From 0212011a575215dfd6a798809a0b82da36956ba6 Mon Sep 17 00:00:00 2001 From: SDKAuto Date: Thu, 12 Dec 2024 20:02:55 +0000 Subject: [PATCH] CodeGen from PR 31861 in Azure/azure-rest-api-specs Merge 03e39aaee83eb36af93e892a0f7beda050372fa0 into 85ed8fc06e19c902c95b531cbd8a643428d5f28d --- common/config/rush/pnpm-lock.yaml | 8 +- .../CHANGELOG.md | 153 +-- .../MIGRATION-FR_v4-DI_v1.md | 315 ----- .../ai-document-intelligence-rest/README.md | 259 +--- .../api-extractor.json | 25 +- .../ai-document-intelligence-rest/assets.json | 6 - .../assets/Acord_27.pdf | Bin 53348 -> 0 bytes .../businessCard/business-card-english.jpg | Bin 915108 -> 0 bytes .../assets/forms/Form_1.jpg | Bin 479269 -> 0 bytes .../assets/forms/Invoice_1.pdf | Bin 147362 -> 0 bytes .../assets/forms/Invoice_1.tiff | Bin 76742 -> 0 bytes .../assets/forms/selection_mark_form.pdf | Bin 251215 -> 0 bytes .../assets/healthInsuranceCard/insurance.png | Bin 579993 -> 0 bytes .../assets/identityDocument/license.png | Bin 398069 -> 0 bytes .../assets/invoice/Invoice_1.pdf | Bin 147362 -> 0 bytes .../assets/invoice/sample_invoice.jpg | Bin 184686 -> 0 bytes .../assets/layout-pageobject.pdf | Bin 78452 -> 0 bytes .../assets/receipt/contoso-allinone.jpg | Bin 154512 -> 0 bytes .../assets/receipt/contoso-receipt.png | Bin 1241425 -> 0 bytes .../assets/receipt/multipage_invoice1.pdf | Bin 108935 -> 0 bytes .../assets/vaccinationCard/vaccination.jpg | Bin 210392 -> 0 bytes .../assets/w2/w2-multiple.png | Bin 918780 -> 0 bytes .../assets/w2/w2-single.png | Bin 183248 -> 0 bytes .../eslint.config.mjs | 24 +- .../karma.conf.js | 133 -- .../package.json | 80 +- .../review/ai-document-intelligence.api.md | 546 ++++++--- .../ai-document-intelligence-rest/sample.env | 9 +- .../samples-dev/analyzeDocumentByModelId.ts | 57 - .../samples-dev/analyzeIdentityDocument.ts | 74 -- .../samples-dev/analyzeInvoice.ts | 63 - .../samples-dev/analyzeReceipt.ts | 60 - .../samples-dev/analyzeReceiptByModelId.ts | 59 - .../samples-dev/analyzeW2TaxForm.ts | 64 - .../samples-dev/buildClassifier.ts | 80 -- .../samples-dev/buildModel.ts | 82 -- .../samples-dev/classifyDocument.ts | 55 - .../samples-dev/composeModel.ts | 123 -- .../samples-dev/copyModel.ts | 66 - .../samples-dev/extractLayout.ts | 81 -- .../samples-dev/getClassifier.ts | 41 - .../samples-dev/getInfo.ts | 32 - .../samples-dev/getModel.ts | 45 - .../samples-dev/listModels.ts | 49 - .../samples-dev/readDocument.ts | 93 -- .../samples/v1-beta/javascript/README.md | 72 -- .../javascript/analyzeDocumentByModelId.js | 55 - .../javascript/analyzeReceiptByModelId.js | 59 - .../v1-beta/javascript/buildClassifier.js | 78 -- .../samples/v1-beta/javascript/buildModel.js | 78 -- .../v1-beta/javascript/classifyDocument.js | 54 - .../v1-beta/javascript/composeModel.js | 117 -- .../samples/v1-beta/javascript/copyModel.js | 64 - .../v1-beta/javascript/getClassifier.js | 42 - .../samples/v1-beta/javascript/getInfo.js | 33 - .../samples/v1-beta/javascript/getModel.js | 46 - .../samples/v1-beta/javascript/listModels.js | 49 - .../samples/v1-beta/javascript/package.json | 32 - .../v1-beta/javascript/readDocument.js | 91 -- .../samples/v1-beta/javascript/sample.env | 8 - .../samples/v1-beta/typescript/README.md | 95 -- .../samples/v1-beta/typescript/package.json | 41 - .../samples/v1-beta/typescript/sample.env | 8 - .../src/analyzeDocumentByModelId.ts | 57 - .../typescript/src/analyzeIdentityDocument.ts | 73 -- .../v1-beta/typescript/src/analyzeInvoice.ts | 62 - .../v1-beta/typescript/src/analyzeReceipt.ts | 59 - .../typescript/src/analyzeReceiptByModelId.ts | 59 - .../typescript/src/analyzeW2TaxForm.ts | 63 - .../v1-beta/typescript/src/buildClassifier.ts | 80 -- .../v1-beta/typescript/src/buildModel.ts | 79 -- .../typescript/src/classifyDocument.ts | 55 - .../v1-beta/typescript/src/composeModel.ts | 119 -- .../v1-beta/typescript/src/copyModel.ts | 66 - .../v1-beta/typescript/src/extractLayout.ts | 80 -- .../v1-beta/typescript/src/getClassifier.ts | 41 - .../samples/v1-beta/typescript/src/getInfo.ts | 32 - .../v1-beta/typescript/src/getModel.ts | 45 - .../v1-beta/typescript/src/listModels.ts | 49 - .../v1-beta/typescript/src/readDocument.ts | 93 -- .../samples/v1-beta/typescript/tsconfig.json | 17 - .../src/clientDefinitions.ts | 162 ++- .../src/documentIntelligence.ts | 31 +- .../src/isUnexpected.ts | 94 +- .../src/models.ts | 10 +- .../src/outputModels.ts | 151 ++- .../src/paginateHelper.ts | 186 ++- .../src/parameters.ts | 215 +++- .../src/pollingHelper.ts | 88 +- .../src/responses.ts | 168 ++- .../test/public/analysis.spec.ts | 1083 ----------------- .../test/public/classifiers.spec.ts | 180 --- .../test/public/documentIntelligence.spec.ts | 98 -- .../test/public/sampleTest.spec.ts | 21 + .../test/public/training.spec.ts | 361 ------ .../test/public/utils/recordedClient.ts | 29 + .../test/public/utils/recorderUtils.ts | 111 -- .../test/public/utils/utils.ts | 32 - .../ai-document-intelligence-rest/tests.yml | 22 - .../tsconfig.browser.config.json | 9 +- .../tsconfig.json | 21 +- .../tsconfig.samples.json | 8 - .../tsconfig.src.json | 3 - .../tsconfig.test.json | 3 - .../tsp-location.yaml | 5 +- .../vitest.browser.config.ts | 1 + .../vitest.config.ts | 9 +- .../vitest.esm.config.ts | 11 - 108 files changed, 1310 insertions(+), 6635 deletions(-) delete mode 100644 sdk/documentintelligence/ai-document-intelligence-rest/MIGRATION-FR_v4-DI_v1.md delete mode 100644 sdk/documentintelligence/ai-document-intelligence-rest/assets.json delete mode 100644 sdk/documentintelligence/ai-document-intelligence-rest/assets/Acord_27.pdf delete mode 100644 sdk/documentintelligence/ai-document-intelligence-rest/assets/businessCard/business-card-english.jpg delete mode 100644 sdk/documentintelligence/ai-document-intelligence-rest/assets/forms/Form_1.jpg delete mode 100644 sdk/documentintelligence/ai-document-intelligence-rest/assets/forms/Invoice_1.pdf delete mode 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sdk/documentintelligence/ai-document-intelligence-rest/tsconfig.src.json delete mode 100644 sdk/documentintelligence/ai-document-intelligence-rest/tsconfig.test.json delete mode 100644 sdk/documentintelligence/ai-document-intelligence-rest/vitest.esm.config.ts diff --git a/common/config/rush/pnpm-lock.yaml b/common/config/rush/pnpm-lock.yaml index 99371afd82ed..31193b814c01 100644 --- a/common/config/rush/pnpm-lock.yaml +++ b/common/config/rush/pnpm-lock.yaml @@ -2463,7 +2463,7 @@ packages: version: 0.0.0 '@rush-temp/ai-document-intelligence@file:projects/ai-document-intelligence.tgz': - resolution: {integrity: sha512-rK979Zu3i9HdmjhkPAgXOzd0NeXbFrY3YZVRjpjV2wogivrRPGkZZzbNRYCJ7jJbjdFmyOW0xaVddvmfvbqYuw==, tarball: file:projects/ai-document-intelligence.tgz} + resolution: {integrity: sha512-4BkkAJcixTSpwVv4Xx0fpFUWuS4/Yvc/G2axoSXRmVmX4oBy5hILDfqMfJwIiMmEFQG/5juuDztUyNEDnivBFQ==, tarball: file:projects/ai-document-intelligence.tgz} version: 0.0.0 '@rush-temp/ai-document-translator@file:projects/ai-document-translator.tgz': @@ -3599,7 +3599,7 @@ packages: version: 0.0.0 '@rush-temp/container-registry@file:projects/container-registry.tgz': - resolution: {integrity: sha512-AHxtCyVOmgFDmFKYr3jgh/D9GLdlJJaGeuvAhCxciN8PpRLPF/CUjp+eNzZeAd+h352yM1xYh/luQzCHcsLKtw==, tarball: file:projects/container-registry.tgz} + resolution: {integrity: sha512-TiZ/Z7Ox5LgTvY4HsWVTLaLv+P137p9P473qmw1lqDcrffv+rrg8tQhLFYdK/xc5I+rypBVT75msDDqwPrRBGA==, tarball: file:projects/container-registry.tgz} version: 0.0.0 '@rush-temp/core-amqp@file:projects/core-amqp.tgz': @@ -9954,13 +9954,13 @@ snapshots: '@rush-temp/ai-document-intelligence@file:projects/ai-document-intelligence.tgz(msw@2.6.8(@types/node@20.17.10)(typescript@5.7.2))(vite@5.4.11(@types/node@20.17.10))': dependencies: + '@microsoft/api-extractor': 7.48.0(@types/node@18.19.68) '@types/node': 18.19.68 '@vitest/browser': 2.1.8(@types/node@18.19.68)(playwright@1.49.1)(typescript@5.6.3)(vite@5.4.11(@types/node@20.17.10))(vitest@2.1.8) '@vitest/coverage-istanbul': 2.1.8(vitest@2.1.8) dotenv: 16.4.7 eslint: 9.16.0 playwright: 1.49.1 - prettier: 3.4.2 tslib: 2.8.1 typescript: 5.6.3 vitest: 2.1.8(@types/node@18.19.68)(@vitest/browser@2.1.8)(msw@2.6.8(@types/node@20.17.10)(typescript@5.7.2)) @@ -20673,7 +20673,7 @@ snapshots: ajv-formats@3.0.1: dependencies: - ajv: 8.13.0 + ajv: 8.17.1 ajv@6.12.6: dependencies: diff --git a/sdk/documentintelligence/ai-document-intelligence-rest/CHANGELOG.md b/sdk/documentintelligence/ai-document-intelligence-rest/CHANGELOG.md index 0773a05e6281..813429c51fd4 100644 --- a/sdk/documentintelligence/ai-document-intelligence-rest/CHANGELOG.md +++ b/sdk/documentintelligence/ai-document-intelligence-rest/CHANGELOG.md @@ -1,154 +1,7 @@ # Release History - -## 1.0.0-beta.3 (2024-08-20) + +## 1.0.0 (2024-12-12) ### Features Added -- Added support for the Analyze Batch Documents API with the long-running operations, `/documentModels/{modelId}:analyzeBatch`. -- Added support for method `/documentModels/{modelId}/analyzeResults/{resultId}/pdf`. -- Added support for method `/documentModels/{modelId}/analyzeResults/{resultId}/figures/{figureId}`. -- Added support for the analysis method to specify other kinds of output through `AnalyzeDocumentFromStreamBodyParam#output` param : can be `pdf` and `figures`. -- Added property `id` to `Output` model. -- Added support for the Copy Classifier API with method `/documentClassifiers:authorizeCopy`. -- Added method `/documentClassifiers/{classifierId}:copyTo`. -- Added new enum type to `DocumentBuildMode`: `generative`. -- Added property `warnings` to `AnalyzeResultOutput ` model. -- Added properties `classifierId`, `split`, and `trainingHours` to `DocumentModelDetailsOutput` model. -- Added properties `confidenceThreshold`, `features`, `maxDocumentsToAnalyze`, `modelId`, and `queryFields` to `DocumentTypeDetailsOutput` model. -- Added properties `allowOverwrite` and `maxTrainingHours` to `BuildDocumentModelRequest` model. -- Added parameter `pages` to `ClassifyDocument` overloads. -- Added properties `classifierId`, `docTypes`, and `split` to `ComposeDocumentModelRequest`. -- Added property `allowOverwrite` to `BuildDocumentClassifierRequest`. -- Added property `getOperationId()` method to the pollers. - -### Other Changes - -- The `@azure-rest/ai-document-intelligence` Rest Level Client Library, now targets the Azure AI Document Intelligence service API version `2024-07-31-preview`. Support for `2024-02-29-preview` has been removed. -- Removed support for extracting lists from analyzed documents: - - Removed models `DocumentListOutput` and `DocumentListItemOutput`. - - Removed property `lists` from `AnalyzeResultOutput`. -- Changes to the Compose Document API: - - Removed model `ComponentDocumentModelDetails`. - - Removed property `componentModels` from `ComposeDocumentModelRequest`. - - `ComposeDocumentModelRequest` now requires a map of `DocumentTypeDetails` and a classifier ID. -- Removed model `QuotaDetailsOutput`. -- Removed property `customNeuralDocumentModelBuilds` from `ResourceDetailsOutput`. -- Removed required property `fieldSchema` and from `DocumentTypeDetailsOuput`. -- `DocumentFieldType` is now a required property of `DocumentFieldSchema`. - -## 1.0.0-beta.2 (2024-03-06) - -### Features Added - -- Support for "retry-after" header has been added for long-running operations, including `/documentModels/{modelId}:analyze`, `/documentModels:build`, and `/documentClassifiers:build`. -- `BuildDocumentClassifierContent` now includes a new property, `baseClassifierId`. -- `DocumentClassifierDetailsOutput` now includes a new property, `baseClassifierId`. -- A new property, `warnings`, has been added to `DocumentModelDetailsOutput` and `DocumentClassifierDetailsOutput`, represents an array of objects with `code`, `message`, and `target`. -- `DocumentFieldOutput` now includes a new property, `valueSelectionGroup`. -- A new member, `"completed"`, has been added to `OperationDetails#status`. - -### Breaking Changes - -- The `@azure-rest/ai-document-intelligence` Rest Level Client Library, previously known as Form Recognizer, now targets the Azure AI Document Intelligence service API version `"2024-02-29-preview"`. Please note that support for `2023-10-31-preview` has been discontinued. - -## 1.0.0-beta.1 (2023-11-16) - -### Features Added - -This marks the first preview of `@azure-rest/ai-document-intelligence` Rest Level Client Library for the Azure AI Document Intelligence service (formerly known as Form Recognizer), targeting service API version `"2023-10-31-preview"`. - -_**Note: Form Recognizer has been rebranded to Document Intelligence.**_ - -- Updates all REST API operation paths from `{endpoint}/formrecognizer` to `{endpoint}/documentintelligence`. SDK would handle this change automatically, users would not have to do additional work to support this. -- `@azure-rest/ai-document-intelligence` is the new package, replacing `@azure/ai-form-recognizer` package. The new package supports a Rest Level Client, which is part of the new generation of Azure SDKs to simplify the development experience. The new package is not compatible with the previous `@azure/ai-form-recognizer` package without necessary changes to your code. -- **Breaking Changes (with the `@azure/ai-form-recognizer` SDK)** - API shapes have been designed from scratch to support the new Rest Level Client for the Document Intelligence service. Please refer to the [Readme](https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/documentintelligence/ai-document-intelligence-rest/README.md) and [Samples](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/documentintelligence/ai-document-intelligence-rest/samples) for more understanding. - -### `"2023-10-31-preview"` Service API version - -The new `"2023-10-31-preview"` service version comes with some new features and a few breaking changes when compared to the API versions supported by the `@azure/ai-form-recognizer` library. - -**New Features** - -- **Markdown content format** - - Supports output with Markdown content format along with the default plain _text_. For now, this is only supported for "prebuilt-layout". Markdown content format is deemed a more friendly format for LLM consumption in a chat or automation use scenario. - - Service follows the GFM spec ([GitHub Flavored Markdown](https://github.github.com/gfm/)) for the Markdown format. Also introduces a new _contentFormat_ property with value "text" or "markdown" to indicate the result content format. - - ```ts - import DocumentIntelligence from "@azure-rest/ai-document-intelligence"; - const client = DocumentIntelligence(process.env["DOCUMENT_INTELLIGENCE_ENDPOINT"], { - key: process.env["DOCUMENT_INTELLIGENCE_API_KEY"], - }); - - const initialResponse = await client - .path("/documentModels/{modelId}:analyze", "prebuilt-layout") - .post({ - contentType: "application/json", - body: { - urlSource: - "https://raw.githubusercontent.com/Azure/azure-sdk-for-js/6704eff082aaaf2d97c1371a28461f512f8d748a/sdk/formrecognizer/ai-form-recognizer/assets/forms/Invoice_1.pdf", - }, - queryParameters: { outputContentFormat: "markdown" }, // <-- new query parameter - }); - ``` - -- **Query Fields** - - When this feature flag is specified, the service will further extract the values of the fields specified via the queryFields query parameter to supplement any existing fields defined by the model as fallback. - - ```ts - await client.path("/documentModels/{modelId}:analyze", "prebuilt-layout").post({ - contentType: "application/json", - body: { urlSource: "..." }, - queryParameters: { - features: ["queryFields"], - queryFields: ["NumberOfGuests", "StoreNumber"], - }, // <-- new query parameter - }); - ``` - -- **Split Options** - - In the previous API versions supported by the older `@azure/ai-form-recognizer` library, document splitting and classification operation (`"/documentClassifiers/{classifierId}:analyze"`) always tried to split the input file into multiple documents. - - To enable a wider set of scenarios, service introduces a "split" query parameter with the new "2023-10-31-preview" service version. The following values are supported: - - - `split: "auto"` - - Let service determine where to split. - - - `split: "none"` - - The entire file is treated as a single document. No splitting is performed. - - - `split: "perPage"` - - Each page is treated as a separate document. Each empty page is kept as its own document. - -**Breaking Changes** - -- **prebuilt-receipt** - Currency related fields have been updated. Currency symbol ("$") and code ("USD") are returned along with the amount as shown below. - - ```json - { - "content": "$123.45", - "confidence": 0.995, - "type": "currency", - "valueCurrency": { - "amount": 123.45, - "currencySymbol": "$", - "currencyCode": "USD" - }, - ... - } - ``` - -**Retirements/Deprecations** - -- `"prebuilt-businessCard"` model is retired. -- `"prebuilt-document"` model is retired, this model is essentially `"prebuilt-layout"` with `features: ["keyValuePairs"]` specified. _(This is only supported as an optional feature for "prebuilt-layout" and "prebuilt-invoice".)_ - -If you wish to still use these models, please rely on the older `@azure/ai-form-recognizer` library through the older service API versions. - -If you were using the old `@azure/ai-form-recognizer` package, please refer [MIGRATION_GUIDE.MD](https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/documentintelligence/ai-document-intelligence-rest/MIGRATION-FR_v4-DI_v1.md) for more details. +The package of @azure-rest/ai-document-intelligence is using our next generation design principles. To learn more, please refer to our documentation [Quick Start](https://aka.ms/azsdk/js/mgmt/quickstart). diff --git a/sdk/documentintelligence/ai-document-intelligence-rest/MIGRATION-FR_v4-DI_v1.md b/sdk/documentintelligence/ai-document-intelligence-rest/MIGRATION-FR_v4-DI_v1.md deleted file mode 100644 index 2e4a5e8784e5..000000000000 --- a/sdk/documentintelligence/ai-document-intelligence-rest/MIGRATION-FR_v4-DI_v1.md +++ /dev/null @@ -1,315 +0,0 @@ -# Migrating from `@azure/ai-form-recognizer` Version 4.0.0 to `@azure-rest/ai-document-intelligence` Version 1.0.0-beta.1 - -In this first preview of `@azure-rest/ai-document-intelligence` Rest Level Client Library, this package introduces a new design for the Azure AI Document Intelligence service (formerly known as Form Recognizer), targeting service API version `"2023-10-31-preview"`. - -To leverage features of the newest Azure AI Document Intelligence service API (version "2023-10-31-preview" and newer), the new SDK is required, and application code must be changed to use the new client. Similarly, the new major version 4 of the client library cannot be used to communicate with versions 2.1 of the service API. To summarize: - -- Version 3 of the `@azure/ai-form-recognizer` package _only_ supports Form Recognizer service API version 2.1, and will not receive support for newer (date-based) versions of Form Recognizer. -- Version 4 of the `@azure/ai-form-recognizer` package supports service API version "2022-08-31" of Form Recognizer. - -_**Note: Form Recognizer has been rebranded to Document Intelligence.**_ - -- Version 1 of the `@azure-rest/ai-document-intelligence` package will receive support for newer (date-based) versions of Azure AI Document Intelligence. - -This document provides instructions for updating your application code to the new `@azure-rest/ai-document-intelligence` SDK client library. In this document, the examples provided use TypeScript to provide type information, but all runtime behavior changes naturally apply to plain JavaScript as well. - -## Partial Migration (Side-by-Side) - -To avoid migrating an application all at once, `@azure-rest/ai-document-intelligence` Version 1.0.0-beta.1 may be installed alongside `@azure/ai-form-recognizer` Version 4.0.0. For instance, add the following to the `dependencies` field of `package.json`: - -```javascript -{ - ..., - "dependencies": { - ..., - "@azure/ai-form-recognizer": "^4.0.0", - "@azure-rest/ai-document-intelligence": "1.0.0-beta.1" - } -} -``` - -Then, the two packages may be used side-by-side, and an application may be migrated partially or over time: - -```javascript -import { DocumentAnalysisClient } from "@azure/ai-form-recognizer"; -import DocumentIntelligence from "@azure-rest/ai-document-intelligence"; -``` - -## Understanding the New Package - -In the new `@azure-rest/ai-document-intelligence` package, several types and method signatures have been introduced which would feel newer owing to the redesign as a Rest Level Client package. - -- `@azure/ai-form-recognizer` package offered `DocumentAnalysisClient` and `DocumentModelAdministrationClient` classes. -- The new `@azure-rest/ai-document-intelligence` package offers a `createClient` method that allows creating a an instance of `DocumentIntelligenceClient`, which would be the equivalent of the two classes offered through `@azure/ai-form-recognizer` package. - -## Migrating from `DocumentAnalysisClient` to `DocumentIntelligence` - -The previous `DocumentAnalysisClient` class offered - -```ts -beginAnalyzeDocument(modelId, document: FormRecognizerRequestBody) -beginAnalyzeDocumentFromUrl(modelId, documentUrl) -beginClassifyDocument(classifierId, document: FormRecognizerRequestBody) -beginClassifyDocumentFromUrl(classifierId, documentUrl) -``` - -methods to analyze/classify documents. - -Equivalently, the new `DocumentIntelligence` offers the following instead through the routes: - -```ts -path("/documentModels/{modelId}:analyze", "").post({ - contentType: "application/json", - body: { urlSource: "..." }, // or { base64Source: "..." } -}); - -path("/documentClassifiers/{classifierId}:analyze", "").post({ - contentType: "application/json", - body: { urlSource: "..." }, // or { base64Source: "..." } -}); -``` - -### URL Inputs - -As in the previous "@azure/ai-form-recognizer" v4.0.0 SDK, to provide a publicly-accessible URL as an input to an analysis operation, use the `beginAnalyzeDocumentFromUrl` method, which treats the data passed to it as a file's contents. In the new `@azure-rest/ai-document-intelligence` package, the equivalent is to use the `path` method to call the `analyze` route and pass the URL as body (shown below). - -Previous ("@azure/ai-form-recognizer" v4.0.0): - -```typescript -import { AzureKeyCredential, DocumentAnalysisClient } from "@azure/ai-form-recognizer"; - -const client = new DocumentAnalysisClient(process.env.FORM_RECOGNIZER_ENDPOINT, new AzureKeyCredential(process.env.FORM_RECOGNIZER_API_KEY); ); -const url = "https://raw.githubusercontent.com/Azure/azure-sdk-for-js/main/sdk/formrecognizer/ai-form-recognizer/assets/identityDocument/license.jpg"; - -const poller = await client.beginAnalyzeDocumentFromUrl("", url); -``` - -Current ("@azure-rest/ai-document-intelligence" v1.0.0-beta.1): - -```typescript -import DocumentIntelligence from "@azure-rest/ai-document-intelligence"; - -const client = DocumentIntelligence(process.env["DOCUMENT_INTELLIGENCE_ENDPOINT"], { - key: process.env["DOCUMENT_INTELLIGENCE_API_KEY"], -}); -const url = - "https://raw.githubusercontent.com/Azure/azure-sdk-for-js/main/sdk/formrecognizer/ai-form-recognizer/assets/identityDocument/license.jpg"; - -const initialResponse = await client.path("/documentModels/{modelId}:analyze", "").post({ - contentType: "application/json", - body: { urlSource: url }, -}); - -if (isUnexpected(initialResponse)) { - throw initialResponse.body.error; -} -const poller = await getLongRunningPoller(client, initialResponse); -``` - -### Base64 Inputs - -As in the previous "@azure/ai-form-recognizer" v4.0.0 SDK, to provide a document input to an analysis operation, use the `beginAnalyzeDocument` method, which treats the data passed to it as a file's contents. -In the new `@azure-rest/ai-document-intelligence` package, the equivalent is to use the `path` method to call the `analyze` route and pass the base64-encoded contents (string) as body (shown below). - -_Note: Subject to change in the future previews of this package for better._ - -Previous ("@azure/ai-form-recognizer" v4.0.0): - -```ts -const { DocumentAnalysisClient, AzureKeyCredential } = require("@azure/ai-form-recognizer"); -const fs = require("fs"); - -const client = new DocumentAnalysisClient(endpoint, new AzureKeyCredential(apiKey)); -const path = ""; -const readStream = fs.createReadStream(path); -const poller = await client.beginAnalyzeDocument(modelId, readStream); -``` - -Current ("@azure-rest/ai-document-intelligence" v1.0.0-beta.1): - -```ts -import DocumentIntelligence from "@azure-rest/ai-document-intelligence"; - -const client = DocumentIntelligence(endpoint, { key: apiKey }); -const filePath = ""; -const base64Source = fs.readFileSync(filePath, { encoding: "base64" }); -const initialResponse = await client.path("/documentModels/{modelId}:analyze", "").post({ - contentType: "application/json", - body: { base64Source }, -}); - -if (isUnexpected(initialResponse)) { - throw initialResponse.body.error; -} - -const poller = getLongRunningPoller(client, initialResponse, { ...testPollingOptions }); -``` - -## Example with polling - -```ts -const endpoint = ""; -const apiKey = ""; -const path = ""; // pdf/jpeg/png/tiff formats - -const readStream = fs.createReadStream(path); - -const client = new DocumentAnalysisClient(endpoint, new AzureKeyCredential(apiKey)); -const poller = await client.beginAnalyzeDocument("prebuilt-layout", readStream); -const { pages, tables } = await poller.pollUntilDone(); -``` - -```ts -const client = DocumentIntelligence( - process.env["DOCUMENT_INTELLIGENCE_ENDPOINT"] || "", - { key: process.env["DOCUMENT_INTELLIGENCE_API_KEY"] || "" } -); - -const base64Source = fs.readFileSync(filePath, { encoding: "base64" }); -const initialResponse = await client - .path("/documentModels/{modelId}:analyze", "prebuilt-layout") - .post({ - contentType: "application/json", - body: { base64Source }, - }); - -if (isUnexpected(initialResponse)) { - throw initialResponse.body.error; -} - -const poller = await getLongRunningPoller(client, initialResponse); -const analyzeResult = ((await poller.pollUntilDone().body) as AnalyzeResultOperationOutput) - .analyzeResult; - -const pages = analyzeResult?.pages; -const tables = analyzeResult?.tables; -``` - -## Migrating from `DocumentModelAdministrationClient` to `DocumentIntelligence` - -The `DocumentModelAdministrationClient` class, was used for all model management operations (creating, reading, listing, and deleting models). The new `DocumentIntelligence` offers the following instead through the routes: - -```ts -beginBuildDocumentClassifier(classifierId, [docTypeSources]) -beginBuildDocumentModel(modelId, containerUrl, buildMode: "template") -beginBuildDocumentModel(modelId, contentSource, buildMode: "template") -beginComposeDocumentModel(modelId, [componentModelIds]) -beginCopyModelTo(sourceModelId, authorization) -deleteDocumentClassifier(classifierId) -deleteDocumentModel(modelId) -getCopyAuthorization(destinationModelId) -getDocumentClassifier(classifierId) -getDocumentModel(modelId) -getOperation(operationId) -getResourceDetails() -listDocumentClassifiers() -listDocumentModels() -listOperations() -``` - -Equivalently, the new `DocumentIntelligence` offers the following instead through the routes: - -```ts -path("/documentClassifiers:build").post({ - body: { - classifierId: "", - docTypes: { - foo: { - azureBlobSource: { - containerUrl: "", - }, - }, - }, - }, -}); -path("/documentModels:build").post({ - body: { - buildMode: "template", - modelId: modelName, - azureBlobSource: { - containerUrl: "", - }, - }, -}); -path("/documentModels:compose").post({ - body: { - componentModels: componentModelIds, - modelId, - }, -}); -path("/documentClassifiers/{classifierId}", classifierId).delete(); -path("/documentModels/{modelId}", modelId).delete(); -path("/documentModels/{modelId}:copyTo", sourceModel.modelId).post({ - body: targetAuth.body, -}); -path("/documentClassifiers/{classifierId}", classifierId).get(); -path("/documentModels/{modelId}", model.modelId).get(); -path("/operations/{operationId}", "").get(); -path("/info").get(); -path("/documentClassifiers").get(); -path("/documentModels").get(); -path("/operations").get(); -``` - -_**All the methods presented above do support options bags to configure the settings**_ - -## Features Added in the new service API version "2023-10-31-preview" - -### Markdown content format - -Supports output with Markdown content format along with the default plain _text_. For now, this is only supported for "prebuilt-layout". Markdown content format is deemed a more friendly format for LLM consumption in a chat or automation use scenario. - -Service follows the GFM spec ([GitHub Flavored Markdown](https://github.github.com/gfm/)) for the Markdown format. Also introduces a new _contentFormat_ property with value "text" or "markdown" to indicate the result content format. - -```ts -import DocumentIntelligence from "@azure-rest/ai-document-intelligence"; -const client = DocumentIntelligence(process.env["DOCUMENT_INTELLIGENCE_ENDPOINT"], { - key: process.env["DOCUMENT_INTELLIGENCE_API_KEY"], -}); - -const initialResponse = await client - .path("/documentModels/{modelId}:analyze", "prebuilt-layout") - .post({ - contentType: "application/json", - body: { - urlSource: - "https://raw.githubusercontent.com/Azure/azure-sdk-for-js/6704eff082aaaf2d97c1371a28461f512f8d748a/sdk/formrecognizer/ai-form-recognizer/assets/forms/Invoice_1.pdf", - }, - queryParameters: { outputContentFormat: "markdown" }, // <-- new query parameter - }); -``` - -### Query Fields - -When this feature flag is specified, the service will further extract the values of the fields specified via the queryFields query parameter to supplement any existing fields defined by the model as fallback. - -```ts -await client.path("/documentModels/{modelId}:analyze", "prebuilt-layout").post({ - contentType: "application/json", - body: { urlSource: "..." }, - queryParameters: { - features: ["queryFields"], - queryFields: ["NumberOfGuests", "StoreNumber"], - }, // <-- new query parameter -}); -``` - -### Split Options - -In the previous API versions supported by the older `@azure/ai-form-recognizer` library, document splitting and classification operation (`"/documentClassifiers/{classifierId}:analyze"`) always tried to split the input file into multiple documents. - -To enable a wider set of scenarios, service introduces a "split" query parameter with the new "2023-10-31-preview" service version. The following values are supported: - -- `split: "auto"` - - Let service determine where to split. - -- `split: "none"` - - The entire file is treated as a single document. No splitting is performed. - -- `split: "perPage"` - - Each page is treated as a separate document. Each empty page is kept as its own document. - -Checkout our [samples](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/documentintelligence/ai-document-intelligence-rest/samples/v1-beta) for more examples. diff --git a/sdk/documentintelligence/ai-document-intelligence-rest/README.md b/sdk/documentintelligence/ai-document-intelligence-rest/README.md index 7f6e954883a7..f3b57ac6df23 100644 --- a/sdk/documentintelligence/ai-document-intelligence-rest/README.md +++ b/sdk/documentintelligence/ai-document-intelligence-rest/README.md @@ -1,41 +1,14 @@ -# Azure DocumentIntelligence (formerly FormRecognizer) REST client library for JavaScript +# Azure DocumentIntelligence(formerlyFormRecognizer) REST client library for JavaScript Extracts content, layout, and structured data from documents. **Please rely heavily on our [REST client docs](https://github.com/Azure/azure-sdk-for-js/blob/main/documentation/rest-clients.md) to use this library** -> NOTE: Form Recognizer has been rebranded to Document Intelligence. Please check the [Migration Guide from `@azure/ai-form-recognizer` to `@azure-rest/ai-document-intelligence`](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/documentintelligence/ai-document-intelligence-rest/MIGRATION-FR_v4-DI_v1.md). - Key links: - [Source code](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/documentintelligence/ai-document-intelligence-rest) - [Package (NPM)](https://www.npmjs.com/package/@azure-rest/ai-document-intelligence) -- [API reference documentation](https://docs.microsoft.com/javascript/api/@azure-rest/ai-document-intelligence?view=azure-node-preview) -- [Samples](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/documentintelligence/ai-document-intelligence-rest/samples) -- [Changelog](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/documentintelligence/ai-document-intelligence-rest/CHANGELOG.md) -- [Migration Guide from Form Recognizer](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/documentintelligence/ai-document-intelligence-rest/MIGRATION-FR_v4-DI_v1.md) - -> This version of the client library defaults to the `"2024-07-31-preview"` version of the service. - -This table shows the relationship between SDK versions and supported API versions of the service: - -| SDK version | Supported API version of service | -| ------------ | -------------------------------- | -| 1.0.0-beta.3 | 2024-07-31-preview | -| 1.0.0-beta.2 | 2024-02-29-preview | -| 1.0.0-beta.1 | 2023-10-31-preview | - -> Please rely on the older `@azure/ai-form-recognizer` library through the older service API versions for retired models, such as `"prebuilt-businessCard"` and `"prebuilt-document"`. For more information, see [Changelog](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/documentintelligence/ai-document-intelligence-rest/CHANGELOG.md). - -The below table describes the relationship of each client and its supported API version(s): - -| Service API version | Supported clients | Package | -| ------------------- | ------------------------------------------------------------ | ------------------------------------------------------------- | -| 2024-07-31-preview | DocumentIntelligenceClient | `@azure-rest/ai-document-intelligence` version `1.0.0-beta.3` | -| 2024-02-29-preview | DocumentIntelligenceClient | `@azure-rest/ai-document-intelligence` version `1.0.0-beta.2` | -| 2023-10-31-preview | DocumentIntelligenceClient | `@azure-rest/ai-document-intelligence` version `1.0.0-beta.1` | -| 2023-07-31 | DocumentAnalysisClient and DocumentModelAdministrationClient | `@azure/ai-form-recognizer` version `^5.0.0` | -| 2022-08-01 | DocumentAnalysisClient and DocumentModelAdministrationClient | `@azure/ai-form-recognizer` version `^4.0.0` | +- [API reference documentation](https://docs.microsoft.com/javascript/api/@azure-rest/ai-document-intelligence) ## Getting started @@ -61,238 +34,12 @@ To use an [Azure Active Directory (AAD) token credential](https://github.com/Azu provide an instance of the desired credential type obtained from the [@azure/identity](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/identity/identity#credentials) library. -To authenticate with AAD, you must first `npm` install [`@azure/identity`](https://www.npmjs.com/package/@azure/identity) +To authenticate with AAD, you must first `npm` install [`@azure/identity`](https://www.npmjs.com/package/@azure/identity) After setup, you can choose which type of [credential](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/identity/identity#credentials) from `@azure/identity` to use. As an example, [DefaultAzureCredential](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/identity/identity#defaultazurecredential) can be used to authenticate the client. -Set the values of the client ID, tenant ID, and client secret of the AAD application as environment variables: -AZURE_CLIENT_ID, AZURE_TENANT_ID, AZURE_CLIENT_SECRET - -### Using a Token Credential - -```ts -import DocumentIntelligence from "@azure-rest/ai-document-intelligence"; - -const client = DocumentIntelligence( - process.env["DOCUMENT_INTELLIGENCE_ENDPOINT"], - new DefaultAzureCredential(), -); -``` - -### Using an API KEY - -```ts -import DocumentIntelligence from "@azure-rest/ai-document-intelligence"; - -const client = DocumentIntelligence(process.env["DOCUMENT_INTELLIGENCE_ENDPOINT"], { - key: process.env["DOCUMENT_INTELLIGENCE_API_KEY"], -}); -``` - -## Document Models - -### Analyze prebuilt-layout (urlSource) - -```ts -const initialResponse = await client - .path("/documentModels/{modelId}:analyze", "prebuilt-layout") - .post({ - contentType: "application/json", - body: { - urlSource: - "https://raw.githubusercontent.com/Azure/azure-sdk-for-js/6704eff082aaaf2d97c1371a28461f512f8d748a/sdk/formrecognizer/ai-form-recognizer/assets/forms/Invoice_1.pdf", - }, - queryParameters: { locale: "en-IN" }, - }); -``` - -### Analyze prebuilt-layout (base64Source) - -```ts -import fs from "fs"; -import path from "path"; - -const filePath = path.join(ASSET_PATH, "forms", "Invoice_1.pdf"); -const base64Source = fs.readFileSync(filePath, { encoding: "base64" }); -const initialResponse = await client - .path("/documentModels/{modelId}:analyze", "prebuilt-layout") - .post({ - contentType: "application/json", - body: { - base64Source, - }, - queryParameters: { locale: "en-IN" }, - }); -``` - -Continue creating the poller from initial response - -```ts -import { - getLongRunningPoller, - AnalyzeResultOperationOutput, - isUnexpected, -} from "@azure-rest/ai-document-intelligence"; - -if (isUnexpected(initialResponse)) { - throw initialResponse.body.error; -} -const poller = await getLongRunningPoller(client, initialResponse); -const result = (await poller.pollUntilDone()).body as AnalyzeResultOperationOutput; -console.log(result); -// { -// status: 'succeeded', -// createdDateTime: '2023-11-10T13:31:31Z', -// lastUpdatedDateTime: '2023-11-10T13:31:34Z', -// analyzeResult: { -// apiVersion: '2023-10-31-preview', -// . -// . -// . -// contentFormat: 'text' -// } -// } -``` - -### Markdown content format - -Supports output with Markdown content format along with the default plain _text_. For now, this is only supported for "prebuilt-layout". Markdown content format is deemed a more friendly format for LLM consumption in a chat or automation use scenario. - -Service follows the GFM spec ([GitHub Flavored Markdown](https://github.github.com/gfm/)) for the Markdown format. Also introduces a new _contentFormat_ property with value "text" or "markdown" to indicate the result content format. - -```ts -import DocumentIntelligence from "@azure-rest/ai-document-intelligence"; -const client = DocumentIntelligence(process.env["DOCUMENT_INTELLIGENCE_ENDPOINT"], { - key: process.env["DOCUMENT_INTELLIGENCE_API_KEY"], -}); - -const initialResponse = await client - .path("/documentModels/{modelId}:analyze", "prebuilt-layout") - .post({ - contentType: "application/json", - body: { - urlSource: - "https://raw.githubusercontent.com/Azure/azure-sdk-for-js/6704eff082aaaf2d97c1371a28461f512f8d748a/sdk/formrecognizer/ai-form-recognizer/assets/forms/Invoice_1.pdf", - }, - queryParameters: { outputContentFormat: "markdown" }, // <-- new query parameter - }); -``` - -### Query Fields - -When this feature flag is specified, the service will further extract the values of the fields specified via the queryFields query parameter to supplement any existing fields defined by the model as fallback. - -```ts -await client.path("/documentModels/{modelId}:analyze", "prebuilt-layout").post({ - contentType: "application/json", - body: { urlSource: "..." }, - queryParameters: { - features: ["queryFields"], - queryFields: ["NumberOfGuests", "StoreNumber"], - }, // <-- new query parameter -}); -``` - -### Split Options - -In the previous API versions supported by the older `@azure/ai-form-recognizer` library, document splitting and classification operation (`"/documentClassifiers/{classifierId}:analyze"`) always tried to split the input file into multiple documents. - -To enable a wider set of scenarios, service introduces a "split" query parameter with the new "2023-10-31-preview" service version. The following values are supported: - -- `split: "auto"` - - Let service determine where to split. - -- `split: "none"` - - The entire file is treated as a single document. No splitting is performed. - -- `split: "perPage"` - - Each page is treated as a separate document. Each empty page is kept as its own document. - -## Document Classifiers #Build - -```ts -import { - DocumentClassifierBuildOperationDetailsOutput, - getLongRunningPoller, - isUnexpected, -} from "@azure-rest/ai-document-intelligence"; - -const containerSasUrl = (): string => - process.env["DOCUMENT_INTELLIGENCE_TRAINING_CONTAINER_SAS_URL"]; -const initialResponse = await client.path("/documentClassifiers:build").post({ - body: { - classifierId: `customClassifier${getRandomNumber()}`, - description: "Custom classifier description", - docTypes: { - foo: { - azureBlobSource: { - containerUrl: containerSasUrl(), - }, - }, - bar: { - azureBlobSource: { - containerUrl: containerSasUrl(), - }, - }, - }, - }, -}); - -if (isUnexpected(initialResponse)) { - throw initialResponse.body.error; -} -const poller = await getLongRunningPoller(client, initialResponse); -const response = (await poller.pollUntilDone()) - .body as DocumentClassifierBuildOperationDetailsOutput; -console.log(response); -// { -// operationId: '31466834048_f3ee629e-73fb-48ab-993b-1d55d73ca460', -// kind: 'documentClassifierBuild', -// status: 'succeeded', -// . -// . -// result: { -// classifierId: 'customClassifier10978', -// createdDateTime: '2023-11-09T12:45:56Z', -// . -// . -// description: 'Custom classifier description' -// }, -// apiVersion: '2023-10-31-preview' -// } -``` - -## Get Info - -```ts -const response = await client.path("/info").get(); -if (isUnexpected(response)) { - throw response.body.error; -} -console.log(response.body.customDocumentModels.limit); -// 20000 -``` - -## List Document Models - -```ts -import { paginate } from "@azure-rest/ai-document-intelligence"; -const response = await client.path("/documentModels").get(); -if (isUnexpected(response)) { - throw response.body.error; -} - -const modelsInAccount: string[] = []; -for await (const model of paginate(client, response)) { - console.log(model.modelId); -} -``` - ## Troubleshooting ### Logging diff --git a/sdk/documentintelligence/ai-document-intelligence-rest/api-extractor.json b/sdk/documentintelligence/ai-document-intelligence-rest/api-extractor.json index 6a70a0a1f069..00758c3a187a 100644 --- a/sdk/documentintelligence/ai-document-intelligence-rest/api-extractor.json +++ b/sdk/documentintelligence/ai-document-intelligence-rest/api-extractor.json @@ -1,18 +1,31 @@ { "$schema": "https://developer.microsoft.com/json-schemas/api-extractor/v7/api-extractor.schema.json", "mainEntryPointFilePath": "./dist/esm/index.d.ts", - "docModel": { "enabled": true }, - "apiReport": { "enabled": true, "reportFolder": "./review" }, + "docModel": { + "enabled": true + }, + "apiReport": { + "enabled": true, + "reportFolder": "./review" + }, "dtsRollup": { "enabled": true, "untrimmedFilePath": "", "publicTrimmedFilePath": "./types/ai-document-intelligence.d.ts" }, "messages": { - "tsdocMessageReporting": { "default": { "logLevel": "none" } }, + "tsdocMessageReporting": { + "default": { + "logLevel": "none" + } + }, "extractorMessageReporting": { - "ae-missing-release-tag": { "logLevel": "none" }, - "ae-unresolved-link": { "logLevel": "none" } + "ae-missing-release-tag": { + "logLevel": "none" + }, + "ae-unresolved-link": { + "logLevel": "none" + } } } -} +} \ No newline at end of file diff --git a/sdk/documentintelligence/ai-document-intelligence-rest/assets.json b/sdk/documentintelligence/ai-document-intelligence-rest/assets.json deleted file mode 100644 index ff651b11c442..000000000000 --- a/sdk/documentintelligence/ai-document-intelligence-rest/assets.json +++ /dev/null @@ -1,6 +0,0 @@ -{ - "AssetsRepo": "Azure/azure-sdk-assets", - "AssetsRepoPrefixPath": "js", - "TagPrefix": "js/documentintelligence/ai-document-intelligence-rest", - "Tag": "js/documentintelligence/ai-document-intelligence-rest_c52f06c699" -} diff --git a/sdk/documentintelligence/ai-document-intelligence-rest/assets/Acord_27.pdf b/sdk/documentintelligence/ai-document-intelligence-rest/assets/Acord_27.pdf 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