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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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