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Style Guide for CodeSyncHub

Overview

This document outlines coding conventions and best practices to maintain consistency, readability, and quality in the CodeSyncHub project.

Coding Conventions

General Principles

  • Readability: Write clear, understandable code with descriptive names for functions, variables, and classes.
  • Simplicity: Favor simplicity over complexity. Avoid over-engineering.

Python Specifics

  • Follow PEP 8 style guide for Python code.
  • Use four spaces for indentation.

Error Handling

  • Implement robust error handling. Avoid silent failures and use meaningful error messages.

Comments and Documentation

  • Write comments for complex logic or areas where clarification may be needed.
  • Use docstrings for modules, classes, and functions.

Linting

  • Use flake8 for linting Python code.
  • Run the linter locally before submitting a pull request.

Testing

  • Aim for comprehensive test coverage. Write unit tests for all new code where feasible.
  • Follow Python's standard unittest framework for writing tests.

Version Control

Commits

  • Write clear, concise commit messages. First line should be a summary (less than 50 characters), followed by a blank line and then a more detailed explanation if needed.

Branching

  • Use feature branches for new features (e.g., feature/new-sync-feature) and bug fixes (e.g., bugfix/issue-fix).

Performance

  • Write efficient code. Be mindful of algorithm complexity and resource usage.

Security

  • Never commit sensitive data like tokens or secrets.
  • Use environment variables for configuration.