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- import json
- import psycopg2
- import PGDB_Read as PGDB
- from datetime import datetime
- point = 'nm'
- value = 'v'
- nm_values = (
- 'lfgawqyq_plc3_Tag22', 'lfgawqyq_plc3_Tag20',
- 'lfgawqyq_plc10_Tag45', 'lfgawqyq_plc10_Tag43',
- 'lfgawqyq_plc3_Tag17', 'lfgawqyq_plc10_Tag40'
- )
- # 连接到数据库
- with open('db_params.json', 'r') as f:
- db_params = json.load(f)
- db_params = db_params['test']
- # 建立连接
- conn = psycopg2.connect(**db_params)
- cursor = conn.cursor()
- data = PGDB.query_database(cursor,nm_values)
- # 关闭游标和连接
- cursor.close()
- conn.close()
- format_data={}
- format_data['in']= data
- now = datetime.now()
- format_data['time']=now.strftime("%Y-%m-%d %H:%M")
- print(format_data)
- #输出
- # {
- # 'in': {
- # 'lfgawqyq_plc10_Tag45': '11.4345',
- # 'lfgawqyq_plc3_Tag22': '25.5208',
- # 'lfgawqyq_plc10_Tag40': '129.8828',
- # 'lfgawqyq_plc10_Tag43': '5.0528',
- # 'lfgawqyq_plc3_Tag20': '16.2399',
- # 'lfgawqyq_plc3_Tag17': '106.3368'
- # },
- # 'time': '2024-09-10 11:51'
- # }
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