in assets/functions/check_initial_pipeline_run/app.py [0:0]
def lambda_handler(event, context):
working_bucket = os.environ['Working_bucket']
file_key = "meteranalytics/initial_pass"
initial_pipeline_passed = check_if_file_exist(working_bucket, file_key)
if initial_pipeline_passed:
parameter = load_json_from_file(working_bucket, file_key)
else:
parameter = {
"Data_start": "2013-06-01",
"Data_end": "2013-12-01",
"Forecast_period": 7,
"Training_samples": 50,
"Training_instance_type": "ml.c5.2xlarge",
"Endpoint_instance_type": "ml.m5.xlarge",
"Training_job_name": "training-job-{}".format(str(uuid.uuid4())),
"ModelName": "ml-model-{}".format(str(uuid.uuid4())),
"ML_endpoint_name": "ml-endpoint-{}".format(str(uuid.uuid4())),
"Meter_start": 1,
"Meter_end": 100,
"Batch_size": 25
}
return {
**parameter,
**event, # will override parameter with same key, can be used to override default parameter from the outside
"initial_pipeline_passed": initial_pipeline_passed
}