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- __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 pandas.core.frame import DataFrame
- from LIB.MIDDLE.SaftyCenter.Common import QX_BatteryParam
- from LIB.MIDDLE.SaftyCenter.CellValueDiag.V1_0_0.SC_SamplingSafty import SamplingSafty
- from LIB.MIDDLE.CellStateEstimation.Common import DBDownload
- from urllib import parse
- import pymysql
- import pdb
- from apscheduler.schedulers.blocking import BlockingScheduler
- import datacompy
- def fun():
- global df_sn
- global db_res_engine
- global logger
- global df_Diag_Ram
- # 读取结果数据库
- host2='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com'
- port2=3306
- db2='safety_platform'
- user2='qx_read'
- password2='Qx@123456'
- start=time.time()
- end_time=datetime.datetime.now()
- start_time=end_time-datetime.timedelta(seconds=120)
- start_time=start_time.strftime('%Y-%m-%d %H:%M:%S')
- end_time=end_time.strftime('%Y-%m-%d %H:%M:%S')
- logger.info("cycle start !!!!!!!!!!!!!!!!!!!!")
- for i in range(0, len(df_sn)):
- 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 df_sn.loc[i, 'imei'][5:9] == 'L420':
- celltype=101 #20ah磷酸铁锂电芯
- elif df_sn.loc[i, 'imei'][5:9] == 'L264':
- celltype=102 #120ah磷酸铁锂电芯
- else:
- logger.info("pid-{} celltype-{} SN: {} SKIP!".format(os.getpid(), "未知", sn))
- continue
- sn = df_sn.loc[i, 'sn']
-
- logger.info("pid-{} celltype-{} SN: {} START!".format(os.getpid(), celltype, sn))
-
-
- param=QX_BatteryParam.BatteryInfo(celltype)
- # sn='PK50201A000002039'
- # celltype=2
- # start_time='2021-05-02 09:12:26'
- # end_time='2021-06-03 19:12:26'
- # # df_bms= pd.read_csv(r'D:\Platform\platform_python\data_analyze_platform\USER\01qixiang\98Download\\'+'BMS_'+sn+'.csv',encoding='GB18030')
- #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.to_csv(r'D:\Platform\platform_python\data_analyze_platform\USER\01qixiang\99Result\\''BMS_'+sn+'.csv',encoding='GB18030')
- #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
-
- # 读取结果数据库
- host2='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com'
- port2=3306
- db2='safety_platform'
- user2='qx_read'
- password2='Qx@123456'
-
- tablename1='cellstateestimation_soh'
- tablename2='cellstateestimation_uniform_socvoltdiff'
- tablename3='cellstateestimation_soc'
- 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)
- # df_soc=DBRead.getdata('time','sn','packsoc', tablename=tablename3, sn=sn)
- #电池诊断................................................................................................................................................................
- #BatDiag=CBMSBatDiag.BatDiag(sn,celltype,df_bms, df_soh, df_uniform)
- #df_res=BatDiag.diag()
- #df_Diag_Ram_old=df_Diag_Ram
- df_Diag_Ram_Update=DataFrame(columns=['start_time', 'end_time', 'product_id', 'code', 'level', 'info','advice'])
- CellFltInfo=DataFrame(columns=['start_time', 'end_time', 'product_id', 'code', 'level', 'info','advice'])
- if not df_bms.empty:
- CellFltInfo=df_Diag_Ram[df_Diag_Ram['product_id']==sn]
- df_Diag_Ram_Update=SamplingSafty.main(sn,param,df_bms,CellFltInfo)
- if not df_Diag_Ram_Update.empty:
- sn_index=df_Diag_Ram[df_Diag_Ram['product_id']==sn].index
- df_Diag_Ram=df_Diag_Ram.drop(index=sn_index)
- df_Diag_Ram=df_Diag_Ram.append(df_Diag_Ram_Update)
- df_Diag_Ram.reset_index(inplace=True,drop=True)
-
- Diag_Ram_Dif=datacompy.Compare(df_Diag_Ram_Update,CellFltInfo,join_columns=['product_id','end_time', 'code'])
- Diag_Ram_Dif=Diag_Ram_Dif.df1_unq_rows
-
-
- if len(Diag_Ram_Dif)>0:
- Diag_Ram_Dif_New=Diag_Ram_Dif[Diag_Ram_Dif['end_time']=='0000-00-00 00:00:00']
- Diag_Ram_Dif_Finish=df_Diag_Ram[df_Diag_Ram['end_time']!='0000-00-00 00:00:00']
- if len(Diag_Ram_Dif_New)>0: # 新增
- Diag_Ram_Dif_New.columns = ['start_time', 'end_time', 'product_id', 'code', 'level', 'info', 'advice']
- Diag_Ram_Dif_New['factory'] = '骑享'
- Diag_Ram_Dif_New.to_sql("all_fault_info",con=db_res_engine, if_exists="append",index=False)
- if len(Diag_Ram_Dif_Finish)>0: # 修改
- Diag_Ram_Dif_Finish=Diag_Ram_Dif_Finish.reset_index(drop=True)
- try:
- conn = pymysql.connect(host=host2, port=port2, user=user2, password=password2, database=db2)
- cursor = conn.cursor()
- for i in range(0,len(Diag_Ram_Dif_Finish)):
- cursor.execute('''
- update all_fault_info set end_time={} where product_id='{}' and code={}
- '''.format(Diag_Ram_Dif_Finish.loc[i,'end_time'], Diag_Ram_Dif_Finish.loc[i,'product_id'], Diag_Ram_Dif_Finish.loc[i,'code']))
- conn.commit()
- conn.close();
- 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)
- conn.close();
- end=time.time()
- logger.info("pid-{} SN: {} DONE!".format(os.getpid(), sn))
- 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)
- if __name__ == "__main__":
-
- # 时间设置
- # now_time = datetime.datetime.now()
- # pre_time = now_time + dateutil.relativedelta.relativedelta(days=-1)# 前一日
- # end_time=datetime.datetime.strftime(now_time,"%Y-%m-%d 00:00:00")
- # start_time=datetime.datetime.strftime(pre_time,"%Y-%m-%d 00:00:00")
-
- 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='qixiang_oss'
- password='Qixiang2021'
- 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")
- res = cursor.fetchall()
- df_sn = pd.DataFrame(res, columns=['sn', 'imei', 'add_time'])
- df_sn = df_sn.reset_index(drop=True)
- conn.close();
-
- # 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_cellvaluediag', 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_read'
- password=parse.quote_plus('Qx@123456')
- tablename='all_fault_info'
- db_res_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))
- result=pd.read_sql("select start_time, end_time, product_id, code, level, info, advice from all_fault_info where factory = '{}'".format('骑享'), db_res_engine)
- 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']
- #定时任务.......................................................................................................................................................................
- scheduler = BlockingScheduler()
- scheduler.add_job(fun, 'interval', seconds=120, id='diag_job')
- try:
- scheduler.start()
- except Exception as e:
- scheduler.shutdown()
- logger.error(str(e))
-
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