feat: Phase 5F/5G/5H — graduation, conflicts, MCP engineering tools

The population move + the safety net + the universal consumer hookup,
all shipped together. This is where the engineering graph becomes
genuinely useful against the real 262-memory corpus.

5F: Memory → Entity graduation (THE population move)
- src/atocore/engineering/_graduation_prompt.py: stdlib-only shared
  prompt module mirroring _llm_prompt.py pattern (container + host
  use same system prompt, no drift)
- scripts/graduate_memories.py: host-side batch driver that asks
  claude-p "does this memory describe a typed entity?" and creates
  entity candidates with source_refs pointing back to the memory
- promote_entity() now scans source_refs for memory:* prefix; if
  found, flips source memory to status='graduated' with
  graduated_to_entity_id forward pointer + writes memory_audit row
- GET /admin/graduation/stats exposes graduation rate for dashboard

5G: Sync conflict detection on entity promote
- src/atocore/engineering/conflicts.py: detect_conflicts_for_entity()
  runs on every active promote. V1 checks 3 slot kinds narrowly to
  avoid false positives:
  * component.material (multiple USES_MATERIAL edges)
  * component.part_of (multiple PART_OF edges)
  * requirement.name (duplicate active Requirements in same project)
- Conflicts + members persist via the tables built in 5A
- Fires a "warning" alert via Phase 4 framework
- Deduplicates: same (slot_kind, slot_key) won't get a new row
- resolve_conflict(action="dismiss|supersede_others|no_action"):
  supersede_others marks non-winner members as status='superseded'
- GET /admin/conflicts + POST /admin/conflicts/{id}/resolve

5H: MCP + context pack integration
- scripts/atocore_mcp.py: 7 new engineering tools exposed to every
  MCP-aware client (Claude Desktop, Claude Code, Cursor, Zed):
  * atocore_engineering_map (Q-001/004 system tree)
  * atocore_engineering_gaps (Q-006/009/011 killer queries — THE
    director's question surfaced as a built-in tool)
  * atocore_engineering_requirements_for_component (Q-005)
  * atocore_engineering_decisions (Q-008)
  * atocore_engineering_changes (Q-013 — reads entity audit log)
  * atocore_engineering_impact (Q-016 BFS downstream)
  * atocore_engineering_evidence (Q-017 inbound provenance)
- MCP tools total: 14 (7 memory/state/health + 7 engineering)
- context/builder.py _build_engineering_context now appends a compact
  gaps summary ("Gaps: N orphan reqs, M risky decisions, K unsupported
  claims") so every project-scoped LLM call sees "what we're missing"

Tests: 341 → 356 (15 new):
- 5F: graduation prompt parses positive/negative decisions, rejects
  unknown entity types, tolerates markdown fences; promote_entity
  marks source memory graduated with forward pointer; entity without
  memory refs promotes cleanly
- 5G: component.material + component.part_of + requirement.name
  conflicts detected; clean component triggers nothing; dedup works;
  supersede_others resolution marks losers; dismiss leaves both
  active; end-to-end promote triggers detection
- 5H: graduation user message includes project + type + content

No regressions across the 341 prior tests. The MCP server now answers
"which p05 requirements aren't satisfied?" directly from any Claude
session — no user prompt engineering, no context hacks.

Next to kick off from user: run graduation script on Dalidou to
populate the graph from 262 existing memories:
  ssh papa@dalidou 'cd /srv/storage/atocore/app && PYTHONPATH=src \
    python3 scripts/graduate_memories.py --project p05-interferometer --limit 30 --dry-run'

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
2026-04-17 07:53:03 -04:00
parent 53b71639ad
commit 3316ff99f9
8 changed files with 1425 additions and 7 deletions

View File

@@ -1327,6 +1327,62 @@ def api_list_entities(
}
@router.get("/admin/conflicts")
def api_list_conflicts(project: str | None = None) -> dict:
"""Phase 5G: list open entity conflicts (optionally scoped to a project)."""
from atocore.engineering.conflicts import list_open_conflicts
conflicts = list_open_conflicts(project=project)
return {"conflicts": conflicts, "count": len(conflicts)}
class ConflictResolveRequest(BaseModel):
action: str # dismiss|supersede_others|no_action
winner_id: str | None = None
@router.post("/admin/conflicts/{conflict_id}/resolve")
def api_resolve_conflict(conflict_id: str, req: ConflictResolveRequest) -> dict:
"""Resolve a conflict. Options: dismiss, supersede_others (needs winner_id), no_action."""
from atocore.engineering.conflicts import resolve_conflict
try:
success = resolve_conflict(
conflict_id=conflict_id,
action=req.action,
winner_id=req.winner_id,
actor="api-http",
)
except ValueError as e:
raise HTTPException(status_code=400, detail=str(e))
if not success:
raise HTTPException(status_code=404, detail=f"Conflict not found or already resolved: {conflict_id}")
return {"status": "resolved", "id": conflict_id, "action": req.action}
@router.get("/admin/graduation/stats")
def api_graduation_stats() -> dict:
"""Phase 5F graduation stats for dashboard."""
from atocore.models.database import get_connection
with get_connection() as conn:
total_memories = int(conn.execute("SELECT COUNT(*) FROM memories WHERE status = 'active'").fetchone()[0])
graduated = int(conn.execute("SELECT COUNT(*) FROM memories WHERE status = 'graduated'").fetchone()[0])
entity_candidates_from_mem = int(conn.execute(
"SELECT COUNT(*) FROM entities WHERE status = 'candidate' "
"AND source_refs LIKE '%memory:%'"
).fetchone()[0])
active_entities = int(conn.execute("SELECT COUNT(*) FROM entities WHERE status = 'active'").fetchone()[0])
return {
"active_memories": total_memories,
"graduated_memories": graduated,
"entity_candidates_from_memories": entity_candidates_from_mem,
"active_entities": active_entities,
"graduation_rate": (
graduated / (total_memories + graduated) if (total_memories + graduated) > 0 else 0.0
),
}
# --- Phase 5 Engineering V1: The 10 canonical queries ---

View File

@@ -508,6 +508,23 @@ def _build_engineering_context(
f" {direction} {rel.relationship_type} [{other.entity_type}] {other.name}"
)
# Phase 5H: append a compact gaps summary so the LLM always sees
# "what we're currently missing" alongside the entity neighborhood.
# This is the director's most-used insight — orphan requirements,
# risky decisions, unsupported claims — surfaced in every context pack
# for project-scoped queries.
try:
from atocore.engineering.queries import all_gaps as _all_gaps
gaps = _all_gaps(project)
orphan_n = gaps["orphan_requirements"]["count"]
risky_n = gaps["risky_decisions"]["count"]
unsup_n = gaps["unsupported_claims"]["count"]
if orphan_n or risky_n or unsup_n:
lines.append("")
lines.append(f"Gaps: {orphan_n} orphan reqs, {risky_n} risky decisions, {unsup_n} unsupported claims")
except Exception:
pass
lines.append("--- End Engineering Context ---")
text = "\n".join(lines)

View File

@@ -0,0 +1,194 @@
"""Shared LLM prompt for memory → entity graduation (Phase 5F).
Mirrors the pattern of ``atocore.memory._llm_prompt``: stdlib-only so both
the container extractor path and the host-side graduate_memories.py script
use the same system prompt and parser, eliminating drift.
Graduation asks: "does this active memory describe a TYPED engineering entity
that belongs in the knowledge graph?" If yes, produce an entity candidate
with type + name + description + zero-or-more relationship hints. If no,
return null so the memory stays as-is.
Design note: we DON'T ask the LLM to resolve targets of relationships (e.g.,
"connect to Subsystem 'Optics'"). That's done in a second pass after human
review — partly to keep this prompt cheap, partly because name-matching
targets across projects is a hard problem worth its own pass.
"""
from __future__ import annotations
import json
from typing import Any
GRADUATION_PROMPT_VERSION = "graduate-0.1.0"
MAX_CONTENT_CHARS = 1500
ENTITY_TYPES = {
"project",
"system",
"subsystem",
"component",
"interface",
"requirement",
"constraint",
"decision",
"material",
"parameter",
"analysis_model",
"result",
"validation_claim",
"vendor",
"process",
}
SYSTEM_PROMPT = """You are a knowledge-graph curator for an engineering firm's context system (AtoCore).
Your job: given one active MEMORY (a curated fact about an engineering project), decide whether it describes a TYPED engineering entity that belongs in the structured graph. If yes, emit the entity candidate. If no, return null.
A memory gets graduated when its content names a specific thing that has lifecycle, relationships, or cross-references in engineering work. A memory stays as-is when it's a general observation, preference, or loose context.
ENTITY TYPES (choose the best fit):
- project — a named project (usually already registered; rare to emit)
- subsystem — a named chunk of a system with defined boundaries (e.g., "Primary Optics", "Cable Tensioning", "Motion Control")
- component — a discrete physical or logical part (e.g., "Primary Mirror", "Pivot Pin", "Z-axis Servo Drive")
- interface — a named boundary between two subsystems/components (e.g., "Mirror-to-Cell mounting interface")
- requirement — a "must" or "shall" statement (e.g., "Surface figure < 25nm RMS")
- constraint — a non-negotiable limit (e.g., "Thermal operating range 0-40°C")
- decision — a committed design direction (e.g., "Selected Zerodur over ULE for primary blank")
- material — a named material used in a component (e.g., "Zerodur", "Invar 36")
- parameter — a specific named value or assumption (e.g., "Ambient temperature 22°C", "Lead time 6 weeks")
- analysis_model — a named FEA / optical / thermal model (e.g., "Preston wear model v2")
- result — a named measurement or simulation output (e.g., "FEA thermal sweep 2026-03")
- validation_claim — an asserted claim to be backed by evidence (e.g., "Margin is adequate for full envelope")
- vendor — a supplier / partner entity (e.g., "Schott AG", "ABB Space", "Nabeel")
- process — a named workflow step (e.g., "Ion beam figuring pass", "Incoming inspection")
- system — whole project's system envelope (rare; usually project handles this)
WHEN TO GRADUATE:
GRADUATE if the memory clearly names one of these entities with enough detail to be useful. Examples:
- "Selected Zerodur for the p04 primary mirror blank" → 2 entities: decision(name="Select Zerodur for primary blank") + material(name="Zerodur")
- "ABB Space (INO) is the polishing vendor for p04" → vendor(name="ABB Space")
- "Surface figure target is < 25nm RMS after IBF" → requirement(name="Surface figure < 25nm RMS after IBF")
- "The Preston model assumes 5N min contact pressure" → parameter(name="Preston min contact pressure = 5N")
DON'T GRADUATE if the memory is:
- A preference or work-style note (those stay as memories)
- A session observation ("we tested X today") — no durable typed thing
- A general insight / rule of thumb ("Always calibrate before measuring")
- An OpenClaw MEMORY.md import of conversational history
- Something where you can't pick a clear entity type with confidence
OUTPUT FORMAT — exactly one JSON object:
If graduating, emit:
{
"graduate": true,
"entity_type": "component|requirement|decision|...",
"name": "short noun phrase, <60 chars",
"description": "one-sentence description that adds context beyond the name",
"confidence": 0.0-1.0,
"relationships": [
{"rel_type": "part_of|satisfies|uses_material|based_on_assumption|constrained_by|affected_by_decision|supports|evidenced_by|described_by", "target_hint": "name of the target entity (human will resolve)"}
]
}
If not graduating, emit:
{"graduate": false, "reason": "one-sentence reason"}
Rules:
- Output ONLY the JSON object, no markdown, no prose
- name MUST be <60 chars and specific; reject vague names like "the system"
- confidence: 0.6-0.7 is typical. Raise to 0.8+ only if the memory is very specific and unambiguous.
- relationships array can be empty
- target_hint is a free-text name; the human-review stage will resolve it to an actual entity id (or reject if the target doesn't exist yet)
- If the memory describes MULTIPLE entities, pick the single most important one; a second pass can catch the others
"""
def build_user_message(memory_content: str, memory_project: str, memory_type: str) -> str:
return (
f"MEMORY PROJECT: {memory_project or '(unscoped)'}\n"
f"MEMORY TYPE: {memory_type}\n\n"
f"MEMORY CONTENT:\n{memory_content[:MAX_CONTENT_CHARS]}\n\n"
"Return the JSON decision now."
)
def parse_graduation_output(raw: str) -> dict[str, Any] | None:
"""Parse the LLM's graduation decision. Return None on any parse error.
On success returns the normalized decision dict with keys:
graduate (bool), entity_type (str), name (str), description (str),
confidence (float), relationships (list of {rel_type, target_hint})
OR {"graduate": false, "reason": "..."}
"""
text = (raw or "").strip()
if not text:
return None
if text.startswith("```"):
text = text.strip("`")
nl = text.find("\n")
if nl >= 0:
text = text[nl + 1:]
if text.endswith("```"):
text = text[:-3]
text = text.strip()
# Tolerate leading prose
if not text.lstrip().startswith("{"):
start = text.find("{")
end = text.rfind("}")
if start >= 0 and end > start:
text = text[start:end + 1]
try:
parsed = json.loads(text)
except json.JSONDecodeError:
return None
if not isinstance(parsed, dict):
return None
graduate = bool(parsed.get("graduate", False))
if not graduate:
return {"graduate": False, "reason": str(parsed.get("reason", ""))[:200]}
entity_type = str(parsed.get("entity_type") or "").strip().lower()
if entity_type not in ENTITY_TYPES:
return None
name = str(parsed.get("name") or "").strip()
if not name or len(name) > 120:
return None
description = str(parsed.get("description") or "").strip()[:500]
try:
confidence = float(parsed.get("confidence", 0.6))
except (TypeError, ValueError):
confidence = 0.6
confidence = max(0.0, min(1.0, confidence))
raw_rels = parsed.get("relationships") or []
if not isinstance(raw_rels, list):
raw_rels = []
relationships: list[dict] = []
for r in raw_rels[:10]:
if not isinstance(r, dict):
continue
rtype = str(r.get("rel_type") or "").strip().lower()
target = str(r.get("target_hint") or "").strip()
if not rtype or not target:
continue
relationships.append({"rel_type": rtype, "target_hint": target[:120]})
return {
"graduate": True,
"entity_type": entity_type,
"name": name,
"description": description,
"confidence": confidence,
"relationships": relationships,
}

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@@ -0,0 +1,291 @@
"""Phase 5G — Conflict detection on entity promote.
When a candidate entity is promoted to active, we check whether another
active entity is already claiming the "same slot" with an incompatible
value. If so, we emit a conflicts row + conflict_members rows so the
human can resolve.
Slot keys are per-entity-type (from ``conflict-model.md``). V1 starts
narrow with 3 slot kinds to avoid false positives:
1. **component.material** — a component should normally have ONE
dominant material (via USES_MATERIAL edge). Two active USES_MATERIAL
edges from the same component pointing at different materials =
conflict.
2. **component.part_of** — a component should belong to AT MOST one
subsystem (via PART_OF). Two active PART_OF edges = conflict.
3. **requirement.value** — two active Requirements with the same name in
the same project but different descriptions = conflict.
Rule: **flag, never block**. The promote succeeds; the conflict row is
just a flag for the human. Users see conflicts in the dashboard and on
wiki entity pages with a "⚠️ Disputed" badge.
"""
from __future__ import annotations
import uuid
from datetime import datetime, timezone
from atocore.models.database import get_connection
from atocore.observability.logger import get_logger
log = get_logger("conflicts")
def detect_conflicts_for_entity(entity_id: str) -> list[str]:
"""Run conflict detection for a newly-promoted active entity.
Returns a list of conflict_ids created. Fail-open: any detection error
is logged and returns an empty list; the promote itself is not affected.
"""
try:
with get_connection() as conn:
row = conn.execute(
"SELECT * FROM entities WHERE id = ? AND status = 'active'",
(entity_id,),
).fetchone()
if row is None:
return []
created: list[str] = []
etype = row["entity_type"]
project = row["project"] or ""
if etype == "component":
created.extend(_check_component_conflicts(entity_id, project))
elif etype == "requirement":
created.extend(_check_requirement_conflicts(entity_id, row["name"], project))
return created
except Exception as e:
log.warning("conflict_detection_failed", entity_id=entity_id, error=str(e))
return []
def _check_component_conflicts(component_id: str, project: str) -> list[str]:
"""Check material + part_of slot uniqueness for a component."""
created: list[str] = []
with get_connection() as conn:
# component.material conflicts
mat_edges = conn.execute(
"SELECT r.id AS rel_id, r.target_entity_id, e.name "
"FROM relationships r "
"JOIN entities e ON e.id = r.target_entity_id "
"WHERE r.source_entity_id = ? AND r.relationship_type = 'uses_material' "
"AND e.status = 'active'",
(component_id,),
).fetchall()
if len(mat_edges) > 1:
cid = _record_conflict(
slot_kind="component.material",
slot_key=component_id,
project=project,
note=f"component has {len(mat_edges)} active material edges",
members=[
{
"kind": "entity",
"id": m["target_entity_id"],
"snapshot": m["name"],
}
for m in mat_edges
],
)
if cid:
created.append(cid)
# component.part_of conflicts
pof_edges = conn.execute(
"SELECT r.id AS rel_id, r.target_entity_id, e.name "
"FROM relationships r "
"JOIN entities e ON e.id = r.target_entity_id "
"WHERE r.source_entity_id = ? AND r.relationship_type = 'part_of' "
"AND e.status = 'active'",
(component_id,),
).fetchall()
if len(pof_edges) > 1:
cid = _record_conflict(
slot_kind="component.part_of",
slot_key=component_id,
project=project,
note=f"component is part_of {len(pof_edges)} subsystems",
members=[
{
"kind": "entity",
"id": p["target_entity_id"],
"snapshot": p["name"],
}
for p in pof_edges
],
)
if cid:
created.append(cid)
return created
def _check_requirement_conflicts(requirement_id: str, name: str, project: str) -> list[str]:
"""Two active Requirements with the same name in the same project."""
with get_connection() as conn:
peers = conn.execute(
"SELECT id, description FROM entities "
"WHERE entity_type = 'requirement' AND status = 'active' "
"AND project = ? AND LOWER(name) = LOWER(?) AND id != ?",
(project, name, requirement_id),
).fetchall()
if not peers:
return []
members = [{"kind": "entity", "id": requirement_id, "snapshot": name}]
for p in peers:
members.append({"kind": "entity", "id": p["id"],
"snapshot": (p["description"] or "")[:200]})
cid = _record_conflict(
slot_kind="requirement.name",
slot_key=f"{project}|{name.lower()}",
project=project,
note=f"{len(peers)+1} active requirements share the name '{name}'",
members=members,
)
return [cid] if cid else []
def _record_conflict(
slot_kind: str,
slot_key: str,
project: str,
note: str,
members: list[dict],
) -> str | None:
"""Persist a conflict + its members; skip if an open conflict already
exists for the same (slot_kind, slot_key)."""
try:
with get_connection() as conn:
existing = conn.execute(
"SELECT id FROM conflicts WHERE slot_kind = ? AND slot_key = ? "
"AND status = 'open'",
(slot_kind, slot_key),
).fetchone()
if existing:
return None # don't dup
conflict_id = str(uuid.uuid4())
conn.execute(
"INSERT INTO conflicts (id, slot_kind, slot_key, project, "
"status, note) VALUES (?, ?, ?, ?, 'open', ?)",
(conflict_id, slot_kind, slot_key, project, note[:500]),
)
for m in members:
conn.execute(
"INSERT INTO conflict_members (id, conflict_id, member_kind, "
"member_id, value_snapshot) VALUES (?, ?, ?, ?, ?)",
(str(uuid.uuid4()), conflict_id,
m.get("kind", "entity"), m.get("id", ""),
(m.get("snapshot") or "")[:500]),
)
log.info("conflict_detected", conflict_id=conflict_id,
slot_kind=slot_kind, project=project)
# Emit a warning alert so the operator sees it
try:
from atocore.observability.alerts import emit_alert
emit_alert(
severity="warning",
title=f"Entity conflict: {slot_kind}",
message=note,
context={"project": project, "slot_key": slot_key,
"member_count": len(members)},
)
except Exception:
pass
return conflict_id
except Exception as e:
log.warning("conflict_record_failed", error=str(e))
return None
def list_open_conflicts(project: str | None = None) -> list[dict]:
"""Return open conflicts with their members."""
with get_connection() as conn:
query = "SELECT * FROM conflicts WHERE status = 'open'"
params: list = []
if project:
query += " AND project = ?"
params.append(project)
query += " ORDER BY detected_at DESC"
rows = conn.execute(query, params).fetchall()
conflicts = []
for r in rows:
member_rows = conn.execute(
"SELECT * FROM conflict_members WHERE conflict_id = ?",
(r["id"],),
).fetchall()
conflicts.append({
"id": r["id"],
"slot_kind": r["slot_kind"],
"slot_key": r["slot_key"],
"project": r["project"] or "",
"status": r["status"],
"note": r["note"] or "",
"detected_at": r["detected_at"],
"members": [
{
"id": m["id"],
"member_kind": m["member_kind"],
"member_id": m["member_id"],
"snapshot": m["value_snapshot"] or "",
}
for m in member_rows
],
})
return conflicts
def resolve_conflict(
conflict_id: str,
action: str, # "dismiss", "supersede_others", "no_action"
winner_id: str | None = None,
actor: str = "api",
) -> bool:
"""Resolve a conflict. Optionally marks non-winner members as superseded."""
if action not in ("dismiss", "supersede_others", "no_action"):
raise ValueError(f"Invalid action: {action}")
now = datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M:%S")
with get_connection() as conn:
row = conn.execute(
"SELECT * FROM conflicts WHERE id = ?", (conflict_id,)
).fetchone()
if row is None or row["status"] != "open":
return False
if action == "supersede_others":
if not winner_id:
raise ValueError("winner_id required for supersede_others")
# Mark non-winner member entities as superseded
member_rows = conn.execute(
"SELECT member_id FROM conflict_members WHERE conflict_id = ?",
(conflict_id,),
).fetchall()
for m in member_rows:
if m["member_id"] != winner_id:
conn.execute(
"UPDATE entities SET status = 'superseded', updated_at = ? "
"WHERE id = ? AND status = 'active'",
(now, m["member_id"]),
)
conn.execute(
"UPDATE conflicts SET status = 'resolved', resolution = ?, "
"resolved_at = ? WHERE id = ?",
(action, now, conflict_id),
)
log.info("conflict_resolved", conflict_id=conflict_id,
action=action, actor=actor)
return True

View File

@@ -334,14 +334,85 @@ def _set_entity_status(
def promote_entity(entity_id: str, actor: str = "api", note: str = "") -> bool:
"""Promote a candidate entity to active."""
with get_connection() as conn:
row = conn.execute(
"SELECT status FROM entities WHERE id = ?", (entity_id,)
).fetchone()
if row is None or row["status"] != "candidate":
"""Promote a candidate entity to active.
Phase 5F graduation hook: if this entity has source_refs pointing at
memories (format "memory:<uuid>"), mark those source memories as
``status=graduated`` and set their ``graduated_to_entity_id`` forward
pointer. This preserves the memory as an immutable historical record
while signalling that it's been absorbed into the typed graph.
"""
entity = get_entity(entity_id)
if entity is None or entity.status != "candidate":
return False
return _set_entity_status(entity_id, "active", actor=actor, note=note)
ok = _set_entity_status(entity_id, "active", actor=actor, note=note)
if not ok:
return False
# Phase 5F: mark source memories as graduated
memory_ids = [
ref.split(":", 1)[1]
for ref in (entity.source_refs or [])
if isinstance(ref, str) and ref.startswith("memory:")
]
if memory_ids:
_graduate_source_memories(memory_ids, entity_id, actor=actor)
# Phase 5G: sync conflict detection on promote. Fail-open — detection
# errors log but never undo the successful promote.
try:
from atocore.engineering.conflicts import detect_conflicts_for_entity
detect_conflicts_for_entity(entity_id)
except Exception as e:
log.warning("conflict_detection_failed", entity_id=entity_id, error=str(e))
return True
def _graduate_source_memories(memory_ids: list[str], entity_id: str, actor: str) -> None:
"""Mark source memories as graduated and set forward pointer."""
if not memory_ids:
return
now = datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M:%S")
with get_connection() as conn:
for mid in memory_ids:
try:
row = conn.execute(
"SELECT status FROM memories WHERE id = ?", (mid,)
).fetchone()
if row is None:
continue
old_status = row["status"]
if old_status == "graduated":
continue # already graduated — maybe by a different entity
conn.execute(
"UPDATE memories SET status = 'graduated', "
"graduated_to_entity_id = ?, updated_at = ? WHERE id = ?",
(entity_id, now, mid),
)
# Write a memory_audit row for the graduation
conn.execute(
"INSERT INTO memory_audit (id, memory_id, action, actor, "
"before_json, after_json, note, entity_kind) "
"VALUES (?, ?, 'graduated', ?, ?, ?, ?, 'memory')",
(
str(uuid.uuid4()),
mid,
actor or "api",
json.dumps({"status": old_status}),
json.dumps({
"status": "graduated",
"graduated_to_entity_id": entity_id,
}),
f"graduated to entity {entity_id[:8]}",
),
)
log.info("memory_graduated", memory_id=mid,
entity_id=entity_id, old_status=old_status)
except Exception as e:
log.warning("memory_graduation_failed",
memory_id=mid, entity_id=entity_id, error=str(e))
def reject_entity_candidate(entity_id: str, actor: str = "api", note: str = "") -> bool: