forked from Archives/searxng
478 lines
16 KiB
Python
478 lines
16 KiB
Python
'''
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searx is free software: you can redistribute it and/or modify
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it under the terms of the GNU Affero General Public License as published by
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the Free Software Foundation, either version 3 of the License, or
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(at your option) any later version.
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searx is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU Affero General Public License for more details.
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You should have received a copy of the GNU Affero General Public License
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along with searx. If not, see < http://www.gnu.org/licenses/ >.
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(C) 2013- by Adam Tauber, <asciimoo@gmail.com>
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'''
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import grequests
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import re
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from itertools import izip_longest, chain
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from datetime import datetime
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from operator import itemgetter
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from urlparse import urlparse, unquote
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from searx.engines import (
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categories, engines, engine_shortcuts
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)
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from searx.languages import language_codes
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from searx.utils import gen_useragent
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from searx.query import Query
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number_of_searches = 0
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# get default reqest parameter
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def default_request_params():
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return {
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'method': 'GET', 'headers': {}, 'data': {}, 'url': '', 'cookies': {}}
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# create a callback wrapper for the search engine results
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def make_callback(engine_name, results, suggestions, answers, infoboxes, callback, params):
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# creating a callback wrapper for the search engine results
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def process_callback(response, **kwargs):
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cb_res = []
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response.search_params = params
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# callback
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try:
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search_results = callback(response)
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except Exception, e:
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# increase errors stats
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engines[engine_name].stats['errors'] += 1
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results[engine_name] = cb_res
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# print engine name and specific error message
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print '[E] Error with engine "{0}":\n\t{1}'.format(
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engine_name, str(e))
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return
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# add results
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for result in search_results:
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result['engine'] = engine_name
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# if it is a suggestion, add it to list of suggestions
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if 'suggestion' in result:
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# TODO type checks
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suggestions.add(result['suggestion'])
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continue
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# if it is an answer, add it to list of answers
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if 'answer' in result:
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answers.add(result['answer'])
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continue
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# if it is an infobox, add it to list of infoboxes
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if 'infobox' in result:
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infoboxes.append(result)
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continue
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# append result
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cb_res.append(result)
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results[engine_name] = cb_res
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# update stats with current page-load-time
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engines[engine_name].stats['page_load_time'] += \
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(datetime.now() - params['started']).total_seconds()
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return process_callback
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# return the meaningful length of the content for a result
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def content_result_len(content):
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if isinstance(content, basestring):
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content = re.sub('[,;:!?\./\\\\ ()-_]', '', content)
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return len(content)
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else:
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return 0
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# score results and remove duplications
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def score_results(results):
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# calculate scoring parameters
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flat_res = filter(
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None, chain.from_iterable(izip_longest(*results.values())))
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flat_len = len(flat_res)
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engines_len = len(results)
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results = []
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# pass 1: deduplication + scoring
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for i, res in enumerate(flat_res):
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res['parsed_url'] = urlparse(res['url'])
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res['host'] = res['parsed_url'].netloc
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if res['host'].startswith('www.'):
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res['host'] = res['host'].replace('www.', '', 1)
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res['engines'] = [res['engine']]
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weight = 1.0
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# strip multiple spaces and cariage returns from content
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if 'content' in res:
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res['content'] = re.sub(' +', ' ', res['content'].strip().replace('\n', ''))
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# get weight of this engine if possible
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if hasattr(engines[res['engine']], 'weight'):
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weight = float(engines[res['engine']].weight)
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# calculate score for that engine
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score = int((flat_len - i) / engines_len) * weight + 1
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# check for duplicates
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duplicated = False
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for new_res in results:
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# remove / from the end of the url if required
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p1 = res['parsed_url'].path[:-1] if res['parsed_url'].path.endswith('/') else res['parsed_url'].path # noqa
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p2 = new_res['parsed_url'].path[:-1] if new_res['parsed_url'].path.endswith('/') else new_res['parsed_url'].path # noqa
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# check if that result is a duplicate
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if res['host'] == new_res['host'] and\
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unquote(p1) == unquote(p2) and\
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res['parsed_url'].query == new_res['parsed_url'].query and\
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res.get('template') == new_res.get('template'):
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duplicated = new_res
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break
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# merge duplicates together
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if duplicated:
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# using content with more text
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if content_result_len(res.get('content', '')) > content_result_len(duplicated.get('content', '')):
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duplicated['content'] = res['content']
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# increase result-score
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duplicated['score'] += score
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# add engine to list of result-engines
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duplicated['engines'].append(res['engine'])
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# using https if possible
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if duplicated['parsed_url'].scheme == 'https':
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continue
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elif res['parsed_url'].scheme == 'https':
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duplicated['url'] = res['parsed_url'].geturl()
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duplicated['parsed_url'] = res['parsed_url']
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# if there is no duplicate found, append result
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else:
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res['score'] = score
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results.append(res)
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results = sorted(results, key=itemgetter('score'), reverse=True)
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# pass 2 : group results by category and template
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gresults = []
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categoryPositions = {}
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for i, res in enumerate(results):
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# FIXME : handle more than one category per engine
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category = engines[res['engine']].categories[0] + ':' + '' if 'template' not in res else res['template']
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current = None if category not in categoryPositions else categoryPositions[category]
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# group with previous results using the same category if the group can accept more result and is not too far from the current position
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if current != None and (current['count'] > 0) and (len(gresults) - current['index'] < 20):
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# group with the previous results using the same category with this one
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index = current['index']
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gresults.insert(index, res)
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# update every index after the current one (including the current one)
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for k in categoryPositions:
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v = categoryPositions[k]['index']
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if v >= index:
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categoryPositions[k]['index'] = v+1
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# update this category
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current['count'] -= 1
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else:
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# same category
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gresults.append(res)
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# update categoryIndex
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categoryPositions[category] = { 'index' : len(gresults), 'count' : 8 }
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# return gresults
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return gresults
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def merge_two_infoboxes(infobox1, infobox2):
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if 'urls' in infobox2:
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urls1 = infobox1.get('urls', None)
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if urls1 == None:
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urls1 = []
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infobox1.set('urls', urls1)
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urlSet = set()
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for url in infobox1.get('urls', []):
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urlSet.add(url.get('url', None))
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for url in infobox2.get('urls', []):
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if url.get('url', None) not in urlSet:
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urls1.append(url)
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if 'attributes' in infobox2:
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attributes1 = infobox1.get('attributes', None)
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if attributes1 == None:
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attributes1 = []
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infobox1.set('attributes', attributes1)
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attributeSet = set()
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for attribute in infobox1.get('attributes', []):
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if attribute.get('label', None) not in attributeSet:
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attributeSet.add(attribute.get('label', None))
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for attribute in infobox2.get('attributes', []):
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attributes1.append(attribute)
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if 'content' in infobox2:
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content1 = infobox1.get('content', None)
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content2 = infobox2.get('content', '')
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if content1 != None:
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if content_result_len(content2) > content_result_len(content1):
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infobox1['content'] = content2
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else:
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infobox1.set('content', content2)
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def merge_infoboxes(infoboxes):
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results = []
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infoboxes_id = {}
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for infobox in infoboxes:
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add_infobox = True
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infobox_id = infobox.get('id', None)
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if infobox_id != None:
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existingIndex = infoboxes_id.get(infobox_id, None)
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if existingIndex != None:
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merge_two_infoboxes(results[existingIndex], infobox)
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add_infobox=False
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if add_infobox:
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results.append(infobox)
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infoboxes_id[infobox_id] = len(results)-1
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return results
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class Search(object):
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"""Search information container"""
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def __init__(self, request):
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# init vars
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super(Search, self).__init__()
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self.query = None
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self.engines = []
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self.categories = []
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self.paging = False
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self.pageno = 1
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self.lang = 'all'
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# set blocked engines
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if request.cookies.get('blocked_engines'):
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self.blocked_engines = request.cookies['blocked_engines'].split(',') # noqa
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else:
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self.blocked_engines = []
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self.results = []
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self.suggestions = []
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self.answers = []
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self.infoboxes = []
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self.request_data = {}
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# set specific language if set
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if request.cookies.get('language')\
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and request.cookies['language'] in (x[0] for x in language_codes):
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self.lang = request.cookies['language']
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# set request method
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if request.method == 'POST':
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self.request_data = request.form
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else:
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self.request_data = request.args
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# TODO better exceptions
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if not self.request_data.get('q'):
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raise Exception('noquery')
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# set query
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self.query = self.request_data['q']
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# set pagenumber
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pageno_param = self.request_data.get('pageno', '1')
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if not pageno_param.isdigit() or int(pageno_param) < 1:
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raise Exception('wrong pagenumber')
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self.pageno = int(pageno_param)
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# parse query, if tags are set, which change the serch engine or search-language
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query_obj = Query(self.query, self.blocked_engines)
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query_obj.parse_query()
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# get last selected language in query, if possible
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# TODO support search with multible languages
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if len(query_obj.languages):
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self.lang = query_obj.languages[-1]
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self.engines = query_obj.engines
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self.categories = []
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# if engines are calculated from query, set categories by using that informations
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if self.engines:
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self.categories = list(set(engine['category']
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for engine in self.engines))
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# otherwise, using defined categories to calculate which engines should be used
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else:
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# set used categories
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for pd_name, pd in self.request_data.items():
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if pd_name.startswith('category_'):
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category = pd_name[9:]
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# if category is not found in list, skip
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if not category in categories:
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continue
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# add category to list
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self.categories.append(category)
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# if no category is specified for this search, using user-defined default-configuration which (is stored in cookie)
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if not self.categories:
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cookie_categories = request.cookies.get('categories', '')
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cookie_categories = cookie_categories.split(',')
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for ccateg in cookie_categories:
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if ccateg in categories:
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self.categories.append(ccateg)
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# if still no category is specified, using general as default-category
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if not self.categories:
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self.categories = ['general']
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# using all engines for that search, which are declared under the specific categories
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for categ in self.categories:
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self.engines.extend({'category': categ,
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'name': x.name}
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for x in categories[categ]
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if not x.name in self.blocked_engines)
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# do search-request
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def search(self, request):
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global number_of_searches
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# init vars
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requests = []
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results = {}
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suggestions = set()
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answers = set()
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infoboxes = []
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# increase number of searches
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number_of_searches += 1
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# set default useragent
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#user_agent = request.headers.get('User-Agent', '')
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user_agent = gen_useragent()
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# start search-reqest for all selected engines
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for selected_engine in self.engines:
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if selected_engine['name'] not in engines:
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continue
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engine = engines[selected_engine['name']]
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# if paging is not supported, skip
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if self.pageno > 1 and not engine.paging:
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continue
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# if search-language is set and engine does not provide language-support, skip
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if self.lang != 'all' and not engine.language_support:
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continue
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# set default request parameters
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request_params = default_request_params()
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request_params['headers']['User-Agent'] = user_agent
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request_params['category'] = selected_engine['category']
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request_params['started'] = datetime.now()
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request_params['pageno'] = self.pageno
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request_params['language'] = self.lang
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# update request parameters dependent on search-engine (contained in engines folder)
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request_params = engine.request(self.query.encode('utf-8'),
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request_params)
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if request_params['url'] is None:
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# TODO add support of offline engines
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pass
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# create a callback wrapper for the search engine results
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callback = make_callback(
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selected_engine['name'],
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results,
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suggestions,
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answers,
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infoboxes,
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engine.response,
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request_params
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)
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# create dictionary which contain all informations about the request
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request_args = dict(
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headers=request_params['headers'],
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hooks=dict(response=callback),
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cookies=request_params['cookies'],
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timeout=engine.timeout
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)
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# specific type of request (GET or POST)
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if request_params['method'] == 'GET':
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req = grequests.get
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else:
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req = grequests.post
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request_args['data'] = request_params['data']
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# ignoring empty urls
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if not request_params['url']:
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continue
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# append request to list
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requests.append(req(request_params['url'], **request_args))
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# send all search-request
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grequests.map(requests)
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# update engine-specific stats
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for engine_name, engine_results in results.items():
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engines[engine_name].stats['search_count'] += 1
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engines[engine_name].stats['result_count'] += len(engine_results)
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# score results and remove duplications
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results = score_results(results)
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# merge infoboxes according to their ids
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infoboxes = merge_infoboxes(infoboxes)
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# update engine stats, using calculated score
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for result in results:
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for res_engine in result['engines']:
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engines[result['engine']]\
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.stats['score_count'] += result['score']
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# return results, suggestions, answers and infoboxes
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return results, suggestions, answers, infoboxes
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