Added fuzzy finder to search, made sync check as middleware, .id file is never used
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@@ -0,0 +1,403 @@
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package web
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import (
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"log"
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"music-server/internal/backend"
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"net/http"
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"regexp"
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"sort"
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"strings"
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"sync"
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"unicode"
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)
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var soundtracks_added []string
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// Precomputed data for optimization
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type SoundtrackData struct {
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Original string
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Cleaned string
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Abbreviation string
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}
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var (
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precomputedSoundtracks []SoundtrackData
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precomputedOnce sync.Once
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regexCache = make(map[string]*regexp.Regexp)
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regexCacheMutex sync.Mutex
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)
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func FindSoundtrackWebHandler(w http.ResponseWriter, r *http.Request) {
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err := r.ParseForm()
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if err != nil {
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http.Error(w, "Bad Request", http.StatusBadRequest)
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}
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search_term := r.FormValue("search_term")
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search(search_term)
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component := FoundSoundtracks(soundtracks_added)
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err = component.Render(r.Context(), w)
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if err != nil {
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http.Error(w, err.Error(), http.StatusBadRequest)
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log.Fatalf("Error rendering in FindSoundtrackWebHandler: %e", err)
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}
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}
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func search(searchText string) {
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soundtracks_added = nil
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// Precompute cleaned search term once
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cleanedSearchTerm := clean_term(searchText)
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// Use precomputed data for efficiency
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soundtrackData := getPrecomputedSoundtracks()
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seen := make(map[string]bool) // O(1) duplicate checking
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for _, data := range soundtrackData {
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// Check exact match (case-insensitive contains)
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if is_match_exact(searchText, data.Original) && !seen[data.Original] {
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soundtracks_added = append(soundtracks_added, data.Original)
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seen[data.Original] = true
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}
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}
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for _, data := range soundtrackData {
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// Check contains match with cleaned terms
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if !seen[data.Original] && is_match_contains(cleanedSearchTerm, data.Cleaned) {
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soundtracks_added = append(soundtracks_added, data.Original)
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seen[data.Original] = true
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}
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}
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for _, data := range soundtrackData {
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// Check regex match with cleaned terms
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if !seen[data.Original] && is_match_regex_cached(cleanedSearchTerm, data.Cleaned) {
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soundtracks_added = append(soundtracks_added, data.Original)
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seen[data.Original] = true
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}
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}
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}
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func is_match_exact(search_term string, soundtrack_name string) bool {
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search_term = strings.ToLower(search_term)
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soundtrack_name = strings.ToLower(soundtrack_name)
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if search_term == "" {
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return true
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} else if strings.Contains(soundtrack_name, search_term) {
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return true
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} else {
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return false
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}
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}
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func is_match_contains(search_term string, soundtrack_name string) bool {
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if search_term == "" {
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return true
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} else if strings.Contains(soundtrack_name, search_term) {
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return true
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} else {
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return false
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}
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}
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func is_match_regex(search_term string, soundtrack_name string) bool {
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if search_term == "" {
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return true
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} else if compile_regex(search_term).MatchString(soundtrack_name) {
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return true
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} else {
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return false
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}
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}
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func compile_regex(search_term string) *regexp.Regexp {
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regText := ".*"
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for _, letter := range search_term {
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regText += string(letter) + ".*"
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}
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r, _ := regexp.Compile(regText)
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return r
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}
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// is_match_regex_cached uses cached compiled regex patterns for better performance
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func is_match_regex_cached(search_term string, soundtrack_name string) bool {
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if search_term == "" {
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return true
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}
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// Check cache first
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regexCacheMutex.Lock()
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re, exists := regexCache[search_term]
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if !exists {
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re = compile_regex(search_term)
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regexCache[search_term] = re
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}
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regexCacheMutex.Unlock()
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return re.MatchString(soundtrack_name)
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}
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func clean_term(term string) string {
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term = strings.ReplaceAll(term, " ", "")
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term = strings.ReplaceAll(term, "é", "e")
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term = strings.ReplaceAll(term, "+", "plus")
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term = strings.ReplaceAll(term, "&", "and")
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term = strings.ReplaceAll(term, "'n", "and")
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return strings.ToLower(term)
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}
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// toLower converts a string to lowercase.
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func toLower(s string) string {
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return strings.Map(unicode.ToLower, s)
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}
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// levenshteinWithThreshold calculates Levenshtein distance with early termination and space optimization.
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// Uses O(min(n,m)) space instead of O(n*m) and stops early if threshold is exceeded.
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func levenshteinWithThreshold(s, t string, threshold int) int {
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if threshold < 0 {
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threshold = 2 // default threshold
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}
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m, n := len(s), len(t)
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// Quick checks for early termination
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if m == 0 {
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return n
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}
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if n == 0 {
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return m
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}
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if abs(m-n) > threshold {
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return threshold + 1 // Can't be within threshold
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}
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// Use the shorter string for the row to minimize space
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if m < n {
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s, t = t, s
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m, n = n, m
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}
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// Space optimization: only store two rows
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prevRow := make([]int, n+1)
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currRow := make([]int, n+1)
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// Initialize first row
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for j := 0; j <= n; j++ {
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prevRow[j] = j
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}
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for i := 1; i <= m; i++ {
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currRow[0] = i
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minInRow := currRow[0]
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for j := 1; j <= n; j++ {
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if s[i-1] == t[j-1] {
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currRow[j] = prevRow[j-1]
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} else {
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currRow[j] = min3(prevRow[j], currRow[j-1], prevRow[j-1]) + 1
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}
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if currRow[j] < minInRow {
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minInRow = currRow[j]
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}
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}
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// Early termination: if minimum in current row exceeds threshold
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if minInRow > threshold {
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return threshold + 1
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}
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// Swap rows for next iteration
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prevRow, currRow = currRow, prevRow
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}
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return prevRow[n]
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}
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// Helper functions for optimized Levenshtein
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func abs(x int) int {
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if x < 0 {
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return -x
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}
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return x
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}
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func min3(a, b, c int) int {
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if a < b {
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if a < c {
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return a
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}
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return c
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}
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if b < c {
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return b
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}
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return c
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}
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// precomputeSoundtrackData initializes cleaned terms and abbreviations for all soundtracks
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func precomputeSoundtrackData() {
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precomputedOnce.Do(func() {
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soundtracks := backend.GetAllSoundtracks()
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precomputedSoundtracks = make([]SoundtrackData, len(soundtracks))
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for i, soundtrack := range soundtracks {
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cleaned := clean_term(soundtrack)
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precomputedSoundtracks[i] = SoundtrackData{
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Original: soundtrack,
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Cleaned: cleaned,
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Abbreviation: extractAbbreviation(soundtrack),
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}
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}
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})
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}
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// getPrecomputedSoundtracks ensures precomputed data is available and returns it
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func getPrecomputedSoundtracks() []SoundtrackData {
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precomputeSoundtrackData()
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return precomputedSoundtracks
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}
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// levenshtein maintains backward compatibility by calling the optimized version
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func levenshtein(s, t string) int {
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return levenshteinWithThreshold(s, t, -1) // -1 uses default threshold
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}
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// extractAbbreviation extracts the first letters of each word in a string.
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func extractAbbreviation(s string) string {
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words := strings.Fields(s)
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abbr := ""
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for _, word := range words {
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if len(word) > 0 {
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abbr += string(word[0])
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}
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}
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return toLower(abbr)
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}
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// fuzzyFindSubstring checks if the query fuzzy-matches any substring of the item.
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func fuzzyFindSubstring(query, item string, threshold int) (bool, int) {
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query = toLower(query)
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item = toLower(item)
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queryLen := len(query)
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itemLen := len(item)
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if queryLen > itemLen {
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return false, 0
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}
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// Check for exact substring match first (weight: 100)
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if strings.Contains(item, query) {
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return true, 100
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}
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// Check for fuzzy substring match using optimized Levenshtein
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for i := 0; i <= itemLen-queryLen; i++ {
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substring := item[i : i+queryLen]
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distance := levenshteinWithThreshold(query, substring, threshold)
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if distance <= threshold {
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// Weight: higher for matches at the start of the string
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weight := 50 - i // Higher weight for earlier matches
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return true, weight
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}
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}
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return false, 0
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}
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// fuzzyFind checks if the query matches the item (substring or abbreviation).
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func fuzzyFind(query string, item string, threshold int) (bool, int) {
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query = toLower(query)
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item = toLower(item)
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// Check for substring fuzzy match
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if matched, weight := fuzzyFindSubstring(query, item, threshold); matched {
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return true, weight
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}
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// Check for abbreviation match using optimized Levenshtein
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abbr := extractAbbreviation(item)
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distance := levenshteinWithThreshold(query, abbr, threshold)
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if distance <= threshold {
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// Weight: higher for exact abbreviation matches
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weight := 100 - distance*10 // Higher weight for exact matches
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return true, weight
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}
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return false, 0
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}
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// getAdaptiveThreshold returns a threshold based on query length
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func getAdaptiveThreshold(query string) int {
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threshold := 2 // Base threshold for minor typos
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queryLen := len(query)
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if queryLen > 6 {
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// For longer queries, allow more tolerance
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threshold = queryLen / 3
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if threshold < 2 {
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threshold = 2
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} else if threshold > 4 {
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threshold = 4 // Cap at 4 for very long queries
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}
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}
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return threshold
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}
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// fuzzySearch performs fuzzy search on soundtracks using the cleaned terms for consistency
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func fuzzySearch(searchText string) []string {
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query := clean_term(searchText)
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threshold := getAdaptiveThreshold(query)
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// Use precomputed data for efficiency
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soundtrackData := getPrecomputedSoundtracks()
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type match struct {
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item string
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weight int
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}
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var matches []match
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seen := make(map[string]bool) // O(1) duplicate checking
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for _, data := range soundtrackData {
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if matched, weight := fuzzyFind(query, data.Cleaned, threshold); matched {
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if !seen[data.Original] {
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matches = append(matches, match{data.Original, weight})
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seen[data.Original] = true
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}
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}
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}
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// Sort matches by weight (descending)
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sort.Slice(matches, func(i, j int) bool {
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return matches[i].weight > matches[j].weight
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})
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// Extract just the soundtrack names in order
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result := make([]string, len(matches))
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for i, m := range matches {
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result[i] = m.item
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}
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return result
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}
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// FindSoundtrackFuzzyWebHandler handles fuzzy search requests
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func FindSoundtrackFuzzyWebHandler(w http.ResponseWriter, r *http.Request) {
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err := r.ParseForm()
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if err != nil {
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http.Error(w, "Bad Request", http.StatusBadRequest)
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return
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}
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search_term := r.FormValue("search_term")
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results := fuzzySearch(search_term)
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component := FoundSoundtracks(results)
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err = component.Render(r.Context(), w)
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if err != nil {
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http.Error(w, err.Error(), http.StatusBadRequest)
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log.Fatalf("Error rendering in FindSoundtrackFuzzyWebHandler: %e", err)
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}
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}
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