Dockerfile

# SuperKart Sales Forecasting API - Docker Configuration
# =====================================================

# Use Python 3.11 slim image for optimal size and compatibility
FROM python:3.11-slim

# Set environment variables
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1
ENV FLASK_APP=app.py
ENV FLASK_ENV=production

# Set working directory
WORKDIR /app

# Install system dependencies
RUN apt-get update \
    && apt-get install -y --no-install-recommends \
        gcc \
        g++ \
        curl \
    && rm -rf /var/lib/apt/lists/*

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

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

# Copy application files
COPY . .

# Create non-root user for security
RUN adduser --disabled-password --gecos '' appuser && chown -R appuser:appuser /app
USER appuser

# Expose port
EXPOSE 8080

# Health check
HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \
    CMD curl -f http://localhost:8080/health || exit 1

# Production command using Gunicorn
CMD ["gunicorn", "--bind", "0.0.0.0:8080", "--workers", "2", "--timeout", "120", "--keep-alive", "2", "--max-requests", "1000", "--max-requests-jitter", "100", "app:app"]

# Development command (commented out)
# CMD ["python", "app.py"]

# Container metadata
LABEL maintainer="SuperKart ML Team"
LABEL version="1.0"
LABEL description="SuperKart Sales Forecasting API"