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refactor(workflow): Rename NodeRunMetadataKey to WorkflowNodeExecutionMetadataKey (#20457)

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Signed-off-by: -LAN- <laipz8200@outlook.com>
This commit is contained in:
-LAN-
2025-05-30 04:47:56 +08:00
committed by GitHub
parent 482e50aae9
commit 32e779eef3
22 changed files with 145 additions and 128 deletions
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4
api/core/workflow/entities/node_entities.py
View File

@@ -4,7 +4,7 @@ from typing import Any, Optional
from pydantic import BaseModel
from core.model_runtime.entities.llm_entities import LLMUsage
from core.workflow.entities.workflow_node_execution import NodeRunMetadataKey, WorkflowNodeExecutionStatus
from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey, WorkflowNodeExecutionStatus
class NodeRunResult(BaseModel):
@@ -17,7 +17,7 @@ class NodeRunResult(BaseModel):
inputs: Optional[Mapping[str, Any]] = None # node inputs
process_data: Optional[Mapping[str, Any]] = None # process data
outputs: Optional[Mapping[str, Any]] = None # node outputs
metadata: Optional[Mapping[NodeRunMetadataKey, Any]] = None # node metadata
metadata: Optional[Mapping[WorkflowNodeExecutionMetadataKey, Any]] = None # node metadata
llm_usage: Optional[LLMUsage] = None # llm usage
edge_source_handle: Optional[str] = None # source handle id of node with multiple branches

8
api/core/workflow/entities/workflow_node_execution.py
View File

@@ -16,7 +16,7 @@ from pydantic import BaseModel, Field
from core.workflow.nodes.enums import NodeType
class NodeRunMetadataKey(StrEnum):
class WorkflowNodeExecutionMetadataKey(StrEnum):
"""
Node Run Metadata Key.
"""
@@ -70,7 +70,7 @@ class NodeExecution(BaseModel):
id: str # Unique identifier for this execution record
node_execution_id: Optional[str] = None # Optional secondary ID for cross-referencing
workflow_id: str # ID of the workflow this node belongs to
workflow_run_id: Optional[str] = None # ID of the specific workflow run (null for single-step debugging)
workflow_execution_id: Optional[str] = None # ID of the specific workflow run (null for single-step debugging)
# Execution positioning and flow
index: int # Sequence number for ordering in trace visualization
@@ -90,7 +90,7 @@ class NodeExecution(BaseModel):
elapsed_time: float = Field(default=0.0) # Time taken for execution in seconds
# Additional metadata
metadata: Optional[Mapping[NodeRunMetadataKey, Any]] = None # Execution metadata (tokens, cost, etc.)
metadata: Optional[Mapping[WorkflowNodeExecutionMetadataKey, Any]] = None # Execution metadata (tokens, cost, etc.)
# Timing information
created_at: datetime # When execution started
@@ -101,7 +101,7 @@ class NodeExecution(BaseModel):
inputs: Optional[Mapping[str, Any]] = None,
process_data: Optional[Mapping[str, Any]] = None,
outputs: Optional[Mapping[str, Any]] = None,
metadata: Optional[Mapping[NodeRunMetadataKey, Any]] = None,
metadata: Optional[Mapping[WorkflowNodeExecutionMetadataKey, Any]] = None,
) -> None:
"""
Update the model from mappings.

24
api/core/workflow/graph_engine/graph_engine.py
View File

@@ -16,7 +16,7 @@ from core.app.apps.base_app_queue_manager import GenerateTaskStoppedError
from core.app.entities.app_invoke_entities import InvokeFrom
from core.workflow.entities.node_entities import AgentNodeStrategyInit, NodeRunResult
from core.workflow.entities.variable_pool import VariablePool, VariableValue
from core.workflow.entities.workflow_node_execution import NodeRunMetadataKey, WorkflowNodeExecutionStatus
from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey, WorkflowNodeExecutionStatus
from core.workflow.graph_engine.condition_handlers.condition_manager import ConditionManager
from core.workflow.graph_engine.entities.event import (
BaseAgentEvent,
@@ -760,10 +760,12 @@ class GraphEngine:
and node_instance.node_data.error_strategy is ErrorStrategy.FAIL_BRANCH
):
run_result.edge_source_handle = FailBranchSourceHandle.SUCCESS
if run_result.metadata and run_result.metadata.get(NodeRunMetadataKey.TOTAL_TOKENS):
if run_result.metadata and run_result.metadata.get(
WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS
):
# plus state total_tokens
self.graph_runtime_state.total_tokens += int(
run_result.metadata.get(NodeRunMetadataKey.TOTAL_TOKENS) # type: ignore[arg-type]
run_result.metadata.get(WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS) # type: ignore[arg-type]
)
if run_result.llm_usage:
@@ -786,13 +788,17 @@ class GraphEngine:
if parallel_id and parallel_start_node_id:
metadata_dict = dict(run_result.metadata)
metadata_dict[NodeRunMetadataKey.PARALLEL_ID] = parallel_id
metadata_dict[NodeRunMetadataKey.PARALLEL_START_NODE_ID] = parallel_start_node_id
metadata_dict[WorkflowNodeExecutionMetadataKey.PARALLEL_ID] = parallel_id
metadata_dict[WorkflowNodeExecutionMetadataKey.PARALLEL_START_NODE_ID] = (
parallel_start_node_id
)
if parent_parallel_id and parent_parallel_start_node_id:
metadata_dict[NodeRunMetadataKey.PARENT_PARALLEL_ID] = parent_parallel_id
metadata_dict[NodeRunMetadataKey.PARENT_PARALLEL_START_NODE_ID] = (
parent_parallel_start_node_id
metadata_dict[WorkflowNodeExecutionMetadataKey.PARENT_PARALLEL_ID] = (
parent_parallel_id
)
metadata_dict[
WorkflowNodeExecutionMetadataKey.PARENT_PARALLEL_START_NODE_ID
] = parent_parallel_start_node_id
run_result.metadata = metadata_dict
yield NodeRunSucceededEvent(
@@ -924,7 +930,7 @@ class GraphEngine:
"error": error_result.error,
"inputs": error_result.inputs,
"metadata": {
NodeRunMetadataKey.ERROR_STRATEGY: node_instance.node_data.error_strategy,
WorkflowNodeExecutionMetadataKey.ERROR_STRATEGY: node_instance.node_data.error_strategy,
},
}

14
api/core/workflow/nodes/iteration/iteration_node.py
View File

@@ -15,7 +15,7 @@ from core.workflow.entities.node_entities import (
NodeRunResult,
)
from core.workflow.entities.variable_pool import VariablePool
from core.workflow.entities.workflow_node_execution import NodeRunMetadataKey, WorkflowNodeExecutionStatus
from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey, WorkflowNodeExecutionStatus
from core.workflow.graph_engine.entities.event import (
BaseGraphEvent,
BaseNodeEvent,
@@ -248,8 +248,8 @@ class IterationNode(BaseNode[IterationNodeData]):
status=WorkflowNodeExecutionStatus.SUCCEEDED,
outputs={"output": outputs},
metadata={
NodeRunMetadataKey.ITERATION_DURATION_MAP: iter_run_map,
NodeRunMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens,
WorkflowNodeExecutionMetadataKey.ITERATION_DURATION_MAP: iter_run_map,
WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens,
},
)
)
@@ -360,16 +360,16 @@ class IterationNode(BaseNode[IterationNodeData]):
event.parallel_mode_run_id = parallel_mode_run_id
iter_metadata = {
NodeRunMetadataKey.ITERATION_ID: self.node_id,
NodeRunMetadataKey.ITERATION_INDEX: iter_run_index,
WorkflowNodeExecutionMetadataKey.ITERATION_ID: self.node_id,
WorkflowNodeExecutionMetadataKey.ITERATION_INDEX: iter_run_index,
}
if parallel_mode_run_id:
# for parallel, the specific branch ID is more important than the sequential index
iter_metadata[NodeRunMetadataKey.PARALLEL_MODE_RUN_ID] = parallel_mode_run_id
iter_metadata[WorkflowNodeExecutionMetadataKey.PARALLEL_MODE_RUN_ID] = parallel_mode_run_id
if event.route_node_state.node_run_result:
current_metadata = event.route_node_state.node_run_result.metadata or {}
if NodeRunMetadataKey.ITERATION_ID not in current_metadata:
if WorkflowNodeExecutionMetadataKey.ITERATION_ID not in current_metadata:
event.route_node_state.node_run_result.metadata = {**current_metadata, **iter_metadata}
return event

8
api/core/workflow/nodes/llm/node.py
View File

@@ -56,7 +56,7 @@ from core.workflow.constants import SYSTEM_VARIABLE_NODE_ID
from core.workflow.entities.node_entities import NodeRunResult
from core.workflow.entities.variable_entities import VariableSelector
from core.workflow.entities.variable_pool import VariablePool
from core.workflow.entities.workflow_node_execution import NodeRunMetadataKey, WorkflowNodeExecutionStatus
from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey, WorkflowNodeExecutionStatus
from core.workflow.enums import SystemVariableKey
from core.workflow.graph_engine.entities.event import InNodeEvent
from core.workflow.nodes.base import BaseNode
@@ -267,9 +267,9 @@ class LLMNode(BaseNode[LLMNodeData]):
process_data=process_data,
outputs=outputs,
metadata={
NodeRunMetadataKey.TOTAL_TOKENS: usage.total_tokens,
NodeRunMetadataKey.TOTAL_PRICE: usage.total_price,
NodeRunMetadataKey.CURRENCY: usage.currency,
WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS: usage.total_tokens,
WorkflowNodeExecutionMetadataKey.TOTAL_PRICE: usage.total_price,
WorkflowNodeExecutionMetadataKey.CURRENCY: usage.currency,
},
llm_usage=usage,
)

46
api/core/workflow/nodes/loop/loop_node.py
View File

@@ -16,7 +16,7 @@ from core.variables import (
StringSegment,
)
from core.workflow.entities.node_entities import NodeRunResult
from core.workflow.entities.workflow_node_execution import NodeRunMetadataKey, WorkflowNodeExecutionStatus
from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey, WorkflowNodeExecutionStatus
from core.workflow.graph_engine.entities.event import (
BaseGraphEvent,
BaseNodeEvent,
@@ -187,10 +187,10 @@ class LoopNode(BaseNode[LoopNodeData]):
outputs=self.node_data.outputs,
steps=loop_count,
metadata={
NodeRunMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens,
WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens,
"completed_reason": "loop_break" if check_break_result else "loop_completed",
NodeRunMetadataKey.LOOP_DURATION_MAP: loop_duration_map,
NodeRunMetadataKey.LOOP_VARIABLE_MAP: single_loop_variable_map,
WorkflowNodeExecutionMetadataKey.LOOP_DURATION_MAP: loop_duration_map,
WorkflowNodeExecutionMetadataKey.LOOP_VARIABLE_MAP: single_loop_variable_map,
},
)
@@ -198,9 +198,9 @@ class LoopNode(BaseNode[LoopNodeData]):
run_result=NodeRunResult(
status=WorkflowNodeExecutionStatus.SUCCEEDED,
metadata={
NodeRunMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens,
NodeRunMetadataKey.LOOP_DURATION_MAP: loop_duration_map,
NodeRunMetadataKey.LOOP_VARIABLE_MAP: single_loop_variable_map,
WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens,
WorkflowNodeExecutionMetadataKey.LOOP_DURATION_MAP: loop_duration_map,
WorkflowNodeExecutionMetadataKey.LOOP_VARIABLE_MAP: single_loop_variable_map,
},
outputs=self.node_data.outputs,
inputs=inputs,
@@ -221,8 +221,8 @@ class LoopNode(BaseNode[LoopNodeData]):
metadata={
"total_tokens": graph_engine.graph_runtime_state.total_tokens,
"completed_reason": "error",
NodeRunMetadataKey.LOOP_DURATION_MAP: loop_duration_map,
NodeRunMetadataKey.LOOP_VARIABLE_MAP: single_loop_variable_map,
WorkflowNodeExecutionMetadataKey.LOOP_DURATION_MAP: loop_duration_map,
WorkflowNodeExecutionMetadataKey.LOOP_VARIABLE_MAP: single_loop_variable_map,
},
error=str(e),
)
@@ -232,9 +232,9 @@ class LoopNode(BaseNode[LoopNodeData]):
status=WorkflowNodeExecutionStatus.FAILED,
error=str(e),
metadata={
NodeRunMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens,
NodeRunMetadataKey.LOOP_DURATION_MAP: loop_duration_map,
NodeRunMetadataKey.LOOP_VARIABLE_MAP: single_loop_variable_map,
WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens,
WorkflowNodeExecutionMetadataKey.LOOP_DURATION_MAP: loop_duration_map,
WorkflowNodeExecutionMetadataKey.LOOP_VARIABLE_MAP: single_loop_variable_map,
},
)
)
@@ -322,7 +322,9 @@ class LoopNode(BaseNode[LoopNodeData]):
inputs=inputs,
steps=current_index,
metadata={
NodeRunMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens,
WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS: (
graph_engine.graph_runtime_state.total_tokens
),
"completed_reason": "error",
},
error=event.error,
@@ -331,7 +333,11 @@ class LoopNode(BaseNode[LoopNodeData]):
run_result=NodeRunResult(
status=WorkflowNodeExecutionStatus.FAILED,
error=event.error,
metadata={NodeRunMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens},
metadata={
WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS: (
graph_engine.graph_runtime_state.total_tokens
)
},
)
)
return {"check_break_result": True}
@@ -347,7 +353,7 @@ class LoopNode(BaseNode[LoopNodeData]):
inputs=inputs,
steps=current_index,
metadata={
NodeRunMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens,
WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens,
"completed_reason": "error",
},
error=event.error,
@@ -356,7 +362,9 @@ class LoopNode(BaseNode[LoopNodeData]):
run_result=NodeRunResult(
status=WorkflowNodeExecutionStatus.FAILED,
error=event.error,
metadata={NodeRunMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens},
metadata={
WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS: graph_engine.graph_runtime_state.total_tokens
},
)
)
return {"check_break_result": True}
@@ -411,11 +419,11 @@ class LoopNode(BaseNode[LoopNodeData]):
metadata = event.route_node_state.node_run_result.metadata
if not metadata:
metadata = {}
if NodeRunMetadataKey.LOOP_ID not in metadata:
if WorkflowNodeExecutionMetadataKey.LOOP_ID not in metadata:
metadata = {
**metadata,
NodeRunMetadataKey.LOOP_ID: self.node_id,
NodeRunMetadataKey.LOOP_INDEX: iter_run_index,
WorkflowNodeExecutionMetadataKey.LOOP_ID: self.node_id,
WorkflowNodeExecutionMetadataKey.LOOP_INDEX: iter_run_index,
}
event.route_node_state.node_run_result.metadata = metadata
return event

8
api/core/workflow/nodes/parameter_extractor/parameter_extractor_node.py
View File

@@ -27,7 +27,7 @@ from core.prompt.simple_prompt_transform import ModelMode
from core.prompt.utils.prompt_message_util import PromptMessageUtil
from core.workflow.entities.node_entities import NodeRunResult
from core.workflow.entities.variable_pool import VariablePool
from core.workflow.entities.workflow_node_execution import NodeRunMetadataKey, WorkflowNodeExecutionStatus
from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey, WorkflowNodeExecutionStatus
from core.workflow.nodes.enums import NodeType
from core.workflow.nodes.llm import LLMNode, ModelConfig
from core.workflow.utils import variable_template_parser
@@ -244,9 +244,9 @@ class ParameterExtractorNode(LLMNode):
process_data=process_data,
outputs={"__is_success": 1 if not error else 0, "__reason": error, **result},
metadata={
NodeRunMetadataKey.TOTAL_TOKENS: usage.total_tokens,
NodeRunMetadataKey.TOTAL_PRICE: usage.total_price,
NodeRunMetadataKey.CURRENCY: usage.currency,
WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS: usage.total_tokens,
WorkflowNodeExecutionMetadataKey.TOTAL_PRICE: usage.total_price,
WorkflowNodeExecutionMetadataKey.CURRENCY: usage.currency,
},
llm_usage=usage,
)

14
api/core/workflow/nodes/question_classifier/question_classifier_node.py
View File

@@ -11,7 +11,7 @@ from core.prompt.advanced_prompt_transform import AdvancedPromptTransform
from core.prompt.simple_prompt_transform import ModelMode
from core.prompt.utils.prompt_message_util import PromptMessageUtil
from core.workflow.entities.node_entities import NodeRunResult
from core.workflow.entities.workflow_node_execution import NodeRunMetadataKey, WorkflowNodeExecutionStatus
from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey, WorkflowNodeExecutionStatus
from core.workflow.nodes.enums import NodeType
from core.workflow.nodes.event import ModelInvokeCompletedEvent
from core.workflow.nodes.llm import (
@@ -142,9 +142,9 @@ class QuestionClassifierNode(LLMNode):
outputs=outputs,
edge_source_handle=category_id,
metadata={
NodeRunMetadataKey.TOTAL_TOKENS: usage.total_tokens,
NodeRunMetadataKey.TOTAL_PRICE: usage.total_price,
NodeRunMetadataKey.CURRENCY: usage.currency,
WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS: usage.total_tokens,
WorkflowNodeExecutionMetadataKey.TOTAL_PRICE: usage.total_price,
WorkflowNodeExecutionMetadataKey.CURRENCY: usage.currency,
},
llm_usage=usage,
)
@@ -154,9 +154,9 @@ class QuestionClassifierNode(LLMNode):
inputs=variables,
error=str(e),
metadata={
NodeRunMetadataKey.TOTAL_TOKENS: usage.total_tokens,
NodeRunMetadataKey.TOTAL_PRICE: usage.total_price,
NodeRunMetadataKey.CURRENCY: usage.currency,
WorkflowNodeExecutionMetadataKey.TOTAL_TOKENS: usage.total_tokens,
WorkflowNodeExecutionMetadataKey.TOTAL_PRICE: usage.total_price,
WorkflowNodeExecutionMetadataKey.CURRENCY: usage.currency,
},
llm_usage=usage,
)

16
api/core/workflow/nodes/tool/tool_node.py
View File

@@ -16,7 +16,7 @@ from core.variables.segments import ArrayAnySegment
from core.variables.variables import ArrayAnyVariable
from core.workflow.entities.node_entities import NodeRunResult
from core.workflow.entities.variable_pool import VariablePool
from core.workflow.entities.workflow_node_execution import NodeRunMetadataKey, WorkflowNodeExecutionStatus
from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey, WorkflowNodeExecutionStatus
from core.workflow.enums import SystemVariableKey
from core.workflow.graph_engine.entities.event import AgentLogEvent
from core.workflow.nodes.base import BaseNode
@@ -70,7 +70,7 @@ class ToolNode(BaseNode[ToolNodeData]):
run_result=NodeRunResult(
status=WorkflowNodeExecutionStatus.FAILED,
inputs={},
metadata={NodeRunMetadataKey.TOOL_INFO: tool_info},
metadata={WorkflowNodeExecutionMetadataKey.TOOL_INFO: tool_info},
error=f"Failed to get tool runtime: {str(e)}",
error_type=type(e).__name__,
)
@@ -110,7 +110,7 @@ class ToolNode(BaseNode[ToolNodeData]):
run_result=NodeRunResult(
status=WorkflowNodeExecutionStatus.FAILED,
inputs=parameters_for_log,
metadata={NodeRunMetadataKey.TOOL_INFO: tool_info},
metadata={WorkflowNodeExecutionMetadataKey.TOOL_INFO: tool_info},
error=f"Failed to invoke tool: {str(e)}",
error_type=type(e).__name__,
)
@@ -125,7 +125,7 @@ class ToolNode(BaseNode[ToolNodeData]):
run_result=NodeRunResult(
status=WorkflowNodeExecutionStatus.FAILED,
inputs=parameters_for_log,
metadata={NodeRunMetadataKey.TOOL_INFO: tool_info},
metadata={WorkflowNodeExecutionMetadataKey.TOOL_INFO: tool_info},
error=f"Failed to transform tool message: {str(e)}",
error_type=type(e).__name__,
)
@@ -201,7 +201,7 @@ class ToolNode(BaseNode[ToolNodeData]):
json: list[dict] = []
agent_logs: list[AgentLogEvent] = []
agent_execution_metadata: Mapping[NodeRunMetadataKey, Any] = {}
agent_execution_metadata: Mapping[WorkflowNodeExecutionMetadataKey, Any] = {}
variables: dict[str, Any] = {}
@@ -274,7 +274,7 @@ class ToolNode(BaseNode[ToolNodeData]):
agent_execution_metadata = {
key: value
for key, value in msg_metadata.items()
if key in NodeRunMetadataKey.__members__.values()
if key in WorkflowNodeExecutionMetadataKey.__members__.values()
}
json.append(message.message.json_object)
elif message.type == ToolInvokeMessage.MessageType.LINK:
@@ -366,8 +366,8 @@ class ToolNode(BaseNode[ToolNodeData]):
outputs={"text": text, "files": files, "json": json, **variables},
metadata={
**agent_execution_metadata,
NodeRunMetadataKey.TOOL_INFO: tool_info,
NodeRunMetadataKey.AGENT_LOG: agent_logs,
WorkflowNodeExecutionMetadataKey.TOOL_INFO: tool_info,
WorkflowNodeExecutionMetadataKey.AGENT_LOG: agent_logs,
},
inputs=parameters_for_log,
)

20
api/core/workflow/workflow_cycle_manager.py
View File

@@ -20,7 +20,7 @@ from core.ops.ops_trace_manager import TraceQueueManager, TraceTask
from core.workflow.entities.workflow_execution import WorkflowExecution, WorkflowExecutionStatus, WorkflowType
from core.workflow.entities.workflow_node_execution import (
NodeExecution,
NodeRunMetadataKey,
WorkflowNodeExecutionMetadataKey,
WorkflowNodeExecutionStatus,
)
from core.workflow.enums import SystemVariableKey
@@ -210,15 +210,15 @@ class WorkflowCycleManager:
# Create a domain model
created_at = datetime.now(UTC).replace(tzinfo=None)
metadata = {
NodeRunMetadataKey.PARALLEL_MODE_RUN_ID: event.parallel_mode_run_id,
NodeRunMetadataKey.ITERATION_ID: event.in_iteration_id,
NodeRunMetadataKey.LOOP_ID: event.in_loop_id,
WorkflowNodeExecutionMetadataKey.PARALLEL_MODE_RUN_ID: event.parallel_mode_run_id,
WorkflowNodeExecutionMetadataKey.ITERATION_ID: event.in_iteration_id,
WorkflowNodeExecutionMetadataKey.LOOP_ID: event.in_loop_id,
}
domain_execution = NodeExecution(
id=str(uuid4()),
workflow_id=workflow_execution.workflow_id,
workflow_run_id=workflow_execution.id_,
workflow_execution_id=workflow_execution.id_,
predecessor_node_id=event.predecessor_node_id,
index=event.node_run_index,
node_execution_id=event.node_execution_id,
@@ -330,13 +330,13 @@ class WorkflowCycleManager:
# Convert metadata keys to strings
origin_metadata = {
NodeRunMetadataKey.ITERATION_ID: event.in_iteration_id,
NodeRunMetadataKey.PARALLEL_MODE_RUN_ID: event.parallel_mode_run_id,
NodeRunMetadataKey.LOOP_ID: event.in_loop_id,
WorkflowNodeExecutionMetadataKey.ITERATION_ID: event.in_iteration_id,
WorkflowNodeExecutionMetadataKey.PARALLEL_MODE_RUN_ID: event.parallel_mode_run_id,
WorkflowNodeExecutionMetadataKey.LOOP_ID: event.in_loop_id,
}
# Convert execution metadata keys to strings
execution_metadata_dict: dict[NodeRunMetadataKey, str | None] = {}
execution_metadata_dict: dict[WorkflowNodeExecutionMetadataKey, str | None] = {}
if event.execution_metadata:
for key, value in event.execution_metadata.items():
execution_metadata_dict[key] = value
@@ -347,7 +347,7 @@ class WorkflowCycleManager:
domain_execution = NodeExecution(
id=str(uuid4()),
workflow_id=workflow_execution.workflow_id,
workflow_run_id=workflow_execution.id_,
workflow_execution_id=workflow_execution.id_,
predecessor_node_id=event.predecessor_node_id,
node_execution_id=event.node_execution_id,
node_id=event.node_id,