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