FROM python:3.13-slim

ENV DEBIAN_FRONTEND=noninteractive
ENV PYTHONUNBUFFERED=1

WORKDIR /app

ARG EXTRAS
ARG HF_PRECACHE_DIR
ARG HF_TKN_FILE

RUN apt-get update && \
    apt-get install -y --no-install-recommends \
        ffmpeg \
        git \
        build-essential \
        python3-dev && \
    rm -rf /var/lib/apt/lists/*

# Install CPU-only PyTorch
RUN pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu

COPY . .

# Install WhisperLiveKit directly, allowing for optional dependencies
RUN if [ -n "$EXTRAS" ]; then \
      echo "Installing with extras: [$EXTRAS]"; \
      pip install --no-cache-dir whisperlivekit[$EXTRAS]; \
    else \
      echo "Installing base package only"; \
      pip install --no-cache-dir whisperlivekit; \
    fi

# Enable in-container caching for Hugging Face models
VOLUME ["/root/.cache/huggingface/hub"]

# Conditionally copy a local pre-cache from the build context
RUN if [ -n "$HF_PRECACHE_DIR" ]; then \
      echo "Copying Hugging Face cache from $HF_PRECACHE_DIR"; \
      mkdir -p /root/.cache/huggingface/hub && \
      cp -r $HF_PRECACHE_DIR/* /root/.cache/huggingface/hub; \
    else \
      echo "No local Hugging Face cache specified, skipping copy"; \
    fi

# Conditionally copy a Hugging Face token if provided
RUN if [ -n "$HF_TKN_FILE" ]; then \
      echo "Copying Hugging Face token from $HF_TKN_FILE"; \
      mkdir -p /root/.cache/huggingface && \
      cp $HF_TKN_FILE /root/.cache/huggingface/token; \
    else \
      echo "No Hugging Face token file specified, skipping token setup"; \
    fi
    
# Expose port for the transcription server
EXPOSE 8000

HEALTHCHECK --interval=30s --timeout=5s --start-period=120s --retries=3 \
    CMD python3 -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/')" || exit 1

ENTRYPOINT ["whisperlivekit-server", "--host", "0.0.0.0"]

# Default args - you might want to use a smaller model for CPU
CMD ["--model", "tiny"]