Improvements: Add Logging System to the Project

[Zingzy]

Description

Implement a comprehensive logging system to track and record application events. This will help in monitoring the application's behavior, debugging issues, and maintaining a record of significant events.

Tasks

• Select Logging Framework

  • Research and select a suitable logging framework for the project (e.g., Python's logging module).
  • Ensure the framework is compatible with the existing technology stack.

• Design Logging Strategy

  • Define the logging levels (e.g., DEBUG, INFO, WARNING, ERROR, CRITICAL).
  • Determine what events and information should be logged at each level.

• Implement Logging Configuration

  • Set up the logging configuration, including log format, log rotation, and log storage.
  • Ensure the configuration is flexible and can be easily modified.

• Integrate Logging into the Application

  • Add logging statements to key parts of the application to capture important events and errors.
  • Ensure logging is implemented consistently across the entire codebase.

• Test Logging Functionality

  • Write unit tests to verify that logging is working correctly.
  • Perform integration tests to ensure that logs are being recorded as expected.

• Monitor and Analyze Logs

  • Set up tools to monitor and analyze the logs (e.g., ELK stack, Splunk).
  • Ensure that logs can be easily searched and analyzed to identify issues and trends.

Additional Notes

Use Better Stacks Logging System for the Logger

[Zingzy]

Option 1

Asynchronous Logging: use asynchronous tasks (e.g., Celery, or background workers) for logging to ensure non-blocking operations

Option 2

Batch Logging: Instead of logging every click individually, you can batch log data (e.g., every few seconds or clicks), which reduces the number of database write operations