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