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update_model

update_model(
    rest_api_id: String,
    model_name: String,
    *,
    config_overrides: Optional[APIGatewayClientConfig] = None,
    patch_operations: Optional[ListOfPatchOperation] = None,
) -> Model

Changes information about a model. The maximum size of the model is 400 KB.

Parameters:

Raises:

  • BadRequestException –

    The submitted request is not valid, for example, the input is incomplete or incorrect. See the accompanying error message for details.

  • ConflictException –

    The request configuration has conflicts. For details, see the accompanying error message.

  • LimitExceededException –

    The request exceeded the rate limit. Retry after the specified time period.

  • NotFoundException –

    The requested resource is not found. Make sure that the request URI is correct.

  • TooManyRequestsException –

    The request has reached its throttling limit. Retry after the specified time period.

  • UnauthorizedException –

    The request is denied because the caller has insufficient permissions.

  • UnknownServiceError –

    The service returned an error code this client does not model.

Source code in docs_src/capo_api_gateway/_services/api_gateway.py
def update_model(
    self,
    rest_api_id: "capo_api_gateway.types.string.String",
    model_name: "capo_api_gateway.types.string.String",
    *,
    config_overrides: Optional[APIGatewayClientConfig] = None,
    patch_operations: Optional[
        "capo_api_gateway.types.list_of_patch_operation.ListOfPatchOperation"
    ] = None,
) -> "capo_api_gateway.types.model.Model":
    """<p>Changes information about a model. The maximum size of the model is 400 KB.</p>

    Args:
        rest_api_id: <p>The string identifier of the associated RestApi.</p>
        model_name: <p>The name of the model to update.</p>
        patch_operations: <p>For more information about supported patch operations, see <a href="https://docs.aws.amazon.com/apigateway/latest/api/patch-operations.html">Patch Operations</a>.</p>

    Raises:
        capo_api_gateway.errors.bad_request_exception.BadRequestException: <p>The submitted request is not valid, for example, the input is incomplete or incorrect. See the accompanying error message for details.</p>
        capo_api_gateway.errors.conflict_exception.ConflictException: <p>The request configuration has conflicts. For details, see the accompanying error message.</p>
        capo_api_gateway.errors.limit_exceeded_exception.LimitExceededException: <p>The request exceeded the rate limit. Retry after the specified time period.</p>
        capo_api_gateway.errors.not_found_exception.NotFoundException: <p>The requested resource is not found. Make sure that the request URI is correct.</p>
        capo_api_gateway.errors.too_many_requests_exception.TooManyRequestsException: <p>The request has reached its throttling limit. Retry after the specified time period.</p>
        capo_api_gateway.errors.unauthorized_exception.UnauthorizedException: <p>The request is denied because the caller has insufficient permissions.</p>
        capo_api_gateway.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_api_gateway.types.update_model_request.UpdateModelRequest]",
    ) -> OperationResponse["capo_api_gateway.types.model.Model"]:
        import capo_api_gateway._operations.backplane_control_service.update_model

        output, http_response = (
            capo_api_gateway._operations.backplane_control_service.update_model.update_model(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("UpdateModel")
    )
    input_: capo_api_gateway.types.update_model_request.UpdateModelRequest = {
        "rest_api_id": rest_api_id,
        "model_name": model_name,
    }
    if patch_operations is not None:
        input_["patch_operations"] = patch_operations

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