656 lines
26 KiB
Python
656 lines
26 KiB
Python
"""Tests pour la carte globale interactive (index.py)."""
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import json
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from pathlib import Path
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def test_parse_basename_coords_valid():
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"""Parse les coordonnées d'un basename LHD valide."""
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from lidar_pipeline.index import parse_basename_coords
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assert parse_basename_coords("LHD_FXX_1000_6881_PTS_LAMB93_IGN69") == (1000, 6881)
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assert parse_basename_coords("LHD_FXX_1049_6895_PTS_LAMB93_IGN69") == (1049, 6895)
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def test_parse_basename_coords_with_res_suffix():
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"""Les noms de dossier avec suffixe résolution sont aussi parsables."""
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from lidar_pipeline.index import parse_basename_coords
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assert parse_basename_coords("LHD_FXX_1000_6881_PTS_LAMB93_IGN69_r0p2") == (1000, 6881)
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def test_parse_basename_coords_invalid():
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"""Les noms non-LHD retournent None."""
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from lidar_pipeline.index import parse_basename_coords
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assert parse_basename_coords("random_dir") is None
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assert parse_basename_coords("DTM") is None
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assert parse_basename_coords("") is None
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def test_strip_res_suffix_primary():
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"""Dossier sans suffixe = résolution primaire (0.5)."""
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from lidar_pipeline.index import _strip_res_suffix
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base, res = _strip_res_suffix("LHD_FXX_1000_6881_PTS_LAMB93_IGN69")
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assert base == "LHD_FXX_1000_6881_PTS_LAMB93_IGN69"
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assert res == 0.5
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def test_strip_res_suffix_multi():
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"""Dossier avec suffixe _r0p2 = résolution 0.2."""
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from lidar_pipeline.index import _strip_res_suffix
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base, res = _strip_res_suffix("LHD_FXX_1000_6881_PTS_LAMB93_IGN69_r0p2")
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assert base == "LHD_FXX_1000_6881_PTS_LAMB93_IGN69"
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assert res == 0.2
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def test_compute_bbox():
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"""Calcule la bounding box d'un ensemble de tuiles."""
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from lidar_pipeline.index import compute_bbox
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tiles = [
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{'col': 1000, 'row': 6881},
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{'col': 1001, 'row': 6882},
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{'col': 1002, 'row': 6880},
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]
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bbox = compute_bbox(tiles)
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assert bbox == {'min_col': 1000, 'max_col': 1002, 'min_row': 6880, 'max_row': 6882}
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def test_compute_bbox_empty():
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"""Aucune tuile → None."""
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from lidar_pipeline.index import compute_bbox
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assert compute_bbox([]) is None
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def _make_fake_viz_dir(vis_dir, basename, col, row, viz_keys=('hillshade_multi', 'svf'), ext='webp', res_suffix=''):
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"""Crée un faux dossier de visualisations avec de petites images.
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Le suffixe de résolution apparaît seulement dans le nom du dossier (miroir
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du pipeline : les fichiers restent préfixés par le basename nu).
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"""
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from PIL import Image as PILImage
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import numpy as np
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dir_name = f"LHD_FXX_{col}_{row}_PTS_LAMB93_IGN69{res_suffix}"
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tile_dir = Path(vis_dir) / dir_name
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tile_dir.mkdir(parents=True, exist_ok=True)
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for v in viz_keys:
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arr = np.random.randint(0, 255, (50, 50, 3), dtype=np.uint8)
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img = PILImage.fromarray(arr)
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fname = f"LHD_FXX_{col}_{row}_PTS_LAMB93_IGN69_{v}.{ext}"
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img.save(str(tile_dir / fname), format='WEBP', quality=80)
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return tile_dir
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def test_scan_tiles(tmp_path):
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"""scan_tiles détecte les dossiers de tuiles et leurs visualisations."""
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from lidar_pipeline.index import scan_tiles
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vis_dir = tmp_path / "visualisations"
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vis_dir.mkdir()
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_make_fake_viz_dir(vis_dir, "a", 1000, 6881, ('hillshade_multi', 'svf'))
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_make_fake_viz_dir(vis_dir, "b", 1001, 6881, ('hillshade_multi',))
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tiles = scan_tiles(vis_dir)
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assert len(tiles) == 2
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names = sorted(t['dir_name'] for t in tiles)
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assert "LHD_FXX_1000_6881_PTS_LAMB93_IGN69" in names
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assert "LHD_FXX_1001_6881_PTS_LAMB93_IGN69" in names
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# Vérifie que les viz sont détectées
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t0 = next(t for t in tiles if t['col'] == 1000)
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assert 'hillshade_multi' in t0['viz']
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assert 'svf' in t0['viz']
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def test_scan_tiles_ignores_non_lhd(tmp_path):
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"""Les dossiers non-LHD (ex: temp, DTM) sont ignorés."""
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from lidar_pipeline.index import scan_tiles
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vis_dir = tmp_path / "visualisations"
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vis_dir.mkdir()
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(vis_dir / "random_folder").mkdir()
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_make_fake_viz_dir(vis_dir, "a", 1000, 6881)
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tiles = scan_tiles(vis_dir)
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assert len(tiles) == 1
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assert tiles[0]['col'] == 1000
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def test_scan_tiles_multi_resolution(tmp_path):
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"""Les dossiers avec suffixe résolution sont correctement décodés."""
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from lidar_pipeline.index import scan_tiles
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vis_dir = tmp_path / "visualisations"
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vis_dir.mkdir()
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_make_fake_viz_dir(vis_dir, "a", 1000, 6881, res_suffix='')
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_make_fake_viz_dir(vis_dir, "a", 1000, 6881, res_suffix='_r0p2')
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tiles = scan_tiles(vis_dir)
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assert len(tiles) == 2
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resolutions = sorted(t['resolution'] for t in tiles)
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assert resolutions == [0.2, 0.5]
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def test_res_suffix_str():
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"""Le suffixe de résolution reflète le nommage du pipeline (miroir)."""
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from lidar_pipeline.index import _res_suffix_str
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assert _res_suffix_str(0.5) == ''
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assert _res_suffix_str(0.2) == '_r0p2'
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def test_collect_tile_metadata(tmp_path):
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"""Les métadonnées lisent la méthode DTM et les dates/tailles des viz."""
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import os
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from datetime import datetime
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from lidar_pipeline.index import _collect_tile_metadata
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basename = "LHD_FXX_1000_6881_PTS_LAMB93_IGN69"
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tile_dir = tmp_path / "visualisations" / basename
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tile_dir.mkdir(parents=True)
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viz_file = tile_dir / f"{basename}_hillshade_multi.webp"
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viz_file.write_bytes(b"fake")
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dtm_dir = tmp_path / "DTM"
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dtm_dir.mkdir()
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method_file = dtm_dir / f"{basename}_dtm_method.txt"
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method_file.write_text("ign", encoding="utf-8")
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# Dates déterministes : method.txt plus ancien que la viz
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os.utime(method_file, (1600000000, 1600000000))
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os.utime(viz_file, (1700000000, 1700000000))
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fmt = lambda ts: datetime.fromtimestamp(ts).strftime('%Y-%m-%d %H:%M')
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tile = {
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'basename': basename, 'resolution': 0.5,
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'dir_path': str(tile_dir),
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'viz': {'hillshade_multi': {'filename': viz_file.name, 'ext': 'webp'}},
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}
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meta = _collect_tile_metadata(tile, dtm_dir)
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assert meta['method'] == 'ign'
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assert meta['generated'] == fmt(1600000000)
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assert meta['viz']['hillshade_multi']['size'] == 4
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assert meta['viz']['hillshade_multi']['date'] == fmt(1700000000)
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def test_collect_tile_metadata_resolution_suffix(tmp_path):
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"""Une tuile 0,2 m lit son sidecar _dtm_r0p2_method.txt dédié."""
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from lidar_pipeline.index import _collect_tile_metadata
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basename = "LHD_FXX_1000_6881_PTS_LAMB93_IGN69"
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tile_dir = tmp_path / "visualisations" / (basename + "_r0p2")
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tile_dir.mkdir(parents=True)
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dtm_dir = tmp_path / "DTM"
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dtm_dir.mkdir()
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(dtm_dir / f"{basename}_dtm_r0p2_method.txt").write_text("smrf", encoding="utf-8")
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tile = {'basename': basename, 'resolution': 0.2,
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'dir_path': str(tile_dir),
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'viz': {}}
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meta = _collect_tile_metadata(tile, dtm_dir)
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assert meta['method'] == 'smrf'
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# La date vient du sidecar (écrit juste après la création du DTM)
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assert meta['generated'] is not None
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assert meta['viz'] == {}
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def test_collect_tile_metadata_fallback_date(tmp_path):
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"""Sans sidecar DTM, la date de génération remonte au plus ancien fichier viz."""
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from lidar_pipeline.index import _collect_tile_metadata
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basename = "LHD_FXX_1000_6881_PTS_LAMB93_IGN69"
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tile_dir = tmp_path / "visualisations" / basename
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tile_dir.mkdir(parents=True)
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f = tile_dir / f"{basename}_svf.webp"
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f.write_bytes(b"x")
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tile = {'basename': basename, 'resolution': 0.5,
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'dir_path': str(tile_dir),
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'viz': {'svf': {'filename': f.name, 'ext': 'webp'}}}
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meta = _collect_tile_metadata(tile, tmp_path / "DTM")
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assert meta['method'] is None
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assert meta['generated'] is not None
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def test_build_index_generates_inventory(tmp_path):
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"""build_index génère l'inventaire index_tiles.json et les vignettes."""
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from lidar_pipeline.index import build_index
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output_dir = tmp_path / "output"
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vis_dir = output_dir / "visualisations"
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vis_dir.mkdir(parents=True)
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_make_fake_viz_dir(vis_dir, "a", 1000, 6881,
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('aspect', 'slope', 'positive_openness',
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'wavelet', 'hillshade_multi', 'svf'))
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_make_fake_viz_dir(vis_dir, "b", 1001, 6881, ('hillshade_multi',))
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result = build_index(output_dir)
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assert result is not None
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inv_path = Path(result)
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assert inv_path.exists()
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assert inv_path.name == "index_tiles.json"
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# L'ancienne interface HTML a été retirée : plus de coquille ni d'assets
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assert not (output_dir / "index.html").exists()
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assert not (output_dir / "assets").exists()
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# Inventaire servi par /api/tiles aux machines légères : tuiles avec coins,
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# libellés de couches, compteur.
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data = json.loads(inv_path.read_text(encoding='utf-8'))
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assert data['tiles'] and data['tiles'][0]['corners']
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assert 'aspect' in data['viz_meta']
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assert data['viz_meta']['aspect']['label']
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assert data['stats']['n_tiles'] == len(data['tiles'])
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# Vérifie les vignettes générées
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thumb_dir = output_dir / "index_thumbs"
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assert thumb_dir.is_dir()
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thumbs = list(thumb_dir.glob("*.jpg"))
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assert len(thumbs) >= 2 # au moins hillshade pour chaque tuile
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def test_mid_thumbnails_generated(tmp_path):
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"""Vignette intermédiaire 640 px générée et référencée dans l'index."""
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from lidar_pipeline.index import build_index
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output_dir = tmp_path / "output"
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vis_dir = output_dir / "visualisations"
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vis_dir.mkdir(parents=True)
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_make_fake_viz_dir(vis_dir, "a", 1000, 6881, ('hillshade_multi',))
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assert build_index(output_dir) is not None
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data = json.loads((output_dir / "index_tiles.json").read_text(encoding='utf-8'))
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viz = data['tiles'][0]['viz']['hillshade_multi']
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assert 'mid' in viz
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# L'URL porte un suffixe ?v= (invalidation cache) : chemin sans lui
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assert (output_dir / viz['mid'].split('?')[0]).exists()
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assert viz['mid'].split('?')[0].endswith("_mid.jpg")
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def test_subtiles_cover_all_layers(tmp_path):
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"""Toutes les couches d'une dalle 0,2 m sont sous-tuilées (plus de liste courte)."""
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from lidar_pipeline.index import _CARTO_SUBTILED_VIZ, build_index
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assert _CARTO_SUBTILED_VIZ == ()
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output_dir = tmp_path / "output"
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vis_dir = output_dir / "visualisations"
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vis_dir.mkdir(parents=True)
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_make_fake_viz_dir(vis_dir, "a", 1000, 6881,
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('hillshade_multi', 'svf', 'topo'), res_suffix='_r0p2')
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assert build_index(output_dir) is not None
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sub_dir = output_dir / "index_subtiles"
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for viz in ('hillshade_multi', 'svf', 'topo'):
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avif = sub_dir / f"LHD_FXX_1000_6881_PTS_LAMB93_IGN69_r0p2_{viz}_0_0.avif"
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assert avif.exists(), viz
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# L'index référence les sous-tuiles pour chaque couche, pas le repli dalle
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data = json.loads((output_dir / "index_tiles.json").read_text(encoding='utf-8'))
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subs = [t for t in data['tiles'] if t.get('sub_k') == 2]
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assert len(subs) == 4
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for t in subs:
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for viz in ('hillshade_multi', 'svf', 'topo'):
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assert t['viz'][viz]['full'].startswith("index_subtiles/"), viz
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def test_panel_restricted_to_kept_layers():
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"""Le panneau est restreint aux couches conservées (PANEL_VIZ) : la couche
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principale par défaut et la précision y figurent."""
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from lidar_pipeline.index import (PANEL_VIZ, DEFAULT_VIZ, PRECISION_VIZ, VIEW_MODES,
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DEFAULT_VIEW_MODE, KEYWORD_TO_STEP, default_main_layer)
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from lidar_pipeline.pipeline import VIZ_STEPS
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assert DEFAULT_VIZ in PANEL_VIZ and PRECISION_VIZ in PANEL_VIZ
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assert DEFAULT_VIEW_MODE in VIEW_MODES
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assert default_main_layer(["densite_sol", "aspect"]) == "aspect"
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assert default_main_layer(["densite_sol"]) is None
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# Chaque couche conservée correspond à une étape --only valide
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steps = {name for name, _ in VIZ_STEPS}
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for key in PANEL_VIZ:
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assert KEYWORD_TO_STEP.get(key, key) in steps
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def test_build_index_merges_cross_resolution_viz(tmp_path):
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"""Une couche produite seulement à 0,5 m reste visible sur la dalle 0,2 m.
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Le dernier run peut être interrompu entre les deux passes de résolution :
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la fusion inter-résolutions doit pointer vignettes et URLs vers le dossier
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d'origine de chaque fichier (dir_name), pas vers dir_path de la dalle
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affichée — sinon les vignettes échouent et la couche disparaît.
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"""
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from lidar_pipeline.index import build_index
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output_dir = tmp_path / "output"
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vis_dir = output_dir / "visualisations"
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vis_dir.mkdir(parents=True)
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base = "LHD_FXX_1000_6881_PTS_LAMB93_IGN69"
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# Passe 0,5 m : aspect + slope ; passe 0,2 m : aspect seulement
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_make_fake_viz_dir(vis_dir, base, 1000, 6881, ('aspect', 'slope'))
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_make_fake_viz_dir(vis_dir, base, 1000, 6881, ('aspect',), res_suffix='_r0p2')
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assert build_index(output_dir) is not None
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data = json.loads((output_dir / "index_tiles.json").read_text(encoding='utf-8'))
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# Une seule position affichée (résolution la plus fine), deux couches
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tiles = [t for t in data['tiles'] if (t['col'], t['row']) == (1000, 6881)]
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keys = set()
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for t in tiles:
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keys.update(t['viz'].keys())
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assert {'aspect', 'slope'} <= keys
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# Vignette slope générée + chaque thumb/full existe réellement sur disque
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assert (output_dir / "index_thumbs" / f"{base}_r0p2_slope.jpg").exists()
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for t in tiles:
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for v in t['viz'].values():
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assert (output_dir / v['thumb'].split('?')[0]).exists(), v['thumb']
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assert (output_dir / v['full'].split('?')[0]).exists(), v['full']
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def test_build_index_regenerates_stale_thumbnails(tmp_path):
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"""Une tuile recalculée (source plus récente) régénère sa vignette."""
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import os
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import time
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import numpy as np
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from PIL import Image as PILImage
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from lidar_pipeline.index import build_index
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output_dir = tmp_path / "output"
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vis_dir = output_dir / "visualisations"
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vis_dir.mkdir(parents=True)
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tile_dir = _make_fake_viz_dir(vis_dir, "a", 1000, 6881, ('hillshade_multi',))
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assert build_index(output_dir) is not None
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thumb_path = output_dir / "index_thumbs" / "LHD_FXX_1000_6881_PTS_LAMB93_IGN69_hillshade_multi.jpg"
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assert thumb_path.exists()
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m1 = thumb_path.stat().st_mtime
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# Recalcul de la tuile : source réécrite avec une mtime plus récente
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src = tile_dir / "LHD_FXX_1000_6881_PTS_LAMB93_IGN69_hillshade_multi.webp"
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arr = np.random.randint(0, 255, (50, 50, 3), dtype=np.uint8)
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PILImage.fromarray(arr).save(str(src), format='WEBP', quality=80)
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os.utime(src, (m1 + 5, m1 + 5))
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assert build_index(output_dir) is not None
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m2 = thumb_path.stat().st_mtime
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assert m2 > m1 # vignette régénérée
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# Source non modifiée depuis → pas de régénération inutile
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os.utime(src, (time.time() - 10, time.time() - 10))
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assert build_index(output_dir) is not None
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assert thumb_path.stat().st_mtime == m2
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def test_build_subtiles_regenerates_stale_crops(tmp_path):
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"""Une dalle 0,2 m recalculée régénère ses sous-tuiles (par visualisation)."""
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import os
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from lidar_pipeline.index import build_index
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output_dir = tmp_path / "output"
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vis_dir = output_dir / "visualisations"
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vis_dir.mkdir(parents=True)
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tile_dir = _make_fake_viz_dir(vis_dir, "a", 1000, 6881,
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('hillshade_multi', 'aspect'), res_suffix='_r0p2')
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assert build_index(output_dir) is not None
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sub_dir = output_dir / "index_subtiles"
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hill_avif = sub_dir / "LHD_FXX_1000_6881_PTS_LAMB93_IGN69_r0p2_hillshade_multi_0_0.avif"
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aspect_avif = sub_dir / "LHD_FXX_1000_6881_PTS_LAMB93_IGN69_r0p2_aspect_0_0.avif"
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assert hill_avif.exists() and aspect_avif.exists()
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hill_mid = sub_dir / "LHD_FXX_1000_6881_PTS_LAMB93_IGN69_r0p2_hillshade_multi_0_0_mid.webp"
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assert hill_mid.exists()
|
||
m_hill_1 = hill_avif.stat().st_mtime
|
||
m_aspect_1 = aspect_avif.stat().st_mtime
|
||
|
||
# Recalcul : seule la source hillshade est plus récente
|
||
src = tile_dir / "LHD_FXX_1000_6881_PTS_LAMB93_IGN69_hillshade_multi.webp"
|
||
os.utime(src, (m_hill_1 + 5, m_hill_1 + 5))
|
||
|
||
assert build_index(output_dir) is not None
|
||
assert hill_avif.stat().st_mtime > m_hill_1 # sous-tuiles hillshade régénérées
|
||
assert aspect_avif.stat().st_mtime == m_aspect_1 # aspect intact
|
||
|
||
|
||
def test_urls_versioned_for_cache_busting(tmp_path):
|
||
"""Les URLs images changent quand une tuile est régénérée.
|
||
|
||
Les URLs versionnées (?v=) sont servies avec un cache immutable : un
|
||
recalcul DOIT changer l'URL pour forcer le rechargement, y compris en
|
||
direct pendant un run (--incremental-index). Chaque URL porte la mtime
|
||
de SON fichier (cf. test_urls_versioned_by_served_file_mtime).
|
||
"""
|
||
import os
|
||
import re
|
||
from lidar_pipeline.index import build_index
|
||
|
||
output_dir = tmp_path / "output"
|
||
vis_dir = output_dir / "visualisations"
|
||
vis_dir.mkdir(parents=True)
|
||
tile_dir = _make_fake_viz_dir(vis_dir, "a", 1000, 6881, ('hillshade_multi',))
|
||
|
||
assert build_index(output_dir) is not None
|
||
|
||
def read_urls():
|
||
data = json.loads((output_dir / "index_tiles.json").read_text(encoding='utf-8'))
|
||
viz = data['tiles'][0]['viz']['hillshade_multi']
|
||
return viz['thumb'], viz['mid'], viz['full']
|
||
|
||
thumb1, mid1, full1 = read_urls()
|
||
for url in (thumb1, mid1, full1):
|
||
assert re.search(r"\?v=\d+$", url), url # versionnée (mtime ms)
|
||
assert (output_dir / url.split('?')[0]).exists(), url
|
||
|
||
# Même source, rebuild → URLs identiques (cache navigateur conservé)
|
||
assert build_index(output_dir) is not None
|
||
assert read_urls() == (thumb1, mid1, full1)
|
||
|
||
# Régénération : mtime de la source plus récente → nouvelles URLs
|
||
src = tile_dir / "LHD_FXX_1000_6881_PTS_LAMB93_IGN69_hillshade_multi.webp"
|
||
m = src.stat().st_mtime
|
||
os.utime(src, (m + 10, m + 10))
|
||
assert build_index(output_dir) is not None
|
||
thumb2, mid2, full2 = read_urls()
|
||
assert (thumb2, mid2, full2) != (thumb1, mid1, full1)
|
||
assert thumb2.split('?')[0] == thumb1.split('?')[0] # même fichier, version neuve
|
||
|
||
|
||
def test_subtile_urls_versioned(tmp_path):
|
||
"""Les URLs des sous-tuiles 0,2 m sont aussi versionnées (?v=)."""
|
||
import re
|
||
from lidar_pipeline.index import build_index
|
||
|
||
output_dir = tmp_path / "output"
|
||
vis_dir = output_dir / "visualisations"
|
||
vis_dir.mkdir(parents=True)
|
||
_make_fake_viz_dir(vis_dir, "a", 1000, 6881, ('hillshade_multi',),
|
||
res_suffix='_r0p2')
|
||
|
||
assert build_index(output_dir) is not None
|
||
data = json.loads((output_dir / "index_tiles.json").read_text(encoding='utf-8'))
|
||
subs = [t for t in data['tiles'] if t.get('sub_k') == 2]
|
||
assert subs
|
||
for t in subs:
|
||
for v in t['viz'].values():
|
||
for url in (v['thumb'], v['mid'], v['full']):
|
||
assert re.search(r"\?v=\d+$", url), url
|
||
assert (output_dir / url.split('?')[0]).exists(), url
|
||
|
||
|
||
def test_build_index_empty_returns_none(tmp_path):
|
||
"""Aucune tuile → build_index retourne None sans crash."""
|
||
from lidar_pipeline.index import build_index
|
||
|
||
output_dir = tmp_path / "output"
|
||
(output_dir / "visualisations").mkdir(parents=True)
|
||
result = build_index(output_dir)
|
||
assert result is None
|
||
|
||
|
||
|
||
def test_attach_gps_bounds():
|
||
"""attach_gps_bounds ajoute des bounds GPS ordonnées (France métropolitaine)."""
|
||
from lidar_pipeline.index import attach_gps_bounds
|
||
tiles = [{'col': 1000, 'row': 6881}, {'col': 1042, 'row': 6900}]
|
||
attach_gps_bounds(tiles)
|
||
for t in tiles:
|
||
assert 'bounds' in t
|
||
(lat_s, lon_w), (lat_n, lon_e) = t['bounds']
|
||
assert lat_n > lat_s
|
||
assert lon_e > lon_w
|
||
# France métropolitaine
|
||
assert 41 < lat_s < 51
|
||
assert -5 < lon_w < 10
|
||
|
||
|
||
def test_attach_gps_bounds_row_is_north_edge():
|
||
"""Le numéro de ligne du fichier = bord NORD (convention LiDAR HD IGN).
|
||
|
||
Vérifié sur les bounds des DTM : X ∈ [col, col+1] km, Y ∈ [row-1, row] km.
|
||
La régression historique plaçait Y ∈ [row, row+1] (1 km trop au nord).
|
||
"""
|
||
from rasterio.warp import transform as warp_transform
|
||
from lidar_pipeline.index import attach_gps_bounds
|
||
|
||
col, row = 1054, 6882
|
||
tiles = [{'col': col, 'row': row}]
|
||
attach_gps_bounds(tiles)
|
||
corners = tiles[0]['corners']
|
||
|
||
# Référence exacte de la vraie cellule : SW, SE, NE, NW
|
||
xs = [col * 1000, (col + 1) * 1000, (col + 1) * 1000, col * 1000]
|
||
ys = [(row - 1) * 1000, (row - 1) * 1000, row * 1000, row * 1000]
|
||
lons, lats = warp_transform('EPSG:2154', 'EPSG:4326', xs, ys)
|
||
for k in range(4):
|
||
assert abs(corners[k][0] - lats[k]) < 1e-9
|
||
assert abs(corners[k][1] - lons[k]) < 1e-9
|
||
|
||
# L'ancienne convention (row = bord sud) serait décalée d'environ 1 km
|
||
lat_n = max(c[0] for c in corners)
|
||
assert abs(lat_n - max(lats)) < 1e-9 # bord nord = Y = row×1000
|
||
|
||
|
||
|
||
def test_pick_display_viz_prefers_hillshade():
|
||
"""Le choix de viz par défaut privilégie hillshade_multi."""
|
||
from lidar_pipeline.index import _pick_display_viz
|
||
assert _pick_display_viz(['svf', 'hillshade_multi', 'slope']) == 'hillshade_multi'
|
||
assert _pick_display_viz(['svf', 'slope']) == 'svf'
|
||
assert _pick_display_viz(['topo']) == 'topo'
|
||
|
||
|
||
def test_subdivision_k():
|
||
"""0,5 m/px (2000 px) reste entier ; 0,2 m/px (5000 px) est découpé en 2×2."""
|
||
from lidar_pipeline.index import _subdivision_k
|
||
assert _subdivision_k(0.5) == 1
|
||
assert _subdivision_k(0.2) == 2
|
||
assert _subdivision_k(1.0) == 1
|
||
|
||
|
||
def test_subtile_corners_grid():
|
||
"""Les sous-tuiles reconstruisent exactement la grille de la dalle."""
|
||
from lidar_pipeline.index import _subtile_corners
|
||
corners = [[10.0, 2.0], [10.0, 3.0], [11.0, 3.0], [11.0, 2.0]] # SW SE NE NW
|
||
k = 2
|
||
sw_quad = _subtile_corners(corners, 0, 0, k) # quadrant sud-ouest
|
||
ne_quad = _subtile_corners(corners, 1, 1, k) # quadrant nord-est
|
||
# Le quadrant SW partage le coin SW de la dalle
|
||
assert sw_quad[0] == corners[0]
|
||
# Le quadrant NE partage le coin NE de la dalle
|
||
assert ne_quad[2] == corners[2]
|
||
# Le quadrant SW a son coin NE au centre de la dalle
|
||
assert sw_quad[2] == [10.5, 2.5]
|
||
# Adjacence : bord est du SW = bord ouest du SE (0,0)-(1,0)
|
||
se_quad = _subtile_corners(corners, 1, 0, k)
|
||
assert sw_quad[1] == se_quad[0]
|
||
assert sw_quad[2] == se_quad[3]
|
||
|
||
|
||
def test_approx_wgs84_to_l93_roundtrip():
|
||
"""L'approximation affine WGS84→L93 est l'inverse exacte de L93→WGS84."""
|
||
from lidar_pipeline.index import _approx_l93_to_wgs84, _approx_wgs84_to_l93
|
||
for x, y in ((1054000.0, 6882000.0), (700000.0, 6600000.0), (950123.0, 6410456.0)):
|
||
lon, lat = _approx_l93_to_wgs84(x, y)
|
||
x2, y2 = _approx_wgs84_to_l93(lon, lat)
|
||
assert abs(x2 - x) < 1e-6 and abs(y2 - y) < 1e-6
|
||
|
||
|
||
|
||
|
||
def test_subtile_corners_shared_edges_exact():
|
||
"""Bords partagés : deux sous-tuiles voisines reçoivent le MÊME point.
|
||
|
||
Sans partage, l'interpolation bilinéaire est évaluée deux fois sur des
|
||
fractions différentes et les bords ne coïncident plus à moins d'un pixel
|
||
— jointure cassée (ligne blanche) au zoom moyen.
|
||
"""
|
||
from lidar_pipeline.index import _subtile_corners
|
||
corners = [[10.0, 2.0], [10.0, 3.0], [11.0, 3.0], [11.0, 2.0]]
|
||
k = 4
|
||
a = _subtile_corners(corners, 0, 0, k)
|
||
b = _subtile_corners(corners, 1, 0, k)
|
||
assert a[1] == b[0] # bord est de (0,0) = bord ouest de (1,0)
|
||
assert a[2] == b[3]
|
||
c = _subtile_corners(corners, 0, 1, k)
|
||
assert a[3] == c[0] # bord nord de (0,0) = bord sud de (0,1)
|
||
d = _subtile_corners(corners, 3, 3, k)
|
||
assert d[2] == corners[2] # coin NE de la dalle partagé tel quel
|
||
|
||
|
||
def test_overview_corners_shared_between_tiles(tmp_path):
|
||
"""Le coin d'une dalle est aussi celui de sa voisine (même point).
|
||
|
||
Deux dalles adjacentes E-O partagent un bord vertical : le NE de la dalle
|
||
ouest = le NW de la dalle est. Sans partage, les interpolations bilinéaires
|
||
des sous-tuiles voisines ne coïncident plus à moins d'un pixel — jointure
|
||
cassée au zoom moyen.
|
||
"""
|
||
from lidar_pipeline.index import build_index
|
||
|
||
output_dir = tmp_path / "output"
|
||
vis_dir = output_dir / "visualisations"
|
||
vis_dir.mkdir(parents=True)
|
||
for col in (1000, 1001):
|
||
_make_fake_viz_dir(vis_dir, "a", col, 6881, ('hillshade_multi',))
|
||
|
||
assert build_index(output_dir) is not None
|
||
data = json.loads((output_dir / "index_tiles.json").read_text(encoding='utf-8'))
|
||
tiles = {t['col']: t for t in data['tiles']}
|
||
a_ne = tiles[1000]['corners'][2] # NE de la dalle ouest
|
||
b_nw = tiles[1001]['corners'][3] # NW de la dalle est
|
||
assert a_ne == b_nw, f"coins partagés divergents : {a_ne} != {b_nw}"
|
||
|
||
|
||
def test_urls_versioned_by_served_file_mtime(tmp_path):
|
||
"""?v= suit la mtime du fichier SERVI — prérequis du cache immutable.
|
||
|
||
Une vignette recalculée après coup (source inchangée) change de contenu :
|
||
son URL doit changer aussi, sans toucher celles des fichiers intacts.
|
||
"""
|
||
from lidar_pipeline.index import build_index
|
||
|
||
output_dir = tmp_path / "output"
|
||
vis_dir = output_dir / "visualisations"
|
||
vis_dir.mkdir(parents=True)
|
||
_make_fake_viz_dir(vis_dir, "a", 1000, 6881, ('hillshade_multi',))
|
||
# 0,2 m : la dalle passe par le sous-tuilage (vignettes/mid/AVIF propres)
|
||
_make_fake_viz_dir(vis_dir, "b", 1001, 6881, ('hillshade_multi',),
|
||
res_suffix='_r0p2')
|
||
|
||
assert build_index(output_dir) is not None
|
||
data = json.loads((output_dir / "index_tiles.json").read_text(encoding='utf-8'))
|
||
import time
|
||
for t in data['tiles']:
|
||
for viz in t['viz'].values():
|
||
for tier in ('thumb', 'mid', 'full'):
|
||
url = viz.get(tier)
|
||
if not url or '?v=' not in url:
|
||
continue
|
||
path, v = url.split('?v=')
|
||
assert v.isdigit()
|
||
# La version est la mtime ms du fichier servi lui-même
|
||
# (tolérance 1 s : granularité du système de fichiers).
|
||
assert abs(int(v) - int((output_dir / path).stat().st_mtime * 1000)) < 1000
|
||
|
||
# Vignette 0,5 m recalculée après coup : seule SON URL change.
|
||
tiles05 = [t for t in data['tiles'] if t.get('resolution') == 0.5]
|
||
url_before = tiles05[0]['viz']['hillshade_multi']['thumb']
|
||
thumb_path = output_dir / url_before.split('?')[0]
|
||
time.sleep(0.05)
|
||
from PIL import Image as PILImage
|
||
PILImage.new('RGB', (30, 30), (200, 10, 10)).save(str(thumb_path), format='JPEG')
|
||
assert build_index(output_dir) is not None
|
||
data2 = json.loads((output_dir / "index_tiles.json").read_text(encoding='utf-8'))
|
||
tiles05b = [t for t in data2['tiles'] if t.get('resolution') == 0.5]
|
||
url_after = tiles05b[0]['viz']['hillshade_multi']['thumb']
|
||
assert url_after.split('?')[0] == url_before.split('?')[0]
|
||
assert url_after != url_before
|