543 lines
18 KiB
Python
543 lines
18 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 requests as requests_lib
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import threading
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import re
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from itertools import izip_longest, chain
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from operator import itemgetter
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from Queue import Queue
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from time import time
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from urlparse import urlparse, unquote
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from searx.engines import (
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categories, engines
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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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def search_request_wrapper(fn, url, engine_name, **kwargs):
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try:
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return fn(url, **kwargs)
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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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# 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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def threaded_requests(requests):
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timeout_limit = max(r[2]['timeout'] for r in requests)
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search_start = time()
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for fn, url, request_args, engine_name in requests:
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request_args['timeout'] = timeout_limit
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th = threading.Thread(
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target=search_request_wrapper,
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args=(fn, url, engine_name),
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kwargs=request_args,
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name='search_request',
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)
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th._engine_name = engine_name
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th.start()
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for th in threading.enumerate():
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if th.name == 'search_request':
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remaining_time = max(0.0, timeout_limit - (time() - search_start))
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th.join(remaining_time)
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if th.isAlive():
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print('engine timeout: {0}'.format(th._engine_name))
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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',
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'headers': {},
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'data': {},
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'url': '',
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'cookies': {},
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'verify': True
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}
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# create a callback wrapper for the search engine results
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def make_callback(engine_name, results_queue, 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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response.search_params = params
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timeout_overhead = 0.2 # seconds
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search_duration = time() - params['started']
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timeout_limit = engines[engine_name].timeout + timeout_overhead
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if search_duration > timeout_limit:
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engines[engine_name].stats['page_load_time'] += timeout_limit
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engines[engine_name].stats['errors'] += 1
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return
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# callback
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search_results = callback(response)
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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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results_queue.put_nowait((engine_name, search_results))
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# update stats with current page-load-time
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engines[engine_name].stats['page_load_time'] += search_duration
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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 res.get('content'):
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res['content'] = re.sub(' +', ' ',
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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]\
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if res['parsed_url'].path.endswith('/')\
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else res['parsed_url'].path
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p2 = new_res['parsed_url'].path[:-1]\
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if new_res['parsed_url'].path.endswith('/')\
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else new_res['parsed_url'].path
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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', '')) >\
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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] + ':' + ''\
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if 'template' not in res\
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else res['template']
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current = None if category not in categoryPositions\
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else categoryPositions[category]
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# group with previous results using the same category
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# if the group can accept more result and is not too far
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# from the current position
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if current is not None and (current['count'] > 0)\
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and (len(gresults) - current['index'] < 20):
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# group with the previous results using
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# 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
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# (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 is 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 is 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 is not 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 is not None:
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existingIndex = infoboxes_id.get(infobox_id, None)
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if existingIndex is not 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 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
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# the serch engine or search-language
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query_obj = Query(self.request_data['q'], self.blocked_engines)
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query_obj.parse_query()
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# set query
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self.query = query_obj.getSearchQuery()
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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,
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# 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
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# 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 category not 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,
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# using user-defined default-configuration which
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# (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
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# 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
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# 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 x.name not 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_queue = Queue()
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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
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# 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'] = time()
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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
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# search-engine (contained in engines folder)
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engine.request(self.query.encode('utf-8'), 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_queue,
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engine.response,
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request_params)
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# create dictionary which contain all
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# 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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verify=request_params['verify']
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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 = requests_lib.get
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else:
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req = requests_lib.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'],
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request_args,
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selected_engine['name']))
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if not requests:
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return results, suggestions, answers, infoboxes
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# send all search-request
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threaded_requests(requests)
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while not results_queue.empty():
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engine_name, engine_results = results_queue.get_nowait()
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# TODO type checks
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[suggestions.add(x['suggestion'])
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for x in list(engine_results)
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if 'suggestion' in x
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and engine_results.remove(x) is None]
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[answers.add(x['answer'])
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for x in list(engine_results)
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if 'answer' in x
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and engine_results.remove(x) is None]
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infoboxes.extend(x for x in list(engine_results)
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if 'infobox' in x
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and engine_results.remove(x) is None)
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results[engine_name] = engine_results
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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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