forked from Ponysearch/Ponysearch
[mod] result scoring separated
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1 changed files with 43 additions and 38 deletions
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@ -123,6 +123,46 @@ def highlight_content(content, query):
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return content
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return content
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def score_results(results):
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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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engines_len = len(results)
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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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res['engines'] = [res['engine']]
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weight = 1.0
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if hasattr(engines[res['engine']], 'weight'):
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weight = float(engines[res['engine']].weight)
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elif res['engine'] in settings.weights:
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weight = float(settings.weights[res['engine']])
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score = int((flat_len - i)/engines_len)*weight+1
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duplicated = False
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for new_res in results:
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p1 = res['parsed_url'].path[:-1] if res['parsed_url'].path.endswith('/') else res['parsed_url'].path
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p2 = new_res['parsed_url'].path[:-1] if new_res['parsed_url'].path.endswith('/') else new_res['parsed_url'].path
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if res['parsed_url'].netloc == new_res['parsed_url'].netloc and\
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p1 == 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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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['engines'].append(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['url'] = res['parsed_url'].geturl()
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duplicated['parsed_url'] = res['parsed_url']
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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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def search(query, request, selected_engines):
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def search(query, request, selected_engines):
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global engines, categories, number_of_searches
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global engines, categories, number_of_searches
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requests = []
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requests = []
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@ -165,43 +205,8 @@ def search(query, request, selected_engines):
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for engine_name,engine_results in results.items():
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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['search_count'] += 1
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engines[engine_name].stats['result_count'] += len(engine_results)
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engines[engine_name].stats['result_count'] += len(engine_results)
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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 = score_results(results)
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engines_len = len(selected_engines)
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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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res['engines'] = [res['engine']]
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weight = 1.0
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if hasattr(engines[res['engine']], 'weight'):
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weight = float(engines[res['engine']].weight)
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elif res['engine'] in settings.weights:
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weight = float(settings.weights[res['engine']])
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score = int((flat_len - i)/engines_len)*weight+1
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duplicated = False
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for new_res in results:
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p1 = res['parsed_url'].path[:-1] if res['parsed_url'].path.endswith('/') else res['parsed_url'].path
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p2 = new_res['parsed_url'].path[:-1] if new_res['parsed_url'].path.endswith('/') else new_res['parsed_url'].path
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if res['parsed_url'].netloc == new_res['parsed_url'].netloc and\
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p1 == 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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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['engines'].append(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['url'] = res['parsed_url'].geturl()
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duplicated['parsed_url'] = res['parsed_url']
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else:
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res['score'] = score
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results.append(res)
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for result in results:
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for result in results:
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if 'content' in result:
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if 'content' in result:
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@ -209,7 +214,7 @@ def search(query, request, selected_engines):
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for res_engine in result['engines']:
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for res_engine in result['engines']:
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engines[result['engine']].stats['score_count'] += result['score']
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engines[result['engine']].stats['score_count'] += result['score']
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return sorted(results, key=itemgetter('score'), reverse=True)
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return results
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def get_engines_stats():
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def get_engines_stats():
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pageloads = []
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pageloads = []
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