119 lines
4.5 KiB
Docker
119 lines
4.5 KiB
Docker
# Utilisation de l'image officielle Miniforge (basée sur Debian)
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FROM condaforge/miniforge3:26.3.2-3
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# Éviter l'écriture de fichiers .pyc et forcer le buffering immédiat des logs
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ENV PYTHONDONTWRITEBYTECODE=1
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ENV PYTHONUNBUFFERED=1
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WORKDIR /app
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# Installation des paquets système requis pour le runtime (ex: OpenGL et GLib pour OpenCV/YOLO)
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RUN apt-get update && apt-get install -y --no-install-recommends \
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gnupg \
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ca-certificates \
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curl \
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&& curl -fsSL https://www.postgresql.org/media/keys/ACCC4CF8.asc | gpg --dearmor -o /etc/apt/trusted.gpg.d/postgresql.gpg \
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&& (. /etc/os-release && echo "deb http://apt.postgresql.org/pub/repos/apt ${VERSION_CODENAME}-pgdg main" > /etc/apt/sources.list.d/pgdg.list) \
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&& apt-get update && apt-get install -y --no-install-recommends \
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libgl1 \
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libglib2.0-0 \
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fonts-dejavu \
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fonts-liberation \
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postgresql-client-18 \
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rsync \
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openssh-client \
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&& rm -rf /var/lib/apt/lists/*
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# Création de l'environnement conda avec les packages cartographiques et poppler
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# gdal, geos, proj et poppler sont installés depuis conda-forge
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RUN mamba create -n loko-env -y -c conda-forge \
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python=3.12 \
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gdal \
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geos \
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proj \
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poppler \
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&& mamba clean -afy
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# Activation par défaut de l'environnement Conda dans le conteneur
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ENV PATH=/opt/conda/envs/loko-env/bin:$PATH
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ENV CONDA_DEFAULT_ENV=loko-env
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# Configuration explicite des variables GIS pour GeoDjango
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ENV GDAL_LIBRARY_PATH=/opt/conda/envs/loko-env/lib/libgdal.so
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ENV GEOS_LIBRARY_PATH=/opt/conda/envs/loko-env/lib/libgeos_c.so
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ENV PROJ_DATA=/opt/conda/envs/loko-env/share/proj
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# Argument de build pour activer l'installation des librairies IA (ultralytics, OpenCV...)
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# Passer INSTALL_AI_LIBS=true dans le docker-compose pour les inclure
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ARG INSTALL_AI_LIBS=false
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ARG GIT_COMMIT=unknown
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ARG BUILD_DATE=unknown
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ARG LOKO_VERSION=1.0.0
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ENV GIT_COMMIT_SHA=${GIT_COMMIT}
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ENV BUILD_DATE=${BUILD_DATE}
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ENV LOKO_VERSION=${LOKO_VERSION}
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# Copie et installation des dépendances Python
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COPY requirements/ /app/requirements/
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RUN pip install --no-cache-dir -r requirements/base.txt && \
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if [ "$INSTALL_AI_LIBS" = "true" ]; then \
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pip install --no-cache-dir -r requirements/ai.txt; \
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fi
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# 1. Copie des répertoires volumineux et statiques (très bonne mise en cache)
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COPY loko/scripts/ /app/scripts/
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COPY loko/common/ /app/common/
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COPY loko/home/ /app/home/
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# 2. Copie des modules de l'application qui changent rarement
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COPY loko/locale/ /app/locale/
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COPY loko/templates/ /app/templates/
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COPY loko/analytics/ /app/analytics/
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COPY loko/api/ /app/api/
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COPY loko/authorizations/ /app/authorizations/
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COPY loko/contracts/ /app/contracts/
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COPY loko/documents/ /app/documents/
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COPY loko/maps/ /app/maps/
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COPY loko/notifications/ /app/notifications/
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COPY loko/projects/ /app/projects/
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COPY loko/reporting/ /app/reporting/
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COPY loko/bim/ /app/bim/
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COPY loko/sign/ /app/sign/
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COPY loko/stock/ /app/stock/
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# 3. Copie des modules actifs ou modifiés fréquemment
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COPY loko/loko/ /app/loko/
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COPY loko/mobile/ /app/mobile/
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COPY loko/observations/ /app/observations/
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COPY loko/controls/ /app/controls/
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COPY loko/interventions/ /app/interventions/
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COPY loko/inspections/ /app/inspections/
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COPY loko/assets/ /app/assets/
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COPY loko/panoramax/ /app/panoramax/
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# 4. Copie des fichiers de code de road_detection (sans réimporter les modèles de détection)
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COPY loko/road_detection/__init__.py /app/road_detection/
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COPY loko/road_detection/admin.py /app/road_detection/
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COPY loko/road_detection/apps.py /app/road_detection/
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COPY loko/road_detection/detection.py /app/road_detection/
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COPY loko/road_detection/forms.py /app/road_detection/
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COPY loko/road_detection/models.py /app/road_detection/
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COPY loko/road_detection/urls.py /app/road_detection/
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COPY loko/road_detection/views.py /app/road_detection/
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COPY loko/road_detection/migrations/ /app/road_detection/migrations/
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COPY loko/road_detection/templates/ /app/road_detection/templates/
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# 5. Copie des fichiers Python et de configuration restants à la racine
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COPY loko/*.py /app/
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COPY loko/generated_passwords.txt* /app/
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# Exposer le port par défaut
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EXPOSE 8000
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# Entrypoint de production : Gunicorn avec workers/timeout configurables via variables d'environnement
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# GUNICORN_WORKERS (défaut: 4) et GUNICORN_TIMEOUT (défaut: 120) peuvent être surchargés dans le docker-compose
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# En développement, "command: python manage.py runserver..." dans docker-compose.yml court-circuite cet entrypoint
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COPY docker-entrypoint.sh /docker-entrypoint.sh
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RUN chmod +x /docker-entrypoint.sh
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CMD ["/docker-entrypoint.sh"]
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