Skip to main content

A Python refactoring and optimization linter that analyzes code for performance issues, complexity problems, and opportunities for improvement

Project description

PyRefactor

A Python refactoring and optimization linter that uses AST analysis to identify performance issues, complexity problems, and code improvements.

Python 3.12+

Features

  • Multi-threaded Analysis: Fast parallel file processing
  • Configurable Detectors: Enable/disable specific detectors
  • Severity Levels: Issues categorized as INFO, LOW, MEDIUM, or HIGH
  • Flexible Output: Group by file or severity
  • Cross-platform: Works on Windows, macOS, and Linux

Detectors

  • Complexity: High cyclomatic complexity functions
  • Performance: String concatenation in loops (thresholded), repeated uncached calls in loops, inefficient operations
  • Boolean Logic: Overcomplicated boolean expressions
  • Loops: Nested loops, invariant code, comprehension opportunities
  • Duplication: Duplicate code blocks
  • Context Manager: Missing with statements for resource operations
  • Control Flow: Unnecessary else after return/raise/break/continue
  • Dictionary Operations: Non-idiomatic dict patterns, missing .get(), unnecessary .keys()
  • Comparisons: Chained comparisons, singleton checks, type() vs isinstance()

Installation

Recommended: Via pip

pip install pyrefactor

Standalone Executable

Download the latest release from the Releases section. No Python installation required.

From Source

git clone https://github.com/tboy1337/PyRefactor.git
cd PyRefactor
pip install -e .

Requirements: Python 3.12+

Usage

# Analyze a file or directory
pyrefactor myfile.py
pyrefactor src/

# Show only medium/high severity issues
pyrefactor --min-severity medium src/

# Group by severity level
pyrefactor --group-by severity src/

# Use more workers for faster analysis
pyrefactor --jobs 8 src/

# Custom configuration file
pyrefactor --config custom.toml src/

Options

  • -c, --config: Configuration file path (default: pyproject.toml)
  • -g, --group-by: Group by file or severity (default: file)
  • --min-severity: Minimum severity to report: info, low, medium, high (default: info)
  • -j, --jobs: Number of parallel workers (default: 4)
  • -v, --verbose: Enable verbose logging
  • --version: Show version

Exit Codes

  • 0 - No issues or only INFO/LOW severity
  • 1 - MEDIUM/HIGH severity issues found
  • 2 - Analysis error (syntax errors, invalid paths)

Configuration

Configure via TOML file (e.g., pyproject.toml):

[tool.pyrefactor]
exclude_patterns = ["__pycache__", ".venv", "build", "dist"]

[tool.pyrefactor.complexity]
enabled = true
max_cyclomatic_complexity = 10
max_branches = 10
max_nesting_depth = 3
max_function_lines = 50
max_arguments = 5
max_local_variables = 15

[tool.pyrefactor.performance]
enabled = true
min_concatenations = 3
min_duplicate_calls = 3

[tool.pyrefactor.boolean_logic]
enabled = true
max_boolean_operators = 3

[tool.pyrefactor.loops]
enabled = true

[tool.pyrefactor.duplication]
enabled = true
min_duplicate_lines = 5
similarity_threshold = 0.85

[tool.pyrefactor.context_manager]
enabled = true

[tool.pyrefactor.control_flow]
enabled = true

[tool.pyrefactor.dict_operations]
enabled = true

[tool.pyrefactor.comparisons]
enabled = true

Configuration is searched in: --configpyproject.tomlpyrefactor.ini → defaults

Note: The PyPI package version (pyproject.toml) may differ from GitHub release build numbers used for standalone executables.

CI/CD Integration

Pre-commit Hook

repos:
  - repo: local
    hooks:
      - id: pyrefactor
        name: PyRefactor
        entry: pyrefactor
        language: system
        types: [python]
        args: [--min-severity=medium]

GitHub Actions

name: Code Quality
on: [push, pull_request]

jobs:
  pyrefactor:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - uses: actions/setup-python@v4
        with:
          python-version: '3.12'
      - run: pip install pyrefactor
      - run: pyrefactor --min-severity medium src/

Contributing

Contributions are welcome! This project is under a Commercial Restricted License (CRL). For commercial use, contact the copyright holder.

Development

Install the package with development dependencies:

pip install -e ".[dev]"

Alternatively:

pip install -e .
pip install -r requirements-dev.txt

Run the local verification script (formatting, type checks, lint, security scan, tests):

py scripts/verify.py

Run tests directly:

pytest
  1. Follow existing code style (Black, isort)
  2. Add tests for new features (>90% coverage)
  3. Run type checking and linting

License

Licensed under the CRL license - see LICENSE.md for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyrefactor-1.0.9.tar.gz (58.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyrefactor-1.0.9-py3-none-any.whl (42.6 kB view details)

Uploaded Python 3

File details

Details for the file pyrefactor-1.0.9.tar.gz.

File metadata

  • Download URL: pyrefactor-1.0.9.tar.gz
  • Upload date:
  • Size: 58.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.6

File hashes

Hashes for pyrefactor-1.0.9.tar.gz
Algorithm Hash digest
SHA256 84bc0bf9adc9b6432ba29a06bf44ae3c9f6d19aa34bd306b70dbd7df318b49d1
MD5 ff024dbf00b2f7628bc8277f06b493f7
BLAKE2b-256 6ceba88ffdb8a983fe8b04cd24241b82b8035970cd3b7f4bd804ad2a0c54b539

See more details on using hashes here.

File details

Details for the file pyrefactor-1.0.9-py3-none-any.whl.

File metadata

  • Download URL: pyrefactor-1.0.9-py3-none-any.whl
  • Upload date:
  • Size: 42.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.6

File hashes

Hashes for pyrefactor-1.0.9-py3-none-any.whl
Algorithm Hash digest
SHA256 ac0d6a8a71ada0fee92fd1c5bc0eb454840ea4323e169f2d848b07fe13afb0d0
MD5 38f446b4c2ac828fc60b864476f2e7e5
BLAKE2b-256 aa815a16c16cf6a5f55eb2308b9b8e99f6e0aec9e126dac76ff31b1408d4fc9e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page