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'''
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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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from os.path import realpath, dirname, splitext, join
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from os import listdir
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from imp import load_source
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import grequests
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from itertools import izip_longest, chain
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from operator import itemgetter
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from urlparse import urlparse
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from searx import settings
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engine_dir = dirname(realpath(__file__))
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engines = {}
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categories = {'general': []}
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for filename in listdir(engine_dir):
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if filename.startswith('_') or not filename.endswith('.py'):
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continue
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modname = splitext(filename)[0]
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if modname in settings.blacklist:
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continue
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filepath = join(engine_dir, filename)
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engine = load_source(modname, filepath)
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engine.name = modname
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if not hasattr(engine, 'request') or not hasattr(engine, 'response'):
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continue
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engines[modname] = engine
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if not hasattr(engine, 'categories'):
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categories['general'].append(engine)
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else:
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for category_name in engine.categories:
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categories.setdefault(category_name, []).append(engine)
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def default_request_params():
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return {'method': 'GET', 'headers': {}, 'data': {}, 'url': '', 'cookies': {}}
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def make_callback(engine_name, results, callback):
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def process_callback(response, **kwargs):
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cb_res = []
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for result in callback(response):
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result['engine'] = engine_name
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cb_res.append(result)
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results[engine_name] = cb_res
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return process_callback
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def search(query, request, selected_categories):
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global engines, categories
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requests = []
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results = {}
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selected_engines = []
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user_agent = request.headers.get('User-Agent', '')
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if not len(selected_categories):
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selected_categories = ['general']
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for categ in selected_categories:
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selected_engines.extend({'category': categ, 'name': x.name} for x in categories[categ])
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for selected_engine in selected_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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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 = engine.request(query, request_params)
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callback = make_callback(selected_engine['name'], results, engine.response)
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if request_params['method'] == 'GET':
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req = grequests.get(request_params['url']
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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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)
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else:
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req = grequests.post(request_params['url']
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,data=request_params['data']
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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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)
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requests.append(req)
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grequests.map(requests)
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flat_res = filter(None, chain.from_iterable(izip_longest(*results.values())))
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flat_len = len(flat_res)
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results = []
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# 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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score = (flat_len - i)*settings.weights.get(res['engine'], 1)
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duplicated = False
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for new_res in results:
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if res['parsed_url'].netloc == new_res['parsed_url'].netloc and\
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res['parsed_url'].path == new_res['parsed_url'].path 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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if duplicated:
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if len(res.get('content', '')) > len(duplicated.get('content', '')):
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duplicated['content'] = res['content']
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duplicated['score'] += score
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duplicated['engine'] += ', '+res['engine']
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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['parsed_url'].scheme == 'https'
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duplicated['url'] = duplicated['parsed_url'].geturl()
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else:
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res['score'] = score
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results.append(res)
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return sorted(results, key=itemgetter('score'), reverse=True)
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