@mytec: iter2.2 ready for testing

backend/app/api/routes/regions.py

@@ -0,0 +1,256 @@
+from fastapi import APIRouter, BackgroundTasks, HTTPException
+from pydantic import BaseModel
+from typing import Optional
+import asyncio
+import uuid
+
+router = APIRouter()
+
+# Predefined regions
+REGIONS = {
+    "ukraine": {
+        "name": "Ukraine",
+        "bbox": [44.0, 22.0, 52.5, 40.5],  # min_lat, min_lon, max_lat, max_lon
+        "srtm_tiles": 120,
+        "estimated_size_gb": 3.0,
+    },
+    "ukraine_east": {
+        "name": "Eastern Ukraine (Donbas)",
+        "bbox": [47.0, 34.0, 50.5, 40.5],
+        "srtm_tiles": 24,
+        "estimated_size_gb": 0.6,
+    },
+    "ukraine_central": {
+        "name": "Central Ukraine",
+        "bbox": [48.0, 30.0, 51.0, 36.0],
+        "srtm_tiles": 18,
+        "estimated_size_gb": 0.5,
+    },
+    "kyiv_region": {
+        "name": "Kyiv Region",
+        "bbox": [49.5, 29.5, 51.5, 32.5],
+        "srtm_tiles": 6,
+        "estimated_size_gb": 0.15,
+    },
+}
+
+# Download progress tracking (in-memory)
+_download_tasks: dict[str, dict] = {}
+
+
+class RegionInfo(BaseModel):
+    id: str
+    name: str
+    bbox: list[float]
+    srtm_tiles: int
+    estimated_size_gb: float
+    downloaded: bool = False
+    download_progress: float = 0.0
+
+
+class DownloadProgress(BaseModel):
+    task_id: str
+    region_id: str
+    status: str  # queued, downloading_terrain, downloading_osm, done, error
+    progress: float  # 0-100
+    current_step: str
+    downloaded_mb: float
+    error: Optional[str] = None
+
+
+@router.get("/available")
+async def list_regions() -> list[RegionInfo]:
+    """List available regions for download"""
+    from app.services.terrain_service import terrain_service
+
+    cached_tiles = set(terrain_service.get_cached_tiles())
+
+    result = []
+    for region_id, info in REGIONS.items():
+        min_lat, min_lon, max_lat, max_lon = info["bbox"]
+        needed_tiles = set()
+        for lat in range(int(min_lat), int(max_lat) + 1):
+            for lon in range(int(min_lon), int(max_lon) + 1):
+                tile = terrain_service.get_tile_name(lat, lon)
+                needed_tiles.add(tile)
+
+        downloaded_tiles = needed_tiles & cached_tiles
+        progress = len(downloaded_tiles) / len(needed_tiles) * 100 if needed_tiles else 0
+
+        result.append(RegionInfo(
+            id=region_id,
+            name=info["name"],
+            bbox=info["bbox"],
+            srtm_tiles=info["srtm_tiles"],
+            estimated_size_gb=info["estimated_size_gb"],
+            downloaded=progress >= 100,
+            download_progress=progress
+        ))
+
+    return result
+
+
+@router.post("/download/{region_id}")
+async def start_download(region_id: str, background_tasks: BackgroundTasks) -> dict:
+    """Start downloading a region in the background"""
+    if region_id not in REGIONS:
+        raise HTTPException(404, f"Region '{region_id}' not found")
+
+    # Check if already downloading
+    for task_id, task in _download_tasks.items():
+        if task["region_id"] == region_id and task["status"] not in ["done", "error"]:
+            return {"task_id": task_id, "status": "already_downloading"}
+
+    task_id = str(uuid.uuid4())[:8]
+
+    _download_tasks[task_id] = {
+        "region_id": region_id,
+        "status": "queued",
+        "progress": 0.0,
+        "current_step": "Starting...",
+        "downloaded_mb": 0.0,
+        "error": None
+    }
+
+    background_tasks.add_task(_download_region_task, task_id, region_id)
+
+    return {"task_id": task_id, "status": "started"}
+
+
+async def _download_region_task(task_id: str, region_id: str):
+    """Background task to download region data"""
+    from app.services.terrain_service import terrain_service
+    from app.services.buildings_service import buildings_service
+    from app.services.water_service import water_service
+    from app.services.vegetation_service import vegetation_service
+
+    task = _download_tasks[task_id]
+    region = REGIONS[region_id]
+    min_lat, min_lon, max_lat, max_lon = region["bbox"]
+
+    try:
+        # Phase 1: Download SRTM tiles (0-70%)
+        task["status"] = "downloading_terrain"
+        task["current_step"] = "Downloading terrain data..."
+
+        # Count total tiles
+        total_tiles = 0
+        for lat in range(int(min_lat), int(max_lat) + 1):
+            for lon in range(int(min_lon), int(max_lon) + 1):
+                total_tiles += 1
+
+        downloaded_count = 0
+        for lat in range(int(min_lat), int(max_lat) + 1):
+            for lon in range(int(min_lon), int(max_lon) + 1):
+                tile_name = terrain_service.get_tile_name(lat, lon)
+                await terrain_service.download_tile(tile_name)
+                downloaded_count += 1
+                task["progress"] = (downloaded_count / total_tiles) * 70.0
+                task["current_step"] = f"Terrain: {downloaded_count}/{total_tiles} tiles"
+                task["downloaded_mb"] = terrain_service.get_cache_size_mb()
+
+        # Phase 2: Pre-cache OSM data (70-100%)
+        task["status"] = "downloading_osm"
+        task["current_step"] = "Downloading building data..."
+
+        total_chunks = 0
+        for lat in range(int(min_lat), int(max_lat) + 1):
+            for lon in range(int(min_lon), int(max_lon) + 1):
+                total_chunks += 1
+
+        done_chunks = 0
+        for lat in range(int(min_lat), int(max_lat) + 1):
+            for lon in range(int(min_lon), int(max_lon) + 1):
+                chunk_min_lat = float(lat)
+                chunk_min_lon = float(lon)
+                chunk_max_lat = float(lat + 1)
+                chunk_max_lon = float(lon + 1)
+
+                try:
+                    await buildings_service.fetch_buildings(
+                        chunk_min_lat, chunk_min_lon,
+                        chunk_max_lat, chunk_max_lon
+                    )
+                except Exception as e:
+                    print(f"[Region] Buildings chunk error: {e}")
+
+                try:
+                    await water_service.fetch_water_bodies(
+                        chunk_min_lat, chunk_min_lon,
+                        chunk_max_lat, chunk_max_lon
+                    )
+                except Exception as e:
+                    print(f"[Region] Water chunk error: {e}")
+
+                try:
+                    await vegetation_service.fetch_vegetation(
+                        chunk_min_lat, chunk_min_lon,
+                        chunk_max_lat, chunk_max_lon
+                    )
+                except Exception as e:
+                    print(f"[Region] Vegetation chunk error: {e}")
+
+                done_chunks += 1
+                task["progress"] = 70 + (done_chunks / total_chunks) * 30
+                task["current_step"] = f"OSM data: {done_chunks}/{total_chunks} chunks"
+
+                # Delay to avoid Overpass rate limiting
+                await asyncio.sleep(1.0)
+
+        task["status"] = "done"
+        task["progress"] = 100.0
+        task["current_step"] = "Complete!"
+
+    except Exception as e:
+        task["status"] = "error"
+        task["error"] = str(e)
+        task["current_step"] = f"Error: {e}"
+
+
+@router.get("/download/{task_id}/progress")
+async def get_download_progress(task_id: str) -> DownloadProgress:
+    """Get download progress for a task"""
+    if task_id not in _download_tasks:
+        raise HTTPException(404, "Task not found")
+
+    task = _download_tasks[task_id]
+    return DownloadProgress(
+        task_id=task_id,
+        region_id=task["region_id"],
+        status=task["status"],
+        progress=task["progress"],
+        current_step=task["current_step"],
+        downloaded_mb=task["downloaded_mb"],
+        error=task["error"]
+    )
+
+
+@router.delete("/cache")
+async def clear_cache() -> dict:
+    """Clear all OSM cached data (keeps SRTM terrain)"""
+    from app.services.buildings_service import buildings_service
+    from app.services.water_service import water_service
+    from app.services.vegetation_service import vegetation_service
+
+    buildings_service.cache.clear()
+    water_service.cache.clear()
+    vegetation_service.cache.clear()
+
+    return {"status": "ok", "message": "OSM cache cleared"}
+
+
+@router.get("/cache/stats")
+async def get_cache_stats() -> dict:
+    """Get cache statistics"""
+    from app.services.terrain_service import terrain_service
+    from app.services.buildings_service import buildings_service
+    from app.services.water_service import water_service
+    from app.services.vegetation_service import vegetation_service
+
+    return {
+        "terrain_mb": round(terrain_service.get_cache_size_mb(), 2),
+        "terrain_tiles": len(terrain_service.get_cached_tiles()),
+        "buildings_mb": round(buildings_service.cache.get_size_mb(), 2),
+        "water_mb": round(water_service.cache.get_size_mb(), 2),
+        "vegetation_mb": round(vegetation_service.cache.get_size_mb(), 2),
+    }

backend/app/main.py

@@ -4,7 +4,7 @@ from fastapi import FastAPI
 from fastapi.middleware.cors import CORSMiddleware
 
 from app.core.database import connect_to_mongo, close_mongo_connection
-from app.api.routes import health, projects, terrain, coverage
+from app.api.routes import health, projects, terrain, coverage, regions
 
 
 @asynccontextmanager
@@ -24,7 +24,7 @@ app = FastAPI(
 # CORS for frontend
 app.add_middleware(
     CORSMiddleware,
-    allow_origins=["https://rfcp.eliah.one", "http://localhost:5173"],
+    allow_origins=["https://rfcp.eliah.one", "http://localhost:5173", "http://127.0.0.1:8888"],
     allow_credentials=True,
     allow_methods=["*"],
     allow_headers=["*"],
@@ -35,6 +35,7 @@ app.include_router(health.router, prefix="/api/health", tags=["health"])
 app.include_router(projects.router, prefix="/api/projects", tags=["projects"])
 app.include_router(terrain.router, prefix="/api/terrain", tags=["terrain"])
 app.include_router(coverage.router, prefix="/api/coverage", tags=["coverage"])
+app.include_router(regions.router, prefix="/api/regions", tags=["regions"])
 
 
 @app.get("/")

backend/app/services/buildings_service.py

@@ -1,12 +1,11 @@
+import os
 import re
 import httpx
-import asyncio
+import json
 from typing import List, Optional
 from pydantic import BaseModel
-from functools import lru_cache
-import hashlib
-import json
 from pathlib import Path
+from datetime import datetime, timedelta
 
 
 class Building(BaseModel):
@@ -20,24 +19,89 @@ class Building(BaseModel):
     tags: dict = {}  # Store all OSM tags for material detection
 
 
+class OSMCache:
+    """Local cache for OSM data with expiry"""
+
+    CACHE_EXPIRY_DAYS = 30
+
+    def __init__(self, cache_type: str):
+        self.data_path = Path(os.environ.get('RFCP_DATA_PATH', './data'))
+        self.cache_path = self.data_path / 'osm' / cache_type
+        self.cache_path.mkdir(parents=True, exist_ok=True)
+
+    def _get_cache_key(self, min_lat: float, min_lon: float, max_lat: float, max_lon: float) -> str:
+        """Generate cache key from bbox (rounded to 0.01 degree grid)"""
+        return f"{min_lat:.2f}_{min_lon:.2f}_{max_lat:.2f}_{max_lon:.2f}"
+
+    def _get_cache_file(self, cache_key: str) -> Path:
+        return self.cache_path / f"{cache_key}.json"
+
+    def get(self, min_lat: float, min_lon: float, max_lat: float, max_lon: float) -> Optional[dict]:
+        """Get cached data if available and not expired"""
+        cache_key = self._get_cache_key(min_lat, min_lon, max_lat, max_lon)
+        cache_file = self._get_cache_file(cache_key)
+
+        if not cache_file.exists():
+            return None
+
+        try:
+            data = json.loads(cache_file.read_text())
+
+            # Check expiry
+            cached_at = datetime.fromisoformat(data.get('_cached_at', '2000-01-01'))
+            if datetime.now() - cached_at > timedelta(days=self.CACHE_EXPIRY_DAYS):
+                return None
+
+            return data.get('data')
+
+        except Exception as e:
+            print(f"[OSMCache] Failed to read cache: {e}")
+            return None
+
+    def set(self, min_lat: float, min_lon: float, max_lat: float, max_lon: float, data):
+        """Save data to cache"""
+        cache_key = self._get_cache_key(min_lat, min_lon, max_lat, max_lon)
+        cache_file = self._get_cache_file(cache_key)
+
+        try:
+            cache_data = {
+                '_cached_at': datetime.now().isoformat(),
+                '_bbox': [min_lat, min_lon, max_lat, max_lon],
+                'data': data
+            }
+            cache_file.write_text(json.dumps(cache_data))
+
+        except Exception as e:
+            print(f"[OSMCache] Failed to write cache: {e}")
+
+    def clear(self):
+        """Clear all cached data"""
+        for f in self.cache_path.glob("*.json"):
+            f.unlink()
+
+    def get_size_mb(self) -> float:
+        """Get cache size in MB"""
+        total = sum(f.stat().st_size for f in self.cache_path.glob("*.json"))
+        return total / (1024 * 1024)
+
+
 class BuildingsService:
     """
-    OpenStreetMap buildings via Overpass API
+    OpenStreetMap buildings via Overpass API with local caching.
     """
 
     OVERPASS_URL = "https://overpass-api.de/api/interpreter"
     DEFAULT_LEVEL_HEIGHT = 3.0  # meters per floor
     DEFAULT_BUILDING_HEIGHT = 9.0  # 3 floors if unknown
 
-    def __init__(self, cache_dir: str = "/opt/rfcp/backend/data/buildings"):
+    def __init__(self):
-        self.cache_dir = Path(cache_dir)
+        self.cache = OSMCache('buildings')
-        self.cache_dir.mkdir(exist_ok=True, parents=True)
         self._memory_cache: dict[str, List[Building]] = {}
-        self._max_cache_size = 50  # bbox regions
+        self._max_cache_size = 50
 
     @staticmethod
     def _safe_int(value) -> Optional[int]:
-        """Safely parse int from OSM tag (handles '1а', '2-3', '5+', etc.)"""
+        """Safely parse int from OSM tag (handles '1a', '2-3', '5+', etc.)"""
         if not value:
             return None
         try:
@@ -63,10 +127,8 @@ class BuildingsService:
             return None
 
     def _bbox_key(self, min_lat: float, min_lon: float, max_lat: float, max_lon: float) -> str:
-        """Generate cache key for bbox"""
+        """Generate memory cache key for bbox"""
-        # Round to 0.01 degree (~1km) grid for cache efficiency
+        return f"{min_lat:.2f}_{min_lon:.2f}_{max_lat:.2f}_{max_lon:.2f}"
-        key = f"{min_lat:.2f},{min_lon:.2f},{max_lat:.2f},{max_lon:.2f}"
-        return hashlib.md5(key.encode()).hexdigest()[:12]
 
     async def fetch_buildings(
         self,
@@ -74,35 +136,25 @@ class BuildingsService:
         max_lat: float, max_lon: float,
         use_cache: bool = True
     ) -> List[Building]:
-        """
+        """Fetch buildings in bounding box from OSM, using cache if available"""
-        Fetch buildings in bounding box from OSM
+        bbox_key = self._bbox_key(min_lat, min_lon, max_lat, max_lon)
-
-        Args:
-            min_lat, min_lon, max_lat, max_lon: Bounding box
-            use_cache: Whether to use cached results
-
-        Returns:
-            List of Building objects with height estimates
-        """
-        cache_key = self._bbox_key(min_lat, min_lon, max_lat, max_lon)
 
         # Check memory cache
-        if use_cache and cache_key in self._memory_cache:
+        if use_cache and bbox_key in self._memory_cache:
-            return self._memory_cache[cache_key]
+            return self._memory_cache[bbox_key]
 
-        # Check disk cache
+        # Check disk cache (OSMCache with expiry)
-        cache_file = self.cache_dir / f"{cache_key}.json"
+        if use_cache:
-        if use_cache and cache_file.exists():
+            cached = self.cache.get(min_lat, min_lon, max_lat, max_lon)
-            try:
+            if cached is not None:
-                with open(cache_file, 'r') as f:
+                print(f"[Buildings] Cache hit for bbox")
-                    data = json.load(f)
+                buildings = [Building(**b) for b in cached]
-                buildings = [Building(**b) for b in data]
+                self._memory_cache[bbox_key] = buildings
-                self._memory_cache[cache_key] = buildings
                 return buildings
-            except Exception:
-                pass  # Fetch fresh if cache corrupted
 
         # Fetch from Overpass API
+        print(f"[Buildings] Fetching from Overpass API...")
+
         query = f"""
         [out:json][timeout:30];
         (
@@ -123,23 +175,21 @@ class BuildingsService:
                 response.raise_for_status()
                 data = response.json()
         except Exception as e:
-            print(f"Overpass API error: {e}")
+            print(f"[Buildings] Overpass API error: {e}")
             return []
 
-        # Parse response
         buildings = self._parse_overpass_response(data)
 
-        # Cache results
+        # Save to disk cache
         if buildings:
-            # Disk cache
+            self.cache.set(min_lat, min_lon, max_lat, max_lon,
-            with open(cache_file, 'w') as f:
+                           [b.model_dump() for b in buildings])
-                json.dump([b.model_dump() for b in buildings], f)
 
-            # Memory cache (with size limit)
+        # Memory cache with size limit
         if len(self._memory_cache) >= self._max_cache_size:
             oldest = next(iter(self._memory_cache))
             del self._memory_cache[oldest]
-            self._memory_cache[cache_key] = buildings
+        self._memory_cache[bbox_key] = buildings
 
         return buildings
 
@@ -162,19 +212,16 @@ class BuildingsService:
             if "building" not in tags:
                 continue
 
-            # Get geometry
             geometry = []
             for node_id in element.get("nodes", []):
                 if node_id in nodes:
                     geometry.append(list(nodes[node_id]))
 
             if len(geometry) < 3:
-                continue  # Invalid polygon
+                continue
 
-            # Estimate height
             height = self._estimate_height(tags)
 
-            # Detect material from tags
             material_str = None
             if "building:material" in tags:
                 material_str = tags["building:material"]
@@ -195,19 +242,16 @@ class BuildingsService:
 
     def _estimate_height(self, tags: dict) -> float:
         """Estimate building height from OSM tags"""
-        # Explicit height tag
         if "height" in tags:
             h = self._safe_float(tags["height"])
             if h is not None and h > 0:
                 return h
 
-        # Calculate from levels
         if "building:levels" in tags:
             levels = self._safe_int(tags["building:levels"])
             if levels is not None and levels > 0:
                 return levels * self.DEFAULT_LEVEL_HEIGHT
 
-        # Default based on building type
         building_type = tags.get("building", "yes")
         type_heights = {
             "house": 6.0,
@@ -254,18 +298,10 @@ class BuildingsService:
         lat2: float, lon2: float, height2: float,
         building: Building
     ) -> Optional[float]:
-        """
+        """Check if line segment intersects building.
-        Check if line segment intersects building
+        Returns distance along path where intersection occurs, or None."""
-
-        Returns:
-            Distance along path where intersection occurs, or None
-        """
-        # Simplified 2D check + height comparison
-        # For accurate 3D intersection, would need proper ray-polygon intersection
-
         from app.services.terrain_service import TerrainService
 
-        # Sample points along line
         num_samples = 20
         for i in range(num_samples):
             t = i / num_samples
@@ -274,9 +310,7 @@ class BuildingsService:
             height = height1 + t * (height2 - height1)
 
             if self.point_in_building(lat, lon, building):
-                # Check if signal height is below building
                 if height < building.height:
-                    # Calculate distance
                     dist = t * TerrainService.haversine_distance(lat1, lon1, lat2, lon2)
                     return dist
 

backend/app/services/terrain_service.py

@@ -1,34 +1,37 @@
+import os
 import struct
 import asyncio
-import aiofiles
+import gzip
+import zipfile
+import io
+import numpy as np
 import httpx
 from pathlib import Path
 from typing import List, Optional, Tuple
-import numpy as np
 
 
 class TerrainService:
     """
-    SRTM elevation data service
+    SRTM elevation data service with local caching.
-    - Downloads and caches .hgt tiles
+    - Stores tiles in RFCP_DATA_PATH/terrain/
-    - Provides elevation lookups
+    - In-memory LRU cache (max 20 tiles)
-    - Generates elevation profiles
+    - Auto-downloads from S3 mirror
+    - Supports both SRTM1 (3601x3601) and SRTM3 (1201x1201)
     """
 
-    # SRTM tile dimensions (1 arc-second = 3601x3601, 3 arc-second = 1201x1201)
+    SRTM_SOURCES = [
-    TILE_SIZE = 3601  # 1 arc-second (30m resolution)
-
-    # Mirror URLs for SRTM data (USGS requires login, use mirrors)
-    SRTM_MIRRORS = [
         "https://elevation-tiles-prod.s3.amazonaws.com/skadi/{lat_dir}/{tile_name}.hgt.gz",
         "https://s3.amazonaws.com/elevation-tiles-prod/skadi/{lat_dir}/{tile_name}.hgt.gz",
     ]
 
-    def __init__(self, cache_dir: str = "/opt/rfcp/backend/data/srtm"):
+    def __init__(self):
-        self.cache_dir = Path(cache_dir)
+        self.data_path = Path(os.environ.get('RFCP_DATA_PATH', './data'))
-        self.cache_dir.mkdir(exist_ok=True, parents=True)
+        self.terrain_path = self.data_path / 'terrain'
-        self._tile_cache: dict[str, np.ndarray] = {}  # In-memory cache
+        self.terrain_path.mkdir(parents=True, exist_ok=True)
-        self._max_cached_tiles = 10  # Limit memory usage
+
+        # In-memory cache for loaded tiles
+        self._tile_cache: dict[str, np.ndarray] = {}
+        self._max_cache_tiles = 20  # ~500MB max
 
     def get_tile_name(self, lat: float, lon: float) -> str:
         """Convert lat/lon to SRTM tile name (e.g., N48E035)"""
@@ -42,73 +45,96 @@ class TerrainService:
 
     def get_tile_path(self, tile_name: str) -> Path:
         """Get local path for tile"""
-        return self.cache_dir / f"{tile_name}.hgt"
+        return self.terrain_path / f"{tile_name}.hgt"
 
     async def download_tile(self, tile_name: str) -> bool:
-        """Download SRTM tile from mirror"""
+        """Download SRTM tile if not cached locally"""
-        import gzip
-
         tile_path = self.get_tile_path(tile_name)
+
         if tile_path.exists():
             return True
 
         lat_dir = tile_name[:3]  # e.g., "N48"
 
         async with httpx.AsyncClient(timeout=60.0) as client:
-            for mirror in self.SRTM_MIRRORS:
+            for source_url in self.SRTM_SOURCES:
-                url = mirror.format(lat_dir=lat_dir, tile_name=tile_name)
+                url = source_url.format(lat_dir=lat_dir, tile_name=tile_name)
                 try:
                     response = await client.get(url)
+
                     if response.status_code == 200:
-                        # Decompress gzip
+                        data = response.content
-                        decompressed = gzip.decompress(response.content)
 
-                        async with aiofiles.open(tile_path, 'wb') as f:
+                        if url.endswith('.gz'):
-                            await f.write(decompressed)
+                            data = gzip.decompress(data)
+                        elif url.endswith('.zip'):
+                            with zipfile.ZipFile(io.BytesIO(data)) as zf:
+                                for name in zf.namelist():
+                                    if name.endswith('.hgt'):
+                                        data = zf.read(name)
+                                        break
 
-                        print(f"Downloaded {tile_name} from {mirror}")
+                        tile_path.write_bytes(data)
+                        print(f"[Terrain] Downloaded {tile_name} ({len(data)} bytes)")
                         return True
+
                 except Exception as e:
-                    print(f"Failed to download from {mirror}: {e}")
+                    print(f"[Terrain] Failed from {url}: {e}")
                     continue
 
-        print(f"Failed to download tile {tile_name}")
+        print(f"[Terrain] Could not download {tile_name}")
         return False
 
-    async def load_tile(self, tile_name: str) -> Optional[np.ndarray]:
+    def _load_tile(self, tile_name: str) -> Optional[np.ndarray]:
-        """Load tile into memory (with caching)"""
+        """Load tile from disk into memory cache"""
-        # Check memory cache
+        # Check memory cache first
         if tile_name in self._tile_cache:
             return self._tile_cache[tile_name]
 
         tile_path = self.get_tile_path(tile_name)
 
-        # Download if missing
         if not tile_path.exists():
+            return None
+
+        try:
+            data = tile_path.read_bytes()
+
+            # SRTM HGT format: big-endian signed 16-bit integers
+            if len(data) == 3601 * 3601 * 2:
+                size = 3601  # SRTM1 (30m)
+            elif len(data) == 1201 * 1201 * 2:
+                size = 1201  # SRTM3 (90m)
+            else:
+                print(f"[Terrain] Unknown tile size: {len(data)} bytes for {tile_name}")
+                return None
+
+            tile = np.frombuffer(data, dtype='>i2').reshape((size, size))
+
+            # Manage memory cache with LRU eviction
+            if len(self._tile_cache) >= self._max_cache_tiles:
+                oldest = next(iter(self._tile_cache))
+                del self._tile_cache[oldest]
+
+            self._tile_cache[tile_name] = tile
+            return tile
+
+        except Exception as e:
+            print(f"[Terrain] Failed to load {tile_name}: {e}")
+            return None
+
+    async def load_tile(self, tile_name: str) -> Optional[np.ndarray]:
+        """Load tile into memory, downloading if needed"""
+        # Check memory cache
+        if tile_name in self._tile_cache:
+            return self._tile_cache[tile_name]
+
+        # Download if missing
+        if not self.get_tile_path(tile_name).exists():
             success = await self.download_tile(tile_name)
             if not success:
                 return None
 
-        # Read HGT file (big-endian signed 16-bit integers)
+        return self._load_tile(tile_name)
-        try:
-            async with aiofiles.open(tile_path, 'rb') as f:
-                data = await f.read()
-
-            # Parse as numpy array
-            arr = np.frombuffer(data, dtype='>i2').reshape(self.TILE_SIZE, self.TILE_SIZE)
-
-            # Manage cache size
-            if len(self._tile_cache) >= self._max_cached_tiles:
-                # Remove oldest entry
-                oldest = next(iter(self._tile_cache))
-                del self._tile_cache[oldest]
-
-            self._tile_cache[tile_name] = arr
-            return arr
-
-        except Exception as e:
-            print(f"Error loading tile {tile_name}: {e}")
-            return None
 
     async def get_elevation(self, lat: float, lon: float) -> float:
         """Get elevation at specific coordinate (meters above sea level)"""
@@ -116,7 +142,9 @@ class TerrainService:
         tile = await self.load_tile(tile_name)
 
         if tile is None:
-            return 0.0  # No data, assume sea level
+            return 0.0
+
+        size = tile.shape[0]
 
         # Calculate position within tile
         lat_int = int(lat) if lat >= 0 else int(lat) - 1
@@ -125,13 +153,12 @@ class TerrainService:
         lat_frac = lat - lat_int
         lon_frac = lon - lon_int
 
-        # Row 0 = north edge, row 3600 = south edge
+        # Row 0 = north edge, last row = south edge
-        row = int((1 - lat_frac) * (self.TILE_SIZE - 1))
+        row = int((1 - lat_frac) * (size - 1))
-        col = int(lon_frac * (self.TILE_SIZE - 1))
+        col = int(lon_frac * (size - 1))
 
-        # Clamp to valid range
+        row = max(0, min(row, size - 1))
-        row = max(0, min(row, self.TILE_SIZE - 1))
+        col = max(0, min(col, size - 1))
-        col = max(0, min(col, self.TILE_SIZE - 1))
 
         elevation = tile[row, col]
 
@@ -147,15 +174,10 @@ class TerrainService:
         lat2: float, lon2: float,
         num_points: int = 100
     ) -> List[dict]:
-        """
+        """Get elevation profile between two points"""
-        Get elevation profile between two points
-
-        Returns list of {lat, lon, elevation, distance} dicts
-        """
         lats = np.linspace(lat1, lat2, num_points)
         lons = np.linspace(lon1, lon2, num_points)
 
-        # Calculate cumulative distances
         total_distance = self.haversine_distance(lat1, lon1, lat2, lon2)
         distances = np.linspace(0, total_distance, num_points)
 
@@ -171,10 +193,46 @@ class TerrainService:
 
         return profile
 
+    async def ensure_tiles_for_bbox(
+        self,
+        min_lat: float, min_lon: float,
+        max_lat: float, max_lon: float
+    ) -> list[str]:
+        """Pre-download all tiles needed for a bounding box"""
+        tiles_needed = []
+
+        for lat in range(int(min_lat), int(max_lat) + 1):
+            for lon in range(int(min_lon), int(max_lon) + 1):
+                tile_name = self.get_tile_name(lat, lon)
+                tiles_needed.append(tile_name)
+
+        # Download in parallel (batches of 5 to avoid overload)
+        downloaded = []
+        batch_size = 5
+        for i in range(0, len(tiles_needed), batch_size):
+            batch = tiles_needed[i:i + batch_size]
+            results = await asyncio.gather(*[
+                self.download_tile(tile) for tile in batch
+            ])
+            for tile, ok in zip(batch, results):
+                if ok:
+                    downloaded.append(tile)
+
+        return downloaded
+
+    def get_cached_tiles(self) -> list[str]:
+        """List all locally cached tile names"""
+        return [f.stem for f in self.terrain_path.glob("*.hgt")]
+
+    def get_cache_size_mb(self) -> float:
+        """Get total terrain cache size in MB"""
+        total = sum(f.stat().st_size for f in self.terrain_path.glob("*.hgt"))
+        return total / (1024 * 1024)
+
     @staticmethod
     def haversine_distance(lat1: float, lon1: float, lat2: float, lon2: float) -> float:
         """Calculate distance between two points in meters"""
-        EARTH_RADIUS = 6371000  # meters
+        EARTH_RADIUS = 6371000
 
         lat1, lon1, lat2, lon2 = map(np.radians, [lat1, lon1, lat2, lon2])
 

backend/app/services/vegetation_service.py

@@ -5,11 +5,13 @@ Forests and dense vegetation attenuate RF signals significantly.
 Uses ITU-R P.833 approximations for foliage loss.
 """
 
+import os
 import httpx
+import json
 from typing import List, Tuple, Optional
 from pydantic import BaseModel
-import json
 from pathlib import Path
+from datetime import datetime, timedelta
 
 
 class VegetationArea(BaseModel):
@@ -20,6 +22,62 @@ class VegetationArea(BaseModel):
     density: str  # dense, sparse, mixed
 
 
+class VegetationCache:
+    """Local cache for vegetation data with expiry"""
+
+    CACHE_EXPIRY_DAYS = 30
+
+    def __init__(self):
+        self.data_path = Path(os.environ.get('RFCP_DATA_PATH', './data'))
+        self.cache_path = self.data_path / 'osm' / 'vegetation'
+        self.cache_path.mkdir(parents=True, exist_ok=True)
+
+    def _get_cache_key(self, min_lat: float, min_lon: float, max_lat: float, max_lon: float) -> str:
+        return f"{min_lat:.2f}_{min_lon:.2f}_{max_lat:.2f}_{max_lon:.2f}"
+
+    def _get_cache_file(self, cache_key: str) -> Path:
+        return self.cache_path / f"{cache_key}.json"
+
+    def get(self, min_lat: float, min_lon: float, max_lat: float, max_lon: float) -> Optional[list]:
+        cache_key = self._get_cache_key(min_lat, min_lon, max_lat, max_lon)
+        cache_file = self._get_cache_file(cache_key)
+
+        if not cache_file.exists():
+            return None
+
+        try:
+            data = json.loads(cache_file.read_text())
+            cached_at = datetime.fromisoformat(data.get('_cached_at', '2000-01-01'))
+            if datetime.now() - cached_at > timedelta(days=self.CACHE_EXPIRY_DAYS):
+                return None
+            return data.get('data')
+        except Exception as e:
+            print(f"[VegetationCache] Failed to read cache: {e}")
+            return None
+
+    def set(self, min_lat: float, min_lon: float, max_lat: float, max_lon: float, data):
+        cache_key = self._get_cache_key(min_lat, min_lon, max_lat, max_lon)
+        cache_file = self._get_cache_file(cache_key)
+
+        try:
+            cache_data = {
+                '_cached_at': datetime.now().isoformat(),
+                '_bbox': [min_lat, min_lon, max_lat, max_lon],
+                'data': data
+            }
+            cache_file.write_text(json.dumps(cache_data))
+        except Exception as e:
+            print(f"[VegetationCache] Failed to write cache: {e}")
+
+    def clear(self):
+        for f in self.cache_path.glob("*.json"):
+            f.unlink()
+
+    def get_size_mb(self) -> float:
+        total = sum(f.stat().st_size for f in self.cache_path.glob("*.json"))
+        return total / (1024 * 1024)
+
+
 class VegetationService:
     """OSM vegetation for signal attenuation"""
 
@@ -44,33 +102,33 @@ class VegetationService:
         "autumn": 0.7,
     }
 
-    def __init__(self, cache_dir: str = "/opt/rfcp/backend/data/vegetation"):
+    def __init__(self):
-        self.cache_dir = Path(cache_dir)
+        self.cache = VegetationCache()
-        self.cache_dir.mkdir(exist_ok=True, parents=True)
+        self._memory_cache: dict[str, List[VegetationArea]] = {}
-        self._cache: dict[str, List[VegetationArea]] = {}
 
     async def fetch_vegetation(
         self,
         min_lat: float, min_lon: float,
         max_lat: float, max_lon: float
     ) -> List[VegetationArea]:
-        """Fetch vegetation areas in bounding box"""
+        """Fetch vegetation areas in bounding box, using cache if available"""
 
         cache_key = f"{min_lat:.2f}_{min_lon:.2f}_{max_lat:.2f}_{max_lon:.2f}"
 
-        if cache_key in self._cache:
+        # Memory cache
-            return self._cache[cache_key]
+        if cache_key in self._memory_cache:
+            return self._memory_cache[cache_key]
 
-        cache_file = self.cache_dir / f"{cache_key}.json"
+        # Disk cache with expiry
-        if cache_file.exists():
+        cached = self.cache.get(min_lat, min_lon, max_lat, max_lon)
-            try:
+        if cached is not None:
-                with open(cache_file) as f:
+            print(f"[Vegetation] Cache hit for bbox")
-                    data = json.load(f)
+            areas = [VegetationArea(**v) for v in cached]
-                    areas = [VegetationArea(**v) for v in data]
+            self._memory_cache[cache_key] = areas
-                    self._cache[cache_key] = areas
             return areas
-            except Exception:
+
-                pass
+        # Fetch from Overpass
+        print(f"[Vegetation] Fetching from Overpass API...")
 
         query = f"""
         [out:json][timeout:30];
@@ -91,17 +149,17 @@ class VegetationService:
                 response.raise_for_status()
                 data = response.json()
         except Exception as e:
-            print(f"Vegetation fetch error: {e}")
+            print(f"[Vegetation] Fetch error: {e}")
             return []
 
         areas = self._parse_response(data)
 
-        # Cache
+        # Save to disk cache
         if areas:
-            with open(cache_file, 'w') as f:
+            self.cache.set(min_lat, min_lon, max_lat, max_lon,
-                json.dump([v.model_dump() for v in areas], f)
+                           [v.model_dump() for v in areas])
-        self._cache[cache_key] = areas
 
+        self._memory_cache[cache_key] = areas
         return areas
 
     def _parse_response(self, data: dict) -> List[VegetationArea]:
@@ -128,7 +186,6 @@ class VegetationService:
             if len(geometry) < 3:
                 continue
 
-            # Determine density from leaf_type tag
             leaf_type = tags.get("leaf_type", "mixed")
             density = "dense" if leaf_type == "needleleaved" else "mixed"
 
@@ -151,7 +208,7 @@ class VegetationService:
         """
         Calculate signal loss through vegetation along path.
 
-        Samples points along the TX→RX path and accumulates
+        Samples points along the TX->RX path and accumulates
         attenuation for each segment inside vegetation.
 
         Returns loss in dB (capped at 40 dB).
@@ -163,7 +220,6 @@ class VegetationService:
         if path_length < 1:
             return 0.0
 
-        # Sample points along path — every ~50m
         num_samples = max(10, int(path_length / 50))
 
         segment_length = path_length / num_samples
@@ -174,7 +230,6 @@ class VegetationService:
             lat = lat1 + t * (lat2 - lat1)
             lon = lon1 + t * (lon2 - lon1)
 
-            # Check if sample point is inside any vegetation area
             veg = self._point_in_vegetation(lat, lon, vegetation_areas)
 
             if veg:
@@ -182,7 +237,7 @@ class VegetationService:
                 seasonal = self.SEASONAL_FACTOR.get(season, 1.0)
                 total_loss += (segment_length / 100) * attenuation * seasonal
 
-        return min(total_loss, 40.0)  # Cap at 40 dB
+        return min(total_loss, 40.0)
 
     def _point_in_vegetation(
         self,
@@ -199,7 +254,7 @@ class VegetationService:
     def _point_in_polygon(
         lat: float, lon: float, polygon: List[Tuple[float, float]]
     ) -> bool:
-        """Ray casting algorithm — polygon coords are (lon, lat)"""
+        """Ray casting algorithm -- polygon coords are (lon, lat)"""
         n = len(polygon)
         inside = False
 

backend/app/services/water_service.py

@@ -5,11 +5,13 @@ Water surfaces produce strong specular reflections that can boost
 or create multipath interference for RF signals.
 """
 
+import os
 import httpx
+import json
 from typing import List, Tuple, Optional
 from pydantic import BaseModel
-import json
 from pathlib import Path
+from datetime import datetime, timedelta
 
 
 class WaterBody(BaseModel):
@@ -20,6 +22,62 @@ class WaterBody(BaseModel):
     name: Optional[str] = None
 
 
+class WaterCache:
+    """Local cache for water body data with expiry"""
+
+    CACHE_EXPIRY_DAYS = 30
+
+    def __init__(self):
+        self.data_path = Path(os.environ.get('RFCP_DATA_PATH', './data'))
+        self.cache_path = self.data_path / 'osm' / 'water'
+        self.cache_path.mkdir(parents=True, exist_ok=True)
+
+    def _get_cache_key(self, min_lat: float, min_lon: float, max_lat: float, max_lon: float) -> str:
+        return f"{min_lat:.2f}_{min_lon:.2f}_{max_lat:.2f}_{max_lon:.2f}"
+
+    def _get_cache_file(self, cache_key: str) -> Path:
+        return self.cache_path / f"{cache_key}.json"
+
+    def get(self, min_lat: float, min_lon: float, max_lat: float, max_lon: float) -> Optional[list]:
+        cache_key = self._get_cache_key(min_lat, min_lon, max_lat, max_lon)
+        cache_file = self._get_cache_file(cache_key)
+
+        if not cache_file.exists():
+            return None
+
+        try:
+            data = json.loads(cache_file.read_text())
+            cached_at = datetime.fromisoformat(data.get('_cached_at', '2000-01-01'))
+            if datetime.now() - cached_at > timedelta(days=self.CACHE_EXPIRY_DAYS):
+                return None
+            return data.get('data')
+        except Exception as e:
+            print(f"[WaterCache] Failed to read cache: {e}")
+            return None
+
+    def set(self, min_lat: float, min_lon: float, max_lat: float, max_lon: float, data):
+        cache_key = self._get_cache_key(min_lat, min_lon, max_lat, max_lon)
+        cache_file = self._get_cache_file(cache_key)
+
+        try:
+            cache_data = {
+                '_cached_at': datetime.now().isoformat(),
+                '_bbox': [min_lat, min_lon, max_lat, max_lon],
+                'data': data
+            }
+            cache_file.write_text(json.dumps(cache_data))
+        except Exception as e:
+            print(f"[WaterCache] Failed to write cache: {e}")
+
+    def clear(self):
+        for f in self.cache_path.glob("*.json"):
+            f.unlink()
+
+    def get_size_mb(self) -> float:
+        total = sum(f.stat().st_size for f in self.cache_path.glob("*.json"))
+        return total / (1024 * 1024)
+
+
 class WaterService:
     """OSM water bodies for reflection calculations"""
 
@@ -34,33 +92,33 @@ class WaterService:
         "water": 0.7,
     }
 
-    def __init__(self, cache_dir: str = "/opt/rfcp/backend/data/water"):
+    def __init__(self):
-        self.cache_dir = Path(cache_dir)
+        self.cache = WaterCache()
-        self.cache_dir.mkdir(exist_ok=True, parents=True)
+        self._memory_cache: dict[str, List[WaterBody]] = {}
-        self._cache: dict[str, List[WaterBody]] = {}
 
     async def fetch_water_bodies(
         self,
         min_lat: float, min_lon: float,
         max_lat: float, max_lon: float
     ) -> List[WaterBody]:
-        """Fetch water bodies in bounding box"""
+        """Fetch water bodies in bounding box, using cache if available"""
 
         cache_key = f"{min_lat:.2f}_{min_lon:.2f}_{max_lat:.2f}_{max_lon:.2f}"
 
-        if cache_key in self._cache:
+        # Memory cache
-            return self._cache[cache_key]
+        if cache_key in self._memory_cache:
+            return self._memory_cache[cache_key]
 
-        cache_file = self.cache_dir / f"{cache_key}.json"
+        # Disk cache with expiry
-        if cache_file.exists():
+        cached = self.cache.get(min_lat, min_lon, max_lat, max_lon)
-            try:
+        if cached is not None:
-                with open(cache_file) as f:
+            print(f"[Water] Cache hit for bbox")
-                    data = json.load(f)
+            bodies = [WaterBody(**w) for w in cached]
-                    bodies = [WaterBody(**w) for w in data]
+            self._memory_cache[cache_key] = bodies
-                    self._cache[cache_key] = bodies
             return bodies
-            except Exception:
+
-                pass
+        # Fetch from Overpass
+        print(f"[Water] Fetching from Overpass API...")
 
         query = f"""
         [out:json][timeout:30];
@@ -80,17 +138,17 @@ class WaterService:
                 response.raise_for_status()
                 data = response.json()
         except Exception as e:
-            print(f"Water fetch error: {e}")
+            print(f"[Water] Fetch error: {e}")
             return []
 
         bodies = self._parse_response(data)
 
-        # Cache
+        # Save to disk cache
         if bodies:
-            with open(cache_file, 'w') as f:
+            self.cache.set(min_lat, min_lon, max_lat, max_lon,
-                json.dump([w.model_dump() for w in bodies], f)
+                           [w.model_dump() for w in bodies])
-        self._cache[cache_key] = bodies
 
+        self._memory_cache[cache_key] = bodies
         return bodies
 
     def _parse_response(self, data: dict) -> List[WaterBody]:
@@ -106,8 +164,6 @@ class WaterService:
                 continue
 
             tags = element.get("tags", {})
-
-            # Determine water type
             water_type = tags.get("water", tags.get("waterway", tags.get("natural", "water")))
 
             geometry = []
@@ -144,7 +200,7 @@ class WaterService:
     def _point_in_polygon(
         lat: float, lon: float, polygon: List[Tuple[float, float]]
     ) -> bool:
-        """Ray casting algorithm — polygon coords are (lon, lat)"""
+        """Ray casting algorithm -- polygon coords are (lon, lat)"""
         n = len(polygon)
         inside = False
 

frontend/src/App.tsx

@@ -27,6 +27,8 @@ import ThemeToggle from '@/components/ui/ThemeToggle.tsx';
 import Button from '@/components/ui/Button.tsx';
 import NumberInput from '@/components/ui/NumberInput.tsx';
 import ConfirmDialog from '@/components/ui/ConfirmDialog.tsx';
+import { RegionWizard } from '@/components/RegionWizard.tsx';
+import { isDesktop } from '@/lib/desktop.ts';
 
 /**
  * Restore a sites snapshot: replace all sites in IndexedDB + Zustand.
@@ -117,6 +119,26 @@ export default function App() {
   const [showShortcuts, setShowShortcuts] = useState(false);
   const [kbDeleteTarget, setKbDeleteTarget] = useState<{ id: string; name: string } | null>(null);
 
+  // Region wizard for first-run (desktop mode only)
+  const [showWizard, setShowWizard] = useState(false);
+
+  useEffect(() => {
+    if (!isDesktop()) return;
+    const skipped = localStorage.getItem('rfcp_region_wizard_skipped');
+    if (skipped) return;
+
+    api.getRegions()
+      .then((regions) => {
+        const hasDownloaded = regions.some((r) => r.downloaded);
+        if (!hasDownloaded) {
+          setShowWizard(true);
+        }
+      })
+      .catch(() => {
+        // Backend not ready yet, skip wizard
+      });
+  }, []);
+
   // Resizable sidebar
   const PANEL_MIN = 300;
   const PANEL_MAX = 600;
@@ -1084,6 +1106,11 @@ export default function App() {
       )}
 
       <ToastContainer />
+
+      {/* First-run region download wizard (desktop only) */}
+      {showWizard && (
+        <RegionWizard onComplete={() => setShowWizard(false)} />
+      )}
     </div>
   );
 }

frontend/src/components/RegionWizard.tsx

@@ -0,0 +1,165 @@
+import { useState, useEffect, useRef } from 'react';
+import { api } from '@/services/api.ts';
+import type { RegionInfo, DownloadProgress } from '@/services/api.ts';
+
+export function RegionWizard({ onComplete }: { onComplete: () => void }) {
+  const [regions, setRegions] = useState<RegionInfo[]>([]);
+  const [selectedRegion, setSelectedRegion] = useState<string | null>(null);
+  const [downloading, setDownloading] = useState(false);
+  const [progress, setProgress] = useState<DownloadProgress | null>(null);
+  const [error, setError] = useState<string | null>(null);
+  const pollRef = useRef<ReturnType<typeof setInterval> | null>(null);
+
+  useEffect(() => {
+    api.getRegions()
+      .then(setRegions)
+      .catch((err) => {
+        console.error('Failed to load regions:', err);
+        setError('Failed to connect to backend');
+      });
+
+    return () => {
+      if (pollRef.current) clearInterval(pollRef.current);
+    };
+  }, []);
+
+  const startDownload = async () => {
+    if (!selectedRegion) return;
+
+    setDownloading(true);
+    setError(null);
+
+    try {
+      const { task_id } = await api.downloadRegion(selectedRegion);
+
+      pollRef.current = setInterval(async () => {
+        try {
+          const prog = await api.getDownloadProgress(task_id);
+          setProgress(prog);
+
+          if (prog.status === 'done') {
+            if (pollRef.current) clearInterval(pollRef.current);
+            setDownloading(false);
+            // Brief delay so user sees "Complete!" before closing
+            setTimeout(() => onComplete(), 1000);
+          } else if (prog.status === 'error') {
+            if (pollRef.current) clearInterval(pollRef.current);
+            setDownloading(false);
+            setError(prog.error || 'Download failed');
+          }
+        } catch {
+          // Polling error, keep trying
+        }
+      }, 1000);
+    } catch (err) {
+      setDownloading(false);
+      setError(err instanceof Error ? err.message : 'Download failed');
+    }
+  };
+
+  const skipDownload = () => {
+    localStorage.setItem('rfcp_region_wizard_skipped', 'true');
+    onComplete();
+  };
+
+  return (
+    <div className="fixed inset-0 z-[9999] bg-black/90 flex items-center justify-center">
+      <div className="bg-slate-900 rounded-xl p-8 max-w-lg w-[90%] text-white shadow-2xl border border-slate-700">
+        <h1 className="text-3xl font-bold bg-gradient-to-r from-cyan-400 to-emerald-400 bg-clip-text text-transparent">
+          Welcome to RFCP
+        </h1>
+        <h2 className="text-sm text-slate-400 mt-1 mb-5">
+          RF Coverage Planner
+        </h2>
+
+        <p className="text-sm text-slate-300 mb-5">
+          Select a region to download for offline use.
+          This includes terrain elevation and building data.
+        </p>
+
+        {error && (
+          <div className="mb-4 p-3 bg-red-900/30 border border-red-700 rounded-lg text-sm text-red-300">
+            {error}
+          </div>
+        )}
+
+        {!downloading ? (
+          <>
+            {/* Region list */}
+            <div className="space-y-2 mb-6">
+              {regions.map((region) => (
+                <button
+                  key={region.id}
+                  onClick={() => setSelectedRegion(region.id)}
+                  className={`w-full flex items-center gap-3 p-3.5 rounded-lg border-2 transition-all text-left ${
+                    selectedRegion === region.id
+                      ? 'border-cyan-400 bg-slate-800'
+                      : 'border-transparent bg-slate-800/50 hover:bg-slate-800'
+                  } ${region.downloaded ? 'opacity-60' : ''}`}
+                >
+                  <div className="flex-1">
+                    <div className="font-medium text-sm">{region.name}</div>
+                    {region.download_progress > 0 && region.download_progress < 100 && (
+                      <div className="text-xs text-slate-400 mt-0.5">
+                        {region.download_progress.toFixed(0)}% cached
+                      </div>
+                    )}
+                  </div>
+                  <div className="text-xs text-slate-400">
+                    ~{region.estimated_size_gb} GB
+                  </div>
+                  {region.downloaded && (
+                    <span className="text-xs bg-emerald-500 text-black px-2 py-0.5 rounded font-medium">
+                      Downloaded
+                    </span>
+                  )}
+                </button>
+              ))}
+
+              {regions.length === 0 && !error && (
+                <div className="text-center py-6 text-slate-400 text-sm">
+                  Loading regions...
+                </div>
+              )}
+            </div>
+
+            {/* Actions */}
+            <div className="flex gap-3">
+              <button
+                onClick={startDownload}
+                disabled={!selectedRegion}
+                className="flex-1 py-2.5 px-4 rounded-lg font-semibold text-sm text-black bg-gradient-to-r from-cyan-400 to-emerald-400 hover:from-cyan-300 hover:to-emerald-300 disabled:opacity-40 disabled:cursor-not-allowed transition-all"
+              >
+                Download Selected Region
+              </button>
+              <button
+                onClick={skipDownload}
+                className="py-2.5 px-4 rounded-lg text-sm text-slate-400 border border-slate-600 hover:border-slate-400 hover:text-slate-200 transition-all"
+              >
+                Skip (Online Mode)
+              </button>
+            </div>
+          </>
+        ) : (
+          /* Download progress */
+          <div className="mt-2">
+            <div className="h-2 bg-slate-700 rounded-full overflow-hidden">
+              <div
+                className="h-full bg-gradient-to-r from-cyan-400 to-emerald-400 transition-all duration-300"
+                style={{ width: `${progress?.progress || 0}%` }}
+              />
+            </div>
+            <div className="mt-3 text-center text-sm text-slate-400">
+              {progress?.current_step || 'Starting...'}
+            </div>
+            <div className="mt-1 text-center text-xs text-slate-500">
+              {(progress?.downloaded_mb || 0).toFixed(1)} MB downloaded
+              {' '}&middot;{' '}
+              {(progress?.progress || 0).toFixed(0)}%
+            </div>
+          </div>
+        )}
+      </div>
+    </div>
+  );
+}

frontend/src/services/api.ts

@@ -147,6 +147,64 @@ class ApiService {
     const data = await response.json();
     return data.elevation;
   }
+
+  // === Region / Caching API ===
+
+  async getRegions(): Promise<RegionInfo[]> {
+    const response = await fetch(`${API_BASE}/api/regions/available`);
+    if (!response.ok) throw new Error('Failed to fetch regions');
+    return response.json();
+  }
+
+  async downloadRegion(regionId: string): Promise<{ task_id: string; status: string }> {
+    const response = await fetch(`${API_BASE}/api/regions/download/${regionId}`, {
+      method: 'POST',
+    });
+    if (!response.ok) throw new Error('Failed to start download');
+    return response.json();
+  }
+
+  async getDownloadProgress(taskId: string): Promise<DownloadProgress> {
+    const response = await fetch(`${API_BASE}/api/regions/download/${taskId}/progress`);
+    if (!response.ok) throw new Error('Failed to get progress');
+    return response.json();
+  }
+
+  async getCacheStats(): Promise<CacheStats> {
+    const response = await fetch(`${API_BASE}/api/regions/cache/stats`);
+    if (!response.ok) throw new Error('Failed to get cache stats');
+    return response.json();
+  }
+}
+
+// === Region types ===
+
+export interface RegionInfo {
+  id: string;
+  name: string;
+  bbox: number[];
+  srtm_tiles: number;
+  estimated_size_gb: number;
+  downloaded: boolean;
+  download_progress: number;
+}
+
+export interface DownloadProgress {
+  task_id: string;
+  region_id: string;
+  status: string;
+  progress: number;
+  current_step: string;
+  downloaded_mb: number;
+  error?: string;
+}
+
+export interface CacheStats {
+  terrain_mb: number;
+  terrain_tiles: number;
+  buildings_mb: number;
+  water_mb: number;
+  vegetation_mb: number;
 }
 
 export const api = new ApiService();