create_detector_version async ¶

async def create_detector_version(
    self,
    detector_id: "capo_frauddetector.types.identifier.identifier",
    rules: "capo_frauddetector.types.rule_list.RuleList",
    *,
    config_overrides: Optional[AsyncFraudDetectorClientConfig] = None,
    description: Optional[
        "capo_frauddetector.types.description.description"
    ] = None,
    external_model_endpoints: Optional[
        "capo_frauddetector.types.list_of_strings.ListOfStrings"
    ] = None,
    model_versions: Optional[
        "capo_frauddetector.types.list_of_model_versions.ListOfModelVersions"
    ] = None,
    rule_execution_mode: Optional[
        "capo_frauddetector.types.rule_execution_mode.RuleExecutionMode"
    ] = None,
    tags: Optional["capo_frauddetector.types.tag_list.tagList"] = None,
) -> "capo_frauddetector.types.create_detector_version_result.CreateDetectorVersionResult":
    """<p>Creates a detector version. The detector version starts in a <code>DRAFT</code> status.</p>

    Args:
        detector_id: <p>The ID of the detector under which you want to create a new version.</p>
        description: <p>The description of the detector version.</p>
        external_model_endpoints: <p>The Amazon Sagemaker model endpoints to include in the detector version.</p>
        rules: <p>The rules to include in the detector version.</p>
        model_versions: <p>The model versions to include in the detector version.</p>
        rule_execution_mode: <p>The rule execution mode for the rules included in the detector version.</p> <p>You can define and edit the rule mode at the detector version level, when it is in draft status.</p> <p>If you specify <code>FIRST_MATCHED</code>, Amazon Fraud Detector evaluates rules sequentially, first to last, stopping at the first matched rule. Amazon Fraud dectector then provides the outcomes for that single rule.</p> <p>If you specifiy <code>ALL_MATCHED</code>, Amazon Fraud Detector evaluates all rules and returns the outcomes for all matched rules. </p> <p>The default behavior is <code>FIRST_MATCHED</code>.</p>
        tags: <p>A collection of key and value pairs.</p>

    Raises:
        capo_frauddetector.errors.access_denied_exception.AccessDeniedException: <p>An exception indicating Amazon Fraud Detector does not have the needed permissions. This can occur if you submit a request, such as <code>PutExternalModel</code>, that specifies a role that is not in your account.</p>
        capo_frauddetector.errors.internal_server_exception.InternalServerException: <p>An exception indicating an internal server error.</p>
        capo_frauddetector.errors.resource_not_found_exception.ResourceNotFoundException: <p>An exception indicating the specified resource was not found.</p>
        capo_frauddetector.errors.throttling_exception.ThrottlingException: <p>An exception indicating a throttling error.</p>
        capo_frauddetector.errors.validation_exception.ValidationException: <p>An exception indicating a specified value is not allowed.</p>
        capo_frauddetector.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_frauddetector.types.create_detector_version_request.CreateDetectorVersionRequest]",
    ) -> AsyncOperationResponse[
        "capo_frauddetector.types.create_detector_version_result.CreateDetectorVersionResult"
    ]:
        import capo_frauddetector._operations.aws_hawks_nest_service_facade.create_detector_version

        (
            output,
            http_response,
        ) = await capo_frauddetector._operations.aws_hawks_nest_service_facade.create_detector_version.async_create_detector_version(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("CreateDetectorVersion")
    )
    input_: capo_frauddetector.types.create_detector_version_request.CreateDetectorVersionRequest = {
        "detector_id": detector_id,
        "rules": rules,
    }
    if description is not None:
        input_["description"] = description
    if external_model_endpoints is not None:
        input_["external_model_endpoints"] = external_model_endpoints
    if model_versions is not None:
        input_["model_versions"] = model_versions
    if rule_execution_mode is not None:
        input_["rule_execution_mode"] = rule_execution_mode
    if tags is not None:
        input_["tags"] = tags

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output