58 lines
1.8 KiB
Docker
58 lines
1.8 KiB
Docker
ARG VARIANT=cpu
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# ---- CPU base ----
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FROM python:3.11-slim AS base-cpu
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RUN apt-get update && apt-get install -y --no-install-recommends \
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curl libgl1 libglib2.0-0 \
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&& rm -rf /var/lib/apt/lists/*
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COPY requirements.txt /tmp/requirements.txt
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COPY requirements-cpu.txt /tmp/requirements-cpu.txt
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RUN pip install --no-cache-dir -r /tmp/requirements.txt -r /tmp/requirements-cpu.txt \
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&& rm /tmp/requirements*.txt
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# ---- GPU base (CUDA 12.4) ----
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FROM nvidia/cuda:12.4.1-cudnn-runtime-ubuntu22.04 AS base-gpu
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ENV DEBIAN_FRONTEND=noninteractive
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RUN apt-get update && apt-get install -y --no-install-recommends \
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software-properties-common \
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&& add-apt-repository ppa:deadsnakes/ppa \
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&& apt-get update \
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&& apt-get install -y --no-install-recommends \
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python3.11 python3.11-venv python3.11-dev \
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curl libgl1 libglib2.0-0 \
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&& ln -sf /usr/bin/python3.11 /usr/bin/python3 \
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&& ln -sf /usr/bin/python3 /usr/bin/python \
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&& python3 -m ensurepip --upgrade \
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&& python3 -m pip install --no-cache-dir --upgrade pip \
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&& rm -rf /var/lib/apt/lists/*
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COPY requirements.txt /tmp/requirements.txt
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COPY requirements-gpu.txt /tmp/requirements-gpu.txt
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RUN pip install --no-cache-dir -r /tmp/requirements.txt -r /tmp/requirements-gpu.txt \
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&& rm /tmp/requirements*.txt
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# ---- Final stage ----
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FROM base-${VARIANT} AS final
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WORKDIR /app
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# Copy application code
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COPY app/ /app/app/
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# Create data directories
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RUN mkdir -p /data/uploads /data/outputs /data/models /data/temp /data/jobs
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# Health check
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HEALTHCHECK --interval=30s --timeout=10s --start-period=40s --retries=3 \
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CMD curl -f http://localhost:8000/api/v1/health || exit 1
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# Expose port
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EXPOSE 8000
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# Run API
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CMD ["python", "-m", "uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]
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