import CBMSBatDiag
from SC_SamplingSafty import SamplingSafty
import datetime
import pandas as pd
from LIB.BACKEND import DBManager, Log
from sqlalchemy import create_engine
import time, datetime
from apscheduler.schedulers.blocking import BlockingScheduler
from LIB.MIDDLE.CellStateEstimation.Common.V1_0_1 import DBDownload as DBDownload
from LIB.MIDDLE.CellStateEstimation.Common.V1_0_1 import log
from pandas.core.frame import DataFrame
import datacompy
from LIB.MIDDLE.SaftyCenter.Common import QX_BatteryParam
from LIB.MIDDLE.SaftyCenter.Common import DBDownload as DBDw
from DataStatistics import DataSta
from DiagDataMerge import DiagDataMerge

#...................................电池包电芯安全诊断函数......................................................................................................................
def diag_cal():
    global SNnums
    global df_Diag_Ram
    global start
    #..................................设置时间..........................................................  
    start=time.time()
    end_time=datetime.datetime.now()
    start_time=end_time-datetime.timedelta(seconds=900)#15分钟跑一次，一次取15分钟数据
    start_time=start_time.strftime('%Y-%m-%d %H:%M:%S')
    end_time=end_time.strftime('%Y-%m-%d %H:%M:%S')


    for sn in SNnums:#SN遍历
        print(sn)
        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()
        param=QX_BatteryParam.BatteryInfo(celltype)   
        #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']

        #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
        tablename1='cellstateestimation_soh'
        tablename2='cellstateestimation_uniform_socvoltdiff'       
        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)

        #读取电池当前运营状态.....................................................................................................................................................
        host='rm-bp10j10qy42bzy0q7.mysql.rds.aliyuncs.com'
        port=3306
        db='qixiang_manage'
        user='qx_query'
        password='@Qx_query'
        mode=4
        tablename1='py_battery'     
        DBRead=DBDw.DBDownload(host, port, db, user, password,mode)
        with DBRead as DBRead:
            df_OprtnSta=DBRead.getdata('qrcode','status', tablename=tablename1, sn=sn, timename='', st='', sp='',factory='')#取最后一条运营状态


        #电池诊断.....................................................................................................................................................................
        CellFltInfo=DataFrame(columns=['start_time', 'end_time', 'product_id', 'code', 'level', 'info','advice'])
        df_Diag_Ram_sn = df_Diag_Ram.loc[df_Diag_Ram['product_id']==sn]#历史故障
        df_Diag_Ram_sn_else = pd.concat([df_Diag_Ram,df_Diag_Ram_sn,df_Diag_Ram_sn]).drop_duplicates(subset=['product_id','code','start_time','Batpos','info'],keep=False)#sn之外的故障
        CellFltInfo = df_Diag_Ram_sn.drop('Batpos',axis=1)
        #获取当前故障电池的历史故障信息↑↑↑↑↑↑↑↑↑↑↑.......................................................................................................................................
        if not df_bms.empty:
            df_Diag_Batdiag_update_xq=SamplingSafty.main(sn,param,df_bms,CellFltInfo)#学琦计算故障   
            batDiag=CBMSBatDiag.BatDiag(sn,celltype,df_bms, df_soh, df_uniform, CellFltInfo)#鹏飞计算
            df_Diag_Batdiag_update=batDiag.diag()
            # df_Diag_Batdiag_update=BatDiag.diag() 
        else:
            df_Diag_Batdiag_update_xq=DataFrame(columns=['start_time','end_time','product_id','code','level','info','advice','Batpos'])
            df_Diag_Batdiag_update=DataFrame(columns=['start_time','end_time','product_id','code','level','info','advice','Batpos'])
        df_Diag_Ram,df_Diag_Ram_add,df_Diag_Ram_Update=DiagDataMerge.DetaMerge(df_Diag_Ram_sn,df_Diag_Batdiag_update_xq,df_Diag_Batdiag_update,df_OprtnSta,df_Diag_Ram_sn_else)
        df_Diag_Ram.to_csv('df_Diag_Ram.csv')
        df_Diag_Ram_add.to_csv('df_Diag_Ram_add.csv')
        df_Diag_Ram_Update.to_csv('df_Diag_Ram_add.csv')
#.................................统计程序...............................
def DaTa_Sta_Week_Task():
    all_period_fault_info=DataFrame(columns=['factory','week','level1_count','level2_count','level3_count','level4_count','level5_count','solve_rate'])
    #............................获取数据................................
    toweek='Week'+time.strftime('%W')
    host='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com'
    port=3306
    db='safety_platform'
    user='qx_read'
    password='Qx@123456'
    mode=2
    tablename1='all_fault_info'
    DBRead=DBDw.DBDownload(host, port, db, user, password,mode)
    with DBRead as DBRead:
        df_fltinfo=DBRead.getdata('product_id','level','code','start_time','end_time','batpos',tablename=tablename1,factory='骑享',sn='',timename='',st='',sp='')#dbdownload经过了改编
    #............................获取时间................................      
    end_time=datetime.datetime.now()
    # end_time=datetime.datetime.strptime(end_time,'%Y-%m-%d')
    start_time=end_time-datetime.timedelta(days=7)
    start_time=start_time.strftime('%Y-%m-%d')
    end_time=end_time.strftime('%Y-%m-%d')
    FltAlarmInfo,Celltype=DataSta.SaftyWarningSta(df_fltinfo,start_time,end_time)
    FaultLvlCount=DataSta.WeekInfoSta(df_fltinfo,start_time,end_time)
    for i in range(1,6):
        if not FaultLvlCount[FaultLvlCount['level']==i]['product_id'].empty:
            all_period_fault_info.loc[0,'level'+str(i)+'_count']=int(FaultLvlCount[FaultLvlCount['level']==i]['product_id'].values)
        else:
            all_period_fault_info.loc[0,'level'+str(i)+'_count']=int(0)
    all_period_fault_info.loc[0,'factory']='骑享'
    all_period_fault_info.loc[0,'week']=toweek
    all_period_fault_info.loc[0,'solve_rate']=FltAlarmInfo.loc[0,'OprationManageRate']
    all_period_fault_info.fillna(0,inplace=False)
    all_period_fault_info.to_csv('all_period_fault_info.csv')
def DaTa_Sta_Minutes_Task():

    #............................获取数据................................
    host='172.16.121.236'
    port=3306
    db='fastfun'
    user='readonly'
    password='Fast1234'
    mode=3
    tablename1='ff_battery_accum'
    tablename2='ff_location'
    DBRead=DBDw.DBDownload(host, port, db, user, password,mode)
    with DBRead as DBRead:
        df_last_accum=DBRead.getdata('devcode','dsg_phaccum','dsg_ahaccum',tablename=tablename1,factory='',sn='',timename='',st='',sp='')#dbdownload经过了改编
        df_last_pos=DBRead.getdata('devcode','latitude','longitude',tablename=tablename2,factory='',sn='',timename='',st='',sp='')#dbdownload经过了改编
        
        
    host='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com'
    port=3306
    db='qx_cas'
    user='qx_read'
    password='Qx@123456'
    mode=3
    tablename2='bat_first_data_time'
    DBRead=DBDw.DBDownload(host, port, db, user, password,mode)
    with DBRead as DBRead:
        df_FirstDataTime=DBRead.getdata('sn','first_data_time',tablename=tablename2,factory='',sn='',timename='',st='',sp='')#dbdownload经过了改编
        
        
    host='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com'
    port=3306
    db='safety_platform'
    user='qx_read'
    password='Qx@123456'
    mode=2
    tablename1='all_fault_info'
    DBRead=DBDw.DBDownload(host, port, db, user, password,mode)
    with DBRead as DBRead:
        df_fltinfo=DBRead.getdata('product_id','level','code','start_time','batpos',tablename=tablename1,factory='骑享',sn='',timename='',st='',sp='')#dbdownload经过了改编
    #............................获取时间................................
    end_time=datetime.datetime.now()
    # end_time=datetime.datetime.strptime(end_time,'%Y-%m-%d')
    start_time=end_time-datetime.timedelta(days=1)
    start_time=start_time.strftime('%Y-%m-%d')
    end_time=end_time.strftime('%Y-%m-%d')
    #............................执行程序................................
    FltAlarmInfo,Celltype=DataSta.SaftyWarningSta(df_fltinfo,start_time,end_time)
    SatftyCount=DataSta.SftyWrngClsfy(df_fltinfo)
    MaxAccumAh,TotalAccumAh,MaxCycle,MaxRunningHour,TotalRunHour=DataSta.AccumInfo(df_last_accum,df_FirstDataTime,end_time)
    df_Diag_Ram_Pos=DataSta.FltBatPosition(df_last_pos,df_Diag_Ram)

    all_statistic_info=DataFrame(columns=['factory','total_alarm','alarm_total_today','alarm_not_close_today','alarm_close_today','alarm_uregent_total_today','alarm_uregent_close_today','alarm_uregent_not_close_today','alarm_close_total','run_time_total','dischrg_total','odo_total','max_dischrg_one','max_runtime_one','max_cycle_one','max_odo_one','alarm_close_total','alarm_total','cell_type','cell_type_count','cell_safety_risk_count','data_safety_risk_count','status_safety_risk_count','hv_safety_risk_count','system_safety_risk_count','sample_safety_risk_count','controller_safety_risk_count','design_safety_risk_count'])
    all_statistic_info.loc[0,'factory']='骑享'
    all_statistic_info.loc[0,'total_alarm']=FltAlarmInfo.loc[0,'SftyPlt_Data_Total']
    all_statistic_info.loc[0,'alarm_total_today']=FltAlarmInfo.loc[0,'SftyPlt_Data_day']
    all_statistic_info.loc[0,'alarm_close_today']=FltAlarmInfo.loc[0,'CS_Warning_day_Finish_Count']
    all_statistic_info.loc[0,'alarm_not_close_today']=FltAlarmInfo.loc[0,'SftyPlt_Data_day']-FltAlarmInfo.loc[0,'CS_Warning_day_Finish_Count']
    all_statistic_info.loc[0,'alarm_uregent_total_today']=FltAlarmInfo.loc[0,'SftyPlt_EmgcyData_day']
    all_statistic_info.loc[0,'alarm_uregent_close_today']=FltAlarmInfo.loc[0,'SftyPlt_EmgcyData_day_Finish_Count']
    all_statistic_info.loc[0,'alarm_uregent_not_close_today']=FltAlarmInfo.loc[0,'SftyPlt_EmgcyData_day']-FltAlarmInfo.loc[0,'SftyPlt_EmgcyData_day_Finish_Count']
    all_statistic_info.loc[0,'run_time_total']=TotalRunHour
    all_statistic_info.loc[0,'dischrg_total']=TotalAccumAh
    all_statistic_info.loc[0,'odo_total']=0
    all_statistic_info.loc[0,'max_dischrg_one']=MaxAccumAh
    all_statistic_info.loc[0,'max_runtime_one']=MaxRunningHour
    all_statistic_info.loc[0,'max_cycle_one']=MaxCycle
    all_statistic_info.loc[0,'max_odo_one']=0
    all_statistic_info.loc[0,'alarm_close_total']=FltAlarmInfo.loc[0,'CS_Warning_Total_Finish_Count']
    all_statistic_info.loc[0,'alarm_total']=FltAlarmInfo.loc[0,'SftyPlt_Data_Total']
    CellType=Celltype.columns.tolist()
    CellType=','.join(CellType) 
    all_statistic_info.loc[0,'cell_type']=str(CellType)
    CellTypeCount=Celltype.loc[0].tolist()
    CellTypeCount=[str(x) for x in CellTypeCount]
    CellTypeCount=','.join(CellTypeCount) 
    all_statistic_info.loc[0,'cell_type_count']=str(CellTypeCount)
    all_statistic_info.loc[0,'cell_safety_risk_count']=SatftyCount.loc[0,'CellSaftyCount']
    all_statistic_info.loc[0,'data_safety_risk_count']=SatftyCount.loc[0,'DataSaftyCodeCount']
    all_statistic_info.loc[0,'status_safety_risk_count']=SatftyCount.loc[0,'StateSaftyCodeCount']
    all_statistic_info.loc[0,'hv_safety_risk_count']=SatftyCount.loc[0,'HvSaftyCodeCount']
    all_statistic_info.loc[0,'system_safety_risk_count']=SatftyCount.loc[0,'SysSaftyCodeCount']
    all_statistic_info.loc[0,'sample_safety_risk_count']=SatftyCount.loc[0,'SamplingSatyCount']
    all_statistic_info.loc[0,'controller_safety_risk_count']=SatftyCount.loc[0,'CtrlSaftyCodeCount']
    all_statistic_info.loc[0,'design_safety_risk_count']=SatftyCount.loc[0,'DsnSaftyCodeCount']
    all_statistic_info.to_csv('all_statistic_info.csv')

    end=time.time()
    print(end-start)




#...............................................主函数.......................................................................................................................
if __name__ == "__main__":
    global SNnums
    
    excelpath=r'D:\Platform\platform_python\data_analyze_platform\USER\sxq\SaftyCenter_CODE_V1_1\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_6040 + SNnums_4840 + SNnums_U7255+ SNnums_6060
    # SNnums=['MGMCLN750N215I005','PK504B10100004341','PK504B00100004172','MGMLXN750N2189014']
    #SNnums = ['MGMLXN750N21B5004'] #SNnums_6040
    
    mylog=log.Mylog('log_diag.txt','error')
    mylog.logcfg()
    #............................模块运行前，先读取数据库中所有结束时间为0的数据，需要从数据库中读取................
    host='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com'
    port=3306
    db='safety_platform'
    user='qx_read'
    password='Qx@123456'
    mode=2
    tablename2='all_fault_info'
    DBRead = DBDw.DBDownload(host, port, db, user, password,mode)
    with DBRead as DBRead:
        df_Diag_Ram = DBRead.getdata('start_time','end_time','product_id','code','level','info','advice','Batpos',tablename=tablename2,factory='骑享',sn='',timename='',st='',sp='')
    # result=pd.read_csv(r'D:\Work\Code_write\data_analyze_platform\USER\01Screen_Problem\result.csv',encoding='gbk')
    diag_cal()
    DaTa_Sta_Minutes_Task()
    DaTa_Sta_Week_Task()

    #定时任务.......................................................................................................................................................................
    scheduler = BlockingScheduler()
    scheduler.add_job(diag_cal, 'interval', seconds=900, id='diag_job')
    scheduler.add_job(DaTa_Sta_Week_Task, 'interval',start_date='2021-11-15 08:00:00', days=7, id='Week_Task')
    scheduler.add_job(DaTa_Sta_Minutes_Task, 'interval', seconds=180, id='Minutes_Task')

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