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

import CBMSBatSoh
#coding=utf-8
import datetime
import pandas as pd
from LIB.BACKEND import DBManager, Log
import time, datetime
import os
from LIB.MIDDLE.CellStateEstimation.Common.V1_0_1 import DBDownload
from LIB.MIDDLE.CellStateEstimation.Common.V1_0_1 import log

dbManager = DBManager.DBManager()
if __name__ == "__main__":
    # excelpath=r'D:\Platform\platform_python\data_analyze_platform\USER\spf\01qixiang\sn-20210903.xlsx'
    # SNdata_6060 = pd.read_excel(excelpath, sheet_name='科易6060')
    # SNdata_6040 = pd.read_excel(excelpath, sheet_name='科易6040')
    # SNdata_4840 = pd.read_excel(excelpath, sheet_name='科易4840')
    # SNdata_L7255 = pd.read_excel(excelpath, sheet_name='格林美-力信7255')
    # SNdata_C7255 = pd.read_excel(excelpath, sheet_name='格林美-CATL7255')
    # SNdata_U7255 = pd.read_excel(excelpath, sheet_name='优旦7255')
    # SNdata_ZKHD=pd.read_excel(excelpath, sheet_name='重卡换电')
    # SNnums_6060=SNdata_6060['SN号'].tolist()
    # SNnums_6040=SNdata_6040['SN号'].tolist()
    # SNnums_4840=SNdata_4840['SN号'].tolist()
    # SNnums_L7255=SNdata_L7255['SN号'].tolist()
    # SNnums_C7255=SNdata_C7255['SN号'].tolist()
    # SNnums_U7255=SNdata_U7255['SN号'].tolist()
    # SNnums_ZKHD=SNdata_ZKHD['SN号'].tolist()
    # SNnums= SNnums_ZKHD
    SNdata_6040 = pd.read_excel(r'D:\Platform\platform_python\data_analyze_platform\USER\spf\01qixiang\CBMS_SOH_26040.xlsx')
    SNnums=SNdata_6040['sn'].tolist()
    SNnums=['PK50001A100000545']

    # filepath=r'D:\Platform\platform_python\data_analyze_platform\USER\spf\01qixiang\98Download'
    # files=os.listdir(filepath)
    # files=[files[5]]

    end_time=datetime.datetime.now()-datetime.timedelta(seconds=10)
    start_time=end_time-datetime.timedelta(seconds=1200)
    start_time=start_time.strftime('%Y-%m-%d %H:%M:%S')
    end_time=end_time.strftime('%Y-%m-%d %H:%M:%S')
    start_time='2020-10-31 00:49:37'
    end_time='2021-12-31 19:49:37'

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

    for sn in SNnums:
        # sn=filesname[:-4]
        print(sn)
        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:
                celltype=100
                print('未找到对应电池编号！！！\n',sn)
                # sys.exit()

            # df_bms= pd.read_csv(filepath+'\\'+filesname,encoding='GB18030')
            # df_accum= pd.read_csv(r'D:\Platform\platform_python\data_analyze_platform\USER\spf\01qixiang\98Download\\'+'BMS_accum_'+sn+'.csv',encoding='GB18030')
            
            #..........................................................................读取原始数据库数据...........................................................................
            dbManager = DBManager.DBManager()
            df_data = dbManager.get_data(sn=sn, start_time=start_time, end_time=end_time, data_groups=['bms'])
            df_bms = df_data['bms']
            df_bms=df_bms.dropna(subset=['总电流[A]'])
            df_bms.reset_index(inplace=True,drop=True)     #重置索引
            df_bms.to_csv(r'D:\Platform\platform_python\data_analyze_platform\USER\spf\01qixiang\98Download\\'+sn+'.csv',encoding='GB18030')
            df_accum=pd.DataFrame()

            #..........................................................................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', tablename=tablename, sn=sn, timename='time_sp', st=start_time, sp=end_time)
            # print(df_soh)
            # df_soh=pd.DataFrame()

            #..............................................................................计算soh...................................................................................
            BatSoh=CBMSBatSoh.BatSoh(sn,celltype,df_bms,df_accum,df_soh)
            df_res=BatSoh.batsoh()
            df_res.to_csv(r'D:\Platform\platform_python\data_analyze_platform\USER\spf\01qixiang\99Result\\'+'CBMS_SOH'+sn+'.csv',encoding='GB18030')
            # print('done！！！')
             
        except Exception as e:
            print(repr(e))
            mylog.logopt(sn,e)
            pass