We need to enhance the existing project by adding logging functionality. Logging will help us track and troubleshoot the behaviour of the application, monitor its performance, and diagnose any issues that may arise during operation.
Tasks
Integrate a logging framework/library into the project (e.g., Python's logging module, Loguru, etc.).
Configure logging levels (e.g., DEBUG, INFO, WARNING, ERROR, etc.) based on the severity of the events.
Implement logging statements throughout the codebase to capture relevant information, such as request/response details, error messages, exceptions, etc.
Include timestamps and other contextual information in the log entries to facilitate analysis and debugging.
Store logs in a centralized location or specify a log file path for persistence.
Define a log rotation strategy to manage log file size and retention.
Ensure that sensitive information (e.g., passwords, access tokens) is not logged in plaintext.
Write unit tests to validate the logging functionality and verify that logs are generated as expected.
Document the logging configuration and usage guidelines for future reference.
Acceptance Criteria
Logs are successfully integrated into the project.
Logging statements are strategically placed to capture relevant events and information.
Logs adhere to the specified logging levels and formats.
Timestamps and contextual information are included in the log entries.
Log files are stored securely and are accessible for analysis.
Unit tests for logging functionality pass successfully.
Description
We need to enhance the existing project by adding logging functionality. Logging will help us track and troubleshoot the behaviour of the application, monitor its performance, and diagnose any issues that may arise during operation.
Tasks
Acceptance Criteria