'use client'

import type { LLMNodeType } from '../nodes/llm/types'
import type { CommonNodeType } from '../types'
import type { Emoji } from '@/app/components/tools/types'
import { useCallback, useEffect, useMemo } from 'react'
import { useNodes } from 'reactflow'
import { CollectionType } from '@/app/components/tools/types'
import BlockIcon from '@/app/components/workflow/block-icon'
import { registerWorkflowNodeSearch } from '@/app/components/workflow/goto-anything-search'
import {
  useAllBuiltInTools,
  useAllCustomTools,
  useAllMCPTools,
  useAllWorkflowTools,
} from '@/service/use-tools'
import { canFindTool } from '@/utils'
import { BlockEnum } from '../types'
import { setupNodeSelectionListener } from '../utils/node-navigation'
import { useNodesInteractions } from './use-nodes-interactions'

/**
 * Hook to register workflow nodes search functionality
 */
export const useWorkflowSearch = () => {
  const nodes = useNodes()
  const { handleNodeSelect } = useNodesInteractions()

  // Filter and process nodes for search
  const { data: buildInTools } = useAllBuiltInTools()
  const { data: customTools } = useAllCustomTools()
  const { data: workflowTools } = useAllWorkflowTools()
  const { data: mcpTools } = useAllMCPTools()

  // 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 findWorkflowNodes = 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],
  )

  useEffect(() => {
    return registerWorkflowNodeSearch(findWorkflowNodes)
  }, [findWorkflowNodes])

  // Set up node selection event listener using the utility function
  useEffect(() => {
    return setupNodeSelectionListener(handleNodeSelect)
  }, [handleNodeSelect])

  return null
}
