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stop_stream_processor

stop_stream_processor(
    name: StreamProcessorName,
    *,
    config_overrides: Optional[RekognitionClientConfig] = None,
) -> StopStreamProcessorResponse

Service availability notice: Streaming Video and Bulk Image Analysis is no longer available to new customers. For more information, see Rekognition feature availability changes.

This change does not impact the availability of other Amazon Rekognition features.

Stops a running stream processor that was created by CreateStreamProcessor.

Parameters:

Raises:

Source code in docs_src/capo_rekognition/_services/rekognition.py
def stop_stream_processor(
    self,
    name: "capo_rekognition.types.stream_processor_name.StreamProcessorName",
    *,
    config_overrides: Optional[RekognitionClientConfig] = None,
) -> "capo_rekognition.types.stop_stream_processor_response.StopStreamProcessorResponse":
    """<important> <p>Service availability notice: Streaming Video and Bulk Image Analysis is no longer available to new customers. For more information, see <a href="https://docs.aws.amazon.com/rekognition/latest/dg/rekognition-availability-changes.html">Rekognition feature availability changes</a>.</p> <p> <b>This change does not impact the availability of other Amazon Rekognition features.</b> </p> </important> <p>Stops a running stream processor that was created by <a>CreateStreamProcessor</a>.</p>

    Args:
        name: <p>The name of a stream processor created by <a>CreateStreamProcessor</a>.</p>

    Raises:
        capo_rekognition.errors.access_denied_exception.AccessDeniedException: <p>You are not authorized to perform the action.</p>
        capo_rekognition.errors.internal_server_error.InternalServerError: <p>Amazon Rekognition experienced a service issue. Try your call again.</p>
        capo_rekognition.errors.invalid_parameter_exception.InvalidParameterException: <p>Input parameter violated a constraint. Validate your parameter before calling the API operation again.</p>
        capo_rekognition.errors.provisioned_throughput_exceeded_exception.ProvisionedThroughputExceededException: <p>The number of requests exceeded your throughput limit. If you want to increase this limit, contact Amazon Rekognition.</p>
        capo_rekognition.errors.resource_in_use_exception.ResourceInUseException: <p>The specified resource is already being used.</p>
        capo_rekognition.errors.resource_not_found_exception.ResourceNotFoundException: <p>The resource specified in the request cannot be found.</p>
        capo_rekognition.errors.throttling_exception.ThrottlingException: <p>Amazon Rekognition is temporarily unable to process the request. Try your call again.</p>
        capo_rekognition.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_rekognition.types.stop_stream_processor_request.StopStreamProcessorRequest]",
    ) -> OperationResponse[
        "capo_rekognition.types.stop_stream_processor_response.StopStreamProcessorResponse"
    ]:
        import capo_rekognition._operations.rekognition_service.stop_stream_processor

        output, http_response = (
            capo_rekognition._operations.rekognition_service.stop_stream_processor.stop_stream_processor(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("StopStreamProcessor")
    )
    input_: capo_rekognition.types.stop_stream_processor_request.StopStreamProcessorRequest = {
        "name": name
    }

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