# LiDAR XYZ tile map ("lidar-maps" image) - see docs/MAPS.md.
#
# 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

ENV DEBIAN_FRONTEND=noninteractive
ENV TZ=Europe/Paris

# 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 \
    "pillow>=11.3" \
    pyproj \
    "reportlab>=4.0"

WORKDIR /app

# 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/

# 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)"

RUN groupadd -g 1000 lidar && \
    useradd -u 1000 -g lidar -m -s /bin/bash lidar && \
    mkdir -p /data/output && \
    chown -R lidar:lidar /data

# 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 \
    MALLOC_MMAP_THRESHOLD_=1048576

USER lidar
EXPOSE 8975

CMD ["python3", "-m", "uvicorn", "lidar_pipeline.mapserve:app", "--host", "0.0.0.0", "--port", "8975"]