Backup automatico script del 2026-09-04 07:00

services/loogle-mcp/app/knowledge/indexer.py

@@ -89,14 +89,23 @@ def index_all(max_pages: int = 20) -> dict:
     return {"indexed": indexed, "errors": errors, "users": users}
 
 
-def index_context_snippet(username: str, project_id: str, text: str, title: str) -> None:
+def index_context_snippet(
+    username: str,
+    project_id: str,
+    text: str,
+    title: str,
+    snippet_id: Optional[str] = None,
+) -> None:
     chunks = _chunk_text(text)
     if not chunks:
         return
     vectors = embeddings.embed_texts(chunks)
     collection = qdrant_store.ctx_collection(username)
     doc_key = f"ctx-{username}-{project_id}"
-    qdrant_store.delete_by_doc(collection, hash(doc_key) % (2**31))
+    if snippet_id:
+        doc_key = f"{doc_key}-{snippet_id}"
+    doc_id = hash(doc_key) % (2**31)
+    qdrant_store.delete_by_doc(collection, doc_id)
     ids = []
     payloads = []
     for i, chunk in enumerate(chunks):
@@ -104,13 +113,15 @@ def index_context_snippet(username: str, project_id: str, text: str, title: str)
         ids.append(point_id)
         payloads.append(
             {
-                "doc_id": hash(doc_key) % (2**31),
+                "doc_id": doc_id,
                 "project_id": project_id,
                 "chunk_index": i,
                 "title": title,
                 "text": chunk,
                 "owner": username,
                 "visibility": "personal",
+                "source": "context",
+                "snippet_id": snippet_id or "latest",
             }
         )
     qdrant_store.upsert_chunks(collection, ids, vectors, payloads)