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import { useState } from "react"; |
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import { useQuery, useMutation, useQueryClient } from "@tanstack/react-query"; |
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import { Button } from "@/components/ui/button"; |
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import { Input } from "@/components/ui/input"; |
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import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card"; |
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import { Badge } from "@/components/ui/badge"; |
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import { Tabs, TabsContent, TabsList, TabsTrigger } from "@/components/ui/tabs"; |
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import { Textarea } from "@/components/ui/textarea"; |
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import { |
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Brain, |
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Sparkles, |
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FileText, |
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Search, |
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Loader2, |
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TrendingUp, |
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Lightbulb, |
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Target, |
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CheckCircle, |
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AlertCircle |
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} from "lucide-react"; |
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interface AIAssistantProps { |
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onDocumentSelect?: (documentId: number) => void; |
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} |
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interface EnhancedSearchResult { |
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results: any[]; |
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enhancedQuery?: { |
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enhancedQuery: string; |
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intent: string; |
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keywords: string[]; |
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suggestions: string[]; |
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}; |
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searchInsights?: { |
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totalResults: number; |
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avgRelevanceScore: number; |
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modalResultsCount: number; |
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localResultsCount: number; |
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}; |
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} |
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interface ResearchSynthesis { |
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synthesis: string; |
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keyFindings: string[]; |
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gaps: string[]; |
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recommendations: string[]; |
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} |
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export default function AIAssistant({ onDocumentSelect }: AIAssistantProps) { |
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const [query, setQuery] = useState(""); |
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const [selectedDocuments, setSelectedDocuments] = useState<number[]>([]); |
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const [analysisText, setAnalysisText] = useState(""); |
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const queryClient = useQueryClient(); |
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const aiSearchMutation = useMutation({ |
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mutationFn: async (searchQuery: string): Promise<EnhancedSearchResult> => { |
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const response = await fetch("/api/ai-search", { |
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method: "POST", |
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headers: { "Content-Type": "application/json" }, |
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body: JSON.stringify({ |
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query: searchQuery, |
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maxResults: 10, |
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useQueryEnhancement: true |
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}), |
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}); |
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if (!response.ok) throw new Error("Enhanced search failed"); |
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return response.json(); |
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}, |
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onSuccess: () => { |
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queryClient.invalidateQueries({ queryKey: ["/api/search"] }); |
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}, |
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}); |
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const queryEnhancementMutation = useMutation({ |
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mutationFn: async (originalQuery: string) => { |
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const response = await fetch("/api/enhance-query", { |
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method: "POST", |
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headers: { "Content-Type": "application/json" }, |
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body: JSON.stringify({ query: originalQuery }), |
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}); |
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if (!response.ok) throw new Error("Query enhancement failed"); |
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return response.json(); |
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}, |
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}); |
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const documentAnalysisMutation = useMutation({ |
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mutationFn: async ({ content, analysisType }: { content: string; analysisType: string }) => { |
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const response = await fetch("/api/analyze-document", { |
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method: "POST", |
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headers: { "Content-Type": "application/json" }, |
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body: JSON.stringify({ content, analysisType }), |
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}); |
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if (!response.ok) throw new Error("Document analysis failed"); |
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return response.json(); |
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}, |
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}); |
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const researchSynthesisMutation = useMutation({ |
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mutationFn: async ({ query, documentIds }: { query: string; documentIds: number[] }): Promise<ResearchSynthesis> => { |
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const response = await fetch("/api/research-synthesis", { |
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method: "POST", |
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headers: { "Content-Type": "application/json" }, |
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body: JSON.stringify({ query, documentIds }), |
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}); |
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if (!response.ok) throw new Error("Research synthesis failed"); |
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return response.json(); |
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}, |
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}); |
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const embeddingsMutation = useMutation({ |
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mutationFn: async (input: string) => { |
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const response = await fetch("/api/embeddings", { |
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method: "POST", |
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headers: { "Content-Type": "application/json" }, |
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body: JSON.stringify({ input }), |
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}); |
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if (!response.ok) throw new Error("Embedding generation failed"); |
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return response.json(); |
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}, |
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}); |
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const handleEnhancedSearch = () => { |
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if (!query.trim()) return; |
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aiSearchMutation.mutate(query); |
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}; |
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const handleQueryEnhancement = () => { |
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if (!query.trim()) return; |
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queryEnhancementMutation.mutate(query); |
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}; |
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const handleDocumentAnalysis = (analysisType: string) => { |
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if (!analysisText.trim()) return; |
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documentAnalysisMutation.mutate({ content: analysisText, analysisType }); |
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}; |
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const handleResearchSynthesis = () => { |
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if (!query.trim() || selectedDocuments.length === 0) return; |
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researchSynthesisMutation.mutate({ query, documentIds: selectedDocuments }); |
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}; |
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const handleGenerateEmbeddings = () => { |
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if (!query.trim()) return; |
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embeddingsMutation.mutate(query); |
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}; |
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return ( |
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<div className="space-y-6"> |
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<Card className="border-gradient-to-r from-blue-200 to-purple-200 dark:from-blue-800 dark:to-purple-800"> |
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<CardHeader> |
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<CardTitle className="flex items-center gap-2 text-xl"> |
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<Brain className="w-6 h-6 text-blue-600" /> |
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AI Research Assistant |
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<Badge variant="secondary" className="ml-2">Powered by Nebius & Modal</Badge> |
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</CardTitle> |
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</CardHeader> |
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<CardContent> |
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<Tabs defaultValue="search" className="w-full"> |
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<TabsList className="grid grid-cols-4 w-full mb-6"> |
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<TabsTrigger value="search" className="flex items-center gap-2"> |
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<Search className="w-4 h-4" /> |
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Smart Search |
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</TabsTrigger> |
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<TabsTrigger value="analysis" className="flex items-center gap-2"> |
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<FileText className="w-4 h-4" /> |
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Analysis |
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</TabsTrigger> |
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<TabsTrigger value="synthesis" className="flex items-center gap-2"> |
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<Lightbulb className="w-4 h-4" /> |
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Synthesis |
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</TabsTrigger> |
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<TabsTrigger value="embeddings" className="flex items-center gap-2"> |
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<Sparkles className="w-4 h-4" /> |
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Embeddings |
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</TabsTrigger> |
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</TabsList> |
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{/* Enhanced Search Tab */} |
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<TabsContent value="search" className="space-y-4"> |
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<div className="space-y-3"> |
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<div className="flex gap-2"> |
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<Input |
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placeholder="Enter research query for AI-enhanced search..." |
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value={query} |
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onChange={(e) => setQuery(e.target.value)} |
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onKeyDown={(e) => e.key === "Enter" && handleEnhancedSearch()} |
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className="flex-1" |
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/> |
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<Button |
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onClick={handleEnhancedSearch} |
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disabled={!query.trim() || aiSearchMutation.isPending} |
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> |
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{aiSearchMutation.isPending ? ( |
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<Loader2 className="w-4 h-4 animate-spin" /> |
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) : ( |
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<Search className="w-4 h-4" /> |
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)} |
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</Button> |
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</div> |
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<div className="flex gap-2"> |
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<Button |
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variant="outline" |
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size="sm" |
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onClick={handleQueryEnhancement} |
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disabled={!query.trim() || queryEnhancementMutation.isPending} |
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> |
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{queryEnhancementMutation.isPending ? ( |
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<Loader2 className="w-3 h-3 animate-spin mr-1" /> |
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) : ( |
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<Target className="w-3 h-3 mr-1" /> |
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)} |
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Enhance Query |
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</Button> |
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</div> |
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</div> |
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{/* Query Enhancement Results */} |
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{queryEnhancementMutation.data && ( |
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<Card className="bg-blue-50 dark:bg-blue-900/20 border-blue-200 dark:border-blue-800"> |
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<CardContent className="pt-4"> |
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<h4 className="font-semibold text-blue-900 dark:text-blue-100 mb-2">Enhanced Query</h4> |
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<p className="text-sm mb-3 font-mono bg-white dark:bg-gray-800 p-2 rounded"> |
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{queryEnhancementMutation.data.enhancedQuery} |
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</p> |
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<div className="grid grid-cols-1 md:grid-cols-2 gap-3 text-xs"> |
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<div> |
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<span className="font-medium text-blue-800 dark:text-blue-200">Intent:</span> |
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<span className="ml-2">{queryEnhancementMutation.data.intent}</span> |
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</div> |
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<div> |
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<span className="font-medium text-blue-800 dark:text-blue-200">Keywords:</span> |
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<div className="flex flex-wrap gap-1 mt-1"> |
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{queryEnhancementMutation.data.keywords.map((keyword: string, i: number) => ( |
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<Badge key={i} variant="outline" className="text-xs"> |
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{keyword} |
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</Badge> |
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))} |
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</div> |
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</div> |
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</div> |
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</CardContent> |
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</Card> |
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)} |
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{/* Enhanced Search Results */} |
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{aiSearchMutation.data && ( |
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<Card> |
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<CardHeader> |
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<CardTitle className="flex items-center gap-2 text-lg"> |
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<TrendingUp className="w-5 h-5 text-green-600" /> |
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AI-Enhanced Results |
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{aiSearchMutation.data.searchInsights && ( |
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<Badge variant="secondary"> |
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{aiSearchMutation.data.searchInsights.totalResults} results |
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</Badge> |
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)} |
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</CardTitle> |
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</CardHeader> |
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<CardContent className="space-y-3"> |
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{aiSearchMutation.data.searchInsights && ( |
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<div className="grid grid-cols-2 md:grid-cols-4 gap-3 p-3 bg-gray-50 dark:bg-gray-800 rounded-lg text-sm"> |
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<div> |
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<span className="font-medium">Avg Relevance:</span> |
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<span className="ml-1 text-green-600"> |
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{(aiSearchMutation.data.searchInsights.avgRelevanceScore * 100).toFixed(1)}% |
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</span> |
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</div> |
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<div> |
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<span className="font-medium">Modal Results:</span> |
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<span className="ml-1">{aiSearchMutation.data.searchInsights.modalResultsCount}</span> |
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</div> |
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<div> |
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<span className="font-medium">Local Results:</span> |
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<span className="ml-1">{aiSearchMutation.data.searchInsights.localResultsCount}</span> |
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</div> |
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<div> |
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<span className="font-medium">Total:</span> |
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<span className="ml-1">{aiSearchMutation.data.searchInsights.totalResults}</span> |
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</div> |
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</div> |
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)} |
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<div className="space-y-2 max-h-96 overflow-y-auto"> |
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{aiSearchMutation.data.results.map((result: any, index: number) => ( |
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<Card key={index} className="p-3 hover:bg-gray-50 dark:hover:bg-gray-800"> |
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<div className="flex justify-between items-start mb-2"> |
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<h5 className="font-medium text-sm">{result.title}</h5> |
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<div className="flex items-center gap-2"> |
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{result.relevanceScore && ( |
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<Badge variant="outline" className="text-xs"> |
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{(result.relevanceScore * 100).toFixed(0)}% |
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</Badge> |
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)} |
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{result.aiExplanation && ( |
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<CheckCircle className="w-4 h-4 text-green-500" /> |
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)} |
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</div> |
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</div> |
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<p className="text-xs text-gray-600 dark:text-gray-400 mb-2"> |
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{result.snippet} |
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</p> |
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{result.keyReasons && ( |
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<div className="text-xs"> |
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<span className="font-medium">AI Analysis:</span> |
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<ul className="list-disc list-inside ml-2 mt-1"> |
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{result.keyReasons.slice(0, 2).map((reason: string, i: number) => ( |
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<li key={i} className="text-gray-600 dark:text-gray-400">{reason}</li> |
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))} |
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</ul> |
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</div> |
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)} |
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</Card> |
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))} |
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</div> |
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</CardContent> |
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</Card> |
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)} |
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</TabsContent> |
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{/* Document Analysis Tab */} |
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<TabsContent value="analysis" className="space-y-4"> |
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<div className="space-y-3"> |
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<Textarea |
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placeholder="Paste document content for AI analysis..." |
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value={analysisText} |
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onChange={(e) => setAnalysisText(e.target.value)} |
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className="min-h-32" |
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/> |
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<div className="flex gap-2 flex-wrap"> |
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{['summary', 'classification', 'key_points', 'quality_score'].map((type) => ( |
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<Button |
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key={type} |
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variant="outline" |
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size="sm" |
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onClick={() => handleDocumentAnalysis(type)} |
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disabled={!analysisText.trim() || documentAnalysisMutation.isPending} |
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> |
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{documentAnalysisMutation.isPending ? ( |
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<Loader2 className="w-3 h-3 animate-spin mr-1" /> |
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) : ( |
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<FileText className="w-3 h-3 mr-1" /> |
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)} |
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{type.replace('_', ' ').toUpperCase()} |
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</Button> |
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))} |
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</div> |
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</div> |
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{documentAnalysisMutation.data && ( |
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<Card className="bg-green-50 dark:bg-green-900/20 border-green-200 dark:border-green-800"> |
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<CardHeader> |
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<CardTitle className="text-lg flex items-center gap-2"> |
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<CheckCircle className="w-5 h-5 text-green-600" /> |
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Analysis Result |
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</CardTitle> |
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</CardHeader> |
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<CardContent> |
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<div className="whitespace-pre-wrap text-sm"> |
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{documentAnalysisMutation.data.analysis} |
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</div> |
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</CardContent> |
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</Card> |
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)} |
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</TabsContent> |
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{/* Research Synthesis Tab */} |
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<TabsContent value="synthesis" className="space-y-4"> |
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<div className="space-y-3"> |
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<Input |
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placeholder="Research question for synthesis..." |
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value={query} |
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onChange={(e) => setQuery(e.target.value)} |
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/> |
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<div className="flex items-center gap-2"> |
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<span className="text-sm font-medium">Selected Documents:</span> |
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<Badge variant="outline">{selectedDocuments.length}</Badge> |
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<Button |
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size="sm" |
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variant="outline" |
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onClick={() => setSelectedDocuments([])} |
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> |
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Clear |
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</Button> |
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</div> |
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<Button |
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onClick={handleResearchSynthesis} |
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disabled={!query.trim() || selectedDocuments.length === 0 || researchSynthesisMutation.isPending} |
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className="w-full" |
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> |
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{researchSynthesisMutation.isPending ? ( |
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<Loader2 className="w-4 h-4 animate-spin mr-2" /> |
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) : ( |
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<Lightbulb className="w-4 h-4 mr-2" /> |
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)} |
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Generate Research Synthesis |
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</Button> |
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</div> |
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{researchSynthesisMutation.data && ( |
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<Card className="bg-purple-50 dark:bg-purple-900/20 border-purple-200 dark:border-purple-800"> |
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<CardContent className="pt-4 space-y-4"> |
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<div> |
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<h4 className="font-semibold text-purple-900 dark:text-purple-100 mb-2">Synthesis</h4> |
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<p className="text-sm">{researchSynthesisMutation.data.synthesis}</p> |
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</div> |
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{researchSynthesisMutation.data.keyFindings.length > 0 && ( |
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<div> |
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<h4 className="font-semibold text-purple-900 dark:text-purple-100 mb-2">Key Findings</h4> |
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<ul className="list-disc list-inside text-sm space-y-1"> |
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{researchSynthesisMutation.data.keyFindings.map((finding: string, i: number) => ( |
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<li key={i}>{finding}</li> |
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))} |
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</ul> |
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</div> |
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)} |
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{researchSynthesisMutation.data.recommendations.length > 0 && ( |
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<div> |
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<h4 className="font-semibold text-purple-900 dark:text-purple-100 mb-2">Recommendations</h4> |
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<ul className="list-disc list-inside text-sm space-y-1"> |
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{researchSynthesisMutation.data.recommendations.map((rec: string, i: number) => ( |
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<li key={i}>{rec}</li> |
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))} |
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</ul> |
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</div> |
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)} |
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</CardContent> |
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</Card> |
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)} |
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</TabsContent> |
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{/* Embeddings Tab */} |
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<TabsContent value="embeddings" className="space-y-4"> |
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<div className="space-y-3"> |
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<Input |
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placeholder="Text to generate embeddings..." |
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value={query} |
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onChange={(e) => setQuery(e.target.value)} |
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/> |
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<Button |
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onClick={handleGenerateEmbeddings} |
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disabled={!query.trim() || embeddingsMutation.isPending} |
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className="w-full" |
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> |
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{embeddingsMutation.isPending ? ( |
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<Loader2 className="w-4 h-4 animate-spin mr-2" /> |
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) : ( |
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<Sparkles className="w-4 h-4 mr-2" /> |
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)} |
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Generate Embeddings with Nebius |
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</Button> |
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</div> |
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{embeddingsMutation.data && ( |
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<Card className="bg-yellow-50 dark:bg-yellow-900/20 border-yellow-200 dark:border-yellow-800"> |
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<CardContent className="pt-4 space-y-3"> |
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<div className="grid grid-cols-2 gap-4 text-sm"> |
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<div> |
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<span className="font-medium">Model:</span> |
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<span className="ml-2">{embeddingsMutation.data.model}</span> |
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</div> |
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<div> |
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<span className="font-medium">Dimensions:</span> |
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<span className="ml-2">{embeddingsMutation.data.data[0].embedding.length}</span> |
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</div> |
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</div> |
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<div> |
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<span className="font-medium text-sm">Vector (first 10 dimensions):</span> |
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<div className="font-mono text-xs bg-white dark:bg-gray-800 p-2 rounded mt-1 overflow-x-auto"> |
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[{embeddingsMutation.data.data[0].embedding.slice(0, 10).map((val: number) => val.toFixed(4)).join(', ')}...] |
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</div> |
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</div> |
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<div className="text-xs text-gray-600 dark:text-gray-400"> |
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Token usage: {embeddingsMutation.data.usage.total_tokens} tokens |
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</div> |
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</CardContent> |
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</Card> |
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)} |
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</TabsContent> |
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</Tabs> |
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</CardContent> |
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</Card> |
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{/* Error States */} |
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{(aiSearchMutation.error || documentAnalysisMutation.error || researchSynthesisMutation.error || embeddingsMutation.error) && ( |
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<Card className="border-red-200 dark:border-red-800 bg-red-50 dark:bg-red-900/20"> |
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<CardContent className="pt-4"> |
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<div className="flex items-center gap-2 text-red-700 dark:text-red-300"> |
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<AlertCircle className="w-4 h-4" /> |
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<span className="font-medium">Error occurred</span> |
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</div> |
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<p className="text-sm text-red-600 dark:text-red-400 mt-1"> |
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{(aiSearchMutation.error || documentAnalysisMutation.error || researchSynthesisMutation.error || embeddingsMutation.error)?.message} |
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</p> |
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</CardContent> |
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</Card> |
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)} |
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</div> |
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); |
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} |