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list_pipelines

list_pipelines(
    *,
    config_overrides: Optional[SageMakerClientConfig] = None,
    pipeline_name_prefix: Optional[PipelineName] = None,
    created_after: Optional[Timestamp] = None,
    created_before: Optional[Timestamp] = None,
    sort_by: Optional[SortPipelinesBy] = None,
    sort_order: Optional[SortOrder] = None,
    next_token: Optional[NextToken] = None,
    max_results: Optional[MaxResults] = None,
) -> ListPipelinesResponse

Gets a list of pipelines.

Parameters:

  • pipeline_name_prefix (Optional[PipelineName], default: None ) –

    The prefix of the pipeline name.

  • created_after (Optional[Timestamp], default: None ) –

    A filter that returns the pipelines that were created after a specified time.

  • created_before (Optional[Timestamp], default: None ) –

    A filter that returns the pipelines that were created before a specified time.

  • sort_by (Optional[SortPipelinesBy], default: None ) –

    The field by which to sort results. The default is CreatedTime.

  • sort_order (Optional[SortOrder], default: None ) –

    The sort order for results.

  • next_token (Optional[NextToken], default: None ) –

    If the result of the previous ListPipelines request was truncated, the response includes a NextToken. To retrieve the next set of pipelines, use the token in the next request.

  • max_results (Optional[MaxResults], default: None ) –

    The maximum number of pipelines to return in the response.

Raises:

Source code in docs_src/capo_sagemaker/_services/sage_maker.py
def list_pipelines(
    self,
    *,
    config_overrides: Optional[SageMakerClientConfig] = None,
    pipeline_name_prefix: Optional[
        "capo_sagemaker.types.pipeline_name.PipelineName"
    ] = None,
    created_after: Optional["capo_sagemaker.types.timestamp.Timestamp"] = None,
    created_before: Optional["capo_sagemaker.types.timestamp.Timestamp"] = None,
    sort_by: Optional[
        "capo_sagemaker.types.sort_pipelines_by.SortPipelinesBy"
    ] = None,
    sort_order: Optional["capo_sagemaker.types.sort_order.SortOrder"] = None,
    next_token: Optional["capo_sagemaker.types.next_token.NextToken"] = None,
    max_results: Optional["capo_sagemaker.types.max_results.MaxResults"] = None,
) -> "capo_sagemaker.types.list_pipelines_response.ListPipelinesResponse":
    """<p>Gets a list of pipelines.</p>

    Args:
        pipeline_name_prefix: <p>The prefix of the pipeline name.</p>
        created_after: <p>A filter that returns the pipelines that were created after a specified time.</p>
        created_before: <p>A filter that returns the pipelines that were created before a specified time.</p>
        sort_by: <p>The field by which to sort results. The default is <code>CreatedTime</code>.</p>
        sort_order: <p>The sort order for results.</p>
        next_token: <p>If the result of the previous <code>ListPipelines</code> request was truncated, the response includes a <code>NextToken</code>. To retrieve the next set of pipelines, use the token in the next request.</p>
        max_results: <p>The maximum number of pipelines to return in the response.</p>

    Raises:
        capo_sagemaker.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_sagemaker.types.list_pipelines_request.ListPipelinesRequest]",
    ) -> OperationResponse[
        "capo_sagemaker.types.list_pipelines_response.ListPipelinesResponse"
    ]:
        import capo_sagemaker._operations.sage_maker.list_pipelines

        output, http_response = (
            capo_sagemaker._operations.sage_maker.list_pipelines.list_pipelines(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListPipelines")
    )
    input_: capo_sagemaker.types.list_pipelines_request.ListPipelinesRequest = {}
    if pipeline_name_prefix is not None:
        input_["pipeline_name_prefix"] = pipeline_name_prefix
    if created_after is not None:
        input_["created_after"] = created_after
    if created_before is not None:
        input_["created_before"] = created_before
    if sort_by is not None:
        input_["sort_by"] = sort_by
    if sort_order is not None:
        input_["sort_order"] = sort_order
    if next_token is not None:
        input_["next_token"] = next_token
    if max_results is not None:
        input_["max_results"] = max_results

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