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Multi-User Architecture & Settings Implementation

Adding multi-user support with customizable AI voices, personas, and Google OAuth integration is a significant architectural upgrade. This transforms SIFRA from a single-user local assistant into a scalable, production-ready SaaS-like platform.

Proposed Changes

Admin Identification & Legacy Migration

To answer your question: How do we know who is the admin? The industry-standard way is to specify an ADMIN_EMAIL in the .env file. When you sign up (either via Gmail or traditional signup) using that specific email address, the system will automatically flag your account as is_admin = True. Once the admin account is created, all legacy "COCO" conversation data will be seamlessly mapped to your account during the database migration.

1. Database Restructuring (database.py)

We will create a strict multi-tenant architecture.

  • users Table: Create a new table to store id, email, password_hash, name, google_id, is_admin, ai_voice (default: 'Aoede'), and ai_persona.
  • Data Isolation: Modify the conversations table to include a user_id foreign key. All queries will be strictly scoped.

2. Authentication (auth.py & server.py)

  • Google OAuth: Add /auth/google/login and /auth/google/callback endpoints.
  • Traditional Auth: Add /signup and /login endpoints using secure password hashing (bcrypt).
  • Security: Implement secure HTTP-only cookies with JWT (JSON Web Tokens) to manage sessions.

3. Frontend UI (static/login.html & static/index.html)

  • [NEW] login.html & signup.html: Create a stunning, industry-grade login/signup flow with glassmorphism, dynamic background particles, and a prominent "Sign in with Google" button.
  • Auth Guarding: Modify app.js to automatically redirect unauthenticated users to the login page.
  • Settings Panel: Expand the settings drawer in index.html to include:
    • Voice Selector: Dropdown to choose between Gemini's voices.
    • Persona Editor: A text area where users can define how SIFRA should act toward them.

4. SIFRA Core (sifra_session.py)

  • When a WebSocket connects, authenticate the session using the user's cookie.
  • Fetch the user's saved ai_voice and ai_persona from the database and dynamically inject them into Gemini.