olauth 0.1.0a1

The zero-config, one-liner authentication engine for Python web frameworks.

OL-Auth (v0.1.0a1)

OL-Auth is a lightweight, zero-configuration authentication engine designed to eliminate bootstrap friction in Python web applications. By initializing the library with a single line of code, it provisions a local data store, manages password encryption, and serves responsive, system-adaptive Log in and Sign up interfaces directly into your application.

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🎯 Ideal for Hackathons & Rapid Prototyping

When building prototypes or competing in hackathons, setting up authentication flows (tables, encryption, form handling, and UI styling) repeatedly eats up valuable hours. OL-Auth handles this scaffolding instantly so you can focus entirely on building your core features.

Current Status: Flask Only

⚠️ Note: OL-Auth is currently in an early Alpha development phase. It presently only supports the Flask framework and utilizes an internal, automated SQLite database.

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📦 Installation (Local Development)

Since the package is in alpha and not yet published to PyPI, install it in editable mode within your virtual environment:

pip install -e .

💻 Usage Example

from flask import Flask
import olauth

app = Flask(__name__)

# Single-line initialization: automatically builds tables and mounts routes
olauth.init(app)

@app.route("/")
def home():
    return 'Welcome! Visit <a href="/signup">/signup</a> to create an account.'

if __name__ == "__main__":
    app.run(debug=True)

Once initialized, the library automatically registers and serves the following endpoints:

• /signup — Renders the registration form and handles user creation.
• /login — Renders the authentication form and verifies credentials.

🛠️ Upcoming Roadmap

We are actively developing the core foundation to bring this library to a stable Beta release. The immediate roadmap focuses on the following four milestones:

1. Session Validation & State Handling: Integrating secure token generation and browser cookie management to keep users authenticated across page requests.
2. FastAPI Engine Support: Replicating the routing injection logic via APIRouter to support FastAPI applications.
3. Targeted Database Connectors: Expanding the database driver layer to allow seamless scaling by supporting connection strings for:
   • PostgreSQL (Enterprise relational storage)
   • MongoDB (NoSQL document storage)
4. Performance Optimization: Tuning connection pooling and cryptographic work-factors to resolve initial execution slowness.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.