list_optimization_jobs ¶

def list_optimization_jobs(
    self,
    *,
    config_overrides: Optional[SageMakerClientConfig] = None,
    next_token: Optional["capo_sagemaker.types.next_token.NextToken"] = None,
    max_results: Optional["capo_sagemaker.types.max_results.MaxResults"] = None,
    creation_time_after: Optional[
        "capo_sagemaker.types.creation_time.CreationTime"
    ] = None,
    creation_time_before: Optional[
        "capo_sagemaker.types.creation_time.CreationTime"
    ] = None,
    last_modified_time_after: Optional[
        "capo_sagemaker.types.last_modified_time.LastModifiedTime"
    ] = None,
    last_modified_time_before: Optional[
        "capo_sagemaker.types.last_modified_time.LastModifiedTime"
    ] = None,
    optimization_contains: Optional[
        "capo_sagemaker.types.name_contains.NameContains"
    ] = None,
    name_contains: Optional[
        "capo_sagemaker.types.name_contains.NameContains"
    ] = None,
    status_equals: Optional[
        "capo_sagemaker.types.optimization_job_status.OptimizationJobStatus"
    ] = None,
    sort_by: Optional[
        "capo_sagemaker.types.list_optimization_jobs_sort_by.ListOptimizationJobsSortBy"
    ] = None,
    sort_order: Optional["capo_sagemaker.types.sort_order.SortOrder"] = None,
) -> "capo_sagemaker.types.list_optimization_jobs_response.ListOptimizationJobsResponse":
    """<p>Lists the optimization jobs in your account and their properties.</p>

    Args:
        next_token: <p>A token that you use to get the next set of results following a truncated response. If the response to the previous request was truncated, that response provides the value for this token.</p>
        max_results: <p>The maximum number of optimization jobs to return in the response. The default is 50.</p>
        creation_time_after: <p>Filters the results to only those optimization jobs that were created after the specified time.</p>
        creation_time_before: <p>Filters the results to only those optimization jobs that were created before the specified time.</p>
        last_modified_time_after: <p>Filters the results to only those optimization jobs that were updated after the specified time.</p>
        last_modified_time_before: <p>Filters the results to only those optimization jobs that were updated before the specified time.</p>
        optimization_contains: <p>Filters the results to only those optimization jobs that apply the specified optimization techniques. You can specify either <code>Quantization</code> or <code>Compilation</code>.</p>
        name_contains: <p>Filters the results to only those optimization jobs with a name that contains the specified string.</p>
        status_equals: <p>Filters the results to only those optimization jobs with the specified status.</p>
        sort_by: <p>The field by which to sort the optimization jobs in the response. The default is <code>CreationTime</code> </p>
        sort_order: <p>The sort order for results. The default is <code>Ascending</code> </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_optimization_jobs_request.ListOptimizationJobsRequest]",
    ) -> OperationResponse[
        "capo_sagemaker.types.list_optimization_jobs_response.ListOptimizationJobsResponse"
    ]:
        import capo_sagemaker._operations.sage_maker.list_optimization_jobs

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

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListOptimizationJobs")
    )
    input_: capo_sagemaker.types.list_optimization_jobs_request.ListOptimizationJobsRequest = {}
    if next_token is not None:
        input_["next_token"] = next_token
    if max_results is not None:
        input_["max_results"] = max_results
    if creation_time_after is not None:
        input_["creation_time_after"] = creation_time_after
    if creation_time_before is not None:
        input_["creation_time_before"] = creation_time_before
    if last_modified_time_after is not None:
        input_["last_modified_time_after"] = last_modified_time_after
    if last_modified_time_before is not None:
        input_["last_modified_time_before"] = last_modified_time_before
    if optimization_contains is not None:
        input_["optimization_contains"] = optimization_contains
    if name_contains is not None:
        input_["name_contains"] = name_contains
    if status_equals is not None:
        input_["status_equals"] = status_equals
    if sort_by is not None:
        input_["sort_by"] = sort_by
    if sort_order is not None:
        input_["sort_order"] = sort_order

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