forked from zaclys/searxng
[mod] scoring mods
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0f301adf60
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@ -136,7 +136,7 @@ def search(query, request, selected_categories):
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for i,res in enumerate(flat_res):
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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['parsed_url'] = urlparse(res['url'])
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res['engines'] = [res['engine']]
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res['engines'] = [res['engine']]
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score = (flat_len - i)*settings.weights.get(res['engine'], 1)
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score = (flat_len - i - flat_len%len(engines))*settings.weights.get(res['engine'], 1)
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duplicated = False
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duplicated = False
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for new_res in results:
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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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if res['parsed_url'].netloc == new_res['parsed_url'].netloc and\
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@ -176,7 +176,7 @@ def get_engines_stats():
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results_num = engine.stats['result_count']/float(engine.stats['search_count'])
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results_num = engine.stats['result_count']/float(engine.stats['search_count'])
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load_times = engine.stats['page_load_time']/float(engine.stats['search_count'])
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load_times = engine.stats['page_load_time']/float(engine.stats['search_count'])
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if results_num:
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if results_num:
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score = engine.stats['score_count'] / float(engine.stats['search_count']) / results_num
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score = engine.stats['score_count'] / float(engine.stats['search_count'])
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else:
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else:
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score = 0
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score = 0
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max_results = max(results_num, max_results)
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max_results = max(results_num, max_results)
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