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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
166 lines
7.3 KiB
Python
166 lines
7.3 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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#***************************************************************************
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# _ _ ____ _
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# Project ___| | | | _ \| |
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# / __| | | | |_) | |
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# | (__| |_| | _ <| |___
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# \___|\___/|_| \_\_____|
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#
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# Copyright (C) Daniel Stenberg, <daniel@haxx.se>, et al.
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#
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# This software is licensed as described in the file COPYING, which
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# you should have received as part of this distribution. The terms
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# are also available at https://curl.se/docs/copyright.html.
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#
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# You may opt to use, copy, modify, merge, publish, distribute and/or sell
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# copies of the Software, and permit persons to whom the Software is
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# furnished to do so, under the terms of the COPYING file.
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#
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# This software is distributed on an "AS IS" basis, WITHOUT WARRANTY OF ANY
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# KIND, either express or implied.
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#
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# SPDX-License-Identifier: curl
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#
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###########################################################################
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#
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import logging
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import os
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import pytest
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from testenv import Env, CurlClient, Caddy
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log = logging.getLogger(__name__)
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@pytest.mark.skipif(condition=not Env.has_caddy(), reason=f"missing caddy")
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@pytest.mark.skipif(condition=not Env.have_ssl_curl(), reason=f"curl without SSL")
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class TestCaddy:
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@pytest.fixture(autouse=True, scope='class')
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def caddy(self, env):
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caddy = Caddy(env=env)
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assert caddy.start()
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yield caddy
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caddy.stop()
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def _make_docs_file(self, docs_dir: str, fname: str, fsize: int):
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fpath = os.path.join(docs_dir, fname)
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data1k = 1024*'x'
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flen = 0
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with open(fpath, 'w') as fd:
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while flen < fsize:
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fd.write(data1k)
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flen += len(data1k)
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return flen
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@pytest.fixture(autouse=True, scope='class')
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def _class_scope(self, env, caddy):
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self._make_docs_file(docs_dir=caddy.docs_dir, fname='data1.data', fsize=1024*1024)
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self._make_docs_file(docs_dir=caddy.docs_dir, fname='data5.data', fsize=5*1024*1024)
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self._make_docs_file(docs_dir=caddy.docs_dir, fname='data10.data', fsize=10*1024*1024)
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self._make_docs_file(docs_dir=caddy.docs_dir, fname='data100.data', fsize=100*1024*1024)
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# download 1 file
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@pytest.mark.parametrize("proto", ['http/1.1', 'h2', 'h3'])
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def test_08_01_download_1(self, env: Env, caddy: Caddy, repeat, proto):
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if proto == 'h3' and not env.have_h3_curl():
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pytest.skip("h3 not supported in curl")
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if proto == 'h3' and env.curl_uses_lib('msh3'):
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pytest.skip("msh3 itself crashes")
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curl = CurlClient(env=env)
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url = f'https://{env.domain1}:{caddy.port}/data.json'
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r = curl.http_download(urls=[url], alpn_proto=proto)
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r.check_response(count=1, http_status=200)
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# download 1MB files sequentially
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@pytest.mark.parametrize("proto", ['http/1.1', 'h2', 'h3'])
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def test_08_02_download_1mb_sequential(self, env: Env, caddy: Caddy,
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repeat, proto):
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if proto == 'h3' and not env.have_h3_curl():
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pytest.skip("h3 not supported in curl")
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if proto == 'h3' and env.curl_uses_lib('msh3'):
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pytest.skip("msh3 itself crashes")
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count = 50
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curl = CurlClient(env=env)
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urln = f'https://{env.domain1}:{caddy.port}/data1.data?[0-{count-1}]'
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r = curl.http_download(urls=[urln], alpn_proto=proto)
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r.check_response(count=count, http_status=200, connect_count=1)
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# download 1MB files parallel
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@pytest.mark.parametrize("proto", ['http/1.1', 'h2', 'h3'])
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def test_08_03_download_1mb_parallel(self, env: Env, caddy: Caddy,
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repeat, proto):
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if proto == 'h3' and not env.have_h3_curl():
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pytest.skip("h3 not supported in curl")
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if proto == 'h3' and env.curl_uses_lib('msh3'):
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pytest.skip("msh3 itself crashes")
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count = 20
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curl = CurlClient(env=env)
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urln = f'https://{env.domain1}:{caddy.port}/data1.data?[0-{count-1}]'
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r = curl.http_download(urls=[urln], alpn_proto=proto, extra_args=[
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'--parallel'
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])
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r.check_response(count=count, http_status=200)
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if proto == 'http/1.1':
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# http/1.1 parallel transfers will open multiple connections
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assert r.total_connects > 1, r.dump_logs()
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else:
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assert r.total_connects == 1, r.dump_logs()
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# download 5MB files sequentially
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@pytest.mark.skipif(condition=Env().slow_network, reason="not suitable for slow network tests")
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@pytest.mark.skipif(condition=Env().ci_run, reason="not suitable for CI runs")
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@pytest.mark.parametrize("proto", ['h2', 'h3'])
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def test_08_04a_download_10mb_sequential(self, env: Env, caddy: Caddy,
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repeat, proto):
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if proto == 'h3' and not env.have_h3_curl():
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pytest.skip("h3 not supported in curl")
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if proto == 'h3' and env.curl_uses_lib('msh3'):
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pytest.skip("msh3 itself crashes")
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count = 40
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curl = CurlClient(env=env)
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urln = f'https://{env.domain1}:{caddy.port}/data5.data?[0-{count-1}]'
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r = curl.http_download(urls=[urln], alpn_proto=proto)
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r.check_response(count=count, http_status=200, connect_count=1)
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# download 10MB files sequentially
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@pytest.mark.skipif(condition=Env().slow_network, reason="not suitable for slow network tests")
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@pytest.mark.skipif(condition=Env().ci_run, reason="not suitable for CI runs")
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@pytest.mark.parametrize("proto", ['h2', 'h3'])
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def test_08_04b_download_10mb_sequential(self, env: Env, caddy: Caddy,
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repeat, proto):
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if proto == 'h3' and not env.have_h3_curl():
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pytest.skip("h3 not supported in curl")
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if proto == 'h3' and env.curl_uses_lib('msh3'):
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pytest.skip("msh3 itself crashes")
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count = 20
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curl = CurlClient(env=env)
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urln = f'https://{env.domain1}:{caddy.port}/data10.data?[0-{count-1}]'
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r = curl.http_download(urls=[urln], alpn_proto=proto)
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r.check_response(count=count, http_status=200, connect_count=1)
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# download 10MB files parallel
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@pytest.mark.skipif(condition=Env().slow_network, reason="not suitable for slow network tests")
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@pytest.mark.parametrize("proto", ['http/1.1', 'h2', 'h3'])
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@pytest.mark.skipif(condition=Env().ci_run, reason="not suitable for CI runs")
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def test_08_05_download_1mb_parallel(self, env: Env, caddy: Caddy,
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repeat, proto):
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if proto == 'h3' and not env.have_h3_curl():
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pytest.skip("h3 not supported in curl")
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if proto == 'h3' and env.curl_uses_lib('msh3'):
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pytest.skip("msh3 itself crashes")
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count = 50
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curl = CurlClient(env=env)
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urln = f'https://{env.domain1}:{caddy.port}/data10.data?[0-{count-1}]'
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r = curl.http_download(urls=[urln], alpn_proto=proto, extra_args=[
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'--parallel'
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])
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r.check_response(count=count, http_status=200)
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if proto == 'http/1.1':
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# http/1.1 parallel transfers will open multiple connections
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assert r.total_connects > 1, r.dump_logs()
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else:
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assert r.total_connects == 1, r.dump_logs()
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