Modern Python 3.11+ Framework: Flask/FastAPI orchestration, and strict runtime enforcement.
Project description
py_aide
Modern Python 3.11+ Framework: Flask/FastAPI Orchestration & Strict Runtime Enforcement
py_aide is a robust, developer-centric framework designed to bring safety, structure, and consistency to Python web applications. It provides a unique "Strict Runtime Enforcement" layer that ensures your code remains clean, documented, and type-safe at execution time.
🚀 Key Features
- Strict Runtime Enforcement: A powerful decorator that enforces type hints, docstrings, and calling conventions (positional-only/keyword-only) at runtime.
- Unified Server Portal: Seamlessly orchestrate Flask and FastAPI applications with shared security gates and auto-discovery of routes.
- WebSocket Excellence: Built-in support for WebSockets (powered by Eventlet and Flask-SocketIO) with integrated security and metrics.
- Thread-Safe SQL: A thread-level multiton SQLite manager with automatic JSON serialization, transaction tracking, and schema management.
- Modern Security: First-class support for Bearer tokens, API keys, and Fernet-based encryption.
- Rich Utilities: Built-in handlers for images (base64/files), dates (aware/naive conversions), and custom data structures.
📦 Installation
pip install py_aide
Note:
py_aiderequires Python 3.11+ and is currently optimized for Linux environments.
⚙️ Core Philosophy: Strict Enforcement
At the heart of py_aide is the @enforce_requirements decorator. It's designed to prevent "sloppy" code by failing early if:
- A function is missing a docstring.
- A parameter or return value is missing a type hint.
- A function uses more than 8 arguments (promoting better decomposition).
- Calling conventions (
/or*) are not explicitly defined.
from py_aide.enforcer import enforce_requirements
@enforce_requirements
def create_user(name: str, age: int, /) -> dict:
"""Creates a new user dict."""
return {"name": name, "age": age}
🌐 Unified Server Example (Flask)
from py_aide.servers.flask import ServicePortal, GateConfig
portal = ServicePortal()
@portal.endpoint("/api/greet", gate=GateConfig(auth_required=False))
def greet(name: str, /) -> dict:
"""Returns a greeting message."""
return {"message": f"Hello, {name}!"}
if __name__ == "__main__":
portal.run(port=5000)
🗄️ Database Management
py_aide provides a thread-local multiton pattern for SQLite, ensuring each thread has its own connection while sharing the same configuration.
from py_aide.database import Api
db_config = {
'users': 'id INTEGER PRIMARY KEY, name TEXT, meta JSON'
}
with Api(db_path="data.db", tables=db_config) as db:
db.insert(table="users", data=[(1, "Alice", {"role": "admin"})])
result = db.fetch(table="users", columns=["name", "meta::role as role"])
print(result.data) # [{'name': 'Alice', 'role': 'admin'}]
⚠️ Important Note: Eventlet Monkey Patching
By default, importing src.py_aide (or the top-level package) immediately performs eventlet.monkey_patch(). This is required for reliable WebSocket support and some threading features. If you need to avoid this side-effect, ensure you understand the dependencies of your modules.
📄 License
This project is licensed under the MIT License. See the LICENSE file for more details.
👥 Authors
- Kakuru Douglas - vicaniddouglas@gmail.com
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