realesrgan-api/Dockerfile

ARG VARIANT=cpu

# ---- CPU base ----
FROM python:3.11-slim AS base-cpu

RUN apt-get update && apt-get install -y --no-install-recommends \
    curl libgl1 libglib2.0-0 \
    && rm -rf /var/lib/apt/lists/*

COPY requirements.txt /tmp/requirements.txt
COPY requirements-cpu.txt /tmp/requirements-cpu.txt
RUN pip install --no-cache-dir -r /tmp/requirements.txt -r /tmp/requirements-cpu.txt \
    && rm /tmp/requirements*.txt

# ---- GPU base (CUDA 12.4) ----
FROM nvidia/cuda:12.4.1-cudnn-runtime-ubuntu22.04 AS base-gpu

ENV DEBIAN_FRONTEND=noninteractive

RUN apt-get update && apt-get install -y --no-install-recommends \
    software-properties-common \
    && add-apt-repository ppa:deadsnakes/ppa \
    && apt-get update \
    && apt-get install -y --no-install-recommends \
    python3.11 python3.11-venv python3.11-dev \
    curl libgl1 libglib2.0-0 \
    && ln -sf /usr/bin/python3.11 /usr/bin/python3 \
    && ln -sf /usr/bin/python3 /usr/bin/python \
    && python3 -m ensurepip --upgrade \
    && python3 -m pip install --no-cache-dir --upgrade pip \
    && rm -rf /var/lib/apt/lists/*

COPY requirements.txt /tmp/requirements.txt
COPY requirements-gpu.txt /tmp/requirements-gpu.txt
RUN pip install --no-cache-dir -r /tmp/requirements.txt -r /tmp/requirements-gpu.txt \
    && rm /tmp/requirements*.txt

# ---- Final stage ----
FROM base-${VARIANT} AS final

WORKDIR /app

# Copy application code
COPY app/ /app/app/

# Create data directories
RUN mkdir -p /data/uploads /data/outputs /data/models /data/temp /data/jobs

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=40s --retries=3 \
    CMD curl -f http://localhost:8000/api/v1/health || exit 1

# Expose port
EXPOSE 8000

# Run API
CMD ["python", "-m", "uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]