227 lines
8.7 KiB
Python
227 lines
8.7 KiB
Python
# -*- coding: utf-8 -*-
|
|
"""
|
|
A Translation module.
|
|
|
|
You can translate text using this module.
|
|
"""
|
|
import requests
|
|
import random
|
|
|
|
from googletrans import urls, utils
|
|
from googletrans.compat import PY3
|
|
from googletrans.gtoken import TokenAcquirer
|
|
from googletrans.constants import DEFAULT_USER_AGENT, LANGCODES, LANGUAGES, SPECIAL_CASES
|
|
from googletrans.models import Translated, Detected
|
|
|
|
|
|
EXCLUDES = ('en', 'ca', 'fr')
|
|
|
|
|
|
class Translator(object):
|
|
"""Google Translate ajax API implementation class
|
|
|
|
You have to create an instance of Translator to use this API
|
|
|
|
:param service_urls: google translate url list. URLs will be used randomly.
|
|
For example ``['translate.google.com', 'translate.google.co.kr']``
|
|
:type service_urls: a sequence of strings
|
|
|
|
:param user_agent: the User-Agent header to send when making requests.
|
|
:type user_agent: :class:`str`
|
|
|
|
:param proxies: proxies configuration.
|
|
Dictionary mapping protocol or protocol and host to the URL of the proxy
|
|
For example ``{'http': 'foo.bar:3128', 'http://host.name': 'foo.bar:4012'}``
|
|
"""
|
|
|
|
def __init__(self, service_urls=None, user_agent=DEFAULT_USER_AGENT, proxies=None):
|
|
self.session = requests.Session()
|
|
if proxies is not None:
|
|
self.session.proxies = proxies
|
|
self.session.headers.update({
|
|
'User-Agent': user_agent,
|
|
})
|
|
self.service_urls = service_urls or ['translate.google.com']
|
|
self.token_acquirer = TokenAcquirer(session=self.session, host=self.service_urls[0])
|
|
|
|
# Use HTTP2 Adapter if hyper is installed
|
|
try: # pragma: nocover
|
|
from hyper.contrib import HTTP20Adapter
|
|
self.session.mount(urls.BASE, HTTP20Adapter())
|
|
except ImportError: # pragma: nocover
|
|
pass
|
|
|
|
def _pick_service_url(self):
|
|
if len(self.service_urls) == 1:
|
|
return self.service_urls[0]
|
|
return random.choice(self.service_urls)
|
|
|
|
def _translate(self, text, dest, src):
|
|
if not PY3 and isinstance(text, str): # pragma: nocover
|
|
text = text.decode('utf-8')
|
|
|
|
token = self.token_acquirer.do(text)
|
|
params = utils.build_params(query=text, src=src, dest=dest,
|
|
token=token)
|
|
url = urls.TRANSLATE.format(host=self._pick_service_url())
|
|
r = self.session.get(url, params=params)
|
|
|
|
data = utils.format_json(r.text)
|
|
return data
|
|
|
|
def translate(self, text, dest='en', src='auto'):
|
|
"""Translate text from source language to destination language
|
|
|
|
:param text: The source text(s) to be translated. Batch translation is supported via sequence input.
|
|
:type text: UTF-8 :class:`str`; :class:`unicode`; string sequence (list, tuple, iterator, generator)
|
|
|
|
:param dest: The language to translate the source text into.
|
|
The value should be one of the language codes listed in :const:`googletrans.LANGUAGES`
|
|
or one of the language names listed in :const:`googletrans.LANGCODES`.
|
|
:param dest: :class:`str`; :class:`unicode`
|
|
|
|
:param src: The language of the source text.
|
|
The value should be one of the language codes listed in :const:`googletrans.LANGUAGES`
|
|
or one of the language names listed in :const:`googletrans.LANGCODES`.
|
|
If a language is not specified,
|
|
the system will attempt to identify the source language automatically.
|
|
:param src: :class:`str`; :class:`unicode`
|
|
|
|
:rtype: Translated
|
|
:rtype: :class:`list` (when a list is passed)
|
|
|
|
Basic usage:
|
|
>>> from googletrans import Translator
|
|
>>> translator = Translator()
|
|
>>> translator.translate('안녕하세요.')
|
|
<Translated src=ko dest=en text=Good evening. pronunciation=Good evening.>
|
|
>>> translator.translate('안녕하세요.', dest='ja')
|
|
<Translated src=ko dest=ja text=こんにちは。 pronunciation=Kon'nichiwa.>
|
|
>>> translator.translate('veritas lux mea', src='la')
|
|
<Translated src=la dest=en text=The truth is my light pronunciation=The truth is my light>
|
|
|
|
Advanced usage:
|
|
>>> translations = translator.translate(['The quick brown fox', 'jumps over', 'the lazy dog'], dest='ko')
|
|
>>> for translation in translations:
|
|
... print(translation.origin, ' -> ', translation.text)
|
|
The quick brown fox -> 빠른 갈색 여우
|
|
jumps over -> 이상 점프
|
|
the lazy dog -> 게으른 개
|
|
"""
|
|
dest = dest.lower().split('_', 1)[0]
|
|
src = src.lower().split('_', 1)[0]
|
|
|
|
if src != 'auto' and src not in LANGUAGES:
|
|
if src in SPECIAL_CASES:
|
|
src = SPECIAL_CASES[src]
|
|
elif src in LANGCODES:
|
|
src = LANGCODES[src]
|
|
else:
|
|
raise ValueError('invalid source language')
|
|
|
|
if dest not in LANGUAGES:
|
|
if dest in SPECIAL_CASES:
|
|
dest = SPECIAL_CASES[dest]
|
|
elif dest in LANGCODES:
|
|
dest = LANGCODES[dest]
|
|
else:
|
|
raise ValueError('invalid destination language')
|
|
|
|
if isinstance(text, list):
|
|
result = []
|
|
for item in text:
|
|
translated = self.translate(item, dest=dest, src=src)
|
|
result.append(translated)
|
|
return result
|
|
|
|
origin = text
|
|
data = self._translate(text, dest, src)
|
|
|
|
# this code will be updated when the format is changed.
|
|
translated = ''.join([d[0] if d[0] else '' for d in data[0]])
|
|
|
|
# actual source language that will be recognized by Google Translator when the
|
|
# src passed is equal to auto.
|
|
try:
|
|
src = data[2]
|
|
except Exception: # pragma: nocover
|
|
pass
|
|
|
|
pron = origin
|
|
try:
|
|
pron = data[0][1][-2]
|
|
except Exception: # pragma: nocover
|
|
pass
|
|
if not PY3 and isinstance(pron, unicode) and isinstance(origin, str): # pragma: nocover
|
|
origin = origin.decode('utf-8')
|
|
if dest in EXCLUDES and pron == origin:
|
|
pron = translated
|
|
|
|
# for python 2.x compatbillity
|
|
if not PY3: # pragma: nocover
|
|
if isinstance(src, str):
|
|
src = src.decode('utf-8')
|
|
if isinstance(dest, str):
|
|
dest = dest.decode('utf-8')
|
|
if isinstance(translated, str):
|
|
translated = translated.decode('utf-8')
|
|
|
|
# put final values into a new Translated object
|
|
result = Translated(src=src, dest=dest, origin=origin,
|
|
text=translated, pronunciation=pron)
|
|
|
|
return result
|
|
|
|
def detect(self, text):
|
|
"""Detect language of the input text
|
|
|
|
:param text: The source text(s) whose language you want to identify.
|
|
Batch detection is supported via sequence input.
|
|
:type text: UTF-8 :class:`str`; :class:`unicode`; string sequence (list, tuple, iterator, generator)
|
|
|
|
:rtype: Detected
|
|
:rtype: :class:`list` (when a list is passed)
|
|
|
|
Basic usage:
|
|
>>> from googletrans import Translator
|
|
>>> translator = Translator()
|
|
>>> translator.detect('이 문장은 한글로 쓰여졌습니다.')
|
|
<Detected lang=ko confidence=0.27041003>
|
|
>>> translator.detect('この文章は日本語で書かれました。')
|
|
<Detected lang=ja confidence=0.64889508>
|
|
>>> translator.detect('This sentence is written in English.')
|
|
<Detected lang=en confidence=0.22348526>
|
|
>>> translator.detect('Tiu frazo estas skribita en Esperanto.')
|
|
<Detected lang=eo confidence=0.10538048>
|
|
|
|
Advanced usage:
|
|
>>> langs = translator.detect(['한국어', '日本語', 'English', 'le français'])
|
|
>>> for lang in langs:
|
|
... print(lang.lang, lang.confidence)
|
|
ko 1
|
|
ja 0.92929292
|
|
en 0.96954316
|
|
fr 0.043500196
|
|
"""
|
|
if isinstance(text, list):
|
|
result = []
|
|
for item in text:
|
|
lang = self.detect(item)
|
|
result.append(lang)
|
|
return result
|
|
|
|
data = self._translate(text, dest='en', src='auto')
|
|
|
|
# actual source language that will be recognized by Google Translator when the
|
|
# src passed is equal to auto.
|
|
src = ''
|
|
confidence = 0.0
|
|
try:
|
|
src = ''.join(data[8][0])
|
|
confidence = data[8][-2][0]
|
|
except Exception: # pragma: nocover
|
|
pass
|
|
result = Detected(lang=src, confidence=confidence)
|
|
|
|
return result
|