core: restore compilation and tests (ports, DTOs, repo fixes, metrics)

2026-05-20 16:57:19 +03:00
parent ea7e66c1a0
commit 5f2a6d12ac
18 changed files with 766 additions and 36 deletions
@@ -0,0 +1,117 @@
+package com.project.movienight.application.services
+
+import com.project.movienight.adapters.metrics.BusinessMetricsService
+import com.project.movienight.application.ports.input.GetRecommendationsUseCase
+import com.project.movienight.application.ports.input.RecommendationQuery
+import com.project.movienight.application.ports.output.FilmLibraryRepositoryPort
+import com.project.movienight.application.ports.output.FilmRatingRepositoryPort
+import com.project.movienight.application.ports.output.FilmRepositoryPort
+import com.project.movienight.application.ports.output.UserPreferencesRepositoryPort
+import com.project.movienight.domain.model.ContentType
+import com.project.movienight.domain.model.Film
+import com.project.movienight.domain.model.RecommendationResult
+import org.springframework.stereotype.Service
+
+@Service
+class RecommendationService(
+    private val filmRepository: FilmRepositoryPort,
+    private val filmLibraryRepository: FilmLibraryRepositoryPort,
+    private val filmRatingRepository: FilmRatingRepositoryPort,
+    private val userPreferencesRepository: UserPreferencesRepositoryPort,
+    private val businessMetricsService: BusinessMetricsService,
+) : GetRecommendationsUseCase {
+    override fun recommend(query: RecommendationQuery): List<RecommendationResult> {
+        businessMetricsService.recordRecommendationRequest()
+        val preferences = userPreferencesRepository.findByUserId(query.userId)
+        val ratings = filmRatingRepository.findByUserId(query.userId).associateBy { it.filmId }
+        val watchedFilmIds =
+            filmLibraryRepository
+                .findAll()
+                .filter {
+                    it.userId == query.userId && it.isViewed
+                }.map { it.filmId }
+                .toSet()
+
+        return filmRepository
+            .findAll()
+            .asSequence()
+            .filter { film -> query.contentType == null || film.contentType == query.contentType }
+            .map { film ->
+                scoreFilm(film, query.mood, preferences, ratings[film.id] != null, watchedFilmIds.contains(film.id))
+            }.sortedByDescending { it.score }
+            .take(query.limit.coerceAtLeast(1))
+            .toList()
+    }
+
+    private fun scoreFilm(
+        film: Film,
+        mood: String?,
+        preferences: com.project.movienight.domain.model.UserPreferences?,
+        hasUserRating: Boolean,
+        watched: Boolean,
+    ): RecommendationResult {
+        var score = 0.0
+        val reasons = mutableListOf<String>()
+
+        preferences?.contentTypes?.let {
+            if (it.isEmpty() || it.contains(film.contentType)) {
+                score += 2.0
+                reasons += "Matches content preference"
+            }
+        }
+
+        preferences?.weightedGenres?.forEach { (genre, weight) ->
+            if (film.genres.any { it.equals(genre, ignoreCase = true) }) {
+                score += weight
+                reasons += "Matches genre $genre"
+            }
+        }
+
+        preferences?.castAndDirectors?.forEach { favorite ->
+            val found =
+                film.cast.any { it.equals(favorite, ignoreCase = true) } ||
+                    film.directors.any { it.equals(favorite, ignoreCase = true) }
+            if (found) {
+                score += 1.5
+                reasons += "Matches favorite creator or cast member $favorite"
+            }
+        }
+
+        preferences?.moods?.forEach { preferredMood ->
+            if (mood != null && preferredMood.equals(mood, ignoreCase = true)) {
+                score += 1.25
+                reasons += "Matches requested mood $mood"
+            }
+        }
+
+        film.imdbRating?.let {
+            score += it / 2.0
+            reasons += "Strong IMDb signal"
+        }
+
+        film.platformRating?.let {
+            score += it
+            reasons += "Strong platform signal"
+        }
+
+        if (hasUserRating) {
+            score += 2.0
+            reasons += "User has already rated similar content"
+        }
+
+        if (watched) {
+            score -= 3.0
+            reasons += "Already watched"
+        }
+
+        if (mood != null && film.title.contains(mood, ignoreCase = true)) {
+            score += 0.5
+        }
+
+        if (reasons.isEmpty()) {
+            reasons += "Baseline recommendation from library catalog"
+        }
+
+        return RecommendationResult(film = film, score = score, reasons = reasons)
+    }
+}