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Author SHA1 Message Date
ChuckandClaude Opus 5.5 8da7fc01d7 fix(espn): fetch a window's edge months whole, cap chunk requests per process
A soccer board with eight leagues logged ~90 NameResolutionErrors for
site.api.espn.com within a minute of every start on ledpi, plus
"update() timed out". ESPN rejects date ranges, so every league's
fortnight-either-side window became 29 day requests, several managers
fetched it at once, and each window got its own six chunk threads:
~450 requests per start with ~45 in flight, each request past a
session's pool a new connection and a new DNS lookup.

- fetch_espn_date_chunks() asks for a partial edge month whole once the
  window covers ESPN_MONTH_COVER_MIN_DAYS (7) of its days, and trims the
  answer to the window by each event's US Eastern start date, the day
  ESPN's dates=YYYYMMDD means (417/417 live soccer events matched). A
  29-day window over two months is 2 requests, not 29. A live poll's
  1-2 days stay day requests. A capped trimmed month re-asks only the
  window's days; an undatable event is kept. New espn_request_chunks().
- Chunk requests share one process-wide cap of ESPN_CHUNK_WORKERS in
  flight instead of six per window.
- A new process starts as if a range had just been rejected, so it no
  longer spends a doomed 400 per window at every start.

Live ESPN, soccer-scoreboard 2.39.2, alternating runs: ~450 -> 46
requests per start, peak ~45 -> 13 in flight, ~75 -> 30 DNS lookups.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-03 22:35:09 -04:00
5 changed files with 384 additions and 41 deletions
+23
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@@ -19,6 +19,29 @@ accepts both, but the store flags the old spelling as deprecated
## Unreleased
### ESPN date-range fetches: fewer requests, fewer at once
A soccer board (8 leagues, ESPN rejecting `dates=` ranges) logged ~90
`NameResolutionError` lines and an `update() timed out` at every start on a
Pi: each league's fortnight-either-side window was 29 day requests, fetched
by several managers at once, ~40 in flight. Measured against live ESPN with
soccer-scoreboard 2.39.2, alternating runs: **~450 requests per start, peak
~45 in flight, ~75 DNS lookups -> 46 requests, peak 13, ~30 lookups**.
- `fetch_espn_date_chunks()` asks for a window's partial edge month whole
when the window covers `ESPN_MONTH_COVER_MIN_DAYS` (7) or more of its days,
and trims the answer to the window's days by each event's US Eastern start
date -- the day ESPN's `dates=YYYYMMDD` means (417 of 417 live soccer
events matched). A 29-day window spanning two months is 2 requests instead
of 29. Short windows (a live poll's 1-2 days) stay day by day. A trimmed
month that comes back at the 500-event cap re-asks only the window's days.
An event with no readable date is kept. New: `espn_request_chunks()`.
- Chunk requests share one process-wide cap of `ESPN_CHUNK_WORKERS` (6) in
flight, across every window being fetched, instead of six per window.
- A new process starts as if a range had just been rejected, so it no longer
spends one doomed 400 per window at every start (eleven at once from a
soccer board); the range is still retried `RANGE_RETRY_SECONDS` in.
### Cheap per-frame and per-fetch savings
- `BaseOddsManager.get_odds()` no longer pretty-prints every odds response
+5 -2
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@@ -109,8 +109,11 @@ and the plugin test harness all use it. Most plugins get BDF text through
[`espn_dates.py`](espn_dates.py). ESPN's site API rejects `dates=` ranges
and truncates results when `limit` is above 500. `fetch_espn_scoreboard()`
splits a range into month and day requests ESPN accepts and merges the
results; `espn_date_chunks()`, `fetch_espn_date_chunks()`,
`clamp_espn_limit()` and `merge_scoreboard_payloads()` are the pieces.
results; `espn_date_chunks()`, `espn_request_chunks()`,
`fetch_espn_date_chunks()`, `clamp_espn_limit()` and
`merge_scoreboard_payloads()` are the pieces. A window's partial edge months
are asked whole and trimmed to its days (US Eastern), and chunk requests share
one process-wide cap of `ESPN_CHUNK_WORKERS` in flight.
Every request goes through [`fetch_service`](#fetch_service), the chunks
counted against the plugin that asked. Scoreboard plugins also bundle a copy
for older cores.
+186 -37
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@@ -26,10 +26,30 @@ A month can hold more than 500 events (college baseball's March does), and
ESPN answers that with exactly ``limit`` events and no hint that more exist. A
month chunk that comes back full is therefore re-asked day by day.
A window's *partial* edge months are asked for whole, too, once the window
covers ``ESPN_MONTH_COVER_MIN_DAYS`` or more of their days, and the answer is
trimmed back to the window's days. A scoreboard's default fortnight either side
of today (29 days, two partial months) was 29 day requests per league; it is
now 2. Trimming needs ESPN's "game day", which is the event's start in US
Eastern time -- checked against the live API on 2026-10-03: 417 of 417 soccer
events across five leagues and three months (one of them spanning the end of
daylight saving) came back from exactly the day query their Eastern date
names. A short window (a live poll's one or two days) stays day by day, so it
never downloads a whole month to read a day of it.
Chunk requests share one process-wide budget of ``ESPN_CHUNK_WORKERS`` in
flight, however many windows are being fetched at once. Each window used to get
its own six, so a scoreboard starting eight leagues -- each with a recent and
an upcoming manager -- had ~40 requests in flight, every one beyond a session's
pool a new connection and a new DNS lookup. On a Pi whose resolver could not
keep up, that was ~90 ``NameResolutionError`` lines within a minute of every
start.
Once a range has been rejected, later ranges skip straight to chunks for
``RANGE_RETRY_SECONDS`` instead of spending a doomed request first -- live
scoreboards ask every 30 seconds. After that the range is tried again, so the
workaround retires itself if ESPN reverts.
workaround retires itself if ESPN reverts. A process starts inside that
period, as if a range had just been rejected.
ONE CACHE KEY PER SCOREBOARD
----------------------------
@@ -55,7 +75,7 @@ import re
import threading
import time
from concurrent.futures import ThreadPoolExecutor
from datetime import date, datetime, timedelta
from datetime import date, datetime, timedelta, tzinfo
from functools import partial
from typing import Any, Callable, Dict, Iterable, List, Optional, Tuple, cast
@@ -100,16 +120,54 @@ RANGE_RETRY_SECONDS = 6 * 60 * 60
# pool_maxsize of 10 so the shared Session never has to discard connections.
ESPN_CHUNK_WORKERS = 6
#: An edge month the window covers at least this many days of is asked for
#: whole and trimmed, instead of one request per day (see module docstring).
#: Below it the days are cheaper than the month: a whole month is two to
#: three times the bytes of the half of it a fortnight window holds.
ESPN_MONTH_COVER_MIN_DAYS = 7
# Every chunk request in the process holds one of these while it is in flight
# -- the cap is per process, not per window (see module docstring).
_chunk_slots = threading.BoundedSemaphore(ESPN_CHUNK_WORKERS)
def _eastern_zone() -> Optional[tzinfo]:
"""US Eastern, the zone ESPN's ``dates=YYYYMMDD`` means, or None when
this Python has no time zone data (no edge month is trimmed then)."""
try:
from zoneinfo import ZoneInfo
return ZoneInfo("America/New_York")
except Exception: # noqa: BLE001 - no zoneinfo module or no tz database
pass
try:
import pytz
return cast(tzinfo, pytz.timezone("America/New_York"))
except Exception: # noqa: BLE001
return None
_EASTERN = _eastern_zone()
# What _fetch_one_chunk returns for a month that came back at the cap.
_CAPPED: Any = object()
_range_lock = threading.Lock()
_ranges_rejected_until = 0.0
# A process starts out assuming ranges are still rejected, as they have been
# since 2026-09-15, and tries one again RANGE_RETRY_SECONDS in. Starting
# from "unknown" cost one doomed range request per window at every start --
# eleven 400s at once from a soccer board, each fetching before any had
# answered -- to learn what every start learns.
_ranges_rejected_until = time.monotonic() + RANGE_RETRY_SECONDS
__all__ = [
"ESPN_MAX_LIMIT",
"ESPN_CHUNK_WORKERS",
"ESPN_MONTH_COVER_MIN_DAYS",
"RANGE_RETRY_SECONDS",
"clamp_espn_limit",
"parse_espn_date_range",
"espn_date_chunks",
"espn_request_chunks",
"merge_scoreboard_payloads",
"fetch_espn_date_chunks",
"fetch_espn_scoreboard",
@@ -220,6 +278,79 @@ def espn_date_chunks(start: date, end: date) -> List[str]:
return chunks
def espn_request_chunks(
start: date,
end: date,
month_cover_min_days: Optional[int] = None,
) -> List[Tuple[str, Optional[Tuple[date, date]]]]:
"""The requests that fetch ``[start, end]``, as ``(dates, trim)`` pairs.
:func:`espn_date_chunks`, except that a partial edge month with
``month_cover_min_days`` (default ``ESPN_MONTH_COVER_MIN_DAYS``) or more
of its days in the window becomes one ``YYYYMM`` request whose ``trim``
is the first and last of those days: its events that start outside them
(US Eastern) are dropped. ``trim`` is None for every other request.
Without time zone data nothing can be trimmed, so the edge days stay day
requests.
"""
if month_cover_min_days is None:
month_cover_min_days = ESPN_MONTH_COVER_MIN_DAYS
planned: List[Tuple[str, Optional[Tuple[date, date]]]] = []
run: List[str] = []
def flush() -> None:
if (_EASTERN is not None and month_cover_min_days > 0
and len(run) >= month_cover_min_days):
planned.append((run[0][:6], (_parse_day(run[0]), _parse_day(run[-1]))))
else:
planned.extend((day, None) for day in run)
run.clear()
for chunk in espn_date_chunks(start, end):
if run and (len(chunk) != 8 or chunk[:6] != run[0][:6]):
flush()
if len(chunk) == 8:
run.append(chunk)
else:
planned.append((chunk, None))
flush()
return planned
def _parse_day(text: str) -> date:
return date(int(text[:4]), int(text[4:6]), int(text[6:8]))
def _eastern_day(stamp: Any) -> Optional[date]:
"""The US Eastern date of an ESPN event ``date`` ("2026-10-10T11:30Z"),
or None when it cannot be read."""
if not isinstance(stamp, str) or _EASTERN is None:
return None
try:
moment = datetime.fromisoformat(stamp.strip().replace("Z", "+00:00"))
except ValueError:
return None
if moment.tzinfo is None:
return None
return moment.astimezone(_EASTERN).date()
def _trim_to_days(payload: Any, first: date, last: date) -> Any:
"""Drop the events of a month payload that start outside ``[first, last]``
(US Eastern). An event whose date cannot be read is kept: its day query
might well have returned it, and a game is never dropped on a guess.
"""
if not isinstance(payload, dict) or not isinstance(payload.get("events"), list):
return payload
kept = []
for event in payload["events"]:
day = _eastern_day(event.get("date")) if isinstance(event, dict) else None
if day is None or first <= day <= last:
kept.append(event)
payload["events"] = kept
return payload
def merge_scoreboard_payloads(payloads: List[Any]) -> Dict[str, Any]:
"""Fold chunk responses into one scoreboard payload.
@@ -250,37 +381,54 @@ def merge_scoreboard_payloads(payloads: List[Any]) -> Dict[str, Any]:
def _fetch_one_chunk(
session, url: str, params: Dict[str, Any], headers, timeout, logger, chunk: str,
cache_max_age: Optional[float] = None,
) -> Optional[Dict[str, Any]]:
trims: Optional[Dict[str, Tuple[date, date]]] = None,
) -> Any:
"""GET a single ``dates=`` chunk, or None when it failed.
One bad chunk must not sink the rest of the season, so every error is
logged and swallowed here rather than raised to the gather below.
A month that comes back at the cap is truncated: it returns ``_CAPPED``,
its payload dropped here before it is ever held beside the others. A
month in ``trims`` loses its events outside the days given there.
The request holds one of the process-wide ``_chunk_slots`` while it runs.
"""
try:
response = fetch_get(
session,
url,
params=dict(params, dates=chunk, limit=ESPN_MAX_LIMIT),
headers=headers,
timeout=timeout,
**_memo_kwargs(cache_max_age),
)
response.raise_for_status()
return cast(Optional[Dict[str, Any]], response_json(response))
with _chunk_slots:
response = fetch_get(
session,
url,
params=dict(params, dates=chunk, limit=ESPN_MAX_LIMIT),
headers=headers,
timeout=timeout,
**_memo_kwargs(cache_max_age),
)
response.raise_for_status()
payload = response_json(response)
except Exception as exc: # noqa: BLE001 - see docstring
if logger:
logger.warning("ESPN chunk %s failed, skipping it: %s", chunk, exc)
return None
if len(chunk) == 6 and isinstance(payload, dict):
if len(payload.get("events") or []) >= ESPN_MAX_LIMIT:
return _CAPPED
trim = (trims or {}).get(chunk)
if trim is not None:
payload = _trim_to_days(payload, *trim)
return payload
def _fetch_chunks(
session, url: str, params: Dict[str, Any], headers, timeout, logger,
chunks: List[str], cache_max_age: Optional[float] = None,
) -> List[Optional[Dict[str, Any]]]:
trims: Optional[Dict[str, Tuple[date, date]]] = None,
) -> List[Any]:
"""Fetch every chunk, returning payloads positionally aligned with ``chunks``.
Requests go out ``ESPN_CHUNK_WORKERS`` at a time because a cold season is
over a hundred of them. The order they come back in is not significant --
over a hundred of them -- and no more than that across every window the
process is fetching, which ``_fetch_one_chunk``'s slot enforces. The order they come back in is not significant --
callers keep ``chunks`` order from the returned list -- but it does mean
the session is shared across threads, which is why this only ever issues
GETs and never touches session state.
@@ -293,7 +441,7 @@ def _fetch_chunks(
return []
fetch = partial(
_fetch_one_chunk, session, url, params, headers, timeout, logger,
cache_max_age=cache_max_age,
cache_max_age=cache_max_age, trims=trims,
)
if len(chunks) == 1:
return [fetch(chunks[0])]
@@ -340,7 +488,9 @@ def fetch_espn_date_chunks(
if span is None:
return None
chunks = espn_date_chunks(*span)
planned = espn_request_chunks(*span)
chunks = [chunk for chunk, _ in planned]
trims = {chunk: trim for chunk, trim in planned if trim is not None}
if logger:
logger.debug(
"Fetching ESPN date range %s as %d month/day chunks",
@@ -349,32 +499,31 @@ def fetch_espn_date_chunks(
results = _fetch_chunks(
session, url, params, headers, timeout, logger, chunks, cache_max_age,
trims,
)
attempted = len(chunks)
# A month that came back at the cap is truncated; its days replace it in
# place, so merged events stay in chunk order however the requests raced.
# A month that came back at the cap is truncated; its days (only the
# window's, for a trimmed edge month) replace it in place, so merged
# events stay in chunk order however the requests raced. Its payload was
# already dropped in the worker: a capped college-baseball month is ~2MB
# of parsed JSON, and holding four of them through ~120 day requests added
# ~25MB to the peak -- more than the concurrency itself. Low-memory boards
# (docs/LOW_MEMORY_BOARDS.md) have under 200MB of headroom.
slots: List[Any] = results
capped: Dict[int, List[str]] = {}
for index, chunk in enumerate(chunks):
payload = slots[index]
if payload is None or len(chunk) != 6:
if slots[index] is not _CAPPED:
continue
events = payload.get("events") if isinstance(payload, dict) else None
if len(events or []) >= ESPN_MAX_LIMIT:
if logger:
logger.info(
"ESPN month %s hit the %d-event cap; re-asking it day by day",
chunk, ESPN_MAX_LIMIT,
)
capped[index] = _days_of_month(chunk)
# Drop the truncated month now rather than after its days arrive:
# a capped college-baseball month is ~2MB of parsed JSON, and
# holding four of them through ~120 day requests added ~25MB to
# the peak -- more than the concurrency itself. Low-memory boards
# (docs/LOW_MEMORY_BOARDS.md) have under 200MB of headroom.
slots[index] = None
payload = events = None
if logger:
logger.info(
"ESPN month %s hit the %d-event cap; re-asking it day by day",
chunk, ESPN_MAX_LIMIT,
)
trim = trims.get(chunk)
capped[index] = (_days_of_month(chunk) if trim is None
else espn_date_chunks(*trim))
slots[index] = None
if capped:
days = [day for index in sorted(capped) for day in capped[index]]
+168
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@@ -489,3 +489,171 @@ class TestConcurrency:
assert live["peak"] <= espn_dates.ESPN_CHUNK_WORKERS
assert live["peak"] > 1, "chunks should actually overlap"
class TestEdgeMonths:
"""A window's partial edge months are asked whole and trimmed.
The default scoreboard window -- a fortnight either side of today -- spans
two partial months, so it used to cost 29 day requests per league. ESPN's
``dates=YYYYMMDD`` means a US Eastern day (verified against the live API
on 2026-10-03, 417 of 417 soccer events), so a month answer trimmed to
the window's Eastern days is what the day requests returned.
"""
def test_a_fortnight_either_side_is_two_requests(self):
planned = espn_dates.espn_request_chunks(date(2026, 9, 20), date(2026, 10, 18))
assert planned == [
("202609", (date(2026, 9, 20), date(2026, 9, 30))),
("202610", (date(2026, 10, 1), date(2026, 10, 18))),
]
def test_a_live_polls_two_days_stay_two_days(self):
planned = espn_dates.espn_request_chunks(date(2026, 10, 2), date(2026, 10, 3))
assert planned == [("20261002", None), ("20261003", None)]
def test_the_threshold_is_inclusive(self):
n = espn_dates.ESPN_MONTH_COVER_MIN_DAYS
short = espn_dates.espn_request_chunks(date(2026, 10, 1), date(2026, 10, n - 1))
assert [chunk for chunk, _ in short] == [
"202610%02d" % day for day in range(1, n)]
enough = espn_dates.espn_request_chunks(date(2026, 10, 1), date(2026, 10, n))
assert enough == [("202610", (date(2026, 10, 1), date(2026, 10, n)))]
def test_whole_months_and_short_edges_are_unchanged(self):
planned = espn_dates.espn_request_chunks(date(2026, 8, 30), date(2026, 10, 2))
assert planned == [
("20260830", None), ("20260831", None), ("202609", None),
("20261001", None), ("20261002", None),
]
def test_without_time_zone_data_edges_stay_days(self, monkeypatch):
monkeypatch.setattr(espn_dates, "_EASTERN", None)
planned = espn_dates.espn_request_chunks(date(2026, 9, 20), date(2026, 10, 18))
assert len(planned) == 29
assert all(trim is None for _, trim in planned)
@pytest.mark.parametrize("start,end", [
(date(2026, 9, 20), date(2026, 10, 18)),
(date(2026, 1, 25), date(2026, 3, 3)),
(date(2026, 12, 20), date(2027, 1, 9)),
(date(2026, 10, 5), date(2026, 10, 9)),
])
def test_the_planned_requests_still_cover_every_day_exactly_once(self, start, end):
covered = []
for chunk, trim in espn_dates.espn_request_chunks(start, end):
if trim is None:
covered.extend(days_covered_by([chunk]))
else:
assert chunk == trim[0].strftime("%Y%m") == trim[1].strftime("%Y%m")
covered.extend(trim[0] + timedelta(days=offset)
for offset in range((trim[1] - trim[0]).days + 1))
expected = [start + timedelta(days=offset) for offset in range((end - start).days + 1)]
assert covered == expected
def test_a_trimmed_month_keeps_only_the_windows_eastern_days(self):
september = [
# 03:30Z on the 20th is still the 19th in New York: outside.
{"id": "before", "date": "2026-09-20T03:30Z"},
{"id": "first", "date": "2026-09-20T14:00Z"},
{"id": "late", "date": "2026-09-30T23:30Z"},
]
october = [
{"id": "oct1", "date": "2026-10-01T19:00Z"},
# 03:30Z on the 19th is the evening of the 18th in New York: inside.
{"id": "last", "date": "2026-10-19T03:30Z"},
{"id": "after", "date": "2026-10-19T14:00Z"},
{"id": "undated"},
]
session = FakeSession({"202609": september, "202610": october})
data = fetch_espn_date_chunks(session, URL, params={"dates": "20260920-20261018"})
assert sorted(call["dates"] for call in session.calls) == ["202609", "202610"]
# An event with no readable date is kept, never dropped on a guess.
assert [e["id"] for e in data["events"]] == ["first", "late", "oct1", "last", "undated"]
def test_eastern_standard_time_is_honoured_after_the_clocks_change(self):
# 2026-11-01 ends daylight saving: Eastern is UTC-5 from then on.
november = [
{"id": "out", "date": "2026-11-15T04:30Z"}, # Nov 14, 23:30 EST
{"id": "in", "date": "2026-11-15T05:30Z"}, # Nov 15, 00:30 EST
]
session = FakeSession({"202611": november})
data = fetch_espn_date_chunks(session, URL, params={"dates": "20261115-20261121"})
assert [e["id"] for e in data["events"]] == ["in"]
def test_a_capped_edge_month_re_asks_only_the_windows_days(self):
full = [{"id": "cap%d" % i, "date": "2026-10-05T18:00Z"} for i in range(ESPN_MAX_LIMIT)]
by_chunk = {"202610": full}
by_chunk.update({"202610%02d" % day: [{"id": "o%02d" % day}] for day in range(1, 32)})
session = FakeSession(by_chunk)
data = fetch_espn_date_chunks(session, URL, params={"dates": "20261001-20261010"})
sent = [call["dates"] for call in session.calls]
assert sent[0] == "202610"
assert sorted(sent[1:]) == ["202610%02d" % day for day in range(1, 11)]
assert [e["id"] for e in data["events"]] == ["o%02d" % day for day in range(1, 11)]
class TestProcessWideChunkCap:
"""The chunk cap holds across windows, not per window.
A soccer board starting eight leagues fetches sixteen windows at once.
With a pool of ``ESPN_CHUNK_WORKERS`` each, ~40 requests were in flight
and every one past a session's pool opened a connection -- and a DNS
lookup. On ledpi that was ~90 NameResolutionErrors per start.
"""
def test_concurrent_windows_share_one_budget(self):
live = {"now": 0, "peak": 0}
guard = threading.Lock()
class CountingSession(FakeSession):
def get(self, url, params=None, headers=None, timeout=None):
with guard:
live["now"] += 1
live["peak"] = max(live["peak"], live["now"])
try:
time.sleep(0.01)
return super().get(url, params=params, headers=headers, timeout=timeout)
finally:
with guard:
live["now"] -= 1
sessions = [CountingSession() for _ in range(6)]
# Six leagues, so the fetch service cannot merge them into one, on a
# host with no token bucket: earlier tests may have spent ESPN's
# burst, and a bucket paced at 20/s would serialise these by itself.
threads = [
threading.Thread(target=fetch_espn_date_chunks,
args=(session, "https://scores.example.test/league%d" % index),
kwargs={"params": {"dates": "20260101-20261231"}})
for index, session in enumerate(sessions)
]
for thread in threads:
thread.start()
for thread in threads:
thread.join(timeout=30)
assert all(len(session.calls) == 12 for session in sessions)
assert live["peak"] <= espn_dates.ESPN_CHUNK_WORKERS
assert live["peak"] > 1, "chunks should still overlap"
def test_a_fresh_process_skips_the_doomed_range_request():
"""Every start used to spend one 400 per window learning that ranges are
still rejected -- eleven at once from a soccer board. A new process now
starts inside the retry period instead."""
import subprocess
import sys
from pathlib import Path
out = subprocess.run(
[sys.executable, "-c",
"import src.common.espn_dates as e; print(e._ranges_known_rejected())"],
cwd=str(Path(__file__).resolve().parents[1]),
capture_output=True, text=True, timeout=60,
)
assert out.stdout.strip() == "True", out.stderr
+2 -2
View File
@@ -670,14 +670,14 @@ class TestCallerIdentity:
assert _counters(global_service, plugin="football-scoreboard")["requests"] == 1
def test_espn_chunks_on_worker_threads_count_against_the_caller(self, global_service):
from src.common.espn_dates import espn_date_chunks, fetch_espn_date_chunks, parse_espn_date_range
from src.common.espn_dates import espn_request_chunks, fetch_espn_date_chunks, parse_espn_date_range
session = FakeSession(lambda url, kw: make_response(body=b'{"events": []}', url=url))
dates = "20260801-20261015"
with plugin_scope("baseball-scoreboard"):
fetch_espn_date_chunks(session, "https://site.api.espn.com/s/scoreboard",
params={"dates": dates})
chunks = len(espn_date_chunks(*parse_espn_date_range(dates)))
chunks = len(espn_request_chunks(*parse_espn_date_range(dates)))
assert chunks > 1
assert len(session.calls) == chunks
assert _counters(global_service, plugin="baseball-scoreboard")["requests"] == chunks