data_analyze_platform/LIB/FRONTEND/SaftyCenter/CellValueDiag/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 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
            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))