1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
|
# coding=utf-8
# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
import pytest
import uuid
from devtools_testutils.aio import recorded_by_proxy_async
from devtools_testutils import set_bodiless_matcher, get_credential
from azure.core.exceptions import ResourceNotFoundError
from azure.ai.documentintelligence.aio import DocumentIntelligenceClient, DocumentIntelligenceAdministrationClient
from azure.ai.documentintelligence.models import (
BuildDocumentModelRequest,
AzureBlobContentSource,
AnalyzeDocumentRequest,
)
from preparers import DocumentIntelligencePreparer
from asynctestcase import AsyncDocumentIntelligenceTest
from conftest import skip_flaky_test
class TestDACAnalyzeCustomModelAsync(AsyncDocumentIntelligenceTest):
@DocumentIntelligencePreparer()
@recorded_by_proxy_async
async def test_analyze_document_none_model_id(self, **kwargs):
documentintelligence_endpoint = kwargs.pop("documentintelligence_endpoint")
client = DocumentIntelligenceClient(documentintelligence_endpoint, get_credential(is_async=True))
with pytest.raises(ValueError) as e:
async with client:
await client.begin_analyze_document(model_id=None, body=b"xx")
assert "No value for given attribute" in str(e.value)
@DocumentIntelligencePreparer()
@recorded_by_proxy_async
async def test_analyze_document_none_model_id_from_url(self, **kwargs):
documentintelligence_endpoint = kwargs.pop("documentintelligence_endpoint")
client = DocumentIntelligenceClient(documentintelligence_endpoint, get_credential(is_async=True))
with pytest.raises(ValueError) as e:
async with client:
await 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_async
async def test_analyze_document_empty_model_id(self, **kwargs):
documentintelligence_endpoint = kwargs.pop("documentintelligence_endpoint")
client = DocumentIntelligenceClient(documentintelligence_endpoint, get_credential(is_async=True))
with pytest.raises(ResourceNotFoundError) as e:
async with client:
await client.begin_analyze_document(model_id="", body=b"xx")
assert "Resource not found" in str(e.value)
@DocumentIntelligencePreparer()
@recorded_by_proxy_async
async def test_analyze_document_empty_model_id_from_url(self, **kwargs):
documentintelligence_endpoint = kwargs.pop("documentintelligence_endpoint")
client = DocumentIntelligenceClient(documentintelligence_endpoint, get_credential(is_async=True))
with pytest.raises(ResourceNotFoundError) as e:
async with client:
await 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_async
async 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(is_async=True)
)
di_client = DocumentIntelligenceClient(documentintelligence_endpoint, get_credential(is_async=True))
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),
)
async with di_admin_client:
build_poller = await di_admin_client.begin_build_document_model(request)
model = await build_poller.result()
assert model
with open(self.form_jpg, "rb") as fd:
my_file = fd.read()
async with di_client:
poller = await di_client.begin_analyze_document(model.model_id, my_file)
document = await 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_async
async 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(is_async=True)
)
di_client = DocumentIntelligenceClient(documentintelligence_endpoint, get_credential(is_async=True))
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),
)
async with di_admin_client:
build_poller = await di_admin_client.begin_build_document_model(request)
continuation_token = build_poller.continuation_token()
new_build_poller = await di_admin_client.begin_build_document_model(
request, continuation_token=continuation_token
)
model = await new_build_poller.result()
assert model
with open(self.form_jpg, "rb") as fd:
my_file = fd.read()
async with di_client:
poller = await di_client.begin_analyze_document(model.model_id, my_file)
continuation_token = poller.continuation_token()
di_client2 = DocumentIntelligenceClient(documentintelligence_endpoint, get_credential(is_async=True))
async with di_client2:
document = await (
await di_client2.begin_analyze_document(None, None, continuation_token=continuation_token)
).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
|
