def stop_flow(
self,
flow_arn: "capo_mediaconnect.types.flow_arn.FlowArn",
*,
config_overrides: Optional[MediaConnectClientConfig] = None,
) -> "capo_mediaconnect.types.stop_flow_response.StopFlowResponse":
"""<p> Stops a flow.</p>
Args:
flow_arn: <p> The Amazon Resource Name (ARN) of the flow that you want to stop.</p>
Raises:
capo_mediaconnect.errors.bad_request_exception.BadRequestException: <p>This exception is thrown if the request contains a semantic error. The precise meaning depends on the API, and is documented in the error message. </p>
capo_mediaconnect.errors.forbidden_exception.ForbiddenException: <p>You do not have sufficient access to perform this action. </p>
capo_mediaconnect.errors.internal_server_error_exception.InternalServerErrorException: <p>The server encountered an internal error and is unable to complete the request. </p>
capo_mediaconnect.errors.not_found_exception.NotFoundException: <p>One or more of the resources in the request does not exist in the system. </p>
capo_mediaconnect.errors.service_unavailable_exception.ServiceUnavailableException: <p>The service is currently unavailable or busy. </p>
capo_mediaconnect.errors.too_many_requests_exception.TooManyRequestsException: <p>The request was denied due to request throttling. </p>
capo_mediaconnect.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_mediaconnect.types.stop_flow_request.StopFlowRequest]",
) -> OperationResponse[
"capo_mediaconnect.types.stop_flow_response.StopFlowResponse"
]:
import capo_mediaconnect._operations.media_connect.stop_flow
output, http_response = (
capo_mediaconnect._operations.media_connect.stop_flow.stop_flow(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("StopFlow")
)
input_: capo_mediaconnect.types.stop_flow_request.StopFlowRequest = {
"flow_arn": flow_arn
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output