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[refactor] metrics.get_reliabilities() - make code more readable 

- init stat values by None
- drop round_or_none
- don't try to get percentage if base is 'None'

Signed-off-by: Markus Heiser <markus.heiser@darmarit.de>
This commit is contained in:
Markus Heiser 2021-05-21 12:09:51 +02:00
parent 99aaf86b73
commit 7728e25b11
1 changed files with 51 additions and 38 deletions
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89
searx/metrics/__init__.py
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@ -156,63 +156,76 @@ def get_reliabilities(engline_name_list, checker_results):
return reliabilities
def round_or_none(number, digits):
'''return None if number is None
return 0 if number is 0
otherwise round number with "digits numbers.
'''
return round(number, digits) if number is not None else number
def get_engines_stats(engine_name_list):
assert counter_storage is not None
assert histogram_storage is not None
list_time = []
max_time_total = max_result_count = None
max_time_total = max_result_count = None # noqa
for engine_name in engine_name_list:
sent_count = counter('engine', engine_name, 'search', 'count', 'sent')
if sent_count == 0:
continue
result_count = histogram('engine', engine_name, 'result', 'count').percentage(50)
result_count_sum = histogram('engine', engine_name, 'result', 'count').sum
successful_count = counter('engine', engine_name, 'search', 'count', 'successful')
time_total = histogram('engine', engine_name, 'time', 'total').percentage(50)
time_http = histogram('engine', engine_name, 'time', 'http').percentage(50)
time_total_p80 = histogram('engine', engine_name, 'time', 'total').percentage(80)
time_http_p80 = histogram('engine', engine_name, 'time', 'http').percentage(80)
time_total_p95 = histogram('engine', engine_name, 'time', 'total').percentage(95)
time_http_p95 = histogram('engine', engine_name, 'time', 'http').percentage(95)
result_count = histogram('engine', engine_name, 'result', 'count').percentage(50)
result_count_sum = histogram('engine', engine_name, 'result', 'count').sum
if successful_count and result_count_sum:
score = counter('engine', engine_name, 'score') # noqa
score_per_result = score / float(result_count_sum)
else:
score = score_per_result = 0.0
max_time_total = max(time_total or 0, max_time_total or 0)
max_result_count = max(result_count or 0, max_result_count or 0)
time_total_is_number = time_total is not None
list_time.append({
stats = {
'name': engine_name,
'total': round_or_none(time_total, 1),
'total_p80': round_or_none(time_total_p80, 1),
'total_p95': round_or_none(time_total_p95, 1),
'http': round_or_none(time_http, 1),
'http_p80': round_or_none(time_http_p80, 1),
'http_p95': round_or_none(time_http_p95, 1),
'processing': round(time_total - (time_http or 0), 1) if time_total_is_number else None,
'processing_p80': round(time_total_p80 - (time_http_p80 or 0), 1) if time_total_is_number else None,
'processing_p95': round(time_total_p95 - (time_http_p95 or 0), 1) if time_total_is_number else None,
'score': score,
'score_per_result': score_per_result,
'total': None,
'total_p80': None,
'total_p95': None,
'http': None,
'http_p80': None,
'http_p95': None,
'processing': None,
'processing_p80': None,
'processing_p95': None,
'score': 0,
'score_per_result': 0,
'result_count': result_count,
})
}
if successful_count and result_count_sum:
score = counter('engine', engine_name, 'score')
stats['score'] = score
stats['score_per_result'] = score / float(result_count_sum)
time_http = histogram('engine', engine_name, 'time', 'http').percentage(50)
time_http_p80 = time_http_p95 = 0
if time_http is not None:
time_http_p80 = histogram('engine', engine_name, 'time', 'http').percentage(80)
time_http_p95 = histogram('engine', engine_name, 'time', 'http').percentage(95)
stats['http'] = round(time_http, 1)
stats['http_p80'] = round(time_http_p80, 1)
stats['http_p95'] = round(time_http_p95, 1)
if time_total is not None:
time_total_p80 = histogram('engine', engine_name, 'time', 'total').percentage(80)
time_total_p95 = histogram('engine', engine_name, 'time', 'total').percentage(95)
stats['total'] = round(time_total, 1)
stats['total_p80'] = round(time_total_p80, 1)
stats['total_p95'] = round(time_total_p95, 1)
stats['processing'] = round(time_total - (time_http or 0), 1)
stats['processing_p80'] = round(time_total_p80 - time_http_p80, 1)
stats['processing_p95'] = round(time_total_p95 - time_http_p95, 1)
list_time.append(stats)
return {
'time': list_time,
'max_time': math.ceil(max_time_total or 0),