Deletes the specified target account configuration of the experiment template.
Parameters:
Raises:
Source code in docs_src/capo_fis/_services/fis.py
| def delete_target_account_configuration(
self,
experiment_template_id: "capo_fis.types.experiment_template_id.ExperimentTemplateId",
account_id: "capo_fis.types.target_account_id.TargetAccountId",
*,
config_overrides: Optional[fisClientConfig] = None,
) -> "capo_fis.types.delete_target_account_configuration_response.DeleteTargetAccountConfigurationResponse":
"""<p>Deletes the specified target account configuration of the experiment template.</p>
Args:
experiment_template_id: <p>The ID of the experiment template.</p>
account_id: <p>The Amazon Web Services account ID of the target account.</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.delete_target_account_configuration_request.DeleteTargetAccountConfigurationRequest]",
) -> OperationResponse[
"capo_fis.types.delete_target_account_configuration_response.DeleteTargetAccountConfigurationResponse"
]:
import capo_fis._operations.fault_injection_simulator.delete_target_account_configuration
output, http_response = (
capo_fis._operations.fault_injection_simulator.delete_target_account_configuration.delete_target_account_configuration(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("DeleteTargetAccountConfiguration")
)
input_: capo_fis.types.delete_target_account_configuration_request.DeleteTargetAccountConfigurationRequest = {
"experiment_template_id": experiment_template_id,
"account_id": account_id,
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|