adding logs

semantic.py

@@ -107,7 +107,7 @@ class SemanticStoreFactory:
                 collection_name=META_SEMANTIC_COLLECTION,
                 force_recreate=True
             )
-            _logger.info(f"\t==> DONE")
+            _logger.info(f"\t==> finished constructing vectorstore")
         else:
             semantic_chunk_vectorstore = Qdrant.from_documents(
                 semantic_chunks,
@@ -124,9 +124,11 @@ class SemanticStoreFactory:
     def get_semantic_store(
         cls
     ) -> VectorStore:
+        _logger.info(f"get_semantic_store")
         if cls._semantic_vectorstore is None:
             if USE_MEMORY == True:
                 cls._semantic_vectorstore = cls.__create_semantic_store()
+                _logger.info(f"received semantic_vectorstore")
             else:
                 print(f"Loading semantic vectorstore {META_SEMANTIC_COLLECTION} from: {VECTOR_STORE_PATH}")
                 try:
@@ -136,6 +138,7 @@ class SemanticStoreFactory:
                     _logger.warning(f"cannot load: {e}")
                     cls._semantic_vectorstore = cls.__create_semantic_store()
 
+        _logger.info(f"RETURNING get_semantic_store")
         return cls._semantic_vectorstore 
 
 class SemanticRAGChainFactory:
@@ -146,7 +149,9 @@ class SemanticRAGChainFactory:
         cls
     ) -> RunnableSequence:
         if cls._chain is None:
+            _logger.info(f"creating SemanticRAGChainFactory")
             semantic_store = SemanticStoreFactory.get_semantic_store()
+            _logger.info(f"\treceived semantic_store")
             if semantic_store is not None:
                 semantic_chunk_retriever = semantic_store.as_retriever()
                 semantic_mquery_retriever = MultiQueryRetriever.from_llm(
@@ -166,5 +171,6 @@ class SemanticRAGChainFactory:
                     # "context"  : populated by getting the value of the "context" key from the previous step
                     | {"response": rag_prompt | gpt4_model, "context": itemgetter("context")}
                 )
+                _logger.info(f"\t_chain constructed")
 
         return cls._chain