fix migration

backend/app/memory/extract.py

@@ -5,10 +5,11 @@ from typing import Any
 
 from sqlalchemy.orm import Session
 
-from app.config import get_settings
+from app.db.base import SessionLocal
 from app.llm.client import LLMClient
 from app.memory.service import MemoryService
 from app.projects.structuring import strip_markdown_json
+from app.settings.service import SettingsService
 
 logger = logging.getLogger(__name__)
 
@@ -62,28 +63,34 @@ async def _call_extractor(
         *[f"- {f.get('content')}" for f in facts[:30]],
     ]
 
-    settings = get_settings()
-    extract_model = settings.memory_extract_model.strip() or None
+    db = SessionLocal()
+    try:
+        extract_model = str(SettingsService(db).get_effective("memory_extract_model")).strip() or None
+    finally:
+        db.close()
 
     llm = LLMClient()
-    result = await llm.complete(
-        [
-            {"role": "system", "content": EXTRACTION_PROMPT},
-            {
-                "role": "user",
-                "content": (
-                    "\n".join(known)
-                    + "\n\n---\nДиалог:\nПользователь: "
-                    + user_text
-                    + "\nАссистент: "
-                    + assistant_text[:1500]
-                ),
-            },
-        ],
-        temperature=0.2,
-        model=extract_model,
-        for_extraction=True,
-    )
+    try:
+        result = await llm.complete(
+            [
+                {"role": "system", "content": EXTRACTION_PROMPT},
+                {
+                    "role": "user",
+                    "content": (
+                        "\n".join(known)
+                        + "\n\n---\nДиалог:\nПользователь: "
+                        + user_text
+                        + "\nАссистент: "
+                        + assistant_text[:1500]
+                    ),
+                },
+            ],
+            temperature=0.2,
+            model=extract_model,
+            for_extraction=True,
+        )
+    finally:
+        await llm.aclose()
     raw = strip_markdown_json(result.get("content") or "")
     if not raw:
         return {"facts": [], "profile": {}}