def predict()

in frauddetector/frauddetector.py [0:0]

• 18 lines of code
• 1 McCabe index (conditional complexity)

    def predict(self, event_timestamp, event_variables, entity_id="unknown"):
        """Predict using your Amazon Forecast model

        Args:
            :event_timestamp:   A string indicating the timestamp key
            :event_variables:   A dict with your event variables
            :entity_id:         The unique ID of your entity if known

        Returns:
            :score:   {'credit_card_model_insightscore': 14.0, 'ruleResults': ['verify_outcome']} dict
        """
        response = self.fd.get_event_prediction(
            detectorId=self.detector_name,
            detectorVersionId=self.detector_version,
            eventId=str(uuid.uuid4()),
            eventTypeName=self.event_type,
            entities=[
                {
                    'entityType': self.entity_type,
                    'entityId': entity_id
                },
            ],
            eventTimestamp=event_timestamp,
            eventVariables = event_variables
        )
        score = response['modelScores'][0]["scores"]
        score["ruleResults"] = response['ruleResults']
        return score