session-memory Phase 2: hub decision integration (T05)

decisions.py: every final promote/reject becomes a record_decision-shaped
payload (rationale + source key + evidence snapshot). DecisionRecorder degrades
gracefully under a hub outage — pluggable sink with a durable local-queue
fallback and ordered flush/replay (mirrors Phase 1's after-the-fact sync).
Wired into review() via an optional recorder. 6 new tests; suite 70/70 green.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
2026-06-07 00:31:22 +02:00
parent ab22d22bfb
commit 4b7a628b6f
4 changed files with 193 additions and 3 deletions

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@@ -0,0 +1,114 @@
"""State Hub decision integration (FR-U4; T05).
Every final promote/reject is recorded as an auditable decision so the rationale,
the source candidate key, and an evidence snapshot are traceable. The catalog
file remains the durable artifact (ADR-001); the decision is the audit trail.
The recorder is **graceful under a hub outage** — exactly the condition hit during
Phase 1, where statuses were synced after the fact. A pluggable ``sink`` does the
actual write (HTTP to the hub, or the MCP ``record_decision`` tool driven by the
operator). If the sink is absent or raises, the decision is appended to a local
queue (``decisions.queue.jsonl``) and can be replayed later with :meth:`flush`.
"""
from __future__ import annotations
import json
import os
from dataclasses import dataclass, field
from datetime import datetime, timezone
from typing import Callable, Optional
# A sink takes a hub-shaped decision payload and persists it (may raise on failure).
Sink = Callable[[dict], None]
def _now() -> str:
return datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
def build_decision(candidate: dict, action: str, rationale: str,
*, workstream_id: Optional[str] = None,
decided_by: str = "curator") -> dict:
"""Shape a curate decision as a State Hub ``record_decision`` payload."""
key = candidate["key"]
verb = "Promote" if action == "approve" else "Reject"
return {
"title": f"{verb} pattern candidate {key}",
"decision_type": "made",
"workstream_id": workstream_id,
"rationale": rationale,
"decided_by": decided_by,
"description": json.dumps({
"action": action,
"source_key": key,
"evidence": candidate,
}, sort_keys=True),
"recorded_at": _now(),
}
@dataclass
class DecisionRecorder:
"""Records decisions through ``sink`` with a durable local-queue fallback."""
queue_path: str
sink: Optional[Sink] = None
workstream_id: Optional[str] = None
decided_by: str = "curator"
_queued: int = field(default=0, init=False)
def record(self, candidate: dict, action: str, rationale: str) -> bool:
"""Record one decision. Returns True if the sink accepted it, else queued."""
payload = build_decision(candidate, action, rationale,
workstream_id=self.workstream_id, decided_by=self.decided_by)
if self.sink is not None:
try:
self.sink(payload)
return True
except Exception: # hub down / transient — fall through to the queue
pass
self._append(payload)
return False
def pending(self) -> list[dict]:
if not os.path.exists(self.queue_path):
return []
with open(self.queue_path, encoding="utf-8") as fh:
return [json.loads(line) for line in fh if line.strip()]
def flush(self, sink: Optional[Sink] = None) -> int:
"""Replay queued decisions through ``sink``. Returns count synced.
Stops at the first failure so ordering is preserved; the unsynced tail is
rewritten back to the queue.
"""
sink = sink or self.sink
if sink is None:
return 0
items = self.pending()
synced = 0
for i, payload in enumerate(items):
try:
sink(payload)
synced += 1
except Exception:
self._rewrite(items[i:])
return synced
self._rewrite([])
return synced
# --- internals ----------------------------------------------------------
def _append(self, payload: dict) -> None:
os.makedirs(os.path.dirname(self.queue_path) or ".", exist_ok=True)
with open(self.queue_path, "a", encoding="utf-8") as fh:
fh.write(json.dumps(payload, sort_keys=True))
fh.write("\n")
self._queued += 1
def _rewrite(self, items: list[dict]) -> None:
with open(self.queue_path, "w", encoding="utf-8") as fh:
for payload in items:
fh.write(json.dumps(payload, sort_keys=True))
fh.write("\n")

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@@ -22,6 +22,7 @@ from datetime import datetime, timezone
from typing import Callable, Optional
from .catalog import Catalog
from .decisions import DecisionRecorder
from .gating import GateConfig, evaluate
from .schema import Provenance, Resolution, Scope, SolutionPattern
@@ -119,13 +120,16 @@ class ReviewResult:
def review(candidates: list[dict], decide: Decider, catalog: Catalog,
log: ReviewLog, gate: Optional[GateConfig] = None) -> ReviewResult:
log: ReviewLog, gate: Optional[GateConfig] = None,
recorder: Optional[DecisionRecorder] = None) -> ReviewResult:
"""Run each candidate through ``decide``; promote approvals into ``catalog``.
When a ``gate`` (T04 evidence bar) is supplied, the promoted pattern's
``status``/``distribution_ready`` are set from the gate evaluation, so an
approved-but-thin candidate lands as ``provisional`` rather than
distribution-ready.
distribution-ready. When a ``recorder`` (T05) is supplied, each final
promote/reject is logged as an auditable hub decision (queued if the hub is
down).
"""
result = ReviewResult()
for cand in candidates:
@@ -149,4 +153,6 @@ def review(candidates: list[dict], decide: Decider, catalog: Catalog,
else:
raise ValueError(f"unknown review action {action!r}")
log.record(cand, action, rationale)
if recorder is not None:
recorder.record(cand, action, rationale)
return result

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@@ -0,0 +1,70 @@
"""Hub decision integration tests (T05): payload shape + graceful queue/flush."""
import os
import sys
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from session_memory.curate.catalog import Catalog # noqa: E402
from session_memory.curate.decisions import DecisionRecorder, build_decision # noqa: E402
from session_memory.curate.review import APPROVE, REJECT, ReviewLog, review # noqa: E402
def _candidate(key="success:clean_pass:outcome"):
return {"key": key, "frequency": 18, "sessions": ["a", "b"],
"cost_impact": 9.0, "cross_flavor": True, "flavors": ["claude", "grok"]}
def test_build_decision_payload_shape():
d = build_decision(_candidate(), "approve", "looks solid", workstream_id="ws-1")
assert d["decision_type"] == "made"
assert d["workstream_id"] == "ws-1"
assert "Promote" in d["title"]
assert d["rationale"] == "looks solid"
assert "success:clean_pass:outcome" in d["description"]
def test_sink_accepts_decision(tmp_path):
captured = []
rec = DecisionRecorder(str(tmp_path / "q.jsonl"), sink=captured.append)
assert rec.record(_candidate(), "approve", "ok") is True
assert rec.pending() == []
assert len(captured) == 1
def test_queues_when_sink_down(tmp_path):
def boom(_):
raise RuntimeError("hub down")
rec = DecisionRecorder(str(tmp_path / "q.jsonl"), sink=boom)
assert rec.record(_candidate(), "reject", "noise") is False
assert len(rec.pending()) == 1
def test_no_sink_defaults_to_queue(tmp_path):
rec = DecisionRecorder(str(tmp_path / "q.jsonl"))
rec.record(_candidate(), "approve", "ok")
assert len(rec.pending()) == 1
def test_flush_replays_queue(tmp_path):
rec = DecisionRecorder(str(tmp_path / "q.jsonl")) # offline -> queue
rec.record(_candidate("problem:abandoned:outcome"), "reject", "x")
rec.record(_candidate("success:clean_pass:outcome"), "approve", "y")
captured = []
assert rec.flush(sink=captured.append) == 2
assert rec.pending() == []
assert len(captured) == 2
def test_review_records_each_final_decision(tmp_path):
cat = Catalog(str(tmp_path / "catalog"))
log = ReviewLog(str(tmp_path / "reviews.jsonl"))
captured = []
rec = DecisionRecorder(str(tmp_path / "q.jsonl"), sink=captured.append, workstream_id="ws")
cands = [_candidate("success:clean_pass:outcome"), _candidate("problem:abandoned:outcome")]
review(cands, lambda c: (APPROVE if "success" in c["key"] else REJECT, "r"), cat, log,
recorder=rec)
assert len(captured) == 2
actions = sorted("Promote" in d["title"] for d in captured)
assert actions == [False, True]

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@@ -112,7 +112,7 @@ catalog stays lean and agent context budgets are protected. Knobs live in
```task
id: AGENTIC-WP-0004-T05
status: todo
status: done
priority: medium
state_hub_task_id: "449f12d4-fae0-450d-873f-143b3a570b5a"
```