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# ─────────────────────────────────────────────────────────────────────────────
# ChessEcon — Full stack
#
# Services:
# backend — Python FastAPI WebSocket server (Qwen + GRPO)
# dashboard — React/Node.js dashboard (Manus web project)
#
# Quick start (GPU machine):
# cp backend/.env.example backend/.env # fill in HF_TOKEN etc.
# docker compose up --build
#
# The dashboard is served on port 3000.
# The backend WebSocket is on port 8000 (/ws).
# In LIVE mode the dashboard connects to ws://localhost:8000/ws
# (or set VITE_WS_URL to override).
# ─────────────────────────────────────────────────────────────────────────────
services:
# ── Python backend (Qwen + GRPO + WebSocket) ─────────────────────────────
backend:
build:
context: ./backend
dockerfile: Dockerfile
image: chessecon-backend:latest
container_name: chessecon-backend
restart: unless-stopped
ports:
- "8008:8000"
env_file:
- ./backend/.env # create from env-vars-reference.md
environment:
- DEVICE=auto # override with "cpu" if no GPU
- HOST=0.0.0.0
- PORT=8000
volumes:
- hf_cache:/app/.cache/huggingface # persist model weights
- checkpoints:/app/checkpoints # persist LoRA adapters
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
interval: 30s
timeout: 10s
retries: 5
start_period: 120s # allow time for model download
# ── React dashboard (Node.js dev server) ─────────────────────────────────
dashboard:
image: nginx:alpine
container_name: chessecon-dashboard
restart: unless-stopped
ports:
- "3006:80"
volumes:
- ./frontend/dist/public:/usr/share/nginx/html:ro
volumes:
hf_cache:
checkpoints:
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