Newer
Older
from apistar.exceptions import ErrorResponse
from arkindex_worker.worker import MissingDatasetArchive
from arkindex_worker.worker.dataset import DatasetState
from tests.conftest import FIXTURES_DIR, PROCESS_ID
from tests.test_elements_worker import BASE_API_CALLS
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
def test_download_dataset_artifact_list_api_error(
responses, mock_dataset_worker, default_dataset
):
task_id = default_dataset.task_id
responses.add(
responses.GET,
f"http://testserver/api/v1/task/{task_id}/artifacts/",
status=500,
)
with pytest.raises(ErrorResponse):
mock_dataset_worker.download_dataset_artifact(default_dataset)
assert len(responses.calls) == len(BASE_API_CALLS) + 5
assert [
(call.request.method, call.request.url) for call in responses.calls
] == BASE_API_CALLS + [
# The API call is retried 5 times
("GET", f"http://testserver/api/v1/task/{task_id}/artifacts/"),
("GET", f"http://testserver/api/v1/task/{task_id}/artifacts/"),
("GET", f"http://testserver/api/v1/task/{task_id}/artifacts/"),
("GET", f"http://testserver/api/v1/task/{task_id}/artifacts/"),
("GET", f"http://testserver/api/v1/task/{task_id}/artifacts/"),
]
def test_download_dataset_artifact_download_api_error(
responses, mock_dataset_worker, default_dataset
):
task_id = default_dataset.task_id
expected_results = [
{
"id": "artifact_1",
"size": 42,
"content_type": "application/zstd",
"s3_put_url": None,
"created": "2000-01-01T00:00:00Z",
"updated": "2000-01-01T00:00:00Z",
},
{
"id": "artifact_2",
"path": "logs.log",
"size": 42,
"content_type": "text/plain",
"s3_put_url": None,
"created": "2000-01-01T00:00:00Z",
"updated": "2000-01-01T00:00:00Z",
},
]
responses.add(
responses.GET,
f"http://testserver/api/v1/task/{task_id}/artifacts/",
status=200,
json=expected_results,
)
responses.add(
responses.GET,
f"http://testserver/api/v1/task/{task_id}/artifact/dataset_id.tar.zst",
status=500,
)
with pytest.raises(ErrorResponse):
mock_dataset_worker.download_dataset_artifact(default_dataset)
assert len(responses.calls) == len(BASE_API_CALLS) + 6
assert [
(call.request.method, call.request.url) for call in responses.calls
] == BASE_API_CALLS + [
("GET", f"http://testserver/api/v1/task/{task_id}/artifacts/"),
# The API call is retried 5 times
("GET", f"http://testserver/api/v1/task/{task_id}/artifact/dataset_id.tar.zst"),
("GET", f"http://testserver/api/v1/task/{task_id}/artifact/dataset_id.tar.zst"),
("GET", f"http://testserver/api/v1/task/{task_id}/artifact/dataset_id.tar.zst"),
("GET", f"http://testserver/api/v1/task/{task_id}/artifact/dataset_id.tar.zst"),
("GET", f"http://testserver/api/v1/task/{task_id}/artifact/dataset_id.tar.zst"),
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
]
def test_download_dataset_artifact_no_archive(
responses, mock_dataset_worker, default_dataset
):
task_id = default_dataset.task_id
expected_results = [
{
"id": "artifact_id",
"path": "logs.log",
"size": 42,
"content_type": "text/plain",
"s3_put_url": None,
"created": "2000-01-01T00:00:00Z",
"updated": "2000-01-01T00:00:00Z",
},
]
responses.add(
responses.GET,
f"http://testserver/api/v1/task/{task_id}/artifacts/",
status=200,
json=expected_results,
)
with pytest.raises(
MissingDatasetArchive,
match="The dataset compressed archive artifact was not found.",
):
mock_dataset_worker.download_dataset_artifact(default_dataset)
assert len(responses.calls) == len(BASE_API_CALLS) + 1
assert [
(call.request.method, call.request.url) for call in responses.calls
] == BASE_API_CALLS + [
("GET", f"http://testserver/api/v1/task/{task_id}/artifacts/"),
]
def test_download_dataset_artifact(
mocker, tmp_path, responses, mock_dataset_worker, default_dataset
):
task_id = default_dataset.task_id
archive_path = (
FIXTURES_DIR
/ "extract_parent_archives"
/ "first_parent"
/ "arkindex_data.tar.zst"
)
mocker.patch(
"arkindex_worker.worker.base.BaseWorker.find_extras_directory",
return_value=tmp_path,
)
expected_results = [
{
"id": "artifact_1",
"size": 42,
"content_type": "application/zstd",
"s3_put_url": None,
"created": "2000-01-01T00:00:00Z",
"updated": "2000-01-01T00:00:00Z",
},
{
"id": "artifact_2",
"path": "logs.log",
"size": 42,
"content_type": "text/plain",
"s3_put_url": None,
"created": "2000-01-01T00:00:00Z",
"updated": "2000-01-01T00:00:00Z",
},
]
responses.add(
responses.GET,
f"http://testserver/api/v1/task/{task_id}/artifacts/",
status=200,
json=expected_results,
)
responses.add(
responses.GET,
f"http://testserver/api/v1/task/{task_id}/artifact/dataset_id.tar.zst",
status=200,
body=archive_path.read_bytes(),
content_type="application/zstd",
)
archive = mock_dataset_worker.download_dataset_artifact(default_dataset)
assert archive == tmp_path / "dataset_id.tar.zst"
assert archive.read_bytes() == archive_path.read_bytes()
archive.unlink()
assert len(responses.calls) == len(BASE_API_CALLS) + 2
assert [
(call.request.method, call.request.url) for call in responses.calls
] == BASE_API_CALLS + [
("GET", f"http://testserver/api/v1/task/{task_id}/artifacts/"),
("GET", f"http://testserver/api/v1/task/{task_id}/artifact/dataset_id.tar.zst"),
def test_list_dataset_elements_per_split_api_error(
responses, mock_dataset_worker, default_dataset
):
responses.add(
responses.GET,
f"http://testserver/api/v1/datasets/{default_dataset.id}/elements/",
status=500,
)
with pytest.raises(
Exception, match="Stopping pagination as data will be incomplete"
):
mock_dataset_worker.list_dataset_elements_per_split(default_dataset)
assert len(responses.calls) == len(BASE_API_CALLS) + 5
assert [
(call.request.method, call.request.url) for call in responses.calls
] == BASE_API_CALLS + [
# The API call is retried 5 times
(
"GET",
f"http://testserver/api/v1/datasets/{default_dataset.id}/elements/?with_count=true",
),
(
"GET",
f"http://testserver/api/v1/datasets/{default_dataset.id}/elements/?with_count=true",
),
(
"GET",
f"http://testserver/api/v1/datasets/{default_dataset.id}/elements/?with_count=true",
),
(
"GET",
f"http://testserver/api/v1/datasets/{default_dataset.id}/elements/?with_count=true",
),
(
"GET",
f"http://testserver/api/v1/datasets/{default_dataset.id}/elements/?with_count=true",
),
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
]
def test_list_dataset_elements_per_split(
responses, mock_dataset_worker, default_dataset
):
expected_results = [
{
"set": "set_1",
"element": {
"id": "0000",
"type": "page",
"name": "Test",
"corpus": {},
"thumbnail_url": None,
"zone": {},
"best_classes": None,
"has_children": None,
"worker_version_id": None,
"worker_run_id": None,
},
},
{
"set": "set_1",
"element": {
"id": "1111",
"type": "page",
"name": "Test 2",
"corpus": {},
"thumbnail_url": None,
"zone": {},
"best_classes": None,
"has_children": None,
"worker_version_id": None,
"worker_run_id": None,
},
},
{
"set": "set_2",
"element": {
"id": "2222",
"type": "page",
"name": "Test 3",
"corpus": {},
"thumbnail_url": None,
"zone": {},
"best_classes": None,
"has_children": None,
"worker_version_id": None,
"worker_run_id": None,
},
},
{
"set": "set_3",
"element": {
"id": "3333",
"type": "page",
"name": "Test 4",
"corpus": {},
"thumbnail_url": None,
"zone": {},
"best_classes": None,
"has_children": None,
"worker_version_id": None,
"worker_run_id": None,
},
},
]
responses.add(
responses.GET,
f"http://testserver/api/v1/datasets/{default_dataset.id}/elements/",
status=200,
json={
"count": 4,
"next": None,
"results": expected_results,
},
)
assert list(
mock_dataset_worker.list_dataset_elements_per_split(default_dataset)
) == [
("set_1", [expected_results[0]["element"], expected_results[1]["element"]]),
("set_2", [expected_results[2]["element"]]),
("set_3", [expected_results[3]["element"]]),
]
assert len(responses.calls) == len(BASE_API_CALLS) + 1
assert [
(call.request.method, call.request.url) for call in responses.calls
] == BASE_API_CALLS + [
(
"GET",
f"http://testserver/api/v1/datasets/{default_dataset.id}/elements/?with_count=true",
),
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
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
]
def test_list_datasets_read_only(mock_dev_dataset_worker):
assert list(mock_dev_dataset_worker.list_datasets()) == [
"11111111-1111-1111-1111-111111111111",
"22222222-2222-2222-2222-222222222222",
]
def test_list_datasets_api_error(responses, mock_dataset_worker):
responses.add(
responses.GET,
f"http://testserver/api/v1/process/{PROCESS_ID}/datasets/",
status=500,
)
with pytest.raises(
Exception, match="Stopping pagination as data will be incomplete"
):
mock_dataset_worker.list_datasets()
assert len(responses.calls) == len(BASE_API_CALLS) + 5
assert [
(call.request.method, call.request.url) for call in responses.calls
] == BASE_API_CALLS + [
# The API call is retried 5 times
("GET", f"http://testserver/api/v1/process/{PROCESS_ID}/datasets/"),
("GET", f"http://testserver/api/v1/process/{PROCESS_ID}/datasets/"),
("GET", f"http://testserver/api/v1/process/{PROCESS_ID}/datasets/"),
("GET", f"http://testserver/api/v1/process/{PROCESS_ID}/datasets/"),
("GET", f"http://testserver/api/v1/process/{PROCESS_ID}/datasets/"),
]
def test_list_datasets(responses, mock_dataset_worker):
expected_results = [
{
"id": "dataset_1",
"name": "Dataset 1",
"description": "My first great dataset",
"sets": ["train", "val", "test"],
"state": "open",
"corpus_id": "corpus_id",
"creator": "test@teklia.com",
"task_id": "task_id_1",
},
{
"id": "dataset_2",
"name": "Dataset 2",
"description": "My second great dataset",
"sets": ["train", "val"],
"state": "complete",
"corpus_id": "corpus_id",
"creator": "test@teklia.com",
"task_id": "task_id_2",
},
{
"id": "dataset_3",
"name": "Dataset 3 (TRASHME)",
"description": "My third dataset, in error",
"sets": ["nonsense", "random set"],
"state": "error",
"corpus_id": "corpus_id",
"creator": "test@teklia.com",
"task_id": "task_id_3",
},
]
responses.add(
responses.GET,
f"http://testserver/api/v1/process/{PROCESS_ID}/datasets/",
status=200,
json={
"count": 3,
"next": None,
"results": expected_results,
},
)
assert list(mock_dataset_worker.list_datasets()) == expected_results
assert len(responses.calls) == len(BASE_API_CALLS) + 1
assert [
(call.request.method, call.request.url) for call in responses.calls
] == BASE_API_CALLS + [
("GET", f"http://testserver/api/v1/process/{PROCESS_ID}/datasets/"),
]
@pytest.mark.parametrize("generator", [True, False])
def test_run_no_datasets(mocker, caplog, mock_dataset_worker, generator):
mocker.patch("arkindex_worker.worker.DatasetWorker.list_datasets", return_value=[])
mock_dataset_worker.generator = generator
with pytest.raises(SystemExit):
mock_dataset_worker.run()
assert [(level, message) for _, level, message in caplog.record_tuples] == [
(logging.INFO, "Loaded Worker Fake worker @ 123412 from API"),
(logging.WARNING, "No datasets to process, stopping."),
]
@pytest.mark.parametrize(
(True, "When generating a new dataset, its state should be Open or Error."),
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
(False, "When processing an existing dataset, its state should be Complete."),
],
)
def test_run_initial_dataset_state_error(
mocker, responses, caplog, mock_dataset_worker, default_dataset, generator, error
):
default_dataset.state = DatasetState.Building.value
mocker.patch(
"arkindex_worker.worker.DatasetWorker.list_datasets",
return_value=[default_dataset],
)
mock_dataset_worker.generator = generator
extra_call = []
if generator:
responses.add(
responses.PATCH,
f"http://testserver/api/v1/datasets/{default_dataset.id}/",
status=200,
json={},
)
extra_call = [
("PATCH", f"http://testserver/api/v1/datasets/{default_dataset.id}/"),
]
with pytest.raises(SystemExit):
mock_dataset_worker.run()
assert len(responses.calls) == len(BASE_API_CALLS) * 2 + len(extra_call)
assert [
(call.request.method, call.request.url) for call in responses.calls
] == BASE_API_CALLS * 2 + extra_call
assert [(level, message) for _, level, message in caplog.record_tuples] == [
(logging.INFO, "Loaded Worker Fake worker @ 123412 from API"),
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
(
logging.WARNING,
f"Failed running worker on dataset dataset_id: AssertionError('{error}')",
),
(
logging.ERROR,
"Ran on 1 datasets: 0 completed, 1 failed",
),
]
def test_run_update_dataset_state_api_error(
mocker, responses, caplog, mock_dataset_worker, default_dataset
):
mocker.patch(
"arkindex_worker.worker.DatasetWorker.list_datasets",
return_value=[default_dataset],
)
mock_dataset_worker.generator = True
responses.add(
responses.PATCH,
f"http://testserver/api/v1/datasets/{default_dataset.id}/",
status=500,
)
with pytest.raises(SystemExit):
mock_dataset_worker.run()
assert len(responses.calls) == len(BASE_API_CALLS) * 2 + 10
assert [
(call.request.method, call.request.url) for call in responses.calls
] == BASE_API_CALLS * 2 + [
# We retry 5 times the API call to update the Dataset as Building
("PATCH", f"http://testserver/api/v1/datasets/{default_dataset.id}/"),
("PATCH", f"http://testserver/api/v1/datasets/{default_dataset.id}/"),
("PATCH", f"http://testserver/api/v1/datasets/{default_dataset.id}/"),
("PATCH", f"http://testserver/api/v1/datasets/{default_dataset.id}/"),
("PATCH", f"http://testserver/api/v1/datasets/{default_dataset.id}/"),
# We retry 5 times the API call to update the Dataset as in Error
("PATCH", f"http://testserver/api/v1/datasets/{default_dataset.id}/"),
("PATCH", f"http://testserver/api/v1/datasets/{default_dataset.id}/"),
("PATCH", f"http://testserver/api/v1/datasets/{default_dataset.id}/"),
("PATCH", f"http://testserver/api/v1/datasets/{default_dataset.id}/"),
("PATCH", f"http://testserver/api/v1/datasets/{default_dataset.id}/"),
]
retries = [3.0, 4.0, 8.0, 16.0]
assert [(level, message) for _, level, message in caplog.record_tuples] == [
(logging.INFO, "Loaded Worker Fake worker @ 123412 from API"),
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
(logging.INFO, "Processing Dataset (dataset_id) (1/1)"),
(logging.INFO, "Building Dataset (dataset_id) (1/1)"),
*[
(
logging.INFO,
f"Retrying arkindex_worker.worker.base.BaseWorker.request in {retry} seconds as it raised ErrorResponse: .",
)
for retry in retries
],
(
logging.WARNING,
"An API error occurred while processing dataset dataset_id: 500 Internal Server Error - None",
),
*[
(
logging.INFO,
f"Retrying arkindex_worker.worker.base.BaseWorker.request in {retry} seconds as it raised ErrorResponse: .",
)
for retry in retries
],
(
logging.ERROR,
"Ran on 1 datasets: 0 completed, 1 failed",
),
]
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
def test_run_download_dataset_artifact_api_error(
mocker,
tmp_path,
responses,
caplog,
mock_dataset_worker,
default_dataset,
):
default_dataset.state = DatasetState.Complete.value
mocker.patch(
"arkindex_worker.worker.DatasetWorker.list_datasets",
return_value=[default_dataset],
)
mocker.patch(
"arkindex_worker.worker.base.BaseWorker.find_extras_directory",
return_value=tmp_path,
)
responses.add(
responses.GET,
f"http://testserver/api/v1/task/{default_dataset.task_id}/artifacts/",
status=500,
)
with pytest.raises(SystemExit):
mock_dataset_worker.run()
assert len(responses.calls) == len(BASE_API_CALLS) * 2 + 5
assert [
(call.request.method, call.request.url) for call in responses.calls
] == BASE_API_CALLS * 2 + [
# We retry 5 times the API call
("GET", f"http://testserver/api/v1/task/{default_dataset.task_id}/artifacts/"),
("GET", f"http://testserver/api/v1/task/{default_dataset.task_id}/artifacts/"),
("GET", f"http://testserver/api/v1/task/{default_dataset.task_id}/artifacts/"),
("GET", f"http://testserver/api/v1/task/{default_dataset.task_id}/artifacts/"),
("GET", f"http://testserver/api/v1/task/{default_dataset.task_id}/artifacts/"),
]
assert [(level, message) for _, level, message in caplog.record_tuples] == [
(logging.INFO, "Loaded Worker Fake worker @ 123412 from API"),
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
(logging.INFO, "Processing Dataset (dataset_id) (1/1)"),
(logging.INFO, "Downloading data for Dataset (dataset_id) (1/1)"),
*[
(
logging.INFO,
f"Retrying arkindex_worker.worker.base.BaseWorker.request in {retry} seconds as it raised ErrorResponse: .",
)
for retry in [3.0, 4.0, 8.0, 16.0]
],
(
logging.WARNING,
"An API error occurred while processing dataset dataset_id: 500 Internal Server Error - None",
),
(
logging.ERROR,
"Ran on 1 datasets: 0 completed, 1 failed",
),
]
def test_run_no_downloaded_artifact_error(
mocker,
tmp_path,
responses,
caplog,
mock_dataset_worker,
default_dataset,
):
default_dataset.state = DatasetState.Complete.value
mocker.patch(
"arkindex_worker.worker.DatasetWorker.list_datasets",
return_value=[default_dataset],
)
mocker.patch(
"arkindex_worker.worker.base.BaseWorker.find_extras_directory",
return_value=tmp_path,
)
responses.add(
responses.GET,
f"http://testserver/api/v1/task/{default_dataset.task_id}/artifacts/",
status=200,
json={},
)
with pytest.raises(SystemExit):
mock_dataset_worker.run()
assert len(responses.calls) == len(BASE_API_CALLS) * 2 + 1
assert [
(call.request.method, call.request.url) for call in responses.calls
] == BASE_API_CALLS * 2 + [
("GET", f"http://testserver/api/v1/task/{default_dataset.task_id}/artifacts/"),
]
assert [(level, message) for _, level, message in caplog.record_tuples] == [
(logging.INFO, "Loaded Worker Fake worker @ 123412 from API"),
(logging.INFO, "Processing Dataset (dataset_id) (1/1)"),
(logging.INFO, "Downloading data for Dataset (dataset_id) (1/1)"),
(
logging.WARNING,
"Failed running worker on dataset dataset_id: MissingDatasetArchive('The dataset compressed archive artifact was not found.')",
),
(
logging.ERROR,
"Ran on 1 datasets: 0 completed, 1 failed",
),
]
("generator", "state"), [(True, DatasetState.Open), (False, DatasetState.Complete)]
mocker,
tmp_path,
responses,
caplog,
mock_dataset_worker,
default_dataset,
default_artifact,
generator,
state,
):
mock_dataset_worker.generator = generator
default_dataset.state = state.value
mocker.patch(
"arkindex_worker.worker.DatasetWorker.list_datasets",
return_value=[default_dataset],
)
mocker.patch(
"arkindex_worker.worker.base.BaseWorker.find_extras_directory",
return_value=tmp_path,
)
mock_process = mocker.patch("arkindex_worker.worker.DatasetWorker.process_dataset")
extra_calls = []
extra_logs = []
if generator:
responses.add(
responses.PATCH,
f"http://testserver/api/v1/datasets/{default_dataset.id}/",
status=200,
json={},
)
extra_calls += [
("PATCH", f"http://testserver/api/v1/datasets/{default_dataset.id}/"),
] * 2
extra_logs += [
(logging.INFO, "Building Dataset (dataset_id) (1/1)"),
(logging.INFO, "Completed Dataset (dataset_id) (1/1)"),
]
else:
archive_path = (
FIXTURES_DIR
/ "extract_parent_archives"
/ "first_parent"
)
responses.add(
responses.GET,
f"http://testserver/api/v1/task/{default_dataset.task_id}/artifacts/",
status=200,
json=[default_artifact],
)
responses.add(
responses.GET,
f"http://testserver/api/v1/task/{default_dataset.task_id}/artifact/dataset_id.tar.zst",
status=200,
body=archive_path.read_bytes(),
content_type="application/zstd",
)
extra_calls += [
(
"GET",
f"http://testserver/api/v1/task/{default_dataset.task_id}/artifacts/",
),
(
"GET",
f"http://testserver/api/v1/task/{default_dataset.task_id}/artifact/dataset_id.tar.zst",
),
]
extra_logs += [
(logging.INFO, "Downloading data for Dataset (dataset_id) (1/1)"),
]
mock_dataset_worker.run()
assert mock_process.call_count == 1
assert len(responses.calls) == len(BASE_API_CALLS) * 2 + len(extra_calls)
assert [
(call.request.method, call.request.url) for call in responses.calls
] == BASE_API_CALLS * 2 + extra_calls
assert [(level, message) for _, level, message in caplog.record_tuples] == [
(logging.INFO, "Loaded Worker Fake worker @ 123412 from API"),
(logging.INFO, "Processing Dataset (dataset_id) (1/1)"),
] + extra_logs
@pytest.mark.parametrize(
("generator", "state"), [(True, DatasetState.Open), (False, DatasetState.Complete)]
responses,
caplog,
mock_dev_dataset_worker,
default_dataset,
default_artifact,
generator,
state,
):
mock_dev_dataset_worker.generator = generator
default_dataset.state = state.value
mocker.patch(
"arkindex_worker.worker.DatasetWorker.list_datasets",
return_value=[default_dataset.id],
)
mocker.patch(
"arkindex_worker.worker.base.BaseWorker.find_extras_directory",
return_value=tmp_path,
)
mock_process = mocker.patch("arkindex_worker.worker.DatasetWorker.process_dataset")
responses.add(
responses.GET,
f"http://testserver/api/v1/datasets/{default_dataset.id}/",
status=200,
json=default_dataset,
)
extra_calls = []
extra_logs += [
(logging.INFO, "Building Dataset (dataset_id) (1/1)"),
(
logging.WARNING,
"Cannot update dataset as this worker is in read-only mode",
),
(logging.INFO, "Completed Dataset (dataset_id) (1/1)"),
(
logging.WARNING,
"Cannot update dataset as this worker is in read-only mode",
),
]
else:
archive_path = (
FIXTURES_DIR
/ "extract_parent_archives"
/ "first_parent"
)
responses.add(
responses.GET,
f"http://testserver/api/v1/task/{default_dataset.task_id}/artifacts/",
status=200,
json=[default_artifact],
)
responses.add(
responses.GET,
f"http://testserver/api/v1/task/{default_dataset.task_id}/artifact/dataset_id.tar.zst",
status=200,
body=archive_path.read_bytes(),
content_type="application/zstd",
)
extra_calls += [
(
"GET",
f"http://testserver/api/v1/task/{default_dataset.task_id}/artifacts/",
),
(
"GET",
f"http://testserver/api/v1/task/{default_dataset.task_id}/artifact/dataset_id.tar.zst",
),
]
extra_logs += [
(logging.INFO, "Downloading data for Dataset (dataset_id) (1/1)"),
]
mock_dev_dataset_worker.run()
assert mock_process.call_count == 1
assert len(responses.calls) == 1 + len(extra_calls)
assert [(call.request.method, call.request.url) for call in responses.calls] == [
("GET", f"http://testserver/api/v1/datasets/{default_dataset.id}/")
] + extra_calls
assert [(level, message) for _, level, message in caplog.record_tuples] == [
(logging.WARNING, "Running without any extra configuration"),
(logging.INFO, "Processing Dataset (dataset_id) (1/1)"),
] + extra_logs