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
70 lines
2.2 KiB
YAML
70 lines
2.2 KiB
YAML
# Lancement du pipeline LiDAR — TOUJOURS via docker compose :
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# docker compose build # après chaque édition de code (code baké dans l'image)
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# docker compose up -d serve # carte interactive + API sur http://localhost:8973
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# docker compose logs -f serve # journal du serveur
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# docker compose down # arrêt
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# Traitement ponctuel (sans serveur) :
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# docker compose run --rm process [-r 0.5,0.2 | --force | --file ...]
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# Jupyter (opt-in) :
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# docker compose --profile interactive up -d jupyter
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services:
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# Carte interactive + API de génération (mode ./run.sh --serve)
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serve:
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build: .
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image: lidar-lidar
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container_name: lidar-serve
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init: true
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user: "1000:1000"
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gpus: all
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ports:
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- "8973:8973"
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volumes:
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# input/ en écriture : l'API y télécharge les dalles IGN manquantes
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- ./input:/data/input
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- ./output:/data/output
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environment:
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- TZ=Europe/Paris
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- LIDAR_INPUT_DIR=/data/input
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- LIDAR_OUTPUT_DIR=/data/output
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# Les générations lancées depuis la carte utilisent le GPU
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- LIDAR_GPU=1
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- LIDAR_WORKERS=2
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command: python3 -m uvicorn lidar_pipeline.webapp:app --host 0.0.0.0 --port 8973
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restart: unless-stopped
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# Traitement ponctuel des dalles input/ (une passe puis arrêt)
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process:
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build: .
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image: lidar-lidar
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container_name: lidar-process
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init: true
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user: "1000:1000"
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gpus: all
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volumes:
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- ./input:/data/input
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- ./output:/data/output
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environment:
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- TZ=Europe/Paris
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command: ["python3", "-m", "lidar_pipeline", "/data/input", "-o", "/data/output", "-r", "0.5,0.2", "-g", "all"]
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profiles:
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- process
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# Exploration interactive (opt-in : --profile interactive)
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jupyter:
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build: .
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image: lidar-lidar
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container_name: lidar-jupyter
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init: true
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ports:
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- "8888:8888"
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volumes:
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- ./input:/data/input
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- ./output:/data/output
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- ./notebooks:/workspace
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command: >
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bash -c "pip install jupyter && \
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jupyter notebook --ip=0.0.0.0 --port=8888 --no-browser --allow-root --NotebookApp.token=''"
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profiles:
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- interactive
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