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mirror of https://github.com/searxng/searxng.git synced 2024-11-22 20:17:45 +01:00

[enh] score per result stat added

This commit is contained in:
asciimoo 2014-01-05 23:13:53 +01:00
parent 5c9f6d5174
commit a5544ab95e

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