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#!/bin/bash
# 等待 rag_dynamic 实验完成后启动 topk5 新版本测试
echo "等待 rag_dynamic 实验完成..."
while true; do
# 检查是否有运行中的实验进程
if pgrep -f "rag_dynamic" > /dev/null; then
# 检查checkpoint进度
PROGRESS=$(cat collaborativeagents/results/rag_dynamic_test/*/rag_dynamic/checkpoint.json 2>/dev/null | python3 -c "
import json, sys
try:
data = json.load(sys.stdin)
total = sum(data['sessions_per_profile'].values())
print(f'{total}/1800')
except:
print('0/1800')
" 2>/dev/null)
echo "$(date '+%H:%M:%S') rag_dynamic 进度: $PROGRESS"
sleep 60
else
echo "rag_dynamic 已完成或未运行，启动 topk5_v2..."
break
fi
done
# 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_v2 \
> collaborativeagents/results/rag_topk5_v2.log 2>&1 &
echo "topk5_v2 已启动，PID: $!"
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