184 lines
5.4 KiB
Python
184 lines
5.4 KiB
Python
#!/usr/bin/env python3
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"""
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调试监控器状态
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"""
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import sys
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import os
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import datetime
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sys.path.append(os.path.dirname(__file__))
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from experiment_monitor import ExperimentStateMonitor
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from influx_service import InfluxService, InfluxConnectionParams
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from config_model import AppConfig
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from pathlib import Path
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def check_recent_data():
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"""检查最近的数据"""
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print("🔍 检查最近的InfluxDB数据")
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# 加载配置
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config_path = Path("default.json")
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config = AppConfig.load(config_path)
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# 创建InfluxDB服务
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params = InfluxConnectionParams(
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url=config.influx.url,
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org=config.influx.org,
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token=config.influx.token
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)
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service = InfluxService(params)
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bucket = getattr(config.influx, 'bucket', 'PCM')
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measurement = getattr(config.influx, 'measurement', 'experiment_status')
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try:
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# 查询最近10分钟的数据
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df = service.query(
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bucket=bucket,
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measurement=measurement,
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fields=['status'],
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filters={},
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time_range="-10m"
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)
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if df.empty:
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print("❌ 最近10分钟没有数据")
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return []
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print(f"✅ 找到 {len(df)} 条数据")
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# 按时间排序并显示
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if '_time' in df.columns and '_value' in df.columns:
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df_sorted = df.sort_values('_time')
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data_points = []
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print("📊 最近的数据:")
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for _, row in df_sorted.iterrows():
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time_str = row['_time'].strftime('%H:%M:%S')
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value = row['_value']
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print(f" {time_str}: status = {value}")
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data_points.append((row['_time'], value))
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return data_points
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else:
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print("❌ 数据格式异常")
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return []
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except Exception as e:
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print(f"❌ 查询失败: {e}")
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return []
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def simulate_monitor_detection(data_points):
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"""模拟监控器的状态检测逻辑"""
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print("\n🤖 模拟监控器状态检测")
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if len(data_points) < 2:
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print("❌ 数据点不足，无法检测状态变化")
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return
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print("🔍 检测状态变化:")
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prev_state = None
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for i, (timestamp, state) in enumerate(data_points):
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time_str = timestamp.strftime('%H:%M:%S')
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if prev_state is None:
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print(f" {time_str}: 初始状态 = {state}")
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else:
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if prev_state != state:
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print(f" {time_str}: 状态变化 {prev_state} -> {state} ⚡")
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# 判断是开始还是结束
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if prev_state == '0' and state == '1':
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print(f" 🟢 检测到实验开始!")
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elif prev_state == '1' and state == '0':
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print(f" 🔴 检测到实验结束!")
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else:
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print(f" {time_str}: 状态保持 = {state}")
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prev_state = state
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def test_monitor_functionality():
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"""测试监控器功能"""
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print("\n🧪 测试监控器功能")
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# 加载配置
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config_path = Path("default.json")
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config = AppConfig.load(config_path)
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# 创建监控器配置
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influx_params = InfluxConnectionParams(
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url=config.influx.url,
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org=config.influx.org,
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token=config.influx.token
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)
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query_config = {
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'bucket': getattr(config.influx, 'bucket', 'PCM'),
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'measurement': getattr(config.influx, 'measurement', 'experiment_status'),
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'fields': ['status'],
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'filters': {},
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'status_field': 'status',
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'status_values': {
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'start': '1',
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'end': '0'
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}
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}
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print(f"📋 监控器配置:")
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for key, value in query_config.items():
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print(f" {key}: {value}")
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try:
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# 创建监控器实例
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monitor = ExperimentStateMonitor(
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experiment_id=999,
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work_order_no="TEST001",
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influx_params=influx_params,
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query_config=query_config,
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start_time=datetime.datetime.now() - datetime.timedelta(hours=1),
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on_state_changed=lambda old_state, new_state: print(f"📢 状态变化回调: {old_state} -> {new_state}")
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)
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print("✅ 监控器创建成功")
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# 测试查询当前状态
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current_state = monitor._query_current_state()
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print(f"🎯 当前状态: {current_state}")
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# 清理
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monitor.stop()
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return True
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except Exception as e:
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print(f"❌ 监控器测试失败: {e}")
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import traceback
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traceback.print_exc()
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return False
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def main():
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print("监控器状态调试工具")
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print("=" * 40)
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# 1. 检查最近的数据
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data_points = check_recent_data()
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# 2. 模拟状态检测
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if data_points:
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simulate_monitor_detection(data_points)
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# 3. 测试监控器功能
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test_monitor_functionality()
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print("\n💡 如果监控器没有检测到状态变化，可能的原因:")
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print("1. 程序没有启动监控功能（需要点击'开始工单'）")
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print("2. 监控器轮询间隔太长，还没有检查到新数据")
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print("3. 监控器配置有误")
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print("4. 程序日志中有错误信息")
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if __name__ == "__main__":
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main()
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