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2421 | 'use client' import { useState, useCallback, useEffect, useRef, useMemo } from 'react' import { createSocket } from '@/lib/socket' import { useRouter, useSearchParams } from 'next/navigation' import * as Dialog from '@radix-ui/react-dialog' import { loadFlowchart, type GeneratedExample } from '@/lib/flowcharts/loader' import type { FlowchartDefinition } from '@/lib/flowcharts/schema' import { downloadFlowchartPDF } from '@/lib/flowcharts/pdf-export' import type { ExecutableFlowchart, ProblemValue } from '@/lib/flowcharts/schema' import { generateExamplesAsync } from '@/lib/flowcharts/example-generator-client' import { diagnoseFlowchart, type DiagnosticReport } from '@/lib/flowcharts/doctor' import { FlowchartModal, FlowchartCard, DeleteToastContainer, type PendingDeletion, } from '@/components/flowchart' import { Tooltip } from '@/components/ui/Tooltip' import { useCreateWorkshopSession } from '@/hooks/useWorkshopSession' import { agglomerativeClustering, subsetDistanceMatrix, distIndex, } from '@/lib/flowcharts/clustering' import { css } from '../../../styled-system/css' import { vstack, hstack } from '../../../styled-system/patterns' type ModalState = | { type: 'closed' } | { type: 'loading'; flowchartId: string } | { type: 'inputting'; flowchartId: string; flowchart: ExecutableFlowchart } | { type: 'error'; flowchartId: string; message: string } type FilterType = 'all' | 'published' | 'drafts' interface WorkshopSession { id: string state: string topicDescription: string | null draftTitle: string | null draftEmoji: string | null draftDefinitionJson: string | null draftMermaidContent: string | null createdAt: string updatedAt: string } interface EmbeddingSearchResult { id: string title: string description: string emoji: string difficulty: string similarity: number source: 'hardcoded' | 'database' } interface KeywordSearchResult { id: string title: string description: string emoji: string type: 'draft' | 'published' sessionId?: string // For drafts, to navigate to workshop } interface PublishedFlowchart { id: string title: string description: string emoji: string difficulty: string source: 'hardcoded' | 'database' authorId?: string // Only for database flowcharts publishedAt: string | null hasEmbedding?: boolean } const CLUSTER_COLORS = [ { border: { base: 'purple.400', _dark: 'purple.500' }, bg: { base: 'purple.50', _dark: 'purple.950' }, text: { base: 'purple.600', _dark: 'purple.400' }, line: { base: 'purple.200', _dark: 'purple.800' }, }, { border: { base: 'teal.400', _dark: 'teal.500' }, bg: { base: 'teal.50', _dark: 'teal.950' }, text: { base: 'teal.600', _dark: 'teal.400' }, line: { base: 'teal.200', _dark: 'teal.800' }, }, { border: { base: 'orange.400', _dark: 'orange.500' }, bg: { base: 'orange.50', _dark: 'orange.950' }, text: { base: 'orange.600', _dark: 'orange.400' }, line: { base: 'orange.200', _dark: 'orange.800' }, }, { border: { base: 'pink.400', _dark: 'pink.500' }, bg: { base: 'pink.50', _dark: 'pink.950' }, text: { base: 'pink.600', _dark: 'pink.400' }, line: { base: 'pink.200', _dark: 'pink.800' }, }, ] export default function FlowchartPickerPage() { const router = useRouter() const searchParams = useSearchParams() // The selected flowchart ID from URL query param const selectedId = searchParams.get('select') // Internal modal state (loading/inputting/error) - derived from URL + async loading const [modalState, setModalState] = useState<ModalState>({ type: 'closed' }) // Create workshop session mutation const { mutate: createSession, isPending: isCreatingFromSearch } = useCreateWorkshopSession() // Filter state const [filter, setFilter] = useState<FilterType>('all') // Published flowcharts state (both hardcoded and user-created) const [publishedFlowcharts, setPublishedFlowcharts] = useState<PublishedFlowchart[]>([]) const [isLoadingPublished, setIsLoadingPublished] = useState(true) const [currentUserId, setCurrentUserId] = useState<string | null>(null) // Draft sessions state const [draftSessions, setDraftSessions] = useState<WorkshopSession[]>([]) const [isLoadingDrafts, setIsLoadingDrafts] = useState(true) // Distance matrix for clustering (from browse API) const [distanceData, setDistanceData] = useState<{ ids: string[]; matrix: number[] } | null>(null) // Label breadth scores for diversity-aware label assignment const [labelBreadths, setLabelBreadths] = useState<Record<string, number> | null>(null) // Pending deletions for undo functionality const [pendingDeletions, setPendingDeletions] = useState<PendingDeletion[]>([]) // PDF download state (tracks which flowchart is currently being exported) const [exportingPdfId, setExportingPdfId] = useState<string | null>(null) // Embedding generation state const [isGeneratingEmbeddings, setIsGeneratingEmbeddings] = useState(false) const [generatingEmbeddingIds, setGeneratingEmbeddingIds] = useState<Set<string>>(new Set()) // Search state const [searchQuery, setSearchQuery] = useState('') const [embeddingResults, setEmbeddingResults] = useState<EmbeddingSearchResult[]>([]) const [keywordResults, setKeywordResults] = useState<KeywordSearchResult[]>([]) const [isSearching, setIsSearching] = useState(false) const searchTimeoutRef = useRef<ReturnType<typeof setTimeout> | null>(null) // Taxonomy navigation path - supports full breadcrumb trail // Stored in URL as JSON-encoded array of {label, ids} objects type ScopeLevel = { label: string; ids: string[] } const scopePath = useMemo<ScopeLevel[]>(() => { const encoded = searchParams.get('scopePath') if (!encoded) return [] try { return JSON.parse(decodeURIComponent(encoded)) } catch { return [] } }, [searchParams]) // Current scope is the deepest level in the path const scopedFlowchartIds = scopePath.length > 0 ? scopePath[scopePath.length - 1].ids : null const scopeLabel = scopePath.length > 0 ? scopePath[scopePath.length - 1].label : null // Helper to navigate deeper into a scope const navigateToScope = useCallback( (ids: string[], label: string) => { const newPath = [...scopePath, { label, ids }] const params = new URLSearchParams(searchParams.toString()) params.set('scopePath', encodeURIComponent(JSON.stringify(newPath))) router.push(`?${params.toString()}`, { scroll: false }) }, [router, searchParams, scopePath] ) // Navigate to a specific level in the breadcrumb (0 = root/all) const navigateToLevel = useCallback( (level: number) => { const params = new URLSearchParams(searchParams.toString()) if (level === 0) { params.delete('scopePath') } else { const newPath = scopePath.slice(0, level) params.set('scopePath', encodeURIComponent(JSON.stringify(newPath))) } const queryString = params.toString() router.push(queryString ? `?${queryString}` : '/flowchart', { scroll: false }) }, [router, searchParams, scopePath] ) // Examples for animated card backgrounds (generated client-side) // Unified map for both published flowcharts (keyed by flowchart ID) and drafts (keyed by session ID) const [cardExamples, setCardExamples] = useState< Map< string, { flowchart: ExecutableFlowchart examples: GeneratedExample[] diagnosticReport: DiagnosticReport } > >(new Map()) // Track IDs currently being generated to prevent duplicate work const generatingIdsRef = useRef<Set<string>>(new Set()) // Grid ref and column count for responsive "Explore" button visibility const gridRef = useRef<HTMLDivElement>(null) const [gridColumnCount, setGridColumnCount] = useState(4) // Default to 4 columns // Measure grid column count on resize useEffect(() => { const grid = gridRef.current if (!grid) return const measureColumns = () => { const style = window.getComputedStyle(grid) const columns = style.gridTemplateColumns.split(' ').length setGridColumnCount(columns) } measureColumns() const observer = new ResizeObserver(measureColumns) observer.observe(grid) return () => observer.disconnect() }, []) // Compute diagnostics for draft sessions (memoized) const draftDiagnostics = useMemo(() => { const diagnosticsMap = new Map<string, DiagnosticReport>() for (const session of draftSessions) { if (session.draftDefinitionJson) { try { const definition: FlowchartDefinition = JSON.parse(session.draftDefinitionJson) const report = diagnoseFlowchart(definition, session.draftMermaidContent || undefined) diagnosticsMap.set(session.id, report) } catch { // Invalid JSON, skip } } } return diagnosticsMap }, [draftSessions]) // Memoized clustering: recompute when filter or distance data changes const clusterAssignments = useMemo(() => { if (!distanceData) return null // Partition IDs into flowchart IDs and label IDs const LABEL_PREFIX = 'label:' const flowchartDistIds = distanceData.ids.filter((id) => !id.startsWith(LABEL_PREFIX)) const labelDistIds = distanceData.ids.filter((id) => id.startsWith(LABEL_PREFIX)) // Only cluster published flowcharts (drafts don't have embeddings) // When scoped, only include flowcharts in the scope const baseIds = filter === 'drafts' ? [] : publishedFlowcharts.map((fc) => fc.id) const visibleIds = scopedFlowchartIds ? baseIds.filter((id) => scopedFlowchartIds.includes(id)) : baseIds // Subset distance matrix to visible flowchart IDs that have embeddings const subset = subsetDistanceMatrix(distanceData.ids, distanceData.matrix, visibleIds) if (subset.ids.length < 2) return null const result = agglomerativeClustering(subset.ids.length, subset.matrix) // Build Map<flowchartId, clusterIndex> for O(1) lookup const map = new Map<string, number>() subset.ids.forEach((id, i) => map.set(id, result.assignments[i])) // Collect unique emojis per cluster (max 5) const clusterEmojis: string[][] = Array.from({ length: result.k }, () => []) subset.ids.forEach((id, i) => { const ci = result.assignments[i] const fc = publishedFlowcharts.find((f) => f.id === id) const emoji = fc?.emoji || '📊' if (!clusterEmojis[ci].includes(emoji) && clusterEmojis[ci].length < 5) { clusterEmojis[ci].push(emoji) } }) // Assign topic labels to clusters using the full distance matrix const clusterLabels: (string | null)[] = Array.from({ length: result.k }, () => null) const clusterRunnerUps: { label: string; score: number }[][] = Array.from( { length: result.k }, () => [] ) const clusterDiversityScores: number[] = Array.from({ length: result.k }, () => 0) const flowchartMatchStrengths = new Map<string, number>() // flowchartId -> 0-100 match strength if (labelDistIds.length > 0) { const fullN = distanceData.ids.length const fullIdxMap = new Map<string, number>() distanceData.ids.forEach((id, i) => fullIdxMap.set(id, i)) // Compute cluster diversity (avg pairwise distance within cluster) // Used to bias toward broader labels for diverse clusters const clusterDiversities: number[] = [] for (let ci = 0; ci < result.k; ci++) { const members = subset.ids.filter((_, i) => result.assignments[i] === ci) if (members.length < 2) { clusterDiversities.push(0) continue } let totalDist = 0 let pairCount = 0 for (let i = 0; i < members.length; i++) { for (let j = i + 1; j < members.length; j++) { const idxI = fullIdxMap.get(members[i])! const idxJ = fullIdxMap.get(members[j])! totalDist += distanceData.matrix[distIndex(idxI, idxJ, fullN)] pairCount++ } } const diversity = pairCount > 0 ? totalDist / pairCount : 0 clusterDiversities.push(diversity) clusterDiversityScores[ci] = diversity } // Find max breadth for normalization const maxBreadth = labelBreadths ? Math.max(1, ...Object.values(labelBreadths)) : 1 // For each label, compute MAX distance to cluster members (worst match). // For diverse clusters, give a bonus to broad labels. type LabelScore = { label: string; clusterIdx: number; maxDist: number; adjustedDist: number } const scores: LabelScore[] = [] const DIVERSITY_THRESHOLD = 0.35 // Clusters more diverse than this get breadth bonus for (const lid of labelDistIds) { const labelIdx = fullIdxMap.get(lid)! const labelName = lid.slice(LABEL_PREFIX.length) const breadth = labelBreadths?.[labelName] ?? 0 const normalizedBreadth = breadth / maxBreadth // 0 to 1 for (let ci = 0; ci < result.k; ci++) { const members = subset.ids.filter((_, i) => result.assignments[i] === ci) if (members.length === 0) continue let maxDist = 0 for (const mid of members) { const memberIdx = fullIdxMap.get(mid)! const dist = distanceData.matrix[distIndex(labelIdx, memberIdx, fullN)] if (dist > maxDist) maxDist = dist } // For diverse clusters, give bonus to broad labels const isDiverse = clusterDiversities[ci] > DIVERSITY_THRESHOLD const breadthBonus = isDiverse ? normalizedBreadth * 0.15 : 0 const adjustedDist = maxDist - breadthBonus scores.push({ label: labelName, clusterIdx: ci, maxDist, adjustedDist }) } } // Sort by adjusted distance (best matches first = lowest adjusted distance) scores.sort((a, b) => a.adjustedDist - b.adjustedDist) // Collect top 3 labels per cluster (before greedy assignment removes options) const clusterTopLabels: Map<number, { label: string; score: number }[]> = new Map() for (const score of scores) { if (score.maxDist > 0.75) continue // Skip poor matches const existing = clusterTopLabels.get(score.clusterIdx) || [] if (existing.length < 4) { existing.push({ label: score.label, score: Math.round((1 - score.adjustedDist) * 100) }) clusterTopLabels.set(score.clusterIdx, existing) } } // Greedy assignment: best label first, no label reuse const usedLabels = new Set<string>() const assignedClusters = new Set<number>() for (const score of scores) { if (usedLabels.has(score.label) || assignedClusters.has(score.clusterIdx)) continue // Only assign if the worst match is still reasonable (threshold 0.75) if (score.maxDist > 0.75) continue clusterLabels[score.clusterIdx] = score.label usedLabels.add(score.label) assignedClusters.add(score.clusterIdx) if (assignedClusters.size === result.k) break } // Set runner-ups (exclude the assigned label) for (let ci = 0; ci < result.k; ci++) { const topLabels = clusterTopLabels.get(ci) || [] const assignedLabel = clusterLabels[ci] clusterRunnerUps[ci] = topLabels.filter((l) => l.label !== assignedLabel).slice(0, 3) } // Compute match strength per flowchart (how well it fits its assigned label) for (let ci = 0; ci < result.k; ci++) { const assignedLabel = clusterLabels[ci] if (!assignedLabel) continue const labelIdx = fullIdxMap.get(`${LABEL_PREFIX}${assignedLabel}`) if (labelIdx === undefined) continue const members = subset.ids.filter((_, i) => result.assignments[i] === ci) for (const mid of members) { const memberIdx = fullIdxMap.get(mid)! const dist = distanceData.matrix[distIndex(labelIdx, memberIdx, fullN)] // Convert distance (0-1) to match strength (100-0), clamped const strength = Math.round(Math.max(0, Math.min(100, (1 - dist) * 125 - 10))) flowchartMatchStrengths.set(mid, strength) } } } return { map, k: result.k, centroids: result.centroids, ids: subset.ids, clusterEmojis, clusterLabels, clusterRunnerUps, clusterDiversityScores, flowchartMatchStrengths, } }, [distanceData, publishedFlowcharts, filter, scopedFlowchartIds, labelBreadths]) // Memoized clustering for semantic search results const semanticClusterAssignments = useMemo(() => { if (!distanceData || embeddingResults.length < 2) return null const LABEL_PREFIX = 'label:' const labelDistIds = distanceData.ids.filter((id) => id.startsWith(LABEL_PREFIX)) // Get IDs from embedding results that exist in the distance data const resultIds = embeddingResults.map((r) => r.id) // Subset distance matrix to search result IDs const subset = subsetDistanceMatrix(distanceData.ids, distanceData.matrix, resultIds) if (subset.ids.length < 2) return null const result = agglomerativeClustering(subset.ids.length, subset.matrix) // Build Map<flowchartId, clusterIndex> for O(1) lookup const map = new Map<string, number>() subset.ids.forEach((id, i) => map.set(id, result.assignments[i])) // Collect unique emojis per cluster (max 5) const clusterEmojis: string[][] = Array.from({ length: result.k }, () => []) subset.ids.forEach((id, i) => { const ci = result.assignments[i] const sr = embeddingResults.find((r) => r.id === id) const emoji = sr?.emoji || '📊' if (!clusterEmojis[ci].includes(emoji) && clusterEmojis[ci].length < 5) { clusterEmojis[ci].push(emoji) } }) // Assign topic labels to clusters using diversity-aware scoring const clusterLabels: (string | null)[] = Array.from({ length: result.k }, () => null) if (labelDistIds.length > 0) { const fullN = distanceData.ids.length const fullIdxMap = new Map<string, number>() distanceData.ids.forEach((id, i) => fullIdxMap.set(id, i)) // Compute cluster diversity const clusterDiversities: number[] = [] for (let ci = 0; ci < result.k; ci++) { const members = subset.ids.filter((_, i) => result.assignments[i] === ci) if (members.length < 2) { clusterDiversities.push(0) continue } let totalDist = 0 let pairCount = 0 for (let i = 0; i < members.length; i++) { for (let j = i + 1; j < members.length; j++) { const idxI = fullIdxMap.get(members[i]) const idxJ = fullIdxMap.get(members[j]) if (idxI !== undefined && idxJ !== undefined) { totalDist += distanceData.matrix[distIndex(idxI, idxJ, fullN)] pairCount++ } } } clusterDiversities.push(pairCount > 0 ? totalDist / pairCount : 0) } const maxBreadth = labelBreadths ? Math.max(1, ...Object.values(labelBreadths)) : 1 const DIVERSITY_THRESHOLD = 0.35 type LabelScore = { label: string; clusterIdx: number; maxDist: number; adjustedDist: number } const scores: LabelScore[] = [] for (const lid of labelDistIds) { const labelIdx = fullIdxMap.get(lid)! const labelName = lid.slice(LABEL_PREFIX.length) const breadth = labelBreadths?.[labelName] ?? 0 const normalizedBreadth = breadth / maxBreadth for (let ci = 0; ci < result.k; ci++) { const members = subset.ids.filter((_, i) => result.assignments[i] === ci) if (members.length === 0) continue let maxDist = 0 for (const mid of members) { const memberIdx = fullIdxMap.get(mid) if (memberIdx === undefined) continue const dist = distanceData.matrix[distIndex(labelIdx, memberIdx, fullN)] if (dist > maxDist) maxDist = dist } const isDiverse = clusterDiversities[ci] > DIVERSITY_THRESHOLD const breadthBonus = isDiverse ? normalizedBreadth * 0.15 : 0 const adjustedDist = maxDist - breadthBonus scores.push({ label: labelName, clusterIdx: ci, maxDist, adjustedDist }) } } scores.sort((a, b) => a.adjustedDist - b.adjustedDist) const usedLabels = new Set<string>() const assignedClusters = new Set<number>() for (const score of scores) { if (usedLabels.has(score.label) || assignedClusters.has(score.clusterIdx)) continue if (score.maxDist > 0.75) continue clusterLabels[score.clusterIdx] = score.label usedLabels.add(score.label) assignedClusters.add(score.clusterIdx) if (assignedClusters.size === result.k) break } } return { map, k: result.k, ids: subset.ids, clusterEmojis, clusterLabels } }, [distanceData, embeddingResults, labelBreadths]) // Load published flowcharts (hardcoded + user-created) const loadPublished = useCallback(async () => { try { const response = await fetch('/api/flowcharts/browse') if (response.ok) { const data = await response.json() setPublishedFlowcharts(data.flowcharts || []) setCurrentUserId(data.currentUserId || null) setDistanceData(data.distances ?? null) setLabelBreadths(data.labelBreadths ?? null) } } catch (err) { console.error('Failed to load published flowcharts:', err) } finally { setIsLoadingPublished(false) } }, []) const handleGenerateEmbeddings = useCallback(async () => { setIsGeneratingEmbeddings(true) try { const res = await fetch('/api/flowcharts/seed-embeddings/task', { method: 'POST' }) if (!res.ok) { console.error('Failed to start embedding task') setIsGeneratingEmbeddings(false) return } const { taskId } = await res.json() const socket = createSocket() socket.on('connect', () => { socket.emit('task:subscribe', taskId) }) // Handle task already completed/failed before socket connected socket.on('task:state', (state: { id: string; status: string }) => { if (state.id !== taskId) return if ( state.status === 'completed' || state.status === 'failed' || state.status === 'cancelled' ) { setIsGeneratingEmbeddings(false) socket.disconnect() if (state.status === 'completed') { loadPublished() } } }) socket.on( 'task:event', (event: { taskId: string; eventType: string; payload: Record<string, unknown> }) => { if (event.taskId !== taskId) return if ( event.eventType === 'embed_complete' || event.eventType === 'completed' || event.eventType === 'failed' || event.eventType === 'cancelled' ) { setIsGeneratingEmbeddings(false) socket.emit('task:unsubscribe', taskId) socket.disconnect() if (event.eventType === 'embed_complete' || event.eventType === 'completed') { loadPublished() } } } ) } catch (err) { console.error('Failed to generate embeddings:', err) setIsGeneratingEmbeddings(false) } }, [loadPublished]) const handleGenerateCardEmbedding = useCallback( async (id: string) => { setGeneratingEmbeddingIds((prev) => new Set(prev).add(id)) try { const res = await fetch(`/api/flowcharts/${id}/embedding`, { method: 'POST' }) if (res.ok) { await loadPublished() } } catch (err) { console.error('Failed to generate embedding for', id, err) } finally { setGeneratingEmbeddingIds((prev) => { const next = new Set(prev) next.delete(id) return next }) } }, [loadPublished] ) useEffect(() => { loadPublished() }, [loadPublished]) // Load draft sessions useEffect(() => { async function loadDrafts() { try { const response = await fetch('/api/flowchart-workshop/sessions') if (response.ok) { const data = await response.json() setDraftSessions(data.sessions || []) } } catch (err) { console.error('Failed to load draft sessions:', err) } finally { setIsLoadingDrafts(false) } } loadDrafts() }, []) // Generate examples for ALL flowcharts (published + drafts) in a single unified effect // Uses concurrent generation - the worker pool properly queues requests via request IDs useEffect(() => { if (isLoadingPublished || isLoadingDrafts) return // Collect all items that need examples generated type ItemToGenerate = { id: string title: string type: 'published' | 'draft' // For drafts only: definitionJson?: string mermaidContent?: string } const itemsToGenerate: ItemToGenerate[] = [] // Add published flowcharts (all from database now) for (const fc of publishedFlowcharts) { if (cardExamples.has(fc.id) || generatingIdsRef.current.has(fc.id)) continue itemsToGenerate.push({ id: fc.id, title: fc.title, type: 'published', }) } // Add healthy drafts with valid definitions for (const session of draftSessions) { if (cardExamples.has(session.id) || generatingIdsRef.current.has(session.id)) continue if (!session.draftDefinitionJson || !session.draftMermaidContent) continue // Only include healthy drafts const report = draftDiagnostics.get(session.id) if (report && !report.isHealthy) continue itemsToGenerate.push({ id: session.id, title: session.draftTitle || 'Untitled Draft', type: 'draft', definitionJson: session.draftDefinitionJson, mermaidContent: session.draftMermaidContent, }) } if (itemsToGenerate.length === 0) return // Mark all as generating before starting for (const item of itemsToGenerate) { generatingIdsRef.current.add(item.id) } // Generate examples for a single item async function generateForItem(item: ItemToGenerate): Promise<void> { try { let executable: ExecutableFlowchart let mermaidContent: string | undefined if (item.type === 'published') { // All published flowcharts are loaded from database via API const response = await fetch(`/api/flowcharts/${item.id}`) if (!response.ok) return const data = await response.json() const { definition, mermaid } = data.flowchart as { definition: FlowchartDefinition mermaid: string } executable = await loadFlowchart(definition, mermaid) mermaidContent = mermaid } else { // Draft - use local JSON from session const definition: FlowchartDefinition = JSON.parse(item.definitionJson!) executable = await loadFlowchart(definition, item.mermaidContent!) mermaidContent = item.mermaidContent } const diagnosticReport = diagnoseFlowchart(executable.definition, mermaidContent) const examples = await generateExamplesAsync(executable, 10, {}) setCardExamples((prev) => new Map(prev).set(item.id, { flowchart: executable, examples, diagnosticReport }) ) } catch (err) { console.error(`[Examples] Failed to generate for ${item.title}:`, err) } finally { generatingIdsRef.current.delete(item.id) } } // Generate all examples concurrently - the worker pool handles queuing Promise.all(itemsToGenerate.map(generateForItem)) // eslint-disable-next-line react-hooks/exhaustive-deps }, [isLoadingPublished, isLoadingDrafts, publishedFlowcharts, draftSessions, draftDiagnostics]) // Debounced search for flowcharts useEffect(() => { // Clear previous timeout if (searchTimeoutRef.current) { clearTimeout(searchTimeoutRef.current) } // Don't search if query is too short if (searchQuery.trim().length < 3) { setEmbeddingResults([]) setKeywordResults([]) setIsSearching(false) return } setIsSearching(true) // Debounce the search by 500ms searchTimeoutRef.current = setTimeout(async () => { try { // 1. Embedding search via API (semantic matching) const response = await fetch('/api/flowcharts/suggest', { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify({ query: searchQuery, limit: 10 }), }) let embeddingMatches: EmbeddingSearchResult[] = [] if (response.ok) { const data = await response.json() embeddingMatches = data.suggestions || [] } setEmbeddingResults(embeddingMatches) // 2. Keyword search on drafts (local matching) const queryLower = searchQuery.toLowerCase() const embeddingIds = new Set(embeddingMatches.map((r) => r.id)) const keywordMatches: KeywordSearchResult[] = [] // Search drafts by keyword for (const draft of draftSessions) { const title = draft.draftTitle || draft.topicDescription || '' if (title.toLowerCase().includes(queryLower)) { keywordMatches.push({ id: draft.id, title: title || 'Untitled', description: draft.topicDescription || '', emoji: draft.draftEmoji || '📝', type: 'draft', sessionId: draft.id, }) } } // Search published flowcharts that weren't in embedding results for (const fc of publishedFlowcharts) { if (embeddingIds.has(fc.id)) continue // Already matched by embedding const inTitle = fc.title.toLowerCase().includes(queryLower) const inDescription = fc.description?.toLowerCase().includes(queryLower) if (inTitle || inDescription) { keywordMatches.push({ id: fc.id, title: fc.title, description: fc.description, emoji: fc.emoji, type: 'published', }) } } setKeywordResults(keywordMatches) } catch (err) { console.error('Failed to search flowcharts:', err) } finally { setIsSearching(false) } }, 500) return () => { if (searchTimeoutRef.current) { clearTimeout(searchTimeoutRef.current) } } }, [searchQuery, draftSessions, publishedFlowcharts]) // Handle draft session actions const handleResumeDraft = useCallback( (sessionId: string) => { router.push(`/flowchart/workshop/${sessionId}`) }, [router] ) // Handle remixing a built-in flowchart const handleRemix = useCallback( async (flowchartId: string) => { try { const response = await fetch('/api/flowchart-workshop/sessions', { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify({ remixFromId: flowchartId }), }) if (!response.ok) { throw new Error('Failed to create remix session') } const { session } = await response.json() router.push(`/flowchart/workshop/${session.id}`) } catch (err) { console.error('Failed to remix flowchart:', err) } }, [router] ) // Handle editing user's own published flowchart const handleEditPublished = useCallback( async (flowchartId: string) => { try { const response = await fetch('/api/flowchart-workshop/sessions', { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify({ editPublishedId: flowchartId }), }) if (!response.ok) { throw new Error('Failed to create edit session') } const { session } = await response.json() router.push(`/flowchart/workshop/${session.id}`) } catch (err) { console.error('Failed to start editing flowchart:', err) } }, [router] ) // Handle creating a new flowchart from the search bar query const handleCreateFromSearch = useCallback(() => { if (!searchQuery.trim()) return createSession({ topicDescription: searchQuery.trim() }) }, [searchQuery, createSession]) // Handle PDF download for a built-in flowchart const handleDownloadPDF = useCallback(async (flowchartId: string) => { setExportingPdfId(flowchartId) try { // Fetch flowchart from API (all flowcharts are in database now) const response = await fetch(`/api/flowcharts/${flowchartId}`) if (!response.ok) { console.error('Flowchart not found:', flowchartId) return } const data = await response.json() const { mermaid, meta } = data.flowchart as { mermaid: string meta: { title: string; description: string } } await downloadFlowchartPDF(mermaid, { title: meta.title, description: meta.description, flowchartId, }) } catch (err) { console.error('Failed to export PDF:', err) } finally { setExportingPdfId(null) } }, []) // Start deletion with undo option const handleDeleteDraft = useCallback( (sessionId: string) => { const session = draftSessions.find((s) => s.id === sessionId) if (!session) return // Add to pending deletions setPendingDeletions((prev) => [ ...prev, { id: sessionId, title: session.draftTitle || session.topicDescription || 'Untitled', createdAt: Date.now(), }, ]) // Hide from list immediately setDraftSessions((prev) => prev.filter((s) => s.id !== sessionId)) }, [draftSessions] ) // Undo deletion const handleUndoDelete = useCallback((deletion: PendingDeletion) => { // Remove from pending setPendingDeletions((prev) => prev.filter((d) => d.id !== deletion.id)) // Re-fetch sessions to restore the item fetch('/api/flowchart-workshop/sessions') .then((res) => res.json()) .then((data) => setDraftSessions(data.sessions || [])) .catch(console.error) }, []) // Confirm deletion (actually delete) const handleConfirmDelete = useCallback(async (deletion: PendingDeletion) => { // Remove from pending setPendingDeletions((prev) => prev.filter((d) => d.id !== deletion.id)) // Actually delete try { await fetch(`/api/flowchart-workshop/sessions/${deletion.id}`, { method: 'DELETE', }) } catch (err) { console.error('Failed to delete session:', err) } }, []) // Sync modal state with URL query param useEffect(() => { if (!selectedId) { // URL has no selection - close modal setModalState({ type: 'closed' }) return } // URL has a selection - check if we need to load it const needsLoad = modalState.type === 'closed' || modalState.flowchartId !== selectedId if (needsLoad) { // Start loading the newly selected flowchart setModalState({ type: 'loading', flowchartId: selectedId }) } }, [selectedId]) // eslint-disable-line react-hooks/exhaustive-deps // Load flowchart when modal enters loading state useEffect(() => { if (modalState.type !== 'loading') return const flowchartId = modalState.flowchartId async function load() { try { // Fetch from API (supports both hardcoded and database flowcharts) const response = await fetch(`/api/flowcharts/${flowchartId}`) if (!response.ok) { const errorData = await response.json().catch(() => ({})) setModalState({ type: 'error', flowchartId, message: errorData.error || 'Flowchart not found', }) return } const data = await response.json() const { definition, mermaid } = data.flowchart as { definition: FlowchartDefinition mermaid: string } const flowchart = await loadFlowchart(definition, mermaid) setModalState({ type: 'inputting', flowchartId, flowchart }) } catch (error) { console.error('Error loading flowchart:', error) setModalState({ type: 'error', flowchartId, message: 'Failed to load flowchart' }) } } load() }, [modalState]) // Open modal by updating URL (adds to browser history) const handleCardClick = useCallback( (flowchartId: string) => { router.push(`/flowchart?select=${flowchartId}`, { scroll: false }) }, [router] ) const handleProblemSubmit = useCallback( (values: Record<string, ProblemValue>) => { if (modalState.type !== 'inputting') return // Store problem values in sessionStorage for the walker page to pick up const storageKey = `flowchart-problem-${modalState.flowchartId}` sessionStorage.setItem(storageKey, JSON.stringify(values)) // Navigate to the walker page router.push(`/flowchart/${modalState.flowchartId}`) }, [modalState, router] ) // Close modal by updating URL (replaces current history entry to avoid back-to-modal loop) const handleClose = useCallback(() => { router.replace('/flowchart', { scroll: false }) }, [router]) const isModalOpen = modalState.type !== 'closed' return ( <div className={css({ display: 'flex', flexDirection: 'column', alignItems: 'center', minHeight: '100vh', })} > {/* Outer wrapper: full-width edge-to-edge */} <div className={css({ width: '100%', })} > {/* Sticky search/filter bar — top "lid" of the container */} <header className={css({ position: 'sticky', top: 0, zIndex: 10, display: 'flex', justifyContent: 'center', width: '100%', borderBottom: '2px solid', borderBottomColor: { base: 'gray.200', _dark: 'gray.700' }, backgroundColor: { base: 'white', _dark: 'gray.800' }, transition: 'border-color 0.15s, box-shadow 0.15s', _focusWithin: { borderColor: { base: 'blue.500', _dark: 'blue.400' }, boxShadow: '0 0 0 3px rgba(59, 130, 246, 0.2)', }, })} > <div className={css({ display: 'flex', flexDirection: { base: 'column', md: 'row' }, alignItems: { base: 'stretch', md: 'center' }, width: '100%', maxWidth: '1200px', paddingX: '4', overflow: 'hidden', })} > {/* Search input area */} <div className={css({ position: 'relative', flex: 1, display: 'flex', alignItems: 'center', })} > <span className={css({ position: 'absolute', left: '3', top: '50%', transform: 'translateY(-50%)', color: { base: 'gray.400', _dark: 'gray.500' }, pointerEvents: 'none', })} > 🔍 </span> {(() => { // Check if we should show inline create UI (no results, query >= 3 chars, not searching) const hasNoResults = searchQuery.trim().length >= 3 && !isSearching && embeddingResults.length === 0 && keywordResults.length === 0 return ( <> <input type="text" value={searchQuery} onChange={(e) => setSearchQuery(e.target.value)} onKeyDown={(e) => { if (e.key === 'Enter' && hasNoResults && !isCreatingFromSearch) { e.preventDefault() handleCreateFromSearch() } }} placeholder="What do you want to learn?" className={css({ width: '100%', paddingY: '3', paddingLeft: '10', paddingRight: hasNoResults ? '120px' : searchQuery ? '9' : '3', border: 'none', backgroundColor: 'transparent', color: { base: 'gray.900', _dark: 'gray.100' }, fontSize: 'md', _focus: { outline: 'none', }, _placeholder: { color: { base: 'gray.400', _dark: 'gray.500' }, }, })} /> {hasNoResults ? ( <div className={css({ position: 'absolute', right: '2', top: '50%', transform: 'translateY(-50%)', display: 'flex', alignItems: 'center', gap: '2', })} > <button onClick={() => setSearchQuery('')} className={css({ padding: '1', borderRadius: 'full', border: 'none', backgroundColor: { base: 'gray.200', _dark: 'gray.600' }, color: { base: 'gray.600', _dark: 'gray.300' }, cursor: 'pointer', fontSize: 'xs', lineHeight: 1, _hover: { backgroundColor: { base: 'gray.300', _dark: 'gray.500' }, }, })} > ✕ </button> <button onClick={handleCreateFromSearch} disabled={isCreatingFromSearch} className={css({ paddingY: '1.5', paddingX: '3', borderRadius: 'md', backgroundColor: { base: 'blue.600', _dark: 'blue.500' }, color: 'white', fontWeight: 'semibold', fontSize: 'sm', border: 'none', cursor: 'pointer', transition: 'all 0.2s', _hover: { backgroundColor: { base: 'blue.700', _dark: 'blue.600' }, }, _disabled: { opacity: 0.5, cursor: 'not-allowed', }, })} > {isCreatingFromSearch ? 'Creating...' : 'Create'} </button> </div> ) : searchQuery ? ( <button onClick={() => setSearchQuery('')} className={css({ position: 'absolute', right: '2', top: '50%', transform: 'translateY(-50%)', padding: '1', borderRadius: 'full', border: 'none', backgroundColor: { base: 'gray.200', _dark: 'gray.600' }, color: { base: 'gray.600', _dark: 'gray.300' }, cursor: 'pointer', fontSize: 'xs', lineHeight: 1, _hover: { backgroundColor: { base: 'gray.300', _dark: 'gray.500' }, }, })} > ✕ </button> ) : null} </> ) })()} </div> {/* Divider: vertical on md+, horizontal on mobile */} <div className={css({ width: { base: '100%', md: '1px' }, height: { base: '1px', md: '60%' }, alignSelf: { base: 'stretch', md: 'center' }, backgroundColor: { base: 'gray.300', _dark: 'gray.600' }, flexShrink: 0, })} /> {/* Filter buttons */} <div className={css({ display: 'flex', alignItems: 'center', justifyContent: { base: 'stretch', md: 'flex-start' }, gap: '1', padding: '1', flexShrink: 0, })} > {[ { value: 'all' as const, label: 'All' }, { value: 'published' as const, label: `Published${publishedFlowcharts.length > 0 ? ` (${publishedFlowcharts.length})` : ''}`, }, { value: 'drafts' as const, label: `Drafts${draftSessions.length > 0 ? ` (${draftSessions.length})` : ''}`, }, ].map((option) => ( <button key={option.value} onClick={() => setFilter(option.value)} className={css({ flex: { base: 1, md: 'initial' }, paddingY: '1.5', paddingX: '3', borderRadius: 'md', fontSize: 'sm', fontWeight: 'medium', border: 'none', cursor: 'pointer', transition: 'all 0.15s', whiteSpace: 'nowrap', backgroundColor: filter === option.value ? { base: 'gray.100', _dark: 'gray.700' } : 'transparent', color: filter === option.value ? { base: 'gray.900', _dark: 'gray.100' } : { base: 'gray.600', _dark: 'gray.400' }, boxShadow: filter === option.value ? 'sm' : 'none', _hover: { color: { base: 'gray.900', _dark: 'gray.100' }, }, })} > {option.label} </button> ))} </div> </div> </header> {/* Recessed card well — cards sit in this subtle "well" below the sticky header */} <div className={css({ backgroundColor: { base: 'gray.50', _dark: 'gray.900' }, paddingX: '4', paddingY: '6', display: 'flex', justifyContent: 'center', minHeight: 0, flex: 1, })} > <div ref={gridRef} className={css({ display: 'grid', gridTemplateColumns: 'repeat(auto-fill, minmax(280px, 1fr))', gap: '4', width: '100%', maxWidth: '1200px', })} > {/* Search results header */} {searchQuery.trim().length >= 3 && (embeddingResults.length > 0 || keywordResults.length > 0 || isSearching) && ( <div className={css({ gridColumn: '1 / -1', textAlign: 'center', color: { base: 'gray.600', _dark: 'gray.400' }, fontSize: 'sm', })} > {isSearching ? ( 'Searching...' ) : ( <> Found <strong>{embeddingResults.length + keywordResults.length}</strong>{' '} result {embeddingResults.length + keywordResults.length !== 1 ? 's' : ''} for “ {searchQuery}” </> )} </div> )} {/* Show search results when search is active */} {searchQuery.trim().length >= 3 ? ( <> {/* Prominent create card when there ARE results but best match < 0.55 */} {/* (When there are NO results, the create button is in the search bar) */} {(() => { const hasResults = embeddingResults.length > 0 || keywordResults.length > 0 if (!hasResults) return null // Create is in search bar when no results const bestSimilarity = embeddingResults.length > 0 ? Math.max(...embeddingResults.map((r) => r.similarity)) : 0 return bestSimilarity < 0.55 ? ( <div className={css({ gridColumn: '1 / -1', paddingY: '3', paddingX: '4', borderRadius: 'lg', border: '2px dashed', borderColor: { base: 'blue.300', _dark: 'blue.600' }, backgroundColor: { base: 'blue.50', _dark: 'blue.950' }, display: 'flex', alignItems: 'center', gap: '3', })} > <span className={css({ fontSize: 'lg', flexShrink: 0 })}>✨</span> <span className={css({ fontSize: 'sm', color: { base: 'gray.700', _dark: 'gray.300' }, flex: 1, minWidth: 0, overflow: 'hidden', textOverflow: 'ellipsis', whiteSpace: 'nowrap', })} > Create “{searchQuery}” </span> <button onClick={handleCreateFromSearch} disabled={isCreatingFromSearch} className={css({ paddingY: '1.5', paddingX: '4', borderRadius: 'md', backgroundColor: { base: 'blue.600', _dark: 'blue.500' }, color: 'white', fontWeight: 'semibold', fontSize: 'sm', border: 'none', cursor: 'pointer', flexShrink: 0, transition: 'all 0.2s', _hover: { backgroundColor: { base: 'blue.700', _dark: 'blue.600' }, }, _disabled: { opacity: 0.5, cursor: 'not-allowed', }, })} > {isCreatingFromSearch ? 'Creating...' : 'Create'} </button> </div> ) : null })()} {/* Semantic matches (embedding-based) */} {embeddingResults.length > 0 && (() => { const renderSemanticCard = ( result: EmbeddingSearchResult, clusterColorIndex?: number ) => { const publishedMatch = publishedFlowcharts.find((fc) => fc.id === result.id) const isOwnFlowchart = result.source === 'database' && currentUserId && publishedMatch?.authorId === currentUserId return ( <FlowchartCard key={result.id} title={result.title} description={result.description} emoji={result.emoji} difficulty={result.difficulty} subtitle={`${Math.round(result.similarity * 100)}% match`} clusterColorIndex={clusterColorIndex} onClick={() => handleCardClick(result.id)} actions={ result.source === 'hardcoded' ? [ { label: exportingPdfId === result.id ? 'Exporting...' : 'PDF', onClick: () => handleDownloadPDF(result.id), variant: 'secondary' as const, disabled: exportingPdfId === result.id, }, { label: 'Remix', onClick: () => handleRemix(result.id), variant: 'secondary' as const, }, ] : isOwnFlowchart ? [ { label: 'Edit', onClick: () => handleEditPublished(result.id), variant: 'primary' as const, }, { label: 'Remix', onClick: () => handleRemix(result.id), variant: 'secondary' as const, }, ] : [ { label: 'Remix', onClick: () => handleRemix(result.id), variant: 'secondary' as const, }, ] } /> ) } // If we have clustering data, render by clusters if (semanticClusterAssignments && semanticClusterAssignments.k > 1) { const elements: React.ReactNode[] = [] const clusteredIds = new Set(semanticClusterAssignments.ids) for (let ci = 0; ci < semanticClusterAssignments.k; ci++) { const color = CLUSTER_COLORS[ci % CLUSTER_COLORS.length] const emojis = semanticClusterAssignments.clusterEmojis[ci] const topicLabel = semanticClusterAssignments.clusterLabels[ci] const clusterResults = embeddingResults.filter( (r) => semanticClusterAssignments.map.get(r.id) === ci ) if (clusterResults.length === 0) continue elements.push( <div key={`semantic-header-${ci}`} className={css({ gridColumn: '1 / -1', display: 'flex', alignItems: 'center', gap: '3', color: color.text, fontSize: 'sm', marginTop: ci > 0 ? '4' : '0', marginBottom: '2', })} > <span>{emojis.join(' ')}</span> {topicLabel && ( <span className={css({ fontWeight: 'medium' })}>{topicLabel}</span> )} <div className={css({ flex: 1, height: '1px', backgroundColor: color.line, })} /> </div> ) for (const result of clusterResults) { elements.push(renderSemanticCard(result, ci)) } } // Render unclustered results (if any) const unclustered = embeddingResults.filter((r) => !clusteredIds.has(r.id)) if (unclustered.length > 0) { elements.push( <div key="semantic-header-unclustered" className={css({ gridColumn: '1 / -1', display: 'flex', alignItems: 'center', gap: '3', color: { base: 'gray.500', _dark: 'gray.400' }, fontSize: 'sm', marginTop: '4', marginBottom: '2', })} > <span>More</span> <div className={css({ flex: 1, height: '1px', backgroundColor: { base: 'gray.200', _dark: 'gray.700' }, })} /> </div> ) for (const result of unclustered) { elements.push(renderSemanticCard(result)) } } return elements } // Fallback: flat list with header return ( <> <div className={css({ gridColumn: '1 / -1', display: 'flex', alignItems: 'center', gap: '3', color: { base: 'gray.500', _dark: 'gray.400' }, fontSize: 'sm', marginBottom: '2', })} > <span>🧠</span> <span>Semantic matches</span> <div className={css({ flex: 1, height: '1px', backgroundColor: { base: 'gray.200', _dark: 'gray.700' }, })} /> </div> {embeddingResults.map((result) => renderSemanticCard(result))} </> ) })()} {/* Keyword matches */} {keywordResults.length > 0 && ( <> <div className={css({ gridColumn: '1 / -1', display: 'flex', alignItems: 'center', gap: '3', color: { base: 'gray.500', _dark: 'gray.400' }, fontSize: 'sm', marginTop: embeddingResults.length > 0 ? '4' : '0', marginBottom: '2', })} > <span>🔤</span> <span>Keyword matches</span> <div className={css({ flex: 1, height: '1px', backgroundColor: { base: 'gray.200', _dark: 'gray.700' }, })} /> </div> {keywordResults.map((result) => { // For published keyword matches, check if user owns this flowchart const publishedMatch = result.type === 'published' ? publishedFlowcharts.find((fc) => fc.id === result.id) : null const isOwnFlowchart = result.type === 'published' && currentUserId && publishedMatch?.authorId === currentUserId return ( <FlowchartCard key={`keyword-${result.id}`} title={result.title} description={result.description} emoji={result.emoji} status={result.type === 'draft' ? 'Draft' : undefined} onClick={() => result.type === 'draft' && result.sessionId ? handleResumeDraft(result.sessionId) : handleCardClick(result.id) } actions={ result.type === 'draft' && result.sessionId ? [ { label: 'Edit', href: `/flowchart/workshop/${result.sessionId}`, variant: 'primary' as const, }, ] : isOwnFlowchart ? [ { label: 'Edit', onClick: () => handleEditPublished(result.id), variant: 'primary' as const, }, { label: 'Remix', onClick: () => handleRemix(result.id), variant: 'secondary' as const, }, ] : [ { label: 'Remix', onClick: () => handleRemix(result.id), variant: 'secondary' as const, }, ] } /> ) })} </> )} {/* Create link when good matches exist */} {embeddingResults.length > 0 && Math.max(...embeddingResults.map((r) => r.similarity)) >= 0.55 && ( <div className={css({ gridColumn: '1 / -1', textAlign: 'center', paddingY: '5', marginTop: '2', })} > <button onClick={handleCreateFromSearch} disabled={isCreatingFromSearch} className={css({ backgroundColor: { base: 'gray.100', _dark: 'gray.800' }, border: '1px solid', borderColor: { base: 'gray.300', _dark: 'gray.600' }, borderRadius: 'lg', cursor: 'pointer', color: { base: 'gray.700', _dark: 'gray.300' }, fontSize: 'sm', fontWeight: 'medium', paddingY: '3', paddingX: '5', transition: 'all 0.15s', _hover: { backgroundColor: { base: 'blue.50', _dark: 'blue.950' }, borderColor: { base: 'blue.300', _dark: 'blue.600' }, color: { base: 'blue.700', _dark: 'blue.300' }, }, _disabled: { opacity: 0.5, cursor: 'not-allowed', }, })} > {isCreatingFromSearch ? 'Creating...' : `Don\u2019t see what you need? Create \u201C${searchQuery}\u201D \u2192`} </button> </div> )} </> ) : ( <> {/* Published flowcharts (hardcoded + user-created) */} {filter !== 'drafts' && (() => { const renderPublishedCard = ( flowchart: PublishedFlowchart, clusterColorIndex?: number ) => { const isOwnFlowchart = flowchart.source === 'database' && currentUserId && flowchart.authorId === currentUserId const cardData = cardExamples.get(flowchart.id) const actions = flowchart.source === 'hardcoded' ? [ { label: exportingPdfId === flowchart.id ? 'Exporting...' : 'PDF', onClick: () => handleDownloadPDF(flowchart.id), variant: 'secondary' as const, disabled: exportingPdfId === flowchart.id, }, { label: 'Remix', onClick: () => handleRemix(flowchart.id), variant: 'secondary' as const, }, ] : isOwnFlowchart ? [ { label: 'Edit', onClick: () => handleEditPublished(flowchart.id), variant: 'primary' as const, }, { label: 'Remix', onClick: () => handleRemix(flowchart.id), variant: 'secondary' as const, }, ] : [ { label: 'Remix', onClick: () => handleRemix(flowchart.id), variant: 'secondary' as const, }, ] if (flowchart.hasEmbedding === false) { const isGenerating = generatingEmbeddingIds.has(flowchart.id) actions.push({ label: isGenerating ? 'Generating...' : 'Generate Embedding', onClick: () => handleGenerateCardEmbedding(flowchart.id), variant: 'secondary' as const, disabled: isGenerating, }) } return ( <FlowchartCard key={flowchart.id} title={flowchart.title} description={flowchart.description} emoji={flowchart.emoji} difficulty={flowchart.difficulty} flowchart={cardData?.flowchart} examples={cardData?.examples} diagnosticReport={cardData?.diagnosticReport} clusterColorIndex={clusterColorIndex} onClick={() => handleCardClick(flowchart.id)} actions={actions} /> ) } if (clusterAssignments) { const clusteredIds = new Set(clusterAssignments.ids) const elements: React.ReactNode[] = [] // Breadcrumb navigation (shows full path when drilled in) if (scopePath.length > 0) { elements.push( <div key="scope-nav" className={css({ gridColumn: '1 / -1', display: 'flex', alignItems: 'center', gap: '2', marginBottom: '3', flexWrap: 'wrap', })} > {/* Root "All" link */} <button onClick={() => navigateToLevel(0)} className={css({ display: 'flex', alignItems: 'center', gap: '1.5', paddingX: '3', paddingY: '1.5', borderRadius: 'lg', fontSize: 'sm', fontWeight: 'medium', color: { base: 'gray.600', _dark: 'gray.300' }, backgroundColor: { base: 'gray.100', _dark: 'gray.800' }, cursor: 'pointer', transition: 'all 0.15s', _hover: { backgroundColor: { base: 'gray.200', _dark: 'gray.700' }, }, })} > <span className={css({ fontSize: '12px' })}>←</span> All </button> {/* Breadcrumb trail */} {scopePath.map((level, index) => ( <div key={index} className={css({ display: 'flex', alignItems: 'center', gap: '2' })} > <span className={css({ fontSize: 'sm', color: { base: 'gray.400', _dark: 'gray.500' }, })} > / </span> {index < scopePath.length - 1 ? ( // Clickable intermediate breadcrumb <button onClick={() => navigateToLevel(index + 1)} className={css({ fontSize: 'sm', fontWeight: 'medium', color: { base: 'gray.500', _dark: 'gray.400' }, cursor: 'pointer', transition: 'color 0.15s', _hover: { color: { base: 'gray.700', _dark: 'gray.200' }, }, })} > {level.label} </button> ) : ( // Current level (not clickable) <span className={css({ fontSize: 'sm', fontWeight: 'medium', color: { base: 'gray.700', _dark: 'gray.200' }, })} > {level.label} </span> )} </div> ))} </div> ) } // First pass: separate singleton clusters from multi-item clusters const singletonFlowcharts: PublishedFlowchart[] = [] const multiItemClusters: { ci: number; flowcharts: PublishedFlowchart[] }[] = [] for (let ci = 0; ci < clusterAssignments.k; ci++) { const clusterFlowcharts = publishedFlowcharts.filter( (fc) => clusterAssignments.map.get(fc.id) === ci ) if (clusterFlowcharts.length === 0) continue if (clusterFlowcharts.length === 1) { singletonFlowcharts.push(clusterFlowcharts[0]) } else { multiItemClusters.push({ ci, flowcharts: clusterFlowcharts }) } } // Render multi-item clusters with headers for (const { ci, flowcharts: clusterFlowcharts } of multiItemClusters) { const color = CLUSTER_COLORS[ci % CLUSTER_COLORS.length] const emojis = clusterAssignments.clusterEmojis[ci] // Section header with insights const topicLabel = clusterAssignments.clusterLabels[ci] const runnerUps = clusterAssignments.clusterRunnerUps[ci] const diversity = clusterAssignments.clusterDiversityScores[ci] const isDiverse = diversity > 0.35 const clusterIds = clusterFlowcharts.map((fc) => fc.id) // Build tooltip content const tooltipContent = ( <div className={css({ display: 'flex', flexDirection: 'column', gap: '2.5', })} > {/* Diversity indicator */} <div className={css({ display: 'flex', alignItems: 'center', gap: '2' })} > <span className={css({ fontSize: 'xs', opacity: 0.7 })}> {isDiverse ? '🌐' : '🎯'} </span> <span className={css({ fontSize: 'xs', color: 'gray.300' })}> {isDiverse ? 'Diverse topics grouped together' : 'Focused on a specific topic'} </span> </div> {/* Runner-up labels */} {runnerUps.length > 0 && ( <div className={css({ display: 'flex', flexDirection: 'column', gap: '1', })} > <span className={css({ fontSize: 'xs', opacity: 0.5, textTransform: 'uppercase', letterSpacing: '0.05em', })} > Also related to </span> <div className={css({ display: 'flex', flexWrap: 'wrap', gap: '1.5' })} > {runnerUps.map((ru, i) => ( <span key={i} className={css({ fontSize: 'xs', paddingX: '2', paddingY: '0.5', borderRadius: 'full', backgroundColor: 'rgba(255,255,255,0.1)', color: 'gray.300', })} > {ru.label} </span> ))} </div> </div> )} {/* Cluster stats */} <div className={css({ fontSize: 'xs', opacity: 0.5, paddingTop: '1', borderTop: '1px solid rgba(255,255,255,0.1)', })} > {clusterFlowcharts.length} flowchart {clusterFlowcharts.length !== 1 ? 's' : ''} in this group </div> </div> ) elements.push( <div key={`cluster-header-${ci}`} className={css({ gridColumn: '1 / -1', display: 'flex', alignItems: 'center', gap: '3', color: color.text, fontSize: 'sm', marginTop: ci > 0 ? '4' : '0', marginBottom: '2', })} > <span>{emojis.join(' ')}</span> {topicLabel && ( <Tooltip content={tooltipContent} side="bottom" align="start" delayDuration={300} > <button className={css({ display: 'flex', alignItems: 'center', gap: '1.5', fontWeight: 'medium', cursor: 'help', background: 'none', border: 'none', padding: 0, color: 'inherit', transition: 'opacity 0.15s', _hover: { opacity: 0.8 }, })} > {topicLabel} <span className={css({ fontSize: '10px', opacity: 0.5, transition: 'opacity 0.15s', })} > {isDiverse ? '🌐' : '🎯'} </span> </button> </Tooltip> )} <div className={css({ flex: 1, height: '1px', backgroundColor: color.line, })} /> {clusterFlowcharts.length > gridColumnCount && ( <button onClick={() => { navigateToScope( clusterIds, topicLabel || `${emojis[0] || ''} Cluster` ) }} className={css({ display: 'flex', alignItems: 'center', gap: '1', paddingX: '2', paddingY: '1', borderRadius: 'md', fontSize: 'xs', fontWeight: 'medium', color: color.text, backgroundColor: 'transparent', cursor: 'pointer', transition: 'all 0.15s', _hover: { backgroundColor: color.bg, }, })} > Explore <span className={css({ fontSize: '10px' })}>→</span> </button> )} </div> ) // Cards in this cluster, sorted by match strength (best matches first) const sortedClusterFlowcharts = [...clusterFlowcharts].sort((a, b) => { const strengthA = clusterAssignments.flowchartMatchStrengths.get(a.id) ?? 0 const strengthB = clusterAssignments.flowchartMatchStrengths.get(b.id) ?? 0 return strengthB - strengthA // Descending order }) for (const fc of sortedClusterFlowcharts) { elements.push(renderPublishedCard(fc, ci)) } } // Render singletons under "Other topics" section if (singletonFlowcharts.length > 0) { elements.push( <div key="cluster-header-singletons" className={css({ gridColumn: '1 / -1', display: 'flex', alignItems: 'center', gap: '3', color: { base: 'gray.500', _dark: 'gray.400' }, fontSize: 'sm', marginTop: multiItemClusters.length > 0 ? '4' : '0', marginBottom: '2', })} > <span>Other topics</span> <div className={css({ flex: 1, height: '1px', backgroundColor: { base: 'gray.200', _dark: 'gray.700' }, })} /> </div> ) for (const fc of singletonFlowcharts) { elements.push(renderPublishedCard(fc)) } } // Unclustered flowcharts (no embedding) // When scoped, only show unclustered items within the scope const scopeSet = scopedFlowchartIds ? new Set(scopedFlowchartIds) : null const unclustered = publishedFlowcharts.filter( (fc) => !clusteredIds.has(fc.id) && (!scopeSet || scopeSet.has(fc.id)) ) if (unclustered.length > 0) { const missingEmbeddings = unclustered.some((fc) => !fc.hasEmbedding) elements.push( <div key="cluster-header-unclustered" className={css({ gridColumn: '1 / -1', display: 'flex', alignItems: 'center', gap: '3', color: { base: 'gray.500', _dark: 'gray.400' }, fontSize: 'sm', marginTop: '4', marginBottom: '2', })} > <span> {missingEmbeddings ? 'Unclustered \u2014 missing embeddings' : 'More'} </span> <div className={css({ flex: 1, height: '1px', backgroundColor: { base: 'gray.200', _dark: 'gray.700' }, })} /> {missingEmbeddings && ( <button onClick={handleGenerateEmbeddings} disabled={isGeneratingEmbeddings} className={css({ paddingY: '1', paddingX: '3', borderRadius: 'md', fontSize: 'xs', fontWeight: 'medium', border: '1px solid', borderColor: { base: 'gray.300', _dark: 'gray.600' }, backgroundColor: { base: 'white', _dark: 'gray.800' }, color: { base: 'gray.700', _dark: 'gray.300' }, cursor: 'pointer', whiteSpace: 'nowrap', transition: 'all 0.15s', _hover: { backgroundColor: { base: 'gray.100', _dark: 'gray.700' }, }, _disabled: { opacity: 0.5, cursor: 'not-allowed', }, })} > {isGeneratingEmbeddings ? 'Generating...' : 'Generate Embeddings'} </button> )} </div> ) for (const fc of unclustered) { elements.push(renderPublishedCard(fc)) } } return elements } // Fallback: no clustering data, render flat return publishedFlowcharts.map((fc) => renderPublishedCard(fc)) })()} {/* Draft flowcharts */} {filter !== 'published' && draftSessions.length > 0 && ( <div className={css({ gridColumn: '1 / -1', display: 'flex', alignItems: 'center', gap: '3', color: { base: 'gray.500', _dark: 'gray.400' }, fontSize: 'sm', marginTop: filter !== 'drafts' && publishedFlowcharts.length > 0 ? '4' : '0', marginBottom: '2', })} > <span>Drafts</span> <div className={css({ flex: 1, height: '1px', backgroundColor: { base: 'gray.200', _dark: 'gray.700' }, })} /> </div> )} {filter !== 'published' && draftSessions.map((session) => { const cardData = cardExamples.get(session.id) return ( <FlowchartCard key={session.id} title={session.draftTitle || session.topicDescription || 'Untitled'} emoji={session.draftEmoji || '📝'} status={session.state === 'refining' ? 'In Progress' : 'Draft'} subtitle={`Updated ${new Date(session.updatedAt).toLocaleDateString()}`} onClick={() => handleResumeDraft(session.id)} flowchart={cardData?.flowchart} examples={cardData?.examples} diagnosticReport={ cardData?.diagnosticReport ?? draftDiagnostics.get(session.id) } actions={[ { label: 'Edit', href: `/flowchart/workshop/${session.id}`, variant: 'primary', }, { label: 'Delete', onClick: () => handleDeleteDraft(session.id), variant: 'danger', }, ]} /> ) })} {/* Empty state for drafts filter */} {filter === 'drafts' && !isLoadingDrafts && draftSessions.length === 0 && ( <div className={css({ gridColumn: '1 / -1', padding: '8', textAlign: 'center', color: { base: 'gray.500', _dark: 'gray.400' }, })} > <p>No drafts yet. Search for a topic above to create your first flowchart!</p> </div> )} </> )} </div> {/* Close grid */} </div> {/* Close recessed well */} </div> {/* Close outer wrapper */} {/* Delete toast for undo functionality */} <DeleteToastContainer deletions={pendingDeletions} onUndo={handleUndoDelete} onConfirm={handleConfirmDelete} /> {/* Modal for problem selection - state driven by URL query param */} <Dialog.Root open={isModalOpen} onOpenChange={(open) => { if (!open) handleClose() }} > <Dialog.Portal> <Dialog.Overlay className={css({ backgroundColor: 'rgba(0, 0, 0, 0.6)', position: 'fixed', inset: 0, zIndex: 100, })} /> {modalState.type === 'loading' && ( <Dialog.Content className={css({ position: 'fixed', top: '50%', left: '50%', transform: 'translate(-50%, -50%)', backgroundColor: { base: 'white', _dark: 'gray.800' }, borderRadius: '2xl', padding: '8', zIndex: 101, _focus: { outline: 'none' }, })} > <Dialog.Title className={css({ srOnly: true })}>Loading Flowchart</Dialog.Title> <Dialog.Description className={css({ srOnly: true })}> Please wait while the flowchart loads </Dialog.Description> <div className={css({ display: 'flex', alignItems: 'center', justifyContent: 'center', color: { base: 'gray.500', _dark: 'gray.400' }, })} > Loading... </div> </Dialog.Content> )} {modalState.type === 'error' && ( <Dialog.Content className={css({ position: 'fixed', top: '50%', left: '50%', transform: 'translate(-50%, -50%)', backgroundColor: { base: 'white', _dark: 'gray.800' }, borderRadius: '2xl', padding: '8', zIndex: 101, _focus: { outline: 'none' }, })} > <Dialog.Title className={css({ srOnly: true })}>Error Loading Flowchart</Dialog.Title> <Dialog.Description className={css({ srOnly: true })}> An error occurred while loading the flowchart </Dialog.Description> <div className={vstack({ gap: '4', alignItems: 'center' })}> <p className={css({ color: { base: 'red.600', _dark: 'red.400' } })}> {modalState.message} </p> <button onClick={handleClose} className={css({ paddingX: '4', paddingY: '2', borderRadius: 'md', backgroundColor: { base: 'gray.200', _dark: 'gray.700' }, color: { base: 'gray.800', _dark: 'gray.200' }, border: 'none', cursor: 'pointer', })} > Close </button> </div> </Dialog.Content> )} {modalState.type === 'inputting' && (() => { const flowchartInfo = publishedFlowcharts.find( (fc) => fc.id === modalState.flowchartId ) return ( <FlowchartModal flowchart={modalState.flowchart} onSubmit={handleProblemSubmit} onClose={handleClose} shareUrl={ // Show share button for published flowcharts (hardcoded or database) flowchartInfo ? `${typeof window !== 'undefined' ? window.location.origin : ''}/flowchart?select=${modalState.flowchartId}` : undefined } diagnosticReport={cardExamples.get(modalState.flowchartId)?.diagnosticReport} flowchartId={modalState.flowchartId} source={flowchartInfo?.source} isOwnedByUser={flowchartInfo?.authorId === currentUserId} /> ) })()} </Dialog.Portal> </Dialog.Root> </div> ) } |