# Hugging Face Spaces Dockerfile
# Multi-stage build for Hugging Face deployment

# Stage 1: Build frontend
FROM node:20-alpine AS frontend-builder

WORKDIR /app/frontend

# Copy package files
COPY frontend/package*.json ./

# Install dependencies
RUN npm ci

# Copy frontend source
COPY frontend/ ./

# Build arguments for environment variables
# Hugging Face Spaces will provide the public URL
ARG VITE_API_BASE_URL
ENV VITE_API_BASE_URL=${VITE_API_BASE_URL}

# Build frontend
RUN npm run build

# Stage 2: Python backend with frontend
FROM python:3.11-slim

# Set working directory
WORKDIR /app

# Install system dependencies including ffmpeg
RUN apt-get update && \
    apt-get install -y --no-install-recommends \
    ffmpeg \
    && rm -rf /var/lib/apt/lists/*

# Copy requirements first for better caching
COPY requirements.txt .

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

# Copy application code
COPY . .

# Copy built frontend from builder stage
COPY --from=frontend-builder /app/frontend/dist ./frontend/dist

# Create storage directories
RUN mkdir -p storage/images storage/videos

# Hugging Face Spaces uses port 7860 by default
# But we'll use PORT env var if provided, or default to 7860
EXPOSE 7860

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
    CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:7860/health')"

# Run the application
# Hugging Face Spaces provides PORT env var, default to 7860
CMD python -c "import os; port = int(os.getenv('PORT', 7860)); import uvicorn; uvicorn.run('main:app', host='0.0.0.0', port=port)"