Lists the deployments that have been created.
Parameters:
-
filters
(Optional[DeploymentFilterList], default:
None
)
–
Filters to scope the results. The following filters are supported:
-
max_results
(Optional[MaxDeploymentResults], default:
None
)
–
The maximum number of items to return for this request. To get the next page of items, make another request with the token returned in the output.
-
next_token
(Optional[NextToken], default:
None
)
–
The token returned from a previous paginated request. Pagination continues from the end of the items returned by the previous request.
Raises:
-
InternalServerException
–
An internal error has occurred. Retry your request, but if the problem persists, contact us with details by posting a question on re:Post.
-
ValidationException
–
The input fails to satisfy the constraints specified by an Amazon Web Services service.
-
UnknownServiceError
–
The service returned an error code this client does not model.
Examples:
List deployments in the account with filters.
>>> client.list_deployments(filters=[{'name': 'DEPLOYMENT_STATUS', 'values': ['IN_PROGRESS']}])
Source code in docs_src/capo_launch_wizard/_services/launch_wizard.py
| def list_deployments(
self,
*,
config_overrides: Optional[LaunchWizardClientConfig] = None,
filters: Optional[
"capo_launch_wizard.types.deployment_filter_list.DeploymentFilterList"
] = None,
max_results: Optional[
"capo_launch_wizard.types.max_deployment_results.MaxDeploymentResults"
] = None,
next_token: Optional["capo_launch_wizard.types.next_token.NextToken"] = None,
) -> "capo_launch_wizard.types.list_deployments_output.ListDeploymentsOutput":
"""<p>Lists the deployments that have been created.</p>
Args:
filters: <p>Filters to scope the results. The following filters are supported:</p> <ul> <li> <p> <code>WORKLOAD_NAME</code> - The name used in deployments.</p> </li> <li> <p> <code>DEPLOYMENT_STATUS</code> - <code>COMPLETED</code> | <code>CREATING</code> | <code>DELETE_IN_PROGRESS</code> | <code>DELETE_INITIATING</code> | <code>DELETE_FAILED</code> | <code>DELETED</code> | <code>FAILED</code> | <code>IN_PROGRESS</code> | <code>VALIDATING</code> </p> </li> </ul>
max_results: <p>The maximum number of items to return for this request. To get the next page of items, make another request with the token returned in the output.</p>
next_token: <p>The token returned from a previous paginated request. Pagination continues from the end of the items returned by the previous request.</p>
Raises:
capo_launch_wizard.errors.internal_server_exception.InternalServerException: <p>An internal error has occurred. Retry your request, but if the problem persists, contact us with details by posting a question on <a href="https://repost.aws/">re:Post</a>.</p>
capo_launch_wizard.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by an Amazon Web Services service.</p>
capo_launch_wizard.errors.UnknownServiceError: The service returned an error code this client does not model.
Examples:
List deployments in the account with filters.
>>> client.list_deployments(filters=[{'name': 'DEPLOYMENT_STATUS', 'values': ['IN_PROGRESS']}])
"""
def _handler(
req: "OperationRequest[capo_launch_wizard.types.list_deployments_input.ListDeploymentsInput]",
) -> OperationResponse[
"capo_launch_wizard.types.list_deployments_output.ListDeploymentsOutput"
]:
import capo_launch_wizard._operations.launch_wizard.list_deployments
output, http_response = (
capo_launch_wizard._operations.launch_wizard.list_deployments.list_deployments(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("ListDeployments")
)
input_: capo_launch_wizard.types.list_deployments_input.ListDeploymentsInput = {}
if filters is not None:
input_["filters"] = filters
if max_results is not None:
input_["max_results"] = max_results
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
|