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get_metadata_generation_run

get_metadata_generation_run(
    domain_identifier: DomainId,
    identifier: MetadataGenerationRunIdentifier,
    *,
    config_overrides: Optional[DataZoneClientConfig] = None,
    type: Optional[MetadataGenerationRunType] = None,
) -> GetMetadataGenerationRunOutput

Gets a metadata generation run in Amazon DataZone.

Prerequisites:

  • Valid domain and run identifier.

  • The metadata generation run must exist.

  • User must have read access to the metadata run.

Parameters:

Raises:

Source code in docs_src/capo_datazone/_services/data_zone.py
def get_metadata_generation_run(
    self,
    domain_identifier: "capo_datazone.types.domain_id.DomainId",
    identifier: "capo_datazone.types.metadata_generation_run_identifier.MetadataGenerationRunIdentifier",
    *,
    config_overrides: Optional[DataZoneClientConfig] = None,
    type: Optional[
        "capo_datazone.types.metadata_generation_run_type.MetadataGenerationRunType"
    ] = None,
) -> "capo_datazone.types.get_metadata_generation_run_output.GetMetadataGenerationRunOutput":
    """<p>Gets a metadata generation run in Amazon DataZone.</p> <p>Prerequisites:</p> <ul> <li> <p>Valid domain and run identifier. </p> </li> <li> <p>The metadata generation run must exist.</p> </li> <li> <p>User must have read access to the metadata run.</p> </li> </ul>

    Args:
        domain_identifier: <p>The ID of the Amazon DataZone domain the metadata generation run of which you want to get.</p>
        identifier: <p>The identifier of the metadata generation run.</p>
        type: <p>The type of the metadata generation run.</p>

    Raises:
        capo_datazone.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient access to perform this action.</p>
        capo_datazone.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling.</p>
        capo_datazone.errors.unauthorized_exception.UnauthorizedException: <p>You do not have permission to perform this action.</p>
        capo_datazone.errors.internal_server_exception.InternalServerException: <p>The request has failed because of an unknown error, exception or failure.</p>
        capo_datazone.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource cannot be found.</p>
        capo_datazone.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by the Amazon Web Services service.</p>
        capo_datazone.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_datazone.types.get_metadata_generation_run_input.GetMetadataGenerationRunInput]",
    ) -> OperationResponse[
        "capo_datazone.types.get_metadata_generation_run_output.GetMetadataGenerationRunOutput"
    ]:
        import capo_datazone._operations.data_zone.get_metadata_generation_run

        output, http_response = (
            capo_datazone._operations.data_zone.get_metadata_generation_run.get_metadata_generation_run(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("GetMetadataGenerationRun")
    )
    input_: capo_datazone.types.get_metadata_generation_run_input.GetMetadataGenerationRunInput = {
        "domain_identifier": domain_identifier,
        "identifier": identifier,
    }
    if type is not None:
        input_["type"] = type

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output