-
Notifications
You must be signed in to change notification settings - Fork 14.2k
/
test_scheduler_job.py
2985 lines (2454 loc) · 112 KB
/
test_scheduler_job.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
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
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
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
468
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
518
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
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
587
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
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you 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
#
# http://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.
#
import datetime
import os
import shutil
import unittest
from datetime import timedelta
from tempfile import mkdtemp
import mock
import psutil
import pytest
import six
from mock import MagicMock, Mock, patch
from parameterized import parameterized
import airflow.example_dags
from airflow import settings
from airflow.configuration import conf
from airflow.exceptions import AirflowException
from airflow.executors.base_executor import BaseExecutor
from airflow.jobs.backfill_job import BackfillJob
from airflow.jobs.scheduler_job import DagFileProcessor, SchedulerJob
from airflow.models import DAG, DagBag, DagModel, Pool, SlaMiss, TaskInstance, errors
from airflow.models.dagrun import DagRun
from airflow.models.taskinstance import SimpleTaskInstance
from airflow.operators.bash import BashOperator
from airflow.operators.dummy_operator import DummyOperator
from airflow.utils import timezone
from airflow.utils.dag_processing import SimpleDag, SimpleDagBag
from airflow.utils.dates import days_ago
from airflow.utils.file import list_py_file_paths
from airflow.utils.session import create_session, provide_session
from airflow.utils.state import State
from airflow.utils.types import DagRunType
from tests.test_utils.db import (
clear_db_dags, clear_db_errors, clear_db_pools, clear_db_runs, clear_db_sla_miss, set_default_pool_slots,
)
from tests.test_utils.mock_executor import MockExecutor
TEST_DAG_FOLDER = os.environ['AIRFLOW__CORE__DAGS_FOLDER']
DEFAULT_DATE = timezone.datetime(2016, 1, 1)
TRY_NUMBER = 1
# Include the words "airflow" and "dag" in the file contents,
# tricking airflow into thinking these
# files contain a DAG (otherwise Airflow will skip them)
PARSEABLE_DAG_FILE_CONTENTS = '"airflow DAG"'
UNPARSEABLE_DAG_FILE_CONTENTS = 'airflow DAG'
# Filename to be used for dags that are created in an ad-hoc manner and can be removed/
# created at runtime
TEMP_DAG_FILENAME = "temp_dag.py"
class TestDagFileProcessor(unittest.TestCase):
def setUp(self):
clear_db_runs()
clear_db_pools()
clear_db_dags()
clear_db_sla_miss()
clear_db_errors()
# Speed up some tests by not running the tasks, just look at what we
# enqueue!
self.null_exec = MockExecutor()
def create_test_dag(self, start_date=DEFAULT_DATE, end_date=DEFAULT_DATE + timedelta(hours=1), **kwargs):
dag = DAG(
dag_id='test_scheduler_reschedule',
start_date=start_date,
# Make sure it only creates a single DAG Run
end_date=end_date)
dag.clear()
dag.is_subdag = False
with create_session() as session:
orm_dag = DagModel(dag_id=dag.dag_id)
orm_dag.is_paused = False
session.merge(orm_dag)
session.commit()
return dag
@classmethod
def setUpClass(cls):
cls.dagbag = DagBag()
cls.old_val = None
if conf.has_option('core', 'load_examples'):
cls.old_val = conf.get('core', 'load_examples')
conf.set('core', 'load_examples', 'false')
@classmethod
def tearDownClass(cls):
if cls.old_val is not None:
conf.set('core', 'load_examples', cls.old_val)
else:
conf.remove_option('core', 'load_examples')
def test_dag_file_processor_sla_miss_callback(self):
"""
Test that the dag file processor calls the sla miss callback
"""
session = settings.Session()
sla_callback = MagicMock()
# Create dag with a start of 1 day ago, but an sla of 0
# so we'll already have an sla_miss on the books.
test_start_date = days_ago(1)
dag = DAG(dag_id='test_sla_miss',
sla_miss_callback=sla_callback,
default_args={'start_date': test_start_date,
'sla': datetime.timedelta()})
task = DummyOperator(task_id='dummy',
dag=dag,
owner='airflow')
session.merge(TaskInstance(task=task, execution_date=test_start_date, state='success'))
session.merge(SlaMiss(task_id='dummy', dag_id='test_sla_miss', execution_date=test_start_date))
dag_file_processor = DagFileProcessor(dag_ids=[], log=mock.MagicMock())
dag_file_processor.manage_slas(dag=dag, session=session)
assert sla_callback.called
def test_dag_file_processor_sla_miss_callback_invalid_sla(self):
"""
Test that the dag file processor does not call the sla miss callback when
given an invalid sla
"""
session = settings.Session()
sla_callback = MagicMock()
# Create dag with a start of 1 day ago, but an sla of 0
# so we'll already have an sla_miss on the books.
# Pass anything besides a timedelta object to the sla argument.
test_start_date = days_ago(1)
dag = DAG(dag_id='test_sla_miss',
sla_miss_callback=sla_callback,
default_args={'start_date': test_start_date,
'sla': None})
task = DummyOperator(task_id='dummy', dag=dag, owner='airflow')
session.merge(TaskInstance(task=task, execution_date=test_start_date, state='success'))
session.merge(SlaMiss(task_id='dummy', dag_id='test_sla_miss', execution_date=test_start_date))
dag_file_processor = DagFileProcessor(dag_ids=[], log=mock.MagicMock())
dag_file_processor.manage_slas(dag=dag, session=session)
sla_callback.assert_not_called()
def test_scheduler_executor_overflow(self):
"""
Test that tasks that are set back to scheduled and removed from the executor
queue in the case of an overflow.
"""
executor = MockExecutor(do_update=True, parallelism=3)
with create_session() as session:
dagbag = DagBag(dag_folder=os.path.join(settings.DAGS_FOLDER, "no_dags.py"))
dag = self.create_test_dag()
dagbag.bag_dag(dag=dag, root_dag=dag, parent_dag=dag)
dag = self.create_test_dag()
task = DummyOperator(
task_id='dummy',
dag=dag,
owner='airflow')
tis = []
for i in range(1, 10):
ti = TaskInstance(task, DEFAULT_DATE + timedelta(days=i))
ti.state = State.SCHEDULED
tis.append(ti)
session.merge(ti)
# scheduler._process_dags(simple_dag_bag)
@mock.patch('airflow.models.DagBag', return_value=dagbag)
@mock.patch('airflow.models.DagBag.collect_dags')
@mock.patch('airflow.jobs.scheduler_job.SchedulerJob._change_state_for_tis_without_dagrun')
def do_schedule(mock_dagbag, mock_collect_dags, mock_change_state):
# Use a empty file since the above mock will return the
# expected DAGs. Also specify only a single file so that it doesn't
# try to schedule the above DAG repeatedly.
scheduler = SchedulerJob(num_runs=1,
executor=executor,
subdir=os.path.join(settings.DAGS_FOLDER,
"no_dags.py"))
scheduler.heartrate = 0
scheduler.run()
do_schedule() # pylint: disable=no-value-for-parameter
for ti in tis:
ti.refresh_from_db()
self.assertEqual(len(executor.queued_tasks), 0)
successful_tasks = [ti for ti in tis if ti.state == State.SUCCESS]
scheduled_tasks = [ti for ti in tis if ti.state == State.SCHEDULED]
self.assertEqual(3, len(successful_tasks))
self.assertEqual(6, len(scheduled_tasks))
def test_dag_file_processor_sla_miss_callback_sent_notification(self):
"""
Test that the dag file processor does not call the sla_miss_callback when a
notification has already been sent
"""
session = settings.Session()
# Mock the callback function so we can verify that it was not called
sla_callback = MagicMock()
# Create dag with a start of 2 days ago, but an sla of 1 day
# ago so we'll already have an sla_miss on the books
test_start_date = days_ago(2)
dag = DAG(dag_id='test_sla_miss',
sla_miss_callback=sla_callback,
default_args={'start_date': test_start_date,
'sla': datetime.timedelta(days=1)})
task = DummyOperator(task_id='dummy', dag=dag, owner='airflow')
# Create a TaskInstance for two days ago
session.merge(TaskInstance(task=task, execution_date=test_start_date, state='success'))
# Create an SlaMiss where notification was sent, but email was not
session.merge(SlaMiss(task_id='dummy',
dag_id='test_sla_miss',
execution_date=test_start_date,
email_sent=False,
notification_sent=True))
# Now call manage_slas and see if the sla_miss callback gets called
dag_file_processor = DagFileProcessor(dag_ids=[], log=mock.MagicMock())
dag_file_processor.manage_slas(dag=dag, session=session)
sla_callback.assert_not_called()
def test_dag_file_processor_sla_miss_callback_exception(self):
"""
Test that the dag file processor gracefully logs an exception if there is a problem
calling the sla_miss_callback
"""
session = settings.Session()
sla_callback = MagicMock(side_effect=RuntimeError('Could not call function'))
test_start_date = days_ago(2)
dag = DAG(dag_id='test_sla_miss',
sla_miss_callback=sla_callback,
default_args={'start_date': test_start_date})
task = DummyOperator(task_id='dummy',
dag=dag,
owner='airflow',
sla=datetime.timedelta(hours=1))
session.merge(TaskInstance(task=task, execution_date=test_start_date, state='Success'))
# Create an SlaMiss where notification was sent, but email was not
session.merge(SlaMiss(task_id='dummy',
dag_id='test_sla_miss',
execution_date=test_start_date))
# Now call manage_slas and see if the sla_miss callback gets called
mock_log = mock.MagicMock()
dag_file_processor = DagFileProcessor(dag_ids=[], log=mock_log)
dag_file_processor.manage_slas(dag=dag, session=session)
assert sla_callback.called
mock_log.exception.assert_called_once_with(
'Could not call sla_miss_callback for DAG %s',
'test_sla_miss')
@mock.patch('airflow.jobs.scheduler_job.send_email')
def test_dag_file_processor_only_collect_emails_from_sla_missed_tasks(self, mock_send_email):
session = settings.Session()
test_start_date = days_ago(2)
dag = DAG(dag_id='test_sla_miss',
default_args={'start_date': test_start_date,
'sla': datetime.timedelta(days=1)})
email1 = '[email protected]'
task = DummyOperator(task_id='sla_missed',
dag=dag,
owner='airflow',
email=email1,
sla=datetime.timedelta(hours=1))
session.merge(TaskInstance(task=task, execution_date=test_start_date, state='Success'))
email2 = '[email protected]'
DummyOperator(task_id='sla_not_missed',
dag=dag,
owner='airflow',
email=email2)
session.merge(SlaMiss(task_id='sla_missed', dag_id='test_sla_miss', execution_date=test_start_date))
dag_file_processor = DagFileProcessor(dag_ids=[], log=mock.MagicMock())
dag_file_processor.manage_slas(dag=dag, session=session)
self.assertTrue(len(mock_send_email.call_args_list), 1)
send_email_to = mock_send_email.call_args_list[0][0][0]
self.assertIn(email1, send_email_to)
self.assertNotIn(email2, send_email_to)
@mock.patch("airflow.utils.email.send_email")
def test_dag_file_processor_sla_miss_email_exception(self, mock_send_email):
"""
Test that the dag file processor gracefully logs an exception if there is a problem
sending an email
"""
session = settings.Session()
# Mock the callback function so we can verify that it was not called
mock_send_email.side_effect = RuntimeError('Could not send an email')
test_start_date = days_ago(2)
dag = DAG(dag_id='test_sla_miss',
default_args={'start_date': test_start_date,
'sla': datetime.timedelta(days=1)})
task = DummyOperator(task_id='dummy',
dag=dag,
owner='airflow',
email='[email protected]',
sla=datetime.timedelta(hours=1))
session.merge(TaskInstance(task=task, execution_date=test_start_date, state='Success'))
# Create an SlaMiss where notification was sent, but email was not
session.merge(SlaMiss(task_id='dummy', dag_id='test_sla_miss', execution_date=test_start_date))
mock_log = mock.MagicMock()
dag_file_processor = DagFileProcessor(dag_ids=[], log=mock_log)
dag_file_processor.manage_slas(dag=dag, session=session)
mock_log.exception.assert_called_once_with(
'Could not send SLA Miss email notification for DAG %s',
'test_sla_miss')
def test_dag_file_processor_sla_miss_deleted_task(self):
"""
Test that the dag file processor will not crash when trying to send
sla miss notification for a deleted task
"""
session = settings.Session()
test_start_date = days_ago(2)
dag = DAG(dag_id='test_sla_miss',
default_args={'start_date': test_start_date,
'sla': datetime.timedelta(days=1)})
task = DummyOperator(task_id='dummy',
dag=dag,
owner='airflow',
email='[email protected]',
sla=datetime.timedelta(hours=1))
session.merge(TaskInstance(task=task, execution_date=test_start_date, state='Success'))
# Create an SlaMiss where notification was sent, but email was not
session.merge(SlaMiss(task_id='dummy_deleted', dag_id='test_sla_miss',
execution_date=test_start_date))
mock_log = mock.MagicMock()
dag_file_processor = DagFileProcessor(dag_ids=[], log=mock_log)
dag_file_processor.manage_slas(dag=dag, session=session)
def test_dag_file_processor_dagrun_once(self):
"""
Test if the dag file proccessor does not create multiple dagruns
if a dag is scheduled with @once and a start_date
"""
dag = DAG(
'test_scheduler_dagrun_once',
start_date=timezone.datetime(2015, 1, 1),
schedule_interval="@once")
dag_file_processor = DagFileProcessor(dag_ids=[], log=mock.MagicMock())
dag.clear()
dr = dag_file_processor.create_dag_run(dag)
self.assertIsNotNone(dr)
dr = dag_file_processor.create_dag_run(dag)
self.assertIsNone(dr)
@parameterized.expand([
[State.NONE, None, None],
[State.UP_FOR_RETRY, timezone.utcnow() - datetime.timedelta(minutes=30),
timezone.utcnow() - datetime.timedelta(minutes=15)],
[State.UP_FOR_RESCHEDULE, timezone.utcnow() - datetime.timedelta(minutes=30),
timezone.utcnow() - datetime.timedelta(minutes=15)],
])
def test_dag_file_processor_process_task_instances(self, state, start_date, end_date):
"""
Test if _process_task_instances puts the right task instances into the
mock_list.
"""
dag = DAG(
dag_id='test_scheduler_process_execute_task',
start_date=DEFAULT_DATE)
dag_task1 = DummyOperator(
task_id='dummy',
dag=dag,
owner='airflow')
with create_session() as session:
orm_dag = DagModel(dag_id=dag.dag_id)
session.merge(orm_dag)
dag_file_processor = DagFileProcessor(dag_ids=[], log=mock.MagicMock())
dag.clear()
dr = dag_file_processor.create_dag_run(dag)
self.assertIsNotNone(dr)
with create_session() as session:
tis = dr.get_task_instances(session=session)
for ti in tis:
ti.state = state
ti.start_date = start_date
ti.end_date = end_date
mock_list = Mock()
dag_file_processor._process_task_instances(dag, task_instances_list=mock_list)
mock_list.append.assert_called_once_with(
(dag.dag_id, dag_task1.task_id, DEFAULT_DATE, TRY_NUMBER)
)
@parameterized.expand([
[State.NONE, None, None],
[State.UP_FOR_RETRY, timezone.utcnow() - datetime.timedelta(minutes=30),
timezone.utcnow() - datetime.timedelta(minutes=15)],
[State.UP_FOR_RESCHEDULE, timezone.utcnow() - datetime.timedelta(minutes=30),
timezone.utcnow() - datetime.timedelta(minutes=15)],
])
def test_dag_file_processor_process_task_instances_with_task_concurrency(
self, state, start_date, end_date,
):
"""
Test if _process_task_instances puts the right task instances into the
mock_list.
"""
dag = DAG(
dag_id='test_scheduler_process_execute_task_with_task_concurrency',
start_date=DEFAULT_DATE)
dag_task1 = DummyOperator(
task_id='dummy',
task_concurrency=2,
dag=dag,
owner='airflow')
with create_session() as session:
orm_dag = DagModel(dag_id=dag.dag_id)
session.merge(orm_dag)
dag_file_processor = DagFileProcessor(dag_ids=[], log=mock.MagicMock())
dag.clear()
dr = dag_file_processor.create_dag_run(dag)
self.assertIsNotNone(dr)
with create_session() as session:
tis = dr.get_task_instances(session=session)
for ti in tis:
ti.state = state
ti.start_date = start_date
ti.end_date = end_date
ti_to_schedule = []
dag_file_processor._process_task_instances(dag, task_instances_list=ti_to_schedule)
assert ti_to_schedule == [
(dag.dag_id, dag_task1.task_id, DEFAULT_DATE, TRY_NUMBER),
]
@parameterized.expand([
[State.NONE, None, None],
[State.UP_FOR_RETRY, timezone.utcnow() - datetime.timedelta(minutes=30),
timezone.utcnow() - datetime.timedelta(minutes=15)],
[State.UP_FOR_RESCHEDULE, timezone.utcnow() - datetime.timedelta(minutes=30),
timezone.utcnow() - datetime.timedelta(minutes=15)],
])
def test_dag_file_processor_process_task_instances_depends_on_past(self, state, start_date, end_date):
"""
Test if _process_task_instances puts the right task instances into the
mock_list.
"""
dag = DAG(
dag_id='test_scheduler_process_execute_task_depends_on_past',
start_date=DEFAULT_DATE,
default_args={
'depends_on_past': True,
},
)
dag_task1 = DummyOperator(
task_id='dummy1',
dag=dag,
owner='airflow')
dag_task2 = DummyOperator(
task_id='dummy2',
dag=dag,
owner='airflow')
with create_session() as session:
orm_dag = DagModel(dag_id=dag.dag_id)
session.merge(orm_dag)
dag_file_processor = DagFileProcessor(dag_ids=[], log=mock.MagicMock())
dag.clear()
dr = dag_file_processor.create_dag_run(dag)
self.assertIsNotNone(dr)
with create_session() as session:
tis = dr.get_task_instances(session=session)
for ti in tis:
ti.state = state
ti.start_date = start_date
ti.end_date = end_date
ti_to_schedule = []
dag_file_processor._process_task_instances(dag, task_instances_list=ti_to_schedule)
assert ti_to_schedule == [
(dag.dag_id, dag_task1.task_id, DEFAULT_DATE, TRY_NUMBER),
(dag.dag_id, dag_task2.task_id, DEFAULT_DATE, TRY_NUMBER),
]
def test_dag_file_processor_do_not_schedule_removed_task(self):
dag = DAG(
dag_id='test_scheduler_do_not_schedule_removed_task',
start_date=DEFAULT_DATE)
DummyOperator(
task_id='dummy',
dag=dag,
owner='airflow')
session = settings.Session()
orm_dag = DagModel(dag_id=dag.dag_id)
session.merge(orm_dag)
session.commit()
session.close()
dag_file_processor = DagFileProcessor(dag_ids=[], log=mock.MagicMock())
dag.clear()
dr = dag_file_processor.create_dag_run(dag)
self.assertIsNotNone(dr)
dag = DAG(
dag_id='test_scheduler_do_not_schedule_removed_task',
start_date=DEFAULT_DATE)
mock_list = Mock()
dag_file_processor._process_task_instances(dag, task_instances_list=mock_list)
mock_list.put.assert_not_called()
def test_dag_file_processor_do_not_schedule_too_early(self):
dag = DAG(
dag_id='test_scheduler_do_not_schedule_too_early',
start_date=timezone.datetime(2200, 1, 1))
DummyOperator(
task_id='dummy',
dag=dag,
owner='airflow')
session = settings.Session()
orm_dag = DagModel(dag_id=dag.dag_id)
session.merge(orm_dag)
session.commit()
session.close()
dag_file_processor = DagFileProcessor(dag_ids=[], log=mock.MagicMock())
dag.clear()
dr = dag_file_processor.create_dag_run(dag)
self.assertIsNone(dr)
mock_list = Mock()
dag_file_processor._process_task_instances(dag, task_instances_list=mock_list)
mock_list.put.assert_not_called()
def test_dag_file_processor_do_not_schedule_without_tasks(self):
dag = DAG(
dag_id='test_scheduler_do_not_schedule_without_tasks',
start_date=DEFAULT_DATE)
with create_session() as session:
orm_dag = DagModel(dag_id=dag.dag_id)
session.merge(orm_dag)
dag_file_processor = DagFileProcessor(dag_ids=[], log=mock.MagicMock())
dag.clear(session=session)
dag.start_date = None
dr = dag_file_processor.create_dag_run(dag, session=session)
self.assertIsNone(dr)
def test_dag_file_processor_do_not_run_finished(self):
dag = DAG(
dag_id='test_scheduler_do_not_run_finished',
start_date=DEFAULT_DATE)
DummyOperator(
task_id='dummy',
dag=dag,
owner='airflow')
session = settings.Session()
orm_dag = DagModel(dag_id=dag.dag_id)
session.merge(orm_dag)
session.commit()
dag_file_processor = DagFileProcessor(dag_ids=[], log=mock.MagicMock())
dag.clear()
dr = dag_file_processor.create_dag_run(dag)
self.assertIsNotNone(dr)
tis = dr.get_task_instances(session=session)
for ti in tis:
ti.state = State.SUCCESS
session.commit()
session.close()
mock_list = Mock()
dag_file_processor._process_task_instances(dag, task_instances_list=mock_list)
mock_list.put.assert_not_called()
def test_dag_file_processor_add_new_task(self):
"""
Test if a task instance will be added if the dag is updated
"""
dag = DAG(
dag_id='test_scheduler_add_new_task',
start_date=DEFAULT_DATE)
DummyOperator(
task_id='dummy',
dag=dag,
owner='airflow')
session = settings.Session()
orm_dag = DagModel(dag_id=dag.dag_id)
session.merge(orm_dag)
session.commit()
session.close()
dag_file_processor = DagFileProcessor(dag_ids=[], log=mock.MagicMock())
dag.clear()
dr = dag_file_processor.create_dag_run(dag)
self.assertIsNotNone(dr)
tis = dr.get_task_instances()
self.assertEqual(len(tis), 1)
DummyOperator(
task_id='dummy2',
dag=dag,
owner='airflow')
task_instances_list = Mock()
dag_file_processor._process_task_instances(dag, task_instances_list=task_instances_list)
tis = dr.get_task_instances()
self.assertEqual(len(tis), 2)
def test_dag_file_processor_verify_max_active_runs(self):
"""
Test if a a dagrun will not be scheduled if max_dag_runs has been reached
"""
dag = DAG(
dag_id='test_scheduler_verify_max_active_runs',
start_date=DEFAULT_DATE)
dag.max_active_runs = 1
DummyOperator(
task_id='dummy',
dag=dag,
owner='airflow')
session = settings.Session()
orm_dag = DagModel(dag_id=dag.dag_id)
session.merge(orm_dag)
session.commit()
session.close()
dag_file_processor = DagFileProcessor(dag_ids=[], log=mock.MagicMock())
dag.clear()
dr = dag_file_processor.create_dag_run(dag)
self.assertIsNotNone(dr)
dr = dag_file_processor.create_dag_run(dag)
self.assertIsNone(dr)
def test_dag_file_processor_fail_dagrun_timeout(self):
"""
Test if a a dagrun wil be set failed if timeout
"""
dag = DAG(
dag_id='test_scheduler_fail_dagrun_timeout',
start_date=DEFAULT_DATE)
dag.dagrun_timeout = datetime.timedelta(seconds=60)
DummyOperator(
task_id='dummy',
dag=dag,
owner='airflow')
session = settings.Session()
orm_dag = DagModel(dag_id=dag.dag_id)
session.merge(orm_dag)
session.commit()
dag_file_processor = DagFileProcessor(dag_ids=[], log=mock.MagicMock())
dag.clear()
dr = dag_file_processor.create_dag_run(dag)
self.assertIsNotNone(dr)
dr.start_date = timezone.utcnow() - datetime.timedelta(days=1)
session.merge(dr)
session.commit()
dr2 = dag_file_processor.create_dag_run(dag)
self.assertIsNotNone(dr2)
dr.refresh_from_db(session=session)
self.assertEqual(dr.state, State.FAILED)
def test_dag_file_processor_verify_max_active_runs_and_dagrun_timeout(self):
"""
Test if a a dagrun will not be scheduled if max_dag_runs
has been reached and dagrun_timeout is not reached
Test if a a dagrun will be scheduled if max_dag_runs has
been reached but dagrun_timeout is also reached
"""
dag = DAG(
dag_id='test_scheduler_verify_max_active_runs_and_dagrun_timeout',
start_date=DEFAULT_DATE)
dag.max_active_runs = 1
dag.dagrun_timeout = datetime.timedelta(seconds=60)
DummyOperator(
task_id='dummy',
dag=dag,
owner='airflow')
session = settings.Session()
orm_dag = DagModel(dag_id=dag.dag_id)
session.merge(orm_dag)
session.commit()
session.close()
dag_file_processor = DagFileProcessor(dag_ids=[], log=mock.MagicMock())
dag.clear()
dr = dag_file_processor.create_dag_run(dag)
self.assertIsNotNone(dr)
# Should not be scheduled as DagRun has not timedout and max_active_runs is reached
new_dr = dag_file_processor.create_dag_run(dag)
self.assertIsNone(new_dr)
# Should be scheduled as dagrun_timeout has passed
dr.start_date = timezone.utcnow() - datetime.timedelta(days=1)
session.merge(dr)
session.commit()
new_dr = dag_file_processor.create_dag_run(dag)
self.assertIsNotNone(new_dr)
def test_dag_file_processor_max_active_runs_respected_after_clear(self):
"""
Test if _process_task_instances only schedules ti's up to max_active_runs
(related to issue AIRFLOW-137)
"""
dag = DAG(
dag_id='test_scheduler_max_active_runs_respected_after_clear',
start_date=DEFAULT_DATE)
dag.max_active_runs = 3
dag_task1 = DummyOperator(
task_id='dummy',
dag=dag,
owner='airflow')
session = settings.Session()
orm_dag = DagModel(dag_id=dag.dag_id)
session.merge(orm_dag)
session.commit()
session.close()
dag_file_processor = DagFileProcessor(dag_ids=[], log=mock.MagicMock())
dag.clear()
# First create up to 3 dagruns in RUNNING state.
assert dag_file_processor.create_dag_run(dag) is not None
assert dag_file_processor.create_dag_run(dag) is not None
assert dag_file_processor.create_dag_run(dag) is not None
assert len(DagRun.find(dag_id=dag.dag_id, state=State.RUNNING, session=session)) == 3
# Reduce max_active_runs to 1
dag.max_active_runs = 1
task_instances_list = Mock()
# and schedule them in, so we can check how many
# tasks are put on the task_instances_list (should be one, not 3)
dag_file_processor._process_task_instances(dag, task_instances_list=task_instances_list)
task_instances_list.append.assert_called_once_with(
(dag.dag_id, dag_task1.task_id, DEFAULT_DATE, TRY_NUMBER)
)
def test_find_dags_to_run_includes_subdags(self):
dag = self.dagbag.get_dag('test_subdag_operator')
print(self.dagbag.dag_ids)
print(self.dagbag.dag_folder)
self.assertGreater(len(dag.subdags), 0)
dag_file_processor = DagFileProcessor(dag_ids=[], log=mock.MagicMock())
dags = dag_file_processor._find_dags_to_process(self.dagbag.dags.values(), paused_dag_ids=())
self.assertIn(dag, dags)
for subdag in dag.subdags:
self.assertIn(subdag, dags)
def test_find_dags_to_run_skip_paused_dags(self):
dagbag = DagBag(include_examples=False)
dag = dagbag.get_dag('test_subdag_operator')
dag_file_processor = DagFileProcessor(dag_ids=[], log=mock.MagicMock())
dags = dag_file_processor._find_dags_to_process(dagbag.dags.values(), paused_dag_ids=[dag.dag_id])
self.assertNotIn(dag, dags)
def test_dag_catchup_option(self):
"""
Test to check that a DAG with catchup = False only schedules beginning now, not back to the start date
"""
def setup_dag(dag_id, schedule_interval, start_date, catchup):
default_args = {
'owner': 'airflow',
'depends_on_past': False,
'start_date': start_date
}
dag = DAG(dag_id,
schedule_interval=schedule_interval,
max_active_runs=1,
catchup=catchup,
default_args=default_args)
op1 = DummyOperator(task_id='t1', dag=dag)
op2 = DummyOperator(task_id='t2', dag=dag)
op2.set_upstream(op1)
op3 = DummyOperator(task_id='t3', dag=dag)
op3.set_upstream(op2)
session = settings.Session()
orm_dag = DagModel(dag_id=dag.dag_id)
session.merge(orm_dag)
session.commit()
session.close()
return dag
now = timezone.utcnow()
six_hours_ago_to_the_hour = (now - datetime.timedelta(hours=6)).replace(
minute=0, second=0, microsecond=0)
half_an_hour_ago = now - datetime.timedelta(minutes=30)
two_hours_ago = now - datetime.timedelta(hours=2)
dag_file_processor = DagFileProcessor(dag_ids=[], log=mock.MagicMock())
dag1 = setup_dag(dag_id='dag_with_catchup',
schedule_interval='* * * * *',
start_date=six_hours_ago_to_the_hour,
catchup=True)
default_catchup = conf.getboolean('scheduler', 'catchup_by_default')
self.assertEqual(default_catchup, True)
self.assertEqual(dag1.catchup, True)
dag2 = setup_dag(dag_id='dag_without_catchup_ten_minute',
schedule_interval='*/10 * * * *',
start_date=six_hours_ago_to_the_hour,
catchup=False)
dr = dag_file_processor.create_dag_run(dag2)
# We had better get a dag run
self.assertIsNotNone(dr)
# The DR should be scheduled in the last half an hour, not 6 hours ago
self.assertGreater(dr.execution_date, half_an_hour_ago)
# The DR should be scheduled BEFORE now
self.assertLess(dr.execution_date, timezone.utcnow())
dag3 = setup_dag(dag_id='dag_without_catchup_hourly',
schedule_interval='@hourly',
start_date=six_hours_ago_to_the_hour,
catchup=False)
dr = dag_file_processor.create_dag_run(dag3)
# We had better get a dag run
self.assertIsNotNone(dr)
# The DR should be scheduled in the last 2 hours, not 6 hours ago
self.assertGreater(dr.execution_date, two_hours_ago)
# The DR should be scheduled BEFORE now
self.assertLess(dr.execution_date, timezone.utcnow())
dag4 = setup_dag(dag_id='dag_without_catchup_once',
schedule_interval='@once',
start_date=six_hours_ago_to_the_hour,
catchup=False)
dr = dag_file_processor.create_dag_run(dag4)
self.assertIsNotNone(dr)
def test_dag_file_processor_auto_align(self):
"""
Test if the schedule_interval will be auto aligned with the start_date
such that if the start_date coincides with the schedule the first
execution_date will be start_date, otherwise it will be start_date +
interval.
"""
dag = DAG(
dag_id='test_scheduler_auto_align_1',
start_date=timezone.datetime(2016, 1, 1, 10, 10, 0),
schedule_interval="4 5 * * *"
)
DummyOperator(
task_id='dummy',
dag=dag,
owner='airflow')
session = settings.Session()
orm_dag = DagModel(dag_id=dag.dag_id)
session.merge(orm_dag)
session.commit()
dag_file_processor = DagFileProcessor(dag_ids=[], log=mock.MagicMock())
dr = dag_file_processor.create_dag_run(dag)
self.assertIsNotNone(dr)
self.assertEqual(dr.execution_date, timezone.datetime(2016, 1, 2, 5, 4))
dag = DAG(
dag_id='test_scheduler_auto_align_2',
start_date=timezone.datetime(2016, 1, 1, 10, 10, 0),
schedule_interval="10 10 * * *"
)
DummyOperator(
task_id='dummy',
dag=dag,
owner='airflow')
session = settings.Session()
orm_dag = DagModel(dag_id=dag.dag_id)
session.merge(orm_dag)
session.commit()
dag.clear()
dr = dag_file_processor.create_dag_run(dag)
self.assertIsNotNone(dr)
self.assertEqual(dr.execution_date, timezone.datetime(2016, 1, 1, 10, 10))
def test_process_dags_not_create_dagrun_for_subdags(self):
dag = self.dagbag.get_dag('test_subdag_operator')
scheduler = DagFileProcessor(dag_ids=[dag.dag_id], log=mock.MagicMock())
scheduler._process_task_instances = mock.MagicMock()
scheduler.manage_slas = mock.MagicMock()
scheduler._process_dags([dag] + dag.subdags, [])
with create_session() as session:
sub_dagruns = (
session.query(DagRun).filter(DagRun.dag_id == dag.subdags[0].dag_id).count()
)
self.assertEqual(0, sub_dagruns)
parent_dagruns = (
session.query(DagRun).filter(DagRun.dag_id == dag.dag_id).count()