The Ultimate Guide to Dimlogger for Enhanced Data Logging and Analysis





The Ultimate Guide to Dimlogger for Enhanced Data Logging and Analysis

Welcome to the Ultimate Guide to Dimlogger

Dimlogger is a powerful and versatile tool designed for comprehensive data logging and analysis. Below, we introduce dozens of its useful APIs with code snippets and provide an app example that leverages these APIs to showcase Dimlogger’s full potential.

Getting Started with Dimlogger

To begin using Dimlogger, you need to install the library:

    
      pip install dimlogger
    
  

Basic Logging

Start by creating a simple log entry:

    
      import dimlogger

      logger = dimlogger.getLogger('simple')
      logger.log('This is a basic log entry')
    
  

Levels of Logging

Use different logging levels for varied granularity:

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

Structured Logging

Log structured data for better analysis:

    
      logger.log({
          'event': 'user_login',
          'user': 'johndoe',
          'timestamp': '2023-10-01T12:34:56'
      })
    
  

Custom Handlers

Create custom handlers for logging:

    
      class CustomHandler(dimlogger.Handler):
          def emit(self, record):
              print(f'Custom log: {record}')
      
      custom_handler = CustomHandler()
      logger.addHandler(custom_handler)
      logger.log('This will go to the custom handler')
    
  

File Logging

Log entries to a file:

    
      file_handler = dimlogger.FileHandler('logfile.log')
      logger.addHandler(file_handler)
      logger.log('This will be logged in logfile.log')
    
  

Rotating File Logging

Use rotating file handler for large logs:

    
      rotating_handler = dimlogger.RotatingFileHandler('rotating_log.log', maxBytes=1000, backupCount=3)
      logger.addHandler(rotating_handler)
      for i in range(1000):
          logger.log(f'Log entry {i}')
    
  

Network Logging

Send log entries over the network:

    
      network_handler = dimlogger.SocketHandler('localhost', 9999)
      logger.addHandler(network_handler)
      logger.log('This will be sent to a network socket')
    
  

Creating a Logging App

Putting it all together, here is an example of a logging app:

    
      import dimlogger
      import socketserver

      class LogHandler(socketserver.BaseRequestHandler):
          def handle(self):
              data = self.request.recv(1024).strip()
              print(f'Received log: {data}')

      if __name__ == '__main__':
          # Create a logger
          app_logger = dimlogger.getLogger('app')

          # Adding handlers
          file_handler = dimlogger.FileHandler('app_log.log')
          app_logger.addHandler(file_handler)
          network_handler = dimlogger.SocketHandler('localhost', 9999)
          app_logger.addHandler(network_handler)
          
          # Log some entries
          app_logger.log('App started')
          app_logger.info('App is running')
          app_logger.error('App encountered an error')

          # Start the network log receiver
          server = socketserver.TCPServer(('localhost', 9999), LogHandler)
          server.serve_forever()
    
  

In this example, we create a logger, add file and network handlers, and log various messages. We also set up a TCP server to receive network logs, demonstrating the versatility of Dimlogger in real applications.

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