@mytec: iter3.5.1 ready for testing

.claude/settings.local.json

@@ -43,7 +43,8 @@
       "Bash(kill:*)",
       "Bash(sort:*)",
       "Bash(journalctl:*)",
-      "Bash(pkill:*)"
+      "Bash(pkill:*)",
+      "Bash(pip3 list:*)"
     ]
   }
 }

RFCP-Dependencies-Installer.md

@@ -0,0 +1,656 @@
+# RFCP Dependencies & Installer Specification
+
+## Overview
+
+All dependencies needed for RFCP to work out of the box, including GPU acceleration.
+The installer must handle everything — user should NOT need to run pip manually.
+
+---
+
+## Python Dependencies
+
+### Core (MUST have)
+
+```txt
+# requirements.txt
+
+# Web framework
+fastapi>=0.104.0
+uvicorn[standard]>=0.24.0
+websockets>=12.0
+
+# Scientific computing
+numpy>=1.24.0
+scipy>=1.11.0
+
+# Geospatial
+pyproj>=3.6.0           # coordinate transformations
+shapely>=2.0.0          # geometry operations (boundary contours)
+
+# Terrain data
+rasterio>=1.3.0         # GeoTIFF reading (optional, for custom terrain)
+# Note: SRTM .hgt files read with numpy directly
+
+# OSM data
+requests>=2.31.0        # HTTP client for OSM Overpass API
+geopy>=2.4.0            # distance calculations
+
+# Database
+# sqlite3 is built-in Python — no install needed
+
+# Utilities
+orjson>=3.9.0           # fast JSON (optional, faster API responses)
+pydantic>=2.0.0         # data validation (FastAPI dependency)
+```
+
+### GPU Acceleration (OPTIONAL — auto-detected)
+
+```txt
+# requirements-gpu-nvidia.txt
+cupy-cuda12x>=12.0.0    # For CUDA 12.x (RTX 30xx, 40xx)
+# OR
+cupy-cuda11x>=11.0.0    # For CUDA 11.x (older cards)
+
+# requirements-gpu-opencl.txt  
+pyopencl>=2023.1        # For ANY GPU (Intel, AMD, NVIDIA)
+```
+
+### Development / Testing
+
+```txt
+# requirements-dev.txt
+pytest>=7.0.0
+pytest-asyncio>=0.21.0
+httpx>=0.25.0           # async test client
+```
+
+---
+
+## System Dependencies
+
+### NVIDIA GPU Support
+
+```
+REQUIRED: NVIDIA Driver (comes with GPU)
+REQUIRED: CUDA Toolkit 12.x (for CuPy)
+
+Check if installed:
+  nvidia-smi              → shows driver version
+  nvcc --version          → shows CUDA toolkit version
+
+If missing CUDA toolkit:
+  Download from: https://developer.nvidia.com/cuda-downloads
+  Select: Windows > x86_64 > 11/10 > exe (local)
+  Size: ~3 GB
+  
+Alternative: cupy auto-installs CUDA runtime!
+  pip install cupy-cuda12x 
+  This bundles CUDA runtime (~700 MB) — no separate install needed
+```
+
+### Intel GPU Support (OpenCL)
+
+```
+REQUIRED: Intel GPU Driver (usually pre-installed)
+REQUIRED: Intel OpenCL Runtime
+
+Check if installed:
+  Open Device Manager → Display Adapters → Intel UHD/Iris
+
+For OpenCL:
+  Download Intel GPU Computing Runtime:
+  https://github.com/intel/compute-runtime/releases
+  
+  Or: Intel oneAPI Base Toolkit (includes OpenCL)
+  https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit-download.html
+```
+
+### AMD GPU Support (OpenCL)
+
+```
+REQUIRED: AMD Adrenalin Driver (includes OpenCL)
+Download from: https://www.amd.com/en/support
+```
+
+---
+
+## Node.js / Frontend Dependencies
+
+### System Requirements
+
+```
+Node.js >= 18.0.0 (LTS recommended)
+npm >= 9.0.0
+
+Check:
+  node --version
+  npm --version
+```
+
+### Frontend packages (managed by npm)
+
+```json
+// package.json — key dependencies
+{
+  "dependencies": {
+    "react": "^18.2.0",
+    "react-dom": "^18.2.0",
+    "leaflet": "^1.9.4",
+    "react-leaflet": "^4.2.0",
+    "recharts": "^2.8.0",
+    "zustand": "^4.4.0",
+    "lucide-react": "^0.294.0"
+  },
+  "devDependencies": {
+    "vite": "^5.0.0",
+    "typescript": "^5.3.0",
+    "tailwindcss": "^3.4.0",
+    "@types/leaflet": "^1.9.0"
+  }
+}
+```
+
+---
+
+## Installer Script
+
+### Windows Installer (NSIS or Electron-Builder)
+
+```python
+# install_rfcp.py — Python-based installer/setup script
+
+import subprocess
+import sys
+import platform
+import os
+import shutil
+import json
+
+def check_python():
+    """Verify Python 3.10+ is available."""
+    version = sys.version_info
+    if version.major < 3 or version.minor < 10:
+        print(f"❌ Python 3.10+ required, found {version.major}.{version.minor}")
+        return False
+    print(f"✅ Python {version.major}.{version.minor}.{version.micro}")
+    return True
+
+def check_node():
+    """Verify Node.js 18+ is available."""
+    try:
+        result = subprocess.run(["node", "--version"], capture_output=True, text=True)
+        version = result.stdout.strip().lstrip('v')
+        major = int(version.split('.')[0])
+        if major < 18:
+            print(f"❌ Node.js 18+ required, found {version}")
+            return False
+        print(f"✅ Node.js {version}")
+        return True
+    except FileNotFoundError:
+        print("❌ Node.js not found")
+        return False
+
+def detect_gpu():
+    """Detect available GPU hardware."""
+    gpus = {
+        "nvidia": False,
+        "nvidia_name": "",
+        "intel": False,
+        "intel_name": "",
+        "amd": False,
+        "amd_name": ""
+    }
+    
+    # Check NVIDIA
+    try:
+        result = subprocess.run(
+            ["nvidia-smi", "--query-gpu=name,driver_version,memory.total", 
+             "--format=csv,noheader"],
+            capture_output=True, text=True, timeout=5
+        )
+        if result.returncode == 0:
+            info = result.stdout.strip()
+            gpus["nvidia"] = True
+            gpus["nvidia_name"] = info.split(",")[0].strip()
+            print(f"✅ NVIDIA GPU: {info}")
+    except (FileNotFoundError, subprocess.TimeoutExpired):
+        print("ℹ️  No NVIDIA GPU detected")
+    
+    # Check Intel/AMD via WMI (Windows)
+    if platform.system() == "Windows":
+        try:
+            result = subprocess.run(
+                ["wmic", "path", "win32_videocontroller", "get", 
+                 "name,adapterram,driverversion", "/format:csv"],
+                capture_output=True, text=True, timeout=5
+            )
+            for line in result.stdout.strip().split('\n'):
+                if 'Intel' in line:
+                    gpus["intel"] = True
+                    gpus["intel_name"] = [x for x in line.split(',') if 'Intel' in x][0]
+                    print(f"✅ Intel GPU: {gpus['intel_name']}")
+                elif 'AMD' in line or 'Radeon' in line:
+                    gpus["amd"] = True
+                    gpus["amd_name"] = [x for x in line.split(',') if 'AMD' in x or 'Radeon' in x][0]
+                    print(f"✅ AMD GPU: {gpus['amd_name']}")
+        except Exception:
+            pass
+    
+    return gpus
+
+def install_core_dependencies():
+    """Install core Python dependencies."""
+    print("\n📦 Installing core dependencies...")
+    subprocess.run([
+        sys.executable, "-m", "pip", "install", "-r", "requirements.txt",
+        "--quiet", "--no-warn-script-location"
+    ], check=True)
+    print("✅ Core dependencies installed")
+
+def install_gpu_dependencies(gpus: dict):
+    """Install GPU-specific dependencies based on detected hardware."""
+    print("\n🎮 Setting up GPU acceleration...")
+    
+    gpu_installed = False
+    
+    # NVIDIA — install CuPy (includes CUDA runtime)
+    if gpus["nvidia"]:
+        print(f"  Installing CuPy for {gpus['nvidia_name']}...")
+        try:
+            # Try CUDA 12 first (newer cards)
+            subprocess.run([
+                sys.executable, "-m", "pip", "install", "cupy-cuda12x",
+                "--quiet", "--no-warn-script-location"
+            ], check=True, timeout=300)
+            print(f"  ✅ CuPy (CUDA 12) installed for {gpus['nvidia_name']}")
+            gpu_installed = True
+        except (subprocess.CalledProcessError, subprocess.TimeoutExpired):
+            try:
+                # Fallback to CUDA 11
+                subprocess.run([
+                    sys.executable, "-m", "pip", "install", "cupy-cuda11x",
+                    "--quiet", "--no-warn-script-location"
+                ], check=True, timeout=300)
+                print(f"  ✅ CuPy (CUDA 11) installed for {gpus['nvidia_name']}")
+                gpu_installed = True
+            except Exception as e:
+                print(f"  ⚠️  CuPy installation failed: {e}")
+                print(f"  💡 Manual install: pip install cupy-cuda12x")
+    
+    # Intel/AMD — install PyOpenCL
+    if gpus["intel"] or gpus["amd"]:
+        gpu_name = gpus["intel_name"] or gpus["amd_name"]
+        print(f"  Installing PyOpenCL for {gpu_name}...")
+        try:
+            subprocess.run([
+                sys.executable, "-m", "pip", "install", "pyopencl",
+                "--quiet", "--no-warn-script-location"
+            ], check=True, timeout=120)
+            print(f"  ✅ PyOpenCL installed for {gpu_name}")
+            gpu_installed = True
+        except Exception as e:
+            print(f"  ⚠️  PyOpenCL installation failed: {e}")
+            print(f"  💡 Manual install: pip install pyopencl")
+    
+    if not gpu_installed:
+        print("  ℹ️  No GPU acceleration available — using CPU (NumPy)")
+        print("  💡 This is fine! GPU just makes large calculations faster.")
+    
+    return gpu_installed
+
+def install_frontend():
+    """Install frontend dependencies and build."""
+    print("\n🌐 Setting up frontend...")
+    frontend_dir = os.path.join(os.path.dirname(__file__), "frontend")
+    
+    if os.path.exists(os.path.join(frontend_dir, "package.json")):
+        subprocess.run(["npm", "install"], cwd=frontend_dir, check=True)
+        subprocess.run(["npm", "run", "build"], cwd=frontend_dir, check=True)
+        print("✅ Frontend built")
+    else:
+        print("⚠️  Frontend directory not found")
+
+def download_terrain_data():
+    """Pre-download SRTM terrain tiles for Ukraine."""
+    print("\n🏔️  Checking terrain data...")
+    cache_dir = os.path.expanduser("~/.rfcp/terrain")
+    os.makedirs(cache_dir, exist_ok=True)
+    
+    # Ukraine bounding box: lat 44-53, lon 22-41
+    # SRTM tiles needed for typical use
+    required_tiles = [
+        # Lviv oblast area (common test area)
+        "N49E025", "N49E024", "N49E026",
+        "N50E025", "N50E024", "N50E026",
+        # Dnipro area
+        "N48E034", "N48E035",
+        "N49E034", "N49E035",
+    ]
+    
+    existing = [f.replace(".hgt", "") for f in os.listdir(cache_dir) if f.endswith(".hgt")]
+    missing = [t for t in required_tiles if t not in existing]
+    
+    if missing:
+        print(f"  {len(missing)} terrain tiles needed (auto-download on first use)")
+    else:
+        print(f"  ✅ {len(existing)} terrain tiles cached")
+
+def create_launcher():
+    """Create desktop shortcut / launcher script."""
+    print("\n🚀 Creating launcher...")
+    
+    if platform.system() == "Windows":
+        # Create .bat launcher
+        launcher = os.path.join(os.path.dirname(__file__), "RFCP.bat")
+        with open(launcher, 'w') as f:
+            f.write('@echo off\n')
+            f.write('title RFCP - RF Coverage Planner\n')
+            f.write('echo Starting RFCP...\n')
+            f.write(f'cd /d "{os.path.dirname(__file__)}"\n')
+            f.write(f'"{sys.executable}" -m uvicorn backend.app.main:app --host 0.0.0.0 --port 8888\n')
+        print(f"  ✅ Launcher created: {launcher}")
+    
+    return True
+
+def verify_installation():
+    """Run quick verification tests."""
+    print("\n🔍 Verifying installation...")
+    
+    checks = []
+    
+    # Check core imports
+    try:
+        import numpy as np
+        checks.append(f"✅ NumPy {np.__version__}")
+    except ImportError:
+        checks.append("❌ NumPy missing")
+    
+    try:
+        import scipy
+        checks.append(f"✅ SciPy {scipy.__version__}")
+    except ImportError:
+        checks.append("❌ SciPy missing")
+    
+    try:
+        import fastapi
+        checks.append(f"✅ FastAPI {fastapi.__version__}")
+    except ImportError:
+        checks.append("❌ FastAPI missing")
+    
+    try:
+        import shapely
+        checks.append(f"✅ Shapely {shapely.__version__}")
+    except ImportError:
+        checks.append("⚠️  Shapely missing (boundary features disabled)")
+    
+    # Check GPU
+    try:
+        import cupy as cp
+        device = cp.cuda.Device(0)
+        checks.append(f"✅ CuPy → {device.name} ({device.mem_info[1]//1024//1024} MB)")
+    except ImportError:
+        checks.append("ℹ️  CuPy not available")
+    except Exception as e:
+        checks.append(f"⚠️  CuPy error: {e}")
+    
+    try:
+        import pyopencl as cl
+        devices = []
+        for p in cl.get_platforms():
+            for d in p.get_devices():
+                devices.append(d.name)
+        checks.append(f"✅ PyOpenCL → {', '.join(devices)}")
+    except ImportError:
+        checks.append("ℹ️  PyOpenCL not available")
+    except Exception as e:
+        checks.append(f"⚠️  PyOpenCL error: {e}")
+    
+    for check in checks:
+        print(f"  {check}")
+    
+    return all("❌" not in c for c in checks)
+
+def main():
+    """Main installer entry point."""
+    print("=" * 60)
+    print("  RFCP — RF Coverage Planner — Installer")
+    print("=" * 60)
+    print()
+    
+    # Step 1: Check prerequisites
+    print("📋 Checking prerequisites...")
+    if not check_python():
+        sys.exit(1)
+    check_node()
+    
+    # Step 2: Detect GPU
+    gpus = detect_gpu()
+    
+    # Step 3: Install dependencies
+    install_core_dependencies()
+    install_gpu_dependencies(gpus)
+    
+    # Step 4: Frontend
+    install_frontend()
+    
+    # Step 5: Terrain data
+    download_terrain_data()
+    
+    # Step 6: Launcher
+    create_launcher()
+    
+    # Step 7: Verify
+    print()
+    success = verify_installation()
+    
+    # Summary
+    print()
+    print("=" * 60)
+    if success:
+        print("  ✅ RFCP installed successfully!")
+        print()
+        print("  To start RFCP:")
+        print("    python -m uvicorn backend.app.main:app --port 8888")
+        print("    Then open: http://localhost:8888")
+        print()
+        if gpus["nvidia"]:
+            print(f"  🎮 GPU: {gpus['nvidia_name']} (CUDA)")
+        elif gpus["intel"] or gpus["amd"]:
+            gpu_name = gpus["intel_name"] or gpus["amd_name"]
+            print(f"  🎮 GPU: {gpu_name} (OpenCL)")
+        else:
+            print("  💻 Mode: CPU only")
+    else:
+        print("  ⚠️  Installation completed with warnings")
+        print("  Some features may be limited")
+    print("=" * 60)
+
+if __name__ == "__main__":
+    main()
+```
+
+---
+
+## Electron-Builder / NSIS Packaging
+
+### For .exe Installer
+
+```yaml
+# electron-builder.yml
+
+appId: com.rfcp.coverage-planner
+productName: "RFCP - RF Coverage Planner"
+copyright: "RFCP 2026"
+
+directories:
+  output: dist
+  buildResources: build
+
+files:
+  - "backend/**/*"
+  - "frontend/dist/**/*"
+  - "requirements.txt"
+  - "install_rfcp.py"
+  - "!**/*.pyc"
+  - "!**/node_modules/**"
+  - "!**/venv/**"
+
+extraResources:
+  - from: "python-embedded/"
+    to: "python/"
+  - from: "terrain-data/"
+    to: "terrain/"
+
+win:
+  target:
+    - target: nsis
+      arch: [x64]
+  icon: "build/icon.ico"
+
+nsis:
+  oneClick: false
+  allowToChangeInstallationDirectory: true
+  installerIcon: "build/icon.ico"
+  license: "LICENSE.md"
+  
+  # Custom NSIS script for GPU detection
+  include: "build/gpu-detect.nsh"
+  
+  # Install steps:
+  # 1. Extract files
+  # 2. Run install_rfcp.py (detects GPU, installs deps)
+  # 3. Create Start Menu shortcuts
+  # 4. Create Desktop shortcut
+```
+
+### Portable Version (.zip)
+
+```
+RFCP-Portable/
+├── RFCP.bat                    # Main launcher
+├── install.bat                 # First-time setup
+├── backend/
+│   ├── app/
+│   │   ├── main.py
+│   │   ├── api/
+│   │   ├── services/
+│   │   └── models/
+│   └── requirements.txt
+├── frontend/
+│   └── dist/                   # Pre-built frontend
+├── python/                     # Embedded Python (optional)
+│   ├── python.exe
+│   └── Lib/
+├── terrain/                    # Pre-cached .hgt files
+│   ├── N49E025.hgt
+│   └── ...
+├── data/
+│   ├── osm_cache.db           # SQLite cache (created on first run)
+│   └── config.json            # User settings
+└── README.md
+```
+
+### install.bat (First-Time Setup)
+
+```batch
+@echo off
+title RFCP - First Time Setup
+echo ============================================
+echo   RFCP - RF Coverage Planner - Setup
+echo ============================================
+echo.
+
+REM Check if Python exists
+python --version >nul 2>&1
+if errorlevel 1 (
+    echo ERROR: Python not found!
+    echo Please install Python 3.10+ from python.org
+    pause
+    exit /b 1
+)
+
+REM Run installer
+python install_rfcp.py
+
+echo.
+echo Setup complete! Run RFCP.bat to start.
+pause
+```
+
+### RFCP.bat (Launcher)
+
+```batch
+@echo off
+title RFCP - RF Coverage Planner
+cd /d "%~dp0"
+
+REM Check if installed
+if not exist "backend\app\main.py" (
+    echo ERROR: RFCP not found. Run install.bat first.
+    pause
+    exit /b 1
+)
+
+echo Starting RFCP...
+echo Open http://localhost:8888 in your browser
+echo Press Ctrl+C to stop
+echo.
+
+python -m uvicorn backend.app.main:app --host 0.0.0.0 --port 8888
+```
+
+---
+
+## Dependency Size Estimates
+
+| Component | Size |
+|-----------|------|
+| Python (embedded) | ~30 MB |
+| Core pip packages | ~80 MB |
+| CuPy + CUDA runtime | ~700 MB |
+| PyOpenCL | ~15 MB |
+| Frontend (built) | ~5 MB |
+| SRTM terrain (Ukraine) | ~300 MB |
+| **Total (with CUDA)** | **~1.1 GB** |
+| **Total (CPU only)** | **~415 MB** |
+
+---
+
+## Runtime Requirements
+
+| Resource | Minimum | Recommended |
+|----------|---------|-------------|
+| RAM | 4 GB | 8+ GB |
+| Disk | 500 MB | 2 GB (with terrain cache) |
+| CPU | 4 cores | 8+ cores |
+| GPU | - | NVIDIA GTX 1060+ / Intel UHD 630+ |
+| OS | Windows 10 | Windows 10/11 64-bit |
+| Python | 3.10 | 3.11+ |
+| Node.js | 18 | 20 LTS |
+
+---
+
+## Auto-Update Mechanism (Future)
+
+```python
+# Check for updates on startup
+async def check_for_updates():
+    try:
+        response = await httpx.get(
+            "https://api.github.com/repos/user/rfcp/releases/latest",
+            timeout=5
+        )
+        latest = response.json()["tag_name"]
+        current = get_current_version()
+        
+        if latest != current:
+            return {
+                "update_available": True,
+                "current": current,
+                "latest": latest,
+                "download_url": response.json()["assets"][0]["browser_download_url"]
+            }
+    except:
+        pass
+    return {"update_available": False}
+```

RFCP-Iteration-3.5.1-Bugfixes-Polish.md

@@ -0,0 +1,557 @@
+# RFCP Iteration 3.5.1 — Bugfixes & Polish
+
+## Overview
+
+Focused bugfix and polish release addressing UI issues, coverage boundary accuracy, history improvements, and GPU indicator fixes discovered during 3.5.0 testing.
+
+---
+
+## 1. GPU — Detection Not Working + UI Overlap
+
+### 1A. GPU Not Detected Despite Being Available
+
+**Problem:** User has a laptop with DUAL GPUs (Intel integrated + NVIDIA discrete) but the app only shows "CPU (NumPy)". GPU acceleration is not working at all — no GPU option available in the device selector.
+
+**Root cause investigation needed:**
+1. Check if CuPy is actually installed in the Python environment
+2. Check if CUDA toolkit is accessible from the app's runtime
+3. Check if PyOpenCL is installed (fallback for Intel GPU)
+4. The backend GPU detection may be failing silently
+
+**Debug steps to add:**
+
+```python
+# backend/app/services/gpu_backend.py — improve detection with logging
+
+import logging
+logger = logging.getLogger(__name__)
+
+@classmethod
+def detect_backends(cls) -> list:
+    backends = []
+    
+    # Check NVIDIA CUDA
+    try:
+        import cupy as cp
+        count = cp.cuda.runtime.getDeviceCount()
+        logger.info(f"CUDA detected: {count} device(s)")
+        for i in range(count):
+            device = cp.cuda.Device(i)
+            backends.append({...})
+    except ImportError:
+        logger.warning("CuPy not installed — run: pip install cupy-cuda12x")
+    except Exception as e:
+        logger.warning(f"CUDA detection failed: {e}")
+    
+    # Check OpenCL (works with Intel, AMD, AND NVIDIA)
+    try:
+        import pyopencl as cl
+        platforms = cl.get_platforms()
+        logger.info(f"OpenCL detected: {len(platforms)} platform(s)")
+        for platform in platforms:
+            for device in platform.get_devices():
+                logger.info(f"  OpenCL device: {device.name}")
+                backends.append({...})
+    except ImportError:
+        logger.warning("PyOpenCL not installed — run: pip install pyopencl")
+    except Exception as e:
+        logger.warning(f"OpenCL detection failed: {e}")
+    
+    # Always log what was found
+    logger.info(f"Total compute backends: {len(backends)} "
+                f"({sum(1 for b in backends if b['type'] == 'cuda')} CUDA, "
+                f"{sum(1 for b in backends if b['type'] == 'opencl')} OpenCL)")
+    
+    # CPU always available
+    backends.append({...cpu...})
+    return backends
+```
+
+**Installation check endpoint:**
+
+```python
+# backend/app/api/routes/gpu.py — add diagnostic endpoint
+
+@router.get("/diagnostics")
+async def gpu_diagnostics():
+    """Full GPU diagnostic info for troubleshooting."""
+    diag = {
+        "python_version": sys.version,
+        "platform": platform.platform(),
+        "cuda": {},
+        "opencl": {},
+        "numpy": {}
+    }
+    
+    # Check CuPy/CUDA
+    try:
+        import cupy
+        diag["cuda"]["cupy_version"] = cupy.__version__
+        diag["cuda"]["cuda_version"] = cupy.cuda.runtime.runtimeGetVersion()
+        diag["cuda"]["device_count"] = cupy.cuda.runtime.getDeviceCount()
+        for i in range(diag["cuda"]["device_count"]):
+            d = cupy.cuda.Device(i)
+            diag["cuda"][f"device_{i}"] = {
+                "name": d.name,
+                "compute_capability": d.compute_capability,
+                "total_memory_mb": d.mem_info[1] // 1024 // 1024
+            }
+    except ImportError:
+        diag["cuda"]["error"] = "CuPy not installed"
+        diag["cuda"]["install_hint"] = "pip install cupy-cuda12x --break-system-packages"
+    except Exception as e:
+        diag["cuda"]["error"] = str(e)
+    
+    # Check PyOpenCL
+    try:
+        import pyopencl as cl
+        diag["opencl"]["pyopencl_version"] = cl.VERSION_TEXT
+        for p in cl.get_platforms():
+            platform_info = {"name": p.name, "devices": []}
+            for d in p.get_devices():
+                platform_info["devices"].append({
+                    "name": d.name,
+                    "type": cl.device_type.to_string(d.type),
+                    "memory_mb": d.global_mem_size // 1024 // 1024,
+                    "compute_units": d.max_compute_units
+                })
+            diag["opencl"][p.name] = platform_info
+    except ImportError:
+        diag["opencl"]["error"] = "PyOpenCL not installed"
+        diag["opencl"]["install_hint"] = "pip install pyopencl"
+    except Exception as e:
+        diag["opencl"]["error"] = str(e)
+    
+    # Check NumPy
+    import numpy as np
+    diag["numpy"]["version"] = np.__version__
+    
+    return diag
+```
+
+**Frontend — show diagnostic info:**
+
+```typescript
+// In GPUIndicator.tsx — when only CPU detected, show help
+
+{devices.length === 1 && devices[0].type === 'cpu' && (
+  <div className="text-xs text-yellow-400 mt-2 p-2 bg-yellow-900/20 rounded">
+    ⚠ No GPU detected. 
+    <button 
+      onClick={() => fetchDiagnostics()}
+      className="underline ml-1"
+    >
+      Run diagnostics
+    </button>
+  </div>
+)}
+```
+
+**Auto-install hint in UI:**
+```
+⚠ No GPU detected
+  
+For NVIDIA GPU: pip install cupy-cuda12x
+For Intel/AMD GPU: pip install pyopencl
+  
+[Run Diagnostics] [Install Guide]
+```
+
+**Dual GPU handling (Intel + NVIDIA laptop):**
+```python
+# When both Intel (OpenCL) and NVIDIA (CUDA) found:
+# - List both in device selector
+# - Default to NVIDIA CUDA (faster)
+# - Allow user to switch
+# - Intel iGPU via OpenCL is still ~3-5x faster than CPU
+
+# Example device list for dual GPU laptop:
+# 1. ⚡ NVIDIA GeForce RTX 4060 (CUDA) — 8 GB  [DEFAULT]
+# 2. ⚡ Intel UHD Graphics 770 (OpenCL) — shared memory
+# 3. 💻 CPU (16 cores)
+```
+
+### 1B. GPU Indicator UI — Fix Overlap with Fit Button
+
+**Problem:** GPU device dropdown overlaps with the "Fit" button in top-right corner.
+
+**Solution:**
+- Keep compact "⚡ CPU" badge in header
+- Dropdown opens to the LEFT or DOWNWARD, not overlapping map controls
+- Proper z-index and positioning
+- Shorter labels: "CPU" not "CPU (NumPy)"
+
+**Files:**
+- `frontend/src/components/ui/GPUIndicator.tsx`
+- `backend/app/services/gpu_backend.py`
+- `backend/app/api/routes/gpu.py`
+
+---
+
+## 2. Coverage Boundary — Improve Accuracy
+
+**Problem:** Current boundary shows a rough circle/ellipse shape that doesn't follow actual coverage contour.
+
+**Current behavior:** Boundary seems to be based on simple distance radius rather than actual RSRP threshold contour.
+
+**Expected behavior:** Boundary should follow the actual -100 dBm (or configured threshold) contour line — an irregular shape that follows terrain, buildings, vegetation shadows.
+
+**Solution:**
+
+```python
+# Backend approach: Generate contour from actual RSRP grid
+
+import numpy as np
+from scipy.ndimage import binary_dilation, binary_erosion
+from shapely.geometry import MultiPoint
+from shapely.ops import unary_union
+
+def calculate_coverage_boundary(points: list, threshold_dbm: float = -100) -> list:
+    """
+    Calculate coverage boundary as convex hull of points above threshold.
+    Returns list of [lat, lon] coordinates forming the boundary polygon.
+    """
+    # Filter points above threshold
+    valid_points = [(p['lat'], p['lon']) for p in points if p['rsrp'] >= threshold_dbm]
+    
+    if len(valid_points) < 3:
+        return []
+    
+    # Create concave hull (alpha shape) for realistic boundary
+    # Concave hull follows the actual shape better than convex hull
+    from shapely.geometry import MultiPoint
+    multi_point = MultiPoint(valid_points)
+    
+    # Alpha shape — adjust alpha for detail level
+    # Higher alpha = more detailed (but slower)
+    boundary = concave_hull(multi_point, ratio=0.3)
+    
+    if boundary.is_empty:
+        return []
+    
+    # Simplify to reduce points (tolerance in degrees ≈ 100m)
+    simplified = boundary.simplify(0.001)
+    
+    # Return as coordinate list
+    coords = list(simplified.exterior.coords)
+    return [[lat, lon] for lat, lon in coords]
+```
+
+```python
+# Alternative: Grid-based contour approach
+
+def calculate_boundary_from_grid(
+    grid_points: list,
+    threshold_dbm: float,
+    grid_resolution_m: float
+) -> list:
+    """
+    Create boundary by finding edge cells of coverage area.
+    More accurate than hull — follows actual coverage gaps.
+    """
+    import numpy as np
+    
+    # Build 2D RSRP grid
+    lats = sorted(set(p['lat'] for p in grid_points))
+    lons = sorted(set(p['lon'] for p in grid_points))
+    
+    grid = np.full((len(lats), len(lons)), np.nan)
+    lat_idx = {lat: i for i, lat in enumerate(lats)}
+    lon_idx = {lon: i for i, lon in enumerate(lons)}
+    
+    for p in grid_points:
+        i = lat_idx[p['lat']]
+        j = lon_idx[p['lon']]
+        grid[i, j] = p['rsrp']
+    
+    # Binary mask: above threshold
+    mask = grid >= threshold_dbm
+    
+    # Find boundary: dilate - original = edge cells
+    dilated = binary_dilation(mask)
+    boundary_mask = dilated & ~mask
+    
+    # Extract boundary coordinates
+    boundary_coords = []
+    for i in range(len(lats)):
+        for j in range(len(lons)):
+            if boundary_mask[i, j]:
+                boundary_coords.append([lats[i], lons[j]])
+    
+    # Order points for polygon (traveling salesman approximate)
+    if len(boundary_coords) > 2:
+        ordered = order_boundary_points(boundary_coords)
+        return ordered
+    
+    return boundary_coords
+```
+
+**Frontend changes:**
+- Receive boundary polygon from backend (already calculated with results)
+- Or calculate client-side from grid points
+- Render as Leaflet polygon with dashed white stroke
+- Should follow actual coverage shape, not circular approximation
+
+**Files:**
+- `backend/app/services/coverage_service.py` — add boundary calculation
+- `frontend/src/components/map/CoverageBoundary.tsx` — render real contour
+
+---
+
+## 3. Session History — Show Propagation Parameters
+
+**Problem:** History entries only show preset, points, radius, resolution. Missing propagation settings used.
+
+**Solution:** Save full propagation config snapshot with each history entry.
+
+```typescript
+// frontend/src/store/calcHistory.ts
+
+interface HistoryEntry {
+  id: string;
+  timestamp: Date;
+  computationTime: number;
+  preset: string;
+  radius: number;
+  resolution: number;
+  totalPoints: number;
+  
+  // Coverage results
+  coverage: {
+    excellent: number;  // percentage
+    good: number;
+    fair: number;
+    weak: number;
+  };
+  avgRsrp: number;
+  rangeMin: number;
+  rangeMax: number;
+  
+  // NEW: Propagation parameters snapshot
+  propagation: {
+    modelsUsed: string[];        // ["Free-Space", "terrain_los", ...]
+    modelCount: number;          // 12
+    frequency: number;           // 2100 MHz
+    txPower: number;             // 46 dBm
+    antennaGain: number;         // 15 dBi
+    antennaHeight: number;       // 10 m
+    
+    // Environment
+    season: string;              // "Winter (30%)"
+    temperature: string;         // "15°C (mild)"
+    humidity: string;            // "50% (normal)"
+    rainConditions: string;      // "Light Rain"
+    indoorCoverage: string;      // "Medium Building (brick)"
+    
+    // Margins
+    fadingMargin: number;        // 0 dB
+    
+    // Atmospheric
+    atmosphericAbsorption: boolean;
+  };
+  
+  // Site config
+  sites: number;                 // 2
+  sectors: number;               // total sectors
+}
+```
+
+**Display in History panel:**
+
+```typescript
+// Expanded history entry shows propagation details
+
+<div className="history-entry-expanded">
+  {/* Existing: time, points, coverage bars */}
+  
+  {/* NEW: Propagation summary (collapsed by default) */}
+  <details className="mt-2">
+    <summary className="text-xs text-gray-400 cursor-pointer hover:text-gray-300">
+      ▸ Propagation: {entry.propagation.modelCount} models, {entry.propagation.frequency} MHz
+    </summary>
+    <div className="mt-1 pl-3 text-xs text-gray-500 space-y-0.5">
+      <div>TX: {entry.propagation.txPower} dBm, Gain: {entry.propagation.antennaGain} dBi</div>
+      <div>Height: {entry.propagation.antennaHeight}m</div>
+      <div>Environment: {entry.propagation.season}, {entry.propagation.rainConditions}</div>
+      <div>Indoor: {entry.propagation.indoorCoverage}</div>
+      {entry.propagation.fadingMargin > 0 && (
+        <div>Fading margin: {entry.propagation.fadingMargin} dB</div>
+      )}
+      <div className="flex flex-wrap gap-1 mt-1">
+        {entry.propagation.modelsUsed.map(model => (
+          <span key={model} className="px-1 py-0.5 bg-slate-700 rounded text-[10px]">
+            {model}
+          </span>
+        ))}
+      </div>
+    </div>
+  </details>
+</div>
+```
+
+**Files:**
+- `frontend/src/store/calcHistory.ts` — extend HistoryEntry type, save propagation
+- `frontend/src/components/panels/HistoryPanel.tsx` — show expandable propagation details
+- `backend/app/api/websocket.py` — include propagation config in result message
+- `backend/app/services/coverage_service.py` — return config snapshot with results
+
+---
+
+## 4. Results Popup — Show Propagation Summary
+
+**Problem:** Calculation Complete popup shows time, points, coverage bars — but not which models were used.
+
+**Solution:** Add compact propagation info to results popup.
+
+```typescript
+// frontend/src/components/ui/ResultsPopup.tsx
+
+// Add below coverage bars:
+<div className="mt-2 text-xs text-gray-400">
+  <span>{result.modelsUsed?.length || 0} models</span>
+  <span className="mx-1">•</span>
+  <span>{result.frequency} MHz</span>
+  {result.fadingMargin > 0 && (
+    <>
+      <span className="mx-1">•</span>
+      <span>FM: {result.fadingMargin} dB</span>
+    </>
+  )}
+  {result.indoorCoverage && result.indoorCoverage !== 'none' && (
+    <>
+      <span className="mx-1">•</span>
+      <span>Indoor: {result.indoorCoverage}</span>
+    </>
+  )}
+</div>
+```
+
+**Files:**
+- `frontend/src/components/ui/ResultsPopup.tsx`
+
+---
+
+## 5. Batch Frequency Change (from 3.5.0 backlog)
+
+**Problem:** To compare coverage at different frequencies, user must edit each sector manually.
+
+**Solution:** Quick-change buttons in toolbar or Coverage Settings.
+
+```typescript
+// frontend/src/components/panels/BatchOperations.tsx (NEW)
+
+const QUICK_BANDS = [
+  { freq: 700, label: '700', band: 'B28', color: 'text-red-400' },
+  { freq: 800, label: '800', band: 'B20', color: 'text-orange-400' },
+  { freq: 900, label: '900', band: 'B8', color: 'text-yellow-400' },
+  { freq: 1800, label: '1800', band: 'B3', color: 'text-green-400' },
+  { freq: 2100, label: '2100', band: 'B1', color: 'text-blue-400' },
+  { freq: 2600, label: '2600', band: 'B7', color: 'text-purple-400' },
+  { freq: 3500, label: '3500', band: 'n78', color: 'text-pink-400' },
+];
+
+export function BatchFrequencyChange() {
+  return (
+    <div className="p-3 border-t border-slate-700">
+      <h4 className="text-xs font-semibold text-gray-400 mb-2">
+        SET ALL SECTORS
+      </h4>
+      <div className="flex flex-wrap gap-1">
+        {QUICK_BANDS.map(b => (
+          <button
+            key={b.freq}
+            onClick={() => setAllSectorsFrequency(b.freq)}
+            className="px-2 py-1 text-xs bg-slate-700 hover:bg-slate-600 rounded"
+            title={`${b.band} — ${b.freq} MHz`}
+          >
+            <span className={b.color}>{b.label}</span>
+          </button>
+        ))}
+      </div>
+    </div>
+  );
+}
+```
+
+**Location:** Below site list, above Coverage Settings.
+
+**Files:**
+- `frontend/src/components/panels/BatchOperations.tsx` (NEW)
+- `frontend/src/store/sites.ts` — add `setAllSectorsFrequency()` action
+
+---
+
+## 6. Minor UI Fixes
+
+### 6.1 Terrain Profile — Click Propagation (verify fix)
+- Verify that clicking "Terrain Profile" button no longer adds ruler point
+- If still broken: ensure e.stopPropagation() AND e.preventDefault() on button
+
+### 6.2 GPU Indicator — Shorter Label
+- Current: "CPU (NumPy)" — too long
+- Should be: "CPU" or "⚡ CPU"
+- When GPU active: "⚡ RTX 4060" (short device name)
+
+### 6.3 ~~Coordinate Display — Show Elevation~~ ✅ WORKS
+- Elevation loads on hover with delay — NOT a bug
+- Shows "Elev: 380m ASL" after holding cursor on map
+- No fix needed
+
+---
+
+## Implementation Order
+
+### Priority 1 — Quick Fixes (30 min)
+- [ ] GPU indicator positioning (no overlap with Fit)
+- [ ] GPU detection — install CuPy/PyOpenCL, diagnostics endpoint
+- [ ] Terrain Profile click fix (verify)
+
+### Priority 2 — History Enhancement (1 hour)
+- [ ] Extend HistoryEntry with propagation params
+- [ ] Save propagation snapshot on calculation complete
+- [ ] Expandable propagation details in History panel
+- [ ] Results popup — show model count + frequency
+
+### Priority 3 — Coverage Boundary (1-2 hours)
+- [ ] Implement contour-based boundary from actual RSRP grid
+- [ ] Replace circular approximation with real coverage shape
+- [ ] Test with multi-site calculations
+- [ ] Smooth boundary line (simplify polygon)
+
+### Priority 4 — Batch Frequency (30 min)
+- [ ] BatchOperations component
+- [ ] setAllSectorsFrequency store action
+- [ ] Wire into sidebar panel
+
+---
+
+## Success Criteria
+
+- [ ] GPU indicator does not overlap with any map controls
+- [ ] Coverage boundary follows actual coverage shape (not circular)
+- [ ] History entries show expandable propagation parameters
+- [ ] Results popup shows model count and frequency
+- [ ] Batch frequency change updates all sectors at once
+- [ ] Terrain Profile button click doesn't add ruler point
+- [ ] Elevation displays correctly in bottom-left
+
+---
+
+## Files Summary
+
+### New Files
+- `frontend/src/components/panels/BatchOperations.tsx`
+
+### Modified Files
+- `frontend/src/components/ui/GPUIndicator.tsx` — fix position/overlap
+- `frontend/src/components/map/CoverageBoundary.tsx` — real contour
+- `frontend/src/components/ui/ResultsPopup.tsx` — propagation info
+- `frontend/src/store/calcHistory.ts` — extended HistoryEntry
+- `frontend/src/components/panels/HistoryPanel.tsx` — expandable details
+- `frontend/src/store/sites.ts` — batch frequency action
+- `backend/app/services/coverage_service.py` — boundary calculation, config snapshot
+- `backend/app/api/websocket.py` — include config in results
+
+---
+
+*"Polish makes the difference between a tool and a product"* ✨

backend/app/api/routes/gpu.py

@@ -33,3 +33,9 @@ async def gpu_set_device(request: SetDeviceRequest):
         return {"status": "ok", **result}
     except ValueError as e:
         raise HTTPException(status_code=400, detail=str(e))
+
+
+@router.get("/diagnostics")
+async def gpu_diagnostics():
+    """Full GPU diagnostic info for troubleshooting detection issues."""
+    return gpu_manager.get_diagnostics()

backend/app/services/gpu_backend.py

@@ -167,6 +167,66 @@ class GPUManager:
             for d in self._devices
         ]
 
+    def get_diagnostics(self) -> dict:
+        """Full diagnostic info for troubleshooting GPU detection."""
+        import sys
+        import platform
+
+        diag = {
+            "python_version": sys.version,
+            "platform": platform.platform(),
+            "numpy": {"version": np.__version__},
+            "cuda": {},
+            "opencl": {},
+            "detected_devices": len(self._devices),
+            "active_backend": self._active_backend.value,
+        }
+
+        # Check CuPy/CUDA
+        try:
+            import cupy as cp
+            diag["cuda"]["cupy_version"] = cp.__version__
+            diag["cuda"]["cuda_runtime_version"] = cp.cuda.runtime.runtimeGetVersion()
+            diag["cuda"]["device_count"] = cp.cuda.runtime.getDeviceCount()
+            for i in range(diag["cuda"]["device_count"]):
+                props = cp.cuda.runtime.getDeviceProperties(i)
+                name = props["name"]
+                if isinstance(name, bytes):
+                    name = name.decode()
+                diag["cuda"][f"device_{i}"] = {
+                    "name": str(name),
+                    "memory_mb": props["totalGlobalMem"] // (1024 * 1024),
+                    "compute_capability": f"{props['major']}.{props['minor']}",
+                }
+        except ImportError:
+            diag["cuda"]["error"] = "CuPy not installed"
+            diag["cuda"]["install_hint"] = "pip install cupy-cuda12x"
+        except Exception as e:
+            diag["cuda"]["error"] = str(e)
+
+        # Check PyOpenCL
+        try:
+            import pyopencl as cl
+            diag["opencl"]["pyopencl_version"] = cl.VERSION_TEXT
+            diag["opencl"]["platforms"] = []
+            for p in cl.get_platforms():
+                platform_info = {"name": p.name.strip(), "devices": []}
+                for d in p.get_devices():
+                    platform_info["devices"].append({
+                        "name": d.name.strip(),
+                        "type": cl.device_type.to_string(d.type),
+                        "memory_mb": d.global_mem_size // (1024 * 1024),
+                        "compute_units": d.max_compute_units,
+                    })
+                diag["opencl"]["platforms"].append(platform_info)
+        except ImportError:
+            diag["opencl"]["error"] = "PyOpenCL not installed"
+            diag["opencl"]["install_hint"] = "pip install pyopencl"
+        except Exception as e:
+            diag["opencl"]["error"] = str(e)
+
+        return diag
+
     def set_device(self, backend: str, index: int = 0) -> dict:
         """Switch active compute device."""
         target_backend = GPUBackend(backend)

frontend/src/App.tsx

@@ -20,6 +20,7 @@ import ExportPanel from '@/components/panels/ExportPanel.tsx';
 import ProjectPanel from '@/components/panels/ProjectPanel.tsx';
 import CoverageStats from '@/components/panels/CoverageStats.tsx';
 import HistoryPanel from '@/components/panels/HistoryPanel.tsx';
+import BatchFrequencyChange from '@/components/panels/BatchFrequencyChange.tsx';
 import ResultsPanel from '@/components/panels/ResultsPanel.tsx';
 import SiteImportExport from '@/components/panels/SiteImportExport.tsx';
 import { SiteConfigModal } from '@/components/modals/index.ts';
@@ -728,6 +729,11 @@ export default function App() {
             {/* Site list */}
             <SiteList onEditSite={handleEditSite} onAddSite={handleAddManual} />
 
+            {/* Quick frequency change */}
+            <div className="bg-white dark:bg-dark-surface border border-gray-200 dark:border-dark-border rounded-lg shadow-sm">
+              <BatchFrequencyChange />
+            </div>
+
             {/* Coverage settings */}
             <div className="bg-white dark:bg-dark-surface border border-gray-200 dark:border-dark-border rounded-lg shadow-sm p-4 space-y-3">
               <h3 className="text-sm font-semibold text-gray-800 dark:text-dark-text">

frontend/src/components/map/CoverageBoundary.tsx

@@ -107,7 +107,10 @@ export default function CoverageBoundary({
 /**
  * Compute concave hull boundary path(s) for a set of coverage points.
  *
- * maxEdge = resolution * 3 (in km) gives good detail without over-fitting.
+ * Uses adaptive maxEdge based on point count and resolution:
+ * - More points → smaller maxEdge for finer detail
+ * - Larger resolution → larger maxEdge to avoid over-fitting
+ *
  * Returns multiple paths if hull is a MultiPolygon (disjoint coverage areas).
  * Falls back to empty if hull computation fails (e.g., collinear points).
  */
@@ -121,8 +124,17 @@ function computeConcaveHulls(
   const features = pts.map((p) => point([p.lon, p.lat]));
   const fc = featureCollection(features);
 
-  // maxEdge in km — resolution * 3 balances detail vs smoothness
+  // Adaptive maxEdge based on point density:
-  const maxEdge = (resolutionM * 3) / 1000;
+  // - Base: resolution * 2 (tighter fit)
+  // - For sparse grids (<100 pts): use larger edge to avoid holes
+  // - For dense grids (>1000 pts): use smaller edge for detail
+  let multiplier = 2.0;
+  if (pts.length < 100) {
+    multiplier = 4.0; // Sparse: wider tolerance
+  } else if (pts.length > 1000) {
+    multiplier = 1.5; // Dense: finer detail
+  }
+  const maxEdge = (resolutionM * multiplier) / 1000;
 
   try {
     const hull = concave(fc, { maxEdge, units: 'kilometers' });

frontend/src/components/panels/BatchFrequencyChange.tsx

@@ -0,0 +1,77 @@
+/**
+ * Quick frequency band selector for setting all sectors at once.
+ * Enables rapid comparison of coverage at different frequency bands.
+ */
+
+import { useSitesStore } from '@/store/sites.ts';
+import { COMMON_FREQUENCIES, FREQUENCY_GROUPS } from '@/constants/frequencies.ts';
+
+const QUICK_BANDS = [
+  { freq: 70, label: '70', color: 'text-indigo-400' },
+  { freq: 225, label: '225', color: 'text-cyan-400' },
+  { freq: 700, label: '700', color: 'text-red-400' },
+  { freq: 800, label: '800', color: 'text-orange-400' },
+  { freq: 900, label: '900', color: 'text-yellow-400' },
+  { freq: 1800, label: '1.8G', color: 'text-green-400' },
+  { freq: 2100, label: '2.1G', color: 'text-blue-400' },
+  { freq: 2600, label: '2.6G', color: 'text-purple-400' },
+  { freq: 3500, label: '3.5G', color: 'text-pink-400' },
+];
+
+export default function BatchFrequencyChange() {
+  const sites = useSitesStore((s) => s.sites);
+  const setAllSitesFrequency = useSitesStore((s) => s.setAllSitesFrequency);
+
+  if (sites.length === 0) return null;
+
+  // Get current frequency (from first site)
+  const currentFreq = sites[0]?.frequency ?? 1800;
+
+  // Check if all sites have same frequency
+  const allSameFreq = sites.every((s) => s.frequency === currentFreq);
+
+  // Get band info
+  const getBandName = (freq: number) => {
+    const band = COMMON_FREQUENCIES.find((b) => b.value === freq);
+    return band?.name ?? `${freq} MHz`;
+  };
+
+  const handleSetFrequency = async (freq: number) => {
+    await setAllSitesFrequency(freq);
+  };
+
+  return (
+    <div className="p-3 border-t border-gray-200 dark:border-dark-border">
+      <div className="flex items-center justify-between mb-2">
+        <h4 className="text-xs font-semibold text-gray-500 dark:text-dark-muted uppercase">
+          Quick Frequency
+        </h4>
+        <span className="text-[10px] text-gray-400 dark:text-dark-muted">
+          {allSameFreq ? getBandName(currentFreq) : 'Mixed'}
+        </span>
+      </div>
+      <div className="flex flex-wrap gap-1">
+        {QUICK_BANDS.map((b) => {
+          const isActive = allSameFreq && currentFreq === b.freq;
+          return (
+            <button
+              key={b.freq}
+              onClick={() => handleSetFrequency(b.freq)}
+              className={`px-2 py-1 text-xs rounded transition-colors ${
+                isActive
+                  ? 'bg-blue-100 text-blue-700 dark:bg-blue-900/30 dark:text-blue-300 ring-1 ring-blue-400'
+                  : 'bg-gray-100 hover:bg-gray-200 dark:bg-dark-border dark:hover:bg-dark-muted text-gray-700 dark:text-dark-text'
+              }`}
+              title={`Set all sectors to ${b.freq} MHz (${getBandName(b.freq)})`}
+            >
+              <span className={isActive ? '' : b.color}>{b.label}</span>
+            </button>
+          );
+        })}
+      </div>
+      <div className="mt-1.5 text-[10px] text-gray-400 dark:text-dark-muted">
+        Sets all {sites.length} sector{sites.length !== 1 ? 's' : ''} to selected band
+      </div>
+    </div>
+  );
+}

frontend/src/components/panels/HistoryPanel.tsx

@@ -3,6 +3,8 @@ import { useCalcHistoryStore } from '@/store/calcHistory.ts';
 import type { CalculationEntry } from '@/store/calcHistory.ts';
 
 function EntryDetail({ entry }: { entry: CalculationEntry }) {
+  const p = entry.propagation;
+
   return (
     <div className="mt-1.5 pt-1.5 border-t border-gray-100 dark:border-dark-border space-y-1.5 text-[10px]">
       {/* Coverage breakdown with percentages */}
@@ -38,6 +40,73 @@ function EntryDetail({ entry }: { entry: CalculationEntry }) {
         <span>Avg RSRP: {entry.avgRsrp.toFixed(1)} dBm</span>
         <span>Range: {entry.rangeMin.toFixed(0)} / {entry.rangeMax.toFixed(0)} dBm</span>
       </div>
+
+      {/* Propagation details */}
+      {p && (
+        <div className="pt-1.5 border-t border-gray-100 dark:border-dark-border space-y-1">
+          {/* Site parameters */}
+          <div className="flex flex-wrap gap-x-3 gap-y-0.5 text-gray-500 dark:text-dark-muted">
+            <span>{p.frequency} MHz</span>
+            <span>{p.txPower} dBm</span>
+            <span>{p.antennaGain} dBi</span>
+            <span>{p.antennaHeight} m</span>
+          </div>
+
+          {/* Models used */}
+          {p.modelsUsed.length > 0 && (
+            <div className="flex flex-wrap gap-1">
+              {p.modelsUsed.map((model) => (
+                <span
+                  key={model}
+                  className="px-1 py-0.5 bg-gray-100 dark:bg-dark-border text-gray-600 dark:text-dark-muted rounded"
+                >
+                  {model}
+                </span>
+              ))}
+            </div>
+          )}
+
+          {/* Active toggles summary */}
+          <div className="flex flex-wrap gap-1">
+            {p.use_terrain && (
+              <span className="px-1 py-0.5 bg-green-50 dark:bg-green-900/20 text-green-700 dark:text-green-300 rounded">Terrain</span>
+            )}
+            {p.use_buildings && (
+              <span className="px-1 py-0.5 bg-green-50 dark:bg-green-900/20 text-green-700 dark:text-green-300 rounded">Buildings</span>
+            )}
+            {p.use_materials && (
+              <span className="px-1 py-0.5 bg-green-50 dark:bg-green-900/20 text-green-700 dark:text-green-300 rounded">Materials</span>
+            )}
+            {p.use_dominant_path && (
+              <span className="px-1 py-0.5 bg-green-50 dark:bg-green-900/20 text-green-700 dark:text-green-300 rounded">DomPath</span>
+            )}
+            {p.use_reflections && (
+              <span className="px-1 py-0.5 bg-green-50 dark:bg-green-900/20 text-green-700 dark:text-green-300 rounded">Reflections</span>
+            )}
+            {p.use_vegetation && (
+              <span className="px-1 py-0.5 bg-green-50 dark:bg-green-900/20 text-green-700 dark:text-green-300 rounded">Vegetation</span>
+            )}
+            {p.use_atmospheric && (
+              <span className="px-1 py-0.5 bg-green-50 dark:bg-green-900/20 text-green-700 dark:text-green-300 rounded">Atmospheric</span>
+            )}
+            {p.fading_margin > 0 && (
+              <span className="px-1 py-0.5 bg-orange-50 dark:bg-orange-900/20 text-orange-700 dark:text-orange-300 rounded">
+                -{p.fading_margin} dB fade
+              </span>
+            )}
+            {p.rain_rate > 0 && (
+              <span className="px-1 py-0.5 bg-blue-50 dark:bg-blue-900/20 text-blue-700 dark:text-blue-300 rounded">
+                Rain {p.rain_rate} mm/h
+              </span>
+            )}
+            {p.indoor_loss_type !== 'none' && (
+              <span className="px-1 py-0.5 bg-purple-50 dark:bg-purple-900/20 text-purple-700 dark:text-purple-300 rounded">
+                Indoor: {p.indoor_loss_type}
+              </span>
+            )}
+          </div>
+        </div>
+      )}
     </div>
   );
 }

frontend/src/components/ui/GPUIndicator.tsx

@@ -1,6 +1,7 @@
 /**
  * Small header badge showing the active compute backend (CPU or GPU).
  * Fetches status on mount. Clicking opens a dropdown to switch devices.
+ * Dropdown opens to the LEFT to avoid overlapping map controls.
  */
 
 import { useState, useEffect, useRef } from 'react';
@@ -11,6 +12,8 @@ export default function GPUIndicator() {
   const [status, setStatus] = useState<GPUStatus | null>(null);
   const [open, setOpen] = useState(false);
   const [switching, setSwitching] = useState(false);
+  const [diagnostics, setDiagnostics] = useState<Record<string, unknown> | null>(null);
+  const [showDiag, setShowDiag] = useState(false);
   const ref = useRef<HTMLDivElement>(null);
 
   useEffect(() => {
@@ -23,6 +26,7 @@ export default function GPUIndicator() {
     const handler = (e: MouseEvent) => {
       if (ref.current && !ref.current.contains(e.target as Node)) {
         setOpen(false);
+        setShowDiag(false);
       }
     };
     document.addEventListener('mousedown', handler);
@@ -32,7 +36,7 @@ export default function GPUIndicator() {
   if (!status) return null;
 
   const isGPU = status.active_backend !== 'cpu';
-  // Short label for header badge
+  // Short label: just "CPU" or first word of GPU name
   const label = isGPU
     ? (status.active_device?.name?.split(' ')[0] ?? 'GPU')
     : 'CPU';
@@ -50,6 +54,16 @@ export default function GPUIndicator() {
     setOpen(false);
   };
 
+  const handleRunDiagnostics = async () => {
+    try {
+      const diag = await api.getGPUDiagnostics();
+      setDiagnostics(diag);
+      setShowDiag(true);
+    } catch {
+      // ignore
+    }
+  };
+
   return (
     <div ref={ref} className="relative">
       <button
@@ -59,13 +73,13 @@ export default function GPUIndicator() {
             ? 'bg-green-100 text-green-700 hover:bg-green-200 dark:bg-green-900/30 dark:text-green-300 dark:hover:bg-green-900/50'
             : 'bg-gray-100 text-gray-600 hover:bg-gray-200 dark:bg-dark-border dark:text-dark-muted dark:hover:bg-dark-muted'
           }`}
-        title={`Compute: ${label}`}
+        title={`Compute: ${status.active_device?.name ?? label}`}
       >
         {isGPU ? '\u26A1' : '\u2699\uFE0F'} {label}
       </button>
 
       {open && (
-        <div className="absolute top-full right-0 mt-1 w-56 bg-white dark:bg-dark-surface border border-gray-200 dark:border-dark-border rounded-lg shadow-lg z-50 py-1">
+        <div className="absolute top-full left-0 mt-1 w-64 bg-white dark:bg-dark-surface border border-gray-200 dark:border-dark-border rounded-lg shadow-lg z-[9999] py-1">
           <div className="px-3 py-1.5 text-[10px] font-semibold text-gray-400 dark:text-dark-muted uppercase">
             Compute Devices
           </div>
@@ -98,6 +112,37 @@ export default function GPUIndicator() {
               </button>
             );
           })}
+
+          {/* Show help when only CPU available */}
+          {status.available_devices.length === 1 && status.active_backend === 'cpu' && (
+            <div className="border-t border-gray-100 dark:border-dark-border mt-1 pt-2 px-3 pb-2">
+              <div className="text-[10px] text-yellow-600 dark:text-yellow-400 mb-2">
+                No GPU detected. For faster calculations:
+              </div>
+              <div className="text-[10px] text-gray-500 dark:text-dark-muted space-y-0.5">
+                <div>NVIDIA: <code className="bg-gray-100 dark:bg-dark-border px-1 rounded">pip install cupy-cuda12x</code></div>
+                <div>Intel/AMD: <code className="bg-gray-100 dark:bg-dark-border px-1 rounded">pip install pyopencl</code></div>
+              </div>
+              <button
+                onClick={handleRunDiagnostics}
+                className="mt-2 w-full text-[10px] text-blue-600 dark:text-blue-400 hover:underline text-left"
+              >
+                Run Diagnostics
+              </button>
+            </div>
+          )}
+
+          {/* Diagnostics output */}
+          {showDiag && diagnostics && (
+            <div className="border-t border-gray-100 dark:border-dark-border mt-1 pt-2 px-3 pb-2 max-h-48 overflow-y-auto">
+              <div className="text-[10px] font-semibold text-gray-500 dark:text-dark-muted mb-1">
+                Diagnostics
+              </div>
+              <pre className="text-[9px] text-gray-600 dark:text-gray-400 whitespace-pre-wrap break-all">
+                {JSON.stringify(diagnostics, null, 2)}
+              </pre>
+            </div>
+          )}
         </div>
       )}
     </div>

frontend/src/services/api.ts

@@ -240,6 +240,12 @@ class ApiService {
     return response.json();
   }
 
+  async getGPUDiagnostics(): Promise<Record<string, unknown>> {
+    const response = await fetch(`${API_BASE}/api/gpu/diagnostics`);
+    if (!response.ok) throw new Error('Failed to get GPU diagnostics');
+    return response.json();
+  }
+
   // === Terrain Profile API ===
 
   async getTerrainProfile(

frontend/src/store/calcHistory.ts

@@ -1,5 +1,29 @@
 import { create } from 'zustand';
 
+export interface PropagationSnapshot {
+  // Models used
+  modelsUsed: string[];
+  use_terrain: boolean;
+  use_buildings: boolean;
+  use_materials: boolean;
+  use_dominant_path: boolean;
+  use_street_canyon: boolean;
+  use_reflections: boolean;
+  use_water_reflection: boolean;
+  use_vegetation: boolean;
+  use_atmospheric: boolean;
+  // Site params (first site or average)
+  frequency: number;
+  txPower: number;
+  antennaGain: number;
+  antennaHeight: number;
+  // Environmental
+  season: string;
+  rain_rate: number;
+  indoor_loss_type: string;
+  fading_margin: number;
+}
+
 export interface CalculationEntry {
   id: string;
   timestamp: Date;
@@ -12,6 +36,8 @@ export interface CalculationEntry {
   avgRsrp: number;
   rangeMin: number;
   rangeMax: number;
+  // Propagation snapshot for detailed history
+  propagation?: PropagationSnapshot;
 }
 
 interface CalcHistoryState {

frontend/src/store/coverage.ts

@@ -5,7 +5,7 @@ import type { WSProgress } from '@/services/websocket.ts';
 import { useSitesStore } from '@/store/sites.ts';
 import { useToastStore } from '@/components/ui/Toast.tsx';
 import { useCalcHistoryStore } from '@/store/calcHistory.ts';
-import type { CalculationEntry } from '@/store/calcHistory.ts';
+import type { CalculationEntry, PropagationSnapshot } from '@/store/calcHistory.ts';
 import type { CoverageResult, CoverageSettings, CoverageApiStats } from '@/types/index.ts';
 import type { ApiSiteParams, CoverageResponse } from '@/services/api.ts';
 
@@ -119,6 +119,32 @@ function buildHistoryEntry(result: CoverageResult): CalculationEntry {
   const avgRsrp = result.stats?.avg_rsrp
     ?? (total > 0 ? result.points.reduce((s, p) => s + p.rsrp, 0) / total : 0);
 
+  // Capture propagation snapshot from settings + sites
+  const sites = useSitesStore.getState().sites.filter((s) => s.visible);
+  const firstSite = sites[0];
+  const settings = result.settings;
+
+  const propagation: PropagationSnapshot = {
+    modelsUsed: result.modelsUsed ?? [],
+    use_terrain: settings.use_terrain ?? true,
+    use_buildings: settings.use_buildings ?? true,
+    use_materials: settings.use_materials ?? true,
+    use_dominant_path: settings.use_dominant_path ?? false,
+    use_street_canyon: settings.use_street_canyon ?? false,
+    use_reflections: settings.use_reflections ?? false,
+    use_water_reflection: settings.use_water_reflection ?? false,
+    use_vegetation: settings.use_vegetation ?? false,
+    use_atmospheric: settings.use_atmospheric ?? false,
+    frequency: firstSite?.frequency ?? 1800,
+    txPower: firstSite?.power ?? 43,
+    antennaGain: firstSite?.gain ?? 18,
+    antennaHeight: firstSite?.height ?? 30,
+    season: settings.season ?? 'summer',
+    rain_rate: settings.rain_rate ?? 0,
+    indoor_loss_type: settings.indoor_loss_type ?? 'none',
+    fading_margin: settings.fading_margin ?? 0,
+  };
+
   return {
     id: crypto.randomUUID(),
     timestamp: new Date(),
@@ -136,6 +162,7 @@ function buildHistoryEntry(result: CoverageResult): CalculationEntry {
     avgRsrp,
     rangeMin: minRsrp === Infinity ? 0 : minRsrp,
     rangeMax: maxRsrp === -Infinity ? 0 : maxRsrp,
+    propagation,
   };
 }
 

frontend/src/store/sites.ts

@@ -64,6 +64,7 @@ interface SitesState {
   batchAdjustTilt: (delta: number) => Promise<void>;
   batchSetTilt: (tilt: number) => Promise<void>;
   batchSetFrequency: (frequency: number) => Promise<void>;
+  setAllSitesFrequency: (frequency: number) => Promise<void>;
 }
 
 export const useSitesStore = create<SitesState>((set, get) => ({
@@ -584,4 +585,30 @@ export const useSitesStore = create<SitesState>((set, get) => ({
     set({ sites: updatedSites });
     useCoverageStore.getState().clearCoverage();
   },
+
+  setAllSitesFrequency: async (frequency: number) => {
+    const { sites } = get();
+    if (sites.length === 0) return;
+    pushSnapshot('set all sites frequency', sites);
+    const clamped = Math.max(100, Math.min(6000, frequency));
+    const now = new Date();
+
+    const updatedSites = sites.map((site) => ({
+      ...site,
+      frequency: clamped,
+      updatedAt: now,
+    }));
+
+    for (const site of updatedSites) {
+      await db.sites.put({
+        id: site.id,
+        data: JSON.stringify(site),
+        createdAt: site.createdAt.getTime(),
+        updatedAt: now.getTime(),
+      });
+    }
+
+    set({ sites: updatedSites });
+    useCoverageStore.getState().clearCoverage();
+  },
 }));