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update_data_automation_project

update_data_automation_project(
    project_arn: DataAutomationProjectArn,
    standard_output_configuration: StandardOutputConfiguration,
    *,
    config_overrides: Optional[BedrockDataAutomationClientConfig] = None,
    project_stage: Optional[DataAutomationProjectStage] = None,
    project_description: Optional[DataAutomationProjectDescription] = None,
    custom_output_configuration: Optional[CustomOutputConfiguration] = None,
    override_configuration: Optional[OverrideConfiguration] = None,
    data_automation_library_configuration: Optional[
        DataAutomationLibraryConfiguration
    ] = None,
    encryption_configuration: Optional[EncryptionConfiguration] = None,
) -> UpdateDataAutomationProjectResponse

Updates an existing Amazon Bedrock Data Automation Project

Parameters:

Raises:

Source code in docs_src/capo_bedrock_data_automation/_services/bedrock_data_automation.py
def update_data_automation_project(
    self,
    project_arn: "capo_bedrock_data_automation.types.data_automation_project_arn.DataAutomationProjectArn",
    standard_output_configuration: "capo_bedrock_data_automation.types.standard_output_configuration.StandardOutputConfiguration",
    *,
    config_overrides: Optional[BedrockDataAutomationClientConfig] = None,
    project_stage: Optional[
        "capo_bedrock_data_automation.types.data_automation_project_stage.DataAutomationProjectStage"
    ] = None,
    project_description: Optional[
        "capo_bedrock_data_automation.types.data_automation_project_description.DataAutomationProjectDescription"
    ] = None,
    custom_output_configuration: Optional[
        "capo_bedrock_data_automation.types.custom_output_configuration.CustomOutputConfiguration"
    ] = None,
    override_configuration: Optional[
        "capo_bedrock_data_automation.types.override_configuration.OverrideConfiguration"
    ] = None,
    data_automation_library_configuration: Optional[
        "capo_bedrock_data_automation.types.data_automation_library_configuration.DataAutomationLibraryConfiguration"
    ] = None,
    encryption_configuration: Optional[
        "capo_bedrock_data_automation.types.encryption_configuration.EncryptionConfiguration"
    ] = None,
) -> "capo_bedrock_data_automation.types.update_data_automation_project_response.UpdateDataAutomationProjectResponse":
    """Updates an existing Amazon Bedrock Data Automation Project

    Args:
        project_arn: ARN generated at the server side when a DataAutomationProject is created

    Raises:
        capo_bedrock_data_automation.errors.access_denied_exception.AccessDeniedException: This exception is thrown when a request is denied per access permissions
        capo_bedrock_data_automation.errors.conflict_exception.ConflictException: This exception is thrown when there is a conflict performing an operation
        capo_bedrock_data_automation.errors.internal_server_exception.InternalServerException: This exception is thrown if there was an unexpected error during processing of request
        capo_bedrock_data_automation.errors.resource_not_found_exception.ResourceNotFoundException: This exception is thrown when a resource referenced by the operation does not exist
        capo_bedrock_data_automation.errors.service_quota_exceeded_exception.ServiceQuotaExceededException: This exception is thrown when a request is made beyond the service quota
        capo_bedrock_data_automation.errors.throttling_exception.ThrottlingException: This exception is thrown when the number of requests exceeds the limit
        capo_bedrock_data_automation.errors.validation_exception.ValidationException: This exception is thrown when the request's input validation fails
        capo_bedrock_data_automation.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_bedrock_data_automation.types.update_data_automation_project_request.UpdateDataAutomationProjectRequest]",
    ) -> OperationResponse[
        "capo_bedrock_data_automation.types.update_data_automation_project_response.UpdateDataAutomationProjectResponse"
    ]:
        import capo_bedrock_data_automation._operations.amazon_bedrock_keystone_build_time_service.update_data_automation_project

        output, http_response = (
            capo_bedrock_data_automation._operations.amazon_bedrock_keystone_build_time_service.update_data_automation_project.update_data_automation_project(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    def _redact_input(
        input_: "capo_bedrock_data_automation.types.update_data_automation_project_request.UpdateDataAutomationProjectRequest",
    ) -> dict[str, Any]:
        import capo_bedrock_data_automation.types.update_data_automation_project_request

        return capo_bedrock_data_automation.types.update_data_automation_project_request.redact_sensitive(
            input_
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("UpdateDataAutomationProject", redact_input=_redact_input),
    )
    input_: capo_bedrock_data_automation.types.update_data_automation_project_request.UpdateDataAutomationProjectRequest = {
        "project_arn": project_arn,
        "standard_output_configuration": standard_output_configuration,
    }
    if project_stage is not None:
        input_["project_stage"] = project_stage
    if project_description is not None:
        input_["project_description"] = project_description
    if custom_output_configuration is not None:
        input_["custom_output_configuration"] = custom_output_configuration
    if override_configuration is not None:
        input_["override_configuration"] = override_configuration
    if data_automation_library_configuration is not None:
        input_["data_automation_library_configuration"] = (
            data_automation_library_configuration
        )
    if encryption_configuration is not None:
        input_["encryption_configuration"] = encryption_configuration

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