update_stream_processor ¶

def update_stream_processor(
    self,
    name: "capo_rekognition.types.stream_processor_name.StreamProcessorName",
    *,
    config_overrides: Optional[RekognitionClientConfig] = None,
    settings_for_update: Optional[
        "capo_rekognition.types.stream_processor_settings_for_update.StreamProcessorSettingsForUpdate"
    ] = None,
    regions_of_interest_for_update: Optional[
        "capo_rekognition.types.regions_of_interest.RegionsOfInterest"
    ] = None,
    data_sharing_preference_for_update: Optional[
        "capo_rekognition.types.stream_processor_data_sharing_preference.StreamProcessorDataSharingPreference"
    ] = None,
    parameters_to_delete: Optional[
        "capo_rekognition.types.stream_processor_parameters_to_delete.StreamProcessorParametersToDelete"
    ] = None,
) -> "capo_rekognition.types.update_stream_processor_response.UpdateStreamProcessorResponse":
    """<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> Allows you to update a stream processor. You can change some settings and regions of interest and delete certain parameters. </p>

    Args:
        name: <p> Name of the stream processor that you want to update. </p>
        settings_for_update: <p> The stream processor settings that you want to update. Label detection settings can be updated to detect different labels with a different minimum confidence. </p>
        regions_of_interest_for_update: <p> Specifies locations in the frames where Amazon Rekognition checks for objects or people. This is an optional parameter for label detection stream processors. </p>
        data_sharing_preference_for_update: <p> Shows whether you are sharing data with Rekognition to improve model performance. You can choose this option at the account level or on a per-stream basis. Note that if you opt out at the account level this setting is ignored on individual streams. </p>
        parameters_to_delete: <p> A list of parameters you want to delete from the stream processor. </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.update_stream_processor_request.UpdateStreamProcessorRequest]",
    ) -> OperationResponse[
        "capo_rekognition.types.update_stream_processor_response.UpdateStreamProcessorResponse"
    ]:
        import capo_rekognition._operations.rekognition_service.update_stream_processor

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

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("UpdateStreamProcessor")
    )
    input_: capo_rekognition.types.update_stream_processor_request.UpdateStreamProcessorRequest = {
        "name": name
    }
    if settings_for_update is not None:
        input_["settings_for_update"] = settings_for_update
    if regions_of_interest_for_update is not None:
        input_["regions_of_interest_for_update"] = regions_of_interest_for_update
    if data_sharing_preference_for_update is not None:
        input_["data_sharing_preference_for_update"] = (
            data_sharing_preference_for_update
        )
    if parameters_to_delete is not None:
        input_["parameters_to_delete"] = parameters_to_delete

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