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list_job_templates

list_job_templates(
    *,
    config_overrides: Optional[EMRcontainersClientConfig] = None,
    created_after: Optional[Date] = None,
    created_before: Optional[Date] = None,
    max_results: Optional[JavaInteger] = None,
    next_token: Optional[NextToken] = None,
) -> ListJobTemplatesResponse

Lists job templates based on a set of parameters. Job template stores values of StartJobRun API request in a template and can be used to start a job run. Job template allows two use cases: avoid repeating recurring StartJobRun API request values, enforcing certain values in StartJobRun API request.

Parameters:

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

    The date and time after which the job templates were created.

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

    The date and time before which the job templates were created.

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

    The maximum number of job templates that can be listed.

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

    The token for the next set of job templates to return.

Raises:

Source code in docs_src/capo_emr_containers/_services/em_rcontainers.py
def list_job_templates(
    self,
    *,
    config_overrides: Optional[EMRcontainersClientConfig] = None,
    created_after: Optional["capo_emr_containers.types.date.Date"] = None,
    created_before: Optional["capo_emr_containers.types.date.Date"] = None,
    max_results: Optional[
        "capo_emr_containers.types.java_integer.JavaInteger"
    ] = None,
    next_token: Optional["capo_emr_containers.types.next_token.NextToken"] = None,
) -> (
    "capo_emr_containers.types.list_job_templates_response.ListJobTemplatesResponse"
):
    """<p>Lists job templates based on a set of parameters. Job template stores values of StartJobRun API request in a template and can be used to start a job run. Job template allows two use cases: avoid repeating recurring StartJobRun API request values, enforcing certain values in StartJobRun API request.</p>

    Args:
        created_after: <p>The date and time after which the job templates were created.</p>
        created_before: <p> The date and time before which the job templates were created.</p>
        max_results: <p> The maximum number of job templates that can be listed.</p>
        next_token: <p> The token for the next set of job templates to return.</p>

    Raises:
        capo_emr_containers.errors.internal_server_exception.InternalServerException: <p>This is an internal server exception.</p>
        capo_emr_containers.errors.validation_exception.ValidationException: <p>There are invalid parameters in the client request.</p>
        capo_emr_containers.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_emr_containers.types.list_job_templates_request.ListJobTemplatesRequest]",
    ) -> OperationResponse[
        "capo_emr_containers.types.list_job_templates_response.ListJobTemplatesResponse"
    ]:
        import capo_emr_containers._operations.aws_chicago_web_service.list_job_templates

        output, http_response = (
            capo_emr_containers._operations.aws_chicago_web_service.list_job_templates.list_job_templates(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    def _redact_output(
        output: "capo_emr_containers.types.list_job_templates_response.ListJobTemplatesResponse",
    ) -> dict[str, Any]:
        import capo_emr_containers.types.list_job_templates_response

        return (
            capo_emr_containers.types.list_job_templates_response.redact_sensitive(
                output
            )
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("ListJobTemplates", redact_output=_redact_output),
    )
    input_: capo_emr_containers.types.list_job_templates_request.ListJobTemplatesRequest = {}
    if created_after is not None:
        input_["created_after"] = created_after
    if created_before is not None:
        input_["created_before"] = created_before
    if max_results is not None:
        input_["max_results"] = max_results
    if next_token is not None:
        input_["next_token"] = next_token

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