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# 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
|
