Dockerfile

# ============================================================
# StudyMate AI — Multi-stage Dockerfile
# Builds the React frontend (static assets) and serves it
# alongside the FastAPI backend, ready for AWS App Runner.
# ============================================================

# ---------- Stage 1: build the frontend ----------
FROM node:20-alpine AS frontend-build
WORKDIR /app

# Copy manifests first for better layer caching
COPY package.json package-lock.json ./
RUN npm ci

# Copy the rest of the frontend source and build
COPY . .
RUN npm run build

# ---------- Stage 2: build the backend image ----------
FROM python:3.11-slim AS backend

# Set environment so Python writes no .pyc files and flushes logs immediately
ENV PYTHONDONTWRITEBYTECODE=1 \
    PYTHONUNBUFFERED=1 \
    PORT=8000

WORKDIR /app

# Install backend dependencies
COPY backend/requirements.txt ./requirements.txt
RUN pip install --no-cache-dir -r requirements.txt

# Copy backend source
COPY backend/ ./

# Copy the built frontend static assets so FastAPI can optionally serve them
COPY --from=frontend-build /app/dist ./static

EXPOSE 8000

# Run the FastAPI server with uvicorn
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]