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

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

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

    #数据库配置
    host='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com'
    port=3306
    user='qx_algo_readonly'
    password = 'qx@123456'

    #读取故障结果库中code==119且end_time='0000-00-00 00:00:00'...............................
    db='safety_platform'
    mysql = pymysql.connect (host=host, port=port, user=user, password=password, database=db)
    cursor = mysql.cursor()
    param='start_time,end_time,product_id,code,level,info,advice'
    tablename='all_fault_info'
    sql =  "select %s from %s where code=119 and end_time='0000-00-00 00:00:00'" %(param,tablename)
    cursor.execute(sql)
    res = cursor.fetchall()
    df_diag_ram= pd.DataFrame(res,columns=param.split(','))
    cursor.close()
    mysql.close()

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

        #电池诊断................................................................................................................................................................
        df_diag_ram_sn=df_diag_ram[df_diag_ram['product_id']==sn]
        df_bms_ram_sn=df_bms_ram[df_bms_ram['sn']==sn]
        if df_diag_ram_sn.empty:
            if not df_bms1.empty:
                SafetyAlarm=CBMSSafetyAlarm.SafetyAlarm(sn,celltype,df_bms1, df_bms_ram_sn)
                df_diag_res, df_bms_res=SafetyAlarm.diag() 

                #更新bms的ram数据
                sn_index=df_bms_ram.loc[df_bms_ram['sn']==sn].index
                df_bms_ram=df_bms_ram.drop(index=sn_index)
                df_bms_ram=df_bms_ram.append(df_bms_res)

                #当前热失控故障写入数据库
                if not df_diag_res.empty:
                    with open(r'D:\00WorkSpace\01Python\data_analyze_platform\USER\alibaba\06BatSafetyAlarm\热失控报警.txt','a') as file:
                        file.write(str(tuple(df_diag_res.iloc[-1]))+'\n')
                
        #当前热失控已超过一天变为历史故障并更改数据库
        else:
            fault_time=datetime.datetime.strptime(df_diag_ram_sn.iloc[-1]['start_time'], '%Y-%m-%d %H:%M:%S')
            if (now_time-fault_time).total_seconds()>24*3600:
                df_diag_ram_sn['end_time']=end_time
                df_diag_ram_sn['Batpos']=1
                with open(r'D:\00WorkSpace\01Python\data_analyze_platform\USER\alibaba\06BatSafetyAlarm\热失控报警.txt','a') as file:
                    file.write(str(tuple(df_diag_ram_sn.iloc[-1]))+'\n')

        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_alarm.txt','error')
    mylog.logcfg()
    
    #参数初始化
    df_bms_ram=pd.DataFrame(columns=['time', 'sn', 'packvolt', 'cellvolt', 'celltemp'])
    start_time=datetime.datetime.strptime('2021-10-29 18:10:24','%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=0.5, id='diag_job')

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