ARG ILUVATAR_BASE_IMAGE=registry.iluvatar.com.cn:10443/customer/sz/vllm0.17.0-4.4.0-x86:v5
FROM ${ILUVATAR_BASE_IMAGE}

ARG PYTHON_BIN=python3
ARG INSTALL_SYSTEM_PACKAGES=false

ENV DEBIAN_FRONTEND=noninteractive \
    PYTHONUNBUFFERED=1 \
    PYTHONDONTWRITEBYTECODE=1 \
    HF_HUB_DISABLE_SYMLINKS_WARNING=1 \
    HF_HUB_DISABLE_PROGRESS_BARS=1 \
    PIP_BREAK_SYSTEM_PACKAGES=1 \
    ACCELERATOR=iluvatar \
    DEVICE=auto \
    APP_PYTHON_BIN=${PYTHON_BIN}

# Iluvatar production images should be built on top of the official Iluvatar
# vLLM image. The base image owns the IX runtime, PyTorch, vLLM, and kernels;
# this layer only adds generic project/runtime dependencies and app code.
RUN if [ "${INSTALL_SYSTEM_PACKAGES}" = "true" ]; then \
        apt-get update && apt-get install -y --no-install-recommends \
            python3 python3-pip python3-venv ffmpeg sox libsox-dev libsndfile1 nginx \
        && apt-get clean && rm -rf /var/lib/apt/lists/*; \
    fi

WORKDIR /app

COPY environments/iluvatar/requirements.txt /tmp/qwen3-asr-iluvatar-requirements.txt
RUN ${APP_PYTHON_BIN} -m pip install --no-cache-dir -r /tmp/qwen3-asr-iluvatar-requirements.txt && \
    rm -f /tmp/qwen3-asr-iluvatar-requirements.txt

RUN ${APP_PYTHON_BIN} - <<'PY'
import importlib
import torch

print("torch", torch.__version__)
print("torch.cuda.is_available", torch.cuda.is_available())
for name in ("vllm",):
    module = importlib.import_module(name)
    print(name, getattr(module, "__version__", "unknown"))
PY

COPY . .

RUN mkdir -p /app/data/temp /app/data/logs /app/data/tasks \
    && chmod +x start.py /app/scripts/docker/entrypoint.sh

EXPOSE 8000

ENTRYPOINT ["/app/scripts/docker/entrypoint.sh"]
CMD ["python3", "start.py"]