Advice Needed on Effective Logging Practices for Personal Projects

I suggest you log TypeErrors at development time. If you're using a testing framework, send the output of your tests to a structured format like SQLite or NDJSON. This will allow you to query your logs later on. It might help you identify patterns in your errors without having to sift through verbose logs every time.

Hey, I get where you're coming from! If your logs are too noisy, try focusing on specific logging levels. For example, you can log only errors while filtering out informational logs. Writing errors to a database will also help streamline your analysis. Also, you could try running your linter or type checker and directly outputting the results to a more structured format like JSON or NDJSON, which could then be analyzed later.

Using Python's standard logging library is a solid start. It allows you to set log levels and filters, so you only see what you want. You can write logs directly to a CSV or a database, making it easier to analyze. If you're gathering data on errors and performance, this structured approach might be exactly what you need!

From what you're describing, it sounds like you're looking for a way to structure your error tracking. I recommend using multiple handlers for your logging; this allows you to log to different files, each with its own format. This way, you can review logs more efficiently based on what's relevant at that moment!

Definitely check out Python's built-in logging module. It's super configurable and can meet most of your requirements. You can create custom log handlers that write directly to files, but have you thought about logging to a database instead? This way, you can easily filter logs by priority and keep your logs organized. You might want to check out Elastic Stack or OpenTelemetry for more advanced observability, too.