import datetime
import pandas as pd
import numpy as np
import time
from apscheduler.schedulers.blocking import BlockingScheduler
from USER.SPF.alibaba.Common import log
import CBMSBatSoc

#...................................SOC计算函数......................................................................................................................
def soc_cal():
    global df_ram
    global SNnums
    global df_bms
    global now_time

    end_time=now_time
    start_time=now_time-datetime.timedelta(seconds=11)
    now_time=now_time+datetime.timedelta(seconds=10)
    # 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:
        # 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=99
        #读取原始数据库数据........................................................................................................................................................
        df_bms1= df_bms[(df_bms['time']>=start_time) & (df_bms['time']<end_time)]
        df_bms1=df_bms1.reset_index(drop=True)
        if not df_bms1.empty:
            cellvolt_name=['CellVolt'+str(x) for x in range(1,73)]
            celltemp_name=['CellTemp'+str(x) for x in range(1,33)]
            df_volt=pd.DataFrame([x[0].split(",") for x in np.array(df_bms1[['cell_volt']])])
            df_volt.columns = cellvolt_name
            df_volt=df_volt.astype('float')
            df_temp=pd.DataFrame([x[0].split(",") for x in np.array(df_bms1[['cell_temp']])])
            df_temp.columns = celltemp_name
            df_temp=df_temp.astype('float')
            df_bms1=pd.concat([df_bms1,df_volt,df_temp],axis=1)
            # df_bms1.dropna(axis=0, inplace=True)
            df_bms1.reset_index(drop=True, inplace=True)


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

        # if celltype>50:
        #     tablename='cellstateestimation_uniform_socvoltdiff'
        #     with DBRead as DBRead:
        #         df_socdiff=DBRead.getdata(param='time,sn,cellsoc_diff', tablename=tablename, sn=sn, timename='time', st=start_time, sp=end_time)
        # else:
        #     df_socdiff=pd.DataFrame()
        df_socdiff=pd.DataFrame()

        # print(df_bms)
        # print(df_soh)
        
        #socram...............................................................................................................................................................
        if not df_bms1.empty:
            df_ram_sn=df_ram[df_ram['sn']==sn]
            if df_ram_sn.empty:
                with open(r'D:\01WorkSpace\python\data_analyze_platform\USER\SPF\alibaba\04BatSoc\\'+'soc_'+sn+'.txt','a') as file:
                    file.write(str(tuple(df_ram_sn.columns))+'\n')
            
            BatSoc=CBMSBatSoc.BatSoc(sn,celltype,df_bms1,df_soh,df_ram_sn,df_socdiff)
            df_res, df_ram_sn=BatSoc.batsoc()
            if not df_ram_sn.empty:
                sn_index=df_ram.loc[df_ram['sn']==sn].index
                df_ram=df_ram.drop(index=sn_index)
                df_ram=df_ram.append(df_ram_sn)
                df_ram.reset_index(inplace=True,drop=True)     #重置索引
            
            #结果存入数据库...........................................................
            if not df_ram_sn.empty:
                with open(r'D:\01WorkSpace\python\data_analyze_platform\USER\SPF\alibaba\04BatSoc\\'+'soc_'+sn+'.txt','a') as file:
                    file.write(str(tuple(df_ram_sn.iloc[-1][['time','sn','bms_soc', 'soc']]))+'\n')

#...............................................主函数.......................................................................................................................
if __name__ == "__main__":

    #所有SN号
    SNnums= ['LS002']

    #读取原始数据库数据........................................................................................................................................................
    df_bms= pd.read_excel(r'D:\01WorkSpace\项目\Alibaba\data(1)\原始数据_2022-04-20_2022-05-20\力神_LS001.xlsx')
    now_time=datetime.datetime.strptime('2022-5-2 09:59:00','%Y-%m-%d %H:%M:%S')

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

    #参数初始化.........................................................................................................................................................................
    column_name=['time', 'sn', 'bms_soc', 'soc','cellsoc','standingtime','rampackcrnt','ramcellvolt','kocellvoltmin','kocellvoltmax','ocvweight','as_accum','socstep']
    df_ram=pd.DataFrame(columns=column_name)  



    scheduler = BlockingScheduler()
    scheduler.add_job(soc_cal, 'interval', seconds=0.05, id='soc_job')
    
    try:
        scheduler.start()

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