chore: Update discovery artifacts (#2341)

## Deleted keys were detected in the following stable discovery artifacts: aiplatform v1 https://github.com/googleapis/google-api-python-client/commit/1e362d605489cc59d732182d8492e9f572f86dcb storage v1 https://github.com/googleapis/google-api-python-client/commit/6112756278b16a83969e3d85c5774a78189ac3a5 walletobjects v1 https://github.com/googleapis/google-api-python-client/commit/cb7e2cd44b43f6ffec5f3012cfe3a2764e544ae0 ## Deleted keys were detected in the following pre-stable discovery artifacts: aiplatform v1beta1 https://github.com/googleapis/google-api-python-client/commit/1e362d605489cc59d732182d8492e9f572f86dcb apphub v1alpha https://github.com/googleapis/google-api-python-client/commit/f4a2fb0f791f1514fd9d04ca654554c4b39d6114 language v1beta2 https://github.com/googleapis/google-api-python-client/commit/9f28a17345a6a1242d3246746dac5fad709dfc15 ## Discovery Artifact Change Summary: feat(aiplatform): update the api https://github.com/googleapis/google-api-python-client/commit/1e362d605489cc59d732182d8492e9f572f86dcb feat(androidmanagement): update the api https://github.com/googleapis/google-api-python-client/commit/6ccd5eb4557f7eff51066c8bfe8142dcceff783a feat(androidpublisher): update the api https://github.com/googleapis/google-api-python-client/commit/8b4463dce15d49f6fe47e5770ac8e06965604425 feat(appengine): update the api https://github.com/googleapis/google-api-python-client/commit/3117b7caf3f7c6e03240d71ad0b5c46766df6043 feat(apphub): update the api https://github.com/googleapis/google-api-python-client/commit/f4a2fb0f791f1514fd9d04ca654554c4b39d6114 feat(binaryauthorization): update the api https://github.com/googleapis/google-api-python-client/commit/c79e1a7fb20c1383dbf69e9d8616665bc6d39a59 feat(blockchainnodeengine): update the api https://github.com/googleapis/google-api-python-client/commit/74bab4149c2d7395ca2907d0a2537a2bed16dd50 feat(books): update the api https://github.com/googleapis/google-api-python-client/commit/b795a1f63b0fd980a7e251a7c9ea9abaef06b764 feat(certificatemanager): update the api https://github.com/googleapis/google-api-python-client/commit/ad529ada9d39c746cc72dcc1630aac83b3489f22 feat(connectors): update the api https://github.com/googleapis/google-api-python-client/commit/c0704737c817915adb08b36ab5355250660b2003 feat(container): update the api https://github.com/googleapis/google-api-python-client/commit/0dd50c6513e973bb8e904b7f99212936d23075e7 feat(datacatalog): update the api https://github.com/googleapis/google-api-python-client/commit/f9d677883690c7d9ce89c67b4da0220c7781ce4b feat(dataproc): update the api https://github.com/googleapis/google-api-python-client/commit/4119fe5f3c97f5470c690a76ab1fa2c7c2055159 feat(datastore): update the api https://github.com/googleapis/google-api-python-client/commit/562f22daf2ee0613a37db2c105a69292ccf4eff9 feat(datastream): update the api https://github.com/googleapis/google-api-python-client/commit/0abc7fc4ac447d4bee1a3e4a0b02deb7330b74c8 feat(firestore): update the api https://github.com/googleapis/google-api-python-client/commit/4d34d77f7818a3779d11dee9b2268d90c51325ad feat(gkehub): update the api https://github.com/googleapis/google-api-python-client/commit/25142e0007a79c0e293893ee6b256ad583cf2a55 feat(language): update the api https://github.com/googleapis/google-api-python-client/commit/9f28a17345a6a1242d3246746dac5fad709dfc15 feat(localservices): update the api https://github.com/googleapis/google-api-python-client/commit/ae61a93829cdbc69508200084770bca7043a081b feat(networkservices): update the api https://github.com/googleapis/google-api-python-client/commit/d541c9fda56414abd090880f70ebdcc269f56b72 feat(securitycenter): update the api https://github.com/googleapis/google-api-python-client/commit/935614bbae43e9854dd6f534928877fdbcbb2d51 feat(storage): update the api https://github.com/googleapis/google-api-python-client/commit/6112756278b16a83969e3d85c5774a78189ac3a5 feat(testing): update the api https://github.com/googleapis/google-api-python-client/commit/95e0c1d57cbc6b65b86877632d6fb081f629c2e1 feat(transcoder): update the api https://github.com/googleapis/google-api-python-client/commit/64887af8dba8ffb25378784c79b793613bc2055a feat(walletobjects): update the api https://github.com/googleapis/google-api-python-client/commit/cb7e2cd44b43f6ffec5f3012cfe3a2764e544ae0 feat(workspaceevents): update the api https://github.com/googleapis/google-api-python-client/commit/471f7c53cc33b77a907ee41da1f8b74b0d8847cb feat(youtube): update the api https://github.com/googleapis/google-api-python-client/commit/13f8337f3ee3b8c99753ec1207b1c29e30e95512
googleapis · Feb 20, 2024 · 3697371 · 3697371
1 parent 630408d
commit 3697371
Show file tree

Hide file tree

Showing 500 changed files with 26,560 additions and 2,809 deletions.
diff --git a/docs/dyn/aiplatform_v1.projects.locations.endpoints.html b/docs/dyn/aiplatform_v1.projects.locations.endpoints.html
diff --git a/...n/aiplatform_v1.projects.locations.featureOnlineStores.featureViews.featureViewSyncs.html b/...n/aiplatform_v1.projects.locations.featureOnlineStores.featureViews.featureViewSyncs.html
@@ -122,6 +122,10 @@ <h3>Method Details</h3>
     &quot;endTime&quot;: &quot;A String&quot;, # Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end.
     &quot;startTime&quot;: &quot;A String&quot;, # Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start.
   },
+  &quot;syncSummary&quot;: { # Summary from the Sync job. For continuous syncs, the summary is updated periodically. For batch syncs, it gets updated on completion of the sync. # Output only. Summary of the sync job.
+    &quot;rowSynced&quot;: &quot;A String&quot;, # Output only. Total number of rows synced.
+    &quot;totalSlot&quot;: &quot;A String&quot;, # Output only. BigQuery slot milliseconds consumed for the sync job.
+  },
 }</pre>
 </div>
 
@@ -161,6 +165,10 @@ <h3>Method Details</h3>
         &quot;endTime&quot;: &quot;A String&quot;, # Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end.
         &quot;startTime&quot;: &quot;A String&quot;, # Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start.
       },
+      &quot;syncSummary&quot;: { # Summary from the Sync job. For continuous syncs, the summary is updated periodically. For batch syncs, it gets updated on completion of the sync. # Output only. Summary of the sync job.
+        &quot;rowSynced&quot;: &quot;A String&quot;, # Output only. Total number of rows synced.
+        &quot;totalSlot&quot;: &quot;A String&quot;, # Output only. BigQuery slot milliseconds consumed for the sync job.
+      },
     },
   ],
   &quot;nextPageToken&quot;: &quot;A String&quot;, # A token, which can be sent as ListFeatureViewSyncsRequest.page_token to retrieve the next page. If this field is omitted, there are no subsequent pages.

diff --git a/docs/dyn/aiplatform_v1.projects.locations.featureOnlineStores.featureViews.html b/docs/dyn/aiplatform_v1.projects.locations.featureOnlineStores.featureViews.html
@@ -147,6 +147,7 @@ <h3>Method Details</h3>
         ],
       },
     ],
+    &quot;projectNumber&quot;: &quot;A String&quot;, # Optional. The project number of the parent project of the Feature Groups.
   },
   &quot;labels&quot;: { # Optional. The labels with user-defined metadata to organize your FeatureViews. 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 on and examples of labels. No more than 64 user labels can be associated with one FeatureOnlineStore(System labels are excluded).&quot; System reserved label keys are prefixed with &quot;aiplatform.googleapis.com/&quot; and are immutable.
     &quot;a_key&quot;: &quot;A String&quot;,
@@ -324,6 +325,7 @@ <h3>Method Details</h3>
         ],
       },
     ],
+    &quot;projectNumber&quot;: &quot;A String&quot;, # Optional. The project number of the parent project of the Feature Groups.
   },
   &quot;labels&quot;: { # Optional. The labels with user-defined metadata to organize your FeatureViews. 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 on and examples of labels. No more than 64 user labels can be associated with one FeatureOnlineStore(System labels are excluded).&quot; System reserved label keys are prefixed with &quot;aiplatform.googleapis.com/&quot; and are immutable.
     &quot;a_key&quot;: &quot;A String&quot;,
@@ -374,6 +376,7 @@ <h3>Method Details</h3>
             ],
           },
         ],
+        &quot;projectNumber&quot;: &quot;A String&quot;, # Optional. The project number of the parent project of the Feature Groups.
       },
       &quot;labels&quot;: { # Optional. The labels with user-defined metadata to organize your FeatureViews. 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 on and examples of labels. No more than 64 user labels can be associated with one FeatureOnlineStore(System labels are excluded).&quot; System reserved label keys are prefixed with &quot;aiplatform.googleapis.com/&quot; and are immutable.
         &quot;a_key&quot;: &quot;A String&quot;,
@@ -430,6 +433,7 @@ <h3>Method Details</h3>
         ],
       },
     ],
+    &quot;projectNumber&quot;: &quot;A String&quot;, # Optional. The project number of the parent project of the Feature Groups.
   },
   &quot;labels&quot;: { # Optional. The labels with user-defined metadata to organize your FeatureViews. 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 on and examples of labels. No more than 64 user labels can be associated with one FeatureOnlineStore(System labels are excluded).&quot; System reserved label keys are prefixed with &quot;aiplatform.googleapis.com/&quot; and are immutable.
     &quot;a_key&quot;: &quot;A String&quot;,
@@ -441,7 +445,7 @@ <h3>Method Details</h3>
   &quot;updateTime&quot;: &quot;A String&quot;, # Output only. Timestamp when this FeatureView was last updated.
 }
 
-  updateMask: string, Field mask is used to specify the fields to be overwritten in the FeatureView resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then only the non-empty fields present in the request will be overwritten. Set the update_mask to `*` to override all fields. Updatable fields: * `labels`
+  updateMask: string, Field mask is used to specify the fields to be overwritten in the FeatureView resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then only the non-empty fields present in the request will be overwritten. Set the update_mask to `*` to override all fields. Updatable fields: * `labels` * `serviceAgentType`
   x__xgafv: string, V1 error format.
     Allowed values
       1 - v1 error format

diff --git a/docs/dyn/aiplatform_v1.projects.locations.pipelineJobs.html b/docs/dyn/aiplatform_v1.projects.locations.pipelineJobs.html
@@ -86,7 +86,7 @@ <h2>Instance Methods</h2>
   <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, preflightValidations=None, x__xgafv=None)</a></code></p>
+  <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>
@@ -131,7 +131,7 @@ <h3>Method Details</h3>
 </div>
 
 <div class="method">
-    <code class="details" id="create">create(parent, body=None, pipelineJobId=None, preflightValidations=None, x__xgafv=None)</code>
+    <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:
@@ -325,11 +325,6 @@ <h3>Method Details</h3>
     &quot;A String&quot;,
   ],
   &quot;runtimeConfig&quot;: { # The runtime config of a PipelineJob. # Runtime config of the pipeline.
-    &quot;defaultRuntime&quot;: { # The default runtime for the PipelineJob. # Optional. The default runtime for the PipelineJob. If not provided, Vertex Custom Job is used as the runtime. For Vertex Custom Job, please refer to https://cloud.google.com/vertex-ai/docs/training/overview
-      &quot;persistentResourceRuntimeDetail&quot;: { # Persistent resource based runtime detail. For more information, refer to https://cloud.google.com/vertex-ai/docs/training/persistent-resource-overview # Persistent resource based runtime detail.
-        &quot;persistentResourceName&quot;: &quot;A String&quot;, # Persistent resource name. Format: `projects/{project}/locations/{location}/persistentResources/{persistent_resource}`
-      },
-    },
     &quot;failurePolicy&quot;: &quot;A String&quot;, # 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.
     &quot;gcsOutputDirectory&quot;: &quot;A String&quot;, # 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.
     &quot;inputArtifacts&quot;: { # The runtime artifacts of the PipelineJob. The key will be the input artifact name and the value would be one of the InputArtifact.
@@ -360,7 +355,6 @@ <h3>Method Details</h3>
 }
 
   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-/`.
-  preflightValidations: boolean, Optional. Whether to do component level validations before job creation. Currently we only support Google First Party Component/Pipelines.
   x__xgafv: string, V1 error format.
     Allowed values
       1 - v1 error format
@@ -555,11 +549,6 @@ <h3>Method Details</h3>
     &quot;A String&quot;,
   ],
   &quot;runtimeConfig&quot;: { # The runtime config of a PipelineJob. # Runtime config of the pipeline.
-    &quot;defaultRuntime&quot;: { # The default runtime for the PipelineJob. # Optional. The default runtime for the PipelineJob. If not provided, Vertex Custom Job is used as the runtime. For Vertex Custom Job, please refer to https://cloud.google.com/vertex-ai/docs/training/overview
-      &quot;persistentResourceRuntimeDetail&quot;: { # Persistent resource based runtime detail. For more information, refer to https://cloud.google.com/vertex-ai/docs/training/persistent-resource-overview # Persistent resource based runtime detail.
-        &quot;persistentResourceName&quot;: &quot;A String&quot;, # Persistent resource name. Format: `projects/{project}/locations/{location}/persistentResources/{persistent_resource}`
-      },
-    },
     &quot;failurePolicy&quot;: &quot;A String&quot;, # 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.
     &quot;gcsOutputDirectory&quot;: &quot;A String&quot;, # 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.
     &quot;inputArtifacts&quot;: { # The runtime artifacts of the PipelineJob. The key will be the input artifact name and the value would be one of the InputArtifact.
@@ -825,11 +814,6 @@ <h3>Method Details</h3>
     &quot;A String&quot;,
   ],
   &quot;runtimeConfig&quot;: { # The runtime config of a PipelineJob. # Runtime config of the pipeline.
-    &quot;defaultRuntime&quot;: { # The default runtime for the PipelineJob. # Optional. The default runtime for the PipelineJob. If not provided, Vertex Custom Job is used as the runtime. For Vertex Custom Job, please refer to https://cloud.google.com/vertex-ai/docs/training/overview
-      &quot;persistentResourceRuntimeDetail&quot;: { # Persistent resource based runtime detail. For more information, refer to https://cloud.google.com/vertex-ai/docs/training/persistent-resource-overview # Persistent resource based runtime detail.
-        &quot;persistentResourceName&quot;: &quot;A String&quot;, # Persistent resource name. Format: `projects/{project}/locations/{location}/persistentResources/{persistent_resource}`
-      },
-    },
     &quot;failurePolicy&quot;: &quot;A String&quot;, # 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.
     &quot;gcsOutputDirectory&quot;: &quot;A String&quot;, # 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.
     &quot;inputArtifacts&quot;: { # The runtime artifacts of the PipelineJob. The key will be the input artifact name and the value would be one of the InputArtifact.
@@ -1068,11 +1052,6 @@ <h3>Method Details</h3>
         &quot;A String&quot;,
       ],
       &quot;runtimeConfig&quot;: { # The runtime config of a PipelineJob. # Runtime config of the pipeline.
-        &quot;defaultRuntime&quot;: { # The default runtime for the PipelineJob. # Optional. The default runtime for the PipelineJob. If not provided, Vertex Custom Job is used as the runtime. For Vertex Custom Job, please refer to https://cloud.google.com/vertex-ai/docs/training/overview
-          &quot;persistentResourceRuntimeDetail&quot;: { # Persistent resource based runtime detail. For more information, refer to https://cloud.google.com/vertex-ai/docs/training/persistent-resource-overview # Persistent resource based runtime detail.
-            &quot;persistentResourceName&quot;: &quot;A String&quot;, # Persistent resource name. Format: `projects/{project}/locations/{location}/persistentResources/{persistent_resource}`
-          },
-        },
         &quot;failurePolicy&quot;: &quot;A String&quot;, # 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.
         &quot;gcsOutputDirectory&quot;: &quot;A String&quot;, # 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.
         &quot;inputArtifacts&quot;: { # The runtime artifacts of the PipelineJob. The key will be the input artifact name and the value would be one of the InputArtifact.