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()

See docs/RULES.md for the full rule catalog (C001–C006, P001–P007, B001/B004–B007, L001–L004, D001, R001–R016).

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):

python scripts/verify.py

On Windows you can also use py scripts/verify.py. The script uses sys.executable and absolute paths so it behaves the same on Windows, macOS, and Linux.

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-1.0.11.tar.gz (62.2 kB view details)

Uploaded Source

Built Distribution

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

pyrefactor-1.0.11-py3-none-any.whl (44.1 kB view details)

Uploaded Python 3

File details

Details for the file pyrefactor-1.0.11.tar.gz.

File metadata

  • Download URL: pyrefactor-1.0.11.tar.gz
  • Upload date:
  • Size: 62.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.6

File hashes

Hashes for pyrefactor-1.0.11.tar.gz
Algorithm Hash digest
SHA256 469d86167eef85f503e9155f6b6cf0a0a330daff5fc2697a55c015d1f7c2458b
MD5 b1179a2963fc9f5c07f57cc9f887b36e
BLAKE2b-256 9fa6a0605adcfe6c43974e9266be20607684dd289abf0775c9adf2266e1f0b7e

See more details on using hashes here.

File details

Details for the file pyrefactor-1.0.11-py3-none-any.whl.

File metadata

  • Download URL: pyrefactor-1.0.11-py3-none-any.whl
  • Upload date:
  • Size: 44.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.6

File hashes

Hashes for pyrefactor-1.0.11-py3-none-any.whl
Algorithm Hash digest
SHA256 62179a539838c43419e66ee4d85803d80551d85bf7ec9414ad9bb70c76088da6
MD5 dcf7c4d3f4bfa53d31bd372c19c5fe36
BLAKE2b-256 77bcdeb967b03312888700a3dcd7c9ee541d3d68165e563f1c10b50b04a01ef8

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