#!/bin/bash
# 等待 reflection_v2 实验完成后启动 topk5_v3 测试

echo "等待 reflection_v2 实验完成..."

while true; do
    # 检查checkpoint进度
    CKPT=$(ls collaborativeagents/results/reflection_v2/*/reflection/checkpoint.json 2>/dev/null | head -1)
    if [ -n "$CKPT" ]; then
        PROGRESS=$(cat "$CKPT" | python3 -c "
import json, sys
try:
    data = json.load(sys.stdin)
    total = sum(data['sessions_per_profile'].values())
    print(f'{total}/1800 ({total*100//1800}%)')
except:
    print('0/1800')
" 2>/dev/null)
        
        # 检查是否完成
        DONE=$(echo "$PROGRESS" | grep -c "1800/1800")
        if [ "$DONE" -eq 1 ]; then
            echo "$(date '+%H:%M:%S') reflection_v2 已完成"
            break
        fi
        echo "$(date '+%H:%M:%S') reflection_v2 进度: $PROGRESS"
    else
        echo "$(date '+%H:%M:%S') 等待reflection_v2启动..."
    fi
    sleep 60
done

echo "启动 topk5_v3..."

# 启动新实验
nohup python collaborativeagents/scripts/run_experiments.py \
    --methods rag \
    --datasets math-hard,math-500,bigcodebench \
    --n-profiles 60 \
    --n-sessions 30 \
    --max-turns 10 \
    --use-vllm \
    --vllm-agent-url http://localhost:8003/v1 \
    --vllm-user-url http://localhost:8004/v1 \
    --use-batch-processing \
    --batch-size 4 \
    --parallel-profiles 20 \
    --profile-path collaborativeagents/data/complex_profiles_v2/profiles_200.jsonl \
    --output-dir collaborativeagents/results/rag_topk5_v3 \
    > collaborativeagents/results/rag_topk5_v3.log 2>&1 &

echo "topk5_v3 已启动，PID: $!"