mirror of https://github.com/morpheus65535/bazarr
90 lines
3.2 KiB
Python
90 lines
3.2 KiB
Python
import requests
|
|
from .constants import BASE_URLS, DEEPL_LANGUAGE_TO_CODE
|
|
from .exceptions import (ServerException,
|
|
TranslationNotFound,
|
|
LanguageNotSupportedException,
|
|
AuthorizationException)
|
|
|
|
|
|
class DeepL(object):
|
|
"""
|
|
class that wraps functions, which use the DeepL translator under the hood to translate word(s)
|
|
"""
|
|
_languages = DEEPL_LANGUAGE_TO_CODE
|
|
|
|
def __init__(self, api_key=None, source="en", target="en", use_free_api=True, **kwargs):
|
|
"""
|
|
@param api_key: your DeepL api key.
|
|
Get one here: https://www.deepl.com/docs-api/accessing-the-api/
|
|
@param source: source language
|
|
@param target: target language
|
|
"""
|
|
if not api_key:
|
|
raise ServerException(401)
|
|
self.version = 'v2'
|
|
self.api_key = api_key
|
|
self.source = self._map_language_to_code(source)
|
|
self.target = self._map_language_to_code(target)
|
|
if use_free_api:
|
|
self.__base_url = BASE_URLS.get("DEEPL_FREE").format(version=self.version)
|
|
else:
|
|
self.__base_url = BASE_URLS.get("DEEPL").format(version=self.version)
|
|
|
|
def translate(self, text, **kwargs):
|
|
"""
|
|
@param text: text to translate
|
|
@return: translated text
|
|
"""
|
|
# Create the request parameters.
|
|
translate_endpoint = 'translate'
|
|
params = {
|
|
"auth_key": self.api_key,
|
|
"source_lang": self.source,
|
|
"target_lang": self.target,
|
|
"text": text
|
|
}
|
|
# Do the request and check the connection.
|
|
try:
|
|
response = requests.get(self.__base_url + translate_endpoint, params=params)
|
|
except ConnectionError:
|
|
raise ServerException(503)
|
|
# If the answer is not success, raise server exception.
|
|
if response.status_code == 403:
|
|
raise AuthorizationException(self.api_key)
|
|
elif response.status_code != 200:
|
|
raise ServerException(response.status_code)
|
|
# Get the response and check is not empty.
|
|
res = response.json()
|
|
if not res:
|
|
raise TranslationNotFound(text)
|
|
# Process and return the response.
|
|
return res['translations'][0]['text']
|
|
|
|
def translate_batch(self, batch, **kwargs):
|
|
"""
|
|
@param batch: list of texts to translate
|
|
@return: list of translations
|
|
"""
|
|
return [self.translate(text, **kwargs) for text in batch]
|
|
|
|
@staticmethod
|
|
def get_supported_languages(as_dict=False, **kwargs):
|
|
return [*DeepL._languages.keys()] if not as_dict else DeepL._languages
|
|
|
|
def _is_language_supported(self, lang, **kwargs):
|
|
# The language is supported when is in the dicionary.
|
|
return lang == 'auto' or lang in self._languages.keys() or lang in self._languages.values()
|
|
|
|
def _map_language_to_code(self, lang, **kwargs):
|
|
if lang in self._languages.keys():
|
|
return self._languages[lang]
|
|
elif lang in self._languages.values():
|
|
return lang
|
|
raise LanguageNotSupportedException(lang)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
d = DeepL(target="de")
|
|
t = d.translate("I have no idea")
|
|
print("text: ", t)
|