data_analyze_platform/USER/SPF/alibaba/01BatSoh/main.py

import datetime
import pandas as pd
import numpy as np
import datetime
from USER.SPF.alibaba.Common import DBDownload
from USER.SPF.alibaba.Common import log
import CBMSBatSoh

if __name__ == "__main__":
    SNnums= ['LS002']

    end_time=datetime.datetime.now()-datetime.timedelta(seconds=10)
    start_time=end_time-datetime.timedelta(seconds=12000)
    start_time=start_time.strftime('%Y-%m-%d %H:%M:%S')
    end_time=end_time.strftime('%Y-%m-%d %H:%M:%S')

    #log信息配置............................................................................................................................................................................
    mylog=log.Mylog('log_soh.txt','error')
    mylog.logcfg()

    for sn in SNnums:
        try:
            # if 'PK500' in sn:
            #     celltype=1 #6040三元电芯
            # elif 'PK502' in sn:
            #     celltype=2 #4840三元电芯
            # elif 'PK504' in sn:
            #     celltype=99    #60ah林磷酸铁锂电芯
            # elif 'MGMLXN750' in sn:
            #     celltype=3 #力信50ah三元电芯
            # elif 'MGMCLN750' in sn: 
            #     celltype=4 #CATL 50ah三元电芯
            # else:
            #     print('未找到对应电池编号！！！\n',sn)
            #     # sys.exit()

            celltype=99

            #............................................................读取原始数据库数据...........................................................................
            df_bms= pd.read_excel(r'D:\01WorkSpace\项目\Alibaba\data\原始数据_2022-01-10_2022-02-10\力神_LS002.xlsx')
            cellvolt_name=['CellVolt'+str(x) for x in range(1,73)]
            celltemp_name=['CellTemp'+str(x) for x in range(1,33)]
            df_volt=pd.DataFrame([x[0].split(",") for x in np.array(df_bms[['cell_volt']])])
            df_volt.columns = cellvolt_name
            df_volt=df_volt.astype('float')
            df_temp=pd.DataFrame([x[0].split(",") for x in np.array(df_bms[['cell_temp']])])
            df_temp.columns = celltemp_name
            df_temp=df_temp.astype('float')
            df_bms=pd.concat([df_bms,df_volt,df_temp],axis=1)
            df_bms.dropna(axis=0, inplace=True)
            df_bms=df_bms.reset_index(drop=True)

            #............................................................读取结果数据库数据.........................................................................
            # host='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com'
            # port=3306
            # db='qx_cas'
            # user='qx_read'
            # password='Qx@123456'
            # mode=1
            # tablename='cellstateestimation_soh'
            # DBRead=DBDownload.DBDownload(host, port, db, user, password, mode)
            # with DBRead as DBRead:
            #     df_soh=DBRead.getdata(param='time_st,time_sp,sn,method,soh,cellsoh,packsoh', tablename=tablename, sn=sn, timename='time_sp', st=start_time, sp=end_time)
            df_soh=pd.DataFrame()
            # print(df_soh)

            #.................................................................计算soh...................................................................................
            BatSoh=CBMSBatSoh.BatSoh(sn,celltype,df_bms,df_soh)
            df_res=BatSoh.batsoh()
            df_res.to_excel(r'D:\01WorkSpace\python\data_analyze_platform\USER\SPF\alibaba\99Result\\'+'CBMS_SOH_'+sn+'.xlsx')
            # print('done！！！')
             
        except Exception as e:
            print(repr(e))
            mylog.logopt(sn,e)
            pass