Dockerfile.prod

# Production multi-stage Dockerfile
# Builds React frontend + Python API into a single image
#
# Usage:
#   docker build -f Dockerfile.prod -t story-analytics .
#   docker run -p 8000:8000 story-analytics
#
# NOTE: This is the PRODUCTION Dockerfile. For development, use Dockerfile.api.

# ──────────────────────────────────────────────────────────────
# Stage 1: Build React frontend
# ──────────────────────────────────────────────────────────────
FROM node:20-alpine AS frontend
WORKDIR /app

COPY app/package.json app/package-lock.json ./
RUN npm ci

COPY app/ ./
RUN npm run build

# ──────────────────────────────────────────────────────────────
# Stage 2: Python API + built SPA
# ──────────────────────────────────────────────────────────────
FROM python:3.11-slim AS production
WORKDIR /app

# System deps (gcc for C extensions, libpq-dev for psycopg2)
RUN apt-get update && apt-get install -y --no-install-recommends \
    gcc libpq-dev && \
    rm -rf /var/lib/apt/lists/*

COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

# Backend code
COPY api/ ./api/
COPY engine/ ./engine/

# Config files
COPY engine_config.yaml .
COPY brand_config.yaml .

# Built frontend (Vite outputs to dist/)
COPY --from=frontend /app/dist ./static/

# Seed data (for first-run / local mode)
COPY data/seed/ ./data/seed/

# Create data dir for local mode
RUN mkdir -p /app/data

# Default to local storage mode
ENV STORAGE_BACKEND=local
ENV DATABASE_URL=sqlite:///data/metadata.db

EXPOSE 8000
CMD ["sh", "-c", "echo '[startup] Container starting uvicorn...' && exec uvicorn api.main:app --host 0.0.0.0 --port 8000"]