-
Notifications
You must be signed in to change notification settings - Fork 2.4k
/
aiplatform_v1.projects.locations.pipelineJobs.html
1195 lines (1139 loc) 路 130 KB
/
aiplatform_v1.projects.locations.pipelineJobs.html
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
<html><body>
<style>
body, h1, h2, h3, div, span, p, pre, a {
margin: 0;
padding: 0;
border: 0;
font-weight: inherit;
font-style: inherit;
font-size: 100%;
font-family: inherit;
vertical-align: baseline;
}
body {
font-size: 13px;
padding: 1em;
}
h1 {
font-size: 26px;
margin-bottom: 1em;
}
h2 {
font-size: 24px;
margin-bottom: 1em;
}
h3 {
font-size: 20px;
margin-bottom: 1em;
margin-top: 1em;
}
pre, code {
line-height: 1.5;
font-family: Monaco, 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', 'Lucida Console', monospace;
}
pre {
margin-top: 0.5em;
}
h1, h2, h3, p {
font-family: Arial, sans serif;
}
h1, h2, h3 {
border-bottom: solid #CCC 1px;
}
.toc_element {
margin-top: 0.5em;
}
.firstline {
margin-left: 2 em;
}
.method {
margin-top: 1em;
border: solid 1px #CCC;
padding: 1em;
background: #EEE;
}
.details {
font-weight: bold;
font-size: 14px;
}
</style>
<h1><a href="aiplatform_v1.html">Vertex AI API</a> . <a href="aiplatform_v1.projects.html">projects</a> . <a href="aiplatform_v1.projects.locations.html">locations</a> . <a href="aiplatform_v1.projects.locations.pipelineJobs.html">pipelineJobs</a></h1>
<h2>Instance Methods</h2>
<p class="toc_element">
<code><a href="aiplatform_v1.projects.locations.pipelineJobs.operations.html">operations()</a></code>
</p>
<p class="firstline">Returns the operations Resource.</p>
<p class="toc_element">
<code><a href="#batchCancel">batchCancel(parent, body=None, x__xgafv=None)</a></code></p>
<p class="firstline">Batch cancel PipelineJobs. Firstly the server will check if all the jobs are in non-terminal states, and skip the jobs that are already terminated. If the operation failed, none of the pipeline jobs are cancelled. The server will poll the states of all the pipeline jobs periodically to check the cancellation status. This operation will return an LRO.</p>
<p class="toc_element">
<code><a href="#batchDelete">batchDelete(parent, body=None, x__xgafv=None)</a></code></p>
<p class="firstline">Batch deletes PipelineJobs The Operation is atomic. If it fails, none of the PipelineJobs are deleted. If it succeeds, all of the PipelineJobs are deleted.</p>
<p class="toc_element">
<code><a href="#cancel">cancel(name, body=None, x__xgafv=None)</a></code></p>
<p class="firstline">Cancels a PipelineJob. Starts asynchronous cancellation on the PipelineJob. The server makes a best effort to cancel the pipeline, but success is not guaranteed. Clients can use PipelineService.GetPipelineJob or other methods to check whether the cancellation succeeded or whether the pipeline completed despite cancellation. On successful cancellation, the PipelineJob is not deleted; instead it becomes a pipeline with a PipelineJob.error value with a google.rpc.Status.code of 1, corresponding to `Code.CANCELLED`, and PipelineJob.state is set to `CANCELLED`.</p>
<p class="toc_element">
<code><a href="#close">close()</a></code></p>
<p class="firstline">Close httplib2 connections.</p>
<p class="toc_element">
<code><a href="#create">create(parent, body=None, pipelineJobId=None, x__xgafv=None)</a></code></p>
<p class="firstline">Creates a PipelineJob. A PipelineJob will run immediately when created.</p>
<p class="toc_element">
<code><a href="#delete">delete(name, x__xgafv=None)</a></code></p>
<p class="firstline">Deletes a PipelineJob.</p>
<p class="toc_element">
<code><a href="#get">get(name, x__xgafv=None)</a></code></p>
<p class="firstline">Gets a PipelineJob.</p>
<p class="toc_element">
<code><a href="#list">list(parent, filter=None, orderBy=None, pageSize=None, pageToken=None, readMask=None, x__xgafv=None)</a></code></p>
<p class="firstline">Lists PipelineJobs in a Location.</p>
<p class="toc_element">
<code><a href="#list_next">list_next()</a></code></p>
<p class="firstline">Retrieves the next page of results.</p>
<h3>Method Details</h3>
<div class="method">
<code class="details" id="batchCancel">batchCancel(parent, body=None, x__xgafv=None)</code>
<pre>Batch cancel PipelineJobs. Firstly the server will check if all the jobs are in non-terminal states, and skip the jobs that are already terminated. If the operation failed, none of the pipeline jobs are cancelled. The server will poll the states of all the pipeline jobs periodically to check the cancellation status. This operation will return an LRO.
Args:
parent: string, Required. The name of the PipelineJobs' parent resource. Format: `projects/{project}/locations/{location}` (required)
body: object, The request body.
The object takes the form of:
{ # Request message for PipelineService.BatchCancelPipelineJobs.
"names": [ # Required. The names of the PipelineJobs to cancel. A maximum of 32 PipelineJobs can be cancelled in a batch. Format: `projects/{project}/locations/{location}/pipelineJobs/{pipelineJob}`
"A String",
],
}
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format
Returns:
An object of the form:
{ # This resource represents a long-running operation that is the result of a network API call.
"done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
"error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
"code": 42, # The status code, which should be an enum value of google.rpc.Code.
"details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
{
"a_key": "", # Properties of the object. Contains field @type with type URL.
},
],
"message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
},
"metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
"a_key": "", # Properties of the object. Contains field @type with type URL.
},
"name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
"response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
"a_key": "", # Properties of the object. Contains field @type with type URL.
},
}</pre>
</div>
<div class="method">
<code class="details" id="batchDelete">batchDelete(parent, body=None, x__xgafv=None)</code>
<pre>Batch deletes PipelineJobs The Operation is atomic. If it fails, none of the PipelineJobs are deleted. If it succeeds, all of the PipelineJobs are deleted.
Args:
parent: string, Required. The name of the PipelineJobs' parent resource. Format: `projects/{project}/locations/{location}` (required)
body: object, The request body.
The object takes the form of:
{ # Request message for PipelineService.BatchDeletePipelineJobs.
"names": [ # Required. The names of the PipelineJobs to delete. A maximum of 32 PipelineJobs can be deleted in a batch. Format: `projects/{project}/locations/{location}/pipelineJobs/{pipelineJob}`
"A String",
],
}
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format
Returns:
An object of the form:
{ # This resource represents a long-running operation that is the result of a network API call.
"done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
"error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
"code": 42, # The status code, which should be an enum value of google.rpc.Code.
"details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
{
"a_key": "", # Properties of the object. Contains field @type with type URL.
},
],
"message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
},
"metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
"a_key": "", # Properties of the object. Contains field @type with type URL.
},
"name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
"response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
"a_key": "", # Properties of the object. Contains field @type with type URL.
},
}</pre>
</div>
<div class="method">
<code class="details" id="cancel">cancel(name, body=None, x__xgafv=None)</code>
<pre>Cancels a PipelineJob. Starts asynchronous cancellation on the PipelineJob. The server makes a best effort to cancel the pipeline, but success is not guaranteed. Clients can use PipelineService.GetPipelineJob or other methods to check whether the cancellation succeeded or whether the pipeline completed despite cancellation. On successful cancellation, the PipelineJob is not deleted; instead it becomes a pipeline with a PipelineJob.error value with a google.rpc.Status.code of 1, corresponding to `Code.CANCELLED`, and PipelineJob.state is set to `CANCELLED`.
Args:
name: string, Required. The name of the PipelineJob to cancel. Format: `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}` (required)
body: object, The request body.
The object takes the form of:
{ # Request message for PipelineService.CancelPipelineJob.
}
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format
Returns:
An object of the form:
{ # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }
}</pre>
</div>
<div class="method">
<code class="details" id="close">close()</code>
<pre>Close httplib2 connections.</pre>
</div>
<div class="method">
<code class="details" id="create">create(parent, body=None, pipelineJobId=None, x__xgafv=None)</code>
<pre>Creates a PipelineJob. A PipelineJob will run immediately when created.
Args:
parent: string, Required. The resource name of the Location to create the PipelineJob in. Format: `projects/{project}/locations/{location}` (required)
body: object, The request body.
The object takes the form of:
{ # An instance of a machine learning PipelineJob.
"createTime": "A String", # Output only. Pipeline creation time.
"displayName": "A String", # The display name of the Pipeline. The name can be up to 128 characters long and can consist of any UTF-8 characters.
"encryptionSpec": { # Represents a customer-managed encryption key spec that can be applied to a top-level resource. # Customer-managed encryption key spec for a pipelineJob. If set, this PipelineJob and all of its sub-resources will be secured by this key.
"kmsKeyName": "A String", # Required. The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`. The key needs to be in the same region as where the compute resource is created.
},
"endTime": "A String", # Output only. Pipeline end time.
"error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # Output only. The error that occurred during pipeline execution. Only populated when the pipeline's state is FAILED or CANCELLED.
"code": 42, # The status code, which should be an enum value of google.rpc.Code.
"details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
{
"a_key": "", # Properties of the object. Contains field @type with type URL.
},
],
"message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
},
"jobDetail": { # The runtime detail of PipelineJob. # Output only. The details of pipeline run. Not available in the list view.
"pipelineContext": { # Instance of a general context. # Output only. The context of the pipeline.
"createTime": "A String", # Output only. Timestamp when this Context was created.
"description": "A String", # Description of the Context
"displayName": "A String", # User provided display name of the Context. May be up to 128 Unicode characters.
"etag": "A String", # An eTag used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
"labels": { # The labels with user-defined metadata to organize your Contexts. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one Context (System labels are excluded).
"a_key": "A String",
},
"metadata": { # Properties of the Context. Top level metadata keys' heading and trailing spaces will be trimmed. The size of this field should not exceed 200KB.
"a_key": "", # Properties of the object.
},
"name": "A String", # Immutable. The resource name of the Context.
"parentContexts": [ # Output only. A list of resource names of Contexts that are parents of this Context. A Context may have at most 10 parent_contexts.
"A String",
],
"schemaTitle": "A String", # The title of the schema describing the metadata. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
"schemaVersion": "A String", # The version of the schema in schema_name to use. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
"updateTime": "A String", # Output only. Timestamp when this Context was last updated.
},
"pipelineRunContext": { # Instance of a general context. # Output only. The context of the current pipeline run.
"createTime": "A String", # Output only. Timestamp when this Context was created.
"description": "A String", # Description of the Context
"displayName": "A String", # User provided display name of the Context. May be up to 128 Unicode characters.
"etag": "A String", # An eTag used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
"labels": { # The labels with user-defined metadata to organize your Contexts. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one Context (System labels are excluded).
"a_key": "A String",
},
"metadata": { # Properties of the Context. Top level metadata keys' heading and trailing spaces will be trimmed. The size of this field should not exceed 200KB.
"a_key": "", # Properties of the object.
},
"name": "A String", # Immutable. The resource name of the Context.
"parentContexts": [ # Output only. A list of resource names of Contexts that are parents of this Context. A Context may have at most 10 parent_contexts.
"A String",
],
"schemaTitle": "A String", # The title of the schema describing the metadata. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
"schemaVersion": "A String", # The version of the schema in schema_name to use. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
"updateTime": "A String", # Output only. Timestamp when this Context was last updated.
},
"taskDetails": [ # Output only. The runtime details of the tasks under the pipeline.
{ # The runtime detail of a task execution.
"createTime": "A String", # Output only. Task create time.
"endTime": "A String", # Output only. Task end time.
"error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # Output only. The error that occurred during task execution. Only populated when the task's state is FAILED or CANCELLED.
"code": 42, # The status code, which should be an enum value of google.rpc.Code.
"details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
{
"a_key": "", # Properties of the object. Contains field @type with type URL.
},
],
"message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
},
"execution": { # Instance of a general execution. # Output only. The execution metadata of the task.
"createTime": "A String", # Output only. Timestamp when this Execution was created.
"description": "A String", # Description of the Execution
"displayName": "A String", # User provided display name of the Execution. May be up to 128 Unicode characters.
"etag": "A String", # An eTag used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
"labels": { # The labels with user-defined metadata to organize your Executions. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one Execution (System labels are excluded).
"a_key": "A String",
},
"metadata": { # Properties of the Execution. Top level metadata keys' heading and trailing spaces will be trimmed. The size of this field should not exceed 200KB.
"a_key": "", # Properties of the object.
},
"name": "A String", # Output only. The resource name of the Execution.
"schemaTitle": "A String", # The title of the schema describing the metadata. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
"schemaVersion": "A String", # The version of the schema in `schema_title` to use. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
"state": "A String", # The state of this Execution. This is a property of the Execution, and does not imply or capture any ongoing process. This property is managed by clients (such as Vertex AI Pipelines) and the system does not prescribe or check the validity of state transitions.
"updateTime": "A String", # Output only. Timestamp when this Execution was last updated.
},
"executorDetail": { # The runtime detail of a pipeline executor. # Output only. The detailed execution info.
"containerDetail": { # The detail of a container execution. It contains the job names of the lifecycle of a container execution. # Output only. The detailed info for a container executor.
"failedMainJobs": [ # Output only. The names of the previously failed CustomJob for the main container executions. The list includes the all attempts in chronological order.
"A String",
],
"failedPreCachingCheckJobs": [ # Output only. The names of the previously failed CustomJob for the pre-caching-check container executions. This job will be available if the PipelineJob.pipeline_spec specifies the `pre_caching_check` hook in the lifecycle events. The list includes the all attempts in chronological order.
"A String",
],
"mainJob": "A String", # Output only. The name of the CustomJob for the main container execution.
"preCachingCheckJob": "A String", # Output only. The name of the CustomJob for the pre-caching-check container execution. This job will be available if the PipelineJob.pipeline_spec specifies the `pre_caching_check` hook in the lifecycle events.
},
"customJobDetail": { # The detailed info for a custom job executor. # Output only. The detailed info for a custom job executor.
"failedJobs": [ # Output only. The names of the previously failed CustomJob. The list includes the all attempts in chronological order.
"A String",
],
"job": "A String", # Output only. The name of the CustomJob.
},
},
"inputs": { # Output only. The runtime input artifacts of the task.
"a_key": { # A list of artifact metadata.
"artifacts": [ # Output only. A list of artifact metadata.
{ # Instance of a general artifact.
"createTime": "A String", # Output only. Timestamp when this Artifact was created.
"description": "A String", # Description of the Artifact
"displayName": "A String", # User provided display name of the Artifact. May be up to 128 Unicode characters.
"etag": "A String", # An eTag used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
"labels": { # The labels with user-defined metadata to organize your Artifacts. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one Artifact (System labels are excluded).
"a_key": "A String",
},
"metadata": { # Properties of the Artifact. Top level metadata keys' heading and trailing spaces will be trimmed. The size of this field should not exceed 200KB.
"a_key": "", # Properties of the object.
},
"name": "A String", # Output only. The resource name of the Artifact.
"schemaTitle": "A String", # The title of the schema describing the metadata. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
"schemaVersion": "A String", # The version of the schema in schema_name to use. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
"state": "A String", # The state of this Artifact. This is a property of the Artifact, and does not imply or capture any ongoing process. This property is managed by clients (such as Vertex AI Pipelines), and the system does not prescribe or check the validity of state transitions.
"updateTime": "A String", # Output only. Timestamp when this Artifact was last updated.
"uri": "A String", # The uniform resource identifier of the artifact file. May be empty if there is no actual artifact file.
},
],
},
},
"outputs": { # Output only. The runtime output artifacts of the task.
"a_key": { # A list of artifact metadata.
"artifacts": [ # Output only. A list of artifact metadata.
{ # Instance of a general artifact.
"createTime": "A String", # Output only. Timestamp when this Artifact was created.
"description": "A String", # Description of the Artifact
"displayName": "A String", # User provided display name of the Artifact. May be up to 128 Unicode characters.
"etag": "A String", # An eTag used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
"labels": { # The labels with user-defined metadata to organize your Artifacts. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one Artifact (System labels are excluded).
"a_key": "A String",
},
"metadata": { # Properties of the Artifact. Top level metadata keys' heading and trailing spaces will be trimmed. The size of this field should not exceed 200KB.
"a_key": "", # Properties of the object.
},
"name": "A String", # Output only. The resource name of the Artifact.
"schemaTitle": "A String", # The title of the schema describing the metadata. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
"schemaVersion": "A String", # The version of the schema in schema_name to use. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
"state": "A String", # The state of this Artifact. This is a property of the Artifact, and does not imply or capture any ongoing process. This property is managed by clients (such as Vertex AI Pipelines), and the system does not prescribe or check the validity of state transitions.
"updateTime": "A String", # Output only. Timestamp when this Artifact was last updated.
"uri": "A String", # The uniform resource identifier of the artifact file. May be empty if there is no actual artifact file.
},
],
},
},
"parentTaskId": "A String", # Output only. The id of the parent task if the task is within a component scope. Empty if the task is at the root level.
"pipelineTaskStatus": [ # Output only. A list of task status. This field keeps a record of task status evolving over time.
{ # A single record of the task status.
"error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # Output only. The error that occurred during the state. May be set when the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state. If the state is FAILED, the error here is final and not going to be retried. If the state is a non-final state, the error indicates a system-error being retried.
"code": 42, # The status code, which should be an enum value of google.rpc.Code.
"details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
{
"a_key": "", # Properties of the object. Contains field @type with type URL.
},
],
"message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
},
"state": "A String", # Output only. The state of the task.
"updateTime": "A String", # Output only. Update time of this status.
},
],
"startTime": "A String", # Output only. Task start time.
"state": "A String", # Output only. State of the task.
"taskId": "A String", # Output only. The system generated ID of the task.
"taskName": "A String", # Output only. The user specified name of the task that is defined in pipeline_spec.
},
],
},
"labels": { # The labels with user-defined metadata to organize PipelineJob. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels. Note there is some reserved label key for Vertex AI Pipelines. - `vertex-ai-pipelines-run-billing-id`, user set value will get overrided.
"a_key": "A String",
},
"name": "A String", # Output only. The resource name of the PipelineJob.
"network": "A String", # The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Pipeline Job's workload should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. Private services access must already be configured for the network. Pipeline job will apply the network configuration to the Google Cloud resources being launched, if applied, such as Vertex AI Training or Dataflow job. If left unspecified, the workload is not peered with any network.
"pipelineSpec": { # The spec of the pipeline.
"a_key": "", # Properties of the object.
},
"reservedIpRanges": [ # A list of names for the reserved ip ranges under the VPC network that can be used for this Pipeline Job's workload. If set, we will deploy the Pipeline Job's workload within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
"A String",
],
"runtimeConfig": { # The runtime config of a PipelineJob. # Runtime config of the pipeline.
"failurePolicy": "A String", # Represents the failure policy of a pipeline. Currently, the default of a pipeline is that the pipeline will continue to run until no more tasks can be executed, also known as PIPELINE_FAILURE_POLICY_FAIL_SLOW. However, if a pipeline is set to PIPELINE_FAILURE_POLICY_FAIL_FAST, it will stop scheduling any new tasks when a task has failed. Any scheduled tasks will continue to completion.
"gcsOutputDirectory": "A String", # Required. A path in a Cloud Storage bucket, which will be treated as the root output directory of the pipeline. It is used by the system to generate the paths of output artifacts. The artifact paths are generated with a sub-path pattern `{job_id}/{task_id}/{output_key}` under the specified output directory. The service account specified in this pipeline must have the `storage.objects.get` and `storage.objects.create` permissions for this bucket.
"inputArtifacts": { # The runtime artifacts of the PipelineJob. The key will be the input artifact name and the value would be one of the InputArtifact.
"a_key": { # The type of an input artifact.
"artifactId": "A String", # Artifact resource id from MLMD. Which is the last portion of an artifact resource name: `projects/{project}/locations/{location}/metadataStores/default/artifacts/{artifact_id}`. The artifact must stay within the same project, location and default metadatastore as the pipeline.
},
},
"parameterValues": { # The runtime parameters of the PipelineJob. The parameters will be passed into PipelineJob.pipeline_spec to replace the placeholders at runtime. This field is used by pipelines built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
"a_key": "",
},
"parameters": { # Deprecated. Use RuntimeConfig.parameter_values instead. The runtime parameters of the PipelineJob. The parameters will be passed into PipelineJob.pipeline_spec to replace the placeholders at runtime. This field is used by pipelines built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
"a_key": { # Value is the value of the field.
"doubleValue": 3.14, # A double value.
"intValue": "A String", # An integer value.
"stringValue": "A String", # A string value.
},
},
},
"scheduleName": "A String", # Output only. The schedule resource name. Only returned if the Pipeline is created by Schedule API.
"serviceAccount": "A String", # The service account that the pipeline workload runs as. If not specified, the Compute Engine default service account in the project will be used. See https://cloud.google.com/compute/docs/access/service-accounts#default_service_account Users starting the pipeline must have the `iam.serviceAccounts.actAs` permission on this service account.
"startTime": "A String", # Output only. Pipeline start time.
"state": "A String", # Output only. The detailed state of the job.
"templateMetadata": { # Pipeline template metadata if PipelineJob.template_uri is from supported template registry. Currently, the only supported registry is Artifact Registry. # Output only. Pipeline template metadata. Will fill up fields if PipelineJob.template_uri is from supported template registry.
"version": "A String", # The version_name in artifact registry. Will always be presented in output if the PipelineJob.template_uri is from supported template registry. Format is "sha256:abcdef123456...".
},
"templateUri": "A String", # A template uri from where the PipelineJob.pipeline_spec, if empty, will be downloaded. Currently, only uri from Vertex Template Registry & Gallery is supported. Reference to https://cloud.google.com/vertex-ai/docs/pipelines/create-pipeline-template.
"updateTime": "A String", # Output only. Timestamp when this PipelineJob was most recently updated.
}
pipelineJobId: string, The ID to use for the PipelineJob, which will become the final component of the PipelineJob name. If not provided, an ID will be automatically generated. This value should be less than 128 characters, and valid characters are `/a-z-/`.
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format
Returns:
An object of the form:
{ # An instance of a machine learning PipelineJob.
"createTime": "A String", # Output only. Pipeline creation time.
"displayName": "A String", # The display name of the Pipeline. The name can be up to 128 characters long and can consist of any UTF-8 characters.
"encryptionSpec": { # Represents a customer-managed encryption key spec that can be applied to a top-level resource. # Customer-managed encryption key spec for a pipelineJob. If set, this PipelineJob and all of its sub-resources will be secured by this key.
"kmsKeyName": "A String", # Required. The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`. The key needs to be in the same region as where the compute resource is created.
},
"endTime": "A String", # Output only. Pipeline end time.
"error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # Output only. The error that occurred during pipeline execution. Only populated when the pipeline's state is FAILED or CANCELLED.
"code": 42, # The status code, which should be an enum value of google.rpc.Code.
"details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
{
"a_key": "", # Properties of the object. Contains field @type with type URL.
},
],
"message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
},
"jobDetail": { # The runtime detail of PipelineJob. # Output only. The details of pipeline run. Not available in the list view.
"pipelineContext": { # Instance of a general context. # Output only. The context of the pipeline.
"createTime": "A String", # Output only. Timestamp when this Context was created.
"description": "A String", # Description of the Context
"displayName": "A String", # User provided display name of the Context. May be up to 128 Unicode characters.
"etag": "A String", # An eTag used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
"labels": { # The labels with user-defined metadata to organize your Contexts. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one Context (System labels are excluded).
"a_key": "A String",
},
"metadata": { # Properties of the Context. Top level metadata keys' heading and trailing spaces will be trimmed. The size of this field should not exceed 200KB.
"a_key": "", # Properties of the object.
},
"name": "A String", # Immutable. The resource name of the Context.
"parentContexts": [ # Output only. A list of resource names of Contexts that are parents of this Context. A Context may have at most 10 parent_contexts.
"A String",
],
"schemaTitle": "A String", # The title of the schema describing the metadata. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
"schemaVersion": "A String", # The version of the schema in schema_name to use. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
"updateTime": "A String", # Output only. Timestamp when this Context was last updated.
},
"pipelineRunContext": { # Instance of a general context. # Output only. The context of the current pipeline run.
"createTime": "A String", # Output only. Timestamp when this Context was created.
"description": "A String", # Description of the Context
"displayName": "A String", # User provided display name of the Context. May be up to 128 Unicode characters.
"etag": "A String", # An eTag used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
"labels": { # The labels with user-defined metadata to organize your Contexts. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one Context (System labels are excluded).
"a_key": "A String",
},
"metadata": { # Properties of the Context. Top level metadata keys' heading and trailing spaces will be trimmed. The size of this field should not exceed 200KB.
"a_key": "", # Properties of the object.
},
"name": "A String", # Immutable. The resource name of the Context.
"parentContexts": [ # Output only. A list of resource names of Contexts that are parents of this Context. A Context may have at most 10 parent_contexts.
"A String",
],
"schemaTitle": "A String", # The title of the schema describing the metadata. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
"schemaVersion": "A String", # The version of the schema in schema_name to use. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
"updateTime": "A String", # Output only. Timestamp when this Context was last updated.
},
"taskDetails": [ # Output only. The runtime details of the tasks under the pipeline.
{ # The runtime detail of a task execution.
"createTime": "A String", # Output only. Task create time.
"endTime": "A String", # Output only. Task end time.
"error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # Output only. The error that occurred during task execution. Only populated when the task's state is FAILED or CANCELLED.
"code": 42, # The status code, which should be an enum value of google.rpc.Code.
"details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
{
"a_key": "", # Properties of the object. Contains field @type with type URL.
},
],
"message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
},
"execution": { # Instance of a general execution. # Output only. The execution metadata of the task.
"createTime": "A String", # Output only. Timestamp when this Execution was created.
"description": "A String", # Description of the Execution
"displayName": "A String", # User provided display name of the Execution. May be up to 128 Unicode characters.
"etag": "A String", # An eTag used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
"labels": { # The labels with user-defined metadata to organize your Executions. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one Execution (System labels are excluded).
"a_key": "A String",
},
"metadata": { # Properties of the Execution. Top level metadata keys' heading and trailing spaces will be trimmed. The size of this field should not exceed 200KB.
"a_key": "", # Properties of the object.
},
"name": "A String", # Output only. The resource name of the Execution.
"schemaTitle": "A String", # The title of the schema describing the metadata. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
"schemaVersion": "A String", # The version of the schema in `schema_title` to use. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
"state": "A String", # The state of this Execution. This is a property of the Execution, and does not imply or capture any ongoing process. This property is managed by clients (such as Vertex AI Pipelines) and the system does not prescribe or check the validity of state transitions.
"updateTime": "A String", # Output only. Timestamp when this Execution was last updated.
},
"executorDetail": { # The runtime detail of a pipeline executor. # Output only. The detailed execution info.
"containerDetail": { # The detail of a container execution. It contains the job names of the lifecycle of a container execution. # Output only. The detailed info for a container executor.
"failedMainJobs": [ # Output only. The names of the previously failed CustomJob for the main container executions. The list includes the all attempts in chronological order.
"A String",
],
"failedPreCachingCheckJobs": [ # Output only. The names of the previously failed CustomJob for the pre-caching-check container executions. This job will be available if the PipelineJob.pipeline_spec specifies the `pre_caching_check` hook in the lifecycle events. The list includes the all attempts in chronological order.
"A String",
],
"mainJob": "A String", # Output only. The name of the CustomJob for the main container execution.
"preCachingCheckJob": "A String", # Output only. The name of the CustomJob for the pre-caching-check container execution. This job will be available if the PipelineJob.pipeline_spec specifies the `pre_caching_check` hook in the lifecycle events.
},
"customJobDetail": { # The detailed info for a custom job executor. # Output only. The detailed info for a custom job executor.
"failedJobs": [ # Output only. The names of the previously failed CustomJob. The list includes the all attempts in chronological order.
"A String",
],
"job": "A String", # Output only. The name of the CustomJob.
},
},
"inputs": { # Output only. The runtime input artifacts of the task.
"a_key": { # A list of artifact metadata.
"artifacts": [ # Output only. A list of artifact metadata.
{ # Instance of a general artifact.
"createTime": "A String", # Output only. Timestamp when this Artifact was created.
"description": "A String", # Description of the Artifact
"displayName": "A String", # User provided display name of the Artifact. May be up to 128 Unicode characters.
"etag": "A String", # An eTag used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
"labels": { # The labels with user-defined metadata to organize your Artifacts. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one Artifact (System labels are excluded).
"a_key": "A String",
},
"metadata": { # Properties of the Artifact. Top level metadata keys' heading and trailing spaces will be trimmed. The size of this field should not exceed 200KB.
"a_key": "", # Properties of the object.
},
"name": "A String", # Output only. The resource name of the Artifact.
"schemaTitle": "A String", # The title of the schema describing the metadata. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
"schemaVersion": "A String", # The version of the schema in schema_name to use. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
"state": "A String", # The state of this Artifact. This is a property of the Artifact, and does not imply or capture any ongoing process. This property is managed by clients (such as Vertex AI Pipelines), and the system does not prescribe or check the validity of state transitions.
"updateTime": "A String", # Output only. Timestamp when this Artifact was last updated.
"uri": "A String", # The uniform resource identifier of the artifact file. May be empty if there is no actual artifact file.
},
],
},
},
"outputs": { # Output only. The runtime output artifacts of the task.
"a_key": { # A list of artifact metadata.
"artifacts": [ # Output only. A list of artifact metadata.
{ # Instance of a general artifact.
"createTime": "A String", # Output only. Timestamp when this Artifact was created.
"description": "A String", # Description of the Artifact
"displayName": "A String", # User provided display name of the Artifact. May be up to 128 Unicode characters.
"etag": "A String", # An eTag used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
"labels": { # The labels with user-defined metadata to organize your Artifacts. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one Artifact (System labels are excluded).
"a_key": "A String",
},
"metadata": { # Properties of the Artifact. Top level metadata keys' heading and trailing spaces will be trimmed. The size of this field should not exceed 200KB.
"a_key": "", # Properties of the object.
},
"name": "A String", # Output only. The resource name of the Artifact.
"schemaTitle": "A String", # The title of the schema describing the metadata. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
"schemaVersion": "A String", # The version of the schema in schema_name to use. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
"state": "A String", # The state of this Artifact. This is a property of the Artifact, and does not imply or capture any ongoing process. This property is managed by clients (such as Vertex AI Pipelines), and the system does not prescribe or check the validity of state transitions.
"updateTime": "A String", # Output only. Timestamp when this Artifact was last updated.
"uri": "A String", # The uniform resource identifier of the artifact file. May be empty if there is no actual artifact file.
},
],
},
},
"parentTaskId": "A String", # Output only. The id of the parent task if the task is within a component scope. Empty if the task is at the root level.
"pipelineTaskStatus": [ # Output only. A list of task status. This field keeps a record of task status evolving over time.
{ # A single record of the task status.
"error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # Output only. The error that occurred during the state. May be set when the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state. If the state is FAILED, the error here is final and not going to be retried. If the state is a non-final state, the error indicates a system-error being retried.
"code": 42, # The status code, which should be an enum value of google.rpc.Code.
"details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
{
"a_key": "", # Properties of the object. Contains field @type with type URL.
},
],
"message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
},
"state": "A String", # Output only. The state of the task.
"updateTime": "A String", # Output only. Update time of this status.
},
],
"startTime": "A String", # Output only. Task start time.
"state": "A String", # Output only. State of the task.
"taskId": "A String", # Output only. The system generated ID of the task.
"taskName": "A String", # Output only. The user specified name of the task that is defined in pipeline_spec.
},
],
},
"labels": { # The labels with user-defined metadata to organize PipelineJob. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels. Note there is some reserved label key for Vertex AI Pipelines. - `vertex-ai-pipelines-run-billing-id`, user set value will get overrided.
"a_key": "A String",
},
"name": "A String", # Output only. The resource name of the PipelineJob.
"network": "A String", # The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Pipeline Job's workload should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. Private services access must already be configured for the network. Pipeline job will apply the network configuration to the Google Cloud resources being launched, if applied, such as Vertex AI Training or Dataflow job. If left unspecified, the workload is not peered with any network.
"pipelineSpec": { # The spec of the pipeline.
"a_key": "", # Properties of the object.
},
"reservedIpRanges": [ # A list of names for the reserved ip ranges under the VPC network that can be used for this Pipeline Job's workload. If set, we will deploy the Pipeline Job's workload within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
"A String",
],
"runtimeConfig": { # The runtime config of a PipelineJob. # Runtime config of the pipeline.
"failurePolicy": "A String", # Represents the failure policy of a pipeline. Currently, the default of a pipeline is that the pipeline will continue to run until no more tasks can be executed, also known as PIPELINE_FAILURE_POLICY_FAIL_SLOW. However, if a pipeline is set to PIPELINE_FAILURE_POLICY_FAIL_FAST, it will stop scheduling any new tasks when a task has failed. Any scheduled tasks will continue to completion.
"gcsOutputDirectory": "A String", # Required. A path in a Cloud Storage bucket, which will be treated as the root output directory of the pipeline. It is used by the system to generate the paths of output artifacts. The artifact paths are generated with a sub-path pattern `{job_id}/{task_id}/{output_key}` under the specified output directory. The service account specified in this pipeline must have the `storage.objects.get` and `storage.objects.create` permissions for this bucket.
"inputArtifacts": { # The runtime artifacts of the PipelineJob. The key will be the input artifact name and the value would be one of the InputArtifact.
"a_key": { # The type of an input artifact.
"artifactId": "A String", # Artifact resource id from MLMD. Which is the last portion of an artifact resource name: `projects/{project}/locations/{location}/metadataStores/default/artifacts/{artifact_id}`. The artifact must stay within the same project, location and default metadatastore as the pipeline.
},
},
"parameterValues": { # The runtime parameters of the PipelineJob. The parameters will be passed into PipelineJob.pipeline_spec to replace the placeholders at runtime. This field is used by pipelines built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
"a_key": "",
},
"parameters": { # Deprecated. Use RuntimeConfig.parameter_values instead. The runtime parameters of the PipelineJob. The parameters will be passed into PipelineJob.pipeline_spec to replace the placeholders at runtime. This field is used by pipelines built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
"a_key": { # Value is the value of the field.
"doubleValue": 3.14, # A double value.
"intValue": "A String", # An integer value.
"stringValue": "A String", # A string value.
},
},
},
"scheduleName": "A String", # Output only. The schedule resource name. Only returned if the Pipeline is created by Schedule API.
"serviceAccount": "A String", # The service account that the pipeline workload runs as. If not specified, the Compute Engine default service account in the project will be used. See https://cloud.google.com/compute/docs/access/service-accounts#default_service_account Users starting the pipeline must have the `iam.serviceAccounts.actAs` permission on this service account.
"startTime": "A String", # Output only. Pipeline start time.
"state": "A String", # Output only. The detailed state of the job.
"templateMetadata": { # Pipeline template metadata if PipelineJob.template_uri is from supported template registry. Currently, the only supported registry is Artifact Registry. # Output only. Pipeline template metadata. Will fill up fields if PipelineJob.template_uri is from supported template registry.
"version": "A String", # The version_name in artifact registry. Will always be presented in output if the PipelineJob.template_uri is from supported template registry. Format is "sha256:abcdef123456...".
},
"templateUri": "A String", # A template uri from where the PipelineJob.pipeline_spec, if empty, will be downloaded. Currently, only uri from Vertex Template Registry & Gallery is supported. Reference to https://cloud.google.com/vertex-ai/docs/pipelines/create-pipeline-template.
"updateTime": "A String", # Output only. Timestamp when this PipelineJob was most recently updated.
}</pre>
</div>
<div class="method">
<code class="details" id="delete">delete(name, x__xgafv=None)</code>
<pre>Deletes a PipelineJob.
Args:
name: string, Required. The name of the PipelineJob resource to be deleted. Format: `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}` (required)
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format
Returns:
An object of the form:
{ # This resource represents a long-running operation that is the result of a network API call.
"done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
"error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
"code": 42, # The status code, which should be an enum value of google.rpc.Code.
"details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
{
"a_key": "", # Properties of the object. Contains field @type with type URL.
},
],
"message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
},
"metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
"a_key": "", # Properties of the object. Contains field @type with type URL.
},
"name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
"response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
"a_key": "", # Properties of the object. Contains field @type with type URL.
},
}</pre>
</div>
<div class="method">
<code class="details" id="get">get(name, x__xgafv=None)</code>
<pre>Gets a PipelineJob.
Args:
name: string, Required. The name of the PipelineJob resource. Format: `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}` (required)
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format
Returns:
An object of the form:
{ # An instance of a machine learning PipelineJob.
"createTime": "A String", # Output only. Pipeline creation time.
"displayName": "A String", # The display name of the Pipeline. The name can be up to 128 characters long and can consist of any UTF-8 characters.
"encryptionSpec": { # Represents a customer-managed encryption key spec that can be applied to a top-level resource. # Customer-managed encryption key spec for a pipelineJob. If set, this PipelineJob and all of its sub-resources will be secured by this key.
"kmsKeyName": "A String", # Required. The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`. The key needs to be in the same region as where the compute resource is created.
},
"endTime": "A String", # Output only. Pipeline end time.
"error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # Output only. The error that occurred during pipeline execution. Only populated when the pipeline's state is FAILED or CANCELLED.
"code": 42, # The status code, which should be an enum value of google.rpc.Code.
"details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
{
"a_key": "", # Properties of the object. Contains field @type with type URL.
},
],
"message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
},
"jobDetail": { # The runtime detail of PipelineJob. # Output only. The details of pipeline run. Not available in the list view.
"pipelineContext": { # Instance of a general context. # Output only. The context of the pipeline.
"createTime": "A String", # Output only. Timestamp when this Context was created.
"description": "A String", # Description of the Context
"displayName": "A String", # User provided display name of the Context. May be up to 128 Unicode characters.
"etag": "A String", # An eTag used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
"labels": { # The labels with user-defined metadata to organize your Contexts. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one Context (System labels are excluded).
"a_key": "A String",
},
"metadata": { # Properties of the Context. Top level metadata keys' heading and trailing spaces will be trimmed. The size of this field should not exceed 200KB.
"a_key": "", # Properties of the object.
},
"name": "A String", # Immutable. The resource name of the Context.
"parentContexts": [ # Output only. A list of resource names of Contexts that are parents of this Context. A Context may have at most 10 parent_contexts.
"A String",
],
"schemaTitle": "A String", # The title of the schema describing the metadata. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
"schemaVersion": "A String", # The version of the schema in schema_name to use. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
"updateTime": "A String", # Output only. Timestamp when this Context was last updated.
},
"pipelineRunContext": { # Instance of a general context. # Output only. The context of the current pipeline run.
"createTime": "A String", # Output only. Timestamp when this Context was created.
"description": "A String", # Description of the Context
"displayName": "A String", # User provided display name of the Context. May be up to 128 Unicode characters.
"etag": "A String", # An eTag used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
"labels": { # The labels with user-defined metadata to organize your Contexts. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one Context (System labels are excluded).
"a_key": "A String",
},
"metadata": { # Properties of the Context. Top level metadata keys' heading and trailing spaces will be trimmed. The size of this field should not exceed 200KB.
"a_key": "", # Properties of the object.
},
"name": "A String", # Immutable. The resource name of the Context.
"parentContexts": [ # Output only. A list of resource names of Contexts that are parents of this Context. A Context may have at most 10 parent_contexts.
"A String",
],
"schemaTitle": "A String", # The title of the schema describing the metadata. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
"schemaVersion": "A String", # The version of the schema in schema_name to use. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
"updateTime": "A String", # Output only. Timestamp when this Context was last updated.
},
"taskDetails": [ # Output only. The runtime details of the tasks under the pipeline.
{ # The runtime detail of a task execution.
"createTime": "A String", # Output only. Task create time.
"endTime": "A String", # Output only. Task end time.
"error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # Output only. The error that occurred during task execution. Only populated when the task's state is FAILED or CANCELLED.
"code": 42, # The status code, which should be an enum value of google.rpc.Code.
"details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
{
"a_key": "", # Properties of the object. Contains field @type with type URL.
},
],
"message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
},
"execution": { # Instance of a general execution. # Output only. The execution metadata of the task.
"createTime": "A String", # Output only. Timestamp when this Execution was created.
"description": "A String", # Description of the Execution
"displayName": "A String", # User provided display name of the Execution. May be up to 128 Unicode characters.
"etag": "A String", # An eTag used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
"labels": { # The labels with user-defined metadata to organize your Executions. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one Execution (System labels are excluded).
"a_key": "A String",
},
"metadata": { # Properties of the Execution. Top level metadata keys' heading and trailing spaces will be trimmed. The size of this field should not exceed 200KB.
"a_key": "", # Properties of the object.
},
"name": "A String", # Output only. The resource name of the Execution.
"schemaTitle": "A String", # The title of the schema describing the metadata. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
"schemaVersion": "A String", # The version of the schema in `schema_title` to use. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
"state": "A String", # The state of this Execution. This is a property of the Execution, and does not imply or capture any ongoing process. This property is managed by clients (such as Vertex AI Pipelines) and the system does not prescribe or check the validity of state transitions.
"updateTime": "A String", # Output only. Timestamp when this Execution was last updated.
},
"executorDetail": { # The runtime detail of a pipeline executor. # Output only. The detailed execution info.
"containerDetail": { # The detail of a container execution. It contains the job names of the lifecycle of a container execution. # Output only. The detailed info for a container executor.
"failedMainJobs": [ # Output only. The names of the previously failed CustomJob for the main container executions. The list includes the all attempts in chronological order.
"A String",
],
"failedPreCachingCheckJobs": [ # Output only. The names of the previously failed CustomJob for the pre-caching-check container executions. This job will be available if the PipelineJob.pipeline_spec specifies the `pre_caching_check` hook in the lifecycle events. The list includes the all attempts in chronological order.
"A String",
],
"mainJob": "A String", # Output only. The name of the CustomJob for the main container execution.
"preCachingCheckJob": "A String", # Output only. The name of the CustomJob for the pre-caching-check container execution. This job will be available if the PipelineJob.pipeline_spec specifies the `pre_caching_check` hook in the lifecycle events.
},
"customJobDetail": { # The detailed info for a custom job executor. # Output only. The detailed info for a custom job executor.
"failedJobs": [ # Output only. The names of the previously failed CustomJob. The list includes the all attempts in chronological order.
"A String",
],
"job": "A String", # Output only. The name of the CustomJob.
},
},
"inputs": { # Output only. The runtime input artifacts of the task.
"a_key": { # A list of artifact metadata.
"artifacts": [ # Output only. A list of artifact metadata.
{ # Instance of a general artifact.
"createTime": "A String", # Output only. Timestamp when this Artifact was created.
"description": "A String", # Description of the Artifact
"displayName": "A String", # User provided display name of the Artifact. May be up to 128 Unicode characters.
"etag": "A String", # An eTag used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
"labels": { # The labels with user-defined metadata to organize your Artifacts. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one Artifact (System labels are excluded).
"a_key": "A String",
},
"metadata": { # Properties of the Artifact. Top level metadata keys' heading and trailing spaces will be trimmed. The size of this field should not exceed 200KB.
"a_key": "", # Properties of the object.
},
"name": "A String", # Output only. The resource name of the Artifact.
"schemaTitle": "A String", # The title of the schema describing the metadata. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
"schemaVersion": "A String", # The version of the schema in schema_name to use. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
"state": "A String", # The state of this Artifact. This is a property of the Artifact, and does not imply or capture any ongoing process. This property is managed by clients (such as Vertex AI Pipelines), and the system does not prescribe or check the validity of state transitions.
"updateTime": "A String", # Output only. Timestamp when this Artifact was last updated.
"uri": "A String", # The uniform resource identifier of the artifact file. May be empty if there is no actual artifact file.
},
],
},
},
"outputs": { # Output only. The runtime output artifacts of the task.
"a_key": { # A list of artifact metadata.
"artifacts": [ # Output only. A list of artifact metadata.
{ # Instance of a general artifact.
"createTime": "A String", # Output only. Timestamp when this Artifact was created.
"description": "A String", # Description of the Artifact
"displayName": "A String", # User provided display name of the Artifact. May be up to 128 Unicode characters.
"etag": "A String", # An eTag used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
"labels": { # The labels with user-defined metadata to organize your Artifacts. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one Artifact (System labels are excluded).
"a_key": "A String",
},
"metadata": { # Properties of the Artifact. Top level metadata keys' heading and trailing spaces will be trimmed. The size of this field should not exceed 200KB.
"a_key": "", # Properties of the object.
},
"name": "A String", # Output only. The resource name of the Artifact.
"schemaTitle": "A String", # The title of the schema describing the metadata. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
"schemaVersion": "A String", # The version of the schema in schema_name to use. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
"state": "A String", # The state of this Artifact. This is a property of the Artifact, and does not imply or capture any ongoing process. This property is managed by clients (such as Vertex AI Pipelines), and the system does not prescribe or check the validity of state transitions.
"updateTime": "A String", # Output only. Timestamp when this Artifact was last updated.
"uri": "A String", # The uniform resource identifier of the artifact file. May be empty if there is no actual artifact file.
},
],
},
},
"parentTaskId": "A String", # Output only. The id of the parent task if the task is within a component scope. Empty if the task is at the root level.
"pipelineTaskStatus": [ # Output only. A list of task status. This field keeps a record of task status evolving over time.
{ # A single record of the task status.
"error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # Output only. The error that occurred during the state. May be set when the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or FAILED state. If the state is FAILED, the error here is final and not going to be retried. If the state is a non-final state, the error indicates a system-error being retried.
"code": 42, # The status code, which should be an enum value of google.rpc.Code.
"details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
{
"a_key": "", # Properties of the object. Contains field @type with type URL.
},
],
"message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
},
"state": "A String", # Output only. The state of the task.
"updateTime": "A String", # Output only. Update time of this status.
},
],
"startTime": "A String", # Output only. Task start time.
"state": "A String", # Output only. State of the task.
"taskId": "A String", # Output only. The system generated ID of the task.
"taskName": "A String", # Output only. The user specified name of the task that is defined in pipeline_spec.
},
],
},
"labels": { # The labels with user-defined metadata to organize PipelineJob. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels. Note there is some reserved label key for Vertex AI Pipelines. - `vertex-ai-pipelines-run-billing-id`, user set value will get overrided.
"a_key": "A String",
},
"name": "A String", # Output only. The resource name of the PipelineJob.
"network": "A String", # The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Pipeline Job's workload should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. Private services access must already be configured for the network. Pipeline job will apply the network configuration to the Google Cloud resources being launched, if applied, such as Vertex AI Training or Dataflow job. If left unspecified, the workload is not peered with any network.
"pipelineSpec": { # The spec of the pipeline.
"a_key": "", # Properties of the object.
},
"reservedIpRanges": [ # A list of names for the reserved ip ranges under the VPC network that can be used for this Pipeline Job's workload. If set, we will deploy the Pipeline Job's workload within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
"A String",
],
"runtimeConfig": { # The runtime config of a PipelineJob. # Runtime config of the pipeline.
"failurePolicy": "A String", # Represents the failure policy of a pipeline. Currently, the default of a pipeline is that the pipeline will continue to run until no more tasks can be executed, also known as PIPELINE_FAILURE_POLICY_FAIL_SLOW. However, if a pipeline is set to PIPELINE_FAILURE_POLICY_FAIL_FAST, it will stop scheduling any new tasks when a task has failed. Any scheduled tasks will continue to completion.
"gcsOutputDirectory": "A String", # Required. A path in a Cloud Storage bucket, which will be treated as the root output directory of the pipeline. It is used by the system to generate the paths of output artifacts. The artifact paths are generated with a sub-path pattern `{job_id}/{task_id}/{output_key}` under the specified output directory. The service account specified in this pipeline must have the `storage.objects.get` and `storage.objects.create` permissions for this bucket.
"inputArtifacts": { # The runtime artifacts of the PipelineJob. The key will be the input artifact name and the value would be one of the InputArtifact.
"a_key": { # The type of an input artifact.
"artifactId": "A String", # Artifact resource id from MLMD. Which is the last portion of an artifact resource name: `projects/{project}/locations/{location}/metadataStores/default/artifacts/{artifact_id}`. The artifact must stay within the same project, location and default metadatastore as the pipeline.
},
},
"parameterValues": { # The runtime parameters of the PipelineJob. The parameters will be passed into PipelineJob.pipeline_spec to replace the placeholders at runtime. This field is used by pipelines built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
"a_key": "",
},
"parameters": { # Deprecated. Use RuntimeConfig.parameter_values instead. The runtime parameters of the PipelineJob. The parameters will be passed into PipelineJob.pipeline_spec to replace the placeholders at runtime. This field is used by pipelines built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.
"a_key": { # Value is the value of the field.
"doubleValue": 3.14, # A double value.
"intValue": "A String", # An integer value.
"stringValue": "A String", # A string value.
},
},
},
"scheduleName": "A String", # Output only. The schedule resource name. Only returned if the Pipeline is created by Schedule API.
"serviceAccount": "A String", # The service account that the pipeline workload runs as. If not specified, the Compute Engine default service account in the project will be used. See https://cloud.google.com/compute/docs/access/service-accounts#default_service_account Users starting the pipeline must have the `iam.serviceAccounts.actAs` permission on this service account.
"startTime": "A String", # Output only. Pipeline start time.
"state": "A String", # Output only. The detailed state of the job.
"templateMetadata": { # Pipeline template metadata if PipelineJob.template_uri is from supported template registry. Currently, the only supported registry is Artifact Registry. # Output only. Pipeline template metadata. Will fill up fields if PipelineJob.template_uri is from supported template registry.
"version": "A String", # The version_name in artifact registry. Will always be presented in output if the PipelineJob.template_uri is from supported template registry. Format is "sha256:abcdef123456...".
},
"templateUri": "A String", # A template uri from where the PipelineJob.pipeline_spec, if empty, will be downloaded. Currently, only uri from Vertex Template Registry & Gallery is supported. Reference to https://cloud.google.com/vertex-ai/docs/pipelines/create-pipeline-template.
"updateTime": "A String", # Output only. Timestamp when this PipelineJob was most recently updated.
}</pre>
</div>
<div class="method">
<code class="details" id="list">list(parent, filter=None, orderBy=None, pageSize=None, pageToken=None, readMask=None, x__xgafv=None)</code>
<pre>Lists PipelineJobs in a Location.
Args:
parent: string, Required. The resource name of the Location to list the PipelineJobs from. Format: `projects/{project}/locations/{location}` (required)
filter: string, Lists the PipelineJobs that match the filter expression. The following fields are supported: * `pipeline_name`: Supports `=` and `!=` comparisons. * `display_name`: Supports `=`, `!=` comparisons, and `:` wildcard. * `pipeline_job_user_id`: Supports `=`, `!=` comparisons, and `:` wildcard. for example, can check if pipeline's display_name contains *step* by doing display_name:\"*step*\" * `state`: Supports `=` and `!=` comparisons. * `create_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons. Values must be in RFC 3339 format. * `update_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons. Values must be in RFC 3339 format. * `end_time`: Supports `=`, `!=`, `<`, `>`, `<=`, and `>=` comparisons. Values must be in RFC 3339 format. * `labels`: Supports key-value equality and key presence. * `template_uri`: Supports `=`, `!=` comparisons, and `:` wildcard. * `template_metadata.version`: Supports `=`, `!=` comparisons, and `:` wildcard. Filter expressions can be combined together using logical operators (`AND` & `OR`). For example: `pipeline_name="test" AND create_time>"2020-05-18T13:30:00Z"`. The syntax to define filter expression is based on https://google.aip.dev/160. Examples: * `create_time>"2021-05-18T00:00:00Z" OR update_time>"2020-05-18T00:00:00Z"` PipelineJobs created or updated after 2020-05-18 00:00:00 UTC. * `labels.env = "prod"` PipelineJobs with label "env" set to "prod".
orderBy: string, A comma-separated list of fields to order by. The default sort order is in ascending order. Use "desc" after a field name for descending. You can have multiple order_by fields provided e.g. "create_time desc, end_time", "end_time, start_time, update_time" For example, using "create_time desc, end_time" will order results by create time in descending order, and if there are multiple jobs having the same create time, order them by the end time in ascending order. if order_by is not specified, it will order by default order is create time in descending order. Supported fields: * `create_time` * `update_time` * `end_time` * `start_time`
pageSize: integer, The standard list page size.
pageToken: string, The standard list page token. Typically obtained via ListPipelineJobsResponse.next_page_token of the previous PipelineService.ListPipelineJobs call.
readMask: string, Mask specifying which fields to read.
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format
Returns:
An object of the form:
{ # Response message for PipelineService.ListPipelineJobs
"nextPageToken": "A String", # A token to retrieve the next page of results. Pass to ListPipelineJobsRequest.page_token to obtain that page.
"pipelineJobs": [ # List of PipelineJobs in the requested page.
{ # An instance of a machine learning PipelineJob.
"createTime": "A String", # Output only. Pipeline creation time.
"displayName": "A String", # The display name of the Pipeline. The name can be up to 128 characters long and can consist of any UTF-8 characters.
"encryptionSpec": { # Represents a customer-managed encryption key spec that can be applied to a top-level resource. # Customer-managed encryption key spec for a pipelineJob. If set, this PipelineJob and all of its sub-resources will be secured by this key.
"kmsKeyName": "A String", # Required. The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`. The key needs to be in the same region as where the compute resource is created.
},
"endTime": "A String", # Output only. Pipeline end time.
"error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # Output only. The error that occurred during pipeline execution. Only populated when the pipeline's state is FAILED or CANCELLED.
"code": 42, # The status code, which should be an enum value of google.rpc.Code.
"details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
{
"a_key": "", # Properties of the object. Contains field @type with type URL.
},
],
"message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
},
"jobDetail": { # The runtime detail of PipelineJob. # Output only. The details of pipeline run. Not available in the list view.
"pipelineContext": { # Instance of a general context. # Output only. The context of the pipeline.
"createTime": "A String", # Output only. Timestamp when this Context was created.
"description": "A String", # Description of the Context
"displayName": "A String", # User provided display name of the Context. May be up to 128 Unicode characters.
"etag": "A String", # An eTag used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
"labels": { # The labels with user-defined metadata to organize your Contexts. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one Context (System labels are excluded).
"a_key": "A String",
},
"metadata": { # Properties of the Context. Top level metadata keys' heading and trailing spaces will be trimmed. The size of this field should not exceed 200KB.
"a_key": "", # Properties of the object.
},
"name": "A String", # Immutable. The resource name of the Context.
"parentContexts": [ # Output only. A list of resource names of Contexts that are parents of this Context. A Context may have at most 10 parent_contexts.
"A String",
],
"schemaTitle": "A String", # The title of the schema describing the metadata. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
"schemaVersion": "A String", # The version of the schema in schema_name to use. Schema title and version is expected to be registered in earlier Create Schema calls. And both are used together as unique identifiers to identify schemas within the local metadata store.
"updateTime": "A String", # Output only. Timestamp when this Context was last updated.
},
"pipelineRunContext": { # Instance of a general context. # Output only. The context of the current pipeline run.
"createTime": "A String", # Output only. Timestamp when this Context was created.