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			123 lines
		
	
	
		
			3.7 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			123 lines
		
	
	
		
			3.7 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| from lxml import html
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| from lxml.etree import _ElementStringResult, _ElementUnicodeResult
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| from searx.utils import html_to_text
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| from searx.url_utils import unquote, urlencode, urljoin, urlparse
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| 
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| search_url = None
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| url_xpath = None
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| content_xpath = None
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| title_xpath = None
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| paging = False
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| suggestion_xpath = ''
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| results_xpath = ''
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| 
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| # parameters for engines with paging support
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| #
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| # number of results on each page
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| # (only needed if the site requires not a page number, but an offset)
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| page_size = 1
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| # number of the first page (usually 0 or 1)
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| first_page_num = 1
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| 
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| 
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| '''
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| if xpath_results is list, extract the text from each result and concat the list
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| if xpath_results is a xml element, extract all the text node from it
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|    ( text_content() method from lxml )
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| if xpath_results is a string element, then it's already done
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| '''
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| 
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| 
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| def extract_text(xpath_results):
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|     if type(xpath_results) == list:
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|         # it's list of result : concat everything using recursive call
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|         result = ''
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|         for e in xpath_results:
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|             result = result + extract_text(e)
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|         return result.strip()
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|     elif type(xpath_results) in [_ElementStringResult, _ElementUnicodeResult]:
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|         # it's a string
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|         return ''.join(xpath_results)
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|     else:
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|         # it's a element
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|         text = html.tostring(xpath_results, encoding='unicode', method='text', with_tail=False)
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|         text = text.strip().replace('\n', ' ')
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|         return ' '.join(text.split())
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| 
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| 
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| def extract_url(xpath_results, search_url):
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|     if xpath_results == []:
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|         raise Exception('Empty url resultset')
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|     url = extract_text(xpath_results)
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| 
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|     if url.startswith('//'):
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|         # add http or https to this kind of url //example.com/
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|         parsed_search_url = urlparse(search_url)
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|         url = u'{0}:{1}'.format(parsed_search_url.scheme or 'http', url)
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|     elif url.startswith('/'):
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|         # fix relative url to the search engine
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|         url = urljoin(search_url, url)
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| 
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|     # normalize url
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|     url = normalize_url(url)
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| 
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|     return url
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| 
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| 
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| def normalize_url(url):
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|     parsed_url = urlparse(url)
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| 
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|     # add a / at this end of the url if there is no path
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|     if not parsed_url.netloc:
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|         raise Exception('Cannot parse url')
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|     if not parsed_url.path:
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|         url += '/'
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| 
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|     # FIXME : hack for yahoo
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|     if parsed_url.hostname == 'search.yahoo.com'\
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|        and parsed_url.path.startswith('/r'):
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|         p = parsed_url.path
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|         mark = p.find('/**')
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|         if mark != -1:
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|             return unquote(p[mark + 3:]).decode('utf-8')
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| 
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|     return url
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| 
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| 
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| def request(query, params):
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|     query = urlencode({'q': query})[2:]
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| 
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|     fp = {'query': query}
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|     if paging and search_url.find('{pageno}') >= 0:
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|         fp['pageno'] = (params['pageno'] - 1) * page_size + first_page_num
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| 
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|     params['url'] = search_url.format(**fp)
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|     params['query'] = query
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| 
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|     return params
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| 
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| 
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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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|     if results_xpath:
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|         for result in dom.xpath(results_xpath):
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|             url = extract_url(result.xpath(url_xpath), search_url)
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|             title = extract_text(result.xpath(title_xpath))
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|             content = extract_text(result.xpath(content_xpath))
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|             results.append({'url': url, 'title': title, 'content': content})
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|     else:
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|         for url, title, content in zip(
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|             (extract_url(x, search_url) for
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|              x in dom.xpath(url_xpath)),
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|             map(extract_text, dom.xpath(title_xpath)),
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|             map(extract_text, dom.xpath(content_xpath))
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|         ):
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|             results.append({'url': url, 'title': title, 'content': content})
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| 
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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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