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SQLBot Web Interface - Implementation Status

✅ Completed (Phases 1-3)

Phase 1: Backend Foundation

All files created and tested:

  • ✅ sqlbot/state_manager.py - App state management (YAML-based)
  • ✅ sqlbot/preferences.py - User preferences (theme, etc.)
  • ✅ sqlbot/session_service.py - Session management with SSE broadcasting
  • ✅ sqlbot/webapp.py - Flask app with REST API and SSE endpoint
  • ✅ sqlbot/templates/index.html - HTML template

Features:

  • ✅ Session CRUD operations (create, read, update, delete)
  • ✅ Server-Sent Events (SSE) for real-time updates
  • ✅ Auto-save sessions after each query
  • ✅ Integration with existing REPL logic (no reimplementation)
  • ✅ Query execution in background threads
  • ✅ Event broadcasting to multiple SSE clients

Phase 2: API Testing

All endpoints tested and working:

  • ✅ GET / - Main page
  • ✅ GET /api/sessions - List sessions
  • ✅ POST /api/sessions - Create session
  • ✅ POST /api/sessions/<id>/load - Load session
  • ✅ DELETE /api/sessions/<id> - Delete session
  • ✅ POST /api/query - Execute query
  • ✅ GET /events - SSE stream
  • ✅ GET /api/preferences - Get preferences
  • ✅ POST /api/preferences/theme - Set theme

Phase 3: React Frontend Setup

Project structure created:

  • ✅ React + TypeScript + Vite project initialized
  • ✅ Tailwind CSS configured with dark mode
  • ✅ Zustand state management installed
  • ✅ Vite configured to:
    • Build to sqlbot/static/
    • Proxy /api and /events to Flask backend (port 5000)
    • Dev server on port 3000

🔄 In Progress

Phase 4: React Components

Next steps:

  1. Create App shell with split-panel layout
  2. Build SSE hooks (useSSE.ts)
  3. Create Zustand store (sessionStore.ts)
  4. Build chat interface components (left panel)
  5. Build query panel with tabs (right panel)

Phase 5: Polish & Integration

Remaining work:

  1. Theme toggle and menu bar
  2. CLI integration (sqlbot --web)
  3. Test SSH port forwarding
  4. Build production assets

🚀 How to Use

Backend Only (Current State)

# Start Flask server
cd /home/ryan/projects/SQLBot
python -m sqlbot.webapp

# Or
python -c 'from sqlbot.webapp import run_webapp; run_webapp()'

# Server will start on http://localhost:5000

Testing

# Run backend tests
python test_webapp.py

# All tests should pass ✓

Session Storage

  • Sessions saved to: ~/.sqlbot_sessions/*.json
  • State file: ~/.sqlbot_state.yaml
  • Preferences: ~/.sqlbot_preferences.yaml

📊 Test Results

✓ All modules imported successfully
✓ StateManager works
✓ PreferencesManager works
✓ SessionService initialized and saved
✓ Flask app created with all routes
✓ All API endpoints returning correct status codes
✓ Session file format correct

🔧 Architecture

Backend Flow

User Query → Flask API (/api/query)
    ↓
SessionService.execute_query() [background thread]
    ↓
Determines type: SQL / Natural Language / Slash Command
    ↓
Calls existing repl.py functions:
    - is_sql_query()
    - execute_safe_sql()
    - handle_llm_query()
    - handle_slash_command()
    ↓
Emits SSE events:
    - query_started
    - thinking_start/end
    - tool_start/end
    - message (user/assistant/system)
    - query_complete
    ↓
Auto-saves session to ~/.sqlbot_sessions/
    ↓
Results delivered via SSE to all connected clients

Session Data Format

{
  "session_id": "uuid",
  "name": "Session 2025-12-03 HH:MM",
  "created": "ISO timestamp",
  "modified": "ISO timestamp",
  "queries": [
    {
      "id": "query_uuid",
      "timestamp": "ISO timestamp",
      "user_input": "user query",
      "query_type": "sql|natural_language|slash",
      "generated_sql": "SQL if applicable",
      "results": {...},
      "execution_time": 0.123,
      "error": null
    }
  ],
  "conversation_history": {
    "messages": [...],
    "total_messages": N
  },
  "config": {
    "safeguard_mode": true,
    "preview_mode": false,
    "profile": "Sakila"
  }
}

🎯 Next Steps

  1. Build React UI components - Create the split-panel layout with chat and query panels
  2. Implement SSE integration - Connect frontend to real-time backend events
  3. Add theme system - Light/dark mode toggle
  4. CLI integration - Add --web flag to main REPL
  5. Test end-to-end - Full workflow from query to results display

✅ Success Criteria Met So Far

  • Backend imports without errors
  • Flask app starts successfully
  • All API endpoints functional
  • Session persistence working
  • SSE endpoint ready for streaming
  • Integration with existing REPL logic
  • Auto-save after queries
  • React project scaffolded
  • Frontend UI components (Phase 4)
  • SSE client hooks (Phase 4)
  • Full query execution flow (Phase 4)
  • Theme toggle (Phase 5)
  • CLI integration (Phase 5)