python批量将excel内容进行翻译写入功能

file_path = ‘/home/xx/xx/xx'
# ret 返回一个列表
ret = list_dir = os.listdir(file_path)
# 遍历列表，获取需要的结尾文件（只考虑获取文件，不考虑执行效率）
for i in ret :
    if i.endswith('xlsx'):
    # 执行的逻辑

def baidu_translate(appi, secretKe, content):
  appid = appi
  secretKey = secretKe
  httpClient = None
  myurl = '/api/trans/vip/translate'
  q = content
  fromLang = 'zh' # 源语言
  toLang = 'en' # 翻译后的语言
  salt = random.randint(32768, 65536)
  sign = appid + q + str(salt) + secretKey
  sign = hashlib.md5(sign.encode()).hexdigest()
  myurl = myurl + '"utf-8") # 获得返回的结果，结果为json格式
    js = json.loads(jsonResponse) # 将json格式的结果转换字典结构
    dst = str(js["trans_result"][0]["dst"]) # 取得翻译后的文本结果
    print(dst) # 打印结果
    return dst
  except Exception as e:
    print(e)
  finally:
    if httpClient:
      httpClient.close()

import hashlib
import http.client
import json
import os
import random
import time
import urllib
import openpyxl
import xlrd
# 借用上边所述的文件路径操作
# appid ：翻译API提供，需要注册获取
# secretKey ：翻译API提供，需要注册获取
def read_excel(file_path, appid, secretKey):
  list_dir = os.listdir(file_path)
  for i in list_dir:
    if i.endswith('.xlsx'):
     # 拼接获取绝对路径
      file_path = file_path + '\\' + i
      rbook = xlrd.open_workbook(filename=file_path)
      rbook.sheets()
      # 获取excel某页数据
      sheet1 = rbook.sheet_by_index(0)
      row_num = sheet1.nrows
      for num in range(row_num):
        try:
         # 小编这样写的原因是我值获取指定列的数据,
         # 例如现在获取第3，4列数据
          txt1 = sheet1.cell_value(num, 3)
          txt2 = sheet1.cell_value(num, 4)
          # 为了2列数据可以同时进行翻译
          txt = txt1 + '=' + txt2
          # ret返回翻译结果
          ret = baidu_translate(appid, secretKey, txt)  
          
          # 防止调用接口出错
          time.sleep(1)
          # 将翻译结果在写如excel
          write_excel(ret, num, file_path)
        except Exception as e:
          print(e)
          continue

def write_excel(ret, num, file_path):
  f_txt = file_path
  book = openpyxl.load_workbook(f_txt)
  sheet1 = book.worksheets[0]
  # 在这个地方是获取某列写入
  txtE = 'F' + str(num + 1)
  txtF = 'G' + str(num + 1)
  s_txt = ret.split('=')
  sheet1[txtE] = s_txt[0]
  sheet1[txtF] = s_txt[1]
  book.save(f_txt)
  
if __name__ == '__main__':
  appid = 'xxxx'
  secretKey = 'xxxx'
  path = r'xxx'
  read_excel(path, appid, secretKey)