Dockerfile

# AgriSense - Hugging Face Spaces Deployment
# Multi-stage build: Frontend (React) + Backend (FastAPI + Celery)
# Target: 16GB RAM Free Tier with Docker SDK

# ============================================================================
# Stage 1: Frontend Build (Node.js 20)
# ============================================================================
FROM node:20-slim AS frontend-builder

WORKDIR /frontend

# Copy frontend package files
COPY agrisense_app/frontend/farm-fortune-frontend-main/package*.json ./

# Install all dependencies including dev (vite, TypeScript, etc needed for build)
RUN npm install --legacy-peer-deps

# Copy frontend source code
COPY agrisense_app/frontend/farm-fortune-frontend-main/ ./

# Build production assets (outputs to dist/ with /ui/ base path)
RUN npm run build

# ============================================================================
# Stage 2: Backend Dependencies (Python 3.12)
# ============================================================================
FROM python:3.12-slim AS backend-builder

# Install system dependencies for ML libraries and compilation
RUN apt-get update && apt-get install -y --no-install-recommends \
    gcc g++ \
    libpq-dev \
    curl \
    git \
    && rm -rf /var/lib/apt/lists/*

WORKDIR /build

# Copy and install Python dependencies
COPY agrisense_app/backend/requirements.txt ./
RUN pip install --no-cache-dir --upgrade pip setuptools wheel && \
    pip install --no-cache-dir -r requirements.txt

# ============================================================================
# Stage 3: Production Runtime
# ============================================================================
FROM python:3.12-slim

# Install runtime dependencies only (minimal footprint)
RUN apt-get update && apt-get install -y --no-install-recommends \
    curl \
    procps \
    libgomp1 \
    && rm -rf /var/lib/apt/lists/*

# Create non-root user with UID 1000 (Hugging Face security requirement)
RUN groupadd -r agrisense -g 1000 && \
    useradd -r -u 1000 -g agrisense -m -d /home/agrisense agrisense

WORKDIR /home/agrisense/app

# Copy Python packages from builder stage
COPY --from=backend-builder /usr/local/lib/python3.12/site-packages /usr/local/lib/python3.12/site-packages
COPY --from=backend-builder /usr/local/bin /usr/local/bin

# Copy backend code with proper ownership
COPY --chown=agrisense:agrisense agrisense_app/backend/ ./backend/

# Copy ML models (if they exist in the build context)
COPY --chown=agrisense:agrisense ml_models* ./

# Copy frontend build artifacts to backend static directory
# This will be served by FastAPI at /ui
RUN mkdir -p ./backend/static/ui
COPY --from=frontend-builder --chown=agrisense:agrisense /frontend/dist/ ./backend/static/ui/

# Copy startup script
COPY --chown=agrisense:agrisense start.sh ./
RUN chmod +x start.sh

# Create necessary directories with proper permissions
RUN mkdir -p logs data celery_logs temp && \
    chown -R agrisense:agrisense logs data celery_logs temp

# Switch to non-root user
USER agrisense

# Environment variables
ENV PYTHONUNBUFFERED=1 \
    PYTHONDONTWRITEBYTECODE=1 \
    PATH="/home/agrisense/.local/bin:$PATH" \
    AGRISENSE_ENV=production \
    PORT=7860

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=90s --retries=3 \
    CMD curl -f http://localhost:7860/health || exit 1

# Expose Hugging Face Spaces required port
EXPOSE 7860

# Start services (Celery + Uvicorn)
CMD ["./start.sh"]