def list_metric_streams(
self,
*,
config_overrides: Optional[CloudWatchClientConfig] = None,
next_token: Optional["capo_cloudwatch.types.next_token.NextToken"] = None,
max_results: Optional[
"capo_cloudwatch.types.list_metric_streams_max_results.ListMetricStreamsMaxResults"
] = None,
) -> "capo_cloudwatch.types.list_metric_streams_output.ListMetricStreamsOutput":
"""<p>Returns a list of metric streams in this account.</p>
Args:
next_token: <p>Include this value, if it was returned by the previous call, to get the next set of metric streams.</p>
max_results: <p>The maximum number of results to return in one operation.</p>
Raises:
capo_cloudwatch.errors.internal_service_fault.InternalServiceFault: <p>Request processing has failed due to some unknown error, exception, or failure.</p>
capo_cloudwatch.errors.invalid_next_token.InvalidNextToken: <p>The next token specified is invalid.</p>
capo_cloudwatch.errors.invalid_parameter_value_exception.InvalidParameterValueException: <p>The value of an input parameter is bad or out-of-range.</p>
capo_cloudwatch.errors.missing_required_parameter_exception.MissingRequiredParameterException: <p>An input parameter that is required is missing.</p>
capo_cloudwatch.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_cloudwatch.types.list_metric_streams_input.ListMetricStreamsInput]",
) -> OperationResponse[
"capo_cloudwatch.types.list_metric_streams_output.ListMetricStreamsOutput"
]:
import capo_cloudwatch._operations.granite_service_version20100801.list_metric_streams
output, http_response = (
capo_cloudwatch._operations.granite_service_version20100801.list_metric_streams.list_metric_streams(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("ListMetricStreams")
)
input_: capo_cloudwatch.types.list_metric_streams_input.ListMetricStreamsInput = {}
if next_token is not None:
input_["next_token"] = next_token
if max_results is not None:
input_["max_results"] = max_results
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output