feat: 优化server 部分设置

astrai/inference/server.py

@@ -1,4 +1,5 @@
 import logging
+from contextlib import asynccontextmanager
 from pathlib import Path
 from typing import Any, Dict, List, Optional, Tuple
 
@@ -16,7 +17,51 @@ logger = logging.getLogger(__name__)
 # Global model parameter (loaded once)
 _model_param: Optional[ModelParameter] = None
 _project_root = Path(__file__).parent.parent.parent
-app = FastAPI(title="AstrAI Inference Server", version="0.1.0")
+
+# Server configuration (set before running server)
+_server_config: Dict[str, Any] = {
+    "device": "cuda",
+    "dtype": torch.bfloat16,
+    "param_path": None,
+}
+
+
+def configure_server(
+    device: str = "cuda",
+    dtype: torch.dtype = torch.bfloat16,
+    param_path: Optional[Path] = None,
+):
+    """Configure server settings before starting.
+
+    Args:
+        device: Device to load model on (e.g., "cuda", "cpu", "cuda:0")
+        dtype: Data type for model weights (e.g., torch.bfloat16, torch.float16)
+        param_path: Path to model parameters directory
+    """
+    _server_config["device"] = device
+    _server_config["dtype"] = dtype
+    _server_config["param_path"] = param_path
+
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    """Lifespan context manager for startup and shutdown events."""
+    # Startup: Load model with configured settings
+    try:
+        load_model(
+            param_path=_server_config["param_path"],
+            device=_server_config["device"],
+            dtype=_server_config["dtype"],
+        )
+    except Exception as e:
+        logger.error(f"Failed to load model: {e}")
+        raise
+    yield
+    # Shutdown: Cleanup if needed
+    pass
+
+
+app = FastAPI(title="AstrAI Inference Server", version="0.1.0", lifespan=lifespan)
 
 
 def load_model(
@@ -94,16 +139,6 @@ def convert_messages_to_history(
     return system_prompt, history if history else None
 
 
-@app.on_event("startup")
-async def startup_event():
-    """Load model on server startup."""
-    try:
-        load_model()
-    except Exception as e:
-        logger.error(f"Failed to load model: {e}")
-        raise
-
-
 @app.get("/health")
 async def health():
     return {"status": "ok", "model_loaded": _model_param is not None}
@@ -220,6 +255,23 @@ async def generate(
         return {"response": result}
 
 
-def run_server(host: str = "0.0.0.0", port: int = 8000, reload: bool = False):
+def run_server(
-    """Run the FastAPI server with uvicorn."""
+    host: str = "0.0.0.0",
+    port: int = 8000,
+    reload: bool = False,
+    device: str = "cuda",
+    dtype: torch.dtype = torch.bfloat16,
+    param_path: Optional[Path] = None,
+):
+    """Run the FastAPI server with uvicorn.
+
+    Args:
+        host: Server host address
+        port: Server port number
+        reload: Enable auto-reload for development
+        device: Device to load model on (e.g., "cuda", "cpu", "cuda:0")
+        dtype: Data type for model weights (e.g., torch.bfloat16, torch.float16)
+        param_path: Path to model parameters directory
+    """
+    configure_server(device=device, dtype=dtype, param_path=param_path)
     uvicorn.run("astrai.inference.server:app", host=host, port=port, reload=reload)