debug 002

backend/chatgpt.py

@@ -5,9 +5,11 @@ from backend.populate_vec_db_and_seach import search_book
 
 def generate(user_prompt,book_name):
     #book_name = "Pride And Prejudice"
-
+    print(f"[DEBUG] In Generate Function with book_name :{book_name!r}")
+    print(f"[DEBUG] In Generate Function with user_prompt :{user_prompt!r}")
+    
     # 1. Vector search (returns list of dicts)
-    hits = search_book(book_name, user_prompt, 5)
+    hits = search_book(book_name, user_prompt)
 
     # 2. Prepare a text block summarizing retrieved context
     context_text = "\n\n".join(

backend/populate_vec_db_and_seach.py

@@ -148,14 +148,16 @@ def create_populate_collection_if_not_exist(book_name_sup):
 def search_book(
     bookname: str,
     query_text: str,
-    top_k: int = 5,
+    top_k: int = 10,
     score_threshold: float | None = None,
 ):
 
     client = get_client()
     model = get_model()
     # 1) Embed the query text
+    print("[DEBUG] Calculating Query Vector ........")
     query_vector = list(model.embed([query_text]))[0]
+    print(f"Query Vecot : {query_vector}")
     collection_name = collection_name_for_book(bookname)
     # 2) Query Qdrant with cosine similarity (collection is configured as COSINE)
     result = client.query_points(
@@ -176,6 +178,7 @@ def search_book(
                 "text": point.payload["text"]
             }
         )
+    print(f"We got some paragraphs Hits:{hits[0]}")   
     return hits