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Copy pathBaiduTransV3.py
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BaiduTransV3.py
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import urllib
import requests
import json
import re
import random
import sys
import time
import os
HEADERS = {
"connection": "keep-alive",
"Accept": "text/html, application/xhtml+xml, */*",
"Accept-Language": "zh-CN,zh;q=0.8,en-US;q=0.6,en;q=0.4",
"User-Agent": "Mozilla/5.0 (Windows NT 6.3; WOW64; Trident/7.0; rv:11.0) like Gecko"
}
class BaiduTransEngine(object):
def __init__(self):
self.headers = HEADERS
self.retry_times = 0
def baidu_trans(self, termStr, src='en', dst='zh'):
"""
baidu_trans(termStr, src='en', dst='zh')
Translate termStr (a str) by using baidu fanyi translate engine, and return a python dictionary object.
src, source language of termStr. By default this is equivalent to 'en'. If source language has been changed to another language, we shoud use this parameter ostensively.
dst, destination language of termStr. By default this is equivalent to 'zh'. If destination language has been changed to another language, we shoud use this parameter ostensively.
"""
url = self.__url_generator(termStr, src=src, dst=dst)
while True:
try:
engine_response = self.__translate(url)
trans_result = self.__response_parser(engine_response, termStr, src)
# print(termStr + " Succeed")
self.retry_times = 0
return trans_result
break
except Exception as e:
sleep_time = random.randint(5, 15)
print(e.__str__() + "Translate failed, re-try")
self.retry_times += 1
print(self.retry_times)
if self.retry_times >= 20:
time.sleep(120)
else:
time.sleep(sleep_time)
continue
def __url_generator(self, termStr, src, dst):
quoteStr = urllib.parse.quote(termStr)
url = "http://fanyi.baidu.com/v2transapi?from={sr}&to={tg}&query={qt}&transtype=translang&simple_means_flag=3".format(sr=src, tg=dst, qt=quoteStr)
return url
def __translate(self, url):
r = requests.get(url, headers=self.headers, timeout=60)
response = json.loads(r.text)
return response
def __response_parser(self, res, termStr, src):
total_res = {"term": termStr}
# Get API result from translation engine response
total_res["trans"] = self.__trans_parser(res)
# Get sentences result from translation engine response
# If we get sentences result
if res["liju_result"]:
if res["liju_result"]["double"]:
total_res["sents"] = self.__sents_parser(res, termStr, src)
# total_res["sents"] = sorted(total_res["sents"], key=lambda x: len(x.split("，")))
else:
total_res["sents"] = ["null"]
# If we do not get sentences result
else:
total_res["sents"] = ["null"]
if res["dict_result"]:
total_res["dicts"] = self.__dicts_parser(res)
else:
total_res["dicts"] = ["null"]
return total_res
def __trans_parser(self, res):
trans_res = res["trans_result"]["data"][0]["dst"]
return trans_res
def __sents_parser(self, res, termStr, src):
reflect_dict = {}
en_ele = {}
cn_ele = {}
term = termStr
# get reflection between word and postion
for sent in json.loads(res["liju_result"]["double"], encoding="utf-8"):
hl_en = []
hl_cn = []
for en in sent[0]:
en_ele[en[1]] = en[0]
if en[3] == 1:
hl_en.append(en[2])
else:
pass
for cn in sent[1]:
cn_ele[cn[1]] = cn[0]
if cn[3] == 1:
hl_cn.append(cn[2])
else:
pass
# get reflcetion result
tmp_en = []
tmp_cn = []
for cn_en in sorted(list(set(hl_en)), key=lambda x: int(x.split(",")[0][2:])):
positons = cn_en.split(",")
for i in positons:
if i in en_ele.keys():
tmp_en.append(int(i[2:]))
else:
tmp_cn.append(int(i[2:]))
# If there is some commas in term, it is no necessary to determine whether reflected words are continuously
if ", " in term or "，" in term:
tmp_en = ["w_" + str(i) for i in tmp_en]
tmp_cn = ["w_" + str(i) for i in tmp_cn]
if src == 'zh':
reflect_en = "".join(tmp_en)
if len(re.split(",|，", term)) > 2:
reflect_cn = cn_ele[tmp_cn[0]] + ", " + ", ".join([cn_ele[i] for i in tmp_cn[1:]])
else:
reflect_cn = cn_ele[tmp_cn[0]] + ", " + " ".join([cn_ele[i] for i in tmp_cn[1:]])
else:
reflect_en = " ".join(tmp_en)
if len(re.split(",|，", term)) > 2:
reflect_cn = cn_ele[tmp_cn[0]] + "，" + "，".join([cn_ele[i] for i in tmp_cn[1:]])
else:
reflect_cn = cn_ele[tmp_cn[0]] + "，" + "".join([cn_ele[i] for i in tmp_cn[1:]])
if reflect_cn in reflect_dict.keys():
reflect_dict[reflect_cn] += 1
else:
reflect_dict[reflect_cn] = 1
else:
tmp_cn.sort()
tmp_en.sort()
# To determine whether reflected word are continuously
if tmp_en[-1] - tmp_en[0] == len(tmp_en) - 1:
tmp_en = ["w_" + str(i) for i in tmp_en]
tmp_cn = ["w_" + str(i) for i in tmp_cn]
if src == 'zh':
reflect_en = "".join([en_ele[i] for i in tmp_en])
reflect_cn = " ".join([cn_ele[i] for i in tmp_cn])
else:
reflect_en = " ".join([en_ele[i] for i in tmp_en])
reflect_cn = "".join([cn_ele[i] for i in tmp_cn])
if reflect_cn in reflect_dict.keys():
reflect_dict[reflect_cn] += 1
else:
reflect_dict[reflect_cn] = 1
else:
continue
if reflect_dict:
return [i[0]for i in sorted(reflect_dict.items(), key=lambda d: d[1], reverse=True)[:2]]
else:
return ["null"]
def __dicts_parser(self, res):
dict_res = []
try:
if "netdata" in res["dict_result"]:
if "word_means" in res["dict_result"]["simple_means"]:
dict_means = list(res["dict_result"]["simple_means"]["word_means"])
elif "means" in res["dict_result"]["simple_means"]["symbols"][0]["parts"][0]:
dict_means = list(res["dict_result"]["simple_means"]["symbols"][0]["parts"][0]["means"])
else:
dict_means = [res["dict_result"]["netdata"]["types"][0]["trans"]]
else:
if "word_means" in res["dict_result"]["simple_means"]:
dict_means = list(res["dict_result"]["simple_means"]["word_means"])
elif "has_mean" in res["dict_result"]["simple_means"]["symbols"][0]["parts"][0]["means"][0]:
dict_means = [i["word_mean"] for i in res["dict_result"]["simple_means"]["symbols"][0]["parts"][0]["means"]]
elif "means" in res["dict_result"]["simple_means"]["symbols"][0]["parts"][0]:
dict_means = list(res["dict_result"]["simple_means"]["symbols"][0]["parts"][0]["means"])
except KeyError as e:
dict_means = ["null"]
dict_res = dict_means
return dict_res
bt = BaiduTransEngine()
baidu_trans = bt.baidu_trans
def main():
print(baidu_trans("肺癌", src='zh', dst='en'))
if __name__ == '__main__':
main()