create_pipeline ¶

def create_pipeline(
    self,
    name: "capo_data_pipeline.types.id.id",
    unique_id: "capo_data_pipeline.types.id.id",
    *,
    config_overrides: Optional[DataPipelineClientConfig] = None,
    description: Optional["capo_data_pipeline.types.string.string"] = None,
    tags: Optional["capo_data_pipeline.types.tag_list.tagList"] = None,
) -> "capo_data_pipeline.types.create_pipeline_output.CreatePipelineOutput":
    """<p>Creates a new, empty pipeline. Use <a>PutPipelineDefinition</a> to populate the pipeline.</p> <examples> <request> POST / HTTP/1.1 Content-Type: application/x-amz-json-1.1 X-Amz-Target: DataPipeline.CreatePipeline Content-Length: 91 Host: datapipeline.us-east-1.amazonaws.com X-Amz-Date: Mon, 12 Nov 2012 17:49:52 GMT Authorization: AuthParams {"name": "myPipeline", "uniqueId": "123456789", "description": "This is my first pipeline"} </request> <response> HTTP/1.1 200 x-amzn-RequestId: b16911ce-0774-11e2-af6f-6bc7a6be60d9 Content-Type: application/x-amz-json-1.1 Content-Length: 40 Date: Mon, 12 Nov 2012 17:50:53 GMT {"pipelineId": "df-06372391ZG65EXAMPLE"} </response> </examples>

    Args:
        name: <p>The name for the pipeline. You can use the same name for multiple pipelines associated with your AWS account, because AWS Data Pipeline assigns each pipeline a unique pipeline identifier.</p>
        unique_id: <p>A unique identifier. This identifier is not the same as the pipeline identifier assigned by AWS Data Pipeline. You are responsible for defining the format and ensuring the uniqueness of this identifier. You use this parameter to ensure idempotency during repeated calls to <code>CreatePipeline</code>. For example, if the first call to <code>CreatePipeline</code> does not succeed, you can pass in the same unique identifier and pipeline name combination on a subsequent call to <code>CreatePipeline</code>. <code>CreatePipeline</code> ensures that if a pipeline already exists with the same name and unique identifier, a new pipeline is not created. Instead, you'll receive the pipeline identifier from the previous attempt. The uniqueness of the name and unique identifier combination is scoped to the AWS account or IAM user credentials.</p>
        description: <p>The description for the pipeline.</p>
        tags: <p>A list of tags to associate with the pipeline at creation. Tags let you control access to pipelines. For more information, see <a href="http://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/dp-control-access.html">Controlling User Access to Pipelines</a> in the <i>AWS Data Pipeline Developer Guide</i>.</p>

    Raises:
        capo_data_pipeline.errors.internal_service_error.InternalServiceError: <p>An internal service error occurred.</p>
        capo_data_pipeline.errors.invalid_request_exception.InvalidRequestException: <p>The request was not valid. Verify that your request was properly formatted, that the signature was generated with the correct credentials, and that you haven't exceeded any of the service limits for your account.</p>
        capo_data_pipeline.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_data_pipeline.types.create_pipeline_input.CreatePipelineInput]",
    ) -> OperationResponse[
        "capo_data_pipeline.types.create_pipeline_output.CreatePipelineOutput"
    ]:
        import capo_data_pipeline._operations.data_pipeline.create_pipeline

        output, http_response = (
            capo_data_pipeline._operations.data_pipeline.create_pipeline.create_pipeline(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("CreatePipeline")
    )
    input_: capo_data_pipeline.types.create_pipeline_input.CreatePipelineInput = {
        "name": name,
        "unique_id": unique_id,
    }
    if description is not None:
        input_["description"] = description
    if tags is not None:
        input_["tags"] = tags

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