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A simple Python logger with colors and file output

Project description

Smart Logger 📝

Smart Logger is a highly customizable Python logger with colored console output, file logging, daily rotation, unique directories, and context support. Perfect for projects where structured logging and contextual information are essential.


📦 Installation

pip install smlog

🚀 Quick Start

from logger import Logger

logger = Logger(
    name="MyApp",
    min_level="DEBUG",
    use_colors=True,
    log_to_file=True,
    log_dir="logs",
    rotate_daily=True,
    unique_dir=True,
    console=True
)

logger.debug("This is a debug message")
logger.info("Informational message", user="Nikita")
logger.warning("Warning message")
try:
    1 / 0
except Exception as e:
    logger.error("Error occurred", exc=e)

logger.bind(session_id="12345", user="Nikita")
logger.info("Message with context")
logger.unbind("session_id")  # Remove a single key

⚙️ Features

1. Colored Console Output
- DEBUG  Blue
- INFO  Cyan
- WARNING  Yellow
- ERROR  Red
- DATE  Magenta
- MESSAGE  Cyan
Colors can be disabled using use_colors=False.

2. File Logging
Logs can be saved to a specific directory (log_dir).
Supports daily rotation (rotate_daily=True).
Unique directories can be created with unique_dir=True to avoid overwriting existing logs.

3. Custom Format
Use set_format(fmt) to customize log format:
logger.set_format("[{time}] [{level}] ({name}) {msg} | {context}")
Available fields:
- {time}  current date and time
- {level}  log level
- {name}  logger name
- {msg}  log message
- {context}  optional context
Context is only included if it exists. The | separator is automatically omitted if empty.

4. Context Management
Add context globally with bind:
logger.bind(user="Nikita", session="xyz")
logger.info("Message with context")
logger.unbind("session")  # Remove a key
logger.unbind()  # Clear all context

5. Log Levels
Supported levels: DEBUG, INFO, WARNING, ERROR.
Filter logs by min_level:

    logger = Logger(min_level="WARNING")
    logger.debug("This will not show")  # Skipped
    logger.error("This will show")
    Invalid levels will suggest the closest match:
    logger.log("INF", "Message")  # Did you mean "INFO"?

6. Format Help
Prints available fields and example usage:
logger.show_format_help()
Example output:
    ==========================
    Available parameters: ['time', 'level', 'name', 'msg', 'context']
    Example: [{time}] [{level}] ({name}) {msg}{context}
    [NOTICE] If you want to add 'context', do it as shown in the example!
    ==========================

🛠️ Logger Constructor

Parameter Type Default Description
name str "root" 🏷 Logger name
min_level str "DEBUG" ⚡ Minimum log level
use_colors bool True 🎨 Enable colored output in console
log_to_file bool False 💾 Save logs to file
log_dir str "logs" 📂 Directory for log files
rotate_daily bool False 🗓 Create a new file each day
unique_dir bool False ✨ Create a unique directory if one exists
console bool True 🖥 Print messages to console

📝 Example Usage

logger = Logger(
    name="MyApp",
    min_level="DEBUG",
    log_to_file=True,
    log_dir="my_logs",
    rotate_daily=True,
    unique_dir=True
)

logger.bind(user="Nikita", env="production")
logger.info("App started")
logger.warning("High load warning")
try:
    *here is your error*
except Exception as e:
    logger.error("Connection error", exc=e)
logger.unbind("env")
logger.debug("Debugging info", ip="127.0.0.1")

Example log file output:
    [2026-01-27 15:42:10] [INFO] (MyApp) App started | user=Nikita, env=production
    --------------------
    [2026-01-27 15:42:15] [WARNING] (MyApp) High load warning | user=Nikita, env=production
    --------------------
    [2026-01-27 15:42:20] [ERROR] (MyApp) Connection error | user=Nikita, env=production
    --------------------

✅ Features Summary

Lightweight, clean Python logger Colored and formatted console output Context support for dynamic logging File logging with optional daily rotation Unique directories to avoid overwriting logs Full Python 3.7+ support

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