mirror of
https://github.com/curl/curl.git
synced 2024-12-15 06:40:09 +08:00
3b30cc1a0d
- set CURL_CI for pytest runs in CI environments - exclude timing sensitive tests from CI runs - for failed results, list only the log and stat of the failed transfer - fix type in http.c comment Closes #11812
146 lines
6.5 KiB
Python
146 lines
6.5 KiB
Python
#!/usr/bin/env python3
|
|
# -*- coding: utf-8 -*-
|
|
#***************************************************************************
|
|
# _ _ ____ _
|
|
# Project ___| | | | _ \| |
|
|
# / __| | | | |_) | |
|
|
# | (__| |_| | _ <| |___
|
|
# \___|\___/|_| \_\_____|
|
|
#
|
|
# Copyright (C) Daniel Stenberg, <daniel@haxx.se>, et al.
|
|
#
|
|
# This software is licensed as described in the file COPYING, which
|
|
# you should have received as part of this distribution. The terms
|
|
# are also available at https://curl.se/docs/copyright.html.
|
|
#
|
|
# You may opt to use, copy, modify, merge, publish, distribute and/or sell
|
|
# copies of the Software, and permit persons to whom the Software is
|
|
# furnished to do so, under the terms of the COPYING file.
|
|
#
|
|
# This software is distributed on an "AS IS" basis, WITHOUT WARRANTY OF ANY
|
|
# KIND, either express or implied.
|
|
#
|
|
# SPDX-License-Identifier: curl
|
|
#
|
|
###########################################################################
|
|
#
|
|
import logging
|
|
import os
|
|
from typing import Tuple, List, Dict
|
|
import pytest
|
|
|
|
from testenv import Env, CurlClient
|
|
|
|
|
|
log = logging.getLogger(__name__)
|
|
|
|
|
|
@pytest.mark.skipif(condition=Env().slow_network, reason="not suitable for slow network tests")
|
|
@pytest.mark.skipif(condition=Env().ci_run, reason="not suitable for CI runs")
|
|
class TestStuttered:
|
|
|
|
@pytest.fixture(autouse=True, scope='class')
|
|
def _class_scope(self, env, httpd, nghttpx):
|
|
if env.have_h3():
|
|
nghttpx.start_if_needed()
|
|
httpd.clear_extra_configs()
|
|
httpd.reload()
|
|
|
|
# download 1 file, check that delayed response works in general
|
|
@pytest.mark.parametrize("proto", ['http/1.1', 'h2', 'h3'])
|
|
def test_04_01_download_1(self, env: Env, httpd, nghttpx, repeat,
|
|
proto):
|
|
if proto == 'h3' and not env.have_h3():
|
|
pytest.skip("h3 not supported")
|
|
count = 1
|
|
curl = CurlClient(env=env)
|
|
urln = f'https://{env.authority_for(env.domain1, proto)}' \
|
|
f'/curltest/tweak?id=[0-{count - 1}]'\
|
|
'&chunks=100&chunk_size=100&chunk_delay=10ms'
|
|
r = curl.http_download(urls=[urln], alpn_proto=proto)
|
|
r.check_response(count=1, http_status=200)
|
|
|
|
# download 50 files in 100 chunks a 100 bytes with 10ms delay between
|
|
# prepend 100 file requests to warm up connection processing limits
|
|
# (Apache2 increases # of parallel processed requests after successes)
|
|
@pytest.mark.parametrize("proto", ['h2', 'h3'])
|
|
def test_04_02_100_100_10(self, env: Env,
|
|
httpd, nghttpx, repeat, proto):
|
|
if proto == 'h3' and not env.have_h3():
|
|
pytest.skip("h3 not supported")
|
|
count = 50
|
|
warmups = 100
|
|
curl = CurlClient(env=env)
|
|
url1 = f'https://{env.authority_for(env.domain1, proto)}/data.json?[0-{warmups-1}]'
|
|
urln = f'https://{env.authority_for(env.domain1, proto)}' \
|
|
f'/curltest/tweak?id=[0-{count-1}]'\
|
|
'&chunks=100&chunk_size=100&chunk_delay=10ms'
|
|
r = curl.http_download(urls=[url1, urln], alpn_proto=proto,
|
|
extra_args=['--parallel'])
|
|
r.check_response(count=warmups+count, http_status=200)
|
|
assert r.total_connects == 1
|
|
t_avg, i_min, t_min, i_max, t_max = self.stats_spread(r.stats[warmups:], 'time_total')
|
|
if t_max < (5 * t_min) and t_min < 2:
|
|
log.warning(f'avg time of transfer: {t_avg} [{i_min}={t_min}, {i_max}={t_max}]')
|
|
|
|
# download 50 files in 1000 chunks a 10 bytes with 1ms delay between
|
|
# prepend 100 file requests to warm up connection processing limits
|
|
# (Apache2 increases # of parallel processed requests after successes)
|
|
@pytest.mark.parametrize("proto", ['h2', 'h3'])
|
|
def test_04_03_1000_10_1(self, env: Env, httpd, nghttpx, repeat, proto):
|
|
if proto == 'h3' and not env.have_h3():
|
|
pytest.skip("h3 not supported")
|
|
count = 50
|
|
warmups = 100
|
|
curl = CurlClient(env=env)
|
|
url1 = f'https://{env.authority_for(env.domain1, proto)}/data.json?[0-{warmups-1}]'
|
|
urln = f'https://{env.authority_for(env.domain1, proto)}' \
|
|
f'/curltest/tweak?id=[0-{count - 1}]'\
|
|
'&chunks=1000&chunk_size=10&chunk_delay=100us'
|
|
r = curl.http_download(urls=[url1, urln], alpn_proto=proto,
|
|
extra_args=['--parallel'])
|
|
r.check_response(count=warmups+count, http_status=200)
|
|
assert r.total_connects == 1
|
|
t_avg, i_min, t_min, i_max, t_max = self.stats_spread(r.stats[warmups:], 'time_total')
|
|
if t_max < (5 * t_min):
|
|
log.warning(f'avg time of transfer: {t_avg} [{i_min}={t_min}, {i_max}={t_max}]')
|
|
|
|
# download 50 files in 10000 chunks a 1 byte with 10us delay between
|
|
# prepend 100 file requests to warm up connection processing limits
|
|
# (Apache2 increases # of parallel processed requests after successes)
|
|
@pytest.mark.parametrize("proto", ['h2', 'h3'])
|
|
def test_04_04_1000_10_1(self, env: Env, httpd, nghttpx, repeat, proto):
|
|
if proto == 'h3' and not env.have_h3():
|
|
pytest.skip("h3 not supported")
|
|
count = 50
|
|
warmups = 100
|
|
curl = CurlClient(env=env)
|
|
url1 = f'https://{env.authority_for(env.domain1, proto)}/data.json?[0-{warmups-1}]'
|
|
urln = f'https://{env.authority_for(env.domain1, proto)}' \
|
|
f'/curltest/tweak?id=[0-{count - 1}]'\
|
|
'&chunks=10000&chunk_size=1&chunk_delay=50us'
|
|
r = curl.http_download(urls=[url1, urln], alpn_proto=proto,
|
|
extra_args=['--parallel'])
|
|
r.check_response(count=warmups+count, http_status=200)
|
|
assert r.total_connects == 1
|
|
t_avg, i_min, t_min, i_max, t_max = self.stats_spread(r.stats[warmups:], 'time_total')
|
|
if t_max < (5 * t_min):
|
|
log.warning(f'avg time of transfer: {t_avg} [{i_min}={t_min}, {i_max}={t_max}]')
|
|
|
|
def stats_spread(self, stats: List[Dict], key: str) -> Tuple[float, int, float, int, float]:
|
|
stotals = 0.0
|
|
s_min = 100.0
|
|
i_min = -1
|
|
s_max = 0.0
|
|
i_max = -1
|
|
for idx, s in enumerate(stats):
|
|
val = float(s[key])
|
|
stotals += val
|
|
if val > s_max:
|
|
s_max = val
|
|
i_max = idx
|
|
if val < s_min:
|
|
s_min = val
|
|
i_min = idx
|
|
return stotals/len(stats), i_min, s_min, i_max, s_max
|