fix(memory): Wave 1 — SQL-aggregate dashboard counts + memory write-path fixes
Closes three live-affecting bugs surfaced by the 2026-04-29 Codex review,
all in the memory write/read path. Pre-deploy on Dalidou the live
discrepancy was dashboard.memories.active=315 vs integrity active=1091.
1. /admin/dashboard counts now SQL-aggregate (no sampling).
New get_memory_count_summary() helper. Dashboard memories.{active,
candidates,by_type,by_project,reinforced,by_status,total} all derive
from full-table SQL, not a confidence-sorted limit=500 sample. Post
deploy the dashboard active count must match the integrity panel.
2. PUT /memory/{id} accepts project; auto-triage now applies it.
Added project to MemoryUpdateRequest and update_memory() with
resolve_project_name canonicalization, before/after audit, and
duplicate-active check scoped to the new project. scripts/auto_triage.py
suggested-project correction now PUTs {"project": suggested} so
misattribution flags actually retarget the memory.
3. POST /memory/{id}/invalidate uses direct id lookup.
New get_memory(id) helper. Replaces the old
_get_memories(status="active", limit=1) lookup, which only saw the
highest-confidence active row. Active memories outside slot 0 no
longer 404. Same status-guard structure applied to
POST /memory/{id}/supersede so candidates can't silently flip to
superseded.
14 regression tests added (572 -> 586 locally). Reviewed by Codex twice:
verdict GO on tip 9604c3e.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
@@ -575,3 +575,121 @@ def test_expire_stale_candidates_keeps_reinforced(isolated_db):
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assert mid not in expired
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mem = _get_memory_by_id(mid)
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assert mem["status"] == "candidate"
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# ---------------------------------------------------------------------------
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# Wave 1 (2026-04-29) — counts come from SQL, not from the top-N sample.
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# Exposed by Codex audit when prod /admin/dashboard reported 315 active
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# while /admin/integrity-check reported 1091. The dashboard was building
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# its counts from a confidence-sorted limit=500 fetch.
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# ---------------------------------------------------------------------------
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def test_get_memory_count_summary_returns_full_table_aggregates(isolated_db):
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"""Counts come from SQL aggregates, not a sampled fetch."""
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from atocore.memory.service import (
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create_memory,
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get_memory_count_summary,
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invalidate_memory,
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)
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# Create more rows than any reasonable sampling LIMIT so any
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# LIMIT-based counter would visibly disagree with reality.
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for i in range(120):
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create_memory(
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"knowledge",
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f"fact-{i}",
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project="p04-gigabit",
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confidence=0.9,
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status="active",
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)
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for i in range(7):
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create_memory("knowledge", f"cand-{i}", status="candidate")
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invalid_obj = create_memory("knowledge", "to-invalidate", status="active")
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invalidate_memory(invalid_obj.id)
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summary = get_memory_count_summary()
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assert summary["total"] == 120 + 7 + 1
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assert summary["by_status"]["active"] == 120
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assert summary["by_status"]["candidate"] == 7
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assert summary["by_status"]["invalid"] == 1
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assert summary["active"]["total"] == 120
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assert summary["active"]["by_type"] == {"knowledge": 120}
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assert summary["active"]["by_project"] == {"p04-gigabit": 120}
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def test_get_memory_returns_single_row_or_none(isolated_db):
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from atocore.memory.service import create_memory, get_memory
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mem = create_memory("knowledge", "single-row test")
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fetched = get_memory(mem.id)
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assert fetched is not None
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assert fetched.id == mem.id
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assert get_memory("non-existent-id") is None
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def test_update_memory_can_change_project_with_canonicalization(
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isolated_db, project_registry
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):
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"""update_memory(project=...) canonicalizes aliases and writes audit."""
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project_registry(("p04-gigabit", ("p04", "gigabit")))
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from atocore.memory.service import (
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create_memory,
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get_memory,
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get_memory_audit,
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update_memory,
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)
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mem = create_memory("knowledge", "retargetable fact", project="atocore")
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ok = update_memory(mem.id, project="p04") # alias
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assert ok is True
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refreshed = get_memory(mem.id)
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assert refreshed.project == "p04-gigabit" # canonical, not "p04"
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audit_rows = get_memory_audit(mem.id, limit=10)
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update_rows = [r for r in audit_rows if r.get("action") == "updated"]
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assert update_rows, f"expected an updated audit row, got {audit_rows}"
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head = update_rows[0]
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assert head["before"]["project"] == "atocore"
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assert head["after"]["project"] == "p04-gigabit"
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def test_update_memory_project_unchanged_when_not_passed(isolated_db):
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from atocore.memory.service import create_memory, get_memory, update_memory
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mem = create_memory("knowledge", "untouched project", project="p06-polisher")
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update_memory(mem.id, content="edited content")
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assert get_memory(mem.id).project == "p06-polisher"
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def test_update_memory_to_empty_project_detects_global_duplicate(isolated_db):
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"""Codex P3: when retargeting to project='' (global), the duplicate
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check must scope to the new project. If a global active memory with
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the same content already exists, the update must raise."""
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import pytest as _pytest
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from atocore.memory.service import create_memory, update_memory
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create_memory("knowledge", "shared global fact", project="")
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scoped = create_memory("knowledge", "shared global fact", project="p04-gigabit")
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with _pytest.raises(ValueError, match="duplicate active memory"):
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update_memory(scoped.id, project="")
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def test_auto_triage_suggested_project_put_body_uses_project_key():
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"""Regression: the auto_triage caller used to PUT {"content": ...}
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which silently dropped the suggested project change. The fix sends
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{"project": suggested}. Inspect the script source so we don't have
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to spin up a live triage run."""
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from pathlib import Path
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src = Path(__file__).resolve().parents[1] / "scripts" / "auto_triage.py"
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text = src.read_text(encoding="utf-8")
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# The block that PUTs to /memory/{mid} for a suggested_project fix
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assert 'json.dumps({"project": suggested})' in text, (
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"auto_triage.py must PUT {\"project\": suggested} so the "
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"suggested-project correction actually applies. See Wave 1."
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)
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# And must not be back to the old shape
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assert 'json.dumps({"content": cand["content"]})' not in text
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