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bazarr/libs/deep_translator/deepl.py

102 lines
3.2 KiB

from typing import List, Optional
import requests
from deep_translator.base import BaseTranslator
from deep_translator.constants import BASE_URLS, DEEPL_LANGUAGE_TO_CODE
from deep_translator.exceptions import (
AuthorizationException,
ServerException,
TranslationNotFound,
)
from deep_translator.validate import is_empty, is_input_valid
class DeeplTranslator(BaseTranslator):
"""
class that wraps functions, which use the DeeplTranslator translator under the hood to translate word(s)
"""
def __init__(
self,
api_key: Optional[str] = None,
source: str = "de",
target: str = "en",
use_free_api: bool = True,
**kwargs
):
"""
@param api_key: your DeeplTranslator 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
url = (
BASE_URLS.get("DEEPL_FREE").format(version=self.version)
if use_free_api
else BASE_URLS.get("DEEPL").format(version=self.version)
)
super().__init__(
base_url=url,
source=source,
target=target,
languages=DEEPL_LANGUAGE_TO_CODE,
**kwargs
)
def translate(self, text: str, **kwargs) -> str:
"""
@param text: text to translate
@return: translated text
"""
if is_input_valid(text):
if self._same_source_target() or is_empty(text):
return 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_file(self, path: str, **kwargs) -> str:
return self._translate_file(path, **kwargs)
def translate_batch(self, batch: List[str], **kwargs) -> List[str]:
"""
@param batch: list of texts to translate
@return: list of translations
"""
return self._translate_batch(batch, **kwargs)
if __name__ == "__main__":
d = DeeplTranslator(target="en", api_key="some-key")
t = d.translate("Ich habe keine ahnung")
print("text: ", t)