[formrecognizer] Add classifier administration methods (Azure#29466)

* add DocumentClassifierDetails model

* add admin methods for document classifiers

* add samples

* pushing an empty commit to prove I have access to your fork

* add begin_build_document_classifier + tests + models + regen with poller

* add tests for classifiers list/get/delete + record

* add samples for begin_build_document_classifer and fix lint

* fix sample snippet docstrings

* update changelog

* fix rtype

* fix test-resources.json

* update sample

* fix documentation

---------

Co-authored-by: Krista Pratico <krpratic@microsoft.com>

Author: catalinaperalta

sdk/formrecognizer/azure-ai-formrecognizer/CHANGELOG.md

@@ -6,6 +6,8 @@
 - Added `features` keyword argument on `begin_analyze_document()` and `begin_analyze_document_from_url()`.
 - Added `AnalysisFeature` enum with optional document analysis feature to enable.
 - Added the following optional properties on `DocumentStyle` class: `similar_font_family`, `font_style`, `font_weight`, `color`, `background_color`.
+- Added support for custom document classification on `DocumentModelAdministrationClient`: `begin_build_document_classifier`, 
+  `list_document_classifiers`, `get_document_classifier`, and `delete_document_classifier`.
 
 ### Breaking Changes
 

sdk/formrecognizer/azure-ai-formrecognizer/assets.json

@@ -2,5 +2,5 @@
   "AssetsRepo": "Azure/azure-sdk-assets",
   "AssetsRepoPrefixPath": "python",
   "TagPrefix": "python/formrecognizer/azure-ai-formrecognizer",
-  "Tag": "python/formrecognizer/azure-ai-formrecognizer_ab3a99b236"
+  "Tag": "python/formrecognizer/azure-ai-formrecognizer_380d29abf3"
 }

sdk/formrecognizer/azure-ai-formrecognizer/azure/ai/formrecognizer/__init__.py

@@ -44,6 +44,7 @@
     CurrencyValue,
     CustomDocumentModelsDetails,
     ModelBuildMode,
+    DocumentClassifierDetails,
     DocumentField,
     DocumentKeyValuePair,
     DocumentKeyValueElement,
@@ -67,6 +68,11 @@
     DocumentAnalysisInnerError,
     TargetAuthorization,
 )
+from ._generated.models import (  # patched models
+    ClassifierDocumentTypeDetails,
+    AzureBlobFileListSource,
+    AzureBlobContentSource,
+)
 from ._api_versions import FormRecognizerApiVersion, DocumentAnalysisApiVersion
 
 
@@ -110,6 +116,7 @@
     "CurrencyValue",
     "CustomDocumentModelsDetails",
     "ModelBuildMode",
+    "DocumentClassifierDetails",
     "DocumentField",
     "DocumentKeyValueElement",
     "DocumentKeyValuePair",
@@ -134,6 +141,9 @@
     "DocumentAnalysisError",
     "DocumentAnalysisInnerError",
     "TargetAuthorization",
+    "ClassifierDocumentTypeDetails",
+    "AzureBlobFileListSource",
+    "AzureBlobContentSource",
 ]
 
 __VERSION__ = VERSION

sdk/formrecognizer/azure-ai-formrecognizer/azure/ai/formrecognizer/_document_model_administration_client.py

@@ -10,6 +10,8 @@
     Any,
     Union,
     List,
+    Optional,
+    Mapping,
 )
 from azure.core.credentials import AzureKeyCredential, TokenCredential
 from azure.core.tracing.decorator import distributed_trace
@@ -26,13 +28,15 @@
 from ._document_analysis_client import DocumentAnalysisClient
 from ._models import (
     ModelBuildMode,
+    DocumentClassifierDetails,
     DocumentModelDetails,
     DocumentModelSummary,
     OperationDetails,
     OperationSummary,
     ResourceDetails,
     TargetAuthorization,
 )
+from ._generated.models import ClassifierDocumentTypeDetails
 
 
 class DocumentModelAdministrationClient(FormRecognizerClientBase):
@@ -509,6 +513,161 @@ def get_operation(self, operation_id: str, **kwargs: Any) -> OperationDetails:
             api_version=self._api_version,
         )
 
+    @distributed_trace
+    def begin_build_document_classifier(
+        self,
+        doc_types: Mapping[str, ClassifierDocumentTypeDetails],
+        *,
+        classifier_id: Optional[str] = None,
+        description: Optional[str] = None,
+        **kwargs: Any
+    ) -> DocumentModelAdministrationLROPoller[DocumentClassifierDetails]:
+        """Build a document classifier. For more information on how to build and train
+        a custom classifier model, see https://aka.ms/azsdk/formrecognizer/buildclassifiermodel.
+
+        :param doc_types: Required. Mapping of document types to classify against.
+        :keyword str classifier_id: Unique document classifier name.
+            If not specified, a classifier ID will be created for you.
+        :keyword str description: Document classifier description.
+        :return: An instance of an DocumentModelAdministrationLROPoller. Call `result()` on the poller
+            object to return a :class:`~azure.ai.formrecognizer.DocumentClassifierDetails`.
+        :rtype: ~azure.ai.formrecognizer.DocumentModelAdministrationLROPoller[DocumentClassifierDetails]
+        :raises ~azure.core.exceptions.HttpResponseError:
+
+        .. versionadded:: 2023-02-28-preview
+            The *begin_build_document_classifier* client method.
+
+        .. admonition:: Example:
+
+            .. literalinclude:: ../samples/v3.2/sample_build_classifier.py
+                :start-after: [START build_classifier]
+                :end-before: [END build_classifier]
+                :language: python
+                :dedent: 4
+                :caption: Build a document classifier.
+        """
+        def callback(raw_response, _, headers):  # pylint: disable=unused-argument
+            op_response = \
+                self._deserialize(self._generated_models.DocumentClassifierBuildOperationDetails, raw_response)
+            model_info = self._deserialize(self._generated_models.DocumentClassifierDetails, op_response.result)
+            return DocumentClassifierDetails._from_generated(model_info)
+
+        if self._api_version == DocumentAnalysisApiVersion.V2022_08_31:
+            raise ValueError("Method 'begin_build_document_classifier()' is only available for API version "
+                             "V2023_02_28_PREVIEW and later")
+        cls = kwargs.pop("cls", callback)
+        continuation_token = kwargs.pop("continuation_token", None)
+        polling_interval = kwargs.pop("polling_interval", self._client._config.polling_interval)
+        if classifier_id is None:
+            classifier_id = str(uuid.uuid4())
+
+        return self._client.document_classifiers.begin_build_classifier(
+            build_request=self._generated_models.BuildDocumentClassifierRequest(
+                classifier_id=classifier_id,
+                description=description,
+                doc_types=doc_types,
+            ),
+            cls=cls,
+            continuation_token=continuation_token,
+            polling=LROBasePolling(
+                timeout=polling_interval, lro_algorithms=[DocumentModelAdministrationPolling()], **kwargs
+            ),
+            **kwargs
+        )
+
+    @distributed_trace
+    def get_document_classifier(self, classifier_id: str, **kwargs: Any) -> DocumentClassifierDetails:
+        """Get a document classifier by its ID.
+
+        :param str classifier_id: Classifier identifier.
+        :return: DocumentClassifierDetails
+        :rtype: ~azure.ai.formrecognizer.DocumentClassifierDetails
+        :raises ~azure.core.exceptions.HttpResponseError or ~azure.core.exceptions.ResourceNotFoundError:
+
+        .. versionadded:: 2023-02-28-preview
+            The *get_document_classifier* client method.
+
+        .. admonition:: Example:
+
+            .. literalinclude:: ../samples/v3.2/sample_manage_classifiers.py
+                :start-after: [START get_document_classifier]
+                :end-before: [END get_document_classifier]
+                :language: python
+                :dedent: 4
+                :caption: Get a classifier by its ID.
+        """
+
+        if not classifier_id:
+            raise ValueError("classifier_id cannot be None or empty.")
+
+        if self._api_version == DocumentAnalysisApiVersion.V2022_08_31:
+            raise ValueError("Method 'get_document_classifier()' is only available for API version "
+                             "V2023_02_28_PREVIEW and later")
+        response = self._client.document_classifiers.get_classifier(classifier_id=classifier_id, **kwargs)
+        return DocumentClassifierDetails._from_generated(response)
+
+    @distributed_trace
+    def list_document_classifiers(self, **kwargs: Any) -> ItemPaged[DocumentClassifierDetails]:
+        """List information for each document classifier, including its classifier ID,
+        description, and when it was created.
+
+        :return: Pageable of DocumentClassifierDetails.
+        :rtype: ~azure.core.paging.ItemPaged[DocumentClassifierDetails]
+        :raises ~azure.core.exceptions.HttpResponseError:
+
+        .. versionadded:: 2023-02-28-preview
+            The *list_document_classifiers* client method.
+
+        .. admonition:: Example:
+
+            .. literalinclude:: ../samples/v3.2/sample_manage_classifiers.py
+                :start-after: [START list_document_classifiers]
+                :end-before: [END list_document_classifiers]
+                :language: python
+                :dedent: 4
+                :caption: List all classifiers that were built successfully under the Form Recognizer resource.
+        """
+
+        if self._api_version == DocumentAnalysisApiVersion.V2022_08_31:
+            raise ValueError("Method 'list_document_classifiers()' is only available for API version "
+                             "V2023_02_28_PREVIEW and later")
+        return self._client.document_classifiers.list_classifiers(  # type: ignore
+            cls=kwargs.pop(
+                "cls",
+                lambda objs: [DocumentClassifierDetails._from_generated(x) for x in objs],
+            ),
+            **kwargs
+        )
+
+    @distributed_trace
+    def delete_document_classifier(self, classifier_id: str, **kwargs: Any) -> None:
+        """Delete a document classifier.
+
+        :param str classifier_id: Classifier identifier.
+        :rtype: None
+        :raises ~azure.core.exceptions.HttpResponseError or ~azure.core.exceptions.ResourceNotFoundError:
+
+        .. versionadded:: 2023-02-28-preview
+            The *delete_document_classifier* client method.
+
+        .. admonition:: Example:
+
+            .. literalinclude:: ../samples/v3.2/sample_manage_classifiers.py
+                :start-after: [START delete_document_classifier]
+                :end-before: [END delete_document_classifier]
+                :language: python
+                :dedent: 4
+                :caption: Delete a classifier.
+        """
+
+        if not classifier_id:
+            raise ValueError("classifier_id cannot be None or empty.")
+
+        if self._api_version == DocumentAnalysisApiVersion.V2022_08_31:
+            raise ValueError("Method 'delete_document_classifier()' is only available for API version "
+                             "V2023_02_28_PREVIEW and later")
+        return self._client.document_classifiers.delete_classifier(classifier_id=classifier_id, **kwargs)
+
     def get_document_analysis_client(self, **kwargs: Any) -> DocumentAnalysisClient:
         """Get an instance of a DocumentAnalysisClient from DocumentModelAdministrationClient.
 

sdk/formrecognizer/azure-ai-formrecognizer/azure/ai/formrecognizer/_generated/v2023_02_28_preview/aio/operations/_document_classifiers_operations.py

@@ -8,6 +8,7 @@
 # --------------------------------------------------------------------------
 from typing import Any, AsyncIterable, Callable, Dict, IO, Optional, TypeVar, Union, cast
 
+from .....aio._async_polling import AsyncDocumentModelAdministrationClientLROPoller
 from azure.core.async_paging import AsyncItemPaged, AsyncList
 from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error
 from azure.core.pipeline import PipelineResponse
@@ -104,7 +105,7 @@ async def begin_build_classifier(  # pylint: disable=inconsistent-return-stateme
         self,
         build_request: _models.BuildDocumentClassifierRequest,
         **kwargs: Any
-    ) -> AsyncLROPoller[None]:
+    ) -> AsyncDocumentModelAdministrationClientLROPoller[None]:
         """Build document classifier.
 
         Builds a custom document classifier.
@@ -120,8 +121,9 @@ async def begin_build_classifier(  # pylint: disable=inconsistent-return-stateme
         :paramtype polling: bool or ~azure.core.polling.AsyncPollingMethod
         :keyword int polling_interval: Default waiting time between two polls for LRO operations if no
          Retry-After header is present.
-        :return: An instance of AsyncLROPoller that returns either None or the result of cls(response)
-        :rtype: ~azure.core.polling.AsyncLROPoller[None]
+        :return: An instance of AsyncDocumentModelAdministrationClientLROPoller that returns either
+         None or the result of cls(response)
+        :rtype: ~.....aio._async_polling.AsyncDocumentModelAdministrationClientLROPoller[None]
         :raises: ~azure.core.exceptions.HttpResponseError
         """
         _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
@@ -167,13 +169,13 @@ def get_long_running_output(pipeline_response):
         elif polling is False: polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
         else: polling_method = polling
         if cont_token:
-            return AsyncLROPoller.from_continuation_token(
+            return AsyncDocumentModelAdministrationClientLROPoller.from_continuation_token(
                 polling_method=polling_method,
                 continuation_token=cont_token,
                 client=self._client,
                 deserialization_callback=get_long_running_output
             )
-        return AsyncLROPoller(self._client, raw_result, get_long_running_output, polling_method)
+        return AsyncDocumentModelAdministrationClientLROPoller(self._client, raw_result, get_long_running_output, polling_method)
 
     begin_build_classifier.metadata = {'url': "/documentClassifiers:build"}  # type: ignore