Retrieves details about your account's limits and usage in an Amazon Web Services Region.
Raises:
Examples:
To get account settings
This operation takes no parameters and returns details about storage and concurrency quotas in the current Region.
>>> client.get_account_settings()
Source code in docs_src/capo_lambda/_services/_lambda.py
| def get_account_settings(
self, *, config_overrides: Optional[LambdaClientConfig] = None
) -> "capo_lambda.types.get_account_settings_response.GetAccountSettingsResponse":
"""<p>Retrieves details about your account's <a href="https://docs.aws.amazon.com/lambda/latest/dg/limits.html">limits</a> and usage in an Amazon Web Services Region.</p>
Raises:
capo_lambda.errors.service_exception.ServiceException: <p>The Lambda service encountered an internal error.</p>
capo_lambda.errors.too_many_requests_exception.TooManyRequestsException: <p>The request throughput limit was exceeded. For more information, see <a href="https://docs.aws.amazon.com/lambda/latest/dg/gettingstarted-limits.html#api-requests">Lambda quotas</a>.</p>
capo_lambda.errors.UnknownServiceError: The service returned an error code this client does not model.
Examples:
To get account settings
This operation takes no parameters and returns details about storage and concurrency quotas in the current Region.
>>> client.get_account_settings()
"""
def _handler(
req: "OperationRequest[capo_lambda.types.get_account_settings_request.GetAccountSettingsRequest]",
) -> OperationResponse[
"capo_lambda.types.get_account_settings_response.GetAccountSettingsResponse"
]:
import capo_lambda._operations.aws_gir_api_service.get_account_settings
output, http_response = (
capo_lambda._operations.aws_gir_api_service.get_account_settings.get_account_settings(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("GetAccountSettings")
)
input_: capo_lambda.types.get_account_settings_request.GetAccountSettingsRequest = {}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|