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Add web map with zone generation API, side job queue, and restore historical DTM hole rendering

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- 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
This commit is contained in:
Antoine Jacquin
2026-08-31 18:07:14 +02:00
parent 35bd827790
commit 8ca65155db
19 changed files with 3676 additions and 771 deletions
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4
AGENTS.md
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@ -8,6 +8,9 @@
- lint: not configured
- format: not configured
- after every edit: `./run.sh --test`
- **RÈGLE 1 — toujours lancer via docker compose** (jamais `docker run` direct) : carte/API → `docker compose up -d serve` (port 8973) ; traitement ponctuel → `docker compose run --rm process [options]` ; logs → `docker compose logs -f serve` ; arrêt → `docker compose down`.
- **RÈGLE 2 — après chaque édition de code : rebuild de l'image puis relance du conteneur.** Le code est baké dans l'image (jamais monté) : sans `docker compose build` suivi d'un `docker compose up -d serve` (recrée le conteneur), l'ANCIEN code continue de tourner. Toujours reconstruire avant de faire tester/valider une modif par l'utilisateur.
- test rapide sans rebuild (code monté par-dessus l'image): `docker run --rm -e PYTHONPATH=/app -v $(pwd)/lidar_pipeline:/app/lidar_pipeline lidar-lidar python3 -m pytest --pyargs lidar_pipeline.tests`
- debug: `./run.sh --debug` (file:line logging); container shell: `docker run --rm -it -v $(pwd)/input:/data/input -v $(pwd)/output:/data/output --entrypoint bash lidar-lidar`
## Conventions
@ -21,6 +24,7 @@
- **Default output is AVIF**, not WebP. Use `--format webp` for WebP. Quality default is 98.
- **Tests use lazy imports inside each test function**, never at module top, to avoid importing CuPy/GDAL at import time.
- **`_`-prefixed names are critical private**: `_create_ground_pipeline`, `_fallback_to_smrf`, `_fill_nans`, `_init_gpu`, `_process_file_standalone` — do not call from outside their module.
- **`build_index()` writes 3 files**: `output/index.html` (data shell, `const TILES` embedded), `output/assets/app.css` and `output/assets/app.js` (source: `_APP_CSS`/`_APP_JS` constants in `index.py`). `webapp.py` serves `/assets` with no-cache headers. Each tile carries `meta` — ground method read from `DTM/*_dtm{_rXpY}_method.txt` (falls back to the primary-resolution sidecar) + per-viz dates/sizes.
## Commit & Pull Request Guidelines