__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.SC_BMSUploadError import BMSReportError from LIB.MIDDLE.SaftyCenter.DataDiag_Static import CBMSBatDiag from LIB.MIDDLE.SaftyCenter.Common import DBDownload as DBDw from LIB.MIDDLE.CellStateEstimation.Common.V1_0_1 import BatParam as 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 # 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(); # 故障映射表 host='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com' port=3306 db='algo_dict' user='qx_algo_rw' password=parse.quote_plus('qx@123456') db_engine = create_engine( "mysql+pymysql://{}:{}@{}:{}/{}?charset=utf8".format( user, password, host, port, db )) errorcode_map = pd.read_sql("select * from faultcode_map", db_engine) db_engine.dispose() # 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 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)): <<<<<<< HEAD print(df_sn.loc[i, 'imei']) try: sn = df_sn.loc[i, 'sn'] factory = "骑享" ======= try: factory = "骑享" sn = df_sn.loc[i, 'sn'] >>>>>>> dev if df_sn.loc[i, 'imei'][5:9] == 'N640': celltype=1 #6040三元电芯 FactoryType = 1 elif df_sn.loc[i, 'imei'][5:9] == 'N440': celltype=2 #4840三元电芯 FactoryType = 1 elif df_sn.loc[i, 'imei'][5:9] == 'L660': celltype=99 # 6060锂电芯 FactoryType = 1 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 FactoryType = 3 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 FactoryType = 2 elif 'TJMCL'in sn: # 金茂 celltype=100 #CATL 50ah三元电芯 factory = "金茂换电" FactoryType = 0 else: logger.info("pid-{} celltype-{} SN: {} SKIP!".format(os.getpid(), "未知", sn)) continue <<<<<<< HEAD ======= # sn = 'PK504B10100004349' # start_time = '2021-12-30 18:00:04' # end_time = '2021-12-30 18:15:04' >>>>>>> dev logger.info("pid-{} celltype-{} SN: {} START!".format(os.getpid(), celltype, sn)) # sys.exit() param=QX_BatteryParam.BatParam(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 <<<<<<< HEAD batDiag=CBMSBatDiag.BatDiag(sn,celltype,df_bms, df_soh, df_uniform, df_Diag_Batdiag_update_xq2)#鹏飞计算 # df_Diag_Batdiag_update2=batDiag.diag() # df_Diag_Batdiag_update=BMSReportError.main(sn,df_bms,df_Diag_Batdiag_update2,FactoryType,errorcode_map) df_Diag_Batdiag_update=batDiag.diag() ======= # batDiag=CBMSBatDiag.BatDiag(sn,celltype,df_bms, df_soh, df_uniform, df_Diag_Batdiag_update_xq2)#鹏飞计算 # df_Diag_Batdiag_update2=batDiag.diag() # df_Diag_Batdiag_update=BMSReportError.main(sn,df_bms,df_Diag_Batdiag_update2,FactoryType,errorcode_map) df_Diag_Batdiag_update=BMSReportError.main(sn,df_bms,df_Diag_Batdiag_update_xq2,FactoryType,errorcode_map) # df_Diag_Batdiag_update=batDiag.diag() >>>>>>> dev # 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']) <<<<<<< HEAD ======= df_Diag_Batdiag_update2=DataFrame(columns=['start_time','end_time','product_id','code','level','info','advice','Batpos']) >>>>>>> dev 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",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 <<<<<<< HEAD ======= >>>>>>> dev df_Diag_Ram_Update = df_Diag_Ram_Update.reset_index(drop=True) try: for i in range(0,len(df_Diag_Ram_Update)): sql = ''' <<<<<<< HEAD update all_fault_info set update_time='{}', end_time='{}', Batpos={} where product_id='{}' and code={} and start_time='{}' ======= update all_fault_info set update_time='{}', end_time='{}', Batpos={} where product_id='{}' and code='{}' and start_time='{}' >>>>>>> dev '''.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: <<<<<<< HEAD ======= >>>>>>> dev logger.error(sql) 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 : <<<<<<< HEAD ======= if (sn == 'MGMLXN750N21AN014' or sn == 'MGMLXN750N21B5011'): continue >>>>>>> dev 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................................ 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' 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!") df_fltinfopt=DataFrame(columns=['product_id','level','code','start_time','end_time','batpos','factory']) DBRead=DBDw.DBDownload(host, port, db, user, password,mode) for i in range (0,len(factory_info)): 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 df_fltinfopt=df_fltinfopt.append(df_fltinfo) df_fltinfopt=df_fltinfopt.reset_index(drop=True) for j in range(0,len(factory_info)): toweek='Week'+time.strftime('%W') df_fltinfo=df_fltinfopt[df_fltinfopt['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.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' 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) # # 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) <<<<<<< HEAD log = Log.Mylog(log_name='saftyCenter_DataSta&Static', log_level = 'info') ======= log = Log.Mylog(log_name='saftyCenter_DataSta&Static_test', log_level = 'info') >>>>>>> dev 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())) <<<<<<< HEAD # 算法参数 ======= # 算法参数 >>>>>>> dev 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' 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", 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() <<<<<<< HEAD # DaTa_Sta_Minutes_Task() # DaTa_Sta_Week_Task() ======= DaTa_Sta_Minutes_Task() DaTa_Sta_Week_Task() >>>>>>> dev #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))