chore: add ast-grep rule to convert Optional[T] to T | None (#25560)

Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>

api/core/rag/rerank/rerank_base.py

@@ -1,5 +1,4 @@
 from abc import ABC, abstractmethod
-from typing import Optional
 
 from core.rag.models.document import Document
 
@@ -10,9 +9,9 @@ class BaseRerankRunner(ABC):
         self,
         query: str,
         documents: list[Document],
-        score_threshold: Optional[float] = None,
-        top_n: Optional[int] = None,
-        user: Optional[str] = None,
+        score_threshold: float | None = None,
+        top_n: int | None = None,
+        user: str | None = None,
     ) -> list[Document]:
         """
         Run rerank model

api/core/rag/rerank/rerank_model.py

@@ -1,5 +1,3 @@
-from typing import Optional
-
 from core.model_manager import ModelInstance
 from core.rag.models.document import Document
 from core.rag.rerank.rerank_base import BaseRerankRunner
@@ -13,9 +11,9 @@ class RerankModelRunner(BaseRerankRunner):
         self,
         query: str,
         documents: list[Document],
-        score_threshold: Optional[float] = None,
-        top_n: Optional[int] = None,
-        user: Optional[str] = None,
+        score_threshold: float | None = None,
+        top_n: int | None = None,
+        user: str | None = None,
     ) -> list[Document]:
         """
         Run rerank model

api/core/rag/rerank/weight_rerank.py

@@ -1,6 +1,5 @@
 import math
 from collections import Counter
-from typing import Optional
 
 import numpy as np
 
@@ -22,9 +21,9 @@ class WeightRerankRunner(BaseRerankRunner):
         self,
         query: str,
         documents: list[Document],
-        score_threshold: Optional[float] = None,
-        top_n: Optional[int] = None,
-        user: Optional[str] = None,
+        score_threshold: float | None = None,
+        top_n: int | None = None,
+        user: str | None = None,
     ) -> list[Document]:
         """
         Run rerank model