diff --git a/.nojekyll b/.nojekyll new file mode 100644 index 00000000..e69de29b diff --git a/404.html b/404.html new file mode 100644 index 00000000..3c53abee --- /dev/null +++ b/404.html @@ -0,0 +1,2933 @@ + + + + + + + + + + + + + + + + + + + + + + Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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404 - Not found

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+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/CNAME b/CNAME new file mode 100644 index 00000000..eb26bc95 --- /dev/null +++ b/CNAME @@ -0,0 +1 @@ +data.catering \ No newline at end of file diff --git a/about/index.html b/about/index.html new file mode 100644 index 00000000..d7989c42 --- /dev/null +++ b/about/index.html @@ -0,0 +1,3128 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + About - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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About

+

Hi, my name is Peter. I am a Software Developer, mainly focussing on data related services. My experience +can be found on my LinkedIn.

+

I have created Data Caterer to help serve individuals and companies with data generation and data testing. It is a +complex area that has many edge cases or intricacies that are hard to summarise or turn into something actionable and +repeatable. Through the use of metadata, Data Caterer can help simplify your data testing, simulating production +environment data, aid in data debugging, or whatever your data use case may be.

+

Given that it is going to save you and your team time and money, please help in considering financial support. This will +help the product grow into a sustainable and feature-full service.

+

Contact

+

Please contact Peter Flook +via Slack +or via email peter.flook@data.catering if you have any questions or queries.

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+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/assets/external/cdn.jsdelivr.net/gh/jdecked/twemoji@15.0.3/assets/svg/2705.svg b/assets/external/cdn.jsdelivr.net/gh/jdecked/twemoji@15.0.3/assets/svg/2705.svg new file mode 100644 index 00000000..9817a091 --- /dev/null +++ b/assets/external/cdn.jsdelivr.net/gh/jdecked/twemoji@15.0.3/assets/svg/2705.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/assets/external/fonts.googleapis.com/css.49ea35f2.css b/assets/external/fonts.googleapis.com/css.49ea35f2.css new file mode 100644 index 00000000..8187a642 --- /dev/null +++ b/assets/external/fonts.googleapis.com/css.49ea35f2.css @@ -0,0 +1,594 @@ +/* cyrillic-ext */ +@font-face { + font-family: 'Roboto'; + font-style: italic; + font-weight: 300; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOjCnqEu92Fr1Mu51TjASc3CsTKlA.woff2) format('woff2'); + unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F; +} +/* cyrillic */ +@font-face { + font-family: 'Roboto'; + font-style: italic; + font-weight: 300; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOjCnqEu92Fr1Mu51TjASc-CsTKlA.woff2) format('woff2'); + unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116; +} +/* greek-ext */ +@font-face { + font-family: 'Roboto'; + font-style: italic; + font-weight: 300; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOjCnqEu92Fr1Mu51TjASc2CsTKlA.woff2) format('woff2'); + unicode-range: U+1F00-1FFF; +} +/* greek */ +@font-face { + font-family: 'Roboto'; + font-style: italic; + font-weight: 300; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOjCnqEu92Fr1Mu51TjASc5CsTKlA.woff2) format('woff2'); + unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF; +} +/* vietnamese */ +@font-face { + font-family: 'Roboto'; + font-style: italic; + font-weight: 300; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOjCnqEu92Fr1Mu51TjASc1CsTKlA.woff2) format('woff2'); + unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB; +} +/* latin-ext */ +@font-face { + font-family: 'Roboto'; + font-style: italic; + font-weight: 300; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOjCnqEu92Fr1Mu51TjASc0CsTKlA.woff2) format('woff2'); + unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF; +} +/* latin */ +@font-face { + font-family: 'Roboto'; + font-style: italic; + font-weight: 300; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOjCnqEu92Fr1Mu51TjASc6CsQ.woff2) format('woff2'); + unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD; +} +/* cyrillic-ext */ +@font-face { + font-family: 'Roboto'; + font-style: italic; + font-weight: 400; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOkCnqEu92Fr1Mu51xFIzIFKw.woff2) format('woff2'); + unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F; +} +/* cyrillic */ +@font-face { + font-family: 'Roboto'; + font-style: italic; + font-weight: 400; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOkCnqEu92Fr1Mu51xMIzIFKw.woff2) format('woff2'); + unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116; +} +/* greek-ext */ +@font-face { + font-family: 'Roboto'; + font-style: italic; + font-weight: 400; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOkCnqEu92Fr1Mu51xEIzIFKw.woff2) format('woff2'); + unicode-range: U+1F00-1FFF; +} +/* greek */ +@font-face { + font-family: 'Roboto'; + font-style: italic; + font-weight: 400; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOkCnqEu92Fr1Mu51xLIzIFKw.woff2) format('woff2'); + unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF; +} +/* vietnamese */ +@font-face { + font-family: 'Roboto'; + font-style: italic; + font-weight: 400; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOkCnqEu92Fr1Mu51xHIzIFKw.woff2) format('woff2'); + unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB; +} +/* latin-ext */ +@font-face { + font-family: 'Roboto'; + font-style: italic; + font-weight: 400; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOkCnqEu92Fr1Mu51xGIzIFKw.woff2) format('woff2'); + unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF; +} +/* latin */ +@font-face { + font-family: 'Roboto'; + font-style: italic; + font-weight: 400; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOkCnqEu92Fr1Mu51xIIzI.woff2) format('woff2'); + unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD; +} +/* cyrillic-ext */ +@font-face { + font-family: 'Roboto'; + font-style: italic; + font-weight: 700; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOjCnqEu92Fr1Mu51TzBic3CsTKlA.woff2) format('woff2'); + unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F; +} +/* cyrillic */ +@font-face { + font-family: 'Roboto'; + font-style: italic; + font-weight: 700; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOjCnqEu92Fr1Mu51TzBic-CsTKlA.woff2) format('woff2'); + unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116; +} +/* greek-ext */ +@font-face { + font-family: 'Roboto'; + font-style: italic; + font-weight: 700; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOjCnqEu92Fr1Mu51TzBic2CsTKlA.woff2) format('woff2'); + unicode-range: U+1F00-1FFF; +} +/* greek */ +@font-face { + font-family: 'Roboto'; + font-style: italic; + font-weight: 700; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOjCnqEu92Fr1Mu51TzBic5CsTKlA.woff2) format('woff2'); + unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF; +} +/* vietnamese */ +@font-face { + font-family: 'Roboto'; + font-style: italic; + font-weight: 700; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOjCnqEu92Fr1Mu51TzBic1CsTKlA.woff2) format('woff2'); + unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB; +} +/* latin-ext */ +@font-face { + font-family: 'Roboto'; + font-style: italic; + font-weight: 700; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOjCnqEu92Fr1Mu51TzBic0CsTKlA.woff2) format('woff2'); + unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF; +} +/* latin */ +@font-face { + font-family: 'Roboto'; + font-style: italic; + font-weight: 700; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOjCnqEu92Fr1Mu51TzBic6CsQ.woff2) format('woff2'); + unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD; +} +/* cyrillic-ext */ +@font-face { + font-family: 'Roboto'; + font-style: normal; + font-weight: 300; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOlCnqEu92Fr1MmSU5fCRc4EsA.woff2) format('woff2'); + unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F; +} +/* cyrillic */ +@font-face { + font-family: 'Roboto'; + font-style: normal; + font-weight: 300; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOlCnqEu92Fr1MmSU5fABc4EsA.woff2) format('woff2'); + unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116; +} +/* greek-ext */ +@font-face { + font-family: 'Roboto'; + font-style: normal; + font-weight: 300; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOlCnqEu92Fr1MmSU5fCBc4EsA.woff2) format('woff2'); + unicode-range: U+1F00-1FFF; +} +/* greek */ +@font-face { + font-family: 'Roboto'; + font-style: normal; + font-weight: 300; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOlCnqEu92Fr1MmSU5fBxc4EsA.woff2) format('woff2'); + unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF; +} +/* vietnamese */ +@font-face { + font-family: 'Roboto'; + font-style: normal; + font-weight: 300; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOlCnqEu92Fr1MmSU5fCxc4EsA.woff2) format('woff2'); + unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB; +} +/* latin-ext */ +@font-face { + font-family: 'Roboto'; + font-style: normal; + font-weight: 300; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOlCnqEu92Fr1MmSU5fChc4EsA.woff2) format('woff2'); + unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF; +} +/* latin */ +@font-face { + font-family: 'Roboto'; + font-style: normal; + font-weight: 300; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOlCnqEu92Fr1MmSU5fBBc4.woff2) format('woff2'); + unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD; +} +/* cyrillic-ext */ +@font-face { + font-family: 'Roboto'; + font-style: normal; + font-weight: 400; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOmCnqEu92Fr1Mu72xKOzY.woff2) format('woff2'); + unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F; +} +/* cyrillic */ +@font-face { + font-family: 'Roboto'; + font-style: normal; + font-weight: 400; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOmCnqEu92Fr1Mu5mxKOzY.woff2) format('woff2'); + unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116; +} +/* greek-ext */ +@font-face { + font-family: 'Roboto'; + font-style: normal; + font-weight: 400; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOmCnqEu92Fr1Mu7mxKOzY.woff2) format('woff2'); + unicode-range: U+1F00-1FFF; +} +/* greek */ +@font-face { + font-family: 'Roboto'; + font-style: normal; + font-weight: 400; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOmCnqEu92Fr1Mu4WxKOzY.woff2) format('woff2'); + unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF; +} +/* vietnamese */ +@font-face { + font-family: 'Roboto'; + font-style: normal; + font-weight: 400; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOmCnqEu92Fr1Mu7WxKOzY.woff2) format('woff2'); + unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB; +} +/* latin-ext */ +@font-face { + font-family: 'Roboto'; + font-style: normal; + font-weight: 400; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOmCnqEu92Fr1Mu7GxKOzY.woff2) format('woff2'); + unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF; +} +/* latin */ +@font-face { + font-family: 'Roboto'; + font-style: normal; + font-weight: 400; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOmCnqEu92Fr1Mu4mxK.woff2) format('woff2'); + unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD; +} +/* cyrillic-ext */ +@font-face { + font-family: 'Roboto'; + font-style: normal; + font-weight: 700; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOlCnqEu92Fr1MmWUlfCRc4EsA.woff2) format('woff2'); + unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F; +} +/* cyrillic */ +@font-face { + font-family: 'Roboto'; + font-style: normal; + font-weight: 700; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOlCnqEu92Fr1MmWUlfABc4EsA.woff2) format('woff2'); + unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116; +} +/* greek-ext */ +@font-face { + font-family: 'Roboto'; + font-style: normal; + font-weight: 700; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOlCnqEu92Fr1MmWUlfCBc4EsA.woff2) format('woff2'); + unicode-range: U+1F00-1FFF; +} +/* greek */ +@font-face { + font-family: 'Roboto'; + font-style: normal; + font-weight: 700; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOlCnqEu92Fr1MmWUlfBxc4EsA.woff2) format('woff2'); + unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF; +} +/* vietnamese */ +@font-face { + font-family: 'Roboto'; + font-style: normal; + font-weight: 700; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOlCnqEu92Fr1MmWUlfCxc4EsA.woff2) format('woff2'); + unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB; +} +/* latin-ext */ +@font-face { + font-family: 'Roboto'; + font-style: normal; + font-weight: 700; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOlCnqEu92Fr1MmWUlfChc4EsA.woff2) format('woff2'); + unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF; +} +/* latin */ +@font-face { + font-family: 'Roboto'; + font-style: normal; + font-weight: 700; + font-display: fallback; + src: url(../fonts.gstatic.com/s/roboto/v30/KFOlCnqEu92Fr1MmWUlfBBc4.woff2) format('woff2'); + unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD; +} +/* cyrillic-ext */ +@font-face { + font-family: 'Roboto Mono'; + font-style: italic; + font-weight: 400; + font-display: fallback; + src: url(../fonts.gstatic.com/s/robotomono/v23/L0xdDF4xlVMF-BfR8bXMIjhOsXG-q2oeuFoqFrlnAIe2Imhk1T8rbociImtEluUlYIw.woff2) format('woff2'); + unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F; +} +/* cyrillic */ +@font-face { + font-family: 'Roboto Mono'; + font-style: italic; + font-weight: 400; + font-display: fallback; + src: url(../fonts.gstatic.com/s/robotomono/v23/L0xdDF4xlVMF-BfR8bXMIjhOsXG-q2oeuFoqFrlnAIe2Imhk1T8rbociImtEn-UlYIw.woff2) format('woff2'); + unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116; +} +/* greek */ +@font-face { + font-family: 'Roboto Mono'; + font-style: italic; + font-weight: 400; + font-display: fallback; + src: url(../fonts.gstatic.com/s/robotomono/v23/L0xdDF4xlVMF-BfR8bXMIjhOsXG-q2oeuFoqFrlnAIe2Imhk1T8rbociImtEmOUlYIw.woff2) format('woff2'); + unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF; +} +/* vietnamese */ +@font-face { + font-family: 'Roboto Mono'; + font-style: italic; + font-weight: 400; + font-display: fallback; + src: url(../fonts.gstatic.com/s/robotomono/v23/L0xdDF4xlVMF-BfR8bXMIjhOsXG-q2oeuFoqFrlnAIe2Imhk1T8rbociImtElOUlYIw.woff2) format('woff2'); + unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB; +} +/* latin-ext */ +@font-face { + font-family: 'Roboto Mono'; + font-style: italic; + font-weight: 400; + font-display: fallback; + src: url(../fonts.gstatic.com/s/robotomono/v23/L0xdDF4xlVMF-BfR8bXMIjhOsXG-q2oeuFoqFrlnAIe2Imhk1T8rbociImtEleUlYIw.woff2) format('woff2'); + unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF; +} +/* latin */ +@font-face { + font-family: 'Roboto Mono'; + font-style: italic; + font-weight: 400; + font-display: fallback; + src: url(../fonts.gstatic.com/s/robotomono/v23/L0xdDF4xlVMF-BfR8bXMIjhOsXG-q2oeuFoqFrlnAIe2Imhk1T8rbociImtEm-Ul.woff2) format('woff2'); + unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD; +} +/* cyrillic-ext */ +@font-face { + font-family: 'Roboto Mono'; + font-style: italic; + font-weight: 700; + font-display: fallback; + src: url(../fonts.gstatic.com/s/robotomono/v23/L0xdDF4xlVMF-BfR8bXMIjhOsXG-q2oeuFoqFrlnAIe2Imhk1T8rbociImtEluUlYIw.woff2) format('woff2'); + unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F; +} +/* cyrillic */ +@font-face { + font-family: 'Roboto Mono'; + font-style: italic; + font-weight: 700; + font-display: fallback; + src: url(../fonts.gstatic.com/s/robotomono/v23/L0xdDF4xlVMF-BfR8bXMIjhOsXG-q2oeuFoqFrlnAIe2Imhk1T8rbociImtEn-UlYIw.woff2) format('woff2'); + unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116; +} +/* greek */ +@font-face { + font-family: 'Roboto Mono'; + font-style: italic; + font-weight: 700; + font-display: fallback; + src: url(../fonts.gstatic.com/s/robotomono/v23/L0xdDF4xlVMF-BfR8bXMIjhOsXG-q2oeuFoqFrlnAIe2Imhk1T8rbociImtEmOUlYIw.woff2) format('woff2'); + unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF; +} +/* vietnamese */ +@font-face { + font-family: 'Roboto Mono'; + font-style: italic; + font-weight: 700; + font-display: fallback; + src: url(../fonts.gstatic.com/s/robotomono/v23/L0xdDF4xlVMF-BfR8bXMIjhOsXG-q2oeuFoqFrlnAIe2Imhk1T8rbociImtElOUlYIw.woff2) format('woff2'); + unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB; +} +/* latin-ext */ +@font-face { + font-family: 'Roboto Mono'; + font-style: italic; + font-weight: 700; + font-display: fallback; + src: url(../fonts.gstatic.com/s/robotomono/v23/L0xdDF4xlVMF-BfR8bXMIjhOsXG-q2oeuFoqFrlnAIe2Imhk1T8rbociImtEleUlYIw.woff2) format('woff2'); + unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF; +} +/* latin */ +@font-face { + font-family: 'Roboto Mono'; + font-style: italic; + font-weight: 700; + font-display: fallback; + src: url(../fonts.gstatic.com/s/robotomono/v23/L0xdDF4xlVMF-BfR8bXMIjhOsXG-q2oeuFoqFrlnAIe2Imhk1T8rbociImtEm-Ul.woff2) format('woff2'); + unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD; +} +/* cyrillic-ext */ +@font-face { + font-family: 'Roboto Mono'; + font-style: normal; + font-weight: 400; + font-display: fallback; + src: url(../fonts.gstatic.com/s/robotomono/v23/L0xTDF4xlVMF-BfR8bXMIhJHg45mwgGEFl0_3vrtSM1J-gEPT5Ese6hmHSV0mf0h.woff2) format('woff2'); + unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F; +} +/* cyrillic */ +@font-face { + font-family: 'Roboto Mono'; + font-style: normal; + font-weight: 400; + font-display: fallback; + src: url(../fonts.gstatic.com/s/robotomono/v23/L0xTDF4xlVMF-BfR8bXMIhJHg45mwgGEFl0_3vrtSM1J-gEPT5Ese6hmHSx0mf0h.woff2) format('woff2'); + unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116; +} +/* greek */ +@font-face { + font-family: 'Roboto Mono'; + font-style: normal; + font-weight: 400; + font-display: fallback; + src: url(../fonts.gstatic.com/s/robotomono/v23/L0xTDF4xlVMF-BfR8bXMIhJHg45mwgGEFl0_3vrtSM1J-gEPT5Ese6hmHSt0mf0h.woff2) format('woff2'); + unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF; +} +/* vietnamese */ +@font-face { + font-family: 'Roboto Mono'; + font-style: normal; + font-weight: 400; + font-display: fallback; + src: url(../fonts.gstatic.com/s/robotomono/v23/L0xTDF4xlVMF-BfR8bXMIhJHg45mwgGEFl0_3vrtSM1J-gEPT5Ese6hmHSd0mf0h.woff2) format('woff2'); + unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB; +} +/* latin-ext */ +@font-face { + font-family: 'Roboto Mono'; + font-style: normal; + font-weight: 400; + font-display: fallback; + src: url(../fonts.gstatic.com/s/robotomono/v23/L0xTDF4xlVMF-BfR8bXMIhJHg45mwgGEFl0_3vrtSM1J-gEPT5Ese6hmHSZ0mf0h.woff2) format('woff2'); + unicode-range: U+0100-02AF, U+0304, U+0308, U+0329, U+1E00-1E9F, U+1EF2-1EFF, U+2020, U+20A0-20AB, U+20AD-20C0, U+2113, U+2C60-2C7F, U+A720-A7FF; +} +/* latin */ +@font-face { + font-family: 'Roboto Mono'; + font-style: normal; + font-weight: 400; + font-display: fallback; + src: url(../fonts.gstatic.com/s/robotomono/v23/L0xTDF4xlVMF-BfR8bXMIhJHg45mwgGEFl0_3vrtSM1J-gEPT5Ese6hmHSh0mQ.woff2) format('woff2'); + unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+0304, U+0308, U+0329, U+2000-206F, U+2074, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD; +} +/* cyrillic-ext */ +@font-face { + font-family: 'Roboto Mono'; + font-style: normal; + font-weight: 700; + font-display: fallback; + src: url(../fonts.gstatic.com/s/robotomono/v23/L0xTDF4xlVMF-BfR8bXMIhJHg45mwgGEFl0_3vrtSM1J-gEPT5Ese6hmHSV0mf0h.woff2) format('woff2'); + unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F; +} +/* cyrillic */ +@font-face { + font-family: 'Roboto Mono'; + font-style: normal; + font-weight: 700; + font-display: fallback; + src: url(../fonts.gstatic.com/s/robotomono/v23/L0xTDF4xlVMF-BfR8bXMIhJHg45mwgGEFl0_3vrtSM1J-gEPT5Ese6hmHSx0mf0h.woff2) format('woff2'); + unicode-range: U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116; +} +/* greek */ +@font-face { + font-family: 'Roboto Mono'; + font-style: normal; + font-weight: 700; + font-display: fallback; + src: url(../fonts.gstatic.com/s/robotomono/v23/L0xTDF4xlVMF-BfR8bXMIhJHg45mwgGEFl0_3vrtSM1J-gEPT5Ese6hmHSt0mf0h.woff2) format('woff2'); + unicode-range: U+0370-0377, U+037A-037F, U+0384-038A, U+038C, U+038E-03A1, U+03A3-03FF; +} +/* vietnamese */ +@font-face { + font-family: 'Roboto Mono'; + font-style: normal; + font-weight: 700; + font-display: fallback; + src: url(../fonts.gstatic.com/s/robotomono/v23/L0xTDF4xlVMF-BfR8bXMIhJHg45mwgGEFl0_3vrtSM1J-gEPT5Ese6hmHSd0mf0h.woff2) format('woff2'); + unicode-range: U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+0300-0301, U+0303-0304, U+0308-0309, U+0323, U+0329, U+1EA0-1EF9, U+20AB; +} +/* latin-ext */ +@font-face { + font-family: 'Roboto Mono'; + font-style: normal; + font-weight: 700; + font-display: fallback; 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s=kX.colors[i];if(s)return VF.parse(s)},stringify:i=>{const s=VF.stringify(i);for(const u in kX.colors)if(kX.colors[u]===s)return u}},CRe=kX,SRe={re:/^rgba?\(\s*?(-?(?:\d+(?:\.\d+)?|(?:\.\d+))(?:e\d+)?(%?))\s*?(?:,|\s)\s*?(-?(?:\d+(?:\.\d+)?|(?:\.\d+))(?:e\d+)?(%?))\s*?(?:,|\s)\s*?(-?(?:\d+(?:\.\d+)?|(?:\.\d+))(?:e\d+)?(%?))(?:\s*?(?:,|\/)\s*?\+?(-?(?:\d+(?:\.\d+)?|(?:\.\d+))(?:e\d+)?(%?)))?\s*?\)$/i,parse:i=>{const s=i.charCodeAt(0);if(s!==114&&s!==82)return;const u=i.match(SRe.re);if(!u)return;const[,d,p,v,b,y,T,_,A]=u;return wX.set({r:Wa.channel.clamp.r(p?parseFloat(d)*2.55:parseFloat(d)),g:Wa.channel.clamp.g(b?parseFloat(v)*2.55:parseFloat(v)),b:Wa.channel.clamp.b(T?parseFloat(y)*2.55:parseFloat(y)),a:_?Wa.channel.clamp.a(A?parseFloat(_)/100:parseFloat(_)):1},i)},stringify:i=>{const{r:s,g:u,b:d,a:p}=i;return p<1?`rgba(${Wa.lang.round(s)}, ${Wa.lang.round(u)}, ${Wa.lang.round(d)}, ${Wa.lang.round(p)})`:`rgb(${Wa.lang.round(s)}, ${Wa.lang.round(u)}, ${Wa.lang.round(d)})`}},EX=SRe,O3={format:{keyword:CRe,hex:VF,rgb:EX,rgba:EX,hsl:xX,hsla:xX},parse:i=>{if(typeof i!="string")return i;const s=VF.parse(i)||EX.parse(i)||xX.parse(i)||CRe.parse(i);if(s)return s;throw new Error(`Unsupported color format: "${i}"`)},stringify:i=>!i.changed&&i.color?i.color:i.type.is(Og.HSL)||i.data.r===void 0?xX.stringify(i):i.a<1||!Number.isInteger(i.r)||!Number.isInteger(i.g)||!Number.isInteger(i.b)?EX.stringify(i):VF.stringify(i)},_Re=(i,s)=>{const u=O3.parse(i);for(const d in s)u[d]=Wa.channel.clamp[d](s[d]);return O3.stringify(u)},SC=(i,s,u=0,d=1)=>{if(typeof i!="number")return _Re(i,{a:s});const p=wX.set({r:Wa.channel.clamp.r(i),g:Wa.channel.clamp.g(s),b:Wa.channel.clamp.b(u),a:Wa.channel.clamp.a(d)});return O3.stringify(p)},ARe=(i,s)=>Wa.lang.round(O3.parse(i)[s]),SPt=i=>{const{r:s,g:u,b:d}=O3.parse(i),p=.2126*Wa.channel.toLinear(s)+.7152*Wa.channel.toLinear(u)+.0722*Wa.channel.toLinear(d);return Wa.lang.round(p)},_Pt=i=>SPt(i)>=.5,_C=i=>!_Pt(i),LRe=(i,s,u)=>{const d=O3.parse(i),p=d[s],v=Wa.channel.clamp[s](p+u);return p!==v&&(d[s]=v),O3.stringify(d)},Gs=(i,s)=>LRe(i,"l",s),fa=(i,s)=>LRe(i,"l",-s),In=(i,s)=>{const u=O3.parse(i),d={};for(const p in s)s[p]&&(d[p]=u[p]+s[p]);return _Re(i,d)},APt=(i,s,u=50)=>{const{r:d,g:p,b:v,a:b}=O3.parse(i),{r:y,g:T,b:_,a:A}=O3.parse(s),P=u/100,R=P*2-1,F=b-A,K=((R*F===-1?R:(R+F)/(1+R*F))+1)/2,ee=1-K,ie=d*K+y*ee,oe=p*K+T*ee,pe=v*K+_*ee,be=b*P+A*(1-P);return SC(ie,oe,pe,be)},Vi=(i,s=100)=>{const u=O3.parse(i);return u.r=255-u.r,u.g=255-u.g,u.b=255-u.b,APt(u,i,s)},Tp=(i,s)=>s?In(i,{s:-40,l:10}):In(i,{s:-40,l:-10}),TX="#ffffff",CX="#f2f2f2";let LPt=class{constructor(){this.background="#f4f4f4",this.primaryColor="#fff4dd",this.noteBkgColor="#fff5ad",this.noteTextColor="#333",this.THEME_COLOR_LIMIT=12,this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px"}updateColors(){var u,d,p,v,b,y,T,_,A,P,R;if(this.primaryTextColor=this.primaryTextColor||(this.darkMode?"#eee":"#333"),this.secondaryColor=this.secondaryColor||In(this.primaryColor,{h:-120}),this.tertiaryColor=this.tertiaryColor||In(this.primaryColor,{h:180,l:5}),this.primaryBorderColor=this.primaryBorderColor||Tp(this.primaryColor,this.darkMode),this.secondaryBorderColor=this.secondaryBorderColor||Tp(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=this.tertiaryBorderColor||Tp(this.tertiaryColor,this.darkMode),this.noteBorderColor=this.noteBorderColor||Tp(this.noteBkgColor,this.darkMode),this.noteBkgColor=this.noteBkgColor||"#fff5ad",this.noteTextColor=this.noteTextColor||"#333",this.secondaryTextColor=this.secondaryTextColor||Vi(this.secondaryColor),this.tertiaryTextColor=this.tertiaryTextColor||Vi(this.tertiaryColor),this.lineColor=this.lineColor||Vi(this.background),this.arrowheadColor=this.arrowheadColor||Vi(this.background),this.textColor=this.textColor||this.primaryTextColor,this.border2=this.border2||this.tertiaryBorderColor,this.nodeBkg=this.nodeBkg||this.primaryColor,this.mainBkg=this.mainBkg||this.primaryColor,this.nodeBorder=this.nodeBorder||this.primaryBorderColor,this.clusterBkg=this.clusterBkg||this.tertiaryColor,this.clusterBorder=this.clusterBorder||this.tertiaryBorderColor,this.defaultLinkColor=this.defaultLinkColor||this.lineColor,this.titleColor=this.titleColor||this.tertiaryTextColor,this.edgeLabelBackground=this.edgeLabelBackground||(this.darkMode?fa(this.secondaryColor,30):this.secondaryColor),this.nodeTextColor=this.nodeTextColor||this.primaryTextColor,this.actorBorder=this.actorBorder||this.primaryBorderColor,this.actorBkg=this.actorBkg||this.mainBkg,this.actorTextColor=this.actorTextColor||this.primaryTextColor,this.actorLineColor=this.actorLineColor||"grey",this.labelBoxBkgColor=this.labelBoxBkgColor||this.actorBkg,this.signalColor=this.signalColor||this.textColor,this.signalTextColor=this.signalTextColor||this.textColor,this.labelBoxBorderColor=this.labelBoxBorderColor||this.actorBorder,this.labelTextColor=this.labelTextColor||this.actorTextColor,this.loopTextColor=this.loopTextColor||this.actorTextColor,this.activationBorderColor=this.activationBorderColor||fa(this.secondaryColor,10),this.activationBkgColor=this.activationBkgColor||this.secondaryColor,this.sequenceNumberColor=this.sequenceNumberColor||Vi(this.lineColor),this.sectionBkgColor=this.sectionBkgColor||this.tertiaryColor,this.altSectionBkgColor=this.altSectionBkgColor||"white",this.sectionBkgColor=this.sectionBkgColor||this.secondaryColor,this.sectionBkgColor2=this.sectionBkgColor2||this.primaryColor,this.excludeBkgColor=this.excludeBkgColor||"#eeeeee",this.taskBorderColor=this.taskBorderColor||this.primaryBorderColor,this.taskBkgColor=this.taskBkgColor||this.primaryColor,this.activeTaskBorderColor=this.activeTaskBorderColor||this.primaryColor,this.activeTaskBkgColor=this.activeTaskBkgColor||Gs(this.primaryColor,23),this.gridColor=this.gridColor||"lightgrey",this.doneTaskBkgColor=this.doneTaskBkgColor||"lightgrey",this.doneTaskBorderColor=this.doneTaskBorderColor||"grey",this.critBorderColor=this.critBorderColor||"#ff8888",this.critBkgColor=this.critBkgColor||"red",this.todayLineColor=this.todayLineColor||"red",this.taskTextColor=this.taskTextColor||this.textColor,this.taskTextOutsideColor=this.taskTextOutsideColor||this.textColor,this.taskTextLightColor=this.taskTextLightColor||this.textColor,this.taskTextColor=this.taskTextColor||this.primaryTextColor,this.taskTextDarkColor=this.taskTextDarkColor||this.textColor,this.taskTextClickableColor=this.taskTextClickableColor||"#003163",this.personBorder=this.personBorder||this.primaryBorderColor,this.personBkg=this.personBkg||this.mainBkg,this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||this.tertiaryColor,this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.nodeBorder,this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.transitionColor=this.transitionColor||this.lineColor,this.specialStateColor=this.lineColor,this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||In(this.primaryColor,{h:30}),this.cScale4=this.cScale4||In(this.primaryColor,{h:60}),this.cScale5=this.cScale5||In(this.primaryColor,{h:90}),this.cScale6=this.cScale6||In(this.primaryColor,{h:120}),this.cScale7=this.cScale7||In(this.primaryColor,{h:150}),this.cScale8=this.cScale8||In(this.primaryColor,{h:210,l:150}),this.cScale9=this.cScale9||In(this.primaryColor,{h:270}),this.cScale10=this.cScale10||In(this.primaryColor,{h:300}),this.cScale11=this.cScale11||In(this.primaryColor,{h:330}),this.darkMode)for(let F=0;F{this[d]=s[d]}),this.updateColors(),u.forEach(d=>{this[d]=s[d]})}};const MPt=i=>{const s=new LPt;return s.calculate(i),s};let DPt=class{constructor(){this.background="#333",this.primaryColor="#1f2020",this.secondaryColor=Gs(this.primaryColor,16),this.tertiaryColor=In(this.primaryColor,{h:-160}),this.primaryBorderColor=Vi(this.background),this.secondaryBorderColor=Tp(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=Tp(this.tertiaryColor,this.darkMode),this.primaryTextColor=Vi(this.primaryColor),this.secondaryTextColor=Vi(this.secondaryColor),this.tertiaryTextColor=Vi(this.tertiaryColor),this.lineColor=Vi(this.background),this.textColor=Vi(this.background),this.mainBkg="#1f2020",this.secondBkg="calculated",this.mainContrastColor="lightgrey",this.darkTextColor=Gs(Vi("#323D47"),10),this.lineColor="calculated",this.border1="#81B1DB",this.border2=SC(255,255,255,.25),this.arrowheadColor="calculated",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.labelBackground="#181818",this.textColor="#ccc",this.THEME_COLOR_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="#F9FFFE",this.edgeLabelBackground="calculated",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="calculated",this.actorLineColor="calculated",this.signalColor="calculated",this.signalTextColor="calculated",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="calculated",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="#fff5ad",this.noteTextColor="calculated",this.activationBorderColor="calculated",this.activationBkgColor="calculated",this.sequenceNumberColor="black",this.sectionBkgColor=fa("#EAE8D9",30),this.altSectionBkgColor="calculated",this.sectionBkgColor2="#EAE8D9",this.excludeBkgColor=fa(this.sectionBkgColor,10),this.taskBorderColor=SC(255,255,255,70),this.taskBkgColor="calculated",this.taskTextColor="calculated",this.taskTextLightColor="calculated",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor=SC(255,255,255,50),this.activeTaskBkgColor="#81B1DB",this.gridColor="calculated",this.doneTaskBkgColor="calculated",this.doneTaskBorderColor="grey",this.critBorderColor="#E83737",this.critBkgColor="#E83737",this.taskTextDarkColor="calculated",this.todayLineColor="#DB5757",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.labelColor="calculated",this.errorBkgColor="#a44141",this.errorTextColor="#ddd"}updateColors(){var s,u,d,p,v,b,y,T,_,A,P;this.secondBkg=Gs(this.mainBkg,16),this.lineColor=this.mainContrastColor,this.arrowheadColor=this.mainContrastColor,this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.edgeLabelBackground=Gs(this.labelBackground,25),this.actorBorder=this.border1,this.actorBkg=this.mainBkg,this.actorTextColor=this.mainContrastColor,this.actorLineColor=this.mainContrastColor,this.signalColor=this.mainContrastColor,this.signalTextColor=this.mainContrastColor,this.labelBoxBkgColor=this.actorBkg,this.labelBoxBorderColor=this.actorBorder,this.labelTextColor=this.mainContrastColor,this.loopTextColor=this.mainContrastColor,this.noteBorderColor=this.secondaryBorderColor,this.noteBkgColor=this.secondBkg,this.noteTextColor=this.secondaryTextColor,this.activationBorderColor=this.border1,this.activationBkgColor=this.secondBkg,this.altSectionBkgColor=this.background,this.taskBkgColor=Gs(this.mainBkg,23),this.taskTextColor=this.darkTextColor,this.taskTextLightColor=this.mainContrastColor,this.taskTextOutsideColor=this.taskTextLightColor,this.gridColor=this.mainContrastColor,this.doneTaskBkgColor=this.mainContrastColor,this.taskTextDarkColor=this.darkTextColor,this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||"#555",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.primaryBorderColor,this.specialStateColor="#f4f4f4",this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=In(this.primaryColor,{h:64}),this.fillType3=In(this.secondaryColor,{h:64}),this.fillType4=In(this.primaryColor,{h:-64}),this.fillType5=In(this.secondaryColor,{h:-64}),this.fillType6=In(this.primaryColor,{h:128}),this.fillType7=In(this.secondaryColor,{h:128}),this.cScale1=this.cScale1||"#0b0000",this.cScale2=this.cScale2||"#4d1037",this.cScale3=this.cScale3||"#3f5258",this.cScale4=this.cScale4||"#4f2f1b",this.cScale5=this.cScale5||"#6e0a0a",this.cScale6=this.cScale6||"#3b0048",this.cScale7=this.cScale7||"#995a01",this.cScale8=this.cScale8||"#154706",this.cScale9=this.cScale9||"#161722",this.cScale10=this.cScale10||"#00296f",this.cScale11=this.cScale11||"#01629c",this.cScale12=this.cScale12||"#010029",this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||In(this.primaryColor,{h:30}),this.cScale4=this.cScale4||In(this.primaryColor,{h:60}),this.cScale5=this.cScale5||In(this.primaryColor,{h:90}),this.cScale6=this.cScale6||In(this.primaryColor,{h:120}),this.cScale7=this.cScale7||In(this.primaryColor,{h:150}),this.cScale8=this.cScale8||In(this.primaryColor,{h:210}),this.cScale9=this.cScale9||In(this.primaryColor,{h:270}),this.cScale10=this.cScale10||In(this.primaryColor,{h:300}),this.cScale11=this.cScale11||In(this.primaryColor,{h:330});for(let R=0;R{this[d]=s[d]}),this.updateColors(),u.forEach(d=>{this[d]=s[d]})}};const IPt=i=>{const s=new DPt;return s.calculate(i),s};let OPt=class{constructor(){this.background="#f4f4f4",this.primaryColor="#ECECFF",this.secondaryColor=In(this.primaryColor,{h:120}),this.secondaryColor="#ffffde",this.tertiaryColor=In(this.primaryColor,{h:-160}),this.primaryBorderColor=Tp(this.primaryColor,this.darkMode),this.secondaryBorderColor=Tp(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=Tp(this.tertiaryColor,this.darkMode),this.primaryTextColor=Vi(this.primaryColor),this.secondaryTextColor=Vi(this.secondaryColor),this.tertiaryTextColor=Vi(this.tertiaryColor),this.lineColor=Vi(this.background),this.textColor=Vi(this.background),this.background="white",this.mainBkg="#ECECFF",this.secondBkg="#ffffde",this.lineColor="#333333",this.border1="#9370DB",this.border2="#aaaa33",this.arrowheadColor="#333333",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.labelBackground="#e8e8e8",this.textColor="#333",this.THEME_COLOR_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="calculated",this.edgeLabelBackground="calculated",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="black",this.actorLineColor="grey",this.signalColor="calculated",this.signalTextColor="calculated",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="calculated",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="#fff5ad",this.noteTextColor="calculated",this.activationBorderColor="#666",this.activationBkgColor="#f4f4f4",this.sequenceNumberColor="white",this.sectionBkgColor="calculated",this.altSectionBkgColor="calculated",this.sectionBkgColor2="calculated",this.excludeBkgColor="#eeeeee",this.taskBorderColor="calculated",this.taskBkgColor="calculated",this.taskTextLightColor="calculated",this.taskTextColor=this.taskTextLightColor,this.taskTextDarkColor="calculated",this.taskTextOutsideColor=this.taskTextDarkColor,this.taskTextClickableColor="calculated",this.activeTaskBorderColor="calculated",this.activeTaskBkgColor="calculated",this.gridColor="calculated",this.doneTaskBkgColor="calculated",this.doneTaskBorderColor="calculated",this.critBorderColor="calculated",this.critBkgColor="calculated",this.todayLineColor="calculated",this.sectionBkgColor=SC(102,102,255,.49),this.altSectionBkgColor="white",this.sectionBkgColor2="#fff400",this.taskBorderColor="#534fbc",this.taskBkgColor="#8a90dd",this.taskTextLightColor="white",this.taskTextColor="calculated",this.taskTextDarkColor="black",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor="#534fbc",this.activeTaskBkgColor="#bfc7ff",this.gridColor="lightgrey",this.doneTaskBkgColor="lightgrey",this.doneTaskBorderColor="grey",this.critBorderColor="#ff8888",this.critBkgColor="red",this.todayLineColor="red",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.labelColor="black",this.errorBkgColor="#552222",this.errorTextColor="#552222",this.updateColors()}updateColors(){var s,u,d,p,v,b,y,T,_,A,P;this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||In(this.primaryColor,{h:30}),this.cScale4=this.cScale4||In(this.primaryColor,{h:60}),this.cScale5=this.cScale5||In(this.primaryColor,{h:90}),this.cScale6=this.cScale6||In(this.primaryColor,{h:120}),this.cScale7=this.cScale7||In(this.primaryColor,{h:150}),this.cScale8=this.cScale8||In(this.primaryColor,{h:210}),this.cScale9=this.cScale9||In(this.primaryColor,{h:270}),this.cScale10=this.cScale10||In(this.primaryColor,{h:300}),this.cScale11=this.cScale11||In(this.primaryColor,{h:330}),this["cScalePeer1"]=this["cScalePeer1"]||fa(this.secondaryColor,45),this["cScalePeer2"]=this["cScalePeer2"]||fa(this.tertiaryColor,40);for(let R=0;R{this[d]=s[d]}),this.updateColors(),u.forEach(d=>{this[d]=s[d]})}};const f2e=i=>{const s=new OPt;return s.calculate(i),s};let NPt=class{constructor(){this.background="#f4f4f4",this.primaryColor="#cde498",this.secondaryColor="#cdffb2",this.background="white",this.mainBkg="#cde498",this.secondBkg="#cdffb2",this.lineColor="green",this.border1="#13540c",this.border2="#6eaa49",this.arrowheadColor="green",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.tertiaryColor=Gs("#cde498",10),this.primaryBorderColor=Tp(this.primaryColor,this.darkMode),this.secondaryBorderColor=Tp(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=Tp(this.tertiaryColor,this.darkMode),this.primaryTextColor=Vi(this.primaryColor),this.secondaryTextColor=Vi(this.secondaryColor),this.tertiaryTextColor=Vi(this.primaryColor),this.lineColor=Vi(this.background),this.textColor=Vi(this.background),this.THEME_COLOR_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="#333",this.edgeLabelBackground="#e8e8e8",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="black",this.actorLineColor="grey",this.signalColor="#333",this.signalTextColor="#333",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="#326932",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="#fff5ad",this.noteTextColor="calculated",this.activationBorderColor="#666",this.activationBkgColor="#f4f4f4",this.sequenceNumberColor="white",this.sectionBkgColor="#6eaa49",this.altSectionBkgColor="white",this.sectionBkgColor2="#6eaa49",this.excludeBkgColor="#eeeeee",this.taskBorderColor="calculated",this.taskBkgColor="#487e3a",this.taskTextLightColor="white",this.taskTextColor="calculated",this.taskTextDarkColor="black",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor="calculated",this.activeTaskBkgColor="calculated",this.gridColor="lightgrey",this.doneTaskBkgColor="lightgrey",this.doneTaskBorderColor="grey",this.critBorderColor="#ff8888",this.critBkgColor="red",this.todayLineColor="red",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.labelColor="black",this.errorBkgColor="#552222",this.errorTextColor="#552222"}updateColors(){var s,u,d,p,v,b,y,T,_,A,P;this.actorBorder=fa(this.mainBkg,20),this.actorBkg=this.mainBkg,this.labelBoxBkgColor=this.actorBkg,this.labelTextColor=this.actorTextColor,this.loopTextColor=this.actorTextColor,this.noteBorderColor=this.border2,this.noteTextColor=this.actorTextColor,this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||In(this.primaryColor,{h:30}),this.cScale4=this.cScale4||In(this.primaryColor,{h:60}),this.cScale5=this.cScale5||In(this.primaryColor,{h:90}),this.cScale6=this.cScale6||In(this.primaryColor,{h:120}),this.cScale7=this.cScale7||In(this.primaryColor,{h:150}),this.cScale8=this.cScale8||In(this.primaryColor,{h:210}),this.cScale9=this.cScale9||In(this.primaryColor,{h:270}),this.cScale10=this.cScale10||In(this.primaryColor,{h:300}),this.cScale11=this.cScale11||In(this.primaryColor,{h:330}),this["cScalePeer1"]=this["cScalePeer1"]||fa(this.secondaryColor,45),this["cScalePeer2"]=this["cScalePeer2"]||fa(this.tertiaryColor,40);for(let R=0;R{this[d]=s[d]}),this.updateColors(),u.forEach(d=>{this[d]=s[d]})}};const PPt=i=>{const s=new NPt;return s.calculate(i),s};class BPt{constructor(){this.primaryColor="#eee",this.contrast="#707070",this.secondaryColor=Gs(this.contrast,55),this.background="#ffffff",this.tertiaryColor=In(this.primaryColor,{h:-160}),this.primaryBorderColor=Tp(this.primaryColor,this.darkMode),this.secondaryBorderColor=Tp(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=Tp(this.tertiaryColor,this.darkMode),this.primaryTextColor=Vi(this.primaryColor),this.secondaryTextColor=Vi(this.secondaryColor),this.tertiaryTextColor=Vi(this.tertiaryColor),this.lineColor=Vi(this.background),this.textColor=Vi(this.background),this.mainBkg="#eee",this.secondBkg="calculated",this.lineColor="#666",this.border1="#999",this.border2="calculated",this.note="#ffa",this.text="#333",this.critical="#d42",this.done="#bbb",this.arrowheadColor="#333333",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.THEME_COLOR_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="calculated",this.edgeLabelBackground="white",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="calculated",this.actorLineColor="calculated",this.signalColor="calculated",this.signalTextColor="calculated",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="calculated",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="calculated",this.noteTextColor="calculated",this.activationBorderColor="#666",this.activationBkgColor="#f4f4f4",this.sequenceNumberColor="white",this.sectionBkgColor="calculated",this.altSectionBkgColor="white",this.sectionBkgColor2="calculated",this.excludeBkgColor="#eeeeee",this.taskBorderColor="calculated",this.taskBkgColor="calculated",this.taskTextLightColor="white",this.taskTextColor="calculated",this.taskTextDarkColor="calculated",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor="calculated",this.activeTaskBkgColor="calculated",this.gridColor="calculated",this.doneTaskBkgColor="calculated",this.doneTaskBorderColor="calculated",this.critBkgColor="calculated",this.critBorderColor="calculated",this.todayLineColor="calculated",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.labelColor="black",this.errorBkgColor="#552222",this.errorTextColor="#552222"}updateColors(){var s,u,d,p,v,b,y,T,_,A,P;this.secondBkg=Gs(this.contrast,55),this.border2=this.contrast,this.actorBorder=Gs(this.border1,23),this.actorBkg=this.mainBkg,this.actorTextColor=this.text,this.actorLineColor=this.lineColor,this.signalColor=this.text,this.signalTextColor=this.text,this.labelBoxBkgColor=this.actorBkg,this.labelBoxBorderColor=this.actorBorder,this.labelTextColor=this.text,this.loopTextColor=this.text,this.noteBorderColor="#999",this.noteBkgColor="#666",this.noteTextColor="#fff",this.cScale0=this.cScale0||"#555",this.cScale1=this.cScale1||"#F4F4F4",this.cScale2=this.cScale2||"#555",this.cScale3=this.cScale3||"#BBB",this.cScale4=this.cScale4||"#777",this.cScale5=this.cScale5||"#999",this.cScale6=this.cScale6||"#DDD",this.cScale7=this.cScale7||"#FFF",this.cScale8=this.cScale8||"#DDD",this.cScale9=this.cScale9||"#BBB",this.cScale10=this.cScale10||"#999",this.cScale11=this.cScale11||"#777";for(let R=0;R{this[d]=s[d]}),this.updateColors(),u.forEach(d=>{this[d]=s[d]})}}const E7={base:{getThemeVariables:MPt},dark:{getThemeVariables:IPt},default:{getThemeVariables:f2e},forest:{getThemeVariables:PPt},neutral:{getThemeVariables:i=>{const s=new BPt;return s.calculate(i),s}}},T7={flowchart:{useMaxWidth:!0,titleTopMargin:25,subGraphTitleMargin:{top:0,bottom:0},diagramPadding:8,htmlLabels:!0,nodeSpacing:50,rankSpacing:50,curve:"basis",padding:15,defaultRenderer:"dagre-wrapper",wrappingWidth:200},sequence:{useMaxWidth:!0,hideUnusedParticipants:!1,activationWidth:10,diagramMarginX:50,diagramMarginY:10,actorMargin:50,width:150,height:65,boxMargin:10,boxTextMargin:5,noteMargin:10,messageMargin:35,messageAlign:"center",mirrorActors:!0,forceMenus:!1,bottomMarginAdj:1,rightAngles:!1,showSequenceNumbers:!1,actorFontSize:14,actorFontFamily:'"Open Sans", sans-serif',actorFontWeight:400,noteFontSize:14,noteFontFamily:'"trebuchet ms", verdana, arial, sans-serif',noteFontWeight:400,noteAlign:"center",messageFontSize:16,messageFontFamily:'"trebuchet ms", verdana, arial, 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sans-serif',taskMargin:50,activationWidth:10,textPlacement:"fo",actorColours:["#8FBC8F","#7CFC00","#00FFFF","#20B2AA","#B0E0E6","#FFFFE0"],sectionFills:["#191970","#8B008B","#4B0082","#2F4F4F","#800000","#8B4513","#00008B"],sectionColours:["#fff"]},class:{useMaxWidth:!0,titleTopMargin:25,arrowMarkerAbsolute:!1,dividerMargin:10,padding:5,textHeight:10,defaultRenderer:"dagre-wrapper",htmlLabels:!1},state:{useMaxWidth:!0,titleTopMargin:25,dividerMargin:10,sizeUnit:5,padding:8,textHeight:10,titleShift:-15,noteMargin:10,forkWidth:70,forkHeight:7,miniPadding:2,fontSizeFactor:5.02,fontSize:24,labelHeight:16,edgeLengthFactor:"20",compositTitleSize:35,radius:5,defaultRenderer:"dagre-wrapper"},er:{useMaxWidth:!0,titleTopMargin:25,diagramPadding:20,layoutDirection:"TB",minEntityWidth:100,minEntityHeight:75,entityPadding:15,stroke:"gray",fill:"honeydew",fontSize:12},pie:{useMaxWidth:!0,textPosition:.75},quadrantChart:{useMaxWidth:!0,chartWidth:500,chartHeight:500,titleFontSize:20,titlePadding:10,quadrantPadding:5,xAxisLabelPadding:5,yAxisLabelPadding:5,xAxisLabelFontSize:16,yAxisLabelFontSize:16,quadrantLabelFontSize:16,quadrantTextTopPadding:5,pointTextPadding:5,pointLabelFontSize:12,pointRadius:5,xAxisPosition:"top",yAxisPosition:"left",quadrantInternalBorderStrokeWidth:1,quadrantExternalBorderStrokeWidth:2},xyChart:{useMaxWidth:!0,width:700,height:500,titleFontSize:20,titlePadding:10,showTitle:!0,xAxis:{$ref:"#/$defs/XYChartAxisConfig",showLabel:!0,labelFontSize:14,labelPadding:5,showTitle:!0,titleFontSize:16,titlePadding:5,showTick:!0,tickLength:5,tickWidth:2,showAxisLine:!0,axisLineWidth:2},yAxis:{$ref:"#/$defs/XYChartAxisConfig",showLabel:!0,labelFontSize:14,labelPadding:5,showTitle:!0,titleFontSize:16,titlePadding:5,showTick:!0,tickLength:5,tickWidth:2,showAxisLine:!0,axisLineWidth:2},chartOrientation:"vertical",plotReservedSpacePercent:50},requirement:{useMaxWidth:!0,rect_fill:"#f9f9f9",text_color:"#333",rect_border_size:"0.5px",rect_border_color:"#bbb",rect_min_width:200,rect_min_height:200,fontSize:14,rect_padding:10,line_height:20},mindmap:{useMaxWidth:!0,padding:10,maxNodeWidth:200},timeline:{useMaxWidth:!0,diagramMarginX:50,diagramMarginY:10,leftMargin:150,width:150,height:50,boxMargin:10,boxTextMargin:5,noteMargin:10,messageMargin:35,messageAlign:"center",bottomMarginAdj:1,rightAngles:!1,taskFontSize:14,taskFontFamily:'"Open Sans", sans-serif',taskMargin:50,activationWidth:10,textPlacement:"fo",actorColours:["#8FBC8F","#7CFC00","#00FFFF","#20B2AA","#B0E0E6","#FFFFE0"],sectionFills:["#191970","#8B008B","#4B0082","#2F4F4F","#800000","#8B4513","#00008B"],sectionColours:["#fff"],disableMulticolor:!1},gitGraph:{useMaxWidth:!0,titleTopMargin:25,diagramPadding:8,nodeLabel:{width:75,height:100,x:-25,y:0},mainBranchName:"main",mainBranchOrder:0,showCommitLabel:!0,showBranches:!0,rotateCommitLabel:!0,parallelCommits:!1,arrowMarkerAbsolute:!1},c4:{useMaxWidth:!0,diagramMarginX:50,diagramMarginY:10,c4ShapeMargin:50,c4ShapePadding:20,width:216,height:60,boxMargin:10,c4ShapeInRow:4,nextLinePaddingX:0,c4BoundaryInRow:2,personFontSize:14,personFontFamily:'"Open Sans", sans-serif',personFontWeight:"normal",external_personFontSize:14,external_personFontFamily:'"Open Sans", sans-serif',external_personFontWeight:"normal",systemFontSize:14,systemFontFamily:'"Open Sans", sans-serif',systemFontWeight:"normal",external_systemFontSize:14,external_systemFontFamily:'"Open Sans", sans-serif',external_systemFontWeight:"normal",system_dbFontSize:14,system_dbFontFamily:'"Open Sans", sans-serif',system_dbFontWeight:"normal",external_system_dbFontSize:14,external_system_dbFontFamily:'"Open Sans", sans-serif',external_system_dbFontWeight:"normal",system_queueFontSize:14,system_queueFontFamily:'"Open Sans", sans-serif',system_queueFontWeight:"normal",external_system_queueFontSize:14,external_system_queueFontFamily:'"Open Sans", sans-serif',external_system_queueFontWeight:"normal",boundaryFontSize:14,boundaryFontFamily:'"Open Sans", sans-serif',boundaryFontWeight:"normal",messageFontSize:12,messageFontFamily:'"Open Sans", sans-serif',messageFontWeight:"normal",containerFontSize:14,containerFontFamily:'"Open Sans", sans-serif',containerFontWeight:"normal",external_containerFontSize:14,external_containerFontFamily:'"Open Sans", sans-serif',external_containerFontWeight:"normal",container_dbFontSize:14,container_dbFontFamily:'"Open Sans", sans-serif',container_dbFontWeight:"normal",external_container_dbFontSize:14,external_container_dbFontFamily:'"Open Sans", sans-serif',external_container_dbFontWeight:"normal",container_queueFontSize:14,container_queueFontFamily:'"Open Sans", sans-serif',container_queueFontWeight:"normal",external_container_queueFontSize:14,external_container_queueFontFamily:'"Open Sans", sans-serif',external_container_queueFontWeight:"normal",componentFontSize:14,componentFontFamily:'"Open Sans", sans-serif',componentFontWeight:"normal",external_componentFontSize:14,external_componentFontFamily:'"Open Sans", sans-serif',external_componentFontWeight:"normal",component_dbFontSize:14,component_dbFontFamily:'"Open Sans", sans-serif',component_dbFontWeight:"normal",external_component_dbFontSize:14,external_component_dbFontFamily:'"Open Sans", sans-serif',external_component_dbFontWeight:"normal",component_queueFontSize:14,component_queueFontFamily:'"Open Sans", sans-serif',component_queueFontWeight:"normal",external_component_queueFontSize:14,external_component_queueFontFamily:'"Open Sans", sans-serif',external_component_queueFontWeight:"normal",wrap:!0,wrapPadding:10,person_bg_color:"#08427B",person_border_color:"#073B6F",external_person_bg_color:"#686868",external_person_border_color:"#8A8A8A",system_bg_color:"#1168BD",system_border_color:"#3C7FC0",system_db_bg_color:"#1168BD",system_db_border_color:"#3C7FC0",system_queue_bg_color:"#1168BD",system_queue_border_color:"#3C7FC0",external_system_bg_color:"#999999",external_system_border_color:"#8A8A8A",external_system_db_bg_color:"#999999",external_system_db_border_color:"#8A8A8A",external_system_queue_bg_color:"#999999",external_system_queue_border_color:"#8A8A8A",container_bg_color:"#438DD5",container_border_color:"#3C7FC0",container_db_bg_color:"#438DD5",container_db_border_color:"#3C7FC0",container_queue_bg_color:"#438DD5",container_queue_border_color:"#3C7FC0",external_container_bg_color:"#B3B3B3",external_container_border_color:"#A6A6A6",external_container_db_bg_color:"#B3B3B3",external_container_db_border_color:"#A6A6A6",external_container_queue_bg_color:"#B3B3B3",external_container_queue_border_color:"#A6A6A6",component_bg_color:"#85BBF0",component_border_color:"#78A8D8",component_db_bg_color:"#85BBF0",component_db_border_color:"#78A8D8",component_queue_bg_color:"#85BBF0",component_queue_border_color:"#78A8D8",external_component_bg_color:"#CCCCCC",external_component_border_color:"#BFBFBF",external_component_db_bg_color:"#CCCCCC",external_component_db_border_color:"#BFBFBF",external_component_queue_bg_color:"#CCCCCC",external_component_queue_border_color:"#BFBFBF"},sankey:{useMaxWidth:!0,width:600,height:400,linkColor:"gradient",nodeAlignment:"justify",showValues:!0,prefix:"",suffix:""},block:{useMaxWidth:!0,padding:8},theme:"default",maxTextSize:5e4,maxEdges:500,darkMode:!1,fontFamily:'"trebuchet 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5.5-11.5 2-13.3 5.7-27 11-41 14.7-44.7 39 +-84.5 73-119.5s73.7-60.2 119-75.5c6-2 9-5.7 9-11s-3-9-9-11c-45.3-15.3-85-40.5 +-119-75.5s-58.3-74.8-73-119.5c-4.7-14-8.3-27.3-11-40-1.3-6.7-3.2-10.8-5.5 +-12.5-2.3-1.7-7.5-2.5-15.5-2.5-14 0-21 3.7-21 11 0 2 2 10.3 6 25 20.7 83.3 67 +151.7 139 205zm96 379h399894v40H0zm0 0h399904v40H0z`,baraboveshortleftharpoon:`M507,435c-4,4,-6.3,8.7,-7,14c0,5.3,0.7,9,2,11 +c1.3,2,5.3,5.3,12,10c90.7,54,156,130,196,228c3.3,10.7,6.3,16.3,9,17 +c2,0.7,5,1,9,1c0,0,5,0,5,0c10.7,0,16.7,-2,18,-6c2,-2.7,1,-9.7,-3,-21 +c-32,-87.3,-82.7,-157.7,-152,-211c0,0,-3,-3,-3,-3l399351,0l0,-40 +c-398570,0,-399437,0,-399437,0z M593 435 v40 H399500 v-40z +M0 281 v-40 H399908 v40z M0 281 v-40 H399908 v40z`,rightharpoonaboveshortbar:`M0,241 l0,40c399126,0,399993,0,399993,0 +c4.7,-4.7,7,-9.3,7,-14c0,-9.3,-3.7,-15.3,-11,-18c-92.7,-56.7,-159,-133.7,-199, +-231c-3.3,-9.3,-6,-14.7,-8,-16c-2,-1.3,-7,-2,-15,-2c-10.7,0,-16.7,2,-18,6 +c-2,2.7,-1,9.7,3,21c15.3,42,36.7,81.8,64,119.5c27.3,37.7,58,69.2,92,94.5z +M0 241 v40 H399908 v-40z M0 475 v-40 H399500 v40z M0 475 v-40 H399500 v40z`,shortbaraboveleftharpoon:`M7,435c-4,4,-6.3,8.7,-7,14c0,5.3,0.7,9,2,11 +c1.3,2,5.3,5.3,12,10c90.7,54,156,130,196,228c3.3,10.7,6.3,16.3,9,17c2,0.7,5,1,9, +1c0,0,5,0,5,0c10.7,0,16.7,-2,18,-6c2,-2.7,1,-9.7,-3,-21c-32,-87.3,-82.7,-157.7, +-152,-211c0,0,-3,-3,-3,-3l399907,0l0,-40c-399126,0,-399993,0,-399993,0z +M93 435 v40 H400000 v-40z M500 241 v40 H400000 v-40z M500 241 v40 H400000 v-40z`,shortrightharpoonabovebar:`M53,241l0,40c398570,0,399437,0,399437,0 +c4.7,-4.7,7,-9.3,7,-14c0,-9.3,-3.7,-15.3,-11,-18c-92.7,-56.7,-159,-133.7,-199, +-231c-3.3,-9.3,-6,-14.7,-8,-16c-2,-1.3,-7,-2,-15,-2c-10.7,0,-16.7,2,-18,6 +c-2,2.7,-1,9.7,3,21c15.3,42,36.7,81.8,64,119.5c27.3,37.7,58,69.2,92,94.5z +M500 241 v40 H399408 v-40z M500 435 v40 H400000 v-40z`},sHt=function(s,u){switch(s){case"lbrack":return"M403 1759 V84 H666 V0 H319 V1759 v"+u+` v1759 h347 v-84 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v=p.tokens,b=this.consumeArgs(p.numArgs,p.delimiters);if(p.numArgs){v=v.slice();for(var y=v.length-1;y>=0;--y){var T=v[y];if(T.text==="#"){if(y===0)throw new Ci("Incomplete placeholder at end of macro body",T);if(T=v[--y],T.text==="#")v.splice(y+1,1);else if(/^[1-9]$/.test(T.text))v.splice(y,2,...b[+T.text-1]);else throw new Ci("Not a valid argument number",T)}}}return this.pushTokens(v),v.length}expandAfterFuture(){return this.expandOnce(),this.future()}expandNextToken(){for(;;)if(this.expandOnce()===!1){var s=this.stack.pop();return s.treatAsRelax&&(s.text="\\relax"),s}throw new Error}expandMacro(s){return this.macros.has(s)?this.expandTokens([new U4(s)]):void 0}expandTokens(s){var u=[],d=this.stack.length;for(this.pushTokens(s);this.stack.length>d;)if(this.expandOnce(!0)===!1){var p=this.stack.pop();p.treatAsRelax&&(p.noexpand=!1,p.treatAsRelax=!1),u.push(p)}return u}expandMacroAsText(s){var u=this.expandMacro(s);return u&&u.map(d=>d.text).join("")}_getExpansion(s){var u=this.macros.get(s);if(u==null)return u;if(s.length===1){var d=this.lexer.catcodes[s];if(d!=null&&d!==13)return}var p=typeof u=="function"?u(this):u;if(typeof p=="string"){var v=0;if(p.indexOf("#")!==-1)for(var b=p.replace(/##/g,"");b.indexOf("#"+(v+1))!==-1;)++v;for(var y=new hqe(p,this.settings),T=[],_=y.lex();_.text!=="EOF";)T.push(_),_=y.lex();T.reverse();var A={tokens:T,numArgs:v};return A}return p}isDefined(s){return this.macros.has(s)||L9.hasOwnProperty(s)||Ul.math.hasOwnProperty(s)||Ul.text.hasOwnProperty(s)||bqe.hasOwnProperty(s)}isExpandable(s){var u=this.macros.get(s);return u!=null?typeof u=="string"||typeof u=="function"||!u.unexpandable:L9.hasOwnProperty(s)&&!L9[s].primitive}}var mqe=/^[₊₋₌₍₎₀₁₂₃₄₅₆₇₈₉ₐₑₕᵢⱼₖₗₘₙₒₚᵣₛₜᵤᵥₓᵦᵧᵨᵩᵪ]/,TQ=Object.freeze({"₊":"+","₋":"-","₌":"=","₍":"(","₎":")","₀":"0","₁":"1","₂":"2","₃":"3","₄":"4","₅":"5","₆":"6","₇":"7","₈":"8","₉":"9","ₐ":"a","ₑ":"e","ₕ":"h","ᵢ":"i","ⱼ":"j","ₖ":"k","ₗ":"l","ₘ":"m","ₙ":"n","ₒ":"o","ₚ":"p","ᵣ":"r","ₛ":"s","ₜ":"t","ᵤ":"u","ᵥ":"v","ₓ":"x","ᵦ":"β","ᵧ":"γ","ᵨ":"ρ","ᵩ":"ϕ","ᵪ":"χ","⁺":"+","⁻":"-","⁼":"=","⁽":"(","⁾":")","⁰":"0","¹":"1","²":"2","³":"3","⁴":"4","⁵":"5","⁶":"6","⁷":"7","⁸":"8","⁹":"9","ᴬ":"A","ᴮ":"B","ᴰ":"D","ᴱ":"E","ᴳ":"G","ᴴ":"H","ᴵ":"I","ᴶ":"J","ᴷ":"K","ᴸ":"L","ᴹ":"M","ᴺ":"N","ᴼ":"O","ᴾ":"P","ᴿ":"R","ᵀ":"T","ᵁ":"U","ⱽ":"V","ᵂ":"W","ᵃ":"a","ᵇ":"b","ᶜ":"c","ᵈ":"d","ᵉ":"e","ᶠ":"f","ᵍ":"g",ʰ:"h","ⁱ":"i",ʲ:"j","ᵏ":"k",ˡ:"l","ᵐ":"m",ⁿ:"n","ᵒ":"o","ᵖ":"p",ʳ:"r",ˢ:"s","ᵗ":"t","ᵘ":"u","ᵛ":"v",ʷ:"w",ˣ:"x",ʸ:"y","ᶻ":"z","ᵝ":"β","ᵞ":"γ","ᵟ":"δ","ᵠ":"ϕ","ᵡ":"χ","ᶿ":"θ"}),Pbe={"́":{text:"\\'",math:"\\acute"},"̀":{text:"\\`",math:"\\grave"},"̈":{text:'\\"',math:"\\ddot"},"̃":{text:"\\~",math:"\\tilde"},"̄":{text:"\\=",math:"\\bar"},"̆":{text:"\\u",math:"\\breve"},"̌":{text:"\\v",math:"\\check"},"̂":{text:"\\^",math:"\\hat"},"̇":{text:"\\.",math:"\\dot"},"̊":{text:"\\r",math:"\\mathring"},"̋":{text:"\\H"},"̧":{text:"\\c"}},vqe={á:"á",à:"à",ä:"ä",ǟ:"ǟ",ã:"ã",ā:"ā",ă:"ă",ắ:"ắ",ằ:"ằ",ẵ:"ẵ",ǎ:"ǎ",â:"â",ấ:"ấ",ầ:"ầ",ẫ:"ẫ",ȧ:"ȧ",ǡ:"ǡ",å:"å",ǻ:"ǻ",ḃ:"ḃ",ć:"ć",ḉ:"ḉ",č:"č",ĉ:"ĉ",ċ:"ċ",ç:"ç",ď:"ď",ḋ:"ḋ",ḑ:"ḑ",é:"é",è:"è",ë:"ë",ẽ:"ẽ",ē:"ē",ḗ:"ḗ",ḕ:"ḕ",ĕ:"ĕ",ḝ:"ḝ",ě:"ě",ê:"ê",ế:"ế",ề:"ề",ễ:"ễ",ė:"ė",ȩ:"ȩ",ḟ:"ḟ",ǵ:"ǵ",ḡ:"ḡ",ğ:"ğ",ǧ:"ǧ",ĝ:"ĝ",ġ:"ġ",ģ:"ģ",ḧ:"ḧ",ȟ:"ȟ",ĥ:"ĥ",ḣ:"ḣ",ḩ:"ḩ",í:"í",ì:"ì",ï:"ï",ḯ:"ḯ",ĩ:"ĩ",ī:"ī",ĭ:"ĭ",ǐ:"ǐ",î:"î",ǰ:"ǰ",ĵ:"ĵ",ḱ:"ḱ",ǩ:"ǩ",ķ:"ķ",ĺ:"ĺ",ľ:"ľ",ļ:"ļ",ḿ:"ḿ",ṁ:"ṁ",ń:"ń",ǹ:"ǹ",ñ:"ñ",ň:"ň",ṅ:"ṅ",ņ:"ņ",ó:"ó",ò:"ò",ö:"ö",ȫ:"ȫ",õ:"õ",ṍ:"ṍ",ṏ:"ṏ",ȭ:"ȭ",ō:"ō",ṓ:"ṓ",ṑ:"ṑ",ŏ:"ŏ",ǒ:"ǒ",ô:"ô",ố:"ố",ồ:"ồ",ỗ:"ỗ",ȯ:"ȯ",ȱ:"ȱ",ő:"ő",ṕ:"ṕ",ṗ:"ṗ",ŕ:"ŕ",ř:"ř",ṙ:"ṙ",ŗ:"ŗ",ś:"ś",ṥ:"ṥ",š:"š",ṧ:"ṧ",ŝ:"ŝ",ṡ:"ṡ",ş:"ş",ẗ:"ẗ",ť:"ť",ṫ:"ṫ",ţ:"ţ",ú:"ú",ù:"ù",ü:"ü",ǘ:"ǘ",ǜ:"ǜ",ǖ:"ǖ",ǚ:"ǚ",ũ:"ũ",ṹ:"ṹ",ū:"ū",ṻ:"ṻ",ŭ:"ŭ",ǔ:"ǔ",û:"û",ů:"ů",ű:"ű",ṽ:"ṽ",ẃ:"ẃ",ẁ:"ẁ",ẅ:"ẅ",ŵ:"ŵ",ẇ:"ẇ",ẘ:"ẘ",ẍ:"ẍ",ẋ:"ẋ",ý:"ý",ỳ:"ỳ",ÿ:"ÿ",ỹ:"ỹ",ȳ:"ȳ",ŷ:"ŷ",ẏ:"ẏ",ẙ:"ẙ",ź:"ź",ž:"ž",ẑ:"ẑ",ż:"ż",Á:"Á",À:"À",Ä:"Ä",Ǟ:"Ǟ",Ã:"Ã",Ā:"Ā",Ă:"Ă",Ắ:"Ắ",Ằ:"Ằ",Ẵ:"Ẵ",Ǎ:"Ǎ",Â:"Â",Ấ:"Ấ",Ầ:"Ầ",Ẫ:"Ẫ",Ȧ:"Ȧ",Ǡ:"Ǡ",Å:"Å",Ǻ:"Ǻ",Ḃ:"Ḃ",Ć:"Ć",Ḉ:"Ḉ",Č:"Č",Ĉ:"Ĉ",Ċ:"Ċ",Ç:"Ç",Ď:"Ď",Ḋ:"Ḋ",Ḑ:"Ḑ",É:"É",È:"È",Ë:"Ë",Ẽ:"Ẽ",Ē:"Ē",Ḗ:"Ḗ",Ḕ:"Ḕ",Ĕ:"Ĕ",Ḝ:"Ḝ",Ě:"Ě",Ê:"Ê",Ế:"Ế",Ề:"Ề",Ễ:"Ễ",Ė:"Ė",Ȩ:"Ȩ",Ḟ:"Ḟ",Ǵ:"Ǵ",Ḡ:"Ḡ",Ğ:"Ğ",Ǧ:"Ǧ",Ĝ:"Ĝ",Ġ:"Ġ",Ģ:"Ģ",Ḧ:"Ḧ",Ȟ:"Ȟ",Ĥ:"Ĥ",Ḣ:"Ḣ",Ḩ:"Ḩ",Í:"Í",Ì:"Ì",Ï:"Ï",Ḯ:"Ḯ",Ĩ:"Ĩ",Ī:"Ī",Ĭ:"Ĭ",Ǐ:"Ǐ",Î:"Î",İ:"İ",Ĵ:"Ĵ",Ḱ:"Ḱ",Ǩ:"Ǩ",Ķ:"Ķ",Ĺ:"Ĺ",Ľ:"Ľ",Ļ:"Ļ",Ḿ:"Ḿ",Ṁ:"Ṁ",Ń:"Ń",Ǹ:"Ǹ",Ñ:"Ñ",Ň:"Ň",Ṅ:"Ṅ",Ņ:"Ņ",Ó:"Ó",Ò:"Ò",Ö:"Ö",Ȫ:"Ȫ",Õ:"Õ",Ṍ:"Ṍ",Ṏ:"Ṏ",Ȭ:"Ȭ",Ō:"Ō",Ṓ:"Ṓ",Ṑ:"Ṑ",Ŏ:"Ŏ",Ǒ:"Ǒ",Ô:"Ô",Ố:"Ố",Ồ:"Ồ",Ỗ:"Ỗ",Ȯ:"Ȯ",Ȱ:"Ȱ",Ő:"Ő",Ṕ:"Ṕ",Ṗ:"Ṗ",Ŕ:"Ŕ",Ř:"Ř",Ṙ:"Ṙ",Ŗ:"Ŗ",Ś:"Ś",Ṥ:"Ṥ",Š:"Š",Ṧ:"Ṧ",Ŝ:"Ŝ",Ṡ:"Ṡ",Ş:"Ş",Ť:"Ť",Ṫ:"Ṫ",Ţ:"Ţ",Ú:"Ú",Ù:"Ù",Ü:"Ü",Ǘ:"Ǘ",Ǜ:"Ǜ",Ǖ:"Ǖ",Ǚ:"Ǚ",Ũ:"Ũ",Ṹ:"Ṹ",Ū:"Ū",Ṻ:"Ṻ",Ŭ:"Ŭ",Ǔ:"Ǔ",Û:"Û",Ů:"Ů",Ű:"Ű",Ṽ:"Ṽ",Ẃ:"Ẃ",Ẁ:"Ẁ",Ẅ:"Ẅ",Ŵ:"Ŵ",Ẇ:"Ẇ",Ẍ:"Ẍ",Ẋ:"Ẋ",Ý:"Ý",Ỳ:"Ỳ",Ÿ:"Ÿ",Ỹ:"Ỹ",Ȳ:"Ȳ",Ŷ:"Ŷ",Ẏ:"Ẏ",Ź:"Ź",Ž:"Ž",Ẑ:"Ẑ",Ż:"Ż",ά:"ά",ὰ:"ὰ",ᾱ:"ᾱ",ᾰ:"ᾰ",έ:"έ",ὲ:"ὲ",ή:"ή",ὴ:"ὴ",ί:"ί",ὶ:"ὶ",ϊ:"ϊ",ΐ:"ΐ",ῒ:"ῒ",ῑ:"ῑ",ῐ:"ῐ",ό:"ό",ὸ:"ὸ",ύ:"ύ",ὺ:"ὺ",ϋ:"ϋ",ΰ:"ΰ",ῢ:"ῢ",ῡ:"ῡ",ῠ:"ῠ",ώ:"ώ",ὼ:"ὼ",Ύ:"Ύ",Ὺ:"Ὺ",Ϋ:"Ϋ",Ῡ:"Ῡ",Ῠ:"Ῠ",Ώ:"Ώ",Ὼ:"Ὼ"};class gR{constructor(s,u){this.mode=void 0,this.gullet=void 0,this.settings=void 0,this.leftrightDepth=void 0,this.nextToken=void 0,this.mode="math",this.gullet=new CVt(s,u,this.mode),this.settings=u,this.leftrightDepth=0}expect(s,u){if(u===void 0&&(u=!0),this.fetch().text!==s)throw new Ci("Expected '"+s+"', got '"+this.fetch().text+"'",this.fetch());u&&this.consume()}consume(){this.nextToken=null}fetch(){return this.nextToken==null&&(this.nextToken=this.gullet.expandNextToken()),this.nextToken}switchMode(s){this.mode=s,this.gullet.switchMode(s)}parse(){this.settings.globalGroup||this.gullet.beginGroup(),this.settings.colorIsTextColor&&this.gullet.macros.set("\\color","\\textcolor");try{var s=this.parseExpression(!1);return this.expect("EOF"),this.settings.globalGroup||this.gullet.endGroup(),s}finally{this.gullet.endGroups()}}subparse(s){var u=this.nextToken;this.consume(),this.gullet.pushToken(new U4("}")),this.gullet.pushTokens(s);var d=this.parseExpression(!1);return this.expect("}"),this.nextToken=u,d}parseExpression(s,u){for(var d=[];;){this.mode==="math"&&this.consumeSpaces();var p=this.fetch();if(gR.endOfExpression.indexOf(p.text)!==-1||u&&p.text===u||s&&L9[p.text]&&L9[p.text].infix)break;var v=this.parseAtom(u);if(v){if(v.type==="internal")continue}else break;d.push(v)}return this.mode==="text"&&this.formLigatures(d),this.handleInfixNodes(d)}handleInfixNodes(s){for(var u=-1,d,p=0;p=0&&this.settings.reportNonstrict("unicodeTextInMathMode",'Latin-1/Unicode text character "'+u[0]+'" used in math mode',s);var y=Ul[this.mode][u].group,T=lm.range(s),_;if(dHt.hasOwnProperty(y)){var A=y;_={type:"atom",mode:this.mode,family:A,loc:T,text:u}}else _={type:y,mode:this.mode,loc:T,text:u};b=_}else if(u.charCodeAt(0)>=128)this.settings.strict&&(K$e(u.charCodeAt(0))?this.mode==="math"&&this.settings.reportNonstrict("unicodeTextInMathMode",'Unicode text character "'+u[0]+'" used in math mode',s):this.settings.reportNonstrict("unknownSymbol",'Unrecognized Unicode character "'+u[0]+'"'+(" ("+u.charCodeAt(0)+")"),s)),b={type:"textord",mode:"text",loc:lm.range(s),text:u};else return null;if(this.consume(),v)for(var P=0;P"u"&&(_s.yylloc={});var j0=_s.yylloc;on.push(j0);var pm=_s.options&&_s.options.ranges;typeof tl.yy.parseError=="function"?this.parseError=tl.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;function Ml(){var kh;return kh=At.pop()||_s.lex()||Pa,typeof kh!="number"&&(kh instanceof Array&&(At=kh,kh=At.pop()),kh=qn.symbols_[kh]||kh),kh}for(var Xc,Bc,ja,Ou,Sa={},Po,Fc,xa,Ba;;){if(Bc=Un[Un.length-1],this.defaultActions[Bc]?ja=this.defaultActions[Bc]:((Xc===null||typeof Xc>"u")&&(Xc=Ml()),ja=fn[Bc]&&fn[Bc][Xc]),typeof ja>"u"||!ja.length||!ja[0]){var ga="";Ba=[];for(Po in fn[Bc])this.terminals_[Po]&&Po>$o&&Ba.push("'"+this.terminals_[Po]+"'");_s.showPosition?ga="Parse error on line "+(oo+1)+`: +`+_s.showPosition()+` +Expecting `+Ba.join(", ")+", got '"+(this.terminals_[Xc]||Xc)+"'":ga="Parse error on line "+(oo+1)+": Unexpected "+(Xc==Pa?"end of input":"'"+(this.terminals_[Xc]||Xc)+"'"),this.parseError(ga,{text:_s.match,token:this.terminals_[Xc]||Xc,line:_s.yylineno,loc:j0,expected:Ba})}if(ja[0]instanceof Array&&ja.length>1)throw new Error("Parse Error: multiple actions possible at state: "+Bc+", token: "+Xc);switch(ja[0]){case 1:Un.push(Xc),wt.push(_s.yytext),on.push(_s.yylloc),Un.push(ja[1]),Xc=null,jo=_s.yyleng,An=_s.yytext,oo=_s.yylineno,j0=_s.yylloc;break;case 2:if(Fc=this.productions_[ja[1]][1],Sa.$=wt[wt.length-Fc],Sa._$={first_line:on[on.length-(Fc||1)].first_line,last_line:on[on.length-1].last_line,first_column:on[on.length-(Fc||1)].first_column,last_column:on[on.length-1].last_column},pm&&(Sa._$.range=[on[on.length-(Fc||1)].range[0],on[on.length-1].range[1]]),Ou=this.performAction.apply(Sa,[An,jo,oo,tl.yy,ja[1],wt,on].concat(wo)),typeof Ou<"u")return Ou;Fc&&(Un=Un.slice(0,-1*Fc*2),wt=wt.slice(0,-1*Fc),on=on.slice(0,-1*Fc)),Un.push(this.productions_[ja[1]][0]),wt.push(Sa.$),on.push(Sa._$),xa=fn[Un[Un.length-2]][Un[Un.length-1]],Un.push(xa);break;case 3:return!0}}return!0}},zs=function(){var Tr={EOF:1,parseError:function(qn,Un){if(this.yy.parser)this.yy.parser.parseError(qn,Un);else throw new Error(qn)},setInput:function(Fn,qn){return this.yy=qn||this.yy||{},this._input=Fn,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var Fn=this._input[0];this.yytext+=Fn,this.yyleng++,this.offset++,this.match+=Fn,this.matched+=Fn;var qn=Fn.match(/(?:\r\n?|\n).*/g);return qn?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),Fn},unput:function(Fn){var qn=Fn.length,Un=Fn.split(/(?:\r\n?|\n)/g);this._input=Fn+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-qn),this.offset-=qn;var At=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),Un.length-1&&(this.yylineno-=Un.length-1);var wt=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:Un?(Un.length===At.length?this.yylloc.first_column:0)+At[At.length-Un.length].length-Un[0].length:this.yylloc.first_column-qn},this.options.ranges&&(this.yylloc.range=[wt[0],wt[0]+this.yyleng-qn]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){if(this.options.backtrack_lexer)this._backtrack=!0;else return this.parseError("Lexical error on line "+(this.yylineno+1)+`. You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true). +`+this.showPosition(),{text:"",token:null,line:this.yylineno});return this},less:function(Fn){this.unput(this.match.slice(Fn))},pastInput:function(){var Fn=this.matched.substr(0,this.matched.length-this.match.length);return(Fn.length>20?"...":"")+Fn.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var Fn=this.match;return Fn.length<20&&(Fn+=this._input.substr(0,20-Fn.length)),(Fn.substr(0,20)+(Fn.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var Fn=this.pastInput(),qn=new Array(Fn.length+1).join("-");return Fn+this.upcomingInput()+` +`+qn+"^"},test_match:function(Fn,qn){var Un,At,wt;if(this.options.backtrack_lexer&&(wt={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(wt.yylloc.range=this.yylloc.range.slice(0))),At=Fn[0].match(/(?:\r\n?|\n).*/g),At&&(this.yylineno+=At.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:At?At[At.length-1].length-At[At.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+Fn[0].length},this.yytext+=Fn[0],this.match+=Fn[0],this.matches=Fn,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(Fn[0].length),this.matched+=Fn[0],Un=this.performAction.call(this,this.yy,this,qn,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),Un)return Un;if(this._backtrack){for(var on in wt)this[on]=wt[on];return!1}return!1},next:function(){if(this.done)return this.EOF;this._input||(this.done=!0);var Fn,qn,Un,At;this._more||(this.yytext="",this.match="");for(var wt=this._currentRules(),on=0;onqn[0].length)){if(qn=Un,At=on,this.options.backtrack_lexer){if(Fn=this.test_match(Un,wt[on]),Fn!==!1)return Fn;if(this._backtrack){qn=!1;continue}else return!1}else if(!this.options.flex)break}return qn?(Fn=this.test_match(qn,wt[At]),Fn!==!1?Fn:!1):this._input===""?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+`. Unrecognized text. +`+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var qn=this.next();return qn||this.lex()},begin:function(qn){this.conditionStack.push(qn)},popState:function(){var qn=this.conditionStack.length-1;return qn>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(qn){return qn=this.conditionStack.length-1-Math.abs(qn||0),qn>=0?this.conditionStack[qn]:"INITIAL"},pushState:function(qn){this.begin(qn)},stateStackSize:function(){return this.conditionStack.length},options:{},performAction:function(qn,Un,At,wt){switch(At){case 0:return 6;case 1:return 7;case 2:return 8;case 3:return 9;case 4:return 22;case 5:return 23;case 6:return this.begin("acc_title"),24;case 7:return this.popState(),"acc_title_value";case 8:return this.begin("acc_descr"),26;case 9:return this.popState(),"acc_descr_value";case 10:this.begin("acc_descr_multiline");break;case 11:this.popState();break;case 12:return"acc_descr_multiline_value";case 13:break;case 14:c;break;case 15:return 12;case 16:break;case 17:return 11;case 18:return 15;case 19:return 16;case 20:return 17;case 21:return 18;case 22:return this.begin("person_ext"),45;case 23:return this.begin("person"),44;case 24:return this.begin("system_ext_queue"),51;case 25:return this.begin("system_ext_db"),50;case 26:return this.begin("system_ext"),49;case 27:return this.begin("system_queue"),48;case 28:return this.begin("system_db"),47;case 29:return this.begin("system"),46;case 30:return this.begin("boundary"),37;case 31:return this.begin("enterprise_boundary"),34;case 32:return this.begin("system_boundary"),36;case 33:return this.begin("container_ext_queue"),57;case 34:return this.begin("container_ext_db"),56;case 35:return this.begin("container_ext"),55;case 36:return this.begin("container_queue"),54;case 37:return this.begin("container_db"),53;case 38:return this.begin("container"),52;case 39:return this.begin("container_boundary"),38;case 40:return this.begin("component_ext_queue"),63;case 41:return this.begin("component_ext_db"),62;case 42:return this.begin("component_ext"),61;case 43:return this.begin("component_queue"),60;case 44:return this.begin("component_db"),59;case 45:return this.begin("component"),58;case 46:return this.begin("node"),39;case 47:return this.begin("node"),39;case 48:return this.begin("node_l"),40;case 49:return this.begin("node_r"),41;case 50:return this.begin("rel"),64;case 51:return this.begin("birel"),65;case 52:return this.begin("rel_u"),66;case 53:return this.begin("rel_u"),66;case 54:return this.begin("rel_d"),67;case 55:return this.begin("rel_d"),67;case 56:return this.begin("rel_l"),68;case 57:return this.begin("rel_l"),68;case 58:return this.begin("rel_r"),69;case 59:return this.begin("rel_r"),69;case 60:return this.begin("rel_b"),70;case 61:return this.begin("rel_index"),71;case 62:return this.begin("update_el_style"),72;case 63:return this.begin("update_rel_style"),73;case 64:return this.begin("update_layout_config"),74;case 65:return"EOF_IN_STRUCT";case 66:return this.begin("attribute"),"ATTRIBUTE_EMPTY";case 67:this.begin("attribute");break;case 68:this.popState(),this.popState();break;case 69:return 80;case 70:break;case 71:return 80;case 72:this.begin("string");break;case 73:this.popState();break;case 74:return"STR";case 75:this.begin("string_kv");break;case 76:return this.begin("string_kv_key"),"STR_KEY";case 77:this.popState(),this.begin("string_kv_value");break;case 78:return"STR_VALUE";case 79:this.popState(),this.popState();break;case 80:return"STR";case 81:return"LBRACE";case 82:return"RBRACE";case 83:return"SPACE";case 84:return"EOL";case 85:return 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Kt=Ot.length-1;switch(Nu){case 2:this.$=[];break;case 3:(!Array.isArray(Ot[Kt])||Ot[Kt].length>0)&&Ot[Kt-1].push(Ot[Kt]),this.$=Ot[Kt-1];break;case 4:case 176:this.$=Ot[Kt];break;case 11:Bi.setDirection("TB"),this.$="TB";break;case 12:Bi.setDirection(Ot[Kt-1]),this.$=Ot[Kt-1];break;case 27:this.$=Ot[Kt-1].nodes;break;case 28:case 29:case 30:case 31:case 32:this.$=[];break;case 33:this.$=Bi.addSubGraph(Ot[Kt-6],Ot[Kt-1],Ot[Kt-4]);break;case 34:this.$=Bi.addSubGraph(Ot[Kt-3],Ot[Kt-1],Ot[Kt-3]);break;case 35:this.$=Bi.addSubGraph(void 0,Ot[Kt-1],void 0);break;case 37:this.$=Ot[Kt].trim(),Bi.setAccTitle(this.$);break;case 38:case 39:this.$=Ot[Kt].trim(),Bi.setAccDescription(this.$);break;case 43:Bi.addLink(Ot[Kt-2].stmt,Ot[Kt],Ot[Kt-1]),this.$={stmt:Ot[Kt],nodes:Ot[Kt].concat(Ot[Kt-2].nodes)};break;case 44:Bi.addLink(Ot[Kt-3].stmt,Ot[Kt-1],Ot[Kt-2]),this.$={stmt:Ot[Kt-1],nodes:Ot[Kt-1].concat(Ot[Kt-3].nodes)};break;case 45:this.$={stmt:Ot[Kt-1],nodes:Ot[Kt-1]};break;case 46:this.$={stmt:Ot[Kt],nodes:Ot[Kt]};break;case 47:this.$=[Ot[Kt]];break;case 48:this.$=Ot[Kt-4].concat(Ot[Kt]);break;case 49:this.$=Ot[Kt];break;case 50:this.$=Ot[Kt-2],Bi.setClass(Ot[Kt-2],Ot[Kt]);break;case 51:this.$=Ot[Kt-3],Bi.addVertex(Ot[Kt-3],Ot[Kt-1],"square");break;case 52:this.$=Ot[Kt-3],Bi.addVertex(Ot[Kt-3],Ot[Kt-1],"doublecircle");break;case 53:this.$=Ot[Kt-5],Bi.addVertex(Ot[Kt-5],Ot[Kt-2],"circle");break;case 54:this.$=Ot[Kt-3],Bi.addVertex(Ot[Kt-3],Ot[Kt-1],"ellipse");break;case 55:this.$=Ot[Kt-3],Bi.addVertex(Ot[Kt-3],Ot[Kt-1],"stadium");break;case 56:this.$=Ot[Kt-3],Bi.addVertex(Ot[Kt-3],Ot[Kt-1],"subroutine");break;case 57:this.$=Ot[Kt-7],Bi.addVertex(Ot[Kt-7],Ot[Kt-1],"rect",void 0,void 0,void 0,Object.fromEntries([[Ot[Kt-5],Ot[Kt-3]]]));break;case 58:this.$=Ot[Kt-3],Bi.addVertex(Ot[Kt-3],Ot[Kt-1],"cylinder");break;case 59:this.$=Ot[Kt-3],Bi.addVertex(Ot[Kt-3],Ot[Kt-1],"round");break;case 60:this.$=Ot[Kt-3],Bi.addVertex(Ot[Kt-3],Ot[Kt-1],"diamond");break;case 61:this.$=Ot[Kt-5],Bi.addVertex(Ot[Kt-5],Ot[Kt-2],"hexagon");break;case 62:this.$=Ot[Kt-3],Bi.addVertex(Ot[Kt-3],Ot[Kt-1],"odd");break;case 63:this.$=Ot[Kt-3],Bi.addVertex(Ot[Kt-3],Ot[Kt-1],"trapezoid");break;case 64:this.$=Ot[Kt-3],Bi.addVertex(Ot[Kt-3],Ot[Kt-1],"inv_trapezoid");break;case 65:this.$=Ot[Kt-3],Bi.addVertex(Ot[Kt-3],Ot[Kt-1],"lean_right");break;case 66:this.$=Ot[Kt-3],Bi.addVertex(Ot[Kt-3],Ot[Kt-1],"lean_left");break;case 67:this.$=Ot[Kt],Bi.addVertex(Ot[Kt]);break;case 68:Ot[Kt-1].text=Ot[Kt],this.$=Ot[Kt-1];break;case 69:case 70:Ot[Kt-2].text=Ot[Kt-1],this.$=Ot[Kt-2];break;case 71:this.$=Ot[Kt];break;case 72:var z0=Bi.destructLink(Ot[Kt],Ot[Kt-2]);this.$={type:z0.type,stroke:z0.stroke,length:z0.length,text:Ot[Kt-1]};break;case 73:this.$={text:Ot[Kt],type:"text"};break;case 74:this.$={text:Ot[Kt-1].text+""+Ot[Kt],type:Ot[Kt-1].type};break;case 75:this.$={text:Ot[Kt],type:"string"};break;case 76:this.$={text:Ot[Kt],type:"markdown"};break;case 77:var z0=Bi.destructLink(Ot[Kt]);this.$={type:z0.type,stroke:z0.stroke,length:z0.length};break;case 78:this.$=Ot[Kt-1];break;case 79:this.$={text:Ot[Kt],type:"text"};break;case 80:this.$={text:Ot[Kt-1].text+""+Ot[Kt],type:Ot[Kt-1].type};break;case 81:this.$={text:Ot[Kt],type:"string"};break;case 82:case 97:this.$={text:Ot[Kt],type:"markdown"};break;case 94:this.$={text:Ot[Kt],type:"text"};break;case 95:this.$={text:Ot[Kt-1].text+""+Ot[Kt],type:Ot[Kt-1].type};break;case 96:this.$={text:Ot[Kt],type:"text"};break;case 98:this.$=Ot[Kt-4],Bi.addClass(Ot[Kt-2],Ot[Kt]);break;case 99:this.$=Ot[Kt-4],Bi.setClass(Ot[Kt-2],Ot[Kt]);break;case 100:case 108:this.$=Ot[Kt-1],Bi.setClickEvent(Ot[Kt-1],Ot[Kt]);break;case 101:case 109:this.$=Ot[Kt-3],Bi.setClickEvent(Ot[Kt-3],Ot[Kt-2]),Bi.setTooltip(Ot[Kt-3],Ot[Kt]);break;case 102:this.$=Ot[Kt-2],Bi.setClickEvent(Ot[Kt-2],Ot[Kt-1],Ot[Kt]);break;case 103:this.$=Ot[Kt-4],Bi.setClickEvent(Ot[Kt-4],Ot[Kt-3],Ot[Kt-2]),Bi.setTooltip(Ot[Kt-4],Ot[Kt]);break;case 104:this.$=Ot[Kt-2],Bi.setLink(Ot[Kt-2],Ot[Kt]);break;case 105:this.$=Ot[Kt-4],Bi.setLink(Ot[Kt-4],Ot[Kt-2]),Bi.setTooltip(Ot[Kt-4],Ot[Kt]);break;case 106:this.$=Ot[Kt-4],Bi.setLink(Ot[Kt-4],Ot[Kt-2],Ot[Kt]);break;case 107:this.$=Ot[Kt-6],Bi.setLink(Ot[Kt-6],Ot[Kt-4],Ot[Kt]),Bi.setTooltip(Ot[Kt-6],Ot[Kt-2]);break;case 110:this.$=Ot[Kt-1],Bi.setLink(Ot[Kt-1],Ot[Kt]);break;case 111:this.$=Ot[Kt-3],Bi.setLink(Ot[Kt-3],Ot[Kt-2]),Bi.setTooltip(Ot[Kt-3],Ot[Kt]);break;case 112:this.$=Ot[Kt-3],Bi.setLink(Ot[Kt-3],Ot[Kt-2],Ot[Kt]);break;case 113:this.$=Ot[Kt-5],Bi.setLink(Ot[Kt-5],Ot[Kt-4],Ot[Kt]),Bi.setTooltip(Ot[Kt-5],Ot[Kt-2]);break;case 114:this.$=Ot[Kt-4],Bi.addVertex(Ot[Kt-2],void 0,void 0,Ot[Kt]);break;case 115:this.$=Ot[Kt-4],Bi.updateLink([Ot[Kt-2]],Ot[Kt]);break;case 116:this.$=Ot[Kt-4],Bi.updateLink(Ot[Kt-2],Ot[Kt]);break;case 117:this.$=Ot[Kt-8],Bi.updateLinkInterpolate([Ot[Kt-6]],Ot[Kt-2]),Bi.updateLink([Ot[Kt-6]],Ot[Kt]);break;case 118:this.$=Ot[Kt-8],Bi.updateLinkInterpolate(Ot[Kt-6],Ot[Kt-2]),Bi.updateLink(Ot[Kt-6],Ot[Kt]);break;case 119:this.$=Ot[Kt-6],Bi.updateLinkInterpolate([Ot[Kt-4]],Ot[Kt]);break;case 120:this.$=Ot[Kt-6],Bi.updateLinkInterpolate(Ot[Kt-4],Ot[Kt]);break;case 121:case 123:this.$=[Ot[Kt]];break;case 122:case 124:Ot[Kt-2].push(Ot[Kt]),this.$=Ot[Kt-2];break;case 126:this.$=Ot[Kt-1]+Ot[Kt];break;case 174:this.$=Ot[Kt];break;case 175:this.$=Ot[Kt-1]+""+Ot[Kt];break;case 177:this.$=Ot[Kt-1]+""+Ot[Kt];break;case 178:this.$={stmt:"dir",value:"TB"};break;case 179:this.$={stmt:"dir",value:"BT"};break;case 180:this.$={stmt:"dir",value:"RL"};break;case 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Qa=new Error(Wi);throw Qa.hash=Bs,Qa}},parse:function(Wi){var Bs=this,Qa=[0],Bi=[],Nu=[null],Ot=[],W3=this.table,Kt="",z0=0,Bp=0,Y3=2,$9=1,c5=Ot.slice.call(arguments,1),Eh=Object.create(this.lexer),zg={yy:{}};for(var bm in this.yy)Object.prototype.hasOwnProperty.call(this.yy,bm)&&(zg.yy[bm]=this.yy[bm]);Eh.setInput(Wi,zg.yy),zg.yy.lexer=Eh,zg.yy.parser=this,typeof Eh.yylloc>"u"&&(Eh.yylloc={});var z9=Eh.yylloc;Ot.push(z9);var mm=Eh.options&&Eh.options.ranges;typeof zg.yy.parseError=="function"?this.parseError=zg.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;function u5(){var Fp;return Fp=Bi.pop()||Eh.lex()||$9,typeof Fp!="number"&&(Fp instanceof Array&&(Bi=Fp,Fp=Bi.pop()),Fp=Bs.symbols_[Fp]||Fp),Fp}for(var y1,ud,ld,q9,Vv={},Y7,G2,X7,l5;;){if(ud=Qa[Qa.length-1],this.defaultActions[ud]?ld=this.defaultActions[ud]:((y1===null||typeof y1>"u")&&(y1=u5()),ld=W3[ud]&&W3[ud][y1]),typeof ld>"u"||!ld.length||!ld[0]){var X3="";l5=[];for(Y7 in W3[ud])this.terminals_[Y7]&&Y7>Y3&&l5.push("'"+this.terminals_[Y7]+"'");Eh.showPosition?X3="Parse error on line "+(z0+1)+`: +`+Eh.showPosition()+` +Expecting `+l5.join(", ")+", got '"+(this.terminals_[y1]||y1)+"'":X3="Parse error on line "+(z0+1)+": Unexpected "+(y1==$9?"end of input":"'"+(this.terminals_[y1]||y1)+"'"),this.parseError(X3,{text:Eh.match,token:this.terminals_[y1]||y1,line:Eh.yylineno,loc:z9,expected:l5})}if(ld[0]instanceof Array&&ld.length>1)throw new Error("Parse Error: multiple actions possible at state: "+ud+", token: "+y1);switch(ld[0]){case 1:Qa.push(y1),Nu.push(Eh.yytext),Ot.push(Eh.yylloc),Qa.push(ld[1]),y1=null,Bp=Eh.yyleng,Kt=Eh.yytext,z0=Eh.yylineno,z9=Eh.yylloc;break;case 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this.yy=Bs||this.yy||{},this._input=Wi,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var Wi=this._input[0];this.yytext+=Wi,this.yyleng++,this.offset++,this.match+=Wi,this.matched+=Wi;var Bs=Wi.match(/(?:\r\n?|\n).*/g);return Bs?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),Wi},unput:function(Wi){var Bs=Wi.length,Qa=Wi.split(/(?:\r\n?|\n)/g);this._input=Wi+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-Bs),this.offset-=Bs;var Bi=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),Qa.length-1&&(this.yylineno-=Qa.length-1);var Nu=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:Qa?(Qa.length===Bi.length?this.yylloc.first_column:0)+Bi[Bi.length-Qa.length].length-Qa[0].length:this.yylloc.first_column-Bs},this.options.ranges&&(this.yylloc.range=[Nu[0],Nu[0]+this.yyleng-Bs]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){if(this.options.backtrack_lexer)this._backtrack=!0;else return this.parseError("Lexical error on line "+(this.yylineno+1)+`. You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true). +`+this.showPosition(),{text:"",token:null,line:this.yylineno});return this},less:function(Wi){this.unput(this.match.slice(Wi))},pastInput:function(){var Wi=this.matched.substr(0,this.matched.length-this.match.length);return(Wi.length>20?"...":"")+Wi.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var Wi=this.match;return Wi.length<20&&(Wi+=this._input.substr(0,20-Wi.length)),(Wi.substr(0,20)+(Wi.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var Wi=this.pastInput(),Bs=new Array(Wi.length+1).join("-");return Wi+this.upcomingInput()+` +`+Bs+"^"},test_match:function(Wi,Bs){var Qa,Bi,Nu;if(this.options.backtrack_lexer&&(Nu={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(Nu.yylloc.range=this.yylloc.range.slice(0))),Bi=Wi[0].match(/(?:\r\n?|\n).*/g),Bi&&(this.yylineno+=Bi.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:Bi?Bi[Bi.length-1].length-Bi[Bi.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+Wi[0].length},this.yytext+=Wi[0],this.match+=Wi[0],this.matches=Wi,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(Wi[0].length),this.matched+=Wi[0],Qa=this.performAction.call(this,this.yy,this,Bs,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),Qa)return Qa;if(this._backtrack){for(var Ot in Nu)this[Ot]=Nu[Ot];return!1}return!1},next:function(){if(this.done)return this.EOF;this._input||(this.done=!0);var Wi,Bs,Qa,Bi;this._more||(this.yytext="",this.match="");for(var Nu=this._currentRules(),Ot=0;OtBs[0].length)){if(Bs=Qa,Bi=Ot,this.options.backtrack_lexer){if(Wi=this.test_match(Qa,Nu[Ot]),Wi!==!1)return Wi;if(this._backtrack){Bs=!1;continue}else return!1}else if(!this.options.flex)break}return Bs?(Wi=this.test_match(Bs,Nu[Bi]),Wi!==!1?Wi:!1):this._input===""?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+`. Unrecognized text. +`+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var Bs=this.next();return Bs||this.lex()},begin:function(Bs){this.conditionStack.push(Bs)},popState:function(){var Bs=this.conditionStack.length-1;return Bs>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(Bs){return Bs=this.conditionStack.length-1-Math.abs(Bs||0),Bs>=0?this.conditionStack[Bs]:"INITIAL"},pushState:function(Bs){this.begin(Bs)},stateStackSize:function(){return this.conditionStack.length},options:{},performAction:function(Bs,Qa,Bi,Nu){switch(Bi){case 0:return this.begin("acc_title"),34;case 1:return this.popState(),"acc_title_value";case 2:return this.begin("acc_descr"),36;case 3:return this.popState(),"acc_descr_value";case 4:this.begin("acc_descr_multiline");break;case 5:this.popState();break;case 6:return"acc_descr_multiline_value";case 7:this.begin("callbackname");break;case 8:this.popState();break;case 9:this.popState(),this.begin("callbackargs");break;case 10:return 92;case 11:this.popState();break;case 12:return 93;case 13:return"MD_STR";case 14:this.popState();break;case 15:this.begin("md_string");break;case 16:return"STR";case 17:this.popState();break;case 18:this.pushState("string");break;case 19:return 81;case 20:return 99;case 21:return 82;case 22:return 101;case 23:return 83;case 24:return 84;case 25:return 94;case 26:this.begin("click");break;case 27:this.popState();break;case 28:return 85;case 29:return Bs.lex.firstGraph()&&this.begin("dir"),12;case 30:return Bs.lex.firstGraph()&&this.begin("dir"),12;case 31:return Bs.lex.firstGraph()&&this.begin("dir"),12;case 32:return 27;case 33:return 32;case 34:return 95;case 35:return 95;case 36:return 95;case 37:return 95;case 38:return this.popState(),13;case 39:return this.popState(),14;case 40:return this.popState(),14;case 41:return this.popState(),14;case 42:return this.popState(),14;case 43:return this.popState(),14;case 44:return this.popState(),14;case 45:return this.popState(),14;case 46:return this.popState(),14;case 47:return this.popState(),14;case 48:return this.popState(),14;case 49:return 118;case 50:return 119;case 51:return 120;case 52:return 121;case 53:return 102;case 54:return 108;case 55:return 44;case 56:return 58;case 57:return 42;case 58:return 8;case 59:return 103;case 60:return 112;case 61:return this.popState(),75;case 62:return this.pushState("edgeText"),73;case 63:return 116;case 64:return this.popState(),75;case 65:return this.pushState("thickEdgeText"),73;case 66:return 116;case 67:return this.popState(),75;case 68:return this.pushState("dottedEdgeText"),73;case 69:return 116;case 70:return 75;case 71:return this.popState(),51;case 72:return"TEXT";case 73:return this.pushState("ellipseText"),50;case 74:return this.popState(),53;case 75:return this.pushState("text"),52;case 76:return this.popState(),55;case 77:return this.pushState("text"),54;case 78:return 56;case 79:return this.pushState("text"),65;case 80:return this.popState(),62;case 81:return this.pushState("text"),61;case 82:return this.popState(),47;case 83:return this.pushState("text"),46;case 84:return this.popState(),67;case 85:return this.popState(),69;case 86:return 114;case 87:return this.pushState("trapText"),66;case 88:return this.pushState("trapText"),68;case 89:return 115;case 90:return 65;case 91:return 87;case 92:return"SEP";case 93:return 86;case 94:return 112;case 95:return 108;case 96:return 42;case 97:return 106;case 98:return 111;case 99:return 113;case 100:return this.popState(),60;case 101:return this.pushState("text"),60;case 102:return this.popState(),49;case 103:return this.pushState("text"),48;case 104:return this.popState(),31;case 105:return this.pushState("text"),29;case 106:return this.popState(),64;case 107:return this.pushState("text"),63;case 108:return"TEXT";case 109:return"QUOTE";case 110:return 9;case 111:return 10;case 112:return 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4:this.begin("acc_descr_multiline");break;case 5:this.popState();break;case 6:return"acc_descr_multiline_value";case 7:return 10;case 8:break;case 9:return 8;case 10:return 28;case 11:return 48;case 12:return 4;case 13:return this.begin("block"),15;case 14:return 36;case 15:break;case 16:return 37;case 17:return 34;case 18:return 34;case 19:return 38;case 20:break;case 21:return this.popState(),17;case 22:return W.yytext[0];case 23:return 18;case 24:return 19;case 25:return 41;case 26:return 43;case 27:return 43;case 28:return 43;case 29:return 41;case 30:return 41;case 31:return 42;case 32:return 42;case 33:return 42;case 34:return 42;case 35:return 42;case 36:return 43;case 37:return 42;case 38:return 43;case 39:return 44;case 40:return 44;case 41:return 44;case 42:return 44;case 43:return 41;case 44:return 42;case 45:return 43;case 46:return 45;case 47:return 46;case 48:return 47;case 49:return 47;case 50:return 46;case 51:return 46;case 52:return 46;case 53:return 27;case 54:return W.yytext[0];case 55:return 6}},rules:[/^(?:accTitle\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*\{\s*)/i,/^(?:[\}])/i,/^(?:[^\}]*)/i,/^(?:[\n]+)/i,/^(?:\s+)/i,/^(?:[\s]+)/i,/^(?:"[^"%\r\n\v\b\\]+")/i,/^(?:"[^"]*")/i,/^(?:erDiagram\b)/i,/^(?:\{)/i,/^(?:,)/i,/^(?:\s+)/i,/^(?:\b((?:PK)|(?:FK)|(?:UK))\b)/i,/^(?:(.*?)[~](.*?)*[~])/i,/^(?:[\*A-Za-z_][A-Za-z0-9\-_\[\]\(\)]*)/i,/^(?:"[^"]*")/i,/^(?:[\n]+)/i,/^(?:\})/i,/^(?:.)/i,/^(?:\[)/i,/^(?:\])/i,/^(?:one or zero\b)/i,/^(?:one or more\b)/i,/^(?:one or many\b)/i,/^(?:1\+)/i,/^(?:\|o\b)/i,/^(?:zero or one\b)/i,/^(?:zero or more\b)/i,/^(?:zero or many\b)/i,/^(?:0\+)/i,/^(?:\}o\b)/i,/^(?:many\(0\))/i,/^(?:many\(1\))/i,/^(?:many\b)/i,/^(?:\}\|)/i,/^(?:one\b)/i,/^(?:only one\b)/i,/^(?:1\b)/i,/^(?:\|\|)/i,/^(?:o\|)/i,/^(?:o\{)/i,/^(?:\|\{)/i,/^(?:\s*u\b)/i,/^(?:\.\.)/i,/^(?:--)/i,/^(?:to\b)/i,/^(?:optionally to\b)/i,/^(?:\.-)/i,/^(?:-\.)/i,/^(?:[A-Za-z_][A-Za-z0-9\-_]*)/i,/^(?:.)/i,/^(?:$)/i],conditions:{acc_descr_multiline:{rules:[5,6],inclusive:!1},acc_descr:{rules:[3],inclusive:!1},acc_title:{rules:[1],inclusive:!1},block:{rules:[14,15,16,17,18,19,20,21,22],inclusive:!1},INITIAL:{rules:[0,2,4,7,8,9,10,11,12,13,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55],inclusive:!0}}};return de}();ae.lexer=ne;function se(){this.yy={}}return se.prototype=ae,ae.Parser=se,new se}();Vme.parser=Vme;const Len=Vme;let B9={},Ume=[];const Men={ZERO_OR_ONE:"ZERO_OR_ONE",ZERO_OR_MORE:"ZERO_OR_MORE",ONE_OR_MORE:"ONE_OR_MORE",ONLY_ONE:"ONLY_ONE",MD_PARENT:"MD_PARENT"},Den={NON_IDENTIFYING:"NON_IDENTIFYING",IDENTIFYING:"IDENTIFYING"},RUe=function(i,s=void 0){return B9[i]===void 0?(B9[i]={attributes:[],alias:s},Xe.info("Added new entity :",i)):B9[i]&&!B9[i].alias&&s&&(B9[i].alias=s,Xe.info(`Add alias '${s}' to entity 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de=new Error(ne);throw de.hash=se,de}},parse:function(ne){var se=this,de=[0],X=[],ge=[null],W=[],xe=this.table,U="",Fe=0,Pe=0,je=2,Ie=1,Se=W.slice.call(arguments,1),Ce=Object.create(this.lexer),ke={yy:{}};for(var Ke in this.yy)Object.prototype.hasOwnProperty.call(this.yy,Ke)&&(ke.yy[Ke]=this.yy[Ke]);Ce.setInput(ne,ke.yy),ke.yy.lexer=Ce,ke.yy.parser=this,typeof Ce.yylloc>"u"&&(Ce.yylloc={});var Ft=Ce.yylloc;W.push(Ft);var Ne=Ce.options&&Ce.options.ranges;typeof ke.yy.parseError=="function"?this.parseError=ke.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;function gn(){var ht;return ht=X.pop()||Ce.lex()||Ie,typeof ht!="number"&&(ht instanceof Array&&(X=ht,ht=X.pop()),ht=se.symbols_[ht]||ht),ht}for(var _t,Et,Gt,ln,xt={},Pt,Qe,Dt,kt;;){if(Et=de[de.length-1],this.defaultActions[Et]?Gt=this.defaultActions[Et]:((_t===null||typeof _t>"u")&&(_t=gn()),Gt=xe[Et]&&xe[Et][_t]),typeof Gt>"u"||!Gt.length||!Gt[0]){var On="";kt=[];for(Pt in 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this.yy=se||this.yy||{},this._input=ne,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var ne=this._input[0];this.yytext+=ne,this.yyleng++,this.offset++,this.match+=ne,this.matched+=ne;var se=ne.match(/(?:\r\n?|\n).*/g);return se?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),ne},unput:function(ne){var se=ne.length,de=ne.split(/(?:\r\n?|\n)/g);this._input=ne+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-se),this.offset-=se;var X=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),de.length-1&&(this.yylineno-=de.length-1);var ge=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:de?(de.length===X.length?this.yylloc.first_column:0)+X[X.length-de.length].length-de[0].length:this.yylloc.first_column-se},this.options.ranges&&(this.yylloc.range=[ge[0],ge[0]+this.yyleng-se]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){if(this.options.backtrack_lexer)this._backtrack=!0;else return this.parseError("Lexical error on line "+(this.yylineno+1)+`. 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Unrecognized text. +`+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var U=this.next();return U||this.lex()},begin:function(U){this.conditionStack.push(U)},popState:function(){var U=this.conditionStack.length-1;return U>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(U){return U=this.conditionStack.length-1-Math.abs(U||0),U>=0?this.conditionStack[U]:"INITIAL"},pushState:function(U){this.begin(U)},stateStackSize:function(){return this.conditionStack.length},options:{"case-insensitive":!0},performAction:function(U,Fe,Pe,je){switch(Pe){case 0:return this.begin("open_directive"),"open_directive";case 1:return this.begin("acc_title"),28;case 2:return this.popState(),"acc_title_value";case 3:return this.begin("acc_descr"),30;case 4:return this.popState(),"acc_descr_value";case 5:this.begin("acc_descr_multiline");break;case 6:this.popState();break;case 7:return"acc_descr_multiline_value";case 8:break;case 9:break;case 10:break;case 11:return 10;case 12:break;case 13:break;case 14:this.begin("href");break;case 15:this.popState();break;case 16:return 40;case 17:this.begin("callbackname");break;case 18:this.popState();break;case 19:this.popState(),this.begin("callbackargs");break;case 20:return 38;case 21:this.popState();break;case 22:return 39;case 23:this.begin("click");break;case 24:this.popState();break;case 25:return 37;case 26:return 4;case 27:return 19;case 28:return 20;case 29:return 21;case 30:return 22;case 31:return 23;case 32:return 25;case 33:return 24;case 34:return 26;case 35:return 12;case 36:return 13;case 37:return 14;case 38:return 15;case 39:return 16;case 40:return 17;case 41:return 18;case 42:return"date";case 43:return 27;case 44:return"accDescription";case 45:return 33;case 46:return 35;case 47:return 36;case 48:return":";case 49:return 6;case 50:return"INVALID"}},rules:[/^(?:%%\{)/i,/^(?:accTitle\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*\{\s*)/i,/^(?:[\}])/i,/^(?:[^\}]*)/i,/^(?:%%(?!\{)*[^\n]*)/i,/^(?:[^\}]%%*[^\n]*)/i,/^(?:%%*[^\n]*[\n]*)/i,/^(?:[\n]+)/i,/^(?:\s+)/i,/^(?:%[^\n]*)/i,/^(?:href[\s]+["])/i,/^(?:["])/i,/^(?:[^"]*)/i,/^(?:call[\s]+)/i,/^(?:\([\s]*\))/i,/^(?:\()/i,/^(?:[^(]*)/i,/^(?:\))/i,/^(?:[^)]*)/i,/^(?:click[\s]+)/i,/^(?:[\s\n])/i,/^(?:[^\s\n]*)/i,/^(?:gantt\b)/i,/^(?:dateFormat\s[^#\n;]+)/i,/^(?:inclusiveEndDates\b)/i,/^(?:topAxis\b)/i,/^(?:axisFormat\s[^#\n;]+)/i,/^(?:tickInterval\s[^#\n;]+)/i,/^(?:includes\s[^#\n;]+)/i,/^(?:excludes\s[^#\n;]+)/i,/^(?:todayMarker\s[^\n;]+)/i,/^(?:weekday\s+monday\b)/i,/^(?:weekday\s+tuesday\b)/i,/^(?:weekday\s+wednesday\b)/i,/^(?:weekday\s+thursday\b)/i,/^(?:weekday\s+friday\b)/i,/^(?:weekday\s+saturday\b)/i,/^(?:weekday\s+sunday\b)/i,/^(?:\d\d\d\d-\d\d-\d\d\b)/i,/^(?:title\s[^\n]+)/i,/^(?:accDescription\s[^#\n;]+)/i,/^(?:section\s[^\n]+)/i,/^(?:[^:\n]+)/i,/^(?::[^#\n;]+)/i,/^(?::)/i,/^(?:$)/i,/^(?:.)/i],conditions:{acc_descr_multiline:{rules:[6,7],inclusive:!1},acc_descr:{rules:[4],inclusive:!1},acc_title:{rules:[2],inclusive:!1},callbackargs:{rules:[21,22],inclusive:!1},callbackname:{rules:[18,19,20],inclusive:!1},href:{rules:[15,16],inclusive:!1},click:{rules:[24,25],inclusive:!1},INITIAL:{rules:[0,1,3,5,8,9,10,11,12,13,14,17,23,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],inclusive:!0}}};return W}();de.lexer=X;function ge(){this.yy={}}return ge.prototype=de,de.Parser=ge,new ge}();Yme.parser=Yme;const _tn=Yme;var XUe={exports:{}};(function(i,s){(function(u,d){i.exports=d()})(Ag,function(){var u="day";return function(d,p,v){var b=function(_){return _.add(4-_.isoWeekday(),u)},y=p.prototype;y.isoWeekYear=function(){return b(this).year()},y.isoWeek=function(_){if(!this.$utils().u(_))return this.add(7*(_-this.isoWeek()),u);var A,P,R,F,j=b(this),K=(A=this.isoWeekYear(),P=this.$u,R=(P?v.utc:v)().year(A).startOf("year"),F=4-R.isoWeekday(),R.isoWeekday()>4&&(F+=7),R.add(F,u));return j.diff(K,"week")+1},y.isoWeekday=function(_){return this.$utils().u(_)?this.day()||7:this.day(this.day()%7?_:_-7)};var T=y.startOf;y.startOf=function(_,A){var P=this.$utils(),R=!!P.u(A)||A;return P.p(_)==="isoweek"?R?this.date(this.date()-(this.isoWeekday()-1)).startOf("day"):this.date(this.date()-1-(this.isoWeekday()-1)+7).endOf("day"):T.bind(this)(_,A)}}})})(XUe);var Atn=XUe.exports;const Ltn=hC(Atn);var QUe={exports:{}};(function(i,s){(function(u,d){i.exports=d()})(Ag,function(){var u={LTS:"h:mm:ss A",LT:"h:mm A",L:"MM/DD/YYYY",LL:"MMMM D, YYYY",LLL:"MMMM D, YYYY h:mm A",LLLL:"dddd, MMMM D, YYYY h:mm A"},d=/(\[[^[]*\])|([-_:/.,()\s]+)|(A|a|YYYY|YY?|MM?M?M?|Do|DD?|hh?|HH?|mm?|ss?|S{1,3}|z|ZZ?)/g,p=/\d\d/,v=/\d\d?/,b=/\d*[^-_:/,()\s\d]+/,y={},T=function(K){return(K=+K)+(K>68?1900:2e3)},_=function(K){return function(ee){this[K]=+ee}},A=[/[+-]\d\d:?(\d\d)?|Z/,function(K){(this.zone||(this.zone={})).offset=function(ee){if(!ee||ee==="Z")return 0;var ie=ee.match(/([+-]|\d\d)/g),oe=60*ie[1]+(+ie[2]||0);return oe===0?0:ie[0]==="+"?-oe:oe}(K)}],P=function(K){var ee=y[K];return ee&&(ee.indexOf?ee:ee.s.concat(ee.f))},R=function(K,ee){var ie,oe=y.meridiem;if(oe){for(var pe=1;pe<=24;pe+=1)if(K.indexOf(oe(pe,0,ee))>-1){ie=pe>12;break}}else ie=K===(ee?"pm":"PM");return ie},F={A:[b,function(K){this.afternoon=R(K,!1)}],a:[b,function(K){this.afternoon=R(K,!0)}],S:[/\d/,function(K){this.milliseconds=100*+K}],SS:[p,function(K){this.milliseconds=10*+K}],SSS:[/\d{3}/,function(K){this.milliseconds=+K}],s:[v,_("seconds")],ss:[v,_("seconds")],m:[v,_("minutes")],mm:[v,_("minutes")],H:[v,_("hours")],h:[v,_("hours")],HH:[v,_("hours")],hh:[v,_("hours")],D:[v,_("day")],DD:[p,_("day")],Do:[b,function(K){var ee=y.ordinal,ie=K.match(/\d+/);if(this.day=ie[0],ee)for(var oe=1;oe<=31;oe+=1)ee(oe).replace(/\[|\]/g,"")===K&&(this.day=oe)}],M:[v,_("month")],MM:[p,_("month")],MMM:[b,function(K){var ee=P("months"),ie=(P("monthsShort")||ee.map(function(oe){return oe.slice(0,3)})).indexOf(K)+1;if(ie<1)throw new Error;this.month=ie%12||ie}],MMMM:[b,function(K){var ee=P("months").indexOf(K)+1;if(ee<1)throw new Error;this.month=ee%12||ee}],Y:[/[+-]?\d+/,_("year")],YY:[p,function(K){this.year=T(K)}],YYYY:[/\d{4}/,_("year")],Z:A,ZZ:A};function j(K){var ee,ie;ee=K,ie=y&&y.formats;for(var oe=(K=ee.replace(/(\[[^\]]+])|(LTS?|l{1,4}|L{1,4})/g,function(X,ge,W){var xe=W&&W.toUpperCase();return ge||ie[W]||u[W]||ie[xe].replace(/(\[[^\]]+])|(MMMM|MM|DD|dddd)/g,function(U,Fe,Pe){return Fe||Pe.slice(1)})})).match(d),pe=oe.length,be=0;be-1)return new Date((Ie==="X"?1e3:1)*je);var Ce=j(Ie)(je),ke=Ce.year,Ke=Ce.month,Ft=Ce.day,Ne=Ce.hours,gn=Ce.minutes,_t=Ce.seconds,Et=Ce.milliseconds,Gt=Ce.zone,ln=new Date,xt=Ft||(ke||Ke?1:ln.getDate()),Pt=ke||ln.getFullYear(),Qe=0;ke&&!Ke||(Qe=Ke>0?Ke-1:ln.getMonth());var Dt=Ne||0,kt=gn||0,On=_t||0,ht=Et||0;return Gt?new Date(Date.UTC(Pt,Qe,xt,Dt,kt,On,ht+60*Gt.offset*1e3)):Se?new Date(Date.UTC(Pt,Qe,xt,Dt,kt,On,ht)):new Date(Pt,Qe,xt,Dt,kt,On,ht)}catch{return new Date("")}}(ae,de,ne),this.init(),xe&&xe!==!0&&(this.$L=this.locale(xe).$L),W&&ae!=this.format(de)&&(this.$d=new Date("")),y={}}else if(de instanceof Array)for(var U=de.length,Fe=1;Fe<=U;Fe+=1){se[1]=de[Fe-1];var Pe=ie.apply(this,se);if(Pe.isValid()){this.$d=Pe.$d,this.$L=Pe.$L,this.init();break}Fe===U&&(this.$d=new Date(""))}else pe.call(this,be)}}})})(QUe);var Mtn=QUe.exports;const Dtn=hC(Mtn);var JUe={exports:{}};(function(i,s){(function(u,d){i.exports=d()})(Ag,function(){return function(u,d){var p=d.prototype,v=p.format;p.format=function(b){var y=this,T=this.$locale();if(!this.isValid())return v.bind(this)(b);var _=this.$utils(),A=(b||"YYYY-MM-DDTHH:mm:ssZ").replace(/\[([^\]]+)]|Q|wo|ww|w|WW|W|zzz|z|gggg|GGGG|Do|X|x|k{1,2}|S/g,function(P){switch(P){case"Q":return Math.ceil((y.$M+1)/3);case"Do":return T.ordinal(y.$D);case"gggg":return y.weekYear();case"GGGG":return y.isoWeekYear();case"wo":return T.ordinal(y.week(),"W");case"w":case"ww":return _.s(y.week(),P==="w"?1:2,"0");case"W":case"WW":return _.s(y.isoWeek(),P==="W"?1:2,"0");case"k":case"kk":return _.s(String(y.$H===0?24:y.$H),P==="k"?1:2,"0");case"X":return Math.floor(y.$d.getTime()/1e3);case"x":return y.$d.getTime();case"z":return"["+y.offsetName()+"]";case"zzz":return"["+y.offsetName("long")+"]";default:return P}});return v.bind(this)(A)}}})})(JUe);var Itn=JUe.exports;const Otn=hC(Itn);Lg.extend(Ltn),Lg.extend(Dtn),Lg.extend(Otn);let i5="",Xme="",Qme,Jme="",FR=[],RR=[],Zme={},eve=[],uJ=[],GD="",tve="";const ZUe=["active","done","crit","milestone"];let nve=[],jR=!1,rve=!1,ive="sunday",sve=0;const Ntn=function(){eve=[],uJ=[],GD="",nve=[],lJ=0,ove=void 0,hJ=void 0,m1=[],i5="",Xme="",tve="",Qme=void 0,Jme="",FR=[],RR=[],jR=!1,rve=!1,sve=0,Zme={},Pg(),ive="sunday"},Ptn=function(i){Xme=i},Btn=function(){return Xme},Ftn=function(i){Qme=i},Rtn=function(){return Qme},jtn=function(i){Jme=i},$tn=function(){return Jme},ztn=function(i){i5=i},qtn=function(){jR=!0},Htn=function(){return jR},Vtn=function(){rve=!0},Utn=function(){return rve},Gtn=function(i){tve=i},Ktn=function(){return tve},Wtn=function(){return i5},Ytn=function(i){FR=i.toLowerCase().split(/[\s,]+/)},Xtn=function(){return FR},Qtn=function(i){RR=i.toLowerCase().split(/[\s,]+/)},Jtn=function(){return RR},Ztn=function(){return Zme},enn=function(i){GD=i,eve.push(i)},tnn=function(){return eve},nnn=function(){let i=sGe();const s=10;let u=0;for(;!i&&u=6&&u.includes("weekends")||u.includes(i.format("dddd").toLowerCase())?!0:u.includes(i.format(s.trim()))},rnn=function(i){ive=i},inn=function(){return ive},tGe=function(i,s,u,d){if(!u.length||i.manualEndTime)return;let p;i.startTime instanceof Date?p=Lg(i.startTime):p=Lg(i.startTime,s,!0),p=p.add(1,"d");let v;i.endTime instanceof Date?v=Lg(i.endTime):v=Lg(i.endTime,s,!0);const[b,y]=snn(p,v,s,u,d);i.endTime=b.toDate(),i.renderEndTime=y},snn=function(i,s,u,d,p){let v=!1,b=null;for(;i<=s;)v||(b=s.toDate()),v=eGe(i,u,d,p),v&&(s=s.add(1,"d")),i=i.add(1,"d");return[s,b]},ave=function(i,s,u){u=u.trim();const p=/^after\s+(?[\d\w- ]+)/.exec(u);if(p!==null){let b=null;for(const T of p.groups.ids.split(" ")){let _=QC(T);_!==void 0&&(!b||_.endTime>b.endTime)&&(b=_)}if(b)return b.endTime;const y=new Date;return y.setHours(0,0,0,0),y}let v=Lg(u,s.trim(),!0);if(v.isValid())return v.toDate();{Xe.debug("Invalid date:"+u),Xe.debug("With date format:"+s.trim());const b=new Date(u);if(b===void 0||isNaN(b.getTime())||b.getFullYear()<-1e4||b.getFullYear()>1e4)throw new Error("Invalid date:"+u);return b}},nGe=function(i){const s=/^(\d+(?:\.\d+)?)([Mdhmswy]|ms)$/.exec(i.trim());return s!==null?[Number.parseFloat(s[1]),s[2]]:[NaN,"ms"]},rGe=function(i,s,u,d=!1){u=u.trim();const v=/^until\s+(?[\d\w- ]+)/.exec(u);if(v!==null){let A=null;for(const R of v.groups.ids.split(" ")){let F=QC(R);F!==void 0&&(!A||F.startTime{window.open(u,"_self")}),Zme[d]=u)}),aGe(i,"clickable")},aGe=function(i,s){i.split(",").forEach(function(u){let d=QC(u);d!==void 0&&d.classes.push(s)})},hnn=function(i,s,u){if(qt().securityLevel!=="loose"||s===void 0)return;let d=[];if(typeof u=="string"){d=u.split(/,(?=(?:(?:[^"]*"){2})*[^"]*$)/);for(let 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u=document.querySelector(`[id="${i}-text"]`);u!==null&&u.addEventListener("click",function(){s()})})},fnn={getConfig:()=>qt().gantt,clear:Ntn,setDateFormat:ztn,getDateFormat:Wtn,enableInclusiveEndDates:qtn,endDatesAreInclusive:Htn,enableTopAxis:Vtn,topAxisEnabled:Utn,setAxisFormat:Ptn,getAxisFormat:Btn,setTickInterval:Ftn,getTickInterval:Rtn,setTodayMarker:jtn,getTodayMarker:$tn,setAccTitle:Bg,getAccTitle:Cp,setDiagramTitle:cm,getDiagramTitle:Ap,setDisplayMode:Gtn,getDisplayMode:Ktn,setAccDescription:Sp,getAccDescription:_p,addSection:enn,getSections:tnn,getTasks:nnn,addTask:cnn,findTaskById:QC,addTaskOrg:unn,setIncludes:Ytn,getIncludes:Xtn,setExcludes:Qtn,getExcludes:Jtn,setClickEvent:function(i,s,u){i.split(",").forEach(function(d){hnn(d,s,u)}),aGe(i,"clickable")},setLink:lnn,getLinks:Ztn,bindFunctions:function(i){nve.forEach(function(s){s(i)})},parseDuration:nGe,isInvalidDate:eGe,setWeekday:rnn,getWeekday:inn};function cGe(i,s,u){let d=!0;for(;d;)d=!1,u.forEach(function(p){const v="^\\s*"+p+"\\s*$",b=new RegExp(v);i[0].match(b)&&(s[p]=!0,i.shift(1),d=!0)})}const dnn=function(){Xe.debug("Something is calling, setConf, remove the call")},uGe={monday:DF,tuesday:xFe,wednesday:kFe,thursday:yC,friday:EFe,saturday:TFe,sunday:MF},gnn=(i,s)=>{let u=[...i].map(()=>-1/0),d=[...i].sort((v,b)=>v.startTime-b.startTime||v.order-b.order),p=0;for(const v of d)for(let b=0;b=u[b]){u[b]=v.endTime,v.order=b+s,b>p&&(p=b);break}return p};let V7;const pnn=Object.freeze(Object.defineProperty({__proto__:null,diagram:{parser:_tn,db:fnn,renderer:{setConf:dnn,draw:function(i,s,u,d){const p=qt().gantt,v=qt().securityLevel;let b;v==="sandbox"&&(b=Ir("#i"+s));const y=Ir(v==="sandbox"?b.nodes()[0].contentDocument.body:"body"),T=v==="sandbox"?b.nodes()[0].contentDocument:document,_=T.getElementById(s);V7=_.parentElement.offsetWidth,V7===void 0&&(V7=1200),p.useWidth!==void 0&&(V7=p.useWidth);const A=d.db.getTasks();let P=[];for(const de of A)P.push(de.type);P=se(P);const R={};let F=2*p.topPadding;if(d.db.getDisplayMode()==="compact"||p.displayMode==="compact"){const de={};for(const ge of A)de[ge.section]===void 0?de[ge.section]=[ge]:de[ge.section].push(ge);let X=0;for(const ge of Object.keys(de)){const W=gnn(de[ge],X)+1;X+=W,F+=W*(p.barHeight+p.barGap),R[ge]=W}}else{F+=A.length*(p.barHeight+p.barGap);for(const de of P)R[de]=A.filter(X=>X.type===de).length}_.setAttribute("viewBox","0 0 "+V7+" "+F);const j=y.select(`[id="${s}"]`),K=fNt().domain([WAt(A,function(de){return de.startTime}),KAt(A,function(de){return de.endTime})]).rangeRound([0,V7-p.leftPadding-p.rightPadding]);function ee(de,X){const ge=de.startTime,W=X.startTime;let xe=0;return ge>W?xe=1:geke.order))].map(ke=>de.find(Ke=>Ke.order===ke));j.append("g").selectAll("rect").data(je).enter().append("rect").attr("x",0).attr("y",function(ke,Ke){return Ke=ke.order,Ke*X+ge-2}).attr("width",function(){return Fe-p.rightPadding/2}).attr("height",X).attr("class",function(ke){for(const[Ke,Ft]of P.entries())if(ke.type===Ft)return"section section"+Ke%p.numberSectionStyles;return"section section0"});const Ie=j.append("g").selectAll("rect").data(de).enter(),Se=d.db.getLinks();if(Ie.append("rect").attr("id",function(ke){return ke.id}).attr("rx",3).attr("ry",3).attr("x",function(ke){return ke.milestone?K(ke.startTime)+W+.5*(K(ke.endTime)-K(ke.startTime))-.5*xe:K(ke.startTime)+W}).attr("y",function(ke,Ke){return Ke=ke.order,Ke*X+ge}).attr("width",function(ke){return ke.milestone?xe:K(ke.renderEndTime||ke.endTime)-K(ke.startTime)}).attr("height",xe).attr("transform-origin",function(ke,Ke){return Ke=ke.order,(K(ke.startTime)+W+.5*(K(ke.endTime)-K(ke.startTime))).toString()+"px "+(Ke*X+ge+.5*xe).toString()+"px"}).attr("class",function(ke){const Ke="task";let Ft="";ke.classes.length>0&&(Ft=ke.classes.join(" "));let Ne=0;for(const[_t,Et]of P.entries())ke.type===Et&&(Ne=_t%p.numberSectionStyles);let gn="";return ke.active?ke.crit?gn+=" activeCrit":gn=" active":ke.done?ke.crit?gn=" doneCrit":gn=" done":ke.crit&&(gn+=" crit"),gn.length===0&&(gn=" task"),ke.milestone&&(gn=" milestone "+gn),gn+=Ne,gn+=" "+Ft,Ke+gn}),Ie.append("text").attr("id",function(ke){return ke.id+"-text"}).text(function(ke){return ke.task}).attr("font-size",p.fontSize).attr("x",function(ke){let Ke=K(ke.startTime),Ft=K(ke.renderEndTime||ke.endTime);ke.milestone&&(Ke+=.5*(K(ke.endTime)-K(ke.startTime))-.5*xe),ke.milestone&&(Ft=Ke+xe);const Ne=this.getBBox().width;return Ne>Ft-Ke?Ft+Ne+1.5*p.leftPadding>Fe?Ke+W-5:Ft+W+5:(Ft-Ke)/2+Ke+W}).attr("y",function(ke,Ke){return Ke=ke.order,Ke*X+p.barHeight/2+(p.fontSize/2-2)+ge}).attr("text-height",xe).attr("class",function(ke){const Ke=K(ke.startTime);let Ft=K(ke.endTime);ke.milestone&&(Ft=Ke+xe);const Ne=this.getBBox().width;let gn="";ke.classes.length>0&&(gn=ke.classes.join(" "));let _t=0;for(const[Gt,ln]of P.entries())ke.type===ln&&(_t=Gt%p.numberSectionStyles);let Et="";return ke.active&&(ke.crit?Et="activeCritText"+_t:Et="activeText"+_t),ke.done?ke.crit?Et=Et+" doneCritText"+_t:Et=Et+" doneText"+_t:ke.crit&&(Et=Et+" critText"+_t),ke.milestone&&(Et+=" milestoneText"),Ne>Ft-Ke?Ft+Ne+1.5*p.leftPadding>Fe?gn+" taskTextOutsideLeft taskTextOutside"+_t+" "+Et:gn+" taskTextOutsideRight taskTextOutside"+_t+" "+Et+" width-"+Ne:gn+" taskText taskText"+_t+" "+Et+" width-"+Ne}),qt().securityLevel==="sandbox"){let ke;ke=Ir("#i"+s);const Ke=ke.nodes()[0].contentDocument;Ie.filter(function(Ft){return Se[Ft.id]!==void 0}).each(function(Ft){var Ne=Ke.querySelector("#"+Ft.id),gn=Ke.querySelector("#"+Ft.id+"-text");const _t=Ne.parentNode;var Et=Ke.createElement("a");Et.setAttribute("xlink:href",Se[Ft.id]),Et.setAttribute("target","_top"),_t.appendChild(Et),Et.appendChild(Ne),Et.appendChild(gn)})}}function pe(de,X,ge,W,xe,U,Fe,Pe){if(Fe.length===0&&Pe.length===0)return;let je,Ie;for(const{startTime:Ne,endTime:gn}of U)(je===void 0||NeIe)&&(Ie=gn);if(!je||!Ie)return;if(Lg(Ie).diff(Lg(je),"year")>5){Xe.warn("The difference between the min and max time is more than 5 years. This will cause performance issues. Skipping drawing exclude days.");return}const Se=d.db.getDateFormat(),Ce=[];let ke=null,Ke=Lg(je);for(;Ke.valueOf()<=Ie;)d.db.isInvalidDate(Ke,Se,Fe,Pe)?ke?ke.end=Ke:ke={start:Ke,end:Ke}:ke&&(Ce.push(ke),ke=null),Ke=Ke.add(1,"d");j.append("g").selectAll("rect").data(Ce).enter().append("rect").attr("id",function(Ne){return"exclude-"+Ne.start.format("YYYY-MM-DD")}).attr("x",function(Ne){return K(Ne.start)+ge}).attr("y",p.gridLineStartPadding).attr("width",function(Ne){const gn=Ne.end.add(1,"day");return K(gn)-K(Ne.start)}).attr("height",xe-X-p.gridLineStartPadding).attr("transform-origin",function(Ne,gn){return(K(Ne.start)+ge+.5*(K(Ne.end)-K(Ne.start))).toString()+"px "+(gn*de+.5*xe).toString()+"px"}).attr("class","exclude-range")}function be(de,X,ge,W){let xe=rLt(K).tickSize(-W+X+p.gridLineStartPadding).tickFormat(sX(d.db.getAxisFormat()||p.axisFormat||"%Y-%m-%d"));const Fe=/^([1-9]\d*)(millisecond|second|minute|hour|day|week|month)$/.exec(d.db.getTickInterval()||p.tickInterval);if(Fe!==null){const Pe=Fe[1],je=Fe[2],Ie=d.db.getWeekday()||p.weekday;switch(je){case"millisecond":xe.ticks(aD.every(Pe));break;case"second":xe.ticks(b9.every(Pe));break;case"minute":xe.ticks(AF.every(Pe));break;case"hour":xe.ticks(LF.every(Pe));break;case"day":xe.ticks(vC.every(Pe));break;case"week":xe.ticks(uGe[Ie].every(Pe));break;case"month":xe.ticks(IF.every(Pe));break}}if(j.append("g").attr("class","grid").attr("transform","translate("+de+", "+(W-50)+")").call(xe).selectAll("text").style("text-anchor","middle").attr("fill","#000").attr("stroke","none").attr("font-size",10).attr("dy","1em"),d.db.topAxisEnabled()||p.topAxis){let Pe=nLt(K).tickSize(-W+X+p.gridLineStartPadding).tickFormat(sX(d.db.getAxisFormat()||p.axisFormat||"%Y-%m-%d"));if(Fe!==null){const je=Fe[1],Ie=Fe[2],Se=d.db.getWeekday()||p.weekday;switch(Ie){case"millisecond":Pe.ticks(aD.every(je));break;case"second":Pe.ticks(b9.every(je));break;case"minute":Pe.ticks(AF.every(je));break;case"hour":Pe.ticks(LF.every(je));break;case"day":Pe.ticks(vC.every(je));break;case"week":Pe.ticks(uGe[Se].every(je));break;case"month":Pe.ticks(IF.every(je));break}}j.append("g").attr("class","grid").attr("transform","translate("+de+", "+X+")").call(Pe).selectAll("text").style("text-anchor","middle").attr("fill","#000").attr("stroke","none").attr("font-size",10)}}function ae(de,X){let ge=0;const W=Object.keys(R).map(xe=>[xe,R[xe]]);j.append("g").selectAll("text").data(W).enter().append(function(xe){const U=xe[0].split(li.lineBreakRegex),Fe=-(U.length-1)/2,Pe=T.createElementNS("http://www.w3.org/2000/svg","text");Pe.setAttribute("dy",Fe+"em");for(const[je,Ie]of U.entries()){const Se=T.createElementNS("http://www.w3.org/2000/svg","tspan");Se.setAttribute("alignment-baseline","central"),Se.setAttribute("x","10"),je>0&&Se.setAttribute("dy","1em"),Se.textContent=Ie,Pe.appendChild(Se)}return Pe}).attr("x",10).attr("y",function(xe,U){if(U>0)for(let Fe=0;Fe` + .mermaid-main-font { + font-family: var(--mermaid-font-family, "trebuchet ms", verdana, arial, sans-serif); + } + + .exclude-range { + fill: ${i.excludeBkgColor}; + } + + .section { + stroke: none; + opacity: 0.2; + } + + .section0 { + fill: ${i.sectionBkgColor}; + } + + .section2 { + fill: ${i.sectionBkgColor2}; + } + + .section1, + .section3 { + fill: ${i.altSectionBkgColor}; + opacity: 0.2; + } + + .sectionTitle0 { + fill: ${i.titleColor}; + } + + .sectionTitle1 { + fill: ${i.titleColor}; + } + + .sectionTitle2 { + fill: ${i.titleColor}; + } + + .sectionTitle3 { + fill: ${i.titleColor}; + } + + .sectionTitle { + text-anchor: start; + font-family: var(--mermaid-font-family, "trebuchet ms", verdana, arial, sans-serif); + } + + + /* Grid and axis */ + + .grid .tick { + stroke: ${i.gridColor}; + opacity: 0.8; + shape-rendering: crispEdges; + } + + .grid .tick text { + font-family: ${i.fontFamily}; + fill: ${i.textColor}; + } + + .grid path { + stroke-width: 0; + } + + + /* Today line */ + + .today { + fill: none; + stroke: ${i.todayLineColor}; + stroke-width: 2px; + } + + + /* Task styling */ + + /* Default task */ + + .task { + stroke-width: 2; + } + + .taskText { + text-anchor: middle; + font-family: var(--mermaid-font-family, "trebuchet ms", verdana, arial, sans-serif); + } + + .taskTextOutsideRight { + fill: ${i.taskTextDarkColor}; + text-anchor: start; + font-family: var(--mermaid-font-family, "trebuchet ms", verdana, arial, sans-serif); + } + + .taskTextOutsideLeft { + fill: ${i.taskTextDarkColor}; + text-anchor: end; + } + + + /* Special case clickable */ + + .task.clickable { + cursor: pointer; + } + + .taskText.clickable { + cursor: pointer; + fill: ${i.taskTextClickableColor} !important; + font-weight: bold; + } + + .taskTextOutsideLeft.clickable { + cursor: pointer; + fill: ${i.taskTextClickableColor} !important; + font-weight: bold; + } + + .taskTextOutsideRight.clickable { + cursor: pointer; + fill: ${i.taskTextClickableColor} !important; + font-weight: bold; + } + + + /* Specific task settings for the sections*/ + + .taskText0, + .taskText1, + .taskText2, + .taskText3 { + fill: ${i.taskTextColor}; + } + + .task0, + .task1, + .task2, + .task3 { + fill: ${i.taskBkgColor}; + stroke: ${i.taskBorderColor}; + } + + .taskTextOutside0, + .taskTextOutside2 + { + fill: ${i.taskTextOutsideColor}; + } + + .taskTextOutside1, + .taskTextOutside3 { + fill: ${i.taskTextOutsideColor}; + } + + + /* Active task */ + + .active0, + .active1, + .active2, + .active3 { + fill: ${i.activeTaskBkgColor}; + stroke: ${i.activeTaskBorderColor}; + } + + .activeText0, + .activeText1, + .activeText2, + .activeText3 { + fill: ${i.taskTextDarkColor} !important; + } + + + /* Completed task */ + + .done0, + .done1, + .done2, + .done3 { + stroke: ${i.doneTaskBorderColor}; + fill: ${i.doneTaskBkgColor}; + stroke-width: 2; + } + + .doneText0, + .doneText1, + .doneText2, + .doneText3 { + fill: ${i.taskTextDarkColor} !important; + } + + + /* Tasks on the critical line */ + + .crit0, + .crit1, + .crit2, + .crit3 { + stroke: ${i.critBorderColor}; + fill: ${i.critBkgColor}; + stroke-width: 2; + } + + .activeCrit0, + .activeCrit1, + .activeCrit2, + .activeCrit3 { + stroke: ${i.critBorderColor}; + fill: ${i.activeTaskBkgColor}; + stroke-width: 2; + } + + .doneCrit0, + .doneCrit1, + .doneCrit2, + .doneCrit3 { + stroke: ${i.critBorderColor}; + fill: ${i.doneTaskBkgColor}; + stroke-width: 2; + cursor: pointer; + shape-rendering: crispEdges; + } + + .milestone { + transform: rotate(45deg) scale(0.8,0.8); + } + + .milestoneText { + font-style: italic; + } + .doneCritText0, + .doneCritText1, + .doneCritText2, + .doneCritText3 { + fill: ${i.taskTextDarkColor} !important; + } + + .activeCritText0, + .activeCritText1, + .activeCritText2, + .activeCritText3 { + fill: ${i.taskTextDarkColor} !important; + } + + .titleText { + text-anchor: middle; + font-size: 18px; + fill: ${i.titleColor||i.textColor}; + font-family: var(--mermaid-font-family, "trebuchet ms", verdana, arial, sans-serif); + } +`}},Symbol.toStringTag,{value:"Module"}));var cve=function(){var i=function(v,b,y,T){for(y=y||{},T=v.length;T--;y[v[T]]=b);return y},s=[6,9,10],u={trace:function(){},yy:{},symbols_:{error:2,start:3,info:4,document:5,EOF:6,line:7,statement:8,NL:9,showInfo:10,$accept:0,$end:1},terminals_:{2:"error",4:"info",6:"EOF",9:"NL",10:"showInfo"},productions_:[0,[3,3],[5,0],[5,2],[7,1],[7,1],[8,1]],performAction:function(b,y,T,_,A,P,R){switch(P.length-1,A){case 1:return _;case 4:break;case 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this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:T?(T.length===_.length?this.yylloc.first_column:0)+_[_.length-T.length].length-T[0].length:this.yylloc.first_column-y},this.options.ranges&&(this.yylloc.range=[A[0],A[0]+this.yyleng-y]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){if(this.options.backtrack_lexer)this._backtrack=!0;else return this.parseError("Lexical error on line "+(this.yylineno+1)+`. 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Unrecognized text. +`+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var y=this.next();return y||this.lex()},begin:function(y){this.conditionStack.push(y)},popState:function(){var y=this.conditionStack.length-1;return y>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(y){return y=this.conditionStack.length-1-Math.abs(y||0),y>=0?this.conditionStack[y]:"INITIAL"},pushState:function(y){this.begin(y)},stateStackSize:function(){return this.conditionStack.length},options:{"case-insensitive":!0},performAction:function(y,T,_,A){switch(_){case 0:return 4;case 1:return 9;case 2:return"space";case 3:return 10;case 4:return 6;case 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+ // fill: white; + } + .legend text { + fill: ${i.pieLegendTextColor}; + font-family: ${i.fontFamily}; + font-size: ${i.pieLegendTextSize}; + } +`,knn=i=>{const s=Object.entries(i).map(d=>({label:d[0],value:d[1]})).sort((d,p)=>p.value-d.value);return SNt().value(d=>d.value)(s)},Enn=Object.freeze(Object.defineProperty({__proto__:null,diagram:{parser:vnn,db:ynn,renderer:{draw:(i,s,u,d)=>{Xe.debug(`rendering pie chart +`+i);const p=d.db,v=qt(),b=JF(p.getConfig(),v.pie),y=40,T=18,_=4,A=450,P=A,R=rR(s),F=R.append("g"),j=p.getSections();F.attr("transform","translate("+P/2+","+A/2+")");const{themeVariables:K}=v;let[ee]=NC(K.pieOuterStrokeWidth);ee??(ee=2);const ie=b.textPosition,oe=Math.min(P,A)/2-y,pe=lD().innerRadius(0).outerRadius(oe),be=lD().innerRadius(oe*ie).outerRadius(oe*ie);F.append("circle").attr("cx",0).attr("cy",0).attr("r",oe+ee/2).attr("class","pieOuterCircle");const ae=knn(j),ne=[K.pie1,K.pie2,K.pie3,K.pie4,K.pie5,K.pie6,K.pie7,K.pie8,K.pie9,K.pie10,K.pie11,K.pie12],se=_F(ne);F.selectAll("mySlices").data(ae).enter().append("path").attr("d",pe).attr("fill",xe=>se(xe.data.label)).attr("class","pieCircle");let de=0;Object.keys(j).forEach(xe=>{de+=j[xe]}),F.selectAll("mySlices").data(ae).enter().append("text").text(xe=>(xe.data.value/de*100).toFixed(0)+"%").attr("transform",xe=>"translate("+be.centroid(xe)+")").style("text-anchor","middle").attr("class","slice"),F.append("text").text(p.getDiagramTitle()).attr("x",0).attr("y",-(A-50)/2).attr("class","pieTitleText");const X=F.selectAll(".legend").data(se.domain()).enter().append("g").attr("class","legend").attr("transform",(xe,U)=>{const 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kt=Qe.length-1;switch(Pt){case 12:this.$=Qe[kt].trim(),xt.setDiagramTitle(this.$);break;case 13:this.$=Qe[kt].trim(),xt.setAccTitle(this.$);break;case 14:case 15:this.$=Qe[kt].trim(),xt.setAccDescription(this.$);break;case 16:xt.addSection(Qe[kt].substr(8)),this.$=Qe[kt].substr(8);break;case 17:xt.addPoint(Qe[kt-3],Qe[kt-1],Qe[kt]);break;case 18:xt.setXAxisLeftText(Qe[kt-2]),xt.setXAxisRightText(Qe[kt]);break;case 19:Qe[kt-1].text+=" ⟶ ",xt.setXAxisLeftText(Qe[kt-1]);break;case 20:xt.setXAxisLeftText(Qe[kt]);break;case 21:xt.setYAxisBottomText(Qe[kt-2]),xt.setYAxisTopText(Qe[kt]);break;case 22:Qe[kt-1].text+=" ⟶ ",xt.setYAxisBottomText(Qe[kt-1]);break;case 23:xt.setYAxisBottomText(Qe[kt]);break;case 24:xt.setQuadrant1Text(Qe[kt]);break;case 25:xt.setQuadrant2Text(Qe[kt]);break;case 26:xt.setQuadrant3Text(Qe[kt]);break;case 27:xt.setQuadrant4Text(Qe[kt]);break;case 31:this.$={text:Qe[kt],type:"text"};break;case 32:this.$={text:Qe[kt-1].text+""+Qe[kt],type:Qe[kt-1].type};break;case 33:this.$={text:Qe[kt],type:"text"};break;case 34:this.$={text:Qe[kt],type:"markdown"};break;case 35:this.$=Qe[kt];break;case 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2:if(An=this.productions_[At[1]][1],on.$=Pt[Pt.length-An],on._$={first_line:Qe[Qe.length-(An||1)].first_line,last_line:Qe[Qe.length-1].last_line,first_column:Qe[Qe.length-(An||1)].first_column,last_column:Qe[Qe.length-1].last_column},Tr&&(on._$.range=[Qe[Qe.length-(An||1)].range[0],Qe[Qe.length-1].range[1]]),wt=this.performAction.apply(on,[kt,ht,On,Ma.yy,At[1],Pt,Qe].concat(ji)),typeof wt<"u")return wt;An&&(ln=ln.slice(0,-1*An*2),Pt=Pt.slice(0,-1*An),Qe=Qe.slice(0,-1*An)),ln.push(this.productions_[At[1]][0]),Pt.push(on.$),Qe.push(on._$),oo=Dt[ln[ln.length-2]][ln[ln.length-1]],ln.push(oo);break;case 3:return!0}}return!0}},Ne=function(){var _t={EOF:1,parseError:function(Gt,ln){if(this.yy.parser)this.yy.parser.parseError(Gt,ln);else throw new Error(Gt)},setInput:function(Et,Gt){return this.yy=Gt||this.yy||{},this._input=Et,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var Et=this._input[0];this.yytext+=Et,this.yyleng++,this.offset++,this.match+=Et,this.matched+=Et;var Gt=Et.match(/(?:\r\n?|\n).*/g);return Gt?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),Et},unput:function(Et){var Gt=Et.length,ln=Et.split(/(?:\r\n?|\n)/g);this._input=Et+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-Gt),this.offset-=Gt;var xt=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),ln.length-1&&(this.yylineno-=ln.length-1);var Pt=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:ln?(ln.length===xt.length?this.yylloc.first_column:0)+xt[xt.length-ln.length].length-ln[0].length:this.yylloc.first_column-Gt},this.options.ranges&&(this.yylloc.range=[Pt[0],Pt[0]+this.yyleng-Gt]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){if(this.options.backtrack_lexer)this._backtrack=!0;else return this.parseError("Lexical error on line "+(this.yylineno+1)+`. You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true). +`+this.showPosition(),{text:"",token:null,line:this.yylineno});return this},less:function(Et){this.unput(this.match.slice(Et))},pastInput:function(){var Et=this.matched.substr(0,this.matched.length-this.match.length);return(Et.length>20?"...":"")+Et.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var Et=this.match;return Et.length<20&&(Et+=this._input.substr(0,20-Et.length)),(Et.substr(0,20)+(Et.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var Et=this.pastInput(),Gt=new Array(Et.length+1).join("-");return Et+this.upcomingInput()+` +`+Gt+"^"},test_match:function(Et,Gt){var ln,xt,Pt;if(this.options.backtrack_lexer&&(Pt={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(Pt.yylloc.range=this.yylloc.range.slice(0))),xt=Et[0].match(/(?:\r\n?|\n).*/g),xt&&(this.yylineno+=xt.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:xt?xt[xt.length-1].length-xt[xt.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+Et[0].length},this.yytext+=Et[0],this.match+=Et[0],this.matches=Et,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(Et[0].length),this.matched+=Et[0],ln=this.performAction.call(this,this.yy,this,Gt,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),ln)return ln;if(this._backtrack){for(var Qe in Pt)this[Qe]=Pt[Qe];return!1}return!1},next:function(){if(this.done)return this.EOF;this._input||(this.done=!0);var Et,Gt,ln,xt;this._more||(this.yytext="",this.match="");for(var Pt=this._currentRules(),Qe=0;QeGt[0].length)){if(Gt=ln,xt=Qe,this.options.backtrack_lexer){if(Et=this.test_match(ln,Pt[Qe]),Et!==!1)return Et;if(this._backtrack){Gt=!1;continue}else return!1}else if(!this.options.flex)break}return Gt?(Et=this.test_match(Gt,Pt[xt]),Et!==!1?Et:!1):this._input===""?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+`. 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this.begin("acc_title"),15;case 7:return this.popState(),"acc_title_value";case 8:return this.begin("acc_descr"),17;case 9:return this.popState(),"acc_descr_value";case 10:this.begin("acc_descr_multiline");break;case 11:this.popState();break;case 12:return"acc_descr_multiline_value";case 13:return 25;case 14:return 27;case 15:return 26;case 16:return 28;case 17:return 29;case 18:return 30;case 19:return 31;case 20:this.begin("md_string");break;case 21:return"MD_STR";case 22:this.popState();break;case 23:this.begin("string");break;case 24:this.popState();break;case 25:return"STR";case 26:return this.begin("point_start"),22;case 27:return this.begin("point_x"),23;case 28:this.popState();break;case 29:this.popState(),this.begin("point_y");break;case 30:return this.popState(),24;case 31:return 6;case 32:return 43;case 33:return"COLON";case 34:return 45;case 35:return 44;case 36:return 46;case 37:return 46;case 38:return 47;case 39:return 49;case 40:return 50;case 41:return 48;case 42:return 41;case 43:return 51;case 44:return 42;case 45:return 5;case 46:return 33;case 47:return 40;case 48:return 34}},rules:[/^(?:%%(?!\{)[^\n]*)/i,/^(?:[^\}]%%[^\n]*)/i,/^(?:[\n\r]+)/i,/^(?:%%[^\n]*)/i,/^(?:title\b)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accTitle\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*\{\s*)/i,/^(?:[\}])/i,/^(?:[^\}]*)/i,/^(?: *x-axis *)/i,/^(?: *y-axis *)/i,/^(?: *--+> *)/i,/^(?: *quadrant-1 *)/i,/^(?: *quadrant-2 *)/i,/^(?: *quadrant-3 *)/i,/^(?: *quadrant-4 *)/i,/^(?:["][`])/i,/^(?:[^`"]+)/i,/^(?:[`]["])/i,/^(?:["])/i,/^(?:["])/i,/^(?:[^"]*)/i,/^(?:\s*:\s*\[\s*)/i,/^(?:(1)|(0(.\d+)?))/i,/^(?:\s*\] *)/i,/^(?:\s*,\s*)/i,/^(?:(1)|(0(.\d+)?))/i,/^(?: *quadrantChart *)/i,/^(?:[A-Za-z]+)/i,/^(?::)/i,/^(?:\+)/i,/^(?:,)/i,/^(?:=)/i,/^(?:=)/i,/^(?:\*)/i,/^(?:#)/i,/^(?:[\_])/i,/^(?:\.)/i,/^(?:&)/i,/^(?:-)/i,/^(?:[0-9]+)/i,/^(?:\s)/i,/^(?:;)/i,/^(?:[!"#$%&'*+,-.`?\\_/])/i,/^(?:$)/i],conditions:{point_y:{rules:[30],inclusive:!1},point_x:{rules:[29],inclusive:!1},point_start:{rules:[27,28],inclusive:!1},acc_descr_multiline:{rules:[11,12],inclusive:!1},acc_descr:{rules:[9],inclusive:!1},acc_title:{rules:[7],inclusive:!1},title:{rules:[5],inclusive:!1},md_string:{rules:[21,22],inclusive:!1},string:{rules:[24,25],inclusive:!1},INITIAL:{rules:[0,1,2,3,4,6,8,10,13,14,15,16,17,18,19,20,23,26,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48],inclusive:!0}}};return _t}();Ft.lexer=Ne;function gn(){this.yy={}}return gn.prototype=Ft,Ft.Parser=gn,new gn}();fve.parser=fve;const Tnn=fve,Pp=f2e();class Cnn{constructor(){this.config=this.getDefaultConfig(),this.themeConfig=this.getDefaultThemeConfig(),this.data=this.getDefaultData()}getDefaultData(){return{titleText:"",quadrant1Text:"",quadrant2Text:"",quadrant3Text:"",quadrant4Text:"",xAxisLeftText:"",xAxisRightText:"",yAxisBottomText:"",yAxisTopText:"",points:[]}}getDefaultConfig(){var s,u,d,p,v,b,y,T,_,A,P,R,F,j,K,ee,ie,oe;return{showXAxis:!0,showYAxis:!0,showTitle:!0,chartHeight:((s=sh.quadrantChart)==null?void 0:s.chartWidth)||500,chartWidth:((u=sh.quadrantChart)==null?void 0:u.chartHeight)||500,titlePadding:((d=sh.quadrantChart)==null?void 0:d.titlePadding)||10,titleFontSize:((p=sh.quadrantChart)==null?void 0:p.titleFontSize)||20,quadrantPadding:((v=sh.quadrantChart)==null?void 0:v.quadrantPadding)||5,xAxisLabelPadding:((b=sh.quadrantChart)==null?void 0:b.xAxisLabelPadding)||5,yAxisLabelPadding:((y=sh.quadrantChart)==null?void 0:y.yAxisLabelPadding)||5,xAxisLabelFontSize:((T=sh.quadrantChart)==null?void 0:T.xAxisLabelFontSize)||16,yAxisLabelFontSize:((_=sh.quadrantChart)==null?void 0:_.yAxisLabelFontSize)||16,quadrantLabelFontSize:((A=sh.quadrantChart)==null?void 0:A.quadrantLabelFontSize)||16,quadrantTextTopPadding:((P=sh.quadrantChart)==null?void 0:P.quadrantTextTopPadding)||5,pointTextPadding:((R=sh.quadrantChart)==null?void 0:R.pointTextPadding)||5,pointLabelFontSize:((F=sh.quadrantChart)==null?void 0:F.pointLabelFontSize)||12,pointRadius:((j=sh.quadrantChart)==null?void 0:j.pointRadius)||5,xAxisPosition:((K=sh.quadrantChart)==null?void 0:K.xAxisPosition)||"top",yAxisPosition:((ee=sh.quadrantChart)==null?void 0:ee.yAxisPosition)||"left",quadrantInternalBorderStrokeWidth:((ie=sh.quadrantChart)==null?void 0:ie.quadrantInternalBorderStrokeWidth)||1,quadrantExternalBorderStrokeWidth:((oe=sh.quadrantChart)==null?void 0:oe.quadrantExternalBorderStrokeWidth)||2}}getDefaultThemeConfig(){return{quadrant1Fill:Pp.quadrant1Fill,quadrant2Fill:Pp.quadrant2Fill,quadrant3Fill:Pp.quadrant3Fill,quadrant4Fill:Pp.quadrant4Fill,quadrant1TextFill:Pp.quadrant1TextFill,quadrant2TextFill:Pp.quadrant2TextFill,quadrant3TextFill:Pp.quadrant3TextFill,quadrant4TextFill:Pp.quadrant4TextFill,quadrantPointFill:Pp.quadrantPointFill,quadrantPointTextFill:Pp.quadrantPointTextFill,quadrantXAxisTextFill:Pp.quadrantXAxisTextFill,quadrantYAxisTextFill:Pp.quadrantYAxisTextFill,quadrantTitleFill:Pp.quadrantTitleFill,quadrantInternalBorderStrokeFill:Pp.quadrantInternalBorderStrokeFill,quadrantExternalBorderStrokeFill:Pp.quadrantExternalBorderStrokeFill}}clear(){this.config=this.getDefaultConfig(),this.themeConfig=this.getDefaultThemeConfig(),this.data=this.getDefaultData(),Xe.info("clear called")}setData(s){this.data={...this.data,...s}}addPoints(s){this.data.points=[...s,...this.data.points]}setConfig(s){Xe.trace("setConfig called with: ",s),this.config={...this.config,...s}}setThemeConfig(s){Xe.trace("setThemeConfig called with: ",s),this.themeConfig={...this.themeConfig,...s}}calculateSpace(s,u,d,p){const v=this.config.xAxisLabelPadding*2+this.config.xAxisLabelFontSize,b={top:s==="top"&&u?v:0,bottom:s==="bottom"&&u?v:0},y=this.config.yAxisLabelPadding*2+this.config.yAxisLabelFontSize,T={left:this.config.yAxisPosition==="left"&&d?y:0,right:this.config.yAxisPosition==="right"&&d?y:0},_=this.config.titleFontSize+this.config.titlePadding*2,A={top:p?_:0},P=this.config.quadrantPadding+T.left,R=this.config.quadrantPadding+b.top+A.top,F=this.config.chartWidth-this.config.quadrantPadding*2-T.left-T.right,j=this.config.chartHeight-this.config.quadrantPadding*2-b.top-b.bottom-A.top,K=F/2,ee=j/2;return{xAxisSpace:b,yAxisSpace:T,titleSpace:A,quadrantSpace:{quadrantLeft:P,quadrantTop:R,quadrantWidth:F,quadrantHalfWidth:K,quadrantHeight:j,quadrantHalfHeight:ee}}}getAxisLabels(s,u,d,p){const{quadrantSpace:v,titleSpace:b}=p,{quadrantHalfHeight:y,quadrantHeight:T,quadrantLeft:_,quadrantHalfWidth:A,quadrantTop:P,quadrantWidth:R}=v,F=!!this.data.xAxisRightText,j=!!this.data.yAxisTopText,K=[];return this.data.xAxisLeftText&&u&&K.push({text:this.data.xAxisLeftText,fill:this.themeConfig.quadrantXAxisTextFill,x:_+(F?A/2:0),y:s==="top"?this.config.xAxisLabelPadding+b.top:this.config.xAxisLabelPadding+P+T+this.config.quadrantPadding,fontSize:this.config.xAxisLabelFontSize,verticalPos:F?"center":"left",horizontalPos:"top",rotation:0}),this.data.xAxisRightText&&u&&K.push({text:this.data.xAxisRightText,fill:this.themeConfig.quadrantXAxisTextFill,x:_+A+(F?A/2:0),y:s==="top"?this.config.xAxisLabelPadding+b.top:this.config.xAxisLabelPadding+P+T+this.config.quadrantPadding,fontSize:this.config.xAxisLabelFontSize,verticalPos:F?"center":"left",horizontalPos:"top",rotation:0}),this.data.yAxisBottomText&&d&&K.push({text:this.data.yAxisBottomText,fill:this.themeConfig.quadrantYAxisTextFill,x:this.config.yAxisPosition==="left"?this.config.yAxisLabelPadding:this.config.yAxisLabelPadding+_+R+this.config.quadrantPadding,y:P+T-(j?y/2:0),fontSize:this.config.yAxisLabelFontSize,verticalPos:j?"center":"left",horizontalPos:"top",rotation:-90}),this.data.yAxisTopText&&d&&K.push({text:this.data.yAxisTopText,fill:this.themeConfig.quadrantYAxisTextFill,x:this.config.yAxisPosition==="left"?this.config.yAxisLabelPadding:this.config.yAxisLabelPadding+_+R+this.config.quadrantPadding,y:P+y-(j?y/2:0),fontSize:this.config.yAxisLabelFontSize,verticalPos:j?"center":"left",horizontalPos:"top",rotation:-90}),K}getQuadrants(s){const{quadrantSpace:u}=s,{quadrantHalfHeight:d,quadrantLeft:p,quadrantHalfWidth:v,quadrantTop:b}=u,y=[{text:{text:this.data.quadrant1Text,fill:this.themeConfig.quadrant1TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:p+v,y:b,width:v,height:d,fill:this.themeConfig.quadrant1Fill},{text:{text:this.data.quadrant2Text,fill:this.themeConfig.quadrant2TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:p,y:b,width:v,height:d,fill:this.themeConfig.quadrant2Fill},{text:{text:this.data.quadrant3Text,fill:this.themeConfig.quadrant3TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:p,y:b+d,width:v,height:d,fill:this.themeConfig.quadrant3Fill},{text:{text:this.data.quadrant4Text,fill:this.themeConfig.quadrant4TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:p+v,y:b+d,width:v,height:d,fill:this.themeConfig.quadrant4Fill}];for(const T of y)T.text.x=T.x+T.width/2,this.data.points.length===0?(T.text.y=T.y+T.height/2,T.text.horizontalPos="middle"):(T.text.y=T.y+this.config.quadrantTextTopPadding,T.text.horizontalPos="top");return y}getQuadrantPoints(s){const{quadrantSpace:u}=s,{quadrantHeight:d,quadrantLeft:p,quadrantTop:v,quadrantWidth:b}=u,y=sD().domain([0,1]).range([p,b+p]),T=sD().domain([0,1]).range([d+v,v]);return this.data.points.map(A=>({x:y(A.x),y:T(A.y),fill:this.themeConfig.quadrantPointFill,radius:this.config.pointRadius,text:{text:A.text,fill:this.themeConfig.quadrantPointTextFill,x:y(A.x),y:T(A.y)+this.config.pointTextPadding,verticalPos:"center",horizontalPos:"top",fontSize:this.config.pointLabelFontSize,rotation:0}}))}getBorders(s){const u=this.config.quadrantExternalBorderStrokeWidth/2,{quadrantSpace:d}=s,{quadrantHalfHeight:p,quadrantHeight:v,quadrantLeft:b,quadrantHalfWidth:y,quadrantTop:T,quadrantWidth:_}=d;return[{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:b-u,y1:T,x2:b+_+u,y2:T},{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:b+_,y1:T+u,x2:b+_,y2:T+v-u},{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:b-u,y1:T+v,x2:b+_+u,y2:T+v},{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:b,y1:T+u,x2:b,y2:T+v-u},{strokeFill:this.themeConfig.quadrantInternalBorderStrokeFill,strokeWidth:this.config.quadrantInternalBorderStrokeWidth,x1:b+y,y1:T+u,x2:b+y,y2:T+v-u},{strokeFill:this.themeConfig.quadrantInternalBorderStrokeFill,strokeWidth:this.config.quadrantInternalBorderStrokeWidth,x1:b+u,y1:T+p,x2:b+_-u,y2:T+p}]}getTitle(s){if(s)return{text:this.data.titleText,fill:this.themeConfig.quadrantTitleFill,fontSize:this.config.titleFontSize,horizontalPos:"top",verticalPos:"center",rotation:0,y:this.config.titlePadding,x:this.config.chartWidth/2}}build(){const s=this.config.showXAxis&&!!(this.data.xAxisLeftText||this.data.xAxisRightText),u=this.config.showYAxis&&!!(this.data.yAxisTopText||this.data.yAxisBottomText),d=this.config.showTitle&&!!this.data.titleText,p=this.data.points.length>0?"bottom":this.config.xAxisPosition,v=this.calculateSpace(p,s,u,d);return{points:this.getQuadrantPoints(v),quadrants:this.getQuadrants(v),axisLabels:this.getAxisLabels(p,s,u,v),borderLines:this.getBorders(v),title:this.getTitle(d)}}}const Snn=qt();function U7(i){return Yf(i.trim(),Snn)}const Rg=new Cnn;function _nn(i){Rg.setData({quadrant1Text:U7(i.text)})}function Ann(i){Rg.setData({quadrant2Text:U7(i.text)})}function Lnn(i){Rg.setData({quadrant3Text:U7(i.text)})}function Mnn(i){Rg.setData({quadrant4Text:U7(i.text)})}function Dnn(i){Rg.setData({xAxisLeftText:U7(i.text)})}function Inn(i){Rg.setData({xAxisRightText:U7(i.text)})}function Onn(i){Rg.setData({yAxisTopText:U7(i.text)})}function Nnn(i){Rg.setData({yAxisBottomText:U7(i.text)})}function Pnn(i,s,u){Rg.addPoints([{x:s,y:u,text:U7(i.text)}])}function Bnn(i){Rg.setConfig({chartWidth:i})}function Fnn(i){Rg.setConfig({chartHeight:i})}function Rnn(){const i=qt(),{themeVariables:s,quadrantChart:u}=i;return u&&Rg.setConfig(u),Rg.setThemeConfig({quadrant1Fill:s.quadrant1Fill,quadrant2Fill:s.quadrant2Fill,quadrant3Fill:s.quadrant3Fill,quadrant4Fill:s.quadrant4Fill,quadrant1TextFill:s.quadrant1TextFill,quadrant2TextFill:s.quadrant2TextFill,quadrant3TextFill:s.quadrant3TextFill,quadrant4TextFill:s.quadrant4TextFill,quadrantPointFill:s.quadrantPointFill,quadrantPointTextFill:s.quadrantPointTextFill,quadrantXAxisTextFill:s.quadrantXAxisTextFill,quadrantYAxisTextFill:s.quadrantYAxisTextFill,quadrantExternalBorderStrokeFill:s.quadrantExternalBorderStrokeFill,quadrantInternalBorderStrokeFill:s.quadrantInternalBorderStrokeFill,quadrantTitleFill:s.quadrantTitleFill}),Rg.setData({titleText:Ap()}),Rg.build()}const jnn=Object.freeze(Object.defineProperty({__proto__:null,diagram:{parser:Tnn,db:{setWidth:Bnn,setHeight:Fnn,setQuadrant1Text:_nn,setQuadrant2Text:Ann,setQuadrant3Text:Lnn,setQuadrant4Text:Mnn,setXAxisLeftText:Dnn,setXAxisRightText:Inn,setYAxisTopText:Onn,setYAxisBottomText:Nnn,addPoint:Pnn,getQuadrantData:Rnn,clear:function(){Rg.clear(),Pg()},setAccTitle:Bg,getAccTitle:Cp,setDiagramTitle:cm,getDiagramTitle:Ap,getAccDescription:_p,setAccDescription:Sp},renderer:{draw:(i,s,u,d)=>{var de,X,ge;function p(W){return W==="top"?"hanging":"middle"}function v(W){return W==="left"?"start":"middle"}function b(W){return`translate(${W.x}, ${W.y}) rotate(${W.rotation||0})`}const y=qt();Xe.debug(`Rendering quadrant chart +`+i);const T=y.securityLevel;let _;T==="sandbox"&&(_=Ir("#i"+s));const P=Ir(T==="sandbox"?_.nodes()[0].contentDocument.body:"body").select(`[id="${s}"]`),R=P.append("g").attr("class","main"),F=((de=y.quadrantChart)==null?void 0:de.chartWidth)||500,j=((X=y.quadrantChart)==null?void 0:X.chartHeight)||500;Ng(P,j,F,((ge=y.quadrantChart)==null?void 0:ge.useMaxWidth)||!0),P.attr("viewBox","0 0 "+F+" "+j),d.db.setHeight(j),d.db.setWidth(F);const K=d.db.getQuadrantData(),ee=R.append("g").attr("class","quadrants"),ie=R.append("g").attr("class","border"),oe=R.append("g").attr("class","data-points"),pe=R.append("g").attr("class","labels"),be=R.append("g").attr("class","title");K.title&&be.append("text").attr("x",0).attr("y",0).attr("fill",K.title.fill).attr("font-size",K.title.fontSize).attr("dominant-baseline",p(K.title.horizontalPos)).attr("text-anchor",v(K.title.verticalPos)).attr("transform",b(K.title)).text(K.title.text),K.borderLines&&ie.selectAll("line").data(K.borderLines).enter().append("line").attr("x1",W=>W.x1).attr("y1",W=>W.y1).attr("x2",W=>W.x2).attr("y2",W=>W.y2).style("stroke",W=>W.strokeFill).style("stroke-width",W=>W.strokeWidth);const ae=ee.selectAll("g.quadrant").data(K.quadrants).enter().append("g").attr("class","quadrant");ae.append("rect").attr("x",W=>W.x).attr("y",W=>W.y).attr("width",W=>W.width).attr("height",W=>W.height).attr("fill",W=>W.fill),ae.append("text").attr("x",0).attr("y",0).attr("fill",W=>W.text.fill).attr("font-size",W=>W.text.fontSize).attr("dominant-baseline",W=>p(W.text.horizontalPos)).attr("text-anchor",W=>v(W.text.verticalPos)).attr("transform",W=>b(W.text)).text(W=>W.text.text),pe.selectAll("g.label").data(K.axisLabels).enter().append("g").attr("class","label").append("text").attr("x",0).attr("y",0).text(W=>W.text).attr("fill",W=>W.fill).attr("font-size",W=>W.fontSize).attr("dominant-baseline",W=>p(W.horizontalPos)).attr("text-anchor",W=>v(W.verticalPos)).attr("transform",W=>b(W));const se=oe.selectAll("g.data-point").data(K.points).enter().append("g").attr("class","data-point");se.append("circle").attr("cx",W=>W.x).attr("cy",W=>W.y).attr("r",W=>W.radius).attr("fill",W=>W.fill),se.append("text").attr("x",0).attr("y",0).text(W=>W.text.text).attr("fill",W=>W.text.fill).attr("font-size",W=>W.text.fontSize).attr("dominant-baseline",W=>p(W.text.horizontalPos)).attr("text-anchor",W=>v(W.text.verticalPos)).attr("transform",W=>b(W.text))}},styles:()=>""}},Symbol.toStringTag,{value:"Module"}));var dve=function(){var i=function(Pe,je,Ie,Se){for(Ie=Ie||{},Se=Pe.length;Se--;Ie[Pe[Se]]=je);return Ie},s=[1,10,12,14,16,18,19,21,23],u=[2,6],d=[1,3],p=[1,5],v=[1,6],b=[1,7],y=[1,5,10,12,14,16,18,19,21,23,34,35,36],T=[1,25],_=[1,26],A=[1,28],P=[1,29],R=[1,30],F=[1,31],j=[1,32],K=[1,33],ee=[1,34],ie=[1,35],oe=[1,36],pe=[1,37],be=[1,43],ae=[1,42],ne=[1,47],se=[1,50],de=[1,10,12,14,16,18,19,21,23,34,35,36],X=[1,10,12,14,16,18,19,21,23,24,26,27,28,34,35,36],ge=[1,10,12,14,16,18,19,21,23,24,26,27,28,34,35,36,41,42,43,44,45,46,47,48,49,50],W=[1,64],xe={trace:function(){},yy:{},symbols_:{error:2,start:3,eol:4,XYCHART:5,chartConfig:6,document:7,CHART_ORIENTATION:8,statement:9,title:10,text:11,X_AXIS:12,parseXAxis:13,Y_AXIS:14,parseYAxis:15,LINE:16,plotData:17,BAR:18,acc_title:19,acc_title_value:20,acc_descr:21,acc_descr_value:22,acc_descr_multiline_value:23,SQUARE_BRACES_START:24,commaSeparatedNumbers:25,SQUARE_BRACES_END:26,NUMBER_WITH_DECIMAL:27,COMMA:28,xAxisData:29,bandData:30,ARROW_DELIMITER:31,commaSeparatedTexts:32,yAxisData:33,NEWLINE:34,SEMI:35,EOF:36,alphaNum:37,STR:38,MD_STR:39,alphaNumToken:40,AMP:41,NUM:42,ALPHA:43,PLUS:44,EQUALS:45,MULT:46,DOT:47,BRKT:48,MINUS:49,UNDERSCORE:50,$accept:0,$end:1},terminals_:{2:"error",5:"XYCHART",8:"CHART_ORIENTATION",10:"title",12:"X_AXIS",14:"Y_AXIS",16:"LINE",18:"BAR",19:"acc_title",20:"acc_title_value",21:"acc_descr",22:"acc_descr_value",23:"acc_descr_multiline_value",24:"SQUARE_BRACES_START",26:"SQUARE_BRACES_END",27:"NUMBER_WITH_DECIMAL",28:"COMMA",31:"ARROW_DELIMITER",34:"NEWLINE",35:"SEMI",36:"EOF",38:"STR",39:"MD_STR",41:"AMP",42:"NUM",43:"ALPHA",44:"PLUS",45:"EQUALS",46:"MULT",47:"DOT",48:"BRKT",49:"MINUS",50:"UNDERSCORE"},productions_:[0,[3,2],[3,3],[3,2],[3,1],[6,1],[7,0],[7,2],[9,2],[9,2],[9,2],[9,2],[9,2],[9,3],[9,2],[9,3],[9,2],[9,2],[9,1],[17,3],[25,3],[25,1],[13,1],[13,2],[13,1],[29,1],[29,3],[30,3],[32,3],[32,1],[15,1],[15,2],[15,1],[33,3],[4,1],[4,1],[4,1],[11,1],[11,1],[11,1],[37,1],[37,2],[40,1],[40,1],[40,1],[40,1],[40,1],[40,1],[40,1],[40,1],[40,1],[40,1]],performAction:function(je,Ie,Se,Ce,ke,Ke,Ft){var Ne=Ke.length-1;switch(ke){case 5:Ce.setOrientation(Ke[Ne]);break;case 9:Ce.setDiagramTitle(Ke[Ne].text.trim());break;case 12:Ce.setLineData({text:"",type:"text"},Ke[Ne]);break;case 13:Ce.setLineData(Ke[Ne-1],Ke[Ne]);break;case 14:Ce.setBarData({text:"",type:"text"},Ke[Ne]);break;case 15:Ce.setBarData(Ke[Ne-1],Ke[Ne]);break;case 16:this.$=Ke[Ne].trim(),Ce.setAccTitle(this.$);break;case 17:case 18:this.$=Ke[Ne].trim(),Ce.setAccDescription(this.$);break;case 19:this.$=Ke[Ne-1];break;case 20:this.$=[Number(Ke[Ne-2]),...Ke[Ne]];break;case 21:this.$=[Number(Ke[Ne])];break;case 22:Ce.setXAxisTitle(Ke[Ne]);break;case 23:Ce.setXAxisTitle(Ke[Ne-1]);break;case 24:Ce.setXAxisTitle({type:"text",text:""});break;case 25:Ce.setXAxisBand(Ke[Ne]);break;case 26:Ce.setXAxisRangeData(Number(Ke[Ne-2]),Number(Ke[Ne]));break;case 27:this.$=Ke[Ne-1];break;case 28:this.$=[Ke[Ne-2],...Ke[Ne]];break;case 29:this.$=[Ke[Ne]];break;case 30:Ce.setYAxisTitle(Ke[Ne]);break;case 31:Ce.setYAxisTitle(Ke[Ne-1]);break;case 32:Ce.setYAxisTitle({type:"text",text:""});break;case 33:Ce.setYAxisRangeData(Number(Ke[Ne-2]),Number(Ke[Ne]));break;case 37:this.$={text:Ke[Ne],type:"text"};break;case 38:this.$={text:Ke[Ne],type:"text"};break;case 39:this.$={text:Ke[Ne],type:"markdown"};break;case 40:this.$=Ke[Ne];break;case 41:this.$=Ke[Ne-1]+""+Ke[Ne];break}},table:[i(s,u,{3:1,4:2,7:4,5:d,34:p,35:v,36:b}),{1:[3]},i(s,u,{4:2,7:4,3:8,5:d,34:p,35:v,36:b}),i(s,u,{4:2,7:4,6:9,3:10,5:d,8:[1,11],34:p,35:v,36:b}),{1:[2,4],9:12,10:[1,13],12:[1,14],14:[1,15],16:[1,16],18:[1,17],19:[1,18],21:[1,19],23:[1,20]},i(y,[2,34]),i(y,[2,35]),i(y,[2,36]),{1:[2,1]},i(s,u,{4:2,7:4,3:21,5:d,34:p,35:v,36:b}),{1:[2,3]},i(y,[2,5]),i(s,[2,7],{4:22,34:p,35:v,36:b}),{11:23,37:24,38:T,39:_,40:27,41:A,42:P,43:R,44:F,45:j,46:K,47:ee,48:ie,49:oe,50:pe},{11:39,13:38,24:be,27:ae,29:40,30:41,37:24,38:T,39:_,40:27,41:A,42:P,43:R,44:F,45:j,46:K,47:ee,48:ie,49:oe,50:pe},{11:45,15:44,27:ne,33:46,37:24,38:T,39:_,40:27,41:A,42:P,43:R,44:F,45:j,46:K,47:ee,48:ie,49:oe,50:pe},{11:49,17:48,24:se,37:24,38:T,39:_,40:27,41:A,42:P,43:R,44:F,45:j,46:K,47:ee,48:ie,49:oe,50:pe},{11:52,17:51,24:se,37:24,38:T,39:_,40:27,41:A,42:P,43:R,44:F,45:j,46:K,47:ee,48:ie,49:oe,50:pe},{20:[1,53]},{22:[1,54]},i(de,[2,18]),{1:[2,2]},i(de,[2,8]),i(de,[2,9]),i(X,[2,37],{40:55,41:A,42:P,43:R,44:F,45:j,46:K,47:ee,48:ie,49:oe,50:pe}),i(X,[2,38]),i(X,[2,39]),i(ge,[2,40]),i(ge,[2,42]),i(ge,[2,43]),i(ge,[2,44]),i(ge,[2,45]),i(ge,[2,46]),i(ge,[2,47]),i(ge,[2,48]),i(ge,[2,49]),i(ge,[2,50]),i(ge,[2,51]),i(de,[2,10]),i(de,[2,22],{30:41,29:56,24:be,27:ae}),i(de,[2,24]),i(de,[2,25]),{31:[1,57]},{11:59,32:58,37:24,38:T,39:_,40:27,41:A,42:P,43:R,44:F,45:j,46:K,47:ee,48:ie,49:oe,50:pe},i(de,[2,11]),i(de,[2,30],{33:60,27:ne}),i(de,[2,32]),{31:[1,61]},i(de,[2,12]),{17:62,24:se},{25:63,27:W},i(de,[2,14]),{17:65,24:se},i(de,[2,16]),i(de,[2,17]),i(ge,[2,41]),i(de,[2,23]),{27:[1,66]},{26:[1,67]},{26:[2,29],28:[1,68]},i(de,[2,31]),{27:[1,69]},i(de,[2,13]),{26:[1,70]},{26:[2,21],28:[1,71]},i(de,[2,15]),i(de,[2,26]),i(de,[2,27]),{11:59,32:72,37:24,38:T,39:_,40:27,41:A,42:P,43:R,44:F,45:j,46:K,47:ee,48:ie,49:oe,50:pe},i(de,[2,33]),i(de,[2,19]),{25:73,27:W},{26:[2,28]},{26:[2,20]}],defaultActions:{8:[2,1],10:[2,3],21:[2,2],72:[2,28],73:[2,20]},parseError:function(je,Ie){if(Ie.recoverable)this.trace(je);else{var Se=new Error(je);throw Se.hash=Ie,Se}},parse:function(je){var Ie=this,Se=[0],Ce=[],ke=[null],Ke=[],Ft=this.table,Ne="",gn=0,_t=0,Et=2,Gt=1,ln=Ke.slice.call(arguments,1),xt=Object.create(this.lexer),Pt={yy:{}};for(var Qe in this.yy)Object.prototype.hasOwnProperty.call(this.yy,Qe)&&(Pt.yy[Qe]=this.yy[Qe]);xt.setInput(je,Pt.yy),Pt.yy.lexer=xt,Pt.yy.parser=this,typeof xt.yylloc>"u"&&(xt.yylloc={});var Dt=xt.yylloc;Ke.push(Dt);var kt=xt.options&&xt.options.ranges;typeof Pt.yy.parseError=="function"?this.parseError=Pt.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;function On(){var qn;return qn=Ce.pop()||xt.lex()||Gt,typeof qn!="number"&&(qn instanceof Array&&(Ce=qn,qn=Ce.pop()),qn=Ie.symbols_[qn]||qn),qn}for(var ht,zr,yt,ji,xi={},Ma,zs,ao,Tr;;){if(zr=Se[Se.length-1],this.defaultActions[zr]?yt=this.defaultActions[zr]:((ht===null||typeof ht>"u")&&(ht=On()),yt=Ft[zr]&&Ft[zr][ht]),typeof yt>"u"||!yt.length||!yt[0]){var Fn="";Tr=[];for(Ma in Ft[zr])this.terminals_[Ma]&&Ma>Et&&Tr.push("'"+this.terminals_[Ma]+"'");xt.showPosition?Fn="Parse error on line "+(gn+1)+`: +`+xt.showPosition()+` +Expecting `+Tr.join(", ")+", got '"+(this.terminals_[ht]||ht)+"'":Fn="Parse error on line "+(gn+1)+": Unexpected "+(ht==Gt?"end of input":"'"+(this.terminals_[ht]||ht)+"'"),this.parseError(Fn,{text:xt.match,token:this.terminals_[ht]||ht,line:xt.yylineno,loc:Dt,expected:Tr})}if(yt[0]instanceof Array&&yt.length>1)throw new Error("Parse Error: multiple actions possible at state: "+zr+", token: "+ht);switch(yt[0]){case 1:Se.push(ht),ke.push(xt.yytext),Ke.push(xt.yylloc),Se.push(yt[1]),ht=null,_t=xt.yyleng,Ne=xt.yytext,gn=xt.yylineno,Dt=xt.yylloc;break;case 2:if(zs=this.productions_[yt[1]][1],xi.$=ke[ke.length-zs],xi._$={first_line:Ke[Ke.length-(zs||1)].first_line,last_line:Ke[Ke.length-1].last_line,first_column:Ke[Ke.length-(zs||1)].first_column,last_column:Ke[Ke.length-1].last_column},kt&&(xi._$.range=[Ke[Ke.length-(zs||1)].range[0],Ke[Ke.length-1].range[1]]),ji=this.performAction.apply(xi,[Ne,_t,gn,Pt.yy,yt[1],ke,Ke].concat(ln)),typeof ji<"u")return ji;zs&&(Se=Se.slice(0,-1*zs*2),ke=ke.slice(0,-1*zs),Ke=Ke.slice(0,-1*zs)),Se.push(this.productions_[yt[1]][0]),ke.push(xi.$),Ke.push(xi._$),ao=Ft[Se[Se.length-2]][Se[Se.length-1]],Se.push(ao);break;case 3:return!0}}return!0}},U=function(){var Pe={EOF:1,parseError:function(Ie,Se){if(this.yy.parser)this.yy.parser.parseError(Ie,Se);else throw new Error(Ie)},setInput:function(je,Ie){return this.yy=Ie||this.yy||{},this._input=je,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var je=this._input[0];this.yytext+=je,this.yyleng++,this.offset++,this.match+=je,this.matched+=je;var Ie=je.match(/(?:\r\n?|\n).*/g);return Ie?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),je},unput:function(je){var Ie=je.length,Se=je.split(/(?:\r\n?|\n)/g);this._input=je+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-Ie),this.offset-=Ie;var Ce=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),Se.length-1&&(this.yylineno-=Se.length-1);var ke=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:Se?(Se.length===Ce.length?this.yylloc.first_column:0)+Ce[Ce.length-Se.length].length-Se[0].length:this.yylloc.first_column-Ie},this.options.ranges&&(this.yylloc.range=[ke[0],ke[0]+this.yyleng-Ie]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){if(this.options.backtrack_lexer)this._backtrack=!0;else return this.parseError("Lexical error on line "+(this.yylineno+1)+`. You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true). +`+this.showPosition(),{text:"",token:null,line:this.yylineno});return this},less:function(je){this.unput(this.match.slice(je))},pastInput:function(){var je=this.matched.substr(0,this.matched.length-this.match.length);return(je.length>20?"...":"")+je.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var je=this.match;return je.length<20&&(je+=this._input.substr(0,20-je.length)),(je.substr(0,20)+(je.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var je=this.pastInput(),Ie=new Array(je.length+1).join("-");return je+this.upcomingInput()+` +`+Ie+"^"},test_match:function(je,Ie){var Se,Ce,ke;if(this.options.backtrack_lexer&&(ke={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(ke.yylloc.range=this.yylloc.range.slice(0))),Ce=je[0].match(/(?:\r\n?|\n).*/g),Ce&&(this.yylineno+=Ce.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:Ce?Ce[Ce.length-1].length-Ce[Ce.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+je[0].length},this.yytext+=je[0],this.match+=je[0],this.matches=je,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(je[0].length),this.matched+=je[0],Se=this.performAction.call(this,this.yy,this,Ie,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),Se)return Se;if(this._backtrack){for(var Ke in ke)this[Ke]=ke[Ke];return!1}return!1},next:function(){if(this.done)return this.EOF;this._input||(this.done=!0);var je,Ie,Se,Ce;this._more||(this.yytext="",this.match="");for(var ke=this._currentRules(),Ke=0;KeIe[0].length)){if(Ie=Se,Ce=Ke,this.options.backtrack_lexer){if(je=this.test_match(Se,ke[Ke]),je!==!1)return je;if(this._backtrack){Ie=!1;continue}else return!1}else if(!this.options.flex)break}return Ie?(je=this.test_match(Ie,ke[Ce]),je!==!1?je:!1):this._input===""?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+`. Unrecognized text. +`+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var Ie=this.next();return Ie||this.lex()},begin:function(Ie){this.conditionStack.push(Ie)},popState:function(){var Ie=this.conditionStack.length-1;return Ie>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(Ie){return Ie=this.conditionStack.length-1-Math.abs(Ie||0),Ie>=0?this.conditionStack[Ie]:"INITIAL"},pushState:function(Ie){this.begin(Ie)},stateStackSize:function(){return this.conditionStack.length},options:{"case-insensitive":!0},performAction:function(Ie,Se,Ce,ke){switch(Ce){case 0:break;case 1:break;case 2:return this.popState(),34;case 3:return this.popState(),34;case 4:return 34;case 5:break;case 6:return 10;case 7:return this.pushState("acc_title"),19;case 8:return this.popState(),"acc_title_value";case 9:return this.pushState("acc_descr"),21;case 10:return this.popState(),"acc_descr_value";case 11:this.pushState("acc_descr_multiline");break;case 12:this.popState();break;case 13:return"acc_descr_multiline_value";case 14:return 5;case 15:return 8;case 16:return this.pushState("axis_data"),"X_AXIS";case 17:return this.pushState("axis_data"),"Y_AXIS";case 18:return this.pushState("axis_band_data"),24;case 19:return 31;case 20:return this.pushState("data"),16;case 21:return this.pushState("data"),18;case 22:return this.pushState("data_inner"),24;case 23:return 27;case 24:return this.popState(),26;case 25:this.popState();break;case 26:this.pushState("string");break;case 27:this.popState();break;case 28:return"STR";case 29:return 24;case 30:return 26;case 31:return 43;case 32:return"COLON";case 33:return 44;case 34:return 28;case 35:return 45;case 36:return 46;case 37:return 48;case 38:return 50;case 39:return 47;case 40:return 41;case 41:return 49;case 42:return 42;case 43:break;case 44:return 35;case 45:return 36}},rules:[/^(?:%%(?!\{)[^\n]*)/i,/^(?:[^\}]%%[^\n]*)/i,/^(?:(\r?\n))/i,/^(?:(\r?\n))/i,/^(?:[\n\r]+)/i,/^(?:%%[^\n]*)/i,/^(?:title\b)/i,/^(?:accTitle\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*\{\s*)/i,/^(?:\{)/i,/^(?:[^\}]*)/i,/^(?:xychart-beta\b)/i,/^(?:(?:vertical|horizontal))/i,/^(?:x-axis\b)/i,/^(?:y-axis\b)/i,/^(?:\[)/i,/^(?:-->)/i,/^(?:line\b)/i,/^(?:bar\b)/i,/^(?:\[)/i,/^(?:[+-]?(?:\d+(?:\.\d+)?|\.\d+))/i,/^(?:\])/i,/^(?:(?:`\) \{ this\.pushState\(md_string\); \}\n\(\?:\(\?!`"\)\.\)\+ \{ return MD_STR; \}\n\(\?:`))/i,/^(?:["])/i,/^(?:["])/i,/^(?:[^"]*)/i,/^(?:\[)/i,/^(?:\])/i,/^(?:[A-Za-z]+)/i,/^(?::)/i,/^(?:\+)/i,/^(?:,)/i,/^(?:=)/i,/^(?:\*)/i,/^(?:#)/i,/^(?:[\_])/i,/^(?:\.)/i,/^(?:&)/i,/^(?:-)/i,/^(?:[0-9]+)/i,/^(?:\s+)/i,/^(?:;)/i,/^(?:$)/i],conditions:{data_inner:{rules:[0,1,4,5,6,7,9,11,14,15,16,17,20,21,23,24,25,26,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45],inclusive:!0},data:{rules:[0,1,3,4,5,6,7,9,11,14,15,16,17,20,21,22,25,26,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45],inclusive:!0},axis_band_data:{rules:[0,1,4,5,6,7,9,11,14,15,16,17,20,21,24,25,26,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45],inclusive:!0},axis_data:{rules:[0,1,2,4,5,6,7,9,11,14,15,16,17,18,19,20,21,23,25,26,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45],inclusive:!0},acc_descr_multiline:{rules:[12,13],inclusive:!1},acc_descr:{rules:[10],inclusive:!1},acc_title:{rules:[8],inclusive:!1},title:{rules:[],inclusive:!1},md_string:{rules:[],inclusive:!1},string:{rules:[27,28],inclusive:!1},INITIAL:{rules:[0,1,4,5,6,7,9,11,14,15,16,17,20,21,25,26,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45],inclusive:!0}}};return Pe}();xe.lexer=U;function Fe(){this.yy={}}return Fe.prototype=xe,xe.Parser=Fe,new Fe}();dve.parser=dve;const $nn=dve;function fGe(i){return i.type==="bar"}function dGe(i){return i.type==="band"}function $R(i){return i.type==="linear"}class gGe{constructor(s){this.parentGroup=s}getMaxDimension(s,u){if(!this.parentGroup)return{width:s.reduce((v,b)=>Math.max(b.length,v),0)*u,height:u};const d={width:0,height:0},p=this.parentGroup.append("g").attr("visibility","hidden").attr("font-size",u);for(const v of s){const b=RZt(p,1,v),y=b?b.width:v.length*u,T=b?b.height:u;d.width=Math.max(d.width,y),d.height=Math.max(d.height,T)}return p.remove(),d}}const pGe=.7,bGe=.2;class mGe{constructor(s,u,d,p){this.axisConfig=s,this.title=u,this.textDimensionCalculator=d,this.axisThemeConfig=p,this.boundingRect={x:0,y:0,width:0,height:0},this.axisPosition="left",this.showTitle=!1,this.showLabel=!1,this.showTick=!1,this.showAxisLine=!1,this.outerPadding=0,this.titleTextHeight=0,this.labelTextHeight=0,this.range=[0,10],this.boundingRect={x:0,y:0,width:0,height:0},this.axisPosition="left"}setRange(s){this.range=s,this.axisPosition==="left"||this.axisPosition==="right"?this.boundingRect.height=s[1]-s[0]:this.boundingRect.width=s[1]-s[0],this.recalculateScale()}getRange(){return[this.range[0]+this.outerPadding,this.range[1]-this.outerPadding]}setAxisPosition(s){this.axisPosition=s,this.setRange(this.range)}getTickDistance(){const s=this.getRange();return Math.abs(s[0]-s[1])/this.getTickValues().length}getAxisOuterPadding(){return this.outerPadding}getLabelDimension(){return this.textDimensionCalculator.getMaxDimension(this.getTickValues().map(s=>s.toString()),this.axisConfig.labelFontSize)}recalculateOuterPaddingToDrawBar(){pGe*this.getTickDistance()>this.outerPadding*2&&(this.outerPadding=Math.floor(pGe*this.getTickDistance()/2)),this.recalculateScale()}calculateSpaceIfDrawnHorizontally(s){let u=s.height;if(this.axisConfig.showAxisLine&&u>this.axisConfig.axisLineWidth&&(u-=this.axisConfig.axisLineWidth,this.showAxisLine=!0),this.axisConfig.showLabel){const d=this.getLabelDimension(),p=bGe*s.width;this.outerPadding=Math.min(d.width/2,p);const v=d.height+this.axisConfig.labelPadding*2;this.labelTextHeight=d.height,v<=u&&(u-=v,this.showLabel=!0)}if(this.axisConfig.showTick&&u>=this.axisConfig.tickLength&&(this.showTick=!0,u-=this.axisConfig.tickLength),this.axisConfig.showTitle&&this.title){const d=this.textDimensionCalculator.getMaxDimension([this.title],this.axisConfig.titleFontSize),p=d.height+this.axisConfig.titlePadding*2;this.titleTextHeight=d.height,p<=u&&(u-=p,this.showTitle=!0)}this.boundingRect.width=s.width,this.boundingRect.height=s.height-u}calculateSpaceIfDrawnVertical(s){let u=s.width;if(this.axisConfig.showAxisLine&&u>this.axisConfig.axisLineWidth&&(u-=this.axisConfig.axisLineWidth,this.showAxisLine=!0),this.axisConfig.showLabel){const d=this.getLabelDimension(),p=bGe*s.height;this.outerPadding=Math.min(d.height/2,p);const v=d.width+this.axisConfig.labelPadding*2;v<=u&&(u-=v,this.showLabel=!0)}if(this.axisConfig.showTick&&u>=this.axisConfig.tickLength&&(this.showTick=!0,u-=this.axisConfig.tickLength),this.axisConfig.showTitle&&this.title){const d=this.textDimensionCalculator.getMaxDimension([this.title],this.axisConfig.titleFontSize),p=d.height+this.axisConfig.titlePadding*2;this.titleTextHeight=d.height,p<=u&&(u-=p,this.showTitle=!0)}this.boundingRect.width=s.width-u,this.boundingRect.height=s.height}calculateSpace(s){return this.axisPosition==="left"||this.axisPosition==="right"?this.calculateSpaceIfDrawnVertical(s):this.calculateSpaceIfDrawnHorizontally(s),this.recalculateScale(),{width:this.boundingRect.width,height:this.boundingRect.height}}setBoundingBoxXY(s){this.boundingRect.x=s.x,this.boundingRect.y=s.y}getDrawableElementsForLeftAxis(){const s=[];if(this.showAxisLine){const u=this.boundingRect.x+this.boundingRect.width-this.axisConfig.axisLineWidth/2;s.push({type:"path",groupTexts:["left-axis","axisl-line"],data:[{path:`M ${u},${this.boundingRect.y} L ${u},${this.boundingRect.y+this.boundingRect.height} `,strokeFill:this.axisThemeConfig.axisLineColor,strokeWidth:this.axisConfig.axisLineWidth}]})}if(this.showLabel&&s.push({type:"text",groupTexts:["left-axis","label"],data:this.getTickValues().map(u=>({text:u.toString(),x:this.boundingRect.x+this.boundingRect.width-(this.showLabel?this.axisConfig.labelPadding:0)-(this.showTick?this.axisConfig.tickLength:0)-(this.showAxisLine?this.axisConfig.axisLineWidth:0),y:this.getScaleValue(u),fill:this.axisThemeConfig.labelColor,fontSize:this.axisConfig.labelFontSize,rotation:0,verticalPos:"middle",horizontalPos:"right"}))}),this.showTick){const u=this.boundingRect.x+this.boundingRect.width-(this.showAxisLine?this.axisConfig.axisLineWidth:0);s.push({type:"path",groupTexts:["left-axis","ticks"],data:this.getTickValues().map(d=>({path:`M ${u},${this.getScaleValue(d)} L ${u-this.axisConfig.tickLength},${this.getScaleValue(d)}`,strokeFill:this.axisThemeConfig.tickColor,strokeWidth:this.axisConfig.tickWidth}))})}return this.showTitle&&s.push({type:"text",groupTexts:["left-axis","title"],data:[{text:this.title,x:this.boundingRect.x+this.axisConfig.titlePadding,y:this.boundingRect.y+this.boundingRect.height/2,fill:this.axisThemeConfig.titleColor,fontSize:this.axisConfig.titleFontSize,rotation:270,verticalPos:"top",horizontalPos:"center"}]}),s}getDrawableElementsForBottomAxis(){const s=[];if(this.showAxisLine){const u=this.boundingRect.y+this.axisConfig.axisLineWidth/2;s.push({type:"path",groupTexts:["bottom-axis","axis-line"],data:[{path:`M ${this.boundingRect.x},${u} L ${this.boundingRect.x+this.boundingRect.width},${u}`,strokeFill:this.axisThemeConfig.axisLineColor,strokeWidth:this.axisConfig.axisLineWidth}]})}if(this.showLabel&&s.push({type:"text",groupTexts:["bottom-axis","label"],data:this.getTickValues().map(u=>({text:u.toString(),x:this.getScaleValue(u),y:this.boundingRect.y+this.axisConfig.labelPadding+(this.showTick?this.axisConfig.tickLength:0)+(this.showAxisLine?this.axisConfig.axisLineWidth:0),fill:this.axisThemeConfig.labelColor,fontSize:this.axisConfig.labelFontSize,rotation:0,verticalPos:"top",horizontalPos:"center"}))}),this.showTick){const u=this.boundingRect.y+(this.showAxisLine?this.axisConfig.axisLineWidth:0);s.push({type:"path",groupTexts:["bottom-axis","ticks"],data:this.getTickValues().map(d=>({path:`M ${this.getScaleValue(d)},${u} L ${this.getScaleValue(d)},${u+this.axisConfig.tickLength}`,strokeFill:this.axisThemeConfig.tickColor,strokeWidth:this.axisConfig.tickWidth}))})}return this.showTitle&&s.push({type:"text",groupTexts:["bottom-axis","title"],data:[{text:this.title,x:this.range[0]+(this.range[1]-this.range[0])/2,y:this.boundingRect.y+this.boundingRect.height-this.axisConfig.titlePadding-this.titleTextHeight,fill:this.axisThemeConfig.titleColor,fontSize:this.axisConfig.titleFontSize,rotation:0,verticalPos:"top",horizontalPos:"center"}]}),s}getDrawableElementsForTopAxis(){const s=[];if(this.showAxisLine){const u=this.boundingRect.y+this.boundingRect.height-this.axisConfig.axisLineWidth/2;s.push({type:"path",groupTexts:["top-axis","axis-line"],data:[{path:`M ${this.boundingRect.x},${u} L ${this.boundingRect.x+this.boundingRect.width},${u}`,strokeFill:this.axisThemeConfig.axisLineColor,strokeWidth:this.axisConfig.axisLineWidth}]})}if(this.showLabel&&s.push({type:"text",groupTexts:["top-axis","label"],data:this.getTickValues().map(u=>({text:u.toString(),x:this.getScaleValue(u),y:this.boundingRect.y+(this.showTitle?this.titleTextHeight+this.axisConfig.titlePadding*2:0)+this.axisConfig.labelPadding,fill:this.axisThemeConfig.labelColor,fontSize:this.axisConfig.labelFontSize,rotation:0,verticalPos:"top",horizontalPos:"center"}))}),this.showTick){const u=this.boundingRect.y;s.push({type:"path",groupTexts:["top-axis","ticks"],data:this.getTickValues().map(d=>({path:`M ${this.getScaleValue(d)},${u+this.boundingRect.height-(this.showAxisLine?this.axisConfig.axisLineWidth:0)} L ${this.getScaleValue(d)},${u+this.boundingRect.height-this.axisConfig.tickLength-(this.showAxisLine?this.axisConfig.axisLineWidth:0)}`,strokeFill:this.axisThemeConfig.tickColor,strokeWidth:this.axisConfig.tickWidth}))})}return this.showTitle&&s.push({type:"text",groupTexts:["top-axis","title"],data:[{text:this.title,x:this.boundingRect.x+this.boundingRect.width/2,y:this.boundingRect.y+this.axisConfig.titlePadding,fill:this.axisThemeConfig.titleColor,fontSize:this.axisConfig.titleFontSize,rotation:0,verticalPos:"top",horizontalPos:"center"}]}),s}getDrawableElements(){if(this.axisPosition==="left")return this.getDrawableElementsForLeftAxis();if(this.axisPosition==="right")throw Error("Drawing of right axis is not implemented");return this.axisPosition==="bottom"?this.getDrawableElementsForBottomAxis():this.axisPosition==="top"?this.getDrawableElementsForTopAxis():[]}}class znn extends mGe{constructor(s,u,d,p,v){super(s,p,v,u),this.categories=d,this.scale=qpe().domain(this.categories).range(this.getRange())}setRange(s){super.setRange(s)}recalculateScale(){this.scale=qpe().domain(this.categories).range(this.getRange()).paddingInner(1).paddingOuter(0).align(.5),Xe.trace("BandAxis axis final categories, range: ",this.categories,this.getRange())}getTickValues(){return this.categories}getScaleValue(s){return this.scale(s)||this.getRange()[0]}}class qnn extends mGe{constructor(s,u,d,p,v){super(s,p,v,u),this.domain=d,this.scale=sD().domain(this.domain).range(this.getRange())}getTickValues(){return this.scale.ticks()}recalculateScale(){const s=[...this.domain];this.axisPosition==="left"&&s.reverse(),this.scale=sD().domain(s).range(this.getRange())}getScaleValue(s){return this.scale(s)}}function vGe(i,s,u,d){const p=new gGe(d);return dGe(i)?new znn(s,u,i.categories,i.title,p):new qnn(s,u,[i.min,i.max],i.title,p)}class Hnn{constructor(s,u,d,p){this.textDimensionCalculator=s,this.chartConfig=u,this.chartData=d,this.chartThemeConfig=p,this.boundingRect={x:0,y:0,width:0,height:0},this.showChartTitle=!1}setBoundingBoxXY(s){this.boundingRect.x=s.x,this.boundingRect.y=s.y}calculateSpace(s){const u=this.textDimensionCalculator.getMaxDimension([this.chartData.title],this.chartConfig.titleFontSize),d=Math.max(u.width,s.width),p=u.height+2*this.chartConfig.titlePadding;return u.width<=d&&u.height<=p&&this.chartConfig.showTitle&&this.chartData.title&&(this.boundingRect.width=d,this.boundingRect.height=p,this.showChartTitle=!0),{width:this.boundingRect.width,height:this.boundingRect.height}}getDrawableElements(){const s=[];return this.showChartTitle&&s.push({groupTexts:["chart-title"],type:"text",data:[{fontSize:this.chartConfig.titleFontSize,text:this.chartData.title,verticalPos:"middle",horizontalPos:"center",x:this.boundingRect.x+this.boundingRect.width/2,y:this.boundingRect.y+this.boundingRect.height/2,fill:this.chartThemeConfig.titleColor,rotation:0}]}),s}}function Vnn(i,s,u,d){const p=new gGe(d);return new Hnn(p,i,s,u)}class Unn{constructor(s,u,d,p,v){this.plotData=s,this.xAxis=u,this.yAxis=d,this.orientation=p,this.plotIndex=v}getDrawableElement(){const s=this.plotData.data.map(d=>[this.xAxis.getScaleValue(d[0]),this.yAxis.getScaleValue(d[1])]);let u;return this.orientation==="horizontal"?u=k7().y(d=>d[0]).x(d=>d[1])(s):u=k7().x(d=>d[0]).y(d=>d[1])(s),u?[{groupTexts:["plot",`line-plot-${this.plotIndex}`],type:"path",data:[{path:u,strokeFill:this.plotData.strokeFill,strokeWidth:this.plotData.strokeWidth}]}]:[]}}class Gnn{constructor(s,u,d,p,v,b){this.barData=s,this.boundingRect=u,this.xAxis=d,this.yAxis=p,this.orientation=v,this.plotIndex=b}getDrawableElement(){const s=this.barData.data.map(v=>[this.xAxis.getScaleValue(v[0]),this.yAxis.getScaleValue(v[1])]),u=.05,d=Math.min(this.xAxis.getAxisOuterPadding()*2,this.xAxis.getTickDistance())*(1-u),p=d/2;return this.orientation==="horizontal"?[{groupTexts:["plot",`bar-plot-${this.plotIndex}`],type:"rect",data:s.map(v=>({x:this.boundingRect.x,y:v[0]-p,height:d,width:v[1]-this.boundingRect.x,fill:this.barData.fill,strokeWidth:0,strokeFill:this.barData.fill}))}]:[{groupTexts:["plot",`bar-plot-${this.plotIndex}`],type:"rect",data:s.map(v=>({x:v[0]-p,y:v[1],width:d,height:this.boundingRect.y+this.boundingRect.height-v[1],fill:this.barData.fill,strokeWidth:0,strokeFill:this.barData.fill}))}]}}class Knn{constructor(s,u,d){this.chartConfig=s,this.chartData=u,this.chartThemeConfig=d,this.boundingRect={x:0,y:0,width:0,height:0}}setAxes(s,u){this.xAxis=s,this.yAxis=u}setBoundingBoxXY(s){this.boundingRect.x=s.x,this.boundingRect.y=s.y}calculateSpace(s){return this.boundingRect.width=s.width,this.boundingRect.height=s.height,{width:this.boundingRect.width,height:this.boundingRect.height}}getDrawableElements(){if(!(this.xAxis&&this.yAxis))throw Error("Axes must be passed to render Plots");const s=[];for(const[u,d]of this.chartData.plots.entries())switch(d.type){case"line":{const p=new Unn(d,this.xAxis,this.yAxis,this.chartConfig.chartOrientation,u);s.push(...p.getDrawableElement())}break;case"bar":{const p=new Gnn(d,this.boundingRect,this.xAxis,this.yAxis,this.chartConfig.chartOrientation,u);s.push(...p.getDrawableElement())}break}return s}}function Wnn(i,s,u){return new Knn(i,s,u)}class Ynn{constructor(s,u,d,p){this.chartConfig=s,this.chartData=u,this.componentStore={title:Vnn(s,u,d,p),plot:Wnn(s,u,d),xAxis:vGe(u.xAxis,s.xAxis,{titleColor:d.xAxisTitleColor,labelColor:d.xAxisLabelColor,tickColor:d.xAxisTickColor,axisLineColor:d.xAxisLineColor},p),yAxis:vGe(u.yAxis,s.yAxis,{titleColor:d.yAxisTitleColor,labelColor:d.yAxisLabelColor,tickColor:d.yAxisTickColor,axisLineColor:d.yAxisLineColor},p)}}calculateVerticalSpace(){let s=this.chartConfig.width,u=this.chartConfig.height,d=0,p=0,v=Math.floor(s*this.chartConfig.plotReservedSpacePercent/100),b=Math.floor(u*this.chartConfig.plotReservedSpacePercent/100),y=this.componentStore.plot.calculateSpace({width:v,height:b});s-=y.width,u-=y.height,y=this.componentStore.title.calculateSpace({width:this.chartConfig.width,height:u}),p=y.height,u-=y.height,this.componentStore.xAxis.setAxisPosition("bottom"),y=this.componentStore.xAxis.calculateSpace({width:s,height:u}),u-=y.height,this.componentStore.yAxis.setAxisPosition("left"),y=this.componentStore.yAxis.calculateSpace({width:s,height:u}),d=y.width,s-=y.width,s>0&&(v+=s,s=0),u>0&&(b+=u,u=0),this.componentStore.plot.calculateSpace({width:v,height:b}),this.componentStore.plot.setBoundingBoxXY({x:d,y:p}),this.componentStore.xAxis.setRange([d,d+v]),this.componentStore.xAxis.setBoundingBoxXY({x:d,y:p+b}),this.componentStore.yAxis.setRange([p,p+b]),this.componentStore.yAxis.setBoundingBoxXY({x:0,y:p}),this.chartData.plots.some(T=>fGe(T))&&this.componentStore.xAxis.recalculateOuterPaddingToDrawBar()}calculateHorizontalSpace(){let s=this.chartConfig.width,u=this.chartConfig.height,d=0,p=0,v=0,b=Math.floor(s*this.chartConfig.plotReservedSpacePercent/100),y=Math.floor(u*this.chartConfig.plotReservedSpacePercent/100),T=this.componentStore.plot.calculateSpace({width:b,height:y});s-=T.width,u-=T.height,T=this.componentStore.title.calculateSpace({width:this.chartConfig.width,height:u}),d=T.height,u-=T.height,this.componentStore.xAxis.setAxisPosition("left"),T=this.componentStore.xAxis.calculateSpace({width:s,height:u}),s-=T.width,p=T.width,this.componentStore.yAxis.setAxisPosition("top"),T=this.componentStore.yAxis.calculateSpace({width:s,height:u}),u-=T.height,v=d+T.height,s>0&&(b+=s,s=0),u>0&&(y+=u,u=0),this.componentStore.plot.calculateSpace({width:b,height:y}),this.componentStore.plot.setBoundingBoxXY({x:p,y:v}),this.componentStore.yAxis.setRange([p,p+b]),this.componentStore.yAxis.setBoundingBoxXY({x:p,y:d}),this.componentStore.xAxis.setRange([v,v+y]),this.componentStore.xAxis.setBoundingBoxXY({x:0,y:v}),this.chartData.plots.some(_=>fGe(_))&&this.componentStore.xAxis.recalculateOuterPaddingToDrawBar()}calculateSpace(){this.chartConfig.chartOrientation==="horizontal"?this.calculateHorizontalSpace():this.calculateVerticalSpace()}getDrawableElement(){this.calculateSpace();const s=[];this.componentStore.plot.setAxes(this.componentStore.xAxis,this.componentStore.yAxis);for(const u of Object.values(this.componentStore))s.push(...u.getDrawableElements());return s}}class Xnn{static build(s,u,d,p){return new Ynn(s,u,d,p).getDrawableElement()}}let zR=0,wGe,qR=xGe(),HR=yGe(),el=kGe(),gve=HR.plotColorPalette.split(",").map(i=>i.trim()),gJ=!1,pve=!1;function yGe(){const i=f2e(),s=Vh();return JF(i.xyChart,s.themeVariables.xyChart)}function xGe(){const i=Vh();return JF(sh.xyChart,i.xyChart)}function kGe(){return{yAxis:{type:"linear",title:"",min:1/0,max:-1/0},xAxis:{type:"band",title:"",categories:[]},title:"",plots:[]}}function bve(i){const s=Vh();return Yf(i.trim(),s)}function Qnn(i){wGe=i}function Jnn(i){i==="horizontal"?qR.chartOrientation="horizontal":qR.chartOrientation="vertical"}function Znn(i){el.xAxis.title=bve(i.text)}function EGe(i,s){el.xAxis={type:"linear",title:el.xAxis.title,min:i,max:s},gJ=!0}function ern(i){el.xAxis={type:"band",title:el.xAxis.title,categories:i.map(s=>bve(s.text))},gJ=!0}function trn(i){el.yAxis.title=bve(i.text)}function nrn(i,s){el.yAxis={type:"linear",title:el.yAxis.title,min:i,max:s},pve=!0}function rrn(i){const s=Math.min(...i),u=Math.max(...i),d=$R(el.yAxis)?el.yAxis.min:1/0,p=$R(el.yAxis)?el.yAxis.max:-1/0;el.yAxis={type:"linear",title:el.yAxis.title,min:Math.min(d,s),max:Math.max(p,u)}}function TGe(i){let s=[];if(i.length===0)return s;if(!gJ){const u=$R(el.xAxis)?el.xAxis.min:1/0,d=$R(el.xAxis)?el.xAxis.max:-1/0;EGe(Math.min(u,1),Math.max(d,i.length))}if(pve||rrn(i),dGe(el.xAxis)&&(s=el.xAxis.categories.map((u,d)=>[u,i[d]])),$R(el.xAxis)){const u=el.xAxis.min,d=el.xAxis.max,p=(d-u+1)/i.length,v=[];for(let b=u;b<=d;b+=p)v.push(`${b}`);s=v.map((b,y)=>[b,i[y]])}return s}function CGe(i){return gve[i===0?0:i%gve.length]}function irn(i,s){const u=TGe(s);el.plots.push({type:"line",strokeFill:CGe(zR),strokeWidth:2,data:u}),zR++}function srn(i,s){const u=TGe(s);el.plots.push({type:"bar",fill:CGe(zR),data:u}),zR++}function arn(){if(el.plots.length===0)throw Error("No Plot to render, please provide a plot with some data");return el.title=Ap(),Xnn.build(qR,el,HR,wGe)}function orn(){return HR}function crn(){return qR}const urn=Object.freeze(Object.defineProperty({__proto__:null,diagram:{parser:$nn,db:{getDrawableElem:arn,clear:function(){Pg(),zR=0,qR=xGe(),el=kGe(),HR=yGe(),gve=HR.plotColorPalette.split(",").map(i=>i.trim()),gJ=!1,pve=!1},setAccTitle:Bg,getAccTitle:Cp,setDiagramTitle:cm,getDiagramTitle:Ap,getAccDescription:_p,setAccDescription:Sp,setOrientation:Jnn,setXAxisTitle:Znn,setXAxisRangeData:EGe,setXAxisBand:ern,setYAxisTitle:trn,setYAxisRangeData:nrn,setLineData:irn,setBarData:srn,setTmpSVGG:Qnn,getChartThemeConfig:orn,getChartConfig:crn},renderer:{draw:(i,s,u,d)=>{const p=d.db,v=p.getChartThemeConfig(),b=p.getChartConfig();function y(ee){return ee==="top"?"text-before-edge":"middle"}function T(ee){return ee==="left"?"start":ee==="right"?"end":"middle"}function _(ee){return`translate(${ee.x}, ${ee.y}) rotate(${ee.rotation||0})`}Xe.debug(`Rendering xychart chart +`+i);const A=rR(s),P=A.append("g").attr("class","main"),R=P.append("rect").attr("width",b.width).attr("height",b.height).attr("class","background");Ng(A,b.height,b.width,!0),A.attr("viewBox",`0 0 ${b.width} ${b.height}`),R.attr("fill",v.backgroundColor),p.setTmpSVGG(A.append("g").attr("class","mermaid-tmp-group"));const F=p.getDrawableElem(),j={};function K(ee){let ie=P,oe="";for(const[pe]of ee.entries()){let be=P;pe>0&&j[oe]&&(be=j[oe]),oe+=ee[pe],ie=j[oe],ie||(ie=j[oe]=be.append("g").attr("class",ee[pe]))}return ie}for(const ee of F){if(ee.data.length===0)continue;const ie=K(ee.groupTexts);switch(ee.type){case"rect":ie.selectAll("rect").data(ee.data).enter().append("rect").attr("x",oe=>oe.x).attr("y",oe=>oe.y).attr("width",oe=>oe.width).attr("height",oe=>oe.height).attr("fill",oe=>oe.fill).attr("stroke",oe=>oe.strokeFill).attr("stroke-width",oe=>oe.strokeWidth);break;case"text":ie.selectAll("text").data(ee.data).enter().append("text").attr("x",0).attr("y",0).attr("fill",oe=>oe.fill).attr("font-size",oe=>oe.fontSize).attr("dominant-baseline",oe=>y(oe.verticalPos)).attr("text-anchor",oe=>T(oe.horizontalPos)).attr("transform",oe=>_(oe)).text(oe=>oe.text);break;case"path":ie.selectAll("path").data(ee.data).enter().append("path").attr("d",oe=>oe.path).attr("fill",oe=>oe.fill?oe.fill:"none").attr("stroke",oe=>oe.strokeFill).attr("stroke-width",oe=>oe.strokeWidth);break}}}}}},Symbol.toStringTag,{value:"Module"}));var mve=function(){var i=function(_t,Et,Gt,ln){for(Gt=Gt||{},ln=_t.length;ln--;Gt[_t[ln]]=Et);return Gt},s=[1,3],u=[1,4],d=[1,5],p=[1,6],v=[5,6,8,9,11,13,31,32,33,34,35,36,44,62,63],b=[1,18],y=[2,7],T=[1,22],_=[1,23],A=[1,24],P=[1,25],R=[1,26],F=[1,27],j=[1,20],K=[1,28],ee=[1,29],ie=[62,63],oe=[5,8,9,11,13,31,32,33,34,35,36,44,51,53,62,63],pe=[1,47],be=[1,48],ae=[1,49],ne=[1,50],se=[1,51],de=[1,52],X=[1,53],ge=[53,54],W=[1,64],xe=[1,60],U=[1,61],Fe=[1,62],Pe=[1,63],je=[1,65],Ie=[1,69],Se=[1,70],Ce=[1,67],ke=[1,68],Ke=[5,8,9,11,13,31,32,33,34,35,36,44,62,63],Ft={trace:function(){},yy:{},symbols_:{error:2,start:3,directive:4,NEWLINE:5,RD:6,diagram:7,EOF:8,acc_title:9,acc_title_value:10,acc_descr:11,acc_descr_value:12,acc_descr_multiline_value:13,requirementDef:14,elementDef:15,relationshipDef:16,requirementType:17,requirementName:18,STRUCT_START:19,requirementBody:20,ID:21,COLONSEP:22,id:23,TEXT:24,text:25,RISK:26,riskLevel:27,VERIFYMTHD:28,verifyType:29,STRUCT_STOP:30,REQUIREMENT:31,FUNCTIONAL_REQUIREMENT:32,INTERFACE_REQUIREMENT:33,PERFORMANCE_REQUIREMENT:34,PHYSICAL_REQUIREMENT:35,DESIGN_CONSTRAINT:36,LOW_RISK:37,MED_RISK:38,HIGH_RISK:39,VERIFY_ANALYSIS:40,VERIFY_DEMONSTRATION:41,VERIFY_INSPECTION:42,VERIFY_TEST:43,ELEMENT:44,elementName:45,elementBody:46,TYPE:47,type:48,DOCREF:49,ref:50,END_ARROW_L:51,relationship:52,LINE:53,END_ARROW_R:54,CONTAINS:55,COPIES:56,DERIVES:57,SATISFIES:58,VERIFIES:59,REFINES:60,TRACES:61,unqString:62,qString:63,$accept:0,$end:1},terminals_:{2:"error",5:"NEWLINE",6:"RD",8:"EOF",9:"acc_title",10:"acc_title_value",11:"acc_descr",12:"acc_descr_value",13:"acc_descr_multiline_value",19:"STRUCT_START",21:"ID",22:"COLONSEP",24:"TEXT",26:"RISK",28:"VERIFYMTHD",30:"STRUCT_STOP",31:"REQUIREMENT",32:"FUNCTIONAL_REQUIREMENT",33:"INTERFACE_REQUIREMENT",34:"PERFORMANCE_REQUIREMENT",35:"PHYSICAL_REQUIREMENT",36:"DESIGN_CONSTRAINT",37:"LOW_RISK",38:"MED_RISK",39:"HIGH_RISK",40:"VERIFY_ANALYSIS",41:"VERIFY_DEMONSTRATION",42:"VERIFY_INSPECTION",43:"VERIFY_TEST",44:"ELEMENT",47:"TYPE",49:"DOCREF",51:"END_ARROW_L",53:"LINE",54:"END_ARROW_R",55:"CONTAINS",56:"COPIES",57:"DERIVES",58:"SATISFIES",59:"VERIFIES",60:"REFINES",61:"TRACES",62:"unqString",63:"qString"},productions_:[0,[3,3],[3,2],[3,4],[4,2],[4,2],[4,1],[7,0],[7,2],[7,2],[7,2],[7,2],[7,2],[14,5],[20,5],[20,5],[20,5],[20,5],[20,2],[20,1],[17,1],[17,1],[17,1],[17,1],[17,1],[17,1],[27,1],[27,1],[27,1],[29,1],[29,1],[29,1],[29,1],[15,5],[46,5],[46,5],[46,2],[46,1],[16,5],[16,5],[52,1],[52,1],[52,1],[52,1],[52,1],[52,1],[52,1],[18,1],[18,1],[23,1],[23,1],[25,1],[25,1],[45,1],[45,1],[48,1],[48,1],[50,1],[50,1]],performAction:function(Et,Gt,ln,xt,Pt,Qe,Dt){var kt=Qe.length-1;switch(Pt){case 4:this.$=Qe[kt].trim(),xt.setAccTitle(this.$);break;case 5:case 6:this.$=Qe[kt].trim(),xt.setAccDescription(this.$);break;case 7:this.$=[];break;case 13:xt.addRequirement(Qe[kt-3],Qe[kt-4]);break;case 14:xt.setNewReqId(Qe[kt-2]);break;case 15:xt.setNewReqText(Qe[kt-2]);break;case 16:xt.setNewReqRisk(Qe[kt-2]);break;case 17:xt.setNewReqVerifyMethod(Qe[kt-2]);break;case 20:this.$=xt.RequirementType.REQUIREMENT;break;case 21:this.$=xt.RequirementType.FUNCTIONAL_REQUIREMENT;break;case 22:this.$=xt.RequirementType.INTERFACE_REQUIREMENT;break;case 23:this.$=xt.RequirementType.PERFORMANCE_REQUIREMENT;break;case 24:this.$=xt.RequirementType.PHYSICAL_REQUIREMENT;break;case 25:this.$=xt.RequirementType.DESIGN_CONSTRAINT;break;case 26:this.$=xt.RiskLevel.LOW_RISK;break;case 27:this.$=xt.RiskLevel.MED_RISK;break;case 28:this.$=xt.RiskLevel.HIGH_RISK;break;case 29:this.$=xt.VerifyType.VERIFY_ANALYSIS;break;case 30:this.$=xt.VerifyType.VERIFY_DEMONSTRATION;break;case 31:this.$=xt.VerifyType.VERIFY_INSPECTION;break;case 32:this.$=xt.VerifyType.VERIFY_TEST;break;case 33:xt.addElement(Qe[kt-3]);break;case 34:xt.setNewElementType(Qe[kt-2]);break;case 35:xt.setNewElementDocRef(Qe[kt-2]);break;case 38:xt.addRelationship(Qe[kt-2],Qe[kt],Qe[kt-4]);break;case 39:xt.addRelationship(Qe[kt-2],Qe[kt-4],Qe[kt]);break;case 40:this.$=xt.Relationships.CONTAINS;break;case 41:this.$=xt.Relationships.COPIES;break;case 42:this.$=xt.Relationships.DERIVES;break;case 43:this.$=xt.Relationships.SATISFIES;break;case 44:this.$=xt.Relationships.VERIFIES;break;case 45:this.$=xt.Relationships.REFINES;break;case 46:this.$=xt.Relationships.TRACES;break}},table:[{3:1,4:2,6:s,9:u,11:d,13:p},{1:[3]},{3:8,4:2,5:[1,7],6:s,9:u,11:d,13:p},{5:[1,9]},{10:[1,10]},{12:[1,11]},i(v,[2,6]),{3:12,4:2,6:s,9:u,11:d,13:p},{1:[2,2]},{4:17,5:b,7:13,8:y,9:u,11:d,13:p,14:14,15:15,16:16,17:19,23:21,31:T,32:_,33:A,34:P,35:R,36:F,44:j,62:K,63:ee},i(v,[2,4]),i(v,[2,5]),{1:[2,1]},{8:[1,30]},{4:17,5:b,7:31,8:y,9:u,11:d,13:p,14:14,15:15,16:16,17:19,23:21,31:T,32:_,33:A,34:P,35:R,36:F,44:j,62:K,63:ee},{4:17,5:b,7:32,8:y,9:u,11:d,13:p,14:14,15:15,16:16,17:19,23:21,31:T,32:_,33:A,34:P,35:R,36:F,44:j,62:K,63:ee},{4:17,5:b,7:33,8:y,9:u,11:d,13:p,14:14,15:15,16:16,17:19,23:21,31:T,32:_,33:A,34:P,35:R,36:F,44:j,62:K,63:ee},{4:17,5:b,7:34,8:y,9:u,11:d,13:p,14:14,15:15,16:16,17:19,23:21,31:T,32:_,33:A,34:P,35:R,36:F,44:j,62:K,63:ee},{4:17,5:b,7:35,8:y,9:u,11:d,13:p,14:14,15:15,16:16,17:19,23:21,31:T,32:_,33:A,34:P,35:R,36:F,44:j,62:K,63:ee},{18:36,62:[1,37],63:[1,38]},{45:39,62:[1,40],63:[1,41]},{51:[1,42],53:[1,43]},i(ie,[2,20]),i(ie,[2,21]),i(ie,[2,22]),i(ie,[2,23]),i(ie,[2,24]),i(ie,[2,25]),i(oe,[2,49]),i(oe,[2,50]),{1:[2,3]},{8:[2,8]},{8:[2,9]},{8:[2,10]},{8:[2,11]},{8:[2,12]},{19:[1,44]},{19:[2,47]},{19:[2,48]},{19:[1,45]},{19:[2,53]},{19:[2,54]},{52:46,55:pe,56:be,57:ae,58:ne,59:se,60:de,61:X},{52:54,55:pe,56:be,57:ae,58:ne,59:se,60:de,61:X},{5:[1,55]},{5:[1,56]},{53:[1,57]},i(ge,[2,40]),i(ge,[2,41]),i(ge,[2,42]),i(ge,[2,43]),i(ge,[2,44]),i(ge,[2,45]),i(ge,[2,46]),{54:[1,58]},{5:W,20:59,21:xe,24:U,26:Fe,28:Pe,30:je},{5:Ie,30:Se,46:66,47:Ce,49:ke},{23:71,62:K,63:ee},{23:72,62:K,63:ee},i(Ke,[2,13]),{22:[1,73]},{22:[1,74]},{22:[1,75]},{22:[1,76]},{5:W,20:77,21:xe,24:U,26:Fe,28:Pe,30:je},i(Ke,[2,19]),i(Ke,[2,33]),{22:[1,78]},{22:[1,79]},{5:Ie,30:Se,46:80,47:Ce,49:ke},i(Ke,[2,37]),i(Ke,[2,38]),i(Ke,[2,39]),{23:81,62:K,63:ee},{25:82,62:[1,83],63:[1,84]},{27:85,37:[1,86],38:[1,87],39:[1,88]},{29:89,40:[1,90],41:[1,91],42:[1,92],43:[1,93]},i(Ke,[2,18]),{48:94,62:[1,95],63:[1,96]},{50:97,62:[1,98],63:[1,99]},i(Ke,[2,36]),{5:[1,100]},{5:[1,101]},{5:[2,51]},{5:[2,52]},{5:[1,102]},{5:[2,26]},{5:[2,27]},{5:[2,28]},{5:[1,103]},{5:[2,29]},{5:[2,30]},{5:[2,31]},{5:[2,32]},{5:[1,104]},{5:[2,55]},{5:[2,56]},{5:[1,105]},{5:[2,57]},{5:[2,58]},{5:W,20:106,21:xe,24:U,26:Fe,28:Pe,30:je},{5:W,20:107,21:xe,24:U,26:Fe,28:Pe,30:je},{5:W,20:108,21:xe,24:U,26:Fe,28:Pe,30:je},{5:W,20:109,21:xe,24:U,26:Fe,28:Pe,30:je},{5:Ie,30:Se,46:110,47:Ce,49:ke},{5:Ie,30:Se,46:111,47:Ce,49:ke},i(Ke,[2,14]),i(Ke,[2,15]),i(Ke,[2,16]),i(Ke,[2,17]),i(Ke,[2,34]),i(Ke,[2,35])],defaultActions:{8:[2,2],12:[2,1],30:[2,3],31:[2,8],32:[2,9],33:[2,10],34:[2,11],35:[2,12],37:[2,47],38:[2,48],40:[2,53],41:[2,54],83:[2,51],84:[2,52],86:[2,26],87:[2,27],88:[2,28],90:[2,29],91:[2,30],92:[2,31],93:[2,32],95:[2,55],96:[2,56],98:[2,57],99:[2,58]},parseError:function(Et,Gt){if(Gt.recoverable)this.trace(Et);else{var ln=new Error(Et);throw ln.hash=Gt,ln}},parse:function(Et){var Gt=this,ln=[0],xt=[],Pt=[null],Qe=[],Dt=this.table,kt="",On=0,ht=0,zr=2,yt=1,ji=Qe.slice.call(arguments,1),xi=Object.create(this.lexer),Ma={yy:{}};for(var zs in this.yy)Object.prototype.hasOwnProperty.call(this.yy,zs)&&(Ma.yy[zs]=this.yy[zs]);xi.setInput(Et,Ma.yy),Ma.yy.lexer=xi,Ma.yy.parser=this,typeof xi.yylloc>"u"&&(xi.yylloc={});var ao=xi.yylloc;Qe.push(ao);var Tr=xi.options&&xi.options.ranges;typeof Ma.yy.parseError=="function"?this.parseError=Ma.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;function Fn(){var Pa;return Pa=xt.pop()||xi.lex()||yt,typeof Pa!="number"&&(Pa instanceof Array&&(xt=Pa,Pa=xt.pop()),Pa=Gt.symbols_[Pa]||Pa),Pa}for(var qn,Un,At,wt,on={},fn,An,oo,jo;;){if(Un=ln[ln.length-1],this.defaultActions[Un]?At=this.defaultActions[Un]:((qn===null||typeof qn>"u")&&(qn=Fn()),At=Dt[Un]&&Dt[Un][qn]),typeof At>"u"||!At.length||!At[0]){var $o="";jo=[];for(fn in Dt[Un])this.terminals_[fn]&&fn>zr&&jo.push("'"+this.terminals_[fn]+"'");xi.showPosition?$o="Parse error on line "+(On+1)+`: +`+xi.showPosition()+` +Expecting `+jo.join(", ")+", got '"+(this.terminals_[qn]||qn)+"'":$o="Parse error on line "+(On+1)+": Unexpected "+(qn==yt?"end of input":"'"+(this.terminals_[qn]||qn)+"'"),this.parseError($o,{text:xi.match,token:this.terminals_[qn]||qn,line:xi.yylineno,loc:ao,expected:jo})}if(At[0]instanceof Array&&At.length>1)throw new Error("Parse Error: multiple actions possible at state: "+Un+", token: "+qn);switch(At[0]){case 1:ln.push(qn),Pt.push(xi.yytext),Qe.push(xi.yylloc),ln.push(At[1]),qn=null,ht=xi.yyleng,kt=xi.yytext,On=xi.yylineno,ao=xi.yylloc;break;case 2:if(An=this.productions_[At[1]][1],on.$=Pt[Pt.length-An],on._$={first_line:Qe[Qe.length-(An||1)].first_line,last_line:Qe[Qe.length-1].last_line,first_column:Qe[Qe.length-(An||1)].first_column,last_column:Qe[Qe.length-1].last_column},Tr&&(on._$.range=[Qe[Qe.length-(An||1)].range[0],Qe[Qe.length-1].range[1]]),wt=this.performAction.apply(on,[kt,ht,On,Ma.yy,At[1],Pt,Qe].concat(ji)),typeof wt<"u")return wt;An&&(ln=ln.slice(0,-1*An*2),Pt=Pt.slice(0,-1*An),Qe=Qe.slice(0,-1*An)),ln.push(this.productions_[At[1]][0]),Pt.push(on.$),Qe.push(on._$),oo=Dt[ln[ln.length-2]][ln[ln.length-1]],ln.push(oo);break;case 3:return!0}}return!0}},Ne=function(){var _t={EOF:1,parseError:function(Gt,ln){if(this.yy.parser)this.yy.parser.parseError(Gt,ln);else throw new Error(Gt)},setInput:function(Et,Gt){return this.yy=Gt||this.yy||{},this._input=Et,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var Et=this._input[0];this.yytext+=Et,this.yyleng++,this.offset++,this.match+=Et,this.matched+=Et;var Gt=Et.match(/(?:\r\n?|\n).*/g);return Gt?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),Et},unput:function(Et){var Gt=Et.length,ln=Et.split(/(?:\r\n?|\n)/g);this._input=Et+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-Gt),this.offset-=Gt;var xt=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),ln.length-1&&(this.yylineno-=ln.length-1);var Pt=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:ln?(ln.length===xt.length?this.yylloc.first_column:0)+xt[xt.length-ln.length].length-ln[0].length:this.yylloc.first_column-Gt},this.options.ranges&&(this.yylloc.range=[Pt[0],Pt[0]+this.yyleng-Gt]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){if(this.options.backtrack_lexer)this._backtrack=!0;else return this.parseError("Lexical error on line "+(this.yylineno+1)+`. You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true). +`+this.showPosition(),{text:"",token:null,line:this.yylineno});return this},less:function(Et){this.unput(this.match.slice(Et))},pastInput:function(){var Et=this.matched.substr(0,this.matched.length-this.match.length);return(Et.length>20?"...":"")+Et.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var Et=this.match;return Et.length<20&&(Et+=this._input.substr(0,20-Et.length)),(Et.substr(0,20)+(Et.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var Et=this.pastInput(),Gt=new Array(Et.length+1).join("-");return Et+this.upcomingInput()+` +`+Gt+"^"},test_match:function(Et,Gt){var ln,xt,Pt;if(this.options.backtrack_lexer&&(Pt={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(Pt.yylloc.range=this.yylloc.range.slice(0))),xt=Et[0].match(/(?:\r\n?|\n).*/g),xt&&(this.yylineno+=xt.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:xt?xt[xt.length-1].length-xt[xt.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+Et[0].length},this.yytext+=Et[0],this.match+=Et[0],this.matches=Et,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(Et[0].length),this.matched+=Et[0],ln=this.performAction.call(this,this.yy,this,Gt,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),ln)return ln;if(this._backtrack){for(var Qe in Pt)this[Qe]=Pt[Qe];return!1}return!1},next:function(){if(this.done)return this.EOF;this._input||(this.done=!0);var Et,Gt,ln,xt;this._more||(this.yytext="",this.match="");for(var Pt=this._currentRules(),Qe=0;QeGt[0].length)){if(Gt=ln,xt=Qe,this.options.backtrack_lexer){if(Et=this.test_match(ln,Pt[Qe]),Et!==!1)return Et;if(this._backtrack){Gt=!1;continue}else return!1}else if(!this.options.flex)break}return Gt?(Et=this.test_match(Gt,Pt[xt]),Et!==!1?Et:!1):this._input===""?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+`. Unrecognized text. +`+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var Gt=this.next();return Gt||this.lex()},begin:function(Gt){this.conditionStack.push(Gt)},popState:function(){var Gt=this.conditionStack.length-1;return Gt>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(Gt){return Gt=this.conditionStack.length-1-Math.abs(Gt||0),Gt>=0?this.conditionStack[Gt]:"INITIAL"},pushState:function(Gt){this.begin(Gt)},stateStackSize:function(){return this.conditionStack.length},options:{"case-insensitive":!0},performAction:function(Gt,ln,xt,Pt){switch(xt){case 0:return"title";case 1:return this.begin("acc_title"),9;case 2:return this.popState(),"acc_title_value";case 3:return this.begin("acc_descr"),11;case 4:return this.popState(),"acc_descr_value";case 5:this.begin("acc_descr_multiline");break;case 6:this.popState();break;case 7:return"acc_descr_multiline_value";case 8:return 5;case 9:break;case 10:break;case 11:break;case 12:return 8;case 13:return 6;case 14:return 19;case 15:return 30;case 16:return 22;case 17:return 21;case 18:return 24;case 19:return 26;case 20:return 28;case 21:return 31;case 22:return 32;case 23:return 33;case 24:return 34;case 25:return 35;case 26:return 36;case 27:return 37;case 28:return 38;case 29:return 39;case 30:return 40;case 31:return 41;case 32:return 42;case 33:return 43;case 34:return 44;case 35:return 55;case 36:return 56;case 37:return 57;case 38:return 58;case 39:return 59;case 40:return 60;case 41:return 61;case 42:return 47;case 43:return 49;case 44:return 51;case 45:return 54;case 46:return 53;case 47:this.begin("string");break;case 48:this.popState();break;case 49:return"qString";case 50:return 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.reqLabel{ + fill: ${i.requirementTextColor}; + } + .reqLabelBox { + fill: ${i.relationLabelBackground}; + fill-opacity: 1.0; + } + + .req-title-line { + stroke: ${i.requirementBorderColor}; + stroke-width: ${i.requirementBorderSize}; + } + .relationshipLine { + stroke: ${i.relationColor}; + stroke-width: 1; + } + .relationshipLabel { + fill: ${i.relationLabelColor}; + } + +`,wve={CONTAINS:"contains",ARROW:"arrow"},SGe={ReqMarkers:wve,insertLineEndings:(i,s)=>{let 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_=d.db.getRequirements(),A=d.db.getElements(),P=d.db.getRelationships();prn(_,T,y),brn(A,T,y),mrn(P,T),qD(T),vrn(y,T),P.forEach(function(ee){grn(y,ee,T,s,d)});const R=Tf.rect_padding,F=y.node().getBBox(),j=F.width+R*2,K=F.height+R*2;Ng(y,K,j,Tf.useMaxWidth),y.attr("viewBox",`${F.x-R} ${F.y-R} ${j} ${K}`)}},styles:frn}},Symbol.toStringTag,{value:"Module"}));var yve=function(){var i=function(xt,Pt,Qe,Dt){for(Qe=Qe||{},Dt=xt.length;Dt--;Qe[xt[Dt]]=Pt);return 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36:ht[yt-1].unshift({type:"optStart",optText:kt.parseMessage(ht[yt-2]),signalType:kt.LINETYPE.OPT_START}),ht[yt-1].push({type:"optEnd",optText:kt.parseMessage(ht[yt-2]),signalType:kt.LINETYPE.OPT_END}),this.$=ht[yt-1];break;case 37:ht[yt-1].unshift({type:"altStart",altText:kt.parseMessage(ht[yt-2]),signalType:kt.LINETYPE.ALT_START}),ht[yt-1].push({type:"altEnd",signalType:kt.LINETYPE.ALT_END}),this.$=ht[yt-1];break;case 38:ht[yt-1].unshift({type:"parStart",parText:kt.parseMessage(ht[yt-2]),signalType:kt.LINETYPE.PAR_START}),ht[yt-1].push({type:"parEnd",signalType:kt.LINETYPE.PAR_END}),this.$=ht[yt-1];break;case 39:ht[yt-1].unshift({type:"parStart",parText:kt.parseMessage(ht[yt-2]),signalType:kt.LINETYPE.PAR_OVER_START}),ht[yt-1].push({type:"parEnd",signalType:kt.LINETYPE.PAR_END}),this.$=ht[yt-1];break;case 40:ht[yt-1].unshift({type:"criticalStart",criticalText:kt.parseMessage(ht[yt-2]),signalType:kt.LINETYPE.CRITICAL_START}),ht[yt-1].push({type:"criticalEnd",signalType:kt.LINETYPE.CRITICAL_END}),this.$=ht[yt-1];break;case 41:ht[yt-1].unshift({type:"breakStart",breakText:kt.parseMessage(ht[yt-2]),signalType:kt.LINETYPE.BREAK_START}),ht[yt-1].push({type:"breakEnd",optText:kt.parseMessage(ht[yt-2]),signalType:kt.LINETYPE.BREAK_END}),this.$=ht[yt-1];break;case 43:this.$=ht[yt-3].concat([{type:"option",optionText:kt.parseMessage(ht[yt-1]),signalType:kt.LINETYPE.CRITICAL_OPTION},ht[yt]]);break;case 45:this.$=ht[yt-3].concat([{type:"and",parText:kt.parseMessage(ht[yt-1]),signalType:kt.LINETYPE.PAR_AND},ht[yt]]);break;case 47:this.$=ht[yt-3].concat([{type:"else",altText:kt.parseMessage(ht[yt-1]),signalType:kt.LINETYPE.ALT_ELSE},ht[yt]]);break;case 48:ht[yt-3].draw="participant",ht[yt-3].type="addParticipant",ht[yt-3].description=kt.parseMessage(ht[yt-1]),this.$=ht[yt-3];break;case 49:ht[yt-1].draw="participant",ht[yt-1].type="addParticipant",this.$=ht[yt-1];break;case 50:ht[yt-3].draw="actor",ht[yt-3].type="addParticipant",ht[yt-3].description=kt.parseMessage(ht[yt-1]),this.$=ht[yt-3];break;case 51:ht[yt-1].draw="actor",ht[yt-1].type="addParticipant",this.$=ht[yt-1];break;case 52:ht[yt-1].type="destroyParticipant",this.$=ht[yt-1];break;case 53:this.$=[ht[yt-1],{type:"addNote",placement:ht[yt-2],actor:ht[yt-1].actor,text:ht[yt]}];break;case 54:ht[yt-2]=[].concat(ht[yt-1],ht[yt-1]).slice(0,2),ht[yt-2][0]=ht[yt-2][0].actor,ht[yt-2][1]=ht[yt-2][1].actor,this.$=[ht[yt-1],{type:"addNote",placement:kt.PLACEMENT.OVER,actor:ht[yt-2].slice(0,2),text:ht[yt]}];break;case 55:this.$=[ht[yt-1],{type:"addLinks",actor:ht[yt-1].actor,text:ht[yt]}];break;case 56:this.$=[ht[yt-1],{type:"addALink",actor:ht[yt-1].actor,text:ht[yt]}];break;case 57:this.$=[ht[yt-1],{type:"addProperties",actor:ht[yt-1].actor,text:ht[yt]}];break;case 58:this.$=[ht[yt-1],{type:"addDetails",actor:ht[yt-1].actor,text:ht[yt]}];break;case 61:this.$=[ht[yt-2],ht[yt]];break;case 62:this.$=ht[yt];break;case 63:this.$=kt.PLACEMENT.LEFTOF;break;case 64:this.$=kt.PLACEMENT.RIGHTOF;break;case 65:this.$=[ht[yt-4],ht[yt-1],{type:"addMessage",from:ht[yt-4].actor,to:ht[yt-1].actor,signalType:ht[yt-3],msg:ht[yt],activate:!0},{type:"activeStart",signalType:kt.LINETYPE.ACTIVE_START,actor:ht[yt-1]}];break;case 66:this.$=[ht[yt-4],ht[yt-1],{type:"addMessage",from:ht[yt-4].actor,to:ht[yt-1].actor,signalType:ht[yt-3],msg:ht[yt]},{type:"activeEnd",signalType:kt.LINETYPE.ACTIVE_END,actor:ht[yt-4]}];break;case 67:this.$=[ht[yt-3],ht[yt-1],{type:"addMessage",from:ht[yt-3].actor,to:ht[yt-1].actor,signalType:ht[yt-2],msg:ht[yt]}];break;case 68:this.$={type:"addParticipant",actor:ht[yt]};break;case 69:this.$=kt.LINETYPE.SOLID_OPEN;break;case 70:this.$=kt.LINETYPE.DOTTED_OPEN;break;case 71:this.$=kt.LINETYPE.SOLID;break;case 72:this.$=kt.LINETYPE.DOTTED;break;case 73:this.$=kt.LINETYPE.SOLID_CROSS;break;case 74:this.$=kt.LINETYPE.DOTTED_CROSS;break;case 75:this.$=kt.LINETYPE.SOLID_POINT;break;case 76:this.$=kt.LINETYPE.DOTTED_POINT;break;case 77:this.$=kt.parseMessage(ht[yt].trim().substring(1));break}},table:[{3:1,4:s,5:u,6:d},{1:[3]},{3:5,4:s,5:u,6:d},{3:6,4:s,5:u,6:d},i([1,4,5,13,14,18,21,23,29,30,31,33,35,36,37,38,39,41,43,44,46,50,52,53,54,59,60,61,62,70],p,{7:7}),{1:[2,1]},{1:[2,2]},{1:[2,3],4:v,5:b,8:8,9:10,12:12,13:y,14:T,17:15,18:_,21:A,22:40,23:P,24:19,25:20,26:21,27:22,28:23,29:R,30:F,31:j,33:K,35:ee,36:ie,37:oe,38:pe,39:be,41:ae,43:ne,44:se,46:de,50:X,52:ge,53:W,54:xe,59:U,60:Fe,61:Pe,62:je,70:Ie},i(Se,[2,5]),{9:47,12:12,13:y,14:T,17:15,18:_,21:A,22:40,23:P,24:19,25:20,26:21,27:22,28:23,29:R,30:F,31:j,33:K,35:ee,36:ie,37:oe,38:pe,39:be,41:ae,43:ne,44:se,46:de,50:X,52:ge,53:W,54:xe,59:U,60:Fe,61:Pe,62:je,70:Ie},i(Se,[2,7]),i(Se,[2,8]),i(Se,[2,14]),{12:48,50:X,52:ge,53:W},{15:[1,49]},{5:[1,50]},{5:[1,53],19:[1,51],20:[1,52]},{22:54,70:Ie},{22:55,70:Ie},{5:[1,56]},{5:[1,57]},{5:[1,58]},{5:[1,59]},{5:[1,60]},i(Se,[2,29]),i(Se,[2,30]),{32:[1,61]},{34:[1,62]},i(Se,[2,33]),{15:[1,63]},{15:[1,64]},{15:[1,65]},{15:[1,66]},{15:[1,67]},{15:[1,68]},{15:[1,69]},{15:[1,70]},{22:71,70:Ie},{22:72,70:Ie},{22:73,70:Ie},{67:74,71:[1,75],72:[1,76],73:[1,77],74:[1,78],75:[1,79],76:[1,80],77:[1,81],78:[1,82]},{55:83,57:[1,84],65:[1,85],66:[1,86]},{22:87,70:Ie},{22:88,70:Ie},{22:89,70:Ie},{22:90,70:Ie},i([5,51,64,71,72,73,74,75,76,77,78,79],[2,68]),i(Se,[2,6]),i(Se,[2,15]),i(Ce,[2,9],{10:91}),i(Se,[2,17]),{5:[1,93],19:[1,92]},{5:[1,94]},i(Se,[2,21]),{5:[1,95]},{5:[1,96]},i(Se,[2,24]),i(Se,[2,25]),i(Se,[2,26]),i(Se,[2,27]),i(Se,[2,28]),i(Se,[2,31]),i(Se,[2,32]),i(ke,p,{7:97}),i(ke,p,{7:98}),i(ke,p,{7:99}),i(Ke,p,{40:100,7:101}),i(Ft,p,{42:102,7:103}),i(Ft,p,{7:103,42:104}),i(Ne,p,{45:105,7:106}),i(ke,p,{7:107}),{5:[1,109],51:[1,108]},{5:[1,111],51:[1,110]},{5:[1,112]},{22:115,68:[1,113],69:[1,114],70:Ie},i(gn,[2,69]),i(gn,[2,70]),i(gn,[2,71]),i(gn,[2,72]),i(gn,[2,73]),i(gn,[2,74]),i(gn,[2,75]),i(gn,[2,76]),{22:116,70:Ie},{22:118,58:117,70:Ie},{70:[2,63]},{70:[2,64]},{56:119,79:_t},{56:121,79:_t},{56:122,79:_t},{56:123,79:_t},{4:[1,126],5:[1,128],11:125,12:127,16:[1,124],50:X,52:ge,53:W},{5:[1,129]},i(Se,[2,19]),i(Se,[2,20]),i(Se,[2,22]),i(Se,[2,23]),{4:v,5:b,8:8,9:10,12:12,13:y,14:T,16:[1,130],17:15,18:_,21:A,22:40,23:P,24:19,25:20,26:21,27:22,28:23,29:R,30:F,31:j,33:K,35:ee,36:ie,37:oe,38:pe,39:be,41:ae,43:ne,44:se,46:de,50:X,52:ge,53:W,54:xe,59:U,60:Fe,61:Pe,62:je,70:Ie},{4:v,5:b,8:8,9:10,12:12,13:y,14:T,16:[1,131],17:15,18:_,21:A,22:40,23:P,24:19,25:20,26:21,27:22,28:23,29:R,30:F,31:j,33:K,35:ee,36:ie,37:oe,38:pe,39:be,41:ae,43:ne,44:se,46:de,50:X,52:ge,53:W,54:xe,59:U,60:Fe,61:Pe,62:je,70:Ie},{4:v,5:b,8:8,9:10,12:12,13:y,14:T,16:[1,132],17:15,18:_,21:A,22:40,23:P,24:19,25:20,26:21,27:22,28:23,29:R,30:F,31:j,33:K,35:ee,36:ie,37:oe,38:pe,39:be,41:ae,43:ne,44:se,46:de,50:X,52:ge,53:W,54:xe,59:U,60:Fe,61:Pe,62:je,70:Ie},{16:[1,133]},{4:v,5:b,8:8,9:10,12:12,13:y,14:T,16:[2,46],17:15,18:_,21:A,22:40,23:P,24:19,25:20,26:21,27:22,28:23,29:R,30:F,31:j,33:K,35:ee,36:ie,37:oe,38:pe,39:be,41:ae,43:ne,44:se,46:de,49:[1,134],50:X,52:ge,53:W,54:xe,59:U,60:Fe,61:Pe,62:je,70:Ie},{16:[1,135]},{4:v,5:b,8:8,9:10,12:12,13:y,14:T,16:[2,44],17:15,18:_,21:A,22:40,23:P,24:19,25:20,26:21,27:22,28:23,29:R,30:F,31:j,33:K,35:ee,36:ie,37:oe,38:pe,39:be,41:ae,43:ne,44:se,46:de,48:[1,136],50:X,52:ge,53:W,54:xe,59:U,60:Fe,61:Pe,62:je,70:Ie},{16:[1,137]},{16:[1,138]},{4:v,5:b,8:8,9:10,12:12,13:y,14:T,16:[2,42],17:15,18:_,21:A,22:40,23:P,24:19,25:20,26:21,27:22,28:23,29:R,30:F,31:j,33:K,35:ee,36:ie,37:oe,38:pe,39:be,41:ae,43:ne,44:se,46:de,47:[1,139],50:X,52:ge,53:W,54:xe,59:U,60:Fe,61:Pe,62:je,70:Ie},{4:v,5:b,8:8,9:10,12:12,13:y,14:T,16:[1,140],17:15,18:_,21:A,22:40,23:P,24:19,25:20,26:21,27:22,28:23,29:R,30:F,31:j,33:K,35:ee,36:ie,37:oe,38:pe,39:be,41:ae,43:ne,44:se,46:de,50:X,52:ge,53:W,54:xe,59:U,60:Fe,61:Pe,62:je,70:Ie},{15:[1,141]},i(Se,[2,49]),{15:[1,142]},i(Se,[2,51]),i(Se,[2,52]),{22:143,70:Ie},{22:144,70:Ie},{56:145,79:_t},{56:146,79:_t},{56:147,79:_t},{64:[1,148],79:[2,62]},{5:[2,55]},{5:[2,77]},{5:[2,56]},{5:[2,57]},{5:[2,58]},i(Se,[2,16]),i(Ce,[2,10]),{12:149,50:X,52:ge,53:W},i(Ce,[2,12]),i(Ce,[2,13]),i(Se,[2,18]),i(Se,[2,34]),i(Se,[2,35]),i(Se,[2,36]),i(Se,[2,37]),{15:[1,150]},i(Se,[2,38]),{15:[1,151]},i(Se,[2,39]),i(Se,[2,40]),{15:[1,152]},i(Se,[2,41]),{5:[1,153]},{5:[1,154]},{56:155,79:_t},{56:156,79:_t},{5:[2,67]},{5:[2,53]},{5:[2,54]},{22:157,70:Ie},i(Ce,[2,11]),i(Ke,p,{7:101,40:158}),i(Ft,p,{7:103,42:159}),i(Ne,p,{7:106,45:160}),i(Se,[2,48]),i(Se,[2,50]),{5:[2,65]},{5:[2,66]},{79:[2,61]},{16:[2,47]},{16:[2,45]},{16:[2,43]}],defaultActions:{5:[2,1],6:[2,2],85:[2,63],86:[2,64],119:[2,55],120:[2,77],121:[2,56],122:[2,57],123:[2,58],145:[2,67],146:[2,53],147:[2,54],155:[2,65],156:[2,66],157:[2,61],158:[2,47],159:[2,45],160:[2,43]},parseError:function(Pt,Qe){if(Qe.recoverable)this.trace(Pt);else{var Dt=new Error(Pt);throw Dt.hash=Qe,Dt}},parse:function(Pt){var Qe=this,Dt=[0],kt=[],On=[null],ht=[],zr=this.table,yt="",ji=0,xi=0,Ma=2,zs=1,ao=ht.slice.call(arguments,1),Tr=Object.create(this.lexer),Fn={yy:{}};for(var qn in this.yy)Object.prototype.hasOwnProperty.call(this.yy,qn)&&(Fn.yy[qn]=this.yy[qn]);Tr.setInput(Pt,Fn.yy),Fn.yy.lexer=Tr,Fn.yy.parser=this,typeof Tr.yylloc>"u"&&(Tr.yylloc={});var Un=Tr.yylloc;ht.push(Un);var At=Tr.options&&Tr.options.ranges;typeof Fn.yy.parseError=="function"?this.parseError=Fn.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;function wt(){var da;return da=kt.pop()||Tr.lex()||zs,typeof da!="number"&&(da instanceof Array&&(kt=da,da=kt.pop()),da=Qe.symbols_[da]||da),da}for(var on,fn,An,oo,jo={},$o,Pa,wo,_s;;){if(fn=Dt[Dt.length-1],this.defaultActions[fn]?An=this.defaultActions[fn]:((on===null||typeof on>"u")&&(on=wt()),An=zr[fn]&&zr[fn][on]),typeof An>"u"||!An.length||!An[0]){var tl="";_s=[];for($o in zr[fn])this.terminals_[$o]&&$o>Ma&&_s.push("'"+this.terminals_[$o]+"'");Tr.showPosition?tl="Parse error on line "+(ji+1)+`: +`+Tr.showPosition()+` +Expecting `+_s.join(", ")+", got '"+(this.terminals_[on]||on)+"'":tl="Parse error on line "+(ji+1)+": Unexpected "+(on==zs?"end of input":"'"+(this.terminals_[on]||on)+"'"),this.parseError(tl,{text:Tr.match,token:this.terminals_[on]||on,line:Tr.yylineno,loc:Un,expected:_s})}if(An[0]instanceof Array&&An.length>1)throw new Error("Parse Error: multiple actions possible at state: "+fn+", token: "+on);switch(An[0]){case 1:Dt.push(on),On.push(Tr.yytext),ht.push(Tr.yylloc),Dt.push(An[1]),on=null,xi=Tr.yyleng,yt=Tr.yytext,ji=Tr.yylineno,Un=Tr.yylloc;break;case 2:if(Pa=this.productions_[An[1]][1],jo.$=On[On.length-Pa],jo._$={first_line:ht[ht.length-(Pa||1)].first_line,last_line:ht[ht.length-1].last_line,first_column:ht[ht.length-(Pa||1)].first_column,last_column:ht[ht.length-1].last_column},At&&(jo._$.range=[ht[ht.length-(Pa||1)].range[0],ht[ht.length-1].range[1]]),oo=this.performAction.apply(jo,[yt,xi,ji,Fn.yy,An[1],On,ht].concat(ao)),typeof oo<"u")return oo;Pa&&(Dt=Dt.slice(0,-1*Pa*2),On=On.slice(0,-1*Pa),ht=ht.slice(0,-1*Pa)),Dt.push(this.productions_[An[1]][0]),On.push(jo.$),ht.push(jo._$),wo=zr[Dt[Dt.length-2]][Dt[Dt.length-1]],Dt.push(wo);break;case 3:return!0}}return!0}},Gt=function(){var xt={EOF:1,parseError:function(Qe,Dt){if(this.yy.parser)this.yy.parser.parseError(Qe,Dt);else throw new Error(Qe)},setInput:function(Pt,Qe){return this.yy=Qe||this.yy||{},this._input=Pt,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var Pt=this._input[0];this.yytext+=Pt,this.yyleng++,this.offset++,this.match+=Pt,this.matched+=Pt;var Qe=Pt.match(/(?:\r\n?|\n).*/g);return Qe?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),Pt},unput:function(Pt){var Qe=Pt.length,Dt=Pt.split(/(?:\r\n?|\n)/g);this._input=Pt+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-Qe),this.offset-=Qe;var kt=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),Dt.length-1&&(this.yylineno-=Dt.length-1);var On=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:Dt?(Dt.length===kt.length?this.yylloc.first_column:0)+kt[kt.length-Dt.length].length-Dt[0].length:this.yylloc.first_column-Qe},this.options.ranges&&(this.yylloc.range=[On[0],On[0]+this.yyleng-Qe]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){if(this.options.backtrack_lexer)this._backtrack=!0;else return this.parseError("Lexical error on line "+(this.yylineno+1)+`. You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true). +`+this.showPosition(),{text:"",token:null,line:this.yylineno});return this},less:function(Pt){this.unput(this.match.slice(Pt))},pastInput:function(){var Pt=this.matched.substr(0,this.matched.length-this.match.length);return(Pt.length>20?"...":"")+Pt.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var Pt=this.match;return Pt.length<20&&(Pt+=this._input.substr(0,20-Pt.length)),(Pt.substr(0,20)+(Pt.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var Pt=this.pastInput(),Qe=new Array(Pt.length+1).join("-");return Pt+this.upcomingInput()+` +`+Qe+"^"},test_match:function(Pt,Qe){var Dt,kt,On;if(this.options.backtrack_lexer&&(On={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(On.yylloc.range=this.yylloc.range.slice(0))),kt=Pt[0].match(/(?:\r\n?|\n).*/g),kt&&(this.yylineno+=kt.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:kt?kt[kt.length-1].length-kt[kt.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+Pt[0].length},this.yytext+=Pt[0],this.match+=Pt[0],this.matches=Pt,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(Pt[0].length),this.matched+=Pt[0],Dt=this.performAction.call(this,this.yy,this,Qe,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),Dt)return Dt;if(this._backtrack){for(var ht in On)this[ht]=On[ht];return!1}return!1},next:function(){if(this.done)return this.EOF;this._input||(this.done=!0);var Pt,Qe,Dt,kt;this._more||(this.yytext="",this.match="");for(var On=this._currentRules(),ht=0;htQe[0].length)){if(Qe=Dt,kt=ht,this.options.backtrack_lexer){if(Pt=this.test_match(Dt,On[ht]),Pt!==!1)return Pt;if(this._backtrack){Qe=!1;continue}else return!1}else if(!this.options.flex)break}return Qe?(Pt=this.test_match(Qe,On[kt]),Pt!==!1?Pt:!1):this._input===""?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+`. Unrecognized text. +`+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var Qe=this.next();return Qe||this.lex()},begin:function(Qe){this.conditionStack.push(Qe)},popState:function(){var Qe=this.conditionStack.length-1;return Qe>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(Qe){return Qe=this.conditionStack.length-1-Math.abs(Qe||0),Qe>=0?this.conditionStack[Qe]:"INITIAL"},pushState:function(Qe){this.begin(Qe)},stateStackSize:function(){return this.conditionStack.length},options:{"case-insensitive":!0},performAction:function(Qe,Dt,kt,On){switch(kt){case 0:return 5;case 1:break;case 2:break;case 3:break;case 4:break;case 5:break;case 6:return 19;case 7:return this.begin("LINE"),14;case 8:return this.begin("ID"),50;case 9:return this.begin("ID"),52;case 10:return 13;case 11:return this.begin("ID"),53;case 12:return Dt.yytext=Dt.yytext.trim(),this.begin("ALIAS"),70;case 13:return this.popState(),this.popState(),this.begin("LINE"),51;case 14:return this.popState(),this.popState(),5;case 15:return this.begin("LINE"),36;case 16:return this.begin("LINE"),37;case 17:return this.begin("LINE"),38;case 18:return this.begin("LINE"),39;case 19:return this.begin("LINE"),49;case 20:return this.begin("LINE"),41;case 21:return this.begin("LINE"),43;case 22:return this.begin("LINE"),48;case 23:return this.begin("LINE"),44;case 24:return this.begin("LINE"),47;case 25:return this.begin("LINE"),46;case 26:return this.popState(),15;case 27:return 16;case 28:return 65;case 29:return 66;case 30:return 59;case 31:return 60;case 32:return 61;case 33:return 62;case 34:return 57;case 35:return 54;case 36:return this.begin("ID"),21;case 37:return this.begin("ID"),23;case 38:return 29;case 39:return 30;case 40:return this.begin("acc_title"),31;case 41:return this.popState(),"acc_title_value";case 42:return this.begin("acc_descr"),33;case 43:return this.popState(),"acc_descr_value";case 44:this.begin("acc_descr_multiline");break;case 45:this.popState();break;case 46:return"acc_descr_multiline_value";case 47:return 6;case 48:return 18;case 49:return 20;case 50:return 64;case 51:return 5;case 52:return Dt.yytext=Dt.yytext.trim(),70;case 53:return 73;case 54:return 74;case 55:return 71;case 56:return 72;case 57:return 75;case 58:return 76;case 59:return 77;case 60:return 78;case 61:return 79;case 62:return 68;case 63:return 69;case 64:return 5;case 65:return"INVALID"}},rules:[/^(?:[\n]+)/i,/^(?:\s+)/i,/^(?:((?!\n)\s)+)/i,/^(?:#[^\n]*)/i,/^(?:%(?!\{)[^\n]*)/i,/^(?:[^\}]%%[^\n]*)/i,/^(?:[0-9]+(?=[ \n]+))/i,/^(?:box\b)/i,/^(?:participant\b)/i,/^(?:actor\b)/i,/^(?:create\b)/i,/^(?:destroy\b)/i,/^(?:[^\->:\n,;]+?([\-]*[^\->:\n,;]+?)*?(?=((?!\n)\s)+as(?!\n)\s|[#\n;]|$))/i,/^(?:as\b)/i,/^(?:(?:))/i,/^(?:loop\b)/i,/^(?:rect\b)/i,/^(?:opt\b)/i,/^(?:alt\b)/i,/^(?:else\b)/i,/^(?:par\b)/i,/^(?:par_over\b)/i,/^(?:and\b)/i,/^(?:critical\b)/i,/^(?:option\b)/i,/^(?:break\b)/i,/^(?:(?:[:]?(?:no)?wrap)?[^#\n;]*)/i,/^(?:end\b)/i,/^(?:left of\b)/i,/^(?:right of\b)/i,/^(?:links\b)/i,/^(?:link\b)/i,/^(?:properties\b)/i,/^(?:details\b)/i,/^(?:over\b)/i,/^(?:note\b)/i,/^(?:activate\b)/i,/^(?:deactivate\b)/i,/^(?:title\s[^#\n;]+)/i,/^(?:title:\s[^#\n;]+)/i,/^(?:accTitle\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*\{\s*)/i,/^(?:[\}])/i,/^(?:[^\}]*)/i,/^(?:sequenceDiagram\b)/i,/^(?:autonumber\b)/i,/^(?:off\b)/i,/^(?:,)/i,/^(?:;)/i,/^(?:[^\+\->:\n,;]+((?!(-x|--x|-\)|--\)))[\-]*[^\+\->:\n,;]+)*)/i,/^(?:->>)/i,/^(?:-->>)/i,/^(?:->)/i,/^(?:-->)/i,/^(?:-[x])/i,/^(?:--[x])/i,/^(?:-[\)])/i,/^(?:--[\)])/i,/^(?::(?:(?:no)?wrap)?[^#\n;]+)/i,/^(?:\+)/i,/^(?:-)/i,/^(?:$)/i,/^(?:.)/i],conditions:{acc_descr_multiline:{rules:[45,46],inclusive:!1},acc_descr:{rules:[43],inclusive:!1},acc_title:{rules:[41],inclusive:!1},ID:{rules:[2,3,12],inclusive:!1},ALIAS:{rules:[2,3,13,14],inclusive:!1},LINE:{rules:[2,3,26],inclusive:!1},INITIAL:{rules:[0,1,3,4,5,6,7,8,9,10,11,15,16,17,18,19,20,21,22,23,24,25,27,28,29,30,31,32,33,34,35,36,37,38,39,40,42,44,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65],inclusive:!0}}};return xt}();Et.lexer=Gt;function ln(){this.yy={}}return ln.prototype=Et,Et.Parser=ln,new ln}();yve.parser=yve;const yrn=yve;class xrn{constructor(s){this.init=s,this.records=this.init()}reset(){this.records=this.init()}}const Ds=new xrn(()=>({prevActor:void 0,actors:{},createdActors:{},destroyedActors:{},boxes:[],messages:[],notes:[],sequenceNumbersEnabled:!1,wrapEnabled:void 0,currentBox:void 0,lastCreated:void 0,lastDestroyed:void 0})),krn=function(i){Ds.records.boxes.push({name:i.text,wrap:i.wrap===void 0&&JC()||!!i.wrap,fill:i.color,actorKeys:[]}),Ds.records.currentBox=Ds.records.boxes.slice(-1)[0]},xve=function(i,s,u,d){let p=Ds.records.currentBox;const v=Ds.records.actors[i];if(v){if(Ds.records.currentBox&&v.box&&Ds.records.currentBox!==v.box)throw new Error("A same participant should only be defined in one Box: "+v.name+" can't be in '"+v.box.name+"' and in '"+Ds.records.currentBox.name+"' at the same time.");if(p=v.box?v.box:Ds.records.currentBox,v.box=p,v&&s===v.name&&u==null)return}(u==null||u.text==null)&&(u={text:s,wrap:null,type:d}),(d==null||u.text==null)&&(u={text:s,wrap:null,type:d}),Ds.records.actors[i]={box:p,name:s,description:u.text,wrap:u.wrap===void 0&&JC()||!!u.wrap,prevActor:Ds.records.prevActor,links:{},properties:{},actorCnt:null,rectData:null,type:d||"participant"},Ds.records.prevActor&&Ds.records.actors[Ds.records.prevActor]&&(Ds.records.actors[Ds.records.prevActor].nextActor=i),Ds.records.currentBox&&Ds.records.currentBox.actorKeys.push(i),Ds.records.prevActor=i},Ern=i=>{let s,u=0;for(s=0;s>-",token:"->>-",line:"1",loc:{first_line:1,last_line:1,first_column:1,last_column:1},expected:["'ACTIVE_PARTICIPANT'"]},b}return Ds.records.messages.push({from:i,to:s,message:u.text,wrap:u.wrap===void 0&&JC()||!!u.wrap,type:d,activate:p}),!0},Crn=function(){return Ds.records.boxes.length>0},Srn=function(){return Ds.records.boxes.some(i=>i.name)},_rn=function(){return Ds.records.messages},Arn=function(){return Ds.records.boxes},Lrn=function(){return Ds.records.actors},Mrn=function(){return Ds.records.createdActors},Drn=function(){return Ds.records.destroyedActors},GR=function(i){return Ds.records.actors[i]},Irn=function(){return Object.keys(Ds.records.actors)},Orn=function(){Ds.records.sequenceNumbersEnabled=!0},Nrn=function(){Ds.records.sequenceNumbersEnabled=!1},Prn=()=>Ds.records.sequenceNumbersEnabled,Brn=function(i){Ds.records.wrapEnabled=i},JC=()=>Ds.records.wrapEnabled!==void 0?Ds.records.wrapEnabled:qt().sequence.wrap,Frn=function(){Ds.reset(),Pg()},Rrn=function(i){const s=i.trim(),u={text:s.replace(/^:?(?:no)?wrap:/,"").trim(),wrap:s.match(/^:?wrap:/)!==null?!0:s.match(/^:?nowrap:/)!==null?!1:void 0};return Xe.debug("parseMessage:",u),u},jrn=function(i){const s=i.match(/^((?:rgba?|hsla?)\s*\(.*\)|\w*)(.*)$/);let u=s!=null&&s[1]?s[1].trim():"transparent",d=s!=null&&s[2]?s[2].trim():void 0;if(window&&window.CSS)window.CSS.supports("color",u)||(u="transparent",d=i.trim());else{const p=new Option().style;p.color=u,p.color!==u&&(u="transparent",d=i.trim())}return{color:u,text:d!==void 0?Yf(d.replace(/^:?(?:no)?wrap:/,""),qt()):void 0,wrap:d!==void 0?d.match(/^:?wrap:/)!==null?!0:d.match(/^:?nowrap:/)!==null?!1:void 0:void 0}},KR={SOLID:0,DOTTED:1,NOTE:2,SOLID_CROSS:3,DOTTED_CROSS:4,SOLID_OPEN:5,DOTTED_OPEN:6,LOOP_START:10,LOOP_END:11,ALT_START:12,ALT_ELSE:13,ALT_END:14,OPT_START:15,OPT_END:16,ACTIVE_START:17,ACTIVE_END:18,PAR_START:19,PAR_AND:20,PAR_END:21,RECT_START:22,RECT_END:23,SOLID_POINT:24,DOTTED_POINT:25,AUTONUMBER:26,CRITICAL_START:27,CRITICAL_OPTION:28,CRITICAL_END:29,BREAK_START:30,BREAK_END:31,PAR_OVER_START:32},$rn={FILLED:0,OPEN:1},zrn={LEFTOF:0,RIGHTOF:1,OVER:2},DGe=function(i,s,u){const d={actor:i,placement:s,message:u.text,wrap:u.wrap===void 0&&JC()||!!u.wrap},p=[].concat(i,i);Ds.records.notes.push(d),Ds.records.messages.push({from:p[0],to:p[1],message:u.text,wrap:u.wrap===void 0&&JC()||!!u.wrap,type:KR.NOTE,placement:s})},IGe=function(i,s){const u=GR(i);try{let d=Yf(s.text,qt());d=d.replace(/&/g,"&"),d=d.replace(/=/g,"=");const p=JSON.parse(d);kve(u,p)}catch(d){Xe.error("error while parsing actor link text",d)}},qrn=function(i,s){const u=GR(i);try{const b={};let y=Yf(s.text,qt());var d=y.indexOf("@");y=y.replace(/&/g,"&"),y=y.replace(/=/g,"=");var p=y.slice(0,d-1).trim(),v=y.slice(d+1).trim();b[p]=v,kve(u,b)}catch(b){Xe.error("error while parsing actor link text",b)}};function kve(i,s){if(i.links==null)i.links=s;else for(let u in s)i.links[u]=s[u]}const OGe=function(i,s){const u=GR(i);try{let d=Yf(s.text,qt());const p=JSON.parse(d);NGe(u,p)}catch(d){Xe.error("error while parsing actor properties text",d)}};function NGe(i,s){if(i.properties==null)i.properties=s;else for(let u in s)i.properties[u]=s[u]}function Hrn(){Ds.records.currentBox=void 0}const PGe=function(i,s){const u=GR(i),d=document.getElementById(s.text);try{const p=d.innerHTML,v=JSON.parse(p);v.properties&&NGe(u,v.properties),v.links&&kve(u,v.links)}catch(p){Xe.error("error while parsing actor details text",p)}},Vrn=function(i,s){if(i!==void 0&&i.properties!==void 0)return i.properties[s]},BGe=function(i){if(Array.isArray(i))i.forEach(function(s){BGe(s)});else switch(i.type){case"sequenceIndex":Ds.records.messages.push({from:void 0,to:void 0,message:{start:i.sequenceIndex,step:i.sequenceIndexStep,visible:i.sequenceVisible},wrap:!1,type:i.signalType});break;case"addParticipant":xve(i.actor,i.actor,i.description,i.draw);break;case"createParticipant":if(Ds.records.actors[i.actor])throw new Error("It is not possible to have actors with the same id, even if one is destroyed before the next is created. Use 'AS' aliases to simulate the behavior");Ds.records.lastCreated=i.actor,xve(i.actor,i.actor,i.description,i.draw),Ds.records.createdActors[i.actor]=Ds.records.messages.length;break;case"destroyParticipant":Ds.records.lastDestroyed=i.actor,Ds.records.destroyedActors[i.actor]=Ds.records.messages.length;break;case"activeStart":Jf(i.actor,void 0,void 0,i.signalType);break;case"activeEnd":Jf(i.actor,void 0,void 0,i.signalType);break;case"addNote":DGe(i.actor,i.placement,i.text);break;case"addLinks":IGe(i.actor,i.text);break;case"addALink":qrn(i.actor,i.text);break;case"addProperties":OGe(i.actor,i.text);break;case"addDetails":PGe(i.actor,i.text);break;case"addMessage":if(Ds.records.lastCreated){if(i.to!==Ds.records.lastCreated)throw new Error("The created participant "+Ds.records.lastCreated+" does not have an associated creating message after its declaration. Please check the sequence diagram.");Ds.records.lastCreated=void 0}else if(Ds.records.lastDestroyed){if(i.to!==Ds.records.lastDestroyed&&i.from!==Ds.records.lastDestroyed)throw new Error("The destroyed participant "+Ds.records.lastDestroyed+" does not have an associated destroying message after its declaration. Please check the sequence diagram.");Ds.records.lastDestroyed=void 0}Jf(i.from,i.to,i.msg,i.signalType,i.activate);break;case"boxStart":krn(i.boxData);break;case"boxEnd":Hrn();break;case"loopStart":Jf(void 0,void 0,i.loopText,i.signalType);break;case"loopEnd":Jf(void 0,void 0,void 0,i.signalType);break;case"rectStart":Jf(void 0,void 0,i.color,i.signalType);break;case"rectEnd":Jf(void 0,void 0,void 0,i.signalType);break;case"optStart":Jf(void 0,void 0,i.optText,i.signalType);break;case"optEnd":Jf(void 0,void 0,void 0,i.signalType);break;case"altStart":Jf(void 0,void 0,i.altText,i.signalType);break;case"else":Jf(void 0,void 0,i.altText,i.signalType);break;case"altEnd":Jf(void 0,void 0,void 0,i.signalType);break;case"setAccTitle":Bg(i.text);break;case"parStart":Jf(void 0,void 0,i.parText,i.signalType);break;case"and":Jf(void 0,void 0,i.parText,i.signalType);break;case"parEnd":Jf(void 0,void 0,void 0,i.signalType);break;case"criticalStart":Jf(void 0,void 0,i.criticalText,i.signalType);break;case"option":Jf(void 0,void 0,i.optionText,i.signalType);break;case"criticalEnd":Jf(void 0,void 0,void 0,i.signalType);break;case"breakStart":Jf(void 0,void 0,i.breakText,i.signalType);break;case"breakEnd":Jf(void 0,void 0,void 0,i.signalType);break}},FGe={addActor:xve,addMessage:Trn,addSignal:Jf,addLinks:IGe,addDetails:PGe,addProperties:OGe,autoWrap:JC,setWrap:Brn,enableSequenceNumbers:Orn,disableSequenceNumbers:Nrn,showSequenceNumbers:Prn,getMessages:_rn,getActors:Lrn,getCreatedActors:Mrn,getDestroyedActors:Drn,getActor:GR,getActorKeys:Irn,getActorProperty:Vrn,getAccTitle:Cp,getBoxes:Arn,getDiagramTitle:Ap,setDiagramTitle:cm,getConfig:()=>qt().sequence,clear:Frn,parseMessage:Rrn,parseBoxData:jrn,LINETYPE:KR,ARROWTYPE:$rn,PLACEMENT:zrn,addNote:DGe,setAccTitle:Bg,apply:BGe,setAccDescription:Sp,getAccDescription:_p,hasAtLeastOneBox:Crn,hasAtLeastOneBoxWithTitle:Srn},Urn=i=>`.actor { + stroke: ${i.actorBorder}; + fill: ${i.actorBkg}; + } + + text.actor > tspan { + fill: ${i.actorTextColor}; + stroke: none; + } + + .actor-line { + stroke: ${i.actorLineColor}; + } + + .messageLine0 { + stroke-width: 1.5; + stroke-dasharray: none; + stroke: ${i.signalColor}; + } + + .messageLine1 { + stroke-width: 1.5; + stroke-dasharray: 2, 2; + stroke: ${i.signalColor}; + } + + #arrowhead path { + fill: ${i.signalColor}; + stroke: ${i.signalColor}; + } + + .sequenceNumber { + fill: ${i.sequenceNumberColor}; + } + + #sequencenumber { + fill: ${i.signalColor}; + } + + #crosshead path { + fill: ${i.signalColor}; + stroke: ${i.signalColor}; + } + + .messageText { + fill: ${i.signalTextColor}; + stroke: none; + } + + .labelBox { + stroke: ${i.labelBoxBorderColor}; + fill: ${i.labelBoxBkgColor}; + } + + .labelText, .labelText > tspan { + fill: ${i.labelTextColor}; + stroke: none; + } + + .loopText, .loopText > tspan { + fill: ${i.loopTextColor}; + stroke: none; + } + + .loopLine { + stroke-width: 2px; + stroke-dasharray: 2, 2; + stroke: ${i.labelBoxBorderColor}; + fill: ${i.labelBoxBorderColor}; + } + + .note { + //stroke: #decc93; + stroke: ${i.noteBorderColor}; + fill: ${i.noteBkgColor}; + } + + .noteText, .noteText > tspan { + fill: ${i.noteTextColor}; + stroke: none; + } + + .activation0 { + fill: ${i.activationBkgColor}; + stroke: ${i.activationBorderColor}; + } + + .activation1 { + fill: ${i.activationBkgColor}; + stroke: ${i.activationBorderColor}; + } + + .activation2 { + fill: ${i.activationBkgColor}; + stroke: ${i.activationBorderColor}; + } + + .actorPopupMenu { + position: absolute; + } + + .actorPopupMenuPanel { + position: absolute; + fill: ${i.actorBkg}; + box-shadow: 0px 8px 16px 0px rgba(0,0,0,0.2); + filter: drop-shadow(3px 5px 2px rgb(0 0 0 / 0.4)); +} + .actor-man line { + stroke: ${i.actorBorder}; + fill: ${i.actorBkg}; + } + .actor-man circle, line { + stroke: ${i.actorBorder}; + fill: ${i.actorBkg}; + stroke-width: 2px; + } +`,ZC=18*2,RGe="actor-top",jGe="actor-bottom",Eve=function(i,s){return AQ(i,s)},Grn=function(i,s,u,d,p){if(s.links===void 0||s.links===null||Object.keys(s.links).length===0)return{height:0,width:0};const v=s.links,b=s.actorCnt,y=s.rectData;var T="none";p&&(T="block !important");const _=i.append("g");_.attr("id","actor"+b+"_popup"),_.attr("class","actorPopupMenu"),_.attr("display",T);var A="";y.class!==void 0&&(A=" "+y.class);let P=y.width>u?y.width:u;const R=_.append("rect");if(R.attr("class","actorPopupMenuPanel"+A),R.attr("x",y.x),R.attr("y",y.height),R.attr("fill",y.fill),R.attr("stroke",y.stroke),R.attr("width",P),R.attr("height",y.height),R.attr("rx",y.rx),R.attr("ry",y.ry),v!=null){var F=20;for(let ee in v){var j=_.append("a"),K=p9.sanitizeUrl(v[ee]);j.attr("xlink:href",K),j.attr("target","_blank"),uin(d)(ee,j,y.x+10,y.height+F,P,20,{class:"actor"},d),F+=30}}return R.attr("height",F),{height:y.height+F,width:P}},Krn=function(i){return"var pu = document.getElementById('"+i+"'); if (pu != null) { pu.style.display = pu.style.display == 'block' ? 'none' : 'block'; }"},pJ=async function(i,s,u=null){let d=i.append("foreignObject");const p=await CC(s.text,Vh()),b=d.append("xhtml:div").attr("style","width: fit-content;").attr("xmlns","http://www.w3.org/1999/xhtml").html(p).node().getBoundingClientRect();if(d.attr("height",Math.round(b.height)).attr("width",Math.round(b.width)),s.class==="noteText"){const y=i.node().firstChild;y.setAttribute("height",b.height+2*s.textMargin);const T=y.getBBox();d.attr("x",Math.round(T.x+T.width/2-b.width/2)).attr("y",Math.round(T.y+T.height/2-b.height/2))}else if(u){let{startx:y,stopx:T,starty:_}=u;if(y>T){const A=y;y=T,T=A}d.attr("x",Math.round(y+Math.abs(y-T)/2-b.width/2)),s.class==="loopText"?d.attr("y",Math.round(_)):d.attr("y",Math.round(_-b.height))}return[d]},YD=function(i,s){let u=0,d=0;const p=s.text.split(li.lineBreakRegex),[v,b]=NC(s.fontSize);let y=[],T=0,_=()=>s.y;if(s.valign!==void 0&&s.textMargin!==void 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A=p.sequenceItems.length-v+1;p.updateVal(_,"starty",s-A*En.boxMargin,Math.min),p.updateVal(_,"stopy",d+A*En.boxMargin,Math.max),p.updateVal(ni.data,"startx",i-A*En.boxMargin,Math.min),p.updateVal(ni.data,"stopx",u+A*En.boxMargin,Math.max),y!=="activation"&&(p.updateVal(_,"startx",i-A*En.boxMargin,Math.min),p.updateVal(_,"stopx",u+A*En.boxMargin,Math.max),p.updateVal(ni.data,"starty",s-A*En.boxMargin,Math.min),p.updateVal(ni.data,"stopy",d+A*En.boxMargin,Math.max))}}this.sequenceItems.forEach(b()),this.activations.forEach(b("activation"))},insert:function(i,s,u,d){const p=li.getMin(i,u),v=li.getMax(i,u),b=li.getMin(s,d),y=li.getMax(s,d);this.updateVal(ni.data,"startx",p,Math.min),this.updateVal(ni.data,"starty",b,Math.min),this.updateVal(ni.data,"stopx",v,Math.max),this.updateVal(ni.data,"stopy",y,Math.max),this.updateBounds(p,b,v,y)},newActivation:function(i,s,u){const d=u[i.from.actor],p=bJ(i.from.actor).length||0,v=d.x+d.width/2+(p-1)*En.activationWidth/2;this.activations.push({startx:v,starty:this.verticalPos+2,stopx:v+En.activationWidth,stopy:void 0,actor:i.from.actor,anchored:Zf.anchorElement(s)})},endActivation:function(i){const s=this.activations.map(function(u){return u.actor}).lastIndexOf(i.from.actor);return this.activations.splice(s,1)[0]},createLoop:function(i={message:void 0,wrap:!1,width:void 0},s){return{startx:void 0,starty:this.verticalPos,stopx:void 0,stopy:void 0,title:i.message,wrap:i.wrap,width:i.width,height:0,fill:s}},newLoop:function(i={message:void 0,wrap:!1,width:void 0},s){this.sequenceItems.push(this.createLoop(i,s))},endLoop:function(){return this.sequenceItems.pop()},isLoopOverlap:function(){return this.sequenceItems.length?this.sequenceItems[this.sequenceItems.length-1].overlap:!1},addSectionToLoop:function(i){const s=this.sequenceItems.pop();s.sections=s.sections||[],s.sectionTitles=s.sectionTitles||[],s.sections.push({y:ni.getVerticalPos(),height:0}),s.sectionTitles.push(i),this.sequenceItems.push(s)},saveVerticalPos:function(){this.isLoopOverlap()&&(this.savedVerticalPos=this.verticalPos)},resetVerticalPos:function(){this.isLoopOverlap()&&(this.verticalPos=this.savedVerticalPos)},bumpVerticalPos:function(i){this.verticalPos=this.verticalPos+i,this.data.stopy=li.getMax(this.data.stopy,this.verticalPos)},getVerticalPos:function(){return this.verticalPos},getBounds:function(){return{bounds:this.data,models:this.models}}},lin=async function(i,s){ni.bumpVerticalPos(En.boxMargin),s.height=En.boxMargin,s.starty=ni.getVerticalPos();const u=qC();u.x=s.startx,u.y=s.starty,u.width=s.width||En.width,u.class="note";const d=i.append("g"),p=Zf.drawRect(d,u),v=zbe();v.x=s.startx,v.y=s.starty,v.width=u.width,v.dy="1em",v.text=s.message,v.class="noteText",v.fontFamily=En.noteFontFamily,v.fontSize=En.noteFontSize,v.fontWeight=En.noteFontWeight,v.anchor=En.noteAlign,v.textMargin=En.noteMargin,v.valign="center";const b=Dv(v.text)?await pJ(d,v):YD(d,v),y=Math.round(b.map(T=>(T._groups||T)[0][0].getBBox().height).reduce((T,_)=>T+_));p.attr("height",y+2*En.noteMargin),s.height+=y+2*En.noteMargin,ni.bumpVerticalPos(y+2*En.noteMargin),s.stopy=s.starty+y+2*En.noteMargin,s.stopx=s.startx+u.width,ni.insert(s.startx,s.starty,s.stopx,s.stopy),ni.models.addNote(s)},eS=i=>({fontFamily:i.messageFontFamily,fontSize:i.messageFontSize,fontWeight:i.messageFontWeight}),XD=i=>({fontFamily:i.noteFontFamily,fontSize:i.noteFontSize,fontWeight:i.noteFontWeight}),Cve=i=>({fontFamily:i.actorFontFamily,fontSize:i.actorFontSize,fontWeight:i.actorFontWeight});async function hin(i,s){ni.bumpVerticalPos(10);const{startx:u,stopx:d,message:p}=s,v=li.splitBreaks(p).length,b=Dv(p),y=b?await HF(p,qt()):Ao.calculateTextDimensions(p,eS(En));if(!b){const P=y.height/v;s.height+=P,ni.bumpVerticalPos(P)}let T,_=y.height-10;const A=y.width;if(u===d){T=ni.getVerticalPos()+_,En.rightAngles||(_+=En.boxMargin,T=ni.getVerticalPos()+_),_+=30;const P=li.getMax(A/2,En.width/2);ni.insert(u-P,ni.getVerticalPos()-10+_,d+P,ni.getVerticalPos()+30+_)}else _+=En.boxMargin,T=ni.getVerticalPos()+_,ni.insert(u,T-10,d,T);return ni.bumpVerticalPos(_),s.height+=_,s.stopy=s.starty+s.height,ni.insert(s.fromBounds,s.starty,s.toBounds,s.stopy),T}const fin=async function(i,s,u,d){const{startx:p,stopx:v,starty:b,message:y,type:T,sequenceIndex:_,sequenceVisible:A}=s,P=Ao.calculateTextDimensions(y,eS(En)),R=zbe();R.x=p,R.y=b+10,R.width=v-p,R.class="messageText",R.dy="1em",R.text=y,R.fontFamily=En.messageFontFamily,R.fontSize=En.messageFontSize,R.fontWeight=En.messageFontWeight,R.anchor=En.messageAlign,R.valign="center",R.textMargin=En.wrapPadding,R.tspan=!1,Dv(R.text)?await pJ(i,R,{startx:p,stopx:v,starty:u}):YD(i,R);const F=P.width;let j;p===v?En.rightAngles?j=i.append("path").attr("d",`M ${p},${u} H ${p+li.getMax(En.width/2,F/2)} V ${u+25} H ${p}`):j=i.append("path").attr("d","M "+p+","+u+" C "+(p+60)+","+(u-10)+" "+(p+60)+","+(u+30)+" "+p+","+(u+20)):(j=i.append("line"),j.attr("x1",p),j.attr("y1",u),j.attr("x2",v),j.attr("y2",u)),T===d.db.LINETYPE.DOTTED||T===d.db.LINETYPE.DOTTED_CROSS||T===d.db.LINETYPE.DOTTED_POINT||T===d.db.LINETYPE.DOTTED_OPEN?(j.style("stroke-dasharray","3, 3"),j.attr("class","messageLine1")):j.attr("class","messageLine0");let K="";En.arrowMarkerAbsolute&&(K=window.location.protocol+"//"+window.location.host+window.location.pathname+window.location.search,K=K.replace(/\(/g,"\\("),K=K.replace(/\)/g,"\\)")),j.attr("stroke-width",2),j.attr("stroke","none"),j.style("fill","none"),(T===d.db.LINETYPE.SOLID||T===d.db.LINETYPE.DOTTED)&&j.attr("marker-end","url("+K+"#arrowhead)"),(T===d.db.LINETYPE.SOLID_POINT||T===d.db.LINETYPE.DOTTED_POINT)&&j.attr("marker-end","url("+K+"#filled-head)"),(T===d.db.LINETYPE.SOLID_CROSS||T===d.db.LINETYPE.DOTTED_CROSS)&&j.attr("marker-end","url("+K+"#crosshead)"),(A||En.showSequenceNumbers)&&(j.attr("marker-start","url("+K+"#sequencenumber)"),i.append("text").attr("x",p).attr("y",u+4).attr("font-family","sans-serif").attr("font-size","12px").attr("text-anchor","middle").attr("class","sequenceNumber").text(_))},din=async function(i,s,u,d,p,v,b){let y=0,T=0,_,A=0;for(const P of d){const R=s[P],F=R.box;_&&_!=F&&(b||ni.models.addBox(_),T+=En.boxMargin+_.margin),F&&F!=_&&(b||(F.x=y+T,F.y=p),T+=F.margin),R.width=R.width||En.width,R.height=li.getMax(R.height||En.height,En.height),R.margin=R.margin||En.actorMargin,A=li.getMax(A,R.height),u[R.name]&&(T+=R.width/2),R.x=y+T,R.starty=ni.getVerticalPos(),ni.insert(R.x,p,R.x+R.width,R.height),y+=R.width+T,R.box&&(R.box.width=y+F.margin-R.box.x),T=R.margin,_=R.box,ni.models.addActor(R)}_&&!b&&ni.models.addBox(_),ni.bumpVerticalPos(A)},Sve=async function(i,s,u,d){if(d){let p=0;ni.bumpVerticalPos(En.boxMargin*2);for(const v of u){const b=s[v];b.stopy||(b.stopy=ni.getVerticalPos());const y=await Zf.drawActor(i,b,En,!0);p=li.getMax(p,y)}ni.bumpVerticalPos(p+En.boxMargin)}else for(const p of u){const v=s[p];await Zf.drawActor(i,v,En,!1)}},VGe=function(i,s,u,d){let p=0,v=0;for(const b of u){const y=s[b],T=min(y),_=Zf.drawPopup(i,y,T,En,En.forceMenus,d);_.height>p&&(p=_.height),_.width+y.x>v&&(v=_.width+y.x)}return{maxHeight:p,maxWidth:v}},UGe=function(i){id(En,i),i.fontFamily&&(En.actorFontFamily=En.noteFontFamily=En.messageFontFamily=i.fontFamily),i.fontSize&&(En.actorFontSize=En.noteFontSize=En.messageFontSize=i.fontSize),i.fontWeight&&(En.actorFontWeight=En.noteFontWeight=En.messageFontWeight=i.fontWeight)},bJ=function(i){return ni.activations.filter(function(s){return s.actor===i})},GGe=function(i,s){const u=s[i],d=bJ(i),p=d.reduce(function(b,y){return li.getMin(b,y.startx)},u.x+u.width/2-1),v=d.reduce(function(b,y){return li.getMax(b,y.stopx)},u.x+u.width/2+1);return[p,v]};function a5(i,s,u,d,p){ni.bumpVerticalPos(u);let v=d;if(s.id&&s.message&&i[s.id]){const b=i[s.id].width,y=eS(En);s.message=Ao.wrapLabel(`[${s.message}]`,b-2*En.wrapPadding,y),s.width=b,s.wrap=!0;const T=Ao.calculateTextDimensions(s.message,y),_=li.getMax(T.height,En.labelBoxHeight);v=d+_,Xe.debug(`${_} - ${s.message}`)}p(s),ni.bumpVerticalPos(v)}function gin(i,s,u,d,p,v,b){function y(_,A){_.x{Se.add(Ce.from),Se.add(Ce.to)}),j=j.filter(Ce=>Se.has(Ce))}await din(_,A,P,j,0,K,!1);const be=await xin(K,A,pe,d);Zf.insertArrowHead(_),Zf.insertArrowCrossHead(_),Zf.insertArrowFilledHead(_),Zf.insertSequenceNumber(_);function ae(Se,Ce){const ke=ni.endActivation(Se);ke.starty+18>Ce&&(ke.starty=Ce-6,Ce+=12),Zf.drawActivation(_,ke,Ce,En,bJ(Se.from.actor).length),ni.insert(ke.startx,Ce-10,ke.stopx,Ce)}let ne=1,se=1;const de=[],X=[];let ge=0;for(const Se of K){let Ce,ke,Ke;switch(Se.type){case d.db.LINETYPE.NOTE:ni.resetVerticalPos(),ke=Se.noteModel,await lin(_,ke);break;case d.db.LINETYPE.ACTIVE_START:ni.newActivation(Se,_,A);break;case d.db.LINETYPE.ACTIVE_END:ae(Se,ni.getVerticalPos());break;case d.db.LINETYPE.LOOP_START:a5(be,Se,En.boxMargin,En.boxMargin+En.boxTextMargin,Ft=>ni.newLoop(Ft));break;case d.db.LINETYPE.LOOP_END:Ce=ni.endLoop(),await Zf.drawLoop(_,Ce,"loop",En),ni.bumpVerticalPos(Ce.stopy-ni.getVerticalPos()),ni.models.addLoop(Ce);break;case d.db.LINETYPE.RECT_START:a5(be,Se,En.boxMargin,En.boxMargin,Ft=>ni.newLoop(void 0,Ft.message));break;case d.db.LINETYPE.RECT_END:Ce=ni.endLoop(),X.push(Ce),ni.models.addLoop(Ce),ni.bumpVerticalPos(Ce.stopy-ni.getVerticalPos());break;case d.db.LINETYPE.OPT_START:a5(be,Se,En.boxMargin,En.boxMargin+En.boxTextMargin,Ft=>ni.newLoop(Ft));break;case d.db.LINETYPE.OPT_END:Ce=ni.endLoop(),await Zf.drawLoop(_,Ce,"opt",En),ni.bumpVerticalPos(Ce.stopy-ni.getVerticalPos()),ni.models.addLoop(Ce);break;case d.db.LINETYPE.ALT_START:a5(be,Se,En.boxMargin,En.boxMargin+En.boxTextMargin,Ft=>ni.newLoop(Ft));break;case d.db.LINETYPE.ALT_ELSE:a5(be,Se,En.boxMargin+En.boxTextMargin,En.boxMargin,Ft=>ni.addSectionToLoop(Ft));break;case d.db.LINETYPE.ALT_END:Ce=ni.endLoop(),await Zf.drawLoop(_,Ce,"alt",En),ni.bumpVerticalPos(Ce.stopy-ni.getVerticalPos()),ni.models.addLoop(Ce);break;case d.db.LINETYPE.PAR_START:case d.db.LINETYPE.PAR_OVER_START:a5(be,Se,En.boxMargin,En.boxMargin+En.boxTextMargin,Ft=>ni.newLoop(Ft)),ni.saveVerticalPos();break;case d.db.LINETYPE.PAR_AND:a5(be,Se,En.boxMargin+En.boxTextMargin,En.boxMargin,Ft=>ni.addSectionToLoop(Ft));break;case d.db.LINETYPE.PAR_END:Ce=ni.endLoop(),await Zf.drawLoop(_,Ce,"par",En),ni.bumpVerticalPos(Ce.stopy-ni.getVerticalPos()),ni.models.addLoop(Ce);break;case d.db.LINETYPE.AUTONUMBER:ne=Se.message.start||ne,se=Se.message.step||se,Se.message.visible?d.db.enableSequenceNumbers():d.db.disableSequenceNumbers();break;case d.db.LINETYPE.CRITICAL_START:a5(be,Se,En.boxMargin,En.boxMargin+En.boxTextMargin,Ft=>ni.newLoop(Ft));break;case d.db.LINETYPE.CRITICAL_OPTION:a5(be,Se,En.boxMargin+En.boxTextMargin,En.boxMargin,Ft=>ni.addSectionToLoop(Ft));break;case d.db.LINETYPE.CRITICAL_END:Ce=ni.endLoop(),await Zf.drawLoop(_,Ce,"critical",En),ni.bumpVerticalPos(Ce.stopy-ni.getVerticalPos()),ni.models.addLoop(Ce);break;case d.db.LINETYPE.BREAK_START:a5(be,Se,En.boxMargin,En.boxMargin+En.boxTextMargin,Ft=>ni.newLoop(Ft));break;case d.db.LINETYPE.BREAK_END:Ce=ni.endLoop(),await Zf.drawLoop(_,Ce,"break",En),ni.bumpVerticalPos(Ce.stopy-ni.getVerticalPos()),ni.models.addLoop(Ce);break;default:try{Ke=Se.msgModel,Ke.starty=ni.getVerticalPos(),Ke.sequenceIndex=ne,Ke.sequenceVisible=d.db.showSequenceNumbers();const Ft=await hin(_,Ke);gin(Se,Ke,Ft,ge,A,P,R),de.push({messageModel:Ke,lineStartY:Ft}),ni.models.addMessage(Ke)}catch(Ft){Xe.error("error while drawing message",Ft)}}[d.db.LINETYPE.SOLID_OPEN,d.db.LINETYPE.DOTTED_OPEN,d.db.LINETYPE.SOLID,d.db.LINETYPE.DOTTED,d.db.LINETYPE.SOLID_CROSS,d.db.LINETYPE.DOTTED_CROSS,d.db.LINETYPE.SOLID_POINT,d.db.LINETYPE.DOTTED_POINT].includes(Se.type)&&(ne=ne+se),ge++}Xe.debug("createdActors",P),Xe.debug("destroyedActors",R),await Sve(_,A,j,!1);for(const Se of de)await fin(_,Se.messageModel,Se.lineStartY,d);En.mirrorActors&&await Sve(_,A,j,!0),X.forEach(Se=>Zf.drawBackgroundRect(_,Se)),zGe(_,A,j,En);for(const Se of ni.models.boxes)Se.height=ni.getVerticalPos()-Se.y,ni.insert(Se.x,Se.y,Se.x+Se.width,Se.height),Se.startx=Se.x,Se.starty=Se.y,Se.stopx=Se.startx+Se.width,Se.stopy=Se.starty+Se.height,Se.stroke="rgb(0,0,0, 0.5)",await Zf.drawBox(_,Se,En);ie&&ni.bumpVerticalPos(En.boxMargin);const W=VGe(_,A,j,T),{bounds:xe}=ni.getBounds();let U=xe.stopy-xe.starty;U{const b=eS(En);let y=v.actorKeys.reduce((A,P)=>A+=i[P].width+(i[P].margin||0),0);y-=2*En.boxTextMargin,v.wrap&&(v.name=Ao.wrapLabel(v.name,y-2*En.wrapPadding,b));const T=Ao.calculateTextDimensions(v.name,b);p=li.getMax(T.height,p);const _=li.getMax(y,T.width+2*En.wrapPadding);if(v.margin=En.boxTextMargin,y<_){const A=(_-y)/2;v.margin+=A}}),u.forEach(v=>v.textMaxHeight=p),li.getMax(d,En.height)}const win=async function(i,s,u){const d=s[i.from].x,p=s[i.to].x,v=i.wrap&&i.message;let b=Dv(i.message)?await HF(i.message,qt()):Ao.calculateTextDimensions(v?Ao.wrapLabel(i.message,En.width,XD(En)):i.message,XD(En));const y={width:v?En.width:li.getMax(En.width,b.width+2*En.noteMargin),height:0,startx:s[i.from].x,stopx:0,starty:0,stopy:0,message:i.message};return i.placement===u.db.PLACEMENT.RIGHTOF?(y.width=v?li.getMax(En.width,b.width):li.getMax(s[i.from].width/2+s[i.to].width/2,b.width+2*En.noteMargin),y.startx=d+(s[i.from].width+En.actorMargin)/2):i.placement===u.db.PLACEMENT.LEFTOF?(y.width=v?li.getMax(En.width,b.width+2*En.noteMargin):li.getMax(s[i.from].width/2+s[i.to].width/2,b.width+2*En.noteMargin),y.startx=d-y.width+(s[i.from].width-En.actorMargin)/2):i.to===i.from?(b=Ao.calculateTextDimensions(v?Ao.wrapLabel(i.message,li.getMax(En.width,s[i.from].width),XD(En)):i.message,XD(En)),y.width=v?li.getMax(En.width,s[i.from].width):li.getMax(s[i.from].width,En.width,b.width+2*En.noteMargin),y.startx=d+(s[i.from].width-y.width)/2):(y.width=Math.abs(d+s[i.from].width/2-(p+s[i.to].width/2))+En.actorMargin,y.startx=d2,P=K=>y?-K:K;i.from===i.to?_=T:(i.activate&&!A&&(_+=P(En.activationWidth/2-1)),[u.db.LINETYPE.SOLID_OPEN,u.db.LINETYPE.DOTTED_OPEN].includes(i.type)||(_+=P(3)));const R=[d,p,v,b],F=Math.abs(T-_);i.wrap&&i.message&&(i.message=Ao.wrapLabel(i.message,li.getMax(F+2*En.wrapPadding,En.width),eS(En)));const j=Ao.calculateTextDimensions(i.message,eS(En));return{width:li.getMax(i.wrap?0:j.width+2*En.wrapPadding,F+2*En.wrapPadding,En.width),height:0,startx:T,stopx:_,starty:0,stopy:0,message:i.message,type:i.type,wrap:i.wrap,fromBounds:Math.min.apply(null,R),toBounds:Math.max.apply(null,R)}},xin=async function(i,s,u,d){const p={},v=[];let b,y,T;for(const _ of i){switch(_.id=Ao.random({length:10}),_.type){case d.db.LINETYPE.LOOP_START:case d.db.LINETYPE.ALT_START:case d.db.LINETYPE.OPT_START:case d.db.LINETYPE.PAR_START:case d.db.LINETYPE.PAR_OVER_START:case d.db.LINETYPE.CRITICAL_START:case d.db.LINETYPE.BREAK_START:v.push({id:_.id,msg:_.message,from:Number.MAX_SAFE_INTEGER,to:Number.MIN_SAFE_INTEGER,width:0});break;case d.db.LINETYPE.ALT_ELSE:case d.db.LINETYPE.PAR_AND:case d.db.LINETYPE.CRITICAL_OPTION:_.message&&(b=v.pop(),p[b.id]=b,p[_.id]=b,v.push(b));break;case d.db.LINETYPE.LOOP_END:case d.db.LINETYPE.ALT_END:case d.db.LINETYPE.OPT_END:case d.db.LINETYPE.PAR_END:case d.db.LINETYPE.CRITICAL_END:case d.db.LINETYPE.BREAK_END:b=v.pop(),p[b.id]=b;break;case d.db.LINETYPE.ACTIVE_START:{const P=s[_.from?_.from.actor:_.to.actor],R=bJ(_.from?_.from.actor:_.to.actor).length,F=P.x+P.width/2+(R-1)*En.activationWidth/2,j={startx:F,stopx:F+En.activationWidth,actor:_.from.actor,enabled:!0};ni.activations.push(j)}break;case d.db.LINETYPE.ACTIVE_END:{const P=ni.activations.map(R=>R.actor).lastIndexOf(_.from.actor);delete ni.activations.splice(P,1)[0]}break}_.placement!==void 0?(y=await win(_,s,d),_.noteModel=y,v.forEach(P=>{b=P,b.from=li.getMin(b.from,y.startx),b.to=li.getMax(b.to,y.startx+y.width),b.width=li.getMax(b.width,Math.abs(b.from-b.to))-En.labelBoxWidth})):(T=yin(_,s,d),_.msgModel=T,T.startx&&T.stopx&&v.length>0&&v.forEach(P=>{if(b=P,T.startx===T.stopx){const R=s[_.from],F=s[_.to];b.from=li.getMin(R.x-T.width/2,R.x-R.width/2,b.from),b.to=li.getMax(F.x+T.width/2,F.x+R.width/2,b.to),b.width=li.getMax(b.width,Math.abs(b.to-b.from))-En.labelBoxWidth}else b.from=li.getMin(T.startx,b.from),b.to=li.getMax(T.stopx,b.to),b.width=li.getMax(b.width,T.width)-En.labelBoxWidth}))}return ni.activations=[],Xe.debug("Loop type widths:",p),p},kin=Object.freeze(Object.defineProperty({__proto__:null,diagram:{parser:yrn,db:FGe,renderer:{bounds:ni,drawActors:Sve,drawActorsPopup:VGe,setConf:UGe,draw:pin},styles:Urn,init:({wrap:i})=>{FGe.setWrap(i)}}},Symbol.toStringTag,{value:"Module"}));var _ve=function(){var i=function(ao,Tr,Fn,qn){for(Fn=Fn||{},qn=ao.length;qn--;Fn[ao[qn]]=Tr);return Fn},s=[1,17],u=[1,18],d=[1,19],p=[1,39],v=[1,40],b=[1,25],y=[1,23],T=[1,24],_=[1,31],A=[1,32],P=[1,33],R=[1,34],F=[1,35],j=[1,36],K=[1,26],ee=[1,27],ie=[1,28],oe=[1,29],pe=[1,43],be=[1,30],ae=[1,42],ne=[1,44],se=[1,41],de=[1,45],X=[1,9],ge=[1,8,9],W=[1,56],xe=[1,57],U=[1,58],Fe=[1,59],Pe=[1,60],je=[1,61],Ie=[1,62],Se=[1,8,9,39],Ce=[1,74],ke=[1,8,9,12,13,21,37,39,42,59,60,61,62,63,64,65,70,72],Ke=[1,8,9,12,13,19,21,37,39,42,46,59,60,61,62,63,64,65,70,72,74,80,95,97,98],Ft=[13,74,80,95,97,98],Ne=[13,64,65,74,80,95,97,98],gn=[13,59,60,61,62,63,74,80,95,97,98],_t=[1,93],Et=[1,110],Gt=[1,108],ln=[1,102],xt=[1,103],Pt=[1,104],Qe=[1,105],Dt=[1,106],kt=[1,107],On=[1,109],ht=[1,8,9,37,39,42],zr=[1,8,9,21],yt=[1,8,9,78],ji=[1,8,9,21,73,74,78,80,81,82,83,84,85],xi={trace:function(){},yy:{},symbols_:{error:2,start:3,mermaidDoc:4,statements:5,graphConfig:6,CLASS_DIAGRAM:7,NEWLINE:8,EOF:9,statement:10,classLabel:11,SQS:12,STR:13,SQE:14,namespaceName:15,alphaNumToken:16,className:17,classLiteralName:18,GENERICTYPE:19,relationStatement:20,LABEL:21,namespaceStatement:22,classStatement:23,memberStatement:24,annotationStatement:25,clickStatement:26,styleStatement:27,cssClassStatement:28,noteStatement:29,direction:30,acc_title:31,acc_title_value:32,acc_descr:33,acc_descr_value:34,acc_descr_multiline_value:35,namespaceIdentifier:36,STRUCT_START:37,classStatements:38,STRUCT_STOP:39,NAMESPACE:40,classIdentifier:41,STYLE_SEPARATOR:42,members:43,CLASS:44,ANNOTATION_START:45,ANNOTATION_END:46,MEMBER:47,SEPARATOR:48,relation:49,NOTE_FOR:50,noteText:51,NOTE:52,direction_tb:53,direction_bt:54,direction_rl:55,direction_lr:56,relationType:57,lineType:58,AGGREGATION:59,EXTENSION:60,COMPOSITION:61,DEPENDENCY:62,LOLLIPOP:63,LINE:64,DOTTED_LINE:65,CALLBACK:66,LINK:67,LINK_TARGET:68,CLICK:69,CALLBACK_NAME:70,CALLBACK_ARGS:71,HREF:72,STYLE:73,ALPHA:74,stylesOpt:75,CSSCLASS:76,style:77,COMMA:78,styleComponent:79,NUM:80,COLON:81,UNIT:82,SPACE:83,BRKT:84,PCT:85,commentToken:86,textToken:87,graphCodeTokens:88,textNoTagsToken:89,TAGSTART:90,TAGEND:91,"==":92,"--":93,DEFAULT:94,MINUS:95,keywords:96,UNICODE_TEXT:97,BQUOTE_STR:98,$accept:0,$end:1},terminals_:{2:"error",7:"CLASS_DIAGRAM",8:"NEWLINE",9:"EOF",12:"SQS",13:"STR",14:"SQE",19:"GENERICTYPE",21:"LABEL",31:"acc_title",32:"acc_title_value",33:"acc_descr",34:"acc_descr_value",35:"acc_descr_multiline_value",37:"STRUCT_START",39:"STRUCT_STOP",40:"NAMESPACE",42:"STYLE_SEPARATOR",44:"CLASS",45:"ANNOTATION_START",46:"ANNOTATION_END",47:"MEMBER",48:"SEPARATOR",50:"NOTE_FOR",52:"NOTE",53:"direction_tb",54:"direction_bt",55:"direction_rl",56:"direction_lr",59:"AGGREGATION",60:"EXTENSION",61:"COMPOSITION",62:"DEPENDENCY",63:"LOLLIPOP",64:"LINE",65:"DOTTED_LINE",66:"CALLBACK",67:"LINK",68:"LINK_TARGET",69:"CLICK",70:"CALLBACK_NAME",71:"CALLBACK_ARGS",72:"HREF",73:"STYLE",74:"ALPHA",76:"CSSCLASS",78:"COMMA",80:"NUM",81:"COLON",82:"UNIT",83:"SPACE",84:"BRKT",85:"PCT",88:"graphCodeTokens",90:"TAGSTART",91:"TAGEND",92:"==",93:"--",94:"DEFAULT",95:"MINUS",96:"keywords",97:"UNICODE_TEXT",98:"BQUOTE_STR"},productions_:[0,[3,1],[3,1],[4,1],[6,4],[5,1],[5,2],[5,3],[11,3],[15,1],[15,2],[17,1],[17,1],[17,2],[17,2],[17,2],[10,1],[10,2],[10,1],[10,1],[10,1],[10,1],[10,1],[10,1],[10,1],[10,1],[10,1],[10,2],[10,2],[10,1],[22,4],[22,5],[36,2],[38,1],[38,2],[38,3],[23,1],[23,3],[23,4],[23,6],[41,2],[41,3],[25,4],[43,1],[43,2],[24,1],[24,2],[24,1],[24,1],[20,3],[20,4],[20,4],[20,5],[29,3],[29,2],[30,1],[30,1],[30,1],[30,1],[49,3],[49,2],[49,2],[49,1],[57,1],[57,1],[57,1],[57,1],[57,1],[58,1],[58,1],[26,3],[26,4],[26,3],[26,4],[26,4],[26,5],[26,3],[26,4],[26,4],[26,5],[26,4],[26,5],[26,5],[26,6],[27,3],[28,3],[75,1],[75,3],[77,1],[77,2],[79,1],[79,1],[79,1],[79,1],[79,1],[79,1],[79,1],[79,1],[79,1],[86,1],[86,1],[87,1],[87,1],[87,1],[87,1],[87,1],[87,1],[87,1],[89,1],[89,1],[89,1],[89,1],[16,1],[16,1],[16,1],[16,1],[18,1],[51,1]],performAction:function(Tr,Fn,qn,Un,At,wt,on){var fn=wt.length-1;switch(At){case 8:this.$=wt[fn-1];break;case 9:case 11:case 12:this.$=wt[fn];break;case 10:case 13:this.$=wt[fn-1]+wt[fn];break;case 14:case 15:this.$=wt[fn-1]+"~"+wt[fn]+"~";break;case 16:Un.addRelation(wt[fn]);break;case 17:wt[fn-1].title=Un.cleanupLabel(wt[fn]),Un.addRelation(wt[fn-1]);break;case 27:this.$=wt[fn].trim(),Un.setAccTitle(this.$);break;case 28:case 29:this.$=wt[fn].trim(),Un.setAccDescription(this.$);break;case 30:Un.addClassesToNamespace(wt[fn-3],wt[fn-1]);break;case 31:Un.addClassesToNamespace(wt[fn-4],wt[fn-1]);break;case 32:this.$=wt[fn],Un.addNamespace(wt[fn]);break;case 33:this.$=[wt[fn]];break;case 34:this.$=[wt[fn-1]];break;case 35:wt[fn].unshift(wt[fn-2]),this.$=wt[fn];break;case 37:Un.setCssClass(wt[fn-2],wt[fn]);break;case 38:Un.addMembers(wt[fn-3],wt[fn-1]);break;case 39:Un.setCssClass(wt[fn-5],wt[fn-3]),Un.addMembers(wt[fn-5],wt[fn-1]);break;case 40:this.$=wt[fn],Un.addClass(wt[fn]);break;case 41:this.$=wt[fn-1],Un.addClass(wt[fn-1]),Un.setClassLabel(wt[fn-1],wt[fn]);break;case 42:Un.addAnnotation(wt[fn],wt[fn-2]);break;case 43:this.$=[wt[fn]];break;case 44:wt[fn].push(wt[fn-1]),this.$=wt[fn];break;case 45:break;case 46:Un.addMember(wt[fn-1],Un.cleanupLabel(wt[fn]));break;case 47:break;case 48:break;case 49:this.$={id1:wt[fn-2],id2:wt[fn],relation:wt[fn-1],relationTitle1:"none",relationTitle2:"none"};break;case 50:this.$={id1:wt[fn-3],id2:wt[fn],relation:wt[fn-1],relationTitle1:wt[fn-2],relationTitle2:"none"};break;case 51:this.$={id1:wt[fn-3],id2:wt[fn],relation:wt[fn-2],relationTitle1:"none",relationTitle2:wt[fn-1]};break;case 52:this.$={id1:wt[fn-4],id2:wt[fn],relation:wt[fn-2],relationTitle1:wt[fn-3],relationTitle2:wt[fn-1]};break;case 53:Un.addNote(wt[fn],wt[fn-1]);break;case 54:Un.addNote(wt[fn]);break;case 55:Un.setDirection("TB");break;case 56:Un.setDirection("BT");break;case 57:Un.setDirection("RL");break;case 58:Un.setDirection("LR");break;case 59:this.$={type1:wt[fn-2],type2:wt[fn],lineType:wt[fn-1]};break;case 60:this.$={type1:"none",type2:wt[fn],lineType:wt[fn-1]};break;case 61:this.$={type1:wt[fn-1],type2:"none",lineType:wt[fn]};break;case 62:this.$={type1:"none",type2:"none",lineType:wt[fn]};break;case 63:this.$=Un.relationType.AGGREGATION;break;case 64:this.$=Un.relationType.EXTENSION;break;case 65:this.$=Un.relationType.COMPOSITION;break;case 66:this.$=Un.relationType.DEPENDENCY;break;case 67:this.$=Un.relationType.LOLLIPOP;break;case 68:this.$=Un.lineType.LINE;break;case 69:this.$=Un.lineType.DOTTED_LINE;break;case 70:case 76:this.$=wt[fn-2],Un.setClickEvent(wt[fn-1],wt[fn]);break;case 71:case 77:this.$=wt[fn-3],Un.setClickEvent(wt[fn-2],wt[fn-1]),Un.setTooltip(wt[fn-2],wt[fn]);break;case 72:this.$=wt[fn-2],Un.setLink(wt[fn-1],wt[fn]);break;case 73:this.$=wt[fn-3],Un.setLink(wt[fn-2],wt[fn-1],wt[fn]);break;case 74:this.$=wt[fn-3],Un.setLink(wt[fn-2],wt[fn-1]),Un.setTooltip(wt[fn-2],wt[fn]);break;case 75:this.$=wt[fn-4],Un.setLink(wt[fn-3],wt[fn-2],wt[fn]),Un.setTooltip(wt[fn-3],wt[fn-1]);break;case 78:this.$=wt[fn-3],Un.setClickEvent(wt[fn-2],wt[fn-1],wt[fn]);break;case 79:this.$=wt[fn-4],Un.setClickEvent(wt[fn-3],wt[fn-2],wt[fn-1]),Un.setTooltip(wt[fn-3],wt[fn]);break;case 80:this.$=wt[fn-3],Un.setLink(wt[fn-2],wt[fn]);break;case 81:this.$=wt[fn-4],Un.setLink(wt[fn-3],wt[fn-1],wt[fn]);break;case 82:this.$=wt[fn-4],Un.setLink(wt[fn-3],wt[fn-1]),Un.setTooltip(wt[fn-3],wt[fn]);break;case 83:this.$=wt[fn-5],Un.setLink(wt[fn-4],wt[fn-2],wt[fn]),Un.setTooltip(wt[fn-4],wt[fn-1]);break;case 84:this.$=wt[fn-2],Un.setCssStyle(wt[fn-1],wt[fn]);break;case 85:Un.setCssClass(wt[fn-1],wt[fn]);break;case 86:this.$=[wt[fn]];break;case 87:wt[fn-2].push(wt[fn]),this.$=wt[fn-2];break;case 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qn=new Error(Tr);throw qn.hash=Fn,qn}},parse:function(Tr){var Fn=this,qn=[0],Un=[],At=[null],wt=[],on=this.table,fn="",An=0,oo=0,jo=2,$o=1,Pa=wt.slice.call(arguments,1),wo=Object.create(this.lexer),_s={yy:{}};for(var tl in this.yy)Object.prototype.hasOwnProperty.call(this.yy,tl)&&(_s.yy[tl]=this.yy[tl]);wo.setInput(Tr,_s.yy),_s.yy.lexer=wo,_s.yy.parser=this,typeof wo.yylloc>"u"&&(wo.yylloc={});var da=wo.yylloc;wt.push(da);var j0=wo.options&&wo.options.ranges;typeof _s.yy.parseError=="function"?this.parseError=_s.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;function pm(){var ga;return ga=Un.pop()||wo.lex()||$o,typeof ga!="number"&&(ga instanceof Array&&(Un=ga,ga=Un.pop()),ga=Fn.symbols_[ga]||ga),ga}for(var Ml,Xc,Bc,ja,Ou={},Sa,Po,Fc,xa;;){if(Xc=qn[qn.length-1],this.defaultActions[Xc]?Bc=this.defaultActions[Xc]:((Ml===null||typeof Ml>"u")&&(Ml=pm()),Bc=on[Xc]&&on[Xc][Ml]),typeof Bc>"u"||!Bc.length||!Bc[0]){var Ba="";xa=[];for(Sa in on[Xc])this.terminals_[Sa]&&Sa>jo&&xa.push("'"+this.terminals_[Sa]+"'");wo.showPosition?Ba="Parse error on line "+(An+1)+`: +`+wo.showPosition()+` +Expecting `+xa.join(", ")+", got '"+(this.terminals_[Ml]||Ml)+"'":Ba="Parse error on line "+(An+1)+": Unexpected "+(Ml==$o?"end of input":"'"+(this.terminals_[Ml]||Ml)+"'"),this.parseError(Ba,{text:wo.match,token:this.terminals_[Ml]||Ml,line:wo.yylineno,loc:da,expected:xa})}if(Bc[0]instanceof Array&&Bc.length>1)throw new Error("Parse Error: multiple actions possible at state: "+Xc+", token: "+Ml);switch(Bc[0]){case 1:qn.push(Ml),At.push(wo.yytext),wt.push(wo.yylloc),qn.push(Bc[1]),Ml=null,oo=wo.yyleng,fn=wo.yytext,An=wo.yylineno,da=wo.yylloc;break;case 2:if(Po=this.productions_[Bc[1]][1],Ou.$=At[At.length-Po],Ou._$={first_line:wt[wt.length-(Po||1)].first_line,last_line:wt[wt.length-1].last_line,first_column:wt[wt.length-(Po||1)].first_column,last_column:wt[wt.length-1].last_column},j0&&(Ou._$.range=[wt[wt.length-(Po||1)].range[0],wt[wt.length-1].range[1]]),ja=this.performAction.apply(Ou,[fn,oo,An,_s.yy,Bc[1],At,wt].concat(Pa)),typeof ja<"u")return ja;Po&&(qn=qn.slice(0,-1*Po*2),At=At.slice(0,-1*Po),wt=wt.slice(0,-1*Po)),qn.push(this.productions_[Bc[1]][0]),At.push(Ou.$),wt.push(Ou._$),Fc=on[qn[qn.length-2]][qn[qn.length-1]],qn.push(Fc);break;case 3:return!0}}return!0}},Ma=function(){var ao={EOF:1,parseError:function(Fn,qn){if(this.yy.parser)this.yy.parser.parseError(Fn,qn);else throw new Error(Fn)},setInput:function(Tr,Fn){return this.yy=Fn||this.yy||{},this._input=Tr,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var Tr=this._input[0];this.yytext+=Tr,this.yyleng++,this.offset++,this.match+=Tr,this.matched+=Tr;var Fn=Tr.match(/(?:\r\n?|\n).*/g);return Fn?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),Tr},unput:function(Tr){var Fn=Tr.length,qn=Tr.split(/(?:\r\n?|\n)/g);this._input=Tr+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-Fn),this.offset-=Fn;var Un=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),qn.length-1&&(this.yylineno-=qn.length-1);var At=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:qn?(qn.length===Un.length?this.yylloc.first_column:0)+Un[Un.length-qn.length].length-qn[0].length:this.yylloc.first_column-Fn},this.options.ranges&&(this.yylloc.range=[At[0],At[0]+this.yyleng-Fn]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){if(this.options.backtrack_lexer)this._backtrack=!0;else return this.parseError("Lexical error on line "+(this.yylineno+1)+`. You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true). +`+this.showPosition(),{text:"",token:null,line:this.yylineno});return this},less:function(Tr){this.unput(this.match.slice(Tr))},pastInput:function(){var Tr=this.matched.substr(0,this.matched.length-this.match.length);return(Tr.length>20?"...":"")+Tr.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var Tr=this.match;return Tr.length<20&&(Tr+=this._input.substr(0,20-Tr.length)),(Tr.substr(0,20)+(Tr.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var Tr=this.pastInput(),Fn=new Array(Tr.length+1).join("-");return Tr+this.upcomingInput()+` +`+Fn+"^"},test_match:function(Tr,Fn){var qn,Un,At;if(this.options.backtrack_lexer&&(At={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(At.yylloc.range=this.yylloc.range.slice(0))),Un=Tr[0].match(/(?:\r\n?|\n).*/g),Un&&(this.yylineno+=Un.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:Un?Un[Un.length-1].length-Un[Un.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+Tr[0].length},this.yytext+=Tr[0],this.match+=Tr[0],this.matches=Tr,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(Tr[0].length),this.matched+=Tr[0],qn=this.performAction.call(this,this.yy,this,Fn,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),qn)return qn;if(this._backtrack){for(var wt in At)this[wt]=At[wt];return!1}return!1},next:function(){if(this.done)return this.EOF;this._input||(this.done=!0);var Tr,Fn,qn,Un;this._more||(this.yytext="",this.match="");for(var At=this._currentRules(),wt=0;wtFn[0].length)){if(Fn=qn,Un=wt,this.options.backtrack_lexer){if(Tr=this.test_match(qn,At[wt]),Tr!==!1)return Tr;if(this._backtrack){Fn=!1;continue}else return!1}else if(!this.options.flex)break}return Fn?(Tr=this.test_match(Fn,At[Un]),Tr!==!1?Tr:!1):this._input===""?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+`. Unrecognized text. +`+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var Fn=this.next();return Fn||this.lex()},begin:function(Fn){this.conditionStack.push(Fn)},popState:function(){var Fn=this.conditionStack.length-1;return Fn>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(Fn){return Fn=this.conditionStack.length-1-Math.abs(Fn||0),Fn>=0?this.conditionStack[Fn]:"INITIAL"},pushState:function(Fn){this.begin(Fn)},stateStackSize:function(){return this.conditionStack.length},options:{},performAction:function(Fn,qn,Un,At){switch(Un){case 0:return 53;case 1:return 54;case 2:return 55;case 3:return 56;case 4:break;case 5:break;case 6:return this.begin("acc_title"),31;case 7:return this.popState(),"acc_title_value";case 8:return this.begin("acc_descr"),33;case 9:return this.popState(),"acc_descr_value";case 10:this.begin("acc_descr_multiline");break;case 11:this.popState();break;case 12:return"acc_descr_multiline_value";case 13:return 8;case 14:break;case 15:return 7;case 16:return 7;case 17:return"EDGE_STATE";case 18:this.begin("callback_name");break;case 19:this.popState();break;case 20:this.popState(),this.begin("callback_args");break;case 21:return 70;case 22:this.popState();break;case 23:return 71;case 24:this.popState();break;case 25:return"STR";case 26:this.begin("string");break;case 27:return 73;case 28:return this.begin("namespace"),40;case 29:return this.popState(),8;case 30:break;case 31:return this.begin("namespace-body"),37;case 32:return this.popState(),39;case 33:return"EOF_IN_STRUCT";case 34:return 8;case 35:break;case 36:return"EDGE_STATE";case 37:return this.begin("class"),44;case 38:return this.popState(),8;case 39:break;case 40:return this.popState(),this.popState(),39;case 41:return this.begin("class-body"),37;case 42:return this.popState(),39;case 43:return"EOF_IN_STRUCT";case 44:return"EDGE_STATE";case 45:return"OPEN_IN_STRUCT";case 46:break;case 47:return"MEMBER";case 48:return 76;case 49:return 66;case 50:return 67;case 51:return 69;case 52:return 50;case 53:return 52;case 54:return 45;case 55:return 46;case 56:return 72;case 57:this.popState();break;case 58:return"GENERICTYPE";case 59:this.begin("generic");break;case 60:this.popState();break;case 61:return"BQUOTE_STR";case 62:this.begin("bqstring");break;case 63:return 68;case 64:return 68;case 65:return 68;case 66:return 68;case 67:return 60;case 68:return 60;case 69:return 62;case 70:return 62;case 71:return 61;case 72:return 59;case 73:return 63;case 74:return 64;case 75:return 65;case 76:return 21;case 77:return 42;case 78:return 95;case 79:return"DOT";case 80:return"PLUS";case 81:return 81;case 82:return 78;case 83:return 84;case 84:return 84;case 85:return 85;case 86:return"EQUALS";case 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57:this.popState(),this.pushState("FLOATING_NOTE");break;case 58:return this.popState(),this.pushState("FLOATING_NOTE_ID"),"AS";case 59:break;case 60:return"NOTE_TEXT";case 61:return this.popState(),"ID";case 62:return this.popState(),this.pushState("NOTE_TEXT"),23;case 63:return this.popState(),ke.yytext=ke.yytext.substr(2).trim(),30;case 64:return this.popState(),ke.yytext=ke.yytext.slice(0,-8).trim(),30;case 65:return 6;case 66:return 6;case 67:return 15;case 68:return 50;case 69:return 23;case 70:return ke.yytext=ke.yytext.trim(),13;case 71:return 14;case 72:return 27;case 73:return 51;case 74:return 5;case 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of\b)/i,/^(?:right of\b)/i,/^(?:")/i,/^(?:\s*as\s*)/i,/^(?:["])/i,/^(?:[^"]*)/i,/^(?:[^\n]*)/i,/^(?:\s*[^:\n\s\-]+)/i,/^(?:\s*:[^:\n;]+)/i,/^(?:[\s\S]*?end note\b)/i,/^(?:stateDiagram\s+)/i,/^(?:stateDiagram-v2\s+)/i,/^(?:hide empty description\b)/i,/^(?:\[\*\])/i,/^(?:[^:\n\s\-\{]+)/i,/^(?:\s*:[^:\n;]+)/i,/^(?:-->)/i,/^(?:--)/i,/^(?::::)/i,/^(?:$)/i,/^(?:.)/i],conditions:{LINE:{rules:[9,10],inclusive:!1},struct:{rules:[9,10,22,26,32,39,40,41,42,51,52,53,54,68,69,70,71,72],inclusive:!1},FLOATING_NOTE_ID:{rules:[61],inclusive:!1},FLOATING_NOTE:{rules:[58,59,60],inclusive:!1},NOTE_TEXT:{rules:[63,64],inclusive:!1},NOTE_ID:{rules:[62],inclusive:!1},NOTE:{rules:[55,56,57],inclusive:!1},CLASS_STYLE:{rules:[28],inclusive:!1},CLASS:{rules:[27],inclusive:!1},CLASSDEFID:{rules:[25],inclusive:!1},CLASSDEF:{rules:[23,24],inclusive:!1},acc_descr_multiline:{rules:[20,21],inclusive:!1},acc_descr:{rules:[18],inclusive:!1},acc_title:{rules:[16],inclusive:!1},SCALE:{rules:[13,14,30,31],inclusive:!1},ALIAS:{rules:[],inclusive:!1},STATE_ID:{rules:[45],inclusive:!1},STATE_STRING:{rules:[46,47],inclusive:!1},FORK_STATE:{rules:[],inclusive:!1},STATE:{rules:[9,10,33,34,35,36,37,38,43,44,48,49,50],inclusive:!1},ID:{rules:[9,10],inclusive:!1},INITIAL:{rules:[0,1,2,3,4,5,6,7,8,10,11,12,15,17,19,22,26,29,32,50,54,65,66,67,68,69,70,71,73,74,75],inclusive:!0}}};return Ie}();Fe.lexer=Pe;function je(){this.yy={}}return je.prototype=Fe,Fe.Parser=je,new je}();Nve.parser=Nve;const oKe=Nve,Zin="LR",esn="TB",EJ="state",Pve="relation",tsn="classDef",nsn="applyClass",XR="default",cKe="divider",Bve="[*]",uKe="start",lKe=Bve,hKe="end",fKe="color",dKe="fill",rsn="bgFill",isn=",";function gKe(){return{}}let pKe=Zin,TJ=[],QR=gKe();const bKe=()=>({relations:[],states:{},documents:{}});let CJ={root:bKe()},jg=CJ.root,JR=0,mKe=0;const ssn={LINE:0,DOTTED_LINE:1},asn={AGGREGATION:0,EXTENSION:1,COMPOSITION:2,DEPENDENCY:3},SJ=i=>JSON.parse(JSON.stringify(i)),osn=i=>{Xe.info("Setting root doc",i),TJ=i},csn=()=>TJ,_J=(i,s,u)=>{if(s.stmt===Pve)_J(i,s.state1,!0),_J(i,s.state2,!1);else if(s.stmt===EJ&&(s.id==="[*]"?(s.id=u?i.id+"_start":i.id+"_end",s.start=u):s.id=s.id.trim()),s.doc){const d=[];let p=[],v;for(v=0;v0&&p.length>0){const b={stmt:EJ,id:bje(),type:"divider",doc:SJ(p)};d.push(SJ(b)),s.doc=d}s.doc.forEach(b=>_J(s,b,!0))}},usn=()=>(_J({id:"root"},{id:"root",doc:TJ},!0),{id:"root",doc:TJ}),lsn=i=>{let s;i.doc?s=i.doc:s=i,Xe.info(s),vKe(!0),Xe.info("Extract",s),s.forEach(u=>{switch(u.stmt){case EJ:rS(u.id.trim(),u.type,u.doc,u.description,u.note,u.classes,u.styles,u.textStyles);break;case Pve:wKe(u.state1,u.state2,u.description);break;case tsn:yKe(u.id.trim(),u.classes);break;case nsn:$ve(u.id.trim(),u.styleClass);break}})},rS=function(i,s=XR,u=null,d=null,p=null,v=null,b=null,y=null){const T=i==null?void 0:i.trim();jg.states[T]===void 0?(Xe.info("Adding state ",T,d),jg.states[T]={id:T,descriptions:[],type:s,doc:u,note:p,classes:[],styles:[],textStyles:[]}):(jg.states[T].doc||(jg.states[T].doc=u),jg.states[T].type||(jg.states[T].type=s)),d&&(Xe.info("Setting state description",T,d),typeof d=="string"&&jve(T,d.trim()),typeof d=="object"&&d.forEach(_=>jve(T,_.trim()))),p&&(jg.states[T].note=p,jg.states[T].note.text=li.sanitizeText(jg.states[T].note.text,qt())),v&&(Xe.info("Setting state classes",T,v),(typeof v=="string"?[v]:v).forEach(A=>$ve(T,A.trim()))),b&&(Xe.info("Setting state styles",T,b),(typeof b=="string"?[b]:b).forEach(A=>ysn(T,A.trim()))),y&&(Xe.info("Setting state styles",T,b),(typeof y=="string"?[y]:y).forEach(A=>xsn(T,A.trim())))},vKe=function(i){CJ={root:bKe()},jg=CJ.root,JR=0,QR=gKe(),i||Pg()},ZR=function(i){return jg.states[i]},hsn=function(){return jg.states},fsn=function(){Xe.info("Documents = ",CJ)},dsn=function(){return jg.relations};function Fve(i=""){let s=i;return i===Bve&&(JR++,s=`${uKe}${JR}`),s}function Rve(i="",s=XR){return i===Bve?uKe:s}function gsn(i=""){let s=i;return i===lKe&&(JR++,s=`${hKe}${JR}`),s}function psn(i="",s=XR){return i===lKe?hKe:s}function bsn(i,s,u){let d=Fve(i.id.trim()),p=Rve(i.id.trim(),i.type),v=Fve(s.id.trim()),b=Rve(s.id.trim(),s.type);rS(d,p,i.doc,i.description,i.note,i.classes,i.styles,i.textStyles),rS(v,b,s.doc,s.description,s.note,s.classes,s.styles,s.textStyles),jg.relations.push({id1:d,id2:v,relationTitle:li.sanitizeText(u,qt())})}const wKe=function(i,s,u){if(typeof i=="object")bsn(i,s,u);else{const d=Fve(i.trim()),p=Rve(i),v=gsn(s.trim()),b=psn(s);rS(d,p),rS(v,b),jg.relations.push({id1:d,id2:v,title:li.sanitizeText(u,qt())})}},jve=function(i,s){const u=jg.states[i],d=s.startsWith(":")?s.replace(":","").trim():s;u.descriptions.push(li.sanitizeText(d,qt()))},msn=function(i){return i.substring(0,1)===":"?i.substr(2).trim():i.trim()},vsn=()=>(mKe++,"divider-id-"+mKe),yKe=function(i,s=""){QR[i]===void 0&&(QR[i]={id:i,styles:[],textStyles:[]});const u=QR[i];s!=null&&s.split(isn).forEach(d=>{const p=d.replace(/([^;]*);/,"$1").trim();if(d.match(fKe)){const b=p.replace(dKe,rsn).replace(fKe,dKe);u.textStyles.push(b)}u.styles.push(p)})},wsn=function(){return QR},$ve=function(i,s){i.split(",").forEach(function(u){let d=ZR(u);if(d===void 0){const p=u.trim();rS(p),d=ZR(p)}d.classes.push(s)})},ysn=function(i,s){const u=ZR(i);u!==void 0&&u.textStyles.push(s)},xsn=function(i,s){const u=ZR(i);u!==void 0&&u.textStyles.push(s)},G7={getConfig:()=>qt().state,addState:rS,clear:vKe,getState:ZR,getStates:hsn,getRelations:dsn,getClasses:wsn,getDirection:()=>pKe,addRelation:wKe,getDividerId:vsn,setDirection:i=>{pKe=i},cleanupLabel:msn,lineType:ssn,relationType:asn,logDocuments:fsn,getRootDoc:csn,setRootDoc:osn,getRootDocV2:usn,extract:lsn,trimColon:i=>i&&i[0]===":"?i.substr(1).trim():i.trim(),getAccTitle:Cp,setAccTitle:Bg,getAccDescription:_p,setAccDescription:Sp,addStyleClass:yKe,setCssClass:$ve,addDescription:jve,setDiagramTitle:cm,getDiagramTitle:Ap},xKe=i=>` +defs #statediagram-barbEnd { + fill: ${i.transitionColor}; + stroke: ${i.transitionColor}; + } +g.stateGroup text { + fill: ${i.nodeBorder}; + stroke: none; + font-size: 10px; +} +g.stateGroup text { + fill: ${i.textColor}; + stroke: none; + font-size: 10px; + +} +g.stateGroup .state-title { + font-weight: bolder; + fill: ${i.stateLabelColor}; +} + +g.stateGroup rect { + fill: ${i.mainBkg}; + stroke: ${i.nodeBorder}; +} + +g.stateGroup line { + stroke: ${i.lineColor}; + stroke-width: 1; +} + +.transition { + stroke: ${i.transitionColor}; + stroke-width: 1; + fill: none; +} + +.stateGroup .composit { + fill: ${i.background}; + border-bottom: 1px +} + +.stateGroup .alt-composit { + fill: #e0e0e0; + border-bottom: 1px +} + +.state-note { + stroke: ${i.noteBorderColor}; + fill: ${i.noteBkgColor}; + + text { + fill: ${i.noteTextColor}; + stroke: none; + font-size: 10px; + } +} + +.stateLabel .box { + stroke: none; + stroke-width: 0; + fill: ${i.mainBkg}; + opacity: 0.5; +} + +.edgeLabel .label rect { + fill: ${i.labelBackgroundColor}; + opacity: 0.5; +} +.edgeLabel .label text { + fill: ${i.transitionLabelColor||i.tertiaryTextColor}; +} +.label div .edgeLabel { + color: ${i.transitionLabelColor||i.tertiaryTextColor}; +} + +.stateLabel text { + fill: ${i.stateLabelColor}; + font-size: 10px; + font-weight: bold; +} + +.node circle.state-start { + fill: ${i.specialStateColor}; + stroke: ${i.specialStateColor}; +} + +.node .fork-join { + fill: ${i.specialStateColor}; + stroke: ${i.specialStateColor}; +} + +.node circle.state-end { + fill: ${i.innerEndBackground}; + stroke: ${i.background}; + stroke-width: 1.5 +} +.end-state-inner { + fill: ${i.compositeBackground||i.background}; + // stroke: ${i.background}; + stroke-width: 1.5 +} + +.node rect { + fill: ${i.stateBkg||i.mainBkg}; + stroke: ${i.stateBorder||i.nodeBorder}; + stroke-width: 1px; +} +.node polygon { + fill: ${i.mainBkg}; + stroke: ${i.stateBorder||i.nodeBorder};; + stroke-width: 1px; +} +#statediagram-barbEnd { + fill: ${i.lineColor}; +} + +.statediagram-cluster rect { + fill: ${i.compositeTitleBackground}; + stroke: ${i.stateBorder||i.nodeBorder}; + stroke-width: 1px; +} + +.cluster-label, .nodeLabel { + color: ${i.stateLabelColor}; +} + +.statediagram-cluster rect.outer { + rx: 5px; + ry: 5px; +} +.statediagram-state .divider { + stroke: ${i.stateBorder||i.nodeBorder}; +} + +.statediagram-state .title-state { + rx: 5px; + ry: 5px; +} +.statediagram-cluster.statediagram-cluster .inner { + fill: ${i.compositeBackground||i.background}; +} +.statediagram-cluster.statediagram-cluster-alt .inner { + fill: ${i.altBackground?i.altBackground:"#efefef"}; +} + +.statediagram-cluster .inner { + rx:0; + ry:0; +} + +.statediagram-state rect.basic { + rx: 5px; + ry: 5px; +} +.statediagram-state rect.divider { + stroke-dasharray: 10,10; + fill: ${i.altBackground?i.altBackground:"#efefef"}; +} + +.note-edge { + stroke-dasharray: 5; +} + +.statediagram-note rect { + fill: ${i.noteBkgColor}; + stroke: ${i.noteBorderColor}; + stroke-width: 1px; + rx: 0; + ry: 0; +} +.statediagram-note rect { + fill: ${i.noteBkgColor}; + stroke: ${i.noteBorderColor}; + stroke-width: 1px; + rx: 0; + ry: 0; +} + +.statediagram-note text { + fill: ${i.noteTextColor}; +} + +.statediagram-note .nodeLabel { + color: ${i.noteTextColor}; +} +.statediagram .edgeLabel { + color: red; // ${i.noteTextColor}; +} + +#dependencyStart, #dependencyEnd { + fill: ${i.lineColor}; + stroke: ${i.lineColor}; + stroke-width: 1; +} + +.statediagramTitleText { + text-anchor: middle; + font-size: 18px; + fill: ${i.textColor}; +} +`,zve={},ksn=(i,s)=>{zve[i]=s},Esn=i=>zve[i],kKe=()=>Object.keys(zve),Tsn={get:Esn,set:ksn,keys:kKe,size:()=>kKe().length},Csn=i=>i.append("circle").attr("class","start-state").attr("r",qt().state.sizeUnit).attr("cx",qt().state.padding+qt().state.sizeUnit).attr("cy",qt().state.padding+qt().state.sizeUnit),Ssn=i=>i.append("line").style("stroke","grey").style("stroke-dasharray","3").attr("x1",qt().state.textHeight).attr("class","divider").attr("x2",qt().state.textHeight*2).attr("y1",0).attr("y2",0),_sn=(i,s)=>{const u=i.append("text").attr("x",2*qt().state.padding).attr("y",qt().state.textHeight+2*qt().state.padding).attr("font-size",qt().state.fontSize).attr("class","state-title").text(s.id),d=u.node().getBBox();return i.insert("rect",":first-child").attr("x",qt().state.padding).attr("y",qt().state.padding).attr("width",d.width+2*qt().state.padding).attr("height",d.height+2*qt().state.padding).attr("rx",qt().state.radius),u},Asn=(i,s)=>{const u=function(R,F,j){const 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_.attr("x2",P+3*qt().state.padding),i.insert("rect",":first-child").attr("x",qt().state.padding).attr("y",qt().state.padding).attr("width",P+2*qt().state.padding).attr("height",A.height+v+2*qt().state.padding).attr("rx",qt().state.radius),i},Lsn=(i,s,u)=>{const d=qt().state.padding,p=2*qt().state.padding,v=i.node().getBBox(),b=v.width,y=v.x,T=i.append("text").attr("x",0).attr("y",qt().state.titleShift).attr("font-size",qt().state.fontSize).attr("class","state-title").text(s.id),A=T.node().getBBox().width+p;let P=Math.max(A,b);P===b&&(P=P+p);let R;const F=i.node().getBBox();s.doc,R=y-d,A>b&&(R=(b-P)/2+d),Math.abs(y-F.x)b&&(R=y-(A-b)/2);const j=1-qt().state.textHeight;return 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u=qt().state.forkWidth,d=qt().state.forkHeight;if(s.parentId){let p=u;u=d,d=p}return i.append("rect").style("stroke","black").style("fill","black").attr("width",u).attr("height",d).attr("x",qt().state.padding).attr("y",qt().state.padding)},Isn=(i,s,u,d)=>{let p=0;const v=d.append("text");v.style("text-anchor","start"),v.attr("class","noteText");let b=i.replace(/\r\n/g,"
");b=b.replace(/\n/g,"
");const y=b.split(li.lineBreakRegex);let T=1.25*qt().state.noteMargin;for(const _ of y){const A=_.trim();if(A.length>0){const P=v.append("tspan");if(P.text(A),T===0){const R=P.node().getBBox();T+=R.height}p+=T,P.attr("x",s+qt().state.noteMargin),P.attr("y",u+p+1.25*qt().state.noteMargin)}}return{textWidth:v.node().getBBox().width,textHeight:p}},Osn=(i,s)=>{s.attr("class","state-note");const u=s.append("rect").attr("x",0).attr("y",qt().state.padding),d=s.append("g"),{textWidth:p,textHeight:v}=Isn(i,0,0,d);return u.attr("height",v+2*qt().state.noteMargin),u.attr("width",p+qt().state.noteMargin*2),u},EKe=function(i,s){const u=s.id,d={id:u,label:s.id,width:0,height:0},p=i.append("g").attr("id",u).attr("class","stateGroup");s.type==="start"&&Csn(p),s.type==="end"&&Msn(p),(s.type==="fork"||s.type==="join")&&Dsn(p,s),s.type==="note"&&Osn(s.note.text,p),s.type==="divider"&&Ssn(p),s.type==="default"&&s.descriptions.length===0&&_sn(p,s),s.type==="default"&&s.descriptions.length>0&&Asn(p,s);const v=p.node().getBBox();return d.width=v.width+2*qt().state.padding,d.height=v.height+2*qt().state.padding,Tsn.set(u,d),d};let TKe=0;const Nsn=function(i,s,u){const d=function(T){switch(T){case G7.relationType.AGGREGATION:return"aggregation";case G7.relationType.EXTENSION:return"extension";case G7.relationType.COMPOSITION:return"composition";case G7.relationType.DEPENDENCY:return"dependency"}};s.points=s.points.filter(T=>!Number.isNaN(T.y));const p=s.points,v=k7().x(function(T){return T.x}).y(function(T){return T.y}).curve(FF),b=i.append("path").attr("d",v(p)).attr("id","edge"+TKe).attr("class","transition");let y="";if(qt().state.arrowMarkerAbsolute&&(y=window.location.protocol+"//"+window.location.host+window.location.pathname+window.location.search,y=y.replace(/\(/g,"\\("),y=y.replace(/\)/g,"\\)")),b.attr("marker-end","url("+y+"#"+d(G7.relationType.DEPENDENCY)+"End)"),u.title!==void 0){const T=i.append("g").attr("class","stateLabel"),{x:_,y:A}=Ao.calcLabelPosition(s.points),P=li.getRows(u.title);let R=0;const F=[];let j=0,K=0;for(let oe=0;oe<=P.length;oe++){const pe=T.append("text").attr("text-anchor","middle").text(P[oe]).attr("x",_).attr("y",A+R),be=pe.node().getBBox();j=Math.max(j,be.width),K=Math.min(K,be.x),Xe.info(be.x,_,A+R),R===0&&(R=pe.node().getBBox().height,Xe.info("Title height",R,A)),F.push(pe)}let ee=R*P.length;if(P.length>1){const oe=(P.length-1)*R*.5;F.forEach((pe,be)=>pe.attr("y",A+be*R-oe)),ee=R*P.length}const ie=T.node().getBBox();T.insert("rect",":first-child").attr("class","box").attr("x",_-j/2-qt().state.padding/2).attr("y",A-ee/2-qt().state.padding/2-3.5).attr("width",j+qt().state.padding).attr("height",ee+qt().state.padding),Xe.info(ie)}TKe++};let gm;const qve={},Psn=function(){},Bsn=function(i){i.append("defs").append("marker").attr("id","dependencyEnd").attr("refX",19).attr("refY",7).attr("markerWidth",20).attr("markerHeight",28).attr("orient","auto").append("path").attr("d","M 19,7 L9,13 L14,7 L9,1 Z")},Fsn=function(i,s,u,d){gm=qt().state;const p=qt().securityLevel;let v;p==="sandbox"&&(v=Ir("#i"+s));const b=Ir(p==="sandbox"?v.nodes()[0].contentDocument.body:"body"),y=p==="sandbox"?v.nodes()[0].contentDocument:document;Xe.debug("Rendering diagram "+i);const T=b.select(`[id='${s}']`);Bsn(T);const _=d.db.getRootDoc();CKe(_,T,void 0,!1,b,y,d);const A=gm.padding,P=T.node().getBBox(),R=P.width+A*2,F=P.height+A*2,j=R*1.75;Ng(T,F,j,gm.useMaxWidth),T.attr("viewBox",`${P.x-gm.padding} 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r,a,o,f,g,w,E,C;for(o=ze(Ge(e.b.Kc().Pb())),E=ze(Ge(q3n(t.b))),r=md(Ja(e.a),E-n),a=md(Ja(t.a),n-o),C=Oi(r,a),md(C,1/(E-o)),this.a=C,this.b=new bt,g=!0,f=e.b.Kc(),f.Pb();f.Ob();)w=ze(Ge(f.Pb())),g&&w-n>wfe&&(this.b.Fc(n),g=!1),this.b.Fc(w);g&&this.b.Fc(n)}function GCn(e){var t,n,r,a;if(l_n(e,e.n),e.d.c.length>0){for(u_(e.c);L9e(e,l(re(new G(e.e.a)),125))>5,t&=31,r>=e.d)return e.e<0?(Cd(),w6t):(Cd(),BL);if(o=e.d-r,a=We(Vr,di,28,o+1,15,1),F9n(a,o,e.a,r,t),e.e<0){for(n=0;n0&&e.a[n]<<32-t){for(n=0;n=0?!1:(n=g6((El(),io),a,t),n?(r=n.Ik(),(r>1||r==-1)&&kw(ic(io,n))!=3):!0)):!1}function XCn(e,t,n,r){var a,o,f,g,w;return g=bc(l(Oe((!t.b&&(t.b=new Ln(_r,t,4,7)),t.b),0),84)),w=bc(l(Oe((!t.c&&(t.c=new Ln(_r,t,5,8)),t.c),0),84)),ds(g)==ds(w)||Ly(w,g)?null:(f=WO(t),f==n?r:(o=l(cr(e.a,f),10),o&&(a=o.e,a)?a:null))}function QCn(e,t,n){var r,a,o,f,g;for(n.Ug("Longest path to source layering",1),e.a=t,g=e.a.a,e.b=We(Vr,di,28,g.c.length,15,1),r=0,f=new 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t,n,r,a,o;if(e.l==0&&e.m==0&&e.h==0)return"0";if(e.h==SP&&e.m==0&&e.l==0)return"-9223372036854775808";if(e.h>>19)return"-"+Pbt(xE(e));for(n=e,r="";!(n.l==0&&n.m==0&&n.h==0);){if(a=Loe(JU),n=Nke(n,a,!0),t=""+rZe(Nb),!(n.l==0&&n.m==0&&n.h==0))for(o=9-t.length;o>0;o--)t="0"+t;r=t+r}return r}function SSn(e){var t,n,r,a,o,f,g;for(t=!1,n=0,a=new G(e.d.b);a.a=e.a||!Bxe(t,n))return-1;if(Zk(l(r.Kb(t),20)))return 1;for(a=0,f=l(r.Kb(t),20).Kc();f.Ob();)if(o=l(f.Pb(),18),w=o.c.i==t?o.d.i:o.c.i,g=tke(e,w,n,r),g==-1||(a=b.Math.max(a,g),a>e.c-1))return-1;return a+1}function Bbt(e,t){var n,r,a,o,f,g;if(qe(t)===qe(e))return!0;if(!De(t,15)||(r=l(t,15),g=e.gc(),r.gc()!=g))return!1;if(f=r.Kc(),e.Yi()){for(n=0;n0){if(e._j(),t!=null){for(o=0;o>24;case 97:case 98:case 99:case 100:case 101:case 102:return e-97+10<<24>>24;case 65:case 66:case 67:case 68:case 69:case 70:return e-65+10<<24>>24;default:throw ue(new gd("Invalid hexadecimal"))}}function PU(){PU=U,j_e=new L5("SPIRAL",0),P_e=new 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null;switch(e.k.g){case 1:return QV(t,wT)?(Hn(),ST):QV(t,Ffe)?(Hn(),Pb):null;case 2:try{return pt(Oh(t,lo,Ii))}catch(r){if(r=bs(r),De(r,130))return null;throw ue(r)}case 4:try{return jy(t)}catch(r){if(r=bs(r),De(r,130))return null;throw ue(r)}case 3:return t;case 5:return F0t(e),Xpt(e,t);case 6:return F0t(e),pTn(e,e.a,t);case 7:try{return n=SEn(e),n.cg(t),n}catch(r){if(r=bs(r),De(r,33))return null;throw ue(r)}default:throw ue(new nc("Invalid type set for this layout option."))}}function Bke(e){var t;switch(e.d){case 1:{if(e.Sj())return e.o!=-2;break}case 2:{if(e.Sj())return e.o==-2;break}case 3:case 5:case 4:case 6:case 7:return e.o>-2;default:return!1}switch(t=e.Rj(),e.p){case 0:return t!=null&&Rt(Bt(t))!=I_(e.k,0);case 1:return t!=null&&l(t,222).a!=Yr(e.k)<<24>>24;case 2:return t!=null&&l(t,180).a!=(Yr(e.k)&Zs);case 6:return t!=null&&I_(l(t,168).a,e.k);case 5:return t!=null&&l(t,17).a!=Yr(e.k);case 7:return t!=null&&l(t,191).a!=Yr(e.k)<<16>>16;case 3:return 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99:V=r.q.getDay(),n==5?hi(e,he(le(zt,1),dt,2,6,["S","M","T","W","T","F","S"])[V]):n==4?hi(e,he(le(zt,1),dt,2,6,[Qle,Jle,Zle,ehe,the,nhe,rhe])[V]):n==3?hi(e,he(le(zt,1),dt,2,6,["Sun","Mon","Tue","Wed","Thu","Fri","Sat"])[V]):ag(e,V,1);break;case 76:J=r.q.getMonth(),n==5?hi(e,he(le(zt,1),dt,2,6,["J","F","M","A","M","J","J","A","S","O","N","D"])[J]):n==4?hi(e,he(le(zt,1),dt,2,6,[$le,zle,qle,Hle,_x,Vle,Ule,Gle,Kle,Wle,Yle,Xle])[J]):n==3?hi(e,he(le(zt,1),dt,2,6,["Jan","Feb","Mar","Apr",_x,"Jun","Jul","Aug","Sep","Oct","Nov","Dec"])[J]):ag(e,J+1,n);break;case 81:te=r.q.getMonth()/3|0,n<4?hi(e,he(le(zt,1),dt,2,6,["Q1","Q2","Q3","Q4"])[te]):hi(e,he(le(zt,1),dt,2,6,["1st quarter","2nd quarter","3rd quarter","4th quarter"])[te]);break;case 100:fe=r.q.getDate(),ag(e,fe,n);break;case 109:E=a.q.getMinutes(),ag(e,E,n);break;case 115:f=a.q.getSeconds(),ag(e,f,n);break;case 122:n<4?hi(e,o.c[0]):hi(e,o.c[1]);break;case 118:hi(e,o.b);break;case 90:n<3?hi(e,Nkn(o)):n==3?hi(e,jkn(o)):hi(e,$kn(o.a));break;default:return!1}return!0}function Wke(e,t,n,r){var a,o,f,g,w,E,C,L,B,z,V,J,te,fe,Te,Me,$e,Ze,ot,St,cn,an,Bn,jn,ur,oi;if(emt(t),w=l(Oe((!t.b&&(t.b=new Ln(_r,t,4,7)),t.b),0),84),C=l(Oe((!t.c&&(t.c=new Ln(_r,t,5,8)),t.c),0),84),g=bc(w),E=bc(C),f=(!t.a&&(t.a=new nt(cs,t,6,6)),t.a).i==0?null:l(Oe((!t.a&&(t.a=new nt(cs,t,6,6)),t.a),0),166),St=l(cr(e.a,g),10),jn=l(cr(e.a,E),10),cn=null,ur=null,De(w,193)&&(ot=l(cr(e.a,w),305),De(ot,12)?cn=l(ot,12):De(ot,10)&&(St=l(ot,10),cn=l(jt(St.j,0),12))),De(C,193)&&(Bn=l(cr(e.a,C),305),De(Bn,12)?ur=l(Bn,12):De(Bn,10)&&(jn=l(Bn,10),ur=l(jt(jn.j,0),12))),!St||!jn)throw ue(new I8("The source or the target of edge "+t+" could not be found. This usually happens when an edge connects a node laid out by ELK Layered to a node in another level of hierarchy laid out by either another instance of ELK Layered or another layout algorithm alltogether. The former can be solved by setting the hierarchyHandling option to INCLUDE_CHILDREN."));for(J=new Tw,pc(J,t),rt(J,(ft(),zi),t),rt(J,(Nt(),cc),null),z=l(Q(r,Lu),21),St==jn&&z.Fc((Ho(),GL)),cn||(Ze=(qo(),zu),an=null,f&&P5(l(Q(St,Ms),101))&&(an=new lt(f.j,f.k),Vct(an,WO(t)),vut(an,n),Ly(E,g)&&(Ze=$l,Oi(an,St.n))),cn=tvt(St,an,Ze,r)),ur||(Ze=(qo(),$l),oi=null,f&&P5(l(Q(jn,Ms),101))&&(oi=new lt(f.b,f.c),Vct(oi,WO(t)),vut(oi,n)),ur=tvt(jn,oi,Ze,eo(jn))),po(J,cn),Fa(J,ur),(cn.e.c.length>1||cn.g.c.length>1||ur.e.c.length>1||ur.g.c.length>1)&&z.Fc((Ho(),UL)),B=new or((!t.n&&(t.n=new nt(ec,t,1,7)),t.n));B.e!=B.i.gc();)if(L=l(gr(B),135),!Rt(Bt(at(L,mv)))&&L.a)switch(te=Oce(L),vt(J.b,te),l(Q(te,jd),278).g){case 1:case 2:z.Fc((Ho(),jT));break;case 0:z.Fc((Ho(),RT)),rt(te,jd,(F1(),nC))}if(o=l(Q(r,JL),322),fe=l(Q(r,yW),323),a=o==(dA(),mB)||fe==(OA(),vde),f&&(!f.a&&(f.a=new Ys(qh,f,5)),f.a).i!=0&&a){for(Te=QN(f),V=new bl,$e=Rr(Te,0);$e.b!=$e.d.c;)Me=l(Br($e),8),ci(V,new Eo(Me));rt(J,qLe,V)}return J}function KIn(e,t,n,r){var a,o,f,g,w,E,C,L,B,z,V,J,te,fe,Te,Me,$e,Ze,ot,St,cn,an,Bn,jn,ur,oi,ws;for(an=0,Bn=0,St=new Pr,Ze=l(fh(vy(fc(new bn(null,new kn(e.b,16)),new Jte),new sne)),17).a+1,cn=We(Vr,di,28,Ze,15,1),te=We(Vr,di,28,Ze,15,1),J=0;J1)for(g=ur+1;gE.b.e.b*(1-fe)+E.c.e.b*fe));V++);if(ot.gc()>0&&(oi=E.a.b==0?Ja(E.b.e):l(o0(E.a),8),Me=Oi(Ja(l(ot.Xb(ot.gc()-1),40).e),l(ot.Xb(ot.gc()-1),40).f),B=Oi(Ja(l(ot.Xb(0),40).e),l(ot.Xb(0),40).f),V>=ot.gc()-1&&oi.b>Me.b&&E.c.e.b>Me.b||V<=0&&oi.bE.b.e.a*(1-fe)+E.c.e.a*fe));V++);if(ot.gc()>0&&(oi=E.a.b==0?Ja(E.b.e):l(o0(E.a),8),Me=Oi(Ja(l(ot.Xb(ot.gc()-1),40).e),l(ot.Xb(ot.gc()-1),40).f),B=Oi(Ja(l(ot.Xb(0),40).e),l(ot.Xb(0),40).f),V>=ot.gc()-1&&oi.a>Me.a&&E.c.e.a>Me.a||V<=0&&oi.a=ze(Ge(Q(e,(Qi(),iIe))))&&++Bn):(z.f&&z.d.e.a<=ze(Ge(Q(e,(Qi(),Bde))))&&++an,z.g&&z.c.e.a+z.c.f.a>=ze(Ge(Q(e,(Qi(),rIe))))&&++Bn)}else $e==0?b9e(E):$e<0&&(++cn[ur],++te[ws],jn=qIn(E,t,e,new ca(pt(an),pt(Bn)),n,r,new ca(pt(te[ws]),pt(cn[ur]))),an=l(jn.a,17).a,Bn=l(jn.b,17).a)}function WIn(e,t,n){var r,a,o,f,g,w,E,C,L,B,z,V,J,te,fe,Te;if(r=t,w=n,e.b&&r.j==(Ct(),er)&&w.j==(Ct(),er)&&(Te=r,r=w,w=Te),Hu(e.a,r)){if(W0(l(cr(e.a,r),49),w))return 1}else ki(e.a,r,new Ks);if(Hu(e.a,w)){if(W0(l(cr(e.a,w),49),r))return-1}else ki(e.a,w,new Ks);if(Hu(e.d,r)){if(W0(l(cr(e.d,r),49),w))return-1}else ki(e.d,r,new Ks);if(Hu(e.d,w)){if(W0(l(cr(e.a,w),49),r))return 1}else ki(e.d,w,new Ks);if(r.j!=w.j)return fe=Bln(r.j,w.j),fe==-1?df(e,w,r):df(e,r,w),fe;if(r.e.c.length!=0&&w.e.c.length!=0){if(e.b&&(fe=j0t(r,w),fe!=0))return fe==-1?df(e,w,r):fe==1&&df(e,r,w),fe;if(o=l(jt(r.e,0),18).c.i,C=l(jt(w.e,0),18).c.i,o==C)return a=l(Q(l(jt(r.e,0),18),(ft(),Ki)),17).a,E=l(Q(l(jt(w.e,0),18),Ki),17).a,a>E?df(e,r,w):df(e,w,r),aE?1:0;for(V=e.c,J=0,te=V.length;JE?df(e,r,w):df(e,w,r),aE?1:0):e.b&&(fe=j0t(r,w),fe!=0)?(fe==-1?df(e,w,r):fe==1&&df(e,r,w),fe):(f=0,L=0,ns(l(jt(r.g,0),18),Ki)&&(f=l(Q(l(jt(r.g,0),18),Ki),17).a),ns(l(jt(w.g,0),18),Ki)&&(L=l(Q(l(jt(r.g,0),18),Ki),17).a),g&&g==B?Rt(Bt(Q(l(jt(r.g,0),18),W1)))&&!Rt(Bt(Q(l(jt(w.g,0),18),W1)))?(df(e,r,w),1):!Rt(Bt(Q(l(jt(r.g,0),18),W1)))&&Rt(Bt(Q(l(jt(w.g,0),18),W1)))?(df(e,w,r),-1):(f>L?df(e,r,w):df(e,w,r),fL?1:0):(e.f&&(e.f._b(g)&&(f=l(e.f.xc(g),17).a),e.f._b(B)&&(L=l(e.f.xc(B),17).a)),f>L?df(e,r,w):df(e,w,r),fL?1:0))):r.e.c.length!=0&&w.g.c.length!=0?(df(e,r,w),1):r.g.c.length!=0&&w.e.c.length!=0?(df(e,w,r),-1):ns(r,(ft(),Ki))&&ns(w,Ki)?(a=l(Q(r,Ki),17).a,E=l(Q(w,Ki),17).a,a>E?df(e,r,w):df(e,w,r),aE?1:0):(df(e,w,r),-1)}function YIn(e){e.gb||(e.gb=!0,e.b=qc(e,0),Ss(e.b,18),is(e.b,19),e.a=qc(e,1),Ss(e.a,1),is(e.a,2),is(e.a,3),is(e.a,4),is(e.a,5),e.o=qc(e,2),Ss(e.o,8),Ss(e.o,9),is(e.o,10),is(e.o,11),is(e.o,12),is(e.o,13),is(e.o,14),is(e.o,15),is(e.o,16),is(e.o,17),is(e.o,18),is(e.o,19),is(e.o,20),is(e.o,21),is(e.o,22),is(e.o,23),sc(e.o),sc(e.o),sc(e.o),sc(e.o),sc(e.o),sc(e.o),sc(e.o),sc(e.o),sc(e.o),sc(e.o),e.p=qc(e,3),Ss(e.p,2),Ss(e.p,3),Ss(e.p,4),Ss(e.p,5),is(e.p,6),is(e.p,7),sc(e.p),sc(e.p),e.q=qc(e,4),Ss(e.q,8),e.v=qc(e,5),is(e.v,9),sc(e.v),sc(e.v),sc(e.v),e.w=qc(e,6),Ss(e.w,2),Ss(e.w,3),Ss(e.w,4),is(e.w,5),e.B=qc(e,7),is(e.B,1),sc(e.B),sc(e.B),sc(e.B),e.Q=qc(e,8),is(e.Q,0),sc(e.Q),e.R=qc(e,9),Ss(e.R,1),e.S=qc(e,10),sc(e.S),sc(e.S),sc(e.S),sc(e.S),sc(e.S),sc(e.S),sc(e.S),sc(e.S),sc(e.S),sc(e.S),sc(e.S),sc(e.S),sc(e.S),sc(e.S),sc(e.S),e.T=qc(e,11),is(e.T,10),is(e.T,11),is(e.T,12),is(e.T,13),is(e.T,14),sc(e.T),sc(e.T),e.U=qc(e,12),Ss(e.U,2),Ss(e.U,3),is(e.U,4),is(e.U,5),is(e.U,6),is(e.U,7),sc(e.U),e.V=qc(e,13),is(e.V,10),e.W=qc(e,14),Ss(e.W,18),Ss(e.W,19),Ss(e.W,20),is(e.W,21),is(e.W,22),is(e.W,23),e.bb=qc(e,15),Ss(e.bb,10),Ss(e.bb,11),Ss(e.bb,12),Ss(e.bb,13),Ss(e.bb,14),Ss(e.bb,15),Ss(e.bb,16),is(e.bb,17),sc(e.bb),sc(e.bb),e.eb=qc(e,16),Ss(e.eb,2),Ss(e.eb,3),Ss(e.eb,4),Ss(e.eb,5),Ss(e.eb,6),Ss(e.eb,7),is(e.eb,8),is(e.eb,9),e.ab=qc(e,17),Ss(e.ab,0),Ss(e.ab,1),e.H=qc(e,18),is(e.H,0),is(e.H,1),is(e.H,2),is(e.H,3),is(e.H,4),is(e.H,5),sc(e.H),e.db=qc(e,19),is(e.db,2),e.c=Ti(e,20),e.d=Ti(e,21),e.e=Ti(e,22),e.f=Ti(e,23),e.i=Ti(e,24),e.g=Ti(e,25),e.j=Ti(e,26),e.k=Ti(e,27),e.n=Ti(e,28),e.r=Ti(e,29),e.s=Ti(e,30),e.t=Ti(e,31),e.u=Ti(e,32),e.fb=Ti(e,33),e.A=Ti(e,34),e.C=Ti(e,35),e.D=Ti(e,36),e.F=Ti(e,37),e.G=Ti(e,38),e.I=Ti(e,39),e.J=Ti(e,40),e.L=Ti(e,41),e.M=Ti(e,42),e.N=Ti(e,43),e.O=Ti(e,44),e.P=Ti(e,45),e.X=Ti(e,46),e.Y=Ti(e,47),e.Z=Ti(e,48),e.$=Ti(e,49),e._=Ti(e,50),e.cb=Ti(e,51),e.K=Ti(e,52))}function XIn(e,t,n){var r,a,o,f,g,w,E,C,L,B,z,V,J,te,fe,Te,Me,$e,Ze,ot,St,cn,an,Bn,jn,ur;for(f=new os,ot=l(Q(n,(Nt(),Rh)),88),J=0,Ka(f,(!t.a&&(t.a=new nt(Ai,t,10,11)),t.a));f.b!=0;)C=l(f.b==0?null:(mr(f.b!=0),af(f,f.a.a)),27),E=ds(C),(qe(at(E,yg))!==qe((Ed(),E2))||qe(at(E,dv))===qe((l2(),BT))||qe(at(E,dv))===qe((l2(),PT))||Rt(Bt(at(E,f3)))||qe(at(E,g4))!==qe((Km(),c4))||qe(at(E,zb))===qe((Nf(),v3))||qe(at(E,zb))===qe((Nf(),x4))||qe(at(E,pv))===qe((p2(),WT))||qe(at(E,pv))===qe((p2(),YT)))&&!Rt(Bt(at(C,fW)))&&Hi(C,(ft(),Ki),pt(J++)),fe=!Rt(Bt(at(C,mv))),fe&&(B=(!C.a&&(C.a=new nt(Ai,C,10,11)),C.a).i!=0,V=Cxn(C),z=qe(at(C,p4))===qe((rp(),A2)),ur=!P1(C,(pi(),eC))||Sut(ei(at(C,eC))),$e=null,ur&&z&&(B||V)&&($e=Pmt(C),rt($e,Rh,ot),ns($e,CB)&&NJe(new D8e(ze(Ge(Q($e,CB)))),$e),l(at(C,bv),181).gc()!=0&&(L=$e,Is(new bn(null,(!C.c&&(C.c=new nt(Hl,C,9,9)),new kn(C.c,16))),new zWe(L)),_bt(C,$e))),St=n,cn=l(cr(e.a,ds(C)),10),cn&&(St=cn.e),Me=cwt(e,C,St),$e&&(Me.e=$e,$e.e=Me,Ka(f,(!C.a&&(C.a=new nt(Ai,C,10,11)),C.a))));for(J=0,Cs(f,t,f.c.b,f.c);f.b!=0;){for(o=l(f.b==0?null:(mr(f.b!=0),af(f,f.a.a)),27),w=new or((!o.b&&(o.b=new nt(js,o,12,3)),o.b));w.e!=w.i.gc();)g=l(gr(w),74),emt(g),(qe(at(t,yg))!==qe((Ed(),E2))||qe(at(t,dv))===qe((l2(),BT))||qe(at(t,dv))===qe((l2(),PT))||Rt(Bt(at(t,f3)))||qe(at(t,g4))!==qe((Km(),c4))||qe(at(t,zb))===qe((Nf(),v3))||qe(at(t,zb))===qe((Nf(),x4))||qe(at(t,pv))===qe((p2(),WT))||qe(at(t,pv))===qe((p2(),YT)))&&Hi(g,(ft(),Ki),pt(J++)),Bn=bc(l(Oe((!g.b&&(g.b=new Ln(_r,g,4,7)),g.b),0),84)),jn=bc(l(Oe((!g.c&&(g.c=new Ln(_r,g,5,8)),g.c),0),84)),!(Rt(Bt(at(g,mv)))||Rt(Bt(at(Bn,mv)))||Rt(Bt(at(jn,mv))))&&(te=qw(g)&&Rt(Bt(at(Bn,b4)))&&Rt(Bt(at(g,gv))),Ze=o,te||Ly(jn,Bn)?Ze=Bn:Ly(Bn,jn)&&(Ze=jn),St=n,cn=l(cr(e.a,Ze),10),cn&&(St=cn.e),Te=Wke(e,g,Ze,St),rt(Te,(ft(),RLe),XCn(e,g,t,n)));if(z=qe(at(o,p4))===qe((rp(),A2)),z)for(a=new or((!o.a&&(o.a=new 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pn(lfe,0),k9t=L1e,x9t=mB,L9t=CW,D9t=CW,T9t=dde,Wxt=(rp(),A2),e9t=HL,Gxt=HL,Hxt=HL,Vxt=A2,q9t=iM,H9t=rM,R9t=rM,$9t=rM,U9t=wde,Y9t=iM,W9t=iM,h9t=(ip(),s9),d9t=s9,g9t=aM,o9t=JB,ckt=XT,ukt=k4,hkt=XT,fkt=k4,vkt=XT,wkt=k4,gkt=_1e,bkt=YK,Dkt=XT,Ikt=k4,Akt=XT,Lkt=k4,Ekt=k4,xkt=k4,Ckt=k4}function JIn(e,t,n){var r,a,o,f,g,w,E,C,L,B,z,V,J,te,fe,Te,Me,$e,Ze,ot,St,cn,an,Bn,jn,ur,oi,ws,Vl,lc,Hh,f7,P2,L0,M0,_v,h9,rm,f9,qd,_g,S3,d9,d7,Hd,Av,yp,IAt,sBe,_3,YM,lpe,g9,XM,F4,QM,hpe,OAt;for(sBe=0,oi=t,lc=0,P2=oi.length;lc0&&(e.a[qd.p]=sBe++)}for(XM=0,ws=n,Hh=0,L0=ws.length;Hh0;){for(qd=(mr(d7.b>0),l(d7.a.Xb(d7.c=--d7.b),12)),d9=0,g=new G(qd.e);g.a0&&(qd.j==(Ct(),Qn)?(e.a[qd.p]=XM,++XM):(e.a[qd.p]=XM+M0+h9,++h9))}XM+=h9}for(S3=new Pr,V=new bd,ur=t,Vl=0,f7=ur.length;VlE.b&&(E.b=Hd)):qd.i.c==IAt&&(HdE.c&&(E.c=Hd));for(nE(J,0,J.length,null),g9=We(Vr,di,28,J.length,15,1),r=We(Vr,di,28,XM+1,15,1),fe=0;fe0;)St%2>0&&(a+=hpe[St+1]),St=(St-1)/2|0,++hpe[St];for(an=We(MEt,Rn,374,J.length*2,0,1),$e=0;$e0&&GO(Vl.f),at(fe,BNe)!=null&&(g=l(at(fe,BNe),347),S3=g.Tg(fe),F5(fe,b.Math.max(fe.g,S3.a),b.Math.max(fe.f,S3.b)));if(L0=l(at(t,_2),107),z=t.g-(L0.b+L0.c),B=t.f-(L0.d+L0.a),Hd.bh("Available Child Area: ("+z+"|"+B+")"),Hi(t,Z6,z/B),sdt(t,a,r.eh(f7)),l(at(t,i9),280)==dY&&(Uke(t),F5(t,L0.b+ze(Ge(at(t,t7)))+L0.c,L0.d+ze(Ge(at(t,e7)))+L0.a)),Hd.bh("Executed layout algorithm: "+ei(at(t,eC))+" on node "+t.k),l(at(t,i9),280)==L4){if(z<0||B<0)throw ue(new Vp("The size defined by the parent parallel node is too small for the space provided by the paddings of the child hierarchical node. "+t.k));for(P1(t,t7)||P1(t,e7)||Uke(t),J=ze(Ge(at(t,t7))),V=ze(Ge(at(t,e7))),Hd.bh("Desired Child Area: ("+J+"|"+V+")"),_v=z/J,h9=B/V,M0=b.Math.min(_v,b.Math.min(h9,ze(Ge(at(t,qSt))))),Hi(t,aY,M0),Hd.bh(t.k+" -- Local Scale Factor (X|Y): ("+_v+"|"+h9+")"),$e=l(at(t,UB),21),o=0,f=0,M0<_v&&($e.Hc((Ym(),EM))?o=(z/2-J*M0/2)/M0:$e.Hc(TM)&&(o=(z-J*M0)/M0)),M0'?":vn(L4t,e)?"'(?<' or '(? toIndex: ",fEe=", toIndex: ",dEe="Index: ",gEe=", Size: ",oT="org.eclipse.elk.alg.common",ii={50:1},Jwt="org.eclipse.elk.alg.common.compaction",Zwt="Scanline/EventHandler",gg="org.eclipse.elk.alg.common.compaction.oned",e3t="CNode belongs to another CGroup.",t3t="ISpacingsHandler/1",phe="The ",bhe=" instance has been finished already.",n3t="The direction ",r3t=" is not supported by the CGraph instance.",i3t="OneDimensionalCompactor",s3t="OneDimensionalCompactor/lambda$0$Type",a3t="Quadruplet",o3t="ScanlineConstraintCalculator",c3t="ScanlineConstraintCalculator/ConstraintsScanlineHandler",u3t="ScanlineConstraintCalculator/ConstraintsScanlineHandler/lambda$0$Type",l3t="ScanlineConstraintCalculator/Timestamp",h3t="ScanlineConstraintCalculator/lambda$0$Type",Ld={178:1,46:1},mhe="org.eclipse.elk.alg.common.compaction.options",Nc="org.eclipse.elk.core.data",pEe="org.eclipse.elk.polyomino.traversalStrategy",bEe="org.eclipse.elk.polyomino.lowLevelSort",mEe="org.eclipse.elk.polyomino.highLevelSort",vEe="org.eclipse.elk.polyomino.fill",Pf={134:1},vhe="polyomino",oL="org.eclipse.elk.alg.common.networksimplex",pg={183:1,3:1,4:1},f3t="org.eclipse.elk.alg.common.nodespacing",ev="org.eclipse.elk.alg.common.nodespacing.cellsystem",cT="CENTER",d3t={217:1,336:1},wEe={3:1,4:1,5:1,603:1},Mx="LEFT",Dx="RIGHT",yEe="Vertical alignment cannot be null",xEe="BOTTOM",tG="org.eclipse.elk.alg.common.nodespacing.internal",cL="UNDEFINED",H1=.01,DP="org.eclipse.elk.alg.common.nodespacing.internal.algorithm",g3t="LabelPlacer/lambda$0$Type",p3t="LabelPlacer/lambda$1$Type",b3t="portRatioOrPosition",uT="org.eclipse.elk.alg.common.overlaps",whe="DOWN",Md="org.eclipse.elk.alg.common.polyomino",nG="NORTH",yhe="EAST",xhe="SOUTH",khe="WEST",rG="org.eclipse.elk.alg.common.polyomino.structures",kEe="Direction",Ehe="Grid is only of size ",The=". Requested point (",Che=") is out of bounds.",iG=" Given center based coordinates were (",IP="org.eclipse.elk.graph.properties",m3t="IPropertyHolder",EEe={3:1,96:1,137:1},Ix="org.eclipse.elk.alg.common.spore",v3t="org.eclipse.elk.alg.common.utils",tv={205:1},v6="org.eclipse.elk.core",w3t="Connected Components Compaction",y3t="org.eclipse.elk.alg.disco",sG="org.eclipse.elk.alg.disco.graph",She="org.eclipse.elk.alg.disco.options",TEe="CompactionStrategy",CEe="org.eclipse.elk.disco.componentCompaction.strategy",SEe="org.eclipse.elk.disco.componentCompaction.componentLayoutAlgorithm",_Ee="org.eclipse.elk.disco.debug.discoGraph",AEe="org.eclipse.elk.disco.debug.discoPolys",x3t="componentCompaction",nv="org.eclipse.elk.disco",_he="org.eclipse.elk.spacing.componentComponent",Ahe="org.eclipse.elk.edge.thickness",Ox="org.eclipse.elk.aspectRatio",Xw="org.eclipse.elk.padding",w6="org.eclipse.elk.alg.disco.transform",Lhe=1.5707963267948966,y6=17976931348623157e292,Qy={3:1,4:1,5:1,198:1},k3t={3:1,6:1,4:1,5:1,100:1,115:1},Mhe="org.eclipse.elk.alg.force",LEe="ComponentsProcessor",E3t="ComponentsProcessor/1",MEe="ElkGraphImporter/lambda$0$Type",OP="org.eclipse.elk.alg.force.graph",T3t="Component Layout",DEe="org.eclipse.elk.alg.force.model",aG="org.eclipse.elk.force.model",IEe="org.eclipse.elk.force.iterations",OEe="org.eclipse.elk.force.repulsivePower",Dhe="org.eclipse.elk.force.temperature",Dd=.001,Ihe="org.eclipse.elk.force.repulsion",uL="org.eclipse.elk.alg.force.options",lT=1.600000023841858,Yu="org.eclipse.elk.force",NP="org.eclipse.elk.priority",Jy="org.eclipse.elk.spacing.nodeNode",Ohe="org.eclipse.elk.spacing.edgeLabel",oG="org.eclipse.elk.randomSeed",lL="org.eclipse.elk.separateConnectedComponents",hL="org.eclipse.elk.interactive",Nhe="org.eclipse.elk.portConstraints",cG="org.eclipse.elk.edgeLabels.inline",fL="org.eclipse.elk.omitNodeMicroLayout",hT="org.eclipse.elk.nodeSize.fixedGraphSize",Nx="org.eclipse.elk.nodeSize.options",x6="org.eclipse.elk.nodeSize.constraints",fT="org.eclipse.elk.nodeLabels.placement",dT="org.eclipse.elk.portLabels.placement",PP="org.eclipse.elk.topdownLayout",BP="org.eclipse.elk.topdown.scaleFactor",FP="org.eclipse.elk.topdown.hierarchicalNodeWidth",RP="org.eclipse.elk.topdown.hierarchicalNodeAspectRatio",Qw="org.eclipse.elk.topdown.nodeType",NEe="origin",C3t="random",S3t="boundingBox.upLeft",_3t="boundingBox.lowRight",PEe="org.eclipse.elk.stress.fixed",BEe="org.eclipse.elk.stress.desiredEdgeLength",FEe="org.eclipse.elk.stress.dimension",REe="org.eclipse.elk.stress.epsilon",jEe="org.eclipse.elk.stress.iterationLimit",Mb="org.eclipse.elk.stress",A3t="ELK Stress",Px="org.eclipse.elk.nodeSize.minimum",uG="org.eclipse.elk.alg.force.stress",L3t="Layered layout",Bx="org.eclipse.elk.alg.layered",jP="org.eclipse.elk.alg.layered.compaction.components",dL="org.eclipse.elk.alg.layered.compaction.oned",lG="org.eclipse.elk.alg.layered.compaction.oned.algs",rv="org.eclipse.elk.alg.layered.compaction.recthull",V1="org.eclipse.elk.alg.layered.components",Id="NONE",$Ee="MODEL_ORDER",au={3:1,6:1,4:1,9:1,5:1,126:1},M3t={3:1,6:1,4:1,5:1,150:1,100:1,115:1},hG="org.eclipse.elk.alg.layered.compound",ts={47:1},Cu="org.eclipse.elk.alg.layered.graph",Phe=" -> ",D3t="Not supported by LGraph",zEe="Port side is undefined",Bhe={3:1,6:1,4:1,5:1,483:1,150:1,100:1,115:1},m2={3:1,6:1,4:1,5:1,150:1,199:1,210:1,100:1,115:1},I3t={3:1,6:1,4:1,5:1,150:1,2042:1,210:1,100:1,115:1},O3t=`([{"' \r +`,N3t=`)]}"' \r +`,P3t="The given string contains parts that cannot be parsed as numbers.",$P="org.eclipse.elk.core.math",B3t={3:1,4:1,140:1,214:1,423:1},F3t={3:1,4:1,107:1,214:1,423:1},v2="org.eclipse.elk.alg.layered.graph.transform",R3t="ElkGraphImporter",j3t="ElkGraphImporter/lambda$1$Type",$3t="ElkGraphImporter/lambda$2$Type",z3t="ElkGraphImporter/lambda$4$Type",rr="org.eclipse.elk.alg.layered.intermediate",q3t="Node margin calculation",H3t="ONE_SIDED_GREEDY_SWITCH",V3t="TWO_SIDED_GREEDY_SWITCH",Fhe="No implementation is available for the layout processor ",Rhe="IntermediateProcessorStrategy",jhe="Node '",U3t="FIRST_SEPARATE",G3t="LAST_SEPARATE",K3t="Odd port side processing",aa="org.eclipse.elk.alg.layered.intermediate.compaction",gL="org.eclipse.elk.alg.layered.intermediate.greedyswitch",bg="org.eclipse.elk.alg.layered.p3order.counting",zP={230:1},Fx="org.eclipse.elk.alg.layered.intermediate.loops",Bh="org.eclipse.elk.alg.layered.intermediate.loops.ordering",Db="org.eclipse.elk.alg.layered.intermediate.loops.routing",qEe="org.eclipse.elk.alg.layered.intermediate.preserveorder",Od="org.eclipse.elk.alg.layered.intermediate.wrapping",ou="org.eclipse.elk.alg.layered.options",$he="INTERACTIVE",HEe="GREEDY",W3t="DEPTH_FIRST",Y3t="EDGE_LENGTH",X3t="SELF_LOOPS",Q3t="firstTryWithInitialOrder",VEe="org.eclipse.elk.layered.directionCongruency",UEe="org.eclipse.elk.layered.feedbackEdges",fG="org.eclipse.elk.layered.interactiveReferencePoint",GEe="org.eclipse.elk.layered.mergeEdges",KEe="org.eclipse.elk.layered.mergeHierarchyEdges",WEe="org.eclipse.elk.layered.allowNonFlowPortsToSwitchSides",YEe="org.eclipse.elk.layered.portSortingStrategy",XEe="org.eclipse.elk.layered.thoroughness",QEe="org.eclipse.elk.layered.unnecessaryBendpoints",JEe="org.eclipse.elk.layered.generatePositionAndLayerIds",zhe="org.eclipse.elk.layered.cycleBreaking.strategy",qP="org.eclipse.elk.layered.layering.strategy",ZEe="org.eclipse.elk.layered.layering.layerConstraint",eTe="org.eclipse.elk.layered.layering.layerChoiceConstraint",tTe="org.eclipse.elk.layered.layering.layerId",qhe="org.eclipse.elk.layered.layering.minWidth.upperBoundOnWidth",Hhe="org.eclipse.elk.layered.layering.minWidth.upperLayerEstimationScalingFactor",Vhe="org.eclipse.elk.layered.layering.nodePromotion.strategy",Uhe="org.eclipse.elk.layered.layering.nodePromotion.maxIterations",Ghe="org.eclipse.elk.layered.layering.coffmanGraham.layerBound",pL="org.eclipse.elk.layered.crossingMinimization.strategy",nTe="org.eclipse.elk.layered.crossingMinimization.forceNodeModelOrder",Khe="org.eclipse.elk.layered.crossingMinimization.hierarchicalSweepiness",Whe="org.eclipse.elk.layered.crossingMinimization.semiInteractive",rTe="org.eclipse.elk.layered.crossingMinimization.inLayerPredOf",iTe="org.eclipse.elk.layered.crossingMinimization.inLayerSuccOf",sTe="org.eclipse.elk.layered.crossingMinimization.positionChoiceConstraint",aTe="org.eclipse.elk.layered.crossingMinimization.positionId",oTe="org.eclipse.elk.layered.crossingMinimization.greedySwitch.activationThreshold",Yhe="org.eclipse.elk.layered.crossingMinimization.greedySwitch.type",dG="org.eclipse.elk.layered.crossingMinimization.greedySwitchHierarchical.type",k6="org.eclipse.elk.layered.nodePlacement.strategy",gG="org.eclipse.elk.layered.nodePlacement.favorStraightEdges",Xhe="org.eclipse.elk.layered.nodePlacement.bk.edgeStraightening",Qhe="org.eclipse.elk.layered.nodePlacement.bk.fixedAlignment",Jhe="org.eclipse.elk.layered.nodePlacement.linearSegments.deflectionDampening",Zhe="org.eclipse.elk.layered.nodePlacement.networkSimplex.nodeFlexibility",efe="org.eclipse.elk.layered.nodePlacement.networkSimplex.nodeFlexibility.default",cTe="org.eclipse.elk.layered.edgeRouting.selfLoopDistribution",uTe="org.eclipse.elk.layered.edgeRouting.selfLoopOrdering",pG="org.eclipse.elk.layered.edgeRouting.splines.mode",bG="org.eclipse.elk.layered.edgeRouting.splines.sloppy.layerSpacingFactor",tfe="org.eclipse.elk.layered.edgeRouting.polyline.slopedEdgeZoneWidth",lTe="org.eclipse.elk.layered.spacing.baseValue",hTe="org.eclipse.elk.layered.spacing.edgeNodeBetweenLayers",fTe="org.eclipse.elk.layered.spacing.edgeEdgeBetweenLayers",dTe="org.eclipse.elk.layered.spacing.nodeNodeBetweenLayers",gTe="org.eclipse.elk.layered.priority.direction",pTe="org.eclipse.elk.layered.priority.shortness",bTe="org.eclipse.elk.layered.priority.straightness",nfe="org.eclipse.elk.layered.compaction.connectedComponents",mTe="org.eclipse.elk.layered.compaction.postCompaction.strategy",vTe="org.eclipse.elk.layered.compaction.postCompaction.constraints",mG="org.eclipse.elk.layered.highDegreeNodes.treatment",rfe="org.eclipse.elk.layered.highDegreeNodes.threshold",ife="org.eclipse.elk.layered.highDegreeNodes.treeHeight",fp="org.eclipse.elk.layered.wrapping.strategy",vG="org.eclipse.elk.layered.wrapping.additionalEdgeSpacing",wG="org.eclipse.elk.layered.wrapping.correctionFactor",bL="org.eclipse.elk.layered.wrapping.cutting.strategy",sfe="org.eclipse.elk.layered.wrapping.cutting.cuts",afe="org.eclipse.elk.layered.wrapping.cutting.msd.freedom",yG="org.eclipse.elk.layered.wrapping.validify.strategy",xG="org.eclipse.elk.layered.wrapping.validify.forbiddenIndices",kG="org.eclipse.elk.layered.wrapping.multiEdge.improveCuts",EG="org.eclipse.elk.layered.wrapping.multiEdge.distancePenalty",ofe="org.eclipse.elk.layered.wrapping.multiEdge.improveWrappedEdges",wTe="org.eclipse.elk.layered.edgeLabels.sideSelection",yTe="org.eclipse.elk.layered.edgeLabels.centerLabelPlacementStrategy",TG="org.eclipse.elk.layered.considerModelOrder.strategy",xTe="org.eclipse.elk.layered.considerModelOrder.portModelOrder",kTe="org.eclipse.elk.layered.considerModelOrder.noModelOrder",cfe="org.eclipse.elk.layered.considerModelOrder.components",ETe="org.eclipse.elk.layered.considerModelOrder.longEdgeStrategy",ufe="org.eclipse.elk.layered.considerModelOrder.crossingCounterNodeInfluence",lfe="org.eclipse.elk.layered.considerModelOrder.crossingCounterPortInfluence",hfe="layering",J3t="layering.minWidth",Z3t="layering.nodePromotion",gT="crossingMinimization",CG="org.eclipse.elk.hierarchyHandling",eyt="crossingMinimization.greedySwitch",tyt="nodePlacement",nyt="nodePlacement.bk",ryt="edgeRouting",HP="org.eclipse.elk.edgeRouting",U1="spacing",TTe="priority",CTe="compaction",iyt="compaction.postCompaction",syt="Specifies whether and how post-process compaction is applied.",STe="highDegreeNodes",_Te="wrapping",ayt="wrapping.cutting",oyt="wrapping.validify",ATe="wrapping.multiEdge",ffe="edgeLabels",mL="considerModelOrder",LTe="org.eclipse.elk.spacing.commentComment",MTe="org.eclipse.elk.spacing.commentNode",DTe="org.eclipse.elk.spacing.edgeEdge",dfe="org.eclipse.elk.spacing.edgeNode",ITe="org.eclipse.elk.spacing.labelLabel",OTe="org.eclipse.elk.spacing.labelPortHorizontal",NTe="org.eclipse.elk.spacing.labelPortVertical",PTe="org.eclipse.elk.spacing.labelNode",BTe="org.eclipse.elk.spacing.nodeSelfLoop",FTe="org.eclipse.elk.spacing.portPort",RTe="org.eclipse.elk.spacing.individual",jTe="org.eclipse.elk.port.borderOffset",$Te="org.eclipse.elk.noLayout",zTe="org.eclipse.elk.port.side",VP="org.eclipse.elk.debugMode",qTe="org.eclipse.elk.alignment",HTe="org.eclipse.elk.insideSelfLoops.activate",VTe="org.eclipse.elk.insideSelfLoops.yo",gfe="org.eclipse.elk.direction",UTe="org.eclipse.elk.nodeLabels.padding",GTe="org.eclipse.elk.portLabels.nextToPortIfPossible",KTe="org.eclipse.elk.portLabels.treatAsGroup",WTe="org.eclipse.elk.portAlignment.default",YTe="org.eclipse.elk.portAlignment.north",XTe="org.eclipse.elk.portAlignment.south",QTe="org.eclipse.elk.portAlignment.west",JTe="org.eclipse.elk.portAlignment.east",SG="org.eclipse.elk.contentAlignment",ZTe="org.eclipse.elk.junctionPoints",eCe="org.eclipse.elk.edgeLabels.placement",tCe="org.eclipse.elk.port.index",nCe="org.eclipse.elk.commentBox",rCe="org.eclipse.elk.hypernode",iCe="org.eclipse.elk.port.anchor",pfe="org.eclipse.elk.partitioning.activate",bfe="org.eclipse.elk.partitioning.partition",_G="org.eclipse.elk.position",sCe="org.eclipse.elk.margins",aCe="org.eclipse.elk.spacing.portsSurrounding",AG="org.eclipse.elk.interactiveLayout",Uc="org.eclipse.elk.core.util",oCe={3:1,4:1,5:1,601:1},cyt="NETWORK_SIMPLEX",cCe="SIMPLE",Uo={106:1,47:1},LG="org.eclipse.elk.alg.layered.p1cycles",dp="org.eclipse.elk.alg.layered.p2layers",uCe={413:1,230:1},uyt={846:1,3:1,4:1},Cl="org.eclipse.elk.alg.layered.p3order",Go="org.eclipse.elk.alg.layered.p4nodes",lyt={3:1,4:1,5:1,854:1},Nd=1e-5,Ib="org.eclipse.elk.alg.layered.p4nodes.bk",mfe="org.eclipse.elk.alg.layered.p5edges",i1="org.eclipse.elk.alg.layered.p5edges.orthogonal",vfe="org.eclipse.elk.alg.layered.p5edges.orthogonal.direction",wfe=1e-6,Zy="org.eclipse.elk.alg.layered.p5edges.splines",yfe=.09999999999999998,MG=1e-8,hyt=4.71238898038469,lCe=3.141592653589793,gp="org.eclipse.elk.alg.mrtree",xfe=.10000000149011612,DG="SUPER_ROOT",vL="org.eclipse.elk.alg.mrtree.graph",hCe=-17976931348623157e292,Su="org.eclipse.elk.alg.mrtree.intermediate",fyt="Processor compute fanout",IG={3:1,6:1,4:1,5:1,534:1,100:1,115:1},dyt="Set neighbors in level",UP="org.eclipse.elk.alg.mrtree.options",gyt="DESCENDANTS",fCe="org.eclipse.elk.mrtree.compaction",dCe="org.eclipse.elk.mrtree.edgeEndTextureLength",gCe="org.eclipse.elk.mrtree.treeLevel",pCe="org.eclipse.elk.mrtree.positionConstraint",bCe="org.eclipse.elk.mrtree.weighting",mCe="org.eclipse.elk.mrtree.edgeRoutingMode",vCe="org.eclipse.elk.mrtree.searchOrder",pyt="Position Constraint",Xu="org.eclipse.elk.mrtree",byt="org.eclipse.elk.tree",myt="Processor arrange level",pT="org.eclipse.elk.alg.mrtree.p2order",vh="org.eclipse.elk.alg.mrtree.p4route",wCe="org.eclipse.elk.alg.radial",iv=6.283185307179586,yCe="Before",xCe=5e-324,OG="After",kCe="org.eclipse.elk.alg.radial.intermediate",vyt="COMPACTION",kfe="org.eclipse.elk.alg.radial.intermediate.compaction",wyt={3:1,4:1,5:1,100:1},ECe="org.eclipse.elk.alg.radial.intermediate.optimization",Efe="No implementation is available for the layout option ",wL="org.eclipse.elk.alg.radial.options",TCe="org.eclipse.elk.radial.centerOnRoot",CCe="org.eclipse.elk.radial.orderId",SCe="org.eclipse.elk.radial.radius",NG="org.eclipse.elk.radial.rotate",Tfe="org.eclipse.elk.radial.compactor",Cfe="org.eclipse.elk.radial.compactionStepSize",_Ce="org.eclipse.elk.radial.sorter",ACe="org.eclipse.elk.radial.wedgeCriteria",LCe="org.eclipse.elk.radial.optimizationCriteria",Sfe="org.eclipse.elk.radial.rotation.targetAngle",_fe="org.eclipse.elk.radial.rotation.computeAdditionalWedgeSpace",MCe="org.eclipse.elk.radial.rotation.outgoingEdgeAngles",yyt="Compaction",DCe="rotation",gf="org.eclipse.elk.radial",xyt="org.eclipse.elk.alg.radial.p1position.wedge",ICe="org.eclipse.elk.alg.radial.sorting",kyt=5.497787143782138,Eyt=3.9269908169872414,Tyt=2.356194490192345,Cyt="org.eclipse.elk.alg.rectpacking",PG="org.eclipse.elk.alg.rectpacking.intermediate",Afe="org.eclipse.elk.alg.rectpacking.options",OCe="org.eclipse.elk.rectpacking.trybox",NCe="org.eclipse.elk.rectpacking.currentPosition",PCe="org.eclipse.elk.rectpacking.desiredPosition",BCe="org.eclipse.elk.rectpacking.inNewRow",FCe="org.eclipse.elk.rectpacking.widthApproximation.strategy",RCe="org.eclipse.elk.rectpacking.widthApproximation.targetWidth",jCe="org.eclipse.elk.rectpacking.widthApproximation.optimizationGoal",$Ce="org.eclipse.elk.rectpacking.widthApproximation.lastPlaceShift",zCe="org.eclipse.elk.rectpacking.packing.strategy",qCe="org.eclipse.elk.rectpacking.packing.compaction.rowHeightReevaluation",HCe="org.eclipse.elk.rectpacking.packing.compaction.iterations",VCe="org.eclipse.elk.rectpacking.whiteSpaceElimination.strategy",Lfe="widthApproximation",Syt="Compaction Strategy",_yt="packing.compaction",th="org.eclipse.elk.rectpacking",bT="org.eclipse.elk.alg.rectpacking.p1widthapproximation",BG="org.eclipse.elk.alg.rectpacking.p2packing",Ayt="No Compaction",UCe="org.eclipse.elk.alg.rectpacking.p3whitespaceelimination",GP="org.eclipse.elk.alg.rectpacking.util",FG="No implementation available for 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other."),iMe),(g2(),ps)),wLe),un((r1(),Pn))))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,UEe),""),"Feedback Edges"),"Whether feedback edges should be highlighted by routing around the nodes."),(Hn(),!1)),ya),Ns),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,fG),""),"Interactive Reference Point"),"Determines which point of a node is considered by interactive layout phases."),lMe),ps),PLe),un(Pn)))),Qs(t,fG,zhe,k9t),Qs(t,fG,pL,x9t),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,GEe),""),"Merge Edges"),"Edges that have no ports are merged so they touch the connected nodes at the same points. When this option is disabled, one port is created for each edge directly connected to a node. When it is enabled, all such incoming edges share an input port, and all outgoing edges share an output port."),!1),ya),Ns),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,KEe),""),"Merge Hierarchy-Crossing Edges"),"If hierarchical layout is active, hierarchy-crossing edges use as few hierarchical ports as possible. They are broken by the algorithm, with hierarchical ports inserted as required. Usually, one such port is created for each edge at each hierarchy crossing point. With this option set to true, we try to create as few hierarchical ports as possible in the process. In particular, all edges that form a hyperedge can share a port."),!0),ya),Ns),un(Pn)))),sn(t,new Xt(Iun(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,WEe),""),"Allow Non-Flow Ports To Switch Sides"),"Specifies whether non-flow ports may switch sides if their node's port constraints are either FIXED_SIDE or FIXED_ORDER. A non-flow port is a port on a side that is not part of the currently configured layout flow. For instance, given a left-to-right layout direction, north and south ports would be considered non-flow ports. Further note that the underlying criterium whether to switch sides or not solely relies on the minimization of edge crossings. Hence, edge length and other aesthetics criteria are not addressed."),!1),ya),Ns),un(yv)),he(le(zt,1),dt,2,6,["org.eclipse.elk.layered.northOrSouthPort"])))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,YEe),""),"Port Sorting Strategy"),"Only relevant for nodes with FIXED_SIDE port constraints. Determines the way a node's ports are distributed on the sides of a node if their order is not prescribed. The option is set on parent nodes."),vMe),ps),_De),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,XEe),""),"Thoroughness"),"How much effort should be spent to produce a nice layout."),pt(7)),Tc),ro),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,QEe),""),"Add Unnecessary Bendpoints"),"Adds bend points even if an edge does not change direction. If true, each long edge dummy will contribute a bend point to its edges and hierarchy-crossing edges will always get a bend point where they cross hierarchy boundaries. By default, bend points are only added where an edge changes direction."),!1),ya),Ns),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,JEe),""),"Generate Position and Layer IDs"),"If enabled position id and layer id are generated, which are usually only used internally when setting the interactiveLayout option. This option should be specified on the root node."),!1),ya),Ns),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,zhe),"cycleBreaking"),"Cycle Breaking Strategy"),"Strategy for cycle breaking. Cycle breaking looks for cycles in the graph and determines which edges to reverse to break the cycles. Reversed edges will end up pointing to the opposite direction of regular edges (that is, reversed edges will point left if edges usually point right)."),rMe),ps),mLe),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,qP),hfe),"Node Layering Strategy"),"Strategy for node layering."),dMe),ps),pDe),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,ZEe),hfe),"Layer Constraint"),"Determines a constraint on the placement of the node regarding the layering."),hMe),ps),WLe),un(ha)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,eTe),hfe),"Layer Choice Constraint"),"Allows to set a constraint regarding the layer placement of a node. Let i be the value of teh constraint. Assumed the drawing has n layers and i < n. If set to i, it expresses that the node should be placed in i-th layer. Should i>=n be true then the node is placed in the last layer of the drawing. Note that this option is not part of any of ELK Layered's default configurations but is only evaluated as part of the `InteractiveLayeredGraphVisitor`, which must be applied manually or used via the `DiagramLayoutEngine."),null),Tc),ro),un(ha)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,tTe),hfe),"Layer ID"),"Layer identifier that was calculated by ELK Layered for a node. This is only generated if interactiveLayot or generatePositionAndLayerIds is set."),pt(-1)),Tc),ro),un(ha)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,qhe),J3t),"Upper Bound On Width [MinWidth Layerer]"),"Defines a loose upper bound on the width of the MinWidth layerer. If set to '-1' multiple values are tested and the best result is selected."),pt(4)),Tc),ro),un(Pn)))),Qs(t,qhe,qP,L9t),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,Hhe),J3t),"Upper Layer Estimation Scaling Factor [MinWidth Layerer]"),"Multiplied with Upper Bound On Width for defining an upper bound on the width of layers which haven't been determined yet, but whose maximum width had been (roughly) estimated by the MinWidth algorithm. Compensates for too high estimations. If set to '-1' multiple values are tested and the best result is selected."),pt(2)),Tc),ro),un(Pn)))),Qs(t,Hhe,qP,D9t),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,Vhe),Z3t),"Node Promotion Strategy"),"Reduces number of dummy nodes after layering phase (if possible)."),fMe),ps),TDe),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,Uhe),Z3t),"Max Node Promotion Iterations"),"Limits the number of iterations for node promotion."),pt(0)),Tc),ro),un(Pn)))),Qs(t,Uhe,Vhe,null),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,Ghe),"layering.coffmanGraham"),"Layer Bound"),"The maximum number of nodes allowed per layer."),pt(Ii)),Tc),ro),un(Pn)))),Qs(t,Ghe,qP,T9t),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,pL),gT),"Crossing Minimization Strategy"),"Strategy for crossing minimization."),nMe),ps),dLe),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,nTe),gT),"Force Node Model Order"),"The node order given by the model does not change to produce a better layout. E.g. if node A is before node B in the model this is not changed during crossing minimization. This assumes that the node model order is already respected before crossing minimization. This can be achieved by setting considerModelOrder.strategy to NODES_AND_EDGES."),!1),ya),Ns),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,Khe),gT),"Hierarchical Sweepiness"),"How likely it is to use cross-hierarchy (1) vs bottom-up (-1)."),.1),fo),ta),un(Pn)))),Qs(t,Khe,CG,Wxt),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,Whe),gT),"Semi-Interactive Crossing Minimization"),"Preserves the order of nodes within a layer but still minimizes crossings between edges connecting long edge dummies. Derives the desired order from positions specified by the 'org.eclipse.elk.position' layout option. Requires a crossing minimization strategy that is able to process 'in-layer' constraints."),!1),ya),Ns),un(Pn)))),Qs(t,Whe,pL,e9t),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,rTe),gT),"In Layer Predecessor of"),"Allows to set a constraint which specifies of which node the current node is the predecessor. If set to 's' then the node is the predecessor of 's' and is in the same layer"),null),J6),zt),un(ha)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,iTe),gT),"In Layer Successor of"),"Allows to set a constraint which specifies of which node the current node is the successor. If set to 's' then the node is the successor of 's' and is in the same layer"),null),J6),zt),un(ha)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,sTe),gT),"Position Choice Constraint"),"Allows to set a constraint regarding the position placement of a node in a layer. Assumed the layer in which the node placed includes n other nodes and i < n. If set to i, it expresses that the node should be placed at the i-th position. Should i>=n be true then the node is placed at the last position in the layer. Note that this option is not part of any of ELK Layered's default configurations but is only evaluated as part of the `InteractiveLayeredGraphVisitor`, which must be applied manually or used via the `DiagramLayoutEngine."),null),Tc),ro),un(ha)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,aTe),gT),"Position ID"),"Position within a layer that was determined by ELK Layered for a node. This is only generated if interactiveLayot or generatePositionAndLayerIds is set."),pt(-1)),Tc),ro),un(ha)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,oTe),eyt),"Greedy Switch Activation Threshold"),"By default it is decided automatically if the greedy switch is activated or not. The decision is based on whether the size of the input graph (without dummy nodes) is smaller than the value of this option. A '0' enforces the activation."),pt(40)),Tc),ro),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,Yhe),eyt),"Greedy Switch Crossing Minimization"),"Greedy Switch strategy for crossing minimization. The greedy switch heuristic is executed after the regular crossing minimization as a post-processor. Note that if 'hierarchyHandling' is set to 'INCLUDE_CHILDREN', the 'greedySwitchHierarchical.type' option must be used."),tMe),ps),$1e),un(Pn)))),Qs(t,Yhe,pL,Gxt),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,dG),"crossingMinimization.greedySwitchHierarchical"),"Greedy Switch Crossing Minimization (hierarchical)"),"Activates the greedy switch heuristic in case hierarchical layout is used. The differences to the non-hierarchical case (see 'greedySwitch.type') are: 1) greedy switch is inactive by default, 3) only the option value set on the node at which hierarchical layout starts is relevant, and 2) if it's activated by the user, it properly addresses hierarchy-crossing edges."),eMe),ps),$1e),un(Pn)))),Qs(t,dG,pL,Hxt),Qs(t,dG,CG,Vxt),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,k6),tyt),"Node Placement Strategy"),"Strategy for node placement."),mMe),ps),wDe),un(Pn)))),sn(t,new Xt(nn(tn(rn(Qt(en(Jt(Zt(new Ut,gG),tyt),"Favor Straight Edges Over Balancing"),"Favor straight edges over a balanced node placement. The default behavior is determined automatically based on the used 'edgeRouting'. For an orthogonal style it is set to true, for all other styles to false."),ya),Ns),un(Pn)))),Qs(t,gG,k6,q9t),Qs(t,gG,k6,H9t),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,Xhe),nyt),"BK Edge Straightening"),"Specifies whether the Brandes Koepf node placer tries to increase the number of straight edges at the expense of diagram size. There is a subtle difference to the 'favorStraightEdges' option, which decides whether a balanced placement of the nodes is desired, or not. In bk terms this means combining the four alignments into a single balanced one, or not. This option on the other hand tries to straighten additional edges during the creation of each of the four alignments."),gMe),ps),kLe),un(Pn)))),Qs(t,Xhe,k6,R9t),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,Qhe),nyt),"BK Fixed Alignment"),"Tells the BK node placer to use a certain alignment (out of its four) instead of the one producing the smallest height, or the combination of all four."),pMe),ps),_Le),un(Pn)))),Qs(t,Qhe,k6,$9t),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,Jhe),"nodePlacement.linearSegments"),"Linear Segments Deflection Dampening"),"Dampens the movement of nodes to keep the diagram from getting too large."),.3),fo),ta),un(Pn)))),Qs(t,Jhe,k6,U9t),sn(t,new Xt(nn(tn(rn(Qt(en(Jt(Zt(new Ut,Zhe),"nodePlacement.networkSimplex"),"Node Flexibility"),"Aims at shorter and straighter edges. Two configurations are possible: (a) allow ports to move freely on the side they are assigned to (the order is always defined beforehand), (b) additionally allow to enlarge a node wherever it helps. If this option is not configured for a node, the 'nodeFlexibility.default' value is used, which is specified for the node's parent."),ps),mde),un(ha)))),Qs(t,Zhe,k6,Y9t),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,efe),"nodePlacement.networkSimplex.nodeFlexibility"),"Node Flexibility Default"),"Default value of the 'nodeFlexibility' option for the children of a hierarchical node."),bMe),ps),mde),un(Pn)))),Qs(t,efe,k6,W9t),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,cTe),ryt),"Self-Loop Distribution"),"Alter the distribution of the loops around the node. It only takes effect for PortConstraints.FREE."),oMe),ps),MDe),un(ha)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,uTe),ryt),"Self-Loop Ordering"),"Alter the ordering of the loops they can either be stacked or sequenced. It only takes effect for PortConstraints.FREE."),cMe),ps),DDe),un(ha)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,pG),"edgeRouting.splines"),"Spline Routing Mode"),"Specifies the way control points are assembled for each individual edge. CONSERVATIVE ensures that edges are properly routed around the nodes but feels rather orthogonal at times. SLOPPY uses fewer control points to obtain curvier edge routes but may result in edges overlapping nodes."),uMe),ps),ODe),un(Pn)))),Qs(t,pG,HP,h9t),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,bG),"edgeRouting.splines.sloppy"),"Sloppy Spline Layer Spacing Factor"),"Spacing factor for routing area between layers when using sloppy spline routing."),.2),fo),ta),un(Pn)))),Qs(t,bG,HP,d9t),Qs(t,bG,pG,g9t),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,tfe),"edgeRouting.polyline"),"Sloped Edge Zone Width"),"Width of the strip to the left and to the right of each layer where the polyline edge router is allowed to refrain from ensuring that edges are routed horizontally. This prevents awkward bend points for nodes that extent almost to the edge of their layer."),2),fo),ta),un(Pn)))),Qs(t,tfe,HP,o9t),sn(t,new Xt(nn(tn(rn(Qt(en(Jt(Zt(new Ut,lTe),U1),"Spacing Base Value"),"An optional base value for all other layout options of the 'spacing' group. It can be used to conveniently alter the overall 'spaciousness' of the drawing. Whenever an explicit value is set for the other layout options, this base value will have no effect. The base value is not inherited, i.e. it must be set for each hierarchical node."),fo),ta),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,hTe),U1),"Edge Node Between Layers Spacing"),"The spacing to be preserved between nodes and edges that are routed next to the node's layer. For the spacing between nodes and edges that cross the node's layer 'spacing.edgeNode' is used."),10),fo),ta),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,fTe),U1),"Edge Edge Between Layer Spacing"),"Spacing to be preserved between pairs of edges that are routed between the same pair of layers. Note that 'spacing.edgeEdge' is used for the spacing between pairs of edges crossing the same layer."),10),fo),ta),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,dTe),U1),"Node Node Between Layers Spacing"),"The spacing to be preserved between any pair of nodes of two adjacent layers. Note that 'spacing.nodeNode' is used for the spacing between nodes within the layer itself."),20),fo),ta),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,gTe),TTe),"Direction Priority"),"Defines how important it is to have a certain edge point into the direction of the overall layout. This option is evaluated during the cycle breaking phase."),pt(0)),Tc),ro),un(zd)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,pTe),TTe),"Shortness Priority"),"Defines how important it is to keep an edge as short as possible. This option is evaluated during the layering phase."),pt(0)),Tc),ro),un(zd)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,bTe),TTe),"Straightness Priority"),"Defines how important it is to keep an edge straight, i.e. aligned with one of the two axes. This option is evaluated during node placement."),pt(0)),Tc),ro),un(zd)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,nfe),CTe),w3t),"Tries to further compact components (disconnected sub-graphs)."),!1),ya),Ns),un(Pn)))),Qs(t,nfe,lL,!0),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,mTe),iyt),"Post Compaction Strategy"),syt),XLe),ps),OLe),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,vTe),iyt),"Post Compaction Constraint Calculation"),syt),YLe),ps),hLe),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,mG),STe),"High Degree Node Treatment"),"Makes room around high degree nodes to place leafs and trees."),!1),ya),Ns),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,rfe),STe),"High Degree Node Threshold"),"Whether a node is considered to have a high degree."),pt(16)),Tc),ro),un(Pn)))),Qs(t,rfe,mG,!0),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,ife),STe),"High Degree Node Maximum Tree Height"),"Maximum height of a subtree connected to a high degree node to be moved to separate layers."),pt(5)),Tc),ro),un(Pn)))),Qs(t,ife,mG,!0),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,fp),_Te),"Graph Wrapping Strategy"),"For certain graphs and certain prescribed drawing areas it may be desirable to split the laid out graph into chunks that are placed side by side. The edges that connect different chunks are 'wrapped' around from the end of one chunk to the start of the other chunk. The points between the chunks are referred to as 'cuts'."),xMe),ps),FDe),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,vG),_Te),"Additional Wrapped Edges Spacing"),"To visually separate edges that are wrapped from regularly routed edges an additional spacing value can be specified in form of this layout option. The spacing is added to the regular edgeNode spacing."),10),fo),ta),un(Pn)))),Qs(t,vG,fp,ckt),Qs(t,vG,fp,ukt),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,wG),_Te),"Correction Factor for Wrapping"),"At times and for certain types of graphs the executed wrapping may produce results that are consistently biased in the same fashion: either wrapping to often or to rarely. This factor can be used to correct the bias. Internally, it is simply multiplied with the 'aspect ratio' layout option."),1),fo),ta),un(Pn)))),Qs(t,wG,fp,hkt),Qs(t,wG,fp,fkt),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,bL),ayt),"Cutting Strategy"),"The strategy by which the layer indexes are determined at which the layering crumbles into chunks."),yMe),ps),pLe),un(Pn)))),Qs(t,bL,fp,vkt),Qs(t,bL,fp,wkt),sn(t,new Xt(nn(tn(rn(Qt(en(Jt(Zt(new Ut,sfe),ayt),"Manually Specified Cuts"),"Allows the user to specify her own cuts for a certain graph."),X1),mf),un(Pn)))),Qs(t,sfe,bL,gkt),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,afe),"wrapping.cutting.msd"),"MSD Freedom"),"The MSD cutting strategy starts with an initial guess on the number of chunks the graph should be split into. The freedom specifies how much the strategy may deviate from this guess. E.g. if an initial number of 3 is computed, a freedom of 1 allows 2, 3, and 4 cuts."),wMe),Tc),ro),un(Pn)))),Qs(t,afe,bL,bkt),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,yG),oyt),"Validification Strategy"),"When wrapping graphs, one can specify indices that are not allowed as split points. The validification strategy makes sure every computed split point is allowed."),kMe),ps),BDe),un(Pn)))),Qs(t,yG,fp,Dkt),Qs(t,yG,fp,Ikt),sn(t,new Xt(nn(tn(rn(Qt(en(Jt(Zt(new Ut,xG),oyt),"Valid Indices for Wrapping"),null),X1),mf),un(Pn)))),Qs(t,xG,fp,Akt),Qs(t,xG,fp,Lkt),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,kG),ATe),"Improve Cuts"),"For general graphs it is important that not too many edges wrap backwards. Thus a compromise between evenly-distributed cuts and the total number of cut edges is sought."),!0),ya),Ns),un(Pn)))),Qs(t,kG,fp,Ekt),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,EG),ATe),"Distance Penalty When Improving Cuts"),null),2),fo),ta),un(Pn)))),Qs(t,EG,fp,xkt),Qs(t,EG,kG,!0),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,ofe),ATe),"Improve Wrapped Edges"),"The initial wrapping is performed in a very simple way. As a consequence, edges that wrap from one chunk to another may be unnecessarily long. Activating this option tries to shorten such edges."),!0),ya),Ns),un(Pn)))),Qs(t,ofe,fp,Ckt),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,wTe),ffe),"Edge Label Side Selection"),"Method to decide on edge label sides."),aMe),ps),yLe),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,yTe),ffe),"Edge Center Label Placement Strategy"),"Determines in which layer center labels of long edges should be placed."),sMe),ps),NT),rs(Pn,he(le(xg,1),it,170,0,[S2]))))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,TG),mL),"Consider Model Order"),"Preserves the order of nodes and edges in the model file if this does not lead to additional edge crossings. Depending on the strategy this is not always possible since the node and edge order might be conflicting."),ZLe),ps),SDe),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,xTe),mL),"Consider Port Order"),"If disabled the port order of output ports is derived from the edge order and input ports are ordered by their incoming connections. If enabled all ports are ordered by the port model order."),!1),ya),Ns),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,kTe),mL),"No Model Order"),"Set on a node to not set a model order for this node even though it is a real node."),!1),ya),Ns),un(ha)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,cfe),mL),"Consider Model Order for Components"),"If set to NONE the usual ordering strategy (by cumulative node priority and size of nodes) is used. INSIDE_PORT_SIDES orders the components with external ports only inside the groups with the same port side. FORCE_MODEL_ORDER enforces the mode order on components. This option might produce bad alignments and sub optimal drawings in terms of used area since the ordering should be respected."),QLe),ps),mAe),un(Pn)))),Qs(t,cfe,lL,null),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,ETe),mL),"Long Edge Ordering Strategy"),"Indicates whether long edges are sorted under, over, or equal to nodes that have no connection to a previous layer in a left-to-right or right-to-left layout. Under and over changes to right and left in a vertical layout."),JLe),ps),mDe),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,ufe),mL),"Crossing Counter Node Order Influence"),"Indicates with what percentage (1 for 100%) violations of the node model order are weighted against the crossings e.g. a value of 0.5 means two model order violations are as important as on edge crossing. This allows some edge crossings in favor of preserving the model order. It is advised to set this value to a very small positive value (e.g. 0.001) to have minimal crossing and a optimal node order. Defaults to no influence (0)."),0),fo),ta),un(Pn)))),Qs(t,ufe,TG,null),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,lfe),mL),"Crossing Counter Port Order Influence"),"Indicates with what percentage (1 for 100%) violations of the port model order are weighted against the crossings e.g. a value of 0.5 means two model order violations are as important as on edge crossing. This allows some edge crossings in favor of preserving the model order. It is advised to set this value to a very small positive value (e.g. 0.001) to have minimal crossing and a optimal port order. 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This is used to mark parts of a diagram to avoid their inclusion in the layout graph, or to mark parts of the layout graph to prevent layout engines from processing them. If you wish to exclude the contents of a compound node from automatic layout, while the node itself is still considered on its own layer, use the 'Fixed Layout' algorithm for that node."),!1),ya),Ns),rs(ha,he(le(xg,1),it,170,0,[zd,yv,S2]))))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,Ryt),""),"Scale Factor"),"The scaling factor to be applied to the corresponding node in recursive layout. It causes the corresponding node's size to be adjusted, and its ports and labels to be sized and placed accordingly after the layout of that node has been determined (and before the node itself and its siblings are arranged). The scaling is not reverted afterwards, so the resulting layout graph contains the adjusted size and position data. This option is currently not supported if 'Layout Hierarchy' is set."),1),fo),ta),un(ha)))),sn(t,new Xt(nn(tn(rn(Qt(en(Jt(Zt(new Ut,jyt),""),"Child Area Width"),"The width of the area occupied by the laid out children of a node."),fo),ta),un(Pn)))),sn(t,new Xt(nn(tn(rn(Qt(en(Jt(Zt(new Ut,$yt),""),"Child Area Height"),"The height of the area occupied by the laid out children of a node."),fo),ta),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,PP),""),Dyt),"Turns topdown layout on and off. If this option is enabled, hierarchical layout will be computed first for the root node and then for its children recursively. Layouts are then scaled down to fit the area provided by their parents. Graphs must follow a certain structure for topdown layout to work properly. {@link TopdownNodeTypes.PARALLEL_NODE} nodes must have children of type {@link TopdownNodeTypes.HIERARCHICAL_NODE} and must define {@link topdown.hierarchicalNodeWidth} and {@link topdown.hierarchicalNodeAspectRatio} for their children. Furthermore they need to be laid out using an algorithm that is a {@link TopdownLayoutProvider}. Hierarchical nodes can also be parents of other hierarchical nodes and can optionally use a {@link TopdownSizeApproximator} to dynamically set sizes during topdown layout. In this case {@link topdown.hierarchicalNodeWidth} and {@link topdown.hierarchicalNodeAspectRatio} should be set on the node itself rather than the parent. The values are then used by the size approximator as base values. Hierarchical nodes require the layout option {@link nodeSize.fixedGraphSize} to be true to prevent the algorithm used there from resizing the hierarchical node. This option is not supported if 'Hierarchy Handling' is set to 'INCLUDE_CHILDREN'"),!1),ya),Ns),un(Pn)))),Qs(t,PP,Qw,null),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,zyt),""),"Animate"),"Whether the shift from the old layout to the new computed layout shall be animated."),!0),ya),Ns),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,qyt),""),"Animation Time Factor"),"Factor for computation of animation time. The higher the value, the longer the animation time. If the value is 0, the resulting time is always equal to the minimum defined by 'Minimal Animation Time'."),pt(100)),Tc),ro),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,Hyt),""),"Layout Ancestors"),"Whether the hierarchy levels on the path from the selected element to the root of the diagram shall be included in the layout process."),!1),ya),Ns),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,Vyt),""),"Maximal Animation Time"),"The maximal time for animations, in milliseconds."),pt(4e3)),Tc),ro),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,Uyt),""),"Minimal Animation Time"),"The minimal time for animations, in milliseconds."),pt(400)),Tc),ro),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,Gyt),""),"Progress Bar"),"Whether a progress bar shall be displayed during layout computations."),!1),ya),Ns),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,Kyt),""),"Validate Graph"),"Whether the graph shall be validated before any layout algorithm is applied. If this option is enabled and at least one error is found, the layout process is aborted and a message is shown to the user."),!1),ya),Ns),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,Wyt),""),"Validate Options"),"Whether layout options shall be validated before any layout algorithm is applied. If this option is enabled and at least one error is found, the layout process is aborted and a message is shown to the user."),!0),ya),Ns),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,Yyt),""),"Zoom to Fit"),"Whether the zoom level shall be set to view the whole diagram after layout."),!1),ya),Ns),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,eSe),"box"),"Box Layout Mode"),"Configures the packing mode used by the {@link BoxLayoutProvider}. If SIMPLE is not required (neither priorities are used nor the interactive mode), GROUP_DEC can improve the packing and decrease the area. GROUP_MIXED and GROUP_INC may, in very specific scenarios, work better."),tNe),ps),cPe),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,LTe),U1),"Comment Comment Spacing"),"Spacing to be preserved between a comment box and other comment boxes connected to the same node. The space left between comment boxes of different nodes is controlled by the node-node spacing."),10),fo),ta),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,MTe),U1),"Comment Node Spacing"),"Spacing to be preserved between a node and its connected comment boxes. The space left between a node and the comments of another node is controlled by the node-node spacing."),10),fo),ta),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,_he),U1),"Components Spacing"),"Spacing to be preserved between pairs of connected components. This option is only relevant if 'separateConnectedComponents' is activated."),20),fo),ta),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,DTe),U1),"Edge Spacing"),"Spacing to be preserved between any two edges. Note that while this can somewhat easily be satisfied for the segments of orthogonally drawn edges, it is harder for general polylines or splines."),10),fo),ta),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,Ohe),U1),"Edge Label Spacing"),"The minimal distance to be preserved between a label and the edge it is associated with. Note that the placement of a label is influenced by the 'edgelabels.placement' option."),2),fo),ta),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,dfe),U1),"Edge Node Spacing"),"Spacing to be preserved between nodes and edges."),10),fo),ta),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,ITe),U1),"Label Spacing"),"Determines the amount of space to be left between two labels of the same graph element."),0),fo),ta),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,PTe),U1),"Label Node Spacing"),"Spacing to be preserved between labels and the border of node they are associated with. Note that the placement of a label is influenced by the 'nodelabels.placement' option."),5),fo),ta),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,OTe),U1),"Horizontal spacing between Label and Port"),"Horizontal spacing to be preserved between labels and the ports they are associated with. Note that the placement of a label is influenced by the 'portlabels.placement' option."),1),fo),ta),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,NTe),U1),"Vertical spacing between Label and Port"),"Vertical spacing to be preserved between labels and the ports they are associated with. Note that the placement of a label is influenced by the 'portlabels.placement' option."),1),fo),ta),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,Jy),U1),"Node Spacing"),"The minimal distance to be preserved between each two nodes."),20),fo),ta),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,BTe),U1),"Node Self Loop Spacing"),"Spacing to be preserved between a node and its self loops."),10),fo),ta),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,FTe),U1),"Port Spacing"),"Spacing between pairs of ports of the same node."),10),fo),ta),rs(Pn,he(le(xg,1),it,170,0,[ha]))))),sn(t,new Xt(nn(tn(rn(Qt(en(Jt(Zt(new Ut,RTe),U1),"Individual Spacing"),"Allows to specify individual spacing values for graph elements that shall be different from the value specified for the element's parent."),X1),g_t),rs(ha,he(le(xg,1),it,170,0,[zd,yv,S2]))))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,aCe),U1),"Additional Port Space"),"Additional space around the sets of ports on each node side. For each side of a node, this option can reserve additional space before and after the ports on each side. For example, a top spacing of 20 makes sure that the first port on the western and eastern side is 20 units away from the northern border."),NNe),X1),vAe),un(Pn)))),sn(t,new Xt(nn(tn(rn(Qt(en(Jt(Zt(new Ut,bfe),Jyt),"Layout Partition"),"Partition to which the node belongs. This requires Layout Partitioning to be active. Nodes with lower partition IDs will appear to the left of nodes with higher partition IDs (assuming a left-to-right layout direction)."),Tc),ro),rs(Pn,he(le(xg,1),it,170,0,[ha]))))),Qs(t,bfe,pfe,BSt),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,pfe),Jyt),"Layout Partitioning"),"Whether to activate partitioned layout. This will allow to group nodes through the Layout Partition option. a pair of nodes with different partition indices is then placed such that the node with lower index is placed to the left of the other node (with left-to-right layout direction). Depending on the layout algorithm, this may only be guaranteed to work if all nodes have a layout partition configured, or at least if edges that cross partitions are not part of a partition-crossing cycle."),wNe),ya),Ns),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,UTe),Zyt),"Node Label Padding"),"Define padding for node labels that are placed inside of a node."),dNe),X1),wAe),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,fT),Zyt),"Node Label Placement"),"Hints for where node labels are to be placed; if empty, the node label's position is not modified."),gNe),t9),Ko),rs(ha,he(le(xg,1),it,170,0,[S2]))))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,WTe),RG),"Port Alignment"),"Defines the default port distribution for a node. May be overridden for each side individually."),xNe),ps),OM),un(ha)))),sn(t,new Xt(nn(tn(rn(Qt(en(Jt(Zt(new Ut,YTe),RG),"Port Alignment (North)"),"Defines how ports on the northern side are placed, overriding the node's general port alignment."),ps),OM),un(ha)))),sn(t,new Xt(nn(tn(rn(Qt(en(Jt(Zt(new Ut,XTe),RG),"Port Alignment (South)"),"Defines how ports on the southern side are placed, overriding the node's general port alignment."),ps),OM),un(ha)))),sn(t,new Xt(nn(tn(rn(Qt(en(Jt(Zt(new Ut,QTe),RG),"Port Alignment (West)"),"Defines how ports on the western side are placed, overriding the node's general port alignment."),ps),OM),un(ha)))),sn(t,new Xt(nn(tn(rn(Qt(en(Jt(Zt(new Ut,JTe),RG),"Port Alignment (East)"),"Defines how ports on the eastern side are placed, overriding the node's general port alignment."),ps),OM),un(ha)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,x6),Rfe),"Node Size Constraints"),"What should be taken into account when calculating a node's size. Empty size constraints specify that a node's size is already fixed and should not be changed."),pNe),t9),BM),un(ha)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,Nx),Rfe),"Node Size Options"),"Options modifying the behavior of the size constraints set on a node. Each member of the set specifies something that should be taken into account when calculating node sizes. The empty set corresponds to no further modifications."),mNe),t9),ePe),un(ha)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,Px),Rfe),"Node Size Minimum"),"The minimal size to which a node can be reduced."),bNe),X1),Ea),un(ha)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,hT),Rfe),"Fixed Graph Size"),"By default, the fixed layout provider will enlarge a graph until it is large enough to contain its children. If this option is set, it won't do so."),!1),ya),Ns),un(Pn)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,eCe),ffe),"Edge Label Placement"),"Gives a hint on where to put edge labels."),iNe),ps),FNe),un(S2)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,cG),ffe),"Inline Edge Labels"),"If true, an edge label is placed directly on its edge. May only apply to center edge labels. This kind of label placement is only advisable if the label's rendering is such that it is not crossed by its edge and thus stays legible."),!1),ya),Ns),un(S2)))),sn(t,new Xt(nn(tn(rn(Qt(en(Jt(Zt(new Ut,iOn),"font"),"Font Name"),"Font name used for a label."),J6),zt),un(S2)))),sn(t,new Xt(nn(tn(rn(Qt(en(Jt(Zt(new Ut,Xyt),"font"),"Font Size"),"Font size used for a label."),Tc),ro),un(S2)))),sn(t,new Xt(nn(tn(rn(Qt(en(Jt(Zt(new Ut,iCe),jfe),"Port Anchor Offset"),"The offset to the port position where connections shall be attached."),X1),Ea),un(yv)))),sn(t,new Xt(nn(tn(rn(Qt(en(Jt(Zt(new Ut,tCe),jfe),"Port Index"),"The index of a port in the fixed order around a node. The order is assumed as clockwise, starting with the leftmost port on the top side. This option must be set if 'Port Constraints' is set to FIXED_ORDER and no specific positions are given for the ports. Additionally, the option 'Port Side' must be defined in this case."),Tc),ro),un(yv)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,zTe),jfe),"Port Side"),"The side of a node on which a port is situated. This option must be set if 'Port Constraints' is set to FIXED_SIDE or FIXED_ORDER and no specific positions are given for the ports."),SNe),ps),Oo),un(yv)))),sn(t,new Xt(nn(tn(rn(Qt(en(Jt(Zt(new Ut,jTe),jfe),"Port Border Offset"),"The offset of ports on the node border. With a positive offset the port is moved outside of the node, while with a negative offset the port is moved towards the inside. An offset of 0 means that the port is placed directly on the node border, i.e. if the port side is north, the port's south border touches the nodes's north border; if the port side is east, the port's west border touches the nodes's east border; if the port side is south, the port's north border touches the node's south border; if the port side is west, the port's east border touches the node's west border."),fo),ta),un(yv)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,dT),iSe),"Port Label Placement"),"Decides on a placement method for port labels; if empty, the node label's position is not modified."),TNe),t9),cY),un(ha)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,GTe),iSe),"Port Labels Next to Port"),"Use 'portLabels.placement': NEXT_TO_PORT_OF_POSSIBLE."),!1),ya),Ns),un(ha)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,KTe),iSe),"Treat Port Labels as Group"),"If this option is true (default), the labels of a port will be treated as a group when it comes to centering them next to their port. If this option is false, only the first label will be centered next to the port, with the others being placed below. This only applies to labels of eastern and western ports and will have no effect if labels are not placed next to their port."),!0),ya),Ns),un(ha)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,BP),KP),"Topdown Scale Factor"),"The scaling factor to be applied to the nodes laid out within the node in recursive topdown layout. The difference to 'Scale Factor' is that the node itself is not scaled. This value has to be set on hierarchical nodes."),1),fo),ta),un(Pn)))),Qs(t,BP,Qw,VSt),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,nSe),KP),"Topdown Size Approximator"),"The size approximator to be used to set sizes of hierarchical nodes during topdown layout. The default value is null, which results in nodes keeping whatever size is defined for them e.g. through parent parallel node or by manually setting the size."),null),ps),gY),un(ha)))),Qs(t,nSe,Qw,USt),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,FP),KP),"Topdown Hierarchical Node Width"),"The fixed size of a hierarchical node when using topdown layout. If this value is set on a parallel node it applies to its children, when set on a hierarchical node it applies to the node itself."),150),fo),ta),rs(Pn,he(le(xg,1),it,170,0,[ha]))))),Qs(t,FP,Qw,null),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,RP),KP),"Topdown Hierarchical Node Aspect Ratio"),"The fixed aspect ratio of a hierarchical node when using topdown layout. Default is 1/sqrt(2). If this value is set on a parallel node it applies to its children, when set on a hierarchical node it applies to the node itself."),1.414),fo),ta),rs(Pn,he(le(xg,1),it,170,0,[ha]))))),Qs(t,RP,Qw,null),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,Qw),KP),"Topdown Node Type"),"The different node types used for topdown layout. If the node type is set to {@link TopdownNodeTypes.PARALLEL_NODE} the algorithm must be set to a {@link TopdownLayoutProvider} such as {@link TopdownPacking}. The {@link nodeSize.fixedGraphSize} option is technically only required for hierarchical nodes."),null),ps),nPe),un(ha)))),Qs(t,Qw,hT,null),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,rSe),KP),"Topdown Scale Cap"),"Determines the upper limit for the topdown scale factor. The default value is 1.0 which ensures that nested children never end up appearing larger than their parents in terms of unit sizes such as the font size. If the limit is larger, nodes will fully utilize the available space, but it is counteriniuitive for inner nodes to have a larger scale than outer nodes."),1),fo),ta),un(Pn)))),Qs(t,rSe,Qw,HSt),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,HTe),e4t),"Activate Inside Self Loops"),"Whether this node allows to route self loops inside of it instead of around it. If set to true, this will make the node a compound node if it isn't already, and will require the layout algorithm to support compound nodes with hierarchical ports."),!1),ya),Ns),un(ha)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,VTe),e4t),"Inside Self Loop"),"Whether a self loop should be routed inside a node instead of around that node."),!1),ya),Ns),un(zd)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,Ahe),"edge"),"Edge Thickness"),"The thickness of an edge. This is a hint on the line width used to draw an edge, possibly requiring more space to be reserved for it."),1),fo),ta),un(zd)))),sn(t,new Xt(nn(tn(rn(yn(Qt(en(Jt(Zt(new Ut,Qyt),"edge"),"Edge Type"),"The type of an edge. This is usually used for UML class diagrams, where associations must be handled differently from generalizations."),cNe),ps),HNe),un(zd)))),m_(t,new nx(f_(Ck(Tk(new ny,sr),"Layered"),'The layer-based method was introduced by Sugiyama, Tagawa and Toda in 1981. It emphasizes the direction of edges by pointing as many edges as possible into the same direction. The nodes are arranged in layers, which are sometimes called "hierarchies", and then reordered such that the number of edge crossings is minimized. Afterwards, concrete coordinates are computed for the nodes and edge bend points.'))),m_(t,new nx(f_(Ck(Tk(new ny,"org.eclipse.elk.orthogonal"),"Orthogonal"),`Orthogonal methods that follow the "topology-shape-metrics" approach by Batini, Nardelli and Tamassia '86. The first phase determines the topology of the drawing by applying a planarization technique, which results in a planar representation of the graph. The orthogonal shape is computed in the second phase, which aims at minimizing the number of edge bends, and is called orthogonalization. The third phase leads to concrete coordinates for nodes and edge bend points by applying a compaction method, thus defining the metrics.`))),m_(t,new nx(f_(Ck(Tk(new ny,Yu),"Force"),"Layout algorithms that follow physical analogies by simulating a system of attractive and repulsive forces. The first successful method of this kind was proposed by Eades in 1984."))),m_(t,new nx(f_(Ck(Tk(new ny,"org.eclipse.elk.circle"),"Circle"),"Circular layout algorithms emphasize cycles or biconnected components of a graph by arranging them in circles. This is useful if a drawing is desired where such components are clearly grouped, or where cycles are shown as prominent OPTIONS of the graph."))),m_(t,new nx(f_(Ck(Tk(new ny,byt),"Tree"),"Specialized layout methods for trees, i.e. acyclic graphs. The regular structure of graphs that have no undirected cycles can be emphasized using an algorithm of this type."))),m_(t,new nx(f_(Ck(Tk(new ny,"org.eclipse.elk.planar"),"Planar"),"Algorithms that require a planar or upward planar graph. 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wy(this,l1,this)),$r(this.rb),!this.rb&&(this.rb=new wy(this,l1,this)),As(this.rb,l(n,16));return;case 6:!this.vb&&(this.vb=new V8(u1,this,6,7)),$r(this.vb),!this.vb&&(this.vb=new V8(u1,this,6,7)),As(this.vb,l(n,16));return}uf(this,t-yr((Tn(),O2)),Mn((r=l(Kn(this,16),29),r||O2),t),n)},h.ei=function(t){var n,r;if(t&&this.rb)for(r=new or(this.rb);r.e!=r.i.gc();)n=gr(r),De(n,364)&&(l(n,364).w=null);px(this,64,t)},h.ii=function(){return Tn(),O2},h.ki=function(t){var n;switch(t){case 0:!this.Ab&&(this.Ab=new nt(mi,this,0,3)),$r(this.Ab);return;case 1:Fu(this,null);return;case 2:SV(this,null);return;case 3:CV(this,null);return;case 4:Nue(this,null);return;case 5:!this.rb&&(this.rb=new wy(this,l1,this)),$r(this.rb);return;case 6:!this.vb&&(this.vb=new V8(u1,this,6,7)),$r(this.vb);return}cf(this,t-yr((Tn(),O2)),Mn((n=l(Kn(this,16),29),n||O2),t))},h.pi=function(){yue(this)},h.vi=function(){return!this.rb&&(this.rb=new wy(this,l1,this)),this.rb},h.wi=function(){return 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T9e(this)},h.s=0,h.t=1,I(Gn,"ETypedElementImpl",292),D(462,292,{110:1,94:1,93:1,155:1,197:1,58:1,179:1,69:1,114:1,481:1,54:1,99:1,158:1,462:1,292:1,119:1,120:1,692:1}),h.Ah=function(t){return Qdt(this,t)},h.Lh=function(t,n,r){var a,o;switch(t){case 0:return!this.Ab&&(this.Ab=new nt(mi,this,0,3)),this.Ab;case 1:return this.zb;case 2:return Hn(),!!(this.Bb&256);case 3:return Hn(),!!(this.Bb&512);case 4:return pt(this.s);case 5:return pt(this.t);case 6:return Hn(),!!this.Jk();case 7:return Hn(),o=this.s,o>=1;case 8:return n?Of(this):this.r;case 9:return this.q;case 10:return Hn(),!!(this.Bb&m0);case 11:return Hn(),!!(this.Bb&r4);case 12:return Hn(),!!(this.Bb&Xy);case 13:return this.j;case 14:return UE(this);case 15:return Hn(),!!(this.Bb&Sl);case 16:return Hn(),!!(this.Bb&_d);case 17:return ky(this)}return sf(this,t-yr(this.ii()),Mn((a=l(Kn(this,16),29),a||this.ii()),t),n,r)},h.Sh=function(t,n,r){var a,o,f;switch(n){case 0:return!this.Ab&&(this.Ab=new nt(mi,this,0,3)),Ru(this.Ab,t,r);case 17:return this.Cb&&(r=(o=this.Db>>16,o>=0?Qdt(this,r):this.Cb.Th(this,-1-o,null,r))),Nh(this,t,17,r)}return f=l(Mn((a=l(Kn(this,16),29),a||this.ii()),n),69),f.wk().zk(this,Ku(this),n-yr(this.ii()),t,r)},h.Uh=function(t,n,r){var a,o;switch(n){case 0:return!this.Ab&&(this.Ab=new nt(mi,this,0,3)),To(this.Ab,t,r);case 9:return qae(this,r);case 17:return Nh(this,null,17,r)}return o=l(Mn((a=l(Kn(this,16),29),a||this.ii()),n),69),o.wk().Ak(this,Ku(this),n-yr(this.ii()),t,r)},h.Wh=function(t){var n,r;switch(t){case 0:return!!this.Ab&&this.Ab.i!=0;case 1:return this.zb!=null;case 2:return(this.Bb&256)==0;case 3:return(this.Bb&512)==0;case 4:return this.s!=0;case 5:return this.t!=1;case 6:return this.Jk();case 7:return r=this.s,r>=1;case 8:return!!this.r&&!this.q.e&&yw(this.q).i==0;case 9:return!!this.q&&!(this.r&&!this.q.e&&yw(this.q).i==0);case 10:return(this.Bb&m0)==0;case 11:return(this.Bb&r4)!=0;case 12:return(this.Bb&Xy)!=0;case 13:return this.j!=null;case 14:return UE(this)!=null;case 15:return(this.Bb&Sl)!=0;case 16:return(this.Bb&_d)!=0;case 17:return!!ky(this)}return nf(this,t-yr(this.ii()),Mn((n=l(Kn(this,16),29),n||this.ii()),t))},h.bi=function(t,n){var r,a;switch(t){case 0:!this.Ab&&(this.Ab=new nt(mi,this,0,3)),$r(this.Ab),!this.Ab&&(this.Ab=new nt(mi,this,0,3)),As(this.Ab,l(n,16));return;case 1:poe(this,ei(n));return;case 2:c2(this,Rt(Bt(n)));return;case 3:u2(this,Rt(Bt(n)));return;case 4:i2(this,l(n,17).a);return;case 5:this.Zk(l(n,17).a);return;case 8:Gm(this,l(n,142));return;case 9:a=$1(this,l(n,89),null),a&&a.oj();return;case 10:AE(this,Rt(Bt(n)));return;case 11:DE(this,Rt(Bt(n)));return;case 12:LE(this,Rt(Bt(n)));return;case 13:Z3e(this,ei(n));return;case 15:ME(this,Rt(Bt(n)));return;case 16:IE(this,Rt(Bt(n)));return}uf(this,t-yr(this.ii()),Mn((r=l(Kn(this,16),29),r||this.ii()),t),n)},h.ii=function(){return Tn(),G_t},h.ki=function(t){var n,r;switch(t){case 0:!this.Ab&&(this.Ab=new nt(mi,this,0,3)),$r(this.Ab);return;case 1:De(this.Cb,90)&&zy(Yl(l(this.Cb,90)),4),Fu(this,null);return;case 2:c2(this,!0);return;case 3:u2(this,!0);return;case 4:i2(this,0);return;case 5:this.Zk(1);return;case 8:Gm(this,null);return;case 9:r=$1(this,null,null),r&&r.oj();return;case 10:AE(this,!0);return;case 11:DE(this,!1);return;case 12:LE(this,!1);return;case 13:this.i=null,xV(this,null);return;case 15:ME(this,!1);return;case 16:IE(this,!1);return}cf(this,t-yr(this.ii()),Mn((n=l(Kn(this,16),29),n||this.ii()),t))},h.pi=function(){Wk(ic((El(),io),this)),Of(this),this.Bb|=1},h.pk=function(){return this.f},h.ik=function(){return UE(this)},h.qk=function(){return ky(this)},h.uk=function(){return null},h.$k=function(){return this.k},h.Lj=function(){return this.n},h.vk=function(){return pU(this)},h.wk=function(){var t,n,r,a,o,f,g,w,E;return this.p||(r=ky(this),(r.i==null&&Sd(r),r.i).length,a=this.uk(),a&&yr(ky(a)),o=Of(this),g=o.kk(),t=g?g.i&1?g==ih?Ns:g==Vr?ro:g==B4?_T:g==Na?ta:g==nm?r3:g==h7?i3:g==Al?jx:PL:g:null,n=UE(this),w=o.ik(),U4n(this),this.Bb&_d&&((f=yxe((El(),io),r))&&f!=this||(f=rx(ic(io,this))))?this.p=new Ntt(this,f):this.Jk()?this.al()?a?this.Bb&Sl?t?this.bl()?this.p=new Om(47,t,this,a):this.p=new Om(5,t,this,a):this.bl()?this.p=new Rm(46,this,a):this.p=new Rm(4,this,a):t?this.bl()?this.p=new Om(49,t,this,a):this.p=new Om(7,t,this,a):this.bl()?this.p=new Rm(48,this,a):this.p=new Rm(6,this,a):this.Bb&Sl?t?t==uv?this.p=new Xp(50,A_t,this):this.bl()?this.p=new Xp(43,t,this):this.p=new Xp(1,t,this):this.bl()?this.p=new Jp(42,this):this.p=new Jp(0,this):t?t==uv?this.p=new Xp(41,A_t,this):this.bl()?this.p=new Xp(45,t,this):this.p=new Xp(3,t,this):this.bl()?this.p=new Jp(44,this):this.p=new Jp(2,this):De(o,156)?t==CY?this.p=new Jp(40,this):this.Bb&512?this.Bb&Sl?t?this.p=new Xp(9,t,this):this.p=new Jp(8,this):t?this.p=new Xp(11,t,this):this.p=new Jp(10,this):this.Bb&Sl?t?this.p=new Xp(13,t,this):this.p=new Jp(12,this):t?this.p=new Xp(15,t,this):this.p=new Jp(14,this):a?(E=a.t,E>1||E==-1?this.bl()?this.Bb&Sl?t?this.p=new Om(25,t,this,a):this.p=new Rm(24,this,a):t?this.p=new Om(27,t,this,a):this.p=new Rm(26,this,a):this.Bb&Sl?t?this.p=new Om(29,t,this,a):this.p=new Rm(28,this,a):t?this.p=new Om(31,t,this,a):this.p=new Rm(30,this,a):this.bl()?this.Bb&Sl?t?this.p=new Om(33,t,this,a):this.p=new Rm(32,this,a):t?this.p=new Om(35,t,this,a):this.p=new Rm(34,this,a):this.Bb&Sl?t?this.p=new Om(37,t,this,a):this.p=new Rm(36,this,a):t?this.p=new Om(39,t,this,a):this.p=new Rm(38,this,a)):this.bl()?this.Bb&Sl?t?this.p=new Xp(17,t,this):this.p=new Jp(16,this):t?this.p=new Xp(19,t,this):this.p=new Jp(18,this):this.Bb&Sl?t?this.p=new Xp(21,t,this):this.p=new Jp(20,this):t?this.p=new Xp(23,t,this):this.p=new Jp(22,this):this._k()?this.bl()?this.p=new kit(l(o,29),this,a):this.p=new $5e(l(o,29),this,a):De(o,156)?t==CY?this.p=new Jp(40,this):this.Bb&Sl?t?this.p=new xst(n,w,this,(Wce(),g==Vr?PPe:g==ih?MPe:g==nm?BPe:g==B4?NPe:g==Na?OPe:g==h7?FPe:g==Al?DPe:g==kf?IPe:ipe)):this.p=new Nat(l(o,156),n,w,this):t?this.p=new yst(n,w,this,(Wce(),g==Vr?PPe:g==ih?MPe:g==nm?BPe:g==B4?NPe:g==Na?OPe:g==h7?FPe:g==Al?DPe:g==kf?IPe:ipe)):this.p=new Oat(l(o,156),n,w,this):this.al()?a?this.Bb&Sl?this.bl()?this.p=new Tit(l(o,29),this,a):this.p=new C4e(l(o,29),this,a):this.bl()?this.p=new Eit(l(o,29),this,a):this.p=new yae(l(o,29),this,a):this.Bb&Sl?this.bl()?this.p=new yrt(l(o,29),this):this.p=new jye(l(o,29),this):this.bl()?this.p=new wrt(l(o,29),this):this.p=new oae(l(o,29),this):this.bl()?a?this.Bb&Sl?this.p=new Cit(l(o,29),this,a):this.p=new E4e(l(o,29),this,a):this.Bb&Sl?this.p=new xrt(l(o,29),this):this.p=new $ye(l(o,29),this):a?this.Bb&Sl?this.p=new Sit(l(o,29),this,a):this.p=new T4e(l(o,29),this,a):this.Bb&Sl?this.p=new krt(l(o,29),this):this.p=new cH(l(o,29),this)),this.p},h.rk=function(){return(this.Bb&m0)!=0},h._k=function(){return!1},h.al=function(){return!1},h.sk=function(){return(this.Bb&_d)!=0},h.xk=function(){return Voe(this)},h.bl=function(){return!1},h.tk=function(){return(this.Bb&Sl)!=0},h.cl=function(t){this.k=t},h.ui=function(t){poe(this,t)},h.Ib=function(){return BU(this)},h.e=!1,h.n=0,I(Gn,"EStructuralFeatureImpl",462),D(331,462,{110:1,94:1,93:1,35:1,155:1,197:1,58:1,179:1,69:1,114:1,481:1,54:1,99:1,331:1,158:1,462:1,292:1,119:1,120:1,692:1},zie),h.Lh=function(t,n,r){var a,o;switch(t){case 0:return!this.Ab&&(this.Ab=new nt(mi,this,0,3)),this.Ab;case 1:return this.zb;case 2:return Hn(),!!(this.Bb&256);case 3:return Hn(),!!(this.Bb&512);case 4:return pt(this.s);case 5:return pt(this.t);case 6:return Hn(),!!v9e(this);case 7:return Hn(),o=this.s,o>=1;case 8:return n?Of(this):this.r;case 9:return this.q;case 10:return Hn(),!!(this.Bb&m0);case 11:return Hn(),!!(this.Bb&r4);case 12:return Hn(),!!(this.Bb&Xy);case 13:return this.j;case 14:return UE(this);case 15:return Hn(),!!(this.Bb&Sl);case 16:return Hn(),!!(this.Bb&_d);case 17:return ky(this);case 18:return Hn(),!!(this.Bb&eu);case 19:return n?gce(this):Fut(this)}return sf(this,t-yr((Tn(),O4)),Mn((a=l(Kn(this,16),29),a||O4),t),n,r)},h.Wh=function(t){var n,r;switch(t){case 0:return!!this.Ab&&this.Ab.i!=0;case 1:return this.zb!=null;case 2:return(this.Bb&256)==0;case 3:return(this.Bb&512)==0;case 4:return this.s!=0;case 5:return this.t!=1;case 6:return v9e(this);case 7:return r=this.s,r>=1;case 8:return!!this.r&&!this.q.e&&yw(this.q).i==0;case 9:return!!this.q&&!(this.r&&!this.q.e&&yw(this.q).i==0);case 10:return(this.Bb&m0)==0;case 11:return(this.Bb&r4)!=0;case 12:return(this.Bb&Xy)!=0;case 13:return this.j!=null;case 14:return UE(this)!=null;case 15:return(this.Bb&Sl)!=0;case 16:return(this.Bb&_d)!=0;case 17:return!!ky(this);case 18:return(this.Bb&eu)!=0;case 19:return!!Fut(this)}return nf(this,t-yr((Tn(),O4)),Mn((n=l(Kn(this,16),29),n||O4),t))},h.bi=function(t,n){var r,a;switch(t){case 0:!this.Ab&&(this.Ab=new nt(mi,this,0,3)),$r(this.Ab),!this.Ab&&(this.Ab=new nt(mi,this,0,3)),As(this.Ab,l(n,16));return;case 1:poe(this,ei(n));return;case 2:c2(this,Rt(Bt(n)));return;case 3:u2(this,Rt(Bt(n)));return;case 4:i2(this,l(n,17).a);return;case 5:JJe(this,l(n,17).a);return;case 8:Gm(this,l(n,142));return;case 9:a=$1(this,l(n,89),null),a&&a.oj();return;case 10:AE(this,Rt(Bt(n)));return;case 11:DE(this,Rt(Bt(n)));return;case 12:LE(this,Rt(Bt(n)));return;case 13:Z3e(this,ei(n));return;case 15:ME(this,Rt(Bt(n)));return;case 16:IE(this,Rt(Bt(n)));return;case 18:$ce(this,Rt(Bt(n)));return}uf(this,t-yr((Tn(),O4)),Mn((r=l(Kn(this,16),29),r||O4),t),n)},h.ii=function(){return Tn(),O4},h.ki=function(t){var n,r;switch(t){case 0:!this.Ab&&(this.Ab=new nt(mi,this,0,3)),$r(this.Ab);return;case 1:De(this.Cb,90)&&zy(Yl(l(this.Cb,90)),4),Fu(this,null);return;case 2:c2(this,!0);return;case 3:u2(this,!0);return;case 4:i2(this,0);return;case 5:this.b=0,My(this,1);return;case 8:Gm(this,null);return;case 9:r=$1(this,null,null),r&&r.oj();return;case 10:AE(this,!0);return;case 11:DE(this,!1);return;case 12:LE(this,!1);return;case 13:this.i=null,xV(this,null);return;case 15:ME(this,!1);return;case 16:IE(this,!1);return;case 18:$ce(this,!1);return}cf(this,t-yr((Tn(),O4)),Mn((n=l(Kn(this,16),29),n||O4),t))},h.pi=function(){gce(this),Wk(ic((El(),io),this)),Of(this),this.Bb|=1},h.Jk=function(){return v9e(this)},h.Yk=function(t,n){return this.b=0,this.a=null,o8e(this,t,n)},h.Zk=function(t){JJe(this,t)},h.Ib=function(){var t;return this.Db&64?BU(this):(t=new Af(BU(this)),t.a+=" (iD: ",Gp(t,(this.Bb&eu)!=0),t.a+=")",t.a)},h.b=0,I(Gn,"EAttributeImpl",331),D(364,448,{110:1,94:1,93:1,142:1,155:1,197:1,58:1,114:1,54:1,99:1,364:1,158:1,119:1,120:1,691:1}),h.dl=function(t){return t.Dh()==this},h.Ah=function(t){return wue(this,t)},h.Bh=function(t,n){this.w=null,this.Db=n<<16|this.Db&255,this.Cb=t},h.Lh=function(t,n,r){var a;switch(t){case 0:return!this.Ab&&(this.Ab=new nt(mi,this,0,3)),this.Ab;case 1:return this.zb;case 2:return this.D!=null?this.D:this.B;case 3:return zw(this);case 4:return this.ik();case 5:return this.F;case 6:return n?Ah(this):Qk(this);case 7:return!this.A&&(this.A=new ml(Zu,this,7)),this.A}return sf(this,t-yr(this.ii()),Mn((a=l(Kn(this,16),29),a||this.ii()),t),n,r)},h.Sh=function(t,n,r){var a,o,f;switch(n){case 0:return!this.Ab&&(this.Ab=new nt(mi,this,0,3)),Ru(this.Ab,t,r);case 6:return this.Cb&&(r=(o=this.Db>>16,o>=0?wue(this,r):this.Cb.Th(this,-1-o,null,r))),Nh(this,t,6,r)}return f=l(Mn((a=l(Kn(this,16),29),a||this.ii()),n),69),f.wk().zk(this,Ku(this),n-yr(this.ii()),t,r)},h.Uh=function(t,n,r){var a,o;switch(n){case 0:return!this.Ab&&(this.Ab=new nt(mi,this,0,3)),To(this.Ab,t,r);case 6:return Nh(this,null,6,r);case 7:return!this.A&&(this.A=new ml(Zu,this,7)),To(this.A,t,r)}return o=l(Mn((a=l(Kn(this,16),29),a||this.ii()),n),69),o.wk().Ak(this,Ku(this),n-yr(this.ii()),t,r)},h.Wh=function(t){var n;switch(t){case 0:return!!this.Ab&&this.Ab.i!=0;case 1:return this.zb!=null;case 2:return this.D!=null&&this.D==this.F;case 3:return!!zw(this);case 4:return this.ik()!=null;case 5:return this.F!=null&&this.F!=this.D&&this.F!=this.B;case 6:return!!Qk(this);case 7:return!!this.A&&this.A.i!=0}return nf(this,t-yr(this.ii()),Mn((n=l(Kn(this,16),29),n||this.ii()),t))},h.bi=function(t,n){var r;switch(t){case 0:!this.Ab&&(this.Ab=new nt(mi,this,0,3)),$r(this.Ab),!this.Ab&&(this.Ab=new nt(mi,this,0,3)),As(this.Ab,l(n,16));return;case 1:FH(this,ei(n));return;case 2:Kse(this,ei(n));return;case 5:JE(this,ei(n));return;case 7:!this.A&&(this.A=new ml(Zu,this,7)),$r(this.A),!this.A&&(this.A=new ml(Zu,this,7)),As(this.A,l(n,16));return}uf(this,t-yr(this.ii()),Mn((r=l(Kn(this,16),29),r||this.ii()),t),n)},h.ii=function(){return Tn(),$_t},h.ki=function(t){var n;switch(t){case 0:!this.Ab&&(this.Ab=new nt(mi,this,0,3)),$r(this.Ab);return;case 1:De(this.Cb,184)&&(l(this.Cb,184).tb=null),Fu(this,null);return;case 2:CE(this,null),lE(this,this.D);return;case 5:JE(this,null);return;case 7:!this.A&&(this.A=new ml(Zu,this,7)),$r(this.A);return}cf(this,t-yr(this.ii()),Mn((n=l(Kn(this,16),29),n||this.ii()),t))},h.hk=function(){var t;return this.G==-1&&(this.G=(t=Ah(this),t?f2(t.vi(),this):-1)),this.G},h.ik=function(){return null},h.jk=function(){return Ah(this)},h.el=function(){return this.v},h.kk=function(){return zw(this)},h.lk=function(){return this.D!=null?this.D:this.B},h.mk=function(){return this.F},h.fk=function(t){return ule(this,t)},h.fl=function(t){this.v=t},h.gl=function(t){xft(this,t)},h.hl=function(t){this.C=t},h.ui=function(t){FH(this,t)},h.Ib=function(){return 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22:return du(this);case 23:return Zue(this)}return sf(this,t-yr((Tn(),Jb)),Mn((a=l(Kn(this,16),29),a||Jb),t),n,r)},h.Sh=function(t,n,r){var a,o,f;switch(n){case 0:return!this.Ab&&(this.Ab=new nt(mi,this,0,3)),Ru(this.Ab,t,r);case 6:return this.Cb&&(r=(o=this.Db>>16,o>=0?wue(this,r):this.Cb.Th(this,-1-o,null,r))),Nh(this,t,6,r);case 11:return!this.q&&(this.q=new nt(Uf,this,11,10)),Ru(this.q,t,r);case 21:return!this.s&&(this.s=new nt(dl,this,21,17)),Ru(this.s,t,r)}return f=l(Mn((a=l(Kn(this,16),29),a||(Tn(),Jb)),n),69),f.wk().zk(this,Ku(this),n-yr((Tn(),Jb)),t,r)},h.Uh=function(t,n,r){var a,o;switch(n){case 0:return!this.Ab&&(this.Ab=new nt(mi,this,0,3)),To(this.Ab,t,r);case 6:return Nh(this,null,6,r);case 7:return!this.A&&(this.A=new ml(Zu,this,7)),To(this.A,t,r);case 11:return!this.q&&(this.q=new nt(Uf,this,11,10)),To(this.q,t,r);case 21:return!this.s&&(this.s=new nt(dl,this,21,17)),To(this.s,t,r);case 22:return To(du(this),t,r)}return o=l(Mn((a=l(Kn(this,16),29),a||(Tn(),Jb)),n),69),o.wk().Ak(this,Ku(this),n-yr((Tn(),Jb)),t,r)},h.Wh=function(t){var n;switch(t){case 0:return!!this.Ab&&this.Ab.i!=0;case 1:return this.zb!=null;case 2:return this.D!=null&&this.D==this.F;case 3:return!!zw(this);case 4:return!1;case 5:return this.F!=null&&this.F!=this.D&&this.F!=this.B;case 6:return!!Qk(this);case 7:return!!this.A&&this.A.i!=0;case 8:return(this.Bb&256)!=0;case 9:return(this.Bb&512)!=0;case 10:return!!this.u&&du(this.u.a).i!=0&&!(this.n&&cue(this.n));case 11:return!!this.q&&this.q.i!=0;case 12:return d6(this).i!=0;case 13:return JA(this).i!=0;case 14:return JA(this),this.r.i!=0;case 15:return d6(this),this.k.i!=0;case 16:return o9e(this).i!=0;case 17:return dle(this).i!=0;case 18:return Sd(this).i!=0;case 19:return _U(this).i!=0;case 20:return d6(this),!!this.o;case 21:return!!this.s&&this.s.i!=0;case 22:return!!this.n&&cue(this.n);case 23:return Zue(this).i!=0}return nf(this,t-yr((Tn(),Jb)),Mn((n=l(Kn(this,16),29),n||Jb),t))},h.Zh=function(t){var n;return n=this.i==null||this.q&&this.q.i!=0?null:oP(this,t),n||Hke(this,t)},h.bi=function(t,n){var r;switch(t){case 0:!this.Ab&&(this.Ab=new nt(mi,this,0,3)),$r(this.Ab),!this.Ab&&(this.Ab=new nt(mi,this,0,3)),As(this.Ab,l(n,16));return;case 1:FH(this,ei(n));return;case 2:Kse(this,ei(n));return;case 5:JE(this,ei(n));return;case 7:!this.A&&(this.A=new ml(Zu,this,7)),$r(this.A),!this.A&&(this.A=new ml(Zu,this,7)),As(this.A,l(n,16));return;case 8:c8e(this,Rt(Bt(n)));return;case 9:u8e(this,Rt(Bt(n)));return;case 10:tL(dc(this)),As(dc(this),l(n,16));return;case 11:!this.q&&(this.q=new nt(Uf,this,11,10)),$r(this.q),!this.q&&(this.q=new nt(Uf,this,11,10)),As(this.q,l(n,16));return;case 21:!this.s&&(this.s=new nt(dl,this,21,17)),$r(this.s),!this.s&&(this.s=new nt(dl,this,21,17)),As(this.s,l(n,16));return;case 22:$r(du(this)),As(du(this),l(n,16));return}uf(this,t-yr((Tn(),Jb)),Mn((r=l(Kn(this,16),29),r||Jb),t),n)},h.ii=function(){return Tn(),Jb},h.ki=function(t){var n;switch(t){case 0:!this.Ab&&(this.Ab=new nt(mi,this,0,3)),$r(this.Ab);return;case 1:De(this.Cb,184)&&(l(this.Cb,184).tb=null),Fu(this,null);return;case 2:CE(this,null),lE(this,this.D);return;case 5:JE(this,null);return;case 7:!this.A&&(this.A=new ml(Zu,this,7)),$r(this.A);return;case 8:c8e(this,!1);return;case 9:u8e(this,!1);return;case 10:this.u&&tL(this.u);return;case 11:!this.q&&(this.q=new nt(Uf,this,11,10)),$r(this.q);return;case 21:!this.s&&(this.s=new nt(dl,this,21,17)),$r(this.s);return;case 22:this.n&&$r(this.n);return}cf(this,t-yr((Tn(),Jb)),Mn((n=l(Kn(this,16),29),n||Jb),t))},h.pi=function(){var t,n;if(d6(this),JA(this),o9e(this),dle(this),Sd(this),_U(this),Zue(this),uA(adn(Yl(this))),this.s)for(t=0,n=this.s.i;t=0;--n)Oe(this,n);return O8e(this,t)},h.Gk=function(){$r(this)},h.Zi=function(t,n){return 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3:return rA(this,t,n,r,a,this.i>1);case 5:return rA(this,t,n,r,a,this.i-l(r,15).gc()>0);default:return new Zg(this.e,t,this.c,n,r,a,!0)}},h.Tj=function(){return!0},h.Qj=function(){return cue(this)},h.Gk=function(){$r(this)},I(Gn,"EClassImpl/1",1161),D(1175,1174,SSe),h.dj=function(t){var n,r,a,o,f,g,w;if(r=t.gj(),r!=8){if(a=c6n(t),a==0)switch(r){case 1:case 9:{w=t.kj(),w!=null&&(n=Yl(l(w,482)),!n.c&&(n.c=new Xd),sV(n.c,t.jj())),g=t.ij(),g!=null&&(o=l(g,482),o.Bb&1||(n=Yl(o),!n.c&&(n.c=new Xd),qr(n.c,l(t.jj(),29))));break}case 3:{g=t.ij(),g!=null&&(o=l(g,482),o.Bb&1||(n=Yl(o),!n.c&&(n.c=new Xd),qr(n.c,l(t.jj(),29))));break}case 5:{if(g=t.ij(),g!=null)for(f=l(g,16).Kc();f.Ob();)o=l(f.Pb(),482),o.Bb&1||(n=Yl(o),!n.c&&(n.c=new Xd),qr(n.c,l(t.jj(),29)));break}case 4:{w=t.kj(),w!=null&&(o=l(w,482),o.Bb&1||(n=Yl(o),!n.c&&(n.c=new Xd),sV(n.c,t.jj())));break}case 6:{if(w=t.kj(),w!=null)for(f=l(w,16).Kc();f.Ob();)o=l(f.Pb(),482),o.Bb&1||(n=Yl(o),!n.c&&(n.c=new 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n,r,a;if(De(t,179)&&(n=l(t,179),r=n.Lj(),r!=-1)){for(a=this.i;r4)if(this.fk(t)){if(this.al()){if(a=l(t,54),r=a.Eh(),w=r==this.b&&(this.ml()?a.yh(a.Fh(),l(Mn(sl(this.b),this.Lj()).Hk(),29).kk())==Ro(l(Mn(sl(this.b),this.Lj()),19)).n:-1-a.Fh()==this.Lj()),this.nl()&&!w&&!r&&a.Jh()){for(o=0;o1||a==-1)):!1},h.ml=function(){var t,n,r;return n=Mn(sl(this.b),this.Lj()),De(n,102)?(t=l(n,19),r=Ro(t),!!r):!1},h.nl=function(){var t,n;return n=Mn(sl(this.b),this.Lj()),De(n,102)?(t=l(n,19),(t.Bb&Io)!=0):!1},h.dd=function(t){var n,r,a,o;if(a=this.zj(t),a>=0)return a;if(this.ol()){for(r=0,o=this.Ej();r=0;--t)mP(this,t,this.xj(t));return this.Fj()},h.Qc=function(t){var n;if(this.nl())for(n=this.Ej()-1;n>=0;--n)mP(this,n,this.xj(n));return this.Gj(t)},h.Gk=function(){tL(this)},h.Zi=function(t,n){return ylt(this,t,n)},I(us,"DelegatingEcoreEList",756),D(1171,756,MSe,Nrt),h.qj=function(t,n){ifn(this,t,l(n,29))},h.rj=function(t){Gln(this,l(t,29))},h.xj=function(t){var n,r;return 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null},h.Ej=function(){return du(this.a).i},h.Fj=function(){var t,n,r,a,o,f;for(f=du(this.a).i,o=We(wa,Rn,1,f,5,1),r=0,n=new or(du(this.a));n.e!=n.i.gc();)t=l(gr(n),89),o[r++]=(a=t.c,De(a,90)?l(a,29):(Tn(),Kf));return o},h.Gj=function(t){var n,r,a,o,f,g,w;for(w=du(this.a).i,t.lengthw&&Ts(t,w,null),a=0,r=new or(du(this.a));r.e!=r.i.gc();)n=l(gr(r),89),f=(g=n.c,De(g,90)?l(g,29):(Tn(),Kf)),Ts(t,a++,f);return t},h.Hj=function(){var t,n,r,a,o;for(o=new Up,o.a+="[",t=du(this.a),n=0,a=du(this.a).i;n>16,o>=0?wue(this,r):this.Cb.Th(this,-1-o,null,r))),Nh(this,t,6,r);case 9:return!this.a&&(this.a=new nt(wp,this,9,5)),Ru(this.a,t,r)}return f=l(Mn((a=l(Kn(this,16),29),a||(Tn(),Zb)),n),69),f.wk().zk(this,Ku(this),n-yr((Tn(),Zb)),t,r)},h.Uh=function(t,n,r){var a,o;switch(n){case 0:return!this.Ab&&(this.Ab=new nt(mi,this,0,3)),To(this.Ab,t,r);case 6:return Nh(this,null,6,r);case 7:return!this.A&&(this.A=new ml(Zu,this,7)),To(this.A,t,r);case 9:return!this.a&&(this.a=new nt(wp,this,9,5)),To(this.a,t,r)}return o=l(Mn((a=l(Kn(this,16),29),a||(Tn(),Zb)),n),69),o.wk().Ak(this,Ku(this),n-yr((Tn(),Zb)),t,r)},h.Wh=function(t){var n;switch(t){case 0:return!!this.Ab&&this.Ab.i!=0;case 1:return this.zb!=null;case 2:return this.D!=null&&this.D==this.F;case 3:return!!zw(this);case 4:return!!X7e(this);case 5:return this.F!=null&&this.F!=this.D&&this.F!=this.B;case 6:return!!Qk(this);case 7:return!!this.A&&this.A.i!=0;case 8:return(this.Bb&256)==0;case 9:return!!this.a&&this.a.i!=0}return nf(this,t-yr((Tn(),Zb)),Mn((n=l(Kn(this,16),29),n||Zb),t))},h.bi=function(t,n){var r;switch(t){case 0:!this.Ab&&(this.Ab=new nt(mi,this,0,3)),$r(this.Ab),!this.Ab&&(this.Ab=new nt(mi,this,0,3)),As(this.Ab,l(n,16));return;case 1:FH(this,ei(n));return;case 2:Kse(this,ei(n));return;case 5:JE(this,ei(n));return;case 7:!this.A&&(this.A=new ml(Zu,this,7)),$r(this.A),!this.A&&(this.A=new ml(Zu,this,7)),As(this.A,l(n,16));return;case 8:jV(this,Rt(Bt(n)));return;case 9:!this.a&&(this.a=new nt(wp,this,9,5)),$r(this.a),!this.a&&(this.a=new nt(wp,this,9,5)),As(this.a,l(n,16));return}uf(this,t-yr((Tn(),Zb)),Mn((r=l(Kn(this,16),29),r||Zb),t),n)},h.ii=function(){return Tn(),Zb},h.ki=function(t){var n;switch(t){case 0:!this.Ab&&(this.Ab=new nt(mi,this,0,3)),$r(this.Ab);return;case 1:De(this.Cb,184)&&(l(this.Cb,184).tb=null),Fu(this,null);return;case 2:CE(this,null),lE(this,this.D);return;case 5:JE(this,null);return;case 7:!this.A&&(this.A=new ml(Zu,this,7)),$r(this.A);return;case 8:jV(this,!0);return;case 9:!this.a&&(this.a=new nt(wp,this,9,5)),$r(this.a);return}cf(this,t-yr((Tn(),Zb)),Mn((n=l(Kn(this,16),29),n||Zb),t))},h.pi=function(){var t,n;if(this.a)for(t=0,n=this.a.i;t>16==5?l(this.Cb,685):null}return sf(this,t-yr((Tn(),D2)),Mn((a=l(Kn(this,16),29),a||D2),t),n,r)},h.Sh=function(t,n,r){var a,o,f;switch(n){case 0:return!this.Ab&&(this.Ab=new nt(mi,this,0,3)),Ru(this.Ab,t,r);case 5:return this.Cb&&(r=(o=this.Db>>16,o>=0?agt(this,r):this.Cb.Th(this,-1-o,null,r))),Nh(this,t,5,r)}return f=l(Mn((a=l(Kn(this,16),29),a||(Tn(),D2)),n),69),f.wk().zk(this,Ku(this),n-yr((Tn(),D2)),t,r)},h.Uh=function(t,n,r){var a,o;switch(n){case 0:return!this.Ab&&(this.Ab=new nt(mi,this,0,3)),To(this.Ab,t,r);case 5:return Nh(this,null,5,r)}return o=l(Mn((a=l(Kn(this,16),29),a||(Tn(),D2)),n),69),o.wk().Ak(this,Ku(this),n-yr((Tn(),D2)),t,r)},h.Wh=function(t){var n;switch(t){case 0:return!!this.Ab&&this.Ab.i!=0;case 1:return this.zb!=null;case 2:return this.d!=0;case 3:return!!this.b;case 4:return this.c!=null;case 5:return!!(this.Db>>16==5&&l(this.Cb,685))}return nf(this,t-yr((Tn(),D2)),Mn((n=l(Kn(this,16),29),n||D2),t))},h.bi=function(t,n){var r;switch(t){case 0:!this.Ab&&(this.Ab=new nt(mi,this,0,3)),$r(this.Ab),!this.Ab&&(this.Ab=new nt(mi,this,0,3)),As(this.Ab,l(n,16));return;case 1:Fu(this,ei(n));return;case 2:Qoe(this,l(n,17).a);return;case 3:r2t(this,l(n,2039));return;case 4:Zoe(this,ei(n));return}uf(this,t-yr((Tn(),D2)),Mn((r=l(Kn(this,16),29),r||D2),t),n)},h.ii=function(){return Tn(),D2},h.ki=function(t){var n;switch(t){case 0:!this.Ab&&(this.Ab=new nt(mi,this,0,3)),$r(this.Ab);return;case 1:Fu(this,null);return;case 2:Qoe(this,0);return;case 3:r2t(this,null);return;case 4:Zoe(this,null);return}cf(this,t-yr((Tn(),D2)),Mn((n=l(Kn(this,16),29),n||D2),t))},h.Ib=function(){var t;return t=this.c,t??this.zb},h.b=null,h.c=null,h.d=0,I(Gn,"EEnumLiteralImpl",582);var OOn=ks(Gn,"EFactoryImpl/InternalEDateTimeFormat");D(499,1,{2114:1},KI),I(Gn,"EFactoryImpl/1ClientInternalEDateTimeFormat",499),D(248,120,{110:1,94:1,93:1,89:1,58:1,114:1,54:1,99:1,248:1,119:1,120:1},Qv),h.Ch=function(t,n,r){var a;return r=Nh(this,t,n,r),this.e&&De(t,179)&&(a=SU(this,this.e),a!=this.c&&(r=ZE(this,a,r))),r},h.Lh=function(t,n,r){var a;switch(t){case 0:return this.f;case 1:return!this.d&&(this.d=new Ys(Wo,this,1)),this.d;case 2:return n?jU(this):this.c;case 3:return this.b;case 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Tn(),E3},h.ki=function(t){var n;switch(t){case 0:Cgt(this,null);return;case 1:!this.d&&(this.d=new Ys(Wo,this,1)),$r(this.d);return;case 3:Axe(this,null);return;case 4:Kxe(this,null);return;case 5:sE(this,null);return}cf(this,t-yr((Tn(),E3)),Mn((n=l(Kn(this,16),29),n||E3),t))},h.Ib=function(){var t;return t=new Th(g0(this)),t.a+=" (expression: ",wle(this,t),t.a+=")",t.a};var LPe;I(Gn,"EGenericTypeImpl",248),D(2067,2062,KG),h.Gi=function(t,n){Drt(this,t,n)},h.Wk=function(t,n){return Drt(this,this.gc(),t),n},h.$i=function(t){return ff(this.pj(),t)},h.Ii=function(){return this.Ji()},h.pj=function(){return new EQe(this)},h.Ji=function(){return this.Ki(0)},h.Ki=function(t){return this.pj().fd(t)},h.Xk=function(t,n){return Ny(this,t,!0),n},h.Ti=function(t,n){var r,a;return a=kue(this,n),r=this.fd(t),r.Rb(a),a},h.Ui=function(t,n){var r;Ny(this,n,!0),r=this.fd(t),r.Rb(n)},I(us,"AbstractSequentialInternalEList",2067),D(496,2067,KG,TO),h.$i=function(t){return ff(this.pj(),t)},h.Ii=function(){return this.b==null?(Wp(),Wp(),dF):this.sl()},h.pj=function(){return new Xtt(this.a,this.b)},h.Ji=function(){return this.b==null?(Wp(),Wp(),dF):this.sl()},h.Ki=function(t){var n,r;if(this.b==null){if(t<0||t>1)throw ue(new tc(CL+t+", size=0"));return Wp(),Wp(),dF}for(r=this.sl(),n=0;n0;)if(n=this.c[--this.d],(!this.e||n.pk()!=oC||n.Lj()!=0)&&(!this.vl()||this.b.Xh(n))){if(f=this.b.Nh(n,this.ul()),this.f=(Fo(),l(n,69).xk()),this.f||n.Jk()){if(this.ul()?(a=l(f,15),this.k=a):(a=l(f,71),this.k=this.j=a),De(this.k,59)?(this.o=this.k.gc(),this.n=this.o):this.p=this.j?this.j.Ki(this.k.gc()):this.k.fd(this.k.gc()),this.p?wpt(this,this.p):Mpt(this))return o=this.p?this.p.Ub():this.j?this.j.$i(--this.n):this.k.Xb(--this.n),this.f?(t=l(o,76),t.Lk(),r=t.md(),this.i=r):(r=o,this.i=r),this.g=-3,!0}else if(f!=null)return this.k=null,this.p=null,r=f,this.i=r,this.g=-2,!0}return this.k=null,this.p=null,this.g=-1,!1}else return o=this.p?this.p.Ub():this.j?this.j.$i(--this.n):this.k.Xb(--this.n),this.f?(t=l(o,76),t.Lk(),r=t.md(),this.i=r):(r=o,this.i=r),this.g=-3,!0}},h.Pb=function(){return MV(this)},h.Tb=function(){return this.a},h.Ub=function(){var t;if(this.g<-1||this.Sb())return--this.a,this.g=0,t=this.i,this.Sb(),t;throw ue(new _c)},h.Vb=function(){return this.a-1},h.Qb=function(){throw ue(new Qr)},h.ul=function(){return!1},h.Wb=function(t){throw ue(new Qr)},h.vl=function(){return!0},h.a=0,h.d=0,h.f=!1,h.g=0,h.n=0,h.o=0;var dF;I(us,"EContentsEList/FeatureIteratorImpl",287),D(711,287,WG,Rye),h.ul=function(){return!0},I(us,"EContentsEList/ResolvingFeatureIteratorImpl",711),D(1178,711,WG,brt),h.vl=function(){return!1},I(Gn,"ENamedElementImpl/1/1",1178),D(1179,287,WG,mrt),h.vl=function(){return!1},I(Gn,"ENamedElementImpl/1/2",1179),D(39,152,YP,Cy,koe,_a,Foe,Zg,h0,Q6e,Xot,J6e,Qot,p6e,Jot,t7e,Zot,b6e,ect,Z6e,tct,X_,sN,roe,e7e,nct,m6e,rct),h.Kj=function(){return N6e(this)},h.Rj=function(){var t;return t=N6e(this),t?t.ik():null},h.hj=function(t){return this.b==-1&&this.a&&(this.b=this.c.Hh(this.a.Lj(),this.a.pk())),this.c.yh(this.b,t)},h.jj=function(){return this.c},h.Sj=function(){var t;return t=N6e(this),t?t.tk():!1},h.b=-1,I(Gn,"ENotificationImpl",39),D(411,292,{110:1,94:1,93:1,155:1,197:1,58:1,62:1,114:1,481:1,54:1,99:1,158:1,411:1,292:1,119:1,120:1},qie),h.Ah=function(t){return ugt(this,t)},h.Lh=function(t,n,r){var a,o,f;switch(t){case 0:return!this.Ab&&(this.Ab=new nt(mi,this,0,3)),this.Ab;case 1:return this.zb;case 2:return Hn(),!!(this.Bb&256);case 3:return Hn(),!!(this.Bb&512);case 4:return pt(this.s);case 5:return pt(this.t);case 6:return Hn(),f=this.t,f>1||f==-1;case 7:return Hn(),o=this.s,o>=1;case 8:return n?Of(this):this.r;case 9:return this.q;case 10:return this.Db>>16==10?l(this.Cb,29):null;case 11:return!this.d&&(this.d=new ml(Zu,this,11)),this.d;case 12:return!this.c&&(this.c=new nt(k3,this,12,10)),this.c;case 13:return!this.a&&(this.a=new LO(this,this)),this.a;case 14:return Xl(this)}return sf(this,t-yr((Tn(),I2)),Mn((a=l(Kn(this,16),29),a||I2),t),n,r)},h.Sh=function(t,n,r){var a,o,f;switch(n){case 0:return!this.Ab&&(this.Ab=new nt(mi,this,0,3)),Ru(this.Ab,t,r);case 10:return this.Cb&&(r=(o=this.Db>>16,o>=0?ugt(this,r):this.Cb.Th(this,-1-o,null,r))),Nh(this,t,10,r);case 12:return!this.c&&(this.c=new nt(k3,this,12,10)),Ru(this.c,t,r)}return f=l(Mn((a=l(Kn(this,16),29),a||(Tn(),I2)),n),69),f.wk().zk(this,Ku(this),n-yr((Tn(),I2)),t,r)},h.Uh=function(t,n,r){var a,o;switch(n){case 0:return!this.Ab&&(this.Ab=new nt(mi,this,0,3)),To(this.Ab,t,r);case 9:return qae(this,r);case 10:return Nh(this,null,10,r);case 11:return!this.d&&(this.d=new ml(Zu,this,11)),To(this.d,t,r);case 12:return!this.c&&(this.c=new nt(k3,this,12,10)),To(this.c,t,r);case 14:return To(Xl(this),t,r)}return o=l(Mn((a=l(Kn(this,16),29),a||(Tn(),I2)),n),69),o.wk().Ak(this,Ku(this),n-yr((Tn(),I2)),t,r)},h.Wh=function(t){var n,r,a;switch(t){case 0:return!!this.Ab&&this.Ab.i!=0;case 1:return this.zb!=null;case 2:return(this.Bb&256)==0;case 3:return(this.Bb&512)==0;case 4:return this.s!=0;case 5:return this.t!=1;case 6:return a=this.t,a>1||a==-1;case 7:return r=this.s,r>=1;case 8:return!!this.r&&!this.q.e&&yw(this.q).i==0;case 9:return!!this.q&&!(this.r&&!this.q.e&&yw(this.q).i==0);case 10:return!!(this.Db>>16==10&&l(this.Cb,29));case 11:return!!this.d&&this.d.i!=0;case 12:return!!this.c&&this.c.i!=0;case 13:return!!this.a&&Xl(this.a.a).i!=0&&!(this.b&&uue(this.b));case 14:return!!this.b&&uue(this.b)}return nf(this,t-yr((Tn(),I2)),Mn((n=l(Kn(this,16),29),n||I2),t))},h.bi=function(t,n){var r,a;switch(t){case 0:!this.Ab&&(this.Ab=new nt(mi,this,0,3)),$r(this.Ab),!this.Ab&&(this.Ab=new nt(mi,this,0,3)),As(this.Ab,l(n,16));return;case 1:Fu(this,ei(n));return;case 2:c2(this,Rt(Bt(n)));return;case 3:u2(this,Rt(Bt(n)));return;case 4:i2(this,l(n,17).a);return;case 5:My(this,l(n,17).a);return;case 8:Gm(this,l(n,142));return;case 9:a=$1(this,l(n,89),null),a&&a.oj();return;case 11:!this.d&&(this.d=new ml(Zu,this,11)),$r(this.d),!this.d&&(this.d=new ml(Zu,this,11)),As(this.d,l(n,16));return;case 12:!this.c&&(this.c=new nt(k3,this,12,10)),$r(this.c),!this.c&&(this.c=new nt(k3,this,12,10)),As(this.c,l(n,16));return;case 13:!this.a&&(this.a=new LO(this,this)),tL(this.a),!this.a&&(this.a=new LO(this,this)),As(this.a,l(n,16));return;case 14:$r(Xl(this)),As(Xl(this),l(n,16));return}uf(this,t-yr((Tn(),I2)),Mn((r=l(Kn(this,16),29),r||I2),t),n)},h.ii=function(){return Tn(),I2},h.ki=function(t){var n,r;switch(t){case 0:!this.Ab&&(this.Ab=new nt(mi,this,0,3)),$r(this.Ab);return;case 1:Fu(this,null);return;case 2:c2(this,!0);return;case 3:u2(this,!0);return;case 4:i2(this,0);return;case 5:My(this,1);return;case 8:Gm(this,null);return;case 9:r=$1(this,null,null),r&&r.oj();return;case 11:!this.d&&(this.d=new ml(Zu,this,11)),$r(this.d);return;case 12:!this.c&&(this.c=new nt(k3,this,12,10)),$r(this.c);return;case 13:this.a&&tL(this.a);return;case 14:this.b&&$r(this.b);return}cf(this,t-yr((Tn(),I2)),Mn((n=l(Kn(this,16),29),n||I2),t))},h.pi=function(){var t,n;if(this.c)for(t=0,n=this.c.i;tw&&Ts(t,w,null),a=0,r=new or(Xl(this.a));r.e!=r.i.gc();)n=l(gr(r),89),f=(g=n.c,g||(Tn(),td)),Ts(t,a++,f);return t},h.Hj=function(){var t,n,r,a,o;for(o=new Up,o.a+="[",t=Xl(this.a),n=0,a=Xl(this.a).i;n1);case 5:return rA(this,t,n,r,a,this.i-l(r,15).gc()>0);default:return new Zg(this.e,t,this.c,n,r,a,!0)}},h.Tj=function(){return!0},h.Qj=function(){return uue(this)},h.Gk=function(){$r(this)},I(Gn,"EOperationImpl/2",1377),D(507,1,{2037:1,507:1},Ott),I(Gn,"EPackageImpl/1",507),D(14,83,kc,nt),h.il=function(){return this.d},h.jl=function(){return this.b},h.ml=function(){return!0},h.b=0,I(us,"EObjectContainmentWithInverseEList",14),D(365,14,kc,V8),h.nl=function(){return!0},h.Wi=function(t,n){return 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0:return!this.Ab&&(this.Ab=new nt(mi,this,0,3)),Ru(this.Ab,t,r);case 10:return this.Cb&&(r=(o=this.Db>>16,o>=0?lgt(this,r):this.Cb.Th(this,-1-o,null,r))),Nh(this,t,10,r)}return f=l(Mn((a=l(Kn(this,16),29),a||(Tn(),N4)),n),69),f.wk().zk(this,Ku(this),n-yr((Tn(),N4)),t,r)},h.Uh=function(t,n,r){var a,o;switch(n){case 0:return!this.Ab&&(this.Ab=new nt(mi,this,0,3)),To(this.Ab,t,r);case 9:return qae(this,r);case 10:return Nh(this,null,10,r)}return o=l(Mn((a=l(Kn(this,16),29),a||(Tn(),N4)),n),69),o.wk().Ak(this,Ku(this),n-yr((Tn(),N4)),t,r)},h.Wh=function(t){var n,r,a;switch(t){case 0:return!!this.Ab&&this.Ab.i!=0;case 1:return this.zb!=null;case 2:return(this.Bb&256)==0;case 3:return(this.Bb&512)==0;case 4:return this.s!=0;case 5:return this.t!=1;case 6:return a=this.t,a>1||a==-1;case 7:return r=this.s,r>=1;case 8:return!!this.r&&!this.q.e&&yw(this.q).i==0;case 9:return!!this.q&&!(this.r&&!this.q.e&&yw(this.q).i==0);case 10:return!!(this.Db>>16==10&&l(this.Cb,62))}return 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oft(this.c,t)},h.Zl=function(t){jdt(this.c,t)},I(us,"FeatureMapUtil/FeatureFeatureMap",564),D(1294,1,i0e,Ptt),h.Fk=function(t){return qU(this.b,this.a,-1,t)},h.Qj=function(){return!FN(this.b,this.a)},h.Wb=function(t){HU(this.b,this.a,t)},h.Gk=function(){EU(this.b,this.a)},I(us,"FeatureMapUtil/FeatureValue",1294);var c9,ape,ope,u9,nAt,gF=ks(nK,"AnyType");D(680,63,lp,Jie),I(nK,"InvalidDatatypeValueException",680);var AY=ks(nK,M5t),pF=ks(nK,D5t),VPe=ks(nK,I5t),rAt,tu,UPe,Sv,iAt,sAt,aAt,oAt,cAt,uAt,lAt,hAt,fAt,dAt,gAt,c7,pAt,u7,HM,bAt,C3,bF,mF,mAt,VM,UM;D(844,516,{110:1,94:1,93:1,58:1,54:1,99:1,857:1},zwe),h.Lh=function(t,n,r){switch(t){case 0:return r?(!this.c&&(this.c=new Ls(this,0)),this.c):(!this.c&&(this.c=new Ls(this,0)),this.c.b);case 1:return r?(!this.c&&(this.c=new Ls(this,0)),l(ku(this.c,(Gi(),Sv)),160)):(!this.c&&(this.c=new Ls(this,0)),l(l(ku(this.c,(Gi(),Sv)),160),220)).Vl();case 2:return r?(!this.b&&(this.b=new Ls(this,2)),this.b):(!this.b&&(this.b=new Ls(this,2)),this.b.b)}return sf(this,t-yr(this.ii()),Mn(this.j&2?(!this.k&&(this.k=new Sf),this.k).Nk():this.ii(),t),n,r)},h.Uh=function(t,n,r){var a;switch(n){case 0:return!this.c&&(this.c=new Ls(this,0)),hP(this.c,t,r);case 1:return(!this.c&&(this.c=new Ls(this,0)),l(l(ku(this.c,(Gi(),Sv)),160),71)).Xk(t,r);case 2:return!this.b&&(this.b=new Ls(this,2)),hP(this.b,t,r)}return a=l(Mn(this.j&2?(!this.k&&(this.k=new Sf),this.k).Nk():this.ii(),n),69),a.wk().Ak(this,V6e(this),n-yr(this.ii()),t,r)},h.Wh=function(t){switch(t){case 0:return!!this.c&&this.c.i!=0;case 1:return!(!this.c&&(this.c=new Ls(this,0)),l(ku(this.c,(Gi(),Sv)),160)).dc();case 2:return!!this.b&&this.b.i!=0}return nf(this,t-yr(this.ii()),Mn(this.j&2?(!this.k&&(this.k=new Sf),this.k).Nk():this.ii(),t))},h.bi=function(t,n){switch(t){case 0:!this.c&&(this.c=new Ls(this,0)),$O(this.c,n);return;case 1:(!this.c&&(this.c=new Ls(this,0)),l(l(ku(this.c,(Gi(),Sv)),160),220)).Wb(n);return;case 2:!this.b&&(this.b=new Ls(this,2)),$O(this.b,n);return}uf(this,t-yr(this.ii()),Mn(this.j&2?(!this.k&&(this.k=new Sf),this.k).Nk():this.ii(),t),n)},h.ii=function(){return Gi(),UPe},h.ki=function(t){switch(t){case 0:!this.c&&(this.c=new Ls(this,0)),$r(this.c);return;case 1:(!this.c&&(this.c=new Ls(this,0)),l(ku(this.c,(Gi(),Sv)),160)).$b();return;case 2:!this.b&&(this.b=new Ls(this,2)),$r(this.b);return}cf(this,t-yr(this.ii()),Mn(this.j&2?(!this.k&&(this.k=new Sf),this.k).Nk():this.ii(),t))},h.Ib=function(){var t;return this.j&4?g0(this):(t=new Af(g0(this)),t.a+=" (mixed: ",O_(t,this.c),t.a+=", anyAttribute: ",O_(t,this.b),t.a+=")",t.a)},I(ea,"AnyTypeImpl",844),D(681,516,{110:1,94:1,93:1,58:1,54:1,99:1,2119:1,681:1},yre),h.Lh=function(t,n,r){switch(t){case 0:return this.a;case 1:return this.b}return sf(this,t-yr((Gi(),c7)),Mn(this.j&2?(!this.k&&(this.k=new Sf),this.k).Nk():c7,t),n,r)},h.Wh=function(t){switch(t){case 0:return this.a!=null;case 1:return this.b!=null}return nf(this,t-yr((Gi(),c7)),Mn(this.j&2?(!this.k&&(this.k=new Sf),this.k).Nk():c7,t))},h.bi=function(t,n){switch(t){case 0:vr(this,ei(n));return;case 1:pr(this,ei(n));return}uf(this,t-yr((Gi(),c7)),Mn(this.j&2?(!this.k&&(this.k=new Sf),this.k).Nk():c7,t),n)},h.ii=function(){return Gi(),c7},h.ki=function(t){switch(t){case 0:this.a=null;return;case 1:this.b=null;return}cf(this,t-yr((Gi(),c7)),Mn(this.j&2?(!this.k&&(this.k=new Sf),this.k).Nk():c7,t))},h.Ib=function(){var t;return this.j&4?g0(this):(t=new Af(g0(this)),t.a+=" (data: ",Xo(t,this.a),t.a+=", target: ",Xo(t,this.b),t.a+=")",t.a)},h.a=null,h.b=null,I(ea,"ProcessingInstructionImpl",681),D(682,844,{110:1,94:1,93:1,58:1,54:1,99:1,857:1,2120:1,682:1},fJe),h.Lh=function(t,n,r){switch(t){case 0:return r?(!this.c&&(this.c=new Ls(this,0)),this.c):(!this.c&&(this.c=new Ls(this,0)),this.c.b);case 1:return r?(!this.c&&(this.c=new Ls(this,0)),l(ku(this.c,(Gi(),Sv)),160)):(!this.c&&(this.c=new Ls(this,0)),l(l(ku(this.c,(Gi(),Sv)),160),220)).Vl();case 2:return r?(!this.b&&(this.b=new Ls(this,2)),this.b):(!this.b&&(this.b=new Ls(this,2)),this.b.b);case 3:return!this.c&&(this.c=new Ls(this,0)),ei(pP(this.c,(Gi(),HM),!0));case 4:return l4e(this.a,(!this.c&&(this.c=new Ls(this,0)),ei(pP(this.c,(Gi(),HM),!0))));case 5:return this.a}return sf(this,t-yr((Gi(),u7)),Mn(this.j&2?(!this.k&&(this.k=new Sf),this.k).Nk():u7,t),n,r)},h.Wh=function(t){switch(t){case 0:return!!this.c&&this.c.i!=0;case 1:return!(!this.c&&(this.c=new Ls(this,0)),l(ku(this.c,(Gi(),Sv)),160)).dc();case 2:return!!this.b&&this.b.i!=0;case 3:return!this.c&&(this.c=new Ls(this,0)),ei(pP(this.c,(Gi(),HM),!0))!=null;case 4:return l4e(this.a,(!this.c&&(this.c=new Ls(this,0)),ei(pP(this.c,(Gi(),HM),!0))))!=null;case 5:return!!this.a}return nf(this,t-yr((Gi(),u7)),Mn(this.j&2?(!this.k&&(this.k=new Sf),this.k).Nk():u7,t))},h.bi=function(t,n){switch(t){case 0:!this.c&&(this.c=new Ls(this,0)),$O(this.c,n);return;case 1:(!this.c&&(this.c=new Ls(this,0)),l(l(ku(this.c,(Gi(),Sv)),160),220)).Wb(n);return;case 2:!this.b&&(this.b=new Ls(this,2)),$O(this.b,n);return;case 3:J5e(this,ei(n));return;case 4:J5e(this,u4e(this.a,n));return;case 5:Nn(this,l(n,156));return}uf(this,t-yr((Gi(),u7)),Mn(this.j&2?(!this.k&&(this.k=new Sf),this.k).Nk():u7,t),n)},h.ii=function(){return Gi(),u7},h.ki=function(t){switch(t){case 0:!this.c&&(this.c=new Ls(this,0)),$r(this.c);return;case 1:(!this.c&&(this.c=new Ls(this,0)),l(ku(this.c,(Gi(),Sv)),160)).$b();return;case 2:!this.b&&(this.b=new Ls(this,2)),$r(this.b);return;case 3:!this.c&&(this.c=new Ls(this,0)),HU(this.c,(Gi(),HM),null);return;case 4:J5e(this,u4e(this.a,null));return;case 5:this.a=null;return}cf(this,t-yr((Gi(),u7)),Mn(this.j&2?(!this.k&&(this.k=new Sf),this.k).Nk():u7,t))},I(ea,"SimpleAnyTypeImpl",682),D(683,516,{110:1,94:1,93:1,58:1,54:1,99:1,2121:1,683:1},dJe),h.Lh=function(t,n,r){switch(t){case 0:return r?(!this.a&&(this.a=new Ls(this,0)),this.a):(!this.a&&(this.a=new Ls(this,0)),this.a.b);case 1:return r?(!this.b&&(this.b=new xl((Tn(),No),Yc,this,1)),this.b):(!this.b&&(this.b=new xl((Tn(),No),Yc,this,1)),iN(this.b));case 2:return r?(!this.c&&(this.c=new xl((Tn(),No),Yc,this,2)),this.c):(!this.c&&(this.c=new xl((Tn(),No),Yc,this,2)),iN(this.c));case 3:return!this.a&&(this.a=new Ls(this,0)),ku(this.a,(Gi(),bF));case 4:return!this.a&&(this.a=new Ls(this,0)),ku(this.a,(Gi(),mF));case 5:return!this.a&&(this.a=new Ls(this,0)),ku(this.a,(Gi(),VM));case 6:return!this.a&&(this.a=new Ls(this,0)),ku(this.a,(Gi(),UM))}return sf(this,t-yr((Gi(),C3)),Mn(this.j&2?(!this.k&&(this.k=new Sf),this.k).Nk():C3,t),n,r)},h.Uh=function(t,n,r){var a;switch(n){case 0:return!this.a&&(this.a=new Ls(this,0)),hP(this.a,t,r);case 1:return!this.b&&(this.b=new xl((Tn(),No),Yc,this,1)),Uq(this.b,t,r);case 2:return!this.c&&(this.c=new xl((Tn(),No),Yc,this,2)),Uq(this.c,t,r);case 5:return!this.a&&(this.a=new Ls(this,0)),Irt(ku(this.a,(Gi(),VM)),t,r)}return a=l(Mn(this.j&2?(!this.k&&(this.k=new Sf),this.k).Nk():(Gi(),C3),n),69),a.wk().Ak(this,V6e(this),n-yr((Gi(),C3)),t,r)},h.Wh=function(t){switch(t){case 0:return!!this.a&&this.a.i!=0;case 1:return!!this.b&&this.b.f!=0;case 2:return!!this.c&&this.c.f!=0;case 3:return!this.a&&(this.a=new Ls(this,0)),!_q(ku(this.a,(Gi(),bF)));case 4:return!this.a&&(this.a=new Ls(this,0)),!_q(ku(this.a,(Gi(),mF)));case 5:return!this.a&&(this.a=new Ls(this,0)),!_q(ku(this.a,(Gi(),VM)));case 6:return!this.a&&(this.a=new Ls(this,0)),!_q(ku(this.a,(Gi(),UM)))}return nf(this,t-yr((Gi(),C3)),Mn(this.j&2?(!this.k&&(this.k=new Sf),this.k).Nk():C3,t))},h.bi=function(t,n){switch(t){case 0:!this.a&&(this.a=new Ls(this,0)),$O(this.a,n);return;case 1:!this.b&&(this.b=new xl((Tn(),No),Yc,this,1)),_V(this.b,n);return;case 2:!this.c&&(this.c=new xl((Tn(),No),Yc,this,2)),_V(this.c,n);return;case 3:!this.a&&(this.a=new Ls(this,0)),_8(ku(this.a,(Gi(),bF))),!this.a&&(this.a=new Ls(this,0)),F_(ku(this.a,bF),l(n,16));return;case 4:!this.a&&(this.a=new Ls(this,0)),_8(ku(this.a,(Gi(),mF))),!this.a&&(this.a=new Ls(this,0)),F_(ku(this.a,mF),l(n,16));return;case 5:!this.a&&(this.a=new Ls(this,0)),_8(ku(this.a,(Gi(),VM))),!this.a&&(this.a=new Ls(this,0)),F_(ku(this.a,VM),l(n,16));return;case 6:!this.a&&(this.a=new Ls(this,0)),_8(ku(this.a,(Gi(),UM))),!this.a&&(this.a=new Ls(this,0)),F_(ku(this.a,UM),l(n,16));return}uf(this,t-yr((Gi(),C3)),Mn(this.j&2?(!this.k&&(this.k=new Sf),this.k).Nk():C3,t),n)},h.ii=function(){return Gi(),C3},h.ki=function(t){switch(t){case 0:!this.a&&(this.a=new Ls(this,0)),$r(this.a);return;case 1:!this.b&&(this.b=new xl((Tn(),No),Yc,this,1)),this.b.c.$b();return;case 2:!this.c&&(this.c=new xl((Tn(),No),Yc,this,2)),this.c.c.$b();return;case 3:!this.a&&(this.a=new Ls(this,0)),_8(ku(this.a,(Gi(),bF)));return;case 4:!this.a&&(this.a=new Ls(this,0)),_8(ku(this.a,(Gi(),mF)));return;case 5:!this.a&&(this.a=new Ls(this,0)),_8(ku(this.a,(Gi(),VM)));return;case 6:!this.a&&(this.a=new Ls(this,0)),_8(ku(this.a,(Gi(),UM)));return}cf(this,t-yr((Gi(),C3)),Mn(this.j&2?(!this.k&&(this.k=new Sf),this.k).Nk():C3,t))},h.Ib=function(){var t;return this.j&4?g0(this):(t=new Af(g0(this)),t.a+=" (mixed: ",O_(t,this.a),t.a+=")",t.a)},I(ea,"XMLTypeDocumentRootImpl",683),D(2028,720,{110:1,94:1,93:1,480:1,155:1,58:1,114:1,54:1,99:1,158:1,119:1,120:1,2122:1},uk),h.ri=function(t,n){switch(t.hk()){case 7:case 8:case 9:case 10:case 16:case 22:case 23:case 24:case 25:case 26:case 32:case 33:case 34:case 36:case 37:case 44:case 45:case 50:case 51:case 53:case 55:case 56:case 57:case 58:case 60:case 61:case 4:return n==null?null:xc(n);case 19:case 28:case 29:case 35:case 38:case 39:case 41:case 46:case 52:case 54:case 5:return ei(n);case 6:return ufn(l(n,195));case 12:case 47:case 49:case 11:return Lvt(this,t,n);case 13:return n==null?null:yLn(l(n,247));case 15:case 14:return n==null?null:Cgn(ze(Ge(n)));case 17:return Sgt((Gi(),n));case 18:return Sgt(n);case 21:case 20:return n==null?null:Sgn(l(n,161).a);case 27:return lfn(l(n,195));case 30:return $dt((Gi(),l(n,15)));case 31:return $dt(l(n,15));case 40:return ffn((Gi(),n));case 42:return _gt((Gi(),n));case 43:return _gt(n);case 59:case 48:return hfn((Gi(),n));default:throw ue(new Yn(yT+t.xe()+t3))}},h.si=function(t){var n,r,a,o,f;switch(t.G==-1&&(t.G=(r=Ah(t),r?f2(r.vi(),t):-1)),t.G){case 0:return n=new zwe,n;case 1:return a=new yre,a;case 2:return o=new fJe,o;case 3:return f=new dJe,f;default:throw ue(new Yn(qfe+t.zb+t3))}},h.ti=function(t,n){var r,a,o,f,g,w,E,C,L,B,z,V,J,te,fe,Te;switch(t.hk()){case 5:case 52:case 4:return n;case 6:return v6n(n);case 8:case 7:return n==null?null:ixn(n);case 9:return n==null?null:fN(Oh((a=Tu(n,!0),a.length>0&&(Xn(0,a.length),a.charCodeAt(0)==43)?(Xn(1,a.length+1),a.substr(1)):a),-128,127)<<24>>24);case 10:return n==null?null:fN(Oh((o=Tu(n,!0),o.length>0&&(Xn(0,o.length),o.charCodeAt(0)==43)?(Xn(1,o.length+1),o.substr(1)):o),-128,127)<<24>>24);case 11:return ei(Kw(this,(Gi(),aAt),n));case 12:return ei(Kw(this,(Gi(),oAt),n));case 13:return n==null?null:new h3e(Tu(n,!0));case 15:case 14:return _Tn(n);case 16:return ei(Kw(this,(Gi(),cAt),n));case 17:return q1t((Gi(),n));case 18:return q1t(n);case 28:case 29:case 35:case 38:case 39:case 41:case 54:case 19:return Tu(n,!0);case 21:case 20:return FTn(n);case 22:return ei(Kw(this,(Gi(),uAt),n));case 23:return ei(Kw(this,(Gi(),lAt),n));case 24:return ei(Kw(this,(Gi(),hAt),n));case 25:return ei(Kw(this,(Gi(),fAt),n));case 26:return ei(Kw(this,(Gi(),dAt),n));case 27:return a6n(n);case 30:return H1t((Gi(),n));case 31:return H1t(n);case 32:return n==null?null:pt(Oh((L=Tu(n,!0),L.length>0&&(Xn(0,L.length),L.charCodeAt(0)==43)?(Xn(1,L.length+1),L.substr(1)):L),lo,Ii));case 33:return n==null?null:new ob((B=Tu(n,!0),B.length>0&&(Xn(0,B.length),B.charCodeAt(0)==43)?(Xn(1,B.length+1),B.substr(1)):B));case 34:return n==null?null:pt(Oh((z=Tu(n,!0),z.length>0&&(Xn(0,z.length),z.charCodeAt(0)==43)?(Xn(1,z.length+1),z.substr(1)):z),lo,Ii));case 36:return n==null?null:ap(KU((V=Tu(n,!0),V.length>0&&(Xn(0,V.length),V.charCodeAt(0)==43)?(Xn(1,V.length+1),V.substr(1)):V)));case 37:return n==null?null:ap(KU((J=Tu(n,!0),J.length>0&&(Xn(0,J.length),J.charCodeAt(0)==43)?(Xn(1,J.length+1),J.substr(1)):J)));case 40:return r7n((Gi(),n));case 42:return V1t((Gi(),n));case 43:return V1t(n);case 44:return n==null?null:new ob((te=Tu(n,!0),te.length>0&&(Xn(0,te.length),te.charCodeAt(0)==43)?(Xn(1,te.length+1),te.substr(1)):te));case 45:return n==null?null:new ob((fe=Tu(n,!0),fe.length>0&&(Xn(0,fe.length),fe.charCodeAt(0)==43)?(Xn(1,fe.length+1),fe.substr(1)):fe));case 46:return Tu(n,!1);case 47:return ei(Kw(this,(Gi(),gAt),n));case 59:case 48:return n7n((Gi(),n));case 49:return ei(Kw(this,(Gi(),pAt),n));case 50:return n==null?null:_E(Oh((Te=Tu(n,!0),Te.length>0&&(Xn(0,Te.length),Te.charCodeAt(0)==43)?(Xn(1,Te.length+1),Te.substr(1)):Te),JG,32767)<<16>>16);case 51:return n==null?null:_E(Oh((f=Tu(n,!0),f.length>0&&(Xn(0,f.length),f.charCodeAt(0)==43)?(Xn(1,f.length+1),f.substr(1)):f),JG,32767)<<16>>16);case 53:return ei(Kw(this,(Gi(),bAt),n));case 55:return n==null?null:_E(Oh((g=Tu(n,!0),g.length>0&&(Xn(0,g.length),g.charCodeAt(0)==43)?(Xn(1,g.length+1),g.substr(1)):g),JG,32767)<<16>>16);case 56:return n==null?null:_E(Oh((w=Tu(n,!0),w.length>0&&(Xn(0,w.length),w.charCodeAt(0)==43)?(Xn(1,w.length+1),w.substr(1)):w),JG,32767)<<16>>16);case 57:return n==null?null:ap(KU((E=Tu(n,!0),E.length>0&&(Xn(0,E.length),E.charCodeAt(0)==43)?(Xn(1,E.length+1),E.substr(1)):E)));case 58:return n==null?null:ap(KU((C=Tu(n,!0),C.length>0&&(Xn(0,C.length),C.charCodeAt(0)==43)?(Xn(1,C.length+1),C.substr(1)):C)));case 60:return 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u=0;u<5;u++)s+=` + .subgraph-lvl-${u} { + fill: ${i[`surface${u}`]}; + stroke: ${i[`surfacePeer${u}`]}; + } + `;return s},jan=Object.freeze(Object.defineProperty({__proto__:null,diagram:{db:_Ut,renderer:Fan,parser:Gbe,styles:i=>`.label { + font-family: ${i.fontFamily}; + color: ${i.nodeTextColor||i.textColor}; + } + .cluster-label text { + fill: ${i.titleColor}; + } + .cluster-label span { + color: ${i.titleColor}; + } + + .label text,span { + fill: ${i.nodeTextColor||i.textColor}; + color: ${i.nodeTextColor||i.textColor}; + } + + .node rect, + .node circle, + .node ellipse, + .node polygon, + .node path { + fill: ${i.mainBkg}; + stroke: ${i.nodeBorder}; + stroke-width: 1px; + } + + .node .label { + text-align: center; + } + .node.clickable { + cursor: pointer; + } + + .arrowheadPath { + fill: ${i.arrowheadColor}; + } + + .edgePath .path { + stroke: ${i.lineColor}; + stroke-width: 2.0px; + } + + .flowchart-link { + stroke: ${i.lineColor}; + fill: none; + } + + .edgeLabel { + background-color: ${i.edgeLabelBackground}; + rect { + opacity: 0.85; + background-color: ${i.edgeLabelBackground}; + fill: ${i.edgeLabelBackground}; + } + text-align: center; + } + + .cluster rect { + fill: ${i.clusterBkg}; + stroke: ${i.clusterBorder}; + stroke-width: 1px; + } + + .cluster text { + fill: ${i.titleColor}; + } + + .cluster span { + color: ${i.titleColor}; + } + /* .cluster div { + color: ${i.titleColor}; + } */ + + div.mermaidTooltip { + position: absolute; + text-align: center; + max-width: 200px; + padding: 2px; + font-family: ${i.fontFamily}; + font-size: 12px; + background: ${i.tertiaryColor}; + border: 1px solid ${i.border2}; + border-radius: 2px; + pointer-events: none; + z-index: 100; + } + + .flowchartTitleText { + text-anchor: middle; + font-size: 18px; + fill: ${i.textColor}; + } + .subgraph { + stroke-width:2; + rx:3; + } + // .subgraph-lvl-1 { + // fill:#ccc; + // // stroke:black; + // } + + .flowchart-label text { + text-anchor: middle; + } + + ${Ran(i)} 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k5=O(ba,x.hoverData.downs);k5&&(x.hoverData.dragging=!0,x.hoverData.justStartedPan=!0,$c[4]=0,x.data.bgActivePosistion=J7(Es),x.redrawHint("select",!0),x.redraw())}ba&&ba.pannable()&&ba.active()&&ba.unactivate()}}else{if(ba&&ba.pannable()&&ba.active()&&ba.unactivate(),(!ba||!ba.grabbed())&&za!=Sc&&(Sc&&S(Sc,["mouseout","tapdragout"],G,{x:wr[0],y:wr[1]}),za&&S(za,["mouseover","tapdragover"],G,{x:wr[0],y:wr[1]}),x.hoverData.last=za),ba)if(Wl){if(lr.boxSelectionEnabled()&&Wv)ba&&ba.grabbed()&&(_e(lh),ba.emit("freeon"),lh.emit("free"),x.dragData.didDrag&&(ba.emit("dragfreeon"),lh.emit("dragfree"))),E8();else if(ba&&ba.grabbed()&&x.nodeIsDraggable(ba)){var Qd=!x.dragData.didDrag;Qd&&x.redrawHint("eles",!0),x.dragData.didDrag=!0,x.hoverData.draggingEles||me(lh,{inDragLayer:!0});var _1={x:0,y:0};if(X(xo[0])&&X(xo[1])&&(_1.x+=xo[0],_1.y+=xo[1],Qd)){var Jd=x.hoverData.dragDelta;Jd&&X(Jd[0])&&X(Jd[1])&&(_1.x+=Jd[0],_1.y+=Jd[1])}x.hoverData.draggingEles=!0,lh.silentShift(_1).emit("position drag"),x.redrawHint("drag",!0),x.redraw()}}else sy();kr=!0}if($c[2]=wr[0],$c[3]=wr[1],kr)return G.stopPropagation&&G.stopPropagation(),G.preventDefault&&G.preventDefault(),!1}},!1);var Lt,Mt,ut;x.registerBinding(m,"mouseup",function(G){var Jn=x.hoverData.capture;if(Jn){x.hoverData.capture=!1;var kr=x.cy,lr=x.projectIntoViewport(G.clientX,G.clientY),Vt=x.selection,Hs=x.findNearestElement(lr[0],lr[1],!0,!1),wr=x.dragData.possibleDragElements,Es=x.hoverData.down,go=M(G);if(x.data.bgActivePosistion&&(x.redrawHint("select",!0),x.redraw()),x.hoverData.tapholdCancelled=!0,x.data.bgActivePosistion=void 0,Es&&Es.unactivate(),x.hoverData.which===3){var $c={originalEvent:G,type:"cxttapend",position:{x:lr[0],y:lr[1]}};if(Es?Es.emit($c):kr.emit($c),!x.hoverData.cxtDragged){var za={originalEvent:G,type:"cxttap",position:{x:lr[0],y:lr[1]}};Es?Es.emit(za):kr.emit(za)}x.hoverData.cxtDragged=!1,x.hoverData.which=null}else if(x.hoverData.which===1){if(S(Hs,["mouseup","tapend","vmouseup"],G,{x:lr[0],y:lr[1]}),!x.dragData.didDrag&&!x.hoverData.dragged&&!x.hoverData.selecting&&!x.hoverData.isOverThresholdDrag&&(S(Es,["click","tap","vclick"],G,{x:lr[0],y:lr[1]}),Mt=!1,G.timeStamp-ut<=kr.multiClickDebounceTime()?(Lt&&clearTimeout(Lt),Mt=!0,ut=null,S(Es,["dblclick","dbltap","vdblclick"],G,{x:lr[0],y:lr[1]})):(Lt=setTimeout(function(){Mt||S(Es,["oneclick","onetap","voneclick"],G,{x:lr[0],y:lr[1]})},kr.multiClickDebounceTime()),ut=G.timeStamp)),Es==null&&!x.dragData.didDrag&&!x.hoverData.selecting&&!x.hoverData.dragged&&!M(G)&&(kr.$(k).unselect(["tapunselect"]),wr.length>0&&x.redrawHint("eles",!0),x.dragData.possibleDragElements=wr=kr.collection()),Hs==Es&&!x.dragData.didDrag&&!x.hoverData.selecting&&Hs!=null&&Hs._private.selectable&&(x.hoverData.dragging||(kr.selectionType()==="additive"||go?Hs.selected()?Hs.unselect(["tapunselect"]):Hs.select(["tapselect"]):go||(kr.$(k).unmerge(Hs).unselect(["tapunselect"]),Hs.select(["tapselect"]))),x.redrawHint("eles",!0)),x.hoverData.selecting){var Sc=kr.collection(x.getAllInBox(Vt[0],Vt[1],Vt[2],Vt[3]));x.redrawHint("select",!0),Sc.length>0&&x.redrawHint("eles",!0),kr.emit({type:"boxend",originalEvent:G,position:{x:lr[0],y:lr[1]}});var ba=function(Wl){return Wl.selectable()&&!Wl.selected()};kr.selectionType()==="additive"||go||kr.$(k).unmerge(Sc).unselect(),Sc.emit("box").stdFilter(ba).select().emit("boxselect"),x.redraw()}if(x.hoverData.dragging&&(x.hoverData.dragging=!1,x.redrawHint("select",!0),x.redrawHint("eles",!0),x.redraw()),!Vt[4]){x.redrawHint("drag",!0),x.redrawHint("eles",!0);var xo=Es&&Es.grabbed();_e(wr),xo&&(Es.emit("freeon"),wr.emit("free"),x.dragData.didDrag&&(Es.emit("dragfreeon"),wr.emit("dragfree")))}}Vt[4]=0,x.hoverData.down=null,x.hoverData.cxtStarted=!1,x.hoverData.draggingEles=!1,x.hoverData.selecting=!1,x.hoverData.isOverThresholdDrag=!1,x.dragData.didDrag=!1,x.hoverData.dragged=!1,x.hoverData.dragDelta=[],x.hoverData.mdownPos=null,x.hoverData.mdownGPos=null}},!1);var Wt=function(G){if(!x.scrollingPage){var Jn=x.cy,kr=Jn.zoom(),lr=Jn.pan(),Vt=x.projectIntoViewport(G.clientX,G.clientY),Hs=[Vt[0]*kr+lr.x,Vt[1]*kr+lr.y];if(x.hoverData.draggingEles||x.hoverData.dragging||x.hoverData.cxtStarted||mt()){G.preventDefault();return}if(Jn.panningEnabled()&&Jn.userPanningEnabled()&&Jn.zoomingEnabled()&&Jn.userZoomingEnabled()){G.preventDefault(),x.data.wheelZooming=!0,clearTimeout(x.data.wheelTimeout),x.data.wheelTimeout=setTimeout(function(){x.data.wheelZooming=!1,x.redrawHint("eles",!0),x.redraw()},150);var wr;G.deltaY!=null?wr=G.deltaY/-250:G.wheelDeltaY!=null?wr=G.wheelDeltaY/1e3:wr=G.wheelDelta/1e3,wr=wr*x.wheelSensitivity;var Es=G.deltaMode===1;Es&&(wr*=33);var go=Jn.zoom()*Math.pow(10,wr);G.type==="gesturechange"&&(go=x.gestureStartZoom*G.scale),Jn.zoom({level:go,renderedPosition:{x:Hs[0],y:Hs[1]}}),Jn.emit(G.type==="gesturechange"?"pinchzoom":"scrollzoom")}}};x.registerBinding(x.container,"wheel",Wt,!0),x.registerBinding(m,"scroll",function(G){x.scrollingPage=!0,clearTimeout(x.scrollingPageTimeout),x.scrollingPageTimeout=setTimeout(function(){x.scrollingPage=!1},250)},!0),x.registerBinding(x.container,"gesturestart",function(G){x.gestureStartZoom=x.cy.zoom(),x.hasTouchStarted||G.preventDefault()},!0),x.registerBinding(x.container,"gesturechange",function(tr){x.hasTouchStarted||Wt(tr)},!0),x.registerBinding(x.container,"mouseout",function(G){var Jn=x.projectIntoViewport(G.clientX,G.clientY);x.cy.emit({originalEvent:G,type:"mouseout",position:{x:Jn[0],y:Jn[1]}})},!1),x.registerBinding(x.container,"mouseover",function(G){var Jn=x.projectIntoViewport(G.clientX,G.clientY);x.cy.emit({originalEvent:G,type:"mouseover",position:{x:Jn[0],y:Jn[1]}})},!1);var Tt,_n,hn,Yt,Dn,ir,vr,Nn,pr,Er,Mr,Cr,Or,Wn=function(G,Jn,kr,lr){return Math.sqrt((kr-G)*(kr-G)+(lr-Jn)*(lr-Jn))},br=function(G,Jn,kr,lr){return(kr-G)*(kr-G)+(lr-Jn)*(lr-Jn)},Sr;x.registerBinding(x.container,"touchstart",Sr=function(G){if(x.hasTouchStarted=!0,!!Je(G)){Be(),x.touchData.capture=!0,x.data.bgActivePosistion=void 0;var Jn=x.cy,kr=x.touchData.now,lr=x.touchData.earlier;if(G.touches[0]){var Vt=x.projectIntoViewport(G.touches[0].clientX,G.touches[0].clientY);kr[0]=Vt[0],kr[1]=Vt[1]}if(G.touches[1]){var Vt=x.projectIntoViewport(G.touches[1].clientX,G.touches[1].clientY);kr[2]=Vt[0],kr[3]=Vt[1]}if(G.touches[2]){var Vt=x.projectIntoViewport(G.touches[2].clientX,G.touches[2].clientY);kr[4]=Vt[0],kr[5]=Vt[1]}if(G.touches[1]){x.touchData.singleTouchMoved=!0,_e(x.dragData.touchDragEles);var Hs=x.findContainerClientCoords();pr=Hs[0],Er=Hs[1],Mr=Hs[2],Cr=Hs[3],Tt=G.touches[0].clientX-pr,_n=G.touches[0].clientY-Er,hn=G.touches[1].clientX-pr,Yt=G.touches[1].clientY-Er,Or=0<=Tt&&Tt<=Mr&&0<=hn&&hn<=Mr&&0<=_n&&_n<=Cr&&0<=Yt&&Yt<=Cr;var wr=Jn.pan(),Es=Jn.zoom();Dn=Wn(Tt,_n,hn,Yt),ir=br(Tt,_n,hn,Yt),vr=[(Tt+hn)/2,(_n+Yt)/2],Nn=[(vr[0]-wr.x)/Es,(vr[1]-wr.y)/Es];var go=200,$c=go*go;if(ir<$c&&!G.touches[2]){var za=x.findNearestElement(kr[0],kr[1],!0,!0),Sc=x.findNearestElement(kr[2],kr[3],!0,!0);za&&za.isNode()?(za.activate().emit({originalEvent:G,type:"cxttapstart",position:{x:kr[0],y:kr[1]}}),x.touchData.start=za):Sc&&Sc.isNode()?(Sc.activate().emit({originalEvent:G,type:"cxttapstart",position:{x:kr[0],y:kr[1]}}),x.touchData.start=Sc):Jn.emit({originalEvent:G,type:"cxttapstart",position:{x:kr[0],y:kr[1]}}),x.touchData.start&&(x.touchData.start._private.grabbed=!1),x.touchData.cxt=!0,x.touchData.cxtDragged=!1,x.data.bgActivePosistion=void 0,x.redraw();return}}if(G.touches[2])Jn.boxSelectionEnabled()&&G.preventDefault();else if(!G.touches[1]){if(G.touches[0]){var ba=x.findNearestElements(kr[0],kr[1],!0,!0),xo=ba[0];if(xo!=null&&(xo.activate(),x.touchData.start=xo,x.touchData.starts=ba,x.nodeIsGrabbable(xo))){var lh=x.dragData.touchDragEles=Jn.collection(),Wl=null;x.redrawHint("eles",!0),x.redrawHint("drag",!0),xo.selected()?(Wl=Jn.$(function(fd){return fd.selected()&&x.nodeIsGrabbable(fd)}),me(Wl,{addToList:lh})):Le(xo,{addToList:lh}),Y(xo);var Z2=function(Wv){return{originalEvent:G,type:Wv,position:{x:kr[0],y:kr[1]}}};xo.emit(Z2("grabon")),Wl?Wl.forEach(function(fd){fd.emit(Z2("grab"))}):xo.emit(Z2("grab"))}S(xo,["touchstart","tapstart","vmousedown"],G,{x:kr[0],y:kr[1]}),xo==null&&(x.data.bgActivePosistion={x:Vt[0],y:Vt[1]},x.redrawHint("select",!0),x.redraw()),x.touchData.singleTouchMoved=!1,x.touchData.singleTouchStartTime=+new Date,clearTimeout(x.touchData.tapholdTimeout),x.touchData.tapholdTimeout=setTimeout(function(){x.touchData.singleTouchMoved===!1&&!x.pinching&&!x.touchData.selecting&&S(x.touchData.start,["taphold"],G,{x:kr[0],y:kr[1]})},x.tapholdDuration)}}if(G.touches.length>=1){for(var eb=x.touchData.startPosition=[null,null,null,null,null,null],G0=0;G0=x.touchTapThreshold2}if(Jn&&x.touchData.cxt){G.preventDefault();var eb=G.touches[0].clientX-pr,G0=G.touches[0].clientY-Er,zp=G.touches[1].clientX-pr,fd=G.touches[1].clientY-Er,Wv=br(eb,G0,zp,fd),sy=Wv/ir,E8=150,x5=E8*E8,T8=1.5,ZS=T8*T8;if(sy>=ZS||Wv>=x5){x.touchData.cxt=!1,x.data.bgActivePosistion=void 0,x.redrawHint("select",!0);var k5={originalEvent:G,type:"cxttapend",position:{x:Vt[0],y:Vt[1]}};x.touchData.start?(x.touchData.start.unactivate().emit(k5),x.touchData.start=null):lr.emit(k5)}}if(Jn&&x.touchData.cxt){var k5={originalEvent:G,type:"cxtdrag",position:{x:Vt[0],y:Vt[1]}};x.data.bgActivePosistion=void 0,x.redrawHint("select",!0),x.touchData.start?x.touchData.start.emit(k5):lr.emit(k5),x.touchData.start&&(x.touchData.start._private.grabbed=!1),x.touchData.cxtDragged=!0;var Qd=x.findNearestElement(Vt[0],Vt[1],!0,!0);(!x.touchData.cxtOver||Qd!==x.touchData.cxtOver)&&(x.touchData.cxtOver&&x.touchData.cxtOver.emit({originalEvent:G,type:"cxtdragout",position:{x:Vt[0],y:Vt[1]}}),x.touchData.cxtOver=Qd,Qd&&Qd.emit({originalEvent:G,type:"cxtdragover",position:{x:Vt[0],y:Vt[1]}}))}else if(Jn&&G.touches[2]&&lr.boxSelectionEnabled())G.preventDefault(),x.data.bgActivePosistion=void 0,this.lastThreeTouch=+new Date,x.touchData.selecting||lr.emit({originalEvent:G,type:"boxstart",position:{x:Vt[0],y:Vt[1]}}),x.touchData.selecting=!0,x.touchData.didSelect=!0,kr[4]=1,!kr||kr.length===0||kr[0]===void 0?(kr[0]=(Vt[0]+Vt[2]+Vt[4])/3,kr[1]=(Vt[1]+Vt[3]+Vt[5])/3,kr[2]=(Vt[0]+Vt[2]+Vt[4])/3+1,kr[3]=(Vt[1]+Vt[3]+Vt[5])/3+1):(kr[2]=(Vt[0]+Vt[2]+Vt[4])/3,kr[3]=(Vt[1]+Vt[3]+Vt[5])/3),x.redrawHint("select",!0),x.redraw();else if(Jn&&G.touches[1]&&!x.touchData.didSelect&&lr.zoomingEnabled()&&lr.panningEnabled()&&lr.userZoomingEnabled()&&lr.userPanningEnabled()){G.preventDefault(),x.data.bgActivePosistion=void 0,x.redrawHint("select",!0);var _1=x.dragData.touchDragEles;if(_1){x.redrawHint("drag",!0);for(var Jd=0;Jd<_1.length;Jd++){var Yv=_1[Jd]._private;Yv.grabbed=!1,Yv.rscratch.inDragLayer=!1}}var Em=x.touchData.start,eb=G.touches[0].clientX-pr,G0=G.touches[0].clientY-Er,zp=G.touches[1].clientX-pr,fd=G.touches[1].clientY-Er,Lz=Wn(eb,G0,zp,fd),Lie=Lz/Dn;if(Or){var Mie=eb-Tt,e_=G0-_n,Die=zp-hn,Iie=fd-Yt,E5=(Mie+Die)/2,Mz=(e_+Iie)/2,yk=lr.zoom(),UI=yk*Lie,t_=lr.pan(),Dz=Nn[0]*yk+t_.x,Iz=Nn[1]*yk+t_.y,Oie={x:-UI/yk*(Dz-t_.x-E5)+Dz,y:-UI/yk*(Iz-t_.y-Mz)+Iz};if(Em&&Em.active()){var _1=x.dragData.touchDragEles;_e(_1),x.redrawHint("drag",!0),x.redrawHint("eles",!0),Em.unactivate().emit("freeon"),_1.emit("free"),x.dragData.didDrag&&(Em.emit("dragfreeon"),_1.emit("dragfree"))}lr.viewport({zoom:UI,pan:Oie,cancelOnFailedZoom:!0}),lr.emit("pinchzoom"),Dn=Lz,Tt=eb,_n=G0,hn=zp,Yt=fd,x.pinching=!0}if(G.touches[0]){var Es=x.projectIntoViewport(G.touches[0].clientX,G.touches[0].clientY);Vt[0]=Es[0],Vt[1]=Es[1]}if(G.touches[1]){var Es=x.projectIntoViewport(G.touches[1].clientX,G.touches[1].clientY);Vt[2]=Es[0],Vt[3]=Es[1]}if(G.touches[2]){var Es=x.projectIntoViewport(G.touches[2].clientX,G.touches[2].clientY);Vt[4]=Es[0],Vt[5]=Es[1]}}else if(G.touches[0]&&!x.touchData.didSelect){var qp=x.touchData.start,n_=x.touchData.last,Qd;if(!x.hoverData.draggingEles&&!x.swipePanning&&(Qd=x.findNearestElement(Vt[0],Vt[1],!0,!0)),Jn&&qp!=null&&G.preventDefault(),Jn&&qp!=null&&x.nodeIsDraggable(qp))if($c){var _1=x.dragData.touchDragEles,GI=!x.dragData.didDrag;GI&&me(_1,{inDragLayer:!0}),x.dragData.didDrag=!0;var Tm={x:0,y:0};if(X(za[0])&&X(za[1])&&(Tm.x+=za[0],Tm.y+=za[1],GI)){x.redrawHint("eles",!0);var Zd=x.touchData.dragDelta;Zd&&X(Zd[0])&&X(Zd[1])&&(Tm.x+=Zd[0],Tm.y+=Zd[1])}x.hoverData.draggingEles=!0,_1.silentShift(Tm).emit("position drag"),x.redrawHint("drag",!0),x.touchData.startPosition[0]==Hs[0]&&x.touchData.startPosition[1]==Hs[1]&&x.redrawHint("eles",!0),x.redraw()}else{var Zd=x.touchData.dragDelta=x.touchData.dragDelta||[];Zd.length===0?(Zd.push(za[0]),Zd.push(za[1])):(Zd[0]+=za[0],Zd[1]+=za[1])}if(S(qp||Qd,["touchmove","tapdrag","vmousemove"],G,{x:Vt[0],y:Vt[1]}),(!qp||!qp.grabbed())&&Qd!=n_&&(n_&&n_.emit({originalEvent:G,type:"tapdragout",position:{x:Vt[0],y:Vt[1]}}),Qd&&Qd.emit({originalEvent:G,type:"tapdragover",position:{x:Vt[0],y:Vt[1]}})),x.touchData.last=Qd,Jn)for(var Jd=0;Jd0&&!x.hoverData.draggingEles&&!x.swipePanning&&x.data.bgActivePosistion!=null&&(x.data.bgActivePosistion=void 0,x.redrawHint("select",!0),x.redraw())}},!1);var Si;x.registerBinding(m,"touchcancel",Si=function(G){var Jn=x.touchData.start;x.touchData.capture=!1,Jn&&Jn.unactivate()});var ys,pa,Mi,gi;if(x.registerBinding(m,"touchend",ys=function(G){var Jn=x.touchData.start,kr=x.touchData.capture;if(kr)G.touches.length===0&&(x.touchData.capture=!1),G.preventDefault();else return;var lr=x.selection;x.swipePanning=!1,x.hoverData.draggingEles=!1;var Vt=x.cy,Hs=Vt.zoom(),wr=x.touchData.now,Es=x.touchData.earlier;if(G.touches[0]){var go=x.projectIntoViewport(G.touches[0].clientX,G.touches[0].clientY);wr[0]=go[0],wr[1]=go[1]}if(G.touches[1]){var go=x.projectIntoViewport(G.touches[1].clientX,G.touches[1].clientY);wr[2]=go[0],wr[3]=go[1]}if(G.touches[2]){var go=x.projectIntoViewport(G.touches[2].clientX,G.touches[2].clientY);wr[4]=go[0],wr[5]=go[1]}Jn&&Jn.unactivate();var $c;if(x.touchData.cxt){if($c={originalEvent:G,type:"cxttapend",position:{x:wr[0],y:wr[1]}},Jn?Jn.emit($c):Vt.emit($c),!x.touchData.cxtDragged){var za={originalEvent:G,type:"cxttap",position:{x:wr[0],y:wr[1]}};Jn?Jn.emit(za):Vt.emit(za)}x.touchData.start&&(x.touchData.start._private.grabbed=!1),x.touchData.cxt=!1,x.touchData.start=null,x.redraw();return}if(!G.touches[2]&&Vt.boxSelectionEnabled()&&x.touchData.selecting){x.touchData.selecting=!1;var Sc=Vt.collection(x.getAllInBox(lr[0],lr[1],lr[2],lr[3]));lr[0]=void 0,lr[1]=void 0,lr[2]=void 0,lr[3]=void 0,lr[4]=0,x.redrawHint("select",!0),Vt.emit({type:"boxend",originalEvent:G,position:{x:wr[0],y:wr[1]}});var ba=function(x5){return x5.selectable()&&!x5.selected()};Sc.emit("box").stdFilter(ba).select().emit("boxselect"),Sc.nonempty()&&x.redrawHint("eles",!0),x.redraw()}if(Jn!=null&&Jn.unactivate(),G.touches[2])x.data.bgActivePosistion=void 0,x.redrawHint("select",!0);else if(!G.touches[1]){if(!G.touches[0]){if(!G.touches[0]){x.data.bgActivePosistion=void 0,x.redrawHint("select",!0);var xo=x.dragData.touchDragEles;if(Jn!=null){var lh=Jn._private.grabbed;_e(xo),x.redrawHint("drag",!0),x.redrawHint("eles",!0),lh&&(Jn.emit("freeon"),xo.emit("free"),x.dragData.didDrag&&(Jn.emit("dragfreeon"),xo.emit("dragfree"))),S(Jn,["touchend","tapend","vmouseup","tapdragout"],G,{x:wr[0],y:wr[1]}),Jn.unactivate(),x.touchData.start=null}else{var Wl=x.findNearestElement(wr[0],wr[1],!0,!0);S(Wl,["touchend","tapend","vmouseup","tapdragout"],G,{x:wr[0],y:wr[1]})}var 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Le=m.pan(),_e={x:Le.x*q,y:Le.y*q};q*=m.zoom(),ve.translate(_e.x,_e.y),ve.scale(q,q),this.drawElements(ve,me),ve.scale(1/q,1/q),ve.translate(-_e.x,-_e.y)}x.bg&&(ve.globalCompositeOperation="destination-over",ve.fillStyle=x.bg,ve.rect(0,0,O,N),ve.fill())}return ce};function kie(x,m){for(var k=atob(x),S=new ArrayBuffer(k.length),M=new Uint8Array(S),O=0;O"u"?"undefined":u(OffscreenCanvas))!=="undefined"?k=new OffscreenCanvas(x,m):(k=document.createElement("canvas"),k.width=x,k.height=m),k},[pz,Q2,J2,bk,y5,w8,qg,iy,mk,Cz].forEach(function(x){yt(jc,x)});var $p=[{name:"null",impl:W$},{name:"base",impl:az},{name:"canvas",impl:Sz}],Eie=[{type:"layout",extensions:qre},{type:"renderer",extensions:$p}],Tie={},Cie={};function Sie(x,m,k){var S=k,M=function(mt){hu("Can not register `"+m+"` for `"+x+"` since `"+mt+"` already exists in the prototype and can not be overridden")};if(x==="core"){if(lk.prototype[m])return M(m);lk.prototype[m]=k}else if(x==="collection"){if(V0.prototype[m])return M(m);V0.prototype[m]=k}else if(x==="layout"){for(var O=function(mt){this.options=mt,k.call(this,mt),se(this._private)||(this._private={}),this._private.cy=mt.cy,this._private.listeners=[],this.createEmitter()},N=O.prototype=Object.create(k.prototype),$=[],H=0;H<$.length;H++){var q=$[H];N[q]=N[q]||function(){return this}}N.start&&!N.run?N.run=function(){return this.start(),this}:!N.start&&N.run&&(N.start=function(){return this.run(),this});var Y=k.prototype.stop;N.stop=function(){var Ye=this.options;if(Ye&&Ye.animate){var mt=this.animations;if(mt)for(var Je=0;Jej&&(this.rect.x-=(this.labelWidth-j)/2,this.setWidth(this.labelWidth)),this.labelHeight>K&&(this.labelPos=="center"?this.rect.y-=(this.labelHeight-K)/2:this.labelPos=="top"&&(this.rect.y-=this.labelHeight-K),this.setHeight(this.labelHeight))}}},P.prototype.getInclusionTreeDepth=function(){if(this.inclusionTreeDepth==b.MAX_VALUE)throw"assert failed";return this.inclusionTreeDepth},P.prototype.transform=function(F){var j=this.rect.x;j>T.WORLD_BOUNDARY?j=T.WORLD_BOUNDARY:j<-T.WORLD_BOUNDARY&&(j=-T.WORLD_BOUNDARY);var K=this.rect.y;K>T.WORLD_BOUNDARY?K=T.WORLD_BOUNDARY:K<-T.WORLD_BOUNDARY&&(K=-T.WORLD_BOUNDARY);var ee=new A(j,K),ie=F.inverseTransformPoint(ee);this.setLocation(ie.x,ie.y)},P.prototype.getLeft=function(){return this.rect.x},P.prototype.getRight=function(){return this.rect.x+this.rect.width},P.prototype.getTop=function(){return this.rect.y},P.prototype.getBottom=function(){return this.rect.y+this.rect.height},P.prototype.getParent=function(){return this.owner==null?null:this.owner.getParent()},u.exports=P},function(u,d,p){function v(b,y){b==null&&y==null?(this.x=0,this.y=0):(this.x=b,this.y=y)}v.prototype.getX=function(){return this.x},v.prototype.getY=function(){return this.y},v.prototype.setX=function(b){this.x=b},v.prototype.setY=function(b){this.y=b},v.prototype.getDifference=function(b){return new DimensionD(this.x-b.x,this.y-b.y)},v.prototype.getCopy=function(){return new v(this.x,this.y)},v.prototype.translate=function(b){return this.x+=b.width,this.y+=b.height,this},u.exports=v},function(u,d,p){var v=p(2),b=p(10),y=p(0),T=p(6),_=p(3),A=p(1),P=p(13),R=p(12),F=p(11);function j(ee,ie,oe){v.call(this,oe),this.estimatedSize=b.MIN_VALUE,this.margin=y.DEFAULT_GRAPH_MARGIN,this.edges=[],this.nodes=[],this.isConnected=!1,this.parent=ee,ie!=null&&ie instanceof T?this.graphManager=ie:ie!=null&&ie instanceof Layout&&(this.graphManager=ie.graphManager)}j.prototype=Object.create(v.prototype);for(var K in v)j[K]=v[K];j.prototype.getNodes=function(){return this.nodes},j.prototype.getEdges=function(){return this.edges},j.prototype.getGraphManager=function(){return this.graphManager},j.prototype.getParent=function(){return this.parent},j.prototype.getLeft=function(){return this.left},j.prototype.getRight=function(){return this.right},j.prototype.getTop=function(){return this.top},j.prototype.getBottom=function(){return this.bottom},j.prototype.isConnected=function(){return this.isConnected},j.prototype.add=function(ee,ie,oe){if(ie==null&&oe==null){var pe=ee;if(this.graphManager==null)throw"Graph has no graph mgr!";if(this.getNodes().indexOf(pe)>-1)throw"Node already in graph!";return pe.owner=this,this.getNodes().push(pe),pe}else{var be=ee;if(!(this.getNodes().indexOf(ie)>-1&&this.getNodes().indexOf(oe)>-1))throw"Source or target not in graph!";if(!(ie.owner==oe.owner&&ie.owner==this))throw"Both owners must be this graph!";return ie.owner!=oe.owner?null:(be.source=ie,be.target=oe,be.isInterGraph=!1,this.getEdges().push(be),ie.edges.push(be),oe!=ie&&oe.edges.push(be),be)}},j.prototype.remove=function(ee){var ie=ee;if(ee instanceof _){if(ie==null)throw"Node is null!";if(!(ie.owner!=null&&ie.owner==this))throw"Owner graph is invalid!";if(this.graphManager==null)throw"Owner graph manager is invalid!";for(var oe=ie.edges.slice(),pe,be=oe.length,ae=0;ae-1&&de>-1))throw"Source and/or target doesn't know this edge!";pe.source.edges.splice(se,1),pe.target!=pe.source&&pe.target.edges.splice(de,1);var ne=pe.source.owner.getEdges().indexOf(pe);if(ne==-1)throw"Not in owner's edge list!";pe.source.owner.getEdges().splice(ne,1)}},j.prototype.updateLeftTop=function(){for(var ee=b.MAX_VALUE,ie=b.MAX_VALUE,oe,pe,be,ae=this.getNodes(),ne=ae.length,se=0;seoe&&(ee=oe),ie>pe&&(ie=pe)}return ee==b.MAX_VALUE?null:(ae[0].getParent().paddingLeft!=null?be=ae[0].getParent().paddingLeft:be=this.margin,this.left=ie-be,this.top=ee-be,new R(this.left,this.top))},j.prototype.updateBounds=function(ee){for(var ie=b.MAX_VALUE,oe=-b.MAX_VALUE,pe=b.MAX_VALUE,be=-b.MAX_VALUE,ae,ne,se,de,X,ge=this.nodes,W=ge.length,xe=0;xeae&&(ie=ae),oese&&(pe=se),beae&&(ie=ae),oese&&(pe=se),be=this.nodes.length){var W=0;oe.forEach(function(xe){xe.owner==ee&&W++}),W==this.nodes.length&&(this.isConnected=!0)}},u.exports=j},function(u,d,p){var v,b=p(1);function y(T){v=p(5),this.layout=T,this.graphs=[],this.edges=[]}y.prototype.addRoot=function(){var T=this.layout.newGraph(),_=this.layout.newNode(null),A=this.add(T,_);return this.setRootGraph(A),this.rootGraph},y.prototype.add=function(T,_,A,P,R){if(A==null&&P==null&&R==null){if(T==null)throw"Graph is null!";if(_==null)throw"Parent node is null!";if(this.graphs.indexOf(T)>-1)throw"Graph already in this graph mgr!";if(this.graphs.push(T),T.parent!=null)throw"Already has a parent!";if(_.child!=null)throw"Already has a child!";return T.parent=_,_.child=T,T}else{R=A,P=_,A=T;var F=P.getOwner(),j=R.getOwner();if(!(F!=null&&F.getGraphManager()==this))throw"Source not in this graph mgr!";if(!(j!=null&&j.getGraphManager()==this))throw"Target not in this graph mgr!";if(F==j)return A.isInterGraph=!1,F.add(A,P,R);if(A.isInterGraph=!0,A.source=P,A.target=R,this.edges.indexOf(A)>-1)throw"Edge already in inter-graph edge list!";if(this.edges.push(A),!(A.source!=null&&A.target!=null))throw"Edge source and/or target is null!";if(!(A.source.edges.indexOf(A)==-1&&A.target.edges.indexOf(A)==-1))throw"Edge already in source and/or target incidency list!";return A.source.edges.push(A),A.target.edges.push(A),A}},y.prototype.remove=function(T){if(T instanceof v){var _=T;if(_.getGraphManager()!=this)throw"Graph not in this graph mgr";if(!(_==this.rootGraph||_.parent!=null&&_.parent.graphManager==this))throw"Invalid parent node!";var A=[];A=A.concat(_.getEdges());for(var P,R=A.length,F=0;F=T.getRight()?_[0]+=Math.min(T.getX()-y.getX(),y.getRight()-T.getRight()):T.getX()<=y.getX()&&T.getRight()>=y.getRight()&&(_[0]+=Math.min(y.getX()-T.getX(),T.getRight()-y.getRight())),y.getY()<=T.getY()&&y.getBottom()>=T.getBottom()?_[1]+=Math.min(T.getY()-y.getY(),y.getBottom()-T.getBottom()):T.getY()<=y.getY()&&T.getBottom()>=y.getBottom()&&(_[1]+=Math.min(y.getY()-T.getY(),T.getBottom()-y.getBottom()));var R=Math.abs((T.getCenterY()-y.getCenterY())/(T.getCenterX()-y.getCenterX()));T.getCenterY()===y.getCenterY()&&T.getCenterX()===y.getCenterX()&&(R=1);var F=R*_[0],j=_[1]/R;_[0]F)return _[0]=A,_[1]=K,_[2]=R,_[3]=ge,!1;if(PR)return _[0]=j,_[1]=P,_[2]=de,_[3]=F,!1;if(AR?(_[0]=ie,_[1]=oe,Fe=!0):(_[0]=ee,_[1]=K,Fe=!0):je===Se&&(A>R?(_[0]=j,_[1]=K,Fe=!0):(_[0]=pe,_[1]=oe,Fe=!0)),-Ie===Se?R>A?(_[2]=X,_[3]=ge,Pe=!0):(_[2]=de,_[3]=se,Pe=!0):Ie===Se&&(R>A?(_[2]=ne,_[3]=se,Pe=!0):(_[2]=W,_[3]=ge,Pe=!0)),Fe&&Pe)return!1;if(A>R?P>F?(Ce=this.getCardinalDirection(je,Se,4),ke=this.getCardinalDirection(Ie,Se,2)):(Ce=this.getCardinalDirection(-je,Se,3),ke=this.getCardinalDirection(-Ie,Se,1)):P>F?(Ce=this.getCardinalDirection(-je,Se,1),ke=this.getCardinalDirection(-Ie,Se,3)):(Ce=this.getCardinalDirection(je,Se,2),ke=this.getCardinalDirection(Ie,Se,4)),!Fe)switch(Ce){case 1:Ft=K,Ke=A+-ae/Se,_[0]=Ke,_[1]=Ft;break;case 2:Ke=pe,Ft=P+be*Se,_[0]=Ke,_[1]=Ft;break;case 3:Ft=oe,Ke=A+ae/Se,_[0]=Ke,_[1]=Ft;break;case 4:Ke=ie,Ft=P+-be*Se,_[0]=Ke,_[1]=Ft;break}if(!Pe)switch(ke){case 1:gn=se,Ne=R+-U/Se,_[2]=Ne,_[3]=gn;break;case 2:Ne=W,gn=F+xe*Se,_[2]=Ne,_[3]=gn;break;case 3:gn=ge,Ne=R+U/Se,_[2]=Ne,_[3]=gn;break;case 4:Ne=X,gn=F+-xe*Se,_[2]=Ne,_[3]=gn;break}}return!1},b.getCardinalDirection=function(y,T,_){return y>T?_:1+_%4},b.getIntersection=function(y,T,_,A){if(A==null)return this.getIntersection2(y,T,_);var P=y.x,R=y.y,F=T.x,j=T.y,K=_.x,ee=_.y,ie=A.x,oe=A.y,pe=void 0,be=void 0,ae=void 0,ne=void 0,se=void 0,de=void 0,X=void 0,ge=void 0,W=void 0;return ae=j-R,se=P-F,X=F*R-P*j,ne=oe-ee,de=K-ie,ge=ie*ee-K*oe,W=ae*de-ne*se,W===0?null:(pe=(se*ge-de*X)/W,be=(ne*X-ae*ge)/W,new v(pe,be))},b.angleOfVector=function(y,T,_,A){var P=void 0;return y!==_?(P=Math.atan((A-T)/(_-y)),_0?1:b<0?-1:0},v.floor=function(b){return b<0?Math.ceil(b):Math.floor(b)},v.ceil=function(b){return b<0?Math.floor(b):Math.ceil(b)},u.exports=v},function(u,d,p){function v(){}v.MAX_VALUE=2147483647,v.MIN_VALUE=-2147483648,u.exports=v},function(u,d,p){var v=function(){function P(R,F){for(var j=0;j"u"?"undefined":v(y);return y==null||T!="object"&&T!="function"},u.exports=b},function(u,d,p){function v(K){if(Array.isArray(K)){for(var ee=0,ie=Array(K.length);ee0&ⅇ){for(ae.push(se[0]);ae.length>0&ⅇ){var de=ae[0];ae.splice(0,1),be.add(de);for(var X=de.getEdges(),pe=0;pe-1&&se.splice(U,1)}be=new Set,ne=new Map}}return K},j.prototype.createDummyNodesForBendpoints=function(K){for(var ee=[],ie=K.source,oe=this.graphManager.calcLowestCommonAncestor(K.source,K.target),pe=0;pe0){for(var oe=this.edgeToDummyNodes.get(ie),pe=0;pe=0&&ee.splice(ge,1);var W=ne.getNeighborsList();W.forEach(function(Fe){if(ie.indexOf(Fe)<0){var Pe=oe.get(Fe),je=Pe-1;je==1&&de.push(Fe),oe.set(Fe,je)}})}ie=ie.concat(de),(ee.length==1||ee.length==2)&&(pe=!0,be=ee[0])}return be},j.prototype.setGraphManager=function(K){this.graphManager=K},u.exports=j},function(u,d,p){function v(){}v.seed=1,v.x=0,v.nextDouble=function(){return v.x=Math.sin(v.seed++)*1e4,v.x-Math.floor(v.x)},u.exports=v},function(u,d,p){var v=p(4);function b(y,T){this.lworldOrgX=0,this.lworldOrgY=0,this.ldeviceOrgX=0,this.ldeviceOrgY=0,this.lworldExtX=1,this.lworldExtY=1,this.ldeviceExtX=1,this.ldeviceExtY=1}b.prototype.getWorldOrgX=function(){return this.lworldOrgX},b.prototype.setWorldOrgX=function(y){this.lworldOrgX=y},b.prototype.getWorldOrgY=function(){return this.lworldOrgY},b.prototype.setWorldOrgY=function(y){this.lworldOrgY=y},b.prototype.getWorldExtX=function(){return this.lworldExtX},b.prototype.setWorldExtX=function(y){this.lworldExtX=y},b.prototype.getWorldExtY=function(){return this.lworldExtY},b.prototype.setWorldExtY=function(y){this.lworldExtY=y},b.prototype.getDeviceOrgX=function(){return this.ldeviceOrgX},b.prototype.setDeviceOrgX=function(y){this.ldeviceOrgX=y},b.prototype.getDeviceOrgY=function(){return this.ldeviceOrgY},b.prototype.setDeviceOrgY=function(y){this.ldeviceOrgY=y},b.prototype.getDeviceExtX=function(){return this.ldeviceExtX},b.prototype.setDeviceExtX=function(y){this.ldeviceExtX=y},b.prototype.getDeviceExtY=function(){return this.ldeviceExtY},b.prototype.setDeviceExtY=function(y){this.ldeviceExtY=y},b.prototype.transformX=function(y){var T=0,_=this.lworldExtX;return _!=0&&(T=this.ldeviceOrgX+(y-this.lworldOrgX)*this.ldeviceExtX/_),T},b.prototype.transformY=function(y){var T=0,_=this.lworldExtY;return _!=0&&(T=this.ldeviceOrgY+(y-this.lworldOrgY)*this.ldeviceExtY/_),T},b.prototype.inverseTransformX=function(y){var T=0,_=this.ldeviceExtX;return _!=0&&(T=this.lworldOrgX+(y-this.ldeviceOrgX)*this.lworldExtX/_),T},b.prototype.inverseTransformY=function(y){var T=0,_=this.ldeviceExtY;return _!=0&&(T=this.lworldOrgY+(y-this.ldeviceOrgY)*this.lworldExtY/_),T},b.prototype.inverseTransformPoint=function(y){var T=new v(this.inverseTransformX(y.x),this.inverseTransformY(y.y));return T},u.exports=b},function(u,d,p){function v(F){if(Array.isArray(F)){for(var j=0,K=Array(F.length);jy.ADAPTATION_LOWER_NODE_LIMIT&&(this.coolingFactor=Math.max(this.coolingFactor*y.COOLING_ADAPTATION_FACTOR,this.coolingFactor-(F-y.ADAPTATION_LOWER_NODE_LIMIT)/(y.ADAPTATION_UPPER_NODE_LIMIT-y.ADAPTATION_LOWER_NODE_LIMIT)*this.coolingFactor*(1-y.COOLING_ADAPTATION_FACTOR))),this.maxNodeDisplacement=y.MAX_NODE_DISPLACEMENT_INCREMENTAL):(F>y.ADAPTATION_LOWER_NODE_LIMIT?this.coolingFactor=Math.max(y.COOLING_ADAPTATION_FACTOR,1-(F-y.ADAPTATION_LOWER_NODE_LIMIT)/(y.ADAPTATION_UPPER_NODE_LIMIT-y.ADAPTATION_LOWER_NODE_LIMIT)*(1-y.COOLING_ADAPTATION_FACTOR)):this.coolingFactor=1,this.initialCoolingFactor=this.coolingFactor,this.maxNodeDisplacement=y.MAX_NODE_DISPLACEMENT),this.maxIterations=Math.max(this.getAllNodes().length*5,this.maxIterations),this.totalDisplacementThreshold=this.displacementThresholdPerNode*this.getAllNodes().length,this.repulsionRange=this.calcRepulsionRange()},P.prototype.calcSpringForces=function(){for(var F=this.getAllEdges(),j,K=0;K0&&arguments[0]!==void 0?arguments[0]:!0,j=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1,K,ee,ie,oe,pe=this.getAllNodes(),be;if(this.useFRGridVariant)for(this.totalIterations%y.GRID_CALCULATION_CHECK_PERIOD==1&&F&&this.updateGrid(),be=new Set,K=0;Kae||be>ae)&&(F.gravitationForceX=-this.gravityConstant*ie,F.gravitationForceY=-this.gravityConstant*oe)):(ae=j.getEstimatedSize()*this.compoundGravityRangeFactor,(pe>ae||be>ae)&&(F.gravitationForceX=-this.gravityConstant*ie*this.compoundGravityConstant,F.gravitationForceY=-this.gravityConstant*oe*this.compoundGravityConstant))},P.prototype.isConverged=function(){var F,j=!1;return this.totalIterations>this.maxIterations/3&&(j=Math.abs(this.totalDisplacement-this.oldTotalDisplacement)<2),F=this.totalDisplacement=pe.length||ae>=pe[0].length)){for(var ne=0;neP}}]),_}();u.exports=T},function(u,d,p){var v=function(){function T(_,A){for(var P=0;P2&&arguments[2]!==void 0?arguments[2]:1,R=arguments.length>3&&arguments[3]!==void 0?arguments[3]:-1,F=arguments.length>4&&arguments[4]!==void 0?arguments[4]:-1;b(this,T),this.sequence1=_,this.sequence2=A,this.match_score=P,this.mismatch_penalty=R,this.gap_penalty=F,this.iMax=_.length+1,this.jMax=A.length+1,this.grid=new Array(this.iMax);for(var j=0;j=0;_--){var A=this.listeners[_];A.event===y&&A.callback===T&&this.listeners.splice(_,1)}},b.emit=function(y,T){for(var _=0;_A.coolingFactor*A.maxNodeDisplacement&&(this.displacementX=A.coolingFactor*A.maxNodeDisplacement*y.sign(this.displacementX)),Math.abs(this.displacementY)>A.coolingFactor*A.maxNodeDisplacement&&(this.displacementY=A.coolingFactor*A.maxNodeDisplacement*y.sign(this.displacementY)),this.child==null?this.moveBy(this.displacementX,this.displacementY):this.child.getNodes().length==0?this.moveBy(this.displacementX,this.displacementY):this.propogateDisplacementToChildren(this.displacementX,this.displacementY),A.totalDisplacement+=Math.abs(this.displacementX)+Math.abs(this.displacementY),this.springForceX=0,this.springForceY=0,this.repulsionForceX=0,this.repulsionForceY=0,this.gravitationForceX=0,this.gravitationForceY=0,this.displacementX=0,this.displacementY=0},T.prototype.propogateDisplacementToChildren=function(A,P){for(var R=this.getChild().getNodes(),F,j=0;j0)this.positionNodesRadially(se);else{this.reduceTrees(),this.graphManager.resetAllNodesToApplyGravitation();var de=new Set(this.getAllNodes()),X=this.nodesWithGravity.filter(function(ge){return de.has(ge)});this.graphManager.setAllNodesToApplyGravitation(X),this.positionNodesRandomly()}}return this.initSpringEmbedder(),this.runSpringEmbedder(),!0},ae.prototype.tick=function(){if(this.totalIterations++,this.totalIterations===this.maxIterations&&!this.isTreeGrowing&&!this.isGrowthFinished)if(this.prunedNodesAll.length>0)this.isTreeGrowing=!0;else return!0;if(this.totalIterations%R.CONVERGENCE_CHECK_PERIOD==0&&!this.isTreeGrowing&&!this.isGrowthFinished){if(this.isConverged())if(this.prunedNodesAll.length>0)this.isTreeGrowing=!0;else return!0;this.coolingCycle++,this.layoutQuality==0?this.coolingAdjuster=this.coolingCycle:this.layoutQuality==1&&(this.coolingAdjuster=this.coolingCycle/3),this.coolingFactor=Math.max(this.initialCoolingFactor-Math.pow(this.coolingCycle,Math.log(100*(this.initialCoolingFactor-this.finalTemperature))/Math.log(this.maxCoolingCycle))/100*this.coolingAdjuster,this.finalTemperature),this.animationPeriod=Math.ceil(this.initialAnimationPeriod*Math.sqrt(this.coolingFactor))}if(this.isTreeGrowing){if(this.growTreeIterations%10==0)if(this.prunedNodesAll.length>0){this.graphManager.updateBounds(),this.updateGrid(),this.growTree(this.prunedNodesAll),this.graphManager.resetAllNodesToApplyGravitation();var se=new Set(this.getAllNodes()),de=this.nodesWithGravity.filter(function(W){return se.has(W)});this.graphManager.setAllNodesToApplyGravitation(de),this.graphManager.updateBounds(),this.updateGrid(),this.coolingFactor=R.DEFAULT_COOLING_FACTOR_INCREMENTAL}else 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Unrecognized text. +`+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var ae=this.next();return ae||this.lex()},begin:function(ae){this.conditionStack.push(ae)},popState:function(){var ae=this.conditionStack.length-1;return ae>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(ae){return ae=this.conditionStack.length-1-Math.abs(ae||0),ae>=0?this.conditionStack[ae]:"INITIAL"},pushState:function(ae){this.begin(ae)},stateStackSize:function(){return this.conditionStack.length},options:{},performAction:function(ae,ne,se,de){switch(se){case 0:return 10;case 1:return ae.getLogger().debug("Found space-block"),31;case 2:return ae.getLogger().debug("Found nl-block"),31;case 3:return ae.getLogger().debug("Found space-block"),29;case 4:ae.getLogger().debug(".",ne.yytext);break;case 5:ae.getLogger().debug("_",ne.yytext);break;case 6:return 5;case 7:return ne.yytext=-1,28;case 8:return ne.yytext=ne.yytext.replace(/columns\s+/,""),ae.getLogger().debug("COLUMNS (LEX)",ne.yytext),28;case 9:this.pushState("md_string");break;case 10:return"MD_STR";case 11:this.popState();break;case 12:this.pushState("string");break;case 13:ae.getLogger().debug("LEX: POPPING STR:",ne.yytext),this.popState();break;case 14:return ae.getLogger().debug("LEX: STR end:",ne.yytext),"STR";case 15:return ne.yytext=ne.yytext.replace(/space\:/,""),ae.getLogger().debug("SPACE NUM (LEX)",ne.yytext),21;case 16:return ne.yytext="1",ae.getLogger().debug("COLUMNS (LEX)",ne.yytext),21;case 17:return 43;case 18:return"LINKSTYLE";case 19:return"INTERPOLATE";case 20:return this.pushState("CLASSDEF"),40;case 21:return this.popState(),this.pushState("CLASSDEFID"),"DEFAULT_CLASSDEF_ID";case 22:return this.popState(),this.pushState("CLASSDEFID"),41;case 23:return this.popState(),42;case 24:return this.pushState("CLASS"),44;case 25:return this.popState(),this.pushState("CLASS_STYLE"),45;case 26:return this.popState(),46;case 27:return this.pushState("STYLE_STMNT"),47;case 28:return this.popState(),this.pushState("STYLE_DEFINITION"),48;case 29:return this.popState(),49;case 30:return this.pushState("acc_title"),"acc_title";case 31:return this.popState(),"acc_title_value";case 32:return this.pushState("acc_descr"),"acc_descr";case 33:return this.popState(),"acc_descr_value";case 34:this.pushState("acc_descr_multiline");break;case 35:this.popState();break;case 36:return"acc_descr_multiline_value";case 37:return 30;case 38:return this.popState(),ae.getLogger().debug("Lex: (("),"NODE_DEND";case 39:return this.popState(),ae.getLogger().debug("Lex: (("),"NODE_DEND";case 40:return this.popState(),ae.getLogger().debug("Lex: ))"),"NODE_DEND";case 41:return this.popState(),ae.getLogger().debug("Lex: (("),"NODE_DEND";case 42:return this.popState(),ae.getLogger().debug("Lex: (("),"NODE_DEND";case 43:return this.popState(),ae.getLogger().debug("Lex: (-"),"NODE_DEND";case 44:return this.popState(),ae.getLogger().debug("Lex: -)"),"NODE_DEND";case 45:return this.popState(),ae.getLogger().debug("Lex: (("),"NODE_DEND";case 46:return this.popState(),ae.getLogger().debug("Lex: ]]"),"NODE_DEND";case 47:return this.popState(),ae.getLogger().debug("Lex: ("),"NODE_DEND";case 48:return this.popState(),ae.getLogger().debug("Lex: ])"),"NODE_DEND";case 49:return this.popState(),ae.getLogger().debug("Lex: /]"),"NODE_DEND";case 50:return this.popState(),ae.getLogger().debug("Lex: /]"),"NODE_DEND";case 51:return this.popState(),ae.getLogger().debug("Lex: )]"),"NODE_DEND";case 52:return this.popState(),ae.getLogger().debug("Lex: )"),"NODE_DEND";case 53:return this.popState(),ae.getLogger().debug("Lex: ]>"),"NODE_DEND";case 54:return this.popState(),ae.getLogger().debug("Lex: ]"),"NODE_DEND";case 55:return ae.getLogger().debug("Lexa: -)"),this.pushState("NODE"),36;case 56:return ae.getLogger().debug("Lexa: (-"),this.pushState("NODE"),36;case 57:return ae.getLogger().debug("Lexa: ))"),this.pushState("NODE"),36;case 58:return ae.getLogger().debug("Lexa: )"),this.pushState("NODE"),36;case 59:return ae.getLogger().debug("Lex: ((("),this.pushState("NODE"),36;case 60:return ae.getLogger().debug("Lexa: )"),this.pushState("NODE"),36;case 61:return ae.getLogger().debug("Lexa: )"),this.pushState("NODE"),36;case 62:return ae.getLogger().debug("Lexa: )"),this.pushState("NODE"),36;case 63:return ae.getLogger().debug("Lexc: >"),this.pushState("NODE"),36;case 64:return ae.getLogger().debug("Lexa: (["),this.pushState("NODE"),36;case 65:return ae.getLogger().debug("Lexa: )"),this.pushState("NODE"),36;case 66:return this.pushState("NODE"),36;case 67:return this.pushState("NODE"),36;case 68:return this.pushState("NODE"),36;case 69:return this.pushState("NODE"),36;case 70:return this.pushState("NODE"),36;case 71:return this.pushState("NODE"),36;case 72:return this.pushState("NODE"),36;case 73:return ae.getLogger().debug("Lexa: ["),this.pushState("NODE"),36;case 74:return this.pushState("BLOCK_ARROW"),ae.getLogger().debug("LEX ARR START"),38;case 75:return ae.getLogger().debug("Lex: NODE_ID",ne.yytext),32;case 76:return ae.getLogger().debug("Lex: EOF",ne.yytext),8;case 77:this.pushState("md_string");break;case 78:this.pushState("md_string");break;case 79:return"NODE_DESCR";case 80:this.popState();break;case 81:ae.getLogger().debug("Lex: Starting string"),this.pushState("string");break;case 82:ae.getLogger().debug("LEX ARR: Starting string"),this.pushState("string");break;case 83:return ae.getLogger().debug("LEX: NODE_DESCR:",ne.yytext),"NODE_DESCR";case 84:ae.getLogger().debug("LEX POPPING"),this.popState();break;case 85:ae.getLogger().debug("Lex: =>BAE"),this.pushState("ARROW_DIR");break;case 86:return ne.yytext=ne.yytext.replace(/^,\s*/,""),ae.getLogger().debug("Lex (right): dir:",ne.yytext),"DIR";case 87:return ne.yytext=ne.yytext.replace(/^,\s*/,""),ae.getLogger().debug("Lex (left):",ne.yytext),"DIR";case 88:return ne.yytext=ne.yytext.replace(/^,\s*/,""),ae.getLogger().debug("Lex (x):",ne.yytext),"DIR";case 89:return ne.yytext=ne.yytext.replace(/^,\s*/,""),ae.getLogger().debug("Lex (y):",ne.yytext),"DIR";case 90:return ne.yytext=ne.yytext.replace(/^,\s*/,""),ae.getLogger().debug("Lex (up):",ne.yytext),"DIR";case 91:return ne.yytext=ne.yytext.replace(/^,\s*/,""),ae.getLogger().debug("Lex (down):",ne.yytext),"DIR";case 92:return ne.yytext="]>",ae.getLogger().debug("Lex (ARROW_DIR end):",ne.yytext),this.popState(),this.popState(),"BLOCK_ARROW_END";case 93:return ae.getLogger().debug("Lex: LINK","#"+ne.yytext+"#"),15;case 94:return ae.getLogger().debug("Lex: LINK",ne.yytext),15;case 95:return ae.getLogger().debug("Lex: LINK",ne.yytext),15;case 96:return ae.getLogger().debug("Lex: LINK",ne.yytext),15;case 97:return ae.getLogger().debug("Lex: START_LINK",ne.yytext),this.pushState("LLABEL"),16;case 98:return ae.getLogger().debug("Lex: START_LINK",ne.yytext),this.pushState("LLABEL"),16;case 99:return ae.getLogger().debug("Lex: START_LINK",ne.yytext),this.pushState("LLABEL"),16;case 100:this.pushState("md_string");break;case 101:return ae.getLogger().debug("Lex: Starting string"),this.pushState("string"),"LINK_LABEL";case 102:return this.popState(),ae.getLogger().debug("Lex: LINK","#"+ne.yytext+"#"),15;case 103:return this.popState(),ae.getLogger().debug("Lex: LINK",ne.yytext),15;case 104:return this.popState(),ae.getLogger().debug("Lex: LINK",ne.yytext),15;case 105:return ae.getLogger().debug("Lex: COLON",ne.yytext),ne.yytext=ne.yytext.slice(1),27}},rules:[/^(?:block-beta\b)/,/^(?:block\s+)/,/^(?:block\n+)/,/^(?:block:)/,/^(?:[\s]+)/,/^(?:[\n]+)/,/^(?:((\u000D\u000A)|(\u000A)))/,/^(?:columns\s+auto\b)/,/^(?:columns\s+[\d]+)/,/^(?:["][`])/,/^(?:[^`"]+)/,/^(?:[`]["])/,/^(?:["])/,/^(?:["])/,/^(?:[^"]*)/,/^(?:space[:]\d+)/,/^(?:space\b)/,/^(?:default\b)/,/^(?:linkStyle\b)/,/^(?:interpolate\b)/,/^(?:classDef\s+)/,/^(?:DEFAULT\s+)/,/^(?:\w+\s+)/,/^(?:[^\n]*)/,/^(?:class\s+)/,/^(?:(\w+)+((,\s*\w+)*))/,/^(?:[^\n]*)/,/^(?:style\s+)/,/^(?:(\w+)+((,\s*\w+)*))/,/^(?:[^\n]*)/,/^(?:accTitle\s*:\s*)/,/^(?:(?!\n||)*[^\n]*)/,/^(?:accDescr\s*:\s*)/,/^(?:(?!\n||)*[^\n]*)/,/^(?:accDescr\s*\{\s*)/,/^(?:[\}])/,/^(?:[^\}]*)/,/^(?:end\b\s*)/,/^(?:\(\(\()/,/^(?:\)\)\))/,/^(?:[\)]\))/,/^(?:\}\})/,/^(?:\})/,/^(?:\(-)/,/^(?:-\))/,/^(?:\(\()/,/^(?:\]\])/,/^(?:\()/,/^(?:\]\))/,/^(?:\\\])/,/^(?:\/\])/,/^(?:\)\])/,/^(?:[\)])/,/^(?:\]>)/,/^(?:[\]])/,/^(?:-\))/,/^(?:\(-)/,/^(?:\)\))/,/^(?:\))/,/^(?:\(\(\()/,/^(?:\(\()/,/^(?:\{\{)/,/^(?:\{)/,/^(?:>)/,/^(?:\(\[)/,/^(?:\()/,/^(?:\[\[)/,/^(?:\[\|)/,/^(?:\[\()/,/^(?:\)\)\))/,/^(?:\[\\)/,/^(?:\[\/)/,/^(?:\[\\)/,/^(?:\[)/,/^(?:<\[)/,/^(?:[^\(\[\n\-\)\{\}\s\<\>:]+)/,/^(?:$)/,/^(?:["][`])/,/^(?:["][`])/,/^(?:[^`"]+)/,/^(?:[`]["])/,/^(?:["])/,/^(?:["])/,/^(?:[^"]+)/,/^(?:["])/,/^(?:\]>\s*\()/,/^(?:,?\s*right\s*)/,/^(?:,?\s*left\s*)/,/^(?:,?\s*x\s*)/,/^(?:,?\s*y\s*)/,/^(?:,?\s*up\s*)/,/^(?:,?\s*down\s*)/,/^(?:\)\s*)/,/^(?:\s*[xo<]?--+[-xo>]\s*)/,/^(?:\s*[xo<]?==+[=xo>]\s*)/,/^(?:\s*[xo<]?-?\.+-[xo>]?\s*)/,/^(?:\s*~~[\~]+\s*)/,/^(?:\s*[xo<]?--\s*)/,/^(?:\s*[xo<]?==\s*)/,/^(?:\s*[xo<]?-\.\s*)/,/^(?:["][`])/,/^(?:["])/,/^(?:\s*[xo<]?--+[-xo>]\s*)/,/^(?:\s*[xo<]?==+[=xo>]\s*)/,/^(?:\s*[xo<]?-?\.+-[xo>]?\s*)/,/^(?::\d+)/],conditions:{STYLE_DEFINITION:{rules:[29],inclusive:!1},STYLE_STMNT:{rules:[28],inclusive:!1},CLASSDEFID:{rules:[23],inclusive:!1},CLASSDEF:{rules:[21,22],inclusive:!1},CLASS_STYLE:{rules:[26],inclusive:!1},CLASS:{rules:[25],inclusive:!1},LLABEL:{rules:[100,101,102,103,104],inclusive:!1},ARROW_DIR:{rules:[86,87,88,89,90,91,92],inclusive:!1},BLOCK_ARROW:{rules:[77,82,85],inclusive:!1},NODE:{rules:[38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,78,81],inclusive:!1},md_string:{rules:[10,11,79,80],inclusive:!1},space:{rules:[],inclusive:!1},string:{rules:[13,14,83,84],inclusive:!1},acc_descr_multiline:{rules:[35,36],inclusive:!1},acc_descr:{rules:[33],inclusive:!1},acc_title:{rules:[31],inclusive:!1},INITIAL:{rules:[0,1,2,3,4,5,6,7,8,9,12,15,16,17,18,19,20,24,27,30,32,34,37,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,93,94,95,96,97,98,99,105],inclusive:!0}}};return pe}();ee.lexer=ie;function oe(){this.yy={}}return oe.prototype=ee,ee.Parser=oe,new oe}();lwe.parser=lwe;const ucn=lwe;let U2={},hwe=[],ij={};const LWe="color",MWe="fill",lcn="bgFill",DWe=",";let sj={};const hcn=function(i,s=""){sj[i]===void 0&&(sj[i]={id:i,styles:[],textStyles:[]});const u=sj[i];s!=null&&s.split(DWe).forEach(d=>{const p=d.replace(/([^;]*);/,"$1").trim();if(d.match(LWe)){const b=p.replace(MWe,lcn).replace(LWe,MWe);u.textStyles.push(b)}u.styles.push(p)})},fcn=function(i,s=""){const u=U2[i];s!=null&&(u.styles=s.split(DWe))},dcn=function(i,s){i.split(",").forEach(function(u){let d=U2[u];if(d===void 0){const p=u.trim();U2[p]={id:p,type:"na",children:[]},d=U2[p]}d.classes||(d.classes=[]),d.classes.push(s)})},IWe=(i,s)=>{const u=i.flat(),d=[];for(const p of u){if(p.type==="classDef"){hcn(p.id,p.css);continue}if(p.type==="applyClass"){dcn(p.id,(p==null?void 0:p.styleClass)||"");continue}if(p.type==="applyStyles"){p!=null&&p.stylesStr&&fcn(p.id,p==null?void 0:p.stylesStr);continue}if(p.type==="column-setting")s.columns=p.columns||-1;else if(p.type==="edge")ij[p.id]?ij[p.id]++:ij[p.id]=1,p.id=ij[p.id]+"-"+p.id,hwe.push(p);else{p.label||(p.type==="composite"?p.label="":p.label=p.id);const v=!U2[p.id];if(v?U2[p.id]=p:(p.type!=="na"&&(U2[p.id].type=p.type),p.label!==p.id&&(U2[p.id].label=p.label)),p.children&&IWe(p.children,p),p.type==="space"){const b=p.width||1;for(let y=0;y{Xe.debug("Clear called"),Pg(),aj={id:"root",type:"composite",children:[],columns:-1},U2={root:aj},fwe=[],sj={},hwe=[],ij={}};function pcn(i){switch(Xe.debug("typeStr2Type",i),i){case"[]":return"square";case"()":return Xe.debug("we have a round"),"round";case"(())":return"circle";case">]":return"rect_left_inv_arrow";case"{}":return"diamond";case"{{}}":return"hexagon";case"([])":return"stadium";case"[[]]":return"subroutine";case"[()]":return"cylinder";case"((()))":return"doublecircle";case"[//]":return"lean_right";case"[\\\\]":return"lean_left";case"[/\\]":return"trapezoid";case"[\\/]":return"inv_trapezoid";case"<[]>":return"block_arrow";default:return"na"}}function bcn(i){switch(Xe.debug("typeStr2Type",i),i){case"==":return"thick";default:return"normal"}}function mcn(i){switch(i.trim()){case"--x":return"arrow_cross";case"--o":return"arrow_circle";default:return"arrow_point"}}let OWe=0;const vcn={getConfig:()=>Vh().block,typeStr2Type:pcn,edgeTypeStr2Type:bcn,edgeStrToEdgeData:mcn,getLogger:()=>console,getBlocksFlat:()=>[...Object.values(U2)],getBlocks:()=>fwe||[],getEdges:()=>hwe,setHierarchy:i=>{aj.children=i,IWe(i,aj),fwe=aj.children},getBlock:i=>U2[i],setBlock:i=>{U2[i.id]=i},getColumns:i=>{const s=U2[i];return s?s.columns?s.columns:s.children?s.children.length:-1:-1},getClasses:function(){return sj},clear:gcn,generateId:()=>(OWe++,"id-"+Math.random().toString(36).substr(2,12)+"-"+OWe)},jJ=(i,s)=>{const u=ARe,d=u(i,"r"),p=u(i,"g"),v=u(i,"b");return SC(d,p,v,s)},wcn=i=>`.label { + font-family: ${i.fontFamily}; + color: ${i.nodeTextColor||i.textColor}; + } + .cluster-label text { + fill: ${i.titleColor}; + } + .cluster-label span,p { + color: ${i.titleColor}; + } + + + + .label text,span,p { + fill: ${i.nodeTextColor||i.textColor}; + color: ${i.nodeTextColor||i.textColor}; + } + + .node rect, + .node circle, + .node ellipse, + .node polygon, + .node path { + fill: ${i.mainBkg}; + stroke: ${i.nodeBorder}; + stroke-width: 1px; + } + .flowchart-label text { + text-anchor: middle; + } + // .flowchart-label .text-outer-tspan { + // text-anchor: middle; + // } + // .flowchart-label .text-inner-tspan { + // text-anchor: start; + // } + + .node .label { + text-align: center; + } + .node.clickable { + cursor: pointer; + } + + .arrowheadPath { + fill: ${i.arrowheadColor}; + } + + .edgePath .path { + stroke: ${i.lineColor}; + stroke-width: 2.0px; + } + + .flowchart-link { + stroke: ${i.lineColor}; + fill: none; + } + + .edgeLabel { + background-color: ${i.edgeLabelBackground}; + rect { + opacity: 0.5; + background-color: ${i.edgeLabelBackground}; + fill: ${i.edgeLabelBackground}; + } + text-align: center; + } + + /* For html labels only */ + .labelBkg { + background-color: ${jJ(i.edgeLabelBackground,.5)}; + // background-color: + } + + .node .cluster { + // fill: ${jJ(i.mainBkg,.5)}; + fill: ${jJ(i.clusterBkg,.5)}; + stroke: ${jJ(i.clusterBorder,.2)}; + box-shadow: rgba(50, 50, 93, 0.25) 0px 13px 27px -5px, rgba(0, 0, 0, 0.3) 0px 8px 16px -8px; + stroke-width: 1px; + } + + .cluster text { + fill: ${i.titleColor}; + } + + .cluster span,p { + color: ${i.titleColor}; + } + /* .cluster div { + color: ${i.titleColor}; + } */ + + div.mermaidTooltip { + position: absolute; + text-align: center; + max-width: 200px; + padding: 2px; + font-family: ${i.fontFamily}; + font-size: 12px; + background: ${i.tertiaryColor}; + border: 1px solid ${i.border2}; + border-radius: 2px; + pointer-events: none; + z-index: 100; + } + + .flowchartTitleText { + text-anchor: middle; + font-size: 18px; + fill: ${i.textColor}; + } +`;function NWe(i,s,u=!1){var R,F,j;const d=i;let p="default";(((R=d==null?void 0:d.classes)==null?void 0:R.length)||0)>0&&(p=((d==null?void 0:d.classes)||[]).join(" ")),p=p+" flowchart-label";let v=0,b="",y;switch(d.type){case"round":v=5,b="rect";break;case"composite":v=0,b="composite",y=0;break;case"square":b="rect";break;case"diamond":b="question";break;case"hexagon":b="hexagon";break;case"block_arrow":b="block_arrow";break;case"odd":b="rect_left_inv_arrow";break;case"lean_right":b="lean_right";break;case"lean_left":b="lean_left";break;case"trapezoid":b="trapezoid";break;case"inv_trapezoid":b="inv_trapezoid";break;case"rect_left_inv_arrow":b="rect_left_inv_arrow";break;case"circle":b="circle";break;case"ellipse":b="ellipse";break;case"stadium":b="stadium";break;case"subroutine":b="subroutine";break;case"cylinder":b="cylinder";break;case"group":b="rect";break;case"doublecircle":b="doublecircle";break;default:b="rect"}const T=om((d==null?void 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ge=i;if(!X.size)continue;const{width:W,height:xe}=X.size,{px:U,py:Fe}=Ccn(u,ne);if(Fe!=de&&(de=Fe,se=(R=i==null?void 0:i.size)!=null&&R.x?((F=i==null?void 0:i.size)==null?void 0:F.x)+(-((j=i==null?void 0:i.size)==null?void 0:j.width)/2||0):-e0,Xe.debug("New row in layout for block",i.id," and child ",X.id,de)),Xe.debug(`abc89 layout blocks (child) id: ${X.id} Pos: ${ne} (px, py) ${U},${Fe} (${(K=ge==null?void 0:ge.size)==null?void 0:K.x},${(ee=ge==null?void 0:ge.size)==null?void 0:ee.y}) parent: ${ge.id} width: ${W}${e0}`),ge.size){const Pe=W/2;X.size.x=se+e0+Pe,Xe.debug(`abc91 layout blocks (calc) px, pyid:${X.id} startingPos=X${se} new startingPosX${X.size.x} ${Pe} padding=${e0} width=${W} halfWidth=${Pe} => x:${X.size.x} y:${X.size.y} ${X.widthInColumns} (width * (child?.w || 1)) / 2 ${W*((X==null?void 0:X.widthInColumns)||1)/2}`),se=X.size.x+Pe,X.size.y=ge.size.y-ge.size.height/2+Fe*(xe+e0)+xe/2+e0,Xe.debug(`abc88 layout blocks (calc) px, 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is({viewport$:e}){if(!Q("header.autohide"))return $(!1);let t=e.pipe(m(({offset:{y:n}})=>n),tt(2,1),m(([n,i])=>[nMath.abs(i-n.y)>100),m(([,[n]])=>n),Y()),o=Be("search");return V([e,o]).pipe(m(([{offset:n},i])=>n.y>400&&!i),Y(),b(n=>n?r:$(!1)),K(!1))}function ti(e,t){return k(()=>V([Le(e),is(t)])).pipe(m(([{height:r},o])=>({height:r,hidden:o})),Y((r,o)=>r.height===o.height&&r.hidden===o.hidden),X(1))}function ri(e,{header$:t,main$:r}){return k(()=>{let o=new T,n=o.pipe(re(),ae(!0));o.pipe(oe("active"),De(t)).subscribe(([{active:s},{hidden:a}])=>{e.classList.toggle("md-header--shadow",s&&!a),e.hidden=a});let i=fe(M("[title]",e)).pipe(v(()=>Q("content.tooltips")),J(s=>ei(s)));return r.subscribe(o),t.pipe(W(n),m(s=>j({ref:e},s)),Ne(i.pipe(W(n))))})}function as(e,{viewport$:t,header$:r}){return Er(e,{viewport$:t,header$:r}).pipe(m(({offset:{y:o}})=>{let{height:n}=de(e);return{active:o>=n}}),oe("active"))}function oi(e,t){return k(()=>{let r=new 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T,o=r.pipe(re(),ae(!0));V([t.pipe(Re(zt)),r],(i,s)=>s).pipe(oe("value")).subscribe(({value:i})=>t.next({type:2,data:i})),r.pipe(oe("focus")).subscribe(({focus:i})=>{i&&it("search",i)}),h(e.form,"reset").pipe(W(o)).subscribe(()=>e.focus());let n=F("header [for=__search]");return h(n,"click").subscribe(()=>e.focus()),hs(e,{worker$:t}).pipe(S(i=>r.next(i)),A(()=>r.complete()),m(i=>j({ref:e},i)),X(1))}function Ei(e,{worker$:t,query$:r}){let o=new T,n=mn(e.parentElement).pipe(v(Boolean)),i=e.parentElement,s=F(":scope > :first-child",e),a=F(":scope > :last-child",e);Be("search").subscribe(l=>a.setAttribute("role",l?"list":"presentation")),o.pipe(te(r),Gr(t.pipe(Re(zt)))).subscribe(([{items:l},{value:f}])=>{switch(l.length){case 0:s.textContent=f.length?Me("search.result.none"):Me("search.result.placeholder");break;case 1:s.textContent=Me("search.result.one");break;default:let u=br(l.length);s.textContent=Me("search.result.other",u)}});let c=o.pipe(S(()=>a.innerHTML=""),b(({items:l})=>O($(...l.slice(0,10)),$(...l.slice(10)).pipe(tt(4),Xr(n),b(([f])=>f)))),m($n),le());return c.subscribe(l=>a.appendChild(l)),c.pipe(J(l=>{let f=ue("details",l);return typeof f=="undefined"?x:h(f,"toggle").pipe(W(o),m(()=>f))})).subscribe(l=>{l.open===!1&&l.offsetTop<=i.scrollTop&&i.scrollTo({top:l.offsetTop})}),t.pipe(v(Sr),m(({data:l})=>l)).pipe(S(l=>o.next(l)),A(()=>o.complete()),m(l=>j({ref:e},l)))}function bs(e,{query$:t}){return t.pipe(m(({value:r})=>{let o=we();return o.hash="",r=r.replace(/\s+/g,"+").replace(/&/g,"%26").replace(/=/g,"%3D"),o.search=`q=${r}`,{url:o}}))}function wi(e,t){let r=new T,o=r.pipe(re(),ae(!0));return r.subscribe(({url:n})=>{e.setAttribute("data-clipboard-text",e.href),e.href=`${n}`}),h(e,"click").pipe(W(o)).subscribe(n=>n.preventDefault()),bs(e,t).pipe(S(n=>r.next(n)),A(()=>r.complete()),m(n=>j({ref:e},n)))}function Ti(e,{worker$:t,keyboard$:r}){let o=new T,n=Ce("search-query"),i=O(h(n,"keydown"),h(n,"focus")).pipe(xe(pe),m(()=>n.value),Y());return o.pipe(De(i),m(([{suggest:a},c])=>{let p=c.split(/([\s-]+)/);if(a!=null&&a.length&&p[p.length-1]){let l=a[a.length-1];l.startsWith(p[p.length-1])&&(p[p.length-1]=l)}else p.length=0;return p})).subscribe(a=>e.innerHTML=a.join("").replace(/\s/g," ")),r.pipe(v(({mode:a})=>a==="search")).subscribe(a=>{switch(a.type){case"ArrowRight":e.innerText.length&&n.selectionStart===n.value.length&&(n.value=e.innerText);break}}),t.pipe(v(Sr),m(({data:a})=>a)).pipe(S(a=>o.next(a)),A(()=>o.complete()),m(()=>({ref:e})))}function Si(e,{index$:t,keyboard$:r}){let o=Te();try{let n=gi(o.search,t),i=Ce("search-query",e),s=Ce("search-result",e);h(e,"click").pipe(v(({target:c})=>c instanceof Element&&!!c.closest("a"))).subscribe(()=>it("search",!1)),r.pipe(v(({mode:c})=>c==="search")).subscribe(c=>{let p=Ve();switch(c.type){case"Enter":if(p===i){let l=new Map;for(let f of M(":first-child [href]",s)){let 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V([t,r.pipe(K(we()),v(o=>!!o.searchParams.get("h")))]).pipe(m(([o,n])=>vi(o.config)(n.searchParams.get("h"))),m(o=>{var s;let n=new Map,i=document.createNodeIterator(e,NodeFilter.SHOW_TEXT);for(let a=i.nextNode();a;a=i.nextNode())if((s=a.parentElement)!=null&&s.offsetHeight){let c=a.textContent,p=o(c);p.length>c.length&&n.set(a,p)}for(let[a,c]of n){let{childNodes:p}=y("span",null,c);a.replaceWith(...Array.from(p))}return{ref:e,nodes:n}}))}function vs(e,{viewport$:t,main$:r}){let o=e.closest(".md-grid"),n=o.offsetTop-o.parentElement.offsetTop;return V([r,t]).pipe(m(([{offset:i,height:s},{offset:{y:a}}])=>(s=s+Math.min(n,Math.max(0,a-i))-n,{height:s,locked:a>=i+n})),Y((i,s)=>i.height===s.height&&i.locked===s.locked))}function co(e,o){var n=o,{header$:t}=n,r=ho(n,["header$"]);let i=F(".md-sidebar__scrollwrap",e),{y:s}=Qe(i);return k(()=>{let a=new T,c=a.pipe(re(),ae(!0)),p=a.pipe($e(0,ge));return p.pipe(te(t)).subscribe({next([{height:l},{height:f}]){i.style.height=`${l-2*s}px`,e.style.top=`${f}px`},complete(){i.style.height="",e.style.top=""}}),p.pipe(Re()).subscribe(()=>{for(let l of M(".md-nav__link--active[href]",e)){if(!l.clientHeight)continue;let f=l.closest(".md-sidebar__scrollwrap");if(typeof f!="undefined"){let u=l.offsetTop-f.offsetTop,{height:d}=de(f);f.scrollTo({top:u-d/2})}}}),fe(M("label[tabindex]",e)).pipe(J(l=>h(l,"click").pipe(xe(pe),m(()=>l),W(c)))).subscribe(l=>{let f=F(`[id="${l.htmlFor}"]`);F(`[aria-labelledby="${l.id}"]`).setAttribute("aria-expanded",`${f.checked}`)}),Q("content.tooltips")&&fe(M("abbr[title]",e)).pipe(J(l=>Je(l,{viewport$})),W(c)).subscribe(),vs(e,r).pipe(S(l=>a.next(l)),A(()=>a.complete()),m(l=>j({ref:e},l)))})}function Li(e,t){if(typeof t!="undefined"){let r=`https://api.github.com/repos/${e}/${t}`;return bt(Ge(`${r}/releases/latest`).pipe(ye(()=>x),m(o=>({version:o.tag_name})),rt({})),Ge(r).pipe(ye(()=>x),m(o=>({stars:o.stargazers_count,forks:o.forks_count})),rt({}))).pipe(m(([o,n])=>j(j({},o),n)))}else{let r=`https://api.github.com/users/${e}`;return Ge(r).pipe(m(o=>({repositories:o.public_repos})),rt({}))}}function Mi(e,t){let r=`https://${e}/api/v4/projects/${encodeURIComponent(t)}`;return Ge(r).pipe(ye(()=>x),m(({star_count:o,forks_count:n})=>({stars:o,forks:n})),rt({}))}function _i(e){let t=e.match(/^.+github\.com\/([^/]+)\/?([^/]+)?/i);if(t){let[,r,o]=t;return Li(r,o)}if(t=e.match(/^.+?([^/]*gitlab[^/]+)\/(.+?)\/?$/i),t){let[,r,o]=t;return Mi(r,o)}return x}var gs;function xs(e){return gs||(gs=k(()=>{let t=__md_get("__source",sessionStorage);if(t)return $(t);if(me("consent").length){let o=__md_get("__consent");if(!(o&&o.github))return x}return 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Ii({viewport$:e,tablet$:t}){V([Be("search"),t]).pipe(m(([r,o])=>r&&!o),b(r=>$(r).pipe(ot(r?400:100))),te(e)).subscribe(([r,{offset:{y:o}}])=>{if(r)document.body.setAttribute("data-md-scrolllock",""),document.body.style.top=`-${o}px`;else{let n=-1*parseInt(document.body.style.top,10);document.body.removeAttribute("data-md-scrolllock"),document.body.style.top="",n&&window.scrollTo(0,n)}})}Object.entries||(Object.entries=function(e){let t=[];for(let r of Object.keys(e))t.push([r,e[r]]);return t});Object.values||(Object.values=function(e){let t=[];for(let r of Object.keys(e))t.push(e[r]);return t});typeof Element!="undefined"&&(Element.prototype.scrollTo||(Element.prototype.scrollTo=function(e,t){typeof e=="object"?(this.scrollLeft=e.left,this.scrollTop=e.top):(this.scrollLeft=e,this.scrollTop=t)}),Element.prototype.replaceWith||(Element.prototype.replaceWith=function(...e){let t=this.parentNode;if(t){e.length===0&&t.removeChild(this);for(let r=e.length-1;r>=0;r--){let o=e[r];typeof 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t=ue("link[rel=prev]");typeof t!="undefined"&&at(t);break;case"n":case".":let r=ue("link[rel=next]");typeof r!="undefined"&&at(r);break;case"Enter":let o=Ve();o instanceof HTMLLabelElement&&o.click()}});$i({viewport$:He,document$:st});Ri({document$:st,tablet$:Lr});Pi({document$:st});Ii({viewport$:He,tablet$:Lr});var mt=ti(Ce("header"),{viewport$:He}),qt=st.pipe(m(()=>Ce("main")),b(e=>ni(e,{viewport$:He,header$:mt})),X(1)),Os=O(...me("consent").map(e=>Mn(e,{target$:$t})),...me("dialog").map(e=>Zn(e,{alert$:lo})),...me("header").map(e=>ri(e,{viewport$:He,header$:mt,main$:qt})),...me("palette").map(e=>ii(e)),...me("progress").map(e=>ai(e,{progress$:mo})),...me("search").map(e=>Si(e,{index$:Wi,keyboard$:po})),...me("source").map(e=>Ai(e))),Ls=k(()=>O(...me("announce").map(e=>Ln(e)),...me("content").map(e=>Xn(e,{sitemap$:Di,viewport$:He,target$:$t,print$:Ui})),...me("content").map(e=>Q("search.highlight")?Oi(e,{index$:Wi,location$:Kt}):x),...me("header-title").map(e=>oi(e,{viewport$:He,header$:mt})),...me("sidebar").map(e=>e.getAttribute("data-md-type")==="navigation"?eo(ji,()=>co(e,{viewport$:He,header$:mt,main$:qt})):eo(Lr,()=>co(e,{viewport$:He,header$:mt,main$:qt}))),...me("tabs").map(e=>Ci(e,{viewport$:He,header$:mt})),...me("toc").map(e=>Hi(e,{viewport$:He,header$:mt,main$:qt,target$:$t})),...me("top").map(e=>ki(e,{viewport$:He,header$:mt,main$:qt,target$:$t})))),Ni=st.pipe(b(()=>Ls),Ne(Os),X(1));Ni.subscribe();window.document$=st;window.location$=Kt;window.target$=$t;window.keyboard$=po;window.viewport$=He;window.tablet$=Lr;window.screen$=ji;window.print$=Ui;window.alert$=lo;window.progress$=mo;window.component$=Ni;})(); diff --git a/assets/javascripts/lunr/min/lunr.ar.min.js b/assets/javascripts/lunr/min/lunr.ar.min.js new file mode 100644 index 00000000..9b06c26c --- /dev/null +++ b/assets/javascripts/lunr/min/lunr.ar.min.js @@ -0,0 +1 @@ +!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. 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nu når og også om op os over på selv sig sin sine sit skal skulle som sådan thi til ud under var vi vil ville vor være været".split(" ")),e.Pipeline.registerFunction(e.da.stopWordFilter,"stopWordFilter-da")}}); \ No newline at end of file diff --git a/assets/javascripts/lunr/min/lunr.de.min.js b/assets/javascripts/lunr/min/lunr.de.min.js new file mode 100644 index 00000000..f3b5c108 --- /dev/null +++ b/assets/javascripts/lunr/min/lunr.de.min.js @@ -0,0 +1,18 @@ +/*! + * Lunr languages, `German` language + * https://github.com/MihaiValentin/lunr-languages + * + * Copyright 2014, Mihai Valentin + * http://www.mozilla.org/MPL/ + */ +/*! + * based on + * Snowball JavaScript Library v0.3 + * http://code.google.com/p/urim/ + * http://snowball.tartarus.org/ + * + * Copyright 2010, Oleg Mazko + * http://www.mozilla.org/MPL/ + */ + +!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. 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andere anderem anderen anderer anderes anderm andern anderr anders auch auf aus bei bin bis bist da damit dann das dasselbe dazu daß dein deine deinem deinen deiner deines dem demselben den denn denselben der derer derselbe derselben des desselben dessen dich die dies diese dieselbe dieselben diesem diesen dieser dieses dir doch dort du durch ein eine einem einen einer eines einig einige einigem einigen einiger einiges einmal er es etwas euch euer eure eurem euren eurer eures für gegen gewesen hab habe haben hat hatte hatten hier hin hinter ich ihm ihn ihnen ihr ihre ihrem ihren ihrer ihres im in indem ins ist jede jedem jeden jeder jedes jene jenem jenen jener jenes jetzt kann kein keine keinem keinen keiner keines können könnte machen man manche manchem manchen mancher manches mein meine meinem meinen meiner meines mich mir mit muss musste nach nicht nichts noch nun nur ob oder ohne sehr sein seine seinem seinen seiner seines selbst sich sie sind so solche solchem solchen solcher solches soll sollte sondern sonst um und uns unse unsem unsen unser unses unter viel vom von vor war waren warst was weg weil weiter welche welchem welchen welcher welches wenn werde werden wie wieder will wir wird wirst wo wollen wollte während würde würden zu zum zur zwar zwischen über".split(" ")),e.Pipeline.registerFunction(e.de.stopWordFilter,"stopWordFilter-de")}}); \ No newline at end of file diff --git a/assets/javascripts/lunr/min/lunr.du.min.js b/assets/javascripts/lunr/min/lunr.du.min.js new file mode 100644 index 00000000..49a0f3f0 --- /dev/null +++ b/assets/javascripts/lunr/min/lunr.du.min.js @@ -0,0 +1,18 @@ +/*! + * Lunr languages, `Dutch` language + * https://github.com/MihaiValentin/lunr-languages + * + * Copyright 2014, Mihai Valentin + * http://www.mozilla.org/MPL/ + */ +/*! + * based on + * Snowball JavaScript Library v0.3 + * http://code.google.com/p/urim/ + * http://snowball.tartarus.org/ + * + * Copyright 2010, Oleg Mazko + * http://www.mozilla.org/MPL/ + */ + +!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. 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e=C.limit-C.cursor;C.find_among_b(g,3)&&(C.cursor=C.limit-e,C.ket=C.cursor,C.cursor>C.limit_backward&&(C.cursor--,C.bra=C.cursor,C.slice_del()))}function l(){var e;w=!1,C.ket=C.cursor,C.eq_s_b(1,"e")&&(C.bra=C.cursor,u()&&(e=C.limit-C.cursor,C.out_grouping_b(q,97,232)&&(C.cursor=C.limit-e,C.slice_del(),w=!0,a())))}function m(){var e;u()&&(e=C.limit-C.cursor,C.out_grouping_b(q,97,232)&&(C.cursor=C.limit-e,C.eq_s_b(3,"gem")||(C.cursor=C.limit-e,C.slice_del(),a())))}function d(){var e,r,i,n,o,t,s=C.limit-C.cursor;if(C.ket=C.cursor,e=C.find_among_b(h,5))switch(C.bra=C.cursor,e){case 1:u()&&C.slice_from("heid");break;case 2:m();break;case 3:u()&&C.out_grouping_b(z,97,232)&&C.slice_del()}if(C.cursor=C.limit-s,l(),C.cursor=C.limit-s,C.ket=C.cursor,C.eq_s_b(4,"heid")&&(C.bra=C.cursor,c()&&(r=C.limit-C.cursor,C.eq_s_b(1,"c")||(C.cursor=C.limit-r,C.slice_del(),C.ket=C.cursor,C.eq_s_b(2,"en")&&(C.bra=C.cursor,m())))),C.cursor=C.limit-s,C.ket=C.cursor,e=C.find_among_b(k,6))switch(C.bra=C.cursor,e){case 1:if(c()){if(C.slice_del(),i=C.limit-C.cursor,C.ket=C.cursor,C.eq_s_b(2,"ig")&&(C.bra=C.cursor,c()&&(n=C.limit-C.cursor,!C.eq_s_b(1,"e")))){C.cursor=C.limit-n,C.slice_del();break}C.cursor=C.limit-i,a()}break;case 2:c()&&(o=C.limit-C.cursor,C.eq_s_b(1,"e")||(C.cursor=C.limit-o,C.slice_del()));break;case 3:c()&&(C.slice_del(),l());break;case 4:c()&&C.slice_del();break;case 5:c()&&w&&C.slice_del()}C.cursor=C.limit-s,C.out_grouping_b(j,73,232)&&(t=C.limit-C.cursor,C.find_among_b(v,4)&&C.out_grouping_b(q,97,232)&&(C.cursor=C.limit-t,C.ket=C.cursor,C.cursor>C.limit_backward&&(C.cursor--,C.bra=C.cursor,C.slice_del())))}var f,_,w,b=[new r("",-1,6),new r("á",0,1),new r("ä",0,1),new r("é",0,2),new r("ë",0,2),new r("í",0,3),new r("ï",0,3),new r("ó",0,4),new r("ö",0,4),new r("ú",0,5),new r("ü",0,5)],p=[new r("",-1,3),new r("I",0,2),new r("Y",0,1)],g=[new r("dd",-1,-1),new r("kk",-1,-1),new r("tt",-1,-1)],h=[new r("ene",-1,2),new r("se",-1,3),new r("en",-1,2),new r("heden",2,1),new r("s",-1,3)],k=[new r("end",-1,1),new r("ig",-1,2),new r("ing",-1,1),new r("lijk",-1,3),new r("baar",-1,4),new r("bar",-1,5)],v=[new r("aa",-1,-1),new r("ee",-1,-1),new r("oo",-1,-1),new r("uu",-1,-1)],q=[17,65,16,1,0,0,0,0,0,0,0,0,0,0,0,0,128],j=[1,0,0,17,65,16,1,0,0,0,0,0,0,0,0,0,0,0,0,128],z=[17,67,16,1,0,0,0,0,0,0,0,0,0,0,0,0,128],C=new i;this.setCurrent=function(e){C.setCurrent(e)},this.getCurrent=function(){return C.getCurrent()},this.stem=function(){var r=C.cursor;return e(),C.cursor=r,o(),C.limit_backward=r,C.cursor=C.limit,d(),C.cursor=C.limit_backward,s(),!0}};return function(e){return"function"==typeof e.update?e.update(function(e){return n.setCurrent(e),n.stem(),n.getCurrent()}):(n.setCurrent(e),n.stem(),n.getCurrent())}}(),e.Pipeline.registerFunction(e.du.stemmer,"stemmer-du"),e.du.stopWordFilter=e.generateStopWordFilter(" aan al alles als altijd andere ben bij daar dan dat de der deze die dit doch doen door dus een eens en er ge geen geweest haar had heb hebben heeft hem het hier hij hoe hun iemand iets ik in is ja je kan kon kunnen maar me meer men met mij mijn moet na naar niet niets nog nu of om omdat onder ons ook op over reeds te tegen toch toen tot u uit uw van veel voor want waren was wat werd wezen wie wil worden wordt zal ze zelf zich zij zijn zo zonder zou".split(" ")),e.Pipeline.registerFunction(e.du.stopWordFilter,"stopWordFilter-du")}}); \ No newline at end of file diff --git a/assets/javascripts/lunr/min/lunr.el.min.js b/assets/javascripts/lunr/min/lunr.el.min.js new file mode 100644 index 00000000..ace017bd --- /dev/null +++ b/assets/javascripts/lunr/min/lunr.el.min.js @@ -0,0 +1 @@ +!function(e,t){"function"==typeof define&&define.amd?define(t):"object"==typeof exports?module.exports=t():t()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.el=function(){this.pipeline.reset(),void 0===this.searchPipeline&&this.pipeline.add(e.el.trimmer,e.el.normilizer),this.pipeline.add(e.el.stopWordFilter,e.el.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.el.stemmer))},e.el.wordCharacters="A-Za-zΑαΒβΓγΔδΕεΖζΗηΘθΙιΚκΛλΜμΝνΞξΟοΠπΡρΣσςΤτΥυΦφΧχΨψΩωΆάΈέΉήΊίΌόΎύΏώΪΐΫΰΐΰ",e.el.trimmer=e.trimmerSupport.generateTrimmer(e.el.wordCharacters),e.Pipeline.registerFunction(e.el.trimmer,"trimmer-el"),e.el.stemmer=function(){function e(e){return s.test(e)}function t(e){return/[ΑΕΗΙΟΥΩ]$/.test(e)}function r(e){return/[ΑΕΗΙΟΩ]$/.test(e)}function n(n){var s=n;if(n.length<3)return s;if(!e(n))return s;if(i.indexOf(n)>=0)return s;var u=new RegExp("(.*)("+Object.keys(l).join("|")+")$"),o=u.exec(s);return null!==o&&(s=o[1]+l[o[2]]),null!==(o=/^(.+?)(ΑΔΕΣ|ΑΔΩΝ)$/.exec(s))&&(s=o[1],/(ΟΚ|ΜΑΜ|ΜΑΝ|ΜΠΑΜΠ|ΠΑΤΕΡ|ΓΙΑΓΙ|ΝΤΑΝΤ|ΚΥΡ|ΘΕΙ|ΠΕΘΕΡ|ΜΟΥΣΑΜ|ΚΑΠΛΑΜ|ΠΑΡ|ΨΑΡ|ΤΖΟΥΡ|ΤΑΜΠΟΥΡ|ΓΑΛΑΤ|ΦΑΦΛΑΤ)$/.test(o[1])||(s+="ΑΔ")),null!==(o=/^(.+?)(ΕΔΕΣ|ΕΔΩΝ)$/.exec(s))&&(s=o[1],/(ΟΠ|ΙΠ|ΕΜΠ|ΥΠ|ΓΗΠ|ΔΑΠ|ΚΡΑΣΠ|ΜΙΛ)$/.test(o[1])&&(s+="ΕΔ")),null!==(o=/^(.+?)(ΟΥΔΕΣ|ΟΥΔΩΝ)$/.exec(s))&&(s=o[1],/(ΑΡΚ|ΚΑΛΙΑΚ|ΠΕΤΑΛ|ΛΙΧ|ΠΛΕΞ|ΣΚ|Σ|ΦΛ|ΦΡ|ΒΕΛ|ΛΟΥΛ|ΧΝ|ΣΠ|ΤΡΑΓ|ΦΕ)$/.test(o[1])&&(s+="ΟΥΔ")),null!==(o=/^(.+?)(ΕΩΣ|ΕΩΝ|ΕΑΣ|ΕΑ)$/.exec(s))&&(s=o[1],/^(Θ|Δ|ΕΛ|ΓΑΛ|Ν|Π|ΙΔ|ΠΑΡ|ΣΤΕΡ|ΟΡΦ|ΑΝΔΡ|ΑΝΤΡ)$/.test(o[1])&&(s+="Ε")),null!==(o=/^(.+?)(ΕΙΟ|ΕΙΟΣ|ΕΙΟΙ|ΕΙΑ|ΕΙΑΣ|ΕΙΕΣ|ΕΙΟΥ|ΕΙΟΥΣ|ΕΙΩΝ)$/.exec(s))&&o[1].length>4&&(s=o[1]),null!==(o=/^(.+?)(ΙΟΥΣ|ΙΑΣ|ΙΕΣ|ΙΟΣ|ΙΟΥ|ΙΟΙ|ΙΩΝ|ΙΟΝ|ΙΑ|ΙΟ)$/.exec(s))&&(s=o[1],(t(s)||s.length<2||/^(ΑΓ|ΑΓΓΕΛ|ΑΓΡ|ΑΕΡ|ΑΘΛ|ΑΚΟΥΣ|ΑΞ|ΑΣ|Β|ΒΙΒΛ|ΒΥΤ|Γ|ΓΙΑΓ|ΓΩΝ|Δ|ΔΑΝ|ΔΗΛ|ΔΗΜ|ΔΟΚΙΜ|ΕΛ|ΖΑΧΑΡ|ΗΛ|ΗΠ|ΙΔ|ΙΣΚ|ΙΣΤ|ΙΟΝ|ΙΩΝ|ΚΙΜΩΛ|ΚΟΛΟΝ|ΚΟΡ|ΚΤΗΡ|ΚΥΡ|ΛΑΓ|ΛΟΓ|ΜΑΓ|ΜΠΑΝ|ΜΠΡ|ΝΑΥΤ|ΝΟΤ|ΟΠΑΛ|ΟΞ|ΟΡ|ΟΣ|ΠΑΝΑΓ|ΠΑΤΡ|ΠΗΛ|ΠΗΝ|ΠΛΑΙΣ|ΠΟΝΤ|ΡΑΔ|ΡΟΔ|ΣΚ|ΣΚΟΡΠ|ΣΟΥΝ|ΣΠΑΝ|ΣΤΑΔ|ΣΥΡ|ΤΗΛ|ΤΙΜ|ΤΟΚ|ΤΟΠ|ΤΡΟΧ|ΦΙΛ|ΦΩΤ|Χ|ΧΙΛ|ΧΡΩΜ|ΧΩΡ)$/.test(o[1]))&&(s+="Ι"),/^(ΠΑΛ)$/.test(o[1])&&(s+="ΑΙ")),null!==(o=/^(.+?)(ΙΚΟΣ|ΙΚΟΝ|ΙΚΕΙΣ|ΙΚΟΙ|ΙΚΕΣ|ΙΚΟΥΣ|ΙΚΗ|ΙΚΗΣ|ΙΚΟ|ΙΚΑ|ΙΚΟΥ|ΙΚΩΝ|ΙΚΩΣ)$/.exec(s))&&(s=o[1],(t(s)||/^(ΑΔ|ΑΛ|ΑΜΑΝ|ΑΜΕΡ|ΑΜΜΟΧΑΛ|ΑΝΗΘ|ΑΝΤΙΔ|ΑΠΛ|ΑΤΤ|ΑΦΡ|ΒΑΣ|ΒΡΩΜ|ΓΕΝ|ΓΕΡ|Δ|ΔΙΚΑΝ|ΔΥΤ|ΕΙΔ|ΕΝΔ|ΕΞΩΔ|ΗΘ|ΘΕΤ|ΚΑΛΛΙΝ|ΚΑΛΠ|ΚΑΤΑΔ|ΚΟΥΖΙΝ|ΚΡ|ΚΩΔ|ΛΟΓ|Μ|ΜΕΡ|ΜΟΝΑΔ|ΜΟΥΛ|ΜΟΥΣ|ΜΠΑΓΙΑΤ|ΜΠΑΝ|ΜΠΟΛ|ΜΠΟΣ|ΜΥΣΤ|Ν|ΝΙΤ|ΞΙΚ|ΟΠΤ|ΠΑΝ|ΠΕΤΣ|ΠΙΚΑΝΤ|ΠΙΤΣ|ΠΛΑΣΤ|ΠΛΙΑΤΣ|ΠΟΝΤ|ΠΟΣΤΕΛΝ|ΠΡΩΤΟΔ|ΣΕΡΤ|ΣΗΜΑΝΤ|ΣΤΑΤ|ΣΥΝΑΔ|ΣΥΝΟΜΗΛ|ΤΕΛ|ΤΕΧΝ|ΤΡΟΠ|ΤΣΑΜ|ΥΠΟΔ|Φ|ΦΙΛΟΝ|ΦΥΛΟΔ|ΦΥΣ|ΧΑΣ)$/.test(o[1])||/(ΦΟΙΝ)$/.test(o[1]))&&(s+="ΙΚ")),"ΑΓΑΜΕ"===s&&(s="ΑΓΑΜ"),null!==(o=/^(.+?)(ΑΓΑΜΕ|ΗΣΑΜΕ|ΟΥΣΑΜΕ|ΗΚΑΜΕ|ΗΘΗΚΑΜΕ)$/.exec(s))&&(s=o[1]),null!==(o=/^(.+?)(ΑΜΕ)$/.exec(s))&&(s=o[1],/^(ΑΝΑΠ|ΑΠΟΘ|ΑΠΟΚ|ΑΠΟΣΤ|ΒΟΥΒ|ΞΕΘ|ΟΥΛ|ΠΕΘ|ΠΙΚΡ|ΠΟΤ|ΣΙΧ|Χ)$/.test(o[1])&&(s+="ΑΜ")),null!==(o=/^(.+?)(ΑΓΑΝΕ|ΗΣΑΝΕ|ΟΥΣΑΝΕ|ΙΟΝΤΑΝΕ|ΙΟΤΑΝΕ|ΙΟΥΝΤΑΝΕ|ΟΝΤΑΝΕ|ΟΤΑΝΕ|ΟΥΝΤΑΝΕ|ΗΚΑΝΕ|ΗΘΗΚΑΝΕ)$/.exec(s))&&(s=o[1],/^(ΤΡ|ΤΣ)$/.test(o[1])&&(s+="ΑΓΑΝ")),null!==(o=/^(.+?)(ΑΝΕ)$/.exec(s))&&(s=o[1],(r(s)||/^(ΒΕΤΕΡ|ΒΟΥΛΚ|ΒΡΑΧΜ|Γ|ΔΡΑΔΟΥΜ|Θ|ΚΑΛΠΟΥΖ|ΚΑΣΤΕΛ|ΚΟΡΜΟΡ|ΛΑΟΠΛ|ΜΩΑΜΕΘ|Μ|ΜΟΥΣΟΥΛΜΑΝ|ΟΥΛ|Π|ΠΕΛΕΚ|ΠΛ|ΠΟΛΙΣ|ΠΟΡΤΟΛ|ΣΑΡΑΚΑΤΣ|ΣΟΥΛΤ|ΤΣΑΡΛΑΤ|ΟΡΦ|ΤΣΙΓΓ|ΤΣΟΠ|ΦΩΤΟΣΤΕΦ|Χ|ΨΥΧΟΠΛ|ΑΓ|ΟΡΦ|ΓΑΛ|ΓΕΡ|ΔΕΚ|ΔΙΠΛ|ΑΜΕΡΙΚΑΝ|ΟΥΡ|ΠΙΘ|ΠΟΥΡΙΤ|Σ|ΖΩΝΤ|ΙΚ|ΚΑΣΤ|ΚΟΠ|ΛΙΧ|ΛΟΥΘΗΡ|ΜΑΙΝΤ|ΜΕΛ|ΣΙΓ|ΣΠ|ΣΤΕΓ|ΤΡΑΓ|ΤΣΑΓ|Φ|ΕΡ|ΑΔΑΠ|ΑΘΙΓΓ|ΑΜΗΧ|ΑΝΙΚ|ΑΝΟΡΓ|ΑΠΗΓ|ΑΠΙΘ|ΑΤΣΙΓΓ|ΒΑΣ|ΒΑΣΚ|ΒΑΘΥΓΑΛ|ΒΙΟΜΗΧ|ΒΡΑΧΥΚ|ΔΙΑΤ|ΔΙΑΦ|ΕΝΟΡΓ|ΘΥΣ|ΚΑΠΝΟΒΙΟΜΗΧ|ΚΑΤΑΓΑΛ|ΚΛΙΒ|ΚΟΙΛΑΡΦ|ΛΙΒ|ΜΕΓΛΟΒΙΟΜΗΧ|ΜΙΚΡΟΒΙΟΜΗΧ|ΝΤΑΒ|ΞΗΡΟΚΛΙΒ|ΟΛΙΓΟΔΑΜ|ΟΛΟΓΑΛ|ΠΕΝΤΑΡΦ|ΠΕΡΗΦ|ΠΕΡΙΤΡ|ΠΛΑΤ|ΠΟΛΥΔΑΠ|ΠΟΛΥΜΗΧ|ΣΤΕΦ|ΤΑΒ|ΤΕΤ|ΥΠΕΡΗΦ|ΥΠΟΚΟΠ|ΧΑΜΗΛΟΔΑΠ|ΨΗΛΟΤΑΒ)$/.test(o[1]))&&(s+="ΑΝ")),null!==(o=/^(.+?)(ΗΣΕΤΕ)$/.exec(s))&&(s=o[1]),null!==(o=/^(.+?)(ΕΤΕ)$/.exec(s))&&(s=o[1],(r(s)||/(ΟΔ|ΑΙΡ|ΦΟΡ|ΤΑΘ|ΔΙΑΘ|ΣΧ|ΕΝΔ|ΕΥΡ|ΤΙΘ|ΥΠΕΡΘ|ΡΑΘ|ΕΝΘ|ΡΟΘ|ΣΘ|ΠΥΡ|ΑΙΝ|ΣΥΝΔ|ΣΥΝ|ΣΥΝΘ|ΧΩΡ|ΠΟΝ|ΒΡ|ΚΑΘ|ΕΥΘ|ΕΚΘ|ΝΕΤ|ΡΟΝ|ΑΡΚ|ΒΑΡ|ΒΟΛ|ΩΦΕΛ)$/.test(o[1])||/^(ΑΒΑΡ|ΒΕΝ|ΕΝΑΡ|ΑΒΡ|ΑΔ|ΑΘ|ΑΝ|ΑΠΛ|ΒΑΡΟΝ|ΝΤΡ|ΣΚ|ΚΟΠ|ΜΠΟΡ|ΝΙΦ|ΠΑΓ|ΠΑΡΑΚΑΛ|ΣΕΡΠ|ΣΚΕΛ|ΣΥΡΦ|ΤΟΚ|Υ|Δ|ΕΜ|ΘΑΡΡ|Θ)$/.test(o[1]))&&(s+="ΕΤ")),null!==(o=/^(.+?)(ΟΝΤΑΣ|ΩΝΤΑΣ)$/.exec(s))&&(s=o[1],/^ΑΡΧ$/.test(o[1])&&(s+="ΟΝΤ"),/ΚΡΕ$/.test(o[1])&&(s+="ΩΝΤ")),null!==(o=/^(.+?)(ΟΜΑΣΤΕ|ΙΟΜΑΣΤΕ)$/.exec(s))&&(s=o[1],/^ΟΝ$/.test(o[1])&&(s+="ΟΜΑΣΤ")),null!==(o=/^(.+?)(ΙΕΣΤΕ)$/.exec(s))&&(s=o[1],/^(Π|ΑΠ|ΣΥΜΠ|ΑΣΥΜΠ|ΑΚΑΤΑΠ|ΑΜΕΤΑΜΦ)$/.test(o[1])&&(s+="ΙΕΣΤ")),null!==(o=/^(.+?)(ΕΣΤΕ)$/.exec(s))&&(s=o[1],/^(ΑΛ|ΑΡ|ΕΚΤΕΛ|Ζ|Μ|Ξ|ΠΑΡΑΚΑΛ|ΠΡΟ|ΝΙΣ)$/.test(o[1])&&(s+="ΕΣΤ")),null!==(o=/^(.+?)(ΗΘΗΚΑ|ΗΘΗΚΕΣ|ΗΘΗΚΕ)$/.exec(s))&&(s=o[1]),null!==(o=/^(.+?)(ΗΚΑ|ΗΚΕΣ|ΗΚΕ)$/.exec(s))&&(s=o[1],(/(ΣΚΩΛ|ΣΚΟΥΛ|ΝΑΡΘ|ΣΦ|ΟΘ|ΠΙΘ)$/.test(o[1])||/^(ΔΙΑΘ|Θ|ΠΑΡΑΚΑΤΑΘ|ΠΡΟΣΘ|ΣΥΝΘ)$/.test(o[1]))&&(s+="ΗΚ")),null!==(o=/^(.+?)(ΟΥΣΑ|ΟΥΣΕΣ|ΟΥΣΕ)$/.exec(s))&&(s=o[1],(t(s)||/^(ΦΑΡΜΑΚ|ΧΑΔ|ΑΓΚ|ΑΝΑΡΡ|ΒΡΟΜ|ΕΚΛΙΠ|ΛΑΜΠΙΔ|ΛΕΧ|Μ|ΠΑΤ|Ρ|Λ|ΜΕΔ|ΜΕΣΑΖ|ΥΠΟΤΕΙΝ|ΑΜ|ΑΙΘ|ΑΝΗΚ|ΔΕΣΠΟΖ|ΕΝΔΙΑΦΕΡ)$/.test(o[1])||/(ΠΟΔΑΡ|ΒΛΕΠ|ΠΑΝΤΑΧ|ΦΡΥΔ|ΜΑΝΤΙΛ|ΜΑΛΛ|ΚΥΜΑΤ|ΛΑΧ|ΛΗΓ|ΦΑΓ|ΟΜ|ΠΡΩΤ)$/.test(o[1]))&&(s+="ΟΥΣ")),null!==(o=/^(.+?)(ΑΓΑ|ΑΓΕΣ|ΑΓΕ)$/.exec(s))&&(s=o[1],(/^(ΑΒΑΣΤ|ΠΟΛΥΦ|ΑΔΗΦ|ΠΑΜΦ|Ρ|ΑΣΠ|ΑΦ|ΑΜΑΛ|ΑΜΑΛΛΙ|ΑΝΥΣΤ|ΑΠΕΡ|ΑΣΠΑΡ|ΑΧΑΡ|ΔΕΡΒΕΝ|ΔΡΟΣΟΠ|ΞΕΦ|ΝΕΟΠ|ΝΟΜΟΤ|ΟΛΟΠ|ΟΜΟΤ|ΠΡΟΣΤ|ΠΡΟΣΩΠΟΠ|ΣΥΜΠ|ΣΥΝΤ|Τ|ΥΠΟΤ|ΧΑΡ|ΑΕΙΠ|ΑΙΜΟΣΤ|ΑΝΥΠ|ΑΠΟΤ|ΑΡΤΙΠ|ΔΙΑΤ|ΕΝ|ΕΠΙΤ|ΚΡΟΚΑΛΟΠ|ΣΙΔΗΡΟΠ|Λ|ΝΑΥ|ΟΥΛΑΜ|ΟΥΡ|Π|ΤΡ|Μ)$/.test(o[1])||/(ΟΦ|ΠΕΛ|ΧΟΡΤ|ΛΛ|ΣΦ|ΡΠ|ΦΡ|ΠΡ|ΛΟΧ|ΣΜΗΝ)$/.test(o[1])&&!/^(ΨΟΦ|ΝΑΥΛΟΧ)$/.test(o[1])||/(ΚΟΛΛ)$/.test(o[1]))&&(s+="ΑΓ")),null!==(o=/^(.+?)(ΗΣΕ|ΗΣΟΥ|ΗΣΑ)$/.exec(s))&&(s=o[1],/^(Ν|ΧΕΡΣΟΝ|ΔΩΔΕΚΑΝ|ΕΡΗΜΟΝ|ΜΕΓΑΛΟΝ|ΕΠΤΑΝ|Ι)$/.test(o[1])&&(s+="ΗΣ")),null!==(o=/^(.+?)(ΗΣΤΕ)$/.exec(s))&&(s=o[1],/^(ΑΣΒ|ΣΒ|ΑΧΡ|ΧΡ|ΑΠΛ|ΑΕΙΜΝ|ΔΥΣΧΡ|ΕΥΧΡ|ΚΟΙΝΟΧΡ|ΠΑΛΙΜΨ)$/.test(o[1])&&(s+="ΗΣΤ")),null!==(o=/^(.+?)(ΟΥΝΕ|ΗΣΟΥΝΕ|ΗΘΟΥΝΕ)$/.exec(s))&&(s=o[1],/^(Ν|Ρ|ΣΠΙ|ΣΤΡΑΒΟΜΟΥΤΣ|ΚΑΚΟΜΟΥΤΣ|ΕΞΩΝ)$/.test(o[1])&&(s+="ΟΥΝ")),null!==(o=/^(.+?)(ΟΥΜΕ|ΗΣΟΥΜΕ|ΗΘΟΥΜΕ)$/.exec(s))&&(s=o[1],/^(ΠΑΡΑΣΟΥΣ|Φ|Χ|ΩΡΙΟΠΛ|ΑΖ|ΑΛΛΟΣΟΥΣ|ΑΣΟΥΣ)$/.test(o[1])&&(s+="ΟΥΜ")),null!=(o=/^(.+?)(ΜΑΤΟΙ|ΜΑΤΟΥΣ|ΜΑΤΟ|ΜΑΤΑ|ΜΑΤΩΣ|ΜΑΤΩΝ|ΜΑΤΟΣ|ΜΑΤΕΣ|ΜΑΤΗ|ΜΑΤΗΣ|ΜΑΤΟΥ)$/.exec(s))&&(s=o[1]+"Μ",/^(ΓΡΑΜ)$/.test(o[1])?s+="Α":/^(ΓΕ|ΣΤΑ)$/.test(o[1])&&(s+="ΑΤ")),null!==(o=/^(.+?)(ΟΥΑ)$/.exec(s))&&(s=o[1]+"ΟΥ"),n.length===s.length&&null!==(o=/^(.+?)(Α|ΑΓΑΤΕ|ΑΓΑΝ|ΑΕΙ|ΑΜΑΙ|ΑΝ|ΑΣ|ΑΣΑΙ|ΑΤΑΙ|ΑΩ|Ε|ΕΙ|ΕΙΣ|ΕΙΤΕ|ΕΣΑΙ|ΕΣ|ΕΤΑΙ|Ι|ΙΕΜΑΙ|ΙΕΜΑΣΤΕ|ΙΕΤΑΙ|ΙΕΣΑΙ|ΙΕΣΑΣΤΕ|ΙΟΜΑΣΤΑΝ|ΙΟΜΟΥΝ|ΙΟΜΟΥΝΑ|ΙΟΝΤΑΝ|ΙΟΝΤΟΥΣΑΝ|ΙΟΣΑΣΤΑΝ|ΙΟΣΑΣΤΕ|ΙΟΣΟΥΝ|ΙΟΣΟΥΝΑ|ΙΟΤΑΝ|ΙΟΥΜΑ|ΙΟΥΜΑΣΤΕ|ΙΟΥΝΤΑΙ|ΙΟΥΝΤΑΝ|Η|ΗΔΕΣ|ΗΔΩΝ|ΗΘΕΙ|ΗΘΕΙΣ|ΗΘΕΙΤΕ|ΗΘΗΚΑΤΕ|ΗΘΗΚΑΝ|ΗΘΟΥΝ|ΗΘΩ|ΗΚΑΤΕ|ΗΚΑΝ|ΗΣ|ΗΣΑΝ|ΗΣΑΤΕ|ΗΣΕΙ|ΗΣΕΣ|ΗΣΟΥΝ|ΗΣΩ|Ο|ΟΙ|ΟΜΑΙ|ΟΜΑΣΤΑΝ|ΟΜΟΥΝ|ΟΜΟΥΝΑ|ΟΝΤΑΙ|ΟΝΤΑΝ|ΟΝΤΟΥΣΑΝ|ΟΣ|ΟΣΑΣΤΑΝ|ΟΣΑΣΤΕ|ΟΣΟΥΝ|ΟΣΟΥΝΑ|ΟΤΑΝ|ΟΥ|ΟΥΜΑΙ|ΟΥΜΑΣΤΕ|ΟΥΝ|ΟΥΝΤΑΙ|ΟΥΝΤΑΝ|ΟΥΣ|ΟΥΣΑΝ|ΟΥΣΑΤΕ|Υ||ΥΑ|ΥΣ|Ω|ΩΝ|ΟΙΣ)$/.exec(s))&&(s=o[1]),null!=(o=/^(.+?)(ΕΣΤΕΡ|ΕΣΤΑΤ|ΟΤΕΡ|ΟΤΑΤ|ΥΤΕΡ|ΥΤΑΤ|ΩΤΕΡ|ΩΤΑΤ)$/.exec(s))&&(/^(ΕΞ|ΕΣ|ΑΝ|ΚΑΤ|Κ|ΠΡ)$/.test(o[1])||(s=o[1]),/^(ΚΑ|Μ|ΕΛΕ|ΛΕ|ΔΕ)$/.test(o[1])&&(s+="ΥΤ")),s}var 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étiez étions été étée étées étés êtes".split(" ")),e.Pipeline.registerFunction(e.fr.stopWordFilter,"stopWordFilter-fr")}}); \ No newline at end of file diff --git a/assets/javascripts/lunr/min/lunr.he.min.js b/assets/javascripts/lunr/min/lunr.he.min.js new file mode 100644 index 00000000..b863d3ea --- /dev/null +++ b/assets/javascripts/lunr/min/lunr.he.min.js @@ -0,0 +1 @@ +!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.he=function(){this.pipeline.reset(),this.pipeline.add(e.he.trimmer,e.he.stopWordFilter,e.he.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.he.stemmer))},e.he.wordCharacters="֑-״א-תa-zA-Za-zA-Z0-90-9",e.he.trimmer=e.trimmerSupport.generateTrimmer(e.he.wordCharacters),e.Pipeline.registerFunction(e.he.trimmer,"trimmer-he"),e.he.stemmer=function(){var e=this;return e.result=!1,e.preRemoved=!1,e.sufRemoved=!1,e.pre={pre1:"ה ו י ת",pre2:"ב כ ל מ ש כש",pre3:"הב הכ הל המ הש בש לכ",pre4:"וב וכ ול ומ וש",pre5:"מה שה כל",pre6:"מב מכ מל ממ מש",pre7:"בה בו בי בת כה כו כי כת לה לו לי לת",pre8:"ובה ובו ובי ובת וכה וכו וכי וכת ולה ולו ולי ולת"},e.suf={suf1:"ך כ ם ן נ",suf2:"ים ות וך וכ ום ון ונ הם הן יכ יך ינ ים",suf3:"תי תך תכ תם תן תנ",suf4:"ותי ותך ותכ ותם ותן ותנ",suf5:"נו כם כן הם הן",suf6:"ונו וכם וכן והם והן",suf7:"תכם תכן תנו תהם תהן",suf8:"הוא היא הם הן אני אתה את אנו אתם אתן",suf9:"ני נו כי כו כם כן תי תך תכ תם תן",suf10:"י ך כ ם ן נ ת"},e.patterns=JSON.parse('{"hebrewPatterns": [{"pt1": [{"c": "ה", "l": 0}]}, {"pt2": [{"c": "ו", "l": 0}]}, {"pt3": [{"c": "י", "l": 0}]}, {"pt4": [{"c": "ת", "l": 0}]}, {"pt5": [{"c": "מ", "l": 0}]}, {"pt6": [{"c": "ל", "l": 0}]}, {"pt7": [{"c": "ב", "l": 0}]}, {"pt8": [{"c": "כ", "l": 0}]}, {"pt9": [{"c": "ש", "l": 0}]}, {"pt10": [{"c": "כש", "l": 0}]}, {"pt11": [{"c": "בה", "l": 0}]}, {"pt12": [{"c": "וב", "l": 0}]}, {"pt13": [{"c": "וכ", "l": 0}]}, {"pt14": [{"c": "ול", "l": 0}]}, {"pt15": [{"c": "ומ", "l": 0}]}, {"pt16": [{"c": "וש", "l": 0}]}, {"pt17": [{"c": "הב", "l": 0}]}, {"pt18": [{"c": "הכ", "l": 0}]}, {"pt19": [{"c": "הל", "l": 0}]}, {"pt20": [{"c": "המ", "l": 0}]}, {"pt21": [{"c": "הש", "l": 0}]}, {"pt22": [{"c": "מה", "l": 0}]}, {"pt23": [{"c": "שה", "l": 0}]}, {"pt24": [{"c": "כל", "l": 0}]}]}'),e.execArray=["cleanWord","removeDiacritics","removeStopWords","normalizeHebrewCharacters"],e.stem=function(){var r=0;for(e.result=!1,e.preRemoved=!1,e.sufRemoved=!1;r=0)return!0},e.normalizeHebrewCharacters=function(){return e.word=e.word.replace("ך","כ"),e.word=e.word.replace("ם","מ"),e.word=e.word.replace("ן","נ"),e.word=e.word.replace("ף","פ"),e.word=e.word.replace("ץ","צ"),!1},function(r){return"function"==typeof r.update?r.update(function(r){return e.setCurrent(r),e.stem(),e.getCurrent()}):(e.setCurrent(r),e.stem(),e.getCurrent())}}(),e.Pipeline.registerFunction(e.he.stemmer,"stemmer-he"),e.he.stopWordFilter=e.generateStopWordFilter("אבל או אולי אותו אותי אותך אותם אותן אותנו אז אחר אחרות אחרי אחריכן אחרים אחרת אי איזה איך אין איפה אל אלה אלו אם אנחנו אני אף אפשר את אתה אתכם אתכן אתם אתן באיזה באיזו בגלל בין בלבד בעבור בעזרת בכל בכן בלי במידה במקום שבו ברוב בשביל בשעה ש בתוך גם דרך הוא היא היה היי היכן היתה היתי הם הן הנה הסיבה שבגללה הרי ואילו ואת זאת זה זות יהיה יוכל יוכלו יותר מדי יכול יכולה יכולות יכולים יכל יכלה יכלו יש כאן כאשר כולם כולן כזה כי כיצד כך כל כלל כמו כן כפי כש לא לאו לאיזותך לאן לבין לה להיות להם להן לו לזה לזות לי לך לכם לכן למה למעלה למעלה מ למטה למטה מ למעט למקום שבו למרות לנו לעבר לעיכן לפיכך לפני מאד מאחורי מאיזו סיבה מאין מאיפה מבלי מבעד מדוע מה מהיכן מול מחוץ מי מידע מכאן מכל מכן מלבד מן מנין מסוגל מעט מעטים מעל מצד מקום בו מתחת מתי נגד נגר נו עד עז על עלי עליו עליה עליהם עליך עלינו עם עצמה עצמהם עצמהן עצמו עצמי עצמם עצמן עצמנו פה רק שוב של שלה שלהם שלהן שלו שלי שלך שלכה שלכם שלכן שלנו שם תהיה תחת".split(" ")),e.Pipeline.registerFunction(e.he.stopWordFilter,"stopWordFilter-he")}}); \ No newline at end of file diff --git a/assets/javascripts/lunr/min/lunr.hi.min.js b/assets/javascripts/lunr/min/lunr.hi.min.js new file mode 100644 index 00000000..7dbc4140 --- /dev/null +++ b/assets/javascripts/lunr/min/lunr.hi.min.js @@ -0,0 +1 @@ +!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.hi=function(){this.pipeline.reset(),this.pipeline.add(e.hi.trimmer,e.hi.stopWordFilter,e.hi.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.hi.stemmer))},e.hi.wordCharacters="ऀ-ःऄ-एऐ-टठ-यर-िी-ॏॐ-य़ॠ-९॰-ॿa-zA-Za-zA-Z0-90-9",e.hi.trimmer=e.trimmerSupport.generateTrimmer(e.hi.wordCharacters),e.Pipeline.registerFunction(e.hi.trimmer,"trimmer-hi"),e.hi.stopWordFilter=e.generateStopWordFilter("अत अपना अपनी अपने अभी अंदर आदि आप इत्यादि इन इनका इन्हीं इन्हें इन्हों इस इसका इसकी इसके इसमें इसी इसे उन उनका उनकी उनके उनको उन्हीं उन्हें उन्हों उस उसके उसी उसे एक एवं एस ऐसे और कई कर करता करते करना करने करें कहते कहा का काफ़ी कि कितना किन्हें किन्हों किया किर किस किसी किसे की कुछ कुल के को कोई कौन कौनसा गया घर जब जहाँ जा जितना जिन जिन्हें जिन्हों जिस जिसे जीधर जैसा जैसे जो तक तब तरह तिन तिन्हें तिन्हों तिस तिसे तो था थी थे दबारा दिया दुसरा दूसरे दो द्वारा न नके नहीं ना निहायत नीचे ने पर पहले पूरा पे फिर बनी बही बहुत बाद बाला बिलकुल भी भीतर मगर मानो मे में यदि यह यहाँ यही या यिह ये रखें रहा रहे ऱ्वासा लिए लिये लेकिन व वग़ैरह वर्ग वह वहाँ वहीं वाले वुह वे वो सकता सकते सबसे सभी साथ साबुत साभ सारा से सो संग ही हुआ हुई हुए है हैं हो होता होती होते होना होने".split(" ")),e.hi.stemmer=function(){return function(e){return"function"==typeof e.update?e.update(function(e){return e}):e}}();var r=e.wordcut;r.init(),e.hi.tokenizer=function(i){if(!arguments.length||null==i||void 0==i)return[];if(Array.isArray(i))return i.map(function(r){return isLunr2?new e.Token(r.toLowerCase()):r.toLowerCase()});var t=i.toString().toLowerCase().replace(/^\s+/,"");return r.cut(t).split("|")},e.Pipeline.registerFunction(e.hi.stemmer,"stemmer-hi"),e.Pipeline.registerFunction(e.hi.stopWordFilter,"stopWordFilter-hi")}}); \ No newline at end of file diff --git a/assets/javascripts/lunr/min/lunr.hu.min.js b/assets/javascripts/lunr/min/lunr.hu.min.js new file mode 100644 index 00000000..ed9d909f --- /dev/null +++ b/assets/javascripts/lunr/min/lunr.hu.min.js @@ -0,0 +1,18 @@ +/*! + * Lunr languages, `Hungarian` language + * https://github.com/MihaiValentin/lunr-languages + * + * Copyright 2014, Mihai Valentin + * http://www.mozilla.org/MPL/ + */ +/*! + * based on + * Snowball JavaScript Library v0.3 + * http://code.google.com/p/urim/ + * http://snowball.tartarus.org/ + * + * Copyright 2010, Oleg Mazko + * http://www.mozilla.org/MPL/ + */ + +!function(e,n){"function"==typeof define&&define.amd?define(n):"object"==typeof exports?module.exports=n():n()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.hu=function(){this.pipeline.reset(),this.pipeline.add(e.hu.trimmer,e.hu.stopWordFilter,e.hu.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.hu.stemmer))},e.hu.wordCharacters="A-Za-zªºÀ-ÖØ-öø-ʸˠ-ˤᴀ-ᴥᴬ-ᵜᵢ-ᵥᵫ-ᵷᵹ-ᶾḀ-ỿⁱⁿₐ-ₜKÅℲⅎⅠ-ↈⱠ-ⱿꜢ-ꞇꞋ-ꞭꞰ-ꞷꟷ-ꟿꬰ-ꭚꭜ-ꭤff-stA-Za-z",e.hu.trimmer=e.trimmerSupport.generateTrimmer(e.hu.wordCharacters),e.Pipeline.registerFunction(e.hu.trimmer,"trimmer-hu"),e.hu.stemmer=function(){var n=e.stemmerSupport.Among,r=e.stemmerSupport.SnowballProgram,i=new function(){function e(){var e,n=L.cursor;if(d=L.limit,L.in_grouping(W,97,252))for(;;){if(e=L.cursor,L.out_grouping(W,97,252))return L.cursor=e,L.find_among(g,8)||(L.cursor=e,e=L.limit)return void(d=e);L.cursor++}if(L.cursor=n,L.out_grouping(W,97,252)){for(;!L.in_grouping(W,97,252);){if(L.cursor>=L.limit)return;L.cursor++}d=L.cursor}}function i(){return d<=L.cursor}function a(){var 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e(),L.limit_backward=n,L.cursor=L.limit,c(),L.cursor=L.limit,o(),L.cursor=L.limit,w(),L.cursor=L.limit,l(),L.cursor=L.limit,u(),L.cursor=L.limit,k(),L.cursor=L.limit,f(),L.cursor=L.limit,b(),L.cursor=L.limit,m(),!0}};return function(e){return"function"==typeof e.update?e.update(function(e){return i.setCurrent(e),i.stem(),i.getCurrent()}):(i.setCurrent(e),i.stem(),i.getCurrent())}}(),e.Pipeline.registerFunction(e.hu.stemmer,"stemmer-hu"),e.hu.stopWordFilter=e.generateStopWordFilter("a abban ahhoz ahogy ahol aki akik akkor alatt amely amelyek amelyekben amelyeket amelyet amelynek ami amikor amit amolyan amíg annak arra arról az azok azon azonban azt aztán azután azzal azért be belül benne bár cikk cikkek cikkeket csak de e ebben eddig egy egyes egyetlen egyik egyre egyéb egész ehhez ekkor el ellen elsõ elég elõ elõször elõtt emilyen ennek erre ez ezek ezen ezt ezzel ezért fel felé hanem hiszen hogy hogyan igen ill ill. illetve ilyen ilyenkor ismét ison itt jobban jó jól kell kellett keressünk keresztül ki kívül között közül legalább legyen lehet lehetett lenne lenni lesz lett maga magát majd majd meg mellett mely melyek mert mi mikor milyen minden mindenki mindent mindig mint mintha mit mivel miért most már más másik még míg nagy nagyobb nagyon ne nekem neki nem nincs néha néhány nélkül olyan ott pedig persze rá s saját sem semmi sok sokat sokkal szemben szerint szinte számára talán tehát teljes tovább továbbá több ugyanis utolsó után utána vagy vagyis vagyok valaki valami valamint való van vannak vele vissza viszont volna volt voltak voltam voltunk által általában át én éppen és így õ õk õket össze úgy új újabb újra".split(" ")),e.Pipeline.registerFunction(e.hu.stopWordFilter,"stopWordFilter-hu")}}); \ No newline at end of file diff --git a/assets/javascripts/lunr/min/lunr.hy.min.js b/assets/javascripts/lunr/min/lunr.hy.min.js new file mode 100644 index 00000000..b37f7929 --- /dev/null +++ b/assets/javascripts/lunr/min/lunr.hy.min.js @@ -0,0 +1 @@ +!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. 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avevo avrai avranno avrebbe avrebbero avrei avremmo avremo avreste avresti avrete avrà avrò avuta avute avuti avuto c che chi ci coi col come con contro cui da dagl dagli dai dal dall dalla dalle dallo degl degli dei del dell della delle dello di dov dove e ebbe ebbero ebbi ed era erano eravamo eravate eri ero essendo faccia facciamo facciano facciate faccio facemmo facendo facesse facessero facessi facessimo faceste facesti faceva facevamo facevano facevate facevi facevo fai fanno farai faranno farebbe farebbero farei faremmo faremo fareste faresti farete farà farò fece fecero feci fosse fossero fossi fossimo foste fosti fu fui fummo furono gli ha hai hanno ho i il in io l la le lei li lo loro lui ma mi mia mie miei mio ne negl negli nei nel nell nella nelle nello noi non nostra nostre nostri nostro o per perché più quale quanta quante quanti quanto quella quelle quelli quello questa queste questi questo sarai saranno sarebbe sarebbero sarei saremmo saremo sareste saresti sarete sarà sarò se sei si sia siamo siano siate siete sono sta stai stando stanno starai staranno starebbe starebbero starei staremmo staremo stareste staresti starete starà starò stava stavamo stavano stavate stavi stavo stemmo stesse stessero stessi stessimo steste stesti stette stettero stetti stia stiamo stiano stiate sto su sua sue sugl sugli sui sul sull sulla sulle sullo suo suoi ti tra tu tua tue tuo tuoi tutti tutto un una uno vi voi vostra vostre vostri vostro è".split(" ")),e.Pipeline.registerFunction(e.it.stopWordFilter,"stopWordFilter-it")}}); \ No newline at end of file diff --git a/assets/javascripts/lunr/min/lunr.ja.min.js b/assets/javascripts/lunr/min/lunr.ja.min.js new file mode 100644 index 00000000..5f254ebe --- /dev/null +++ b/assets/javascripts/lunr/min/lunr.ja.min.js @@ -0,0 +1 @@ +!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is 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Please include / require Lunr stemmer support before this script.");var r="2"==e.version[0];e.ja=function(){this.pipeline.reset(),this.pipeline.add(e.ja.trimmer,e.ja.stopWordFilter,e.ja.stemmer),r?this.tokenizer=e.ja.tokenizer:(e.tokenizer&&(e.tokenizer=e.ja.tokenizer),this.tokenizerFn&&(this.tokenizerFn=e.ja.tokenizer))};var t=new e.TinySegmenter;e.ja.tokenizer=function(i){var n,o,s,p,a,u,m,l,c,f;if(!arguments.length||null==i||void 0==i)return[];if(Array.isArray(i))return i.map(function(t){return r?new 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")),e.Pipeline.registerFunction(e.ro.stopWordFilter,"stopWordFilter-ro")}}); \ No newline at end of file diff --git a/assets/javascripts/lunr/min/lunr.ru.min.js b/assets/javascripts/lunr/min/lunr.ru.min.js new file mode 100644 index 00000000..186cc485 --- /dev/null +++ b/assets/javascripts/lunr/min/lunr.ru.min.js @@ -0,0 +1,18 @@ +/*! + * Lunr languages, `Russian` language + * https://github.com/MihaiValentin/lunr-languages + * + * Copyright 2014, Mihai Valentin + * http://www.mozilla.org/MPL/ + */ +/*! + * based on + * Snowball JavaScript Library v0.3 + * http://code.google.com/p/urim/ + * http://snowball.tartarus.org/ + * + * Copyright 2010, Oleg Mazko + * http://www.mozilla.org/MPL/ + */ + +!function(e,n){"function"==typeof define&&define.amd?define(n):"object"==typeof exports?module.exports=n():n()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. 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http://snowball.tartarus.org/ + * + * Copyright 2010, Oleg Mazko + * http://www.mozilla.org/MPL/ + */ + +!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. 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Please include / require Lunr stemmer support before this script.");e.ta=function(){this.pipeline.reset(),this.pipeline.add(e.ta.trimmer,e.ta.stopWordFilter,e.ta.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.ta.stemmer))},e.ta.wordCharacters="஀-உஊ-ஏஐ-ஙச-ட஠-னப-யர-ஹ஺-ிீ-௉ொ-௏ௐ-௙௚-௟௠-௩௪-௯௰-௹௺-௿a-zA-Za-zA-Z0-90-9",e.ta.trimmer=e.trimmerSupport.generateTrimmer(e.ta.wordCharacters),e.Pipeline.registerFunction(e.ta.trimmer,"trimmer-ta"),e.ta.stopWordFilter=e.generateStopWordFilter("அங்கு அங்கே அது அதை அந்த அவர் அவர்கள் அவள் அவன் அவை ஆக ஆகவே ஆகையால் ஆதலால் ஆதலினால் ஆனாலும் ஆனால் இங்கு இங்கே இது இதை இந்த இப்படி இவர் இவர்கள் இவள் இவன் இவை இவ்வளவு உனக்கு உனது உன் உன்னால் எங்கு எங்கே எது எதை எந்த எப்படி எவர் எவர்கள் எவள் எவன் எவை எவ்வளவு எனக்கு எனது எனவே என் என்ன என்னால் ஏது ஏன் தனது தன்னால் தானே தான் நாங்கள் நாம் நான் நீ நீங்கள்".split(" ")),e.ta.stemmer=function(){return function(e){return"function"==typeof e.update?e.update(function(e){return e}):e}}();var t=e.wordcut;t.init(),e.ta.tokenizer=function(r){if(!arguments.length||null==r||void 0==r)return[];if(Array.isArray(r))return r.map(function(t){return isLunr2?new e.Token(t.toLowerCase()):t.toLowerCase()});var i=r.toString().toLowerCase().replace(/^\s+/,"");return t.cut(i).split("|")},e.Pipeline.registerFunction(e.ta.stemmer,"stemmer-ta"),e.Pipeline.registerFunction(e.ta.stopWordFilter,"stopWordFilter-ta")}}); \ No newline at end of file diff --git a/assets/javascripts/lunr/min/lunr.te.min.js b/assets/javascripts/lunr/min/lunr.te.min.js new file mode 100644 index 00000000..9fa7a93b --- /dev/null +++ b/assets/javascripts/lunr/min/lunr.te.min.js @@ -0,0 +1 @@ +!function(e,t){"function"==typeof define&&define.amd?define(t):"object"==typeof exports?module.exports=t():t()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.te=function(){this.pipeline.reset(),this.pipeline.add(e.te.trimmer,e.te.stopWordFilter,e.te.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.te.stemmer))},e.te.wordCharacters="ఀ-ఄఅ-ఔక-హా-ౌౕ-ౖౘ-ౚౠ-ౡౢ-ౣ౦-౯౸-౿఼ఽ్ౝ౷౤౥",e.te.trimmer=e.trimmerSupport.generateTrimmer(e.te.wordCharacters),e.Pipeline.registerFunction(e.te.trimmer,"trimmer-te"),e.te.stopWordFilter=e.generateStopWordFilter("అందరూ అందుబాటులో అడగండి అడగడం అడ్డంగా అనుగుణంగా అనుమతించు అనుమతిస్తుంది అయితే ఇప్పటికే ఉన్నారు ఎక్కడైనా ఎప్పుడు ఎవరైనా ఎవరో ఏ ఏదైనా ఏమైనప్పటికి ఒక ఒకరు కనిపిస్తాయి కాదు కూడా గా గురించి చుట్టూ చేయగలిగింది తగిన తర్వాత దాదాపు దూరంగా నిజంగా పై ప్రకారం ప్రక్కన మధ్య మరియు మరొక మళ్ళీ మాత్రమే మెచ్చుకో వద్ద వెంట వేరుగా వ్యతిరేకంగా సంబంధం".split(" ")),e.te.stemmer=function(){return function(e){return"function"==typeof e.update?e.update(function(e){return e}):e}}();var t=e.wordcut;t.init(),e.te.tokenizer=function(r){if(!arguments.length||null==r||void 0==r)return[];if(Array.isArray(r))return r.map(function(t){return isLunr2?new e.Token(t.toLowerCase()):t.toLowerCase()});var i=r.toString().toLowerCase().replace(/^\s+/,"");return t.cut(i).split("|")},e.Pipeline.registerFunction(e.te.stemmer,"stemmer-te"),e.Pipeline.registerFunction(e.te.stopWordFilter,"stopWordFilter-te")}}); \ No newline at end of file diff --git a/assets/javascripts/lunr/min/lunr.th.min.js b/assets/javascripts/lunr/min/lunr.th.min.js new file mode 100644 index 00000000..dee3aac6 --- /dev/null +++ b/assets/javascripts/lunr/min/lunr.th.min.js @@ -0,0 +1 @@ +!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");var r="2"==e.version[0];e.th=function(){this.pipeline.reset(),this.pipeline.add(e.th.trimmer),r?this.tokenizer=e.th.tokenizer:(e.tokenizer&&(e.tokenizer=e.th.tokenizer),this.tokenizerFn&&(this.tokenizerFn=e.th.tokenizer))},e.th.wordCharacters="[฀-๿]",e.th.trimmer=e.trimmerSupport.generateTrimmer(e.th.wordCharacters),e.Pipeline.registerFunction(e.th.trimmer,"trimmer-th");var t=e.wordcut;t.init(),e.th.tokenizer=function(i){if(!arguments.length||null==i||void 0==i)return[];if(Array.isArray(i))return i.map(function(t){return r?new e.Token(t):t});var n=i.toString().replace(/^\s+/,"");return t.cut(n).split("|")}}}); \ No newline at end of file diff --git a/assets/javascripts/lunr/min/lunr.tr.min.js b/assets/javascripts/lunr/min/lunr.tr.min.js new file mode 100644 index 00000000..563f6ec1 --- /dev/null +++ b/assets/javascripts/lunr/min/lunr.tr.min.js @@ -0,0 +1,18 @@ +/*! + * Lunr languages, `Turkish` language + * https://github.com/MihaiValentin/lunr-languages + * + * Copyright 2014, Mihai Valentin + * http://www.mozilla.org/MPL/ + */ +/*! + * based on + * Snowball JavaScript Library v0.3 + * http://code.google.com/p/urim/ + * http://snowball.tartarus.org/ + * + * Copyright 2010, Oleg Mazko + * http://www.mozilla.org/MPL/ + */ + +!function(r,i){"function"==typeof define&&define.amd?define(i):"object"==typeof exports?module.exports=i():i()(r.lunr)}(this,function(){return function(r){if(void 0===r)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===r.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");r.tr=function(){this.pipeline.reset(),this.pipeline.add(r.tr.trimmer,r.tr.stopWordFilter,r.tr.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(r.tr.stemmer))},r.tr.wordCharacters="A-Za-zªºÀ-ÖØ-öø-ʸˠ-ˤᴀ-ᴥᴬ-ᵜᵢ-ᵥᵫ-ᵷᵹ-ᶾḀ-ỿⁱⁿₐ-ₜKÅℲⅎⅠ-ↈⱠ-ⱿꜢ-ꞇꞋ-ꞭꞰ-ꞷꟷ-ꟿꬰ-ꭚꭜ-ꭤff-stA-Za-z",r.tr.trimmer=r.trimmerSupport.generateTrimmer(r.tr.wordCharacters),r.Pipeline.registerFunction(r.tr.trimmer,"trimmer-tr"),r.tr.stemmer=function(){var i=r.stemmerSupport.Among,e=r.stemmerSupport.SnowballProgram,n=new function(){function r(r,i,e){for(;;){var n=Dr.limit-Dr.cursor;if(Dr.in_grouping_b(r,i,e)){Dr.cursor=Dr.limit-n;break}if(Dr.cursor=Dr.limit-n,Dr.cursor<=Dr.limit_backward)return!1;Dr.cursor--}return!0}function n(){var i,e;i=Dr.limit-Dr.cursor,r(Wr,97,305);for(var 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n()&&Dr.find_among_b(ar,2)}function p(){return n()&&Dr.find_among_b(mr,4)}function g(){return n()&&Dr.find_among_b(dr,2)}function y(){return n()&&Dr.find_among_b(fr,4)}function z(){return n()&&Dr.find_among_b(br,2)}function v(){return n()&&Dr.find_among_b(wr,2)&&c()}function h(){return Dr.eq_s_b(2,"ki")}function q(){return n()&&Dr.find_among_b(_r,2)&&o()}function C(){return n()&&Dr.find_among_b(kr,4)&&c()}function P(){return n()&&Dr.find_among_b(pr,4)}function F(){return n()&&Dr.find_among_b(gr,4)&&c()}function S(){return Dr.find_among_b(yr,4)}function W(){return n()&&Dr.find_among_b(zr,2)}function L(){return n()&&Dr.find_among_b(vr,4)}function x(){return n()&&Dr.find_among_b(hr,8)}function A(){return Dr.find_among_b(qr,2)}function E(){return n()&&Dr.find_among_b(Cr,32)&&c()}function j(){return Dr.find_among_b(Pr,8)&&c()}function T(){return n()&&Dr.find_among_b(Fr,4)&&c()}function Z(){return Dr.eq_s_b(3,"ken")&&c()}function B(){var r=Dr.limit-Dr.cursor;return!(T()||(Dr.cursor=Dr.limit-r,E()||(Dr.cursor=Dr.limit-r,j()||(Dr.cursor=Dr.limit-r,Z()))))}function D(){if(A()){var r=Dr.limit-Dr.cursor;if(S()||(Dr.cursor=Dr.limit-r,W()||(Dr.cursor=Dr.limit-r,C()||(Dr.cursor=Dr.limit-r,P()||(Dr.cursor=Dr.limit-r,F()||(Dr.cursor=Dr.limit-r))))),T())return!1}return!0}function G(){if(W()){Dr.bra=Dr.cursor,Dr.slice_del();var r=Dr.limit-Dr.cursor;return Dr.ket=Dr.cursor,x()||(Dr.cursor=Dr.limit-r,E()||(Dr.cursor=Dr.limit-r,j()||(Dr.cursor=Dr.limit-r,T()||(Dr.cursor=Dr.limit-r)))),nr=!1,!1}return!0}function H(){if(!L())return!0;var r=Dr.limit-Dr.cursor;return!E()&&(Dr.cursor=Dr.limit-r,!j())}function I(){var r,i=Dr.limit-Dr.cursor;return!(S()||(Dr.cursor=Dr.limit-i,F()||(Dr.cursor=Dr.limit-i,P()||(Dr.cursor=Dr.limit-i,C()))))||(Dr.bra=Dr.cursor,Dr.slice_del(),r=Dr.limit-Dr.cursor,Dr.ket=Dr.cursor,T()||(Dr.cursor=Dr.limit-r),!1)}function J(){var 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r,i,e=Dr.limit-Dr.cursor;if(Dr.ket=Dr.cursor,!p()&&(Dr.cursor=Dr.limit-e,!f()&&(Dr.cursor=Dr.limit-e,!_())))return!1;if(Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,r=Dr.limit-Dr.cursor,a())Dr.bra=Dr.cursor,Dr.slice_del(),i=Dr.limit-Dr.cursor,Dr.ket=Dr.cursor,W()||(Dr.cursor=Dr.limit-i);else if(Dr.cursor=Dr.limit-r,!W())return!0;return Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,K(),!0}function R(){var r,i,e=Dr.limit-Dr.cursor;if(Dr.ket=Dr.cursor,W())return Dr.bra=Dr.cursor,Dr.slice_del(),void K();if(Dr.cursor=Dr.limit-e,Dr.ket=Dr.cursor,q())if(Dr.bra=Dr.cursor,Dr.slice_del(),r=Dr.limit-Dr.cursor,Dr.ket=Dr.cursor,d())Dr.bra=Dr.cursor,Dr.slice_del();else{if(Dr.cursor=Dr.limit-r,Dr.ket=Dr.cursor,!a()&&(Dr.cursor=Dr.limit-r,!m())){if(Dr.cursor=Dr.limit-r,Dr.ket=Dr.cursor,!W())return;if(Dr.bra=Dr.cursor,Dr.slice_del(),!K())return}Dr.bra=Dr.cursor,Dr.slice_del(),Dr.ket=Dr.cursor,W()&&(Dr.bra=Dr.cursor,Dr.slice_del(),K())}else 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Register as an anonymous module. + define(factory) + } else if (typeof exports === 'object') { + /** + * Node. Does not work with strict CommonJS, but + * only CommonJS-like environments that support module.exports, + * like Node. + */ + module.exports = factory() + } else { + // Browser globals (root is window) + factory()(root.lunr); + } +}(this, function () { + /** + * Just return a value to define the module export. + * This example returns an object, but the module + * can return a function as the exported value. + */ + + return function(lunr) { + // TinySegmenter 0.1 -- Super compact Japanese tokenizer in Javascript + // (c) 2008 Taku Kudo + // TinySegmenter is freely distributable under the terms of a new BSD licence. + // For details, see http://chasen.org/~taku/software/TinySegmenter/LICENCE.txt + + function TinySegmenter() { + var patterns = { + "[一二三四五六七八九十百千万億兆]":"M", + "[一-龠々〆ヵヶ]":"H", + "[ぁ-ん]":"I", + "[ァ-ヴーア-ン゙ー]":"K", + "[a-zA-Za-zA-Z]":"A", + "[0-90-9]":"N" + } + this.chartype_ = []; + for (var i in patterns) { + var regexp = new RegExp(i); + this.chartype_.push([regexp, patterns[i]]); + } + + this.BIAS__ = -332 + this.BC1__ = {"HH":6,"II":2461,"KH":406,"OH":-1378}; + this.BC2__ = {"AA":-3267,"AI":2744,"AN":-878,"HH":-4070,"HM":-1711,"HN":4012,"HO":3761,"IA":1327,"IH":-1184,"II":-1332,"IK":1721,"IO":5492,"KI":3831,"KK":-8741,"MH":-3132,"MK":3334,"OO":-2920}; + this.BC3__ = {"HH":996,"HI":626,"HK":-721,"HN":-1307,"HO":-836,"IH":-301,"KK":2762,"MK":1079,"MM":4034,"OA":-1652,"OH":266}; + this.BP1__ = {"BB":295,"OB":304,"OO":-125,"UB":352}; + this.BP2__ = {"BO":60,"OO":-1762}; + this.BQ1__ = {"BHH":1150,"BHM":1521,"BII":-1158,"BIM":886,"BMH":1208,"BNH":449,"BOH":-91,"BOO":-2597,"OHI":451,"OIH":-296,"OKA":1851,"OKH":-1020,"OKK":904,"OOO":2965}; + this.BQ2__ = {"BHH":118,"BHI":-1159,"BHM":466,"BIH":-919,"BKK":-1720,"BKO":864,"OHH":-1139,"OHM":-181,"OIH":153,"UHI":-1146}; + this.BQ3__ = {"BHH":-792,"BHI":2664,"BII":-299,"BKI":419,"BMH":937,"BMM":8335,"BNN":998,"BOH":775,"OHH":2174,"OHM":439,"OII":280,"OKH":1798,"OKI":-793,"OKO":-2242,"OMH":-2402,"OOO":11699}; + this.BQ4__ = {"BHH":-3895,"BIH":3761,"BII":-4654,"BIK":1348,"BKK":-1806,"BMI":-3385,"BOO":-12396,"OAH":926,"OHH":266,"OHK":-2036,"ONN":-973}; 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+ score += this.ts_(this.UC6__[c6]); + score += this.ts_(this.BC1__[c2 + c3]); + score += this.ts_(this.BC2__[c3 + c4]); + score += this.ts_(this.BC3__[c4 + c5]); + score += this.ts_(this.TC1__[c1 + c2 + c3]); + score += this.ts_(this.TC2__[c2 + c3 + c4]); + score += this.ts_(this.TC3__[c3 + c4 + c5]); + score += this.ts_(this.TC4__[c4 + c5 + c6]); + // score += this.ts_(this.TC5__[c4 + c5 + c6]); + score += this.ts_(this.UQ1__[p1 + c1]); + score += this.ts_(this.UQ2__[p2 + c2]); + score += this.ts_(this.UQ3__[p3 + c3]); + score += this.ts_(this.BQ1__[p2 + c2 + c3]); + score += this.ts_(this.BQ2__[p2 + c3 + c4]); + score += this.ts_(this.BQ3__[p3 + c2 + c3]); + score += this.ts_(this.BQ4__[p3 + c3 + c4]); + score += this.ts_(this.TQ1__[p2 + c1 + c2 + c3]); + score += this.ts_(this.TQ2__[p2 + c2 + c3 + c4]); + score += this.ts_(this.TQ3__[p3 + c1 + c2 + c3]); + score += this.ts_(this.TQ4__[p3 + c2 + c3 + c4]); + var p = "O"; + if (score > 0) { + result.push(word); + word = ""; + p = "B"; + } + p1 = p2; + p2 = p3; + p3 = p; + word += seg[i]; + } + result.push(word); + + return result; + } + + lunr.TinySegmenter = TinySegmenter; + }; + +})); \ No newline at end of file diff --git a/assets/javascripts/lunr/wordcut.js b/assets/javascripts/lunr/wordcut.js new file mode 100644 index 00000000..0d898c9e --- /dev/null +++ b/assets/javascripts/lunr/wordcut.js @@ -0,0 +1,6708 @@ +(function(f){if(typeof exports==="object"&&typeof module!=="undefined"){module.exports=f()}else if(typeof define==="function"&&define.amd){define([],f)}else{var g;if(typeof window!=="undefined"){g=window}else if(typeof global!=="undefined"){g=global}else if(typeof self!=="undefined"){g=self}else{g=this}(g.lunr || (g.lunr = {})).wordcut = f()}})(function(){var define,module,exports;return (function e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof require=="function"&&require;if(!u&&a)return a(o,!0);if(i)return i(o,!0);var f=new Error("Cannot find module '"+o+"'");throw f.code="MODULE_NOT_FOUND",f}var l=n[o]={exports:{}};t[o][0].call(l.exports,function(e){var n=t[o][1][e];return s(n?n:e)},l,l.exports,e,t,n,r)}return n[o].exports}var i=typeof require=="function"&&require;for(var o=0;o 1; + }) + this.addWords(words, false) + } + if(finalize){ + this.finalizeDict(); + } + }, + + dictSeek: function (l, r, ch, strOffset, pos) { + var ans = null; + while (l <= r) { + var m = Math.floor((l + r) / 2), + dict_item = this.dict[m], + len = dict_item.length; + if (len <= strOffset) { + l = m + 1; + } else { + var ch_ = dict_item[strOffset]; + if (ch_ < ch) { + l = m + 1; + } else if (ch_ > ch) { + r = m - 1; + } else { + ans = m; + if (pos == LEFT) { + r = m - 1; + } else { + l = m + 1; + } + } + } + } + return ans; + }, + + isFinal: function (acceptor) { + return this.dict[acceptor.l].length == acceptor.strOffset; + }, + + createAcceptor: function () { + return { + l: 0, + r: this.dict.length - 1, + strOffset: 0, + isFinal: false, + dict: this, + transit: function (ch) { + return this.dict.transit(this, ch); + }, + isError: false, + tag: "DICT", + w: 1, + type: "DICT" + }; + }, + + transit: function (acceptor, ch) { + var l = this.dictSeek(acceptor.l, + acceptor.r, + ch, + acceptor.strOffset, + LEFT); + if (l !== null) { + var r = this.dictSeek(l, + acceptor.r, + ch, + acceptor.strOffset, + RIGHT); + acceptor.l = l; + acceptor.r = r; + acceptor.strOffset++; + acceptor.isFinal = this.isFinal(acceptor); + } else { + acceptor.isError = true; + } + return acceptor; + }, + + sortuniq: function(a){ + return a.sort().filter(function(item, pos, arr){ + return !pos || item != arr[pos - 1]; + }) + }, + + flatten: function(a){ + //[[1,2],[3]] -> [1,2,3] + return [].concat.apply([], a); + } +}; +module.exports = WordcutDict; + +}).call(this,"/dist/tmp") +},{"glob":16,"path":22}],3:[function(require,module,exports){ +var WordRule = { + createAcceptor: function(tag) { + if (tag["WORD_RULE"]) + return null; + + return {strOffset: 0, + isFinal: false, + transit: function(ch) { + var lch = ch.toLowerCase(); + if (lch >= "a" && lch <= "z") { + this.isFinal = true; + this.strOffset++; + } else { + this.isError = true; + } + return this; + }, + isError: false, + tag: "WORD_RULE", + type: "WORD_RULE", + w: 1}; + } +}; + +var NumberRule = { + createAcceptor: function(tag) { + if (tag["NUMBER_RULE"]) + return null; + + return {strOffset: 0, + isFinal: false, + transit: function(ch) { + if (ch >= "0" && ch <= "9") { + this.isFinal = true; + this.strOffset++; + } else { + this.isError = true; + } + return this; + }, + isError: false, + tag: "NUMBER_RULE", + type: "NUMBER_RULE", + w: 1}; + } +}; + +var SpaceRule = { + tag: "SPACE_RULE", + createAcceptor: function(tag) { + + if (tag["SPACE_RULE"]) + return null; + + return {strOffset: 0, + isFinal: false, + transit: function(ch) { + if (ch == " " || ch == "\t" || ch == "\r" || ch == "\n" || + ch == "\u00A0" || ch=="\u2003"//nbsp and emsp + ) { + this.isFinal = true; + this.strOffset++; + } else { + this.isError = true; + } + return this; + }, + isError: false, + tag: SpaceRule.tag, + w: 1, + type: "SPACE_RULE"}; + } +} + +var SingleSymbolRule = { + tag: "SINSYM", + createAcceptor: function(tag) { + return {strOffset: 0, + isFinal: false, + transit: function(ch) { + if (this.strOffset == 0 && ch.match(/^[\@\(\)\/\,\-\."`]$/)) { + this.isFinal = true; + this.strOffset++; + } else { + this.isError = true; + } + return this; + }, + isError: false, + tag: "SINSYM", + w: 1, + type: "SINSYM"}; + } +} + + +var LatinRules = [WordRule, SpaceRule, SingleSymbolRule, NumberRule]; + +module.exports = LatinRules; + +},{}],4:[function(require,module,exports){ +var _ = require("underscore") + , WordcutCore = require("./wordcut_core"); +var PathInfoBuilder = { + + /* + buildByPartAcceptors: function(path, acceptors, i) { + var + var genInfos = partAcceptors.reduce(function(genInfos, acceptor) { + + }, []); + + return genInfos; + } + */ + + buildByAcceptors: function(path, finalAcceptors, i) { + var self = this; + var infos = finalAcceptors.map(function(acceptor) { + var p = i - acceptor.strOffset + 1 + , _info = path[p]; + + var info = {p: p, + mw: _info.mw + (acceptor.mw === undefined ? 0 : acceptor.mw), + w: acceptor.w + _info.w, + unk: (acceptor.unk ? acceptor.unk : 0) + _info.unk, + type: acceptor.type}; + + if (acceptor.type == "PART") { + for(var j = p + 1; j <= i; j++) { + path[j].merge = p; + } + info.merge = p; + } + + return info; + }); + return infos.filter(function(info) { return info; }); + }, + + fallback: function(path, leftBoundary, text, i) { + var _info = path[leftBoundary]; + if (text[i].match(/[\u0E48-\u0E4E]/)) { + if (leftBoundary != 0) + leftBoundary = path[leftBoundary].p; + return {p: leftBoundary, + mw: 0, + w: 1 + _info.w, + unk: 1 + _info.unk, + type: "UNK"}; +/* } else if(leftBoundary > 0 && path[leftBoundary].type !== "UNK") { + leftBoundary = path[leftBoundary].p; + return {p: leftBoundary, + w: 1 + _info.w, + unk: 1 + _info.unk, + type: "UNK"}; */ + } else { + return {p: leftBoundary, + mw: _info.mw, + w: 1 + _info.w, + unk: 1 + _info.unk, + type: "UNK"}; + } + }, + + build: function(path, finalAcceptors, i, leftBoundary, text) { + var basicPathInfos = this.buildByAcceptors(path, finalAcceptors, i); + if (basicPathInfos.length > 0) { + return basicPathInfos; + } else { + return [this.fallback(path, leftBoundary, text, i)]; + } + } +}; + +module.exports = function() { + return _.clone(PathInfoBuilder); +} + +},{"./wordcut_core":8,"underscore":25}],5:[function(require,module,exports){ +var _ = require("underscore"); + + +var PathSelector = { + selectPath: function(paths) { + var path = paths.reduce(function(selectedPath, path) { + if (selectedPath == null) { + return path; + } else { + if (path.unk < selectedPath.unk) + return path; + if (path.unk == selectedPath.unk) { + if (path.mw < selectedPath.mw) + return path + if (path.mw == selectedPath.mw) { + if (path.w < selectedPath.w) + return path; + } + } + return selectedPath; + } + }, null); + return path; + }, + + createPath: function() { + return [{p:null, w:0, unk:0, type: "INIT", mw:0}]; + } +}; + +module.exports = function() { + return _.clone(PathSelector); +}; + +},{"underscore":25}],6:[function(require,module,exports){ +function isMatch(pat, offset, ch) { + if (pat.length <= offset) + return false; + var _ch = pat[offset]; + return _ch == ch || + (_ch.match(/[กข]/) && ch.match(/[ก-ฮ]/)) || + (_ch.match(/[มบ]/) && ch.match(/[ก-ฮ]/)) || + (_ch.match(/\u0E49/) && ch.match(/[\u0E48-\u0E4B]/)); +} + +var Rule0 = { + pat: "เหก็ม", + createAcceptor: function(tag) { + return {strOffset: 0, + isFinal: false, + transit: function(ch) { + if (isMatch(Rule0.pat, this.strOffset,ch)) { + this.isFinal = (this.strOffset + 1 == Rule0.pat.length); + this.strOffset++; + } else { + this.isError = true; + } + return this; + }, + isError: false, + tag: "THAI_RULE", + type: "THAI_RULE", + w: 1}; + } +}; + +var PartRule = { + createAcceptor: function(tag) { + return {strOffset: 0, + patterns: [ + "แก", "เก", "ก้", "กก์", "กา", "กี", "กิ", "กืก" + ], + isFinal: false, + transit: function(ch) { + var offset = this.strOffset; + this.patterns = this.patterns.filter(function(pat) { + return isMatch(pat, offset, ch); + }); + + if (this.patterns.length > 0) { + var len = 1 + offset; + this.isFinal = this.patterns.some(function(pat) { + return pat.length == len; + }); + this.strOffset++; + } else { + this.isError = true; + } + return this; + }, + isError: false, + tag: "PART", + type: "PART", + unk: 1, + w: 1}; + } +}; + +var ThaiRules = [Rule0, PartRule]; + +module.exports = ThaiRules; + +},{}],7:[function(require,module,exports){ +var sys = require("sys") + , WordcutDict = require("./dict") + , WordcutCore = require("./wordcut_core") + , PathInfoBuilder = require("./path_info_builder") + , PathSelector = require("./path_selector") + , Acceptors = require("./acceptors") + , latinRules = require("./latin_rules") + , thaiRules = require("./thai_rules") + , _ = require("underscore"); + + +var Wordcut = Object.create(WordcutCore); +Wordcut.defaultPathInfoBuilder = PathInfoBuilder; +Wordcut.defaultPathSelector = PathSelector; +Wordcut.defaultAcceptors = Acceptors; +Wordcut.defaultLatinRules = latinRules; +Wordcut.defaultThaiRules = thaiRules; +Wordcut.defaultDict = WordcutDict; + + +Wordcut.initNoDict = function(dict_path) { + var self = this; + self.pathInfoBuilder = new self.defaultPathInfoBuilder; + self.pathSelector = new self.defaultPathSelector; + self.acceptors = new self.defaultAcceptors; + self.defaultLatinRules.forEach(function(rule) { + self.acceptors.creators.push(rule); + }); + self.defaultThaiRules.forEach(function(rule) { + self.acceptors.creators.push(rule); + }); +}; + +Wordcut.init = function(dict_path, withDefault, additionalWords) { + withDefault = withDefault || false; + this.initNoDict(); + var dict = _.clone(this.defaultDict); + dict.init(dict_path, withDefault, additionalWords); + this.acceptors.creators.push(dict); +}; + +module.exports = Wordcut; + +},{"./acceptors":1,"./dict":2,"./latin_rules":3,"./path_info_builder":4,"./path_selector":5,"./thai_rules":6,"./wordcut_core":8,"sys":28,"underscore":25}],8:[function(require,module,exports){ +var WordcutCore = { + + buildPath: function(text) { + var self = this + , path = self.pathSelector.createPath() + , leftBoundary = 0; + self.acceptors.reset(); + for (var i = 0; i < text.length; i++) { + var ch = text[i]; + self.acceptors.transit(ch); + + var possiblePathInfos = self + .pathInfoBuilder + .build(path, + self.acceptors.getFinalAcceptors(), + i, + leftBoundary, + text); + var selectedPath = self.pathSelector.selectPath(possiblePathInfos) + + path.push(selectedPath); + if (selectedPath.type !== "UNK") { + leftBoundary = i; + } + } + return path; + }, + + pathToRanges: function(path) { + var e = path.length - 1 + , ranges = []; + + while (e > 0) { + var info = path[e] + , s = info.p; + + if (info.merge !== undefined && ranges.length > 0) { + var r = ranges[ranges.length - 1]; + r.s = info.merge; + s = r.s; + } else { + ranges.push({s:s, e:e}); + } + e = s; + } + return ranges.reverse(); + }, + + rangesToText: function(text, ranges, delimiter) { + return ranges.map(function(r) { + return text.substring(r.s, r.e); + }).join(delimiter); + }, + + cut: function(text, delimiter) { + var path = this.buildPath(text) + , ranges = this.pathToRanges(path); + return this + .rangesToText(text, ranges, + (delimiter === undefined ? "|" : delimiter)); + }, + + cutIntoRanges: function(text, noText) { + var path = this.buildPath(text) + , ranges = this.pathToRanges(path); + + if (!noText) { + ranges.forEach(function(r) { + r.text = text.substring(r.s, r.e); + }); + } + return ranges; + }, + + cutIntoArray: function(text) { + var path = this.buildPath(text) + , ranges = this.pathToRanges(path); + + return ranges.map(function(r) { + return text.substring(r.s, r.e) + }); + } +}; + +module.exports = WordcutCore; + +},{}],9:[function(require,module,exports){ +// http://wiki.commonjs.org/wiki/Unit_Testing/1.0 +// +// THIS IS NOT TESTED NOR LIKELY TO WORK OUTSIDE V8! +// +// Originally from narwhal.js (http://narwhaljs.org) +// Copyright (c) 2009 Thomas Robinson <280north.com> +// +// Permission is hereby granted, free of charge, to any person obtaining a copy +// of this software and associated documentation files (the 'Software'), to +// deal in the Software without restriction, including without limitation the +// rights to use, copy, modify, merge, publish, distribute, sublicense, and/or +// sell copies of the Software, and to permit persons to whom the Software is +// furnished to do so, subject to the following conditions: +// +// The above copyright notice and this permission notice shall be included in +// all copies or substantial portions of the Software. +// +// THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +// AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN +// ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION +// WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + +// when used in node, this will actually load the util module we depend on +// versus loading the builtin util module as happens otherwise +// this is a bug in node module loading as far as I am concerned +var util = require('util/'); + +var pSlice = Array.prototype.slice; +var hasOwn = Object.prototype.hasOwnProperty; + +// 1. The assert module provides functions that throw +// AssertionError's when particular conditions are not met. The +// assert module must conform to the following interface. + +var assert = module.exports = ok; + +// 2. The AssertionError is defined in assert. +// new assert.AssertionError({ message: message, +// actual: actual, +// expected: expected }) + +assert.AssertionError = function AssertionError(options) { + this.name = 'AssertionError'; + this.actual = options.actual; + this.expected = options.expected; + this.operator = options.operator; + if (options.message) { + this.message = options.message; + this.generatedMessage = false; + } else { + this.message = getMessage(this); + this.generatedMessage = true; + } + var stackStartFunction = options.stackStartFunction || fail; + + if (Error.captureStackTrace) { + Error.captureStackTrace(this, stackStartFunction); + } + else { + // non v8 browsers so we can have a stacktrace + var err = new Error(); + if (err.stack) { + var out = err.stack; + + // try to strip useless frames + var fn_name = stackStartFunction.name; + var idx = out.indexOf('\n' + fn_name); + if (idx >= 0) { + // once we have located the function frame + // we need to strip out everything before it (and its line) + var next_line = out.indexOf('\n', idx + 1); + out = out.substring(next_line + 1); + } + + this.stack = out; + } + } +}; + +// assert.AssertionError instanceof Error +util.inherits(assert.AssertionError, Error); + +function replacer(key, value) { + if (util.isUndefined(value)) { + return '' + value; + } + if (util.isNumber(value) && !isFinite(value)) { + return value.toString(); + } + if (util.isFunction(value) || util.isRegExp(value)) { + return value.toString(); + } + return value; +} + +function truncate(s, n) { + if (util.isString(s)) { + return s.length < n ? s : s.slice(0, n); + } else { + return s; + } +} + +function getMessage(self) { + return truncate(JSON.stringify(self.actual, replacer), 128) + ' ' + + self.operator + ' ' + + truncate(JSON.stringify(self.expected, replacer), 128); +} + +// At present only the three keys mentioned above are used and +// understood by the spec. Implementations or sub modules can pass +// other keys to the AssertionError's constructor - they will be +// ignored. + +// 3. All of the following functions must throw an AssertionError +// when a corresponding condition is not met, with a message that +// may be undefined if not provided. All assertion methods provide +// both the actual and expected values to the assertion error for +// display purposes. + +function fail(actual, expected, message, operator, stackStartFunction) { + throw new assert.AssertionError({ + message: message, + actual: actual, + expected: expected, + operator: operator, + stackStartFunction: stackStartFunction + }); +} + +// EXTENSION! allows for well behaved errors defined elsewhere. +assert.fail = fail; + +// 4. Pure assertion tests whether a value is truthy, as determined +// by !!guard. +// assert.ok(guard, message_opt); +// This statement is equivalent to assert.equal(true, !!guard, +// message_opt);. To test strictly for the value true, use +// assert.strictEqual(true, guard, message_opt);. + +function ok(value, message) { + if (!value) fail(value, true, message, '==', assert.ok); +} +assert.ok = ok; + +// 5. The equality assertion tests shallow, coercive equality with +// ==. +// assert.equal(actual, expected, message_opt); + +assert.equal = function equal(actual, expected, message) { + if (actual != expected) fail(actual, expected, message, '==', assert.equal); +}; + +// 6. The non-equality assertion tests for whether two objects are not equal +// with != assert.notEqual(actual, expected, message_opt); + +assert.notEqual = function notEqual(actual, expected, message) { + if (actual == expected) { + fail(actual, expected, message, '!=', assert.notEqual); + } +}; + +// 7. The equivalence assertion tests a deep equality relation. +// assert.deepEqual(actual, expected, message_opt); + +assert.deepEqual = function deepEqual(actual, expected, message) { + if (!_deepEqual(actual, expected)) { + fail(actual, expected, message, 'deepEqual', assert.deepEqual); + } +}; + +function _deepEqual(actual, expected) { + // 7.1. All identical values are equivalent, as determined by ===. + if (actual === expected) { + return true; + + } else if (util.isBuffer(actual) && util.isBuffer(expected)) { + if (actual.length != expected.length) return false; + + for (var i = 0; i < actual.length; i++) { + if (actual[i] !== expected[i]) return false; + } + + return true; + + // 7.2. If the expected value is a Date object, the actual value is + // equivalent if it is also a Date object that refers to the same time. + } else if (util.isDate(actual) && util.isDate(expected)) { + return actual.getTime() === expected.getTime(); + + // 7.3 If the expected value is a RegExp object, the actual value is + // equivalent if it is also a RegExp object with the same source and + // properties (`global`, `multiline`, `lastIndex`, `ignoreCase`). + } else if (util.isRegExp(actual) && util.isRegExp(expected)) { + return actual.source === expected.source && + actual.global === expected.global && + actual.multiline === expected.multiline && + actual.lastIndex === expected.lastIndex && + actual.ignoreCase === expected.ignoreCase; + + // 7.4. Other pairs that do not both pass typeof value == 'object', + // equivalence is determined by ==. + } else if (!util.isObject(actual) && !util.isObject(expected)) { + return actual == expected; + + // 7.5 For all other Object pairs, including Array objects, equivalence is + // determined by having the same number of owned properties (as verified + // with Object.prototype.hasOwnProperty.call), the same set of keys + // (although not necessarily the same order), equivalent values for every + // corresponding key, and an identical 'prototype' property. Note: this + // accounts for both named and indexed properties on Arrays. + } else { + return objEquiv(actual, expected); + } +} + +function isArguments(object) { + return Object.prototype.toString.call(object) == '[object Arguments]'; +} + +function objEquiv(a, b) { + if (util.isNullOrUndefined(a) || util.isNullOrUndefined(b)) + return false; + // an identical 'prototype' property. + if (a.prototype !== b.prototype) return false; + // if one is a primitive, the other must be same + if (util.isPrimitive(a) || util.isPrimitive(b)) { + return a === b; + } + var aIsArgs = isArguments(a), + bIsArgs = isArguments(b); + if ((aIsArgs && !bIsArgs) || (!aIsArgs && bIsArgs)) + return false; + if (aIsArgs) { + a = pSlice.call(a); + b = pSlice.call(b); + return _deepEqual(a, b); + } + var ka = objectKeys(a), + kb = objectKeys(b), + key, i; + // having the same number of owned properties (keys incorporates + // hasOwnProperty) + if (ka.length != kb.length) + return false; + //the same set of keys (although not necessarily the same order), + ka.sort(); + kb.sort(); + //~~~cheap key test + for (i = ka.length - 1; i >= 0; i--) { + if (ka[i] != kb[i]) + return false; + } + //equivalent values for every corresponding key, and + //~~~possibly expensive deep test + for (i = ka.length - 1; i >= 0; i--) { + key = ka[i]; + if (!_deepEqual(a[key], b[key])) return false; + } + return true; +} + +// 8. The non-equivalence assertion tests for any deep inequality. +// assert.notDeepEqual(actual, expected, message_opt); + +assert.notDeepEqual = function notDeepEqual(actual, expected, message) { + if (_deepEqual(actual, expected)) { + fail(actual, expected, message, 'notDeepEqual', assert.notDeepEqual); + } +}; + +// 9. The strict equality assertion tests strict equality, as determined by ===. +// assert.strictEqual(actual, expected, message_opt); + +assert.strictEqual = function strictEqual(actual, expected, message) { + if (actual !== expected) { + fail(actual, expected, message, '===', assert.strictEqual); + } +}; + +// 10. The strict non-equality assertion tests for strict inequality, as +// determined by !==. assert.notStrictEqual(actual, expected, message_opt); + +assert.notStrictEqual = function notStrictEqual(actual, expected, message) { + if (actual === expected) { + fail(actual, expected, message, '!==', assert.notStrictEqual); + } +}; + +function expectedException(actual, expected) { + if (!actual || !expected) { + return false; + } + + if (Object.prototype.toString.call(expected) == '[object RegExp]') { + return expected.test(actual); + } else if (actual instanceof expected) { + return true; + } else if (expected.call({}, actual) === true) { + return true; + } + + return false; +} + +function _throws(shouldThrow, block, expected, message) { + var actual; + + if (util.isString(expected)) { + message = expected; + expected = null; + } + + try { + block(); + } catch (e) { + actual = e; + } + + message = (expected && expected.name ? ' (' + expected.name + ').' : '.') + + (message ? ' ' + message : '.'); + + if (shouldThrow && !actual) { + fail(actual, expected, 'Missing expected exception' + message); + } + + if (!shouldThrow && expectedException(actual, expected)) { + fail(actual, expected, 'Got unwanted exception' + message); + } + + if ((shouldThrow && actual && expected && + !expectedException(actual, expected)) || (!shouldThrow && actual)) { + throw actual; + } +} + +// 11. Expected to throw an error: +// assert.throws(block, Error_opt, message_opt); + +assert.throws = function(block, /*optional*/error, /*optional*/message) { + _throws.apply(this, [true].concat(pSlice.call(arguments))); +}; + +// EXTENSION! This is annoying to write outside this module. +assert.doesNotThrow = function(block, /*optional*/message) { + _throws.apply(this, [false].concat(pSlice.call(arguments))); +}; + +assert.ifError = function(err) { if (err) {throw err;}}; + +var objectKeys = Object.keys || function (obj) { + var keys = []; + for (var key in obj) { + if (hasOwn.call(obj, key)) keys.push(key); + } + return keys; +}; + +},{"util/":28}],10:[function(require,module,exports){ +'use strict'; +module.exports = balanced; +function balanced(a, b, str) { + if (a instanceof RegExp) a = maybeMatch(a, str); + if (b instanceof RegExp) b = maybeMatch(b, str); + + var r = range(a, b, str); + + return r && { + start: r[0], + end: r[1], + pre: str.slice(0, r[0]), + body: str.slice(r[0] + a.length, r[1]), + post: str.slice(r[1] + b.length) + }; +} + +function maybeMatch(reg, str) { + var m = str.match(reg); + return m ? m[0] : null; +} + +balanced.range = range; +function range(a, b, str) { + var begs, beg, left, right, result; + var ai = str.indexOf(a); + var bi = str.indexOf(b, ai + 1); + var i = ai; + + if (ai >= 0 && bi > 0) { + begs = []; + left = str.length; + + while (i >= 0 && !result) { + if (i == ai) { + begs.push(i); + ai = str.indexOf(a, i + 1); + } else if (begs.length == 1) { + result = [ begs.pop(), bi ]; + } else { + beg = begs.pop(); + if (beg < left) { + left = beg; + right = bi; + } + + bi = str.indexOf(b, i + 1); + } + + i = ai < bi && ai >= 0 ? ai : bi; + } + + if (begs.length) { + result = [ left, right ]; + } + } + + return result; +} + +},{}],11:[function(require,module,exports){ +var concatMap = require('concat-map'); +var balanced = require('balanced-match'); + +module.exports = expandTop; + +var escSlash = '\0SLASH'+Math.random()+'\0'; +var escOpen = '\0OPEN'+Math.random()+'\0'; +var escClose = '\0CLOSE'+Math.random()+'\0'; +var escComma = '\0COMMA'+Math.random()+'\0'; +var escPeriod = '\0PERIOD'+Math.random()+'\0'; + +function numeric(str) { + return parseInt(str, 10) == str + ? parseInt(str, 10) + : str.charCodeAt(0); +} + +function escapeBraces(str) { + return str.split('\\\\').join(escSlash) + .split('\\{').join(escOpen) + .split('\\}').join(escClose) + .split('\\,').join(escComma) + .split('\\.').join(escPeriod); +} + +function unescapeBraces(str) { + return str.split(escSlash).join('\\') + .split(escOpen).join('{') + .split(escClose).join('}') + .split(escComma).join(',') + .split(escPeriod).join('.'); +} + + +// Basically just str.split(","), but handling cases +// where we have nested braced sections, which should be +// treated as individual members, like {a,{b,c},d} +function parseCommaParts(str) { + if (!str) + return ['']; + + var parts = []; + var m = balanced('{', '}', str); + + if (!m) + return str.split(','); + + var pre = m.pre; + var body = m.body; + var post = m.post; + var p = pre.split(','); + + p[p.length-1] += '{' + body + '}'; + var postParts = parseCommaParts(post); + if (post.length) { + p[p.length-1] += postParts.shift(); + p.push.apply(p, postParts); + } + + parts.push.apply(parts, p); + + return parts; +} + +function expandTop(str) { + if (!str) + return []; + + // I don't know why Bash 4.3 does this, but it does. + // Anything starting with {} will have the first two bytes preserved + // but *only* at the top level, so {},a}b will not expand to anything, + // but a{},b}c will be expanded to [a}c,abc]. + // One could argue that this is a bug in Bash, but since the goal of + // this module is to match Bash's rules, we escape a leading {} + if (str.substr(0, 2) === '{}') { + str = '\\{\\}' + str.substr(2); + } + + return expand(escapeBraces(str), true).map(unescapeBraces); +} + +function identity(e) { + return e; +} + +function embrace(str) { + return '{' + str + '}'; +} +function isPadded(el) { + return /^-?0\d/.test(el); +} + +function lte(i, y) { + return i <= y; +} +function gte(i, y) { + return i >= y; +} + +function expand(str, isTop) { + var expansions = []; + + var m = balanced('{', '}', str); + if (!m || /\$$/.test(m.pre)) return [str]; + + var isNumericSequence = /^-?\d+\.\.-?\d+(?:\.\.-?\d+)?$/.test(m.body); + var isAlphaSequence = /^[a-zA-Z]\.\.[a-zA-Z](?:\.\.-?\d+)?$/.test(m.body); + var isSequence = isNumericSequence || isAlphaSequence; + var isOptions = m.body.indexOf(',') >= 0; + if (!isSequence && !isOptions) { + // {a},b} + if (m.post.match(/,.*\}/)) { + str = m.pre + '{' + m.body + escClose + m.post; + return expand(str); + } + return [str]; + } + + var n; + if (isSequence) { + n = m.body.split(/\.\./); + } else { + n = parseCommaParts(m.body); + if (n.length === 1) { + // x{{a,b}}y ==> x{a}y x{b}y + n = expand(n[0], false).map(embrace); + if (n.length === 1) { + var post = m.post.length + ? expand(m.post, false) + : ['']; + return post.map(function(p) { + return m.pre + n[0] + p; + }); + } + } + } + + // at this point, n is the parts, and we know it's not a comma set + // with a single entry. + + // no need to expand pre, since it is guaranteed to be free of brace-sets + var pre = m.pre; + var post = m.post.length + ? expand(m.post, false) + : ['']; + + var N; + + if (isSequence) { + var x = numeric(n[0]); + var y = numeric(n[1]); + var width = Math.max(n[0].length, n[1].length) + var incr = n.length == 3 + ? Math.abs(numeric(n[2])) + : 1; + var test = lte; + var reverse = y < x; + if (reverse) { + incr *= -1; + test = gte; + } + var pad = n.some(isPadded); + + N = []; + + for (var i = x; test(i, y); i += incr) { + var c; + if (isAlphaSequence) { + c = String.fromCharCode(i); + if (c === '\\') + c = ''; + } else { + c = String(i); + if (pad) { + var need = width - c.length; + if (need > 0) { + var z = new Array(need + 1).join('0'); + if (i < 0) + c = '-' + z + c.slice(1); + else + c = z + c; + } + } + } + N.push(c); + } + } else { + N = concatMap(n, function(el) { return expand(el, false) }); + } + + for (var j = 0; j < N.length; j++) { + for (var k = 0; k < post.length; k++) { + var expansion = pre + N[j] + post[k]; + if (!isTop || isSequence || expansion) + expansions.push(expansion); + } + } + + return expansions; +} + + +},{"balanced-match":10,"concat-map":13}],12:[function(require,module,exports){ + +},{}],13:[function(require,module,exports){ +module.exports = function (xs, fn) { + var res = []; + for (var i = 0; i < xs.length; i++) { + var x = fn(xs[i], i); + if (isArray(x)) res.push.apply(res, x); + else res.push(x); + } + return res; +}; + +var isArray = Array.isArray || function (xs) { + return Object.prototype.toString.call(xs) === '[object Array]'; +}; + +},{}],14:[function(require,module,exports){ +// Copyright Joyent, Inc. and other Node contributors. +// +// Permission is hereby granted, free of charge, to any person obtaining a +// copy of this software and associated documentation files (the +// "Software"), to deal in the Software without restriction, including +// without limitation the rights to use, copy, modify, merge, publish, +// distribute, sublicense, and/or sell copies of the Software, and to permit +// persons to whom the Software is furnished to do so, subject to the +// following conditions: +// +// The above copyright notice and this permission notice shall be included +// in all copies or substantial portions of the Software. +// +// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS +// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN +// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, +// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR +// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE +// USE OR OTHER DEALINGS IN THE SOFTWARE. + +function EventEmitter() { + this._events = this._events || {}; + this._maxListeners = this._maxListeners || undefined; +} +module.exports = EventEmitter; + +// Backwards-compat with node 0.10.x +EventEmitter.EventEmitter = EventEmitter; + +EventEmitter.prototype._events = undefined; +EventEmitter.prototype._maxListeners = undefined; + +// By default EventEmitters will print a warning if more than 10 listeners are +// added to it. This is a useful default which helps finding memory leaks. +EventEmitter.defaultMaxListeners = 10; + +// Obviously not all Emitters should be limited to 10. This function allows +// that to be increased. Set to zero for unlimited. +EventEmitter.prototype.setMaxListeners = function(n) { + if (!isNumber(n) || n < 0 || isNaN(n)) + throw TypeError('n must be a positive number'); + this._maxListeners = n; + return this; +}; + +EventEmitter.prototype.emit = function(type) { + var er, handler, len, args, i, listeners; + + if (!this._events) + this._events = {}; + + // If there is no 'error' event listener then throw. + if (type === 'error') { + if (!this._events.error || + (isObject(this._events.error) && !this._events.error.length)) { + er = arguments[1]; + if (er instanceof Error) { + throw er; // Unhandled 'error' event + } + throw TypeError('Uncaught, unspecified "error" event.'); + } + } + + handler = this._events[type]; + + if (isUndefined(handler)) + return false; + + if (isFunction(handler)) { + switch (arguments.length) { + // fast cases + case 1: + handler.call(this); + break; + case 2: + handler.call(this, arguments[1]); + break; + case 3: + handler.call(this, arguments[1], arguments[2]); + break; + // slower + default: + len = arguments.length; + args = new Array(len - 1); + for (i = 1; i < len; i++) + args[i - 1] = arguments[i]; + handler.apply(this, args); + } + } else if (isObject(handler)) { + len = arguments.length; + args = new Array(len - 1); + for (i = 1; i < len; i++) + args[i - 1] = arguments[i]; + + listeners = handler.slice(); + len = listeners.length; + for (i = 0; i < len; i++) + listeners[i].apply(this, args); + } + + return true; +}; + +EventEmitter.prototype.addListener = function(type, listener) { + var m; + + if (!isFunction(listener)) + throw TypeError('listener must be a function'); + + if (!this._events) + this._events = {}; + + // To avoid recursion in the case that type === "newListener"! Before + // adding it to the listeners, first emit "newListener". + if (this._events.newListener) + this.emit('newListener', type, + isFunction(listener.listener) ? + listener.listener : listener); + + if (!this._events[type]) + // Optimize the case of one listener. Don't need the extra array object. + this._events[type] = listener; + else if (isObject(this._events[type])) + // If we've already got an array, just append. + this._events[type].push(listener); + else + // Adding the second element, need to change to array. + this._events[type] = [this._events[type], listener]; + + // Check for listener leak + if (isObject(this._events[type]) && !this._events[type].warned) { + var m; + if (!isUndefined(this._maxListeners)) { + m = this._maxListeners; + } else { + m = EventEmitter.defaultMaxListeners; + } + + if (m && m > 0 && this._events[type].length > m) { + this._events[type].warned = true; + console.error('(node) warning: possible EventEmitter memory ' + + 'leak detected. %d listeners added. ' + + 'Use emitter.setMaxListeners() to increase limit.', + this._events[type].length); + if (typeof console.trace === 'function') { + // not supported in IE 10 + console.trace(); + } + } + } + + return this; +}; + +EventEmitter.prototype.on = EventEmitter.prototype.addListener; + +EventEmitter.prototype.once = function(type, listener) { + if (!isFunction(listener)) + throw TypeError('listener must be a function'); + + var fired = false; + + function g() { + this.removeListener(type, g); + + if (!fired) { + fired = true; + listener.apply(this, arguments); + } + } + + g.listener = listener; + this.on(type, g); + + return this; +}; + +// emits a 'removeListener' event iff the listener was removed +EventEmitter.prototype.removeListener = function(type, listener) { + var list, position, length, i; + + if (!isFunction(listener)) + throw TypeError('listener must be a function'); + + if (!this._events || !this._events[type]) + return this; + + list = this._events[type]; + length = list.length; + position = -1; + + if (list === listener || + (isFunction(list.listener) && list.listener === listener)) { + delete this._events[type]; + if (this._events.removeListener) + this.emit('removeListener', type, listener); + + } else if (isObject(list)) { + for (i = length; i-- > 0;) { + if (list[i] === listener || + (list[i].listener && list[i].listener === listener)) { + position = i; + break; + } + } + + if (position < 0) + return this; + + if (list.length === 1) { + list.length = 0; + delete this._events[type]; + } else { + list.splice(position, 1); + } + + if (this._events.removeListener) + this.emit('removeListener', type, listener); + } + + return this; +}; + +EventEmitter.prototype.removeAllListeners = function(type) { + var key, listeners; + + if (!this._events) + return this; + + // not listening for removeListener, no need to emit + if (!this._events.removeListener) { + if (arguments.length === 0) + this._events = {}; + else if (this._events[type]) + delete this._events[type]; + return this; + } + + // emit removeListener for all listeners on all events + if (arguments.length === 0) { + for (key in this._events) { + if (key === 'removeListener') continue; + this.removeAllListeners(key); + } + this.removeAllListeners('removeListener'); + this._events = {}; + return this; + } + + listeners = this._events[type]; + + if (isFunction(listeners)) { + this.removeListener(type, listeners); + } else { + // LIFO order + while (listeners.length) + this.removeListener(type, listeners[listeners.length - 1]); + } + delete this._events[type]; + + return this; +}; + +EventEmitter.prototype.listeners = function(type) { + var ret; + if (!this._events || !this._events[type]) + ret = []; + else if (isFunction(this._events[type])) + ret = [this._events[type]]; + else + ret = this._events[type].slice(); + return ret; +}; + +EventEmitter.listenerCount = function(emitter, type) { + var ret; + if (!emitter._events || !emitter._events[type]) + ret = 0; + else if (isFunction(emitter._events[type])) + ret = 1; + else + ret = emitter._events[type].length; + return ret; +}; + +function isFunction(arg) { + return typeof arg === 'function'; +} + +function isNumber(arg) { + return typeof arg === 'number'; +} + +function isObject(arg) { + return typeof arg === 'object' && arg !== null; +} + +function isUndefined(arg) { + return arg === void 0; +} + +},{}],15:[function(require,module,exports){ +(function (process){ +exports.alphasort = alphasort +exports.alphasorti = alphasorti +exports.setopts = setopts +exports.ownProp = ownProp +exports.makeAbs = makeAbs +exports.finish = finish +exports.mark = mark +exports.isIgnored = isIgnored +exports.childrenIgnored = childrenIgnored + +function ownProp (obj, field) { + return Object.prototype.hasOwnProperty.call(obj, field) +} + +var path = require("path") +var minimatch = require("minimatch") +var isAbsolute = require("path-is-absolute") +var Minimatch = minimatch.Minimatch + +function alphasorti (a, b) { + return a.toLowerCase().localeCompare(b.toLowerCase()) +} + +function alphasort (a, b) { + return a.localeCompare(b) +} + +function setupIgnores (self, options) { + self.ignore = options.ignore || [] + + if (!Array.isArray(self.ignore)) + self.ignore = [self.ignore] + + if (self.ignore.length) { + self.ignore = self.ignore.map(ignoreMap) + } +} + +function ignoreMap (pattern) { + var gmatcher = null + if (pattern.slice(-3) === '/**') { + var gpattern = pattern.replace(/(\/\*\*)+$/, '') + gmatcher = new Minimatch(gpattern) + } + + return { + matcher: new Minimatch(pattern), + gmatcher: gmatcher + } +} + +function setopts (self, pattern, options) { + if (!options) + options = {} + + // base-matching: just use globstar for that. + if (options.matchBase && -1 === pattern.indexOf("/")) { + if (options.noglobstar) { + throw new Error("base matching requires globstar") + } + pattern = "**/" + pattern + } + + self.silent = !!options.silent + self.pattern = pattern + self.strict = options.strict !== false + self.realpath = !!options.realpath + self.realpathCache = options.realpathCache || Object.create(null) + self.follow = !!options.follow + self.dot = !!options.dot + self.mark = !!options.mark + self.nodir = !!options.nodir + if (self.nodir) + self.mark = true + self.sync = !!options.sync + self.nounique = !!options.nounique + self.nonull = !!options.nonull + self.nosort = !!options.nosort + self.nocase = !!options.nocase + self.stat = !!options.stat + self.noprocess = !!options.noprocess + + self.maxLength = options.maxLength || Infinity + self.cache = options.cache || Object.create(null) + self.statCache = options.statCache || Object.create(null) + self.symlinks = options.symlinks || Object.create(null) + + setupIgnores(self, options) + + self.changedCwd = false + var cwd = process.cwd() + if (!ownProp(options, "cwd")) + self.cwd = cwd + else { + self.cwd = options.cwd + self.changedCwd = path.resolve(options.cwd) !== cwd + } + + self.root = options.root || path.resolve(self.cwd, "/") + self.root = path.resolve(self.root) + if (process.platform === "win32") + self.root = self.root.replace(/\\/g, "/") + + self.nomount = !!options.nomount + + // disable comments and negation unless the user explicitly + // passes in false as the option. + options.nonegate = options.nonegate === false ? false : true + options.nocomment = options.nocomment === false ? false : true + deprecationWarning(options) + + self.minimatch = new Minimatch(pattern, options) + self.options = self.minimatch.options +} + +// TODO(isaacs): remove entirely in v6 +// exported to reset in tests +exports.deprecationWarned +function deprecationWarning(options) { + if (!options.nonegate || !options.nocomment) { + if (process.noDeprecation !== true && !exports.deprecationWarned) { + var msg = 'glob WARNING: comments and negation will be disabled in v6' + if (process.throwDeprecation) + throw new Error(msg) + else if (process.traceDeprecation) + console.trace(msg) + else + console.error(msg) + + exports.deprecationWarned = true + } + } +} + +function finish (self) { + var nou = self.nounique + var all = nou ? [] : Object.create(null) + + for (var i = 0, l = self.matches.length; i < l; i ++) { + var matches = self.matches[i] + if (!matches || Object.keys(matches).length === 0) { + if (self.nonull) { + // do like the shell, and spit out the literal glob + var literal = self.minimatch.globSet[i] + if (nou) + all.push(literal) + else + all[literal] = true + } + } else { + // had matches + var m = Object.keys(matches) + if (nou) + all.push.apply(all, m) + else + m.forEach(function (m) { + all[m] = true + }) + } + } + + if (!nou) + all = Object.keys(all) + + if (!self.nosort) + all = all.sort(self.nocase ? alphasorti : alphasort) + + // at *some* point we statted all of these + if (self.mark) { + for (var i = 0; i < all.length; i++) { + all[i] = self._mark(all[i]) + } + if (self.nodir) { + all = all.filter(function (e) { + return !(/\/$/.test(e)) + }) + } + } + + if (self.ignore.length) + all = all.filter(function(m) { + return !isIgnored(self, m) + }) + + self.found = all +} + +function mark (self, p) { + var abs = makeAbs(self, p) + var c = self.cache[abs] + var m = p + if (c) { + var isDir = c === 'DIR' || Array.isArray(c) + var slash = p.slice(-1) === '/' + + if (isDir && !slash) + m += '/' + else if (!isDir && slash) + m = m.slice(0, -1) + + if (m !== p) { + var mabs = makeAbs(self, m) + self.statCache[mabs] = self.statCache[abs] + self.cache[mabs] = self.cache[abs] + } + } + + return m +} + +// lotta situps... +function makeAbs (self, f) { + var abs = f + if (f.charAt(0) === '/') { + abs = path.join(self.root, f) + } else if (isAbsolute(f) || f === '') { + abs = f + } else if (self.changedCwd) { + abs = path.resolve(self.cwd, f) + } else { + abs = path.resolve(f) + } + return abs +} + + +// Return true, if pattern ends with globstar '**', for the accompanying parent directory. +// Ex:- If node_modules/** is the pattern, add 'node_modules' to ignore list along with it's contents +function isIgnored (self, path) { + if (!self.ignore.length) + return false + + return self.ignore.some(function(item) { + return item.matcher.match(path) || !!(item.gmatcher && item.gmatcher.match(path)) + }) +} + +function childrenIgnored (self, path) { + if (!self.ignore.length) + return false + + return self.ignore.some(function(item) { + return !!(item.gmatcher && item.gmatcher.match(path)) + }) +} + +}).call(this,require('_process')) +},{"_process":24,"minimatch":20,"path":22,"path-is-absolute":23}],16:[function(require,module,exports){ +(function (process){ +// Approach: +// +// 1. Get the minimatch set +// 2. For each pattern in the set, PROCESS(pattern, false) +// 3. Store matches per-set, then uniq them +// +// PROCESS(pattern, inGlobStar) +// Get the first [n] items from pattern that are all strings +// Join these together. This is PREFIX. +// If there is no more remaining, then stat(PREFIX) and +// add to matches if it succeeds. END. +// +// If inGlobStar and PREFIX is symlink and points to dir +// set ENTRIES = [] +// else readdir(PREFIX) as ENTRIES +// If fail, END +// +// with ENTRIES +// If pattern[n] is GLOBSTAR +// // handle the case where the globstar match is empty +// // by pruning it out, and testing the resulting pattern +// PROCESS(pattern[0..n] + pattern[n+1 .. $], false) +// // handle other cases. +// for ENTRY in ENTRIES (not dotfiles) +// // attach globstar + tail onto the entry +// // Mark that this entry is a globstar match +// PROCESS(pattern[0..n] + ENTRY + pattern[n .. $], true) +// +// else // not globstar +// for ENTRY in ENTRIES (not dotfiles, unless pattern[n] is dot) +// Test ENTRY against pattern[n] +// If fails, continue +// If passes, PROCESS(pattern[0..n] + item + pattern[n+1 .. $]) +// +// Caveat: +// Cache all stats and readdirs results to minimize syscall. Since all +// we ever care about is existence and directory-ness, we can just keep +// `true` for files, and [children,...] for directories, or `false` for +// things that don't exist. + +module.exports = glob + +var fs = require('fs') +var minimatch = require('minimatch') +var Minimatch = minimatch.Minimatch +var inherits = require('inherits') +var EE = require('events').EventEmitter +var path = require('path') +var assert = require('assert') +var isAbsolute = require('path-is-absolute') +var globSync = require('./sync.js') +var common = require('./common.js') +var alphasort = common.alphasort +var alphasorti = common.alphasorti +var setopts = common.setopts +var ownProp = common.ownProp +var inflight = require('inflight') +var util = require('util') +var childrenIgnored = common.childrenIgnored +var isIgnored = common.isIgnored + +var once = require('once') + +function glob (pattern, options, cb) { + if (typeof options === 'function') cb = options, options = {} + if (!options) options = {} + + if (options.sync) { + if (cb) + throw new TypeError('callback provided to sync glob') + return globSync(pattern, options) + } + + return new Glob(pattern, options, cb) +} + +glob.sync = globSync +var GlobSync = glob.GlobSync = globSync.GlobSync + +// old api surface +glob.glob = glob + +glob.hasMagic = function (pattern, options_) { + var options = util._extend({}, options_) + options.noprocess = true + + var g = new Glob(pattern, options) + var set = g.minimatch.set + if (set.length > 1) + return true + + for (var j = 0; j < set[0].length; j++) { + if (typeof set[0][j] !== 'string') + return true + } + + return false +} + +glob.Glob = Glob +inherits(Glob, EE) +function Glob (pattern, options, cb) { + if (typeof options === 'function') { + cb = options + options = null + } + + if (options && options.sync) { + if (cb) + throw new TypeError('callback provided to sync glob') + return new GlobSync(pattern, options) + } + + if (!(this instanceof Glob)) + return new Glob(pattern, options, cb) + + setopts(this, pattern, options) + this._didRealPath = false + + // process each pattern in the minimatch set + var n = this.minimatch.set.length + + // The matches are stored as {: true,...} so that + // duplicates are automagically pruned. + // Later, we do an Object.keys() on these. + // Keep them as a list so we can fill in when nonull is set. + this.matches = new Array(n) + + if (typeof cb === 'function') { + cb = once(cb) + this.on('error', cb) + this.on('end', function (matches) { + cb(null, matches) + }) + } + + var self = this + var n = this.minimatch.set.length + this._processing = 0 + this.matches = new Array(n) + + this._emitQueue = [] + this._processQueue = [] + this.paused = false + + if (this.noprocess) + return this + + if (n === 0) + return done() + + for (var i = 0; i < n; i ++) { + this._process(this.minimatch.set[i], i, false, done) + } + + function done () { + --self._processing + if (self._processing <= 0) + self._finish() + } +} + +Glob.prototype._finish = function () { + assert(this instanceof Glob) + if (this.aborted) + return + + if (this.realpath && !this._didRealpath) + return this._realpath() + + common.finish(this) + this.emit('end', this.found) +} + +Glob.prototype._realpath = function () { + if (this._didRealpath) + return + + this._didRealpath = true + + var n = this.matches.length + if (n === 0) + return this._finish() + + var self = this + for (var i = 0; i < this.matches.length; i++) + this._realpathSet(i, next) + + function next () { + if (--n === 0) + self._finish() + } +} + +Glob.prototype._realpathSet = function (index, cb) { + var matchset = this.matches[index] + if (!matchset) + return cb() + + var found = Object.keys(matchset) + var self = this + var n = found.length + + if (n === 0) + return cb() + + var set = this.matches[index] = Object.create(null) + found.forEach(function (p, i) { + // If there's a problem with the stat, then it means that + // one or more of the links in the realpath couldn't be + // resolved. just return the abs value in that case. + p = self._makeAbs(p) + fs.realpath(p, self.realpathCache, function (er, real) { + if (!er) + set[real] = true + else if (er.syscall === 'stat') + set[p] = true + else + self.emit('error', er) // srsly wtf right here + + if (--n === 0) { + self.matches[index] = set + cb() + } + }) + }) +} + +Glob.prototype._mark = function (p) { + return common.mark(this, p) +} + +Glob.prototype._makeAbs = function (f) { + return common.makeAbs(this, f) +} + +Glob.prototype.abort = function () { + this.aborted = true + this.emit('abort') +} + +Glob.prototype.pause = function () { + if (!this.paused) { + this.paused = true + this.emit('pause') + } +} + +Glob.prototype.resume = function () { + if (this.paused) { + this.emit('resume') + this.paused = false + if (this._emitQueue.length) { + var eq = this._emitQueue.slice(0) + this._emitQueue.length = 0 + for (var i = 0; i < eq.length; i ++) { + var e = eq[i] + this._emitMatch(e[0], e[1]) + } + } + if (this._processQueue.length) { + var pq = this._processQueue.slice(0) + this._processQueue.length = 0 + for (var i = 0; i < pq.length; i ++) { + var p = pq[i] + this._processing-- + this._process(p[0], p[1], p[2], p[3]) + } + } + } +} + +Glob.prototype._process = function (pattern, index, inGlobStar, cb) { + assert(this instanceof Glob) + assert(typeof cb === 'function') + + if (this.aborted) + return + + this._processing++ + if (this.paused) { + this._processQueue.push([pattern, index, inGlobStar, cb]) + return + } + + //console.error('PROCESS %d', this._processing, pattern) + + // Get the first [n] parts of pattern that are all strings. + var n = 0 + while (typeof pattern[n] === 'string') { + n ++ + } + // now n is the index of the first one that is *not* a string. + + // see if there's anything else + var prefix + switch (n) { + // if not, then this is rather simple + case pattern.length: + this._processSimple(pattern.join('/'), index, cb) + return + + case 0: + // pattern *starts* with some non-trivial item. + // going to readdir(cwd), but not include the prefix in matches. + prefix = null + break + + default: + // pattern has some string bits in the front. + // whatever it starts with, whether that's 'absolute' like /foo/bar, + // or 'relative' like '../baz' + prefix = pattern.slice(0, n).join('/') + break + } + + var remain = pattern.slice(n) + + // get the list of entries. + var read + if (prefix === null) + read = '.' + else if (isAbsolute(prefix) || isAbsolute(pattern.join('/'))) { + if (!prefix || !isAbsolute(prefix)) + prefix = '/' + prefix + read = prefix + } else + read = prefix + + var abs = this._makeAbs(read) + + //if ignored, skip _processing + if (childrenIgnored(this, read)) + return cb() + + var isGlobStar = remain[0] === minimatch.GLOBSTAR + if (isGlobStar) + this._processGlobStar(prefix, read, abs, remain, index, inGlobStar, cb) + else + this._processReaddir(prefix, read, abs, remain, index, inGlobStar, cb) +} + +Glob.prototype._processReaddir = function (prefix, read, abs, remain, index, inGlobStar, cb) { + var self = this + this._readdir(abs, inGlobStar, function (er, entries) { + return self._processReaddir2(prefix, read, abs, remain, index, inGlobStar, entries, cb) + }) +} + +Glob.prototype._processReaddir2 = function (prefix, read, abs, remain, index, inGlobStar, entries, cb) { + + // if the abs isn't a dir, then nothing can match! + if (!entries) + return cb() + + // It will only match dot entries if it starts with a dot, or if + // dot is set. Stuff like @(.foo|.bar) isn't allowed. + var pn = remain[0] + var negate = !!this.minimatch.negate + var rawGlob = pn._glob + var dotOk = this.dot || rawGlob.charAt(0) === '.' + + var matchedEntries = [] + for (var i = 0; i < entries.length; i++) { + var e = entries[i] + if (e.charAt(0) !== '.' || dotOk) { + var m + if (negate && !prefix) { + m = !e.match(pn) + } else { + m = e.match(pn) + } + if (m) + matchedEntries.push(e) + } + } + + //console.error('prd2', prefix, entries, remain[0]._glob, matchedEntries) + + var len = matchedEntries.length + // If there are no matched entries, then nothing matches. + if (len === 0) + return cb() + + // if this is the last remaining pattern bit, then no need for + // an additional stat *unless* the user has specified mark or + // stat explicitly. We know they exist, since readdir returned + // them. + + if (remain.length === 1 && !this.mark && !this.stat) { + if (!this.matches[index]) + this.matches[index] = Object.create(null) + + for (var i = 0; i < len; i ++) { + var e = matchedEntries[i] + if (prefix) { + if (prefix !== '/') + e = prefix + '/' + e + else + e = prefix + e + } + + if (e.charAt(0) === '/' && !this.nomount) { + e = path.join(this.root, e) + } + this._emitMatch(index, e) + } + // This was the last one, and no stats were needed + return cb() + } + + // now test all matched entries as stand-ins for that part + // of the pattern. + remain.shift() + for (var i = 0; i < len; i ++) { + var e = matchedEntries[i] + var newPattern + if (prefix) { + if (prefix !== '/') + e = prefix + '/' + e + else + e = prefix + e + } + this._process([e].concat(remain), index, inGlobStar, cb) + } + cb() +} + +Glob.prototype._emitMatch = function (index, e) { + if (this.aborted) + return + + if (this.matches[index][e]) + return + + if (isIgnored(this, e)) + return + + if (this.paused) { + this._emitQueue.push([index, e]) + return + } + + var abs = this._makeAbs(e) + + if (this.nodir) { + var c = this.cache[abs] + if (c === 'DIR' || Array.isArray(c)) + return + } + + if (this.mark) + e = this._mark(e) + + this.matches[index][e] = true + + var st = this.statCache[abs] + if (st) + this.emit('stat', e, st) + + this.emit('match', e) +} + +Glob.prototype._readdirInGlobStar = function (abs, cb) { + if (this.aborted) + return + + // follow all symlinked directories forever + // just proceed as if this is a non-globstar situation + if (this.follow) + return this._readdir(abs, false, cb) + + var lstatkey = 'lstat\0' + abs + var self = this + var lstatcb = inflight(lstatkey, lstatcb_) + + if (lstatcb) + fs.lstat(abs, lstatcb) + + function lstatcb_ (er, lstat) { + if (er) + return cb() + + var isSym = lstat.isSymbolicLink() + self.symlinks[abs] = isSym + + // If it's not a symlink or a dir, then it's definitely a regular file. + // don't bother doing a readdir in that case. + if (!isSym && !lstat.isDirectory()) { + self.cache[abs] = 'FILE' + cb() + } else + self._readdir(abs, false, cb) + } +} + +Glob.prototype._readdir = function (abs, inGlobStar, cb) { + if (this.aborted) + return + + cb = inflight('readdir\0'+abs+'\0'+inGlobStar, cb) + if (!cb) + return + + //console.error('RD %j %j', +inGlobStar, abs) + if (inGlobStar && !ownProp(this.symlinks, abs)) + return this._readdirInGlobStar(abs, cb) + + if (ownProp(this.cache, abs)) { + var c = this.cache[abs] + if (!c || c === 'FILE') + return cb() + + if (Array.isArray(c)) + return cb(null, c) + } + + var self = this + fs.readdir(abs, readdirCb(this, abs, cb)) +} + +function readdirCb (self, abs, cb) { + return function (er, entries) { + if (er) + self._readdirError(abs, er, cb) + else + self._readdirEntries(abs, entries, cb) + } +} + +Glob.prototype._readdirEntries = function (abs, entries, cb) { + if (this.aborted) + return + + // if we haven't asked to stat everything, then just + // assume that everything in there exists, so we can avoid + // having to stat it a second time. + if (!this.mark && !this.stat) { + for (var i = 0; i < entries.length; i ++) { + var e = entries[i] + if (abs === '/') + e = abs + e + else + e = abs + '/' + e + this.cache[e] = true + } + } + + this.cache[abs] = entries + return cb(null, entries) +} + +Glob.prototype._readdirError = function (f, er, cb) { + if (this.aborted) + return + + // handle errors, and cache the information + switch (er.code) { + case 'ENOTSUP': // https://github.com/isaacs/node-glob/issues/205 + case 'ENOTDIR': // totally normal. means it *does* exist. + this.cache[this._makeAbs(f)] = 'FILE' + break + + case 'ENOENT': // not terribly unusual + case 'ELOOP': + case 'ENAMETOOLONG': + case 'UNKNOWN': + this.cache[this._makeAbs(f)] = false + break + + default: // some unusual error. Treat as failure. + this.cache[this._makeAbs(f)] = false + if (this.strict) { + this.emit('error', er) + // If the error is handled, then we abort + // if not, we threw out of here + this.abort() + } + if (!this.silent) + console.error('glob error', er) + break + } + + return cb() +} + +Glob.prototype._processGlobStar = function (prefix, read, abs, remain, index, inGlobStar, cb) { + var self = this + this._readdir(abs, inGlobStar, function (er, entries) { + self._processGlobStar2(prefix, read, abs, remain, index, inGlobStar, entries, cb) + }) +} + + +Glob.prototype._processGlobStar2 = function (prefix, read, abs, remain, index, inGlobStar, entries, cb) { + //console.error('pgs2', prefix, remain[0], entries) + + // no entries means not a dir, so it can never have matches + // foo.txt/** doesn't match foo.txt + if (!entries) + return cb() + + // test without the globstar, and with every child both below + // and replacing the globstar. + var remainWithoutGlobStar = remain.slice(1) + var gspref = prefix ? [ prefix ] : [] + var noGlobStar = gspref.concat(remainWithoutGlobStar) + + // the noGlobStar pattern exits the inGlobStar state + this._process(noGlobStar, index, false, cb) + + var isSym = this.symlinks[abs] + var len = entries.length + + // If it's a symlink, and we're in a globstar, then stop + if (isSym && inGlobStar) + return cb() + + for (var i = 0; i < len; i++) { + var e = entries[i] + if (e.charAt(0) === '.' && !this.dot) + continue + + // these two cases enter the inGlobStar state + var instead = gspref.concat(entries[i], remainWithoutGlobStar) + this._process(instead, index, true, cb) + + var below = gspref.concat(entries[i], remain) + this._process(below, index, true, cb) + } + + cb() +} + +Glob.prototype._processSimple = function (prefix, index, cb) { + // XXX review this. Shouldn't it be doing the mounting etc + // before doing stat? kinda weird? + var self = this + this._stat(prefix, function (er, exists) { + self._processSimple2(prefix, index, er, exists, cb) + }) +} +Glob.prototype._processSimple2 = function (prefix, index, er, exists, cb) { + + //console.error('ps2', prefix, exists) + + if (!this.matches[index]) + this.matches[index] = Object.create(null) + + // If it doesn't exist, then just mark the lack of results + if (!exists) + return cb() + + if (prefix && isAbsolute(prefix) && !this.nomount) { + var trail = /[\/\\]$/.test(prefix) + if (prefix.charAt(0) === '/') { + prefix = path.join(this.root, prefix) + } else { + prefix = path.resolve(this.root, prefix) + if (trail) + prefix += '/' + } + } + + if (process.platform === 'win32') + prefix = prefix.replace(/\\/g, '/') + + // Mark this as a match + this._emitMatch(index, prefix) + cb() +} + +// Returns either 'DIR', 'FILE', or false +Glob.prototype._stat = function (f, cb) { + var abs = this._makeAbs(f) + var needDir = f.slice(-1) === '/' + + if (f.length > this.maxLength) + return cb() + + if (!this.stat && ownProp(this.cache, abs)) { + var c = this.cache[abs] + + if (Array.isArray(c)) + c = 'DIR' + + // It exists, but maybe not how we need it + if (!needDir || c === 'DIR') + return cb(null, c) + + if (needDir && c === 'FILE') + return cb() + + // otherwise we have to stat, because maybe c=true + // if we know it exists, but not what it is. + } + + var exists + var stat = this.statCache[abs] + if (stat !== undefined) { + if (stat === false) + return cb(null, stat) + else { + var type = stat.isDirectory() ? 'DIR' : 'FILE' + if (needDir && type === 'FILE') + return cb() + else + return cb(null, type, stat) + } + } + + var self = this + var statcb = inflight('stat\0' + abs, lstatcb_) + if (statcb) + fs.lstat(abs, statcb) + + function lstatcb_ (er, lstat) { + if (lstat && lstat.isSymbolicLink()) { + // If it's a symlink, then treat it as the target, unless + // the target does not exist, then treat it as a file. + return fs.stat(abs, function (er, stat) { + if (er) + self._stat2(f, abs, null, lstat, cb) + else + self._stat2(f, abs, er, stat, cb) + }) + } else { + self._stat2(f, abs, er, lstat, cb) + } + } +} + +Glob.prototype._stat2 = function (f, abs, er, stat, cb) { + if (er) { + this.statCache[abs] = false + return cb() + } + + var needDir = f.slice(-1) === '/' + this.statCache[abs] = stat + + if (abs.slice(-1) === '/' && !stat.isDirectory()) + return cb(null, false, stat) + + var c = stat.isDirectory() ? 'DIR' : 'FILE' + this.cache[abs] = this.cache[abs] || c + + if (needDir && c !== 'DIR') + return cb() + + return cb(null, c, stat) +} + +}).call(this,require('_process')) +},{"./common.js":15,"./sync.js":17,"_process":24,"assert":9,"events":14,"fs":12,"inflight":18,"inherits":19,"minimatch":20,"once":21,"path":22,"path-is-absolute":23,"util":28}],17:[function(require,module,exports){ +(function (process){ +module.exports = globSync +globSync.GlobSync = GlobSync + +var fs = require('fs') +var minimatch = require('minimatch') +var Minimatch = minimatch.Minimatch +var Glob = require('./glob.js').Glob +var util = require('util') +var path = require('path') +var assert = require('assert') +var isAbsolute = require('path-is-absolute') +var common = require('./common.js') +var alphasort = common.alphasort +var alphasorti = common.alphasorti +var setopts = common.setopts +var ownProp = common.ownProp +var childrenIgnored = common.childrenIgnored + +function globSync (pattern, options) { + if (typeof options === 'function' || arguments.length === 3) + throw new TypeError('callback provided to sync glob\n'+ + 'See: https://github.com/isaacs/node-glob/issues/167') + + return new GlobSync(pattern, options).found +} + +function GlobSync (pattern, options) { + if (!pattern) + throw new Error('must provide pattern') + + if (typeof options === 'function' || arguments.length === 3) + throw new TypeError('callback provided to sync glob\n'+ + 'See: https://github.com/isaacs/node-glob/issues/167') + + if (!(this instanceof GlobSync)) + return new GlobSync(pattern, options) + + setopts(this, pattern, options) + + if (this.noprocess) + return this + + var n = this.minimatch.set.length + this.matches = new Array(n) + for (var i = 0; i < n; i ++) { + this._process(this.minimatch.set[i], i, false) + } + this._finish() +} + +GlobSync.prototype._finish = function () { + assert(this instanceof GlobSync) + if (this.realpath) { + var self = this + this.matches.forEach(function (matchset, index) { + var set = self.matches[index] = Object.create(null) + for (var p in matchset) { + try { + p = self._makeAbs(p) + var real = fs.realpathSync(p, self.realpathCache) + set[real] = true + } catch (er) { + if (er.syscall === 'stat') + set[self._makeAbs(p)] = true + else + throw er + } + } + }) + } + common.finish(this) +} + + +GlobSync.prototype._process = function (pattern, index, inGlobStar) { + assert(this instanceof GlobSync) + + // Get the first [n] parts of pattern that are all strings. + var n = 0 + while (typeof pattern[n] === 'string') { + n ++ + } + // now n is the index of the first one that is *not* a string. + + // See if there's anything else + var prefix + switch (n) { + // if not, then this is rather simple + case pattern.length: + this._processSimple(pattern.join('/'), index) + return + + case 0: + // pattern *starts* with some non-trivial item. + // going to readdir(cwd), but not include the prefix in matches. + prefix = null + break + + default: + // pattern has some string bits in the front. + // whatever it starts with, whether that's 'absolute' like /foo/bar, + // or 'relative' like '../baz' + prefix = pattern.slice(0, n).join('/') + break + } + + var remain = pattern.slice(n) + + // get the list of entries. + var read + if (prefix === null) + read = '.' + else if (isAbsolute(prefix) || isAbsolute(pattern.join('/'))) { + if (!prefix || !isAbsolute(prefix)) + prefix = '/' + prefix + read = prefix + } else + read = prefix + + var abs = this._makeAbs(read) + + //if ignored, skip processing + if (childrenIgnored(this, read)) + return + + var isGlobStar = remain[0] === minimatch.GLOBSTAR + if (isGlobStar) + this._processGlobStar(prefix, read, abs, remain, index, inGlobStar) + else + this._processReaddir(prefix, read, abs, remain, index, inGlobStar) +} + + +GlobSync.prototype._processReaddir = function (prefix, read, abs, remain, index, inGlobStar) { + var entries = this._readdir(abs, inGlobStar) + + // if the abs isn't a dir, then nothing can match! + if (!entries) + return + + // It will only match dot entries if it starts with a dot, or if + // dot is set. Stuff like @(.foo|.bar) isn't allowed. + var pn = remain[0] + var negate = !!this.minimatch.negate + var rawGlob = pn._glob + var dotOk = this.dot || rawGlob.charAt(0) === '.' + + var matchedEntries = [] + for (var i = 0; i < entries.length; i++) { + var e = entries[i] + if (e.charAt(0) !== '.' || dotOk) { + var m + if (negate && !prefix) { + m = !e.match(pn) + } else { + m = e.match(pn) + } + if (m) + matchedEntries.push(e) + } + } + + var len = matchedEntries.length + // If there are no matched entries, then nothing matches. + if (len === 0) + return + + // if this is the last remaining pattern bit, then no need for + // an additional stat *unless* the user has specified mark or + // stat explicitly. We know they exist, since readdir returned + // them. + + if (remain.length === 1 && !this.mark && !this.stat) { + if (!this.matches[index]) + this.matches[index] = Object.create(null) + + for (var i = 0; i < len; i ++) { + var e = matchedEntries[i] + if (prefix) { + if (prefix.slice(-1) !== '/') + e = prefix + '/' + e + else + e = prefix + e + } + + if (e.charAt(0) === '/' && !this.nomount) { + e = path.join(this.root, e) + } + this.matches[index][e] = true + } + // This was the last one, and no stats were needed + return + } + + // now test all matched entries as stand-ins for that part + // of the pattern. + remain.shift() + for (var i = 0; i < len; i ++) { + var e = matchedEntries[i] + var newPattern + if (prefix) + newPattern = [prefix, e] + else + newPattern = [e] + this._process(newPattern.concat(remain), index, inGlobStar) + } +} + + +GlobSync.prototype._emitMatch = function (index, e) { + var abs = this._makeAbs(e) + if (this.mark) + e = this._mark(e) + + if (this.matches[index][e]) + return + + if (this.nodir) { + var c = this.cache[this._makeAbs(e)] + if (c === 'DIR' || Array.isArray(c)) + return + } + + this.matches[index][e] = true + if (this.stat) + this._stat(e) +} + + +GlobSync.prototype._readdirInGlobStar = function (abs) { + // follow all symlinked directories forever + // just proceed as if this is a non-globstar situation + if (this.follow) + return this._readdir(abs, false) + + var entries + var lstat + var stat + try { + lstat = fs.lstatSync(abs) + } catch (er) { + // lstat failed, doesn't exist + return null + } + + var isSym = lstat.isSymbolicLink() + this.symlinks[abs] = isSym + + // If it's not a symlink or a dir, then it's definitely a regular file. + // don't bother doing a readdir in that case. + if (!isSym && !lstat.isDirectory()) + this.cache[abs] = 'FILE' + else + entries = this._readdir(abs, false) + + return entries +} + +GlobSync.prototype._readdir = function (abs, inGlobStar) { + var entries + + if (inGlobStar && !ownProp(this.symlinks, abs)) + return this._readdirInGlobStar(abs) + + if (ownProp(this.cache, abs)) { + var c = this.cache[abs] + if (!c || c === 'FILE') + return null + + if (Array.isArray(c)) + return c + } + + try { + return this._readdirEntries(abs, fs.readdirSync(abs)) + } catch (er) { + this._readdirError(abs, er) + return null + } +} + +GlobSync.prototype._readdirEntries = function (abs, entries) { + // if we haven't asked to stat everything, then just + // assume that everything in there exists, so we can avoid + // having to stat it a second time. + if (!this.mark && !this.stat) { + for (var i = 0; i < entries.length; i ++) { + var e = entries[i] + if (abs === '/') + e = abs + e + else + e = abs + '/' + e + this.cache[e] = true + } + } + + this.cache[abs] = entries + + // mark and cache dir-ness + return entries +} + +GlobSync.prototype._readdirError = function (f, er) { + // handle errors, and cache the information + switch (er.code) { + case 'ENOTSUP': // https://github.com/isaacs/node-glob/issues/205 + case 'ENOTDIR': // totally normal. means it *does* exist. + this.cache[this._makeAbs(f)] = 'FILE' + break + + case 'ENOENT': // not terribly unusual + case 'ELOOP': + case 'ENAMETOOLONG': + case 'UNKNOWN': + this.cache[this._makeAbs(f)] = false + break + + default: // some unusual error. Treat as failure. + this.cache[this._makeAbs(f)] = false + if (this.strict) + throw er + if (!this.silent) + console.error('glob error', er) + break + } +} + +GlobSync.prototype._processGlobStar = function (prefix, read, abs, remain, index, inGlobStar) { + + var entries = this._readdir(abs, inGlobStar) + + // no entries means not a dir, so it can never have matches + // foo.txt/** doesn't match foo.txt + if (!entries) + return + + // test without the globstar, and with every child both below + // and replacing the globstar. + var remainWithoutGlobStar = remain.slice(1) + var gspref = prefix ? [ prefix ] : [] + var noGlobStar = gspref.concat(remainWithoutGlobStar) + + // the noGlobStar pattern exits the inGlobStar state + this._process(noGlobStar, index, false) + + var len = entries.length + var isSym = this.symlinks[abs] + + // If it's a symlink, and we're in a globstar, then stop + if (isSym && inGlobStar) + return + + for (var i = 0; i < len; i++) { + var e = entries[i] + if (e.charAt(0) === '.' && !this.dot) + continue + + // these two cases enter the inGlobStar state + var instead = gspref.concat(entries[i], remainWithoutGlobStar) + this._process(instead, index, true) + + var below = gspref.concat(entries[i], remain) + this._process(below, index, true) + } +} + +GlobSync.prototype._processSimple = function (prefix, index) { + // XXX review this. Shouldn't it be doing the mounting etc + // before doing stat? kinda weird? + var exists = this._stat(prefix) + + if (!this.matches[index]) + this.matches[index] = Object.create(null) + + // If it doesn't exist, then just mark the lack of results + if (!exists) + return + + if (prefix && isAbsolute(prefix) && !this.nomount) { + var trail = /[\/\\]$/.test(prefix) + if (prefix.charAt(0) === '/') { + prefix = path.join(this.root, prefix) + } else { + prefix = path.resolve(this.root, prefix) + if (trail) + prefix += '/' + } + } + + if (process.platform === 'win32') + prefix = prefix.replace(/\\/g, '/') + + // Mark this as a match + this.matches[index][prefix] = true +} + +// Returns either 'DIR', 'FILE', or false +GlobSync.prototype._stat = function (f) { + var abs = this._makeAbs(f) + var needDir = f.slice(-1) === '/' + + if (f.length > this.maxLength) + return false + + if (!this.stat && ownProp(this.cache, abs)) { + var c = this.cache[abs] + + if (Array.isArray(c)) + c = 'DIR' + + // It exists, but maybe not how we need it + if (!needDir || c === 'DIR') + return c + + if (needDir && c === 'FILE') + return false + + // otherwise we have to stat, because maybe c=true + // if we know it exists, but not what it is. + } + + var exists + var stat = this.statCache[abs] + if (!stat) { + var lstat + try { + lstat = fs.lstatSync(abs) + } catch (er) { + return false + } + + if (lstat.isSymbolicLink()) { + try { + stat = fs.statSync(abs) + } catch (er) { + stat = lstat + } + } else { + stat = lstat + } + } + + this.statCache[abs] = stat + + var c = stat.isDirectory() ? 'DIR' : 'FILE' + this.cache[abs] = this.cache[abs] || c + + if (needDir && c !== 'DIR') + return false + + return c +} + +GlobSync.prototype._mark = function (p) { + return common.mark(this, p) +} + +GlobSync.prototype._makeAbs = function (f) { + return common.makeAbs(this, f) +} + +}).call(this,require('_process')) +},{"./common.js":15,"./glob.js":16,"_process":24,"assert":9,"fs":12,"minimatch":20,"path":22,"path-is-absolute":23,"util":28}],18:[function(require,module,exports){ +(function (process){ +var wrappy = require('wrappy') +var reqs = Object.create(null) +var once = require('once') + +module.exports = wrappy(inflight) + +function inflight (key, cb) { + if (reqs[key]) { + reqs[key].push(cb) + return null + } else { + reqs[key] = [cb] + return makeres(key) + } +} + +function makeres (key) { + return once(function RES () { + var cbs = reqs[key] + var len = cbs.length + var args = slice(arguments) + + // XXX It's somewhat ambiguous whether a new callback added in this + // pass should be queued for later execution if something in the + // list of callbacks throws, or if it should just be discarded. + // However, it's such an edge case that it hardly matters, and either + // choice is likely as surprising as the other. + // As it happens, we do go ahead and schedule it for later execution. + try { + for (var i = 0; i < len; i++) { + cbs[i].apply(null, args) + } + } finally { + if (cbs.length > len) { + // added more in the interim. + // de-zalgo, just in case, but don't call again. + cbs.splice(0, len) + process.nextTick(function () { + RES.apply(null, args) + }) + } else { + delete reqs[key] + } + } + }) +} + +function slice (args) { + var length = args.length + var array = [] + + for (var i = 0; i < length; i++) array[i] = args[i] + return array +} + +}).call(this,require('_process')) +},{"_process":24,"once":21,"wrappy":29}],19:[function(require,module,exports){ +if (typeof Object.create === 'function') { + // implementation from standard node.js 'util' module + module.exports = function inherits(ctor, superCtor) { + ctor.super_ = superCtor + ctor.prototype = Object.create(superCtor.prototype, { + constructor: { + value: ctor, + enumerable: false, + writable: true, + configurable: true + } + }); + }; +} else { + // old school shim for old browsers + module.exports = function inherits(ctor, superCtor) { + ctor.super_ = superCtor + var TempCtor = function () {} + TempCtor.prototype = superCtor.prototype + ctor.prototype = new TempCtor() + ctor.prototype.constructor = ctor + } +} + +},{}],20:[function(require,module,exports){ +module.exports = minimatch +minimatch.Minimatch = Minimatch + +var path = { sep: '/' } +try { + path = require('path') +} catch (er) {} + +var GLOBSTAR = minimatch.GLOBSTAR = Minimatch.GLOBSTAR = {} +var expand = require('brace-expansion') + +var plTypes = { + '!': { open: '(?:(?!(?:', close: '))[^/]*?)'}, + '?': { open: '(?:', close: ')?' }, + '+': { open: '(?:', close: ')+' }, + '*': { open: '(?:', close: ')*' }, + '@': { open: '(?:', close: ')' } +} + +// any single thing other than / +// don't need to escape / when using new RegExp() +var qmark = '[^/]' + +// * => any number of characters +var star = qmark + '*?' + +// ** when dots are allowed. Anything goes, except .. and . +// not (^ or / followed by one or two dots followed by $ or /), +// followed by anything, any number of times. +var twoStarDot = '(?:(?!(?:\\\/|^)(?:\\.{1,2})($|\\\/)).)*?' + +// not a ^ or / followed by a dot, +// followed by anything, any number of times. +var twoStarNoDot = '(?:(?!(?:\\\/|^)\\.).)*?' + +// characters that need to be escaped in RegExp. +var reSpecials = charSet('().*{}+?[]^$\\!') + +// "abc" -> { a:true, b:true, c:true } +function charSet (s) { + return s.split('').reduce(function (set, c) { + set[c] = true + return set + }, {}) +} + +// normalizes slashes. +var slashSplit = /\/+/ + +minimatch.filter = filter +function filter (pattern, options) { + options = options || {} + return function (p, i, list) { + return minimatch(p, pattern, options) + } +} + +function ext (a, b) { + a = a || {} + b = b || {} + var t = {} + Object.keys(b).forEach(function (k) { + t[k] = b[k] + }) + Object.keys(a).forEach(function (k) { + t[k] = a[k] + }) + return t +} + +minimatch.defaults = function (def) { + if (!def || !Object.keys(def).length) return minimatch + + var orig = minimatch + + var m = function minimatch (p, pattern, options) { + return orig.minimatch(p, pattern, ext(def, options)) + } + + m.Minimatch = function Minimatch (pattern, options) { + return new orig.Minimatch(pattern, ext(def, options)) + } + + return m +} + +Minimatch.defaults = function (def) { + if (!def || !Object.keys(def).length) return Minimatch + return minimatch.defaults(def).Minimatch +} + +function minimatch (p, pattern, options) { + if (typeof pattern !== 'string') { + throw new TypeError('glob pattern string required') + } + + if (!options) options = {} + + // shortcut: comments match nothing. + if (!options.nocomment && pattern.charAt(0) === '#') { + return false + } + + // "" only matches "" + if (pattern.trim() === '') return p === '' + + return new Minimatch(pattern, options).match(p) +} + +function Minimatch (pattern, options) { + if (!(this instanceof Minimatch)) { + return new Minimatch(pattern, options) + } + + if (typeof pattern !== 'string') { + throw new TypeError('glob pattern string required') + } + + if (!options) options = {} + pattern = pattern.trim() + + // windows support: need to use /, not \ + if (path.sep !== '/') { + pattern = pattern.split(path.sep).join('/') + } + + this.options = options + this.set = [] + this.pattern = pattern + this.regexp = null + this.negate = false + this.comment = false + this.empty = false + + // make the set of regexps etc. + this.make() +} + +Minimatch.prototype.debug = function () {} + +Minimatch.prototype.make = make +function make () { + // don't do it more than once. + if (this._made) return + + var pattern = this.pattern + var options = this.options + + // empty patterns and comments match nothing. + if (!options.nocomment && pattern.charAt(0) === '#') { + this.comment = true + return + } + if (!pattern) { + this.empty = true + return + } + + // step 1: figure out negation, etc. + this.parseNegate() + + // step 2: expand braces + var set = this.globSet = this.braceExpand() + + if (options.debug) this.debug = console.error + + this.debug(this.pattern, set) + + // step 3: now we have a set, so turn each one into a series of path-portion + // matching patterns. + // These will be regexps, except in the case of "**", which is + // set to the GLOBSTAR object for globstar behavior, + // and will not contain any / characters + set = this.globParts = set.map(function (s) { + return s.split(slashSplit) + }) + + this.debug(this.pattern, set) + + // glob --> regexps + set = set.map(function (s, si, set) { + return s.map(this.parse, this) + }, this) + + this.debug(this.pattern, set) + + // filter out everything that didn't compile properly. + set = set.filter(function (s) { + return s.indexOf(false) === -1 + }) + + this.debug(this.pattern, set) + + this.set = set +} + +Minimatch.prototype.parseNegate = parseNegate +function parseNegate () { + var pattern = this.pattern + var negate = false + var options = this.options + var negateOffset = 0 + + if (options.nonegate) return + + for (var i = 0, l = pattern.length + ; i < l && pattern.charAt(i) === '!' + ; i++) { + negate = !negate + negateOffset++ + } + + if (negateOffset) this.pattern = pattern.substr(negateOffset) + this.negate = negate +} + +// Brace expansion: +// a{b,c}d -> abd acd +// a{b,}c -> abc ac +// a{0..3}d -> a0d a1d a2d a3d +// a{b,c{d,e}f}g -> abg acdfg acefg +// a{b,c}d{e,f}g -> abdeg acdeg abdeg abdfg +// +// Invalid sets are not expanded. +// a{2..}b -> a{2..}b +// a{b}c -> a{b}c +minimatch.braceExpand = function (pattern, options) { + return braceExpand(pattern, options) +} + +Minimatch.prototype.braceExpand = braceExpand + +function braceExpand (pattern, options) { + if (!options) { + if (this instanceof Minimatch) { + options = this.options + } else { + options = {} + } + } + + pattern = typeof pattern === 'undefined' + ? this.pattern : pattern + + if (typeof pattern === 'undefined') { + throw new TypeError('undefined pattern') + } + + if (options.nobrace || + !pattern.match(/\{.*\}/)) { + // shortcut. no need to expand. + return [pattern] + } + + return expand(pattern) +} + +// parse a component of the expanded set. +// At this point, no pattern may contain "/" in it +// so we're going to return a 2d array, where each entry is the full +// pattern, split on '/', and then turned into a regular expression. +// A regexp is made at the end which joins each array with an +// escaped /, and another full one which joins each regexp with |. +// +// Following the lead of Bash 4.1, note that "**" only has special meaning +// when it is the *only* thing in a path portion. Otherwise, any series +// of * is equivalent to a single *. Globstar behavior is enabled by +// default, and can be disabled by setting options.noglobstar. +Minimatch.prototype.parse = parse +var SUBPARSE = {} +function parse (pattern, isSub) { + if (pattern.length > 1024 * 64) { + throw new TypeError('pattern is too long') + } + + var options = this.options + + // shortcuts + if (!options.noglobstar && pattern === '**') return GLOBSTAR + if (pattern === '') return '' + + var re = '' + var hasMagic = !!options.nocase + var escaping = false + // ? => one single character + var patternListStack = [] + var negativeLists = [] + var stateChar + var inClass = false + var reClassStart = -1 + var classStart = -1 + // . and .. never match anything that doesn't start with ., + // even when options.dot is set. + var patternStart = pattern.charAt(0) === '.' ? '' // anything + // not (start or / followed by . or .. followed by / or end) + : options.dot ? '(?!(?:^|\\\/)\\.{1,2}(?:$|\\\/))' + : '(?!\\.)' + var self = this + + function clearStateChar () { + if (stateChar) { + // we had some state-tracking character + // that wasn't consumed by this pass. + switch (stateChar) { + case '*': + re += star + hasMagic = true + break + case '?': + re += qmark + hasMagic = true + break + default: + re += '\\' + stateChar + break + } + self.debug('clearStateChar %j %j', stateChar, re) + stateChar = false + } + } + + for (var i = 0, len = pattern.length, c + ; (i < len) && (c = pattern.charAt(i)) + ; i++) { + this.debug('%s\t%s %s %j', pattern, i, re, c) + + // skip over any that are escaped. + if (escaping && reSpecials[c]) { + re += '\\' + c + escaping = false + continue + } + + switch (c) { + case '/': + // completely not allowed, even escaped. + // Should already be path-split by now. + return false + + case '\\': + clearStateChar() + escaping = true + continue + + // the various stateChar values + // for the "extglob" stuff. + case '?': + case '*': + case '+': + case '@': + case '!': + this.debug('%s\t%s %s %j <-- stateChar', pattern, i, re, c) + + // all of those are literals inside a class, except that + // the glob [!a] means [^a] in regexp + if (inClass) { + this.debug(' in class') + if (c === '!' && i === classStart + 1) c = '^' + re += c + continue + } + + // if we already have a stateChar, then it means + // that there was something like ** or +? in there. + // Handle the stateChar, then proceed with this one. + self.debug('call clearStateChar %j', stateChar) + clearStateChar() + stateChar = c + // if extglob is disabled, then +(asdf|foo) isn't a thing. + // just clear the statechar *now*, rather than even diving into + // the patternList stuff. + if (options.noext) clearStateChar() + continue + + case '(': + if (inClass) { + re += '(' + continue + } + + if (!stateChar) { + re += '\\(' + continue + } + + patternListStack.push({ + type: stateChar, + start: i - 1, + reStart: re.length, + open: plTypes[stateChar].open, + close: plTypes[stateChar].close + }) + // negation is (?:(?!js)[^/]*) + re += stateChar === '!' ? '(?:(?!(?:' : '(?:' + this.debug('plType %j %j', stateChar, re) + stateChar = false + continue + + case ')': + if (inClass || !patternListStack.length) { + re += '\\)' + continue + } + + clearStateChar() + hasMagic = true + var pl = patternListStack.pop() + // negation is (?:(?!js)[^/]*) + // The others are (?:) + re += pl.close + if (pl.type === '!') { + negativeLists.push(pl) + } + pl.reEnd = re.length + continue + + case '|': + if (inClass || !patternListStack.length || escaping) { + re += '\\|' + escaping = false + continue + } + + clearStateChar() + re += '|' + continue + + // these are mostly the same in regexp and glob + case '[': + // swallow any state-tracking char before the [ + clearStateChar() + + if (inClass) { + re += '\\' + c + continue + } + + inClass = true + classStart = i + reClassStart = re.length + re += c + continue + + case ']': + // a right bracket shall lose its special + // meaning and represent itself in + // a bracket expression if it occurs + // first in the list. -- POSIX.2 2.8.3.2 + if (i === classStart + 1 || !inClass) { + re += '\\' + c + escaping = false + continue + } + + // handle the case where we left a class open. + // "[z-a]" is valid, equivalent to "\[z-a\]" + if (inClass) { + // split where the last [ was, make sure we don't have + // an invalid re. if so, re-walk the contents of the + // would-be class to re-translate any characters that + // were passed through as-is + // TODO: It would probably be faster to determine this + // without a try/catch and a new RegExp, but it's tricky + // to do safely. For now, this is safe and works. + var cs = pattern.substring(classStart + 1, i) + try { + RegExp('[' + cs + ']') + } catch (er) { + // not a valid class! + var sp = this.parse(cs, SUBPARSE) + re = re.substr(0, reClassStart) + '\\[' + sp[0] + '\\]' + hasMagic = hasMagic || sp[1] + inClass = false + continue + } + } + + // finish up the class. + hasMagic = true + inClass = false + re += c + continue + + default: + // swallow any state char that wasn't consumed + clearStateChar() + + if (escaping) { + // no need + escaping = false + } else if (reSpecials[c] + && !(c === '^' && inClass)) { + re += '\\' + } + + re += c + + } // switch + } // for + + // handle the case where we left a class open. + // "[abc" is valid, equivalent to "\[abc" + if (inClass) { + // split where the last [ was, and escape it + // this is a huge pita. We now have to re-walk + // the contents of the would-be class to re-translate + // any characters that were passed through as-is + cs = pattern.substr(classStart + 1) + sp = this.parse(cs, SUBPARSE) + re = re.substr(0, reClassStart) + '\\[' + sp[0] + hasMagic = hasMagic || sp[1] + } + + // handle the case where we had a +( thing at the *end* + // of the pattern. + // each pattern list stack adds 3 chars, and we need to go through + // and escape any | chars that were passed through as-is for the regexp. + // Go through and escape them, taking care not to double-escape any + // | chars that were already escaped. + for (pl = patternListStack.pop(); pl; pl = patternListStack.pop()) { + var tail = re.slice(pl.reStart + pl.open.length) + this.debug('setting tail', re, pl) + // maybe some even number of \, then maybe 1 \, followed by a | + tail = tail.replace(/((?:\\{2}){0,64})(\\?)\|/g, function (_, $1, $2) { + if (!$2) { + // the | isn't already escaped, so escape it. + $2 = '\\' + } + + // need to escape all those slashes *again*, without escaping the + // one that we need for escaping the | character. As it works out, + // escaping an even number of slashes can be done by simply repeating + // it exactly after itself. That's why this trick works. + // + // I am sorry that you have to see this. + return $1 + $1 + $2 + '|' + }) + + this.debug('tail=%j\n %s', tail, tail, pl, re) + var t = pl.type === '*' ? star + : pl.type === '?' ? qmark + : '\\' + pl.type + + hasMagic = true + re = re.slice(0, pl.reStart) + t + '\\(' + tail + } + + // handle trailing things that only matter at the very end. + clearStateChar() + if (escaping) { + // trailing \\ + re += '\\\\' + } + + // only need to apply the nodot start if the re starts with + // something that could conceivably capture a dot + var addPatternStart = false + switch (re.charAt(0)) { + case '.': + case '[': + case '(': addPatternStart = true + } + + // Hack to work around lack of negative lookbehind in JS + // A pattern like: *.!(x).!(y|z) needs to ensure that a name + // like 'a.xyz.yz' doesn't match. So, the first negative + // lookahead, has to look ALL the way ahead, to the end of + // the pattern. + for (var n = negativeLists.length - 1; n > -1; n--) { + var nl = negativeLists[n] + + var nlBefore = re.slice(0, nl.reStart) + var nlFirst = re.slice(nl.reStart, nl.reEnd - 8) + var nlLast = re.slice(nl.reEnd - 8, nl.reEnd) + var nlAfter = re.slice(nl.reEnd) + + nlLast += nlAfter + + // Handle nested stuff like *(*.js|!(*.json)), where open parens + // mean that we should *not* include the ) in the bit that is considered + // "after" the negated section. + var openParensBefore = nlBefore.split('(').length - 1 + var cleanAfter = nlAfter + for (i = 0; i < openParensBefore; i++) { + cleanAfter = cleanAfter.replace(/\)[+*?]?/, '') + } + nlAfter = cleanAfter + + var dollar = '' + if (nlAfter === '' && isSub !== SUBPARSE) { + dollar = '$' + } + var newRe = nlBefore + nlFirst + nlAfter + dollar + nlLast + re = newRe + } + + // if the re is not "" at this point, then we need to make sure + // it doesn't match against an empty path part. + // Otherwise a/* will match a/, which it should not. + if (re !== '' && hasMagic) { + re = '(?=.)' + re + } + + if (addPatternStart) { + re = patternStart + re + } + + // parsing just a piece of a larger pattern. + if (isSub === SUBPARSE) { + return [re, hasMagic] + } + + // skip the regexp for non-magical patterns + // unescape anything in it, though, so that it'll be + // an exact match against a file etc. + if (!hasMagic) { + return globUnescape(pattern) + } + + var flags = options.nocase ? 'i' : '' + try { + var regExp = new RegExp('^' + re + '$', flags) + } catch (er) { + // If it was an invalid regular expression, then it can't match + // anything. This trick looks for a character after the end of + // the string, which is of course impossible, except in multi-line + // mode, but it's not a /m regex. + return new RegExp('$.') + } + + regExp._glob = pattern + regExp._src = re + + return regExp +} + +minimatch.makeRe = function (pattern, options) { + return new Minimatch(pattern, options || {}).makeRe() +} + +Minimatch.prototype.makeRe = makeRe +function makeRe () { + if (this.regexp || this.regexp === false) return this.regexp + + // at this point, this.set is a 2d array of partial + // pattern strings, or "**". + // + // It's better to use .match(). This function shouldn't + // be used, really, but it's pretty convenient sometimes, + // when you just want to work with a regex. + var set = this.set + + if (!set.length) { + this.regexp = false + return this.regexp + } + var options = this.options + + var twoStar = options.noglobstar ? star + : options.dot ? twoStarDot + : twoStarNoDot + var flags = options.nocase ? 'i' : '' + + var re = set.map(function (pattern) { + return pattern.map(function (p) { + return (p === GLOBSTAR) ? twoStar + : (typeof p === 'string') ? regExpEscape(p) + : p._src + }).join('\\\/') + }).join('|') + + // must match entire pattern + // ending in a * or ** will make it less strict. + re = '^(?:' + re + ')$' + + // can match anything, as long as it's not this. + if (this.negate) re = '^(?!' + re + ').*$' + + try { + this.regexp = new RegExp(re, flags) + } catch (ex) { + this.regexp = false + } + return this.regexp +} + +minimatch.match = function (list, pattern, options) { + options = options || {} + var mm = new Minimatch(pattern, options) + list = list.filter(function (f) { + return mm.match(f) + }) + if (mm.options.nonull && !list.length) { + list.push(pattern) + } + return list +} + +Minimatch.prototype.match = match +function match (f, partial) { + this.debug('match', f, this.pattern) + // short-circuit in the case of busted things. + // comments, etc. + if (this.comment) return false + if (this.empty) return f === '' + + if (f === '/' && partial) return true + + var options = this.options + + // windows: need to use /, not \ + if (path.sep !== '/') { + f = f.split(path.sep).join('/') + } + + // treat the test path as a set of pathparts. + f = f.split(slashSplit) + this.debug(this.pattern, 'split', f) + + // just ONE of the pattern sets in this.set needs to match + // in order for it to be valid. If negating, then just one + // match means that we have failed. + // Either way, return on the first hit. + + var set = this.set + this.debug(this.pattern, 'set', set) + + // Find the basename of the path by looking for the last non-empty segment + var filename + var i + for (i = f.length - 1; i >= 0; i--) { + filename = f[i] + if (filename) break + } + + for (i = 0; i < set.length; i++) { + var pattern = set[i] + var file = f + if (options.matchBase && pattern.length === 1) { + file = [filename] + } + var hit = this.matchOne(file, pattern, partial) + if (hit) { + if (options.flipNegate) return true + return !this.negate + } + } + + // didn't get any hits. this is success if it's a negative + // pattern, failure otherwise. + if (options.flipNegate) return false + return this.negate +} + +// set partial to true to test if, for example, +// "/a/b" matches the start of "/*/b/*/d" +// Partial means, if you run out of file before you run +// out of pattern, then that's fine, as long as all +// the parts match. +Minimatch.prototype.matchOne = function (file, pattern, partial) { + var options = this.options + + this.debug('matchOne', + { 'this': this, file: file, pattern: pattern }) + + this.debug('matchOne', file.length, pattern.length) + + for (var fi = 0, + pi = 0, + fl = file.length, + pl = pattern.length + ; (fi < fl) && (pi < pl) + ; fi++, pi++) { + this.debug('matchOne loop') + var p = pattern[pi] + var f = file[fi] + + this.debug(pattern, p, f) + + // should be impossible. + // some invalid regexp stuff in the set. + if (p === false) return false + + if (p === GLOBSTAR) { + this.debug('GLOBSTAR', [pattern, p, f]) + + // "**" + // a/**/b/**/c would match the following: + // a/b/x/y/z/c + // a/x/y/z/b/c + // a/b/x/b/x/c + // a/b/c + // To do this, take the rest of the pattern after + // the **, and see if it would match the file remainder. + // If so, return success. + // If not, the ** "swallows" a segment, and try again. + // This is recursively awful. + // + // a/**/b/**/c matching a/b/x/y/z/c + // - a matches a + // - doublestar + // - matchOne(b/x/y/z/c, b/**/c) + // - b matches b + // - doublestar + // - matchOne(x/y/z/c, c) -> no + // - matchOne(y/z/c, c) -> no + // - matchOne(z/c, c) -> no + // - matchOne(c, c) yes, hit + var fr = fi + var pr = pi + 1 + if (pr === pl) { + this.debug('** at the end') + // a ** at the end will just swallow the rest. + // We have found a match. + // however, it will not swallow /.x, unless + // options.dot is set. + // . and .. are *never* matched by **, for explosively + // exponential reasons. + for (; fi < fl; fi++) { + if (file[fi] === '.' || file[fi] === '..' || + (!options.dot && file[fi].charAt(0) === '.')) return false + } + return true + } + + // ok, let's see if we can swallow whatever we can. + while (fr < fl) { + var swallowee = file[fr] + + this.debug('\nglobstar while', file, fr, pattern, pr, swallowee) + + // XXX remove this slice. Just pass the start index. + if (this.matchOne(file.slice(fr), pattern.slice(pr), partial)) { + this.debug('globstar found match!', fr, fl, swallowee) + // found a match. + return true + } else { + // can't swallow "." or ".." ever. + // can only swallow ".foo" when explicitly asked. + if (swallowee === '.' || swallowee === '..' || + (!options.dot && swallowee.charAt(0) === '.')) { + this.debug('dot detected!', file, fr, pattern, pr) + break + } + + // ** swallows a segment, and continue. + this.debug('globstar swallow a segment, and continue') + fr++ + } + } + + // no match was found. + // However, in partial mode, we can't say this is necessarily over. + // If there's more *pattern* left, then + if (partial) { + // ran out of file + this.debug('\n>>> no match, partial?', file, fr, pattern, pr) + if (fr === fl) return true + } + return false + } + + // something other than ** + // non-magic patterns just have to match exactly + // patterns with magic have been turned into regexps. + var hit + if (typeof p === 'string') { + if (options.nocase) { + hit = f.toLowerCase() === p.toLowerCase() + } else { + hit = f === p + } + this.debug('string match', p, f, hit) + } else { + hit = f.match(p) + this.debug('pattern match', p, f, hit) + } + + if (!hit) return false + } + + // Note: ending in / means that we'll get a final "" + // at the end of the pattern. This can only match a + // corresponding "" at the end of the file. + // If the file ends in /, then it can only match a + // a pattern that ends in /, unless the pattern just + // doesn't have any more for it. But, a/b/ should *not* + // match "a/b/*", even though "" matches against the + // [^/]*? pattern, except in partial mode, where it might + // simply not be reached yet. + // However, a/b/ should still satisfy a/* + + // now either we fell off the end of the pattern, or we're done. + if (fi === fl && pi === pl) { + // ran out of pattern and filename at the same time. + // an exact hit! + return true + } else if (fi === fl) { + // ran out of file, but still had pattern left. + // this is ok if we're doing the match as part of + // a glob fs traversal. + return partial + } else if (pi === pl) { + // ran out of pattern, still have file left. + // this is only acceptable if we're on the very last + // empty segment of a file with a trailing slash. + // a/* should match a/b/ + var emptyFileEnd = (fi === fl - 1) && (file[fi] === '') + return emptyFileEnd + } + + // should be unreachable. + throw new Error('wtf?') +} + +// replace stuff like \* with * +function globUnescape (s) { + return s.replace(/\\(.)/g, '$1') +} + +function regExpEscape (s) { + return s.replace(/[-[\]{}()*+?.,\\^$|#\s]/g, '\\$&') +} + +},{"brace-expansion":11,"path":22}],21:[function(require,module,exports){ +var wrappy = require('wrappy') +module.exports = wrappy(once) +module.exports.strict = wrappy(onceStrict) + +once.proto = once(function () { + Object.defineProperty(Function.prototype, 'once', { + value: function () { + return once(this) + }, + configurable: true + }) + + Object.defineProperty(Function.prototype, 'onceStrict', { + value: function () { + return onceStrict(this) + }, + configurable: true + }) +}) + +function once (fn) { + var f = function () { + if (f.called) return f.value + f.called = true + return f.value = fn.apply(this, arguments) + } + f.called = false + return f +} + +function onceStrict (fn) { + var f = function () { + if (f.called) + throw new Error(f.onceError) + f.called = true + return f.value = fn.apply(this, arguments) + } + var name = fn.name || 'Function wrapped with `once`' + f.onceError = name + " shouldn't be called more than once" + f.called = false + return f +} + +},{"wrappy":29}],22:[function(require,module,exports){ +(function (process){ +// Copyright Joyent, Inc. and other Node contributors. +// +// Permission is hereby granted, free of charge, to any person obtaining a +// copy of this software and associated documentation files (the +// "Software"), to deal in the Software without restriction, including +// without limitation the rights to use, copy, modify, merge, publish, +// distribute, sublicense, and/or sell copies of the Software, and to permit +// persons to whom the Software is furnished to do so, subject to the +// following conditions: +// +// The above copyright notice and this permission notice shall be included +// in all copies or substantial portions of the Software. +// +// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS +// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN +// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, +// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR +// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE +// USE OR OTHER DEALINGS IN THE SOFTWARE. + +// resolves . and .. elements in a path array with directory names there +// must be no slashes, empty elements, or device names (c:\) in the array +// (so also no leading and trailing slashes - it does not distinguish +// relative and absolute paths) +function normalizeArray(parts, allowAboveRoot) { + // if the path tries to go above the root, `up` ends up > 0 + var up = 0; + for (var i = parts.length - 1; i >= 0; i--) { + var last = parts[i]; + if (last === '.') { + parts.splice(i, 1); + } else if (last === '..') { + parts.splice(i, 1); + up++; + } else if (up) { + parts.splice(i, 1); + up--; + } + } + + // if the path is allowed to go above the root, restore leading ..s + if (allowAboveRoot) { + for (; up--; up) { + parts.unshift('..'); + } + } + + return parts; +} + +// Split a filename into [root, dir, basename, ext], unix version +// 'root' is just a slash, or nothing. +var splitPathRe = + /^(\/?|)([\s\S]*?)((?:\.{1,2}|[^\/]+?|)(\.[^.\/]*|))(?:[\/]*)$/; +var splitPath = function(filename) { + return splitPathRe.exec(filename).slice(1); +}; + +// path.resolve([from ...], to) +// posix version +exports.resolve = function() { + var resolvedPath = '', + resolvedAbsolute = false; + + for (var i = arguments.length - 1; i >= -1 && !resolvedAbsolute; i--) { + var path = (i >= 0) ? arguments[i] : process.cwd(); + + // Skip empty and invalid entries + if (typeof path !== 'string') { + throw new TypeError('Arguments to path.resolve must be strings'); + } else if (!path) { + continue; + } + + resolvedPath = path + '/' + resolvedPath; + resolvedAbsolute = path.charAt(0) === '/'; + } + + // At this point the path should be resolved to a full absolute path, but + // handle relative paths to be safe (might happen when process.cwd() fails) + + // Normalize the path + resolvedPath = normalizeArray(filter(resolvedPath.split('/'), function(p) { + return !!p; + }), !resolvedAbsolute).join('/'); + + return ((resolvedAbsolute ? '/' : '') + resolvedPath) || '.'; +}; + +// path.normalize(path) +// posix version +exports.normalize = function(path) { + var isAbsolute = exports.isAbsolute(path), + trailingSlash = substr(path, -1) === '/'; + + // Normalize the path + path = normalizeArray(filter(path.split('/'), function(p) { + return !!p; + }), !isAbsolute).join('/'); + + if (!path && !isAbsolute) { + path = '.'; + } + if (path && trailingSlash) { + path += '/'; + } + + return (isAbsolute ? '/' : '') + path; +}; + +// posix version +exports.isAbsolute = function(path) { + return path.charAt(0) === '/'; +}; + +// posix version +exports.join = function() { + var paths = Array.prototype.slice.call(arguments, 0); + return exports.normalize(filter(paths, function(p, index) { + if (typeof p !== 'string') { + throw new TypeError('Arguments to path.join must be strings'); + } + return p; + }).join('/')); +}; + + +// path.relative(from, to) +// posix version +exports.relative = function(from, to) { + from = exports.resolve(from).substr(1); + to = exports.resolve(to).substr(1); + + function trim(arr) { + var start = 0; + for (; start < arr.length; start++) { + if (arr[start] !== '') break; + } + + var end = arr.length - 1; + for (; end >= 0; end--) { + if (arr[end] !== '') break; + } + + if (start > end) return []; + return arr.slice(start, end - start + 1); + } + + var fromParts = trim(from.split('/')); + var toParts = trim(to.split('/')); + + var length = Math.min(fromParts.length, toParts.length); + var samePartsLength = length; + for (var i = 0; i < length; i++) { + if (fromParts[i] !== toParts[i]) { + samePartsLength = i; + break; + } + } + + var outputParts = []; + for (var i = samePartsLength; i < fromParts.length; i++) { + outputParts.push('..'); + } + + outputParts = outputParts.concat(toParts.slice(samePartsLength)); + + return outputParts.join('/'); +}; + +exports.sep = '/'; +exports.delimiter = ':'; + +exports.dirname = function(path) { + var result = splitPath(path), + root = result[0], + dir = result[1]; + + if (!root && !dir) { + // No dirname whatsoever + return '.'; + } + + if (dir) { + // It has a dirname, strip trailing slash + dir = dir.substr(0, dir.length - 1); + } + + return root + dir; +}; + + +exports.basename = function(path, ext) { + var f = splitPath(path)[2]; + // TODO: make this comparison case-insensitive on windows? + if (ext && f.substr(-1 * ext.length) === ext) { + f = f.substr(0, f.length - ext.length); + } + return f; +}; + + +exports.extname = function(path) { + return splitPath(path)[3]; +}; + +function filter (xs, f) { + if (xs.filter) return xs.filter(f); + var res = []; + for (var i = 0; i < xs.length; i++) { + if (f(xs[i], i, xs)) res.push(xs[i]); + } + return res; +} + +// String.prototype.substr - negative index don't work in IE8 +var substr = 'ab'.substr(-1) === 'b' + ? function (str, start, len) { return str.substr(start, len) } + : function (str, start, len) { + if (start < 0) start = str.length + start; + return str.substr(start, len); + } +; + +}).call(this,require('_process')) +},{"_process":24}],23:[function(require,module,exports){ +(function (process){ +'use strict'; + +function posix(path) { + return path.charAt(0) === '/'; +} + +function win32(path) { + // https://github.com/nodejs/node/blob/b3fcc245fb25539909ef1d5eaa01dbf92e168633/lib/path.js#L56 + var splitDeviceRe = /^([a-zA-Z]:|[\\\/]{2}[^\\\/]+[\\\/]+[^\\\/]+)?([\\\/])?([\s\S]*?)$/; + var result = splitDeviceRe.exec(path); + var device = result[1] || ''; + var isUnc = Boolean(device && device.charAt(1) !== ':'); + + // UNC paths are always absolute + return Boolean(result[2] || isUnc); +} + +module.exports = process.platform === 'win32' ? win32 : posix; +module.exports.posix = posix; +module.exports.win32 = win32; + +}).call(this,require('_process')) +},{"_process":24}],24:[function(require,module,exports){ +// shim for using process in browser +var process = module.exports = {}; + +// cached from whatever global is present so that test runners that stub it +// don't break things. But we need to wrap it in a try catch in case it is +// wrapped in strict mode code which doesn't define any globals. It's inside a +// function because try/catches deoptimize in certain engines. + +var cachedSetTimeout; +var cachedClearTimeout; + +function defaultSetTimout() { + throw new Error('setTimeout has not been defined'); +} +function defaultClearTimeout () { + throw new Error('clearTimeout has not been defined'); +} +(function () { + try { + if (typeof setTimeout === 'function') { + cachedSetTimeout = setTimeout; + } else { + cachedSetTimeout = defaultSetTimout; + } + } catch (e) { + cachedSetTimeout = defaultSetTimout; + } + try { + if (typeof clearTimeout === 'function') { + cachedClearTimeout = clearTimeout; + } else { + cachedClearTimeout = defaultClearTimeout; + } + } catch (e) { + cachedClearTimeout = defaultClearTimeout; + } +} ()) +function runTimeout(fun) { + if (cachedSetTimeout === setTimeout) { + //normal enviroments in sane situations + return setTimeout(fun, 0); + } + // if setTimeout wasn't available but was latter defined + if ((cachedSetTimeout === defaultSetTimout || !cachedSetTimeout) && setTimeout) { + cachedSetTimeout = setTimeout; + return setTimeout(fun, 0); + } + try { + // when when somebody has screwed with setTimeout but no I.E. maddness + return cachedSetTimeout(fun, 0); + } catch(e){ + try { + // When we are in I.E. but the script has been evaled so I.E. doesn't trust the global object when called normally + return cachedSetTimeout.call(null, fun, 0); + } catch(e){ + // same as above but when it's a version of I.E. that must have the global object for 'this', hopfully our context correct otherwise it will throw a global error + return cachedSetTimeout.call(this, fun, 0); + } + } + + +} +function runClearTimeout(marker) { + if (cachedClearTimeout === clearTimeout) { + //normal enviroments in sane situations + return clearTimeout(marker); + } + // if clearTimeout wasn't available but was latter defined + if ((cachedClearTimeout === defaultClearTimeout || !cachedClearTimeout) && clearTimeout) { + cachedClearTimeout = clearTimeout; + return clearTimeout(marker); + } + try { + // when when somebody has screwed with setTimeout but no I.E. maddness + return cachedClearTimeout(marker); + } catch (e){ + try { + // When we are in I.E. but the script has been evaled so I.E. doesn't trust the global object when called normally + return cachedClearTimeout.call(null, marker); + } catch (e){ + // same as above but when it's a version of I.E. that must have the global object for 'this', hopfully our context correct otherwise it will throw a global error. + // Some versions of I.E. have different rules for clearTimeout vs setTimeout + return cachedClearTimeout.call(this, marker); + } + } + + + +} +var queue = []; +var draining = false; +var currentQueue; +var queueIndex = -1; + +function cleanUpNextTick() { + if (!draining || !currentQueue) { + return; + } + draining = false; + if (currentQueue.length) { + queue = currentQueue.concat(queue); + } else { + queueIndex = -1; + } + if (queue.length) { + drainQueue(); + } +} + +function drainQueue() { + if (draining) { + return; + } + var timeout = runTimeout(cleanUpNextTick); + draining = true; + + var len = queue.length; + while(len) { + currentQueue = queue; + queue = []; + while (++queueIndex < len) { + if (currentQueue) { + currentQueue[queueIndex].run(); + } + } + queueIndex = -1; + len = queue.length; + } + currentQueue = null; + draining = false; + runClearTimeout(timeout); +} + +process.nextTick = function (fun) { + var args = new Array(arguments.length - 1); + if (arguments.length > 1) { + for (var i = 1; i < arguments.length; i++) { + args[i - 1] = arguments[i]; + } + } + queue.push(new Item(fun, args)); + if (queue.length === 1 && !draining) { + runTimeout(drainQueue); + } +}; + +// v8 likes predictible objects +function Item(fun, array) { + this.fun = fun; + this.array = array; +} +Item.prototype.run = function () { + this.fun.apply(null, this.array); +}; +process.title = 'browser'; +process.browser = true; +process.env = {}; +process.argv = []; +process.version = ''; // empty string to avoid regexp issues +process.versions = {}; + +function noop() {} + +process.on = noop; +process.addListener = noop; +process.once = noop; +process.off = noop; +process.removeListener = noop; +process.removeAllListeners = noop; +process.emit = noop; +process.prependListener = noop; +process.prependOnceListener = noop; + +process.listeners = function (name) { return [] } + +process.binding = function (name) { + throw new Error('process.binding is not supported'); +}; + +process.cwd = function () { return '/' }; +process.chdir = function (dir) { + throw new Error('process.chdir is not supported'); +}; +process.umask = function() { return 0; }; + +},{}],25:[function(require,module,exports){ +// Underscore.js 1.8.3 +// http://underscorejs.org +// (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors +// Underscore may be freely distributed under the MIT license. + +(function() { + + // Baseline setup + // -------------- + + // Establish the root object, `window` in the browser, or `exports` on the server. + var root = this; + + // Save the previous value of the `_` variable. + var previousUnderscore = root._; + + // Save bytes in the minified (but not gzipped) version: + var ArrayProto = Array.prototype, ObjProto = Object.prototype, FuncProto = Function.prototype; + + // Create quick reference variables for speed access to core prototypes. + var + push = ArrayProto.push, + slice = ArrayProto.slice, + toString = ObjProto.toString, + hasOwnProperty = ObjProto.hasOwnProperty; + + // All **ECMAScript 5** native function implementations that we hope to use + // are declared here. + var + nativeIsArray = Array.isArray, + nativeKeys = Object.keys, + nativeBind = FuncProto.bind, + nativeCreate = Object.create; + + // Naked function reference for surrogate-prototype-swapping. + var Ctor = function(){}; + + // Create a safe reference to the Underscore object for use below. + var _ = function(obj) { + if (obj instanceof _) return obj; + if (!(this instanceof _)) return new _(obj); + this._wrapped = obj; + }; + + // Export the Underscore object for **Node.js**, with + // backwards-compatibility for the old `require()` API. If we're in + // the browser, add `_` as a global object. + if (typeof exports !== 'undefined') { + if (typeof module !== 'undefined' && module.exports) { + exports = module.exports = _; + } + exports._ = _; + } else { + root._ = _; + } + + // Current version. + _.VERSION = '1.8.3'; + + // Internal function that returns an efficient (for current engines) version + // of the passed-in callback, to be repeatedly applied in other Underscore + // functions. + var optimizeCb = function(func, context, argCount) { + if (context === void 0) return func; + switch (argCount == null ? 3 : argCount) { + case 1: return function(value) { + return func.call(context, value); + }; + case 2: return function(value, other) { + return func.call(context, value, other); + }; + case 3: return function(value, index, collection) { + return func.call(context, value, index, collection); + }; + case 4: return function(accumulator, value, index, collection) { + return func.call(context, accumulator, value, index, collection); + }; + } + return function() { + return func.apply(context, arguments); + }; + }; + + // A mostly-internal function to generate callbacks that can be applied + // to each element in a collection, returning the desired result — either + // identity, an arbitrary callback, a property matcher, or a property accessor. + var cb = function(value, context, argCount) { + if (value == null) return _.identity; + if (_.isFunction(value)) return optimizeCb(value, context, argCount); + if (_.isObject(value)) return _.matcher(value); + return _.property(value); + }; + _.iteratee = function(value, context) { + return cb(value, context, Infinity); + }; + + // An internal function for creating assigner functions. + var createAssigner = function(keysFunc, undefinedOnly) { + return function(obj) { + var length = arguments.length; + if (length < 2 || obj == null) return obj; + for (var index = 1; index < length; index++) { + var source = arguments[index], + keys = keysFunc(source), + l = keys.length; + for (var i = 0; i < l; i++) { + var key = keys[i]; + if (!undefinedOnly || obj[key] === void 0) obj[key] = source[key]; + } + } + return obj; + }; + }; + + // An internal function for creating a new object that inherits from another. + var baseCreate = function(prototype) { + if (!_.isObject(prototype)) return {}; + if (nativeCreate) return nativeCreate(prototype); + Ctor.prototype = prototype; + var result = new Ctor; + Ctor.prototype = null; + return result; + }; + + var property = function(key) { + return function(obj) { + return obj == null ? void 0 : obj[key]; + }; + }; + + // Helper for collection methods to determine whether a collection + // should be iterated as an array or as an object + // Related: http://people.mozilla.org/~jorendorff/es6-draft.html#sec-tolength + // Avoids a very nasty iOS 8 JIT bug on ARM-64. #2094 + var MAX_ARRAY_INDEX = Math.pow(2, 53) - 1; + var getLength = property('length'); + var isArrayLike = function(collection) { + var length = getLength(collection); + return typeof length == 'number' && length >= 0 && length <= MAX_ARRAY_INDEX; + }; + + // Collection Functions + // -------------------- + + // The cornerstone, an `each` implementation, aka `forEach`. + // Handles raw objects in addition to array-likes. Treats all + // sparse array-likes as if they were dense. + _.each = _.forEach = function(obj, iteratee, context) { + iteratee = optimizeCb(iteratee, context); + var i, length; + if (isArrayLike(obj)) { + for (i = 0, length = obj.length; i < length; i++) { + iteratee(obj[i], i, obj); + } + } else { + var keys = _.keys(obj); + for (i = 0, length = keys.length; i < length; i++) { + iteratee(obj[keys[i]], keys[i], obj); + } + } + return obj; + }; + + // Return the results of applying the iteratee to each element. + _.map = _.collect = function(obj, iteratee, context) { + iteratee = cb(iteratee, context); + var keys = !isArrayLike(obj) && _.keys(obj), + length = (keys || obj).length, + results = Array(length); + for (var index = 0; index < length; index++) { + var currentKey = keys ? keys[index] : index; + results[index] = iteratee(obj[currentKey], currentKey, obj); + } + return results; + }; + + // Create a reducing function iterating left or right. + function createReduce(dir) { + // Optimized iterator function as using arguments.length + // in the main function will deoptimize the, see #1991. + function iterator(obj, iteratee, memo, keys, index, length) { + for (; index >= 0 && index < length; index += dir) { + var currentKey = keys ? keys[index] : index; + memo = iteratee(memo, obj[currentKey], currentKey, obj); + } + return memo; + } + + return function(obj, iteratee, memo, context) { + iteratee = optimizeCb(iteratee, context, 4); + var keys = !isArrayLike(obj) && _.keys(obj), + length = (keys || obj).length, + index = dir > 0 ? 0 : length - 1; + // Determine the initial value if none is provided. + if (arguments.length < 3) { + memo = obj[keys ? keys[index] : index]; + index += dir; + } + return iterator(obj, iteratee, memo, keys, index, length); + }; + } + + // **Reduce** builds up a single result from a list of values, aka `inject`, + // or `foldl`. + _.reduce = _.foldl = _.inject = createReduce(1); + + // The right-associative version of reduce, also known as `foldr`. + _.reduceRight = _.foldr = createReduce(-1); + + // Return the first value which passes a truth test. Aliased as `detect`. + _.find = _.detect = function(obj, predicate, context) { + var key; + if (isArrayLike(obj)) { + key = _.findIndex(obj, predicate, context); + } else { + key = _.findKey(obj, predicate, context); + } + if (key !== void 0 && key !== -1) return obj[key]; + }; + + // Return all the elements that pass a truth test. + // Aliased as `select`. + _.filter = _.select = function(obj, predicate, context) { + var results = []; + predicate = cb(predicate, context); + _.each(obj, function(value, index, list) { + if (predicate(value, index, list)) results.push(value); + }); + return results; + }; + + // Return all the elements for which a truth test fails. + _.reject = function(obj, predicate, context) { + return _.filter(obj, _.negate(cb(predicate)), context); + }; + + // Determine whether all of the elements match a truth test. + // Aliased as `all`. + _.every = _.all = function(obj, predicate, context) { + predicate = cb(predicate, context); + var keys = !isArrayLike(obj) && _.keys(obj), + length = (keys || obj).length; + for (var index = 0; index < length; index++) { + var currentKey = keys ? keys[index] : index; + if (!predicate(obj[currentKey], currentKey, obj)) return false; + } + return true; + }; + + // Determine if at least one element in the object matches a truth test. + // Aliased as `any`. + _.some = _.any = function(obj, predicate, context) { + predicate = cb(predicate, context); + var keys = !isArrayLike(obj) && _.keys(obj), + length = (keys || obj).length; + for (var index = 0; index < length; index++) { + var currentKey = keys ? keys[index] : index; + if (predicate(obj[currentKey], currentKey, obj)) return true; + } + return false; + }; + + // Determine if the array or object contains a given item (using `===`). + // Aliased as `includes` and `include`. + _.contains = _.includes = _.include = function(obj, item, fromIndex, guard) { + if (!isArrayLike(obj)) obj = _.values(obj); + if (typeof fromIndex != 'number' || guard) fromIndex = 0; + return _.indexOf(obj, item, fromIndex) >= 0; + }; + + // Invoke a method (with arguments) on every item in a collection. + _.invoke = function(obj, method) { + var args = slice.call(arguments, 2); + var isFunc = _.isFunction(method); + return _.map(obj, function(value) { + var func = isFunc ? method : value[method]; + return func == null ? func : func.apply(value, args); + }); + }; + + // Convenience version of a common use case of `map`: fetching a property. + _.pluck = function(obj, key) { + return _.map(obj, _.property(key)); + }; + + // Convenience version of a common use case of `filter`: selecting only objects + // containing specific `key:value` pairs. + _.where = function(obj, attrs) { + return _.filter(obj, _.matcher(attrs)); + }; + + // Convenience version of a common use case of `find`: getting the first object + // containing specific `key:value` pairs. + _.findWhere = function(obj, attrs) { + return _.find(obj, _.matcher(attrs)); + }; + + // Return the maximum element (or element-based computation). + _.max = function(obj, iteratee, context) { + var result = -Infinity, lastComputed = -Infinity, + value, computed; + if (iteratee == null && obj != null) { + obj = isArrayLike(obj) ? obj : _.values(obj); + for (var i = 0, length = obj.length; i < length; i++) { + value = obj[i]; + if (value > result) { + result = value; + } + } + } else { + iteratee = cb(iteratee, context); + _.each(obj, function(value, index, list) { + computed = iteratee(value, index, list); + if (computed > lastComputed || computed === -Infinity && result === -Infinity) { + result = value; + lastComputed = computed; + } + }); + } + return result; + }; + + // Return the minimum element (or element-based computation). + _.min = function(obj, iteratee, context) { + var result = Infinity, lastComputed = Infinity, + value, computed; + if (iteratee == null && obj != null) { + obj = isArrayLike(obj) ? obj : _.values(obj); + for (var i = 0, length = obj.length; i < length; i++) { + value = obj[i]; + if (value < result) { + result = value; + } + } + } else { + iteratee = cb(iteratee, context); + _.each(obj, function(value, index, list) { + computed = iteratee(value, index, list); + if (computed < lastComputed || computed === Infinity && result === Infinity) { + result = value; + lastComputed = computed; + } + }); + } + return result; + }; + + // Shuffle a collection, using the modern version of the + // [Fisher-Yates shuffle](http://en.wikipedia.org/wiki/Fisher–Yates_shuffle). + _.shuffle = function(obj) { + var set = isArrayLike(obj) ? obj : _.values(obj); + var length = set.length; + var shuffled = Array(length); + for (var index = 0, rand; index < length; index++) { + rand = _.random(0, index); + if (rand !== index) shuffled[index] = shuffled[rand]; + shuffled[rand] = set[index]; + } + return shuffled; + }; + + // Sample **n** random values from a collection. + // If **n** is not specified, returns a single random element. + // The internal `guard` argument allows it to work with `map`. + _.sample = function(obj, n, guard) { + if (n == null || guard) { + if (!isArrayLike(obj)) obj = _.values(obj); + return obj[_.random(obj.length - 1)]; + } + return _.shuffle(obj).slice(0, Math.max(0, n)); + }; + + // Sort the object's values by a criterion produced by an iteratee. + _.sortBy = function(obj, iteratee, context) { + iteratee = cb(iteratee, context); + return _.pluck(_.map(obj, function(value, index, list) { + return { + value: value, + index: index, + criteria: iteratee(value, index, list) + }; + }).sort(function(left, right) { + var a = left.criteria; + var b = right.criteria; + if (a !== b) { + if (a > b || a === void 0) return 1; + if (a < b || b === void 0) return -1; + } + return left.index - right.index; + }), 'value'); + }; + + // An internal function used for aggregate "group by" operations. + var group = function(behavior) { + return function(obj, iteratee, context) { + var result = {}; + iteratee = cb(iteratee, context); + _.each(obj, function(value, index) { + var key = iteratee(value, index, obj); + behavior(result, value, key); + }); + return result; + }; + }; + + // Groups the object's values by a criterion. Pass either a string attribute + // to group by, or a function that returns the criterion. + _.groupBy = group(function(result, value, key) { + if (_.has(result, key)) result[key].push(value); else result[key] = [value]; + }); + + // Indexes the object's values by a criterion, similar to `groupBy`, but for + // when you know that your index values will be unique. + _.indexBy = group(function(result, value, key) { + result[key] = value; + }); + + // Counts instances of an object that group by a certain criterion. Pass + // either a string attribute to count by, or a function that returns the + // criterion. + _.countBy = group(function(result, value, key) { + if (_.has(result, key)) result[key]++; else result[key] = 1; + }); + + // Safely create a real, live array from anything iterable. + _.toArray = function(obj) { + if (!obj) return []; + if (_.isArray(obj)) return slice.call(obj); + if (isArrayLike(obj)) return _.map(obj, _.identity); + return _.values(obj); + }; + + // Return the number of elements in an object. + _.size = function(obj) { + if (obj == null) return 0; + return isArrayLike(obj) ? obj.length : _.keys(obj).length; + }; + + // Split a collection into two arrays: one whose elements all satisfy the given + // predicate, and one whose elements all do not satisfy the predicate. + _.partition = function(obj, predicate, context) { + predicate = cb(predicate, context); + var pass = [], fail = []; + _.each(obj, function(value, key, obj) { + (predicate(value, key, obj) ? pass : fail).push(value); + }); + return [pass, fail]; + }; + + // Array Functions + // --------------- + + // Get the first element of an array. Passing **n** will return the first N + // values in the array. Aliased as `head` and `take`. The **guard** check + // allows it to work with `_.map`. + _.first = _.head = _.take = function(array, n, guard) { + if (array == null) return void 0; + if (n == null || guard) return array[0]; + return _.initial(array, array.length - n); + }; + + // Returns everything but the last entry of the array. Especially useful on + // the arguments object. Passing **n** will return all the values in + // the array, excluding the last N. + _.initial = function(array, n, guard) { + return slice.call(array, 0, Math.max(0, array.length - (n == null || guard ? 1 : n))); + }; + + // Get the last element of an array. Passing **n** will return the last N + // values in the array. + _.last = function(array, n, guard) { + if (array == null) return void 0; + if (n == null || guard) return array[array.length - 1]; + return _.rest(array, Math.max(0, array.length - n)); + }; + + // Returns everything but the first entry of the array. Aliased as `tail` and `drop`. + // Especially useful on the arguments object. Passing an **n** will return + // the rest N values in the array. + _.rest = _.tail = _.drop = function(array, n, guard) { + return slice.call(array, n == null || guard ? 1 : n); + }; + + // Trim out all falsy values from an array. + _.compact = function(array) { + return _.filter(array, _.identity); + }; + + // Internal implementation of a recursive `flatten` function. + var flatten = function(input, shallow, strict, startIndex) { + var output = [], idx = 0; + for (var i = startIndex || 0, length = getLength(input); i < length; i++) { + var value = input[i]; + if (isArrayLike(value) && (_.isArray(value) || _.isArguments(value))) { + //flatten current level of array or arguments object + if (!shallow) value = flatten(value, shallow, strict); + var j = 0, len = value.length; + output.length += len; + while (j < len) { + output[idx++] = value[j++]; + } + } else if (!strict) { + output[idx++] = value; + } + } + return output; + }; + + // Flatten out an array, either recursively (by default), or just one level. + _.flatten = function(array, shallow) { + return flatten(array, shallow, false); + }; + + // Return a version of the array that does not contain the specified value(s). + _.without = function(array) { + return _.difference(array, slice.call(arguments, 1)); + }; + + // Produce a duplicate-free version of the array. If the array has already + // been sorted, you have the option of using a faster algorithm. + // Aliased as `unique`. + _.uniq = _.unique = function(array, isSorted, iteratee, context) { + if (!_.isBoolean(isSorted)) { + context = iteratee; + iteratee = isSorted; + isSorted = false; + } + if (iteratee != null) iteratee = cb(iteratee, context); + var result = []; + var seen = []; + for (var i = 0, length = getLength(array); i < length; i++) { + var value = array[i], + computed = iteratee ? iteratee(value, i, array) : value; + if (isSorted) { + if (!i || seen !== computed) result.push(value); + seen = computed; + } else if (iteratee) { + if (!_.contains(seen, computed)) { + seen.push(computed); + result.push(value); + } + } else if (!_.contains(result, value)) { + result.push(value); + } + } + return result; + }; + + // Produce an array that contains the union: each distinct element from all of + // the passed-in arrays. + _.union = function() { + return _.uniq(flatten(arguments, true, true)); + }; + + // Produce an array that contains every item shared between all the + // passed-in arrays. + _.intersection = function(array) { + var result = []; + var argsLength = arguments.length; + for (var i = 0, length = getLength(array); i < length; i++) { + var item = array[i]; + if (_.contains(result, item)) continue; + for (var j = 1; j < argsLength; j++) { + if (!_.contains(arguments[j], item)) break; + } + if (j === argsLength) result.push(item); + } + return result; + }; + + // Take the difference between one array and a number of other arrays. + // Only the elements present in just the first array will remain. + _.difference = function(array) { + var rest = flatten(arguments, true, true, 1); + return _.filter(array, function(value){ + return !_.contains(rest, value); + }); + }; + + // Zip together multiple lists into a single array -- elements that share + // an index go together. + _.zip = function() { + return _.unzip(arguments); + }; + + // Complement of _.zip. Unzip accepts an array of arrays and groups + // each array's elements on shared indices + _.unzip = function(array) { + var length = array && _.max(array, getLength).length || 0; + var result = Array(length); + + for (var index = 0; index < length; index++) { + result[index] = _.pluck(array, index); + } + return result; + }; + + // Converts lists into objects. Pass either a single array of `[key, value]` + // pairs, or two parallel arrays of the same length -- one of keys, and one of + // the corresponding values. + _.object = function(list, values) { + var result = {}; + for (var i = 0, length = getLength(list); i < length; i++) { + if (values) { + result[list[i]] = values[i]; + } else { + result[list[i][0]] = list[i][1]; + } + } + return result; + }; + + // Generator function to create the findIndex and findLastIndex functions + function createPredicateIndexFinder(dir) { + return function(array, predicate, context) { + predicate = cb(predicate, context); + var length = getLength(array); + var index = dir > 0 ? 0 : length - 1; + for (; index >= 0 && index < length; index += dir) { + if (predicate(array[index], index, array)) return index; + } + return -1; + }; + } + + // Returns the first index on an array-like that passes a predicate test + _.findIndex = createPredicateIndexFinder(1); + _.findLastIndex = createPredicateIndexFinder(-1); + + // Use a comparator function to figure out the smallest index at which + // an object should be inserted so as to maintain order. Uses binary search. + _.sortedIndex = function(array, obj, iteratee, context) { + iteratee = cb(iteratee, context, 1); + var value = iteratee(obj); + var low = 0, high = getLength(array); + while (low < high) { + var mid = Math.floor((low + high) / 2); + if (iteratee(array[mid]) < value) low = mid + 1; else high = mid; + } + return low; + }; + + // Generator function to create the indexOf and lastIndexOf functions + function createIndexFinder(dir, predicateFind, sortedIndex) { + return function(array, item, idx) { + var i = 0, length = getLength(array); + if (typeof idx == 'number') { + if (dir > 0) { + i = idx >= 0 ? idx : Math.max(idx + length, i); + } else { + length = idx >= 0 ? Math.min(idx + 1, length) : idx + length + 1; + } + } else if (sortedIndex && idx && length) { + idx = sortedIndex(array, item); + return array[idx] === item ? idx : -1; + } + if (item !== item) { + idx = predicateFind(slice.call(array, i, length), _.isNaN); + return idx >= 0 ? idx + i : -1; + } + for (idx = dir > 0 ? i : length - 1; idx >= 0 && idx < length; idx += dir) { + if (array[idx] === item) return idx; + } + return -1; + }; + } + + // Return the position of the first occurrence of an item in an array, + // or -1 if the item is not included in the array. + // If the array is large and already in sort order, pass `true` + // for **isSorted** to use binary search. + _.indexOf = createIndexFinder(1, _.findIndex, _.sortedIndex); + _.lastIndexOf = createIndexFinder(-1, _.findLastIndex); + + // Generate an integer Array containing an arithmetic progression. A port of + // the native Python `range()` function. See + // [the Python documentation](http://docs.python.org/library/functions.html#range). + _.range = function(start, stop, step) { + if (stop == null) { + stop = start || 0; + start = 0; + } + step = step || 1; + + var length = Math.max(Math.ceil((stop - start) / step), 0); + var range = Array(length); + + for (var idx = 0; idx < length; idx++, start += step) { + range[idx] = start; + } + + return range; + }; + + // Function (ahem) Functions + // ------------------ + + // Determines whether to execute a function as a constructor + // or a normal function with the provided arguments + var executeBound = function(sourceFunc, boundFunc, context, callingContext, args) { + if (!(callingContext instanceof boundFunc)) return sourceFunc.apply(context, args); + var self = baseCreate(sourceFunc.prototype); + var result = sourceFunc.apply(self, args); + if (_.isObject(result)) return result; + return self; + }; + + // Create a function bound to a given object (assigning `this`, and arguments, + // optionally). Delegates to **ECMAScript 5**'s native `Function.bind` if + // available. + _.bind = function(func, context) { + if (nativeBind && func.bind === nativeBind) return nativeBind.apply(func, slice.call(arguments, 1)); + if (!_.isFunction(func)) throw new TypeError('Bind must be called on a function'); + var args = slice.call(arguments, 2); + var bound = function() { + return executeBound(func, bound, context, this, args.concat(slice.call(arguments))); + }; + return bound; + }; + + // Partially apply a function by creating a version that has had some of its + // arguments pre-filled, without changing its dynamic `this` context. _ acts + // as a placeholder, allowing any combination of arguments to be pre-filled. + _.partial = function(func) { + var boundArgs = slice.call(arguments, 1); + var bound = function() { + var position = 0, length = boundArgs.length; + var args = Array(length); + for (var i = 0; i < length; i++) { + args[i] = boundArgs[i] === _ ? arguments[position++] : boundArgs[i]; + } + while (position < arguments.length) args.push(arguments[position++]); + return executeBound(func, bound, this, this, args); + }; + return bound; + }; + + // Bind a number of an object's methods to that object. Remaining arguments + // are the method names to be bound. Useful for ensuring that all callbacks + // defined on an object belong to it. + _.bindAll = function(obj) { + var i, length = arguments.length, key; + if (length <= 1) throw new Error('bindAll must be passed function names'); + for (i = 1; i < length; i++) { + key = arguments[i]; + obj[key] = _.bind(obj[key], obj); + } + return obj; + }; + + // Memoize an expensive function by storing its results. + _.memoize = function(func, hasher) { + var memoize = function(key) { + var cache = memoize.cache; + var address = '' + (hasher ? hasher.apply(this, arguments) : key); + if (!_.has(cache, address)) cache[address] = func.apply(this, arguments); + return cache[address]; + }; + memoize.cache = {}; + return memoize; + }; + + // Delays a function for the given number of milliseconds, and then calls + // it with the arguments supplied. + _.delay = function(func, wait) { + var args = slice.call(arguments, 2); + return setTimeout(function(){ + return func.apply(null, args); + }, wait); + }; + + // Defers a function, scheduling it to run after the current call stack has + // cleared. + _.defer = _.partial(_.delay, _, 1); + + // Returns a function, that, when invoked, will only be triggered at most once + // during a given window of time. Normally, the throttled function will run + // as much as it can, without ever going more than once per `wait` duration; + // but if you'd like to disable the execution on the leading edge, pass + // `{leading: false}`. To disable execution on the trailing edge, ditto. + _.throttle = function(func, wait, options) { + var context, args, result; + var timeout = null; + var previous = 0; + if (!options) options = {}; + var later = function() { + previous = options.leading === false ? 0 : _.now(); + timeout = null; + result = func.apply(context, args); + if (!timeout) context = args = null; + }; + return function() { + var now = _.now(); + if (!previous && options.leading === false) previous = now; + var remaining = wait - (now - previous); + context = this; + args = arguments; + if (remaining <= 0 || remaining > wait) { + if (timeout) { + clearTimeout(timeout); + timeout = null; + } + previous = now; + result = func.apply(context, args); + if (!timeout) context = args = null; + } else if (!timeout && options.trailing !== false) { + timeout = setTimeout(later, remaining); + } + return result; + }; + }; + + // Returns a function, that, as long as it continues to be invoked, will not + // be triggered. The function will be called after it stops being called for + // N milliseconds. If `immediate` is passed, trigger the function on the + // leading edge, instead of the trailing. + _.debounce = function(func, wait, immediate) { + var timeout, args, context, timestamp, result; + + var later = function() { + var last = _.now() - timestamp; + + if (last < wait && last >= 0) { + timeout = setTimeout(later, wait - last); + } else { + timeout = null; + if (!immediate) { + result = func.apply(context, args); + if (!timeout) context = args = null; + } + } + }; + + return function() { + context = this; + args = arguments; + timestamp = _.now(); + var callNow = immediate && !timeout; + if (!timeout) timeout = setTimeout(later, wait); + if (callNow) { + result = func.apply(context, args); + context = args = null; + } + + return result; + }; + }; + + // Returns the first function passed as an argument to the second, + // allowing you to adjust arguments, run code before and after, and + // conditionally execute the original function. + _.wrap = function(func, wrapper) { + return _.partial(wrapper, func); + }; + + // Returns a negated version of the passed-in predicate. + _.negate = function(predicate) { + return function() { + return !predicate.apply(this, arguments); + }; + }; + + // Returns a function that is the composition of a list of functions, each + // consuming the return value of the function that follows. + _.compose = function() { + var args = arguments; + var start = args.length - 1; + return function() { + var i = start; + var result = args[start].apply(this, arguments); + while (i--) result = args[i].call(this, result); + return result; + }; + }; + + // Returns a function that will only be executed on and after the Nth call. + _.after = function(times, func) { + return function() { + if (--times < 1) { + return func.apply(this, arguments); + } + }; + }; + + // Returns a function that will only be executed up to (but not including) the Nth call. + _.before = function(times, func) { + var memo; + return function() { + if (--times > 0) { + memo = func.apply(this, arguments); + } + if (times <= 1) func = null; + return memo; + }; + }; + + // Returns a function that will be executed at most one time, no matter how + // often you call it. Useful for lazy initialization. + _.once = _.partial(_.before, 2); + + // Object Functions + // ---------------- + + // Keys in IE < 9 that won't be iterated by `for key in ...` and thus missed. + var hasEnumBug = !{toString: null}.propertyIsEnumerable('toString'); + var nonEnumerableProps = ['valueOf', 'isPrototypeOf', 'toString', + 'propertyIsEnumerable', 'hasOwnProperty', 'toLocaleString']; + + function collectNonEnumProps(obj, keys) { + var nonEnumIdx = nonEnumerableProps.length; + var constructor = obj.constructor; + var proto = (_.isFunction(constructor) && constructor.prototype) || ObjProto; + + // Constructor is a special case. + var prop = 'constructor'; + if (_.has(obj, prop) && !_.contains(keys, prop)) keys.push(prop); + + while (nonEnumIdx--) { + prop = nonEnumerableProps[nonEnumIdx]; + if (prop in obj && obj[prop] !== proto[prop] && !_.contains(keys, prop)) { + keys.push(prop); + } + } + } + + // Retrieve the names of an object's own properties. + // Delegates to **ECMAScript 5**'s native `Object.keys` + _.keys = function(obj) { + if (!_.isObject(obj)) return []; + if (nativeKeys) return nativeKeys(obj); + var keys = []; + for (var key in obj) if (_.has(obj, key)) keys.push(key); + // Ahem, IE < 9. + if (hasEnumBug) collectNonEnumProps(obj, keys); + return keys; + }; + + // Retrieve all the property names of an object. + _.allKeys = function(obj) { + if (!_.isObject(obj)) return []; + var keys = []; + for (var key in obj) keys.push(key); + // Ahem, IE < 9. + if (hasEnumBug) collectNonEnumProps(obj, keys); + return keys; + }; + + // Retrieve the values of an object's properties. + _.values = function(obj) { + var keys = _.keys(obj); + var length = keys.length; + var values = Array(length); + for (var i = 0; i < length; i++) { + values[i] = obj[keys[i]]; + } + return values; + }; + + // Returns the results of applying the iteratee to each element of the object + // In contrast to _.map it returns an object + _.mapObject = function(obj, iteratee, context) { + iteratee = cb(iteratee, context); + var keys = _.keys(obj), + length = keys.length, + results = {}, + currentKey; + for (var index = 0; index < length; index++) { + currentKey = keys[index]; + results[currentKey] = iteratee(obj[currentKey], currentKey, obj); + } + return results; + }; + + // Convert an object into a list of `[key, value]` pairs. + _.pairs = function(obj) { + var keys = _.keys(obj); + var length = keys.length; + var pairs = Array(length); + for (var i = 0; i < length; i++) { + pairs[i] = [keys[i], obj[keys[i]]]; + } + return pairs; + }; + + // Invert the keys and values of an object. The values must be serializable. + _.invert = function(obj) { + var result = {}; + var keys = _.keys(obj); + for (var i = 0, length = keys.length; i < length; i++) { + result[obj[keys[i]]] = keys[i]; + } + return result; + }; + + // Return a sorted list of the function names available on the object. + // Aliased as `methods` + _.functions = _.methods = function(obj) { + var names = []; + for (var key in obj) { + if (_.isFunction(obj[key])) names.push(key); + } + return names.sort(); + }; + + // Extend a given object with all the properties in passed-in object(s). + _.extend = createAssigner(_.allKeys); + + // Assigns a given object with all the own properties in the passed-in object(s) + // (https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Object/assign) + _.extendOwn = _.assign = createAssigner(_.keys); + + // Returns the first key on an object that passes a predicate test + _.findKey = function(obj, predicate, context) { + predicate = cb(predicate, context); + var keys = _.keys(obj), key; + for (var i = 0, length = keys.length; i < length; i++) { + key = keys[i]; + if (predicate(obj[key], key, obj)) return key; + } + }; + + // Return a copy of the object only containing the whitelisted properties. + _.pick = function(object, oiteratee, context) { + var result = {}, obj = object, iteratee, keys; + if (obj == null) return result; + if (_.isFunction(oiteratee)) { + keys = _.allKeys(obj); + iteratee = optimizeCb(oiteratee, context); + } else { + keys = flatten(arguments, false, false, 1); + iteratee = function(value, key, obj) { return key in obj; }; + obj = Object(obj); + } + for (var i = 0, length = keys.length; i < length; i++) { + var key = keys[i]; + var value = obj[key]; + if (iteratee(value, key, obj)) result[key] = value; + } + return result; + }; + + // Return a copy of the object without the blacklisted properties. + _.omit = function(obj, iteratee, context) { + if (_.isFunction(iteratee)) { + iteratee = _.negate(iteratee); + } else { + var keys = _.map(flatten(arguments, false, false, 1), String); + iteratee = function(value, key) { + return !_.contains(keys, key); + }; + } + return _.pick(obj, iteratee, context); + }; + + // Fill in a given object with default properties. + _.defaults = createAssigner(_.allKeys, true); + + // Creates an object that inherits from the given prototype object. + // If additional properties are provided then they will be added to the + // created object. + _.create = function(prototype, props) { + var result = baseCreate(prototype); + if (props) _.extendOwn(result, props); + return result; + }; + + // Create a (shallow-cloned) duplicate of an object. + _.clone = function(obj) { + if (!_.isObject(obj)) return obj; + return _.isArray(obj) ? obj.slice() : _.extend({}, obj); + }; + + // Invokes interceptor with the obj, and then returns obj. + // The primary purpose of this method is to "tap into" a method chain, in + // order to perform operations on intermediate results within the chain. + _.tap = function(obj, interceptor) { + interceptor(obj); + return obj; + }; + + // Returns whether an object has a given set of `key:value` pairs. + _.isMatch = function(object, attrs) { + var keys = _.keys(attrs), length = keys.length; + if (object == null) return !length; + var obj = Object(object); + for (var i = 0; i < length; i++) { + var key = keys[i]; + if (attrs[key] !== obj[key] || !(key in obj)) return false; + } + return true; + }; + + + // Internal recursive comparison function for `isEqual`. + var eq = function(a, b, aStack, bStack) { + // Identical objects are equal. `0 === -0`, but they aren't identical. + // See the [Harmony `egal` proposal](http://wiki.ecmascript.org/doku.php?id=harmony:egal). + if (a === b) return a !== 0 || 1 / a === 1 / b; + // A strict comparison is necessary because `null == undefined`. + if (a == null || b == null) return a === b; + // Unwrap any wrapped objects. + if (a instanceof _) a = a._wrapped; + if (b instanceof _) b = b._wrapped; + // Compare `[[Class]]` names. + var className = toString.call(a); + if (className !== toString.call(b)) return false; + switch (className) { + // Strings, numbers, regular expressions, dates, and booleans are compared by value. + case '[object RegExp]': + // RegExps are coerced to strings for comparison (Note: '' + /a/i === '/a/i') + case '[object String]': + // Primitives and their corresponding object wrappers are equivalent; thus, `"5"` is + // equivalent to `new String("5")`. + return '' + a === '' + b; + case '[object Number]': + // `NaN`s are equivalent, but non-reflexive. + // Object(NaN) is equivalent to NaN + if (+a !== +a) return +b !== +b; + // An `egal` comparison is performed for other numeric values. + return +a === 0 ? 1 / +a === 1 / b : +a === +b; + case '[object Date]': + case '[object Boolean]': + // Coerce dates and booleans to numeric primitive values. Dates are compared by their + // millisecond representations. Note that invalid dates with millisecond representations + // of `NaN` are not equivalent. + return +a === +b; + } + + var areArrays = className === '[object Array]'; + if (!areArrays) { + if (typeof a != 'object' || typeof b != 'object') return false; + + // Objects with different constructors are not equivalent, but `Object`s or `Array`s + // from different frames are. + var aCtor = a.constructor, bCtor = b.constructor; + if (aCtor !== bCtor && !(_.isFunction(aCtor) && aCtor instanceof aCtor && + _.isFunction(bCtor) && bCtor instanceof bCtor) + && ('constructor' in a && 'constructor' in b)) { + return false; + } + } + // Assume equality for cyclic structures. The algorithm for detecting cyclic + // structures is adapted from ES 5.1 section 15.12.3, abstract operation `JO`. + + // Initializing stack of traversed objects. + // It's done here since we only need them for objects and arrays comparison. + aStack = aStack || []; + bStack = bStack || []; + var length = aStack.length; + while (length--) { + // Linear search. Performance is inversely proportional to the number of + // unique nested structures. + if (aStack[length] === a) return bStack[length] === b; + } + + // Add the first object to the stack of traversed objects. + aStack.push(a); + bStack.push(b); + + // Recursively compare objects and arrays. + if (areArrays) { + // Compare array lengths to determine if a deep comparison is necessary. + length = a.length; + if (length !== b.length) return false; + // Deep compare the contents, ignoring non-numeric properties. + while (length--) { + if (!eq(a[length], b[length], aStack, bStack)) return false; + } + } else { + // Deep compare objects. + var keys = _.keys(a), key; + length = keys.length; + // Ensure that both objects contain the same number of properties before comparing deep equality. + if (_.keys(b).length !== length) return false; + while (length--) { + // Deep compare each member + key = keys[length]; + if (!(_.has(b, key) && eq(a[key], b[key], aStack, bStack))) return false; + } + } + // Remove the first object from the stack of traversed objects. + aStack.pop(); + bStack.pop(); + return true; + }; + + // Perform a deep comparison to check if two objects are equal. + _.isEqual = function(a, b) { + return eq(a, b); + }; + + // Is a given array, string, or object empty? + // An "empty" object has no enumerable own-properties. + _.isEmpty = function(obj) { + if (obj == null) return true; + if (isArrayLike(obj) && (_.isArray(obj) || _.isString(obj) || _.isArguments(obj))) return obj.length === 0; + return _.keys(obj).length === 0; + }; + + // Is a given value a DOM element? + _.isElement = function(obj) { + return !!(obj && obj.nodeType === 1); + }; + + // Is a given value an array? + // Delegates to ECMA5's native Array.isArray + _.isArray = nativeIsArray || function(obj) { + return toString.call(obj) === '[object Array]'; + }; + + // Is a given variable an object? + _.isObject = function(obj) { + var type = typeof obj; + return type === 'function' || type === 'object' && !!obj; + }; + + // Add some isType methods: isArguments, isFunction, isString, isNumber, isDate, isRegExp, isError. + _.each(['Arguments', 'Function', 'String', 'Number', 'Date', 'RegExp', 'Error'], function(name) { + _['is' + name] = function(obj) { + return toString.call(obj) === '[object ' + name + ']'; + }; + }); + + // Define a fallback version of the method in browsers (ahem, IE < 9), where + // there isn't any inspectable "Arguments" type. + if (!_.isArguments(arguments)) { + _.isArguments = function(obj) { + return _.has(obj, 'callee'); + }; + } + + // Optimize `isFunction` if appropriate. Work around some typeof bugs in old v8, + // IE 11 (#1621), and in Safari 8 (#1929). + if (typeof /./ != 'function' && typeof Int8Array != 'object') { + _.isFunction = function(obj) { + return typeof obj == 'function' || false; + }; + } + + // Is a given object a finite number? + _.isFinite = function(obj) { + return isFinite(obj) && !isNaN(parseFloat(obj)); + }; + + // Is the given value `NaN`? (NaN is the only number which does not equal itself). + _.isNaN = function(obj) { + return _.isNumber(obj) && obj !== +obj; + }; + + // Is a given value a boolean? + _.isBoolean = function(obj) { + return obj === true || obj === false || toString.call(obj) === '[object Boolean]'; + }; + + // Is a given value equal to null? + _.isNull = function(obj) { + return obj === null; + }; + + // Is a given variable undefined? + _.isUndefined = function(obj) { + return obj === void 0; + }; + + // Shortcut function for checking if an object has a given property directly + // on itself (in other words, not on a prototype). + _.has = function(obj, key) { + return obj != null && hasOwnProperty.call(obj, key); + }; + + // Utility Functions + // ----------------- + + // Run Underscore.js in *noConflict* mode, returning the `_` variable to its + // previous owner. Returns a reference to the Underscore object. + _.noConflict = function() { + root._ = previousUnderscore; + return this; + }; + + // Keep the identity function around for default iteratees. + _.identity = function(value) { + return value; + }; + + // Predicate-generating functions. Often useful outside of Underscore. + _.constant = function(value) { + return function() { + return value; + }; + }; + + _.noop = function(){}; + + _.property = property; + + // Generates a function for a given object that returns a given property. + _.propertyOf = function(obj) { + return obj == null ? function(){} : function(key) { + return obj[key]; + }; + }; + + // Returns a predicate for checking whether an object has a given set of + // `key:value` pairs. + _.matcher = _.matches = function(attrs) { + attrs = _.extendOwn({}, attrs); + return function(obj) { + return _.isMatch(obj, attrs); + }; + }; + + // Run a function **n** times. + _.times = function(n, iteratee, context) { + var accum = Array(Math.max(0, n)); + iteratee = optimizeCb(iteratee, context, 1); + for (var i = 0; i < n; i++) accum[i] = iteratee(i); + return accum; + }; + + // Return a random integer between min and max (inclusive). + _.random = function(min, max) { + if (max == null) { + max = min; + min = 0; + } + return min + Math.floor(Math.random() * (max - min + 1)); + }; + + // A (possibly faster) way to get the current timestamp as an integer. + _.now = Date.now || function() { + return new Date().getTime(); + }; + + // List of HTML entities for escaping. + var escapeMap = { + '&': '&', + '<': '<', + '>': '>', + '"': '"', + "'": ''', + '`': '`' + }; + var unescapeMap = _.invert(escapeMap); + + // Functions for escaping and unescaping strings to/from HTML interpolation. + var createEscaper = function(map) { + var escaper = function(match) { + return map[match]; + }; + // Regexes for identifying a key that needs to be escaped + var source = '(?:' + _.keys(map).join('|') + ')'; + var testRegexp = RegExp(source); + var replaceRegexp = RegExp(source, 'g'); + return function(string) { + string = string == null ? '' : '' + string; + return testRegexp.test(string) ? string.replace(replaceRegexp, escaper) : string; + }; + }; + _.escape = createEscaper(escapeMap); + _.unescape = createEscaper(unescapeMap); + + // If the value of the named `property` is a function then invoke it with the + // `object` as context; otherwise, return it. + _.result = function(object, property, fallback) { + var value = object == null ? void 0 : object[property]; + if (value === void 0) { + value = fallback; + } + return _.isFunction(value) ? value.call(object) : value; + }; + + // Generate a unique integer id (unique within the entire client session). + // Useful for temporary DOM ids. + var idCounter = 0; + _.uniqueId = function(prefix) { + var id = ++idCounter + ''; + return prefix ? prefix + id : id; + }; + + // By default, Underscore uses ERB-style template delimiters, change the + // following template settings to use alternative delimiters. + _.templateSettings = { + evaluate : /<%([\s\S]+?)%>/g, + interpolate : /<%=([\s\S]+?)%>/g, + escape : /<%-([\s\S]+?)%>/g + }; + + // When customizing `templateSettings`, if you don't want to define an + // interpolation, evaluation or escaping regex, we need one that is + // guaranteed not to match. + var noMatch = /(.)^/; + + // Certain characters need to be escaped so that they can be put into a + // string literal. + var escapes = { + "'": "'", + '\\': '\\', + '\r': 'r', + '\n': 'n', + '\u2028': 'u2028', + '\u2029': 'u2029' + }; + + var escaper = /\\|'|\r|\n|\u2028|\u2029/g; + + var escapeChar = function(match) { + return '\\' + escapes[match]; + }; + + // JavaScript micro-templating, similar to John Resig's implementation. + // Underscore templating handles arbitrary delimiters, preserves whitespace, + // and correctly escapes quotes within interpolated code. + // NB: `oldSettings` only exists for backwards compatibility. + _.template = function(text, settings, oldSettings) { + if (!settings && oldSettings) settings = oldSettings; + settings = _.defaults({}, settings, _.templateSettings); + + // Combine delimiters into one regular expression via alternation. + var matcher = RegExp([ + (settings.escape || noMatch).source, + (settings.interpolate || noMatch).source, + (settings.evaluate || noMatch).source + ].join('|') + '|$', 'g'); + + // Compile the template source, escaping string literals appropriately. + var index = 0; + var source = "__p+='"; + text.replace(matcher, function(match, escape, interpolate, evaluate, offset) { + source += text.slice(index, offset).replace(escaper, escapeChar); + index = offset + match.length; + + if (escape) { + source += "'+\n((__t=(" + escape + "))==null?'':_.escape(__t))+\n'"; + } else if (interpolate) { + source += "'+\n((__t=(" + interpolate + "))==null?'':__t)+\n'"; + } else if (evaluate) { + source += "';\n" + evaluate + "\n__p+='"; + } + + // Adobe VMs need the match returned to produce the correct offest. + return match; + }); + source += "';\n"; + + // If a variable is not specified, place data values in local scope. + if (!settings.variable) source = 'with(obj||{}){\n' + source + '}\n'; + + source = "var __t,__p='',__j=Array.prototype.join," + + "print=function(){__p+=__j.call(arguments,'');};\n" + + source + 'return __p;\n'; + + try { + var render = new Function(settings.variable || 'obj', '_', source); + } catch (e) { + e.source = source; + throw e; + } + + var template = function(data) { + return render.call(this, data, _); + }; + + // Provide the compiled source as a convenience for precompilation. + var argument = settings.variable || 'obj'; + template.source = 'function(' + argument + '){\n' + source + '}'; + + return template; + }; + + // Add a "chain" function. Start chaining a wrapped Underscore object. + _.chain = function(obj) { + var instance = _(obj); + instance._chain = true; + return instance; + }; + + // OOP + // --------------- + // If Underscore is called as a function, it returns a wrapped object that + // can be used OO-style. This wrapper holds altered versions of all the + // underscore functions. Wrapped objects may be chained. + + // Helper function to continue chaining intermediate results. + var result = function(instance, obj) { + return instance._chain ? _(obj).chain() : obj; + }; + + // Add your own custom functions to the Underscore object. + _.mixin = function(obj) { + _.each(_.functions(obj), function(name) { + var func = _[name] = obj[name]; + _.prototype[name] = function() { + var args = [this._wrapped]; + push.apply(args, arguments); + return result(this, func.apply(_, args)); + }; + }); + }; + + // Add all of the Underscore functions to the wrapper object. + _.mixin(_); + + // Add all mutator Array functions to the wrapper. + _.each(['pop', 'push', 'reverse', 'shift', 'sort', 'splice', 'unshift'], function(name) { + var method = ArrayProto[name]; + _.prototype[name] = function() { + var obj = this._wrapped; + method.apply(obj, arguments); + if ((name === 'shift' || name === 'splice') && obj.length === 0) delete obj[0]; + return result(this, obj); + }; + }); + + // Add all accessor Array functions to the wrapper. + _.each(['concat', 'join', 'slice'], function(name) { + var method = ArrayProto[name]; + _.prototype[name] = function() { + return result(this, method.apply(this._wrapped, arguments)); + }; + }); + + // Extracts the result from a wrapped and chained object. + _.prototype.value = function() { + return this._wrapped; + }; + + // Provide unwrapping proxy for some methods used in engine operations + // such as arithmetic and JSON stringification. + _.prototype.valueOf = _.prototype.toJSON = _.prototype.value; + + _.prototype.toString = function() { + return '' + this._wrapped; + }; + + // AMD registration happens at the end for compatibility with AMD loaders + // that may not enforce next-turn semantics on modules. Even though general + // practice for AMD registration is to be anonymous, underscore registers + // as a named module because, like jQuery, it is a base library that is + // popular enough to be bundled in a third party lib, but not be part of + // an AMD load request. Those cases could generate an error when an + // anonymous define() is called outside of a loader request. + if (typeof define === 'function' && define.amd) { + define('underscore', [], function() { + return _; + }); + } +}.call(this)); + +},{}],26:[function(require,module,exports){ +arguments[4][19][0].apply(exports,arguments) +},{"dup":19}],27:[function(require,module,exports){ +module.exports = function isBuffer(arg) { + return arg && typeof arg === 'object' + && typeof arg.copy === 'function' + && typeof arg.fill === 'function' + && typeof arg.readUInt8 === 'function'; +} +},{}],28:[function(require,module,exports){ +(function (process,global){ +// Copyright Joyent, Inc. and other Node contributors. +// +// Permission is hereby granted, free of charge, to any person obtaining a +// copy of this software and associated documentation files (the +// "Software"), to deal in the Software without restriction, including +// without limitation the rights to use, copy, modify, merge, publish, +// distribute, sublicense, and/or sell copies of the Software, and to permit +// persons to whom the Software is furnished to do so, subject to the +// following conditions: +// +// The above copyright notice and this permission notice shall be included +// in all copies or substantial portions of the Software. +// +// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS +// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN +// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, +// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR +// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE +// USE OR OTHER DEALINGS IN THE SOFTWARE. + +var formatRegExp = /%[sdj%]/g; +exports.format = function(f) { + if (!isString(f)) { + var objects = []; + for (var i = 0; i < arguments.length; i++) { + objects.push(inspect(arguments[i])); + } + return objects.join(' '); + } + + var i = 1; + var args = arguments; + var len = args.length; + var str = String(f).replace(formatRegExp, function(x) { + if (x === '%%') return '%'; + if (i >= len) return x; + switch (x) { + case '%s': return String(args[i++]); + case '%d': return Number(args[i++]); + case '%j': + try { + return JSON.stringify(args[i++]); + } catch (_) { + return '[Circular]'; + } + default: + return x; + } + }); + for (var x = args[i]; i < len; x = args[++i]) { + if (isNull(x) || !isObject(x)) { + str += ' ' + x; + } else { + str += ' ' + inspect(x); + } + } + return str; +}; + + +// Mark that a method should not be used. +// Returns a modified function which warns once by default. +// If --no-deprecation is set, then it is a no-op. +exports.deprecate = function(fn, msg) { + // Allow for deprecating things in the process of starting up. + if (isUndefined(global.process)) { + return function() { + return exports.deprecate(fn, msg).apply(this, arguments); + }; + } + + if (process.noDeprecation === true) { + return fn; + } + + var warned = false; + function deprecated() { + if (!warned) { + if (process.throwDeprecation) { + throw new Error(msg); + } else if (process.traceDeprecation) { + console.trace(msg); + } else { + console.error(msg); + } + warned = true; + } + return fn.apply(this, arguments); + } + + return deprecated; +}; + + +var debugs = {}; +var debugEnviron; +exports.debuglog = function(set) { + if (isUndefined(debugEnviron)) + debugEnviron = process.env.NODE_DEBUG || ''; + set = set.toUpperCase(); + if (!debugs[set]) { + if (new RegExp('\\b' + set + '\\b', 'i').test(debugEnviron)) { + var pid = process.pid; + debugs[set] = function() { + var msg = exports.format.apply(exports, arguments); + console.error('%s %d: %s', set, pid, msg); + }; + } else { + debugs[set] = function() {}; + } + } + return debugs[set]; +}; + + +/** + * Echos the value of a value. Trys to print the value out + * in the best way possible given the different types. + * + * @param {Object} obj The object to print out. + * @param {Object} opts Optional options object that alters the output. + */ +/* legacy: obj, showHidden, depth, colors*/ +function inspect(obj, opts) { + // default options + var ctx = { + seen: [], + stylize: stylizeNoColor + }; + // legacy... + if (arguments.length >= 3) ctx.depth = arguments[2]; + if (arguments.length >= 4) ctx.colors = arguments[3]; + if (isBoolean(opts)) { + // legacy... + ctx.showHidden = opts; + } else if (opts) { + // got an "options" object + exports._extend(ctx, opts); + } + // set default options + if (isUndefined(ctx.showHidden)) ctx.showHidden = false; + if (isUndefined(ctx.depth)) ctx.depth = 2; + if (isUndefined(ctx.colors)) ctx.colors = false; + if (isUndefined(ctx.customInspect)) ctx.customInspect = true; + if (ctx.colors) ctx.stylize = stylizeWithColor; + return formatValue(ctx, obj, ctx.depth); +} +exports.inspect = inspect; + + +// http://en.wikipedia.org/wiki/ANSI_escape_code#graphics +inspect.colors = { + 'bold' : [1, 22], + 'italic' : [3, 23], + 'underline' : [4, 24], + 'inverse' : [7, 27], + 'white' : [37, 39], + 'grey' : [90, 39], + 'black' : [30, 39], + 'blue' : [34, 39], + 'cyan' : [36, 39], + 'green' : [32, 39], + 'magenta' : [35, 39], + 'red' : [31, 39], + 'yellow' : [33, 39] +}; + +// Don't use 'blue' not visible on cmd.exe +inspect.styles = { + 'special': 'cyan', + 'number': 'yellow', + 'boolean': 'yellow', + 'undefined': 'grey', + 'null': 'bold', + 'string': 'green', + 'date': 'magenta', + // "name": intentionally not styling + 'regexp': 'red' +}; + + +function stylizeWithColor(str, styleType) { + var style = inspect.styles[styleType]; + + if (style) { + return '\u001b[' + inspect.colors[style][0] + 'm' + str + + '\u001b[' + inspect.colors[style][1] + 'm'; + } else { + return str; + } +} + + +function stylizeNoColor(str, styleType) { + return str; +} + + +function arrayToHash(array) { + var hash = {}; + + array.forEach(function(val, idx) { + hash[val] = true; + }); + + return hash; +} + + +function formatValue(ctx, value, recurseTimes) { + // Provide a hook for user-specified inspect functions. + // Check that value is an object with an inspect function on it + if (ctx.customInspect && + value && + isFunction(value.inspect) && + // Filter out the util module, it's inspect function is special + value.inspect !== exports.inspect && + // Also filter out any prototype objects using the circular check. + !(value.constructor && value.constructor.prototype === value)) { + var ret = value.inspect(recurseTimes, ctx); + if (!isString(ret)) { + ret = formatValue(ctx, ret, recurseTimes); + } + return ret; + } + + // Primitive types cannot have properties + var primitive = formatPrimitive(ctx, value); + if (primitive) { + return primitive; + } + + // Look up the keys of the object. + var keys = Object.keys(value); + var visibleKeys = arrayToHash(keys); + + if (ctx.showHidden) { + keys = Object.getOwnPropertyNames(value); + } + + // IE doesn't make error fields non-enumerable + // http://msdn.microsoft.com/en-us/library/ie/dww52sbt(v=vs.94).aspx + if (isError(value) + && (keys.indexOf('message') >= 0 || keys.indexOf('description') >= 0)) { + return formatError(value); + } + + // Some type of object without properties can be shortcutted. + if (keys.length === 0) { + if (isFunction(value)) { + var name = value.name ? ': ' + value.name : ''; + return ctx.stylize('[Function' + name + ']', 'special'); + } + if (isRegExp(value)) { + return ctx.stylize(RegExp.prototype.toString.call(value), 'regexp'); + } + if (isDate(value)) { + return ctx.stylize(Date.prototype.toString.call(value), 'date'); + } + if (isError(value)) { + return formatError(value); + } + } + + var base = '', array = false, braces = ['{', '}']; + + // Make Array say that they are Array + if (isArray(value)) { + array = true; + braces = ['[', ']']; + } + + // Make functions say that they are functions + if (isFunction(value)) { + var n = value.name ? ': ' + value.name : ''; + base = ' [Function' + n + ']'; + } + + // Make RegExps say that they are RegExps + if (isRegExp(value)) { + base = ' ' + RegExp.prototype.toString.call(value); + } + + // Make dates with properties first say the date + if (isDate(value)) { + base = ' ' + Date.prototype.toUTCString.call(value); + } + + // Make error with message first say the error + if (isError(value)) { + base = ' ' + formatError(value); + } + + if (keys.length === 0 && (!array || value.length == 0)) { + return braces[0] + base + braces[1]; + } + + if (recurseTimes < 0) { + if (isRegExp(value)) { + return ctx.stylize(RegExp.prototype.toString.call(value), 'regexp'); + } else { + return ctx.stylize('[Object]', 'special'); + } + } + + ctx.seen.push(value); + + var output; + if (array) { + output = formatArray(ctx, value, recurseTimes, visibleKeys, keys); + } else { + output = keys.map(function(key) { + return formatProperty(ctx, value, recurseTimes, visibleKeys, key, array); + }); + } + + ctx.seen.pop(); + + return reduceToSingleString(output, base, braces); +} + + +function formatPrimitive(ctx, value) { + if (isUndefined(value)) + return ctx.stylize('undefined', 'undefined'); + if (isString(value)) { + var simple = '\'' + JSON.stringify(value).replace(/^"|"$/g, '') + .replace(/'/g, "\\'") + .replace(/\\"/g, '"') + '\''; + return ctx.stylize(simple, 'string'); + } + if (isNumber(value)) + return ctx.stylize('' + value, 'number'); + if (isBoolean(value)) + return ctx.stylize('' + value, 'boolean'); + // For some reason typeof null is "object", so special case here. + if (isNull(value)) + return ctx.stylize('null', 'null'); +} + + +function formatError(value) { + return '[' + Error.prototype.toString.call(value) + ']'; +} + + +function formatArray(ctx, value, recurseTimes, visibleKeys, keys) { + var output = []; + for (var i = 0, l = value.length; i < l; ++i) { + if (hasOwnProperty(value, String(i))) { + output.push(formatProperty(ctx, value, recurseTimes, visibleKeys, + String(i), true)); + } else { + output.push(''); + } + } + keys.forEach(function(key) { + if (!key.match(/^\d+$/)) { + output.push(formatProperty(ctx, value, recurseTimes, visibleKeys, + key, true)); + } + }); + return output; +} + + +function formatProperty(ctx, value, recurseTimes, visibleKeys, key, array) { + var name, str, desc; + desc = Object.getOwnPropertyDescriptor(value, key) || { value: value[key] }; + if (desc.get) { + if (desc.set) { + str = ctx.stylize('[Getter/Setter]', 'special'); + } else { + str = ctx.stylize('[Getter]', 'special'); + } + } else { + if (desc.set) { + str = ctx.stylize('[Setter]', 'special'); + } + } + if (!hasOwnProperty(visibleKeys, key)) { + name = '[' + key + ']'; + } + if (!str) { + if (ctx.seen.indexOf(desc.value) < 0) { + if (isNull(recurseTimes)) { + str = formatValue(ctx, desc.value, null); + } else { + str = formatValue(ctx, desc.value, recurseTimes - 1); + } + if (str.indexOf('\n') > -1) { + if (array) { + str = str.split('\n').map(function(line) { + return ' ' + line; + }).join('\n').substr(2); + } else { + str = '\n' + str.split('\n').map(function(line) { + return ' ' + line; + }).join('\n'); + } + } + } else { + str = ctx.stylize('[Circular]', 'special'); + } + } + if (isUndefined(name)) { + if (array && key.match(/^\d+$/)) { + return str; + } + name = JSON.stringify('' + key); + if (name.match(/^"([a-zA-Z_][a-zA-Z_0-9]*)"$/)) { + name = name.substr(1, name.length - 2); + name = ctx.stylize(name, 'name'); + } else { + name = name.replace(/'/g, "\\'") + .replace(/\\"/g, '"') + .replace(/(^"|"$)/g, "'"); + name = ctx.stylize(name, 'string'); + } + } + + return name + ': ' + str; +} + + +function reduceToSingleString(output, base, braces) { + var numLinesEst = 0; + var length = output.reduce(function(prev, cur) { + numLinesEst++; + if (cur.indexOf('\n') >= 0) numLinesEst++; + return prev + cur.replace(/\u001b\[\d\d?m/g, '').length + 1; + }, 0); + + if (length > 60) { + return braces[0] + + (base === '' ? '' : base + '\n ') + + ' ' + + output.join(',\n ') + + ' ' + + braces[1]; + } + + return braces[0] + base + ' ' + output.join(', ') + ' ' + braces[1]; +} + + +// NOTE: These type checking functions intentionally don't use `instanceof` +// because it is fragile and can be easily faked with `Object.create()`. +function isArray(ar) { + return Array.isArray(ar); +} +exports.isArray = isArray; + +function isBoolean(arg) { + return typeof arg === 'boolean'; +} +exports.isBoolean = isBoolean; + +function isNull(arg) { + return arg === null; +} +exports.isNull = isNull; + +function isNullOrUndefined(arg) { + return arg == null; +} +exports.isNullOrUndefined = isNullOrUndefined; + +function isNumber(arg) { + return typeof arg === 'number'; +} +exports.isNumber = isNumber; + +function isString(arg) { + return typeof arg === 'string'; +} +exports.isString = isString; + +function isSymbol(arg) { + return typeof arg === 'symbol'; +} +exports.isSymbol = isSymbol; + +function isUndefined(arg) { + return arg === void 0; +} +exports.isUndefined = isUndefined; + +function isRegExp(re) { + return isObject(re) && objectToString(re) === '[object RegExp]'; +} +exports.isRegExp = isRegExp; + +function isObject(arg) { + return typeof arg === 'object' && arg !== null; +} +exports.isObject = isObject; + +function isDate(d) { + return isObject(d) && objectToString(d) === '[object Date]'; +} +exports.isDate = isDate; + +function isError(e) { + return isObject(e) && + (objectToString(e) === '[object Error]' || e instanceof Error); +} +exports.isError = isError; + +function isFunction(arg) { + return typeof arg === 'function'; +} +exports.isFunction = isFunction; + +function isPrimitive(arg) { + return arg === null || + typeof arg === 'boolean' || + typeof arg === 'number' || + typeof arg === 'string' || + typeof arg === 'symbol' || // ES6 symbol + typeof arg === 'undefined'; +} +exports.isPrimitive = isPrimitive; + +exports.isBuffer = require('./support/isBuffer'); + +function objectToString(o) { + return Object.prototype.toString.call(o); +} + + +function pad(n) { + return n < 10 ? '0' + n.toString(10) : n.toString(10); +} + + +var months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', + 'Oct', 'Nov', 'Dec']; + +// 26 Feb 16:19:34 +function timestamp() { + var d = new Date(); + var time = [pad(d.getHours()), + pad(d.getMinutes()), + pad(d.getSeconds())].join(':'); + return [d.getDate(), months[d.getMonth()], time].join(' '); +} + + +// log is just a thin wrapper to console.log that prepends a timestamp +exports.log = function() { + console.log('%s - %s', timestamp(), exports.format.apply(exports, arguments)); +}; + + +/** + * Inherit the prototype methods from one constructor into another. + * + * The Function.prototype.inherits from lang.js rewritten as a standalone + * function (not on Function.prototype). NOTE: If this file is to be loaded + * during bootstrapping this function needs to be rewritten using some native + * functions as prototype setup using normal JavaScript does not work as + * expected during bootstrapping (see mirror.js in r114903). + * + * @param {function} ctor Constructor function which needs to inherit the + * prototype. + * @param {function} superCtor Constructor function to inherit prototype from. + */ +exports.inherits = require('inherits'); + +exports._extend = function(origin, add) { + // Don't do anything if add isn't an object + if (!add || !isObject(add)) return origin; + + var keys = Object.keys(add); + var i = keys.length; + while (i--) { + origin[keys[i]] = add[keys[i]]; + } + return origin; +}; + +function hasOwnProperty(obj, prop) { + return Object.prototype.hasOwnProperty.call(obj, prop); +} + +}).call(this,require('_process'),typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {}) +},{"./support/isBuffer":27,"_process":24,"inherits":26}],29:[function(require,module,exports){ +// Returns a wrapper function that returns a wrapped callback +// The wrapper function should do some stuff, and return a +// presumably different callback function. +// This makes sure that own properties are retained, so that +// decorations and such are not lost along the way. +module.exports = wrappy +function wrappy (fn, cb) { + if (fn && cb) return wrappy(fn)(cb) + + if (typeof fn !== 'function') + throw new TypeError('need wrapper function') + + Object.keys(fn).forEach(function (k) { + wrapper[k] = fn[k] + }) + + return wrapper + + function wrapper() { + var args = new Array(arguments.length) + for (var i = 0; i < args.length; i++) { + args[i] = arguments[i] + } + var ret = fn.apply(this, args) + var cb = args[args.length-1] + if (typeof ret === 'function' && ret !== cb) { + Object.keys(cb).forEach(function (k) { + ret[k] = cb[k] + }) + } + return ret + } +} + +},{}]},{},[7])(7) +}); \ No newline at end of file diff --git a/assets/javascripts/workers/search.1e90e0fb.min.js b/assets/javascripts/workers/search.1e90e0fb.min.js new file mode 100644 index 00000000..ff43aedd --- /dev/null +++ b/assets/javascripts/workers/search.1e90e0fb.min.js @@ -0,0 +1,2 @@ +"use strict";(()=>{var xe=Object.create;var G=Object.defineProperty,ve=Object.defineProperties,Se=Object.getOwnPropertyDescriptor,Te=Object.getOwnPropertyDescriptors,Qe=Object.getOwnPropertyNames,Y=Object.getOwnPropertySymbols,Ee=Object.getPrototypeOf,X=Object.prototype.hasOwnProperty,be=Object.prototype.propertyIsEnumerable;var Z=Math.pow,J=(t,e,r)=>e in t?G(t,e,{enumerable:!0,configurable:!0,writable:!0,value:r}):t[e]=r,_=(t,e)=>{for(var r in e||(e={}))X.call(e,r)&&J(t,r,e[r]);if(Y)for(var r of Y(e))be.call(e,r)&&J(t,r,e[r]);return t},B=(t,e)=>ve(t,Te(e));var Le=(t,e)=>()=>(e||t((e={exports:{}}).exports,e),e.exports);var we=(t,e,r,n)=>{if(e&&typeof e=="object"||typeof e=="function")for(let i of Qe(e))!X.call(t,i)&&i!==r&&G(t,i,{get:()=>e[i],enumerable:!(n=Se(e,i))||n.enumerable});return t};var Pe=(t,e,r)=>(r=t!=null?xe(Ee(t)):{},we(e||!t||!t.__esModule?G(r,"default",{value:t,enumerable:!0}):r,t));var W=(t,e,r)=>new Promise((n,i)=>{var s=u=>{try{a(r.next(u))}catch(c){i(c)}},o=u=>{try{a(r.throw(u))}catch(c){i(c)}},a=u=>u.done?n(u.value):Promise.resolve(u.value).then(s,o);a((r=r.apply(t,e)).next())});var te=Le((K,ee)=>{(function(){var t=function(e){var r=new t.Builder;return r.pipeline.add(t.trimmer,t.stopWordFilter,t.stemmer),r.searchPipeline.add(t.stemmer),e.call(r,r),r.build()};t.version="2.3.9";t.utils={},t.utils.warn=function(e){return function(r){e.console&&console.warn&&console.warn(r)}}(this),t.utils.asString=function(e){return e==null?"":e.toString()},t.utils.clone=function(e){if(e==null)return e;for(var r=Object.create(null),n=Object.keys(e),i=0;i0){var f=t.utils.clone(r)||{};f.position=[a,c],f.index=s.length,s.push(new t.Token(n.slice(a,o),f))}a=o+1}}return s},t.tokenizer.separator=/[\s\-]+/;t.Pipeline=function(){this._stack=[]},t.Pipeline.registeredFunctions=Object.create(null),t.Pipeline.registerFunction=function(e,r){r in this.registeredFunctions&&t.utils.warn("Overwriting existing registered function: "+r),e.label=r,t.Pipeline.registeredFunctions[e.label]=e},t.Pipeline.warnIfFunctionNotRegistered=function(e){var r=e.label&&e.label in this.registeredFunctions;r||t.utils.warn(`Function is not registered with pipeline. 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#00000012}}[data-md-color-primary=black]{--md-primary-fg-color:hsla(var(--md-hue),15%,9%,1);--md-primary-fg-color--light:hsla(var(--md-hue),15%,9%,0.54);--md-primary-fg-color--dark:hsla(var(--md-hue),15%,9%,1);--md-primary-bg-color:hsla(var(--md-hue),15%,100%,1);--md-primary-bg-color--light:hsla(var(--md-hue),15%,100%,0.7);--md-typeset-a-color:#4051b5}[data-md-color-primary=black] .md-button{color:var(--md-typeset-a-color)}[data-md-color-primary=black] .md-button--primary{background-color:var(--md-typeset-a-color);border-color:var(--md-typeset-a-color);color:hsla(var(--md-hue),0%,100%,1)}[data-md-color-primary=black] .md-header{background-color:hsla(var(--md-hue),15%,9%,1)}@media screen and (max-width:59.984375em){[data-md-color-primary=black] .md-nav__source{background-color:hsla(var(--md-hue),15%,11%,.87)}}@media screen and (max-width:76.234375em){html [data-md-color-primary=black] .md-nav--primary .md-nav__title[for=__drawer]{background-color:hsla(var(--md-hue),15%,9%,1)}}@media screen and (min-width:76.25em){[data-md-color-primary=black] .md-tabs{background-color:hsla(var(--md-hue),15%,9%,1)}} \ No newline at end of file diff --git a/demo-index.js b/demo-index.js new file mode 100644 index 00000000..ebca9edf --- /dev/null +++ b/demo-index.js @@ -0,0 +1,285 @@ +/* +have a list of scenarios that users can view +data generation scenarios: +- financial accounts and transactions +- e-commerce site orders +- customer on-boarding (application, status) + +data validation scenarios: +- field validation +- relationship validation +- upstream validation + +data cleanup scenario: +- delete generated data +- delete downstream data + */ + +let rawTxnContainer = document.getElementById("raw-transaction-container"); +let allTransactionCardContainer = document.getElementById("transaction-card-container"); +let validationContainer = document.getElementById("validation-container"); + +let generateButton = document.getElementById("generate-button"); +let validateButton = document.getElementById("validate-button"); +let cleanupButton = document.getElementById("cleanup-button"); + +let isGenerateData = true; +let txnId = 1; + +async function createTransactionCards() { + let max = 20; + let startDate = new Date(2020, 1, 1).getTime(); + + while (rawTxnContainer.childElementCount <= max && isGenerateData) { + if (rawTxnContainer.childElementCount > 2) { + let randomWait = Math.floor(Math.random() * 1000 + 500); + await wait(randomWait); + } + let txnCard = document.createElement("div"); + txnCard.classList.add("card"); + txnCard.setAttribute("id", `txn${txnId}`); + let txnContainer = document.createElement("div"); + txnContainer.classList.add("card-container"); + let index = Math.floor(Math.random() * transactionTypes.length); + let currTxn = transactionTypes[index]; + + let fullCurrDate = addDays(startDate, Math.floor(Math.random() * 20)).toISOString(); + let currDate = fullCurrDate.split('T')[0]; + let currAmount = Math.round(Math.random() * 20000) / 100; + + let randDescVal = Math.random(); + let rawDescription = currTxn.description; + if (randDescVal < 0.3) { + rawDescription = `${currTxn.description} ${Math.floor(Math.random() * 90000) + 10000}`; + } else if (randDescVal < 0.5) { + rawDescription = `${(Math.random() + 1).toString(36).substring(6)} ${currTxn.description}`; + } + let rawTxnText = `{"date":"${fullCurrDate}","desc":"${rawDescription}","amount":"${String(currAmount)}"}\n`; + + let date = document.createElement("p"); + date.classList.add("date-text", "card-text"); + date.innerText = currDate; + let description = document.createElement("h4"); + description.classList.add("description-text", "card-text"); + description.innerText = Math.random() < 0.1 ? rawDescription : currTxn.description; + let category = document.createElement("p"); + category.classList.add("category-text", "card-text"); + category.innerText = Math.random() < 0.1 ? "" : currTxn.category; + let amount = document.createElement("p"); + amount.classList.add("amount-text", "card-text"); + amount.innerText = `$${String(currAmount)}`; + + let rawTxnEntry = document.createElement("code"); + rawTxnEntry.innerText = rawTxnText; + rawTxnContainer.append(rawTxnEntry); + rawTxnContainer.scrollTop = rawTxnContainer.scrollHeight; + + txnContainer.append(date, description, category, amount); + txnCard.append(txnContainer); + await wait(200); + allTransactionCardContainer.append(txnCard); + allTransactionCardContainer.scrollTop = allTransactionCardContainer.scrollHeight; + startDate = currDate; + txnId += 1; + } +} + +async function validateTransactions() { + // foreach record generated, go one by one through each and validate with transition + isGenerateData = false; + if (validationContainer.style.display === "none") { + validationContainer.style.display = "block"; + } + let currentValidations = Array.from(validationContainer.children); + let txnCards = Array.from(allTransactionCardContainer.children).reverse(); + for (const txnCard of txnCards) { + txnCard.style.backgroundColor = ""; + if (txnCard.childElementCount > 1) { + txnCard.removeChild(txnCard.lastChild); + } + } + await wait(2000); + txnCards = Array.from(allTransactionCardContainer.children).reverse(); + + for (const txnCard of txnCards) { + await wait(1000); + let txnDetails = txnCard.firstElementChild; + + let validationResult = true; + let failedSummary = document.createElement("ol"); + failedSummary.style.display = "none"; + let failedSummaryText = document.createElement("a"); + failedSummaryText.classList.add("fail-reason-button"); + failedSummaryText.innerText = "Reason >"; + failedSummaryText.addEventListener("click", function () { + if (failedSummary.style.display === "none") { + failedSummary.style.display = "contents"; + } else { + failedSummary.style.display = "none"; + } + }); + + currentValidations.forEach(validation => { + let field = validation.getAttribute("field"); + let fieldValue = txnDetails.getElementsByClassName(`${field}-text`).item(0).innerText; + let validationType = validation.getAttribute("validationType"); + + if (validationType === "isNullable") { + let nullCheck = validation.getElementsByTagName("select").item(0).value; + if (nullCheck === "Not Null") { + let res = fieldValue !== ""; + validationResult &= res; + if (!res) failedSummary.append(listOption(`${field} null`)); + } else { + let res = fieldValue === ""; + validationResult &= res; + if (!res) failedSummary.append(listOption(`${field} not null`)); + } + } else if (validationType === "In") { + let possibleValues = validation.getElementsByTagName("input").item(0).value.split(",").map(x => x.trim()); + let res = possibleValues.includes(fieldValue); + validationResult &= res; + if (!res) failedSummary.append(listOption(`${field} not in ${validation.getElementsByTagName("input").item(0).value}`)); + } else if (validationType === "Matches") { + let res = new RegExp(validation.getElementsByTagName("input").item(0).value).test(fieldValue); + validationResult &= res; + if (!res) failedSummary.append(listOption(`${field} not matches ${validation.getElementsByTagName("input").item(0).value}`)); + } else if (validationType === "Less Than") { + let res = Number(fieldValue.substring(1)) < Number(validation.getElementsByTagName("input").item(0).value); + validationResult &= res; + if (!res) failedSummary.append(listOption(`${field} not less than ${validation.getElementsByTagName("input").item(0).value}`)); + } + }); + txnCard.style.backgroundColor = validationResult ? "hsl(120, 40%, 45%)" : "hsl(2, 40%, 45%)"; + if (failedSummary.childElementCount > 0) { + failedSummaryText.append(failedSummary); + txnCard.append(failedSummaryText); + } + } +} + +function createValidationRules() { + validationContainer.style.display = "none"; + // have a list of 4 validations rules that users could alter + let validationRules = [ + {"field": "description", "validation": {"type": "text", "title": "Matches", "default": "^[A-Z][a-z]+$"}}, + { + "field": "category", + "validation": {"type": "text", "title": "In", "default": "Financial,Food,Travel,Transport,Technology"} + }, + {"field": "amount", "validation": {"type": "number", "title": "Less Than", "default": "175"}}, + ]; + + validationRules.forEach(validationRule => { + let validationRuleContainer = document.createElement("div"); + validationRuleContainer.classList.add("validation-rule-container"); + + let validationField = document.createElement("code"); + validationField.innerText = validationRule.field; + validationRuleContainer.setAttribute("field", validationRule.field); + + if (validationRule.validation.type === "select") { + let validationSelect = document.createElement("select"); + validationRule.validation.options.forEach(opt => { + let option = document.createElement("option"); + option.value = opt; + option.innerText = opt; + validationSelect.append(option); + }); + validationField.style.paddingRight = "3px"; + validationRuleContainer.setAttribute("validationType", "isNullable"); + validationRuleContainer.append(validationField, validationSelect); + } else if (validationRule.validation.type === "text" || validationRule.validation.type === "number") { + let validationTitle = document.createElement("p"); + validationTitle.innerHTML = validationField.outerHTML + ` ${validationRule.validation.title}: `; + validationRuleContainer.setAttribute("validationType", validationRule.validation.title); + + let textBox = document.createElement("input"); + textBox.classList.add("md-input"); + textBox.type = validationRule.validation.type; + textBox.value = validationRule.validation.default; + textBox.innerText = validationRule.validation.default; + textBox.style.marginLeft = "3px"; + + validationRuleContainer.append(validationTitle, textBox); + } + + validationContainer.append(validationRuleContainer); + }); +} + +async function cleanupTransactions() { + // go through each record and remove it + isGenerateData = false; + await wait(2000); + let txnCards = Array.from(allTransactionCardContainer.children).reverse(); + + for (const txnCard of txnCards) { + await wait(500); + allTransactionCardContainer.removeChild(txnCard); + rawTxnContainer.removeChild(rawTxnContainer.lastChild); + } +} + +function tableData(value) { + let element = document.createElement("td"); + element.innerText = value; + return element; +} + +function getNextColour(index) { + // change hue from 0 to 360 by steps of 31, saturation=45%, lightness=75% + let hue = index * 39 % 360; + let saturation = 30; + let lightness = 85; + return `hsl(${hue} ${saturation}% ${lightness}%)`; +} + +function addDays(date, days) { + var result = new Date(date); + result.setDate(result.getDate() + days); + return result; +} + +function listOption(text) { + let option = document.createElement("li"); + option.innerText = text; + return option; +} + +const wait = function (ms = 1500) { + return new Promise(resolve => { + setTimeout(resolve, ms); + }); +}; + +let transactionTypes = [ + {"description": "ATM Withdrawal", "category": "Financial", "logo": ""}, + {"description": "Salary", "category": "Financial", "logo": ""}, + {"description": "7-Eleven", "category": "Food", "logo": ""}, + {"description": "Costco", "category": "Food", "logo": ""}, + {"description": "McDonald's", "category": "Food", "logo": ""}, + {"description": "Sushi Place", "category": "Food", "logo": ""}, + {"description": "Subway", "category": "Food", "logo": ""}, + {"description": "Bus Fare", "category": "Transport", "logo": ""}, + {"description": "Uber", "category": "Transport", "logo": ""}, + {"description": "Gucci", "category": "Clothes", "logo": ""}, + {"description": "H&M", "category": "Clothes", "logo": ""}, + {"description": "Agoda", "category": "Travel", "logo": ""}, + {"description": "Hilton Hotels", "category": "Travel", "logo": ""}, + {"description": "Qantas", "category": "Travel", "logo": ""}, + {"description": "Amazon", "category": "Technology", "logo": ""}, + {"description": "Google", "category": "Technology", "logo": ""}, + {"description": "Microsoft", "category": "Technology", "logo": ""}, + {"description": "Steam", "category": "Games", "logo": ""}, +]; + +generateButton.addEventListener("click", async function () { + isGenerateData = true; + await createTransactionCards(); +}); +validateButton.addEventListener("click", await validateTransactions()); +cleanupButton.addEventListener("click", await cleanupTransactions()); + +createValidationRules(); +await createTransactionCards(); diff --git a/demo/index.html b/demo/index.html new file mode 100644 index 00000000..826f0e3c --- /dev/null +++ b/demo/index.html @@ -0,0 +1,3026 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + Demo - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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Demo

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See what the Data Caterer UI looks like and see what it is capable of.

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+Demo +

+
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  • Create a data generation or validation plan
  • +
  • View different options for defining where schema information comes from or manually defined yourself
  • +
  • View the possible data source connections available for data generation and validation
  • +
  • Edit your existing plans
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  • Check the history and reports of the plan runs
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+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/diagrams/basic_data_caterer_flow.m4v b/diagrams/basic_data_caterer_flow.m4v new file mode 100644 index 00000000..b215600a Binary files /dev/null and b/diagrams/basic_data_caterer_flow.m4v differ diff --git a/diagrams/basic_data_caterer_flow_medium.gif b/diagrams/basic_data_caterer_flow_medium.gif new file mode 100644 index 00000000..bfc6a69e Binary files /dev/null and b/diagrams/basic_data_caterer_flow_medium.gif differ diff --git a/diagrams/data-source/csv_generation_run.gif b/diagrams/data-source/csv_generation_run.gif new file mode 100644 index 00000000..2adcffa4 Binary files /dev/null and b/diagrams/data-source/csv_generation_run.gif differ diff --git a/diagrams/data-source/custom_validation_great_expectation.png b/diagrams/data-source/custom_validation_great_expectation.png new file mode 100644 index 00000000..34b41b24 Binary files /dev/null and b/diagrams/data-source/custom_validation_great_expectation.png differ diff --git a/diagrams/data-source/great_expectations_validation_report.png b/diagrams/data-source/great_expectations_validation_report.png new file mode 100644 index 00000000..b2f650d0 Binary files /dev/null and b/diagrams/data-source/great_expectations_validation_report.png differ diff --git a/diagrams/data-source/http_generation_run.gif b/diagrams/data-source/http_generation_run.gif new file mode 100644 index 00000000..628d1f8f Binary files /dev/null and b/diagrams/data-source/http_generation_run.gif differ diff --git a/diagrams/data-source/marquez_dashboard.png b/diagrams/data-source/marquez_dashboard.png new file mode 100644 index 00000000..04170a45 Binary files /dev/null and b/diagrams/data-source/marquez_dashboard.png differ diff --git a/diagrams/data-source/openmetadata_dashboard.png b/diagrams/data-source/openmetadata_dashboard.png new file mode 100644 index 00000000..c8b3236c Binary files /dev/null and b/diagrams/data-source/openmetadata_dashboard.png differ diff --git a/diagrams/data-source/solace_dashboard.png b/diagrams/data-source/solace_dashboard.png new file mode 100644 index 00000000..467b00e2 Binary files /dev/null and b/diagrams/data-source/solace_dashboard.png differ diff --git a/diagrams/data-source/solace_generation_run.gif b/diagrams/data-source/solace_generation_run.gif new file mode 100644 index 00000000..84a9ffa3 Binary files /dev/null and b/diagrams/data-source/solace_generation_run.gif differ diff --git a/diagrams/data-source/solace_messages_queued.png b/diagrams/data-source/solace_messages_queued.png new file mode 100644 index 00000000..7c586384 Binary files /dev/null and b/diagrams/data-source/solace_messages_queued.png differ diff --git a/diagrams/data_validation_report.png b/diagrams/data_validation_report.png new file mode 100644 index 00000000..ee175055 Binary files /dev/null and b/diagrams/data_validation_report.png differ diff --git a/diagrams/foreign_keys.drawio.png b/diagrams/foreign_keys.drawio.png new file mode 100644 index 00000000..85852135 Binary files /dev/null and b/diagrams/foreign_keys.drawio.png differ diff --git a/diagrams/high_level_flow-basic-flow.svg b/diagrams/high_level_flow-basic-flow.svg new file mode 100644 index 00000000..271a2072 --- /dev/null +++ b/diagrams/high_level_flow-basic-flow.svg @@ -0,0 +1,3 @@ + + +
Data Source A
Data Source A
Data Source B
Data Source B
Data Caterer
Data Caterer
Data Storage C
Data Storage C
Data Caterer
Data Caterer
1. Generate
1. Generate
Data Consumer
Data Consumer
2. Consume
2. Consume
Data Source D
Data Source D
4. Validate
4. Validate
3. Write
3. Write
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Data Source A
Data Source A
Data Source B
Data Source B
Data Caterer
Data Caterer
Data Storage C
Data Storage C
Data Caterer
Data Caterer
1. Generate
1. Generate
Data Consumer
Data Consumer
2. Consume
2. Consu...
Data Source D
Data Source D
5. Validate
5. Validate
3. Write
3. Write
Data Quality Source
Data Quality Sour...
4. Get Validations
4. Get Validations
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Consumer
Consumer
1. Generate
1. Generate
4. Validate
4. Validate
2. Read
2. Read
3. Write
3. Write
Scenario: Test account creation
Scenario: Test account creation
1. Generate Kafka Events

account_idACC8931275
namePeter
created_date2023-01-01
1. Generate Kafka Events...
Consumer
Consumer
2. Read Kafka Events
3. Write to Postgres with Business Logic
2. Read Kafka Events...
4. Validate Postgres Data
  • 1000 records should exist
  • account_id is not null and unique
  • ACC8931275 should exist
  • ACC8931275 should have first_name Peter
  • ACC8931275 should have date 2023-01-01
4. Validate Postgres Data...
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Data Caterer
Data Caterer
No-SQL
No-SQL
JDBC
JDBC
Messaging
Messaging
HTTP
HTTP
Metadata
Metadata
Files
Files
Jobs
Jobs

  • Read metadata from data sources
    • Direct connection
    • Sample data
    • Metadata services
  • Generate data for consumers
    • Data format agnostic
  • Run data validations
    • Basic
    • Aggregate
    • Relationship
    • Data profile
  • Clean up generated data

Read metadata from data sources...
Cloud
Cloud
Kubernetes
Kuber...
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Data Caterer
Data Caterer
No-SQL
No-SQL
JDBC
JDBC
Messaging
Messaging
HTTP
HTTP
Metadata
Metadata
Files
Files
Jobs
Jobs

  • Read metadata from data sources
    • Direct connection
    • Sample data
    • Metadata services
  • Generate data for consumers
    • Data format agnostic
  • Run data validations
    • Basic
    • Aggregate
    • Relationship
    • Data profile
  • Clean up generated data

Read metadata from data sources...
Cloud
Cloud
Kubernetes
Kuber...
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Data Source A
Data Source A
Data Source B
Data Source B
Data Caterer
Data Caterer
Data Storage C
Data Storage C
Data Caterer
Data Caterer
1. Generate
1. Generate
Data Consumer
Data Consumer
2. Consume
2. Consume
Data Source D
Data Source D
4. Validate
4. Validate
3. Write
3. Write
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Data Source A
Data Source A
Data Storage A
Data Storage A
Data Source B
Data Source B
Consumer A
Consumer A
Consumer B
Consumer B
Data Caterer
Data Caterer
1a. Generate
1a. Generate
4. Validate
4. Validate
1b. Generate
1b. Generate
2a. Read
2a. Read
3a. Write
3a. Write
3b. Write
3b. Write
2b. Read
2b. Read
Data Source A
Data Source A
Data Storage A
Data Storage A
Consumer A
Consumer A
Data Caterer
Data Caterer
1. Generate
1. Generate
4. Validate
4. Validate
2. Read
2. Read
3. Write
3. Write
Generate and Validate
Generate and Validate
Generate Multiple and Validate
Generate Multiple and Validate
Data Source A
Data Source A
Data Storage A
Data Storage A
Consumer A
Consumer A
Data Caterer
Data Caterer
2. Generate
2. Generate
5. Validate
5. Validate
3. Read
3. Read
4. Write
4. Write
External Metadata, Generate and Validate
External Metadata, Generate and Validate
Metadata Source
Metadata Source
1. Get Schema/Metadata
1. Get Schema/Metadata
Data Source A
Data Source A
Data Storage A
Data Storage A
Consumer A
Consumer A
Data Caterer
Data Caterer
2. Generate
2. Generate
5. Validate
5. Validate
3. Read
3. Read
4. Write
4. Write
Direct Metadata, Generate and Validate
Direct Metadata, Generate and Validate
1. Get Schema/Metadata
1. Get Schema/Metadata
Data Source A
Data Source A
Data Storage A
Data Storage A
Consumer A
Consumer A
Data Caterer
Data Caterer
3. Generate
3. Generate
6. Validate
6. Validate
4. Read
4. Read
5. Write
5. Write
Direct Metadata for Schema/Validations, Generate and Validate
Direct Metadata for Schema/Validations, Generate an...
1. Get Schema/Metadata
1. Get Schema/Metadata
2. Generate Validations
2. Generate Validations
Data Source A
Data Source A
Data Storage A
Data Storage A
Consumer A
Consumer A
Data Caterer
Data Caterer
3. Generate
3. Generate
6. Validate
6. Validate
4. Read
4. Read
5. Write
5. Write
External Metadata for Schema/Validations, Generate and Validate
External Metadata for Schema/Validations, Generate an...
1. Get Schema/Metadata
1. Get Schema/Metadata
2. Get Validations
2. Get Validations
Metadata Source
Metadata Source
Data Quality Source
Data Quality Sour...
Data Source A
Data Source A
Data Storage A
Data Storage A
Consumer A
Consumer A
Data Caterer
Data Caterer
1. Generate
1. Generate
4. Validate
4. Validate
2. Read
2. Read
3. Write
3. Write
Generate, Validate and Clean
Generate, Validate and Clean
5. Clean
5. Clean
Data Source A
Data Source A
Data Source B
Data Source B
Data Caterer
Data Caterer
1. Generate
1. Generate
2. Generate
2. Generate
Generate data
Generate data
Data Storage A
Data Storage A
Data Storage B
Data Storage B
Data Caterer
Data Caterer
2. Validate
2. Validate
Validate data
Validate data
1. Validate
1. Validate
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Data Source B
Data Source A
Data Caterer
Data Source D
Data Caterer
1. Generate
Data Consumer
2. Consume
Data Source C
4. Validate
5. Clean
3. Write
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Data Source B
Data Source A
Data Caterer
Data Source D
Data Caterer
1. Generate
Data Consumer
2. Consume
Data Source C
4. Validate
5. Clean
3. Write
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Data Caterer
Data Caterer
Database
Database
Files
Files
Events
Events
API
API
Database
Database
Files
Files
Event
Schema
Event...
API
Definition
API...
Get Latest Schema
Get Latest Schema
Generate Data
Generate Data
Jobs
Jobs
Services
Services
Other Data Consumers
Other Data Consumers
Consume Data
Consume Data
Data Caterer
Data Caterer
Database
Database
Files
Files
Events
Events
API
API
Validate/Clean Data
Validate/Clean Data
Metadata
Services
Metadata...
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Data Caterer
Data Caterer
Database
Database
Files
Files
Events
Events
API
API
Database
Database
Files
Files
Event
Schema
Event...
API
Definition
API...
Get Latest Schema
Get Latest Schema
Generate Data
Generate Data
Jobs
Jobs
Services
Services
Other Data Consumers
Other Data Consumers
Consume Data
Consume Data
Data Caterer
Data Caterer
Database
Database
Files
Files
Events
Events
API
API
Validate/Clean Data
Validate/Clean Data
Metadata
Services
Metadata...
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Run Data Caterer

+

Quick start

+
+
    +
  • +

    Mac

    +
    +

    Instructions for Mac download

    +
  • +
  • +

    Windows

    +
    +

    Instructions for Windows download

    +
  • +
  • +

    Docker

    +
    +

    Instructions for Docker download

    +
  • +
  • +

    Linux

    +
    +

    Instructions for Linux download

    +
  • +
  • +

    Java/Scala

    +
    +

    Instructions for using Java/Scala API via Docker

    +
  • +
+
+

Mac

+
    +
  1. Mac download
  2. +
  3. Extract zip file
  4. +
  5. Double-click 'DataCaterer-1.0.0.dmg'
  6. +
  7. Drag Data Caterer into 'Applications' folder
  8. +
  9. Go to 'Applications' folder, right click Data Caterer, click 'Open' and then 'Open Anyway'
  10. +
  11. If your browser doesn't open, go to http://localhost:9898 in your preferred browser
  12. +
+

Windows

+
    +
  1. Windows download
  2. +
  3. After downloaded, go to 'Downloads' folder and 'Extract All' from data-caterer-windows
  4. +
  5. Double-click 'DataCaterer-1.0.0' to install Data Caterer
  6. +
  7. Click on 'More info' then at the bottom, click 'Run anyway'
  8. +
  9. Go to '/Program Files/DataCaterer' folder and run DataCaterer application
  10. +
  11. If your browser doesn't open, go to http://localhost:9898 in your preferred browser
  12. +
+

Docker

+
    +
  1. Docker +
    docker run -d -i -p 9898:9898 -e DEPLOY_MODE=standalone --name datacaterer datacatering/data-caterer-basic:0.10.8
    +
  2. +
  3. Open localhost:9898
  4. +
+

Linux

+
    +
  1. Linux download
  2. +
  3. If your browser doesn't open, go to http://localhost:9898 in your preferred browser
  4. +
+

Java/Scala API

+
git clone git@github.com:data-catering/data-caterer-example.git
+cd data-caterer-example && ./run.sh
+#check results under docker/sample/report/index.html folder
+
+

Report

+

Check the report generated under docker/data/custom/report/index.html.

+

Sample report can also be seen here.

+

Slow start

+

Guided tour

+

Check out the starter guide here that will take your through +step by step. You can also check the other guides here to see the other possibilities of +what Data Caterer can achieve for you.

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+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/index.html b/index.html new file mode 100644 index 00000000..c114b873 --- /dev/null +++ b/index.html @@ -0,0 +1,3167 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + Automated test data management tool - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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Automated test data management.

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Create simple managed flows for data generation, validation and cleanup.

+ +

+ + +

+

+Try now! +Demo +

+
+
+Any data source
Built for any batch or real-time data sources for data generation or validation. +
+Define your data connections for data sources, metadata sources and alerts. +
+ +
+ +
+Create relationships between any data sources, batch or real-time. +
+Relationships
Generate data with relationships between any data source. +
+
+ +
+ +
+
+Complex Data Validations
Don't just fire and forget. Validate your data directly based on data generated. +
+Define specific field, group by/aggregate, column name or upstream 
+data source validations. +
+ +
+ + + +

+Try now! +Demo +

+

What is it

+
+
    +
  • +

    Test data management tool

    +
    +

    Generate synthetic production-like data to be consumed and validated. Clean up the data after using to keep your +environments clean.

    +
  • +
  • +

    Designed for any data source

    +
    +

    We aim to support pushing data to any data source, in any format, batch or real-time.

    +
  • +
  • +

    Low/no code solution

    +
    +

    Use the tool via either UI, Scala, Java or YAML.

    +
  • +
  • +

    Developer productivity tool

    +
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    If you are a new developer or seasoned veteran, cut down on your feedback loop when developing with data.

    +
  • +
+
+

What it is not

+
+
    +
  • +

    Metadata storage/platform

    +
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    You could store and use metadata within the data generation/validation tasks but is not the recommended approach. +Rather, this metadata should be gathered from existing services who handle metadata on behalf of Data Caterer.

    +
  • +
  • +

    Data contract

    +
    +

    The focus of Data Caterer is on the data generation and testing, which can include details about how the data looks +like and how it behaves. But it does not encompass all the additional metadata that comes with a data contract such +as SLAs, security, etc.

    +
  • +
+
+

+Try now! +Demo +

+ + + + + + + + + + + + + + + + + + +
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+ + + + + +
+ + + +
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+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/js/open_in_new_tab.js b/js/open_in_new_tab.js new file mode 100644 index 00000000..964fb4c1 --- /dev/null +++ b/js/open_in_new_tab.js @@ -0,0 +1,45 @@ +// Description: Open external links in a new tab and PDF links in a new tab +// Source: https://jekyllcodex.org/without-plugin/new-window-fix/ + +//open external links in a new window +function external_new_window() { + for(let c = document.getElementsByTagName("a"), a = 0;a < c.length;a++) { + let b = c[a]; + if(b.getAttribute("href") && b.hostname !== location.hostname) { + b.target = "_blank"; + b.rel = "noopener"; + } + } +} +//open PDF links in a new window +function pdf_new_window () +{ + if (!document.getElementsByTagName) { + return false; + } + let links = document.getElementsByTagName("a"); + for (let eleLink=0; eleLink < links.length; eleLink ++) { + if ((links[eleLink].href.indexOf('.pdf') !== -1)||(links[eleLink].href.indexOf('.doc') !== -1)||(links[eleLink].href.indexOf('.docx') !== -1)) { + links[eleLink].onclick = + function() { + window.open(this.href); + return false; + } + } + } +} + +function apply_rules() { + external_new_window(); + pdf_new_window(); +} + +if (typeof document$ !== "undefined") { + // compatibility with mkdocs-material's instant loading feature + // based on code from https://github.com/timvink/mkdocs-charts-plugin + // Copyright (c) 2021 Tim Vink - MIT License + // fixes [Issue #2](https://github.com/JakubAndrysek/mkdocs-open-in-new-tab/issues/2) + document$.subscribe(function() { + apply_rules(); + }) +} \ No newline at end of file diff --git a/legal/privacy-policy/index.html b/legal/privacy-policy/index.html new file mode 100644 index 00000000..8985ce59 --- /dev/null +++ b/legal/privacy-policy/index.html @@ -0,0 +1,3206 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + Privacy policy - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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Privacy Policy

+

Last updated September 25, 2023

+

Data Caterer Policy on Privacy of Customer Personal Information

+

Peter John Flook is committed to protecting the privacy and security of your personal information obtained by reason of +your use +of Data Caterer. This policy explains the types of customer personal information we collect, how it is used, and the +steps +we take to ensure your personal information is handled appropriately.

+

Who is Peter John Flook?

+

For purposes of this Privacy Policy, “Peter John Flook” means Peter John Flook, the company developing and providing +Data Caterer and related websites and services.

+

What is personal information?

+

Personal information is information that refers to an individual specifically and is recorded in any form. Personal +information includes such things as age, income, date of birth, ethnic origin and credit records. Information about +individuals contained in the following documents is not considered personal information:

+
    +
  • public telephone directories, where the subscriber can refuse to be listed
  • +
  • professional and business directories available to the public
  • +
  • public registries and court records
  • +
  • other publicly available printed and electronic publications
  • +
+

We are accountable to you

+

Peter John Flook is responsible for all personal information under its control. Our team is accountable for compliance +with these privacy and security principles.

+ +

Peter John Flook identifies the purpose for which your personal information is collected and will be used or disclosed. +If that purpose is not listed below we will do this before or at the time the information is actually being collected. +You will be deemed to consent to our use of your personal information for the purpose of:

+
    +
  • communicating with you generally
  • +
  • processing your purchases
  • +
  • processing and keeping track of transactions and reporting back to you
  • +
  • protecting against fraud or error
  • +
  • providing product and services requested by you
  • +
  • recommending products and services that Peter John Flook believes will be of interest and provide value to you
  • +
  • fulfilling any other purpose that would be reasonably apparent to the average person at the time we collect it from + you
  • +
+

Otherwise, Peter John Flook will obtain your express consent (by verbal, written or electronic agreement) to collect, +use or disclose your personal information. You can change your consent preferences at any time by contacting Peter John +Flook (please refer to the “How to contact us” section below).

+

We limit collection of your personal information

+

Peter John Flook collects only the information required to provide products and services to you. Peter John Flook will +collect personal information only by clear, fair and lawful means.

+

We receive and store any information you enter on our website or give us in any other way. You can choose not to provide +certain information, but then you might not be able to take advantage of many of our features.

+

Peter John Flook does not receive or store personal content saved to your local device while using Data Caterer.

+

We also receive and store certain types of information whenever you interact with us.

+

Information provided to Stripe

+

All purchases that are made through this site are processed securely and externally by Stripe. Unless you expressly +consent otherwise, we do not see or have access to any personal information that you may provide to Stripe, other than +information that is required in order to process your order and deliver your purchased items to you (eg, your name, +email address and billing/postal address).

+

We limit disclosure and retention of your personal information

+

Peter John Flook does not disclose personal information to any organization or person for any reason except the +following:

+

We employ other companies and individuals to perform functions on our behalf. Examples include fulfilling orders, +delivering packages, sending postal mail and e-mail, removing repetitive information from customer lists, analyzing +data, providing marketing assistance, processing credit card payments, and providing customer service. They have access +to personal information needed to perform their functions, but may not use it for other purposes. We may use service +providers located outside of Australia, and, if applicable, your personal information may be processed and stored in other +countries and therefore may be subject to disclosure under the laws of those countries. +As we continue to develop our business, we might sell or buy stores, subsidiaries, or business units. In such +transactions, customer information generally is one of the transferred business assets but remains subject to the +promises made in any pre-existing Privacy Notice (unless, of course, the customer consents otherwise). Also, in the +unlikely event that Peter John Flook or substantially all of its assets are acquired, customer information of course +will be one +of the transferred assets. +You are deemed to consent to disclosure of your personal information for those purposes. If your personal information is +shared with third parties, those third parties are bound by appropriate agreements with Peter John Flook to secure and +protect +the confidentiality of your personal information.

+

Peter John Flook retains your personal information only as long as it is required for our business relationship or as +required +by federal and provincial laws.

+

We keep your personal information up to date and accurate

+

Peter John Flook keeps your personal information up to date, accurate and relevant for its intended use.

+

You may request access to the personal information we have on record in order to review and amend the information, as +appropriate. In circumstances where your personal information has been provided by a third party, we will refer you to +that party (e.g. credit bureaus). To access your personal information, refer to the “How to contact us” section below.

+

The security of your personal information is a priority for Peter John Flook

+

We take steps to safeguard your personal information, regardless of the format in which it is held, including:

+

physical security measures such as restricted access facilities and locked filing cabinets +electronic security measures for computerized personal information such as password protection, database encryption and +personal identification numbers. We work to protect the security of your information during transmission by using +“Transport Layer Security” (TLS) protocol. +organizational processes such as limiting access to your personal information to a selected group of individuals +contractual obligations with third parties who need access to your personal information requiring them to protect and +secure your personal information +It’s important for you to protect against unauthorized access to your password and your computer. Be sure to sign off +when you’ve finished using any shared computer.

+ +

Our site may include third-party advertising and links to other websites. We do not provide any personally identifiable +customer information to these advertisers or third-party websites.

+

These third-party websites and advertisers, or Internet advertising companies working on their behalf, sometimes use +technology to send (or “serve”) the advertisements that appear on our website directly to your browser. They +automatically receive your IP address when this happens. They may also use cookies, JavaScript, web beacons (also known +as action tags or single-pixel gifs), and other technologies to measure the effectiveness of their ads and to +personalize advertising content. We do not have access to or control over cookies or other features that they may use, +and the information practices of these advertisers and third-party websites are not covered by this Privacy Notice. +Please contact them directly for more information about their privacy practices. In addition, the Network Advertising +Initiative offers useful information about Internet advertising companies (also called “ad networks” or “network +advertisers”), including information about how to opt-out of their information collection. You can access the Network +Advertising Initiative at http://www.networkadvertising.org.

+

Redirection to Stripe

+

In particular, when you submit an order to us, you may be automatically redirected to Stripe in order to complete the +required payment. The payment page that is provided by Stripe is not part of this site. As noted above, we are not privy +to any of the bank account, credit card or other personal information that you may provide to Stripe, other than +information that is required in order to process your order and deliver your purchased items to you (eg, your name, +email address and billing/postal address). We recommend that you refer to Stripe’s privacy statement if you would like +more information about how Stripe collects and handles your personal information.

+

We are open about our privacy and security policy

+

We are committed to providing you with understandable and easily available information about our policy and practices +related to management of your personal information. This policy and any related information is available at all times on +our website, https://data.catering/about/ under Privacy or on request. To contact us, refer to the “How +to contact us” section below.

+

We provide access to your personal information stored by Peter John Flook

+

You can request access to your personal information stored by Peter John Flook. To contact us, refer to the “How to +contact us” section below. Upon receiving such a request, Peter John Flook will:

+

inform you about what type of personal information we have on record or in our control, how it is used and to whom it +may have been disclosed +provide you with access to your information so you can review and verify the accuracy and completeness and request +changes to the information +make any necessary updates to your personal information +We respond to your questions, concerns and complaints about privacy +Peter John Flook responds in a timely manner to your questions, concerns and complaints about the privacy of your +personal +information and our privacy policies and procedures.

+

How to contact us

+
    +
  • by email at peter.flook@data.catering
  • +
+

Our business changes constantly, and this privacy notice will change also. We may e-mail periodic reminders of our +notices and conditions, unless you have instructed us not to, but you should check our website frequently to see +recent +changes. We are, however, committed to protecting your information and will never materially change our policies and +practices to make them less protective of customer information collected in the past without the consent of affected +customers.

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+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/legal/terms-of-service/index.html b/legal/terms-of-service/index.html new file mode 100644 index 00000000..a7d41770 --- /dev/null +++ b/legal/terms-of-service/index.html @@ -0,0 +1,3190 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + Terms of service - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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Terms and Conditions

+

Last updated: September 25, 2023

+

Please read these terms and conditions carefully before using Our Service.

+

Interpretation and Definitions

+

Interpretation

+

The words of which the initial letter is capitalized have meanings defined under the following conditions. The following +definitions shall have the same meaning regardless of whether they appear in singular or in plural.

+

Definitions

+

For the purposes of these Terms and Conditions:

+
    +
  • Application means the software program provided by the Company downloaded by You on any electronic device, named + Data Caterer
  • +
  • Application Store means the digital distribution service operated and developed by Docker Inc. (“Docker”) in which + the Application has been downloaded.
  • +
  • Affiliate means an entity that controls, is controlled by or is under common control with a party, where "control" + means ownership of 50% or more of the shares, equity interest or other securities entitled to vote for election of + directors or other managing authority.
  • +
  • Country refers to: New South Wales, Australia
  • +
  • Company (referred to as either "the Company", "We", "Us" or "Our" in this Agreement) refers to Peter John Flook ( + ABN: 65153160916), 30 Anne William Drive, West Pennant Hills, 2125, NSW, Australia.
  • +
  • Device means any device that can access the Service such as a computer, a cellphone or a digital tablet.
  • +
  • Service refers to the Application.
  • +
  • Terms and Conditions (also referred as "Terms") mean these Terms and Conditions that form the entire agreement + between You and the Company regarding the use of the Service.
  • +
  • Third-party Social Media Service means any services or content (including data, information, products or services) + provided by a third party that may be displayed, included or made available by the Service.
  • +
  • You means the individual accessing or using the Service, or the company, or other legal entity on behalf of which + such individual is accessing or using the Service, as applicable.
  • +
+

Acknowledgment

+

These are the Terms and Conditions governing the use of this Service and the agreement that operates between You and the +Company. These Terms and Conditions set out the rights and obligations of all users regarding the use of the Service.

+

Your access to and use of the Service is conditioned on Your acceptance of and compliance with these Terms and +Conditions. These Terms and Conditions apply to all visitors, users and others who access or use the Service.

+

By accessing or using the Service You agree to be bound by these Terms and Conditions. If You disagree with any part of +these Terms and Conditions then You may not access the Service.

+

You represent that you are over the age of 18. The Company does not permit those under 18 to use the Service.

+

Your access to and use of the Service is also conditioned on Your acceptance of and compliance with the Privacy Policy +of the Company. Our Privacy Policy describes Our policies and procedures on the collection, use and disclosure of Your +personal information when You use the Application or the Website and tells You about Your privacy rights and how the law +protects You. Please read Our Privacy Policy carefully before using Our Service.

+

Links to Other Websites

+

Our Service may contain links to third-party websites or services that are not owned or controlled by the Company.

+

The Company has no control over, and assumes no responsibility for, the content, privacy policies, or practices of any +third party websites or services. You further acknowledge and agree that the Company shall not be responsible or +liable, directly or indirectly, for any damage or loss caused or alleged to be caused by or in connection with the use +of or reliance on any such content, goods or services available on or through any such websites or services.

+

We strongly advise You to read the terms and conditions and privacy policies of any third-party websites or services +that You visit.

+

Termination

+

We may terminate or suspend Your access immediately, without prior notice or liability, for any reason whatsoever, +including without limitation if You breach these Terms and Conditions.

+

Upon termination, Your right to use the Service will cease immediately.

+

Limitation of Liability

+

Notwithstanding any damages that You might incur, the entire liability of the Company and any of its suppliers under any +provision of these Terms and Your exclusive remedy for all the foregoing shall be limited to the amount actually paid +by You through the Service or 100 USD if You haven't purchased anything through the Service.

+

To the maximum extent permitted by applicable law, in no event shall the Company or its suppliers be liable for any +special, incidental, indirect, or consequential damages whatsoever (including, but not limited to, damages for loss of +profits, loss of data or other information, for business interruption, for personal injury, loss of privacy arising out +of or in any way related to the use of or inability to use the Service, third-party software and/or third-party hardware +used with the Service, or otherwise in connection with any provision of these Terms), even if the Company or any +supplier has been advised of the possibility of such damages and even if the remedy fails of its essential purpose.

+

Some states do not allow the exclusion of implied warranties or limitation of liability for incidental or consequential +damages, which means that some of the above limitations may not apply. In these states, each party's liability will be +limited to the greatest extent permitted by law.

+

"AS IS" and "AS AVAILABLE" Disclaimer

+

The Service is provided to You "AS IS" and "AS AVAILABLE" and with all faults and defects without warranty of any kind. +To the maximum extent permitted under applicable law, the Company, on its own behalf and on behalf of its Affiliates and +its and their respective licensors and service providers, expressly disclaims all warranties, whether express, implied, +statutory or otherwise, with respect to the Service, including all implied warranties of merchantability, fitness for a +particular purpose, title and non-infringement, and warranties that may arise out of course of dealing, course of +performance, usage or trade practice. Without limitation to the foregoing, the Company provides no warranty or +undertaking, and makes no representation of any kind that the Service will meet Your requirements, achieve any intended +results, be compatible or work with any other software, applications, systems or services, operate without interruption, +meet any performance or reliability standards or be error free or that any errors or defects can or will be corrected.

+

Without limiting the foregoing, neither the Company nor any of the company's provider makes any representation or +warranty of any kind, express or implied: (i) as to the operation or availability of the Service, or the information, +content, and materials or products included thereon; (ii) that the Service will be uninterrupted or error-free; (iii) as +to the accuracy, reliability, or currency of any information or content provided through the Service; or (iv) that the +Service, its servers, the content, or e-mails sent from or on behalf of the Company are free of viruses, scripts, trojan +horses, worms, malware, time-bombs or other harmful components.

+

Some jurisdictions do not allow the exclusion of certain types of warranties or limitations on applicable statutory +rights of a consumer, so some or all of the above exclusions and limitations may not apply to You. But in such a case +the exclusions and limitations set forth in this section shall be applied to the greatest extent enforceable under +applicable law.

+

Governing Law

+

The laws of the Country, excluding its conflicts of law rules, shall govern this Terms and Your use of the Service. Your +use of the Application may also be subject to other local, state, national, or international laws.

+

Disputes Resolution

+

If You have any concern or dispute about the Service, You agree to first try to resolve the dispute informally by +contacting the Company.

+

For European Union (EU) Users

+

If You are a European Union consumer, you will benefit from any mandatory provisions of the law of the country in which +you are resident in.

+

United States Legal Compliance

+

You represent and warrant that (i) You are not located in a country that is subject to the United States government +embargo, or that has been designated by the United States government as a "terrorist supporting" country, and (ii) You +are not listed on any United States government list of prohibited or restricted parties.

+

Severability and Waiver

+

Severability

+

If any provision of these Terms is held to be unenforceable or invalid, such provision will be changed and interpreted +to accomplish the objectives of such provision to the greatest extent possible under applicable law and the remaining +provisions will continue in full force and effect.

+

Waiver

+

Except as provided herein, the failure to exercise a right or to require performance of an obligation under these Terms +shall not affect a party's ability to exercise such right or require such performance at any time thereafter nor shall +the waiver of a breach constitute a waiver of any subsequent breach.

+

Translation Interpretation

+

These Terms and Conditions may have been translated if We have made them available to You on our Service. +You agree that the original English text shall prevail in the case of a dispute.

+

Changes to These Terms and Conditions

+

We reserve the right, at Our sole discretion, to modify or replace these Terms at any time. If a revision is material We +will make reasonable efforts to provide at least 30 days' notice prior to any new terms taking effect. What constitutes +a material change will be determined at Our sole discretion.

+

By continuing to access or use Our Service after those revisions become effective, You agree to be bound by the revised +terms. If You do not agree to the new terms, in whole or in part, please stop using the website and the Service.

+

Contact Us

+

If you have any questions about these Terms and Conditions, You can contact us:

+
    +
  • By email: peter.flook@data.catering
  • +
+ + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/sample/datafaker/expressions.txt b/sample/datafaker/expressions.txt new file mode 100644 index 00000000..55799fb8 --- /dev/null +++ b/sample/datafaker/expressions.txt @@ -0,0 +1,1024 @@ +Address.buildingNumber +Address.city +Address.cityName +Address.cityPrefix +Address.citySuffix +Address.country +Address.countryCode +Address.countyByZipCode +Address.fullAddress +Address.latLon +Address.latitude +Address.lonLat +Address.longitude +Address.mailBox +Address.postcode +Address.secondaryAddress +Address.state +Address.stateAbbr +Address.streetAddress +Address.streetAddressNumber +Address.streetName +Address.streetPrefix +Address.streetSuffix +Address.timeZone +Address.zipCode +Address.zipCodeByState +Address.zipCodePlus4 +Ancient.god +Ancient.hero +Ancient.primordial +Ancient.titan +Animal.genus +Animal.name +Animal.scientificName +Animal.species +App.author +App.name +App.version +Appliance.brand +Appliance.equipment 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+Science.unit +Seinfeld.business +Seinfeld.character +Seinfeld.quote +Shakespeare.asYouLikeItQuote +Shakespeare.hamletQuote +Shakespeare.kingRichardIIIQuote +Shakespeare.romeoAndJulietQuote +Show.adultMusical +Show.kidsMusical +Show.play +SiliconValley.app +SiliconValley.character +SiliconValley.company +SiliconValley.email +SiliconValley.invention +SiliconValley.motto +SiliconValley.quote +SiliconValley.url +Simpsons.character +Simpsons.location +Simpsons.quote +Sip.bodyString +Sip.clientErrorResponsePhrase +Sip.contentType +Sip.globalErrorResponsePhrase +Sip.method +Sip.nameAddress +Sip.provisionalResponsePhrase +Sip.redirectResponsePhrase +Sip.serverErrorResponsePhrase +Sip.successResponsePhrase +Size.adjective +SlackEmoji.activity +SlackEmoji.celebration +SlackEmoji.custom +SlackEmoji.emoji +SlackEmoji.foodAndDrink +SlackEmoji.nature +SlackEmoji.objectsAndSymbols +SlackEmoji.people +SlackEmoji.travelAndPlaces +SonicTheHedgehog.character +SonicTheHedgehog.game +SonicTheHedgehog.zone +SoulKnight.bosses +SoulKnight.buffs +SoulKnight.characters +SoulKnight.enemies +SoulKnight.statues +SoulKnight.weapons +SouthPark.characters +SouthPark.quotes +Space.agency +Space.agencyAbbreviation +Space.company +Space.constellation +Space.distanceMeasurement +Space.galaxy +Space.meteorite +Space.moon +Space.nasaSpaceCraft +Space.nebula +Space.planet +Space.star +Space.starCluster +Spongebob.characters +Spongebob.episodes +Spongebob.quotes +StarCraft.building +StarCraft.character +StarCraft.planet +StarCraft.unit +StarTrek.character +StarTrek.klingon +StarTrek.location +StarTrek.species +StarTrek.villain +StarWars.alternateCharacterSpelling +StarWars.callSign +StarWars.character +StarWars.droids +StarWars.planets +StarWars.quotes +StarWars.species +StarWars.vehicles +StarWars.wookieWords +Stargate.characters +Stargate.planets +Stargate.quotes +Stock.nsdqSymbol +Stock.nyseSymbol +StrangerThings.character +StrangerThings.quote +StreetFighter.characters +StreetFighter.moves +StreetFighter.quotes +StreetFighter.stages +StudioGhibli.character +StudioGhibli.movie +StudioGhibli.quote +Subscription.paymentMethods +Subscription.paymentTerms +Subscription.plans +Subscription.statuses +Subscription.subscriptionTerms +Suits.characters +Suits.quotes +SuperMario.characters +SuperMario.games +SuperMario.locations +SuperSmashBros.fighter +SuperSmashBros.stage +Superhero.descriptor +Superhero.name +Superhero.power +Superhero.prefix +Superhero.suffix +Supernatural.character +Supernatural.creature +Supernatural.weapon +SwordArtOnline.gameName +SwordArtOnline.item +SwordArtOnline.location +SwordArtOnline.realName +Tea.type +Tea.variety +Team.creature +Team.name +Team.sport +Team.state +Text.text +TheExpanse.characters +TheExpanse.locations +TheExpanse.quotes +TheExpanse.ships +TheItCrowd.actors +TheItCrowd.characters +TheItCrowd.emails +TheItCrowd.quotes +TheKingkillerChronicle.book +TheKingkillerChronicle.character +TheKingkillerChronicle.creature +TheKingkillerChronicle.location +TheRoom.actors +TheRoom.characters +TheRoom.locations +TheRoom.quotes +TheThickOfIt.characters +TheThickOfIt.departments +TheThickOfIt.positions +TheVentureBros.character +TheVentureBros.organization +TheVentureBros.quote +TheVentureBros.vehicle +Time.between +Time.future +Time.past +Touhou.characterFirstName +Touhou.characterLastName +Touhou.characterName +Touhou.gameName +Touhou.trackName +Tron.alternateCharacterSpelling +Tron.character +Tron.game +Tron.location +Tron.quote +Tron.tagline +Tron.vehicle +TwinPeaks.character +TwinPeaks.location +TwinPeaks.quote +Twitter.getLink +Twitter.text +Twitter.twitterId +Twitter.userId +Twitter.userName +Unique.fetchFromYaml +University.name +University.prefix +University.suffix +VForVendetta.characters +VForVendetta.quotes +VForVendetta.speeches +Vehicle.carType +Vehicle.color +Vehicle.doors +Vehicle.driveType +Vehicle.engine +Vehicle.fuelType +Vehicle.licensePlate +Vehicle.make +Vehicle.makeAndModel +Vehicle.manufacturer +Vehicle.model +Vehicle.style +Vehicle.transmission +Vehicle.upholstery +Vehicle.upholsteryColor +Vehicle.upholsteryFabric +Vehicle.vin +Verb.base +Verb.ingForm +Verb.past +Verb.pastParticiple +Verb.simplePresent +VideoGame.genre +VideoGame.platform +VideoGame.title +Volleyball.coach +Volleyball.formation +Volleyball.player +Volleyball.position +Volleyball.team +WarhammerFantasy.creatures +WarhammerFantasy.factions +WarhammerFantasy.heros +WarhammerFantasy.locations +WarhammerFantasy.quotes +Weather.description +Weather.temperatureCelsius +Weather.temperatureFahrenheit +Witcher.book +Witcher.character +Witcher.location +Witcher.monster +Witcher.potion +Witcher.quote +Witcher.school +Witcher.sign +Witcher.witcher +WorldOfWarcraft.hero +WorldOfWarcraft.quotes +Yoda.quote +Zelda.character +Zelda.game +Zodiac.sign \ No newline at end of file diff --git a/sample/demo/demo-index/index.html b/sample/demo/demo-index/index.html new file mode 100644 index 00000000..aa78463d --- /dev/null +++ b/sample/demo/demo-index/index.html @@ -0,0 +1,2994 @@ + + + + + + + + + + + + + + + + + + + + + + + + Demo index - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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Demo index

+ + + +

What does it look like

+

Play around with the example below to see how Data Caterer can generate transaction data, validate it and then clean +it up.

+

*This is for illustrative purposes

+ +

+Generate +Validate +Cleanup +

+
+
+ Data consumer reading from source and pushing to sink data source +
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+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/sample/demo/index.html b/sample/demo/index.html new file mode 100644 index 00000000..02fb6e27 --- /dev/null +++ b/sample/demo/index.html @@ -0,0 +1,87 @@ + + + + Data Caterer Demo + + + + + + + +
+ + + + + + + + Data Consumer + + + +
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+

Accounts

+ + + + + + + + + + +
account_idstatusopen_date
+
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+

Transactions

+ + + + + + + + + +
account_idamount
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+ + + + + \ No newline at end of file diff --git a/sample/demo/index.js b/sample/demo/index.js new file mode 100644 index 00000000..f49aa0ec --- /dev/null +++ b/sample/demo/index.js @@ -0,0 +1,284 @@ +/* +have a list of scenarios that users can view +data generation scenarios: +- financial accounts and transactions +- e-commerce site orders +- customer on-boarding (application, status) + +data validation scenarios: +- field validation +- relationship validation +- upstream validation + +data cleanup scenario: +- delete generated data +- delete downstream data + */ + +let rawTxnContainer = document.getElementById("raw-transaction-container"); +let allTransactionCardContainer = document.getElementById("transaction-card-container"); +let validationContainer = document.getElementById("validation-container"); + +let generateButton = document.getElementById("generate-button"); +let validateButton = document.getElementById("validate-button"); +let cleanupButton = document.getElementById("cleanup-button"); + +let isGenerateData = true; +let txnId = 1; + +async function createTransactionCards() { + let max = 20; + let startDate = new Date(2020, 1, 1).getTime(); + + while (rawTxnContainer.childElementCount <= max && isGenerateData) { + if (rawTxnContainer.childElementCount > 2) { + let randomWait = Math.floor(Math.random() * 1000 + 500); + await wait(randomWait); + } + let txnCard = document.createElement("div"); + txnCard.classList.add("card"); + txnCard.setAttribute("id", `txn${txnId}`); + let txnContainer = document.createElement("div"); + txnContainer.classList.add("card-container"); + let index = Math.floor(Math.random() * transactionTypes.length); + let currTxn = transactionTypes[index]; + + let fullCurrDate = addDays(startDate, Math.floor(Math.random() * 20)).toISOString(); + let currDate = fullCurrDate.split('T')[0]; + let currAmount = Math.round(Math.random() * 20000) / 100; + + let randDescVal = Math.random(); + let rawDescription = currTxn.description; + if (randDescVal < 0.3) { + rawDescription = `${currTxn.description} ${Math.floor(Math.random() * 90000) + 10000}`; + } else if (randDescVal < 0.5) { + rawDescription = `${(Math.random() + 1).toString(36).substring(6)} ${currTxn.description}`; + } + let rawTxnText = `{"date": "${fullCurrDate}", "desc": "${rawDescription}", "amount": "${String(currAmount)}"}\n`; + + let date = document.createElement("p"); + date.classList.add("date-text", "card-text"); + date.innerText = currDate; + let description = document.createElement("h4"); + description.classList.add("description-text", "card-text"); + description.innerText = Math.random() < 0.1 ? rawDescription : currTxn.description; + let category = document.createElement("p"); + category.classList.add("category-text", "card-text"); + category.innerText = Math.random() < 0.1 ? "" : currTxn.category; + let amount = document.createElement("p"); + amount.classList.add("amount-text", "card-text"); + amount.innerText = `$${String(currAmount)}`; + + let rawTxnEntry = document.createElement("code"); + rawTxnEntry.innerText = rawTxnText; + rawTxnContainer.append(rawTxnEntry); + rawTxnContainer.scrollTop = rawTxnContainer.scrollHeight; + + txnContainer.append(date, description, category, amount); + txnCard.append(txnContainer); + allTransactionCardContainer.append(txnCard); + allTransactionCardContainer.scrollTop = allTransactionCardContainer.scrollHeight; + startDate = currDate; + txnId += 1; + } +} + +async function validateTransactions() { + // foreach record generated, go one by one through each and validate with transition + isGenerateData = false; + await wait(1000); + if (validationContainer.style.visibility === "hidden") { + validationContainer.style.visibility = "visible"; + } + let txnCards = Array.from(allTransactionCardContainer.children).reverse(); + let currentValidations = Array.from(validationContainer.children); + for (const txnCard of txnCards) { + txnCard.style.backgroundColor = ""; + if (txnCard.childElementCount > 1) { + txnCard.removeChild(txnCard.lastChild); + } + } + + for (const txnCard of txnCards) { + await wait(1000); + let txnDetails = txnCard.firstElementChild; + + let validationResult = true; + let failedSummary = document.createElement("ol"); + failedSummary.style.display = "none"; + let failedSummaryText = document.createElement("a"); + failedSummaryText.innerText = "Reason >"; + failedSummaryText.addEventListener("click", function () { + if (failedSummary.style.display === "none") { + failedSummary.style.display = "block"; + } else { + failedSummary.style.display = "none"; + } + }); + + currentValidations.forEach(validation => { + let field = validation.getAttribute("field"); + let fieldValue = txnDetails.getElementsByClassName(`${field}-text`).item(0).innerText; + let validationType = validation.getAttribute("validationType"); + + if (validationType === "isNullable") { + let nullCheck = validation.getElementsByTagName("select").item(0).value; + if (nullCheck === "Not Null") { + let res = fieldValue !== ""; + validationResult &= res; + if (!res) failedSummary.append(listOption(`${field} null`)); + } else { + let res = fieldValue === ""; + validationResult &= res; + if (!res) failedSummary.append(listOption(`${field} not null`)); + } + } else if (validationType === "In") { + let possibleValues = validation.getElementsByTagName("input").item(0).value.split(",").map(x => x.trim()); + let res = possibleValues.includes(fieldValue); + validationResult &= res; + if (!res) failedSummary.append(listOption(`${field} not in ${validation.getElementsByTagName("input").item(0).value}`)); + } else if (validationType === "Matches") { + let res = new RegExp(validation.getElementsByTagName("input").item(0).value).test(fieldValue); + validationResult &= res; + if (!res) failedSummary.append(listOption(`${field} not matches ${validation.getElementsByTagName("input").item(0).value}`)); + } else if (validationType === "Less Than") { + let res = Number(fieldValue.substring(1)) < Number(validation.getElementsByTagName("input").item(0).value); + validationResult &= res; + if (!res) failedSummary.append(listOption(`${field} not less than ${validation.getElementsByTagName("input").item(0).value}`)); + } + }); + txnCard.style.backgroundColor = validationResult ? "#5cb85c" : "#d9534f"; + if (failedSummary.childElementCount > 0) { + failedSummaryText.append(failedSummary); + txnCard.append(failedSummaryText); + } + } +} + +function createValidationRules() { + validationContainer.style.visibility = "hidden"; + // have a list of 4 validations rules that users could alter + let validationRules = [ + {"field": "category", "validation": {"type": "select", "options": ["Not Null", "Null"]}}, + { + "field": "category", + "validation": {"type": "text", "title": "In", "default": "Financial,Food,Travel,Transport,Technology"} + }, + {"field": "description", "validation": {"type": "text", "title": "Matches", "default": "^[A-Z][a-z]+$"}}, + {"field": "amount", "validation": {"type": "number", "title": "Less Than", "default": "175"}}, + ]; + + validationRules.forEach(validationRule => { + let validationRuleContainer = document.createElement("div"); + validationRuleContainer.classList.add("validation-rule-container"); + + let validationField = document.createElement("code"); + validationField.innerText = validationRule.field; + validationRuleContainer.setAttribute("field", validationRule.field); + + if (validationRule.validation.type === "select") { + let validationSelect = document.createElement("md-outlined-select"); + validationRule.validation.options.forEach(opt => { + let option = document.createElement("md-select-option"); + option.value = opt; + option.innerText = opt; + validationSelect.append(option); + }); + validationField.style.paddingRight = "3px"; + validationRuleContainer.setAttribute("validationType", "isNullable"); + validationRuleContainer.append(validationField, validationSelect); + } else if (validationRule.validation.type === "text" || validationRule.validation.type === "number") { + let validationTitle = document.createElement("p"); + validationTitle.innerHTML = validationField.outerHTML + ` ${validationRule.validation.title}: `; + validationRuleContainer.setAttribute("validationType", validationRule.validation.title); + + let textBox = document.createElement("input"); + textBox.classList.add("md-input"); + textBox.type = validationRule.validation.type; + textBox.value = validationRule.validation.default; + textBox.innerText = validationRule.validation.default; + textBox.style.marginLeft = "3px"; + + validationRuleContainer.append(validationTitle, textBox); + } + + validationContainer.append(validationRuleContainer); + }); +} + +async function cleanupTransactions() { + // go through each record and remove it + isGenerateData = false; + await wait(1000); + let txnCards = Array.from(allTransactionCardContainer.children).reverse(); + + for (const txnCard of txnCards) { + await wait(500); + allTransactionCardContainer.removeChild(txnCard); + rawTxnContainer.removeChild(rawTxnContainer.lastChild); + } +} + +function tableData(value) { + let element = document.createElement("td"); + element.innerText = value; + return element; +} + +function getNextColour(index) { + // change hue from 0 to 360 by steps of 31, saturation=45%, lightness=75% + let hue = index * 39 % 360; + let saturation = 30; + let lightness = 85; + return `hsl(${hue} ${saturation}% ${lightness}%)`; +} + +function addDays(date, days) { + var result = new Date(date); + result.setDate(result.getDate() + days); + return result; +} + +function listOption(text) { + let option = document.createElement("li"); + option.innerText = text; + return option; +} + +export const wait = function (ms = 1500) { + return new Promise(resolve => { + setTimeout(resolve, ms); + }); +}; + +let transactionTypes = [ + {"description": "ATM Withdrawal", "category": "Financial", "logo": ""}, + {"description": "Salary", "category": "Financial", "logo": ""}, + {"description": "7-Eleven", "category": "Food", "logo": ""}, + {"description": "Costco", "category": "Food", "logo": ""}, + {"description": "McDonald's", "category": "Food", "logo": ""}, + {"description": "Sushi Place", "category": "Food", "logo": ""}, + {"description": "Subway", "category": "Food", "logo": ""}, + {"description": "Bus Fare", "category": "Transport", "logo": ""}, + {"description": "Uber", "category": "Transport", "logo": ""}, + {"description": "Gucci", "category": "Clothes", "logo": ""}, + {"description": "H&M", "category": "Clothes", "logo": ""}, + {"description": "Agoda", "category": "Travel", "logo": ""}, + {"description": "Hilton Hotels", "category": "Travel", "logo": ""}, + {"description": "Qantas", "category": "Travel", "logo": ""}, + {"description": "Amazon", "category": "Technology", "logo": ""}, + {"description": "Google", "category": "Technology", "logo": ""}, + {"description": "Microsoft", "category": "Technology", "logo": ""}, + {"description": "Steam", "category": "Games", "logo": ""}, +]; + +generateButton.addEventListener("click", async function () { + isGenerateData = true; + await createTransactionCards(); +}); +validateButton.addEventListener("click", await validateTransactions); +cleanupButton.addEventListener("click", await cleanupTransactions); + +createValidationRules(); +await createTransactionCards(); +// await createFinancialAccountAndTransactions(); diff --git a/sample/demo/main.css b/sample/demo/main.css new file mode 100644 index 00000000..a0faa0a1 --- /dev/null +++ b/sample/demo/main.css @@ -0,0 +1,129 @@ +table { + min-width: 350px; +} + +table, td { + border-collapse: collapse; + border: 1px solid #000; +} + +thead { + display: table; /* to take the same width as tr */ + width: calc(100% - 17px); /* - 17px because of the scrollbar width */ +} + +tbody { + display: block; /* to enable vertical scrolling */ + max-height: 200px; /* e.g. */ + overflow-y: scroll; /* keeps the scrollbar even if it doesn't need it; display purpose */ +} + +th, td { + width: 33.33%; /* to enable "word-break: break-all" */ + padding: 5px; +} + +tr { + display: table; /* display purpose; th's border */ + width: 100%; + box-sizing: border-box; /* because of the border (Chrome needs this line, but not FF) */ +} + +td { + border-bottom: none; + border-left: none; +} + +tr { + opacity: 0; + animation-name: fadeIn; + animation-duration: 1.5s; + animation-iteration-count: 1; + animation-fill-mode: forwards; +} + +@keyframes fadeIn { + from { + opacity: 0; + } + + to { + opacity: 1; + } +} + +code { + margin-block-start: 1em; + margin-block-end: 1em; +} + +.all-card-container { + width: 350px; + max-height: 200px; + overflow-y: scroll; +} + +.raw-transaction-container { + width: 450px; + max-height: 200px; + overflow-y: scroll; +} + +.validation-rule-container { + display: flex; + align-items: center; +} + +.card { + box-shadow: 0 4px 8px 0 rgba(0, 0, 0, 0.2); + transition: 0.3s; + border-radius: 5px; + margin: 2px; +} + +.card:hover { + box-shadow: 0 8px 16px 0 rgba(0, 0, 0, 0.2); +} + +.card-container { + display: flex; + padding: 2px 16px; + + opacity: 0; + animation-name: fadeIn; + animation-duration: 1.5s; + animation-iteration-count: 1; + animation-fill-mode: forwards; +} + +.description-text { + width: 50%; + padding-left: 3px; +} + +.category-text { + width: 30%; + font-size: small; +} + +.amount-text { + width: 20%; + text-align-last: right; +} + +.card-text { + align-content: center; +} + +.card-image { + border-radius: 5px 5px 0 0; +} + +.scenario-container { + display: inline-flex; +} + +.table-container { + width: 50%; + padding: 5px; +} \ No newline at end of file diff --git a/sample/report/html/data-sources.html b/sample/report/html/data-sources.html new file mode 100644 index 00000000..30eb8460 --- /dev/null +++ b/sample/report/html/data-sources.html @@ -0,0 +1,178 @@ + + + + Data Source Details - Data Caterer + + + +
+ + + Data Caterer + +

Data Sources

+ + + + + + + + + + + + + + + + + + + + + + + + + +
NameNum RecordsSuccessFormatOptions
+ my_json + + 2000 + + ✅ + + json + + + + + + + + + + + +
+ + saveMode + + + overwrite +
+ + format + + + json +
+ + path + + + /tmp/data/json +
+
+ my_csv + + 1000 + + ✅ + + json + + + + + + + + + + + +
+ + saveMode + + + overwrite +
+ + format + + + json +
+ + path + + + /tmp/data/csv +
+
+ + \ No newline at end of file diff --git a/sample/report/html/data_catering_transparent.svg b/sample/report/html/data_catering_transparent.svg new file mode 100644 index 00000000..cc6a8d60 --- /dev/null +++ b/sample/report/html/data_catering_transparent.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/sample/report/html/index.html b/sample/report/html/index.html new file mode 100644 index 00000000..a100d6fd --- /dev/null +++ b/sample/report/html/index.html @@ -0,0 +1,275 @@ + + + + Data Caterer + + +
+ + + Data Caterer + +
+

Data Caterer Summary

+

Flags

+ + + + + + + + + + + + + + + + + + + + + + +
Generate MetadataGenerate DataRecord TrackingDelete DataCalculate Generated Records MetadataValidate DataUnique Check
+ ❌ + + ✅ + + ❌ + + ❌ + + ✅ + + ✅ + + ❌ +

Plan

+ + + + + + + + + + + + + + + + + + + + + + +
Plan NameNum RecordsSuccessTasksStepsData SourcesForeign Keys
+ Default plan + + 3000 + + ✅ + + 2 + + 2 + + 2 + + +

Tasks

+ + + + + + + + + + + + + + + + + + + + + +
NameNum RecordsSuccessSteps
+ + 455595ef-9b9c-4965-b721-51e13036119b + + + 2000 + + ✅ + + + fec4ad7f-4f70-4ec0-971d-2a15b0e1619d + +
+ + f7704634-c247-4a80-ae05-b5ac8853363c + + + 1000 + + ✅ + + + 89ba1628-281d-4503-bcc5-6f393db4b4cb + +

Validations

+ + + + + + + + + + + + + + + + + + + + + +
NameData SourcesDescriptionSuccess
+ + default_validation + + + + my_json + + + Validation of data sources after generating data + +
+
+
+ 1/2 (50.00%) +
+
+ + default_validation + + + + my_csv + + + Validation of data sources after generating data + +
+
+
+ 2/2 (100.00%) +
+

Output Rows Per Second

+ Generated at + 2023-10-13T09:14:15.727+08:00 +
+
+ + \ No newline at end of file diff --git a/sample/report/html/main.css b/sample/report/html/main.css new file mode 100644 index 00000000..e07128fc --- /dev/null +++ b/sample/report/html/main.css @@ -0,0 +1,173 @@ +.box-iframe { + float: left; + margin-right: 10px; +} + +body { + margin: 0; +} + +.top-banner { + height: fit-content; + background-color: #ff6e42; + padding: 0 .2rem; + display: flex; +} + +.top-banner span { + color: #f2f2f2; + font-size: 17px; + padding: 5px 6px; + display: flex; + align-items: center; +} + +.logo { + padding: 5px; + height: 45px; + width: auto; + display: flex; + align-items: center; + justify-content: center; +} + +.logo:hover { + background-color: #ff9100; + color: black; +} + +.top-banner img { + height: 35px; + width: auto; + display: flex; + justify-content: center; + vertical-align: middle; +} + +.topnav { + overflow: hidden; + background-color: #ff6e42; +} + +.topnav a { + float: left; + color: #f2f2f2; + text-align: center; + padding: 8px 10px; + text-decoration: none; + font-size: 17px; +} + +.topnav a:hover { + background-color: #ff9100; + color: black; +} + +.topnav a.active { + color: black; +} + +table { + overflow: hidden; + transition: max-height 0.2s ease-out; +} + +table.codegrid { + font-family: monospace; + font-size: 12px; + width: auto !important; +} + +table.statementlist { + width: auto !important; + font-size: 13px; +} + +table.codegrid td { + padding: 0 !important; + border: 0 !important +} + +table td.linenumber { + width: 40px !important; +} + +td { + white-space: normal +} + +.table thead th { + position: sticky; + top: 0; + z-index: 1; +} + +table, tr, td, th { + border-collapse: collapse; +} + +.table-collapsible { + max-height: 0; + overflow: hidden; + transition: max-height 0.2s ease-out; +} + +.collapsible { + background-color: lightgray; + color: black; + cursor: pointer; + width: 100%; + border: none; + text-align: left; + outline: none; +} + +.collapsible:after { + content: "\02795"; /* Unicode character for "plus" sign (+) */ + color: white; + float: right; +} + +.active:after { + content: "\2796"; /* Unicode character for "minus" sign (-) */ +} + +.outer-container { + display: flex; + flex-direction: column; + height: 100vh; +} + +.top-container { + height: 50%; + overflow: auto; + resize: vertical; +} + +.bottom-container { + flex: 1; + min-height: 0; + height: 50%; + overflow: auto; + resize: vertical; +} + +.slider { + text-align: center; + background-color: #dee2e6; + cursor: row-resize; + user-select: none; +} + +.selected-row { + background-color: #ff6e42 !important; +} + +.progress { + white-space: normal; + background-color: #d9534f; +} + +.progress-bar { + color: black; +} diff --git a/sample/report/html/steps.html b/sample/report/html/steps.html new file mode 100644 index 00000000..82488e84 --- /dev/null +++ b/sample/report/html/steps.html @@ -0,0 +1,1233 @@ + + + + Step Details - Data Caterer + + + +
+ + + Data Caterer + +
+
+

Steps

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameNum RecordsSuccessTypeEnabledOptionsCountFields
+ fec4ad7f-4f70-4ec0-971d-2a15b0e1619d + + 2000 + + ✅ + + json + + ✅ + + + + + + + + + + + +
+ + saveMode + + + overwrite +
+ + format + + + json +
+ + path + + + /tmp/data/json +
+
+ + + + + + + + + + +
+ + countType + + + per-column-count +
+ + columns + + + account_id,name +
+ + numRecords + + + 2000 +
+
+ +
+
+

Field Details: + fec4ad7f-4f70-4ec0-971d-2a15b0e1619d +

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeNullableGenerator TypeGenerated Records Metadata Comparison
+ account_id + + string + + ✅ + + regex + +
+ + + + + + + + + + + + + + + + + + + + +
+ Metadata Field + + Original Value + + Generated Value +
+ + regex + + + ACC[0-9]{8} + + ACC[0-9]{8} +
+ + count + + + + + 2000 +
+ + distinctCount + + + + + 1012 +
+ + maxLen + + + + + 11 +
+ + avgLen + + + + + 11 +
+ + nullCount + + + + + 0 +
+
+
+ name + + string + + ✅ + + random + +
+ + + + + + + + + + + + + + + + + + + + + + + + +
+ Metadata Field + + Original Value + + Generated Value +
+ + count + + + + + 2000 +
+ + distinctCount + + + + + 950 +
+ + label + + + + + name +
+ + expression + + + #{Name.name} + + #{Name.name} +
+ + maxLen + + + + + 26 +
+ + avgLen + + + + + 15 +
+ + isPII + + + + + true +
+ + nullCount + + + + + 0 +
+
+
+ amount + + double + + ✅ + + random + +
+ + + + + + + + + + + + + + + + + + + + + + +
+ Metadata Field + + Original Value + + Generated Value +
+ + count + + + + + 2000 +
+ + distinctCount + + + + + 1966 +
+ + min + + + + + 0.00824904289636108 +
+ + max + + + 10 + + 9.997637072314093 +
+ + maxLen + + + + + 8 +
+ + avgLen + + + + + 8 +
+ + nullCount + + + + + 0 +
+
+
+
+
+
+ 89ba1628-281d-4503-bcc5-6f393db4b4cb + + 1000 + + ✅ + + json + + ✅ + + + + + + + + + + + +
+ + saveMode + + + overwrite +
+ + format + + + json +
+ + path + + + /tmp/data/csv +
+
+ + + + + + + + +
+ + countType + + + basic-count +
+ + numRecords + + + 1000 +
+
+ +
+
+

Field Details: + 89ba1628-281d-4503-bcc5-6f393db4b4cb +

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeNullableGenerator TypeGenerated Records Metadata Comparison
+ account_number + + string + + ✅ + + regex + +
+ + + + + + + + + + + + + + + + + + + + +
+ Metadata Field + + Original Value + + Generated Value +
+ + regex + + + [0-9]{8} + + [0-9]{8} +
+ + count + + + + + 1000 +
+ + distinctCount + + + + + 938 +
+ + maxLen + + + + + 8 +
+ + avgLen + + + + + 8 +
+ + nullCount + + + + + 0 +
+
+
+ name + + string + + ✅ + + random + +
+ + + + + + + + + + + + + + + + + + + + + + + + +
+ Metadata Field + + Original Value + + Generated Value +
+ + count + + + + + 1000 +
+ + distinctCount + + + + + 1000 +
+ + label + + + + + name +
+ + expression + + + #{Name.name} + + #{Name.name} +
+ + maxLen + + + + + 24 +
+ + avgLen + + + + + 15 +
+ + isPII + + + + + true +
+ + nullCount + + + + + 0 +
+
+
+ amount + + double + + ✅ + + random + +
+ + + + + + + + + + + + + + + + + + + + + + +
+ Metadata Field + + Original Value + + Generated Value +
+ + count + + + + + 1000 +
+ + distinctCount + + + + + 1000 +
+ + min + + + + + 0.004001642227183799 +
+ + max + + + 10 + + 9.98979849847976 +
+ + maxLen + + + + + 8 +
+ + avgLen + + + + + 8 +
+ + nullCount + + + + + 0 +
+
+
+
+
+
+
+
...
+
+
+

Field Details: + fec4ad7f-4f70-4ec0-971d-2a15b0e1619d +

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameTypeNullableGenerator TypeGenerated Records Metadata Comparison
+ account_id + + string + + ✅ + + regex + +
+ + + + + + + + + + + + + + + + + + + + +
+ Metadata Field + + Original Value + + Generated Value +
+ + regex + + + ACC[0-9]{8} + + ACC[0-9]{8} +
+ + count + + + + + 2000 +
+ + distinctCount + + + + + 1012 +
+ + maxLen + + + + + 11 +
+ + avgLen + + + + + 11 +
+ + nullCount + + + + + 0 +
+
+
+ name + + string + + ✅ + + random + +
+ + + + + + + + + + + + + + + + + + + + + + + + +
+ Metadata Field + + Original Value + + Generated Value +
+ + count + + + + + 2000 +
+ + distinctCount + + + + + 950 +
+ + label + + + + + name +
+ + expression + + + #{Name.name} + + #{Name.name} +
+ + maxLen + + + + + 26 +
+ + avgLen + + + + + 15 +
+ + isPII + + + + + true +
+ + nullCount + + + + + 0 +
+
+
+ amount + + double + + ✅ + + random + +
+ + + + + + + + + + + + + + + + + + + + + + +
+ Metadata Field + + Original Value + + Generated Value +
+ + count + + + + + 2000 +
+ + distinctCount + + + + + 1966 +
+ + min + + + + + 0.00824904289636108 +
+ + max + + + 10 + + 9.997637072314093 +
+ + maxLen + + + + + 8 +
+ + avgLen + + + + + 8 +
+ + nullCount + + + + + 0 +
+
+
+
+
+
+ + \ No newline at end of file diff --git a/sample/report/html/tasks.html b/sample/report/html/tasks.html new file mode 100644 index 00000000..6e29b228 --- /dev/null +++ b/sample/report/html/tasks.html @@ -0,0 +1,105 @@ + + + + Task Details - Data Caterer + + + +
+ + + Data Caterer + +

Tasks

+ + + + + + + + + + + + + + + + +
NameSteps
+ 455595ef-9b9c-4965-b721-51e13036119b + + + fec4ad7f-4f70-4ec0-971d-2a15b0e1619d + +
+ f7704634-c247-4a80-ae05-b5ac8853363c + + + 89ba1628-281d-4503-bcc5-6f393db4b4cb + +
+ + \ No newline at end of file diff --git a/sample/report/html/validations.html b/sample/report/html/validations.html new file mode 100644 index 00000000..1b50c55e --- /dev/null +++ b/sample/report/html/validations.html @@ -0,0 +1,410 @@ + + + + Validations - Data Caterer + + + +
+ + + Data Caterer + +

Validations

+ + + + + + + + + + + + + + + + + + + + + +
NameData SourcesDescriptionSuccess
+ + default_validation + + + + my_json + + + Validation of data sources after generating data + +
+
+
+ 1/2 (50.00%) +
+
+ + default_validation + + + + my_csv + + + Validation of data sources after generating data + +
+
+
+ 2/2 (100.00%) +
+

Details

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
DescriptionData SourceOptionsSuccessWithin Error ThresholdValidationError Sample
+ Validate + + + my_json + + + + +
+
+
+ 2000/2000 (100.00%) +
+
+ ✅ + + + + + + + + + + + + + + + +
+ + expr + + + max(amount) < 100 +
+ + groupByColumns + + + account_id,name +
+ + aggregationColumn + + + amount +
+ + aggregationType + + + max +
+ + errorThreshold + + + 0.0 +
+
+ +
+ Validate + + + my_json + + + + +
+
+
+ 1000/2000 (50.00%) +
+
+ ❌ + + + + + + + + + + + + + + + +
+ + expr + + + count == 1 +
+ + groupByColumns + + + account_id,name +
+ + aggregationColumn + + + unique +
+ + aggregationType + + + count +
+ + errorThreshold + + + 0.0 +
+
+ + + + + + + + + + + + + + +
+ {"account_id":"ACC67262091","name":"Emiko Abernathy III","count":2} +
+ {"account_id":"ACC98264190","name":"Shirleen Weimann","count":2} +
+ {"account_id":"ACC70737722","name":"Shanelle Keebler","count":2} +
+ {"account_id":"ACC28941814","name":"Dr. Violette Green","count":2} +
+ {"account_id":"ACC42462487","name":"Marquetta Hayes","count":2} +
+
+ account_number is a primary key + + + my_csv + + + + +
+
+
+ 1000/1000 (100.00%) +
+
+ ✅ + + + + + + + + + +
+ + expr + + + ISNOTNULL(account_number) +
+ + errorThreshold + + + 0.0 +
+
+ +
+ Some names follow a different pattern + + + my_csv + + + + +
+
+
+ 985/1000 (98.50%) +
+
+ ✅ + + + + + + + + + +
+ + expr + + + REGEXP(name, '[A-Z][a-z]+ [A-Z][a-z]+') +
+ + errorThreshold + + + 0.3 +
+
+ +
+ + \ No newline at end of file diff --git a/sample/report/report_screenshot.png b/sample/report/report_screenshot.png new file mode 100644 index 00000000..65d2bc09 Binary files /dev/null and b/sample/report/report_screenshot.png differ diff --git a/sample/ui/configuration-data.js b/sample/ui/configuration-data.js new file mode 100644 index 00000000..e9b756cb --- /dev/null +++ b/sample/ui/configuration-data.js @@ -0,0 +1,1291 @@ +import {formatDate} from "./shared.js"; + + +const baseDataTypes = ["string", "integer", "long", "short", "decimal", "double", "float", "date", "timestamp", "binary", "array", "struct"]; +export const dataTypeOptionsMap = new Map(); +const defaultDataTypeOptions = { + enableEdgeCases: { + displayName: "Enable Edge Cases", + default: "false", + type: "text", + choice: ["true", "false"], + help: "Enable generating edge case values for data type." + }, + edgeCaseProbability: { + displayName: "Edge Case Probability", + default: 0.0, + type: "number", + min: 0.0, + max: 1.0, + step: 0.001, + help: "Probability of generating edge case values. Range from 0-1.", + required: "" + }, + isUnique: { + displayName: "Unique", + default: "false", + type: "text", + choice: ["true", "false"], + help: "Generate only unique values." + }, + seed: { + displayName: "Seed", + default: -1, + type: "number", + min: -1, + max: 9223372036854775807, + help: "Seed for generating consistent random values.", + required: "" + }, + sql: { + displayName: "SQL", + default: "", + type: "text", + help: "Spark SQL expression for generating data.", + required: "" + }, + oneOf: { + displayName: "One Of", + default: [], + type: "text", + help: "Generated values will be one of the defined values. Comma separated.", + required: "" + }, + omit: { + displayName: "Omit", + default: "false", + type: "text", + choice: ["true", "false"], + help: "Exclude the field from the final output. Can be used for intermediate data generation." + }, +}; + +function getNumberOptions(min, max) { + let minMaxOpt = min && max ? {min: min, max: max} : {}; + return { + min: { + displayName: "Min", + default: 0, + type: "number", ...minMaxOpt, + help: "Minimum generated value.", + required: "" + }, + max: { + displayName: "Max", + default: 1000, + type: "number", ...minMaxOpt, + help: "Maximum generated value.", + required: "" + }, + stddev: { + displayName: "Standard Deviation", + default: 1.0, + type: "number", + min: 0.0, + max: 100000000.0, + help: "Standard deviation of generated values.", + required: "" + }, + mean: { + displayName: "Mean", + default: 500, + type: "number", ...minMaxOpt, + help: "Mean of generated values.", + required: "" + } + }; +} + +dataTypeOptionsMap.set("string", { + ...defaultDataTypeOptions, + minLen: { + displayName: "Min Length", + default: 1, + type: "number", + min: 0, + max: 1000, + help: "Minimum length of generated values.", + required: "" + }, + maxLen: { + displayName: "Max Length", + default: 10, + type: "number", + min: 0, + max: 1000, + help: "Maximum length of generated values.", + required: "" + }, + expression: { + displayName: "Faker Expression", + default: "", + type: "text", + help: "Faker expression to generate values.", + required: "" + }, + enableNull: { + displayName: "Enable Null", + default: "false", + type: "text", + choice: ["true", "false"], + help: "Enable generation of null values." + }, + nullProbability: { + displayName: "Null Probability", + default: 0.0, + type: "number", + min: 0.0, + max: 1.0, + step: 0.001, + help: "Probability of generating null values. Range from 0-1.", + required: "" + }, + regex: {displayName: "Regex", default: "", type: "text", help: "Regex for generating values.", required: ""} +}); +dataTypeOptionsMap.set("integer", {...defaultDataTypeOptions, ...getNumberOptions(-2147483648, 2147483647)}); +dataTypeOptionsMap.set("long", {...defaultDataTypeOptions, ...getNumberOptions(-9223372036854775808, 9223372036854775807)}); +dataTypeOptionsMap.set("short", {...defaultDataTypeOptions, ...getNumberOptions(-32768, 32767)}); +dataTypeOptionsMap.set("decimal", { + ...defaultDataTypeOptions, + ...getNumberOptions(), + numericPrecision: { + displayName: "Precision", + default: 10, + type: "number", + min: 0, + max: 2147483647, + help: "Precision for generated decimal values." + }, + numericScale: { + displayName: "Scale", + default: 0, + type: "number", + min: 0, + max: 2147483647, + help: "Scale for generated decimal values." + } +}); +dataTypeOptionsMap.set("double", {...defaultDataTypeOptions, ...getNumberOptions()}); +dataTypeOptionsMap.set("float", {...defaultDataTypeOptions, ...getNumberOptions()}); +dataTypeOptionsMap.set("date", { + ...defaultDataTypeOptions, + min: { + displayName: "Min", + default: formatDate(true), + type: "date", + min: "0001-01-01", + max: "9999-12-31", + help: "Minimum date of generated values. Expected format 'yyyy-MM-dd'.", + required: "" + }, + max: { + displayName: "Max", + default: formatDate(false), + type: "date", + min: "0001-01-01", + max: "9999-12-31", + help: "Maximum date of generated values. Expected format 'yyyy-MM-dd'.", + required: "" + } +}); +dataTypeOptionsMap.set("timestamp", { + ...defaultDataTypeOptions, + min: { + displayName: "Min", + default: formatDate(true, true), + type: "datetime-local", + min: "0001-01-01 00:00:00", + max: "9999-12-31 23:59:59", + help: "Minimum timestamp of generated values. Expected format 'yyyy-MM-dd HH:mm:ss'.", + required: "" + }, + max: { + displayName: "Max", + default: formatDate(false, true), + type: "datetime-local", + min: "0001-01-01 00:00:00", + max: "9999-12-31 23:59:59", + help: "Maximum timestamp of generated values. Expected format 'yyyy-MM-dd HH:mm:ss'.", + required: "" + } +}); +dataTypeOptionsMap.set("binary", { + ...defaultDataTypeOptions, + minLen: { + displayName: "Min Length", + default: 1, + type: "number", + min: 0, + max: 2147483647, + help: "Minimum length of generated values.", + required: "" + }, + maxLen: { + displayName: "Max Length", + default: 20, + type: "number", + min: 0, + max: 2147483647, + help: "Maximum length of generated values.", + required: "" + }, +}); +dataTypeOptionsMap.set("array", { + ...defaultDataTypeOptions, + arrayMinLen: { + displayName: "Min Length", + default: 0, + type: "number", + min: 0, + max: 2147483647, + help: "Minimum generated array length.", + required: "" + }, + arrayMaxLen: { + displayName: "Max Length", + default: 5, + type: "number", + min: 0, + max: 2147483647, + help: "Maximum generated array length.", + required: "" + }, + arrayType: { + displayName: "Type", + default: "string", + type: "text", + choice: baseDataTypes, + help: "Data type of array values.", + required: "" + } +}); +dataTypeOptionsMap.set("struct", {...defaultDataTypeOptions, addBlock: {type: "field"}}); + +export const validationTypeDisplayNameMap = new Map(); +validationTypeDisplayNameMap.set("column", "Field"); +validationTypeDisplayNameMap.set("groupBy", "Group By/Aggregate"); +validationTypeDisplayNameMap.set("upstream", "Upstream"); +validationTypeDisplayNameMap.set("columnNames", "Field Names"); +export const validationTypeOptionsMap = new Map(); +const defaultValidationOptions = { + description: { + displayName: "Description", + default: "", + type: "text", + help: "Description of validation. Used in report." + }, + errorThreshold: { + displayName: "Error Threshold", + default: 0.0, + type: "number", + min: 0.0, + help: "Number or percentage (0.0 to 1.0) of errors before marking validation as failed." + }, +} +validationTypeOptionsMap.set("column", { + ...defaultValidationOptions, + defaultChildField: {displayName: "Field", default: "", type: "text", required: "", help: "Field to validate."}, + equal: { + displayName: "Equal", + default: "", + type: "text", + group: {type: "checkbox", innerText: "Not"}, + help: "Equal to value. Select 'Not' for not equals." + }, + null: {displayName: "Null", default: "", type: "text", disabled: "", help: "Values are null."}, + notNull: {displayName: "Not Null", default: "", type: "text", disabled: "", help: "Values are not null."}, + contains: { + displayName: "Contains", + default: "", + type: "text", + group: {type: "checkbox", innerText: "Not"}, + help: "Contains value. Select 'Not' for not contains.", + required: "" + }, + unique: {displayName: "Unique", default: "", type: "text", disabled: "", help: "Values are unique."}, + lessThan: { + displayName: "Less Than", + default: "", + type: "text", + group: {type: "checkbox", innerText: "Equal"}, + help: "Less than value. Select 'Equal' for less than or equal to.", + required: "" + }, + greaterThan: { + displayName: "Greater Than", + default: "", + type: "text", + group: {type: "checkbox", innerText: "Equal"}, + help: "Greater than value. Select 'Equal' for greater than or equal to.", + required: "" + }, + between: { + displayName: "Between", + default: "", + type: "min-max", + group: {type: "checkbox", innerText: "Not"}, + help: "Between values. Select 'Not' for not between." + }, + in: { + displayName: "In", + default: "", + type: "text", + group: {type: "checkbox", innerText: "Not"}, + help: "In set of values. Select 'Not' for not in set." + }, + matches: { + displayName: "Matches", + default: "", + type: "text", + group: {type: "checkbox", innerText: "Not"}, + help: "Matches regex. Select 'Not' for not matches regex.", + required: "" + }, + startsWith: { + displayName: "Starts With", + default: "", + type: "text", + group: {type: "checkbox", innerText: "Not"}, + help: "Starts with value. Select 'Not' for not starts with.", + required: "" + }, + endsWith: { + displayName: "Ends With", + default: "", + type: "text", + group: {type: "checkbox", innerText: "Not"}, + help: "Ends with value. Select 'Not' for not ends with.", + required: "" + }, + size: { + displayName: "Size", + default: 0, + type: "number", + group: {type: "checkbox", innerText: "Not"}, + help: "Equal to size. Select 'Not' for not equal to size.", + required: "" + }, + lessThanSize: { + displayName: "Less Than Size", + default: 0, + type: "number", + group: {type: "checkbox", innerText: "Equal"}, + help: "Less than size. Select 'Equal' for less than or equal to size.", + required: "" + }, + greaterThanSize: { + displayName: "Greater Than Size", + default: 0, + type: "number", + group: {type: "checkbox", innerText: "Equal"}, + help: "Greater than size. Select 'Equal' for greater than or equal to size.", + required: "" + }, + luhnCheck: { + displayName: "Luhn Check", + default: "", + type: "text", + disabled: "", + help: "Values are valid credit card or identification numbers according to Luhn Algorithm.", + required: "" + }, + hasType: { + displayName: "Type", + default: "string", + type: "text", + choice: baseDataTypes, + help: "Values are of data type." + }, + sql: { + displayName: "SQL", + default: "", + type: "text", + help: "Spark SQL statement, returning boolean, for custom validation.", + required: "" + }, +}); +validationTypeOptionsMap.set("groupBy", { + ...defaultValidationOptions, + defaultChildGroupByColumns: { + displayName: "Group By Field(s)", + default: "", + type: "text", + required: "", + help: "Field name(s) to group by. Comma separated." + }, + count: { + displayName: "Count", + default: "", + type: "text", + help: "Field name to count number of groups after group by.", + addBlock: {type: "column"} + }, + sum: { + displayName: "Sum", + default: "", + type: "text", + help: "Field name of values to sum after group by.", + addBlock: {type: "column"}, + required: "" + }, + min: { + displayName: "Min", + default: "", + type: "text", + help: "Field name to find minimum value after group by.", + addBlock: {type: "column"}, + required: "" + }, + max: { + displayName: "Max", + default: "", + type: "text", + help: "Field name to find maximum value after group by.", + addBlock: {type: "column"}, + required: "" + }, + average: { + displayName: "Average", + default: "", + type: "text", + help: "Field name to find average value after group by.", + addBlock: {type: "column"}, + required: "" + }, + standardDeviation: { + displayName: "Standard Deviation", + default: "", + type: "text", + help: "Field name to find standard deviation value after group by.", + addBlock: {type: "column"}, + required: "" + }, +}); +validationTypeOptionsMap.set("upstream", { + ...defaultValidationOptions, + defaultChildUpstreamTaskName: { + displayName: "Upstream Task Name", + default: "", + type: "text", + required: "", + selector: ".task-name-field", + help: "Name of upstream data generation task." + }, + addBlock: {type: "validation"}, + joinColumns: {displayName: "Join Field(s)", default: "", type: "text", help: "Field name(s) to join by.", required: ""}, + joinType: { + displayName: "Join Type", + default: "outer", + type: "text", + choice: ["inner", "outer", "left_outer", "right_outer", "left_semi", "anti", "cross"], + help: "Type of join." + }, + joinExpr: {displayName: "Join Expression", default: "", type: "text", help: "Custom join SQL expression.", required: ""} +}); +validationTypeOptionsMap.set("columnNames", { + ...defaultValidationOptions, + countEqual: {displayName: "Count Equal", default: 0, type: "number", help: "Number of fields has to equal value.", required: ""}, + countBetween: { + displayName: "Count Between", + default: 0, + type: "min-max", + help: "Number of field has to be between min and max value (inclusive).", + required: "" + }, + matchOrder: { + displayName: "Match Order", + default: "", + type: "text", + help: "All field names match particular ordering and is complete. Comma separated.", + required: "" + }, + matchSet: { + displayName: "Match Set", + default: "", + type: "text", + help: "Field names contains set of expected names. Order is not checked. Comma separated.", + required: "" + }, +}); + + +export const configurationOptionsMap = new Map(); +configurationOptionsMap.set("flag", { + "enableCount": { + configName: "enableCount", + displayName: "Count", + default: "true", + type: "text", + choice: ["true", "false"], + help: "Count the number of records generated. Can be disabled to improve performance." + }, + "enableGenerateData": { + configName: "enableGenerateData", + displayName: "Generate Data", + default: "true", + type: "text", + choice: ["true", "false"], + help: "Enable/disable data generation." + }, + "enableFailOnError": { + configName: "enableFailOnError", + displayName: "Fail On Error", + default: "true", + type: "text", + choice: ["true", "false"], + help: "Whilst saving generated data, if there is an error, it will stop any further data from being generated." + }, + "enableUniqueCheck": { + configName: "enableUniqueCheck", + displayName: "Unique Check", + default: "false", + type: "text", + choice: ["true", "false"], + help: "Enable/disable generating unique values for fields marked as unique. Can be disabled to improve performance but not guarantee uniqueness." + }, + "enableSinkMetadata": { + configName: "enableSinkMetadata", + displayName: "Sink Metadata", + default: "false", + type: "text", + choice: ["true", "false"], + help: "Run data profiling for the generated data. Shown in HTML reports if enabled." + }, + "enableSaveReports": { + configName: "enableSaveReports", + displayName: "Save Report", + default: "true", + type: "text", + choice: ["true", "false"], + help: "Enable/disable HTML report summarising data generated, metadata of data generated (if Sink Metadata is enabled) and validation results (if Validation is enabled)." + }, + "enableValidation": { + configName: "enableValidation", + displayName: "Validation", + default: "true", + type: "text", + choice: ["true", "false"], + help: "Run validations as described in plan. Results can be viewed from logs or from HTML report." + }, + "enableAlerts": { + configName: "enableAlerts", + displayName: "Alerts", + default: "true", + type: "text", + choice: ["true", "false"], + help: "Enable/disable alerts being sent when plan execution is finished (can be configured for success/failure)." + }, + "enableGenerateValidations": { + configName: "enableGenerateValidations", + displayName: "Generate Validations", + default: "false", + type: "text", + choice: ["true", "false"], + paid: "true", + help: "Enable/disable automatically generating validations based on the data sources defined." + }, + "enableRecordTracking": { + configName: "enableRecordTracking", + displayName: "Record Tracking", + default: "true", + type: "text", + choice: ["true", "false"], + paid: "true", + help: "Enable/disable tracking of data records generated." + }, + "enableDeleteGeneratedRecords": { + configName: "enableDeleteGeneratedRecords", + displayName: "Delete Generated Records", + default: "false", + type: "text", + choice: ["true", "false"], + paid: "true", + help: "Delete all generated records based off record tracking (if Record Tracking has been set to true whilst generating)." + }, + "enableGeneratePlanAndTasks": { + configName: "enableGeneratePlanAndTasks", + displayName: "Generate Plan And Tasks", + default: "false", + type: "text", + choice: ["true", "false"], + paid: "true", + help: "Enable/disable plan and task automatic generation based off data source connections." + }, +}); +configurationOptionsMap.set("generation", { + "numRecordsPerBatch": { + configName: "numRecordsPerBatch", + displayName: "Records Per Batch", + default: 100000, + type: "number", + min: 0, + help: "Number of records across all data sources to generate per batch.", + required: "" + }, + "numRecordsPerStep": { + configName: "numRecordsPerStep", + displayName: "Records Per Step", + default: -1, + type: "number", + help: "Overrides the count defined in each step with this value if defined (i.e. if set to 1000, for each step, 1000 records will be generated).", + required: "" + }, +}); +configurationOptionsMap.set("validation", { + "numSampleErrorRecords": { + configName: "numSampleErrorRecords", + displayName: "Error Samples", + default: 5, + type: "number", + help: "Number of sample error records to show in HTML report. Useful for debugging.", + required: "" + }, + "enableDeleteRecordTrackingFiles": { + configName: "enableDeleteRecordTrackingFiles", + displayName: "Delete Record Tracking Files", + default: "true", + type: "text", + choice: ["true", "false"], + paid: "true", + help: "Enable/disable to delete record tracking files at end of execution." + }, +}); +configurationOptionsMap.set("metadata", { + "numGeneratedSamples": { + configName: "numGeneratedSamples", + displayName: "Generated Samples", + default: 10, + type: "number", + min: 0, + help: "Number of sample records from generated data to take. Shown in HTML report.", + required: "" + }, + "numRecordsFromDataSource": { + configName: "numRecordsFromDataSource", + displayName: "Records From Data Source", + default: 10000, + type: "number", + paid: "true", + min: 0, + help: "Number of records read in from the data source that could be used for data profiling.", + required: "" + }, + "numRecordsForAnalysis": { + configName: "numRecordsForAnalysis", + displayName: "Records For Analysis", + default: 10000, + type: "number", + paid: "true", + min: 0, + help: "Number of records used for data profiling from the records gathered in Records From Data Source.", + required: "" + }, + "oneOfDistinctCountVsCountThreshold": { + configName: "oneOfDistinctCountVsCountThreshold", + displayName: "One-of Distinct Count vs Count Threshold", + default: 0.2, + type: "number", + paid: "true", + min: 0.0, + max: 1.0, + step: 0.001, + help: "Threshold ratio to determine if a field is of type oneOf (i.e. a field called status that only contains open or closed. Distinct count = 2, total count = 10, ratio = 2 / 10 = 0.2 therefore marked as oneOf).", + required: "" + }, + "oneOfMinCount": { + configName: "oneOfMinCount", + displayName: "One-of Min Count", + default: 1000, + type: "number", + paid: "true", + min: 0, + help: "Minimum number of records required before considering if a field can be of type oneOf.", + required: "" + }, +}); +configurationOptionsMap.set("alert", { + "triggerOn": { + configName: "triggerOn", + displayName: "Trigger On", + default: "all", + type: "text", + choice: ["all", "failure", "success", "generation_failure", "validation_failure", "generation_success", "validation_success"], + help: "Condition for triggering alert." + }, + "slackToken": { + configName: "slackToken", + displayName: "Slack Token", + default: "", + type: "password", + help: "Slack token to connect to Slack. Check here for more details." + }, + "slackChannels": { + configName: "slackChannels", + displayName: "Slack Channels", + default: "", + type: "text", + help: "Define one or more Slack channels to send alerts to. Comma separated." + }, +}); +configurationOptionsMap.set("folder", { + "generatedReportsFolderPath": { + configName: "generatedReportsFolderPath", + displayName: "Generated Reports Folder Path", + default: "/opt/app/report", + type: "text", + help: "Folder path where generated HTML reports will be saved.", + required: "" + }, + "validationFolderPath": { + configName: "validationFolderPath", + displayName: "Validation Folder Path", + default: "/opt/app/validation", + type: "text", + help: "If using YAML validation file(s), folder path that contains all validation files (can have nested directories).", + required: "" + }, + "planFilePath": { + configName: "planFilePath", + displayName: "Plan File Path", + default: "/opt/app/plan/customer-create-plan.yaml", + type: "text", + help: "If using YAML plan file, path to use when generating and/or validating data.", + required: "" + }, + "taskFolderPath": { + configName: "taskFolderPath", + displayName: "Task Folder Path", + default: "/opt/app/task", + type: "text", + help: "If using YAML task file(s), folder path that contains all the task files (can have nested directories).", + required: "" + }, + "generatedPlanAndTasksFolderPath": { + configName: "generatedPlanAndTasksFolderPath", + displayName: "Generated Plan And Tasks Folder Path", + default: "/tmp", + type: "text", + paid: "true", + help: "Folder path where generated plan and task files will be saved.", + required: "" + }, + "recordTrackingFolderPath": { + configName: "recordTrackingFolderPath", + displayName: "Record Tracking Folder Path", + default: "/opt/app/record-tracking", + type: "text", + paid: "true", + help: "Folder path where record tracking files will be saved.", + required: "" + }, + "recordTrackingForValidationFolderPath": { + configName: "recordTrackingForValidationFolderPath", + displayName: "Record Tracking For Validation Folder Path", + default: "/opt/app/record-tracking-validation", + type: "text", + paid: "true", + help: "Folder path where record tracking for validation files will be saved.", + required: "" + }, +}); + +export const reportOptionsMap = new Map(); +export const reportConfigKeys = [["flag", "enableSaveReports"], + ["flag", "enableValidation"], + ["flag", "enableSinkMetadata"], + ["flag", "enableAlerts"], + ["alert", "triggerOn"], + ["metadata", "numGeneratedSamples"], + ["validation", "numSampleErrorRecords"]]; +reportConfigKeys.forEach(key => reportOptionsMap.set(key[1], configurationOptionsMap.get(key[0])[key[1]])); + + +export const dataSourcePropertiesMap = new Map(); +// Data Source +dataSourcePropertiesMap.set("cassandra", { + optGroupLabel: "Data Source", + Name: "Cassandra", + properties: { + url: { + displayName: "URL", + default: "localhost:9042", + type: "text", + help: "Hostname and port to connect to Cassandra.", + required: "" + }, + user: { + displayName: "Username", + default: "cassandra", + type: "text", + help: "Username to connect to Cassandra.", + required: "" + }, + password: { + displayName: "Password", + default: "cassandra", + type: "password", + help: "Password to connect to Cassandra.", + required: "" + }, + keyspace: { + displayName: "Keyspace", + default: "", + type: "text", + help: "Keyspace to generate/validate data to/from.", + override: "true" + }, + table: { + displayName: "Table", + default: "", + type: "text", + help: "Table to generate/validate data to/from.", + override: "true" + } + } +}); +dataSourcePropertiesMap.set("csv", { + optGroupLabel: "Data Source", + Name: "CSV", + properties: { + path: { + displayName: "Path", + default: "/tmp/generated-data/csv", + type: "text", + help: "File pathway to save CSV.", + required: "" + }, + partitions: { + displayName: "Num Partitions", + default: "1", + type: "number", + help: "Number of file partitions.", + override: "true" + }, + partitionBy: { + displayName: "Partition By", + default: "", + type: "text", + help: "Column name(s) to partition by (comma separated).", + override: "true" + } + } +}); +dataSourcePropertiesMap.set("http", { + optGroupLabel: "Data Source", + Name: "HTTP", + properties: { + user: { + displayName: "Username", + default: "", + type: "text", + help: "Username to connect to HTTP API." + }, + password: { + displayName: "Password", + default: "", + type: "password", + help: "Password to connect to HTTP API." + }, + } +}); +dataSourcePropertiesMap.set("iceberg", { + optGroupLabel: "Data Source", + Name: "Iceberg", + properties: { + catalogType: { + displayName: "Catalog Type", + default: "hadoop", + type: "text", + choice: ["hadoop", "glue", "hive", "jdbc", "nessie", "rest"], + help: "Catalog Type for Iceberg metadata.", + required: "" + }, + path: { + displayName: "Warehouse Path", + default: "/tmp/generated-data/iceberg", + type: "text", + help: "File pathway to Iceberg warehouse.", + }, + catalogUri: { + displayName: "Catalog URI", + default: "", + type: "text", + help: "Catalog URI for Iceberg metadata." + }, + table: { + displayName: "Table Name", + default: "", + type: "text", + help: "Table name for Iceberg dataset (format: [database name].[table name]).", + override: "true" + }, + partitions: { + displayName: "Num Partitions", + default: "1", + type: "number", + help: "Number of file partitions.", + override: "true" + }, + partitionBy: { + displayName: "Partition By", + default: "", + type: "text", + help: "Column name(s) to partition by (comma separated).", + override: "true" + } + } +}); +dataSourcePropertiesMap.set("json", { + optGroupLabel: "Data Source", + Name: "JSON", + properties: { + path: { + displayName: "Path", + default: "/tmp/generated-data/json", + type: "text", + help: "File pathway to save JSON.", + required: "" + }, + partitions: { + displayName: "Num Partitions", + default: "1", + type: "number", + help: "Number of file partitions.", + override: "true" + }, + partitionBy: { + displayName: "Partition By", + default: "", + type: "text", + help: "Column name(s) to partition by (comma separated).", + override: "true" + } + } +}); +dataSourcePropertiesMap.set("kafka", { + optGroupLabel: "Data Source", + Name: "Kafka", + properties: { + url: { + displayName: "URL", + default: "localhost:9092", + type: "text", + help: "URL to connect to Kafka.", + required: "" + }, + topic: { + displayName: "Topic", + default: "", + type: "text", + help: "Topic to generate/validate data to/from.", + required: "", + override: "true" + }, + } +}); +dataSourcePropertiesMap.set("mysql", { + optGroupLabel: "Data Source", + Name: "MySQL", + properties: { + url: { + displayName: "URL", + default: "jdbc:mysql://localhost:3306/customer", + type: "text", + help: "URL to connect to MySQL.", + required: "" + }, + user: { + displayName: "Username", + default: "root", + type: "text", + help: "Username to connect to MySQL.", + required: "" + }, + password: { + displayName: "Password", + default: "root", + type: "password", + help: "Password to connect to MySQL.", + required: "" + }, + schema: { + displayName: "Schema", + default: "", + type: "text", + help: "Schema to generate/validate data to/from.", + override: "true" + }, + table: { + displayName: "Table", + default: "", + type: "text", + help: "Table to generate/validate data to/from.", + override: "true" + } + } +}); +dataSourcePropertiesMap.set("orc", { + optGroupLabel: "Data Source", + Name: "ORC", + properties: { + path: { + displayName: "Path", + default: "/tmp/generated-data/orc", + type: "text", + help: "File pathway to save ORC.", + required: "" + }, + partitions: { + displayName: "Num Partitions", + default: "1", + type: "number", + help: "Number of file partitions.", + override: "true" + }, + partitionBy: { + displayName: "Partition By", + default: "", + type: "text", + help: "Column name(s) to partition by (comma separated).", + override: "true" + } + } +}); +dataSourcePropertiesMap.set("parquet", { + optGroupLabel: "Data Source", + Name: "Parquet", + properties: { + path: { + displayName: "Path", + default: "/tmp/generated-data/parquet", + type: "text", + help: "File pathway to save Parquet.", + required: "" + }, + partitions: { + displayName: "Num Partitions", + default: "1", + type: "number", + help: "Number of file partitions.", + override: "true" + }, + partitionBy: { + displayName: "Partition By", + default: "", + type: "text", + help: "Column name(s) to partition by (comma separated).", + override: "true" + } + } +}); +dataSourcePropertiesMap.set("postgres", { + optGroupLabel: "Data Source", + Name: "Postgres", + properties: { + url: { + displayName: "URL", + default: "jdbc:postgresql://localhost:5432/customer", + type: "text", + help: "URL to connect to Postgres.", + required: "" + }, + user: { + displayName: "Username", + default: "postgres", + type: "text", + help: "Username to connect to Postgres.", + required: "" + }, + password: { + displayName: "Password", + default: "postgres", + type: "password", + help: "Password to connect to Postgres.", + required: "" + }, + schema: { + displayName: "Schema", + default: "", + type: "text", + help: "Schema to generate/validate data to/from.", + override: "true" + }, + table: { + displayName: "Table", + default: "", + type: "text", + help: "Table to generate/validate data to/from.", + override: "true" + } + } +}); +dataSourcePropertiesMap.set("solace", { + optGroupLabel: "Data Source", + Name: "Solace", + properties: { + url: { + displayName: "URL", + default: "smf://host.docker.internal:55554", + type: "text", + help: "URL to connect to Solace.", + required: "" + }, + destination: { + displayName: "Destination", + default: "/JNDI/Q/test_queue", + type: "text", + help: "JNDI destination to generate/validate data to/from.", + required: "", + override: "true" + } + } +}); + +// Metadata Source +dataSourcePropertiesMap.set("amundsen", { + optGroupLabel: "Metadata Source", + Name: "Amundsen", + properties: { + url: { + displayName: "URL", + default: "", + type: "text", + help: "URL to connect to Amundsen API.", + required: "" + } + } +}); +dataSourcePropertiesMap.set("datahub", { + optGroupLabel: "Metadata Source", + Name: "Datahub", + properties: { + url: { + displayName: "URL", + default: "", + type: "text", + help: "URL to connect to Datahub API.", + required: "" + } + } +}); +dataSourcePropertiesMap.set("great_expectations", { + optGroupLabel: "Metadata Source", + Name: "Great Expectations", + properties: { + path: { + displayName: "Expectations File", + default: "", + type: "text", + help: "File path to expectations file.", + required: "" + } + } +}); +dataSourcePropertiesMap.set("marquez", { + optGroupLabel: "Metadata Source", + Name: "Marquez", + properties: { + url: { + displayName: "URL", + default: "http://localhost:5001", + type: "text", + help: "API URL to connect to Marquez.", + required: "" + }, + namespace: { + displayName: "Namespace", + default: "", + type: "text", + help: "Namespace to gather metadata from.", + override: "true" + }, + dataset: { + displayName: "Dataset", + default: "", + type: "text", + help: "Dataset to gather metadata from.", + override: "true" + } + } +}); +dataSourcePropertiesMap.set("open_api", { + optGroupLabel: "Metadata Source", + Name: "OpenAPI/Swagger", + properties: { + schemaLocation: { + displayName: "Schema Location", + default: "", + type: "text", + help: "Path/URL to gather metadata from.", + required: "" + } + } +}); +dataSourcePropertiesMap.set("open_data_contract_standard", { + optGroupLabel: "Metadata Source", + Name: "ODCS", + properties: { + path: { + displayName: "Contract File", + default: "", + type: "text", + help: "File path to ODCS file.", + required: "" + } + } +}); +dataSourcePropertiesMap.set("open_metadata", { + optGroupLabel: "Metadata Source", + Name: "Open Metadata", + properties: { + url: { + displayName: "URL", + default: "http://localhost:8585/api", + type: "text", + help: "API URL to connect to OpenMetadata.", + required: "" + }, + authType: { + displayName: "Auth Type", + default: "openmetadata", + type: "text", + help: "Authentication mechanism used to connect to OpenMetadata.", + required: "" + }, + jwt: { + displayName: "JWT", + default: "", + type: "password", + help: "JWT token." + }, + tableFQN: { + displayName: "Table FQN", + default: "", + type: "text", + help: "Table FQN to gather metadata from.", + override: "true" + } + } +}); + +// Alert +dataSourcePropertiesMap.set("slack", { + optGroupLabel: "Alert", + Name: "Slack", + properties: { + token: { + displayName: "Token", + default: "", + type: "password", + help: "Token to authenticate with Slack.", + required: "" + }, + channels: { + displayName: "Channels", + default: "", + type: "text", + help: "Channel(s) to send alerts to (comma separated).", + required: "" + } + } +}); diff --git a/sample/ui/connection/connection.html b/sample/ui/connection/connection.html new file mode 100644 index 00000000..6da1728d --- /dev/null +++ b/sample/ui/connection/connection.html @@ -0,0 +1,52 @@ + + + + + + + Data Caterer - Connection + + + + + + + + + +
+ + Data Caterer +
+ +
+

Create new connections

+
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+ +
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+
+
+ +
+
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+

Existing connections

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+
+ + + + + + \ No newline at end of file diff --git a/sample/ui/connection/connection.js b/sample/ui/connection/connection.js new file mode 100644 index 00000000..01d10ed9 --- /dev/null +++ b/sample/ui/connection/connection.js @@ -0,0 +1,180 @@ +import { + addNewDataTypeAttribute, + createAccordionItem, + createButton, + createButtonGroup, + createCloseButton, + createFormFloating, + createInput, + createSelect, + createToast, + syntaxHighlight +} from "../shared.js"; +import {dataSourcePropertiesMap} from "../configuration-data.js"; + +const addDataSourceButton = document.getElementById("add-data-source-button"); +const dataSourceConfigRow = document.getElementById("add-data-source-config-row"); +const submitConnectionButton = document.getElementById("submit-connection"); +const accordionConnections = document.getElementById("connections-list"); +let numDataSources = 1; +let numExistingConnections = 0; + +dataSourceConfigRow.append(createDataSourceElement(numDataSources)); +addDataSourceButton.addEventListener("click", function () { + numDataSources += 1; + let divider = document.createElement("hr"); + let newDataSource = createDataSourceElement(numDataSources, divider); + dataSourceConfigRow.append(newDataSource); +}); + +getExistingConnections(); + +submitConnectionButton.addEventListener("click", async function () { + //get all the connections created in add-data-source-config-row + let newConnections = []; + const allDataSourceContainers = Array.from(dataSourceConfigRow.querySelectorAll(".data-source-container").values()); + for (let container of allDataSourceContainers) { + let currConnection = {}; + let currConnectionOptions = {}; + let inputFields = Array.from(container.querySelectorAll(".input-field").values()); + for (let inputField of inputFields) { + let ariaLabel = inputField.getAttribute("aria-label"); + if (ariaLabel) { + if (ariaLabel === "Name") { + currConnection["name"] = inputField.value; + } else if (ariaLabel === "Data source") { + currConnection["type"] = inputField.value; + } else { + if (inputField.value !== "") { + currConnectionOptions[ariaLabel] = inputField.value; + } + } + } + } + currConnection["options"] = currConnectionOptions; + newConnections.push(currConnection); + } + //save data to file(s) + await Promise.resolve() + .catch(err => { + console.error(err); + alert(err); + }) + .then(r => { + if (r.ok) { + return r.text(); + } else { + r.text().then(text => { + createToast(`Save connection(s)`, `Failed to save connection(s)! Error: ${text}`, "fail"); + throw new Error(text); + }); + } + }) + .then(async r => { + await getExistingConnections(); + }); +}); + +//existing connection list populated via data from files +//TODO allow for Slack and metadata source connections to be created here +async function getExistingConnections() { + accordionConnections.replaceChildren(); + Promise.resolve({"connections":[{"name":"my-cassandra","options":{"url":"localhost:9042","keyspace":"","user":"cassandra","table":"","password":"***"},"type":"cassandra"},{"name":"my-csv","options":{"path":"/tmp/generated-data/csv"},"type":"csv"},{"name":"my-json","options":{"path":"/tmp/generated-data/json"},"type":"json"}]}) + .then(respJson => { + let connections = respJson.connections; + for (let connection of connections) { + numExistingConnections += 1; + let accordionItem = createAccordionItem(numExistingConnections, connection.name, "", syntaxHighlight(connection)); + // add in button to delete connection + let deleteButton = createButton(`connection-delete-${connection.name}`, "Connection delete", "btn btn-danger", "Delete"); + + deleteButton.addEventListener("click", async function () { + await fetch(`http://localhost:9898/connection/${connection.name}`, {method: "DELETE"}); + accordionConnections.removeChild(accordionItem); + createToast(`${connection.name}`, `Connection ${connection.name} deleted!`, "success"); + }); + + let buttonGroup = createButtonGroup(deleteButton); + let header = accordionItem.querySelector(".accordion-header"); + let divContainer = document.createElement("div"); + divContainer.setAttribute("class", "d-flex align-items-center"); + divContainer.append(header.firstChild, buttonGroup); + header.replaceChildren(divContainer); + accordionConnections.append(accordionItem); + } + }); +} + +function createDataSourceOptions(element) { + element.addEventListener("change", function () { + let dataSourceProps = dataSourcePropertiesMap.get(this.value); + if (dataSourceProps && dataSourceProps !== "") { + let currentDataSourceIndexRow = $(element).closest(".data-source-container"); + currentDataSourceIndexRow.find(".row").remove(); + + for (const [key, value] of Object.entries(dataSourceProps.properties)) { + addNewDataTypeAttribute(key, value, `connection-config-${numExistingConnections}-${key}`, "data-source-property", currentDataSourceIndexRow); + } + } + }); +} + + +function createDataSourceElement(index, hr) { + let divContainer = document.createElement("div"); + divContainer.setAttribute("id", "data-source-container-" + index); + divContainer.setAttribute("class", "row m-1 data-source-container align-items-center"); + let colName = document.createElement("div"); + colName.setAttribute("class", "col"); + let colSelect = document.createElement("div"); + colSelect.setAttribute("class", "col"); + + let dataSourceName = createInput(`data-source-name-${index}`, "Name", "form-control input-field data-source-property", "text", `my-data-source-${index}`); + let formFloatingName = createFormFloating("Name", dataSourceName); + + let dataSourceSelect = createSelect(`data-source-select-${index}`, "Data source", "selectpicker form-control input-field data-source-property", "Select data source type..."); + dataSourceSelect.setAttribute("data-live-search", "true"); + + let dataSourceGroup = createOptGroup("Data Source"); + let metadataSourceGroup = createOptGroup("Metadata Source"); + let alertGroup = createOptGroup("Alert"); + if (dataSourceSelect.childElementCount === 0) { + dataSourceSelect.append(dataSourceGroup, metadataSourceGroup, alertGroup); + + for (const key of dataSourcePropertiesMap.keys()) { + let optionProps = dataSourcePropertiesMap.get(key); + let selectOption = document.createElement("option"); + selectOption.setAttribute("value", key); + selectOption.innerText = optionProps.Name; + if (optionProps.disabled === "") { + selectOption.setAttribute("disabled", ""); + } + + let optGroupLabel = optionProps.optGroupLabel; + if (optGroupLabel === "Data Source") { + dataSourceGroup.append(selectOption); + } else if (optGroupLabel === "Metadata Source") { + metadataSourceGroup.append(selectOption); + } else if (optGroupLabel === "Alert") { + alertGroup.append(selectOption); + } + } + } + let closeButton = createCloseButton(divContainer); + + createDataSourceOptions(dataSourceSelect); + colName.append(formFloatingName); + colSelect.append(dataSourceSelect); + $(dataSourceSelect).val("").selectpicker(); + if (hr) { + divContainer.append(hr); + } + divContainer.append(colName, colSelect, closeButton); + return divContainer; +} + +function createOptGroup(label) { + let metadataSourceGroup = document.createElement("optgroup"); + metadataSourceGroup.setAttribute("label", label); + return metadataSourceGroup; +} diff --git a/sample/ui/helper-configuration.js b/sample/ui/helper-configuration.js new file mode 100644 index 00000000..adb92ed7 --- /dev/null +++ b/sample/ui/helper-configuration.js @@ -0,0 +1,139 @@ +/* +Configuration for job execution. Includes: +- Flags for enabling/disabling features +- Metadata +- Generation +- Validation +- Folder pathways +- Alerts +- Runtime + */ +import {createAccordionItem, createFormFloating, createFormText, createInput, createSelect} from "./shared.js"; +import {configurationOptionsMap, reportOptionsMap} from "./configuration-data.js"; + +export function createConfiguration() { + let configurationContainer = document.createElement("div"); + configurationContainer.setAttribute("class", "accordion mt-2"); + let configIndex = 0; + for (let [configKey, configOptions] of configurationOptionsMap.entries()) { + configIndex += 1; + // create accordion item with configKey header and configOptions as grid content + let header = configKey.charAt(0).toUpperCase() + configKey.slice(1); + let configOptionsContainer = document.createElement("div"); + configOptionsContainer.setAttribute("class", "m-1 configuration-options-container"); + for (let [optKey, options] of Object.entries(configOptions)) { + // check if config is already included in the alert section, if not, add it + if (!reportOptionsMap.has(optKey)) { + let newConfigOptionRow = createNewConfigRow(configKey, optKey, options); + configOptionsContainer.append(newConfigOptionRow); + } + } + let accordionItem = createAccordionItem(`config-${configIndex}`, header, "", configOptionsContainer); + configurationContainer.append(accordionItem); + } + return configurationContainer; +} + +export function createConfigurationFromPlan(respJson) { + if (respJson.configuration) { + let configContainer = $(document).find("#configuration-details-body,#report-details-body"); + for (const [configParent, configValues] of Object.entries(respJson.configuration)) { + for (const [optKey, optValue] of Object.entries(configValues)) { + let currentConfigElement = $(configContainer).find(`[configuration-parent="${configParent}"][configuration="${optKey}"]`); + let typeAttr = currentConfigElement.attr("type"); + if (typeAttr && typeAttr === "checkbox") { + currentConfigElement.prop("checked", optValue === "true"); + } else if (optValue !== "") { + currentConfigElement.val(optValue); + } + } + } + } +} + +export function getConfiguration() { + let configurationOptionContainers = Array.from(document.querySelectorAll(".configuration-options-container").values()); + let mappedConfiguration = new Map(); + configurationOptionContainers.forEach(configurationOptionContainer => { + let inputConfigurations = Array.from(configurationOptionContainer.querySelectorAll(".input-configuration").values()); + for (let option of inputConfigurations) { + let baseConfig = option.getAttribute("configuration-parent"); + let options = (mappedConfiguration.get(baseConfig) || new Map()); + if (option.getAttribute("type") === "checkbox") { + let optionEnabled = option.checked ? "true" : "false"; + options.set(option.getAttribute("configuration"), optionEnabled); + } else { + options.set(option.getAttribute("configuration"), option.value); + } + mappedConfiguration.set(baseConfig, options); + } + }); + return mappedConfiguration; +} + +export function createNewConfigRow(configKey, optKey, options) { + let newConfigOptionRow = document.createElement("div"); + newConfigOptionRow.setAttribute("class", "row g-3 m-1 align-items-center user-added-attribute"); + let configOptionInput = createConfigurationOption(configKey, optKey, options); + newConfigOptionRow.append(configOptionInput); + if (options.help) { + let formText = createFormText(optKey, options.help, "span"); + formText.setAttribute("class", "col-8"); + newConfigOptionRow.append(formText); + } + return newConfigOptionRow; +} + +function createConfigurationOption(configKey, config, options) { + let configLabel = options["paid"] ? `${options.displayName}*` : options.displayName; + let colWrapper = document.createElement("div"); + colWrapper.setAttribute("class", "col-4"); + if (options.choice && options.choice.includes("true")) { + let formSwitch = document.createElement("div"); + formSwitch.setAttribute("class", "form-check form-switch m-1"); + let switchInput = document.createElement("input"); + switchInput.setAttribute("class", "form-check-input input-configuration"); + switchInput.setAttribute("configuration-parent", configKey); + switchInput.setAttribute("configuration", options.configName); + switchInput.setAttribute("type", "checkbox"); + switchInput.setAttribute("role", "switch"); + switchInput.setAttribute("id", "switch-" + config); + if (options.default === "true") { + switchInput.setAttribute("checked", ""); + } + let switchLabel = document.createElement("label"); + switchLabel.setAttribute("class", "form-check-label"); + switchLabel.setAttribute("for", "switch-" + config); + switchLabel.innerText = configLabel; + formSwitch.append(switchInput, switchLabel); + colWrapper.append(formSwitch); + } else if (options.choice) { + let selectInput = createSelect(`select-${config}`, configLabel, "selectpicker form-control input-field input-configuration m-1", `Select ${configLabel} option...`); + selectInput.setAttribute("configuration-parent", configKey); + selectInput.setAttribute("configuration", options.configName); + for (let choice of options.choice) { + let option = document.createElement("option"); + option.setAttribute("value", choice.toString()); + option.innerText = choice.toString(); + if (choice === options["default"]) { + option.setAttribute("selected", ""); + } + selectInput.append(option); + } + colWrapper.append(selectInput); + $(selectInput).selectpicker(); + } else { + let formInput = createInput(`config-${config}`, config, "form-control input-field input-configuration", options.type, options["default"]); + formInput.setAttribute("configuration-parent", configKey); + formInput.setAttribute("configuration", options.configName); + + for (const [key, value] of Object.entries(options)) { + if (key !== "default" && key !== "type" && key !== "choice" && key !== "help") { + formInput.setAttribute(key, value); + } + } + let formFloatingAttr = createFormFloating(configLabel, formInput); + colWrapper.append(formFloatingAttr); + } + return colWrapper; +} \ No newline at end of file diff --git a/sample/ui/helper-foreign-keys.js b/sample/ui/helper-foreign-keys.js new file mode 100644 index 00000000..77f906b2 --- /dev/null +++ b/sample/ui/helper-foreign-keys.js @@ -0,0 +1,198 @@ +/* +Foreign keys section based off tasks created. +Ability to choose task name and columns. Define custom relationships. +- One to one +- One to many +- Transformations + */ +import { + addAccordionCloseButton, + createAccordionItem, + createButton, + createCloseButton, + createFieldValidationCheck, + createFormFloating, + createInput, + createSelect, + wait +} from "./shared.js"; + +export let numForeignKeys = 0; +export let numForeignKeysLinks = 0; + +export function createForeignKeys() { + let foreignKeyContainer = document.createElement("div"); + foreignKeyContainer.setAttribute("class", "foreign-keys-container"); + let foreignKeyAccordion = document.createElement("div"); + foreignKeyAccordion.setAttribute("class", "accordion mt-2"); + foreignKeyAccordion.setAttribute("style", "--bs-accordion-active-bg: mistyrose"); + + let addForeignKeyButton = createButton("add-foreign-key-btn", "add-foreign-key", "btn btn-secondary", "+ Relationship"); + addForeignKeyButton.addEventListener("click", async function () { + numForeignKeys += 1; + let newForeignKey = await createForeignKey(numForeignKeys); + foreignKeyAccordion.append(newForeignKey); + }); + + foreignKeyContainer.append(addForeignKeyButton, foreignKeyAccordion); + return foreignKeyContainer; +} + +async function createForeignKeyLinksFromPlan(newForeignKey, foreignKey, linkType) { + // clear out default links + let foreignKeyLinkSources = newForeignKey.querySelector(`.foreign-key-${linkType}-link-sources`); + if (foreignKeyLinkSources.length) { + foreignKeyLinkSources.removeChild(foreignKeyLinkSources.querySelectorAll(`.foreign-key-${linkType}-link-source`)[0]); + } + for (const fkLink of Array.from(foreignKey[`${linkType}Links`])) { + let newForeignKeyLink = await createForeignKeyInput(numForeignKeysLinks, `foreign-key-${linkType}-link`); + foreignKeyLinkSources.insertBefore(newForeignKeyLink, foreignKeyLinkSources.lastChild); + $(newForeignKeyLink).find(`select.foreign-key-${linkType}-link`).selectpicker("val", fkLink.taskName); + $(newForeignKeyLink).find(`input.foreign-key-${linkType}-link`).val(fkLink.columns)[0].dispatchEvent(new Event("input")); + } +} + +export async function createForeignKeysFromPlan(respJson) { + if (respJson.foreignKeys) { + let foreignKeysAccordion = document.querySelector(".foreign-keys-container").querySelector(".accordion"); + for (const foreignKey of respJson.foreignKeys) { + numForeignKeys += 1; + let newForeignKey = await createForeignKey(numForeignKeys); + foreignKeysAccordion.append(newForeignKey); + + if (foreignKey.source) { + $(newForeignKey).find("select.foreign-key-source").selectpicker("val", foreignKey.source.taskName); + $(newForeignKey).find("input.foreign-key-source").val(foreignKey.source.columns)[0].dispatchEvent(new Event("input")); + } + + if (foreignKey.generationLinks) { + await createForeignKeyLinksFromPlan(newForeignKey, foreignKey, "generation"); + } + if (foreignKey.deleteLinks) { + await createForeignKeyLinksFromPlan(newForeignKey, foreignKey, "delete"); + } + } + } +} + +function getForeignKeyLinksToArray(fkContainer, className) { + let fkGenerationLinks = $(fkContainer).find(className); + let fkGenerationLinkArray = []; + for (let fkLink of fkGenerationLinks) { + let fkLinkDetails = getForeignKeyDetail(fkLink); + fkGenerationLinkArray.push(fkLinkDetails); + } + return fkGenerationLinkArray; +} + +export function getForeignKeys() { + let foreignKeyContainers = Array.from(document.querySelectorAll(".foreign-key-container").values()); + return foreignKeyContainers.map(fkContainer => { + let fkSource = $(fkContainer).find(".foreign-key-main-source"); + let fkSourceDetails = getForeignKeyDetail(fkSource[0]); + let fkGenerationLinkArray = getForeignKeyLinksToArray(fkContainer, ".foreign-key-generation-link-source"); + let fkDeleteLinkArray = getForeignKeyLinksToArray(fkContainer, ".foreign-key-delete-link-source"); + return {source: fkSourceDetails, generationLinks: fkGenerationLinkArray, deleteLinks: fkDeleteLinkArray}; + }); +} + +async function createForeignKeyLinks(index, linkType) { + // links to either data generation link or delete link + let buttonText = linkType.charAt(0).toUpperCase() + linkType.slice(1); + let linkSourceFkHeader = document.createElement("h5"); + linkSourceFkHeader.innerText = "Links to"; + let linkSourceForeignKeys = document.createElement("div"); + linkSourceForeignKeys.setAttribute("class", `foreign-key-${linkType}-link-sources`); + let addLinkForeignKeyButton = createButton(`add-foreign-key-${linkType}-link-btn-${index}`, "add-link", "btn btn-secondary", "+ Link"); + addLinkForeignKeyButton.addEventListener("click", async function () { + numForeignKeysLinks += 1; + let newForeignKeyLink = await createForeignKeyInput(numForeignKeysLinks, `foreign-key-${linkType}-link`); + linkSourceForeignKeys.insertBefore(newForeignKeyLink, addLinkForeignKeyButton); + }); + + linkSourceForeignKeys.append(addLinkForeignKeyButton); + + let bodyContainer = document.createElement("div"); + bodyContainer.append(linkSourceFkHeader, linkSourceForeignKeys); + return createAccordionItem(`foreign-key-${linkType}-${index}`, buttonText, "", bodyContainer); +} + +async function createForeignKey(index) { + let foreignKeyContainer = document.createElement("div"); + foreignKeyContainer.setAttribute("class", "foreign-key-container"); + // main source + let mainSourceFkHeader = document.createElement("h5"); + mainSourceFkHeader.innerText = "Source"; + let mainSourceForeignKey = document.createElement("div"); + mainSourceForeignKey.setAttribute("class", "foreign-key-main-source"); + let mainForeignKeySource = await createForeignKeyInput(index, "foreign-key-source"); + mainSourceForeignKey.append(mainForeignKeySource); + + let foreignKeyLinkAccordion = document.createElement("div"); + foreignKeyLinkAccordion.setAttribute("class", "accordion mt-2"); + // foreignKeyLinkAccordion.setAttribute("style", "--bs-accordion-active-bg: mistyrose"); + + let generationAccordionItem = await createForeignKeyLinks(index, "generation"); + let deleteAccordionItem = await createForeignKeyLinks(index, "delete"); + foreignKeyLinkAccordion.append(generationAccordionItem, deleteAccordionItem); + + let accordionItem = createAccordionItem(`foreign-key-${index}`, `Relationship ${index}`, "", foreignKeyContainer, "show"); + addAccordionCloseButton(accordionItem); + foreignKeyContainer.append(mainSourceFkHeader, mainSourceForeignKey, foreignKeyLinkAccordion); + return accordionItem; +} + +async function updateForeignKeyTasks(taskNameSelect) { + await wait(100); + let previousSelectedVal = $(taskNameSelect).val(); + $(taskNameSelect).empty(); + let taskNames = Array.from(document.querySelectorAll(".task-name-field").values()); + for (const taskName of taskNames) { + let selectOption = document.createElement("option"); + selectOption.setAttribute("value", taskName.value); + selectOption.innerText = taskName.value; + taskNameSelect.append(selectOption); + } + $(taskNameSelect).selectpicker("destroy").selectpicker("render"); + let hasPreviousSelectedVal = $(taskNameSelect).find(`[value="${previousSelectedVal}"]`); + if (previousSelectedVal !== "" && hasPreviousSelectedVal.length) { + $(previousSelectedVal).selectpicker("val", previousSelectedVal); + } +} + +async function createForeignKeyInput(index, name) { + let foreignKey = document.createElement("div"); + foreignKey.setAttribute("class", `row m-1 align-items-center ${name}-source`); + // input is task name -> column(s) + let taskNameSelect = createSelect(`${name}-${index}`, "Task", `selectpicker form-control input-field ${name}`, "Select a task..."); + let taskNameCol = document.createElement("div"); + taskNameCol.setAttribute("class", "col"); + taskNameCol.append(taskNameSelect); + + let columnNamesInput = createInput(`${name}-column-${index}`, "Columns", `form-control input-field is-invalid ${name}`, "text", ""); + columnNamesInput.setAttribute("required", ""); + createFieldValidationCheck(columnNamesInput); + let columnNameFloating = createFormFloating("Column(s)", columnNamesInput); + + foreignKey.append(taskNameCol, columnNameFloating); + if (name === "foreign-key-generation-link" || name === "foreign-key-delete-link") { + let closeButton = createCloseButton(foreignKey); + foreignKey.append(closeButton); + } + $(taskNameSelect).selectpicker(); + // get the latest list of task names + $(document).find(".task-name-field").on("change", function () { + updateForeignKeyTasks(taskNameSelect); + }); + $(document).find("#add-task-button").on("click", function () { + updateForeignKeyTasks(taskNameSelect); + }); + await updateForeignKeyTasks(taskNameSelect); + return foreignKey; +} + +function getForeignKeyDetail(element) { + let taskName = $(element).find("select[aria-label=Task]").val(); + let columns = $(element).find("input[aria-label=Columns]").val(); + return {taskName: taskName, columns: columns}; +} diff --git a/sample/ui/helper-generation.js b/sample/ui/helper-generation.js new file mode 100644 index 00000000..0335438d --- /dev/null +++ b/sample/ui/helper-generation.js @@ -0,0 +1,198 @@ +import { + addNewDataTypeAttribute, + camelize, + createIconWithConnectionTooltip, + createManualContainer, + createNewField, + createSelect, + createToast, + findNextLevelNodesByClass, + getDataConnectionsAndAddToSelect, + wait +} from "./shared.js"; +import {dataSourcePropertiesMap, dataTypeOptionsMap} from "./configuration-data.js"; + +export let numFields = 0; + +export function incFields() { + numFields++; +} + +function addMetadataConnectionOverrideOptions(metadataConnectionSelect, overrideOptionsContainer, index) { + metadataConnectionSelect.addEventListener("change", (event) => { + let metadataSourceName = event.target.value; + Promise.resolve({"groupType":"metadata","name":"my-marquez","options":{"namespace":"accounts","url":"http://localhost:5001"},"type":"marquez"}) + .then(respJson => { + if (respJson) { + //remove previous properties + overrideOptionsContainer.replaceChildren(); + let metadataSourceType = respJson.type; + let metadataSourceProperties = dataSourcePropertiesMap.get(metadataSourceType).properties; + + for (const [key, value] of Object.entries(metadataSourceProperties)) { + if (value["override"] && value["override"] === "true") { + //add properties that can be overridden + addNewDataTypeAttribute(key, value, `connection-config-${index}-${key}`, "metadata-source-property", overrideOptionsContainer); + } + } + } + }); + }); +} + +// allow users to get schema information from a metadata source such as openmetadata or marquez +export async function createAutoSchema(index) { + let baseContainer = document.createElement("div"); + baseContainer.setAttribute("id", `data-source-auto-schema-container-${index}`); + baseContainer.setAttribute("class", "card card-body data-source-auto-schema-container"); + baseContainer.style.display = "inherit"; + let autoSchemaHeader = document.createElement("h5"); + autoSchemaHeader.innerText = "Auto Schema"; + let baseTaskDiv = document.createElement("div"); + baseTaskDiv.setAttribute("class", "row m-2 g-2 align-items-center"); + + let metadataConnectionSelect = createSelect(`metadata-connection-${index}`, "Metadata source", "selectpicker form-control input-field metadata-connection-name", "Select metadata source..."); + let dataConnectionCol = document.createElement("div"); + dataConnectionCol.setAttribute("class", "col"); + dataConnectionCol.append(metadataConnectionSelect); + + let iconDiv = createIconWithConnectionTooltip(metadataConnectionSelect); + let iconCol = document.createElement("div"); + iconCol.setAttribute("class", "col-md-auto"); + iconCol.append(iconDiv); + baseTaskDiv.append(dataConnectionCol, iconCol); + + // get connection list, filter only metadata sources + let metadataConnection = await getDataConnectionsAndAddToSelect(metadataConnectionSelect, baseTaskDiv, "metadata"); + // provide opportunity to override non-connection options for metadata source (i.e. namespace, dataset) + let overrideOptionsContainer = document.createElement("div"); + // when the metadata source connection is selected, populate override options container with options with "override: true" + addMetadataConnectionOverrideOptions(metadataConnectionSelect, overrideOptionsContainer, index); + + baseContainer.append(autoSchemaHeader, metadataConnection, overrideOptionsContainer); + return baseContainer; +} + +async function createGenerationFields(dataSourceFields, manualSchema) { + let allCollapsedAccordionButton = $(document).find(".accordion-button.collapsed"); + allCollapsedAccordionButton.click(); + for (const field of dataSourceFields.optFields) { + numFields += 1; + let newField = await createNewField(numFields, "generation"); + $(manualSchema).find(".accordion").first().append(newField); + $(newField).find("[id^=field-name]").val(field.name)[0].dispatchEvent(new Event("input")); + $(newField).find("select[class~=field-type]").selectpicker("val", field.type)[0].dispatchEvent(new Event("change")); + + if (field.options) { + for (const [optKey, optVal] of Object.entries(field.options)) { + let baseOptions = Object.create(dataTypeOptionsMap.get(field.type)[optKey]); + baseOptions["default"] = optVal; + let mainContainer = $(newField).find(".accordion-body")[0]; + addNewDataTypeAttribute(optKey, baseOptions, `data-field-container-${numFields}-${optKey}`, "data-source-field", mainContainer); + document.getElementById(`data-field-container-${numFields}-${optKey}`).dispatchEvent(new Event("input")); + } + } + // there are nested fields + if (field.nested && field.nested.optFields) { + let newFieldBox = $(newField).find(".card"); + await createGenerationFields(field.nested, newFieldBox); + } + } + let collapseShow = $(document).find(".accordion-button.collapse.show"); + collapseShow.click(); +} + +async function createAutoGenerationSchema(autoFromMetadataSchema, dataSource) { + $(autoFromMetadataSchema).find(".metadata-connection-name").selectpicker("val", dataSource.fields.optMetadataSource.name)[0].dispatchEvent(new Event("change")); + // takes some time to get the override options + await wait(100); + for (let [key, value] of Object.entries(dataSource.fields.optMetadataSource.overrideOptions)) { + $(autoFromMetadataSchema).find(`input[aria-label="${key}"]`).val(value); + } +} + +export async function createGenerationElements(dataSource, newDataSource, numDataSources) { + let dataSourceGenContainer = $(newDataSource).find("#data-source-generation-config-container"); + // check if there is auto schema defined + // check if there is auto schema from metadata source defined + if (dataSource.fields && dataSource.fields.optMetadataSource) { + $(dataSourceGenContainer).find("[id^=auto-from-metadata-source-generation-checkbox]").prop("checked", true); + let autoFromMetadataSchema = await createAutoSchema(numDataSources); + $(dataSourceGenContainer).find(".manual").after(autoFromMetadataSchema); + + await createAutoGenerationSchema(autoFromMetadataSchema, dataSource); + } + // check if there is manual schema defined + if (dataSource.fields && dataSource.fields.optFields && dataSource.fields.optFields.length > 0) { + let manualSchema = createManualContainer(numFields, "generation"); + dataSourceGenContainer[0].insertBefore(manualSchema, dataSourceGenContainer[0].lastElementChild); + $(dataSourceGenContainer).find("[id^=manual-generation-checkbox]").prop("checked", true); + + await createGenerationFields(dataSource.fields, manualSchema); + } +} + +function getGenerationSchema(dataSourceSchemaContainer) { + let dataSourceFields = findNextLevelNodesByClass($(dataSourceSchemaContainer), ["data-field-container"]); + // get name, type and options applied to each field + return dataSourceFields.map(field => { + // need to only get first level of data-source-fields, get nested fields later + let fieldAttributes = findNextLevelNodesByClass($(field), "data-source-field", ["data-field-container"]); + + return fieldAttributes + .map(attr => attr.getAttribute("aria-label") ? attr : $(attr).find(".data-source-field")[0]) + .reduce((options, attr) => { + let label = camelize(attr.getAttribute("aria-label")); + let fieldValue = attr.value; + if (label === "type" && fieldValue === "struct") { + // nested fields can be defined + let innerStructSchema = field.querySelector(".data-source-schema-container-struct-schema"); + options[label] = fieldValue; + options["nested"] = {optFields: getGenerationSchema(innerStructSchema)}; + } else if (label === "name" || label === "type") { + options[label] = fieldValue; + } else { + let currOpts = (options["options"] || new Map()); + currOpts.set(label, fieldValue); + options["options"] = currOpts; + } + return options; + }, {}); + }); +} + +export function getGeneration(dataSource, currentDataSource) { + let dataGenerationInfo = {}; + // check which checkboxes are enabled: auto, auto with external, manual + let isAutoChecked = $(dataSource).find("[id^=auto-generation-checkbox]").is(":checked"); + let isAutoFromMetadataChecked = $(dataSource).find("[id^=auto-from-metadata-source-generation-checkbox]").is(":checked"); + let isManualChecked = $(dataSource).find("[id^=manual-generation-checkbox]").is(":checked"); + + if (isAutoChecked) { + // need to enable data generation within data source options + currentDataSource["options"] = {enableDataGeneration: "true"}; + } + + if (isAutoFromMetadataChecked) { + let dataSourceAutoSchemaContainer = $(dataSource).find("[class~=data-source-auto-schema-container]")[0]; + let metadataConnectionName = $(dataSourceAutoSchemaContainer).find("select[class~=metadata-connection-name]").val(); + let metadataConnectionOptions = $(dataSourceAutoSchemaContainer).find("input[class~=metadata-source-property]").toArray() + .reduce(function (map, option) { + if (option.value !== "") { + map[option.getAttribute("aria-label")] = option.value; + } + return map; + }, {}); + dataGenerationInfo["optMetadataSource"] = { + name: metadataConnectionName, + overrideOptions: metadataConnectionOptions + }; + } + // get top level manual fields + if (isManualChecked) { + let dataSourceSchemaContainer = $(dataSource).find("[id^=data-source-schema-container]")[0]; + let dataFieldsWithAttributes = getGenerationSchema(dataSourceSchemaContainer); + dataGenerationInfo["optFields"] = Object.values(dataFieldsWithAttributes); + } + currentDataSource["fields"] = dataGenerationInfo; +} \ No newline at end of file diff --git a/sample/ui/helper-record-count.js b/sample/ui/helper-record-count.js new file mode 100644 index 00000000..246a34cd --- /dev/null +++ b/sample/ui/helper-record-count.js @@ -0,0 +1,213 @@ +import { + createButton, + createFormFloating, + createFormText, + createInput, + createRadioButtons, + createSelect +} from "./shared.js"; + + +export function createRecordCount(index) { + let recordCountContainer = document.createElement("div"); + recordCountContainer.setAttribute("id", "record-count-container"); + recordCountContainer.setAttribute("class", "card card-body") + let recordCountHeader = document.createElement("h5"); + recordCountHeader.innerText = "Record count"; + let recordCountRow = document.createElement("div"); + recordCountRow.setAttribute("class", "record-count-row"); + // have 3 columns + // - total -> number or random between min max + // - per column -> number or random between min max + // - estimated number of record + let estimatedRecordCountContainer = document.createElement("div"); + estimatedRecordCountContainer.setAttribute("class", "col"); + let estimatedRecordCount = document.createElement("p"); + estimatedRecordCount.innerHTML = "Estimate number of records: 1000"; + estimatedRecordCountContainer.append(estimatedRecordCount); + let baseRecordRadio = createBaseRecordCountContainer(index); + let perColumnContainer = createPerColumnCountContainer(index, estimatedRecordCountContainer); + let advancedButton = createButton("record-count-advanced-" + index, "Advanced", "btn btn-secondary m-1", "Advanced"); + advancedButton.setAttribute("data-bs-toggle", "collapse"); + advancedButton.setAttribute("data-bs-target", "#" + perColumnContainer.getAttribute("id")); + advancedButton.setAttribute("aria-expanded", "false"); + advancedButton.setAttribute("aria-controls", perColumnContainer.getAttribute("id")); + + recordCountRow.append(baseRecordRadio, advancedButton, perColumnContainer); + $(recordCountRow).find("input[type=radio].base-record-count-radio,input[type=radio].per-column-record-count-radio").change(function () { + let newEstimate = estimateRecordCount(recordCountRow)["estimateRecords"]; + estimatedRecordCount.innerHTML = "Estimate number of records: " + newEstimate + ""; + }); + estimateRecordCount(recordCountRow); + recordCountContainer.append(recordCountHeader, recordCountRow); + return recordCountContainer; +} + +export function createCountElementsFromPlan(dataSource, newDataSource) { + if (dataSource.count) { + let dsCount = dataSource.count; + if (dsCount.recordsMin && dsCount.recordsMax) { + $(newDataSource).find(".generated-records-between").prop("checked", true); + $(newDataSource).find("[id^=min-gen-record-count]").val(dsCount.recordsMin); + $(newDataSource).find("[id^=max-gen-record-count]").val(dsCount.recordsMax); + } else { + $(newDataSource).find(".records").prop("checked", true); + $(newDataSource).find("[id^=base-record-count]").val(dsCount.records); + } + + if (dsCount.perColumnNames) { + $(newDataSource).find("[id^=per-column-names]").val(dsCount.perColumnNames.join(",")); + if (dsCount.perColumnRecordsMin && dsCount.perColumnRecordsMax) { + $(newDataSource).find(".per-unique-set-of-values-between").prop("checked", true); + $(newDataSource).find("[id^=per-column-min-record-count]").val(dsCount.perColumnRecordsMin); + $(newDataSource).find("[id^=per-column-max-record-count]").val(dsCount.perColumnRecordsMax); + } else { + $(newDataSource).find(".per-unique-set-of-values").prop("checked", true); + $(newDataSource).find("[id^=per-column-record-count]").val(dsCount.perColumnRecords); + } + $(newDataSource).find("[id^=per-column-distribution-select]").selectpicker("val", dsCount.perColumnRecordsDistribution); + $(newDataSource).find("[id^=per-column-distribution-select]")[0].dispatchEvent(new Event("change")); + if (dsCount.perColumnRecordsDistribution === "exponential") { + $(newDataSource).find("[id^=per-column-distribution-rate]").val(dsCount.perColumnRecordsDistributionRateParam); + } + } + } +} + +export function getRecordCount(dataSource, currentDataSource) { + let recordCountRow = dataSource.querySelector(".record-count-row"); + let recordCountSummary = estimateRecordCount(recordCountRow); + delete recordCountSummary.estimateRecords; + currentDataSource["count"] = recordCountSummary; +} + +function createPerColumnCountContainer(index, estimatedRecordCountContainer) { + let perColumnRecordCol = createRecordCountInput(index, "per-column-record-count", "Records", "2"); + let perColumnMinCol = createRecordCountInput(index, "per-column-min-record-count", "Min", "1"); + let perColumnMaxCol = createRecordCountInput(index, "per-column-max-record-count", "Max", "2"); + let perColumnBetweenContainer = document.createElement("div"); + perColumnBetweenContainer.setAttribute("class", "row g-1"); + perColumnBetweenContainer.append(perColumnMinCol, perColumnMaxCol); + let perColumnOptions = [{text: "None"}, { + text: "Per unique set of values", + child: perColumnRecordCol + }, {text: "Per unique set of values between", child: perColumnBetweenContainer}]; + let perColumnRadio = createRadioButtons(index, "per-column-record-count-radio", perColumnOptions, "col-6"); + // above per column radio is choice of columns + let perColumnText = createInput(`per-column-names-${index}`, "Column(s)", "form-control input-field record-count-field", "text", ""); + let perColumnFormFloating = createFormFloating("Column(s)", perColumnText); + // per column distribution alongside radio buttons + let perColumnDistributionSelect = createSelect(`per-column-distribution-select-${index}`, "Distribution", "selectpicker form-control input-field record-count-distribution-field col", "Select data distribution..."); + ["Uniform", "Exponential", "Normal"].forEach(dist => { + let option = document.createElement("option"); + option.setAttribute("value", dist.toLowerCase()); + option.innerText = dist; + perColumnDistributionSelect.append(option); + }); + + let perColumnOptionsRow = document.createElement("div"); + perColumnOptionsRow.setAttribute("class", "row g-3 m-1 align-items-center"); + perColumnOptionsRow.append(perColumnRadio, perColumnDistributionSelect); + $(perColumnDistributionSelect).selectpicker("val", "uniform"); + + let perColumnDistributionRateParam = createInput(`per-column-distribution-rate-param-${index}`, "Rate Parameter", "form-control input-field record-count-distribution-field", "number", "1.0"); + perColumnDistributionRateParam.setAttribute("min", "0"); + perColumnDistributionRateParam.setAttribute("step", "0.00000001"); + let formFloatingRate = createFormFloating("Rate Parameter", perColumnDistributionRateParam); + perColumnDistributionSelect.addEventListener("change", (event) => { + if (event.target.value === "exponential") { + // add extra input for rate parameter + perColumnOptionsRow.append(formFloatingRate); + } else if (perColumnOptionsRow.contains(formFloatingRate)) { + // check if rate parameter exists, if it does, remove it + perColumnOptionsRow.removeChild(formFloatingRate); + } + }); + + let columnInputRow = document.createElement("div"); + columnInputRow.setAttribute("class", "row g-3 m-1 align-items-center"); + let columnInputHelpDiv = createFormText(perColumnFormFloating.getAttribute("id"), "Choose which column(s) to use for creating multiple records each unique group of values.", "span"); + columnInputHelpDiv.setAttribute("class", "col-6"); + columnInputRow.append(perColumnFormFloating, columnInputHelpDiv); + + let perColumnInnerContainer = document.createElement("div"); + perColumnInnerContainer.setAttribute("class", "card card-body"); + if (index === 1 || perColumnInnerContainer.childElementCount === 0) { //TODO should only put if first task in UI + let perColumnExampleButton = createButton("per-column-example-button", "per-column-example", "btn btn-info", "Example"); + perColumnExampleButton.setAttribute("data-bs-toggle", "modal"); + perColumnExampleButton.setAttribute("data-bs-target", "#perColumnExampleModal"); + let perColumnHelpText = document.createElement("div"); + perColumnHelpText.innerHTML = "Generate multiple records per set of unique column value(s). " + perColumnExampleButton.outerHTML; + perColumnInnerContainer.append(perColumnHelpText); + } + + // TODO when perColumnText is empty, disable checkbox for per column + let perColumnContainer = document.createElement("div"); + perColumnContainer.setAttribute("id", "count-advanced-collapse-" + index); + perColumnContainer.setAttribute("class", "collapse"); + perColumnInnerContainer.append(columnInputRow, perColumnOptionsRow, estimatedRecordCountContainer); + perColumnContainer.append(perColumnInnerContainer); + return perColumnContainer; +} + +function createBaseRecordCountContainer(index) { + let baseRecordCol = createRecordCountInput(index, "base-record-count", "Records", "1000"); + let baseRecordMinInput = createRecordCountInput(index, "min-gen-record-count", "Min", "1000"); + let baseRecordMaxInput = createRecordCountInput(index, "max-gen-record-count", "Max", "2000"); + let baseRecordBetweenContainer = document.createElement("div"); + baseRecordBetweenContainer.setAttribute("class", "row g-1"); + baseRecordBetweenContainer.append(baseRecordMinInput, baseRecordMaxInput); + let baseRecordOptions = [{text: "Records", child: baseRecordCol}, { + text: "Generated records between", + child: baseRecordBetweenContainer + }]; + return createRadioButtons(index, "base-record-count-radio", baseRecordOptions); +} + +function estimateRecordCount(recordCountRow) { + let recordCountSummary = {}; + let baseRecordCheck = $(recordCountRow).find("input.base-record-count-radio:checked").parent().find(".record-count-field"); + let baseRecordCount; + if (baseRecordCheck.length > 1) { + let minBase = Number($(baseRecordCheck).filter("input[aria-label=Min]").val()); + let maxBase = Number($(baseRecordCheck).filter("input[aria-label=Max]").val()); + baseRecordCount = (maxBase + minBase) / 2; + recordCountSummary["recordsMin"] = minBase; + recordCountSummary["recordsMax"] = maxBase; + } else { + baseRecordCount = Number(baseRecordCheck.val()); + recordCountSummary["records"] = baseRecordCount; + } + + let perColumnCheck = $(recordCountRow).find("input.per-column-record-count-radio:checked").parent().find(".record-count-field"); + let perColumnCount; + if (perColumnCheck.length > 1) { + let minPerCol = Number($(perColumnCheck).filter("input[aria-label=Min]").val()); + let maxPerCol = Number($(perColumnCheck).filter("input[aria-label=Max]").val()); + perColumnCount = (maxPerCol + minPerCol) / 2; + recordCountSummary["perColumnRecordsMin"] = minPerCol; + recordCountSummary["perColumnRecordsMax"] = maxPerCol; + } else if (perColumnCheck.length === 1) { + perColumnCount = Number(perColumnCheck.val()); + recordCountSummary["perColumnRecords"] = perColumnCount; + } else { + perColumnCount = 1; + } + if (perColumnCheck.length >= 1) { + let perColumNames = $(recordCountRow).find("[id^=per-column-names]").val(); + recordCountSummary["perColumnNames"] = perColumNames ? perColumNames.split(",") : []; + } + recordCountSummary["perColumnRecordsDistribution"] = $(recordCountRow).find("[id^=per-column-distribution-select]").val(); + recordCountSummary["perColumnRecordsDistributionRateParam"] = $(recordCountRow).find("[id^=per-column-distribution-rate-param]").val(); + + recordCountSummary["estimateRecords"] = baseRecordCount * perColumnCount; + return recordCountSummary; +} + +function createRecordCountInput(index, name, label, value) { + let recordCountInput = createInput(`${name}-${index}`, label, "form-control input-field record-count-field", "number", value); + let radioGroup = name.startsWith("per-column") ? `per-column-count-${index}` : `base-record-count-${index}`; + recordCountInput.setAttribute("radioGroup", radioGroup); + recordCountInput.setAttribute("min", "0"); + return createFormFloating(label, recordCountInput); +} \ No newline at end of file diff --git a/sample/ui/helper-validation.js b/sample/ui/helper-validation.js new file mode 100644 index 00000000..42cd7ba7 --- /dev/null +++ b/sample/ui/helper-validation.js @@ -0,0 +1,234 @@ +/* +Different types of validation: +- Basic column +- Dataset (column names, row count) +- Group by/aggregate +- Upstream +- External source (great expectations) + */ +import { + addItemsToAttributeMenu, + addNewDataTypeAttribute, + camelize, + createButtonWithMenu, + createCloseButton, + createManualContainer, + createNewField, + findNextLevelNodesByClass +} from "./shared.js"; +import {validationTypeOptionsMap} from "./configuration-data.js"; + +export let numValidations = 0; + +export function incValidations() { + numValidations++; +} + +function createGroupByValidationFromPlan(newValidation, validationOpts, validation) { + $(newValidation).find("[aria-label=GroupByColumns]").val(validationOpts.groupByColumns)[0].dispatchEvent(new Event("input")); + // can be nested validations + + if (validation.nested && validation.nested.validations) { + for (let nestedValidation of validation.nested.validations) { + numValidations += 1; + let dataValidationContainer = $(newValidation).find("[id^=data-validation-container]")[0]; + let metadata = Object.create(validationTypeOptionsMap.get("groupBy")[nestedValidation.options["aggType"]]); + metadata["default"] = nestedValidation.options["aggCol"]; + addNewDataTypeAttribute(nestedValidation.options["aggType"], metadata, `groupBy-validation-${numValidations}`, "data-validation-field", dataValidationContainer); + let aggregationRow = $(dataValidationContainer).find(".data-source-validation-container-nested-validation").last().find(".row").first(); + + if (nestedValidation.options) { + for (let [optKey, optVal] of Object.entries(nestedValidation.options)) { + if (optKey !== "aggType" && optKey !== "aggCol") { + createNewValidateAttribute(optKey, "column", optVal, aggregationRow); + } + } + } + } + } +} + +function createNewValidateAttribute(optKey, validationType, optVal, mainContainer) { + numValidations += 1; + let baseKey = optKey; + if (optKey.startsWith("not")) { + baseKey = optKey.charAt(3).toLowerCase() + optKey.slice(4); + } else if (optKey.startsWith("equalOr")) { + baseKey = optKey.charAt(7).toLowerCase() + optKey.slice(8); + } + let baseOptions = Object.create(validationTypeOptionsMap.get(validationType)[baseKey]); + // if it is 'notEqual' or `equalOrLessThan`, need to ensure checkbox is checked + if (baseKey !== optKey) baseOptions.group.checked = "true"; + baseOptions["default"] = optVal; + addNewDataTypeAttribute(baseKey, baseOptions, `data-validation-container-${numValidations}-${optKey}`, "data-validation-field", mainContainer); + document.getElementById(`data-validation-container-${numValidations}-${optKey}`).dispatchEvent(new Event("input")); +} + +async function createValidationsFromDataSource(dataSource, manualValidation) { + for (const validation of dataSource.validations) { + numValidations += 1; + let newValidation = await createNewField(numValidations, "validation"); + $(manualValidation).children(".accordion").append(newValidation); + $(newValidation).find("select[class~=validation-type]").selectpicker("val", validation.type)[0].dispatchEvent(new Event("change")); + let validationOpts = validation.options; + let mainContainer = $(newValidation).find("[id^=data-validation-container]")[0]; + + if (validation.type === "column" && validationOpts.column) { + $(newValidation).find("[aria-label=Field]").val(validationOpts.column)[0].dispatchEvent(new Event("input")); + } else if (validation.type === "groupBy" && validationOpts.groupByColumns) { + createGroupByValidationFromPlan(newValidation, validationOpts, validation); + } else if (validation.type === "upstream" && validationOpts.upstreamTaskName) { + $(newValidation).find("[aria-label=UpstreamTaskName]").val(validationOpts.upstreamTaskName)[0].dispatchEvent(new Event("input")); + // can be nested validations + + if (validation.nested && validation.nested.validations) { + let nestedManualValidation = $(newValidation).find(".data-source-validation-container-nested-validation").first(); + await createValidationsFromDataSource(validation.nested, nestedManualValidation); + } + } + //otherwise it is column name validation which doesn't have any default options + + for (const [optKey, optVal] of Object.entries(validationOpts)) { + if (optKey !== "groupByColumns" && optKey !== "column" && optKey !== "upstreamTaskName") { + createNewValidateAttribute(optKey, validation.type, optVal, mainContainer); + } + } + } +} + +export async function createValidationFromPlan(dataSource, newDataSource) { + if (dataSource.validations && dataSource.validations.length > 0) { + let manualValidation = createManualContainer(numValidations, "validation"); + let dataSourceGenContainer = $(newDataSource).find("#data-source-validation-config-container"); + dataSourceGenContainer.append(manualValidation); + $(dataSourceGenContainer).find("[id^=manual-validation-checkbox]").prop("checked", true); + + await createValidationsFromDataSource(dataSource, manualValidation); + } +} + +function getValidationsFromContainer(dataSourceValidations, visitedValidations) { + let dataValidationContainers = findNextLevelNodesByClass($(dataSourceValidations), ["data-validation-container"]); + return dataValidationContainers.map(validation => { + let validationAttributes = findNextLevelNodesByClass($(validation), "data-validation-field", ["card", "data-validation-container", "data-source-validation-container-nested-validation"]); + + return validationAttributes + .map(attr => attr.getAttribute("aria-label") ? attr : $(attr).find(".data-validation-field")[0]) + .reduce((options, attr) => { + let validationId = attr.getAttribute("id"); + if (!visitedValidations.has(validationId)) { + visitedValidations.add(validationId); + let label = camelize(attr.getAttribute("aria-label")); + let fieldValue = attr.value; + if (label === "type" && (fieldValue === "upstream" || fieldValue === "groupBy")) { + // nested fields can be defined for upstream and groupBy + let nestedValidations = Array.from(validation.querySelectorAll(".data-source-validation-container-nested-validation").values()); + let allNestedValidations = []; + for (let nestedValidation of nestedValidations) { + let currNested = getValidationsFromContainer(nestedValidation, visitedValidations); + allNestedValidations.push(currNested); + } + options[label] = fieldValue; + options["nested"] = {validations: allNestedValidations.flat().filter(o => !jQuery.isEmptyObject(o))}; + } else if (label === "sum" || label === "average" || label === "max" || label === "min" || label === "standardDeviation" || label === "count") { + // then we need to set the type as column and set the column name + options["type"] = "column"; + let currOpts = (options["options"] || new Map()); + currOpts.set("aggType", label); + currOpts.set("aggCol", fieldValue); + options["options"] = currOpts; + } else if (label === "name" || label === "type") { + options[label] = fieldValue; + } else { + let currOpts = (options["options"] || new Map()); + // need to check if it is part of input group + let checkbox = $(attr).closest(".input-group").find(".form-check-input"); + if (checkbox && checkbox.length > 0) { + if (checkbox[0].checked) { + // then we need to get the opposite of the label (i.e. equal -> notEqual) + switch (label) { + case "equal": + case "contains": + case "between": + case "in": + case "matches": + case "startsWith": + case "endsWith": + case "null": + case "size": + let oppositeLabel = "not" + label.charAt(0).toUpperCase() + label.slice(1); + currOpts.set(oppositeLabel, fieldValue); + break; + case "lessThan": + case "greaterThan": + case "lessThanSize": + case "greaterThanSize": + let equalLabel = "equalOr" + label.charAt(0).toUpperCase() + label.slice(1); + currOpts.set(equalLabel, fieldValue); + break; + } + } else { + currOpts.set(label, fieldValue); + } + } else { + currOpts.set(label, fieldValue); + } + options["options"] = currOpts; + } + return options; + } else { + return {}; + } + }, {}); + }); +} + +export function getValidations(dataSource, currentDataSource) { + // get top level validation container + let dataSourceValidations = dataSource.querySelector(".data-source-validation-container"); + let visitedValidations = new Set(); + let dataValidationsWithAttributes = getValidationsFromContainer(dataSourceValidations, visitedValidations); + currentDataSource["validations"] = Object.values(dataValidationsWithAttributes); +} + +export function addColumnValidationBlock(newAttributeRow, mainContainer, attributeContainerId, inputClass) { + numValidations += 1; + let cardDiv = document.createElement("div"); + cardDiv.setAttribute("class", "card m-1 data-source-validation-container-nested-validation"); + let cardBody = document.createElement("div"); + cardBody.setAttribute("class", "card-body data-validation-container"); + cardBody.append(newAttributeRow); + cardDiv.append(cardBody); + mainContainer.append(cardDiv); + + // column validation applied after group by + let {buttonWithMenuDiv, addAttributeButton, menu} = createButtonWithMenu(mainContainer); + addItemsToAttributeMenu(validationTypeOptionsMap.get("column"), menu); + newAttributeRow.append(buttonWithMenuDiv); + let closeButton = createCloseButton(cardDiv); + newAttributeRow.append(closeButton); + menu.addEventListener("click", (event) => { + let attribute = event.target.getAttribute("value"); + // check if attribute already exists + if ($(newAttributeRow).find(`[aria-label=${attribute}]`).length === 0) { + let validationMetadata = validationTypeOptionsMap.get("column")[attribute]; + addNewDataTypeAttribute(attribute, validationMetadata, `${attributeContainerId}-${attribute}`, inputClass, newAttributeRow); + } + }); +} + +export async function updateAccordionHeaderOnInputAndSelect(validationContainerHeadRow, accordionButton) { + let defaultAttribute = $(validationContainerHeadRow).find(".default-attribute")[0]; + let defaultValidationInput = $(defaultAttribute).find(".input-field"); + let input = defaultValidationInput.length > 0 ? defaultValidationInput[0] : $(defaultValidationInput).find("select")[0]; + if (input) { + input.addEventListener("input", (event) => { + if (accordionButton.innerText.indexOf("-") === -1) { + accordionButton.innerText = `${accordionButton.innerText} - ${event.target.value}`; + } else { + let selectText = accordionButton.innerText.split("-")[0]; + accordionButton.innerText = `${selectText} - ${event.target.value}`; + } + }); + } +} diff --git a/sample/ui/history/history.html b/sample/ui/history/history.html new file mode 100644 index 00000000..6a8e38d4 --- /dev/null +++ b/sample/ui/history/history.html @@ -0,0 +1,38 @@ + + + + + + + Data Caterer - History + + + + + + + + + +
+ + Data Caterer +
+ +

History

+
+
+
+ + + + + + + diff --git a/sample/ui/history/history.js b/sample/ui/history/history.js new file mode 100644 index 00000000..0eddc2da --- /dev/null +++ b/sample/ui/history/history.js @@ -0,0 +1,101 @@ +import {createAccordionItem, createButton, createButtonGroup, createToast} from "../shared.js"; + +let historyContainer = document.getElementById("history-container"); +const tableHeaders = [{ + field: "status", + title: "Status", + sortable: true, +}, { + field: "id", + title: "Run ID", + sortable: true, +}, { + field: "createdTs", + title: "Created Time", + sortable: true, +}, { + field: "timeTaken", + title: "Time Taken (s)", + sortable: true, +}, { + field: "generationSummary", + title: "Data Generated", +}, { + field: "validationSummary", + title: "Data Validated", +}, { + field: "failedReason", + title: "Fail Reason", +}, { + field: "reportLink", + title: "Report", +}]; + +Promise.resolve({"planExecutionByPlan":[{"executions":[{"id":"1cbd6ab2-a59e-4e60-b345-ee9e703a9198","runs":[{"createdTs":"2024-03-15T17:53:12+08:00","failedReason":"","generationSummary":[[""]],"id":"1cbd6ab2-a59e-4e60-b345-ee9e703a9198","name":"json-records","reportLink":"","runBy":"admin","status":"started","timeTaken":"0","updatedBy":"admin","updatedTs":"2024-03-15T17:53:12+08:00","validationSummary":[[""]]},{"createdTs":"2024-03-15T17:53:12+08:00","failedReason":"","generationSummary":[[""]],"id":"1cbd6ab2-a59e-4e60-b345-ee9e703a9198","name":"json-records","reportLink":"","runBy":"admin","status":"parsed_plan","timeTaken":"0","updatedBy":"admin","updatedTs":"2024-03-15T17:53:12+08:00","validationSummary":[[""]]},{"createdTs":"2024-03-15T17:53:12+08:00","failedReason":"","generationSummary":[[""]],"id":"1cbd6ab2-a59e-4e60-b345-ee9e703a9198","name":"json-records","reportLink":"","runBy":"admin","status":"finished","timeTaken":"10","updatedBy":"admin","updatedTs":"2024-03-15T17:53:23+08:00","validationSummary":[]}]},{"id":"7b59a8db-75f4-40de-8d80-8daab0b47b58","runs":[{"createdTs":"2024-03-15T19:46:14+08:00","failedReason":"","generationSummary":[[""]],"id":"7b59a8db-75f4-40de-8d80-8daab0b47b58","name":"json-records","reportLink":"","runBy":"admin","status":"started","timeTaken":"0","updatedBy":"admin","updatedTs":"2024-03-15T19:46:14+08:00","validationSummary":[[""]]},{"createdTs":"2024-03-15T19:46:14+08:00","failedReason":"","generationSummary":[[""]],"id":"7b59a8db-75f4-40de-8d80-8daab0b47b58","name":"json-records","reportLink":"","runBy":"admin","status":"parsed_plan","timeTaken":"0","updatedBy":"admin","updatedTs":"2024-03-15T19:46:14+08:00","validationSummary":[[""]]},{"createdTs":"2024-03-15T19:46:14+08:00","failedReason":"","generationSummary":[["my-json","json","✅","1000"],["my-csv","csv","✅","1000"]],"id":"7b59a8db-75f4-40de-8d80-8daab0b47b58","name":"json-records","reportLink":"/Applications/data-caterer/report","runBy":"admin","status":"finished","timeTaken":"27","updatedBy":"admin","updatedTs":"2024-03-15T19:46:41+08:00","validationSummary":[]}]},{"id":"ef223a97-3057-4f8e-bfa5-09545365de29","runs":[{"createdTs":"2024-03-15T16:28:44+08:00","failedReason":"","generationSummary":[[""]],"id":"ef223a97-3057-4f8e-bfa5-09545365de29","name":"json-records","reportLink":"","runBy":"admin","status":"started","timeTaken":"0","updatedBy":"admin","updatedTs":"2024-03-15T16:28:44+08:00","validationSummary":[[""]]},{"createdTs":"2024-03-15T16:28:44+08:00","failedReason":"","generationSummary":[[""]],"id":"ef223a97-3057-4f8e-bfa5-09545365de29","name":"json-records","reportLink":"","runBy":"admin","status":"parsed_plan","timeTaken":"0","updatedBy":"admin","updatedTs":"2024-03-15T16:28:44+08:00","validationSummary":[[""]]},{"createdTs":"2024-03-15T16:28:44+08:00","failedReason":"","generationSummary":[["my-json","json","✅","1000"],["my-csv","csv","✅","1000"]],"id":"ef223a97-3057-4f8e-bfa5-09545365de29","name":"json-records","reportLink":"","runBy":"admin","status":"finished","timeTaken":"19","updatedBy":"admin","updatedTs":"2024-03-15T16:29:09+08:00","validationSummary":[]}]},{"id":"6369c193-fdd8-42a2-b607-46db82f33628","runs":[{"createdTs":"2024-03-18T13:27:51+08:00","failedReason":"","generationSummary":[[""]],"id":"6369c193-fdd8-42a2-b607-46db82f33628","name":"json-records","reportLink":"","runBy":"admin","status":"started","timeTaken":"0","updatedBy":"admin","updatedTs":"2024-03-18T13:27:51+08:00","validationSummary":[[""]]},{"createdTs":"2024-03-18T13:27:51+08:00","failedReason":"","generationSummary":[[""]],"id":"6369c193-fdd8-42a2-b607-46db82f33628","name":"json-records","reportLink":"","runBy":"admin","status":"parsed_plan","timeTaken":"0","updatedBy":"admin","updatedTs":"2024-03-18T13:27:51+08:00","validationSummary":[[""]]},{"createdTs":"2024-03-18T13:27:51+08:00","failedReason":"","generationSummary":[["my-json","json","✅","1000"],["my-csv","csv","✅","1000"]],"id":"6369c193-fdd8-42a2-b607-46db82f33628","name":"json-records","reportLink":"/Applications/data-caterer/report/6369c193-fdd8-42a2-b607-46db82f33628","runBy":"admin","status":"finished","timeTaken":"39","updatedBy":"admin","updatedTs":"2024-03-18T13:28:31+08:00","validationSummary":[["default_validation","Validation 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size","generationSummary":[[""]],"id":"ecef80fd-c987-408b-8e4c-d3f9799c8128","name":"json-records","reportLink":"","runBy":"admin","status":"failed","timeTaken":"0","updatedBy":"admin","updatedTs":"2024-03-15T17:32:09+08:00","validationSummary":[[""]]}]},{"id":"2f33f549-cf77-4dd1-95c7-60e0ff020343","runs":[{"createdTs":"2024-03-18T13:33:10+08:00","failedReason":"","generationSummary":[[""]],"id":"2f33f549-cf77-4dd1-95c7-60e0ff020343","name":"json-records","reportLink":"","runBy":"admin","status":"started","timeTaken":"0","updatedBy":"admin","updatedTs":"2024-03-18T13:33:10+08:00","validationSummary":[[""]]},{"createdTs":"2024-03-18T13:33:10+08:00","failedReason":"","generationSummary":[[""]],"id":"2f33f549-cf77-4dd1-95c7-60e0ff020343","name":"json-records","reportLink":"","runBy":"admin","status":"parsed_plan","timeTaken":"0","updatedBy":"admin","updatedTs":"2024-03-18T13:33:10+08:00","validationSummary":[[""]]},{"createdTs":"2024-03-18T13:33:10+08:00","failedReason":"","generationSummary":[["my-json","json","✅","1000"],["my-csv","csv","✅","1000"]],"id":"2f33f549-cf77-4dd1-95c7-60e0ff020343","name":"json-records","reportLink":"/Applications/data-caterer/report/2f33f549-cf77-4dd1-95c7-60e0ff020343","runBy":"admin","status":"finished","timeTaken":"35","updatedBy":"admin","updatedTs":"2024-03-18T13:33:45+08:00","validationSummary":[["default_validation","Validation of data sources after generating data","❌","1/2 (50.00%)"]]}]},{"id":"95d15958-be78-4a72-abfe-5f17c02b3334","runs":[{"createdTs":"2024-03-15T17:23:01+08:00","failedReason":"","generationSummary":[[""]],"id":"95d15958-be78-4a72-abfe-5f17c02b3334","name":"json-records","reportLink":"","runBy":"admin","status":"started","timeTaken":"0","updatedBy":"admin","updatedTs":"2024-03-15T17:23:01+08:00","validationSummary":[[""]]},{"createdTs":"2024-03-15T17:23:01+08:00","failedReason":"","generationSummary":[[""]],"id":"95d15958-be78-4a72-abfe-5f17c02b3334","name":"json-records","reportLink":"","runBy":"admin","status":"parsed_plan","timeTaken":"0","updatedBy":"admin","updatedTs":"2024-03-15T17:23:02+08:00","validationSummary":[[""]]}]},{"id":"eebabc1f-9fe9-453d-9733-2191eaecf864","runs":[{"createdTs":"2024-03-15T16:33:35+08:00","failedReason":"","generationSummary":[[""]],"id":"eebabc1f-9fe9-453d-9733-2191eaecf864","name":"json-records","reportLink":"","runBy":"admin","status":"started","timeTaken":"0","updatedBy":"admin","updatedTs":"2024-03-15T16:33:35+08:00","validationSummary":[[""]]},{"createdTs":"2024-03-15T16:33:35+08:00","failedReason":"","generationSummary":[[""]],"id":"eebabc1f-9fe9-453d-9733-2191eaecf864","name":"json-records","reportLink":"","runBy":"admin","status":"parsed_plan","timeTaken":"0","updatedBy":"admin","updatedTs":"2024-03-15T16:33:35+08:00","validationSummary":[[""]]},{"createdTs":"2024-03-15T16:33:35+08:00","failedReason":"","generationSummary":[["my-json","json","✅","1000"],["my-csv","csv","✅","1000"]],"id":"eebabc1f-9fe9-453d-9733-2191eaecf864","name":"json-records","reportLink":"","runBy":"admin","status":"finished","timeTaken":"24","updatedBy":"admin","updatedTs":"2024-03-15T16:33:59+08:00","validationSummary":[]}]},{"id":"53a11168-ede3-40c2-912c-379b3fb42270","runs":[{"createdTs":"2024-03-17T15:31:02+08:00","failedReason":"","generationSummary":[[""]],"id":"53a11168-ede3-40c2-912c-379b3fb42270","name":"json-records","reportLink":"","runBy":"admin","status":"started","timeTaken":"0","updatedBy":"admin","updatedTs":"2024-03-17T15:31:02+08:00","validationSummary":[[""]]}]},{"id":"61a59ace-1be1-408b-ba84-504e5efe4d77","runs":[{"createdTs":"2024-03-18T13:32:38+08:00","failedReason":"","generationSummary":[[""]],"id":"61a59ace-1be1-408b-ba84-504e5efe4d77","name":"json-records","reportLink":"","runBy":"admin","status":"started","timeTaken":"0","updatedBy":"admin","updatedTs":"2024-03-18T13:32:38+08:00","validationSummary":[[""]]},{"createdTs":"2024-03-18T13:32:38+08:00","failedReason":"","generationSummary":[[""]],"id":"61a59ace-1be1-408b-ba84-504e5efe4d77","name":"json-records","reportLink":"","runBy":"admin","status":"parsed_plan","timeTaken":"0","updatedBy":"admin","updatedTs":"2024-03-18T13:32:38+08:00","validationSummary":[[""]]},{"createdTs":"2024-03-18T13:32:38+08:00","failedReason":"Cannot call methods on a stopped SparkContext. This stopped SparkContext was created at: org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:1093) io.github.datacatering.datacaterer.core.util.SparkProvider.getSparkSession(SparkProvider.scala:11) io.github.datacatering.datacaterer.core.plan.PlanProcessor$.executePlanWithConfig(PlanProcessor.scala:51) io.github.datacatering.datacaterer.core.plan.PlanProcessor$.executePlan(PlanProcessor.scala:42)","generationSummary":[[""]],"id":"61a59ace-1be1-408b-ba84-504e5efe4d77","name":"json-records","reportLink":"","runBy":"admin","status":"failed","timeTaken":"19","updatedBy":"admin","updatedTs":"2024-03-18T13:32:57+08:00","validationSummary":[[""]]}]},{"id":"07ed001d-736d-4e17-ad8f-353764afa92a","runs":[{"createdTs":"2024-03-15T19:42:25+08:00","failedReason":"","generationSummary":[[""]],"id":"07ed001d-736d-4e17-ad8f-353764afa92a","name":"json-records","reportLink":"","runBy":"admin","status":"started","timeTaken":"0","updatedBy":"admin","updatedTs":"2024-03-15T19:42:25+08:00","validationSummary":[[""]]},{"createdTs":"2024-03-15T19:42:25+08:00","failedReason":"","generationSummary":[[""]],"id":"07ed001d-736d-4e17-ad8f-353764afa92a","name":"json-records","reportLink":"","runBy":"admin","status":"parsed_plan","timeTaken":"0","updatedBy":"admin","updatedTs":"2024-03-15T19:42:25+08:00","validationSummary":[[""]]},{"createdTs":"2024-03-15T19:42:25+08:00","failedReason":"","generationSummary":[[""]],"id":"07ed001d-736d-4e17-ad8f-353764afa92a","name":"json-records","reportLink":"/Applications/data-caterer/report","runBy":"admin","status":"finished","timeTaken":"23","updatedBy":"admin","updatedTs":"2024-03-15T19:42:48+08:00","validationSummary":[]}]}],"name":"json-records"}]}) + .then(body => { + let planHistories = Object.values(body.planExecutionByPlan); + for (const planHistory of planHistories) { + const planName = planHistory.name; + const planHistoryById = planHistory.executions; + const planRunsByIdTableId = planName + "-runs-table"; + + let planRunsByIdTable = document.createElement("table"); + planRunsByIdTable.setAttribute("id", planRunsByIdTableId + "-element"); + planRunsByIdTable.setAttribute("data-toggle", "table"); + planRunsByIdTable.setAttribute("data-sort-name", "createdTs"); + planRunsByIdTable.setAttribute("data-sort-order", "desc"); + const planHistoryByIdValues = Object.values(planHistoryById); + const lastUpdatePerId = []; + + for (const runUpdatesById of planHistoryByIdValues) { + let runUpdates = runUpdatesById.runs; + let latestRunUpdate = runUpdates[runUpdates.length - 1]; + latestRunUpdate["createdTs"] = latestRunUpdate["createdTs"].replace("T", " ").replace(/\+.*/, ""); + latestRunUpdate["updatedTs"] = latestRunUpdate["updatedTs"].replace("T", " ").replace(/\+.*/, ""); + let reportHref = `https://data.catering/sample/report/html/`; + latestRunUpdate["reportLink"] = latestRunUpdate["reportLink"] === "" ? "" : `Report`; + let generationSummary = Array.from(latestRunUpdate["generationSummary"]) + .filter(g => g.length > 3 && g[0] !== "") + .map(g => `${g[0]} -> ${g[3]}`) + .join("
"); + latestRunUpdate["generationSummary"] = generationSummary.length > 0 ? generationSummary : ""; + let validationSummary = Array.from(latestRunUpdate["validationSummary"]) + .filter(v => v.length > 3 && v[0] !== "") + .map(v => v[3]) + .join("
"); + latestRunUpdate["validationSummary"] = validationSummary.length > 0 ? validationSummary : ""; + latestRunUpdate["failedReason"] = latestRunUpdate["failedReason"].length > 500 ? latestRunUpdate["failedReason"].slice(0, 500) : latestRunUpdate["failedReason"]; + lastUpdatePerId.push(latestRunUpdate); + } + + let planHistoryContainer = createAccordionItem(planName, planName, "", planRunsByIdTable); + + let editButton = createButton(`plan-edit-${planRunsByIdTableId}`, "Plan edit", "btn btn-primary", "Edit"); + editButton.addEventListener("click", function() { + location.href = `http://localhost:9898/?plan-name=${planName}`; + }); + let buttonGroup = createButtonGroup(editButton); + let header = planHistoryContainer.querySelector(".accordion-header"); + let divContainer = document.createElement("div"); + divContainer.setAttribute("class", "d-flex align-items-center"); + divContainer.append(header.firstChild, buttonGroup); + header.replaceChildren(divContainer); + historyContainer.append(planHistoryContainer); + + $(planRunsByIdTable).bootstrapTable({ + sortStable: true, + columns: tableHeaders, + data: Object.values(lastUpdatePerId), + rowStyle: function (row, index) { + if (row["status"] === "failed") { + return { classes: "table-danger" } + } else if (row["status"] === "finished") { + return { classes: "table-success" } + } else { + return { classes: "table-warning" } + } + } + }); + } + }); + diff --git a/sample/ui/index.html b/sample/ui/index.html new file mode 100644 index 00000000..fbd566b1 --- /dev/null +++ b/sample/ui/index.html @@ -0,0 +1,279 @@ + + + + + + + Data Caterer + + + + + + + + + + +
+ + Data Caterer +
+ +

Create new plan

+
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+ + +
Plan name required
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+ +

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+ Define relationships between columns across any task to ensure values remain consistent. + +
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+ + + + + + + \ No newline at end of file diff --git a/sample/ui/index.js b/sample/ui/index.js new file mode 100644 index 00000000..6e1c02b5 --- /dev/null +++ b/sample/ui/index.js @@ -0,0 +1,379 @@ +// window.onerror = function myErrorHandler(errorMsg, url, lineNumber) { +// console.log(errorMsg); +// return false; +// } +// window.addEventListener("error", function (e) { +// e.preventDefault(); +// console.log(e); +// return false; +// }); +// window.addEventListener("unhandledrejection", function (e) { +// e.preventDefault(); +// console.log(e); +// }); + +import { + createAccordionItem, + createCloseButton, + createFieldValidationCheck, + createFormFloating, + createIconWithConnectionTooltip, + createInput, + createManualContainer, + createSelect, + createToast, + executePlan, + getDataConnectionsAndAddToSelect, + manualContainerDetails, + wait +} from "./shared.js"; +import {createForeignKeys, createForeignKeysFromPlan, getForeignKeys} from "./helper-foreign-keys.js"; +import { + createConfiguration, + createConfigurationFromPlan, + createNewConfigRow, + getConfiguration +} from "./helper-configuration.js"; +import {createAutoSchema, createGenerationElements, getGeneration} from "./helper-generation.js"; +import {createValidationFromPlan, getValidations} from "./helper-validation.js"; +import {createCountElementsFromPlan, createRecordCount, getRecordCount} from "./helper-record-count.js"; +import {configurationOptionsMap, reportConfigKeys} from "./configuration-data.js"; + +const addTaskButton = document.getElementById("add-task-button"); +const tasksDiv = document.getElementById("tasks-details-body"); +const foreignKeysDiv = document.getElementById("foreign-keys-details-body"); +const configurationDiv = document.getElementById("configuration-details-body"); +const expandAllButton = document.getElementById("expand-all-button"); +const collapseAllButton = document.getElementById("collapse-all-button"); +const relationshipExampleSwitch = document.getElementById("showRelationshipExample"); +const perColumnExampleSwitch = document.getElementById("showPerColumnExample"); +const planName = document.getElementById("plan-name"); +let numDataSources = 1; + +tasksDiv.append(await createDataSourceForPlan(numDataSources)); +foreignKeysDiv.append(createForeignKeys()); +configurationDiv.append(createConfiguration()); +createFieldValidationCheck(planName); +addTaskButton.addEventListener("click", async function () { + numDataSources += 1; + let divider = document.createElement("hr"); + let newDataSource = await createDataSourceForPlan(numDataSources, divider); + tasksDiv.append(newDataSource); +}); +expandAllButton.addEventListener("click", function () { + $(document).find(".accordion-button.collapsed").click(); +}); +collapseAllButton.addEventListener("click", function () { + $(document).find(".accordion-button:not(.collapsed)").click(); +}); +relationshipExampleSwitch.addEventListener("click", function () { + let txn1 = document.getElementById("with-relationship-example-txn-1"); + let txn2 = document.getElementById("with-relationship-example-txn-2"); + if (txn1.classList.contains("example-1-enabled")) { + txn1.innerText = "ACC951"; + txn2.innerText = "ACC159"; + txn1.classList.replace("example-1-enabled", "example-1-disabled"); + txn2.classList.replace("example-2-enabled", "example-2-disabled"); + } else { + txn1.innerText = "ACC123"; + txn2.innerText = "ACC789"; + txn1.classList.replace("example-1-disabled", "example-1-enabled"); + txn2.classList.replace("example-2-disabled", "example-2-enabled"); + } +}); +perColumnExampleSwitch.addEventListener("click", function () { + let table = $("#with-per-unique-column-values-example-transactions"); + let colIndex = [1, 2, 4, 5]; + if ($(perColumnExampleSwitch).is(":checked")) { + colIndex.forEach(i => $(table).bootstrapTable("showRow", {index: i})); + } else { + colIndex.forEach(i => $(table).bootstrapTable("hideRow", {index: i})); + } +}); + +//create row with data source name and checkbox elements for generation and validation +async function createDataSourceForPlan(index, divider) { + let dataSourceRow = document.createElement("div"); + dataSourceRow.setAttribute("class", "mb-3"); + let closeButton = createCloseButton(dataSourceRow); + let dataSourceConfig = await createDataSourceConfiguration(index, closeButton, divider); + dataSourceRow.append(dataSourceConfig); + return dataSourceRow; +} + +function createDataConfigElement(index, name) { + const nameCapitalize = name.charAt(0).toUpperCase() + name.slice(1); + let dataConfigContainer = document.createElement("div"); + dataConfigContainer.setAttribute("id", `data-source-${name}-config-container`); + dataConfigContainer.setAttribute("class", "mt-1"); + + let checkboxOptions = ["auto", "auto-from-metadata-source", "manual"]; + for (let checkboxOption of checkboxOptions) { + let formCheck = document.createElement("div"); + formCheck.setAttribute("class", `form-check ${checkboxOption}`); + let checkboxInput = document.createElement("input"); + let checkboxId = `${checkboxOption}-${name}-checkbox-${index}`; + checkboxInput.setAttribute("class", "form-check-input"); + checkboxInput.setAttribute("type", "checkbox"); + checkboxInput.setAttribute("value", checkboxOption); + checkboxInput.setAttribute("name", `data-${name}-conf-${index}`); + checkboxInput.setAttribute("id", checkboxId); + + let label = document.createElement("label"); + label.setAttribute("class", "form-check-label"); + label.setAttribute("for", checkboxId); + label.innerText = checkboxOption.charAt(0).toUpperCase() + checkboxOption.replaceAll("-", " ").slice(1); + + formCheck.append(checkboxInput, label); + dataConfigContainer.append(formCheck); + addDataConfigCheckboxListener(index, checkboxInput, name); + } + + // generation accordion item + let accordionItem = createAccordionItem(`${index}-${name}`, nameCapitalize, "", dataConfigContainer); + // if generation, then add in record count + if (name === "generation") { + dataConfigContainer.append(createRecordCount(index)); + } + + return accordionItem; +} + +function addDataConfigCheckboxListener(index, element, name) { + let configContainer = element.parentElement.parentElement; + let autoOrManualValue = element.getAttribute("value"); + element.addEventListener("change", async (event) => { + await checkboxListenerDisplay(index, event, configContainer, name, autoOrManualValue); + }); +} + +async function checkboxListenerDisplay(index, event, configContainer, name, autoOrManualValue) { + let querySelector; + let newElement; + + function setEnableAutoGeneratePlanAndTasks() { + //set auto generate plan and tasks to true in advanced config + if (event.target.checked) { + $(document).find("[configuration=enableGeneratePlanAndTasks]").prop("checked", true); + } else { + $(document).find("[configuration=enableGeneratePlanAndTasks]").prop("checked", false); + } + } + + if (autoOrManualValue === "manual") { + let details = manualContainerDetails.get(name); + querySelector = `#${details["containerName"]}-${index}`; + newElement = createManualContainer(index, name); + } else if (autoOrManualValue === "auto-from-metadata-source") { + querySelector = `#data-source-auto-schema-container-${index}`; + newElement = await createAutoSchema(index); + } else { + querySelector = "unknown"; + setEnableAutoGeneratePlanAndTasks(); + } + let schemaContainer = configContainer.querySelector(querySelector); + + if (event.target.checked) { + if (schemaContainer === null && newElement) { + if (name === "generation" && autoOrManualValue === "manual") { + configContainer.insertBefore(newElement, configContainer.lastElementChild); + } else { + $(configContainer).find(".manual").after(newElement); + } + } else if (schemaContainer !== null) { + schemaContainer.style.display = "inherit"; + } + } else { + if (schemaContainer !== null) { + schemaContainer.style.display = "none"; + } + } +} + +async function createDataConnectionInput(index) { + let baseTaskDiv = document.createElement("div"); + baseTaskDiv.setAttribute("class", "row g-2 align-items-center"); + let taskNameInput = createInput(`task-name-${index}`, "Task name", "form-control input-field task-name-field", "text", `task-${index}`); + taskNameInput.setAttribute("required", ""); + createFieldValidationCheck(taskNameInput); + let taskNameFormFloating = createFormFloating("Task name", taskNameInput); + + let dataConnectionSelect = createSelect(`data-source-connection-${index}`, "Data source", "selectpicker form-control input-field data-connection-name", "Select data source..."); + let dataConnectionCol = document.createElement("div"); + dataConnectionCol.setAttribute("class", "col"); + dataConnectionCol.append(dataConnectionSelect); + + let iconDiv = createIconWithConnectionTooltip(dataConnectionSelect); + let iconCol = document.createElement("div"); + iconCol.setAttribute("class", "col-md-auto"); + iconCol.append(iconDiv); + + // let inputGroup = createInputGroup(dataConnectionSelect, iconDiv, "col"); + // $(inputGroup).find(".input-group").addClass("align-items-center"); + baseTaskDiv.append(taskNameFormFloating, dataConnectionCol, iconCol); + + return await getDataConnectionsAndAddToSelect(dataConnectionSelect, baseTaskDiv, "dataSource"); +} + +/* +Will contain: +- Data generation: auto, manual + - Record count: total, per column, generated +- Validation: auto, manual + */ +async function createDataSourceConfiguration(index, closeButton, divider) { + let divContainer = document.createElement("div"); + divContainer.setAttribute("id", "data-source-config-container-" + index); + divContainer.setAttribute("class", "data-source-config-container"); + let dataConnectionFormFloating = await createDataConnectionInput(index); + let dataConfigAccordion = document.createElement("div"); + dataConfigAccordion.setAttribute("class", "accordion mt-2"); + let dataGenConfigContainer = createDataConfigElement(index, "generation"); + let dataValidConfigContainer = createDataConfigElement(index, "validation"); + + dataConfigAccordion.append(dataGenConfigContainer, dataValidConfigContainer); + if (divider) { + divContainer.append(divider); + } + dataConnectionFormFloating.append(closeButton); + divContainer.append(dataConnectionFormFloating, dataConfigAccordion); + return divContainer; +} + +function createReportConfiguration() { + let reportDetailsBody = document.getElementById("report-details-body"); + let configOptionsContainer = document.createElement("div"); + configOptionsContainer.setAttribute("class", "m-1 configuration-options-container"); + reportDetailsBody.append(configOptionsContainer); + for (let [idx, entry] of Object.entries(reportConfigKeys)) { + let configRow = createNewConfigRow(entry[0], entry[1], configurationOptionsMap.get(entry[0])[entry[1]]); + let inputVal = $(configRow).find("input, select")[0]; + if (inputVal) { + inputVal.id = inputVal.id + "-report"; + } + configOptionsContainer.append(configRow); + } +} + +createReportConfiguration(); +submitForm(); +savePlan(); +deleteDataRun(); + +function getPlanDetails(form) { + let planName = form.querySelector("#plan-name").value; + let allDataSources = form.querySelectorAll(".data-source-config-container"); + const runId = crypto.randomUUID(); + let allUserInputs = []; + for (let dataSource of allDataSources) { + let currentDataSource = {}; + // get data connection name + currentDataSource["name"] = $(dataSource).find("select[class~=data-connection-name]").val(); + currentDataSource["taskName"] = dataSource.querySelector(".task-name-field").value; + + getGeneration(dataSource, currentDataSource); + getValidations(dataSource, currentDataSource); + getRecordCount(dataSource, currentDataSource); + allUserInputs.push(currentDataSource); + } + + let mappedForeignKeys = getForeignKeys(); + let mappedConfiguration = getConfiguration(); + + const requestBody = { + name: planName, + id: runId, + dataSources: allUserInputs, + foreignKeys: mappedForeignKeys, + configuration: mappedConfiguration + }; + return {planName, runId, requestBody}; +} + +function checkFormValidity(form) { + expandAllButton.dispatchEvent(new Event("click")); + let isValid = form.checkValidity(); + if (isValid) { + wait(500).then(r => collapseAllButton.dispatchEvent(new Event("click"))); + return true; + } else { + form.reportValidity(); + return false; + } +} + +function getPlanDetailsAndRun(form) { + // collect all the user inputs + let {planName, runId, requestBody} = getPlanDetails(form); + console.log(JSON.stringify(requestBody)); + executePlan(requestBody, planName, runId); +} + +function submitForm() { + let form = document.getElementById("plan-form"); + let submitPlanButton = document.getElementById("submit-plan"); + submitPlanButton.addEventListener("click", function () { + let isValidForm = checkFormValidity(form); + if (isValidForm) { + getPlanDetailsAndRun(form); + } + }); +} + +function deleteDataRun() { + let form = document.getElementById("plan-form"); + let deleteDataButton = document.getElementById("delete-data"); + deleteDataButton.addEventListener("click", function () { + let isValidForm = checkFormValidity(form); + if (isValidForm) { + let {planName, runId, requestBody} = getPlanDetails(form); + executePlan(requestBody, planName, runId, "delete"); + } + }); +} + +function savePlan() { + let savePlanButton = document.getElementById("save-plan"); + savePlanButton.addEventListener("click", function () { + let form = document.getElementById("plan-form"); + let {planName, requestBody} = getPlanDetails(form); + console.log(JSON.stringify(requestBody)); + Promise.resolve() + .then(resp => { + if (resp.includes("fail")) { + createToast(planName, `Plan ${planName} save failed!`, "fail"); + } else { + createToast(planName, `Plan ${planName} saved.`, "success"); + } + }) + }); +} + +// check if sent over from edit plan with plan-name +const currUrlParams = window.location.search.substring(1); + +if (currUrlParams.includes("plan-name=")) { + // then get the plan details and fill in the form + let planName = currUrlParams.substring(currUrlParams.indexOf("=") + 1); + await Promise.resolve({"configuration":{"alert":{"slackChannels":"","slackToken":""},"flag":{"enableUniqueCheck":"false","enableGeneratePlanAndTasks":"false","enableDeleteGeneratedRecords":"false","enableCount":"true","enableFailOnError":"true","enableGenerateData":"true","enableGenerateValidations":"false","enableRecordTracking":"false"},"folder":{"generatedReportsFolderPath":"","recordTrackingForValidationFolderPath":"","generatedPlanAndTasksFolderPath":"","taskFolderPath":"","recordTrackingFolderPath":"","validationFolderPath":"","planFilePath":""},"generation":{"numRecordsPerBatch":"100000","numRecordsPerStep":"-1"},"metadata":{"numRecordsForAnalysis":"10000","numRecordsFromDataSource":"10000","oneOfDistinctCountVsCountThreshold":"0.2","oneOfMinCount":"1000"},"validation":{"enableDeleteRecordTrackingFiles":"true"}},"dataSources":[{"count":{"records":1000},"fields":{"optFields":[{"name":"name","options":{"expression":"#{Name.name}"},"type":"string"},{"name":"age","options":{"max":"100"},"type":"integer"}]},"name":"my-json","taskName":"json-task","validations":[{"options":{"column":"name","contains":"a"},"type":"column"},{"nested":{"validations":[{"options":{"aggCol":"name","aggType":"count","greaterThan":"0"},"type":"column"}]},"options":{"groupByColumns":"name"},"type":"groupBy"}]},{"count":{"records":1000},"fields":{"optFields":[{"name":"name","type":"string"},{"name":"age","type":"integer"}]},"name":"my-csv","taskName":"csv-task","validations":[]}],"foreignKeys":[{"generationLinks":[{"columns":"name,age","taskName":"csv-task"}],"source":{"columns":"name,age","taskName":"json-task"}}],"id":"2f33f549-cf77-4dd1-95c7-60e0ff020343","name":"json-records"}) + .then(async respJson => { + document.getElementById("plan-name").value = planName; + // clear out default data source + document.querySelector(".data-source-config-container").remove(); + let tasksDetailsBody = document.getElementById("tasks-details-body"); + for (const dataSource of respJson.dataSources) { + numDataSources += 1; + let newDataSource = await createDataSourceForPlan(numDataSources); + tasksDetailsBody.append(newDataSource); + $(newDataSource).find(".task-name-field").val(dataSource.taskName); + $(newDataSource).find(".data-connection-name").selectpicker("val", dataSource.name)[0].dispatchEvent(new Event("change")); + + await createGenerationElements(dataSource, newDataSource, numDataSources); + createCountElementsFromPlan(dataSource, newDataSource); + await createValidationFromPlan(dataSource, newDataSource); + } + await createForeignKeysFromPlan(respJson); + createConfigurationFromPlan(respJson); + wait(500).then(r => $(document).find('button[aria-controls="report-body"]:not(.collapsed),button[aria-controls="configuration-body"]:not(.collapsed)').click()); + }); +} diff --git a/sample/ui/main.css b/sample/ui/main.css new file mode 100644 index 00000000..6fff43c3 --- /dev/null +++ b/sample/ui/main.css @@ -0,0 +1,125 @@ +:root { + font-family: 'SansSerif', sans-serif; +} + +body { + margin: 0; +} + +h2 { + margin: 5px; +} + +h3 { + margin: 5px; +} + +.top-banner { + height: fit-content; + background-color: #ff6e42; + padding: 0 .2rem; + display: flex; +} + +.top-banner span { + color: #f2f2f2; + font-size: 17px; + padding: 5px 6px; + display: flex; + align-items: center; +} + +.logo { + padding: 5px; + height: 45px; + width: auto; + display: flex; + align-items: center; + justify-content: center; +} + +.logo:hover { + background-color: #ff9100; + color: black; +} + +.top-banner img { + height: 35px; + width: auto; + display: flex; + justify-content: center; + vertical-align: middle; +} + +.topnav { + overflow: hidden; + background-color: #ff6e42; +} + +.topnav a { + float: left; + color: #f2f2f2; + text-align: center; + padding: 8px 10px; + text-decoration: none; + font-size: 17px; +} + +.topnav a:not(.btn):hover { + background-color: #ff9100; + color: black; + cursor: pointer; +} + +.topnav a.active { + color: black; +} + +.button-with-menu { + position: relative; +} + +.existing-attribute { + display: none; +} + +.accordion-button:after { + order: -1; + margin-left: 0; + margin-right: 0.5em; +} + +.example-1-enabled { + background-color: rgba(51, 170, 51, 0.3) !important; +} + +.example-2-enabled { + background-color: rgba(243, 245, 39, 0.3) !important; +} + +.example-1-disabled { + background-color: rgba(39, 213, 245, 0.3) !important; +} + +.example-2-disabled { + background-color: rgba(178, 39, 245, 0.3) !important; +} + +.input-icon { + right: 0; + position: absolute; + z-index: 2; + display: block; + width: 2.375rem; + height: 2.375rem; + line-height: 2.375rem; + text-align: center; +} + +pre {outline: 1px solid #ccc; padding: 5px; margin: 5px; } +.string { color: green; } +.number { color: darkorange; } +.boolean { color: blue; } +.null { color: magenta; } +.key { color: red; } + diff --git a/sample/ui/plan/plan.html b/sample/ui/plan/plan.html new file mode 100644 index 00000000..fa104d77 --- /dev/null +++ b/sample/ui/plan/plan.html @@ -0,0 +1,39 @@ + + + + + + + Data Caterer - Plan + + + + + + + + + +
+ + Data Caterer +
+ +
+

Plans

+ Create new plan +
+
+
+ + + + + + \ No newline at end of file diff --git a/sample/ui/plan/plan.js b/sample/ui/plan/plan.js new file mode 100644 index 00000000..aa88b11f --- /dev/null +++ b/sample/ui/plan/plan.js @@ -0,0 +1,49 @@ +import { + createAccordionItem, + createButton, + createButtonGroup, + createToast, + executePlan, + syntaxHighlight +} from "../shared.js"; + +const planList = document.getElementById("plan-list"); +let numPlans = 0; + +getExistingPlans(); + +function getExistingPlans() { + Promise.resolve({"plans":[{"configuration":{"alert":{"slackChannels":"","slackToken":""},"flag":{"enableUniqueCheck":"false","enableGeneratePlanAndTasks":"false","enableDeleteGeneratedRecords":"false","enableCount":"true","enableFailOnError":"true","enableGenerateData":"true","enableGenerateValidations":"false","enableRecordTracking":"false"},"folder":{"generatedReportsFolderPath":"","recordTrackingForValidationFolderPath":"","generatedPlanAndTasksFolderPath":"","taskFolderPath":"","recordTrackingFolderPath":"","validationFolderPath":"","planFilePath":""},"generation":{"numRecordsPerBatch":"100000","numRecordsPerStep":"-1"},"metadata":{"numRecordsForAnalysis":"10000","numRecordsFromDataSource":"10000","oneOfDistinctCountVsCountThreshold":"0.2","oneOfMinCount":"1000"},"validation":{"enableDeleteRecordTrackingFiles":"true"}},"dataSources":[{"count":{"records":1000},"fields":{"optFields":[{"name":"name","options":{"expression":"#{Name.name}"},"type":"string"},{"name":"age","options":{"max":"100"},"type":"integer"}]},"name":"my-json","taskName":"json-task","validations":[{"options":{"column":"name","contains":"a"},"type":"column"},{"nested":{"validations":[{"options":{"aggCol":"name","aggType":"count","greaterThan":"0"},"type":"column"}]},"options":{"groupByColumns":"name"},"type":"groupBy"}]},{"count":{"records":1000},"fields":{"optFields":[{"name":"name","type":"string"},{"name":"age","type":"integer"}]},"name":"my-csv","taskName":"csv-task","validations":[]}],"foreignKeys":[{"generationLinks":[{"columns":"name,age","taskName":"csv-task"}],"source":{"columns":"name,age","taskName":"json-task"}}],"id":"2f33f549-cf77-4dd1-95c7-60e0ff020343","name":"json-records"},{"configuration":{"alert":{"slackChannels":"","slackToken":"","triggerOn":"all"},"flag":{"enableAlerts":"true","enableUniqueCheck":"false","enableGeneratePlanAndTasks":"false","enableSaveReports":"true","enableDeleteGeneratedRecords":"false","enableCount":"true","enableFailOnError":"true","enableGenerateData":"true","enableGenerateValidations":"false","enableRecordTracking":"false","enableValidation":"true","enableSinkMetadata":"false"},"folder":{"generatedReportsFolderPath":"","recordTrackingForValidationFolderPath":"","generatedPlanAndTasksFolderPath":"","taskFolderPath":"","recordTrackingFolderPath":"","validationFolderPath":"","planFilePath":""},"generation":{"numRecordsPerBatch":"100000","numRecordsPerStep":"-1"},"metadata":{"oneOfDistinctCountVsCountThreshold":"0.2","numGeneratedSamples":"10","numRecordsForAnalysis":"10000","numRecordsFromDataSource":"10000","oneOfMinCount":"1000"},"validation":{"enableDeleteRecordTrackingFiles":"true","numSampleErrorRecords":"5"}},"dataSources":[{"count":{"records":1000},"fields":{"optFields":[{"name":"asf","type":"string"}]},"name":"my-data-source-1","taskName":"task-1","validations":[]}],"foreignKeys":[],"id":"d3b11f3e-38e6-4bbc-aa10-4eafcd8408ea","name":"my-plan"}]}) + .then(respJson => { + let plans = respJson.plans; + for (let plan of plans) { + numPlans += 1; + let accordionItem = createAccordionItem(numPlans, plan.name, "", syntaxHighlight(plan)); + + let editButton = createButton(`plan-edit-${numPlans}`, "Plan edit", "btn btn-primary", "Edit"); + let executeButton = createButton(`plan-execute-${numPlans}`, "Plan execute", "btn btn-primary", "Execute"); + let deleteButton = createButton(`plan-delete-${numPlans}`, "Plan delete", "btn btn-danger", "Delete"); + + editButton.addEventListener("click", function() { + location.href = `https://data.catering/sample/ui/index.html?plan-name=${plan.name}`; + }); + executeButton.addEventListener("click", function () { + let runId = crypto.randomUUID(); + plan.id = runId; + executePlan(plan, plan.name, runId); + }); + deleteButton.addEventListener("click", async function () { + createToast(plan.name, `Plan ${plan.name} deleted!`); + planList.removeChild(accordionItem); + }); + + let buttonGroup = createButtonGroup(editButton, executeButton, deleteButton); + let header = accordionItem.querySelector(".accordion-header"); + let divContainer = document.createElement("div"); + divContainer.setAttribute("class", "d-flex align-items-center"); + divContainer.append(header.firstChild, buttonGroup); + header.replaceChildren(divContainer); + planList.append(accordionItem); + } + }); +} diff --git a/sample/ui/shared.js b/sample/ui/shared.js new file mode 100644 index 00000000..f37213ed --- /dev/null +++ b/sample/ui/shared.js @@ -0,0 +1,887 @@ +import {dataTypeOptionsMap, validationTypeDisplayNameMap, validationTypeOptionsMap} from "./configuration-data.js"; +import { + addColumnValidationBlock, + incValidations, + numValidations, + updateAccordionHeaderOnInputAndSelect +} from "./helper-validation.js"; +import {incFields, numFields} from "./helper-generation.js"; + +Map.prototype.toJSON = function () { + let obj = {} + for (let [key, value] of this) + obj[key] = value + return obj +} + +let numAddAttributeButton = 0; +let numMenuButton = 0; + +export function camelize(str) { + return str.replace(/(?:^\w|[A-Z]|\b\w|\s+)/g, function (match, index) { + if (+match === 0) return ""; + return index === 0 ? match.toLowerCase() : match.toUpperCase(); + }); +} + +export function createFormFloating(floatingText, inputAttr) { + let formFloatingAttr = document.createElement("div"); + formFloatingAttr.setAttribute("class", "form-floating"); + let labelAttr = document.createElement("label"); + labelAttr.setAttribute("for", inputAttr.getAttribute("id")); + labelAttr.innerText = floatingText; + formFloatingAttr.append(inputAttr, labelAttr); + let colWrapper = document.createElement("div"); + colWrapper.setAttribute("class", "col"); + colWrapper.append(formFloatingAttr); + return colWrapper; +} + +export function createBadge(text) { + let badge = document.createElement("span"); + badge.setAttribute("class", "col badge bg-secondary m-2"); + badge.innerText = text; + return badge; +} + +export function createButton(id, label, classes, innerText) { + let button = document.createElement("button"); + if (id.length > 0) { + button.setAttribute("id", id); + } + button.setAttribute("aria-label", label); + button.setAttribute("class", classes); + button.setAttribute("type", "button"); + if (innerText) { + button.innerText = innerText; + } + return button; +} + +export function createCloseButton(closeElement) { + let closeButton = createButton("", "Close", "col-md-auto btn-close"); + closeButton.addEventListener("click", function () { + closeElement.remove(); + }); + return closeButton; +} + +export function createSelect(id, label, classes, title) { + let selectInput = document.createElement("select"); + selectInput.setAttribute("id", id); + selectInput.setAttribute("class", classes); + selectInput.setAttribute("aria-label", label); + selectInput.setAttribute("placeholder", ""); + selectInput.setAttribute("title", title); + selectInput.setAttribute("data-header", title); + return selectInput; +} + +export function createInput(id, label, classes, type, innerText) { + let formInput = document.createElement("input"); + formInput.setAttribute("id", id); + formInput.setAttribute("aria-label", label); + formInput.setAttribute("class", classes); + formInput.setAttribute("type", type); + formInput.setAttribute("placeholder", innerText); + formInput.setAttribute("value", innerText); + formInput.innerText = innerText; + return formInput; +} + +export function createFormText(id, text, span) { + let formText = span ? document.createElement("span") : document.createElement("div"); + formText.setAttribute("class", "form-text"); + formText.setAttribute("id", `${id}-form-text`); + formText.innerHTML = text; + if (span) { + let spanCol = document.createElement("div"); + spanCol.setAttribute("class", "col"); + spanCol.append(formText); + return spanCol; + } else { + return formText; + } +} + +export function createFieldValidationCheck(inputField) { + inputField.addEventListener("input", (event) => { + if (inputField.classList.contains("is-invalid") && event.target.value !== "") { + inputField.classList.remove("is-invalid"); + } else if (!inputField.classList.contains("is-invalid") && event.target.value === "") { + inputField.classList.add("is-invalid"); + } + }); +} + +export function createInputGroup(leftElement, rightElement, col) { + let colWrapper = document.createElement("div"); + colWrapper.setAttribute("class", col); + let inputGroup = document.createElement("div"); + inputGroup.setAttribute("class", "input-group"); + inputGroup.append(leftElement, rightElement); + colWrapper.append(inputGroup); + return colWrapper; +} + +export function createAccordionItem(index, buttonText, bodyText, bodyContainer, show) { + let buttonClass = show ? "accordion-button" : "accordion-button collapsed"; + let ariaExpanded = show ? "true" : "false"; + let collapseClass = show ? "accordion-collapse collapse show" : "accordion-collapse collapse"; + + let accordionItem = document.createElement("div"); + accordionItem.setAttribute("class", "accordion-item"); + let accordionHeader = document.createElement("h2"); + accordionHeader.setAttribute("class", "accordion-header"); + accordionHeader.setAttribute("id", "accordion-header-" + index); + let accordionButton = document.createElement("button"); + accordionButton.setAttribute("class", buttonClass); + accordionButton.setAttribute("type", "button"); + accordionButton.setAttribute("data-bs-toggle", "collapse"); + accordionButton.setAttribute("data-bs-target", "#accordion-collapse-" + index); + accordionButton.setAttribute("aria-expanded", ariaExpanded); + let accordionCollapse = document.createElement("div"); + accordionCollapse.setAttribute("class", collapseClass); + accordionCollapse.setAttribute("id", "accordion-collapse-" + index); + accordionCollapse.setAttribute("aria-labelledby", "accordion-header-" + index); + let accordionBody = document.createElement("div"); + accordionBody.setAttribute("class", "accordion-body"); + accordionButton.innerText = buttonText; + if (bodyText !== "") { + accordionBody.innerText = bodyText; + } + if (bodyContainer) { + accordionBody.append(bodyContainer); + } + + accordionCollapse.append(accordionBody); + accordionHeader.append(accordionButton); + accordionItem.append(accordionHeader, accordionCollapse); + return accordionItem; +} + +export function createRadioButtons(index, name, options, classes) { + let radioButtonContainer = document.createElement("div"); + radioButtonContainer.setAttribute("id", `${name}-${index}`); + radioButtonContainer.setAttribute("radioGroup", `${name}-${index}`); + if (classes) { + radioButtonContainer.setAttribute("class", classes); + } + for (const [i, option] of options.entries()) { + let snakeCaseOption = option.text.toLowerCase().replaceAll(" ", "-"); + let formCheck = document.createElement("div"); + formCheck.setAttribute("class", "form-check form-check-inline "); + let formInput = document.createElement("input"); + formInput.setAttribute("class", `form-check-input ${name} ${snakeCaseOption}`); + formInput.setAttribute("type", "radio"); + formInput.setAttribute("name", `${name}-${index}`); + formInput.setAttribute("id", `radio-${name}-${index}-${i}`); + if (i === 0) { + formInput.setAttribute("checked", ""); + } + let formLabel = document.createElement("label"); + formLabel.setAttribute("class", "form-check-label"); + formLabel.setAttribute("for", `radio-${name}-${index}-${i}`); + formLabel.innerText = option.text; + + formCheck.append(formInput, formLabel); + if (option.child) formCheck.append(option.child); + radioButtonContainer.append(formCheck); + } + return radioButtonContainer; +} + +export function formatDate(isMin, isTimestamp) { + let currentDate = new Date(); + if (isMin) { + currentDate.setDate(currentDate.getDate() - 365); + } + return isTimestamp ? currentDate.toISOString() : currentDate.toISOString().split("T")[0]; +} + +const dataAndValidationTypeBaseOptions = new Map(); +dataAndValidationTypeBaseOptions.set("validation", { + elementQuerySelector: ".validation-type", + menuAttributeName: "current-validation-type", + inputClass: "data-validation-field", + optionsMap: validationTypeOptionsMap, +}); +dataAndValidationTypeBaseOptions.set("generation", { + elementQuerySelector: ".field-type", + menuAttributeName: "current-data-type", + inputClass: "data-source-field", + optionsMap: dataTypeOptionsMap, +}); + +// Create a button for overriding attributes of the data field based on data type, i.e. set min to 10 for integer +export function createDataOrValidationTypeAttributes(element, elementType) { + let elementContainer = element.parentElement; + let defaultAttributeClass = "default-attribute"; + let typeOptions = dataAndValidationTypeBaseOptions.get(elementType); + + //maybe on hover, show defaults + let containerId = element.getAttribute("id"); + numAddAttributeButton += 1; + let {buttonWithMenuDiv, addAttributeButton, menu} = createButtonWithMenu(element); + element.append(buttonWithMenuDiv); + // element that decides what attributes are available in the menu + let menuDeciderElement = element.querySelector(typeOptions.elementQuerySelector); + + // when menu decider is changed, previous attributes should be removed from the `element` children + // there many also be default required children added, 'defaultChild' prefix + menuDeciderElement.addEventListener("change", (event) => { + let optionAttributes = typeOptions.optionsMap.get(event.target.value); + // remove default children from container + let defaultAddedElements = Array.from(element.querySelectorAll("." + defaultAttributeClass).values()); + for (let defaultAddedElement of defaultAddedElements) { + // TODO check if userAddedElement is compatible with new 'type' (i.e. change data type from int to long should keep min) + element.removeChild(defaultAddedElement); + } + // remove user added children from container + let userAddedElements = Array.from(elementContainer.querySelectorAll(".user-added-attribute").values()); + for (let userAddedElement of userAddedElements) { + elementContainer.removeChild(userAddedElement); + } + + // add in default attributes that are required + if (optionAttributes) { + let defaultChildKeys = Object.keys(optionAttributes).filter(k => k.startsWith("defaultChild")); + for (let defaultChildKey of defaultChildKeys) { + let defaultChildAttributes = optionAttributes[defaultChildKey]; + let attribute = defaultChildKey.replace("defaultChild", ""); + let attributeContainerId = `${containerId}-${attribute}`; + let inputAttribute = createAttributeFormFloating(defaultChildAttributes, attributeContainerId, typeOptions.inputClass, attribute, `col ${defaultAttributeClass}`); + element.insertBefore(inputAttribute, buttonWithMenuDiv); + } + // add in any additional blocks to the main container + // for example, when validation is upstream, add in block for validations based on upstream + if (optionAttributes["addBlock"]) { + if (optionAttributes["addBlock"].type === "validation") { + // need to add in new validation button and accordion for upstream validations + let newValidationBox = createManualContainer(numValidations, "validation", "nested-validation"); + elementContainer.append(newValidationBox); + } else if (optionAttributes["addBlock"].type === "field") { + // need to add in new field button to allow for nested fields + let newFieldBox = createManualContainer(numFields, "generation", "struct-schema"); + elementContainer.append(newFieldBox); + } + } else { + // if there exists additional blocks, remove them + $(elementContainer).find("[id$=nested-validation],[id$=struct-schema]").remove(); + } + } + }); + // trigger when loaded to ensure default child is there at start + // menuDeciderElement.dispatchEvent(new Event("change")); + + // when click on the add attributes button, show menu of attributes + addClickListenForAttributeMenu(addAttributeButton, menu, element, typeOptions.elementQuerySelector, typeOptions.menuAttributeName, typeOptions.optionsMap); + + // when attribute in menu is clicked, create text box with that attribute and its default value before the add button + menu.addEventListener("click", (event) => { + event.preventDefault(); + let attribute = event.target.getAttribute("value"); + // check if attribute already exists + let attributeContainerId = containerId + "-" + attribute; + if ($(elementContainer).find(`[aria-label=${attribute}]`).length === 0) { + // get default value for data type attribute along with other metadata + let currentMenuType = menu.getAttribute(typeOptions.menuAttributeName); + let currentTypeAttributes = typeOptions.optionsMap.get(currentMenuType); + let attrMetadata = currentTypeAttributes[attribute]; + addNewDataTypeAttribute(attribute, attrMetadata, attributeContainerId, typeOptions.inputClass, elementContainer); + } + }); +} + +export function createButtonWithMenu(element) { + numMenuButton += 1; + let buttonWithMenuDiv = document.createElement("div"); + buttonWithMenuDiv.setAttribute("class", "col dropdown"); + let addAttributeId = `${element.getAttribute("id")}-add-attribute-button-${numMenuButton}`; + let addAttributeButton = createAddAttributeButton(addAttributeId); + buttonWithMenuDiv.append(addAttributeButton); + + // menu of attribute based on data type + let menu = document.createElement("ul"); + menu.setAttribute("class", "dropdown-menu"); + menu.setAttribute("aria-labelledby", addAttributeId); + menu.setAttribute("id", `${element.getAttribute("id")}-add-attribute-menu-${numMenuButton}`); + buttonWithMenuDiv.append(menu); + return {buttonWithMenuDiv, addAttributeButton, menu}; +} + +export function createAddAttributeButton(addAttributeId) { + let addAttributeButton = createButton(addAttributeId, "add-attribute", "btn btn-secondary dropdown-toggle"); + addAttributeButton.setAttribute("data-bs-toggle", "dropdown"); + addAttributeButton.setAttribute("aria-expanded", "false"); + let addIcon = document.createElement("i"); + addIcon.setAttribute("class", "fa fa-plus"); + addAttributeButton.append(addIcon); + return addAttributeButton; +} + +export function addItemsToAttributeMenu(attributesForDataType, menu) { + for (let [key, value] of Object.entries(attributesForDataType)) { + if (!key.startsWith("defaultChild") && key !== "addBlock") { + let menuItem = document.createElement("li"); + menuItem.setAttribute("id", key); + menuItem.setAttribute("value", key); + let menuItemContent = document.createElement("button"); + menuItemContent.setAttribute("class", "dropdown-item"); + menuItemContent.setAttribute("type", "button"); + menuItemContent.setAttribute("value", key); + menuItemContent.innerText = value.displayName; + menuItem.append(menuItemContent); + menu.append(menuItem); + } + } +} + +export function addHelp(attrMetadata, child, parent) { + if (attrMetadata.help) { + let helpDiv = createFormText(child.getAttribute("id"), attrMetadata.help, "span"); + child.setAttribute("aria-describedby", helpDiv.getAttribute("id")); + parent.append(helpDiv); + } +} + +export function addNewDataTypeAttribute(attribute, attrMetadata, attributeContainerId, inputClass, elementContainer) { + let hasAddBlockColumn = attrMetadata["addBlock"] && attrMetadata["addBlock"].type === "column"; + // add attribute field to field container + let newAttributeRow = document.createElement("div"); + newAttributeRow.setAttribute("class", "row g-3 m-1 align-items-center user-added-attribute"); + let attrType = attrMetadata["type"]; + + if (attrType === "min-max") { + let formFloatingAttrMin = createAttributeFormFloating(attrMetadata, attributeContainerId, inputClass, attribute + "Min", "col-4"); + let formFloatingAttrMax = createAttributeFormFloating(attrMetadata, attributeContainerId, inputClass, attribute + "Max", "col-3"); + newAttributeRow.append(formFloatingAttrMin, formFloatingAttrMax); + addHelp(attrMetadata, formFloatingAttrMin, newAttributeRow); + if (!hasAddBlockColumn) elementContainer.append(newAttributeRow); + } else { + let formFloatingAttr = createAttributeFormFloating(attrMetadata, attributeContainerId, inputClass, attribute, "col-7"); + newAttributeRow.append(formFloatingAttr); + addHelp(attrMetadata, formFloatingAttr, newAttributeRow); + if (!hasAddBlockColumn) elementContainer.append(newAttributeRow); + } + + if (hasAddBlockColumn) { + // need to use card for appending to mainContainer + addColumnValidationBlock(newAttributeRow, elementContainer, attributeContainerId, inputClass); + } else if (!attrMetadata.required) { + let closeButton = createCloseButton(newAttributeRow); + let closeCol = document.createElement("div"); + closeCol.setAttribute("class", "col-md-auto"); + closeCol.append(closeButton); + newAttributeRow.append(closeCol); + } +} + +// get first level elements of class +export function findNextLevelNodesByClass($elem, className, notInsideClassName) { + let nodesArray = []; + + function getRecursiveNextDom($rootNode) { + $rootNode.children().each((i, element) => { + if (notInsideClassName && notInsideClassName.some(c => $(element).hasClass(c))) { + //do nothing + } else if ($(element).hasClass(className)) { + nodesArray.push(element) + } else { + getRecursiveNextDom($(element)); + } + }) + } + + getRecursiveNextDom($elem, className); + return nodesArray; +} + +function createAttributeWithChoice(attributeContainerId, label, inputClass, attrMetadata) { + let baseInput = createSelect(attributeContainerId, label, `selectpicker form-control input-field ${inputClass}`); + for (let choice of attrMetadata.choice) { + let option = document.createElement("option"); + option.setAttribute("value", choice.toString()); + option.innerText = choice.toString(); + if (choice === attrMetadata["default"]) { + option.setAttribute("selected", ""); + } + baseInput.append(option); + } + // doesn't need form floating + let inputCol = document.createElement("div"); + inputCol.setAttribute("class", "col"); + inputCol.append(baseInput); + $(baseInput).selectpicker(); + return inputCol; +} + +function createAttributeWithGroup(attributeContainerId, attribute, attrMetadata, formFloatingInput, col) { + let startInputDiv = document.createElement("div"); + startInputDiv.setAttribute("class", "input-group-text"); + let startInput = createInput(`${attributeContainerId}-option-input`, attribute, "form-check-input mt-0", attrMetadata.group.type); + if (attrMetadata.group.type === "checkbox" && attrMetadata.group.checked) startInput.setAttribute("checked", ""); + + let startInputLabel = document.createElement("label"); + startInputLabel.setAttribute("class", "form-check-label"); + startInputLabel.setAttribute("for", `${attributeContainerId}-option-input`); + startInputLabel.innerText = attrMetadata.group.innerText; + startInputDiv.append(startInput, startInputLabel); + return createInputGroup(startInputDiv, formFloatingInput, col ? col : "col-8"); +} + +function createAttributeWithPassword(inputAttr, formFloatingInput) { + // add toggle visibility + inputAttr.setAttribute("type", "password"); + let iconHolder = document.createElement("span"); + iconHolder.setAttribute("class", "input-group-text"); + let icon = document.createElement("i"); + icon.setAttribute("class", "fa fa-eye-slash"); + icon.setAttribute("style", "width: 20px;"); + iconHolder.append(icon); + iconHolder.addEventListener("click", function () { + if (inputAttr.getAttribute("type") === "password") { + inputAttr.setAttribute("type", "text"); + icon.setAttribute("class", "fa fa-eye"); + } else { + inputAttr.setAttribute("type", "password"); + icon.setAttribute("class", "fa fa-eye-slash"); + } + }); + let inputGroup = document.createElement("div"); + inputGroup.setAttribute("class", "input-group"); + inputGroup.append(formFloatingInput.firstElementChild, iconHolder); + let optionCol = document.createElement("div"); + optionCol.setAttribute("class", "col-7"); + optionCol.append(inputGroup); + return optionCol; +} + +export function createAttributeFormFloating(attrMetadata, attributeContainerId, inputClass, attribute, col) { + let inputAttr; + if (attrMetadata.choice) { + inputAttr = createAttributeWithChoice(attributeContainerId, attribute, inputClass, attrMetadata); + } else if (attrMetadata["type"] === "badge") { + return createBadge(attribute); + } else { + inputAttr = createInput(attributeContainerId, attribute, `form-control input-field ${inputClass}`, attrMetadata["type"], attrMetadata["default"]); + + if (attrMetadata["disabled"] !== "") { + if (attrMetadata["required"] === "") { + if (!attrMetadata["default"] || attrMetadata["default"] === "") { + inputAttr.classList.add("is-invalid"); + } + createFieldValidationCheck(inputAttr); + inputAttr.setAttribute("required", ""); + } + } + inputAttr.dispatchEvent(new Event("input")); + } + + for (const [key, value] of Object.entries(attrMetadata)) { + if (key !== "default" && key !== "type" && key !== "choice" && key !== "help" && key !== "group" && key !== "addBlock") { + inputAttr.setAttribute(key, value); + } + } + + let displayName = attrMetadata["displayName"] !== "" ? attrMetadata["displayName"] : attribute; + let formFloatingInput = attrMetadata.choice ? inputAttr : createFormFloating(displayName, inputAttr); + + // if group is defined, there is additional input required + // if help is defined, add to container + if (attrMetadata.group) { + return createAttributeWithGroup(attributeContainerId, attribute, attrMetadata, formFloatingInput, col); + } else if (attrMetadata["type"] === "password") { + return createAttributeWithPassword(inputAttr, formFloatingInput); + } else { + if (col) { + formFloatingInput.setAttribute("class", col); + } + return formFloatingInput; + } +} + +function addClickListenForAttributeMenu(addAttributeButton, menu, element, elementQuerySelector, menuAttributeName, optionsMap) { + addAttributeButton.addEventListener("click", (event) => { + event.preventDefault(); + menu.open = !menu.open; + // get current value of the data/validation type + let currentType = $(element).find("select").val(); + let currentMenuType = menu.getAttribute(menuAttributeName); + if (currentType !== null && (currentMenuType === null || currentMenuType !== currentType)) { + // clear out menu items + menu.replaceChildren(); + let attributesForDataType = optionsMap.get(currentType); + // menu items are the different attribute available for the type selected + if (attributesForDataType) { + addItemsToAttributeMenu(attributesForDataType, menu); + } + menu.setAttribute(menuAttributeName, currentType); + } + }); +} + +export function createButtonGroup(...args) { + let divContainer = document.createElement("div"); + divContainer.setAttribute("class", "d-flex position-absolute"); + divContainer.setAttribute("style", "right:10px; z-index:3;"); + let buttonGroup = document.createElement("div"); + buttonGroup.setAttribute("class", "btn-group"); + buttonGroup.setAttribute("role", "group"); + buttonGroup.setAttribute("aria-label", "plan-control-group"); + + buttonGroup.append(...args); + divContainer.append(buttonGroup); + return divContainer; +} + +export function addAccordionCloseButton(accordionItem) { + let header = accordionItem.querySelector(".accordion-header"); + header.classList.add("position-relative"); + let closeButton = createCloseButton(accordionItem); + closeButton.setAttribute("style", "width: 3px; height: 3px;"); + let buttonGroup = createButtonGroup(closeButton); + let divContainer = document.createElement("div"); + divContainer.setAttribute("class", "d-flex align-items-center"); + divContainer.append(header.firstChild, buttonGroup); + header.replaceChildren(divContainer); +} + +export function createToast(header, message, type) { + let toast = document.createElement("div"); + toast.setAttribute("class", "toast"); + toast.setAttribute("role", "alert"); + toast.setAttribute("aria-live", "assertive"); + toast.setAttribute("aria-atomic", "true"); + let toastHeader = document.createElement("div"); + toastHeader.setAttribute("class", "toast-header mr-2"); + let icon = document.createElement("i"); + if (type === "success") { + icon.setAttribute("class", "bi bi-check-square-fill"); + icon.setAttribute("style", "color: green"); + } else if (type === "fail") { + icon.setAttribute("class", "bi bi-exclamation-square-fill"); + icon.setAttribute("style", "color: red"); + } else { + icon.setAttribute("class", "bi bi-caret-right-square-fill"); + icon.setAttribute("style", "color: orange"); + } + let strong = document.createElement("strong"); + strong.setAttribute("class", "me-auto"); + strong.innerText = header; + let small = document.createElement("small"); + small.innerText = "Now"; + let button = createButton("", "Close", "btn-close"); + button.setAttribute("data-bs-dismiss", "toast"); + let toastBody = document.createElement("div"); + toastBody.setAttribute("class", "toast-body"); + toastBody.innerText = message; + toastHeader.append(icon, strong, small, button); + toast.append(toastHeader, toastBody); + document.getElementById("toast-container").append(toast); + new bootstrap.Toast(toast).show(); +} + +export function executePlan(requestBody, planName, runId) { + Promise.resolve() + .then(async r => { + createToast(planName, `Started to run plan ${planName}!`); + // poll every 1 second for status of plan run + let currentStatus = "started"; + while (currentStatus !== "finished" && currentStatus !== "failed") { + Promise.resolve() + .catch(err => { + console.error(err); + createToast(planName, `Plan ${planName} failed! Error: ${err}`, "fail"); + reject("Plan run failed"); + }) + .then(resp => { + if (resp.ok) { + return resp.json(); + } else { + resp.text().then(text => { + createToast(planName, `Plan ${planName} failed! Error: ${text}`, "fail"); + throw new Error(text); + }); + } + }) + .then(respJson => { + let latestStatus = respJson.status; + if (latestStatus !== currentStatus) { + currentStatus = latestStatus; + let type = "running"; + let msg = `Plan ${planName} update, status: ${latestStatus}`; + if (currentStatus === "finished") { + type = "success"; + msg = `Successfully completed ${planName}.`; + } else if (currentStatus === "failed") { + type = "fail"; + let failReason = respJson.failedReason.length > 200 ? respJson.failedReason.substring(0, 200) + "..." : respJson.failedReason; + msg = `Plan ${planName} failed! Error: ${failReason}`; + } + createToast(planName, msg, type); + } + }); + await wait(500); + } + }); +} + +export function syntaxHighlight(json) { + let prettyPrintJson = JSON.stringify(json, null, 2); + prettyPrintJson = prettyPrintJson.replace(/&/g, '&').replace(//g, '>'); + let highlightedJson = prettyPrintJson.replace(/("(\\u[a-zA-Z0-9]{4}|\\[^u]|[^\\"])*"(\s*:)?|\b(true|false|null)\b|-?\d+(?:\.\d*)?(?:[eE][+\-]?\d+)?)/g, function (match) { + var cls = 'number'; + if (/^"/.test(match)) { + if (/:$/.test(match)) { + cls = 'key'; + } else { + cls = 'string'; + } + } else if (/true|false/.test(match)) { + cls = 'boolean'; + } else if (/null/.test(match)) { + cls = 'null'; + } + return '' + match + ''; + }); + + let preElement = document.createElement("pre"); + preElement.innerHTML = highlightedJson; + return preElement; +} + +export async function getDataConnectionsAndAddToSelect(dataConnectionSelect, baseTaskDiv, groupType) { + //get list of existing data connections + let connections; + if (groupType === "dataSource") { + connections = Promise.resolve({"connections":[{"groupType":"dataSource","name":"account-json","options":{"partitions":"1","path":"/tmp/generated-data/account-json"},"type":"json"},{"groupType":"dataSource","name":"downstream-delete-csv","options":{"partitions":"1","path":"/tmp/generated-data/downstream-delete-csv"},"type":"csv"},{"groupType":"dataSource","name":"downstream-delete-json","options":{"partitions":"1","path":"/tmp/generated-data/downstream-delete-json"},"type":"json"},{"groupType":"dataSource","name":"downstream-delete-json-2","options":{"partitions":"1","path":"/tmp/generated-data/downstream-delete-json-2"},"type":"json"},{"groupType":"dataSource","name":"my-cassandra","options":{"url":"localhost:9042","keyspace":"","user":"cassandra","table":"","password":"***"},"type":"cassandra"},{"groupType":"dataSource","name":"my-csv","options":{"partitions":"1","path":"/tmp/generated-data/csv"},"type":"csv"},{"groupType":"dataSource","name":"my-json","options":{"partitions":"1","path":"/tmp/generated-data/json"},"type":"json"},{"groupType":"dataSource","name":"my-orc","options":{"partitions":"1","path":"/tmp/generated-data/orc"},"type":"orc"},{"groupType":"dataSource","name":"my-parquet","options":{"partitions":"1","path":"/tmp/generated-data/parquet"},"type":"parquet"},{"groupType":"dataSource","name":"my-postgres","options":{"password":"***","url":"jdbc:postgres://localhost:5432/customer","username":"postgres"},"type":"postgres"},{"groupType":"dataSource","name":"nested-json","options":{"path":"/tmp/generated-data/nested-json"},"type":"json"},{"groupType":"dataSource","name":"test-json","options":{"partitions":"1","path":"/tmp/generated-data/json"},"type":"json"},{"groupType":"dataSource","name":"transaction-csv","options":{"path":"/tmp/generated-data/transaction-csv"},"type":"csv"},{"groupType":"dataSource","name":"transaction-json","options":{"partitions":"1","path":"/tmp/generated-data/transaction-json"},"type":"json"}]}); + } else { + connections = Promise.resolve({"connections":[{"groupType":"metadata","name":"my-data-source-1","options":{"url":"http://localhost:5001"},"type":"marquez"},{"groupType":"metadata","name":"my-marquez","options":{"namespace":"hello","url":"http://localhost:5001"},"type":"marquez"},{"groupType":"metadata","name":"petstore-api","options":{"schemaLocation":"/tmp/sample/http/openapi/petstore.json"},"type":"open_api"}]}); + } + return connections + .then(respJson => { + if (respJson) { + let connections = respJson.connections; + for (let connection of connections) { + let option = document.createElement("option"); + option.setAttribute("value", connection.name); + option.innerText = connection.name; + dataConnectionSelect.append(option); + } + } + + // if list of connections is empty, provide button to add new connection + if (respJson.connections.length === 0) { + let buttonContainer = document.createElement("div"); + buttonContainer.setAttribute("class", "col-md-auto"); + let createNewConnection = document.createElement("a"); + createNewConnection.setAttribute("type", "button"); + createNewConnection.setAttribute("class", "btn btn-primary"); + createNewConnection.setAttribute("href", "/connection"); + createNewConnection.innerText = "Create new connection"; + buttonContainer.append(createNewConnection); + return buttonContainer; + } else { + $(dataConnectionSelect).selectpicker(); + return baseTaskDiv; + } + }); +} + +export function createIconWithConnectionTooltip(dataConnectionSelect) { + let iconDiv = document.createElement("i"); + iconDiv.setAttribute("class", "bi bi-info-circle"); + iconDiv.setAttribute("data-bs-toggle", "tooltip"); + iconDiv.setAttribute("data-bs-placement", "top"); + iconDiv.setAttribute("data-bs-container", "body"); + iconDiv.setAttribute("data-bs-html", "true"); + iconDiv.setAttribute("data-bs-title", "Connection options"); + new bootstrap.Tooltip(iconDiv); + // on select change, update icon title + dataConnectionSelect.addEventListener("change", (event) => { + let connectionName = event.target.value; + Promise.resolve({"groupType":"dataSource","name":"my-cassandra","options":{"url":"localhost:9042","keyspace":"","user":"cassandra","table":"","password":"***"},"type":"cassandra"}) + .then(respJson => { + if (respJson) { + let optionsToShow = {}; + optionsToShow["type"] = respJson.type; + for (let [key, value] of Object.entries(respJson.options)) { + if (key !== "user" && key !== "password") { + optionsToShow[key] = value; + } + } + let summary = Object.entries(optionsToShow).map(kv => `${kv[0]}: ${kv[1]}`).join("
"); + iconDiv.setAttribute("data-bs-title", summary); + new bootstrap.Tooltip(iconDiv); + } + }); + }); + return iconDiv; +} + +export const manualContainerDetails = new Map(); +manualContainerDetails.set("generation", { + containerName: "data-source-schema-container", + headerText: "Manual Schema", + accordionColour: "lavender", + button: { + id: "add-field-btn", + text: "+ Field", + classes: "btn btn-secondary", + label: "add-field", + } +}); +manualContainerDetails.set("validation", { + containerName: "data-source-validation-container", + headerText: "Manual Validation", + accordionColour: "blanchedalmond", + button: { + id: "add-validation-btn", + text: "+ Validation", + classes: "btn btn-secondary", + label: "add-validation", + } +}); + +export function createManualContainer(index, type, additionalName) { + let details = manualContainerDetails.get(type); + let divName = additionalName ? + `${details.containerName}-${additionalName}` : + `${details.containerName}-${index}`; + let divContainer = document.createElement("div"); + divContainer.setAttribute("class", `card card-body ${divName}`); + divContainer.setAttribute("id", divName); + divContainer.style.display = "inherit"; + let manualHeader = document.createElement("h5"); + manualHeader.innerText = details.headerText; + let accordion = document.createElement("div"); + accordion.setAttribute("class", "accordion m-2"); + accordion.setAttribute("style", `--bs-accordion-active-bg: ${details.accordionColour}`); + + let button = details["button"]; + let addButton = createButton(`${button.id}-${index}`, button.label, button.classes, button.text); + addButton.addEventListener("click", async function () { + let newField; + if (details.containerName.includes("schema")) { + incFields(); + newField = await createNewField(numFields, "generation"); + } else if (details.containerName.includes("validation")) { + incValidations(); + newField = await createNewField(numValidations, "validation"); + } + if (newField) accordion.append(newField); + }); + + divContainer.append(manualHeader, addButton, accordion); + return divContainer; +} + +export const newFieldDetails = new Map(); +newFieldDetails.set("generation", { + containerName: "data-field-container", + input: { + id: "field-name", + label: "Name", + classes: "form-control input-field data-source-field is-invalid", + type: "text", + required: "" + }, + select: { + id: "field-type", + label: "Type", + classes: "selectpicker form-control input-field data-source-field field-type", + title: "Select data type...", + options: { + map: dataTypeOptionsMap + } + }, + accordion: { + name: "column", + classes: "data-field-container", + header: { + updateOn: "input" + } + } +}); +newFieldDetails.set("validation", { + containerName: "data-validation-container", + select: { + id: "validation-type", + label: "Type", + classes: "selectpicker form-control input-field data-validation-field validation-type", + title: "Select validation type...", + options: { + map: validationTypeOptionsMap, + displayMap: validationTypeDisplayNameMap, + } + }, + accordion: { + name: "validation", + classes: "accordion-data-validation-container", + header: { + updateOn: "inputAndSelect" + } + } +}); + +export async function createNewField(index, type) { + let details = newFieldDetails.get(type); + let fieldContainer = document.createElement("div"); + fieldContainer.setAttribute("class", "row g-3 mb-2 align-items-center"); + fieldContainer.setAttribute("id", `${details.containerName}-${index}`); + + let fieldTypeSelect = createSelect(`${details.select.id}-${index}`, details.select.label, details.select.classes, details.select.title); + let fieldTypeFormGroup = document.createElement("div"); + fieldTypeFormGroup.setAttribute("class", "form-group"); + fieldTypeFormGroup.append(fieldTypeSelect); + let fieldTypeCol = document.createElement("div"); + fieldTypeCol.setAttribute("class", "col"); + fieldTypeCol.append(fieldTypeFormGroup); + + for (const key of details.select.options.map.keys()) { + let selectOption = document.createElement("option"); + selectOption.setAttribute("value", key); + selectOption.innerText = details.select.options.displayMap ? details.select.options.displayMap.get(key) : key; + fieldTypeSelect.append(selectOption); + } + + let accordionItem = createAccordionItem(`${details.accordion.name}-${index}`, `${details.accordion.name}-${index}`, "", fieldContainer, "show"); + addAccordionCloseButton(accordionItem); + accordionItem.classList.add(details.accordion.classes); + + if (details.input) { + let fieldName = createInput(`${details.input.id}-${index}`, details.input.label, details.input.classes, details.input.type, ""); + fieldName.setAttribute("required", ""); + createFieldValidationCheck(fieldName); + fieldContainer.append(createFormFloating(details.input.label, fieldName)); + } + + fieldContainer.append(fieldTypeCol); + createDataOrValidationTypeAttributes(fieldContainer, type); + $(fieldTypeSelect).selectpicker(); + + if (details.accordion.header.updateOn === "input") { + let inputField = fieldContainer.querySelector(".input-field"); + inputField.addEventListener("input", (event) => { + let accordionButton = $(accordionItem).find(".accordion-button"); + accordionButton[0].innerText = event.target.value; + }); + } else if (details.accordion.header.updateOn === "inputAndSelect") { + let accordionButton = $(accordionItem).find(".accordion-button")[0]; + fieldTypeSelect.addEventListener("change", async (event) => { + accordionButton.innerText = event.target.options[event.target.selectedIndex].innerText; + await updateAccordionHeaderOnInputAndSelect(fieldContainer, accordionButton); + }); + await updateAccordionHeaderOnInputAndSelect(fieldContainer, accordionButton); + } + + return accordionItem; +} + + +export const wait = function (ms = 1000) { + return new Promise(resolve => { + setTimeout(resolve, ms); + }); +}; diff --git a/search/search_index.json b/search/search_index.json new file mode 100644 index 00000000..87c465e4 --- /dev/null +++ b/search/search_index.json @@ -0,0 +1 @@ +{"config":{"lang":["en"],"separator":"[\\s\\-]+","pipeline":["stopWordFilter"],"fields":{"title":{"boost":1000.0},"text":{"boost":1.0},"tags":{"boost":1000000.0}}},"docs":[{"location":"","title":"Automated test data management tool","text":"Automated test data management. Create simple managed flows for data generation, validation and cleanup.

Try now! Demo

Any data sourceBuilt for any batch or real-time data sources for data generation or validation. RelationshipsGenerate data with relationships between any data source. Complex Data ValidationsDon't just fire and forget. Validate your data directly based on data generated. Data CleanupDelete the generated data or even delete the data generated by your consumers.

Try now! Demo

"},{"location":"#what-is-it","title":"What is it","text":"
  • Test data management tool

    Generate synthetic production-like data to be consumed and validated. Clean up the data after using to keep your environments clean.

  • Designed for any data source

    We aim to support pushing data to any data source, in any format, batch or real-time.

  • Low/no code solution

    Use the tool via either UI, Scala, Java or YAML.

  • Developer productivity tool

    If you are a new developer or seasoned veteran, cut down on your feedback loop when developing with data.

"},{"location":"#what-it-is-not","title":"What it is not","text":"
  • Metadata storage/platform

    You could store and use metadata within the data generation/validation tasks but is not the recommended approach. Rather, this metadata should be gathered from existing services who handle metadata on behalf of Data Caterer.

  • Data contract

    The focus of Data Caterer is on the data generation and testing, which can include details about how the data looks like and how it behaves. But it does not encompass all the additional metadata that comes with a data contract such as SLAs, security, etc.

Try now! Demo

"},{"location":"about/","title":"About","text":"

Hi, my name is Peter. I am a Software Developer, mainly focussing on data related services. My experience can be found on my LinkedIn.

I have created Data Caterer to help serve individuals and companies with data generation and data testing. It is a complex area that has many edge cases or intricacies that are hard to summarise or turn into something actionable and repeatable. Through the use of metadata, Data Caterer can help simplify your data testing, simulating production environment data, aid in data debugging, or whatever your data use case may be.

Given that it is going to save you and your team time and money, please help in considering financial support. This will help the product grow into a sustainable and feature-full service.

"},{"location":"about/#contact","title":"Contact","text":"

Please contact Peter Flook via Slack or via email peter.flook@data.catering if you have any questions or queries.

"},{"location":"demo/","title":"Demo","text":"

See what the Data Caterer UI looks like and see what it is capable of.

Demo

  • Create a data generation or validation plan
  • View different options for defining where schema information comes from or manually defined yourself
  • View the possible data source connections available for data generation and validation
  • Edit your existing plans
  • Check the history and reports of the plan runs
"},{"location":"sponsor/","title":"Pricing","text":"

To have access to all the features of Data Caterer, you can subscribe according to your situation. You will not be charged by usage. As you continue to subscribe, you will have access to the latest version of Data Caterer as new bug fixes and features get published. You will also get priority on any feature requests.

Those who are wanting to use this project for open source applications, please contact me as I would be happy to contribute.

"},{"location":"sponsor/#features","title":"Features","text":"
  • Connect to all data sources (see here for all data sources)
  • Batch and Event generation
  • Auto generation from data connections or metadata sources
  • Suggest data validations
  • Clean up generated and downstream data
  • Run as many times as you want, not charged by usage
  • Metadata discovery
  • Plus more to come
"},{"location":"sponsor/#tiers","title":"Tiers","text":""},{"location":"sponsor/#manage-subscription","title":"Manage Subscription","text":"

Manage via this link

"},{"location":"sponsor/#contact","title":"Contact","text":"

Please contact Peter Flook via Slack or via email peter.flook@data.catering if you have any questions or queries.

"},{"location":"use-case/","title":"Use cases","text":""},{"location":"use-case/#replicate-production-in-lower-environment","title":"Replicate production in lower environment","text":"

Having a stable and reliable test environment is a challenge for a number of companies, especially where teams are asynchronously deploying and testing changes at faster rates. Data Caterer can help alleviate these issues by doing the following:

  1. Generates data with the latest schema changes and production like field values
  2. Run as a job on a daily/regular basis to replicate production traffic or data flows
  3. Validate data to ensure your system runs as expected
  4. Clean up data to avoid build up of generated data

"},{"location":"use-case/#local-development","title":"Local development","text":"

Similar to the above, being able to replicate production like data in your local environment can be key to developing more reliable code as you can test directly against data in your local computer. This has a number of benefits including:

  1. Fewer assumptions or ambiguities when the developer codes
  2. Direct feedback loop in local computer rather than waiting for test environment for more reliable test data
  3. No domain expertise required to understand the data
  4. Easy for new developers to be onboarded and developing/testing code for jobs/services
"},{"location":"use-case/#systemintegration-testing","title":"System/integration testing","text":"

When working with third-party, external or internal data providers, it can be difficult to have all setup ready to produce reliable data that abides by relationship contracts between each of the systems. You have to rely on these data providers in order for you to run your tests which may not align to their priorities. With Data Caterer, you can generate the same data that they would produce, along with maintaining referential integrity across the data providers, so that you can run your tests without relying on their systems being up and reliable in their corresponding lower environments.

"},{"location":"use-case/#scenario-testing","title":"Scenario testing","text":"

If you want to set up particular data scenarios, you can customise the generated data to fit your scenario. Once the data gets generated and is consumed, you can also run validations to ensure your system has consumed the data correctly. These scenarios can be put together from existing tasks or data sources can be enabled/disabled based on your requirement. Built into Data Caterer and controlled via feature flags, is the ability to test edge cases based on the data type of the fields used for data generation (enableEdgeCases flag within <field>.generator.options, see more here).

"},{"location":"use-case/#data-debugging","title":"Data debugging","text":"

When data related issues occur in production, it may be difficult to replicate in a lower or local environment. It could be related to specific fields not containing expected results, size of data is too large or missing corresponding referenced data. This becomes key to resolving the issue as you can directly code against the exact data scenario and have confidence that your code changes will fix the problem. Data Caterer can be used to generate the appropriate data in whichever environment you want to test your changes against.

"},{"location":"use-case/#data-profiling","title":"Data profiling","text":"

When using Data Caterer with the feature flag enableGeneratePlanAndTasks enabled (see here), metadata relating all the fields defined in the data sources you have configured will be generated via data profiling. You can run this as a standalone job (can disable enableGenerateData) so that you can focus on the profile of the data you are utilising. This can be run against your production data sources to ensure the metadata can be used to accurately generate data in other environments. This is a key feature of Data Caterer as no direct production connections need to be maintained to generate data in other environments (which can lead to serious concerns about data security as seen here).

"},{"location":"use-case/#schema-gathering","title":"Schema gathering","text":"

When using Data Caterer with the feature flag enableGeneratePlanAndTasks enabled (see here), all schemas of the data sources defined will be tracked in a common format (as tasks). This data, along with the data profiling metadata, could then feed back into your schema registries to help keep them up to date with your system.

"},{"location":"get-started/quick-start/","title":"Run Data Caterer","text":""},{"location":"get-started/quick-start/#quick-start","title":"Quick start","text":"
  • Mac

    Instructions for Mac download

  • Windows

    Instructions for Windows download

  • Docker

    Instructions for Docker download

  • Linux

    Instructions for Linux download

  • Java/Scala

    Instructions for using Java/Scala API via Docker

"},{"location":"get-started/quick-start/#mac","title":"Mac","text":"
  1. Mac download
  2. Extract zip file
  3. Double-click 'DataCaterer-1.0.0.dmg'
  4. Drag Data Caterer into 'Applications' folder
  5. Go to 'Applications' folder, right click Data Caterer, click 'Open' and then 'Open Anyway'
  6. If your browser doesn't open, go to http://localhost:9898 in your preferred browser
"},{"location":"get-started/quick-start/#windows","title":"Windows","text":"
  1. Windows download
  2. After downloaded, go to 'Downloads' folder and 'Extract All' from data-caterer-windows
  3. Double-click 'DataCaterer-1.0.0' to install Data Caterer
  4. Click on 'More info' then at the bottom, click 'Run anyway'
  5. Go to '/Program Files/DataCaterer' folder and run DataCaterer application
  6. If your browser doesn't open, go to http://localhost:9898 in your preferred browser
"},{"location":"get-started/quick-start/#docker","title":"Docker","text":"
  1. Docker
    docker run -d -i -p 9898:9898 -e DEPLOY_MODE=standalone --name datacaterer datacatering/data-caterer-basic:0.10.8\n
  2. Open localhost:9898
"},{"location":"get-started/quick-start/#linux","title":"Linux","text":"
  1. Linux download
  2. If your browser doesn't open, go to http://localhost:9898 in your preferred browser
"},{"location":"get-started/quick-start/#javascala-api","title":"Java/Scala API","text":"
git clone git@github.com:data-catering/data-caterer-example.git\ncd data-caterer-example && ./run.sh\n#check results under docker/sample/report/index.html folder\n
"},{"location":"get-started/quick-start/#report","title":"Report","text":"

Check the report generated under docker/data/custom/report/index.html.

Sample report can also be seen here.

"},{"location":"get-started/quick-start/#slow-start","title":"Slow start","text":""},{"location":"get-started/quick-start/#guided-tour","title":"Guided tour","text":"

Check out the starter guide here that will take your through step by step. You can also check the other guides here to see the other possibilities of what Data Caterer can achieve for you.

"},{"location":"legal/privacy-policy/","title":"Privacy Policy","text":"

Last updated September 25, 2023

"},{"location":"legal/privacy-policy/#data-caterer-policy-on-privacy-of-customer-personal-information","title":"Data Caterer Policy on Privacy of Customer Personal Information","text":"

Peter John Flook is committed to protecting the privacy and security of your personal information obtained by reason of your use of Data Caterer. This policy explains the types of customer personal information we collect, how it is used, and the steps we take to ensure your personal information is handled appropriately.

"},{"location":"legal/privacy-policy/#who-is-peter-john-flook","title":"Who is Peter John Flook?","text":"

For purposes of this Privacy Policy, \u201cPeter John Flook\u201d means Peter John Flook, the company developing and providing Data Caterer and related websites and services.

"},{"location":"legal/privacy-policy/#what-is-personal-information","title":"What is personal information?","text":"

Personal information is information that refers to an individual specifically and is recorded in any form. Personal information includes such things as age, income, date of birth, ethnic origin and credit records. Information about individuals contained in the following documents is not considered personal information:

  • public telephone directories, where the subscriber can refuse to be listed
  • professional and business directories available to the public
  • public registries and court records
  • other publicly available printed and electronic publications
"},{"location":"legal/privacy-policy/#we-are-accountable-to-you","title":"We are accountable to you","text":"

Peter John Flook is responsible for all personal information under its control. Our team is accountable for compliance with these privacy and security principles.

"},{"location":"legal/privacy-policy/#we-let-you-know-why-we-collect-and-use-your-personal-information-and-get-your-consent","title":"We let you know why we collect and use your personal information and get your consent","text":"

Peter John Flook identifies the purpose for which your personal information is collected and will be used or disclosed. If that purpose is not listed below we will do this before or at the time the information is actually being collected. You will be deemed to consent to our use of your personal information for the purpose of:

  • communicating with you generally
  • processing your purchases
  • processing and keeping track of transactions and reporting back to you
  • protecting against fraud or error
  • providing product and services requested by you
  • recommending products and services that Peter John Flook believes will be of interest and provide value to you
  • fulfilling any other purpose that would be reasonably apparent to the average person at the time we collect it from you

Otherwise, Peter John Flook will obtain your express consent (by verbal, written or electronic agreement) to collect, use or disclose your personal information. You can change your consent preferences at any time by contacting Peter John Flook (please refer to the \u201cHow to contact us\u201d section below).

"},{"location":"legal/privacy-policy/#we-limit-collection-of-your-personal-information","title":"We limit collection of your personal information","text":"

Peter John Flook collects only the information required to provide products and services to you. Peter John Flook will collect personal information only by clear, fair and lawful means.

We receive and store any information you enter on our website or give us in any other way. You can choose not to provide certain information, but then you might not be able to take advantage of many of our features.

Peter John Flook does not receive or store personal content saved to your local device while using Data Caterer.

We also receive and store certain types of information whenever you interact with us.

"},{"location":"legal/privacy-policy/#information-provided-to-stripe","title":"Information provided to Stripe","text":"

All purchases that are made through this site are processed securely and externally by Stripe. Unless you expressly consent otherwise, we do not see or have access to any personal information that you may provide to Stripe, other than information that is required in order to process your order and deliver your purchased items to you (eg, your name, email address and billing/postal address).

"},{"location":"legal/privacy-policy/#we-limit-disclosure-and-retention-of-your-personal-information","title":"We limit disclosure and retention of your personal information","text":"

Peter John Flook does not disclose personal information to any organization or person for any reason except the following:

We employ other companies and individuals to perform functions on our behalf. Examples include fulfilling orders, delivering packages, sending postal mail and e-mail, removing repetitive information from customer lists, analyzing data, providing marketing assistance, processing credit card payments, and providing customer service. They have access to personal information needed to perform their functions, but may not use it for other purposes. We may use service providers located outside of Australia, and, if applicable, your personal information may be processed and stored in other countries and therefore may be subject to disclosure under the laws of those countries. As we continue to develop our business, we might sell or buy stores, subsidiaries, or business units. In such transactions, customer information generally is one of the transferred business assets but remains subject to the promises made in any pre-existing Privacy Notice (unless, of course, the customer consents otherwise). Also, in the unlikely event that Peter John Flook or substantially all of its assets are acquired, customer information of course will be one of the transferred assets. You are deemed to consent to disclosure of your personal information for those purposes. If your personal information is shared with third parties, those third parties are bound by appropriate agreements with Peter John Flook to secure and protect the confidentiality of your personal information.

Peter John Flook retains your personal information only as long as it is required for our business relationship or as required by federal and provincial laws.

"},{"location":"legal/privacy-policy/#we-keep-your-personal-information-up-to-date-and-accurate","title":"We keep your personal information up to date and accurate","text":"

Peter John Flook keeps your personal information up to date, accurate and relevant for its intended use.

You may request access to the personal information we have on record in order to review and amend the information, as appropriate. In circumstances where your personal information has been provided by a third party, we will refer you to that party (e.g. credit bureaus). To access your personal information, refer to the \u201cHow to contact us\u201d section below.

"},{"location":"legal/privacy-policy/#the-security-of-your-personal-information-is-a-priority-for-peter-john-flook","title":"The security of your personal information is a priority for Peter John Flook","text":"

We take steps to safeguard your personal information, regardless of the format in which it is held, including:

physical security measures such as restricted access facilities and locked filing cabinets electronic security measures for computerized personal information such as password protection, database encryption and personal identification numbers. We work to protect the security of your information during transmission by using \u201cTransport Layer Security\u201d (TLS) protocol. organizational processes such as limiting access to your personal information to a selected group of individuals contractual obligations with third parties who need access to your personal information requiring them to protect and secure your personal information It\u2019s important for you to protect against unauthorized access to your password and your computer. Be sure to sign off when you\u2019ve finished using any shared computer.

"},{"location":"legal/privacy-policy/#what-about-third-party-advertisers-and-links-to-other-websites","title":"What About Third-Party Advertisers and Links to Other Websites?","text":"

Our site may include third-party advertising and links to other websites. We do not provide any personally identifiable customer information to these advertisers or third-party websites.

These third-party websites and advertisers, or Internet advertising companies working on their behalf, sometimes use technology to send (or \u201cserve\u201d) the advertisements that appear on our website directly to your browser. They automatically receive your IP address when this happens. They may also use cookies, JavaScript, web beacons (also known as action tags or single-pixel gifs), and other technologies to measure the effectiveness of their ads and to personalize advertising content. We do not have access to or control over cookies or other features that they may use, and the information practices of these advertisers and third-party websites are not covered by this Privacy Notice. Please contact them directly for more information about their privacy practices. In addition, the Network Advertising Initiative offers useful information about Internet advertising companies (also called \u201cad networks\u201d or \u201cnetwork advertisers\u201d), including information about how to opt-out of their information collection. You can access the Network Advertising Initiative at http://www.networkadvertising.org.

"},{"location":"legal/privacy-policy/#redirection-to-stripe","title":"Redirection to Stripe","text":"

In particular, when you submit an order to us, you may be automatically redirected to Stripe in order to complete the required payment. The payment page that is provided by Stripe is not part of this site. As noted above, we are not privy to any of the bank account, credit card or other personal information that you may provide to Stripe, other than information that is required in order to process your order and deliver your purchased items to you (eg, your name, email address and billing/postal address). We recommend that you refer to Stripe\u2019s privacy statement if you would like more information about how Stripe collects and handles your personal information.

"},{"location":"legal/privacy-policy/#we-are-open-about-our-privacy-and-security-policy","title":"We are open about our privacy and security policy","text":"

We are committed to providing you with understandable and easily available information about our policy and practices related to management of your personal information. This policy and any related information is available at all times on our website, https://data.catering/about/ under Privacy or on request. To contact us, refer to the \u201cHow to contact us\u201d section below.

"},{"location":"legal/privacy-policy/#we-provide-access-to-your-personal-information-stored-by-peter-john-flook","title":"We provide access to your personal information stored by Peter John Flook","text":"

You can request access to your personal information stored by Peter John Flook. To contact us, refer to the \u201cHow to contact us\u201d section below. Upon receiving such a request, Peter John Flook will:

inform you about what type of personal information we have on record or in our control, how it is used and to whom it may have been disclosed provide you with access to your information so you can review and verify the accuracy and completeness and request changes to the information make any necessary updates to your personal information We respond to your questions, concerns and complaints about privacy Peter John Flook responds in a timely manner to your questions, concerns and complaints about the privacy of your personal information and our privacy policies and procedures.

"},{"location":"legal/privacy-policy/#how-to-contact-us","title":"How to contact us","text":"
  • by email at peter.flook@data.catering

Our business changes constantly, and this privacy notice will change also. We may e-mail periodic reminders of our notices and conditions, unless you have instructed us not to, but you should check our website frequently to see recent changes. We are, however, committed to protecting your information and will never materially change our policies and practices to make them less protective of customer information collected in the past without the consent of affected customers.

"},{"location":"legal/terms-of-service/","title":"Terms and Conditions","text":"

Last updated: September 25, 2023

Please read these terms and conditions carefully before using Our Service.

"},{"location":"legal/terms-of-service/#interpretation-and-definitions","title":"Interpretation and Definitions","text":""},{"location":"legal/terms-of-service/#interpretation","title":"Interpretation","text":"

The words of which the initial letter is capitalized have meanings defined under the following conditions. The following definitions shall have the same meaning regardless of whether they appear in singular or in plural.

"},{"location":"legal/terms-of-service/#definitions","title":"Definitions","text":"

For the purposes of these Terms and Conditions:

  • Application means the software program provided by the Company downloaded by You on any electronic device, named Data Caterer
  • Application Store means the digital distribution service operated and developed by Docker Inc. (\u201cDocker\u201d) in which the Application has been downloaded.
  • Affiliate means an entity that controls, is controlled by or is under common control with a party, where \"control\" means ownership of 50% or more of the shares, equity interest or other securities entitled to vote for election of directors or other managing authority.
  • Country refers to: New South Wales, Australia
  • Company (referred to as either \"the Company\", \"We\", \"Us\" or \"Our\" in this Agreement) refers to Peter John Flook ( ABN: 65153160916), 30 Anne William Drive, West Pennant Hills, 2125, NSW, Australia.
  • Device means any device that can access the Service such as a computer, a cellphone or a digital tablet.
  • Service refers to the Application.
  • Terms and Conditions (also referred as \"Terms\") mean these Terms and Conditions that form the entire agreement between You and the Company regarding the use of the Service.
  • Third-party Social Media Service means any services or content (including data, information, products or services) provided by a third party that may be displayed, included or made available by the Service.
  • You means the individual accessing or using the Service, or the company, or other legal entity on behalf of which such individual is accessing or using the Service, as applicable.
"},{"location":"legal/terms-of-service/#acknowledgment","title":"Acknowledgment","text":"

These are the Terms and Conditions governing the use of this Service and the agreement that operates between You and the Company. These Terms and Conditions set out the rights and obligations of all users regarding the use of the Service.

Your access to and use of the Service is conditioned on Your acceptance of and compliance with these Terms and Conditions. These Terms and Conditions apply to all visitors, users and others who access or use the Service.

By accessing or using the Service You agree to be bound by these Terms and Conditions. If You disagree with any part of these Terms and Conditions then You may not access the Service.

You represent that you are over the age of 18. The Company does not permit those under 18 to use the Service.

Your access to and use of the Service is also conditioned on Your acceptance of and compliance with the Privacy Policy of the Company. Our Privacy Policy describes Our policies and procedures on the collection, use and disclosure of Your personal information when You use the Application or the Website and tells You about Your privacy rights and how the law protects You. Please read Our Privacy Policy carefully before using Our Service.

"},{"location":"legal/terms-of-service/#links-to-other-websites","title":"Links to Other Websites","text":"

Our Service may contain links to third-party websites or services that are not owned or controlled by the Company.

The Company has no control over, and assumes no responsibility for, the content, privacy policies, or practices of any third party websites or services. You further acknowledge and agree that the Company shall not be responsible or liable, directly or indirectly, for any damage or loss caused or alleged to be caused by or in connection with the use of or reliance on any such content, goods or services available on or through any such websites or services.

We strongly advise You to read the terms and conditions and privacy policies of any third-party websites or services that You visit.

"},{"location":"legal/terms-of-service/#termination","title":"Termination","text":"

We may terminate or suspend Your access immediately, without prior notice or liability, for any reason whatsoever, including without limitation if You breach these Terms and Conditions.

Upon termination, Your right to use the Service will cease immediately.

"},{"location":"legal/terms-of-service/#limitation-of-liability","title":"Limitation of Liability","text":"

Notwithstanding any damages that You might incur, the entire liability of the Company and any of its suppliers under any provision of these Terms and Your exclusive remedy for all the foregoing shall be limited to the amount actually paid by You through the Service or 100 USD if You haven't purchased anything through the Service.

To the maximum extent permitted by applicable law, in no event shall the Company or its suppliers be liable for any special, incidental, indirect, or consequential damages whatsoever (including, but not limited to, damages for loss of profits, loss of data or other information, for business interruption, for personal injury, loss of privacy arising out of or in any way related to the use of or inability to use the Service, third-party software and/or third-party hardware used with the Service, or otherwise in connection with any provision of these Terms), even if the Company or any supplier has been advised of the possibility of such damages and even if the remedy fails of its essential purpose.

Some states do not allow the exclusion of implied warranties or limitation of liability for incidental or consequential damages, which means that some of the above limitations may not apply. In these states, each party's liability will be limited to the greatest extent permitted by law.

"},{"location":"legal/terms-of-service/#as-is-and-as-available-disclaimer","title":"\"AS IS\" and \"AS AVAILABLE\" Disclaimer","text":"

The Service is provided to You \"AS IS\" and \"AS AVAILABLE\" and with all faults and defects without warranty of any kind. To the maximum extent permitted under applicable law, the Company, on its own behalf and on behalf of its Affiliates and its and their respective licensors and service providers, expressly disclaims all warranties, whether express, implied, statutory or otherwise, with respect to the Service, including all implied warranties of merchantability, fitness for a particular purpose, title and non-infringement, and warranties that may arise out of course of dealing, course of performance, usage or trade practice. Without limitation to the foregoing, the Company provides no warranty or undertaking, and makes no representation of any kind that the Service will meet Your requirements, achieve any intended results, be compatible or work with any other software, applications, systems or services, operate without interruption, meet any performance or reliability standards or be error free or that any errors or defects can or will be corrected.

Without limiting the foregoing, neither the Company nor any of the company's provider makes any representation or warranty of any kind, express or implied: (i) as to the operation or availability of the Service, or the information, content, and materials or products included thereon; (ii) that the Service will be uninterrupted or error-free; (iii) as to the accuracy, reliability, or currency of any information or content provided through the Service; or (iv) that the Service, its servers, the content, or e-mails sent from or on behalf of the Company are free of viruses, scripts, trojan horses, worms, malware, time-bombs or other harmful components.

Some jurisdictions do not allow the exclusion of certain types of warranties or limitations on applicable statutory rights of a consumer, so some or all of the above exclusions and limitations may not apply to You. But in such a case the exclusions and limitations set forth in this section shall be applied to the greatest extent enforceable under applicable law.

"},{"location":"legal/terms-of-service/#governing-law","title":"Governing Law","text":"

The laws of the Country, excluding its conflicts of law rules, shall govern this Terms and Your use of the Service. Your use of the Application may also be subject to other local, state, national, or international laws.

"},{"location":"legal/terms-of-service/#disputes-resolution","title":"Disputes Resolution","text":"

If You have any concern or dispute about the Service, You agree to first try to resolve the dispute informally by contacting the Company.

"},{"location":"legal/terms-of-service/#for-european-union-eu-users","title":"For European Union (EU) Users","text":"

If You are a European Union consumer, you will benefit from any mandatory provisions of the law of the country in which you are resident in.

"},{"location":"legal/terms-of-service/#united-states-legal-compliance","title":"United States Legal Compliance","text":"

You represent and warrant that (i) You are not located in a country that is subject to the United States government embargo, or that has been designated by the United States government as a \"terrorist supporting\" country, and (ii) You are not listed on any United States government list of prohibited or restricted parties.

"},{"location":"legal/terms-of-service/#severability-and-waiver","title":"Severability and Waiver","text":""},{"location":"legal/terms-of-service/#severability","title":"Severability","text":"

If any provision of these Terms is held to be unenforceable or invalid, such provision will be changed and interpreted to accomplish the objectives of such provision to the greatest extent possible under applicable law and the remaining provisions will continue in full force and effect.

"},{"location":"legal/terms-of-service/#waiver","title":"Waiver","text":"

Except as provided herein, the failure to exercise a right or to require performance of an obligation under these Terms shall not affect a party's ability to exercise such right or require such performance at any time thereafter nor shall the waiver of a breach constitute a waiver of any subsequent breach.

"},{"location":"legal/terms-of-service/#translation-interpretation","title":"Translation Interpretation","text":"

These Terms and Conditions may have been translated if We have made them available to You on our Service. You agree that the original English text shall prevail in the case of a dispute.

"},{"location":"legal/terms-of-service/#changes-to-these-terms-and-conditions","title":"Changes to These Terms and Conditions","text":"

We reserve the right, at Our sole discretion, to modify or replace these Terms at any time. If a revision is material We will make reasonable efforts to provide at least 30 days' notice prior to any new terms taking effect. What constitutes a material change will be determined at Our sole discretion.

By continuing to access or use Our Service after those revisions become effective, You agree to be bound by the revised terms. If You do not agree to the new terms, in whole or in part, please stop using the website and the Service.

"},{"location":"legal/terms-of-service/#contact-us","title":"Contact Us","text":"

If you have any questions about these Terms and Conditions, You can contact us:

  • By email: peter.flook@data.catering
"},{"location":"sample/demo/demo-index/","title":"Demo index","text":""},{"location":"sample/demo/demo-index/#what-does-it-look-like","title":"What does it look like","text":"

Play around with the example below to see how Data Caterer can generate transaction data, validate it and then clean it up.

*This is for illustrative purposes

Generate Validate Cleanup

"},{"location":"setup/","title":"Setup","text":"

All the configurations and customisation related to Data Caterer can be found under here.

"},{"location":"setup/#guide","title":"Guide","text":"

If you want a guided tour of using the Java or Scala API, you can follow one of the guides found here.

"},{"location":"setup/#specific-configuration","title":"Specific Configuration","text":"
  • Configurations - Configurations relating to feature flags, folder pathways, metadata analysis
  • Connections - Explore the data source connections available
  • Generators - Choose and configure the type of generator you want used for fields
  • Validations - How to validate data to ensure your system is performing as expected
  • Foreign Keys - Define links between data elements across data sources
  • Deployment - Deploy Data Caterer as a job to your chosen environment
  • Advanced - Advanced usage of Data Caterer
"},{"location":"setup/#high-level-run-configurations","title":"High Level Run Configurations","text":""},{"location":"setup/advanced/","title":"Advanced use cases","text":""},{"location":"setup/advanced/#special-data-formats","title":"Special data formats","text":"

There are many options available for you to use when you have a scenario when data has to be a certain format.

  1. Create expression datafaker
    1. Can be used to create names, addresses, or anything that can be found under here
  2. Create regex
"},{"location":"setup/advanced/#foreign-keys-across-data-sets","title":"Foreign keys across data sets","text":"

Details for how you can configure foreign keys can be found here.

"},{"location":"setup/advanced/#edge-cases","title":"Edge cases","text":"

For each given data type, there are edge cases which can cause issues when your application processes the data. This can be controlled at a column level by including the following flag in the generator options:

JavaScalaYAML
field()\n  .name(\"amount\")\n  .type(DoubleType.instance())\n  .enableEdgeCases(true)\n  .edgeCaseProbability(0.1)\n
field\n  .name(\"amount\")\n  .`type`(DoubleType)\n  .enableEdgeCases(true)\n  .edgeCaseProbability(0.1)\n
fields:\n  - name: \"amount\"\n    type: \"double\"\n    generator:\n      type: \"random\"\n      options:\n        enableEdgeCases: \"true\"\n        edgeCaseProb: 0.1\n

If you want to know all the possible edge cases for each data type, can check the documentation here.

"},{"location":"setup/advanced/#scenario-testing","title":"Scenario testing","text":"

You can create specific scenarios by adjusting the metadata found in the plan and tasks to your liking. For example, if you had two data sources, a Postgres database and a parquet file, and you wanted to save account data into Postgres and transactions related to those accounts into a parquet file. You can alter the status column in the account data to only generate open accounts and define a foreign key between Postgres and parquet to ensure the same account_id is being used. Then in the parquet task, define 1 to 10 transactions per account_id to be generated.

Postgres account generation example task Parquet transaction generation example task Plan

"},{"location":"setup/advanced/#cloud-storage","title":"Cloud storage","text":""},{"location":"setup/advanced/#data-source","title":"Data source","text":"

If you want to save the file types CSV, JSON, Parquet or ORC into cloud storage, you can do so via adding extra configurations. Below is an example for S3.

JavaScalaYAML
var csvTask = csv(\"my_csv\", \"s3a://my-bucket/csv/accounts\")\n  .schema(\n    field().name(\"account_id\"),\n    ...\n  );\n\nvar s3Configuration = configuration()\n  .runtimeConfig(Map.of(\n    \"spark.hadoop.fs.s3a.directory.marker.retention\", \"keep\",\n    \"spark.hadoop.fs.s3a.bucket.all.committer.magic.enabled\", \"true\",\n    \"spark.hadoop.fs.defaultFS\", \"s3a://my-bucket\",\n    //can change to other credential providers as shown here\n    //https://hadoop.apache.org/docs/stable/hadoop-aws/tools/hadoop-aws/index.html#Changing_Authentication_Providers\n    \"spark.hadoop.fs.s3a.aws.credentials.provider\", \"org.apache.hadoop.fs.s3a.SimpleAWSCredentialsProvider\",\n    \"spark.hadoop.fs.s3a.access.key\", \"access_key\",\n    \"spark.hadoop.fs.s3a.secret.key\", \"secret_key\"\n  ));\n\nexecute(s3Configuration, csvTask);\n
val csvTask = csv(\"my_csv\", \"s3a://my-bucket/csv/accounts\")\n  .schema(\n    field.name(\"account_id\"),\n    ...\n  )\n\nval s3Configuration = configuration\n  .runtimeConfig(Map(\n    \"spark.hadoop.fs.s3a.directory.marker.retention\" -> \"keep\",\n    \"spark.hadoop.fs.s3a.bucket.all.committer.magic.enabled\" -> \"true\",\n    \"spark.hadoop.fs.defaultFS\" -> \"s3a://my-bucket\",\n    //can change to other credential providers as shown here\n    //https://hadoop.apache.org/docs/stable/hadoop-aws/tools/hadoop-aws/index.html#Changing_Authentication_Providers\n    \"spark.hadoop.fs.s3a.aws.credentials.provider\" -> \"org.apache.hadoop.fs.s3a.SimpleAWSCredentialsProvider\",\n    \"spark.hadoop.fs.s3a.access.key\" -> \"access_key\",\n    \"spark.hadoop.fs.s3a.secret.key\" -> \"secret_key\"\n  ))\n\nexecute(s3Configuration, csvTask)\n
folders {\n   generatedPlanAndTaskFolderPath = \"s3a://my-bucket/data-caterer/generated\"\n   planFilePath = \"s3a://my-bucket/data-caterer/generated/plan/customer-create-plan.yaml\"\n   taskFolderPath = \"s3a://my-bucket/data-caterer/generated/task\"\n}\n\nruntime {\n    config {\n        ...\n        #S3\n        \"spark.hadoop.fs.s3a.directory.marker.retention\" = \"keep\"\n        \"spark.hadoop.fs.s3a.bucket.all.committer.magic.enabled\" = \"true\"\n        \"spark.hadoop.fs.defaultFS\" = \"s3a://my-bucket\"\n        #can change to other credential providers as shown here\n        #https://hadoop.apache.org/docs/stable/hadoop-aws/tools/hadoop-aws/index.html#Changing_Authentication_Providers\n        \"spark.hadoop.fs.s3a.aws.credentials.provider\" = \"org.apache.hadoop.fs.s3a.SimpleAWSCredentialsProvider\"\n        \"spark.hadoop.fs.s3a.access.key\" = \"access_key\"\n        \"spark.hadoop.fs.s3a.secret.key\" = \"secret_key\"\n   }\n}\n
"},{"location":"setup/advanced/#storing-plantasks","title":"Storing plan/task(s)","text":"

You can generate and store the plan/task files inside either AWS S3, Azure Blob Storage or Google GCS. This can be controlled via configuration set in the application.conf file where you can set something like the below:

JavaScalaYAML
configuration()\n  .generatedReportsFolderPath(\"s3a://my-bucket/data-caterer/generated\")\n  .planFilePath(\"s3a://my-bucket/data-caterer/generated/plan/customer-create-plan.yaml\")\n  .taskFolderPath(\"s3a://my-bucket/data-caterer/generated/task\")\n  .runtimeConfig(Map.of(\n    \"spark.hadoop.fs.s3a.directory.marker.retention\", \"keep\",\n    \"spark.hadoop.fs.s3a.bucket.all.committer.magic.enabled\", \"true\",\n    \"spark.hadoop.fs.defaultFS\", \"s3a://my-bucket\",\n    //can change to other credential providers as shown here\n    //https://hadoop.apache.org/docs/stable/hadoop-aws/tools/hadoop-aws/index.html#Changing_Authentication_Providers\n    \"spark.hadoop.fs.s3a.aws.credentials.provider\", \"org.apache.hadoop.fs.s3a.SimpleAWSCredentialsProvider\",\n    \"spark.hadoop.fs.s3a.access.key\", \"access_key\",\n    \"spark.hadoop.fs.s3a.secret.key\", \"secret_key\"\n  ));\n
configuration\n  .generatedReportsFolderPath(\"s3a://my-bucket/data-caterer/generated\")\n  .planFilePath(\"s3a://my-bucket/data-caterer/generated/plan/customer-create-plan.yaml\")\n  .taskFolderPath(\"s3a://my-bucket/data-caterer/generated/task\")\n  .runtimeConfig(Map(\n    \"spark.hadoop.fs.s3a.directory.marker.retention\" -> \"keep\",\n    \"spark.hadoop.fs.s3a.bucket.all.committer.magic.enabled\" -> \"true\",\n    \"spark.hadoop.fs.defaultFS\" -> \"s3a://my-bucket\",\n    //can change to other credential providers as shown here\n    //https://hadoop.apache.org/docs/stable/hadoop-aws/tools/hadoop-aws/index.html#Changing_Authentication_Providers\n    \"spark.hadoop.fs.s3a.aws.credentials.provider\" -> \"org.apache.hadoop.fs.s3a.SimpleAWSCredentialsProvider\",\n    \"spark.hadoop.fs.s3a.access.key\" -> \"access_key\",\n    \"spark.hadoop.fs.s3a.secret.key\" -> \"secret_key\"\n  ))\n
folders {\n   generatedPlanAndTaskFolderPath = \"s3a://my-bucket/data-caterer/generated\"\n   planFilePath = \"s3a://my-bucket/data-caterer/generated/plan/customer-create-plan.yaml\"\n   taskFolderPath = \"s3a://my-bucket/data-caterer/generated/task\"\n}\n\nruntime {\n    config {\n        ...\n        #S3\n        \"spark.hadoop.fs.s3a.directory.marker.retention\" = \"keep\"\n        \"spark.hadoop.fs.s3a.bucket.all.committer.magic.enabled\" = \"true\"\n        \"spark.hadoop.fs.defaultFS\" = \"s3a://my-bucket\"\n        #can change to other credential providers as shown here\n        #https://hadoop.apache.org/docs/stable/hadoop-aws/tools/hadoop-aws/index.html#Changing_Authentication_Providers\n        \"spark.hadoop.fs.s3a.aws.credentials.provider\" = \"org.apache.hadoop.fs.s3a.SimpleAWSCredentialsProvider\"\n        \"spark.hadoop.fs.s3a.access.key\" = \"access_key\"\n        \"spark.hadoop.fs.s3a.secret.key\" = \"secret_key\"\n   }\n}\n
"},{"location":"setup/configuration/","title":"Configuration","text":"

A number of configurations can be made and customised within Data Caterer to help control what gets run and/or where any metadata gets saved.

These configurations are defined from within your Java or Scala class via configuration or for YAML file setup, application.conf file as seen here.

"},{"location":"setup/configuration/#flags","title":"Flags","text":"

Flags are used to control which processes are executed when you run Data Caterer.

Config Default Paid Description enableGenerateData true N Enable/disable data generation enableCount true N Count the number of records generated. Can be disabled to improve performance enableFailOnError true N Whilst saving generated data, if there is an error, it will stop any further data from being generated enableSaveReports true N Enable/disable HTML reports summarising data generated, metadata of data generated (if enableSinkMetadata is enabled) and validation results (if enableValidation is enabled). Sample here enableSinkMetadata true N Run data profiling for the generated data. Shown in HTML reports if enableSaveSinkMetadata is enabled enableValidation false N Run validations as described in plan. Results can be viewed from logs or from HTML report if enableSaveSinkMetadata is enabled. Sample here enableUniqueCheck false N If enabled, for any isUnique fields, will ensure only unique values are generated enableAlerts true N Enable/disable alerts to be sent enableGeneratePlanAndTasks false Y Enable/disable plan and task auto generation based off data source connections enableRecordTracking false Y Enable/disable which data records have been generated for any data source enableDeleteGeneratedRecords false Y Delete all generated records based off record tracking (if enableRecordTracking has been set to true) enableGenerateValidations false Y If enabled, it will generate validations based on the data sources defined. JavaScalaapplication.conf
configuration()\n  .enableGenerateData(true)\n  .enableCount(true)\n  .enableFailOnError(true)\n  .enableSaveReports(true)\n  .enableSinkMetadata(true)\n  .enableValidation(false)\n  .enableUniqueCheck(true)\n  .enableAlerts(true)\n  .enableGeneratePlanAndTasks(false)\n  .enableRecordTracking(false)\n  .enableDeleteGeneratedRecords(false)\n  .enableGenerateValidations(false);\n
configuration\n  .enableGenerateData(true)\n  .enableCount(true)\n  .enableFailOnError(true)\n  .enableSaveReports(true)\n  .enableSinkMetadata(true)\n  .enableValidation(false)\n  .enableUniqueCheck(true)\n  .enableAlerts(true)\n  .enableGeneratePlanAndTasks(false)\n  .enableRecordTracking(false)\n  .enableDeleteGeneratedRecords(false)\n  .enableGenerateValidations(false)\n
flags {\n  enableCount = false\n  enableCount = ${?ENABLE_COUNT}\n  enableGenerateData = true\n  enableGenerateData = ${?ENABLE_GENERATE_DATA}\n  enableFailOnError = true\n  enableFailOnError = ${?ENABLE_FAIL_ON_ERROR}\n  enableGeneratePlanAndTasks = false\n  enableGeneratePlanAndTasks = ${?ENABLE_GENERATE_PLAN_AND_TASKS}\n  enableRecordTracking = false\n  enableRecordTracking = ${?ENABLE_RECORD_TRACKING}\n  enableDeleteGeneratedRecords = false\n  enableDeleteGeneratedRecords = ${?ENABLE_DELETE_GENERATED_RECORDS}\n  enableUniqueCheck = true\n  enableUniqueCheck = ${?ENABLE_UNIQUE_CHECK}\n  enableSinkMetadata = true\n  enableSinkMetadata = ${?ENABLE_SINK_METADATA}\n  enableSaveReports = true\n  enableSaveReports = ${?ENABLE_SAVE_REPORTS}\n  enableValidation = false\n  enableValidation = ${?ENABLE_VALIDATION}\n  enableGenerateValidations = false\n  enableGenerateValidations = ${?ENABLE_GENERATE_VALIDATIONS}\n  enableAlerts = false\n  enableAlerts = ${?ENABLE_ALERTS}\n}\n
"},{"location":"setup/configuration/#folders","title":"Folders","text":"

Depending on which flags are enabled, there are folders that get used to save metadata, store HTML reports or track the records generated.

These folder pathways can be defined as a cloud storage pathway (i.e. s3a://my-bucket/task).

Config Default Paid Description planFilePath /opt/app/plan/customer-create-plan.yaml N Plan file path to use when generating and/or validating data taskFolderPath /opt/app/task N Task folder path that contains all the task files (can have nested directories) validationFolderPath /opt/app/validation N Validation folder path that contains all the validation files (can have nested directories) generatedReportsFolderPath /opt/app/report N Where HTML reports get generated that contain information about data generated along with any validations performed generatedPlanAndTaskFolderPath /tmp Y Folder path where generated plan and task files will be saved recordTrackingFolderPath /opt/app/record-tracking Y Where record tracking parquet files get saved recordTrackingForValidationFolderPath /opt/app/record-tracking-validation Y Where record tracking parquet files get saved for the purpose of validation JavaScalaapplication.conf
configuration()\n  .planFilePath(\"/opt/app/custom/plan/postgres-plan.yaml\")\n  .taskFolderPath(\"/opt/app/custom/task\")\n  .validationFolderPath(\"/opt/app/custom/validation\")\n  .generatedReportsFolderPath(\"/opt/app/custom/report\")\n  .generatedPlanAndTaskFolderPath(\"/opt/app/custom/generated\")\n  .recordTrackingFolderPath(\"/opt/app/custom/record-tracking\")\n  .recordTrackingForValidationFolderPath(\"/opt/app/custom/record-tracking-validation\");\n
configuration\n  .planFilePath(\"/opt/app/custom/plan/postgres-plan.yaml\")\n  .taskFolderPath(\"/opt/app/custom/task\")\n  .validationFolderPath(\"/opt/app/custom/validation\")\n  .generatedReportsFolderPath(\"/opt/app/custom/report\")\n  .generatedPlanAndTaskFolderPath(\"/opt/app/custom/generated\")\n  .recordTrackingFolderPath(\"/opt/app/custom/record-tracking\")\n  .recordTrackingForValidationFolderPath(\"/opt/app/custom/record-tracking-validation\")\n
folders {\n  planFilePath = \"/opt/app/custom/plan/postgres-plan.yaml\"\n  planFilePath = ${?PLAN_FILE_PATH}\n  taskFolderPath = \"/opt/app/custom/task\"\n  taskFolderPath = ${?TASK_FOLDER_PATH}\n  validationFolderPath = \"/opt/app/custom/validation\"\n  validationFolderPath = ${?VALIDATION_FOLDER_PATH}\n  generatedReportsFolderPath = \"/opt/app/custom/report\"\n  generatedReportsFolderPath = ${?GENERATED_REPORTS_FOLDER_PATH}\n  generatedPlanAndTaskFolderPath = \"/opt/app/custom/generated\"\n  generatedPlanAndTaskFolderPath = ${?GENERATED_PLAN_AND_TASK_FOLDER_PATH}\n  recordTrackingFolderPath = \"/opt/app/custom/record-tracking\"\n  recordTrackingFolderPath = ${?RECORD_TRACKING_FOLDER_PATH}\n  recordTrackingForValidationFolderPath = \"/opt/app/custom/record-tracking-validation\"\n  recordTrackingForValidationFolderPath = ${?RECORD_TRACKING_VALIDATION_FOLDER_PATH}\n}\n
"},{"location":"setup/configuration/#metadata","title":"Metadata","text":"

When metadata gets generated, there are some configurations that can be altered to help with performance or accuracy related issues. Metadata gets generated from two processes: 1) if enableGeneratePlanAndTasks or 2) if enableSinkMetadata are enabled.

During the generation of plan and tasks, data profiling is used to create the metadata for each of the fields defined in the data source. You may face issues if the number of records in the data source is large as data profiling is an expensive task. Similarly, it can be expensive when analysing the generated data if the number of records generated is large.

Config Default Paid Description numRecordsFromDataSource 10000 Y Number of records read in from the data source that could be used for data profiling numRecordsForAnalysis 10000 Y Number of records used for data profiling from the records gathered in numRecordsFromDataSource oneOfMinCount 1000 Y Minimum number of records required before considering if a field can be of type oneOf oneOfDistinctCountVsCountThreshold 0.2 Y Threshold ratio to determine if a field is of type oneOf (i.e. a field called status that only contains open or closed. Distinct count = 2, total count = 10, ratio = 2 / 10 = 0.2 therefore marked as oneOf) numGeneratedSamples 10 N Number of sample records from generated data to take. Shown in HTML report JavaScalaapplication.conf
configuration()\n  .numRecordsFromDataSourceForDataProfiling(10000)\n  .numRecordsForAnalysisForDataProfiling(10000)\n  .oneOfMinCount(1000)\n  .oneOfDistinctCountVsCountThreshold(1000)\n  .numGeneratedSamples(10);\n
configuration\n  .numRecordsFromDataSourceForDataProfiling(10000)\n  .numRecordsForAnalysisForDataProfiling(10000)\n  .oneOfMinCount(1000)\n  .oneOfDistinctCountVsCountThreshold(1000)\n  .numGeneratedSamples(10)\n
metadata {\n  numRecordsFromDataSource = 10000\n  numRecordsForAnalysis = 10000\n  oneOfMinCount = 1000\n  oneOfDistinctCountVsCountThreshold = 0.2\n  numGeneratedSamples = 10\n}\n
"},{"location":"setup/configuration/#generation","title":"Generation","text":"

When generating data, you may have some limitations such as limited CPU or memory, large number of data sources, or data sources prone to failure under load. To help alleviate these issues or speed up performance, you can control the number of records that get generated in each batch.

Config Default Paid Description numRecordsPerBatch 100000 N Number of records across all data sources to generate per batch numRecordsPerStep N Overrides the count defined in each step with this value if defined (i.e. if set to 1000, for each step, 1000 records will be generated) JavaScalaapplication.conf
configuration()\n  .numRecordsPerBatch(100000)\n  .numRecordsPerStep(1000);\n
configuration\n  .numRecordsPerBatch(100000)\n  .numRecordsPerStep(1000)\n
generation {\n  numRecordsPerBatch = 100000\n  numRecordsPerStep = 1000\n}\n
"},{"location":"setup/configuration/#validation","title":"Validation","text":"

Configurations to alter how validations are executed.

Config Default Paid Description numSampleErrorRecords 5 N Number of error sample records to retrieve and display in generated HTML report. Increase to help debugging data issues enableDeleteRecordTrackingFiles true Y After validations are complete, delete record tracking files that were used for validation purposes (enabled via enableRecordTracking) JavaScalaapplication.conf
configuration()\n  .numSampleErrorRecords(10)\n  .enableDeleteRecordTrackingFiles(false);\n
configuration\n  .numSampleErrorRecords(10)\n  .enableDeleteRecordTrackingFiles(false)\n
validatoin {\n  numSampleErrorRecords = 10\n  enableDeleteRecordTrackingFiles = false\n}\n
"},{"location":"setup/configuration/#runtime","title":"Runtime","text":"

Given Data Caterer uses Spark as the base framework for data processing, you can configure the job as to your specifications via configuration as seen here.

JavaScalaapplication.conf
configuration()\n  .master(\"local[*]\")\n  .runtimeConfig(Map.of(\"spark.driver.cores\", \"5\"))\n  .addRuntimeConfig(\"spark.driver.memory\", \"10g\");\n
configuration\n  .master(\"local[*]\")\n  .runtimeConfig(Map(\"spark.driver.cores\" -> \"5\"))\n  .addRuntimeConfig(\"spark.driver.memory\" -> \"10g\")\n
runtime {\n  master = \"local[*]\"\n  master = ${?DATA_CATERER_MASTER}\n  config {\n    \"spark.driver.cores\" = \"5\"\n    \"spark.driver.memory\" = \"10g\"\n  }\n}\n
"},{"location":"setup/connection/","title":"Data Source Connections","text":"

Details of all the connection configuration supported can be found in the below subsections for each type of connection.

These configurations can be done via API or from configuration. Examples of both are shown for each data source below.

"},{"location":"setup/connection/#supported-data-connections","title":"Supported Data Connections","text":"Data Source Type Data Source Support Free Cloud Storage AWS S3 Cloud Storage Azure Blob Storage Cloud Storage GCP Cloud Storage Database Cassandra Database MySQL Database Postgres Database Elasticsearch Database MongoDB Database Opensearch File CSV File Delta Lake File Iceberg File JSON File ORC File Parquet File Hudi HTTP REST API Messaging Kafka Messaging Solace Messaging ActiveMQ Messaging Pulsar Messaging RabbitMQ Metadata Great Expectations Metadata Marquez Metadata OpenMetadata Metadata OpenAPI/Swagger Metadata Amundsen Metadata Datahub Metadata Solace Event Portal"},{"location":"setup/connection/#api","title":"API","text":"

All connection details require a name. Depending on the data source, you can define additional options which may be used by the driver or connector for connecting to the data source.

"},{"location":"setup/connection/#configuration-file","title":"Configuration file","text":"

All connection details follow the same pattern.

<connection format> {\n    <connection name> {\n        <key> = <value>\n    }\n}\n

Overriding configuration

When defining a configuration value that can be defined by a system property or environment variable at runtime, you can define that via the following:

url = \"localhost\"\nurl = ${?POSTGRES_URL}\n

The above defines that if there is a system property or environment variable named POSTGRES_URL, then that value will be used for the url, otherwise, it will default to localhost.

"},{"location":"setup/connection/#data-sources","title":"Data sources","text":"

To find examples of a task for each type of data source, please check out this page.

"},{"location":"setup/connection/#file","title":"File","text":"

Linked here is a list of generic options that can be included as part of your file data source configuration if required. Links to specific file type configurations can be found below.

"},{"location":"setup/connection/#csv","title":"CSV","text":"JavaScalaYAML
csv(\"customer_transactions\", \"/data/customer/transaction\")\n
csv(\"customer_transactions\", \"/data/customer/transaction\")\n

In application.conf:

csv {\n  customer_transactions {\n    path = \"/data/customer/transaction\"\n    path = ${?CSV_PATH}\n  }\n}\n

Other available configuration for CSV can be found here

"},{"location":"setup/connection/#json","title":"JSON","text":"JavaScalaYAML
json(\"customer_transactions\", \"/data/customer/transaction\")\n
json(\"customer_transactions\", \"/data/customer/transaction\")\n

In application.conf:

json {\n  customer_transactions {\n    path = \"/data/customer/transaction\"\n    path = ${?JSON_PATH}\n  }\n}\n

Other available configuration for JSON can be found here

"},{"location":"setup/connection/#orc","title":"ORC","text":"JavaScalaYAML
orc(\"customer_transactions\", \"/data/customer/transaction\")\n
orc(\"customer_transactions\", \"/data/customer/transaction\")\n

In application.conf:

orc {\n  customer_transactions {\n    path = \"/data/customer/transaction\"\n    path = ${?ORC_PATH}\n  }\n}\n

Other available configuration for ORC can be found here

"},{"location":"setup/connection/#parquet","title":"Parquet","text":"JavaScalaYAML
parquet(\"customer_transactions\", \"/data/customer/transaction\")\n
parquet(\"customer_transactions\", \"/data/customer/transaction\")\n

In application.conf:

parquet {\n  customer_transactions {\n    path = \"/data/customer/transaction\"\n    path = ${?PARQUET_PATH}\n  }\n}\n

Other available configuration for Parquet can be found here

"},{"location":"setup/connection/#delta","title":"Delta","text":"JavaScalaYAML
delta(\"customer_transactions\", \"/data/customer/transaction\")\n
delta(\"customer_transactions\", \"/data/customer/transaction\")\n

In application.conf:

delta {\n  customer_transactions {\n    path = \"/data/customer/transaction\"\n    path = ${?DELTA_PATH}\n  }\n}\n

"},{"location":"setup/connection/#iceberg","title":"Iceberg","text":"JavaScalaYAML
iceberg(\n  \"customer_accounts\",              //name\n  \"account.accounts\",               //table name\n  \"/opt/app/data/customer/iceberg\", //warehouse path\n  \"hadoop\",                         //catalog type\n  \"\",                               //catalogUri\n  Map.of()                          //additional options\n);\n
iceberg(\n  \"customer_accounts\",              //name\n  \"account.accounts\",               //table name\n  \"/opt/app/data/customer/iceberg\", //warehouse path\n  \"hadoop\",                         //catalog type\n  \"\",                               //catalogUri\n  Map()                             //additional options\n)\n

In application.conf:

iceberg {\n  customer_transactions {\n    path = \"/opt/app/data/customer/iceberg\"\n    path = ${?ICEBERG_WAREHOUSE_PATH}\n    catalogType = \"hadoop\"\n    catalogType = ${?ICEBERG_CATALOG_TYPE}\n    catalogUri = \"\"\n    catalogUri = ${?ICEBERG_CATALOG_URI}\n  }\n}\n

"},{"location":"setup/connection/#rmdbs","title":"RMDBS","text":"

Follows the same configuration used by Spark as found here. Sample can be found below

JavaScalaYAML
postgres(\n    \"customer_postgres\",                            #name\n    \"jdbc:postgresql://localhost:5432/customer\",    #url\n    \"postgres\",                                     #username\n    \"postgres\"                                      #password\n)\n
postgres(\n    \"customer_postgres\",                            #name\n    \"jdbc:postgresql://localhost:5432/customer\",    #url\n    \"postgres\",                                     #username\n    \"postgres\"                                      #password\n)\n

In application.conf:

jdbc {\n    customer_postgres {\n        url = \"jdbc:postgresql://localhost:5432/customer\"\n        url = ${?POSTGRES_URL}\n        user = \"postgres\"\n        user = ${?POSTGRES_USERNAME}\n        password = \"postgres\"\n        password = ${?POSTGRES_PASSWORD}\n        driver = \"org.postgresql.Driver\"\n    }\n}\n

Ensure that the user has write permission, so it is able to save the table to the target tables.

SQL Permission Statements
GRANT INSERT ON <schema>.<table> TO <user>;\n
"},{"location":"setup/connection/#postgres","title":"Postgres","text":"

Can see example API or Config definition for Postgres connection above.

"},{"location":"setup/connection/#permissions","title":"Permissions","text":"

Following permissions are required when generating plan and tasks:

SQL Permission Statements
GRANT SELECT ON information_schema.tables TO < user >;\nGRANT SELECT ON information_schema.columns TO < user >;\nGRANT SELECT ON information_schema.key_column_usage TO < user >;\nGRANT SELECT ON information_schema.table_constraints TO < user >;\nGRANT SELECT ON information_schema.constraint_column_usage TO < user >;\n
"},{"location":"setup/connection/#mysql","title":"MySQL","text":"JavaScalaYAML
mysql(\n    \"customer_mysql\",                       #name\n    \"jdbc:mysql://localhost:3306/customer\", #url\n    \"root\",                                 #username\n    \"root\"                                  #password\n)\n
mysql(\n    \"customer_mysql\",                       #name\n    \"jdbc:mysql://localhost:3306/customer\", #url\n    \"root\",                                 #username\n    \"root\"                                  #password\n)\n

In application.conf:

jdbc {\n    customer_mysql {\n        url = \"jdbc:mysql://localhost:3306/customer\"\n        user = \"root\"\n        password = \"root\"\n        driver = \"com.mysql.cj.jdbc.Driver\"\n    }\n}\n

"},{"location":"setup/connection/#permissions_1","title":"Permissions","text":"

Following permissions are required when generating plan and tasks:

SQL Permission Statements
GRANT SELECT ON information_schema.columns TO < user >;\nGRANT SELECT ON information_schema.statistics TO < user >;\nGRANT SELECT ON information_schema.key_column_usage TO < user >;\n
"},{"location":"setup/connection/#cassandra","title":"Cassandra","text":"

Follows same configuration as defined by the Spark Cassandra Connector as found here

JavaScalaYAML
cassandra(\n    \"customer_cassandra\",   #name\n    \"localhost:9042\",       #url\n    \"cassandra\",            #username\n    \"cassandra\",            #password\n    Map.of()                #optional additional connection options\n)\n
cassandra(\n    \"customer_cassandra\",   #name\n    \"localhost:9042\",       #url\n    \"cassandra\",            #username\n    \"cassandra\",            #password\n    Map()                #optional additional connection options\n)\n

In application.conf:

org.apache.spark.sql.cassandra {\n    customer_cassandra {\n        spark.cassandra.connection.host = \"localhost\"\n        spark.cassandra.connection.host = ${?CASSANDRA_HOST}\n        spark.cassandra.connection.port = \"9042\"\n        spark.cassandra.connection.port = ${?CASSANDRA_PORT}\n        spark.cassandra.auth.username = \"cassandra\"\n        spark.cassandra.auth.username = ${?CASSANDRA_USERNAME}\n        spark.cassandra.auth.password = \"cassandra\"\n        spark.cassandra.auth.password = ${?CASSANDRA_PASSWORD}\n    }\n}\n

"},{"location":"setup/connection/#permissions_2","title":"Permissions","text":"

Ensure that the user has write permission, so it is able to save the table to the target tables.

CQL Permission Statements
GRANT INSERT ON <schema>.<table> TO <user>;\n

Following permissions are required when enabling configuration.enableGeneratePlanAndTasks(true) as it will gather metadata information about tables and columns from the below tables.

CQL Permission Statements
GRANT SELECT ON system_schema.tables TO <user>;\nGRANT SELECT ON system_schema.columns TO <user>;\n
"},{"location":"setup/connection/#kafka","title":"Kafka","text":"

Define your Kafka bootstrap server to connect and send generated data to corresponding topics. Topic gets set at a step level. Further details can be found here

JavaScalaYAML
kafka(\n    \"customer_kafka\",   #name\n    \"localhost:9092\"    #url\n)\n
kafka(\n    \"customer_kafka\",   #name\n    \"localhost:9092\"    #url\n)\n

In application.conf:

kafka {\n    customer_kafka {\n        kafka.bootstrap.servers = \"localhost:9092\"\n        kafka.bootstrap.servers = ${?KAFKA_BOOTSTRAP_SERVERS}\n    }\n}\n

When defining your schema for pushing data to Kafka, it follows a specific top level schema. An example can be found here . You can define the key, value, headers, partition or topic by following the linked schema.

"},{"location":"setup/connection/#jms","title":"JMS","text":"

Uses JNDI lookup to send messages to JMS queue. Ensure that the messaging system you are using has your queue/topic registered via JNDI otherwise a connection cannot be created.

JavaScalaYAML
solace(\n    \"customer_solace\",                                      #name\n    \"smf://localhost:55554\",                                #url\n    \"admin\",                                                #username\n    \"admin\",                                                #password\n    \"default\",                                              #vpn name\n    \"/jms/cf/default\",                                      #connection factory\n    \"com.solacesystems.jndi.SolJNDIInitialContextFactory\"   #initial context factory\n)\n
solace(\n    \"customer_solace\",                                      #name\n    \"smf://localhost:55554\",                                #url\n    \"admin\",                                                #username\n    \"admin\",                                                #password\n    \"default\",                                              #vpn name\n    \"/jms/cf/default\",                                      #connection factory\n    \"com.solacesystems.jndi.SolJNDIInitialContextFactory\"   #initial context factory\n)\n

In application.conf:

jms {\n    customer_solace {\n        initialContextFactory = \"com.solacesystems.jndi.SolJNDIInitialContextFactory\"\n        connectionFactory = \"/jms/cf/default\"\n        url = \"smf://localhost:55555\"\n        url = ${?SOLACE_URL}\n        user = \"admin\"\n        user = ${?SOLACE_USER}\n        password = \"admin\"\n        password = ${?SOLACE_PASSWORD}\n        vpnName = \"default\"\n        vpnName = ${?SOLACE_VPN}\n    }\n}\n

"},{"location":"setup/connection/#http","title":"HTTP","text":"

Define any username and/or password needed for the HTTP requests. The url is defined in the tasks to allow for generated data to be populated in the url.

JavaScalaYAML
http(\n    \"customer_api\", #name\n    \"admin\",        #username\n    \"admin\"         #password\n)\n
http(\n    \"customer_api\", #name\n    \"admin\",        #username\n    \"admin\"         #password\n)\n

In application.conf:

http {\n    customer_api {\n        user = \"admin\"\n        user = ${?HTTP_USER}\n        password = \"admin\"\n        password = ${?HTTP_PASSWORD}\n    }\n}\n

"},{"location":"setup/delete-data/","title":"Delete Generated Data","text":"

Info

Deleting generated data is a paid feature. Try the free trial here.

As you generate and validate data, you may want to clean up the data that has been generated. This helps you:

  1. Keep your test environments clean
  2. Reduce chance of existing data interacting with your validations
  3. Creates a simple workflow for developers and testers to follow
"},{"location":"setup/delete-data/#foreign-keysrelationships","title":"Foreign Keys/Relationships","text":"

You can either define a foreign key for data generation (i.e. create same account numbers across accounts and transactions table) or for data deletion (i.e. account numbers generated in Postgres are consumed by a job and pushed into a Parquet file, you can delete the Postgres and Parquet data via the account numbers generated).

"},{"location":"setup/delete-data/#generate","title":"Generate","text":"

In scenarios where you have defined foreign keys for multiple data sources, when data is generated, Data Caterer will ensure that the values generated in one data source, will be the same in the other. When you want to delete the data, data will be deleted in reverse order of how the data was inserted. This ensures that for data sources, such as Postgres, no errors will occur whilst deleting data.

graph LR\n  subgraph plan [\"Plan/Scenario\"]\n    postgresAccount[\"Generate Postgres accounts\"]\n    postgresTransaction[\"Generate Postgres transactions\"]\n  end\n\n  dataCaterer[\"Data Caterer\"]\n\n  subgraph postgres [\"Postgres\"]\n    subgraph postgresAccTable [\"Accounts table\"]\n      accountA[\"ACC12345,2024-01-01\"] ~~~\n      accountB[\"ACC98765,2024-01-23\"] ~~~\n      accountC[\"...\"]\n    end\n    subgraph postgresTxnTable [\"Transactions table\"]\n      accountATxn[\"ACC12345,10.23\"] ~~~\n      accountBTxn[\"ACC98765,93.51\"] ~~~\n      accountCTxn[\"ACC98765,5.72\"] ~~~\n      accountDTxn[\"...\"]\n    end\n  end\n\n  postgresAccount --> dataCaterer\n  postgresTransaction --> dataCaterer\n  dataCaterer --> postgresAccTable\n  dataCaterer --> postgresTxnTable
"},{"location":"setup/delete-data/#configuration","title":"Configuration","text":"

To define the generated data that should be deleted, follow the below configurations:

JavaScalaYAML
var postgresAcc = postgres(\"my_postgres\", \"jdbc:...\")\n  .table(\"public.accounts\")\n  .schema(\n    field().name(\"account_id\"),\n    field().name(\"name\"),\n    ...\n  );\nvar postgresTxn = postgres(postgresAcc)\n  .table(\"public.transactions\")\n  .schema(\n    field().name(\"account_id\"),\n    field().name(\"full_name\"),\n    ...\n  );\n\nvar deletePlan = plan().addForeignKeyRelationship(\n  postgresAcc, \"account_id\",\n  List.of(Map.entry(postgresTxn, \"account_id\"))\n);\n\nvar deleteConfig = configuration()\n  .enableRecordTracking(true)\n  .enableDeleteGeneratedRecords(true)\n  .enableGenerateData(false);\n\nexecute(deletePlan, deleteConfig, postgresAcc, postgresTxn);\n
val postgresAcc = postgres(\"my_postgres\", \"jdbc:...\")\n  .table(\"public.accounts\")\n  .schema(\n    field.name(\"account_id\"),\n    field.name(\"name\"),\n    ...\n  )\nval postgresTxn = postgres(postgresAcc)\n  .table(\"public.transactions\")\n  .schema(\n    field.name(\"account_id\"),\n    field.name(\"full_name\"),\n    ...\n  )\n\nval deletePlan = plan.addForeignKeyRelationship(\n  postgresAcc, \"account_id\",\n  List(postgresTxn -> \"account_id\")\n)\n\nval deleteConfig = configuration\n  .enableRecordTracking(true)\n  .enableDeleteGeneratedRecords(true)\n  .enableGenerateData(false)\n\nexecute(deletePlan, deleteConfig, postgresAcc, postgresTxn)\n
---\nname: \"postgres_data\"\nsteps:\n  - name: \"accounts\"\n    type: \"postgres\"\n    options:\n      dbtable: \"account.accounts\"\n    schema:\n      fields:\n        - name: \"account_id\"\n        - name: \"name\"\n  - name: \"transactions\"\n    type: \"postgres\"\n    options:\n      dbtable: \"account.transactions\"\n    schema:\n      fields:\n        - name: \"account_id\"\n        - name: \"full_name\"\n---\nname: \"customer_create_plan\"\ndescription: \"Create customers in JDBC\"\ntasks:\n  - name: \"postgres_data\"\n    dataSourceName: \"my_postgres\"\n\nsinkOptions:\n  foreignKeys:\n    - - \"postgres.accounts.account_id\"\n      - - \"postgres.transactions.account_id\"\n      - []\n
"},{"location":"setup/delete-data/#ui","title":"UI","text":""},{"location":"setup/delete-data/#delete","title":"Delete","text":"

Once you have generated data, you may consume it via a job or service and push that data down into other data sources. You can choose to also delete the data that is pushed down into the other data sources by defining a delete relationship.

graph LR\n  subgraph plan [\"Plan/Scenario\"]\n    postgresAccount[\"Generate Postgres accounts\"]\n  end\n\n  dataCaterer[\"Data Caterer\"]\n\n  subgraph postgresAccTable [\"Postgres accounts table\"]\n    direction TB\n    accountA[\"ACC12345,2024-01-01\"] ~~~\n    accountB[\"ACC98765,2024-01-23\"] ~~~\n    accountC[\"...\"]\n  end\n\n  consumerJob[\"Consumer\"]\n\n  subgraph parquetAcc [\"Parquet accounts file\"]\n    direction TB\n    accountParquetA[\"ACC12345,2024-01-01\"] ~~~\n    accountParquetB[\"ACC98765,2024-01-23\"] ~~~\n    accountParquetC[\"...\"]\n  end\n\n  postgresAccount --> dataCaterer\n  dataCaterer --> postgresAccTable\n  consumerJob --> postgresAccTable\n  consumerJob --> parquetAcc
"},{"location":"setup/delete-data/#configuration_1","title":"Configuration","text":"

We will use the scenario that we generate data for accounts table in Postgres and a job will insert a record into the balances table for each record generated. To define the consumed data that should also be deleted, follow the below example:

JavaScalaYAML
var postgresAcc = postgres(\"my_postgres\", \"jdbc:...\")\n  .table(\"public.accounts\")\n  .schema(\n    field().name(\"account_id\"),\n    field().name(\"name\"),\n    ...\n  );\nvar postgresBal = postgres(postgresAcc)\n  .table(\"public.balances\");\n\nvar deletePlan = plan().addForeignKeyRelationship(\n  postgresAcc, \"account_id\",\n  List.of(),\n  List.of(Map.entry(postgresBal, \"account_id\"))\n);\n\nvar deleteConfig = configuration()\n  .enableRecordTracking(true)\n  .enableDeleteGeneratedRecords(true)\n  .enableGenerateData(false);\n\nexecute(deletePlan, deleteConfig, postgresAcc);\n
val postgresAcc = postgres(\"my_postgres\", \"jdbc:...\")\n  .table(\"public.accounts\")\n  .schema(\n    field.name(\"account_id\"),\n    field.name(\"name\"),\n    ...\n  )\nval postgresBal = postgres(postgresAcc)\n  .table(\"public.balances\")\n\nval deletePlan = plan.addForeignKeyRelationship(\n  postgresAcc, \"account_id\",\n  List(),\n  List(postgresBal -> \"account_id\")\n)\n\nval deleteConfig = configuration\n  .enableRecordTracking(true)\n  .enableDeleteGeneratedRecords(true)\n  .enableGenerateData(false)\n\nexecute(deletePlan, deleteConfig, postgresAcc)\n
---\nname: \"postgres_data\"\nsteps:\n  - name: \"accounts\"\n    type: \"postgres\"\n    options:\n      dbtable: \"account.accounts\"\n    schema:\n      fields:\n        - name: \"account_id\"\n        - name: \"name\"\n  - name: \"balances\"\n    type: \"postgres\"\n    options:\n      dbtable: \"account.balances\"\n---\nname: \"customer_create_plan\"\ndescription: \"Create customers in JDBC\"\ntasks:\n  - name: \"postgres_data\"\n    dataSourceName: \"my_postgres\"\n\nsinkOptions:\n  foreignKeys:\n    - - \"postgres.accounts.account_id\"\n      - []\n      - - \"postgres.balances.account_id\"\n
"},{"location":"setup/delete-data/#ui_1","title":"UI","text":""},{"location":"setup/deployment/","title":"Deployment","text":"

Three main ways to deploy and run Data Caterer:

  • Application
  • Docker
  • Helm
"},{"location":"setup/deployment/#application","title":"Application","text":"

Run the OS native application from downloading the specific OS application here.

"},{"location":"setup/deployment/#docker","title":"Docker","text":"

To package up your class along with the Data Caterer base image, you can follow the Dockerfile that is created for you here.

Then you can run the following:

./gradlew clean build\ndocker build -t <my_image_name>:<my_image_tag> .\n
"},{"location":"setup/deployment/#helm","title":"Helm","text":"

Link to sample helm on GitHub here

Update the configuration to your own data connections and configuration or own image created from above.

git clone git@github.com:data-catering/data-caterer-example.git\nhelm install data-caterer ./data-caterer-example/helm/data-caterer\n
"},{"location":"setup/design/","title":"Design","text":"

This document shows the thought process behind the design of Data Caterer to help give you insights as to how and why it was created to what it is today. Also, this serves as a reference for future design decisions which will get updated here and thus is a living document.

"},{"location":"setup/design/#motivation","title":"Motivation","text":"

The main difficulties that I faced as a developer and team lead relating to testing were:

  • Difficulty in testing with multiple data sources, both batch and real time
  • Reliance on other teams for stable environments or domain knowledge
  • Test environments with no reliable or consistent data flows
  • Complex data masking/anonymization solutions
  • Relying on production data (potential privacy and data breach issues)
  • Cost of data production issues can be very high
  • Unknown unknowns staying hidden until problems occur in production
  • Underutilised metadata
"},{"location":"setup/design/#guiding-principles","title":"Guiding Principles","text":"

These difficulties helped formed the basis of the principles for which Data Caterer should follow:

  • Data source agnostic: Connect to any batch or real time data sources for data generation or validation
  • Configurable: Run the application the way you want
  • Extensible: Allow for new innovations to seamlessly integrate with Data Caterer
  • Integrate with existing solutions: Utilise existing metadata to make it easy for users to use straight away
  • Secure: No production connections required, metadata based solution
  • Fast: Give developers fast feedback loops to encourage them to thoroughly test data flows
"},{"location":"setup/design/#high-level-flow","title":"High level flow","text":"
graph LR\n  subgraph userTasks [User Configuration]\n  dataGen[Data Generation]\n  dataValid[Data Validation]\n  runConf[Runtime Config]\n  end\n\n  subgraph dataProcessor [Processor]\n  dataCaterer[Data Caterer]\n  end\n\n  subgraph existingMetadata [Metadata]\n  metadataService[Metadata Services]\n  metadataDataSource[Data Sources]\n  end\n\n  subgraph output [Output]\n  outputDataSource[Data Sources]\n  report[Report]\n  end\n\n  dataGen --> dataCaterer\n  dataValid --> dataCaterer\n  runConf --> dataCaterer\n  direction TB\n  dataCaterer -.-> metadataService\n  dataCaterer -.-> metadataDataSource\n  direction LR\n  dataCaterer ---> outputDataSource\n  dataCaterer ---> report
  1. User Configuration
    1. Users define data generation, validation and runtime configuration
  2. Processor
    1. Engine will take user configuration to decide how to run
    2. User defined configuration merged with metadata from external sources
  3. Metadata
    1. Automatically retrieve schema, data profiling, relationship or validation rule metadata from data sources or metadata services
  4. Output
    1. Execute data generation and validation tasks on data sources
    2. Generate report summarising outcome
"},{"location":"setup/validation/","title":"Validations","text":"

Validations can be used to run data checks after you have run the data generator or even as a standalone task. A report summarising the success or failure of the validations is produced and can be examined for further investigation.

  • Basic - Basic column level validations
  • Group by/Aggregate - Run aggregates over grouped data, then validate
  • Upstream data source - Ensure record values exist in datasets based on other data sources or data generated
  • Column names - Validate column names and ordering
  • External validation source - Use pre-existing validation rules from sources such as Great Expectations or OpenMetadata
  • Data Profile (Coming soon) - Score how close the data profile of generated data is against the target data profile
"},{"location":"setup/validation/#define-validations","title":"Define Validations","text":"

Full example validations can be found below. For more details, check out each of the subsections defined further below.

JavaScalaYAML
var csvTxns = csv(\"transactions\", \"/tmp/csv\")\n  .validations(\n    validation().col(\"amount\").lessThan(100),\n    validation().col(\"year\").isEqual(2021).errorThreshold(0.1),       //equivalent to if error percentage is > 10%, then fail\n    validation().col(\"name\").matches(\"Peter .*\").errorThreshold(200)  //equivalent to if number of errors is > 200, then fail\n  )\n  .validationWait(waitCondition().pause(1));\n\nvar conf = configuration().enableValidation(true);\n
val csvTxns = csv(\"transactions\", \"/tmp/csv\")\n  .validations(\n    validation.col(\"amount\").lessThan(100),\n    validation.col(\"year\").isEqual(2021).errorThreshold(0.1),       //equivalent to if error percentage is > 10%, then fail\n    validation.col(\"name\").matches(\"Peter .*\").errorThreshold(200)  //equivalent to if number of errors is > 200, then fail\n  )  \n  .validationWait(waitCondition.pause(1))\n\nval conf = configuration.enableValidation(true)\n
---\nname: \"account_checks\"\ndataSources:\n  transactions:\n    options:\n      path: \"/tmp/csv\"\n    validations:\n      - whereExpr: \"amount < 100\"\n      - whereExpr: \"year == 2021\"\n        errorThreshold: 0.1   #equivalent to if error percentage is > 10%, then fail\n      - whereExpr: \"REGEXP_LIKE(name, 'Peter .*')\"\n        errorThreshold: 200   #equivalent to if number of errors is > 200, then fail\n        description: \"Should be lots of Peters\"\n      - whereExpr: \"amount > 100\"\n        preFilterExpr: \"STARTSWITH(account_id, 'ACC')\"\n      - whereExpr: \"ISNOTNULL(name)\"\n        preFilterExpr: \"STARTSWITH(account_id, 'ACC') AND ISNOTNULL(merchant)\"\n    waitCondition:\n      pauseInSeconds: 1\n
"},{"location":"setup/validation/#pre-filter-data","title":"Pre-filter Data","text":"

If you need to run data validations on a subset of data, then you can define pre-filter conditions. An example would be when you want to check that for all records with status=closed, that balance=0, you would define a pre-filter like below:

JavaScalaYAML
var csvTxns = csv(\"transactions\", \"/tmp/csv\")\n  .validations(\n    validation().preFilter(columnPreFilter(\"status\").isEqual(\"closed\")).col(\"balance\").isEqual(0)\n  );\n
val csvTxns = csv(\"transactions\", \"/tmp/csv\")\n  .validations(\n    validation.preFilter(columnPreFilter(\"status\").isEqual(\"closed\")).col(\"balance\").isEqual(0)\n  )  \n
---\nname: \"account_checks\"\ndataSources:\n  transactions:\n    options:\n      path: \"/tmp/csv\"\n    validations:\n      - whereExpr: \"balance == 0\"\n        preFilterExpr: \"status == 'closed'\"\n
"},{"location":"setup/validation/#wait-condition","title":"Wait Condition","text":"

Once data has been generated, you may want to wait for a certain condition to be met before starting the data validations. This can be via:

  • Pause for seconds
  • When file is available
  • Data exists
  • Webhook
"},{"location":"setup/validation/#pause","title":"Pause","text":"JavaScalaYAML
var csvTxns = csv(\"transactions\", \"/tmp/csv\")\n  .validationWait(waitCondition().pause(1));\n
val csvTxns = csv(\"transactions\", \"/tmp/csv\")\n  .validationWait(waitCondition.pause(1))\n
---\nname: \"account_checks\"\ndataSources:\n  transactions:\n    options:\n      path: \"/tmp/csv\"\n    waitCondition:\n      pauseInSeconds: 1\n
"},{"location":"setup/validation/#data-exists","title":"Data exists","text":"JavaScalaYAML
var csvTxns = csv(\"transactions\", \"/tmp/csv\")\n  .validationWaitDataExists(\"updated_date > DATE('2023-01-01')\");\n
val csvTxns = csv(\"transactions\", \"/tmp/csv\")\n  .validationWaitDataExists(\"updated_date > DATE('2023-01-01')\")\n
---\nname: \"account_checks\"\ndataSources:\n  transactions:\n    options:\n      path: \"/tmp/csv\"\n    waitCondition:\n      dataSourceName: \"transactions\"\n      options:\n        path: \"/tmp/csv\"\n      expr: \"updated_date > DATE('2023-01-01')\"\n
"},{"location":"setup/validation/#webhook","title":"Webhook","text":"JavaScalaYAML
var csvTxns = csv(\"transactions\", \"/tmp/csv\")\n  .validationWait(waitCondition().webhook(\"http://localhost:8080/finished\")); //by default, GET request successful when 200 status code\n\n//or\n\nvar csvTxnsWithStatusCodes = csv(\"transactions\", \"/tmp/csv\")\n  .validationWait(waitCondition().webhook(\"http://localhost:8080/finished\", \"GET\", 200, 202));  //successful if 200 or 202 status code\n\n//or\n\nvar csvTxnsWithExistingHttpConnection = csv(\"transactions\", \"/tmp/csv\")\n  .validationWait(waitCondition().webhook(\"my_http\", \"http://localhost:8080/finished\"));  //use connection configuration from existing 'my_http' connection definition\n
val csvTxns = csv(\"transactions\", \"/tmp/csv\")\n  .validationWait(waitCondition.webhook(\"http://localhost:8080/finished\"))  //by default, GET request successful when 200 status code\n\n//or\n\nval csvTxnsWithStatusCodes = csv(\"transactions\", \"/tmp/csv\")\n  .validationWait(waitCondition.webhook(\"http://localhost:8080/finished\", \"GET\", 200, 202)) //successful if 200 or 202 status code\n\n//or\n\nval csvTxnsWithExistingHttpConnection = csv(\"transactions\", \"/tmp/csv\")\n  .validationWait(waitCondition.webhook(\"my_http\", \"http://localhost:8080/finished\")) //use connection configuration from existing 'my_http' connection definition\n
---\nname: \"account_checks\"\ndataSources:\n  transactions:\n    options:\n      path: \"/tmp/csv\"\n    waitCondition:\n      url: \"http://localhost:8080/finished\" #by default, GET request successful when 200 status code\n\n#or\n\n---\nname: \"account_checks\"\ndataSources:\n  transactions:\n    options:\n      path: \"/tmp/csv\"\n    waitCondition:\n      url: \"http://localhost:8080/finished\"\n      method: \"GET\"\n      statusCodes: [200, 202] #successful if 200 or 202 status code\n\n#or\n\n---\nname: \"account_checks\"\ndataSources:\n  transactions:\n    options:\n      path: \"/tmp/csv\"\n    waitCondition:\n      dataSourceName: \"my_http\" #use connection configuration from existing 'my_http' connection definition\n      url: \"http://localhost:8080/finished\"\n
"},{"location":"setup/validation/#file-exists","title":"File exists","text":"JavaScalaYAML
var csvTxns = csv(\"transactions\", \"/tmp/csv\")\n  .validationWait(waitCondition().file(\"/tmp/json\"));\n
val csvTxns = csv(\"transactions\", \"/tmp/csv\")\n  .validationWait(waitCondition.file(\"/tmp/json\"))\n
---\nname: \"account_checks\"\ndataSources:\n  transactions:\n    options:\n      path: \"/tmp/csv\"\n    waitCondition:\n      path: \"/tmp/json\"\n
"},{"location":"setup/validation/#report","title":"Report","text":"

Once run, it will produce a report like this.

"},{"location":"setup/generator/count/","title":"Record Count","text":"

There are options related to controlling the number of records generated that can help in generating the scenarios or data required.

"},{"location":"setup/generator/count/#record-count_1","title":"Record Count","text":"

Record count is the simplest as you define the total number of records you require for that particular step. For example, in the below step, it will generate 1000 records for the CSV file

JavaScalaYAML
csv(\"transactions\", \"app/src/test/resources/sample/csv/transactions\")\n  .count(1000);\n
csv(\"transactions\", \"app/src/test/resources/sample/csv/transactions\")\n  .count(1000)\n
name: \"csv_file\"\nsteps:\n  - name: \"transactions\"\n    type: \"csv\"\n    options:\n      path: \"app/src/test/resources/sample/csv/transactions\"\n    count:\n      records: 1000\n
"},{"location":"setup/generator/count/#generated-count","title":"Generated Count","text":"

As like most things in Data Caterer, the count can be generated based on some metadata. For example, if I wanted to generate between 1000 and 2000 records, I could define that by the below configuration:

JavaScalaYAML
csv(\"transactions\", \"app/src/test/resources/sample/csv/transactions\")\n  .count(generator().min(1000).max(2000));\n
csv(\"transactions\", \"app/src/test/resources/sample/csv/transactions\")\n  .count(generator.min(1000).max(2000))\n
name: \"csv_file\"\nsteps:\n  - name: \"transactions\"\n    type: \"csv\"\n    options:\n      path: \"app/src/test/resources/sample/csv/transactions\"\n    count:\n      generator:\n        type: \"random\"\n        options:\n          min: 1000\n          max: 2000\n
"},{"location":"setup/generator/count/#per-column-count","title":"Per Column Count","text":"

When defining a per column count, this allows you to generate records \"per set of columns\". This means that for a given set of columns, it will generate a particular amount of records per combination of values for those columns.

One example of this would be when generating transactions relating to a customer, a customer may be defined by columns account_id, name. A number of transactions would be generated per account_id, name.

You can also use a combination of the above two methods to generate the number of records per column.

"},{"location":"setup/generator/count/#records","title":"Records","text":"

When defining a base number of records within the perColumn configuration, it translates to creating (count.records * count.recordsPerColumn) records. This is a fixed number of records that will be generated each time, with no variation between runs.

In the example below, we have count.records = 1000 and count.recordsPerColumn = 2. Which means that 1000 * 2 = 2000 records will be generated in total.

JavaScalaYAML
csv(\"transactions\", \"app/src/test/resources/sample/csv/transactions\")\n  .count(\n    count()\n      .records(1000)\n      .recordsPerColumn(2, \"account_id\", \"name\")\n  );\n
csv(\"transactions\", \"app/src/test/resources/sample/csv/transactions\")\n  .count(\n    count\n      .records(1000)\n      .recordsPerColumn(2, \"account_id\", \"name\")\n  )\n
name: \"csv_file\"\nsteps:\n  - name: \"transactions\"\n    type: \"csv\"\n    options:\n      path: \"app/src/test/resources/sample/csv/transactions\"\n    count:\n      records: 1000\n      perColumn:\n        records: 2\n        columnNames:\n          - \"account_id\"\n          - \"name\"\n
"},{"location":"setup/generator/count/#generated","title":"Generated","text":"

You can also define a generator for the count per column. This can be used in scenarios where you want a variable number of records per set of columns.

In the example below, it will generate between (count.records * count.perColumnGenerator.generator.min) = (1000 * 1) = 1000 and (count.records * count.perColumnGenerator.generator.max) = (1000 * 2) = 2000 records.

JavaScalaYAML
csv(\"transactions\", \"app/src/test/resources/sample/csv/transactions\")\n  .count(\n    count()\n      .records(1000)\n      .recordsPerColumnGenerator(generator().min(1).max(2), \"account_id\", \"name\")\n  );\n
csv(\"transactions\", \"app/src/test/resources/sample/csv/transactions\")\n  .count(\n    count\n      .records(1000)\n      .recordsPerColumnGenerator(generator.min(1).max(2), \"account_id\", \"name\")\n  )\n
name: \"csv_file\"\nsteps:\n  - name: \"transactions\"\n    type: \"csv\"\n    options:\n      path: \"app/src/test/resources/sample/csv/transactions\"\n    count:\n      records: 1000\n      perColumn:\n        columnNames:\n          - \"account_id\"\n          - \"name\"\n        generator:\n          type: \"random\"\n          options:\n            min: 1\n            max: 2\n
"},{"location":"setup/generator/data-generator/","title":"Data Generators","text":""},{"location":"setup/generator/data-generator/#data-types","title":"Data Types","text":"

Below is a list of all supported data types for generating data:

Data Type Spark Data Type Options Description string StringType minLen, maxLen, expression, enableNull integer IntegerType min, max, stddev, mean long LongType min, max, stddev, mean short ShortType min, max, stddev, mean decimal(precision, scale) DecimalType(precision, scale) min, max, stddev, mean double DoubleType min, max, stddev, mean float FloatType min, max, stddev, mean date DateType min, max, enableNull timestamp TimestampType min, max, enableNull boolean BooleanType binary BinaryType minLen, maxLen, enableNull byte ByteType array ArrayType arrayMinLen, arrayMaxLen, arrayType _ StructType Implicitly supported when a schema is defined for a field"},{"location":"setup/generator/data-generator/#options","title":"Options","text":""},{"location":"setup/generator/data-generator/#all-data-types","title":"All data types","text":"

Some options are available to use for all types of data generators. Below is the list along with example and descriptions:

Option Default Example Description enableEdgeCase false enableEdgeCase: \"true\" Enable/disable generated data to contain edge cases based on the data type. For example, integer data type has edge cases of (Int.MaxValue, Int.MinValue and 0) edgeCaseProbability 0.0 edgeCaseProb: \"0.1\" Probability of generating a random edge case value if enableEdgeCase is true isUnique false isUnique: \"true\" Enable/disable generated data to be unique for that column. Errors will be thrown when it is unable to generate unique data seed seed: \"1\" Defines the random seed for generating data for that particular column. It will override any seed defined at a global level sql sql: \"CASE WHEN amount < 10 THEN true ELSE false END\" Define any SQL statement for generating that columns value. Computation occurs after all non-SQL fields are generated. This means any columns used in the SQL cannot be based on other SQL generated columns. Data type of generated value from SQL needs to match data type defined for the field"},{"location":"setup/generator/data-generator/#string","title":"String","text":"Option Default Example Description minLen 1 minLen: \"2\" Ensures that all generated strings have at least length minLen maxLen 10 maxLen: \"15\" Ensures that all generated strings have at most length maxLen expression expression: \"#{Name.name}\"expression:\"#{Address.city}/#{Demographic.maritalStatus}\" Will generate a string based on the faker expression provided. All possible faker expressions can be found here Expression has to be in format #{<faker expression name>} enableNull false enableNull: \"true\" Enable/disable null values being generated nullProbability 0.0 nullProb: \"0.1\" Probability to generate null values if enableNull is true

Edge cases: (\"\", \"\\n\", \"\\r\", \"\\t\", \" \", \"\\u0000\", \"\\ufff\", \"\u0130yi g\u00fcnler\", \"\u0421\u043f\u0430\u0441\u0438\u0431\u043e\", \"\u039a\u03b1\u03bb\u03b7\u03bc\u03ad\u03c1\u03b1\", \"\u0635\u0628\u0627\u062d \u0627\u0644\u062e\u064a\u0631\", \" F\u00f6rl\u00e5t\", \"\u4f60\u597d\u5417\", \"Nh\u00e0 v\u1ec7 sinh \u1edf \u0111\u00e2u\", \"\u3053\u3093\u306b\u3061\u306f\", \"\u0928\u092e\u0938\u094d\u0924\u0947\", \"\u0532\u0561\u0580\u0565\u0582\", \"\u0417\u0434\u0440\u0430\u0432\u0435\u0439\u0442\u0435\")

"},{"location":"setup/generator/data-generator/#sample","title":"Sample","text":"JavaScalaYAML
csv(\"transactions\", \"app/src/test/resources/sample/csv/transactions\")\n  .schema(\n    field()\n      .name(\"name\")\n      .type(StringType.instance())\n      .expression(\"#{Name.name}\")\n      .enableNull(true)\n      .nullProbability(0.1)\n      .minLength(4)\n      .maxLength(20)\n  );\n
csv(\"transactions\", \"app/src/test/resources/sample/csv/transactions\")\n  .schema(\n    field\n      .name(\"name\")\n      .`type`(StringType)\n      .expression(\"#{Name.name}\")\n      .enableNull(true)\n      .nullProbability(0.1)\n      .minLength(4)\n      .maxLength(20)\n  )\n
name: \"csv_file\"\nsteps:\n  - name: \"transactions\"\n    type: \"csv\"\n    options:\n      path: \"app/src/test/resources/sample/csv/transactions\"\n    schema:\n      fields:\n        - name: \"name\"\n          type: \"string\"\n          generator:\n            options:\n              expression: \"#{Name.name}\"\n              enableNull: true\n              nullProb: 0.1\n              minLength: 4\n              maxLength: 20\n
"},{"location":"setup/generator/data-generator/#numeric","title":"Numeric","text":"

For all the numeric data types, there are 4 options to choose from: min, max and maxValue. Generally speaking, you only need to define one of min or minValue, similarly with max or maxValue. The reason why there are 2 options for each is because of when metadata is automatically gathered, we gather the statistics of the observed min and max values. Also, it will attempt to gather any restriction on the min or max value as defined by the data source (i.e. max value as per database type).

"},{"location":"setup/generator/data-generator/#integerlongshort","title":"Integer/Long/Short","text":"Option Default Example Description min 0 min: \"2\" Ensures that all generated values are greater than or equal to min max 1000 max: \"25\" Ensures that all generated values are less than or equal to max stddev 1.0 stddev: \"2.0\" Standard deviation for normal distributed data mean max - min mean: \"5.0\" Mean for normal distributed data

Edge cases Integer: (2147483647, -2147483648, 0) Edge cases Long: (9223372036854775807, -9223372036854775808, 0) Edge cases Short: (32767, -32768, 0)

"},{"location":"setup/generator/data-generator/#sample_1","title":"Sample","text":"JavaScalaYAML
csv(\"transactions\", \"app/src/test/resources/sample/csv/transactions\")\n  .schema(\n    field().name(\"year\").type(IntegerType.instance()).min(2020).max(2023),\n    field().name(\"customer_id\").type(LongType.instance()),\n    field().name(\"customer_group\").type(ShortType.instance())\n  );\n
csv(\"transactions\", \"app/src/test/resources/sample/csv/transactions\")\n  .schema(\n    field.name(\"year\").`type`(IntegerType).min(2020).max(2023),\n    field.name(\"customer_id\").`type`(LongType),\n    field.name(\"customer_group\").`type`(ShortType)\n  )\n
name: \"csv_file\"\nsteps:\n  - name: \"transactions\"\n    ...\n    schema:\n      fields:\n        - name: \"year\"\n          type: \"integer\"\n          generator:\n            options:\n              min: 2020\n              max: 2023\n        - name: \"customer_id\"\n          type: \"long\"\n        - name: \"customer_group\"\n          type: \"short\"\n
"},{"location":"setup/generator/data-generator/#decimal","title":"Decimal","text":"Option Default Example Description min 0 min: \"2\" Ensures that all generated values are greater than or equal to min max 1000 max: \"25\" Ensures that all generated values are less than or equal to max stddev 1.0 stddev: \"2.0\" Standard deviation for normal distributed data mean max - min mean: \"5.0\" Mean for normal distributed data numericPrecision 10 precision: \"25\" The maximum number of digits numericScale 0 scale: \"25\" The number of digits on the right side of the decimal point (has to be less than or equal to precision)

Edge cases Decimal: (9223372036854775807, -9223372036854775808, 0)

"},{"location":"setup/generator/data-generator/#sample_2","title":"Sample","text":"JavaScalaYAML
csv(\"transactions\", \"app/src/test/resources/sample/csv/transactions\")\n  .schema(\n    field().name(\"balance\").type(DecimalType.instance()).numericPrecision(10).numericScale(5)\n  );\n
csv(\"transactions\", \"app/src/test/resources/sample/csv/transactions\")\n  .schema(\n    field.name(\"balance\").`type`(DecimalType).numericPrecision(10).numericScale(5)\n  )\n
name: \"csv_file\"\nsteps:\n  - name: \"transactions\"\n    ...\n    schema:\n      fields:\n        - name: \"balance\"\n          type: \"decimal\"\n            generator:\n              options:\n                precision: 10\n                scale: 5\n
"},{"location":"setup/generator/data-generator/#doublefloat","title":"Double/Float","text":"Option Default Example Description min 0.0 min: \"2.1\" Ensures that all generated values are greater than or equal to min max 1000.0 max: \"25.9\" Ensures that all generated values are less than or equal to max stddev 1.0 stddev: \"2.0\" Standard deviation for normal distributed data mean max - min mean: \"5.0\" Mean for normal distributed data

Edge cases Double: (+infinity, 1.7976931348623157e+308, 4.9e-324, 0.0, -0.0, -1.7976931348623157e+308, -infinity, NaN) Edge cases Float: (+infinity, 3.4028235e+38, 1.4e-45, 0.0, -0.0, -3.4028235e+38, -infinity, NaN)

"},{"location":"setup/generator/data-generator/#sample_3","title":"Sample","text":"JavaScalaYAML
csv(\"transactions\", \"app/src/test/resources/sample/csv/transactions\")\n  .schema(\n    field().name(\"amount\").type(DoubleType.instance())\n  );\n
csv(\"transactions\", \"app/src/test/resources/sample/csv/transactions\")\n  .schema(\n    field.name(\"amount\").`type`(DoubleType)\n  )\n
name: \"csv_file\"\nsteps:\n  - name: \"transactions\"\n    ...\n    schema:\n      fields:\n        - name: \"amount\"\n          type: \"double\"\n
"},{"location":"setup/generator/data-generator/#date","title":"Date","text":"Option Default Example Description min now() - 365 days min: \"2023-01-31\" Ensures that all generated values are greater than or equal to min max now() max: \"2023-12-31\" Ensures that all generated values are less than or equal to max enableNull false enableNull: \"true\" Enable/disable null values being generated nullProbability 0.0 nullProb: \"0.1\" Probability to generate null values if enableNull is true

Edge cases: (0001-01-01, 1582-10-15, 1970-01-01, 9999-12-31) (reference)

"},{"location":"setup/generator/data-generator/#sample_4","title":"Sample","text":"JavaScalaYAML
csv(\"transactions\", \"app/src/test/resources/sample/csv/transactions\")\n  .schema(\n    field().name(\"created_date\").type(DateType.instance()).min(java.sql.Date.valueOf(\"2020-01-01\"))\n  );\n
csv(\"transactions\", \"app/src/test/resources/sample/csv/transactions\")\n  .schema(\n    field.name(\"created_date\").`type`(DateType).min(java.sql.Date.valueOf(\"2020-01-01\"))\n  )\n
name: \"csv_file\"\nsteps:\n  - name: \"transactions\"\n    ...\n    schema:\n      fields:\n        - name: \"created_date\"\n          type: \"date\"\n            generator:\n              options:\n                min: \"2020-01-01\"\n
"},{"location":"setup/generator/data-generator/#timestamp","title":"Timestamp","text":"Option Default Example Description min now() - 365 days min: \"2023-01-31 23:10:10\" Ensures that all generated values are greater than or equal to min max now() max: \"2023-12-31 23:10:10\" Ensures that all generated values are less than or equal to max enableNull false enableNull: \"true\" Enable/disable null values being generated nullProbability 0.0 nullProb: \"0.1\" Probability to generate null values if enableNull is true

Edge cases: (0001-01-01 00:00:00, 1582-10-15 23:59:59, 1970-01-01 00:00:00, 9999-12-31 23:59:59)

"},{"location":"setup/generator/data-generator/#sample_5","title":"Sample","text":"JavaScalaYAML
csv(\"transactions\", \"app/src/test/resources/sample/csv/transactions\")\n  .schema(\n    field().name(\"created_time\").type(TimestampType.instance()).min(java.sql.Timestamp.valueOf(\"2020-01-01 00:00:00\"))\n  );\n
csv(\"transactions\", \"app/src/test/resources/sample/csv/transactions\")\n  .schema(\n    field.name(\"created_time\").`type`(TimestampType).min(java.sql.Timestamp.valueOf(\"2020-01-01 00:00:00\"))\n  )\n
name: \"csv_file\"\nsteps:\n  - name: \"transactions\"\n    ...\n    schema:\n      fields:\n        - name: \"created_time\"\n          type: \"timestamp\"\n            generator:\n              options:\n                min: \"2020-01-01 00:00:00\"\n
"},{"location":"setup/generator/data-generator/#binary","title":"Binary","text":"Option Default Example Description minLen 1 minLen: \"2\" Ensures that all generated array of bytes have at least length minLen maxLen 20 maxLen: \"15\" Ensures that all generated array of bytes have at most length maxLen enableNull false enableNull: \"true\" Enable/disable null values being generated nullProbability 0.0 nullProb: \"0.1\" Probability to generate null values if enableNull is true

Edge cases: (\"\", \"\\n\", \"\\r\", \"\\t\", \" \", \"\\u0000\", \"\\ufff\", -128, 127)

"},{"location":"setup/generator/data-generator/#sample_6","title":"Sample","text":"JavaScalaYAML
csv(\"transactions\", \"app/src/test/resources/sample/csv/transactions\")\n  .schema(\n    field().name(\"payload\").type(BinaryType.instance())\n  );\n
csv(\"transactions\", \"app/src/test/resources/sample/csv/transactions\")\n  .schema(\n    field.name(\"payload\").`type`(BinaryType)\n  )\n
name: \"csv_file\"\nsteps:\n  - name: \"transactions\"\n    ...\n    schema:\n      fields:\n        - name: \"payload\"\n          type: \"binary\"\n
"},{"location":"setup/generator/data-generator/#array","title":"Array","text":"Option Default Example Description arrayMinLen 0 arrayMinLen: \"2\" Ensures that all generated arrays have at least length arrayMinLen arrayMaxLen 5 arrayMaxLen: \"15\" Ensures that all generated arrays have at most length arrayMaxLen arrayType arrayType: \"double\" Inner data type of the array. Optional when using Java/Scala API. Allows for nested data types to be defined like struct enableNull false enableNull: \"true\" Enable/disable null values being generated nullProbability 0.0 nullProb: \"0.1\" Probability to generate null values if enableNull is true"},{"location":"setup/generator/data-generator/#sample_7","title":"Sample","text":"JavaScalaYAML
csv(\"transactions\", \"app/src/test/resources/sample/csv/transactions\")\n  .schema(\n    field().name(\"last_5_amounts\").type(ArrayType.instance()).arrayType(\"double\")\n  );\n
csv(\"transactions\", \"app/src/test/resources/sample/csv/transactions\")\n  .schema(\n    field.name(\"last_5_amounts\").`type`(ArrayType).arrayType(\"double\")\n  )\n
name: \"csv_file\"\nsteps:\n  - name: \"transactions\"\n    ...\n    schema:\n      fields:\n        - name: \"last_5_amounts\"\n          type: \"array<double>\"\n
"},{"location":"setup/generator/foreign-key/","title":"Relationships/Foreign Keys","text":"

Foreign keys can be defined to represent the relationships between datasets where values are required to match for particular fields.

"},{"location":"setup/generator/foreign-key/#single-field","title":"Single field","text":"

Define a field in one data source to match against another field. Below example shows a postgres data source with two tables, accounts and transactions that have a foreign key for account_id.

JavaScalaYAML
var postgresAcc = postgres(\"my_postgres\", \"jdbc:...\")\n  .table(\"public.accounts\")\n  .schema(\n    field().name(\"account_id\"),\n    field().name(\"name\"),\n    ...\n  );\nvar postgresTxn = postgres(postgresAcc)\n  .table(\"public.transactions\")\n  .schema(\n    field().name(\"account_id\"),\n    field().name(\"full_name\"),\n    ...\n  );\n\nplan().addForeignKeyRelationship(\n  postgresAcc, \"account_id\",\n  List.of(Map.entry(postgresTxn, \"account_id\"))\n);\n
val postgresAcc = postgres(\"my_postgres\", \"jdbc:...\")\n  .table(\"public.accounts\")\n  .schema(\n    field.name(\"account_id\"),\n    field.name(\"name\"),\n    ...\n  )\nval postgresTxn = postgres(postgresAcc)\n  .table(\"public.transactions\")\n  .schema(\n    field.name(\"account_id\"),\n    field.name(\"full_name\"),\n    ...\n  )\n\nplan.addForeignKeyRelationship(\n  postgresAcc, \"account_id\",\n  List(postgresTxn -> \"account_id\")\n)\n
---\nname: \"postgres_data\"\nsteps:\n  - name: \"accounts\"\n    type: \"postgres\"\n    options:\n      dbtable: \"account.accounts\"\n    schema:\n      fields:\n        - name: \"account_id\"\n        - name: \"name\"\n  - name: \"transactions\"\n    type: \"postgres\"\n    options:\n      dbtable: \"account.transactions\"\n    schema:\n      fields:\n        - name: \"account_id\"\n        - name: \"full_name\"\n---\nname: \"customer_create_plan\"\ndescription: \"Create customers in JDBC\"\ntasks:\n  - name: \"postgres_data\"\n    dataSourceName: \"my_postgres\"\n\nsinkOptions:\n  foreignKeys:\n    - - \"postgres.accounts.account_id\"\n      - - \"postgres.transactions.account_id\"\n      - []\n
"},{"location":"setup/generator/foreign-key/#multiple-fields","title":"Multiple fields","text":"

You may have a scenario where multiple fields need to be aligned. From the same example, we want account_id and name from accounts to match with account_id and full_name to match in transactions respectively.

JavaScalaYAML
var postgresAcc = postgres(\"my_postgres\", \"jdbc:...\")\n  .table(\"public.accounts\")\n  .schema(\n    field().name(\"account_id\"),\n    field().name(\"name\"),\n    ...\n  );\nvar postgresTxn = postgres(postgresAcc)\n  .table(\"public.transactions\")\n  .schema(\n    field().name(\"account_id\"),\n    field().name(\"full_name\"),\n    ...\n  );\n\nplan().addForeignKeyRelationship(\n  postgresAcc, List.of(\"account_id\", \"name\"),\n  List.of(Map.entry(postgresTxn, List.of(\"account_id\", \"full_name\")))\n);\n
val postgresAcc = postgres(\"my_postgres\", \"jdbc:...\")\n  .table(\"public.accounts\")\n  .schema(\n    field.name(\"account_id\"),\n    field.name(\"name\"),\n    ...\n  )\nval postgresTxn = postgres(postgresAcc)\n  .table(\"public.transactions\")\n  .schema(\n    field.name(\"account_id\"),\n    field.name(\"full_name\"),\n    ...\n  )\n\nplan.addForeignKeyRelationship(\n  postgresAcc, List(\"account_id\", \"name\"),\n  List(postgresTxn -> List(\"account_id\", \"full_name\"))\n)\n
---\nname: \"postgres_data\"\nsteps:\n  - name: \"accounts\"\n    type: \"postgres\"\n    options:\n      dbtable: \"account.accounts\"\n    schema:\n      fields:\n        - name: \"account_id\"\n        - name: \"name\"\n  - name: \"transactions\"\n    type: \"postgres\"\n    options:\n      dbtable: \"account.transactions\"\n    schema:\n      fields:\n        - name: \"account_id\"\n        - name: \"full_name\"\n---\nname: \"customer_create_plan\"\ndescription: \"Create customers in JDBC\"\ntasks:\n  - name: \"postgres_data\"\n    dataSourceName: \"my_postgres\"\n\nsinkOptions:\n  foreignKeys:\n    - - \"my_postgres.accounts.account_id,name\"\n      - - \"my_postgres.transactions.account_id,full_name\"\n      - []\n
"},{"location":"setup/generator/foreign-key/#transformed-field","title":"Transformed field","text":"

Scenarios exist where there are relationships defined by certain transformations being applied to the source data.

For example, there may be accounts created with a field account_number that contains records like 123456. Then another data source contains account_id which is a concatenation of ACC with account_number to have values like ACC123456.

JavaScalaYAML
var postgresAcc = postgres(\"my_postgres\", \"jdbc:...\")\n  .table(\"public.accounts\")\n  .schema(\n    field().name(\"account_number\"),\n    field().name(\"name\"),\n    ...\n  );\nvar jsonTask = json(\"my_json\", \"/tmp/json\")\n  .schema(\n    field().name(\"account_id\").sql(\"CONCAT('ACC', account_number)\"),\n    field().name(\"account_number\").omit(true),  #using this field for intermediate calculation, not included in final result with omit=true\n    ...\n  );\n\nplan().addForeignKeyRelationship(\n  postgresAcc, List.of(\"account_number\"),\n  List.of(Map.entry(jsonTask, List.of(\"account_number\")))\n);\n
val postgresAcc = postgres(\"my_postgres\", \"jdbc:...\")\n  .table(\"public.accounts\")\n  .schema(\n    field.name(\"account_number\"),\n    field.name(\"name\"),\n    ...\n  )\nvar jsonTask = json(\"my_json\", \"/tmp/json\")\n  .schema(\n    field.name(\"account_id\").sql(\"CONCAT('ACC', account_number)\"),\n    field.name(\"account_number\").omit(true),  #using this field for intermediate calculation, not included in final result with omit=true\n    ...\n  )\n\nplan.addForeignKeyRelationship(\n  postgresAcc, List(\"account_number\"),\n  List(jsonTask -> List(\"account_number\"))\n)\n
---\n#postgres task yaml\nname: \"postgres_data\"\nsteps:\n  - name: \"accounts\"\n    type: \"postgres\"\n    options:\n      dbtable: \"account.accounts\"\n    schema:\n      fields:\n        - name: \"account_number\"\n        - name: \"name\"\n---\n#json task yaml\nname: \"json_data\"\nsteps:\n  - name: \"transactions\"\n    type: \"json\"\n    options:\n      dbtable: \"account.transactions\"\n    schema:\n      fields:\n        - name: \"account_id\"\n          generator:\n            options:\n              sql: \"CONCAT('ACC', account_number)\"\n        - name: \"account_number\"\n          generator:\n            options:\n              omit: true\n\n---\n#plan yaml\nname: \"customer_create_plan\"\ndescription: \"Create customers in JDBC\"\ntasks:\n  - name: \"postgres_data\"\n    dataSourceName: \"my_postgres\"\n  - name: \"json_data\"\n    dataSourceName: \"my_json\"\n\nsinkOptions:\n  foreignKeys:\n    - - \"my_postgres.accounts.account_number\"\n      - - \"my_json.transactions.account_number\"\n      - []\n
"},{"location":"setup/generator/foreign-key/#nested-field","title":"Nested field","text":"

Your schema structure can have nested fields which can also be referenced as foreign keys. But to do so, you need to create a proxy field that gets omitted from the final saved data.

In the example below, the nested customer_details.name field inside the json task needs to match with name from postgres. A new field in the json called _txn_name is used as a temporary field to facilitate the foreign key definition.

JavaScalaYAML
var postgresAcc = postgres(\"my_postgres\", \"jdbc:...\")\n  .table(\"public.accounts\")\n  .schema(\n    field().name(\"account_id\"),\n    field().name(\"name\"),\n    ...\n  );\nvar jsonTask = json(\"my_json\", \"/tmp/json\")\n  .schema(\n    field().name(\"account_id\"),\n    field().name(\"customer_details\")\n      .schema(\n        field().name(\"name\").sql(\"_txn_name\"), #nested field will get value from '_txn_name'\n        ...\n      ),\n    field().name(\"_txn_name\").omit(true)       #value will not be included in output\n  );\n\nplan().addForeignKeyRelationship(\n  postgresAcc, List.of(\"account_id\", \"name\"),\n  List.of(Map.entry(jsonTask, List.of(\"account_id\", \"_txn_name\")))\n);\n
val postgresAcc = postgres(\"my_postgres\", \"jdbc:...\")\n  .table(\"public.accounts\")\n  .schema(\n    field.name(\"account_id\"),\n    field.name(\"name\"),\n    ...\n  )\nvar jsonTask = json(\"my_json\", \"/tmp/json\")\n  .schema(\n    field.name(\"account_id\"),\n    field.name(\"customer_details\")\n      .schema(\n        field.name(\"name\").sql(\"_txn_name\"), #nested field will get value from '_txn_name'\n        ...\n      ), \n    field.name(\"_txn_name\").omit(true)       #value will not be included in output\n  )\n\nplan.addForeignKeyRelationship(\n  postgresAcc, List(\"account_id\", \"name\"),\n  List(jsonTask -> List(\"account_id\", \"_txn_name\"))\n)\n
---\n#postgres task yaml\nname: \"postgres_data\"\nsteps:\n  - name: \"accounts\"\n    type: \"postgres\"\n    options:\n      dbtable: \"account.accounts\"\n    schema:\n      fields:\n        - name: \"account_id\"\n        - name: \"name\"\n---\n#json task yaml\nname: \"json_data\"\nsteps:\n  - name: \"transactions\"\n    type: \"json\"\n    options:\n      dbtable: \"account.transactions\"\n    schema:\n      fields:\n        - name: \"account_id\"\n        - name: \"_txn_name\"\n          generator:\n            options:\n              omit: true\n        - name: \"cusotmer_details\"\n          schema:\n            fields:\n              name: \"name\"\n              generator:\n                type: \"sql\"\n                options:\n                  sql: \"_txn_name\"\n\n---\n#plan yaml\nname: \"customer_create_plan\"\ndescription: \"Create customers in JDBC\"\ntasks:\n  - name: \"postgres_data\"\n    dataSourceName: \"my_postgres\"\n  - name: \"json_data\"\n    dataSourceName: \"my_json\"\n\nsinkOptions:\n  foreignKeys:\n    - - \"my_postgres.accounts.account_id,name\"\n      - - \"my_json.transactions.account_id,_txn_name\"\n      - []\n
"},{"location":"setup/guide/","title":"Guides","text":"

Below are a list of guides you can follow to create your first Data Catering job for your use case.

"},{"location":"setup/guide/#data-sources","title":"Data Sources","text":""},{"location":"setup/guide/#databases","title":"Databases","text":"
  • Cassandra - Generate/validate data for Cassandra
  • MySQL - Generate/validate data for MySQL
  • Postgres - Generate/validate data for Postgres
"},{"location":"setup/guide/#files","title":"Files","text":"
  • CSV - Generate/validate data for CSV
  • Delta Lake - Generate/validate data for Delta Lake
  • Iceberg - Generate/validate data for Iceberg tables
  • JSON - Generate/validate data for JSON
  • ORC - Generate/validate data for ORC
  • Parquet - Generate/validate data for Parquet
"},{"location":"setup/guide/#http","title":"HTTP","text":"
  • REST API - Generate data for REST APIs
"},{"location":"setup/guide/#messaging","title":"Messaging","text":"
  • Kafka - Generate data for Kafka topics
  • Solace - Generate data for Solace messages
"},{"location":"setup/guide/#metadata","title":"Metadata","text":"
  • Great Expectations - Use validations from Great Expectations for testing
  • Marquez - Generate data based on metadata in Marquez
  • OpenMetadata - Generate data based on metadata in OpenMetadata
"},{"location":"setup/guide/#scenarios","title":"Scenarios","text":"
  • Auto Generate From Data Connection - Automatically generating data from just defining data sources
  • Data Generation - Generate production-like data
  • Data Validations - Run data validations after generating data
  • Delete Generated Data - Delete the generated data whilst leaving other data
  • First Data Generation - If you are new, this is the place to start
  • Foreign Keys Across Data Sources - Generate matching values across generated data sets
  • Generate Batch and Event Data - Generate matching batch and event data
  • Multiple Records Per Column Value - How you can generate multiple records per set of columns
"},{"location":"setup/guide/#yaml-files","title":"YAML Files","text":""},{"location":"setup/guide/#base-concept","title":"Base Concept","text":"

The execution of the data generator is based on the concept of plans and tasks. A plan represent the set of tasks that need to be executed, along with other information that spans across tasks, such as foreign keys between data sources. A task represent the component(s) of a data source and its associated metadata so that it understands what the data should look like and how many steps (sub data sources) there are (i.e. tables in a database, topics in Kafka). Tasks can define one or more steps.

"},{"location":"setup/guide/#plan","title":"Plan","text":""},{"location":"setup/guide/#foreign-keys","title":"Foreign Keys","text":"

Define foreign keys across data sources in your plan to ensure generated data can match Link to associated task 1 Link to associated task 2

"},{"location":"setup/guide/#task","title":"Task","text":"Data Source Type Data Source Sample Task Notes Database Postgres Sample Database MySQL Sample Database Cassandra Sample File CSV Sample File JSON Sample Contains nested schemas and use of SQL for generated values File Parquet Sample Partition by year column Messaging System Kafka Sample Specific base schema to be used, define headers, key, value, etc. Messaging System Solace Sample JSON formatted message HTTP PUT Sample JSON formatted PUT body"},{"location":"setup/guide/#configuration","title":"Configuration","text":"

Basic configuration

"},{"location":"setup/guide/#docker-compose","title":"Docker-compose","text":"

To see how it runs against different data sources, you can run using docker-compose and set DATA_SOURCE like below

./gradlew build\ncd docker\nDATA_SOURCE=postgres docker-compose up -d datacaterer\n

Can set it to one of the following:

  • postgres
  • mysql
  • cassandra
  • solace
  • kafka
  • http
"},{"location":"setup/guide/data-source/database/cassandra/","title":"Cassandra","text":"

Creating a data generator for Cassandra. You will build a Docker image that will be able to populate data in Cassandra for the tables you configure.

"},{"location":"setup/guide/data-source/database/cassandra/#requirements","title":"Requirements","text":"
  • 10 minutes
  • Git
  • Gradle
  • Docker
  • Cassandra
"},{"location":"setup/guide/data-source/database/cassandra/#get-started","title":"Get Started","text":"

First, we will clone the data-caterer-example repo which will already have the base project setup required.

JavaScalaYAMLUI
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n

Run Data Caterer UI via the 'Quick Start' found here.

If you already have a Cassandra instance running, you can skip to this step.

"},{"location":"setup/guide/data-source/database/cassandra/#cassandra-setup","title":"Cassandra Setup","text":"

Next, let's make sure you have an instance of Cassandra up and running in your local environment. This will make it easy for us to iterate and check our changes.

cd docker\ndocker-compose up -d cassandra\n
"},{"location":"setup/guide/data-source/database/cassandra/#permissions","title":"Permissions","text":"

Let's make a new user that has the required permissions needed to push data into the Cassandra tables we want.

CQL Permission Statements
GRANT INSERT ON <schema>.<table> TO data_caterer_user;\n

Following permissions are required when enabling configuration.enableGeneratePlanAndTasks(true) as it will gather metadata information about tables and columns from the below tables.

CQL Permission Statements
GRANT SELECT ON system_schema.tables TO data_caterer_user;\nGRANT SELECT ON system_schema.columns TO data_caterer_user;\n
"},{"location":"setup/guide/data-source/database/cassandra/#plan-setup","title":"Plan Setup","text":"

Create a new Java or Scala class.

  • Java: src/main/java/io/github/datacatering/plan/MyAdvancedCassandraJavaPlan.java
  • Scala: src/main/scala/io/github/datacatering/plan/MyAdvancedCassandraPlan.scala

Make sure your class extends PlanRun.

JavaScala
import io.github.datacatering.datacaterer.java.api.PlanRun;\n\npublic class MyAdvancedCassandraJavaPlan extends PlanRun {\n}\n
import io.github.datacatering.datacaterer.api.PlanRun\n\nclass MyAdvancedCassandraPlan extends PlanRun {\n}\n

This class defines where we need to define all of our configurations for generating data. There are helper variables and methods defined to make it simple and easy to use.

"},{"location":"setup/guide/data-source/database/cassandra/#connection-configuration","title":"Connection Configuration","text":"

Within our class, we can start by defining the connection properties to connect to Cassandra.

JavaScala
var accountTask = cassandra(\n    \"customer_cassandra\",   //name\n    \"localhost:9042\",       //url\n    \"cassandra\",            //username\n    \"cassandra\",            //password\n    Map.of()                //optional additional connection options\n)\n

Additional options such as SSL configuration, etc can be found here.

val accountTask = cassandra(\n    \"customer_cassandra\",   //name\n    \"localhost:9042\",       //url\n    \"cassandra\",            //username\n    \"cassandra\",            //password\n    Map()                   //optional additional connection options\n)\n

Additional options such as SSL configuration, etc can be found here.

"},{"location":"setup/guide/data-source/database/cassandra/#schema","title":"Schema","text":"

Let's create a task for inserting data into the account.accounts and account.account_status_history tables as defined underdocker/data/cql/customer.cql. This table should already be setup for you if you followed this step. We can check if the table is set up already via the following command:

docker exec docker-cassandraserver-1 cqlsh -e 'describe account.accounts; describe account.account_status_history;'\n

Here we should see some output that looks like the below. This tells us what schema we need to follow when generating data. We need to define that alongside any metadata that is useful to add constraints on what are possible values the generated data should contain.

CREATE TABLE account.accounts (\n    account_id text PRIMARY KEY,\n    amount double,\n    created_by text,\n    name text,\n    open_time timestamp,\n    status text\n)...\n\nCREATE TABLE account.account_status_history (\n    account_id text,\n    eod_date date,\n    status text,\n    updated_by text,\n    updated_time timestamp,\n    PRIMARY KEY (account_id, eod_date)\n)...\n

Trimming the connection details to work with the docker-compose Cassandra, we have a base Cassandra connection to define the table and schema required. Let's define each field along with their corresponding data type. You will notice that the text fields do not have a data type defined. This is because the default data type is StringType which corresponds to text in Cassandra.

JavaScala
{\n    var accountTask = cassandra(\"customer_cassandra\", \"host.docker.internal:9042\")\n            .table(\"account\", \"accounts\")\n            .schema(\n                    field().name(\"account_id\"),\n                    field().name(\"amount\").type(DoubleType.instance()),\n                    field().name(\"created_by\"),\n                    field().name(\"name\"),\n                    field().name(\"open_time\").type(TimestampType.instance()),\n                    field().name(\"status\")\n            );\n}\n
val accountTask = cassandra(\"customer_cassandra\", \"host.docker.internal:9042\")\n  .table(\"account\", \"accounts\")\n  .schema(\n    field.name(\"account_id\"),\n    field.name(\"amount\").`type`(DoubleType),\n    field.name(\"created_by\"),\n    field.name(\"name\"),\n    field.name(\"open_time\").`type`(TimestampType),\n    field.name(\"status\")\n  )\n

Depending on how you want to define the schema, follow the below:

  • Manual schema guide
  • Automatically detect schema from the data source, you can simply enable configuration.enableGeneratePlanAndTasks(true)
  • Automatically detect schema from a metadata source
"},{"location":"setup/guide/data-source/database/cassandra/#additional-configurations","title":"Additional Configurations","text":"

At the end of data generation, a report gets generated that summarises the actions it performed. We can control the output folder of that report via configurations. We will also enable the unique check to ensure any unique fields will have unique values generated.

JavaScala
var config = configuration()\n        .generatedReportsFolderPath(\"/opt/app/data/report\")\n        .enableUniqueCheck(true);\n
val config = configuration\n  .generatedReportsFolderPath(\"/opt/app/data/report\")\n  .enableUniqueCheck(true)\n
"},{"location":"setup/guide/data-source/database/cassandra/#execute","title":"Execute","text":"

To tell Data Caterer that we want to run with the configurations along with the accountTask, we have to call execute . So our full plan run will look like this.

JavaScala
public class MyAdvancedCassandraJavaPlan extends PlanRun {\n    {\n        var accountTask = cassandra(\"customer_cassandra\", \"host.docker.internal:9042\")\n                .table(\"account\", \"accounts\")\n                .schema(\n                        field().name(\"account_id\").regex(\"ACC[0-9]{8}\").primaryKey(true),\n                        field().name(\"amount\").type(DoubleType.instance()).min(1).max(1000),\n                        field().name(\"created_by\").sql(\"CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END\"),\n                        field().name(\"name\").expression(\"#{Name.name}\"),\n                        field().name(\"open_time\").type(TimestampType.instance()).min(java.sql.Date.valueOf(\"2022-01-01\")),\n                        field().name(\"status\").oneOf(\"open\", \"closed\", \"suspended\", \"pending\")\n                );\n\n        var config = configuration()\n                .generatedReportsFolderPath(\"/opt/app/data/report\")\n                .enableUniqueCheck(true);\n\n        execute(config, accountTask);\n    }\n}\n
class MyAdvancedCassandraPlan extends PlanRun {\n  val accountTask = cassandra(\"customer_cassandra\", \"host.docker.internal:9042\")\n    .table(\"account\", \"accounts\")\n    .schema(\n      field.name(\"account_id\").primaryKey(true),\n      field.name(\"amount\").`type`(DoubleType).min(1).max(1000),\n      field.name(\"created_by\").sql(\"CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END\"),\n      field.name(\"name\").expression(\"#{Name.name}\"),\n      field.name(\"open_time\").`type`(TimestampType).min(java.sql.Date.valueOf(\"2022-01-01\")),\n      field.name(\"status\").oneOf(\"open\", \"closed\", \"suspended\", \"pending\")\n    )\n\n  val config = configuration\n    .generatedReportsFolderPath(\"/opt/app/data/report\")\n    .enableUniqueCheck(true)\n\n  execute(config, accountTask)\n}\n
"},{"location":"setup/guide/data-source/database/cassandra/#run","title":"Run","text":"

Now we can run via the script ./run.sh that is in the top level directory of the data-caterer-example to run the class we just created.

./run.sh\n#input class MyAdvancedCassandraJavaPlan or MyAdvancedCassandraPlan\n#after completing\ndocker exec docker-cassandraserver-1 cqlsh -e 'select count(1) from account.accounts;select * from account.accounts limit 10;'\n

Your output should look like this.

 count\n-------\n  1000\n\n(1 rows)\n\nWarnings :\nAggregation query used without partition key\n\n\n account_id  | amount    | created_by         | name                   | open_time                       | status\n-------------+-----------+--------------------+------------------------+---------------------------------+-----------\n ACC13554145 | 917.00418 | zb CVvbBTTzitjo5fK |          Jan Sanford I | 2023-06-21 21:50:10.463000+0000 | suspended\n ACC19154140 |  46.99177 |             VH88H9 |       Clyde Bailey PhD | 2023-07-18 11:33:03.675000+0000 |      open\n ACC50587836 |  774.9872 |         GENANwPm t |           Sang Monahan | 2023-03-21 00:16:53.308000+0000 |    closed\n ACC67619387 | 452.86706 |       5msTpcBLStTH |         Jewell Gerlach | 2022-10-18 19:13:07.606000+0000 | suspended\n ACC69889784 |  14.69298 |           WDmOh7NT |          Dale Schulist | 2022-10-25 12:10:52.239000+0000 | suspended\n ACC41977254 |  51.26492 |          J8jAKzvj2 |           Norma Nienow | 2023-08-19 18:54:39.195000+0000 | suspended\n ACC40932912 | 349.68067 |   SLcJgKZdLp5ALMyg | Vincenzo Considine III | 2023-05-16 00:22:45.991000+0000 |    closed\n ACC20642011 | 658.40713 |          clyZRD4fI |  Lannie McLaughlin DDS | 2023-05-11 23:14:30.249000+0000 |      open\n ACC74962085 | 970.98218 |       ZLETTSnj4NpD |          Ima Jerde DVM | 2023-05-07 10:01:56.218000+0000 |   pending\n ACC72848439 | 481.64267 |                 cc |        Kyla Deckow DDS | 2023-08-16 13:28:23.362000+0000 | suspended\n\n(10 rows)\n

Also check the HTML report, found at docker/sample/report/index.html, that gets generated to get an overview of what was executed.

"},{"location":"setup/guide/data-source/database/mysql/","title":"MySQL","text":"

Creating a data generator for MySQL. You will build a Docker image that will be able to populate data in MySQL for the tables you configure.

"},{"location":"setup/guide/data-source/database/mysql/#requirements","title":"Requirements","text":"
  • 10 minutes
  • Git
  • Gradle
  • Docker
"},{"location":"setup/guide/data-source/database/mysql/#get-started","title":"Get Started","text":"

First, we will clone the data-caterer-example repo which will already have the base project setup required.

JavaScalaYAMLUI
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n

Run Data Caterer UI via the 'Quick Start' found here.

If you already have a MySQL instance running, you can skip to this step.

"},{"location":"setup/guide/data-source/database/mysql/#mysql-setup","title":"MySQL Setup","text":"

Next, let's make sure you have an instance of MySQL up and running in your local environment. This will make it easy for us to iterate and check our changes.

cd docker\ndocker-compose up -d mysql\n
"},{"location":"setup/guide/data-source/database/mysql/#permissions","title":"Permissions","text":"

Let's make a new user that has the required permissions needed to push data into the MySQL tables we want.

SQL Permission Statements
GRANT INSERT ON <schema>.<table> TO data_caterer_user;\n

Following permissions are required when enabling configuration.enableGeneratePlanAndTasks(true) as it will gather metadata information about tables and columns from the below tables.

SQL Permission Statements
GRANT SELECT ON information_schema.columns TO < user >;\nGRANT SELECT ON information_schema.statistics TO < user >;\nGRANT SELECT ON information_schema.key_column_usage TO < user >;\n
"},{"location":"setup/guide/data-source/database/mysql/#plan-setup","title":"Plan Setup","text":"

Create a new Java or Scala class.

  • Java: src/main/java/io/github/datacatering/plan/MySQLJavaPlan.java
  • Scala: src/main/scala/io/github/datacatering/plan/MySQLPlan.scala

Make sure your class extends PlanRun.

JavaScala
import io.github.datacatering.datacaterer.java.api.PlanRun;\n\npublic class MySQLJavaPlan extends PlanRun {\n}\n
import io.github.datacatering.datacaterer.api.PlanRun\n\nclass MySQLPlan extends PlanRun {\n}\n

This class defines where we need to define all of our configurations for generating data. There are helper variables and methods defined to make it simple and easy to use.

"},{"location":"setup/guide/data-source/database/mysql/#connection-configuration","title":"Connection Configuration","text":"

Within our class, we can start by defining the connection properties to connect to MySQL.

JavaScalaYAML
var accountTask = mysql(\n    \"customer_mysql\",                                   //name\n    \"jdbc:mysql://host.docker.internal:3306/customer\",  //url\n    \"root\",                                             //username\n    \"root\",                                             //password\n    Map.of()                                            //optional additional connection options\n)\n

Additional options such as SSL configuration, etc can be found here.

val accountTask = mysql(\n    \"customer_mysql\",                                   //name\n    \"jdbc:mysql://host.docker.internal:3306/customer\",  //url\n    \"root\",                                             //username\n    \"root\",                                             //password\n    Map()                                               //optional additional connection options\n)\n

Additional options such as SSL configuration, etc can be found here.

In application.conf:

jdbc {\n    customer_mysql {\n        url = \"jdbc:mysql://jdbc:mysql://host.docker.internal:3306/customer/customer\"\n        user = \"root\"\n        password = \"root\"\n        driver = \"com.mysql.cj.jdbc.Driver\"\n    }\n}\n

"},{"location":"setup/guide/data-source/database/mysql/#schema","title":"Schema","text":"

Let's create a task for inserting data into the customer.accounts and customer.balances tables as defined underdocker/data/sql/mysql/customer.cql. This table should already be setup for you if you followed this step.

Trimming the connection details to work with the docker-compose MySQL, we have a base MySQL connection to define the table and schema required. Let's define each field along with their corresponding data type. You will notice that the text fields do not have a data type defined. This is because the default data type is StringType which corresponds to text in MySQL.

JavaScala
{\n    var accountTask = mysql(\"customer_mysql\", \"jdbc:mysql://host.docker.internal:3306/customer\")\n            .table(\"customer\", \"accounts\")\n            .schema(\n                    field().name(\"account_number\"),\n                    field().name(\"amount\").type(DoubleType.instance()),\n                    field().name(\"created_by\"),\n                    field().name(\"created_by_fixed_length\"),\n                    field().name(\"open_timestamp\").type(TimestampType.instance()),\n                    field().name(\"account_status\")\n            );\n}\n
val accountTask = mysql(\"customer_mysql\", \"jdbc:mysql://host.docker.internal:3306/customer\")\n  .table(\"customer\", \"accounts\")\n  .schema(\n    field.name(\"account_number\"),\n    field.name(\"amount\").`type`(DoubleType),\n    field.name(\"created_by\"),\n    field.name(\"created_by_fixed_length\"),\n    field.name(\"open_timestamp\").`type`(TimestampType),\n    field.name(\"account_status\")\n  )\n

Depending on how you want to define the schema, follow the below:

  • Manual schema guide
  • Automatically detect schema from the data source, you can simply enable configuration.enableGeneratePlanAndTasks(true)
  • Automatically detect schema from a metadata source
"},{"location":"setup/guide/data-source/database/mysql/#additional-configurations","title":"Additional Configurations","text":"

At the end of data generation, a report gets generated that summarises the actions it performed. We can control the output folder of that report via configurations. We will also enable the unique check to ensure any unique fields will have unique values generated.

JavaScala
var config = configuration()\n        .generatedReportsFolderPath(\"/opt/app/data/report\")\n        .enableUniqueCheck(true);\n
val config = configuration\n  .generatedReportsFolderPath(\"/opt/app/data/report\")\n  .enableUniqueCheck(true)\n
"},{"location":"setup/guide/data-source/database/mysql/#execute","title":"Execute","text":"

To tell Data Caterer that we want to run with the configurations along with the accountTask, we have to call execute . So our full plan run will look like this.

JavaScala
public class MySQLJavaPlan extends PlanRun {\n    {\n        var accountTask = mysql(\"customer_mysql\", \"jdbc:mysql://host.docker.internal:3306/customer\")\n                .table(\"customer\", \"accounts\")\n                .schema(\n                        field().name(\"account_number\").regex(\"ACC[0-9]{8}\").primaryKey(true),\n                        field().name(\"amount\").type(DoubleType.instance()).min(1).max(1000),\n                        field().name(\"created_by\").expression(\"#{Name.name}\"),\n                        field().name(\"created_by_fixed_length\").sql(\"CASE WHEN account_status IN ('open', 'closed') THEN 'eod' ELSE 'event' END\"),\n                        field().name(\"open_timestamp\").type(TimestampType.instance()).min(java.sql.Date.valueOf(\"2022-01-01\")),\n                        field().name(\"account_status\").oneOf(\"open\", \"closed\", \"suspended\", \"pending\")\n                );\n\n        var config = configuration()\n                .generatedReportsFolderPath(\"/opt/app/data/report\")\n                .enableUniqueCheck(true);\n\n        execute(config, accountTask);\n    }\n}\n
class MySQLPlan extends PlanRun {\n  val accountTask = mysql(\"customer_mysql\", \"jdbc:mysql://host.docker.internal:3306/customer\")\n    .table(\"customer\", \"accounts\")\n    .schema(\n      field.name(\"account_number\").primaryKey(true),\n      field.name(\"amount\").`type`(DoubleType).min(1).max(1000),\n      field.name(\"created_by\").expression(\"#{Name.name}\"),\n      field.name(\"created_by_fixed_length\").sql(\"CASE WHEN account_status IN ('open', 'closed') THEN 'eod' ELSE 'event' END\"),\n      field.name(\"open_timestamp\").`type`(TimestampType).min(java.sql.Date.valueOf(\"2022-01-01\")),\n      field.name(\"account_status\").oneOf(\"open\", \"closed\", \"suspended\", \"pending\")\n    )\n\n  val config = configuration\n    .generatedReportsFolderPath(\"/opt/app/data/report\")\n    .enableUniqueCheck(true)\n\n  execute(config, accountTask)\n}\n
"},{"location":"setup/guide/data-source/database/mysql/#run","title":"Run","text":"

Now we can run via the script ./run.sh that is in the top level directory of the data-caterer-example to run the class we just created.

./run.sh\n#input class MySQLJavaPlan or MySQLPlan\n#after completing\ndocker exec docker-mysql-1  mysql -u root \"-proot\" \"customer\" -e \"SELECT COUNT(1) FROM customer.accounts; SELECT * FROM customer.accounts LIMIT 10;\"\n

Your output should look like this.

COUNT(1)\n10\nid  account_number  account_status  created_by  created_by_fixed_length customer_id_int customer_id_smallint    customer_id_bigint  customer_id_decimal customer_id_real    customer_id_double  open_date   open_timestamp  last_opened_time    payload_bytes\n1   0507581306  suspended   Pete Pouros event   510 NULL    NULL    NULL    NULL    NULL    NULL    2023-08-08 06:55:09 NULL    NULL\n2   0998204877  pending Kraig Balistreri    event   987 NULL    NULL    NULL    NULL    NULL    NULL    2023-09-04 10:09:27 NULL    NULL\n3   1491488574  pending Mrs. Ali DuBuque    event   43  NULL    NULL    NULL    NULL    NULL    NULL    2024-05-11 06:43:07 NULL    NULL\n4   5209805789  suspended   Lorilee Gislason    event   975 NULL    NULL    NULL    NULL    NULL    NULL    2023-08-30 20:54:40 NULL    NULL\n5   5901422604  closed  Elbert Johnston eod 369 NULL    NULL    NULL    NULL    NULL    NULL    2023-08-07 13:46:58 NULL    NULL\n6   7930880350  pending Charlie McCullough  event   797 NULL    NULL    NULL    NULL    NULL    NULL    2024-02-05 15:16:46 NULL    NULL\n7   8248715689  pending Mila Becker event   236 NULL    NULL    NULL    NULL    NULL    NULL    2024-06-07 08:51:29 NULL    NULL\n8   8709384015  closed  Dinah Zemlak    eod 965 NULL    NULL    NULL    NULL    NULL    NULL    2024-01-14 20:58:51 NULL    NULL\n9   9463221576  closed  Les Hettinger   eod 83  NULL    NULL    NULL    NULL    NULL    NULL    2023-06-27 16:05:22 NULL    NULL\n10  9903967165  closed  Ms. Napoleon Walker eod 795 NULL    NULL    NULL    NULL    NULL    NULL    2023-10-07 13:42:24 NULL    NULL\n

Also check the HTML report, found at docker/sample/report/index.html, that gets generated to get an overview of what was executed.

"},{"location":"setup/guide/data-source/database/postgres/","title":"Postgres","text":"

Creating a data generator for Postgres. You will build a Docker image that will be able to populate data in Postgres for the tables you configure.

"},{"location":"setup/guide/data-source/database/postgres/#requirements","title":"Requirements","text":"
  • 10 minutes
  • Git
  • Gradle
  • Docker
"},{"location":"setup/guide/data-source/database/postgres/#get-started","title":"Get Started","text":"

First, we will clone the data-caterer-example repo which will already have the base project setup required.

JavaScalaYAMLUI
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n

Run Data Caterer UI via the 'Quick Start' found here.

If you already have a Postgres instance running, you can skip to this step.

"},{"location":"setup/guide/data-source/database/postgres/#postgres-setup","title":"Postgres Setup","text":"

Next, let's make sure you have an instance of Postgres up and running in your local environment. This will make it easy for us to iterate and check our changes.

cd docker\ndocker-compose up -d mysql\n
"},{"location":"setup/guide/data-source/database/postgres/#permissions","title":"Permissions","text":"

Let's make a new user that has the required permissions needed to push data into the Postgres tables we want.

SQL Permission Statements
GRANT INSERT ON <schema>.<table> TO data_caterer_user;\n

Following permissions are required when enabling configuration.enableGeneratePlanAndTasks(true) as it will gather metadata information about tables and columns from the below tables.

SQL Permission Statements
GRANT SELECT ON information_schema.columns TO < user >;\nGRANT SELECT ON information_schema.statistics TO < user >;\nGRANT SELECT ON information_schema.key_column_usage TO < user >;\n
"},{"location":"setup/guide/data-source/database/postgres/#plan-setup","title":"Plan Setup","text":"

Create a new Java or Scala class.

  • Java: src/main/java/io/github/datacatering/plan/MyPostgresJavaPlan.java
  • Scala: src/main/scala/io/github/datacatering/plan/MyPostgresPlan.scala

Make sure your class extends PlanRun.

JavaScala
import io.github.datacatering.datacaterer.java.api.PlanRun;\n\npublic class MyPostgresJavaPlan extends PlanRun {\n}\n
import io.github.datacatering.datacaterer.api.PlanRun\n\nclass MyPostgresPlan extends PlanRun {\n}\n

This class defines where we need to define all of our configurations for generating data. There are helper variables and methods defined to make it simple and easy to use.

"},{"location":"setup/guide/data-source/database/postgres/#connection-configuration","title":"Connection Configuration","text":"

Within our class, we can start by defining the connection properties to connect to Postgres.

JavaScalaYAML
var accountTask = postgres(\n    \"customer_postgres\",                                    //name\n    \"jdbc:postgresql://host.docker.internal:5432/customer\", //url\n    \"postgres\",                                             //username\n    \"postgres\",                                             //password\n    Map.of()                                                //optional additional connection options\n)\n

Additional options such as SSL configuration, etc can be found here.

val accountTask = postgres(\n    \"customer_postgres\",                                    //name\n    \"jdbc:postgresql://host.docker.internal:5432/customer\", //url\n    \"postgres\",                                             //username\n    \"postgres\",                                             //password\n    Map()                                                   //optional additional connection options\n)\n

Additional options such as SSL configuration, etc can be found here.

In application.conf:

jdbc {\n    customer_postgres {\n        url = \"jdbc:mysql://jdbc:postgresql://host.docker.internal:5432/customer/customer\"\n        user = \"postgres\"\n        password = \"postgres\"\n        driver = \"org.postgresql.Driver\"\n    }\n}\n

"},{"location":"setup/guide/data-source/database/postgres/#schema","title":"Schema","text":"

Let's create a task for inserting data into the account.accounts and account.balances tables as defined underdocker/data/sql/postgres/customer.cql. This table should already be setup for you if you followed this step.

Trimming the connection details to work with the docker-compose Postgres, we have a base Postgres connection to define the table and schema required. Let's define each field along with their corresponding data type. You will notice that the text fields do not have a data type defined. This is because the default data type is StringType which corresponds to text in Postgres.

JavaScala
{\n    var accountTask = postgres(\"customer_postgres\", \"jdbc:postgresql://host.docker.internal:5432/customer\")\n            .table(\"account\", \"accounts\")\n            .schema(\n                    field().name(\"account_number\"),\n                    field().name(\"amount\").type(DoubleType.instance()),\n                    field().name(\"created_by\"),\n                    field().name(\"created_by_fixed_length\"),\n                    field().name(\"open_timestamp\").type(TimestampType.instance()),\n                    field().name(\"account_status\")\n            );\n}\n
val accountTask = postgres(\"customer_postgres\", \"jdbc:postgresql://host.docker.internal:5432/customer\")\n  .table(\"account\", \"accounts\")\n  .schema(\n    field.name(\"account_number\"),\n    field.name(\"amount\").`type`(DoubleType),\n    field.name(\"created_by\"),\n    field.name(\"created_by_fixed_length\"),\n    field.name(\"open_timestamp\").`type`(TimestampType),\n    field.name(\"account_status\")\n  )\n

Depending on how you want to define the schema, follow the below:

  • Manual schema guide
  • Automatically detect schema from the data source, you can simply enable configuration.enableGeneratePlanAndTasks(true)
  • Automatically detect schema from a metadata source
"},{"location":"setup/guide/data-source/database/postgres/#additional-configurations","title":"Additional Configurations","text":"

At the end of data generation, a report gets generated that summarises the actions it performed. We can control the output folder of that report via configurations. We will also enable the unique check to ensure any unique fields will have unique values generated.

JavaScala
var config = configuration()\n        .generatedReportsFolderPath(\"/opt/app/data/report\")\n        .enableUniqueCheck(true);\n
val config = configuration\n  .generatedReportsFolderPath(\"/opt/app/data/report\")\n  .enableUniqueCheck(true)\n
"},{"location":"setup/guide/data-source/database/postgres/#execute","title":"Execute","text":"

To tell Data Caterer that we want to run with the configurations along with the accountTask, we have to call execute . So our full plan run will look like this.

JavaScala
public class MyPostgresJavaPlan extends PlanRun {\n    {\n        var accountTask = postgres(\"customer_postgres\", \"jdbc:postgresql://host.docker.internal:5432/customer\")\n                .table(\"account\", \"accounts\")\n                .schema(\n                        field().name(\"account_number\").regex(\"ACC[0-9]{8}\").primaryKey(true),\n                        field().name(\"amount\").type(DoubleType.instance()).min(1).max(1000),\n                        field().name(\"created_by\").expression(\"#{Name.name}\"),\n                        field().name(\"created_by_fixed_length\").sql(\"CASE WHEN account_status IN ('open', 'closed') THEN 'eod' ELSE 'event' END\"),\n                        field().name(\"open_timestamp\").type(TimestampType.instance()).min(java.sql.Date.valueOf(\"2022-01-01\")),\n                        field().name(\"account_status\").oneOf(\"open\", \"closed\", \"suspended\", \"pending\")\n                );\n\n        var config = configuration()\n                .generatedReportsFolderPath(\"/opt/app/data/report\")\n                .enableUniqueCheck(true);\n\n        execute(config, accountTask);\n    }\n}\n
class MyPostgresPlan extends PlanRun {\n  val accountTask = postgres(\"customer_postgres\", \"jdbc:postgresql://host.docker.internal:5432/customer\")\n    .table(\"account\", \"accounts\")\n    .schema(\n      field.name(\"account_number\").primaryKey(true),\n      field.name(\"amount\").`type`(DoubleType).min(1).max(1000),\n      field.name(\"created_by\").expression(\"#{Name.name}\"),\n      field.name(\"created_by_fixed_length\").sql(\"CASE WHEN account_status IN ('open', 'closed') THEN 'eod' ELSE 'event' END\"),\n      field.name(\"open_timestamp\").`type`(TimestampType).min(java.sql.Date.valueOf(\"2022-01-01\")),\n      field.name(\"account_status\").oneOf(\"open\", \"closed\", \"suspended\", \"pending\")\n    )\n\n  val config = configuration\n    .generatedReportsFolderPath(\"/opt/app/data/report\")\n    .enableUniqueCheck(true)\n\n  execute(config, accountTask)\n}\n
"},{"location":"setup/guide/data-source/database/postgres/#run","title":"Run","text":"

Now we can run via the script ./run.sh that is in the top level directory of the data-caterer-example to run the class we just created.

./run.sh\n#input class MyPostgresJavaPlan or MyPostgresPlan\n#after completing\ndocker exec docker-postgresserver-1  psql -Upostgres -d customer -c \"SELECT COUNT(1) FROM account.accounts; SELECT * FROM account.accounts LIMIT 10;\"\n

Your output should look like this.

 count\n-------\n   100\n(1 row)\n\n id | account_number | account_status |     created_by      | created_by_fixed_length | customer_id_int | customer_id_smallint | customer_id_bigint | customer_id_decimal | customer_id_real | customer_id_double | open_date |     open_timestamp      | last_opened_time | payload_bytes\n----+----------------+----------------+---------------------+-------------------------+-----------------+----------------------+--------------------+---------------------+------------------+--------------------+-----------+-------------------------+------------------+---------------\n  1 | 0499572486     | closed         | Stewart Hartmann    | eod                     |             951 |                      |                    |                     |                  |                    |           | 2023-12-02 12:30:37.602 |                  |\n  4 | 0777698075     | closed         | Shauna Huels        | eod                     |             225 |                      |                    |                     |                  |                    |           | 2023-08-07 01:25:32.732 |                  |\n  2 | 1011209228     | suspended      | Miss Yu Torp        | event                   |             301 |                      |                    |                     |                  |                    |           | 2024-03-07 08:33:03.031 |                  |\n  6 | 0759166208     | closed         | Mrs. Alesha Koelpin | eod                     |             778 |                      |                    |                     |                  |                    |           | 2024-04-18 13:23:43.861 |                  |\n  5 | 1151247273     | closed         | Eugenio Corkery     | eod                     |             983 |                      |                    |                     |                  |                    |           | 2024-05-03 22:44:22.816 |                  |\n  7 | 3909668884     | suspended      | Deandra Ratke       | event                   |             891 |                      |                    |                     |                  |                    |           | 2024-05-01 13:11:05.498 |                  |\n  8 | 5396749742     | suspended      | Grant Moen          | event                   |              46 |                      |                    |                     |                  |                    |           | 2024-02-22 14:43:31.294 |                  |\n  9 | 4269791821     | suspended      | Kenton Romaguera    | event                   |             735 |                      |                    |                     |                  |                    |           | 2024-05-16 16:40:55.781 |                  |\n 10 | 6095315531     | closed         | Crystle Hintz       | eod                     |             279 |                      |                    |                     |                  |                    |           | 2024-02-18 07:40:21.088 |                  |\n 11 | 6625684008     | open           | Miss Edelmira Rath  | eod                     |             200 |                      |                    |                     |                  |                    |           | 2024-05-12 17:17:55.86  |                  |\n(10 rows)\n

Also check the HTML report, found at docker/sample/report/index.html, that gets generated to get an overview of what was executed.

"},{"location":"setup/guide/data-source/file/csv/","title":"CSV","text":"

Creating a data generator for CSV. You will have the ability to generate and validate CSV files via Docker.

"},{"location":"setup/guide/data-source/file/csv/#requirements","title":"Requirements","text":"
  • 10 minutes
  • Git
  • Gradle
  • Docker
"},{"location":"setup/guide/data-source/file/csv/#get-started","title":"Get Started","text":"

First, we will clone the data-caterer-example repo which will already have the base project setup required.

JavaScalaYAMLUI
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n

Run Data Caterer UI via the 'Quick Start' found here.

"},{"location":"setup/guide/data-source/file/csv/#plan-setup","title":"Plan Setup","text":"

Create a new Java or Scala class.

  • Java: src/main/java/io/github/datacatering/plan/MyCSVJavaPlan.java
  • Scala: src/main/scala/io/github/datacatering/plan/MyCSVPlan.scala

Make sure your class extends PlanRun.

JavaScala
import io.github.datacatering.datacaterer.java.api.PlanRun;\n\npublic class MyCSVJavaPlan extends PlanRun {\n}\n
import io.github.datacatering.datacaterer.api.PlanRun\n\nclass MyCSVPlan extends PlanRun {\n}\n

This class defines where we need to define all of our configurations for generating data. There are helper variables and methods defined to make it simple and easy to use.

"},{"location":"setup/guide/data-source/file/csv/#connection-configuration","title":"Connection Configuration","text":"

Within our class, we can start by defining the connection properties to read/write from/to CSV.

JavaScala
var accountTask = csv(\n    \"customer_accounts\",              //name\n    \"/opt/app/data/customer/account\", //path\n    Map.of(\"header\", \"true\")          //additional options\n);\n

Additional options such as including a header row, etc can be found here.

val accountTask = csv(\n  \"customer_accounts\",              //name         \n  \"/opt/app/data/customer/account\", //path\n  Map(\"header\" -> \"true\")           //additional options\n)\n

Additional options such as including a header row, etc can be found here.

"},{"location":"setup/guide/data-source/file/csv/#schema","title":"Schema","text":"

Depending on how you want to define the schema, follow the below:

  • Manual schema guide
  • Automatically detect schema from the data source, you can simply enable configuration.enableGeneratePlanAndTasks(true)
  • Automatically detect schema from a metadata source
"},{"location":"setup/guide/data-source/file/csv/#additional-configurations","title":"Additional Configurations","text":"

At the end of data generation, a report gets generated that summarises the actions it performed. We can control the output folder of that report via configurations. We will also enable the unique check to ensure any unique fields will have unique values generated.

JavaScala
var config = configuration()\n        .generatedReportsFolderPath(\"/opt/app/data/report\")\n        .enableUniqueCheck(true);\n\nexecute(myPlan, config, accountTask, transactionTask);\n
val config = configuration\n  .generatedReportsFolderPath(\"/opt/app/data/report\")\n  .enableUniqueCheck(true)\n\nexecute(myPlan, config, accountTask, transactionTask)\n
"},{"location":"setup/guide/data-source/file/csv/#run","title":"Run","text":"

Now we can run via the script ./run.sh that is in the top level directory of the data-caterer-example to run the class we just created.

./run.sh\n#input class MyCSVJavaPlan or MyCSVPlan\n#after completing, let's pick an account and check the transactions for that account\naccount=$(tail -1 docker/sample/customer/account/part-00000* | awk -F \",\" '{print $1 \",\" $4}')\necho $account\ncat docker/sample/customer/transaction/part-00000* | grep $account\n

It should look something like this.

ACC29117767,Willodean Sauer\nACC29117767,Willodean Sauer,84.99145871948083,2023-05-14T09:55:51.439Z,2023-05-14\nACC29117767,Willodean Sauer,58.89345733567232,2022-11-22T07:38:20.143Z,2022-11-22\n

Congratulations! You have now made a data generator that has simulated a real world data scenario. You can check the CSVJavaPlan.java or CSVPlan.scala files as well to check that your plan is the same.

"},{"location":"setup/guide/data-source/file/csv/#validation","title":"Validation","text":"

If you want to validate data from a CSV source, follow the validation documentation found here to help guide you.

"},{"location":"setup/guide/data-source/file/delta-lake/","title":"Delta Lake","text":"

Creating a data generator for Delta Lake. You will have the ability to generate and validate Delta Lake files.

"},{"location":"setup/guide/data-source/file/delta-lake/#requirements","title":"Requirements","text":"
  • 10 minutes
  • Git
  • Gradle
  • Docker
"},{"location":"setup/guide/data-source/file/delta-lake/#get-started","title":"Get Started","text":"

First, we will clone the data-caterer-example repo which will already have the base project setup required.

JavaScalaYAMLUI
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n

Run Data Caterer UI via the 'Quick Start' found here.

"},{"location":"setup/guide/data-source/file/delta-lake/#plan-setup","title":"Plan Setup","text":"

Create a new Java or Scala class.

  • Java: src/main/java/io/github/datacatering/plan/MyDeltaLakeJavaPlan.java
  • Scala: src/main/scala/io/github/datacatering/plan/MyDeltaLakePlan.scala

Make sure your class extends PlanRun.

JavaScala
import io.github.datacatering.datacaterer.java.api.PlanRun;\n\npublic class MyDeltaLakeJavaPlan extends PlanRun {\n}\n
import io.github.datacatering.datacaterer.api.PlanRun\n\nclass MyDeltaLakePlan extends PlanRun {\n}\n

This class defines where we need to define all of our configurations for generating data. There are helper variables and methods defined to make it simple and easy to use.

"},{"location":"setup/guide/data-source/file/delta-lake/#connection-configuration","title":"Connection Configuration","text":"

Within our class, we can start by defining the connection properties to read/write from/to Delta Lake.

JavaScala
var accountTask = delta(\n        \"customer_accounts\",            //name\n        \"/opt/app/data/customer/delta\", //path\n        Map.of()                        //additional options\n);\n

Additional options can be found here.

val accountTask = delta(\n  \"customer_accounts\",            //name\n  \"/opt/app/data/customer/delta\", //path\n  Map()                           //additional options\n)\n

Additional options can be found here.

"},{"location":"setup/guide/data-source/file/delta-lake/#schema","title":"Schema","text":"

Depending on how you want to define the schema, follow the below:

  • Manual schema guide
  • Automatically detect schema from the data source, you can simply enable configuration.enableGeneratePlanAndTasks(true)
  • Automatically detect schema from a metadata source
"},{"location":"setup/guide/data-source/file/delta-lake/#additional-configurations","title":"Additional Configurations","text":"

At the end of data generation, a report gets generated that summarises the actions it performed. We can control the output folder of that report via configurations. We will also enable the unique check to ensure any unique fields will have unique values generated.

JavaScala
var config = configuration()\n        .generatedReportsFolderPath(\"/opt/app/data/report\")\n        .enableUniqueCheck(true);\n\nexecute(myPlan, config, accountTask, transactionTask);\n
val config = configuration\n  .generatedReportsFolderPath(\"/opt/app/data/report\")\n  .enableUniqueCheck(true)\n\nexecute(myPlan, config, accountTask, transactionTask)\n
"},{"location":"setup/guide/data-source/file/delta-lake/#run","title":"Run","text":"

Now we can run via the script ./run.sh that is in the top level directory of the data-caterer-example to run the class we just created.

./run.sh\n#input class MyDeltaLakeJavaPlan or MyDeltaLakePlan\n

Congratulations! You have now made a data generator that has simulated a real world data scenario. You can check the DeltaLakeJavaPlan.java or DeltaLakePlan.scala files as well to check that your plan is the same.

"},{"location":"setup/guide/data-source/file/delta-lake/#validation","title":"Validation","text":"

If you want to validate data from an Delta Lake source, follow the validation documentation found here to help guide you.

"},{"location":"setup/guide/data-source/file/iceberg/","title":"Iceberg","text":"

Creating a data generator for Iceberg. You will have the ability to generate and validate Iceberg tables.

"},{"location":"setup/guide/data-source/file/iceberg/#requirements","title":"Requirements","text":"
  • 10 minutes
  • Git
  • Gradle
  • Docker
"},{"location":"setup/guide/data-source/file/iceberg/#get-started","title":"Get Started","text":"

First, we will clone the data-caterer-example repo which will already have the base project setup required.

JavaScalaYAMLUI
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n

Run Data Caterer UI via the 'Quick Start' found here.

"},{"location":"setup/guide/data-source/file/iceberg/#plan-setup","title":"Plan Setup","text":"

Create a new Java or Scala class.

  • Java: src/main/java/io/github/datacatering/plan/MyIcebergJavaPlan.java
  • Scala: src/main/scala/io/github/datacatering/plan/MyIcebergPlan.scala
  • YAML: docker/data/customer/plan/my-iceberg.yaml

Make sure your class extends PlanRun.

JavaScalaYAMLUI
import io.github.datacatering.datacaterer.java.api.PlanRun;\n\npublic class MyIcebergJavaPlan extends PlanRun {\n}\n
import io.github.datacatering.datacaterer.api.PlanRun\n\nclass MyIcebergPlan extends PlanRun {\n}\n

In docker/data/custom/plan/my-iceberg.yaml:

name: \"my_iceberg_plan\"\ndescription: \"Create account data in Iceberg table\"\ntasks:\n  - name: \"iceberg_account_table\"\n    dataSourceName: \"customer_accounts\"\n    enabled: true\n

Go here.

This class defines where we need to define all of our configurations for generating data. There are helper variables and methods defined to make it simple and easy to use.

"},{"location":"setup/guide/data-source/file/iceberg/#connection-configuration","title":"Connection Configuration","text":"

Within our class, we can start by defining the connection properties to read/write from/to Iceberg.

JavaScalaYAMLUI
var accountTask = iceberg(\n        \"customer_accounts\",              //name\n        \"account.accounts\",               //table name\n        \"/opt/app/data/customer/iceberg\", //warehouse path\n        \"hadoop\",                         //catalog type\n        \"\",                               //catalogUri\n        Map.of()                          //additional options\n);\n

Additional options can be found here.

val accountTask = iceberg(\n  \"customer_accounts\",              //name\n  \"account.accounts\",               //table name\n  \"/opt/app/data/customer/iceberg\", //warehouse path\n  \"hadoop\",                         //catalog type\n  \"\",                               //catalogUri\n  Map()                             //additional options\n)\n

Additional options can be found here.

In application.conf:

iceberg {\n  customer_accounts {\n    path = \"/opt/app/data/customer/iceberg\"\n    path = ${?ICEBERG_WAREHOUSE_PATH}\n    catalogType = \"hadoop\"\n    catalogType = ${?ICEBERG_CATALOG_TYPE}\n    catalogUri = \"\"\n    catalogUri = ${?ICEBERG_CATALOG_URI}\n  }\n}\n

  1. Go to Connection tab in the top bar
  2. Select data source as Iceberg
    1. Enter in data source name customer_accounts
    2. Select catalog type hadoop
    3. Enter warehouse path as /opt/app/data/customer/iceberg
"},{"location":"setup/guide/data-source/file/iceberg/#schema","title":"Schema","text":"

Depending on how you want to define the schema, follow the below:

  • Manual schema guide
  • Automatically detect schema from the data source, you can simply enable configuration.enableGeneratePlanAndTasks(true)
  • Automatically detect schema from a metadata source
"},{"location":"setup/guide/data-source/file/iceberg/#additional-configurations","title":"Additional Configurations","text":"

At the end of data generation, a report gets generated that summarises the actions it performed. We can control the output folder of that report via configurations. We will also enable the unique check to ensure any unique fields will have unique values generated.

JavaScalaYAMLUI
var config = configuration()\n        .generatedReportsFolderPath(\"/opt/app/data/report\")\n        .enableUniqueCheck(true);\n\nexecute(myPlan, config, accountTask, transactionTask);\n
val config = configuration\n  .generatedReportsFolderPath(\"/opt/app/data/report\")\n  .enableUniqueCheck(true)\n\nexecute(myPlan, config, accountTask, transactionTask)\n

In application.conf:

flags {\n  enableUniqueCheck = true\n}\nfolders {\n  generatedReportsFolderPath = \"/opt/app/data/report\"\n}\n

  1. Click on Advanced Configuration towards the bottom of the screen
  2. Click on Flag and click on Unique Check
  3. Click on Folder and enter /tmp/data-caterer/report for Generated Reports Folder Path
"},{"location":"setup/guide/data-source/file/iceberg/#run","title":"Run","text":"

Now we can run via the script ./run.sh that is in the top level directory of the data-caterer-example to run the class we just created.

JavaScalaYAMLUI
./run.sh MyIcebergJavaPlan\n
./run.sh MyIcebergPlan\n
./run.sh my-iceberg.yaml\n
  1. Click on Execute at the top

Congratulations! You have now made a data generator that has simulated a real world data scenario. You can check the IcebergJavaPlan.java or IcebergPlan.scala files as well to check that your plan is the same.

"},{"location":"setup/guide/data-source/file/iceberg/#validation","title":"Validation","text":"

If you want to validate data from an Iceberg source, follow the validation documentation found here to help guide you.

"},{"location":"setup/guide/data-source/file/json/","title":"JSON","text":"

Creating a data generator for JSON. You will have the ability to generate and validate JSON files via Docker.

"},{"location":"setup/guide/data-source/file/json/#requirements","title":"Requirements","text":"
  • 10 minutes
  • Git
  • Gradle
  • Docker
"},{"location":"setup/guide/data-source/file/json/#get-started","title":"Get Started","text":"

First, we will clone the data-caterer-example repo which will already have the base project setup required.

JavaScalaYAMLUI
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n

Run Data Caterer UI via the 'Quick Start' found here.

"},{"location":"setup/guide/data-source/file/json/#plan-setup","title":"Plan Setup","text":"

Create a new Java or Scala class.

  • Java: src/main/java/io/github/datacatering/plan/MyJSONJavaPlan.java
  • Scala: src/main/scala/io/github/datacatering/plan/MyJSONPlan.scala

Make sure your class extends PlanRun.

JavaScala
import io.github.datacatering.datacaterer.java.api.PlanRun;\n\npublic class MyJSONJavaPlan extends PlanRun {\n}\n
import io.github.datacatering.datacaterer.api.PlanRun\n\nclass MyJSONPlan extends PlanRun {\n}\n

This class defines where we need to define all of our configurations for generating data. There are helper variables and methods defined to make it simple and easy to use.

"},{"location":"setup/guide/data-source/file/json/#connection-configuration","title":"Connection Configuration","text":"

Within our class, we can start by defining the connection properties to read/write from/to JSON.

JavaScala
var accountTask = json(\n    \"customer_accounts\",                    //name\n    \"/opt/app/data/customer/account_json\",  //path\n    Map.of()                                //additional options\n);\n

Additional options can be found here.

val accountTask = json(\n  \"customer_accounts\",                    //name         \n  \"/opt/app/data/customer/account_json\",  //path\n  Map()                                   //additional options\n)\n

Additional options can be found here.

"},{"location":"setup/guide/data-source/file/json/#schema","title":"Schema","text":"

Depending on how you want to define the schema, follow the below:

  • Manual schema guide
  • Automatically detect schema from the data source, you can simply enable configuration.enableGeneratePlanAndTasks(true)
  • Automatically detect schema from a metadata source

Let's create a task for generating data as accounts and then generate data for transactions, which will be related to the accounts generated.

JavaScala
var accountTask = json(\"customer_accounts\", \"/opt/app/data/customer/account_json\")\n        .schema(\n            field().name(\"account_id\"),\n            field().name(\"balance\").type(new DecimalType(5, 2)),\n            field().name(\"created_by\"),\n            field().name(\"open_time\").type(TimestampType.instance()),\n            field().name(\"status\"),\n            field().name(\"customer_details\")\n                .schema(\n                    field().name(\"name\"),\n                    field().name(\"age\").type(IntegerType.instance()),\n                    field().name(\"city\")\n                )\n        );\n
val accountTask = json(\"customer_accounts\", \"/opt/app/data/customer/account_json\")\n  .schema(\n    field.name(\"account_id\"),\n    field.name(\"balance\").`type`(new DecimalType(5, 2)),\n    field.name(\"created_by\"),\n    field.name(\"open_time\").`type`(TimestampType),\n    field.name(\"status\"),\n    field.name(\"customer_details\")\n      .schema(\n        field.name(\"name\"),\n        field.name(\"age\").`type`(IntegerType),\n        field.name(\"city\")\n      )\n  )\n
"},{"location":"setup/guide/data-source/file/json/#additional-configurations","title":"Additional Configurations","text":"

At the end of data generation, a report gets generated that summarises the actions it performed. We can control the output folder of that report via configurations. We will also enable the unique check to ensure any unique fields will have unique values generated.

JavaScala
var config = configuration()\n        .generatedReportsFolderPath(\"/opt/app/data/report\")\n        .enableUniqueCheck(true);\n\nexecute(myPlan, config, accountTask, transactionTask);\n
val config = configuration\n  .generatedReportsFolderPath(\"/opt/app/data/report\")\n  .enableUniqueCheck(true)\n\nexecute(myPlan, config, accountTask, transactionTask)\n
"},{"location":"setup/guide/data-source/file/json/#run","title":"Run","text":"

Now we can run via the script ./run.sh that is in the top level directory of the data-caterer-example to run the class we just created.

./run.sh\n#input class MyJSONJavaPlan or MyJSONPlan\n#after completing, let's pick an account and check the transactions for that account\naccount=$(head -1 docker/sample/customer/account_json/part-00000-* | sed -nr 's/.*account_id\":\"(.+)\",\"balance.*/\\1/p')\necho \"Head account record:\"\nhead -1 docker/sample/customer/account_json/part-00000-*\necho $account\necho \"Transaction records:\"\ncat docker/sample/customer/transaction_json/part-0000* | grep $account\n

It should look something like this.

Head account record:\n{\"account_id\":\"ACC00047541\",\"balance\":445.62,\"created_by\":\"event\",\"open_time\":\"2024-03-13T00:31:38.836Z\",\"status\":\"suspended\",\"customer_details\":{\"name\":\"Joey Gaylord\",\"age\":44,\"city\":\"Lake Jose\"}}\nACC00047541\nTransaction records:\n{\"account_id\":\"ACC00047541\",\"full_name\":\"Joey Gaylord\",\"amount\":31.485424217447527,\"time\":\"2023-11-07T04:50:20.875Z\",\"date\":\"2023-11-07\"}\n{\"account_id\":\"ACC00047541\",\"full_name\":\"Joey Gaylord\",\"amount\":79.22177964401857,\"time\":\"2024-02-01T15:15:38.289Z\",\"date\":\"2024-02-01\"}\n{\"account_id\":\"ACC00047541\",\"full_name\":\"Joey Gaylord\",\"amount\":56.06230355456882,\"time\":\"2024-02-29T21:42:42.473Z\",\"date\":\"2024-02-29\"}\n

Congratulations! You have now made a data generator that has simulated a real world data scenario. You can check the JsonJavaPlan.java or JsonPlan.scala files as well to check that your plan is the same.

"},{"location":"setup/guide/data-source/file/json/#validation","title":"Validation","text":"

If you want to validate data from a JSON source, follow the validation documentation found here to help guide you.

"},{"location":"setup/guide/data-source/file/orc/","title":"ORC","text":"

Creating a data generator for ORC. You will have the ability to generate and validate ORC files via Docker.

"},{"location":"setup/guide/data-source/file/orc/#requirements","title":"Requirements","text":"
  • 10 minutes
  • Git
  • Gradle
  • Docker
"},{"location":"setup/guide/data-source/file/orc/#get-started","title":"Get Started","text":"

First, we will clone the data-caterer-example repo which will already have the base project setup required.

JavaScalaYAMLUI
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n

Run Data Caterer UI via the 'Quick Start' found here.

"},{"location":"setup/guide/data-source/file/orc/#plan-setup","title":"Plan Setup","text":"

Create a new Java or Scala class.

  • Java: src/main/java/io/github/datacatering/plan/MyORCJavaPlan.java
  • Scala: src/main/scala/io/github/datacatering/plan/MyORCPlan.scala

Make sure your class extends PlanRun.

JavaScala
import io.github.datacatering.datacaterer.java.api.PlanRun;\n\npublic class MyORCJavaPlan extends PlanRun {\n}\n
import io.github.datacatering.datacaterer.api.PlanRun\n\nclass MyORCPlan extends PlanRun {\n}\n

This class defines where we need to define all of our configurations for generating data. There are helper variables and methods defined to make it simple and easy to use.

"},{"location":"setup/guide/data-source/file/orc/#connection-configuration","title":"Connection Configuration","text":"

Within our class, we can start by defining the connection properties to read/write from/to ORC.

JavaScala
var accountTask = orc(\n    \"customer_accounts\",                  //name\n    \"/opt/app/data/customer/account_orc\", //path\n    Map.of()                              //additional options\n);\n

Additional options can be found here.

val accountTask = orc(\n  \"customer_accounts\",                  //name         \n  \"/opt/app/data/customer/account_orc\", //path\n  Map()                                 //additional options\n)\n

Additional options can be found here.

"},{"location":"setup/guide/data-source/file/orc/#schema","title":"Schema","text":"

Depending on how you want to define the schema, follow the below:

  • Manual schema guide
  • Automatically detect schema from the data source, you can simply enable configuration.enableGeneratePlanAndTasks(true)
  • Automatically detect schema from a metadata source
"},{"location":"setup/guide/data-source/file/orc/#additional-configurations","title":"Additional Configurations","text":"

At the end of data generation, a report gets generated that summarises the actions it performed. We can control the output folder of that report via configurations. We will also enable the unique check to ensure any unique fields will have unique values generated.

JavaScala
var config = configuration()\n        .generatedReportsFolderPath(\"/opt/app/data/report\")\n        .enableUniqueCheck(true);\n\nexecute(myPlan, config, accountTask, transactionTask);\n
val config = configuration\n  .generatedReportsFolderPath(\"/opt/app/data/report\")\n  .enableUniqueCheck(true)\n\nexecute(myPlan, config, accountTask, transactionTask)\n
"},{"location":"setup/guide/data-source/file/orc/#run","title":"Run","text":"

Now we can run via the script ./run.sh that is in the top level directory of the data-caterer-example to run the class we just created.

./run.sh\n#input class MyORCJavaPlan or MyORCPlan\n

Congratulations! You have now made a data generator that has simulated a real world data scenario. You can check the ORCJavaPlan.java or ORCPlan.scala files as well to check that your plan is the same.

"},{"location":"setup/guide/data-source/file/orc/#validation","title":"Validation","text":"

If you want to validate data from a ORC source, follow the validation documentation found here to help guide you.

"},{"location":"setup/guide/data-source/file/parquet/","title":"Parquet","text":"

Creating a data generator for Parquet. You will have the ability to generate and validate Parquet files via Docker.

"},{"location":"setup/guide/data-source/file/parquet/#requirements","title":"Requirements","text":"
  • 10 minutes
  • Git
  • Gradle
  • Docker
"},{"location":"setup/guide/data-source/file/parquet/#get-started","title":"Get Started","text":"

First, we will clone the data-caterer-example repo which will already have the base project setup required.

JavaScalaYAMLUI
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n

Run Data Caterer UI via the 'Quick Start' found here.

"},{"location":"setup/guide/data-source/file/parquet/#plan-setup","title":"Plan Setup","text":"

Create a new Java or Scala class.

  • Java: src/main/java/io/github/datacatering/plan/MyParquetJavaPlan.java
  • Scala: src/main/scala/io/github/datacatering/plan/MyParquetPlan.scala

Make sure your class extends PlanRun.

JavaScala
import io.github.datacatering.datacaterer.java.api.PlanRun;\n\npublic class MyParquetJavaPlan extends PlanRun {\n}\n
import io.github.datacatering.datacaterer.api.PlanRun\n\nclass MyParquetPlan extends PlanRun {\n}\n

This class defines where we need to define all of our configurations for generating data. There are helper variables and methods defined to make it simple and easy to use.

"},{"location":"setup/guide/data-source/file/parquet/#connection-configuration","title":"Connection Configuration","text":"

Within our class, we can start by defining the connection properties to read/write from/to Parquet.

JavaScala
var accountTask = parquet(\n    \"customer_accounts\",                      //name\n    \"/opt/app/data/customer/account_parquet\", //path\n    Map.of()                                  //additional options\n);\n

Additional options can be found here.

val accountTask = parquet(\n  \"customer_accounts\",                      //name         \n  \"/opt/app/data/customer/account_parquet\", //path\n  Map()                                     //additional options\n)\n

Additional options can be found here.

"},{"location":"setup/guide/data-source/file/parquet/#schema","title":"Schema","text":"

Depending on how you want to define the schema, follow the below:

  • Manual schema guide
  • Automatically detect schema from the data source, you can simply enable configuration.enableGeneratePlanAndTasks(true)
  • Automatically detect schema from a metadata source
"},{"location":"setup/guide/data-source/file/parquet/#additional-configurations","title":"Additional Configurations","text":"

At the end of data generation, a report gets generated that summarises the actions it performed. We can control the output folder of that report via configurations. We will also enable the unique check to ensure any unique fields will have unique values generated.

JavaScala
var config = configuration()\n        .generatedReportsFolderPath(\"/opt/app/data/report\")\n        .enableUniqueCheck(true);\n\nexecute(myPlan, config, accountTask, transactionTask);\n
val config = configuration\n  .generatedReportsFolderPath(\"/opt/app/data/report\")\n  .enableUniqueCheck(true)\n\nexecute(myPlan, config, accountTask, transactionTask)\n
"},{"location":"setup/guide/data-source/file/parquet/#run","title":"Run","text":"

Now we can run via the script ./run.sh that is in the top level directory of the data-caterer-example to run the class we just created.

./run.sh\n#input class MyParquetJavaPlan or MyParquetPlan\n

Congratulations! You have now made a data generator that has simulated a real world data scenario. You can check the ParquetJavaPlan.java or ParquetPlan.scala files as well to check that your plan is the same.

"},{"location":"setup/guide/data-source/file/parquet/#validation","title":"Validation","text":"

If you want to validate data from a Parquet source, follow the validation documentation found here to help guide you.

"},{"location":"setup/guide/data-source/http/http/","title":"HTTP Source","text":"

Info

Generating data based on OpenAPI/Swagger document and pushing to HTTP endpoint is a paid feature.

Creating a data generator based on an OpenAPI/Swagger document.

"},{"location":"setup/guide/data-source/http/http/#requirements","title":"Requirements","text":"
  • 10 minutes
  • Git
  • Gradle
  • Docker
"},{"location":"setup/guide/data-source/http/http/#get-started","title":"Get Started","text":"

First, we will clone the data-caterer-example repo which will already have the base project setup required.

JavaScalaYAMLUI
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n

Run Data Caterer UI via the 'Quick Start' found here.

"},{"location":"setup/guide/data-source/http/http/#http-setup","title":"HTTP Setup","text":"

We will be using the http-bin docker image to help simulate a service with HTTP endpoints.

Start it via:

cd docker\ndocker-compose up -d http\ndocker ps\n
"},{"location":"setup/guide/data-source/http/http/#plan-setup","title":"Plan Setup","text":"

Create a new Java or Scala class.

  • Java: src/main/java/io/github/datacatering/plan/MyAdvancedHttpJavaPlanRun.java
  • Scala: src/main/scala/io/github/datacatering/plan/MyAdvancedHttpPlanRun.scala

Make sure your class extends PlanRun.

JavaScala
import io.github.datacatering.datacaterer.java.api.PlanRun;\n...\n\npublic class MyAdvancedHttpJavaPlanRun extends PlanRun {\n    {\n        var conf = configuration().enableGeneratePlanAndTasks(true)\n            .generatedReportsFolderPath(\"/opt/app/data/report\");\n    }\n}\n
import io.github.datacatering.datacaterer.api.PlanRun\n...\n\nclass MyAdvancedHttpPlanRun extends PlanRun {\n  val conf = configuration.enableGeneratePlanAndTasks(true)\n    .generatedReportsFolderPath(\"/opt/app/data/report\")\n}\n

We will enable generate plan and tasks so that we can read from external sources for metadata and save the reports under a folder we can easily access.

"},{"location":"setup/guide/data-source/http/http/#schema","title":"Schema","text":"

We can point the schema of a data source to a OpenAPI/Swagger document or URL. For this example, we will use the OpenAPI document found under docker/mount/http/petstore.json in the data-caterer-example repo. This is a simplified version of the original OpenAPI spec that can be found here.

We have kept the following endpoints to test out:

  • GET /pets - get all pets
  • POST /pets - create a new pet
  • GET /pets/{id} - get a pet by id
  • DELETE /pets/{id} - delete a pet by id
JavaScala
var httpTask = http(\"my_http\")\n        .schema(metadataSource().openApi(\"/opt/app/mount/http/petstore.json\"))\n        .count(count().records(2));\n
val httpTask = http(\"my_http\")\n  .schema(metadataSource.openApi(\"/opt/app/mount/http/petstore.json\"))\n  .count(count.records(2))\n

The above defines that the schema will come from an OpenAPI document found on the pathway defined. It will then generate 2 requests per request method and endpoint combination.

"},{"location":"setup/guide/data-source/http/http/#run","title":"Run","text":"

Let's try run and see what happens.

cd ..\n./run.sh\n#input class MyAdvancedHttpJavaPlanRun or MyAdvancedHttpPlanRun\n#after completing\ndocker logs -f docker-http-1\n

It should look something like this.

172.21.0.1 [06/Nov/2023:01:06:53 +0000] GET /anything/pets?tags%3DeXQxFUHVja+EYm%26limit%3D33895 HTTP/1.1 200 Host: host.docker.internal}\n172.21.0.1 [06/Nov/2023:01:06:53 +0000] GET /anything/pets?tags%3DSXaFvAqwYGF%26tags%3DjdNRFONA%26limit%3D40975 HTTP/1.1 200 Host: host.docker.internal}\n172.21.0.1 [06/Nov/2023:01:06:56 +0000] POST /anything/pets HTTP/1.1 200 Host: host.docker.internal}\n172.21.0.1 [06/Nov/2023:01:06:56 +0000] POST /anything/pets HTTP/1.1 200 Host: host.docker.internal}\n172.21.0.1 [06/Nov/2023:01:07:00 +0000] GET /anything/pets/kbH8D7rDuq HTTP/1.1 200 Host: host.docker.internal}\n172.21.0.1 [06/Nov/2023:01:07:00 +0000] GET /anything/pets/REsa0tnu7dvekGDvxR HTTP/1.1 200 Host: host.docker.internal}\n172.21.0.1 [06/Nov/2023:01:07:03 +0000] DELETE /anything/pets/EqrOr1dHFfKUjWb HTTP/1.1 200 Host: host.docker.internal}\n172.21.0.1 [06/Nov/2023:01:07:03 +0000] DELETE /anything/pets/7WG7JHPaNxP HTTP/1.1 200 Host: host.docker.internal}\n

Looks like we have some data now. But we can do better and add some enhancements to it.

"},{"location":"setup/guide/data-source/http/http/#foreign-keys","title":"Foreign keys","text":"

The four different requests that get sent could have the same id passed across to each of them if we define a foreign key relationship. This will make it more realistic to a real life scenario as pets get created and queried by a particular id value. We note that the id value is first used when a pet is created in the body of the POST request. Then it gets used as a path parameter in the DELETE and GET requests.

To link them all together, we must follow a particular pattern when referring to request body, query parameter or path parameter columns.

HTTP Type Column Prefix Example Request Body bodyContent bodyContent.id Path Parameter pathParam pathParamid Query Parameter queryParam queryParamid Header header headerContent_Type

Also note, that when creating a foreign field definition for a HTTP data source, to refer to a specific endpoint and method, we have to follow the pattern of {http method}{http path}. For example, POST/pets. Let's apply this knowledge to link all the id values together.

JavaScala
var myPlan = plan().addForeignKeyRelationship(\n        foreignField(\"my_http\", \"POST/pets\", \"bodyContent.id\"),     //source of foreign key value\n        foreignField(\"my_http\", \"DELETE/pets/{id}\", \"pathParamid\"),\n        foreignField(\"my_http\", \"GET/pets/{id}\", \"pathParamid\")\n);\n\nexecute(myPlan, conf, httpTask);\n
val myPlan = plan.addForeignKeyRelationship(\n  foreignField(\"my_http\", \"POST/pets\", \"bodyContent.id\"),     //source of foreign key value\n  foreignField(\"my_http\", \"DELETE/pets/{id}\", \"pathParamid\"),\n  foreignField(\"my_http\", \"GET/pets/{id}\", \"pathParamid\")\n)\n\nexecute(myPlan, conf, httpTask)\n

Let's test it out by running it again

./run.sh\n#input class MyAdvancedHttpJavaPlanRun or MyAdvancedHttpPlanRun\ndocker logs -f docker-http-1\n
172.21.0.1 [06/Nov/2023:01:33:59 +0000] GET /anything/pets?limit%3D45971 HTTP/1.1 200 Host: host.docker.internal}\n172.21.0.1 [06/Nov/2023:01:34:00 +0000] GET /anything/pets?limit%3D62015 HTTP/1.1 200 Host: host.docker.internal}\n172.21.0.1 [06/Nov/2023:01:34:04 +0000] POST /anything/pets HTTP/1.1 200 Host: host.docker.internal}\n172.21.0.1 [06/Nov/2023:01:34:05 +0000] POST /anything/pets HTTP/1.1 200 Host: host.docker.internal}\n172.21.0.1 [06/Nov/2023:01:34:09 +0000] DELETE /anything/pets/5e HTTP/1.1 200 Host: host.docker.internal}\n172.21.0.1 [06/Nov/2023:01:34:09 +0000] DELETE /anything/pets/IHPm2 HTTP/1.1 200 Host: host.docker.internal}\n172.21.0.1 [06/Nov/2023:01:34:14 +0000] GET /anything/pets/IHPm2 HTTP/1.1 200 Host: host.docker.internal}\n172.21.0.1 [06/Nov/2023:01:34:14 +0000] GET /anything/pets/5e HTTP/1.1 200 Host: host.docker.internal}\n

Now we have the same id values being produced across the POST, DELETE and GET requests! What if we knew that the id values should follow a particular pattern?

"},{"location":"setup/guide/data-source/http/http/#custom-metadata","title":"Custom metadata","text":"

So given that we have defined a foreign key where the root of the foreign key values is from the POST request, we can update the metadata of the id column for the POST request and it will proliferate to the other endpoints as well. Given the id column is a nested column as noted in the foreign key, we can alter its metadata via the following:

JavaScala
var httpTask = http(\"my_http\")\n        .schema(metadataSource().openApi(\"/opt/app/mount/http/petstore.json\"))\n        .schema(field().name(\"bodyContent\").schema(field().name(\"id\").regex(\"ID[0-9]{8}\")))\n        .count(count().records(2));\n
val httpTask = http(\"my_http\")\n  .schema(metadataSource.openApi(\"/opt/app/mount/http/petstore.json\"))\n  .schema(field.name(\"bodyContent\").schema(field.name(\"id\").regex(\"ID[0-9]{8}\")))\n  .count(count.records(2))\n

We first get the column bodyContent, then get the nested schema and get the column id and add metadata stating that id should follow the patter ID[0-9]{8}.

Let's try run again, and hopefully we should see some proper ID values.

./run.sh\n#input class MyAdvancedHttpJavaPlanRun or MyAdvancedHttpPlanRun\ndocker logs -f docker-http-1\n
172.21.0.1 [06/Nov/2023:01:45:45 +0000] GET /anything/pets?tags%3D10fWnNoDz%26limit%3D66804 HTTP/1.1 200 Host: host.docker.internal}\n172.21.0.1 [06/Nov/2023:01:45:46 +0000] GET /anything/pets?tags%3DhyO6mI8LZUUpS HTTP/1.1 200 Host: host.docker.internal}\n172.21.0.1 [06/Nov/2023:01:45:50 +0000] POST /anything/pets HTTP/1.1 200 Host: host.docker.internal}\n172.21.0.1 [06/Nov/2023:01:45:51 +0000] POST /anything/pets HTTP/1.1 200 Host: host.docker.internal}\n172.21.0.1 [06/Nov/2023:01:45:52 +0000] DELETE /anything/pets/ID55185420 HTTP/1.1 200 Host: host.docker.internal}\n172.21.0.1 [06/Nov/2023:01:45:52 +0000] DELETE /anything/pets/ID20618951 HTTP/1.1 200 Host: host.docker.internal}\n172.21.0.1 [06/Nov/2023:01:45:57 +0000] GET /anything/pets/ID55185420 HTTP/1.1 200 Host: host.docker.internal}\n172.21.0.1 [06/Nov/2023:01:45:57 +0000] GET /anything/pets/ID20618951 HTTP/1.1 200 Host: host.docker.internal}\n

Great! Now we have replicated a production-like flow of HTTP requests.

"},{"location":"setup/guide/data-source/http/http/#ordering","title":"Ordering","text":"

If you wanted to change the ordering of the requests, you can alter the order from within the OpenAPI/Swagger document. This is particularly useful when you want to simulate the same flow that users would take when utilising your application (i.e. create account, query account, update account).

"},{"location":"setup/guide/data-source/http/http/#rows-per-second","title":"Rows per second","text":"

By default, Data Caterer will push requests per method and endpoint at a rate of around 5 requests per second. If you want to alter this value, you can do so via the below configuration. The lowest supported requests per second is 1.

JavaScala
import io.github.datacatering.datacaterer.api.model.Constants;\n\n...\nvar httpTask = http(\"my_http\", Map.of(Constants.ROWS_PER_SECOND(), \"1\"))\n        ...\n
import io.github.datacatering.datacaterer.api.model.Constants.ROWS_PER_SECOND\n\n...\nval httpTask = http(\"my_http\", options = Map(ROWS_PER_SECOND -> \"1\"))\n  ...\n

Check out the full example under AdvancedHttpPlanRun in the example repo.

"},{"location":"setup/guide/data-source/messaging/kafka/","title":"Kafka","text":"

Info

Writing data to Kafka is a paid feature.

Creating a data generator for Kafka. You will build a Docker image that will be able to populate data in kafka for the topics you configure.

"},{"location":"setup/guide/data-source/messaging/kafka/#requirements","title":"Requirements","text":"
  • 10 minutes
  • Git
  • Gradle
  • Docker
  • Kafka
"},{"location":"setup/guide/data-source/messaging/kafka/#get-started","title":"Get Started","text":"

First, we will clone the data-caterer-example repo which will already have the base project setup required.

JavaScalaYAMLUI
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n

Run Data Caterer UI via the 'Quick Start' found here.

If you already have a Kafka instance running, you can skip to this step.

"},{"location":"setup/guide/data-source/messaging/kafka/#kafka-setup","title":"Kafka Setup","text":"

Next, let's make sure you have an instance of Kafka up and running in your local environment. This will make it easy for us to iterate and check our changes.

cd docker\ndocker-compose up -d kafka\n
"},{"location":"setup/guide/data-source/messaging/kafka/#plan-setup","title":"Plan Setup","text":"

Create a new Java or Scala class.

  • Java: src/main/java/io/github/datacatering/plan/MyAdvancedKafkaJavaPlan.java
  • Scala: src/main/scala/io/github/datacatering/plan/MyAdvancedKafkaPlan.scala

Make sure your class extends PlanRun.

JavaScala
import io.github.datacatering.datacaterer.java.api.PlanRun;\n\npublic class MyAdvancedKafkaJavaPlan extends PlanRun {\n}\n
import io.github.datacatering.datacaterer.api.PlanRun\n\nclass MyAdvancedKafkaPlan extends PlanRun {\n}\n

This class defines where we need to define all of our configurations for generating data. There are helper variables and methods defined to make it simple and easy to use.

"},{"location":"setup/guide/data-source/messaging/kafka/#connection-configuration","title":"Connection Configuration","text":"

Within our class, we can start by defining the connection properties to connect to Kafka.

JavaScala
var accountTask = kafka(\n    \"my_kafka\",       //name\n    \"localhost:9092\", //url\n    Map.of()          //optional additional connection options\n);\n

Additional options can be found here.

val accountTask = kafka(\n    \"my_kafka\",       //name\n    \"localhost:9092\", //url\n    Map()             //optional additional connection options\n)\n

Additional options can be found here.

"},{"location":"setup/guide/data-source/messaging/kafka/#schema","title":"Schema","text":"

Let's create a task for inserting data into the account-topic that is already defined underdocker/data/kafka/setup_kafka.sh. This topic should already be setup for you if you followed this step. We can check if the topic is set up already via the following command:

docker exec docker-kafkaserver-1 kafka-topics --bootstrap-server localhost:9092 --list\n

Trimming the connection details to work with the docker-compose Kafka, we have a base Kafka connection to define the topic we will publish to. Let's define each field along with their corresponding data type. You will notice that the text fields do not have a data type defined. This is because the default data type is StringType.

JavaScala
{\n    var kafkaTask = kafka(\"my_kafka\", \"kafkaserver:29092\")\n            .topic(\"account-topic\")\n            .schema(\n                    field().name(\"key\").sql(\"content.account_id\"),\n                    field().name(\"value\").sql(\"TO_JSON(content)\"),\n                    //field().name(\"partition\").type(IntegerType.instance()),  can define partition here\n                    field().name(\"headers\")\n                            .type(ArrayType.instance())\n                            .sql(\n                                    \"ARRAY(\" +\n                                            \"NAMED_STRUCT('key', 'account-id', 'value', TO_BINARY(content.account_id, 'utf-8')),\" +\n                                            \"NAMED_STRUCT('key', 'updated', 'value', TO_BINARY(content.details.updated_by.time, 'utf-8'))\" +\n                                            \")\"\n                            ),\n                    field().name(\"content\")\n                            .schema(\n                                    field().name(\"account_id\").regex(\"ACC[0-9]{8}\"),\n                                    field().name(\"year\").type(IntegerType.instance()),\n                                    field().name(\"amount\").type(DoubleType.instance()),\n                                    field().name(\"details\")\n                                            .schema(\n                                                    field().name(\"name\").expression(\"#{Name.name}\"),\n                                                    field().name(\"first_txn_date\").type(DateType.instance()).sql(\"ELEMENT_AT(SORT_ARRAY(content.transactions.txn_date), 1)\"),\n                                                    field().name(\"updated_by\")\n                                                            .schema(\n                                                                    field().name(\"user\"),\n                                                                    field().name(\"time\").type(TimestampType.instance())\n                                                            )\n                                            ),\n                                    field().name(\"transactions\").type(ArrayType.instance())\n                                            .schema(\n                                                    field().name(\"txn_date\").type(DateType.instance()).min(Date.valueOf(\"2021-01-01\")).max(\"2021-12-31\"),\n                                                    field().name(\"amount\").type(DoubleType.instance())\n                                            )\n                            ),\n                    field().name(\"tmp_year\").sql(\"content.year\").omit(true),\n                    field().name(\"tmp_name\").sql(\"content.details.name\").omit(true)\n            )\n}\n
val kafkaTask = kafka(\"my_kafka\", \"kafkaserver:29092\")\n  .topic(\"account-topic\")\n  .schema(\n    field.name(\"key\").sql(\"content.account_id\"),\n    field.name(\"value\").sql(\"TO_JSON(content)\"),\n    //field.name(\"partition\").type(IntegerType),  can define partition here\n    field.name(\"headers\")\n      .`type`(ArrayType)\n      .sql(\n        \"\"\"ARRAY(\n          |  NAMED_STRUCT('key', 'account-id', 'value', TO_BINARY(content.account_id, 'utf-8')),\n          |  NAMED_STRUCT('key', 'updated', 'value', TO_BINARY(content.details.updated_by.time, 'utf-8'))\n          |)\"\"\".stripMargin\n      ),\n    field.name(\"content\")\n      .schema(\n        field.name(\"account_id\").regex(\"ACC[0-9]{8}\"),\n        field.name(\"year\").`type`(IntegerType).min(2021).max(2023),\n        field.name(\"amount\").`type`(DoubleType),\n        field.name(\"details\")\n          .schema(\n            field.name(\"name\").expression(\"#{Name.name}\"),\n            field.name(\"first_txn_date\").`type`(DateType).sql(\"ELEMENT_AT(SORT_ARRAY(content.transactions.txn_date), 1)\"),\n            field.name(\"updated_by\")\n              .schema(\n                field.name(\"user\"),\n                field.name(\"time\").`type`(TimestampType),\n              ),\n          ),\n        field.name(\"transactions\").`type`(ArrayType)\n          .schema(\n            field.name(\"txn_date\").`type`(DateType).min(Date.valueOf(\"2021-01-01\")).max(\"2021-12-31\"),\n            field.name(\"amount\").`type`(DoubleType),\n          )\n      ),\n    field.name(\"tmp_year\").sql(\"content.year\").omit(true),\n    field.name(\"tmp_name\").sql(\"content.details.name\").omit(true)\n  )\n
"},{"location":"setup/guide/data-source/messaging/kafka/#fields","title":"Fields","text":"

The schema defined for Kafka has a format that needs to be followed as noted above. Specifically, the required fields are: - value

Whilst, the other fields are optional:

  • key
  • partition
  • headers
"},{"location":"setup/guide/data-source/messaging/kafka/#headers","title":"headers","text":"

headers follows a particular pattern that where it is of type array<struct<key: string,value: binary>>. To be able to generate data for this data type, we need to use an SQL expression like the one below. You will notice that in the value part, it refers to content.account_id where content is another field defined at the top level of the schema. This allows you to reference other values that have already been generated.

JavaScala
field().name(\"headers\")\n        .type(ArrayType.instance())\n        .sql(\n                \"ARRAY(\" +\n                        \"NAMED_STRUCT('key', 'account-id', 'value', TO_BINARY(content.account_id, 'utf-8')),\" +\n                        \"NAMED_STRUCT('key', 'updated', 'value', TO_BINARY(content.details.updated_by.time, 'utf-8'))\" +\n                        \")\"\n        )\n
field.name(\"headers\")\n  .`type`(ArrayType)\n  .sql(\n    \"\"\"ARRAY(\n      |  NAMED_STRUCT('key', 'account-id', 'value', TO_BINARY(content.account_id, 'utf-8')),\n      |  NAMED_STRUCT('key', 'updated', 'value', TO_BINARY(content.details.updated_by.time, 'utf-8'))\n      |)\"\"\".stripMargin\n  )\n
"},{"location":"setup/guide/data-source/messaging/kafka/#transactions","title":"transactions","text":"

transactions is an array that contains an inner structure of txn_date and amount. The size of the array generated can be controlled via arrayMinLength and arrayMaxLength.

JavaScala
field().name(\"transactions\").type(ArrayType.instance())\n        .schema(\n                field().name(\"txn_date\").type(DateType.instance()).min(Date.valueOf(\"2021-01-01\")).max(\"2021-12-31\"),\n                field().name(\"amount\").type(DoubleType.instance())\n        )\n
field.name(\"transactions\").`type`(ArrayType)\n  .schema(\n    field.name(\"txn_date\").`type`(DateType).min(Date.valueOf(\"2021-01-01\")).max(\"2021-12-31\"),\n    field.name(\"amount\").`type`(DoubleType),\n  )\n
"},{"location":"setup/guide/data-source/messaging/kafka/#details","title":"details","text":"

details is another example of a nested schema structure where it also has a nested structure itself in updated_by. One thing to note here is the first_txn_date field has a reference to the content.transactions array where it will sort the array by txn_date and get the first element.

JavaScala
field().name(\"details\")\n        .schema(\n                field().name(\"name\").expression(\"#{Name.name}\"),\n                field().name(\"first_txn_date\").type(DateType.instance()).sql(\"ELEMENT_AT(SORT_ARRAY(content.transactions.txn_date), 1)\"),\n                field().name(\"updated_by\")\n                        .schema(\n                                field().name(\"user\"),\n                                field().name(\"time\").type(TimestampType.instance())\n                        )\n        )\n
field.name(\"details\")\n  .schema(\n    field.name(\"name\").expression(\"#{Name.name}\"),\n    field.name(\"first_txn_date\").`type`(DateType).sql(\"ELEMENT_AT(SORT_ARRAY(content.transactions.txn_date), 1)\"),\n    field.name(\"updated_by\")\n      .schema(\n        field.name(\"user\"),\n        field.name(\"time\").`type`(TimestampType),\n      ),\n  )\n
"},{"location":"setup/guide/data-source/messaging/kafka/#additional-configurations","title":"Additional Configurations","text":"

At the end of data generation, a report gets generated that summarises the actions it performed. We can control the output folder of that report via configurations.

JavaScala
var config = configuration()\n        .generatedReportsFolderPath(\"/opt/app/data/report\");\n
val config = configuration\n  .generatedReportsFolderPath(\"/opt/app/data/report\")\n
"},{"location":"setup/guide/data-source/messaging/kafka/#execute","title":"Execute","text":"

To tell Data Caterer that we want to run with the configurations along with the kafkaTask, we have to call execute .

"},{"location":"setup/guide/data-source/messaging/kafka/#run","title":"Run","text":"

Now we can run via the script ./run.sh that is in the top level directory of the data-caterer-example to run the class we just created.

./run.sh\n#input class AdvancedKafkaJavaPlanRun or AdvancedKafkaPlanRun\n#after completing\ndocker exec docker-kafkaserver-1 kafka-console-consumer --bootstrap-server localhost:9092 --topic account-topic --from-beginning\n

Your output should look like this.

{\"account_id\":\"ACC56292178\",\"year\":2022,\"amount\":18338.627721151555,\"details\":{\"name\":\"Isaias Reilly\",\"first_txn_date\":\"2021-01-22\",\"updated_by\":{\"user\":\"FgYXbKDWdhHVc3\",\"time\":\"2022-12-30T13:49:07.309Z\"}},\"transactions\":[{\"txn_date\":\"2021-01-22\",\"amount\":30556.52125487579},{\"txn_date\":\"2021-10-29\",\"amount\":39372.302259554635},{\"txn_date\":\"2021-10-29\",\"amount\":61887.31389495968}]}\n{\"account_id\":\"ACC37729457\",\"year\":2022,\"amount\":96885.31758764731,\"details\":{\"name\":\"Randell Witting\",\"first_txn_date\":\"2021-06-30\",\"updated_by\":{\"user\":\"HCKYEBHN8AJ3TB\",\"time\":\"2022-12-02T02:05:01.144Z\"}},\"transactions\":[{\"txn_date\":\"2021-06-30\",\"amount\":98042.09647765031},{\"txn_date\":\"2021-10-06\",\"amount\":41191.43564742036},{\"txn_date\":\"2021-11-16\",\"amount\":78852.08184809204},{\"txn_date\":\"2021-10-09\",\"amount\":13747.157653571106}]}\n{\"account_id\":\"ACC23127317\",\"year\":2023,\"amount\":81164.49304198896,\"details\":{\"name\":\"Jed Wisozk\",\"updated_by\":{\"user\":\"9MBFZZ\",\"time\":\"2023-07-12T05:56:52.397Z\"}},\"transactions\":[]}\n

Also check the HTML report, found at docker/sample/report/index.html, that gets generated to get an overview of what was executed.

"},{"location":"setup/guide/data-source/messaging/solace/","title":"Solace","text":"

Info

Writing data to Solace is a paid feature.

Creating a data generator for Solace. You will build a Docker image that will be able to populate data in Solace for the queues/topics you configure.

"},{"location":"setup/guide/data-source/messaging/solace/#requirements","title":"Requirements","text":"
  • 10 minutes
  • Git
  • Gradle
  • Docker
  • Solace
"},{"location":"setup/guide/data-source/messaging/solace/#get-started","title":"Get Started","text":"

First, we will clone the data-caterer-example repo which will already have the base project setup required.

JavaScalaYAMLUI
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n

Run Data Caterer UI via the 'Quick Start' found here.

If you already have a Solace instance running, you can skip to this step.

"},{"location":"setup/guide/data-source/messaging/solace/#solace-setup","title":"Solace Setup","text":"

Next, let's make sure you have an instance of Solace up and running in your local environment. This will make it easy for us to iterate and check our changes.

cd docker\ndocker-compose up -d solace\n

Open up localhost:8080 and login with admin:admin and check there is the default VPN like below. Notice there is 2 queues/topics created. If you do not see 2 created, try to run the script found under docker/data/solace/setup_solace.sh and change the host to localhost.

"},{"location":"setup/guide/data-source/messaging/solace/#plan-setup","title":"Plan Setup","text":"

Create a new Java or Scala class.

  • Java: src/main/java/io/github/datacatering/plan/MyAdvancedSolaceJavaPlan.java
  • Scala: src/main/scala/io/github/datacatering/plan/MyAdvancedSolacePlan.scala

Make sure your class extends PlanRun.

JavaScala
import io.github.datacatering.datacaterer.java.api.PlanRun;\n\npublic class MyAdvancedSolaceJavaPlan extends PlanRun {\n}\n
import io.github.datacatering.datacaterer.api.PlanRun\n\nclass MyAdvancedSolacePlan extends PlanRun {\n}\n

This class defines where we need to define all of our configurations for generating data. There are helper variables and methods defined to make it simple and easy to use.

"},{"location":"setup/guide/data-source/messaging/solace/#connection-configuration","title":"Connection Configuration","text":"

Within our class, we can start by defining the connection properties to connect to Solace.

JavaScala
var accountTask = solace(\n    \"my_solace\",                        //name\n    \"smf://host.docker.internal:55554\", //url\n    Map.of()                            //optional additional connection options\n);\n

Additional connection options can be found here.

val accountTask = solace(\n    \"my_solace\",                        //name\n    \"smf://host.docker.internal:55554\", //url\n    Map()                               //optional additional connection options\n)\n

Additional connection options can be found here.

"},{"location":"setup/guide/data-source/messaging/solace/#schema","title":"Schema","text":"

Let's create a task for inserting data into the rest_test_queue or rest_test_topic that is already created for us from this step.

Trimming the connection details to work with the docker-compose Solace, we have a base Solace connection to define the JNDI destination we will publish to. Let's define each field along with their corresponding data type. You will notice that the text fields do not have a data type defined. This is because the default data type is StringType.

JavaScala
{\n    var solaceTask = solace(\"my_solace\", \"smf://host.docker.internal:55554\")\n            .destination(\"/JNDI/Q/rest_test_queue\")\n            .schema(\n                    field().name(\"value\").sql(\"TO_JSON(content)\"),\n                    //field().name(\"partition\").type(IntegerType.instance()),   //can define message JMS priority here\n                    field().name(\"headers\")                                     //set message properties via headers field\n                            .type(HeaderType.getType())\n                            .sql(\n                                    \"ARRAY(\" +\n                                            \"NAMED_STRUCT('key', 'account-id', 'value', TO_BINARY(content.account_id, 'utf-8')),\" +\n                                            \"NAMED_STRUCT('key', 'updated', 'value', TO_BINARY(content.details.updated_by.time, 'utf-8'))\" +\n                                            \")\"\n                            ),\n                    field().name(\"content\")\n                            .schema(\n                                    field().name(\"account_id\").regex(\"ACC[0-9]{8}\"),\n                                    field().name(\"year\").type(IntegerType.instance()).min(2021).max(2023),\n                                    field().name(\"amount\").type(DoubleType.instance()),\n                                    field().name(\"details\")\n                                            .schema(\n                                                    field().name(\"name\").expression(\"#{Name.name}\"),\n                                                    field().name(\"first_txn_date\").type(DateType.instance()).sql(\"ELEMENT_AT(SORT_ARRAY(content.transactions.txn_date), 1)\"),\n                                                    field().name(\"updated_by\")\n                                                            .schema(\n                                                                    field().name(\"user\"),\n                                                                    field().name(\"time\").type(TimestampType.instance())\n                                                            )\n                                            ),\n                                    field().name(\"transactions\").type(ArrayType.instance())\n                                            .schema(\n                                                    field().name(\"txn_date\").type(DateType.instance()).min(Date.valueOf(\"2021-01-01\")).max(\"2021-12-31\"),\n                                                    field().name(\"amount\").type(DoubleType.instance())\n                                            )\n                            )\n            )\n            .count(count().records(10));\n}\n
val solaceTask = solace(\"my_solace\", \"smf://host.docker.internal:55554\")\n  .destination(\"/JNDI/Q/rest_test_queue\")\n  .schema(\n    field.name(\"value\").sql(\"TO_JSON(content)\"),\n    //field.name(\"partition\").`type`(IntegerType),  //can define message JMS priority here\n    field.name(\"headers\")                           //set message properties via headers field\n      .`type`(HeaderType.getType)\n      .sql(\n        \"\"\"ARRAY(\n          |  NAMED_STRUCT('key', 'account-id', 'value', TO_BINARY(content.account_id, 'utf-8')),\n          |  NAMED_STRUCT('key', 'updated', 'value', TO_BINARY(content.details.updated_by.time, 'utf-8'))\n          |)\"\"\".stripMargin\n      ),\n    field.name(\"content\")\n      .schema(\n        field.name(\"account_id\").regex(\"ACC[0-9]{8}\"),\n        field.name(\"year\").`type`(IntegerType).min(2021).max(2023),\n        field.name(\"amount\").`type`(DoubleType),\n        field.name(\"details\")\n          .schema(\n            field.name(\"name\").expression(\"#{Name.name}\"),\n            field.name(\"first_txn_date\").`type`(DateType).sql(\"ELEMENT_AT(SORT_ARRAY(content.transactions.txn_date), 1)\"),\n            field.name(\"updated_by\")\n              .schema(\n                field.name(\"user\"),\n                field.name(\"time\").`type`(TimestampType),\n              ),\n          ),\n        field.name(\"transactions\").`type`(ArrayType)\n          .schema(\n            field.name(\"txn_date\").`type`(DateType).min(Date.valueOf(\"2021-01-01\")).max(\"2021-12-31\"),\n            field.name(\"amount\").`type`(DoubleType),\n          )\n      ),\n  ).count(count.records(10))\n
"},{"location":"setup/guide/data-source/messaging/solace/#fields","title":"Fields","text":"

The schema defined for Solace has a format that needs to be followed as noted above. Specifically, the required fields are:

  • value

Whilst, the other fields are optional:

  • partition - refers to JMS priority of the message
  • headers - refers to JMS message properties
"},{"location":"setup/guide/data-source/messaging/solace/#headers","title":"headers","text":"

headers follows a particular pattern that where it is of type HeaderType.getType which behind the scenes, translates toarray<struct<key: string,value: binary>>. To be able to generate data for this data type, we need to use an SQL expression like the one below. You will notice that in thevalue part, it refers to content.account_id where content is another field defined at the top level of the schema. This allows you to reference other values that have already been generated.

JavaScala
field().name(\"headers\")\n        .type(HeaderType.getType())\n        .sql(\n                \"ARRAY(\" +\n                        \"NAMED_STRUCT('key', 'account-id', 'value', TO_BINARY(content.account_id, 'utf-8')),\" +\n                        \"NAMED_STRUCT('key', 'updated', 'value', TO_BINARY(content.details.updated_by.time, 'utf-8'))\" +\n                        \")\"\n        )\n
field.name(\"headers\")\n  .`type`(HeaderType.getType)\n  .sql(\n    \"\"\"ARRAY(\n      |  NAMED_STRUCT('key', 'account-id', 'value', TO_BINARY(content.account_id, 'utf-8')),\n      |  NAMED_STRUCT('key', 'updated', 'value', TO_BINARY(content.details.updated_by.time, 'utf-8'))\n      |)\"\"\".stripMargin\n  )\n
"},{"location":"setup/guide/data-source/messaging/solace/#transactions","title":"transactions","text":"

transactions is an array that contains an inner structure of txn_date and amount. The size of the array generated can be controlled via arrayMinLength and arrayMaxLength.

JavaScala
field().name(\"transactions\").type(ArrayType.instance())\n        .schema(\n                field().name(\"txn_date\").type(DateType.instance()).min(Date.valueOf(\"2021-01-01\")).max(\"2021-12-31\"),\n                field().name(\"amount\").type(DoubleType.instance())\n        )\n
field.name(\"transactions\").`type`(ArrayType)\n  .schema(\n    field.name(\"txn_date\").`type`(DateType).min(Date.valueOf(\"2021-01-01\")).max(\"2021-12-31\"),\n    field.name(\"amount\").`type`(DoubleType),\n  )\n
"},{"location":"setup/guide/data-source/messaging/solace/#details","title":"details","text":"

details is another example of a nested schema structure where it also has a nested structure itself in updated_by. One thing to note here is the first_txn_date field has a reference to the content.transactions array where it will sort the array by txn_date and get the first element.

JavaScala
field().name(\"details\")\n        .schema(\n                field().name(\"name\").expression(\"#{Name.name}\"),\n                field().name(\"first_txn_date\").type(DateType.instance()).sql(\"ELEMENT_AT(SORT_ARRAY(content.transactions.txn_date), 1)\"),\n                field().name(\"updated_by\")\n                        .schema(\n                                field().name(\"user\"),\n                                field().name(\"time\").type(TimestampType.instance())\n                        )\n        )\n
field.name(\"details\")\n  .schema(\n    field.name(\"name\").expression(\"#{Name.name}\"),\n    field.name(\"first_txn_date\").`type`(DateType).sql(\"ELEMENT_AT(SORT_ARRAY(content.transactions.txn_date), 1)\"),\n    field.name(\"updated_by\")\n      .schema(\n        field.name(\"user\"),\n        field.name(\"time\").`type`(TimestampType),\n      ),\n  )\n
"},{"location":"setup/guide/data-source/messaging/solace/#additional-configurations","title":"Additional Configurations","text":"

At the end of data generation, a report gets generated that summarises the actions it performed. We can control the output folder of that report via configurations.

JavaScala
var config = configuration()\n        .generatedReportsFolderPath(\"/opt/app/data/report\");\n
val config = configuration\n  .generatedReportsFolderPath(\"/opt/app/data/report\")\n
"},{"location":"setup/guide/data-source/messaging/solace/#execute","title":"Execute","text":"

To tell Data Caterer that we want to run with the configurations along with the kafkaTask, we have to call execute.

"},{"location":"setup/guide/data-source/messaging/solace/#run","title":"Run","text":"

Now we can run via the script ./run.sh that is in the top level directory of the data-caterer-example to run the class we just created.

./run.sh\n#input class AdvancedSolaceJavaPlanRun or AdvancedSolacePlanRun\n#after completing, check http://localhost:8080 from browser\n

Your output should look like this.

Unfortunately, there is no easy way to see the message content. You can check the message content from your application or service that consumes these messages.

Also check the HTML report, found at docker/sample/report/index.html, that gets generated to get an overview of what was executed. Or view the sample report found here.

"},{"location":"setup/guide/data-source/metadata/great-expectations/","title":"Great Expectations Source","text":"

Info

Generating data based on an external metadata source is a paid feature.

Creating a data generator for a JSON file and validating the data based on expectations in Great Expectations.

"},{"location":"setup/guide/data-source/metadata/great-expectations/#requirements","title":"Requirements","text":"
  • 10 minutes
  • Git
  • Gradle
  • Docker
"},{"location":"setup/guide/data-source/metadata/great-expectations/#get-started","title":"Get Started","text":"

First, we will clone the data-caterer-example repo which will already have the base project setup required.

JavaScalaYAMLUI
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n

Run Data Caterer UI via the 'Quick Start' found here.

"},{"location":"setup/guide/data-source/metadata/great-expectations/#great-expectations-setup","title":"Great Expectations Setup","text":"

A sample expectations file that will be used for this guide can be found here.

If you want to use your own expectations file, simply add it into the docker/mount/ge folder path and follow the below steps.

"},{"location":"setup/guide/data-source/metadata/great-expectations/#plan-setup","title":"Plan Setup","text":"

Create a new Java or Scala class.

  • Java: src/main/java/io/github/datacatering/plan/MyAdvancedGreatExpectationsJavaPlanRun.java
  • Scala: src/main/scala/io/github/datacatering/plan/MyAdvancedGreatExpectationsPlanRun.scala

Make sure your class extends PlanRun.

JavaScala
import io.github.datacatering.datacaterer.java.api.PlanRun;\n...\n\npublic class MyAdvancedGreatExpectationsJavaPlanRun extends PlanRun {\n    {\n        var conf = configuration().enableGenerateValidations(true)\n            .generatedReportsFolderPath(\"/opt/app/data/report\");\n    }\n}\n
import io.github.datacatering.datacaterer.api.PlanRun\n...\n\nclass MyAdvancedGreatExpectationsPlanRun extends PlanRun {\n  val conf = configuration.enableGenerateValidations(true)\n    .generatedReportsFolderPath(\"/opt/app/data/report\")\n}\n

We will enable generate validations so that we can read from external sources for validations and save the reports under a folder we can easily access.

"},{"location":"setup/guide/data-source/metadata/great-expectations/#great-expectations","title":"Great Expectations","text":"

To point to a specific expectations file, we create a metadata source as seen below.

JavaScala
var greatExpectationsSource = metadataSource().greatExpectations(\"/opt/app/mount/ge/taxi-expectations.json\");\n
val greatExpectationsSource = metadataSource.greatExpectations(\"/opt/app/mount/ge/taxi-expectations.json\")\n
"},{"location":"setup/guide/data-source/metadata/great-expectations/#schema-validation","title":"Schema & Validation","text":"

To simulate a scenario where we have an existing data source, we will manually create a sample dataset.

At the end, we point to our expectations metadata source to use those validations to validate the data.

JavaScala
var jsonTask = json(\"my_json\", \"/opt/app/data/json\", Map.of(\"saveMode\", \"overwrite\"))\n        .schema(\n                field().name(\"vendor_id\"),\n                field().name(\"pickup_datetime\").type(TimestampType.instance()),\n                field().name(\"dropoff_datetime\").type(TimestampType.instance()),\n                field().name(\"passenger_count\").type(IntegerType.instance()),\n                field().name(\"trip_distance\").type(DoubleType.instance()),\n                field().name(\"rate_code_id\"),\n                field().name(\"store_and_fwd_flag\"),\n                field().name(\"pickup_location_id\"),\n                field().name(\"dropoff_location_id\"),\n                field().name(\"payment_type\"),\n                field().name(\"fare_amount\").type(DoubleType.instance()),\n                field().name(\"extra\"),\n                field().name(\"mta_tax\").type(DoubleType.instance()),\n                field().name(\"tip_amount\").type(DoubleType.instance()),\n                field().name(\"tolls_amount\").type(DoubleType.instance()),\n                field().name(\"improvement_surcharge\").type(DoubleType.instance()),\n                field().name(\"total_amount\").type(DoubleType.instance()),\n                field().name(\"congestion_surcharge\").type(DoubleType.instance())\n        )\n        .validations(greatExpectations);\n
val jsonTask = json(\"my_json\", \"/opt/app/data/taxi_json\", Map(\"saveMode\" -> \"overwrite\"))\n  .schema(\n    field.name(\"vendor_id\"),\n    field.name(\"pickup_datetime\").`type`(TimestampType),\n    field.name(\"dropoff_datetime\").`type`(TimestampType),\n    field.name(\"passenger_count\").`type`(IntegerType),\n    field.name(\"trip_distance\").`type`(DoubleType),\n    field.name(\"rate_code_id\"),\n    field.name(\"store_and_fwd_flag\"),\n    field.name(\"pickup_location_id\"),\n    field.name(\"dropoff_location_id\"),\n    field.name(\"payment_type\"),\n    field.name(\"fare_amount\").`type`(DoubleType),\n    field.name(\"extra\"),\n    field.name(\"mta_tax\").`type`(DoubleType),\n    field.name(\"tip_amount\").`type`(DoubleType),\n    field.name(\"tolls_amount\").`type`(DoubleType),\n    field.name(\"improvement_surcharge\").`type`(DoubleType),\n    field.name(\"total_amount\").`type`(DoubleType),\n    field.name(\"congestion_surcharge\").`type`(DoubleType),\n  )\n  .validations(greatExpectationsSource)\n
"},{"location":"setup/guide/data-source/metadata/great-expectations/#run","title":"Run","text":"

Let's try run and see what happens.

cd ..\n./run.sh\n#input class MyAdvancedGreatExpectationsJavaPlanRun or MyAdvancedGreatExpectationsPlanRun\n#after completing\n#open docker/sample/report/index.html\n

It should look something like this.

So we were just able to validate our data source from reading a Great Expectations file. Simple! This gives us an easy way to integrate with existing data validations, but now we can relate that to generated data in test environments.

But we still may want to add on our own validations outside what is in Great Expectations.

"},{"location":"setup/guide/data-source/metadata/great-expectations/#custom-validation","title":"Custom validation","text":"

We found that we should also check that the trip_distance has to be less than 500 but was not included in Great Expectations. No worries, we can simply add it in here alongside the existing expectations.

JavaScala
var jsonTask = json(\"my_json\", \"/opt/app/data/json\", Map.of(\"saveMode\", \"overwrite\"))\n        .schema(\n            ...\n        ))\n        .validations(greatExpectations)\n        .validations(validation().col(\"trip_distance\").lessThan(500));\n
val jsonTask = json(\"my_json\", \"/opt/app/data/json\", Map(\"saveMode\" -> \"overwrite\"))\n  .schema(\n    ...\n  ))\n  .validations(greatExpectationsSource)\n  .validations(validation.col(\"trip_distance\").lessThan(500))\n

Let's test it out by running it again

./run.sh\n#input class MyAdvancedGreatExpectationsJavaPlanRun or MyAdvancedGreatExpectationsJavaPlanRun\n#open docker/sample/report/index.html\n

Check out the full example under AdvancedGreatExpectationsPlanRun in the example repo.

"},{"location":"setup/guide/data-source/metadata/marquez/","title":"Metadata Source","text":"

Info

Generating data based on an external metadata source is a paid feature.

Creating a data generator for Postgres tables and CSV file based on metadata stored in Marquez ( follows OpenLineage API).

"},{"location":"setup/guide/data-source/metadata/marquez/#requirements","title":"Requirements","text":"
  • 10 minutes
  • Git
  • Gradle
  • Docker
"},{"location":"setup/guide/data-source/metadata/marquez/#get-started","title":"Get Started","text":"

First, we will clone the data-caterer-example repo which will already have the base project setup required.

JavaScalaYAMLUI
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n

Run Data Caterer UI via the 'Quick Start' found here.

"},{"location":"setup/guide/data-source/metadata/marquez/#marquez-setup","title":"Marquez Setup","text":"

You can follow the README found here to help with setting up Marquez in your local environment. This comes with an instance of Postgres which we will also be using as a data store for generated data.

The command that was run for this example to help with setup of dummy data was ./docker/up.sh -a 5001 -m 5002 --seed.

Check that the following url shows some data like below once you click on food_delivery from the ns drop down in the top right corner.

"},{"location":"setup/guide/data-source/metadata/marquez/#postgres-setup","title":"Postgres Setup","text":"

Since we will also be using the Marquez Postgres instance as a data source, we will set up a separate database to store the generated data in via:

docker exec marquez-db psql -Upostgres -c 'CREATE DATABASE food_delivery'\n
"},{"location":"setup/guide/data-source/metadata/marquez/#plan-setup","title":"Plan Setup","text":"

Create a new Java or Scala class.

  • Java: src/main/java/io/github/datacatering/plan/MyAdvancedMetadataSourceJavaPlanRun.java
  • Scala: src/main/scala/io/github/datacatering/plan/MyAdvancedMetadataSourcePlanRun.scala

Make sure your class extends PlanRun.

JavaScala
import io.github.datacatering.datacaterer.java.api.PlanRun;\n...\n\npublic class MyAdvancedMetadataSourceJavaPlanRun extends PlanRun {\n    {\n        var conf = configuration().enableGeneratePlanAndTasks(true)\n            .generatedReportsFolderPath(\"/opt/app/data/report\");\n    }\n}\n
import io.github.datacatering.datacaterer.api.PlanRun\n...\n\nclass MyAdvancedMetadataSourcePlanRun extends PlanRun {\n  val conf = configuration.enableGeneratePlanAndTasks(true)\n    .generatedReportsFolderPath(\"/opt/app/data/report\")\n}\n

We will enable generate plan and tasks so that we can read from external sources for metadata and save the reports under a folder we can easily access.

"},{"location":"setup/guide/data-source/metadata/marquez/#schema","title":"Schema","text":"

We can point the schema of a data source to our Marquez instance. For the Postgres data source, we will point to a namespace, which in Marquez or OpenLineage, represents a set of datasets. For the CSV data source, we will point to a specific namespace and dataset.

"},{"location":"setup/guide/data-source/metadata/marquez/#single-schema","title":"Single Schema","text":"JavaScala
var csvTask = csv(\"my_csv\", \"/tmp/data/csv\", Map.of(\"saveMode\", \"overwrite\", \"header\", \"true\"))\n        .schema(metadataSource().marquez(\"http://localhost:5001\", \"food_delivery\", \"public.delivery_7_days\"))\n        .count(count().records(10));\n
val csvTask = csv(\"my_csv\", \"/tmp/data/csv\", Map(\"saveMode\" -> \"overwrite\", \"header\" -> \"true\"))\n  .schema(metadataSource.marquez(\"http://localhost:5001\", \"food_delivery\", \"public.delivery_7_days\"))\n  .count(count.records(10))\n

The above defines that the schema will come from Marquez, which is a type of metadata source that contains information about schemas. Specifically, it points to the food_delivery namespace and public.categories dataset to retrieve the schema information from.

"},{"location":"setup/guide/data-source/metadata/marquez/#multiple-schemas","title":"Multiple Schemas","text":"JavaScala
var postgresTask = postgres(\"my_postgres\", \"jdbc:postgresql://host.docker.internal:5432/food_delivery\", \"postgres\", \"password\", Map.of())\n    .schema(metadataSource().marquez(\"http://host.docker.internal:5001\", \"food_delivery\"))\n    .count(count().records(10));\n
val postgresTask = postgres(\"my_postgres\", \"jdbc:postgresql://host.docker.internal:5432/food_delivery\", \"postgres\", \"password\")\n  .schema(metadataSource.marquez(\"http://host.docker.internal:5001\", \"food_delivery\"))\n  .count(count.records(10))\n

We now have pointed this Postgres instance to produce multiple schemas that are defined under the food_delivery namespace. Also note that we are using database food_delivery in Postgres to push our generated data to, and we have set the number of records per sub data source (in this case, per table) to be 10.

"},{"location":"setup/guide/data-source/metadata/marquez/#run","title":"Run","text":"

Let's try run and see what happens.

cd ..\n./run.sh\n#input class MyAdvancedMetadataSourceJavaPlanRun or MyAdvancedMetadataSourcePlanRun\n#after completing\ndocker exec marquez-db psql -Upostgres -d food_delivery -c 'SELECT * FROM public.delivery_7_days'\n

It should look something like this.

 order_id |     order_placed_on     |   order_dispatched_on   |   order_delivered_on    |         customer_email         |                     customer_address                     | menu_id | restaurant_id |                        restaurant_address\n   | menu_item_id | category_id | discount_id | city_id | driver_id\n----------+-------------------------+-------------------------+-------------------------+--------------------------------+----------------------------------------------------------+---------+---------------+---------------------------------------------------------------\n---+--------------+-------------+-------------+---------+-----------\n    38736 | 2023-02-05 06:05:23.755 | 2023-09-08 04:29:10.878 | 2023-09-03 23:58:34.285 | april.skiles@hotmail.com       | 5018 Lang Dam, Gaylordfurt, MO 35172                     |   59841 |         30971 | Suite 439 51366 Bartoletti Plains, West Lashawndamouth, CA 242\n42 |        55697 |       36370 |       21574 |   88022 |     16569\n     4376 | 2022-12-19 14:39:53.442 | 2023-08-30 07:40:06.948 | 2023-03-15 20:38:26.11  | adelina.balistreri@hotmail.com | Apt. 340 9146 Novella Motorway, East Troyhaven, UT 34773 |   66195 |         42765 | Suite 670 8956 Rob Fork, Rennershire, CA 04524\n   |        26516 |       81335 |       87615 |   27433 |     45649\n    11083 | 2022-10-30 12:46:38.692 | 2023-06-02 13:05:52.493 | 2022-11-27 18:38:07.873 | johnny.gleason@gmail.com       | Apt. 385 99701 Lemke Place, New Irvin, RI 73305          |   66427 |         44438 | 1309 Danny Cape, Weimanntown, AL 15865\n   |        41686 |       36508 |       34498 |   24191 |     92405\n    58759 | 2023-07-26 14:32:30.883 | 2022-12-25 11:04:08.561 | 2023-04-21 17:43:05.86  | isabelle.ohara@hotmail.com     | 2225 Evie Lane, South Ardella, SD 90805                  |   27106 |         25287 | Suite 678 3731 Dovie Park, Port Luigi, ID 08250\n   |        94205 |       66207 |       81051 |   52553 |     27483\n

You can also try query some other tables. Let's also check what is in the CSV file.

$ head docker/sample/csv/part-0000*\nmenu_item_id,category_id,discount_id,city_id,driver_id,order_id,order_placed_on,order_dispatched_on,order_delivered_on,customer_email,customer_address,menu_id,restaurant_id,restaurant_address\n72248,37098,80135,45888,5036,11090,2023-09-20T05:33:08.036+08:00,2023-05-16T23:10:57.119+08:00,2023-05-01T22:02:23.272+08:00,demetrice.rohan@hotmail.com,\"406 Harmony Rue, Wisozkburgh, MD 12282\",33762,9042,\"Apt. 751 0796 Ellan Flats, Lake Chetville, WI 81957\"\n41644,40029,48565,83373,89919,58359,2023-04-18T06:28:26.194+08:00,2022-10-15T18:17:48.998+08:00,2023-02-06T17:02:04.104+08:00,joannie.okuneva@yahoo.com,\"Suite 889 022 Susan Lane, Zemlakport, OR 56996\",27467,6216,\"Suite 016 286 Derick Grove, Dooleytown, NY 14664\"\n49299,53699,79675,40821,61764,72234,2023-07-16T21:33:48.739+08:00,2023-02-14T21:23:10.265+08:00,2023-09-18T02:08:51.433+08:00,ina.heller@yahoo.com,\"Suite 600 86844 Heller Island, New Celestinestad, DE 42622\",48002,12462,\"5418 Okuneva Mountain, East Blairchester, MN 04060\"\n83197,86141,11085,29944,81164,65382,2023-01-20T06:08:25.981+08:00,2023-01-11T13:24:32.968+08:00,2023-09-09T02:30:16.890+08:00,lakisha.bashirian@yahoo.com,\"Suite 938 534 Theodore Lock, Port Caitlynland, LA 67308\",69109,47727,\"4464 Stewart Tunnel, Marguritemouth, AR 56791\"\n

Looks like we have some data now. But we can do better and add some enhancements to it.

What if we wanted the same records in Postgres public.delivery_7_days to also show up in the CSV file? That's where we can use a foreign key definition.

"},{"location":"setup/guide/data-source/metadata/marquez/#foreign-key","title":"Foreign Key","text":"

We can take a look at the report (under docker/sample/report/index.html) to see what we need to do to create the foreign key. From the overview, you should see under Tasks there is a my_postgres task which has food_delivery_public.delivery_7_days as a step. Click on the link for food_delivery_public.delivery_7_days and it will take us to a page where we can find out about the columns used in this table. Click on the Fields button on the far right to see.

We can copy all of a subset of fields that we want matched across the CSV file and Postgres. For this example, we will take all the fields.

JavaScala
var myPlan = plan().addForeignKeyRelationship(\n        postgresTask, List.of(\"key\", \"tmp_year\", \"tmp_name\", \"value\"),\n        List.of(Map.entry(csvTask, List.of(\"account_number\", \"year\", \"name\", \"payload\")))\n);\n\nvar conf = ...\n\nexecute(myPlan, conf, postgresTask, csvTask);\n
val foreignCols = List(\"order_id\", \"order_placed_on\", \"order_dispatched_on\", \"order_delivered_on\", \"customer_email\",\n  \"customer_address\", \"menu_id\", \"restaurant_id\", \"restaurant_address\", \"menu_item_id\", \"category_id\", \"discount_id\",\n  \"city_id\", \"driver_id\")\n\nval myPlan = plan.addForeignKeyRelationships(\n  csvTask, foreignCols,\n  List(foreignField(postgresTask, \"food_delivery_public.delivery_7_days\", foreignCols))\n)\n\nval conf = ...\n\nexecute(myPlan, conf, postgresTask, csvTask)\n

Notice how we have defined the csvTask and foreignCols as the main foreign key but for postgresTask, we had to define it as a foreignField. This is because postgresTask has multiple tables within it, and we only want to define our foreign key with respect to the public.delivery_7_days table. We use the step name (can be seen from the report) to specify the table to target.

To test this out, we will truncate the public.delivery_7_days table in Postgres first, and then try run again.

docker exec marquez-db psql -Upostgres -d food_delivery -c 'TRUNCATE public.delivery_7_days'\n./run.sh\n#input class MyAdvancedMetadataSourceJavaPlanRun or MyAdvancedMetadataSourcePlanRun\ndocker exec marquez-db psql -Upostgres -d food_delivery -c 'SELECT * FROM public.delivery_7_days'\n
 order_id |     order_placed_on     |   order_dispatched_on   |   order_delivered_on    |        customer_email        |\n       customer_address                     | menu_id | restaurant_id |                   restaurant_address                   | menu\n_item_id | category_id | discount_id | city_id | driver_id\n----------+-------------------------+-------------------------+-------------------------+------------------------------+-------------\n--------------------------------------------+---------+---------------+--------------------------------------------------------+-----\n---------+-------------+-------------+---------+-----------\n    53333 | 2022-10-15 08:40:23.394 | 2023-01-23 09:42:48.397 | 2023-08-12 08:50:52.397 | normand.aufderhar@gmail.com  | Apt. 036 449\n27 Wilderman Forge, Marvinchester, CT 15952 |   40412 |         70130 | Suite 146 98176 Schaden Village, Grahammouth, SD 12354 |\n   90141 |       44210 |       83966 |   78614 |     77449\n

Let's grab the first email from the Postgres table and check whether the same record exists in the CSV file.

$ cat docker/sample/csv/part-0000* | grep normand.aufderhar\n90141,44210,83966,78614,77449,53333,2022-10-15T08:40:23.394+08:00,2023-01-23T09:42:48.397+08:00,2023-08-12T08:50:52.397+08:00,normand.aufderhar@gmail.com,\"Apt. 036 44927 Wilderman Forge, Marvinchester, CT 15952\",40412,70130,\"Suite 146 98176 Schaden Village, Grahammouth, SD 12354\"\n

Great! Now we have the ability to get schema information from an external source, add our own foreign keys and generate data.

Check out the full example under AdvancedMetadataSourcePlanRun in the example repo.

"},{"location":"setup/guide/data-source/metadata/open-data-contract-standard/","title":"Open Data Contract Standard (ODCS) Source","text":"

Info

Generating data based on an external metadata source is a paid feature.

Creating a data generator for a CSV file based on metadata stored in Open Data Contract Standard (ODCS).

"},{"location":"setup/guide/data-source/metadata/open-data-contract-standard/#requirements","title":"Requirements","text":"
  • 10 minutes
  • Git
  • Gradle
  • Docker
"},{"location":"setup/guide/data-source/metadata/open-data-contract-standard/#get-started","title":"Get Started","text":"

First, we will clone the data-caterer-example repo which will already have the base project setup required.

JavaScalaYAMLUI
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n

Run Data Caterer UI via the 'Quick Start' found here.

"},{"location":"setup/guide/data-source/metadata/open-data-contract-standard/#open-data-contract-standard-odcs-setup","title":"Open Data Contract Standard (ODCS) Setup","text":"

You can follow the local docker setup found here to help with setting up Open Data Contract Standard (ODCS) in your local environment.

"},{"location":"setup/guide/data-source/metadata/open-data-contract-standard/#plan-setup","title":"Plan Setup","text":"

Create a new Java or Scala class.

  • Java: src/main/java/io/github/datacatering/plan/MyAdvancedODCSJavaPlanRun.java
  • Scala: src/main/scala/io/github/datacatering/plan/MyAdvancedODCSPlanRun.scala
  • YAML: docker/data/customer/plan/my-odcs.yaml

Make sure your class extends PlanRun.

JavaScalaYAMLUI
import io.github.datacatering.datacaterer.java.api.PlanRun;\n...\n\npublic class MyAdvancedODCSJavaPlanRun extends PlanRun {\n    {\n        var conf = configuration().enableGeneratePlanAndTasks(true)\n            .generatedReportsFolderPath(\"/opt/app/data/report\");\n    }\n}\n
import io.github.datacatering.datacaterer.api.PlanRun\n...\n\nclass MyAdvancedODCSPlanRun extends PlanRun {\n  val conf = configuration.enableGeneratePlanAndTasks(true)\n    .generatedReportsFolderPath(\"/opt/app/data/report\")\n}\n

In docker/data/custom/plan/my-odcs.yaml:

name: \"my_odcs_plan\"\ndescription: \"Create account data in CSV via ODCS metadata\"\ntasks:\n  - name: \"csv_account_file\"\n    dataSourceName: \"customer_accounts\"\n    enabled: true\n

In application.conf:

flags {\n  enableUniqueCheck = true\n}\nfolders {\n  generatedReportsFolderPath = \"/opt/app/data/report\"\n}\n

  1. Click on Advanced Configuration towards the bottom of the screen
  2. Click on Flag and click on Unique Check
  3. Click on Folder and enter /tmp/data-caterer/report for Generated Reports Folder Path

We will enable generate plan and tasks so that we can read from external sources for metadata and save the reports under a folder we can easily access.

"},{"location":"setup/guide/data-source/metadata/open-data-contract-standard/#schema","title":"Schema","text":"

We can point the schema of a data source to our Open Data Contract Standard (ODCS) file.

JavaScalaYAMLUI
var accountTask = csv(\"my_csv\", \"/opt/app/data/account-odcs\", Map.of(\"header\", \"true\"))\n        .schema(metadataSource().openDataContractStandard(\"/opt/app/mount/odcs/full-example.yaml\"))\n        .count(count().records(100));\n
val accountTask = csv(\"customer_accounts\", \"/opt/app/data/customer/account-odcs\", Map(\"header\" -> \"true\"))\n  .schema(metadataSource.openDataContractStandard(\"/opt/app/mount/odcs/full-example.yaml\"))\n  .count(count.records(100))\n

In docker/data/custom/task/file/csv/csv-odcs-account-task.yaml:

name: \"csv_account_file\"\nsteps:\n  - name: \"accounts\"\n    type: \"csv\"\n    options:\n      path: \"/opt/app/data/csv/account-odcs\"\n      metadata_source_type: \"open_data_contract_standard\"\n      dataContractFile: \"/opt/app/mount/odcs/full-example.yaml\"\n    count:\n      records: 100\n

  1. Click on Connection tab at the top
  2. Select ODCS as the data source and enter example-odcs
  3. Copy this file into /tmp/odcs/full-example.yaml
  4. Enter /tmp/odcs/full-example.yaml as the Contract File

The above defines that the schema will come from Open Data Contract Standard (ODCS), which is a type of metadata source that contains information about schemas. Specifically, it points to the schema provided here in the docker/mount/odcs folder of data-caterer-example repo.

"},{"location":"setup/guide/data-source/metadata/open-data-contract-standard/#run","title":"Run","text":"

Let's try run and see what happens.

JavaScalaYAMLUI
./run.sh MyAdvancedODCSJavaPlanRun\nhead docker/sample/account-odcs/part-00000-*\n
./run.sh MyAdvancedODCSPlanRun\nhead docker/sample/account-odcs/part-00000-*\n
./run.sh my-odcs.yaml\nhead docker/sample/account-odcs/part-00000-*\n
  1. Click on Execute at the top
    head /tmp/data-caterer/customer/account-odcs/part-00000*\n

It should look something like this.

txn_ref_dt,rcvr_id,rcvr_cntry_code\n2023-07-11,PB0Wo dMx,nWlbRGIinpJfP\n2024-05-01,5GtkNkHfwuxLKdM,1a\n2024-05-01,OxuATCLAUIhHzr,gSxn2ct\n2024-05-22,P4qe,y9htWZhyjW\n

Looks like we have some data now. But we can do better and add some enhancements to it.

"},{"location":"setup/guide/data-source/metadata/open-data-contract-standard/#custom-metadata","title":"Custom metadata","text":"

We can see from the data generated, that it isn't quite what we want. Sometimes, the metadata is not sufficient for us to produce production-like data yet, and we want to manually edit it. Let's try to add some enhancements to it.

Let's make the rcvr_id field follow the regex RC[0-9]{8} and the field rcvr_cntry_code should only be one of either AU, US or TW. For the full guide on data generation options, check the following page.

JavaScalaYAMLUI
var accountTask = csv(\"my_csv\", \"/opt/app/data/account-odcs\", Map.of(\"header\", \"true\"))\n            .schema(metadata...)\n            .schema(\n                field().name(\"rcvr_id\").regex(\"RC[0-9]{8}\"),\n                field().name(\"rcvr_cntry_code\").oneOf(\"AU\", \"US\", \"TW\")\n            )\n            .count(count().records(100));\n
val accountTask = csv(\"customer_accounts\", \"/opt/app/data/customer/account-odcs\", Map(\"header\" -> \"true\"))\n  .schema(metadata...)\n  .schema(\n    field.name(\"rcvr_id\").regex(\"RC[0-9]{8}\"),\n    field.name(\"rcvr_cntry_code\").oneOf(\"AU\", \"US\", \"TW\")\n  )\n  .count(count.records(100))\n

In docker/data/custom/task/file/csv/csv-odcs-account-task.yaml:

name: \"csv_account_file\"\nsteps:\n  - name: \"accounts\"\n    type: \"csv\"\n    options:\n      path: \"/opt/app/data/csv/account-odcs\"\n    count:\n      records: 100\n    schema:\n      fields:\n        - name: \"rcvr_id\"\n          options:\n            regex: \"RC[0-9]{8}\"\n        - name: \"rcvr_cntry_code\"\n          options:\n            oneOf:\n              - \"AU\"\n              - \"US\"\n              - \"TW\"\n

  1. Click on Generation and tick the Manual checkbox
  2. Click on + Field
    1. Go to rcvr_id field
    2. Click on + dropdown next to string data type
    3. Click Regex and enter RC[0-9]{8}
  3. Click on + Field
    1. Go to rcvr_cntry_code field
    2. Click on + dropdown next to string data type
    3. Click One Of and enter AU,US,TW

Let's test it out by running it again

JavaScalaYAMLUI
./run.sh MyAdvancedODCSJavaPlanRun\nhead docker/sample/account-odcs/part-00000-*\n
./run.sh MyAdvancedODCSPlanRun\nhead docker/sample/account-odcs/part-00000-*\n
./run.sh my-odcs.yaml\nhead docker/sample/account-odcs/part-00000-*\n
  1. Click on Execute at the top
    head /tmp/data-caterer/customer/account-odcs/part-00000*\n
txn_ref_dt,rcvr_id,rcvr_cntry_code\n2024-02-15,RC02579393,US\n2023-08-18,RC14320425,AU\n2023-07-07,RC17915355,TW\n2024-06-07,RC47347046,TW\n

Great! Now we have the ability to get schema information from an external source, add our own metadata and generate data.

"},{"location":"setup/guide/data-source/metadata/open-data-contract-standard/#data-validation","title":"Data validation","text":"

To find out what data validation options are available, check this link.

Another aspect of Open Data Contract Standard (ODCS) that can be leveraged is the definition of data quality rules. Once the latest version of ODCS is released (version 3.x), there should be a vendor neutral definition of data quality rules that Data Caterer can use. Once available, it will be as easy as enabling data validations via enableGenerateValidations in configuration.

JavaScala
var conf = configuration().enableGeneratePlanAndTasks(true)\n    .enableGenerateValidations(true)\n    .generatedReportsFolderPath(\"/opt/app/data/report\");\n\nexecute(conf, accountTask);\n
val conf = configuration.enableGeneratePlanAndTasks(true)\n  .enableGenerateValidations(true)\n  .generatedReportsFolderPath(\"/opt/app/data/report\")\n\nexecute(conf, accountTask)\n

Check out the full example under AdvancedODCSSourcePlanRun in the example repo.

"},{"location":"setup/guide/data-source/metadata/open-metadata/","title":"OpenMetadata Source","text":"

Info

Generating data based on an external metadata source is a paid feature.

Creating a data generator for a JSON file based on metadata stored in OpenMetadata.

"},{"location":"setup/guide/data-source/metadata/open-metadata/#requirements","title":"Requirements","text":"
  • 10 minutes
  • Git
  • Gradle
  • Docker
"},{"location":"setup/guide/data-source/metadata/open-metadata/#get-started","title":"Get Started","text":"

First, we will clone the data-caterer-example repo which will already have the base project setup required.

JavaScalaYAMLUI
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n

Run Data Caterer UI via the 'Quick Start' found here.

"},{"location":"setup/guide/data-source/metadata/open-metadata/#openmetadata-setup","title":"OpenMetadata Setup","text":"

You can follow the local docker setup found here to help with setting up OpenMetadata in your local environment.

If that page becomes outdated or the link doesn't work, below are the commands I used to run it:

mkdir openmetadata-docker && cd openmetadata-docker\ncurl -sL https://github.com/open-metadata/OpenMetadata/releases/download/1.2.0-release/docker-compose.yml > docker-compose.yml\ndocker compose -f docker-compose.yml up --detach\n

Check that the following url works and login with admin:admin. Then you should see some data like below:

"},{"location":"setup/guide/data-source/metadata/open-metadata/#plan-setup","title":"Plan Setup","text":"

Create a new Java or Scala class.

  • Java: src/main/java/io/github/datacatering/plan/MyAdvancedOpenMetadataSourceJavaPlanRun.java
  • Scala: src/main/scala/io/github/datacatering/plan/MyAdvancedOpenMetadataSourcePlanRun.scala

Make sure your class extends PlanRun.

JavaScala
import io.github.datacatering.datacaterer.java.api.PlanRun;\n...\n\npublic class MyAdvancedOpenMetadataSourceJavaPlanRun extends PlanRun {\n    {\n        var conf = configuration().enableGeneratePlanAndTasks(true)\n            .generatedReportsFolderPath(\"/opt/app/data/report\");\n    }\n}\n
import io.github.datacatering.datacaterer.api.PlanRun\n...\n\nclass MyAdvancedOpenMetadataSourcePlanRun extends PlanRun {\n  val conf = configuration.enableGeneratePlanAndTasks(true)\n    .generatedReportsFolderPath(\"/opt/app/data/report\")\n}\n

We will enable generate plan and tasks so that we can read from external sources for metadata and save the reports under a folder we can easily access.

"},{"location":"setup/guide/data-source/metadata/open-metadata/#schema","title":"Schema","text":"

We can point the schema of a data source to our OpenMetadata instance. We will use a JSON data source so that we can show how nested data types are handled and how we could customise it.

"},{"location":"setup/guide/data-source/metadata/open-metadata/#single-schema","title":"Single Schema","text":"JavaScala
import io.github.datacatering.datacaterer.api.model.Constants;\n...\n\nvar jsonTask = json(\"my_json\", \"/opt/app/data/json\", Map.of(\"saveMode\", \"overwrite\"))\n        .schema(metadataSource().openMetadataJava(\n            \"http://localhost:8585/api\",                                                              //url\n            Constants.OPEN_METADATA_AUTH_TYPE_OPEN_METADATA(),                                        //auth type\n            Map.of(                                                                                   //additional options (including auth options)\n                Constants.OPEN_METADATA_JWT_TOKEN(), \"abc123\",                                        //get from settings/bots/ingestion-bot\n                Constants.OPEN_METADATA_TABLE_FQN(), \"sample_data.ecommerce_db.shopify.raw_customer\"  //table fully qualified name\n            )\n        ))\n        .count(count().records(10));\n
import io.github.datacatering.datacaterer.api.model.Constants.{OPEN_METADATA_AUTH_TYPE_OPEN_METADATA, OPEN_METADATA_JWT_TOKEN, OPEN_METADATA_TABLE_FQN, SAVE_MODE}\n...\n\nval jsonTask = json(\"my_json\", \"/opt/app/data/json\", Map(\"saveMode\" -> \"overwrite\"))\n  .schema(metadataSource.openMetadata(\n    \"http://localhost:8585/api\",                                                  //url\n    OPEN_METADATA_AUTH_TYPE_OPEN_METADATA,                                        //auth type\n    Map(                                                                          //additional options (including auth options)\n      OPEN_METADATA_JWT_TOKEN -> \"abc123\",                                        //get from settings/bots/ingestion-bot\n      OPEN_METADATA_TABLE_FQN -> \"sample_data.ecommerce_db.shopify.raw_customer\"  //table fully qualified name\n    )\n  ))\n  .count(count.records(10))\n

The above defines that the schema will come from OpenMetadata, which is a type of metadata source that contains information about schemas. Specifically, it points to the sample_data.ecommerce_db.shopify.raw_customer table. You can check out the schema here to see what it looks like.

"},{"location":"setup/guide/data-source/metadata/open-metadata/#run","title":"Run","text":"

Let's try run and see what happens.

cd ..\n./run.sh\n#input class MyAdvancedOpenMetadataSourceJavaPlanRun or MyAdvancedOpenMetadataSourcePlanRun\n#after completing\ncat docker/sample/json/part-00000-*\n

It should look something like this.

{\n  \"comments\": \"Mh6jqpD5e4M\",\n  \"creditcard\": \"6771839575926717\",\n  \"membership\": \"Za3wCQUl9E  EJj712\",\n  \"orders\": [\n    {\n      \"product_id\": \"Aa6NG0hxfHVq\",\n      \"price\": 16139,\n      \"onsale\": false,\n      \"tax\": 58134,\n      \"weight\": 40734,\n      \"others\": 45813,\n      \"vendor\": \"Kh\"\n    },\n    {\n      \"product_id\": \"zbHBY \",\n      \"price\": 17903,\n      \"onsale\": false,\n      \"tax\": 39526,\n      \"weight\": 9346,\n      \"others\": 52035,\n      \"vendor\": \"jbkbnXAa\"\n    },\n    {\n      \"product_id\": \"5qs3gakppd7Nw5\",\n      \"price\": 48731,\n      \"onsale\": true,\n      \"tax\": 81105,\n      \"weight\": 2004,\n      \"others\": 20465,\n      \"vendor\": \"nozCDMSXRPH Ev\"\n    },\n    {\n      \"product_id\": \"CA6h17ANRwvb\",\n      \"price\": 62102,\n      \"onsale\": true,\n      \"tax\": 96601,\n      \"weight\": 78849,\n      \"others\": 79453,\n      \"vendor\": \" ihVXEJz7E2EFS\"\n    }\n  ],\n  \"platform\": \"GLt9\",\n  \"preference\": {\n    \"key\": \"nmPmsPjg C\",\n    \"value\": true\n  },\n  \"shipping_address\": [\n    {\n      \"name\": \"Loren Bechtelar\",\n      \"street_address\": \"Suite 526 293 Rohan Road, Wunschshire, NE 25532\",\n      \"city\": \"South Norrisland\",\n      \"postcode\": \"56863\"\n    }\n  ],\n  \"shipping_date\": \"2022-11-03\",\n  \"transaction_date\": \"2023-02-01\",\n  \"customer\": {\n    \"username\": \"lance.murphy\",\n    \"name\": \"Zane Brakus DVM\",\n    \"sex\": \"7HcAaPiO\",\n    \"address\": \"594 Loida Haven, Gilland, MA 26071\",\n    \"mail\": \"Un3fhbvK2rEbenIYdnq\",\n    \"birthdate\": \"2023-01-31\"\n  }\n}\n

Looks like we have some data now. But we can do better and add some enhancements to it.

"},{"location":"setup/guide/data-source/metadata/open-metadata/#custom-metadata","title":"Custom metadata","text":"

We can see from the data generated, that it isn't quite what we want. The metadata is not sufficient for us to produce production-like data yet. Let's try to add some enhancements to it.

Let's make the platform field a choice field that can only be a set of certain values and the nested field customer.sex is also from a predefined set of values.

JavaScala
var jsonTask = json(\"my_json\", \"/opt/app/data/json\", Map.of(\"saveMode\", \"overwrite\"))\n            .schema(\n                metadata...\n            ))\n            .schema(\n                field().name(\"platform\").oneOf(\"website\", \"mobile\"),\n                field().name(\"customer\").schema(field().name(\"sex\").oneOf(\"M\", \"F\", \"O\"))\n            )\n            .count(count().records(10));\n
val jsonTask = json(\"my_json\", \"/opt/app/data/json\", Map(\"saveMode\" -> \"overwrite\"))\n  .schema(\n    metadata...\n  ))\n  .schema(\n    field.name(\"platform\").oneOf(\"website\", \"mobile\"),\n    field.name(\"customer\").schema(field.name(\"sex\").oneOf(\"M\", \"F\", \"O\"))\n  )\n  .count(count.records(10))\n

Let's test it out by running it again

./run.sh\n#input class MyAdvancedMetadataSourceJavaPlanRun or MyAdvancedMetadataSourcePlanRun\ncat docker/sample/json/part-00000-*\n
{\n  \"comments\": \"vqbPUm\",\n  \"creditcard\": \"6304867705548636\",\n  \"membership\": \"GZ1xOnpZSUOKN\",\n  \"orders\": [\n    {\n      \"product_id\": \"rgOokDAv\",\n      \"price\": 77367,\n      \"onsale\": false,\n      \"tax\": 61742,\n      \"weight\": 87855,\n      \"others\": 26857,\n      \"vendor\": \"04XHR64ImMr9T\"\n    }\n  ],\n  \"platform\": \"mobile\",\n  \"preference\": {\n    \"key\": \"IB5vNdWka\",\n    \"value\": true\n  },\n  \"shipping_address\": [\n    {\n      \"name\": \"Isiah Bins\",\n      \"street_address\": \"36512 Ross Spurs, Hillhaven, IA 18760\",\n      \"city\": \"Averymouth\",\n      \"postcode\": \"75818\"\n    },\n    {\n      \"name\": \"Scott Prohaska\",\n      \"street_address\": \"26573 Haley Ports, Dariusland, MS 90642\",\n      \"city\": \"Ashantimouth\",\n      \"postcode\": \"31792\"\n    },\n    {\n      \"name\": \"Rudolf Stamm\",\n      \"street_address\": \"Suite 878 0516 Danica Path, New Christiaport, ID 10525\",\n      \"city\": \"Doreathaport\",\n      \"postcode\": \"62497\"\n    }\n  ],\n  \"shipping_date\": \"2023-08-24\",\n  \"transaction_date\": \"2023-02-01\",\n  \"customer\": {\n    \"username\": \"jolie.cremin\",\n    \"name\": \"Fay Klein\",\n    \"sex\": \"O\",\n    \"address\": \"Apt. 174 5084 Volkman Creek, Hillborough, PA 61959\",\n    \"mail\": \"BiTmzb7\",\n    \"birthdate\": \"2023-04-07\"\n  }\n}\n

Great! Now we have the ability to get schema information from an external source, add our own metadata and generate data.

"},{"location":"setup/guide/data-source/metadata/open-metadata/#data-validation","title":"Data validation","text":"

Another aspect of OpenMetadata that can be leveraged is the definition of data quality rules. These rules can be incorporated into your Data Caterer job as well by enabling data validations via enableGenerateValidations in configuration.

JavaScala
var conf = configuration().enableGeneratePlanAndTasks(true)\n    .enableGenerateValidations(true)\n    .generatedReportsFolderPath(\"/opt/app/data/report\");\n\nexecute(conf, jsonTask);\n
val conf = configuration.enableGeneratePlanAndTasks(true)\n  .enableGenerateValidations(true)\n  .generatedReportsFolderPath(\"/opt/app/data/report\")\n\nexecute(conf, jsonTask)\n

Check out the full example under AdvancedOpenMetadataSourcePlanRun in the example repo.

"},{"location":"setup/guide/scenario/auto-generate-connection/","title":"Auto Generate From Data Connection","text":"

Info

Auto data generation from data connection is a paid feature.

Creating a data generator based on only a data connection to Postgres.

"},{"location":"setup/guide/scenario/auto-generate-connection/#requirements","title":"Requirements","text":"
  • 5 minutes
  • Git
  • Gradle
  • Docker
"},{"location":"setup/guide/scenario/auto-generate-connection/#get-started","title":"Get Started","text":"

First, we will clone the data-caterer-example repo which will already have the base project setup required.

JavaScalaYAMLUI
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n

Run Data Caterer UI via the 'Quick Start' found here.

"},{"location":"setup/guide/scenario/auto-generate-connection/#plan-setup","title":"Plan Setup","text":"

Create a new Java or Scala class.

  • Java: src/main/java/io/github/datacatering/plan/MyAdvancedAutomatedJavaPlanRun.java
  • Scala: src/main/scala/io/github/datacatering/plan/MyAdvancedAutomatedPlanRun.scala

Make sure your class extends PlanRun.

JavaScala
import io.github.datacatering.datacaterer.java.api.PlanRun;\n...\n\npublic class MyAdvancedAutomatedJavaPlanRun extends PlanRun {\n    {\n        var autoRun = configuration()\n                .postgres(\"my_postgres\", \"jdbc:postgresql://host.docker.internal:5432/customer\")  (1)\n                .enableGeneratePlanAndTasks(true)                                                 (2)\n                .generatedPlanAndTaskFolderPath(\"/opt/app/data/generated\")                        (3)\n                .enableUniqueCheck(true)                                                          (4)\n                .generatedReportsFolderPath(\"/opt/app/data/report\");\n\n        execute(autoRun);\n    }\n}\n
import io.github.datacatering.datacaterer.api.PlanRun\n...\n\nclass MyAdvancedAutomatedPlanRun extends PlanRun {\n\n  val autoRun = configuration\n    .postgres(\"my_postgres\", \"jdbc:postgresql://host.docker.internal:5432/customer\")  (1)\n    .enableGeneratePlanAndTasks(true)                                                 (2)\n    .generatedPlanAndTaskFolderPath(\"/opt/app/data/generated\")                        (3)\n    .enableUniqueCheck(true)                                                          (4)\n    .generatedReportsFolderPath(\"/opt/app/data/report\")\n\n  execute(configuration = autoRun)\n}\n

In the above code, we note the following:

  1. Data source configuration to a Postgres data source called my_postgres
  2. We have enabled the flag enableGeneratePlanAndTasks which tells Data Caterer to go to my_postgres and generate data for all the tables found under the database customer (which is defined in the connection string).
  3. The config generatedPlanAndTaskFolderPath defines where the metadata that is gathered from my_postgres should be saved at so that we could re-use it later.
  4. enableUniqueCheck is set to true to ensure that generated data is unique based on primary key or foreign key definitions.

Note

Unique check will only ensure generated data is unique. Any existing data in your data source is not taken into account, so generated data may fail to insert depending on the data source restrictions

"},{"location":"setup/guide/scenario/auto-generate-connection/#postgres-setup","title":"Postgres Setup","text":"

If you don't have your own Postgres up and running, you can set up and run an instance configured in the docker folder via.

cd docker\ndocker-compose up -d postgres\ndocker exec docker-postgresserver-1 psql -Upostgres -d customer -c '\\dt+ account.*'\n

This will create the tables found under docker/data/sql/postgres/customer.sql. You can change this file to contain your own tables. We can see there are 4 tables created for us, accounts, balances, transactions and mapping.

"},{"location":"setup/guide/scenario/auto-generate-connection/#run","title":"Run","text":"

Let's try run.

cd ..\n./run.sh\n#input class MyAdvancedAutomatedJavaPlanRun or MyAdvancedAutomatedPlanRun\n#after completing\ndocker exec docker-postgresserver-1 psql -Upostgres -d customer -c 'select * from account.accounts limit 1;'\n

It should look something like this.

   id   | account_number  | account_status | created_by | created_by_fixed_length | customer_id_int | customer_id_smallint | customer_id_bigint |   customer_id_decimal    | customer_id_real | customer_id_double | open_date  |     open_timestamp      | last_opened_time |                                                           payload_bytes\n--------+-----------------+----------------+------------+-------------------------+-----------------+----------------------+--------------------+--------------------------+------------------+--------------------+------------+-------------------------+------------------+------------------------------------------------------------------------------------------------------------------------------------\n 100414 | 5uROOVOUyQUbubN | h3H            | SfA0eZJcTm | CuRw                    |              13 |                   42 |               6041 | 76987.745612542900000000 |         91866.78 |  66400.37433202339 | 2023-03-05 | 2023-08-14 11:33:11.343 | 23:58:01.736     | \\x604d315d4547616e6a233050415373317274736f5e682d516132524f3d23233c37463463322f342d34376d597e665d6b3d395b4238284028622b7d6d2b4f5042\n(1 row)\n

The data that gets inserted will follow the foreign keys that are defined within Postgres and also ensure the insertion order is correct.

Also check the HTML report that gets generated under docker/sample/report/index.html. You can see a summary of what was generated along with other metadata.

You can now look to play around with other tables or data sources and auto generate for them.

"},{"location":"setup/guide/scenario/auto-generate-connection/#additional-topics","title":"Additional Topics","text":""},{"location":"setup/guide/scenario/auto-generate-connection/#learn-from-existing-data","title":"Learn From Existing Data","text":"

If you have any existing data within your data source, Data Caterer will gather metadata about the existing data to help guide it when generating new data. There are configurations that can help tune the metadata analysis found here.

"},{"location":"setup/guide/scenario/auto-generate-connection/#filter-out-schematables","title":"Filter Out Schema/Tables","text":"

As part of your connection definition, you can define any schemas and/or tables your don't want to generate data for. In the example below, it will not generate any data for any tables under the history and audit schemas. Also, any table with the name balances or transactions in any schema will also not have data generated.

JavaScala
var autoRun = configuration()\n        .postgres(\n              \"my_postgres\", \n              \"jdbc:postgresql://host.docker.internal:5432/customer\",\n              Map.of(\n                  \"filterOutSchema\", \"history, audit\",\n                  \"filterOutTable\", \"balances, transactions\")\n              )\n        )\n
val autoRun = configuration\n  .postgres(\n    \"my_postgres\",\n    \"jdbc:postgresql://host.docker.internal:5432/customer\",\n    Map(\n      \"filterOutSchema\" -> \"history, audit\",\n      \"filterOutTable\" -> \"balances, transactions\")\n    )\n  )\n
"},{"location":"setup/guide/scenario/auto-generate-connection/#define-record-count","title":"Define record count","text":"

You can control the record count per sub data source via numRecordsPerStep.

JavaScala
var autoRun = configuration()\n      ...\n      .numRecordsPerStep(100)\n\nexecute(autoRun)\n
val autoRun = configuration\n  ...\n  .numRecordsPerStep(100)\n\nexecute(configuration = autoRun)\n
"},{"location":"setup/guide/scenario/batch-and-event/","title":"Generate Batch and Event Data","text":"

Info

Generating event data is a paid feature.

Creating a data generator for Kafka topic with matching records in a CSV file.

"},{"location":"setup/guide/scenario/batch-and-event/#requirements","title":"Requirements","text":"
  • 5 minutes
  • Git
  • Gradle
  • Docker
"},{"location":"setup/guide/scenario/batch-and-event/#get-started","title":"Get Started","text":"

First, we will clone the data-caterer-example repo which will already have the base project setup required.

JavaScalaYAMLUI
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n

Run Data Caterer UI via the 'Quick Start' found here.

"},{"location":"setup/guide/scenario/batch-and-event/#kafka-setup","title":"Kafka Setup","text":"

If you don't have your own Kafka up and running, you can set up and run an instance configured in the docker folder via.

cd docker\ndocker-compose up -d kafka\ndocker exec docker-kafkaserver-1 kafka-topics --bootstrap-server localhost:9092 --list\n

Let's create a task for inserting data into the account-topic that is already defined underdocker/data/kafka/setup_kafka.sh.

"},{"location":"setup/guide/scenario/batch-and-event/#plan-setup","title":"Plan Setup","text":"

Create a new Java or Scala class.

  • Java: src/main/java/io/github/datacatering/plan/MyAdvancedBatchEventJavaPlanRun.java
  • Scala: src/main/scala/io/github/datacatering/plan/MyAdvancedBatchEventPlanRun.scala

Make sure your class extends PlanRun.

JavaScala
import io.github.datacatering.datacaterer.java.api.PlanRun;\n...\n\npublic class MyAdvancedBatchEventJavaPlanRun extends PlanRun {\n    {\n        var kafkaTask = new AdvancedKafkaJavaPlanRun().getKafkaTask();\n    }\n}\n
import io.github.datacatering.datacaterer.api.PlanRun\n...\n\nclass MyAdvancedBatchEventPlanRun extends PlanRun {\n  val kafkaTask = new AdvancedKafkaPlanRun().kafkaTask\n}\n

We will borrow the Kafka task that is already defined under the class AdvancedKafkaPlanRun or AdvancedKafkaJavaPlanRun. You can go through the Kafka guide here for more details.

"},{"location":"setup/guide/scenario/batch-and-event/#schema","title":"Schema","text":"

Let us set up the corresponding schema for the CSV file where we want to match the values that are generated for the Kafka messages.

JavaScala
var kafkaTask = new AdvancedKafkaJavaPlanRun().getKafkaTask();\n\nvar csvTask = csv(\"my_csv\", \"/opt/app/data/csv/account\")\n        .schema(\n                field().name(\"account_number\"),\n                field().name(\"year\"),\n                field().name(\"name\"),\n                field().name(\"payload\")\n        );\n
val kafkaTask = new AdvancedKafkaPlanRun().kafkaTask\n\nval csvTask = csv(\"my_csv\", \"/opt/app/data/csv/account\")\n  .schema(\n    field.name(\"account_number\"),\n    field.name(\"year\"),\n    field.name(\"name\"),\n    field.name(\"payload\")\n)\n

This is a simple schema where we want to use the values and metadata that is already defined in the kafkaTask to determine what the data will look like for the CSV file. Even if we defined some metadata here, it would be overridden when we define our foreign key relationships.

"},{"location":"setup/guide/scenario/batch-and-event/#foreign-keys","title":"Foreign Keys","text":"

From the above CSV schema, we see note the following against the Kafka schema:

  • account_number in CSV needs to match with the account_id in Kafka
    • We see that account_id is referred to in the key column as field.name(\"key\").sql(\"content.account_id\")
  • year needs to match with content.year in Kafka, which is a nested field
    • We can only do foreign key relationships with top level fields, not nested fields. So we define a new column called tmp_year which will not appear in the final output for the Kafka messages but is used as an intermediate step field.name(\"tmp_year\").sql(\"content.year\").omit(true)
  • name needs to match with content.details.name in Kafka, also a nested field
    • Using the same logic as above, we define a temporary column called tmp_name which will take the value of the nested field but will be omitted field.name(\"tmp_name\").sql(\"content.details.name\").omit(true)
  • payload represents the whole JSON message sent to Kafka, which matches to value column

Our foreign keys are therefore defined like below. Order is important when defining the list of columns. The index needs to match with the corresponding column in the other data source.

JavaScala
var myPlan = plan().addForeignKeyRelationship(\n        kafkaTask, List.of(\"key\", \"tmp_year\", \"tmp_name\", \"value\"),\n        List.of(Map.entry(csvTask, List.of(\"account_number\", \"year\", \"name\", \"payload\")))\n);\n\nvar conf = configuration()\n      .generatedReportsFolderPath(\"/opt/app/data/report\");\n\nexecute(myPlan, conf, kafkaTask, csvTask);\n
val myPlan = plan.addForeignKeyRelationship(\n    kafkaTask, List(\"key\", \"tmp_year\", \"tmp_name\", \"value\"),\n    List(csvTask -> List(\"account_number\", \"year\", \"name\", \"payload\"))\n)\n\nval conf = configuration.generatedReportsFolderPath(\"/opt/app/data/report\")\n\nexecute(myPlan, conf, kafkaTask, csvTask)\n
"},{"location":"setup/guide/scenario/batch-and-event/#run","title":"Run","text":"

Let's try run.

cd ..\n./run.sh\n#input class MyAdvancedBatchEventJavaPlanRun or MyAdvancedBatchEventPlanRun\n#after completing\ndocker exec docker-kafkaserver-1 kafka-console-consumer --bootstrap-server localhost:9092 --topic account-topic --from-beginning\n

It should look something like this.

{\"account_id\":\"ACC03093143\",\"year\":2023,\"amount\":87990.37196728592,\"details\":{\"name\":\"Nadine Heidenreich Jr.\",\"first_txn_date\":\"2021-11-09\",\"updated_by\":{\"user\":\"YfEyJCe8ohrl0j IfyT\",\"time\":\"2022-09-26T20:47:53.404Z\"}},\"transactions\":[{\"txn_date\":\"2021-11-09\",\"amount\":97073.7914706189}]}\n{\"account_id\":\"ACC08764544\",\"year\":2021,\"amount\":28675.58758765888,\"details\":{\"name\":\"Delila Beer\",\"first_txn_date\":\"2021-05-19\",\"updated_by\":{\"user\":\"IzB5ksXu\",\"time\":\"2023-01-26T20:47:26.389Z\"}},\"transactions\":[{\"txn_date\":\"2021-10-01\",\"amount\":80995.23818711648},{\"txn_date\":\"2021-05-19\",\"amount\":92572.40049217848},{\"txn_date\":\"2021-12-11\",\"amount\":99398.79832225188}]}\n{\"account_id\":\"ACC62505420\",\"year\":2023,\"amount\":96125.3125884202,\"details\":{\"name\":\"Shawn Goodwin\",\"updated_by\":{\"user\":\"F3dqIvYp2pFtena4\",\"time\":\"2023-02-11T04:38:29.832Z\"}},\"transactions\":[]}\n

Let's also check if there is a corresponding record in the CSV file.

$ cat docker/sample/csv/account/part-0000* | grep ACC03093143\nACC03093143,2023,Nadine Heidenreich Jr.,\"{\\\"account_id\\\":\\\"ACC03093143\\\",\\\"year\\\":2023,\\\"amount\\\":87990.37196728592,\\\"details\\\":{\\\"name\\\":\\\"Nadine Heidenreich Jr.\\\",\\\"first_txn_date\\\":\\\"2021-11-09\\\",\\\"updated_by\\\":{\\\"user\\\":\\\"YfEyJCe8ohrl0j IfyT\\\",\\\"time\\\":\\\"2022-09-26T20:47:53.404Z\\\"}},\\\"transactions\\\":[{\\\"txn_date\\\":\\\"2021-11-09\\\",\\\"amount\\\":97073.7914706189}]}\"\n

Great! The account, year, name and payload look to all match up.

"},{"location":"setup/guide/scenario/batch-and-event/#additional-topics","title":"Additional Topics","text":""},{"location":"setup/guide/scenario/batch-and-event/#order-of-execution","title":"Order of execution","text":"

You may notice that the events are generated first, then the CSV file. This is because as part of the execute function, we passed in the kafkaTask first, before the csvTask. You can change the order of execution by passing in csvTask before kafkaTask into the execute function.

"},{"location":"setup/guide/scenario/data-generation/","title":"Data Generation","text":"

Go through the available options for data generation. Creating a data generator for a CSV file.

"},{"location":"setup/guide/scenario/data-generation/#requirements","title":"Requirements","text":"
  • 5 minutes
  • Git
  • Gradle
  • Docker
"},{"location":"setup/guide/scenario/data-generation/#get-started","title":"Get Started","text":"

First, we will clone the data-caterer-example repo which will already have the base project setup required.

JavaScalaYAMLUI
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n

Run Data Caterer UI via the 'Quick Start' found here.

"},{"location":"setup/guide/scenario/data-generation/#plan-setup","title":"Plan Setup","text":"

Create a new Java or Scala class or plan YAML.

  • Java: src/main/java/io/github/datacatering/plan/MyCsvPlan.java
  • Scala: src/main/scala/io/github/datacatering/plan/MyCsvPlan.scala
  • YAML: docker/data/customer/plan/my-csv.yaml

Make sure your class extends PlanRun.

JavaScalaYAMLUI
import io.github.datacatering.datacaterer.java.api.PlanRun;\n\npublic class MyCsvJavaPlan extends PlanRun {\n}\n
import io.github.datacatering.datacaterer.api.PlanRun\n\nclass MyCsvPlan extends PlanRun {\n}\n

In docker/data/custom/plan/my-csv.yaml:

name: \"my_csv_plan\"\ndescription: \"Create account data in CSV file\"\ntasks:\n  - name: \"csv_account_file\"\n    dataSourceName: \"customer_accounts\"\n    enabled: true\n

Go to next section.

This class defines where we need to define all of our configurations for generating data. There are helper variables and methods defined to make it simple and easy to use.

"},{"location":"setup/guide/scenario/data-generation/#connection-configuration","title":"Connection Configuration","text":"

When dealing with CSV files, we need to define a path for our generated CSV files to be saved at, along with any other high level configurations.

JavaScalaYAMLUI
csv(\n  \"customer_accounts\",              //name\n  \"/opt/app/data/customer/account\", //path\n  Map.of(\"header\", \"true\")          //optional additional options\n)\n

Other additional options for CSV can be found here

csv(\n  \"customer_accounts\",              //name\n  \"/opt/app/data/customer/account\", //path\n  Map(\"header\" -> \"true\")           //optional additional options\n)\n

Other additional options for CSV can be found here

In application.conf:

csv {\n  customer_accounts {\n    path = \"/opt/app/data/customer/account\"\n    path = ${?CSV_PATH}\n    header = \"true\"\n  }\n}\n

  1. Go to Connection tab in the top bar
  2. Select data source as CSV
    1. Enter in data source name customer_accounts
    2. Enter path as /tmp/data-caterer/customer/account
"},{"location":"setup/guide/scenario/data-generation/#schema","title":"Schema","text":"

Our CSV file that we generate should adhere to a defined schema where we can also define data types.

Let's define each field along with their corresponding data type. You will notice that the string fields do not have a data type defined. This is because the default data type is StringType.

JavaScalaYAMLUI
var accountTask = csv(\"customer_accounts\", \"/opt/app/data/customer/account\", Map.of(\"header\", \"true\"))\n        .schema(\n                field().name(\"account_id\"),\n                field().name(\"balance\").type(DoubleType.instance()),\n                field().name(\"created_by\"),\n                field().name(\"name\"),\n                field().name(\"open_time\").type(TimestampType.instance()),\n                field().name(\"status\")\n        );\n
val accountTask = csv(\"customer_accounts\", \"/opt/app/data/customer/account\", Map(\"header\" -> \"true\"))\n  .schema(\n    field.name(\"account_id\"),\n    field.name(\"balance\").`type`(DoubleType),\n    field.name(\"created_by\"),\n    field.name(\"name\"),\n    field.name(\"open_time\").`type`(TimestampType),\n    field.name(\"status\")\n  )\n

In docker/data/custom/task/file/csv/csv-account-task.yaml:

name: \"csv_account_file\"\nsteps:\n  - name: \"accounts\"\n    type: \"csv\"\n    options:\n      path: \"/opt/app/custom/csv/transactions\"\n    schema:\n      fields:\n        - name: \"account_id\"\n        - name: \"balance\"\n          type: \"double\"\n        - name: \"created_by\"\n        - name: \"name\"\n        - name: \"open_time\"\n          type: \"timestamp\"\n        - name: \"status\"\n

  1. Go to Home tab in the top bar
  2. Enter my-csv as the Plan name
  3. Under Tasks, enter csv-account-task as Task name and select data source as customer_accounts
  4. Click on Generation and tick the Manual checkbox
  5. Click on + Field
    1. Add field account_id with type string
    2. Add field balance with type double
    3. Add field created_by with type string
    4. Add field name with type string
    5. Add field open_time with type timestamp
    6. Add field status with type string
"},{"location":"setup/guide/scenario/data-generation/#field-metadata","title":"Field Metadata","text":"

We could stop here and generate random data for the accounts table. But wouldn't it be more useful if we produced data that is closer to the structure of the data that would come in production? We can do this by defining various metadata attributes that add guidelines that the data generator will understand when generating data.

"},{"location":"setup/guide/scenario/data-generation/#account_id","title":"account_id","text":"
  • account_id follows a particular pattern that where it starts with ACC and has 8 digits after it. This can be defined via a regex like below. Alongside, we also mention that values are unique ensure that unique values are generated.
JavaScalaYAMLUI
field().name(\"account_id\").regex(\"ACC[0-9]{8}\").unique(true),\n
field.name(\"account_id\").regex(\"ACC[0-9]{8}\").unique(true),\n
fields:\n  - name: \"account_id\"\n    options:\n      regex: \"ACC[0-9]{8}\"\n      unique: true\n
  1. Go to account_id field
  2. Click on + dropdown next to string data type
  3. Click Regex and enter ACC[0-9]{8}
  4. Click Unique and select true
"},{"location":"setup/guide/scenario/data-generation/#balance","title":"balance","text":"
  • balance let's make the numbers not too large, so we can define a min and max for the generated numbers to be between 1 and 1000.
JavaScalaYAMLUI
field().name(\"balance\").type(DoubleType.instance()).min(1).max(1000),\n
field.name(\"balance\").`type`(DoubleType).min(1).max(1000),\n
fields:\n  - name: \"balance\"\n    type: \"double\"\n    options:\n      min: 1\n      max: 1000\n
  1. Go to balance field
  2. Click on + dropdown next to double data type
  3. Click Min and enter 1
  4. Click Max and enter 1000
"},{"location":"setup/guide/scenario/data-generation/#name","title":"name","text":"
  • name is a string that also follows a certain pattern, so we could also define a regex but here we will choose to leverage the DataFaker library and create an expression to generate real looking name. All possible faker expressions can be found here
JavaScalaYAMLUI
field().name(\"name\").expression(\"#{Name.name}\"),\n
field.name(\"name\").expression(\"#{Name.name}\"),\n
fields:\n  - name: \"name\"\n    options:\n      expression: \"#{Name.name}\"\n
  1. Go to name field
  2. Click on + dropdown next to string data type
  3. Click Faker Expression and enter #{Name.name}
"},{"location":"setup/guide/scenario/data-generation/#open_time","title":"open_time","text":"
  • open_time is a timestamp that we want to have a value greater than a specific date. We can define a min date by using java.sql.Date like below.
JavaScalaYAMLUI
field().name(\"open_time\").type(TimestampType.instance()).min(java.sql.Date.valueOf(\"2022-01-01\")),\n
field.name(\"open_time\").`type`(TimestampType).min(java.sql.Date.valueOf(\"2022-01-01\")),\n
fields:\n  - name: \"open_time\"\n    type: \"timestamp\"\n    options:\n      min: \"2022-01-01\"\n
  1. Go to open_time field
  2. Click on + dropdown next to timestamp data type
  3. Click Min and enter 2022-01-01
"},{"location":"setup/guide/scenario/data-generation/#status","title":"status","text":"
  • status is a field that can only obtain one of four values, open, closed, suspended or pending.
JavaScalaYAMLUI
field().name(\"status\").oneOf(\"open\", \"closed\", \"suspended\", \"pending\")\n
field.name(\"status\").oneOf(\"open\", \"closed\", \"suspended\", \"pending\")\n
fields:\n  - name: \"status\"\n    options:\n      oneOf:\n        - \"open\"\n        - \"closed\"\n        - \"suspended\"\n        - \"pending\"\n
  1. Go to status field
  2. Click on + dropdown next to string data type
  3. Click One Of and enter open,closed,suspended,pending
"},{"location":"setup/guide/scenario/data-generation/#created_by","title":"created_by","text":"
  • created_by is a field that is based on the status field where it follows the logic: if status is open or closed, then it is created_by eod else created_by event. This can be achieved by defining a SQL expression like below.
JavaScalaYAMLUI
field().name(\"created_by\").sql(\"CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END\"),\n
field.name(\"created_by\").sql(\"CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END\"),\n
fields:\n  - name: \"created_by\"\n    options:\n      sql: \"CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END\"\n
  1. Go to created_by field
  2. Click on + dropdown next to string data type
  3. Click SQL and enter CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END

Putting it all the fields together, our structure should now look like this.

JavaScalaYAMLUI
var accountTask = csv(\"customer_accounts\", \"/opt/app/data/customer/account\", Map.of(\"header\", \"true\"))\n        .schema(\n                field().name(\"account_id\").regex(\"ACC[0-9]{8}\").unique(true),\n                field().name(\"balance\").type(DoubleType.instance()).min(1).max(1000),\n                field().name(\"created_by\").sql(\"CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END\"),\n                field().name(\"name\").expression(\"#{Name.name}\"),\n                field().name(\"open_time\").type(TimestampType.instance()).min(java.sql.Date.valueOf(\"2022-01-01\")),\n                field().name(\"status\").oneOf(\"open\", \"closed\", \"suspended\", \"pending\")\n        );\n
val accountTask = csv(\"customer_accounts\", \"/opt/app/data/customer/account\", Map(\"header\" -> \"true\"))\n  .schema(\n    field.name(\"account_id\").regex(\"ACC[0-9]{8}\").unique(true),\n    field.name(\"balance\").`type`(DoubleType).min(1).max(1000),\n    field.name(\"created_by\").sql(\"CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END\"),\n    field.name(\"name\").expression(\"#{Name.name}\"),\n    field.name(\"open_time\").`type`(TimestampType).min(java.sql.Date.valueOf(\"2022-01-01\")),\n    field.name(\"status\").oneOf(\"open\", \"closed\", \"suspended\", \"pending\")\n  )\n

In docker/data/custom/task/file/csv/csv-account-task.yaml:

name: \"csv_account_file\"\nsteps:\n  - name: \"accounts\"\n    type: \"csv\"\n    options:\n      path: \"/opt/app/custom/csv/account\"\n    count:\n      records: 100\n    schema:\n      fields:\n        - name: \"account_id\"\n          generator:\n            type: \"regex\"\n            options:\n              regex: \"ACC1[0-9]{9}\"\n              unique: true\n        - name: \"balance\"\n          type: \"double\"\n          options:\n            min: 1\n            max: 1000\n        - name: \"created_by\"\n          options:\n            sql: \"CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END\"\n        - name: \"name\"\n          options:\n            expression: \"#{Name.name}\"\n        - name: \"open_time\"\n          type: \"timestamp\"\n          options:\n            min: \"2022-01-01\"\n        - name: \"status\"\n          options:\n            oneOf:\n              - \"open\"\n              - \"closed\"\n              - \"suspended\"\n              - \"pending\"\n

Open Task and Generation to see all the fields.

"},{"location":"setup/guide/scenario/data-generation/#record-count","title":"Record Count","text":"

We only want to generate 100 records, so that we can see what the output looks like. This is controlled at the accountTask level like below. If you want to generate more records, set it to the value you want.

JavaScalaYAMLUI
var accountTask = csv(\"customer_accounts\", \"/opt/app/data/customer/account\", Map.of(\"header\", \"true\"))\n        .schema(\n                ...\n        )\n        .count(count().records(100));\n
val accountTask = csv(\"customer_accounts\", \"/opt/app/data/customer/account\", Map(\"header\" -> \"true\"))\n  .schema(\n    ...\n  )\n  .count(count.records(100))\n

In docker/data/custom/task/file/csv/csv-account-task.yaml:

name: \"csv_account_file\"\nsteps:\n  - name: \"accounts\"\n    type: \"csv\"\n    options:\n      path: \"/opt/app/custom/csv/transactions\"\n    count:\n      records: 100\n    schema:\n      fields:\n        ...\n

  1. Under task customer_accounts, click on Generation
  2. Under title Record Count, set Records to 100
"},{"location":"setup/guide/scenario/data-generation/#additional-configurations","title":"Additional Configurations","text":"

At the end of data generation, a report gets generated that summarises the actions it performed. We can control the output folder of that report via configurations. We will also enable the unique check to ensure any unique fields will have unique values generated.

JavaScalaYAMLUI
var config = configuration()\n        .generatedReportsFolderPath(\"/opt/app/data/report\")\n        .enableUniqueCheck(true);\n
val config = configuration\n  .generatedReportsFolderPath(\"/opt/app/data/report\")\n  .enableUniqueCheck(true)\n

In application.conf:

flags {\n  enableUniqueCheck = true\n}\nfolders {\n  generatedReportsFolderPath = \"/opt/app/data/report\"\n}\n

  1. Click on Advanced Configuration towards the bottom of the screen
  2. Click on Flag and click on Unique Check
  3. Click on Folder and enter /tmp/data-caterer/report for Generated Reports Folder Path
"},{"location":"setup/guide/scenario/data-generation/#execute","title":"Execute","text":"

To tell Data Caterer that we want to run with the configurations along with the accountTask, we have to call execute . So our full plan run will look like this.

JavaScalaYAMLUI
public class MyCsvJavaPlan extends PlanRun {\n    {\n        var accountTask = csv(\"customer_accounts\", \"/opt/app/data/customer/account\", Map.of(\"header\", \"true\"))\n                .schema(\n                        field().name(\"account_id\").regex(\"ACC[0-9]{8}\").unique(true),\n                        field().name(\"balance\").type(DoubleType.instance()).min(1).max(1000),\n                        field().name(\"created_by\").sql(\"CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END\"),\n                        field().name(\"name\").expression(\"#{Name.name}\"),\n                        field().name(\"open_time\").type(TimestampType.instance()).min(java.sql.Date.valueOf(\"2022-01-01\")),\n                        field().name(\"status\").oneOf(\"open\", \"closed\", \"suspended\", \"pending\")\n                );\n\n        var config = configuration()\n                .generatedReportsFolderPath(\"/opt/app/data/report\")\n                .enableUniqueCheck(true);\n\n        execute(config, accountTask);\n    }\n}\n
class MyCsvPlan extends PlanRun {\n\n  val accountTask = csv(\"customer_accounts\", \"/opt/app/data/customer/account\", Map(\"header\" -> \"true\"))\n    .schema(\n      field.name(\"account_id\").regex(\"ACC[0-9]{8}\").unique(true),\n      field.name(\"balance\").`type`(DoubleType).min(1).max(1000),\n      field.name(\"created_by\").sql(\"CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END\"),\n      field.name(\"name\").expression(\"#{Name.name}\"),\n      field.name(\"open_time\").`type`(TimestampType).min(java.sql.Date.valueOf(\"2022-01-01\")),\n      field.name(\"status\").oneOf(\"open\", \"closed\", \"suspended\", \"pending\")\n    )\n    val config = configuration\n      .generatedReportsFolderPath(\"/opt/app/data/report\")\n      .enableUniqueCheck(true)\n\n    execute(config, accountTask)\n}\n

Plan and task file should be ready.

  1. Click Save at the top
"},{"location":"setup/guide/scenario/data-generation/#run","title":"Run","text":"

Now we can run via the script ./run.sh that is in the top level directory of the data-caterer-example to run the class we just created.

JavaScalaYAMLUI
./run.sh MyCsvJavaPlan\nhead docker/sample/customer/account/part-00000*\n
./run.sh MyCsvPlan\nhead docker/sample/customer/account/part-00000*\n
./run.sh my-csv.yaml\nhead docker/sample/customer/account/part-00000*\n
  1. Click on Execute at the top
    head /tmp/data-caterer/customer/account/part-00000*\n

Your output should look like this.

account_id,balance,created_by,name,open_time,status\nACC06192462,853.9843359645766,eod,Hoyt Kertzmann MD,2023-07-22T11:17:01.713Z,closed\nACC15350419,632.5969895326234,eod,Dr. Claude White,2022-12-13T21:57:56.840Z,open\nACC25134369,592.0958847218986,eod,Fabian Rolfson,2023-04-26T04:54:41.068Z,open\nACC48021786,656.6413439322964,eod,Dewayne Stroman,2023-05-17T06:31:27.603Z,open\nACC26705211,447.2850352884595,event,Garrett Funk,2023-07-14T03:50:22.746Z,pending\nACC03150585,750.4568929015996,event,Natisha Reichel,2023-04-11T11:13:10.080Z,suspended\nACC29834210,686.4257811608622,event,Gisele Ondricka,2022-11-15T22:09:41.172Z,suspended\nACC39373863,583.5110618128994,event,Thaddeus Ortiz,2022-09-30T06:33:57.193Z,suspended\nACC39405798,989.2623959059525,eod,Shelby Reinger,2022-10-23T17:29:17.564Z,open\n

Also check the HTML report, found at docker/sample/report/index.html, that gets generated to get an overview of what was executed.

"},{"location":"setup/guide/scenario/data-generation/#join-with-another-csv","title":"Join With Another CSV","text":"

Now that we have generated some accounts, let's also try to generate a set of transactions for those accounts in CSV format as well. The transactions could be in any other format, but to keep this simple, we will continue using CSV.

We can define our schema the same way along with any additional metadata.

JavaScalaYAMLUI
var transactionTask = csv(\"customer_transactions\", \"/opt/app/data/customer/transaction\", Map.of(\"header\", \"true\"))\n        .schema(\n                field().name(\"account_id\"),\n                field().name(\"name\"),\n                field().name(\"amount\").type(DoubleType.instance()).min(1).max(100),\n                field().name(\"time\").type(TimestampType.instance()).min(java.sql.Date.valueOf(\"2022-01-01\")),\n                field().name(\"date\").type(DateType.instance()).sql(\"DATE(time)\")\n        );\n
val transactionTask = csv(\"customer_transactions\", \"/opt/app/data/customer/transaction\", Map(\"header\" -> \"true\"))\n  .schema(\n    field.name(\"account_id\"),\n    field.name(\"full_name\"),\n    field.name(\"amount\").`type`(DoubleType).min(1).max(100),\n    field.name(\"time\").`type`(TimestampType).min(java.sql.Date.valueOf(\"2022-01-01\")),\n    field.name(\"date\").`type`(DateType).sql(\"DATE(time)\")\n  )\n

In docker/data/custom/task/file/csv/csv-account-task.yaml:

name: \"csv_account_file\"\nsteps:\n  - name: \"accounts\"\n    type: \"csv\"\n    options:\n      path: \"/opt/app/custom/csv/account\"\n    ...\n  - name: \"transactions\"\n    type: \"csv\"\n    options:\n      path: \"/opt/app/custom/csv/transactions\"\n    schema:\n      fields:\n        - name: \"account_id\"\n        - name: \"full_name\"\n        - name: \"amount\"\n          type: \"double\"\n          options:\n            min: 1\n            max: 100\n        - name: \"time\"\n          type: \"timestamp\"\n          options:\n            min: \"2022-01-01\"\n        - name: \"date\"\n          type: \"date\"\n          options:\n            sql: \"DATE(time)\"\n

  1. Go to Connection tab and add new CSV data source with path /tmp/data-caterer/customer/transactions
  2. Go to Plan tab and click on Edit for my-csv
  3. Click on + Task towards the top
  4. Under the new task, enter csv-transaction-task as Task name and select data source as customer_accounts
  5. Click on Generation and tick the Manual checkbox
  6. Click on + Field
    1. Add field account_id with type string
    2. Add field balance with type double
    3. Add field created_by with type string
    4. Add field name with type string
    5. Add field open_time with type timestamp
    6. Add field status with type string
"},{"location":"setup/guide/scenario/data-generation/#records-per-column","title":"Records Per Column","text":"

Usually, for a given account_id, full_name, there should be multiple records for it as we want to simulate a customer having multiple transactions. We can achieve this through defining the number of records to generate in the count function.

JavaScalaYAMLUI
var transactionTask = csv(\"customer_transactions\", \"/opt/app/data/customer/transaction\", Map.of(\"header\", \"true\"))\n        .schema(...)\n        .count(count().recordsPerColumn(5, \"account_id\", \"full_name\"));\n
val transactionTask = csv(\"customer_transactions\", \"/opt/app/data/customer/transaction\", Map(\"header\" -> \"true\"))\n  .schema(...)\n  .count(count.recordsPerColumn(5, \"account_id\", \"full_name\"))\n

In docker/data/custom/task/file/csv/csv-account-task.yaml:

name: \"csv_account_file\"\nsteps:\n  - name: \"accounts\"\n    ...\n  - name: \"transactions\"\n    type: \"csv\"\n    options:\n      path: \"/opt/app/custom/csv/transactions\"\n    count:\n      records: 100\n      perColumn:\n        columnNames:\n          - \"account_id\"\n          - \"name\"\n        count: 5\n

  1. Under title Record count, click on Advanced
  2. Enter account_id,name in Column(s)
  3. Click on Per unique set of values checkbox
  4. Set Records to 5
"},{"location":"setup/guide/scenario/data-generation/#random-records-per-column","title":"Random Records Per Column","text":"

Above, you will notice that we are generating 5 records per account_id, full_name. This is okay but still not quite reflective of the real world. Sometimes, people have accounts with no transactions in them, or they could have many. We can accommodate for this via defining a random number of records per column.

JavaScalaYAMLUI
var transactionTask = csv(\"customer_transactions\", \"/opt/app/data/customer/transaction\", Map.of(\"header\", \"true\"))\n        .schema(\n                ...\n        )\n        .count(count().recordsPerColumnGenerator(generator().min(0).max(5), \"account_id\", \"full_name\"));\n
val transactionTask = csv(\"customer_transactions\", \"/opt/app/data/customer/transaction\", Map(\"header\" -> \"true\"))\n  .schema(\n    ...\n  )\n  .count(count.recordsPerColumnGenerator(generator.min(0).max(5), \"account_id\", \"full_name\"))\n

In docker/data/custom/task/file/csv/csv-account-task.yaml:

name: \"csv_account_file\"\nsteps:\n  - name: \"accounts\"\n    ...\n  - name: \"transactions\"\n    type: \"csv\"\n    options:\n      path: \"/opt/app/custom/csv/transactions\"\n    count:\n      records: 100\n      perColumn:\n        columnNames:\n          - \"account_id\"\n          - \"name\"\n        generator:\n          type: \"random\"\n          options:\n            min: 0\n            max: 5\n

  1. Under title Record count, click on Advanced
  2. Enter account_id,name in Column(s)
  3. Click on Per unique set of values between checkbox
  4. Set Min to 0 and Max to5`

Here we set the minimum number of records per column to be 0 and the maximum to 5.

"},{"location":"setup/guide/scenario/data-generation/#foreign-key","title":"Foreign Key","text":"

In this scenario, we want to match the account_id in account to match the same column values in transaction. We also want to match name in account to full_name in transaction. This can be done via plan configuration like below.

JavaScalaYAMLUI
var myPlan = plan().addForeignKeyRelationship(\n        accountTask, List.of(\"account_id\", \"name\"), //the task and columns we want linked\n        List.of(Map.entry(transactionTask, List.of(\"account_id\", \"full_name\"))) //list of other tasks and their respective column names we want matched\n);\n
val myPlan = plan.addForeignKeyRelationship(\n  accountTask, List(\"account_id\", \"name\"),  //the task and columns we want linked\n  List(transactionTask -> List(\"account_id\", \"full_name\"))  //list of other tasks and their respective column names we want matched\n)\n

In docker/data/custom/plan/my-csv.yaml: ```yaml name: \"my_csv_plan\" description: \"Create account data in CSV file\" tasks: - name: \"csv_account_file\" dataSourceName: \"customer_accounts\" enabled: true

sinkOptions: foreignKeys: - - \"customer_accounts.accounts.account_id,name\" - - \"customer_accounts.transactions.account_id,full_name\" - [] ```

  1. Click Relationships and then click + Relationship
  2. Select csv-account-task and enter account_id,name in Column(s)
  3. Open Generation and click + Link
  4. Select csv-transaction-task and enter account_id,full_name in Column(s)

Now, stitching it all together for the execute function, our final plan should look like this.

JavaScalaYAMLUI
public class MyCsvJavaPlan extends PlanRun {\n    {\n        var accountTask = csv(\"customer_accounts\", \"/opt/app/data/customer/account\", Map.of(\"header\", \"true\"))\n                .schema(\n                        field().name(\"account_id\").regex(\"ACC[0-9]{8}\").unique(true),\n                        field().name(\"balance\").type(DoubleType.instance()).min(1).max(1000),\n                        field().name(\"created_by\").sql(\"CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END\"),\n                        field().name(\"name\").expression(\"#{Name.name}\"),\n                        field().name(\"open_time\").type(TimestampType.instance()).min(java.sql.Date.valueOf(\"2022-01-01\")),\n                        field().name(\"status\").oneOf(\"open\", \"closed\", \"suspended\", \"pending\")\n                )\n                .count(count().records(100));\n\n        var transactionTask = csv(\"customer_transactions\", \"/opt/app/data/customer/transaction\", Map.of(\"header\", \"true\"))\n                .schema(\n                        field().name(\"account_id\"),\n                        field().name(\"name\"),\n                        field().name(\"amount\").type(DoubleType.instance()).min(1).max(100),\n                        field().name(\"time\").type(TimestampType.instance()).min(java.sql.Date.valueOf(\"2022-01-01\")),\n                        field().name(\"date\").type(DateType.instance()).sql(\"DATE(time)\")\n                )\n                .count(count().recordsPerColumnGenerator(generator().min(0).max(5), \"account_id\", \"full_name\"));\n\n        var config = configuration()\n                .generatedReportsFolderPath(\"/opt/app/data/report\")\n                .enableUniqueCheck(true);\n\n        var myPlan = plan().addForeignKeyRelationship(\n                accountTask, List.of(\"account_id\", \"name\"),\n                List.of(Map.entry(transactionTask, List.of(\"account_id\", \"full_name\")))\n        );\n\n        execute(myPlan, config, accountTask, transactionTask);\n    }\n}\n
class MyCsvPlan extends PlanRun {\n\n  val accountTask = csv(\"customer_accounts\", \"/opt/app/data/customer/account\", Map(\"header\" -> \"true\"))\n    .schema(\n      field.name(\"account_id\").regex(\"ACC[0-9]{8}\").unique(true),\n      field.name(\"balance\").`type`(DoubleType).min(1).max(1000),\n      field.name(\"created_by\").sql(\"CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END\"),\n      field.name(\"name\").expression(\"#{Name.name}\"),\n      field.name(\"open_time\").`type`(TimestampType).min(java.sql.Date.valueOf(\"2022-01-01\")),\n      field.name(\"status\").oneOf(\"open\", \"closed\", \"suspended\", \"pending\")\n    )\n    .count(count.records(100))\n\n  val transactionTask = csv(\"customer_transactions\", \"/opt/app/data/customer/transaction\", Map(\"header\" -> \"true\"))\n    .schema(\n      field.name(\"account_id\"),\n      field.name(\"name\"),\n      field.name(\"amount\").`type`(DoubleType).min(1).max(100),\n      field.name(\"time\").`type`(TimestampType).min(java.sql.Date.valueOf(\"2022-01-01\")),\n      field.name(\"date\").`type`(DateType).sql(\"DATE(time)\")\n    )\n    .count(count.recordsPerColumnGenerator(generator.min(0).max(5), \"account_id\", \"full_name\"))\n\n  val config = configuration\n    .generatedReportsFolderPath(\"/opt/app/data/report\")\n    .enableUniqueCheck(true)\n\n  val myPlan = plan.addForeignKeyRelationship(\n    accountTask, List(\"account_id\", \"name\"),\n    List(transactionTask -> List(\"account_id\", \"full_name\"))\n  )\n\n  execute(myPlan, config, accountTask, transactionTask)\n}\n

Check content of docker/data/custom/plan/my-csv.yaml and docker/data/custom/task/file/csv/csv-account-task.yaml.

Open UI dropdowns to see all details.

Let's clean up the old data and try run again.

#clean up old data\nrm -rf docker/sample/customer/account\n
JavaScalaYAMLUI
./run.sh MyCsvJavaPlan\naccount=$(tail -1 docker/sample/customer/account/part-00000* | awk -F \",\" '{print $1 \",\" $4}')\necho $account\ncat docker/sample/customer/transaction/part-00000* | grep $account\n
./run.sh MyCsvPlan\naccount=$(tail -1 docker/sample/customer/account/part-00000* | awk -F \",\" '{print $1 \",\" $4}')\necho $account\ncat docker/sample/customer/transaction/part-00000* | grep $account\n
./run.sh my-csv.yaml\naccount=$(tail -1 docker/sample/customer/account/part-00000* | awk -F \",\" '{print $1 \",\" $4}')\necho $account\ncat docker/sample/customer/transaction/part-00000* | grep $account\n
  1. Click on Execute at the top
    account=$(tail -1 /tmp/data-caterer/customer/account/part-00000* | awk -F \",\" '{print $1 \",\" $4}')\necho $account\ncat /tmp/data-caterer/customer/transaction/part-00000* | grep $account\n

It should look something like this.

ACC29117767,Willodean Sauer\nACC29117767,Willodean Sauer,84.99145871948083,2023-05-14T09:55:51.439Z,2023-05-14\nACC29117767,Willodean Sauer,58.89345733567232,2022-11-22T07:38:20.143Z,2022-11-22\n

Congratulations! You have now made a data generator that has simulated a real world data scenario. You can check the DocumentationJavaPlanRun.java or DocumentationPlanRun.scala files as well to check that your plan is the same.

"},{"location":"setup/guide/scenario/data-validation/","title":"Data Validations","text":"

Creating a data validator for a JSON file.

"},{"location":"setup/guide/scenario/data-validation/#requirements","title":"Requirements","text":"
  • 5 minutes
  • Git
  • Gradle
  • Docker
"},{"location":"setup/guide/scenario/data-validation/#get-started","title":"Get Started","text":"

First, we will clone the data-caterer-example repo which will already have the base project setup required.

JavaScalaYAMLUI
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n

Run Data Caterer UI via the 'Quick Start' found here.

"},{"location":"setup/guide/scenario/data-validation/#data-setup","title":"Data Setup","text":"

To aid in showing the functionality of data validations, we will first generate some data that our validations will run against. Run the below command and it will generate JSON files under docker/sample/json folder.

./run.sh JsonPlan\n
"},{"location":"setup/guide/scenario/data-validation/#plan-setup","title":"Plan Setup","text":"

Create a new Java or Scala class.

  • Java: src/main/java/io/github/datacatering/plan/MyValidationJavaPlan.java
  • Scala: src/main/scala/io/github/datacatering/plan/MyValidationPlan.scala

Make sure your class extends PlanRun.

JavaScala
import io.github.datacatering.datacaterer.java.api.PlanRun;\n...\n\npublic class MyValidationJavaPlan extends PlanRun {\n    {\n        var jsonTask = json(\"my_json\", \"/opt/app/data/json\");\n\n        var config = configuration()\n                .generatedReportsFolderPath(\"/opt/app/data/report\")\n                .enableValidation(true)\n                .enableGenerateData(false);\n\n        execute(config, jsonTask);\n    }\n}\n
import io.github.datacatering.datacaterer.api.PlanRun\n...\n\nclass MyValidationPlan extends PlanRun {\n  val jsonTask = json(\"my_json\", \"/opt/app/data/json\")\n\n  val config = configuration\n    .generatedReportsFolderPath(\"/opt/app/data/report\")\n    .enableValidation(true)\n    .enableGenerateData(false)\n\n  execute(config, jsonTask)\n}\n

As noted above, we create a JSON task that points to where the JSON data has been created at folder /opt/app/data/json . We also note that enableValidation is set to true and enableGenerateData to false to tell Data Catering, we only want to validate data.

"},{"location":"setup/guide/scenario/data-validation/#validations","title":"Validations","text":"

For reference, the schema in which we will be validating against looks like the below.

.schema(\n  field.name(\"account_id\"),\n  field.name(\"year\").`type`(IntegerType),\n  field.name(\"balance\").`type`(DoubleType),\n  field.name(\"date\").`type`(DateType),\n  field.name(\"status\"),\n  field.name(\"update_history\").`type`(ArrayType)\n    .schema(\n      field.name(\"updated_time\").`type`(TimestampType),\n      field.name(\"status\").oneOf(\"open\", \"closed\", \"pending\", \"suspended\"),\n    ),\n  field.name(\"customer_details\")\n    .schema(\n      field.name(\"name\").expression(\"#{Name.name}\"),\n      field.name(\"age\").`type`(IntegerType),\n      field.name(\"city\").expression(\"#{Address.city}\")\n    )\n)\n
"},{"location":"setup/guide/scenario/data-validation/#basic-validation","title":"Basic Validation","text":"

Let's say our goal is to validate the customer_details.name field to ensure it conforms to the regex pattern [A-Z][a-z]+ [A-Z][a-z]+. Given the diversity in naming conventions across cultures and countries, variations such as middle names, suffixes, prefixes, or language-specific differences are tolerated to a certain extent. The validation considers an acceptable error threshold before marking it as failed.

"},{"location":"setup/guide/scenario/data-validation/#validation-criteria","title":"Validation Criteria","text":"
  • Field to Validate: customer_details.name
  • Regex Pattern: [A-Z][a-z]+ [A-Z][a-z]+
  • Error Tolerance: If more than 10% do not match the regex, then fail.
"},{"location":"setup/guide/scenario/data-validation/#considerations","title":"Considerations","text":"
  • Customisation
    • Adjust the regex pattern and error threshold based on your specific data schema and validation requirements.
    • For the full list of types of basic validations that can be used, check this page.
  • Understanding Tolerance
    • Be mindful of the error threshold, as it directly influences what percentage of deviations from the pattern is acceptable.
JavaScala
validation().col(\"customer_details.name\")\n    .matches(\"[A-Z][a-z]+ [A-Z][a-z]+\")\n    .errorThreshold(0.1)                                      //<=10% failure rate is acceptable\n    .description(\"Names generally follow the same pattern\"),  //description to add context in report or other developers\n
validation.col(\"customer_details.name\")\n  .matches(\"[A-Z][a-z]+ [A-Z][a-z]+\")\n  .errorThreshold(0.1)                                      //<=10% failure rate is acceptable\n  .description(\"Names generally follow the same pattern\"),  //description to add context in report or other developers\n
"},{"location":"setup/guide/scenario/data-validation/#custom-validation","title":"Custom Validation","text":"

There will be situation where you have a complex data setup and require you own custom logic to use for data validation. You can achieve this via setting your own SQL expression that returns a boolean value. An example is seen below where we want to check the array update_history, that each entry has updated_time greater than a certain timestamp.

JavaScala
validation().expr(\"FORALL(update_history, x -> x.updated_time > TIMESTAMP('2022-01-01 00:00:00'))\"),\n
validation.expr(\"FORALL(update_history, x -> x.updated_time > TIMESTAMP('2022-01-01 00:00:00'))\"),\n

If you want to know what other SQL function are available for you to use, check this page.

"},{"location":"setup/guide/scenario/data-validation/#group-by-validation","title":"Group By Validation","text":"

There are scenarios where you want to validate against grouped values or the whole dataset via aggregations. An example would be validating that each customer's transactions sum is greater than 0.

"},{"location":"setup/guide/scenario/data-validation/#validation-criteria_1","title":"Validation Criteria","text":"

Line 1: validation.groupBy().count().isEqual(100)

  • Method Chaining
    • groupBy(): Group by whole dataset.
    • count(): Counts the number of dataset elements.
    • isEqual(100): Checks if the count is equal to 100.
  • Validation Rule
    • This line ensures that the count of the total dataset is exactly 100.

Line 2: validation.groupBy(\"account_id\").max(\"balance\").lessThan(900)

  • Method Chaining
    • groupBy(\"account_id\"): Groups the data based on the account_id field.
    • max(\"balance\"): Calculates the maximum value of the balance field within each group.
    • lessThan(900): Checks if the maximum balance in each group is less than 900.
  • Validation Rule
    • This line ensures that, for each group identified by account_id the maximum balance is less than 900.
"},{"location":"setup/guide/scenario/data-validation/#considerations_1","title":"Considerations","text":"
  • Adjust the errorThreshold or validation to your specification scenario. The full list of types of validations can be found here.
  • For the full list of types of group by validations that can be used, check this page.
JavaScala
validation().groupBy().count().isEqual(100),\nvalidation().groupBy(\"account_id\").max(\"balance\").lessThan(900)\n
validation.groupBy().count().isEqual(100),\nvalidation.groupBy(\"account_id\").max(\"balance\").lessThan(900)\n
"},{"location":"setup/guide/scenario/data-validation/#sample-validation","title":"Sample Validation","text":"

To try cover the majority of validation cases, the below has been created.

JavaScala
var jsonTask = json(\"my_json\", \"/opt/app/data/json\")\n        .validations(\n                validation().col(\"customer_details.name\").matches(\"[A-Z][a-z]+ [A-Z][a-z]+\").errorThreshold(0.1).description(\"Names generally follow the same pattern\"),\n                validation().col(\"date\").isNotNull().errorThreshold(10),\n                validation().col(\"balance\").greaterThan(500),\n                validation().expr(\"YEAR(date) == year\"),\n                validation().col(\"status\").in(\"open\", \"closed\", \"pending\").errorThreshold(0.2).description(\"Could be new status introduced\"),\n                validation().col(\"customer_details.age\").greaterThan(18),\n                validation().expr(\"FORALL(update_history, x -> x.updated_time > TIMESTAMP('2022-01-01 00:00:00'))\"),\n                validation().col(\"update_history\").greaterThanSize(2),\n                validation().unique(\"account_id\"),\n                validation().groupBy().count().isEqual(1000),\n                validation().groupBy(\"account_id\").max(\"balance\").lessThan(900)\n        );\n\nvar config = configuration()\n        .generatedReportsFolderPath(\"/opt/app/data/report\")\n        .enableValidation(true)\n        .enableGenerateData(false);\n\nexecute(config, jsonTask);\n
val jsonTask = json(\"my_json\", \"/opt/app/data/json\")\n  .validations(\n    validation.col(\"customer_details.name\").matches(\"[A-Z][a-z]+ [A-Z][a-z]+\").errorThreshold(0.1).description(\"Names generally follow the same pattern\"),\n    validation.col(\"date\").isNotNull.errorThreshold(10),\n    validation.col(\"balance\").greaterThan(500),\n    validation.expr(\"YEAR(date) == year\"),\n    validation.col(\"status\").in(\"open\", \"closed\", \"pending\").errorThreshold(0.2).description(\"Could be new status introduced\"),\n    validation.col(\"customer_details.age\").greaterThan(18),\n    validation.expr(\"FORALL(update_history, x -> x.updated_time > TIMESTAMP('2022-01-01 00:00:00'))\"),\n    validation.col(\"update_history\").greaterThanSize(2),\n    validation.unique(\"account_id\"),\n    validation.groupBy().count().isEqual(1000),\n    validation.groupBy(\"account_id\").max(\"balance\").lessThan(900)\n  )\n\nval config = configuration\n  .generatedReportsFolderPath(\"/opt/app/data/report\")\n  .enableValidation(true)\n  .enableGenerateData(false)\n\nexecute(config, jsonTask)\n
"},{"location":"setup/guide/scenario/data-validation/#run","title":"Run","text":"

Let's try run.

./run.sh\n#input class MyValidationJavaPlan or MyValidationPlan\n#after completing, check report at docker/sample/report/index.html\n

It should look something like this.

Check the full example at ValidationPlanRun inside the examples repo.

"},{"location":"setup/guide/scenario/delete-generated-data/","title":"Delete Generated Data","text":"

Info

Delete generated data is a paid feature.

Creating a data generator for Postgres and delete the generated data after using it.

"},{"location":"setup/guide/scenario/delete-generated-data/#requirements","title":"Requirements","text":"
  • 5 minutes
  • Git
  • Gradle
  • Docker
"},{"location":"setup/guide/scenario/delete-generated-data/#get-started","title":"Get Started","text":"

First, we will clone the data-caterer-example repo which will already have the base project setup required.

JavaScalaYAMLUI
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n

Run Data Caterer UI via the 'Quick Start' found here.

"},{"location":"setup/guide/scenario/delete-generated-data/#plan-setup","title":"Plan Setup","text":"

Create a new Java or Scala class.

  • Java: src/main/java/io/github/datacatering/plan/MyAdvancedDeleteJavaPlanRun.java
  • Scala: src/main/scala/io/github/datacatering/plan/MyAdvancedDeletePlanRun.scala

Make sure your class extends PlanRun.

JavaScala
import io.github.datacatering.datacaterer.java.api.PlanRun;\n...\n\npublic class MyAdvancedDeleteJavaPlanRun extends PlanRun {\n    {\n        var autoRun = configuration()\n                .postgres(\"my_postgres\", \"jdbc:postgresql://host.docker.internal:5432/customer\")  (1)\n                .enableGeneratePlanAndTasks(true)                                                 (2)\n                .enableRecordTracking(true)                                                       (3)\n                .enableDeleteGeneratedRecords(false)                                              (4)\n                .enableUniqueCheck(true)\n                .generatedPlanAndTaskFolderPath(\"/opt/app/data/generated\")                        (5)\n                .recordTrackingFolderPath(\"/opt/app/data/recordTracking\")                         (6)\n                .generatedReportsFolderPath(\"/opt/app/data/report\");\n\n        execute(autoRun);\n   }\n}\n
import io.github.datacatering.datacaterer.api.PlanRun\n...\n\nclass MyAdvancedDeletePlanRun extends PlanRun {\n\n  val autoRun = configuration\n    .postgres(\"my_postgres\", \"jdbc:postgresql://host.docker.internal:5432/customer\")  (1)\n    .enableGeneratePlanAndTasks(true)                                                 (2)\n    .enableRecordTracking(true)                                                       (3)\n    .enableDeleteGeneratedRecords(false)                                              (4)\n    .enableUniqueCheck(true)\n    .generatedPlanAndTaskFolderPath(\"/opt/app/data/generated\")                        (5)\n    .recordTrackingFolderPath(\"/opt/app/data/recordTracking\")                         (6)\n    .generatedReportsFolderPath(\"/opt/app/data/report\")\n\n  execute(configuration = autoRun)\n}\n

In the above code we note the following:

  1. We have defined a Postgres connection called my_postgres
  2. enableGeneratePlanAndTasks is enabled to auto generate data for all tables under customer database
  3. enableRecordTracking is enabled to ensure that all generated records are tracked. This will get used when we want to delete data afterwards
  4. enableDeleteGeneratedRecords is disabled for now. We want to see the generated data first and delete sometime after
  5. generatedPlanAndTaskFolderPath is the folder path where we saved the metadata we have gathered from my_postgres
  6. recordTrackingFolderPath is the folder path where record tracking is maintained. We need to persist this data to ensure it is still available when we want to delete data
"},{"location":"setup/guide/scenario/delete-generated-data/#postgres-setup","title":"Postgres Setup","text":"

If you don't have your own Postgres up and running, you can set up and run an instance configured in the docker folder via.

cd docker\ndocker-compose up -d postgres\ndocker exec docker-postgresserver-1 psql -Upostgres -d customer -c '\\dt+ account.*'\n

This will create the tables found under docker/data/sql/postgres/customer.sql. You can change this file to contain your own tables. We can see there are 4 tables created for us, accounts, balances, transactions and mapping.

"},{"location":"setup/guide/scenario/delete-generated-data/#run","title":"Run","text":"

Let's try run.

cd ..\n./run.sh\n#input class MyAdvancedDeleteJavaPlanRun or MyAdvancedDeletePlanRun\n#after completing\ndocker exec docker-postgresserver-1 psql -Upostgres -d customer -c 'select * from account.accounts limit 1'\n

It should look something like this.

   id   | account_number  | account_status | created_by | created_by_fixed_length | customer_id_int | customer_id_smallint | customer_id_bigint |   customer_id_decimal    | customer_id_real | customer_id_double | open_date  |     open_timestamp      | last_opened_time |                                                           payload_bytes\n--------+-----------------+----------------+------------+-------------------------+-----------------+----------------------+--------------------+--------------------------+------------------+--------------------+------------+-------------------------+------------------+------------------------------------------------------------------------------------------------------------------------------------\n 100414 | 5uROOVOUyQUbubN | h3H            | SfA0eZJcTm | CuRw                    |              13 |                   42 |               6041 | 76987.745612542900000000 |         91866.78 |  66400.37433202339 | 2023-03-05 | 2023-08-14 11:33:11.343 | 23:58:01.736     | \\x604d315d4547616e6a233050415373317274736f5e682d516132524f3d23233c37463463322f342d34376d597e665d6b3d395b4238284028622b7d6d2b4f5042\n(1 row)\n

The data that gets inserted will follow the foreign keys that are defined within Postgres and also ensure the insertion order is correct.

Check the number of records via:

docker exec docker-postgresserver-1 psql -Upostgres -d customer -c 'select count(1) from account.accounts'\n#open report under docker/sample/report/index.html\n
"},{"location":"setup/guide/scenario/delete-generated-data/#delete","title":"Delete","text":"

We are now at a stage where we want to delete the data that was generated. All we need to do is flip two flags.

.enableDeleteGeneratedRecords(true)\n.enableGenerateData(false)  //we need to explicitly disable generating data\n

Enable delete generated records and disable generating data.

Before we run again, let us insert a record manually to see if that data will survive after running the job to delete the generated data.

docker exec docker-postgresserver-1 psql -Upostgres -d customer -c \"insert into account.accounts (account_number) values ('my_account_number')\"\ndocker exec docker-postgresserver-1 psql -Upostgres -d customer -c \"select count(1) from account.accounts\"\n

We now should have 1001 records in our account.accounts table. Let's delete the generated data now.

./run.sh\n#input class MyAdvancedDeleteJavaPlanRun or MyAdvancedDeletePlanRun\n#after completing\ndocker exec docker-postgresserver-1 psql -Upostgres -d customer -c 'select * from account.accounts limit 1'\ndocker exec docker-postgresserver-1 psql -Upostgres -d customer -c 'select count(1) from account.accounts'\n

You should see that only 1 record is left, the one that we manually inserted. Great, now we can generate data reliably and also be able to clean it up.

"},{"location":"setup/guide/scenario/delete-generated-data/#additional-topics","title":"Additional Topics","text":""},{"location":"setup/guide/scenario/delete-generated-data/#one-class-for-generating-another-for-deleting","title":"One class for generating, another for deleting?","text":"

Yes, this is possible. There are two requirements: - the connection names used need to be the same across both classes - recordTrackingFolderPath needs to be set to the same value

"},{"location":"setup/guide/scenario/delete-generated-data/#define-record-count","title":"Define record count","text":"

You can control the record count per sub data source via numRecordsPerStep.

JavaScala
var autoRun = configuration()\n      ...\n      .numRecordsPerStep(100)\n\nexecute(autoRun)\n
val autoRun = configuration\n  ...\n  .numRecordsPerStep(100)\n\nexecute(configuration = autoRun)\n
"},{"location":"setup/guide/scenario/first-data-generation/","title":"First Data Generation","text":"

Creating a data generator for a CSV file.

"},{"location":"setup/guide/scenario/first-data-generation/#requirements","title":"Requirements","text":"
  • 20 minutes
  • Git
  • Gradle
  • Docker
"},{"location":"setup/guide/scenario/first-data-generation/#get-started","title":"Get Started","text":"

First, we will clone the data-caterer-example repo which will already have the base project setup required.

JavaScalaYAMLUI
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n

Run Data Caterer UI via the 'Quick Start' found here.

"},{"location":"setup/guide/scenario/first-data-generation/#plan-setup","title":"Plan Setup","text":"

Create a new Java or Scala class.

  • Java: src/main/java/io/github/datacatering/plan/MyCsvPlan.java
  • Scala: src/main/scala/io/github/datacatering/plan/MyCsvPlan.scala

Make sure your class extends PlanRun.

JavaScala
import io.github.datacatering.datacaterer.java.api.PlanRun;\n\npublic class MyCsvJavaPlan extends PlanRun {\n}\n
import io.github.datacatering.datacaterer.api.PlanRun\n\nclass MyCsvPlan extends PlanRun {\n}\n

This class defines where we need to define all of our configurations for generating data. There are helper variables and methods defined to make it simple and easy to use.

"},{"location":"setup/guide/scenario/first-data-generation/#connection-configuration","title":"Connection Configuration","text":"

When dealing with CSV files, we need to define a path for our generated CSV files to be saved at, along with any other high level configurations.

JavaScala
csv(\n  \"customer_accounts\",              //name\n  \"/opt/app/data/customer/account\", //path\n  Map.of(\"header\", \"true\")          //optional additional options\n)\n

Other additional options for CSV can be found here

csv(\n  \"customer_accounts\",              //name\n  \"/opt/app/data/customer/account\", //path\n  Map(\"header\" -> \"true\")           //optional additional options\n)\n

Other additional options for CSV can be found here

"},{"location":"setup/guide/scenario/first-data-generation/#schema","title":"Schema","text":"

Our CSV file that we generate should adhere to a defined schema where we can also define data types.

Let's define each field along with their corresponding data type. You will notice that the string fields do not have a data type defined. This is because the default data type is StringType.

JavaScala
var accountTask = csv(\"customer_accounts\", \"/opt/app/data/customer/account\", Map.of(\"header\", \"true\"))\n        .schema(\n                field().name(\"account_id\"),\n                field().name(\"balance\").type(DoubleType.instance()),\n                field().name(\"created_by\"),\n                field().name(\"name\"),\n                field().name(\"open_time\").type(TimestampType.instance()),\n                field().name(\"status\")\n        );\n
val accountTask = csv(\"customer_accounts\", \"/opt/app/data/customer/account\", Map(\"header\" -> \"true\"))\n  .schema(\n    field.name(\"account_id\"),\n    field.name(\"balance\").`type`(DoubleType),\n    field.name(\"created_by\"),\n    field.name(\"name\"),\n    field.name(\"open_time\").`type`(TimestampType),\n    field.name(\"status\")\n  )\n
"},{"location":"setup/guide/scenario/first-data-generation/#field-metadata","title":"Field Metadata","text":"

We could stop here and generate random data for the accounts table. But wouldn't it be more useful if we produced data that is closer to the structure of the data that would come in production? We can do this by defining various metadata attributes that add guidelines that the data generator will understand when generating data.

"},{"location":"setup/guide/scenario/first-data-generation/#account_id","title":"account_id","text":"
  • account_id follows a particular pattern that where it starts with ACC and has 8 digits after it. This can be defined via a regex like below. Alongside, we also mention that values are unique ensure that unique values are generated.
JavaScala
field().name(\"account_id\").regex(\"ACC[0-9]{8}\").unique(true),\n
field.name(\"account_id\").regex(\"ACC[0-9]{8}\").unique(true),\n
"},{"location":"setup/guide/scenario/first-data-generation/#balance","title":"balance","text":"
  • balance let's make the numbers not too large, so we can define a min and max for the generated numbers to be between 1 and 1000.
JavaScala
field().name(\"balance\").type(DoubleType.instance()).min(1).max(1000),\n
field.name(\"balance\").`type`(DoubleType).min(1).max(1000),\n
"},{"location":"setup/guide/scenario/first-data-generation/#name","title":"name","text":"
  • name is a string that also follows a certain pattern, so we could also define a regex but here we will choose to leverage the DataFaker library and create an expression to generate real looking name. All possible faker expressions can be found here
JavaScala
field().name(\"name\").expression(\"#{Name.name}\"),\n
field.name(\"name\").expression(\"#{Name.name}\"),\n
"},{"location":"setup/guide/scenario/first-data-generation/#open_time","title":"open_time","text":"
  • open_time is a timestamp that we want to have a value greater than a specific date. We can define a min date by using java.sql.Date like below.
JavaScala
field().name(\"open_time\").type(TimestampType.instance()).min(java.sql.Date.valueOf(\"2022-01-01\")),\n
field.name(\"open_time\").`type`(TimestampType).min(java.sql.Date.valueOf(\"2022-01-01\")),\n
"},{"location":"setup/guide/scenario/first-data-generation/#status","title":"status","text":"
  • status is a field that can only obtain one of four values, open, closed, suspended or pending.
JavaScala
field().name(\"status\").oneOf(\"open\", \"closed\", \"suspended\", \"pending\")\n
field.name(\"status\").oneOf(\"open\", \"closed\", \"suspended\", \"pending\")\n
"},{"location":"setup/guide/scenario/first-data-generation/#created_by","title":"created_by","text":"
  • created_by is a field that is based on the status field where it follows the logic: if status is open or closed, then it is created_by eod else created_by event. This can be achieved by defining a SQL expression like below.
JavaScala
field().name(\"created_by\").sql(\"CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END\"),\n
field.name(\"created_by\").sql(\"CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END\"),\n

Putting it all the fields together, our class should now look like this.

JavaScala
var accountTask = csv(\"customer_accounts\", \"/opt/app/data/customer/account\", Map.of(\"header\", \"true\"))\n        .schema(\n                field().name(\"account_id\").regex(\"ACC[0-9]{8}\").unique(true),\n                field().name(\"balance\").type(DoubleType.instance()).min(1).max(1000),\n                field().name(\"created_by\").sql(\"CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END\"),\n                field().name(\"name\").expression(\"#{Name.name}\"),\n                field().name(\"open_time\").type(TimestampType.instance()).min(java.sql.Date.valueOf(\"2022-01-01\")),\n                field().name(\"status\").oneOf(\"open\", \"closed\", \"suspended\", \"pending\")\n        );\n
val accountTask = csv(\"customer_accounts\", \"/opt/app/data/customer/account\", Map(\"header\" -> \"true\"))\n  .schema(\n    field.name(\"account_id\").regex(\"ACC[0-9]{8}\").unique(true),\n    field.name(\"balance\").`type`(DoubleType).min(1).max(1000),\n    field.name(\"created_by\").sql(\"CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END\"),\n    field.name(\"name\").expression(\"#{Name.name}\"),\n    field.name(\"open_time\").`type`(TimestampType).min(java.sql.Date.valueOf(\"2022-01-01\")),\n    field.name(\"status\").oneOf(\"open\", \"closed\", \"suspended\", \"pending\")\n  )\n
"},{"location":"setup/guide/scenario/first-data-generation/#record-count","title":"Record Count","text":"

We only want to generate 100 records, so that we can see what the output looks like. This is controlled at the accountTask level like below. If you want to generate more records, set it to the value you want.

JavaScala
var accountTask = csv(\"customer_accounts\", \"/opt/app/data/customer/account\", Map.of(\"header\", \"true\"))\n        .schema(\n                ...\n        )\n        .count(count().records(100));\n
val accountTask = csv(\"customer_accounts\", \"/opt/app/data/customer/account\", Map(\"header\" -> \"true\"))\n  .schema(\n    ...\n  )\n  .count(count.records(100))\n
"},{"location":"setup/guide/scenario/first-data-generation/#additional-configurations","title":"Additional Configurations","text":"

At the end of data generation, a report gets generated that summarises the actions it performed. We can control the output folder of that report via configurations. We will also enable the unique check to ensure any unique fields will have unique values generated.

JavaScala
var config = configuration()\n        .generatedReportsFolderPath(\"/opt/app/data/report\")\n        .enableUniqueCheck(true);\n
val config = configuration\n  .generatedReportsFolderPath(\"/opt/app/data/report\")\n  .enableUniqueCheck(true)\n
"},{"location":"setup/guide/scenario/first-data-generation/#execute","title":"Execute","text":"

To tell Data Caterer that we want to run with the configurations along with the accountTask, we have to call execute . So our full plan run will look like this.

JavaScala
public class MyCsvJavaPlan extends PlanRun {\n    {\n        var accountTask = csv(\"customer_accounts\", \"/opt/app/data/customer/account\", Map.of(\"header\", \"true\"))\n                .schema(\n                        field().name(\"account_id\").regex(\"ACC[0-9]{8}\").unique(true),\n                        field().name(\"balance\").type(DoubleType.instance()).min(1).max(1000),\n                        field().name(\"created_by\").sql(\"CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END\"),\n                        field().name(\"name\").expression(\"#{Name.name}\"),\n                        field().name(\"open_time\").type(TimestampType.instance()).min(java.sql.Date.valueOf(\"2022-01-01\")),\n                        field().name(\"status\").oneOf(\"open\", \"closed\", \"suspended\", \"pending\")\n                );\n\n        var config = configuration()\n                .generatedReportsFolderPath(\"/opt/app/data/report\")\n                .enableUniqueCheck(true);\n\n        execute(config, accountTask);\n    }\n}\n
class MyCsvPlan extends PlanRun {\n\n  val accountTask = csv(\"customer_accounts\", \"/opt/app/data/customer/account\", Map(\"header\" -> \"true\"))\n    .schema(\n      field.name(\"account_id\").regex(\"ACC[0-9]{8}\").unique(true),\n      field.name(\"balance\").`type`(DoubleType).min(1).max(1000),\n      field.name(\"created_by\").sql(\"CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END\"),\n      field.name(\"name\").expression(\"#{Name.name}\"),\n      field.name(\"open_time\").`type`(TimestampType).min(java.sql.Date.valueOf(\"2022-01-01\")),\n      field.name(\"status\").oneOf(\"open\", \"closed\", \"suspended\", \"pending\")\n    )\n    val config = configuration\n      .generatedReportsFolderPath(\"/opt/app/data/report\")\n      .enableUniqueCheck(true)\n\n    execute(config, accountTask)\n}\n
"},{"location":"setup/guide/scenario/first-data-generation/#run","title":"Run","text":"

Now we can run via the script ./run.sh that is in the top level directory of the data-caterer-example to run the class we just created.

./run.sh\n#input class MyCsvJavaPlan or MyCsvPlan\n#after completing\nhead docker/sample/customer/account/part-00000*\n

Your output should look like this.

account_id,balance,created_by,name,open_time,status\nACC06192462,853.9843359645766,eod,Hoyt Kertzmann MD,2023-07-22T11:17:01.713Z,closed\nACC15350419,632.5969895326234,eod,Dr. Claude White,2022-12-13T21:57:56.840Z,open\nACC25134369,592.0958847218986,eod,Fabian Rolfson,2023-04-26T04:54:41.068Z,open\nACC48021786,656.6413439322964,eod,Dewayne Stroman,2023-05-17T06:31:27.603Z,open\nACC26705211,447.2850352884595,event,Garrett Funk,2023-07-14T03:50:22.746Z,pending\nACC03150585,750.4568929015996,event,Natisha Reichel,2023-04-11T11:13:10.080Z,suspended\nACC29834210,686.4257811608622,event,Gisele Ondricka,2022-11-15T22:09:41.172Z,suspended\nACC39373863,583.5110618128994,event,Thaddeus Ortiz,2022-09-30T06:33:57.193Z,suspended\nACC39405798,989.2623959059525,eod,Shelby Reinger,2022-10-23T17:29:17.564Z,open\n

Also check the HTML report, found at docker/sample/report/index.html, that gets generated to get an overview of what was executed.

"},{"location":"setup/guide/scenario/first-data-generation/#join-with-another-csv","title":"Join With Another CSV","text":"

Now that we have generated some accounts, let's also try to generate a set of transactions for those accounts in CSV format as well. The transactions could be in any other format, but to keep this simple, we will continue using CSV.

We can define our schema the same way along with any additional metadata.

JavaScala
var transactionTask = csv(\"customer_transactions\", \"/opt/app/data/customer/transaction\", Map.of(\"header\", \"true\"))\n        .schema(\n                field().name(\"account_id\"),\n                field().name(\"name\"),\n                field().name(\"amount\").type(DoubleType.instance()).min(1).max(100),\n                field().name(\"time\").type(TimestampType.instance()).min(java.sql.Date.valueOf(\"2022-01-01\")),\n                field().name(\"date\").type(DateType.instance()).sql(\"DATE(time)\")\n        );\n
val transactionTask = csv(\"customer_transactions\", \"/opt/app/data/customer/transaction\", Map(\"header\" -> \"true\"))\n  .schema(\n    field.name(\"account_id\"),\n    field.name(\"full_name\"),\n    field.name(\"amount\").`type`(DoubleType).min(1).max(100),\n    field.name(\"time\").`type`(TimestampType).min(java.sql.Date.valueOf(\"2022-01-01\")),\n    field.name(\"date\").`type`(DateType).sql(\"DATE(time)\")\n  )\n
"},{"location":"setup/guide/scenario/first-data-generation/#records-per-column","title":"Records Per Column","text":"

Usually, for a given account_id, full_name, there should be multiple records for it as we want to simulate a customer having multiple transactions. We can achieve this through defining the number of records to generate in the count function.

JavaScala
var transactionTask = csv(\"customer_transactions\", \"/opt/app/data/customer/transaction\", Map.of(\"header\", \"true\"))\n        .schema(\n                ...\n        )\n        .count(count().recordsPerColumn(5, \"account_id\", \"full_name\"));\n
val transactionTask = csv(\"customer_transactions\", \"/opt/app/data/customer/transaction\", Map(\"header\" -> \"true\"))\n  .schema(\n    ...\n  )\n  .count(count.recordsPerColumn(5, \"account_id\", \"full_name\"))\n
"},{"location":"setup/guide/scenario/first-data-generation/#random-records-per-column","title":"Random Records Per Column","text":"

Above, you will notice that we are generating 5 records per account_id, full_name. This is okay but still not quite reflective of the real world. Sometimes, people have accounts with no transactions in them, or they could have many. We can accommodate for this via defining a random number of records per column.

JavaScala
var transactionTask = csv(\"customer_transactions\", \"/opt/app/data/customer/transaction\", Map.of(\"header\", \"true\"))\n        .schema(\n                ...\n        )\n        .count(count().recordsPerColumnGenerator(generator().min(0).max(5), \"account_id\", \"full_name\"));\n
val transactionTask = csv(\"customer_transactions\", \"/opt/app/data/customer/transaction\", Map(\"header\" -> \"true\"))\n  .schema(\n    ...\n  )\n  .count(count.recordsPerColumnGenerator(generator.min(0).max(5), \"account_id\", \"full_name\"))\n

Here we set the minimum number of records per column to be 0 and the maximum to 5.

"},{"location":"setup/guide/scenario/first-data-generation/#foreign-key","title":"Foreign Key","text":"

In this scenario, we want to match the account_id in account to match the same column values in transaction. We also want to match name in account to full_name in transaction. This can be done via plan configuration like below.

JavaScala
var myPlan = plan().addForeignKeyRelationship(\n        accountTask, List.of(\"account_id\", \"name\"), //the task and columns we want linked\n        List.of(Map.entry(transactionTask, List.of(\"account_id\", \"full_name\"))) //list of other tasks and their respective column names we want matched\n);\n
val myPlan = plan.addForeignKeyRelationship(\n  accountTask, List(\"account_id\", \"name\"),  //the task and columns we want linked\n  List(transactionTask -> List(\"account_id\", \"full_name\"))  //list of other tasks and their respective column names we want matched\n)\n

Now, stitching it all together for the execute function, our final plan should look like this.

JavaScala
public class MyCsvJavaPlan extends PlanRun {\n    {\n        var accountTask = csv(\"customer_accounts\", \"/opt/app/data/customer/account\", Map.of(\"header\", \"true\"))\n                .schema(\n                        field().name(\"account_id\").regex(\"ACC[0-9]{8}\").unique(true),\n                        field().name(\"balance\").type(DoubleType.instance()).min(1).max(1000),\n                        field().name(\"created_by\").sql(\"CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END\"),\n                        field().name(\"name\").expression(\"#{Name.name}\"),\n                        field().name(\"open_time\").type(TimestampType.instance()).min(java.sql.Date.valueOf(\"2022-01-01\")),\n                        field().name(\"status\").oneOf(\"open\", \"closed\", \"suspended\", \"pending\")\n                )\n                .count(count().records(100));\n\n        var transactionTask = csv(\"customer_transactions\", \"/opt/app/data/customer/transaction\", Map.of(\"header\", \"true\"))\n                .schema(\n                        field().name(\"account_id\"),\n                        field().name(\"name\"),\n                        field().name(\"amount\").type(DoubleType.instance()).min(1).max(100),\n                        field().name(\"time\").type(TimestampType.instance()).min(java.sql.Date.valueOf(\"2022-01-01\")),\n                        field().name(\"date\").type(DateType.instance()).sql(\"DATE(time)\")\n                )\n                .count(count().recordsPerColumnGenerator(generator().min(0).max(5), \"account_id\", \"full_name\"));\n\n        var config = configuration()\n                .generatedReportsFolderPath(\"/opt/app/data/report\")\n                .enableUniqueCheck(true);\n\n        var myPlan = plan().addForeignKeyRelationship(\n                accountTask, List.of(\"account_id\", \"name\"),\n                List.of(Map.entry(transactionTask, List.of(\"account_id\", \"full_name\")))\n        );\n\n        execute(myPlan, config, accountTask, transactionTask);\n    }\n}\n
class MyCsvPlan extends PlanRun {\n\n  val accountTask = csv(\"customer_accounts\", \"/opt/app/data/customer/account\", Map(\"header\" -> \"true\"))\n    .schema(\n      field.name(\"account_id\").regex(\"ACC[0-9]{8}\").unique(true),\n      field.name(\"balance\").`type`(DoubleType).min(1).max(1000),\n      field.name(\"created_by\").sql(\"CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END\"),\n      field.name(\"name\").expression(\"#{Name.name}\"),\n      field.name(\"open_time\").`type`(TimestampType).min(java.sql.Date.valueOf(\"2022-01-01\")),\n      field.name(\"status\").oneOf(\"open\", \"closed\", \"suspended\", \"pending\")\n    )\n    .count(count.records(100))\n\n  val transactionTask = csv(\"customer_transactions\", \"/opt/app/data/customer/transaction\", Map(\"header\" -> \"true\"))\n    .schema(\n      field.name(\"account_id\"),\n      field.name(\"name\"),\n      field.name(\"amount\").`type`(DoubleType).min(1).max(100),\n      field.name(\"time\").`type`(TimestampType).min(java.sql.Date.valueOf(\"2022-01-01\")),\n      field.name(\"date\").`type`(DateType).sql(\"DATE(time)\")\n    )\n    .count(count.recordsPerColumnGenerator(generator.min(0).max(5), \"account_id\", \"full_name\"))\n\n  val config = configuration\n    .generatedReportsFolderPath(\"/opt/app/data/report\")\n    .enableUniqueCheck(true)\n\n  val myPlan = plan.addForeignKeyRelationship(\n    accountTask, List(\"account_id\", \"name\"),\n    List(transactionTask -> List(\"account_id\", \"full_name\"))\n  )\n\n  execute(myPlan, config, accountTask, transactionTask)\n}\n

Let's try run again.

#clean up old data\nrm -rf docker/sample/customer/account\n./run.sh\n#input class MyCsvJavaPlan or MyCsvPlan\n#after completing, let's pick an account and check the transactions for that account\naccount=$(tail -1 docker/sample/customer/account/part-00000* | awk -F \",\" '{print $1 \",\" $4}')\necho $account\ncat docker/sample/customer/transaction/part-00000* | grep $account\n

It should look something like this.

ACC29117767,Willodean Sauer\nACC29117767,Willodean Sauer,84.99145871948083,2023-05-14T09:55:51.439Z,2023-05-14\nACC29117767,Willodean Sauer,58.89345733567232,2022-11-22T07:38:20.143Z,2022-11-22\n

Congratulations! You have now made a data generator that has simulated a real world data scenario. You can check the DocumentationJavaPlanRun.java or DocumentationPlanRun.scala files as well to check that your plan is the same.

We can now look to consume this CSV data from a job or service. Usually, once we have consumed the data, we would also want to check and validate that our consumer has correctly ingested the data.

"},{"location":"setup/guide/scenario/first-data-generation/#validate","title":"Validate","text":"

In this scenario, our consumer will read in the CSV file, do some transformations, and then save the data to Postgres. Let's try to configure data validations for the data that gets pushed into Postgres.

"},{"location":"setup/guide/scenario/first-data-generation/#postgres-setup","title":"Postgres setup","text":"

First, we define our connection properties for Postgres. You can check out the full options available here.

JavaScala
var postgresValidateTask = postgres(\n    \"my_postgres\",                                          //connection name\n    \"jdbc:postgresql://host.docker.internal:5432/customer\", //url\n    \"postgres\",                                             //username\n    \"password\"                                              //password\n).table(\"account\", \"transactions\");\n
val postgresValidateTask = postgres(\n  \"my_postgres\",                                          //connection name\n  \"jdbc:postgresql://host.docker.internal:5432/customer\", //url\n  \"postgres\",                                             //username\n  \"password\"                                              //password\n).table(\"account\", \"transactions\")\n

We can connect and access the data inside the table account.transactions. Now to define our data validations.

"},{"location":"setup/guide/scenario/first-data-generation/#validations","title":"Validations","text":"

For full information about validation options and configurations, check here. Below, we have an example that should give you a good understanding of what validations are possible.

JavaScala
var postgresValidateTask = postgres(...)\n        .table(\"account\", \"transactions\")\n        .validations(\n                validation().col(\"account_id\").isNotNull(),\n                validation().col(\"name\").matches(\"[A-Z][a-z]+ [A-Z][a-z]+\").errorThreshold(0.2).description(\"Some names have different formats\"),\n                validation().col(\"balance\").greaterThanOrEqual(0).errorThreshold(10).description(\"Account can have negative balance if overdraft\"),\n                validation().expr(\"CASE WHEN status == 'closed' THEN isNotNull(close_date) ELSE isNull(close_date) END\"),\n                validation().unique(\"account_id\", \"name\"),\n                validation().groupBy(\"account_id\", \"name\").max(\"login_retry\").lessThan(10)\n        );\n
val postgresValidateTask = postgres(...)\n  .table(\"account\", \"transactions\")\n  .validations(\n    validation.col(\"account_id\").isNotNull,\n    validation.col(\"name\").matches(\"[A-Z][a-z]+ [A-Z][a-z]+\").errorThreshold(0.2).description(\"Some names have different formats\"),\n    validation.col(\"balance\").greaterThanOrEqual(0).errorThreshold(10).description(\"Account can have negative balance if overdraft\"),\n    validation.expr(\"CASE WHEN status == 'closed' THEN isNotNull(close_date) ELSE isNull(close_date) END\"),\n    validation.unique(\"account_id\", \"name\"),\n    validation.groupBy(\"account_id\", \"name\").max(\"login_retry\").lessThan(10)\n  )\n
"},{"location":"setup/guide/scenario/first-data-generation/#name_1","title":"name","text":"

For all values in the name column, we check if they match the regex [A-Z][a-z]+ [A-Z][a-z]+. As we know in the real world, names do not always follow the same pattern, so we allow for an errorThreshold before marking the validation as failed. Here, we define the errorThreshold to be 0.2, which means, if the error percentage is greater than 20%, then fail the validation. We also append on a helpful description so other developers/users can understand the context of the validation.

"},{"location":"setup/guide/scenario/first-data-generation/#balance_1","title":"balance","text":"

We check that all balance values are greater than or equal to 0. This time, we have a slightly different errorThreshold as it is set to 10, which means, if the number of errors is greater than 10, then fail the validation.

"},{"location":"setup/guide/scenario/first-data-generation/#expr","title":"expr","text":"

Sometimes, we may need to include the values of multiple columns to validate a certain condition. This is where we can use expr to define a SQL expression that returns a boolean. In this scenario, we are checking if the status column has value closed, then the close_date should be not null, otherwise, close_date is null.

"},{"location":"setup/guide/scenario/first-data-generation/#unique","title":"unique","text":"

We check whether the combination of account_id and name are unique within the dataset. You can define one or more columns for unique validations.

"},{"location":"setup/guide/scenario/first-data-generation/#groupby","title":"groupBy","text":"

There may be some business rule that states the number of login_retry should be less than 10 for each account. We can check this via a group by validation where we group by the account_id, name, take the maximum value for login_retry per account_id,name combination, then check if it is less than 10.

You can now look to play around with other configurations or data sources to meet your needs. Also, make sure to explore the docs further as it can guide you on what can be configured.

"},{"location":"setup/guide/scenario/records-per-column/","title":"Multiple Records Per Column","text":"

Creating a data generator for a CSV file where there are multiple records per column values.

"},{"location":"setup/guide/scenario/records-per-column/#requirements","title":"Requirements","text":"
  • 5 minutes
  • Git
  • Gradle
  • Docker
"},{"location":"setup/guide/scenario/records-per-column/#get-started","title":"Get Started","text":"

First, we will clone the data-caterer-example repo which will already have the base project setup required.

JavaScalaYAMLUI
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n
git clone git@github.com:data-catering/data-caterer-example.git\n

Run Data Caterer UI via the 'Quick Start' found here.

"},{"location":"setup/guide/scenario/records-per-column/#plan-setup","title":"Plan Setup","text":"

Create a new Java or Scala class.

  • Java: src/main/java/io/github/datacatering/plan/MyMultipleRecordsPerColJavaPlan.java
  • Scala: src/main/scala/io/github/datacatering/plan/MyMultipleRecordsPerColPlan.scala

Make sure your class extends PlanRun.

JavaScala
import io.github.datacatering.datacaterer.java.api.PlanRun;\n...\n\npublic class MyMultipleRecordsPerColJavaPlan extends PlanRun {\n    {\n        var transactionTask = csv(\"customer_transactions\", \"/opt/app/data/customer/transaction\", Map.of(\"header\", \"true\"))\n                .schema(\n                        field().name(\"account_id\"),\n                        field().name(\"full_name\"),\n                        field().name(\"amount\").type(DoubleType.instance()).min(1).max(100),\n                        field().name(\"time\").type(TimestampType.instance()).min(java.sql.Date.valueOf(\"2022-01-01\")),\n                        field().name(\"date\").type(DateType.instance()).sql(\"DATE(time)\")\n                );\n\n        var config = configuration()\n                .generatedReportsFolderPath(\"/opt/app/data/report\")\n                .enableUniqueCheck(true);\n\n        execute(config, transactionTask);\n    }\n}\n
import io.github.datacatering.datacaterer.api.PlanRun\n...\n\nclass MyMultipleRecordsPerColPlan extends PlanRun {\n\n  val transactionTask = csv(\"customer_transactions\", \"/opt/app/data/customer/transaction\", Map(\"header\" -> \"true\"))\n    .schema(\n      field.name(\"account_id\").regex(\"ACC[0-9]{8}\"), \n      field.name(\"full_name\").expression(\"#{Name.name}\"), \n      field.name(\"amount\").`type`(DoubleType.instance).min(1).max(100),\n      field.name(\"time\").`type`(TimestampType.instance).min(java.sql.Date.valueOf(\"2022-01-01\")), \n      field.name(\"date\").`type`(DateType.instance).sql(\"DATE(time)\")\n    )\n\n  val config = configuration\n    .generatedReportsFolderPath(\"/opt/app/data/report\")\n\n  execute(config, transactionTask)\n}\n
"},{"location":"setup/guide/scenario/records-per-column/#record-count","title":"Record Count","text":"

By default, tasks will generate 1000 records. You can alter this value via the count configuration which can be applied to individual tasks. For example, in Scala, csv(...).count(count.records(100)) to generate only 100 records.

"},{"location":"setup/guide/scenario/records-per-column/#records-per-column","title":"Records Per Column","text":"

In this scenario, for a given account_id, full_name, there should be multiple records for it as we want to simulate a customer having multiple transactions. We can achieve this through defining the number of records to generate in the count function.

JavaScala
var transactionTask = csv(\"customer_transactions\", \"/opt/app/data/customer/transaction\", Map.of(\"header\", \"true\"))\n        .schema(\n                ...\n        )\n        .count(count().recordsPerColumn(5, \"account_id\", \"full_name\"));\n
val transactionTask = csv(\"customer_transactions\", \"/opt/app/data/customer/transaction\", Map(\"header\" -> \"true\"))\n  .schema(\n    ...\n  )\n  .count(count.recordsPerColumn(5, \"account_id\", \"full_name\"))\n

This will generate 1000 * 5 = 5000 records as the default number of records is set (1000) and per account_id, full_name from the initial 1000 records, 5 records will be generated.

"},{"location":"setup/guide/scenario/records-per-column/#random-records-per-column","title":"Random Records Per Column","text":"

Generating 5 records per column is okay but still not quite reflective of the real world. Sometimes, people have accounts with no transactions in them, or they could have many. We can accommodate for this via defining a random number of records per column.

JavaScala
var transactionTask = csv(\"customer_transactions\", \"/opt/app/data/customer/transaction\", Map.of(\"header\", \"true\"))\n        .schema(\n                ...\n        )\n        .count(count().recordsPerColumnGenerator(generator().min(0).max(5), \"account_id\", \"full_name\"));\n
val transactionTask = csv(\"customer_transactions\", \"/opt/app/data/customer/transaction\", Map(\"header\" -> \"true\"))\n  .schema(\n    ...\n  )\n  .count(count.recordsPerColumnGenerator(generator.min(0).max(5), \"account_id\", \"full_name\"))\n

Here we set the minimum number of records per column to be 0 and the maximum to 5. This will follow a uniform distribution so the average number of records per account is 2.5. We could also define other metadata, just like we did with fields, when defining the generator. For example, we could set standardDeviation and mean for the number of records generated per column to follow a normal distribution.

"},{"location":"setup/guide/scenario/records-per-column/#run","title":"Run","text":"

Let's try run.

#clean up old data\nrm -rf docker/sample/customer/account\n./run.sh\n#input class MyMultipleRecordsPerColJavaPlan or MyMultipleRecordsPerColPlan\n#after completing\nhead docker/sample/customer/transaction/part-00000*\n

It should look something like this.

ACC29117767,Willodean Sauer\nACC29117767,Willodean Sauer,84.99145871948083,2023-05-14T09:55:51.439Z,2023-05-14\nACC29117767,Willodean Sauer,58.89345733567232,2022-11-22T07:38:20.143Z,2022-11-22\n

You can now look to play around with other count configurations found here.

"},{"location":"setup/report/alert/","title":"Alert","text":"

Alerts can be configured to help users receive feedback from their data testing results. Currently, Data Caterer supports Slack for alerts.

"},{"location":"setup/report/alert/#slack","title":"Slack","text":"

Define a Slack token and one or more Slack channels that will receive an alert like the below.

JavaScala
var conf = configuration()\n    .slackAlertToken(\"abc123\")                                //use appropriate Slack token (usually bot token)\n    .slackAlertChannels(\"#test-alerts\", \"#pre-prod-testing\"); //define Slack channel(s) to receive alerts on\n\nexecute(conf, ...);\n
val conf = configuration\n  .slackAlertToken(\"abc123\")                                //use appropriate Slack token (usually bot token)\n  .slackAlertChannels(\"#test-alerts\", \"#pre-prod-testing\")  //define Slack channel(s) to receive alerts on\n\nexecute(conf, ...)\n
"},{"location":"setup/report/html-report/","title":"Report","text":"

Data Caterer can be configured to produce a report of the data generated to help users understand what was run, how much data was generated, where it was generated, validation results and any associated metadata.

"},{"location":"setup/report/html-report/#sample","title":"Sample","text":"

Once run, it will produce a report like this.

"},{"location":"setup/validation/basic-validation/","title":"Basic Validations","text":"

Run validations on a column to ensure the values adhere to your requirement. Can be set to complex validation logic via SQL expression as well if needed (see here).

"},{"location":"setup/validation/basic-validation/#pre-filter","title":"Pre-filter","text":"

If you want to only run the validation on a specific subset of data, you can define pre-filter conditions. Find more details here.

"},{"location":"setup/validation/basic-validation/#equal","title":"Equal","text":"

Ensure all data in column is equal to certain value. Value can be of any data type. Can use isEqualCol to define SQL expression that can reference other columns.

JavaScalaYAML
validation().col(\"year\").isEqual(2021),\nvalidation().col(\"year\").isEqualCol(\"YEAR(date)\"),\n
validation.col(\"year\").isEqual(2021),\nvalidation.col(\"year\").isEqualCol(\"YEAR(date)\"),\n
---\nname: \"account_checks\"\ndataSources:\n  ...\n    validations:\n      - whereExpr: \"year == 2021\"\n
"},{"location":"setup/validation/basic-validation/#not-equal","title":"Not Equal","text":"

Ensure all data in column is not equal to certain value. Value can be of any data type. Can use isNotEqualCol to define SQL expression that can reference other columns.

JavaScalaYAML
validation().col(\"year\").isNotEqual(2021),\nvalidation().col(\"year\").isNotEqualCol(\"YEAR(date)\"),\n
validation.col(\"year\").isNotEqual(2021)\nvalidation.col(\"year\").isEqualCol(\"YEAR(date)\"),\n
---\nname: \"account_checks\"\ndataSources:\n  ...\n    validations:\n      - whereExpr: \"year != 2021\"\n
"},{"location":"setup/validation/basic-validation/#null","title":"Null","text":"

Ensure all data in column is null.

JavaScalaYAML
validation().col(\"year\").isNull()\n
validation.col(\"year\").isNull\n
---\nname: \"account_checks\"\ndataSources:\n  ...\n    validations:\n      - whereExpr: \"ISNULL(year)\"\n
"},{"location":"setup/validation/basic-validation/#not-null","title":"Not Null","text":"

Ensure all data in column is not null.

JavaScalaYAML
validation().col(\"year\").isNotNull()\n
validation.col(\"year\").isNotNull\n
---\nname: \"account_checks\"\ndataSources:\n  ...\n    validations:\n      - whereExpr: \"ISNOTNULL(year)\"\n
"},{"location":"setup/validation/basic-validation/#contains","title":"Contains","text":"

Ensure all data in column is contains certain string. Column has to have type string.

JavaScalaYAML
validation().col(\"name\").contains(\"peter\")\n
validation.col(\"name\").contains(\"peter\")\n
---\nname: \"account_checks\"\ndataSources:\n  ...\n    validations:\n      - whereExpr: \"CONTAINS(name, 'peter')\"\n
"},{"location":"setup/validation/basic-validation/#not-contains","title":"Not Contains","text":"

Ensure all data in column does not contain certain string. Column has to have type string.

JavaScalaYAML
validation().col(\"name\").notContains(\"peter\")\n
validation.col(\"name\").notContains(\"peter\")\n
---\nname: \"account_checks\"\ndataSources:\n  ...\n    validations:\n      - whereExpr: \"!CONTAINS(name, 'peter')\"\n
"},{"location":"setup/validation/basic-validation/#unique","title":"Unique","text":"

Ensure all data in column is unique.

JavaScalaYAML
validation().unique(\"account_id\", \"name\")\n
validation.unique(\"account_id\", \"name\")\n
---\nname: \"account_checks\"\ndataSources:\n  ...\n    validations:\n      - unique: [\"account_id\", \"name\"]\n
"},{"location":"setup/validation/basic-validation/#less-than","title":"Less Than","text":"

Ensure all data in column is less than certain value. Can use lessThanCol to define SQL expression that can reference other columns.

JavaScalaYAML
validation().col(\"amount\").lessThan(100),\nvalidation().col(\"amount\").lessThanCol(\"balance + 1\"),\n
validation.col(\"amount\").lessThan(100),\nvalidation.col(\"amount\").lessThanCol(\"balance + 1\"),\n
---\nname: \"account_checks\"\ndataSources:\n  ...\n    validations:\n      - whereExpr: \"amount < 100\"\n      - whereExpr: \"amount < balance + 1\"\n
"},{"location":"setup/validation/basic-validation/#less-than-or-equal","title":"Less Than Or Equal","text":"

Ensure all data in column is less than or equal to certain value. Can use lessThanOrEqualCol to define SQL expression that can reference other columns.

JavaScalaYAML
validation().col(\"amount\").lessThanOrEqual(100),\nvalidation().col(\"amount\").lessThanOrEqualCol(\"balance + 1\"),\n
validation.col(\"amount\").lessThanOrEqual(100),\nvalidation.col(\"amount\").lessThanCol(\"balance + 1\"),\n
---\nname: \"account_checks\"\ndataSources:\n  ...\n    validations:\n      - whereExpr: \"amount <= 100\"\n      - whereExpr: \"amount <= balance + 1\"\n
"},{"location":"setup/validation/basic-validation/#greater-than","title":"Greater Than","text":"

Ensure all data in column is greater than certain value. Can use greaterThanCol to define SQL expression that can reference other columns.

JavaScalaYAML
validation().col(\"amount\").greaterThan(100),\nvalidation().col(\"amount\").greaterThanCol(\"balance\"),\n
validation.col(\"amount\").greaterThan(100),\nvalidation.col(\"amount\").greaterThanCol(\"balance\"),\n
---\nname: \"account_checks\"\ndataSources:\n  ...\n    validations:\n      - whereExpr: \"amount > 100\"\n      - whereExpr: \"amount > balance\"\n
"},{"location":"setup/validation/basic-validation/#greater-than-or-equal","title":"Greater Than Or Equal","text":"

Ensure all data in column is greater than or equal to certain value. Can use greaterThanOrEqualCol to define SQL expression that can reference other columns.

JavaScalaYAML
validation().col(\"amount\").greaterThanOrEqual(100),\nvalidation().col(\"amount\").greaterThanOrEqualCol(\"balance\"),\n
validation.col(\"amount\").greaterThanOrEqual(100),\nvalidation.col(\"amount\").greaterThanOrEqualCol(\"balance\"),\n
---\nname: \"account_checks\"\ndataSources:\n  ...\n    validations:\n      - whereExpr: \"amount >= 100\"\n      - whereExpr: \"amount >= balance\"\n
"},{"location":"setup/validation/basic-validation/#between","title":"Between","text":"

Ensure all data in column is between two values. Can use betweenCol to define SQL expression that references other columns.

JavaScalaYAML
validation().col(\"amount\").between(100, 200),\nvalidation().col(\"amount\").betweenCol(\"balance * 0.9\", \"balance * 1.1\"),\n
validation.col(\"amount\").between(100, 200),\nvalidation.col(\"amount\").betweenCol(\"balance * 0.9\", \"balance * 1.1\"),\n
---\nname: \"account_checks\"\ndataSources:\n  ...\n    validations:\n      - whereExpr: \"amount BETWEEN 100 AND 200\"\n      - whereExpr: \"amount BETWEEN balance * 0.9 AND balance * 1.1\"\n
"},{"location":"setup/validation/basic-validation/#not-between","title":"Not Between","text":"

Ensure all data in column is not between two values. Can use notBetweenCol to define SQL expression that references other columns.

JavaScalaYAML
validation().col(\"amount\").notBetween(100, 200),\nvalidation().col(\"amount\").notBetweenCol(\"balance * 0.9\", \"balance * 1.1\"),\n
validation.col(\"amount\").notBetween(100, 200)\nvalidation.col(\"amount\").notBetweenCol(\"balance * 0.9\", \"balance * 1.1\"),\n
---\nname: \"account_checks\"\ndataSources:\n  ...\n    validations:\n      - whereExpr: \"amount NOT BETWEEN 100 AND 200\"\n      - whereExpr: \"amount NOT BETWEEN balance * 0.9 AND balance * 1.1\"\n
"},{"location":"setup/validation/basic-validation/#in","title":"In","text":"

Ensure all data in column is in set of defined values.

JavaScalaYAML
validation().col(\"status\").in(\"open\", \"closed\")\n
validation.col(\"status\").in(\"open\", \"closed\")\n
---\nname: \"account_checks\"\ndataSources:\n  ...\n    validations:\n      - whereExpr: \"status IN ('open', 'closed')\"\n
"},{"location":"setup/validation/basic-validation/#matches","title":"Matches","text":"

Ensure all data in column matches certain regex expression.

JavaScalaYAML
validation().col(\"account_id\").matches(\"ACC[0-9]{8}\")\n
validation.col(\"account_id\").matches(\"ACC[0-9]{8}\")\n
---\nname: \"account_checks\"\ndataSources:\n  ...\n    validations:\n      - whereExpr: \"REGEXP(account_id, ACC[0-9]{8})\"\n
"},{"location":"setup/validation/basic-validation/#not-matches","title":"Not Matches","text":"

Ensure all data in column does not match certain regex expression.

JavaScalaYAML
validation().col(\"account_id\").notMatches(\"^acc.*\")\n
validation.col(\"account_id\").notMatches(\"^acc.*\")\n
---\nname: \"account_checks\"\ndataSources:\n  ...\n    validations:\n      - whereExpr: \"!REGEXP(account_id, '^acc.*')\"\n
"},{"location":"setup/validation/basic-validation/#starts-with","title":"Starts With","text":"

Ensure all data in column starts with certain string. Column has to have type string.

JavaScalaYAML
validation().col(\"account_id\").startsWith(\"ACC\")\n
validation.col(\"account_id\").startsWith(\"ACC\")\n
---\nname: \"account_checks\"\ndataSources:\n  ...\n    validations:\n      - whereExpr: \"STARTSWITH(account_id, 'ACC')\"\n
"},{"location":"setup/validation/basic-validation/#not-starts-with","title":"Not Starts With","text":"

Ensure all data in column does not start with certain string. Column has to have type string.

JavaScalaYAML
validation().col(\"account_id\").notStartsWith(\"ACC\")\n
validation.col(\"account_id\").notStartsWith(\"ACC\")\n
---\nname: \"account_checks\"\ndataSources:\n  ...\n    validations:\n      - whereExpr: \"!STARTSWITH(account_id, 'ACC')\"\n
"},{"location":"setup/validation/basic-validation/#ends-with","title":"Ends With","text":"

Ensure all data in column ends with certain string. Column has to have type string.

JavaScalaYAML
validation().col(\"account_id\").endsWith(\"ACC\")\n
validation.col(\"account_id\").endsWith(\"ACC\")\n
---\nname: \"account_checks\"\ndataSources:\n  ...\n    validations:\n      - whereExpr: \"ENDWITH(account_id, 'ACC')\"\n
"},{"location":"setup/validation/basic-validation/#not-ends-with","title":"Not Ends With","text":"

Ensure all data in column does not end with certain string. Column has to have type string.

JavaScalaYAML
validation().col(\"account_id\").notEndsWith(\"ACC\")\n
validation.col(\"account_id\").notEndsWith(\"ACC\")\n
---\nname: \"account_checks\"\ndataSources:\n  ...\n    validations:\n      - whereExpr: \"!ENDWITH(account_id, 'ACC')\"\n
"},{"location":"setup/validation/basic-validation/#size","title":"Size","text":"

Ensure all data in column has certain size. Column has to have type array or map.

JavaScalaYAML
validation().col(\"transactions\").size(5)\n
validation.col(\"transactions\").size(5)\n
---\nname: \"account_checks\"\ndataSources:\n  ...\n    validations:\n      - whereExpr: \"SIZE(transactions, 5)\"\n
"},{"location":"setup/validation/basic-validation/#not-size","title":"Not Size","text":"

Ensure all data in column does not have certain size. Column has to have type array or map.

JavaScalaYAML
validation().col(\"transactions\").notSize(5)\n
validation.col(\"transactions\").notSize(5)\n
---\nname: \"account_checks\"\ndataSources:\n  ...\n    validations:\n      - whereExpr: \"SIZE(transactions) != 5\"\n
"},{"location":"setup/validation/basic-validation/#less-than-size","title":"Less Than Size","text":"

Ensure all data in column has size less than certain value. Column has to have type array or map.

JavaScalaYAML
validation().col(\"transactions\").lessThanSize(5)\n
validation.col(\"transactions\").lessThanSize(5)\n
---\nname: \"account_checks\"\ndataSources:\n  ...\n    validations:\n      - whereExpr: \"SIZE(transactions) < 5\"\n
"},{"location":"setup/validation/basic-validation/#less-than-or-equal-size","title":"Less Than Or Equal Size","text":"

Ensure all data in column has size less than or equal to certain value. Column has to have type array or map.

JavaScalaYAML
validation().col(\"transactions\").lessThanOrEqualSize(5)\n
validation.col(\"transactions\").lessThanOrEqualSize(5)\n
---\nname: \"account_checks\"\ndataSources:\n  ...\n    validations:\n      - whereExpr: \"SIZE(transactions) <= 5\"\n
"},{"location":"setup/validation/basic-validation/#greater-than-size","title":"Greater Than Size","text":"

Ensure all data in column has size greater than certain value. Column has to have type array or map.

JavaScalaYAML
validation().col(\"transactions\").greaterThanSize(5)\n
validation.col(\"transactions\").greaterThanSize(5)\n
---\nname: \"account_checks\"\ndataSources:\n  ...\n    validations:\n      - whereExpr: \"SIZE(transactions) > 5\"\n
"},{"location":"setup/validation/basic-validation/#greater-than-or-equal-size","title":"Greater Than Or Equal Size","text":"

Ensure all data in column has size greater than or equal to certain value. Column has to have type array or map.

JavaScalaYAML
validation().col(\"transactions\").greaterThanOrEqualSize(5)\n
validation.col(\"transactions\").greaterThanOrEqualSize(5)\n
---\nname: \"account_checks\"\ndataSources:\n  ...\n    validations:\n      - whereExpr: \"SIZE(transactions) >= 5\"\n
"},{"location":"setup/validation/basic-validation/#luhn-check","title":"Luhn Check","text":"

Ensure all data in column passes luhn check. Luhn check is used to validate credit card numbers and certain identification numbers (see here for more details).

JavaScalaYAML
validation().col(\"credit_card\").luhnCheck()\n
validation.col(\"credit_card\").luhnCheck\n
---\nname: \"account_checks\"\ndataSources:\n  ...\n    validations:\n      - whereExpr: \"LUHN_CHECK(credit_card)\"\n
"},{"location":"setup/validation/basic-validation/#has-type","title":"Has Type","text":"

Ensure all data in column has certain data type.

JavaScalaYAML
validation().col(\"id\").hasType(\"string\")\n
validation.col(\"id\").hasType(\"string\")\n
---\nname: \"account_checks\"\ndataSources:\n  ...\n    validations:\n      - whereExpr: \"TYPEOF(id) == 'string'\"\n
"},{"location":"setup/validation/basic-validation/#expression","title":"Expression","text":"

Ensure all data in column adheres to SQL expression defined that returns back a boolean. You can define complex logic in here that could combine multiple columns.

For example, CASE WHEN status == 'open' THEN balance > 0 ELSE balance == 0 END would check all rows with status open to have balance greater than 0, otherwise, check the balance is 0.

JavaScalaYAML
var csvTxns = csv(\"transactions\", \"/tmp/csv\", Map.of(\"header\", \"true\"))\n  .validations(\n    validation().expr(\"amount < 100\"),\n    validation().expr(\"year == 2021\").errorThreshold(0.1),  //equivalent to if error percentage is > 10%, then fail\n    validation().expr(\"REGEXP_LIKE(name, 'Peter .*')\").errorThreshold(200)  //equivalent to if number of errors is > 200, then fail\n  );\n\nvar conf = configuration().enableValidation(true);\n
val csvTxns = csv(\"transactions\", \"/tmp/csv\", Map(\"header\" -> \"true\"))\n  .validations(\n    validation.expr(\"amount < 100\"),\n    validation.expr(\"year == 2021\").errorThreshold(0.1),  //equivalent to if error percentage is > 10%, then fail\n    validation.expr(\"REGEXP_LIKE(name, 'Peter .*')\").errorThreshold(200)  //equivalent to if number of errors is > 200, then fail\n  )\n\nval conf = configuration.enableValidation(true)\n
---\nname: \"account_checks\"\ndataSources:\n  transactions:\n    options:\n      path: \"/tmp/csv\"\n    validations:\n      - whereExpr: \"amount < 100\"\n      - whereExpr: \"year == 2021\"\n        errorThreshold: 0.1   #equivalent to if error percentage is > 10%, then fail\n      - whereExpr: \"REGEXP_LIKE(name, 'Peter .*')\"\n        errorThreshold: 200   #equivalent to if number of errors is > 200, then fail\n        description: \"Should be lots of Peters\"\n\n#enableValidation inside application.conf\n
"},{"location":"setup/validation/column-name-validation/","title":"Column Name Validations","text":"

Run validations on the column names to check for column name count of existence of column names.

"},{"location":"setup/validation/column-name-validation/#count-equal","title":"Count Equal","text":"

Ensure column name count is equal to certain number.

JavaScala
validation().columnNames().countEqual(3)\n
validation.columnNames.countEqual(3)\n
"},{"location":"setup/validation/column-name-validation/#not-equal","title":"Not Equal","text":"

Ensure column name count is between two numbers.

JavaScala
validation().columnNames().countBetween(10, 12)\n
validation.columnNames.countBetween(10, 12)\n
"},{"location":"setup/validation/column-name-validation/#match-order","title":"Match Order","text":"

Ensure all column names match particular ordering and is complete.

JavaScala
validation().columnNames().matchOrder(\"account_id\", \"amount\", \"name\")\n
validation.columnNames.matchOrder(\"account_id\", \"amount\", \"name\")\n
"},{"location":"setup/validation/column-name-validation/#match-set","title":"Match Set","text":"

Ensure column names contains set of expected names. Order is not checked.

JavaScala
validation().columnNames().matchSet(\"account_id\", \"first_name\")\n
validation.columnNames.matchSet(\"account_id\", \"first_name\")\n
"},{"location":"setup/validation/external-source-validation/","title":"External Source Validations","text":"

Use validations that are defined in external sources such as Great Expectations or OpenMetadata. This allows you to generate data for your upstream data sources and validate your pipelines based on the same rules that would be applied in production.

Info

Retrieving data validations from an external source is a paid feature. Try the free trial here.

"},{"location":"setup/validation/external-source-validation/#supported-sources","title":"Supported Sources","text":"Source Support OpenMetadata Great Expectations DBT Constraints SodaCL MonteCarlo"},{"location":"setup/validation/external-source-validation/#openmetadata","title":"OpenMetadata","text":"

Use data quality rules defined from OpenMetadata to execute over dataset.

JavaScala
var jsonTask = json(\"my_json\", \"/opt/app/data/json\")\n    .validations(metadataSource().openMetadata(\n        \"http://host.docker.internal:8585/api\",\n        Constants.OPEN_METADATA_AUTH_TYPE_OPEN_METADATA(),\n        Map.of(\n                Constants.OPEN_METADATA_JWT_TOKEN(), \"abc123\",\n                Constants.OPEN_METADATA_TABLE_FQN(), \"sample_data.ecommerce_db.shopify.raw_customer\"\n        )\n    ));\n\nvar conf = configuration().enableGenerateValidations(true);\n
val jsonTask = json(\"my_json\", \"/opt/app/data/json\")\n  .validations(metadataSource.openMetadata(\n    \"http://host.docker.internal:8585/api\",\n    OPEN_METADATA_AUTH_TYPE_OPEN_METADATA,\n    Map(\n      OPEN_METADATA_JWT_TOKEN -> \"abc123\", //find under settings/bots/ingestion-bot/token\n      OPEN_METADATA_TABLE_FQN -> \"sample_data.ecommerce_db.shopify.raw_customer\"\n    )\n  ))\n\nval conf = configuration.enableGenerateValidations(true)\n
"},{"location":"setup/validation/external-source-validation/#great-expectations","title":"Great Expectations","text":"

Use data quality rules defined from OpenMetadata to execute over dataset.

JavaScala
var jsonTask = json(\"my_json\", \"/opt/app/data/json\")\n    .validations(metadataSource().greatExpectations(\"great-expectations/taxi-expectations.json\");\n\nvar conf = configuration().enableGenerateValidations(true);\n
val jsonTask = json(\"my_json\", \"/opt/app/data/json\")\n  .validations(metadataSource.greatExpectations(\"great-expectations/taxi-expectations.json\")\n\nval conf = configuration.enableGenerateValidations(true)\n
"},{"location":"setup/validation/group-by-validation/","title":"Group By Validation","text":"

If you want to run aggregations based on a particular set of columns or just the whole dataset, you can do so via group by validations. An example would be checking that the sum of amount is less than 1000 per account_id, year. The validations applied can be one of the validations from the basic validation set found here.

"},{"location":"setup/validation/group-by-validation/#pre-filter","title":"Pre-filter","text":"

If you want to only run the validation on a specific subset of data, you can define pre-filter conditions. Find more details here.

"},{"location":"setup/validation/group-by-validation/#record-count","title":"Record count","text":"

Check the number of records across the whole dataset.

JavaScala
validation().groupBy().count().lessThan(1000)\n
validation.groupBy().count().lessThan(1000)\n
"},{"location":"setup/validation/group-by-validation/#record-count-per-group","title":"Record count per group","text":"

Check the number of records for each group.

JavaScala
validation().groupBy(\"account_id\", \"year\").count().lessThan(10)\n
validation.groupBy(\"account_id\", \"year\").count().lessThan(10)\n
"},{"location":"setup/validation/group-by-validation/#sum","title":"Sum","text":"

Check the sum of a columns values for each group adheres to validation.

JavaScala
validation().groupBy(\"account_id\", \"year\").sum(\"amount\").lessThan(1000)\n
validation.groupBy(\"account_id\", \"year\").sum(\"amount\").lessThan(1000)\n
"},{"location":"setup/validation/group-by-validation/#count","title":"Count","text":"

Check the count for each group adheres to validation.

JavaScala
validation().groupBy(\"account_id\", \"year\").count(\"amount\").lessThan(10)\n
validation.groupBy(\"account_id\", \"year\").count(\"amount\").lessThan(10)\n
"},{"location":"setup/validation/group-by-validation/#min","title":"Min","text":"

Check the min for each group adheres to validation.

JavaScala
validation().groupBy(\"account_id\", \"year\").min(\"amount\").greaterThan(0)\n
validation.groupBy(\"account_id\", \"year\").min(\"amount\").greaterThan(0)\n
"},{"location":"setup/validation/group-by-validation/#max","title":"Max","text":"

Check the max for each group adheres to validation.

JavaScala
validation().groupBy(\"account_id\", \"year\").max(\"amount\").lessThanOrEqual(100)\n
validation.groupBy(\"account_id\", \"year\").max(\"amount\").lessThanOrEqual(100)\n
"},{"location":"setup/validation/group-by-validation/#average","title":"Average","text":"

Check the average for each group adheres to validation.

JavaScala
validation().groupBy(\"account_id\", \"year\").avg(\"amount\").between(40, 60)\n
validation.groupBy(\"account_id\", \"year\").avg(\"amount\").between(40, 60)\n
"},{"location":"setup/validation/group-by-validation/#standard-deviation","title":"Standard deviation","text":"

Check the standard deviation for each group adheres to validation.

JavaScala
validation().groupBy(\"account_id\", \"year\").stddev(\"amount\").between(0.5, 0.6)\n
validation.groupBy(\"account_id\", \"year\").stddev(\"amount\").between(0.5, 0.6)\n
"},{"location":"setup/validation/upstream-data-source-validation/","title":"Upstream Data Source Validation","text":"

If you want to run data validations based on data generated or data from another data source, you can use the upstream data source validations. An example would be generating a Parquet file that gets ingested by a job and inserted into Postgres. The validations can then check for each account_id generated in the Parquet, it exists in account_number column in Postgres. The validations can be chained with basic and group by validations or even other upstream data sources, to cover any complex validations.

"},{"location":"setup/validation/upstream-data-source-validation/#pre-filter","title":"Pre-filter","text":"

If you want to only run the validation on a specific subset of data, you can define pre-filter conditions. Find more details here.

"},{"location":"setup/validation/upstream-data-source-validation/#basic-join","title":"Basic join","text":"

Join across datasets by particular columns. Then run validations on the joined dataset. You will notice that the data source name is appended onto the column names when joined (i.e. my_first_json_customer_details), to ensure column names do not clash and make it obvious which columns are being validated.

In the below example, we check that the for the same account_id, then customer_details.name in the my_first_json dataset should equal to the name column in the my_second_json.

JavaScala
var firstJsonTask = json(\"my_first_json\", \"/tmp/data/first_json\")\n  .schema(\n    field().name(\"account_id\").regex(\"ACC[0-9]{8}\"),\n    field().name(\"customer_details\")\n      .schema(\n        field().name(\"name\").expression(\"#{Name.name}\")\n      )\n  );\n\nvar secondJsonTask = json(\"my_second_json\", \"/tmp/data/second_json\")\n  .validations(\n    validation().upstreamData(firstJsonTask)                   //upstream data generation task is `firstJsonTask`\n      .joinColumns(\"account_id\")                               //use `account_id` column in both datasets to join corresponding records (outer join by default)\n      .withValidation(\n        validation().col(\"my_first_json_customer_details.name\")\n          .isEqualCol(\"name\")                                  //validate the name in `my_second_json` is equal to `customer_details.name` in `my_first_json` when the `account_id` matches\n      )\n  );\n
val firstJsonTask = json(\"my_first_json\", \"/tmp/data/first_json\")\n  .schema(\n    field.name(\"account_id\").regex(\"ACC[0-9]{8}\"),\n    field.name(\"customer_details\")\n      .schema(\n        field.name(\"name\").expression(\"#{Name.name}\")\n      )\n  )\n\nval secondJsonTask = json(\"my_second_json\", \"/tmp/data/second_json\")\n  .validations(\n    validation.upstreamData(firstJsonTask)                   //upstream data generation task is `firstJsonTask`\n      .joinColumns(\"account_id\")                             //use `account_id` column in both datasets to join corresponding records (outer join by default)\n      .withValidation(\n        validation.col(\"my_first_json_customer_details.name\")\n          .isEqualCol(\"name\")                                //validate the name in `my_second_json` is equal to `customer_details.name` in `my_first_json` when the `account_id` matches\n      )\n  )\n
"},{"location":"setup/validation/upstream-data-source-validation/#join-expression","title":"Join expression","text":"

Define join expression to link two datasets together. This can be any SQL expression that returns a boolean value. Useful in situations where join is based on transformations or complex logic.

In the below example, we have to use CONCAT SQL function to combine 'ACC' and account_number to join with account_id column in my_first_json dataset.

JavaScala
var firstJsonTask = json(\"my_first_json\", \"/tmp/data/first_json\")\n  .schema(\n    field().name(\"account_id\").regex(\"ACC[0-9]{8}\"),\n    field().name(\"customer_details\")\n      .schema(\n        field().name(\"name\").expression(\"#{Name.name}\")\n      )\n  );\n\nvar secondJsonTask = json(\"my_second_json\", \"/tmp/data/second_json\")\n  .validations(\n    validation().upstreamData(firstJsonTask)\n      .joinExpr(\"my_first_json_account_id == CONCAT('ACC', account_number)\")  //generic SQL expression that returns a boolean\n      .withValidation(\n        validation().col(\"my_first_json_customer_details.name\")\n          .isEqualCol(\"name\")\n      )\n  );\n
val firstJsonTask = json(\"my_first_json\", \"/tmp/data/first_json\")\n  .schema(\n    field.name(\"account_id\").regex(\"ACC[0-9]{8}\"),\n    field.name(\"customer_details\")\n      .schema(\n        field.name(\"name\").expression(\"#{Name.name}\")\n      )\n  )\n\nval secondJsonTask = json(\"my_second_json\", \"/tmp/data/second_json\")\n  .validations(\n    validation.upstreamData(firstJsonTask)\n      .joinExpr(\"my_first_json_account_id == CONCAT('ACC', account_number)\")  //generic SQL expression that returns a boolean\n      .withValidation(\n        validation.col(\"my_first_json_customer_details.name\")\n          .isEqualCol(\"name\")\n      )\n  )\n
"},{"location":"setup/validation/upstream-data-source-validation/#different-join-type","title":"Different join type","text":"

By default, an outer join is used to gather columns from both datasets together for validation. But there may be scenarios where you want to control the join type.

Possible join types include:

  • inner
  • outer, full, fullouter, full_outer
  • leftouter, left, left_outer
  • rightouter, right, right_outer
  • leftsemi, left_semi, semi
  • leftanti, left_anti, anti
  • cross

In the example below, we do an anti join by column account_id and check if there are no records. This essentially checks that all account_id's from my_second_json exist in my_first_json. The second validation also does something similar but does an outer join (by default) and checks that the joined dataset has 30 records.

JavaScala
var firstJsonTask = json(\"my_first_json\", \"/tmp/data/first_json\")\n  .schema(\n    field().name(\"account_id\").regex(\"ACC[0-9]{8}\"),\n    field().name(\"customer_details\")\n      .schema(\n        field().name(\"name\").expression(\"#{Name.name}\")\n      )\n  );\n\nvar secondJsonTask = json(\"my_second_json\", \"/tmp/data/second_json\")\n  .validations(\n    validation().upstreamData(firstJsonTask)\n      .joinColumns(\"account_id\")\n      .joinType(\"anti\")\n      .withValidation(validation().count().isEqual(0)),\n    validation().upstreamData(firstJsonTask)\n      .joinColumns(\"account_id\")\n      .withValidation(validation().count().isEqual(30))\n  );\n
val firstJsonTask = json(\"my_first_json\", \"/tmp/data/first_json\")\n  .schema(\n    field.name(\"account_id\").regex(\"ACC[0-9]{8}\"),\n    field.name(\"customer_details\")\n      .schema(\n        field.name(\"name\").expression(\"#{Name.name}\")\n      )\n  )\n\nval secondJsonTask = json(\"my_second_json\", \"/tmp/data/second_json\")\n  .validations(\n    validation.upstreamData(firstJsonTask)\n      .joinColumns(\"account_id\")\n      .joinType(\"anti\")\n      .withValidation(validation.count().isEqual(0)),\n    validation.upstreamData(firstJsonTask)\n      .joinColumns(\"account_id\")\n      .withValidation(validation.count().isEqual(30))\n  )\n
"},{"location":"setup/validation/upstream-data-source-validation/#join-then-group-by-validation","title":"Join then group by validation","text":"

We can apply aggregate or group by validations to the resulting joined dataset as the withValidation method accepts any type of validation.

Here we group by account_id, my_first_json_balance to check that when the amount field is summed up per group, it is between 0.8 and 1.2 times the balance.

JavaScala
var firstJsonTask = json(\"my_first_json\", \"/tmp/data/first_json\")\n  .schema(\n    field().name(\"account_id\").regex(\"ACC[0-9]{8}\"),\n    field().name(\"balance\").type(DoubleType.instance()).min(10).max(1000),\n    field().name(\"customer_details\")\n      .schema(\n        field().name(\"name\").expression(\"#{Name.name}\")\n      )\n  );\n\nvar secondJsonTask = json(\"my_second_json\", \"/tmp/data/second_json\")\n  .validations(\n    validation().upstreamData(firstJsonTask).joinColumns(\"account_id\")\n      .withValidation(\n        validation().groupBy(\"account_id\", \"my_first_json_balance\")\n          .sum(\"amount\")\n          .betweenCol(\"my_first_json_balance * 0.8\", \"my_first_json_balance * 1.2\")\n      )\n  );\n
val firstJsonTask = json(\"my_first_json\", \"/tmp/data/first_json\")\n  .schema(\n    field.name(\"account_id\").regex(\"ACC[0-9]{8}\"),\n    field.name(\"balance\").`type`(DoubleType).min(10).max(1000),\n    field.name(\"customer_details\")\n      .schema(\n        field.name(\"name\").expression(\"#{Name.name}\")\n      )\n  )\n\nval secondJsonTask = json(\"my_second_json\", \"/tmp/data/second_json\")\n  .validations(\n    validation.upstreamData(firstJsonTask).joinColumns(\"account_id\")\n      .withValidation(\n        validation.groupBy(\"account_id\", \"my_first_json_balance\")\n          .sum(\"amount\")\n          .betweenCol(\"my_first_json_balance * 0.8\", \"my_first_json_balance * 1.2\")\n      )\n  )\n
"},{"location":"setup/validation/upstream-data-source-validation/#chained-validations","title":"Chained validations","text":"

Given that the withValidation method accepts any other type of validation, you can chain other upstream data sources with it. Here we will show a third upstream data source being checked to ensure 30 records exists after joining them together by account_id.

JavaScala
var firstJsonTask = json(\"my_first_json\", \"/tmp/data/first_json\")\n  .schema(\n    field().name(\"account_id\").regex(\"ACC[0-9]{8}\"),\n    field().name(\"balance\").type(DoubleType.instance()).min(10).max(1000),\n    field().name(\"customer_details\")\n      .schema(\n        field().name(\"name\").expression(\"#{Name.name}\")\n      )\n  )\n  .count(count().records(10));\n\nvar thirdJsonTask = json(\"my_third_json\", \"/tmp/data/third_json\")\n  .schema(\n    field().name(\"account_id\"),\n    field().name(\"amount\").type(IntegerType.instance()).min(1).max(100),\n    field().name(\"name\").expression(\"#{Name.name}\")\n  )\n  .count(count().records(10));\n\nvar secondJsonTask = json(\"my_second_json\", \"/tmp/data/second_json\")\n  .validations(\n    validation().upstreamData(firstJsonTask)\n      .joinColumns(\"account_id\")\n      .withValidation(\n        validation().upstreamData(thirdJsonTask)\n          .joinColumns(\"account_id\")\n          .withValidation(validation().count().isEqual(30))\n      )\n  );\n
val firstJsonTask = json(\"my_first_json\", \"/tmp/data/first_json\")\n  .schema(\n    field.name(\"account_id\").regex(\"ACC[0-9]{8}\"),\n    field.name(\"balance\").`type`(DoubleType).min(10).max(1000),\n    field.name(\"customer_details\")\n      .schema(\n        field.name(\"name\").expression(\"#{Name.name}\")\n      )\n  )\n  .count(count.records(10))\n\nval thirdJsonTask = json(\"my_third_json\", \"/tmp/data/third_json\")\n  .schema(\n    field.name(\"account_id\"),\n    field.name(\"amount\").`type`(IntegerType).min(1).max(100),\n    field.name(\"name\").expression(\"#{Name.name}\"),\n  )\n  .count(count.records(10))\n\nval secondJsonTask = json(\"my_second_json\", \"/tmp/data/second_json\")\n  .validations(\n    validation.upstreamData(firstJsonTask).joinColumns(\"account_id\")\n      .withValidation(\n        validation.groupBy(\"account_id\", \"my_first_json_balance\")\n          .sum(\"amount\")\n          .betweenCol(\"my_first_json_balance * 0.8\", \"my_first_json_balance * 1.2\")\n      ),\n  )\n

Can check out a full example here for more details.

"},{"location":"use-case/business-value/","title":"Business Value","text":"

Below is a list of the business related benefits from using Data Caterer which may be applicable for your use case.

Problem Data Caterer Solution Resources Effects Reliable test data creation - Profile existing data- Create scenarios- Generate data Software Engineers, QA, Testers Cost reduction in labor, more time spent on development, more bugs caught before production Faster development cycles - Generate data in local, test, UAT, pre-prod- Run different scenarios Software Engineers, QA, Testers More defects caught in lower environments, features pushed to production faster, common framework used across all environments Data compliance - Profiling existing data- Generate based on metadata- No complex masking- No production data used in lower environments Audit and compliance No chance for production data breaches Storage costs - Delete generated data- Test specific scenarios Infrastructure Lower data storage costs, less time spent on data management and clean up Schema evolution - Create metadata from data sources- Generate data based off fresh metadata Software Engineers, QA, Testers Less time spent altering tests due to schema changes, ease of use between environments and application versions"},{"location":"use-case/comparison/","title":"Comparison to similar tools","text":"

I have tried to include all the companies found in the list here from Mostly AI blog post and used information that is publicly available.

The companies/products not shown below either have:

  • a website with insufficient information about the technology side of data generation/validation
  • no/little documentation
  • don't have a free, no sign-up version of their app to use
"},{"location":"use-case/comparison/#data-generation","title":"Data Generation","text":"Tool Description Cost Pros Cons Data Catering Scala based data generation and validation tool via metadata Check all prices here, all in AUD$15 per month individual$200 per month <100 employees$500 per month 100-1,000 employees$2,000 per month >1,000 employees Data generation and validation Batch and event generation Maintain referential integrity Scala/Java SDK Customisable scenarios and validations Open core Metadata driven Report generation Use validation rules from existing tools Data clean up No UI No load testing metrics No alerting No validation of real time data sources Clearbox AI Python based data generation tool via ML Unclear Python SDK UI interface Detect private data Report generation Batch data only No data clean up Limited/no documentation Curiosity Software Platform solution for test data management Unclear Extensive documentation Generate data based off test cases UI interface Web/API/UI/mobile testing No quick start No SDK Many components that may not be required No event generation support DataCebo Synthetic Data Vault Python based data generation tool via ML Unclear Python SDK Report generation Data quality checks Business logic constraints No data connection support No data clean up No foreign key support Datafaker Realistic data generation library Free SDK for many languages Simple, easy to use Extensible Open source Generate realistic values No data connection support No data clean up No validation No foreign key support DBLDatagen Python based data generation tool Free Python SDK Open source Good documentation Customisable scenarios Customisable column generation Generate from existing data/schemas Plugin third-party libraries Limited support if issues Code required No data clean up No data validation Gatling HTTP API load testing tool Free (Open Source)Gatling Enterprise, usage based, starts from \u20ac89 per month, 1 user, 6.25 hours of testing Kotlin, Java & Scala SDK Widely used Open source Clear documentation Extensive testing/validation support Customisable scenarios Report generation Only supports HTTP, JMS and JDBC No data clean up Data feeders not based off metadata Gretel Python based data generation tool via ML Usage based, starts from $295 per month, $2.20 per credit, assumed USD CLI & Python SDK UI interface Training and re-use of models Detect private data Customisable scenarios Batch data only No relationships between data sources Only simple foreign key relations defined No data clean up Charge by usage Howso Python based data generation tool via ML Unclear Python SDK Playground to try Open source library Customisable scenarios No support for data sources No data validation No data clean up Mostly AI Python based data generation tool via ML Usage based, Enterprise 1 user, 100 columns, 100K rows $3,100 per month, assumed USD Report generation Non-technical users can use UI Customisable scenarios Charge by usage Batch data only No data clean up Confusing use of 'smart select' for multiple foreign keys Limited custom column generation logic Multiple deployment components No SDK Octopize Python based data generation tool via ML Unclear Python & R SDK Report generation API for metadata Customisable scenarios Input data source is only CSV Multiple manual steps before starting Quickstart is not a quickstart Documentation lacks code examples Synthesized Python based data generation tool via ML Unclear CLI & Python SDK API for metadata IDE setup Data quality checks Not sure what is SDK & TDK Charge by usage No report of what was generated No relationships between data sources Tonic Platform solution for generating data Unclear UI interface Good documentation Detect private data Support for encrypted columns Report generation Alerting Batch data only Multiple deployment components No relationships between data sources No data validation No data clean up No SDK (only API) Difficult to embed complex business logic YData Python based data generation tool via ML. Platform solution as well Unclear Python SDK Open source Detect private data Compare datasets Report generation No data connection support Batch data only No data clean up Separate data generation and data validation No foreign key support"},{"location":"use-case/comparison/#use-of-ml-models","title":"Use of ML models","text":"

You may notice that the majority of data generators use machine learning (ML) models to learn from your existing datasets to generate new data. Below are some pros and cons to the approach.

Pros

  • Simple setup
  • Ability to reproduce complex logic
  • Flexible to accept all types of data

Cons

  • Long time for model learning
  • Black box of logic
  • Maintain, store and update of ML models
  • Restriction on input data lengths
  • May not maintain referential integrity
  • Require deeper understanding of ML models for fine-tuning
  • Accuracy may be worse than non-ML models
"},{"location":"use-case/roadmap/","title":"Roadmap","text":"

Items below summarise the roadmap of Data Caterer. As each task gets completed, it will be documented and linked.

Feature Description Sub Tasks Data source support Batch or real time data sources that can be added to Data Caterer. Support data sources that users want - AWS, GCP and Azure related data services ( cloud storage)- Delta Lake- Iceberg- RabbitMQ- ActiveMQ- MongoDB- Elasticsearch- Snowflake- Databricks- Pulsar Metadata discovery Allow for schema and data profiling from external metadata sources - HTTP (OpenAPI spec)- JMS- Read from samples- OpenLineage metadata (Marquez)- OpenMetadata- ODCS (Open Data Contract Standard)- Amundsen- Datahub- Solace Event Portal- Airflow- DBT- Manually insert create table statement from UI Developer API Scala/Java interface for developers/testers to create data generation and validation tasks - Scala- Java Report generation Generate a report that summarises the data generation or validation results - Report for data generated and validation rules UI portal Allow users to access a UI to input data generation or validation tasks. Also be able to view report results - Base UI with create, edit and delete plan, connections and history- Run on Mac, Linux and Windows- Metadata stored in database- Store data generation/validation run information in file/database- Preview of generated data- Additional dialog to confirm delete and execute plan Integration with data validation tools Derive data validation rules from existing data validation tools - Great Expectation- DBT constraints- SodaCL- MonteCarlo- OpenMetadata Data validation rule suggestions Based on metadata, generate data validation rules appropriate for the dataset - Suggest basic data validations (yet to document) Wait conditions before data validation Define certain conditions to be met before starting data validations - Webhook- File exists- Data exists via SQL expression- Pause Validation types Ability to define simple/complex data validations - Basic validations- Aggregates (sum of amount per account is > 500)- Ordering (transactions are ordered by date)- Relationship (at least one account entry in history table per account in accounts table)- Data profile (how close the generated data profile is compared to the expected data profile)- Column name (check column count, column names, ordering)- Pre-conditions before validating data Data generation record count Generate scenarios where there are one to many, many to many situations relating to record count. Also ability to cover all edge cases or scenarios - Cover all possible cases (i.e. record for each combination of oneOf values, positive/negative values, pairwise etc.)- Ability to override edge cases Alerting When tasks have completed, ability to define alerts based on certain conditions - Slack- Email Metadata enhancements Based on data profiling or inference, can add to existing metadata - PII detection (can integrate with Presidio)- Relationship detection across data sources- SQL generation- Ordering information Data cleanup Ability to clean up generated data - Clean up generated data- Clean up data in consumer data sinks- Clean up data from real time sources (i.e. DELETE HTTP endpoint, delete events in JMS) Trial version Trial version of the full app for users to test out all the features - Trial app to try out all features Code generation Based on metadata or existing classes, code for data generation and validation could be generated - Code generation- Schema generation from Scala/Java class Real time response data validations Ability to define data validations based on the response from real time data sources (e.g. HTTP response) - HTTP response data validation"},{"location":"use-case/blog/shift-left-data-quality/","title":"Shifting Data Quality Left with Data Catering","text":""},{"location":"use-case/blog/shift-left-data-quality/#empowering-proactive-data-management","title":"Empowering Proactive Data Management","text":"

In the ever-evolving landscape of data-driven decision-making, ensuring data quality is non-negotiable. Traditionally, data quality has been a concern addressed late in the development lifecycle, often leading to reactive measures and increased costs. However, a paradigm shift is underway with the adoption of a \"shift left\" approach, placing data quality at the forefront of the development process.

"},{"location":"use-case/blog/shift-left-data-quality/#today","title":"Today","text":"
graph LR\n  subgraph badQualityData[<b>Manually generated data, limited data scenarios, fragmented testing tools</b>]\n  local[<b>Local</b>\\nManual test, unit test]\n  dev[<b>Dev</b>\\nManual test, integration test]\n  stg[<b>Staging</b>\\nSanity checks]\n  end\n\n  subgraph qualityData[<b>Reliable data, the true test</b>]\n  prod[<b>Production</b>\\nData quality checks, monitoring, observaibility]\n  end\n\n  style badQualityData fill:#d9534f,fill-opacity:0.7\n  style qualityData fill:#5cb85c,fill-opacity:0.7\n\n  local --> dev\n  dev --> stg\n  stg --> prod
"},{"location":"use-case/blog/shift-left-data-quality/#with-data-caterer","title":"With Data Caterer","text":"
graph LR\n  subgraph qualityData[<b>Reliable data anywhere, common testing tool across all data sources</b>]\n  direction LR\n  local[<b>Local</b>\\nManual test, unit test]\n  dev[<b>Dev</b>\\nManual test, integration test]\n  stg[<b>Staging</b>\\nSanity checks]\n  prod[<b>Production</b>\\nData quality checks, monitoring, observaibility]\n  end\n\n  style qualityData fill:#5cb85c,fill-opacity:0.7\n\n  local --> dev\n  dev --> stg\n  stg --> prod
"},{"location":"use-case/blog/shift-left-data-quality/#understanding-the-shift-left-approach","title":"Understanding the Shift Left Approach","text":"

\"Shift left\" is a philosophy that advocates for addressing tasks and concerns earlier in the development lifecycle. Applied to data quality, it means tackling data issues as early as possible, ideally during the development and testing phases. This approach aims to catch data anomalies, inaccuracies, or inconsistencies before they propagate through the system, reducing the likelihood of downstream errors.

"},{"location":"use-case/blog/shift-left-data-quality/#data-caterer-the-catalyst-for-shifting-left","title":"Data Caterer: The Catalyst for Shifting Left","text":"

Enter Data Caterer, a metadata-driven data generation and validation tool designed to empower organizations in shifting data quality left. By incorporating Data Caterer into the early stages of development, teams can proactively test complex data flows, validate data sources, and ensure data quality before it reaches downstream processes.

"},{"location":"use-case/blog/shift-left-data-quality/#key-advantages-of-shifting-data-quality-left-with-data-caterer","title":"Key Advantages of Shifting Data Quality Left with Data Caterer","text":"
  1. Early Issue Detection
    • Identify data quality issues early in the development process, reducing the risk of errors downstream.
  2. Proactive Validation
    • Create production-like data scenarios, validate sources and complex flows with simplicity, promoting proactive data quality.
  3. Efficient Testing Across Sources
    • Seamlessly test data across various sources, including databases, file formats, HTTP, and messaging, all within your local laptop or development environment.
    • Fast feedback loop to motivate developers to ensure thorough testing of data consumers.
  4. Integration with Development Pipelines
    • Easily integrate Data Caterer as a task in your development pipelines, ensuring that data quality is a continuous consideration rather than an isolated event.
  5. Integration with Existing Metadata
    • By harnessing the power of existing metadata from data catalogs, schema registries, or other data validation tools, Data Caterer streamlines the process, automating the generation and validation of your data effortlessly.
  6. Improved Collaboration
    • Facilitate collaboration between developers, testers, and data professionals by providing a common platform for early data validation.
"},{"location":"use-case/blog/shift-left-data-quality/#realizing-the-vision-of-proactive-data-quality","title":"Realizing the Vision of Proactive Data Quality","text":"

As organizations strive for excellence in their data-driven endeavors, the shift left approach with Data Caterer becomes a strategic imperative. By instilling a proactive data quality culture, teams can minimize the risk of costly errors, enhance the reliability of their data, and streamline the entire development lifecycle.

In conclusion, the marriage of the shift left philosophy and Data Caterer brings forth a new era of data management, where data quality is not just a final checkpoint but an integral part of every development milestone. Embrace the shift left approach with Data Caterer and empower your teams to build robust, high-quality data solutions from the very beginning.

Shift Left, Validate Early, and Accelerate with Data Caterer.

"}]} \ No newline at end of file diff --git a/setup/advanced/index.html b/setup/advanced/index.html new file mode 100644 index 00000000..4e70c3bd --- /dev/null +++ b/setup/advanced/index.html @@ -0,0 +1,3386 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + Advanced - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Advanced use cases

+

Special data formats

+

There are many options available for you to use when you have a scenario when data has to be a certain format.

+
    +
  1. Create expression datafaker
      +
    1. Can be used to create names, addresses, or anything that can be found + under here
    2. +
    +
  2. +
  3. Create regex
  4. +
+

Foreign keys across data sets

+

Multiple data source foreign key example

+

Details for how you can configure foreign keys can be found here.

+

Edge cases

+

For each given data type, there are edge cases which can cause issues when your application processes the data. +This can be controlled at a column level by including the following flag in the generator options:

+
+
+
+
field()
+  .name("amount")
+  .type(DoubleType.instance())
+  .enableEdgeCases(true)
+  .edgeCaseProbability(0.1)
+
+
+
+
field
+  .name("amount")
+  .`type`(DoubleType)
+  .enableEdgeCases(true)
+  .edgeCaseProbability(0.1)
+
+
+
+
fields:
+  - name: "amount"
+    type: "double"
+    generator:
+      type: "random"
+      options:
+        enableEdgeCases: "true"
+        edgeCaseProb: 0.1
+
+
+
+
+

If you want to know all the possible edge cases for each data +type, can check the documentation here.

+

Scenario testing

+

You can create specific scenarios by adjusting the metadata found in the plan and tasks to your liking.
+For example, if you had two data sources, a Postgres database and a parquet file, and you wanted to save account data +into Postgres and transactions related to those accounts into a parquet file. +You can alter the status column in the account data to only generate open accounts +and define a foreign key between Postgres and parquet to ensure the same account_id is being used.
+Then in the parquet task, define 1 to 10 transactions per account_id to be generated.

+

Postgres account generation example task
+Parquet transaction generation example task
+Plan

+

Cloud storage

+

Data source

+

If you want to save the file types CSV, JSON, Parquet or ORC into cloud storage, you can do so via adding extra +configurations. Below is an example for S3.

+
+
+
+
var csvTask = csv("my_csv", "s3a://my-bucket/csv/accounts")
+  .schema(
+    field().name("account_id"),
+    ...
+  );
+
+var s3Configuration = configuration()
+  .runtimeConfig(Map.of(
+    "spark.hadoop.fs.s3a.directory.marker.retention", "keep",
+    "spark.hadoop.fs.s3a.bucket.all.committer.magic.enabled", "true",
+    "spark.hadoop.fs.defaultFS", "s3a://my-bucket",
+    //can change to other credential providers as shown here
+    //https://hadoop.apache.org/docs/stable/hadoop-aws/tools/hadoop-aws/index.html#Changing_Authentication_Providers
+    "spark.hadoop.fs.s3a.aws.credentials.provider", "org.apache.hadoop.fs.s3a.SimpleAWSCredentialsProvider",
+    "spark.hadoop.fs.s3a.access.key", "access_key",
+    "spark.hadoop.fs.s3a.secret.key", "secret_key"
+  ));
+
+execute(s3Configuration, csvTask);
+
+
+
+
val csvTask = csv("my_csv", "s3a://my-bucket/csv/accounts")
+  .schema(
+    field.name("account_id"),
+    ...
+  )
+
+val s3Configuration = configuration
+  .runtimeConfig(Map(
+    "spark.hadoop.fs.s3a.directory.marker.retention" -> "keep",
+    "spark.hadoop.fs.s3a.bucket.all.committer.magic.enabled" -> "true",
+    "spark.hadoop.fs.defaultFS" -> "s3a://my-bucket",
+    //can change to other credential providers as shown here
+    //https://hadoop.apache.org/docs/stable/hadoop-aws/tools/hadoop-aws/index.html#Changing_Authentication_Providers
+    "spark.hadoop.fs.s3a.aws.credentials.provider" -> "org.apache.hadoop.fs.s3a.SimpleAWSCredentialsProvider",
+    "spark.hadoop.fs.s3a.access.key" -> "access_key",
+    "spark.hadoop.fs.s3a.secret.key" -> "secret_key"
+  ))
+
+execute(s3Configuration, csvTask)
+
+
+
+
folders {
+   generatedPlanAndTaskFolderPath = "s3a://my-bucket/data-caterer/generated"
+   planFilePath = "s3a://my-bucket/data-caterer/generated/plan/customer-create-plan.yaml"
+   taskFolderPath = "s3a://my-bucket/data-caterer/generated/task"
+}
+
+runtime {
+    config {
+        ...
+        #S3
+        "spark.hadoop.fs.s3a.directory.marker.retention" = "keep"
+        "spark.hadoop.fs.s3a.bucket.all.committer.magic.enabled" = "true"
+        "spark.hadoop.fs.defaultFS" = "s3a://my-bucket"
+        #can change to other credential providers as shown here
+        #https://hadoop.apache.org/docs/stable/hadoop-aws/tools/hadoop-aws/index.html#Changing_Authentication_Providers
+        "spark.hadoop.fs.s3a.aws.credentials.provider" = "org.apache.hadoop.fs.s3a.SimpleAWSCredentialsProvider"
+        "spark.hadoop.fs.s3a.access.key" = "access_key"
+        "spark.hadoop.fs.s3a.secret.key" = "secret_key"
+   }
+}
+
+
+
+
+

Storing plan/task(s)

+

You can generate and store the plan/task files inside either AWS S3, Azure Blob Storage or Google GCS. +This can be controlled via configuration set in the application.conf file where you can set something like the below:

+
+
+
+
configuration()
+  .generatedReportsFolderPath("s3a://my-bucket/data-caterer/generated")
+  .planFilePath("s3a://my-bucket/data-caterer/generated/plan/customer-create-plan.yaml")
+  .taskFolderPath("s3a://my-bucket/data-caterer/generated/task")
+  .runtimeConfig(Map.of(
+    "spark.hadoop.fs.s3a.directory.marker.retention", "keep",
+    "spark.hadoop.fs.s3a.bucket.all.committer.magic.enabled", "true",
+    "spark.hadoop.fs.defaultFS", "s3a://my-bucket",
+    //can change to other credential providers as shown here
+    //https://hadoop.apache.org/docs/stable/hadoop-aws/tools/hadoop-aws/index.html#Changing_Authentication_Providers
+    "spark.hadoop.fs.s3a.aws.credentials.provider", "org.apache.hadoop.fs.s3a.SimpleAWSCredentialsProvider",
+    "spark.hadoop.fs.s3a.access.key", "access_key",
+    "spark.hadoop.fs.s3a.secret.key", "secret_key"
+  ));
+
+
+
+
configuration
+  .generatedReportsFolderPath("s3a://my-bucket/data-caterer/generated")
+  .planFilePath("s3a://my-bucket/data-caterer/generated/plan/customer-create-plan.yaml")
+  .taskFolderPath("s3a://my-bucket/data-caterer/generated/task")
+  .runtimeConfig(Map(
+    "spark.hadoop.fs.s3a.directory.marker.retention" -> "keep",
+    "spark.hadoop.fs.s3a.bucket.all.committer.magic.enabled" -> "true",
+    "spark.hadoop.fs.defaultFS" -> "s3a://my-bucket",
+    //can change to other credential providers as shown here
+    //https://hadoop.apache.org/docs/stable/hadoop-aws/tools/hadoop-aws/index.html#Changing_Authentication_Providers
+    "spark.hadoop.fs.s3a.aws.credentials.provider" -> "org.apache.hadoop.fs.s3a.SimpleAWSCredentialsProvider",
+    "spark.hadoop.fs.s3a.access.key" -> "access_key",
+    "spark.hadoop.fs.s3a.secret.key" -> "secret_key"
+  ))
+
+
+
+
folders {
+   generatedPlanAndTaskFolderPath = "s3a://my-bucket/data-caterer/generated"
+   planFilePath = "s3a://my-bucket/data-caterer/generated/plan/customer-create-plan.yaml"
+   taskFolderPath = "s3a://my-bucket/data-caterer/generated/task"
+}
+
+runtime {
+    config {
+        ...
+        #S3
+        "spark.hadoop.fs.s3a.directory.marker.retention" = "keep"
+        "spark.hadoop.fs.s3a.bucket.all.committer.magic.enabled" = "true"
+        "spark.hadoop.fs.defaultFS" = "s3a://my-bucket"
+        #can change to other credential providers as shown here
+        #https://hadoop.apache.org/docs/stable/hadoop-aws/tools/hadoop-aws/index.html#Changing_Authentication_Providers
+        "spark.hadoop.fs.s3a.aws.credentials.provider" = "org.apache.hadoop.fs.s3a.SimpleAWSCredentialsProvider"
+        "spark.hadoop.fs.s3a.access.key" = "access_key"
+        "spark.hadoop.fs.s3a.secret.key" = "secret_key"
+   }
+}
+
+
+
+
+ + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/configuration/index.html b/setup/configuration/index.html new file mode 100644 index 00000000..5ead1585 --- /dev/null +++ b/setup/configuration/index.html @@ -0,0 +1,3654 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Configurations - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Configuration

+

A number of configurations can be made and customised within Data Caterer to help control what gets run and/or where any +metadata gets saved.

+

These configurations are defined from within your Java or Scala class via configuration or for YAML file setup, +application.conf file as seen +here.

+

Flags

+

Flags are used to control which processes are executed when you run Data Caterer.

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
ConfigDefaultPaidDescription
enableGenerateDatatrueNEnable/disable data generation
enableCounttrueNCount the number of records generated. Can be disabled to improve performance
enableFailOnErrortrueNWhilst saving generated data, if there is an error, it will stop any further data from being generated
enableSaveReportstrueNEnable/disable HTML reports summarising data generated, metadata of data generated (if enableSinkMetadata is enabled) and validation results (if enableValidation is enabled). Sample here
enableSinkMetadatatrueNRun data profiling for the generated data. Shown in HTML reports if enableSaveSinkMetadata is enabled
enableValidationfalseNRun validations as described in plan. Results can be viewed from logs or from HTML report if enableSaveSinkMetadata is enabled. Sample here
enableUniqueCheckfalseNIf enabled, for any isUnique fields, will ensure only unique values are generated
enableAlertstrueNEnable/disable alerts to be sent
enableGeneratePlanAndTasksfalseYEnable/disable plan and task auto generation based off data source connections
enableRecordTrackingfalseYEnable/disable which data records have been generated for any data source
enableDeleteGeneratedRecordsfalseYDelete all generated records based off record tracking (if enableRecordTracking has been set to true)
enableGenerateValidationsfalseYIf enabled, it will generate validations based on the data sources defined.
+
+
+
+
configuration()
+  .enableGenerateData(true)
+  .enableCount(true)
+  .enableFailOnError(true)
+  .enableSaveReports(true)
+  .enableSinkMetadata(true)
+  .enableValidation(false)
+  .enableUniqueCheck(true)
+  .enableAlerts(true)
+  .enableGeneratePlanAndTasks(false)
+  .enableRecordTracking(false)
+  .enableDeleteGeneratedRecords(false)
+  .enableGenerateValidations(false);
+
+
+
+
configuration
+  .enableGenerateData(true)
+  .enableCount(true)
+  .enableFailOnError(true)
+  .enableSaveReports(true)
+  .enableSinkMetadata(true)
+  .enableValidation(false)
+  .enableUniqueCheck(true)
+  .enableAlerts(true)
+  .enableGeneratePlanAndTasks(false)
+  .enableRecordTracking(false)
+  .enableDeleteGeneratedRecords(false)
+  .enableGenerateValidations(false)
+
+
+
+
flags {
+  enableCount = false
+  enableCount = ${?ENABLE_COUNT}
+  enableGenerateData = true
+  enableGenerateData = ${?ENABLE_GENERATE_DATA}
+  enableFailOnError = true
+  enableFailOnError = ${?ENABLE_FAIL_ON_ERROR}
+  enableGeneratePlanAndTasks = false
+  enableGeneratePlanAndTasks = ${?ENABLE_GENERATE_PLAN_AND_TASKS}
+  enableRecordTracking = false
+  enableRecordTracking = ${?ENABLE_RECORD_TRACKING}
+  enableDeleteGeneratedRecords = false
+  enableDeleteGeneratedRecords = ${?ENABLE_DELETE_GENERATED_RECORDS}
+  enableUniqueCheck = true
+  enableUniqueCheck = ${?ENABLE_UNIQUE_CHECK}
+  enableSinkMetadata = true
+  enableSinkMetadata = ${?ENABLE_SINK_METADATA}
+  enableSaveReports = true
+  enableSaveReports = ${?ENABLE_SAVE_REPORTS}
+  enableValidation = false
+  enableValidation = ${?ENABLE_VALIDATION}
+  enableGenerateValidations = false
+  enableGenerateValidations = ${?ENABLE_GENERATE_VALIDATIONS}
+  enableAlerts = false
+  enableAlerts = ${?ENABLE_ALERTS}
+}
+
+
+
+
+

Folders

+

Depending on which flags are enabled, there are folders that get used to save metadata, store HTML reports or track the +records generated.

+

These folder pathways can be defined as a cloud storage pathway (i.e. s3a://my-bucket/task).

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
ConfigDefaultPaidDescription
planFilePath/opt/app/plan/customer-create-plan.yamlNPlan file path to use when generating and/or validating data
taskFolderPath/opt/app/taskNTask folder path that contains all the task files (can have nested directories)
validationFolderPath/opt/app/validationNValidation folder path that contains all the validation files (can have nested directories)
generatedReportsFolderPath/opt/app/reportNWhere HTML reports get generated that contain information about data generated along with any validations performed
generatedPlanAndTaskFolderPath/tmpYFolder path where generated plan and task files will be saved
recordTrackingFolderPath/opt/app/record-trackingYWhere record tracking parquet files get saved
recordTrackingForValidationFolderPath/opt/app/record-tracking-validationYWhere record tracking parquet files get saved for the purpose of validation
+
+
+
+
configuration()
+  .planFilePath("/opt/app/custom/plan/postgres-plan.yaml")
+  .taskFolderPath("/opt/app/custom/task")
+  .validationFolderPath("/opt/app/custom/validation")
+  .generatedReportsFolderPath("/opt/app/custom/report")
+  .generatedPlanAndTaskFolderPath("/opt/app/custom/generated")
+  .recordTrackingFolderPath("/opt/app/custom/record-tracking")
+  .recordTrackingForValidationFolderPath("/opt/app/custom/record-tracking-validation");
+
+
+
+
configuration
+  .planFilePath("/opt/app/custom/plan/postgres-plan.yaml")
+  .taskFolderPath("/opt/app/custom/task")
+  .validationFolderPath("/opt/app/custom/validation")
+  .generatedReportsFolderPath("/opt/app/custom/report")
+  .generatedPlanAndTaskFolderPath("/opt/app/custom/generated")
+  .recordTrackingFolderPath("/opt/app/custom/record-tracking")
+  .recordTrackingForValidationFolderPath("/opt/app/custom/record-tracking-validation")
+
+
+
+
folders {
+  planFilePath = "/opt/app/custom/plan/postgres-plan.yaml"
+  planFilePath = ${?PLAN_FILE_PATH}
+  taskFolderPath = "/opt/app/custom/task"
+  taskFolderPath = ${?TASK_FOLDER_PATH}
+  validationFolderPath = "/opt/app/custom/validation"
+  validationFolderPath = ${?VALIDATION_FOLDER_PATH}
+  generatedReportsFolderPath = "/opt/app/custom/report"
+  generatedReportsFolderPath = ${?GENERATED_REPORTS_FOLDER_PATH}
+  generatedPlanAndTaskFolderPath = "/opt/app/custom/generated"
+  generatedPlanAndTaskFolderPath = ${?GENERATED_PLAN_AND_TASK_FOLDER_PATH}
+  recordTrackingFolderPath = "/opt/app/custom/record-tracking"
+  recordTrackingFolderPath = ${?RECORD_TRACKING_FOLDER_PATH}
+  recordTrackingForValidationFolderPath = "/opt/app/custom/record-tracking-validation"
+  recordTrackingForValidationFolderPath = ${?RECORD_TRACKING_VALIDATION_FOLDER_PATH}
+}
+
+
+
+
+

Metadata

+

When metadata gets generated, there are some configurations that can be altered to help with performance or accuracy +related issues. +Metadata gets generated from two processes: 1) if enableGeneratePlanAndTasks or 2) if enableSinkMetadata are +enabled.

+

During the generation of plan and tasks, data profiling is used to create the metadata for each of the fields defined in +the data source. +You may face issues if the number of records in the data source is large as data profiling is an expensive task. +Similarly, it can be expensive +when analysing the generated data if the number of records generated is large.

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
ConfigDefaultPaidDescription
numRecordsFromDataSource10000YNumber of records read in from the data source that could be used for data profiling
numRecordsForAnalysis10000YNumber of records used for data profiling from the records gathered in numRecordsFromDataSource
oneOfMinCount1000YMinimum number of records required before considering if a field can be of type oneOf
oneOfDistinctCountVsCountThreshold0.2YThreshold ratio to determine if a field is of type oneOf (i.e. a field called status that only contains open or closed. Distinct count = 2, total count = 10, ratio = 2 / 10 = 0.2 therefore marked as oneOf)
numGeneratedSamples10NNumber of sample records from generated data to take. Shown in HTML report
+
+
+
+
configuration()
+  .numRecordsFromDataSourceForDataProfiling(10000)
+  .numRecordsForAnalysisForDataProfiling(10000)
+  .oneOfMinCount(1000)
+  .oneOfDistinctCountVsCountThreshold(1000)
+  .numGeneratedSamples(10);
+
+
+
+
configuration
+  .numRecordsFromDataSourceForDataProfiling(10000)
+  .numRecordsForAnalysisForDataProfiling(10000)
+  .oneOfMinCount(1000)
+  .oneOfDistinctCountVsCountThreshold(1000)
+  .numGeneratedSamples(10)
+
+
+
+
metadata {
+  numRecordsFromDataSource = 10000
+  numRecordsForAnalysis = 10000
+  oneOfMinCount = 1000
+  oneOfDistinctCountVsCountThreshold = 0.2
+  numGeneratedSamples = 10
+}
+
+
+
+
+

Generation

+

When generating data, you may have some limitations such as limited CPU or memory, large number of data sources, or data +sources prone to failure under load. +To help alleviate these issues or speed up performance, you can control the number of records that get generated in each +batch.

+ + + + + + + + + + + + + + + + + + + + + + + +
ConfigDefaultPaidDescription
numRecordsPerBatch100000NNumber of records across all data sources to generate per batch
numRecordsPerStepNOverrides the count defined in each step with this value if defined (i.e. if set to 1000, for each step, 1000 records will be generated)
+
+
+
+
configuration()
+  .numRecordsPerBatch(100000)
+  .numRecordsPerStep(1000);
+
+
+
+
configuration
+  .numRecordsPerBatch(100000)
+  .numRecordsPerStep(1000)
+
+
+
+
generation {
+  numRecordsPerBatch = 100000
+  numRecordsPerStep = 1000
+}
+
+
+
+
+

Validation

+

Configurations to alter how validations are executed.

+ + + + + + + + + + + + + + + + + + + + + + + +
ConfigDefaultPaidDescription
numSampleErrorRecords5NNumber of error sample records to retrieve and display in generated HTML report. Increase to help debugging data issues
enableDeleteRecordTrackingFilestrueYAfter validations are complete, delete record tracking files that were used for validation purposes (enabled via enableRecordTracking)
+
+
+
+
configuration()
+  .numSampleErrorRecords(10)
+  .enableDeleteRecordTrackingFiles(false);
+
+
+
+
configuration
+  .numSampleErrorRecords(10)
+  .enableDeleteRecordTrackingFiles(false)
+
+
+
+
validatoin {
+  numSampleErrorRecords = 10
+  enableDeleteRecordTrackingFiles = false
+}
+
+
+
+
+

Runtime

+

Given Data Caterer uses Spark as the base framework for data processing, you can configure the job as to your +specifications via configuration as seen here.

+
+
+
+
configuration()
+  .master("local[*]")
+  .runtimeConfig(Map.of("spark.driver.cores", "5"))
+  .addRuntimeConfig("spark.driver.memory", "10g");
+
+
+
+
configuration
+  .master("local[*]")
+  .runtimeConfig(Map("spark.driver.cores" -> "5"))
+  .addRuntimeConfig("spark.driver.memory" -> "10g")
+
+
+
+
runtime {
+  master = "local[*]"
+  master = ${?DATA_CATERER_MASTER}
+  config {
+    "spark.driver.cores" = "5"
+    "spark.driver.memory" = "10g"
+  }
+}
+
+
+
+
+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/connection/index.html b/setup/connection/index.html new file mode 100644 index 00000000..39bffce4 --- /dev/null +++ b/setup/connection/index.html @@ -0,0 +1,4045 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Data source connections - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Data Source Connections

+

Details of all the connection configuration supported can be found in the below subsections for each type of connection.

+

These configurations can be done via API or from configuration. Examples of both are shown for each data source below.

+

Supported Data Connections

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Data Source TypeData SourceSupportFree
Cloud StorageAWS S3✅✅
Cloud StorageAzure Blob Storage✅✅
Cloud StorageGCP Cloud Storage✅✅
DatabaseCassandra✅✅
DatabaseMySQL✅✅
DatabasePostgres✅✅
DatabaseElasticsearch✅
DatabaseMongoDB✅
DatabaseOpensearch✅
FileCSV✅✅
FileDelta Lake✅✅
FileIceberg✅✅
FileJSON✅✅
FileORC✅✅
FileParquet✅✅
FileHudi✅
HTTPREST API✅
MessagingKafka✅
MessagingSolace✅
MessagingActiveMQ
MessagingPulsar
MessagingRabbitMQ
MetadataGreat Expectations✅
MetadataMarquez✅
MetadataOpenMetadata✅
MetadataOpenAPI/Swagger✅
MetadataAmundsen
MetadataDatahub
MetadataSolace Event Portal
+

API

+

All connection details require a name. Depending on the data source, you can define additional options which may be used +by the driver or connector for connecting to the data source.

+

Configuration file

+

All connection details follow the same pattern.

+
<connection format> {
+    <connection name> {
+        <key> = <value>
+    }
+}
+
+
+

Overriding configuration

+

When defining a configuration value that can be defined by a system property or environment variable at runtime, you can +define that via the following:

+
url = "localhost"
+url = ${?POSTGRES_URL}
+
+

The above defines that if there is a system property or environment variable named POSTGRES_URL, then that value will +be used for the url, otherwise, it will default to localhost.

+
+

Data sources

+

To find examples of a task for each type of data source, please check out this page.

+

File

+

Linked here is a list of generic options +that can be included as part of your file data source configuration if required. Links to specific file type +configurations can be found below.

+

CSV

+
+
+
+
csv("customer_transactions", "/data/customer/transaction")
+
+
+
+
csv("customer_transactions", "/data/customer/transaction")
+
+
+
+

In application.conf: +

csv {
+  customer_transactions {
+    path = "/data/customer/transaction"
+    path = ${?CSV_PATH}
+  }
+}
+

+
+
+
+

Other available configuration for CSV can be found here

+

JSON

+
+
+
+
json("customer_transactions", "/data/customer/transaction")
+
+
+
+
json("customer_transactions", "/data/customer/transaction")
+
+
+
+

In application.conf: +

json {
+  customer_transactions {
+    path = "/data/customer/transaction"
+    path = ${?JSON_PATH}
+  }
+}
+

+
+
+
+

Other available configuration for JSON can be found here

+

ORC

+
+
+
+
orc("customer_transactions", "/data/customer/transaction")
+
+
+
+
orc("customer_transactions", "/data/customer/transaction")
+
+
+
+

In application.conf: +

orc {
+  customer_transactions {
+    path = "/data/customer/transaction"
+    path = ${?ORC_PATH}
+  }
+}
+

+
+
+
+

Other available configuration for ORC can be found here

+

Parquet

+
+
+
+
parquet("customer_transactions", "/data/customer/transaction")
+
+
+
+
parquet("customer_transactions", "/data/customer/transaction")
+
+
+
+

In application.conf: +

parquet {
+  customer_transactions {
+    path = "/data/customer/transaction"
+    path = ${?PARQUET_PATH}
+  }
+}
+

+
+
+
+

Other available configuration for Parquet can be found here

+

Delta

+
+
+
+
delta("customer_transactions", "/data/customer/transaction")
+
+
+
+
delta("customer_transactions", "/data/customer/transaction")
+
+
+
+

In application.conf: +

delta {
+  customer_transactions {
+    path = "/data/customer/transaction"
+    path = ${?DELTA_PATH}
+  }
+}
+

+
+
+
+

Iceberg

+
+
+
+
iceberg(
+  "customer_accounts",              //name
+  "account.accounts",               //table name
+  "/opt/app/data/customer/iceberg", //warehouse path
+  "hadoop",                         //catalog type
+  "",                               //catalogUri
+  Map.of()                          //additional options
+);
+
+
+
+
iceberg(
+  "customer_accounts",              //name
+  "account.accounts",               //table name
+  "/opt/app/data/customer/iceberg", //warehouse path
+  "hadoop",                         //catalog type
+  "",                               //catalogUri
+  Map()                             //additional options
+)
+
+
+
+

In application.conf: +

iceberg {
+  customer_transactions {
+    path = "/opt/app/data/customer/iceberg"
+    path = ${?ICEBERG_WAREHOUSE_PATH}
+    catalogType = "hadoop"
+    catalogType = ${?ICEBERG_CATALOG_TYPE}
+    catalogUri = ""
+    catalogUri = ${?ICEBERG_CATALOG_URI}
+  }
+}
+

+
+
+
+

RMDBS

+

Follows the same configuration used by Spark as +found here.
+Sample can be found below

+
+
+
+
postgres(
+    "customer_postgres",                            #name
+    "jdbc:postgresql://localhost:5432/customer",    #url
+    "postgres",                                     #username
+    "postgres"                                      #password
+)
+
+
+
+
postgres(
+    "customer_postgres",                            #name
+    "jdbc:postgresql://localhost:5432/customer",    #url
+    "postgres",                                     #username
+    "postgres"                                      #password
+)
+
+
+
+

In application.conf: +

jdbc {
+    customer_postgres {
+        url = "jdbc:postgresql://localhost:5432/customer"
+        url = ${?POSTGRES_URL}
+        user = "postgres"
+        user = ${?POSTGRES_USERNAME}
+        password = "postgres"
+        password = ${?POSTGRES_PASSWORD}
+        driver = "org.postgresql.Driver"
+    }
+}
+

+
+
+
+

Ensure that the user has write permission, so it is able to save the table to the target tables.

+
+SQL Permission Statements +
GRANT INSERT ON <schema>.<table> TO <user>;
+
+
+

Postgres

+

Can see example API or Config definition for Postgres connection above.

+
Permissions
+

Following permissions are required when generating plan and tasks:

+
+SQL Permission Statements +
GRANT SELECT ON information_schema.tables TO < user >;
+GRANT SELECT ON information_schema.columns TO < user >;
+GRANT SELECT ON information_schema.key_column_usage TO < user >;
+GRANT SELECT ON information_schema.table_constraints TO < user >;
+GRANT SELECT ON information_schema.constraint_column_usage TO < user >;
+
+
+

MySQL

+
+
+
+
mysql(
+    "customer_mysql",                       #name
+    "jdbc:mysql://localhost:3306/customer", #url
+    "root",                                 #username
+    "root"                                  #password
+)
+
+
+
+
mysql(
+    "customer_mysql",                       #name
+    "jdbc:mysql://localhost:3306/customer", #url
+    "root",                                 #username
+    "root"                                  #password
+)
+
+
+
+

In application.conf: +

jdbc {
+    customer_mysql {
+        url = "jdbc:mysql://localhost:3306/customer"
+        user = "root"
+        password = "root"
+        driver = "com.mysql.cj.jdbc.Driver"
+    }
+}
+

+
+
+
+
Permissions
+

Following permissions are required when generating plan and tasks:

+
+SQL Permission Statements +
GRANT SELECT ON information_schema.columns TO < user >;
+GRANT SELECT ON information_schema.statistics TO < user >;
+GRANT SELECT ON information_schema.key_column_usage TO < user >;
+
+
+

Cassandra

+

Follows same configuration as defined by the Spark Cassandra Connector as +found here

+
+
+
+
cassandra(
+    "customer_cassandra",   #name
+    "localhost:9042",       #url
+    "cassandra",            #username
+    "cassandra",            #password
+    Map.of()                #optional additional connection options
+)
+
+
+
+
cassandra(
+    "customer_cassandra",   #name
+    "localhost:9042",       #url
+    "cassandra",            #username
+    "cassandra",            #password
+    Map()                #optional additional connection options
+)
+
+
+
+

In application.conf: +

org.apache.spark.sql.cassandra {
+    customer_cassandra {
+        spark.cassandra.connection.host = "localhost"
+        spark.cassandra.connection.host = ${?CASSANDRA_HOST}
+        spark.cassandra.connection.port = "9042"
+        spark.cassandra.connection.port = ${?CASSANDRA_PORT}
+        spark.cassandra.auth.username = "cassandra"
+        spark.cassandra.auth.username = ${?CASSANDRA_USERNAME}
+        spark.cassandra.auth.password = "cassandra"
+        spark.cassandra.auth.password = ${?CASSANDRA_PASSWORD}
+    }
+}
+

+
+
+
+
Permissions
+

Ensure that the user has write permission, so it is able to save the table to the target tables.

+
+CQL Permission Statements +
GRANT INSERT ON <schema>.<table> TO <user>;
+
+
+

Following permissions are required when enabling configuration.enableGeneratePlanAndTasks(true) as it will gather +metadata information about tables and columns from the below tables.

+
+CQL Permission Statements +
GRANT SELECT ON system_schema.tables TO <user>;
+GRANT SELECT ON system_schema.columns TO <user>;
+
+
+

Kafka

+

Define your Kafka bootstrap server to connect and send generated data to corresponding topics. Topic gets set at a step +level.
+Further details can be +found here

+
+
+
+
kafka(
+    "customer_kafka",   #name
+    "localhost:9092"    #url
+)
+
+
+
+
kafka(
+    "customer_kafka",   #name
+    "localhost:9092"    #url
+)
+
+
+
+

In application.conf: +

kafka {
+    customer_kafka {
+        kafka.bootstrap.servers = "localhost:9092"
+        kafka.bootstrap.servers = ${?KAFKA_BOOTSTRAP_SERVERS}
+    }
+}
+

+
+
+
+

When defining your schema for pushing data to Kafka, it follows a specific top level schema.
+An example can be +found here +. You can define the key, value, headers, partition or topic by following the linked schema.

+

JMS

+

Uses JNDI lookup to send messages to JMS queue. Ensure that the messaging system you are using has your queue/topic +registered +via JNDI otherwise a connection cannot be created.

+
+
+
+
solace(
+    "customer_solace",                                      #name
+    "smf://localhost:55554",                                #url
+    "admin",                                                #username
+    "admin",                                                #password
+    "default",                                              #vpn name
+    "/jms/cf/default",                                      #connection factory
+    "com.solacesystems.jndi.SolJNDIInitialContextFactory"   #initial context factory
+)
+
+
+
+
solace(
+    "customer_solace",                                      #name
+    "smf://localhost:55554",                                #url
+    "admin",                                                #username
+    "admin",                                                #password
+    "default",                                              #vpn name
+    "/jms/cf/default",                                      #connection factory
+    "com.solacesystems.jndi.SolJNDIInitialContextFactory"   #initial context factory
+)
+
+
+
+

In application.conf: +

jms {
+    customer_solace {
+        initialContextFactory = "com.solacesystems.jndi.SolJNDIInitialContextFactory"
+        connectionFactory = "/jms/cf/default"
+        url = "smf://localhost:55555"
+        url = ${?SOLACE_URL}
+        user = "admin"
+        user = ${?SOLACE_USER}
+        password = "admin"
+        password = ${?SOLACE_PASSWORD}
+        vpnName = "default"
+        vpnName = ${?SOLACE_VPN}
+    }
+}
+

+
+
+
+

HTTP

+

Define any username and/or password needed for the HTTP requests.
+The url is defined in the tasks to allow for generated data to be populated in the url.

+
+
+
+
http(
+    "customer_api", #name
+    "admin",        #username
+    "admin"         #password
+)
+
+
+
+
http(
+    "customer_api", #name
+    "admin",        #username
+    "admin"         #password
+)
+
+
+
+

In application.conf: +

http {
+    customer_api {
+        user = "admin"
+        user = ${?HTTP_USER}
+        password = "admin"
+        password = ${?HTTP_PASSWORD}
+    }
+}
+

+
+
+
+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/delete-data/index.html b/setup/delete-data/index.html new file mode 100644 index 00000000..2c5e8da8 --- /dev/null +++ b/setup/delete-data/index.html @@ -0,0 +1,3486 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Delete generated data from data sources - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Delete Generated Data

+
+

Info

+

Deleting generated data is a paid feature. Try the free trial here.

+
+

As you generate and validate data, you may want to clean up the data that has been generated. This helps you:

+
    +
  1. Keep your test environments clean
  2. +
  3. Reduce chance of existing data interacting with your validations
  4. +
  5. Creates a simple workflow for developers and testers to follow
  6. +
+

Foreign Keys/Relationships

+

You can either define a foreign key for data generation (i.e. create same account numbers across accounts and +transactions table) +or for data deletion (i.e. account numbers generated in Postgres are consumed by a job and pushed into a Parquet file, +you +can delete the Postgres and Parquet data via the account numbers generated).

+

Generate

+

In scenarios where you have defined foreign keys for multiple data sources, when data is generated, Data Caterer will +ensure that the values generated in one data source, will be the same in the other. When you want to delete the data, +data will be deleted in reverse order of how the data was inserted. This ensures that for data sources, such as +Postgres, no errors will occur whilst deleting data.

+
graph LR
+  subgraph plan ["Plan/Scenario"]
+    postgresAccount["Generate Postgres accounts"]
+    postgresTransaction["Generate Postgres transactions"]
+  end
+
+  dataCaterer["Data Caterer"]
+
+  subgraph postgres ["Postgres"]
+    subgraph postgresAccTable ["Accounts table"]
+      accountA["ACC12345,2024-01-01"] ~~~
+      accountB["ACC98765,2024-01-23"] ~~~
+      accountC["..."]
+    end
+    subgraph postgresTxnTable ["Transactions table"]
+      accountATxn["ACC12345,10.23"] ~~~
+      accountBTxn["ACC98765,93.51"] ~~~
+      accountCTxn["ACC98765,5.72"] ~~~
+      accountDTxn["..."]
+    end
+  end
+
+  postgresAccount --> dataCaterer
+  postgresTransaction --> dataCaterer
+  dataCaterer --> postgresAccTable
+  dataCaterer --> postgresTxnTable
+

Configuration

+

To define the generated data that should be deleted, follow the below configurations:

+
+
+
+
var postgresAcc = postgres("my_postgres", "jdbc:...")
+  .table("public.accounts")
+  .schema(
+    field().name("account_id"),
+    field().name("name"),
+    ...
+  );
+var postgresTxn = postgres(postgresAcc)
+  .table("public.transactions")
+  .schema(
+    field().name("account_id"),
+    field().name("full_name"),
+    ...
+  );
+
+var deletePlan = plan().addForeignKeyRelationship(
+  postgresAcc, "account_id",
+  List.of(Map.entry(postgresTxn, "account_id"))
+);
+
+var deleteConfig = configuration()
+  .enableRecordTracking(true)
+  .enableDeleteGeneratedRecords(true)
+  .enableGenerateData(false);
+
+execute(deletePlan, deleteConfig, postgresAcc, postgresTxn);
+
+
+
+
val postgresAcc = postgres("my_postgres", "jdbc:...")
+  .table("public.accounts")
+  .schema(
+    field.name("account_id"),
+    field.name("name"),
+    ...
+  )
+val postgresTxn = postgres(postgresAcc)
+  .table("public.transactions")
+  .schema(
+    field.name("account_id"),
+    field.name("full_name"),
+    ...
+  )
+
+val deletePlan = plan.addForeignKeyRelationship(
+  postgresAcc, "account_id",
+  List(postgresTxn -> "account_id")
+)
+
+val deleteConfig = configuration
+  .enableRecordTracking(true)
+  .enableDeleteGeneratedRecords(true)
+  .enableGenerateData(false)
+
+execute(deletePlan, deleteConfig, postgresAcc, postgresTxn)
+
+
+
+
---
+name: "postgres_data"
+steps:
+  - name: "accounts"
+    type: "postgres"
+    options:
+      dbtable: "account.accounts"
+    schema:
+      fields:
+        - name: "account_id"
+        - name: "name"
+  - name: "transactions"
+    type: "postgres"
+    options:
+      dbtable: "account.transactions"
+    schema:
+      fields:
+        - name: "account_id"
+        - name: "full_name"
+---
+name: "customer_create_plan"
+description: "Create customers in JDBC"
+tasks:
+  - name: "postgres_data"
+    dataSourceName: "my_postgres"
+
+sinkOptions:
+  foreignKeys:
+    - - "postgres.accounts.account_id"
+      - - "postgres.transactions.account_id"
+      - []
+
+
+
+
+
UI
+

Generate relationship in UI

+

Delete

+

Once you have generated data, you may consume it via a job or service and push that data down into other data sources. +You can choose to also delete the data that is pushed down into the other data sources by defining a delete relationship.

+
graph LR
+  subgraph plan ["Plan/Scenario"]
+    postgresAccount["Generate Postgres accounts"]
+  end
+
+  dataCaterer["Data Caterer"]
+
+  subgraph postgresAccTable ["Postgres accounts table"]
+    direction TB
+    accountA["ACC12345,2024-01-01"] ~~~
+    accountB["ACC98765,2024-01-23"] ~~~
+    accountC["..."]
+  end
+
+  consumerJob["Consumer"]
+
+  subgraph parquetAcc ["Parquet accounts file"]
+    direction TB
+    accountParquetA["ACC12345,2024-01-01"] ~~~
+    accountParquetB["ACC98765,2024-01-23"] ~~~
+    accountParquetC["..."]
+  end
+
+  postgresAccount --> dataCaterer
+  dataCaterer --> postgresAccTable
+  consumerJob --> postgresAccTable
+  consumerJob --> parquetAcc
+

Configuration

+

We will use the scenario that we generate data for accounts table in Postgres and a job will insert a record into the +balances table for each record generated. To define the consumed data that should also be deleted, +follow the below example:

+
+
+
+
var postgresAcc = postgres("my_postgres", "jdbc:...")
+  .table("public.accounts")
+  .schema(
+    field().name("account_id"),
+    field().name("name"),
+    ...
+  );
+var postgresBal = postgres(postgresAcc)
+  .table("public.balances");
+
+var deletePlan = plan().addForeignKeyRelationship(
+  postgresAcc, "account_id",
+  List.of(),
+  List.of(Map.entry(postgresBal, "account_id"))
+);
+
+var deleteConfig = configuration()
+  .enableRecordTracking(true)
+  .enableDeleteGeneratedRecords(true)
+  .enableGenerateData(false);
+
+execute(deletePlan, deleteConfig, postgresAcc);
+
+
+
+
val postgresAcc = postgres("my_postgres", "jdbc:...")
+  .table("public.accounts")
+  .schema(
+    field.name("account_id"),
+    field.name("name"),
+    ...
+  )
+val postgresBal = postgres(postgresAcc)
+  .table("public.balances")
+
+val deletePlan = plan.addForeignKeyRelationship(
+  postgresAcc, "account_id",
+  List(),
+  List(postgresBal -> "account_id")
+)
+
+val deleteConfig = configuration
+  .enableRecordTracking(true)
+  .enableDeleteGeneratedRecords(true)
+  .enableGenerateData(false)
+
+execute(deletePlan, deleteConfig, postgresAcc)
+
+
+
+
---
+name: "postgres_data"
+steps:
+  - name: "accounts"
+    type: "postgres"
+    options:
+      dbtable: "account.accounts"
+    schema:
+      fields:
+        - name: "account_id"
+        - name: "name"
+  - name: "balances"
+    type: "postgres"
+    options:
+      dbtable: "account.balances"
+---
+name: "customer_create_plan"
+description: "Create customers in JDBC"
+tasks:
+  - name: "postgres_data"
+    dataSourceName: "my_postgres"
+
+sinkOptions:
+  foreignKeys:
+    - - "postgres.accounts.account_id"
+      - []
+      - - "postgres.balances.account_id"
+
+
+
+
+
UI
+

Delete relationship in UI

+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/deployment/index.html b/setup/deployment/index.html new file mode 100644 index 00000000..1f9a610a --- /dev/null +++ b/setup/deployment/index.html @@ -0,0 +1,3168 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Deployment - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Deployment

+

Three main ways to deploy and run Data Caterer:

+
    +
  • Application
  • +
  • Docker
  • +
  • Helm
  • +
+

Application

+

Run the OS native application from downloading the specific OS application here.

+

Docker

+

To package up your class along with the Data Caterer base image, you can follow +the Dockerfile that is created for you here.

+

Then you can run the following:

+
./gradlew clean build
+docker build -t <my_image_name>:<my_image_tag> .
+
+

Helm

+

Link to sample helm on GitHub here

+

Update +the configuration +to your own data connections and configuration or own image created from above.

+
git clone git@github.com:data-catering/data-caterer-example.git
+helm install data-caterer ./data-caterer-example/helm/data-caterer
+
+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/design/index.html b/setup/design/index.html new file mode 100644 index 00000000..3427ce31 --- /dev/null +++ b/setup/design/index.html @@ -0,0 +1,3221 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Design - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Design

+

This document shows the thought process behind the design of Data Caterer to help give you insights as to how and why +it was created to what it is today. Also, this serves as a reference for future design decisions which will get updated +here and thus is a living document.

+

Motivation

+

The main difficulties that I faced as a developer and team lead relating to testing were:

+
    +
  • Difficulty in testing with multiple data sources, both batch and real time
  • +
  • Reliance on other teams for stable environments or domain knowledge
  • +
  • Test environments with no reliable or consistent data flows
  • +
  • Complex data masking/anonymization solutions
  • +
  • Relying on production data (potential privacy and data breach issues)
  • +
  • Cost of data production issues can be very high
  • +
  • Unknown unknowns staying hidden until problems occur in production
  • +
  • Underutilised metadata
  • +
+

Guiding Principles

+

These difficulties helped formed the basis of the principles for which Data Caterer should follow:

+
    +
  • Data source agnostic: Connect to any batch or real time data sources for data generation or validation
  • +
  • Configurable: Run the application the way you want
  • +
  • Extensible: Allow for new innovations to seamlessly integrate with Data Caterer
  • +
  • Integrate with existing solutions: Utilise existing metadata to make it easy for users to use straight away
  • +
  • Secure: No production connections required, metadata based solution
  • +
  • Fast: Give developers fast feedback loops to encourage them to thoroughly test data flows
  • +
+

High level flow

+
graph LR
+  subgraph userTasks [User Configuration]
+  dataGen[Data Generation]
+  dataValid[Data Validation]
+  runConf[Runtime Config]
+  end
+
+  subgraph dataProcessor [Processor]
+  dataCaterer[Data Caterer]
+  end
+
+  subgraph existingMetadata [Metadata]
+  metadataService[Metadata Services]
+  metadataDataSource[Data Sources]
+  end
+
+  subgraph output [Output]
+  outputDataSource[Data Sources]
+  report[Report]
+  end
+
+  dataGen --> dataCaterer
+  dataValid --> dataCaterer
+  runConf --> dataCaterer
+  direction TB
+  dataCaterer -.-> metadataService
+  dataCaterer -.-> metadataDataSource
+  direction LR
+  dataCaterer ---> outputDataSource
+  dataCaterer ---> report
+
    +
  1. User Configuration
      +
    1. Users define data generation, validation and runtime configuration
    2. +
    +
  2. +
  3. Processor
      +
    1. Engine will take user configuration to decide how to run
    2. +
    3. User defined configuration merged with metadata from external sources
    4. +
    +
  4. +
  5. Metadata
      +
    1. Automatically retrieve schema, data profiling, relationship or validation rule metadata from data sources or metadata services
    2. +
    +
  6. +
  7. Output
      +
    1. Execute data generation and validation tasks on data sources
    2. +
    3. Generate report summarising outcome
    4. +
    +
  8. +
+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/generator/count/index.html b/setup/generator/count/index.html new file mode 100644 index 00000000..1f831e25 --- /dev/null +++ b/setup/generator/count/index.html @@ -0,0 +1,3349 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Record count - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Record Count

+

There are options related to controlling the number of records generated that can help in generating the scenarios or data required.

+

Record Count

+

Record count is the simplest as you define the total number of records you require for that particular step. +For example, in the below step, it will generate 1000 records for the CSV file

+
+
+
+
csv("transactions", "app/src/test/resources/sample/csv/transactions")
+  .count(1000);
+
+
+
+
csv("transactions", "app/src/test/resources/sample/csv/transactions")
+  .count(1000)
+
+
+
+
name: "csv_file"
+steps:
+  - name: "transactions"
+    type: "csv"
+    options:
+      path: "app/src/test/resources/sample/csv/transactions"
+    count:
+      records: 1000
+
+
+
+
+

Generated Count

+

As like most things in Data Caterer, the count can be generated based on some metadata. +For example, if I wanted to generate between 1000 and 2000 records, I could define that by the below configuration:

+
+
+
+
csv("transactions", "app/src/test/resources/sample/csv/transactions")
+  .count(generator().min(1000).max(2000));
+
+
+
+
csv("transactions", "app/src/test/resources/sample/csv/transactions")
+  .count(generator.min(1000).max(2000))
+
+
+
+
name: "csv_file"
+steps:
+  - name: "transactions"
+    type: "csv"
+    options:
+      path: "app/src/test/resources/sample/csv/transactions"
+    count:
+      generator:
+        type: "random"
+        options:
+          min: 1000
+          max: 2000
+
+
+
+
+

Per Column Count

+

When defining a per column count, this allows you to generate records "per set of columns". +This means that for a given set of columns, it will generate a particular amount of records per combination of values for those columns.

+

One example of this would be when generating transactions relating to a customer, a customer may be defined by columns account_id, name. +A number of transactions would be generated per account_id, name.

+

You can also use a combination of the above two methods to generate the number of records per column.

+

Records

+

When defining a base number of records within the perColumn configuration, it translates to creating (count.records * count.recordsPerColumn) records.
+This is a fixed number of records that will be generated each time, with no variation between runs.

+

In the example below, we have count.records = 1000 and count.recordsPerColumn = 2. Which means that 1000 * 2 = 2000 records will be generated +in total.

+
+
+
+
csv("transactions", "app/src/test/resources/sample/csv/transactions")
+  .count(
+    count()
+      .records(1000)
+      .recordsPerColumn(2, "account_id", "name")
+  );
+
+
+
+
csv("transactions", "app/src/test/resources/sample/csv/transactions")
+  .count(
+    count
+      .records(1000)
+      .recordsPerColumn(2, "account_id", "name")
+  )
+
+
+
+
name: "csv_file"
+steps:
+  - name: "transactions"
+    type: "csv"
+    options:
+      path: "app/src/test/resources/sample/csv/transactions"
+    count:
+      records: 1000
+      perColumn:
+        records: 2
+        columnNames:
+          - "account_id"
+          - "name"
+
+
+
+
+

Generated

+

You can also define a generator for the count per column. This can be used in scenarios where you want a variable number of records +per set of columns.

+

In the example below, it will generate between (count.records * count.perColumnGenerator.generator.min) = (1000 * 1) = 1000 and +(count.records * count.perColumnGenerator.generator.max) = (1000 * 2) = 2000 records.

+
+
+
+
csv("transactions", "app/src/test/resources/sample/csv/transactions")
+  .count(
+    count()
+      .records(1000)
+      .recordsPerColumnGenerator(generator().min(1).max(2), "account_id", "name")
+  );
+
+
+
+
csv("transactions", "app/src/test/resources/sample/csv/transactions")
+  .count(
+    count
+      .records(1000)
+      .recordsPerColumnGenerator(generator.min(1).max(2), "account_id", "name")
+  )
+
+
+
+
name: "csv_file"
+steps:
+  - name: "transactions"
+    type: "csv"
+    options:
+      path: "app/src/test/resources/sample/csv/transactions"
+    count:
+      records: 1000
+      perColumn:
+        columnNames:
+          - "account_id"
+          - "name"
+        generator:
+          type: "random"
+          options:
+            min: 1
+            max: 2
+
+
+
+
+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/generator/data-generator/index.html b/setup/generator/data-generator/index.html new file mode 100644 index 00000000..fa325350 --- /dev/null +++ b/setup/generator/data-generator/index.html @@ -0,0 +1,4179 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Data Generation - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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+ + + +
+
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+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Data Generators

+

Data Types

+

Below is a list of all supported data types for generating data:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Data TypeSpark Data TypeOptionsDescription
stringStringTypeminLen, maxLen, expression, enableNull
integerIntegerTypemin, max, stddev, mean
longLongTypemin, max, stddev, mean
shortShortTypemin, max, stddev, mean
decimal(precision, scale)DecimalType(precision, scale)min, max, stddev, mean
doubleDoubleTypemin, max, stddev, mean
floatFloatTypemin, max, stddev, mean
dateDateTypemin, max, enableNull
timestampTimestampTypemin, max, enableNull
booleanBooleanType
binaryBinaryTypeminLen, maxLen, enableNull
byteByteType
arrayArrayTypearrayMinLen, arrayMaxLen, arrayType
_StructTypeImplicitly supported when a schema is defined for a field
+

Options

+

All data types

+

Some options are available to use for all types of data generators. Below is the list along with example and +descriptions:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
OptionDefaultExampleDescription
enableEdgeCasefalseenableEdgeCase: "true"Enable/disable generated data to contain edge cases based on the data type. For example, integer data type has edge cases of (Int.MaxValue, Int.MinValue and 0)
edgeCaseProbability0.0edgeCaseProb: "0.1"Probability of generating a random edge case value if enableEdgeCase is true
isUniquefalseisUnique: "true"Enable/disable generated data to be unique for that column. Errors will be thrown when it is unable to generate unique data
seedseed: "1"Defines the random seed for generating data for that particular column. It will override any seed defined at a global level
sqlsql: "CASE WHEN amount < 10 THEN true ELSE false END"Define any SQL statement for generating that columns value. Computation occurs after all non-SQL fields are generated. This means any columns used in the SQL cannot be based on other SQL generated columns. Data type of generated value from SQL needs to match data type defined for the field
+

String

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
OptionDefaultExampleDescription
minLen1minLen: "2"Ensures that all generated strings have at least length minLen
maxLen10maxLen: "15"Ensures that all generated strings have at most length maxLen
expressionexpression: "#{Name.name}"
expression:"#{Address.city}/#{Demographic.maritalStatus}"
Will generate a string based on the faker expression provided. All possible faker expressions can be found here
Expression has to be in format #{<faker expression name>}
enableNullfalseenableNull: "true"Enable/disable null values being generated
nullProbability0.0nullProb: "0.1"Probability to generate null values if enableNull is true
+

Edge cases: ("", "\n", "\r", "\t", " ", "\u0000", "\ufff", "İyi günler", "Спасибо", "Καλημέρα", "صباح الخير", " +Förlåt", "你好吗", "Nhà vệ sinh ở đâu", "こんにちは", "नमस्ते", "Բարեւ", "Здравейте")

+

Sample

+
+
+
+
csv("transactions", "app/src/test/resources/sample/csv/transactions")
+  .schema(
+    field()
+      .name("name")
+      .type(StringType.instance())
+      .expression("#{Name.name}")
+      .enableNull(true)
+      .nullProbability(0.1)
+      .minLength(4)
+      .maxLength(20)
+  );
+
+
+
+
csv("transactions", "app/src/test/resources/sample/csv/transactions")
+  .schema(
+    field
+      .name("name")
+      .`type`(StringType)
+      .expression("#{Name.name}")
+      .enableNull(true)
+      .nullProbability(0.1)
+      .minLength(4)
+      .maxLength(20)
+  )
+
+
+
+
name: "csv_file"
+steps:
+  - name: "transactions"
+    type: "csv"
+    options:
+      path: "app/src/test/resources/sample/csv/transactions"
+    schema:
+      fields:
+        - name: "name"
+          type: "string"
+          generator:
+            options:
+              expression: "#{Name.name}"
+              enableNull: true
+              nullProb: 0.1
+              minLength: 4
+              maxLength: 20
+
+
+
+
+

Numeric

+

For all the numeric data types, there are 4 options to choose from: min, max and maxValue. +Generally speaking, you only need to define one of min or minValue, similarly with max or maxValue.
+The reason why there are 2 options for each is because of when metadata is automatically gathered, we gather the +statistics of the observed min and max values. Also, it will attempt to gather any restriction on the min or max value +as defined by the data source (i.e. max value as per database type).

+

Integer/Long/Short

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
OptionDefaultExampleDescription
min0min: "2"Ensures that all generated values are greater than or equal to min
max1000max: "25"Ensures that all generated values are less than or equal to max
stddev1.0stddev: "2.0"Standard deviation for normal distributed data
meanmax - minmean: "5.0"Mean for normal distributed data
+

Edge cases Integer: (2147483647, -2147483648, 0)
+Edge cases Long: (9223372036854775807, -9223372036854775808, 0)
+Edge cases Short: (32767, -32768, 0)

+
Sample
+
+
+
+
csv("transactions", "app/src/test/resources/sample/csv/transactions")
+  .schema(
+    field().name("year").type(IntegerType.instance()).min(2020).max(2023),
+    field().name("customer_id").type(LongType.instance()),
+    field().name("customer_group").type(ShortType.instance())
+  );
+
+
+
+
csv("transactions", "app/src/test/resources/sample/csv/transactions")
+  .schema(
+    field.name("year").`type`(IntegerType).min(2020).max(2023),
+    field.name("customer_id").`type`(LongType),
+    field.name("customer_group").`type`(ShortType)
+  )
+
+
+
+
name: "csv_file"
+steps:
+  - name: "transactions"
+    ...
+    schema:
+      fields:
+        - name: "year"
+          type: "integer"
+          generator:
+            options:
+              min: 2020
+              max: 2023
+        - name: "customer_id"
+          type: "long"
+        - name: "customer_group"
+          type: "short"
+
+
+
+
+

Decimal

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
OptionDefaultExampleDescription
min0min: "2"Ensures that all generated values are greater than or equal to min
max1000max: "25"Ensures that all generated values are less than or equal to max
stddev1.0stddev: "2.0"Standard deviation for normal distributed data
meanmax - minmean: "5.0"Mean for normal distributed data
numericPrecision10precision: "25"The maximum number of digits
numericScale0scale: "25"The number of digits on the right side of the decimal point (has to be less than or equal to precision)
+

Edge cases Decimal: (9223372036854775807, -9223372036854775808, 0)

+
Sample
+
+
+
+
csv("transactions", "app/src/test/resources/sample/csv/transactions")
+  .schema(
+    field().name("balance").type(DecimalType.instance()).numericPrecision(10).numericScale(5)
+  );
+
+
+
+
csv("transactions", "app/src/test/resources/sample/csv/transactions")
+  .schema(
+    field.name("balance").`type`(DecimalType).numericPrecision(10).numericScale(5)
+  )
+
+
+
+
name: "csv_file"
+steps:
+  - name: "transactions"
+    ...
+    schema:
+      fields:
+        - name: "balance"
+          type: "decimal"
+            generator:
+              options:
+                precision: 10
+                scale: 5
+
+
+
+
+

Double/Float

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
OptionDefaultExampleDescription
min0.0min: "2.1"Ensures that all generated values are greater than or equal to min
max1000.0max: "25.9"Ensures that all generated values are less than or equal to max
stddev1.0stddev: "2.0"Standard deviation for normal distributed data
meanmax - minmean: "5.0"Mean for normal distributed data
+

Edge cases Double: (+infinity, 1.7976931348623157e+308, 4.9e-324, 0.0, -0.0, -1.7976931348623157e+308, -infinity, +NaN)
+Edge cases Float: (+infinity, 3.4028235e+38, 1.4e-45, 0.0, -0.0, -3.4028235e+38, -infinity, NaN)

+
Sample
+
+
+
+
csv("transactions", "app/src/test/resources/sample/csv/transactions")
+  .schema(
+    field().name("amount").type(DoubleType.instance())
+  );
+
+
+
+
csv("transactions", "app/src/test/resources/sample/csv/transactions")
+  .schema(
+    field.name("amount").`type`(DoubleType)
+  )
+
+
+
+
name: "csv_file"
+steps:
+  - name: "transactions"
+    ...
+    schema:
+      fields:
+        - name: "amount"
+          type: "double"
+
+
+
+
+

Date

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
OptionDefaultExampleDescription
minnow() - 365 daysmin: "2023-01-31"Ensures that all generated values are greater than or equal to min
maxnow()max: "2023-12-31"Ensures that all generated values are less than or equal to max
enableNullfalseenableNull: "true"Enable/disable null values being generated
nullProbability0.0nullProb: "0.1"Probability to generate null values if enableNull is true
+

Edge cases: (0001-01-01, 1582-10-15, 1970-01-01, 9999-12-31) +(reference)

+

Sample

+
+
+
+
csv("transactions", "app/src/test/resources/sample/csv/transactions")
+  .schema(
+    field().name("created_date").type(DateType.instance()).min(java.sql.Date.valueOf("2020-01-01"))
+  );
+
+
+
+
csv("transactions", "app/src/test/resources/sample/csv/transactions")
+  .schema(
+    field.name("created_date").`type`(DateType).min(java.sql.Date.valueOf("2020-01-01"))
+  )
+
+
+
+
name: "csv_file"
+steps:
+  - name: "transactions"
+    ...
+    schema:
+      fields:
+        - name: "created_date"
+          type: "date"
+            generator:
+              options:
+                min: "2020-01-01"
+
+
+
+
+

Timestamp

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
OptionDefaultExampleDescription
minnow() - 365 daysmin: "2023-01-31 23:10:10"Ensures that all generated values are greater than or equal to min
maxnow()max: "2023-12-31 23:10:10"Ensures that all generated values are less than or equal to max
enableNullfalseenableNull: "true"Enable/disable null values being generated
nullProbability0.0nullProb: "0.1"Probability to generate null values if enableNull is true
+

Edge cases: (0001-01-01 00:00:00, 1582-10-15 23:59:59, 1970-01-01 00:00:00, 9999-12-31 23:59:59)

+

Sample

+
+
+
+
csv("transactions", "app/src/test/resources/sample/csv/transactions")
+  .schema(
+    field().name("created_time").type(TimestampType.instance()).min(java.sql.Timestamp.valueOf("2020-01-01 00:00:00"))
+  );
+
+
+
+
csv("transactions", "app/src/test/resources/sample/csv/transactions")
+  .schema(
+    field.name("created_time").`type`(TimestampType).min(java.sql.Timestamp.valueOf("2020-01-01 00:00:00"))
+  )
+
+
+
+
name: "csv_file"
+steps:
+  - name: "transactions"
+    ...
+    schema:
+      fields:
+        - name: "created_time"
+          type: "timestamp"
+            generator:
+              options:
+                min: "2020-01-01 00:00:00"
+
+
+
+
+

Binary

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
OptionDefaultExampleDescription
minLen1minLen: "2"Ensures that all generated array of bytes have at least length minLen
maxLen20maxLen: "15"Ensures that all generated array of bytes have at most length maxLen
enableNullfalseenableNull: "true"Enable/disable null values being generated
nullProbability0.0nullProb: "0.1"Probability to generate null values if enableNull is true
+

Edge cases: ("", "\n", "\r", "\t", " ", "\u0000", "\ufff", -128, 127)

+

Sample

+
+
+
+
csv("transactions", "app/src/test/resources/sample/csv/transactions")
+  .schema(
+    field().name("payload").type(BinaryType.instance())
+  );
+
+
+
+
csv("transactions", "app/src/test/resources/sample/csv/transactions")
+  .schema(
+    field.name("payload").`type`(BinaryType)
+  )
+
+
+
+
name: "csv_file"
+steps:
+  - name: "transactions"
+    ...
+    schema:
+      fields:
+        - name: "payload"
+          type: "binary"
+
+
+
+
+

Array

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
OptionDefaultExampleDescription
arrayMinLen0arrayMinLen: "2"Ensures that all generated arrays have at least length arrayMinLen
arrayMaxLen5arrayMaxLen: "15"Ensures that all generated arrays have at most length arrayMaxLen
arrayTypearrayType: "double"Inner data type of the array. Optional when using Java/Scala API. Allows for nested data types to be defined like struct
enableNullfalseenableNull: "true"Enable/disable null values being generated
nullProbability0.0nullProb: "0.1"Probability to generate null values if enableNull is true
+

Sample

+
+
+
+
csv("transactions", "app/src/test/resources/sample/csv/transactions")
+  .schema(
+    field().name("last_5_amounts").type(ArrayType.instance()).arrayType("double")
+  );
+
+
+
+
csv("transactions", "app/src/test/resources/sample/csv/transactions")
+  .schema(
+    field.name("last_5_amounts").`type`(ArrayType).arrayType("double")
+  )
+
+
+
+
name: "csv_file"
+steps:
+  - name: "transactions"
+    ...
+    schema:
+      fields:
+        - name: "last_5_amounts"
+          type: "array<double>"
+
+
+
+
+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/generator/foreign-key/index.html b/setup/generator/foreign-key/index.html new file mode 100644 index 00000000..841be9f4 --- /dev/null +++ b/setup/generator/foreign-key/index.html @@ -0,0 +1,3562 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Relationships/Foreign Keys - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Relationships/Foreign Keys

+

Multiple data source foreign key example

+

Foreign keys can be defined to represent the relationships between datasets where values are required to match for +particular fields.

+

Single field

+

Define a field in one data source to match against another field.
+Below example shows a postgres data source with two tables, accounts and transactions that have a foreign key +for account_id.

+
+
+
+
var postgresAcc = postgres("my_postgres", "jdbc:...")
+  .table("public.accounts")
+  .schema(
+    field().name("account_id"),
+    field().name("name"),
+    ...
+  );
+var postgresTxn = postgres(postgresAcc)
+  .table("public.transactions")
+  .schema(
+    field().name("account_id"),
+    field().name("full_name"),
+    ...
+  );
+
+plan().addForeignKeyRelationship(
+  postgresAcc, "account_id",
+  List.of(Map.entry(postgresTxn, "account_id"))
+);
+
+
+
+
val postgresAcc = postgres("my_postgres", "jdbc:...")
+  .table("public.accounts")
+  .schema(
+    field.name("account_id"),
+    field.name("name"),
+    ...
+  )
+val postgresTxn = postgres(postgresAcc)
+  .table("public.transactions")
+  .schema(
+    field.name("account_id"),
+    field.name("full_name"),
+    ...
+  )
+
+plan.addForeignKeyRelationship(
+  postgresAcc, "account_id",
+  List(postgresTxn -> "account_id")
+)
+
+
+
+
---
+name: "postgres_data"
+steps:
+  - name: "accounts"
+    type: "postgres"
+    options:
+      dbtable: "account.accounts"
+    schema:
+      fields:
+        - name: "account_id"
+        - name: "name"
+  - name: "transactions"
+    type: "postgres"
+    options:
+      dbtable: "account.transactions"
+    schema:
+      fields:
+        - name: "account_id"
+        - name: "full_name"
+---
+name: "customer_create_plan"
+description: "Create customers in JDBC"
+tasks:
+  - name: "postgres_data"
+    dataSourceName: "my_postgres"
+
+sinkOptions:
+  foreignKeys:
+    - - "postgres.accounts.account_id"
+      - - "postgres.transactions.account_id"
+      - []
+
+
+
+
+

Multiple fields

+

You may have a scenario where multiple fields need to be aligned. From the same example, we want account_id +and name from accounts to match with account_id and full_name to match in transactions respectively.

+
+
+
+
var postgresAcc = postgres("my_postgres", "jdbc:...")
+  .table("public.accounts")
+  .schema(
+    field().name("account_id"),
+    field().name("name"),
+    ...
+  );
+var postgresTxn = postgres(postgresAcc)
+  .table("public.transactions")
+  .schema(
+    field().name("account_id"),
+    field().name("full_name"),
+    ...
+  );
+
+plan().addForeignKeyRelationship(
+  postgresAcc, List.of("account_id", "name"),
+  List.of(Map.entry(postgresTxn, List.of("account_id", "full_name")))
+);
+
+
+
+
val postgresAcc = postgres("my_postgres", "jdbc:...")
+  .table("public.accounts")
+  .schema(
+    field.name("account_id"),
+    field.name("name"),
+    ...
+  )
+val postgresTxn = postgres(postgresAcc)
+  .table("public.transactions")
+  .schema(
+    field.name("account_id"),
+    field.name("full_name"),
+    ...
+  )
+
+plan.addForeignKeyRelationship(
+  postgresAcc, List("account_id", "name"),
+  List(postgresTxn -> List("account_id", "full_name"))
+)
+
+
+
+
---
+name: "postgres_data"
+steps:
+  - name: "accounts"
+    type: "postgres"
+    options:
+      dbtable: "account.accounts"
+    schema:
+      fields:
+        - name: "account_id"
+        - name: "name"
+  - name: "transactions"
+    type: "postgres"
+    options:
+      dbtable: "account.transactions"
+    schema:
+      fields:
+        - name: "account_id"
+        - name: "full_name"
+---
+name: "customer_create_plan"
+description: "Create customers in JDBC"
+tasks:
+  - name: "postgres_data"
+    dataSourceName: "my_postgres"
+
+sinkOptions:
+  foreignKeys:
+    - - "my_postgres.accounts.account_id,name"
+      - - "my_postgres.transactions.account_id,full_name"
+      - []
+
+
+
+
+

Transformed field

+

Scenarios exist where there are relationships defined by certain transformations being applied to the source data.

+

For example, there may be accounts created with a field account_number that contains records like 123456. Then another +data source contains account_id which is a concatenation of ACC with account_number to have values like ACC123456.

+
+
+
+
var postgresAcc = postgres("my_postgres", "jdbc:...")
+  .table("public.accounts")
+  .schema(
+    field().name("account_number"),
+    field().name("name"),
+    ...
+  );
+var jsonTask = json("my_json", "/tmp/json")
+  .schema(
+    field().name("account_id").sql("CONCAT('ACC', account_number)"),
+    field().name("account_number").omit(true),  #using this field for intermediate calculation, not included in final result with omit=true
+    ...
+  );
+
+plan().addForeignKeyRelationship(
+  postgresAcc, List.of("account_number"),
+  List.of(Map.entry(jsonTask, List.of("account_number")))
+);
+
+
+
+
val postgresAcc = postgres("my_postgres", "jdbc:...")
+  .table("public.accounts")
+  .schema(
+    field.name("account_number"),
+    field.name("name"),
+    ...
+  )
+var jsonTask = json("my_json", "/tmp/json")
+  .schema(
+    field.name("account_id").sql("CONCAT('ACC', account_number)"),
+    field.name("account_number").omit(true),  #using this field for intermediate calculation, not included in final result with omit=true
+    ...
+  )
+
+plan.addForeignKeyRelationship(
+  postgresAcc, List("account_number"),
+  List(jsonTask -> List("account_number"))
+)
+
+
+
+
---
+#postgres task yaml
+name: "postgres_data"
+steps:
+  - name: "accounts"
+    type: "postgres"
+    options:
+      dbtable: "account.accounts"
+    schema:
+      fields:
+        - name: "account_number"
+        - name: "name"
+---
+#json task yaml
+name: "json_data"
+steps:
+  - name: "transactions"
+    type: "json"
+    options:
+      dbtable: "account.transactions"
+    schema:
+      fields:
+        - name: "account_id"
+          generator:
+            options:
+              sql: "CONCAT('ACC', account_number)"
+        - name: "account_number"
+          generator:
+            options:
+              omit: true
+
+---
+#plan yaml
+name: "customer_create_plan"
+description: "Create customers in JDBC"
+tasks:
+  - name: "postgres_data"
+    dataSourceName: "my_postgres"
+  - name: "json_data"
+    dataSourceName: "my_json"
+
+sinkOptions:
+  foreignKeys:
+    - - "my_postgres.accounts.account_number"
+      - - "my_json.transactions.account_number"
+      - []
+
+
+
+
+

Nested field

+

Your schema structure can have nested fields which can also be referenced as foreign keys. But to do so, you need to +create a proxy field that gets omitted from the final saved data.

+

In the example below, the nested customer_details.name field inside the json task needs to match with name +from postgres. A new field in the json called _txn_name is used as a temporary field to facilitate the foreign +key definition.

+
+
+
+
var postgresAcc = postgres("my_postgres", "jdbc:...")
+  .table("public.accounts")
+  .schema(
+    field().name("account_id"),
+    field().name("name"),
+    ...
+  );
+var jsonTask = json("my_json", "/tmp/json")
+  .schema(
+    field().name("account_id"),
+    field().name("customer_details")
+      .schema(
+        field().name("name").sql("_txn_name"), #nested field will get value from '_txn_name'
+        ...
+      ),
+    field().name("_txn_name").omit(true)       #value will not be included in output
+  );
+
+plan().addForeignKeyRelationship(
+  postgresAcc, List.of("account_id", "name"),
+  List.of(Map.entry(jsonTask, List.of("account_id", "_txn_name")))
+);
+
+
+
+
val postgresAcc = postgres("my_postgres", "jdbc:...")
+  .table("public.accounts")
+  .schema(
+    field.name("account_id"),
+    field.name("name"),
+    ...
+  )
+var jsonTask = json("my_json", "/tmp/json")
+  .schema(
+    field.name("account_id"),
+    field.name("customer_details")
+      .schema(
+        field.name("name").sql("_txn_name"), #nested field will get value from '_txn_name'
+        ...
+      ), 
+    field.name("_txn_name").omit(true)       #value will not be included in output
+  )
+
+plan.addForeignKeyRelationship(
+  postgresAcc, List("account_id", "name"),
+  List(jsonTask -> List("account_id", "_txn_name"))
+)
+
+
+
+
---
+#postgres task yaml
+name: "postgres_data"
+steps:
+  - name: "accounts"
+    type: "postgres"
+    options:
+      dbtable: "account.accounts"
+    schema:
+      fields:
+        - name: "account_id"
+        - name: "name"
+---
+#json task yaml
+name: "json_data"
+steps:
+  - name: "transactions"
+    type: "json"
+    options:
+      dbtable: "account.transactions"
+    schema:
+      fields:
+        - name: "account_id"
+        - name: "_txn_name"
+          generator:
+            options:
+              omit: true
+        - name: "cusotmer_details"
+          schema:
+            fields:
+              name: "name"
+              generator:
+                type: "sql"
+                options:
+                  sql: "_txn_name"
+
+---
+#plan yaml
+name: "customer_create_plan"
+description: "Create customers in JDBC"
+tasks:
+  - name: "postgres_data"
+    dataSourceName: "my_postgres"
+  - name: "json_data"
+    dataSourceName: "my_json"
+
+sinkOptions:
+  foreignKeys:
+    - - "my_postgres.accounts.account_id,name"
+      - - "my_json.transactions.account_id,_txn_name"
+      - []
+
+
+
+
+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/guide/data-source/database/cassandra/index.html b/setup/guide/data-source/database/cassandra/index.html new file mode 100644 index 00000000..7e5ee924 --- /dev/null +++ b/setup/guide/data-source/database/cassandra/index.html @@ -0,0 +1,3589 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Cassandra Test Data Management - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Cassandra

+

Creating a data generator for Cassandra. You will build a Docker image that will be able to populate data in Cassandra +for the tables you configure.

+

Requirements

+
    +
  • 10 minutes
  • +
  • Git
  • +
  • Gradle
  • +
  • Docker
  • +
  • Cassandra
  • +
+

Get Started

+

First, we will clone the data-caterer-example repo which will already have the base project setup required.

+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+ +
+
+

If you already have a Cassandra instance running, you can skip to this step.

+

Cassandra Setup

+

Next, let's make sure you have an instance of Cassandra up and running in your local environment. This will make it +easy for us to iterate and check our changes.

+
cd docker
+docker-compose up -d cassandra
+
+

Permissions

+

Let's make a new user that has the required permissions needed to push data into the Cassandra tables we want.

+
+CQL Permission Statements +
GRANT INSERT ON <schema>.<table> TO data_caterer_user;
+
+
+

Following permissions are required when enabling configuration.enableGeneratePlanAndTasks(true) as it will gather +metadata information about tables and columns from the below tables.

+
+CQL Permission Statements +
GRANT SELECT ON system_schema.tables TO data_caterer_user;
+GRANT SELECT ON system_schema.columns TO data_caterer_user;
+
+
+

Plan Setup

+

Create a new Java or Scala class.

+
    +
  • Java: src/main/java/io/github/datacatering/plan/MyAdvancedCassandraJavaPlan.java
  • +
  • Scala: src/main/scala/io/github/datacatering/plan/MyAdvancedCassandraPlan.scala
  • +
+

Make sure your class extends PlanRun.

+
+
+
+
import io.github.datacatering.datacaterer.java.api.PlanRun;
+
+public class MyAdvancedCassandraJavaPlan extends PlanRun {
+}
+
+
+
+
import io.github.datacatering.datacaterer.api.PlanRun
+
+class MyAdvancedCassandraPlan extends PlanRun {
+}
+
+
+
+
+

This class defines where we need to define all of our configurations for generating data. There are helper variables and +methods defined to make it simple and easy to use.

+

Connection Configuration

+

Within our class, we can start by defining the connection properties to connect to Cassandra.

+
+
+
+
var accountTask = cassandra(
+    "customer_cassandra",   //name
+    "localhost:9042",       //url
+    "cassandra",            //username
+    "cassandra",            //password
+    Map.of()                //optional additional connection options
+)
+
+

Additional options such as SSL configuration, etc can be found here.

+
+
+
val accountTask = cassandra(
+    "customer_cassandra",   //name
+    "localhost:9042",       //url
+    "cassandra",            //username
+    "cassandra",            //password
+    Map()                   //optional additional connection options
+)
+
+

Additional options such as SSL configuration, etc can be found here.

+
+
+
+

Schema

+

Let's create a task for inserting data into the account.accounts and account.account_status_history tables as +defined underdocker/data/cql/customer.cql. This table should already be setup for you if you followed this +step. We can check if the table is set up already via the following command:

+
docker exec docker-cassandraserver-1 cqlsh -e 'describe account.accounts; describe account.account_status_history;'
+
+

Here we should see some output that looks like the below. This tells us what schema we need to follow when generating +data. We need to define that alongside any metadata that is useful to add constraints on what are possible values the +generated data should contain.

+
CREATE TABLE account.accounts (
+    account_id text PRIMARY KEY,
+    amount double,
+    created_by text,
+    name text,
+    open_time timestamp,
+    status text
+)...
+
+CREATE TABLE account.account_status_history (
+    account_id text,
+    eod_date date,
+    status text,
+    updated_by text,
+    updated_time timestamp,
+    PRIMARY KEY (account_id, eod_date)
+)...
+
+

Trimming the connection details to work with the docker-compose Cassandra, we have a base Cassandra connection to define +the table and schema required. Let's define each field along with their corresponding data type. You will notice that +the text fields do not have a data type defined. This is because the default data type is StringType which +corresponds to text in Cassandra.

+
+
+
+
{
+    var accountTask = cassandra("customer_cassandra", "host.docker.internal:9042")
+            .table("account", "accounts")
+            .schema(
+                    field().name("account_id"),
+                    field().name("amount").type(DoubleType.instance()),
+                    field().name("created_by"),
+                    field().name("name"),
+                    field().name("open_time").type(TimestampType.instance()),
+                    field().name("status")
+            );
+}
+
+
+
+
val accountTask = cassandra("customer_cassandra", "host.docker.internal:9042")
+  .table("account", "accounts")
+  .schema(
+    field.name("account_id"),
+    field.name("amount").`type`(DoubleType),
+    field.name("created_by"),
+    field.name("name"),
+    field.name("open_time").`type`(TimestampType),
+    field.name("status")
+  )
+
+
+
+
+

Depending on how you want to define the schema, follow the below:

+ +

Additional Configurations

+

At the end of data generation, a report gets generated that summarises the actions it performed. We can control the +output folder of that report via configurations. We will also enable the unique check to ensure any unique fields will +have unique values generated.

+
+
+
+
var config = configuration()
+        .generatedReportsFolderPath("/opt/app/data/report")
+        .enableUniqueCheck(true);
+
+
+
+
val config = configuration
+  .generatedReportsFolderPath("/opt/app/data/report")
+  .enableUniqueCheck(true)
+
+
+
+
+

Execute

+

To tell Data Caterer that we want to run with the configurations along with the accountTask, we have to call execute +. So our full plan run will look like this.

+
+
+
+
public class MyAdvancedCassandraJavaPlan extends PlanRun {
+    {
+        var accountTask = cassandra("customer_cassandra", "host.docker.internal:9042")
+                .table("account", "accounts")
+                .schema(
+                        field().name("account_id").regex("ACC[0-9]{8}").primaryKey(true),
+                        field().name("amount").type(DoubleType.instance()).min(1).max(1000),
+                        field().name("created_by").sql("CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END"),
+                        field().name("name").expression("#{Name.name}"),
+                        field().name("open_time").type(TimestampType.instance()).min(java.sql.Date.valueOf("2022-01-01")),
+                        field().name("status").oneOf("open", "closed", "suspended", "pending")
+                );
+
+        var config = configuration()
+                .generatedReportsFolderPath("/opt/app/data/report")
+                .enableUniqueCheck(true);
+
+        execute(config, accountTask);
+    }
+}
+
+
+
+
class MyAdvancedCassandraPlan extends PlanRun {
+  val accountTask = cassandra("customer_cassandra", "host.docker.internal:9042")
+    .table("account", "accounts")
+    .schema(
+      field.name("account_id").primaryKey(true),
+      field.name("amount").`type`(DoubleType).min(1).max(1000),
+      field.name("created_by").sql("CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END"),
+      field.name("name").expression("#{Name.name}"),
+      field.name("open_time").`type`(TimestampType).min(java.sql.Date.valueOf("2022-01-01")),
+      field.name("status").oneOf("open", "closed", "suspended", "pending")
+    )
+
+  val config = configuration
+    .generatedReportsFolderPath("/opt/app/data/report")
+    .enableUniqueCheck(true)
+
+  execute(config, accountTask)
+}
+
+
+
+
+

Run

+

Now we can run via the script ./run.sh that is in the top level directory of the data-caterer-example to run the class we just +created.

+
./run.sh
+#input class MyAdvancedCassandraJavaPlan or MyAdvancedCassandraPlan
+#after completing
+docker exec docker-cassandraserver-1 cqlsh -e 'select count(1) from account.accounts;select * from account.accounts limit 10;'
+
+

Your output should look like this.

+
 count
+-------
+  1000
+
+(1 rows)
+
+Warnings :
+Aggregation query used without partition key
+
+
+ account_id  | amount    | created_by         | name                   | open_time                       | status
+-------------+-----------+--------------------+------------------------+---------------------------------+-----------
+ ACC13554145 | 917.00418 | zb CVvbBTTzitjo5fK |          Jan Sanford I | 2023-06-21 21:50:10.463000+0000 | suspended
+ ACC19154140 |  46.99177 |             VH88H9 |       Clyde Bailey PhD | 2023-07-18 11:33:03.675000+0000 |      open
+ ACC50587836 |  774.9872 |         GENANwPm t |           Sang Monahan | 2023-03-21 00:16:53.308000+0000 |    closed
+ ACC67619387 | 452.86706 |       5msTpcBLStTH |         Jewell Gerlach | 2022-10-18 19:13:07.606000+0000 | suspended
+ ACC69889784 |  14.69298 |           WDmOh7NT |          Dale Schulist | 2022-10-25 12:10:52.239000+0000 | suspended
+ ACC41977254 |  51.26492 |          J8jAKzvj2 |           Norma Nienow | 2023-08-19 18:54:39.195000+0000 | suspended
+ ACC40932912 | 349.68067 |   SLcJgKZdLp5ALMyg | Vincenzo Considine III | 2023-05-16 00:22:45.991000+0000 |    closed
+ ACC20642011 | 658.40713 |          clyZRD4fI |  Lannie McLaughlin DDS | 2023-05-11 23:14:30.249000+0000 |      open
+ ACC74962085 | 970.98218 |       ZLETTSnj4NpD |          Ima Jerde DVM | 2023-05-07 10:01:56.218000+0000 |   pending
+ ACC72848439 | 481.64267 |                 cc |        Kyla Deckow DDS | 2023-08-16 13:28:23.362000+0000 | suspended
+
+(10 rows)
+
+

Also check the HTML report, found at docker/sample/report/index.html, that gets generated to get an overview of what +was executed.

+

Sample report

+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/guide/data-source/database/mysql/index.html b/setup/guide/data-source/database/mysql/index.html new file mode 100644 index 00000000..070d8660 --- /dev/null +++ b/setup/guide/data-source/database/mysql/index.html @@ -0,0 +1,3569 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + MySQL Test Data Management - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

MySQL

+

Creating a data generator for MySQL. You will build a Docker image that will be able to populate data in MySQL +for the tables you configure.

+

Requirements

+
    +
  • 10 minutes
  • +
  • Git
  • +
  • Gradle
  • +
  • Docker
  • +
+

Get Started

+

First, we will clone the data-caterer-example repo which will already have the base project setup required.

+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+ +
+
+

If you already have a MySQL instance running, you can skip to this step.

+

MySQL Setup

+

Next, let's make sure you have an instance of MySQL up and running in your local environment. This will make it +easy for us to iterate and check our changes.

+
cd docker
+docker-compose up -d mysql
+
+

Permissions

+

Let's make a new user that has the required permissions needed to push data into the MySQL tables we want.

+
+SQL Permission Statements +
GRANT INSERT ON <schema>.<table> TO data_caterer_user;
+
+
+

Following permissions are required when enabling configuration.enableGeneratePlanAndTasks(true) as it will gather +metadata information about tables and columns from the below tables.

+
+SQL Permission Statements +
GRANT SELECT ON information_schema.columns TO < user >;
+GRANT SELECT ON information_schema.statistics TO < user >;
+GRANT SELECT ON information_schema.key_column_usage TO < user >;
+
+
+

Plan Setup

+

Create a new Java or Scala class.

+
    +
  • Java: src/main/java/io/github/datacatering/plan/MySQLJavaPlan.java
  • +
  • Scala: src/main/scala/io/github/datacatering/plan/MySQLPlan.scala
  • +
+

Make sure your class extends PlanRun.

+
+
+
+
import io.github.datacatering.datacaterer.java.api.PlanRun;
+
+public class MySQLJavaPlan extends PlanRun {
+}
+
+
+
+
import io.github.datacatering.datacaterer.api.PlanRun
+
+class MySQLPlan extends PlanRun {
+}
+
+
+
+
+

This class defines where we need to define all of our configurations for generating data. There are helper variables and +methods defined to make it simple and easy to use.

+

Connection Configuration

+

Within our class, we can start by defining the connection properties to connect to MySQL.

+
+
+
+
var accountTask = mysql(
+    "customer_mysql",                                   //name
+    "jdbc:mysql://host.docker.internal:3306/customer",  //url
+    "root",                                             //username
+    "root",                                             //password
+    Map.of()                                            //optional additional connection options
+)
+
+

Additional options such as SSL configuration, etc can be found here.

+
+
+
val accountTask = mysql(
+    "customer_mysql",                                   //name
+    "jdbc:mysql://host.docker.internal:3306/customer",  //url
+    "root",                                             //username
+    "root",                                             //password
+    Map()                                               //optional additional connection options
+)
+
+

Additional options such as SSL configuration, etc can be found here.

+
+
+

In application.conf: +

jdbc {
+    customer_mysql {
+        url = "jdbc:mysql://jdbc:mysql://host.docker.internal:3306/customer/customer"
+        user = "root"
+        password = "root"
+        driver = "com.mysql.cj.jdbc.Driver"
+    }
+}
+

+
+
+
+

Schema

+

Let's create a task for inserting data into the customer.accounts and customer.balances tables as +defined underdocker/data/sql/mysql/customer.cql. This table should already be setup for you if you followed this +step.

+

Trimming the connection details to work with the docker-compose MySQL, we have a base MySQL connection to define +the table and schema required. Let's define each field along with their corresponding data type. You will notice that +the text fields do not have a data type defined. This is because the default data type is StringType which +corresponds to text in MySQL.

+
+
+
+
{
+    var accountTask = mysql("customer_mysql", "jdbc:mysql://host.docker.internal:3306/customer")
+            .table("customer", "accounts")
+            .schema(
+                    field().name("account_number"),
+                    field().name("amount").type(DoubleType.instance()),
+                    field().name("created_by"),
+                    field().name("created_by_fixed_length"),
+                    field().name("open_timestamp").type(TimestampType.instance()),
+                    field().name("account_status")
+            );
+}
+
+
+
+
val accountTask = mysql("customer_mysql", "jdbc:mysql://host.docker.internal:3306/customer")
+  .table("customer", "accounts")
+  .schema(
+    field.name("account_number"),
+    field.name("amount").`type`(DoubleType),
+    field.name("created_by"),
+    field.name("created_by_fixed_length"),
+    field.name("open_timestamp").`type`(TimestampType),
+    field.name("account_status")
+  )
+
+
+
+
+

Depending on how you want to define the schema, follow the below:

+ +

Additional Configurations

+

At the end of data generation, a report gets generated that summarises the actions it performed. We can control the +output folder of that report via configurations. We will also enable the unique check to ensure any unique fields will +have unique values generated.

+
+
+
+
var config = configuration()
+        .generatedReportsFolderPath("/opt/app/data/report")
+        .enableUniqueCheck(true);
+
+
+
+
val config = configuration
+  .generatedReportsFolderPath("/opt/app/data/report")
+  .enableUniqueCheck(true)
+
+
+
+
+

Execute

+

To tell Data Caterer that we want to run with the configurations along with the accountTask, we have to call execute +. So our full plan run will look like this.

+
+
+
+
public class MySQLJavaPlan extends PlanRun {
+    {
+        var accountTask = mysql("customer_mysql", "jdbc:mysql://host.docker.internal:3306/customer")
+                .table("customer", "accounts")
+                .schema(
+                        field().name("account_number").regex("ACC[0-9]{8}").primaryKey(true),
+                        field().name("amount").type(DoubleType.instance()).min(1).max(1000),
+                        field().name("created_by").expression("#{Name.name}"),
+                        field().name("created_by_fixed_length").sql("CASE WHEN account_status IN ('open', 'closed') THEN 'eod' ELSE 'event' END"),
+                        field().name("open_timestamp").type(TimestampType.instance()).min(java.sql.Date.valueOf("2022-01-01")),
+                        field().name("account_status").oneOf("open", "closed", "suspended", "pending")
+                );
+
+        var config = configuration()
+                .generatedReportsFolderPath("/opt/app/data/report")
+                .enableUniqueCheck(true);
+
+        execute(config, accountTask);
+    }
+}
+
+
+
+
class MySQLPlan extends PlanRun {
+  val accountTask = mysql("customer_mysql", "jdbc:mysql://host.docker.internal:3306/customer")
+    .table("customer", "accounts")
+    .schema(
+      field.name("account_number").primaryKey(true),
+      field.name("amount").`type`(DoubleType).min(1).max(1000),
+      field.name("created_by").expression("#{Name.name}"),
+      field.name("created_by_fixed_length").sql("CASE WHEN account_status IN ('open', 'closed') THEN 'eod' ELSE 'event' END"),
+      field.name("open_timestamp").`type`(TimestampType).min(java.sql.Date.valueOf("2022-01-01")),
+      field.name("account_status").oneOf("open", "closed", "suspended", "pending")
+    )
+
+  val config = configuration
+    .generatedReportsFolderPath("/opt/app/data/report")
+    .enableUniqueCheck(true)
+
+  execute(config, accountTask)
+}
+
+
+
+
+

Run

+

Now we can run via the script ./run.sh that is in the top level directory of the data-caterer-example to run the +class we just +created.

+
./run.sh
+#input class MySQLJavaPlan or MySQLPlan
+#after completing
+docker exec docker-mysql-1  mysql -u root "-proot" "customer" -e "SELECT COUNT(1) FROM customer.accounts; SELECT * FROM customer.accounts LIMIT 10;"
+
+

Your output should look like this.

+
COUNT(1)
+10
+id  account_number  account_status  created_by  created_by_fixed_length customer_id_int customer_id_smallint    customer_id_bigint  customer_id_decimal customer_id_real    customer_id_double  open_date   open_timestamp  last_opened_time    payload_bytes
+1   0507581306  suspended   Pete Pouros event   510 NULL    NULL    NULL    NULL    NULL    NULL    2023-08-08 06:55:09 NULL    NULL
+2   0998204877  pending Kraig Balistreri    event   987 NULL    NULL    NULL    NULL    NULL    NULL    2023-09-04 10:09:27 NULL    NULL
+3   1491488574  pending Mrs. Ali DuBuque    event   43  NULL    NULL    NULL    NULL    NULL    NULL    2024-05-11 06:43:07 NULL    NULL
+4   5209805789  suspended   Lorilee Gislason    event   975 NULL    NULL    NULL    NULL    NULL    NULL    2023-08-30 20:54:40 NULL    NULL
+5   5901422604  closed  Elbert Johnston eod 369 NULL    NULL    NULL    NULL    NULL    NULL    2023-08-07 13:46:58 NULL    NULL
+6   7930880350  pending Charlie McCullough  event   797 NULL    NULL    NULL    NULL    NULL    NULL    2024-02-05 15:16:46 NULL    NULL
+7   8248715689  pending Mila Becker event   236 NULL    NULL    NULL    NULL    NULL    NULL    2024-06-07 08:51:29 NULL    NULL
+8   8709384015  closed  Dinah Zemlak    eod 965 NULL    NULL    NULL    NULL    NULL    NULL    2024-01-14 20:58:51 NULL    NULL
+9   9463221576  closed  Les Hettinger   eod 83  NULL    NULL    NULL    NULL    NULL    NULL    2023-06-27 16:05:22 NULL    NULL
+10  9903967165  closed  Ms. Napoleon Walker eod 795 NULL    NULL    NULL    NULL    NULL    NULL    2023-10-07 13:42:24 NULL    NULL
+
+

Also check the HTML report, found at docker/sample/report/index.html, that gets generated to get an overview of what +was executed.

+

Sample report

+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/guide/data-source/database/postgres/index.html b/setup/guide/data-source/database/postgres/index.html new file mode 100644 index 00000000..0998dba9 --- /dev/null +++ b/setup/guide/data-source/database/postgres/index.html @@ -0,0 +1,3574 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Postgres Test Data Management - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Postgres

+

Creating a data generator for Postgres. You will build a Docker image that will be able to populate data in Postgres +for the tables you configure.

+

Requirements

+
    +
  • 10 minutes
  • +
  • Git
  • +
  • Gradle
  • +
  • Docker
  • +
+

Get Started

+

First, we will clone the data-caterer-example repo which will already have the base project setup required.

+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+ +
+
+

If you already have a Postgres instance running, you can skip to this step.

+

Postgres Setup

+

Next, let's make sure you have an instance of Postgres up and running in your local environment. This will make it +easy for us to iterate and check our changes.

+
cd docker
+docker-compose up -d mysql
+
+

Permissions

+

Let's make a new user that has the required permissions needed to push data into the Postgres tables we want.

+
+SQL Permission Statements +
GRANT INSERT ON <schema>.<table> TO data_caterer_user;
+
+
+

Following permissions are required when enabling configuration.enableGeneratePlanAndTasks(true) as it will gather +metadata information about tables and columns from the below tables.

+
+SQL Permission Statements +
GRANT SELECT ON information_schema.columns TO < user >;
+GRANT SELECT ON information_schema.statistics TO < user >;
+GRANT SELECT ON information_schema.key_column_usage TO < user >;
+
+
+

Plan Setup

+

Create a new Java or Scala class.

+
    +
  • Java: src/main/java/io/github/datacatering/plan/MyPostgresJavaPlan.java
  • +
  • Scala: src/main/scala/io/github/datacatering/plan/MyPostgresPlan.scala
  • +
+

Make sure your class extends PlanRun.

+
+
+
+
import io.github.datacatering.datacaterer.java.api.PlanRun;
+
+public class MyPostgresJavaPlan extends PlanRun {
+}
+
+
+
+
import io.github.datacatering.datacaterer.api.PlanRun
+
+class MyPostgresPlan extends PlanRun {
+}
+
+
+
+
+

This class defines where we need to define all of our configurations for generating data. There are helper variables and +methods defined to make it simple and easy to use.

+

Connection Configuration

+

Within our class, we can start by defining the connection properties to connect to Postgres.

+
+
+
+
var accountTask = postgres(
+    "customer_postgres",                                    //name
+    "jdbc:postgresql://host.docker.internal:5432/customer", //url
+    "postgres",                                             //username
+    "postgres",                                             //password
+    Map.of()                                                //optional additional connection options
+)
+
+

Additional options such as SSL configuration, etc can be found here.

+
+
+
val accountTask = postgres(
+    "customer_postgres",                                    //name
+    "jdbc:postgresql://host.docker.internal:5432/customer", //url
+    "postgres",                                             //username
+    "postgres",                                             //password
+    Map()                                                   //optional additional connection options
+)
+
+

Additional options such as SSL configuration, etc can be found here.

+
+
+

In application.conf: +

jdbc {
+    customer_postgres {
+        url = "jdbc:mysql://jdbc:postgresql://host.docker.internal:5432/customer/customer"
+        user = "postgres"
+        password = "postgres"
+        driver = "org.postgresql.Driver"
+    }
+}
+

+
+
+
+

Schema

+

Let's create a task for inserting data into the account.accounts and account.balances tables as +defined underdocker/data/sql/postgres/customer.cql. This table should already be setup for you if you followed this +step.

+

Trimming the connection details to work with the docker-compose Postgres, we have a base Postgres connection to define +the table and schema required. Let's define each field along with their corresponding data type. You will notice that +the text fields do not have a data type defined. This is because the default data type is StringType which +corresponds to text in Postgres.

+
+
+
+
{
+    var accountTask = postgres("customer_postgres", "jdbc:postgresql://host.docker.internal:5432/customer")
+            .table("account", "accounts")
+            .schema(
+                    field().name("account_number"),
+                    field().name("amount").type(DoubleType.instance()),
+                    field().name("created_by"),
+                    field().name("created_by_fixed_length"),
+                    field().name("open_timestamp").type(TimestampType.instance()),
+                    field().name("account_status")
+            );
+}
+
+
+
+
val accountTask = postgres("customer_postgres", "jdbc:postgresql://host.docker.internal:5432/customer")
+  .table("account", "accounts")
+  .schema(
+    field.name("account_number"),
+    field.name("amount").`type`(DoubleType),
+    field.name("created_by"),
+    field.name("created_by_fixed_length"),
+    field.name("open_timestamp").`type`(TimestampType),
+    field.name("account_status")
+  )
+
+
+
+
+

Depending on how you want to define the schema, follow the below:

+ +

Additional Configurations

+

At the end of data generation, a report gets generated that summarises the actions it performed. We can control the +output folder of that report via configurations. We will also enable the unique check to ensure any unique fields will +have unique values generated.

+
+
+
+
var config = configuration()
+        .generatedReportsFolderPath("/opt/app/data/report")
+        .enableUniqueCheck(true);
+
+
+
+
val config = configuration
+  .generatedReportsFolderPath("/opt/app/data/report")
+  .enableUniqueCheck(true)
+
+
+
+
+

Execute

+

To tell Data Caterer that we want to run with the configurations along with the accountTask, we have to call execute +. So our full plan run will look like this.

+
+
+
+
public class MyPostgresJavaPlan extends PlanRun {
+    {
+        var accountTask = postgres("customer_postgres", "jdbc:postgresql://host.docker.internal:5432/customer")
+                .table("account", "accounts")
+                .schema(
+                        field().name("account_number").regex("ACC[0-9]{8}").primaryKey(true),
+                        field().name("amount").type(DoubleType.instance()).min(1).max(1000),
+                        field().name("created_by").expression("#{Name.name}"),
+                        field().name("created_by_fixed_length").sql("CASE WHEN account_status IN ('open', 'closed') THEN 'eod' ELSE 'event' END"),
+                        field().name("open_timestamp").type(TimestampType.instance()).min(java.sql.Date.valueOf("2022-01-01")),
+                        field().name("account_status").oneOf("open", "closed", "suspended", "pending")
+                );
+
+        var config = configuration()
+                .generatedReportsFolderPath("/opt/app/data/report")
+                .enableUniqueCheck(true);
+
+        execute(config, accountTask);
+    }
+}
+
+
+
+
class MyPostgresPlan extends PlanRun {
+  val accountTask = postgres("customer_postgres", "jdbc:postgresql://host.docker.internal:5432/customer")
+    .table("account", "accounts")
+    .schema(
+      field.name("account_number").primaryKey(true),
+      field.name("amount").`type`(DoubleType).min(1).max(1000),
+      field.name("created_by").expression("#{Name.name}"),
+      field.name("created_by_fixed_length").sql("CASE WHEN account_status IN ('open', 'closed') THEN 'eod' ELSE 'event' END"),
+      field.name("open_timestamp").`type`(TimestampType).min(java.sql.Date.valueOf("2022-01-01")),
+      field.name("account_status").oneOf("open", "closed", "suspended", "pending")
+    )
+
+  val config = configuration
+    .generatedReportsFolderPath("/opt/app/data/report")
+    .enableUniqueCheck(true)
+
+  execute(config, accountTask)
+}
+
+
+
+
+

Run

+

Now we can run via the script ./run.sh that is in the top level directory of the data-caterer-example to run the +class we just +created.

+
./run.sh
+#input class MyPostgresJavaPlan or MyPostgresPlan
+#after completing
+docker exec docker-postgresserver-1  psql -Upostgres -d customer -c "SELECT COUNT(1) FROM account.accounts; SELECT * FROM account.accounts LIMIT 10;"
+
+

Your output should look like this.

+
 count
+-------
+   100
+(1 row)
+
+ id | account_number | account_status |     created_by      | created_by_fixed_length | customer_id_int | customer_id_smallint | customer_id_bigint | customer_id_decimal | customer_id_real | customer_id_double | open_date |     open_timestamp      | last_opened_time | payload_bytes
+----+----------------+----------------+---------------------+-------------------------+-----------------+----------------------+--------------------+---------------------+------------------+--------------------+-----------+-------------------------+------------------+---------------
+  1 | 0499572486     | closed         | Stewart Hartmann    | eod                     |             951 |                      |                    |                     |                  |                    |           | 2023-12-02 12:30:37.602 |                  |
+  4 | 0777698075     | closed         | Shauna Huels        | eod                     |             225 |                      |                    |                     |                  |                    |           | 2023-08-07 01:25:32.732 |                  |
+  2 | 1011209228     | suspended      | Miss Yu Torp        | event                   |             301 |                      |                    |                     |                  |                    |           | 2024-03-07 08:33:03.031 |                  |
+  6 | 0759166208     | closed         | Mrs. Alesha Koelpin | eod                     |             778 |                      |                    |                     |                  |                    |           | 2024-04-18 13:23:43.861 |                  |
+  5 | 1151247273     | closed         | Eugenio Corkery     | eod                     |             983 |                      |                    |                     |                  |                    |           | 2024-05-03 22:44:22.816 |                  |
+  7 | 3909668884     | suspended      | Deandra Ratke       | event                   |             891 |                      |                    |                     |                  |                    |           | 2024-05-01 13:11:05.498 |                  |
+  8 | 5396749742     | suspended      | Grant Moen          | event                   |              46 |                      |                    |                     |                  |                    |           | 2024-02-22 14:43:31.294 |                  |
+  9 | 4269791821     | suspended      | Kenton Romaguera    | event                   |             735 |                      |                    |                     |                  |                    |           | 2024-05-16 16:40:55.781 |                  |
+ 10 | 6095315531     | closed         | Crystle Hintz       | eod                     |             279 |                      |                    |                     |                  |                    |           | 2024-02-18 07:40:21.088 |                  |
+ 11 | 6625684008     | open           | Miss Edelmira Rath  | eod                     |             200 |                      |                    |                     |                  |                    |           | 2024-05-12 17:17:55.86  |                  |
+(10 rows)
+
+

Also check the HTML report, found at docker/sample/report/index.html, that gets generated to get an overview of what +was executed.

+

Sample report

+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/guide/data-source/file/csv/index.html b/setup/guide/data-source/file/csv/index.html new file mode 100644 index 00000000..4f81ac7e --- /dev/null +++ b/setup/guide/data-source/file/csv/index.html @@ -0,0 +1,3407 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + CSV Test Data Management - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

CSV

+

Creating a data generator for CSV. You will have the ability to generate and validate CSV files via Docker.

+

Requirements

+
    +
  • 10 minutes
  • +
  • Git
  • +
  • Gradle
  • +
  • Docker
  • +
+

Get Started

+

First, we will clone the data-caterer-example repo which will already have the base project setup required.

+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+ +
+
+

Plan Setup

+

Create a new Java or Scala class.

+
    +
  • Java: src/main/java/io/github/datacatering/plan/MyCSVJavaPlan.java
  • +
  • Scala: src/main/scala/io/github/datacatering/plan/MyCSVPlan.scala
  • +
+

Make sure your class extends PlanRun.

+
+
+
+
import io.github.datacatering.datacaterer.java.api.PlanRun;
+
+public class MyCSVJavaPlan extends PlanRun {
+}
+
+
+
+
import io.github.datacatering.datacaterer.api.PlanRun
+
+class MyCSVPlan extends PlanRun {
+}
+
+
+
+
+

This class defines where we need to define all of our configurations for generating data. There are helper variables and +methods defined to make it simple and easy to use.

+

Connection Configuration

+

Within our class, we can start by defining the connection properties to read/write from/to CSV.

+
+
+
+
var accountTask = csv(
+    "customer_accounts",              //name
+    "/opt/app/data/customer/account", //path
+    Map.of("header", "true")          //additional options
+);
+
+

Additional options such as including a header row, etc can be found here.

+
+
+
val accountTask = csv(
+  "customer_accounts",              //name         
+  "/opt/app/data/customer/account", //path
+  Map("header" -> "true")           //additional options
+)
+
+

Additional options such as including a header row, etc can be found here.

+
+
+
+

Schema

+

Depending on how you want to define the schema, follow the below:

+ +

Additional Configurations

+

At the end of data generation, a report gets generated that summarises the actions it performed. We can control the +output folder of that report via configurations. We will also enable the unique check to ensure any unique fields will +have unique values generated.

+
+
+
+
var config = configuration()
+        .generatedReportsFolderPath("/opt/app/data/report")
+        .enableUniqueCheck(true);
+
+execute(myPlan, config, accountTask, transactionTask);
+
+
+
+
val config = configuration
+  .generatedReportsFolderPath("/opt/app/data/report")
+  .enableUniqueCheck(true)
+
+execute(myPlan, config, accountTask, transactionTask)
+
+
+
+
+

Run

+

Now we can run via the script ./run.sh that is in the top level directory of the data-caterer-example to run the class we just +created.

+
./run.sh
+#input class MyCSVJavaPlan or MyCSVPlan
+#after completing, let's pick an account and check the transactions for that account
+account=$(tail -1 docker/sample/customer/account/part-00000* | awk -F "," '{print $1 "," $4}')
+echo $account
+cat docker/sample/customer/transaction/part-00000* | grep $account
+
+

It should look something like this.

+
ACC29117767,Willodean Sauer
+ACC29117767,Willodean Sauer,84.99145871948083,2023-05-14T09:55:51.439Z,2023-05-14
+ACC29117767,Willodean Sauer,58.89345733567232,2022-11-22T07:38:20.143Z,2022-11-22
+
+

Congratulations! You have now made a data generator that has simulated a real world data scenario. You can check the +CSVJavaPlan.java or CSVPlan.scala files as well to check that your plan is the same.

+

Validation

+

If you want to validate data from a CSV source, +follow the validation documentation found here to help guide you.

+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/guide/data-source/file/delta-lake/index.html b/setup/guide/data-source/file/delta-lake/index.html new file mode 100644 index 00000000..4e284741 --- /dev/null +++ b/setup/guide/data-source/file/delta-lake/index.html @@ -0,0 +1,3398 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Delta Lake Test Data Management - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Delta Lake

+

Creating a data generator for Delta Lake. You will have the ability to generate and validate Delta Lake files.

+

Requirements

+
    +
  • 10 minutes
  • +
  • Git
  • +
  • Gradle
  • +
  • Docker
  • +
+

Get Started

+

First, we will clone the data-caterer-example repo which will already have the base project setup required.

+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+ +
+
+

Plan Setup

+

Create a new Java or Scala class.

+
    +
  • Java: src/main/java/io/github/datacatering/plan/MyDeltaLakeJavaPlan.java
  • +
  • Scala: src/main/scala/io/github/datacatering/plan/MyDeltaLakePlan.scala
  • +
+

Make sure your class extends PlanRun.

+
+
+
+
import io.github.datacatering.datacaterer.java.api.PlanRun;
+
+public class MyDeltaLakeJavaPlan extends PlanRun {
+}
+
+
+
+
import io.github.datacatering.datacaterer.api.PlanRun
+
+class MyDeltaLakePlan extends PlanRun {
+}
+
+
+
+
+

This class defines where we need to define all of our configurations for generating data. There are helper variables and +methods defined to make it simple and easy to use.

+

Connection Configuration

+

Within our class, we can start by defining the connection properties to read/write from/to Delta Lake.

+
+
+
+
var accountTask = delta(
+        "customer_accounts",            //name
+        "/opt/app/data/customer/delta", //path
+        Map.of()                        //additional options
+);
+
+

Additional options can be found here.

+
+
+
val accountTask = delta(
+  "customer_accounts",            //name
+  "/opt/app/data/customer/delta", //path
+  Map()                           //additional options
+)
+
+

Additional options can be found here.

+
+
+
+

Schema

+

Depending on how you want to define the schema, follow the below:

+ +

Additional Configurations

+

At the end of data generation, a report gets generated that summarises the actions it performed. We can control the +output folder of that report via configurations. We will also enable the unique check to ensure any unique fields will +have unique values generated.

+
+
+
+
var config = configuration()
+        .generatedReportsFolderPath("/opt/app/data/report")
+        .enableUniqueCheck(true);
+
+execute(myPlan, config, accountTask, transactionTask);
+
+
+
+
val config = configuration
+  .generatedReportsFolderPath("/opt/app/data/report")
+  .enableUniqueCheck(true)
+
+execute(myPlan, config, accountTask, transactionTask)
+
+
+
+
+

Run

+

Now we can run via the script ./run.sh that is in the top level directory of the data-caterer-example to run the class we just +created.

+
./run.sh
+#input class MyDeltaLakeJavaPlan or MyDeltaLakePlan
+
+

Congratulations! You have now made a data generator that has simulated a real world data scenario. You can check the +DeltaLakeJavaPlan.java or DeltaLakePlan.scala files as well to check that your plan is the same.

+

Validation

+

If you want to validate data from an Delta Lake source, +follow the validation documentation found here to help guide you.

+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/guide/data-source/file/iceberg/index.html b/setup/guide/data-source/file/iceberg/index.html new file mode 100644 index 00000000..6ef7788f --- /dev/null +++ b/setup/guide/data-source/file/iceberg/index.html @@ -0,0 +1,3478 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Iceberg Test Data Management - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Iceberg

+

Creating a data generator for Iceberg. You will have the ability to generate and validate Iceberg tables.

+

Requirements

+
    +
  • 10 minutes
  • +
  • Git
  • +
  • Gradle
  • +
  • Docker
  • +
+

Get Started

+

First, we will clone the data-caterer-example repo which will already have the base project setup required.

+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+ +
+
+

Plan Setup

+

Create a new Java or Scala class.

+
    +
  • Java: src/main/java/io/github/datacatering/plan/MyIcebergJavaPlan.java
  • +
  • Scala: src/main/scala/io/github/datacatering/plan/MyIcebergPlan.scala
  • +
  • YAML: docker/data/customer/plan/my-iceberg.yaml
  • +
+

Make sure your class extends PlanRun.

+
+
+
+
import io.github.datacatering.datacaterer.java.api.PlanRun;
+
+public class MyIcebergJavaPlan extends PlanRun {
+}
+
+
+
+
import io.github.datacatering.datacaterer.api.PlanRun
+
+class MyIcebergPlan extends PlanRun {
+}
+
+
+
+

In docker/data/custom/plan/my-iceberg.yaml: +

name: "my_iceberg_plan"
+description: "Create account data in Iceberg table"
+tasks:
+  - name: "iceberg_account_table"
+    dataSourceName: "customer_accounts"
+    enabled: true
+

+
+ +
+
+

This class defines where we need to define all of our configurations for generating data. There are helper variables and +methods defined to make it simple and easy to use.

+

Connection Configuration

+

Within our class, we can start by defining the connection properties to read/write from/to Iceberg.

+
+
+
+
var accountTask = iceberg(
+        "customer_accounts",              //name
+        "account.accounts",               //table name
+        "/opt/app/data/customer/iceberg", //warehouse path
+        "hadoop",                         //catalog type
+        "",                               //catalogUri
+        Map.of()                          //additional options
+);
+
+

Additional options can be found here.

+
+
+
val accountTask = iceberg(
+  "customer_accounts",              //name
+  "account.accounts",               //table name
+  "/opt/app/data/customer/iceberg", //warehouse path
+  "hadoop",                         //catalog type
+  "",                               //catalogUri
+  Map()                             //additional options
+)
+
+

Additional options can be found here.

+
+
+

In application.conf: +

iceberg {
+  customer_accounts {
+    path = "/opt/app/data/customer/iceberg"
+    path = ${?ICEBERG_WAREHOUSE_PATH}
+    catalogType = "hadoop"
+    catalogType = ${?ICEBERG_CATALOG_TYPE}
+    catalogUri = ""
+    catalogUri = ${?ICEBERG_CATALOG_URI}
+  }
+}
+

+
+
+
    +
  1. Go to Connection tab in the top bar
  2. +
  3. Select data source as Iceberg
      +
    1. Enter in data source name customer_accounts
    2. +
    3. Select catalog type hadoop
    4. +
    5. Enter warehouse path as /opt/app/data/customer/iceberg
    6. +
    +
  4. +
+
+
+
+

Schema

+

Depending on how you want to define the schema, follow the below:

+ +

Additional Configurations

+

At the end of data generation, a report gets generated that summarises the actions it performed. We can control the +output folder of that report via configurations. We will also enable the unique check to ensure any unique fields will +have unique values generated.

+
+
+
+
var config = configuration()
+        .generatedReportsFolderPath("/opt/app/data/report")
+        .enableUniqueCheck(true);
+
+execute(myPlan, config, accountTask, transactionTask);
+
+
+
+
val config = configuration
+  .generatedReportsFolderPath("/opt/app/data/report")
+  .enableUniqueCheck(true)
+
+execute(myPlan, config, accountTask, transactionTask)
+
+
+
+

In application.conf: +

flags {
+  enableUniqueCheck = true
+}
+folders {
+  generatedReportsFolderPath = "/opt/app/data/report"
+}
+

+
+
+
    +
  1. Click on Advanced Configuration towards the bottom of the screen
  2. +
  3. Click on Flag and click on Unique Check
  4. +
  5. Click on Folder and enter /tmp/data-caterer/report for Generated Reports Folder Path
  6. +
+
+
+
+

Run

+

Now we can run via the script ./run.sh that is in the top level directory of the data-caterer-example to run the class we just +created.

+
+
+
+
./run.sh MyIcebergJavaPlan
+
+
+
+
./run.sh MyIcebergPlan
+
+
+
+
./run.sh my-iceberg.yaml
+
+
+
+
    +
  1. Click on Execute at the top
  2. +
+
+
+
+

Congratulations! You have now made a data generator that has simulated a real world data scenario. You can check the +IcebergJavaPlan.java or IcebergPlan.scala files as well to check that your plan is the same.

+

Validation

+

If you want to validate data from an Iceberg source, +follow the validation documentation found here to help guide you.

+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/guide/data-source/file/json/index.html b/setup/guide/data-source/file/json/index.html new file mode 100644 index 00000000..43ad59ff --- /dev/null +++ b/setup/guide/data-source/file/json/index.html @@ -0,0 +1,3454 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + JSON Test Data Management - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

JSON

+

Creating a data generator for JSON. You will have the ability to generate and validate JSON files via Docker.

+

Requirements

+
    +
  • 10 minutes
  • +
  • Git
  • +
  • Gradle
  • +
  • Docker
  • +
+

Get Started

+

First, we will clone the data-caterer-example repo which will already have the base project setup required.

+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+ +
+
+

Plan Setup

+

Create a new Java or Scala class.

+
    +
  • Java: src/main/java/io/github/datacatering/plan/MyJSONJavaPlan.java
  • +
  • Scala: src/main/scala/io/github/datacatering/plan/MyJSONPlan.scala
  • +
+

Make sure your class extends PlanRun.

+
+
+
+
import io.github.datacatering.datacaterer.java.api.PlanRun;
+
+public class MyJSONJavaPlan extends PlanRun {
+}
+
+
+
+
import io.github.datacatering.datacaterer.api.PlanRun
+
+class MyJSONPlan extends PlanRun {
+}
+
+
+
+
+

This class defines where we need to define all of our configurations for generating data. There are helper variables and +methods defined to make it simple and easy to use.

+

Connection Configuration

+

Within our class, we can start by defining the connection properties to read/write from/to JSON.

+
+
+
+
var accountTask = json(
+    "customer_accounts",                    //name
+    "/opt/app/data/customer/account_json",  //path
+    Map.of()                                //additional options
+);
+
+

Additional options can be found here.

+
+
+
val accountTask = json(
+  "customer_accounts",                    //name         
+  "/opt/app/data/customer/account_json",  //path
+  Map()                                   //additional options
+)
+
+

Additional options can be found here.

+
+
+
+

Schema

+

Depending on how you want to define the schema, follow the below:

+ +

Let's create a task for generating data as accounts and then generate data for transactions, which will be related +to the accounts generated.

+
+
+
+
var accountTask = json("customer_accounts", "/opt/app/data/customer/account_json")
+        .schema(
+            field().name("account_id"),
+            field().name("balance").type(new DecimalType(5, 2)),
+            field().name("created_by"),
+            field().name("open_time").type(TimestampType.instance()),
+            field().name("status"),
+            field().name("customer_details")
+                .schema(
+                    field().name("name"),
+                    field().name("age").type(IntegerType.instance()),
+                    field().name("city")
+                )
+        );
+
+
+
+
val accountTask = json("customer_accounts", "/opt/app/data/customer/account_json")
+  .schema(
+    field.name("account_id"),
+    field.name("balance").`type`(new DecimalType(5, 2)),
+    field.name("created_by"),
+    field.name("open_time").`type`(TimestampType),
+    field.name("status"),
+    field.name("customer_details")
+      .schema(
+        field.name("name"),
+        field.name("age").`type`(IntegerType),
+        field.name("city")
+      )
+  )
+
+
+
+
+

Additional Configurations

+

At the end of data generation, a report gets generated that summarises the actions it performed. We can control the +output folder of that report via configurations. We will also enable the unique check to ensure any unique fields will +have unique values generated.

+
+
+
+
var config = configuration()
+        .generatedReportsFolderPath("/opt/app/data/report")
+        .enableUniqueCheck(true);
+
+execute(myPlan, config, accountTask, transactionTask);
+
+
+
+
val config = configuration
+  .generatedReportsFolderPath("/opt/app/data/report")
+  .enableUniqueCheck(true)
+
+execute(myPlan, config, accountTask, transactionTask)
+
+
+
+
+

Run

+

Now we can run via the script ./run.sh that is in the top level directory of the data-caterer-example to run the class we just +created.

+
./run.sh
+#input class MyJSONJavaPlan or MyJSONPlan
+#after completing, let's pick an account and check the transactions for that account
+account=$(head -1 docker/sample/customer/account_json/part-00000-* | sed -nr 's/.*account_id":"(.+)","balance.*/\1/p')
+echo "Head account record:"
+head -1 docker/sample/customer/account_json/part-00000-*
+echo $account
+echo "Transaction records:"
+cat docker/sample/customer/transaction_json/part-0000* | grep $account
+
+

It should look something like this.

+
Head account record:
+{"account_id":"ACC00047541","balance":445.62,"created_by":"event","open_time":"2024-03-13T00:31:38.836Z","status":"suspended","customer_details":{"name":"Joey Gaylord","age":44,"city":"Lake Jose"}}
+ACC00047541
+Transaction records:
+{"account_id":"ACC00047541","full_name":"Joey Gaylord","amount":31.485424217447527,"time":"2023-11-07T04:50:20.875Z","date":"2023-11-07"}
+{"account_id":"ACC00047541","full_name":"Joey Gaylord","amount":79.22177964401857,"time":"2024-02-01T15:15:38.289Z","date":"2024-02-01"}
+{"account_id":"ACC00047541","full_name":"Joey Gaylord","amount":56.06230355456882,"time":"2024-02-29T21:42:42.473Z","date":"2024-02-29"}
+
+

Congratulations! You have now made a data generator that has simulated a real world data scenario. You can check the +JsonJavaPlan.java or JsonPlan.scala files as well to check that your plan is the same.

+

Validation

+

If you want to validate data from a JSON source, +follow the validation documentation found here to help guide you.

+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/guide/data-source/file/orc/index.html b/setup/guide/data-source/file/orc/index.html new file mode 100644 index 00000000..dc9b8b24 --- /dev/null +++ b/setup/guide/data-source/file/orc/index.html @@ -0,0 +1,3398 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + ORC Test Data Management - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

ORC

+

Creating a data generator for ORC. You will have the ability to generate and validate ORC files via Docker.

+

Requirements

+
    +
  • 10 minutes
  • +
  • Git
  • +
  • Gradle
  • +
  • Docker
  • +
+

Get Started

+

First, we will clone the data-caterer-example repo which will already have the base project setup required.

+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+ +
+
+

Plan Setup

+

Create a new Java or Scala class.

+
    +
  • Java: src/main/java/io/github/datacatering/plan/MyORCJavaPlan.java
  • +
  • Scala: src/main/scala/io/github/datacatering/plan/MyORCPlan.scala
  • +
+

Make sure your class extends PlanRun.

+
+
+
+
import io.github.datacatering.datacaterer.java.api.PlanRun;
+
+public class MyORCJavaPlan extends PlanRun {
+}
+
+
+
+
import io.github.datacatering.datacaterer.api.PlanRun
+
+class MyORCPlan extends PlanRun {
+}
+
+
+
+
+

This class defines where we need to define all of our configurations for generating data. There are helper variables and +methods defined to make it simple and easy to use.

+

Connection Configuration

+

Within our class, we can start by defining the connection properties to read/write from/to ORC.

+
+
+
+
var accountTask = orc(
+    "customer_accounts",                  //name
+    "/opt/app/data/customer/account_orc", //path
+    Map.of()                              //additional options
+);
+
+

Additional options can be found here.

+
+
+
val accountTask = orc(
+  "customer_accounts",                  //name         
+  "/opt/app/data/customer/account_orc", //path
+  Map()                                 //additional options
+)
+
+

Additional options can be found here.

+
+
+
+

Schema

+

Depending on how you want to define the schema, follow the below:

+ +

Additional Configurations

+

At the end of data generation, a report gets generated that summarises the actions it performed. We can control the +output folder of that report via configurations. We will also enable the unique check to ensure any unique fields will +have unique values generated.

+
+
+
+
var config = configuration()
+        .generatedReportsFolderPath("/opt/app/data/report")
+        .enableUniqueCheck(true);
+
+execute(myPlan, config, accountTask, transactionTask);
+
+
+
+
val config = configuration
+  .generatedReportsFolderPath("/opt/app/data/report")
+  .enableUniqueCheck(true)
+
+execute(myPlan, config, accountTask, transactionTask)
+
+
+
+
+

Run

+

Now we can run via the script ./run.sh that is in the top level directory of the data-caterer-example to run the class we just +created.

+
./run.sh
+#input class MyORCJavaPlan or MyORCPlan
+
+

Congratulations! You have now made a data generator that has simulated a real world data scenario. You can check the +ORCJavaPlan.java or ORCPlan.scala files as well to check that your plan is the same.

+

Validation

+

If you want to validate data from a ORC source, +follow the validation documentation found here to help guide you.

+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/guide/data-source/file/parquet/index.html b/setup/guide/data-source/file/parquet/index.html new file mode 100644 index 00000000..dc31388f --- /dev/null +++ b/setup/guide/data-source/file/parquet/index.html @@ -0,0 +1,3398 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Parquet Test Data Management - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Parquet

+

Creating a data generator for Parquet. You will have the ability to generate and validate Parquet files via Docker.

+

Requirements

+
    +
  • 10 minutes
  • +
  • Git
  • +
  • Gradle
  • +
  • Docker
  • +
+

Get Started

+

First, we will clone the data-caterer-example repo which will already have the base project setup required.

+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+ +
+
+

Plan Setup

+

Create a new Java or Scala class.

+
    +
  • Java: src/main/java/io/github/datacatering/plan/MyParquetJavaPlan.java
  • +
  • Scala: src/main/scala/io/github/datacatering/plan/MyParquetPlan.scala
  • +
+

Make sure your class extends PlanRun.

+
+
+
+
import io.github.datacatering.datacaterer.java.api.PlanRun;
+
+public class MyParquetJavaPlan extends PlanRun {
+}
+
+
+
+
import io.github.datacatering.datacaterer.api.PlanRun
+
+class MyParquetPlan extends PlanRun {
+}
+
+
+
+
+

This class defines where we need to define all of our configurations for generating data. There are helper variables and +methods defined to make it simple and easy to use.

+

Connection Configuration

+

Within our class, we can start by defining the connection properties to read/write from/to Parquet.

+
+
+
+
var accountTask = parquet(
+    "customer_accounts",                      //name
+    "/opt/app/data/customer/account_parquet", //path
+    Map.of()                                  //additional options
+);
+
+

Additional options can be found here.

+
+
+
val accountTask = parquet(
+  "customer_accounts",                      //name         
+  "/opt/app/data/customer/account_parquet", //path
+  Map()                                     //additional options
+)
+
+

Additional options can be found here.

+
+
+
+

Schema

+

Depending on how you want to define the schema, follow the below:

+ +

Additional Configurations

+

At the end of data generation, a report gets generated that summarises the actions it performed. We can control the +output folder of that report via configurations. We will also enable the unique check to ensure any unique fields will +have unique values generated.

+
+
+
+
var config = configuration()
+        .generatedReportsFolderPath("/opt/app/data/report")
+        .enableUniqueCheck(true);
+
+execute(myPlan, config, accountTask, transactionTask);
+
+
+
+
val config = configuration
+  .generatedReportsFolderPath("/opt/app/data/report")
+  .enableUniqueCheck(true)
+
+execute(myPlan, config, accountTask, transactionTask)
+
+
+
+
+

Run

+

Now we can run via the script ./run.sh that is in the top level directory of the data-caterer-example to run the class we just +created.

+
./run.sh
+#input class MyParquetJavaPlan or MyParquetPlan
+
+

Congratulations! You have now made a data generator that has simulated a real world data scenario. You can check the +ParquetJavaPlan.java or ParquetPlan.scala files as well to check that your plan is the same.

+

Validation

+

If you want to validate data from a Parquet source, +follow the validation documentation found here to help guide you.

+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/guide/data-source/http/http/index.html b/setup/guide/data-source/http/http/index.html new file mode 100644 index 00000000..ccb0846d --- /dev/null +++ b/setup/guide/data-source/http/http/index.html @@ -0,0 +1,3570 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + HTTP Test Data Management - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

HTTP Source

+
+

Info

+

Generating data based on OpenAPI/Swagger document and pushing to HTTP endpoint is a paid feature.

+
+

Creating a data generator based on an OpenAPI/Swagger document.

+

Generate HTTP requests

+

Requirements

+
    +
  • 10 minutes
  • +
  • Git
  • +
  • Gradle
  • +
  • Docker
  • +
+

Get Started

+

First, we will clone the data-caterer-example repo which will already have the base project setup required.

+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+ +
+
+

HTTP Setup

+

We will be using the http-bin docker image to help simulate a service with HTTP endpoints.

+

Start it via:

+
cd docker
+docker-compose up -d http
+docker ps
+
+

Plan Setup

+

Create a new Java or Scala class.

+
    +
  • Java: src/main/java/io/github/datacatering/plan/MyAdvancedHttpJavaPlanRun.java
  • +
  • Scala: src/main/scala/io/github/datacatering/plan/MyAdvancedHttpPlanRun.scala
  • +
+

Make sure your class extends PlanRun.

+
+
+
+
import io.github.datacatering.datacaterer.java.api.PlanRun;
+...
+
+public class MyAdvancedHttpJavaPlanRun extends PlanRun {
+    {
+        var conf = configuration().enableGeneratePlanAndTasks(true)
+            .generatedReportsFolderPath("/opt/app/data/report");
+    }
+}
+
+
+
+
import io.github.datacatering.datacaterer.api.PlanRun
+...
+
+class MyAdvancedHttpPlanRun extends PlanRun {
+  val conf = configuration.enableGeneratePlanAndTasks(true)
+    .generatedReportsFolderPath("/opt/app/data/report")
+}
+
+
+
+
+

We will enable generate plan and tasks so that we can read from external sources for metadata and save the reports +under a folder we can easily access.

+

Schema

+

We can point the schema of a data source to a OpenAPI/Swagger document or URL. For this example, we will use the OpenAPI +document found under docker/mount/http/petstore.json in the data-caterer-example repo. This is a simplified version of +the original OpenAPI spec that can be found here.

+

We have kept the following endpoints to test out:

+
    +
  • GET /pets - get all pets
  • +
  • POST /pets - create a new pet
  • +
  • GET /pets/{id} - get a pet by id
  • +
  • DELETE /pets/{id} - delete a pet by id
  • +
+
+
+
+
var httpTask = http("my_http")
+        .schema(metadataSource().openApi("/opt/app/mount/http/petstore.json"))
+        .count(count().records(2));
+
+
+
+
val httpTask = http("my_http")
+  .schema(metadataSource.openApi("/opt/app/mount/http/petstore.json"))
+  .count(count.records(2))
+
+
+
+
+

The above defines that the schema will come from an OpenAPI document found on the pathway defined. It will then generate +2 requests per request method and endpoint combination.

+

Run

+

Let's try run and see what happens.

+
cd ..
+./run.sh
+#input class MyAdvancedHttpJavaPlanRun or MyAdvancedHttpPlanRun
+#after completing
+docker logs -f docker-http-1
+
+

It should look something like this.

+
172.21.0.1 [06/Nov/2023:01:06:53 +0000] GET /anything/pets?tags%3DeXQxFUHVja+EYm%26limit%3D33895 HTTP/1.1 200 Host: host.docker.internal}
+172.21.0.1 [06/Nov/2023:01:06:53 +0000] GET /anything/pets?tags%3DSXaFvAqwYGF%26tags%3DjdNRFONA%26limit%3D40975 HTTP/1.1 200 Host: host.docker.internal}
+172.21.0.1 [06/Nov/2023:01:06:56 +0000] POST /anything/pets HTTP/1.1 200 Host: host.docker.internal}
+172.21.0.1 [06/Nov/2023:01:06:56 +0000] POST /anything/pets HTTP/1.1 200 Host: host.docker.internal}
+172.21.0.1 [06/Nov/2023:01:07:00 +0000] GET /anything/pets/kbH8D7rDuq HTTP/1.1 200 Host: host.docker.internal}
+172.21.0.1 [06/Nov/2023:01:07:00 +0000] GET /anything/pets/REsa0tnu7dvekGDvxR HTTP/1.1 200 Host: host.docker.internal}
+172.21.0.1 [06/Nov/2023:01:07:03 +0000] DELETE /anything/pets/EqrOr1dHFfKUjWb HTTP/1.1 200 Host: host.docker.internal}
+172.21.0.1 [06/Nov/2023:01:07:03 +0000] DELETE /anything/pets/7WG7JHPaNxP HTTP/1.1 200 Host: host.docker.internal}
+
+

Looks like we have some data now. But we can do better and add some enhancements to it.

+

Foreign keys

+

The four different requests that get sent could have the same id passed across to each of them if we define a foreign +key relationship. This will make it more realistic to a real life scenario as pets get created and queried by a +particular id value. We note that the id value is first used when a pet is created in the body of the POST request. +Then it gets used as a path parameter in the DELETE and GET requests.

+

To link them all together, we must follow a particular pattern when referring to request body, query parameter or path +parameter columns.

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
HTTP TypeColumn PrefixExample
Request BodybodyContentbodyContent.id
Path ParameterpathParampathParamid
Query ParameterqueryParamqueryParamid
HeaderheaderheaderContent_Type
+

Also note, that when creating a foreign field definition for a HTTP data source, to refer to a specific endpoint and +method, we have to follow the pattern of {http method}{http path}. For example, POST/pets. Let's apply this +knowledge to link all the id values together.

+
+
+
+
var myPlan = plan().addForeignKeyRelationship(
+        foreignField("my_http", "POST/pets", "bodyContent.id"),     //source of foreign key value
+        foreignField("my_http", "DELETE/pets/{id}", "pathParamid"),
+        foreignField("my_http", "GET/pets/{id}", "pathParamid")
+);
+
+execute(myPlan, conf, httpTask);
+
+
+
+
val myPlan = plan.addForeignKeyRelationship(
+  foreignField("my_http", "POST/pets", "bodyContent.id"),     //source of foreign key value
+  foreignField("my_http", "DELETE/pets/{id}", "pathParamid"),
+  foreignField("my_http", "GET/pets/{id}", "pathParamid")
+)
+
+execute(myPlan, conf, httpTask)
+
+
+
+
+

Let's test it out by running it again

+
./run.sh
+#input class MyAdvancedHttpJavaPlanRun or MyAdvancedHttpPlanRun
+docker logs -f docker-http-1
+
+
172.21.0.1 [06/Nov/2023:01:33:59 +0000] GET /anything/pets?limit%3D45971 HTTP/1.1 200 Host: host.docker.internal}
+172.21.0.1 [06/Nov/2023:01:34:00 +0000] GET /anything/pets?limit%3D62015 HTTP/1.1 200 Host: host.docker.internal}
+172.21.0.1 [06/Nov/2023:01:34:04 +0000] POST /anything/pets HTTP/1.1 200 Host: host.docker.internal}
+172.21.0.1 [06/Nov/2023:01:34:05 +0000] POST /anything/pets HTTP/1.1 200 Host: host.docker.internal}
+172.21.0.1 [06/Nov/2023:01:34:09 +0000] DELETE /anything/pets/5e HTTP/1.1 200 Host: host.docker.internal}
+172.21.0.1 [06/Nov/2023:01:34:09 +0000] DELETE /anything/pets/IHPm2 HTTP/1.1 200 Host: host.docker.internal}
+172.21.0.1 [06/Nov/2023:01:34:14 +0000] GET /anything/pets/IHPm2 HTTP/1.1 200 Host: host.docker.internal}
+172.21.0.1 [06/Nov/2023:01:34:14 +0000] GET /anything/pets/5e HTTP/1.1 200 Host: host.docker.internal}
+
+

Now we have the same id values being produced across the POST, DELETE and GET requests! What if we knew that the id +values should follow a particular pattern?

+

Custom metadata

+

So given that we have defined a foreign key where the root of the foreign key values is from the POST request, we can +update the metadata of the id column for the POST request and it will proliferate to the other endpoints as well. +Given the id column is a nested column as noted in the foreign key, we can alter its metadata via the following:

+
+
+
+
var httpTask = http("my_http")
+        .schema(metadataSource().openApi("/opt/app/mount/http/petstore.json"))
+        .schema(field().name("bodyContent").schema(field().name("id").regex("ID[0-9]{8}")))
+        .count(count().records(2));
+
+
+
+
val httpTask = http("my_http")
+  .schema(metadataSource.openApi("/opt/app/mount/http/petstore.json"))
+  .schema(field.name("bodyContent").schema(field.name("id").regex("ID[0-9]{8}")))
+  .count(count.records(2))
+
+
+
+
+

We first get the column bodyContent, then get the nested schema and get the column id and add metadata stating that +id should follow the patter ID[0-9]{8}.

+

Let's try run again, and hopefully we should see some proper ID values.

+
./run.sh
+#input class MyAdvancedHttpJavaPlanRun or MyAdvancedHttpPlanRun
+docker logs -f docker-http-1
+
+
172.21.0.1 [06/Nov/2023:01:45:45 +0000] GET /anything/pets?tags%3D10fWnNoDz%26limit%3D66804 HTTP/1.1 200 Host: host.docker.internal}
+172.21.0.1 [06/Nov/2023:01:45:46 +0000] GET /anything/pets?tags%3DhyO6mI8LZUUpS HTTP/1.1 200 Host: host.docker.internal}
+172.21.0.1 [06/Nov/2023:01:45:50 +0000] POST /anything/pets HTTP/1.1 200 Host: host.docker.internal}
+172.21.0.1 [06/Nov/2023:01:45:51 +0000] POST /anything/pets HTTP/1.1 200 Host: host.docker.internal}
+172.21.0.1 [06/Nov/2023:01:45:52 +0000] DELETE /anything/pets/ID55185420 HTTP/1.1 200 Host: host.docker.internal}
+172.21.0.1 [06/Nov/2023:01:45:52 +0000] DELETE /anything/pets/ID20618951 HTTP/1.1 200 Host: host.docker.internal}
+172.21.0.1 [06/Nov/2023:01:45:57 +0000] GET /anything/pets/ID55185420 HTTP/1.1 200 Host: host.docker.internal}
+172.21.0.1 [06/Nov/2023:01:45:57 +0000] GET /anything/pets/ID20618951 HTTP/1.1 200 Host: host.docker.internal}
+
+

Great! Now we have replicated a production-like flow of HTTP requests.

+

Ordering

+

If you wanted to change the ordering of the requests, you can alter the order from within the OpenAPI/Swagger document. +This is particularly useful when you want to simulate the same flow that users would take when utilising your +application (i.e. create account, query account, update account).

+

Rows per second

+

By default, Data Caterer will push requests per method and endpoint at a rate of around 5 requests per second. If you +want to alter this value, you can do so via the below configuration. The lowest supported requests per second is 1.

+
+
+
+
import io.github.datacatering.datacaterer.api.model.Constants;
+
+...
+var httpTask = http("my_http", Map.of(Constants.ROWS_PER_SECOND(), "1"))
+        ...
+
+
+
+
import io.github.datacatering.datacaterer.api.model.Constants.ROWS_PER_SECOND
+
+...
+val httpTask = http("my_http", options = Map(ROWS_PER_SECOND -> "1"))
+  ...
+
+
+
+
+

Check out the full example under AdvancedHttpPlanRun in the example repo.

+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/guide/data-source/messaging/kafka/index.html b/setup/guide/data-source/messaging/kafka/index.html new file mode 100644 index 00000000..f9fd4825 --- /dev/null +++ b/setup/guide/data-source/messaging/kafka/index.html @@ -0,0 +1,3660 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Kafka Test Data Management - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Kafka

+
+

Info

+

Writing data to Kafka is a paid feature.

+
+

Creating a data generator for Kafka. You will build a Docker image that will be able to populate data in kafka +for the topics you configure.

+

Requirements

+
    +
  • 10 minutes
  • +
  • Git
  • +
  • Gradle
  • +
  • Docker
  • +
  • Kafka
  • +
+

Get Started

+

First, we will clone the data-caterer-example repo which will already have the base project setup required.

+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+ +
+
+

If you already have a Kafka instance running, you can skip to this step.

+

Kafka Setup

+

Next, let's make sure you have an instance of Kafka up and running in your local environment. This will make it +easy for us to iterate and check our changes.

+
cd docker
+docker-compose up -d kafka
+
+

Plan Setup

+

Create a new Java or Scala class.

+
    +
  • Java: src/main/java/io/github/datacatering/plan/MyAdvancedKafkaJavaPlan.java
  • +
  • Scala: src/main/scala/io/github/datacatering/plan/MyAdvancedKafkaPlan.scala
  • +
+

Make sure your class extends PlanRun.

+
+
+
+
import io.github.datacatering.datacaterer.java.api.PlanRun;
+
+public class MyAdvancedKafkaJavaPlan extends PlanRun {
+}
+
+
+
+
import io.github.datacatering.datacaterer.api.PlanRun
+
+class MyAdvancedKafkaPlan extends PlanRun {
+}
+
+
+
+
+

This class defines where we need to define all of our configurations for generating data. There are helper variables and +methods defined to make it simple and easy to use.

+

Connection Configuration

+

Within our class, we can start by defining the connection properties to connect to Kafka.

+
+
+
+
var accountTask = kafka(
+    "my_kafka",       //name
+    "localhost:9092", //url
+    Map.of()          //optional additional connection options
+);
+
+

Additional options can be found here.

+
+
+
val accountTask = kafka(
+    "my_kafka",       //name
+    "localhost:9092", //url
+    Map()             //optional additional connection options
+)
+
+

Additional options can be found here.

+
+
+
+

Schema

+

Let's create a task for inserting data into the account-topic that is already +defined underdocker/data/kafka/setup_kafka.sh. This topic should already be setup for you if you followed this +step. We can check if the topic is set up already via the following command:

+
docker exec docker-kafkaserver-1 kafka-topics --bootstrap-server localhost:9092 --list
+
+

Trimming the connection details to work with the docker-compose Kafka, we have a base Kafka connection to define +the topic we will publish to. Let's define each field along with their corresponding data type. You will notice that +the text fields do not have a data type defined. This is because the default data type is StringType.

+
+
+
+
{
+    var kafkaTask = kafka("my_kafka", "kafkaserver:29092")
+            .topic("account-topic")
+            .schema(
+                    field().name("key").sql("content.account_id"),
+                    field().name("value").sql("TO_JSON(content)"),
+                    //field().name("partition").type(IntegerType.instance()),  can define partition here
+                    field().name("headers")
+                            .type(ArrayType.instance())
+                            .sql(
+                                    "ARRAY(" +
+                                            "NAMED_STRUCT('key', 'account-id', 'value', TO_BINARY(content.account_id, 'utf-8'))," +
+                                            "NAMED_STRUCT('key', 'updated', 'value', TO_BINARY(content.details.updated_by.time, 'utf-8'))" +
+                                            ")"
+                            ),
+                    field().name("content")
+                            .schema(
+                                    field().name("account_id").regex("ACC[0-9]{8}"),
+                                    field().name("year").type(IntegerType.instance()),
+                                    field().name("amount").type(DoubleType.instance()),
+                                    field().name("details")
+                                            .schema(
+                                                    field().name("name").expression("#{Name.name}"),
+                                                    field().name("first_txn_date").type(DateType.instance()).sql("ELEMENT_AT(SORT_ARRAY(content.transactions.txn_date), 1)"),
+                                                    field().name("updated_by")
+                                                            .schema(
+                                                                    field().name("user"),
+                                                                    field().name("time").type(TimestampType.instance())
+                                                            )
+                                            ),
+                                    field().name("transactions").type(ArrayType.instance())
+                                            .schema(
+                                                    field().name("txn_date").type(DateType.instance()).min(Date.valueOf("2021-01-01")).max("2021-12-31"),
+                                                    field().name("amount").type(DoubleType.instance())
+                                            )
+                            ),
+                    field().name("tmp_year").sql("content.year").omit(true),
+                    field().name("tmp_name").sql("content.details.name").omit(true)
+            )
+}
+
+
+
+
val kafkaTask = kafka("my_kafka", "kafkaserver:29092")
+  .topic("account-topic")
+  .schema(
+    field.name("key").sql("content.account_id"),
+    field.name("value").sql("TO_JSON(content)"),
+    //field.name("partition").type(IntegerType),  can define partition here
+    field.name("headers")
+      .`type`(ArrayType)
+      .sql(
+        """ARRAY(
+          |  NAMED_STRUCT('key', 'account-id', 'value', TO_BINARY(content.account_id, 'utf-8')),
+          |  NAMED_STRUCT('key', 'updated', 'value', TO_BINARY(content.details.updated_by.time, 'utf-8'))
+          |)""".stripMargin
+      ),
+    field.name("content")
+      .schema(
+        field.name("account_id").regex("ACC[0-9]{8}"),
+        field.name("year").`type`(IntegerType).min(2021).max(2023),
+        field.name("amount").`type`(DoubleType),
+        field.name("details")
+          .schema(
+            field.name("name").expression("#{Name.name}"),
+            field.name("first_txn_date").`type`(DateType).sql("ELEMENT_AT(SORT_ARRAY(content.transactions.txn_date), 1)"),
+            field.name("updated_by")
+              .schema(
+                field.name("user"),
+                field.name("time").`type`(TimestampType),
+              ),
+          ),
+        field.name("transactions").`type`(ArrayType)
+          .schema(
+            field.name("txn_date").`type`(DateType).min(Date.valueOf("2021-01-01")).max("2021-12-31"),
+            field.name("amount").`type`(DoubleType),
+          )
+      ),
+    field.name("tmp_year").sql("content.year").omit(true),
+    field.name("tmp_name").sql("content.details.name").omit(true)
+  )
+
+
+
+
+

Fields

+

The schema defined for Kafka has a format that needs to be followed as noted above. Specifically, the required fields are: +- value

+

Whilst, the other fields are optional:

+
    +
  • key
  • +
  • partition
  • +
  • headers
  • +
+
headers
+

headers follows a particular pattern that where it is of type array<struct<key: string,value: binary>>. To be able +to generate data for this data type, we need to use an SQL expression like the one below. You will notice that in the +value part, it refers to content.account_id where content is another field defined at the top level of the schema. +This allows you to reference other values that have already been generated.

+
+
+
+
field().name("headers")
+        .type(ArrayType.instance())
+        .sql(
+                "ARRAY(" +
+                        "NAMED_STRUCT('key', 'account-id', 'value', TO_BINARY(content.account_id, 'utf-8'))," +
+                        "NAMED_STRUCT('key', 'updated', 'value', TO_BINARY(content.details.updated_by.time, 'utf-8'))" +
+                        ")"
+        )
+
+
+
+
field.name("headers")
+  .`type`(ArrayType)
+  .sql(
+    """ARRAY(
+      |  NAMED_STRUCT('key', 'account-id', 'value', TO_BINARY(content.account_id, 'utf-8')),
+      |  NAMED_STRUCT('key', 'updated', 'value', TO_BINARY(content.details.updated_by.time, 'utf-8'))
+      |)""".stripMargin
+  )
+
+
+
+
+
transactions
+

transactions is an array that contains an inner structure of txn_date and amount. The size of the array generated +can be controlled via arrayMinLength and arrayMaxLength.

+
+
+
+
field().name("transactions").type(ArrayType.instance())
+        .schema(
+                field().name("txn_date").type(DateType.instance()).min(Date.valueOf("2021-01-01")).max("2021-12-31"),
+                field().name("amount").type(DoubleType.instance())
+        )
+
+
+
+
field.name("transactions").`type`(ArrayType)
+  .schema(
+    field.name("txn_date").`type`(DateType).min(Date.valueOf("2021-01-01")).max("2021-12-31"),
+    field.name("amount").`type`(DoubleType),
+  )
+
+
+
+
+
details
+

details is another example of a nested schema structure where it also has a nested structure itself in updated_by. +One thing to note here is the first_txn_date field has a reference to the content.transactions array where it will +sort the array by txn_date and get the first element.

+
+
+
+
field().name("details")
+        .schema(
+                field().name("name").expression("#{Name.name}"),
+                field().name("first_txn_date").type(DateType.instance()).sql("ELEMENT_AT(SORT_ARRAY(content.transactions.txn_date), 1)"),
+                field().name("updated_by")
+                        .schema(
+                                field().name("user"),
+                                field().name("time").type(TimestampType.instance())
+                        )
+        )
+
+
+
+
field.name("details")
+  .schema(
+    field.name("name").expression("#{Name.name}"),
+    field.name("first_txn_date").`type`(DateType).sql("ELEMENT_AT(SORT_ARRAY(content.transactions.txn_date), 1)"),
+    field.name("updated_by")
+      .schema(
+        field.name("user"),
+        field.name("time").`type`(TimestampType),
+      ),
+  )
+
+
+
+
+

Additional Configurations

+

At the end of data generation, a report gets generated that summarises the actions it performed. We can control the +output folder of that report via configurations.

+
+
+
+
var config = configuration()
+        .generatedReportsFolderPath("/opt/app/data/report");
+
+
+
+
val config = configuration
+  .generatedReportsFolderPath("/opt/app/data/report")
+
+
+
+
+

Execute

+

To tell Data Caterer that we want to run with the configurations along with the kafkaTask, we have to call execute +.

+

Run

+

Now we can run via the script ./run.sh that is in the top level directory of the data-caterer-example to run the class we just +created.

+
./run.sh
+#input class AdvancedKafkaJavaPlanRun or AdvancedKafkaPlanRun
+#after completing
+docker exec docker-kafkaserver-1 kafka-console-consumer --bootstrap-server localhost:9092 --topic account-topic --from-beginning
+
+

Your output should look like this.

+
{"account_id":"ACC56292178","year":2022,"amount":18338.627721151555,"details":{"name":"Isaias Reilly","first_txn_date":"2021-01-22","updated_by":{"user":"FgYXbKDWdhHVc3","time":"2022-12-30T13:49:07.309Z"}},"transactions":[{"txn_date":"2021-01-22","amount":30556.52125487579},{"txn_date":"2021-10-29","amount":39372.302259554635},{"txn_date":"2021-10-29","amount":61887.31389495968}]}
+{"account_id":"ACC37729457","year":2022,"amount":96885.31758764731,"details":{"name":"Randell Witting","first_txn_date":"2021-06-30","updated_by":{"user":"HCKYEBHN8AJ3TB","time":"2022-12-02T02:05:01.144Z"}},"transactions":[{"txn_date":"2021-06-30","amount":98042.09647765031},{"txn_date":"2021-10-06","amount":41191.43564742036},{"txn_date":"2021-11-16","amount":78852.08184809204},{"txn_date":"2021-10-09","amount":13747.157653571106}]}
+{"account_id":"ACC23127317","year":2023,"amount":81164.49304198896,"details":{"name":"Jed Wisozk","updated_by":{"user":"9MBFZZ","time":"2023-07-12T05:56:52.397Z"}},"transactions":[]}
+
+

Also check the HTML report, found at docker/sample/report/index.html, that gets generated to get an overview of what +was executed.

+

Sample report

+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/guide/data-source/messaging/solace/index.html b/setup/guide/data-source/messaging/solace/index.html new file mode 100644 index 00000000..3107322a --- /dev/null +++ b/setup/guide/data-source/messaging/solace/index.html @@ -0,0 +1,3657 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Solace Test Data Management - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Solace

+
+

Info

+

Writing data to Solace is a paid feature.

+
+

Creating a data generator for Solace. You will build a Docker image that will be able to populate data in Solace +for the queues/topics you configure.

+

Generate Solace messages

+

Requirements

+
    +
  • 10 minutes
  • +
  • Git
  • +
  • Gradle
  • +
  • Docker
  • +
  • Solace
  • +
+

Get Started

+

First, we will clone the data-caterer-example repo which will already have the base project setup required.

+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+ +
+
+

If you already have a Solace instance running, you can skip to this step.

+

Solace Setup

+

Next, let's make sure you have an instance of Solace up and running in your local environment. This will make it +easy for us to iterate and check our changes.

+
cd docker
+docker-compose up -d solace
+
+

Open up localhost:8080 and login with admin:admin and check there is the default VPN like +below. Notice there is 2 queues/topics created. If you do not see 2 created, try to run the script found under +docker/data/solace/setup_solace.sh and change the host to localhost.

+

Solace dashboard

+

Plan Setup

+

Create a new Java or Scala class.

+
    +
  • Java: src/main/java/io/github/datacatering/plan/MyAdvancedSolaceJavaPlan.java
  • +
  • Scala: src/main/scala/io/github/datacatering/plan/MyAdvancedSolacePlan.scala
  • +
+

Make sure your class extends PlanRun.

+
+
+
+
import io.github.datacatering.datacaterer.java.api.PlanRun;
+
+public class MyAdvancedSolaceJavaPlan extends PlanRun {
+}
+
+
+
+
import io.github.datacatering.datacaterer.api.PlanRun
+
+class MyAdvancedSolacePlan extends PlanRun {
+}
+
+
+
+
+

This class defines where we need to define all of our configurations for generating data. There are helper variables and +methods defined to make it simple and easy to use.

+

Connection Configuration

+

Within our class, we can start by defining the connection properties to connect to Solace.

+
+
+
+
var accountTask = solace(
+    "my_solace",                        //name
+    "smf://host.docker.internal:55554", //url
+    Map.of()                            //optional additional connection options
+);
+
+

Additional connection options can be found here.

+
+
+
val accountTask = solace(
+    "my_solace",                        //name
+    "smf://host.docker.internal:55554", //url
+    Map()                               //optional additional connection options
+)
+
+

Additional connection options can be found here.

+
+
+
+

Schema

+

Let's create a task for inserting data into the rest_test_queue or rest_test_topic that is already created for us +from this step.

+

Trimming the connection details to work with the docker-compose Solace, we have a base Solace connection to define +the JNDI destination we will publish to. Let's define each field along with their corresponding data type. You will +notice +that the text fields do not have a data type defined. This is because the default data type is StringType.

+
+
+
+
{
+    var solaceTask = solace("my_solace", "smf://host.docker.internal:55554")
+            .destination("/JNDI/Q/rest_test_queue")
+            .schema(
+                    field().name("value").sql("TO_JSON(content)"),
+                    //field().name("partition").type(IntegerType.instance()),   //can define message JMS priority here
+                    field().name("headers")                                     //set message properties via headers field
+                            .type(HeaderType.getType())
+                            .sql(
+                                    "ARRAY(" +
+                                            "NAMED_STRUCT('key', 'account-id', 'value', TO_BINARY(content.account_id, 'utf-8'))," +
+                                            "NAMED_STRUCT('key', 'updated', 'value', TO_BINARY(content.details.updated_by.time, 'utf-8'))" +
+                                            ")"
+                            ),
+                    field().name("content")
+                            .schema(
+                                    field().name("account_id").regex("ACC[0-9]{8}"),
+                                    field().name("year").type(IntegerType.instance()).min(2021).max(2023),
+                                    field().name("amount").type(DoubleType.instance()),
+                                    field().name("details")
+                                            .schema(
+                                                    field().name("name").expression("#{Name.name}"),
+                                                    field().name("first_txn_date").type(DateType.instance()).sql("ELEMENT_AT(SORT_ARRAY(content.transactions.txn_date), 1)"),
+                                                    field().name("updated_by")
+                                                            .schema(
+                                                                    field().name("user"),
+                                                                    field().name("time").type(TimestampType.instance())
+                                                            )
+                                            ),
+                                    field().name("transactions").type(ArrayType.instance())
+                                            .schema(
+                                                    field().name("txn_date").type(DateType.instance()).min(Date.valueOf("2021-01-01")).max("2021-12-31"),
+                                                    field().name("amount").type(DoubleType.instance())
+                                            )
+                            )
+            )
+            .count(count().records(10));
+}
+
+
+
+
val solaceTask = solace("my_solace", "smf://host.docker.internal:55554")
+  .destination("/JNDI/Q/rest_test_queue")
+  .schema(
+    field.name("value").sql("TO_JSON(content)"),
+    //field.name("partition").`type`(IntegerType),  //can define message JMS priority here
+    field.name("headers")                           //set message properties via headers field
+      .`type`(HeaderType.getType)
+      .sql(
+        """ARRAY(
+          |  NAMED_STRUCT('key', 'account-id', 'value', TO_BINARY(content.account_id, 'utf-8')),
+          |  NAMED_STRUCT('key', 'updated', 'value', TO_BINARY(content.details.updated_by.time, 'utf-8'))
+          |)""".stripMargin
+      ),
+    field.name("content")
+      .schema(
+        field.name("account_id").regex("ACC[0-9]{8}"),
+        field.name("year").`type`(IntegerType).min(2021).max(2023),
+        field.name("amount").`type`(DoubleType),
+        field.name("details")
+          .schema(
+            field.name("name").expression("#{Name.name}"),
+            field.name("first_txn_date").`type`(DateType).sql("ELEMENT_AT(SORT_ARRAY(content.transactions.txn_date), 1)"),
+            field.name("updated_by")
+              .schema(
+                field.name("user"),
+                field.name("time").`type`(TimestampType),
+              ),
+          ),
+        field.name("transactions").`type`(ArrayType)
+          .schema(
+            field.name("txn_date").`type`(DateType).min(Date.valueOf("2021-01-01")).max("2021-12-31"),
+            field.name("amount").`type`(DoubleType),
+          )
+      ),
+  ).count(count.records(10))
+
+
+
+
+

Fields

+

The schema defined for Solace has a format that needs to be followed as noted above. Specifically, the required fields +are:

+
    +
  • value
  • +
+

Whilst, the other fields are optional:

+
    +
  • partition - refers to JMS priority of the message
  • +
  • headers - refers to JMS message properties
  • +
+
headers
+

headers follows a particular pattern that where it is of type HeaderType.getType which behind the scenes, translates +toarray<struct<key: string,value: binary>>. To be able to generate data for this data type, we need to use an SQL +expression like the one below. You will notice that in thevalue part, it refers to content.account_id where +content is another field defined at the top level of the schema. This allows you to reference other values that have +already been generated.

+
+
+
+
field().name("headers")
+        .type(HeaderType.getType())
+        .sql(
+                "ARRAY(" +
+                        "NAMED_STRUCT('key', 'account-id', 'value', TO_BINARY(content.account_id, 'utf-8'))," +
+                        "NAMED_STRUCT('key', 'updated', 'value', TO_BINARY(content.details.updated_by.time, 'utf-8'))" +
+                        ")"
+        )
+
+
+
+
field.name("headers")
+  .`type`(HeaderType.getType)
+  .sql(
+    """ARRAY(
+      |  NAMED_STRUCT('key', 'account-id', 'value', TO_BINARY(content.account_id, 'utf-8')),
+      |  NAMED_STRUCT('key', 'updated', 'value', TO_BINARY(content.details.updated_by.time, 'utf-8'))
+      |)""".stripMargin
+  )
+
+
+
+
+
transactions
+

transactions is an array that contains an inner structure of txn_date and amount. The size of the array generated +can be controlled via arrayMinLength and arrayMaxLength.

+
+
+
+
field().name("transactions").type(ArrayType.instance())
+        .schema(
+                field().name("txn_date").type(DateType.instance()).min(Date.valueOf("2021-01-01")).max("2021-12-31"),
+                field().name("amount").type(DoubleType.instance())
+        )
+
+
+
+
field.name("transactions").`type`(ArrayType)
+  .schema(
+    field.name("txn_date").`type`(DateType).min(Date.valueOf("2021-01-01")).max("2021-12-31"),
+    field.name("amount").`type`(DoubleType),
+  )
+
+
+
+
+
details
+

details is another example of a nested schema structure where it also has a nested structure itself in updated_by. +One thing to note here is the first_txn_date field has a reference to the content.transactions array where it will +sort the array by txn_date and get the first element.

+
+
+
+
field().name("details")
+        .schema(
+                field().name("name").expression("#{Name.name}"),
+                field().name("first_txn_date").type(DateType.instance()).sql("ELEMENT_AT(SORT_ARRAY(content.transactions.txn_date), 1)"),
+                field().name("updated_by")
+                        .schema(
+                                field().name("user"),
+                                field().name("time").type(TimestampType.instance())
+                        )
+        )
+
+
+
+
field.name("details")
+  .schema(
+    field.name("name").expression("#{Name.name}"),
+    field.name("first_txn_date").`type`(DateType).sql("ELEMENT_AT(SORT_ARRAY(content.transactions.txn_date), 1)"),
+    field.name("updated_by")
+      .schema(
+        field.name("user"),
+        field.name("time").`type`(TimestampType),
+      ),
+  )
+
+
+
+
+

Additional Configurations

+

At the end of data generation, a report gets generated that summarises the actions it performed. We can control the +output folder of that report via configurations.

+
+
+
+
var config = configuration()
+        .generatedReportsFolderPath("/opt/app/data/report");
+
+
+
+
val config = configuration
+  .generatedReportsFolderPath("/opt/app/data/report")
+
+
+
+
+

Execute

+

To tell Data Caterer that we want to run with the configurations along with the kafkaTask, we have to call execute.

+

Run

+

Now we can run via the script ./run.sh that is in the top level directory of the data-caterer-example to run the +class we just created.

+
./run.sh
+#input class AdvancedSolaceJavaPlanRun or AdvancedSolacePlanRun
+#after completing, check http://localhost:8080 from browser
+
+

Your output should look like this.

+

Solace messages queued

+

Unfortunately, there is no easy way to see the message content. You can check the message content from your application +or service that consumes these messages.

+

Also check the HTML report, found at docker/sample/report/index.html, that gets generated to get an overview of what +was executed. Or view the sample report found here.

+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/guide/data-source/metadata/great-expectations/index.html b/setup/guide/data-source/metadata/great-expectations/index.html new file mode 100644 index 00000000..5ab7e136 --- /dev/null +++ b/setup/guide/data-source/metadata/great-expectations/index.html @@ -0,0 +1,3467 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Using Great Expectations for Test Data Management - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Great Expectations Source

+
+

Info

+

Generating data based on an external metadata source is a paid feature.

+
+

Creating a data generator for a JSON file and validating the data based on expectations +in Great Expectations.

+

Requirements

+
    +
  • 10 minutes
  • +
  • Git
  • +
  • Gradle
  • +
  • Docker
  • +
+

Get Started

+

First, we will clone the data-caterer-example repo which will already have the base project setup required.

+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+ +
+
+

Great Expectations Setup

+

A sample expectations file that will be used for this guide can be found +here.

+

If you want to use your own expectations file, simply add it into the docker/mount/ge folder path and follow the below +steps.

+

Plan Setup

+

Create a new Java or Scala class.

+
    +
  • Java: src/main/java/io/github/datacatering/plan/MyAdvancedGreatExpectationsJavaPlanRun.java
  • +
  • Scala: src/main/scala/io/github/datacatering/plan/MyAdvancedGreatExpectationsPlanRun.scala
  • +
+

Make sure your class extends PlanRun.

+
+
+
+
import io.github.datacatering.datacaterer.java.api.PlanRun;
+...
+
+public class MyAdvancedGreatExpectationsJavaPlanRun extends PlanRun {
+    {
+        var conf = configuration().enableGenerateValidations(true)
+            .generatedReportsFolderPath("/opt/app/data/report");
+    }
+}
+
+
+
+
import io.github.datacatering.datacaterer.api.PlanRun
+...
+
+class MyAdvancedGreatExpectationsPlanRun extends PlanRun {
+  val conf = configuration.enableGenerateValidations(true)
+    .generatedReportsFolderPath("/opt/app/data/report")
+}
+
+
+
+
+

We will enable generate validations so that we can read from external sources for validations and save the reports +under a folder we can easily access.

+

Great Expectations

+

To point to a specific expectations file, we create a metadata source as seen below.

+
+
+
+
var greatExpectationsSource = metadataSource().greatExpectations("/opt/app/mount/ge/taxi-expectations.json");
+
+
+
+
val greatExpectationsSource = metadataSource.greatExpectations("/opt/app/mount/ge/taxi-expectations.json")
+
+
+
+
+

Schema & Validation

+

To simulate a scenario where we have an existing data source, we will manually create a sample dataset.

+

At the end, we point to our expectations metadata source to use those validations to validate the data.

+
+
+
+
var jsonTask = json("my_json", "/opt/app/data/json", Map.of("saveMode", "overwrite"))
+        .schema(
+                field().name("vendor_id"),
+                field().name("pickup_datetime").type(TimestampType.instance()),
+                field().name("dropoff_datetime").type(TimestampType.instance()),
+                field().name("passenger_count").type(IntegerType.instance()),
+                field().name("trip_distance").type(DoubleType.instance()),
+                field().name("rate_code_id"),
+                field().name("store_and_fwd_flag"),
+                field().name("pickup_location_id"),
+                field().name("dropoff_location_id"),
+                field().name("payment_type"),
+                field().name("fare_amount").type(DoubleType.instance()),
+                field().name("extra"),
+                field().name("mta_tax").type(DoubleType.instance()),
+                field().name("tip_amount").type(DoubleType.instance()),
+                field().name("tolls_amount").type(DoubleType.instance()),
+                field().name("improvement_surcharge").type(DoubleType.instance()),
+                field().name("total_amount").type(DoubleType.instance()),
+                field().name("congestion_surcharge").type(DoubleType.instance())
+        )
+        .validations(greatExpectations);
+
+
+
+
val jsonTask = json("my_json", "/opt/app/data/taxi_json", Map("saveMode" -> "overwrite"))
+  .schema(
+    field.name("vendor_id"),
+    field.name("pickup_datetime").`type`(TimestampType),
+    field.name("dropoff_datetime").`type`(TimestampType),
+    field.name("passenger_count").`type`(IntegerType),
+    field.name("trip_distance").`type`(DoubleType),
+    field.name("rate_code_id"),
+    field.name("store_and_fwd_flag"),
+    field.name("pickup_location_id"),
+    field.name("dropoff_location_id"),
+    field.name("payment_type"),
+    field.name("fare_amount").`type`(DoubleType),
+    field.name("extra"),
+    field.name("mta_tax").`type`(DoubleType),
+    field.name("tip_amount").`type`(DoubleType),
+    field.name("tolls_amount").`type`(DoubleType),
+    field.name("improvement_surcharge").`type`(DoubleType),
+    field.name("total_amount").`type`(DoubleType),
+    field.name("congestion_surcharge").`type`(DoubleType),
+  )
+  .validations(greatExpectationsSource)
+
+
+
+
+

Run

+

Let's try run and see what happens.

+
cd ..
+./run.sh
+#input class MyAdvancedGreatExpectationsJavaPlanRun or MyAdvancedGreatExpectationsPlanRun
+#after completing
+#open docker/sample/report/index.html
+
+

It should look something like this.

+

Validations HTML report

+

So we were just able to validate our data source from reading a Great Expectations file. Simple! +This gives us an easy way to integrate with existing data validations, but now we can relate that to +generated data in test environments.

+

But we still may want to add on our own validations outside what is in Great Expectations.

+

Custom validation

+

We found that we should also check that the trip_distance has to be less than 500 but was not included in Great +Expectations. No worries, we can simply add it in here alongside the existing expectations.

+
+
+
+
var jsonTask = json("my_json", "/opt/app/data/json", Map.of("saveMode", "overwrite"))
+        .schema(
+            ...
+        ))
+        .validations(greatExpectations)
+        .validations(validation().col("trip_distance").lessThan(500));
+
+
+
+
val jsonTask = json("my_json", "/opt/app/data/json", Map("saveMode" -> "overwrite"))
+  .schema(
+    ...
+  ))
+  .validations(greatExpectationsSource)
+  .validations(validation.col("trip_distance").lessThan(500))
+
+
+
+
+

Let's test it out by running it again

+
./run.sh
+#input class MyAdvancedGreatExpectationsJavaPlanRun or MyAdvancedGreatExpectationsJavaPlanRun
+#open docker/sample/report/index.html
+
+

Our custom validation applied alongside Great Expectation validations

+

Check out the full example under AdvancedGreatExpectationsPlanRun in the example repo.

+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/guide/data-source/metadata/marquez/index.html b/setup/guide/data-source/metadata/marquez/index.html new file mode 100644 index 00000000..13a8d1d8 --- /dev/null +++ b/setup/guide/data-source/metadata/marquez/index.html @@ -0,0 +1,3534 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Using Marquez for Test Data Management - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Metadata Source

+
+

Info

+

Generating data based on an external metadata source is a paid feature.

+
+

Creating a data generator for Postgres tables and CSV file based on metadata stored in Marquez ( +follows OpenLineage API).

+

Requirements

+
    +
  • 10 minutes
  • +
  • Git
  • +
  • Gradle
  • +
  • Docker
  • +
+

Get Started

+

First, we will clone the data-caterer-example repo which will already have the base project setup required.

+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+ +
+
+

Marquez Setup

+

You can follow the README found here to help with setting up Marquez in +your local environment. This comes with an instance of Postgres which we will also be using as a data store for +generated data.

+

The command that was run for this example to help with setup of dummy data was ./docker/up.sh -a 5001 -m 5002 --seed.

+

Check that the following url shows some data like below once you click on food_delivery +from the ns drop down in the top right corner.

+

Marquez dashboard

+

Postgres Setup

+

Since we will also be using the Marquez Postgres instance as a data source, we will set up a separate database to store +the generated data in via:

+
docker exec marquez-db psql -Upostgres -c 'CREATE DATABASE food_delivery'
+
+

Plan Setup

+

Create a new Java or Scala class.

+
    +
  • Java: src/main/java/io/github/datacatering/plan/MyAdvancedMetadataSourceJavaPlanRun.java
  • +
  • Scala: src/main/scala/io/github/datacatering/plan/MyAdvancedMetadataSourcePlanRun.scala
  • +
+

Make sure your class extends PlanRun.

+
+
+
+
import io.github.datacatering.datacaterer.java.api.PlanRun;
+...
+
+public class MyAdvancedMetadataSourceJavaPlanRun extends PlanRun {
+    {
+        var conf = configuration().enableGeneratePlanAndTasks(true)
+            .generatedReportsFolderPath("/opt/app/data/report");
+    }
+}
+
+
+
+
import io.github.datacatering.datacaterer.api.PlanRun
+...
+
+class MyAdvancedMetadataSourcePlanRun extends PlanRun {
+  val conf = configuration.enableGeneratePlanAndTasks(true)
+    .generatedReportsFolderPath("/opt/app/data/report")
+}
+
+
+
+
+

We will enable generate plan and tasks so that we can read from external sources for metadata and save the reports +under a folder we can easily access.

+

Schema

+

We can point the schema of a data source to our Marquez instance. For the Postgres data source, we will point to a +namespace, which in Marquez or OpenLineage, represents a set of datasets. For the CSV data source, we will point to +a specific namespace and dataset.

+
Single Schema
+
+
+
+
var csvTask = csv("my_csv", "/tmp/data/csv", Map.of("saveMode", "overwrite", "header", "true"))
+        .schema(metadataSource().marquez("http://localhost:5001", "food_delivery", "public.delivery_7_days"))
+        .count(count().records(10));
+
+
+
+
val csvTask = csv("my_csv", "/tmp/data/csv", Map("saveMode" -> "overwrite", "header" -> "true"))
+  .schema(metadataSource.marquez("http://localhost:5001", "food_delivery", "public.delivery_7_days"))
+  .count(count.records(10))
+
+
+
+
+

The above defines that the schema will come from Marquez, which is a type of metadata source that contains information +about schemas. Specifically, it points to the food_delivery namespace and public.categories dataset to retrieve the +schema information from.

+
Multiple Schemas
+
+
+
+
var postgresTask = postgres("my_postgres", "jdbc:postgresql://host.docker.internal:5432/food_delivery", "postgres", "password", Map.of())
+    .schema(metadataSource().marquez("http://host.docker.internal:5001", "food_delivery"))
+    .count(count().records(10));
+
+
+
+
val postgresTask = postgres("my_postgres", "jdbc:postgresql://host.docker.internal:5432/food_delivery", "postgres", "password")
+  .schema(metadataSource.marquez("http://host.docker.internal:5001", "food_delivery"))
+  .count(count.records(10))
+
+
+
+
+

We now have pointed this Postgres instance to produce multiple schemas that are defined under the food_delivery +namespace. Also note that we are using database food_delivery in Postgres to push our generated data to, and we have +set the number of records per sub data source (in this case, per table) to be 10.

+

Run

+

Let's try run and see what happens.

+
cd ..
+./run.sh
+#input class MyAdvancedMetadataSourceJavaPlanRun or MyAdvancedMetadataSourcePlanRun
+#after completing
+docker exec marquez-db psql -Upostgres -d food_delivery -c 'SELECT * FROM public.delivery_7_days'
+
+

It should look something like this.

+
 order_id |     order_placed_on     |   order_dispatched_on   |   order_delivered_on    |         customer_email         |                     customer_address                     | menu_id | restaurant_id |                        restaurant_address
+   | menu_item_id | category_id | discount_id | city_id | driver_id
+----------+-------------------------+-------------------------+-------------------------+--------------------------------+----------------------------------------------------------+---------+---------------+---------------------------------------------------------------
+---+--------------+-------------+-------------+---------+-----------
+    38736 | 2023-02-05 06:05:23.755 | 2023-09-08 04:29:10.878 | 2023-09-03 23:58:34.285 | april.skiles@hotmail.com       | 5018 Lang Dam, Gaylordfurt, MO 35172                     |   59841 |         30971 | Suite 439 51366 Bartoletti Plains, West Lashawndamouth, CA 242
+42 |        55697 |       36370 |       21574 |   88022 |     16569
+     4376 | 2022-12-19 14:39:53.442 | 2023-08-30 07:40:06.948 | 2023-03-15 20:38:26.11  | adelina.balistreri@hotmail.com | Apt. 340 9146 Novella Motorway, East Troyhaven, UT 34773 |   66195 |         42765 | Suite 670 8956 Rob Fork, Rennershire, CA 04524
+   |        26516 |       81335 |       87615 |   27433 |     45649
+    11083 | 2022-10-30 12:46:38.692 | 2023-06-02 13:05:52.493 | 2022-11-27 18:38:07.873 | johnny.gleason@gmail.com       | Apt. 385 99701 Lemke Place, New Irvin, RI 73305          |   66427 |         44438 | 1309 Danny Cape, Weimanntown, AL 15865
+   |        41686 |       36508 |       34498 |   24191 |     92405
+    58759 | 2023-07-26 14:32:30.883 | 2022-12-25 11:04:08.561 | 2023-04-21 17:43:05.86  | isabelle.ohara@hotmail.com     | 2225 Evie Lane, South Ardella, SD 90805                  |   27106 |         25287 | Suite 678 3731 Dovie Park, Port Luigi, ID 08250
+   |        94205 |       66207 |       81051 |   52553 |     27483
+
+

You can also try query some other tables. Let's also check what is in the CSV file.

+
$ head docker/sample/csv/part-0000*
+menu_item_id,category_id,discount_id,city_id,driver_id,order_id,order_placed_on,order_dispatched_on,order_delivered_on,customer_email,customer_address,menu_id,restaurant_id,restaurant_address
+72248,37098,80135,45888,5036,11090,2023-09-20T05:33:08.036+08:00,2023-05-16T23:10:57.119+08:00,2023-05-01T22:02:23.272+08:00,demetrice.rohan@hotmail.com,"406 Harmony Rue, Wisozkburgh, MD 12282",33762,9042,"Apt. 751 0796 Ellan Flats, Lake Chetville, WI 81957"
+41644,40029,48565,83373,89919,58359,2023-04-18T06:28:26.194+08:00,2022-10-15T18:17:48.998+08:00,2023-02-06T17:02:04.104+08:00,joannie.okuneva@yahoo.com,"Suite 889 022 Susan Lane, Zemlakport, OR 56996",27467,6216,"Suite 016 286 Derick Grove, Dooleytown, NY 14664"
+49299,53699,79675,40821,61764,72234,2023-07-16T21:33:48.739+08:00,2023-02-14T21:23:10.265+08:00,2023-09-18T02:08:51.433+08:00,ina.heller@yahoo.com,"Suite 600 86844 Heller Island, New Celestinestad, DE 42622",48002,12462,"5418 Okuneva Mountain, East Blairchester, MN 04060"
+83197,86141,11085,29944,81164,65382,2023-01-20T06:08:25.981+08:00,2023-01-11T13:24:32.968+08:00,2023-09-09T02:30:16.890+08:00,lakisha.bashirian@yahoo.com,"Suite 938 534 Theodore Lock, Port Caitlynland, LA 67308",69109,47727,"4464 Stewart Tunnel, Marguritemouth, AR 56791"
+
+

Looks like we have some data now. But we can do better and add some enhancements to it.

+

What if we wanted the same records in Postgres public.delivery_7_days to also show up in the CSV file? That's where we +can use a foreign key definition.

+

Foreign Key

+

We can take a look at the report (under docker/sample/report/index.html) to see what we need to do to create the +foreign key. From the overview, you should see under Tasks there is a my_postgres task which has +food_delivery_public.delivery_7_days as a step. Click on the link for food_delivery_public.delivery_7_days and it +will take us to a page where we can find out about the columns used in this table. Click on the Fields button on the +far right to see.

+

We can copy all of a subset of fields that we want matched across the CSV file and Postgres. For this example, we will +take all the fields.

+
+
+
+
var myPlan = plan().addForeignKeyRelationship(
+        postgresTask, List.of("key", "tmp_year", "tmp_name", "value"),
+        List.of(Map.entry(csvTask, List.of("account_number", "year", "name", "payload")))
+);
+
+var conf = ...
+
+execute(myPlan, conf, postgresTask, csvTask);
+
+
+
+
val foreignCols = List("order_id", "order_placed_on", "order_dispatched_on", "order_delivered_on", "customer_email",
+  "customer_address", "menu_id", "restaurant_id", "restaurant_address", "menu_item_id", "category_id", "discount_id",
+  "city_id", "driver_id")
+
+val myPlan = plan.addForeignKeyRelationships(
+  csvTask, foreignCols,
+  List(foreignField(postgresTask, "food_delivery_public.delivery_7_days", foreignCols))
+)
+
+val conf = ...
+
+execute(myPlan, conf, postgresTask, csvTask)
+
+
+
+
+

Notice how we have defined the csvTask and foreignCols as the main foreign key but for postgresTask, we had to +define it as a foreignField. This is because postgresTask has multiple tables within it, and we only want to define +our foreign key with respect to the public.delivery_7_days table. We use the step name (can be seen from the report) +to specify the table to target.

+

To test this out, we will truncate the public.delivery_7_days table in Postgres first, and then try run again.

+
docker exec marquez-db psql -Upostgres -d food_delivery -c 'TRUNCATE public.delivery_7_days'
+./run.sh
+#input class MyAdvancedMetadataSourceJavaPlanRun or MyAdvancedMetadataSourcePlanRun
+docker exec marquez-db psql -Upostgres -d food_delivery -c 'SELECT * FROM public.delivery_7_days'
+
+
 order_id |     order_placed_on     |   order_dispatched_on   |   order_delivered_on    |        customer_email        |
+       customer_address                     | menu_id | restaurant_id |                   restaurant_address                   | menu
+_item_id | category_id | discount_id | city_id | driver_id
+----------+-------------------------+-------------------------+-------------------------+------------------------------+-------------
+--------------------------------------------+---------+---------------+--------------------------------------------------------+-----
+---------+-------------+-------------+---------+-----------
+    53333 | 2022-10-15 08:40:23.394 | 2023-01-23 09:42:48.397 | 2023-08-12 08:50:52.397 | normand.aufderhar@gmail.com  | Apt. 036 449
+27 Wilderman Forge, Marvinchester, CT 15952 |   40412 |         70130 | Suite 146 98176 Schaden Village, Grahammouth, SD 12354 |
+   90141 |       44210 |       83966 |   78614 |     77449
+
+

Let's grab the first email from the Postgres table and check whether the same record exists in the CSV file.

+
$ cat docker/sample/csv/part-0000* | grep normand.aufderhar
+90141,44210,83966,78614,77449,53333,2022-10-15T08:40:23.394+08:00,2023-01-23T09:42:48.397+08:00,2023-08-12T08:50:52.397+08:00,normand.aufderhar@gmail.com,"Apt. 036 44927 Wilderman Forge, Marvinchester, CT 15952",40412,70130,"Suite 146 98176 Schaden Village, Grahammouth, SD 12354"
+
+

Great! Now we have the ability to get schema information from an external source, add our own foreign keys and generate +data.

+

Check out the full example under AdvancedMetadataSourcePlanRun in the example repo.

+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/guide/data-source/metadata/open-data-contract-standard/index.html b/setup/guide/data-source/metadata/open-data-contract-standard/index.html new file mode 100644 index 00000000..6bc07db1 --- /dev/null +++ b/setup/guide/data-source/metadata/open-data-contract-standard/index.html @@ -0,0 +1,3587 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Using Open Data Contract Standard (ODCS) for Test Data Management - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Open Data Contract Standard (ODCS) Source

+
+

Info

+

Generating data based on an external metadata source is a paid feature.

+
+

Creating a data generator for a CSV file based on metadata stored +in Open Data Contract Standard (ODCS).

+

Requirements

+
    +
  • 10 minutes
  • +
  • Git
  • +
  • Gradle
  • +
  • Docker
  • +
+

Get Started

+

First, we will clone the data-caterer-example repo which will already have the base project setup required.

+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+ +
+
+

Open Data Contract Standard (ODCS) Setup

+

You can follow the local docker setup found +here to help with setting up +Open Data Contract Standard (ODCS) in your local environment.

+

Plan Setup

+

Create a new Java or Scala class.

+
    +
  • Java: src/main/java/io/github/datacatering/plan/MyAdvancedODCSJavaPlanRun.java
  • +
  • Scala: src/main/scala/io/github/datacatering/plan/MyAdvancedODCSPlanRun.scala
  • +
  • YAML: docker/data/customer/plan/my-odcs.yaml
  • +
+

Make sure your class extends PlanRun.

+
+
+
+
import io.github.datacatering.datacaterer.java.api.PlanRun;
+...
+
+public class MyAdvancedODCSJavaPlanRun extends PlanRun {
+    {
+        var conf = configuration().enableGeneratePlanAndTasks(true)
+            .generatedReportsFolderPath("/opt/app/data/report");
+    }
+}
+
+
+
+
import io.github.datacatering.datacaterer.api.PlanRun
+...
+
+class MyAdvancedODCSPlanRun extends PlanRun {
+  val conf = configuration.enableGeneratePlanAndTasks(true)
+    .generatedReportsFolderPath("/opt/app/data/report")
+}
+
+
+
+

In docker/data/custom/plan/my-odcs.yaml: +

name: "my_odcs_plan"
+description: "Create account data in CSV via ODCS metadata"
+tasks:
+  - name: "csv_account_file"
+    dataSourceName: "customer_accounts"
+    enabled: true
+

+

In application.conf: +

flags {
+  enableUniqueCheck = true
+}
+folders {
+  generatedReportsFolderPath = "/opt/app/data/report"
+}
+

+
+
+
    +
  1. Click on Advanced Configuration towards the bottom of the screen
  2. +
  3. Click on Flag and click on Unique Check
  4. +
  5. Click on Folder and enter /tmp/data-caterer/report for Generated Reports Folder Path
  6. +
+
+
+
+

We will enable generate plan and tasks so that we can read from external sources for metadata and save the reports +under a folder we can easily access.

+

Schema

+

We can point the schema of a data source to our Open Data Contract Standard (ODCS) file.

+
+
+
+
var accountTask = csv("my_csv", "/opt/app/data/account-odcs", Map.of("header", "true"))
+        .schema(metadataSource().openDataContractStandard("/opt/app/mount/odcs/full-example.yaml"))
+        .count(count().records(100));
+
+
+
+
val accountTask = csv("customer_accounts", "/opt/app/data/customer/account-odcs", Map("header" -> "true"))
+  .schema(metadataSource.openDataContractStandard("/opt/app/mount/odcs/full-example.yaml"))
+  .count(count.records(100))
+
+
+
+

In docker/data/custom/task/file/csv/csv-odcs-account-task.yaml: +

name: "csv_account_file"
+steps:
+  - name: "accounts"
+    type: "csv"
+    options:
+      path: "/opt/app/data/csv/account-odcs"
+      metadata_source_type: "open_data_contract_standard"
+      dataContractFile: "/opt/app/mount/odcs/full-example.yaml"
+    count:
+      records: 100
+

+
+
+
    +
  1. Click on Connection tab at the top
  2. +
  3. Select ODCS as the data source and enter example-odcs
  4. +
  5. Copy this file into /tmp/odcs/full-example.yaml
  6. +
  7. Enter /tmp/odcs/full-example.yaml as the Contract File
  8. +
+
+
+
+

The above defines that the schema will come from Open Data Contract Standard (ODCS), which is a type of metadata source +that contains information about schemas. +Specifically, it points to the schema provided here +in the docker/mount/odcs folder of data-caterer-example repo.

+

Run

+

Let's try run and see what happens.

+
+
+
+
./run.sh MyAdvancedODCSJavaPlanRun
+head docker/sample/account-odcs/part-00000-*
+
+
+
+
./run.sh MyAdvancedODCSPlanRun
+head docker/sample/account-odcs/part-00000-*
+
+
+
+
./run.sh my-odcs.yaml
+head docker/sample/account-odcs/part-00000-*
+
+
+
+
    +
  1. Click on Execute at the top +
    head /tmp/data-caterer/customer/account-odcs/part-00000*
    +
  2. +
+
+
+
+

It should look something like this.

+
txn_ref_dt,rcvr_id,rcvr_cntry_code
+2023-07-11,PB0Wo dMx,nWlbRGIinpJfP
+2024-05-01,5GtkNkHfwuxLKdM,1a
+2024-05-01,OxuATCLAUIhHzr,gSxn2ct
+2024-05-22,P4qe,y9htWZhyjW
+
+

Looks like we have some data now. But we can do better and add some enhancements to it.

+

Custom metadata

+

We can see from the data generated, that it isn't quite what we want. Sometimes, the metadata is not sufficient for us +to produce production-like data yet, and we want to manually edit it. Let's try to add some enhancements to it.

+

Let's make the rcvr_id field follow the regex RC[0-9]{8} and the field rcvr_cntry_code should only be one of +either AU, US or TW. For the full guide on data generation options, +check the following page.

+
+
+
+
var accountTask = csv("my_csv", "/opt/app/data/account-odcs", Map.of("header", "true"))
+            .schema(metadata...)
+            .schema(
+                field().name("rcvr_id").regex("RC[0-9]{8}"),
+                field().name("rcvr_cntry_code").oneOf("AU", "US", "TW")
+            )
+            .count(count().records(100));
+
+
+
+
val accountTask = csv("customer_accounts", "/opt/app/data/customer/account-odcs", Map("header" -> "true"))
+  .schema(metadata...)
+  .schema(
+    field.name("rcvr_id").regex("RC[0-9]{8}"),
+    field.name("rcvr_cntry_code").oneOf("AU", "US", "TW")
+  )
+  .count(count.records(100))
+
+
+
+

In docker/data/custom/task/file/csv/csv-odcs-account-task.yaml: +

name: "csv_account_file"
+steps:
+  - name: "accounts"
+    type: "csv"
+    options:
+      path: "/opt/app/data/csv/account-odcs"
+    count:
+      records: 100
+    schema:
+      fields:
+        - name: "rcvr_id"
+          options:
+            regex: "RC[0-9]{8}"
+        - name: "rcvr_cntry_code"
+          options:
+            oneOf:
+              - "AU"
+              - "US"
+              - "TW"
+

+
+
+
    +
  1. Click on Generation and tick the Manual checkbox
  2. +
  3. Click on + Field
      +
    1. Go to rcvr_id field
    2. +
    3. Click on + dropdown next to string data type
    4. +
    5. Click Regex and enter RC[0-9]{8}
    6. +
    +
  4. +
  5. Click on + Field
      +
    1. Go to rcvr_cntry_code field
    2. +
    3. Click on + dropdown next to string data type
    4. +
    5. Click One Of and enter AU,US,TW
    6. +
    +
  6. +
+
+
+
+

Let's test it out by running it again

+
+
+
+
./run.sh MyAdvancedODCSJavaPlanRun
+head docker/sample/account-odcs/part-00000-*
+
+
+
+
./run.sh MyAdvancedODCSPlanRun
+head docker/sample/account-odcs/part-00000-*
+
+
+
+
./run.sh my-odcs.yaml
+head docker/sample/account-odcs/part-00000-*
+
+
+
+
    +
  1. Click on Execute at the top +
    head /tmp/data-caterer/customer/account-odcs/part-00000*
    +
  2. +
+
+
+
+
txn_ref_dt,rcvr_id,rcvr_cntry_code
+2024-02-15,RC02579393,US
+2023-08-18,RC14320425,AU
+2023-07-07,RC17915355,TW
+2024-06-07,RC47347046,TW
+
+

Great! Now we have the ability to get schema information from an external source, add our own metadata and generate +data.

+

Data validation

+

To find out what data validation options are available, check this link.

+

Another aspect of Open Data Contract Standard (ODCS) that can be leveraged is the definition of data quality rules. +Once the latest version of ODCS is released (version 3.x), there should be a vendor neutral definition of data quality +rules that Data Caterer can use. Once available, it will be as easy as enabling data validations +via enableGenerateValidations in configuration.

+
+
+
+
var conf = configuration().enableGeneratePlanAndTasks(true)
+    .enableGenerateValidations(true)
+    .generatedReportsFolderPath("/opt/app/data/report");
+
+execute(conf, accountTask);
+
+
+
+
val conf = configuration.enableGeneratePlanAndTasks(true)
+  .enableGenerateValidations(true)
+  .generatedReportsFolderPath("/opt/app/data/report")
+
+execute(conf, accountTask)
+
+
+
+
+

Check out the full example under AdvancedODCSSourcePlanRun in the example repo.

+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/guide/data-source/metadata/open-metadata/index.html b/setup/guide/data-source/metadata/open-metadata/index.html new file mode 100644 index 00000000..8fdc907b --- /dev/null +++ b/setup/guide/data-source/metadata/open-metadata/index.html @@ -0,0 +1,3612 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Using OpenMetadata for Test Data Management - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

OpenMetadata Source

+
+

Info

+

Generating data based on an external metadata source is a paid feature.

+
+

Creating a data generator for a JSON file based on metadata stored +in OpenMetadata.

+

Requirements

+
    +
  • 10 minutes
  • +
  • Git
  • +
  • Gradle
  • +
  • Docker
  • +
+

Get Started

+

First, we will clone the data-caterer-example repo which will already have the base project setup required.

+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+ +
+
+

OpenMetadata Setup

+

You can follow the local docker setup found +here to help with setting up +OpenMetadata in your local environment.

+

If that page becomes outdated or the link doesn't work, below are the commands I used to run it:

+
mkdir openmetadata-docker && cd openmetadata-docker
+curl -sL https://github.com/open-metadata/OpenMetadata/releases/download/1.2.0-release/docker-compose.yml > docker-compose.yml
+docker compose -f docker-compose.yml up --detach
+
+

Check that the following url works and login with admin:admin. Then you should see some data +like below:

+

OpenMetadata dashboard

+

Plan Setup

+

Create a new Java or Scala class.

+
    +
  • Java: src/main/java/io/github/datacatering/plan/MyAdvancedOpenMetadataSourceJavaPlanRun.java
  • +
  • Scala: src/main/scala/io/github/datacatering/plan/MyAdvancedOpenMetadataSourcePlanRun.scala
  • +
+

Make sure your class extends PlanRun.

+
+
+
+
import io.github.datacatering.datacaterer.java.api.PlanRun;
+...
+
+public class MyAdvancedOpenMetadataSourceJavaPlanRun extends PlanRun {
+    {
+        var conf = configuration().enableGeneratePlanAndTasks(true)
+            .generatedReportsFolderPath("/opt/app/data/report");
+    }
+}
+
+
+
+
import io.github.datacatering.datacaterer.api.PlanRun
+...
+
+class MyAdvancedOpenMetadataSourcePlanRun extends PlanRun {
+  val conf = configuration.enableGeneratePlanAndTasks(true)
+    .generatedReportsFolderPath("/opt/app/data/report")
+}
+
+
+
+
+

We will enable generate plan and tasks so that we can read from external sources for metadata and save the reports +under a folder we can easily access.

+

Schema

+

We can point the schema of a data source to our OpenMetadata instance. We will use a JSON data source so that we can +show how nested data types are handled and how we could customise it.

+
Single Schema
+
+
+
+
import io.github.datacatering.datacaterer.api.model.Constants;
+...
+
+var jsonTask = json("my_json", "/opt/app/data/json", Map.of("saveMode", "overwrite"))
+        .schema(metadataSource().openMetadataJava(
+            "http://localhost:8585/api",                                                              //url
+            Constants.OPEN_METADATA_AUTH_TYPE_OPEN_METADATA(),                                        //auth type
+            Map.of(                                                                                   //additional options (including auth options)
+                Constants.OPEN_METADATA_JWT_TOKEN(), "abc123",                                        //get from settings/bots/ingestion-bot
+                Constants.OPEN_METADATA_TABLE_FQN(), "sample_data.ecommerce_db.shopify.raw_customer"  //table fully qualified name
+            )
+        ))
+        .count(count().records(10));
+
+
+
+
import io.github.datacatering.datacaterer.api.model.Constants.{OPEN_METADATA_AUTH_TYPE_OPEN_METADATA, OPEN_METADATA_JWT_TOKEN, OPEN_METADATA_TABLE_FQN, SAVE_MODE}
+...
+
+val jsonTask = json("my_json", "/opt/app/data/json", Map("saveMode" -> "overwrite"))
+  .schema(metadataSource.openMetadata(
+    "http://localhost:8585/api",                                                  //url
+    OPEN_METADATA_AUTH_TYPE_OPEN_METADATA,                                        //auth type
+    Map(                                                                          //additional options (including auth options)
+      OPEN_METADATA_JWT_TOKEN -> "abc123",                                        //get from settings/bots/ingestion-bot
+      OPEN_METADATA_TABLE_FQN -> "sample_data.ecommerce_db.shopify.raw_customer"  //table fully qualified name
+    )
+  ))
+  .count(count.records(10))
+
+
+
+
+

The above defines that the schema will come from OpenMetadata, which is a type of metadata source that contains +information about schemas. Specifically, it points to the sample_data.ecommerce_db.shopify.raw_customer table. You +can check out the schema here to +see what it looks like.

+

Run

+

Let's try run and see what happens.

+
cd ..
+./run.sh
+#input class MyAdvancedOpenMetadataSourceJavaPlanRun or MyAdvancedOpenMetadataSourcePlanRun
+#after completing
+cat docker/sample/json/part-00000-*
+
+

It should look something like this.

+
{
+  "comments": "Mh6jqpD5e4M",
+  "creditcard": "6771839575926717",
+  "membership": "Za3wCQUl9E  EJj712",
+  "orders": [
+    {
+      "product_id": "Aa6NG0hxfHVq",
+      "price": 16139,
+      "onsale": false,
+      "tax": 58134,
+      "weight": 40734,
+      "others": 45813,
+      "vendor": "Kh"
+    },
+    {
+      "product_id": "zbHBY ",
+      "price": 17903,
+      "onsale": false,
+      "tax": 39526,
+      "weight": 9346,
+      "others": 52035,
+      "vendor": "jbkbnXAa"
+    },
+    {
+      "product_id": "5qs3gakppd7Nw5",
+      "price": 48731,
+      "onsale": true,
+      "tax": 81105,
+      "weight": 2004,
+      "others": 20465,
+      "vendor": "nozCDMSXRPH Ev"
+    },
+    {
+      "product_id": "CA6h17ANRwvb",
+      "price": 62102,
+      "onsale": true,
+      "tax": 96601,
+      "weight": 78849,
+      "others": 79453,
+      "vendor": " ihVXEJz7E2EFS"
+    }
+  ],
+  "platform": "GLt9",
+  "preference": {
+    "key": "nmPmsPjg C",
+    "value": true
+  },
+  "shipping_address": [
+    {
+      "name": "Loren Bechtelar",
+      "street_address": "Suite 526 293 Rohan Road, Wunschshire, NE 25532",
+      "city": "South Norrisland",
+      "postcode": "56863"
+    }
+  ],
+  "shipping_date": "2022-11-03",
+  "transaction_date": "2023-02-01",
+  "customer": {
+    "username": "lance.murphy",
+    "name": "Zane Brakus DVM",
+    "sex": "7HcAaPiO",
+    "address": "594 Loida Haven, Gilland, MA 26071",
+    "mail": "Un3fhbvK2rEbenIYdnq",
+    "birthdate": "2023-01-31"
+  }
+}
+
+

Looks like we have some data now. But we can do better and add some enhancements to it.

+

Custom metadata

+

We can see from the data generated, that it isn't quite what we want. The metadata is not sufficient for us to produce +production-like data yet. Let's try to add some enhancements to it.

+

Let's make the platform field a choice field that can only be a set of certain values and the nested +field customer.sex is also from a predefined set of values.

+
+
+
+
var jsonTask = json("my_json", "/opt/app/data/json", Map.of("saveMode", "overwrite"))
+            .schema(
+                metadata...
+            ))
+            .schema(
+                field().name("platform").oneOf("website", "mobile"),
+                field().name("customer").schema(field().name("sex").oneOf("M", "F", "O"))
+            )
+            .count(count().records(10));
+
+
+
+
val jsonTask = json("my_json", "/opt/app/data/json", Map("saveMode" -> "overwrite"))
+  .schema(
+    metadata...
+  ))
+  .schema(
+    field.name("platform").oneOf("website", "mobile"),
+    field.name("customer").schema(field.name("sex").oneOf("M", "F", "O"))
+  )
+  .count(count.records(10))
+
+
+
+
+

Let's test it out by running it again

+
./run.sh
+#input class MyAdvancedMetadataSourceJavaPlanRun or MyAdvancedMetadataSourcePlanRun
+cat docker/sample/json/part-00000-*
+
+
{
+  "comments": "vqbPUm",
+  "creditcard": "6304867705548636",
+  "membership": "GZ1xOnpZSUOKN",
+  "orders": [
+    {
+      "product_id": "rgOokDAv",
+      "price": 77367,
+      "onsale": false,
+      "tax": 61742,
+      "weight": 87855,
+      "others": 26857,
+      "vendor": "04XHR64ImMr9T"
+    }
+  ],
+  "platform": "mobile",
+  "preference": {
+    "key": "IB5vNdWka",
+    "value": true
+  },
+  "shipping_address": [
+    {
+      "name": "Isiah Bins",
+      "street_address": "36512 Ross Spurs, Hillhaven, IA 18760",
+      "city": "Averymouth",
+      "postcode": "75818"
+    },
+    {
+      "name": "Scott Prohaska",
+      "street_address": "26573 Haley Ports, Dariusland, MS 90642",
+      "city": "Ashantimouth",
+      "postcode": "31792"
+    },
+    {
+      "name": "Rudolf Stamm",
+      "street_address": "Suite 878 0516 Danica Path, New Christiaport, ID 10525",
+      "city": "Doreathaport",
+      "postcode": "62497"
+    }
+  ],
+  "shipping_date": "2023-08-24",
+  "transaction_date": "2023-02-01",
+  "customer": {
+    "username": "jolie.cremin",
+    "name": "Fay Klein",
+    "sex": "O",
+    "address": "Apt. 174 5084 Volkman Creek, Hillborough, PA 61959",
+    "mail": "BiTmzb7",
+    "birthdate": "2023-04-07"
+  }
+}
+
+

Great! Now we have the ability to get schema information from an external source, add our own metadata and generate +data.

+

Data validation

+

Another aspect of OpenMetadata that can be leveraged is the definition of data quality rules. These rules can be +incorporated into your Data Caterer job as well by enabling data validations via enableGenerateValidations in +configuration.

+
+
+
+
var conf = configuration().enableGeneratePlanAndTasks(true)
+    .enableGenerateValidations(true)
+    .generatedReportsFolderPath("/opt/app/data/report");
+
+execute(conf, jsonTask);
+
+
+
+
val conf = configuration.enableGeneratePlanAndTasks(true)
+  .enableGenerateValidations(true)
+  .generatedReportsFolderPath("/opt/app/data/report")
+
+execute(conf, jsonTask)
+
+
+
+
+

Check out the full example under AdvancedOpenMetadataSourcePlanRun in the example repo.

+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/guide/index.html b/setup/guide/index.html new file mode 100644 index 00000000..f78e8ff9 --- /dev/null +++ b/setup/guide/index.html @@ -0,0 +1,3456 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Guides - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Guides

+

Below are a list of guides you can follow to create your first Data Catering job for your use case.

+

Data Sources

+

Databases

+
+
    +
  • Cassandra - Generate/validate data for Cassandra
  • +
  • MySQL - Generate/validate data for MySQL
  • +
  • Postgres - Generate/validate data for Postgres
  • +
+
+

Files

+
+
    +
  • CSV - Generate/validate data for CSV
  • +
  • Delta Lake - Generate/validate data for Delta Lake
  • +
  • Iceberg - Generate/validate data for Iceberg tables
  • +
  • JSON - Generate/validate data for JSON
  • +
  • ORC - Generate/validate data for ORC
  • +
  • Parquet - Generate/validate data for Parquet
  • +
+
+

HTTP

+
+
    +
  • REST API - Generate data for REST APIs
  • +
+
+

Messaging

+
+
    +
  • Kafka - Generate data for Kafka topics
  • +
  • Solace - Generate data for Solace messages
  • +
+
+

Metadata

+
+
    +
  • Great Expectations - Use validations from Great Expectations for testing
  • +
  • Marquez - Generate data based on metadata in Marquez
  • +
  • OpenMetadata - Generate data based on metadata in OpenMetadata
  • +
+
+

Scenarios

+
+ +
+

YAML Files

+

Base Concept

+

The execution of the data generator is based on the concept of plans and tasks. A plan represent the set of tasks that +need to be executed, +along with other information that spans across tasks, such as foreign keys between data sources.
+A task represent the component(s) of a data source and its associated metadata so that it understands what the data +should look like +and how many steps (sub data sources) there are (i.e. tables in a database, topics in Kafka). Tasks can define one or +more steps.

+

Plan

+

Foreign Keys

+

Define foreign keys across data sources in your plan to ensure generated data can match
+Link to associated task 1
+Link to associated task 2

+

Task

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Data Source TypeData SourceSample TaskNotes
DatabasePostgresSample
DatabaseMySQLSample
DatabaseCassandraSample
FileCSVSample
FileJSONSampleContains nested schemas and use of SQL for generated values
FileParquetSamplePartition by year column
Messaging SystemKafkaSampleSpecific base schema to be used, define headers, key, value, etc.
Messaging SystemSolaceSampleJSON formatted message
HTTPPUTSampleJSON formatted PUT body
+

Configuration

+

Basic configuration

+

Docker-compose

+

To see how it runs against different data sources, you can run using docker-compose and set DATA_SOURCE like below

+
./gradlew build
+cd docker
+DATA_SOURCE=postgres docker-compose up -d datacaterer
+
+

Can set it to one of the following:

+
    +
  • postgres
  • +
  • mysql
  • +
  • cassandra
  • +
  • solace
  • +
  • kafka
  • +
  • http
  • +
+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/guide/scenario/auto-generate-connection/index.html b/setup/guide/scenario/auto-generate-connection/index.html new file mode 100644 index 00000000..5a219d0f --- /dev/null +++ b/setup/guide/scenario/auto-generate-connection/index.html @@ -0,0 +1,3442 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Automated data generation and validation tool - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Auto Generate From Data Connection

+
+

Info

+

Auto data generation from data connection is a paid feature.

+
+

Creating a data generator based on only a data connection to Postgres.

+

Requirements

+
    +
  • 5 minutes
  • +
  • Git
  • +
  • Gradle
  • +
  • Docker
  • +
+

Get Started

+

First, we will clone the data-caterer-example repo which will already have the base project setup required.

+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+ +
+
+

Plan Setup

+

Create a new Java or Scala class.

+
    +
  • Java: src/main/java/io/github/datacatering/plan/MyAdvancedAutomatedJavaPlanRun.java
  • +
  • Scala: src/main/scala/io/github/datacatering/plan/MyAdvancedAutomatedPlanRun.scala
  • +
+

Make sure your class extends PlanRun.

+
+
+
+
import io.github.datacatering.datacaterer.java.api.PlanRun;
+...
+
+public class MyAdvancedAutomatedJavaPlanRun extends PlanRun {
+    {
+        var autoRun = configuration()
+                .postgres("my_postgres", "jdbc:postgresql://host.docker.internal:5432/customer")  (1)
+                .enableGeneratePlanAndTasks(true)                                                 (2)
+                .generatedPlanAndTaskFolderPath("/opt/app/data/generated")                        (3)
+                .enableUniqueCheck(true)                                                          (4)
+                .generatedReportsFolderPath("/opt/app/data/report");
+
+        execute(autoRun);
+    }
+}
+
+
+
+
import io.github.datacatering.datacaterer.api.PlanRun
+...
+
+class MyAdvancedAutomatedPlanRun extends PlanRun {
+
+  val autoRun = configuration
+    .postgres("my_postgres", "jdbc:postgresql://host.docker.internal:5432/customer")  (1)
+    .enableGeneratePlanAndTasks(true)                                                 (2)
+    .generatedPlanAndTaskFolderPath("/opt/app/data/generated")                        (3)
+    .enableUniqueCheck(true)                                                          (4)
+    .generatedReportsFolderPath("/opt/app/data/report")
+
+  execute(configuration = autoRun)
+}
+
+
+
+
+

In the above code, we note the following:

+
    +
  1. Data source configuration to a Postgres data source called my_postgres
  2. +
  3. We have enabled the flag enableGeneratePlanAndTasks which tells Data Caterer to go to my_postgres and generate + data for all the tables found under the database customer (which is defined in the connection string).
  4. +
  5. The config generatedPlanAndTaskFolderPath defines where the metadata that is gathered from my_postgres should be + saved at so that we could re-use it later.
  6. +
  7. enableUniqueCheck is set to true to ensure that generated data is unique based on primary key or foreign key + definitions.
  8. +
+
+

Note

+

Unique check will only ensure generated data is unique. Any existing data in your data source is not taken into +account, so generated data may fail to insert depending on the data source restrictions

+
+

Postgres Setup

+

If you don't have your own Postgres up and running, you can set up and run an instance configured in the docker +folder via.

+
cd docker
+docker-compose up -d postgres
+docker exec docker-postgresserver-1 psql -Upostgres -d customer -c '\dt+ account.*'
+
+

This will create the tables found under docker/data/sql/postgres/customer.sql. You can change this file to contain +your own tables. We can see there are 4 tables created for us, accounts, balances, transactions and mapping.

+

Run

+

Let's try run.

+
cd ..
+./run.sh
+#input class MyAdvancedAutomatedJavaPlanRun or MyAdvancedAutomatedPlanRun
+#after completing
+docker exec docker-postgresserver-1 psql -Upostgres -d customer -c 'select * from account.accounts limit 1;'
+
+

It should look something like this.

+
   id   | account_number  | account_status | created_by | created_by_fixed_length | customer_id_int | customer_id_smallint | customer_id_bigint |   customer_id_decimal    | customer_id_real | customer_id_double | open_date  |     open_timestamp      | last_opened_time |                                                           payload_bytes
+--------+-----------------+----------------+------------+-------------------------+-----------------+----------------------+--------------------+--------------------------+------------------+--------------------+------------+-------------------------+------------------+------------------------------------------------------------------------------------------------------------------------------------
+ 100414 | 5uROOVOUyQUbubN | h3H            | SfA0eZJcTm | CuRw                    |              13 |                   42 |               6041 | 76987.745612542900000000 |         91866.78 |  66400.37433202339 | 2023-03-05 | 2023-08-14 11:33:11.343 | 23:58:01.736     | \x604d315d4547616e6a233050415373317274736f5e682d516132524f3d23233c37463463322f342d34376d597e665d6b3d395b4238284028622b7d6d2b4f5042
+(1 row)
+
+

The data that gets inserted will follow the foreign keys that are defined within Postgres and also ensure the insertion +order is correct.

+

Also check the HTML report that gets generated under docker/sample/report/index.html. You can see a summary of what +was generated along with other metadata.

+

You can now look to play around with other tables or data sources and auto generate for them.

+

Additional Topics

+

Learn From Existing Data

+

If you have any existing data within your data source, Data Caterer will gather metadata about the existing data to +help guide it when generating new data. There are configurations that can help tune the metadata analysis found +here.

+

Filter Out Schema/Tables

+

As part of your connection definition, you can define any schemas and/or tables your don't want to generate data for. In +the example below, it will not generate any data for any tables under the history and audit schemas. Also, any +table with the name balances or transactions in any schema will also not have data generated.

+
+
+
+
var autoRun = configuration()
+        .postgres(
+              "my_postgres", 
+              "jdbc:postgresql://host.docker.internal:5432/customer",
+              Map.of(
+                  "filterOutSchema", "history, audit",
+                  "filterOutTable", "balances, transactions")
+              )
+        )
+
+
+
+
val autoRun = configuration
+  .postgres(
+    "my_postgres",
+    "jdbc:postgresql://host.docker.internal:5432/customer",
+    Map(
+      "filterOutSchema" -> "history, audit",
+      "filterOutTable" -> "balances, transactions")
+    )
+  )
+
+
+
+
+

Define record count

+

You can control the record count per sub data source via numRecordsPerStep.

+
+
+
+
var autoRun = configuration()
+      ...
+      .numRecordsPerStep(100)
+
+execute(autoRun)
+
+
+
+
val autoRun = configuration
+  ...
+  .numRecordsPerStep(100)
+
+execute(configuration = autoRun)
+
+
+
+
+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/guide/scenario/batch-and-event/index.html b/setup/guide/scenario/batch-and-event/index.html new file mode 100644 index 00000000..fd48b4a6 --- /dev/null +++ b/setup/guide/scenario/batch-and-event/index.html @@ -0,0 +1,3611 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Automated batch and event data generation and validation tool - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Generate Batch and Event Data

+
+

Info

+

Generating event data is a paid feature.

+
+

Creating a data generator for Kafka topic with matching records in a CSV file.

+

Requirements

+
    +
  • 5 minutes
  • +
  • Git
  • +
  • Gradle
  • +
  • Docker
  • +
+

Get Started

+

First, we will clone the data-caterer-example repo which will already have the base project setup required.

+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+ +
+
+

Kafka Setup

+

If you don't have your own Kafka up and running, you can set up and run an instance configured in the docker +folder via.

+
cd docker
+docker-compose up -d kafka
+docker exec docker-kafkaserver-1 kafka-topics --bootstrap-server localhost:9092 --list
+
+

Let's create a task for inserting data into the account-topic that is already defined +underdocker/data/kafka/setup_kafka.sh.

+

Plan Setup

+

Create a new Java or Scala class.

+
    +
  • Java: src/main/java/io/github/datacatering/plan/MyAdvancedBatchEventJavaPlanRun.java
  • +
  • Scala: src/main/scala/io/github/datacatering/plan/MyAdvancedBatchEventPlanRun.scala
  • +
+

Make sure your class extends PlanRun.

+
+
+
+
import io.github.datacatering.datacaterer.java.api.PlanRun;
+...
+
+public class MyAdvancedBatchEventJavaPlanRun extends PlanRun {
+    {
+        var kafkaTask = new AdvancedKafkaJavaPlanRun().getKafkaTask();
+    }
+}
+
+
+
+
import io.github.datacatering.datacaterer.api.PlanRun
+...
+
+class MyAdvancedBatchEventPlanRun extends PlanRun {
+  val kafkaTask = new AdvancedKafkaPlanRun().kafkaTask
+}
+
+
+
+
+

We will borrow the Kafka task that is already defined under the class AdvancedKafkaPlanRun +or AdvancedKafkaJavaPlanRun. You can go through the Kafka guide here for more details.

+

Schema

+

Let us set up the corresponding schema for the CSV file where we want to match the values that are generated for the +Kafka messages.

+
+
+
+
var kafkaTask = new AdvancedKafkaJavaPlanRun().getKafkaTask();
+
+var csvTask = csv("my_csv", "/opt/app/data/csv/account")
+        .schema(
+                field().name("account_number"),
+                field().name("year"),
+                field().name("name"),
+                field().name("payload")
+        );
+
+
+
+
val kafkaTask = new AdvancedKafkaPlanRun().kafkaTask
+
+val csvTask = csv("my_csv", "/opt/app/data/csv/account")
+  .schema(
+    field.name("account_number"),
+    field.name("year"),
+    field.name("name"),
+    field.name("payload")
+)
+
+
+
+
+

This is a simple schema where we want to use the values and metadata that is already defined in the kafkaTask to +determine what the data will look like for the CSV file. Even if we defined some metadata here, it would be overridden +when we define our foreign key relationships.

+

Foreign Keys

+

From the above CSV schema, we see note the following against the Kafka schema:

+
    +
  • account_number in CSV needs to match with the account_id in Kafka
      +
    • We see that account_id is referred to in the key column as field.name("key").sql("content.account_id")
    • +
    +
  • +
  • year needs to match with content.year in Kafka, which is a nested field
      +
    • We can only do foreign key relationships with top level fields, not nested fields. So we define a new column + called tmp_year which will not appear in the final output for the Kafka messages but is used as an intermediate + step field.name("tmp_year").sql("content.year").omit(true)
    • +
    +
  • +
  • name needs to match with content.details.name in Kafka, also a nested field
      +
    • Using the same logic as above, we define a temporary column called tmp_name which will take the value of the + nested field but will be omitted field.name("tmp_name").sql("content.details.name").omit(true)
    • +
    +
  • +
  • payload represents the whole JSON message sent to Kafka, which matches to value column
  • +
+

Our foreign keys are therefore defined like below. Order is important when defining the list of columns. The index needs +to match with the corresponding column in the other data source.

+
+
+
+
var myPlan = plan().addForeignKeyRelationship(
+        kafkaTask, List.of("key", "tmp_year", "tmp_name", "value"),
+        List.of(Map.entry(csvTask, List.of("account_number", "year", "name", "payload")))
+);
+
+var conf = configuration()
+      .generatedReportsFolderPath("/opt/app/data/report");
+
+execute(myPlan, conf, kafkaTask, csvTask);
+
+
+
+
val myPlan = plan.addForeignKeyRelationship(
+    kafkaTask, List("key", "tmp_year", "tmp_name", "value"),
+    List(csvTask -> List("account_number", "year", "name", "payload"))
+)
+
+val conf = configuration.generatedReportsFolderPath("/opt/app/data/report")
+
+execute(myPlan, conf, kafkaTask, csvTask)
+
+
+
+
+

Run

+

Let's try run.

+
cd ..
+./run.sh
+#input class MyAdvancedBatchEventJavaPlanRun or MyAdvancedBatchEventPlanRun
+#after completing
+docker exec docker-kafkaserver-1 kafka-console-consumer --bootstrap-server localhost:9092 --topic account-topic --from-beginning
+
+

It should look something like this.

+
{"account_id":"ACC03093143","year":2023,"amount":87990.37196728592,"details":{"name":"Nadine Heidenreich Jr.","first_txn_date":"2021-11-09","updated_by":{"user":"YfEyJCe8ohrl0j IfyT","time":"2022-09-26T20:47:53.404Z"}},"transactions":[{"txn_date":"2021-11-09","amount":97073.7914706189}]}
+{"account_id":"ACC08764544","year":2021,"amount":28675.58758765888,"details":{"name":"Delila Beer","first_txn_date":"2021-05-19","updated_by":{"user":"IzB5ksXu","time":"2023-01-26T20:47:26.389Z"}},"transactions":[{"txn_date":"2021-10-01","amount":80995.23818711648},{"txn_date":"2021-05-19","amount":92572.40049217848},{"txn_date":"2021-12-11","amount":99398.79832225188}]}
+{"account_id":"ACC62505420","year":2023,"amount":96125.3125884202,"details":{"name":"Shawn Goodwin","updated_by":{"user":"F3dqIvYp2pFtena4","time":"2023-02-11T04:38:29.832Z"}},"transactions":[]}
+
+

Let's also check if there is a corresponding record in the CSV file.

+
$ cat docker/sample/csv/account/part-0000* | grep ACC03093143
+ACC03093143,2023,Nadine Heidenreich Jr.,"{\"account_id\":\"ACC03093143\",\"year\":2023,\"amount\":87990.37196728592,\"details\":{\"name\":\"Nadine Heidenreich Jr.\",\"first_txn_date\":\"2021-11-09\",\"updated_by\":{\"user\":\"YfEyJCe8ohrl0j IfyT\",\"time\":\"2022-09-26T20:47:53.404Z\"}},\"transactions\":[{\"txn_date\":\"2021-11-09\",\"amount\":97073.7914706189}]}"
+
+

Great! The account, year, name and payload look to all match up.

+

Additional Topics

+

Order of execution

+

You may notice that the events are generated first, then the CSV file. This is because as part of the execute +function, we passed in the kafkaTask first, before the csvTask. You can change the order of execution by +passing in csvTask before kafkaTask into the execute function.

+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/guide/scenario/data-generation/index.html b/setup/guide/scenario/data-generation/index.html new file mode 100644 index 00000000..fddbbc83 --- /dev/null +++ b/setup/guide/scenario/data-generation/index.html @@ -0,0 +1,4406 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Data Generation Example - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Data Generation

+

Go through the available options for data generation. Creating a data generator for a CSV file.

+

Generate CSV files

+

Requirements

+
    +
  • 5 minutes
  • +
  • Git
  • +
  • Gradle
  • +
  • Docker
  • +
+

Get Started

+

First, we will clone the data-caterer-example repo which will already have the base project setup required.

+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+ +
+
+

Plan Setup

+

Create a new Java or Scala class or plan YAML.

+
    +
  • Java: src/main/java/io/github/datacatering/plan/MyCsvPlan.java
  • +
  • Scala: src/main/scala/io/github/datacatering/plan/MyCsvPlan.scala
  • +
  • YAML: docker/data/customer/plan/my-csv.yaml
  • +
+

Make sure your class extends PlanRun.

+
+
+
+
import io.github.datacatering.datacaterer.java.api.PlanRun;
+
+public class MyCsvJavaPlan extends PlanRun {
+}
+
+
+
+
import io.github.datacatering.datacaterer.api.PlanRun
+
+class MyCsvPlan extends PlanRun {
+}
+
+
+
+

In docker/data/custom/plan/my-csv.yaml: +

name: "my_csv_plan"
+description: "Create account data in CSV file"
+tasks:
+  - name: "csv_account_file"
+    dataSourceName: "customer_accounts"
+    enabled: true
+

+
+
+

Go to next section.

+
+
+
+

This class defines where we need to define all of our configurations for generating data. There are helper variables and +methods defined to make it simple and easy to use.

+

Connection Configuration

+

When dealing with CSV files, we need to define a path for our generated CSV files to be saved at, along with any other +high level configurations.

+
+
+
+
csv(
+  "customer_accounts",              //name
+  "/opt/app/data/customer/account", //path
+  Map.of("header", "true")          //optional additional options
+)
+
+

Other additional options for CSV can be found here

+
+
+
csv(
+  "customer_accounts",              //name
+  "/opt/app/data/customer/account", //path
+  Map("header" -> "true")           //optional additional options
+)
+
+

Other additional options for CSV can be found here

+
+
+

In application.conf: +

csv {
+  customer_accounts {
+    path = "/opt/app/data/customer/account"
+    path = ${?CSV_PATH}
+    header = "true"
+  }
+}
+

+
+
+
    +
  1. Go to Connection tab in the top bar
  2. +
  3. Select data source as CSV
      +
    1. Enter in data source name customer_accounts
    2. +
    3. Enter path as /tmp/data-caterer/customer/account
    4. +
    +
  4. +
+
+
+
+

Schema

+

Our CSV file that we generate should adhere to a defined schema where we can also define data types.

+

Let's define each field along with their corresponding data type. You will notice that the string fields do not have a +data type defined. This is because the default data type is StringType.

+
+
+
+
var accountTask = csv("customer_accounts", "/opt/app/data/customer/account", Map.of("header", "true"))
+        .schema(
+                field().name("account_id"),
+                field().name("balance").type(DoubleType.instance()),
+                field().name("created_by"),
+                field().name("name"),
+                field().name("open_time").type(TimestampType.instance()),
+                field().name("status")
+        );
+
+
+
+
val accountTask = csv("customer_accounts", "/opt/app/data/customer/account", Map("header" -> "true"))
+  .schema(
+    field.name("account_id"),
+    field.name("balance").`type`(DoubleType),
+    field.name("created_by"),
+    field.name("name"),
+    field.name("open_time").`type`(TimestampType),
+    field.name("status")
+  )
+
+
+
+

In docker/data/custom/task/file/csv/csv-account-task.yaml: +

name: "csv_account_file"
+steps:
+  - name: "accounts"
+    type: "csv"
+    options:
+      path: "/opt/app/custom/csv/transactions"
+    schema:
+      fields:
+        - name: "account_id"
+        - name: "balance"
+          type: "double"
+        - name: "created_by"
+        - name: "name"
+        - name: "open_time"
+          type: "timestamp"
+        - name: "status"
+

+
+
+
    +
  1. Go to Home tab in the top bar
  2. +
  3. Enter my-csv as the Plan name
  4. +
  5. Under Tasks, enter csv-account-task as Task name and select data source as customer_accounts
  6. +
  7. Click on Generation and tick the Manual checkbox
  8. +
  9. Click on + Field
      +
    1. Add field account_id with type string
    2. +
    3. Add field balance with type double
    4. +
    5. Add field created_by with type string
    6. +
    7. Add field name with type string
    8. +
    9. Add field open_time with type timestamp
    10. +
    11. Add field status with type string
    12. +
    +
  10. +
+
+
+
+

Field Metadata

+

We could stop here and generate random data for the accounts table. But wouldn't it be more useful if we produced data +that is closer to the structure of the data that would come in production? We can do this by defining various metadata +attributes that add guidelines that the data generator will understand when generating data.

+
account_id
+
    +
  • account_id follows a particular pattern that where it starts with ACC and has 8 digits after it. + This can be defined via a regex like below. Alongside, we also mention that values are unique ensure that + unique values are generated.
  • +
+
+
+
+
field().name("account_id").regex("ACC[0-9]{8}").unique(true),
+
+
+
+
field.name("account_id").regex("ACC[0-9]{8}").unique(true),
+
+
+
+
fields:
+  - name: "account_id"
+    options:
+      regex: "ACC[0-9]{8}"
+      unique: true
+
+
+
+
    +
  1. Go to account_id field
  2. +
  3. Click on + dropdown next to string data type
  4. +
  5. Click Regex and enter ACC[0-9]{8}
  6. +
  7. Click Unique and select true
  8. +
+
+
+
+
balance
+
    +
  • balance let's make the numbers not too large, so we can define a min and max for the generated numbers to be between + 1 and 1000.
  • +
+
+
+
+
field().name("balance").type(DoubleType.instance()).min(1).max(1000),
+
+
+
+
field.name("balance").`type`(DoubleType).min(1).max(1000),
+
+
+
+
fields:
+  - name: "balance"
+    type: "double"
+    options:
+      min: 1
+      max: 1000
+
+
+
+
    +
  1. Go to balance field
  2. +
  3. Click on + dropdown next to double data type
  4. +
  5. Click Min and enter 1
  6. +
  7. Click Max and enter 1000
  8. +
+
+
+
+
name
+
    +
  • name is a string that also follows a certain pattern, so we could also define a regex but here we will choose to + leverage the DataFaker library and create an expression to generate real looking name. All possible faker + expressions + can be found here
  • +
+
+
+
+
field().name("name").expression("#{Name.name}"),
+
+
+
+
field.name("name").expression("#{Name.name}"),
+
+
+
+
fields:
+  - name: "name"
+    options:
+      expression: "#{Name.name}"
+
+
+
+
    +
  1. Go to name field
  2. +
  3. Click on + dropdown next to string data type
  4. +
  5. Click Faker Expression and enter #{Name.name}
  6. +
+
+
+
+
open_time
+
    +
  • open_time is a timestamp that we want to have a value greater than a specific date. We can define a min date by + using + java.sql.Date like below.
  • +
+
+
+
+
field().name("open_time").type(TimestampType.instance()).min(java.sql.Date.valueOf("2022-01-01")),
+
+
+
+
field.name("open_time").`type`(TimestampType).min(java.sql.Date.valueOf("2022-01-01")),
+
+
+
+
fields:
+  - name: "open_time"
+    type: "timestamp"
+    options:
+      min: "2022-01-01"
+
+
+
+
    +
  1. Go to open_time field
  2. +
  3. Click on + dropdown next to timestamp data type
  4. +
  5. Click Min and enter 2022-01-01
  6. +
+
+
+
+
status
+
    +
  • status is a field that can only obtain one of four values, open, closed, suspended or pending.
  • +
+
+
+
+
field().name("status").oneOf("open", "closed", "suspended", "pending")
+
+
+
+
field.name("status").oneOf("open", "closed", "suspended", "pending")
+
+
+
+
fields:
+  - name: "status"
+    options:
+      oneOf:
+        - "open"
+        - "closed"
+        - "suspended"
+        - "pending"
+
+
+
+
    +
  1. Go to status field
  2. +
  3. Click on + dropdown next to string data type
  4. +
  5. Click One Of and enter open,closed,suspended,pending
  6. +
+
+
+
+
created_by
+
    +
  • created_by is a field that is based on the status field where it follows the + logic: if status is open or closed, then + it is created_by eod else created_by event. This can be achieved by defining a SQL expression like below.
  • +
+
+
+
+
field().name("created_by").sql("CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END"),
+
+
+
+
field.name("created_by").sql("CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END"),
+
+
+
+
fields:
+  - name: "created_by"
+    options:
+      sql: "CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END"
+
+
+
+
    +
  1. Go to created_by field
  2. +
  3. Click on + dropdown next to string data type
  4. +
  5. Click SQL and enter CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END
  6. +
+
+
+
+

Putting it all the fields together, our structure should now look like this.

+
+
+
+
var accountTask = csv("customer_accounts", "/opt/app/data/customer/account", Map.of("header", "true"))
+        .schema(
+                field().name("account_id").regex("ACC[0-9]{8}").unique(true),
+                field().name("balance").type(DoubleType.instance()).min(1).max(1000),
+                field().name("created_by").sql("CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END"),
+                field().name("name").expression("#{Name.name}"),
+                field().name("open_time").type(TimestampType.instance()).min(java.sql.Date.valueOf("2022-01-01")),
+                field().name("status").oneOf("open", "closed", "suspended", "pending")
+        );
+
+
+
+
val accountTask = csv("customer_accounts", "/opt/app/data/customer/account", Map("header" -> "true"))
+  .schema(
+    field.name("account_id").regex("ACC[0-9]{8}").unique(true),
+    field.name("balance").`type`(DoubleType).min(1).max(1000),
+    field.name("created_by").sql("CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END"),
+    field.name("name").expression("#{Name.name}"),
+    field.name("open_time").`type`(TimestampType).min(java.sql.Date.valueOf("2022-01-01")),
+    field.name("status").oneOf("open", "closed", "suspended", "pending")
+  )
+
+
+
+

In docker/data/custom/task/file/csv/csv-account-task.yaml: +

name: "csv_account_file"
+steps:
+  - name: "accounts"
+    type: "csv"
+    options:
+      path: "/opt/app/custom/csv/account"
+    count:
+      records: 100
+    schema:
+      fields:
+        - name: "account_id"
+          generator:
+            type: "regex"
+            options:
+              regex: "ACC1[0-9]{9}"
+              unique: true
+        - name: "balance"
+          type: "double"
+          options:
+            min: 1
+            max: 1000
+        - name: "created_by"
+          options:
+            sql: "CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END"
+        - name: "name"
+          options:
+            expression: "#{Name.name}"
+        - name: "open_time"
+          type: "timestamp"
+          options:
+            min: "2022-01-01"
+        - name: "status"
+          options:
+            oneOf:
+              - "open"
+              - "closed"
+              - "suspended"
+              - "pending"
+

+
+
+

Open Task and Generation to see all the fields.

+
+
+
+

Record Count

+

We only want to generate 100 records, so that we can see what the output looks like. This is controlled at the +accountTask level like below. If you want to generate more records, set it to the value you want.

+
+
+
+
var accountTask = csv("customer_accounts", "/opt/app/data/customer/account", Map.of("header", "true"))
+        .schema(
+                ...
+        )
+        .count(count().records(100));
+
+
+
+
val accountTask = csv("customer_accounts", "/opt/app/data/customer/account", Map("header" -> "true"))
+  .schema(
+    ...
+  )
+  .count(count.records(100))
+
+
+
+

In docker/data/custom/task/file/csv/csv-account-task.yaml: +

name: "csv_account_file"
+steps:
+  - name: "accounts"
+    type: "csv"
+    options:
+      path: "/opt/app/custom/csv/transactions"
+    count:
+      records: 100
+    schema:
+      fields:
+        ...
+

+
+
+
    +
  1. Under task customer_accounts, click on Generation
  2. +
  3. Under title Record Count, set Records to 100
  4. +
+
+
+
+

Additional Configurations

+

At the end of data generation, a report gets generated that summarises the actions it performed. We can control the +output folder of that report via configurations. We will also enable the unique check to ensure any unique fields will +have unique values generated.

+
+
+
+
var config = configuration()
+        .generatedReportsFolderPath("/opt/app/data/report")
+        .enableUniqueCheck(true);
+
+
+
+
val config = configuration
+  .generatedReportsFolderPath("/opt/app/data/report")
+  .enableUniqueCheck(true)
+
+
+
+

In application.conf: +

flags {
+  enableUniqueCheck = true
+}
+folders {
+  generatedReportsFolderPath = "/opt/app/data/report"
+}
+

+
+
+
    +
  1. Click on Advanced Configuration towards the bottom of the screen
  2. +
  3. Click on Flag and click on Unique Check
  4. +
  5. Click on Folder and enter /tmp/data-caterer/report for Generated Reports Folder Path
  6. +
+
+
+
+

Execute

+

To tell Data Caterer that we want to run with the configurations along with the accountTask, we have to call execute +. So our full plan run will look like this.

+
+
+
+
public class MyCsvJavaPlan extends PlanRun {
+    {
+        var accountTask = csv("customer_accounts", "/opt/app/data/customer/account", Map.of("header", "true"))
+                .schema(
+                        field().name("account_id").regex("ACC[0-9]{8}").unique(true),
+                        field().name("balance").type(DoubleType.instance()).min(1).max(1000),
+                        field().name("created_by").sql("CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END"),
+                        field().name("name").expression("#{Name.name}"),
+                        field().name("open_time").type(TimestampType.instance()).min(java.sql.Date.valueOf("2022-01-01")),
+                        field().name("status").oneOf("open", "closed", "suspended", "pending")
+                );
+
+        var config = configuration()
+                .generatedReportsFolderPath("/opt/app/data/report")
+                .enableUniqueCheck(true);
+
+        execute(config, accountTask);
+    }
+}
+
+
+
+
class MyCsvPlan extends PlanRun {
+
+  val accountTask = csv("customer_accounts", "/opt/app/data/customer/account", Map("header" -> "true"))
+    .schema(
+      field.name("account_id").regex("ACC[0-9]{8}").unique(true),
+      field.name("balance").`type`(DoubleType).min(1).max(1000),
+      field.name("created_by").sql("CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END"),
+      field.name("name").expression("#{Name.name}"),
+      field.name("open_time").`type`(TimestampType).min(java.sql.Date.valueOf("2022-01-01")),
+      field.name("status").oneOf("open", "closed", "suspended", "pending")
+    )
+    val config = configuration
+      .generatedReportsFolderPath("/opt/app/data/report")
+      .enableUniqueCheck(true)
+
+    execute(config, accountTask)
+}
+
+
+
+

Plan and task file should be ready.

+
+
+
    +
  1. Click Save at the top
  2. +
+
+
+
+

Run

+

Now we can run via the script ./run.sh that is in the top level directory of the data-caterer-example to run the +class we just created.

+
+
+
+
./run.sh MyCsvJavaPlan
+head docker/sample/customer/account/part-00000*
+
+
+
+
./run.sh MyCsvPlan
+head docker/sample/customer/account/part-00000*
+
+
+
+
./run.sh my-csv.yaml
+head docker/sample/customer/account/part-00000*
+
+
+
+
    +
  1. Click on Execute at the top +
    head /tmp/data-caterer/customer/account/part-00000*
    +
  2. +
+
+
+
+

Your output should look like this.

+
account_id,balance,created_by,name,open_time,status
+ACC06192462,853.9843359645766,eod,Hoyt Kertzmann MD,2023-07-22T11:17:01.713Z,closed
+ACC15350419,632.5969895326234,eod,Dr. Claude White,2022-12-13T21:57:56.840Z,open
+ACC25134369,592.0958847218986,eod,Fabian Rolfson,2023-04-26T04:54:41.068Z,open
+ACC48021786,656.6413439322964,eod,Dewayne Stroman,2023-05-17T06:31:27.603Z,open
+ACC26705211,447.2850352884595,event,Garrett Funk,2023-07-14T03:50:22.746Z,pending
+ACC03150585,750.4568929015996,event,Natisha Reichel,2023-04-11T11:13:10.080Z,suspended
+ACC29834210,686.4257811608622,event,Gisele Ondricka,2022-11-15T22:09:41.172Z,suspended
+ACC39373863,583.5110618128994,event,Thaddeus Ortiz,2022-09-30T06:33:57.193Z,suspended
+ACC39405798,989.2623959059525,eod,Shelby Reinger,2022-10-23T17:29:17.564Z,open
+
+

Also check the HTML report, found at docker/sample/report/index.html, that gets generated to get an overview of what +was executed.

+

Sample report

+

Join With Another CSV

+

Now that we have generated some accounts, let's also try to generate a set of transactions for those accounts in CSV +format as well. The transactions could be in any other format, but to keep this simple, we will continue using CSV.

+

We can define our schema the same way along with any additional metadata.

+
+
+
+
var transactionTask = csv("customer_transactions", "/opt/app/data/customer/transaction", Map.of("header", "true"))
+        .schema(
+                field().name("account_id"),
+                field().name("name"),
+                field().name("amount").type(DoubleType.instance()).min(1).max(100),
+                field().name("time").type(TimestampType.instance()).min(java.sql.Date.valueOf("2022-01-01")),
+                field().name("date").type(DateType.instance()).sql("DATE(time)")
+        );
+
+
+
+
val transactionTask = csv("customer_transactions", "/opt/app/data/customer/transaction", Map("header" -> "true"))
+  .schema(
+    field.name("account_id"),
+    field.name("full_name"),
+    field.name("amount").`type`(DoubleType).min(1).max(100),
+    field.name("time").`type`(TimestampType).min(java.sql.Date.valueOf("2022-01-01")),
+    field.name("date").`type`(DateType).sql("DATE(time)")
+  )
+
+
+
+

In docker/data/custom/task/file/csv/csv-account-task.yaml: +

name: "csv_account_file"
+steps:
+  - name: "accounts"
+    type: "csv"
+    options:
+      path: "/opt/app/custom/csv/account"
+    ...
+  - name: "transactions"
+    type: "csv"
+    options:
+      path: "/opt/app/custom/csv/transactions"
+    schema:
+      fields:
+        - name: "account_id"
+        - name: "full_name"
+        - name: "amount"
+          type: "double"
+          options:
+            min: 1
+            max: 100
+        - name: "time"
+          type: "timestamp"
+          options:
+            min: "2022-01-01"
+        - name: "date"
+          type: "date"
+          options:
+            sql: "DATE(time)"
+

+
+
+
    +
  1. Go to Connection tab and add new CSV data source with path /tmp/data-caterer/customer/transactions
  2. +
  3. Go to Plan tab and click on Edit for my-csv
  4. +
  5. Click on + Task towards the top
  6. +
  7. Under the new task, enter csv-transaction-task as Task name and select data source as customer_accounts
  8. +
  9. Click on Generation and tick the Manual checkbox
  10. +
  11. Click on + Field
      +
    1. Add field account_id with type string
    2. +
    3. Add field balance with type double
    4. +
    5. Add field created_by with type string
    6. +
    7. Add field name with type string
    8. +
    9. Add field open_time with type timestamp
    10. +
    11. Add field status with type string
    12. +
    +
  12. +
+
+
+
+

Records Per Column

+

Usually, for a given account_id, full_name, there should be multiple records for it as we want to simulate a customer +having multiple transactions. We can achieve this through defining the number of records to generate in the count +function.

+
+
+
+
var transactionTask = csv("customer_transactions", "/opt/app/data/customer/transaction", Map.of("header", "true"))
+        .schema(...)
+        .count(count().recordsPerColumn(5, "account_id", "full_name"));
+
+
+
+
val transactionTask = csv("customer_transactions", "/opt/app/data/customer/transaction", Map("header" -> "true"))
+  .schema(...)
+  .count(count.recordsPerColumn(5, "account_id", "full_name"))
+
+
+
+

In docker/data/custom/task/file/csv/csv-account-task.yaml: +

name: "csv_account_file"
+steps:
+  - name: "accounts"
+    ...
+  - name: "transactions"
+    type: "csv"
+    options:
+      path: "/opt/app/custom/csv/transactions"
+    count:
+      records: 100
+      perColumn:
+        columnNames:
+          - "account_id"
+          - "name"
+        count: 5
+

+
+
+
    +
  1. Under title Record count, click on Advanced
  2. +
  3. Enter account_id,name in Column(s)
  4. +
  5. Click on Per unique set of values checkbox
  6. +
  7. Set Records to 5
  8. +
+
+
+
+
Random Records Per Column
+

Above, you will notice that we are generating 5 records per account_id, full_name. This is okay but still not quite +reflective of the real world. Sometimes, people have accounts with no transactions in them, or they could have many. We +can accommodate for this via defining a random number of records per column.

+
+
+
+
var transactionTask = csv("customer_transactions", "/opt/app/data/customer/transaction", Map.of("header", "true"))
+        .schema(
+                ...
+        )
+        .count(count().recordsPerColumnGenerator(generator().min(0).max(5), "account_id", "full_name"));
+
+
+
+
val transactionTask = csv("customer_transactions", "/opt/app/data/customer/transaction", Map("header" -> "true"))
+  .schema(
+    ...
+  )
+  .count(count.recordsPerColumnGenerator(generator.min(0).max(5), "account_id", "full_name"))
+
+
+
+

In docker/data/custom/task/file/csv/csv-account-task.yaml: +

name: "csv_account_file"
+steps:
+  - name: "accounts"
+    ...
+  - name: "transactions"
+    type: "csv"
+    options:
+      path: "/opt/app/custom/csv/transactions"
+    count:
+      records: 100
+      perColumn:
+        columnNames:
+          - "account_id"
+          - "name"
+        generator:
+          type: "random"
+          options:
+            min: 0
+            max: 5
+

+
+
+
    +
  1. Under title Record count, click on Advanced
  2. +
  3. Enter account_id,name in Column(s)
  4. +
  5. Click on Per unique set of values between checkbox
  6. +
  7. Set Min to 0 and Max to5`
  8. +
+
+
+
+

Here we set the minimum number of records per column to be 0 and the maximum to 5.

+

Foreign Key

+

In this scenario, we want to match the account_id in account to match the same column values in transaction. We +also want to match name in account to full_name in transaction. This can be done via plan configuration like +below.

+
+
+
+
var myPlan = plan().addForeignKeyRelationship(
+        accountTask, List.of("account_id", "name"), //the task and columns we want linked
+        List.of(Map.entry(transactionTask, List.of("account_id", "full_name"))) //list of other tasks and their respective column names we want matched
+);
+
+
+
+
val myPlan = plan.addForeignKeyRelationship(
+  accountTask, List("account_id", "name"),  //the task and columns we want linked
+  List(transactionTask -> List("account_id", "full_name"))  //list of other tasks and their respective column names we want matched
+)
+
+
+
+

In docker/data/custom/plan/my-csv.yaml: +```yaml +name: "my_csv_plan" +description: "Create account data in CSV file" +tasks: + - name: "csv_account_file" + dataSourceName: "customer_accounts" + enabled: true

+

sinkOptions: + foreignKeys: + - - "customer_accounts.accounts.account_id,name" + - - "customer_accounts.transactions.account_id,full_name" + - [] + ```

+
+
+
    +
  1. Click Relationships and then click + Relationship
  2. +
  3. Select csv-account-task and enter account_id,name in Column(s)
  4. +
  5. Open Generation and click + Link
  6. +
  7. Select csv-transaction-task and enter account_id,full_name in Column(s)
  8. +
+
+
+
+

Now, stitching it all together for the execute function, our final plan should look like this.

+
+
+
+
public class MyCsvJavaPlan extends PlanRun {
+    {
+        var accountTask = csv("customer_accounts", "/opt/app/data/customer/account", Map.of("header", "true"))
+                .schema(
+                        field().name("account_id").regex("ACC[0-9]{8}").unique(true),
+                        field().name("balance").type(DoubleType.instance()).min(1).max(1000),
+                        field().name("created_by").sql("CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END"),
+                        field().name("name").expression("#{Name.name}"),
+                        field().name("open_time").type(TimestampType.instance()).min(java.sql.Date.valueOf("2022-01-01")),
+                        field().name("status").oneOf("open", "closed", "suspended", "pending")
+                )
+                .count(count().records(100));
+
+        var transactionTask = csv("customer_transactions", "/opt/app/data/customer/transaction", Map.of("header", "true"))
+                .schema(
+                        field().name("account_id"),
+                        field().name("name"),
+                        field().name("amount").type(DoubleType.instance()).min(1).max(100),
+                        field().name("time").type(TimestampType.instance()).min(java.sql.Date.valueOf("2022-01-01")),
+                        field().name("date").type(DateType.instance()).sql("DATE(time)")
+                )
+                .count(count().recordsPerColumnGenerator(generator().min(0).max(5), "account_id", "full_name"));
+
+        var config = configuration()
+                .generatedReportsFolderPath("/opt/app/data/report")
+                .enableUniqueCheck(true);
+
+        var myPlan = plan().addForeignKeyRelationship(
+                accountTask, List.of("account_id", "name"),
+                List.of(Map.entry(transactionTask, List.of("account_id", "full_name")))
+        );
+
+        execute(myPlan, config, accountTask, transactionTask);
+    }
+}
+
+
+
+
class MyCsvPlan extends PlanRun {
+
+  val accountTask = csv("customer_accounts", "/opt/app/data/customer/account", Map("header" -> "true"))
+    .schema(
+      field.name("account_id").regex("ACC[0-9]{8}").unique(true),
+      field.name("balance").`type`(DoubleType).min(1).max(1000),
+      field.name("created_by").sql("CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END"),
+      field.name("name").expression("#{Name.name}"),
+      field.name("open_time").`type`(TimestampType).min(java.sql.Date.valueOf("2022-01-01")),
+      field.name("status").oneOf("open", "closed", "suspended", "pending")
+    )
+    .count(count.records(100))
+
+  val transactionTask = csv("customer_transactions", "/opt/app/data/customer/transaction", Map("header" -> "true"))
+    .schema(
+      field.name("account_id"),
+      field.name("name"),
+      field.name("amount").`type`(DoubleType).min(1).max(100),
+      field.name("time").`type`(TimestampType).min(java.sql.Date.valueOf("2022-01-01")),
+      field.name("date").`type`(DateType).sql("DATE(time)")
+    )
+    .count(count.recordsPerColumnGenerator(generator.min(0).max(5), "account_id", "full_name"))
+
+  val config = configuration
+    .generatedReportsFolderPath("/opt/app/data/report")
+    .enableUniqueCheck(true)
+
+  val myPlan = plan.addForeignKeyRelationship(
+    accountTask, List("account_id", "name"),
+    List(transactionTask -> List("account_id", "full_name"))
+  )
+
+  execute(myPlan, config, accountTask, transactionTask)
+}
+
+
+
+

Check content of docker/data/custom/plan/my-csv.yaml and docker/data/custom/task/file/csv/csv-account-task.yaml.

+
+
+

Open UI dropdowns to see all details.

+
+
+
+

Let's clean up the old data and try run again.

+
#clean up old data
+rm -rf docker/sample/customer/account
+
+
+
+
+
./run.sh MyCsvJavaPlan
+account=$(tail -1 docker/sample/customer/account/part-00000* | awk -F "," '{print $1 "," $4}')
+echo $account
+cat docker/sample/customer/transaction/part-00000* | grep $account
+
+
+
+
./run.sh MyCsvPlan
+account=$(tail -1 docker/sample/customer/account/part-00000* | awk -F "," '{print $1 "," $4}')
+echo $account
+cat docker/sample/customer/transaction/part-00000* | grep $account
+
+
+
+
./run.sh my-csv.yaml
+account=$(tail -1 docker/sample/customer/account/part-00000* | awk -F "," '{print $1 "," $4}')
+echo $account
+cat docker/sample/customer/transaction/part-00000* | grep $account
+
+
+
+
    +
  1. Click on Execute at the top +
    account=$(tail -1 /tmp/data-caterer/customer/account/part-00000* | awk -F "," '{print $1 "," $4}')
    +echo $account
    +cat /tmp/data-caterer/customer/transaction/part-00000* | grep $account
    +
  2. +
+
+
+
+

It should look something like this.

+
ACC29117767,Willodean Sauer
+ACC29117767,Willodean Sauer,84.99145871948083,2023-05-14T09:55:51.439Z,2023-05-14
+ACC29117767,Willodean Sauer,58.89345733567232,2022-11-22T07:38:20.143Z,2022-11-22
+
+

Congratulations! You have now made a data generator that has simulated a real world data scenario. You can check the +DocumentationJavaPlanRun.java or DocumentationPlanRun.scala files as well to check that your plan is the same.

+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/guide/scenario/data-validation/index.html b/setup/guide/scenario/data-validation/index.html new file mode 100644 index 00000000..d6e3bd24 --- /dev/null +++ b/setup/guide/scenario/data-validation/index.html @@ -0,0 +1,3608 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Example Validation - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Data Validations

+

Creating a data validator for a JSON file.

+

Example data validation report

+

Requirements

+
    +
  • 5 minutes
  • +
  • Git
  • +
  • Gradle
  • +
  • Docker
  • +
+

Get Started

+

First, we will clone the data-caterer-example repo which will already have the base project setup required.

+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+ +
+
+

Data Setup

+

To aid in showing the functionality of data validations, we will first generate some data that our validations will run +against. Run the below command and it will generate JSON files under docker/sample/json folder.

+
./run.sh JsonPlan
+
+

Plan Setup

+

Create a new Java or Scala class.

+
    +
  • Java: src/main/java/io/github/datacatering/plan/MyValidationJavaPlan.java
  • +
  • Scala: src/main/scala/io/github/datacatering/plan/MyValidationPlan.scala
  • +
+

Make sure your class extends PlanRun.

+
+
+
+
import io.github.datacatering.datacaterer.java.api.PlanRun;
+...
+
+public class MyValidationJavaPlan extends PlanRun {
+    {
+        var jsonTask = json("my_json", "/opt/app/data/json");
+
+        var config = configuration()
+                .generatedReportsFolderPath("/opt/app/data/report")
+                .enableValidation(true)
+                .enableGenerateData(false);
+
+        execute(config, jsonTask);
+    }
+}
+
+
+
+
import io.github.datacatering.datacaterer.api.PlanRun
+...
+
+class MyValidationPlan extends PlanRun {
+  val jsonTask = json("my_json", "/opt/app/data/json")
+
+  val config = configuration
+    .generatedReportsFolderPath("/opt/app/data/report")
+    .enableValidation(true)
+    .enableGenerateData(false)
+
+  execute(config, jsonTask)
+}
+
+
+
+
+

As noted above, we create a JSON task that points to where the JSON data has been created at folder /opt/app/data/json +. We also note that enableValidation is set to true and enableGenerateData to false to tell Data Catering, we +only want to validate data.

+

Validations

+

For reference, the schema in which we will be validating against looks like the below.

+
.schema(
+  field.name("account_id"),
+  field.name("year").`type`(IntegerType),
+  field.name("balance").`type`(DoubleType),
+  field.name("date").`type`(DateType),
+  field.name("status"),
+  field.name("update_history").`type`(ArrayType)
+    .schema(
+      field.name("updated_time").`type`(TimestampType),
+      field.name("status").oneOf("open", "closed", "pending", "suspended"),
+    ),
+  field.name("customer_details")
+    .schema(
+      field.name("name").expression("#{Name.name}"),
+      field.name("age").`type`(IntegerType),
+      field.name("city").expression("#{Address.city}")
+    )
+)
+
+

Basic Validation

+

Let's say our goal is to validate the customer_details.name field to ensure it conforms to the regex +pattern [A-Z][a-z]+ [A-Z][a-z]+. Given the diversity in naming conventions across cultures and countries, variations +such as middle names, suffixes, prefixes, or language-specific differences are tolerated to a certain extent. The +validation considers an acceptable error threshold before marking it as failed.

+
Validation Criteria
+
    +
  • Field to Validate: customer_details.name
  • +
  • Regex Pattern: [A-Z][a-z]+ [A-Z][a-z]+
  • +
  • Error Tolerance: If more than 10% do not match the regex, then fail.
  • +
+
Considerations
+
    +
  • Customisation
      +
    • Adjust the regex pattern and error threshold based on your specific data schema and validation requirements.
    • +
    • For the full list of types of basic validations that can be + used, check this page.
    • +
    +
  • +
  • Understanding Tolerance
      +
    • Be mindful of the error threshold, as it directly influences what percentage of deviations from the pattern is + acceptable.
    • +
    +
  • +
+
+
+
+
validation().col("customer_details.name")
+    .matches("[A-Z][a-z]+ [A-Z][a-z]+")
+    .errorThreshold(0.1)                                      //<=10% failure rate is acceptable
+    .description("Names generally follow the same pattern"),  //description to add context in report or other developers
+
+
+
+
validation.col("customer_details.name")
+  .matches("[A-Z][a-z]+ [A-Z][a-z]+")
+  .errorThreshold(0.1)                                      //<=10% failure rate is acceptable
+  .description("Names generally follow the same pattern"),  //description to add context in report or other developers
+
+
+
+
+
Custom Validation
+

There will be situation where you have a complex data setup and require you own custom logic to use for data validation. +You can achieve this via setting your own SQL expression that returns a boolean value. An example is seen below where +we want to check the array update_history, that each entry has updated_time greater than a certain timestamp.

+
+
+
+
validation().expr("FORALL(update_history, x -> x.updated_time > TIMESTAMP('2022-01-01 00:00:00'))"),
+
+
+
+
validation.expr("FORALL(update_history, x -> x.updated_time > TIMESTAMP('2022-01-01 00:00:00'))"),
+
+
+
+
+

If you want to know what other SQL function are available for you to +use, check this page.

+

Group By Validation

+

There are scenarios where you want to validate against grouped values or the whole dataset via aggregations. An example +would be validating that each customer's transactions sum is greater than 0.

+
Validation Criteria
+

Line 1: validation.groupBy().count().isEqual(100)

+
    +
  • Method Chaining
      +
    • groupBy(): Group by whole dataset.
    • +
    • count(): Counts the number of dataset elements.
    • +
    • isEqual(100): Checks if the count is equal to 100.
    • +
    +
  • +
  • Validation Rule
      +
    • This line ensures that the count of the total dataset is exactly 100.
    • +
    +
  • +
+

Line 2: validation.groupBy("account_id").max("balance").lessThan(900)

+
    +
  • Method Chaining
      +
    • groupBy("account_id"): Groups the data based on the account_id field.
    • +
    • max("balance"): Calculates the maximum value of the balance field within each group.
    • +
    • lessThan(900): Checks if the maximum balance in each group is less than 900.
    • +
    +
  • +
  • Validation Rule
      +
    • This line ensures that, for each group identified by account_id the maximum balance is less than 900.
    • +
    +
  • +
+
Considerations
+ +
+
+
+
validation().groupBy().count().isEqual(100),
+validation().groupBy("account_id").max("balance").lessThan(900)
+
+
+
+
validation.groupBy().count().isEqual(100),
+validation.groupBy("account_id").max("balance").lessThan(900)
+
+
+
+
+

Sample Validation

+

To try cover the majority of validation cases, the below has been created.

+
+
+
+
var jsonTask = json("my_json", "/opt/app/data/json")
+        .validations(
+                validation().col("customer_details.name").matches("[A-Z][a-z]+ [A-Z][a-z]+").errorThreshold(0.1).description("Names generally follow the same pattern"),
+                validation().col("date").isNotNull().errorThreshold(10),
+                validation().col("balance").greaterThan(500),
+                validation().expr("YEAR(date) == year"),
+                validation().col("status").in("open", "closed", "pending").errorThreshold(0.2).description("Could be new status introduced"),
+                validation().col("customer_details.age").greaterThan(18),
+                validation().expr("FORALL(update_history, x -> x.updated_time > TIMESTAMP('2022-01-01 00:00:00'))"),
+                validation().col("update_history").greaterThanSize(2),
+                validation().unique("account_id"),
+                validation().groupBy().count().isEqual(1000),
+                validation().groupBy("account_id").max("balance").lessThan(900)
+        );
+
+var config = configuration()
+        .generatedReportsFolderPath("/opt/app/data/report")
+        .enableValidation(true)
+        .enableGenerateData(false);
+
+execute(config, jsonTask);
+
+
+
+
val jsonTask = json("my_json", "/opt/app/data/json")
+  .validations(
+    validation.col("customer_details.name").matches("[A-Z][a-z]+ [A-Z][a-z]+").errorThreshold(0.1).description("Names generally follow the same pattern"),
+    validation.col("date").isNotNull.errorThreshold(10),
+    validation.col("balance").greaterThan(500),
+    validation.expr("YEAR(date) == year"),
+    validation.col("status").in("open", "closed", "pending").errorThreshold(0.2).description("Could be new status introduced"),
+    validation.col("customer_details.age").greaterThan(18),
+    validation.expr("FORALL(update_history, x -> x.updated_time > TIMESTAMP('2022-01-01 00:00:00'))"),
+    validation.col("update_history").greaterThanSize(2),
+    validation.unique("account_id"),
+    validation.groupBy().count().isEqual(1000),
+    validation.groupBy("account_id").max("balance").lessThan(900)
+  )
+
+val config = configuration
+  .generatedReportsFolderPath("/opt/app/data/report")
+  .enableValidation(true)
+  .enableGenerateData(false)
+
+execute(config, jsonTask)
+
+
+
+
+

Run

+

Let's try run.

+
./run.sh
+#input class MyValidationJavaPlan or MyValidationPlan
+#after completing, check report at docker/sample/report/index.html
+
+

It should look something like this.

+ + +

Check the full example at ValidationPlanRun inside the examples repo.

+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/guide/scenario/delete-generated-data/index.html b/setup/guide/scenario/delete-generated-data/index.html new file mode 100644 index 00000000..88ac3b04 --- /dev/null +++ b/setup/guide/scenario/delete-generated-data/index.html @@ -0,0 +1,3433 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Delete Generated Data - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Delete Generated Data

+
+

Info

+

Delete generated data is a paid feature.

+
+

Creating a data generator for Postgres and delete the generated data after using it.

+

Requirements

+
    +
  • 5 minutes
  • +
  • Git
  • +
  • Gradle
  • +
  • Docker
  • +
+

Get Started

+

First, we will clone the data-caterer-example repo which will already have the base project setup required.

+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+ +
+
+

Plan Setup

+

Create a new Java or Scala class.

+
    +
  • Java: src/main/java/io/github/datacatering/plan/MyAdvancedDeleteJavaPlanRun.java
  • +
  • Scala: src/main/scala/io/github/datacatering/plan/MyAdvancedDeletePlanRun.scala
  • +
+

Make sure your class extends PlanRun.

+
+
+
+
import io.github.datacatering.datacaterer.java.api.PlanRun;
+...
+
+public class MyAdvancedDeleteJavaPlanRun extends PlanRun {
+    {
+        var autoRun = configuration()
+                .postgres("my_postgres", "jdbc:postgresql://host.docker.internal:5432/customer")  (1)
+                .enableGeneratePlanAndTasks(true)                                                 (2)
+                .enableRecordTracking(true)                                                       (3)
+                .enableDeleteGeneratedRecords(false)                                              (4)
+                .enableUniqueCheck(true)
+                .generatedPlanAndTaskFolderPath("/opt/app/data/generated")                        (5)
+                .recordTrackingFolderPath("/opt/app/data/recordTracking")                         (6)
+                .generatedReportsFolderPath("/opt/app/data/report");
+
+        execute(autoRun);
+   }
+}
+
+
+
+
import io.github.datacatering.datacaterer.api.PlanRun
+...
+
+class MyAdvancedDeletePlanRun extends PlanRun {
+
+  val autoRun = configuration
+    .postgres("my_postgres", "jdbc:postgresql://host.docker.internal:5432/customer")  (1)
+    .enableGeneratePlanAndTasks(true)                                                 (2)
+    .enableRecordTracking(true)                                                       (3)
+    .enableDeleteGeneratedRecords(false)                                              (4)
+    .enableUniqueCheck(true)
+    .generatedPlanAndTaskFolderPath("/opt/app/data/generated")                        (5)
+    .recordTrackingFolderPath("/opt/app/data/recordTracking")                         (6)
+    .generatedReportsFolderPath("/opt/app/data/report")
+
+  execute(configuration = autoRun)
+}
+
+
+
+
+

In the above code we note the following:

+
    +
  1. We have defined a Postgres connection called my_postgres
  2. +
  3. enableGeneratePlanAndTasks is enabled to auto generate data for all tables under customer database
  4. +
  5. enableRecordTracking is enabled to ensure that all generated records are tracked. This will get used when we want + to delete data afterwards
  6. +
  7. enableDeleteGeneratedRecords is disabled for now. We want to see the generated data first and delete sometime after
  8. +
  9. generatedPlanAndTaskFolderPath is the folder path where we saved the metadata we have gathered from my_postgres
  10. +
  11. recordTrackingFolderPath is the folder path where record tracking is maintained. We need to persist this data to + ensure it is still available when we want to delete data
  12. +
+

Postgres Setup

+

If you don't have your own Postgres up and running, you can set up and run an instance configured in the docker +folder via.

+
cd docker
+docker-compose up -d postgres
+docker exec docker-postgresserver-1 psql -Upostgres -d customer -c '\dt+ account.*'
+
+

This will create the tables found under docker/data/sql/postgres/customer.sql. You can change this file to contain +your own tables. We can see there are 4 tables created for us, accounts, balances, transactions and mapping.

+

Run

+

Let's try run.

+
cd ..
+./run.sh
+#input class MyAdvancedDeleteJavaPlanRun or MyAdvancedDeletePlanRun
+#after completing
+docker exec docker-postgresserver-1 psql -Upostgres -d customer -c 'select * from account.accounts limit 1'
+
+

It should look something like this.

+
   id   | account_number  | account_status | created_by | created_by_fixed_length | customer_id_int | customer_id_smallint | customer_id_bigint |   customer_id_decimal    | customer_id_real | customer_id_double | open_date  |     open_timestamp      | last_opened_time |                                                           payload_bytes
+--------+-----------------+----------------+------------+-------------------------+-----------------+----------------------+--------------------+--------------------------+------------------+--------------------+------------+-------------------------+------------------+------------------------------------------------------------------------------------------------------------------------------------
+ 100414 | 5uROOVOUyQUbubN | h3H            | SfA0eZJcTm | CuRw                    |              13 |                   42 |               6041 | 76987.745612542900000000 |         91866.78 |  66400.37433202339 | 2023-03-05 | 2023-08-14 11:33:11.343 | 23:58:01.736     | \x604d315d4547616e6a233050415373317274736f5e682d516132524f3d23233c37463463322f342d34376d597e665d6b3d395b4238284028622b7d6d2b4f5042
+(1 row)
+
+

The data that gets inserted will follow the foreign keys that are defined within Postgres and also ensure the insertion +order is correct.

+

Check the number of records via:

+
docker exec docker-postgresserver-1 psql -Upostgres -d customer -c 'select count(1) from account.accounts'
+#open report under docker/sample/report/index.html
+
+

Delete

+

We are now at a stage where we want to delete the data that was generated. All we need to do is flip two flags.

+
.enableDeleteGeneratedRecords(true)
+.enableGenerateData(false)  //we need to explicitly disable generating data
+
+

Enable delete generated records and disable generating data.

+

Before we run again, let us insert a record manually to see if that data will survive after running the job to delete +the generated data.

+
docker exec docker-postgresserver-1 psql -Upostgres -d customer -c "insert into account.accounts (account_number) values ('my_account_number')"
+docker exec docker-postgresserver-1 psql -Upostgres -d customer -c "select count(1) from account.accounts"
+
+

We now should have 1001 records in our account.accounts table. Let's delete the generated data now.

+
./run.sh
+#input class MyAdvancedDeleteJavaPlanRun or MyAdvancedDeletePlanRun
+#after completing
+docker exec docker-postgresserver-1 psql -Upostgres -d customer -c 'select * from account.accounts limit 1'
+docker exec docker-postgresserver-1 psql -Upostgres -d customer -c 'select count(1) from account.accounts'
+
+

You should see that only 1 record is left, the one that we manually inserted. Great, now we can generate data reliably +and also be able to clean it up.

+

Additional Topics

+

One class for generating, another for deleting?

+

Yes, this is possible. There are two requirements: +- the connection names used need to be the same across both classes +- recordTrackingFolderPath needs to be set to the same value

+

Define record count

+

You can control the record count per sub data source via numRecordsPerStep.

+
+
+
+
var autoRun = configuration()
+      ...
+      .numRecordsPerStep(100)
+
+execute(autoRun)
+
+
+
+
val autoRun = configuration
+  ...
+  .numRecordsPerStep(100)
+
+execute(configuration = autoRun)
+
+
+
+
+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/guide/scenario/first-data-generation/index.html b/setup/guide/scenario/first-data-generation/index.html new file mode 100644 index 00000000..7d61489f --- /dev/null +++ b/setup/guide/scenario/first-data-generation/index.html @@ -0,0 +1,4154 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + First Data Generation Example - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

First Data Generation

+

Creating a data generator for a CSV file.

+

Generate CSV files

+

Requirements

+
    +
  • 20 minutes
  • +
  • Git
  • +
  • Gradle
  • +
  • Docker
  • +
+

Get Started

+

First, we will clone the data-caterer-example repo which will already have the base project setup required.

+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+ +
+
+

Plan Setup

+

Create a new Java or Scala class.

+
    +
  • Java: src/main/java/io/github/datacatering/plan/MyCsvPlan.java
  • +
  • Scala: src/main/scala/io/github/datacatering/plan/MyCsvPlan.scala
  • +
+

Make sure your class extends PlanRun.

+
+
+
+
import io.github.datacatering.datacaterer.java.api.PlanRun;
+
+public class MyCsvJavaPlan extends PlanRun {
+}
+
+
+
+
import io.github.datacatering.datacaterer.api.PlanRun
+
+class MyCsvPlan extends PlanRun {
+}
+
+
+
+
+

This class defines where we need to define all of our configurations for generating data. There are helper variables and +methods defined to make it simple and easy to use.

+

Connection Configuration

+

When dealing with CSV files, we need to define a path for our generated CSV files to be saved at, along with any other +high level configurations.

+
+
+
+
csv(
+  "customer_accounts",              //name
+  "/opt/app/data/customer/account", //path
+  Map.of("header", "true")          //optional additional options
+)
+
+

Other additional options for CSV can be found here

+
+
+
csv(
+  "customer_accounts",              //name
+  "/opt/app/data/customer/account", //path
+  Map("header" -> "true")           //optional additional options
+)
+
+

Other additional options for CSV can be found here

+
+
+
+

Schema

+

Our CSV file that we generate should adhere to a defined schema where we can also define data types.

+

Let's define each field along with their corresponding data type. You will notice that the string fields do not have a +data type defined. This is because the default data type is StringType.

+
+
+
+
var accountTask = csv("customer_accounts", "/opt/app/data/customer/account", Map.of("header", "true"))
+        .schema(
+                field().name("account_id"),
+                field().name("balance").type(DoubleType.instance()),
+                field().name("created_by"),
+                field().name("name"),
+                field().name("open_time").type(TimestampType.instance()),
+                field().name("status")
+        );
+
+
+
+
val accountTask = csv("customer_accounts", "/opt/app/data/customer/account", Map("header" -> "true"))
+  .schema(
+    field.name("account_id"),
+    field.name("balance").`type`(DoubleType),
+    field.name("created_by"),
+    field.name("name"),
+    field.name("open_time").`type`(TimestampType),
+    field.name("status")
+  )
+
+
+
+
+

Field Metadata

+

We could stop here and generate random data for the accounts table. But wouldn't it be more useful if we produced data +that is closer to the structure of the data that would come in production? We can do this by defining various metadata +attributes that add guidelines that the data generator will understand when generating data.

+
account_id
+
    +
  • account_id follows a particular pattern that where it starts with ACC and has 8 digits after it. + This can be defined via a regex like below. Alongside, we also mention that values are unique ensure that + unique values are generated.
  • +
+
+
+
+
field().name("account_id").regex("ACC[0-9]{8}").unique(true),
+
+
+
+
field.name("account_id").regex("ACC[0-9]{8}").unique(true),
+
+
+
+
+
balance
+
    +
  • balance let's make the numbers not too large, so we can define a min and max for the generated numbers to be between + 1 and 1000.
  • +
+
+
+
+
field().name("balance").type(DoubleType.instance()).min(1).max(1000),
+
+
+
+
field.name("balance").`type`(DoubleType).min(1).max(1000),
+
+
+
+
+
name
+
    +
  • name is a string that also follows a certain pattern, so we could also define a regex but here we will choose to + leverage the DataFaker library and create an expression to generate real looking name. All possible faker + expressions + can be found here
  • +
+
+
+
+
field().name("name").expression("#{Name.name}"),
+
+
+
+
field.name("name").expression("#{Name.name}"),
+
+
+
+
+
open_time
+
    +
  • open_time is a timestamp that we want to have a value greater than a specific date. We can define a min date by + using + java.sql.Date like below.
  • +
+
+
+
+
field().name("open_time").type(TimestampType.instance()).min(java.sql.Date.valueOf("2022-01-01")),
+
+
+
+
field.name("open_time").`type`(TimestampType).min(java.sql.Date.valueOf("2022-01-01")),
+
+
+
+
+
status
+
    +
  • status is a field that can only obtain one of four values, open, closed, suspended or pending.
  • +
+
+
+
+
field().name("status").oneOf("open", "closed", "suspended", "pending")
+
+
+
+
field.name("status").oneOf("open", "closed", "suspended", "pending")
+
+
+
+
+
created_by
+
    +
  • created_by is a field that is based on the status field where it follows the + logic: if status is open or closed, then + it is created_by eod else created_by event. This can be achieved by defining a SQL expression like below.
  • +
+
+
+
+
field().name("created_by").sql("CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END"),
+
+
+
+
field.name("created_by").sql("CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END"),
+
+
+
+
+

Putting it all the fields together, our class should now look like this.

+
+
+
+
var accountTask = csv("customer_accounts", "/opt/app/data/customer/account", Map.of("header", "true"))
+        .schema(
+                field().name("account_id").regex("ACC[0-9]{8}").unique(true),
+                field().name("balance").type(DoubleType.instance()).min(1).max(1000),
+                field().name("created_by").sql("CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END"),
+                field().name("name").expression("#{Name.name}"),
+                field().name("open_time").type(TimestampType.instance()).min(java.sql.Date.valueOf("2022-01-01")),
+                field().name("status").oneOf("open", "closed", "suspended", "pending")
+        );
+
+
+
+
val accountTask = csv("customer_accounts", "/opt/app/data/customer/account", Map("header" -> "true"))
+  .schema(
+    field.name("account_id").regex("ACC[0-9]{8}").unique(true),
+    field.name("balance").`type`(DoubleType).min(1).max(1000),
+    field.name("created_by").sql("CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END"),
+    field.name("name").expression("#{Name.name}"),
+    field.name("open_time").`type`(TimestampType).min(java.sql.Date.valueOf("2022-01-01")),
+    field.name("status").oneOf("open", "closed", "suspended", "pending")
+  )
+
+
+
+
+

Record Count

+

We only want to generate 100 records, so that we can see what the output looks like. This is controlled at the +accountTask level like below. If you want to generate more records, set it to the value you want.

+
+
+
+
var accountTask = csv("customer_accounts", "/opt/app/data/customer/account", Map.of("header", "true"))
+        .schema(
+                ...
+        )
+        .count(count().records(100));
+
+
+
+
val accountTask = csv("customer_accounts", "/opt/app/data/customer/account", Map("header" -> "true"))
+  .schema(
+    ...
+  )
+  .count(count.records(100))
+
+
+
+
+

Additional Configurations

+

At the end of data generation, a report gets generated that summarises the actions it performed. We can control the +output folder of that report via configurations. We will also enable the unique check to ensure any unique fields will +have unique values generated.

+
+
+
+
var config = configuration()
+        .generatedReportsFolderPath("/opt/app/data/report")
+        .enableUniqueCheck(true);
+
+
+
+
val config = configuration
+  .generatedReportsFolderPath("/opt/app/data/report")
+  .enableUniqueCheck(true)
+
+
+
+
+

Execute

+

To tell Data Caterer that we want to run with the configurations along with the accountTask, we have to call execute +. So our full plan run will look like this.

+
+
+
+
public class MyCsvJavaPlan extends PlanRun {
+    {
+        var accountTask = csv("customer_accounts", "/opt/app/data/customer/account", Map.of("header", "true"))
+                .schema(
+                        field().name("account_id").regex("ACC[0-9]{8}").unique(true),
+                        field().name("balance").type(DoubleType.instance()).min(1).max(1000),
+                        field().name("created_by").sql("CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END"),
+                        field().name("name").expression("#{Name.name}"),
+                        field().name("open_time").type(TimestampType.instance()).min(java.sql.Date.valueOf("2022-01-01")),
+                        field().name("status").oneOf("open", "closed", "suspended", "pending")
+                );
+
+        var config = configuration()
+                .generatedReportsFolderPath("/opt/app/data/report")
+                .enableUniqueCheck(true);
+
+        execute(config, accountTask);
+    }
+}
+
+
+
+
class MyCsvPlan extends PlanRun {
+
+  val accountTask = csv("customer_accounts", "/opt/app/data/customer/account", Map("header" -> "true"))
+    .schema(
+      field.name("account_id").regex("ACC[0-9]{8}").unique(true),
+      field.name("balance").`type`(DoubleType).min(1).max(1000),
+      field.name("created_by").sql("CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END"),
+      field.name("name").expression("#{Name.name}"),
+      field.name("open_time").`type`(TimestampType).min(java.sql.Date.valueOf("2022-01-01")),
+      field.name("status").oneOf("open", "closed", "suspended", "pending")
+    )
+    val config = configuration
+      .generatedReportsFolderPath("/opt/app/data/report")
+      .enableUniqueCheck(true)
+
+    execute(config, accountTask)
+}
+
+
+
+
+

Run

+

Now we can run via the script ./run.sh that is in the top level directory of the data-caterer-example to run the +class we just +created.

+
./run.sh
+#input class MyCsvJavaPlan or MyCsvPlan
+#after completing
+head docker/sample/customer/account/part-00000*
+
+

Your output should look like this.

+
account_id,balance,created_by,name,open_time,status
+ACC06192462,853.9843359645766,eod,Hoyt Kertzmann MD,2023-07-22T11:17:01.713Z,closed
+ACC15350419,632.5969895326234,eod,Dr. Claude White,2022-12-13T21:57:56.840Z,open
+ACC25134369,592.0958847218986,eod,Fabian Rolfson,2023-04-26T04:54:41.068Z,open
+ACC48021786,656.6413439322964,eod,Dewayne Stroman,2023-05-17T06:31:27.603Z,open
+ACC26705211,447.2850352884595,event,Garrett Funk,2023-07-14T03:50:22.746Z,pending
+ACC03150585,750.4568929015996,event,Natisha Reichel,2023-04-11T11:13:10.080Z,suspended
+ACC29834210,686.4257811608622,event,Gisele Ondricka,2022-11-15T22:09:41.172Z,suspended
+ACC39373863,583.5110618128994,event,Thaddeus Ortiz,2022-09-30T06:33:57.193Z,suspended
+ACC39405798,989.2623959059525,eod,Shelby Reinger,2022-10-23T17:29:17.564Z,open
+
+

Also check the HTML report, found at docker/sample/report/index.html, that gets generated to get an overview of what +was executed.

+

Sample report

+

Join With Another CSV

+

Now that we have generated some accounts, let's also try to generate a set of transactions for those accounts in CSV +format as well. The transactions could be in any other format, but to keep this simple, we will continue using CSV.

+

We can define our schema the same way along with any additional metadata.

+
+
+
+
var transactionTask = csv("customer_transactions", "/opt/app/data/customer/transaction", Map.of("header", "true"))
+        .schema(
+                field().name("account_id"),
+                field().name("name"),
+                field().name("amount").type(DoubleType.instance()).min(1).max(100),
+                field().name("time").type(TimestampType.instance()).min(java.sql.Date.valueOf("2022-01-01")),
+                field().name("date").type(DateType.instance()).sql("DATE(time)")
+        );
+
+
+
+
val transactionTask = csv("customer_transactions", "/opt/app/data/customer/transaction", Map("header" -> "true"))
+  .schema(
+    field.name("account_id"),
+    field.name("full_name"),
+    field.name("amount").`type`(DoubleType).min(1).max(100),
+    field.name("time").`type`(TimestampType).min(java.sql.Date.valueOf("2022-01-01")),
+    field.name("date").`type`(DateType).sql("DATE(time)")
+  )
+
+
+
+
+

Records Per Column

+

Usually, for a given account_id, full_name, there should be multiple records for it as we want to simulate a customer +having multiple transactions. We can achieve this through defining the number of records to generate in the count +function.

+
+
+
+
var transactionTask = csv("customer_transactions", "/opt/app/data/customer/transaction", Map.of("header", "true"))
+        .schema(
+                ...
+        )
+        .count(count().recordsPerColumn(5, "account_id", "full_name"));
+
+
+
+
val transactionTask = csv("customer_transactions", "/opt/app/data/customer/transaction", Map("header" -> "true"))
+  .schema(
+    ...
+  )
+  .count(count.recordsPerColumn(5, "account_id", "full_name"))
+
+
+
+
+
Random Records Per Column
+

Above, you will notice that we are generating 5 records per account_id, full_name. This is okay but still not quite +reflective of the real world. Sometimes, people have accounts with no transactions in them, or they could have many. We +can accommodate for this via defining a random number of records per column.

+
+
+
+
var transactionTask = csv("customer_transactions", "/opt/app/data/customer/transaction", Map.of("header", "true"))
+        .schema(
+                ...
+        )
+        .count(count().recordsPerColumnGenerator(generator().min(0).max(5), "account_id", "full_name"));
+
+
+
+
val transactionTask = csv("customer_transactions", "/opt/app/data/customer/transaction", Map("header" -> "true"))
+  .schema(
+    ...
+  )
+  .count(count.recordsPerColumnGenerator(generator.min(0).max(5), "account_id", "full_name"))
+
+
+
+
+

Here we set the minimum number of records per column to be 0 and the maximum to 5.

+

Foreign Key

+

In this scenario, we want to match the account_id in account to match the same column values in transaction. We +also want to match name in account to full_name in transaction. This can be done via plan configuration like +below.

+
+
+
+
var myPlan = plan().addForeignKeyRelationship(
+        accountTask, List.of("account_id", "name"), //the task and columns we want linked
+        List.of(Map.entry(transactionTask, List.of("account_id", "full_name"))) //list of other tasks and their respective column names we want matched
+);
+
+
+
+
val myPlan = plan.addForeignKeyRelationship(
+  accountTask, List("account_id", "name"),  //the task and columns we want linked
+  List(transactionTask -> List("account_id", "full_name"))  //list of other tasks and their respective column names we want matched
+)
+
+
+
+
+

Now, stitching it all together for the execute function, our final plan should look like this.

+
+
+
+
public class MyCsvJavaPlan extends PlanRun {
+    {
+        var accountTask = csv("customer_accounts", "/opt/app/data/customer/account", Map.of("header", "true"))
+                .schema(
+                        field().name("account_id").regex("ACC[0-9]{8}").unique(true),
+                        field().name("balance").type(DoubleType.instance()).min(1).max(1000),
+                        field().name("created_by").sql("CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END"),
+                        field().name("name").expression("#{Name.name}"),
+                        field().name("open_time").type(TimestampType.instance()).min(java.sql.Date.valueOf("2022-01-01")),
+                        field().name("status").oneOf("open", "closed", "suspended", "pending")
+                )
+                .count(count().records(100));
+
+        var transactionTask = csv("customer_transactions", "/opt/app/data/customer/transaction", Map.of("header", "true"))
+                .schema(
+                        field().name("account_id"),
+                        field().name("name"),
+                        field().name("amount").type(DoubleType.instance()).min(1).max(100),
+                        field().name("time").type(TimestampType.instance()).min(java.sql.Date.valueOf("2022-01-01")),
+                        field().name("date").type(DateType.instance()).sql("DATE(time)")
+                )
+                .count(count().recordsPerColumnGenerator(generator().min(0).max(5), "account_id", "full_name"));
+
+        var config = configuration()
+                .generatedReportsFolderPath("/opt/app/data/report")
+                .enableUniqueCheck(true);
+
+        var myPlan = plan().addForeignKeyRelationship(
+                accountTask, List.of("account_id", "name"),
+                List.of(Map.entry(transactionTask, List.of("account_id", "full_name")))
+        );
+
+        execute(myPlan, config, accountTask, transactionTask);
+    }
+}
+
+
+
+
class MyCsvPlan extends PlanRun {
+
+  val accountTask = csv("customer_accounts", "/opt/app/data/customer/account", Map("header" -> "true"))
+    .schema(
+      field.name("account_id").regex("ACC[0-9]{8}").unique(true),
+      field.name("balance").`type`(DoubleType).min(1).max(1000),
+      field.name("created_by").sql("CASE WHEN status IN ('open', 'closed') THEN 'eod' ELSE 'event' END"),
+      field.name("name").expression("#{Name.name}"),
+      field.name("open_time").`type`(TimestampType).min(java.sql.Date.valueOf("2022-01-01")),
+      field.name("status").oneOf("open", "closed", "suspended", "pending")
+    )
+    .count(count.records(100))
+
+  val transactionTask = csv("customer_transactions", "/opt/app/data/customer/transaction", Map("header" -> "true"))
+    .schema(
+      field.name("account_id"),
+      field.name("name"),
+      field.name("amount").`type`(DoubleType).min(1).max(100),
+      field.name("time").`type`(TimestampType).min(java.sql.Date.valueOf("2022-01-01")),
+      field.name("date").`type`(DateType).sql("DATE(time)")
+    )
+    .count(count.recordsPerColumnGenerator(generator.min(0).max(5), "account_id", "full_name"))
+
+  val config = configuration
+    .generatedReportsFolderPath("/opt/app/data/report")
+    .enableUniqueCheck(true)
+
+  val myPlan = plan.addForeignKeyRelationship(
+    accountTask, List("account_id", "name"),
+    List(transactionTask -> List("account_id", "full_name"))
+  )
+
+  execute(myPlan, config, accountTask, transactionTask)
+}
+
+
+
+
+

Let's try run again.

+
#clean up old data
+rm -rf docker/sample/customer/account
+./run.sh
+#input class MyCsvJavaPlan or MyCsvPlan
+#after completing, let's pick an account and check the transactions for that account
+account=$(tail -1 docker/sample/customer/account/part-00000* | awk -F "," '{print $1 "," $4}')
+echo $account
+cat docker/sample/customer/transaction/part-00000* | grep $account
+
+

It should look something like this.

+
ACC29117767,Willodean Sauer
+ACC29117767,Willodean Sauer,84.99145871948083,2023-05-14T09:55:51.439Z,2023-05-14
+ACC29117767,Willodean Sauer,58.89345733567232,2022-11-22T07:38:20.143Z,2022-11-22
+
+

Congratulations! You have now made a data generator that has simulated a real world data scenario. You can check the +DocumentationJavaPlanRun.java or DocumentationPlanRun.scala files as well to check that your plan is the same.

+

We can now look to consume this CSV data from a job or service. Usually, once we have consumed the data, we would also +want to check and validate that our consumer has correctly ingested the data.

+

Validate

+

In this scenario, our consumer will read in the CSV file, do some transformations, and then save the data to Postgres. +Let's try to configure data validations for the data that gets pushed into Postgres.

+

Postgres setup

+

First, we define our connection properties for Postgres. You can check out the full options available +here.

+
+
+
+
var postgresValidateTask = postgres(
+    "my_postgres",                                          //connection name
+    "jdbc:postgresql://host.docker.internal:5432/customer", //url
+    "postgres",                                             //username
+    "password"                                              //password
+).table("account", "transactions");
+
+
+
+
val postgresValidateTask = postgres(
+  "my_postgres",                                          //connection name
+  "jdbc:postgresql://host.docker.internal:5432/customer", //url
+  "postgres",                                             //username
+  "password"                                              //password
+).table("account", "transactions")
+
+
+
+
+

We can connect and access the data inside the table account.transactions. Now to define our data validations.

+

Validations

+

For full information about validation options and configurations, check here. +Below, we have an example that should give you a good understanding of what validations are possible.

+
+
+
+
var postgresValidateTask = postgres(...)
+        .table("account", "transactions")
+        .validations(
+                validation().col("account_id").isNotNull(),
+                validation().col("name").matches("[A-Z][a-z]+ [A-Z][a-z]+").errorThreshold(0.2).description("Some names have different formats"),
+                validation().col("balance").greaterThanOrEqual(0).errorThreshold(10).description("Account can have negative balance if overdraft"),
+                validation().expr("CASE WHEN status == 'closed' THEN isNotNull(close_date) ELSE isNull(close_date) END"),
+                validation().unique("account_id", "name"),
+                validation().groupBy("account_id", "name").max("login_retry").lessThan(10)
+        );
+
+
+
+
val postgresValidateTask = postgres(...)
+  .table("account", "transactions")
+  .validations(
+    validation.col("account_id").isNotNull,
+    validation.col("name").matches("[A-Z][a-z]+ [A-Z][a-z]+").errorThreshold(0.2).description("Some names have different formats"),
+    validation.col("balance").greaterThanOrEqual(0).errorThreshold(10).description("Account can have negative balance if overdraft"),
+    validation.expr("CASE WHEN status == 'closed' THEN isNotNull(close_date) ELSE isNull(close_date) END"),
+    validation.unique("account_id", "name"),
+    validation.groupBy("account_id", "name").max("login_retry").lessThan(10)
+  )
+
+
+
+
+
name
+

For all values in the name column, we check if they match the regex [A-Z][a-z]+ [A-Z][a-z]+. As we know in the real +world, names do not always follow the same pattern, so we allow for an errorThreshold before marking the validation +as failed. Here, we define the errorThreshold to be 0.2, which means, if the error percentage is greater than 20%, +then fail the validation. We also append on a helpful description so other developers/users can understand the context +of the validation.

+
balance
+

We check that all balance values are greater than or equal to 0. This time, we have a slightly different +errorThreshold as it is set to 10, which means, if the number of errors is greater than 10, then fail the +validation.

+
expr
+

Sometimes, we may need to include the values of multiple columns to validate a certain condition. This is where we can +use expr to define a SQL expression that returns a boolean. In this scenario, we are checking if the status column +has value closed, then the close_date should be not null, otherwise, close_date is null.

+
unique
+

We check whether the combination of account_id and name are unique within the dataset. You can define one or more +columns for unique validations.

+
groupBy
+

There may be some business rule that states the number of login_retry should be less than 10 for each account. We can +check this via a group by validation where we group by the account_id, name, take the maximum value +for login_retry per account_id,name combination, then check if it is less than 10.

+

You can now look to play around with other configurations or data sources to meet your needs. Also, make sure to explore +the docs further as it can guide you on what can be configured.

+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/guide/scenario/records-per-column/index.html b/setup/guide/scenario/records-per-column/index.html new file mode 100644 index 00000000..d8c3d82b --- /dev/null +++ b/setup/guide/scenario/records-per-column/index.html @@ -0,0 +1,3397 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Generate Multiple Records Per Column Example - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Multiple Records Per Column

+

Creating a data generator for a CSV file where there are multiple records per column values.

+

Requirements

+
    +
  • 5 minutes
  • +
  • Git
  • +
  • Gradle
  • +
  • Docker
  • +
+

Get Started

+

First, we will clone the data-caterer-example repo which will already have the base project setup required.

+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+
+
git clone git@github.com:data-catering/data-caterer-example.git
+
+
+ +
+
+

Plan Setup

+

Create a new Java or Scala class.

+
    +
  • Java: src/main/java/io/github/datacatering/plan/MyMultipleRecordsPerColJavaPlan.java
  • +
  • Scala: src/main/scala/io/github/datacatering/plan/MyMultipleRecordsPerColPlan.scala
  • +
+

Make sure your class extends PlanRun.

+
+
+
+
import io.github.datacatering.datacaterer.java.api.PlanRun;
+...
+
+public class MyMultipleRecordsPerColJavaPlan extends PlanRun {
+    {
+        var transactionTask = csv("customer_transactions", "/opt/app/data/customer/transaction", Map.of("header", "true"))
+                .schema(
+                        field().name("account_id"),
+                        field().name("full_name"),
+                        field().name("amount").type(DoubleType.instance()).min(1).max(100),
+                        field().name("time").type(TimestampType.instance()).min(java.sql.Date.valueOf("2022-01-01")),
+                        field().name("date").type(DateType.instance()).sql("DATE(time)")
+                );
+
+        var config = configuration()
+                .generatedReportsFolderPath("/opt/app/data/report")
+                .enableUniqueCheck(true);
+
+        execute(config, transactionTask);
+    }
+}
+
+
+
+
import io.github.datacatering.datacaterer.api.PlanRun
+...
+
+class MyMultipleRecordsPerColPlan extends PlanRun {
+
+  val transactionTask = csv("customer_transactions", "/opt/app/data/customer/transaction", Map("header" -> "true"))
+    .schema(
+      field.name("account_id").regex("ACC[0-9]{8}"), 
+      field.name("full_name").expression("#{Name.name}"), 
+      field.name("amount").`type`(DoubleType.instance).min(1).max(100),
+      field.name("time").`type`(TimestampType.instance).min(java.sql.Date.valueOf("2022-01-01")), 
+      field.name("date").`type`(DateType.instance).sql("DATE(time)")
+    )
+
+  val config = configuration
+    .generatedReportsFolderPath("/opt/app/data/report")
+
+  execute(config, transactionTask)
+}
+
+
+
+
+

Record Count

+

By default, tasks will generate 1000 records. You can alter this value via the count configuration which can be +applied to individual tasks. For example, in Scala, csv(...).count(count.records(100)) to generate only 100 records.

+

Records Per Column

+

In this scenario, for a given account_id, full_name, there should be multiple records for it as we want to simulate a +customer having multiple transactions. We can achieve this through defining the number of records to generate in +the count function.

+
+
+
+
var transactionTask = csv("customer_transactions", "/opt/app/data/customer/transaction", Map.of("header", "true"))
+        .schema(
+                ...
+        )
+        .count(count().recordsPerColumn(5, "account_id", "full_name"));
+
+
+
+
val transactionTask = csv("customer_transactions", "/opt/app/data/customer/transaction", Map("header" -> "true"))
+  .schema(
+    ...
+  )
+  .count(count.recordsPerColumn(5, "account_id", "full_name"))
+
+
+
+
+

This will generate 1000 * 5 = 5000 records as the default number of records is set (1000) and +per account_id, full_name from the initial 1000 records, 5 records will be generated.

+

Random Records Per Column

+

Generating 5 records per column is okay but still not quite reflective of the real world. Sometimes, people have +accounts with no transactions in them, or they could have many. We can accommodate for this via defining a random number +of records per column.

+
+
+
+
var transactionTask = csv("customer_transactions", "/opt/app/data/customer/transaction", Map.of("header", "true"))
+        .schema(
+                ...
+        )
+        .count(count().recordsPerColumnGenerator(generator().min(0).max(5), "account_id", "full_name"));
+
+
+
+
val transactionTask = csv("customer_transactions", "/opt/app/data/customer/transaction", Map("header" -> "true"))
+  .schema(
+    ...
+  )
+  .count(count.recordsPerColumnGenerator(generator.min(0).max(5), "account_id", "full_name"))
+
+
+
+
+

Here we set the minimum number of records per column to be 0 and the maximum to 5. This will follow a uniform +distribution so the average number of records per account is 2.5. We could also define other metadata, +just like we did with fields, when defining the generator. For example, we could set standardDeviation and mean for +the number of records generated per column to follow a normal distribution.

+

Run

+

Let's try run.

+
#clean up old data
+rm -rf docker/sample/customer/account
+./run.sh
+#input class MyMultipleRecordsPerColJavaPlan or MyMultipleRecordsPerColPlan
+#after completing
+head docker/sample/customer/transaction/part-00000*
+
+

It should look something like this.

+
ACC29117767,Willodean Sauer
+ACC29117767,Willodean Sauer,84.99145871948083,2023-05-14T09:55:51.439Z,2023-05-14
+ACC29117767,Willodean Sauer,58.89345733567232,2022-11-22T07:38:20.143Z,2022-11-22
+
+

You can now look to play around with other count configurations found here.

+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/index.html b/setup/index.html new file mode 100644 index 00000000..fc245947 --- /dev/null +++ b/setup/index.html @@ -0,0 +1,3164 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Setup - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Setup

+

All the configurations and customisation related to Data Caterer can be found under here.

+

Guide

+

If you want a guided tour of using the Java or Scala API, you can follow one of the guides found here.

+

Specific Configuration

+
+
    +
  • Configurations - Configurations relating to feature flags, folder pathways, metadata + analysis
  • +
  • Connections - Explore the data source connections available
  • +
  • Generators - Choose and configure the type of generator you want used for + fields
  • +
  • Validations - How to validate data to ensure your system is performing as expected
  • +
  • Foreign Keys - Define links between data elements across data sources
  • +
  • Deployment - Deploy Data Caterer as a job to your chosen environment
  • +
  • Advanced - Advanced usage of Data Caterer
  • +
+
+

High Level Run Configurations

+

High level run configurations

+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/report/alert/index.html b/setup/report/alert/index.html new file mode 100644 index 00000000..5689ad4a --- /dev/null +++ b/setup/report/alert/index.html @@ -0,0 +1,3161 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + Alert - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Alert

+

Alerts can be configured to help users receive feedback from their data testing results. Currently, Data Caterer +supports Slack for alerts.

+

Slack

+

Define a Slack token and one or more Slack channels that will +receive an alert like the below.

+

Slack alert sample

+
+
+
+
var conf = configuration()
+    .slackAlertToken("abc123")                                //use appropriate Slack token (usually bot token)
+    .slackAlertChannels("#test-alerts", "#pre-prod-testing"); //define Slack channel(s) to receive alerts on
+
+execute(conf, ...);
+
+
+
+
val conf = configuration
+  .slackAlertToken("abc123")                                //use appropriate Slack token (usually bot token)
+  .slackAlertChannels("#test-alerts", "#pre-prod-testing")  //define Slack channel(s) to receive alerts on
+
+execute(conf, ...)
+
+
+
+
+ + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/report/html-report/index.html b/setup/report/html-report/index.html new file mode 100644 index 00000000..afbd8319 --- /dev/null +++ b/setup/report/html-report/index.html @@ -0,0 +1,3139 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + HTML Report - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Report

+

Data Caterer can be configured to produce a report of the data generated to help users understand what was run, how much +data was generated, where it was generated, validation results and any associated metadata.

+

Sample

+

Once run, it will produce a report like this.

+ + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/validation/basic-validation/index.html b/setup/validation/basic-validation/index.html new file mode 100644 index 00000000..0f98f070 --- /dev/null +++ b/setup/validation/basic-validation/index.html @@ -0,0 +1,4190 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Column Validations - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Basic Validations

+

Run validations on a column to ensure the values adhere to your requirement. Can be set to complex validation logic +via SQL expression as well if needed (see here).

+

Pre-filter

+

If you want to only run the validation on a specific subset of data, you can define pre-filter conditions. Find more +details here.

+

Equal

+

Ensure all data in column is equal to certain value. Value can be of any data type. Can use isEqualCol to define SQL +expression that can reference other columns.

+
+
+
+
validation().col("year").isEqual(2021),
+validation().col("year").isEqualCol("YEAR(date)"),
+
+
+
+
validation.col("year").isEqual(2021),
+validation.col("year").isEqualCol("YEAR(date)"),
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  ...
+    validations:
+      - whereExpr: "year == 2021"
+
+
+
+
+

Not Equal

+

Ensure all data in column is not equal to certain value. Value can be of any data type. Can use isNotEqualCol to +define SQL expression that can reference other columns.

+
+
+
+
validation().col("year").isNotEqual(2021),
+validation().col("year").isNotEqualCol("YEAR(date)"),
+
+
+
+
validation.col("year").isNotEqual(2021)
+validation.col("year").isEqualCol("YEAR(date)"),
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  ...
+    validations:
+      - whereExpr: "year != 2021"
+
+
+
+
+

Null

+

Ensure all data in column is null.

+
+
+
+
validation().col("year").isNull()
+
+
+
+
validation.col("year").isNull
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  ...
+    validations:
+      - whereExpr: "ISNULL(year)"
+
+
+
+
+

Not Null

+

Ensure all data in column is not null.

+
+
+
+
validation().col("year").isNotNull()
+
+
+
+
validation.col("year").isNotNull
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  ...
+    validations:
+      - whereExpr: "ISNOTNULL(year)"
+
+
+
+
+

Contains

+

Ensure all data in column is contains certain string. Column has to have type string.

+
+
+
+
validation().col("name").contains("peter")
+
+
+
+
validation.col("name").contains("peter")
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  ...
+    validations:
+      - whereExpr: "CONTAINS(name, 'peter')"
+
+
+
+
+

Not Contains

+

Ensure all data in column does not contain certain string. Column has to have type string.

+
+
+
+
validation().col("name").notContains("peter")
+
+
+
+
validation.col("name").notContains("peter")
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  ...
+    validations:
+      - whereExpr: "!CONTAINS(name, 'peter')"
+
+
+
+
+

Unique

+

Ensure all data in column is unique.

+
+
+
+
validation().unique("account_id", "name")
+
+
+
+
validation.unique("account_id", "name")
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  ...
+    validations:
+      - unique: ["account_id", "name"]
+
+
+
+
+

Less Than

+

Ensure all data in column is less than certain value. Can use lessThanCol to define SQL expression that can reference +other columns.

+
+
+
+
validation().col("amount").lessThan(100),
+validation().col("amount").lessThanCol("balance + 1"),
+
+
+
+
validation.col("amount").lessThan(100),
+validation.col("amount").lessThanCol("balance + 1"),
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  ...
+    validations:
+      - whereExpr: "amount < 100"
+      - whereExpr: "amount < balance + 1"
+
+
+
+
+

Less Than Or Equal

+

Ensure all data in column is less than or equal to certain value. Can use lessThanOrEqualCol to define SQL expression +that can reference other columns.

+
+
+
+
validation().col("amount").lessThanOrEqual(100),
+validation().col("amount").lessThanOrEqualCol("balance + 1"),
+
+
+
+
validation.col("amount").lessThanOrEqual(100),
+validation.col("amount").lessThanCol("balance + 1"),
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  ...
+    validations:
+      - whereExpr: "amount <= 100"
+      - whereExpr: "amount <= balance + 1"
+
+
+
+
+

Greater Than

+

Ensure all data in column is greater than certain value. Can use greaterThanCol to define SQL expression +that can reference other columns.

+
+
+
+
validation().col("amount").greaterThan(100),
+validation().col("amount").greaterThanCol("balance"),
+
+
+
+
validation.col("amount").greaterThan(100),
+validation.col("amount").greaterThanCol("balance"),
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  ...
+    validations:
+      - whereExpr: "amount > 100"
+      - whereExpr: "amount > balance"
+
+
+
+
+

Greater Than Or Equal

+

Ensure all data in column is greater than or equal to certain value. Can use greaterThanOrEqualCol to define SQL +expression that can reference other columns.

+
+
+
+
validation().col("amount").greaterThanOrEqual(100),
+validation().col("amount").greaterThanOrEqualCol("balance"),
+
+
+
+
validation.col("amount").greaterThanOrEqual(100),
+validation.col("amount").greaterThanOrEqualCol("balance"),
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  ...
+    validations:
+      - whereExpr: "amount >= 100"
+      - whereExpr: "amount >= balance"
+
+
+
+
+

Between

+

Ensure all data in column is between two values. Can use betweenCol to define SQL expression that references other +columns.

+
+
+
+
validation().col("amount").between(100, 200),
+validation().col("amount").betweenCol("balance * 0.9", "balance * 1.1"),
+
+
+
+
validation.col("amount").between(100, 200),
+validation.col("amount").betweenCol("balance * 0.9", "balance * 1.1"),
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  ...
+    validations:
+      - whereExpr: "amount BETWEEN 100 AND 200"
+      - whereExpr: "amount BETWEEN balance * 0.9 AND balance * 1.1"
+
+
+
+
+

Not Between

+

Ensure all data in column is not between two values. Can use notBetweenCol to define SQL expression that references +other columns.

+
+
+
+
validation().col("amount").notBetween(100, 200),
+validation().col("amount").notBetweenCol("balance * 0.9", "balance * 1.1"),
+
+
+
+
validation.col("amount").notBetween(100, 200)
+validation.col("amount").notBetweenCol("balance * 0.9", "balance * 1.1"),
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  ...
+    validations:
+      - whereExpr: "amount NOT BETWEEN 100 AND 200"
+      - whereExpr: "amount NOT BETWEEN balance * 0.9 AND balance * 1.1"
+
+
+
+
+

In

+

Ensure all data in column is in set of defined values.

+
+
+
+
validation().col("status").in("open", "closed")
+
+
+
+
validation.col("status").in("open", "closed")
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  ...
+    validations:
+      - whereExpr: "status IN ('open', 'closed')"
+
+
+
+
+

Matches

+

Ensure all data in column matches certain regex expression.

+
+
+
+
validation().col("account_id").matches("ACC[0-9]{8}")
+
+
+
+
validation.col("account_id").matches("ACC[0-9]{8}")
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  ...
+    validations:
+      - whereExpr: "REGEXP(account_id, ACC[0-9]{8})"
+
+
+
+
+

Not Matches

+

Ensure all data in column does not match certain regex expression.

+
+
+
+
validation().col("account_id").notMatches("^acc.*")
+
+
+
+
validation.col("account_id").notMatches("^acc.*")
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  ...
+    validations:
+      - whereExpr: "!REGEXP(account_id, '^acc.*')"
+
+
+
+
+

Starts With

+

Ensure all data in column starts with certain string. Column has to have type string.

+
+
+
+
validation().col("account_id").startsWith("ACC")
+
+
+
+
validation.col("account_id").startsWith("ACC")
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  ...
+    validations:
+      - whereExpr: "STARTSWITH(account_id, 'ACC')"
+
+
+
+
+

Not Starts With

+

Ensure all data in column does not start with certain string. Column has to have type string.

+
+
+
+
validation().col("account_id").notStartsWith("ACC")
+
+
+
+
validation.col("account_id").notStartsWith("ACC")
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  ...
+    validations:
+      - whereExpr: "!STARTSWITH(account_id, 'ACC')"
+
+
+
+
+

Ends With

+

Ensure all data in column ends with certain string. Column has to have type string.

+
+
+
+
validation().col("account_id").endsWith("ACC")
+
+
+
+
validation.col("account_id").endsWith("ACC")
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  ...
+    validations:
+      - whereExpr: "ENDWITH(account_id, 'ACC')"
+
+
+
+
+

Not Ends With

+

Ensure all data in column does not end with certain string. Column has to have type string.

+
+
+
+
validation().col("account_id").notEndsWith("ACC")
+
+
+
+
validation.col("account_id").notEndsWith("ACC")
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  ...
+    validations:
+      - whereExpr: "!ENDWITH(account_id, 'ACC')"
+
+
+
+
+

Size

+

Ensure all data in column has certain size. Column has to have type array or map.

+
+
+
+
validation().col("transactions").size(5)
+
+
+
+
validation.col("transactions").size(5)
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  ...
+    validations:
+      - whereExpr: "SIZE(transactions, 5)"
+
+
+
+
+

Not Size

+

Ensure all data in column does not have certain size. Column has to have type array or map.

+
+
+
+
validation().col("transactions").notSize(5)
+
+
+
+
validation.col("transactions").notSize(5)
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  ...
+    validations:
+      - whereExpr: "SIZE(transactions) != 5"
+
+
+
+
+

Less Than Size

+

Ensure all data in column has size less than certain value. Column has to have type array or map.

+
+
+
+
validation().col("transactions").lessThanSize(5)
+
+
+
+
validation.col("transactions").lessThanSize(5)
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  ...
+    validations:
+      - whereExpr: "SIZE(transactions) < 5"
+
+
+
+
+

Less Than Or Equal Size

+

Ensure all data in column has size less than or equal to certain value. Column has to have type array or map.

+
+
+
+
validation().col("transactions").lessThanOrEqualSize(5)
+
+
+
+
validation.col("transactions").lessThanOrEqualSize(5)
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  ...
+    validations:
+      - whereExpr: "SIZE(transactions) <= 5"
+
+
+
+
+

Greater Than Size

+

Ensure all data in column has size greater than certain value. Column has to have type array or map.

+
+
+
+
validation().col("transactions").greaterThanSize(5)
+
+
+
+
validation.col("transactions").greaterThanSize(5)
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  ...
+    validations:
+      - whereExpr: "SIZE(transactions) > 5"
+
+
+
+
+

Greater Than Or Equal Size

+

Ensure all data in column has size greater than or equal to certain value. Column has to have type array or map.

+
+
+
+
validation().col("transactions").greaterThanOrEqualSize(5)
+
+
+
+
validation.col("transactions").greaterThanOrEqualSize(5)
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  ...
+    validations:
+      - whereExpr: "SIZE(transactions) >= 5"
+
+
+
+
+

Luhn Check

+

Ensure all data in column passes luhn check. Luhn check is used to validate credit card numbers and certain +identification numbers (see here for more details).

+
+
+
+
validation().col("credit_card").luhnCheck()
+
+
+
+
validation.col("credit_card").luhnCheck
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  ...
+    validations:
+      - whereExpr: "LUHN_CHECK(credit_card)"
+
+
+
+
+

Has Type

+

Ensure all data in column has certain data type.

+
+
+
+
validation().col("id").hasType("string")
+
+
+
+
validation.col("id").hasType("string")
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  ...
+    validations:
+      - whereExpr: "TYPEOF(id) == 'string'"
+
+
+
+
+

Expression

+

Ensure all data in column adheres to SQL expression defined that returns back a boolean. You can define complex logic in +here that could combine multiple columns.

+

For example, CASE WHEN status == 'open' THEN balance > 0 ELSE balance == 0 END would check all rows with status +open to have balance greater than 0, otherwise, check the balance is 0.

+
+
+
+
var csvTxns = csv("transactions", "/tmp/csv", Map.of("header", "true"))
+  .validations(
+    validation().expr("amount < 100"),
+    validation().expr("year == 2021").errorThreshold(0.1),  //equivalent to if error percentage is > 10%, then fail
+    validation().expr("REGEXP_LIKE(name, 'Peter .*')").errorThreshold(200)  //equivalent to if number of errors is > 200, then fail
+  );
+
+var conf = configuration().enableValidation(true);
+
+
+
+
val csvTxns = csv("transactions", "/tmp/csv", Map("header" -> "true"))
+  .validations(
+    validation.expr("amount < 100"),
+    validation.expr("year == 2021").errorThreshold(0.1),  //equivalent to if error percentage is > 10%, then fail
+    validation.expr("REGEXP_LIKE(name, 'Peter .*')").errorThreshold(200)  //equivalent to if number of errors is > 200, then fail
+  )
+
+val conf = configuration.enableValidation(true)
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  transactions:
+    options:
+      path: "/tmp/csv"
+    validations:
+      - whereExpr: "amount < 100"
+      - whereExpr: "year == 2021"
+        errorThreshold: 0.1   #equivalent to if error percentage is > 10%, then fail
+      - whereExpr: "REGEXP_LIKE(name, 'Peter .*')"
+        errorThreshold: 200   #equivalent to if number of errors is > 200, then fail
+        description: "Should be lots of Peters"
+
+#enableValidation inside application.conf
+
+
+
+
+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/validation/column-name-validation/index.html b/setup/validation/column-name-validation/index.html new file mode 100644 index 00000000..8d7ad025 --- /dev/null +++ b/setup/validation/column-name-validation/index.html @@ -0,0 +1,3232 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Column Name Validations - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Column Name Validations

+

Run validations on the column names to check for column name count of existence of column names.

+

Count Equal

+

Ensure column name count is equal to certain number.

+
+
+
+
validation().columnNames().countEqual(3)
+
+
+
+
validation.columnNames.countEqual(3)
+
+
+
+
+

Not Equal

+

Ensure column name count is between two numbers.

+
+
+
+
validation().columnNames().countBetween(10, 12)
+
+
+
+
validation.columnNames.countBetween(10, 12)
+
+
+
+
+

Match Order

+

Ensure all column names match particular ordering and is complete.

+
+
+
+
validation().columnNames().matchOrder("account_id", "amount", "name")
+
+
+
+
validation.columnNames.matchOrder("account_id", "amount", "name")
+
+
+
+
+

Match Set

+

Ensure column names contains set of expected names. Order is not checked.

+
+
+
+
validation().columnNames().matchSet("account_id", "first_name")
+
+
+
+
validation.columnNames.matchSet("account_id", "first_name")
+
+
+
+
+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/validation/external-source-validation/index.html b/setup/validation/external-source-validation/index.html new file mode 100644 index 00000000..33b87a3f --- /dev/null +++ b/setup/validation/external-source-validation/index.html @@ -0,0 +1,3257 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + External Source Validations such as Great Expectations, OpenMetadata, Soda, DBT - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

External Source Validations

+

Use validations that are defined in external sources such as Great Expectations or OpenMetadata. This allows you to +generate data for your upstream data sources and validate your pipelines based on the same rules that would be applied +in production.

+

Example flow with validations from external source

+
+

Info

+

Retrieving data validations from an external source is a paid feature. Try the free trial here.

+
+

Supported Sources

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
SourceSupport
OpenMetadata✅
Great Expectations✅
DBT Constraints
SodaCL
MonteCarlo
+

OpenMetadata

+

Use data quality rules defined from OpenMetadata to execute over dataset.

+
+
+
+
var jsonTask = json("my_json", "/opt/app/data/json")
+    .validations(metadataSource().openMetadata(
+        "http://host.docker.internal:8585/api",
+        Constants.OPEN_METADATA_AUTH_TYPE_OPEN_METADATA(),
+        Map.of(
+                Constants.OPEN_METADATA_JWT_TOKEN(), "abc123",
+                Constants.OPEN_METADATA_TABLE_FQN(), "sample_data.ecommerce_db.shopify.raw_customer"
+        )
+    ));
+
+var conf = configuration().enableGenerateValidations(true);
+
+
+
+
val jsonTask = json("my_json", "/opt/app/data/json")
+  .validations(metadataSource.openMetadata(
+    "http://host.docker.internal:8585/api",
+    OPEN_METADATA_AUTH_TYPE_OPEN_METADATA,
+    Map(
+      OPEN_METADATA_JWT_TOKEN -> "abc123", //find under settings/bots/ingestion-bot/token
+      OPEN_METADATA_TABLE_FQN -> "sample_data.ecommerce_db.shopify.raw_customer"
+    )
+  ))
+
+val conf = configuration.enableGenerateValidations(true)
+
+
+
+
+

Great Expectations

+

Use data quality rules defined from OpenMetadata to execute over dataset.

+
+
+
+
var jsonTask = json("my_json", "/opt/app/data/json")
+    .validations(metadataSource().greatExpectations("great-expectations/taxi-expectations.json");
+
+var conf = configuration().enableGenerateValidations(true);
+
+
+
+
val jsonTask = json("my_json", "/opt/app/data/json")
+  .validations(metadataSource.greatExpectations("great-expectations/taxi-expectations.json")
+
+val conf = configuration.enableGenerateValidations(true)
+
+
+
+
+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/validation/group-by-validation/index.html b/setup/validation/group-by-validation/index.html new file mode 100644 index 00000000..723c09d4 --- /dev/null +++ b/setup/validation/group-by-validation/index.html @@ -0,0 +1,3348 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Group By/Aggregate Validations - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Group By Validation

+

If you want to run aggregations based on a particular set of columns or just the whole dataset, you can do so via group +by validations. An example would be checking that the sum of amount is less than 1000 per account_id, year. The +validations applied can be one of the validations from the basic validation set found here.

+

Pre-filter

+

If you want to only run the validation on a specific subset of data, you can define pre-filter conditions. Find more +details here.

+

Record count

+

Check the number of records across the whole dataset.

+
+
+
+
validation().groupBy().count().lessThan(1000)
+
+
+
+
validation.groupBy().count().lessThan(1000)
+
+
+
+
+

Record count per group

+

Check the number of records for each group.

+
+
+
+
validation().groupBy("account_id", "year").count().lessThan(10)
+
+
+
+
validation.groupBy("account_id", "year").count().lessThan(10)
+
+
+
+
+

Sum

+

Check the sum of a columns values for each group adheres to validation.

+
+
+
+
validation().groupBy("account_id", "year").sum("amount").lessThan(1000)
+
+
+
+
validation.groupBy("account_id", "year").sum("amount").lessThan(1000)
+
+
+
+
+

Count

+

Check the count for each group adheres to validation.

+
+
+
+
validation().groupBy("account_id", "year").count("amount").lessThan(10)
+
+
+
+
validation.groupBy("account_id", "year").count("amount").lessThan(10)
+
+
+
+
+

Min

+

Check the min for each group adheres to validation.

+
+
+
+
validation().groupBy("account_id", "year").min("amount").greaterThan(0)
+
+
+
+
validation.groupBy("account_id", "year").min("amount").greaterThan(0)
+
+
+
+
+

Max

+

Check the max for each group adheres to validation.

+
+
+
+
validation().groupBy("account_id", "year").max("amount").lessThanOrEqual(100)
+
+
+
+
validation.groupBy("account_id", "year").max("amount").lessThanOrEqual(100)
+
+
+
+
+

Average

+

Check the average for each group adheres to validation.

+
+
+
+
validation().groupBy("account_id", "year").avg("amount").between(40, 60)
+
+
+
+
validation.groupBy("account_id", "year").avg("amount").between(40, 60)
+
+
+
+
+

Standard deviation

+

Check the standard deviation for each group adheres to validation.

+
+
+
+
validation().groupBy("account_id", "year").stddev("amount").between(0.5, 0.6)
+
+
+
+
validation.groupBy("account_id", "year").stddev("amount").between(0.5, 0.6)
+
+
+
+
+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/validation/index.html b/setup/validation/index.html new file mode 100644 index 00000000..de300afa --- /dev/null +++ b/setup/validation/index.html @@ -0,0 +1,3485 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Data Validations - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Validations

+

Validations can be used to run data checks after you have run the data generator or even as a standalone task. A report +summarising the success or failure of the validations is produced and can be examined for further investigation.

+
+
    +
  • Basic - Basic column level validations
  • +
  • Group by/Aggregate - Run aggregates over grouped data, then validate
  • +
  • Upstream data source - Ensure record values exist in datasets based on other data sources or data generated
  • +
  • Column names - Validate column names and ordering
  • +
  • External validation source - Use pre-existing validation rules from sources such as Great Expectations or OpenMetadata
  • +
  • Data Profile (Coming soon) - Score how close the data profile of generated data is against the target data profile
  • +
+
+

Define Validations

+

Full example validations can be found below. For more details, check out each of the subsections defined further below.

+
+
+
+
var csvTxns = csv("transactions", "/tmp/csv")
+  .validations(
+    validation().col("amount").lessThan(100),
+    validation().col("year").isEqual(2021).errorThreshold(0.1),       //equivalent to if error percentage is > 10%, then fail
+    validation().col("name").matches("Peter .*").errorThreshold(200)  //equivalent to if number of errors is > 200, then fail
+  )
+  .validationWait(waitCondition().pause(1));
+
+var conf = configuration().enableValidation(true);
+
+
+
+
val csvTxns = csv("transactions", "/tmp/csv")
+  .validations(
+    validation.col("amount").lessThan(100),
+    validation.col("year").isEqual(2021).errorThreshold(0.1),       //equivalent to if error percentage is > 10%, then fail
+    validation.col("name").matches("Peter .*").errorThreshold(200)  //equivalent to if number of errors is > 200, then fail
+  )  
+  .validationWait(waitCondition.pause(1))
+
+val conf = configuration.enableValidation(true)
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  transactions:
+    options:
+      path: "/tmp/csv"
+    validations:
+      - whereExpr: "amount < 100"
+      - whereExpr: "year == 2021"
+        errorThreshold: 0.1   #equivalent to if error percentage is > 10%, then fail
+      - whereExpr: "REGEXP_LIKE(name, 'Peter .*')"
+        errorThreshold: 200   #equivalent to if number of errors is > 200, then fail
+        description: "Should be lots of Peters"
+      - whereExpr: "amount > 100"
+        preFilterExpr: "STARTSWITH(account_id, 'ACC')"
+      - whereExpr: "ISNOTNULL(name)"
+        preFilterExpr: "STARTSWITH(account_id, 'ACC') AND ISNOTNULL(merchant)"
+    waitCondition:
+      pauseInSeconds: 1
+
+
+
+
+

Pre-filter Data

+

If you need to run data validations on a subset of data, then you can define pre-filter conditions. An example would be +when you want to check that for all records with status=closed, that balance=0, you would define a pre-filter like below:

+
+
+
+
var csvTxns = csv("transactions", "/tmp/csv")
+  .validations(
+    validation().preFilter(columnPreFilter("status").isEqual("closed")).col("balance").isEqual(0)
+  );
+
+
+
+
val csvTxns = csv("transactions", "/tmp/csv")
+  .validations(
+    validation.preFilter(columnPreFilter("status").isEqual("closed")).col("balance").isEqual(0)
+  )  
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  transactions:
+    options:
+      path: "/tmp/csv"
+    validations:
+      - whereExpr: "balance == 0"
+        preFilterExpr: "status == 'closed'"
+
+
+
+
+

Wait Condition

+

Once data has been generated, you may want to wait for a certain condition to be met before starting the data +validations. This can be via:

+
    +
  • Pause for seconds
  • +
  • When file is available
  • +
  • Data exists
  • +
  • Webhook
  • +
+

Pause

+
+
+
+
var csvTxns = csv("transactions", "/tmp/csv")
+  .validationWait(waitCondition().pause(1));
+
+
+
+
val csvTxns = csv("transactions", "/tmp/csv")
+  .validationWait(waitCondition.pause(1))
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  transactions:
+    options:
+      path: "/tmp/csv"
+    waitCondition:
+      pauseInSeconds: 1
+
+
+
+
+

Data exists

+
+
+
+
var csvTxns = csv("transactions", "/tmp/csv")
+  .validationWaitDataExists("updated_date > DATE('2023-01-01')");
+
+
+
+
val csvTxns = csv("transactions", "/tmp/csv")
+  .validationWaitDataExists("updated_date > DATE('2023-01-01')")
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  transactions:
+    options:
+      path: "/tmp/csv"
+    waitCondition:
+      dataSourceName: "transactions"
+      options:
+        path: "/tmp/csv"
+      expr: "updated_date > DATE('2023-01-01')"
+
+
+
+
+

Webhook

+
+
+
+
var csvTxns = csv("transactions", "/tmp/csv")
+  .validationWait(waitCondition().webhook("http://localhost:8080/finished")); //by default, GET request successful when 200 status code
+
+//or
+
+var csvTxnsWithStatusCodes = csv("transactions", "/tmp/csv")
+  .validationWait(waitCondition().webhook("http://localhost:8080/finished", "GET", 200, 202));  //successful if 200 or 202 status code
+
+//or
+
+var csvTxnsWithExistingHttpConnection = csv("transactions", "/tmp/csv")
+  .validationWait(waitCondition().webhook("my_http", "http://localhost:8080/finished"));  //use connection configuration from existing 'my_http' connection definition
+
+
+
+
val csvTxns = csv("transactions", "/tmp/csv")
+  .validationWait(waitCondition.webhook("http://localhost:8080/finished"))  //by default, GET request successful when 200 status code
+
+//or
+
+val csvTxnsWithStatusCodes = csv("transactions", "/tmp/csv")
+  .validationWait(waitCondition.webhook("http://localhost:8080/finished", "GET", 200, 202)) //successful if 200 or 202 status code
+
+//or
+
+val csvTxnsWithExistingHttpConnection = csv("transactions", "/tmp/csv")
+  .validationWait(waitCondition.webhook("my_http", "http://localhost:8080/finished")) //use connection configuration from existing 'my_http' connection definition
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  transactions:
+    options:
+      path: "/tmp/csv"
+    waitCondition:
+      url: "http://localhost:8080/finished" #by default, GET request successful when 200 status code
+
+#or
+
+---
+name: "account_checks"
+dataSources:
+  transactions:
+    options:
+      path: "/tmp/csv"
+    waitCondition:
+      url: "http://localhost:8080/finished"
+      method: "GET"
+      statusCodes: [200, 202] #successful if 200 or 202 status code
+
+#or
+
+---
+name: "account_checks"
+dataSources:
+  transactions:
+    options:
+      path: "/tmp/csv"
+    waitCondition:
+      dataSourceName: "my_http" #use connection configuration from existing 'my_http' connection definition
+      url: "http://localhost:8080/finished"
+
+
+
+
+

File exists

+
+
+
+
var csvTxns = csv("transactions", "/tmp/csv")
+  .validationWait(waitCondition().file("/tmp/json"));
+
+
+
+
val csvTxns = csv("transactions", "/tmp/csv")
+  .validationWait(waitCondition.file("/tmp/json"))
+
+
+
+
---
+name: "account_checks"
+dataSources:
+  transactions:
+    options:
+      path: "/tmp/csv"
+    waitCondition:
+      path: "/tmp/json"
+
+
+
+
+

Report

+

Once run, it will produce a report like this.

+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/setup/validation/upstream-data-source-validation/index.html b/setup/validation/upstream-data-source-validation/index.html new file mode 100644 index 00000000..135a1e32 --- /dev/null +++ b/setup/validation/upstream-data-source-validation/index.html @@ -0,0 +1,3499 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Upstream Data Source Validations - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + +
+ + +
+ +
+ + + + + + + + + +
+
+ + + +
+
+
+ + + + + + + + + +
+
+
+ + + + +
+ + + + + + + + + + + +
+ + + + + + + + +

Upstream Data Source Validation

+

If you want to run data validations based on data generated or data from another data source, you can use the upstream +data source validations. An example would be generating a Parquet file that gets ingested by a job and inserted into +Postgres. The validations can then check for each account_id generated in the Parquet, it exists in account_number +column in Postgres. The validations can be chained with basic and group by validations or even other upstream data +sources, to cover any complex validations.

+

Generate and validate flow with upstream validations

+

Validation report

+

Pre-filter

+

If you want to only run the validation on a specific subset of data, you can define pre-filter conditions. Find more +details here.

+

Basic join

+

Join across datasets by particular columns. Then run validations on the joined dataset. You will notice that the data +source name is appended onto the column names when joined (i.e. my_first_json_customer_details), to ensure column +names do not clash and make it obvious which columns are being validated.

+

In the below example, we check that the for the same account_id, then customer_details.name in the my_first_json +dataset should equal to the name column in the my_second_json.

+
+
+
+
var firstJsonTask = json("my_first_json", "/tmp/data/first_json")
+  .schema(
+    field().name("account_id").regex("ACC[0-9]{8}"),
+    field().name("customer_details")
+      .schema(
+        field().name("name").expression("#{Name.name}")
+      )
+  );
+
+var secondJsonTask = json("my_second_json", "/tmp/data/second_json")
+  .validations(
+    validation().upstreamData(firstJsonTask)                   //upstream data generation task is `firstJsonTask`
+      .joinColumns("account_id")                               //use `account_id` column in both datasets to join corresponding records (outer join by default)
+      .withValidation(
+        validation().col("my_first_json_customer_details.name")
+          .isEqualCol("name")                                  //validate the name in `my_second_json` is equal to `customer_details.name` in `my_first_json` when the `account_id` matches
+      )
+  );
+
+
+
+
val firstJsonTask = json("my_first_json", "/tmp/data/first_json")
+  .schema(
+    field.name("account_id").regex("ACC[0-9]{8}"),
+    field.name("customer_details")
+      .schema(
+        field.name("name").expression("#{Name.name}")
+      )
+  )
+
+val secondJsonTask = json("my_second_json", "/tmp/data/second_json")
+  .validations(
+    validation.upstreamData(firstJsonTask)                   //upstream data generation task is `firstJsonTask`
+      .joinColumns("account_id")                             //use `account_id` column in both datasets to join corresponding records (outer join by default)
+      .withValidation(
+        validation.col("my_first_json_customer_details.name")
+          .isEqualCol("name")                                //validate the name in `my_second_json` is equal to `customer_details.name` in `my_first_json` when the `account_id` matches
+      )
+  )
+
+
+
+
+

Join expression

+

Define join expression to link two datasets together. This can be any SQL expression that returns a boolean value. +Useful in situations where join is based on transformations or complex logic.

+

In the below example, we have to use CONCAT SQL function to combine 'ACC' and account_number to join with +account_id column in my_first_json dataset.

+
+
+
+
var firstJsonTask = json("my_first_json", "/tmp/data/first_json")
+  .schema(
+    field().name("account_id").regex("ACC[0-9]{8}"),
+    field().name("customer_details")
+      .schema(
+        field().name("name").expression("#{Name.name}")
+      )
+  );
+
+var secondJsonTask = json("my_second_json", "/tmp/data/second_json")
+  .validations(
+    validation().upstreamData(firstJsonTask)
+      .joinExpr("my_first_json_account_id == CONCAT('ACC', account_number)")  //generic SQL expression that returns a boolean
+      .withValidation(
+        validation().col("my_first_json_customer_details.name")
+          .isEqualCol("name")
+      )
+  );
+
+
+
+
val firstJsonTask = json("my_first_json", "/tmp/data/first_json")
+  .schema(
+    field.name("account_id").regex("ACC[0-9]{8}"),
+    field.name("customer_details")
+      .schema(
+        field.name("name").expression("#{Name.name}")
+      )
+  )
+
+val secondJsonTask = json("my_second_json", "/tmp/data/second_json")
+  .validations(
+    validation.upstreamData(firstJsonTask)
+      .joinExpr("my_first_json_account_id == CONCAT('ACC', account_number)")  //generic SQL expression that returns a boolean
+      .withValidation(
+        validation.col("my_first_json_customer_details.name")
+          .isEqualCol("name")
+      )
+  )
+
+
+
+
+

Different join type

+

By default, an outer join is used to gather columns from both datasets together for validation. But there may be +scenarios where you want to control the join type.

+

Possible join types include:

+
    +
  • inner
  • +
  • outer, full, fullouter, full_outer
  • +
  • leftouter, left, left_outer
  • +
  • rightouter, right, right_outer
  • +
  • leftsemi, left_semi, semi
  • +
  • leftanti, left_anti, anti
  • +
  • cross
  • +
+

In the example below, we do an anti join by column account_id and check if there are no records. This essentially +checks that all account_id's from my_second_json exist in my_first_json. The second validation also does something +similar but does an outer join (by default) and checks that the joined dataset has 30 records.

+
+
+
+
var firstJsonTask = json("my_first_json", "/tmp/data/first_json")
+  .schema(
+    field().name("account_id").regex("ACC[0-9]{8}"),
+    field().name("customer_details")
+      .schema(
+        field().name("name").expression("#{Name.name}")
+      )
+  );
+
+var secondJsonTask = json("my_second_json", "/tmp/data/second_json")
+  .validations(
+    validation().upstreamData(firstJsonTask)
+      .joinColumns("account_id")
+      .joinType("anti")
+      .withValidation(validation().count().isEqual(0)),
+    validation().upstreamData(firstJsonTask)
+      .joinColumns("account_id")
+      .withValidation(validation().count().isEqual(30))
+  );
+
+
+
+
val firstJsonTask = json("my_first_json", "/tmp/data/first_json")
+  .schema(
+    field.name("account_id").regex("ACC[0-9]{8}"),
+    field.name("customer_details")
+      .schema(
+        field.name("name").expression("#{Name.name}")
+      )
+  )
+
+val secondJsonTask = json("my_second_json", "/tmp/data/second_json")
+  .validations(
+    validation.upstreamData(firstJsonTask)
+      .joinColumns("account_id")
+      .joinType("anti")
+      .withValidation(validation.count().isEqual(0)),
+    validation.upstreamData(firstJsonTask)
+      .joinColumns("account_id")
+      .withValidation(validation.count().isEqual(30))
+  )
+
+
+
+
+

Join then group by validation

+

We can apply aggregate or group by validations to the resulting joined dataset as the withValidation method accepts +any type of validation.

+

Here we group by account_id, my_first_json_balance to check that when the amount field is summed up per group, it is +between 0.8 and 1.2 times the balance.

+
+
+
+
var firstJsonTask = json("my_first_json", "/tmp/data/first_json")
+  .schema(
+    field().name("account_id").regex("ACC[0-9]{8}"),
+    field().name("balance").type(DoubleType.instance()).min(10).max(1000),
+    field().name("customer_details")
+      .schema(
+        field().name("name").expression("#{Name.name}")
+      )
+  );
+
+var secondJsonTask = json("my_second_json", "/tmp/data/second_json")
+  .validations(
+    validation().upstreamData(firstJsonTask).joinColumns("account_id")
+      .withValidation(
+        validation().groupBy("account_id", "my_first_json_balance")
+          .sum("amount")
+          .betweenCol("my_first_json_balance * 0.8", "my_first_json_balance * 1.2")
+      )
+  );
+
+
+
+
val firstJsonTask = json("my_first_json", "/tmp/data/first_json")
+  .schema(
+    field.name("account_id").regex("ACC[0-9]{8}"),
+    field.name("balance").`type`(DoubleType).min(10).max(1000),
+    field.name("customer_details")
+      .schema(
+        field.name("name").expression("#{Name.name}")
+      )
+  )
+
+val secondJsonTask = json("my_second_json", "/tmp/data/second_json")
+  .validations(
+    validation.upstreamData(firstJsonTask).joinColumns("account_id")
+      .withValidation(
+        validation.groupBy("account_id", "my_first_json_balance")
+          .sum("amount")
+          .betweenCol("my_first_json_balance * 0.8", "my_first_json_balance * 1.2")
+      )
+  )
+
+
+
+
+

Chained validations

+

Given that the withValidation method accepts any other type of validation, you can chain other upstream data sources +with it. Here we will show a third upstream data source being checked to ensure 30 records exists after joining them +together by account_id.

+
+
+
+
var firstJsonTask = json("my_first_json", "/tmp/data/first_json")
+  .schema(
+    field().name("account_id").regex("ACC[0-9]{8}"),
+    field().name("balance").type(DoubleType.instance()).min(10).max(1000),
+    field().name("customer_details")
+      .schema(
+        field().name("name").expression("#{Name.name}")
+      )
+  )
+  .count(count().records(10));
+
+var thirdJsonTask = json("my_third_json", "/tmp/data/third_json")
+  .schema(
+    field().name("account_id"),
+    field().name("amount").type(IntegerType.instance()).min(1).max(100),
+    field().name("name").expression("#{Name.name}")
+  )
+  .count(count().records(10));
+
+var secondJsonTask = json("my_second_json", "/tmp/data/second_json")
+  .validations(
+    validation().upstreamData(firstJsonTask)
+      .joinColumns("account_id")
+      .withValidation(
+        validation().upstreamData(thirdJsonTask)
+          .joinColumns("account_id")
+          .withValidation(validation().count().isEqual(30))
+      )
+  );
+
+
+
+
val firstJsonTask = json("my_first_json", "/tmp/data/first_json")
+  .schema(
+    field.name("account_id").regex("ACC[0-9]{8}"),
+    field.name("balance").`type`(DoubleType).min(10).max(1000),
+    field.name("customer_details")
+      .schema(
+        field.name("name").expression("#{Name.name}")
+      )
+  )
+  .count(count.records(10))
+
+val thirdJsonTask = json("my_third_json", "/tmp/data/third_json")
+  .schema(
+    field.name("account_id"),
+    field.name("amount").`type`(IntegerType).min(1).max(100),
+    field.name("name").expression("#{Name.name}"),
+  )
+  .count(count.records(10))
+
+val secondJsonTask = json("my_second_json", "/tmp/data/second_json")
+  .validations(
+    validation.upstreamData(firstJsonTask).joinColumns("account_id")
+      .withValidation(
+        validation.groupBy("account_id", "my_first_json_balance")
+          .sum("amount")
+          .betweenCol("my_first_json_balance * 0.8", "my_first_json_balance * 1.2")
+      ),
+  )
+
+
+
+
+

Can check out a full example here for more details.

+ + + + + + + + + + + + + + + + + + +
+
+ + + + + +
+ + + +
+ + + +
+
+
+
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Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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Pricing

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To have access to all the features of Data Caterer, you can subscribe according to your situation. You will not be +charged by usage. As you continue to subscribe, you will have access to the latest version of Data Caterer as new +bug fixes and features get published. You will also get priority on any feature requests.

+

Those who are wanting to use this project for open source applications, please contact me as I would be +happy to contribute.

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Features

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Tiers

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Manage Subscription

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Manage via this link

+

Contact

+

Please contact Peter Flook +via Slack +or via email peter.flook@data.catering if you have any questions or queries.

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Shifting Data Quality Left with Data Catering

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Empowering Proactive Data Management

+

In the ever-evolving landscape of data-driven decision-making, ensuring data quality is non-negotiable. Traditionally, +data quality has been a concern addressed late in the development lifecycle, often leading to reactive measures and +increased costs. However, a paradigm shift is underway with the adoption of a "shift left" approach, placing data +quality at the forefront of the development process.

+

Today

+
graph LR
+  subgraph badQualityData[<b>Manually generated data, limited data scenarios, fragmented testing tools</b>]
+  local[<b>Local</b>\nManual test, unit test]
+  dev[<b>Dev</b>\nManual test, integration test]
+  stg[<b>Staging</b>\nSanity checks]
+  end
+
+  subgraph qualityData[<b>Reliable data, the true test</b>]
+  prod[<b>Production</b>\nData quality checks, monitoring, observaibility]
+  end
+
+  style badQualityData fill:#d9534f,fill-opacity:0.7
+  style qualityData fill:#5cb85c,fill-opacity:0.7
+
+  local --> dev
+  dev --> stg
+  stg --> prod
+

With Data Caterer

+
graph LR
+  subgraph qualityData[<b>Reliable data anywhere, common testing tool across all data sources</b>]
+  direction LR
+  local[<b>Local</b>\nManual test, unit test]
+  dev[<b>Dev</b>\nManual test, integration test]
+  stg[<b>Staging</b>\nSanity checks]
+  prod[<b>Production</b>\nData quality checks, monitoring, observaibility]
+  end
+
+  style qualityData fill:#5cb85c,fill-opacity:0.7
+
+  local --> dev
+  dev --> stg
+  stg --> prod
+

Understanding the Shift Left Approach

+

"Shift left" is a philosophy that advocates for addressing tasks and concerns earlier in the development lifecycle. +Applied to data quality, it means tackling data issues as early as possible, ideally during the development and testing +phases. This approach aims to catch data anomalies, inaccuracies, or inconsistencies before they propagate through the +system, reducing the likelihood of downstream errors.

+

Data Caterer: The Catalyst for Shifting Left

+

Enter Data Caterer, a metadata-driven data generation and validation tool designed to empower organizations in shifting +data quality left. By incorporating Data Caterer into the early stages of development, teams can proactively test +complex data flows, validate data sources, and ensure data quality before it reaches downstream processes.

+

Key Advantages of Shifting Data Quality Left with Data Caterer

+

Data Caterer generate and validate data flows

+
    +
  1. Early Issue Detection
      +
    • Identify data quality issues early in the development process, reducing the risk of errors downstream.
    • +
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  2. +
  3. Proactive Validation
      +
    • Create production-like data scenarios, validate sources and complex flows with simplicity, promoting proactive + data quality.
    • +
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  5. Efficient Testing Across Sources
      +
    • Seamlessly test data across various sources, including databases, file formats, HTTP, and messaging, all within + your local laptop or development environment.
    • +
    • Fast feedback loop to motivate developers to ensure thorough testing of data consumers.
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  6. +
  7. Integration with Development Pipelines
      +
    • Easily integrate Data Caterer as a task in your development pipelines, ensuring that data quality is a continuous + consideration rather than an isolated event.
    • +
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  8. +
  9. Integration with Existing Metadata
      +
    • By harnessing the power of existing metadata from data catalogs, schema registries, or other data validation tools, + Data Caterer streamlines the process, automating the generation and validation of your data effortlessly.
    • +
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  10. +
  11. Improved Collaboration
      +
    • Facilitate collaboration between developers, testers, and data professionals by providing a common platform for + early data validation.
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Realizing the Vision of Proactive Data Quality

+

As organizations strive for excellence in their data-driven endeavors, the shift left approach with Data Caterer +becomes a strategic imperative. By instilling a proactive data quality culture, teams can minimize the risk of costly +errors, enhance the reliability of their data, and streamline the entire development lifecycle.

+

In conclusion, the marriage of the shift left philosophy and Data Caterer brings forth a new era of data management, +where data quality is not just a final checkpoint but an integral part of every development milestone. Embrace the shift +left approach with Data Caterer and empower your teams to build robust, high-quality data solutions from the very +beginning.

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Shift Left, Validate Early, and Accelerate with Data Caterer.

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Business Value

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Below is a list of the business related benefits from using Data Caterer which may be applicable for your use case.

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ProblemData Caterer SolutionResourcesEffects
Reliable test data creation- Profile existing data
- Create scenarios
- Generate data
Software Engineers, QA, TestersCost reduction in labor, more time spent on development, more bugs caught before production
Faster development cycles- Generate data in local, test, UAT, pre-prod
- Run different scenarios
Software Engineers, QA, TestersMore defects caught in lower environments, features pushed to production faster, common framework used across all environments
Data compliance- Profiling existing data
- Generate based on metadata
- No complex masking
- No production data used in lower environments
Audit and complianceNo chance for production data breaches
Storage costs- Delete generated data
- Test specific scenarios
InfrastructureLower data storage costs, less time spent on data management and clean up
Schema evolution- Create metadata from data sources
- Generate data based off fresh metadata
Software Engineers, QA, TestersLess time spent altering tests due to schema changes, ease of use between environments and application versions
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+ + + + + + + + + + + + + + + \ No newline at end of file diff --git a/use-case/comparison/index.html b/use-case/comparison/index.html new file mode 100644 index 00000000..11f778a7 --- /dev/null +++ b/use-case/comparison/index.html @@ -0,0 +1,3274 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Data generation and validation tool comparison - Data Catering + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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Comparison to similar tools

+

I have tried to include all the companies found in the list +here from Mostly AI blog post and used information that is publicly +available.

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The companies/products not shown below either have:

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  • a website with insufficient information about the technology side of data generation/validation
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  • no/little documentation
  • +
  • don't have a free, no sign-up version of their app to use
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Data Generation

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ToolDescriptionCostProsCons
Data CateringScala based data generation and validation tool via metadataCheck all prices here, all in AUD
$15 per month individual
$200 per month <100 employees
$500 per month 100-1,000 employees
$2,000 per month >1,000 employees
✅ Data generation and validation
✅ Batch and event generation
✅ Maintain referential integrity
✅ Scala/Java SDK
✅ Customisable scenarios and validations
✅ Open core
✅ Metadata driven
✅ Report generation
✅ Use validation rules from existing tools
✅ Data clean up
No UI
No load testing metrics
No alerting
No validation of real time data sources
Clearbox AIPython based data generation tool via MLUnclear✅ Python SDK
✅ UI interface
✅ Detect private data
✅ Report generation
Batch data only
No data clean up
Limited/no documentation
Curiosity SoftwarePlatform solution for test data managementUnclear✅ Extensive documentation
✅ Generate data based off test cases
✅ UI interface
✅ Web/API/UI/mobile testing
No quick start
No SDK
Many components that may not be required
No event generation support
DataCebo Synthetic Data VaultPython based data generation tool via MLUnclear✅ Python SDK
✅ Report generation
✅ Data quality checks
✅ Business logic constraints
No data connection support
No data clean up
No foreign key support
DatafakerRealistic data generation libraryFree✅ SDK for many languages
✅ Simple, easy to use
✅ Extensible
✅ Open source
✅ Generate realistic values
No data connection support
No data clean up
No validation
No foreign key support
DBLDatagenPython based data generation toolFree✅ Python SDK
✅ Open source
✅ Good documentation
✅ Customisable scenarios
✅ Customisable column generation
✅ Generate from existing data/schemas
✅ Plugin third-party libraries
Limited support if issues
Code required
No data clean up
No data validation
GatlingHTTP API load testing toolFree (Open Source)
Gatling Enterprise, usage based, starts from €89 per month, 1 user, 6.25 hours of testing
✅ Kotlin, Java & Scala SDK
✅ Widely used
✅ Open source
✅ Clear documentation
✅ Extensive testing/validation support
✅ Customisable scenarios
✅ Report generation
Only supports HTTP, JMS and JDBC
No data clean up
Data feeders not based off metadata
GretelPython based data generation tool via MLUsage based, starts from $295 per month, $2.20 per credit, assumed USD✅ CLI & Python SDK
✅ UI interface
✅ Training and re-use of models
✅ Detect private data
✅ Customisable scenarios
Batch data only
No relationships between data sources
Only simple foreign key relations defined
No data clean up
Charge by usage
HowsoPython based data generation tool via MLUnclear✅ Python SDK
✅ Playground to try
✅ Open source library
✅ Customisable scenarios
No support for data sources
No data validation
No data clean up
Mostly AIPython based data generation tool via MLUsage based, Enterprise 1 user, 100 columns, 100K rows $3,100 per month, assumed USD✅ Report generation
✅ Non-technical users can use UI
✅ Customisable scenarios
Charge by usage
Batch data only
No data clean up
Confusing use of 'smart select' for multiple foreign keys
Limited custom column generation logic
Multiple deployment components
No SDK
OctopizePython based data generation tool via MLUnclear✅ Python & R SDK
✅ Report generation
✅ API for metadata
✅ Customisable scenarios
Input data source is only CSV
Multiple manual steps before starting
Quickstart is not a quickstart
Documentation lacks code examples
SynthesizedPython based data generation tool via MLUnclear✅ CLI & Python SDK
✅ API for metadata
✅ IDE setup
✅ Data quality checks
Not sure what is SDK & TDK
Charge by usage
No report of what was generated
No relationships between data sources
TonicPlatform solution for generating dataUnclear✅ UI interface
✅ Good documentation
✅ Detect private data
✅ Support for encrypted columns
✅ Report generation
✅ Alerting
Batch data only
Multiple deployment components
No relationships between data sources
No data validation
No data clean up
No SDK (only API)
Difficult to embed complex business logic
YDataPython based data generation tool via ML. Platform solution as wellUnclear✅ Python SDK
✅ Open source
✅ Detect private data
✅ Compare datasets
✅ Report generation
No data connection support
Batch data only
No data clean up
Separate data generation and data validation
No foreign key support
+

Use of ML models

+

You may notice that the majority of data generators use machine learning (ML) models to learn from your existing +datasets to generate new data. Below are some pros and cons to the approach.

+

Pros

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  • Simple setup
  • +
  • Ability to reproduce complex logic
  • +
  • Flexible to accept all types of data
  • +
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Cons

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  • Long time for model learning
  • +
  • Black box of logic
  • +
  • Maintain, store and update of ML models
  • +
  • Restriction on input data lengths
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  • May not maintain referential integrity
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  • Require deeper understanding of ML models for fine-tuning
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  • Accuracy may be worse than non-ML models
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Use cases

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Replicate production in lower environment

+

Having a stable and reliable test environment is a challenge for a number of companies, especially where teams are +asynchronously deploying and testing changes at faster rates. Data Caterer can help alleviate these issues by doing +the following:

+
    +
  1. Generates data with the latest schema changes and production like field values
  2. +
  3. Run as a job on a daily/regular basis to replicate production traffic or data flows
  4. +
  5. Validate data to ensure your system runs as expected
  6. +
  7. Clean up data to avoid build up of generated data
  8. +
+

Replicate production flow

+

Local development

+

Similar to the above, being able to replicate production like data in your local environment can be key to developing +more reliable code as you can test directly against data in your local computer. This has a number of benefits +including:

+
    +
  1. Fewer assumptions or ambiguities when the developer codes
  2. +
  3. Direct feedback loop in local computer rather than waiting for test environment for more reliable test data
  4. +
  5. No domain expertise required to understand the data
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System/integration testing

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When working with third-party, external or internal data providers, it can be difficult to have all setup ready to +produce reliable data that abides by relationship contracts between each of the systems. You have to rely on these data +providers in order for you to run your tests which may not align to their priorities. With Data Caterer, you can +generate the same data that they would produce, along with maintaining referential integrity across the data providers, +so that you can run your tests without relying on their systems being up and reliable in their corresponding +lower environments.

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Scenario testing

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If you want to set up particular data scenarios, you can customise the generated data to fit your scenario. Once the +data gets generated and is consumed, you can also run validations to ensure your system has consumed the data correctly. +These scenarios can be put together from existing tasks or data sources can be enabled/disabled based on your +requirement. Built into Data Caterer and controlled via feature flags, is the ability to test edge cases based on the +data type of the fields used for data generation (enableEdgeCases flag within <field>.generator.options, see more +here).

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Data debugging

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When data related issues occur in production, it may be difficult to replicate in a lower or local environment. It could +be related to specific fields not containing expected results, size of data is too large or missing corresponding +referenced data. This becomes key to resolving the issue as you can directly code against the exact data scenario and +have confidence that your code changes will fix the problem. Data Caterer can be used to generate the appropriate data +in whichever environment you want to test your changes against.

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Data profiling

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When using Data Caterer with the feature flag enableGeneratePlanAndTasks enabled +(see here), metadata relating all the fields defined in the data sources you have +configured will be generated via data profiling. You can run this as a standalone job (can disable enableGenerateData) +so that you can focus on the profile of the data you are utilising. This can be run against your production data sources +to ensure the metadata can be used to accurately generate data in other environments. This is a key feature of Data +Caterer as no direct production connections need to be maintained to generate data in other environments (which can +lead to serious concerns about data security as seen here).

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Schema gathering

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When using Data Caterer with the feature flag enableGeneratePlanAndTasks enabled +(see here), all schemas of the data sources defined will be tracked in a common format (as +tasks). This data, along with the data profiling metadata, could then feed back into your schema registries to help keep +them up to date with your system.

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Roadmap

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Items below summarise the roadmap of Data Caterer. As each task gets completed, it will be documented and linked.

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FeatureDescriptionSub Tasks
Data source supportBatch or real time data sources that can be added to Data Caterer. Support data sources that users want- AWS, GCP and Azure related data services (✅ cloud storage)
- ✅ Delta Lake
- ✅ Iceberg
- RabbitMQ
- ActiveMQ
- MongoDB
- Elasticsearch
- Snowflake
- Databricks
- Pulsar
Metadata discoveryAllow for schema and data profiling from external metadata sources- ✅ HTTP (OpenAPI spec)
- JMS
- Read from samples
- ✅ OpenLineage metadata (Marquez)
- ✅ OpenMetadata
- ODCS (Open Data Contract Standard)
- Amundsen
- Datahub
- Solace Event Portal
- Airflow
- DBT
- Manually insert create table statement from UI
Developer APIScala/Java interface for developers/testers to create data generation and validation tasks- ✅ Scala
- ✅ Java
Report generationGenerate a report that summarises the data generation or validation results- ✅ Report for data generated and validation rules
UI portalAllow users to access a UI to input data generation or validation tasks. Also be able to view report results- ✅ Base UI with create, edit and delete plan, connections and history
- ✅ Run on Mac, Linux and Windows
- Metadata stored in database
- ✅ Store data generation/validation run information in file/database
- Preview of generated data
- Additional dialog to confirm delete and execute plan
Integration with data validation toolsDerive data validation rules from existing data validation tools- ✅ Great Expectation
- DBT constraints
- SodaCL
- MonteCarlo
- ✅ OpenMetadata
Data validation rule suggestionsBased on metadata, generate data validation rules appropriate for the dataset- ✅ Suggest basic data validations (yet to document)
Wait conditions before data validationDefine certain conditions to be met before starting data validations- ✅ Webhook
- ✅ File exists
- ✅ Data exists via SQL expression
- ✅ Pause
Validation typesAbility to define simple/complex data validations- ✅ Basic validations
- ✅ Aggregates (sum of amount per account is > 500)
- Ordering (transactions are ordered by date)
- ✅ Relationship (at least one account entry in history table per account in accounts table)
- Data profile (how close the generated data profile is compared to the expected data profile)
- ✅ Column name (check column count, column names, ordering)
- ✅ Pre-conditions before validating data
Data generation record countGenerate scenarios where there are one to many, many to many situations relating to record count. Also ability to cover all edge cases or scenarios- Cover all possible cases (i.e. record for each combination of oneOf values, positive/negative values, pairwise etc.)
- Ability to override edge cases
AlertingWhen tasks have completed, ability to define alerts based on certain conditions- ✅ Slack
- Email
Metadata enhancementsBased on data profiling or inference, can add to existing metadata- PII detection (can integrate with Presidio)
- Relationship detection across data sources
- SQL generation
- Ordering information
Data cleanupAbility to clean up generated data- ✅ Clean up generated data
- ✅ Clean up data in consumer data sinks
- Clean up data from real time sources (i.e. DELETE HTTP endpoint, delete events in JMS)
Trial versionTrial version of the full app for users to test out all the features- ✅ Trial app to try out all features
Code generationBased on metadata or existing classes, code for data generation and validation could be generated- Code generation
- Schema generation from Scala/Java class
Real time response data validationsAbility to define data validations based on the response from real time data sources (e.g. HTTP response)- HTTP response data validation
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