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path: root/collaborativeagents/scripts/queue_reflection_60s.sh
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#!/bin/bash
# 等待 rag_vector_v3 完成后启动 reflection 60 session 实验

echo "等待 rag_vector_v3 完成..."

while true; do
    CKPT=$(ls collaborativeagents/results/rag_vector_v3/*/rag_vector/checkpoint.json 2>/dev/null | head -1)
    if [ -n "$CKPT" ]; then
        PROGRESS=$(cat "$CKPT" | python3 -c "
import json, sys
data = json.load(sys.stdin)
total = sum(data['sessions_per_profile'].values())
print(total)
" 2>/dev/null)
        
        if [ "$PROGRESS" = "1800" ]; then
            echo "$(date '+%H:%M:%S') rag_vector_v3 已完成"
            break
        fi
        echo "$(date '+%H:%M:%S') rag_vector_v3 进度: $PROGRESS/1800"
    else
        echo "$(date '+%H:%M:%S') 等待rag_vector_v3启动..."
    fi
    sleep 60
done

echo "启动 reflection_60s..."

nohup python collaborativeagents/scripts/run_experiments.py \
    --methods reflection \
    --datasets math-hard,math-500,bigcodebench \
    --n-profiles 60 \
    --n-sessions 60 \
    --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/reflection_60s \
    > collaborativeagents/results/reflection_60s.log 2>&1 &

echo "reflection_60s 已启动,PID: $!"