UI Stabilization: Global color theme updates (#75B2D6), AI Assistant styling refactor, and navigation fixes
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Antigravity
@@ -214,7 +214,7 @@ async function syncNoteLabels(noteId: string, labelNames: string[], notebookId:
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if (Array.isArray(parsed)) {
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parsed.filter((x: any) => typeof x === 'string').forEach((x: string) => namesInUse.add(x.toLowerCase()))
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}
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} catch {}
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} catch { }
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}
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}
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// Delete labels not in use
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@@ -680,91 +680,91 @@ export async function createNote(data: {
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const notebookId = data.notebookId
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const hasUserLabels = data.labels && data.labels.length > 0
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// Use setImmediate-like pattern to not block the response
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;(async () => {
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try {
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// Background task 1: Generate embedding
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const bgConfig = await getSystemConfig()
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const provider = getAIProvider(bgConfig)
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const embedding = await provider.getEmbeddings(content)
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if (embedding) {
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await prisma.noteEmbedding.upsert({
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where: { noteId: noteId },
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create: { noteId: noteId, embedding: JSON.stringify(embedding) },
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update: { embedding: JSON.stringify(embedding) }
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})
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}
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} catch (e) {
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console.error('[BG] Embedding generation failed:', e)
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}
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// Background task 2: Auto-labeling (only if no user labels and has notebook)
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if (!hasUserLabels && notebookId) {
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// Use setImmediate-like pattern to not block the response
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; (async () => {
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try {
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const userAISettings = await getAISettings(userId)
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const autoLabelingEnabled = userAISettings.autoLabeling !== false
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const autoLabelingConfidence = await getConfigNumber('AUTO_LABELING_CONFIDENCE_THRESHOLD', 70)
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// Background task 1: Generate embedding
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const bgConfig = await getSystemConfig()
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const provider = getAIProvider(bgConfig)
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const embedding = await provider.getEmbeddings(content)
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if (embedding) {
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await prisma.noteEmbedding.upsert({
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where: { noteId: noteId },
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create: { noteId: noteId, embedding: JSON.stringify(embedding) },
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update: { embedding: JSON.stringify(embedding) }
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})
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}
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} catch (e) {
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console.error('[BG] Embedding generation failed:', e)
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}
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console.log('[BG] Auto-labeling check: enabled=', autoLabelingEnabled, 'confidence=', autoLabelingConfidence, 'notebookId=', notebookId)
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// Background task 2: Auto-labeling (only if no user labels and has notebook)
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if (!hasUserLabels && notebookId) {
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try {
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const userAISettings = await getAISettings(userId)
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const autoLabelingEnabled = userAISettings.autoLabeling !== false
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const autoLabelingConfidence = await getConfigNumber('AUTO_LABELING_CONFIDENCE_THRESHOLD', 70)
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if (autoLabelingEnabled) {
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// Detect user's language from their existing notes for localized prompts
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let userLang = 'en'
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try {
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const langResult = await prisma.note.groupBy({
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by: ['language'],
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where: { userId, language: { not: null } },
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_count: true,
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orderBy: { _count: { language: 'desc' } },
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take: 1,
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})
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if (langResult.length > 0 && langResult[0].language) {
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userLang = langResult[0].language
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}
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} catch {}
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console.log('[BG] Auto-labeling check: enabled=', autoLabelingEnabled, 'confidence=', autoLabelingConfidence, 'notebookId=', notebookId)
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const suggestions = await contextualAutoTagService.suggestLabels(
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content,
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notebookId,
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userId,
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userLang
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)
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if (autoLabelingEnabled) {
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// Detect user's language from their existing notes for localized prompts
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let userLang = 'en'
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try {
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const langResult = await prisma.note.groupBy({
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by: ['language'],
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where: { userId, language: { not: null } },
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_count: true,
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orderBy: { _count: { language: 'desc' } },
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take: 1,
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})
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if (langResult.length > 0 && langResult[0].language) {
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userLang = langResult[0].language
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}
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} catch { }
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console.log('[BG] Auto-labeling suggestions:', suggestions.length, suggestions.map(s => s.label))
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const suggestions = await contextualAutoTagService.suggestLabels(
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content,
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notebookId,
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userId,
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userLang
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)
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const appliedLabels = suggestions
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.filter(s => s.confidence >= autoLabelingConfidence)
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.map(s => s.label)
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console.log('[BG] Auto-labeling suggestions:', suggestions.length, suggestions.map(s => s.label))
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if (appliedLabels.length > 0) {
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// Merge with existing labels
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const existing = await prisma.note.findUnique({
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where: { id: noteId },
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select: { labels: true },
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})
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let existingNames: string[] = []
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if (existing?.labels) {
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try {
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const parsed = existing.labels as unknown
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existingNames = Array.isArray(parsed)
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? parsed.filter((n): n is string => typeof n === 'string' && n.trim().length > 0)
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: []
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} catch { existingNames = [] }
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}
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const merged = [...new Set([...existingNames, ...appliedLabels])]
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await syncNoteLabels(noteId, merged, notebookId ?? null, userId)
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if (!data.skipRevalidation) {
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revalidatePath('/')
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const appliedLabels = suggestions
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.filter(s => s.confidence >= autoLabelingConfidence)
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.map(s => s.label)
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if (appliedLabels.length > 0) {
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// Merge with existing labels
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const existing = await prisma.note.findUnique({
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where: { id: noteId },
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select: { labels: true },
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})
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let existingNames: string[] = []
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if (existing?.labels) {
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try {
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const parsed = existing.labels as unknown
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existingNames = Array.isArray(parsed)
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? parsed.filter((n): n is string => typeof n === 'string' && n.trim().length > 0)
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: []
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} catch { existingNames = [] }
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}
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const merged = [...new Set([...existingNames, ...appliedLabels])]
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await syncNoteLabels(noteId, merged, notebookId ?? null, userId)
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if (!data.skipRevalidation) {
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revalidatePath('/')
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}
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}
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}
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} catch (error) {
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console.error('[BG] Auto-labeling failed:', error)
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}
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} catch (error) {
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console.error('[BG] Auto-labeling failed:', error)
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} else {
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console.log('[BG] Auto-labeling skipped: hasUserLabels=', hasUserLabels, 'notebookId=', notebookId)
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}
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} else {
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console.log('[BG] Auto-labeling skipped: hasUserLabels=', hasUserLabels, 'notebookId=', notebookId)
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}
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})()
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})()
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return parseNote(note)
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} catch (error) {
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@@ -819,21 +819,21 @@ export async function updateNote(id: string, data: {
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if (data.content !== undefined) {
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const noteId = id
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const content = data.content
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;(async () => {
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try {
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const provider = getAIProvider(await getSystemConfig());
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const embedding = await provider.getEmbeddings(content);
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if (embedding) {
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await prisma.noteEmbedding.upsert({
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where: { noteId: noteId },
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create: { noteId: noteId, embedding: JSON.stringify(embedding) },
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update: { embedding: JSON.stringify(embedding) }
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})
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; (async () => {
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try {
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const provider = getAIProvider(await getSystemConfig());
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const embedding = await provider.getEmbeddings(content);
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if (embedding) {
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await prisma.noteEmbedding.upsert({
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where: { noteId: noteId },
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create: { noteId: noteId, embedding: JSON.stringify(embedding) },
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update: { embedding: JSON.stringify(embedding) }
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})
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}
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} catch (e) {
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console.error('[BG] Embedding regeneration failed:', e);
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}
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} catch (e) {
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console.error('[BG] Embedding regeneration failed:', e);
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}
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})()
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})()
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}
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if ('checkItems' in data) updateData.checkItems = data.checkItems ? JSON.stringify(data.checkItems) : null
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