Welcome to Influx Logger

Influx Logger is a powerful, flexible logging library designed to facilitate seamless logging within your applications. It integrates well with InfluxDB to store and analyze log data efficiently. This comprehensive guide will introduce you to Influx Logger and provide you with numerous API explanations and code snippets to get you started.

Getting Started

First, install the influx-logger library:

  pip install influx-logger

Initializing the Logger

Start by initializing the Influx Logger with the necessary configurations:

  
    from influx_logger import InfluxLogger

    logger = InfluxLogger(
        influx_url='http://localhost:8086',
        token='your-token',
        org='your-org',
        bucket='your-bucket'
    )
  

Logging Messages

Log messages with varying severity levels:

  
    logger.info('This is an info message')
    logger.warning('This is a warning message')
    logger.error('This is an error message')
  

Logging with Context

Add context to your log messages for better traceability:

  
    logger.info('User logged in', user_id=12345, ip_address='192.168.1.1')
  

Batch Logging

Use batch logging to improve performance:

  
    with logger.batch():
        logger.info('Batch message 1')
        logger.info('Batch message 2')
  

Custom Log Levels

Create and use custom log levels:

  
    from influx_logger import CustomLogLevel

    logger.add_custom_level(CustomLogLevel('CUSTOM_LEVEL', 25))
    logger.log('CUSTOM_LEVEL', 'This is a custom log message')
  

Using Influx Formatter

Implement custom formatting for logs:

  
    from influx_logger import InfluxFormatter

    formatter = InfluxFormatter(fmt='{level} - {message}', datefmt='%Y-%m-%d %H:%M:%S')
    logger.setFormatter(formatter)
  

Integrating with an Application

Here’s an example of how to integrate Influx Logger into a simple application:

  
    from flask import Flask
    from influx_logger import InfluxLogger

    app = Flask(__name__)

    logger = InfluxLogger(
        influx_url='http://localhost:8086',
        token='your-token',
        org='your-org',
        bucket='your-bucket'
    )

    @app.route('/')
    def home():
        logger.info('Home page accessed')
        return 'Welcome to the Home Page'

    @app.route('/login')
    def login():
        logger.info('Login page accessed', user_id=12345)
        return 'Login Page'

    if __name__ == '__main__':
        app.run(debug=True)
  

By following these examples, you can effectively implement and leverage Influx Logger for your logging requirements, ensuring robust log management and analysis for your applications.

Happy Logging!

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