Build an Anime Recommendation Engine

// 1. Fetch user's anime library from Kitsu
const libraryRes = await fetch(
  'https://kitsu.io/api/edge/users/YOUR_USER_ID/library-entries?filter[status]=completed&include=anime&page[limit]=20',
  { headers: { 'Authorization': 'Bearer YOUR_OAUTH_TOKEN', 'Accept': 'application/vnd.api+json' } }
);
const library = await libraryRes.json();
const watchedAnime = library.included.map(a => ({
  id: a.id,
  title: a.attributes.canonicalTitle,
  genres: a.relationships?.genres?.data || []
}));

// 2. Extract favorite genres
const genreCounts = {};
watchedAnime.forEach(a => {
  a.genres.forEach(g => { genreCounts[g.id] = (genreCounts[g.id] || 0) + 1; });
});
const topGenres = Object.entries(genreCounts).sort((a, b) => b[1] - a[1]).slice(0, 3);

// 3. Search AniAPI for recommendations
const aniRes = await fetch(
  `https://api.aniapi.com/v1/anime?genres=${topGenres.map(g => g[0]).join(',')}&sort_fields=score&sort_directions=-1&per_page=10`,
  { headers: { 'Authorization': 'Bearer YOUR_ANIAPI_TOKEN' } }
);
const { data: { documents: recommendations } } = await aniRes.json();

// 4. Filter out already-watched anime
const watchedIds = new Set(watchedAnime.map(a => a.id));
const newRecs = recommendations.filter(r => !watchedIds.has(String(r.id)));

// 5. Display recommendations
console.log('Anime Recommendations For You:');
newRecs.slice(0, 5).forEach(r => {
  console.log(`${r.titles.en || r.titles.rj} - Score: ${r.score}/100`);
  console.log(`  Genres: ${r.genres.join(', ')}`);
});