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[enh] rewrite and enhance metrics

This commit is contained in:
Alexandre Flament 2021-04-14 17:23:15 +02:00
parent aae7830d14
commit 7acd7ffc02
13 changed files with 427 additions and 210 deletions
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114
searx/engines/__init__.py
View File

@ -21,7 +21,6 @@ import threading
from os.path import realpath, dirname
from babel.localedata import locale_identifiers
from urllib.parse import urlparse
from flask_babel import gettext
from operator import itemgetter
from searx import settings
from searx import logger
@ -136,22 +135,6 @@ def load_engine(engine_data):
setattr(engine, 'fetch_supported_languages',
lambda: engine._fetch_supported_languages(get(engine.supported_languages_url, headers=headers)))
engine.stats = {
'sent_search_count': 0, # sent search
'search_count': 0, # succesful search
'result_count': 0,
'engine_time': 0,
'engine_time_count': 0,
'score_count': 0,
'errors': 0
}
engine_type = getattr(engine, 'engine_type', 'online')
if engine_type != 'offline':
engine.stats['page_load_time'] = 0
engine.stats['page_load_count'] = 0
# tor related settings
if settings['outgoing'].get('using_tor_proxy'):
# use onion url if using tor.
@ -175,103 +158,6 @@ def load_engine(engine_data):
return engine
def to_percentage(stats, maxvalue):
for engine_stat in stats:
if maxvalue:
engine_stat['percentage'] = int(engine_stat['avg'] / maxvalue * 100)
else:
engine_stat['percentage'] = 0
return stats
def get_engines_stats(preferences):
# TODO refactor
pageloads = []
engine_times = []
results = []
scores = []
errors = []
scores_per_result = []
max_pageload = max_engine_times = max_results = max_score = max_errors = max_score_per_result = 0 # noqa
for engine in engines.values():
if not preferences.validate_token(engine):
continue
if engine.stats['search_count'] == 0:
continue
results_num = \
engine.stats['result_count'] / float(engine.stats['search_count'])
if engine.stats['engine_time_count'] != 0:
this_engine_time = engine.stats['engine_time'] / float(engine.stats['engine_time_count']) # noqa
else:
this_engine_time = 0
if results_num:
score = engine.stats['score_count'] / float(engine.stats['search_count']) # noqa
score_per_result = score / results_num
else:
score = score_per_result = 0.0
if engine.engine_type != 'offline':
load_times = 0
if engine.stats['page_load_count'] != 0:
load_times = engine.stats['page_load_time'] / float(engine.stats['page_load_count']) # noqa
max_pageload = max(load_times, max_pageload)
pageloads.append({'avg': load_times, 'name': engine.name})
max_engine_times = max(this_engine_time, max_engine_times)
max_results = max(results_num, max_results)
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'])
engine_times.append({'avg': this_engine_time, 'name': engine.name})
results.append({'avg': results_num, 'name': engine.name})
scores.append({'avg': score, 'name': engine.name})
errors.append({'avg': engine.stats['errors'], 'name': engine.name})
scores_per_result.append({
'avg': score_per_result,
'name': engine.name
})
pageloads = to_percentage(pageloads, max_pageload)
engine_times = to_percentage(engine_times, max_engine_times)
results = to_percentage(results, max_results)
scores = to_percentage(scores, max_score)
scores_per_result = to_percentage(scores_per_result, max_score_per_result)
errors = to_percentage(errors, max_errors)
return [
(
gettext('Engine time (sec)'),
sorted(engine_times, key=itemgetter('avg'))
),
(
gettext('Page loads (sec)'),
sorted(pageloads, key=itemgetter('avg'))
),
(
gettext('Number of results'),
sorted(results, key=itemgetter('avg'), reverse=True)
),
(
gettext('Scores'),
sorted(scores, key=itemgetter('avg'), reverse=True)
),
(
gettext('Scores per result'),
sorted(scores_per_result, key=itemgetter('avg'), reverse=True)
),
(
gettext('Errors'),
sorted(errors, key=itemgetter('avg'), reverse=True)
),
]
def load_engines(engine_list):
global engines, engine_shortcuts
engines.clear()

206
searx/metrics/__init__.py Normal file
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@ -0,0 +1,206 @@
# SPDX-License-Identifier: AGPL-3.0-or-later
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
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):
"""
Initialize metrics
"""
global counter_storage, histogram_storage
counter_storage = CounterStorage()
histogram_storage = HistogramStorage()
# 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_list):
result = {}
engine_names = list(errors_per_engines.keys())
engine_names.sort()
for engine_name in engine_names:
if engine_name not in engline_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 to_percentage(stats, maxvalue):
for engine_stat in stats:
if maxvalue:
engine_stat['percentage'] = int(engine_stat['avg'] / maxvalue * 100)
else:
engine_stat['percentage'] = 0
return stats
def get_engines_stats(engine_list):
global counter_storage, histogram_storage
assert counter_storage is not None
assert histogram_storage is not None
list_time = []
list_time_http = []
list_time_total = []
list_result_count = []
list_error_count = []
list_scores = []
list_scores_per_result = []
max_error_count = max_http_time = max_time_total = max_result_count = max_score = None # noqa
for engine_name in engine_list:
error_count = counter('engine', engine_name, 'search', 'count', 'error')
if counter('engine', engine_name, 'search', 'count', 'sent') > 0:
list_error_count.append({'avg': error_count, 'name': engine_name})
max_error_count = max(error_count, max_error_count or 0)
successful_count = counter('engine', engine_name, 'search', 'count', 'successful')
if successful_count == 0:
continue
result_count_sum = histogram('engine', engine_name, 'result', 'count').sum
time_total = histogram('engine', engine_name, 'time', 'total').percentage(50)
time_http = histogram('engine', engine_name, 'time', 'http').percentage(50)
result_count = result_count_sum / float(successful_count)
if result_count:
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, max_time_total or 0)
max_http_time = max(time_http, max_http_time or 0)
max_result_count = max(result_count, max_result_count or 0)
max_score = max(score, max_score or 0)
list_time.append({'total': round(time_total, 1),
'http': round(time_http, 1),
'name': engine_name,
'processing': round(time_total - time_http, 1)})
list_time_total.append({'avg': time_total, 'name': engine_name})
list_time_http.append({'avg': time_http, 'name': engine_name})
list_result_count.append({'avg': result_count, 'name': engine_name})
list_scores.append({'avg': score, 'name': engine_name})
list_scores_per_result.append({'avg': score_per_result, 'name': engine_name})
list_time = sorted(list_time, key=itemgetter('total'))
list_time_total = sorted(to_percentage(list_time_total, max_time_total), key=itemgetter('avg'))
list_time_http = sorted(to_percentage(list_time_http, max_http_time), key=itemgetter('avg'))
list_result_count = sorted(to_percentage(list_result_count, max_result_count), key=itemgetter('avg'), reverse=True)
list_scores = sorted(list_scores, key=itemgetter('avg'), reverse=True)
list_scores_per_result = sorted(list_scores_per_result, key=itemgetter('avg'), reverse=True)
list_error_count = sorted(to_percentage(list_error_count, max_error_count), key=itemgetter('avg'), reverse=True)
return {
'time': list_time,
'max_time': math.ceil(max_time_total or 0),
'time_total': list_time_total,
'time_http': list_time_http,
'result_count': list_result_count,
'scores': list_scores,
'scores_per_result': list_scores_per_result,
'error_count': list_error_count,
}

7
searx/metrology/error_recorder.py → searx/metrics/error_recorder.py
View File

@ -1,6 +1,5 @@
import typing
import inspect
import logging
from json import JSONDecodeError
from urllib.parse import urlparse
from httpx import HTTPError, HTTPStatusError
@ -9,8 +8,6 @@ from searx.exceptions import (SearxXPathSyntaxException, SearxEngineXPathExcepti
from searx import logger
logging.basicConfig(level=logging.INFO)
errors_per_engines = {}
@ -124,7 +121,7 @@ def get_error_context(framerecords, exception_classname, log_message, log_parame
return ErrorContext(filename, function, line_no, code, exception_classname, log_message, log_parameters)
def record_exception(engine_name: str, exc: Exception) -> None:
def count_exception(engine_name: str, exc: Exception) -> None:
framerecords = inspect.trace()
try:
exception_classname = get_exception_classname(exc)
@ -135,7 +132,7 @@ def record_exception(engine_name: str, exc: Exception) -> None:
del framerecords
def record_error(engine_name: str, log_message: str, log_parameters: typing.Optional[typing.Tuple] = None) -> None:
def count_error(engine_name: str, log_message: str, log_parameters: typing.Optional[typing.Tuple] = None) -> None:
framerecords = list(reversed(inspect.stack()[1:]))
try:
error_context = get_error_context(framerecords, None, log_message, log_parameters or ())

156
searx/metrics/models.py Normal file
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@ -0,0 +1,156 @@
# SPDX-License-Identifier: AGPL-3.0-or-later
import decimal
import threading
from searx import logger
__all__ = ["Histogram", "HistogramStorage", "CounterStorage"]
logger = logger.getChild('searx.metrics')
class Histogram:
_slots__ = '_lock', '_size', '_sum', '_quartiles', '_count', '_width'
def __init__(self, width=10, size=200):
self._lock = threading.Lock()
self._width = width
self._size = size
self._quartiles = [0] * size
self._count = 0
self._sum = 0
def observe(self, value):
q = int(value / self._width)
if q < 0:
"""Value below zero is ignored"""
q = 0
if q >= self._size:
"""Value above the maximum is replaced by the maximum"""
q = self._size - 1
with self._lock:
self._quartiles[q] += 1
self._count += 1
self._sum += value
@property
def quartiles(self):
return list(self._quartiles)
@property
def count(self):
return self._count
@property
def sum(self):
return self._sum
@property
def average(self):
with self._lock:
if self._count != 0:
return self._sum / self._count
else:
return 0
@property
def quartile_percentage(self):
''' Quartile in percentage '''
with self._lock:
if self._count > 0:
return [int(q * 100 / self._count) for q in self._quartiles]
else:
return self._quartiles
@property
def quartile_percentage_map(self):
result = {}
# use Decimal to avoid rounding errors
x = decimal.Decimal(0)
width = decimal.Decimal(self._width)
width_exponent = -width.as_tuple().exponent
with self._lock:
if self._count > 0:
for y in self._quartiles:
yp = int(y * 100 / self._count)
if yp != 0:
result[round(float(x), width_exponent)] = yp
x += width
return result
def percentage(self, percentage):
# use Decimal to avoid rounding errors
x = decimal.Decimal(0)
width = decimal.Decimal(self._width)
stop_at_value = decimal.Decimal(self._count) / 100 * percentage
sum_value = 0
with self._lock:
if self._count > 0:
for y in self._quartiles:
sum_value += y
if sum_value >= stop_at_value:
return x
x += width
return None
def __repr__(self):
return "Histogram<avg: " + str(self.average) + ", count: " + str(self._count) + ">"
class HistogramStorage:
__slots__ = 'measures'
def __init__(self):
self.clear()
def clear(self):
self.measures = {}
def configure(self, width, size, *args):
measure = Histogram(width, size)
self.measures[args] = measure
return measure
def get(self, *args):
return self.measures.get(args, None)
def dump(self):
logger.debug("Histograms:")
ks = sorted(self.measures.keys(), key='/'.join)
for k in ks:
logger.debug("- %-60s %s", '|'.join(k), self.measures[k])
class CounterStorage:
__slots__ = 'counters', 'lock'
def __init__(self):
self.lock = threading.Lock()
self.clear()
def clear(self):
with self.lock:
self.counters = {}
def configure(self, *args):
with self.lock:
self.counters[args] = 0
def get(self, *args):
return self.counters[args]
def add(self, value, *args):
with self.lock:
self.counters[args] += value
def dump(self):
with self.lock:
ks = sorted(self.counters.keys(), key='/'.join)
logger.debug("Counters:")
for k in ks:
logger.debug("- %-60s %s", '|'.join(k), self.counters[k])

0
searx/metrology/__init__.py
View File

8
searx/network/__init__.py
View File

@ -3,7 +3,7 @@
import asyncio
import threading
import concurrent.futures
from time import time
from timeit import default_timer
import httpx
import h2.exceptions
@ -65,7 +65,7 @@ def get_context_network():
def request(method, url, **kwargs):
"""same as requests/requests/api.py request(...)"""
time_before_request = time()
time_before_request = default_timer()
# timeout (httpx)
if 'timeout' in kwargs:
@ -82,7 +82,7 @@ def request(method, url, **kwargs):
timeout += 0.2 # overhead
start_time = getattr(THREADLOCAL, 'start_time', time_before_request)
if start_time:
timeout -= time() - start_time
timeout -= default_timer() - start_time
# raise_for_error
check_for_httperror = True
@ -111,7 +111,7 @@ def request(method, url, **kwargs):
# update total_time.
# See get_time_for_thread() and reset_time_for_thread()
if hasattr(THREADLOCAL, 'total_time'):
time_after_request = time()
time_after_request = default_timer()
THREADLOCAL.total_time += time_after_request - time_before_request
# raise an exception

2
searx/raise_for_httperror/__init__.py Normal file
View File

@ -0,0 +1,2 @@
# compatibility with searx/searx
from searx.network import raise_for_httperror

11
searx/results.py
View File

@ -5,7 +5,7 @@ from threading import RLock
from urllib.parse import urlparse, unquote
from searx import logger
from searx.engines import engines
from searx.metrology.error_recorder import record_error
from searx.metrics import histogram_observe, counter_add, count_error
CONTENT_LEN_IGNORED_CHARS_REGEX = re.compile(r'[,;:!?\./\\\\ ()-_]', re.M | re.U)
@ -196,12 +196,10 @@ class ResultContainer:
if len(error_msgs) > 0:
for msg in error_msgs:
record_error(engine_name, 'some results are invalids: ' + msg)
count_error(engine_name, 'some results are invalids: ' + msg)
if engine_name in engines:
with RLock():
engines[engine_name].stats['search_count'] += 1
engines[engine_name].stats['result_count'] += standard_result_count
histogram_observe(standard_result_count, 'engine', engine_name, 'result', 'count')
if not self.paging and standard_result_count > 0 and engine_name in engines\
and engines[engine_name].paging:
@ -301,9 +299,8 @@ class ResultContainer:
for result in self._merged_results:
score = result_score(result)
result['score'] = score
with RLock():
for result_engine in result['engines']:
engines[result_engine].stats['score_count'] += score
counter_add(score, 'engine', result_engine, 'score')
results = sorted(self._merged_results, key=itemgetter('score'), reverse=True)

13
searx/search/__init__.py
View File

@ -18,7 +18,7 @@ along with searx. If not, see < http://www.gnu.org/licenses/ >.
import typing
import gc
import threading
from time import time
from timeit import default_timer
from uuid import uuid4
from _thread import start_new_thread
@ -31,6 +31,7 @@ from searx.plugins import plugins
from searx.search.models import EngineRef, SearchQuery
from searx.search.processors import processors, initialize as initialize_processors
from searx.search.checker import initialize as initialize_checker
from searx.metrics import initialize as initialize_metrics, counter_inc, histogram_observe_time
logger = logger.getChild('search')
@ -50,6 +51,7 @@ else:
def initialize(settings_engines=None, enable_checker=False):
settings_engines = settings_engines or settings['engines']
initialize_processors(settings_engines)
initialize_metrics([engine['name'] for engine in settings_engines])
if enable_checker:
initialize_checker()
@ -115,8 +117,7 @@ class Search:
if request_params is None:
continue
with processor.lock:
processor.engine.stats['sent_search_count'] += 1
counter_inc('engine', engineref.name, 'search', 'count', 'sent')
# append request to list
requests.append((engineref.name, self.search_query.query, request_params))
@ -161,7 +162,7 @@ class Search:
for th in threading.enumerate():
if th.name == search_id:
remaining_time = max(0.0, self.actual_timeout - (time() - self.start_time))
remaining_time = max(0.0, self.actual_timeout - (default_timer() - self.start_time))
th.join(remaining_time)
if th.is_alive():
th._timeout = True
@ -184,12 +185,10 @@ class Search:
# do search-request
def search(self):
self.start_time = time()
self.start_time = default_timer()
if not self.search_external_bang():
if not self.search_answerers():
self.search_standard()
return self.result_container

4
searx/search/checker/impl.py
View File

@ -16,6 +16,7 @@ from searx import network, logger
from searx.results import ResultContainer
from searx.search.models import SearchQuery, EngineRef
from searx.search.processors import EngineProcessor
from searx.metrics import counter_inc
logger = logger.getChild('searx.search.checker')
@ -384,8 +385,7 @@ class Checker:
engineref_category = search_query.engineref_list[0].category
params = self.processor.get_params(search_query, engineref_category)
if params is not None:
with self.processor.lock:
self.processor.engine.stats['sent_search_count'] += 1
counter_inc('engine', search_query.engineref_list[0].name, 'search', 'count', 'sent')
self.processor.search(search_query.query, params, result_container, time(), 5)
return result_container

29
searx/search/processors/abstract.py
View File

@ -2,12 +2,12 @@
import threading
from abc import abstractmethod, ABC
from time import time
from timeit import default_timer
from searx import logger
from searx.engines import settings
from searx.network import get_time_for_thread, get_network
from searx.metrology.error_recorder import record_exception, record_error
from searx.metrics import histogram_observe, counter_inc, count_exception, count_error
from searx.exceptions import SearxEngineAccessDeniedException
@ -27,7 +27,7 @@ class SuspendedStatus:
@property
def is_suspended(self):
return self.suspend_end_time >= time()
return self.suspend_end_time >= default_timer()
def suspend(self, suspended_time, suspend_reason):
with self.lock:
@ -36,7 +36,7 @@ class SuspendedStatus:
if suspended_time is None:
suspended_time = min(settings['search']['max_ban_time_on_fail'],
self.continuous_errors * settings['search']['ban_time_on_fail'])
self.suspend_end_time = time() + suspended_time
self.suspend_end_time = default_timer() + suspended_time
self.suspend_reason = suspend_reason
logger.debug('Suspend engine for %i seconds', suspended_time)
@ -55,7 +55,6 @@ class EngineProcessor(ABC):
def __init__(self, engine, engine_name):
self.engine = engine
self.engine_name = engine_name
self.lock = threading.Lock()
key = get_network(self.engine_name)
key = id(key) if key else self.engine_name
self.suspended_status = SUSPENDED_STATUS.setdefault(key, SuspendedStatus())
@ -65,12 +64,11 @@ class EngineProcessor(ABC):
error_message = str(exception) if display_exception and exception else None
result_container.add_unresponsive_engine(self.engine_name, reason, error_message)
# metrics
with self.lock:
self.engine.stats['errors'] += 1
counter_inc('engine', self.engine_name, 'search', 'count', 'error')
if exception:
record_exception(self.engine_name, exception)
count_exception(self.engine_name, exception)
else:
record_error(self.engine_name, reason)
count_error(self.engine_name, reason)
# suspend the engine ?
if suspend:
suspended_time = None
@ -81,17 +79,14 @@ class EngineProcessor(ABC):
def _extend_container_basic(self, result_container, start_time, search_results):
# update result_container
result_container.extend(self.engine_name, search_results)
engine_time = time() - start_time
engine_time = default_timer() - start_time
page_load_time = get_time_for_thread()
result_container.add_timing(self.engine_name, engine_time, page_load_time)
# metrics
with self.lock:
self.engine.stats['engine_time'] += engine_time
self.engine.stats['engine_time_count'] += 1
# update stats with the total HTTP time
if page_load_time is not None and 'page_load_time' in self.engine.stats:
self.engine.stats['page_load_time'] += page_load_time
self.engine.stats['page_load_count'] += 1
counter_inc('engine', self.engine_name, 'search', 'count', 'successful')
histogram_observe(engine_time, 'engine', self.engine_name, 'time', 'total')
if page_load_time is not None:
histogram_observe(page_load_time, 'engine', self.engine_name, 'time', 'http')
def extend_container(self, result_container, start_time, search_results):
if getattr(threading.current_thread(), '_timeout', False):

4
searx/search/processors/online.py
View File

@ -10,7 +10,7 @@ from searx import logger
from searx.utils import gen_useragent
from searx.exceptions import (SearxEngineAccessDeniedException, SearxEngineCaptchaException,
SearxEngineTooManyRequestsException,)
from searx.metrology.error_recorder import record_error
from searx.metrics.error_recorder import count_error
from searx.search.processors.abstract import EngineProcessor
@ -90,7 +90,7 @@ class OnlineProcessor(EngineProcessor):
status_code = str(response.status_code or '')
reason = response.reason_phrase or ''
hostname = response.url.host
record_error(self.engine_name,
count_error(self.engine_name,
'{} redirects, maximum: {}'.format(len(response.history), soft_max_redirects),
(status_code, reason, hostname))

77
searx/webapp.py
View File

@ -51,7 +51,7 @@ from searx import logger
logger = logger.getChild('webapp')
from datetime import datetime, timedelta
from time import time
from timeit import default_timer
from html import escape
from io import StringIO
from urllib.parse import urlencode, urlparse
@ -73,9 +73,7 @@ from flask.json import jsonify
from searx import brand, static_path
from searx import settings, searx_dir, searx_debug
from searx.exceptions import SearxParameterException
from searx.engines import (
categories, engines, engine_shortcuts, get_engines_stats
)
from searx.engines import categories, engines, engine_shortcuts
from searx.webutils import (
UnicodeWriter, highlight_content, get_resources_directory,
get_static_files, get_result_templates, get_themes,
@ -95,7 +93,7 @@ from searx.preferences import Preferences, ValidationException, LANGUAGE_CODES
from searx.answerers import answerers
from searx.network import stream as http_stream
from searx.answerers import ask
from searx.metrology.error_recorder import errors_per_engines
from searx.metrics import get_engines_stats, get_engine_errors, histogram
# serve pages with HTTP/1.1
from werkzeug.serving import WSGIRequestHandler
@ -463,7 +461,7 @@ def _get_ordered_categories():
@app.before_request
def pre_request():
request.start_time = time()
request.start_time = default_timer()
request.timings = []
request.errors = []
@ -521,7 +519,7 @@ def add_default_headers(response):
@app.after_request
def post_request(response):
total_time = time() - request.start_time
total_time = default_timer() - request.start_time
timings_all = ['total;dur=' + str(round(total_time * 1000, 3))]
if len(request.timings) > 0:
timings = sorted(request.timings, key=lambda v: v['total'])
@ -852,29 +850,25 @@ def preferences():
allowed_plugins = request.preferences.plugins.get_enabled()
# stats for preferences page
stats = {}
filtered_engines = dict(filter(lambda kv: (kv[0], request.preferences.validate_token(kv[1])), engines.items()))
engines_by_category = {}
for c in categories:
engines_by_category[c] = []
for e in categories[c]:
if not request.preferences.validate_token(e):
continue
stats[e.name] = {'time': None,
'warn_timeout': False,
'warn_time': False}
if e.timeout > settings['outgoing']['request_timeout']:
stats[e.name]['warn_timeout'] = True
stats[e.name]['supports_selected_language'] = _is_selected_language_supported(e, request.preferences)
engines_by_category[c].append(e)
engines_by_category[c] = [e for e in categories[c] if e.name in filtered_engines]
# get first element [0], the engine time,
# and then the second element [1] : the time (the first one is the label)
for engine_stat in get_engines_stats(request.preferences)[0][1]:
stats[engine_stat.get('name')]['time'] = round(engine_stat.get('avg'), 3)
if engine_stat.get('avg') > settings['outgoing']['request_timeout']:
stats[engine_stat.get('name')]['warn_time'] = True
stats = {}
for _, e in filtered_engines.items():
h = histogram('engine', e.name, 'time', 'total')
median = round(h.percentage(50), 1) if h.count > 0 else None
stats[e.name] = {
'time': median if median else None,
'warn_time': median is not None and median > settings['outgoing']['request_timeout'],
'warn_timeout': e.timeout > settings['outgoing']['request_timeout'],
'supports_selected_language': _is_selected_language_supported(e, request.preferences)
}
# end of stats
locked_preferences = list()
@ -976,38 +970,23 @@ def image_proxy():
@app.route('/stats', methods=['GET'])
def stats():
"""Render engine statistics page."""
stats = get_engines_stats(request.preferences)
filtered_engines = dict(filter(lambda kv: (kv[0], request.preferences.validate_token(kv[1])), engines.items()))
engine_stats = get_engines_stats(filtered_engines)
return render(
'stats.html',
stats=stats,
stats=[(gettext('Engine time (sec)'), engine_stats['time_total']),
(gettext('Page loads (sec)'), engine_stats['time_http']),
(gettext('Number of results'), engine_stats['result_count']),
(gettext('Scores'), engine_stats['scores']),
(gettext('Scores per result'), engine_stats['scores_per_result']),
(gettext('Errors'), engine_stats['error_count'])]
)
@app.route('/stats/errors', methods=['GET'])
def stats_errors():
result = {}
engine_names = list(errors_per_engines.keys())
engine_names.sort()
for engine_name in engine_names:
error_stats = errors_per_engines[engine_name]
sent_search_count = max(engines[engine_name].stats['sent_search_count'], 1)
sorted_context_count_list = sorted(error_stats.items(), key=lambda context_count: context_count[1])
r = []
percentage_sum = 0
for context, count in sorted_context_count_list:
percentage = round(20 * count / sent_search_count) * 5
percentage_sum += percentage
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,
'percentage': percentage,
})
result[engine_name] = sorted(r, reverse=True, key=lambda d: d['percentage'])
filtered_engines = dict(filter(lambda kv: (kv[0], request.preferences.validate_token(kv[1])), engines.items()))
result = get_engine_errors(filtered_engines)
return jsonify(result)