8ca65155db
- webapp.py: FastAPI serving the continuous map (port 8973) with /api/preview, /api/generate and /api/status; tiles are downloaded from IGN and processed in a logged subprocess, tracked live in a side "File de génération" panel that survives page reloads - fetch_ign.py: download missing 1 km LiDAR HD tiles from the IGN geoplateforme before processing - index.py: tile thumbnails and 500 m subtiles are now invalidated by mtime so regenerating a tile refreshes its cached images; progress logging per tile - dtm.py: back to the historical gap handling (small gaps filled by fillnodata only, larger holes left as nodata rendered black); lowest-return floor only via --bare-earth, IGN class selection via --ign-classes - cli.py: positional input now optional (--rebuild-index works alone) - docker-compose.yml: serve (GPU, port 8973) and process services; launch via docker compose only (documented in AGENTS.md/AGENTS.md) - tests: 131 passing, incl. regressions for thumbnail staleness, --rebuild-index without input, and nodata rendering
82 lines
3.8 KiB
Python
82 lines
3.8 KiB
Python
"""Tests du serveur web de génération de zones (webapp)."""
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def test_bbox_to_cells_single_km_cell():
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"""Une bbox couvrant ~1 km² retourne la cellule L93 correspondante."""
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from lidar_pipeline.webapp import bbox_to_cells
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# Cellule 1054,6882 : X∈[1054000,1055000], Y∈[6881000,6882000] (L93)
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from rasterio.warp import transform as warp_transform
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lons, lats = warp_transform('EPSG:2154', 'EPSG:4326',
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[1054100, 1054900], [6881100, 6881900])
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cells = bbox_to_cells(min(lons), min(lats), max(lons), max(lats))
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assert (1054, 6882) in cells
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# La sélection reste locale : pas de cellule lointaine
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for (c, r) in cells:
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assert abs(c - 1054) <= 1 and abs(r - 6882) <= 1
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def test_bbox_to_cells_empty_for_tiny_bbox():
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"""Une bbox quasi ponctuelle ne sélectionne rien (rétrécie sous 1 m)."""
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from lidar_pipeline.webapp import bbox_to_cells
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assert bbox_to_cells(7.850000, 48.930000, 7.850001, 48.930001) == []
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def test_processed_cells(tmp_path):
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"""processed_cells lit les dossiers de visualisations."""
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from lidar_pipeline.webapp import processed_cells
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vis = tmp_path / "visualisations" / "LHD_FXX_1054_6882_PTS_LAMB93_IGN69_r0p2"
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vis.mkdir(parents=True)
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(vis / "LHD_FXX_1054_6882_PTS_LAMB93_IGN69_r0p2_aspect.avif").write_bytes(b"x")
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assert processed_cells(tmp_path) == {(1054, 6882)}
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def test_missing_cells_filters_processed(tmp_path):
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"""Les cellules déjà traitées sont exclues, les autres gardent leurs coins."""
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from lidar_pipeline.webapp import missing_cells_with_corners
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vis = tmp_path / "visualisations" / "LHD_FXX_1054_6882_PTS_LAMB93_IGN69"
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vis.mkdir(parents=True)
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(vis / "LHD_FXX_1054_6882_PTS_LAMB93_IGN69_aspect.avif").write_bytes(b"x")
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todo = missing_cells_with_corners([(1054, 6882), (1055, 6882)], tmp_path)
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assert len(todo) == 1
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assert todo[0]['col'] == 1055 and todo[0]['row'] == 6882
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assert len(todo[0]['corners']) == 4 # SW, SE, NE, NW
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def test_missing_cells_include_done(tmp_path):
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"""include_done=True conserve les cellules déjà traitées (régénération)."""
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from lidar_pipeline.webapp import missing_cells_with_corners
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vis = tmp_path / "visualisations" / "LHD_FXX_1054_6882_PTS_LAMB93_IGN69"
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vis.mkdir(parents=True)
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(vis / "LHD_FXX_1054_6882_PTS_LAMB93_IGN69_aspect.avif").write_bytes(b"x")
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todo = missing_cells_with_corners([(1054, 6882), (1055, 6882)], tmp_path,
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include_done=True)
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assert {(t['col'], t['row']) for t in todo} == {(1054, 6882), (1055, 6882)}
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def test_build_command_regenerate():
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"""regenerate=True ajoute --force --force-classification à la commande."""
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from lidar_pipeline.webapp import _build_command
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cmd = " ".join(_build_command([(1054, 6882)], regenerate=True))
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assert "--force" in cmd
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assert "--force-classification" in cmd
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cmd = " ".join(_build_command([(1054, 6882)]))
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assert "--force" not in cmd
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assert "--force-classification" not in cmd
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def test_build_command_ground_classification():
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"""La commande utilise la méthode de classification demandée (défaut : ign)."""
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from lidar_pipeline.webapp import _build_command, GROUND_CLASS_METHODS
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# Défaut : ign (pré-classification)
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cmd = _build_command([(1054, 6882)])
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i = cmd.index("--ground-classification")
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assert cmd[i + 1] == "ign"
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# Chaque méthode valide est transmise telle quelle, avec ou sans régénération
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for method in GROUND_CLASS_METHODS:
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for regenerate in (False, True):
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cmd = _build_command([(1054, 6882)], regenerate=regenerate, ground_class=method)
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i = cmd.index("--ground-classification")
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assert cmd[i + 1] == method
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assert ("--force" in cmd) == regenerate
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assert ("--force-classification" in cmd) == regenerate
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