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import asyncio
import os
import sys
import time
from concurrent.futures import ThreadPoolExecutor
from contextlib import contextmanager
from typing import Any, Callable, Coroutine, Iterator, List
import aiohttp
import matplotlib.pyplot as plt # type: ignore[import-untyped]
import pyinstrument
import urllib3
from matplotlib.axes import Axes # type: ignore[import-untyped]
import httpcore
PORT = 1234
URL = f"http://localhost:{PORT}/req"
REPEATS = 10
REQUESTS = 500
CONCURRENCY = 20
POOL_LIMIT = 100
PROFILE = False
os.environ["HTTPCORE_PREFER_ANYIO"] = "0"
def duration(start: float) -> int:
return int((time.monotonic() - start) * 1000)
@contextmanager
def profile():
if not PROFILE:
yield
return
with pyinstrument.Profiler() as profiler:
yield
profiler.open_in_browser()
async def run_async_requests(axis: Axes) -> None:
async def gather_limited_concurrency(
coros: Iterator[Coroutine[Any, Any, Any]], concurrency: int = CONCURRENCY
) -> None:
sem = asyncio.Semaphore(concurrency)
async def coro_with_sem(coro: Coroutine[Any, Any, Any]) -> None:
async with sem:
await coro
await asyncio.gather(*(coro_with_sem(c) for c in coros))
async def httpcore_get(
pool: httpcore.AsyncConnectionPool, timings: List[int]
) -> None:
start = time.monotonic()
res = await pool.request("GET", URL)
assert len(await res.aread()) == 2000
assert res.status == 200, f"status_code={res.status}"
timings.append(duration(start))
async def aiohttp_get(session: aiohttp.ClientSession, timings: List[int]) -> None:
start = time.monotonic()
async with session.request("GET", URL) as res:
assert len(await res.read()) == 2000
assert res.status == 200, f"status={res.status}"
timings.append(duration(start))
async with httpcore.AsyncConnectionPool(max_connections=POOL_LIMIT) as pool:
# warmup
await gather_limited_concurrency(
(httpcore_get(pool, []) for _ in range(REQUESTS)), CONCURRENCY * 2
)
timings: List[int] = []
start = time.monotonic()
with profile():
for _ in range(REPEATS):
await gather_limited_concurrency(
(httpcore_get(pool, timings) for _ in range(REQUESTS))
)
axis.plot(
[*range(len(timings))], timings, label=f"httpcore (tot={duration(start)}ms)"
)
connector = aiohttp.TCPConnector(limit=POOL_LIMIT)
async with aiohttp.ClientSession(connector=connector) as session:
# warmup
await gather_limited_concurrency(
(aiohttp_get(session, []) for _ in range(REQUESTS)), CONCURRENCY * 2
)
timings = []
start = time.monotonic()
for _ in range(REPEATS):
await gather_limited_concurrency(
(aiohttp_get(session, timings) for _ in range(REQUESTS))
)
axis.plot(
[*range(len(timings))], timings, label=f"aiohttp (tot={duration(start)}ms)"
)
def run_sync_requests(axis: Axes) -> None:
def run_in_executor(
fns: Iterator[Callable[[], None]], executor: ThreadPoolExecutor
) -> None:
futures = [executor.submit(fn) for fn in fns]
for future in futures:
future.result()
def httpcore_get(pool: httpcore.ConnectionPool, timings: List[int]) -> None:
start = time.monotonic()
res = pool.request("GET", URL)
assert len(res.read()) == 2000
assert res.status == 200, f"status_code={res.status}"
timings.append(duration(start))
def urllib3_get(pool: urllib3.HTTPConnectionPool, timings: List[int]) -> None:
start = time.monotonic()
res = pool.request("GET", "/req")
assert len(res.data) == 2000
assert res.status == 200, f"status={res.status}"
timings.append(duration(start))
with httpcore.ConnectionPool(max_connections=POOL_LIMIT) as pool:
# warmup
with ThreadPoolExecutor(max_workers=CONCURRENCY * 2) as exec:
run_in_executor(
(lambda: httpcore_get(pool, []) for _ in range(REQUESTS)),
exec,
)
timings: List[int] = []
exec = ThreadPoolExecutor(max_workers=CONCURRENCY)
start = time.monotonic()
with profile():
for _ in range(REPEATS):
run_in_executor(
(lambda: httpcore_get(pool, timings) for _ in range(REQUESTS)), exec
)
exec.shutdown(wait=True)
axis.plot(
[*range(len(timings))], timings, label=f"httpcore (tot={duration(start)}ms)"
)
with urllib3.HTTPConnectionPool(
"localhost", PORT, maxsize=POOL_LIMIT
) as urllib3_pool:
# warmup
with ThreadPoolExecutor(max_workers=CONCURRENCY * 2) as exec:
run_in_executor(
(lambda: urllib3_get(urllib3_pool, []) for _ in range(REQUESTS)),
exec,
)
timings = []
exec = ThreadPoolExecutor(max_workers=CONCURRENCY)
start = time.monotonic()
for _ in range(REPEATS):
run_in_executor(
(lambda: urllib3_get(urllib3_pool, timings) for _ in range(REQUESTS)),
exec,
)
exec.shutdown(wait=True)
axis.plot(
[*range(len(timings))], timings, label=f"urllib3 (tot={duration(start)}ms)"
)
def main() -> None:
mode = sys.argv[1] if len(sys.argv) == 2 else None
assert mode in ("async", "sync"), "Usage: python client.py <async|sync>"
fig, ax = plt.subplots()
if mode == "async":
asyncio.run(run_async_requests(ax))
else:
run_sync_requests(ax)
plt.legend(loc="upper left")
ax.set_xlabel("# request")
ax.set_ylabel("[ms]")
plt.show()
print("DONE", flush=True)
if __name__ == "__main__":
main()
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