[BugFix][KVCache] fix pre-commit code style issues

## Motivation

修复 CI pre-commit 代码风格检查失败问题。

## Modifications

- `fastdeploy/engine/common_engine.py`: black 格式化
- `fastdeploy/worker/worker_process.py`: black 格式化 + isort 修复
- `fastdeploy/cache_manager/v1/storage/__init__.py`: isort 修复
- `fastdeploy/worker/gpu_worker.py`: isort 修复

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

Author: kevincheng2

fastdeploy/cache_manager/v1/storage/__init__.py

@@ -9,7 +9,7 @@
     - create_storage_connector: Create a StorageConnector instance based on config
 """
 
-from typing import Any, Dict, Optional, TYPE_CHECKING
+from typing import TYPE_CHECKING, Any, Dict, Optional
 
 if TYPE_CHECKING:
     from fastdeploy.config import CacheConfig

fastdeploy/engine/common_engine.py

@@ -283,8 +283,8 @@ def start_worker_service(self, async_llm_pid=None):
 
         # If block number is specified and model is deployed in splitwise mode, start cache manager first
         if (
-            not self.do_profile 
-            and self.cfg.scheduler_config.splitwise_role != "mixed" 
+            not self.do_profile
+            and self.cfg.scheduler_config.splitwise_role != "mixed"
             and not envs.ENABLE_V1_KVCACHE_MANAGER
         ):
             device_ids = self.cfg.parallel_config.device_ids.split(",")
@@ -319,7 +319,7 @@ def check_worker_initialize_status_func(res: dict):
         if self.do_profile:
             self._stop_profile()
         elif (
-            self.cfg.scheduler_config.splitwise_role == "mixed" 
+            self.cfg.scheduler_config.splitwise_role == "mixed"
             and self.cfg.cache_config.enable_prefix_caching
             and not envs.ENABLE_V1_KVCACHE_MANAGER
         ):

fastdeploy/worker/gpu_worker.py

@@ -24,7 +24,7 @@
 
 from fastdeploy import envs
 from fastdeploy.config import FDConfig
-from fastdeploy.engine.request import Request, BatchRequest
+from fastdeploy.engine.request import BatchRequest, Request
 from fastdeploy.plugins.model_runner import load_model_runner_plugins
 from fastdeploy.usage.usage_lib import report_usage_stats
 from fastdeploy.utils import get_logger, set_random_seed

fastdeploy/worker/worker_process.py

@@ -49,7 +49,12 @@
     SpeculativeConfig,
     StructuredOutputsConfig,
 )
-from fastdeploy.engine.request import ControlRequest, ControlResponse, RequestType, BatchRequest
+from fastdeploy.engine.request import (
+    BatchRequest,
+    ControlRequest,
+    ControlResponse,
+    RequestType,
+)
 from fastdeploy.eplb.async_expert_loader import (
     MODEL_MAIN_NAME,
     REARRANGE_EXPERT_MAGIC_NUM,
@@ -1377,7 +1382,9 @@ def run_worker_proc() -> None:
 
 if __name__ == "__main__":
     import sys
+
     from fastdeploy.cache_manager.ops import cuda_host_alloc
+
     print(f"[DEBUG] Worker process sys.path[0] = {sys.path[0]}", flush=True)
     print(f"[DEBUG] Worker process cuda_host_alloc = {cuda_host_alloc}", flush=True)
     run_worker_proc()