def deploy()

in frauddetector/frauddetector.py [0:0]

• 21 lines of code
• 6 McCabe index (conditional complexity)

    def deploy(self, rules_list=None, rule_execution_mode='FIRST_MATCHED'):
        """Deploy a detector-version with associated rules for a particular model version

        Args:

            :rules_list:  Optional: if a list of rules is supplied, call the create_rules method, otherwise work with existing rules
                     pass in list of (rule_name, expression, [outcomes]) tuples

        """

        # Check model-version is ACTIVE
        if self.model_status != 'ACTIVE':
            lh.warning("deploy: Model is not active; wait until model is active before deploying")
            raise EnvironmentError("Model not active")

        # create rules, if supplied, then get all the rules associated with this detector instance
        if rules_list:
            response = self.create_rules(rules_list)
        active_rules = self.rules

        # create a rules list of dicts to pass in to create detector version
        rules_payload = []
        for r in active_rules:
            rules_payload.append({'detectorId': self.detector_name, 'ruleId': r['ruleId'], 'ruleVersion': r['ruleVersion'] })

        # deploy the detector-version with rules and model
        response = self.fd.create_detector_version(
            detectorId=self.detector_name,
            rules=rules_payload,
            modelVersions=[{
                'modelId': self.model_name,
                'modelType': self.model_type,
                'modelVersionNumber': self.model_version
                }],
            ruleExecutionMode=rule_execution_mode
        )
        return response