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python automatic translation implementation

高洛峰
高洛峰Original
2017-03-02 16:02:592050browse

The example in this article describes the implementation method of python automatic translation. I share it with you for your reference, the details are as follows:

I have learned the basics of python before, but generally have not used it. Later, there was a parameter table that required Chinese and English. After thinking about it, I decided to use python. The Baidu translation interface called has experienced problems such as garbled characters and incomplete modules. Generally google, do it at the same time. share.

#encoding=utf-8
## eagle_91@sina.com
## created 2014-07-22
import urllib
import urllib2
import MySQLdb
import json
import gc
import time
url = 'http://openapi.baidu.com/public/2.0/bmt/translate'
_sleepTime = 0.5
_limit = 1000
## 链接mysql
conn = MySQLdb.connect(host='localhost',user='root',passwd='',charset='utf8')
curs = conn.cursor()
conn.select_db('test')
## 搜索要操作的表
count=curs.execute("""SELECT * FROM sb_parameters WHERE ISNULL(en_name) ORDER BY id ASC""")
## print curs.fetchall()
## print count
results = curs.fetchmany(_limit)
for r in results:
  gc.collect()
  chin = unicode(r[3]).encode('utf-8')
  ## print chin
  values = {'client_id':'PWrGllvVAIFcD0sYqaipwkAV','q':chin,'from':'zh','to':'en'}
  data = urllib.urlencode(values)
  req = urllib2.Request(url, data)
  response = urllib2.urlopen(req)
  the_page = response.read()
  returnData = json.loads(the_page)
  ## print returnData
  if returnData.has_key("error_code"):
    continue;
  inputData = returnData["trans_result"][0]["dst"]
  try:
    sql = "UPDATE `sb_parameters` SET `en_name`='%s' WHERE `id` = %d" % (MySQLdb.escape_string(unicode(inputData).encode('utf-8')),r[0])
    print sql
    curs.execute(sql)
    conn.commit()
    time.sleep(_sleepTime)
  except EOFError:
    sql = "UPDATE `sb_parameters` SET `en_name`='%s' WHERE `id` = %d" % ('',r[0])
    print sql
    curs.execute(sql)
    conn.commit()
    continue
conn.commit()
## 关闭链接
curs.close()
## 关闭数据库
conn.close()


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