# Build Stage for React Frontend
FROM node:18-alpine as build
WORKDIR /app/frontend
COPY frontend/package*.json ./
# Use strict helper to avoid hanging on optional deps
RUN npm install --include=dev 
COPY frontend/ .
RUN npm run build

# Runtime Stage
FROM python:3.10-slim

# Set up user properly for HF Spaces (user 1000)
RUN useradd -m -u 1000 user
USER user
ENV PATH="/home/user/.local/bin:$PATH"

WORKDIR /app

# -- Environment Configuration --
# DEMO_MODE=true uses simulated MST-aware responses (no model loading required)
# For production/GPU, set DEMO_MODE=false to load actual MedGemma model
ENV DEMO_MODE="false"
ENV LOCAL_MODEL_PATH="NurseCitizenDeveloper/ewaast-medgemma-1.5-4b"
ENV USE_LOCAL_MODEL="true"
ENV FLASK_ENV="production"
ENV PORT=7860

# Copy requirements and install Python deps
COPY --chown=user requirements.txt requirements.txt
RUN pip install --no-cache-dir --upgrade pip && \
    pip install --no-cache-dir -r requirements.txt

# Copy Flask App code
COPY --chown=user . .

# Copy built React assets from Stage 1
# ewaast_app.py uses frontend/build as static folder, so copy entire build there
COPY --chown=user --from=build /app/frontend/build ./frontend/build
# Copy public/assets folder (patient data JSON, patient images) into the build folder
COPY --chown=user frontend/public/assets ./frontend/build/assets

# Expose port (HF Spaces uses 7860)
EXPOSE 7860

# Start the Flask app (ewaast_app.py has the stream_assessment endpoint)
CMD ["python", "ewaast_app.py"]