Files
SkinbaseNova/app/Services/Recommendation/UserPreferenceBuilder.php
Gregor Klevze 67ef79766c fix(gallery): fill tall portrait cards to full block width with object-cover crop
- ArtworkCard: add w-full to nova-card-media, use absolute inset-0 on img so
  object-cover fills the max-height capped box instead of collapsing the width
- MasonryGallery.css: add width:100% to media container, position img
  absolutely so top/bottom is cropped rather than leaving dark gaps
- Add React MasonryGallery + ArtworkCard components and entry point
- Add recommendation system: UserRecoProfile model/DTO/migration,
  SuggestedCreatorsController, SuggestedTagsController, Recommendation
  services, config/recommendations.php
- SimilarArtworksController, DiscoverController, HomepageService updates
- Update routes (api + web) and discover/for-you views
- Refresh favicon assets, update vite.config.js
2026-02-27 13:34:08 +01:00

308 lines
11 KiB
PHP

<?php
declare(strict_types=1);
namespace App\Services\Recommendation;
use App\DTOs\UserRecoProfileDTO;
use App\Models\User;
use App\Models\UserRecoProfile;
use Illuminate\Support\Facades\Cache;
use Illuminate\Support\Facades\DB;
use Illuminate\Support\Facades\Log;
/**
* UserPreferenceBuilder
*
* Builds (and caches) a UserRecoProfileDTO for a given user by aggregating
* signals from their interaction history:
*
* Signal Weight (default)
* ───────────────────────── ────────────────
* Award given (gold/silver) +5
* Artwork favourited +3
* Reaction given +2
* Creator followed (tags) +2 for their tags
* View recorded +1
*
* The result is persisted to `user_reco_profiles` (6-hour TTL by default) so
* subsequent requests in the same window skip all DB queries.
*
* Usage:
* $builder = app(UserPreferenceBuilder::class);
* $dto = $builder->build($user); // cached
* $dto = $builder->buildFresh($user); // force rebuild
*/
class UserPreferenceBuilder
{
// Redis / file cache key (short-lived insurance layer on top of DB row)
private const REDIS_TTL = 300; // 5 minutes — warm cache after DB write
public function __construct() {}
// ─── Public API ───────────────────────────────────────────────────────────
/**
* Return a cached profile DTO, rebuilding from DB if stale or absent.
*/
public function build(User $user): UserRecoProfileDTO
{
$cacheKey = $this->cacheKey($user->id);
// 1. Redis warm layer
/** @var array<string,mixed>|null $cached */
$cached = Cache::get($cacheKey);
if ($cached !== null) {
return UserRecoProfileDTO::fromArray($cached);
}
// 2. Persistent DB row
$row = UserRecoProfile::find($user->id);
if ($row !== null && $row->isFresh()) {
$dto = $row->toDTO();
Cache::put($cacheKey, $dto->toArray(), self::REDIS_TTL);
return $dto;
}
// 3. Rebuild
return $this->buildFresh($user);
}
/**
* Force a full rebuild from source tables, persist and cache the result.
*/
public function buildFresh(User $user): UserRecoProfileDTO
{
try {
$dto = $this->compute($user);
$this->persist($user->id, $dto);
Cache::put($this->cacheKey($user->id), $dto->toArray(), self::REDIS_TTL);
return $dto;
} catch (\Throwable $e) {
Log::warning('UserPreferenceBuilder: failed to build profile', [
'user_id' => $user->id,
'error' => $e->getMessage(),
]);
return new UserRecoProfileDTO();
}
}
/**
* Invalidate only the Redis warm layer (DB row stays intact until TTL).
*/
public function invalidate(int $userId): void
{
Cache::forget($this->cacheKey($userId));
}
// ─── Computation ──────────────────────────────────────────────────────────
private function compute(User $user): UserRecoProfileDTO
{
$sigWeights = (array) config('recommendations.signal_weights', []);
$wAward = (float) ($sigWeights['award'] ?? 5.0);
$wFav = (float) ($sigWeights['favorite'] ?? 3.0);
$wFollow = (float) ($sigWeights['follow'] ?? 2.0);
$tagLimit = (int) config('recommendations.profile.top_tags_limit', 20);
$catLimit = (int) config('recommendations.profile.top_categories_limit', 5);
$creatorLimit = (int) config('recommendations.profile.strong_creators_limit', 50);
// ── 1. Tag scores from favourited artworks ────────────────────────────
$tagRaw = $this->tagScoresFromFavourites($user->id, $wFav);
// ── 2. Tag scores from awards given ──────────────────────────────────
foreach ($this->tagScoresFromAwards($user->id, $wAward) as $slug => $score) {
$tagRaw[$slug] = ($tagRaw[$slug] ?? 0.0) + $score;
}
// ── 3. Creator IDs from follows (top N) ───────────────────────────────
$followedIds = $this->followedCreatorIds($user->id, $creatorLimit);
// ── 4. Tag scores lifted from followed creators' recent works ─────────
if ($followedIds !== []) {
foreach ($this->tagScoresFromFollowedCreators($followedIds, $wFollow) as $slug => $score) {
$tagRaw[$slug] = ($tagRaw[$slug] ?? 0.0) + $score;
}
}
// ── 5. Category scores from favourited artworks ───────────────────────
$catRaw = $this->categoryScoresFromFavourites($user->id, $wFav);
// Sort descending and take top N
arsort($tagRaw);
arsort($catRaw);
$topTagSlugs = array_keys(array_slice($tagRaw, 0, $tagLimit));
$topCatSlugs = array_keys(array_slice($catRaw, 0, $catLimit));
$tagWeights = $this->normalise($tagRaw);
$catWeights = $this->normalise($catRaw);
return new UserRecoProfileDTO(
topTagSlugs: $topTagSlugs,
topCategorySlugs: $topCatSlugs,
strongCreatorIds: $followedIds,
tagWeights: $tagWeights,
categoryWeights: $catWeights,
);
}
// ─── Signal collectors ────────────────────────────────────────────────────
/**
* @return array<string, float> slug → raw score
*/
private function tagScoresFromFavourites(int $userId, float $weight): array
{
$rows = DB::table('artwork_favourites as af')
->join('artwork_tag as at', 'at.artwork_id', '=', 'af.artwork_id')
->join('tags as t', 't.id', '=', 'at.tag_id')
->where('af.user_id', $userId)
->where('t.is_active', true)
->selectRaw('t.slug, COUNT(*) as cnt')
->groupBy('t.id', 't.slug')
->get();
$scores = [];
foreach ($rows as $row) {
$scores[(string) $row->slug] = (float) $row->cnt * $weight;
}
return $scores;
}
/**
* @return array<string, float>
*/
private function tagScoresFromAwards(int $userId, float $weight): array
{
$rows = DB::table('artwork_awards as aa')
->join('artwork_tag as at', 'at.artwork_id', '=', 'aa.artwork_id')
->join('tags as t', 't.id', '=', 'at.tag_id')
->where('aa.user_id', $userId)
->where('t.is_active', true)
->selectRaw('t.slug, SUM(aa.weight) as total_weight')
->groupBy('t.id', 't.slug')
->get();
$scores = [];
foreach ($rows as $row) {
$scores[(string) $row->slug] = (float) $row->total_weight * $weight;
}
return $scores;
}
/**
* @param array<int, int> $creatorIds
* @return array<string, float>
*/
private function tagScoresFromFollowedCreators(array $creatorIds, float $weight): array
{
if ($creatorIds === []) {
return [];
}
// Sample recent artworks to avoid full scan
$rows = DB::table('artworks as a')
->join('artwork_tag as at', 'at.artwork_id', '=', 'a.id')
->join('tags as t', 't.id', '=', 'at.tag_id')
->whereIn('a.user_id', $creatorIds)
->where('a.is_public', true)
->where('a.is_approved', true)
->where('t.is_active', true)
->whereNull('a.deleted_at')
->orderByDesc('a.published_at')
->limit(500)
->selectRaw('t.slug, COUNT(*) as cnt')
->groupBy('t.id', 't.slug')
->get();
$scores = [];
foreach ($rows as $row) {
$scores[(string) $row->slug] = (float) $row->cnt * $weight;
}
return $scores;
}
/**
* @return array<string, float>
*/
private function categoryScoresFromFavourites(int $userId, float $weight): array
{
$rows = DB::table('artwork_favourites as af')
->join('artwork_category as ac', 'ac.artwork_id', '=', 'af.artwork_id')
->join('categories as c', 'c.id', '=', 'ac.category_id')
->where('af.user_id', $userId)
->whereNull('c.deleted_at')
->selectRaw('c.slug, COUNT(*) as cnt')
->groupBy('c.id', 'c.slug')
->get();
$scores = [];
foreach ($rows as $row) {
$scores[(string) $row->slug] = (float) $row->cnt * $weight;
}
return $scores;
}
/**
* @return array<int, int>
*/
private function followedCreatorIds(int $userId, int $limit): array
{
return DB::table('user_followers')
->where('follower_id', $userId)
->orderByDesc('created_at')
->limit($limit)
->pluck('user_id')
->map(fn ($id) => (int) $id)
->all();
}
// ─── Helpers ──────────────────────────────────────────────────────────────
/**
* Normalise a raw score map to sum 1.0.
*
* @param array<string, float> $raw
* @return array<string, float>
*/
private function normalise(array $raw): array
{
$sum = array_sum($raw);
if ($sum <= 0.0) {
return $raw;
}
return array_map(fn (float $v): float => round($v / $sum, 6), $raw);
}
private function cacheKey(int $userId): string
{
return "user_reco_profile:{$userId}";
}
// ─── Persistence ──────────────────────────────────────────────────────────
private function persist(int $userId, UserRecoProfileDTO $dto): void
{
$data = $dto->toArray();
UserRecoProfile::query()->updateOrCreate(
['user_id' => $userId],
[
'top_tags_json' => $data['top_tags'],
'top_categories_json' => $data['top_categories'],
'followed_creator_ids_json' => $data['strong_creators'],
'tag_weights_json' => $data['tag_weights'],
'category_weights_json' => $data['category_weights'],
'disliked_tag_ids_json' => $data['disliked_tags'],
]
);
}
}