Dockerfile

# Synthetic Data Solution - Production Dockerfile

# Use Python 3.11 slim image
FROM python:3.11-slim as base

# Set environment variables
ENV PYTHONDONTWRITEBYTECODE=1 \
    PYTHONUNBUFFERED=1 \
    PYTHONFAULTHANDLER=1

# Set working directory
WORKDIR /app

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

# Install uv for fast dependency management
RUN pip install --no-cache-dir uv

# Copy dependency files
COPY pyproject.toml uv.lock ./

# Install production dependencies only
RUN uv sync --frozen --no-dev

# Production stage
FROM base as production

# Copy application code
COPY src/ ./src/
COPY config/ ./config/

# Create output directory with proper permissions
RUN mkdir -p /app/output && chmod 755 /app/output

# Create non-root user for security
RUN useradd --create-home --shell /bin/bash appuser && \
    chown -R appuser:appuser /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 the API server
CMD ["uv", "run", "uvicorn", "src.api.main:app", "--host", "0.0.0.0", "--port", "8000"]

# Development stage (for local development with hot reload)
FROM base as development

# Install dev dependencies
RUN uv sync --frozen

# Copy all files
COPY . .

# Expose port
EXPOSE 8000

# Run with reload for development
CMD ["uv", "run", "uvicorn", "src.api.main:app", "--host", "0.0.0.0", "--port", "8000", "--reload"]