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Translate the whole project to English and fix outdated comments and help

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Comments, docstrings, logs, CLI help, map UI, legends, PDF sheet, scripts,
compose files and AGENTS.md are now English. Data keys stay unchanged
(relief_oriente, densite_sol, visualisations/, API JSON keys, link params).
Wrong comments and help defaults found along the way are corrected.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
Antoine
2026-09-27 23:16:45 +02:00
parent cc1c22d2b8
commit fb892ea9f2
52 changed files with 4356 additions and 4323 deletions
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32
Dockerfile.maps
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@ -1,8 +1,8 @@
# Carte LiDAR à tuiles XYZ (image « lidar-maps ») — cf. docs/MAPS.md.
# LiDAR XYZ tile map ("lidar-maps" image) - see docs/MAPS.md.
#
# Sert la pyramide de tuiles Web Mercator (schéma OpenStreetMap) rendue à la
# demande depuis les dalles du pipeline, plus l'interface de consultation.
# Aucun PDAL, aucun GDAL, aucun GPU : Pillow + pyproj suffisent (ARM64 inclus).
# Serves the Web Mercator tile pyramid (OpenStreetMap scheme) rendered from
# the pipeline's source tiles, plus the viewing interface and the PDF export.
# No PDAL, no GDAL, no GPU: Pillow + pyproj + reportlab are enough (ARM64 included).
#
# docker compose -f docker-compose.maps.yml up -d --build
FROM python:3.12-slim
@ -10,9 +10,9 @@ FROM python:3.12-slim
ENV DEBIAN_FRONTEND=noninteractive
ENV TZ=Europe/Paris
# Pillow >= 11.3 : encodage/décodage AVIF natif (dalles et sous-tuiles du
# pipeline) ; pyproj : reprojection Lambert 93 → Web Mercator sans GDAL ;
# reportlab : planche PDF d'impression, pur Python.
# Pillow >= 11.3: native AVIF encoding/decoding (pipeline tiles and
# sub-tiles); pyproj: Lambert 93 -> Web Mercator reprojection without GDAL;
# reportlab: printable PDF sheet, pure Python.
RUN pip3 install --no-cache-dir \
fastapi \
uvicorn \
@ -22,12 +22,14 @@ RUN pip3 install --no-cache-dir \
WORKDIR /app
# Seuls tiles.py, mapserve.py, mapui.py et index.py (registres de couches) sont
# importés ; les modules de traitement sont copiés mais jamais chargés.
# Only modules that import without numpy/GDAL are loaded (mapserve.py,
# tiles.py, mapui.py, index.py for the layer registries, export_pdf.py,
# quality.py, progress.py, fetch_ign.py); the processing modules are copied
# but never loaded.
COPY lidar_pipeline/ ./lidar_pipeline/
# CSS/JS de l'interface bâchés dans l'image : le code de la carte suit l'image,
# pas le cache de tuiles (régénéré à chaque build).
# Interface CSS/JS baked into the image: the map code follows the image,
# not the tile cache (regenerated on every build).
RUN python3 -c "import sys; sys.path.insert(0, '/app'); \
from lidar_pipeline.mapui import write_map_assets, ASSETS_DIRNAME; \
write_map_assets('/app/lidar_pipeline/' + ASSETS_DIRNAME)"
@ -37,10 +39,10 @@ RUN groupadd -g 1000 lidar && \
mkdir -p /data/output && \
chown -R lidar:lidar /data
# Seuil mmap FIXE (1 Mo) : les grands tampons d'image (décodage des dalles,
# ~25 Mo) sont rendus au système dès leur libération. Avec le seuil
# dynamique de glibc, ils restaient dans le tas après la première libération
# et la mémoire du conteneur ne redescendait jamais (OOM sur le Pi).
# FIXED mmap threshold (1 MiB): large image buffers (tile decoding, ~25 MB)
# are returned to the system as soon as they are freed. With glibc's dynamic
# threshold they stayed in the heap after the first free and the container's
# memory never went back down (OOM on the Pi).
ENV LIDAR_OUTPUT_DIR=/data/output \
LIDAR_PORT=8975 \
PYTHONPATH=/app \