refactor(api): Separate SegmentType for Integer/Float to Enable Pydantic Serialization (#22025)
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.
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@@ -61,7 +61,7 @@ export const ToolIcon = memo(({ providerName }: ToolIconProps) => {
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>
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<div
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className={classNames(
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'size-5 border-[0.5px] border-components-panel-border-subtle bg-background-default-dodge relative flex items-center justify-center rounded-[6px]',
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'relative flex size-5 items-center justify-center rounded-[6px] border-[0.5px] border-components-panel-border-subtle bg-background-default-dodge',
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)}
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ref={containerRef}
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>
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@@ -73,7 +73,7 @@ export const ToolIcon = memo(({ providerName }: ToolIconProps) => {
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src={icon}
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alt='tool icon'
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className={classNames(
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'w-full h-full size-3.5 object-cover',
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'size-3.5 h-full w-full object-cover',
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notSuccess && 'opacity-50',
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)}
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onError={() => setIconFetchError(true)}
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@@ -82,7 +82,7 @@ export const ToolIcon = memo(({ providerName }: ToolIconProps) => {
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if (typeof icon === 'object') {
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return <AppIcon
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className={classNames(
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'w-full h-full size-3.5 object-cover',
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'size-3.5 h-full w-full object-cover',
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notSuccess && 'opacity-50',
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)}
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icon={icon?.content}
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