Describes a specific runtime environment.
Parameters:
-
environment_id
(Identifier)
–
The unique identifier of the runtime environment.
Raises:
Source code in docs_src/capo_m2/_services/m2.py
| def get_environment(
self,
environment_id: "capo_m2.types.identifier.Identifier",
*,
config_overrides: Optional[m2ClientConfig] = None,
) -> "capo_m2.types.get_environment_response.GetEnvironmentResponse":
"""<p>Describes a specific runtime environment.</p>
Args:
environment_id: <p>The unique identifier of the runtime environment.</p>
Raises:
capo_m2.errors.access_denied_exception.AccessDeniedException: <p>The account or role doesn't have the right permissions to make the request.</p>
capo_m2.errors.internal_server_exception.InternalServerException: <p>An unexpected error occurred during the processing of the request.</p>
capo_m2.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource was not found.</p>
capo_m2.errors.throttling_exception.ThrottlingException: <p>The number of requests made exceeds the limit.</p>
capo_m2.errors.validation_exception.ValidationException: <p>One or more parameters provided in the request is not valid.</p>
capo_m2.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_m2.types.get_environment_request.GetEnvironmentRequest]",
) -> OperationResponse[
"capo_m2.types.get_environment_response.GetEnvironmentResponse"
]:
import capo_m2._operations.aws_supernova_control_plane_service.get_environment
output, http_response = (
capo_m2._operations.aws_supernova_control_plane_service.get_environment.get_environment(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("GetEnvironment")
)
input_: capo_m2.types.get_environment_request.GetEnvironmentRequest = {
"environment_id": environment_id
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|