searxng/searx/search.py

478 lines
16 KiB
Python

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