data_analyze_platform/LIB/FRONTEND/CellStateEstimation/BatDiag/deploy_test.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.BatDiag.V1_0_0 import CBMSBatDiag

from LIB.MIDDLE.CellStateEstimation.Common.V1_0_1 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():
    global df_sn, df_bms_ram

    start=time.time()
    now_time=datetime.datetime.now()
    start_time=now_time-datetime.timedelta(seconds=310)
    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='safety_platform'
    user='qx_read'
    password='Qx@123456'

    #读取故障结果库中当前故障......................................................
    param='start_time,end_time,product_id,code,level,info,advice'
    tablename='all_fault_info_copy'
    mysql = pymysql.connect (host=host, user=user, password=password, port=port, database=db)
    cursor = mysql.cursor()
    sql =  "select %s from %s where end_time='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
        ))


    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']

            #读取结果数据库数据........................................................................................................................................................
            db='qx_cas'
            mode=1
            tablename1='cellstateestimation_soh'
            tablename2='cellstateestimation_uniform_socvoltdiff'
            # tablename3='cellstateestimation_soc'
            DBRead=DBDownload.DBDownload(host, port, db, user, password,mode)
            with DBRead as DBRead:
                print(sn,start_time,end_time)
                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................................................................................................................................................................
            if not df_bms.empty:
                df_diag_ram_sn=df_diag_ram[df_diag_ram['product_id']==sn]
                df_diag_ram_sn.reset_index(inplace=True,drop=True)
                df_bms_ram_sn=df_bms_ram[df_bms_ram['sn']==sn]
                df_bms_ram_sn.reset_index(inplace=True,drop=True)

                batquality=CBMSBatDiag.BatDiag(sn,celltype,df_bms,df_diag_ram_sn,df_bms_ram_sn,df_soh,df_uniform)
                df_diag_res, df_bms_res=batquality.diag()   #获取电池故障结果和电池评分结果

                #更新bms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)

                #历史故障筛选并更改数据库故障结束时间.........................................................
                if not df_diag_res.empty:
                    df_diag_new = pd.concat([df_diag_res,df_diag_ram_sn,df_diag_ram_sn]).drop_duplicates(subset=['start_time','code'],keep=False)#此次判断中新增故障
                    df_diag_new.reset_index(inplace=True,drop=True)  #重置索引
                    df_diag_end=pd.concat([df_diag_res,df_diag_new,df_diag_new]).drop_duplicates(subset=['start_time','code'],keep=False)#此次判断中新增故障
                    df_diag_end=df_diag_end[df_diag_end['end_time'] != '0000-00-00 00:00:00']
                    df_diag_end.reset_index(inplace=True,drop=True)  #重置索引

                    if not df_diag_end.empty:   #变为历史故障更改数据库
                        for j in range(len(df_diag_end)):
                            cursor.execute('''
                                        update all_fault_info_copy set update_time='{}',end_time='{}', Batpos={} where product_id='{}' and end_time='0000-00-00 00:00:00' and code='{}'
                                        '''.format(datetime.datetime.now(), df_diag_end.loc[j,'end_time'], 1 ,sn, df_diag_end.loc[j,'code']))
                            mysql.commit()

                    #新增故障筛选并存入数据库.....................................................................
                    if not df_diag_new.empty:  #新增写入数据库
                        df_diag_new.to_sql("all_fault_info_copy",con=db_res_engine, if_exists="append",index=False)

            end=time.time()
            print(end-start)  
            
        except Exception as e:
            logger.error(traceback.format_exc)
            logger.error(u"{} ：{},{} 任务运行错误\n".format(sn,start_time,end_time), exc_info=True)

    cursor.close()
    mysql.close()

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 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)
    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_test/' + now_str
    if not os.path.exists(log_path):
        os.makedirs(log_path)
    log = Log.Mylog(log_name='batDiag', 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_ram=pd.DataFrame(columns=['time', 'sn', 'packvolt', 'cellvolt', 'celltemp'])
    diag_cal()
    #定时任务.......................................................................................................................................................................
    scheduler = BlockingScheduler()
    scheduler.add_job(diag_cal, 'interval', seconds=300, id='diag_job')

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