# coding=utf-8 # ------------------------------------ # Copyright (c) Microsoft Corporation. # Licensed under the MIT License. # ------------------------------------ import pytest import uuid import functools from devtools_testutils import recorded_by_proxy, set_bodiless_matcher from azure.core.exceptions import ResourceNotFoundError from azure.ai.documentintelligence import DocumentIntelligenceAdministrationClient from azure.ai.documentintelligence.models import ( AzureBlobContentSource, AzureBlobFileListContentSource, ClassifierDocumentTypeDetails, BuildDocumentClassifierRequest, ) from testcase import DocumentIntelligenceTest from preparers import DocumentIntelligencePreparer, GlobalClientPreparer as _GlobalClientPreparer DocumentModelAdministrationClientPreparer = functools.partial( _GlobalClientPreparer, DocumentIntelligenceAdministrationClient ) class TestClassifiersAsync(DocumentIntelligenceTest): @DocumentIntelligencePreparer() @DocumentModelAdministrationClientPreparer() @recorded_by_proxy def test_build_classifier(self, client, documentintelligence_training_data_classifier_sas_url, **kwargs): set_bodiless_matcher() recorded_variables = kwargs.pop("variables", {}) recorded_variables.setdefault("classifier_id", str(uuid.uuid4())) request = BuildDocumentClassifierRequest( classifier_id=recorded_variables.get("classifier_id"), description="IRS document classifier", doc_types={ "IRS-1040-A": ClassifierDocumentTypeDetails( azure_blob_source=AzureBlobContentSource( container_url=documentintelligence_training_data_classifier_sas_url, prefix="IRS-1040-A/train" ) ), "IRS-1040-B": ClassifierDocumentTypeDetails( azure_blob_source=AzureBlobContentSource( container_url=documentintelligence_training_data_classifier_sas_url, prefix="IRS-1040-B/train" ) ), "IRS-1040-C": ClassifierDocumentTypeDetails( azure_blob_source=AzureBlobContentSource( container_url=documentintelligence_training_data_classifier_sas_url, prefix="IRS-1040-C/train" ) ), "IRS-1040-D": ClassifierDocumentTypeDetails( azure_blob_source=AzureBlobContentSource( container_url=documentintelligence_training_data_classifier_sas_url, prefix="IRS-1040-D/train" ) ), "IRS-1040-E": ClassifierDocumentTypeDetails( azure_blob_source=AzureBlobContentSource( container_url=documentintelligence_training_data_classifier_sas_url, prefix="IRS-1040-E/train" ) ), }, ) poller = client.begin_build_classifier(request) result = poller.result() assert result.api_version assert result.classifier_id == recorded_variables.get("classifier_id") assert result.created_date_time assert result.expiration_date_time assert result.description == "IRS document classifier" assert len(result.doc_types) == 5 for doc_type, doc_details in result.doc_types.items(): assert doc_type assert doc_details.azure_blob_source.container_url assert doc_details.azure_blob_source.prefix.startswith(doc_type) classifier = client.get_classifier(result.classifier_id) assert classifier.api_version == result.api_version assert classifier.classifier_id == result.classifier_id assert classifier.created_date_time == result.created_date_time assert classifier.expiration_date_time == result.expiration_date_time assert classifier.description == result.description assert len(classifier.doc_types) == len(result.doc_types) for doc_type, doc_details in classifier.doc_types.items(): assert doc_type in result.doc_types assert ( doc_details.azure_blob_source.container_url == result.doc_types[doc_type].azure_blob_source.container_url ) assert doc_details.azure_blob_source.prefix == result.doc_types[doc_type].azure_blob_source.prefix classifiers_list = client.list_classifiers() for c in classifiers_list: assert c.api_version assert c.classifier_id assert c.created_date_time assert c.expiration_date_time assert c.doc_types client.delete_classifier(c.classifier_id) with pytest.raises(ResourceNotFoundError): client.get_classifier(classifier.classifier_id) return recorded_variables @DocumentIntelligencePreparer() @DocumentModelAdministrationClientPreparer() @recorded_by_proxy def test_build_classifier_file_list(self, client, documentintelligence_training_data_classifier_sas_url, **kwargs): set_bodiless_matcher() recorded_variables = kwargs.pop("variables", {}) recorded_variables.setdefault("classifier_id", str(uuid.uuid4())) request = BuildDocumentClassifierRequest( classifier_id=recorded_variables.get("classifier_id"), doc_types={ "IRS-1040-A": ClassifierDocumentTypeDetails( azure_blob_file_list_source=AzureBlobFileListContentSource( container_url=documentintelligence_training_data_classifier_sas_url, file_list="IRS-1040-A.jsonl", ) ), "IRS-1040-B": ClassifierDocumentTypeDetails( azure_blob_file_list_source=AzureBlobFileListContentSource( container_url=documentintelligence_training_data_classifier_sas_url, file_list="IRS-1040-B.jsonl", ) ), "IRS-1040-C": ClassifierDocumentTypeDetails( azure_blob_file_list_source=AzureBlobFileListContentSource( container_url=documentintelligence_training_data_classifier_sas_url, file_list="IRS-1040-C.jsonl", ) ), "IRS-1040-D": ClassifierDocumentTypeDetails( azure_blob_file_list_source=AzureBlobFileListContentSource( container_url=documentintelligence_training_data_classifier_sas_url, file_list="IRS-1040-D.jsonl", ) ), "IRS-1040-E": ClassifierDocumentTypeDetails( azure_blob_file_list_source=AzureBlobFileListContentSource( container_url=documentintelligence_training_data_classifier_sas_url, file_list="IRS-1040-E.jsonl", ) ), }, ) poller = client.begin_build_classifier(request) result = poller.result() assert result.classifier_id == recorded_variables.get("classifier_id") assert result.api_version assert result.created_date_time assert result.expiration_date_time assert result.description is None assert len(result.doc_types) == 5 for doc_type, doc_details in result.doc_types.items(): assert doc_type assert doc_details.azure_blob_file_list_source.container_url assert doc_details.azure_blob_file_list_source.file_list.startswith(doc_type) classifier = client.get_classifier(result.classifier_id) assert classifier.api_version == result.api_version assert classifier.classifier_id == result.classifier_id assert classifier.created_date_time == result.created_date_time assert classifier.expiration_date_time == result.expiration_date_time assert classifier.description == result.description assert len(classifier.doc_types) == len(result.doc_types) for doc_type, doc_details in classifier.doc_types.items(): assert doc_type in result.doc_types assert ( doc_details.azure_blob_file_list_source.container_url == result.doc_types[doc_type].azure_blob_file_list_source.container_url ) assert ( doc_details.azure_blob_file_list_source.file_list == result.doc_types[doc_type].azure_blob_file_list_source.file_list ) classifiers_list = client.list_classifiers() for c in classifiers_list: assert c.api_version assert c.classifier_id assert c.created_date_time assert c.expiration_date_time assert c.doc_types client.delete_classifier(c.classifier_id) with pytest.raises(ResourceNotFoundError): client.get_classifier(classifier.classifier_id) return recorded_variables