# Dockerfile for HuggingFace Spaces deployment
FROM python:3.11-slim

WORKDIR /app

# Install system dependencies for sqlite
RUN apt-get update && apt-get install -y \
    build-essential \
    && rm -rf /var/lib/apt/lists/*

# Install pysqlite3 for HuggingFace Spaces
RUN pip install pysqlite3-binary

# Copy dependency files
COPY pyproject.toml uv.lock* ./

# Install uv (Python package manager)
RUN pip install uv

# Install dependencies
RUN uv pip install --system -r pyproject.toml || \
    pip install -r requirements.txt || \
    uv pip install --system gradio langchain langchain-community langchain-core chromadb sentence-transformers requests python-dotenv langchain-huggingface langchain-openai openai tiktoken fastapi uvicorn python-multipart pysqlite3-binary

# Copy application files
COPY . .

# Create db directory if it doesn't exist
RUN mkdir -p db multiple_docs game

# Set environment variables (can be overridden in HF Spaces)
ENV PORT=7860
ENV HF_TOKEN=${HF_TOKEN}
ENV HF_MODEL_NAME=${HF_MODEL_NAME:-meta-llama/Llama-3.1-8B-Instruct:novita}

# Expose port
EXPOSE 7860

# Run FastAPI with uvicorn (HuggingFace Spaces uses port 7860)
CMD python -c "import sys, os; sys.path.insert(0, '.'); from game_api import app; import uvicorn; port = int(os.getenv('PORT', 7860)); uvicorn.run(app, host='0.0.0.0', port=port)"