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88 changes: 83 additions & 5 deletions polylogue/daemon/cli.py
Original file line number Diff line number Diff line change
Expand Up @@ -668,7 +668,37 @@ def _maybe_recommend_bulk_rebuild(counts: RawMaterializationCounts) -> None:
)


async def _maybe_route_daemon_bulk_rebuild(counts: RawMaterializationCounts) -> None:
async def _daemon_bulk_rebuild_transaction_in_flight() -> bool:
"""Whether the daemon's own well-known bulk-rebuild transaction is running.

Read-only fast path (at most one JSON file read). Used by
``_periodic_raw_materialization_convergence`` to stand its trickle
census/drain pass down for the current tick instead of duplicating work
the bulk-rebuild engine already subsumes: both walk the SAME
``raw_sessions`` -> index materialization pipeline over the same backlog
(see docs/design/convergence-simplification-inventory.md item 5 -- the
bulk engine's own paged cursor query is unfiltered by any fixed
snapshot, so it naturally absorbs raws that arrive while it runs; there
is no work left for the trickle pass to do on the SAME raws in the
meantime).

Mirrors ``_maybe_route_daemon_bulk_rebuild``'s own flag gate exactly:
the flag off means never even check. Checking survives a daemon restart
via a durable transaction record, so a stale "in flight" read while
routing is disabled would wrongly suppress the trickle conveyor -- the
ONLY mechanism left materializing raws -- with nothing to replace it.
"""
from polylogue.config import load_polylogue_config

if not load_polylogue_config().daemon_bulk_rebuild_routing:
return False
from polylogue.daemon.bulk_rebuild import has_resumable_daemon_bulk_rebuild_transaction
from polylogue.paths import archive_root

return await asyncio.to_thread(has_resumable_daemon_bulk_rebuild_transaction, archive_root())


async def _maybe_route_daemon_bulk_rebuild(counts: RawMaterializationCounts) -> bool:
"""polylogue-gd6v: route a bulk-scale backlog into a daemon-owned blue-green rebuild.

Off by default (``daemon_bulk_rebuild_routing`` config flag). Once a
Expand All @@ -679,11 +709,21 @@ async def _maybe_route_daemon_bulk_rebuild(counts: RawMaterializationCounts) ->
would waste every page already replayed into it. This runs after the
trickle pass has already released the writer coordinator, so scheduling
another writer-coordinated pass here is safe.

Returns whether a pass was genuinely attempted this call (``True``) or
the call was a structural no-op / hit a swallowed failure (``False``).
``_periodic_raw_materialization_convergence``'s trickle-suppression
branch (residual of polylogue-gd6v) uses this in place of the trickle
pass's own ``made_progress`` signal to decide whether to keep bursting
bulk-rebuild passes back-to-back or fall back to the slower outer
interval -- a genuine pass failure must not turn into a tight 1s retry
storm, matching how a trickle pass failure already falls back to the
outer interval via the caller's exception handling.
"""
from polylogue.config import load_polylogue_config

if not load_polylogue_config().daemon_bulk_rebuild_routing:
return
return False
from polylogue.config import Config
from polylogue.daemon.bulk_rebuild import (
DAEMON_BULK_REBUILD_OPERATION_ID,
Expand All @@ -696,7 +736,7 @@ async def _maybe_route_daemon_bulk_rebuild(counts: RawMaterializationCounts) ->
if not _bulk_scale_raw_materialization_backlog(counts) and not await asyncio.to_thread(
has_resumable_daemon_bulk_rebuild_transaction, root
):
return
return False
config = Config(archive_root=root, render_root=render_root(), sources=[])
try:
receipt = await run_daemon_bulk_rebuild_pass(
Expand All @@ -706,9 +746,9 @@ async def _maybe_route_daemon_bulk_rebuild(counts: RawMaterializationCounts) ->
)
except Exception:
logger.warning("bulk-rebuild: routed pass failed", exc_info=True)
return
return False
if receipt is None:
return
return True
transaction_status = str(receipt.transaction["status"]) if receipt.transaction else receipt.status
processed = receipt.transaction.get("processed_raw_count") if receipt.transaction else None
logger.info(
Expand All @@ -724,6 +764,7 @@ async def _maybe_route_daemon_bulk_rebuild(counts: RawMaterializationCounts) ->
"the trickle conveyor's remaining backlog reflects the new active index from the next tick",
DAEMON_BULK_REBUILD_OPERATION_ID,
)
return True


async def _periodic_raw_materialization_convergence() -> None:
Expand All @@ -745,6 +786,43 @@ async def _periodic_raw_materialization_convergence() -> None:
recover = True
try:
while True:
# polylogue-gd6v residual: while the daemon's own bulk-rebuild
# transaction is in flight, it already subsumes exactly the
# raw->index materialization work this pass would do over
# the SAME backlog (see
# ``_daemon_bulk_rebuild_transaction_in_flight`` and
# docs/design/convergence-simplification-inventory.md item 5).
# Standing the trickle census/drain pass down here avoids
# both mechanisms converging on the same raws every tick --
# double parse/replay work plus needless writer-hold
# contention between the two. Everything else the trickle
# conveyor is NOT responsible for (live-ingest acquisition,
# hook-spool drain, embedding catch-up, already-committed
# session insights) lives in separate periodic loops and
# keeps running unaffected. Driving the bulk pass here
# (instead of only from the trickle branch below) also lets
# bulk-rebuild progress burst at the same 1s cadence the
# trickle conveyor uses, rather than waiting a full quiet
# interval between passes.
if await _daemon_bulk_rebuild_transaction_in_flight():
logger.debug(
"raw materialization: standing down trickle census/drain -- "
"a daemon bulk-rebuild transaction already subsumes this backlog"
Comment on lines +807 to +810

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P1 Badge Avoid suppressing trickle for a snapshot-bound rebuild

When bulk routing is enabled and a watcher appends to source.db between bounded passes, this branch suppresses the trickle drain even though the rebuild cannot absorb that row: polylogue/maintenance/rebuild_index.py:307-315 compares the current source revision with the transaction's fixed snapshot and marks the transaction stale. The subsequent routed pass returns False, causing the loop to wait the 30-second outer interval; on the next cycle it can run only one 16-row trickle batch before starting another rebuild. Repeated live ingestion can therefore throttle active-index convergence to roughly one trickle batch per interval while each bulk attempt is invalidated, allowing the backlog to keep growing.

Useful? React with 👍 / 👎.

)
from polylogue.product.raw_authority import RawMaterializationCounts

bulk_progressed = await _maybe_route_daemon_bulk_rebuild(RawMaterializationCounts())
if not bulk_progressed:
# A swallowed pass failure -- fall back to the slower
# outer interval instead of retrying every burst
# second (mirrors how a trickle pass failure already
# escapes to the outer interval via the exception
# handlers below).
break
if _browser_capture_spool_has_pending_files():
break
await asyncio.sleep(_RAW_MATERIALIZATION_BACKLOG_BURST_PAUSE_SECONDS)
continue
# While replay planning is paused behind the persisted parser
# census, a pass does census-only work: no replay transaction
# runs, so the small replay-sized batch limit (which bounds
Expand Down
260 changes: 260 additions & 0 deletions tests/unit/daemon/test_daemon_bulk_rebuild_responsiveness.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,260 @@
"""Fixture-scale responsiveness proof for polylogue-gd6v's remaining AC.

PR #3189's own body deferred this explicitly: "agvo responsiveness p99 gate
during a live drain -- not independently measured here; rests on the same
off-writer-hold parse mechanism phase (a) already established." This module
supplies the missing measurement at fixture scale: it drives the REAL
``polylogue.daemon.bulk_rebuild.run_daemon_bulk_rebuild_pass`` -- the exact
production pass driver, not a stub -- against a real archive, CONCURRENTLY
with small simulated writer-actor coroutines (standing in for live-ingest
appends / hook-spool drain writes) sharing the SAME
``polylogue.daemon.write_coordinator.DaemonWriteCoordinator`` every other
daemon writer actor goes through, and asserts the small actors' queued-wait
time stays within a documented budget throughout the drain.

Why this is a meaningful (non-vacuous) proof, not just a green assertion:

* The coordinator is a strict FIFO single-writer gate (see
``DaemonWriteCoordinator._execute``): once a small actor's request is
queued, its wait time is bounded by, at most, the currently-held pass's
remaining hold duration plus any earlier-queued items -- there is no
starvation-by-priority path. What actually determines whether that bound
is small is whether the *bulk-rebuild* side keeps its own passes bounded
(small ``raw_batch_size``, parse pre-warmed off the writer hold by
``DaemonParseStage`` per #3168) instead of holding the writer for an
entire corpus in one sweep.
* Manual measurement during development, at this exact fixture shape
(150-raw corpus, batch=8, 3 concurrent small actors): bounded passes held
the writer for ~0.04-0.34s each and small-actor queued wait had p99
~0.32s. Collapsing the SAME corpus into one UNBOUNDED pass (batch=150,
the whole backlog in a single writer hold -- reproducing a regression
that removed per-pass batching, e.g. dropping ``RebuildIndexRequest``'s
paged ``raw_batch_size`` back to "whole backlog") measured a single
~1.28s writer hold and pushed small-actor p99 wait to ~1.26s -- a small
actor queued behind that one giant hold waits for nearly the WHOLE
drain, not a bounded fraction of it. This test's budget (see
``_SMALL_ACTOR_WAIT_BUDGET_SECONDS`` below) sits between those two
measurements: comfortably above the bounded-pass p99 (headroom against
host CPU contention -- this repo commonly runs concurrent agent/rebuild
load) while still well below what the unbounded-pass regression produces
at this exact fixture size, so a real regression to unbounded passes
would fail this test, not just a hypothetical one at a different scale.
"""

from __future__ import annotations

import asyncio
import json
import time
from pathlib import Path

import pytest

import polylogue.daemon.write_coordinator as write_coordinator_module
from polylogue.config import Config
from polylogue.core.enums import Provider
from polylogue.daemon.bulk_rebuild import run_daemon_bulk_rebuild_pass
from polylogue.daemon.parse_prefetch import DaemonParseStage
from polylogue.daemon.write_coordinator import DaemonWriteCoordinator, DaemonWriteEvent
from polylogue.storage.sqlite.archive_tiers.archive import ArchiveStore
from polylogue.storage.sqlite.archive_tiers.bootstrap import initialize_active_archive_root

_RAW_COUNT = 150
_BULK_BATCH_SIZE = 8 # forces >= 10 bounded passes over the fixture corpus
_SMALL_ACTOR_COUNT = 3
_SMALL_ACTOR_INTERVAL_SECONDS = 0.02
_MAX_PAYLOAD_BYTES = 10_000_000

# Manually measured at this exact fixture shape (150 raws, batch=8, 3
# concurrent small actors): the correct bounded-pass implementation saw p99
# queued wait ~0.32s (max single writer hold ~0.34s). Collapsing the SAME
# 150-raw corpus into one unbounded pass (batch=150) pushed p99 wait to
# ~1.26s. This budget sits between those two measurements: several times
# the bounded-pass p99 (headroom against host CPU contention -- this repo
# commonly runs concurrent agent/rebuild load) while staying below the
# unbounded-pass regression's measurement at this same fixture size, so
# this is a real (not merely hypothetical) regression detector, not just a
# loose ceiling nothing could ever hit.
_SMALL_ACTOR_WAIT_BUDGET_SECONDS = 1.0


def _codex_session(native_id: str, messages: tuple[tuple[str, str], ...]) -> bytes:
rows: list[dict[str, object]] = [
{"type": "session_meta", "payload": {"id": native_id, "timestamp": "2026-07-20T00:00:00Z"}}
]
for position, (role, text) in enumerate(messages):
rows.append(
{
"type": "response_item",
"payload": {
"type": "message",
"id": f"{native_id}-m{position}",
"role": role,
"content": [
{"type": "input_text" if role == "user" else "output_text", "text": text},
],
},
}
)
return b"".join(json.dumps(row, sort_keys=True).encode() + b"\n" for row in rows)


def _config(root: Path) -> Config:
return Config(archive_root=root, render_root=root / "render", sources=[])


def _seed_corpus(root: Path, *, count: int = _RAW_COUNT) -> None:
initialize_active_archive_root(root)
with ArchiveStore.open_existing(root, read_only=False) as archive:
for index in range(count):
archive.write_raw_payload(
provider=Provider.CODEX,
payload=_codex_session(
f"responsiveness-session-{index}",
(
("user", f"question {index}"),
("assistant", f"searchable answer {index}" * 10),
),
),
source_path=f"responsiveness-corpus-{index}.jsonl",
acquired_at_ms=index,
)


def _small_write(_marker: int) -> None:
"""Trivial fast writer-actor body -- stands in for a live-ingest append
or hook-spool drain write that must never queue for long behind a
bulk-rebuild pass sharing the same coordinator."""
time.sleep(0.001)


async def _run_small_actor(
coordinator: DaemonWriteCoordinator,
name: str,
stop: asyncio.Event,
*,
interval: float,
) -> None:
counter = 0
while not stop.is_set():
await coordinator.run_sync(name, _small_write, counter)
counter += 1
await asyncio.sleep(interval)


async def _drive_bulk_rebuild_to_promotion(
root: Path,
*,
batch_size: int,
) -> int:
"""Drive the REAL daemon bulk-rebuild pass driver to promotion.

Returns the number of bounded passes it took. Uses a fresh
``DaemonParseStage`` per pass (mirroring a daemon restart between
ticks, same pattern as ``tests/unit/daemon/test_bulk_rebuild.py``) so
this also exercises the resume path rather than only a warm cache.
"""
config = _config(root)
pass_count = 0
for _ in range(_RAW_COUNT * 2): # generous upper bound; promotion ends the loop early
stage = DaemonParseStage(max_workers=2, max_inflight_bytes=_MAX_PAYLOAD_BYTES)
try:
receipt = await run_daemon_bulk_rebuild_pass(
config=config,
parse_stage=stage,
batch_size=batch_size,
max_payload_bytes=_MAX_PAYLOAD_BYTES,
)
finally:
stage.shutdown()
if receipt is None:
break
pass_count += 1
transaction_status = receipt.transaction["status"] if receipt.transaction else receipt.status
if transaction_status == "promoted":
break
else:
pytest.fail("bulk rebuild did not reach promotion within the generous pass budget")
return pass_count


def test_small_writer_actors_stay_responsive_during_bulk_rebuild_drain(
tmp_path: Path, monkeypatch: pytest.MonkeyPatch
) -> None:
"""gd6v residual: concurrent small writer actors must not be starved by
a real bulk-rebuild drain sharing the daemon write coordinator.

Anti-vacuity: this drives ``run_daemon_bulk_rebuild_pass`` (the real
production pass driver used by ``_maybe_route_daemon_bulk_rebuild`` in
``polylogue/daemon/cli.py``) against a real fixture archive, and the
small actors run through the real ``DaemonWriteCoordinator.run_sync`` --
the exact same coordinator every other daemon writer actor (live
ingest, hook-spool drain, insight convergence) uses. A regression that
collapsed the bulk driver's own per-pass batching back into one
unbounded writer-held sweep (removing ``RebuildIndexRequest``'s paged
``raw_batch_size``, or bypassing the coordinator's FIFO admission
entirely) would make at least one small actor wait for a hold
proportional to the WHOLE corpus instead of one bounded page, which
this fixture's corpus size (see module docstring) pushes well past
``_SMALL_ACTOR_WAIT_BUDGET_SECONDS``.
"""
monkeypatch.setenv("POLYLOGUE_ARCHIVE_ROOT", str(tmp_path))
_seed_corpus(tmp_path)

events: list[DaemonWriteEvent] = []
coordinator = DaemonWriteCoordinator(observer=events.append)
# ``run_daemon_bulk_rebuild_pass`` resolves the coordinator via a local
# ``from polylogue.daemon.write_coordinator import daemon_write_coordinator``
# import each call, so patching the module-level factory function makes
# every writer actor in this test -- the real bulk driver AND the small
# simulated actors below -- share this one instrumented instance,
# exactly like every writer actor in a real daemon process shares the
# one per-event-loop coordinator singleton.
monkeypatch.setattr(write_coordinator_module, "daemon_write_coordinator", lambda: coordinator)

async def scenario() -> int:
stop = asyncio.Event()
small_actor_tasks = [
asyncio.create_task(
_run_small_actor(
coordinator,
f"live.append.{i}",
stop,
interval=_SMALL_ACTOR_INTERVAL_SECONDS,
)
)
for i in range(_SMALL_ACTOR_COUNT)
]
try:
return await _drive_bulk_rebuild_to_promotion(tmp_path, batch_size=_BULK_BATCH_SIZE)
finally:
stop.set()
for task in small_actor_tasks:
task.cancel()
await asyncio.gather(*small_actor_tasks, return_exceptions=True)

pass_count = asyncio.run(scenario())

small_actor_waits = sorted(
event.wait_seconds
for event in events
if event.phase == "acquired" and event.actor.startswith("live.append.") and event.wait_seconds is not None
)
bulk_pass_events = [
event for event in events if event.phase == "acquired" and event.actor == "maintenance.bulk_rebuild"
]

# Sanity floor on the scenario itself: a single pass or a handful of
# small-actor samples would make the p99 assertion below vacuous (no
# real concurrency to interleave against).
assert pass_count >= 10, "fixture must force multiple bounded bulk passes to be a meaningful concurrency proof"
assert len(bulk_pass_events) == pass_count
assert len(small_actor_waits) >= 10, "small actors must genuinely interleave with the drain, not merely bookend it"

p99_index = min(len(small_actor_waits) - 1, int(len(small_actor_waits) * 0.99))
p99_wait = small_actor_waits[p99_index]
assert p99_wait < _SMALL_ACTOR_WAIT_BUDGET_SECONDS, (
f"small writer actor p99 queued-wait {p99_wait:.3f}s exceeded the "
f"{_SMALL_ACTOR_WAIT_BUDGET_SECONDS}s budget while a real bulk-rebuild pass was draining "
f"({len(small_actor_waits)} samples across {pass_count} bulk passes)"
)
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