forked from zaclys/searxng
67 lines
2.4 KiB
Python
67 lines
2.4 KiB
Python
#!/usr/bin/env python
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from urllib import urlencode
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from lxml import html
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from searx.engines.xpath import extract_text, extract_url
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from searx.engines.yahoo import parse_url
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from datetime import datetime, timedelta
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import re
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categories = ['news']
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search_url = 'http://news.search.yahoo.com/search?{query}&b={offset}'
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results_xpath = '//div[@class="res"]'
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url_xpath = './/h3/a/@href'
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title_xpath = './/h3/a'
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content_xpath = './/div[@class="abstr"]'
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publishedDate_xpath = './/span[@class="timestamp"]'
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suggestion_xpath = '//div[@id="satat"]//a'
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paging = True
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def request(query, params):
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offset = (params['pageno'] - 1) * 10 + 1
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if params['language'] == 'all':
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language = 'en'
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else:
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language = params['language'].split('_')[0]
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params['url'] = search_url.format(offset=offset,
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query=urlencode({'p': query}))
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params['cookies']['sB'] = 'fl=1&vl=lang_{lang}&sh=1&rw=new&v=1'\
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.format(lang=language)
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return params
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def response(resp):
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results = []
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dom = html.fromstring(resp.text)
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for result in dom.xpath(results_xpath):
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url = parse_url(extract_url(result.xpath(url_xpath), search_url))
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title = extract_text(result.xpath(title_xpath)[0])
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content = extract_text(result.xpath(content_xpath)[0])
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publishedDate = extract_text(result.xpath(publishedDate_xpath)[0])
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if re.match("^[0-9]+ minute(s|) ago$", publishedDate):
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publishedDate = datetime.now() - timedelta(minutes=int(re.match(r'\d+', publishedDate).group()))
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else:
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if re.match("^[0-9]+ hour(s|), [0-9]+ minute(s|) ago$", publishedDate):
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timeNumbers = re.findall(r'\d+', publishedDate)
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publishedDate = datetime.now() - timedelta(hours=int(timeNumbers[0])) - timedelta(minutes=int(timeNumbers[1]))
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else:
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# TODO year in string possible?
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publishedDate = datetime.strptime(publishedDate,"%b %d %H:%M%p")
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if publishedDate.year == 1900:
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publishedDate = publishedDate.replace(year=datetime.now().year)
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results.append({'url': url, 'title': title, 'content': content,'publishedDate':publishedDate})
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if not suggestion_xpath:
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return results
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for suggestion in dom.xpath(suggestion_xpath):
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results.append({'suggestion': extract_text(suggestion)})
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return results
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