/
conftest.py
353 lines (244 loc) · 9.64 KB
/
conftest.py
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
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from unittest.mock import MagicMock, patch
from google.cloud import aiplatform
import pytest
@pytest.fixture
def mock_sdk_init():
with patch.object(aiplatform, "init") as mock:
yield mock
"""
----------------------------------------------------------------------------
Dataset Fixtures
----------------------------------------------------------------------------
"""
"""Dataset objects returned by SomeDataset(), create(), import_data(), etc. """
@pytest.fixture
def mock_image_dataset():
mock = MagicMock(aiplatform.datasets.ImageDataset)
yield mock
@pytest.fixture
def mock_tabular_dataset():
mock = MagicMock(aiplatform.datasets.TabularDataset)
yield mock
@pytest.fixture
def mock_text_dataset():
mock = MagicMock(aiplatform.datasets.TextDataset)
yield mock
@pytest.fixture
def mock_video_dataset():
mock = MagicMock(aiplatform.datasets.VideoDataset)
yield mock
"""Mocks for getting an existing Dataset, i.e. ds = aiplatform.ImageDataset(...) """
@pytest.fixture
def mock_get_image_dataset(mock_image_dataset):
with patch.object(aiplatform, "ImageDataset") as mock_get_image_dataset:
mock_get_image_dataset.return_value = mock_image_dataset
yield mock_get_image_dataset
@pytest.fixture
def mock_get_tabular_dataset(mock_tabular_dataset):
with patch.object(aiplatform, "TabularDataset") as mock_get_tabular_dataset:
mock_get_tabular_dataset.return_value = mock_tabular_dataset
yield mock_get_tabular_dataset
@pytest.fixture
def mock_get_text_dataset(mock_text_dataset):
with patch.object(aiplatform, "TextDataset") as mock_get_text_dataset:
mock_get_text_dataset.return_value = mock_text_dataset
yield mock_get_text_dataset
@pytest.fixture
def mock_get_video_dataset(mock_video_dataset):
with patch.object(aiplatform, "VideoDataset") as mock_get_video_dataset:
mock_get_video_dataset.return_value = mock_video_dataset
yield mock_get_video_dataset
"""Mocks for creating a new Dataset, i.e. aiplatform.ImageDataset.create(...) """
@pytest.fixture
def mock_create_image_dataset(mock_image_dataset):
with patch.object(aiplatform.ImageDataset, "create") as mock_create_image_dataset:
mock_create_image_dataset.return_value = mock_image_dataset
yield mock_create_image_dataset
@pytest.fixture
def mock_create_tabular_dataset(mock_tabular_dataset):
with patch.object(
aiplatform.TabularDataset, "create"
) as mock_create_tabular_dataset:
mock_create_tabular_dataset.return_value = mock_tabular_dataset
yield mock_create_tabular_dataset
@pytest.fixture
def mock_create_text_dataset(mock_text_dataset):
with patch.object(aiplatform.TextDataset, "create") as mock_create_text_dataset:
mock_create_text_dataset.return_value = mock_text_dataset
yield mock_create_text_dataset
@pytest.fixture
def mock_create_video_dataset(mock_video_dataset):
with patch.object(aiplatform.VideoDataset, "create") as mock_create_video_dataset:
mock_create_video_dataset.return_value = mock_video_dataset
yield mock_create_video_dataset
"""Mocks for SomeDataset.import_data() """
@pytest.fixture
def mock_import_image_dataset(mock_image_dataset):
with patch.object(mock_image_dataset, "import_data") as mock:
yield mock
@pytest.fixture
def mock_import_tabular_dataset(mock_tabular_dataset):
with patch.object(mock_tabular_dataset, "import_data") as mock:
yield mock
@pytest.fixture
def mock_import_text_dataset(mock_text_dataset):
with patch.object(mock_text_dataset, "import_data") as mock:
yield mock
@pytest.fixture
def mock_import_video_data(mock_video_dataset):
with patch.object(mock_video_dataset, "import_data") as mock:
yield mock
# ----------------------------------------------------------------------------
# TrainingJob Fixtures
# ----------------------------------------------------------------------------
@pytest.fixture
def mock_custom_training_job():
mock = MagicMock(aiplatform.training_jobs.CustomTrainingJob)
yield mock
@pytest.fixture
def mock_custom_container_training_job():
mock = MagicMock(aiplatform.training_jobs.CustomContainerTrainingJob)
yield mock
@pytest.fixture
def mock_custom_package_training_job():
mock = MagicMock(aiplatform.training_jobs.CustomPythonPackageTrainingJob)
yield mock
@pytest.fixture
def mock_image_training_job():
mock = MagicMock(aiplatform.training_jobs.AutoMLImageTrainingJob)
yield mock
@pytest.fixture
def mock_tabular_training_job():
mock = MagicMock(aiplatform.training_jobs.AutoMLTabularTrainingJob)
yield mock
@pytest.fixture
def mock_text_training_job():
mock = MagicMock(aiplatform.training_jobs.AutoMLTextTrainingJob)
yield mock
@pytest.fixture
def mock_video_training_job():
mock = MagicMock(aiplatform.training_jobs.AutoMLVideoTrainingJob)
yield mock
@pytest.fixture
def mock_get_automl_tabular_training_job(mock_tabular_training_job):
with patch.object(aiplatform, "AutoMLTabularTrainingJob") as mock:
mock.return_value = mock_tabular_training_job
yield mock
@pytest.fixture
def mock_run_automl_tabular_training_job(mock_tabular_training_job):
with patch.object(mock_tabular_training_job, "run") as mock:
yield mock
@pytest.fixture
def mock_get_automl_image_training_job(mock_image_training_job):
with patch.object(aiplatform, "AutoMLImageTrainingJob") as mock:
mock.return_value = mock_image_training_job
yield mock
@pytest.fixture
def mock_run_automl_image_training_job(mock_image_training_job):
with patch.object(mock_image_training_job, "run") as mock:
yield mock
@pytest.fixture
def mock_get_custom_training_job(mock_custom_training_job):
with patch.object(aiplatform, "CustomTrainingJob") as mock:
mock.return_value = mock_custom_training_job
yield mock
@pytest.fixture
def mock_get_custom_container_training_job(mock_custom_container_training_job):
with patch.object(aiplatform, "CustomContainerTrainingJob") as mock:
mock.return_value = mock_custom_container_training_job
yield mock
@pytest.fixture
def mock_get_custom_package_training_job(mock_custom_package_training_job):
with patch.object(aiplatform, "CustomPythonPackageTrainingJob") as mock:
mock.return_value = mock_custom_package_training_job
yield mock
@pytest.fixture
def mock_run_custom_training_job(mock_custom_training_job):
with patch.object(mock_custom_training_job, "run") as mock:
yield mock
@pytest.fixture
def mock_run_custom_container_training_job(mock_custom_container_training_job):
with patch.object(mock_custom_container_training_job, "run") as mock:
yield mock
@pytest.fixture
def mock_run_custom_package_training_job(mock_custom_package_training_job):
with patch.object(mock_custom_package_training_job, "run") as mock:
yield mock
"""
----------------------------------------------------------------------------
Model Fixtures
----------------------------------------------------------------------------
"""
@pytest.fixture
def mock_model():
mock = MagicMock(aiplatform.models.Model)
yield mock
@pytest.fixture
def mock_init_model(mock_model):
with patch.object(aiplatform, "Model") as mock:
mock.return_value = mock_model
yield mock
@pytest.fixture
def mock_batch_predict_model(mock_model):
with patch.object(mock_model, "batch_predict") as mock:
yield mock
@pytest.fixture
def mock_upload_model(mock_model):
with patch.object(aiplatform.Model, "upload") as mock:
mock.return_value = mock_model
yield mock
@pytest.fixture
def mock_deploy_model(mock_model, mock_endpoint):
with patch.object(mock_model, "deploy") as mock:
mock.return_value = mock_endpoint
yield mock
"""
----------------------------------------------------------------------------
Job Fixtures
----------------------------------------------------------------------------
"""
@pytest.fixture
def mock_create_batch_prediction_job():
with patch.object(aiplatform.jobs.BatchPredictionJob, "create") as mock:
yield mock
"""
----------------------------------------------------------------------------
Endpoint Fixtures
----------------------------------------------------------------------------
"""
@pytest.fixture
def mock_endpoint():
mock = MagicMock(aiplatform.models.Endpoint)
yield mock
@pytest.fixture
def mock_create_endpoint():
with patch.object(aiplatform.models.Endpoint, "create") as mock:
yield mock
@pytest.fixture
def mock_get_endpoint(mock_endpoint):
with patch.object(aiplatform, "Endpoint") as mock_get_endpoint:
mock_get_endpoint.return_value = mock_endpoint
yield mock_get_endpoint
@pytest.fixture
def mock_endpoint_predict(mock_endpoint):
with patch.object(mock_endpoint, "predict") as mock:
mock.return_value = []
yield mock
@pytest.fixture
def mock_endpoint_explain(mock_endpoint):
with patch.object(mock_endpoint, "explain") as mock_endpoint_explain:
mock_get_endpoint.return_value = mock_endpoint
yield mock_endpoint_explain