Files
dify/web/app/components/workflow/hooks/use-workflow-search.tsx

183 lines
6.2 KiB
TypeScript

'use client'
import { useCallback, useEffect, useMemo } from 'react'
import { useNodes } from 'reactflow'
import { useNodesInteractions } from './use-nodes-interactions'
import type { CommonNodeType } from '../types'
import { workflowNodesAction } from '@/app/components/goto-anything/actions/workflow-nodes'
import BlockIcon from '@/app/components/workflow/block-icon'
import { setupNodeSelectionListener } from '../utils/node-navigation'
import { BlockEnum } from '../types'
import { useStore } from '../store'
import type { Emoji } from '@/app/components/tools/types'
import { CollectionType } from '@/app/components/tools/types'
import { canFindTool } from '@/utils'
import type { LLMNodeType } from '../nodes/llm/types'
/**
* Hook to register workflow nodes search functionality
*/
export const useWorkflowSearch = () => {
const nodes = useNodes()
const { handleNodeSelect } = useNodesInteractions()
// Filter and process nodes for search
const buildInTools = useStore(s => s.buildInTools)
const customTools = useStore(s => s.customTools)
const workflowTools = useStore(s => s.workflowTools)
const mcpTools = useStore(s => s.mcpTools)
// Extract tool icon logic - clean separation of concerns
const getToolIcon = useCallback((nodeData: CommonNodeType): string | Emoji | undefined => {
if (nodeData?.type !== BlockEnum.Tool) return undefined
const toolCollections: Record<string, any[]> = {
[CollectionType.builtIn]: buildInTools,
[CollectionType.custom]: customTools,
[CollectionType.mcp]: mcpTools,
}
const targetTools = (nodeData.provider_type && toolCollections[nodeData.provider_type]) || workflowTools
return targetTools.find((tool: any) => canFindTool(tool.id, nodeData.provider_id))?.icon
}, [buildInTools, customTools, workflowTools, mcpTools])
// Extract model info logic - clean extraction
const getModelInfo = useCallback((nodeData: CommonNodeType) => {
if (nodeData?.type !== BlockEnum.LLM) return {}
const llmNodeData = nodeData as LLMNodeType
return llmNodeData.model ? {
provider: llmNodeData.model.provider,
name: llmNodeData.model.name,
mode: llmNodeData.model.mode,
} : {}
}, [])
const searchableNodes = useMemo(() => {
const filteredNodes = nodes.filter((node) => {
if (!node.id || !node.data || node.type === 'sticky') return false
const nodeData = node.data as CommonNodeType
const nodeType = nodeData?.type
const internalStartNodes = ['iteration-start', 'loop-start']
return !internalStartNodes.includes(nodeType)
})
return filteredNodes.map((node) => {
const nodeData = node.data as CommonNodeType
return {
id: node.id,
title: nodeData?.title || nodeData?.type || 'Untitled',
type: nodeData?.type || '',
desc: nodeData?.desc || '',
blockType: nodeData?.type,
nodeData,
toolIcon: getToolIcon(nodeData),
modelInfo: getModelInfo(nodeData),
}
})
}, [nodes, getToolIcon, getModelInfo])
// Calculate search score - clean scoring logic
const calculateScore = useCallback((node: {
title: string;
type: string;
desc: string;
modelInfo: { provider?: string; name?: string; mode?: string }
}, searchTerm: string): number => {
if (!searchTerm) return 1
const titleMatch = node.title.toLowerCase()
const typeMatch = node.type.toLowerCase()
const descMatch = node.desc?.toLowerCase() || ''
const modelProviderMatch = node.modelInfo?.provider?.toLowerCase() || ''
const modelNameMatch = node.modelInfo?.name?.toLowerCase() || ''
const modelModeMatch = node.modelInfo?.mode?.toLowerCase() || ''
let score = 0
// Title matching (exact prefix > partial match)
if (titleMatch.startsWith(searchTerm)) score += 100
else if (titleMatch.includes(searchTerm)) score += 50
// Type matching (exact > partial)
if (typeMatch === searchTerm) score += 80
else if (typeMatch.includes(searchTerm)) score += 30
// Description matching (additive)
if (descMatch.includes(searchTerm)) score += 20
// LLM model matching (additive - can combine multiple matches)
if (modelNameMatch && modelNameMatch.includes(searchTerm)) score += 60
if (modelProviderMatch && modelProviderMatch.includes(searchTerm)) score += 40
if (modelModeMatch && modelModeMatch.includes(searchTerm)) score += 30
return score
}, [])
// Create search function for workflow nodes
const searchWorkflowNodes = useCallback((query: string) => {
if (!searchableNodes.length) return []
const searchTerm = query.toLowerCase().trim()
const results = searchableNodes
.map((node) => {
const score = calculateScore(node, searchTerm)
return score > 0 ? {
id: node.id,
title: node.title,
description: node.desc || node.type,
type: 'workflow-node' as const,
path: `#${node.id}`,
icon: (
<BlockIcon
type={node.blockType}
className="shrink-0"
size="sm"
toolIcon={node.toolIcon}
/>
),
metadata: {
nodeId: node.id,
nodeData: node.nodeData,
},
data: node.nodeData,
score,
} : null
})
.filter((node): node is NonNullable<typeof node> => node !== null)
.sort((a, b) => {
// If no search term, sort alphabetically
if (!searchTerm) return a.title.localeCompare(b.title)
// Sort by relevance score (higher score first)
return (b.score || 0) - (a.score || 0)
})
return results
}, [searchableNodes, calculateScore])
// Directly set the search function on the action object
useEffect(() => {
if (searchableNodes.length > 0) {
// Set the search function directly on the action
workflowNodesAction.searchFn = searchWorkflowNodes
}
return () => {
// Clean up when component unmounts
workflowNodesAction.searchFn = undefined
}
}, [searchableNodes, searchWorkflowNodes])
// Set up node selection event listener using the utility function
useEffect(() => {
return setupNodeSelectionListener(handleNodeSelect)
}, [handleNodeSelect])
return null
}