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refactor(api): Separate SegmentType for Integer/Float to Enable Pydantic Serialization (#22025)

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refactor(api): Separate SegmentType for Integer/Float to Enable Pydantic Serialization (#22025)

This PR addresses serialization issues in the VariablePool model by separating the `value_type` tags for `IntegerSegment`/`FloatSegment` and `IntegerVariable`/`FloatVariable`. Previously, both Integer and Float types shared the same `SegmentType.NUMBER` tag, causing conflicts during serialization.

Key changes:
- Introduce distinct `value_type` tags for Integer and Float segments/variables
- Add `VariableUnion` and `SegmentUnion` types for proper type discrimination
- Leverage Pydantic's discriminated union feature for seamless serialization/deserialization
- Enable accurate serialization of data structures containing these types

Closes #22024.
This commit is contained in:
QuantumGhost
2025-07-16 12:31:37 +08:00
committed by GitHub
parent 229b4d621e
commit 2c1ab4879f
58 changed files with 2325 additions and 328 deletions
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api/core/workflow/nodes/start/start_node.py
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@@ -16,7 +16,7 @@ class StartNode(BaseNode[StartNodeData]):
def _run(self) -> NodeRunResult:
node_inputs = dict(self.graph_runtime_state.variable_pool.user_inputs)
system_inputs = self.graph_runtime_state.variable_pool.system_variables
system_inputs = self.graph_runtime_state.variable_pool.system_variables.to_dict()
# TODO: System variables should be directly accessible, no need for special handling
# Set system variables as node outputs.