Keep/keep-notes/lib/ai/services/memory-echo.service.ts
sepehr 7fb486c9a4 feat: Complete internationalization and code cleanup
## Translation Files
- Add 11 new language files (es, de, pt, ru, zh, ja, ko, ar, hi, nl, pl)
- Add 100+ missing translation keys across all 15 languages
- New sections: notebook, pagination, ai.batchOrganization, ai.autoLabels
- Update nav section with workspace, quickAccess, myLibrary keys

## Component Updates
- Update 15+ components to use translation keys instead of hardcoded text
- Components: notebook dialogs, sidebar, header, note-input, ghost-tags, etc.
- Replace 80+ hardcoded English/French strings with t() calls
- Ensure consistent UI across all supported languages

## Code Quality
- Remove 77+ console.log statements from codebase
- Clean up API routes, components, hooks, and services
- Keep only essential error handling (no debugging logs)

## UI/UX Improvements
- Update Keep logo to yellow post-it style (from-yellow-400 to-amber-500)
- Change selection colors to #FEF3C6 (notebooks) and #EFB162 (nav items)
- Make "+" button permanently visible in notebooks section
- Fix grammar and syntax errors in multiple components

## Bug Fixes
- Fix JSON syntax errors in it.json, nl.json, pl.json, zh.json
- Fix syntax errors in notebook-suggestion-toast.tsx
- Fix syntax errors in use-auto-tagging.ts
- Fix syntax errors in paragraph-refactor.service.ts
- Fix duplicate "fusion" section in nl.json

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

Ou une version plus courte si vous préférez :

feat(i18n): Add 15 languages, remove logs, update UI components

- Create 11 new translation files (es, de, pt, ru, zh, ja, ko, ar, hi, nl, pl)
- Add 100+ translation keys: notebook, pagination, AI features
- Update 15+ components to use translations (80+ strings)
- Remove 77+ console.log statements from codebase
- Fix JSON syntax errors in 4 translation files
- Fix component syntax errors (toast, hooks, services)
- Update logo to yellow post-it style
- Change selection colors (#FEF3C6, #EFB162)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-11 22:26:13 +01:00

529 lines
14 KiB
TypeScript

import { getAIProvider } from '../factory'
import { cosineSimilarity } from '@/lib/utils'
import prisma from '@/lib/prisma'
export interface NoteConnection {
note1: {
id: string
title: string | null
content: string
createdAt: Date
}
note2: {
id: string
title: string | null
content: string | null
createdAt: Date
}
similarityScore: number
insight: string
daysApart: number
}
export interface MemoryEchoInsight {
id: string
note1Id: string
note2Id: string
note1: {
id: string
title: string | null
content: string
}
note2: {
id: string
title: string | null
content: string
}
similarityScore: number
insight: string
insightDate: Date
viewed: boolean
feedback: string | null
}
/**
* Memory Echo Service - Proactive note connections
* "I didn't search, it found me"
*/
export class MemoryEchoService {
private readonly SIMILARITY_THRESHOLD = 0.75 // High threshold for quality connections
private readonly SIMILARITY_THRESHOLD_DEMO = 0.50 // Lower threshold for demo mode
private readonly MIN_DAYS_APART = 7 // Notes must be at least 7 days apart
private readonly MIN_DAYS_APART_DEMO = 0 // No delay for demo mode
private readonly MAX_INSIGHTS_PER_USER = 100 // Prevent spam
/**
* Find meaningful connections between user's notes
*/
async findConnections(userId: string, demoMode: boolean = false): Promise<NoteConnection[]> {
// Get all user's notes with embeddings
const notes = await prisma.note.findMany({
where: {
userId,
isArchived: false,
embedding: { not: null } // Only notes with embeddings
},
select: {
id: true,
title: true,
content: true,
embedding: true,
createdAt: true
},
orderBy: { createdAt: 'desc' }
})
if (notes.length < 2) {
return [] // Need at least 2 notes to find connections
}
// Parse embeddings
const notesWithEmbeddings = notes
.map(note => ({
...note,
embedding: note.embedding ? JSON.parse(note.embedding) : null
}))
.filter(note => note.embedding && Array.isArray(note.embedding))
const connections: NoteConnection[] = []
// Use demo mode parameters if enabled
const minDaysApart = demoMode ? this.MIN_DAYS_APART_DEMO : this.MIN_DAYS_APART
const similarityThreshold = demoMode ? this.SIMILARITY_THRESHOLD_DEMO : this.SIMILARITY_THRESHOLD
// Compare all pairs of notes
for (let i = 0; i < notesWithEmbeddings.length; i++) {
for (let j = i + 1; j < notesWithEmbeddings.length; j++) {
const note1 = notesWithEmbeddings[i]
const note2 = notesWithEmbeddings[j]
// Calculate time difference
const daysApart = Math.abs(
Math.floor((note1.createdAt.getTime() - note2.createdAt.getTime()) / (1000 * 60 * 60 * 24))
)
// Time diversity filter: notes must be from different time periods
if (daysApart < minDaysApart) {
continue
}
// Calculate cosine similarity
const similarity = cosineSimilarity(note1.embedding, note2.embedding)
// Similarity threshold for meaningful connections
if (similarity >= similarityThreshold) {
connections.push({
note1: {
id: note1.id,
title: note1.title,
content: note1.content.substring(0, 200) + (note1.content.length > 200 ? '...' : ''),
createdAt: note1.createdAt
},
note2: {
id: note2.id,
title: note2.title,
content: note2.content ? note2.content.substring(0, 200) + (note2.content.length > 200 ? '...' : '') : '',
createdAt: note2.createdAt
},
similarityScore: similarity,
insight: '', // Will be generated by AI
daysApart
})
}
}
}
// Sort by similarity score (descending)
connections.sort((a, b) => b.similarityScore - a.similarityScore)
// Return top connections
return connections.slice(0, 10)
}
/**
* Generate AI explanation for the connection
*/
async generateInsight(
note1Title: string | null,
note1Content: string,
note2Title: string | null,
note2Content: string
): Promise<string> {
try {
const config = await prisma.systemConfig.findFirst()
const provider = getAIProvider(config || undefined)
const note1Desc = note1Title || 'Untitled note'
const note2Desc = note2Title || 'Untitled note'
const prompt = `You are a helpful assistant analyzing connections between notes.
Note 1: "${note1Desc}"
Content: ${note1Content.substring(0, 300)}
Note 2: "${note2Desc}"
Content: ${note2Content.substring(0, 300)}
Explain in one brief sentence (max 15 words) why these notes are connected. Focus on the semantic relationship.`
const response = await provider.generateText(prompt)
// Clean up response
const insight = response
.replace(/^["']|["']$/g, '') // Remove quotes
.replace(/^[^.]+\.\s*/, '') // Remove "Here is..." prefix
.trim()
.substring(0, 150) // Max length
return insight || 'These notes appear to be semantically related.'
} catch (error) {
console.error('[MemoryEcho] Failed to generate insight:', error)
return 'These notes appear to be semantically related.'
}
}
/**
* Get next pending insight for user (based on frequency limit)
*/
async getNextInsight(userId: string): Promise<MemoryEchoInsight | null> {
// Check if Memory Echo is enabled for user
const settings = await prisma.userAISettings.findUnique({
where: { userId }
})
if (!settings || !settings.memoryEcho) {
return null // Memory Echo disabled
}
const demoMode = settings.demoMode || false
// Skip frequency checks in demo mode
if (!demoMode) {
// Check frequency limit
const today = new Date()
today.setHours(0, 0, 0, 0)
const insightsShownToday = await prisma.memoryEchoInsight.count({
where: {
userId,
insightDate: {
gte: today
}
}
})
// Frequency limits
const maxPerDay = settings.memoryEchoFrequency === 'daily' ? 1 :
settings.memoryEchoFrequency === 'weekly' ? 0 : // 1 per 7 days (handled below)
3 // custom = 3 per day
if (settings.memoryEchoFrequency === 'weekly') {
// Check if shown in last 7 days
const weekAgo = new Date(today)
weekAgo.setDate(weekAgo.getDate() - 7)
const recentInsight = await prisma.memoryEchoInsight.findFirst({
where: {
userId,
insightDate: {
gte: weekAgo
}
}
})
if (recentInsight) {
return null // Already shown this week
}
} else if (insightsShownToday >= maxPerDay) {
return null // Daily limit reached
}
// Check total insights limit (prevent spam)
const totalInsights = await prisma.memoryEchoInsight.count({
where: { userId }
})
if (totalInsights >= this.MAX_INSIGHTS_PER_USER) {
return null // User has too many insights
}
}
// Find new connections (pass demoMode)
const connections = await this.findConnections(userId, demoMode)
if (connections.length === 0) {
return null // No connections found
}
// Filter out already shown connections
const existingInsights = await prisma.memoryEchoInsight.findMany({
where: { userId },
select: { note1Id: true, note2Id: true }
})
const shownPairs = new Set(
existingInsights.map(i => `${i.note1Id}-${i.note2Id}`)
)
const newConnection = connections.find(c =>
!shownPairs.has(`${c.note1.id}-${c.note2.id}`) &&
!shownPairs.has(`${c.note2.id}-${c.note1.id}`)
)
if (!newConnection) {
return null // All connections already shown
}
// Generate AI insight
const insightText = await this.generateInsight(
newConnection.note1.title,
newConnection.note1.content,
newConnection.note2.title,
newConnection.note2.content || ''
)
// Store insight in database
const insight = await prisma.memoryEchoInsight.create({
data: {
userId,
note1Id: newConnection.note1.id,
note2Id: newConnection.note2.id,
similarityScore: newConnection.similarityScore,
insight: insightText,
insightDate: new Date(),
viewed: false
},
include: {
note1: {
select: {
id: true,
title: true,
content: true
}
},
note2: {
select: {
id: true,
title: true,
content: true
}
}
}
})
return insight
}
/**
* Mark insight as viewed
*/
async markAsViewed(insightId: string): Promise<void> {
await prisma.memoryEchoInsight.update({
where: { id: insightId },
data: { viewed: true }
})
}
/**
* Submit feedback for insight
*/
async submitFeedback(insightId: string, feedback: 'thumbs_up' | 'thumbs_down'): Promise<void> {
await prisma.memoryEchoInsight.update({
where: { id: insightId },
data: { feedback }
})
// Optional: Store in AiFeedback for analytics
const insight = await prisma.memoryEchoInsight.findUnique({
where: { id: insightId },
select: { userId: true, note1Id: true }
})
if (insight) {
await prisma.aiFeedback.create({
data: {
noteId: insight.note1Id,
userId: insight.userId,
feedbackType: feedback,
feature: 'memory_echo',
originalContent: JSON.stringify({ insightId }),
metadata: JSON.stringify({
timestamp: new Date().toISOString()
})
}
})
}
}
/**
* Get all connections for a specific note
*/
async getConnectionsForNote(noteId: string, userId: string): Promise<NoteConnection[]> {
// Get the note with embedding
const targetNote = await prisma.note.findUnique({
where: { id: noteId },
select: {
id: true,
title: true,
content: true,
embedding: true,
createdAt: true,
userId: true
}
})
if (!targetNote || targetNote.userId !== userId) {
return [] // Note not found or doesn't belong to user
}
if (!targetNote.embedding) {
return [] // Note has no embedding
}
// Get dismissed connections for this note (to filter them out)
const dismissedInsights = await prisma.memoryEchoInsight.findMany({
where: {
userId,
dismissed: true,
OR: [
{ note1Id: noteId },
{ note2Id: noteId }
]
},
select: {
note1Id: true,
note2Id: true
}
})
// Create a set of dismissed note pairs for quick lookup
const dismissedPairs = new Set(
dismissedInsights.map(i =>
`${i.note1Id}-${i.note2Id}`
)
)
// Get all other user's notes with embeddings
const otherNotes = await prisma.note.findMany({
where: {
userId,
id: { not: noteId }, // Exclude the target note
isArchived: false,
embedding: { not: null }
},
select: {
id: true,
title: true,
content: true,
embedding: true,
createdAt: true
},
orderBy: { createdAt: 'desc' }
})
if (otherNotes.length === 0) {
return []
}
// Parse target note embedding
const targetEmbedding = JSON.parse(targetNote.embedding)
// Check if user has demo mode enabled
const settings = await prisma.userAISettings.findUnique({
where: { userId }
})
const demoMode = settings?.demoMode || false
const minDaysApart = demoMode ? this.MIN_DAYS_APART_DEMO : this.MIN_DAYS_APART
const similarityThreshold = demoMode ? this.SIMILARITY_THRESHOLD_DEMO : this.SIMILARITY_THRESHOLD
const connections: NoteConnection[] = []
// Compare target note with all other notes
for (const otherNote of otherNotes) {
if (!otherNote.embedding) continue
const otherEmbedding = JSON.parse(otherNote.embedding)
// Check if this connection was dismissed
const pairKey1 = `${targetNote.id}-${otherNote.id}`
const pairKey2 = `${otherNote.id}-${targetNote.id}`
if (dismissedPairs.has(pairKey1) || dismissedPairs.has(pairKey2)) {
continue
}
// Calculate time difference
const daysApart = Math.abs(
Math.floor((targetNote.createdAt.getTime() - otherNote.createdAt.getTime()) / (1000 * 60 * 60 * 24))
)
// Time diversity filter
if (daysApart < minDaysApart) {
continue
}
// Calculate cosine similarity
const similarity = cosineSimilarity(targetEmbedding, otherEmbedding)
// Similarity threshold
if (similarity >= similarityThreshold) {
connections.push({
note1: {
id: targetNote.id,
title: targetNote.title,
content: targetNote.content.substring(0, 200) + (targetNote.content.length > 200 ? '...' : ''),
createdAt: targetNote.createdAt
},
note2: {
id: otherNote.id,
title: otherNote.title,
content: otherNote.content ? otherNote.content.substring(0, 200) + (otherNote.content.length > 200 ? '...' : '') : '',
createdAt: otherNote.createdAt
},
similarityScore: similarity,
insight: '', // Will be generated on demand
daysApart
})
}
}
// Sort by similarity score (descending)
connections.sort((a, b) => b.similarityScore - a.similarityScore)
return connections
}
/**
* Get insights history for user
*/
async getInsightsHistory(userId: string): Promise<MemoryEchoInsight[]> {
const insights = await prisma.memoryEchoInsight.findMany({
where: { userId },
include: {
note1: {
select: {
id: true,
title: true,
content: true
}
},
note2: {
select: {
id: true,
title: true,
content: true
}
}
},
orderBy: { insightDate: 'desc' },
take: 20
})
return insights
}
}
// Export singleton instance
export const memoryEchoService = new MemoryEchoService()