aimingmed-ai/app/proto-docs/docs/logging.md

Introduction

Logging is a very important part of any application. It allows you to see what is happening in your application, and is especially useful when debugging.

Logging is already built in Python though logging library, and we may add rich library to make it more beautiful.

=== "Poetry"

```bash
poetry add rich
```

=== "Conda"

```bash
conda install rich
```

There are several ways to write logging configuration. You can specify it with yaml file, ini file, json file, Python dict or simply as Python code.

If rich handler is used, you can only write the configuration as Python code.

References:

• Logging for ML Systems
• Python Logging Guide – Best Practices and Hands-on Examples