v23: React + TypeScript SPA migration

Complete frontend rewrite from vanilla HTML/CSS/JS to React 19 + TypeScript + Tailwind CSS v4.

Frontend (frontend/commander-ai-lab-ui/):
- Vite + React 19 + TypeScript + Tailwind CSS v4 + React Router
- 7 pages: BatchSim, Collection, Decks, AutoGen, Simulator, Coach, Training
- Reusable components: Spinner, StatusBadge, CardImage, ManaSymbols, EmptyState
- Full typed API client layer (8 modules matching all backend endpoints)
- Recharts for mana curves, win rate charts, progress bars
- Lucide icons throughout
- Custom dark theme with MTG mana color tokens
- Code splitting (recharts + react in separate chunks)

Backend (lab_api.py):
- SPA-aware static file serving with catch-all for client-side routing
- Fallback to legacy ui/ folder if React dist not built
- Updated startup log with SPA route list

Build system:
- .gitignore added (was missing - removes pyc, db, node_modules, etc.)
- build-full-installer-v2.py: v23 with Node.js check + React build step
- Vite build config with manual chunks for optimal loading

Also includes: V3 deck generator fixes, coach improvements, DeepSeek sim modules

overnight-run.bat

@@ -0,0 +1,54 @@
+@echo off
+REM ═══════════════════════════════════════════════════════════
+REM  Commander AI Lab — Overnight AFK Runner
+REM ═══════════════════════════════════════════════════════════
+REM
+REM  Runs batch simulations for ~11.5 hours, then auto-trains
+REM  the ML policy network. Designed to run while you sleep.
+REM
+REM  PREREQUISITES:
+REM    1. Lab server must already be running (start-lab.bat)
+REM    2. LM Studio must be running with DeepSeek loaded
+REM    3. At least 1 deck available in the lab
+REM
+REM  USAGE:
+REM    Double-click this file, or run from command prompt:
+REM      overnight-run.bat
+REM
+REM  To customize, edit the settings below or pass arguments:
+REM      overnight-run.bat --games 50 --hours 8 --epochs 200
+REM ═══════════════════════════════════════════════════════════
+
+echo.
+echo  ╔══════════════════════════════════════════════════╗
+echo  ║   Commander AI Lab — Overnight AFK Runner        ║
+echo  ╠══════════════════════════════════════════════════╣
+echo  ║                                                  ║
+echo  ║   This will run batch simulations for ~11.5h     ║
+echo  ║   then auto-train the ML policy network.         ║
+echo  ║                                                  ║
+echo  ║   Make sure:                                     ║
+echo  ║    - Lab server is running (start-lab.bat)       ║
+echo  ║    - LM Studio has DeepSeek loaded               ║
+echo  ║    - Power settings: prevent sleep                ║
+echo  ║                                                  ║
+echo  ║   Press Ctrl+C at any time to stop early.        ║
+echo  ║                                                  ║
+echo  ╚══════════════════════════════════════════════════╝
+echo.
+
+REM ── Pause to let user read the message ─────────────────
+timeout /t 5 /nobreak >nul
+
+REM ── Run the Python overnight script ────────────────────
+python "%~dp0overnight-run.py" %*
+
+if %ERRORLEVEL% neq 0 (
+    echo.
+    echo  Overnight run ended with errors. Check the output above.
+    echo.
+)
+
+echo.
+echo  Overnight run complete. Press any key to close.
+pause >nul