def create_model()

in frauddetector/frauddetector.py [0:0]

• 20 lines of code
• 5 McCabe index (conditional complexity)

    def create_model(self):
        """Create Amazon FraudDetector model. Wraps the boto3 SDK API to allow bulk operations.
        https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/frauddetector.html#FraudDetector.Client.create_model

        Args:
            None
            
        Returns:
            :response_all:      {variable_name: API-response-status, variable_name: API-response-status} dict
        """

        existing_names = [m['modelId'] for m in self.models['models']]
        response_all = []

        if self.model_name not in existing_names:

            lh.debug("create_model: {}".format(self.model_name))
            # create event via Boto3 SDK fd instance
            response = self.fd.create_model(
                eventTypeName=self.event_type,
                modelId=self.model_name,
                modelType=self.model_type
            )
            lh.info("create_model: entity {} created".format(self.model_name))
            status = {self.model_name: response['ResponseMetadata']['HTTPStatusCode']}
            response_all.append(status)
        else:
            lh.warning("create_model: entity {} already exists, skipping".format(self.model_name))
            status = {self.model_name: "skipped"}
            response_all.append(status)

        # update myself
        self.models = self.fd.get_models()

        # convert list of dicts to single dict
        response_all = {k: v for d in response_all for k, v in d.items()}
        return response_all