data_analyze_platform/LIB/FRONTEND/SaftyCenter/status_sta/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 LIB.MIDDLE.SaftyCenter.StatusSta.V1_0_0 import status_sta

from LIB.MIDDLE.CellStateEstimation.Common import DBDownload
from urllib import parse
import pymysql

import datacompy
from LIB.BACKEND import DBManager

if __name__ == "__main__":
    
    
    # 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_status_sta', 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()))
    try:
        # 时间设置

        now_time = datetime.datetime.now()
        pre_time = now_time + dateutil.relativedelta.relativedelta(hours=-1)#上小时时间
        end_time=datetime.datetime.strftime(now_time,"%Y-%m-%d %H:00:00")
        start_time=datetime.datetime.strftime(pre_time,"%Y-%m-%d %H: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)

        

        
        
        # 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')
        db_res_engine = create_engine(
            "mysql+pymysql://{}:{}@{}:{}/{}?charset=utf8".format(
                user, password, host, port, db
            ))
    except Exception as e:
        logger.error("任务初始出错" + str(e), exc_info=True)
    
    dbManager = DBManager.DBManager()
    charge_count = 0
    drive_count = 0
    stand_count = 0
    for sn in df_sn['sn'].tolist():
        try:
            logger.info("pid-{}  SN: {} START!".format(os.getpid(), sn))
            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']
            charge_count, drive_count, stand_count = status_sta.status_sta(df_bms, df_gps, start_time, charge_count, drive_count, stand_count)
            df_result = pd.DataFrame({'factory':['骑享'], 'time':[start_time], 'charge_count':[charge_count], 'drive_count':[drive_count], 'stand_count':stand_count})

            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)
    try:
        if not df_result.empty:
            df_result.columns = ['factory', 'time', 'charge_count', 'drive_count', 'stand_count']
            df_result.to_sql("period_status_statistic",con=db_res_engine, if_exists="append",index=False)
            logger.info("数据库写入成功!")
    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_res_engine.dispose()
    db_engine.dispose()