data_analyze_platform/USER/SPF/01qixiang/05BatDiag/deploy.py

__author__ = 'lmstack'
#coding=utf-8
import os
import datetime
import pandas as pd
from LIB.BACKEND import DBManager, Log
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
import time, datetime
import dateutil.relativedelta
import traceback
from LIB.MIDDLE.CellStateEstimation.Common import log
from LIB.MIDDLE.CellStateEstimation.Common.V1_0_1 import DBDownload as DBDownload
import time, datetime
from pandas.core.frame import DataFrame
from apscheduler.schedulers.blocking import BlockingScheduler
from LIB.MIDDLE.SaftyCenter.DataDiag_Static.DataStatistics import DataSta
from LIB.MIDDLE.SaftyCenter.DataDiag_Static.SC_CtrlSafty import CtrlSafty
from LIB.MIDDLE.SaftyCenter.DataDiag_Static.DiagDataMerge import DiagDataMerge
from LIB.MIDDLE.SaftyCenter.DataDiag_Static.SC_SamplingSafty import SamplingSafty
from LIB.MIDDLE.SaftyCenter.DataDiag_Static import CBMSBatDiag
from LIB.MIDDLE.SaftyCenter.Common import DBDownload as DBDw
from LIB.MIDDLE.SaftyCenter.Common import QX_BatteryParam
from urllib import parse
import pymysql


#...................................电池包电芯安全诊断函数......................................................................................................................
def diag_cal():
    task_on=1
    global SNnums
    # global df_Diag_Ram
    global start
    global df_sn
    
    # 算法参数
    host='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com'
    port=3306
    db='safety_platform'
    user='qx_algo_rw'
    password=parse.quote_plus('qx@123456')
    db_engine = create_engine(
        "mysql+pymysql://{}:{}@{}:{}/{}?charset=utf8".format(
            user, password, host, port, db
        ))

        
    #............................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................``
    # print("select start_time, end_time, product_id, code, level, info, advice, factory from {}".format(tablename))
    try:
        df_Diag_Ram=pd.read_sql("select start_time, end_time, product_id, code, level, info, advice, Batpos from all_fault_info_copy where end_time='0000-00-00 00:00:00'", db_engine)
    finally:
        db_engine.dispose()
    # df_Diag_Ram=df_Diag_Ram.dropna(axis=1,how='any')
    # df_Diag_Ram=df_Diag_Ram.reset_index(drop=True)    
    #读取结果数据库数据........................................................................................................................................................
    host1='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com'
    port1=3306
    db1='qx_cas'
    user1='qx_algo_rw'
    password1='qx@123456'
    mode=1
    tablename1='cellstateestimation_soh'
    tablename2='cellstateestimation_uniform_socvoltdiff'       
    DBRead=DBDownload.DBDownload(host1, port1, db1, user1, password1,mode)
    DBRead.connect()

    #读取电池当前运营状态.....................................................................................................................................................
    host2='rm-bp10j10qy42bzy0q7.mysql.rds.aliyuncs.com'
    port2=3306
    db2='qixiang_manage'
    user2='qx_algo_rw'
    password2='qx@123456'
    mode=4
    tablename3='py_battery'     
    DBReadOpe=DBDw.DBDownload(host2, port2, db2, user2, password2,mode)
    DBReadOpe.connect()
    
    host3='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com'
    port3=3306
    db3='safety_platform'
    user3='qx_algo_rw'
    password3='qx@123456'
    db_engine = create_engine(
    "mysql+pymysql://{}:{}@{}:{}/{}?charset=utf8".format(
        user3, parse.quote_plus(password3), host3, port3, db3
    ))
    conn_platform = pymysql.connect(host=host3, port=port3, user=user3, password=password3, database=db3)
    cursor_platform = conn_platform.cursor()
    #..................................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')
    logger.info(" diag_cal START!")

    for i in range(0, len(df_sn)):
        print(df_sn.loc[i, 'imei'])
        try:
            if df_sn.loc[i, 'imei'][5:9] == 'N640':
                celltype=1 #6040三元电芯
            elif df_sn.loc[i, 'imei'][5:9] == 'N440':
                celltype=2 #4840三元电芯
            elif df_sn.loc[i, 'imei'][5:9] == 'L660':
                celltype=99 # 6060锂电芯
            elif df_sn.loc[i, 'imei'][3:5] == 'LX' and df_sn.loc[i, 'imei'][5:9] == 'N750':    
                celltype=3 #力信 50ah三元电芯
            elif df_sn.loc[i, 'imei'][3:5] == 'CL' and df_sn.loc[i, 'imei'][5:9] == 'N750': 
                celltype=4 #CATL 50ah三元电芯
            elif 'TJMCL'in sn: # 金茂
                celltype=100 #CATL 50ah三元电芯
            else:
                logger.info("pid-{} celltype-{} SN: {} SKIP!".format(os.getpid(), "未知", sn))
                continue
            sn = df_sn.loc[i, 'sn']
            factory = df_sn.loc[i, 'factory']
            logger.info("pid-{} celltype-{} SN: {} START!".format(os.getpid(), celltype, sn))
            # 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']
            df_bms=df_bms.dropna(subset=['总电流[A]'])
            df_bms=df_bms.reset_index(drop=True)
            # 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)


            # with DBReadOpe as DBReadOpe:
            df_OprtnSta=DBReadOpe.getdata('qrcode','status', tablename=tablename3, 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 = df_Diag_Ram.loc[df_Diag_Ram['product_id']!=sn]#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)#采样安全   
                df_Diag_Batdiag_update_xq2=CtrlSafty.main(sn,param,df_bms,df_Diag_Batdiag_update_xq)#控制安全
  
                batDiag=CBMSBatDiag.BatDiag(sn,celltype,df_bms, df_soh, df_uniform, df_Diag_Batdiag_update_xq2)#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_xq2=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_add,df_Diag_Ram_Update=DiagDataMerge.DetaMerge(df_Diag_Ram_sn,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')
            if len(df_Diag_Ram_add) > 0:#新增故障
                
                df_Diag_Ram_add.columns = ['start_time', 'end_time', 'product_id', 'code', 'level', 'info','advice', 'Batpos']
                df_Diag_Ram_add['factory'] = factory
                df_Diag_Ram_add['add_time'] = datetime.datetime.now()
                df_Diag_Ram_add.to_sql("all_fault_info_copy",con=db_engine, if_exists="append",index=False)
                df_Diag_Ram_add.to_csv(r'D:\Work\Code_write\data_analyze_platform\USER\01Screen_Problem\result_add.csv',index=False,encoding='GB18030')
            if len(df_Diag_Ram_Update) > 0:#更改故障
                df_Diag_Ram_Update = df_Diag_Ram_Update.reset_index(drop=True)
                try:
                    logger.info(df_Diag_Ram_Update)
                    for i in range(0,len(df_Diag_Ram_Update)):
                        sql = '''
                                    update all_fault_info_copy set update_time='{}', end_time='{}', Batpos={} where product_id='{}' and code={} and start_time='{}'
                                    '''.format(datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'), df_Diag_Ram_Update.loc[i,'end_time'], df_Diag_Ram_Update.loc[i, 'Batpos'],
                                               df_Diag_Ram_Update.loc[i,'product_id'], df_Diag_Ram_Update.loc[i,'code'], 
                                               df_Diag_Ram_Update.loc[i,'start_time'])
                        cursor_platform.execute(sql)
                        conn_platform.commit()
                except:
                    logger.error(traceback.format_exc)
                    logger.error(u"{} ：{},{} 任务运行错误\n".format(sn,start_time,end_time), exc_info=True)

                # df_Diag_Ram_Update_change.to_csv(r'D:\Work\Code_write\data_analyze_platform\USER\01Screen_Problemm\result_change.csv',index=False,encoding='GB18030')
            end=time.time()
            logger.info("pid-{} celltype-{} SN: {} DONE!".format(os.getpid(), celltype, sn))
         
        except Exception as e :
            logger.error(traceback.format_exc)
            logger.error(str(e))
            logger.error(u"{} ：{},{} 任务运行错误\n".format(sn,start_time,end_time), exc_info=True)
    
    DBReadOpe.close()
    DBRead.close()   
    cursor_platform.close()
    conn_platform.close()
    db_engine.dispose()
    logger.info(" diag_cal Done!")
    task_on=0

#.................................统计程序...............................
def DaTa_Sta_Week_Task():
    task_on=1
    factory_info=['骑享','金茂换电']

    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_algo_rw'
    password='qx@123456'
    mode=2
    tablename1='all_fault_info_copy'
    
    db_engine = create_engine(
    "mysql+pymysql://{}:{}@{}:{}/{}?charset=utf8".format(
        user, parse.quote_plus(password), host, port, db
    ))

    try:
        logger.info("DaTa_Sta_Week_Task START!")

        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','factory',tablename=tablename1,factory='',sn='',timename='',st='',sp='')#dbdownload经过了改编
        for j in range(0,len(factory_info)):
            df_fltinfo=df_fltinfo[df_fltinfo['factory']==factory_info[j]]
            #............................获取时间................................      
            end_time=datetime.datetime.now()
            # end_time=datetime.datetime.strptime(end_time,'%Y-%m-%d')
            start_time_week=end_time-datetime.timedelta(days=7)
            start_time_week=start_time_week.strftime('%Y-%m-%d')
            end_time=end_time.strftime('%Y-%m-%d')
            FltAlarmInfo,Celltype=DataSta.SaftyWarningSta(df_fltinfo,start_time_week,end_time,factory_info[j])
            FaultLvlCount=DataSta.WeekInfoSta(df_fltinfo,start_time_week,end_time)
            for i in range(1,6):
                if not FaultLvlCount[FaultLvlCount['level']==i]['product_id'].empty:
                    all_period_fault_info.loc[j,'level'+str(i)+'_count']=int(FaultLvlCount[FaultLvlCount['level']==i]['product_id'].values)
                else:
                    all_period_fault_info.loc[j,'level'+str(i)+'_count']=int(0)
            all_period_fault_info.loc[j,'factory']=factory_info[j]
            all_period_fault_info.loc[j,'week']=toweek
            all_period_fault_info.loc[j,'solve_rate']=FltAlarmInfo.loc[0,'OprationManageRate']
            all_period_fault_info.fillna(0,inplace=False)
            if not all_period_fault_info.empty:
                all_period_fault_info.loc[j].to_sql('all_period_fault_info', db_engine, if_exists='append', index=False)
            
            logger.info("DaTa_Sta_Week_Task DONE!")
    except Exception as e:
        logger.error(traceback.format_exc)
        logger.error(u" 任务运行错误\n".format(), exc_info=True)
    finally:
        db_engine.dispose()
    task_on=0
    # all_period_fault_info.to_csv('all_period_fault_info.csv')
    
def DaTa_Sta_Minutes_Task():
    task_on=1
    factory_info=['骑享','金茂换电']

    #............................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_algo_rw'
    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_algo_rw'
    password='qx@123456'
    mode=2
    tablename1='all_fault_info_copy'
    db_engine = create_engine(
    "mysql+pymysql://{}:{}@{}:{}/{}?charset=utf8".format(
        user, parse.quote_plus(password), host, port, db
    ))
    DBRead=DBDw.DBDownload(host, port, db, user, password,mode)
    
        #............................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................................
    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','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'])
    for j in range(0,len(factory_info)):
        with DBRead as DBRead:
            df_fltinfo=DBRead.getdata('product_id','level','code','start_time','batpos',tablename=tablename1,factory=factory_info[j],sn='',timename='',st='',sp='')#dbdownload经过了改编
            
        #............................执行程序................................
        FltAlarmInfo,Celltype=DataSta.SaftyWarningSta(df_fltinfo,start_time,end_time,factory_info[j])
        SatftyCount=DataSta.SftyWrngClsfy(df_fltinfo)
        MaxAccumAh,TotalAccumAh,MaxCycle,MaxRunningHour,TotalRunHour=DataSta.AccumInfo(df_last_accum,df_FirstDataTime,end_time,factory_info[j])
        all_location_info=DataSta.FltBatPosition(df_last_pos,df_fltinfo,factory_info[j])

        all_statistic_info.loc[j,'factory']=factory_info[j]
        all_statistic_info.loc[j,'total_alarm']=FltAlarmInfo.loc[0,'SftyPlt_Data_Total']
        all_statistic_info.loc[j,'alarm_total_today']=FltAlarmInfo.loc[0,'SftyPlt_Data_day']
        all_statistic_info.loc[j,'alarm_close_today']=FltAlarmInfo.loc[0,'CS_Warning_day_Finish_Count']
        all_statistic_info.loc[j,'alarm_not_close_today']=FltAlarmInfo.loc[0,'SftyPlt_Data_day']-FltAlarmInfo.loc[0,'CS_Warning_day_Finish_Count']
        all_statistic_info.loc[j,'alarm_uregent_total_today']=FltAlarmInfo.loc[0,'SftyPlt_EmgcyData_day']
        all_statistic_info.loc[j,'alarm_uregent_close_today']=FltAlarmInfo.loc[0,'SftyPlt_EmgcyData_day_Finish_Count']
        all_statistic_info.loc[j,'alarm_uregent_not_close_today']=FltAlarmInfo.loc[0,'SftyPlt_EmgcyData_day']-FltAlarmInfo.loc[0,'SftyPlt_EmgcyData_day_Finish_Count']
        all_statistic_info.loc[j,'run_time_total']=TotalRunHour
        all_statistic_info.loc[j,'dischrg_total']=TotalAccumAh
        all_statistic_info.loc[j,'odo_total']=0
        all_statistic_info.loc[j,'max_dischrg_one']=MaxAccumAh
        all_statistic_info.loc[j,'max_runtime_one']=MaxRunningHour
        all_statistic_info.loc[j,'max_cycle_one']=MaxCycle
        all_statistic_info.loc[j,'max_odo_one']=0
        all_statistic_info.loc[j,'alarm_close_total']=FltAlarmInfo.loc[0,'CS_Warning_Total_Finish_Count']
        all_statistic_info.loc[j,'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[j,'cell_type_count']=str(CellTypeCount)
        all_statistic_info.loc[j,'cell_safety_risk_count']=SatftyCount.loc[0,'CellSaftyCount']
        all_statistic_info.loc[j,'data_safety_risk_count']=SatftyCount.loc[0,'DataSaftyCodeCount']
        all_statistic_info.loc[j,'status_safety_risk_count']=SatftyCount.loc[0,'StateSaftyCodeCount']
        all_statistic_info.loc[j,'hv_safety_risk_count']=SatftyCount.loc[0,'HvSaftyCodeCount']
        all_statistic_info.loc[j,'system_safety_risk_count']=SatftyCount.loc[0,'SysSaftyCodeCount']
        all_statistic_info.loc[j,'sample_safety_risk_count']=SatftyCount.loc[0,'SamplingSatyCount']
        all_statistic_info.loc[j,'controller_safety_risk_count']=SatftyCount.loc[0,'CtrlSaftyCodeCount']
        all_statistic_info.loc[j,'design_safety_risk_count']=SatftyCount.loc[0,'DsnSaftyCodeCount']
        # all_statistic_info.to_csv('all_statistic_info.csv')
    #
        try:
            logger.info("DaTa_Sta_Minutes_Task START!")
            # 更新统计信息
            conn = pymysql.connect(host=host, port=port, user=user, password=password, database=db)
            cursor = conn.cursor()
            sql = ''' update all_statistic_info set update_time='{}', total_alarm={}, alarm_total_today={}, alarm_close_today={}, alarm_not_close_today={},
                        alarm_uregent_total_today={}, alarm_uregent_close_today={},alarm_uregent_not_close_today={},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={}
                        where factory='{}' 
                        '''.format(datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'), all_statistic_info.loc[j,'total_alarm'], all_statistic_info.loc[j,'alarm_total_today'],all_statistic_info.loc[j,'alarm_close_today'],
                                all_statistic_info.loc[j,'alarm_not_close_today'],all_statistic_info.loc[j,'alarm_uregent_total_today'],all_statistic_info.loc[j,'alarm_uregent_close_today'],
                                all_statistic_info.loc[j,'alarm_uregent_not_close_today'],all_statistic_info.loc[j,'run_time_total'],all_statistic_info.loc[j,'dischrg_total'],
                                all_statistic_info.loc[j,'odo_total'],all_statistic_info.loc[j,'max_dischrg_one'],all_statistic_info.loc[j,'max_runtime_one'],
                                all_statistic_info.loc[j,'max_cycle_one'],all_statistic_info.loc[j,'max_odo_one'],all_statistic_info.loc[j,'alarm_close_total'],
                                all_statistic_info.loc[j,'alarm_total'],all_statistic_info.loc[j,'cell_type'],all_statistic_info.loc[j,'cell_type_count'],
                                all_statistic_info.loc[j,'cell_safety_risk_count'],all_statistic_info.loc[j,'data_safety_risk_count'],all_statistic_info.loc[j,'status_safety_risk_count'],
                                all_statistic_info.loc[j,'hv_safety_risk_count'],all_statistic_info.loc[j,'system_safety_risk_count'],all_statistic_info.loc[j,'sample_safety_risk_count'],
                                    all_statistic_info.loc[j,'controller_safety_risk_count'],all_statistic_info.loc[j,'design_safety_risk_count'],all_statistic_info.loc[j,'factory'])
            cursor.execute(sql)
            conn.commit()
            # 更新故障位置信息
            if not all_location_info.empty:
                sql = "delete from all_fault_location_info where factory='{}'".format(all_statistic_info.loc[j,'factory'])
                cursor.execute(sql)
                all_location_info.to_sql('all_fault_location_info', db_engine, if_exists='append', index=False)
                conn.commit()
            logger.info("DaTa_Sta_Minutes_Task DONE!")

        except:
            logger.error(traceback.format_exc)
            logger.error(u"{},{} 任务运行错误\n".format(start_time,end_time), exc_info=True)
        finally:
            conn.close();
            db_engine.dispose();
    task_on=0


if __name__ == "__main__":
    
    # # 时间设置

    # now_time = datetime.datetime.now()
    # pre_time = now_time + dateutil.relativedelta.relativedelta(hours=-1)#上小时时间
    # end_time=datetime.datetime.strftime(now_time,"%Y-%m-%d %H:00:00")
    # start_time=datetime.datetime.strftime(pre_time,"%Y-%m-%d %H:00:00")
    
    # history_run_flag = False # 历史数据运行标志
    

    # 更新sn列表
    host='rm-bp10j10qy42bzy0q7.mysql.rds.aliyuncs.com'
    port=3306
    db='qixiang_oss'
    user='qx_algo_rw'
    password='qx@123456'
    conn = pymysql.connect(host=host, port=port, user=user, password=password, database=db)
    cursor = conn.cursor()
    cursor.execute("select sn, imei, add_time from app_device where status in (1,2,3)")
    res = cursor.fetchall()
    df_sn = pd.DataFrame(res, columns=['sn', 'imei', 'add_time'])
    df_sn = df_sn.reset_index(drop=True)
    cursor.close()
    conn.close();
    df_sn['factory'] = '骑享'
    
    db = 'qx_cas'
    conn = pymysql.connect(host=host, port=port, user=user, password=password, database=db)
    cursor = conn.cursor()
    cursor.execute("select sn, factory from sn_list")
    res = cursor.fetchall()
    df_sn2 = pd.DataFrame(res, columns=['sn', 'factory'])
    df_sn2['imei'] = ""
    df_sn = pd.concat([df_sn, df_sn2], axis=0)
    df_sn = df_sn.reset_index(drop=True)

    df_sn=df_sn[df_sn['sn']=='PK504B00100004103']
    df_sn.reset_index(inplace=True,drop=True)
    # # 数据库配置
    # host = 'rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com'
    # port = 3306
    # user = 'qx_cas'
    # password = parse.quote_plus('Qx@123456')
    # database = 'qx_cas'

    # db_engine = create_engine(
    #     "mysql+pymysql://{}:{}@{}:{}/{}?charset=utf8".format(
    #         user, password, host, port, database
    #     ))
    # DbSession = sessionmaker(bind=db_engine)
    
    # # 运行历史数据配置
    
    # df_first_data_time = pd.read_sql("select * from bat_first_data_time", db_engine)

    
    # 日志配置
    now_str = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()).replace(":","_")
    log_path = 'log/' + now_str
    if not os.path.exists(log_path):
        os.makedirs(log_path)
    log = Log.Mylog(log_name='saftyCenter_DataSta&Static', log_level = 'info')
    log.set_file_hl(file_name='{}/info.log'.format(log_path), log_level='info', size=1024* 1024 * 100)
    log.set_file_hl(file_name='{}/error.log'.format(log_path), log_level='error', size=1024* 1024 * 100)
    logger = log.get_logger()

    logger.info("pid is {}".format(os.getpid()))
    
    
     # 算法参数
    host='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com'
    port=3306
    db='safety_platform'
    user='qx_algo_rw'
    password=parse.quote_plus('qx@123456')
    tablename='all_fault_info_copy'
    db_engine = create_engine(
        "mysql+pymysql://{}:{}@{}:{}/{}?charset=utf8".format(
            user, password, host, port, db
        ))

        
    #............................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................``
    # print("select start_time, end_time, product_id, code, level, info, advice, factory from {}".format(tablename))
    try:
        df_Diag_Ram=pd.read_sql("select start_time, end_time, product_id, code, level, info, advice, Batpos from all_fault_info_copy", db_engine)
    finally:
        db_engine.dispose()
    # result = result[['start_time', 'end_time', 'product_id', 'code', 'level', 'info', 'advice']]
    # df_Diag_Ram=result[result['end_time']=='0000-00-00 00:00:00']

    global task_on
    
    task_on=0
    diag_cal()
    # DaTa_Sta_Minutes_Task()
    # DaTa_Sta_Week_Task()

    #定时任务.......................................................................................................................................................................
    scheduler = BlockingScheduler()
    if task_on==0:
        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()
        logger.error(str(e))