data_analyze_platform/LIB/FRONTEND/odo/DailyMileageEstimation/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.odo.DailyMileageEstimation.V1_0_4 import calcul_mileage as cal_mileage
from urllib import parse
import pymysql
import pdb
dbManager = DBManager.DBManager()
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
        ))
    
    # 获取sn --- 协议关系
    host = '172.16.121.236'
    port = 3306
    user = 'root'
    password = 'FastFun1234,'
    database = 'fastfun'

    db_pro_engine = create_engine(
        "mysql+pymysql://{}:{}@{}:{}/{}?charset=utf8".format(
            user, password, host, port, database
        ))
    
    df_protocol = pd.read_sql("select devcode,family_id from ff_device", db_pro_engine)
    db_pro_engine.dispose()
    
    # 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='odo_dailyMileageEstimation', 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='qx_cas'
    user='qx_read'
    password='Qx@123456'
    tablename='cellStateEstimation_soh'

    for i in range(0, len(df_sn)):
        try:
            sn = df_sn.loc[i, 'sn']
            logger.info("pid-{}  SN: {} START!".format(os.getpid(), sn))
            dbManager = DBManager.DBManager()
            df_data = dbManager.get_data(sn=sn, start_time=start_time, end_time=end_time, data_groups=['bms','gps'])
            data_bms = df_data['bms']
            data_gps = df_data['gps']

            #...............每日累积里程............................................................................
            if not data_bms.empty and not data_gps.empty and len(data_bms['时间戳'])>0 and len(data_gps['时间戳'])>0:
                protocol = df_protocol[df_protocol['devcode']==sn]['family_id']
                if len(protocol)>0 and str(int(protocol.values[0])) == '13':
                    data_bms['总电流[A]'] = -data_bms['总电流[A]']

                df_res = cal_mileage.calcul_mileage(sn,data_bms,data_gps)
                # df_res.to_csv('Mileage_'+sn+'.csv')
                
                
            # # 处理运行历史数据
            # if (history_run_flag):
            #     this_sn = df_first_data_time[df_first_data_time['sn']==sn]
            #     if (len(this_sn) == 0):
            #         start_time = pd.to_datetime(str(df_sn.loc[df_sn[df_sn['sn']==sn].index, 'add_time'].values[0])).strftime("%Y-%m-%d 00:00:00")
            #     else:
            #         first_data_time = df_first_data_time.loc[df_first_data_time[df_first_data_time['sn']==sn].index, 'first_data_time'].values[0]
            #         if pd.isnull(first_data_time):
            #             start_time = "2018-01-01 00:00:00"
            #         else:
            #             start_time = pd.to_datetime(str(df_first_data_time.loc[df_first_data_time[df_first_data_time['sn']==sn].index, 'first_data_time'].values[0])).strftime("%Y-%m-%d 00:00:00")

            if not df_res.empty:

                df_res.columns = ['time', 'sn', 'current', 'voltage', 'soc', 'charging_status', 'latitude', 'longitude', 'energy_consump',  'mileage']
                df_res.to_sql("odo_dailyMileageEstimation",con=db_engine, if_exists="append",index=False)
            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)
    db_engine.dispose()