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# coding=utf-8
# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
import pytest
import uuid
from devtools_testutils import recorded_by_proxy, set_bodiless_matcher, get_credential
from azure.core.exceptions import ResourceNotFoundError
from azure.ai.documentintelligence import DocumentIntelligenceClient, DocumentIntelligenceAdministrationClient
from azure.ai.documentintelligence.models import (
BuildDocumentModelRequest,
AzureBlobContentSource,
AnalyzeDocumentRequest,
)
from testcase import DocumentIntelligenceTest
from preparers import DocumentIntelligencePreparer
from conftest import skip_flaky_test
class TestDACAnalyzeCustomModel(DocumentIntelligenceTest):
@DocumentIntelligencePreparer()
def test_analyze_document_none_model_id(self, **kwargs):
documentintelligence_endpoint = kwargs.pop("documentintelligence_endpoint")
client = DocumentIntelligenceClient(documentintelligence_endpoint, get_credential())
with pytest.raises(ValueError) as e:
client.begin_analyze_document(model_id=None, body=b"xx")
assert "No value for given attribute" in str(e.value)
@DocumentIntelligencePreparer()
def test_analyze_document_none_model_id_from_url(self, **kwargs):
documentintelligence_endpoint = kwargs.pop("documentintelligence_endpoint")
client = DocumentIntelligenceClient(documentintelligence_endpoint, get_credential())
with pytest.raises(ValueError) as e:
client.begin_analyze_document(model_id=None, body=AnalyzeDocumentRequest(url_source="https://badurl.jpg"))
assert "No value for given attribute" in str(e.value)
@DocumentIntelligencePreparer()
@recorded_by_proxy
def test_analyze_document_empty_model_id(self, **kwargs):
documentintelligence_endpoint = kwargs.pop("documentintelligence_endpoint")
client = DocumentIntelligenceClient(documentintelligence_endpoint, get_credential())
with pytest.raises(ResourceNotFoundError) as e:
client.begin_analyze_document(model_id="", body=b"xx")
assert "Resource not found" in str(e.value)
@DocumentIntelligencePreparer()
@recorded_by_proxy
def test_analyze_document_empty_model_id_from_url(self, **kwargs):
documentintelligence_endpoint = kwargs.pop("documentintelligence_endpoint")
client = DocumentIntelligenceClient(documentintelligence_endpoint, get_credential())
with pytest.raises(ResourceNotFoundError) as e:
client.begin_analyze_document(model_id="", body=AnalyzeDocumentRequest(url_source="https://badurl.jpg"))
assert "Resource not found" in str(e.value)
@skip_flaky_test
@DocumentIntelligencePreparer()
@recorded_by_proxy
def test_custom_document_transform(self, documentintelligence_storage_container_sas_url, **kwargs):
set_bodiless_matcher()
documentintelligence_endpoint = kwargs.pop("documentintelligence_endpoint")
di_admin_client = DocumentIntelligenceAdministrationClient(documentintelligence_endpoint, get_credential())
di_client = DocumentIntelligenceClient(documentintelligence_endpoint, get_credential())
recorded_variables = kwargs.pop("variables", {})
recorded_variables.setdefault("model_id", str(uuid.uuid4()))
request = BuildDocumentModelRequest(
model_id=recorded_variables.get("model_id"),
build_mode="template",
azure_blob_source=AzureBlobContentSource(container_url=documentintelligence_storage_container_sas_url),
)
poller = di_admin_client.begin_build_document_model(request)
model = poller.result()
assert model
with open(self.form_jpg, "rb") as fd:
my_file = fd.read()
poller = di_client.begin_analyze_document(model.model_id, my_file)
document = poller.result()
assert document.model_id == model.model_id
assert len(document.pages) == 1
assert len(document.tables) == 2
assert len(document.paragraphs) == 42
assert len(document.styles) == 1
assert document.string_index_type == "textElements"
assert document.content_format == "text"
return recorded_variables
@skip_flaky_test
@DocumentIntelligencePreparer()
@recorded_by_proxy
def test_custom_document_transform_with_continuation_token(
self, documentintelligence_storage_container_sas_url, **kwargs
):
set_bodiless_matcher()
documentintelligence_endpoint = kwargs.pop("documentintelligence_endpoint")
di_admin_client = DocumentIntelligenceAdministrationClient(documentintelligence_endpoint, get_credential())
di_client = DocumentIntelligenceClient(documentintelligence_endpoint, get_credential())
recorded_variables = kwargs.pop("variables", {})
recorded_variables.setdefault("model_id", str(uuid.uuid4()))
request = BuildDocumentModelRequest(
model_id=recorded_variables.get("model_id"),
build_mode="template",
azure_blob_source=AzureBlobContentSource(container_url=documentintelligence_storage_container_sas_url),
)
poller = di_admin_client.begin_build_document_model(request)
continuation_token = poller.continuation_token()
poller2 = di_admin_client.begin_build_document_model(request, continuation_token=continuation_token)
model = poller2.result()
assert model
with open(self.form_jpg, "rb") as fd:
my_file = fd.read()
poller = di_client.begin_analyze_document(model.model_id, my_file)
continuation_token = poller.continuation_token()
di_client2 = DocumentIntelligenceClient(documentintelligence_endpoint, get_credential())
poller2 = di_client2.begin_analyze_document(None, None, continuation_token=continuation_token)
document = poller2.result()
assert document.model_id == model.model_id
assert len(document.pages) == 1
assert len(document.tables) == 2
assert len(document.paragraphs) == 42
assert len(document.styles) == 1
assert document.string_index_type == "textElements"
assert document.content_format == "text"
return recorded_variables
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