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some fixes

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This commit is contained in:
kveld9
2026-04-15 11:50:44 -03:00
parent a44581e5d6
commit fc90617e9c
10 changed files with 68 additions and 31 deletions
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src/pages/Artists.tsx
+1 -1
View File
@@ -82,7 +82,7 @@ export default function Artists() {
const [viewMode, setViewMode] = useState<'grid' | 'list'>('grid');
const showArtistImages = useAuthStore(s => s.showArtistImages);
const PAGE_SIZE = showArtistImages ? 50 : 100; // Menor con imágenes para reducir I/O
const PAGE_SIZE = showArtistImages ? 50 : 100; // Smaller with images to reduce I/O
const [visibleCount, setVisibleCount] = useState(PAGE_SIZE);
const [loadingMore, setLoadingMore] = useState(false);
const observerTarget = useRef<HTMLDivElement>(null);
src/pages/PlaylistDetail.tsx
+30 -30
View File
@@ -61,12 +61,12 @@ function codecLabel(song: SubsonicSong, showBitrate: boolean): string {
interface SpotifyCsvTrack {
trackName: string;
artistName: string;
artistNames: string[]; // Array de todos los artistas para mejor matching
artistNames: string[]; // Array of all artists for better matching
albumName: string;
isrc?: string;
}
// Mapeo de headers a campos canónicos (soporta inglés y español)
// Header mapping to canonical fields (supports English and Spanish)
const HEADER_MAPPINGS: Record<string, string> = {
// Track name
'track name': 'trackName',
@@ -145,7 +145,7 @@ function extractFeaturedArtists(title: string): string[] {
}
function parseSpotifyCsv(csvContent: string): SpotifyCsvTrack[] {
// Strip BOM y parsear con Papa Parse
// Strip BOM and parse with Papa Parse
const cleanContent = csvContent.replace(/^\uFEFF/, '');
const parseResult = Papa.parse(cleanContent, {
@@ -163,7 +163,7 @@ function parseSpotifyCsv(csvContent: string): SpotifyCsvTrack[] {
const data = parseResult.data as Record<string, string>[];
// Verificar columnas requeridas
// Verify required columns
if (!data.length || !data[0].trackName || !data[0].artistName) {
console.error('CSV columns not found. Available headers:', Object.keys(data[0] || {}));
return [];
@@ -181,7 +181,7 @@ function parseSpotifyCsv(csvContent: string): SpotifyCsvTrack[] {
if (!trackName || !artistField) continue;
// Parsear múltiples artistas del campo + extraer colaboradores del título
// Parse multiple artists from field + extract collaborators from title
const artistNames = parseArtists(artistField);
const featuredArtists = extractFeaturedArtists(trackName);
const allArtists = [...new Set([...artistNames, ...featuredArtists])];
@@ -508,7 +508,7 @@ export default function PlaylistDetail() {
};
// ── CSV Import ──────────────────────────────────────────────
// Normalizar strings para matching: quita tildes, caracteres especiales, lowercase, trim
// Normalize strings for matching: remove accents, special chars, lowercase, trim
const normalizeForMatching = (s: string): string =>
s.toLowerCase()
.normalize('NFD')
@@ -517,7 +517,7 @@ export default function PlaylistDetail() {
.replace(/[æ]/gi, 'ae')
.trim();
// Limpia sufijos comunes de títulos (remasterizados, en vivo, ediciones, etc.)
// Clean common title suffixes (remastered, live, editions, etc.)
const cleanTrackTitle = (title: string): string => {
const suffixes = [
// Remastered variants
@@ -612,19 +612,19 @@ export default function PlaylistDetail() {
/\s*\(\d{4}\)$/i,
];
let cleaned = title.trim();
// Aplicar patrones múltiples veces para casos anidados
// Apply patterns multiple times for nested cases
for (let i = 0; i < 3; i++) {
const previous = cleaned;
for (const regex of suffixes) {
cleaned = cleaned.replace(regex, '');
}
cleaned = cleaned.trim();
if (previous === cleaned) break; // No más cambios
if (previous === cleaned) break; // No more changes
}
return cleaned;
};
// Distancia de Levenshtein para scoring de similitud
// Levenshtein distance for similarity scoring
const levenshtein = (a: string, b: string): number => {
const matrix: number[][] = [];
for (let i = 0; i <= b.length; i++) matrix[i] = [i];
@@ -642,12 +642,12 @@ export default function PlaylistDetail() {
const similarityScore = (a: string, b: string): number => {
const maxLen = Math.max(a.length, b.length);
if (maxLen === 0) return 1;
// Usar strings normalizados (sin tildes) para comparación
// Use normalized strings (without accents) for comparison
const dist = levenshtein(normalizeForMatching(a), normalizeForMatching(b));
return 1 - dist / maxLen;
};
// Procesa búsquedas en batches para no saturar el servidor
// Process searches in batches to avoid overloading the server
const processBatch = async <T, R>(
items: T[],
batchSize: number,
@@ -679,7 +679,7 @@ export default function PlaylistDetail() {
const csvTracks = parseSpotifyCsv(content);
if (csvTracks.length === 0) {
showToast('No valid tracks found in CSV file', 3000, 'error');
showToast(t('playlists.csvImportNoValidTracks'), 3000, 'error');
setCsvImporting(false);
return;
}
@@ -691,10 +691,10 @@ export default function PlaylistDetail() {
const duplicateTracks: SpotifyCsvTrack[] = [];
let duplicateCount = 0;
// Procesar en batches de 10 para balance velocidad/servidor
// Process in batches of 10 to balance speed/server load
await processBatch(csvTracks, 10, async (track) => {
try {
// Retry: 2 intentos en caso de error de red
// Retry: 2 attempts in case of network error
let searchResult;
let attempts = 0;
const maxAttempts = 2;
@@ -706,7 +706,7 @@ export default function PlaylistDetail() {
} catch (err) {
attempts++;
if (attempts >= maxAttempts) throw err;
// Esperar 500ms antes de reintentar
// Wait 500ms before retrying
await new Promise(r => setTimeout(r, 500));
}
}
@@ -716,32 +716,32 @@ export default function PlaylistDetail() {
return null;
}
// Scoring de confianza para cada resultado
// Limpiar título del CSV para comparación justa
// Confidence scoring for each result
// Clean CSV title for fair comparison
const cleanCsvTitle = cleanTrackTitle(track.trackName);
const scoredMatches = searchResult.songs.map(s => {
// Vía rápida ISRC: si ambos tienen ISRC y coinciden, score perfecto
// Fast ISRC path: if both have ISRC and they match, perfect score
if (track.isrc && s.isrc && track.isrc.toUpperCase() === s.isrc.toUpperCase()) {
return { song: s, score: 1.0, titleScore: 1.0, artistScore: 1.0, isrcMatch: true };
}
// Limpiar título del resultado también
// Clean the result title as well
const cleanResultTitle = cleanTrackTitle(s.title);
const titleScore = similarityScore(cleanResultTitle, cleanCsvTitle);
// Scoring de artista: máximo score contra cualquiera de los artistas del CSV
// Artist scoring: maximum score against any of the CSV artists
const artistScore = s.artist
? Math.max(...track.artistNames.map(csvArtist =>
similarityScore(s.artist || '', csvArtist)
))
: 0;
// Si no hay álbum en CSV o en local, usar 1.0 (neutral) para no penalizar
// If no album in CSV or local, use 1.0 (neutral) to avoid penalizing
const albumScore = (s.album && track.albumName)
? similarityScore(s.album, track.albumName)
: 1.0;
// Peso dinámico: títulos específicos (>4 palabras) → más peso al título
// Dynamic weight: specific titles (>4 words) → more weight to title
const titleWords = cleanCsvTitle.split(/\s+/).length;
const isSpecificTitle = titleWords > 4;
const titleWeight = isSpecificTitle ? 0.55 : 0.4;
@@ -809,10 +809,10 @@ export default function PlaylistDetail() {
? ` (${searchErrors.length} network errors - may retry)`
: '';
// Determinar tipo de toast según resultados:
// - success: todas las canciones fueron añadidas correctamente
// - warning: al menos una añadida, pero algunas no se encontraron/duplicadas
// - error: ninguna añadida (todas duplicadas o no encontradas)
// Determine toast type based on results:
// - success: all songs were added successfully
// - warning: at least one added, but some not found/duplicates
// - error: none added (all duplicates or not found)
const hasAdded = addedSongs.length > 0;
const hasIssues = notFound.length > 0 || duplicateCount > 0 || searchErrors.length > 0;
@@ -826,13 +826,13 @@ export default function PlaylistDetail() {
}
showToast(
`${addedSongs.length} added, ${notFound.length} not found, ${duplicateCount} duplicates${errorMsg}`,
t('playlists.csvImportToast', { added: addedSongs.length, notFound: notFound.length, duplicates: duplicateCount }) + errorMsg,
5000,
toastVariant
);
} catch (err) {
console.error('CSV import failed:', err);
showToast('Failed to import CSV file', 3000, 'error');
showToast(t('playlists.csvImportFailed'), 3000, 'error');
} finally {
setCsvImporting(false);
}
@@ -1999,7 +1999,7 @@ function CsvImportReportModal({ report, playlistName, onClose }: CsvReportModalP
</>
)}
<div className="modal-actions" style={{ marginTop: 'auto' }}>
<div className="modal-actions" style={{ marginTop: 'auto', display: 'flex', justifyContent: 'flex-end', gap: 12 }}>
<button className="btn btn-surface" onClick={downloadReport}>
<Download size={14} /> {t('playlists.csvImportDownloadReport')}
</button>