# Use the official lightweight Python image.
# https://hub.docker.com/_/python
FROM python:3.9-slim

# Set the working directory to /app
WORKDIR /app

# Copy the requirements file into the container at /app
COPY requirements.txt .

# Install any needed packages specified in requirements.txt
RUN pip install --no-cache-dir -r requirements.txt

# Copy the rest of the application code
COPY . .

# Create the SQLite database directory permissions if needed (HF spaces are writable in /app)
# But standard SQLite file in CWD is fine.

# Make sure the model is generated during build or on startup
# We run the training script during build to ensure model.pkl exists
RUN python -c "import model; model.train_model()"

# Expose port 7860 (Hugging Face Spaces default port)
EXPOSE 7860

# Run commands to start the server
# binding to 0.0.0.0 is crucial for Docker containers
CMD ["python", "app.py"]