''' searx is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. searx is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details. You should have received a copy of the GNU Affero General Public License along with searx. If not, see < http://www.gnu.org/licenses/ >. (C) 2013- by Adam Tauber, ''' from os.path import realpath, dirname, splitext, join from os import listdir from imp import load_source import grequests from itertools import izip_longest, chain from operator import itemgetter from urlparse import urlparse from searx import settings engine_dir = dirname(realpath(__file__)) engines = {} categories = {'general': []} for filename in listdir(engine_dir): if filename.startswith('_') or not filename.endswith('.py'): continue modname = splitext(filename)[0] if modname in settings.blacklist: continue filepath = join(engine_dir, filename) engine = load_source(modname, filepath) engine.name = modname if not hasattr(engine, 'request') or not hasattr(engine, 'response'): continue engines[modname] = engine if not hasattr(engine, 'categories'): categories['general'].append(engine) else: for category_name in engine.categories: categories.setdefault(category_name, []).append(engine) def default_request_params(): return {'method': 'GET', 'headers': {}, 'data': {}, 'url': '', 'cookies': {}} def make_callback(engine_name, results, callback): def process_callback(response, **kwargs): cb_res = [] for result in callback(response): result['engine'] = engine_name cb_res.append(result) results[engine_name] = cb_res return process_callback def search(query, request, selected_categories): global engines, categories requests = [] results = {} selected_engines = [] user_agent = request.headers.get('User-Agent', '') if not len(selected_categories): selected_categories = ['general'] for categ in selected_categories: selected_engines.extend({'category': categ, 'name': x.name} for x in categories[categ]) for selected_engine in selected_engines: if selected_engine['name'] not in engines: continue engine = engines[selected_engine['name']] request_params = default_request_params() request_params['headers']['User-Agent'] = user_agent request_params['category'] = selected_engine['category'] request_params = engine.request(query, request_params) callback = make_callback(selected_engine['name'], results, engine.response) if request_params['method'] == 'GET': req = grequests.get(request_params['url'] ,headers=request_params['headers'] ,hooks=dict(response=callback) ,cookies = request_params['cookies'] ) else: req = grequests.post(request_params['url'] ,data=request_params['data'] ,headers=request_params['headers'] ,hooks=dict(response=callback) ,cookies = request_params['cookies'] ) requests.append(req) grequests.map(requests) flat_res = filter(None, chain.from_iterable(izip_longest(*results.values()))) flat_len = len(flat_res) results = [] # deduplication + scoring for i,res in enumerate(flat_res): res['parsed_url'] = urlparse(res['url']) score = (flat_len - i)*settings.weights.get(res['engine'], 1) duplicated = False for new_res in results: if res['parsed_url'].netloc == new_res['parsed_url'].netloc and\ res['parsed_url'].path == new_res['parsed_url'].path and\ res['parsed_url'].query == new_res['parsed_url'].query: duplicated = new_res break if duplicated: if len(res.get('content', '')) > len(duplicated.get('content', '')): duplicated['content'] = res['content'] duplicated['score'] += score duplicated['engine'] += ', '+res['engine'] if duplicated['parsed_url'].scheme == 'https': continue elif res['parsed_url'].scheme == 'https': duplicated['parsed_url'].scheme == 'https' duplicated['url'] = duplicated['parsed_url'].geturl() else: res['score'] = score results.append(res) return sorted(results, key=itemgetter('score'), reverse=True)