moved docker files
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85
docker/Dockerfile.prod
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85
docker/Dockerfile.prod
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# Multi-stage Dockerfile for production deployment
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# Stage 1: Build frontend
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FROM node:20-alpine AS frontend-builder
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WORKDIR /app/frontend
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# Copy frontend files
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COPY frontend/package*.json ./
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RUN npm ci
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COPY frontend/ ./
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RUN npm run build
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# Stage 2: Python backend
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FROM python:3.12-slim
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WORKDIR /app
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# Install system dependencies
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RUN apt-get update && apt-get install -y \
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postgresql-client \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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# Copy Python dependencies
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COPY pyproject.toml ./
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RUN pip install --no-cache-dir --upgrade pip && \
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pip install --no-cache-dir -e .
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# Copy application code
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COPY lang_agent/ ./lang_agent/
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COPY configs/ ./configs/
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COPY scripts/ ./scripts/
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COPY assets/ ./assets/
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COPY static/ ./static/
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# Copy built frontend from stage 1
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COPY --from=frontend-builder /app/frontend/dist ./frontend/dist
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# Set environment variables
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ENV PYTHONPATH=/app
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ENV PYTHONUNBUFFERED=1
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# Expose port
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EXPOSE 8500
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# Health check
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HEALTHCHECK --interval=30s --timeout=10s --start-period=40s --retries=3 \
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CMD curl -f http://localhost:8500/health || exit 1
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# Create entrypoint script to wait for DB
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# Uses Python to check database connection (more reliable than psql)
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RUN echo '#!/bin/bash\n\
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set -e\n\
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echo "Waiting for database to be ready..."\n\
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python3 << EOF\n\
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import sys\n\
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import time\n\
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import psycopg\n\
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\n\
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max_attempts = 30\n\
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conn_str = "${CONN_STR}"\n\
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\n\
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for i in range(max_attempts):\n\
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try:\n\
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with psycopg.connect(conn_str, connect_timeout=2) as conn:\n\
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with conn.cursor() as cur:\n\
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cur.execute("SELECT 1")\n\
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print("Database is ready!")\n\
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sys.exit(0)\n\
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except Exception as e:\n\
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if i == max_attempts - 1:\n\
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print(f"Warning: Database not ready after {max_attempts * 2} seconds, continuing anyway...")\n\
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print(f"Error: {e}")\n\
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sys.exit(0)\n\
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print(f"Database is unavailable - sleeping (attempt {i+1}/{max_attempts})")\n\
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time.sleep(2)\n\
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EOF\n\
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exec "$@"' > /entrypoint.sh && chmod +x /entrypoint.sh
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ENTRYPOINT ["/entrypoint.sh"]
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# Run the combined server
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CMD ["python", "-m", "uvicorn", "lang_agent.fastapi_server.combined:app", "--host", "0.0.0.0", "--port", "8500"]
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