lidar_rendu/lidar_pipeline/ign.py

"""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 _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).

    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

    col_min, row_min = _lat_lon_to_tile(nw_lat, nw_lon, zoom_level)
    col_max, row_max = _lat_lon_to_tile(se_lat, se_lon, zoom_level)

    nw_px_x, nw_px_y = _lat_lon_to_px(nw_lat, nw_lon, zoom_level)
    se_px_x, se_px_y = _lat_lon_to_px(se_lat, se_lon, zoom_level)

    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 > 5000 or out_height > 5000:
        return None

    composite = np.full((out_height, out_width, 3), 255, dtype=np.uint8)

    tiles_downloaded = 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_level}&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 Exception as e:
                if tiles_downloaded == 0 and col == col_min and row == row_min:
                    logger.error(f"    ✗ Erreur tuile IGN: {e}")
                continue

    logger.info(f"    → {tiles_downloaded} tuiles IGN téléchargées ({layer})")
    if tiles_downloaded == 0:
        return None
    return composite


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

        zoom = 15

        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