pyrefactor 1.0.25

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

PyRefactor

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

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: Index patterns, nested loops with lookups, loop-invariant calls
• 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(), dict comprehensions (R010)
• 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+

Status: PyRefactor is Production/Stable (see PyPI classifiers).

License: This project uses the Commercial Restricted License (CRL). Personal and non-commercial use is permitted; commercial use requires permission from the copyright holder.

See docs/CONFIGURATION.md for full configuration reference (TOML and INI formats).

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/

# Machine-readable JSON output for CI and tooling
pyrefactor --format json 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; when omitted, auto-discover pyproject.toml ([tool.pyrefactor]), then pyrefactor.ini, then built-in defaults
• -g, --group-by: Group text output by file or severity (default: file)
• --format: Output format: text (default) or json
• --min-severity: Minimum severity to report: info, low, medium, high (default: info). Also filters which issues count toward the exit code.
• -j, --jobs: Number of parallel workers (default: 4)
• -v, --verbose: Enable verbose logging
• --fail-on-parse-errors: Exit with code 1 when any file has a syntax or parse error
• --version: Show version

Exit Codes

Exit codes are computed after applying --min-severity. For example, --min-severity high exits 0 when only MEDIUM issues exist, because those issues are filtered out before the exit code is determined.

• 0 - No issues remain at or above --min-severity. Per-file syntax or parse errors are reported in output but do not change the exit code unless --fail-on-parse-errors is set.
• 1 - One or more issues remain at or above --min-severity, or parse errors when --fail-on-parse-errors is used
• 2 - Configuration, path, or orchestration error (invalid paths, missing config, no Python files to analyze, or all files excluded by patterns)

Analysis Limits

Files larger than 10 MB are skipped with a parse-style error message. This limit is fixed and not configurable.

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: --config → pyproject.toml → pyrefactor.ini → defaults

INI configuration (pyrefactor.ini)

See the repository's pyrefactor.ini for a full annotated example with every detector section. A minimal example:

[complexity]
enabled = true
max_cyclomatic_complexity = 10

[duplication]
enabled = true
min_duplicate_lines = 5
similarity_threshold = 0.85

[general]
exclude_patterns = __pycache__, .venv, build, dist

See docs/CONFIGURATION.md for the complete configuration reference.

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

This repository's Build-Release-PYPI workflow builds and publishes releases only; it does not run the test suite. Run python scripts/verify.py locally before release.

Example workflow for consumers (not maintained in this repository):

name: Code Quality
on: [push, pull_request]

jobs:
  pyrefactor:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-python@v5
        with:
          python-version: '3.12'
      - run: pip install pyrefactor
      - run: pyrefactor --min-severity medium --fail-on-parse-errors 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, self-lint, and pytest with coverage):

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 (same suite as verify, without formatting or lint steps):

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.