data_analyze_platform/LIB/FRONTEND/CellStateEstimation/BatSafetyAlarm/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 traceback
from LIB.MIDDLE.CellStateEstimation.Common import log
from LIB.MIDDLE.CellStateEstimation.BatSafetyAlarm.V1_0_1 import CBMSSafetyAlarm

from LIB.MIDDLE.CellStateEstimation.Common import DBDownload
from urllib import parse
import pymysql
import pdb
from apscheduler.schedulers.blocking import BlockingScheduler
import datacompy
import logging
import multiprocessing
#...................................电池包电芯安全诊断函数......................................................................................................................
def diag_cal(df_sn, df_bms_ram, df_alarm_ram, log_name):
    
    # 日志
    logger = logging.getLogger()
    
    fh = logging.handlers.RotatingFileHandler(log_name + ".log", encoding="utf-8",maxBytes=1024*1024*1024, backupCount=5, mode="a")
    # fh = logging.handlers.db_res_engine(log_name + ".log", encoding="utf-8",maxBytes=1024*1024*1024, backupCount=5, mode="a")

    formatter = logging.Formatter("%(asctime)s - %(name)s-%(levelname)s %(message)s")
    fh.setFormatter(formatter)
    logger.addHandler(fh)
    logger.setLevel(logging.INFO)
    logger.info("pid is {}".format(os.getpid()))
    
    # 读取结果数据库
    host2='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com'
    port2=3306
    db2='safety_platform'
    user2='qx_algo_rw'
    password2='qx@123456'
    
    db_res_engine = create_engine(
        "mysql+pymysql://{}:{}@{}:{}/{}?charset=utf8".format(
            user2, parse.quote_plus(password2), host2, port2, db2
        ))
    
    conn = pymysql.connect(host=host2, port=port2, user=user2, password=password2, database=db2)
    cursor = conn.cursor()
    
    result=pd.read_sql("select start_time, end_time, product_id, code, level, info, advice from all_fault_info", 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') & (result['code']=='C599')]
    
    start=time.time()
    now_time=datetime.datetime.now()
    start_time=now_time-datetime.timedelta(seconds=70)
    start_time=start_time.strftime('%Y-%m-%d %H:%M:%S')
    end_time=now_time.strftime('%Y-%m-%d %H:%M:%S')


    for i in range(0, len(df_sn)):
        factory = "骑享"
        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'][3:9] == 'CLL128':    
                celltype=100 # 重卡
                factory = "金茂换电"
            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))

            #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']
            # print(df_bms)

            #电池诊断................................................................................................................................................................
            
            df_diag_ram_sn=df_diag_ram[df_diag_ram['product_id']==sn]
            df_bms_ram_sn=df_bms_ram[df_bms_ram['sn']==sn]
            df_alarm_ram_sn=df_alarm_ram[df_alarm_ram['sn']==sn]
            if df_diag_ram_sn.empty:
                SafetyAlarm=CBMSSafetyAlarm.SafetyAlarm(sn,celltype,df_bms, df_bms_ram_sn,df_alarm_ram_sn)
                df_diag_res, df_bms_res,df_ram_res=SafetyAlarm.safety_alarm_diag() 

                #更新bms的ram数据 和 diag的Ram数据
                sn_index=df_bms_ram.loc[df_bms_ram['sn']==sn].index
                df_bms_ram=df_bms_ram.drop(index=sn_index)
                df_bms_ram=df_bms_ram.append(df_bms_res)
                
                
                sn_index=df_alarm_ram.loc[df_alarm_ram['sn']==sn].index
                df_alarm_ram=df_alarm_ram.drop(index=sn_index)
                df_alarm_ram=df_alarm_ram.append(df_ram_res)

                # sn_index=df_diag_ram.loc[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_res)
                # df_diag_ram.reset_index(inplace=True,drop=True)     #重置索引

                #当前热失控故障写入数据库
                if not df_diag_res.empty:
                    df_diag_res.columns = ['start_time', 'end_time', 'product_id', 'code', 'level', 'info', 'advice']
                    df_diag_res['add_time'] = datetime.datetime.now()
                    df_diag_res['factory'] = factory
                    df_diag_res.to_sql("all_fault_info",con=db_res_engine, if_exists="append",index=False)
                    logger.info(u"{} 写入成功！！！\n".format(sn), exc_info=True)
                
            #当前热失控已超过三天变为历史故障并写入数据库，并删除原有数据库中的当前故障和ram中的当前故障
            else:
                fault_time=datetime.datetime.strptime(df_diag_ram_sn.iloc[-1]['start_time'], '%Y-%m-%d %H:%M:%S')
                if (now_time-fault_time).total_seconds()>24*3600:
                    df_diag_ram_sn['end_time']=end_time
                    df_diag_ram_sn['Batpos']=1
                
                    try:

                        cursor.execute('''
                                    update all_fault_info set update_time='{}',end_time='{}', Batpos={} where product_id='{}' and end_time='0000-00-00 00:00:00' and code='{}'
                                    '''.format(datetime.datetime.now(), end_time, 1,sn, "C599"))
                        conn.commit()
                        logger.info(u"{} 更新成功\n".format(sn), exc_info=True)

                    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)
                  
        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)
        break
    cursor.close()
    conn.close()
    db_res_engine.dispose()
    logger.info("pid-{} Done!".format(os.getpid()))
    return df_bms_ram,df_alarm_ram

#...................................................主进程...........................................................................................................
def mainprocess():
    global SNnums
    global df_bms_ram1, df_bms_ram2, df_alarm_ram1, df_alarm_ram2
    global log_path
    # 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 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();
    process = 2
    pool = multiprocessing.Pool(processes = process)


    res_list=[]
    ram_list1=[df_bms_ram1, df_bms_ram2]
    ram_list2=[df_alarm_ram1, df_alarm_ram1]
    for i in range(process):
        sn_list = df_sn[int(len(df_sn)*i/process):int(len(df_sn)*(i+1)/process)]
        sn_list = sn_list.reset_index(drop=True)
        log_name = log_path + '/log_' + str(i)
        df_bms_ram=ram_list1[i]
        df_alarm_ram=ram_list2[i]
        df_res = pool.apply_async(diag_cal, (sn_list,df_bms_ram,df_alarm_ram,log_name)).get()
        res_list.append(df_res)

    pool.close()
    pool.join()
    df_bms_ram1=res_list[0][0]
    df_bms_ram2=res_list[1][0]
    df_alarm_ram1=res_list[0][1]
    df_alarm_ram2=res_list[1][1]
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='batsafetyAlarm', 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') & (result['code']==119)]
    df_bms_ram1=pd.DataFrame(columns=['time', 'sn', 'packvolt', 'cellvolt', 'celltemp'])
    df_bms_ram2=pd.DataFrame(columns=['time', 'sn', 'packvolt', 'cellvolt', 'celltemp'])
    df_alarm_ram1=pd.DataFrame(columns=['sn','time','safetywarning1','safetywarning2'])
    df_alarm_ram2=pd.DataFrame(columns=['sn','time','safetywarning1','safetywarning2'])
    mainprocess()
    #定时任务.......................................................................................................................................................................
    scheduler = BlockingScheduler()
    scheduler.add_job(mainprocess, 'interval', seconds=60, id='diag_job')

    try:  
        scheduler.start()
    except Exception as e:
        scheduler.shutdown()
        logger.error(str(e))