Security: - Add auth + file type/size validation to upload API - Add admin auth to /api/admin/ endpoints - Add SSRF protection to scrape action - Whitelist fields in PUT /api/notes/[id] to prevent mass assignment - Protect /lab, /agents, /chat, /canvas, /notebooks routes in middleware AI provider fixes: - Add deepseek/openrouter to factory ProviderType (was silently falling back to ollama) - Fix title-suggestion.service.ts to use factory instead of hardcoded OpenAI - Fix getAIProvider→getChatProvider in memory-echo, notebook-summary, agent-executor - Fix getAIProvider→getTagsProvider in notebook-suggestion, title-suggestions, transform-markdown Functional bugs: - Fix ALLOW_REGISTRATION AND→OR logic - Fix note-editor.tsx passing stale props to useAutoTagging instead of local state - Fix stale Note.embedding type (migrated to NoteEmbedding table) - Remove hardcoded SQLite path from prisma.ts Frontend: - Add AbortController to useAutoTagging and useTitleSuggestions hooks - Add error rollback to optimistic UI in note-inline-editor - Remove stale closure over notebookId/language in useAutoTagging Cleanup: - Rename docker-compose from keepnotes→memento - Remove unused unstable_cache import from config.ts - Remove dead useUndoRedo hook - Fix TagSuggestion type (add isNewLabel, reasoning) - Remove dead AIConfig/AIProviderType types - Fix ghost-tags unused isEmpty var and as any cast - Fix note-editor titleSuggestions typed as any[] Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
175 lines
5.3 KiB
TypeScript
175 lines
5.3 KiB
TypeScript
/**
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* Title Suggestion Service
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* Generates intelligent title suggestions based on note content
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*/
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import { generateText } from 'ai'
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import { LanguageDetectionService } from './language-detection.service'
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import { getTagsProvider } from '../factory'
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import { getSystemConfig } from '@/lib/config'
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export interface TitleSuggestion {
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title: string
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confidence: number // 0-100
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reasoning?: string // Why this title was suggested
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}
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export class TitleSuggestionService {
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private languageDetection: LanguageDetectionService
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constructor() {
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this.languageDetection = new LanguageDetectionService()
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}
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/**
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* Generate 3 title suggestions for a note
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* Uses interface language (from user settings) for prompts
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*/
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async generateSuggestions(noteContent: string): Promise<TitleSuggestion[]> {
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// Detect language of the note content
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const { language: contentLanguage } = await this.languageDetection.detectLanguage(noteContent)
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try {
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const config = await getSystemConfig()
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const provider = getTagsProvider(config)
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const model = provider.getModel()
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// System prompt - explains what to do
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const systemPrompt = `You are an expert title generator for a note-taking application.
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Your task is to generate 3 distinct, engaging titles that capture the essence of the user's note.
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Requirements:
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- Generate EXACTLY 3 titles
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- Each title should be 3-8 words
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- Titles should be concise but descriptive
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- Each title should have a different style:
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1. Direct/Summary style - What the note is about
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2. Question style - Posing a question the note addresses
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3. Creative/Metaphorical style - Using imagery or analogy
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- Return titles in the SAME LANGUAGE as the user's note
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- Be helpful and avoid generic titles like "My Note" or "Untitled"
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Output Format (JSON):
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{
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"suggestions": [
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{ "title": "...", "confidence": 85, "reasoning": "..." },
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{ "title": "...", "confidence": 80, "reasoning": "..." },
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{ "title": "...", "confidence": 75, "reasoning": "..." }
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]
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}`
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// User prompt with language context
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const userPrompt = `Generate 3 title suggestions for this note:
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${noteContent}
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Note language detected: ${contentLanguage}
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Respond with titles in ${contentLanguage} (same language as the note).`
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const { text } = await generateText({
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model,
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system: systemPrompt,
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prompt: userPrompt,
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temperature: 0.7
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})
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// Parse JSON response
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const response = JSON.parse(text)
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if (!response.suggestions || !Array.isArray(response.suggestions)) {
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throw new Error('Invalid response format')
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}
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// Validate and limit to exactly 3 suggestions
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const suggestions = response.suggestions
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.slice(0, 3)
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.filter((s: any) => s.title && typeof s.title === 'string')
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.map((s: any) => ({
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title: s.title.trim(),
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confidence: Math.min(100, Math.max(0, s.confidence || 75)),
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reasoning: s.reasoning || ''
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}))
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// Ensure we always return exactly 3 suggestions
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while (suggestions.length < 3) {
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suggestions.push({
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title: this.generateFallbackTitle(noteContent, contentLanguage),
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confidence: 60,
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reasoning: 'Generated fallback title'
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})
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}
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return suggestions
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} catch (error) {
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console.error('Error generating title suggestions:', error)
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// Fallback to simple extraction
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return this.generateFallbackSuggestions(noteContent, contentLanguage)
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}
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}
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/**
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* Generate fallback title from first few meaningful words
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*/
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private generateFallbackTitle(content: string, language: string): string {
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const words = content.split(/\s+/).filter(w => w.length > 3)
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if (words.length === 0) {
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return language === 'fr' ? 'Note sans titre' : 'Untitled Note'
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}
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// Take first 3-5 meaningful words
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const titleWords = words.slice(0, Math.min(5, words.length))
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return titleWords.join(' ').charAt(0).toUpperCase() + titleWords.join(' ').slice(1)
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}
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/**
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* Generate fallback suggestions when AI fails
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*/
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private generateFallbackSuggestions(content: string, language: string): TitleSuggestion[] {
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const baseTitle = this.generateFallbackTitle(content, language)
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return [
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{
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title: baseTitle,
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confidence: 70,
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reasoning: 'Extracted from note content'
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},
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{
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title: language === 'fr'
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? `Réflexions sur ${baseTitle.toLowerCase()}`
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: `Thoughts on ${baseTitle.toLowerCase()}`,
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confidence: 65,
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reasoning: 'Contextual variation'
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},
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{
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title: language === 'fr'
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? `${baseTitle}: Points clés`
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: `${baseTitle}: Key Points`,
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confidence: 60,
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reasoning: 'Summary style'
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}
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]
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}
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/**
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* Save selected title to note metadata
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*/
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async recordFeedback(
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noteId: string,
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selectedTitle: string,
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allSuggestions: TitleSuggestion[]
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): Promise<void> {
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// This will be implemented in Phase 3 when we add feedback collection
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// For now, we just log it
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// TODO: In Phase 3, save to AiFeedback table for:
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// - Improving future suggestions
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// - Building user preference model
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// - Computing confidence scores
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}
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}
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// Singleton instance
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export const titleSuggestionService = new TitleSuggestionService()
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