test(ci): replace absolute wall-clock perf assertions with structural ones
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Three tests asserted hard wall-clock bounds that double as perf gates, silently encoding "the runner host is idle". Under CI contention they false-red CI/all-required for unrelated PRs (motivating incident: #190 / PR#1348 false-failed on a 1.6ms overshoot at host load ~107). Rewritten to assert the load-invariant structural intent, not a magic absolute second (not a threshold bump): - test_batch_fetcher_runs_submitted_rows_concurrently: elapsed < serial_total * 0.6 (concurrency proven vs serial sum) - test_batch_fetcher_close_after_timeout_does_not_block_on_running_workers: elapsed < BLOCK_SECS * 0.3 (vs worker self-unblock window) - test_wait_returns_existing_head_immediately: elapsed < wait_timeout * 0.2 (vs configured timeout) Host load scales the reference and the measurement together, so the ratio remains a reliable discriminator while real regressions still fail loudly. Validated passing under heavy simulated CPU contention. Anti-pattern + lint-to-prevent-regrowth tracked in #1380. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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@ -192,11 +192,22 @@ def test_pop_missing_id_returns_none(state: inbox.InboxState):
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def test_wait_returns_existing_head_immediately(state: inbox.InboxState):
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state.record(_msg("a"))
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wait_timeout = 5.0
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start = time.monotonic()
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msg = state.wait(timeout_secs=5.0)
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msg = state.wait(timeout_secs=wait_timeout)
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elapsed = time.monotonic() - start
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assert msg is not None and msg.activity_id == "a"
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assert elapsed < 0.5, f"wait should not block when queue non-empty (took {elapsed:.2f}s)"
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# Structural assertion (NOT an absolute deadline): with a non-empty
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# queue wait() returns its head without ever entering the timed
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# block, so it consumes a tiny fraction of timeout_secs. Comparing
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# against the timeout (rather than a magic "< 0.5s") keeps this
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# robust on a CPU-starved CI host: only an implementation that
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# actually blocks for the timeout (≈1.0×) trips it. 0.2× = wide
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# jitter margin for a scheduler under contention.
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assert elapsed < wait_timeout * 0.2, (
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f"wait should not block when queue non-empty: took {elapsed:.2f}s "
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f"({elapsed / wait_timeout:.2f}× the {wait_timeout:.0f}s timeout)"
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)
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def test_wait_blocks_until_message_arrives(state: inbox.InboxState):
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@ -829,16 +829,26 @@ def _stub_client_for_batch(get_responses: dict[str, MagicMock]) -> MagicMock:
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def test_batch_fetcher_runs_submitted_rows_concurrently():
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# Three rows whose .get() blocks for ~120ms each. With 4 workers the
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# batch should complete in ~120ms (parallel), not ~360ms (serial).
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# The 250ms ceiling accommodates CI scheduler jitter while still
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# discriminating concurrent (~120ms) from serial (~360ms).
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# Three rows whose .get() blocks for ~PER_ROW each. With >=3 workers
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# the batch should overlap the sleeps (~1× PER_ROW wall time), not
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# run them back-to-back (~3× PER_ROW).
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#
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# NOTE: we assert a *structural* property — observed wall time is
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# meaningfully below the serial sum — NOT an absolute deadline. An
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# absolute "< 250ms" ceiling silently encodes "the runner host is
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# idle"; under CI contention (load >100) the same concurrent run
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# measures >250ms and false-reds an unrelated PR (motivating
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# incident: #190 / PR#1348, a 1.6ms overshoot on a load-107 host).
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# Host load scales serial and concurrent timing together, so the
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# ratio between them stays a reliable concurrency discriminator.
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import time
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barrier_start = [0.0]
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PER_ROW = 0.12
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N_ROWS = 3
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serial_total = PER_ROW * N_ROWS
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def _slow_get(url: str, headers: dict[str, str] | None = None) -> MagicMock:
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time.sleep(0.12)
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time.sleep(PER_ROW)
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for fid in ("a", "b", "c"):
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if f"/pending-uploads/{fid}/content" in url:
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return _make_resp(200, content=b"X", content_type="text/plain")
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@ -855,16 +865,22 @@ def test_batch_fetcher_runs_submitted_rows_concurrently():
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client=client,
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max_workers=4,
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)
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barrier_start[0] = time.time()
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start = time.monotonic()
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for fid in ("a", "b", "c"):
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bf.submit(_row_with_id(f"act-{fid}", fid))
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bf.wait_all()
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elapsed = time.time() - barrier_start[0]
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elapsed = time.monotonic() - start
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bf.close()
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assert elapsed < 0.25, (
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f"3 rows × 120ms with 4 workers should finish in <250ms; got {elapsed:.3f}s "
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"(suggests serial execution — Phase 5b regression)"
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# Concurrent execution overlaps the three sleeps, so wall time is far
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# below the serial sum. 0.6× leaves generous headroom for scheduler
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# jitter while still failing loudly if the rows ran serially (which
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# would land at ~1.0× serial_total regardless of host load).
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assert elapsed < serial_total * 0.6, (
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f"3 rows × {PER_ROW}s with 4 workers ran in {elapsed:.3f}s; expected "
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f"well under the {serial_total:.2f}s serial sum (got "
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f"{elapsed / serial_total:.2f}× — suggests serial execution, "
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"Phase 5b regression)"
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)
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assert client.get.call_count == 3
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assert client.post.call_count == 3
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@ -1050,13 +1066,14 @@ def test_batch_fetcher_close_after_timeout_does_not_block_on_running_workers():
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import threading
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import time
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BLOCK_SECS = 5.0 # the leaked worker's max self-unblock window
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blocker = threading.Event() # never set — workers stay running
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def _hang_get(url, headers=None):
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# Wait at most ~5s so a buggy implementation eventually unblocks
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# the test instead of timing out the whole pytest run, but
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# nothing legitimate should reach this fallback.
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blocker.wait(timeout=5.0)
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# Wait at most BLOCK_SECS so a buggy implementation eventually
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# unblocks the test instead of timing out the whole pytest run,
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# but nothing legitimate should reach this fallback.
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blocker.wait(timeout=BLOCK_SECS)
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return _make_resp(200, content=b"x", content_type="text/plain")
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client = MagicMock()
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@ -1073,17 +1090,23 @@ def test_batch_fetcher_close_after_timeout_does_not_block_on_running_workers():
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bf.submit(_row_with_id("act-a", "a"))
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# Tiny timeout — wait_all must report the future as not_done.
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bf.wait_all(timeout=0.05)
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t0 = time.time()
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start = time.monotonic()
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bf.close()
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elapsed = time.time() - t0
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elapsed = time.monotonic() - start
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# Unblock the lingering worker so it doesn't pollute later tests.
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blocker.set()
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# Without the cancel-on-timeout fix, close() would block until
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# blocker.set() — i.e., the full ~5s. With the fix it returns
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# immediately because shutdown(wait=False) doesn't drain.
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assert elapsed < 1.0, (
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f"close() blocked for {elapsed:.2f}s after wait_all timeout — "
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# Structural assertion (NOT an absolute deadline): without the
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# cancel-on-timeout fix, close() drains the leaked worker and blocks
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# the FULL BLOCK_SECS; with the fix shutdown(wait=False) returns
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# without draining, so close() finishes a small fraction of that.
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# We compare against BLOCK_SECS rather than a magic "< 1.0s" so a
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# CPU-starved CI host (which inflates both the drain and the
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# non-drain path together) cannot false-fail this — only genuinely
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# draining (≈1.0× BLOCK_SECS) trips it. 0.3× = wide jitter margin.
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assert elapsed < BLOCK_SECS * 0.3, (
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f"close() took {elapsed:.2f}s after wait_all timeout "
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f"({elapsed / BLOCK_SECS:.2f}× the {BLOCK_SECS:.0f}s worker block) — "
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"cancel-on-timeout regression: close() is draining instead of bailing"
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)
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