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PipelineServiceAsyncClient(*, credentials: google.auth.credentials.Credentials = None, transport: Union[str, google.cloud.aiplatform_v1beta1.services.pipeline_service.transports.base.PipelineServiceTransport] = 'grpc_asyncio', client_options: <module 'google.api_core.client_options' from '/workspace/python-aiplatform/.nox/docfx/lib/python3.8/site-packages/google/api_core/client_options.py'> = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)
A service for creating and managing AI Platform's pipelines.
Inheritance
builtins.object > PipelineServiceAsyncClientProperties
transport
Return the transport used by the client instance.
Type | Description |
PipelineServiceTransport | The transport used by the client instance. |
Methods
PipelineServiceAsyncClient
PipelineServiceAsyncClient(*, credentials: google.auth.credentials.Credentials = None, transport: Union[str, google.cloud.aiplatform_v1beta1.services.pipeline_service.transports.base.PipelineServiceTransport] = 'grpc_asyncio', client_options: <module 'google.api_core.client_options' from '/workspace/python-aiplatform/.nox/docfx/lib/python3.8/site-packages/google/api_core/client_options.py'> = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)
Instantiate the pipeline service client.
Name | Description |
credentials |
Optional[google.auth.credentials.Credentials]
The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment. |
transport |
Union[str, `.PipelineServiceTransport`]
The transport to use. If set to None, a transport is chosen automatically. |
client_options |
ClientOptions
Custom options for the client. It won't take effect if a |
Type | Description |
google.auth.exceptions.MutualTlsChannelError | If mutual TLS transport creation failed for any reason. |
artifact_path
artifact_path(project: str, location: str, metadata_store: str, artifact: str)
Return a fully-qualified artifact string.
cancel_pipeline_job
cancel_pipeline_job(request: Optional[google.cloud.aiplatform_v1beta1.types.pipeline_service.CancelPipelineJobRequest] = None, *, name: Optional[str] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
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
xref_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
xref_PipelineJob.error
value with a google.rpc.Status.code][google.rpc.Status.code]
of
1, corresponding to Code.CANCELLED
, and
xref_PipelineJob.state
is set to CANCELLED
.
Name | Description |
request |
CancelPipelineJobRequest
The request object. Request message for PipelineService.CancelPipelineJob. |
name |
`str`
Required. The name of the PipelineJob to cancel. Format: |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
cancel_training_pipeline
cancel_training_pipeline(request: Optional[google.cloud.aiplatform_v1beta1.types.pipeline_service.CancelTrainingPipelineRequest] = None, *, name: Optional[str] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Cancels a TrainingPipeline. Starts asynchronous cancellation on
the TrainingPipeline. The server makes a best effort to cancel
the pipeline, but success is not guaranteed. Clients can use
xref_PipelineService.GetTrainingPipeline
or other methods to check whether the cancellation succeeded or
whether the pipeline completed despite cancellation. On
successful cancellation, the TrainingPipeline is not deleted;
instead it becomes a pipeline with a
xref_TrainingPipeline.error
value with a google.rpc.Status.code][google.rpc.Status.code]
of
1, corresponding to Code.CANCELLED
, and
xref_TrainingPipeline.state
is set to CANCELLED
.
Name | Description |
request |
CancelTrainingPipelineRequest
The request object. Request message for PipelineService.CancelTrainingPipeline. |
name |
`str`
Required. The name of the TrainingPipeline to cancel. Format: |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
common_billing_account_path
common_billing_account_path(billing_account: str)
Return a fully-qualified billing_account string.
common_folder_path
common_folder_path(folder: str)
Return a fully-qualified folder string.
common_location_path
common_location_path(project: str, location: str)
Return a fully-qualified location string.
common_organization_path
common_organization_path(organization: str)
Return a fully-qualified organization string.
common_project_path
common_project_path(project: str)
Return a fully-qualified project string.
context_path
context_path(project: str, location: str, metadata_store: str, context: str)
Return a fully-qualified context string.
create_pipeline_job
create_pipeline_job(request: Optional[google.cloud.aiplatform_v1beta1.types.pipeline_service.CreatePipelineJobRequest] = None, *, parent: Optional[str] = None, pipeline_job: Optional[google.cloud.aiplatform_v1beta1.types.pipeline_job.PipelineJob] = None, pipeline_job_id: Optional[str] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Creates a PipelineJob. A PipelineJob will run immediately when created.