pyan-unused-functions 0.1.2

Find unused functions in Python codebases - perfect for CLI usage and CI/CD pipelines

pyan-unused-functions

A Python static analysis tool to find unused functions in your codebase using AST (Abstract Syntax Tree) parsing. Perfect for CLI usage and CI/CD pipelines with GitHub Actions.

Features

• 🔍 Accurate Detection: Uses Python's built-in AST module for reliable parsing
• 🚀 Fast Analysis: Efficiently scans entire codebases
• 📊 Detailed Reports: Shows all defined functions and their usage
• 🎯 Smart Filtering: Automatically skips private functions (starting with _)
• 🔄 Class-Aware: Handles both module-level functions and class methods
• ⚡ Async Support: Recognizes async functions and methods
• 🤖 CI/CD Ready: Easy integration with GitHub Actions and other CI systems
• 🛠️ Lightweight: Minimal dependencies (requires pyan3 for enhanced analysis)

Installation

Install from PyPI:

pip install pyan-unused-functions

This will automatically install the required dependency: pyan3==1.1.1

Or install from source:

git clone https://github.com/yourusername/pyan-unused-functions.git
cd pyan-unused-functions
pip install -e .

Usage

💡 Quick Start: Check the examples/ directory for ready-to-use GitHub Actions workflows and Git hooks!

Command Line

Analyze a directory:

pyan-unused-functions /path/to/your/code

Analyze current directory:

pyan-unused-functions .

As a Python Module

from pathlib import Path
from pyan_unused_functions import analyze_codebase, find_unused_functions

# Analyze a codebase
root_path = Path("./my_project")
defined_functions, called_functions = analyze_codebase(root_path)

# Find unused functions
unused = find_unused_functions(defined_functions, called_functions)

print(f"Found {len(unused)} unused functions:")
for func in sorted(unused):
    print(f"  {func}")

Example Output

Analyzing Python code in: ./my_project
Analyzing 45 Python files...

=== Analysis Results ===
Total functions defined: 127
Total function calls found: 98
Potentially unused functions: 12

=== Potentially Unused Functions ===
  module_a.helper_function
  module_b.old_implementation
  utils.deprecated_method
  ...

Note: This analysis may have false positives for:
  - Functions called dynamically (getattr, exec, etc.)
  - Functions used in decorators or metaclasses
  - Functions called from other modules not analyzed
  - Entry points, CLI commands, or framework callbacks

How It Works

1. Discovery: Recursively finds all Python files in the specified directory
2. Parsing: Uses AST to parse each file and extract function definitions and calls
3. Analysis: Compares defined functions against called functions
4. Reporting: Identifies functions that are defined but never called

Limitations

This tool provides static analysis and may report false positives in the following cases:

• Dynamic calls: Functions invoked via getattr(), exec(), eval(), etc.
• Decorator usage: Functions used as decorators or in metaclasses
• External calls: Functions called from modules outside the analyzed directory
• Framework callbacks: Entry points, CLI commands, or framework-specific callbacks
• String-based invocation: Functions referenced by name strings

Always review the results and verify before removing any function!

GitHub Actions Integration

Basic Workflow

Create .github/workflows/check-unused-functions.yml:

name: Check Unused Functions

on:
  push:
    branches: [ main, develop ]
  pull_request:
    branches: [ main ]

jobs:
  analyze:
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v3
    
    - name: Set up Python
      uses: actions/setup-python@v4
      with:
        python-version: '3.11'
    
    - name: Install pyan-unused-functions
      run: pip install pyan-unused-functions
    
    - name: Check for unused functions
      run: pyan-unused-functions .

Advanced Workflow with Failure on Unused Functions

name: Code Quality Check

on: [push, pull_request]

jobs:
  check-unused-functions:
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v3
    
    - name: Set up Python
      uses: actions/setup-python@v4
      with:
        python-version: '3.11'
    
    - name: Install pyan-unused-functions
      run: pip install pyan-unused-functions
    
    - name: Analyze codebase
      id: analyze
      run: |
        OUTPUT=$(pyan-unused-functions . 2>&1)
        echo "$OUTPUT"
        echo "$OUTPUT" | grep -q "Potentially unused functions: 0" || exit 1
      continue-on-error: false
    
    - name: Comment on PR (if unused functions found)
      if: failure() && github.event_name == 'pull_request'
      uses: actions/github-script@v6
      with:
        script: |
          github.rest.issues.createComment({
            issue_number: context.issue.number,
            owner: context.repo.owner,
            repo: context.repo.repo,
            body: '⚠️ Unused functions detected! Please review the workflow logs.'
          })

Multi-Project Workflow

name: Check Multiple Projects

on: [push]

jobs:
  analyze:
    runs-on: ubuntu-latest
    strategy:
      matrix:
        directory: ['./backend', './frontend-utils', './scripts']
    steps:
    - uses: actions/checkout@v3
    
    - name: Set up Python
      uses: actions/setup-python@v4
      with:
        python-version: '3.11'
    
    - name: Install pyan-unused-functions
      run: pip install pyan-unused-functions
    
    - name: Check ${{ matrix.directory }}
      run: pyan-unused-functions ${{ matrix.directory }}

📖 More Examples: See examples/ for more GitHub Actions workflows including:

• Strict mode (fail on unused functions)
• Scheduled weekly checks with issue creation
• Multi-project/monorepo setups
• Pre-commit Git hooks

Configuration

The tool automatically skips common directories:

• .venv, venv (virtual environments)
• __pycache__ (Python cache)
• .git (version control)
• node_modules (JavaScript dependencies)
• .pytest_cache (pytest cache)

CI/CD Best Practices

Recommended Usage

• Pre-commit hooks: Run as a pre-commit check
• Pull request checks: Automatically analyze PRs
• Scheduled scans: Weekly cron jobs to catch accumulating unused code
• Release gates: Ensure no unused functions before releases

Exit Codes

The tool returns:

• 0 - Success (analysis completed)
• 1 - Error (invalid path, no files found, etc.)

Note: The tool doesn't fail on finding unused functions by default. Wrap with custom logic to enforce policies.

Development

Setup Development Environment

git clone https://github.com/yourusername/pyan-unused-functions.git
cd pyan-unused-functions
pip install -e .

Build Package

python -m build

Local Testing

# Test on your own codebase
pyan-unused-functions ./your-project

# Test on current directory
pyan-unused-functions .

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

Documentation

• CLI Usage Guide - Complete command-line reference
• Examples Directory - Ready-to-use GitHub Actions workflows and Git hooks
• Publishing Guide - How to publish to PyPI

License

This project is licensed under the MIT License - see the LICENSE file for details.

Changelog

Version 0.1.0 (Initial Release)

• Basic unused function detection
• AST-based parsing
• Command-line interface
• Class method support
• Async function support

Author

mhs - [e-mail]

Acknowledgments

• Built with Python's ast module
• Inspired by the need for better code quality tools