dglog 1.0.0.1

Advanced configurable logger for Python with file rotation and CLI support

DivineGift Logger

A flexible and configurable logging package for Python applications with file rotation and command-line configuration support.

Features

• ✅ Easy configuration via code or command-line arguments
• ✅ File rotation with customizable intervals
• ✅ Both file and console logging support
• ✅ Thread-safe implementation
• ✅ Type hints for better IDE support
• ✅ Exception logging with stack traces

Installation

pip install dglog

Basic Usage

Simple console logging

from dglog import get_logger

logger = get_logger()
logger.configure_logger()
logger.info("Application started")
logger.warning("This is a warning")

Configure logger programmatically

from dglog import configure_logger

# Configure with daily file rotation
configure_logger(
    log_level="DEBUG",
    log_name="app.log",
    log_dir="./logs",
    when="D",
    backup_count=14
)

log_info("This will be logged to file")

Command-line configuration

Run your script with logging parameters:

python your_script.py --log_level DEBUG --log_name app.log --log_dir ./logs

The logger will automatically pick up these parameters.

API Reference

Core Functions

Function	Description
get_logger()	Returns the global logger instance
configure_logger(**kwargs)	Configures the global logger
log_debug(*args, separator=" ")	Logs debug message
log_info(*args, separator=" ")	Logs info message
log_warning(*args, separator=" ")	Logs warning message
log_error(*args, separator=" ")	Logs error message
log_critical(*args, separator=" ")	Logs critical message
log_exception(*args, separator=" ")	Logs exception with stack trace

Logger Class Methods

from dglog import get_logger

logger = get_logger()

# Configuration
logger.configure_logger(
    log_level="INFO",          # Logging level
    log_name=None,             # File name (None for console)
    log_dir="./logs",          # Log directory
    when="midnight",          # Rotation interval
    interval=1,               # Rotation frequency
    backup_count=7,           # Number of backups
    formatter=None            # Custom formatter
)

# Logging methods
logger.debug("Debug message")
logger.info("Information")
logger.warning("Warning message")
logger.error("Error occurred")
logger.critical("Critical failure")
logger.exception("Exception occurred")  # With stack trace

Advanced Examples

Custom Formatter

from logging import Formatter
from dglog import configure_logger

custom_format = Formatter('%(name)s - %(levelname)s - %(message)s')
configure_logger(log_level="DEBUG", formatter=custom_format)

Exception Handling

from dglog import log_exception

try:
    1 / 0
except Exception:
    log_exception("Division failed")
    # Output includes the stack trace

Multiple Arguments

log_info("User", "logged in", "from IP", "192.168.1.1", separator=" | ")
# Output: User | logged in | from IP | 192.168.1.1

Dynamic Configuration

import sys
from dglog import get_logger

logger = get_logger()

if '--debug' in sys.argv:
    logger.configure_logger(log_level="DEBUG")
else:
    logger.configure_logger(log_level="INFO")

Configuration Parameters

Parameter	Default	Description
log_level	"INFO"	Logging level (DEBUG, INFO, WARNING, ERROR, CRITICAL)
log_name	None	Log file name (None for console logging)
log_dir	"./logs"	Directory for log files
when	"midnight"	Rotation interval ('S', 'M', 'H', 'D', 'midnight', etc.)
interval	1	Rotation frequency
backup_count	7	Number of backup files to keep
formatter	Default format	Custom log message formatter

Best Practices

1. Early Configuration: Configure the logger at the start of your application
2. Proper Log Levels: Use appropriate levels for different situations
3. Structured Data: Include context in your log messages
4. Exception Handling: Always use log_exception() for errors
5. Rotation Policy: Choose appropriate rotation settings based on your needs

License

MIT License - Free for commercial and personal use.