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# coding=utf-8
# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
import uuid
import functools
from devtools_testutils import recorded_by_proxy, set_bodiless_matcher
from azure.ai.documentintelligence import DocumentIntelligenceClient
from azure.ai.documentintelligence.models import (
AnalyzeBatchDocumentsRequest,
AzureBlobContentSource,
)
from testcase import DocumentIntelligenceTest
from preparers import DocumentIntelligencePreparer, GlobalClientPreparer as _GlobalClientPreparer
DocumentIntelligenceClientPreparer = functools.partial(_GlobalClientPreparer, DocumentIntelligenceClient)
class TestDACAnalyzeBatch(DocumentIntelligenceTest):
@DocumentIntelligencePreparer()
@DocumentIntelligenceClientPreparer()
@recorded_by_proxy
def test_doc_batch_analysis(
self,
client,
documentintelligence_batch_training_data_container_sas_url,
documentintelligence_batch_training_result_data_container_sas_url,
**kwargs
):
set_bodiless_matcher()
recorded_variables = kwargs.pop("variables", {})
recorded_variables.setdefault("model_id", str(uuid.uuid4()))
request = AnalyzeBatchDocumentsRequest(
result_container_url=documentintelligence_batch_training_result_data_container_sas_url,
azure_blob_source=AzureBlobContentSource(
container_url=documentintelligence_batch_training_data_container_sas_url
),
)
poller = client.begin_analyze_batch_documents(
model_id="prebuilt-layout",
body=request,
)
response = poller.result()
# FIXME: The training data container isn't being cleaned up, tracking issue: https://github.com/Azure/azure-sdk-for-python/issues/38881
# assert response.succeeded_count == 6
assert response.failed_count == 0
assert response.skipped_count == 0
return recorded_variables
|
