fix КФП

backend/app/memory/service.py

@@ -1,5 +1,6 @@
 import asyncio
 import json
+import logging
 import threading
 from concurrent.futures import ThreadPoolExecutor
 from datetime import datetime, timezone
@@ -20,6 +21,9 @@ DEFAULT_PROFILE: dict[str, Any] = {
 }
 
 
+logger = logging.getLogger(__name__)
+
+
 class MemoryService:
     def __init__(self, db: Session, user_id: int):
         self.db = db
@@ -38,10 +42,24 @@ class MemoryService:
     @staticmethod
     def _schedule_rag(coro) -> None:
         def runner() -> None:
+            try:
                 asyncio.run(coro)
+            except Exception:
+                logger.exception("RAG background task failed")
 
         threading.Thread(target=runner, daemon=True).start()
 
+    @staticmethod
+    def _rag_fact_payload(fact: MemoryFact) -> dict[str, Any]:
+        return {
+            "fact_id": int(fact.id),
+            "user_id": int(fact.user_id),
+            "content": fact.content,
+            "category": fact.category,
+            "importance": int(fact.importance),
+            "active": bool(fact.active),
+        }
+
     def get_profile(self) -> dict[str, Any]:
         row = self.db.scalar(select(UserProfile).where(UserProfile.user_id == self.user_id).limit(1))
         if not row:
@@ -114,7 +132,7 @@ class MemoryService:
             self.db.commit()
             from app.rag.ingest import index_memory_fact
 
-            self._schedule_rag(index_memory_fact(existing))
+            self._schedule_rag(index_memory_fact(**self._rag_fact_payload(existing)))
             result = {
                 "ok": True,
                 "action": "updated",
@@ -139,7 +157,7 @@ class MemoryService:
         self.db.refresh(fact)
         from app.rag.ingest import index_memory_fact
 
-        self._schedule_rag(index_memory_fact(fact))
+        self._schedule_rag(index_memory_fact(**self._rag_fact_payload(fact)))
         result = {
             "ok": True,
             "action": "created",

backend/app/rag/ingest.py

@@ -10,7 +10,7 @@ from sqlalchemy import select
 from sqlalchemy.orm import Session
 
 from app.config import get_settings
-from app.db.models import ChatSession, Document, DocumentChunk, MemoryFact
+from app.db.models import ChatSession, Document, DocumentChunk
 from app.rag import embeddings
 from app.rag.chunker import chunk_text
 from app.rag.store import (
@@ -22,25 +22,33 @@ from app.rag.store import (
 )
 
 
-async def index_memory_fact(fact: MemoryFact) -> None:
+async def index_memory_fact(
+    *,
+    fact_id: int,
+    user_id: int,
+    content: str,
+    category: str,
+    importance: int,
+    active: bool = True,
+) -> None:
     settings = get_settings()
-    if not settings.rag_enabled or not fact.active:
+    if not settings.rag_enabled or not active:
         return
-    vectors = await embeddings.embed_texts([fact.content])
+    vectors = await embeddings.embed_texts([content])
     if not vectors:
         return
     upsert_points(
         COLLECTION_FACTS,
         [
             qm.PointStruct(
-                id=int(fact.id),
+                id=int(fact_id),
                 vector=vectors[0],
                 payload={
-                    "user_id": fact.user_id,
-                    "fact_id": fact.id,
-                    "category": fact.category,
-                    "content": fact.content,
-                    "importance": fact.importance,
+                    "user_id": user_id,
+                    "fact_id": fact_id,
+                    "category": category,
+                    "content": content,
+                    "importance": importance,
                 },
             )
         ],

backend/app/rag/migrate_memory_to_qdrant.py

@@ -23,7 +23,14 @@ async def main() -> None:
     try:
         facts = db.scalars(select(MemoryFact).where(MemoryFact.active.is_(True))).all()
         for fact in facts:
-            await index_memory_fact(fact)
+            await index_memory_fact(
+                fact_id=int(fact.id),
+                user_id=int(fact.user_id),
+                content=fact.content,
+                category=fact.category,
+                importance=int(fact.importance),
+                active=bool(fact.active),
+            )
         summaries = db.scalars(select(SessionSummary)).all()
         for row in summaries:
             if row.summary: