# Dockerfile for KUMPAS RAG — Hugging Face Spaces
FROM python:3.11-slim

# System dependencies for faiss-cpu and sentence-transformers
RUN apt-get update && apt-get install -y \
    build-essential \
    curl \
    git \
    && rm -rf /var/lib/apt/lists/*

# Working directory
WORKDIR /app

# Copy requirements first (Docker layer caching — faster rebuilds)
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

# Copy application files
COPY app.py .

# Copy your Harry Potter text file
COPY harrypotter.txt .

# HF Spaces runs on port 7860
EXPOSE 7860

# Predownload the embedding model at build time
# (so the first request isn't slow)
RUN python -c "from sentence_transformers import SentenceTransformer; SentenceTransformer('all-MiniLM-L6-v2')"

# Start the server
CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860", "--workers", "1"]