mirror of
https://github.com/langgenius/dify.git
synced 2026-05-02 16:38:04 +08:00
Frontend: - Migrate deprecated imports: modal→dialog, toast→ui/toast, tooltip→tooltip-plus, portal-to-follow-elem→portal-to-follow-elem-plus, select→ui/select, confirm→alert-dialog - Replace next/* with @/next/* wrapper modules - Convert TypeScript enums to const objects (erasable-syntax-only) - Replace all `any` types with `unknown` or specific types in workflow types - Fix unused vars, react-hooks-extra, react-refresh/only-export-components - Extract InteractionMode to separate module, tool-block commands to commands.ts Backend: - Fix pyrefly errors: type narrowing, null guards, getattr patterns - Remove unused TYPE_CHECKING imports in LLM node - Add ignore_imports entries to .importlinter for dify_graph boundary violations Made-with: Cursor
90 lines
2.4 KiB
TypeScript
90 lines
2.4 KiB
TypeScript
import type { Features as FeaturesData } from '@/app/components/base/features/types'
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import type { InjectWorkflowStoreSliceFn } from '@/app/components/workflow/store'
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import { useMemo } from 'react'
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import { FeaturesProvider } from '@/app/components/base/features'
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import Loading from '@/app/components/base/loading'
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import WorkflowWithDefaultContext from '@/app/components/workflow'
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import {
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WorkflowContextProvider,
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} from '@/app/components/workflow/context'
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import {
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initialEdges,
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initialNodes,
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} from '@/app/components/workflow/utils'
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import { useDatasetDetailContextWithSelector } from '@/context/dataset-detail'
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import Conversion from './components/conversion'
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import RagPipelineMain from './components/rag-pipeline-main'
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import { usePipelineInit } from './hooks'
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import { createRagPipelineSliceSlice } from './store'
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import { processNodesWithoutDataSource } from './utils'
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const RagPipeline = () => {
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const {
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data,
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isLoading,
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} = usePipelineInit()
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const nodesData = useMemo(() => {
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if (data)
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return initialNodes(data.graph.nodes, data.graph.edges)
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return []
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}, [data])
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const edgesData = useMemo(() => {
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if (data)
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return initialEdges(data.graph.edges, data.graph.nodes)
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return []
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}, [data])
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const initialFeatures = useMemo(() => {
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const features = data?.features || {}
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return {
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sandbox: features.sandbox || { enabled: false },
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} as FeaturesData
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}, [data?.features])
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if (!data || isLoading) {
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return (
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<div className="relative flex h-full w-full items-center justify-center">
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<Loading />
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</div>
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)
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}
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const {
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nodes: processedNodes,
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viewport,
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} = processNodesWithoutDataSource(nodesData, data.graph.viewport)
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return (
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<WorkflowWithDefaultContext
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edges={edgesData}
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nodes={processedNodes}
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>
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<FeaturesProvider features={initialFeatures}>
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<RagPipelineMain
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edges={edgesData}
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nodes={processedNodes}
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viewport={viewport}
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/>
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</FeaturesProvider>
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</WorkflowWithDefaultContext>
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)
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}
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const RagPipelineWrapper = () => {
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const pipelineId = useDatasetDetailContextWithSelector(s => s.dataset?.pipeline_id)
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if (!pipelineId)
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return <Conversion />
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return (
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<WorkflowContextProvider
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injectWorkflowStoreSliceFn={createRagPipelineSliceSlice as InjectWorkflowStoreSliceFn}
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>
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<RagPipeline />
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</WorkflowContextProvider>
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)
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}
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export default RagPipelineWrapper
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