refactor(api): extract enclosing_node_id directly from graph definition

Instead of attaching it to `execution_metadata` and
extracting from the result.

api/core/workflow/workflow_entry.py

@@ -1,8 +1,8 @@
 import logging
 import time
 import uuid
-from collections.abc import Callable, Generator, Mapping, Sequence
-from typing import Any, Optional, TypeAlias, cast
+from collections.abc import Generator, Mapping, Sequence
+from typing import Any, Optional, cast
 
 from configs import dify_config
 from core.app.apps.base_app_queue_manager import GenerateTaskStoppedError
@@ -10,7 +10,6 @@ from core.app.entities.app_invoke_entities import InvokeFrom
 from core.file.models import File
 from core.workflow.callbacks import WorkflowCallback
 from core.workflow.constants import ENVIRONMENT_VARIABLE_NODE_ID
-from core.workflow.entities.node_entities import WorkflowNodeExecutionMetadataKey
 from core.workflow.entities.variable_pool import VariablePool
 from core.workflow.errors import WorkflowNodeRunFailedError
 from core.workflow.graph_engine.entities.event import GraphEngineEvent, GraphRunFailedEvent, InNodeEvent
@@ -20,11 +19,10 @@ from core.workflow.graph_engine.entities.graph_runtime_state import GraphRuntime
 from core.workflow.graph_engine.graph_engine import GraphEngine
 from core.workflow.nodes import NodeType
 from core.workflow.nodes.base import BaseNode
-from core.workflow.nodes.event import NodeEvent, RunCompletedEvent
+from core.workflow.nodes.event import NodeEvent
 from core.workflow.nodes.node_mapping import NODE_TYPE_CLASSES_MAPPING
 from core.workflow.variable_loader import DUMMY_VARIABLE_LOADER, VariableLoader, load_into_variable_pool
 from factories import file_factory
-from libs import gen_utils
 from models.enums import UserFrom
 from models.workflow import (
     Workflow,
@@ -141,7 +139,6 @@ class WorkflowEntry:
         node_type = NodeType(node_config_data.get("type"))
         node_version = node_config_data.get("version", "1")
         node_cls = NODE_TYPE_CLASSES_MAPPING[node_type][node_version]
-        metadata_attacher = _attach_execution_metadata_based_on_node_config(node_config_data)
 
         # init graph
         graph = Graph.init(graph_config=workflow.graph_dict)
@@ -194,8 +191,6 @@ class WorkflowEntry:
             generator = node_instance.run()
         except Exception as e:
             raise WorkflowNodeRunFailedError(node_instance=node_instance, error=str(e))
-        if metadata_attacher:
-            generator = gen_utils.map_(generator, metadata_attacher)
         return node_instance, generator
 
     @classmethod
@@ -381,49 +376,3 @@ class WorkflowEntry:
             # append variable and value to variable pool
             if variable_node_id != ENVIRONMENT_VARIABLE_NODE_ID:
                 variable_pool.add([variable_node_id] + variable_key_list, input_value)
-
-
-_NodeOrInNodeEvent: TypeAlias = NodeEvent | InNodeEvent
-
-
-def _attach_execution_metadata(
-    extra_metadata: dict[WorkflowNodeExecutionMetadataKey, Any],
-) -> Callable[[_NodeOrInNodeEvent], _NodeOrInNodeEvent]:
-    def _execution_metadata_mapper(e: NodeEvent | InNodeEvent) -> NodeEvent | InNodeEvent:
-        if not isinstance(e, RunCompletedEvent):
-            return e
-        run_result = e.run_result
-        if run_result.metadata is None:
-            run_result.metadata = {}
-        for k, v in extra_metadata.items():
-            run_result.metadata[k] = v
-        return e
-
-    return _execution_metadata_mapper
-
-
-def _attach_execution_metadata_based_on_node_config(
-    node_config: dict,
-) -> Callable[[_NodeOrInNodeEvent], _NodeOrInNodeEvent] | None:
-    in_loop = node_config.get("isInLoop", False)
-    in_iteration = node_config.get("isInIteration", False)
-    if in_loop:
-        loop_id = node_config.get("loop_id")
-        if loop_id is None:
-            raise Exception("invalid graph")
-        return _attach_execution_metadata(
-            {
-                WorkflowNodeExecutionMetadataKey.LOOP_ID: loop_id,
-            }
-        )
-    elif in_iteration:
-        iteration_id = node_config.get("iteration_id")
-        if iteration_id is None:
-            raise Exception("invalid graph")
-        return _attach_execution_metadata(
-            {
-                WorkflowNodeExecutionMetadataKey.ITERATION_ID: iteration_id,
-            }
-        )
-    else:
-        return None

api/libs/gen_utils.py

@@ -1,33 +0,0 @@
-"""Utility functions for working with generators."""
-
-from collections.abc import Callable, Generator
-from typing import TypeVar
-
-_YieldT = TypeVar("_YieldT")
-_YieldR = TypeVar("_YieldR")
-
-
-def map_(
-    gen: Generator[_YieldT, None, None],
-    mapper: Callable[[_YieldT], _YieldR],
-) -> Generator[_YieldR, None, None]:
-    for item in gen:
-        yield mapper(item)
-
-
-def filter_(
-    gen: Generator[_YieldT, None, None],
-    mapper: Callable[[_YieldT], bool],
-) -> Generator[_YieldT, None, None]:
-    for item in gen:
-        if mapper(item):
-            yield item
-
-
-def wrap(
-    gen: Generator[_YieldT, None, None],
-    funcs: list[Callable[[Generator[_YieldT, None, None]], Generator[_YieldT, None, None]]],
-) -> Generator[_YieldT, None, None]:
-    for f in funcs:
-        gen = f(gen)
-    return gen

api/services/workflow_service.py

@@ -15,7 +15,7 @@ from core.app.entities.app_invoke_entities import InvokeFrom
 from core.file import File
 from core.repositories import SQLAlchemyWorkflowNodeExecutionRepository
 from core.variables import Variable
-from core.workflow.entities.node_entities import NodeRunResult, WorkflowNodeExecutionMetadataKey
+from core.workflow.entities.node_entities import NodeRunResult
 from core.workflow.entities.variable_pool import VariablePool
 from core.workflow.entities.workflow_node_execution import WorkflowNodeExecution, WorkflowNodeExecutionStatus
 from core.workflow.enums import SystemVariableKey
@@ -362,6 +362,13 @@ class WorkflowService:
             app_id=app_model.id,
         )
 
+        node_config = draft_workflow.get_node_config_by_id(node_id)
+        eclosing_node_type_and_id = draft_workflow.get_enclosing_node_type_and_id(node_config)
+        if eclosing_node_type_and_id:
+            _, enclosing_node_id = eclosing_node_type_and_id
+        else:
+            enclosing_node_id = None
+
         run = WorkflowEntry.single_step_run(
             workflow=draft_workflow,
             node_id=node_id,
@@ -394,11 +401,6 @@ class WorkflowService:
         # Convert node_execution to WorkflowNodeExecution after save
         workflow_node_execution = repository.to_db_model(node_execution)
 
-        exec_metadata = workflow_node_execution.execution_metadata_dict or {}
-
-        loop_id = exec_metadata.get(WorkflowNodeExecutionMetadataKey.LOOP_ID, None)
-        iteration_id = exec_metadata.get(WorkflowNodeExecutionMetadataKey.ITERATION_ID, None)
-
         with Session(bind=db.engine) as session, session.begin():
             draft_var_saver = DraftVariableSaver(
                 session=session,
@@ -406,7 +408,8 @@ class WorkflowService:
                 node_id=workflow_node_execution.node_id,
                 node_type=NodeType(workflow_node_execution.node_type),
                 invoke_from=InvokeFrom.DEBUGGER,
-                enclosing_node_id=loop_id or iteration_id or None,
+                enclosing_node_id=enclosing_node_id,
+                node_execution_id=node_execution.id,
             )
             draft_var_saver.save(process_data=node_execution.process_data, outputs=node_execution.outputs)
             session.commit()