Add canon reset and reingest guardrails

railiance_fabric/connectors.py

@@ -6,6 +6,7 @@ from datetime import datetime, timezone
 from pathlib import Path
 from typing import Any, Protocol
 
+from .canon import edge_canon_mapping, evidence_state_for, node_canon_mapping
 from .discovery import (
     attribute_stable_key,
     discovery_stable_key,
@@ -183,12 +184,22 @@ class LocalFabricRegistryConnector:
         }
         repo_key = _repository_key(context.snapshot, context.repo_slug)
         entry_key = discovery_stable_key(context.repo_slug, "FabricRegistryEntry", context.repo_slug)
+        node_mapping = node_canon_mapping("FabricRegistryEntry")
         node = {
             "stable_key": entry_key,
             "kind": "FabricRegistryEntry",
             "label": str(match.get("name") or context.repo_slug),
             "repo": context.repo_slug,
             "domain": str(match.get("domain") or ""),
+            "canon_category": node_mapping.category,
+            "canon_anchor": node_mapping.canon_anchor,
+            "mapping_fit": node_mapping.fit,
+            "evidence_state": evidence_state_for(
+                origin="registry",
+                source_kind="fabric_registry",
+                review_state="candidate",
+                confidence=0.9,
+            ),
             "aliases": _unique_strings([context.repo_slug, match.get("name")]),
             "attributes": {
                 "registry_slug": context.repo_slug,
@@ -208,9 +219,20 @@ class LocalFabricRegistryConnector:
             "provenance": [provenance],
             "source_anchors": [anchor],
         }
+        edge_mapping = edge_canon_mapping("cataloged_as")
         edge = {
             "stable_key": relationship_stable_key(repo_key, "cataloged_as", entry_key, evidence_scope=scope["id"]),
             "edge_type": "cataloged_as",
+            "canonical_type": edge_mapping.canonical_type,
+            "canon_anchor": edge_mapping.canon_anchor,
+            "mapping_fit": edge_mapping.fit,
+            "display_only": edge_mapping.display_only,
+            "evidence_state": evidence_state_for(
+                origin="registry",
+                source_kind="fabric_registry",
+                review_state="candidate",
+                confidence=0.9,
+            ),
             "source_key": repo_key,
             "target_key": entry_key,
             "origin": "registry",