Merge branch 'main' of https://github.com/ParisNeo/LightRAG

.env.example

@@ -64,3 +64,7 @@ LOG_LEVEL=INFO
 
 # AZURE_EMBEDDING_DEPLOYMENT=text-embedding-3-large
 # AZURE_EMBEDDING_API_VERSION=2023-05-15
+
+
+# Ollama Emulating Model Tag
+# OLLAMA_EMULATING_MODEL_TAG=latest

lightrag-server.service.example

@@ -9,7 +9,7 @@ User=netman
 MemoryHigh=8G
 MemoryMax=12G
 WorkingDirectory=/home/netman/lightrag-xyj
-ExecStart=/home/netman/lightrag-xyj/start_lightrag_server.sh
+ExecStart=/home/netman/lightrag-xyj/start_lightrag.sh
 Restart=always
 RestartSec=10
 

lightrag/__init__.py

@@ -1,5 +1,5 @@
 from .lightrag import LightRAG as LightRAG, QueryParam as QueryParam
 
-__version__ = "1.1.2"
+__version__ = "1.1.3"
 __author__ = "Zirui Guo"
 __url__ = "https://github.com/HKUDS/LightRAG"

lightrag/api/lightrag_server.py

@@ -51,8 +51,8 @@ def estimate_tokens(text: str) -> int:
 
 # Constants for emulated Ollama model information
 LIGHTRAG_NAME = "lightrag"
-LIGHTRAG_TAG = "latest"
-LIGHTRAG_MODEL = "lightrag:latest"
+LIGHTRAG_TAG = os.getenv("OLLAMA_EMULATING_MODEL_TAG", "latest")
+LIGHTRAG_MODEL = f"{LIGHTRAG_NAME}:{LIGHTRAG_TAG}"
 LIGHTRAG_SIZE = 7365960935  # it's a dummy value
 LIGHTRAG_CREATED_AT = "2024-01-15T00:00:00Z"
 LIGHTRAG_DIGEST = "sha256:lightrag"
@@ -161,6 +161,8 @@ def display_splash_screen(args: argparse.Namespace) -> None:
 
     # System Configuration
     ASCIIColors.magenta("\n🛠️ System Configuration:")
+    ASCIIColors.white("    ├─ Ollama Emulating Model: ", end="")
+    ASCIIColors.yellow(f"{LIGHTRAG_MODEL}")
     ASCIIColors.white("    ├─ Log Level: ", end="")
     ASCIIColors.yellow(f"{args.log_level}")
     ASCIIColors.white("    ├─ Timeout: ", end="")
@@ -574,6 +576,29 @@ def create_app(args):
     # Check if API key is provided either through env var or args
     api_key = os.getenv("LIGHTRAG_API_KEY") or args.key
 
+    # Initialize document manager
+    doc_manager = DocumentManager(args.input_dir)
+
+    @asynccontextmanager
+    async def lifespan(app: FastAPI):
+        """Lifespan context manager for startup and shutdown events"""
+        # Startup logic
+        try:
+            new_files = doc_manager.scan_directory()
+            for file_path in new_files:
+                try:
+                    await index_file(file_path)
+                except Exception as e:
+                    trace_exception(e)
+                    logging.error(f"Error indexing file {file_path}: {str(e)}")
+
+            logging.info(f"Indexed {len(new_files)} documents from {args.input_dir}")
+        except Exception as e:
+            logging.error(f"Error during startup indexing: {str(e)}")
+        yield
+        # Cleanup logic (if needed)
+        pass
+
     # Initialize FastAPI
     app = FastAPI(
         title="LightRAG API",
@@ -583,6 +608,7 @@ def create_app(args):
         else "",
         version=__api_version__,
         openapi_tags=[{"name": "api"}],
+        lifespan=lifespan,
     )
 
     # Add CORS middleware
@@ -600,9 +626,6 @@ def create_app(args):
     # Create working directory if it doesn't exist
     Path(args.working_dir).mkdir(parents=True, exist_ok=True)
 
-    # Initialize document manager
-    doc_manager = DocumentManager(args.input_dir)
-
     async def openai_alike_model_complete(
         prompt,
         system_prompt=None,
@@ -737,8 +760,8 @@ def create_app(args):
                     content += page.extract_text() + "\n"
 
             case ".docx":
-                if not pm.is_installed("docx"):
-                    pm.install("docx")
+                if not pm.is_installed("python-docx"):
+                    pm.install("python-docx")
                 from docx import Document
 
                 # Word document handling
@@ -971,8 +994,8 @@ def create_app(args):
                         content += page.extract_text() + "\n"
 
                 case ".docx":
-                    if not pm.is_installed("docx"):
-                        pm.install("docx")
+                    if not pm.is_installed("python-docx"):
+                        pm.install("python-docx")
                     from docx import Document
                     from io import BytesIO