data_analyze_platform/LIB/FRONTEND/soh/main.py

#coding=utf-8
import os
import datetime
import pandas as pd
from LIB.BACKEND import DBManager, Log
from LIB.MIDDLE import SignalMonitor
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
import time, datetime
import traceback
from LIB.MIDDLE.soh import NCMSoh_20210716 as NCMSoh
from LIB.MIDDLE.soh import LFPSoh_20210711 as LFPSoh

from urllib import parse

dbManager = DBManager.DBManager()
if __name__ == "__main__":
    SNdata = pd.read_excel('骑享资产梳理-20210621.xlsx', sheet_name='6040骑享')
    SNnums=SNdata['SN号']
    now_time=datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
    now_time=datetime.datetime.strptime(now_time,'%Y-%m-%d %H:%M:%S')
    start_time=now_time-datetime.timedelta(days=1)
    end_time=str(now_time)
    start_time=str(start_time)

    for sn in SNnums.tolist():
        res = NCMSoh.cal_soh(sn, end_time, start_time)
        res.to_csv('BMS_SOH_'+sn+'.csv',encoding='GB18030')
    
    for sn in SNnums.tolist():
        res = LFPSoh.cal_soh(sn, end_time, start_time)
        res.to_csv('BMS_SOH_'+sn+'.csv',encoding='GB18030')