langex 0.1.5

Extended Language Support for Python

LangEx

Extended Language Support for Python

Installation

pip install langex

About

LangEx is an experimental Python library that introduces additional language-level constructs using decorators, metadata inspection, and runtime validation.

It focuses on enabling capabilities that Python does not strictly enforce by default, such as interface-like structures, structured metadata, and runtime type validation.

The project builds small language utilities that operate on Python objects (functions, classes, and other callables) to inspect, validate, and extend their behavior while remaining fully compatible with standard Python.

Features

• Interface-like constructs for Python classes
• Metadata extraction for Python objects and callables
• Runtime validation utilities
• Decorator-based language extensions
• Runtime argument and return type checking
• Lightweight core inspection tools

Example

Defining an Interface

from langex.meta.interface import interface

@interface
class Repository:
  def save(self, data): ...
  def get(self, id): ...

Implementing the Interface

from langex.meta.interface import implements

@implements(Repository)
class UserRepository:
  def save(self, data):
    ...

  def get(self, id):
    ...

If required methods are missing, validation will raise an error.

Runtime Type Enforcement

from langex.typecheck.hints import pos_args, return_type
from langex.typecheck.enforce import enforce

@pos_args(int, int)
@return_type(int)
@enforce
def add(a, b):
  return a + b

LangEx records type metadata and enforces it when the function is executed.

Project Structure

langex
├── __init__.py
├── __main__.py
├── core
│   ├── __init__.py
│   ├── callable_meta.py
│   ├── class_meta.py
│   ├── meta.py
│   ├── object_meta.py
│   └── use.py
├── meta
│   ├── __init__.py
│   ├── immediate.py
│   └── interface.py
└── typecheck
    ├── __init__.py
    ├── enforce.py
    └── hints.py

The core module provides internal abstractions for inspecting Python objects and extracting structured metadata used by higher-level utilities.

The meta module provides language-style constructs such as interfaces and structural validation helpers.

The typecheck module provides decorators and runtime enforcement tools for validating function arguments and return values based on declared metadata.

Design Philosophy

LangEx is designed around a few principles:

• Pure Python implementation
• Minimal runtime overhead
• Explicit developer intent
• Small composable language utilities

Rather than acting as a framework, LangEx provides foundational language tools that can be used to build higher-level abstractions.

Status

Experimental and under active development.
APIs and structure may evolve as the project grows.

Links

• PyPI
• GitHub
• License

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