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feat: Persist Variables for Enhanced Debugging Workflow (#20699)

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This pull request introduces a feature aimed at improving the debugging experience during workflow editing. With the addition of variable persistence, the system will automatically retain the output variables from previously executed nodes. These persisted variables can then be reused when debugging subsequent nodes, eliminating the need for repetitive manual input.

By streamlining this aspect of the workflow, the feature minimizes user errors and significantly reduces debugging effort, offering a smoother and more efficient experience.

Key highlights of this change:

- Automatic persistence of output variables for executed nodes.
- Reuse of persisted variables to simplify input steps for nodes requiring them (e.g., `code`, `template`, `variable_assigner`).
- Enhanced debugging experience with reduced friction.

Closes #19735.
This commit is contained in:
QuantumGhost
2025-06-24 09:05:29 +08:00
committed by GitHub
parent 3113350e51
commit 10b738a296
106 changed files with 6025 additions and 718 deletions
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2
api/core/workflow/graph_engine/entities/event.py
View File

@@ -66,6 +66,8 @@ class BaseNodeEvent(GraphEngineEvent):
"""iteration id if node is in iteration"""
in_loop_id: Optional[str] = None
"""loop id if node is in loop"""
# The version of the node, or "1" if not specified.
node_version: str = "1"
class NodeRunStartedEvent(BaseNodeEvent):

9
api/core/workflow/graph_engine/graph_engine.py
View File

@@ -314,6 +314,7 @@ class GraphEngine:
parallel_start_node_id=parallel_start_node_id,
parent_parallel_id=parent_parallel_id,
parent_parallel_start_node_id=parent_parallel_start_node_id,
node_version=node_instance.version(),
)
raise e
@@ -627,6 +628,7 @@ class GraphEngine:
parent_parallel_id=parent_parallel_id,
parent_parallel_start_node_id=parent_parallel_start_node_id,
agent_strategy=agent_strategy,
node_version=node_instance.version(),
)
max_retries = node_instance.node_data.retry_config.max_retries
@@ -677,6 +679,7 @@ class GraphEngine:
error=run_result.error or "Unknown error",
retry_index=retries,
start_at=retry_start_at,
node_version=node_instance.version(),
)
time.sleep(retry_interval)
break
@@ -712,6 +715,7 @@ class GraphEngine:
parallel_start_node_id=parallel_start_node_id,
parent_parallel_id=parent_parallel_id,
parent_parallel_start_node_id=parent_parallel_start_node_id,
node_version=node_instance.version(),
)
should_continue_retry = False
else:
@@ -726,6 +730,7 @@ class GraphEngine:
parallel_start_node_id=parallel_start_node_id,
parent_parallel_id=parent_parallel_id,
parent_parallel_start_node_id=parent_parallel_start_node_id,
node_version=node_instance.version(),
)
should_continue_retry = False
elif run_result.status == WorkflowNodeExecutionStatus.SUCCEEDED:
@@ -786,6 +791,7 @@ class GraphEngine:
parallel_start_node_id=parallel_start_node_id,
parent_parallel_id=parent_parallel_id,
parent_parallel_start_node_id=parent_parallel_start_node_id,
node_version=node_instance.version(),
)
should_continue_retry = False
@@ -803,6 +809,7 @@ class GraphEngine:
parallel_start_node_id=parallel_start_node_id,
parent_parallel_id=parent_parallel_id,
parent_parallel_start_node_id=parent_parallel_start_node_id,
node_version=node_instance.version(),
)
elif isinstance(event, RunRetrieverResourceEvent):
yield NodeRunRetrieverResourceEvent(
@@ -817,6 +824,7 @@ class GraphEngine:
parallel_start_node_id=parallel_start_node_id,
parent_parallel_id=parent_parallel_id,
parent_parallel_start_node_id=parent_parallel_start_node_id,
node_version=node_instance.version(),
)
except GenerateTaskStoppedError:
# trigger node run failed event
@@ -833,6 +841,7 @@ class GraphEngine:
parallel_start_node_id=parallel_start_node_id,
parent_parallel_id=parent_parallel_id,
parent_parallel_start_node_id=parent_parallel_start_node_id,
node_version=node_instance.version(),
)
return
except Exception as e: