use fuzzykot library

apps/vbox/backend/src/main/kotlin/ru/shadowsparky/vbox/backend/data/FuzzySearchFilter.kt

@@ -1,5 +1,6 @@
 package ru.shadowsparky.vbox.backend.data
 
+import com.github.terrakok.fuzzykot.Levenshtein
 import org.koin.core.annotation.Single
 import ru.shadowsparky.vbox.shared.domain.model.VideoItem
 
@@ -12,9 +13,9 @@ class FuzzyMovieSearchFilter {
         return original.map { movie ->
             val titleNormalized = movie.title.normalize()
             if (titleNormalized.contains(query)) {
-                return@map Pair(movie, 1.0)
+                return@map Pair(movie, 100)
             }
-            val score = titleNormalized.fuzzySimilarity(query)
+            val score = Levenshtein.tokenSortRatio(titleNormalized, query)
             Pair(movie, score)
         }.filter { it.second >= THRESHOLD }.sortedByDescending { it.second }.map { it.first }
     }
@@ -47,20 +48,7 @@ class FuzzyMovieSearchFilter {
         }
     }
 
-    private fun String.fuzzySimilarity(other: String): Double {
-        if (this == other) return 1.0
-        if (this.isBlank() || other.isBlank()) return 0.0
-        val s1Pairs = this.windowed(2)
-        val s2Pairs = other.windowed(2).toMutableList()
-        if (s1Pairs.isEmpty() || s2Pairs.isEmpty()) return 0.0
-        var matches = 0
-        for (pair in s1Pairs) {
-            if (s2Pairs.remove(pair)) { matches++ }
-        }
-        return (2.0 * matches) / (s1Pairs.size + other.windowed(2).size)
-    }
-
     private companion object {
-        const val THRESHOLD: Double = 0.45
+        const val THRESHOLD = 55
     }
 }