Introducing Get-Class-Material: Boost Python Class Introspection on PyPI

Get-Class-Material: A Fresh Addition to PyPI

When you’re building data‑driven applications in Python, accessing metadata and relationships inside classes is often a tedious task. The newly published get-class-material package tackles this pain point by providing a concise API to pull attribute values, method signatures, and documentation strings—all in one go.

Why It Matters

• Speed up onboarding: New developers can instantly inspect a class without diving into source files.
• Improve documentation quality: Auto‑gathering docstrings keeps your docs consistent.
• Feed static analysis: Combine with tools like mypy or pydantic for richer type hints.

Quick Start Guide

1. Install via pip:

   pip install get-class-material 

2. Import and use the main helper:

   from get_class_material import extract class Sample:     """Example class."""     def method(self, param: int) -> str:         """Returns a string."""         return str(param)  info = extract(Sample) print(info) 

3. The output is a structured dictionary containing:
   • Class name
   • Module path
   • Attributes and their types
   • Methods with signatures and docstrings

Best Practices

• Use type hints: The extractor leverages annotations to provide accurate types.
• Combine with Sphinx: Feed the extracted data into autodoc for dynamic docs.
• Avoid circular imports: Import classes only when necessary to prevent import cycles.

Real‑World Use Cases

• API frameworks: Automatically generate endpoint schemas.
• Plugin systems: Discover available hooks and components.
• Education tools: Build interactive tutorials that display class structures.

Future Roadmap

The maintainers plan to add support for:

• Asynchronous methods.
• Custom decorators that mark public API surfaces.
• Integration with pydantic models for validation.

Conclusion

With its lightweight API and comprehensive extraction capabilities, get-class-material is a valuable addition to any Python developer’s toolkit. Whether you’re building internal utilities or open-source libraries, this package saves time and promotes cleaner, more maintainable code.