Keep/keep-notes/app/actions/ai-actions.ts

383 lines
10 KiB
TypeScript

'use server'
/**
* AI Server Actions Stub File
*
* This file provides a centralized location for all AI-related server action interfaces
* and serves as documentation for the AI server action architecture.
*
* IMPLEMENTATION STATUS:
* - Title Suggestions: ✅ Implemented (see app/actions/title-suggestions.ts)
* - Semantic Search: ✅ Implemented (see app/actions/semantic-search.ts)
* - Paragraph Reformulation: ✅ Implemented (see app/actions/paragraph-refactor.ts)
* - Memory Echo: ⏳ STUB - To be implemented in Epic 5 (Story 5-1)
* - Language Detection: ✅ Implemented (see app/actions/detect-language.ts)
* - AI Settings: ✅ Implemented (see app/actions/ai-settings.ts)
*
* NOTE: This file defines TypeScript interfaces and placeholder functions.
* Actual implementations are in separate action files (see references above).
*/
import { auth } from '@/auth'
import { prisma } from '@/lib/prisma'
import { revalidatePath } from 'next/cache'
// ============================================================================
// TYPESCRIPT INTERFACES
// ============================================================================
/**
* Title Suggestions Interfaces
* @see app/actions/title-suggestions.ts for implementation
*/
export interface GenerateTitlesRequest {
noteId: string
}
export interface GenerateTitlesResponse {
suggestions: Array<{
title: string
confidence: number
reasoning?: string
}>
noteId: string
}
/**
* Semantic Search Interfaces
* @see app/actions/semantic-search.ts for implementation
*/
export interface SearchResult {
noteId: string
title: string | null
content: string
similarity: number
matchType: 'exact' | 'related'
}
export interface SemanticSearchRequest {
query: string
options?: {
limit?: number
threshold?: number
notebookId?: string
}
}
export interface SemanticSearchResponse {
results: SearchResult[]
query: string
totalResults: number
}
/**
* Paragraph Reformulation Interfaces
* @see app/actions/paragraph-refactor.ts for implementation
*/
export type RefactorMode = 'clarify' | 'shorten' | 'improve'
export interface RefactorParagraphRequest {
noteId: string
selectedText: string
option: RefactorMode
}
export interface RefactorParagraphResponse {
originalText: string
refactoredText: string
}
/**
* Memory Echo Interfaces
* STUB - To be implemented in Epic 5 (Story 5-1)
*
* This feature will analyze all user notes with embeddings to find
* connections with cosine similarity > 0.75 and provide proactive insights.
*/
export interface GenerateMemoryEchoRequest {
// No params - uses current user session
}
export interface MemoryEchoInsight {
note1Id: string
note2Id: string
similarityScore: number
}
export interface GenerateMemoryEchoResponse {
success: boolean
insight: MemoryEchoInsight | null
}
/**
* Language Detection Interfaces
* @see app/actions/detect-language.ts for implementation
*/
export interface DetectLanguageRequest {
content: string
}
export interface DetectLanguageResponse {
language: string
confidence: number
method: 'tinyld' | 'ai'
}
/**
* AI Settings Interfaces
* @see app/actions/ai-settings.ts for implementation
*/
export interface AISettingsConfig {
titleSuggestions?: boolean
semanticSearch?: boolean
paragraphRefactor?: boolean
memoryEcho?: boolean
memoryEchoFrequency?: 'daily' | 'weekly' | 'custom'
aiProvider?: 'auto' | 'openai' | 'ollama'
preferredLanguage?: 'auto' | 'en' | 'fr' | 'es' | 'de' | 'fa' | 'it' | 'pt' | 'ru' | 'zh' | 'ja' | 'ko' | 'ar' | 'hi' | 'nl' | 'pl'
demoMode?: boolean
}
export interface UpdateAISettingsRequest {
settings: Partial<AISettingsConfig>
}
export interface UpdateAISettingsResponse {
success: boolean
}
// ============================================================================
// PLACEHOLDER FUNCTIONS
// ============================================================================
/**
* Generate Title Suggestions
*
* ALREADY IMPLEMENTED: See app/actions/title-suggestions.ts
*
* This function generates 3 AI-powered title suggestions for a note when it
* reaches 50+ words without a title.
*
* @see generateTitleSuggestions in app/actions/title-suggestions.ts
*/
export async function generateTitles(
request: GenerateTitlesRequest
): Promise<GenerateTitlesResponse> {
// TODO: Import and use implementation from title-suggestions.ts
// import { generateTitleSuggestions } from './title-suggestions'
// return generateTitleSuggestions(request.noteId)
throw new Error('Not implemented in stub: Use app/actions/title-suggestions.ts')
}
/**
* Semantic Search
*
* ALREADY IMPLEMENTED: See app/actions/semantic-search.ts
*
* This function performs hybrid semantic + keyword search across user notes.
*
* @see semanticSearch in app/actions/semantic-search.ts
*/
export async function semanticSearch(
request: SemanticSearchRequest
): Promise<SemanticSearchResponse> {
// TODO: Import and use implementation from semantic-search.ts
// import { semanticSearch } from './semantic-search'
// return semanticSearch(request.query, request.options)
throw new Error('Not implemented in stub: Use app/actions/semantic-search.ts')
}
/**
* Refactor Paragraph
*
* ALREADY IMPLEMENTED: See app/actions/paragraph-refactor.ts
*
* This function refactors a paragraph using AI with specific mode (clarify/shorten/improve).
*
* @see refactorParagraph in app/actions/paragraph-refactor.ts
*/
export async function refactorParagraph(
request: RefactorParagraphRequest
): Promise<RefactorParagraphResponse> {
// TODO: Import and use implementation from paragraph-refactor.ts
// import { refactorParagraph } from './paragraph-refactor'
// return refactorParagraph(request.selectedText, request.option)
throw new Error('Not implemented in stub: Use app/actions/paragraph-refactor.ts')
}
/**
* Generate Memory Echo Insights
*
* STUB: To be implemented in Epic 5 (Story 5-1)
*
* This will analyze all user notes with embeddings to find
* connections with cosine similarity > 0.75.
*
* Implementation Plan:
* - Fetch all user notes with embeddings
* - Calculate pairwise cosine similarities
* - Find top connection with similarity > 0.75
* - Store in MemoryEchoInsight table
* - Return insight or null if none found
*
* @see Epic 5 Story 5-1 in planning/epics.md
*/
export async function generateMemoryEcho(): Promise<GenerateMemoryEchoResponse> {
const session = await auth()
if (!session?.user?.id) {
throw new Error('Unauthorized')
}
// TODO: Implement Memory Echo background processing
// - Fetch all user notes with embeddings from prisma.note
// - Calculate pairwise cosine similarities using embedding vectors
// - Filter for similarity > 0.75
// - Select top insight
// - Store in prisma.memoryEchoInsight table (if it exists)
// - Return { success: true, insight: {...} }
throw new Error('Not implemented: See Epic 5 Story 5-1')
}
/**
* Detect Language
*
* ALREADY IMPLEMENTED: See app/actions/detect-language.ts
*
* This function detects the language of user content.
*
* @see getInitialLanguage in app/actions/detect-language.ts
*/
export async function detectLanguage(
request: DetectLanguageRequest
): Promise<DetectLanguageResponse> {
// TODO: Import and use implementation from detect-language.ts
// import { detectUserLanguage } from '@/lib/i18n/detect-user-language'
// const language = await detectUserLanguage()
// return { language, confidence: 0.95, method: 'tinyld' }
throw new Error('Not implemented in stub: Use app/actions/detect-language.ts')
}
/**
* Update AI Settings
*
* ALREADY IMPLEMENTED: See app/actions/ai-settings.ts
*
* This function updates user AI preferences.
*
* @see updateAISettings in app/actions/ai-settings.ts
*/
export async function updateAISettings(
request: UpdateAISettingsRequest
): Promise<UpdateAISettingsResponse> {
const session = await auth()
if (!session?.user?.id) {
throw new Error('Unauthorized')
}
// TODO: Import and use implementation from ai-settings.ts
// import { updateAISettings } from './ai-settings'
// return updateAISettings(request.settings)
throw new Error('Not implemented in stub: Use app/actions/ai-settings.ts')
}
/**
* Get AI Settings
*
* ALREADY IMPLEMENTED: See app/actions/ai-settings.ts
*
* This function retrieves user AI preferences.
*
* @see getAISettings in app/actions/ai-settings.ts
*/
export async function getAISettings(): Promise<AISettingsConfig> {
const session = await auth()
if (!session?.user?.id) {
throw new Error('Unauthorized')
}
// TODO: Import and use implementation from ai-settings.ts
// import { getAISettings } from './ai-settings'
// return getAISettings()
throw new Error('Not implemented in stub: Use app/actions/ai-settings.ts')
}
// ============================================================================
// UTILITY FUNCTIONS
// ============================================================================
/**
* Check if a specific AI feature is enabled for the user
*
* UTILITY: Helper function to check feature flags
*
* @param feature - The AI feature to check
* @returns Promise<boolean> - Whether the feature is enabled
*/
export async function isAIFeatureEnabled(
feature: keyof AISettingsConfig
): Promise<boolean> {
const session = await auth()
if (!session?.user?.id) {
return false
}
try {
const settings = await prisma.userAISettings.findUnique({
where: { userId: session.user.id }
})
if (!settings) {
// Default to enabled for new users
return true
}
switch (feature) {
case 'titleSuggestions':
return settings.titleSuggestions ?? true
case 'semanticSearch':
return settings.semanticSearch ?? true
case 'paragraphRefactor':
return settings.paragraphRefactor ?? true
case 'memoryEcho':
return settings.memoryEcho ?? true
default:
return true
}
} catch (error) {
console.error('Error checking AI feature enabled:', error)
return true
}
}
/**
* Get user's preferred AI provider
*
* UTILITY: Helper function to get provider preference
*
* @returns Promise<'auto' | 'openai' | 'ollama'> - The AI provider
*/
export async function getUserAIPreference(): Promise<'auto' | 'openai' | 'ollama'> {
const session = await auth()
if (!session?.user?.id) {
return 'auto'
}
try {
const settings = await prisma.userAISettings.findUnique({
where: { userId: session.user.id }
})
return (settings?.aiProvider || 'auto') as 'auto' | 'openai' | 'ollama'
} catch (error) {
console.error('Error getting user AI preference:', error)
return 'auto'
}
}