Files
ReadMeABook/src/lib/bookdate/helpers.ts
T
2026-02-28 22:55:59 -07:00

1042 lines
32 KiB
TypeScript

/**
* BookDate: Helper Functions for Recommendations
* Documentation: documentation/features/bookdate-prd.md
*/
import { prisma } from '@/lib/db';
import { getEncryptionService } from '@/lib/services/encryption.service';
import { getConfigService } from '@/lib/services/config.service';
import { AudibleService } from '@/lib/integrations/audible.service';
import { getPlexService } from '@/lib/integrations/plex.service';
import { findPlexMatch } from '@/lib/utils/audiobook-matcher';
import { RMABLogger } from '@/lib/utils/logger';
const logger = RMABLogger.create('BookDate');
export interface LibraryBook {
title: string;
author: string;
narrator?: string | null;
rating?: number | null;
}
interface CachedLibraryBook {
title: string;
author: string;
narrator: string | null;
plexGuid: string;
plexRatingKey: string | null;
userRating?: any; // Admin's cached rating
}
export interface SwipeHistory {
title: string;
author: string;
action: string;
markedAsKnown: boolean;
}
export interface AIRecommendation {
title: string;
author: string;
reason: string;
}
/**
* Enrich cached library books with user's personal ratings from Plex
* @param userId - User ID (to fetch their Plex token)
* @param cachedBooks - Books from PlexLibrary table cache
* @returns Books enriched with user's personal ratings
*/
async function enrichWithUserRatings(
userId: string,
cachedBooks: CachedLibraryBook[]
): Promise<LibraryBook[]> {
try {
// Get user's Plex token, plexId, and role
const user = await prisma.user.findUnique({
where: { id: userId },
select: { authToken: true, plexId: true, role: true },
});
if (!user) {
logger.warn('User not found');
return cachedBooks.map(book => ({
title: book.title,
author: book.author,
narrator: book.narrator || undefined,
rating: undefined,
}));
}
// Local admin users: Use cached ratings (from system Plex token)
// Local admins authenticate with username/password, not Plex OAuth
if (user.plexId.startsWith('local-')) {
logger.info('User is local admin, using cached ratings (from system Plex token)');
return cachedBooks.map(book => ({
title: book.title,
author: book.author,
narrator: book.narrator || undefined,
rating: book.userRating ? parseFloat(book.userRating.toString()) : undefined,
}));
}
// Plex-authenticated users (including admins): Fetch library with their token to get personal ratings
// Note: /library/sections/{id}/all returns items with the authenticated user's ratings
logger.info('User is Plex-authenticated, fetching library with user token to get personal ratings');
if (!user.authToken) {
logger.warn('User has no Plex auth token');
return cachedBooks.map(book => ({
title: book.title,
author: book.author,
narrator: book.narrator || undefined,
rating: undefined,
}));
}
// Get Plex configuration
const configService = getConfigService();
const plexConfig = await configService.getPlexConfig();
if (!plexConfig.serverUrl || !plexConfig.libraryId) {
logger.warn('No Plex server URL or library ID configured');
return cachedBooks.map(book => ({
title: book.title,
author: book.author,
narrator: book.narrator || undefined,
rating: undefined,
}));
}
// Decrypt user's plex.tv OAuth token
let userPlexToken: string;
const encryptionService = getEncryptionService();
try {
userPlexToken = encryptionService.decrypt(user.authToken);
} catch (decryptError) {
// Token might be stored as plain text (from before encryption or different implementation)
// Try using it as-is
logger.warn('Failed to decrypt user Plex token, trying as plain text');
userPlexToken = user.authToken;
}
try {
// Get server-specific access token
// Per Plex API: plex.tv OAuth tokens are for plex.tv, but we need
// server-specific access tokens from /api/v2/resources to talk to PMS
const plexService = getPlexService();
// Get server machine ID from stored config (no need to access system token)
if (!plexConfig.machineIdentifier) {
logger.error('Server machine identifier not configured');
return cachedBooks.map(book => ({
title: book.title,
author: book.author,
narrator: book.narrator || undefined,
rating: undefined,
}));
}
const serverMachineId = plexConfig.machineIdentifier;
const serverAccessToken = await plexService.getServerAccessToken(
serverMachineId,
userPlexToken
);
if (!serverAccessToken) {
logger.warn('Could not get server access token for user (may not have server access)');
return cachedBooks.map(book => ({
title: book.title,
author: book.author,
narrator: book.narrator || undefined,
rating: undefined,
}));
}
logger.info('Successfully obtained server access token for user');
// Fetch library content with user's SERVER access token to get their personal ratings
const userLibrary = await plexService.getLibraryContent(
plexConfig.serverUrl,
serverAccessToken,
plexConfig.libraryId
);
logger.info(`Fetched ${userLibrary.length} items from Plex with user's token`);
// Create a map of guid/ratingKey -> userRating for quick lookup
const ratingsMap = new Map<string, number>();
userLibrary.forEach(item => {
if (item.userRating) {
// Try to match by guid first (most reliable)
if (item.guid) {
ratingsMap.set(item.guid, item.userRating);
}
// Also store by ratingKey as fallback
if (item.ratingKey) {
ratingsMap.set(item.ratingKey, item.userRating);
}
}
});
logger.info(`Found ${ratingsMap.size} rated items for non-admin user`);
// Enrich cached books with user's ratings from the fetched library
return cachedBooks.map(book => {
// Try to find rating by guid first (most reliable), then ratingKey
let rating: number | undefined;
if (book.plexGuid) {
rating = ratingsMap.get(book.plexGuid);
}
if (!rating && book.plexRatingKey) {
rating = ratingsMap.get(book.plexRatingKey);
}
return {
title: book.title,
author: book.author,
narrator: book.narrator || undefined,
rating: rating,
};
});
} catch (fetchError: any) {
if (fetchError?.response?.status === 401 || fetchError?.message?.includes('401')) {
logger.warn('User token unauthorized for library access (shared users may not have direct API access)');
logger.warn('Falling back to recommendations without user ratings');
} else {
logger.error('Failed to fetch library with user token', { error: fetchError instanceof Error ? fetchError.message : String(fetchError) });
}
// Fallback: return books without ratings
return cachedBooks.map(book => ({
title: book.title,
author: book.author,
narrator: book.narrator || undefined,
rating: undefined,
}));
}
} catch (error) {
logger.error('Error enriching books with user ratings', { error: error instanceof Error ? error.message : String(error) });
// Fallback: return books without ratings on error
return cachedBooks.map(book => ({
title: book.title,
author: book.author,
narrator: book.narrator || undefined,
rating: undefined,
}));
}
}
/**
* Get user's Plex library books based on scope
* @param userId - User ID
* @param scope - 'full' | 'listened' | 'rated' | 'favorites'
* @returns Array of library books (max 40)
*/
export async function getUserLibraryBooks(
userId: string,
scope: 'full' | 'listened' | 'rated' | 'favorites'
): Promise<LibraryBook[]> {
try {
const configService = getConfigService();
const backendMode = await configService.getBackendMode();
// Early validation: audiobookshelf doesn't support ratings
if (backendMode === 'audiobookshelf' && scope === 'rated') {
logger.warn('Audiobookshelf does not support ratings, falling back to full library');
scope = 'full';
}
// Handle favorites scope
if (scope === 'favorites') {
const user = await prisma.user.findUnique({
where: { id: userId },
select: { bookDateFavoriteBookIds: true },
});
const favoriteIds = user?.bookDateFavoriteBookIds
? JSON.parse(user.bookDateFavoriteBookIds)
: [];
if (favoriteIds.length === 0) {
logger.warn('Favorites scope selected but no favorites stored, falling back to full library');
scope = 'full';
} else {
// Get library ID for filtering
let libraryId: string;
if (backendMode === 'audiobookshelf') {
const absLibraryId = await configService.get('audiobookshelf.library_id');
if (!absLibraryId) {
logger.warn('No Audiobookshelf library ID configured');
return [];
}
libraryId = absLibraryId;
} else {
const plexConfig = await configService.getPlexConfig();
if (!plexConfig.libraryId) {
logger.warn('No Plex library ID configured');
return [];
}
libraryId = plexConfig.libraryId;
}
// Query favorite books
const cachedBooks = await prisma.plexLibrary.findMany({
where: {
id: { in: favoriteIds },
plexLibraryId: libraryId, // Ensure books are from current library
},
select: {
title: true,
author: true,
narrator: true,
plexGuid: true,
plexRatingKey: true,
userRating: true,
},
orderBy: { addedAt: 'desc' },
});
logger.info(`Fetched ${cachedBooks.length} favorite books for user ${userId}`);
// For Plex: Enrich with user's personal ratings
// For Audiobookshelf: Skip enrichment (no rating support)
if (backendMode === 'plex') {
return await enrichWithUserRatings(userId, cachedBooks);
} else {
// Audiobookshelf: Map to LibraryBook without ratings
return cachedBooks.map(book => ({
title: book.title,
author: book.author,
narrator: book.narrator || undefined,
rating: undefined,
}));
}
}
}
// Get library ID based on backend mode
let libraryId: string;
if (backendMode === 'audiobookshelf') {
const absLibraryId = await configService.get('audiobookshelf.library_id');
if (!absLibraryId) {
logger.warn('No Audiobookshelf library ID configured');
return [];
}
libraryId = absLibraryId;
} else {
// Plex mode
const plexConfig = await configService.getPlexConfig();
if (!plexConfig.libraryId) {
logger.warn('No Plex library ID configured');
return [];
}
libraryId = plexConfig.libraryId;
}
// Check user type for local admin detection (Plex-specific logic)
const user = await prisma.user.findUnique({
where: { id: userId },
select: { plexId: true },
});
const isLocalAdmin = user?.plexId.startsWith('local-') ?? false;
// Build query filters
let whereClause: any = { plexLibraryId: libraryId };
let takeLimit = 40;
// Apply rating filter only for Plex backend with rated scope
if (backendMode === 'plex' && scope === 'rated') {
if (isLocalAdmin) {
// Local admin: Use cached ratings from system token
whereClause.userRating = { not: null };
} else {
// OAuth user: Fetch more, filter after user rating enrichment
takeLimit = 100;
}
}
// Query library from database (same table for both backends)
let cachedBooks = await prisma.plexLibrary.findMany({
where: whereClause,
orderBy: {
addedAt: 'desc',
},
take: takeLimit,
select: {
title: true,
author: true,
narrator: true,
plexGuid: true,
plexRatingKey: true,
userRating: true,
},
});
// For Plex: Enrich with user's personal ratings
// For Audiobookshelf: Skip enrichment (no rating support)
if (backendMode === 'plex') {
const enrichedBooks = await enrichWithUserRatings(userId, cachedBooks);
// Filter to rated books if scope is 'rated'
if (scope === 'rated') {
const ratedBooks = enrichedBooks.filter(book => book.rating != null);
return isLocalAdmin ? ratedBooks : ratedBooks.slice(0, 40);
}
return enrichedBooks;
} else {
// Audiobookshelf: Map to LibraryBook without ratings
return cachedBooks.map(book => ({
title: book.title,
author: book.author,
narrator: book.narrator || undefined,
rating: undefined, // ABS doesn't support ratings
}));
}
} catch (error) {
logger.error('Error fetching library books', { error: error instanceof Error ? error.message : String(error) });
return [];
}
}
/**
* Get user's recent swipes
* Prioritizes non-dismiss actions (likes/requests/dislikes) over dismissals
* @param userId - User ID
* @param limit - Max number of swipes to return
* @returns Array of recent swipes (prioritized: non-dismiss first, then dismissals)
*/
export async function getUserRecentSwipes(
userId: string,
limit: number = 10
): Promise<SwipeHistory[]> {
try {
// First, get the most recent non-dismiss swipes (left=reject, right=like/request)
// These are most informative for AI recommendations
const nonDismissSwipes = await prisma.bookDateSwipe.findMany({
where: {
userId,
action: { in: ['left', 'right'] },
},
orderBy: { createdAt: 'desc' },
take: limit,
select: {
bookTitle: true,
bookAuthor: true,
action: true,
markedAsKnown: true,
createdAt: true,
},
});
// Calculate remaining slots for dismissals
const remainingSlots = limit - nonDismissSwipes.length;
// If we have remaining slots, fill with dismiss swipes (up=dismiss)
let dismissSwipes: typeof nonDismissSwipes = [];
if (remainingSlots > 0) {
dismissSwipes = await prisma.bookDateSwipe.findMany({
where: {
userId,
action: 'up',
},
orderBy: { createdAt: 'desc' },
take: remainingSlots,
select: {
bookTitle: true,
bookAuthor: true,
action: true,
markedAsKnown: true,
createdAt: true,
},
});
}
// Combine both lists, maintaining chronological order (most recent first)
const allSwipes = [...nonDismissSwipes, ...dismissSwipes].sort(
(a, b) => b.createdAt.getTime() - a.createdAt.getTime()
);
logger.info(
`Fetched ${allSwipes.length} swipes: ${nonDismissSwipes.length} non-dismiss, ${dismissSwipes.length} dismiss`
);
return allSwipes.map((s) => ({
title: s.bookTitle,
author: s.bookAuthor,
action: s.action,
markedAsKnown: s.markedAsKnown,
}));
} catch (error) {
logger.error('Error fetching swipe history', { error: error instanceof Error ? error.message : String(error) });
return [];
}
}
/**
* Build AI prompt for recommendations
* @param userId - User ID
* @param config - User's BookDate configuration
* @returns JSON string prompt for AI
*/
export async function buildAIPrompt(
userId: string,
config: { libraryScope: string; customPrompt?: string | null }
): Promise<string> {
const libraryBooks = await getUserLibraryBooks(
userId,
config.libraryScope as 'full' | 'listened' | 'rated' | 'favorites'
);
const swipeHistory = await getUserRecentSwipes(userId, 10);
logger.info('Building AI prompt with context:', {
libraryBooks: libraryBooks.length,
swipeHistory: swipeHistory.length,
customPrompt: config.customPrompt ? 'Yes' : 'No',
libraryScope: config.libraryScope,
});
let instructions =
'Recommend 15-20 audiobooks the user would enjoy based on their library and swipe history. ' +
'CRITICAL RULES:\n' +
'1. DO NOT recommend any books already in the user\'s library (check titles carefully)\n' +
'2. DO NOT recommend any books from the swipe history (whether requested, rejected, dismissed, or marked_as_liked)\n' +
'3. You must provide 15-20 diverse recommendations, not just 3-5\n' +
'4. Focus on variety across genres, authors, and styles\n' +
'5. Consider user ratings if available (0-10 scale, higher = liked more)\n' +
'6. Learn from rejected books to avoid similar recommendations\n' +
'7. Learn from requested books to find similar ones\n' +
'8. Pay special attention to "marked_as_liked" books - these are books the user has already read/listened to elsewhere and enjoyed. Find similar books to these.\n' +
'9. Each recommendation should be a NEW book not mentioned anywhere in the user context';
// Add special instruction for favorites scope
if (config.libraryScope === 'favorites') {
instructions += '\n\n' +
'IMPORTANT: The user has specifically handpicked these ' + libraryBooks.length + ' books as their personal favorites. ' +
'These represent their preferred genres, authors, themes, and styles. Use these as PRIMARY INSPIRATION for your recommendations. ' +
'Find books that capture the essence of what makes these favorites special to the user.';
}
const prompt = {
task: 'recommend_audiobooks',
user_context: {
library_books: libraryBooks.slice(0, 40),
swipe_history: swipeHistory.map(s => ({
title: s.title,
author: s.author,
user_action: s.action === 'right'
? (s.markedAsKnown ? 'marked_as_liked' : 'requested')
: s.action === 'left' ? 'rejected' : 'dismissed',
})),
custom_preferences: config.customPrompt || null,
},
instructions,
};
const promptString = JSON.stringify(prompt);
logger.debug('Full AI prompt:', { prompt: promptString });
return promptString;
}
/**
* Call AI API to get recommendations
* @param provider - 'openai' | 'claude'
* @param model - Model ID
* @param encryptedApiKey - Encrypted API key
* @param prompt - JSON prompt string
* @returns Parsed AI response with recommendations
*/
export async function callAI(
provider: string,
model: string,
encryptedApiKey: string,
prompt: string,
baseUrl?: string | null
): Promise<{ recommendations: AIRecommendation[] }> {
const encryptionService = getEncryptionService();
let apiKey = '';
try {
apiKey = encryptionService.decrypt(encryptedApiKey);
} catch (error) {
// Allow empty API key for custom provider (local models)
if (provider !== 'custom') {
throw error;
}
}
logger.info(`Calling AI provider: ${provider}, model: ${model}`);
// Define JSON schema for structured output
const responseSchema = {
type: 'json_schema',
json_schema: {
name: 'audiobook_recommendations',
strict: true,
schema: {
type: 'object',
properties: {
recommendations: {
type: 'array',
items: {
type: 'object',
properties: {
title: { type: 'string' },
author: { type: 'string' },
reason: { type: 'string' },
},
required: ['title', 'author', 'reason'],
additionalProperties: false,
},
minItems: 15,
maxItems: 20,
},
},
required: ['recommendations'],
additionalProperties: false,
},
},
};
const systemMessage = 'You are an expert audiobook recommender. ' +
'Your task is to recommend 15-20 NEW audiobooks that the user would enjoy. ' +
'NEVER recommend books that are already in the user\'s library or swipe history. ' +
'Focus on discovering books they haven\'t seen yet.';
if (provider === 'openai') {
const requestBody = {
model,
response_format: responseSchema,
messages: [
{
role: 'system',
content: systemMessage,
},
{
role: 'user',
content: prompt,
},
],
};
logger.debug('OpenAI request body:', { requestBody });
const response = await fetch('https://api.openai.com/v1/chat/completions', {
method: 'POST',
headers: {
'Authorization': `Bearer ${apiKey}`,
'Content-Type': 'application/json',
},
body: JSON.stringify(requestBody),
});
if (!response.ok) {
const errorText = await response.text();
logger.error('OpenAI API error', { status: response.status, error: errorText });
throw new Error(`OpenAI API error: ${response.status} ${errorText}`);
}
const data = await response.json();
const content = data.choices[0].message.content;
logger.debug('OpenAI response:', { content });
return JSON.parse(content);
} else if (provider === 'claude') {
const userMessage = `${systemMessage}\n\n${prompt}\n\nIMPORTANT: Provide exactly 15-20 recommendations. Return ONLY valid JSON with no additional text or formatting.`;
const requestBody = {
model,
max_tokens: 8192,
messages: [
{
role: 'user',
content: userMessage,
},
],
};
logger.debug('Claude request body:', { requestBody });
const response = await fetch('https://api.anthropic.com/v1/messages', {
method: 'POST',
headers: {
'x-api-key': apiKey,
'anthropic-version': '2023-06-01',
'content-type': 'application/json',
},
body: JSON.stringify(requestBody),
});
if (!response.ok) {
const errorText = await response.text();
logger.error('Claude API error', { status: response.status, error: errorText });
throw new Error(`Claude API error: ${response.status} ${errorText}`);
}
const data = await response.json();
const content = data.content[0].text;
logger.debug('Claude raw response:', { content });
// Claude sometimes wraps JSON in markdown code blocks, so clean it
const cleanedContent = content
.replace(/^```json\s*/i, '')
.replace(/\s*```$/i, '')
.trim();
logger.debug('Claude cleaned response:', { cleanedContent });
return JSON.parse(cleanedContent);
} else if (provider === 'gemini') {
const requestBody = {
systemInstruction: {
parts: [{ text: systemMessage }],
},
contents: [
{
parts: [{ text: prompt }],
},
],
generationConfig: {
responseMimeType: "application/json",
responseSchema: {
type: "OBJECT",
properties: {
recommendations: {
type: "ARRAY",
items: {
type: "OBJECT",
properties: {
title: { type: "STRING" },
author: { type: "STRING" },
reason: { type: "STRING" },
},
required: ["title", "author", "reason"],
},
},
},
required: ["recommendations"],
},
},
};
logger.debug('Gemini request body:', { requestBody });
const response = await fetch(`https://generativelanguage.googleapis.com/v1beta/models/${model}:generateContent?key=${apiKey}`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify(requestBody),
});
if (!response.ok) {
const errorText = await response.text();
logger.error('Gemini API error', { status: response.status, error: errorText });
throw new Error(`Gemini API error: ${response.status} ${errorText}`);
}
const data = await response.json();
const content = data.candidates?.[0]?.content?.parts?.[0]?.text;
if (!content) {
throw new Error('Invalid response format from Gemini API');
}
logger.debug('Gemini raw response:', { content });
// Clean potential markdown wrapping
const cleanedContent = content
.replace(/^```(?:json)?\s*/i, '')
.replace(/\s*```$/i, '')
.trim();
logger.debug('Gemini cleaned response:', { cleanedContent });
return JSON.parse(cleanedContent);
} else if (provider === 'custom') {
if (!baseUrl) {
throw new Error('Base URL is required for custom provider');
}
// Try with json_schema first
let requestBody: any = {
model,
response_format: responseSchema,
messages: [
{
role: 'system',
content: systemMessage,
},
{
role: 'user',
content: prompt,
},
],
};
logger.debug('Custom provider request body:', { requestBody, baseUrl });
const headers: Record<string, string> = {
'Content-Type': 'application/json',
};
// Only add Authorization header if API key provided
if (apiKey) {
headers['Authorization'] = `Bearer ${apiKey}`;
}
const endpoint = baseUrl.replace(/\/$/, '') + '/chat/completions';
try {
const response = await fetch(endpoint, {
method: 'POST',
headers,
body: JSON.stringify(requestBody),
});
if (!response.ok) {
const errorText = await response.text();
logger.error('Custom provider API error', { status: response.status, error: errorText });
// If response_format not supported, retry without it and add instructions to prompt
if (errorText.includes('response_format') || errorText.includes('json_schema')) {
logger.info('Retrying without response_format (provider does not support structured outputs)');
delete requestBody.response_format;
requestBody.messages[0].content = systemMessage + ' Return ONLY valid JSON with no additional text or formatting.';
const retryResponse = await fetch(endpoint, {
method: 'POST',
headers,
body: JSON.stringify(requestBody),
});
if (!retryResponse.ok) {
const retryErrorText = await retryResponse.text();
throw new Error(`Custom provider API error: ${retryResponse.status} ${retryErrorText}`);
}
const retryData = await retryResponse.json();
const retryContent = retryData.choices[0].message.content;
// Clean markdown code blocks
const cleanedContent = retryContent
.replace(/^```json\s*/i, '')
.replace(/\s*```$/i, '')
.trim();
logger.debug('Custom provider cleaned response (fallback):', { cleanedContent });
return JSON.parse(cleanedContent);
}
throw new Error(`Custom provider API error: ${response.status} ${errorText}`);
}
const data = await response.json();
const content = data.choices[0].message.content;
logger.debug('Custom provider response:', { content });
// Clean potential markdown wrapping (some providers still wrap even with json_schema)
const cleanedContent = content
.replace(/^```json\s*/i, '')
.replace(/\s*```$/i, '')
.trim();
return JSON.parse(cleanedContent);
} catch (error: any) {
logger.error('Custom provider error:', error);
throw new Error(`Custom provider error: ${error.message}`);
}
} else {
throw new Error(`Invalid provider: ${provider}`);
}
}
/**
* Match AI recommendation to Audnexus
* @param title - Book title
* @param author - Book author
* @returns Matched metadata or null
*/
export async function matchToAudnexus(
title: string,
author: string
): Promise<{
asin: string;
title: string;
author: string;
narrator: string | null;
rating: number | null;
description: string | null;
coverUrl: string | null;
} | null> {
try {
// Step 1: Search in Audible cache first (fastest)
const cached = await prisma.audibleCache.findFirst({
where: {
OR: [
{
title: {
contains: title,
mode: 'insensitive',
},
author: {
contains: author,
mode: 'insensitive',
},
},
],
},
select: {
asin: true,
title: true,
author: true,
narrator: true,
rating: true,
description: true,
coverArtUrl: true,
},
});
if (cached) {
logger.info(`Found in cache: "${cached.title}" by ${cached.author}`);
return {
asin: cached.asin,
title: cached.title,
author: cached.author,
narrator: cached.narrator,
rating: cached.rating ? parseFloat(cached.rating.toString()) : null,
description: cached.description,
coverUrl: cached.coverArtUrl,
};
}
// Step 2: Search Audible.com for the book
logger.info(`Not in cache, searching Audible for "${title}" by ${author}...`);
const audibleService = new AudibleService();
const searchQuery = `${title} ${author}`;
const searchResults = await audibleService.search(searchQuery, 1);
if (!searchResults.results || searchResults.results.length === 0) {
logger.warn(`No Audible search results for "${title}" by ${author}`);
return null;
}
// Take the first result (best match)
const firstResult = searchResults.results[0];
logger.info(`Found on Audible: "${firstResult.title}" (ASIN: ${firstResult.asin})`);
// Step 3: Use ASIN to fetch full details from Audnexus (or Audible as fallback)
const details = await audibleService.getAudiobookDetails(firstResult.asin);
if (!details) {
logger.warn(`Could not fetch details for ASIN ${firstResult.asin}`);
return null;
}
logger.info(`Successfully matched "${title}" to ASIN ${details.asin}`);
return {
asin: details.asin,
title: details.title,
author: details.author,
narrator: details.narrator || null,
rating: details.rating || null,
description: details.description || null,
coverUrl: details.coverArtUrl || null,
};
} catch (error) {
logger.error(`Audnexus matching error for "${title}"`, { error: error instanceof Error ? error.message : String(error) });
return null;
}
}
/**
* Check if book is already in user's library
* Uses the same matching algorithm as homepage (audiobook-matcher.ts)
* @param userId - User ID
* @param title - Book title
* @param author - Book author
* @param asin - Optional ASIN for exact matching
* @returns true if book is in library
*/
export async function isInLibrary(
userId: string,
title: string,
author: string,
asin?: string
): Promise<boolean> {
try {
// Use the centralized matching algorithm from audiobook-matcher.ts
// This ensures consistent matching behavior across the application
const match = await findPlexMatch({
asin: asin || '', // Empty ASIN will skip exact ASIN matching but still do fuzzy matching
title,
author,
});
if (match) {
logger.info(`Book "${title}" by ${author} found in library (matched to: "${match.title}")`);
}
return !!match;
} catch (error) {
logger.error(`Error checking library for "${title}"`, { error: error instanceof Error ? error.message : String(error) });
return false;
}
}
/**
* Check if book has already been requested (audiobook request)
* @param userId - User ID
* @param asin - Audible ASIN
* @returns true if book is already requested
*/
export async function isAlreadyRequested(
userId: string,
asin: string
): Promise<boolean> {
const request = await prisma.request.findFirst({
where: {
userId,
type: 'audiobook', // Only check audiobook requests (ebook requests are separate)
deletedAt: null, // Only check active requests
audiobook: {
audibleAsin: asin,
},
},
});
return !!request;
}
/**
* Check if book has already been swiped
* @param userId - User ID
* @param title - Book title
* @param author - Book author
* @returns true if book has been swiped
*/
export async function isAlreadySwiped(
userId: string,
title: string,
author: string
): Promise<boolean> {
const swipe = await prisma.bookDateSwipe.findFirst({
where: {
userId,
bookTitle: title,
bookAuthor: author,
},
});
return !!swipe;
}