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create_classifier

create_classifier(
    *,
    config_overrides: Optional[GlueClientConfig] = None,
    grok_classifier: Optional[CreateGrokClassifierRequest] = None,
    xml_classifier: Optional[CreateXMLClassifierRequest] = None,
    json_classifier: Optional[CreateJsonClassifierRequest] = None,
    csv_classifier: Optional[CreateCsvClassifierRequest] = None,
) -> CreateClassifierResponse

Creates a classifier in the user's account. This can be a GrokClassifier, an XMLClassifier, a JsonClassifier, or a CsvClassifier, depending on which field of the request is present.

Parameters:

Raises:

Source code in docs_src/capo_glue/_services/glue.py
def create_classifier(
    self,
    *,
    config_overrides: Optional[GlueClientConfig] = None,
    grok_classifier: Optional[
        "capo_glue.types.create_grok_classifier_request.CreateGrokClassifierRequest"
    ] = None,
    xml_classifier: Optional[
        "capo_glue.types.create_xml_classifier_request.CreateXMLClassifierRequest"
    ] = None,
    json_classifier: Optional[
        "capo_glue.types.create_json_classifier_request.CreateJsonClassifierRequest"
    ] = None,
    csv_classifier: Optional[
        "capo_glue.types.create_csv_classifier_request.CreateCsvClassifierRequest"
    ] = None,
) -> "capo_glue.types.create_classifier_response.CreateClassifierResponse":
    """<p>Creates a classifier in the user's account. This can be a <code>GrokClassifier</code>, an <code>XMLClassifier</code>, a <code>JsonClassifier</code>, or a <code>CsvClassifier</code>, depending on which field of the request is present.</p>

    Args:
        grok_classifier: <p>A <code>GrokClassifier</code> object specifying the classifier to create.</p>
        xml_classifier: <p>An <code>XMLClassifier</code> object specifying the classifier to create.</p>
        json_classifier: <p>A <code>JsonClassifier</code> object specifying the classifier to create.</p>
        csv_classifier: <p>A <code>CsvClassifier</code> object specifying the classifier to create.</p>

    Raises:
        capo_glue.errors.already_exists_exception.AlreadyExistsException: <p>A resource to be created or added already exists.</p>
        capo_glue.errors.invalid_input_exception.InvalidInputException: <p>The input provided was not valid.</p>
        capo_glue.errors.operation_timeout_exception.OperationTimeoutException: <p>The operation timed out.</p>
        capo_glue.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_glue.types.create_classifier_request.CreateClassifierRequest]",
    ) -> OperationResponse[
        "capo_glue.types.create_classifier_response.CreateClassifierResponse"
    ]:
        import capo_glue._operations.aws_glue.create_classifier

        output, http_response = (
            capo_glue._operations.aws_glue.create_classifier.create_classifier(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("CreateClassifier")
    )
    input_: capo_glue.types.create_classifier_request.CreateClassifierRequest = {}
    if grok_classifier is not None:
        input_["grok_classifier"] = grok_classifier
    if xml_classifier is not None:
        input_["xml_classifier"] = xml_classifier
    if json_classifier is not None:
        input_["json_classifier"] = json_classifier
    if csv_classifier is not None:
        input_["csv_classifier"] = csv_classifier

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