mirror of https://github.com/morpheus65535/bazarr
177 lines
6.5 KiB
Python
177 lines
6.5 KiB
Python
"""
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mymemory translator API
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"""
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import logging
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import warnings
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from .constants import BASE_URLS, GOOGLE_LANGUAGES_TO_CODES
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from .exceptions import (NotValidPayload,
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TranslationNotFound,
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LanguageNotSupportedException,
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RequestError,
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TooManyRequests)
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from .parent import BaseTranslator
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import requests
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from time import sleep
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class MyMemoryTranslator(BaseTranslator):
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"""
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class that uses the mymemory translator to translate texts
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"""
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_languages = GOOGLE_LANGUAGES_TO_CODES
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supported_languages = list(_languages.keys())
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def __init__(self, source="auto", target="en", proxies=None, **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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self.__base_url = BASE_URLS.get("MYMEMORY")
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self.proxies = proxies
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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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self._source = self._source if self._source != 'auto' else 'Lao'
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self.email = kwargs.get('email', None)
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super(MyMemoryTranslator, self).__init__(base_url=self.__base_url,
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source=self._source,
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target=self._target,
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payload_key='q',
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langpair='{}|{}'.format(self._source, self._target))
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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 mymemory 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 MyMemoryTranslator.supported_languages if not as_dict else MyMemoryTranslator._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, return_all=False, **kwargs):
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"""
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function that uses the mymemory translator to translate a text
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@param text: desired text to translate
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@type text: str
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@param return_all: set to True to return all synonym/similars of the translated text
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@return: str or list
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"""
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if self._validate_payload(text, max_chars=500):
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text = text.strip()
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if self.payload_key:
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self._url_params[self.payload_key] = text
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if self.email:
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self._url_params['de'] = self.email
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response = requests.get(self.__base_url,
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params=self._url_params,
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headers=self.headers,
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proxies=self.proxies)
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if response.status_code == 429:
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raise TooManyRequests()
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if response.status_code != 200:
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raise RequestError()
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data = response.json()
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if not data:
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TranslationNotFound(text)
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translation = data.get('responseData').get('translatedText')
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if translation:
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return translation
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elif not translation:
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all_matches = data.get('matches')
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matches = (match['translation'] for match in all_matches)
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next_match = next(matches)
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return next_match if not return_all else list(all_matches)
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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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warn_msg = "deprecated. Use the translate_batch function instead"
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warnings.warn(warn_msg, DeprecationWarning, stacklevel=2)
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logging.warning(warn_msg)
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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, **kwargs)
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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_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, 'r', encoding='utf-8') as f:
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text = f.read().strip()
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return self.translate(text=text)
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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 text in batch:
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translated = self.translate(text, **kwargs)
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arr.append(translated)
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sleep(2)
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return arr
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