list_document_classifiers ¶

def list_document_classifiers(
    self,
    *,
    config_overrides: Optional[ComprehendClientConfig] = None,
    filter: Optional[
        "capo_comprehend.types.document_classifier_filter.DocumentClassifierFilter"
    ] = None,
    next_token: Optional["capo_comprehend.types.string.String"] = None,
    max_results: Optional[
        "capo_comprehend.types.max_results_integer.MaxResultsInteger"
    ] = None,
) -> "capo_comprehend.types.list_document_classifiers_response.ListDocumentClassifiersResponse":
    """<p>Gets a list of the document classifiers that you have created.</p>

    Args:
        filter: <p>Filters the jobs that are returned. You can filter jobs on their name, status, or the date and time that they were submitted. You can only set one filter at a time.</p>
        next_token: <p>Identifies the next page of results to return.</p>
        max_results: <p>The maximum number of results to return in each page. The default is 100.</p>

    Raises:
        capo_comprehend.errors.internal_server_exception.InternalServerException: <p>An internal server error occurred. Retry your request.</p>
        capo_comprehend.errors.invalid_filter_exception.InvalidFilterException: <p>The filter specified for the operation is invalid. Specify a different filter.</p>
        capo_comprehend.errors.invalid_request_exception.InvalidRequestException: <p>The request is invalid.</p>
        capo_comprehend.errors.too_many_requests_exception.TooManyRequestsException: <p>The number of requests exceeds the limit. Resubmit your request later.</p>
        capo_comprehend.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_comprehend.types.list_document_classifiers_request.ListDocumentClassifiersRequest]",
    ) -> OperationResponse[
        "capo_comprehend.types.list_document_classifiers_response.ListDocumentClassifiersResponse"
    ]:
        import capo_comprehend._operations.comprehend_20171127.list_document_classifiers

        output, http_response = (
            capo_comprehend._operations.comprehend_20171127.list_document_classifiers.list_document_classifiers(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    def _redact_output(
        output: "capo_comprehend.types.list_document_classifiers_response.ListDocumentClassifiersResponse",
    ) -> dict[str, Any]:
        import capo_comprehend.types.list_document_classifiers_response

        return capo_comprehend.types.list_document_classifiers_response.redact_sensitive(
            output
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("ListDocumentClassifiers", redact_output=_redact_output),
    )
    input_: capo_comprehend.types.list_document_classifiers_request.ListDocumentClassifiersRequest = {}
    if filter is not None:
        input_["filter"] = filter
    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