Second-brain 2.0: hybrid retrieval, obsidian bridge, vector watermark, tests

src/store.py

@@ -127,6 +127,14 @@ class EngramStore:
         ).fetchall()
         return [self._row_to_engram(r) for r in rows]
 
+    def get_modified_since(self, iso_ts: str, limit: int = 5000) -> List[Engram]:
+        """Gibt Engramme zurück, deren `modified_at` nach `iso_ts` liegt."""
+        rows = self._conn.execute(
+            "SELECT * FROM engrams WHERE modified_at > ? ORDER BY modified_at ASC LIMIT ?",
+            (iso_ts, limit),
+        ).fetchall()
+        return [self._row_to_engram(r) for r in rows]
+
     def delete(self, engram_id: str) -> bool:
         """Löscht ein Engramm und alle Verknüpfungen."""
         rowid = self._conn.execute(
@@ -239,6 +247,13 @@ class EngramStore:
             "links": json.loads(row["links_json"]),
             "hierarchy": json.loads(row["hierarchy_json"]),
         }
+        # Keep Engram metadata timestamps aligned with DB columns so downstream
+        # consumers (e.g. vector indexing watermarks) can rely on them.
+        try:
+            d["metadata"]["created"] = row["created_at"]
+            d["metadata"]["modified"] = row["modified_at"]
+        except Exception:
+            pass
         emb = row["embedding_json"]
         if emb:
             d["embedding"] = json.loads(emb)