#coding=utf-8 import os import datetime import pandas as pd from LIB.BACKEND import DBManager, Log from LIB.MIDDLE import SignalMonitor from sqlalchemy import create_engine from sqlalchemy.orm import sessionmaker import time, datetime import traceback from LIB.MIDDLE.DrivingRange import UpdtFct from urllib import parse import pymysql import dateutil.relativedelta from create_table2 import DrivingRangeResult dbManager = DBManager.DBManager() if __name__ == "__main__": # 时间设置 now_time = datetime.datetime.now() pre_time = now_time + dateutil.relativedelta.relativedelta(minutes=-30) end_time=datetime.datetime.strftime(now_time,"%Y-%m-%d %H:%M:%S") start_time=datetime.datetime.strftime(pre_time,"%Y-%m-%d %H:%M:%S") print(pre_time) # # 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 from app_device") # res = cursor.fetchall() # df_sn = pd.DataFrame(res, columns=['sn', 'imei']) # 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) db_qx = pymysql.connect( host='rm-bp10j10qy42bzy0q77o.mysql.rds.aliyuncs.com', user='qx_read', password='Qx@123456',#Qx@123456 database='qx_cas', charset='utf8' ) # 日志配置 now_str = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()).replace(":","_") log_path = 'log/driving_range/{}/'.format(now_str[0:10]) + now_str if not os.path.exists(log_path): os.makedirs(log_path) log = Log.Mylog(log_name='driving_range', 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: #调度周期:每天运行一次。 #更新所有sn,连读多日的factor,如果start_date和end_date相隔一天,代表更新start_date的factor。 logger.info(u"{},{} 任务运行开始\n".format(start_time,end_time), exc_info=True) df_res = UpdtFct.updtVehElecRng(db_qx, db_qx, sn_newest_table_name='driving_range_sn_factor_newest', input_time=start_time) df_res = df_res.reset_index(drop=True) if not df_res.empty: df_res.columns = ['sn', 'time', 'soc', 'a0', 'a1', 'a2', 'a3', 'a4', 'vehelecrng'] df_res.to_sql("driving_range_result",con=db_engine, if_exists="append",index=False) # session = DbSession() # for i in range(0, len(df_res)-1): # obj = session.query(DrivingRangeResult).filter_by(sn=df_res.loc[i,'sn']).first() # if not obj: # obj = DrivingRangeResult(df_res.loc[i,'sn'],df_res.loc[i,'time'],df_res.loc[i,'soc'],df_res.loc[i,'a0'],df_res.loc[i,'a1'],df_res.loc[i,'a2'],df_res.loc[i,'a3'],df_res.loc[i,'a4'], # df_res.loc[i,'vehelecrng']) # else: # obj.time = df_res.loc[i,'time'] # obj.soc = df_res.loc[i,'soc'] # obj.a0 = df_res.loc[i,'a0'] # obj.a1 = df_res.loc[i,'a1'] # obj.a2 = df_res.loc[i,'a2'] # obj.a3 = df_res.loc[i,'a3'] # obj.a4 = df_res.loc[i,'a4'] # obj.vehelecrng = df_res.loc[i,'vehelecrng'] # session.add(obj) # session.commit() # session.close() logger.info(u"{},{} 续驶里程计算完成\n".format(start_time,end_time), exc_info=True) except: logger.error(traceback.format_exc) logger.error(u"{},{} 任务运行错误\n".format(start_time,end_time), exc_info=True) db_engine.dispose() db_qx.close()