# MLazy Engine — AI Video Creation & Publishing Studio

**MLazy Engine** is an automated AI video creation, editing, style cloning, and publishing backend platform.

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## 🚀 How to Run the Server & Tests

### 1. How to Start the MLazy Backend Server
Open your terminal and run:

```bash
PYTHONPATH=. uvicorn mlazy_engine.api:app --reload --port 8000

• Server starts at http://localhost:8000
• Open http://localhost:8000/docs in your browser for the Interactive Swagger API Documentation!

2. How to Run the Full Unit Test Suite (15 Tests)

In your terminal, run:

PYTHONPATH=. pytest mlazy_engine/tests/ -v

3. How to Run the Live REST API Integration Demo

While your server is running on port 8000, open a second terminal tab and run:

PYTHONPATH=. python3 mlazy_engine/tests/test_live_demo.py

This tests all 5 REST API endpoints live against the running server!

🛠️ Engine Architecture & Modules

• mlazy_engine/config.py: Environment & database configuration.
• mlazy_engine/db.py: Async SQLAlchemy connection pool for Supabase PostgreSQL & SQLite fallback.
• mlazy_engine/models.py: SQLAlchemy 2.0 ORM schemas (Users, Stories, VideoJobs, YouTubeUploads, StyleProfiles).
• mlazy_engine/script_engine.py: LLM YouTube script & Google Veo scene prompt generator.
• mlazy_engine/merger.py: Zero-loss FFmpeg video clip merger.
• mlazy_engine/youtube_publisher.py: YouTube Data API v3 video publisher.
• mlazy_engine/style_clone.py: Channel visual style profiler engine.
• mlazy_engine/auth.py: Google OAuth & JWT token security.
• mlazy_engine/api.py: FastAPI REST API endpoints.
• mlazy_engine/payments.py: Stripe entitlement webhook processor.