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e4d7d50 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 | #!/bin/bash
# ─────────────────────────────────────────────────────────────────────────────
# ChessEcon Docker Entrypoint
#
# Modes (CMD argument):
# backend — Start the FastAPI server (default)
# train — Run the RL training loop
# selfplay — Run self-play data collection only (no training)
# download — Download the HuggingFace model and exit
# demo — Run a quick 3-game demo and exit
# ─────────────────────────────────────────────────────────────────────────────
set -euo pipefail
MODE="${1:-backend}"
echo "╔══════════════════════════════════════════════════════════════╗"
echo "║ ChessEcon — Multi-Agent Chess RL ║"
echo "║ TextArena + Meta OpenEnv + GRPO | Hackathon 2026 ║"
echo "╚══════════════════════════════════════════════════════════════╝"
echo ""
echo "Mode: $MODE"
echo "Model: ${PLAYER_MODEL:-Qwen/Qwen2.5-0.5B-Instruct}"
echo "RL Method: ${RL_METHOD:-grpo}"
echo ""
# ── Validate required environment variables ───────────────────────────────
check_env() {
local var_name="$1"
local required="${2:-false}"
if [ -z "${!var_name:-}" ]; then
if [ "$required" = "true" ]; then
echo "ERROR: Required environment variable $var_name is not set."
echo " Please set it in your .env file or Docker environment."
exit 1
else
echo "WARNING: Optional variable $var_name is not set."
fi
fi
}
# Always required
check_env "HF_TOKEN" "true"
# Required for Claude coaching
if [ "${ENABLE_CLAUDE_COACHING:-true}" = "true" ]; then
check_env "ANTHROPIC_API_KEY" "true"
fi
# ── Download model from HuggingFace if not cached ────────────────────────
MODEL_NAME="${PLAYER_MODEL:-Qwen/Qwen2.5-0.5B-Instruct}"
MODEL_CACHE_DIR="/app/models/$(echo $MODEL_NAME | tr '/' '_')"
if [ ! -d "$MODEL_CACHE_DIR" ] || [ "${FORCE_DOWNLOAD:-false}" = "true" ]; then
echo "Downloading model: $MODEL_NAME"
echo "Cache directory: $MODEL_CACHE_DIR"
python3 -c "
from huggingface_hub import snapshot_download
import os
snapshot_download(
repo_id='${MODEL_NAME}',
local_dir='${MODEL_CACHE_DIR}',
token=os.environ.get('HF_TOKEN'),
ignore_patterns=['*.bin', '*.pt'] if os.environ.get('USE_SAFETENSORS', 'true') == 'true' else []
)
print('Model downloaded successfully.')
"
echo "Model ready at: $MODEL_CACHE_DIR"
else
echo "Model already cached at: $MODEL_CACHE_DIR"
fi
export MODEL_LOCAL_PATH="$MODEL_CACHE_DIR"
# ── Execute the requested mode ────────────────────────────────────────────
case "$MODE" in
backend)
echo ""
echo "Starting ChessEcon API server on port ${PORT:-8000}..."
echo "Dashboard: http://localhost:${PORT:-8000}"
echo "API docs: http://localhost:${PORT:-8000}/docs"
echo "WebSocket: ws://localhost:${PORT:-8000}/ws"
echo ""
exec python3 -m uvicorn backend.main:app \
--host 0.0.0.0 \
--port "${PORT:-8000}" \
--workers "${WORKERS:-1}" \
--log-level "${LOG_LEVEL:-info}"
;;
train)
echo ""
echo "Starting RL training..."
echo "Method: ${RL_METHOD:-grpo}"
echo "Games per batch: ${GAMES_PER_BATCH:-8}"
echo "Training steps: ${MAX_TRAINING_STEPS:-1000}"
echo ""
exec python3 -m training.run \
--method "${RL_METHOD:-grpo}" \
--model-path "$MODEL_LOCAL_PATH" \
--games-per-batch "${GAMES_PER_BATCH:-8}" \
--max-steps "${MAX_TRAINING_STEPS:-1000}" \
--output-dir "/app/data/training" \
--log-dir "/app/logs"
;;
selfplay)
echo ""
echo "Starting self-play data collection..."
echo "Games: ${SELFPLAY_GAMES:-100}"
echo ""
exec python3 -m training.run \
--method selfplay \
--model-path "$MODEL_LOCAL_PATH" \
--games "${SELFPLAY_GAMES:-100}" \
--output-dir "/app/data/games"
;;
download)
echo "Model download complete. Exiting."
exit 0
;;
demo)
echo ""
echo "Running 3-game demo..."
exec python3 -c "
import asyncio
import sys
sys.path.insert(0, '/app')
from backend.chess.engine import ChessEngine
from backend.economy.ledger import EconomicConfig, WalletManager, TournamentOrganizer
async def run_demo():
config = EconomicConfig()
wallets = WalletManager(config)
wallets.create_wallet('white', 100.0)
wallets.create_wallet('black', 100.0)
organizer = TournamentOrganizer(config, wallets)
for game_num in range(1, 4):
print(f'\n--- Game {game_num} ---')
engine = ChessEngine()
game_id = organizer.open_game('white', 'black')
print(f'Game ID: {game_id}')
print(f'Prize pool: {organizer.games[game_id].prize_pool}')
move_count = 0
while not engine.is_game_over() and move_count < 20:
legal = engine.get_legal_moves()
if not legal:
break
import random
move = random.choice(legal)
engine.make_move(move)
move_count += 1
result = engine.get_result() or '1/2-1/2'
winner = 'white' if result == '1-0' else ('black' if result == '0-1' else None)
payout = organizer.close_game(game_id, winner)
print(f'Result: {result} | White: {payout[\"white\"]:.1f} | Black: {payout[\"black\"]:.1f}')
print(f'Wallets — White: {wallets.get_balance(\"white\"):.1f} | Black: {wallets.get_balance(\"black\"):.1f}')
print('\nDemo complete.')
asyncio.run(run_demo())
"
;;
*)
echo "Unknown mode: $MODE"
echo "Valid modes: backend | train | selfplay | download | demo"
exit 1
;;
esac
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