async def create_cli_token(
self,
name: "capo_mwaa.types.environment_name.EnvironmentName",
*,
config_overrides: Optional[AsyncMWAAClientConfig] = None,
) -> "capo_mwaa.types.create_cli_token_response.CreateCliTokenResponse":
"""<p>Creates a CLI token for the Airflow CLI. To learn more, see <a href="https://docs.aws.amazon.com/mwaa/latest/userguide/call-mwaa-apis-cli.html">Creating an Apache Airflow CLI token</a>.</p>
Args:
name: <p>The name of the Amazon MWAA environment. For example, <code>MyMWAAEnvironment</code>.</p>
Raises:
capo_mwaa.errors.resource_not_found_exception.ResourceNotFoundException: <p>ResourceNotFoundException: The resource is not available.</p>
capo_mwaa.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
async def _handler(
req: "AsyncOperationRequest[capo_mwaa.types.create_cli_token_request.CreateCliTokenRequest]",
) -> AsyncOperationResponse[
"capo_mwaa.types.create_cli_token_response.CreateCliTokenResponse"
]:
import capo_mwaa._operations.amazon_mwaa.create_cli_token
(
output,
http_response,
) = await capo_mwaa._operations.amazon_mwaa.create_cli_token.async_create_cli_token(
req.options, req.input
)
return AsyncOperationResponse(output=output, response=http_response)
def _redact_output(
output: "capo_mwaa.types.create_cli_token_response.CreateCliTokenResponse",
) -> dict[str, Any]:
import capo_mwaa.types.create_cli_token_response
return capo_mwaa.types.create_cli_token_response.redact_sensitive(output)
interceptors_, options_ = self.operation_options(
config_overrides,
OperationLogging("CreateCliToken", redact_output=_redact_output),
)
input_: capo_mwaa.types.create_cli_token_request.CreateCliTokenRequest = {
"name": name
}
response = await aexecute_pipeline(
AsyncOperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
await response.response.aclose()
return response.output