Class Execution (1.15.0)

Version 1.15.0

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Execution(
    execution_name: str,
    *,
    metadata_store_id: str = "default",
    project: Optional[str] = None,
    location: Optional[str] = None,
    credentials: Optional[google.auth.credentials.Credentials] = None
)

Metadata Execution resource for Vertex AI

Inheritance

builtins.object > google.cloud.aiplatform.base.VertexAiResourceNoun > builtins.object > google.cloud.aiplatform.base.FutureManager > google.cloud.aiplatform.base.VertexAiResourceNounWithFutureManager > builtins.object > abc.ABC > google.cloud.aiplatform.metadata.resource._Resource > Execution

Properties

state

State of this Execution.

Methods

Execution

Execution(
    execution_name: str,
    *,
    metadata_store_id: str = "default",
    project: Optional[str] = None,
    location: Optional[str] = None,
    credentials: Optional[google.auth.credentials.Credentials] = None
)

Retrieves an existing Metadata Execution given a resource name or ID.

Parameters

Name	Description
execution_name	str Required. A fully-qualified resource name or resource ID of the Execution. Example: "projects/123/locations/us-central1/metadataStores/default/executions/my-resource". or "my-resource" when project and location are initialized or passed.
metadata_store_id	str Optional. MetadataStore to retrieve Execution from. If not set, metadata_store_id is set to "default". If execution_name is a fully-qualified resource, its metadata_store_id overrides this one.
project	str Optional. Project to retrieve the artifact from. If not set, project set in aiplatform.init will be used.
location	str Optional. Location to retrieve the Execution from. If not set, location set in aiplatform.init will be used.
credentials	auth_credentials.Credentials Optional. Custom credentials to use to retrieve this Execution. Overrides credentials set in aiplatform.init.

assign_input_artifacts

assign_input_artifacts(
    artifacts: List[
        Union[
            google.cloud.aiplatform.metadata.artifact.Artifact,
            google.cloud.aiplatform.models.Model,
        ]
    ]
)

Assigns Artifacts as inputs to this Executions.

Parameter

Name	Description
artifacts	List[Union[artifact.Artifact, models.Model]] Required. Artifacts to assign as input.

assign_output_artifacts

assign_output_artifacts(
    artifacts: List[
        Union[
            google.cloud.aiplatform.metadata.artifact.Artifact,
            google.cloud.aiplatform.models.Model,
        ]
    ]
)

Assigns Artifacts as outputs to this Executions.

Parameter

Name	Description
artifacts	List[Union[artifact.Artifact, models.Model]] Required. Artifacts to assign as input.

create

create(schema_title: str, *, state: google.cloud.aiplatform_v1.types.execution.Execution.State = <State.RUNNING: 2>, resource_id: Optional[str] = None, display_name: Optional[str] = None, schema_version: Optional[str] = None, metadata: Optional[Dict[str, Any]] = None, description: Optional[str] = None, metadata_store_id: str = 'default', project: Optional[str] = None, location: Optional[str] = None, credentials=typing.Union[google.auth.credentials.Credentials, NoneType])

Creates a new Metadata Execution.

Parameters

Name	Description
schema_title	str Required. schema_title identifies the schema title used by the Execution.
state	gca_execution.Execution.State.RUNNING Optional. State of this Execution. Defaults to RUNNING.
resource_id	str Optional. The <resource_id> portion of the Execution name with the format. This is globally unique in a metadataStore: projects/123/locations/us-central1/metadataStores/<metadata_store_id>/executions/<resource_id>.
display_name	str Optional. The user-defined name of the Execution.
schema_version	str Optional. schema_version specifies the version used by the Execution. If not set, defaults to use the latest version.
metadata	Dict Optional. Contains the metadata information that will be stored in the Execution.
description	str Optional. Describes the purpose of the Execution to be created.
metadata_store_id	str Optional. The <metadata_store_id> portion of the resource name with the format: projects/123/locations/us-central1/metadataStores/<metadata_store_id>/artifacts/<resource_id> If not provided, the MetadataStore's ID will be set to "default".
project	str Optional. Project used to create this Execution. Overrides project set in aiplatform.init.
location	str Optional. Location used to create this Execution. Overrides location set in aiplatform.init.
credentials	auth_credentials.Credentials Optional. Custom credentials used to create this Execution. Overrides credentials set in aiplatform.init.

Returns

Type	Description
Execution	Instantiated representation of the managed Metadata Execution.

create_from_base_execution_schema

create_from_base_execution_schema(
    *,
    base_execution_schema: google.cloud.aiplatform.metadata.schema.base_execution.BaseExecutionSchema,
    metadata_store_id: Optional[str] = "default",
    project: Optional[str] = None,
    location: Optional[str] = None,
    credentials: Optional[google.auth.credentials.Credentials] = None
)

Creates a new Metadata Execution.

Parameters

Name	Description
base_execution_schema	BaseExecutionSchema An instance of the BaseExecutionSchema class that can be provided instead of providing schema specific parameters.
metadata_store_id	str Optional. The <metadata_store_id> portion of the resource name with the format: projects/123/locations/us-central1/metadataStores/<metadata_store_id>/artifacts/<resource_id> If not provided, the MetadataStore's ID will be set to "default".
project	str Optional. Project used to create this Execution. Overrides project set in aiplatform.init.
location	str Optional. Location used to create this Execution. Overrides location set in aiplatform.init.
credentials	auth_credentials.Credentials Optional. Custom credentials used to create this Execution. Overrides credentials set in aiplatform.init.

Returns

Type	Description
Execution	Instantiated representation of the managed Metadata Execution.

get_input_artifacts

get_input_artifacts()

Get the input Artifacts of this Execution.

get_output_artifacts

get_output_artifacts()

Get the output Artifacts of this Execution.

update

update(
    state: Optional[google.cloud.aiplatform_v1.types.execution.Execution.State] = None,
    description: Optional[str] = None,
    metadata: Optional[Dict[str, Any]] = None,
)

Update this Execution.

Parameters

Name	Description
state	gca_execution.Execution.State Optional. State of this Execution.
description	str Optional. Describes the purpose of the Execution to be created.
metadata	Dict[str, Any Optional. Contains the metadata information that will be stored in the Execution.