| import json | |
| import random | |
| # sample preprocess_handler (to be implemented by customer) | |
| # This is a trivial example, where we demonstrate an echo preprocessor for json data | |
| # for others though, we are generating random data (real customers would not do that obviously/hopefully) | |
| def preprocess_handler(inference_record): | |
| event_data = inference_record.event_data | |
| input_data = {} | |
| output_data = {} | |
| # If the input data is JSON encoded, the following code just echoes it back | |
| if event_data.endpointInput.encoding == "JSON": | |
| input_data = json.loads(event_data.endpointInput.data) | |
| if event_data.endpointOutput.encoding == "JSON": | |
| output_data = json.loads(event_data.endpointOutput.data) | |
| # for non JSON data, this code just generates something random | |
| # real customers would read the event_data and transform it into a json | |
| if not input_data: | |
| input_data["feature0"] = random.uniform(0, 1) | |
| input_data["feature1"] = random.uniform(0, 1) | |
| if not output_data: | |
| output_data["prediction"] = random.uniform(0, 1) | |
| return {**input_data, **output_data} | |