def __init__()

in cron-inference/app.py [0:0]

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

    def __init__(self, app: core.App, id: str) -> None:
        super().__init__(app, id)

        with open("lambda-handler.py", encoding="utf8") as fp:
            handler_code = fp.read()

        lambdaFn = lambda_.Function(
            self,
            "Singleton",
            code=lambda_.InlineCode(handler_code),
            handler="index.lambda_handler",
            timeout=core.Duration.seconds(300),
            runtime=lambda_.Runtime.PYTHON_3_7,
            environment={"endpoint_name":endpoint_name, # CHANGE TO YOUR ENDPOINT NAME!!
                        "content_type":"text/csv",
                        "input_data":input_data,
                        "bucket":bucket,
                        "key":key}
        )

        # Add sagemaker role
        lambdaFn.add_to_role_policy(aws_iam.PolicyStatement(
            actions = ['sagemaker:InvokeEndpoint',],
            resources = ['arn:aws:sagemaker:{}:{}:endpoint/{}'.format(my_region,my_acc_id,endpoint_name),]))

        #Add s3 role
        lambdaFn.add_to_role_policy(aws_iam.PolicyStatement(
            actions = ['s3:GetObject',],
            resources =['arn:aws:s3:::{}'.format(bucket),]))


        # Run every day at 6PM UTC
        # See https://docs.aws.amazon.com/lambda/latest/dg/tutorial-scheduled-events-schedule-expressions.html
        rule = events.Rule(
            self, "Rule",
            schedule=events.Schedule.cron(
                minute='0',
                hour='18',
                month='*',
                week_day='MON-FRI',
                year='*'),
        )
        rule.add_target(targets.LambdaFunction(lambdaFn))