Lists the deployment configurations with the user or Amazon Web Services account.
Parameters:
-
next_token
(Optional[NextToken], default:
None
)
–
An identifier returned from the previous ListDeploymentConfigs call. It can be used to return the next set of deployment configurations in the list.
Raises:
Source code in docs_src/capo_codedeploy/_services/code_deploy.py
| def list_deployment_configs(
self,
*,
config_overrides: Optional[CodeDeployClientConfig] = None,
next_token: Optional["capo_codedeploy.types.next_token.NextToken"] = None,
) -> "capo_codedeploy.types.list_deployment_configs_output.ListDeploymentConfigsOutput":
"""<p>Lists the deployment configurations with the user or Amazon Web Services account.</p>
Args:
next_token: <p>An identifier returned from the previous <code>ListDeploymentConfigs</code> call. It can be used to return the next set of deployment configurations in the list. </p>
Raises:
capo_codedeploy.errors.invalid_next_token_exception.InvalidNextTokenException: <p>The next token was specified in an invalid format.</p>
capo_codedeploy.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_codedeploy.types.list_deployment_configs_input.ListDeploymentConfigsInput]",
) -> OperationResponse[
"capo_codedeploy.types.list_deployment_configs_output.ListDeploymentConfigsOutput"
]:
import capo_codedeploy._operations.code_deploy_20141006.list_deployment_configs
output, http_response = (
capo_codedeploy._operations.code_deploy_20141006.list_deployment_configs.list_deployment_configs(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("ListDeploymentConfigs")
)
input_: capo_codedeploy.types.list_deployment_configs_input.ListDeploymentConfigsInput = {}
if next_token is not None:
input_["next_token"] = next_token
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|