Python logging best practices
Python has a great built-in logging library. It allows to avoid a lot of boilerplate code and provides great features. Here are some examples. Logging allows to set up a unified formatting for logs: 2023-10-03 12:57:22,377|classifier.py| 62|522130|MainThread|INFO|Classifying messages from ./messages.ndjson (images ./save_path)... 2023-10-03 12:57:22,378|classifier.py| 44|522130|MainThread|INFO|Start reading input messages from ./messages.ndjson 2023-10-03 12:57:22,378|classifier.py| 48|522130|MainThread|INFO|Loaded event {'id': 104162, 'date': '2023-09-27T07:12:08+00:00', 'entities': []} 2023-10-03 12:57:22,378|classifier.py| 48|522130|MainThread|INFO|Loaded event {'id': 58934, 'date': '2023-09-27T07:12:09+00:00', 'entities': [{'_': 'MessageEntityBold', 'offset': 92, 'length': 8}]} 2023-10-03 12:57:22,378|classifier....