Dockerfile

# Use the official Python 3.11 image directly, since pydantic-core works well on 3.11
FROM python:3.11-slim

# Build argument for port configuration (default: 7860 for HF Spaces)
ARG PORT=7860

# Set working directory
WORKDIR /app

# Set environment variables for Python
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1
ENV PYTHONPATH=/app
ENV PORT=${PORT}
ENV WEB_CONCURRENCY=2

# Install system dependencies (needed for compiling some python packages if wheels aren't available)
# Also include curl for health checks
RUN apt-get update && apt-get install -y --no-install-recommends \
    build-essential \
    default-libmysqlclient-dev \
    pkg-config \
    curl \
    && rm -rf /var/lib/apt/lists/*

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

# Copy the entire backend application into the container
COPY . /app

# Create directories for logs and temporary files
RUN mkdir -p /app/logs /app/tmp && chmod 755 /app/logs /app/tmp

# Expose the API port (default 7860 for HuggingFace Spaces)
EXPOSE ${PORT}

# Health check: Verify the API is responding
HEALTHCHECK --interval=30s --timeout=10s --start-period=40s --retries=3 \
    CMD curl -f http://localhost:${PORT}/docs || exit 1

# Start Uvicorn
# Using the PORT environment variable allows flexibility in port configuration
CMD ["sh", "-c", "uvicorn app.main:app --host 0.0.0.0 --port ${PORT} --workers ${WEB_CONCURRENCY}"]