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b/_images/examples_09_Context_Diagrams_8_0.png new file mode 100644 index 000000000..23012d7a4 Binary files /dev/null and b/_images/examples_09_Context_Diagrams_8_0.png differ diff --git a/_images/examples_10_Declarative_Modeling_12_0.png b/_images/examples_10_Declarative_Modeling_12_0.png new file mode 100644 index 000000000..123b8c9c0 Binary files /dev/null and b/_images/examples_10_Declarative_Modeling_12_0.png differ diff --git a/_images/examples_11_Complexity_Assessment_2_1.svg b/_images/examples_11_Complexity_Assessment_2_1.svg new file mode 100644 index 000000000..27079911d --- /dev/null +++ b/_images/examples_11_Complexity_Assessment_2_1.svg @@ -0,0 +1,39 @@ + + + +180 +objects + + +31% + +16% + +27% + +27% + +18 +diagrams + + +39% + +22% + +28% + +11% + + + +Operational Analysis + +System Analysis + +Logical Architecture + +Physical Architecture + + + \ No newline at end of file diff --git a/_images/harrys_wand.png b/_images/harrys_wand.png new file mode 100644 index 000000000..effece64b Binary files /dev/null and b/_images/harrys_wand.png differ diff --git a/_images/waypoints.png b/_images/waypoints.png new file mode 100644 index 000000000..fd021c986 Binary files /dev/null and b/_images/waypoints.png differ diff --git a/_sources/code/capellambse.aird.rst.txt b/_sources/code/capellambse.aird.rst.txt new file mode 100644 index 000000000..36d1aa945 --- /dev/null +++ b/_sources/code/capellambse.aird.rst.txt @@ -0,0 +1,18 @@ +capellambse.aird package +======================== + +.. automodule:: capellambse.aird + :members: + :undoc-members: + :show-inheritance: + +Submodules +---------- + +capellambse.aird.diagram module +------------------------------- + +.. automodule:: capellambse.aird.diagram + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/code/capellambse.diagram.rst.txt b/_sources/code/capellambse.diagram.rst.txt new file mode 100644 index 000000000..bf6ec497b --- /dev/null +++ b/_sources/code/capellambse.diagram.rst.txt @@ -0,0 +1,18 @@ +capellambse.diagram package +=========================== + +.. automodule:: capellambse.diagram + :members: + :undoc-members: + :show-inheritance: + +Submodules +---------- + +capellambse.diagram.capstyle module +----------------------------------- + +.. automodule:: capellambse.diagram.capstyle + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/code/capellambse.extensions.metrics.rst.txt b/_sources/code/capellambse.extensions.metrics.rst.txt new file mode 100644 index 000000000..a81d6a574 --- /dev/null +++ b/_sources/code/capellambse.extensions.metrics.rst.txt @@ -0,0 +1,26 @@ +capellambse.extensions.metrics package +====================================== + +.. automodule:: capellambse.extensions.metrics + :members: + :undoc-members: + :show-inheritance: + +Submodules +---------- + +capellambse.extensions.metrics.collector module +----------------------------------------------- + +.. automodule:: capellambse.extensions.metrics.collector + :members: + :undoc-members: + :show-inheritance: + +capellambse.extensions.metrics.composer module +---------------------------------------------- + +.. automodule:: capellambse.extensions.metrics.composer + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/code/capellambse.extensions.reqif.rst.txt b/_sources/code/capellambse.extensions.reqif.rst.txt new file mode 100644 index 000000000..0cd2d7236 --- /dev/null +++ b/_sources/code/capellambse.extensions.reqif.rst.txt @@ -0,0 +1,26 @@ +capellambse.extensions.reqif package +==================================== + +.. automodule:: capellambse.extensions.reqif + :members: + :undoc-members: + :show-inheritance: + +Submodules +---------- + +capellambse.extensions.reqif.elements module +-------------------------------------------- + +.. automodule:: capellambse.extensions.reqif.elements + :members: + :undoc-members: + :show-inheritance: + +capellambse.extensions.reqif.exporter module +-------------------------------------------- + +.. automodule:: capellambse.extensions.reqif.exporter + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/code/capellambse.extensions.rst.txt b/_sources/code/capellambse.extensions.rst.txt new file mode 100644 index 000000000..3f574cde4 --- /dev/null +++ b/_sources/code/capellambse.extensions.rst.txt @@ -0,0 +1,35 @@ +capellambse.extensions package +============================== + +.. automodule:: capellambse.extensions + :members: + :undoc-members: + :show-inheritance: + +Subpackages +----------- + +.. toctree:: + :maxdepth: 4 + + capellambse.extensions.metrics + capellambse.extensions.reqif + +Submodules +---------- + +capellambse.extensions.filtering module +--------------------------------------- + +.. automodule:: capellambse.extensions.filtering + :members: + :undoc-members: + :show-inheritance: + +capellambse.extensions.pvmt module +---------------------------------- + +.. automodule:: capellambse.extensions.pvmt + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/code/capellambse.filehandler.rst.txt b/_sources/code/capellambse.filehandler.rst.txt new file mode 100644 index 000000000..4bf8a4e8d --- /dev/null +++ b/_sources/code/capellambse.filehandler.rst.txt @@ -0,0 +1,66 @@ +capellambse.filehandler package +=============================== + +.. automodule:: capellambse.filehandler + :members: + :undoc-members: + :show-inheritance: + +Submodules +---------- + +capellambse.filehandler.abc module +---------------------------------- + +.. automodule:: capellambse.filehandler.abc + :members: + :undoc-members: + :show-inheritance: + +capellambse.filehandler.git module +---------------------------------- + +.. automodule:: capellambse.filehandler.git + :members: + :undoc-members: + :show-inheritance: + +capellambse.filehandler.git\_askpass module +------------------------------------------- + +.. automodule:: capellambse.filehandler.git_askpass + :members: + :undoc-members: + :show-inheritance: + +capellambse.filehandler.gitlab\_artifacts module +------------------------------------------------ + +.. automodule:: capellambse.filehandler.gitlab_artifacts + :members: + :undoc-members: + :show-inheritance: + +capellambse.filehandler.http module +----------------------------------- + +.. automodule:: capellambse.filehandler.http + :members: + :undoc-members: + :show-inheritance: + +capellambse.filehandler.local module +------------------------------------ + +.. automodule:: capellambse.filehandler.local + :members: + :undoc-members: + :show-inheritance: + +capellambse.filehandler.memory module +------------------------------------- + +.. automodule:: capellambse.filehandler.memory + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/code/capellambse.loader.rst.txt b/_sources/code/capellambse.loader.rst.txt new file mode 100644 index 000000000..299b73166 --- /dev/null +++ b/_sources/code/capellambse.loader.rst.txt @@ -0,0 +1,50 @@ +capellambse.loader package +========================== + +.. automodule:: capellambse.loader + :members: + :undoc-members: + :show-inheritance: + +Submodules +---------- + +capellambse.loader.core module +------------------------------ + +.. automodule:: capellambse.loader.core + :members: + :undoc-members: + :show-inheritance: + +capellambse.loader.exs module +----------------------------- + +.. automodule:: capellambse.loader.exs + :members: + :undoc-members: + :show-inheritance: + +capellambse.loader.filehandler module +------------------------------------- + +.. automodule:: capellambse.loader.filehandler + :members: + :undoc-members: + :show-inheritance: + +capellambse.loader.modelinfo module +----------------------------------- + +.. automodule:: capellambse.loader.modelinfo + :members: + :undoc-members: + :show-inheritance: + +capellambse.loader.xmltools module +---------------------------------- + +.. automodule:: capellambse.loader.xmltools + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/code/capellambse.model.common.rst.txt b/_sources/code/capellambse.model.common.rst.txt new file mode 100644 index 000000000..a6f7b8311 --- /dev/null +++ b/_sources/code/capellambse.model.common.rst.txt @@ -0,0 +1,34 @@ +capellambse.model.common package +================================ + +.. automodule:: capellambse.model.common + :members: + :undoc-members: + :show-inheritance: + +Submodules +---------- + +capellambse.model.common.accessors module +----------------------------------------- + +.. automodule:: capellambse.model.common.accessors + :members: + :undoc-members: + :show-inheritance: + +capellambse.model.common.element module +--------------------------------------- + +.. automodule:: capellambse.model.common.element + :members: + :undoc-members: + :show-inheritance: + +capellambse.model.common.properties module +------------------------------------------ + +.. automodule:: capellambse.model.common.properties + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/code/capellambse.model.crosslayer.information.rst.txt b/_sources/code/capellambse.model.crosslayer.information.rst.txt new file mode 100644 index 000000000..30846a88a --- /dev/null +++ b/_sources/code/capellambse.model.crosslayer.information.rst.txt @@ -0,0 +1,26 @@ +capellambse.model.crosslayer.information package +================================================ + +.. automodule:: capellambse.model.crosslayer.information + :members: + :undoc-members: + :show-inheritance: + +Submodules +---------- + +capellambse.model.crosslayer.information.datatype module +-------------------------------------------------------- + +.. automodule:: capellambse.model.crosslayer.information.datatype + :members: + :undoc-members: + :show-inheritance: + +capellambse.model.crosslayer.information.datavalue module +--------------------------------------------------------- + +.. automodule:: capellambse.model.crosslayer.information.datavalue + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/code/capellambse.model.crosslayer.rst.txt b/_sources/code/capellambse.model.crosslayer.rst.txt new file mode 100644 index 000000000..20a2f2367 --- /dev/null +++ b/_sources/code/capellambse.model.crosslayer.rst.txt @@ -0,0 +1,66 @@ +capellambse.model.crosslayer package +==================================== + +.. automodule:: capellambse.model.crosslayer + :members: + :undoc-members: + :show-inheritance: + +Subpackages +----------- + +.. toctree:: + :maxdepth: 4 + + capellambse.model.crosslayer.information + +Submodules +---------- + +capellambse.model.crosslayer.capellacommon module +------------------------------------------------- + +.. automodule:: capellambse.model.crosslayer.capellacommon + :members: + :undoc-members: + :show-inheritance: + +capellambse.model.crosslayer.capellacore module +----------------------------------------------- + +.. automodule:: capellambse.model.crosslayer.capellacore + :members: + :undoc-members: + :show-inheritance: + +capellambse.model.crosslayer.cs module +-------------------------------------- + +.. automodule:: capellambse.model.crosslayer.cs + :members: + :undoc-members: + :show-inheritance: + +capellambse.model.crosslayer.fa module +-------------------------------------- + +.. automodule:: capellambse.model.crosslayer.fa + :members: + :undoc-members: + :show-inheritance: + +capellambse.model.crosslayer.interaction module +----------------------------------------------- + +.. automodule:: capellambse.model.crosslayer.interaction + :members: + :undoc-members: + :show-inheritance: + +capellambse.model.crosslayer.modellingcore module +------------------------------------------------- + +.. automodule:: capellambse.model.crosslayer.modellingcore + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/code/capellambse.model.layers.rst.txt b/_sources/code/capellambse.model.layers.rst.txt new file mode 100644 index 000000000..f07ab131d --- /dev/null +++ b/_sources/code/capellambse.model.layers.rst.txt @@ -0,0 +1,42 @@ +capellambse.model.layers package +================================ + +.. automodule:: capellambse.model.layers + :members: + :undoc-members: + :show-inheritance: + +Submodules +---------- + +capellambse.model.layers.ctx module +----------------------------------- + +.. automodule:: capellambse.model.layers.ctx + :members: + :undoc-members: + :show-inheritance: + +capellambse.model.layers.la module +---------------------------------- + +.. automodule:: capellambse.model.layers.la + :members: + :undoc-members: + :show-inheritance: + +capellambse.model.layers.oa module +---------------------------------- + +.. automodule:: capellambse.model.layers.oa + :members: + :undoc-members: + :show-inheritance: + +capellambse.model.layers.pa module +---------------------------------- + +.. automodule:: capellambse.model.layers.pa + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/code/capellambse.model.rst.txt b/_sources/code/capellambse.model.rst.txt new file mode 100644 index 000000000..ccce537f1 --- /dev/null +++ b/_sources/code/capellambse.model.rst.txt @@ -0,0 +1,36 @@ +capellambse.model package +========================= + +.. automodule:: capellambse.model + :members: + :undoc-members: + :show-inheritance: + +Subpackages +----------- + +.. toctree:: + :maxdepth: 4 + + capellambse.model.common + capellambse.model.crosslayer + capellambse.model.layers + +Submodules +---------- + +capellambse.model.diagram module +-------------------------------- + +.. automodule:: capellambse.model.diagram + :members: + :undoc-members: + :show-inheritance: + +capellambse.model.modeltypes module +----------------------------------- + +.. automodule:: capellambse.model.modeltypes + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/code/capellambse.pvmt.rst.txt b/_sources/code/capellambse.pvmt.rst.txt new file mode 100644 index 000000000..c52cb12f2 --- /dev/null +++ b/_sources/code/capellambse.pvmt.rst.txt @@ -0,0 +1,50 @@ +capellambse.pvmt package +======================== + +.. automodule:: capellambse.pvmt + :members: + :undoc-members: + :show-inheritance: + +Submodules +---------- + +capellambse.pvmt.core module +---------------------------- + +.. automodule:: capellambse.pvmt.core + :members: + :undoc-members: + :show-inheritance: + +capellambse.pvmt.exceptions module +---------------------------------- + +.. automodule:: capellambse.pvmt.exceptions + :members: + :undoc-members: + :show-inheritance: + +capellambse.pvmt.model module +----------------------------- + +.. automodule:: capellambse.pvmt.model + :members: + :undoc-members: + :show-inheritance: + +capellambse.pvmt.types module +----------------------------- + +.. automodule:: capellambse.pvmt.types + :members: + :undoc-members: + :show-inheritance: + +capellambse.pvmt.validation module +---------------------------------- + +.. automodule:: capellambse.pvmt.validation + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/code/capellambse.rst.txt b/_sources/code/capellambse.rst.txt new file mode 100644 index 000000000..83c1eec45 --- /dev/null +++ b/_sources/code/capellambse.rst.txt @@ -0,0 +1,65 @@ +capellambse package +=================== + +.. automodule:: capellambse + :members: + :undoc-members: + :show-inheritance: + +Subpackages +----------- + +.. toctree:: + :maxdepth: 4 + + capellambse.aird + capellambse.diagram + capellambse.extensions + capellambse.filehandler + capellambse.loader + capellambse.model + capellambse.pvmt + capellambse.svg + +Submodules +---------- + +capellambse.auditing module +--------------------------- + +.. automodule:: capellambse.auditing + :members: + :undoc-members: + :show-inheritance: + +capellambse.cli\_helpers module +------------------------------- + +.. automodule:: capellambse.cli_helpers + :members: + :undoc-members: + :show-inheritance: + +capellambse.decl module +----------------------- + +.. automodule:: capellambse.decl + :members: + :undoc-members: + :show-inheritance: + +capellambse.diagram\_cache module +--------------------------------- + +.. automodule:: capellambse.diagram_cache + :members: + :undoc-members: + :show-inheritance: + +capellambse.helpers module +-------------------------- + +.. automodule:: capellambse.helpers + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/code/capellambse.svg.rst.txt b/_sources/code/capellambse.svg.rst.txt new file mode 100644 index 000000000..e8e2069f9 --- /dev/null +++ b/_sources/code/capellambse.svg.rst.txt @@ -0,0 +1,58 @@ +capellambse.svg package +======================= + +.. automodule:: capellambse.svg + :members: + :undoc-members: + :show-inheritance: + +Submodules +---------- + +capellambse.svg.decorations module +---------------------------------- + +.. automodule:: capellambse.svg.decorations + :members: + :undoc-members: + :show-inheritance: + +capellambse.svg.drawing module +------------------------------ + +.. automodule:: capellambse.svg.drawing + :members: + :undoc-members: + :show-inheritance: + +capellambse.svg.generate module +------------------------------- + +.. automodule:: capellambse.svg.generate + :members: + :undoc-members: + :show-inheritance: + +capellambse.svg.helpers module +------------------------------ + +.. automodule:: capellambse.svg.helpers + :members: + :undoc-members: + :show-inheritance: + +capellambse.svg.style module +---------------------------- + +.. automodule:: capellambse.svg.style + :members: + :undoc-members: + :show-inheritance: + +capellambse.svg.symbols module +------------------------------ + +.. automodule:: capellambse.svg.symbols + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/code/modules.rst.txt b/_sources/code/modules.rst.txt new file mode 100644 index 000000000..34442a353 --- /dev/null +++ b/_sources/code/modules.rst.txt @@ -0,0 +1,7 @@ +py-capellambse +============== + +.. toctree:: + :maxdepth: 4 + + capellambse diff --git a/_sources/development/developing-docs.rst.txt b/_sources/development/developing-docs.rst.txt new file mode 100644 index 000000000..23412e95e --- /dev/null +++ b/_sources/development/developing-docs.rst.txt @@ -0,0 +1,23 @@ +.. + SPDX-FileCopyrightText: Copyright DB Netz AG and the capellambse contributors + SPDX-License-Identifier: Apache-2.0 + +************************* +Documentation development +************************* + +The following command deletes previous built documentation and derives +docs out of code: + +.. code:: bash + + make -C docs apidoc + +The following command builds the docs: + +.. code:: bash + + make -C docs html + +The resulting documentation build should be available in `docs/build/html`, +entry point is `index.html` diff --git a/_sources/development/how-to-explore-capella-mm.rst.txt b/_sources/development/how-to-explore-capella-mm.rst.txt new file mode 100644 index 000000000..73ce1fdfc --- /dev/null +++ b/_sources/development/how-to-explore-capella-mm.rst.txt @@ -0,0 +1,225 @@ +.. + SPDX-FileCopyrightText: Copyright DB Netz AG and the capellambse contributors + SPDX-License-Identifier: Apache-2.0 + +********************************* +How to explore Capella meta-model +********************************* + +Initially the API design was mostly based on our understanding of XML files, +however we soon moved on into exploring the Capella meta-model. Here is a short +summary of how we do it. + +Getting the meta-model sources +############################## + +First of all we need to get the data - the most straight-forward way is to +clone the Capella source code: + +.. code-block:: bash + + mkdir capella-mm && cd capella-mm + git clone https://github.com/eclipse/capella.git + +As there are quite a few files we may want to discover the packages of interest +using ``find``: + +- ``find -name '*.ecore' -o -name '*.genmodel'`` lists all the ECore models and + Generation files and adds Generation viewpoint for related ecore +- ``find -name '*.odesign'`` lists all the Sirius definitions (if you like to + see how the diagram look-and-feel is defined) + +You could open all the related projects right where they are but I'd prefer to +have a clean sandbox. + +.. code-block:: bash + + mkdir capella-metamodel + cp -r capella/common/plugins/org.polarsys.capella.common.data.activity.gen capella-metamodel + cp -r capella/common/plugins/org.polarsys.capella.common.data.behavior.gen capella-metamodel + cp -r capella/common/plugins/org.polarsys.capella.common.data.core.gen capella-metamodel + cp -r capella/common/plugins/org.polarsys.capella.common.libraries.gen capella-metamodel + cp -r capella/common/plugins/org.polarsys.capella.common.re.gen capella-metamodel + cp -r capella/core/plugins/org.polarsys.capella.core.data.gen capella-metamodel + cp -r capella/releng/cdo/plugins/org.polarsys.kitalpha.emde.model.cdo capella-metamodel + cp -r capella/tests/plugins/org.polarsys.capella.test.diagram.layout.ju capella-metamodel + +Now we have all of the meta-model dependencies in one place and can open it as +a single Eclipse project. You could open those with any Eclipse that has EMF +(like the Modeling bundle) but I'd advise using `Capella Studio`__ (open the +link and search for "Studio") for the best experience - it is provisioned with +all the extras that help you visualize / review the meta-model. + +__ https://www.eclipse.org/capella/download.html + +.. image:: ../_static/img/2021-05-09_10-32.jpg +.. image:: ../_static/img/2021-05-09_10-36.jpg + +After import Eclipse may highlight some projects with error or warning sign - +that's fine, we'll let it go for now. + +Before we dive into visualizations, let's have a quick look around. The core of +Capella metamodel is provided by ``org.polarsys.capella.common.data.core.gen`` +project. There you'll find the definitions of the "Capella Layers" and the +enabling "EnginereengConcerns" components. For example, the ``SystemAnalysis`` +is provided by ``ContextArchitecture.ecore``. + +.. image:: ../_static/img/2021-05-09_10-50.jpg + +Even though the default tree-view (triggered by double-click on a ``.core``) is +already giving us something there are much better ways to review the models. +We'll talk about that in the `Visualizing ECores`__ chapter. But first we +should have a look into the package structure and interdependencies. + +__ #visualizing-ecores + +Quick intro to package structure +################################ + +If you are unfamiliar with ECore you might be wondering what are those ECore +files anyways. We could say that they act as UML Packages. Every package +contains ontology elements (or UML Classes) and "local" element relationships +(Associations). The packages depend on each-other as elements frequently build +on top of each-other via Generalization relationship. Thats one of the best +things about Capella metamodel - it is defined by UML (or well, structural +subset, but still pretty cool)! + +So, from using Capella we know our model layers - Operational Analysis, System +Analysis, Logical Architecture, Physical Architecture and EPBS. We can locate +the corresponding ECores pretty quick, but what are all the other packages +about? To answer that question we should visualize the package dependency - the +quickest way to do so is to `create a new representation file`__. And after +that follow the steps in `create package dependency overview`__. The result may +look like what we have below: + +__ #create-new-representations-file +__ #package-dependency-overview + +.. image:: ../_static/img/2021-05-09_17-38.jpg + +And even though there are not too many packages in the meta-model, when we +visualize the inter-package dependency it may be a bit difficult to understand. +By the way, the figure above `is also available in SVG`__ - you can open it in +a new tab and zoom-in if you like or scroll down for a simplified one (but +opinionated). + +__ core-pkg-deps-raw.svg + +It almost feels like everything depends on everything but that isn't true +really. We could change perspective and look for the dependencies of an +end-user exposed package, such as Operational Analysis (oa). I'll use Papyrus +to visualize that: + +.. image:: ../_static/img/2021-05-09_17-44.jpg + +When we add all the Capella layers to that picture things get a bit more +interesting. I added some artificial grouping on top of the existing packages +that will help us later on - the artificial groups are: ``CapellaLayers`` - +packages that cover the layers we used to see in the tool; ``CrossLayer`` - +packages that define ontology and patterns that we see in almost every layer; +``Enablers`` - the low level ontology that enables every element. + +.. image:: ../_static/img/2021-05-09_21-21.jpg + +To make a further point on ``CrossLayer``, lets have a closer look at a +Function. We know that Functions are quite similar in how they look and feel +across Capella layers and have a lot in common with OperationalActivity. When +we open ``LogicalArchitecture.ecore`` we see it defines a ``LogicalFunction`` +as a specialization of ``AbstractFunction`` that comes from +``FunctionalAnalysis.ecore``. There is a very nice feature provided by the +`Ecore Tools`__ (that is also included in Capella Studio) - Class Inheritance +view (there is also a tiny `how-to use it below`__). We'll use that to +visualize the way the functions are made. + +__ https://www.eclipse.org/ecoretools/overview.html +__ # + +.. image:: ../_static/img/2021-05-09_22-09.jpg + +Just to be on a safe side I've done the above exercise for +``OperationalActivity``, ``SystemFunction``, ``LogicalFunction`` and +``PhysicalFunction`` - the inheritance tree is exactly the same. I've done this +check for a few other familiar ontology elements and got same result. I think +this gives a feeling for what the ``CrossLayer`` is about - to me that's the +place where most of the magic happens. And this is how the relationship between +the ``CapellaLayers`` and ``CrossLayer`` looks like when we de-noise it a bit: + +.. image:: ../_static/img/2021-05-09_22-39.jpg + +It's been a lengthy chain of thought and to finish on a hopefully useful +visualization - lets have a look at the Class contexts of some things that we +use most frequently + +Visualizations of some frequently used ontology elements +######################################################## + +Below you'll find some quick visualizations for frequently used ontology +elements, grouped by CrossLayer package + +Functional Analysis +******************* + +.. image:: ../_static/img/2021-05-10_22-35.jpg + +.. image:: ../_static/img/2021-05-17_11-50.jpg + +.. image:: ../_static/img/2021-05-10_22-59.jpg + +.. image:: ../_static/img/2021-05-12_21-03.jpg + +State Machines +************** + +.. image:: ../_static/img/2021-05-12_18-18.jpg + +.. image:: ../_static/img/2021-05-13_20-46.jpg + +The figure above is somewhat a "treasure map" to everything related to state +machines. It is made in a semi-automatic way with the help of ECore Tools and +ELK + +Composite Structure +******************* + +.. image:: ../_static/img/2021-05-12_20-10.jpg + +.. image:: ../_static/img/2021-05-12_18-51.jpg + +You may also want to have a look at the Block context below as it defines some +other useful things that a Component (or LogicalComponent) can do. + +.. image:: ../_static/img/2021-05-12_20-06.jpg + +.. image:: ../_static/img/2021-05-12_19-12.jpg + +Appendix: Visualizing ECores +############################ + +If you are new to CapellaStudio and Ecore, here are some practical hints for +how to get stuff done, ignore the below otherwise: + +Create new representations file +******************************* + +To start playing with visualizations we need a new representations file +(.aird). It is pretty easy to get there but just in case, there is figure below +to guide you through that. + +.. image:: ../_static/img/2021-05-09_17-36.jpg + +Package dependency overview +*************************** + +To create a package dependency overview for all packages you may follow the +guidance in the figure below: + +.. image:: ../_static/img/2021-05-09_17-57.jpg + +Visualizing class inheritance +***************************** + +There is a very nice feature that allows given a class to show all of its +super-classes (generalizations) and specializations. The figure below gives you +some hints for how to use it: + +.. image:: ../_static/img/2021-05-09_21-46.jpg diff --git a/_sources/development/low-level-api.rst.txt b/_sources/development/low-level-api.rst.txt new file mode 100644 index 000000000..ea12faf1b --- /dev/null +++ b/_sources/development/low-level-api.rst.txt @@ -0,0 +1,307 @@ +.. + SPDX-FileCopyrightText: Copyright DB Netz AG and the capellambse contributors + SPDX-License-Identifier: Apache-2.0 + +************* +Low-level API +************* + +.. py:currentmodule:: capellambse.loader.core + +The high level :py:class:`~capellambse.model.MelodyModel`-based API is largely +manually designed, and therefore sometimes does not cover all interesting +objects to a usable level. While we are constantly working on improving the +situation, it's also possible to use the low-level API based directly on the +XML files in order to temporarily work around these shortcomings. This +documentation sheds some light on the inner workings of this low-level API. + +In order to effectively work with it, you need to understand the basics of XML. +It also helps to be familiar with LXML_, which is used to parse and manipulate +the XML trees in memory. + +Unfortunately it's not possible to use LXML's built-in XML serializer. It +produces different whitespace in the XML tree, which confuses Capella's XML +diff-merge algorithm. This is why |project| ships with a custom serializer that +produces the same output format as Capella. It resides in the +:py:mod:`capellambse.loader.exs` module. + +.. _LXML: https://lxml.de/ + +The MelodyLoader object +======================= + +While the main object of interest for the high-level API is the +:py:class:`capellambse.model.MelodyModel` class, for the low-level API it is +the :py:class:`capellambse.loader.core.MelodyLoader`. It offers numerous +methods to search elements, resolve references, ensure model integrity during +certain modifications, and many more. + +The following sections categorize and document the various methods. + +The ``MelodyLoader`` closely works together with its auxiliary class +:py:class:`~capellambse.loader.core.ModelFile`. However, the ``ModelFile`` +mainly plays a role while loading or saving a model from/to disk (or other data +stores), and isn't used much when interacting with an already loaded model. + +.. _api-level-shift: + +Shifting between API levels +=========================== + +High to low-level shift +----------------------- + +Every model object (i.e. instance of ``GenericElement`` or one of its +subclasses) has an attribute ``_element``, which holds a reference to the +corresponding :py:class:`lxml.etree._Element` instance. The low-level API works +directly with these ``_Element`` instances. + +The ``MelodyModel`` object stores a reference to the +:py:class:`~capellambse.loader.core.MelodyLoader` instance. + +Low to high-level shift +----------------------- + +The GenericElement class offers the +:py:meth:`~capellambse.model.common.element.GenericElement.from_model` class +method, which takes a ``MelodyModel`` instance and a low-level LXML +``_Element`` as arguments and constructs a high-level API proxy object from +them. This is the way "back up" to the high-level API. + +.. note:: + + Always call ``from_model`` on the base ``GenericElement`` class, not on its + subclasses. The base class automatically searches for the correct subclass + to instantiate, based on the ``xsi:type`` of the passed XML element. Calling + the method on a subclass directly may inadvertently cause the wrong class to + be picked. + +.. code-block:: python + + >>> myfunc = model.search("LogicalFunction")[0] + >>> el = myfunc._element + >>> el + + >>> from capellambse.model import GenericElement + >>> high_el = GenericElement.from_model(model, el) + >>> high_el == myfunc + True + +When working with multiple objects, it can be desirable to directly construct a +high-level :py:class:`~capellambse.model.common.element.ElementList` with them. +The ElementList constructor works similar to ``GenericElement.from_model``, but +it takes a list of elements instead of only a single one. + +.. code-block:: python + + >>> mycomp = model.search("LogicalComponent")[0] + >>> children = mycomp._element.getchildren() + >>> len(children) + 7 + >>> mylist = ElementList(model, children) + >>> mylist + [0] + [1] + [2] + [3] + [4] + [5] + [6] + +Moving along the XML tree +========================= + +In most simple cases, you can use the standard LXML methods in order to select +parent, child and sibling elements. + +.. code-block:: python + + >>> myfunc = model.search("LogicalFunction")[3] + >>> myfunc._element.getparent() + + >>> myfunc._element.getchildren() + [] + >>> myfunc._element.getprevious() + + >>> myfunc._element.getnext() + + +These elements and lists of elements can then be fed into +``GenericElement.from_model`` or the ``ElementList`` constructor respectively +in order to :ref:`return to the high-level API `. + +Capella models support fragmentation into multiple files, which results in +multiple XML trees being loaded into memory. This makes it difficult to +traverse up and down the hierarchy, because in theory every element can be a +fragment boundary – in this case, it does not have a physical parent element, +and ``getparent()`` will return ``None``. A call to ``getchildren()`` or +similar on the (logical) parent element will yield a placeholder which only +contains a reference to the real element, but does not hold any other +information. + +``MelodyLoader`` provides methods to traverse upwards or downwards in the +model's XML tree, while also taking into account fragment boundaries and the +aforementioned placeholder elements. + +.. class:: MelodyLoader + :noindex: + + .. automethod:: iterancestors + :noindex: + .. automethod:: iterchildren_xt + :noindex: + .. automethod:: iterdescendants + :noindex: + .. automethod:: iterdescendants_xt + :noindex: + +Resolving references +==================== + +You will often encounter attributes that contain references to other elements. + +The ``MelodyLoader`` provides the following methods to work with references: + +.. class:: MelodyLoader + :noindex: + + .. automethod:: follow_link + :noindex: + .. automethod:: follow_links + :noindex: + .. automethod:: create_link + :noindex: + +Finding elements elsewhere +========================== + +The low-level API implements the fundamentals for looking up model objects or +finding them by their type. The following methods are involved in these +operations: + +.. class:: MelodyLoader + :noindex: + + .. automethod:: iterall + :noindex: + .. automethod:: iterall_xt + :noindex: + .. automethod:: xpath + :noindex: + .. automethod:: xpath2 + :noindex: + +Manipulating objects +==================== + +.. warning:: + + The low-level API by itself does not do any consistency or validity checks + when modifying a model. Therefore it is very easy to break a model using it, + which can be very hard to recover from. Proceed with caution. + +As ``GenericElement`` instances are simply wrappers around the raw XML +elements, any changes to their attributes are directly reflected by changes to +the attributes or children of the underlying XML element and vice versa. This +means that no special care needs to be taken to keep the high-level and +low-level parts of the API synchronized. + +In many cases, the attribute names of the high-level API match those in the +XML, with the difference that the former uses ``snake_case`` naming (as is +conventional in the Python world), while the latter uses ``camelCase`` naming. +This example shows how the name of a function is accessed and modified using +the low-level API: + +.. code-block:: python + + >>> myfunc = model.search("LogicalFunction")[3] + >>> myfunc.name + 'defend the surrounding area against Intruders' + >>> myfunc._element.attrib["name"] + 'defend the surrounding area against Intruders' + >>> myfunc._element.attrib["name"] = "My Function" + >>> myfunc.name + 'My Function' + +Be aware that the XML usually does not explicitly store attributes that are set +to their default value (as defined by the meta model). In addition to that, the +high-level API often offers convenience shortcuts and reverse lookups that are +not directly reflected by XML attributes. Without at the detailed definitions, +it can therefore be difficult to infer the correct attributes for the low-level +API objects. + +Creating and deleting objects +============================= + +.. warning:: + + Creating or deleting objects through the low-level API is highly + discouraged, as it bears a very high risk of breaking the model. It's + unlikely that we can support you with any breakage that you encounter as a + result of using the low-level API. + + If you need access to model elements and relations that are not yet covered + by our high-level API, please consider contributing and extending it instead + – it's probably easier anyway. ;) + +The ID cache +------------ + +In order to provide instantaneous access to any model element via its UUID, the +MelodyLoader maintains a hashmap containing all UUIDs. This hashmap needs to be +updated when inserting or removing elements in the tree. The following methods +take care of that: + +.. class:: MelodyLoader + :noindex: + + .. automethod:: idcache_index + :noindex: + .. automethod:: idcache_remove + :noindex: + .. automethod:: idcache_rebuild + :noindex: + +Creating objects +---------------- + +Creating a new object with the low-level API is a rather complex process. The +``MelodyLoader`` does provide some basic integrity checks, but most of the +meta-model-aware logic is implemented within the high-level API. + +Before creating a new object, you need to generate and reserve a UUID for it. +This is done using the ``generate_uuid`` method. ``new_uuid`` provides a +context manager around it, which automatically cleans up the model in case +anything went wrong. It also checks that the UUID was properly registered with +the ID cache (see below). It is therefore highly recommended to use +``new_uuid`` over directly calling ``generate_uuid``. Note that even when using +``new_uuid``, you still need to manually call ``idcache_index`` on the newly +inserted element. + +.. class:: MelodyLoader + :noindex: + + .. automethod:: generate_uuid + :noindex: + .. automethod:: new_uuid + :noindex: + +Deleting objects +---------------- + +Inversely to creating new ones, when deleting an object from the XML tree it +also needs to be removed from the ID cache. This is done by calling +``idcache_remove`` (see above) on the element to be removed. Afterwards, delete +the element from its parent using the standard LXML API. + +Saving modifications +==================== + +The ``MelodyLoader`` provides the same ``save()`` method as the high-level +``MelodyModel``. + +.. class:: MelodyLoader + :noindex: + + .. automethod:: save + :noindex: diff --git a/_sources/development/repl.rst.txt b/_sources/development/repl.rst.txt new file mode 100644 index 000000000..f7d479089 --- /dev/null +++ b/_sources/development/repl.rst.txt @@ -0,0 +1,16 @@ +.. + SPDX-FileCopyrightText: Copyright DB Netz AG and the capellambse contributors + SPDX-License-Identifier: Apache-2.0 + +The |project| REPL +================== + +.. automodule:: capellambse.repl + +.. sphinx_argparse_cli:: + :module: capellambse.repl + :func: main + :hook: + :prog: capellambse/repl.py + :title: Capellambse Repl + :group_title_prefix: diff --git a/_sources/examples/01 Introduction.ipynb.txt b/_sources/examples/01 Introduction.ipynb.txt new file mode 100644 index 000000000..983c7661c --- /dev/null +++ b/_sources/examples/01 Introduction.ipynb.txt @@ -0,0 +1,607 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "1a1fe414", + "metadata": {}, + "source": [ + "# Introduction\n", + "\n", + "Welcome to the py-capella-mbse Showcase notebook. This notebook will show you some basic (and not so basic) things that you can get done using this library. For more advanced features have a look around the nearby notebooks.\n", + "\n", + "The below code loads the library and one of the test models:" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "3e28d1c9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import capellambse\n", + "path_to_model = \"../../../tests/data/melodymodel/5_0/Melody Model Test.aird\"\n", + "model = capellambse.MelodyModel(path_to_model, jupyter_untrusted=True)\n", + "model" + ] + }, + { + "cell_type": "markdown", + "id": "48ce0c1e", + "metadata": {}, + "source": [ + "The additional `jupyter_untrusted` parameter is currently needed to render diagrams correctly. In untrusted notebooks, all CSS elements (and JavaScript too) are removed for security reasons - however, capellambse-generated SVGs use a stylesheet to make the implementation a bit cleaner.\n", + "\n", + "Having said that, lets go to the first practical example of working with the library!" + ] + }, + { + "cell_type": "markdown", + "id": "7e68b88c-b4bc-4c20-a39f-48094c0eabdd", + "metadata": { + "tags": [] + }, + "source": [ + "## Example 1: Actor functions\n", + "\n", + "The below code will print every Actor available in the Logical Architecture layer" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "abcd8693", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Multiport\n", + "Prof. S. Snape\n", + "Voldemort\n", + "R. Weasley\n", + "Prof. A. P. W. B. Dumbledore\n", + "Harry J. Potter\n" + ] + } + ], + "source": [ + "for actor in model.la.all_actors:\n", + " print(actor.name)" + ] + }, + { + "cell_type": "markdown", + "id": "4ddbf9be", + "metadata": {}, + "source": [ + "but we could also \"zoom-in\" to an actor of interest:" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "56bb4b44", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "

Prof. S. Snape (org.polarsys.capella.core.data.la:LogicalComponent)

allocated_functions
  1. LogicalFunction "Teaching" (a7acb298-d14b-4707-a419-fea272434541)
  2. LogicalFunction "maintain a layer of defense for the Sorcerer's Stone" (4a2a7f3c-d223-4d44-94a7-50dd2906a70c)
applied_property_value_groups
  1. PropertyValueGroup "DarkMagic.Power" (2a480409-57d1-46f8-a0ce-e574706a9a7c)
  2. PropertyValueGroup "DarkMagic.Power Level" (b1d7453b-69ab-4d81-ab8b-1e48b5870340)
applied_property_values

(Empty list)

components

(Empty list)

constraints

(Empty list)

context_diagramContext of Prof. S. Snape (uuid: 6f463eed-c77b-4568-8078-beec0536f243_context)
description

Good guy and teacher of brewing arts.

\n", + "
diagrams

(Empty list)

exchanges

(Empty list)

filtering_criteria

(Empty list)

functions
  1. LogicalFunction "Teaching" (a7acb298-d14b-4707-a419-fea272434541)
  2. LogicalFunction "maintain a layer of defense for the Sorcerer's Stone" (4a2a7f3c-d223-4d44-94a7-50dd2906a70c)
is_abstractFalse
is_actorTrue
is_humanTrue
nameProf. S. Snape
ownerLogicalComponentPkg "Structure" (84c0978d-9a32-4f5b-8013-5b0b6adbfd73)
parentLogicalComponentPkg "Structure" (84c0978d-9a32-4f5b-8013-5b0b6adbfd73)
partsBackreference to Part - omitted: can be slow to compute. Display this property directly to show.
physical_links

(Empty list)

physical_paths

(Empty list)

physical_ports

(Empty list)

ports
  1. ComponentPort "CP 1" (b4e39757-b0fd-41ff-a7b8-c9fc36de2ca9)
progress_statusNOT_SET
property_value_groups
  1. PropertyValueGroup "DarkMagic.Power" (2a480409-57d1-46f8-a0ce-e574706a9a7c)
  2. PropertyValueGroup "DarkMagic.Power Level" (b1d7453b-69ab-4d81-ab8b-1e48b5870340)
property_values

(Empty list)

pvmt<capellambse.extensions.pvmt.PropertyValueProxy object at 0x7f496cb3f010>
realized_components

(Empty list)

realized_system_components

(Empty list)

realizing_componentsBackreference to - omitted: can be slow to compute. Display this property directly to show.
realizing_physical_componentsBackreference to PhysicalComponent - omitted: can be slow to compute. Display this property directly to show.
related_exchangesBackreference to ComponentExchange - omitted: can be slow to compute. Display this property directly to show.
requirements

(Empty list)

state_machines

(Empty list)

summaryNone
traces

(Empty list)

uuid6f463eed-c77b-4568-8078-beec0536f243
xtypeorg.polarsys.capella.core.data.la:LogicalComponent
" + ], + "text/plain": [ + "\n", + ".allocated_functions = [0] \n", + " [1] \n", + ".applied_property_value_groups = [0] \n", + " [1] \n", + ".applied_property_values = []\n", + ".components = []\n", + ".constraints = []\n", + ".context_diagram = \n", + ".description = Markup('

Good guy and teacher of brewing arts.

\\n')\n", + ".diagrams = []\n", + ".exchanges = []\n", + ".filtering_criteria = []\n", + ".functions = [0] \n", + " [1] \n", + ".is_abstract = False\n", + ".is_actor = True\n", + ".is_human = True\n", + ".name = 'Prof. S. Snape'\n", + ".owner = \n", + ".parent = \n", + ".parts = ... # backreference to Part - omitted: can be slow to compute\n", + ".physical_links = []\n", + ".physical_paths = []\n", + ".physical_ports = []\n", + ".ports = [0] \n", + ".progress_status = 'NOT_SET'\n", + ".property_value_groups = [0] \n", + " [1] \n", + ".property_values = []\n", + ".pvmt = \n", + ".realized_components = []\n", + ".realized_system_components = []\n", + ".realizing_components = ... # backreference to - omitted: can be slow to compute\n", + ".realizing_physical_components = ... # backreference to PhysicalComponent - omitted: can be slow to compute\n", + ".related_exchanges = ... # backreference to ComponentExchange - omitted: can be slow to compute\n", + ".requirements = []\n", + ".state_machines = []\n", + ".summary = None\n", + ".traces = []\n", + ".uuid = '6f463eed-c77b-4568-8078-beec0536f243'\n", + ".xtype = 'org.polarsys.capella.core.data.la:LogicalComponent'" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.la.all_actors.by_name(\"Prof. S. Snape\")" + ] + }, + { + "cell_type": "markdown", + "id": "30e17ac3", + "metadata": {}, + "source": [ + "We can also turn the above data into a table, for example \"actor function allocation\", using `pandas`.\n", + "\n", + "For this, we first make sure pandas itself is installed, as well as an extension we'll use later." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "400e483d-eca7-4fdd-a9e0-71467e1af8d8", + "metadata": {}, + "outputs": [], + "source": [ + "%pip install -q pandas openpyxl" + ] + }, + { + "cell_type": "markdown", + "id": "acbe1247-e1a1-4da8-a95a-7b41f4836937", + "metadata": {}, + "source": [ + "Now we can use it together with `capellambse`:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "833220d0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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actorfunctions
0MultiportLAF 1
1Prof. S. SnapeTeaching; maintain a layer of defense for the ...
2Voldemortno functions assigned
3R. Weasleyassist Harry; break school rules
4Prof. A. P. W. B. Dumbledoremanage the school; advise Harry
5Harry J. Potterkill He Who Must Not Be Named
\n", + "
" + ], + "text/plain": [ + " actor \\\n", + "0 Multiport \n", + "1 Prof. S. Snape \n", + "2 Voldemort \n", + "3 R. Weasley \n", + "4 Prof. A. P. W. B. Dumbledore \n", + "5 Harry J. Potter \n", + "\n", + " functions \n", + "0 LAF 1 \n", + "1 Teaching; maintain a layer of defense for the ... \n", + "2 no functions assigned \n", + "3 assist Harry; break school rules \n", + "4 manage the school; advise Harry \n", + "5 kill He Who Must Not Be Named " + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "\n", + "data = []\n", + "for actor in model.la.all_actors:\n", + " actor_functions = \"; \".join([function.name for function in actor.functions] or [\"no functions assigned\"])\n", + " data.append(dict(actor=actor.name, functions=actor_functions))\n", + "df = pd.DataFrame(data)\n", + "df" + ] + }, + { + "cell_type": "markdown", + "id": "6e04c482", + "metadata": {}, + "source": [ + "and any `pandas.DataFrame` can always be turned into an Excel Spreadsheet, just like that:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "10af24a2", + "metadata": {}, + "outputs": [], + "source": [ + "df.to_excel(\"01_intro_actor_functions.xlsx\")" + ] + }, + { + "cell_type": "markdown", + "id": "5370bc56", + "metadata": { + "tags": [] + }, + "source": [ + "you can check the resulting file in the folder next to this notebook (right after you run the above cell)\n", + "\n", + "Now that we've seen the basics, lets do something visually cool." + ] + }, + { + "cell_type": "markdown", + "id": "5afcdfdd-79e0-4e07-b321-d92a11f1d082", + "metadata": { + "tags": [] + }, + "source": [ + "## Example 2: working with diagrams\n", + "\n", + "The below code will find some diagrams for us." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "eb5f8747", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[LAB] Wizzard Education\n", + "[LAB] Test Component Port Filter\n", + "[LAB] Hidden Wizzard Education\n" + ] + } + ], + "source": [ + "for diagram in model.la.diagrams.by_type('LAB'):\n", + " print(diagram.name)" + ] + }, + { + "cell_type": "markdown", + "id": "66609218", + "metadata": {}, + "source": [ + "We can analyze which model objects are shown in a particular diagram." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "71bf090e", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
  1. Part "Hogwarts" (101ffa60-f8a2-4ea2-a0d8-d10910ceac06)
  2. LogicalFunction "produce Great Wizards" (0e71a0d3-0a18-4671-bba0-71b5f88f95dd)
  3. LogicalFunction "protect Students against the Death Eaters" (264fb47d-67b7-4bdc-8d06-8a0e5139edbf)
  4. Part "Campus" (a3194240-cd17-4998-8f8b-785233487ec3)
  5. Part "School" (018a8ae9-8e8e-4aea-8191-4abf844a79e3)
  6. LogicalFunction "educate Wizards" (957c5799-1d4a-4ac0-b5de-33a65bf1519c)
  7. Part "Whomping Willow" (1188fc31-789b-424f-a2d4-06791873a351)
  8. LogicalFunction "defend the surrounding area against Intruders" (7f2936ab-0b54-4e92-9f0c-85a9f0981959)
  9. Part "Prof. A. P. W. B. Dumbledore" (4c1f2b5d-0641-42c7-911f-7a42928580b8)
  10. LogicalFunction "manage the school" (f708bc29-d69f-42a0-90cc-11fc01054cd0)
  11. LogicalFunction "advise Harry" (beaf5ba4-8fa9-4342-911f-0266bb29be45)
  12. Part "Prof. S. Snape" (ccbad61a-39dc-4af8-8199-3fee30de2f1d)
  13. LogicalFunction "Teaching" (a7acb298-d14b-4707-a419-fea272434541)
  14. LogicalFunction "maintain a layer of defense for the Sorcerer's Stone" (4a2a7f3c-d223-4d44-94a7-50dd2906a70c)
  15. ComponentExchange "Headmaster Responsibilities" (c0bc49e1-8043-4418-8c0a-de6c6b749eab)
  16. ComponentExchange "Teacher Responsibilities" (9cbdd233-aff5-47dd-9bef-9be1277c77c3)
  17. Part "Harry J. Potter" (26543596-7646-4d81-8f15-c4e01ec930a7)
  18. LogicalFunction "kill He Who Must Not Be Named" (aa9931e3-116c-461e-8215-6b9fdbdd4a1b)
  19. Part "R. Weasley" (4d31caaf-210e-4bdf-982e-cdecbc80c947)
  20. LogicalFunction "assist Harry" (c1a42acc-1f53-42bb-8404-77a5c08c414b)
  21. LogicalFunction "break school rules" (edbd1ad4-31c0-4d53-b856-3ffa60e0e99b)
  22. ComponentExchange "Punishment" (85a1fb20-38ea-4d77-acd7-90a8c44dc695)
  23. FunctionalExchange "wizardry" (6545a77d-d224-4662-a5b2-3c016b78e33d)
  24. PortAllocation "" (a4e2bf11-0705-4f20-bf73-5fa5519954f7)
  25. PortAllocation "" (7d31ab50-63d6-46bb-bf53-1716175beae3)
  26. PortAllocation "" (317715cb-376c-4df6-a32c-433e3c081f8d)
  27. ComponentExchange "Learning" (3b3fc202-be5c-49ae-bf2f-1d61daf3bb50)
  28. PortAllocation "" (c1019d06-f376-48e3-832e-634a8ec59463)
  29. PortAllocation "" (4cbdf5fd-7268-470b-9811-b62ad67fded1)
  30. FunctionalExchange "assistance" (241f3901-11f0-4b00-a903-ed158cce73de)
  31. FunctionalExchange "friendship" (1bbb9b2d-517c-4f77-a35c-b3aa3f9422b8)
  32. PortAllocation "" (18fa81ee-8b16-4815-86ea-0c287ace43d8)
  33. ComponentExchange "Help for Harry" (d8655737-39ab-4482-a934-ee847c7ff6bd)
  34. FunctionalExchange "punish" (96a0cf4c-adfe-4490-92d1-bcf75ee77004)
  35. FunctionalExchange "educate & mature" (09efaeb7-2d50-40ed-a4da-46afcb9ca7a1)
  36. FunctionalExchange "Knowledge" (b1a817bc-40a9-4fc4-b62c-8dea4aa28915)
  37. PortAllocation "" (dda7a62a-f25f-46d8-8f05-867c616914c1)
  38. PortAllocation "" (fee1fff5-d751-401b-bb3c-2114a74f0c8a)
  39. PortAllocation "" (0f6e1aa0-942a-40a9-930f-c7df34b9d8eb)
  40. ComponentExchange "Care" (c31491db-817d-44b3-a27c-67e9cc1e06a2)
  41. PortAllocation "" (98760017-b3a3-46ca-b1ef-87eee9ea1600)
  42. PortAllocation "" (74bd0ab3-6a28-4025-822e-90201445a56e)
  43. PortAllocation "" (3ed5ae4f-8a4e-4690-9088-655990a1b77b)
  44. PortAllocation "" (299b98b8-8716-4dbc-bc7e-4b9349778c26)
  45. PortAllocation "" (14cabdd9-c36f-4e01-ad09-110f906ad725)
  46. PortAllocation "" (6d882e28-4208-41d0-b8a5-3a19e1805a34)
  47. FunctionalExchange "educate" (cdc69c5e-ddd8-4e59-8b99-f510400650aa)
  48. PortAllocation "" (c90bb30d-e36b-46a3-a3a1-e39fdcb519be)
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The filter coverage will eventally improve, stay tuned." + ] + }, + { + "cell_type": "markdown", + "id": "9ec8f512-6e78-46fe-9dce-ed6fbfc8ad7a", + "metadata": {}, + "source": [ + "And finally, you can display the diagram right in the notebook." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "cc09fd22", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "diagram" + ] + }, + { + "cell_type": "markdown", + "id": "f678a3ee-ac7e-4ce4-a8e2-0d41c612800e", + "metadata": {}, + "source": [ + "We use SVG diagrams a lot since they look great in documentation, are zoomable and really light-weight. To make integrating them into a pipeline easier, we also support some derived formats, which you can access using `.as_` style attributes. With some additional dependencies set up (see the README), capellambse can also automatically convert these images to PNG format." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "b5699e75-2e4c-4b8e-81af-51be00ff6dc3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "` tag, using the above `data:` URI as `src`\n", + "print(diagram.as_png[:10], \"...\") # A raw PNG byte stream, which can be written to a `.png` file" + ] + }, + { + "cell_type": "markdown", + "id": "21e0b9c2", + "metadata": {}, + "source": [ + "Lets now try something else - we check if function port has any protocols (state machines) underneath:" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "cf91c71a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
  1. StateMachine "FaultStates" (06cefb2b-534e-4453-9aba-fe53329197ad)
" + ], + "text/plain": [ + "[0] " + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fnc = model.la.all_functions.by_name(\"defend the surrounding area against Intruders\")\n", + "stms = fnc.outputs[0].state_machines\n", + "stms" + ] + }, + { + "cell_type": "markdown", + "id": "dc8069df", + "metadata": {}, + "source": [ + "and we can also check what states it could have:" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "b5751a0d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
  1. State "normal defence" (e494e247-efce-4258-9cc6-fd799dbb0adf)
  2. State "erroneous defence" (81f3de46-4596-41b0-8569-c3c21161a2f6)
  3. State "no defence" (5b6a03d8-0ef9-4b2b-9a50-a745f490d663)
" + ], + "text/plain": [ + "[0] \n", + "[1] \n", + "[2] " + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "stms[0].regions[0].states" + ] + }, + { + "cell_type": "markdown", + "id": "86e23011", + "metadata": {}, + "source": [ + "This concludes our introduction. There is a lot more you can do with the library - feel free to explore the examples collection or create an issue to ask for a specific use-case example and you may see it around pretty soon." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + }, + "vscode": { + "interpreter": { + "hash": "c5ea7dc634d8047a259e5b898f154d237fbe6934b444b1a949475949608d751e" + } + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/_sources/examples/02 Intro to Physical Architecture API.ipynb.txt b/_sources/examples/02 Intro to Physical Architecture API.ipynb.txt new file mode 100644 index 000000000..f358835dd --- /dev/null +++ b/_sources/examples/02 Intro to Physical Architecture API.ipynb.txt @@ -0,0 +1,726 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "b02a2030", + "metadata": {}, + "source": [ + "# Introduction to Physical Architecture API\n", + "\n", + "**Note**: In this notebook we will use `pandas` dataframes library to construct and visualize tables, **if you don't have pandas installed** in the current environment you may want to do so by running the cell below." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4c181cfb", + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "%pip install pandas" + ] + }, + { + "cell_type": "markdown", + "id": "3d39f975", + "metadata": {}, + "source": [ + "The cell below loads our test model so we could play with it and silences warnings." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "1386d2f7", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "import capellambse\n", + "import logging\n", + "import pandas as pd\n", + "\n", + "logging.getLogger().setLevel(logging.CRITICAL)\n", + "model = capellambse.MelodyModel(\n", + " \"../../../tests/data/melodymodel/5_0/Melody Model Test.aird\",\n", + " jupyter_untrusted=True,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "9f73eb7e", + "metadata": {}, + "source": [ + "but before we jump into code, lets have a look first at Capella metamodel concerning the Physical Architecture layer (PA).\n", + "\n", + "Things in PA are very similar to what we see in SysML when it comes to `ibd`s (Internal Block Diagrams) - the boxes we see on those are `Part`s that are instanciated from `Block` objects. Same happens in Capella - the boxes we see on `PAB` diagrams are `Parts` that were instanciated from `PhysicalComponent`s. Here also comes the very special difference of Capella - unless you explicitly enable **part re-use**, `PhysicalComponent` will always have only one `Part`. This is the default behavior of Capella. \n", + "\n", + "Our API should support both cases but at the moment we don't use models with **part re-use** enabled in production yet and so don't test the library against this case. Yet we do implement Parts and support many parts - one component relationship model.\n", + "\n", + "One more issue to mention - rendering PA diagrams outside of Capella was never a high priority so the resulting representations of PABs rendered without Capella are not very accurate at the moment. We hope to improve it soon though. If you still do want to see how it looks like when we render it right now - uncomment the `# diagram` in the cell below" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "8b555976", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "diagram = model.pa.diagrams.by_name(\"[PAB] A sample vehicle arch\")\n", + "diagram" + ] + }, + { + "cell_type": "markdown", + "id": "1c479ca3", + "metadata": {}, + "source": [ + "## Example 1: List components that are visible on a diagram\n", + "\n", + "To start, let's get all parts on that diagram and turn them into PhysicalComponents." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "711574aa", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
  1. PhysicalComponent "Vehicle" (b327d900-abd2-4138-a111-9ff0684739d8)
  2. PhysicalComponent "Equipment compartment" (3d68852d-fcc0-452c-af12-a2fbe22f81fa)
  3. PhysicalComponent "Server" (9137f463-7497-40c2-b20a-897158fdba9a)
  4. PhysicalComponent "Compute Card 1" (63be604e-883e-41ea-9023-fc74f29906fe)
  5. PhysicalComponent "Card 1 OS" (7b188ad0-0d82-4b2c-9913-45292e537871)
  6. PhysicalComponent "Camera Driver SWC" (74067f56-33bf-47f5-bb8b-f3604097f653)
  7. PhysicalComponent "App 1 SWC" (b80a6fcc-8d35-4675-a2e6-60efcbd61e27)
  8. PhysicalComponent "Cooling Fan" (65e82f3f-c5b7-44c1-bfea-8e20bb0230be)
  9. PhysicalComponent "Compute Card 2" (3a982128-3281-4d37-8838-a6058b7a25d9)
  10. PhysicalComponent "Card 2 OS" (09e19313-c824-467f-9fb5-95ed8b4e2d51)
  11. PhysicalComponent "App 2 SWC" (ca5af12c-5259-4844-aaac-9ca9f84aa90b)
  12. PhysicalComponent "Network Switch" (b51ccc6f-5f96-4e28-b90e-72463a3b50cf)
  13. PhysicalComponent "Switch Firmware" (c78b5d7c-be0c-4ed4-9d12-d447cb39304e)
  14. PhysicalComponent "Switch Configuration" (23c47b69-7352-481d-be88-498fb351adbe)
  15. PhysicalComponent "Sensor compartment" (3f416925-9d8a-4e9c-99f3-e912efb23d2f)
  16. PhysicalComponent "Camera Assembly" (5bfc516b-c20d-4007-9a38-5ba0e889d0a4)
  17. PhysicalComponent "Camera Firmware" (db2d86d7-48ee-478b-a6fc-d6387ab0032e)
" + ], + "text/plain": [ + "[0] \n", + "[1] \n", + "[2] \n", + "[3] \n", + "[4] \n", + "[5] \n", + "[6] \n", + "[7] \n", + "[8] \n", + "[9] \n", + "[10] \n", + "[11] \n", + "[12] \n", + "[13] \n", + "[14] \n", + "[15] \n", + "[16] " + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "components_on_diagram = diagram.nodes.by_type(\"Part\").map(\"type\")\n", + "components_on_diagram" + ] + }, + { + "cell_type": "markdown", + "id": "aab38c3e", + "metadata": {}, + "source": [ + "We could also get all components across the entire PA layer by doing `model.pa.all_components`, but we will not go there in this example.\n", + "\n", + "We can review any single component from that list above:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "21ef5c4d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

Cooling Fan (org.polarsys.capella.core.data.pa:PhysicalComponent)

allocated_functions

(Empty list)

applied_property_value_groups

(Empty list)

applied_property_values

(Empty list)

components

(Empty list)

constraints

(Empty list)

context_diagramContext of Cooling Fan (uuid: 65e82f3f-c5b7-44c1-bfea-8e20bb0230be_context)
deployed_components

(Empty list)

deploying_componentsBackreference to PhysicalComponent - omitted: can be slow to compute. Display this property directly to show.
description
diagrams

(Empty list)

exchanges

(Empty list)

filtering_criteria

(Empty list)

functions

(Empty list)

is_abstractFalse
is_actorFalse
is_humanFalse
kind<Kind.HARDWARE: 2>
nameCooling Fan
nature<Nature.NODE: 1>
owned_components

(Empty list)

ownerPhysicalComponent "Compute Card 1" (63be604e-883e-41ea-9023-fc74f29906fe)
parentPhysicalComponent "Compute Card 1" (63be604e-883e-41ea-9023-fc74f29906fe)
partsBackreference to Part - omitted: can be slow to compute. Display this property directly to show.
physical_links

(Empty list)

physical_paths

(Empty list)

physical_ports

(Empty list)

ports

(Empty list)

progress_statusNOT_SET
property_value_groups

(Empty list)

property_values

(Empty list)

pvmt<capellambse.extensions.pvmt.PropertyValueProxy object at 0x7fc7990cc790>
realized_components

(Empty list)

realized_logical_components

(Empty list)

realizing_componentsBackreference to - omitted: can be slow to compute. Display this property directly to show.
related_exchangesBackreference to ComponentExchange - omitted: can be slow to compute. Display this property directly to show.
requirements

(Empty list)

state_machines

(Empty list)

summaryNone
traces

(Empty list)

uuid65e82f3f-c5b7-44c1-bfea-8e20bb0230be
xtypeorg.polarsys.capella.core.data.pa:PhysicalComponent
" + ], + "text/plain": [ + "\n", + ".allocated_functions = []\n", + ".applied_property_value_groups = []\n", + ".applied_property_values = []\n", + ".components = []\n", + ".constraints = []\n", + ".context_diagram = \n", + ".deployed_components = []\n", + ".deploying_components = ... # backreference to PhysicalComponent - omitted: can be slow to compute\n", + ".description = ''\n", + ".diagrams = []\n", + ".exchanges = []\n", + ".filtering_criteria = []\n", + ".functions = []\n", + ".is_abstract = False\n", + ".is_actor = False\n", + ".is_human = False\n", + ".kind = \n", + ".name = 'Cooling Fan'\n", + ".nature = \n", + ".owned_components = []\n", + ".owner = \n", + ".parent = \n", + ".parts = ... # backreference to Part - omitted: can be slow to compute\n", + ".physical_links = []\n", + ".physical_paths = []\n", + ".physical_ports = []\n", + ".ports = []\n", + ".progress_status = 'NOT_SET'\n", + ".property_value_groups = []\n", + ".property_values = []\n", + ".pvmt = \n", + ".realized_components = []\n", + ".realized_logical_components = []\n", + ".realizing_components = ... # backreference to - omitted: can be slow to compute\n", + ".related_exchanges = ... # backreference to ComponentExchange - omitted: can be slow to compute\n", + ".requirements = []\n", + ".state_machines = []\n", + ".summary = None\n", + ".traces = []\n", + ".uuid = '65e82f3f-c5b7-44c1-bfea-8e20bb0230be'\n", + ".xtype = 'org.polarsys.capella.core.data.pa:PhysicalComponent'" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "components_on_diagram[7]" + ] + }, + { + "cell_type": "markdown", + "id": "22343924", + "metadata": {}, + "source": [ + "However we may need just a few of those attributes in a view.\n", + "\n", + "Now that we have a list of components lets collect some of the attributes of interest in a table. To keep it simple we'll introduce an attribute extractor function that will turn fields of interest into a nice dictionary." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "63ff286c", + "metadata": {}, + "outputs": [], + "source": [ + "def extract_attrs_of_interest(component):\n", + " return dict(\n", + " name=component.name,\n", + " nature=component.nature,\n", + " kind=component.kind,\n", + " components=\"; \".join([cmp.name for cmp in component.components])\n", + " )" + ] + }, + { + "cell_type": "markdown", + "id": "55d509d0", + "metadata": {}, + "source": [ + "We can then apply that extractor function to our list of components and use `pandas` to display it for us in a tabular form:" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "6d8ff25c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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namenaturekindcomponents
0VehicleNODESOFTWARE_DEPLOYMENT_UNITEquipment compartment; Sensor compartment
1Equipment compartmentNODEFACILITIESServer; Network Switch
2ServerNODEHARDWARECompute Card 1; Compute Card 2
3Compute Card 1NODEHARDWARECard 1 OS; Cooling Fan
4Card 1 OSBEHAVIORSERVICESCamera Driver SWC; App 1 SWC
5Camera Driver SWCBEHAVIORSOFTWARE
6App 1 SWCBEHAVIORSOFTWARE
7Cooling FanNODEHARDWARE
8Compute Card 2NODEHARDWARECard 2 OS
9Card 2 OSBEHAVIORSOFTWAREApp 2 SWC
10App 2 SWCBEHAVIORSOFTWARE
11Network SwitchNODEHARDWARESwitch Firmware; Switch Configuration
12Switch FirmwareBEHAVIORHARDWARE_COMPUTER
13Switch ConfigurationBEHAVIORDATA
14Sensor compartmentNODEFACILITIESCamera Assembly
15Camera AssemblyNODEHARDWARECamera Firmware
16Camera FirmwareBEHAVIORSOFTWARE_EXECUTION_UNIT
\n", + "
" + ], + "text/plain": [ + " name nature kind \\\n", + "0 Vehicle NODE SOFTWARE_DEPLOYMENT_UNIT \n", + "1 Equipment compartment NODE FACILITIES \n", + "2 Server NODE HARDWARE \n", + "3 Compute Card 1 NODE HARDWARE \n", + "4 Card 1 OS BEHAVIOR SERVICES \n", + "5 Camera Driver SWC BEHAVIOR SOFTWARE \n", + "6 App 1 SWC BEHAVIOR SOFTWARE \n", + "7 Cooling Fan NODE HARDWARE \n", + "8 Compute Card 2 NODE HARDWARE \n", + "9 Card 2 OS BEHAVIOR SOFTWARE \n", + "10 App 2 SWC BEHAVIOR SOFTWARE \n", + "11 Network Switch NODE HARDWARE \n", + "12 Switch Firmware BEHAVIOR HARDWARE_COMPUTER \n", + "13 Switch Configuration BEHAVIOR DATA \n", + "14 Sensor compartment NODE FACILITIES \n", + "15 Camera Assembly NODE HARDWARE \n", + "16 Camera Firmware BEHAVIOR SOFTWARE_EXECUTION_UNIT \n", + "\n", + " components \n", + "0 Equipment compartment; Sensor compartment \n", + "1 Server; Network Switch \n", + "2 Compute Card 1; Compute Card 2 \n", + "3 Card 1 OS; Cooling Fan \n", + "4 Camera Driver SWC; App 1 SWC \n", + "5 \n", + "6 \n", + "7 \n", + "8 Card 2 OS \n", + "9 App 2 SWC \n", + "10 \n", + "11 Switch Firmware; Switch Configuration \n", + "12 \n", + "13 \n", + "14 Camera Assembly \n", + "15 Camera Firmware \n", + "16 " + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.DataFrame(list(map(extract_attrs_of_interest, components_on_diagram)))" + ] + }, + { + "cell_type": "markdown", + "id": "91a9ab15", + "metadata": {}, + "source": [ + "## Example 2: Create HW-SW allocation table\n", + "\n", + "Now let's assume that components of \"Node\" nature are hardware things and \"Behavior\" corresponds to software components. Assuming that, let's identify leaf hardware components (lowest replaceable units), and for each of those indicate which software components they have.\n", + "\n", + "To get there, let's first filter out the list of components of \"Node\" nature that have at least one subcomponent of \"Behavior\" nature. We'll use the `.filter` method of our object list. To use that method we'll need to provide a function or lambda that determines whether an object should be selected. We can also make use of the implicit \"truthiness\" of non-empty list attributes:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "01644c9d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
  1. PhysicalComponent "Sub PC" (793e6da2-d019-4716-a5c5-af8ad550ca5e)
  2. PhysicalComponent "Deploy Sub PC" (8a6c6ec9-095d-4d8b-9728-69bc79af5f27)
  3. PhysicalComponent "Compute Card 1" (63be604e-883e-41ea-9023-fc74f29906fe)
  4. PhysicalComponent "Compute Card 2" (3a982128-3281-4d37-8838-a6058b7a25d9)
  5. PhysicalComponent "Network Switch" (b51ccc6f-5f96-4e28-b90e-72463a3b50cf)
  6. PhysicalComponent "Camera Assembly" (5bfc516b-c20d-4007-9a38-5ba0e889d0a4)
  7. PhysicalComponent "Computer" (b14ff190-9198-4d05-95db-b121c11e9f17)
  8. PhysicalComponent "ISP Network" (221cef9f-0582-419c-b67e-96ddb678dd4c)
" + ], + "text/plain": [ + "[0] \n", + "[1] \n", + "[2] \n", + "[3] \n", + "[4] \n", + "[5] \n", + "[6] \n", + "[7] " + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cmps = model.pa.all_components[1:].by_nature(\"NODE\")\n", + "# Note: the above [1:] assumes that 0th component is the root component and is not of interest (+ see issue #41)\n", + "cmps_with_sw = cmps.filter(lambda i: i.components.by_nature(\"BEHAVIOR\"))\n", + "cmps_with_sw" + ] + }, + { + "cell_type": "markdown", + "id": "4286bd9d", + "metadata": {}, + "source": [ + "For sure we could come to the above list filtering by `kind` attribute, however in practice not all projects strictly use the `kind` attribute / it needs manual setting and maintenance and therefore is a bit less reliable.\n", + "\n", + "Our next stop is to list the SW components of those HW components. As SW components may be nested (i.e. apps on OS or partitions, etc.) we would simply \"flatten\" that hierarchy. We can create function `get_sw_components` that would recursively crawl down the SW components tree and give us back a flat list and test it on one component." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "70abf6f9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
  1. PhysicalComponent "Card 1 OS" (7b188ad0-0d82-4b2c-9913-45292e537871)
  2. PhysicalComponent "Camera Driver SWC" (74067f56-33bf-47f5-bb8b-f3604097f653)
  3. PhysicalComponent "App 1 SWC" (b80a6fcc-8d35-4675-a2e6-60efcbd61e27)
" + ], + "text/plain": [ + "[0] \n", + "[1] \n", + "[2] " + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def get_sw_components(sw_component):\n", + " subcmp = sw_component.components.by_nature(\"BEHAVIOR\")\n", + " for cmp in subcmp:\n", + " subcmp += get_sw_components(cmp)\n", + " return subcmp\n", + "\n", + "get_sw_components(cmps_with_sw.by_name(\"Compute Card 1\"))" + ] + }, + { + "cell_type": "markdown", + "id": "8086d62c", + "metadata": {}, + "source": [ + "Let's apply the `get_sw_components` function to the complete list of components with SW, `cmps_with_sw`, and turn the results into a table. In this table we'll serialize SW components into a semicolon-separated string:" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "faa00eb0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
hardware_componentdeployed_sw_components
0Sub PCPC 16
1Deploy Sub PCPC 17
2Compute Card 1Card 1 OS; Camera Driver SWC; App 1 SWC
3Compute Card 2Card 2 OS; App 2 SWC
4Network SwitchSwitch Firmware; Switch Configuration
5Camera AssemblyCamera Firmware
6ComputerMail client
7ISP NetworkMail server
\n", + "
" + ], + "text/plain": [ + " hardware_component deployed_sw_components\n", + "0 Sub PC PC 16\n", + "1 Deploy Sub PC PC 17\n", + "2 Compute Card 1 Card 1 OS; Camera Driver SWC; App 1 SWC\n", + "3 Compute Card 2 Card 2 OS; App 2 SWC\n", + "4 Network Switch Switch Firmware; Switch Configuration\n", + "5 Camera Assembly Camera Firmware\n", + "6 Computer Mail client\n", + "7 ISP Network Mail server" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def describe_hw_component_sw_allocations(hw_component):\n", + " return dict(\n", + " hardware_component=hw_component.name,\n", + " deployed_sw_components=\"; \".join(i.name for i in get_sw_components(hw_component))\n", + " )\n", + "\n", + "df = pd.DataFrame(list(map(describe_hw_component_sw_allocations, cmps_with_sw)))\n", + "df" + ] + }, + { + "cell_type": "markdown", + "id": "851b0540", + "metadata": {}, + "source": [ + "To complete the picture, we could also list all HW components that don't have software (so that a sanity check could be performed):" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "e48d4998", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
  1. PhysicalComponent "PC 1" (8a6d68c8-ac3d-4654-a07e-ada7adeed09f)
  2. PhysicalComponent "PC 3" (f5d7980d-e1e9-4515-8bb0-be7e80ac5839)
  3. PhysicalComponent "Vehicle" (a2c7f619-b38a-4b92-94a5-cbaa631badfc)
  4. PhysicalComponent "Vehicle" (b327d900-abd2-4138-a111-9ff0684739d8)
  5. PhysicalComponent "Equipment compartment" (3d68852d-fcc0-452c-af12-a2fbe22f81fa)
  6. PhysicalComponent "Server" (9137f463-7497-40c2-b20a-897158fdba9a)
  7. PhysicalComponent "Cooling Fan" (65e82f3f-c5b7-44c1-bfea-8e20bb0230be)
  8. PhysicalComponent "Sensor compartment" (3f416925-9d8a-4e9c-99f3-e912efb23d2f)
  9. PhysicalComponent "Router" (69bfe48d-78f0-4b1f-89c0-917dc2339ff9)
  10. PhysicalComponent "PA 1" (a0847e9c-8b82-407d-8143-e908e2db97a1)
" + ], + "text/plain": [ + "[0] \n", + "[1] \n", + "[2] \n", + "[3] \n", + "[4] \n", + "[5] \n", + "[6] \n", + "[7] \n", + "[8] \n", + "[9] " + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cmps_without_sw = cmps.filter(lambda i: not i.components.by_nature(\"BEHAVIOR\"))\n", + "cmps_without_sw" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/_sources/examples/03 Data Values.ipynb.txt b/_sources/examples/03 Data Values.ipynb.txt new file mode 100644 index 000000000..78dd996c9 --- /dev/null +++ b/_sources/examples/03 Data Values.ipynb.txt @@ -0,0 +1,601 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "1a1fe414", + "metadata": {}, + "source": [ + "# Data Types and Data Values\n", + "\n", + "This Jupyter notebook demonstrates how Data Values in Capella can be handled.\n", + "First, let's load the model again..." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "3e28d1c9", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Cannot load PVMT extension: ValueError: Provided model does not have a PropertyValuePkg\n", + "Property values are not available in this model\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import capellambse\n", + "path_to_model = \"../../../tests/data/melodymodel/5_2/Melody Model Test.aird\"\n", + "model = capellambse.MelodyModel(path_to_model, jupyter_untrusted=True)\n", + "model" + ] + }, + { + "cell_type": "markdown", + "id": "48ce0c1e", + "metadata": {}, + "source": [ + "As explained in the notebook 01, please ignore the warning about PVMT missing above." + ] + }, + { + "cell_type": "markdown", + "id": "7e68b88c-b4bc-4c20-a39f-48094c0eabdd", + "metadata": { + "tags": [] + }, + "source": [ + "## Example 1: Look into the Data package of the Logical Architecture\n", + "\n", + "Let's have a look into the data package on the Logical Architecture. It works the same with the other architectures, just replace the `oa` accordingly. We can see the defined classes, collections, enuemrations, and so on." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "da8b86b7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

Data (org.polarsys.capella.core.data.information:DataPkg)

applied_property_value_groups

(Empty list)

applied_property_values

(Empty list)

classes
  1. Class "Wand" (c710f1c2-ede6-444e-9e2b-0ff30d7fd040)
  2. Class "Class 2" (1adf8097-18f9-474e-b136-6c845fc6d9e9)
  3. Class "Branch" (2b34c799-769c-42f2-8a1b-4533dba209a0)
collections

(Empty list)

complex_values

(Empty list)

constraints

(Empty list)

description
diagrams
  1. [CDB] Harry's Wand (uuid: _kqdwsF9REe2rko4oG1H6IQ)
enumerations
  1. Enumeration "Wand Core" (546cd75a-c7ac-4e07-9d2d-8a1f93d82419)
  2. Enumeration "Wand Wood" (60314ce6-bc96-4b57-8965-7187241148ae)
filtering_criteria

(Empty list)

nameData
packages
  1. DataPkg "Wand Objects" (880af86d-6fac-4fba-a559-2fffd036fa9a)
parentLogicalArchitecture "Logical Architecture" (853cb005-cba0-489b-8fe3-bb694ad4543b)
progress_statusNOT_SET
property_value_groups

(Empty list)

property_values

(Empty list)

requirements

(Empty list)

summaryNone
traces

(Empty list)

unions

(Empty list)

uuid39e99d4a-a32c-4b70-b4b6-d03fec612e17
xtypeorg.polarsys.capella.core.data.information:DataPkg
" + ], + "text/plain": [ + "\n", + ".applied_property_value_groups = []\n", + ".applied_property_values = []\n", + ".classes = [0] \n", + " [1] \n", + " [2] \n", + ".collections = []\n", + ".complex_values = []\n", + ".constraints = []\n", + ".description = ''\n", + ".diagrams = [0] \n", + ".enumerations = [0] \n", + " [1] \n", + ".filtering_criteria = []\n", + ".name = 'Data'\n", + ".packages = [0] \n", + ".parent = \n", + ".progress_status = 'NOT_SET'\n", + ".property_value_groups = []\n", + ".property_values = []\n", + ".requirements = []\n", + ".summary = None\n", + ".traces = []\n", + ".unions = []\n", + ".uuid = '39e99d4a-a32c-4b70-b4b6-d03fec612e17'\n", + ".xtype = 'org.polarsys.capella.core.data.information:DataPkg'" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.la.data_package" + ] + }, + { + "cell_type": "markdown", + "id": "e01263c2", + "metadata": {}, + "source": [ + "For Enumerations we can see the Literals assigned to it. We can see both the literals that have been inherited by the specialized super class, and the literals that are defined within this model element (own_literals)." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "abcd8693", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

Wand Core (org.polarsys.capella.core.data.information.datatype:Enumeration)

applied_property_value_groups

(Empty list)

applied_property_values

(Empty list)

constraints

(Empty list)

description
diagrams

(Empty list)

filtering_criteria

(Empty list)

literals
  1. EnumerationLiteral "Unicorn Hair" (79263437-b45d-410d-a264-8aa28d7574d1)
  2. EnumerationLiteral "Dragon Heartstring" (6bb9876c-f3a7-4d59-a6d1-819372368fa0)
  3. EnumerationLiteral "Pheonix Feather" (492fd9ca-88cb-4e9d-b92e-df14a1c1543b)
  4. EnumerationLiteral "Thestral Tail-Hair" (1e73d13b-1c26-4537-834d-e467f993befe)
nameWand Core
owned_literals
  1. EnumerationLiteral "Unicorn Hair" (79263437-b45d-410d-a264-8aa28d7574d1)
  2. EnumerationLiteral "Dragon Heartstring" (6bb9876c-f3a7-4d59-a6d1-819372368fa0)
  3. EnumerationLiteral "Pheonix Feather" (492fd9ca-88cb-4e9d-b92e-df14a1c1543b)
  4. EnumerationLiteral "Thestral Tail-Hair" (1e73d13b-1c26-4537-834d-e467f993befe)
parentDataPkg "Data" (39e99d4a-a32c-4b70-b4b6-d03fec612e17)
progress_statusNOT_SET
property_value_groups

(Empty list)

property_values

(Empty list)

requirements

(Empty list)

subBackreference to Enumeration - omitted: can be slow to compute. Display this property directly to show.
summaryNone
superNone
traces

(Empty list)

uuid546cd75a-c7ac-4e07-9d2d-8a1f93d82419
xtypeorg.polarsys.capella.core.data.information.datatype:Enumeration
" + ], + "text/plain": [ + "\n", + ".applied_property_value_groups = []\n", + ".applied_property_values = []\n", + ".constraints = []\n", + ".description = ''\n", + ".diagrams = []\n", + ".filtering_criteria = []\n", + ".literals = [0] \n", + " [1] \n", + " [2] \n", + " [3] \n", + ".name = 'Wand Core'\n", + ".owned_literals = [0] \n", + " [1] \n", + " [2] \n", + " [3] \n", + ".parent = \n", + ".progress_status = 'NOT_SET'\n", + ".property_value_groups = []\n", + ".property_values = []\n", + ".requirements = []\n", + ".sub = ... # backreference to Enumeration - omitted: can be slow to compute\n", + ".summary = None\n", + ".super = None\n", + ".traces = []\n", + ".uuid = '546cd75a-c7ac-4e07-9d2d-8a1f93d82419'\n", + ".xtype = 'org.polarsys.capella.core.data.information.datatype:Enumeration'" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.la.data_package.enumerations[0]" + ] + }, + { + "cell_type": "markdown", + "id": "dfcbe9cf", + "metadata": {}, + "source": [ + "Let's do the same for a class. Again, we can see the properties of the super class and the properties of the own model element.\n", + "\n", + "![Harry's Wand](../_static/img/harrys_wand.png)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "a968821f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

Wand (org.polarsys.capella.core.data.information:Class)

applied_property_value_groups

(Empty list)

applied_property_values

(Empty list)

constraints

(Empty list)

description
diagrams

(Empty list)

filtering_criteria

(Empty list)

is_abstractFalse
is_finalFalse
is_primitiveFalse
nameWand
owned_properties
  1. Property "owner" (9b1f6d9c-58d6-4e5e-a0f1-822cb5440a51)
  2. Property "core" (32f70910-a1fd-4ec9-8d22-4c585ceaf7b9)
  3. Property "wood" (df884a71-e774-49e1-8aee-0a675179c647)
parentDataPkg "Data" (39e99d4a-a32c-4b70-b4b6-d03fec612e17)
progress_statusNOT_SET
properties
  1. Property "owner" (9b1f6d9c-58d6-4e5e-a0f1-822cb5440a51)
  2. Property "core" (32f70910-a1fd-4ec9-8d22-4c585ceaf7b9)
  3. Property "wood" (df884a71-e774-49e1-8aee-0a675179c647)
  4. Property "wood" (87f356eb-c79e-4155-b297-8d733685621c)
property_value_groups

(Empty list)

property_values

(Empty list)

realizations
  1. InformationRealization "" (793520e1-acbf-4f93-a219-587840aa5a3b)
realized_byBackreference to Class - omitted: can be slow to compute. Display this property directly to show.
realized_classes
  1. Class "SpecialTwist" (0fef2887-04ce-4406-b1a1-a1b35e1ce0f3)
requirements

(Empty list)

state_machines

(Empty list)

subBackreference to Class - omitted: can be slow to compute. Display this property directly to show.
summaryNone
superClass "Branch" (2b34c799-769c-42f2-8a1b-4533dba209a0)
traces

(Empty list)

uuidc710f1c2-ede6-444e-9e2b-0ff30d7fd040
visibility<VisibilityKind.UNSET: 1>
xtypeorg.polarsys.capella.core.data.information:Class
" + ], + "text/plain": [ + "\n", + ".applied_property_value_groups = []\n", + ".applied_property_values = []\n", + ".constraints = []\n", + ".description = ''\n", + ".diagrams = []\n", + ".filtering_criteria = []\n", + ".is_abstract = False\n", + ".is_final = False\n", + ".is_primitive = False\n", + ".name = 'Wand'\n", + ".owned_properties = [0] \n", + " [1] \n", + " [2] \n", + ".parent = \n", + ".progress_status = 'NOT_SET'\n", + ".properties = [0] \n", + " [1] \n", + " [2] \n", + " [3] \n", + ".property_value_groups = []\n", + ".property_values = []\n", + ".realizations = [0] \n", + ".realized_by = ... # backreference to Class - omitted: can be slow to compute\n", + ".realized_classes = [0] \n", + ".requirements = []\n", + ".state_machines = []\n", + ".sub = ... # backreference to Class - omitted: can be slow to compute\n", + ".summary = None\n", + ".super = \n", + ".traces = []\n", + ".uuid = 'c710f1c2-ede6-444e-9e2b-0ff30d7fd040'\n", + ".visibility = \n", + ".xtype = 'org.polarsys.capella.core.data.information:Class'" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.la.data_package.classes[0]" + ] + }, + { + "cell_type": "markdown", + "id": "b7bc5a40", + "metadata": {}, + "source": [ + "We can investigate the properties of a Class" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "56bb4b44", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

owner (org.polarsys.capella.core.data.information:Property)

applied_property_value_groups

(Empty list)

applied_property_values

(Empty list)

associationBackreference to Association - omitted: can be slow to compute. Display this property directly to show.
constraints

(Empty list)

default_valueNone
description
diagrams

(Empty list)

filtering_criteria

(Empty list)

is_abstractFalse
is_derivedFalse
is_orderedFalse
is_part_of_keyFalse
is_read_onlyFalse
is_staticFalse
is_uniqueFalse
kind<AggregationKind.UNSET: 1>
maxNone
max_cardLiteralNumericValue "": 1 (43e39098-ace4-47c4-8f1c-1df1986063e2)
minNone
min_cardLiteralNumericValue "": 1 (95d6a6e5-6442-408d-afb2-d8f7a24c5f56)
nameowner
null_valueNone
parentClass "Wand" (c710f1c2-ede6-444e-9e2b-0ff30d7fd040)
progress_statusNOT_SET
property_value_groups

(Empty list)

property_values

(Empty list)

requirements

(Empty list)

summaryNone
traces

(Empty list)

typeGenericElement "String" (b2f035e6-78c8-4dfd-99f0-bf4a40ea3e81)
uuid9b1f6d9c-58d6-4e5e-a0f1-822cb5440a51
visibility<VisibilityKind.UNSET: 1>
xtypeorg.polarsys.capella.core.data.information:Property
" + ], + "text/plain": [ + "\n", + ".applied_property_value_groups = []\n", + ".applied_property_values = []\n", + ".association = ... # backreference to Association - omitted: can be slow to compute\n", + ".constraints = []\n", + ".default_value = None\n", + ".description = ''\n", + ".diagrams = []\n", + ".filtering_criteria = []\n", + ".is_abstract = False\n", + ".is_derived = False\n", + ".is_ordered = False\n", + ".is_part_of_key = False\n", + ".is_read_only = False\n", + ".is_static = False\n", + ".is_unique = False\n", + ".kind = \n", + ".max = None\n", + ".max_card = \n", + ".min = None\n", + ".min_card = \n", + ".name = 'owner'\n", + ".null_value = None\n", + ".parent = \n", + ".progress_status = 'NOT_SET'\n", + ".property_value_groups = []\n", + ".property_values = []\n", + ".requirements = []\n", + ".summary = None\n", + ".traces = []\n", + ".type = \n", + ".uuid = '9b1f6d9c-58d6-4e5e-a0f1-822cb5440a51'\n", + ".visibility = \n", + ".xtype = 'org.polarsys.capella.core.data.information:Property'" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.la.data_package.classes[0].properties[0]" + ] + }, + { + "cell_type": "markdown", + "id": "36670ae2", + "metadata": {}, + "source": [ + "As you can see the `kind` attribute is `UNSET`. That means this property isn't modelled as an association. An example for a `COMPOSITION`:\n", + "\n", + "![Waypoint](../_static/img/waypoints.png)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "7ca2429b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

waypoints (org.polarsys.capella.core.data.information:Property)

applied_property_value_groups

(Empty list)

applied_property_values

(Empty list)

associationBackreference to Association - omitted: can be slow to compute. Display this property directly to show.
constraints

(Empty list)

default_valueNone
description
diagrams

(Empty list)

filtering_criteria

(Empty list)

is_abstractFalse
is_derivedFalse
is_orderedFalse
is_part_of_keyFalse
is_read_onlyFalse
is_staticFalse
is_uniqueFalse
kind<AggregationKind.COMPOSITION: 4>
maxNone
max_cardLiteralNumericValue "": inf (57d146cf-6e40-42f4-9413-1cd0240d1431)
minNone
min_cardLiteralNumericValue "": 1 (1df38231-5a0a-4c47-8c99-96119b8b8af8)
namewaypoints
null_valueNone
parentClass "Trajectory" (c3c96805-d6f6-4092-b9f4-df7970651cdc)
progress_statusNOT_SET
property_value_groups

(Empty list)

property_values

(Empty list)

requirements

(Empty list)

summaryNone
traces

(Empty list)

typeClass "Waypoint" (c89849fd-0643-4708-a4da-74c9ea9ca7b1)
uuid424efd65-eaa9-4220-b61b-fb3340dbc19a
visibility<VisibilityKind.UNSET: 1>
xtypeorg.polarsys.capella.core.data.information:Property
" + ], + "text/plain": [ + "\n", + ".applied_property_value_groups = []\n", + ".applied_property_values = []\n", + ".association = ... # backreference to Association - omitted: can be slow to compute\n", + ".constraints = []\n", + ".default_value = None\n", + ".description = ''\n", + ".diagrams = []\n", + ".filtering_criteria = []\n", + ".is_abstract = False\n", + ".is_derived = False\n", + ".is_ordered = False\n", + ".is_part_of_key = False\n", + ".is_read_only = False\n", + ".is_static = False\n", + ".is_unique = False\n", + ".kind = \n", + ".max = None\n", + ".max_card = \n", + ".min = None\n", + ".min_card = \n", + ".name = 'waypoints'\n", + ".null_value = None\n", + ".parent = \n", + ".progress_status = 'NOT_SET'\n", + ".property_value_groups = []\n", + ".property_values = []\n", + ".requirements = []\n", + ".summary = None\n", + ".traces = []\n", + ".type = \n", + ".uuid = '424efd65-eaa9-4220-b61b-fb3340dbc19a'\n", + ".visibility = \n", + ".xtype = 'org.polarsys.capella.core.data.information:Property'" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "prop = model.sa.all_classes.by_name(\"Trajectory\").properties[0]\n", + "prop" + ] + }, + { + "cell_type": "markdown", + "id": "7ab5f3a6", + "metadata": {}, + "source": [ + "The role name is exposed as the `name` attribute of the property. As you can see the only *navigable* role is `waypoints` and its min- and max-card are also accessible. The `Class` can be accessed via the `type` attribute and the `association` is there to receive information about the incoming role/property. Let's have a look at it:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "90c3cf8c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

waypoint association (org.polarsys.capella.core.data.information:Association)

applied_property_value_groups

(Empty list)

applied_property_values

(Empty list)

constraints

(Empty list)

description
diagrams

(Empty list)

filtering_criteria

(Empty list)

members
  1. Property "trajectory" (c0e5b34c-297e-4b3c-8957-58bbe4d36199)
namewaypoint association
navigable_members
  1. Property "waypoints" (424efd65-eaa9-4220-b61b-fb3340dbc19a)
parentDataPkg "Data" (814464a3-3278-48eb-b66c-e255ed11afa8)
progress_statusNOT_SET
property_value_groups

(Empty list)

property_values

(Empty list)

requirements

(Empty list)

roles
  1. Property "trajectory" (c0e5b34c-297e-4b3c-8957-58bbe4d36199)
  2. Property "waypoints" (424efd65-eaa9-4220-b61b-fb3340dbc19a)
source_roleProperty "trajectory" (c0e5b34c-297e-4b3c-8957-58bbe4d36199)
summaryFind waypoints and you will finish consistently.
traces

(Empty list)

uuid3d738685-83e8-45f9-ade2-d5bcc6de1a0c
xtypeorg.polarsys.capella.core.data.information:Association
" + ], + "text/plain": [ + "\n", + ".applied_property_value_groups = []\n", + ".applied_property_values = []\n", + ".constraints = []\n", + ".description = ''\n", + ".diagrams = []\n", + ".filtering_criteria = []\n", + ".members = [0] \n", + ".name = 'waypoint association'\n", + ".navigable_members = [0] \n", + ".parent = \n", + ".progress_status = 'NOT_SET'\n", + ".property_value_groups = []\n", + ".property_values = []\n", + ".requirements = []\n", + ".roles = [0] \n", + " [1] \n", + ".source_role = \n", + ".summary = 'Find waypoints and you will finish consistently.'\n", + ".traces = []\n", + ".uuid = '3d738685-83e8-45f9-ade2-d5bcc6de1a0c'\n", + ".xtype = 'org.polarsys.capella.core.data.information:Association'" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "prop.association" + ] + }, + { + "cell_type": "markdown", + "id": "19c3fffc", + "metadata": {}, + "source": [ + "An `Association` has `navigable_members` which can be at most 2 (the source and target roles) and a `source_role`. Whenever the `is Navigable` option is ticked in Capella the property element will appear underneath the target `Class` of the `Association`." + ] + }, + { + "cell_type": "markdown", + "id": "eb05ea54", + "metadata": {}, + "source": [ + "## Example 2: Complex Values (instances of Classes)\n", + "\n", + "Capella allows to create Complex Values which have the type of a class model element. Complex Values can contain Value Parts that instantiate the properties of the class. Let's have a look at Harry's wand:" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "77a5dc04", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

Harry's Wand (org.polarsys.capella.core.data.information.datavalue:ComplexValue)

applied_property_value_groups

(Empty list)

applied_property_values

(Empty list)

constraints

(Empty list)

description
diagrams

(Empty list)

filtering_criteria

(Empty list)

nameHarry's Wand
parentDataPkg "Wand Objects" (880af86d-6fac-4fba-a559-2fffd036fa9a)
progress_statusNOT_SET
property_value_groups

(Empty list)

property_values

(Empty list)

requirements

(Empty list)

summaryNone
traces

(Empty list)

typeClass "Wand" (c710f1c2-ede6-444e-9e2b-0ff30d7fd040)
uuid3a467d68-f53c-4d66-9d32-fe032a8cb2c5
value_parts
  1. ValuePart "": \n", + ".applied_property_value_groups = []\n", + ".applied_property_values = []\n", + ".constraints = []\n", + ".description = ''\n", + ".diagrams = []\n", + ".filtering_criteria = []\n", + ".is_abstract = False\n", + ".name = 'LiteralStringValue'\n", + ".parent = \n", + ".progress_status = 'NOT_SET'\n", + ".property_value_groups = []\n", + ".property_values = []\n", + ".requirements = []\n", + ".summary = None\n", + ".traces = []\n", + ".type = \n", + ".uuid = 'f7b00d88-cf53-4ae0-a0e6-bb2049b4bdea'\n", + ".value = 'Harry Potter'\n", + ".xtype = 'org.polarsys.capella.core.data.information.datavalue:LiteralStringValue' (c996225b-5b1f-4d53-83cb-2bc72597e8ad)
  2. ValuePart "": \n", + ".applied_property_value_groups = []\n", + ".applied_property_values = []\n", + ".constraints = []\n", + ".description = ''\n", + ".diagrams = []\n", + ".filtering_criteria = []\n", + ".name = 'EnumerationReference'\n", + ".parent = \n", + ".progress_status = 'NOT_SET'\n", + ".property_value_groups = []\n", + ".property_values = []\n", + ".requirements = []\n", + ".summary = None\n", + ".traces = []\n", + ".type = \n", + ".uuid = '3406b669-4572-44e9-b703-1e319c350e9b'\n", + ".value = \n", + ".xtype = 'org.polarsys.capella.core.data.information.datavalue:EnumerationReference' (66da894f-6261-47ac-9ad7-217db04671d2)
  3. ValuePart "": \n", + ".applied_property_value_groups = []\n", + ".applied_property_values = []\n", + ".constraints = []\n", + ".description = ''\n", + ".diagrams = []\n", + ".filtering_criteria = []\n", + ".name = 'EnumerationReference'\n", + ".parent = \n", + ".progress_status = 'NOT_SET'\n", + ".property_value_groups = []\n", + ".property_values = []\n", + ".requirements = []\n", + ".summary = None\n", + ".traces = []\n", + ".type = \n", + ".uuid = '9645687f-9485-45f0-a10b-01f8b9d24914'\n", + ".value = \n", + ".xtype = 'org.polarsys.capella.core.data.information.datavalue:EnumerationReference' (a10de770-c6de-43fc-8d9f-868efe5cd29f)
xtypeorg.polarsys.capella.core.data.information.datavalue:ComplexValue
" + ], + "text/plain": [ + "\n", + ".applied_property_value_groups = []\n", + ".applied_property_values = []\n", + ".constraints = []\n", + ".description = ''\n", + ".diagrams = []\n", + ".filtering_criteria = []\n", + ".name = \"Harry's Wand\"\n", + ".parent = \n", + ".progress_status = 'NOT_SET'\n", + ".property_value_groups = []\n", + ".property_values = []\n", + ".requirements = []\n", + ".summary = None\n", + ".traces = []\n", + ".type = \n", + ".uuid = '3a467d68-f53c-4d66-9d32-fe032a8cb2c5'\n", + ".value_parts = [0] \n", + " [1] \n", + " [2] \n", + ".xtype = 'org.polarsys.capella.core.data.information.datavalue:ComplexValue'" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.la.data_package.packages[0].complex_values[0]" + ] + }, + { + "cell_type": "markdown", + "id": "8e7b17c0", + "metadata": {}, + "source": [ + "and let's see what wood Harry's wand is made of:" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "0557c2a5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The owner of Harry's Wand is Harry Potter.\n", + "The core of Harry's Wand is Pheonix Feather.\n", + "The wood of Harry's Wand is Holly.\n" + ] + } + ], + "source": [ + "from capellambse.model.crosslayer.information import datavalue\n", + "\n", + "instance = model.la.data_package.packages[0].complex_values[0]\n", + "for value_part in instance.value_parts:\n", + " value = value_part.value.value\n", + " if isinstance(value, datavalue.EnumerationLiteral):\n", + " value = value.name\n", + "\n", + " print(f\"The {value_part.referenced_property.name} of {instance.name} is {value}.\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/_sources/examples/04 Intro to Jinja templating.ipynb.txt b/_sources/examples/04 Intro to Jinja templating.ipynb.txt new file mode 100644 index 000000000..fbbe8125e --- /dev/null +++ b/_sources/examples/04 Intro to Jinja templating.ipynb.txt @@ -0,0 +1,802 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Using capellambse with Jinja2\n", + "\n", + "Welcome to the py-capellambse jinja2 templating showcase. When using capella\n", + "for systems engineering you might want to generate documentation for your model\n", + "you can use M2DOC, one of capella's [addons] which we found too challenging or\n", + "you can use Jinja2 a richful templating language with high degree of freedom.\n", + "\n", + "This notebook will introduce you into writing jinja2 templates where you'll plant model\n", + "information and diagrams. Additonally we'll give a side-note on how to handle\n", + "unique identifiers professionally with PVMT and some hints onto how to use jinja\n", + "in a professional manner which could give you the option onto developping an\n", + "automated document generation system.\n", + "\n", + "With Jinja2 you are able to generate any text-based format(HTML, XML, CSV, LaTex,...)\n", + "but during this tutorial we will only generate .html files. The jinja2 syntax is\n", + "inspired by python. Check out their [docs]!\n", + "\n", + "[docs]: https://jinja2docs.readthedocs.io/en/stable/\n", + "[addons]: https://www.eclipse.org/capella/addons.html\n", + "\n", + "Below code loads the needed libraries and instantiates a test model:" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Cannot load PVMT extension: ValueError: Provided model does not have a PropertyValuePkg\n", + "Property values are not available in this model\n" + ] + } + ], + "source": [ + "import jinja2\n", + "import capellambse\n", + "\n", + "from IPython.core.display import HTML\n", + "\n", + "path_to_model = \"../../../tests/data/melodymodel/5_0/Melody Model Test.aird\"\n", + "model = capellambse.MelodyModel(path_to_model, jupyter_untrusted=True)\n", + "env = jinja2.Environment()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In the following we want to make a template to document all modelled actors from\n", + "the logical layer. Therefore we define a template string where we iterate over\n", + "all actors and plant the name, uuid and description into it.\n", + "\n", + "*Hint: Make sure that you know of capella's [metamodel] as we are implementing the\n", + "capellambse.layers as close as possible to it while being as efficient and pythonic\n", + "we can be currently. This knowledge can shorten used statements in the template immensely!*\n", + "\n", + "[metamodel]: https://dsd-dbs.github.io/py-capellambse/start/intro-to-api.html" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "

Actor definitions

\n", + "\n", + "

Prof. A. P. W. B. Dumbledore

\n", + "

Actor definition

\n", + "

UUID: 08e02248-504d-4ed8-a295-c7682a614f66

\n", + "

Principal of Hogwarts, wearer of the elder wand and greatest mage of all time.

\n", + "

\n", + "\n", + "

Prof. S. Snape

\n", + "

Actor definition

\n", + "

UUID: 6f463eed-c77b-4568-8078-beec0536f243

\n", + "

Good guy and teacher of brewing arts.

\n", + "

\n", + "\n", + "

Harry J. Potter

\n", + "

Actor definition

\n", + "

UUID: a8c46457-a702-41c4-a971-c815c4c5a674

\n", + "

\n", + "\n", + "

R. Weasley

\n", + "

Actor definition

\n", + "

UUID: ff7b8672-84db-4b93-9fea-22a410907fb1

\n", + "

\n", + "\n", + "

Voldemort

\n", + "

Actor definition

\n", + "

UUID: 3e0ee19f-0e3f-49d4-ae99-29bd4a3260c5

\n", + "

\n", + "\n", + "

Multiport

\n", + "

Actor definition

\n", + "

UUID: b3888dad-a870-4b8b-97d4-0ddb83ef9251

\n", + "

\n" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "templ = \"\"\"\n", + "

Actor definitions

\n", + "{% for actor in model.la.all_components.by_is_actor(True) %}\n", + "

{{ actor.name }}

\n", + "

Actor definition

\n", + "

UUID: {{ actor.uuid }}

\n", + "

{{ actor.description }}

\n", + "{% endfor %}\n", + "\"\"\"\n", + "\n", + "HTML(env.from_string(templ).render(model=model))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As an extra: We don't use the UUID from capella in our documents. If you still\n", + "need an identifier, in the following it's explained how we are doing it:\n", + "\n", + "With the capella PVMT, one of the various capella addons, you can make property\n", + "value groups and then set arbitrary values with these. Capellambse is able to recognize\n", + "the pvmt extension and gives read and write access. In our workflows we are maintaining\n", + "an ID database for all model elements. If that is done you can access pvmt attributes\n", + "like:\n", + "\n", + "```html\n", + "{{ ... }}\n", + "

ID: {{ actor.pvmt[\"Group.Identification.MY MODEL ID\"] }}

\n", + "{{ ... }}\n", + "```\n", + "\n", + "For a PVMT showcase look into [TODO: pvmt-showcase notebook]." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Filters and object manipulation\n", + "\n", + "Now to step up our templating-game, we'll bring in more complexity.\n", + "We want a template that documents functional context of all actors. For that\n", + "iff the actor has a non-empty functions attribute we make a table with columns\n", + "for function's uid, name, description and `FunctionalExchange`s.\n", + "\n", + "We can define variables in the template via the set statement. Furthermore\n", + "the builtin jinja [filters] already give much power for object manipulation during\n", + "rendering. Here we use map(.) to create `FunctionalExchange` iterators and sum these\n", + "up into one large list that stores all `FunctionalExchange`s that have an an actor\n", + "as either source or target. In the table for-loop we then filter on this lookup\n", + "container and set outgoing and incoming `FunctionalExchange`s that we need for\n", + "the last column.\n", + "\n", + "The jupyter environment is great for writing templates b/c you can investigate\n", + "possible attributes of objects right away in another cell.\n", + "\n", + "*Hint: You can define custom filter-functions and add them to the Environment.filters.*\n", + "\n", + "[filters]: https://jinja.palletsprojects.com/en/3.0.x/templates/#builtin-filters" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "

Actor definitions

\n", + "\n", + "\n", + "

Harry J. Potter

\n", + "

Actor definition

\n", + "

\n", + "

Actor functions

\n", + " \n", + "

The table below identifies functions of Harry J. Potter.

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
IDFunctionDescriptionInvolved Subsystems
aa9931e3-116c-461e-8215-6b9fdbdd4a1bkill He Who Must Not Be NamedLearning
\n", + "

Functions of Harry J. Potter

\n", + " \n", + "\n", + "

Prof. A. P. W. B. Dumbledore

\n", + "

Actor definition

\n", + "

Principal of Hogwarts, wearer of the elder wand and greatest mage of all time.

\n", + "

\n", + "

Actor functions

\n", + " \n", + "

The table below identifies functions of Prof. A. P. W. B. Dumbledore.

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
IDFunctionDescriptionInvolved Subsystems
f708bc29-d69f-42a0-90cc-11fc01054cd0manage the school
beaf5ba4-8fa9-4342-911f-0266bb29be45advise Harry
\n", + "

Functions of Prof. A. P. W. B. Dumbledore

\n", + " \n", + "\n", + "

Prof. S. Snape

\n", + "

Actor definition

\n", + "

Good guy and teacher of brewing arts.

\n", + "

\n", + "

Actor functions

\n", + " \n", + "

The table below identifies functions of Prof. S. Snape.

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
IDFunctionDescriptionInvolved Subsystems
a7acb298-d14b-4707-a419-fea272434541TeachingTeacher Responsibilities
4a2a7f3c-d223-4d44-94a7-50dd2906a70cmaintain a layer of defense for the Sorcerer's Stone
\n", + "

Functions of Prof. S. Snape

\n", + " \n", + "\n", + "

Multiport

\n", + "

Actor definition

\n", + "

\n", + "

Actor functions

\n", + " \n", + "

The table below identifies functions of Multiport.

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
IDFunctionDescriptionInvolved Subsystems
9c1885f5-fac7-48fd-9d54-a11092508867LAF 1C 5
\n", + "

Functions of Multiport

\n", + " \n", + "\n", + "

Voldemort

\n", + "

Actor definition

\n", + "

\n", + "

Actor functions

\n", + " \n", + "

No actor functions were identified.

\n", + " \n", + "\n", + "

R. Weasley

\n", + "

Actor definition

\n", + "

\n", + "

Actor functions

\n", + " \n", + "

The table below identifies functions of R. Weasley.

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
IDFunctionDescriptionInvolved Subsystems
c1a42acc-1f53-42bb-8404-77a5c08c414bassist Harry
edbd1ad4-31c0-4d53-b856-3ffa60e0e99bbreak school rulesPunishment
\n", + "

Functions of R. Weasley

\n", + " \n" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "templ1 = \"\"\"\n", + "

Actor definitions

\n", + "{% set fexs = model.la.actor_exchanges.map(\"func_exchanges\") %}\n", + "{% for actor in model.la.all_actors %}\n", + "

{{ actor.name }}

\n", + "

Actor definition

\n", + "

{{ actor.description }}

\n", + "

Actor functions

\n", + " {% if actor.functions %}\n", + "

The table below identifies functions of {{ actor.name }}.

\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " {% for fnc in actor.functions %}\n", + " {% set outs = fexs.by_source.owner(fnc) %}\n", + " {% set ins = fexs.by_target.owner(fnc) %}\n", + " {% set subs = (ins + outs) | map(attribute=\"owner.name\") | unique | sort %}\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " {% endfor %}\n", + " \n", + "
IDFunctionDescriptionInvolved Subsystems
{{ fnc.uuid }}{{ fnc.name }}{{ fnc.description }}{{ subs | join(', ') }}
\n", + "

Functions of {{ actor.name }}

\n", + " {% else %}\n", + "

No actor functions were identified.

\n", + " {% endif %}\n", + "{% endfor %}\n", + "\"\"\"\n", + "HTML(env.from_string(templ1).render(model=model))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Beautiful SVG diagrams\n", + "\n", + "Finally we will render a template that displays a diagram. There are many ways\n", + "to do this and with jinja2 you have full control. We like our figures inside\n", + "tables such that a caption can be displayed" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Unknown global filter 'hide.sequencing.information.filter'\n", + "Unknown global filter 'ModelExtensionFilter'\n", + "Unknown global filter 'hide.simplified.diagram.based.component.exchanges.filter'\n", + "Unknown global filter 'hide.simplified.oriented.grouped.component.exchanges.filter'\n", + "Unknown global filter 'hide.simplified.group.of.component.exchanges.filter'\n" + ] + }, + { + "data": { + "text/html": [ + "

Hogwarts

\n", + "

This instance is the mighty Hogwarts. Do you really need a description? Then maybe read the books or watch atleast the epic movies.

\n", + "\n", + "\n", + " \n", + " \n", + "
Figure 1: [LAB] Wizzard Education
LFHogwartsproduce GreatWizardsprotectStudentsagainst theDeath EatersCampusSchooleducate WizardsWhomping Willowdefend thesurrounding areaagainst IntrudersProf. A. P. W. B.Dumbledoremanage theschooladviseHarryProf. S. SnapeTeachingmaintain alayer ofdefense fortheSorcerer'sStoneHarry J. Potterkill He WhoMust Not BeNamedR. Weasleyassist Harrybreak schoolruleswizardryHeadmasterResponsibilitiesTeacherResponsibilitiesHelp for HarryKnowledgePunishmentLearningeducate & maturefriendshipassistanceCarepunisheducate
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "templ = \"\"\"\\\n", + "

{{ component.name }}

\n", + "{{ component.description }}\n", + "\n", + " \n", + " \n", + "
Figure {{ fig_id }}: {{ fig_caption | e }}
{{ figure.as_svg | safe }}
\n", + "\"\"\"\n", + "diagram = model.diagrams.by_name(\"[LAB] Wizzard Education\")\n", + "rendered = env.from_string(templ).render(\n", + " component=model.search(\"LogicalComponent\").by_name(\"Hogwarts\"),\n", + " fig_id=1,\n", + " fig_caption=diagram.name,\n", + " figure=diagram,\n", + ")\n", + "HTML(rendered)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "*Hint: Take notice of the [jinja.Environment]. Instead of handing the figure_table-markup\n", + "over in the rendering call you could also set an insert_figure_as_table function,\n", + "which you ideally defined before, in the environment globals or you can define\n", + "[macros] right in the template. These tools can automate repetitive content placement.*\n", + "\n", + "[jinja.Environment]: https://jinja.palletsprojects.com/en/3.0.x/api/#jinja2.Environment\n", + "[macros]: https://jinja.palletsprojects.com/en/3.0.x/templates/#macros" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Template inheritance\n", + "\n", + "The last cell will present a routine where a full .html document is generated.\n", + "Earlier rendered content were HTML-fragments to be precise. On top you can see\n", + "a showcase on jinja's [template-inheritance] functionality. The special DictLoader\n", + "gives support for finding the base template called \"template.html\". This was just\n", + "needed because we are dealing with content in memory and didn't create template.html\n", + "in our FileSystem before. Per default jinja is using the FileSystemLoader when\n", + "creating an Environment. It's not a bad idea to check the [Loaders] they have, if\n", + "you want to understand how template loading is working and/or plan on developing\n", + "a pipeline system for document distribution.\n", + "\n", + "[template-inheritance]: https://jinja.palletsprojects.com/en/3.0.x/templates/#template-inheritance\n", + "[Loaders]: https://jinja.palletsprojects.com/en/3.0.x/api/#loaders" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + "\n", + "

Hogwarts

\n", + "

This instance is the mighty Hogwarts. Do you really need a description? Then maybe read the books or watch atleast the epic movies.

\n", + "\n", + "\n", + " \n", + " \n", + "
Figure 1: [LAB] Wizzard Education
LFHogwartsproduce GreatWizardsprotectStudentsagainst theDeath EatersCampusSchooleducate WizardsWhomping Willowdefend thesurrounding areaagainst IntrudersProf. A. P. W. B.Dumbledoremanage theschooladviseHarryProf. S. SnapeTeachingmaintain alayer ofdefense fortheSorcerer'sStoneHarry J. Potterkill He WhoMust Not BeNamedR. Weasleyassist Harrybreak schoolruleswizardryHeadmasterResponsibilitiesTeacherResponsibilitiesHelp for HarryKnowledgePunishmentLearningeducate & maturefriendshipassistanceCarepunisheducate
\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fig_templ = \"\".join(\n", + " (\n", + " '{% extends \"template.html\" %}',\n", + " \"{% block content %}\",\n", + " templ,\n", + " \"{% endblock %}\",\n", + " )\n", + ")\n", + "final_templ = \"\"\"\n", + "\n", + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + "\n", + " {% block content %}\n", + " {% endblock %}\n", + "\n", + "\n", + "\"\"\"\n", + "\n", + "env = jinja2.Environment(loader=jinja2.DictLoader({\"template.html\": final_templ}))\n", + "rendered = env.from_string(fig_templ).render(\n", + " component=model.search(\"LogicalComponent\").by_name(\"Hogwarts\"),\n", + " fig_id=1,\n", + " fig_caption=diagram.name,\n", + " figure=diagram,\n", + ")\n", + "HTML(rendered)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + }, + "vscode": { + "interpreter": { + "hash": "e7370f93d1d0cde622a1f8e1c04877d8463912d04d973331ad4851f04de6915a" + } + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/_sources/examples/05 Introduction to Libraries.ipynb.txt b/_sources/examples/05 Introduction to Libraries.ipynb.txt new file mode 100644 index 000000000..f679d16b9 --- /dev/null +++ b/_sources/examples/05 Introduction to Libraries.ipynb.txt @@ -0,0 +1,254 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Introduction to Libraries\n", + "\n", + "This notebook illustrates the use of Capella Libraries. When trying to load a\n", + "model that uses a library, you may encounter an error similar to this:" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MissingResourceLocationError: 'Library Test'\n" + ] + } + ], + "source": [ + "import capellambse\n", + "path_to_model = \"../../../tests/data/Library Project/Library Project.aird\"\n", + "\n", + "try:\n", + " capellambse.MelodyModel(path_to_model, jupyter_untrusted=True)\n", + "except Exception as err:\n", + " print(f\"{type(err).__name__}: {err}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This tells us the name that was given to the library: `Library Test`. So, we need to define a resource location with that name. As there can be arbitrarily many resource locations (i.e. linked libraries) with arbitrary names given to them, these locations are handed over in a Python `dict`.\n", + "\n", + "There are three ways of defining a resource location:\n", + "\n", + "1. A simple `str` containing only a path or URL, similar to the first positional argument of `MelodyModel`.\n", + "2. A nested dictionary with a `path` key, as well as other keys needed to find and access that resource. These may include `subdir` or `username` and `password`.\n", + "3. A constructed `FileHandler` object.\n", + "\n", + "The following cell shows a concrete example of each of them." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# Simple `str`\n", + "resources = {\n", + " \"Library Test\": \"/data/models/Library Test\",\n", + "}\n", + "\n", + "# Nested `dict`\n", + "resources = {\n", + " \"Library Test\": {\n", + " \"path\": \"https://raw.githubusercontent.com/DSD-DBS/py-capellambse/master/tests/data/Library%20Test\",\n", + " # More options can be added here if necessary, e.g.:\n", + " # \"username\": \"demouser\",\n", + " # \"password\": \"super secret passphrase\",\n", + " }\n", + "}\n", + "\n", + "# `FileHandler` object\n", + "# (Be aware that constructing a ´FileHandler` may already involve network access,\n", + "# for example cloning a remote git repository into a local cache.)\n", + "lib_handler = capellambse.get_filehandler(\n", + " \"git+https://github.com/DSD-DBS/py-capellambse.git\",\n", + " subdir=\"tests/data/Library Test\",\n", + " revision=\"master\"\n", + " # More options can be added here as well, e.g.:\n", + " # username=\"demouser\",\n", + " # password=\"super secret passphrase\",\n", + ")\n", + "resources = {\"Library Test\": lib_handler}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Equipped with this `resources` dictionary, we can now try to load the model again:" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Cannot load PVMT extension: ValueError: Provided model does not have a PropertyValuePkg\n", + "Property values are not available in this model\n" + ] + } + ], + "source": [ + "model = capellambse.MelodyModel(path_to_model, resources=resources, jupyter_untrusted=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If you receive more `MissingResourceLocationError`s, add them to the same `resources` dictionary and pass them to the `MelodyModel` as well." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Once you no longer receive errors during loading, you can use the model as normal." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
  1. [CDB] Library Product (uuid: _q-c-0KN2EeyJNLcTD9ngpQ)
  2. [LAB] E-Commerce (uuid: _SMS4sKFFEeyn0YWM8vjd5w)
" + ], + "text/plain": [ + "[0] \n", + "[1] " + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.diagrams" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Unknown global filter 'hide.sequencing.information.filter'\n", + "Unknown global filter 'hide.simplified.diagram.based.component.exchanges.filter'\n", + "Unknown global filter 'hide.simplified.oriented.grouped.component.exchanges.filter'\n", + "Unknown global filter 'ModelExtensionFilter'\n", + "Unknown global filter 'hide.simplified.group.of.component.exchanges.filter'\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.diagrams.by_name(\"[LAB] E-Commerce\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Common pitfalls\n", + "\n", + "In order for `capellambse` to be able to find your elements, ensure that you:\n", + "\n", + "1. Created a replicable element collection (REC) in the Capella Library. To do that, right-click the element in the library, and choose \"REC / RPL\" > \"Create REC\".\n", + "2. Have instantiated the REC as a so-called Replica (RPL) in your primary project. For this, right-click any element in your project and choose \"REC / RPL\" > \"Instantiate RPL from REC\".\n", + "\n", + "For more information, watch this [short video about REC / RPL](https://youtu.be/h-ax61eVlxM)." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Logical System\n", + "E-Commerce\n", + "Truck Company\n", + "Client\n" + ] + } + ], + "source": [ + "for component in model.la.all_components:\n", + " print(component.name)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Saving a model\n", + "\n", + "You can save the model as usual by calling `model.save()`. However, **this will only save the primary model**. Modifications to elements that are defined only in a library will be lost.\n", + "\n", + "This is normally not a problem when following the standard REC / RPL based workflow, as the definitions of those elements will be copied to and modified in the primary model.\n", + "\n", + "In order to modify elements in one of the used libraries, you can load the library itself as a model. This allows you to apply any needed modifications and then save the library. Afterwards, the updated library can be used in the `resources` of other models." + ] + } + ], + "metadata": { + "interpreter": { + "hash": "e5607734f15d1b90b8506e690cd35fc527f703262c75faee6ce3cf6c6d2ff5b2" + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/_sources/examples/06 Introduction to Requirement access and management.ipynb.txt b/_sources/examples/06 Introduction to Requirement access and management.ipynb.txt new file mode 100644 index 000000000..986ff719a --- /dev/null +++ b/_sources/examples/06 Introduction to Requirement access and management.ipynb.txt @@ -0,0 +1,686 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "7bcee230", + "metadata": {}, + "source": [ + "# Introduction to Requirement access and management\n", + "\n", + "Welcome to the ReqIF extension Showcase notebook. This notebook will show you some basic (and not so basic) things that you can get done using this library.\n", + "\n", + "The below code loads the library and one of the test models:" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "a52777dd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import capellambse\n", + "\n", + "path_to_model = \"../../../tests/data/melodymodel/5_0/Melody Model Test.aird\"\n", + "model = capellambse.MelodyModel(path_to_model, jupyter_untrusted=True)\n", + "model" + ] + }, + { + "cell_type": "markdown", + "id": "d8442183", + "metadata": {}, + "source": [ + "You can access a lookup for all requirements defined in a specific layer." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "42a46a49", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
  1. Requirement "TestReq1" (3c2d312c-37c9-41b5-8c32-67578fa52dc3)
  2. Requirement "TypedReq2" (0a9a68b1-ba9a-4793-b2cf-4448f0b4b8cc)
  3. Requirement "TestReq3" (79291c33-5147-4543-9398-9077d582576d)
  4. Requirement "TypedReq1" (85d41db2-9e17-438b-95cf-49342452ddf3)
  5. Requirement "TestReq" (1092f69a-5f3a-4fe6-a8fd-b2dffde90650)
" + ], + "text/plain": [ + "[0] \n", + "[1] \n", + "[2] \n", + "[3] \n", + "[4] " + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.oa.all_requirements" + ] + }, + { + "cell_type": "markdown", + "id": "904c842b", + "metadata": {}, + "source": [ + "Have a look at all of the available attributes for a Requirement ModelElement:" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "cb0a5b75", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

TestReq1 (Requirements:Requirement)

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applied_property_values

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  1. BooleanValueAttribute "AttrDef" (9c692405-b8aa-4caa-b988-51d27db5cd1b)
  2. DateValueAttribute "AttrDef" (b97c09b5-948a-46e8-a656-69d764ddce7d)
  3. IntegerValueAttribute "AttrDef" (85dfd42c-7f6e-4236-a181-bdd784040431)
  4. RealValueAttribute "AttrDef" (d2231d14-854d-4625-b48b-6cf1c2554367)
  5. StringValueAttribute "AttrDef" (ee8a69ef-61b9-4db9-9a0f-628e5d4704e1)
  6. BooleanValueAttribute "None" (dcb8614e-2d1c-4cb3-aa0c-667a297e7489)
chapter_name2
constraints

(Empty list)

descriptionThis is a test requirement of kind 1.
diagrams

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filtering_criteria

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foreign_id1
identifierREQTYPE-1
long_name1
nameTestReq1
ownerFolder "Folder" (e16f5cc1-3299-43d0-b1a0-82d31a137111)
parentFolder "Folder" (e16f5cc1-3299-43d0-b1a0-82d31a137111)
prefix3
progress_statusNOT_SET
property_value_groups

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property_values

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pvmt<capellambse.extensions.pvmt.PropertyValueProxy object at 0x7f3afe4e68d0>
related
  1. Entity "Weather" (4bf0356c-89dd-45e9-b8a6-e0332c026d33)
  2. SystemFunction "Sysexfunc" (00e7b925-cf4c-4cb0-929e-5409a1cd872b)
  3. Requirement "TypedReq1" (85d41db2-9e17-438b-95cf-49342452ddf3)
  4. LogicalComponent "Hogwarts" (0d2edb8f-fa34-4e73-89ec-fb9a63001440)
relations
  1. CapellaIncomingRelation "Controlling the weather" (078b2c69-4352-4cf9-9ea5-6573b75e5eec)
  2. CapellaIncomingRelation "Test req" (24c824ef-b187-4725-a051-a68707e82d70)
  3. InternalRelation "None" (7de4c1a5-e106-4171-902a-502b816b60b0)
  4. CapellaOutgoingRelation "None" (57033242-3766-4961-8091-ce3d9326ed67)
requirements
  1. Entity "Weather" (4bf0356c-89dd-45e9-b8a6-e0332c026d33)
  2. SystemFunction "Sysexfunc" (00e7b925-cf4c-4cb0-929e-5409a1cd872b)
  3. Requirement "TypedReq1" (85d41db2-9e17-438b-95cf-49342452ddf3)
  4. LogicalComponent "Hogwarts" (0d2edb8f-fa34-4e73-89ec-fb9a63001440)
summaryNone
text

Test requirement 1 really l o n g text that is way too long to display here as that

\n", + "\n", + "

< > " '

\n", + "\n", + "
    \n", + "\t
  • This is a list
    • \n", + "\t
  • an unordered one
    • \n", + "
\n", + "\n", + "
    \n", + "\t
  1. Ordered list
    2. \n", + "\t
  2. Ok
    3. \n", + "
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typeRequirementType "ReqType" (db47fca9-ddb6-4397-8d4b-e397e53d277e)
uuid3c2d312c-37c9-41b5-8c32-67578fa52dc3
xtypeRequirements:Requirement
" + ], + "text/plain": [ + "\n", + ".applied_property_value_groups = []\n", + ".applied_property_values = []\n", + ".attributes = [0] \n", + " [1] \n", + " [2] \n", + " [3] \n", + " [4] \n", + " [5] \n", + ".chapter_name = '2'\n", + ".constraints = []\n", + ".description = 'This is a test requirement of kind 1.'\n", + ".diagrams = []\n", + ".filtering_criteria = []\n", + ".foreign_id = 1\n", + ".identifier = 'REQTYPE-1'\n", + ".long_name = '1'\n", + ".name = 'TestReq1'\n", + ".owner = \n", + ".parent = \n", + ".prefix = '3'\n", + ".progress_status = 'NOT_SET'\n", + ".property_value_groups = []\n", + ".property_values = []\n", + ".pvmt = \n", + ".related = [0] \n", + " [1] \n", + " [2] \n", + " [3] \n", + ".relations = [0] to (078b2c69-4352-4cf9-9ea5-6573b75e5eec)>\n", + " [1] to (24c824ef-b187-4725-a051-a68707e82d70)>\n", + " [2] to (7de4c1a5-e106-4171-902a-502b816b60b0)>\n", + " [3] to (57033242-3766-4961-8091-ce3d9326ed67)>\n", + ".requirements = [0] \n", + " [1] \n", + " [2] \n", + " [3] \n", + ".summary = None\n", + ".text = Markup('

Test requirement 1 really l o n g text that is way too long to display here as that

\\n\\n

< > " '

\\n\\n
    \\n\\t
  • This is a list
    • \\n\\t
  • an unordered one
    • \\n
\\n\\n
    \\n\\t
  1. Ordered [...]\n", + ".traces = []\n", + ".type = \n", + ".uuid = '3c2d312c-37c9-41b5-8c32-67578fa52dc3'\n", + ".xtype = 'Requirements:Requirement'" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.oa.all_requirements[0]" + ] + }, + { + "cell_type": "markdown", + "id": "896e3633", + "metadata": {}, + "source": [ + "## Filtering for requirements by type\n", + "\n", + "You probably know about typing of your Requirements. You can have a view of all requirement type folders directly on a specific layer and see the stored requirement_types:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "8dad0bed", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

    CapellaTypesFolder (CapellaRequirements:CapellaTypesFolder)

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    (Empty list)

    applied_property_values

    (Empty list)

    constraints

    (Empty list)

    data_type_definitions
    1. DataTypeDefinition "DataTypeDef" (3b7ec38a-e26a-4c23-9fa3-275af3f629ee)
    2. EnumerationDataTypeDefinition "EnumDataTypeDef" (637caf95-3229-4607-99a0-7d7b990bc97f)
    descriptionNone
    diagrams

    (Empty list)

    filtering_criteria

    (Empty list)

    identifierNone
    long_nameTypes
    module_types
    1. ModuleType "ModuleType" (a67e7f43-4b49-425c-a6a7-d44e1054a488)
    nameNone
    parentOperationalAnalysis "Operational Analysis" (ddbef16d-ddb9-4162-934c-f1e40e6f8bed)
    prefixNone
    progress_statusNOT_SET
    property_value_groups

    (Empty list)

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    (Empty list)

    pvmt<capellambse.extensions.pvmt.PropertyValueProxy object at 0x7f3ad72c8f50>
    relation_types
    1. RelationType "RelationType" (f1aceb81-5f70-4469-a127-94830eb9be04)
    requirement_types
    1. RequirementType "ReqType" (db47fca9-ddb6-4397-8d4b-e397e53d277e)
    requirements

    (Empty list)

    summaryNone
    traces

    (Empty list)

    typeNone
    uuid67bba9cf-953c-4f0b-9986-41991c68d241
    xtypeCapellaRequirements:CapellaTypesFolder
    " + ], + "text/plain": [ + "\n", + ".applied_property_value_groups = []\n", + ".applied_property_values = []\n", + ".constraints = []\n", + ".data_type_definitions = [0] \n", + " [1] \n", + ".description = None\n", + ".diagrams = []\n", + ".filtering_criteria = []\n", + ".identifier = None\n", + ".long_name = 'Types'\n", + ".module_types = [0] \n", + ".name = None\n", + ".parent = \n", + ".prefix = None\n", + ".progress_status = 'NOT_SET'\n", + ".property_value_groups = []\n", + ".property_values = []\n", + ".pvmt = \n", + ".relation_types = [0] \n", + ".requirement_types = [0] \n", + ".requirements = []\n", + ".summary = None\n", + ".traces = []\n", + ".type = None\n", + ".uuid = '67bba9cf-953c-4f0b-9986-41991c68d241'\n", + ".xtype = 'CapellaRequirements:CapellaTypesFolder'" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.oa.requirement_types_folders[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "28c463c1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

    RequirementType (Requirements:RequirementType)

    applied_property_value_groups

    (Empty list)

    applied_property_values

    (Empty list)

    attribute_definitions
    1. AttributeDefinition "AttrDef" (682bd51d-5451-4930-a97e-8bfca6c3a127)
    2. AttributeDefinitionEnumeration "AttrDefEnum" (c316ab07-c5c3-4866-a896-92e34733055c)
    3. AttributeDefinitionEnumeration "MultiEnum" (f31d4dd3-99f7-41d1-b1ce-f07b20d26eac)
    4. AttributeDefinition "version" (0bd40628-10a5-451e-86da-187c93bc3b10)
    constraints

    (Empty list)

    descriptionNone
    diagrams

    (Empty list)

    filtering_criteria

    (Empty list)

    identifierNone
    long_nameReqType
    nameNone
    ownerCapellaTypesFolder "Types" (67bba9cf-953c-4f0b-9986-41991c68d241)
    parentCapellaTypesFolder "Types" (67bba9cf-953c-4f0b-9986-41991c68d241)
    prefixNone
    progress_statusNOT_SET
    property_value_groups

    (Empty list)

    property_values

    (Empty list)

    pvmt<capellambse.extensions.pvmt.PropertyValueProxy object at 0x7f3ad72f7910>
    requirements

    (Empty list)

    summaryNone
    traces

    (Empty list)

    typeNone
    uuiddb47fca9-ddb6-4397-8d4b-e397e53d277e
    xtypeRequirements:RequirementType
    " + ], + "text/plain": [ + "\n", + ".applied_property_value_groups = []\n", + ".applied_property_values = []\n", + ".attribute_definitions = [0] \n", + " [1] \n", + " [2] \n", + " [3] \n", + ".constraints = []\n", + ".description = None\n", + ".diagrams = []\n", + ".filtering_criteria = []\n", + ".identifier = None\n", + ".long_name = 'ReqType'\n", + ".name = None\n", + ".owner = \n", + ".parent = \n", + ".prefix = None\n", + ".progress_status = 'NOT_SET'\n", + ".property_value_groups = []\n", + ".property_values = []\n", + ".pvmt = \n", + ".requirements = []\n", + ".summary = None\n", + ".traces = []\n", + ".type = None\n", + ".uuid = 'db47fca9-ddb6-4397-8d4b-e397e53d277e'\n", + ".xtype = 'Requirements:RequirementType'" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "reqtype = model.oa.requirement_types_folders[0].requirement_types[0]\n", + "reqtype" + ] + }, + { + "cell_type": "markdown", + "id": "62baecda", + "metadata": {}, + "source": [ + "Now we actually want to filter the requirements by this type with name 'ReqType'. Very original name, we know. You wouldn't really see the filtering effect since all requirements in the oa layer are of that type. So let us create one new requirement dynamically:" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "2d985277", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

    New showcase req1 (Requirements:Requirement)

    applied_property_value_groups

    (Empty list)

    applied_property_values

    (Empty list)

    attributes

    (Empty list)

    chapter_nameNone
    constraints

    (Empty list)

    descriptionNone
    diagrams

    (Empty list)

    filtering_criteria

    (Empty list)

    foreign_idNone
    identifierNone
    long_nameNone
    nameNew showcase req1
    ownerCapellaModule "Test Module" (f8e2195d-b5f5-4452-a12b-79233d943d5e)
    parentCapellaModule "Test Module" (f8e2195d-b5f5-4452-a12b-79233d943d5e)
    prefixNone
    progress_statusNOT_SET
    property_value_groups

    (Empty list)

    property_values

    (Empty list)

    pvmt<capellambse.extensions.pvmt.PropertyValueProxy object at 0x7f3afc3ddd50>
    related

    (Empty list)

    relations

    (Empty list)

    requirements

    (Empty list)

    summaryNone
    text
    traces

    (Empty list)

    typeNone
    uuid0ce7877e-68d6-4113-8aca-be69b2e25253
    xtypeRequirements:Requirement
    " + ], + "text/plain": [ + "\n", + ".applied_property_value_groups = []\n", + ".applied_property_values = []\n", + ".attributes = []\n", + ".chapter_name = None\n", + ".constraints = []\n", + ".description = None\n", + ".diagrams = []\n", + ".filtering_criteria = []\n", + ".foreign_id = None\n", + ".identifier = None\n", + ".long_name = None\n", + ".name = 'New showcase req1'\n", + ".owner = \n", + ".parent = \n", + ".prefix = None\n", + ".progress_status = 'NOT_SET'\n", + ".property_value_groups = []\n", + ".property_values = []\n", + ".pvmt = \n", + ".related = []\n", + ".relations = []\n", + ".requirements = []\n", + ".summary = None\n", + ".text = ''\n", + ".traces = []\n", + ".type = None\n", + ".uuid = '0ce7877e-68d6-4113-8aca-be69b2e25253'\n", + ".xtype = 'Requirements:Requirement'" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
    1. Requirement "TestReq1" (3c2d312c-37c9-41b5-8c32-67578fa52dc3)
    2. Requirement "TypedReq2" (0a9a68b1-ba9a-4793-b2cf-4448f0b4b8cc)
    3. Requirement "TestReq3" (79291c33-5147-4543-9398-9077d582576d)
    4. Requirement "TypedReq1" (85d41db2-9e17-438b-95cf-49342452ddf3)
    5. Requirement "New showcase req1" (0ce7877e-68d6-4113-8aca-be69b2e25253)
    6. Requirement "TestReq" (1092f69a-5f3a-4fe6-a8fd-b2dffde90650)
    " + ], + "text/plain": [ + "[0] \n", + "[1] \n", + "[2] \n", + "[3] \n", + "[4] \n", + "[5] " + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "new_req = model.oa.requirement_modules[0].requirements.create(name=\"New showcase req1\")\n", + "display(new_req)\n", + "model.oa.all_requirements" + ] + }, + { + "cell_type": "markdown", + "id": "58941b28", + "metadata": {}, + "source": [ + "Info about creation: Whenever you have an ElementList which deals with one\n", + "specified classtype, here it is Requirement, then the classtype name doesn't\n", + "need to be included." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "9156aac3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
    1. Requirement "TestReq1" (3c2d312c-37c9-41b5-8c32-67578fa52dc3)
    2. Requirement "TypedReq2" (0a9a68b1-ba9a-4793-b2cf-4448f0b4b8cc)
    3. Requirement "TestReq3" (79291c33-5147-4543-9398-9077d582576d)
    4. Requirement "TypedReq1" (85d41db2-9e17-438b-95cf-49342452ddf3)
    5. Requirement "TestReq" (1092f69a-5f3a-4fe6-a8fd-b2dffde90650)
    " + ], + "text/plain": [ + "[0] \n", + "[1] \n", + "[2] \n", + "[3] \n", + "[4] " + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.oa.all_requirements.by_type(\"ReqType\")" + ] + }, + { + "cell_type": "markdown", + "id": "f6687b07", + "metadata": {}, + "source": [ + "We see our Requirements with type `ReqType` are missing the new one.\n", + "Let's change that, without using capella." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "19f5f917", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
    1. Requirement "TestReq1" (3c2d312c-37c9-41b5-8c32-67578fa52dc3)
    2. Requirement "TypedReq2" (0a9a68b1-ba9a-4793-b2cf-4448f0b4b8cc)
    3. Requirement "TestReq3" (79291c33-5147-4543-9398-9077d582576d)
    4. Requirement "TypedReq1" (85d41db2-9e17-438b-95cf-49342452ddf3)
    5. Requirement "New showcase req1" (0ce7877e-68d6-4113-8aca-be69b2e25253)
    6. Requirement "TestReq" (1092f69a-5f3a-4fe6-a8fd-b2dffde90650)
    " + ], + "text/plain": [ + "[0] \n", + "[1] \n", + "[2] \n", + "[3] \n", + "[4] \n", + "[5] " + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "new_req.type = reqtype\n", + "model.oa.all_requirements.by_type(\"ReqType\")" + ] + }, + { + "cell_type": "markdown", + "id": "3878d8d5", + "metadata": {}, + "source": [ + "If you are sure about attributes when creating a Requirement you can also include\n", + "it during creation. " + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "f46766d6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
    1. Requirement "TestReq1" (3c2d312c-37c9-41b5-8c32-67578fa52dc3)
    2. Requirement "TypedReq2" (0a9a68b1-ba9a-4793-b2cf-4448f0b4b8cc)
    3. Requirement "TestReq3" (79291c33-5147-4543-9398-9077d582576d)
    4. Requirement "TypedReq1" (85d41db2-9e17-438b-95cf-49342452ddf3)
    5. Requirement "New showcase req1" (0ce7877e-68d6-4113-8aca-be69b2e25253)
    6. Requirement "ReqType during Creation" (ec5f6680-501c-4a6c-a2ce-3ae8fe93be00)
    7. Requirement "TestReq" (1092f69a-5f3a-4fe6-a8fd-b2dffde90650)
    " + ], + "text/plain": [ + "[0] \n", + "[1] \n", + "[2] \n", + "[3] \n", + "[4] \n", + "[5] \n", + "[6] " + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.oa.requirement_modules[0].requirements.create(\n", + " name=\"ReqType during Creation\",\n", + " type=reqtype,\n", + ")\n", + "model.oa.all_requirements.by_type(\"ReqType\")" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "2530e4a4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

    TestReq1 (Requirements:Requirement)

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    3. IntegerValueAttribute "AttrDef" (85dfd42c-7f6e-4236-a181-bdd784040431)
    4. RealValueAttribute "AttrDef" (d2231d14-854d-4625-b48b-6cf1c2554367)
    5. StringValueAttribute "AttrDef" (ee8a69ef-61b9-4db9-9a0f-628e5d4704e1)
    6. BooleanValueAttribute "None" (dcb8614e-2d1c-4cb3-aa0c-667a297e7489)
    chapter_name2
    constraints

    (Empty list)

    descriptionThis is a test requirement of kind 1.
    diagrams

    (Empty list)

    filtering_criteria

    (Empty list)

    foreign_id1
    identifierREQTYPE-1
    long_name1
    nameTestReq1
    ownerFolder "Folder" (e16f5cc1-3299-43d0-b1a0-82d31a137111)
    parentFolder "Folder" (e16f5cc1-3299-43d0-b1a0-82d31a137111)
    prefix3
    progress_statusNOT_SET
    property_value_groups

    (Empty list)

    property_values

    (Empty list)

    pvmt<capellambse.extensions.pvmt.PropertyValueProxy object at 0x7f3ad72dfd90>
    related
    1. Entity "Weather" (4bf0356c-89dd-45e9-b8a6-e0332c026d33)
    2. SystemFunction "Sysexfunc" (00e7b925-cf4c-4cb0-929e-5409a1cd872b)
    3. Requirement "TypedReq1" (85d41db2-9e17-438b-95cf-49342452ddf3)
    4. LogicalComponent "Hogwarts" (0d2edb8f-fa34-4e73-89ec-fb9a63001440)
    relations
    1. CapellaIncomingRelation "Controlling the weather" (078b2c69-4352-4cf9-9ea5-6573b75e5eec)
    2. CapellaIncomingRelation "Test req" (24c824ef-b187-4725-a051-a68707e82d70)
    3. InternalRelation "None" (7de4c1a5-e106-4171-902a-502b816b60b0)
    4. CapellaOutgoingRelation "None" (57033242-3766-4961-8091-ce3d9326ed67)
    requirements
    1. Entity "Weather" (4bf0356c-89dd-45e9-b8a6-e0332c026d33)
    2. SystemFunction "Sysexfunc" (00e7b925-cf4c-4cb0-929e-5409a1cd872b)
    3. Requirement "TypedReq1" (85d41db2-9e17-438b-95cf-49342452ddf3)
    4. LogicalComponent "Hogwarts" (0d2edb8f-fa34-4e73-89ec-fb9a63001440)
    summaryNone
    text

    Test requirement 1 really l o n g text that is way too long to display here as that

    \n", + "\n", + "

    < > " '

    \n", + "\n", + "
      \n", + "\t
    • This is a list
      • \n", + "\t
    • an unordered one
      • \n", + "
    \n", + "\n", + "
      \n", + "\t
    1. Ordered list
      2. \n", + "\t
    2. Ok
      3. \n", + "
    \n", + "
    traces

    (Empty list)

    typeRequirementType "ReqType" (db47fca9-ddb6-4397-8d4b-e397e53d277e)
    uuid3c2d312c-37c9-41b5-8c32-67578fa52dc3
    xtypeRequirements:Requirement
    " + ], + "text/plain": [ + "\n", + ".applied_property_value_groups = []\n", + ".applied_property_values = []\n", + ".attributes = [0] \n", + " [1] \n", + " [2] \n", + " [3] \n", + " [4] \n", + " [5] \n", + ".chapter_name = '2'\n", + ".constraints = []\n", + ".description = 'This is a test requirement of kind 1.'\n", + ".diagrams = []\n", + ".filtering_criteria = []\n", + ".foreign_id = 1\n", + ".identifier = 'REQTYPE-1'\n", + ".long_name = '1'\n", + ".name = 'TestReq1'\n", + ".owner = \n", + ".parent = \n", + ".prefix = '3'\n", + ".progress_status = 'NOT_SET'\n", + ".property_value_groups = []\n", + ".property_values = []\n", + ".pvmt = \n", + ".related = [0] \n", + " [1] \n", + " [2] \n", + " [3] \n", + ".relations = [0] to (078b2c69-4352-4cf9-9ea5-6573b75e5eec)>\n", + " [1] to (24c824ef-b187-4725-a051-a68707e82d70)>\n", + " [2] to (7de4c1a5-e106-4171-902a-502b816b60b0)>\n", + " [3] to (57033242-3766-4961-8091-ce3d9326ed67)>\n", + ".requirements = [0] \n", + " [1] \n", + " [2] \n", + " [3] \n", + ".summary = None\n", + ".text = Markup('

    Test requirement 1 really l o n g text that is way too long to display here as that

    \\n\\n

    < > " '

    \\n\\n
      \\n\\t
    • This is a list
      • \\n\\t
    • an unordered one
      • \\n
    \\n\\n
      \\n\\t
    1. Ordered [...]\n", + ".traces = []\n", + ".type = \n", + ".uuid = '3c2d312c-37c9-41b5-8c32-67578fa52dc3'\n", + ".xtype = 'Requirements:Requirement'" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.oa.all_requirements[0]" + ] + }, + { + "cell_type": "markdown", + "id": "ec7a07c8", + "metadata": {}, + "source": [ + "## Export all requirements to excel with pandas\n", + "\n", + "With `Pandas` you are able to generate data tables and export to many file-types\n", + "like .xlsx for excel. Note that this requires the `xlsxwriter` module in\n", + "addition to `pandas` itself." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "acbe3e06", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "\n", + "requirements = [{\"id\": f\"Req_{i}\", \"uuid\": req.uuid, \"text\": req.text} for i, req in enumerate(model.oa.all_requirements)]\n", + "data = pd.DataFrame(requirements)\n", + "data.to_excel(excel_writer=\"Test_requirements.xlsx\")" + ] + }, + { + "cell_type": "markdown", + "id": "03bf76ca-0703-4ae7-9270-e743063d7372", + "metadata": {}, + "source": [ + "## Export a Requirements module as Requirements Interchange Format (`.reqif`) file\n", + "\n", + "`capellambse` features basic export functionality for requirements modules, which allows to write `.reqif` or compressed `.reqifz` files. These can then be imported into other ReqIF-compliant applications, like CodeBeamer or IBM DOORS.\n", + "\n", + "Let's first take a glance at the module we're going to export:" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "e3f44e4c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

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      " + ], + "text/plain": [ + "\n", + ".applied_property_value_groups = []\n", + ".applied_property_values = []\n", + ".attributes = [0] \n", + ".constraints = []\n", + ".description = 'This is a test requirement module.'\n", + ".diagrams = []\n", + ".filtering_criteria = []\n", + ".folders = [0] \n", + ".identifier = '1'\n", + ".long_name = 'Module'\n", + ".name = 'Test Module'\n", + ".parent = \n", + ".prefix = 'T'\n", + ".progress_status = 'NOT_SET'\n", + ".property_value_groups = []\n", + ".property_values = []\n", + ".pvmt = \n", + ".requirement_types_folders = []\n", + ".requirements = [0] \n", + " [1] \n", + " [2] \n", + ".summary = None\n", + ".traces = []\n", + ".type = \n", + ".uuid = 'f8e2195d-b5f5-4452-a12b-79233d943d5e'\n", + ".xtype = 'CapellaRequirements:CapellaModule'" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "req_module = model.by_uuid(\"f8e2195d-b5f5-4452-a12b-79233d943d5e\")\n", + "req_module" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "5c555118-246d-47be-b462-6ce01822e156", + "metadata": {}, + "outputs": [], + "source": [ + "req_module.to_reqif(req_module.name + \".reqif\")" + ] + }, + { + "cell_type": "markdown", + "id": "94297761-841e-4900-945c-b5f87825627f", + "metadata": {}, + "source": [ + "And that's it! This code has created the file \"Test Module.reqif\" next to this notebook, which contains all Requirements defined in that module." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + }, + "vscode": { + "interpreter": { + "hash": "e7370f93d1d0cde622a1f8e1c04877d8463912d04d973331ad4851f04de6915a" + } + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/_sources/examples/07 Code Generation.ipynb.txt b/_sources/examples/07 Code Generation.ipynb.txt new file mode 100644 index 000000000..852511d03 --- /dev/null +++ b/_sources/examples/07 Code Generation.ipynb.txt @@ -0,0 +1,396 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Introduction to Code Generation\n", + "\n", + "This notebook exemplifies how to generate automatically code in terms of interfaces. For this three examples are provided. The first one creates a ROS message, the second a standard python class and the last a protobuf interface." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import capellambse" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "path_to_model = \"../../../tests/data/melodymodel/5_0/Melody Model Test.aird\"\n", + "model = capellambse.MelodyModel(path_to_model, jupyter_untrusted=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In particular, we want to create code from our class:" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Unknown global filter 'hide.technical.interfaces.filter'\n", + "Unknown global filter 'ModelExtensionFilter'\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.diagrams.by_name(\"[CDB] CodeGeneration\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In order to access the classes, we can simply access the `data_package` of the operational layer, and from there access the attribute `classes`." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      1. Class "Twist" (8164ae8b-36d5-4502-a184-5ec064db4ec3)
      2. Class "Trajectory" (c5ea0585-7657-4764-9eb2-3a6584980ce6)
      3. Class "Waypoint" (2a923851-a4ca-4fd2-a4b3-302edb8ac178)
      4. Class "Example" (a7ecc231-c55e-4ab9-ae14-9558e3ec2a34)
      " + ], + "text/plain": [ + "[0] \n", + "[1] \n", + "[2] \n", + "[3] " + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_pkg = model.oa.data_package\n", + "data_pkg.classes" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## ROS2 IDL Message\n", + "\n", + "Let's have a brief look into the structure of ROS2 Message descriptions. They are stored in `.msg` files and comprised of a type and name, separated by whitespace, i.e.:\n", + "\n", + "```\n", + "fieldtype1 fieldname1\n", + "fieldtype2[] fieldname2\n", + "```" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "def class_to_ros2_idl(cls):\n", + " filename = f\"{cls.name}.msg\"\n", + " lines = []\n", + " for prop in cls.properties:\n", + " multiplicity = (\"\", \"[]\")[prop.max_card.value > 1]\n", + " lines.append(f\"{prop.type.name}{multiplicity} {prop.name}\")\n", + " text = \"\\n\".join(lines)\n", + " with open(filename, \"w\") as file:\n", + " file.write(text)\n", + " print(f\"# file: {filename} \\n{text}\\n\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In our example, files would be generated with the following content:" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "# file: Twist.msg \n", + "\n", + "\n", + "# file: Trajectory.msg \n", + "Waypoint[] waypoints\n", + "\n", + "# file: Waypoint.msg \n", + "float lat\n", + "float lon\n", + "float alt\n", + "Example[] examples\n", + "\n", + "# file: Example.msg \n", + "str test\n", + "\n" + ] + } + ], + "source": [ + "data_pkg = model.oa.data_package\n", + "for cls in data_pkg.classes:\n", + " class_to_ros2_idl(cls)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Interface for python classes\n", + "\n", + "A python class has the following structure:\n", + "\n", + "\n", + "```\n", + "class class_name:\n", + " name1: type \n", + " name2: [type]\n", + "```" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "A python interface can be generated as follows:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "def class_to_python(cls, current_classes=None):\n", + " lines = [f\"class {cls.name}:\"]\n", + " current_classes = [cls]\n", + " if not cls.properties:\n", + " lines.append(4*\" \" + \"pass\")\n", + " for prop in cls.properties:\n", + " if (\n", + " isinstance(\n", + " prop.type, capellambse.model.crosslayer.information.Class\n", + " )\n", + " and prop.type not in current_classes\n", + " ):\n", + " nested_text = class_to_python(prop.type, current_classes)\n", + " lines = [nested_text] + [\"\\n\"] + lines\n", + " multiplicity = (f\"{prop.type.name}\", f\"list[{prop.type.name}]\")[\n", + " prop.max_card.value > 1\n", + " ]\n", + " lines.append(4*\" \" + f\"{prop.name}: {multiplicity}\")\n", + " text = \"\\n\".join(lines)\n", + "\n", + " return text" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "# file: trajectory.py \n", + "class Example:\n", + " test: str\n", + "\n", + "\n", + "class Waypoint:\n", + " lat: float\n", + " lon: float\n", + " alt: float\n", + " examples: list[Example]\n", + "\n", + "\n", + "class Trajectory:\n", + " waypoints: list[Waypoint]\n", + "\n" + ] + } + ], + "source": [ + "trajectory = data_pkg.classes.by_name(\"Trajectory\")\n", + "text = class_to_python(trajectory)\n", + "filename = f\"{trajectory.name.lower()}.py\"\n", + "with open(filename, \"w\") as file:\n", + " file.write(text)\n", + "print(f\"# file: {filename} \\n{text}\\n\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Interface for Protocol Buffers (Protobuf) \n", + "\n", + "Protobuf Message descriptions are stored in `.proto` files where a class definition starts with `message` and each property of the class is defined by at least three parts: the data type, name and its order number. Classes can also be nested in other classes. An example is shown in the following:\n", + "\n", + "\n", + "```\n", + "syntax = \"proto3\";\n", + "\n", + "message class1 {\n", + " datatype class1_name1 = 1;\n", + " datatype class1_name2 = 2;\n", + " message class2 {\n", + " datatype class2_name1 = 1;\n", + " }\n", + " repeated class2 class_name = 3;\n", + "}\n", + "\n", + "```\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "def class_to_proto(cls, current_classes=None, indent=\"\"):\n", + " if current_classes is None:\n", + " current_classes = [cls]\n", + " lines = ['syntax = \"proto3\";\\n']\n", + " indent += \" \"*4\n", + " lines.append(f\"{indent[:-4]}message {cls.name} {{\")\n", + " else:\n", + " lines = [f\"{indent[:-4]}message {cls.name} {{\"]\n", + "\n", + " for counter, prop in enumerate(cls.properties, start=1):\n", + " multiplicity = (\"\", \"[]\")[prop.max_card.value > 1]\n", + " if (\n", + " isinstance(\n", + " prop.type, capellambse.model.crosslayer.information.Class\n", + " )\n", + " and prop.type not in current_classes\n", + " ):\n", + " current_classes.append(prop.type)\n", + " nested_text = class_to_proto(\n", + " prop.type, current_classes, indent + \" \"*4\n", + " )\n", + " lines.append(nested_text)\n", + " lines.append(\n", + " f\"{indent}repeated {prop.type.name}{multiplicity} {prop.name} = {counter};\"\n", + " )\n", + " else:\n", + " lines.append(\n", + " f\"{indent}{prop.type.name}{multiplicity} {prop.name} = {counter};\"\n", + " )\n", + " lines.append(f\"{indent[:-4]}}}\")\n", + " text = \"\\n\".join(lines)\n", + " return text" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The protobuf interface of class `Trajectory` would look as follows:\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "# file: Trajectory.proto \n", + "syntax = \"proto3\";\n", + "\n", + "message Trajectory {\n", + " message Waypoint {\n", + " float lat = 1;\n", + " float lon = 2;\n", + " float alt = 3;\n", + " message Example {\n", + " str test = 1;\n", + " }\n", + " repeated Example[] examples = 4;\n", + " }\n", + " repeated Waypoint[] waypoints = 1;\n", + "}\n", + "\n" + ] + } + ], + "source": [ + "trajectory = data_pkg.classes.by_name(\"Trajectory\")\n", + "text = class_to_proto(trajectory)\n", + "filename = f\"{trajectory.name}.proto\"\n", + "with open(filename, \"w\") as file:\n", + " file.write(text)\n", + "print(f\"# file: {filename} \\n{text}\\n\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + }, + "vscode": { + "interpreter": { + "hash": "c5ea7dc634d8047a259e5b898f154d237fbe6934b444b1a949475949608d751e" + } + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/_sources/examples/08 Property Values.ipynb.txt b/_sources/examples/08 Property Values.ipynb.txt new file mode 100644 index 000000000..347f93245 --- /dev/null +++ b/_sources/examples/08 Property Values.ipynb.txt @@ -0,0 +1,343 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "f4599550", + "metadata": {}, + "source": [ + "# Property Values\n", + "\n", + "capellambse provides access to property values and property value groups, as well as the Property Value Management (PVMT) extension.\n", + "\n", + "This notebook will show how to access and work with basic property values and groups." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "fb62b658", + "metadata": {}, + "outputs": [], + "source": [ + "import capellambse\n", + "model = capellambse.MelodyModel(\n", + " \"../../../tests/data/melodymodel/5_0/Melody Model Test.aird\",\n", + " jupyter_untrusted=True\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "f4effeec", + "metadata": {}, + "source": [ + "Model objects can own property values and PV groups. To access those, use the `property_values` and `property_value_groups` attributes respectively:" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "3491dc40", + "metadata": {}, + "outputs": [], + "source": [ + "obj = model.search(\"LogicalComponent\").by_name(\"Whomping Willow\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "6f1304b7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      1. IntegerPropertyValue "cars_defeated": 1 (a928fa22-cef7-4357-9b87-675a432f6591)
      " + ], + "text/plain": [ + "[0] " + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "obj.property_values" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "573ce32d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

      cars_defeated (org.polarsys.capella.core.data.capellacore:IntegerPropertyValue)

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      " + ], + "text/plain": [ + "\n", + ".applied_property_value_groups = []\n", + ".applied_property_values = []\n", + ".constraints = []\n", + ".description = ''\n", + ".diagrams = []\n", + ".enumerations = []\n", + ".filtering_criteria = []\n", + ".name = 'cars_defeated'\n", + ".parent = \n", + ".progress_status = 'NOT_SET'\n", + ".property_value_groups = []\n", + ".property_values = []\n", + ".pvmt = \n", + ".requirements = []\n", + ".summary = None\n", + ".traces = []\n", + ".uuid = 'a928fa22-cef7-4357-9b87-675a432f6591'\n", + ".value = 1\n", + ".xtype = 'org.polarsys.capella.core.data.capellacore:IntegerPropertyValue'" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "obj.property_values[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "3c105268", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      1. PropertyValueGroup "Stats" (81bcc3d3-24d2-411e-a296-9943029acfd9)
      " + ], + "text/plain": [ + "[0] " + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "obj.property_value_groups" + ] + }, + { + "cell_type": "markdown", + "id": "06426fae", + "metadata": {}, + "source": [ + "## dict-like access to property values\n", + "\n", + "In addition to standard attribute-based access, these property value-related attributes can also behave like dicts in some cases. Here the dict key equates to the `name` of a property value or group, and the dict value equates to either the `value` of a property value object, or a list of PV objects in the group (which again can behave dict-like)." + ] + }, + { + "cell_type": "markdown", + "id": "574022f7", + "metadata": {}, + "source": [ + "This significantly shortens the way to a specific value. For comparison, this would be the \"usual\" attribute-based way of accessing it:" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "a10cf035", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "150" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "obj.property_value_groups.by_name(\"Stats\").property_values.by_name(\"WIS\").value" + ] + }, + { + "cell_type": "markdown", + "id": "12800ba6", + "metadata": {}, + "source": [ + "And here is the same again, leveraging the dict-like behavior:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "0e03011b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "150" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "obj.property_value_groups[\"Stats\"][\"WIS\"]" + ] + }, + { + "cell_type": "markdown", + "id": "3e8f3666", + "metadata": {}, + "source": [ + "This of course works for all property value related attributes." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "c56a533f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "obj.property_values[\"cars_defeated\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "2cc26810", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      1. IntegerPropertyValue "HP": 8000 (0e95950d-272f-4b50-b68d-ee8fed002c94)
      2. IntegerPropertyValue "STR": 42 (32be6f26-4b33-4861-b501-3bfce3df94cb)
      3. IntegerPropertyValue "AGI": 0 (addb1e4a-9ecc-411c-b7ef-b76388e5840d)
      4. IntegerPropertyValue "WIS": 150 (7c8c9c21-86b9-4dba-9c7c-cd9db2f09c11)
      5. IntegerPropertyValue "INT": 12 (647a5565-a1de-4e15-ab21-eb628eea413c)
      " + ], + "text/plain": [ + "[0] \n", + "[1] \n", + "[2] \n", + "[3] \n", + "[4] " + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "obj.property_value_groups[\"Stats\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "b7943324", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "150" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "obj.property_value_groups[\"Stats\"][\"WIS\"]" + ] + }, + { + "cell_type": "markdown", + "id": "65b98527", + "metadata": {}, + "source": [ + "These property values can also be written to:" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "b34fdf10", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      1. IntegerPropertyValue "HP": 8000 (0e95950d-272f-4b50-b68d-ee8fed002c94)
      2. IntegerPropertyValue "STR": 42 (32be6f26-4b33-4861-b501-3bfce3df94cb)
      3. IntegerPropertyValue "AGI": 0 (addb1e4a-9ecc-411c-b7ef-b76388e5840d)
      4. IntegerPropertyValue "WIS": 150 (7c8c9c21-86b9-4dba-9c7c-cd9db2f09c11)
      5. IntegerPropertyValue "INT": 18 (647a5565-a1de-4e15-ab21-eb628eea413c)
      " + ], + "text/plain": [ + "[0] \n", + "[1] \n", + "[2] \n", + "[3] \n", + "[4] " + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "obj.property_value_groups[\"Stats\"][\"INT\"] = 18\n", + "obj.property_value_groups[\"Stats\"]" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/_sources/examples/09 Context Diagrams.ipynb.txt b/_sources/examples/09 Context Diagrams.ipynb.txt new file mode 100644 index 000000000..705369808 --- /dev/null +++ b/_sources/examples/09 Context Diagrams.ipynb.txt @@ -0,0 +1,710 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "2cdf5dd5", + "metadata": {}, + "source": [ + "# Context Diagrams Extension\n", + "\n", + "We have an extension that visualizes contexts of Capella objects. The viewpoint\n", + "definiton depends on the object type. The extension is external to\n", + "`capellambse` library and needs to be installed separately. You may use the\n", + "below command to install it or find more guidance in the [package\n", + "documentation](https://dsd-dbs.github.io/capellambse-context-diagrams/)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e49dac7a", + "metadata": {}, + "outputs": [], + "source": [ + "!pip install capellambse_context_diagrams" + ] + }, + { + "cell_type": "markdown", + "id": "c93ced3d", + "metadata": {}, + "source": [ + "Now that the lib is installed we can load a test model" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "d64ff435", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Cannot load PVMT extension: ValueError: Provided model does not have a PropertyValuePkg\n", + "Property values are not available in this model\n" + ] + } + ], + "source": [ + "from IPython.display import display, HTML # we'll need that later\n", + "import capellambse\n", + "\n", + "model = capellambse.MelodyModel(\n", + " \"../../../tests/data/melodymodel/5_2/Melody Model Test.aird\",\n", + " jupyter_untrusted=True\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "e88f088c", + "metadata": {}, + "source": [ + "## Logical Component Context" + ] + }, + { + "cell_type": "markdown", + "id": "71d8da10", + "metadata": {}, + "source": [ + "and now as the model is loaded lets have a look at a context diagram for the `School` component" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "09c4d2ee", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cmp = model.la.all_components.by_name(\"Whomping Willow\")\n", + "cmp.context_diagram" + ] + }, + { + "cell_type": "markdown", + "id": "e721cfa4", + "metadata": {}, + "source": [ + "## Component Exchange Context\n", + "\n", + "We also found it useful to spell-out the `ComponentExchange`s - this gives us a nice overview of functional interactions between the components" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "040bfc14", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cmp.related_exchanges.by_name(\"Punishment\").context_diagram" + ] + }, + { + "cell_type": "markdown", + "id": "8cff65de", + "metadata": {}, + "source": [ + "it also works for more complex arrangements but we dont have one in the current test model ;-)" + ] + }, + { + "cell_type": "markdown", + "id": "e9ecb867", + "metadata": {}, + "source": [ + "## Functional (dataflow) Context\n", + "\n", + "same applies for functions - we saw it useful to see what functions are dependent on an output of a function of interest and what inputs it needs to do what it should. We frequently use that view in documentation" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "ba760fda", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fnc = model.la.all_functions.by_name(\"educate Wizards\")\n", + "fnc.context_diagram" + ] + }, + { + "cell_type": "markdown", + "id": "b073bfc3", + "metadata": {}, + "source": [ + "## Layers, other than LA\n", + "\n", + "Other layers are supported too - for complete list see https://dsd-dbs.github.io/capellambse-context-diagrams/ (Features section)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "99743283", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

      Context of Root Operational Activity

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", 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      Context of Search for animals

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", 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", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for act in model.oa.all_activities:\n", + " display(HTML(f\"

      Context of {act.name}

      \"))\n", + " display(act.context_diagram)" + ] + }, + { + "cell_type": "markdown", + "id": "b9b28af3", + "metadata": {}, + "source": [ + "## Customizing context views\n", + "\n", + "For almost every context view you can do some tuning. Just like in Capella itself you can apply view filters, like hide or show exchange items instead or next to exchange names. You can see more of the tuning options here: https://dsd-dbs.github.io/capellambse-context-diagrams/extras/filters/#capella-filters" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "2c88ed82", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

      Context of Stay alive

      " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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", 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      Context of Escape predators

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", 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for cap in model.oa.all_capabilities:\n", + " display(HTML(f\"

      Context of {cap.name}

      \"))\n", + " diag = cap.context_diagram\n", + " diag.display_symbols_as_boxes = True\n", + " diag.render(None, no_edgelabels=True)\n", + " display(diag)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + }, + "vscode": { + "interpreter": { + "hash": "e7370f93d1d0cde622a1f8e1c04877d8463912d04d973331ad4851f04de6915a" + } + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/_sources/examples/10 Declarative Modeling.ipynb.txt b/_sources/examples/10 Declarative Modeling.ipynb.txt new file mode 100644 index 000000000..cce8f731c --- /dev/null +++ b/_sources/examples/10 Declarative Modeling.ipynb.txt @@ -0,0 +1,272 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Declarative Modeling Example\n", + "\n", + "Declarative approach to modeling means that one could define or update a model using a fragment of structured text. A number of fragments could be \"played\" against a model in a sequence to build it up.\n", + "\n", + "Enabling declarative modeling for Capella models enables a range of complex automations around modeling process that are explainable / transparent to human auditors.\n", + "\n", + "This notebook will demonstrate a basic application of this approach to modeling on a coffee machine example. Please note that we will not model any specific modeling process but rather a \"free-form\" demo." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## System Analysis of a Coffee Machine\n", + "\n", + "Lets do a quick system analysis of a coffee machine. Lets assume that our meta-solution is an automated coffee machine for a household use. We may look into variant management scenario in a separate example.\n", + "\n", + "### 0. Initialize\n", + "\n", + "But before we can model something lets first initialize the model. We will use an empty Capella 5.2 model as a starting point." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Cannot load PVMT extension: ValueError: Provided model does not have a PropertyValuePkg\n", + "Property values are not available in this model\n" + ] + } + ], + "source": [ + "import capellambse\n", + "import io\n", + "from capellambse import decl\n", + "\n", + "model = capellambse.MelodyModel(\n", + " \"../../../tests/data/decl/empty_project_52/empty_project_52.aird\",\n", + " jupyter_untrusted=True\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "to visualize the modeling results we'll use context-diagrams extension, you may get one by uncommenting and running the command below" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "!pip install capellambse_context_diagrams" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "lets verify that the model is empty at SA layer:" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "At SA layer the model has 0, out of which 0 are allocated to Root Component\n" + ] + } + ], + "source": [ + "functions_allocated = model.sa.root_component.allocated_functions\n", + "functions_available = model.sa.root_function.functions\n", + "print(f\"At SA layer the model has {len(functions_available)}, out of which {len(functions_allocated)} are allocated to Root Component\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Also for this to work we'll need \"coordinates\" of some key elements in the model:" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "root_function = model.sa.root_function\n", + "root_component = model.sa.root_component\n", + "structure = model.sa.component_package" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 1. Context\n", + "\n", + "Lets start by renaming the root component from **System** to **Coffee Machine**, creating a human actor **User** and a component exchange between those two.\n", + "\n", + "We can achieve this by applying the following YAML patch to an empty Capella model:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{Promise(identifier='usr-port-promise'): \n", + " .applied_property_value_groups = []\n", + " .applied_property_values = []\n", + " .constraints = []\n", + " .description = ''\n", + " .direction = \n", + " .exchanges = ... # backreference to ComponentExchange - omitted: can be slow to compute\n", + " .filtering_criteria = []\n", + " .name = 'usr'\n", + " .owner = \n", + " .parent = \n", + " .progress_status = 'NOT_SET'\n", + " .property_value_groups = []\n", + " .property_values = []\n", + " .requirements = []\n", + " .summary = None\n", + " .traces = []\n", + " .uuid = '3a2ff9e0-adcc-4d2d-ae4f-7001a0c25475'\n", + " .xtype = 'org.polarsys.capella.core.data.fa:ComponentPort',\n", + " Promise(identifier='cm-port-promise'): \n", + " .applied_property_value_groups = []\n", + " .applied_property_values = []\n", + " .constraints = []\n", + " .description = ''\n", + " .direction = \n", + " .exchanges = ... # backreference to ComponentExchange - omitted: can be slow to compute\n", + " .filtering_criteria = []\n", + " .name = 'cm'\n", + " .owner = \n", + " .parent = \n", + " .progress_status = 'NOT_SET'\n", + " .property_value_groups = []\n", + " .property_values = []\n", + " .requirements = []\n", + " .summary = None\n", + " .traces = []\n", + " .uuid = '99f8db47-4771-4e4e-993a-b252398d8806'\n", + " .xtype = 'org.polarsys.capella.core.data.fa:ComponentPort'}" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model_update = f\"\"\"\n", + "- parent: !uuid {root_component.uuid}\n", + " modify:\n", + " name: Coffee Machine\n", + "- parent: !uuid {root_component.uuid}\n", + " extend:\n", + " ports:\n", + " - name: usr\n", + " direction: INOUT\n", + " promise_id: usr-port-promise\n", + " exchanges:\n", + " - name: user interactions\n", + " source: !promise usr-port-promise\n", + " target: !promise cm-port-promise\n", + "- parent: !uuid {structure.uuid}\n", + " extend:\n", + " components:\n", + " - name: User\n", + " is_actor: true\n", + " is_human: true\n", + " ports:\n", + " - name: cm\n", + " direction: INOUT\n", + " promise_id: cm-port-promise\n", + "\"\"\"\n", + "# the below line applies the model_update to the model\n", + "decl.apply(model, io.StringIO(model_update))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "and now we can verify the changes by visualizing the context of our system under analysis:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "root_component.context_diagram" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Please note: the changes we made are not yet stored - if you like those to be saved you may use `model.save()` method. This will save the model back to where it was loaded from, for example by writing back into local files, or by creating a Git commit and pushing it back to the remote.\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + }, + "vscode": { + "interpreter": { + "hash": "c5ea7dc634d8047a259e5b898f154d237fbe6934b444b1a949475949608d751e" + } + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/_sources/examples/11 Complexity Assessment.ipynb.txt b/_sources/examples/11 Complexity Assessment.ipynb.txt new file mode 100644 index 000000000..f76d88176 --- /dev/null +++ b/_sources/examples/11 Complexity Assessment.ipynb.txt @@ -0,0 +1,119 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Complexity Assessment\n", + "\n", + "This notebook demonstrates how to use / view the model complexity badge for a Capella model." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from IPython.display import SVG, display\n", + "import capellambse" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Cannot load PVMT extension: ValueError: Provided model does not have a PropertyValuePkg\n", + "Property values are not available in this model\n" + ] + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "180\n", + "objects\n", + "\n", + "\n", + "31%\n", + "\n", + "16%\n", + "\n", + "27%\n", + "\n", + "27%\n", + "\n", + "18\n", + "diagrams\n", + "\n", + "\n", + "39%\n", + "\n", + "22%\n", + "\n", + "28%\n", + "\n", + "11%\n", + "\n", + "\n", + "\n", + "Operational Analysis\n", + "\n", + "System Analysis\n", + "\n", + "Logical Architecture\n", + "\n", + "Physical Architecture\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model = capellambse.MelodyModel(\"../../../tests/data/melodymodel/5_2/Melody Model Test.aird\")\n", + "SVG(model.description_badge)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + }, + "vscode": { + "interpreter": { + "hash": "f5c9192943a88c565de58e6fd7c534c9de794a35889e45ad6809ab92c821a96c" + } + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/_sources/howtos/howtos.rst.txt b/_sources/howtos/howtos.rst.txt new file mode 100644 index 000000000..fe0051595 --- /dev/null +++ b/_sources/howtos/howtos.rst.txt @@ -0,0 +1,21 @@ +.. + SPDX-FileCopyrightText: Copyright DB Netz AG and the capellambse contributors + SPDX-License-Identifier: Apache-2.0 + +.. _howtos: + +******* +How Tos +******* + +In this section you can view dedicated tutorial-notebooks of key +features. + + +.. toctree:: + :maxdepth: 4 + :caption: How tos: + :numbered: + :glob: + + ../examples/* diff --git a/_sources/index.rst.txt b/_sources/index.rst.txt new file mode 100644 index 000000000..d7af388a1 --- /dev/null +++ b/_sources/index.rst.txt @@ -0,0 +1,76 @@ +.. + SPDX-FileCopyrightText: Copyright DB Netz AG and the capellambse contributors + SPDX-License-Identifier: Apache-2.0 + +***************************** +Welcome to the documentation! +***************************** + +Python Capella MBSE Tools +========================= + +.. image:: https://img.shields.io/badge/code%20style-black-000000.svg + :target: https://github.com/psf/black + :alt: Black + +**Date**: |today| **Version**: |Version| + +Description +----------- + +This library was designed to enable and support Model Based System Engineering +using Polarsys' Capella_ with Python. Common usage for this API: + +* parsing .aird files +* easy access to model elements and objects +* property-value access and manipulation +* diagram access and export as SVG + +Additionally and as a core idea it provides an interface for the underlying +database of the Capella model. + +Since v0.5, it also supports a simple, but powerful :ref:`declarative modelling +language `, which is based on the API for the semantic +model. + +If you want a quickstart at how to use this package, head right into the +:ref:`how-tos section `. + +.. toctree:: + :caption: Start + :maxdepth: 1 + :titlesonly: + + start/installation + start/intro-to-api + start/declarative + start/audit-events + +.. toctree:: + :caption: Tutorials + :titlesonly: + + howtos/howtos + +.. toctree:: + :caption: API reference + :maxdepth: 4 + + code/modules + +.. toctree:: + :caption: Integration with other tools + :maxdepth: 2 + + tools/sphinx-extension.rst + +.. toctree:: + :caption: Development + :maxdepth: 2 + + development/low-level-api + development/how-to-explore-capella-mm + development/developing-docs + development/repl + +.. _Capella: https://www.eclipse.org/capella/ diff --git a/_sources/start/audit-events.rst.txt b/_sources/start/audit-events.rst.txt new file mode 100644 index 000000000..b5baf6848 --- /dev/null +++ b/_sources/start/audit-events.rst.txt @@ -0,0 +1,152 @@ +.. + SPDX-FileCopyrightText: Copyright DB Netz AG and the capellambse contributors + SPDX-License-Identifier: Apache-2.0 + +.. _audit-events: + +************ +Audit events +************ + +|project| fires :external:py:func:`sys.audit` events for certain calls in the +high-level API. These events can be inspected by a callable registered with +:external:py:func:`sys.addaudithook`. + +.. warning:: + + System audit hooks cannot be removed once they were registered. When storing + a reference to a model in an audit hook, make sure that the reference is + destroyed properly to avoid unnecessary memory consumption. + +Also refer to the :py:class:`capellambse.auditing.AttributeAuditor` for an +example class that records read access to all attributes in a model using the +``capellambse.getattr`` audit event. + +For programmatic use, a set of all events that signify changes to the model is +available as the ``events`` class variable on the +:py:class:`~capellambse.auditing.WriteProtector`. + +List of audit events fired by |project| +======================================= + +The following table shows all audit events that are fired by ``capellambse``. + +.. note:: + + For some calls, multiple events may be fired. For example, a + ``capellambse.create`` event is always followed by another event (such as + ``capellambse.insert``) when adding the newly created object to the model + tree. + ++--------------------------------+--------------------------------------------+ +| Event | Description | ++================================+============================================+ +| ``capellambse.getattr`` | An attribute is accessed for reading. | +| | | +| .. versionadded:: 0.5.11 | **Arguments:** | +| | | +| | 1. ``obj``: The object that was accessed. | +| | 2. ``attr``: The attribute on that object. | +| | 3. ``value``: The value that is going to | +| | be returned. Use this to avoid | +| | recursive loops when inspecting the | +| | object. | +| | | +| | .. note:: | +| | | +| | This event will also be fired for | +| | internal read accesses, for example | +| | when searching the model for references | +| | to another object. Currently there is | +| | no reliable way to distinguish between | +| | explicit (user) access and these | +| | internal calls. | ++--------------------------------+--------------------------------------------+ +| ``capellambse.read_attribute`` | Deprecated alias of | +| | ``capellambse.getattr``. | +| .. versionadded:: pre-0.5 | | +| | | +| .. deprecated:: 0.5.11 | | +| Use the ``getattr`` event | | +| instead. | | ++--------------------------------+--------------------------------------------+ +| ``capellambse.setattr`` | An attribute is about to be changed. | +| | | +| .. versionadded:: 0.5.11 | **Arguments:** | +| | | +| | 1. ``obj``: The object being changed. | +| | 2. ``attr``: The name of the attribute. | +| | 3. ``value``: The new value. | ++--------------------------------+--------------------------------------------+ +| ``capellambse.delete`` | An object or a list of objects is about to | +| | be deleted from the model. | +| .. versionadded:: 0.5.11 | | +| | This is also fired when purging left-over | +| | references while deleting another object. | +| | | +| | **Arguments:** | +| | | +| | 1. ``parent``: The current parent object. | +| | 2. ``attr``: The attribute that contains | +| | the object to be deleted. | +| | 3. ``index``: If a single object from a | +| | list is being deleted, contains the | +| | index of that object into the list. If | +| | the entire attribute is deleted (in the | +| | case of lists: the list is emptied), | +| | contains ``None``. | ++--------------------------------+--------------------------------------------+ +| ``capellambse.insert`` | An item is about to be inserted into a | +| | coupled ``ElementList``. | +| .. versionadded:: 0.5.11 | | +| | **Arguments:** | +| | | +| | 1. ``parent``: The object being changed. | +| | 2. ``attr``: The attribute that contains | +| | this list. | +| | 3. ``index``: The index into the list to | +| | insert into. May be ``len(the_list)`` | +| | (or greater) to signify appending to | +| | the end. | +| | 4. ``value``: The value being inserted. | ++--------------------------------+--------------------------------------------+ +| ``capellambse.create`` | A new object was just created, but is not | +| | yet part of the model. | +| .. versionadded:: 0.5.11 | | +| | **Arguments:** | +| | | +| | 1. ``parent``: The new parent object. | +| | 2. ``attr``: The attribute that contains | +| | this list. | +| | 3. ``index``: The index into the list to | +| | insert into. May be ``len(the_list)`` | +| | (or greater) to signify appending to | +| | the end. | +| | 4. ``value``: The newly created object. | ++--------------------------------+--------------------------------------------+ + +Implementation notes +==================== + +Audit events are generally fired from these locations: + +1. Read access events (i.e. ``capellambse.getattr``) are fired by each Accessor + subclass, just before returning the final value from ``__get__()``. + +2. Events that signify modifications to a list are fired by the overridden + methods in ``CoupledElementListMixin`` (include ``create``), as well as by + ``__setattr__()`` of ``GenericElement``, before passing the values on to the + actual accessor implementation. + +3. The ``capellambse.delete`` event for deleting an entire attribute (i.e. the + case where the ``index`` argument is ``None``) is fired by the relevant + Accessor's ``__delete__()`` method. + + Note that for lists, Accessors may instead fire individual ``delete`` events + for each list item. + +In order to prevent audit events from being fired for elements that are still +under construction, ``GenericElement`` keeps track of the construction state in +the ``_constructed`` attribute. It becomes True when construction is finished +and audit events may be fired. Accessors must not fire any audit events if the +object they're acting on has not been fully constructed. diff --git a/_sources/start/declarative.rst.txt b/_sources/start/declarative.rst.txt new file mode 100644 index 000000000..d037ed79c --- /dev/null +++ b/_sources/start/declarative.rst.txt @@ -0,0 +1,281 @@ +.. + SPDX-FileCopyrightText: Copyright DB Netz AG and the capellambse contributors + SPDX-License-Identifier: Apache-2.0 + +.. _declarative-modelling: + +********************* +Declarative modelling +********************* + +.. versionadded:: 0.5.0 + Introduced the declarative modelling module. + +|project| supports declarative modelling with the :py:mod:`capellambse.decl` +module. This requires the optional dependency ``capellambse[decl]`` to be +installed. + +The YAML-based declarative modelling engine combines a few simple concepts into +a powerful, but easy to use file format. These files can then be applied to any +model supported by |project|. + +Example +======= + +Here is an example YAML file that declares a simple coffee machine with a +couple of functions, and functional exchanges between them: + +.. literalinclude:: ../../../tests/data/decl/coffee-machine.yml + :language: yaml + :lines: 4- + :lineno-start: 1 + :linenos: + +CLI usage +--------- + +If the additional optional dependency ``capellambse[decl,cli]`` is installed, +this file can be applied from the command line. Assuming it is saved as +``coffee-machine.yml``, it can then be applied to a locally stored Capella +model like this: + +.. code-block:: sh + + python -m capellambse.decl --model path/to/model.aird coffee-machine.yml + +Refer to the :py:func:`capellambse.cli_helpers.loadcli` documentation to find +out the supported argument format for ``--model``. + +API usage +--------- + +Declarative YAML can also be applied programmatically, by calling the +:py:func:`capellambse.decl.apply` function. It takes a (loaded) |project| +model, and either a path to a file or a file-like object. To pass in a string +containing YAML, wrap it in :external:class:`io.StringIO`: + +.. code-block:: python + :emphasize-lines: 5 + + import io, capellambse.decl + my_model = capellambse.MelodyModel(...) + my_yaml = "..." + + capellambse.decl.apply(my_model, io.StringIO(my_yaml)) + + my_model.save() + +Format description +================== + +The expected YAML follows a simple format, where a parent object (i.e. an +object that already exists in the model) is selected, and one or more of three +different operations is applied to it: + +- ``extend``-ing the object on list attributes, +- ``modify``-ing the object itself, or +- ``delete``-ing one or more children. + +Parents can be selected by their universally unique ID (UUID), using the +``!uuid`` YAML tag. The following query selects the root logical function in +our test model: + +.. code-block:: yaml + + - parent: !uuid f28ec0f8-f3b3-43a0-8af7-79f194b29a2d + +Extending objects +----------------- + +The following subsections show how to create completely new objects, or +reference and move already existing ones, using examples of declarative YAML +files on +:py:class:`~capellambse.model.common.accessors.ElementListCouplingMixin`-ish +attributes. The extension of one-to-one attributes works in the same way, +adhering to the YAML syntax. + +Creating new objects +^^^^^^^^^^^^^^^^^^^^ + +:py:class:`~capellambse.model.layers.la.LogicalFunction` objects have several +different attributes which can be modified from a declarative YAML file. For +example, it is possible to create new +sub-:py:attr:`~capellambse.model.layers.la.LogicalFunction.functions`. This +snippet creates a function with the name "brew coffee" directly below the root +function: + +.. code-block:: yaml + :emphasize-lines: 2 + + - parent: !uuid f28ec0f8-f3b3-43a0-8af7-79f194b29a2d + extend: + functions: + - name: brew coffee + +Functions can be nested arbitrarily deeply, and can also receive any other +supported attributes at the same time. The "brew coffee" function for example +could further receive nested child functions, each providing an output port: + +.. code-block:: yaml + :emphasize-lines: 4-5 + + - parent: !uuid f28ec0f8-f3b3-43a0-8af7-79f194b29a2d + extend: + functions: + - name: brew coffee + functions: + - name: grind beans + outputs: + - name: Ground Beans port + - name: heat water + outputs: + - name: Hot Water port + +While objects that already exist in the base model can be referenced with +``!uuid``, this is not possible for objects declared by the YAML file, as they +will have a random UUID assigned to ensure uniqueness. For this reason, a +promise mechanic exists, which allows to "tag" any declared object with a +``promise_id``, and later reference that object with the ``!promise`` YAML tag. +These promise IDs are user defined strings. The only requirement is that two +objects cannot receive the same ID, however they can be referenced any number +of times. This example snippet demonstrates how to declare two logical +functions, which communicate through a functional exchange: + +.. code-block:: yaml + :emphasize-lines: 7,11,14-15 + + - parent: !uuid f28ec0f8-f3b3-43a0-8af7-79f194b29a2d + extend: + functions: + - name: brew coffee + inputs: + - name: Steam port + promise_id: steam-input + - name: produce steam + outputs: + - name: Steam port + promise_id: steam-output + exchanges: + - name: Steam + source: !promise steam-output + target: !promise steam-input + +The ``!promise`` tag (and the ``!uuid`` tag as well) can be used anywhere where +a model object is expected. + +Creating new references +^^^^^^^^^^^^^^^^^^^^^^^ + +It is important to understand when new model objects are created and when only +references are added. The following example would create a reference in the +``.allocated_functions`` attribute of the +:py:class:`~capellambse.model.layers.la.LogicalComponent` which is also the +logical ``root_component`` (parent) to the logical ``root_function``: + +.. code-block:: yaml + :emphasize-lines: 2 + + - parent: !uuid 0d2edb8f-fa34-4e73-89ec-fb9a63001440 + extend: + allocated_functions: + - !uuid f28ec0f8-f3b3-43a0-8af7-79f194b29a2d + +This is caused by the type of relationship (non- +:py:class:`~capellambse.model.common.accessors.DirectProxyAccessor`) between +the parent and its ``allocated_functions``. + +It is also possible to create references to promised objects, but extra caution +for declaring ``promise_id``\ s for resolving these promises successfully: + +.. code-block:: yaml + :emphasize-lines: 5,9 + + - parent: !uuid f28ec0f8-f3b3-43a0-8af7-79f194b29a2d + extend: + functions: + - name: The promised one + promise_id: promised-fnc + - parent: !uuid 0d2edb8f-fa34-4e73-89ec-fb9a63001440 + extend: + functions: + - !promise promised-fnc + +The ``promise_id`` declaration can also happen after referencing it. + +Moving objects +^^^^^^^^^^^^^^ + +The following example would move a logical function from underneath a +:py:class:`~capellambse.model.layers.la.LogicalFunctionPkg` (accessible via +``functions``) into ``functions`` of the logical ``root_function`` (parent) +since the ``functions`` attribute has a parent/children relationship (i.e. the +:py:class:`~capellambse.model.common.accessors.DirectProxyAccessor` is used). + +.. code-block:: yaml + + - parent: !uuid f28ec0f8-f3b3-43a0-8af7-79f194b29a2d + extend: + functions: + - !uuid 8833d2dc-b862-4a50-b26c-6f7e0f17faef + +Modifying objects +----------------- + +After selecting a parent, it is also possible to directly change its properties +without introducing new objects into the model. This happens by specifying the +attributes in the ``modify:`` key. + +The following example would change the ``name`` of the root +:py:class:`~capellambse.model.layers.la.LogicalComponent` to "Coffee Machine" +(notice how we use a different UUID than before): + +.. code-block:: yaml + :emphasize-lines: 2 + + - parent: !uuid 0d2edb8f-fa34-4e73-89ec-fb9a63001440 + modify: + name: Coffee Machine + +This is not limited to string attributes; it is just as well possible to change +e.g. numeric properties. This example changes the ``min_card`` property of an +:py:class:`~capellambse.model.crosslayer.information.ExchangeItemElement` to +``0`` and the ``max_card`` to infinity, effectively removing both limitations: + +.. code-block:: yaml + :emphasize-lines: 3- + + - parent: !uuid 81b87fcc-03cf-434b-ad5b-ef18266c5a3e + modify: + min_card: 0 + max_card: .inf + +Deleting objects +---------------- + +Finally, with declarative modelling files, it is possible to delete objects +from the model. Depending on where the delete operation occurs, either the +target object is deleted entirely, or only the link to it is destroyed. + +Currently, objects to be deleted can only be selected by their UUID. + +For example, this snippet deletes the logical function named "produce Great +Wizards" from the model: + +.. code-block:: yaml + :emphasize-lines: 3 + + - parent: !uuid f28ec0f8-f3b3-43a0-8af7-79f194b29a2d + delete: + functions: + - !uuid 0e71a0d3-0a18-4671-bba0-71b5f88f95dd + +In contrast, this snippet only removes its allocation to the "Hogwarts" root +component, but the function still exists afterwards: + +.. code-block:: yaml + :emphasize-lines: 3 + + - parent: !uuid 0d2edb8f-fa34-4e73-89ec-fb9a63001440 + delete: + allocated_functions: + - !uuid 0e71a0d3-0a18-4671-bba0-71b5f88f95dd diff --git a/_sources/start/installation.rst.txt b/_sources/start/installation.rst.txt new file mode 100644 index 000000000..3feeed8fc --- /dev/null +++ b/_sources/start/installation.rst.txt @@ -0,0 +1,65 @@ +.. + SPDX-FileCopyrightText: Copyright DB Netz AG and the capellambse contributors + SPDX-License-Identifier: Apache-2.0 + +************ +Installation +************ + +.. image:: https://img.shields.io/pypi/pyversions/capellambse + :target: https://pypi.org/project/capellambse/ + :alt: PyPI - Python Version + +This guide helps you to get |project| installed. There are a few ways to get it +done: + +Install from PyPI +================= + +Installing |project| from Python Package Index via pip__ is the quickest way to +get started. + +__ http://www.pip-installer.org/ + +.. code:: bash + + pip install capellambse + +Windows +======= + +If you intend to use |project|'s PNG export functionality, you need a working +installation of cairosvg__. Unfortunately, the Windows wheels on PyPI do not +ship with all necessary libraries. However, they can be manually installed with +the `GTK for Windows Runtime Environment Installer`__. + +__ https://pypi.org/project/CairoSVG/ +__ https://github.com/tschoonj/GTK-for-Windows-Runtime-Environment-Installer/releases + +This should give you a fully functioning |project|. + +Install as a package from Github +================================ + +If you want to have a comfortable playground with examples / Jupyter notebooks +/ export to excel demo and test models you may clone the repository directly +from Github, create a virtual environment and install all the extras: + +.. code-block:: bash + + git clone https://github.com/DSD-DBS/py-capellambse.git + cd py-capellambse + python3 -m venv .venv + source .venv/bin/activate + pip install . + pip install jupyter + cd examples + jupyter-notebook + +Install for development +======================= + +In case you'd like to contribute to the development or improve documentation, +sample models or examples collection please follow the `contribution guide`__. + +__ https://github.com/DSD-DBS/py-capellambse/blob/master/CONTRIBUTING.md diff --git a/_sources/start/intro-to-api.rst.txt b/_sources/start/intro-to-api.rst.txt new file mode 100644 index 000000000..4e95cd818 --- /dev/null +++ b/_sources/start/intro-to-api.rst.txt @@ -0,0 +1,63 @@ +.. + SPDX-FileCopyrightText: Copyright DB Netz AG and the capellambse contributors + SPDX-License-Identifier: Apache-2.0 + +********************************** +Introduction to py-capellambse API +********************************** + +|project| provides access to model elements using a meta-model similar to the +one of Capella. However in this meta-model we make a few simplifications. A +collection of automated tests and design reviews help us to ensure that those +simplifications don't break compatibility with original Capella models (however +coverage isn't complete yet). + +As you may know the meta-model behind Capella is layered. There are many +packages involved and there is a long inheritance chain behind almost every +model element. We are simplifying that by "flattening" the lower layers. + +You may see an example of how that works in the figure below: + +.. image:: ../_static/img/crosslayer_intro.jpg + +In the example above we see that `LogicalFunction` is a subtype of +`AbstractFunction`, just like `SystemFunction` or `OperationalActivity`. +Because of that, all of those subtypes can be `.available_in_states` or have a +layer-specific structural `owner`, like `LogicalComponent` for +`LogicalFunction`. Any layer-specific class that inherits from `Component` may +also have `state_machines`. + +The API reference part of this documentation provides you with the complete (as +it is generated from the code base) list of available methods and attributes. + +Layer-specific packages +======================= + +The following packages enable working with model layers: + +* :mod:`capellambse.model.layers.oa` - covers Operational Analysis layer. +* :mod:`capellambse.model.layers.ctx` - covers System Analysis layer. +* :mod:`capellambse.model.layers.la` - covers Logical Architecture layer. +* :mod:`capellambse.model.layers.pa` - covers Physical Architecture layer. + +Cross-layer packages +==================== + +The following packages enable all (almost) of the layer packages: + +* :mod:`capellambse.model.crosslayer.fa` - covers Functional Analysis concerns, + defines things like AbstractFunction or FunctionalExchange +* :mod:`capellambse.model.crosslayer.cs` - covers Composite Structure concerns, + defines things like Component +* :mod:`capellambse.model.crosslayer.capellacommon` - covers common concerns, + defines things like StateMachine, State +* :mod:`capellambse.model.crosslayer.information` - covers Information + concerns, defines things like Class, DataPkg, ExchangeItem + +Extension packages +================== + +* :mod:`capellambse.extensions.reqif` - provides means for working with ReqIF + Requirements within Capella model. +* :mod:`capellambse.extensions.pvmt` - provides means for working with object + attributes created with PVMT package. diff --git a/_sources/tools/sphinx-extension.rst.txt b/_sources/tools/sphinx-extension.rst.txt new file mode 100644 index 000000000..a9224801b --- /dev/null +++ b/_sources/tools/sphinx-extension.rst.txt @@ -0,0 +1,8 @@ +.. + SPDX-FileCopyrightText: Copyright DB Netz AG and the capellambse contributors + SPDX-License-Identifier: Apache-2.0 + +The |project| Sphinx extension +============================== + +.. automodule:: capellambse.sphinx diff --git a/_static/basic.css b/_static/basic.css new file mode 100644 index 000000000..30fee9d0f --- /dev/null +++ b/_static/basic.css @@ -0,0 +1,925 @@ +/* + * basic.css + * ~~~~~~~~~ + * + * Sphinx stylesheet -- basic theme. + * + * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS. + * :license: BSD, see LICENSE for details. + * + */ + +/* -- main layout ----------------------------------------------------------- */ + +div.clearer { + clear: both; +} + +div.section::after { + display: block; + content: ''; + clear: left; +} + +/* -- relbar ---------------------------------------------------------------- */ + +div.related { + width: 100%; + font-size: 90%; +} + +div.related h3 { + display: none; +} + +div.related ul { + margin: 0; + padding: 0 0 0 10px; + list-style: none; +} + +div.related li { + display: inline; +} + +div.related li.right { + float: right; + margin-right: 5px; +} + +/* -- sidebar --------------------------------------------------------------- */ + +div.sphinxsidebarwrapper { + padding: 10px 5px 0 10px; +} + +div.sphinxsidebar { + float: left; + width: 230px; + margin-left: -100%; + font-size: 90%; + word-wrap: break-word; + overflow-wrap : break-word; +} + +div.sphinxsidebar ul { + list-style: none; +} + +div.sphinxsidebar ul ul, +div.sphinxsidebar ul.want-points { + margin-left: 20px; + list-style: square; +} + +div.sphinxsidebar ul ul { + margin-top: 0; + margin-bottom: 0; +} + +div.sphinxsidebar form { + margin-top: 10px; 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+ margin-left: auto; + margin-right: auto; +} + +table.contentstable p.biglink { + line-height: 150%; +} + +a.biglink { + font-size: 1.3em; +} + +span.linkdescr { + font-style: italic; + padding-top: 5px; + font-size: 90%; +} + +/* -- general index --------------------------------------------------------- */ + +table.indextable { + width: 100%; +} + +table.indextable td { + text-align: left; + vertical-align: top; +} + +table.indextable ul { + margin-top: 0; + margin-bottom: 0; + list-style-type: none; +} + +table.indextable > tbody > tr > td > ul { + padding-left: 0em; +} + +table.indextable tr.pcap { + height: 10px; +} + +table.indextable tr.cap { + margin-top: 10px; + background-color: #f2f2f2; +} + +img.toggler { + margin-right: 3px; + margin-top: 3px; + cursor: pointer; +} + +div.modindex-jumpbox { + border-top: 1px solid #ddd; + border-bottom: 1px solid #ddd; + margin: 1em 0 1em 0; + padding: 0.4em; +} + +div.genindex-jumpbox { + border-top: 1px solid #ddd; + border-bottom: 1px solid #ddd; + margin: 1em 0 1em 0; + padding: 0.4em; +} + +/* -- domain module index --------------------------------------------------- */ + +table.modindextable td { + padding: 2px; + border-collapse: collapse; +} + +/* -- general body styles --------------------------------------------------- */ + +div.body { + min-width: 360px; + max-width: 800px; +} + +div.body p, div.body dd, div.body li, div.body blockquote { + -moz-hyphens: auto; + -ms-hyphens: auto; + -webkit-hyphens: auto; + hyphens: auto; +} + +a.headerlink { + visibility: hidden; +} + +a:visited { + color: #551A8B; +} + +h1:hover > a.headerlink, +h2:hover > a.headerlink, +h3:hover > a.headerlink, +h4:hover > a.headerlink, +h5:hover > a.headerlink, +h6:hover > a.headerlink, +dt:hover > a.headerlink, +caption:hover > a.headerlink, +p.caption:hover > a.headerlink, +div.code-block-caption:hover > a.headerlink { + visibility: visible; +} + +div.body p.caption { + text-align: inherit; +} + +div.body td { + text-align: left; +} + +.first { + margin-top: 0 !important; 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+} + +th > :last-child, +td > :last-child { + margin-bottom: 0px; +} + +/* -- figures --------------------------------------------------------------- */ + +div.figure, figure { + margin: 0.5em; + padding: 0.5em; +} + +div.figure p.caption, figcaption { + padding: 0.3em; +} + +div.figure p.caption span.caption-number, +figcaption span.caption-number { + font-style: italic; +} + +div.figure p.caption span.caption-text, +figcaption span.caption-text { +} + +/* -- field list styles ----------------------------------------------------- */ + +table.field-list td, table.field-list th { + border: 0 !important; +} + +.field-list ul { + margin: 0; + padding-left: 1em; +} + +.field-list p { + margin: 0; +} + +.field-name { + -moz-hyphens: manual; + -ms-hyphens: manual; + -webkit-hyphens: manual; + hyphens: manual; +} + +/* -- hlist styles ---------------------------------------------------------- */ + +table.hlist { + margin: 1em 0; +} + +table.hlist td { + vertical-align: top; +} + +/* -- object description styles --------------------------------------------- */ + +.sig { + font-family: 'Consolas', 'Menlo', 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', monospace; 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+} + +table.highlighttable tbody { + display: block; +} + +table.highlighttable tr { + display: flex; +} + +table.highlighttable td { + margin: 0; + padding: 0; +} + +table.highlighttable td.linenos { + padding-right: 0.5em; +} + +table.highlighttable td.code { + flex: 1; + overflow: hidden; +} + +.highlight .hll { + display: block; +} + +div.highlight pre, +table.highlighttable pre { + margin: 0; +} + +div.code-block-caption + div { + margin-top: 0; +} + +div.code-block-caption { + margin-top: 1em; + padding: 2px 5px; + font-size: small; +} + +div.code-block-caption code { + background-color: transparent; +} + +table.highlighttable td.linenos, +span.linenos, +div.highlight span.gp { /* gp: Generic.Prompt */ + user-select: none; + -webkit-user-select: text; /* Safari fallback only */ + -webkit-user-select: none; /* Chrome/Safari */ + -moz-user-select: none; /* Firefox */ + -ms-user-select: none; /* IE10+ */ +} + +div.code-block-caption span.caption-number { + padding: 0.1em 0.3em; + font-style: italic; +} + +div.code-block-caption span.caption-text { +} + +div.literal-block-wrapper { + margin: 1em 0; +} + +code.xref, a code { + background-color: transparent; + font-weight: bold; +} + +h1 code, h2 code, h3 code, h4 code, h5 code, h6 code { + background-color: transparent; +} + +.viewcode-link { + float: right; +} + +.viewcode-back { + float: right; + font-family: sans-serif; +} + +div.viewcode-block:target { + margin: -1px -10px; + padding: 0 10px; +} + +/* -- math display ---------------------------------------------------------- */ + +img.math { + vertical-align: middle; +} + +div.body div.math p { + text-align: center; +} + +span.eqno { + float: right; +} + +span.eqno a.headerlink { + position: absolute; + z-index: 1; +} + +div.math:hover a.headerlink { + visibility: visible; +} + +/* -- printout stylesheet --------------------------------------------------- */ + +@media print { + div.document, + div.documentwrapper, + div.bodywrapper { + margin: 0 !important; + width: 100%; + } + + div.sphinxsidebar, + div.related, + div.footer, + #top-link { + display: none; + } +} \ No newline at end of file diff --git a/_static/debug.css b/_static/debug.css new file mode 100644 index 000000000..74d4aec33 --- /dev/null +++ b/_static/debug.css @@ -0,0 +1,69 @@ +/* + This CSS file should be overridden by the theme authors. It's + meant for debugging and developing the skeleton that this theme provides. +*/ +body { + font-family: -apple-system, "Segoe UI", Roboto, Helvetica, Arial, sans-serif, + "Apple Color Emoji", "Segoe UI Emoji"; + background: lavender; +} +.sb-announcement { + background: rgb(131, 131, 131); +} +.sb-announcement__inner { + background: black; + color: white; +} +.sb-header { + background: lightskyblue; +} +.sb-header__inner { + background: royalblue; + color: white; +} +.sb-header-secondary { + background: lightcyan; +} +.sb-header-secondary__inner { + background: cornflowerblue; + color: white; +} +.sb-sidebar-primary { + background: lightgreen; +} +.sb-main { + background: blanchedalmond; +} +.sb-main__inner { + background: antiquewhite; +} +.sb-header-article { + background: lightsteelblue; +} +.sb-article-container { + background: snow; +} +.sb-article-main { + background: white; +} +.sb-footer-article { + background: lightpink; +} +.sb-sidebar-secondary { + background: lightgoldenrodyellow; +} +.sb-footer-content { + background: plum; +} +.sb-footer-content__inner { + background: palevioletred; +} +.sb-footer { + background: pink; +} +.sb-footer__inner { + background: salmon; +} +.sb-article { + background: white; +} diff --git a/_static/doctools.js b/_static/doctools.js new file mode 100644 index 000000000..d06a71d75 --- /dev/null +++ b/_static/doctools.js @@ -0,0 +1,156 @@ +/* + * doctools.js + * ~~~~~~~~~~~ + * + * Base JavaScript utilities for all Sphinx HTML documentation. + * + * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS. + * :license: BSD, see LICENSE for details. + * + */ +"use strict"; + +const BLACKLISTED_KEY_CONTROL_ELEMENTS = new Set([ + "TEXTAREA", + "INPUT", + "SELECT", + "BUTTON", +]); + +const _ready = (callback) => { + if (document.readyState !== "loading") { + callback(); + } else { + document.addEventListener("DOMContentLoaded", callback); + } +}; + +/** + * Small JavaScript module for the documentation. + */ +const Documentation = { + init: () => { + Documentation.initDomainIndexTable(); + Documentation.initOnKeyListeners(); + }, + + /** + * i18n support + */ + TRANSLATIONS: {}, + PLURAL_EXPR: (n) => (n === 1 ? 0 : 1), + LOCALE: "unknown", + + // gettext and ngettext don't access this so that the functions + // can safely bound to a different name (_ = Documentation.gettext) + gettext: (string) => { + const translated = Documentation.TRANSLATIONS[string]; + switch (typeof translated) { + case "undefined": + return string; // no translation + case "string": + return translated; // translation exists + default: + return translated[0]; // (singular, plural) translation tuple exists + } + }, + + ngettext: (singular, plural, n) => { + const translated = Documentation.TRANSLATIONS[singular]; + if (typeof translated !== "undefined") + return translated[Documentation.PLURAL_EXPR(n)]; + return n === 1 ? singular : plural; + }, + + addTranslations: (catalog) => { + Object.assign(Documentation.TRANSLATIONS, catalog.messages); + Documentation.PLURAL_EXPR = new Function( + "n", + `return (${catalog.plural_expr})` + ); + Documentation.LOCALE = catalog.locale; + }, + + /** + * helper function to focus on search bar + */ + focusSearchBar: () => { + document.querySelectorAll("input[name=q]")[0]?.focus(); + }, + + /** + * Initialise the domain index toggle buttons + */ + initDomainIndexTable: () => { + const toggler = (el) => { + const idNumber = el.id.substr(7); + const toggledRows = document.querySelectorAll(`tr.cg-${idNumber}`); + if (el.src.substr(-9) === "minus.png") { + el.src = `${el.src.substr(0, el.src.length - 9)}plus.png`; + toggledRows.forEach((el) => (el.style.display = "none")); + } else { + el.src = `${el.src.substr(0, el.src.length - 8)}minus.png`; + toggledRows.forEach((el) => (el.style.display = "")); + } + }; + + const togglerElements = document.querySelectorAll("img.toggler"); + togglerElements.forEach((el) => + el.addEventListener("click", (event) => toggler(event.currentTarget)) + ); + togglerElements.forEach((el) => (el.style.display = "")); + if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) togglerElements.forEach(toggler); + }, + + initOnKeyListeners: () => { + // only install a listener if it is really needed + if ( + !DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS && + !DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS + ) + return; + + document.addEventListener("keydown", (event) => { + // bail for input elements + if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return; + // bail with special keys + if (event.altKey || event.ctrlKey || event.metaKey) return; + + if (!event.shiftKey) { + switch (event.key) { + case "ArrowLeft": + if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break; + + const prevLink = document.querySelector('link[rel="prev"]'); + if (prevLink && prevLink.href) { + window.location.href = prevLink.href; + event.preventDefault(); + } + break; + case "ArrowRight": + if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break; + + const nextLink = document.querySelector('link[rel="next"]'); + if (nextLink && nextLink.href) { + window.location.href = nextLink.href; + event.preventDefault(); + } + break; + } + } + + // some keyboard layouts may need Shift to get / + switch (event.key) { + case "/": + if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) break; + Documentation.focusSearchBar(); + event.preventDefault(); + } + }); + }, +}; + +// quick alias for translations +const _ = Documentation.gettext; + +_ready(Documentation.init); diff --git a/_static/documentation_options.js b/_static/documentation_options.js new file mode 100644 index 000000000..7e4c114f2 --- /dev/null +++ b/_static/documentation_options.js @@ -0,0 +1,13 @@ +const DOCUMENTATION_OPTIONS = { + VERSION: '', + LANGUAGE: 'en', + COLLAPSE_INDEX: false, + BUILDER: 'html', + FILE_SUFFIX: '.html', + LINK_SUFFIX: '.html', + HAS_SOURCE: true, + SOURCELINK_SUFFIX: '.txt', + 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by searchtools.js, + * namely the list of stopwords, stemmer, scorer and splitter. + * + * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS. + * :license: BSD, see LICENSE for details. + * + */ + +var stopwords = ["a", "and", "are", "as", "at", "be", "but", "by", "for", "if", "in", "into", "is", "it", "near", "no", "not", "of", "on", "or", "such", "that", "the", "their", "then", "there", "these", "they", "this", "to", "was", "will", "with"]; + + +/* Non-minified version is copied as a separate JS file, is available */ + +/** + * Porter Stemmer + */ +var Stemmer = function() { + + var step2list = { + ational: 'ate', + tional: 'tion', + enci: 'ence', + anci: 'ance', + izer: 'ize', + bli: 'ble', + alli: 'al', + entli: 'ent', + eli: 'e', + ousli: 'ous', + ization: 'ize', + ation: 'ate', + ator: 'ate', + alism: 'al', + iveness: 'ive', + fulness: 'ful', + ousness: 'ous', + aliti: 'al', + iviti: 'ive', + biliti: 'ble', + logi: 'log' + }; + + var step3list = { + icate: 'ic', + ative: '', + alize: 'al', + iciti: 'ic', + ical: 'ic', + ful: '', + ness: '' + }; + + var c = "[^aeiou]"; // consonant + var v = "[aeiouy]"; // vowel + var C = c + "[^aeiouy]*"; // consonant sequence + var V = v + "[aeiou]*"; // vowel sequence + + var mgr0 = "^(" + C + ")?" + V + C; // [C]VC... is m>0 + var meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$"; // [C]VC[V] is m=1 + var mgr1 = "^(" + C + ")?" + V + C + V + C; // [C]VCVC... is m>1 + var s_v = "^(" + C + ")?" + v; // vowel in stem + + this.stemWord = function (w) { + var stem; + var suffix; + var firstch; + var origword = w; + + if (w.length < 3) + return w; + + var re; + var re2; + var re3; + var re4; + + firstch = w.substr(0,1); + if (firstch == "y") + w = firstch.toUpperCase() + w.substr(1); + + // Step 1a + re = /^(.+?)(ss|i)es$/; + re2 = /^(.+?)([^s])s$/; + + if (re.test(w)) + w = w.replace(re,"$1$2"); + else if (re2.test(w)) + w = w.replace(re2,"$1$2"); + + // Step 1b + re = /^(.+?)eed$/; + re2 = /^(.+?)(ed|ing)$/; + if (re.test(w)) { + var fp = re.exec(w); + re = new RegExp(mgr0); + if (re.test(fp[1])) { + re = /.$/; + w = w.replace(re,""); + } + } + else if (re2.test(w)) { + var fp = re2.exec(w); + stem = fp[1]; + re2 = new RegExp(s_v); + if (re2.test(stem)) { + w = stem; + re2 = /(at|bl|iz)$/; + re3 = new RegExp("([^aeiouylsz])\\1$"); + re4 = new RegExp("^" + C + v + "[^aeiouwxy]$"); + if (re2.test(w)) + w = w + "e"; + else if (re3.test(w)) { + re = /.$/; + w = w.replace(re,""); + } + else if (re4.test(w)) + w = w + "e"; + } + } + + // Step 1c + re = /^(.+?)y$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + re = new RegExp(s_v); + if (re.test(stem)) + w = stem + "i"; + } + + // Step 2 + re = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + suffix = fp[2]; + re = new RegExp(mgr0); + if (re.test(stem)) + w = stem + step2list[suffix]; + } + + // Step 3 + re = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + suffix = fp[2]; + re = new RegExp(mgr0); + if (re.test(stem)) + w = stem + step3list[suffix]; + } + + // Step 4 + re = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/; + re2 = /^(.+?)(s|t)(ion)$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + re = new RegExp(mgr1); + if (re.test(stem)) + w = stem; + } + else if (re2.test(w)) { + var fp = re2.exec(w); + stem = fp[1] + fp[2]; + re2 = new RegExp(mgr1); + if (re2.test(stem)) + w = stem; + } + + // Step 5 + re = /^(.+?)e$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + re = new RegExp(mgr1); + re2 = new RegExp(meq1); + re3 = new RegExp("^" + C + v + "[^aeiouwxy]$"); + if (re.test(stem) || (re2.test(stem) && !(re3.test(stem)))) + w = stem; + } + re = /ll$/; + re2 = new RegExp(mgr1); + if (re.test(w) && re2.test(w)) { + re = /.$/; + w = 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false,\n nestedClass: \"active\",\n\n // Offset & reflow\n offset: 0,\n reflow: false,\n\n // Event support\n events: true,\n };\n\n //\n // Methods\n //\n\n /**\n * Merge two or more objects together.\n * @param {Object} objects The objects to merge together\n * @returns {Object} Merged values of defaults and options\n */\n var extend = function () {\n var merged = {};\n Array.prototype.forEach.call(arguments, function (obj) {\n for (var key in obj) {\n if (!obj.hasOwnProperty(key)) return;\n merged[key] = obj[key];\n }\n });\n return merged;\n };\n\n /**\n * Emit a custom event\n * @param {String} type The event type\n * @param {Node} elem The element to attach the event to\n * @param {Object} detail Any details to pass along with the event\n */\n var emitEvent = function (type, elem, detail) {\n // Make sure events are enabled\n if (!detail.settings.events) return;\n\n // Create a new event\n var event = new CustomEvent(type, {\n bubbles: true,\n cancelable: true,\n detail: detail,\n });\n\n // Dispatch the event\n elem.dispatchEvent(event);\n };\n\n /**\n * Get an element's distance from the top of the Document.\n * @param {Node} elem The element\n * @return {Number} Distance from the top in pixels\n */\n var getOffsetTop = function (elem) {\n var location = 0;\n if (elem.offsetParent) {\n while (elem) {\n location += elem.offsetTop;\n elem = elem.offsetParent;\n }\n }\n return location >= 0 ? location : 0;\n };\n\n /**\n * Sort content from first to last in the DOM\n * @param {Array} contents The content areas\n */\n var sortContents = function (contents) {\n if (contents) {\n contents.sort(function (item1, item2) {\n var offset1 = getOffsetTop(item1.content);\n var offset2 = getOffsetTop(item2.content);\n if (offset1 < offset2) return -1;\n return 1;\n });\n }\n };\n\n /**\n * Get the offset to use for calculating position\n * @param {Object} settings The settings for this instantiation\n * @return {Float} The number of pixels to offset the calculations\n */\n var getOffset = function (settings) {\n // if the offset is a function run it\n if (typeof settings.offset === \"function\") {\n return parseFloat(settings.offset());\n }\n\n // Otherwise, return it as-is\n return parseFloat(settings.offset);\n };\n\n /**\n * Get the document element's height\n * @private\n * @returns {Number}\n */\n var getDocumentHeight = function () {\n return Math.max(\n document.body.scrollHeight,\n document.documentElement.scrollHeight,\n document.body.offsetHeight,\n document.documentElement.offsetHeight,\n document.body.clientHeight,\n document.documentElement.clientHeight,\n );\n };\n\n /**\n * Determine if an element is in view\n * @param {Node} elem The element\n * @param {Object} settings The settings for this instantiation\n * @param {Boolean} bottom If true, check if element is above bottom of viewport instead\n * @return {Boolean} Returns true if element is in the viewport\n */\n var isInView = function (elem, settings, bottom) {\n var bounds = elem.getBoundingClientRect();\n var offset = getOffset(settings);\n if (bottom) {\n return (\n parseInt(bounds.bottom, 10) <\n (window.innerHeight || document.documentElement.clientHeight)\n );\n }\n return parseInt(bounds.top, 10) <= offset;\n };\n\n /**\n * Check if at the bottom of the viewport\n * @return {Boolean} If true, page is at the bottom of the viewport\n */\n var isAtBottom = function () {\n if (\n Math.ceil(window.innerHeight + window.pageYOffset) >=\n getDocumentHeight()\n )\n return true;\n return false;\n };\n\n /**\n * Check if the last item should be used (even if not at the top of the page)\n * @param {Object} item The last item\n * @param {Object} settings The settings for this instantiation\n * @return {Boolean} If true, use the last item\n */\n var useLastItem = function (item, settings) {\n if (isAtBottom() && isInView(item.content, settings, true)) return true;\n return false;\n };\n\n /**\n * Get the active content\n * @param {Array} contents The content areas\n * @param {Object} settings The settings for this instantiation\n * @return {Object} The content area and matching navigation link\n */\n var getActive = function (contents, settings) {\n var last = contents[contents.length - 1];\n if (useLastItem(last, settings)) return last;\n for (var i = contents.length - 1; i >= 0; i--) {\n if (isInView(contents[i].content, settings)) return contents[i];\n }\n };\n\n /**\n * Deactivate parent navs in a nested navigation\n * @param {Node} nav The starting navigation element\n * @param {Object} settings The settings for this instantiation\n */\n var deactivateNested = function (nav, settings) {\n // If nesting isn't activated, bail\n if (!settings.nested || !nav.parentNode) return;\n\n // Get the parent navigation\n var li = nav.parentNode.closest(\"li\");\n if (!li) return;\n\n // Remove the active class\n li.classList.remove(settings.nestedClass);\n\n // Apply recursively to any parent navigation elements\n deactivateNested(li, settings);\n };\n\n /**\n * Deactivate a nav and content area\n * @param {Object} items The nav item and content to deactivate\n * @param {Object} settings The settings for this instantiation\n */\n var deactivate = function (items, settings) {\n // Make sure there are items to deactivate\n if (!items) return;\n\n // Get the parent list item\n var li = items.nav.closest(\"li\");\n if (!li) return;\n\n // Remove the active class from the nav and content\n li.classList.remove(settings.navClass);\n items.content.classList.remove(settings.contentClass);\n\n // Deactivate any parent navs in a nested navigation\n deactivateNested(li, settings);\n\n // Emit a custom event\n emitEvent(\"gumshoeDeactivate\", li, {\n link: items.nav,\n content: items.content,\n settings: settings,\n });\n };\n\n /**\n * Activate parent navs in a nested navigation\n * @param {Node} nav The starting navigation element\n * @param {Object} settings The settings for this instantiation\n */\n var activateNested = function (nav, settings) {\n // If nesting isn't activated, bail\n if (!settings.nested) return;\n\n // Get the parent navigation\n var li = nav.parentNode.closest(\"li\");\n if (!li) return;\n\n // Add the active class\n li.classList.add(settings.nestedClass);\n\n // Apply recursively to any parent navigation elements\n activateNested(li, settings);\n };\n\n /**\n * Activate a nav and content area\n * @param {Object} items The nav item and content to activate\n * @param {Object} settings The settings for this instantiation\n */\n var activate = function (items, settings) {\n // Make sure there are items to activate\n if (!items) return;\n\n // Get the parent list item\n var li = items.nav.closest(\"li\");\n if (!li) return;\n\n // Add the active class to the nav and content\n li.classList.add(settings.navClass);\n items.content.classList.add(settings.contentClass);\n\n // Activate any parent navs in a nested navigation\n activateNested(li, settings);\n\n // Emit a custom event\n emitEvent(\"gumshoeActivate\", li, {\n link: items.nav,\n content: items.content,\n settings: settings,\n });\n };\n\n /**\n * Create the Constructor object\n * @param {String} selector The selector to use for navigation items\n * @param {Object} options User options and settings\n */\n var Constructor = function (selector, options) {\n //\n // Variables\n //\n\n var publicAPIs = {};\n var navItems, contents, current, timeout, settings;\n\n //\n // Methods\n //\n\n /**\n * Set variables from DOM elements\n */\n publicAPIs.setup = function () {\n // Get all nav items\n navItems = document.querySelectorAll(selector);\n\n // Create contents array\n contents = [];\n\n // Loop through each item, get it's matching content, and push to the array\n Array.prototype.forEach.call(navItems, function (item) {\n // Get the content for the nav item\n var content = document.getElementById(\n decodeURIComponent(item.hash.substr(1)),\n );\n if (!content) return;\n\n // Push to the contents array\n 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\ No newline at end of file diff --git a/_static/searchtools.js b/_static/searchtools.js new file mode 100644 index 000000000..7918c3fab --- /dev/null +++ b/_static/searchtools.js @@ -0,0 +1,574 @@ +/* + * searchtools.js + * ~~~~~~~~~~~~~~~~ + * + * Sphinx JavaScript utilities for the full-text search. + * + * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS. + * :license: BSD, see LICENSE for details. + * + */ +"use strict"; + +/** + * Simple result scoring code. + */ +if (typeof Scorer === "undefined") { + var Scorer = { + // Implement the following function to further tweak the score for each result + // The function takes a result array [docname, title, anchor, descr, score, filename] + // and returns the new score. + /* + score: result => { + const [docname, title, anchor, descr, score, filename] = result + return score + }, + */ + + // query matches the full name of an object + objNameMatch: 11, + // or matches in the last dotted part of the object name + objPartialMatch: 6, + // Additive scores depending on the priority of the object + objPrio: { + 0: 15, // used to be importantResults + 1: 5, // used to be objectResults + 2: -5, // used to be unimportantResults + }, + // Used when the priority is not in the mapping. + objPrioDefault: 0, + + // query found in title + title: 15, + partialTitle: 7, + // query found in terms + term: 5, + partialTerm: 2, + }; +} + +const _removeChildren = (element) => { + while (element && element.lastChild) element.removeChild(element.lastChild); +}; + +/** + * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Regular_Expressions#escaping + */ +const _escapeRegExp = (string) => + string.replace(/[.*+\-?^${}()|[\]\\]/g, "\\$&"); // $& means the whole matched string + +const _displayItem = (item, searchTerms, highlightTerms) => { + const docBuilder = DOCUMENTATION_OPTIONS.BUILDER; + const docFileSuffix = DOCUMENTATION_OPTIONS.FILE_SUFFIX; + const docLinkSuffix = DOCUMENTATION_OPTIONS.LINK_SUFFIX; + const showSearchSummary = DOCUMENTATION_OPTIONS.SHOW_SEARCH_SUMMARY; + const contentRoot = document.documentElement.dataset.content_root; + + const [docName, title, anchor, descr, score, _filename] = item; + + let listItem = document.createElement("li"); + let requestUrl; + let linkUrl; + if (docBuilder === "dirhtml") { + // dirhtml builder + let dirname = docName + "/"; + if (dirname.match(/\/index\/$/)) + dirname = dirname.substring(0, dirname.length - 6); + else if (dirname === "index/") dirname = ""; + requestUrl = contentRoot + dirname; + linkUrl = requestUrl; + } else { + // normal html builders + requestUrl = contentRoot + docName + docFileSuffix; + linkUrl = docName + docLinkSuffix; + } + let linkEl = listItem.appendChild(document.createElement("a")); + linkEl.href = linkUrl + anchor; + linkEl.dataset.score = score; + linkEl.innerHTML = title; + if (descr) { + listItem.appendChild(document.createElement("span")).innerHTML = + " (" + descr + ")"; + // highlight search terms in the description + if (SPHINX_HIGHLIGHT_ENABLED) // set in sphinx_highlight.js + highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted")); + } + else if (showSearchSummary) + fetch(requestUrl) + .then((responseData) => responseData.text()) + .then((data) => { + if (data) + listItem.appendChild( + Search.makeSearchSummary(data, searchTerms) + ); + // highlight search terms in the summary + if (SPHINX_HIGHLIGHT_ENABLED) // set in sphinx_highlight.js + highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted")); + }); + Search.output.appendChild(listItem); +}; +const _finishSearch = (resultCount) => { + Search.stopPulse(); + Search.title.innerText = _("Search Results"); + if (!resultCount) + Search.status.innerText = Documentation.gettext( + "Your search did not match any documents. Please make sure that all words are spelled correctly and that you've selected enough categories." + ); + else + Search.status.innerText = _( + `Search finished, found ${resultCount} page(s) matching the search query.` + ); +}; +const _displayNextItem = ( + results, + resultCount, + searchTerms, + highlightTerms, +) => { + // results left, load the summary and display it + // this is intended to be dynamic (don't sub resultsCount) + if (results.length) { + _displayItem(results.pop(), searchTerms, highlightTerms); + setTimeout( + () => _displayNextItem(results, resultCount, searchTerms, highlightTerms), + 5 + ); + } + // search finished, update title and status message + else _finishSearch(resultCount); +}; + +/** + * Default splitQuery function. Can be overridden in ``sphinx.search`` with a + * custom function per language. + * + * The regular expression works by splitting the string on consecutive characters + * that are not Unicode letters, numbers, underscores, or emoji characters. + * This is the same as ``\W+`` in Python, preserving the surrogate pair area. + */ +if (typeof splitQuery === "undefined") { + var splitQuery = (query) => query + .split(/[^\p{Letter}\p{Number}_\p{Emoji_Presentation}]+/gu) + .filter(term => term) // remove remaining empty strings +} + +/** + * Search Module + */ +const Search = { + _index: null, + _queued_query: null, + _pulse_status: -1, + + htmlToText: (htmlString) => { + const htmlElement = new DOMParser().parseFromString(htmlString, 'text/html'); + htmlElement.querySelectorAll(".headerlink").forEach((el) => { el.remove() }); + const docContent = htmlElement.querySelector('[role="main"]'); + if (docContent !== undefined) return docContent.textContent; + console.warn( + "Content block not found. Sphinx search tries to obtain it via '[role=main]'. Could you check your theme or template." + ); + return ""; + }, + + init: () => { + const query = new URLSearchParams(window.location.search).get("q"); + document + .querySelectorAll('input[name="q"]') + .forEach((el) => (el.value = query)); + if (query) Search.performSearch(query); + }, + + loadIndex: (url) => + (document.body.appendChild(document.createElement("script")).src = url), + + setIndex: (index) => { + Search._index = index; + if (Search._queued_query !== null) { + const query = Search._queued_query; + Search._queued_query = null; + Search.query(query); + } + }, + + hasIndex: () => Search._index !== null, + + deferQuery: (query) => (Search._queued_query = query), + + stopPulse: () => (Search._pulse_status = -1), + + startPulse: () => { + if (Search._pulse_status >= 0) return; + + const pulse = () => { + Search._pulse_status = (Search._pulse_status + 1) % 4; + Search.dots.innerText = ".".repeat(Search._pulse_status); + if (Search._pulse_status >= 0) window.setTimeout(pulse, 500); + }; + pulse(); + }, + + /** + * perform a search for something (or wait until index is loaded) + */ + performSearch: (query) => { + // create the required interface elements + const searchText = document.createElement("h2"); + searchText.textContent = _("Searching"); + const searchSummary = document.createElement("p"); + searchSummary.classList.add("search-summary"); + searchSummary.innerText = ""; + const searchList = document.createElement("ul"); + searchList.classList.add("search"); + + const out = document.getElementById("search-results"); + Search.title = out.appendChild(searchText); + Search.dots = Search.title.appendChild(document.createElement("span")); + Search.status = out.appendChild(searchSummary); + Search.output = out.appendChild(searchList); + + const searchProgress = document.getElementById("search-progress"); + // Some themes don't use the search progress node + if (searchProgress) { + searchProgress.innerText = _("Preparing search..."); + } + Search.startPulse(); + + // index already loaded, the browser was quick! + if (Search.hasIndex()) Search.query(query); + else Search.deferQuery(query); + }, + + /** + * execute search (requires search index to be loaded) + */ + query: (query) => { + const filenames = Search._index.filenames; + const docNames = Search._index.docnames; + const titles = Search._index.titles; + const allTitles = Search._index.alltitles; + const indexEntries = Search._index.indexentries; + + // stem the search terms and add them to the correct list + const stemmer = new Stemmer(); + const searchTerms = new Set(); + const excludedTerms = new Set(); + const highlightTerms = new Set(); + const objectTerms = new Set(splitQuery(query.toLowerCase().trim())); + splitQuery(query.trim()).forEach((queryTerm) => { + const queryTermLower = queryTerm.toLowerCase(); + + // maybe skip this "word" + // stopwords array is from language_data.js + if ( + stopwords.indexOf(queryTermLower) !== -1 || + queryTerm.match(/^\d+$/) + ) + return; + + // stem the word + let word = stemmer.stemWord(queryTermLower); + // select the correct list + if (word[0] === "-") excludedTerms.add(word.substr(1)); + else { + searchTerms.add(word); + highlightTerms.add(queryTermLower); + } + }); + + if (SPHINX_HIGHLIGHT_ENABLED) { // set in sphinx_highlight.js + localStorage.setItem("sphinx_highlight_terms", [...highlightTerms].join(" ")) + } + + // console.debug("SEARCH: searching for:"); + // console.info("required: ", [...searchTerms]); + // console.info("excluded: ", [...excludedTerms]); + + // array of [docname, title, anchor, descr, score, filename] + let results = []; + _removeChildren(document.getElementById("search-progress")); + + const queryLower = query.toLowerCase(); + for (const [title, foundTitles] of Object.entries(allTitles)) { + if (title.toLowerCase().includes(queryLower) && (queryLower.length >= title.length/2)) { + for (const [file, id] of foundTitles) { + let score = Math.round(100 * queryLower.length / title.length) + results.push([ + docNames[file], + titles[file] !== title ? `${titles[file]} > ${title}` : title, + id !== null ? "#" + id : "", + null, + score, + filenames[file], + ]); + } + } + } + + // search for explicit entries in index directives + for (const [entry, foundEntries] of Object.entries(indexEntries)) { + if (entry.includes(queryLower) && (queryLower.length >= entry.length/2)) { + for (const [file, id] of foundEntries) { + let score = Math.round(100 * queryLower.length / entry.length) + results.push([ + docNames[file], + titles[file], + id ? "#" + id : "", + null, + score, + filenames[file], + ]); + } + } + } + + // lookup as object + objectTerms.forEach((term) => + results.push(...Search.performObjectSearch(term, objectTerms)) + ); + + // lookup as search terms in fulltext + results.push(...Search.performTermsSearch(searchTerms, excludedTerms)); + + // let the scorer override scores with a custom scoring function + if (Scorer.score) results.forEach((item) => (item[4] = Scorer.score(item))); + + // now sort the results by score (in opposite order of appearance, since the + // display function below uses pop() to retrieve items) and then + // alphabetically + results.sort((a, b) => { + const leftScore = a[4]; + const rightScore = b[4]; + if (leftScore === rightScore) { + // same score: sort alphabetically + const leftTitle = a[1].toLowerCase(); + const rightTitle = b[1].toLowerCase(); + if (leftTitle === rightTitle) return 0; + return leftTitle > rightTitle ? -1 : 1; // inverted is intentional + } + return leftScore > rightScore ? 1 : -1; + }); + + // remove duplicate search results + // note the reversing of results, so that in the case of duplicates, the highest-scoring entry is kept + let seen = new Set(); + results = results.reverse().reduce((acc, result) => { + let resultStr = result.slice(0, 4).concat([result[5]]).map(v => String(v)).join(','); + if (!seen.has(resultStr)) { + acc.push(result); + seen.add(resultStr); + } + return acc; + }, []); + + results = results.reverse(); + + // for debugging + //Search.lastresults = results.slice(); // a copy + // console.info("search results:", Search.lastresults); + + // print the results + _displayNextItem(results, results.length, searchTerms, highlightTerms); + }, + + /** + * search for object names + */ + performObjectSearch: (object, objectTerms) => { + const filenames = Search._index.filenames; + const docNames = Search._index.docnames; + const objects = Search._index.objects; + const objNames = Search._index.objnames; + const titles = Search._index.titles; + + const results = []; + + const objectSearchCallback = (prefix, match) => { + const name = match[4] + const fullname = (prefix ? prefix + "." : "") + name; + const fullnameLower = fullname.toLowerCase(); + if (fullnameLower.indexOf(object) < 0) return; + + let score = 0; + const parts = fullnameLower.split("."); + + // check for different match types: exact matches of full name or + // "last name" (i.e. last dotted part) + if (fullnameLower === object || parts.slice(-1)[0] === object) + score += Scorer.objNameMatch; + else if (parts.slice(-1)[0].indexOf(object) > -1) + score += Scorer.objPartialMatch; // matches in last name + + const objName = objNames[match[1]][2]; + const title = titles[match[0]]; + + // If more than one term searched for, we require other words to be + // found in the name/title/description + const otherTerms = new Set(objectTerms); + otherTerms.delete(object); + if (otherTerms.size > 0) { + const haystack = `${prefix} ${name} ${objName} ${title}`.toLowerCase(); + if ( + [...otherTerms].some((otherTerm) => haystack.indexOf(otherTerm) < 0) + ) + return; + } + + let anchor = match[3]; + if (anchor === "") anchor = fullname; + else if (anchor === "-") anchor = objNames[match[1]][1] + "-" + fullname; + + const descr = objName + _(", in ") + title; + + // add custom score for some objects according to scorer + if (Scorer.objPrio.hasOwnProperty(match[2])) + score += Scorer.objPrio[match[2]]; + else score += Scorer.objPrioDefault; + + results.push([ + docNames[match[0]], + fullname, + "#" + anchor, + descr, + score, + filenames[match[0]], + ]); + }; + Object.keys(objects).forEach((prefix) => + objects[prefix].forEach((array) => + objectSearchCallback(prefix, array) + ) + ); + return results; + }, + + /** + * search for full-text terms in the index + */ + performTermsSearch: (searchTerms, excludedTerms) => { + // prepare search + const terms = Search._index.terms; + const titleTerms = Search._index.titleterms; + const filenames = Search._index.filenames; + const docNames = Search._index.docnames; + const titles = Search._index.titles; + + const scoreMap = new Map(); + const fileMap = new Map(); + + // perform the search on the required terms + searchTerms.forEach((word) => { + const files = []; + const arr = [ + { files: terms[word], score: Scorer.term }, + { files: titleTerms[word], score: Scorer.title }, + ]; + // add support for partial matches + if (word.length > 2) { + const escapedWord = _escapeRegExp(word); + Object.keys(terms).forEach((term) => { + if (term.match(escapedWord) && !terms[word]) + arr.push({ files: terms[term], score: Scorer.partialTerm }); + }); + Object.keys(titleTerms).forEach((term) => { + if (term.match(escapedWord) && !titleTerms[word]) + arr.push({ files: titleTerms[word], score: Scorer.partialTitle }); + }); + } + + // no match but word was a required one + if (arr.every((record) => record.files === undefined)) return; + + // found search word in contents + arr.forEach((record) => { + if (record.files === undefined) return; + + let recordFiles = record.files; + if (recordFiles.length === undefined) recordFiles = [recordFiles]; + files.push(...recordFiles); + + // set score for the word in each file + recordFiles.forEach((file) => { + if (!scoreMap.has(file)) scoreMap.set(file, {}); + scoreMap.get(file)[word] = record.score; + }); + }); + + // create the mapping + files.forEach((file) => { + if (fileMap.has(file) && fileMap.get(file).indexOf(word) === -1) + fileMap.get(file).push(word); + else fileMap.set(file, [word]); + }); + }); + + // now check if the files don't contain excluded terms + const results = []; + for (const [file, wordList] of fileMap) { + // check if all requirements are matched + + // as search terms with length < 3 are discarded + const filteredTermCount = [...searchTerms].filter( + (term) => term.length > 2 + ).length; + if ( + wordList.length !== searchTerms.size && + wordList.length !== filteredTermCount + ) + continue; + + // ensure that none of the excluded terms is in the search result + if ( + [...excludedTerms].some( + (term) => + terms[term] === file || + titleTerms[term] === file || + (terms[term] || []).includes(file) || + (titleTerms[term] || []).includes(file) + ) + ) + break; + + // select one (max) score for the file. + const score = Math.max(...wordList.map((w) => scoreMap.get(file)[w])); + // add result to the result list + results.push([ + docNames[file], + titles[file], + "", + null, + score, + filenames[file], + ]); + } + return results; + }, + + /** + * helper function to return a node containing the + * search summary for a given text. keywords is a list + * of stemmed words. + */ + makeSearchSummary: (htmlText, keywords) => { + const text = Search.htmlToText(htmlText); + if (text === "") return null; + + const textLower = text.toLowerCase(); + const actualStartPosition = [...keywords] + .map((k) => textLower.indexOf(k.toLowerCase())) + .filter((i) => i > -1) + .slice(-1)[0]; + const startWithContext = Math.max(actualStartPosition - 120, 0); + + const top = startWithContext === 0 ? "" : "..."; + const tail = startWithContext + 240 < text.length ? "..." : ""; + + let summary = document.createElement("p"); + summary.classList.add("context"); + summary.textContent = top + text.substr(startWithContext, 240).trim() + tail; + + return summary; + }, +}; + +_ready(Search.init); diff --git a/_static/skeleton.css b/_static/skeleton.css new file mode 100644 index 000000000..467c878c6 --- /dev/null +++ b/_static/skeleton.css @@ -0,0 +1,296 @@ +/* Some sane resets. */ +html { + height: 100%; +} + +body { + margin: 0; + min-height: 100%; +} + +/* All the flexbox magic! */ +body, +.sb-announcement, +.sb-content, +.sb-main, +.sb-container, +.sb-container__inner, +.sb-article-container, +.sb-footer-content, +.sb-header, +.sb-header-secondary, +.sb-footer { + display: flex; +} + +/* These order things vertically */ +body, +.sb-main, +.sb-article-container { + flex-direction: column; +} + +/* Put elements in the center */ +.sb-header, +.sb-header-secondary, +.sb-container, +.sb-content, +.sb-footer, +.sb-footer-content { + justify-content: center; +} +/* Put elements at the ends */ +.sb-article-container { + justify-content: space-between; +} + +/* These elements grow. */ +.sb-main, +.sb-content, +.sb-container, +article { + flex-grow: 1; +} + +/* Because padding making this wider is not fun */ +article { + box-sizing: border-box; +} + +/* The announcements element should never be wider than the page. */ +.sb-announcement { + max-width: 100%; +} + +.sb-sidebar-primary, +.sb-sidebar-secondary { + flex-shrink: 0; + width: 17rem; +} + +.sb-announcement__inner { + justify-content: center; + + box-sizing: border-box; + height: 3rem; + + overflow-x: auto; + white-space: nowrap; +} + +/* Sidebars, with checkbox-based toggle */ +.sb-sidebar-primary, +.sb-sidebar-secondary { + position: fixed; + height: 100%; + top: 0; +} + +.sb-sidebar-primary { + left: -17rem; + transition: left 250ms ease-in-out; +} +.sb-sidebar-secondary { + right: -17rem; + transition: right 250ms ease-in-out; +} + +.sb-sidebar-toggle { + display: none; +} +.sb-sidebar-overlay { + position: fixed; + top: 0; + width: 0; + height: 0; + + transition: width 0ms ease 250ms, height 0ms ease 250ms, opacity 250ms ease; + + opacity: 0; + background-color: rgba(0, 0, 0, 0.54); +} + +#sb-sidebar-toggle--primary:checked + ~ .sb-sidebar-overlay[for="sb-sidebar-toggle--primary"], +#sb-sidebar-toggle--secondary:checked + ~ .sb-sidebar-overlay[for="sb-sidebar-toggle--secondary"] { + width: 100%; + height: 100%; + opacity: 1; + transition: width 0ms ease, height 0ms ease, opacity 250ms ease; +} + +#sb-sidebar-toggle--primary:checked ~ .sb-container .sb-sidebar-primary { + left: 0; +} +#sb-sidebar-toggle--secondary:checked ~ .sb-container .sb-sidebar-secondary { + right: 0; +} + +/* Full-width mode */ +.drop-secondary-sidebar-for-full-width-content + .hide-when-secondary-sidebar-shown { + display: none !important; +} +.drop-secondary-sidebar-for-full-width-content .sb-sidebar-secondary { + display: none !important; +} + +/* Mobile views */ +.sb-page-width { + width: 100%; +} + +.sb-article-container, +.sb-footer-content__inner, +.drop-secondary-sidebar-for-full-width-content .sb-article, +.drop-secondary-sidebar-for-full-width-content .match-content-width { + width: 100vw; +} + +.sb-article, +.match-content-width { + padding: 0 1rem; + box-sizing: border-box; +} + +@media (min-width: 32rem) { + .sb-article, + .match-content-width { + padding: 0 2rem; + } +} + +/* Tablet views */ +@media (min-width: 42rem) { + .sb-article-container { + width: auto; + } + .sb-footer-content__inner, + .drop-secondary-sidebar-for-full-width-content .sb-article, + .drop-secondary-sidebar-for-full-width-content .match-content-width { + width: 42rem; + } + .sb-article, + .match-content-width { + width: 42rem; + } +} +@media (min-width: 46rem) { + .sb-footer-content__inner, + .drop-secondary-sidebar-for-full-width-content .sb-article, + .drop-secondary-sidebar-for-full-width-content .match-content-width { + width: 46rem; + } + .sb-article, + .match-content-width { + width: 46rem; + } +} +@media (min-width: 50rem) { + .sb-footer-content__inner, + .drop-secondary-sidebar-for-full-width-content .sb-article, + .drop-secondary-sidebar-for-full-width-content .match-content-width { + width: 50rem; + } + .sb-article, + .match-content-width { + width: 50rem; + } +} + +/* Tablet views */ +@media (min-width: 59rem) { + .sb-sidebar-secondary { + position: static; + } + .hide-when-secondary-sidebar-shown { + display: none !important; + } + .sb-footer-content__inner, + .drop-secondary-sidebar-for-full-width-content .sb-article, + .drop-secondary-sidebar-for-full-width-content .match-content-width { + width: 59rem; + } + .sb-article, + .match-content-width { + width: 42rem; + } +} +@media (min-width: 63rem) { + .sb-footer-content__inner, + .drop-secondary-sidebar-for-full-width-content .sb-article, + .drop-secondary-sidebar-for-full-width-content .match-content-width { + width: 63rem; + } + .sb-article, + .match-content-width { + width: 46rem; + } +} +@media (min-width: 67rem) { + .sb-footer-content__inner, + .drop-secondary-sidebar-for-full-width-content .sb-article, + .drop-secondary-sidebar-for-full-width-content .match-content-width { + width: 67rem; + } + .sb-article, + .match-content-width { + width: 50rem; + } +} + +/* Desktop views */ +@media (min-width: 76rem) { + .sb-sidebar-primary { + position: static; + } + .hide-when-primary-sidebar-shown { + display: none !important; + } + .sb-footer-content__inner, + .drop-secondary-sidebar-for-full-width-content .sb-article, + .drop-secondary-sidebar-for-full-width-content .match-content-width { + width: 59rem; + } + .sb-article, + .match-content-width { + width: 42rem; + } +} + +/* Full desktop views */ +@media (min-width: 80rem) { + .sb-article, + .match-content-width { + width: 46rem; + } + .sb-footer-content__inner, + .drop-secondary-sidebar-for-full-width-content .sb-article, + .drop-secondary-sidebar-for-full-width-content .match-content-width { + width: 63rem; + } +} + +@media (min-width: 84rem) { + .sb-article, + .match-content-width { + width: 50rem; + } + .sb-footer-content__inner, + .drop-secondary-sidebar-for-full-width-content .sb-article, + .drop-secondary-sidebar-for-full-width-content .match-content-width { + width: 67rem; + } +} + +@media (min-width: 88rem) { + .sb-footer-content__inner, + .drop-secondary-sidebar-for-full-width-content .sb-article, + .drop-secondary-sidebar-for-full-width-content .match-content-width { + width: 67rem; + } + .sb-page-width { + width: 88rem; + } +} diff --git a/_static/sphinx_highlight.js b/_static/sphinx_highlight.js new file mode 100644 index 000000000..8a96c69a1 --- /dev/null +++ b/_static/sphinx_highlight.js @@ -0,0 +1,154 @@ +/* Highlighting utilities for Sphinx HTML documentation. */ +"use strict"; + +const SPHINX_HIGHLIGHT_ENABLED = true + +/** + * highlight a given string on a node by wrapping it in + * span elements with the given class name. + */ +const _highlight = (node, addItems, text, className) => { + if (node.nodeType === Node.TEXT_NODE) { + const val = node.nodeValue; + const parent = node.parentNode; + const pos = val.toLowerCase().indexOf(text); + if ( + pos >= 0 && + !parent.classList.contains(className) && + !parent.classList.contains("nohighlight") + ) { + let span; + + const closestNode = parent.closest("body, svg, foreignObject"); + const isInSVG = closestNode && closestNode.matches("svg"); + if (isInSVG) { + span = document.createElementNS("http://www.w3.org/2000/svg", "tspan"); + } else { + span = document.createElement("span"); + span.classList.add(className); + } + + span.appendChild(document.createTextNode(val.substr(pos, text.length))); + const rest = document.createTextNode(val.substr(pos + text.length)); + parent.insertBefore( + span, + parent.insertBefore( + rest, + node.nextSibling + ) + ); + node.nodeValue = val.substr(0, pos); + /* There may be more occurrences of search term in this node. So call this + * function recursively on the remaining fragment. + */ + _highlight(rest, addItems, text, className); + + if (isInSVG) { + const rect = document.createElementNS( + "http://www.w3.org/2000/svg", + "rect" + ); + const bbox = parent.getBBox(); + rect.x.baseVal.value = bbox.x; + rect.y.baseVal.value = bbox.y; + rect.width.baseVal.value = bbox.width; + rect.height.baseVal.value = bbox.height; + rect.setAttribute("class", className); + addItems.push({ parent: parent, target: rect }); + } + } + } else if (node.matches && !node.matches("button, select, textarea")) { + node.childNodes.forEach((el) => _highlight(el, addItems, text, className)); + } +}; +const _highlightText = (thisNode, text, className) => { + let addItems = []; + _highlight(thisNode, addItems, text, className); + addItems.forEach((obj) => + obj.parent.insertAdjacentElement("beforebegin", obj.target) + ); +}; + +/** + * Small JavaScript module for the documentation. + */ +const SphinxHighlight = { + + /** + * highlight the search words provided in localstorage in the text + */ + highlightSearchWords: () => { + if (!SPHINX_HIGHLIGHT_ENABLED) return; // bail if no highlight + + // get and clear terms from localstorage + const url = new URL(window.location); + const highlight = + localStorage.getItem("sphinx_highlight_terms") + || url.searchParams.get("highlight") + || ""; + localStorage.removeItem("sphinx_highlight_terms") + url.searchParams.delete("highlight"); + window.history.replaceState({}, "", url); + + // get individual terms from highlight string + const terms = highlight.toLowerCase().split(/\s+/).filter(x => x); + if (terms.length === 0) return; // nothing to do + + // There should never be more than one element matching "div.body" + const divBody = document.querySelectorAll("div.body"); + const body = divBody.length ? divBody[0] : document.querySelector("body"); + window.setTimeout(() => { + terms.forEach((term) => _highlightText(body, term, "highlighted")); + }, 10); + + const searchBox = document.getElementById("searchbox"); + if (searchBox === null) return; + searchBox.appendChild( + document + .createRange() + .createContextualFragment( + '

      ' + + '' + + _("Hide Search Matches") + + "

      " + ) + ); + }, + + /** + * helper function to hide the search marks again + */ + hideSearchWords: () => { + document + .querySelectorAll("#searchbox .highlight-link") + .forEach((el) => el.remove()); + document + .querySelectorAll("span.highlighted") + .forEach((el) => el.classList.remove("highlighted")); + localStorage.removeItem("sphinx_highlight_terms") + }, + + initEscapeListener: () => { + // only install a listener if it is really needed + if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) return; + + document.addEventListener("keydown", (event) => { + // bail for input elements + if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return; + // bail with special keys + if (event.shiftKey || event.altKey || event.ctrlKey || event.metaKey) return; + if (DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS && (event.key === "Escape")) { + SphinxHighlight.hideSearchWords(); + event.preventDefault(); + } + }); + }, +}; + +_ready(() => { + /* Do not call highlightSearchWords() when we are on the search page. + * It will highlight words from the *previous* search query. + */ + if (typeof Search === "undefined") SphinxHighlight.highlightSearchWords(); + SphinxHighlight.initEscapeListener(); +}); diff --git a/_static/styles/furo-extensions.css b/_static/styles/furo-extensions.css new file mode 100644 index 000000000..bc447f228 --- /dev/null +++ b/_static/styles/furo-extensions.css @@ -0,0 +1,2 @@ +#furo-sidebar-ad-placement{padding:var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal)}#furo-sidebar-ad-placement .ethical-sidebar{background:var(--color-background-secondary);border:none;box-shadow:none}#furo-sidebar-ad-placement .ethical-sidebar:hover{background:var(--color-background-hover)}#furo-sidebar-ad-placement .ethical-sidebar a{color:var(--color-foreground-primary)}#furo-sidebar-ad-placement .ethical-callout 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Correct the color inheritance from `fieldset` elements in IE.\n * 3. Remove the padding so developers are not caught out when they zero out\n * `fieldset` elements in all browsers.\n */\n\nlegend {\n box-sizing: border-box; /* 1 */\n color: inherit; /* 2 */\n display: table; /* 1 */\n max-width: 100%; /* 1 */\n padding: 0; /* 3 */\n white-space: normal; /* 1 */\n}\n\n/**\n * Add the correct vertical alignment in Chrome, Firefox, and Opera.\n */\n\nprogress {\n vertical-align: baseline;\n}\n\n/**\n * Remove the default vertical scrollbar in IE 10+.\n */\n\ntextarea {\n overflow: auto;\n}\n\n/**\n * 1. Add the correct box sizing in IE 10.\n * 2. Remove the padding in IE 10.\n */\n\n[type=\"checkbox\"],\n[type=\"radio\"] {\n box-sizing: border-box; /* 1 */\n padding: 0; /* 2 */\n}\n\n/**\n * Correct the cursor style of increment and decrement buttons in Chrome.\n */\n\n[type=\"number\"]::-webkit-inner-spin-button,\n[type=\"number\"]::-webkit-outer-spin-button {\n height: auto;\n}\n\n/**\n * 1. Correct the odd appearance in Chrome and Safari.\n * 2. Correct the outline style in Safari.\n */\n\n[type=\"search\"] {\n -webkit-appearance: textfield; /* 1 */\n outline-offset: -2px; /* 2 */\n}\n\n/**\n * Remove the inner padding in Chrome and Safari on macOS.\n */\n\n[type=\"search\"]::-webkit-search-decoration {\n -webkit-appearance: none;\n}\n\n/**\n * 1. Correct the inability to style clickable types in iOS and Safari.\n * 2. Change font properties to `inherit` in Safari.\n */\n\n::-webkit-file-upload-button {\n -webkit-appearance: button; /* 1 */\n font: inherit; /* 2 */\n}\n\n/* Interactive\n ========================================================================== */\n\n/*\n * Add the correct display in Edge, IE 10+, and Firefox.\n */\n\ndetails {\n display: block;\n}\n\n/*\n * Add the correct display in all browsers.\n */\n\nsummary {\n display: list-item;\n}\n\n/* Misc\n ========================================================================== */\n\n/**\n * Add the correct display in IE 10+.\n */\n\ntemplate {\n display: none;\n}\n\n/**\n * Add the correct display in IE 10.\n */\n\n[hidden] {\n display: none;\n}\n","// This file contains styles for managing print media.\n\n////////////////////////////////////////////////////////////////////////////////\n// Hide elements not relevant to print media.\n////////////////////////////////////////////////////////////////////////////////\n@media print\n // Hide icon container.\n .content-icon-container\n display: none !important\n\n // Hide showing header links if hovering over when printing.\n .headerlink\n display: none !important\n\n // Hide mobile header.\n .mobile-header\n display: none !important\n\n // Hide navigation links.\n .related-pages\n display: none !important\n\n////////////////////////////////////////////////////////////////////////////////\n// Tweaks related to decolorization.\n////////////////////////////////////////////////////////////////////////////////\n@media print\n // Apply a border around code which no longer have a color background.\n .highlight\n border: 0.1pt solid var(--color-foreground-border)\n\n////////////////////////////////////////////////////////////////////////////////\n// Avoid page break in some relevant cases.\n////////////////////////////////////////////////////////////////////////////////\n@media print\n ul, ol, dl, a, table, pre, blockquote\n page-break-inside: avoid\n\n h1, h2, h3, h4, h5, h6, img, figure, caption\n page-break-inside: avoid\n page-break-after: avoid\n\n ul, ol, dl\n page-break-before: avoid\n",".visually-hidden\n position: absolute !important\n width: 1px !important\n height: 1px !important\n padding: 0 !important\n margin: -1px !important\n overflow: hidden !important\n clip: rect(0,0,0,0) !important\n white-space: nowrap !important\n border: 0 !important\n\n:-moz-focusring\n outline: auto\n","// This file serves as the \"skeleton\" of the theming logic.\n//\n// This contains the bulk of the logic for handling dark mode, color scheme\n// toggling and the handling of color-scheme-specific hiding of elements.\n\nbody\n @include fonts\n @include spacing\n @include icons\n @include admonitions\n @include default-admonition(#651fff, \"abstract\")\n @include default-topic(#14B8A6, \"pencil\")\n\n @include colors\n\n.only-light\n display: block !important\nhtml body .only-dark\n display: none !important\n\n// Ignore dark-mode hints if print media.\n@media not print\n // Enable dark-mode, if requested.\n body[data-theme=\"dark\"]\n @include colors-dark\n\n html & .only-light\n display: none !important\n .only-dark\n display: block !important\n\n // Enable dark mode, unless explicitly told to avoid.\n @media (prefers-color-scheme: dark)\n body:not([data-theme=\"light\"])\n @include colors-dark\n\n html & .only-light\n display: none !important\n .only-dark\n display: block !important\n\n//\n// Theme toggle presentation\n//\nbody[data-theme=\"auto\"]\n .theme-toggle svg.theme-icon-when-auto\n display: block\n\nbody[data-theme=\"dark\"]\n .theme-toggle svg.theme-icon-when-dark\n display: block\n\nbody[data-theme=\"light\"]\n .theme-toggle svg.theme-icon-when-light\n display: block\n","// Fonts used by this theme.\n//\n// There are basically two things here -- using the system font stack and\n// defining sizes for various elements in %ages. We could have also used `em`\n// but %age is easier to reason about for me.\n\n@mixin fonts {\n // These are adapted from https://systemfontstack.com/\n --font-stack: -apple-system, BlinkMacSystemFont, Segoe UI, Helvetica, Arial,\n sans-serif, Apple Color Emoji, Segoe UI Emoji;\n --font-stack--monospace: \"SFMono-Regular\", Menlo, Consolas, Monaco,\n Liberation Mono, Lucida Console, monospace;\n\n --font-size--normal: 100%;\n --font-size--small: 87.5%;\n --font-size--small--2: 81.25%;\n --font-size--small--3: 75%;\n --font-size--small--4: 62.5%;\n\n // Sidebar\n --sidebar-caption-font-size: var(--font-size--small--2);\n --sidebar-item-font-size: var(--font-size--small);\n --sidebar-search-input-font-size: var(--font-size--small);\n\n // Table of Contents\n --toc-font-size: var(--font-size--small--3);\n --toc-font-size--mobile: var(--font-size--normal);\n --toc-title-font-size: var(--font-size--small--4);\n\n // Admonitions\n //\n // These aren't defined in terms of %ages, since nesting these is permitted.\n --admonition-font-size: 0.8125rem;\n --admonition-title-font-size: 0.8125rem;\n\n // Code\n --code-font-size: var(--font-size--small--2);\n\n // API\n --api-font-size: var(--font-size--small);\n}\n","// Spacing for various elements on the page\n//\n// If the user wants to tweak things in a certain way, they are permitted to.\n// They also have to deal with the consequences though!\n\n@mixin spacing {\n // Header!\n --header-height: calc(\n var(--sidebar-item-line-height) + 4 * #{var(--sidebar-item-spacing-vertical)}\n );\n --header-padding: 0.5rem;\n\n // Sidebar\n --sidebar-tree-space-above: 1.5rem;\n --sidebar-caption-space-above: 1rem;\n\n --sidebar-item-line-height: 1rem;\n --sidebar-item-spacing-vertical: 0.5rem;\n --sidebar-item-spacing-horizontal: 1rem;\n --sidebar-item-height: calc(\n var(--sidebar-item-line-height) + 2 *#{var(--sidebar-item-spacing-vertical)}\n );\n\n --sidebar-expander-width: var(--sidebar-item-height); // be square\n\n --sidebar-search-space-above: 0.5rem;\n --sidebar-search-input-spacing-vertical: 0.5rem;\n --sidebar-search-input-spacing-horizontal: 0.5rem;\n --sidebar-search-input-height: 1rem;\n --sidebar-search-icon-size: var(--sidebar-search-input-height);\n\n // Table of Contents\n --toc-title-padding: 0.25rem 0;\n --toc-spacing-vertical: 1.5rem;\n --toc-spacing-horizontal: 1.5rem;\n --toc-item-spacing-vertical: 0.4rem;\n --toc-item-spacing-horizontal: 1rem;\n}\n","// Expose theme icons as CSS variables.\n\n$icons: (\n // Adapted from tabler-icons\n // url: https://tablericons.com/\n \"search\":\n url('data:image/svg+xml;charset=utf-8,'),\n // Factored out from mkdocs-material on 24-Aug-2020.\n // url: https://squidfunk.github.io/mkdocs-material/reference/admonitions/\n \"pencil\":\n url('data:image/svg+xml;charset=utf-8,'),\n \"abstract\":\n url('data:image/svg+xml;charset=utf-8,'),\n \"info\":\n url('data:image/svg+xml;charset=utf-8,'),\n \"flame\":\n url('data:image/svg+xml;charset=utf-8,'),\n \"question\":\n url('data:image/svg+xml;charset=utf-8,'),\n \"warning\":\n url('data:image/svg+xml;charset=utf-8,'),\n \"failure\":\n url('data:image/svg+xml;charset=utf-8,'),\n \"spark\":\n url('data:image/svg+xml;charset=utf-8,')\n);\n\n@mixin icons {\n @each $name, $glyph in $icons {\n --icon-#{$name}: #{$glyph};\n }\n}\n","// Admonitions\n\n// Structure of these is:\n// admonition-class: color \"icon-name\";\n//\n// The colors are translated into CSS variables below. The icons are\n// used directly in the main declarations to set the `mask-image` in\n// the title.\n\n// prettier-ignore\n$admonitions: (\n // Each of these has an reST directives for it.\n \"caution\": #ff9100 \"spark\",\n \"warning\": #ff9100 \"warning\",\n \"danger\": #ff5252 \"spark\",\n \"attention\": #ff5252 \"warning\",\n \"error\": #ff5252 \"failure\",\n \"hint\": #00c852 \"question\",\n \"tip\": #00c852 \"info\",\n \"important\": #00bfa5 \"flame\",\n \"note\": #00b0ff \"pencil\",\n \"seealso\": #448aff \"info\",\n \"admonition-todo\": #808080 \"pencil\"\n);\n\n@mixin default-admonition($color, $icon-name) {\n --color-admonition-title: #{$color};\n --color-admonition-title-background: #{rgba($color, 0.2)};\n\n --icon-admonition-default: var(--icon-#{$icon-name});\n}\n\n@mixin default-topic($color, $icon-name) {\n --color-topic-title: #{$color};\n --color-topic-title-background: #{rgba($color, 0.2)};\n\n --icon-topic-default: var(--icon-#{$icon-name});\n}\n\n@mixin admonitions {\n @each $name, $values in $admonitions {\n --color-admonition-title--#{$name}: #{nth($values, 1)};\n --color-admonition-title-background--#{$name}: #{rgba(\n nth($values, 1),\n 0.2\n )};\n }\n}\n","// Colors used throughout this theme.\n//\n// The aim is to give the user more control. Thus, instead of hard-coding colors\n// in various parts of the stylesheet, the approach taken is to define all\n// colors as CSS variables and reusing them in all the places.\n//\n// `colors-dark` depends on `colors` being included at a lower specificity.\n\n@mixin colors {\n --color-problematic: #b30000;\n\n // Base Colors\n --color-foreground-primary: black; // for main text and headings\n --color-foreground-secondary: #5a5c63; // for secondary text\n --color-foreground-muted: #646776; // for muted text\n --color-foreground-border: #878787; // for content borders\n\n --color-background-primary: white; // for content\n --color-background-secondary: #f8f9fb; // for navigation + ToC\n --color-background-hover: #efeff4ff; // for navigation-item hover\n --color-background-hover--transparent: #efeff400;\n --color-background-border: #eeebee; // for UI borders\n --color-background-item: #ccc; // for \"background\" items (eg: copybutton)\n\n // Announcements\n --color-announcement-background: #000000dd;\n --color-announcement-text: #eeebee;\n\n // Brand colors\n --color-brand-primary: #2962ff;\n --color-brand-content: #2a5adf;\n\n // API documentation\n --color-api-background: var(--color-background-hover--transparent);\n --color-api-background-hover: var(--color-background-hover);\n --color-api-overall: var(--color-foreground-secondary);\n --color-api-name: var(--color-problematic);\n --color-api-pre-name: var(--color-problematic);\n --color-api-paren: var(--color-foreground-secondary);\n --color-api-keyword: var(--color-foreground-primary);\n --color-highlight-on-target: #ffffcc;\n\n // Inline code background\n --color-inline-code-background: var(--color-background-secondary);\n\n // Highlighted text (search)\n --color-highlighted-background: #ddeeff;\n --color-highlighted-text: var(--color-foreground-primary);\n\n // GUI Labels\n --color-guilabel-background: #ddeeff80;\n --color-guilabel-border: #bedaf580;\n --color-guilabel-text: var(--color-foreground-primary);\n\n // Admonitions!\n --color-admonition-background: transparent;\n\n //////////////////////////////////////////////////////////////////////////////\n // Everything below this should be one of:\n // - var(...)\n // - *-gradient(...)\n // - special literal values (eg: transparent, none)\n //////////////////////////////////////////////////////////////////////////////\n\n // Tables\n --color-table-header-background: var(--color-background-secondary);\n --color-table-border: var(--color-background-border);\n\n // Cards\n --color-card-border: var(--color-background-secondary);\n --color-card-background: transparent;\n --color-card-marginals-background: var(--color-background-secondary);\n\n // Header\n --color-header-background: var(--color-background-primary);\n --color-header-border: var(--color-background-border);\n --color-header-text: var(--color-foreground-primary);\n\n // Sidebar (left)\n --color-sidebar-background: var(--color-background-secondary);\n --color-sidebar-background-border: var(--color-background-border);\n\n --color-sidebar-brand-text: var(--color-foreground-primary);\n --color-sidebar-caption-text: var(--color-foreground-muted);\n --color-sidebar-link-text: var(--color-foreground-secondary);\n --color-sidebar-link-text--top-level: var(--color-brand-primary);\n\n --color-sidebar-item-background: var(--color-sidebar-background);\n --color-sidebar-item-background--current: var(\n --color-sidebar-item-background\n );\n --color-sidebar-item-background--hover: linear-gradient(\n 90deg,\n var(--color-background-hover--transparent) 0%,\n var(--color-background-hover) var(--sidebar-item-spacing-horizontal),\n var(--color-background-hover) 100%\n );\n\n --color-sidebar-item-expander-background: transparent;\n --color-sidebar-item-expander-background--hover: var(\n --color-background-hover\n );\n\n --color-sidebar-search-text: var(--color-foreground-primary);\n --color-sidebar-search-background: var(--color-background-secondary);\n --color-sidebar-search-background--focus: var(--color-background-primary);\n --color-sidebar-search-border: var(--color-background-border);\n --color-sidebar-search-icon: var(--color-foreground-muted);\n\n // Table of Contents (right)\n --color-toc-background: var(--color-background-primary);\n --color-toc-title-text: var(--color-foreground-muted);\n --color-toc-item-text: var(--color-foreground-secondary);\n --color-toc-item-text--hover: var(--color-foreground-primary);\n --color-toc-item-text--active: var(--color-brand-primary);\n\n // Actual page contents\n --color-content-foreground: var(--color-foreground-primary);\n --color-content-background: transparent;\n\n // Links\n --color-link: var(--color-brand-content);\n --color-link--hover: var(--color-brand-content);\n --color-link-underline: var(--color-background-border);\n --color-link-underline--hover: var(--color-foreground-border);\n}\n\n@mixin colors-dark {\n --color-problematic: #ee5151;\n\n // Base Colors\n --color-foreground-primary: #ffffffcc; // for main text and headings\n --color-foreground-secondary: #9ca0a5; // for secondary text\n --color-foreground-muted: #81868d; // for muted text\n --color-foreground-border: #666666; // for content borders\n\n --color-background-primary: #131416; // for content\n --color-background-secondary: #1a1c1e; // for navigation + ToC\n --color-background-hover: #1e2124ff; // for navigation-item hover\n --color-background-hover--transparent: #1e212400;\n --color-background-border: #303335; // for UI borders\n --color-background-item: #444; // for \"background\" items (eg: copybutton)\n\n // Announcements\n --color-announcement-background: #000000dd;\n --color-announcement-text: #eeebee;\n\n // Brand colors\n --color-brand-primary: #2b8cee;\n --color-brand-content: #368ce2;\n\n // Highlighted text (search)\n --color-highlighted-background: #083563;\n\n // GUI Labels\n --color-guilabel-background: #08356380;\n --color-guilabel-border: #13395f80;\n\n // API documentation\n --color-api-keyword: var(--color-foreground-secondary);\n --color-highlight-on-target: #333300;\n\n // Admonitions\n --color-admonition-background: #18181a;\n\n // Cards\n --color-card-border: var(--color-background-secondary);\n --color-card-background: #18181a;\n --color-card-marginals-background: var(--color-background-hover);\n}\n","// This file contains the styling for making the content throughout the page,\n// including fonts, paragraphs, headings and spacing among these elements.\n\nbody\n font-family: var(--font-stack)\npre,\ncode,\nkbd,\nsamp\n font-family: var(--font-stack--monospace)\n\n// Make fonts look slightly nicer.\nbody\n -webkit-font-smoothing: antialiased\n -moz-osx-font-smoothing: grayscale\n\n// Line height from Bootstrap 4.1\narticle\n line-height: 1.5\n\n//\n// Headings\n//\nh1,\nh2,\nh3,\nh4,\nh5,\nh6\n line-height: 1.25\n font-weight: bold\n\n border-radius: 0.5rem\n margin-top: 0.5rem\n margin-bottom: 0.5rem\n margin-left: -0.5rem\n margin-right: -0.5rem\n padding-left: 0.5rem\n padding-right: 0.5rem\n\n + p\n margin-top: 0\n\nh1\n font-size: 2.5em\n margin-top: 1.75rem\n margin-bottom: 1rem\nh2\n font-size: 2em\n margin-top: 1.75rem\nh3\n font-size: 1.5em\nh4\n font-size: 1.25em\nh5\n font-size: 1.125em\nh6\n font-size: 1em\n\nsmall\n opacity: 75%\n font-size: 80%\n\n// Paragraph\np\n margin-top: 0.5rem\n margin-bottom: 0.75rem\n\n// Horizontal rules\nhr.docutils\n height: 1px\n padding: 0\n margin: 2rem 0\n background-color: var(--color-background-border)\n border: 0\n\n.centered\n text-align: center\n\n// Links\na\n text-decoration: underline\n\n color: var(--color-link)\n text-decoration-color: var(--color-link-underline)\n\n &:hover\n color: var(--color-link--hover)\n text-decoration-color: var(--color-link-underline--hover)\n &.muted-link\n color: inherit\n &:hover\n color: var(--color-link)\n text-decoration-color: var(--color-link-underline--hover)\n","// This file contains the styles for the overall layouting of the documentation\n// skeleton, including the responsive changes as well as sidebar toggles.\n//\n// This is implemented as a mobile-last design, which isn't ideal, but it is\n// reasonably good-enough and I got pretty tired by the time I'd finished this\n// to move the rules around to fix this. Shouldn't take more than 3-4 hours,\n// if you know what you're doing tho.\n\n// HACK: Not all browsers account for the scrollbar width in media queries.\n// This results in horizontal scrollbars in the breakpoint where we go\n// from displaying everything to hiding the ToC. We accomodate for this by\n// adding a bit of padding to the TOC drawer, disabling the horizontal\n// scrollbar and allowing the scrollbars to cover the padding.\n// https://www.456bereastreet.com/archive/201301/media_query_width_and_vertical_scrollbars/\n\n// HACK: Always having the scrollbar visible, prevents certain browsers from\n// causing the content to stutter horizontally between taller-than-viewport and\n// not-taller-than-viewport pages.\n\nhtml\n overflow-x: hidden\n overflow-y: scroll\n scroll-behavior: smooth\n\n.sidebar-scroll, .toc-scroll, article[role=main] *\n // Override Firefox scrollbar style\n scrollbar-width: thin\n scrollbar-color: var(--color-foreground-border) transparent\n\n // Override Chrome scrollbar styles\n &::-webkit-scrollbar\n width: 0.25rem\n height: 0.25rem\n &::-webkit-scrollbar-thumb\n background-color: var(--color-foreground-border)\n border-radius: 0.125rem\n\n//\n// Overalls\n//\nhtml,\nbody\n height: 100%\n color: var(--color-foreground-primary)\n background: var(--color-background-primary)\n\narticle\n color: var(--color-content-foreground)\n background: var(--color-content-background)\n overflow-wrap: break-word\n\n.page\n display: flex\n // fill the viewport for pages with little content.\n min-height: 100%\n\n.mobile-header\n width: 100%\n height: var(--header-height)\n background-color: var(--color-header-background)\n color: var(--color-header-text)\n border-bottom: 1px solid var(--color-header-border)\n\n // Looks like sub-script/super-script have this, and we need this to\n // be \"on top\" of those.\n z-index: 10\n\n // We don't show the header on large screens.\n display: none\n\n // Add shadow when scrolled\n &.scrolled\n border-bottom: none\n box-shadow: 0 0 0.2rem rgba(0, 0, 0, 0.1), 0 0.2rem 0.4rem rgba(0, 0, 0, 0.2)\n\n .header-center\n a\n color: var(--color-header-text)\n text-decoration: none\n\n.main\n display: flex\n flex: 1\n\n// Sidebar (left) also covers the entire left portion of screen.\n.sidebar-drawer\n box-sizing: border-box\n\n border-right: 1px solid var(--color-sidebar-background-border)\n background: var(--color-sidebar-background)\n\n display: flex\n justify-content: flex-end\n // These next two lines took me two days to figure out.\n width: calc((100% - #{$full-width}) / 2 + #{$sidebar-width})\n min-width: $sidebar-width\n\n// Scroll-along sidebars\n.sidebar-container,\n.toc-drawer\n box-sizing: border-box\n width: $sidebar-width\n\n.toc-drawer\n background: var(--color-toc-background)\n // See HACK described on top of this document\n padding-right: 1rem\n\n.sidebar-sticky,\n.toc-sticky\n position: sticky\n top: 0\n height: min(100%, 100vh)\n height: 100vh\n\n display: flex\n flex-direction: column\n\n.sidebar-scroll,\n.toc-scroll\n flex-grow: 1\n flex-shrink: 1\n\n overflow: auto\n scroll-behavior: smooth\n\n// Central items.\n.content\n padding: 0 $content-padding\n width: $content-width\n\n display: flex\n flex-direction: column\n justify-content: space-between\n\n.icon\n display: inline-block\n height: 1rem\n width: 1rem\n svg\n width: 100%\n height: 100%\n\n//\n// Accommodate announcement banner\n//\n.announcement\n background-color: var(--color-announcement-background)\n color: var(--color-announcement-text)\n\n height: var(--header-height)\n display: flex\n align-items: center\n overflow-x: auto\n & + .page\n min-height: calc(100% - var(--header-height))\n\n.announcement-content\n box-sizing: border-box\n padding: 0.5rem\n min-width: 100%\n white-space: nowrap\n text-align: center\n\n a\n color: var(--color-announcement-text)\n text-decoration-color: var(--color-announcement-text)\n\n &:hover\n color: var(--color-announcement-text)\n text-decoration-color: var(--color-link--hover)\n\n////////////////////////////////////////////////////////////////////////////////\n// Toggles for theme\n////////////////////////////////////////////////////////////////////////////////\n.no-js .theme-toggle-container // don't show theme toggle if there's no JS\n display: none\n\n.theme-toggle-container\n vertical-align: middle\n\n.theme-toggle\n cursor: pointer\n border: none\n padding: 0\n background: transparent\n\n.theme-toggle svg\n vertical-align: middle\n height: 1rem\n width: 1rem\n color: var(--color-foreground-primary)\n display: none\n\n.theme-toggle-header\n float: left\n padding: 1rem 0.5rem\n\n////////////////////////////////////////////////////////////////////////////////\n// Toggles for elements\n////////////////////////////////////////////////////////////////////////////////\n.toc-overlay-icon, .nav-overlay-icon\n display: none\n cursor: pointer\n\n .icon\n color: var(--color-foreground-secondary)\n height: 1rem\n width: 1rem\n\n.toc-header-icon, .nav-overlay-icon\n // for when we set display: flex\n justify-content: center\n align-items: center\n\n.toc-content-icon\n height: 1.5rem\n width: 1.5rem\n\n.content-icon-container\n float: right\n display: flex\n margin-top: 1.5rem\n margin-left: 1rem\n margin-bottom: 1rem\n gap: 0.5rem\n\n .edit-this-page svg\n color: inherit\n height: 1rem\n width: 1rem\n\n.sidebar-toggle\n position: absolute\n display: none\n// \n.sidebar-toggle[name=\"__toc\"]\n left: 20px\n.sidebar-toggle:checked\n left: 40px\n// \n\n.overlay\n position: fixed\n top: 0\n width: 0\n height: 0\n\n transition: width 0ms, height 0ms, opacity 250ms ease-out\n\n opacity: 0\n background-color: rgba(0, 0, 0, 0.54)\n.sidebar-overlay\n z-index: 20\n.toc-overlay\n z-index: 40\n\n// Keep things on top and smooth.\n.sidebar-drawer\n z-index: 30\n transition: left 250ms ease-in-out\n.toc-drawer\n z-index: 50\n transition: right 250ms ease-in-out\n\n// Show the Sidebar\n#__navigation:checked\n & ~ .sidebar-overlay\n width: 100%\n height: 100%\n opacity: 1\n & ~ .page\n .sidebar-drawer\n top: 0\n left: 0\n // Show the toc sidebar\n#__toc:checked\n & ~ .toc-overlay\n width: 100%\n height: 100%\n opacity: 1\n & ~ .page\n .toc-drawer\n top: 0\n right: 0\n\n////////////////////////////////////////////////////////////////////////////////\n// Back to top\n////////////////////////////////////////////////////////////////////////////////\n.back-to-top\n text-decoration: none\n\n display: none\n position: fixed\n left: 0\n top: 1rem\n padding: 0.5rem\n padding-right: 0.75rem\n border-radius: 1rem\n font-size: 0.8125rem\n\n background: var(--color-background-primary)\n box-shadow: 0 0.2rem 0.5rem rgba(0, 0, 0, 0.05), #6b728080 0px 0px 1px 0px\n\n z-index: 10\n\n margin-left: 50%\n transform: translateX(-50%)\n svg\n height: 1rem\n width: 1rem\n fill: currentColor\n display: inline-block\n\n span\n margin-left: 0.25rem\n\n .show-back-to-top &\n display: flex\n align-items: center\n\n////////////////////////////////////////////////////////////////////////////////\n// Responsive layouting\n////////////////////////////////////////////////////////////////////////////////\n// Make things a bit bigger on bigger screens.\n@media (min-width: $full-width + $sidebar-width)\n html\n font-size: 110%\n\n@media (max-width: $full-width)\n // Collapse \"toc\" into the icon.\n .toc-content-icon\n display: flex\n .toc-drawer\n position: fixed\n height: 100vh\n top: 0\n right: -$sidebar-width\n border-left: 1px solid var(--color-background-muted)\n .toc-tree\n border-left: none\n font-size: var(--toc-font-size--mobile)\n\n // Accomodate for a changed content width.\n .sidebar-drawer\n width: calc((100% - #{$full-width - $sidebar-width}) / 2 + #{$sidebar-width})\n\n@media (max-width: $full-width - $sidebar-width)\n // Collapse \"navigation\".\n .nav-overlay-icon\n display: flex\n .sidebar-drawer\n position: fixed\n height: 100vh\n width: $sidebar-width\n\n top: 0\n left: -$sidebar-width\n\n // Swap which icon is visible.\n .toc-header-icon\n display: flex\n .toc-content-icon, .theme-toggle-content\n display: none\n .theme-toggle-header\n display: block\n\n // Show the header.\n .mobile-header\n position: sticky\n top: 0\n display: flex\n justify-content: space-between\n align-items: center\n\n .header-left,\n .header-right\n display: flex\n height: var(--header-height)\n padding: 0 var(--header-padding)\n label\n height: 100%\n width: 100%\n user-select: none\n\n .nav-overlay-icon .icon,\n .theme-toggle svg\n height: 1.25rem\n width: 1.25rem\n\n // Add a scroll margin for the content\n :target\n scroll-margin-top: var(--header-height)\n\n // Show back-to-top below the header\n .back-to-top\n top: calc(var(--header-height) + 0.5rem)\n\n // Center the page, and accommodate for the header.\n .page\n flex-direction: column\n justify-content: center\n .content\n margin-left: auto\n margin-right: auto\n\n@media (max-width: $content-width + 2* $content-padding)\n // Content should respect window limits.\n .content\n width: 100%\n overflow-x: auto\n\n@media (max-width: $content-width)\n .content\n padding: 0 $content-padding--small\n // Don't float sidebars to the right.\n article aside.sidebar\n float: none\n width: 100%\n margin: 1rem 0\n","//\n// The design here is strongly inspired by mkdocs-material.\n.admonition, .topic\n margin: 1rem auto\n padding: 0 0.5rem 0.5rem 0.5rem\n\n background: var(--color-admonition-background)\n\n border-radius: 0.2rem\n box-shadow: 0 0.2rem 0.5rem rgba(0, 0, 0, 0.05), 0 0 0.0625rem rgba(0, 0, 0, 0.1)\n\n font-size: var(--admonition-font-size)\n\n overflow: hidden\n page-break-inside: avoid\n\n // First element should have no margin, since the title has it.\n > :nth-child(2)\n margin-top: 0\n\n // Last item should have no margin, since we'll control that w/ padding\n > :last-child\n margin-bottom: 0\n\n.admonition p.admonition-title,\np.topic-title\n position: relative\n margin: 0 -0.5rem 0.5rem\n padding-left: 2rem\n padding-right: .5rem\n padding-top: .4rem\n padding-bottom: .4rem\n\n font-weight: 500\n font-size: var(--admonition-title-font-size)\n line-height: 1.3\n\n // Our fancy icon\n &::before\n content: \"\"\n position: absolute\n left: 0.5rem\n width: 1rem\n height: 1rem\n\n// Default styles\np.admonition-title\n background-color: var(--color-admonition-title-background)\n &::before\n background-color: var(--color-admonition-title)\n mask-image: var(--icon-admonition-default)\n mask-repeat: no-repeat\n\np.topic-title\n background-color: var(--color-topic-title-background)\n &::before\n background-color: var(--color-topic-title)\n mask-image: var(--icon-topic-default)\n mask-repeat: no-repeat\n\n//\n// Variants\n//\n.admonition\n border-left: 0.2rem solid var(--color-admonition-title)\n\n @each $type, $value in $admonitions\n &.#{$type}\n border-left-color: var(--color-admonition-title--#{$type})\n > .admonition-title\n background-color: var(--color-admonition-title-background--#{$type})\n &::before\n background-color: var(--color-admonition-title--#{$type})\n mask-image: var(--icon-#{nth($value, 2)})\n\n.admonition-todo > .admonition-title\n text-transform: uppercase\n","// This file stylizes the API documentation (stuff generated by autodoc). It's\n// deeply nested due to how autodoc structures the HTML without enough classes\n// to select the relevant items.\n\n// API docs!\ndl[class]:not(.option-list):not(.field-list):not(.footnote):not(.glossary):not(.simple)\n // Tweak the spacing of all the things!\n dd\n margin-left: 2rem\n > :first-child\n margin-top: 0.125rem\n > :last-child\n margin-bottom: 0.75rem\n\n // This is used for the arguments\n .field-list\n margin-bottom: 0.75rem\n\n // \"Headings\" (like \"Parameters\" and \"Return\")\n > dt\n text-transform: uppercase\n font-size: var(--font-size--small)\n\n dd:empty\n margin-bottom: 0.5rem\n dd > ul\n margin-left: -1.2rem\n > li\n > p:nth-child(2)\n margin-top: 0\n // When the last-empty-paragraph follows a paragraph, it doesn't need\n // to augument the existing spacing.\n > p + p:last-child:empty\n margin-top: 0\n margin-bottom: 0\n\n // Colorize the elements\n > dt\n color: var(--color-api-overall)\n\n.sig:not(.sig-inline)\n font-weight: bold\n\n font-size: var(--api-font-size)\n font-family: var(--font-stack--monospace)\n\n margin-left: -0.25rem\n margin-right: -0.25rem\n padding-top: 0.25rem\n padding-bottom: 0.25rem\n padding-right: 0.5rem\n\n // These are intentionally em, to properly match the font size.\n padding-left: 3em\n text-indent: -2.5em\n\n border-radius: 0.25rem\n\n background: var(--color-api-background)\n transition: background 100ms ease-out\n\n &:hover\n background: var(--color-api-background-hover)\n\n // adjust the size of the [source] link on the right.\n a.reference\n .viewcode-link\n font-weight: normal\n width: 3.5rem\n\nem.property\n font-style: normal\n &:first-child\n color: var(--color-api-keyword)\n.sig-name\n color: var(--color-api-name)\n.sig-prename\n font-weight: normal\n color: var(--color-api-pre-name)\n.sig-paren\n color: var(--color-api-paren)\n.sig-param\n font-style: normal\n\n.versionmodified\n font-style: italic\ndiv.versionadded, div.versionchanged, div.deprecated\n p\n margin-top: 0.125rem\n margin-bottom: 0.125rem\n\n// Align the [docs] and [source] to the right.\n.viewcode-link, .viewcode-back\n float: right\n text-align: right\n",".line-block\n margin-top: 0.5rem\n margin-bottom: 0.75rem\n .line-block\n margin-top: 0rem\n margin-bottom: 0rem\n padding-left: 1rem\n","// Captions\narticle p.caption,\ntable > caption,\n.code-block-caption\n font-size: var(--font-size--small)\n text-align: center\n\n// Caption above a TOCTree\n.toctree-wrapper.compound\n .caption, :not(.caption) > .caption-text\n font-size: var(--font-size--small)\n text-transform: uppercase\n\n text-align: initial\n margin-bottom: 0\n\n > ul\n margin-top: 0\n margin-bottom: 0\n","// Inline code\ncode.literal, .sig-inline\n background: var(--color-inline-code-background)\n border-radius: 0.2em\n // Make the font smaller, and use padding to recover.\n font-size: var(--font-size--small--2)\n padding: 0.1em 0.2em\n\n pre.literal-block &\n font-size: inherit\n padding: 0\n\n p &\n border: 1px solid var(--color-background-border)\n\n.sig-inline\n font-family: var(--font-stack--monospace)\n\n// Code and Literal Blocks\n$code-spacing-vertical: 0.625rem\n$code-spacing-horizontal: 0.875rem\n\n// Wraps every literal block + line numbers.\ndiv[class*=\" highlight-\"],\ndiv[class^=\"highlight-\"]\n margin: 1em 0\n display: flex\n\n .table-wrapper\n margin: 0\n padding: 0\n\npre\n margin: 0\n padding: 0\n overflow: auto\n\n // Needed to have more specificity than pygments' \"pre\" selector. :(\n article[role=\"main\"] .highlight &\n line-height: 1.5\n\n &.literal-block,\n .highlight &\n font-size: var(--code-font-size)\n padding: $code-spacing-vertical $code-spacing-horizontal\n\n // Make it look like all the other blocks.\n &.literal-block\n margin-top: 1rem\n margin-bottom: 1rem\n\n border-radius: 0.2rem\n background-color: var(--color-code-background)\n color: var(--color-code-foreground)\n\n// All code is always contained in this.\n.highlight\n width: 100%\n border-radius: 0.2rem\n\n // Make line numbers and prompts un-selectable.\n .gp, span.linenos\n user-select: none\n pointer-events: none\n\n // Expand the line-highlighting.\n .hll\n display: block\n margin-left: -$code-spacing-horizontal\n margin-right: -$code-spacing-horizontal\n padding-left: $code-spacing-horizontal\n padding-right: $code-spacing-horizontal\n\n/* Make code block captions be nicely integrated */\n.code-block-caption\n display: flex\n padding: $code-spacing-vertical $code-spacing-horizontal\n\n border-radius: 0.25rem\n border-bottom-left-radius: 0\n border-bottom-right-radius: 0\n font-weight: 300\n border-bottom: 1px solid\n\n background-color: var(--color-code-background)\n color: var(--color-code-foreground)\n border-color: var(--color-background-border)\n\n + div[class]\n margin-top: 0\n pre\n border-top-left-radius: 0\n border-top-right-radius: 0\n\n// When `html_codeblock_linenos_style` is table.\n.highlighttable\n width: 100%\n display: block\n tbody\n display: block\n\n tr\n display: flex\n\n // Line numbers\n td.linenos\n background-color: var(--color-code-background)\n color: var(--color-code-foreground)\n padding: $code-spacing-vertical $code-spacing-horizontal\n padding-right: 0\n border-top-left-radius: 0.2rem\n border-bottom-left-radius: 0.2rem\n\n .linenodiv\n padding-right: $code-spacing-horizontal\n font-size: var(--code-font-size)\n box-shadow: -0.0625rem 0 var(--color-foreground-border) inset\n\n // Actual code\n td.code\n padding: 0\n display: block\n flex: 1\n overflow: hidden\n\n .highlight\n border-top-left-radius: 0\n border-bottom-left-radius: 0\n\n// When `html_codeblock_linenos_style` is inline.\n.highlight\n span.linenos\n display: inline-block\n padding-left: 0\n padding-right: $code-spacing-horizontal\n margin-right: $code-spacing-horizontal\n box-shadow: -0.0625rem 0 var(--color-foreground-border) inset\n","// Inline Footnote Reference\n.footnote-reference\n font-size: var(--font-size--small--4)\n vertical-align: super\n\n// Definition list, listing the content of each note.\n// docutils <= 0.17\ndl.footnote.brackets\n font-size: var(--font-size--small)\n color: var(--color-foreground-secondary)\n\n display: grid\n grid-template-columns: max-content auto\n dt\n margin: 0\n > .fn-backref\n margin-left: 0.25rem\n\n &:after\n content: \":\"\n\n .brackets\n &:before\n content: \"[\"\n &:after\n content: \"]\"\n\n dd\n margin: 0\n padding: 0 1rem\n\n// docutils >= 0.18\naside.footnote\n font-size: var(--font-size--small)\n color: var(--color-foreground-secondary)\n\naside.footnote > span,\ndiv.citation > span\n float: left\n font-weight: 500\n padding-right: 0.25rem\n\naside.footnote > p,\ndiv.citation > p\n margin-left: 2rem\n","//\n// Figures\n//\nimg\n box-sizing: border-box\n max-width: 100%\n height: auto\n\narticle\n figure, .figure\n border-radius: 0.2rem\n\n margin: 0\n :last-child\n margin-bottom: 0\n\n .align-left\n float: left\n clear: left\n margin: 0 1rem 1rem\n\n .align-right\n float: right\n clear: right\n margin: 0 1rem 1rem\n\n .align-default,\n .align-center\n display: block\n text-align: center\n margin-left: auto\n margin-right: auto\n\n // WELL, table needs to be stylised like a table.\n table.align-default\n display: table\n text-align: initial\n",".genindex-jumpbox, .domainindex-jumpbox\n border-top: 1px solid var(--color-background-border)\n border-bottom: 1px solid var(--color-background-border)\n padding: 0.25rem\n\n.genindex-section, .domainindex-section\n h2\n margin-top: 0.75rem\n margin-bottom: 0.5rem\n ul\n margin-top: 0\n margin-bottom: 0\n","ul,\nol\n padding-left: 1.2rem\n\n // Space lists out like paragraphs\n margin-top: 1rem\n margin-bottom: 1rem\n // reduce margins within li.\n li\n > p:first-child\n margin-top: 0.25rem\n margin-bottom: 0.25rem\n\n > p:last-child\n margin-top: 0.25rem\n\n > ul,\n > ol\n margin-top: 0.5rem\n margin-bottom: 0.5rem\n\nol\n &.arabic\n list-style: decimal\n &.loweralpha\n list-style: lower-alpha\n &.upperalpha\n list-style: upper-alpha\n &.lowerroman\n list-style: lower-roman\n &.upperroman\n list-style: upper-roman\n\n// Don't space lists out when they're \"simple\" or in a `.. toctree::`\n.simple,\n.toctree-wrapper\n li\n > ul,\n > ol\n margin-top: 0\n margin-bottom: 0\n\n// Definition Lists\n.field-list,\n.option-list,\ndl:not([class]),\ndl.simple,\ndl.footnote,\ndl.glossary\n dt\n font-weight: 500\n margin-top: 0.25rem\n + dt\n margin-top: 0\n\n .classifier::before\n content: \":\"\n margin-left: 0.2rem\n margin-right: 0.2rem\n\n dd\n > p:first-child,\n ul\n margin-top: 0.125rem\n\n ul\n margin-bottom: 0.125rem\n",".math-wrapper\n width: 100%\n overflow-x: auto\n\ndiv.math\n position: relative\n text-align: center\n\n .headerlink,\n &:focus .headerlink\n display: none\n\n &:hover .headerlink\n display: inline-block\n\n span.eqno\n position: absolute\n right: 0.5rem\n top: 50%\n transform: translate(0, -50%)\n z-index: 1\n","// Abbreviations\nabbr[title]\n cursor: help\n\n// \"Problematic\" content, as identified by Sphinx\n.problematic\n color: var(--color-problematic)\n\n// Keyboard / Mouse \"instructions\"\nkbd:not(.compound)\n margin: 0 0.2rem\n padding: 0 0.2rem\n border-radius: 0.2rem\n border: 1px solid var(--color-foreground-border)\n color: var(--color-foreground-primary)\n vertical-align: text-bottom\n\n font-size: var(--font-size--small--3)\n display: inline-block\n\n box-shadow: 0 0.0625rem 0 rgba(0, 0, 0, 0.2), inset 0 0 0 0.125rem var(--color-background-primary)\n\n background-color: var(--color-background-secondary)\n\n// Blockquote\nblockquote\n border-left: 4px solid var(--color-background-border)\n background: var(--color-background-secondary)\n\n margin-left: 0\n margin-right: 0\n padding: 0.5rem 1rem\n\n .attribution\n font-weight: 600\n text-align: right\n\n &.pull-quote,\n &.highlights\n font-size: 1.25em\n\n &.epigraph,\n &.pull-quote\n border-left-width: 0\n border-radius: 0.5rem\n\n &.highlights\n border-left-width: 0\n background: transparent\n\n// Center align embedded-in-text images\np .reference img\n vertical-align: middle\n","p.rubric\n line-height: 1.25\n font-weight: bold\n font-size: 1.125em\n\n // For Numpy-style documentation that's got rubrics within it.\n // https://github.com/pradyunsg/furo/discussions/505\n dd &\n line-height: inherit\n font-weight: inherit\n\n font-size: var(--font-size--small)\n text-transform: uppercase\n","article .sidebar\n float: right\n clear: right\n width: 30%\n\n margin-left: 1rem\n margin-right: 0\n\n border-radius: 0.2rem\n background-color: var(--color-background-secondary)\n border: var(--color-background-border) 1px solid\n\n > *\n padding-left: 1rem\n padding-right: 1rem\n\n > ul, > ol // lists need additional padding, because bullets.\n padding-left: 2.2rem\n\n .sidebar-title\n margin: 0\n padding: 0.5rem 1rem\n border-bottom: var(--color-background-border) 1px solid\n\n font-weight: 500\n\n// TODO: subtitle\n// TODO: dedicated variables?\n",".table-wrapper\n width: 100%\n overflow-x: auto\n margin-top: 1rem\n margin-bottom: 0.5rem\n padding: 0.2rem 0.2rem 0.75rem\n\ntable.docutils\n border-radius: 0.2rem\n border-spacing: 0\n border-collapse: collapse\n\n box-shadow: 0 0.2rem 0.5rem rgba(0, 0, 0, 0.05), 0 0 0.0625rem rgba(0, 0, 0, 0.1)\n\n th\n background: var(--color-table-header-background)\n\n td,\n th\n // Space things out properly\n padding: 0 0.25rem\n\n // Get the borders looking just-right.\n border-left: 1px solid var(--color-table-border)\n border-right: 1px solid var(--color-table-border)\n border-bottom: 1px solid var(--color-table-border)\n\n p\n margin: 0.25rem\n\n &:first-child\n border-left: none\n &:last-child\n border-right: none\n\n // MyST-parser tables set these classes for control of column alignment\n &.text-left\n text-align: left\n &.text-right\n text-align: right\n &.text-center\n text-align: center\n",":target\n scroll-margin-top: 0.5rem\n\n@media (max-width: $full-width - $sidebar-width)\n :target\n scroll-margin-top: calc(0.5rem + var(--header-height))\n\n // When a heading is selected\n section > span:target\n scroll-margin-top: calc(0.8rem + var(--header-height))\n\n// Permalinks\n.headerlink\n font-weight: 100\n user-select: none\n\nh1,\nh2,\nh3,\nh4,\nh5,\nh6,\ndl dt,\np.caption,\nfigcaption p,\ntable > caption,\n.code-block-caption\n > .headerlink\n margin-left: 0.5rem\n visibility: hidden\n &:hover > .headerlink\n visibility: visible\n\n // Don't change to link-like, if someone adds the contents directive.\n > .toc-backref\n color: inherit\n text-decoration-line: none\n\n// Figure and table captions are special.\nfigure:hover > figcaption > p > .headerlink,\ntable:hover > caption > .headerlink\n visibility: visible\n\n:target >, // Regular section[id] style anchors\nspan:target ~ // Non-regular span[id] style \"extra\" anchors\n h1,\n h2,\n h3,\n h4,\n h5,\n h6\n &:nth-of-type(1)\n background-color: var(--color-highlight-on-target)\n // .headerlink\n // visibility: visible\n code.literal\n background-color: transparent\n\ntable:target > caption,\nfigure:target\n background-color: var(--color-highlight-on-target)\n\n// Inline page contents\n.this-will-duplicate-information-and-it-is-still-useful-here li :target\n background-color: var(--color-highlight-on-target)\n\n// Code block permalinks\n.literal-block-wrapper:target .code-block-caption\n background-color: var(--color-highlight-on-target)\n\n// When a definition list item is selected\n//\n// There isn't really an alternative to !important here, due to the\n// high-specificity of API documentation's selector.\ndt:target\n background-color: var(--color-highlight-on-target) !important\n\n// When a footnote reference is selected\n.footnote > dt:target + dd,\n.footnote-reference:target\n background-color: var(--color-highlight-on-target)\n",".guilabel\n background-color: var(--color-guilabel-background)\n border: 1px solid var(--color-guilabel-border)\n color: var(--color-guilabel-text)\n\n padding: 0 0.3em\n border-radius: 0.5em\n font-size: 0.9em\n","// This file contains the styles used for stylizing the footer that's shown\n// below the content.\n\nfooter\n font-size: var(--font-size--small)\n display: flex\n flex-direction: column\n\n margin-top: 2rem\n\n// Bottom of page information\n.bottom-of-page\n display: flex\n align-items: center\n justify-content: space-between\n\n margin-top: 1rem\n padding-top: 1rem\n padding-bottom: 1rem\n\n color: var(--color-foreground-secondary)\n border-top: 1px solid var(--color-background-border)\n\n line-height: 1.5\n\n @media (max-width: $content-width)\n text-align: center\n flex-direction: column-reverse\n gap: 0.25rem\n\n .left-details\n font-size: var(--font-size--small)\n\n .right-details\n display: flex\n flex-direction: column\n gap: 0.25rem\n text-align: right\n\n .icons\n display: flex\n justify-content: flex-end\n gap: 0.25rem\n font-size: 1rem\n\n a\n text-decoration: none\n\n svg,\n img\n font-size: 1.125rem\n height: 1em\n width: 1em\n\n// Next/Prev page information\n.related-pages\n a\n display: flex\n align-items: center\n\n text-decoration: none\n &:hover .page-info .title\n text-decoration: underline\n color: var(--color-link)\n text-decoration-color: var(--color-link-underline)\n\n svg.furo-related-icon,\n svg.furo-related-icon > use\n flex-shrink: 0\n\n color: var(--color-foreground-border)\n\n width: 0.75rem\n height: 0.75rem\n margin: 0 0.5rem\n\n &.next-page\n max-width: 50%\n\n float: right\n clear: right\n text-align: right\n\n &.prev-page\n max-width: 50%\n\n float: left\n clear: left\n\n svg\n transform: rotate(180deg)\n\n.page-info\n display: flex\n flex-direction: column\n overflow-wrap: anywhere\n\n .next-page &\n align-items: flex-end\n\n .context\n display: flex\n align-items: center\n\n padding-bottom: 0.1rem\n\n color: var(--color-foreground-muted)\n font-size: var(--font-size--small)\n text-decoration: none\n","// This file contains the styles for the contents of the left sidebar, which\n// contains the navigation tree, logo, search etc.\n\n////////////////////////////////////////////////////////////////////////////////\n// Brand on top of the scrollable tree.\n////////////////////////////////////////////////////////////////////////////////\n.sidebar-brand\n display: flex\n flex-direction: column\n flex-shrink: 0\n\n padding: var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal)\n text-decoration: none\n\n.sidebar-brand-text\n color: var(--color-sidebar-brand-text)\n overflow-wrap: break-word\n margin: var(--sidebar-item-spacing-vertical) 0\n font-size: 1.5rem\n\n.sidebar-logo-container\n margin: var(--sidebar-item-spacing-vertical) 0\n\n.sidebar-logo\n margin: 0 auto\n display: block\n max-width: 100%\n\n////////////////////////////////////////////////////////////////////////////////\n// Search\n////////////////////////////////////////////////////////////////////////////////\n.sidebar-search-container\n display: flex\n align-items: center\n margin-top: var(--sidebar-search-space-above)\n\n position: relative\n\n background: var(--color-sidebar-search-background)\n &:hover,\n &:focus-within\n background: var(--color-sidebar-search-background--focus)\n\n &::before\n content: \"\"\n position: absolute\n left: var(--sidebar-item-spacing-horizontal)\n width: var(--sidebar-search-icon-size)\n height: var(--sidebar-search-icon-size)\n\n background-color: var(--color-sidebar-search-icon)\n mask-image: var(--icon-search)\n\n.sidebar-search\n box-sizing: border-box\n\n border: none\n border-top: 1px solid var(--color-sidebar-search-border)\n border-bottom: 1px solid var(--color-sidebar-search-border)\n\n padding-top: var(--sidebar-search-input-spacing-vertical)\n padding-bottom: var(--sidebar-search-input-spacing-vertical)\n padding-right: var(--sidebar-search-input-spacing-horizontal)\n padding-left: calc(var(--sidebar-item-spacing-horizontal) + var(--sidebar-search-input-spacing-horizontal) + var(--sidebar-search-icon-size))\n\n width: 100%\n\n color: var(--color-sidebar-search-foreground)\n background: transparent\n z-index: 10\n\n &:focus\n outline: none\n\n &::placeholder\n font-size: var(--sidebar-search-input-font-size)\n\n//\n// Hide Search Matches link\n//\n#searchbox .highlight-link\n padding: var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal) 0\n margin: 0\n text-align: center\n\n a\n color: var(--color-sidebar-search-icon)\n font-size: var(--font-size--small--2)\n\n////////////////////////////////////////////////////////////////////////////////\n// Structure/Skeleton of the navigation tree (left)\n////////////////////////////////////////////////////////////////////////////////\n.sidebar-tree\n font-size: var(--sidebar-item-font-size)\n margin-top: var(--sidebar-tree-space-above)\n margin-bottom: var(--sidebar-item-spacing-vertical)\n\n ul\n padding: 0\n margin-top: 0\n margin-bottom: 0\n\n display: flex\n flex-direction: column\n\n list-style: none\n\n li\n position: relative\n margin: 0\n\n > ul\n margin-left: var(--sidebar-item-spacing-horizontal)\n\n .icon\n color: var(--color-sidebar-link-text)\n\n .reference\n box-sizing: border-box\n color: var(--color-sidebar-link-text)\n\n // Fill the parent.\n display: inline-block\n line-height: var(--sidebar-item-line-height)\n text-decoration: none\n\n // Don't allow long words to cause wrapping.\n overflow-wrap: anywhere\n\n height: 100%\n width: 100%\n\n padding: var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal)\n\n &:hover\n background: var(--color-sidebar-item-background--hover)\n\n // Add a nice little \"external-link\" arrow here.\n &.external::after\n content: url('data:image/svg+xml,')\n margin: 0 0.25rem\n vertical-align: middle\n color: var(--color-sidebar-link-text)\n\n // Make the current page reference bold.\n .current-page > .reference\n font-weight: bold\n\n label\n position: absolute\n top: 0\n right: 0\n height: var(--sidebar-item-height)\n width: var(--sidebar-expander-width)\n\n cursor: pointer\n user-select: none\n\n display: flex\n justify-content: center\n align-items: center\n\n .caption, :not(.caption) > .caption-text\n font-size: var(--sidebar-caption-font-size)\n color: var(--color-sidebar-caption-text)\n\n font-weight: bold\n text-transform: uppercase\n\n margin: var(--sidebar-caption-space-above) 0 0 0\n padding: var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal)\n\n // If it has children, add a bit more padding to wrap the content to avoid\n // overlapping with the