"""IGN (French National Geographic Institute) tile download and overlay generation. Downloads WMTS tiles from the IGN Geoportail and composites them into GeoTIFF overlays matching the LiDAR DTM extent. """ import logging import math import time from pathlib import Path import numpy as np import rasterio try: from rasterio.warp import transform as warp_transform HAS_WARP = True except ImportError: HAS_WARP = False logger = logging.getLogger("lidar") def _optimal_zoom_level(resolution, lat, layer): """Compute optimal WMTS zoom level for a given ground resolution. Chooses the zoom level where the WMTS ground resolution is at least as fine as the requested resolution, capped to avoid downloading too many tiles. Args: resolution: Desired ground resolution in m/px (DTM resolution). lat: Latitude in degrees (for Web Mercator resolution calculation). layer: IGN WMTS layer name (different max zoom per layer). Returns: Integer zoom level. """ # Web Mercator ground resolution: m/px = (2π * R * cos(lat)) / (256 * 2^z) # Solve for z: z = log2(2π * R * cos(lat) / (256 * resolution)) R = 6378137.0 # WGS84 equatorial radius lat_rad = math.radians(lat) numerator = 2 * math.pi * R * math.cos(lat_rad) z_exact = math.log2(numerator / (256 * resolution)) zoom = max(15, min(20, int(math.ceil(z_exact)))) # Cap zoom per layer: orthophoto supports up to 20, topographic map up to 19 if 'ORTHO' in layer: zoom = min(zoom, 20) elif 'PLAN' in layer: zoom = min(zoom, 19) logger.debug(f" Zoom WMTS: {zoom} (résolution cible: {resolution}m/px)") return zoom def _lat_lon_to_tile(lat, lon, zoom): """Convert lat/lon to Web Mercator tile coordinates.""" n = 2 ** zoom col = int((lon + 180) / 360 * n) lat_rad = math.radians(lat) row = int((1 - math.log(math.tan(lat_rad) + 1 / math.cos(lat_rad)) / math.pi) / 2 * n) return col, row def _lat_lon_to_px(lat, lon, zoom, tile_size=256): """Convert lat/lon to Web Mercator pixel coordinates.""" n = 2 ** zoom px_x = (lon + 180) / 360 * n * tile_size lat_rad = math.radians(lat) px_y = (1 - math.log(math.tan(lat_rad) + 1 / math.cos(lat_rad)) / math.pi) / 2 * n * tile_size return px_x, px_y def download_ign_tiles(min_x, max_x, min_y, max_y, layer, zoom_level=15): """Download IGN WMTS tiles for the given bounds using Web Mercator (PM). If the first tile returns 404, automatically retries at lower zoom levels. Args: min_x, max_x, min_y, max_y: Bounds in Lambert 93. layer: IGN WMTS layer name. zoom_level: WMTS zoom level (default 15). Returns: numpy array (H, W, 3) uint8, or None on failure. """ import urllib.request import io from PIL import Image as PILImage if not HAS_WARP: logger.error(" ✗ rasterio.warp non disponible pour conversion de coordonnées") return None try: l93_xs = [min_x, max_x] l93_ys = [max_y, min_y] lons, lats = warp_transform('EPSG:2154', 'EPSG:4326', l93_xs, l93_ys) nw_lat, nw_lon = lats[0], lons[0] se_lat, se_lon = lats[1], lons[1] except Exception: logger.error(" ✗ Impossible de convertir les coordonnées") return None wmts_url = "https://data.geopf.fr/wmts" tile_matrix_set = "PM" tile_size = 256 # Try downloading at the requested zoom level; fall back to lower zooms on 404 min_zoom = 15 for zoom in range(zoom_level, min_zoom - 1, -1): col_min, row_min = _lat_lon_to_tile(nw_lat, nw_lon, zoom) col_max, row_max = _lat_lon_to_tile(se_lat, se_lon, zoom) nw_px_x, nw_px_y = _lat_lon_to_px(nw_lat, nw_lon, zoom) se_px_x, se_px_y = _lat_lon_to_px(se_lat, se_lon, zoom) out_width = int(se_px_x - nw_px_x) out_height = int(se_px_y - nw_px_y) if out_width <= 0 or out_height <= 0 or out_width > 10000 or out_height > 10000: logger.warning(f" Image IGN trop grande: {out_width}x{out_height}px — zoom {zoom} abandon") continue total_tiles = (col_max - col_min + 1) * (row_max - row_min + 1) if zoom < zoom_level: logger.info(f" ↓ Retry zoom {zoom_level}→{zoom}: {total_tiles} tuiles ({out_width}x{out_height}px)") else: logger.info(f" Zoom {zoom}: {total_tiles} tuiles à télécharger ({out_width}x{out_height}px)") composite = np.full((out_height, out_width, 3), 255, dtype=np.uint8) tiles_downloaded = 0 tiles_404 = 0 fmt = "image/png" if 'PLAN' in layer else "image/jpeg" for col in range(col_min, col_max + 1): for row in range(row_min, row_max + 1): url = ( f"{wmts_url}?SERVICE=WMTS&VERSION=1.0.0&REQUEST=GetTile" f"&LAYER={layer}&STYLE=normal" f"&TILEMATRIXSET={tile_matrix_set}" f"&TILEMATRIX={zoom}&TILECOL={col}&TILEROW={row}" f"&FORMAT={fmt}" ) try: req = urllib.request.Request(url, headers={'User-Agent': 'Mozilla/5.0'}) with urllib.request.urlopen(req, timeout=10) as response: tile_data = response.read() tile_img = PILImage.open(io.BytesIO(tile_data)).convert('RGB') tile_arr = np.array(tile_img) tile_origin_x = col * tile_size tile_origin_y = row * tile_size px_x = int(tile_origin_x - nw_px_x) px_y = int(tile_origin_y - nw_px_y) x_off = max(0, -px_x) y_off = max(0, -px_y) dst_x_start = max(0, px_x) dst_y_start = max(0, px_y) dst_x_end = min(out_width, px_x + tile_size) dst_y_end = min(out_height, px_y + tile_size) src_x = x_off src_y = y_off src_w = dst_x_end - dst_x_start src_h = dst_y_end - dst_y_start if src_w > 0 and src_h > 0 and tile_arr.shape[0] >= src_y + src_h and tile_arr.shape[1] >= src_x + src_w: composite[dst_y_start:dst_y_end, dst_x_start:dst_x_end] = \ tile_arr[src_y:src_y+src_h, src_x:src_x+src_w] tiles_downloaded += 1 except urllib.error.HTTPError as e: if e.code == 404: tiles_404 += 1 # If the very first tile is 404, this zoom level is unavailable if col == col_min and row == row_min: logger.info(f" Zoom {zoom} non disponible (404) — essai zoom inférieur") break continue except Exception: continue else: continue # Only reach here if inner loop broke (first tile 404) break if tiles_404 > 0 and tiles_downloaded == 0: # No tiles at this zoom, try lower continue logger.info(f" → {tiles_downloaded} tuiles IGN téléchargées ({layer})") if tiles_downloaded == 0: continue return composite logger.error(" ✗ Aucun zoom disponible pour cette zone") return None def generate_ign_overlay(dem_file, basename, vis_dir, resolution, layer, title, legend_label, description, out_suffix): """Generate an IGN basemap overlay visualization. Args: dem_file: Path to DTM GeoTIFF. basename: Base name for output file. vis_dir: Output directory for visualizations. resolution: Grid resolution in m/px. layer: IGN WMTS layer name. title: Title for the overlay. legend_label: Legend text. description: Description text. out_suffix: Suffix for output filename. Returns: Path to output GeoTIFF, or None on failure. """ logger.info(f" → {title}...") t0 = time.time() output = vis_dir / f"{basename}_{out_suffix}.tif" try: with rasterio.open(dem_file) as src: dem = src.read(1) transform = src.transform crs = src.crs height, width = dem.shape top_left_x = transform.c top_left_y = transform.f pixel_size_x = transform.a pixel_size_y = abs(transform.e) min_x = top_left_x max_x = top_left_x + width * pixel_size_x max_y = top_left_y min_y = top_left_y - height * pixel_size_y # Compute center latitude for zoom calculation center_lat = (max_y + min_y) / 2 center_lon = (min_x + max_x) / 2 try: clons, clats = warp_transform('EPSG:2154', 'EPSG:4326', [center_lon], [center_lat]) center_lat_wgs84 = clats[0] except Exception: center_lat_wgs84 = 46.0 # fallback: center of France zoom = _optimal_zoom_level(resolution, center_lat_wgs84, layer) result = download_ign_tiles(min_x, max_x, min_y, max_y, layer, zoom) if result is None: logger.error(" ✗ Impossible de télécharger les tuiles IGN") return None from PIL import Image as PILImage ign_pil = PILImage.fromarray(result) ign_resized = ign_pil.resize((width, height), PILImage.LANCZOS) ign_arr = np.array(ign_resized) with rasterio.open( output, 'w', driver='GTiff', height=height, width=width, count=3, dtype='uint8', crs=crs, transform=transform, ) as dst: for i in range(3): dst.write(ign_arr[:, :, i], i + 1) logger.info(f" ✓ {title} terminé ({time.time()-t0:.1f}s)") return output except Exception as e: logger.error(f" ✗ Erreur IGN overlay: {e}", exc_info=True) return None