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https://github.com/searxng/searxng
synced 2024-01-01 18:24:07 +00:00
[enh] score per result stat added
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@ -226,12 +226,14 @@ def search(query, request, selected_engines):
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return results, suggestions
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def get_engines_stats():
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# TODO refactor
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pageloads = []
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results = []
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scores = []
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errors = []
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scores_per_result = []
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max_pageload = max_results = max_score = max_errors = 0
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max_pageload = max_results = max_score = max_errors = max_score_per_result = 0
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for engine in engines.values():
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if engine.stats['search_count'] == 0:
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continue
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@ -239,16 +241,19 @@ def get_engines_stats():
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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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score = engine.stats['score_count'] / float(engine.stats['search_count'])
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score_per_result = score / results_num
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else:
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score = 0
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score = score_per_result = 0.0
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max_results = max(results_num, max_results)
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max_pageload = max(load_times, max_pageload)
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max_score = max(score, max_score)
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max_score_per_result = max(score_per_result, max_score_per_result)
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max_errors = max(max_errors, engine.stats['errors'])
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pageloads.append({'avg': load_times, 'name': engine.name})
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results.append({'avg': results_num, 'name': engine.name})
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scores.append({'avg': score, 'name': engine.name})
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errors.append({'avg': engine.stats['errors'], 'name': engine.name})
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scores_per_result.append({'avg': score_per_result, 'name': engine.name})
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for engine in pageloads:
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engine['percentage'] = int(engine['avg']/max_pageload*100)
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@ -259,6 +264,9 @@ def get_engines_stats():
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for engine in scores:
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engine['percentage'] = int(engine['avg']/max_score*100)
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for engine in scores_per_result:
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engine['percentage'] = int(engine['avg']/max_score_per_result*100)
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for engine in errors:
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if max_errors:
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engine['percentage'] = int(float(engine['avg'])/max_errors*100)
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@ -269,5 +277,6 @@ def get_engines_stats():
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return [('Page loads (sec)', sorted(pageloads, key=itemgetter('avg')))
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,('Number of results', sorted(results, key=itemgetter('avg'), reverse=True))
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,('Scores', sorted(scores, key=itemgetter('avg'), reverse=True))
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,('Scores per result', sorted(scores_per_result, key=itemgetter('avg'), reverse=True))
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,('Errors', sorted(errors, key=itemgetter('avg'), reverse=True))
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]
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