[Feature] [PD Disaggregation] simplify configuration for pd-disaggregated deployment, and refactor post-init and usage for all ports (#5415)

* [feat] simplify configuration for pd-disaggregated deployment, and refactor post-init and usage for all ports

* [fix] fix some bugs

* [fix] fix rdma port for cache manager/messager

* [fix] temporarily cancel port availability check to see if it can pass ci test

* [feat] simplify args for multi api server

* [fix] fix dp

* [fix] fix port for xpu

* [fix] add tests for ports post processing & fix ci

* [test] fix test_multi_api_server

* [fix] fix rdma_comm_ports args for multi_api_server

* [fix] fix test_common_engine

* [fix] fix test_cache_transfer_manager

* [chore] automatically setting FD_ENABLE_MULTI_API_SERVER

* [fix] avoid api server from creating engine_args twice

* [fix] fix test_run_batch

* [fix] fix test_metrics

* [fix] fix splitwise connector init

* [test] add test_rdma_transfer and test_expert_service

* [fix] fix code syntax

* [fix] fix test_rdma_transfer and build wheel with rdma script

fastdeploy/entrypoints/openai/api_server.py

@@ -146,6 +146,7 @@ async def lifespan(app: FastAPI):
     """
     async context manager for FastAPI lifespan
     """
+    global engine_args
     import logging
 
     uvicorn_access = logging.getLogger("uvicorn.access")
@@ -172,8 +173,8 @@ async def lifespan(app: FastAPI):
         verification = False
     model_paths = [ModelPath(name=served_model_names, model_path=args.model, verification=verification)]
 
-    engine_args = EngineArgs.from_cli_args(args)
-    fd_config = engine_args.create_engine_config(port_availability_check=False)
+    engine_args = EngineArgs.from_cli_args(args, skip_port_check=True)
+    fd_config = engine_args.create_engine_config()
     engine_client = EngineClient(
         pid=pid,
         port=int(os.environ.get("INFERENCE_MSG_QUEUE_ID", "0")),