# *************************************************************************************** # Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. * # * # Permission is hereby granted, free of charge, to any person obtaining a copy of this * # software and associated documentation files (the "Software"), to deal in the Software * # without restriction, including without limitation the rights to use, copy, modify, * # merge, publish, distribute, sublicense, and/or sell copies of the Software, and to * # permit persons to whom the Software is furnished to do so. * # * # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, * # INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A * # PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT * # HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION * # OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE * # SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. * # *************************************************************************************** import logging import boto3 from core.fraud_detector_utils import FraudDetectorUtils class FraudDetectorUndeploy: def __init__(self, client=None, fraud_detector_utils=None): self.client = client or boto3.client('frauddetector') self.fraud_detector_utils = fraud_detector_utils or FraudDetectorUtils() @property def _logger(self): return logging.getLogger(__name__) def delete_detector(self, detector_name): self.delete_all_detector_versions(detector_name) # delete rules attached to detector self.delete_all_rules(detector_name) self.client.delete_detector( detectorId=detector_name ) def delete_all_rules(self, detector_name): next_token = "" paginate = True while paginate: response = self.client.get_rules( detectorId=detector_name, nextToken=next_token ) # no rule with the given id found. if not response["ruleDetails"]: break # Loop through the versions within the current page for rule in response["ruleDetails"]: rule_id = rule["ruleId"] rule_version = rule["ruleVersion"] # delete detector version rules response = self.client.delete_rule( rule={"detectorId": detector_name, "ruleId": rule_id, "ruleVersion": str(rule_version) } ) next_token = response.get("nextToken", "") paginate = next_token != "" def delete_all_detector_versions(self, detector_name): # get detector versions: next_token = "" paginate = True while paginate: response = self.client.describe_detector( detectorId=detector_name, nextToken=next_token ) # no versions found. if not response["detectorVersionSummaries"]: break # Loop through the versions within the current page for detector_version in response["detectorVersionSummaries"]: version_no = detector_version["detectorVersionId"] self.client.update_detector_version_status( detectorId=detector_name, detectorVersionId=str(version_no), status='INACTIVE' ) # delete detector version response = self.client.delete_detector_version( detectorId=detector_name, detectorVersionId=str(version_no) ) next_token = response.get("nextToken", "") paginate = next_token != "" def undeploy_model(self, model_name, model_version, model_type='ONLINE_FRAUD_INSIGHTS'): self.client.update_model_version_status( modelId=model_name, modelType=model_type, modelVersionNumber=model_version, status='INACTIVE' ) self.fraud_detector_utils.wait_until_model_status(model_name=model_name, model_version=model_version, model_type=model_type, fail_states="ERROR", success_states="TRAINING_COMPLETE")