forked from zaclys/searxng
[enh] dictionary engine added
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searx/engines/dictionary.py
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70
searx/engines/dictionary.py
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@ -0,0 +1,70 @@
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import re
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from lxml import html
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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 = []
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url = 'http://dictzone.com/{from_lang}-{to_lang}-dictionary/{query}'
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weight = 100
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parser_re = re.compile(u'.*?([a-z]+)-([a-z]+) (.+)', re.I)
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results_xpath = './/table[@id="r"]/tr'
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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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if len(from_lang) == 2:
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lan = filter(lambda x: x[0][:2] == from_lang, language_codes)
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if lan:
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from_lang = lan[0][1].lower()
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else:
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return params
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if len(to_lang) == 2:
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lan = filter(lambda x: x[0][:2] == to_lang, language_codes)
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if lan:
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to_lang = lan[0][1].lower()
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else:
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return params
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params['url'] = url.format(from_lang=from_lang, to_lang=to_lang,query=query)
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params['from_lang'] = from_lang
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params['to_lang'] = to_lang
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params['query'] = query
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return params
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def response(resp):
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results = []
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answers = []
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dom = html.fromstring(resp.text)
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for result in dom.xpath(results_xpath)[1:]:
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try:
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from_result, to_results_raw = result.xpath('./td')
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except:
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continue
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to_results = []
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for to_result in to_results_raw.xpath('./p/a'):
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t = to_result.text_content()
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if t.strip():
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to_results.append(to_result.text_content())
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results.append({
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'answer': u'{0} - {1}'.format(
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from_result.text_content(),
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'; '.join(to_results)
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),
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'url': url
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})
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return results
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@ -495,6 +495,10 @@ engines:
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timeout: 6.0
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categories : science
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- name : dictionary
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engine : dictionary
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shortcut : dc
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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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# engine : blekko_images
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