data_analyze_platform/USER/SPF/alibaba/05BatDiag/main_test.py

import CBMSBatDiag
import pymysql
import datetime
import pandas as pd
from LIB.BACKEND import DBManager
import time, datetime
from apscheduler.schedulers.blocking import BlockingScheduler
from USER.SPF.alibaba.Common import DBDownload
from USER.SPF.alibaba.Common import log

#...................................电池包电芯安全诊断函数......................................................................................................................
def diag_cal():
    global SNnums
    global start_time
    global df_bms

    start=time.time()
    start_time=start_time+datetime.timedelta(seconds=55)
    end_time=start_time+datetime.timedelta(seconds=60)

    #数据库配置
    host='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com'
    port=3306
    db='qx_cas'
    user='qx_read'
    password='Qx@123456'

    #读取故障结果库中的当前故障...............................
    # param='time_st,time_sp,sn,faultcode,faultlv,faultinfo,faultadvice'
    # tablename=''
    # mysql = pymysql.connect (host=host, user=user, password=password, port=port, database=db)
    # cursor = mysql.cursor()
    # sql =  "select %s from %s where time_sp='0000-00-00 00:00:00'" %(param,tablename)
    # cursor.execute(sql)
    # res = cursor.fetchall()
    # df_diag_ram= pd.DataFram(res,columns=param.split(','))
    # cursor.close()
    # mysql.close()
    df_diag_ram=pd.DataFrame(columns=['time_st','time_sp','sn','faultcode','faultlv','faultinfo','faultadvice'])

    for sn in SNnums:
        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
        else:
            print('SN：{}，未找到对应电池类型！！！'.format(sn))
            continue
            # sys.exit()
        celltype=2

        #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_bms1=df_bms[(df_bms['time'] > start_time) & (df_bms['time'] < end_time)]
        df_bms1.reset_index(inplace=True,drop=True)
        print(df_bms1)

        #读取结果数据库数据........................................................................................................................................................
        mode=1
        tablename1='cellstateestimation_soh'
        tablename2='cellstateestimation_uniform_socvoltdiff'
        tablename3='cellstateestimation_soc'
        DBRead=DBDownload.DBDownload(host, port, db, user, password,mode)
        with DBRead as DBRead:
            df_soh=DBRead.getdata('time_st,sn,soh,cellsoh', tablename=tablename1, sn=sn, timename='time_sp', st=start_time, sp=end_time)
            df_uniform=DBRead.getdata('time,sn,cellsoc_diff,cellmin_num,cellmax_num', tablename=tablename2, sn=sn, timename='time', st=start_time, sp=end_time)
            # df_soc=DBRead.getdata('time','sn','packsoc', tablename=tablename3, sn=sn)
            df_soc=pd.DataFrame()

        #电池诊断................................................................................................................................................................
        if not df_bms1.empty:
            df_diag_ram_sn=df_diag_ram[df_diag_ram['sn']==sn]

            batdiag=CBMSBatDiag.BatDiag(sn,celltype,df_bms1,df_soh,df_soc,df_uniform,df_diag_ram_sn)
            df_diag_res, df_health_res=batdiag.diag()   #获取电池故障结果和电池评分结果

            #电池评分写入数据库
            if not df_health_res.empty:   #变为历史故障更改数据库
                with open(r'D:\00WorkSpace\01Python\data_analyze_platform\USER\alibaba\05BatDiag\电池评分.txt','a',encoding='utf8') as file:
                    file.write(str(df_health_res)+'\n') 

            #历史故障筛选并更改数据库故障结束时间.........................................................
            df_diag_end=df_diag_res[df_diag_res['time_sp'] != '0000-00-00 00:00:00']
            if not df_diag_end.empty:   #变为历史故障更改数据库
                with open(r'D:\00WorkSpace\01Python\data_analyze_platform\USER\alibaba\05BatDiag\故障报警.txt','a',encoding='utf8') as file:
                    file.write(str(df_diag_end)+'\n')          

            #新增故障筛选并存入数据库.....................................................................
            df_diag_now=df_diag_res[df_diag_res['time_sp'] == '0000-00-00 00:00:00']   #去除历史故障
            df_diag_all=df_diag_now.append(df_diag_ram_sn) 
            df_diag_new=df_diag_all.drop_duplicates(subset=['faultcode'],keep=False)
            if not df_diag_new.empty:  #新增写入数据库
                with open(r'D:\00WorkSpace\01Python\data_analyze_platform\USER\alibaba\05BatDiag\故障报警.txt','a',encoding='utf8') as file:
                    file.write(str(df_diag_new)+'\n')        

            #更新diag的Ram数据
            df_diag_ram=df_diag_ram.drop(df_diag_ram[df_diag_ram.sn==sn].index)
            df_diag_ram=df_diag_ram.append(df_diag_now, ignore_index=True)
            df_diag_ram.reset_index(inplace=True,drop=True)     #重置索引

            #健康度评分存入数据库
    end=time.time()
    print(end-start)

#...............................................主函数起定时作用.......................................................................................................................
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')
    # 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=SNnums_L7255 + SNnums_C7255 + SNnums_U7255, SNnums_6040 + SNnums_4840 + SNnums_6060
    SNnums=['HUATING']
    
    mylog=log.Mylog('log_diag.txt','error')
    mylog.logcfg()

    start_time=datetime.datetime.strptime('2021-10-29 14:27:40','%Y-%m-%d %H:%M:%S')
    df_bms= pd.read_excel(r'D:\00WorkSpace\01Python\data_analyze_platform\USER\alibaba\98Download\18650-故障诊断原始数据.xlsx')
    df_bms['time']=pd.to_datetime(df_bms['time'], format='%Y-%m-%d %H:%M:%S')

    #定时任务.......................................................................................................................................................................
    scheduler = BlockingScheduler()
    scheduler.add_job(diag_cal, 'interval', seconds=1)

    try:  
        scheduler.start()
    except Exception as e:
        scheduler.shutdown()
        print(repr(e))
        mylog.logopt(e)