Lists the target account configurations of the specified experiment.
Parameters:
-
experiment_id
(ExperimentId)
–
The ID of the experiment.
-
next_token
(Optional[NextToken], default:
None
)
–
The token for the next page of results.
Raises:
Source code in docs_src/capo_fis/_services/fis.py
| def list_experiment_target_account_configurations(
self,
experiment_id: "capo_fis.types.experiment_id.ExperimentId",
*,
config_overrides: Optional[fisClientConfig] = None,
next_token: Optional["capo_fis.types.next_token.NextToken"] = None,
) -> "capo_fis.types.list_experiment_target_account_configurations_response.ListExperimentTargetAccountConfigurationsResponse":
"""<p>Lists the target account configurations of the specified experiment.</p>
Args:
experiment_id: <p>The ID of the experiment.</p>
next_token: <p>The token for the next page of results.</p>
Raises:
capo_fis.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource cannot be found.</p>
capo_fis.errors.validation_exception.ValidationException: <p>The specified input is not valid, or fails to satisfy the constraints for the request.</p>
capo_fis.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_fis.types.list_experiment_target_account_configurations_request.ListExperimentTargetAccountConfigurationsRequest]",
) -> OperationResponse[
"capo_fis.types.list_experiment_target_account_configurations_response.ListExperimentTargetAccountConfigurationsResponse"
]:
import capo_fis._operations.fault_injection_simulator.list_experiment_target_account_configurations
output, http_response = (
capo_fis._operations.fault_injection_simulator.list_experiment_target_account_configurations.list_experiment_target_account_configurations(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides,
OperationLogging("ListExperimentTargetAccountConfigurations"),
)
input_: capo_fis.types.list_experiment_target_account_configurations_request.ListExperimentTargetAccountConfigurationsRequest = {
"experiment_id": experiment_id
}
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
|