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[mod] Adds Lingva translate engine
Add the lingva engine (which grabs data from google translate). Results from Lingva are added to the infobox results.
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searx/engines/lingva.py
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68
searx/engines/lingva.py
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# SPDX-License-Identifier: AGPL-3.0-or-later
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# lint: pylint
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"""Lingva (alternative Google Translate frontend)"""
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from json import loads
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about = {
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"website": 'https://lingva.ml',
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"wikidata_id": None,
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"official_api_documentation": 'https://github.com/thedaviddelta/lingva-translate#public-apis',
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"use_official_api": True,
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"require_api_key": False,
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"results": 'JSON',
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}
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engine_type = 'online_dictionary'
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categories = ['general']
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url = "https://lingva.ml"
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search_url = "{url}/api/v1/{from_lang}/{to_lang}/{query}"
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def request(_query, params):
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params['url'] = search_url.format(
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url=url, from_lang=params['from_lang'][1], to_lang=params['to_lang'][1], query=params['query']
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)
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return params
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def response(resp):
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results = []
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result = loads(resp.text)
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info = result["info"]
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from_to_prefix = "%s-%s " % (resp.search_params['from_lang'][1], resp.search_params['to_lang'][1])
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if "typo" in info:
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results.append({"suggestion": from_to_prefix + info["typo"]})
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if 'definitions' in info: # pylint: disable=too-many-nested-blocks
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for definition in info['definitions']:
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if 'list' in definition:
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for item in definition['list']:
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if 'synonyms' in item:
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for synonym in item['synonyms']:
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results.append({"suggestion": from_to_prefix + synonym})
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infobox = ""
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for translation in info["extraTranslations"]:
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infobox += f"<b>{translation['type']}</b>"
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for word in translation["list"]:
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infobox += f"<dl><dt>{word['word']}</dt>"
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for meaning in word["meanings"]:
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infobox += f"<dd>{meaning}</dd>"
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infobox += "</dl>"
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results.append(
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{
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'infobox': result["translation"],
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'content': infobox,
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}
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)
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return results
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@ -886,6 +886,12 @@ engines:
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shortcut: loc
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categories: images
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- name: lingva
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engine: lingva
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shortcut: lv
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# set lingva instance in url, by default it will use the official instance
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# url: https://lingva.ml
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- name: lobste.rs
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engine: xpath
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search_url: https://lobste.rs/search?utf8=%E2%9C%93&q={query}&what=stories&order=relevance
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