data_analyze_platform/LIB/MIDDLE/InfoChrgDrive/Charge/main_V0.py

from LIB.MIDDLE.InfoChrgDrive.Charge.V1_0_0.coreV0 import *
import pymysql
import datetime
import pandas as pd
from LIB.BACKEND import DBManager
dbManager = DBManager.DBManager()
from sqlalchemy import create_engine
from urllib import parse
import datetime, time
from apscheduler.schedulers.blocking import BlockingScheduler
import os
import traceback
import logging
import logging.handlers

#...................................充电技术指标统计函数......................................................................................................................
def diag_cal():
    global SNnums
    global kmeans1,kmeans2,kmeans3,kmeans4,kmeans5

    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='safety_platform'
    user='qx_algo_rw'
    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,charge_env'
    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
        ))


    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('LIB/MIDDLE/InfoChrgDrive/Charge/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
                chrg_last=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: 
                        df_diag_ram_sn['time_end']=list(map(lambda x: datetime.datetime.strptime(str(x),'%Y-%m-%d %H:%M:%S'),list(df_diag_ram_sn['time_end'])))
                        df_diag_ram_sn = df_diag_ram_sn.sort_values(by = 'time_end')
                        df_diag_ram_sn.reset_index(inplace=True,drop=True)
                        chrg_last=df_diag_ram_sn.iloc[-1]
                        time_end=chrg_last['time_end']

                df_diag_new,df_diag_change=pro_output(df_merge,sn,gpscity,chrg_last)

                df_diag_new=prediction(df_diag_new,kmeans1,kmeans2,kmeans3,kmeans4,kmeans5)
                df_diag_change=prediction(df_diag_change,kmeans1,kmeans2,kmeans3,kmeans4,kmeans5)
                if not df_diag_change.empty:   #需变更的结果非空
                    cursor.execute("DELETE FROM algo_charge_info WHERE time_end = '{}' and sn='{}'".format(time_end,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:
            logger.error(str(e))
            logger.error(traceback.format_exc())

    cursor.close()
    mysql.close()

#...............................................主函数起定时作用.......................................................................................................................
if __name__ == "__main__":
    # 日志
    log_path = 'log/'
    if not os.path.exists(log_path):
        os.makedirs(log_path)
    logger = logging.getLogger("main")
    logger.setLevel(logging.DEBUG)
    
     # 根据日期滚动(每天产生1个文件)
    fh = logging.handlers.TimedRotatingFileHandler(filename='{}/main_info.log'.format(log_path), when="D", interval=1, backupCount=30,
                                                    encoding="utf-8")
    formatter = logging.Formatter("%(asctime)s - %(name)s-%(levelname)s %(message)s")
    fh.suffix = "%Y-%m-%d_%H-%M-%S"
    fh.extMatch = re.compile(r"^\d{4}-\d{2}-\d{2}_\d{2}-\d{2}-\d{2}")
    fh.setFormatter(formatter)
    fh.setLevel(logging.INFO)
    logger.addHandler(fh)

    fh = logging.handlers.TimedRotatingFileHandler(filename='{}/main_error.log'.format(log_path), when="D", interval=1, backupCount=30,
                                                    encoding="utf-8")
    formatter = logging.Formatter("%(asctime)s - %(name)s-%(levelname)s %(message)s")
    fh.suffix = "%Y-%m-%d_%H-%M-%S"
    fh.extMatch = re.compile(r"^\d{4}-\d{2}-\d{2}_\d{2}-\d{2}-\d{2}")
    fh.setFormatter(formatter)
    fh.setLevel(logging.ERROR)
    logger.addHandler(fh)

    logger.info("pid is {}".format(os.getpid()))

    # # 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();
    
    SNnums = list(df_sn['sn'])

    kmeans1 = joblib.load('LIB/MIDDLE/InfoChrgDrive/Charge/kmeans1.pkl')
    kmeans2 = joblib.load('LIB/MIDDLE/InfoChrgDrive/Charge/kmeans2.pkl')
    kmeans3 = joblib.load('LIB/MIDDLE/InfoChrgDrive/Charge/kmeans3.pkl')
    kmeans4 = joblib.load('LIB/MIDDLE/InfoChrgDrive/Charge/kmeans4.pkl')
    kmeans5 = joblib.load('LIB/MIDDLE/InfoChrgDrive/Charge/kmeans5.pkl')

    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()
        logger.error(str(e))
        logger.error(traceback.format_exc())