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- from LIB.MIDDLE.InfoChrgDrive.Charge.V1_0_0.coreV0 import *
- import pymysql
- import datetime
- import pandas as pd
- from LIB.BACKEND import DBManager
- from sqlalchemy import create_engine
- from urllib import parse
- import datetime, time
- from apscheduler.schedulers.blocking import BlockingScheduler
- from LIB.MIDDLE.CellStateEstimation.Common.V1_0_1 import DBDownload
- #from LIB.MIDDLE.CellStateEstimation.Common.V1_0_1 import log
- from LIB.MIDDLE.CellStateEstimation.Common import log
- #...................................充电技术指标统计函数......................................................................................................................
- def diag_cal():
- global SNnums
- start=time.time()
- now_time=datetime.datetime.now()
- start_time=now_time-datetime.timedelta(hours=24)
- start_time=start_time.strftime('%Y-%m-%d %H:%M:%S')
- end_time=now_time.strftime('%Y-%m-%d %H:%M:%S')
- #数据库配置
- host='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com'
- port=3306
- db='qx_cas'
- user='qx_read'
- password='Qx@123456'
- #读取结果库数据......................................................
- param='sn,time_st,time_end,status,delta_time,soc_st,soc_end,volt_st,volt_end,diffvolt_st,diffvolt_end, \
- temp_max,temp_min,temp_incr,temp_mean,temp_st_mean,temp_end_mean,difftem_max,meancrnt,max_meancrnt, \
- sts_flg,full_chrg_flg,ovchrg_flg,ovchrg_prop,gps_lon,gps_lat,standtime_f,standtime_b,city,airtemp_st,airtemp_end'
- tablename='algo_charge_info'
- mysql = pymysql.connect (host=host, user=user, password=password, port=port, database=db)
- cursor = mysql.cursor()
- sql = "select %s from %s where time_end='0000-00-00 00:00:00'" %(param,tablename)
- cursor.execute(sql)
- res = cursor.fetchall()
- df_diag_ram= pd.DataFrame(res,columns=param.split(','))
-
- db_res_engine = create_engine(
- "mysql+pymysql://{}:{}@{}:{}/{}?charset=utf8".format(
- user, parse.quote_plus(password), host, port, db
- ))
- mylog=log.Mylog('log_info_charge.txt','error')
- mylog.logcfg()
- for sn in SNnums:
- try:
-
- #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','gps'])
- df_bms = df_data['bms']
- df_gps = df_data['gps']
- #读取城市天气数据........................................................................................................................................................
- gpscity=pd.read_csv('gps.csv')
-
- #调用主函数................................................................................................................................................................
-
- if not df_bms.empty: #BMS数据非空
- df_merge=pd.merge(df_bms,df_gps,how='outer',sort=True)
- df_merge['sn']=sn
- df_diag_ram_sn=pd.Series()
- if not df_diag_ram.empty: #结果库非空
- df_diag_ram_sn=df_diag_ram[df_diag_ram['sn']==sn]
- if not df_diag_ram_sn.empty: #该sn相关结果非空
- df_diag_ram_sn.reset_index(inplace=True,drop=True)
- df_diag_new,df_diag_change=pro_output(df_merge,sn,gpscity,df_diag_ram_sn)
- if not df_diag_change.empty: #需变更的结果非空
- cursor.execute("DELETE FROM algo_charge_info WHERE time_end = '0000-00-00 00:00:00' and sn='{}'".format(sn))
- mysql.commit()
- df_diag_change.to_sql("algo_charge_info",con=db_res_engine, if_exists="append",index=False)
- #新增结果存入结果库.....................................................................
- if not df_diag_new.empty: #需新增的结果非空
- df_diag_new.to_sql("algo_charge_info",con=db_res_engine, if_exists="append",index=False)
- end=time.time()
- print(end-start)
-
- except Exception as e:
- print(repr(e))
- mylog.logopt(e)
- cursor.close()
- mysql.close()
- #...............................................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'
- excelpath='sn-20210903.xlsx'
- dataSOH = pd.read_excel('sn-20210903.xlsx',sheet_name='sn-20210903')
- SNnums = list(dataSOH['sn'])
-
- mylog=log.Mylog('log_info_charge.txt','error')
- mylog.logcfg()
- diag_cal()
- #定时任务.......................................................................................................................................................................
- scheduler = BlockingScheduler()
- scheduler.add_job(diag_cal, 'interval', hours=24)
- try:
- scheduler.start()
- except Exception as e:
- scheduler.shutdown()
- print(repr(e))
- mylog.logopt(e)
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