pro-logging 1.0.0

An advanced logging package for Python projects

Pro Logging

Pro Logging is an advanced, fully customizable logging package for Python projects. It allows developers to log their application's processes to both a log file and an optional database. This package supports various features such as log rotation, different log levels, JSON format logging, and database storage.

Features

• Log Levels: DEBUG, INFO, WARNING, ERROR, CRITICAL
• Log Rotation: Supports both file size-based and date-based log rotation
• JSON Format: Option to log messages in JSON format
• Database Logging: Store logs in an SQLite database for easier management and analysis
• Console Output: Print log messages to the console
• Customization: Users can configure log file name, log levels, rotation settings, and more

Installation

Install the package using pip:

pip install pro-logging

Usage

Here's a basic example of how to use the pro-logging package:

from pro_logging import AdvancedLogger

# Initialize the logger
logger = AdvancedLogger(
    log_filename='app.log',  # Log file name
    level="DEBUG",           # Log level
    log_to_console=True,     # Output to console
    rotate_logs=True,        # Enable log rotation
    max_size_mb=10,          # Maximum log file size before rotation
    json_format=True,        # Log in JSON format
    db_path='app_logs.db'    # Path to the SQLite database for logs
)

# Log some messages
logger.log_info("This is an informational message.")
logger.log_error("This is an error message.")
logger.log_debug("This is a debug message.")

Example

Logging with Different Levels

logger.log_debug("Debugging the application")
logger.log_info("Application is running")
logger.log_warning("This is a warning")
logger.log_error("An error occurred")
logger.log_critical("Critical system failure")

Log Rotation

You can rotate logs based on file size or date.

# Enable file size-based log rotation
logger = AdvancedLogger(rotate_logs=True, max_size_mb=5)

# Enable date-based log rotation
logger = AdvancedLogger(date_based_rotation=True)

Database Logging

Logs can also be stored in an SQLite database for further analysis.

logger = AdvancedLogger(db_path='app_logs.db')

# Log messages will be saved in the database
logger.log_info("This log is saved in the database as well.")

Customization

You can adjust log settings such as file name, log level, JSON formatting, and more:

logger = AdvancedLogger(
    log_filename='custom.log',
    level="WARNING",
    json_format=True
)