quick-logger-colorful 0.3.0

A lightweight Python logging library with sync/async support, colorful terminal output, auto exception capture and zero configuration.

Quick-Logger-Colorful

A lightweight Python logging tool with colorful terminal output(Otherwise, why would it be called Colorful?), automatic exception capture, sync/async support. Designed for fast integration in Python projects, supporting log grading and date-based log file splitting.

Features

• Log Grading: Supports 5 levels - DEBUG(0), INFO(1), WARN(2), ERROR(3), FATAL(4)
• Colorful Output: Distinct colors for better visibility:
  • DEBUG: Cyan
  • INFO: Green
  • WARN: Yellow
  • ERROR: Red
  • FATAL: Red background + White text
• Auto Exception Capture: One-line decorator for both sync/async functions, with fatal exception marking
• Zero Configuration: Automatically creates log directories and configuration files on first run
• Date-based Splitting: Generates separate log files for each day to avoid oversized files
• Dual Mode Support: Sync logging (core module) + Async logging (asynclog module)
• Mode Switch: Toggle debug/production mode with -O command-line argument

Installation

PyPI Installation (Recommended)

pip install quick-logger-colorful

Local Installation

1. Clone the repository:

   git clone https://github.com/huyuenshen/quick-logger.git
   cd quick-logger
   

2. Install from source:

   pip install .
   

Quick Start

1. Sync Logging (Core Module)

from quick_logger import Datalog, start_logger

# Initialize logger
logger = Datalog()

# Log messages of different levels
logger.log("This is a DEBUG message", typ=0)
logger.log("This is an INFO message", typ=1)
logger.log("This is a WARN message", typ=2)
logger.log("This is an ERROR message", typ=3)
logger.log("This is a FATAL message", typ=4)  # New FATAL level

# Exception capture with decorator (mark specific exceptions as FATAL)
@start_logger
def test_function():
    logger.log("Running sync test function", typ=1)
    raise KeyError("Critical error (marked as FATAL)")  # Triggers FATAL log

if __name__ == "__main__":
    try:
        test_function()
    except Exception:
        pass

2. Async Logging (asynclog Module)

For asynchronous functions, use the asynclog module to avoid blocking the event loop:

import asyncio
from quick_logger import asynclog

async def async_test_func():
    logger = asynclog.Datalog()
    await logger.log("This is an async INFO message", typ=1)
    await logger.log("This is an async FATAL message", typ=4)  # Async FATAL log
    await asyncio.sleep(1)  # Simulate async work (non-blocking)

# Async decorator with fatal exception marking
@asynclog.start_logger
async def wrapped_async_func():
    await async_test_func()
    raise KeyError("Async fatal error")  # Triggers FATAL log

if __name__ == "__main__":
    asyncio.run(wrapped_async_func())

Mode Switch

• Debug Mode (Default): Shows all log levels (DEBUG/INFO/WARN/ERROR/FATAL)

  python your_script.py
  

• Production Mode: Hides DEBUG level (shows INFO/WARN/ERROR/FATAL)

  python your_script.py -O
  

Configuration

Auto-generated Config File

On first run, a configuration file is created at ./Datalog/.config/Config.json with the following default content:

{
    "pattern": "[{time}][{func}][{level}]:{msg}",
    "file": "./Datalog/{date}.log.txt"
}

• pattern: Log format template (supports {time}, {func}, {level}, {msg})
• file: Log file path ({date} is replaced with the current date, e.g., 2025-12-25.log.txt)

Custom Log Format

Modify the pattern field to customize the log format, e.g.:

{
    "pattern": "[{time}] [{level}] [{func}] - {msg}"
}

Compatibility

• Python Versions: 3.7+
• Platforms: Windows, macOS, Linux, Android (Python compilers like Pydroid)

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

Issues and pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.