data_analyze_platform/USER/SPF/01qixiang/09Behave/main.py

import CBMSBatBehave
import pymysql
import datetime
import pandas as pd
import multiprocessing
from LIB.BACKEND import DBManager, Log
import time, datetime
from apscheduler.schedulers.blocking import BlockingScheduler
from LIB.MIDDLE.CellStateEstimation.Common.V1_0_1 import log

#...............................................主函数..........................................................................................................
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_L7255 + SNnums_C7255 + SNnums_U7255 + SNnums_4840, SNnums_6040 + SNnums_6060]
    SNnums=SNnums_ZKHD
    
    mylog=log.Mylog('log_diag.txt','error')
    mylog.logcfg()
   
    start=time.time()
    now_time=datetime.datetime.now() #-datetime.timedelta(seconds=3600*24+3600*14.6)
    start_time=now_time-datetime.timedelta(seconds=70)
    start_time=start_time.strftime('%Y-%m-%d %H:%M:%S')
    end_time=now_time.strftime('%Y-%m-%d %H:%M:%S')

    start_time='2021-12-1 00:00:00'
    end_time='2021-12-30 23:59:59'

    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 'K504B' 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' or 'UD') in sn: 
                celltype=4 #CATL 50ah三元电芯
            elif 'TJMCL' in sn:
                celltype=100 #金茂重卡换电
            else:
                print('SN：{}，未找到对应电池类型！！！'.format(sn))
                continue
                # sys.exit()

            #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(axis=0,subset=['总电流[A]','SOH[%]','SOC[%]']) #去除有空值的行
            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+'_BMS_'+'.csv',encoding='GB18030')
            # print(df_bms)

            #用户行为分析................................................................................................................................................................
            if not df_bms.empty:
                BatBehave=CBMSBatBehave.BatBehave(sn,celltype,df_bms)
                df_res=BatBehave.behave()

                #当前热失控故障写入数据库
                if not df_res.empty:
                #读取老的excel结果
                    try:
                        df_res_old= pd.read_excel(r'D:\Platform\platform_python\data_analyze_platform\USER\spf\01qixiang\99Result\\'+'CBMS_'+'行为分析1'+'.xlsx',index_col=0)
                    except:
                        df_res_old=pd.DataFrame()
                    #新的结果与老结果合并
                    if df_res_old.empty:
                        df_res=df_res
                    else:
                        df_res=df_res.append(df_res_old)
                    #合并后的结果存入excel文件
                    if not df_res.empty:
                        df_res.to_excel(r'D:\Platform\platform_python\data_analyze_platform\USER\spf\01qixiang\99Result\\'+'CBMS_'+'行为分析1'+'.xlsx')
                    # print('done！！！')
                

            end=time.time()
            print(end-start)
        except Exception as e:
            print(repr(e))
            mylog.logopt(e)