Class MetadataServiceClient (0.9.0)

MetadataServiceClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.aiplatform_v1beta1.services.metadata_service.transports.base.MetadataServiceTransport]] = None, client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Service for reading and writing metadata entries.

Inheritance

builtins.object > MetadataServiceClient

Properties

transport

Return the transport used by the client instance.

Returns
Type Description
MetadataServiceTransport The transport used by the client instance.

Methods

MetadataServiceClient

MetadataServiceClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.aiplatform_v1beta1.services.metadata_service.transports.base.MetadataServiceTransport]] = None, client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiate the metadata service client.

Parameters
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, MetadataServiceTransport]

The transport to use. If set to None, a transport is chosen automatically.

client_options google.api_core.client_options.ClientOptions

Custom options for the client. It won't take effect if a transport instance is provided. (1) The api_endpoint property can be used to override the default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT environment variable can also be used to override the endpoint: "always" (always use the default mTLS endpoint), "never" (always use the default regular endpoint) and "auto" (auto switch to the default mTLS endpoint if client certificate is present, this is the default value). However, the api_endpoint property takes precedence if provided. (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the client_cert_source property can be used to provide client certificate for mutual TLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not set, no client certificate will be used.

client_info google.api_core.gapic_v1.client_info.ClientInfo

The client info used to send a user-agent string along with API requests. If None, then default info will be used. Generally, you only need to set this if you're developing your own client library.

Exceptions
Type Description
google.auth.exceptions.MutualTLSChannelError If mutual TLS transport creation failed for any reason.

add_context_artifacts_and_executions

add_context_artifacts_and_executions(request: Optional[google.cloud.aiplatform_v1beta1.types.metadata_service.AddContextArtifactsAndExecutionsRequest] = None, *, context: Optional[str] = None, artifacts: Optional[Sequence[str]] = None, executions: Optional[Sequence[str]] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Adds a set of Artifacts and Executions to a Context. If any of the Artifacts or Executions have already been added to a Context, they are simply skipped.

Parameters
Name Description
request google.cloud.aiplatform_v1beta1.types.AddContextArtifactsAndExecutionsRequest

The request object. Request message for MetadataService.AddContextArtifactsAndExecutions.

context str

Required. The resource name of the Context that the Artifacts and Executions belong to. Format: projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context} This corresponds to the context field on the request instance; if request is provided, this should not be set.

artifacts Sequence[str]

The resource names of the Artifacts to attribute to the Context. This corresponds to the artifacts field on the request instance; if request is provided, this should not be set.

executions Sequence[str]

The resource names of the Executions to associate with the Context. This corresponds to the executions field on the request instance; if request is provided, this should not be set.

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.

Returns
Type Description
google.cloud.aiplatform_v1beta1.types.AddContextArtifactsAndExecutionsResponse Response message for MetadataService.AddContextArtifactsAndExecutions.

add_context_children

add_context_children(request: Optional[google.cloud.aiplatform_v1beta1.types.metadata_service.AddContextChildrenRequest] = None, *, context: Optional[str] = None, child_contexts: Optional[Sequence[str]] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Adds a set of Contexts as children to a parent Context. If any of the child Contexts have already been added to the parent Context, they are simply skipped. If this call would create a cycle or cause any Context to have more than 10 parents, the request will fail with INVALID_ARGUMENT error.

Parameters
Name Description
request google.cloud.aiplatform_v1beta1.types.AddContextChildrenRequest

The request object. Request message for MetadataService.AddContextChildren.

context str

Required. The resource name of the parent Context. Format: projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context} This corresponds to the context field on the request instance; if request is provided, this should not be set.

child_contexts Sequence[str]

The resource names of the child Contexts. This corresponds to the child_contexts field on the request instance; if request is provided, this should not be set.

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.

Returns
Type Description
google.cloud.aiplatform_v1beta1.types.AddContextChildrenResponse Response message for MetadataService.AddContextChildren.

add_execution_events

add_execution_events(request: Optional[google.cloud.aiplatform_v1beta1.types.metadata_service.AddExecutionEventsRequest] = None, *, execution: Optional[str] = None, events: Optional[Sequence[google.cloud.aiplatform_v1beta1.types.event.Event]] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Adds Events for denoting whether each Artifact was an input or output for a given Execution. If any Events already exist between the Execution and any of the specified Artifacts they are simply skipped.

Parameters
Name Description
request google.cloud.aiplatform_v1beta1.types.AddExecutionEventsRequest

The request object. Request message for MetadataService.AddExecutionEvents.

execution str

Required. The resource name of the Execution that the Events connect Artifacts with. Format: projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution} This corresponds to the execution field on the request instance; if request is provided, this should not be set.

events Sequence[google.cloud.aiplatform_v1beta1.types.Event]

The Events to create and add. This corresponds to the events field on the request instance; if request is provided, this should not be set.

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.

Returns
Type Description
google.cloud.aiplatform_v1beta1.types.AddExecutionEventsResponse Response message for MetadataService.AddExecutionEvents.

artifact_path

artifact_path(project: str, location: str, metadata_store: str, artifact: str)

Return a fully-qualified artifact string.

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_artifact

create_artifact(request: Optional[google.cloud.aiplatform_v1beta1.types.metadata_service.CreateArtifactRequest] = None, *, parent: Optional[str] = None, artifact: Optional[google.cloud.aiplatform_v1beta1.types.artifact.Artifact] = None, artifact_id: Optional[str] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Creates an Artifact associated with a MetadataStore.

Parameters
Name Description
request google.cloud.aiplatform_v1beta1.types.CreateArtifactRequest

The request object. Request message for MetadataService.CreateArtifact.

parent str

Required. The resource name of the MetadataStore where the Artifact should be created. Format: projects/{project}/locations/{location}/metadataStores/{metadatastore} This corresponds to the parent field on the request instance; if request is provided, this should not be set.

artifact google.cloud.aiplatform_v1beta1.types.Artifact

Required. The Artifact to create. This corresponds to the artifact field on the request instance; if request is provided, this should not be set.

artifact_id str

The {artifact} portion of the resource name with the format: projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact} If not provided, the Artifact's ID will be a UUID generated by the service. Must be 4-128 characters in length. Valid characters are /a-z][0-9]-/. Must be unique across all Artifacts in the parent MetadataStore. (Otherwise the request will fail with ALREADY_EXISTS, or PERMISSION_DENIED if the caller can't view the preexisting Artifact.) This corresponds to the artifact_id field on the request instance; if request is provided, this should not be set.

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.

Returns
Type Description
google.cloud.aiplatform_v1beta1.types.Artifact Instance of a general artifact.

create_context

create_context(request: Optional[google.cloud.aiplatform_v1beta1.types.metadata_service.CreateContextRequest] = None, *, parent: Optional[str] = None, context: Optional[google.cloud.aiplatform_v1beta1.types.context.Context] = None, context_id: Optional[str] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Creates a Context associated with a MetadataStore.

Parameters
Name Description
request google.cloud.aiplatform_v1beta1.types.CreateContextRequest

The request object. Request message for MetadataService.CreateContext.

parent str

R