增强validator和打印区别

sync_state_machine/datasource/api/handler.py

@@ -20,7 +20,7 @@ from typing import ClassVar, Dict, List, Any, Optional, TYPE_CHECKING, TypeVar
 from pydantic import BaseModel
 
 from ...common.type_safety import get_pydantic_model_fields
-from ..handler import NodeHandler
+from ..handler import BaseNodeHandler
 from ..task_result import TaskResult
 from ..handler import ValidationResult  # Import ValidationResult
 
@@ -32,7 +32,7 @@ if TYPE_CHECKING:
 T = TypeVar("T", bound=BaseModel)
 
 
-class BaseApiHandler(NodeHandler[T]):
+class BaseApiHandler(BaseNodeHandler[T]):
     """API Handler 基类"""
     
     # 子类需要设置这些属性
@@ -40,15 +40,19 @@ class BaseApiHandler(NodeHandler[T]):
     _node_class: type['SyncNode']
     _schema: Any
     
-    def __init__(self):
+    def __init__(self, **handler_config: Any):
         # 子类应该在调用 super().__init__() 之前或之后设置 _node_type, _node_class, _schema
+        super().__init__()
         self.api_client: 'ApiClient' = None  # type: ignore  # 由 DataSource 注入
         self.poll_mode: str = "async"  # async | sync
         self._collection: 'DataCollection' = None # type: ignore  # 由 DataSource 注入
-        self.handler_config: Dict[str, Any] = {}
+        self.handler_config = dict(handler_config)
         # 子类在 __init__ 中设置此列表以声明 create/update 中涉及的 Pydantic schema 类；
         # post-check 将只比较这些 schema 覆盖的字段，过滤后端只读的派生字段。
         self.update_schemas: List[type] = []
+
+    def set_collection(self, collection: 'DataCollection') -> None:
+        self._collection = collection
     
     def get_update_fields(self, *, exclude: frozenset = frozenset({'id'})) -> List[str]:
         """从 update_schemas 中提取所有可写字段名，排除标识键（默认排除 id）。"""
@@ -66,17 +70,6 @@ class BaseApiHandler(NodeHandler[T]):
         """设置 Collection（由 DataSource 调用）"""
         self._collection = collection
 
-    def set_handler_config(self, config: Dict[str, Any]) -> None:
-        self.handler_config = dict(config)
-
-    def get_data_id_filter(self) -> List[str]:
-        value = self.handler_config.get("data_id_filter", [])
-        if isinstance(value, str):
-            return [value] if value else []
-        if isinstance(value, list):
-            return [str(item) for item in value if str(item)]
-        return []
-    
     @property
     def node_type(self) -> str:
         """返回节点类型"""