blob: 446a1bc5cfb839b4d7f5840a7a07ba9d486f6959 [file] [log] [blame]
#!/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 argparse
import json
import logging
import os
import re
import sys
from statistics import mean
from typing import Dict, Any, Optional, List
from testenv import Env, Httpd, Nghttpx, CurlClient, Caddy, ExecResult, NghttpxQuic, RunProfile
log = logging.getLogger(__name__)
class ScoreCardException(Exception):
pass
class ScoreCard:
def __init__(self, env: Env,
httpd: Optional[Httpd],
nghttpx: Optional[Nghttpx],
caddy: Optional[Caddy],
verbose: int,
curl_verbose: int):
self.verbose = verbose
self.env = env
self.httpd = httpd
self.nghttpx = nghttpx
self.caddy = caddy
self._silent_curl = not curl_verbose
def info(self, msg):
if self.verbose > 0:
sys.stderr.write(msg)
sys.stderr.flush()
def handshakes(self, proto: str) -> Dict[str, Any]:
props = {}
sample_size = 5
self.info(f'TLS Handshake\n')
for authority in [
'curl.se', 'google.com', 'cloudflare.com', 'nghttp2.org'
]:
self.info(f' {authority}...')
props[authority] = {}
for ipv in ['ipv4', 'ipv6']:
self.info(f'{ipv}...')
c_samples = []
hs_samples = []
errors = []
for i in range(sample_size):
curl = CurlClient(env=self.env, silent=self._silent_curl)
args = [
'--http3-only' if proto == 'h3' else '--http2',
f'--{ipv}', f'https://{authority}/'
]
r = curl.run_direct(args=args, with_stats=True)
if r.exit_code == 0 and len(r.stats) == 1:
c_samples.append(r.stats[0]['time_connect'])
hs_samples.append(r.stats[0]['time_appconnect'])
else:
errors.append(f'exit={r.exit_code}')
props[authority][f'{ipv}-connect'] = mean(c_samples) \
if len(c_samples) else -1
props[authority][f'{ipv}-handshake'] = mean(hs_samples) \
if len(hs_samples) else -1
props[authority][f'{ipv}-errors'] = errors
self.info('ok.\n')
return props
def _make_docs_file(self, docs_dir: str, fname: str, fsize: int):
fpath = os.path.join(docs_dir, fname)
data1k = 1024*'x'
flen = 0
with open(fpath, 'w') as fd:
while flen < fsize:
fd.write(data1k)
flen += len(data1k)
return flen
def _check_downloads(self, r: ExecResult, count: int):
error = ''
if r.exit_code != 0:
error += f'exit={r.exit_code} '
if r.exit_code != 0 or len(r.stats) != count:
error += f'stats={len(r.stats)}/{count} '
fails = [s for s in r.stats if s['response_code'] != 200]
if len(fails) > 0:
error += f'{len(fails)} failed'
return error if len(error) > 0 else None
def transfer_single(self, url: str, proto: str, count: int):
sample_size = count
count = 1
samples = []
errors = []
profiles = []
self.info(f'single...')
for i in range(sample_size):
curl = CurlClient(env=self.env, silent=self._silent_curl)
r = curl.http_download(urls=[url], alpn_proto=proto, no_save=True,
with_headers=False, with_profile=True)
err = self._check_downloads(r, count)
if err:
errors.append(err)
else:
total_size = sum([s['size_download'] for s in r.stats])
samples.append(total_size / r.duration.total_seconds())
profiles.append(r.profile)
return {
'count': count,
'samples': sample_size,
'speed': mean(samples) if len(samples) else -1,
'errors': errors,
'stats': RunProfile.AverageStats(profiles),
}
def transfer_serial(self, url: str, proto: str, count: int):
sample_size = 1
samples = []
errors = []
profiles = []
url = f'{url}?[0-{count - 1}]'
self.info(f'serial...')
for i in range(sample_size):
curl = CurlClient(env=self.env, silent=self._silent_curl)
r = curl.http_download(urls=[url], alpn_proto=proto, no_save=True,
with_headers=False, with_profile=True)
err = self._check_downloads(r, count)
if err:
errors.append(err)
else:
total_size = sum([s['size_download'] for s in r.stats])
samples.append(total_size / r.duration.total_seconds())
profiles.append(r.profile)
return {
'count': count,
'samples': sample_size,
'speed': mean(samples) if len(samples) else -1,
'errors': errors,
'stats': RunProfile.AverageStats(profiles),
}
def transfer_parallel(self, url: str, proto: str, count: int):
sample_size = 1
samples = []
errors = []
profiles = []
url = f'{url}?[0-{count - 1}]'
self.info(f'parallel...')
for i in range(sample_size):
curl = CurlClient(env=self.env, silent=self._silent_curl)
r = curl.http_download(urls=[url], alpn_proto=proto, no_save=True,
with_headers=False,
with_profile=True,
extra_args=['--parallel',
'--parallel-max', str(count)])
err = self._check_downloads(r, count)
if err:
errors.append(err)
else:
total_size = sum([s['size_download'] for s in r.stats])
samples.append(total_size / r.duration.total_seconds())
profiles.append(r.profile)
return {
'count': count,
'samples': sample_size,
'speed': mean(samples) if len(samples) else -1,
'errors': errors,
'stats': RunProfile.AverageStats(profiles),
}
def download_url(self, label: str, url: str, proto: str, count: int):
self.info(f' {count}x{label}: ')
props = {
'single': self.transfer_single(url=url, proto=proto, count=10),
}
if count > 1:
props['serial'] = self.transfer_serial(url=url, proto=proto,
count=count)
props['parallel'] = self.transfer_parallel(url=url, proto=proto,
count=count)
self.info(f'ok.\n')
return props
def downloads(self, proto: str, count: int,
fsizes: List[int]) -> Dict[str, Any]:
scores = {}
if self.httpd:
if proto == 'h3':
port = self.env.h3_port
via = 'nghttpx'
descr = f'port {port}, proxying httpd'
else:
port = self.env.https_port
via = 'httpd'
descr = f'port {port}'
self.info(f'{via} downloads\n')
scores[via] = {
'description': descr,
}
for fsize in fsizes:
label = self.fmt_size(fsize)
fname = f'score{label}.data'
self._make_docs_file(docs_dir=self.httpd.docs_dir,
fname=fname, fsize=fsize)
url = f'https://{self.env.domain1}:{port}/{fname}'
results = self.download_url(label=label, url=url,
proto=proto, count=count)
scores[via][label] = results
if self.caddy:
port = self.caddy.port
via = 'caddy'
descr = f'port {port}'
self.info('caddy downloads\n')
scores[via] = {
'description': descr,
}
for fsize in fsizes:
label = self.fmt_size(fsize)
fname = f'score{label}.data'
self._make_docs_file(docs_dir=self.caddy.docs_dir,
fname=fname, fsize=fsize)
url = f'https://{self.env.domain1}:{port}/{fname}'
results = self.download_url(label=label, url=url,
proto=proto, count=count)
scores[via][label] = results
return scores
def do_requests(self, url: str, proto: str, count: int,
max_parallel: int = 1):
sample_size = 1
samples = []
errors = []
profiles = []
url = f'{url}?[0-{count - 1}]'
extra_args = ['--parallel', '--parallel-max', str(max_parallel)] \
if max_parallel > 1 else []
self.info(f'{max_parallel}...')
for i in range(sample_size):
curl = CurlClient(env=self.env, silent=self._silent_curl)
r = curl.http_download(urls=[url], alpn_proto=proto, no_save=True,
with_headers=False, with_profile=True,
extra_args=extra_args)
err = self._check_downloads(r, count)
if err:
errors.append(err)
else:
for _ in r.stats:
samples.append(count / r.duration.total_seconds())
profiles.append(r.profile)
return {
'count': count,
'samples': sample_size,
'speed': mean(samples) if len(samples) else -1,
'errors': errors,
'stats': RunProfile.AverageStats(profiles),
}
def requests_url(self, url: str, proto: str, count: int):
self.info(f' {url}: ')
props = {
'1': self.do_requests(url=url, proto=proto, count=count),
'6': self.do_requests(url=url, proto=proto, count=count,
max_parallel=6),
'25': self.do_requests(url=url, proto=proto, count=count,
max_parallel=25),
'50': self.do_requests(url=url, proto=proto, count=count,
max_parallel=50),
'100': self.do_requests(url=url, proto=proto, count=count,
max_parallel=100),
}
self.info(f'ok.\n')
return props
def requests(self, proto: str, req_count) -> Dict[str, Any]:
scores = {}
if self.httpd:
if proto == 'h3':
port = self.env.h3_port
via = 'nghttpx'
descr = f'port {port}, proxying httpd'
else:
port = self.env.https_port
via = 'httpd'
descr = f'port {port}'
self.info(f'{via} requests\n')
self._make_docs_file(docs_dir=self.httpd.docs_dir,
fname='reqs10.data', fsize=10*1024)
url1 = f'https://{self.env.domain1}:{port}/reqs10.data'
scores[via] = {
'description': descr,
'count': req_count,
'10KB': self.requests_url(url=url1, proto=proto, count=req_count),
}
if self.caddy:
port = self.caddy.port
via = 'caddy'
descr = f'port {port}'
self.info('caddy requests\n')
self._make_docs_file(docs_dir=self.caddy.docs_dir,
fname='req10.data', fsize=10 * 1024)
url1 = f'https://{self.env.domain1}:{port}/req10.data'
scores[via] = {
'description': descr,
'count': req_count,
'10KB': self.requests_url(url=url1, proto=proto, count=req_count),
}
return scores
def score_proto(self, proto: str,
handshakes: bool = True,
downloads: Optional[List[int]] = None,
download_count: int = 50,
req_count=5000,
requests: bool = True):
self.info(f"scoring {proto}\n")
p = {}
if proto == 'h3':
p['name'] = 'h3'
if not self.env.have_h3_curl():
raise ScoreCardException('curl does not support HTTP/3')
for lib in ['ngtcp2', 'quiche', 'msh3', 'nghttp3']:
if self.env.curl_uses_lib(lib):
p['implementation'] = lib
break
elif proto == 'h2':
p['name'] = 'h2'
if not self.env.have_h2_curl():
raise ScoreCardException('curl does not support HTTP/2')
for lib in ['nghttp2', 'hyper']:
if self.env.curl_uses_lib(lib):
p['implementation'] = lib
break
elif proto == 'h1' or proto == 'http/1.1':
proto = 'http/1.1'
p['name'] = proto
p['implementation'] = 'hyper' if self.env.curl_uses_lib('hyper')\
else 'native'
else:
raise ScoreCardException(f"unknown protocol: {proto}")
if 'implementation' not in p:
raise ScoreCardException(f'did not recognized {p} lib')
p['version'] = Env.curl_lib_version(p['implementation'])
score = {
'curl': self.env.curl_fullname(),
'os': self.env.curl_os(),
'protocol': p,
}
if handshakes:
score['handshakes'] = self.handshakes(proto=proto)
if downloads and len(downloads) > 0:
score['downloads'] = self.downloads(proto=proto,
count=download_count,
fsizes=downloads)
if requests:
score['requests'] = self.requests(proto=proto, req_count=req_count)
self.info("\n")
return score
def fmt_ms(self, tval):
return f'{int(tval*1000)} ms' if tval >= 0 else '--'
def fmt_size(self, val):
if val >= (1024*1024*1024):
return f'{val / (1024*1024*1024):0.000f}GB'
elif val >= (1024 * 1024):
return f'{val / (1024*1024):0.000f}MB'
elif val >= 1024:
return f'{val / 1024:0.000f}KB'
else:
return f'{val:0.000f}B'
def fmt_mbs(self, val):
return f'{val/(1024*1024):0.000f} MB/s' if val >= 0 else '--'
def fmt_reqs(self, val):
return f'{val:0.000f} r/s' if val >= 0 else '--'
def print_score(self, score):
print(f'{score["protocol"]["name"].upper()} in {score["curl"]}')
if 'handshakes' in score:
print(f'{"Handshakes":<24} {"ipv4":25} {"ipv6":28}')
print(f' {"Host":<17} {"Connect":>12} {"Handshake":>12} '
f'{"Connect":>12} {"Handshake":>12} {"Errors":<20}')
for key, val in score["handshakes"].items():
print(f' {key:<17} {self.fmt_ms(val["ipv4-connect"]):>12} '
f'{self.fmt_ms(val["ipv4-handshake"]):>12} '
f'{self.fmt_ms(val["ipv6-connect"]):>12} '
f'{self.fmt_ms(val["ipv6-handshake"]):>12} '
f'{"/".join(val["ipv4-errors"] + val["ipv6-errors"]):<20}'
)
if 'downloads' in score:
# get the key names of all sizes and measurements made
sizes = []
measures = []
m_names = {}
mcol_width = 12
mcol_sw = 17
for server, server_score in score['downloads'].items():
for sskey, ssval in server_score.items():
if isinstance(ssval, str):
continue
if sskey not in sizes:
sizes.append(sskey)
for mkey, mval in server_score[sskey].items():
if mkey not in measures:
measures.append(mkey)
m_names[mkey] = f'{mkey}({mval["count"]}x)'
print('Downloads')
print(f' {"Server":<8} {"Size":>8}', end='')
for m in measures: print(f' {m_names[m]:>{mcol_width}} {"[cpu/rss]":<{mcol_sw}}', end='')
print(f' {"Errors":^20}')
for server in score['downloads']:
for size in sizes:
size_score = score['downloads'][server][size]
print(f' {server:<8} {size:>8}', end='')
errors = []
for key, val in size_score.items():
if 'errors' in val:
errors.extend(val['errors'])
for m in measures:
if m in size_score:
print(f' {self.fmt_mbs(size_score[m]["speed"]):>{mcol_width}}', end='')
s = f'[{size_score[m]["stats"]["cpu"]:>.1f}%'\
f'/{self.fmt_size(size_score[m]["stats"]["rss"])}]'
print(f' {s:<{mcol_sw}}', end='')
else:
print(' '*mcol_width, end='')
if len(errors):
print(f' {"/".join(errors):<20}')
else:
print(f' {"-":^20}')
if 'requests' in score:
sizes = []
measures = []
m_names = {}
mcol_width = 9
mcol_sw = 13
for server in score['requests']:
server_score = score['requests'][server]
for sskey, ssval in server_score.items():
if isinstance(ssval, str) or isinstance(ssval, int):
continue
if sskey not in sizes:
sizes.append(sskey)
for mkey, mval in server_score[sskey].items():
if mkey not in measures:
measures.append(mkey)
m_names[mkey] = f'{mkey}'
print('Requests, max in parallel')
print(f' {"Server":<8} {"Size":>6} {"Reqs":>6}', end='')
for m in measures: print(f' {m_names[m]:>{mcol_width}} {"[cpu/rss]":<{mcol_sw}}', end='')
print(f' {"Errors":^10}')
for server in score['requests']:
for size in sizes:
size_score = score['requests'][server][size]
count = score['requests'][server]['count']
print(f' {server:<8} {size:>6} {count:>6}', end='')
errors = []
for key, val in size_score.items():
if 'errors' in val:
errors.extend(val['errors'])
for m in measures:
if m in size_score:
print(f' {self.fmt_reqs(size_score[m]["speed"]):>{mcol_width}}', end='')
s = f'[{size_score[m]["stats"]["cpu"]:>.1f}%'\
f'/{self.fmt_size(size_score[m]["stats"]["rss"])}]'
print(f' {s:<{mcol_sw}}', end='')
else:
print(' '*mcol_width, end='')
if len(errors):
print(f' {"/".join(errors):<10}')
else:
print(f' {"-":^10}')
def parse_size(s):
m = re.match(r'(\d+)(mb|kb|gb)?', s, re.IGNORECASE)
if m is None:
raise Exception(f'unrecognized size: {s}')
size = int(m.group(1))
if not m.group(2):
pass
elif m.group(2).lower() == 'kb':
size *= 1024
elif m.group(2).lower() == 'mb':
size *= 1024 * 1024
elif m.group(2).lower() == 'gb':
size *= 1024 * 1024 * 1024
return size
def main():
parser = argparse.ArgumentParser(prog='scorecard', description="""
Run a range of tests to give a scorecard for a HTTP protocol
'h3' or 'h2' implementation in curl.
""")
parser.add_argument("-v", "--verbose", action='count', default=1,
help="log more output on stderr")
parser.add_argument("-j", "--json", action='store_true',
default=False, help="print json instead of text")
parser.add_argument("-H", "--handshakes", action='store_true',
default=False, help="evaluate handshakes only")
parser.add_argument("-d", "--downloads", action='store_true',
default=False, help="evaluate downloads")
parser.add_argument("--download", action='append', type=str,
default=None, help="evaluate download size")
parser.add_argument("--download-count", action='store', type=int,
default=50, help="perform that many downloads")
parser.add_argument("-r", "--requests", action='store_true',
default=False, help="evaluate requests")
parser.add_argument("--request-count", action='store', type=int,
default=5000, help="perform that many requests")
parser.add_argument("--httpd", action='store_true', default=False,
help="evaluate httpd server only")
parser.add_argument("--caddy", action='store_true', default=False,
help="evaluate caddy server only")
parser.add_argument("--curl-verbose", action='store_true',
default=False, help="run curl with `-v`")
parser.add_argument("protocol", default='h2', nargs='?',
help="Name of protocol to score")
args = parser.parse_args()
if args.verbose > 0:
console = logging.StreamHandler()
console.setLevel(logging.INFO)
console.setFormatter(logging.Formatter(logging.BASIC_FORMAT))
logging.getLogger('').addHandler(console)
protocol = args.protocol
handshakes = True
downloads = [1024 * 1024, 10 * 1024 * 1024, 100 * 1024 * 1024]
if args.download is not None:
downloads = []
for x in args.download:
downloads.extend([parse_size(s) for s in x.split(',')])
requests = True
if args.downloads or args.requests or args.handshakes:
handshakes = args.handshakes
if not args.downloads:
downloads = None
requests = args.requests
test_httpd = protocol != 'h3'
test_caddy = True
if args.caddy or args.httpd:
test_caddy = args.caddy
test_httpd = args.httpd
rv = 0
env = Env()
env.setup()
env.test_timeout = None
httpd = None
nghttpx = None
caddy = None
try:
if test_httpd:
httpd = Httpd(env=env)
assert httpd.exists(), \
f'httpd not found: {env.httpd}'
httpd.clear_logs()
assert httpd.start()
if 'h3' == protocol:
nghttpx = NghttpxQuic(env=env)
nghttpx.clear_logs()
assert nghttpx.start()
if test_caddy and env.caddy:
caddy = Caddy(env=env)
caddy.clear_logs()
assert caddy.start()
card = ScoreCard(env=env, httpd=httpd, nghttpx=nghttpx, caddy=caddy,
verbose=args.verbose, curl_verbose=args.curl_verbose)
score = card.score_proto(proto=protocol,
handshakes=handshakes,
downloads=downloads,
download_count=args.download_count,
req_count=args.request_count,
requests=requests)
if args.json:
print(json.JSONEncoder(indent=2).encode(score))
else:
card.print_score(score)
except ScoreCardException as ex:
sys.stderr.write(f"ERROR: {str(ex)}\n")
rv = 1
except KeyboardInterrupt:
log.warning("aborted")
rv = 1
finally:
if caddy:
caddy.stop()
if nghttpx:
nghttpx.stop(wait_dead=False)
if httpd:
httpd.stop()
sys.exit(rv)
if __name__ == "__main__":
main()