#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 from sqlalchemy.dialects.mysql import insert import time, datetime import traceback from LIB.MIDDLE.DrivingRange import UpdtFct from urllib import parse import pymysql import dateutil.relativedelta from create_table1 import DrivingRangeSnFactorNewest dbManager = DBManager.DBManager() if __name__ == "__main__": # 时间设置 now_time = datetime.datetime.now() pre_time = now_time + dateutil.relativedelta.relativedelta(days=-50) end_time=datetime.datetime.strftime(now_time,"%Y-%m-%d 23:59:00") start_time=datetime.datetime.strftime(pre_time,"%Y-%m-%d 23:59:00") # # 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/sn_factor/' + 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())) # SNdata_6060 = pd.read_excel('骑享资产梳理-20210621.xlsx', sheet_name='6060') # SNnums_6060=SNdata_6060['SN号'] # # SNnums_6060 = ['PK504B00100004019','PK504B00100004029', 'PK504B00100004080', 'PK504B00100004264', 'PK504B10100004331'] # now_time=datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S') # now_time = "2021-08-01 00:00:00" # 定时任务开启时,需要删除改行!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! # now_time=datetime.datetime.strptime(now_time,'%Y-%m-%d %H:%M:%S') # start_time=now_time-datetime.timedelta(days=1000) # end_time=str(now_time) # start_time=str(start_time) 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) # UpdtFct.updtAllSnFct(start_time[0:10],end_time[0:10], db_engine, db_qx, db_qx, sn_table_name='driving_range_sn_factor') logger.info(u"{},{} sn 参数更新完成\n".format(start_time,end_time), exc_info=True) logger.info(u"{},{} sn 最新参数更新开始\n".format(start_time,end_time), exc_info=True) df_res = UpdtFct.updtNewestFctTb(now_time, db_qx, sn_table_name='driving_range_sn_factor') df_res = df_res.reset_index(drop=True) session = DbSession() for i in range(0, len(df_res)-1): obj = session.query(DrivingRangeSnFactorNewest).filter_by(sn=df_res.loc[i,'sn']).first() if not obj: obj = DrivingRangeSnFactorNewest(df_res.loc[i,'sn'],df_res.loc[i,'date'],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']) else: obj.date = df_res.loc[i,'date'] 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'] session.add(obj) session.commit() session.close() logger.info(u"{},{} sn 最新参数更新完成\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)