refactor(iteration_node): use Sequence and Mapping in parameters (#11483)

Signed-off-by: -LAN- <laipz8200@outlook.com>

api/core/workflow/graph_engine/entities/event.py

+from collections.abc import Mapping
 from datetime import datetime
 from typing import Any, Optional
 
 
 class IterationRunStartedEvent(BaseIterationEvent):
     start_at: datetime = Field(..., description="start at")
-    inputs: Optional[dict[str, Any]] = None
-    metadata: Optional[dict[str, Any]] = None
+    inputs: Optional[Mapping[str, Any]] = None
+    metadata: Optional[Mapping[str, Any]] = None
     predecessor_node_id: Optional[str] = None
 
 
 
 class IterationRunSucceededEvent(BaseIterationEvent):
     start_at: datetime = Field(..., description="start at")
-    inputs: Optional[dict[str, Any]] = None
-    outputs: Optional[dict[str, Any]] = None
-    metadata: Optional[dict[str, Any]] = None
+    inputs: Optional[Mapping[str, Any]] = None
+    outputs: Optional[Mapping[str, Any]] = None
+    metadata: Optional[Mapping[str, Any]] = None
     steps: int = 0
     iteration_duration_map: Optional[dict[str, float]] = None
 
 
 class IterationRunFailedEvent(BaseIterationEvent):
     start_at: datetime = Field(..., description="start at")
-    inputs: Optional[dict[str, Any]] = None
-    outputs: Optional[dict[str, Any]] = None
-    metadata: Optional[dict[str, Any]] = None
+    inputs: Optional[Mapping[str, Any]] = None
+    outputs: Optional[Mapping[str, Any]] = None
+    metadata: Optional[Mapping[str, Any]] = None
     steps: int = 0
     error: str = Field(..., description="failed reason")
 

api/core/workflow/nodes/iteration/iteration_node.py

                 for index, item in enumerate(iterator_list_value):
                     future: Future = thread_pool.submit(
                         self._run_single_iter_parallel,
-                        current_app._get_current_object(),  # type: ignore
-                        q,
-                        iterator_list_value,
-                        inputs,
-                        outputs,
-                        start_at,
-                        graph_engine,
-                        iteration_graph,
-                        index,
-                        item,
-                        iter_run_map,
+                        flask_app=current_app._get_current_object(),  # type: ignore
+                        q=q,
+                        iterator_list_value=iterator_list_value,
+                        inputs=inputs,
+                        outputs=outputs,
+                        start_at=start_at,
+                        graph_engine=graph_engine,
+                        iteration_graph=iteration_graph,
+                        index=index,
+                        item=item,
+                        iter_run_map=iter_run_map,
                     )
                     future.add_done_callback(thread_pool.task_done_callback)
                     futures.append(future)
     def _run_single_iter(
         self,
         *,
-        iterator_list_value: list[str],
+        iterator_list_value: Sequence[str],
         variable_pool: VariablePool,
-        inputs: dict[str, list],
+        inputs: Mapping[str, list],
         outputs: list,
         start_at: datetime,
         graph_engine: "GraphEngine",
 
     def _run_single_iter_parallel(
         self,
+        *,
         flask_app: Flask,
         q: Queue,
-        iterator_list_value: list[str],
-        inputs: dict[str, list],
+        iterator_list_value: Sequence[str],
+        inputs: Mapping[str, list],
         outputs: list,
         start_at: datetime,
         graph_engine: "GraphEngine",