PCM_Report/test_integer_values.py

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Python
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2025-12-11 14:32:31 +08:00
#!/usr/bin/env python3
"""
测试整数值的写入和查询
"""
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 test_integer_write():
"""测试写入整数值"""
print("测试写入整数值")
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)
# 写入整数值 1
point1 = Point(measurement) \
.tag("data_type", "Breaker") \
.field("load_status", 1) \
.time(now)
write_api.write(bucket=bucket, record=point1)
print("OK 写入整数值 1")
# 等待一秒
import time
time.sleep(1)
# 写入整数值 0
point2 = Point(measurement) \
.tag("data_type", "Breaker") \
.field("load_status", 0) \
.time(datetime.datetime.now(datetime.timezone.utc))
write_api.write(bucket=bucket, record=point2)
print("OK 写入整数值 0")
client.close()
except Exception as e:
print(f"ERROR 写入失败: {e}")
def test_integer_query():
"""测试查询整数值"""
print("\n测试查询整数值")
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: -10m)
|> 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: 5)
'''
result = client.query_api().query(query)
if result:
print("最近的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})")
# 检查值类型
if isinstance(value, int):
print(" ✅ 值是整数类型")
elif isinstance(value, str):
print(" ❌ 值是字符串类型")
else:
print(f" ⚠️ 值是其他类型: {value_type}")
print("-" * 20)
else:
print("没有查询到数据")
client.close()
except Exception as e:
print(f"ERROR 查询失败: {e}")
def test_monitor_logic():
"""测试监控器逻辑(整数比较)"""
print("\n测试监控器逻辑")
print("=" * 40)
# 模拟监控器的状态比较逻辑
test_values = [1, 0, "1", "0", 1.0, 0.0]
for value in test_values:
print(f"测试值: {value} (类型: {type(value).__name__})")
# 监控器配置的整数值
start_value = 1
end_value = 0
# 比较逻辑
if value == start_value:
print(" ✅ 匹配开始值 (实验开始)")
elif value == end_value:
print(" ✅ 匹配结束值 (实验结束)")
else:
print(" ❌ 不匹配任何状态值")
print("-" * 20)
def main():
print("整数值测试")
print("=" * 50)
print("目标: 确保load_status字段使用整数值 1 和 0")
print("=" * 50)
# 1. 测试写入整数值
test_integer_write()
# 2. 测试查询整数值
test_integer_query()
# 3. 测试监控器逻辑
test_monitor_logic()
print("\n" + "=" * 50)
print("修改总结:")
print("1. ui_main.py: status_values 使用整数 1 和 0")
print("2. quick_test_data.py: field() 使用整数值")
print("3. 监控器将正确比较整数值")
print("\n现在可以测试:")
print("1. 在UI中创建工单并进入等待状态")
print("2. 执行: echo 3 | python quick_test_data.py")
print("3. 执行: echo 2 | python quick_test_data.py")
print("4. 观察监控器是否检测到整数值变化")
if __name__ == "__main__":
main()