fix demo

examples/test.py

@@ -1,6 +1,7 @@
 import os
 from lightrag import LightRAG, QueryParam
 from lightrag.llm.openai import gpt_4o_mini_complete
+from lightrag.kg.shared_storage import initialize_pipeline_status
 #########
 # Uncomment the below two lines if running in a jupyter notebook to handle the async nature of rag.insert()
 # import nest_asyncio
@@ -12,31 +13,45 @@ WORKING_DIR = "./dickens"
 if not os.path.exists(WORKING_DIR):
     os.mkdir(WORKING_DIR)
 
-rag = LightRAG(
-    working_dir=WORKING_DIR,
-    llm_model_func=gpt_4o_mini_complete,  # Use gpt_4o_mini_complete LLM model
-    # llm_model_func=gpt_4o_complete  # Optionally, use a stronger model
-)
+async def initialize_rag():
+    rag = LightRAG(
+        working_dir=WORKING_DIR,
+        llm_model_func=gpt_4o_mini_complete,  # Use gpt_4o_mini_complete LLM model
+        # llm_model_func=gpt_4o_complete  # Optionally, use a stronger model
+    )
 
-with open("./dickens/book.txt", "r", encoding="utf-8") as f:
-    rag.insert(f.read())
+    await rag.initialize_storages()
+    await initialize_pipeline_status()
 
-# Perform naive search
-print(
-    rag.query("What are the top themes in this story?", param=QueryParam(mode="naive"))
-)
+    return rag
 
-# Perform local search
-print(
-    rag.query("What are the top themes in this story?", param=QueryParam(mode="local"))
-)
 
-# Perform global search
-print(
-    rag.query("What are the top themes in this story?", param=QueryParam(mode="global"))
-)
+def main():
+    # Initialize RAG instance
+    rag = asyncio.run(initialize_rag())
 
-# Perform hybrid search
-print(
-    rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid"))
-)
+    with open("./book.txt", "r", encoding="utf-8") as f:
+        rag.insert(f.read())
+
+    # Perform naive search
+    print(
+        rag.query("What are the top themes in this story?", param=QueryParam(mode="naive"))
+    )
+
+    # Perform local search
+    print(
+        rag.query("What are the top themes in this story?", param=QueryParam(mode="local"))
+    )
+
+    # Perform global search
+    print(
+        rag.query("What are the top themes in this story?", param=QueryParam(mode="global"))
+    )
+
+    # Perform hybrid search
+    print(
+        rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid"))
+    )
+
+if __name__ == "__main__":
+    main()