FROM docker.io/pytorch/pytorch:2.7.0-cuda12.6-cudnn9-runtime

ENV PYTHONDONTWRITEBYTECODE=1 \
    PYTHONUNBUFFERED=1 \
    PIP_NO_CACHE_DIR=1 \
    WHISPER_CACHE_DIR=/srv/asr/models-cache \
    ASR_BASE_DIR=/srv/asr

WORKDIR /app

RUN apt-get update && apt-get install -y --no-install-recommends \
    ffmpeg \
    libsndfile1 \
    curl \
    supervisor \
    python3-venv \
    && rm -rf /var/lib/apt/lists/*

COPY envs/ /build/envs/

# gateway venv — 경량, GPU 불필요
RUN python -m venv /opt/venvs/gateway && \
    /opt/venvs/gateway/bin/pip install --upgrade pip && \
    /opt/venvs/gateway/bin/pip install -r /build/envs/gateway.txt

# faster-whisper venv — CTranslate2가 CUDA 직접 처리
RUN python -m venv /opt/venvs/faster_whisper && \
    /opt/venvs/faster_whisper/bin/pip install --upgrade pip && \
    /opt/venvs/faster_whisper/bin/pip install -r /build/envs/faster_whisper.txt

# qwen3 venv — base image의 torch/CUDA 상속
RUN python -m venv --system-site-packages /opt/venvs/qwen3 && \
    /opt/venvs/qwen3/bin/pip install --upgrade pip && \
    /opt/venvs/qwen3/bin/pip install -r /build/envs/qwen3.txt

COPY app/ /app/

RUN chmod +x /app/start.sh

EXPOSE 8000

CMD ["/app/start.sh"]