Dockerfile

# Multi-stage Dockerfile for Diamond Price Predictor API
FROM python:3.9-slim as builder

# Set working directory
WORKDIR /app

# Install system dependencies
RUN apt-get update && apt-get install -y \
    gcc \
    g++ \
    make \
    && rm -rf /var/lib/apt/lists/*

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

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

# Production stage
FROM python:3.9-slim

# Set working directory
WORKDIR /app

# Install runtime dependencies
RUN apt-get update && apt-get install -y \
    curl \
    && rm -rf /var/lib/apt/lists/*

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

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

# Copy application code
COPY . .

# Create necessary directories
RUN mkdir -p logs artifacts data/processed models templates

# Set environment variables
ENV FLASK_APP=app.py
ENV FLASK_ENV=production
ENV FLASK_HOST=0.0.0.0
ENV FLASK_PORT=5000
ENV PYTHONPATH=/app/src

# Expose port
EXPOSE 5000

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
    CMD curl -f http://localhost:5000/api/v1/health || exit 1

# Create non-root user for security
RUN useradd -m -u 1001 appuser && chown -R appuser:appuser /app
USER appuser

# Run the application with gunicorn
CMD ["gunicorn", "--bind", "0.0.0.0:5000", "--workers", "4", "--timeout", "120", "app:app"]