Files
mcp-nextcloud/tests/unit/vector/test_tiered_escalation_strategy.py
Chris CoutinhoandClaude Opus 4.8 6e32bd9561 refactor(ingest): doc legacy ocr queue; fix docstrings + getattr guard
Address claude-review round 2 on #922:

- Legacy `ingest-ocr` tier resolution (important 1): document why it deliberately
  resolves to `fast` rather than mapping to `ocr-upstream` — stranded pre-split
  jobs re-extract empty and re-escalate via the ladder to the cheap
  `ocr-incluster` rung, keeping them OFF the paid upstream rung. Added a
  tier_for_queue(LEGACY_INGEST_QUEUE_OCR) == "fast" assertion.
- Double get_settings() in `_get_batch_client` (important 2): bind once to a local.
- Stale docstrings (important 3): OcrProcessor (serves both rungs now),
  _tier_available (both OCR rungs gated), evaluate_escalation (targets
  ocr-incluster, falls through to ocr-upstream).
- Misconfigured model_setting (nit 5): OcrProcessor.__init__ raises ValueError on
  an unknown settings attr (fail-fast at startup vs AttributeError mid-OCR); also
  removes the dynamic-getattr static-analysis smell SonarCloud flagged.
- Redundant guard (nit 4): kept `and ocr_tier is not None` — it's required for ty
  to narrow ocr_tier to str for record_document_escalation; added a comment.
- Test gap (nit 6): added a test pinning the CURRENT incluster-failure ->
  tier-1 fallback (does NOT cascade to upstream) so the future 503-escalation
  change is an explicit diff.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-18 00:16:20 +02:00

172 lines
7.3 KiB
Python

"""Unit tests for the per-tier escalation primitives (Deck #323).
Covers the tier-ladder helpers + EscalateError (document_processors.escalation)
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
import nextcloud_mcp_server.vector.queue.procrastinate as pq
from nextcloud_mcp_server.document_processors.escalation import (
TIER_LADDER,
BatchPending,
EscalateError,
next_tier,
)
pytestmark = pytest.mark.unit
def _job(queue: str = pq.INGEST_QUEUE_FAST, attempts: int = 1) -> Job:
return Job(
id=1,
queue=queue,
task_name=pq.INGEST_TASK_NAME,
lock=None,
queueing_lock=None,
attempts=attempts,
)
class TestLadder:
def test_next_tier_ordering(self):
assert next_tier("fast") == "structured"
assert next_tier("structured") == "ocr-incluster"
assert next_tier("ocr-incluster") == "ocr-upstream"
assert next_tier("ocr-upstream") is None # terminal
assert next_tier("unknown") is None
def test_ladder_is_cheapest_first(self):
assert TIER_LADDER == ("fast", "structured", "ocr-incluster", "ocr-upstream")
def test_tier_for_queue(self):
assert pq.tier_for_queue(pq.INGEST_QUEUE_OCR_INCLUSTER) == "ocr-incluster"
assert pq.tier_for_queue(pq.INGEST_QUEUE_OCR_UPSTREAM) == "ocr-upstream"
assert pq.tier_for_queue(pq.INGEST_QUEUE_STRUCTURED) == "structured"
# Legacy / unknown / None all fall back to the cheapest tier.
assert pq.tier_for_queue(pq.LEGACY_INGEST_QUEUE) == "fast"
assert pq.tier_for_queue(None) == "fast"
# The pre-split legacy OCR queue also resolves to fast (NOT ocr-upstream):
# stranded in-flight jobs re-extract empty and re-escalate via the ladder
# to the cheap ocr-incluster rung, never straight to paid upstream.
assert pq.tier_for_queue(pq.LEGACY_INGEST_QUEUE_OCR) == "fast"
class TestTieredEscalationStrategy:
def _strategy(self, max_transient: int = 5):
return pq.TieredEscalationStrategy(max_transient_attempts=max_transient)
def test_escalate_hops_to_target_queue(self):
exc = EscalateError(
from_tier="fast", to_tier="ocr-upstream", reason="empty_text"
)
decision = self._strategy().get_retry_decision(exception=exc, job=_job())
assert decision is not None
assert decision.queue == pq.INGEST_QUEUE_OCR_UPSTREAM
def test_escalate_hops_to_incluster_queue(self):
# tier2 in-cluster (Deck #353): structured -> ocr-incluster lands on the
# in-cluster queue the GPU sentinel watches, not the paid upstream queue.
exc = EscalateError(
from_tier="structured", to_tier="ocr-incluster", reason="empty_text"
)
decision = self._strategy().get_retry_decision(exception=exc, job=_job())
assert decision is not None
assert decision.queue == pq.INGEST_QUEUE_OCR_INCLUSTER
def test_escalate_to_structured(self):
exc = EscalateError(
from_tier="fast", to_tier="structured", reason="low_confidence"
)
decision = self._strategy().get_retry_decision(exception=exc, job=_job())
assert decision is not None
assert decision.queue == pq.INGEST_QUEUE_STRUCTURED
def test_escalate_unknown_tier_gives_up(self):
exc = EscalateError(from_tier="ocr", to_tier="bogus", reason="low_confidence")
decision = self._strategy().get_retry_decision(exception=exc, job=_job())
assert decision is None
def test_escalate_unwraps_exception_group(self):
exc = EscalateError(
from_tier="fast", to_tier="ocr-upstream", reason="empty_text"
)
group = ExceptionGroup("wrapped", [exc])
decision = self._strategy().get_retry_decision(exception=group, job=_job())
assert decision is not None
assert decision.queue == pq.INGEST_QUEUE_OCR_UPSTREAM
def test_transient_retries_same_queue_under_cap(self):
decision = self._strategy(max_transient=5).get_retry_decision(
exception=httpx.ConnectError("refused"), job=_job(attempts=1)
)
assert decision is not None
# Same-tier retry: no queue override (stays on its current queue).
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.
# procrastinate sets retry_at = utcnow() + wait at call time. Bracketing
# the call with before/after makes the assertion exact and independent of
# runner load: with before <= call_now <= after, we have
# (retry_at - after) <= wait <= (retry_at - before).
strat = self._strategy(max_transient=100)
for attempts, expected in [(1, 4), (2, 8), (3, 16), (4, 32), (20, 300)]:
before = datetime.now(timezone.utc)
decision = strat.get_retry_decision(
exception=httpx.ConnectError("x"), job=_job(attempts=attempts)
)
after = datetime.now(timezone.utc)
assert decision is not None and decision.retry_at is not None
lo = (decision.retry_at - after).total_seconds()
hi = (decision.retry_at - before).total_seconds()
assert lo <= expected <= hi, (
f"attempts={attempts}: expected={expected}s not in [{lo:.3f}, {hi:.3f}]"
)
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)
)
assert decision is None
def test_non_transient_error_gives_up(self):
decision = self._strategy().get_retry_decision(
exception=ValueError("permanent"), job=_job(attempts=1)
)
assert decision is None
def test_batch_pending_defers_same_queue(self):
# Batch OCR re-poll (Deck #332): same-queue deferral after retry_in.
before = datetime.now(timezone.utc)
decision = self._strategy().get_retry_decision(
exception=BatchPending(retry_in=120),
job=_job(queue=pq.INGEST_QUEUE_OCR_UPSTREAM),
)
after = datetime.now(timezone.utc)
assert decision is not None
assert decision.queue is None # stays on its own tier queue
assert decision.retry_at is not None
lo = (decision.retry_at - after).total_seconds()
hi = (decision.retry_at - before).total_seconds()
assert lo <= 120 <= hi
def test_batch_pending_exempt_from_transient_cap(self):
# A batch can take hours -> many polls; the transient cap must NOT stop it
# (the OCR processor's own deadline terminates a stuck job instead).
decision = self._strategy(max_transient=5).get_retry_decision(
exception=BatchPending(retry_in=60), job=_job(attempts=999)
)
assert decision is not None and decision.retry_at is not None
def test_batch_pending_unwraps_exception_group(self):
group = ExceptionGroup("wrapped", [BatchPending(retry_in=60)])
decision = self._strategy().get_retry_decision(exception=group, job=_job())
assert decision is not None and decision.retry_at is not None