Dockerfile.apprunner

# Dockerfile optimized for AWS App Runner
FROM python:3.11-slim

WORKDIR /opt/app

# Install system dependencies
RUN apt-get update && apt-get install -y \
    build-essential \
    curl \
    gcc \
    g++ \
    libc6-dev \
    && rm -rf /var/lib/apt/lists/*

# Copy requirements first for better caching
COPY requirements.txt .

# Install Python dependencies with pandas fix
RUN pip install --no-cache-dir --upgrade pip && \
    pip install --no-cache-dir numpy && \
    pip install --no-cache-dir --no-binary pandas pandas && \
    pip install --no-cache-dir -r requirements.txt

# Copy application code
COPY . .

# Create necessary directories
RUN mkdir -p data/eea/renewable-energy data/eea/pollution logs reference

# Set environment variables
ENV FLASK_ENV=production
ENV FLASK_DEBUG=0
ENV PYTHONPATH=/opt/app
ENV PYTHONUNBUFFERED=1
ENV PORT=8000

# Create non-root user
RUN useradd --create-home --shell /bin/bash appuser && \
    chown -R appuser:appuser /opt/app
USER appuser

# Expose port
EXPOSE 8000

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
    CMD curl -f http://localhost:8000/health || exit 1

# Run application
CMD ["python", "run_server.py"]