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两个接口都发了，网上流传的translate和translate_o的都可以调用，对ip有次数限制，多次会被封，建议使用ip连接池
第一个调用translate接口，使用了ip连接池proxy_pool-master（github上有），需要Linux装SSDB，速度好慢 ；当然也可以不用，去掉proxies参数即可，只不过会出现验证码，但是速度极佳。
第二个调用translate_o接口，两个接口似乎是独立的，验证码不相关。
业务代码主要是读取文件夹下的所有txt文件根据正则翻译指定内容，再输出到另一个文件夹下（只是为了汉化游戏而已，学Java的第一次写python，写的不好 ，请大家多多指点），
大部分代码都是网上整理的，salt部分根据网站js进行了更新，应该最近还可用。
[Python] 纯文本查看 复制代码 # -*- coding: UTF-8 -*-import hashlib
import random
import requests
import time
import re
import os
##################################
def get_proxy():
return requests.get("http://127.0.0.1:5010/get/").json()
def delete_proxy(proxy):
requests.get("http://127.0.0.1:5010/delete/?proxy={}".format(proxy))
# your spider code
def getHtml(s, url, headers, data):
# ....
while True:
retry_count = 2
proxy = get_proxy().get("proxy")
while retry_count > 0:
try:
# resp = s.post(self.url, headers=self.headers, data=data)
html = s.post(url, headers=headers,data=data , proxies={"http": "http://{}".format(proxy)}, timeout=1)
# 使用代{过}{滤}理访问
return html.json()
except Exception:
retry_count -= 1
print('代{过}{滤}理不通, 剩余机会:'+ str(retry_count))
# 出错5次, 删除代{过}{滤}理池中代{过}{滤}理
delete_proxy(proxy)
print('删除代{过}{滤}理'+proxy)
return None
##################################
s = requests.Session()
m = hashlib.md5()
class Dict:
def __init__(self):
self.headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/75.0.3770.142 Safari/537.36',
'Referer': 'http://fanyi.youdao.com/',
'contentType': 'application/x-www-form-urlencoded; charset=UTF-8',
'Cookie': 'OUTFOX_SEARCH_USER_ID=-352392290@116.136.20.84; P_INFO=a121bc; OUTFOX_SEARCH_USER_ID_NCOO=710017829.1902944; JSESSIONID=aaaDa3sqezCDY-snjj91w; SESSION_FROM_COOKIE=unknown; ___rl__test__cookies='+str(int(time.time() * 1000))
}
self.url = 'http://fanyi.youdao.com/translate?smartresult=dict&smartresult=rule&sessionFrom='
self.base_config()
def base_config(self):
"""
设置基本的参数，cookie
"""
s.get('http://fanyi.youdao.com/')
def translate(self,e):
# i = "With what? I'll be out with my Mom at an expo for the next few days, but..."
i = e
self.headers['Content-Length']=str(233+len(e))
ts = str(int(time.time() * 1000))
salf = ts + str(random.randint(0, 9))
n = 'fanyideskweb' + i + salf + "n%A-rKaT5fb[Gy?;N5@Tj"
m.update(n.encode('utf-8'))
sign = m.hexdigest()
data = {
'i': i,
'from': 'AUTO',
'to': 'AUTO',
'smartresult': 'dict',
'client': 'fanyideskweb',
'salt': salf,
'sign': sign,
'ts': ts,
'bv': '53539dde41bde18f4a71bb075fcf2e66',
'doctype': 'json',
'version': "2.1",
'keyfrom': "fanyi.web",
'action': "FY_BY_REALTlME"
}
##########################################
# resp = s.post(self.url, headers=self.headers, data=data)
# rt = resp.json()
rt = getHtml(s, self.url, self.headers, data)
####################
arr = []
for c in rt['translateResult'][0]:
arr.append(c['tgt'])
return ''.join(arr)
# dic = Dict()
# resp = dic.translate('hello girl')
# print(resp)
# 遍历文件夹
def copy(file, file2):
for root, dirs, files in os.walk(file):
# 遍历文件
for f in files:
# time.sleep(random.random())
print(f)
file_path = os.path.join(root, f)
fi = open(file_path,'r',encoding='utf-8')
fi2 = open(os.path.join(file2, f),'w',encoding='utf-8')
while True:
line = fi.readline()
if line.startswith("C_"):
dic = Dict()
line = re.sub(r'([\w\s]+)\|([^|]+)([.\s]+)',lambda m: m.group(1)+'|'+dic.translate(m.group(2))+m.group(3),line)
print('翻译成功：'+ line)
fi2.write(line)
if not line:
fi.close()
fi2.close()
break
copy("C:\\Users\\Administrator\\Desktop\\python-test\\dialogues","C:\\Users\\Administrator\\Desktop\\python-test\\def")
第二个
[Python] 纯文本查看 复制代码 import json
import random
import time
import hashlib
import requests
import re
import os
from urllib import parse
from urllib import request
def trans(content):
# 等待用户输入需要翻译的单词
i = content
# 有道翻译的url链接
url = 'http://fanyi.youdao.com/translate_o?smartresult=dict&smartresult=rule'
# 构造有道的加密参数
client = "fanyideskweb"
ts = int(time.time() * 1000)
salt = str(ts + random.randint(1, 10))
flowerStr = "n%A-rKaT5fb[Gy?;N5@Tj"
sign = hashlib.md5((client + i + salt + flowerStr).encode('utf-8')).hexdigest()
bv = '53539dde41bde18f4a71bb075fcf2e66'
# 创建Form_Data字典，存储请求体
Form_Data = {}
# 需要翻译的文字
Form_Data['i'] = i
# 下面这些都先按照我们之前抓包获取到的数据
Form_Data['from'] = 'AUTO'
Form_Data['to'] = 'AUTO'
Form_Data['smartresult'] = 'dict'
Form_Data['client'] = client
Form_Data['salt'] = salt
Form_Data['sign'] = sign
Form_Data['ts'] = ts
Form_Data['bv'] = bv
Form_Data['doctype'] = 'json'
Form_Data['version'] = '2.1'
Form_Data['keyfrom'] = 'fanyi.web'
Form_Data['action'] = 'FY_BY_REALTIME'
Form_Data['typoResult'] = 'false'
# 对数据进行字节流编码处理
data = parse.urlencode(Form_Data).encode('utf-8')
# 创建Request对象
req = request.Request(url=url, data=data, method='POST')
# 写入header信息
req.add_header('User-Agent', 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/75.0.3770.142 Safari/537.36')
req.add_header('cookie', 'OUTFOX_SEARCH_USER_ID=-352392290@116.136.20.84')
req.add_header('Referer', 'http://fanyi.youdao.com/')
# 传入创建好的Request对象
response = request.urlopen(req, timeout=5)
# 读取信息并进行字节流解码
html = response.read().decode('utf-8')
print(html)
# 把返回来的json字符串解析成字典
translate_results = json.loads(html)
# 打印翻译结果
translate_result = translate_results["translateResult"][0][0]['tgt']
print("翻译的结果是：%s" % translate_result)
return translate_result
trans('Hey, Mrs. Juliana! Yeah, like a baby. What are you up to?')
def copy(file, file2):
for root, dirs, files in os.walk(file):
# 遍历文件
for f in files:
time.sleep(random.random())
file_path = os.path.join(root, f)
fi = open(file_path,'r',encoding='utf-8')
fi2 = open(os.path.join(file2, f),'w',encoding='utf-8')
while True:
line = fi.readline()
if line.startswith("C_"):
line = re.sub(r'([\w\s]+)\|([^|]+)([.\s]+)',lambda m: m.group(1)+'|'+trans(m.group(2))+m.group(3),line)
fi2.write(line)
if not line:
fi.close()
fi2.close()
print(f)
break
# copy("C:\\Users\\Administrator\\Desktop\\python-test\\dialogues","C:\\Users\\Administrator\\Desktop\\python-test\\def") |
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发表于 2019-10-2 10:21
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发表于 2019-10-3 09:29
