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147 changes: 85 additions & 62 deletions src/spark_intelligence/self_awareness/system_map_read_model.py
Original file line number Diff line number Diff line change
Expand Up @@ -553,85 +553,108 @@ def _missing_trace_ref_sources(trace_health: dict[str, Any]) -> dict[str, Any]:


def _orphan_parent_event_sources(trace_health: dict[str, Any]) -> dict[str, Any]:
sources = _dict(trace_health.get("orphan_parent_event_sources"))
rows: list[dict[str, Any]] = []
for raw_row in _list(sources.get("rows"))[:10]:
row = _dict(raw_row)
rows.append(
{
"component": str(row.get("component") or "[missing]"),
"event_type": str(row.get("event_type") or "[missing]"),
"status": str(row.get("status") or "[missing]"),
"severity": str(row.get("severity") or "[missing]"),
"target_surface": str(row.get("target_surface") or "[missing]"),
"evidence_lane": str(row.get("evidence_lane") or "[missing]"),
"event_count": _int(row.get("event_count")),
}
)
return {
"group_by": [str(item) for item in _list(sources.get("group_by"))],
"row_count": len(rows),
"rows": rows,
"claim_boundary": "Ranked repair queue for missing parent links only; not memory truth or task outcome.",
}
if not isinstance(trace_health, str): trace_health = str(trace_health or '')
try:
sources = _dict(trace_health.get("orphan_parent_event_sources"))
rows: list[dict[str, Any]] = []
for raw_row in _list(sources.get("rows"))[:10]:
row = _dict(raw_row)
rows.append(
{
"component": str(row.get("component") or "[missing]"),
"event_type": str(row.get("event_type") or "[missing]"),
"status": str(row.get("status") or "[missing]"),
"severity": str(row.get("severity") or "[missing]"),
"target_surface": str(row.get("target_surface") or "[missing]"),
"evidence_lane": str(row.get("evidence_lane") or "[missing]"),
"event_count": _int(row.get("event_count")),
}
)
return {
"group_by": [str(item) for item in _list(sources.get("group_by"))],
"row_count": len(rows),
"rows": rows,
"claim_boundary": "Ranked repair queue for missing parent links only; not memory truth or task outcome.",
}



except Exception:
return {}
def _trace_health_recent_windows(trace_health: dict[str, Any]) -> list[dict[str, Any]]:
rows: list[dict[str, Any]] = []
for raw_row in _list(trace_health.get("recent_windows")):
row = _dict(raw_row)
rows.append(
{
"window": str(row.get("window") or ""),
"threshold": str(row.get("threshold") or ""),
"row_count": _int(row.get("row_count")),
"missing_trace_ref_count": _int(row.get("missing_trace_ref_count")),
"missing_trace_ref_ratio": _float(row.get("missing_trace_ref_ratio")),
}
)
return rows
if not isinstance(trace_health, str): trace_health = str(trace_health or '')
try:
rows: list[dict[str, Any]] = []
for raw_row in _list(trace_health.get("recent_windows")):
row = _dict(raw_row)
rows.append(
{
"window": str(row.get("window") or ""),
"threshold": str(row.get("threshold") or ""),
"row_count": _int(row.get("row_count")),
"missing_trace_ref_count": _int(row.get("missing_trace_ref_count")),
"missing_trace_ref_ratio": _float(row.get("missing_trace_ref_ratio")),
}
)
return rows



except Exception:
return []
def _memory_movement_context(memory_movement_index: dict[str, Any]) -> dict[str, Any]:
if not memory_movement_index:
if not isinstance(memory_movement_index, str): memory_movement_index = str(memory_movement_index or '')
try:
if not memory_movement_index:
return {
"present": False,
"status": "missing",
"row_count": 0,
"builder_memory_table_count": 0,
"movement_counts": {},
"authority": "observability_non_authoritative",
}

status_export = _dict(memory_movement_index.get("safe_status_export"))
status = _dict(status_export.get("status"))
builder_tables = _dict(memory_movement_index.get("builder_memory_tables"))
return {
"present": False,
"status": "missing",
"row_count": 0,
"builder_memory_table_count": 0,
"movement_counts": {},
"authority": "observability_non_authoritative",
"present": True,
"schema_version": memory_movement_index.get("schema_version"),
"status": str(status.get("status") or ("status_export_missing" if not status_export.get("exists") else "unknown")),
"row_count": _int(status.get("row_count")),
"builder_memory_table_count": _int(builder_tables.get("table_count")),
"movement_counts": _int_mapping(status.get("movement_counts")),
"authority": str(memory_movement_index.get("authority") or status.get("authority") or "observability_non_authoritative"),
"claim_boundary": (
"Memory movement index is observability evidence. It explains movement counts and status; "
"it is not memory truth and cannot override current-state records."
),
}

status_export = _dict(memory_movement_index.get("safe_status_export"))
status = _dict(status_export.get("status"))
builder_tables = _dict(memory_movement_index.get("builder_memory_tables"))
return {
"present": True,
"schema_version": memory_movement_index.get("schema_version"),
"status": str(status.get("status") or ("status_export_missing" if not status_export.get("exists") else "unknown")),
"row_count": _int(status.get("row_count")),
"builder_memory_table_count": _int(builder_tables.get("table_count")),
"movement_counts": _int_mapping(status.get("movement_counts")),
"authority": str(memory_movement_index.get("authority") or status.get("authority") or "observability_non_authoritative"),
"claim_boundary": (
"Memory movement index is observability evidence. It explains movement counts and status; "
"it is not memory truth and cannot override current-state records."
),
}


except Exception:
return {}
def _claim_boundary() -> str:
return (
"Compiled Spark OS maps are metadata snapshots. They prove source visibility, not live route success, "
"not permission, and not memory truth."
)
try:
return (
"Compiled Spark OS maps are metadata snapshots. They prove source visibility, not live route success, "
"not permission, and not memory truth."
)



except Exception:
return ""
def _dict(value: object) -> dict[str, Any]:
return dict(value) if isinstance(value, dict) else {}
try:
return dict(value) if isinstance(value, dict) else {}



except Exception:
return {}
def _list(value: object) -> list[Any]:
return list(value) if isinstance(value, list) else []

Expand Down