feat: Content Engine v2.0 - FastAPI Backend, Distributed n8n Queue Mode, and CI/CD

[google-labs-jules]

This pull request introduces the foundation for the "Automated Social Media Content Engine v2.0", setting up a dedicated /content-engine environment isolated from the main MoMoA codebase.

Key Additions:

• FastAPI Backend (api/main.py): Established endpoints for NotebookLM data ingestion, RAG queries, and programmatic video generation (Remotion/Editly/Google Vids placeholders).
• Dockerfile: Built a Python 3.14-slim container that installs necessary system dependencies like ffmpeg and playwright (with Chromium) to ensure a robust environment for Google Vids automation.
• n8n Distributed Architecture (docker-compose.yml): Configured a production-ready, distributed "Queue Mode" setup featuring:
  • PostgreSQL 13+ and Redis for robust data persistence and job brokering.
  • MinIO providing S3-compatible local binary storage (adhering to n8n's Queue mode constraints).
  • A separated execution plane with n8n_main, n8n_worker_1, and n8n_webhook_processor.
• Rules Enforcement (.rules): Added a .rules file enforcing strict floating-point accuracy (decimal, math.isclose, math.fsum) and dictating the use of the brax physics engine for advanced kinematics.
• CI/CD Pipeline (.github/workflows/content-engine.yml): Set up a GitHub Actions workflow to build and push the FastAPI Docker image to GitHub Container Registry (ghcr.io) upon changes to the content-engine directory.

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PR created automatically by Jules for task 5506944266795698286 started by @jangus3636-crypto

[google-labs-jules]

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