# Use a slim Python image
FROM python:3.11-slim

# Set environment variables
ENV PYTHONUNBUFFERED=1 \
    PYTHONDONTWRITEBYTECODE=1 \
    PYTHONPATH=.

# Set working directory
WORKDIR /app

# Install system dependencies needed for compiling python packages
RUN apt-get update && apt-get install -y --no-install-recommends \
    build-essential \
    curl \
    && rm -rf /var/lib/apt/lists/*

# Copy pyproject.toml and source files
COPY pyproject.toml /app/
COPY README.md /app/

# Install dependencies
RUN pip install --upgrade pip && \
    pip install --no-cache-dir torch --index-url https://download.pytorch.org/whl/cpu && \
    pip install .

# Pre-download the DeBERTa-v3-large NLI cross-encoder at build time so cold
# starts don't re-fetch 1.6GB on the first request.
RUN python -c "from sentence_transformers import CrossEncoder; CrossEncoder('cross-encoder/nli-deberta-v3-large')"


# Copy the rest of the application
COPY . /app

# Seed the database with demo runs
RUN python scripts/seed_demo.py

# Expose backend port
EXPOSE 8000

# Start FastAPI server
CMD ["sh", "-c", "uvicorn api.app:app --host 0.0.0.0 --port ${PORT:-8000}"]