Gets the latest analytics data for all your current active assessments.
Raises:
-
AccessDeniedException
–
Your account isn't registered with Audit Manager. Check the delegated administrator setup on the Audit Manager settings page, and try again.
-
InternalServerException
–
An internal service error occurred during the processing of your request. Try again later.
-
UnknownServiceError
–
The service returned an error code this client does not model.
Source code in docs_src/capo_auditmanager/_services/audit_manager.py
| def get_insights(
self, *, config_overrides: Optional[AuditManagerClientConfig] = None
) -> "capo_auditmanager.types.get_insights_response.GetInsightsResponse":
"""<p>Gets the latest analytics data for all your current active assessments. </p>
Raises:
capo_auditmanager.errors.access_denied_exception.AccessDeniedException: <p> Your account isn't registered with Audit Manager. Check the delegated administrator setup on the Audit Manager settings page, and try again. </p>
capo_auditmanager.errors.internal_server_exception.InternalServerException: <p> An internal service error occurred during the processing of your request. Try again later. </p>
capo_auditmanager.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_auditmanager.types.get_insights_request.GetInsightsRequest]",
) -> OperationResponse[
"capo_auditmanager.types.get_insights_response.GetInsightsResponse"
]:
import capo_auditmanager._operations.bedrock_assessment_manager_lambda.get_insights
output, http_response = (
capo_auditmanager._operations.bedrock_assessment_manager_lambda.get_insights.get_insights(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("GetInsights")
)
input_: capo_auditmanager.types.get_insights_request.GetInsightsRequest = {}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|