fix(ingest): address review round 1 (reclaim queue + tests)

- Register the periodic stalled-job reclaim on a dedicated ingest-maintenance
  queue that every worker drains (any --tier), so reclaim still fires when the
  fast fleet is scaled to zero and only ocr workers run. procrastinate's
  periodic-defer dedup keeps it single-run across drainers.
- escalation: mark `unsupported`/`forced` reason labels as reserved (not raised).
- processor: note that options/progress_callback are intentionally not threaded
  through _parse_pdf_tier yet (symmetric with the inline path).
- tests: assert TieredEscalationStrategy backoff progression (4/8/16/…/300s);
  cover get_ingest_pending per-queue aggregation + the legacy job_counts
  fallback; add an external-path zero-page no-escalation case; use the canonical
  INGEST_QUEUE_FAST instead of the back-compat alias.

Deck #323.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
Chris Coutinho
2026-06-13 13:34:03 +02:00
co-authored by Claude Opus 4.8
parent 9676bb3106
commit 35f8204a16
8 changed files with 86 additions and 11 deletions
+7 -3
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@@ -384,6 +384,7 @@ def worker(concurrency: int | None, tier: str | None):
from nextcloud_mcp_server.vector.queue.procrastinate import ( # noqa: PLC0415
ALL_INGEST_QUEUES,
INGEST_QUEUE_MAINTENANCE,
LEGACY_INGEST_QUEUE,
TIER_QUEUES,
apply_ingest_queue_schema,
@@ -392,11 +393,14 @@ def worker(concurrency: int | None, tier: str | None):
# Which queues this process drains. A single tier -> just its queue; no tier
# -> every tier queue PLUS the legacy single queue, so a rolling upgrade
# never strands jobs deferred under the pre-#323 name.
# never strands jobs deferred under the pre-#323 name. Every worker also
# drains the maintenance queue so the periodic stalled-job reclaim fires
# regardless of which tier(s) are scaled up (procrastinate dedups the
# periodic, so multiple drainers don't multiply the reclaim).
if tier is not None:
queues = [TIER_QUEUES[tier]]
queues = [TIER_QUEUES[tier], INGEST_QUEUE_MAINTENANCE]
else:
queues = [*ALL_INGEST_QUEUES, LEGACY_INGEST_QUEUE]
queues = [*ALL_INGEST_QUEUES, LEGACY_INGEST_QUEUE, INGEST_QUEUE_MAINTENANCE]
# This is the consumer side of the distributed (postgres) ingest backend.
# Unlike the in-process anyio pool, the worker talks to procrastinate's App
@@ -53,8 +53,10 @@ class EscalateError(Exception):
the junk text is never indexed, and it must never be swallowed by a broad
``except Exception`` on the indexing path.
``reason`` uses the existing escalation label vocabulary:
``empty_text`` | ``low_confidence`` | ``unsupported`` | ``forced``.
``reason`` uses the existing escalation label vocabulary. This PR raises
``empty_text`` (scanned / no text layer) and ``low_confidence`` (junk text
layer); ``unsupported`` and ``forced`` are reserved for future callers and
not raised yet.
"""
def __init__(self, *, from_tier: str, to_tier: str, reason: str) -> None:
+4
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@@ -147,6 +147,10 @@ async def _parse_pdf_tier(
EscalateError,
)
# options / progress_callback are not threaded here -- the indexing caller
# passes neither today, and the inline path (registry.process) omits them
# too. Forward them if a tier processor ever needs per-call tuning (e.g. OCR
# DPI); keeping the two paths symmetric until then.
result = await registry.process_tier(content, content_type, filename, tier)
if result.success:
decision = registry.evaluate_escalation(
@@ -87,6 +87,14 @@ LEGACY_INGEST_QUEUE = "ingest"
# Back-compat alias for callers that imported the old single-queue constant.
INGEST_QUEUE_NAME = DEFAULT_INGEST_QUEUE
# Maintenance queue carrying ONLY the periodic stalled-job reclaim (no document
# jobs). Every worker drains it regardless of --tier, so the reclaim fires even
# in an asymmetric deployment where the fast fleet is scaled to zero and only
# ocr workers run. procrastinate's periodic-defer dedup ensures exactly one
# worker runs each tick even when many drain this queue. Kept off document
# queues so tier isolation (which fleet processes which docs) is preserved.
INGEST_QUEUE_MAINTENANCE = "ingest-maintenance"
# Queues the job-count + reclaim helpers sweep (tier queues + the legacy one).
_MANAGED_QUEUES: tuple[str, ...] = (*ALL_INGEST_QUEUES, LEGACY_INGEST_QUEUE)
@@ -368,8 +376,12 @@ def _build_ingest_blueprint() -> Blueprint:
max_transient_attempts=get_settings().ingest_transient_max_attempts
),
)(process_document_task)
# Reclaim runs on the dedicated maintenance queue (every worker drains it),
# not a tier queue -- otherwise an ocr-only deployment (fast scaled to zero)
# would never fire the periodic and orphaned ``doing`` jobs would never be
# reclaimed. The task itself sweeps ALL queues (get_stalled_jobs(queue=None)).
reclaim = bp.task(
name="reclaim_stalled_jobs", queue=DEFAULT_INGEST_QUEUE, pass_context=True
name="reclaim_stalled_jobs", queue=INGEST_QUEUE_MAINTENANCE, pass_context=True
)(reclaim_stalled_ingest_jobs)
bp.periodic(cron="*/5 * * * *", periodic_id="reclaim_stalled_ingest")(reclaim)
return bp
+12
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@@ -388,3 +388,15 @@ def test_evaluate_escalation_terminal_when_no_higher_tier(monkeypatch):
processor="fast",
)
assert r.evaluate_escalation(res, b"%PDF", "fast", _Settings(ocr=True)) is None
def test_evaluate_escalation_zero_page_does_not_escalate(monkeypatch):
"""A zero-page (empty/corrupt) PDF never escalates on the external path."""
monkeypatch.setattr(reg_mod, "record_document_classification", MagicMock())
r = _registry((_Fake("fast", "fast"), 20), (_Fake("ocr", "ocr"), 5))
res = ProcessingResult(
text="",
metadata={"page_count": 0, "page_boundaries": []},
processor="fast",
)
assert r.evaluate_escalation(res, b"%PDF", "fast", _Settings(ocr=True)) is None
+28 -4
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@@ -11,21 +11,45 @@ pytestmark = pytest.mark.unit
class TestGetIngestPending:
async def test_postgres_reads_job_counts(self):
async def test_postgres_aggregates_by_queue(self):
"""Per-queue counts are summed into fleet-wide totals (Deck #323)."""
producer = AsyncMock()
producer.job_counts.return_value = {"todo": 5, "doing": 2, "failed": 1}
producer.job_counts_by_queue.return_value = {
"ingest-fast": {"todo": 5, "doing": 1},
"ingest-ocr": {"doing": 1, "failed": 1},
}
result = await get_ingest_pending(
task_producer=producer,
document_receive_stream=None,
ingest_queue="postgres",
)
assert result.pending == 7 # todo + doing
assert result.pending == 7 # todo(5) + doing(1+1)
assert result.job_counts == {"todo": 5, "doing": 2, "failed": 1}
assert result.job_counts_by_queue == {
"ingest-fast": {"todo": 5, "doing": 1},
"ingest-ocr": {"doing": 1, "failed": 1},
}
async def test_postgres_falls_back_to_aggregate_counts(self):
"""A producer without job_counts_by_queue uses the aggregated call."""
class LegacyProducer:
async def job_counts(self):
return {"todo": 5, "doing": 2, "failed": 1}
result = await get_ingest_pending(
task_producer=LegacyProducer(),
document_receive_stream=None,
ingest_queue="postgres",
)
assert result.pending == 7
assert result.job_counts == {"todo": 5, "doing": 2, "failed": 1}
assert result.job_counts_by_queue is None
async def test_postgres_degrades_to_zero_on_error(self):
producer = AsyncMock()
producer.job_counts.side_effect = RuntimeError("db down")
producer.job_counts_by_queue.side_effect = RuntimeError("db down")
result = await get_ingest_pending(
task_producer=producer,
@@ -48,7 +48,8 @@ class TestProcrastinateTaskProducer:
assert len(jobs) == 1
job = jobs[0]
assert job["task_name"] == pq.INGEST_TASK_NAME
assert job["queue_name"] == pq.INGEST_QUEUE_NAME
# New jobs are deferred onto the cheapest tier's queue.
assert job["queue_name"] == pq.INGEST_QUEUE_FAST
assert job["queueing_lock"] == "alice:note:42"
assert job["lock"] is None # no execution lock (crash-deadlock guard)
assert job["args"]["doc_id"] == "42"
@@ -5,6 +5,8 @@ and the procrastinate TieredEscalationStrategy that turns a raised exception
into a queue-hop / same-tier retry / give-up decision.
"""
from datetime import datetime, timezone
import httpx
import pytest
from procrastinate.jobs import Job
@@ -87,6 +89,20 @@ class TestTieredEscalationStrategy:
assert decision.queue is None
assert decision.retry_at is not None
def test_transient_backoff_progression(self):
# min(4 * 2**(attempts-1), 300): 4, 8, 16, ... capped at 300s.
strat = self._strategy(max_transient=100)
for attempts, expected in [(1, 4), (2, 8), (3, 16), (4, 32), (20, 300)]:
decision = strat.get_retry_decision(
exception=httpx.ConnectError("x"), job=_job(attempts=attempts)
)
assert decision is not None and decision.retry_at is not None
delta = (decision.retry_at - datetime.now(timezone.utc)).total_seconds()
# retry_at = now + wait; allow a small window for execution time.
assert expected - 2 <= delta <= expected + 1, (
f"attempts={attempts}: delta={delta:.2f}s, expected≈{expected}s"
)
def test_transient_gives_up_over_cap(self):
decision = self._strategy(max_transient=5).get_retry_decision(
exception=httpx.ConnectError("refused"), job=_job(attempts=5)