Dockerfile

# ──────────────────────────────────────────────────
# OptiQ — Full-stack Docker image for Hugging Face Spaces
# Multi-stage: Node (frontend build) → Python (backend)
# ──────────────────────────────────────────────────

# ── Stage 1: Build the React frontend ────────────
FROM node:20-alpine AS frontend
WORKDIR /app/frontend
COPY frontend/package*.json ./
RUN if [ -f package-lock.json ]; then npm ci --no-audit --no-fund; else npm install --no-audit --no-fund; fi
COPY frontend/ .
RUN npm run build

# ── Stage 2: Python backend + built frontend ─────
FROM python:3.12-slim
WORKDIR /app

# System dependencies needed by some Python packages (pandapower, scipy, etc.)
RUN apt-get update && \
    apt-get install -y --no-install-recommends gcc g++ && \
    rm -rf /var/lib/apt/lists/*

# Install PyTorch CPU first (not in requirements.txt — installed via conda locally)
RUN pip install --no-cache-dir torch --index-url https://download.pytorch.org/whl/cpu

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

# Copy application source
COPY api/ api/
COPY src/ src/
COPY config.py .

# Copy pre-trained model checkpoint if it exists (models/ may only contain .gitkeep)
COPY models/ models/

# Copy built frontend from Stage 1
COPY --from=frontend /app/frontend/dist frontend/dist/

# Create writable directory for SQLite database
RUN mkdir -p /app/data

# HF Spaces requires port 7860
ENV PORT=7860
EXPOSE 7860

# Run the application
CMD ["python", "-m", "uvicorn", "api.main:app", "--host", "0.0.0.0", "--port", "7860"]