ShootTracker Deploy
38 lines
1.2 KiB
Docker
38 lines
1.2 KiB
Docker
# ─── ShootTracker AI Service ──────────────────────────────────────────────────
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# Python + FastAPI + YOLOv8 + OpenCV (PyTorch CPU-only, ~200MB)
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FROM python:3.11-slim
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# Dépendances système minimales
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RUN apt-get update && apt-get install -y --no-install-recommends \
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libglib2.0-0 libgl1 libgomp1 wget \
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&& rm -rf /var/lib/apt/lists/*
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WORKDIR /app
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# 1. PyTorch CPU-only en premier (index dédié = version légère ~200MB)
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RUN pip install --no-cache-dir \
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torch==2.3.0 torchvision==0.18.0 \
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--index-url https://download.pytorch.org/whl/cpu
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# 2. Reste des dépendances (pas de torch/torchvision dans requirements.txt)
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COPY requirements-api.txt .
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RUN pip install --no-cache-dir -r requirements-api.txt
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# Copier le code
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COPY . .
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# Variables d'environnement
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ENV PORT=8000
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ENV YOLO_MODEL_PATH=yolov8n.pt
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ENV PYTHONUNBUFFERED=1
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ENV PYTHONDONTWRITEBYTECODE=1
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# Healthcheck
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HEALTHCHECK --interval=30s --timeout=15s --start-period=120s --retries=5 \
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CMD wget -qO- http://localhost:8000/health || exit 1
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EXPOSE 8000
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CMD ["python", "-m", "uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000", "--workers", "1"]
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