forked from zaclys/searxng
[enh] mymemory translated engine added for multi-word translations
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@ -0,0 +1,63 @@
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import re
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from urlparse import urljoin
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from lxml import html
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from cgi import escape
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from searx.engines.xpath import extract_text
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from searx.languages import language_codes
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categories = ['general']
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url = 'http://api.mymemory.translated.net/get?q={query}&langpair={from_lang}|{to_lang}'
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web_url = 'http://mymemory.translated.net/en/{from_lang}/{to_lang}/{query}'
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weight = 100
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parser_re = re.compile(u'.*?([a-z]+)-([a-z]+) (.{2,})$', re.I)
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def is_valid_lang(lang):
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is_abbr = (len(lang) == 2)
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if is_abbr:
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for l in language_codes:
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if l[0][:2] == lang.lower():
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return (True, l[0][:2], l[1].lower())
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return False
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else:
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for l in language_codes:
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if l[1].lower() == lang.lower():
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return (True, l[0][:2], l[1].lower())
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return False
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def request(query, params):
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m = parser_re.match(unicode(query, 'utf8'))
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if not m:
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return params
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from_lang, to_lang, query = m.groups()
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from_lang = is_valid_lang(from_lang)
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to_lang = is_valid_lang(to_lang)
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if not from_lang or not to_lang:
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return params
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params['url'] = url.format(from_lang=from_lang[1],
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to_lang=to_lang[1],
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query=query)
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params['query'] = query
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params['from_lang'] = from_lang
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params['to_lang'] = to_lang
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return params
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def response(resp):
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results = []
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results.append({
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'url': escape(web_url.format(from_lang=resp.search_params['from_lang'][2],
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to_lang=resp.search_params['to_lang'][2],
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query=resp.search_params['query'])),
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'title': escape('[{0}-{1}] {2}'.format(resp.search_params['from_lang'][1],
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resp.search_params['to_lang'][1],
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resp.search_params['query'])),
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'content': escape(resp.json()['responseData']['translatedText'])
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})
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return results
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@ -499,6 +499,14 @@ engines:
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engine : dictzone
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engine : dictzone
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shortcut : dc
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shortcut : dc
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- name : mymemory translated
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engine : translated
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shortcut : tl
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timeout : 5.0
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# You can use without an API key, but you are limited to 1000 words/day
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# See : http://mymemory.translated.net/doc/usagelimits.php
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# api_key : ''
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#The blekko technology and team have joined IBM Watson! -> https://blekko.com/
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#The blekko technology and team have joined IBM Watson! -> https://blekko.com/
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# - name : blekko images
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# - name : blekko images
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# engine : blekko_images
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# engine : blekko_images
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