Update app.py

app.py

@@ -1,3 +1,4 @@
+import uuid
 import subprocess 
 import os
 import torch
@@ -132,12 +133,15 @@ def log_to_qdrant(question: str, answer: str):
         # Convert the log entry to a vector (using embeddings)
         log_vector = embeddings.embed_documents([str(log_entry)])[0]
         
+        # Generate a valid 64-bit unsigned integer ID
+        valid_id = uuid.uuid4().int & (1 << 64) - 1  # Ensure it's a 64-bit unsigned integer
+        
         # Insert the log into the Qdrant collection
         client.upsert(
             collection_name=logs_collection_name,
             points=[
                 models.PointStruct(
-                    id=hash(timestamp),  # Use timestamp hash as ID
+                    id=valid_id,  # Use a valid 64-bit unsigned integer ID
                     vector=log_vector,
                     payload=log_entry
                 )