# Use a slim Python image
FROM python:3.10-slim

# Install g++ and OpenMP for the C++ code
RUN apt-get update && apt-get install -y \
    g++ \
    libomp-dev \
    && rm -rf /var/lib/apt/lists/*

# Set the working directory
WORKDIR /app

# Copy all your files into the container
COPY . /app

# Compile the C++ inference engine. 
# IMPORTANT: I removed `-mavx2` for compatibility on Hugging Face's free tier.
# It can cause issues on some cloud CPUs. We are generating a Linux binary called 'inference'.
RUN g++ -O3 -march=native -fopenmp -mfma -std=c++17 inference.cpp -o inference -lm

# Make the compiled binary executable
RUN chmod +x inference

# Install your Python requirements
RUN pip install --no-cache-dir -r requirements.txt

# Create a user to run the app (HF requirement for some spaces)
RUN useradd -m appuser && chown -R appuser /app
USER appuser

# Expose port 7860 (Hugging Face standard)
EXPOSE 7860

# Command to run your FastAPI app
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]