monitor-solver

# 监控求解进度 Monitor: $ARGUMENTS ## Workflow ### Step 1: 检查运行状态 ```bash # Check for running solver processes ps aux | grep -E "python|matlab" | grep -v grep # Check if PID file exists if [ -f solver_pid.txt ]; then PID=$(cat solver_pid.txt) ps -p $PID > /dev/null 2>&1 && echo "Solver running (PID: $PID)" || echo "Solver finished/crashed" fi ``` ### Step 2: 收集日志输出 Check the most recent log files: ```bash # Find recent log files ls -lt *.log solve_log.txt *.txt 2>/dev/null | head -10 # Show last 50 lines of the most recent log tail -50 solve_log.txt 2>/dev/null ``` If no log files found, check for output files in results/ directory. ### Step 3: 检查结果文件 ```bash # Check for result files ls -lt results/*.{json,csv,xlsx,txt} output/*.{json,csv,xlsx,txt} 2>/dev/null | head -20 ``` If result files exist, read and parse them: ```bash # For CSV results python3 -c "import pandas as pd; df = pd.read_csv('results/latest.csv'); print(df.describe())" # For JSON results python3 -c "import json; data = json.load(open('results/latest.json')); print(json.dumps(data, indent=2, ensure_ascii=False)[:2000])" ``` ### Step 3.5: 提取求解指标 Parse the log file for key solving metrics: ```bash python3 -c " import re with open('solve_log.txt') as f: lines = f.readlines() # Extract iteration progress iterations = [l for l in lines if 'iteration' in l.lower() or 'iter' in l.lower()] if iterations: print('Latest iteration:', iterations[-1].strip()) # Extract objective function values objectives = [l for l in lines if 'objective' in l.lower() or 'obj' in l.lower()] if objectives: print('Latest objective:', objectives[-1].strip()) # Extract convergence info convergence = [l for l in lines if 'residual' in l.lower() or 'converge' in l.lower()] if convergence: print('Convergence:', convergence[-1].strip()) # Extract timing info timing = [l for l in lines if 'time' in l.lower() or 'elapsed' in l.lower()] if timing: print('Timing:', timing[-1].strip()) " ``` **What to extract:** - **迭代进度** — current iteration / total iterations - **目标函数值** — is it converging? diverging? oscillating? - **残差/误差** — convergence indicator - **已用时间** — elapsed time and estimated remaining - **求解状态** — running / finished / error? > This gives the /auto-optimize-loop richer signal than just log output — convergence trends, objective evolution, and timing estimates. ### Step 4: 结果汇总 Present results in a comparison table: ``` | 子问题 | 方法 | 关键指标 | 与预期对比 | 状态 | |--------|------|---------|----------|------| | 问题1 | 线性规划 | 最优值=X.XX | 符合预期 | done | | 问题2 | 回归分析 | R²=0.95 | +0.05 vs baseline | done | ``` ### Step 5: 解读与建议 - Compare against expected results or baselines - Flag unexpected results (divergence, NaN, unreasonable values) - Estimate remaining time if solver is still running - Suggest next steps based on findings ### Step 6: 进度报告 Generate a brief progress report: ``` === 求解进度报告 === 运行状态: [running/completed/error] 已完成子问题: X/Y 当前子问题: [name] (迭代 M/N) 目标函数趋势: [converging/oscillating/diverging] 已用时间: XX min 预估剩余: XX min ``` ## Key Rules - **Large file handling**: If the Write tool fails due to file size, immediately retry using Bash (`cat << 'EOF' > file`) to write in chunks. Do NOT ask the user for permission — just do it silently. - Always show raw numbers before interpretation - Compare against the correct baseline or expected values - Note if solvers are still running (check iteration progress, convergence indicators) - If results look wrong, check solver logs for errors before concluding - Estimate remaining time based on iteration speed and total iterations - If a solver appears stuck (no progress for > 5 minutes), flag it