PCM_Report/test_load_status_integer.py

#!/usr/bin/env python3
"""
测试load_status字段写入整数数据
"""

import json
import os
from influxdb_client import InfluxDBClient, Point
from influxdb_client.client.write_api import SYNCHRONOUS
import datetime

def load_config():
    """从default.json加载配置"""
    config_path = os.path.join(os.path.dirname(__file__), "default.json")
    try:
        with open(config_path, 'r', encoding='utf-8') as f:
            config = json.load(f)
        return config.get('influx', {})
    except Exception as e:
        print(f"加载配置文件失败: {e}")
        return {}

def clear_old_load_status_data():
    """清理旧的load_status数据"""
    print("清理旧的load_status数据")
    print("=" * 40)
    
    influx_config = load_config()
    
    try:
        client = InfluxDBClient(
            url=influx_config.get('url', 'http://127.0.0.1:8086'),
            token=influx_config.get('token', ''),
            org=influx_config.get('org', 'MEASCON')
        )
        
        bucket = influx_config.get('bucket', 'PCM')
        measurement = influx_config.get('measurement', 'PCM_Measurement')
        
        # 删除最近1小时的load_status数据
        from influxdb_client.client.delete_api import DeleteApi
        delete_api = client.delete_api()
        
        start = datetime.datetime.now(datetime.timezone.utc) - datetime.timedelta(hours=1)
        stop = datetime.datetime.now(datetime.timezone.utc)
        
        # 删除指定measurement和field的数据
        predicate = f'_measurement="{measurement}" AND _field="load_status" AND data_type="Breaker"'
        
        try:
            delete_api.delete(
                start=start,
                stop=stop,
                predicate=predicate,
                bucket=bucket,
                org=influx_config.get('org', 'MEASCON')
            )
            print("OK 已清理旧的load_status数据")
        except Exception as e:
            print(f"WARNING 清理失败 (可能不支持删除): {e}")
        
        client.close()
        
    except Exception as e:
        print(f"ERROR 清理失败: {e}")

def write_integer_load_status():
    """写入整数类型的load_status数据"""
    print("\n写入整数类型的load_status数据")
    print("=" * 40)
    
    influx_config = load_config()
    
    try:
        client = InfluxDBClient(
            url=influx_config.get('url', 'http://127.0.0.1:8086'),
            token=influx_config.get('token', ''),
            org=influx_config.get('org', 'MEASCON')
        )
        write_api = client.write_api(write_options=SYNCHRONOUS)
        
        measurement = influx_config.get('measurement', 'PCM_Measurement')
        bucket = influx_config.get('bucket', 'PCM')
        
        now = datetime.datetime.now(datetime.timezone.utc)
        
        # 写入测试数据序列
        test_data = [
            (now - datetime.timedelta(minutes=5), 0, "5分钟前: 状态0"),
            (now - datetime.timedelta(minutes=3), 1, "3分钟前: 状态1"),
            (now - datetime.timedelta(minutes=1), 0, "1分钟前: 状态0"),
            (now, 1, "现在: 状态1"),
        ]
        
        for timestamp, value, description in test_data:
            point = Point(measurement) \
                .tag("data_type", "Breaker") \
                .field("load_status", value) \
                .time(timestamp)
            
            write_api.write(bucket=bucket, record=point)
            print(f"OK {description} - load_status = {value} (整数)")
        
        client.close()
        
    except Exception as e:
        print(f"ERROR 写入失败: {e}")

def verify_integer_data():
    """验证写入的数据类型"""
    print("\n验证写入的数据类型")
    print("=" * 40)
    
    influx_config = load_config()
    
    try:
        client = InfluxDBClient(
            url=influx_config.get('url', 'http://127.0.0.1:8086'),
            token=influx_config.get('token', ''),
            org=influx_config.get('org', 'MEASCON')
        )
        
        measurement = influx_config.get('measurement', 'PCM_Measurement')
        bucket = influx_config.get('bucket', 'PCM')
        
        # 查询最近的数据
        query = f'''
        from(bucket: "{bucket}")
        |> range(start: -1h)
        |> filter(fn: (r) => r["_measurement"] == "{measurement}")
        |> filter(fn: (r) => r["data_type"] == "Breaker")
        |> filter(fn: (r) => r["_field"] == "load_status")
        |> sort(columns: ["_time"], desc: true)
        |> limit(n: 10)
        '''
        
        result = client.query_api().query(query)
        
        if result:
            print("最新的load_status数据:")
            for table in result:
                for record in table.records:
                    value = record.get_value()
                    value_type = type(value).__name__
                    print(f"  时间: {record.get_time()}")
                    print(f"  值: {value} (类型: {value_type})")
                    
                    if isinstance(value, int):
                        print("  ✅ 值是整数类型")
                    else:
                        print(f"  ❌ 值不是整数类型: {value_type}")
                    print("-" * 20)
        else:
            print("没有查询到load_status数据")
        
        client.close()
        
    except Exception as e:
        print(f"ERROR 验证失败: {e}")

def main():
    print("load_status字段整数数据测试")
    print("=" * 50)
    print("修正说明:")
    print("- 字段名: load_status (不是 load_status_int)")
    print("- 数据类型: 整数 (不是字符串)")
    print("- 监控配置: 使用 load_status 字段")
    print("=" * 50)
    
    # 1. 清理旧数据 (可选)
    clear_old_load_status_data()
    
    # 2. 写入整数数据
    write_integer_load_status()
    
    # 3. 验证数据类型
    verify_integer_data()
    
    print("\n" + "=" * 50)
    print("修正总结:")
    print("✅ UI监控配置: fields=['load_status']")
    print("✅ 测试脚本: .field('load_status', int(value))")
    print("✅ 数据类型: 整数 1 和 0")
    print("✅ 字段名称: load_status (保持原名)")
    
    print("\n现在可以:")
    print("1. 使用 echo 3 | python quick_test_data.py 写入状态1")
    print("2. 使用 echo 2 | python quick_test_data.py 写入状态0")
    print("3. 监控器将正确检测到整数值变化")
    print("4. 字段名保持为 load_status")

if __name__ == "__main__":
    main()