Implement Gunicorn+Uvicorn integration for shared data preloading

- Create run_with_gunicorn.py script to properly initialize shared data in the
  main process before forking worker processes
- Revert unvicorn to single process mode only, and let gunicorn do all the multi-process jobs

gunicorn_config.py

@@ -0,0 +1,80 @@
+# gunicorn_config.py
+import os
+import multiprocessing
+from lightrag.kg.shared_storage import finalize_share_data
+from lightrag.api.utils_api import parse_args
+
+# Parse command line arguments
+args = parse_args()
+
+# Determine worker count - from environment variable or command line arguments
+workers = int(os.getenv('WORKERS', args.workers))
+
+# If not specified, use CPU count * 2 + 1 (Gunicorn recommended configuration)
+if workers <= 1:
+    workers = multiprocessing.cpu_count() * 2 + 1
+
+# Binding address
+bind = f"{os.getenv('HOST', args.host)}:{os.getenv('PORT', args.port)}"
+
+# Enable preload_app option
+preload_app = True
+
+# Use Uvicorn worker
+worker_class = "uvicorn.workers.UvicornWorker"
+
+# Other Gunicorn configurations
+timeout = int(os.getenv('TIMEOUT', 120))
+keepalive = 5
+
+# Optional SSL configuration
+if args.ssl:
+    certfile = args.ssl_certfile
+    keyfile = args.ssl_keyfile
+
+# Logging configuration
+errorlog = os.getenv('ERROR_LOG', '-')  # '-' means stderr
+accesslog = os.getenv('ACCESS_LOG', '-')  # '-' means stderr
+loglevel = os.getenv('LOG_LEVEL', 'info')
+
+def on_starting(server):
+    """
+    Executed when Gunicorn starts, before forking the first worker processes
+    You can use this function to do more initialization tasks for all processes
+    """
+    print("=" * 80)
+    print(f"GUNICORN MASTER PROCESS: on_starting jobs for all {workers} workers")
+    print(f"Process ID: {os.getpid()}")
+    print("=" * 80)
+    
+    # Memory usage monitoring
+    try:
+        import psutil
+        process = psutil.Process(os.getpid())
+        memory_info = process.memory_info()
+        msg = f"Memory usage after initialization: {memory_info.rss / 1024 / 1024:.2f} MB"
+        print(msg)
+    except ImportError:
+        print("psutil not installed, skipping memory usage reporting")
+    
+    print("=" * 80)
+    print("Gunicorn initialization complete, forking workers...")
+    print("=" * 80)
+
+
+def on_exit(server):
+    """
+    Executed when Gunicorn is shutting down.
+    This is a good place to release shared resources.
+    """
+    print("=" * 80)
+    print("GUNICORN MASTER PROCESS: Shutting down")
+    print(f"Process ID: {os.getpid()}")
+    print("=" * 80)
+    
+    # Release shared resources
+    finalize_share_data()
+    
+    print("=" * 80)
+    print("Gunicorn shutdown complete")
+    print("=" * 80)

lightrag/api/lightrag_server.py

@@ -483,17 +483,28 @@ def main():
 
     display_splash_screen(args)
 
-    from lightrag.kg.shared_storage import initialize_share_data
+    # Check if running under Gunicorn
-    initialize_share_data(args.workers)
+    if 'GUNICORN_CMD_ARGS' in os.environ:
+        # If started with Gunicorn, return directly as Gunicorn will call get_application
+        print("Running under Gunicorn - worker management handled by Gunicorn")
+        return
     
+    # If not running under Gunicorn, initialize shared data here
+    from lightrag.kg.shared_storage import initialize_share_data
+    print("Starting in single-process mode")
+    initialize_share_data(1)  # Force single process mode
+    
+    # Create application instance directly instead of using factory function
+    app = create_app(args)
+    
+    # Start Uvicorn in single process mode
     uvicorn_config = {
-        "app": "lightrag.api.lightrag_server:get_application",
+        "app": app,  # Pass application instance directly instead of string path
-        "factory": True,
         "host": args.host,
         "port": args.port,
-        "workers": args.workers,
         "log_config": None,  # Disable default config
     }
+    
     if args.ssl:
         uvicorn_config.update(
             {
@@ -501,6 +512,8 @@ def main():
                 "ssl_keyfile": args.ssl_keyfile,
             }
         )
+    
+    print(f"Starting Uvicorn server in single-process mode on {args.host}:{args.port}")
     uvicorn.run(**uvicorn_config)
 
 

lightrag/kg/shared_storage.py

@@ -1,10 +1,19 @@
 import os
+import sys
 from multiprocessing.synchronize import Lock as ProcessLock
 from threading import Lock as ThreadLock
 from multiprocessing import Manager
 from typing import Any, Dict, Optional, Union
 from lightrag.utils import logger
 
+# Define a direct print function for critical logs that must be visible in all processes
+def direct_log(message, level="INFO"):
+    """
+    Log a message directly to stderr to ensure visibility in all processes,
+    including the Gunicorn master process.
+    """    
+    print(f"{level}: {message}", file=sys.stderr, flush=True)
+
 LockType = Union[ProcessLock, ThreadLock]
 
 _manager = None
@@ -21,41 +30,60 @@ _global_lock: Optional[LockType] = None
 
 
 def initialize_share_data(workers: int = 1):
-    """Initialize storage data"""
+    """
+    Initialize shared storage data for single or multi-process mode.
+    
+    When used with Gunicorn's preload feature, this function is called once in the
+    master process before forking worker processes, allowing all workers to share
+    the same initialized data.
+    
+    In single-process mode, this function is called during LightRAG object initialization.
+    
+    The function determines whether to use cross-process shared variables for data storage
+    based on the number of workers. If workers=1, it uses thread locks and local dictionaries.
+    If workers>1, it uses process locks and shared dictionaries managed by multiprocessing.Manager.
+    
+    Args:
+        workers (int): Number of worker processes. If 1, single-process mode is used.
+                      If > 1, multi-process mode with shared memory is used.
+    """
     global _manager, _is_multiprocess, is_multiprocess, _global_lock, _shared_dicts, _share_objects, _init_flags, _initialized
         
+    # Check if already initialized
     if _initialized and _initialized.value:
         is_multiprocess = _is_multiprocess.value
-        if _is_multiprocess.value:
+        direct_log(f"Process {os.getpid()} storage data already initialized (multiprocess={_is_multiprocess.value})!")
-            logger.info(f"Process {os.getpid()} storage data already initialized!")
         return
     
     _manager = Manager()
     _initialized = _manager.Value("b", False)
     _is_multiprocess = _manager.Value("b", False)
 
-    if workers == 1:
+    # Force multi-process mode if workers > 1
-        _is_multiprocess.value = False
+    if workers > 1:
-        _global_lock = ThreadLock()
-        _shared_dicts = {}
-        _share_objects = {}
-        _init_flags = {}
-        logger.info(f"Process {os.getpid()} storage data created for Single Process")
-    else:
         _is_multiprocess.value = True
         _global_lock = _manager.Lock() 
         # Create shared dictionaries with manager
         _shared_dicts = _manager.dict()
         _share_objects = _manager.dict()
-        _init_flags = _manager.dict()  # 使用共享字典存储初始化标志
+        _init_flags = _manager.dict()  # Use shared dictionary to store initialization flags
-        logger.info(f"Process {os.getpid()} storage data created for Multiple Process")
+        direct_log(f"Process {os.getpid()} storage data created for Multiple Process (workers={workers})")
+    else:
+        _is_multiprocess.value = False
+        _global_lock = ThreadLock()
+        _shared_dicts = {}
+        _share_objects = {}
+        _init_flags = {}
+        direct_log(f"Process {os.getpid()} storage data created for Single Process")
 
+    # Mark as initialized
+    _initialized.value = True
     is_multiprocess = _is_multiprocess.value
 
 def try_initialize_namespace(namespace: str) -> bool:
     """
-    尝试初始化命名空间。返回True表示当前进程获得了初始化权限。
+    Try to initialize a namespace. Returns True if the current process gets initialization permission.
-    使用共享字典的原子操作确保只有一个进程能成功初始化。
+    Uses atomic operations on shared dictionaries to ensure only one process can successfully initialize.
     """
     global _init_flags, _manager
 
@@ -126,3 +154,52 @@ def get_namespace_data(namespace: str) -> Dict[str, Any]:
 def get_scan_progress() -> Dict[str, Any]:
     """get storage space for document scanning progress data"""
     return get_namespace_data("scan_progress")
+
+
+def finalize_share_data():
+    """
+    Release shared resources and clean up.
+    
+    This function should be called when the application is shutting down
+    to properly release shared resources and avoid memory leaks.
+    
+    In multi-process mode, it shuts down the Manager and releases all shared objects.
+    In single-process mode, it simply resets the global variables.
+    """
+    global _manager, _is_multiprocess, is_multiprocess, _global_lock, _shared_dicts, _share_objects, _init_flags, _initialized
+    
+    # Check if already initialized
+    if not (_initialized and _initialized.value):
+        direct_log(f"Process {os.getpid()} storage data not initialized, nothing to finalize")
+        return
+    
+    direct_log(f"Process {os.getpid()} finalizing storage data (multiprocess={_is_multiprocess.value})")
+    
+    # In multi-process mode, shut down the Manager
+    if _is_multiprocess.value and _manager is not None:
+        try:
+            # Clear shared dictionaries first
+            if _shared_dicts is not None:
+                _shared_dicts.clear()
+            if _share_objects is not None:
+                _share_objects.clear()
+            if _init_flags is not None:
+                _init_flags.clear()
+            
+            # Shut down the Manager
+            _manager.shutdown()
+            direct_log(f"Process {os.getpid()} Manager shutdown complete")
+        except Exception as e:
+            direct_log(f"Process {os.getpid()} Error shutting down Manager: {e}", level="ERROR")
+    
+    # Reset global variables
+    _manager = None
+    _initialized = None
+    _is_multiprocess = None
+    is_multiprocess = None
+    _shared_dicts = None
+    _share_objects = None
+    _init_flags = None
+    _global_lock = None
+    
+    direct_log(f"Process {os.getpid()} storage data finalization complete")

run_with_gunicorn.py

@@ -0,0 +1,172 @@
+#!/usr/bin/env python
+"""
+Start LightRAG server with Gunicorn
+"""
+import os
+import sys
+import json
+import signal
+import argparse
+import subprocess
+from lightrag.api.utils_api import parse_args, display_splash_screen
+from lightrag.kg.shared_storage import initialize_share_data, finalize_share_data
+
+# Signal handler for graceful shutdown
+def signal_handler(sig, frame):
+    print("\n\n" + "="*80)
+    print("RECEIVED TERMINATION SIGNAL")
+    print(f"Process ID: {os.getpid()}")
+    print("="*80 + "\n")
+    
+    # Release shared resources
+    finalize_share_data()
+    
+    # Exit with success status
+    sys.exit(0)
+
+def main():
+    # Register signal handlers for graceful shutdown
+    signal.signal(signal.SIGINT, signal_handler)  # Ctrl+C
+    signal.signal(signal.SIGTERM, signal_handler) # kill command
+    # Create a parser to handle Gunicorn-specific parameters
+    parser = argparse.ArgumentParser(
+        description="Start LightRAG server with Gunicorn"
+    )
+    parser.add_argument(
+        "--workers",
+        type=int,
+        help="Number of worker processes (overrides the default or config.ini setting)"
+    )
+    parser.add_argument(
+        "--timeout",
+        type=int,
+        help="Worker timeout in seconds (default: 120)"
+    )
+    parser.add_argument(
+        "--log-level",
+        choices=["debug", "info", "warning", "error", "critical"],
+        help="Gunicorn log level"
+    )
+    
+    # Parse Gunicorn-specific arguments
+    gunicorn_args, remaining_args = parser.parse_known_args()
+    
+    # Pass remaining arguments to LightRAG's parse_args
+    sys.argv = [sys.argv[0]] + remaining_args
+    args = parse_args()
+    
+    # If workers specified, override args value
+    if gunicorn_args.workers:
+        args.workers = gunicorn_args.workers
+        os.environ["WORKERS"] = str(gunicorn_args.workers)
+    
+    # If timeout specified, set environment variable
+    if gunicorn_args.timeout:
+        os.environ["TIMEOUT"] = str(gunicorn_args.timeout)
+    
+    # If log-level specified, set environment variable
+    if gunicorn_args.log_level:
+        os.environ["LOG_LEVEL"] = gunicorn_args.log_level
+    
+    # Save all LightRAG args to environment variable for worker processes
+    # This is the key step for passing arguments to lightrag_server.py
+    os.environ["LIGHTRAG_ARGS"] = json.dumps(vars(args))
+    
+    # Display startup information
+    display_splash_screen(args)
+    
+    print("🚀 Starting LightRAG with Gunicorn")
+    print(f"🔄 Worker management: Gunicorn (workers={args.workers})")
+    print("🔍 Preloading app: Enabled")
+    print("📝 Note: Using Gunicorn's preload feature for shared data initialization")
+    print("\n\n" + "="*80)
+    print("MAIN PROCESS INITIALIZATION")
+    print(f"Process ID: {os.getpid()}")
+    print(f"Workers setting: {args.workers}")
+    print("="*80 + "\n")
+    
+    # Start application with Gunicorn using direct Python API
+    # Ensure WORKERS environment variable is set before importing gunicorn_config
+    if args.workers > 1:
+        os.environ["WORKERS"] = str(args.workers)
+        
+    # Import Gunicorn's StandaloneApplication
+    from gunicorn.app.base import BaseApplication
+    
+    # Define a custom application class that loads our config
+    class GunicornApp(BaseApplication):
+        def __init__(self, app, options=None):
+            self.options = options or {}
+            self.application = app
+            super().__init__()
+        
+        def load_config(self):
+            # Define valid Gunicorn configuration options
+            valid_options = {
+                'bind', 'workers', 'worker_class', 'timeout', 'keepalive',
+                'preload_app', 'errorlog', 'accesslog', 'loglevel',
+                'certfile', 'keyfile', 'limit_request_line', 'limit_request_fields',
+                'limit_request_field_size', 'graceful_timeout', 'max_requests',
+                'max_requests_jitter'
+            }
+            
+            # Special hooks that need to be set separately
+            special_hooks = {
+                'on_starting', 'on_reload', 'on_exit', 'pre_fork', 'post_fork',
+                'pre_exec', 'pre_request', 'post_request', 'worker_init',
+                'worker_exit', 'nworkers_changed', 'child_exit'
+            }
+            
+            # Import the gunicorn_config module directly
+            import importlib.util
+            spec = importlib.util.spec_from_file_location("gunicorn_config", "gunicorn_config.py")
+            self.config_module = importlib.util.module_from_spec(spec)
+            spec.loader.exec_module(self.config_module)
+            
+            # Set configuration options
+            for key in dir(self.config_module):
+                if key in valid_options:
+                    value = getattr(self.config_module, key)
+                    # Skip functions like on_starting
+                    if not callable(value):
+                        self.cfg.set(key, value)
+                # Set special hooks
+                elif key in special_hooks:
+                    value = getattr(self.config_module, key)
+                    if callable(value):
+                        self.cfg.set(key, value)
+            
+            # Override with command line arguments if provided
+            if gunicorn_args.workers:
+                self.cfg.set("workers", gunicorn_args.workers)
+            if gunicorn_args.timeout:
+                self.cfg.set("timeout", gunicorn_args.timeout)
+            if gunicorn_args.log_level:
+                self.cfg.set("loglevel", gunicorn_args.log_level)
+        
+        def load(self):
+            # Import the application
+            from lightrag.api.lightrag_server import get_application
+            return get_application()
+    
+    # Create the application
+    app = GunicornApp("")
+    
+    # Directly call initialize_share_data with the correct workers value
+    from lightrag.kg.shared_storage import initialize_share_data
+    
+    # Force workers to be an integer and greater than 1 for multi-process mode
+    workers_count = int(args.workers)
+    if workers_count > 1:
+        # Set a flag to indicate we're in the main process
+        os.environ["LIGHTRAG_MAIN_PROCESS"] = "1"
+        initialize_share_data(workers_count)
+    else:
+        initialize_share_data(1)
+    
+    # Run the application
+    print("\nStarting Gunicorn with direct Python API...")
+    app.run()
+
+if __name__ == "__main__":
+    main()