diff --git a/lightrag/api/routers/document_routes.py b/lightrag/api/routers/document_routes.py
index c25f7241..4f22947c 100644
--- a/lightrag/api/routers/document_routes.py
+++ b/lightrag/api/routers/document_routes.py
@@ -714,6 +714,10 @@ async def pipeline_enqueue_file(rag: LightRAG, file_path: Path) -> bool:
 
         # Insert into the RAG queue
         if content:
+            # Check if content contains only whitespace characters
+            if not content.strip():
+                logger.warning(f"File contains only whitespace characters. file_paths={file_path.name}")
+
             await rag.apipeline_enqueue_documents(content, file_paths=file_path.name)
             logger.info(f"Successfully fetched and enqueued file: {file_path.name}")
             return True
diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py
index 2ab9f89a..47e484f0 100644
--- a/lightrag/lightrag.py
+++ b/lightrag/lightrag.py
@@ -965,6 +965,9 @@ class LightRAG:
                                 )
                             }
 
+                            if not chunks:
+                                logger.warning("No document chunks to process")
+
                             # Process document in two stages
                             # Stage 1: Process text chunks and docs (parallel execution)
                             doc_status_task = asyncio.create_task(
diff --git a/pyproject.toml b/pyproject.toml
index b87df3bc..2bb1f288 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -11,7 +11,7 @@ authors = [
 description = "LightRAG: Simple and Fast Retrieval-Augmented Generation"
 readme = "README.md"
 license = {text = "MIT"}
-requires-python = ">=3.9"
+requires-python = ">=3.10"
 classifiers = [
     "Development Status :: 4 - Beta",
     "Programming Language :: Python :: 3",
@@ -91,3 +91,6 @@ version = {attr = "lightrag.__version__"}
 
 [tool.setuptools.package-data]
 lightrag = ["api/webui/**/*"]
+
+[tool.ruff]
+target-version = "py310"