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80 lines
2.4 KiB
Python
80 lines
2.4 KiB
Python
import requests
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from skills.config import deepl_api_key
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from skills.config import google_api_key
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from skills.skill import Skill
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# from config import deepl_api_key
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# from config import google_api_key
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# from skill import Skill
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"""
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Reading material for this:
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https://www.deepl.com/en/docs-api
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https://cloud.google.com/translate/docs/overview
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offline local:
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https://github.com/argosopentech/argos-translate
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use deep-translator to access both deepl and google translate and more
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https://github.com/nidhaloff/deep-translator
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"""
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class Translations(Skill):
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def __init__(self):
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self.trigger_phrase = "translate"
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# These vars would be good canidates for a future monitoring dashboard
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self.total_chars_translated = 0
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self.deepl_chars_translated = 0
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self.googl_chars_translated = 0 #only increment if api charged for the characters (read docs to figure this out)
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self.free_monthly_char_limit_googl = 500000
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self.free_monthly_char_limit_deepl = 500000
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self.supported_deepl_langs = ["list of supported languages"]
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def _get_language_code(self, query):
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return "FR" #TODO: Convert parse language from query and convert possibly into lang code depending on api requirements
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# Return None if language not recognized
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def _clean_up_text(self, query):
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return "cleaned up text" #TODO: remove characters that are not needed to translate text (apis charge per char sent, not per char translated)
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def translate_deepl(self, text, language):
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self.deepl_chars_translated += len(text)
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headers = {
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'Authorization': 'DeepL-Auth-Key ' + deepl_api_key,
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'Content-Type': 'application/json',
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}
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json_data = {
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'text': [text],
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'target_lang': language,
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}
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response = requests.post('https://api-free.deepl.com/v2/translate', headers=headers, json=json_data)
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return response
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def translate_google(self, text, language):
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self.google_chars_translated += len(text)
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return "" #TODO: add in google translate api, probably using python client library for google api
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def translate(self, text):
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parsed_text = self._clean_up_text(text) #TODO: Parse text and extract language and query from it,
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target_language = self._get_language_code(text)
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if target_language in self.supported_deepl_langs:
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return self.translate_deepl(parsed_text, target_language)
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if target_language is not None:
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return self.translate_google(text, target_language)
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return self.translate_google(text, "auto")
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