Dockerfile

# Y-Connect WhatsApp Bot - Production Dockerfile
# Multi-stage build for optimized image size with CPU-only PyTorch

# Stage 1: Builder
FROM python:3.11-slim as builder

# Set working directory
WORKDIR /app

# Install system dependencies for building Python packages
RUN apt-get update && apt-get install -y --no-install-recommends \
    gcc \
    g++ \
    libpq-dev \
    && rm -rf /var/lib/apt/lists/*

# Copy requirements file
COPY requirements.txt .

# Install Python dependencies with CPU-only PyTorch
# The --extra-index-url in requirements.txt will pull CPU-only versions
RUN pip install --no-cache-dir --user -r requirements.txt

# Stage 2: Runtime
FROM python:3.11-slim

# Set working directory
WORKDIR /app

# Install runtime dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    libpq5 \
    curl \
    && rm -rf /var/lib/apt/lists/*

# Copy Python dependencies from builder
COPY --from=builder /root/.local /root/.local

# Make sure scripts in .local are usable
ENV PATH=/root/.local/bin:$PATH

# Copy application code
COPY app/ ./app/
COPY scripts/ ./scripts/
COPY data/ ./data/

# Create non-root user for security
RUN useradd -m -u 1000 appuser && \
    chown -R appuser:appuser /app

# Switch to non-root user
USER appuser

# Expose port
EXPOSE 8000

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=40s --retries=3 \
    CMD curl -f http://localhost:8000/health || exit 1

# Run the application
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000", "--workers", "4"]