logab 0.2.0

A lightweight Python package for structured logging with automatic balance (ab) formatting for cleaner, more readable output.

logab 🐢

A lightweight Python package for structured logging with automatic balance (ab) formatting for cleaner, more readable output.

• 🤤 Python built-ins only
• 🤯 No dependencies
• 🥵 Minimal set-up

Table of Contents

• Installation
• How to use
  • log_wrap()
  • log_init()
  • example
• Automatic balance
• Upcoming features

🛠️ Installation

pip install logab

🔎 How to use

logab provides two functions: log_wrap() and log_init()

🌮 log_wrap()

log_wrap() is a ready-to-use wrapper with pre-configured logging. log_wrap() should be used only once at the program's entry point to configure logging globally.

Parameters:

• log_file: file path for storing logs. If not specified, logs will be printed to the terminal.
• log_level: severity level of log messages being recorded. Defaults to "info"
• print_level: severity level of all messages output by print() command. Defaults "info"

🍉 log_init()

The logab package supports logging through three methods:

• Using print(): simple built-in Python function for basic output.
• Using logging: Python's standard logging module for structured and configurable logging.
• Using log_init(): works just like Python's logging.getLogger(__name__), just shorter syntax so I don't have to write some boilerplate code hehe.

All three methods are compatible with the logab package, as long as they are used within the log_wrap() context. Usage example is provided in the next section.

🍻 example

import logging
from logab import log_init, log_wrap

def main_func():
    # We can log using Python's logging module
    logger_python = logging.getLogger(__name__)
    logger_python.warning("Warning message using Python's logging")
    # or logab's log_init()
    logger = log_init()
    logger.critical("Critical message using logab's log_init()")
    # or print() (default level is "info", can be configured through log_wrap())
    print("Debug message using print()")

if __name__=="__main__":
    with log_wrap(log_file="./app.log", log_level="debug", print_level="debug" ):
        logger = log_init()
        logger.info("Prepare to do main_func")
        main_func()
        logger.info("Finish main_func")
        x = 0
        print(10/x)

Output log messages in "./app.log":

PID   | Time                    | Level       | Function  |    File:No | Message
------+-------------------------+-------------+-----------+------------+-----------------------------------------
35814 | 2025-05-15 14:22:15,950 | 🔵 info     | <module>  | main.py:19 | Prepare to do main_func
35814 | 2025-05-15 14:22:15,954 | 🟡 warning  | main_func | main.py:9  | Warning message using Python's logging
35814 | 2025-05-15 14:22:15,955 | 🟣 critical | main_func | main.py:12 | Critical message using logab's log_init()
35814 | 2025-05-15 14:22:15,955 | 🟢 debug    | main_func | main.py:14 | Debug message using print()
35814 | 2025-05-15 14:22:15,955 | 🔵 info     | <module>  | main.py:21 | Finish main_func
35814 | 2025-05-15 14:22:15,958 | 🔴 error    | log_wrap  |   logab:0  | division by zero
------+-------------------------+-------------+-----------+------------+-----------------------------------------
Traceback (most recent call last):
  File "/home/namkha/Documents/mydev/logab/logab/log_utils.py", line 179, in log_wrap
    yield
  File "/home/namkha/Documents/mydev/logab/main.py", line 23, in <module>
    print(10/x)
          ~~^~
ZeroDivisionError: division by zero
------+-------------------------+-------------+-----------+------------+-----------------------------------------
35814 | 2025-05-15 14:22:15,958 | 🔵 info     | log_wrap  |   logab:0  | Execution time 0.0085 seconds

⚖️ Automatic balance

Log messages will be displayed in a table format. Each column automatically adjusts its width to fit the longest value in that column, ensuring the entire table remains clearly visible and easy to read.

⏳ Upcoming features

• Log rotation & retention: automatically create new files to handle large-size files
• Structured logging: support for structured (dict-style) logs
• Thread/process-safe logging: Ensure logging from multiple threads/proccesses is handled correctly
• ...