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I Built a Custom Python Logger Module without OOP (Console, File & DB Logging)

#python #programming #softwaredevelopment #beginners

Table of Contents

Overview

This project is a custom logging module built from scratch in Python using Procedural programming.
It provides a structured, extensible, and lightweight way to capture, format, and store log messages across multiple output formats (console, file, and database).

Features

Key highlights of ESTROSEC’s Python Logger:

  • Multi-Type Logging — TRACE, DEBUG, INFO, SUCCESS, WARNING, ERROR, FATAL
  • Multi-Level Logging — ALL, HIGH, MEDIUM, LOW
  • Multi-Output Logging — Console, File, SQLite Database
  • Named Loggers — Create multiple loggers with custom names/categories
  • Configurable File Logging — Choose custom file paths for .log files
  • Toggleable Outputs — Enable/disable console, file, or DB logging dynamically
  • Seamless Procedural Integration — Designed for easy integration into Procedural-based projects
  • Lightweight & Reusable — Plug-and-play across Python projects

Showcase

Console Logging

  • Clean, modern formatting with coloured output
  • Format: [LoggerName] [Timestamp] [Level] Message

Console Logging

File Logging

  • Same format as console logging (no colours)
  • Stored in .log files for persistence

File Logging

Database Logging (SQLite3)

  • Logs stored in a structured SQLite database
  • Data separated into columns for easy querying & analysis
  • Current limitation: DB file stored in a fixed location (configurable in future roadmap)

Database Logging

Getting Started

1. Download the Code

Download the latest release to get the logger.py module.

2. Add to Your Project

Place the logger.py file in your project directory:

Your-Project/
 ├─ main.py
 └─ logger.py
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3. Import the Logger 

import logger
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Usage

Create a Logger 

log = logger.create_logger("MyLogger")
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Initialize the Logger 

logger.initialize_logger(log, True, True)
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Console Logging 

logger.fatal(log, "Testing Fatal Log Message %s %d %f" % ("Testing String Concat", 5, 5.5))
logger.error(log, "Testing Error Log Message %s %d %f" % ("Testing String Concat", 5, 5.5))
logger.warning(log, "Testing Warning Log Message %s %d %f" % ("Testing String Concat", 5, 5.5))
logger.success(log, "Testing Success Log Message %s %d %f" % ("Testing String Concat", 5, 5.5))
logger.information(log, "Testing Information Log Message %s %d %f" % ("Testing String Concat", 5, 5.5))
logger.debug(log, "Testing Debug Log Message %s %d %f" % ("Testing String Concat", 5, 5.5))
logger.trace(log, "Testing Trace Log Message %s %d %f" % ("Testing String Concat", 5, 5.5))
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Enable File Logging 

log.set_toggle_file_logging(True)
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Enable Database Logging 

logger.set_toggle_file_logging(log, True)
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Set File Path for Logs 

logger.set_file_path(log, "C:\\Users\\YourName\\logs")
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Control Log Levels

Available options:

  • ALL — Logs all message types
  • HIGH — Logs FATAL, ERROR, WARNING, SUCCESS
  • MEDIUM — Logs FATAL, ERROR, WARNING
  • LOW — Logs FATAL, ERROR 
logger.set_log_level(log, LogLevel.LOW)
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Tech Stack

  • Language: Python 3
  • Modules: inspect, os, enum, datetime, sqlite3
  • Tools: PyCharm, DataGrip, GitHub, Git

Roadmap

  • SQLite Logging
  • MySQL Logging
  • Multi-threaded Logging
  • Async Logging
  • Custom Log Message Types

Resources

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