stubgen-pyx 0.2.3

Generates `.pyi` files from Cython modules in a given package directory.

stubgen-pyx

Generate Python stub files (.pyi) from Cython source code (.pyx/.pxd)

Automatic stub file generation for Cython extensions that enables full IDE support and type checking for Cython modules.

Table of Contents

• Features
• Installation
• Quick Start
• Usage
• How It Works
• Supported Cython Features
• Configuration Options
• Development
• Contributing

Features

Comprehensive Cython Support

• Extracts type information from Cython source files
• Preserves docstrings and function signatures
• Handles both .pyx and .pxd files
• Supports class hierarchies and inheritance

Smart Processing

• Automatic import trimming and deduplication
• Cython type normalization (e.g., bint → bool, unicode → str)
• Proper handling of positional-only and keyword-only arguments
• Preserves decorators and class metadata

Installation

pip install stubgen-pyx

Quick Start

Generate stubs for all Cython files in the current directory:

stubgen-pyx .

Or use the Python API:

from stubgen_pyx import StubgenPyx
from pathlib import Path

stubgen = StubgenPyx()
results = stubgen.convert_glob("**/*.pyx")

for result in results:
    if result.success:
        print(f"Generated: {result.pyi_file}")
    else:
        print(f"Failed: {result.pyx_file}")
        print(f"  Error: {result.error}")

Usage

Command Line

Basic usage:

# Convert all .pyx files in current directory
stubgen-pyx .

# Convert files in a specific directory
stubgen-pyx /path/to/cython/package

# Use custom glob pattern
stubgen-pyx . --file "**/*.pyx"

Advanced options:

# Write .pyi files to a custom directory
stubgen-pyx . --output-dir stubs/

# Preview changes without writing
stubgen-pyx . --dry-run

# Enable verbose logging
stubgen-pyx . --verbose

# Continue processing even if some files fail
stubgen-pyx . --continue-on-error

# Customize postprocessing
stubgen-pyx . --no-sort-imports --no-trim-imports

Disable specific transformations:

# Disable import sorting
stubgen-pyx . --no-sort-imports

# Don't trim unused imports
stubgen-pyx . --no-trim-imports

# Don't normalize Cython types (keep bint, unicode, etc.)
stubgen-pyx . --no-normalize-names

# Exclude .pxd file contents
stubgen-pyx . --no-pxd-to-stubs

# Skip epilog comment
stubgen-pyx . --exclude-epilog

# Include private functions in the stub
stubgen-pyx . --include-private

Python API

Basic conversion:

from stubgen_pyx import StubgenPyx
from pathlib import Path

stubgen = StubgenPyx()

# Convert a single file
pyx_code = Path("mymodule.pyx").read_text()
pyi_stub = stubgen.convert_str(pyx_code)
print(pyi_stub)

Batch processing with results:

from stubgen_pyx import StubgenPyx

stubgen = StubgenPyx()
results = stubgen.convert_glob("src/**/*.pyx")

successful = sum(1 for r in results if r.success)
failed = sum(1 for r in results if not r.success)

print(f"Converted: {successful}/{len(results)} files")
if failed > 0:
    for result in results:
        if not result.success:
            print(f"  - {result.pyx_file}: {result.error}")

Custom configuration:

from stubgen_pyx import StubgenPyx
from stubgen_pyx.config import StubgenPyxConfig

config = StubgenPyxConfig(
    no_trim_imports=False,      # Trim unused imports
    no_normalize_names=False,   # Normalize Cython types
    no_sort_imports=False,      # Sort imports
    continue_on_error=True,     # Don't stop on first error
    include_private=False,      # Exclude private functions
    verbose=True,               # Detailed output
)

stubgen = StubgenPyx(config=config)
results = stubgen.convert_glob("**/*.pyx")

How It Works

stubgen-pyx works in several stages:

1. Parsing: Cython source code is parsed using the Cython compiler's AST
2. Analysis: The AST is visited to extract type information, signatures, and docstrings
3. Conversion: Cython-specific constructs are converted to intermediate PyiElements
4. Building: PyiElements are transformed into Python stub code
5. Postprocessing: Generated code is optimized (imports trimmed, types normalized, etc.)

Why stubgen-pyx vs mypy's stubgen?

While mypy's stubgen can generate stubs for compiled extension modules through runtime introspection, it cannot access Cython-specific metadata embedded in the source code. This results in:

• Missing type annotations
• Incomplete function signatures
• No support for Cython-specific constructs (cdef classes, memory views)

stubgen-pyx directly analyzes the Cython source, providing:

• Complete type information
• Accurate function signatures with annotations
• Preserved docstrings and decorators

Supported Cython Features

Supported

• Python functions (def)
• C functions (cdef)
• C/Python functions (cpdef)
• Classes (both Python class and Cython cdef class)
• Class inheritance and metaclasses
• Type annotations on arguments and return values
• Docstrings
• Decorators
• Default arguments
• *args and **kwargs
• Keyword-only arguments
• Positional-only arguments
• Cython enums (cdef enum)
• Import statements (including cimport)
• Public attributes and properties

Limitations

• Memory views require manual type hints in some cases
• Fused types (generics) have basic support

Configuration Options

All configuration is handled through the StubgenPyxConfig dataclass:

Option	Type	Default	Description
no_sort_imports	bool	False	Skip sorting imports
no_trim_imports	bool	False	Skip trimming unused imports
no_pxd_to_stubs	bool	False	Skip including .pxd file contents
no_normalize_names	bool	False	Skip normalizing Cython types to Python equivalents
no_deduplicate_imports	bool	False	Skip deduplicating imports
exclude_epilog	bool	False	Skip adding generation epilog comment
continue_on_error	bool	False	Continue processing even if a file fails
include_private	bool	False	Include private functions in the generated stub
verbose	bool	False	Enable verbose logging output

Example

Input: Cython module

# math_utils.pyx
"""Mathematical utilities for scientific computing."""

cdef class Matrix:
    """A simple matrix class."""

    cdef int rows
    cdef int cols

    def __init__(self, int rows, int cols):
        """Initialize a matrix."""
        self.rows = rows
        self.cols = cols

    def shape(self) -> tuple[int, int]:
        """Get matrix dimensions."""
        return (self.rows, self.cols)

    cpdef scale(self, double factor):
        """Scale all elements."""
        pass

    cdef int _validate(self):
        """Internal validation (not exposed)."""
        return 0

def matrix_product(Matrix a, Matrix b) -> Matrix:
    """Compute matrix product."""
    return Matrix(a.rows, b.cols)

Output: Generated stub

# math_utils.pyi
"""Mathematical utilities for scientific computing."""

from __future__ import annotations

class Matrix:
    """A simple matrix class."""

    def __init__(self, rows: int, cols: int):
        """Initialize a matrix."""

    def shape(self) -> tuple[int, int]:
        """Get matrix dimensions."""

    def scale(self, factor: float):
        """Scale all elements."""

def matrix_product(a: Matrix, b: Matrix) -> Matrix:
    """Compute matrix product."""

# This file was generated by stubgen-pyx v0.x.x from math_utils.pyx

Note:

• Public methods are included
• Type annotations are preserved
• Docstrings are preserved
• Private cdef method _validate is excluded
• Private cdef attributes are excluded

Development

Setup

# Clone the repository
git clone https://github.com/jon-edward/stubgen-pyx.git
cd stubgen-pyx

# Create virtual environment
python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

# Install in development mode with test dependencies
pip install -e ".[test]"

Running Tests

# Run all tests
pytest

# Run specific test file
pytest tests/test_config.py

Project Structure

stubgen-pyx/
├── stubgen_pyx/              # Main package
│   ├── analysis/             # AST analysis (visitors)
│   ├── builders/             # Code generation
│   ├── conversion/           # AST conversion
│   ├── models/               # Data models (PyiElements)
│   ├── parsing/              # Cython parser
│   ├── postprocessing/       # Output optimization
│   ├── cli.py                # Command-line interface
│   ├── config.py             # Configuration
│   └── stubgen.py            # Main entry point
├── tests/                    # Test suite
├── README.md                 # This file
└── pyproject.toml            # Project metadata

Contributing

Contributions are welcome! Please:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Write tests for new functionality
4. Ensure all tests pass (pytest)
5. Commit your changes (git commit -m 'Add amazing feature')
6. Push to your fork (git push origin feature/amazing-feature)
7. Open a Pull Request

License

See LICENSE file for details.

Acknowledgments

• Built on top of the Cython compiler infrastructure
• Inspired by mypy's stubgen