mirror of
https://github.com/searxng/searxng.git
synced 2024-11-18 02:10:12 +01:00
249 lines
8.5 KiB
Python
249 lines
8.5 KiB
Python
# SPDX-License-Identifier: AGPL-3.0-or-later
|
|
# lint: pylint
|
|
# pylint: disable=missing-module-docstring
|
|
|
|
import typing
|
|
import math
|
|
import contextlib
|
|
from timeit import default_timer
|
|
from operator import itemgetter
|
|
|
|
from searx.engines import engines
|
|
from .models import HistogramStorage, CounterStorage, VoidHistogram, VoidCounterStorage
|
|
from .error_recorder import count_error, count_exception, errors_per_engines
|
|
|
|
__all__ = [
|
|
"initialize",
|
|
"get_engines_stats",
|
|
"get_engine_errors",
|
|
"histogram",
|
|
"histogram_observe",
|
|
"histogram_observe_time",
|
|
"counter",
|
|
"counter_inc",
|
|
"counter_add",
|
|
"count_error",
|
|
"count_exception",
|
|
]
|
|
|
|
|
|
ENDPOINTS = {'search'}
|
|
|
|
|
|
histogram_storage: typing.Optional[HistogramStorage] = None
|
|
counter_storage: typing.Optional[CounterStorage] = None
|
|
|
|
|
|
@contextlib.contextmanager
|
|
def histogram_observe_time(*args):
|
|
h = histogram_storage.get(*args)
|
|
before = default_timer()
|
|
yield before
|
|
duration = default_timer() - before
|
|
if h:
|
|
h.observe(duration)
|
|
else:
|
|
raise ValueError("histogram " + repr((*args,)) + " doesn't not exist")
|
|
|
|
|
|
def histogram_observe(duration, *args):
|
|
histogram_storage.get(*args).observe(duration)
|
|
|
|
|
|
def histogram(*args, raise_on_not_found=True):
|
|
h = histogram_storage.get(*args)
|
|
if raise_on_not_found and h is None:
|
|
raise ValueError("histogram " + repr((*args,)) + " doesn't not exist")
|
|
return h
|
|
|
|
|
|
def counter_inc(*args):
|
|
counter_storage.add(1, *args)
|
|
|
|
|
|
def counter_add(value, *args):
|
|
counter_storage.add(value, *args)
|
|
|
|
|
|
def counter(*args):
|
|
return counter_storage.get(*args)
|
|
|
|
|
|
def initialize(engine_names=None, enabled=True):
|
|
"""
|
|
Initialize metrics
|
|
"""
|
|
global counter_storage, histogram_storage # pylint: disable=global-statement
|
|
|
|
if enabled:
|
|
counter_storage = CounterStorage()
|
|
histogram_storage = HistogramStorage()
|
|
else:
|
|
counter_storage = VoidCounterStorage()
|
|
histogram_storage = HistogramStorage(histogram_class=VoidHistogram)
|
|
|
|
# max_timeout = max of all the engine.timeout
|
|
max_timeout = 2
|
|
for engine_name in engine_names or engines:
|
|
if engine_name in engines:
|
|
max_timeout = max(max_timeout, engines[engine_name].timeout)
|
|
|
|
# histogram configuration
|
|
histogram_width = 0.1
|
|
histogram_size = int(1.5 * max_timeout / histogram_width)
|
|
|
|
# engines
|
|
for engine_name in engine_names or engines:
|
|
# search count
|
|
counter_storage.configure('engine', engine_name, 'search', 'count', 'sent')
|
|
counter_storage.configure('engine', engine_name, 'search', 'count', 'successful')
|
|
# global counter of errors
|
|
counter_storage.configure('engine', engine_name, 'search', 'count', 'error')
|
|
# score of the engine
|
|
counter_storage.configure('engine', engine_name, 'score')
|
|
# result count per requests
|
|
histogram_storage.configure(1, 100, 'engine', engine_name, 'result', 'count')
|
|
# time doing HTTP requests
|
|
histogram_storage.configure(histogram_width, histogram_size, 'engine', engine_name, 'time', 'http')
|
|
# total time
|
|
# .time.request and ...response times may overlap .time.http time.
|
|
histogram_storage.configure(histogram_width, histogram_size, 'engine', engine_name, 'time', 'total')
|
|
|
|
|
|
def get_engine_errors(engline_name_list):
|
|
result = {}
|
|
engine_names = list(errors_per_engines.keys())
|
|
engine_names.sort()
|
|
for engine_name in engine_names:
|
|
if engine_name not in engline_name_list:
|
|
continue
|
|
|
|
error_stats = errors_per_engines[engine_name]
|
|
sent_search_count = max(counter('engine', engine_name, 'search', 'count', 'sent'), 1)
|
|
sorted_context_count_list = sorted(error_stats.items(), key=lambda context_count: context_count[1])
|
|
r = []
|
|
for context, count in sorted_context_count_list:
|
|
percentage = round(20 * count / sent_search_count) * 5
|
|
r.append(
|
|
{
|
|
'filename': context.filename,
|
|
'function': context.function,
|
|
'line_no': context.line_no,
|
|
'code': context.code,
|
|
'exception_classname': context.exception_classname,
|
|
'log_message': context.log_message,
|
|
'log_parameters': context.log_parameters,
|
|
'secondary': context.secondary,
|
|
'percentage': percentage,
|
|
}
|
|
)
|
|
result[engine_name] = sorted(r, reverse=True, key=lambda d: d['percentage'])
|
|
return result
|
|
|
|
|
|
def get_reliabilities(engline_name_list, checker_results):
|
|
reliabilities = {}
|
|
|
|
engine_errors = get_engine_errors(engline_name_list)
|
|
|
|
for engine_name in engline_name_list:
|
|
checker_result = checker_results.get(engine_name, {})
|
|
checker_success = checker_result.get('success', True)
|
|
errors = engine_errors.get(engine_name) or []
|
|
if counter('engine', engine_name, 'search', 'count', 'sent') == 0:
|
|
# no request
|
|
reliability = None
|
|
elif checker_success and not errors:
|
|
reliability = 100
|
|
elif 'simple' in checker_result.get('errors', {}):
|
|
# the basic (simple) test doesn't work: the engine is broken according to the checker
|
|
# even if there is no exception
|
|
reliability = 0
|
|
else:
|
|
# pylint: disable=consider-using-generator
|
|
reliability = 100 - sum([error['percentage'] for error in errors if not error.get('secondary')])
|
|
|
|
reliabilities[engine_name] = {
|
|
'reliability': reliability,
|
|
'errors': errors,
|
|
'checker': checker_results.get(engine_name, {}).get('errors', {}),
|
|
}
|
|
return reliabilities
|
|
|
|
|
|
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
|
|
|
|
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)
|
|
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)
|
|
|
|
stats = {
|
|
'name': engine_name,
|
|
'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),
|
|
'max_result_count': math.ceil(max_result_count or 0),
|
|
}
|