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import requests
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from .constants import BASE_URLS, DEEPL_LANGUAGE_TO_CODE
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from .exceptions import (ServerException,
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TranslationNotFound,
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LanguageNotSupportedException,
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AuthorizationException)
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class DeepL(object):
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"""
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class that wraps functions, which use the DeepL translator under the hood to translate word(s)
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"""
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_languages = DEEPL_LANGUAGE_TO_CODE
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def __init__(self, api_key=None, source="en", target="en", use_free_api=True, **kwargs):
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"""
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@param api_key: your DeepL api key.
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Get one here: https://www.deepl.com/docs-api/accessing-the-api/
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@param source: source language
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@param target: target language
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"""
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if not api_key:
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raise ServerException(401)
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self.version = 'v2'
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self.api_key = api_key
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self.source = self._map_language_to_code(source)
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self.target = self._map_language_to_code(target)
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if use_free_api:
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self.__base_url = BASE_URLS.get("DEEPL_FREE").format(version=self.version)
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else:
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self.__base_url = BASE_URLS.get("DEEPL").format(version=self.version)
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def translate(self, text, **kwargs):
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"""
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@param text: text to translate
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@return: translated text
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"""
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# Create the request parameters.
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translate_endpoint = 'translate'
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params = {
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"auth_key": self.api_key,
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"source_lang": self.source,
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"target_lang": self.target,
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"text": text
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}
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# Do the request and check the connection.
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try:
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response = requests.get(self.__base_url + translate_endpoint, params=params)
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except ConnectionError:
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raise ServerException(503)
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# If the answer is not success, raise server exception.
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if response.status_code == 403:
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raise AuthorizationException(self.api_key)
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elif response.status_code != 200:
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raise ServerException(response.status_code)
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# Get the response and check is not empty.
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res = response.json()
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if not res:
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raise TranslationNotFound(text)
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# Process and return the response.
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return res['translations'][0]['text']
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def translate_batch(self, batch, **kwargs):
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"""
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@param batch: list of texts to translate
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@return: list of translations
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"""
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return [self.translate(text, **kwargs) for text in batch]
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@staticmethod
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def get_supported_languages(as_dict=False, **kwargs):
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return [*DeepL._languages.keys()] if not as_dict else DeepL._languages
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def _is_language_supported(self, lang, **kwargs):
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# The language is supported when is in the dicionary.
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return lang == 'auto' or lang in self._languages.keys() or lang in self._languages.values()
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def _map_language_to_code(self, lang, **kwargs):
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if lang in self._languages.keys():
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return self._languages[lang]
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elif lang in self._languages.values():
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return lang
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raise LanguageNotSupportedException(lang)
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if __name__ == '__main__':
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d = DeepL(target="de")
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t = d.translate("I have no idea")
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print("text: ", t)
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