Gets the recording configuration for the specified ARN.
Parameters:
Raises:
Source code in docs_src/capo_ivs/_services/ivs.py
| def get_recording_configuration(
self,
arn: "capo_ivs.types.recording_configuration_arn.RecordingConfigurationArn",
*,
config_overrides: Optional[ivsClientConfig] = None,
) -> "capo_ivs.types.get_recording_configuration_response.GetRecordingConfigurationResponse":
"""<p>Gets the recording configuration for the specified ARN.</p>
Args:
arn: <p>ARN of the recording configuration to be retrieved.</p>
Raises:
capo_ivs.errors.access_denied_exception.AccessDeniedException: <p>User does not have sufficient access to perform this action.</p>
capo_ivs.errors.internal_server_exception.InternalServerException: <p>Unexpected error during processing of request.</p>
capo_ivs.errors.resource_not_found_exception.ResourceNotFoundException: <p>Request references a resource which does not exist.</p>
capo_ivs.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by an Amazon Web Services service.</p>
capo_ivs.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_ivs.types.get_recording_configuration_request.GetRecordingConfigurationRequest]",
) -> OperationResponse[
"capo_ivs.types.get_recording_configuration_response.GetRecordingConfigurationResponse"
]:
import capo_ivs._operations.amazon_interactive_video_service.get_recording_configuration
output, http_response = (
capo_ivs._operations.amazon_interactive_video_service.get_recording_configuration.get_recording_configuration(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("GetRecordingConfiguration")
)
input_: capo_ivs.types.get_recording_configuration_request.GetRecordingConfigurationRequest = {
"arn": arn
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|