langex 0.4.1

Runtime language extensions and validation tools for Python

LangEx

Extended Language Support for Python

Installation

pip install langex

About

LangEx is an evolving 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
• Utility classes like Singleton
• Runtime validation utilities
• Decorator-based language extensions
• Runtime argument and return type checking
• Lightweight core inspection tools
• An abstracted testing toolkit
• Simple pipeline construction utilities

Example

Defining and using an Interface

from langex.core.classes import implements, interface
from langex.core.functions import args_required, returns

@interface
class InterfaceClass:
  @args_required(int)
  @returns(int)
  def method1(self, a: int) -> int:
    ...

  @args_required(str)
  @returns(str)
  def method2(self, b: str) -> str:
    ...

@implements(InterfaceClass)
class ImplementationClass:
  def __init__(self, factor):
    self.factor = factor

  def method1(self, a: int) -> int:
    return a * self.factor

  def method2(self, b: str) -> str:
    return b.upper() * self.factor

instance = ImplementationClass(3)
print(instance.method1(5)) # prints 15 in console
print(instance.method2("hi")) # prints "HIHIHI" in console
print(instance.method1("5")) # raises Langex Validation Error
print(instance.method2(5)) # raises Langex Validation Error

Runtime Type Enforcement

from langex.core.functions import args_required, returns

@args_required(int, int)
@returns(int)
def add(a, b):
  return a + b

print(add(1, 2)) # prints the integer 3 in console
print(add("1", "2")) # raises Langex Validation Error

Singleton Class Example

from langex.core.classes import singleton

@singleton
class IdGenerator:
  def __init__(self, initial = 0):
    self.value = initial

  def next_id(self):
    self.value += 1
    return self.value

id_gen1 = IdGenerator()
id_gen2 = IdGenerator()

print(id_gen1.next_id()) # prints 1 in console
print(id_gen1.next_id()) # prints 2 in console
print(id_gen2.next_id()) # prints 3 in console

print(id_gen1 is id_gen2) # prints True in console

Pipelines

from langex.core.pipeline import Pipeline

process1 = lambda incoming: 1 if incoming is None else incoming
process2 = lambda incoming: incoming * 2
process3 = lambda incoming: incoming + 2

pipeline = (
  Pipeline
  | process1
  | process2
  | process3
)

print(pipeline.run()) # prints 4 in console
print(pipeline.run(10)) # prints 22 in console

Project Structure

langex
├── __init__.py
├── __main__.py
├── classes
│   ├── __init__.py
│   ├── class_meta.py
│   ├── methods_meta.py
│   └── singleton.py
├── constants
│   ├── __init__.py
│   ├── contents.py
│   ├── keys.py
│   └── labels.py
├── core
│   ├── __init__.py
│   ├── classes.py
│   ├── errors.py
│   ├── functions.py
│   ├── pipeline.py
│   └── testing.py
├── errors
│   ├── __init__.py
│   ├── instantiation.py
│   ├── langex.py
│   ├── misapplication.py
│   ├── unimplemented.py
│   └── validation.py
├── functions
│   ├── __init__.py
│   ├── args_meta.py
│   ├── function_meta.py
│   ├── returns_meta.py
│   ├── signature_parser.py
│   └── signature.py
├── pipelines
│   ├── __init__.py
│   └── handler.py
├── testing
│   ├── __init__.py
│   ├── data.py
│   └── helpers.py
├── utils
│   ├── __init__.py
│   ├── extracter.py
│   └── matcher.py
└── validation
    ├── __init__.py
    ├── kw_args_validator.py
    ├── pos_args_validator.py
    ├── returns_validator.py
    └── validator.py

Module Overview

• The core module contains the core decorators and utilities for language extensions.
• The constants module contains constant strings and keys used across the project for metadata, attributes and validation.
• The classes module contains tools for class inspection and interface-like constructs.
• The functions module contains tools for function metadata and signature inspection.
• The validation modules contain logic for validating function arguments and return values at runtime.
• The utils module contains helper functions for type matching and other utilities.
• The errors module defines custom exceptions for validation and other errors.

Design Philosophy

LangEx is designed around a few principles:

• Pure Python implementation
• 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

LangEx is currently in the evolution stage, with a growing set of language utilities and features. The project is actively maintained and open to contributions.

It is no longer in experimental alpha phase, but is still considered to be unstable for some use cases. It is recommended to use it in non-critical projects or for experimentation until it reaches a more stable release.

Once applications and projects using LangEx start performing reliably in production environments, the project will be considered mature and stable enough for wider adoption, with a 1.0.0 release.

Links

• PyPI
• GitHub
• License

Contributors

Support

If you find this project useful, please consider supporting it by starring the GitHub repository or sharing it with others who might benefit from it.

Your support helps in the continued development and improvement of the project.

You can also contribute to the project by submitting issues, suggesting features, or even contributing code through pull requests.

You can also sponsor the project on GitHub Sponsors: GitHub Sponsors - AttAditya

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