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155 lines
5.6 KiB
155 lines
5.6 KiB
3 years ago
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"""
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google translator API
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"""
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import json
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from .constants import BASE_URLS, PAPAGO_LANGUAGE_TO_CODE
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from .exceptions import LanguageNotSupportedException, TranslationNotFound, NotValidPayload
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import requests
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import warnings
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import logging
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class PapagoTranslator(object):
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"""
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class that wraps functions, which use google translate under the hood to translate text(s)
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"""
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_languages = PAPAGO_LANGUAGE_TO_CODE
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supported_languages = list(_languages.keys())
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def __init__(self, client_id=None, secret_key=None, source="auto", target="en", **kwargs):
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"""
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@param source: source language to translate from
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@param target: target language to translate to
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"""
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if not client_id or not secret_key:
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raise Exception("Please pass your client id and secret key! visit the papago website for more infos")
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self.__base_url = BASE_URLS.get("PAPAGO_API")
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self.client_id = client_id
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self.secret_key = secret_key
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if self.is_language_supported(source, target):
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self._source, self._target = self._map_language_to_code(source.lower(), target.lower())
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@staticmethod
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def get_supported_languages(as_dict=False, **kwargs):
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"""
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return the supported languages by the google translator
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@param as_dict: if True, the languages will be returned as a dictionary mapping languages to their abbreviations
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@return: list or dict
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"""
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return PapagoTranslator.supported_languages if not as_dict else PapagoTranslator._languages
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def _map_language_to_code(self, *languages):
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"""
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map language to its corresponding code (abbreviation) if the language was passed by its full name by the user
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@param languages: list of languages
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@return: mapped value of the language or raise an exception if the language is not supported
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"""
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for language in languages:
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if language in self._languages.values() or language == 'auto':
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yield language
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elif language in self._languages.keys():
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yield self._languages[language]
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else:
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raise LanguageNotSupportedException(language)
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def is_language_supported(self, *languages):
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"""
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check if the language is supported by the translator
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@param languages: list of languages
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@return: bool or raise an Exception
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"""
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for lang in languages:
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if lang != 'auto' and lang not in self._languages.keys():
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if lang != 'auto' and lang not in self._languages.values():
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raise LanguageNotSupportedException(lang)
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return True
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def translate(self, text, **kwargs):
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"""
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function that uses google translate to translate a text
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@param text: desired text to translate
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@return: str: translated text
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"""
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payload = {
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"source": self._source,
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"target": self._target,
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"text": text
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}
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headers = {
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'X-Naver-Client-Id': self.client_id,
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'X-Naver-Client-Secret': self.secret_key,
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'Content-Type': 'application/x-www-form-urlencoded; charset=UTF-8'
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}
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response = requests.post(self.__base_url, headers=headers, data=payload)
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if response.status_code != 200:
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raise Exception(f'Translation error! -> status code: {response.status_code}')
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res_body = json.loads(response.text)
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if "message" not in res_body:
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raise TranslationNotFound(text)
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msg = res_body.get("message")
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result = msg.get("result", None)
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if not result:
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raise TranslationNotFound(text)
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translated_text = result.get("translatedText")
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return translated_text
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def translate_file(self, path, **kwargs):
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"""
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translate directly from file
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@param path: path to the target file
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@type path: str
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@param kwargs: additional args
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@return: str
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"""
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try:
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with open(path) as f:
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text = f.read().strip()
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return self.translate(text)
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except Exception as e:
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raise e
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def translate_sentences(self, sentences=None, **kwargs):
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"""
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translate many sentences together. This makes sense if you have sentences with different languages
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and you want to translate all to unified language. This is handy because it detects
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automatically the language of each sentence and then translate it.
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@param sentences: list of sentences to translate
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@return: list of all translated sentences
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"""
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warnings.warn("deprecated. Use the translate_batch function instead", DeprecationWarning, stacklevel=2)
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logging.warning("deprecated. Use the translate_batch function instead")
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if not sentences:
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raise NotValidPayload(sentences)
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translated_sentences = []
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try:
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for sentence in sentences:
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translated = self.translate(text=sentence)
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translated_sentences.append(translated)
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return translated_sentences
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except Exception as e:
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raise e
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def translate_batch(self, batch=None, **kwargs):
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"""
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translate a list of texts
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@param batch: list of texts you want to translate
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@return: list of translations
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"""
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if not batch:
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raise Exception("Enter your text list that you want to translate")
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arr = []
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for i, text in enumerate(batch):
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translated = self.translate(text, **kwargs)
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arr.append(translated)
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return arr
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