167 lines
5.0 KiB
Python
167 lines
5.0 KiB
Python
#!/usr/bin/env python3
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"""
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调试监控器运行状态
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"""
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import psutil
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import sqlite3
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from pathlib import Path
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def check_main_process():
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"""检查主程序进程"""
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print("检查主程序进程")
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print("=" * 40)
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main_processes = []
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try:
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for proc in psutil.process_iter(['pid', 'name', 'cmdline']):
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try:
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if proc.info['name'] and 'python' in proc.info['name'].lower():
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cmdline = proc.info['cmdline']
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if cmdline and any('main.py' in arg for arg in cmdline):
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main_processes.append(proc)
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print(f"找到主程序: PID {proc.info['pid']}")
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print(f"命令行: {' '.join(cmdline)}")
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except (psutil.NoSuchProcess, psutil.AccessDenied):
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continue
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if not main_processes:
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print("ERROR 没有找到运行中的main.py进程")
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return False
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return True
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except Exception as e:
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print(f"ERROR 检查进程失败: {e}")
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return False
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def check_waiting_experiments():
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"""检查等待中的实验"""
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print("\n检查等待中的实验")
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print("=" * 40)
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try:
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db_path = Path(__file__).parent / "experiments.db"
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db = sqlite3.connect(str(db_path))
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cur = db.cursor()
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# 查询等待开始的实验
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cur.execute("""
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SELECT id, work_order_no, created_at, remark
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FROM experiments
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WHERE start_ts IS NULL
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ORDER BY id DESC
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LIMIT 10
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""")
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results = cur.fetchall()
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if results:
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print("等待开始的实验:")
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for row in results:
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exp_id, work_order, created_at, remark = row
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print(f" ID: {exp_id} - 工单: {work_order} - 创建: {created_at}")
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else:
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print("没有等待开始的实验")
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db.close()
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return results
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except Exception as e:
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print(f"ERROR 检查失败: {e}")
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return []
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def check_recent_influx_data():
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"""检查最近的InfluxDB数据"""
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print("\n检查最近的InfluxDB数据")
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print("=" * 40)
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try:
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import json
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from influxdb_client import InfluxDBClient
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# 加载配置
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with open("default.json", 'r', encoding='utf-8') as f:
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config = json.load(f)
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influx_config = config.get('influx', {})
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client = InfluxDBClient(
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url=influx_config.get('url', 'http://127.0.0.1:8086'),
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token=influx_config.get('token', ''),
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org=influx_config.get('org', 'MEASCON')
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)
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# 查询最近的数据
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query = '''
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from(bucket: "PCM")
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|> range(start: -30m)
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|> filter(fn: (r) => r["_measurement"] == "PCM_Measurement")
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|> filter(fn: (r) => r["data_type"] == "Breaker")
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|> filter(fn: (r) => r["_field"] == "load_status")
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|> sort(columns: ["_time"], desc: true)
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|> limit(n: 5)
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'''
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result = client.query_api().query(query)
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if result:
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print("最近30分钟的load_status数据:")
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for table in result:
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for record in table.records:
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print(f" 时间: {record.get_time()}")
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print(f" 值: {record.get_value()}")
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print("-" * 20)
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else:
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print("没有找到最近的数据")
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client.close()
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except Exception as e:
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print(f"ERROR 检查InfluxDB失败: {e}")
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def main():
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print("监控器运行状态调试")
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print("=" * 50)
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# 1. 检查主程序是否运行
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is_running = check_main_process()
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# 2. 检查等待中的实验
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waiting_experiments = check_waiting_experiments()
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# 3. 检查最近的数据
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check_recent_influx_data()
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print("\n" + "=" * 50)
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print("诊断结果:")
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if not is_running:
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print("❌ 主程序未运行")
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print("解决方案: 启动主程序 python main.py")
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else:
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print("✅ 主程序正在运行")
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if not waiting_experiments:
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print("❌ 没有等待开始的实验")
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print("解决方案: 在UI中创建新工单并进入等待状态")
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else:
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print(f"✅ 有 {len(waiting_experiments)} 个等待开始的实验")
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print("监控器应该正在监控这些实验")
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if is_running and waiting_experiments:
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print("\n可能的问题:")
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print("1. 监控器配置错误（measurement、field、data_type不匹配）")
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print("2. 监控器没有正确启动")
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print("3. 监控器查询逻辑有问题")
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print("4. 时间戳问题导致查询不到数据")
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print("\n建议:")
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print("1. 检查监控器日志输出")
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print("2. 在UI中手动刷新实验列表")
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print("3. 重启程序并重新测试")
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if __name__ == "__main__":
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main()
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