async def test_copy_model_with_labeled_model_name_v21(
self, client, formrecognizer_storage_container_sas_url_v2,
formrecognizer_region, formrecognizer_resource_id, **kwargs):
# this can be reverted to set_bodiless_matcher() after tests are re-recorded and don't contain these headers
set_custom_default_matcher(
compare_bodies=False,
excluded_headers=
"Authorization,Content-Length,x-ms-client-request-id,x-ms-request-id"
)
async with client:
poller = await client.begin_training(
formrecognizer_storage_container_sas_url_v2,
use_training_labels=True,
model_name="mymodel")
model = await poller.result()
target = await client.get_copy_authorization(
resource_region=formrecognizer_region,
resource_id=formrecognizer_resource_id)
poller = await client.begin_copy_model(model.model_id,
target=target)
copy = await poller.result()
copied_model = await client.get_custom_model(copy.model_id)
assert copy.status == "ready"
assert copy.training_started_on
assert copy.training_completed_on
assert target["modelId"] == copy.model_id
assert target["modelId"] != model.model_id
assert copied_model
assert copied_model.model_name == "mymodel"
async def test_build_model(self, client,
formrecognizer_storage_container_sas_url,
**kwargs):
# this can be reverted to set_bodiless_matcher() after tests are re-recorded and don't contain these headers
set_custom_default_matcher(
compare_bodies=False,
excluded_headers=
"Authorization,Content-Length,x-ms-client-request-id,x-ms-request-id"
)
model_id = str(uuid.uuid4())
async with client:
poller = await client.begin_build_model(
formrecognizer_storage_container_sas_url,
"template",
model_id=model_id,
description="a v3 model",
tags={"testkey": "testvalue"})
model = await poller.result()
if self.is_live:
assert model.model_id == model_id
assert model.model_id
assert model.description == "a v3 model"
assert model.created_on
assert model.tags == {"testkey": "testvalue"}
for name, doc_type in model.doc_types.items():
assert name
for key, field in doc_type.field_schema.items():
assert key
assert field["type"]
assert doc_type.field_confidence[key] is not None
async def test_build_model_multipage_transform(
self, client, formrecognizer_multipage_storage_container_sas_url,
**kwargs):
# this can be reverted to set_bodiless_matcher() after tests are re-recorded and don't contain these headers
set_custom_default_matcher(
compare_bodies=False,
excluded_headers=
"Authorization,Content-Length,x-ms-client-request-id,x-ms-request-id"
)
raw_response = []
def callback(response, _, headers):
op_response = client._deserialize(GetOperationResponse, response)
model_info = client._deserialize(ModelInfo, op_response.result)
document_model = DocumentModel._from_generated(model_info)
raw_response.append(model_info)
raw_response.append(document_model)
async with client:
poller = await client.begin_build_model(
formrecognizer_multipage_storage_container_sas_url,
"template",
cls=callback)
model = await poller.result()
raw_model = raw_response[0]
document_model = raw_response[1]
self.assertModelTransformCorrect(document_model, raw_model)
async def test_compose_model_v21(
self, client, formrecognizer_storage_container_sas_url_v2,
**kwargs):
# this can be reverted to set_bodiless_matcher() after tests are re-recorded and don't contain these headers
set_custom_default_matcher(
compare_bodies=False,
excluded_headers=
"Authorization,Content-Length,x-ms-client-request-id,x-ms-request-id"
)
async with client:
poller = await client.begin_training(
formrecognizer_storage_container_sas_url_v2,
use_training_labels=True)
model_1 = await poller.result()
poller = await client.begin_training(
formrecognizer_storage_container_sas_url_v2,
use_training_labels=True,
model_name="second-labeled-model")
model_2 = await poller.result()
poller = await client.begin_create_composed_model(
[model_1.model_id, model_2.model_id],
model_name="my composed model")
composed_model = await poller.result()
composed_model_dict = composed_model.to_dict()
composed_model = CustomFormModel.from_dict(composed_model_dict)
self.assertComposedModelV2HasValues(composed_model, model_1, model_2)
def test_get_form_recognizer_client_v2(self, formrecognizer_test_endpoint,
formrecognizer_test_api_key,
**kwargs):
# this can be reverted to set_bodiless_matcher() after tests are re-recorded and don't contain these headers
set_custom_default_matcher(
compare_bodies=False,
excluded_headers=
"Authorization,Content-Length,x-ms-client-request-id,x-ms-request-id"
)
transport = RequestsTransport()
ftc = FormTrainingClient(
endpoint=formrecognizer_test_endpoint,
credential=AzureKeyCredential(formrecognizer_test_api_key),
transport=transport,
api_version="2.1")
with ftc:
ftc.get_account_properties()
assert transport.session is not None
with ftc.get_form_recognizer_client() as frc:
assert transport.session is not None
frc.begin_recognize_receipts_from_url(
self.receipt_url_jpg).wait()
assert frc._api_version == FormRecognizerApiVersion.V2_1
ftc.get_account_properties()
assert transport.session is not None
async def test_batch_different_partition_operations_fail(
self, tables_cosmos_account_name,
tables_primary_cosmos_account_key):
# this can be reverted to set_bodiless_matcher() after tests are re-recorded and don't contain these headers
set_custom_default_matcher(
compare_bodies=False,
excluded_headers=
"Authorization,Content-Length,x-ms-client-request-id,x-ms-request-id"
)
# Arrange
await self._set_up(tables_cosmos_account_name,
tables_primary_cosmos_account_key,
url="cosmos")
try:
entity = self._create_random_entity_dict('001', 'batch_negative_1')
await self.table.create_entity(entity)
# Act
batch = []
entity = self._create_updated_entity_dict('001',
'batch_negative_1')
batch.append(('update', entity.copy()))
entity = self._create_random_entity_dict('002', 'batch_negative_1')
batch.append(('update', entity.copy(), {
'mode': UpdateMode.REPLACE
}))
# Assert
with pytest.raises(ValueError):
await self.table.submit_transaction(batch)
finally:
await self._tear_down()
async def test_batch_request_too_large(self, tables_cosmos_account_name,
tables_primary_cosmos_account_key):
# this can be reverted to set_bodiless_matcher() after tests are re-recorded and don't contain these headers
set_custom_default_matcher(
compare_bodies=False,
excluded_headers=
"Authorization,Content-Length,x-ms-client-request-id,x-ms-request-id"
)
# Arrange
await self._set_up(tables_cosmos_account_name,
tables_primary_cosmos_account_key,
url="cosmos")
try:
batch = []
entity = {
'PartitionKey': 'pk001',
'Foo': os.urandom(1024 * 64),
'Bar': os.urandom(1024 * 64),
'Baz': os.urandom(1024 * 64)
}
for i in range(20):
entity['RowKey'] = str(i)
batch.append(('create', entity.copy()))
with pytest.raises(RequestTooLargeError):
await self.table.submit_transaction(batch)
finally:
await self._tear_down()
async def test_custom_document_signature_field(
self, client, formrecognizer_storage_container_sas_url, **kwargs):
# this can be reverted to set_bodiless_matcher() after tests are re-recorded and don't contain these headers
set_custom_default_matcher(
compare_bodies=False,
excluded_headers=
"Authorization,Content-Length,x-ms-client-request-id,x-ms-request-id"
)
da_client = client.get_document_analysis_client()
with open(self.form_jpg, "rb") as fd:
my_file = fd.read()
async with client:
build_polling = await client.begin_build_model(
formrecognizer_storage_container_sas_url, "template")
model = await build_polling.result()
async with da_client:
poller = await da_client.begin_analyze_document(
model.model_id,
my_file,
)
result = await poller.result()
assert result.documents[0].fields.get(
"FullSignature").value == "signed"
assert result.documents[0].fields.get(
"FullSignature").value_type == "signature"
# this will notify us of changes in the service, currently expecting to get a None content for signature type fields
assert result.documents[0].fields.get("FullSignature").content == None
async def test_training_without_labels_v2(self, client, formrecognizer_storage_container_sas_url_v2, **kwargs):
# this can be reverted to set_bodiless_matcher() after tests are re-recorded and don't contain these headers
set_custom_default_matcher(
compare_bodies=False, excluded_headers="Authorization,Content-Length,x-ms-client-request-id,x-ms-request-id"
)
async with client:
poller = await client.begin_training(training_files_url=formrecognizer_storage_container_sas_url_v2, use_training_labels=True)
model = await poller.result()
model_dict = model.to_dict()
model = CustomFormModel.from_dict(model_dict)
assert model.model_id
assert model.training_started_on
assert model.training_completed_on
assert model.errors == []
assert model.status == "ready"
for doc in model.training_documents:
assert doc.name
assert doc.page_count
assert doc.status
assert doc.errors == []
for sub in model.submodels:
assert sub.form_type
assert sub.accuracy is not None
for key, field in sub.fields.items():
assert field.accuracy is not None
assert field.name
def test_get_account_backups(self):
# this can be reverted to set_bodiless_matcher() after tests are re-recorded and don't contain these headers
set_custom_default_matcher(
compare_bodies=False,
excluded_headers=
"Authorization,Content-Length,x-ms-client-request-id,x-ms-request-id"
)
create_backup(self.client,
backup_name=TEST_BACKUP_1,
live=self.is_live)
account_backup = self.client.account_backups.get(
TEST_RG, TEST_ACC_1, TEST_BACKUP_1)
assert account_backup.name == TEST_ACC_1 + "/" + TEST_BACKUP_1
disable_backup(self.client, TEST_BACKUP_1, live=self.is_live)
delete_volume(self.client,
TEST_RG,
TEST_ACC_1,
TEST_POOL_1,
TEST_VOL_1,
live=self.is_live)
delete_pool(self.client,
TEST_RG,
TEST_ACC_1,
TEST_POOL_1,
live=self.is_live)
delete_account(self.client, TEST_RG, TEST_ACC_1, live=self.is_live)
async def test_pages_kwarg_specified(
self, client, formrecognizer_storage_container_sas_url, **kwargs):
# this can be reverted to set_bodiless_matcher() after tests are re-recorded and don't contain these headers
set_custom_default_matcher(
compare_bodies=False,
excluded_headers=
"Authorization,Content-Length,x-ms-client-request-id,x-ms-request-id"
)
da_client = client.get_document_analysis_client()
with open(self.form_jpg, "rb") as fd:
my_file = fd.read()
async with client:
build_poller = await client.begin_build_model(
formrecognizer_storage_container_sas_url, "template")
model = await build_poller.result()
async with da_client:
poller = await da_client.begin_analyze_document(model.model_id,
my_file,
pages="1")
assert '1' == poller._polling_method._initial_response.http_response.request.query[
'pages']
result = await poller.result()
assert result
def test_build_model_nested_schema_transform(self, client, formrecognizer_table_variable_rows_container_sas_url, **kwargs):
# this can be reverted to set_bodiless_matcher() after tests are re-recorded and don't contain these headers
set_custom_default_matcher(
compare_bodies=False, excluded_headers="Authorization,Content-Length,x-ms-client-request-id,x-ms-request-id"
)
raw_response = []
def callback(response, _, headers):
op_response = client._deserialize(GetOperationResponse, response)
model_info = client._deserialize(ModelInfo, op_response.result)
document_model = DocumentModel._from_generated(model_info)
raw_response.append(model_info)
raw_response.append(document_model)
poller = client.begin_build_model(formrecognizer_table_variable_rows_container_sas_url, "template", cls=callback)
model = poller.result()
raw_model = raw_response[0]
document_model = raw_response[1]
self.assertModelTransformCorrect(document_model, raw_model)
document_model_dict = document_model.to_dict()
document_model_from_dict = _models.DocumentModel.from_dict(document_model_dict)
assert document_model_from_dict.model_id == document_model.model_id
self.assertModelTransformCorrect(document_model_from_dict, raw_model)
def test_copy_model_with_composed_model_v21(self, client, formrecognizer_storage_container_sas_url_v2, formrecognizer_region, formrecognizer_resource_id, **kwargs):
# this can be reverted to set_bodiless_matcher() after tests are re-recorded and don't contain these headers
set_custom_default_matcher(
compare_bodies=False, excluded_headers="Authorization,Content-Length,x-ms-client-request-id,x-ms-request-id"
)
poller_1 = client.begin_training(formrecognizer_storage_container_sas_url_v2, use_training_labels=True, model_name="model1")
model_1 = poller_1.result()
poller_2 = client.begin_training(formrecognizer_storage_container_sas_url_v2, use_training_labels=True, model_name="model2")
model_2 = poller_2.result()
composed_poller = client.begin_create_composed_model([model_1.model_id, model_2.model_id], model_name="composedmodel")
composed_model = composed_poller.result()
target = client.get_copy_authorization(resource_region=formrecognizer_region, resource_id=formrecognizer_resource_id)
poller = client.begin_copy_model(composed_model.model_id, target=target)
copy = poller.result()
copied_model = client.get_custom_model(copy.model_id)
assert copy.status == "ready"
assert copy.training_started_on
assert copy.training_completed_on
assert target["modelId"] == copy.model_id
assert target["modelId"] != composed_model.model_id
assert copied_model
assert copied_model.model_name == "composedmodel"
for submodel in copied_model.submodels:
assert submodel.model_id in [model_1.model_id, model_2.model_id]
async def test_get_document_analysis_client(self,
formrecognizer_test_endpoint,
formrecognizer_test_api_key,
**kwargs):
# this can be reverted to set_bodiless_matcher() after tests are re-recorded and don't contain these headers
set_custom_default_matcher(
compare_bodies=False,
excluded_headers=
"Authorization,Content-Length,x-ms-client-request-id,x-ms-request-id"
)
transport = AioHttpTransport()
dtc = DocumentModelAdministrationClient(
endpoint=formrecognizer_test_endpoint,
credential=AzureKeyCredential(formrecognizer_test_api_key),
transport=transport)
async with dtc:
await dtc.get_account_info()
assert transport.session is not None
async with dtc.get_document_analysis_client() as dac:
assert transport.session is not None
await (await dac.begin_analyze_document_from_url(
"prebuilt-receipt", self.receipt_url_jpg)).wait()
assert dac._api_version == DocumentAnalysisApiVersion.V2022_01_30_PREVIEW
await dtc.get_account_info()
assert transport.session is not None
def test_receipt_bad_url(self, client):
# this can be reverted to set_bodiless_matcher() after tests are re-recorded and don't contain these headers
set_custom_default_matcher(
compare_bodies=False, excluded_headers="Authorization,Content-Length,x-ms-client-request-id,x-ms-request-id"
)
with pytest.raises(HttpResponseError):
poller = client.begin_analyze_document_from_url("prebuilt-receipt", "https://badurl.jpg")
async def test_pages_kwarg_specified(
self, client, formrecognizer_testing_data_container_sas_url,
**kwargs):
# this can be reverted to set_bodiless_matcher() after tests are re-recorded and don't contain these headers
set_custom_default_matcher(
compare_bodies=False,
excluded_headers=
"Authorization,Content-Length,x-ms-client-request-id,x-ms-request-id"
)
fr_client = client.get_form_recognizer_client()
blob_sas_url = _get_blob_url(
formrecognizer_testing_data_container_sas_url, "testingdata",
"multi1.pdf")
async with fr_client:
training_poller = await client.begin_training(
formrecognizer_testing_data_container_sas_url,
use_training_labels=False)
model = await training_poller.result()
poller = await fr_client.begin_recognize_custom_forms_from_url(
model.model_id, blob_sas_url, pages=["1"])
assert '1' == poller._polling_method._initial_response.http_response.request.query[
'pages']
result = await poller.result()
assert result
def test_receipt_multipage_url(self, client):
# this can be reverted to set_bodiless_matcher() after tests are re-recorded and don't contain these headers
set_custom_default_matcher(
compare_bodies=False, excluded_headers="Authorization,Content-Length,x-ms-client-request-id,x-ms-request-id"
)
poller = client.begin_analyze_document_from_url("prebuilt-receipt", self.multipage_receipt_url_pdf)
result = poller.result()
assert len(result.documents) == 2
receipt = result.documents[0]
assert receipt.fields.get("MerchantAddress").value, '123 Main Street Redmond == WA 98052'
assert receipt.fields.get("MerchantName").value == 'Contoso'
assert receipt.fields.get("MerchantPhoneNumber").value == '+19876543210'
assert receipt.fields.get("Subtotal").value == 11.7
assert receipt.fields.get("TotalTax").value == 1.17
assert receipt.fields.get("Tip").value == 1.63
assert receipt.fields.get("Total").value == 14.5
assert receipt.fields.get("TransactionDate").value == date(year=2019, month=6, day=10)
assert receipt.fields.get("TransactionTime").value == time(hour=13, minute=59, second=0)
assert receipt.doc_type == "receipt.retailMeal"
receipt = result.documents[1]
assert receipt.fields.get("MerchantAddress").value, '123 Main Street Redmond == WA 98052'
assert receipt.fields.get("MerchantName").value == 'Contoso'
assert receipt.fields.get("Subtotal").value == 1098.99
assert receipt.fields.get("TotalTax").value == 104.4
assert receipt.fields.get("Total").value == 1203.39
assert receipt.fields.get("TransactionDate").value == date(year=2019, month=6, day=10)
assert receipt.fields.get("TransactionTime").value == time(hour=13, minute=59, second=0)
assert receipt.doc_type == "receipt.retailMeal"
assert len(result.pages) == 2
async def test_form_multipage_labeled(
self, client,
formrecognizer_multipage_storage_container_sas_url_v2, **kwargs):
# this can be reverted to set_bodiless_matcher() after tests are re-recorded and don't contain these headers
set_custom_default_matcher(
compare_bodies=False,
excluded_headers=
"Authorization,Content-Length,x-ms-client-request-id,x-ms-request-id"
)
fr_client = client.get_form_recognizer_client()
blob_sas_url = _get_blob_url(
formrecognizer_multipage_storage_container_sas_url_v2,
"multipage-training-data", "multipage_invoice1.pdf")
async with client:
training_poller = await client.begin_training(
formrecognizer_multipage_storage_container_sas_url_v2,
use_training_labels=True)
model = await training_poller.result()
async with fr_client:
poller = await fr_client.begin_recognize_custom_forms_from_url(
model.model_id, blob_sas_url)
forms = await poller.result()
for form in forms:
assert form.form_type == "custom:" + model.model_id
self.assertLabeledRecognizedFormHasValues(form, model)
async def test_new_non_existent_table(self, tables_cosmos_account_name,
tables_primary_cosmos_account_key):
# this can be reverted to set_bodiless_matcher() after tests are re-recorded and don't contain these headers
set_custom_default_matcher(
compare_bodies=False,
excluded_headers=
"Authorization,Content-Length,x-ms-client-request-id,x-ms-request-id"
)
# Arrange
await self._set_up(tables_cosmos_account_name,
tables_primary_cosmos_account_key,
url="cosmos")
try:
entity = self._create_random_entity_dict('001', 'batch_negative_1')
tc = self.ts.get_table_client("doesntexist")
batch = [('create', entity)]
with pytest.raises(TableTransactionError):
resp = await tc.submit_transaction(batch)
# Assert
finally:
await self._tear_down()
async def test_identity_document_jpg_passport(self, client):
# this can be reverted to set_bodiless_matcher() after tests are re-recorded and don't contain these headers
set_custom_default_matcher(
compare_bodies=False,
excluded_headers=
"Authorization,Content-Length,x-ms-client-request-id,x-ms-request-id"
)
async with client:
poller = await client.begin_analyze_document_from_url(
"prebuilt-idDocument", self.identity_document_url_jpg_passport)
result = await poller.result()
assert len(result.documents) == 1
id_document = result.documents[0]
# check dict values
passport = id_document.fields.get("MachineReadableZone").value
assert passport["LastName"].value == "MARTIN"
assert passport["FirstName"].value == "SARAH"
assert passport["DocumentNumber"].value == "ZE000509"
assert passport["DateOfBirth"].value == date(1985, 1, 1)
assert passport["DateOfExpiration"].value == date(2023, 1, 14)
assert passport["Sex"].value == "F"
assert passport["CountryRegion"].value == "CAN"
def test_mgmt_model(self, client, formrecognizer_storage_container_sas_url, **kwargs):
# this can be reverted to set_bodiless_matcher() after tests are re-recorded and don't contain these headers
set_custom_default_matcher(
compare_bodies=False, excluded_headers="Authorization,Content-Length,x-ms-client-request-id,x-ms-request-id"
)
poller = client.begin_build_model(formrecognizer_storage_container_sas_url, description="mgmt model")
model = poller.result()
model_from_get = client.get_model(model.model_id)
assert model.model_id == model_from_get.model_id
assert model.description == model_from_get.description
assert model.created_on == model_from_get.created_on
for name, doc_type in model.doc_types.items():
assert name in model_from_get.doc_types
for key, field in doc_type.field_schema.items():
assert key in model_from_get.doc_types[name].field_schema
assert field["type"] == model_from_get.doc_types[name].field_schema[key]["type"]
assert doc_type.field_confidence[key] == model_from_get.doc_types[name].field_confidence[key]
models_list = client.list_models()
for model in models_list:
assert model.model_id
assert model.created_on
client.delete_model(model.model_id)
with pytest.raises(ResourceNotFoundError):
client.get_model(model.model_id)
async def test_identity_document_jpg(self, client):
# this can be reverted to set_bodiless_matcher() after tests are re-recorded and don't contain these headers
set_custom_default_matcher(
compare_bodies=False,
excluded_headers=
"Authorization,Content-Length,x-ms-client-request-id,x-ms-request-id"
)
async with client:
poller = await client.begin_analyze_document_from_url(
"prebuilt-idDocument", self.identity_document_url_jpg)
result = await poller.result()
assert len(result.documents) == 1
id_document = result.documents[0]
# check dict values
assert id_document.fields.get("LastName").value == "TALBOT"
assert id_document.fields.get("FirstName").value == "LIAM R."
assert id_document.fields.get("DocumentNumber").value == "WDLABCD456DG"
assert id_document.fields.get("DateOfBirth").value == date(1958, 1, 6)
assert id_document.fields.get("DateOfExpiration").value == date(
2020, 8, 12)
assert id_document.fields.get("Sex").value == "M"
assert id_document.fields.get(
"Address").value == "123 STREET ADDRESS YOUR CITY WA 99999-1234"
assert id_document.fields.get("CountryRegion").value == "USA"
assert id_document.fields.get("Region").value == "Washington"
async def test_compose_model_invalid_unlabeled_models_v21(
self, client, formrecognizer_storage_container_sas_url_v2,
**kwargs):
# this can be reverted to set_bodiless_matcher() after tests are re-recorded and don't contain these headers
set_custom_default_matcher(
compare_bodies=False,
excluded_headers=
"Authorization,Content-Length,x-ms-client-request-id,x-ms-request-id"
)
async with client:
poller = await client.begin_training(
formrecognizer_storage_container_sas_url_v2,
use_training_labels=False)
model_1 = await poller.result()
poller = await client.begin_training(
formrecognizer_storage_container_sas_url_v2,
use_training_labels=False)
model_2 = await poller.result()
with pytest.raises(HttpResponseError) as e:
poller = await client.begin_create_composed_model(
[model_1.model_id, model_2.model_id])
composed_model = await poller.result()
assert e.value.error.code == "1001"
assert e.value.error.message
async def test_invoice_tiff(self, client, **kwargs):
# this can be reverted to set_bodiless_matcher() after tests are re-recorded and don't contain these headers
set_custom_default_matcher(
compare_bodies=False,
excluded_headers=
"Authorization,Content-Length,x-ms-client-request-id,x-ms-request-id"
)
async with client:
poller = await client.begin_analyze_document_from_url(
model="prebuilt-invoice", document_url=self.invoice_url_tiff)
result = await poller.result()
assert len(result.documents) == 1
invoice = result.documents[0]
# check dict values
assert invoice.fields.get("VendorName").value == "Contoso"
assert invoice.fields.get(
"VendorAddress"
).value, '1 Redmond way Suite 6000 Redmond == WA 99243'
assert invoice.fields.get(
"CustomerAddressRecipient").value == "Microsoft"
assert invoice.fields.get(
"CustomerAddress"
).value, '1020 Enterprise Way Sunnayvale == CA 87659'
assert invoice.fields.get("CustomerName").value == "Microsoft"
assert invoice.fields.get("InvoiceId").value == '34278587'
assert invoice.fields.get("InvoiceDate").value, date(2017, 6 == 18)
assert invoice.fields.get(
"Items").value[0].value["Amount"].value.amount == 56651.49
assert invoice.fields.get(
"Items").value[0].value["Amount"].value.symbol == "$"
assert invoice.fields.get("DueDate").value, date(2017, 6 == 24)
def test_poller_metadata(self, client,
formrecognizer_storage_container_sas_url,
**kwargs):
# this can be reverted to set_bodiless_matcher() after tests are re-recorded and don't contain these headers
set_custom_default_matcher(
compare_bodies=False,
excluded_headers=
"Authorization,Content-Length,x-ms-client-request-id,x-ms-request-id"
)
poller = client.begin_build_model(
formrecognizer_storage_container_sas_url, "template")
model_1 = poller.result()
poller = client.begin_build_model(
formrecognizer_storage_container_sas_url, "template")
model_2 = poller.result()
poller = client.begin_create_composed_model(
[model_1.model_id, model_2.model_id])
assert poller.operation_id
assert poller.percent_completed is not None
poller.result()
assert poller.operation_kind == "documentModelCompose"
assert poller.percent_completed == 100
assert poller.resource_location_url
assert poller.created_on
assert poller.last_updated_on
def test_get_volume_by_name(self):
# this can be reverted to set_bodiless_matcher() after tests are re-recorded and don't contain these headers
set_custom_default_matcher(
compare_bodies=False,
excluded_headers=
"Authorization,Content-Length,x-ms-client-request-id,x-ms-request-id"
)
create_volume(self.client,
TEST_RG,
TEST_ACC_1,
TEST_POOL_1,
TEST_VOL_1,
LOCATION,
live=self.is_live)
volume = self.client.volumes.get(TEST_RG, TEST_ACC_1, TEST_POOL_1,
TEST_VOL_1)
assert volume.name == TEST_ACC_1 + '/' + TEST_POOL_1 + '/' + TEST_VOL_1
delete_volume(self.client,
TEST_RG,
TEST_ACC_1,
TEST_POOL_1,
TEST_VOL_1,
live=self.is_live)
delete_pool(self.client,
TEST_RG,
TEST_ACC_1,
TEST_POOL_1,
live=self.is_live)
delete_account(self.client, TEST_RG, TEST_ACC_1, live=self.is_live)
async def test_build_model_multipage(
self, client, formrecognizer_multipage_storage_container_sas_url,
**kwargs):
# this can be reverted to set_bodiless_matcher() after tests are re-recorded and don't contain these headers
set_custom_default_matcher(
compare_bodies=False,
excluded_headers=
"Authorization,Content-Length,x-ms-client-request-id,x-ms-request-id"
)
async with client:
poller = await client.begin_build_model(
formrecognizer_multipage_storage_container_sas_url, "template")
model = await poller.result()
assert model.model_id
assert model.api_version
assert model.tags is None
assert model.description is None
assert model.created_on
for name, doc_type in model.doc_types.items():
assert name
for key, field in doc_type.field_schema.items():
assert key
assert field["type"]
assert doc_type.field_confidence[key] is not None
assert doc_type.build_mode == "template"
def test_patch_volume(self):
# this can be reverted to set_bodiless_matcher() after tests are re-recorded and don't contain these headers
set_custom_default_matcher(
compare_bodies=False,
excluded_headers=
"Authorization,Content-Length,x-ms-client-request-id,x-ms-request-id"
)
volume = create_volume(self.client,
TEST_RG,
TEST_ACC_1,
TEST_POOL_1,
TEST_VOL_1,
live=self.is_live)
assert "Premium" == volume.service_level
assert 100 * GIGABYTE == volume.usage_threshold
volume_patch = VolumePatch(usage_threshold=200 * GIGABYTE)
volume = self.client.volumes.begin_update(TEST_RG, TEST_ACC_1,
TEST_POOL_1, TEST_VOL_1,
volume_patch).result()
assert "Premium" == volume.service_level
assert 200 * GIGABYTE == volume.usage_threshold
delete_volume(self.client,
TEST_RG,
TEST_ACC_1,
TEST_POOL_1,
TEST_VOL_1,
live=self.is_live)
delete_pool(self.client,
TEST_RG,
TEST_ACC_1,
TEST_POOL_1,
live=self.is_live)
delete_account(self.client, TEST_RG, TEST_ACC_1, live=self.is_live)
async def test_build_model_polling_interval(
self, client, formrecognizer_storage_container_sas_url, **kwargs):
# this can be reverted to set_bodiless_matcher() after tests are re-recorded and don't contain these headers
set_custom_default_matcher(
compare_bodies=False,
excluded_headers=
"Authorization,Content-Length,x-ms-client-request-id,x-ms-request-id"
)
def check_poll_value(poll):
if self.is_live:
assert poll == 5
else:
assert poll == 0
check_poll_value(client._client._config.polling_interval)
poller = await client.begin_build_model(
source=formrecognizer_storage_container_sas_url,
build_mode="template",
polling_interval=6)
await poller.wait()
assert poller._polling_method._timeout == 6
poller2 = await client.begin_build_model(
source=formrecognizer_storage_container_sas_url,
build_mode="template")
await poller2.wait()
check_poll_value(
poller2._polling_method._timeout) # goes back to client default
await client.close()
async def test_copy_model_fail_v21(
self, client, formrecognizer_storage_container_sas_url_v2,
formrecognizer_region, formrecognizer_resource_id, **kwargs):
# this can be reverted to set_bodiless_matcher() after tests are re-recorded and don't contain these headers
set_custom_default_matcher(
compare_bodies=False,
excluded_headers=
"Authorization,Content-Length,x-ms-client-request-id,x-ms-request-id"
)
async with client:
poller = await client.begin_training(
formrecognizer_storage_container_sas_url_v2,
use_training_labels=False)
model = await poller.result()
# give an incorrect region
target = await client.get_copy_authorization(
resource_region="eastus",
resource_id=formrecognizer_resource_id)
with pytest.raises(HttpResponseError) as e:
poller = await client.begin_copy_model(model.model_id,
target=target)
copy = await poller.result()
assert e.value.error.code == "2024"
assert e.value.error.message