data_analyze_platform/LIB/FRONTEND/odo/main_1.py

#coding=utf-8
# 计算里程
from math import radians, cos, sin, asin, sqrt
import pandas as pd
import numpy as np
from datetime import datetime
from datetime import timedelta

from GpsRank import *
from ProcessDfBms import *
from ProcessDfGps import *
from LIB.MIDDLE.odo.CalDist import *
from LIB.BACKEND import DBManager
import pdb

asset_table_path='asset_table.xlsx'
# drive_info_path='D:\\work\\Qixiang\\data_analyze_platform\\pengmin\\AllCarDist\\drive_info.xlsx'
asset_sheet_num=1
usecols_list=[4,5]

asset_table=pd.read_excel(asset_table_path,sheet_name=asset_sheet_num,skiprows=1,usecols=usecols_list)
SN_list=asset_table['SN号'].values.tolist()
print('从6060sheet读取到：'+str(len(SN_list))+'行')
asset_table=asset_table.rename(columns={'SN号':'SN','状态':'state'})

asset_table.set_index(["SN"],inplace=True)
col_name=asset_table.columns.tolist()
col_name.extend(['range','accum_soc','day_start_soc','day_end_soc','day_start_time','day_end_time'])
asset_table=asset_table.reindex(columns=col_name)

start_hour='00:00:00'#每日查询最早时间
end_hour='23:59:00'#每日查询最晚时间


date_index=pd.date_range('2021-07-31','2021-07-31')
for date in date_index:
    '''遍历日期'''

    str_date=str(date)[:10]
    input_starttime=str_date+' '+start_hour
    input_endtime=str_date+' '+end_hour
    test_day=str_date[5:10]#月-日，用于建立sheet
    drive_info_path='6060\\drive_info'+test_day+'_50_end_'+'.xlsx'

    print(input_starttime)

    drive_info_aday=pd.DataFrame()
    SN_list_short=SN_list#先选择了0:50,50:end

    for SN in SN_list_short:
        '''遍历SN号'''
        SN=SN.strip('\t')
        SN=SN.strip('\n')

        try:
            range=GetDistInfo(SN,input_starttime,input_endtime)
            range_df=pd.DataFrame([range])
            drive_info_aday=pd.concat([drive_info_aday,range_df],axis=0)

        except:
            print(SN+' '+test_day+'fail')
        else:
            pass
            #print(SN+' '+test_day+'success')

    drive_info_aday.to_excel(drive_info_path,sheet_name=test_day)#sheet名称为testday