Dockerfile

# PixIntelligence Dockerfile
# Multi-stage build for optimized image size

# Stage 1: Base image with system dependencies
FROM python:3.10-slim AS base

# Set working directory
WORKDIR /app

# Install system dependencies
RUN apt-get update && apt-get install -y \
    libgl1 \
    libglib2.0-0 \
    libsm6 \
    libxext6 \
    libxrender1 \
    libgomp1 \
    libgfortran5 \
    libmagic1 \
    git \
    curl \
    && rm -rf /var/lib/apt/lists/*

# Stage 2: Builder stage for Python dependencies
FROM base AS builder

# Copy requirements file
COPY requirements.txt .

# Install Python dependencies in a virtual environment
RUN python -m venv /opt/venv
ENV PATH="/opt/venv/bin:$PATH"

# Upgrade pip and install dependencies
RUN pip install --no-cache-dir --upgrade pip setuptools wheel && \
    pip install --no-cache-dir -r requirements.txt

# Stage 3: Final runtime image
FROM base

# Set environment variables
ENV PYTHONUNBUFFERED=1 \
    PYTHONDONTWRITEBYTECODE=1 \
    PATH="/opt/venv/bin:$PATH" \
    PIXINTELLIGENCE_HOST=0.0.0.0 \
    PIXINTELLIGENCE_PORT=8000

# Copy virtual environment from builder
COPY --from=builder /opt/venv /opt/venv

# Create necessary directories
RUN mkdir -p /app/src/data/uploads \
             /app/src/data/camera_fingerprints \
             /app/output \
             /app/logs

# Copy application code
COPY . /app/

# Install the package in development mode
RUN pip install -e .

# Make entrypoint script executable
RUN chmod +x /app/docker-entrypoint.sh

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

# Switch to non-root user
USER pixintel

# Expose port
EXPOSE 8000

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=40s --retries=3 \
    CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/').read()"

# Set entrypoint
ENTRYPOINT ["/app/docker-entrypoint.sh"]

# Default command: run web server
CMD ["pixintelligence", "serve", "--host", "0.0.0.0", "--port", "8000"]