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Author SHA1 Message Date
lucianoandClaude Opus 4.7 9644ffec35 feat: metadati AI detection + prompt/lyrics + pannello frame grezzi (v1.13.0)
Metadati tab estesa per audit e cleanup file AI-generated:

- Nuovi campi read/write: source_url (WOAS ID3), lyrics (USLT), plus
  \xa9lyr per M4A
- Badge AI con riconoscimento: Suno, Udio, Riffusion, Mubert, AIVA,
  Boomy, SoundRAW, Loudly + presenza C2PA manifest (GEOB frame)
- Pannello "Metadati avanzati" collapsable: tabella di tutti i frame
  ID3 grezzi (chiave, tipo text/binary, preview, size)
- Rimozione selettiva frame custom via bridge remove_metadata_frames:
  ID3.__delitem__() + save() per MP3, MP4.tags per M4A. Frame standard
  protetti (TIT2/TPE1/APIC ecc.) marcati 🔒 nella UI, si svuotano dai
  campi form
- Rilevamento AI riusabile via core.metadata._detect_ai(comment,
  source_url, extra) — case-insensitive, returns (is_ai, source_name)

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-09-24 11:13:58 +02:00
luciano 8432b2a592 polish: Charts UI + sidebar categorie + prune Traxsource generi (v1.12.0)
- Charts CSS: .charts-filters[hidden] display:none !important, altrimenti
  la regola display:flex sovrascriveva l'attributo hidden e tutti i pannelli
  filtro delle 4 sorgenti erano visibili contemporaneamente
- Sidebar riorganizzata in 4 categorie (Scarica/Organizza/Altro/Sistema)
  con .nav-section-label uppercase piccole tra i gruppi
- Traxsource: rimossi 10 generi per cui il sito ha rimosso la playlist
  canonica "Top 100 <genre> of <month>" (broken-beat-nu-jazz, classic-house,
  drum-and-bass, electro-house, electronica, leftfield, lounge-chill-out,
  pop-dance, r-and-b-hip-hop, world). Dropdown ora mostra solo 13 generi
  con Top 100 attiva verificata
2026-09-01 21:08:04 +02:00
luciano 39e843dc69 ui: tab Charts con tabella streaming + integrazione coda Scarica
Nuova tab "Charts" (nav-item con icona grafico) che espone quattro
sorgenti di classifiche:
- Del momento (iTunes): dropdown paese Italia/USA/UK/Mondo
- Spotify Charts: dropdown 6 playlist editoriali (Top 50 e Viral 50
  per Global/Italy/USA/UK)
- M2O Chart: chart dance italiana settimanale (nessun filtro)
- Storiche per genere (Last.fm): combinazione decade x genere

Tabella streaming stile catalog/dedup con # / artista / titolo /
album / popolarità, "Seleziona tutti" e footer sticky col contatore
selezionati + bottone "Aggiungi N alla coda Scarica".

Il bottone invoca api.charts_add_to_queue: il backend emette l'evento
charts:add_to_queue che la UI intercetta popolando state.loaded come
tracklist (kind: "tracks") - stesso pattern usato da "Carica lista" -
poi commuta view su Scarica, mostra il badge "· N tracce" e appende
al log Scarica. L'utente preme "Avvia Download" e la coda parte.

CSS charts-* riusa i pattern catalog-*/dedup-* (scroll 55vh, footer
sticky, badge status).
2026-08-28 13:41:13 +02:00
luciano 29c177ff69 bridge: metodi Api per tab Charts + bump v1.12.0
- api.charts_fetch(payload): dispatcher unico su iTunes/Last.fm/Spotify/
  M2O, persiste la sorgente/params scelti in config, ritorna
  {ok, source, entries}
- api.charts_add_to_queue(entries): normalizza le entry selezionate in
  tracklist "Artista - Titolo" ed emette l'evento `charts:add_to_queue`
  che la UI aggancia per popolare la tab Scarica
- config.DEFAULTS: aggiunte chiavi charts_last_source, charts_itunes_
  country, charts_lastfm_decade/genre, charts_spotify_playlist,
  lastfm_api_key
- VERSION -> v1.12.0
2026-08-28 13:38:25 +02:00
luciano 75e3da5f82 charts: modulo iTunes + Last.fm + Spotify + M2O con cache SQLite
Nuovo core/charts.py con quattro sorgenti classifiche:
- fetch_itunes(country): Top 100 iTunes RSS per paese (it/us/gb/ww)
- fetch_lastfm(decade, genre): top tracks Last.fm per tag combinato
  (es. "90s dance", "italo disco") - richiede API key (demo hardcoded,
  sovrascrivibile via config `lastfm_api_key`)
- fetch_spotify(playlist_key): brani da 6 playlist chart editoriali
  Spotify (Top 50 / Viral 50 per Global/Italy/USA/UK) via Client
  Credentials gia' configurate
- fetch_m2o(): scraping HTML della chart dance italiana settimanale

Tutte con cache SQLite (~/Library/Application Support/MusicTools/
charts_cache.db) TTL 6h, key per sorgente+params, invalidazione via
force=True.

26 test coprono parsing, cache hit/miss, TTL scaduta (freezegun),
gestione errori HTTP/JSON e assenza credenziali.
2026-08-28 13:37:26 +02:00
luciano 29b9753aa3 fix: mostra causa reale dietro "yt-dlp exit 1" (v1.11.3)
In download_playlist il codice legge stdout/stderr merged per parsare
il progress ma poi butta via tutte le righe. Se return_code != 0
l'utente vedeva solo "error: yt-dlp exit 1" senza sapere il perche'
(video bloccato? age-gate? 403? region-lock?).

Fix: buffer ring (10 righe non-progress) durante il download. Se
return_code != 0, estrae la riga con ERROR/error e la accoda al
messaggio -> "error: yt-dlp exit 1 — ERROR: [youtube] Video unavailable".
Massimo 220 char per non intasare il log.

Applicato solo al pattern download_playlist per ora (quello che usa il
utente sul batch Spotify). Direct URL e batch tags idem se emergono.
2026-08-28 10:08:52 +02:00
luciano c88e6d359c fix: switch build_* a yt-dlp nightly channel (v1.11.2)
Fix strutturale ricorrente errore "yt-dlp exit 1" nel download.
YouTube rompe API ogni 1-2 settimane; yt-dlp stable esce ogni ~4
settimane, quindi la build imbarcava binari gia' obsoleti al rilascio.

- build_macos.py + build_windows.py: URL switch da
  yt-dlp/yt-dlp/releases/latest → yt-dlp/yt-dlp-nightly-builds
- Sempre re-download (niente skip se bundle_bin/yt-dlp esiste) —
  garantisce binario 24-48h, non 3-4 settimane
2026-08-28 00:41:40 +02:00
luciano ed1059bf8c feat: sidebar scroll + log persistente (v1.11.1)
- Sidebar diventata troppo lunga (14+ tab): overflow-y auto sulla nav,
  brand e footer restano sticky. Scrollbar 6px tema-coerente
- Nuovo core/applog.py: TimedRotatingFileHandler daily con 7 giorni
  di retention. NON tocca sys.stdout/stderr (causa segfault WebKit
  su macOS); cattura tracebacks via sys.excepthook + threading.excepthook
- bridge._log mirror su logger persistente (ui.<view>) → tutto quello
  che vedi nei log delle tab e' anche su file
- Bridge: get_log_file_path() + open_log_folder() per la nuova sezione
  Impostazioni con path visibile e bottone "Apri cartella"
2026-08-27 11:27:57 +02:00
luciano cdbb1d85d5 feat: fallback Spotify + layout selector + tab Appiattisci (v1.11.0)
Cataloga:
- Fallback Spotify quando AcoustID non trova (copertura ottima per
  dance/electronic mashup/bootleg/remix)
- Dropdown "Struttura cartelle" per scegliere tra <Anno>/<Genere>/ e
  <Genere>/<Anno>/
- Chiave AcoustID default sostituita da placeholder invalido a quella
  pubblica di MusicBrainz Picard (valida)

Nuova tab Appiattisci:
- Sposta tutti i file audio delle sotto-cartelle nella cartella padre
- Utile come undo della catalogazione o merge di archivi frammentati
- Rimuove sotto-cartelle vuote dopo il move (opzionale)
- Suffisso _1, _2 su nomi duplicati (no overwrite)
2026-08-27 10:57:04 +02:00
luciano 401bed967a ui: tab Cataloga con streaming table + modal conferma move 2026-08-27 10:04:57 +02:00
luciano 9b711fd545 bridge: metodi Api per tab Cataloga + bump v1.11.0 2026-08-27 10:01:57 +02:00
luciano 9f9e4281b7 catalog: modulo AcoustID lookup + move to <year>/<genre>/ 2026-08-27 10:00:32 +02:00
luciano 39a117f08b feat: cookies-from-browser per bypass HTTP 403 YouTube (v1.10.1)
Alcuni video YouTube restituiscono 403 anche con yt-dlp aggiornato.
Fix: nuova opzione Impostazioni "Cookies da browser" con dropdown
(chrome/safari/firefox/edge/brave). Priorita': file cookies.txt
esistente -> --cookies-from-browser <name> -> nessuno.

Bonus:
- core/paths.py::_bundle_dirs() ora include <project>/bundle_bin/
  anche in dev, cosi' python main.py usa lo stesso yt-dlp del build
  invece di Homebrew (spesso obsoleto)
- Helper _cookie_args() in downloader.py per non ripetere la logica
  su tutti i punti dove serve --cookies
2026-08-19 15:30:46 +02:00
luciano e7d11d0235 feat: Dedup enhancements (streaming, retry, filename mode, scroll, auto-select)
Iterazioni sul feature Dedup (v1.10.0) da subito-post-scaffolding:
- compute_fingerprint espone il vero errore invece del generico None,
  worker propaga l'err_msg via progress_callback esteso
- Retry automatico: -length 30 su "invalid data / decoding frame",
  -length 60 + -algorithm 1 su "fingerprint vuoto"
- Nuovo metodo "filename" (Jaccard sui token nome file) con algoritmo
  incrementale O(N·K) — utile per file corrotti o per anteprima veloce
- Streaming groups: sia fingerprint che filename emettono `dedup:group`
  appena un gruppo raggiunge >=2 file; JS accumula in Map per update
  in-place. Progress bar avanza in tempo reale
- Fix shape bug che dava "NaN duplicati" nella summary line
- .dedup-groups-scroll: max-height 55vh + overflow-y auto per non
  perdere l'header/footer scrollando molti gruppi
- Bottone "Seleziona tutti i consigliati" nel footer: ripristina la
  selezione di default (tutti tranne il TIENI marcati per cancellazione)
- .gitignore: dedup_cache.db (SQLite locale per macchina utente)
2026-08-02 13:59:39 +02:00
luciano 00ff5a6220 ui: DedupUI + stili gruppi duplicati
- DedupUI: state locale + folder picker + start/stop scan +
  render gruppi (checkbox multi-select), file col bitrate max
  auto-preselezionato come "TIENI" (verde, checkbox disabled),
  audio preview riusa _makePreviewBtn dal picker Upgrade.
- Listener bridge dedup:progress / dedup:done, ripristino
  ultima cartella + recursive da config al mount.
- CSS: .dedup-group-card, .dedup-file-row, .dedup-keep (verde),
  .dedup-keep-badge, .dedup-footer-bar sticky.
2026-08-02 13:23:04 +02:00
luciano e90e38edc8 ui: markup tab Dedup 2026-08-02 13:22:52 +02:00
luciano f18dd375e8 bridge: metodi Api per tab Dedup + bump v1.10.0
- Api.dedup_pick_folder / dedup_start_scan / dedup_stop_scan
  / dedup_move_to_trash con worker thread + eventi
  dedup:progress e dedup:done.
- core.config: dedup_last_folder, dedup_recursive defaults;
  VERSION -> v1.10.0 (minor: nuova tab Dedup).
2026-08-02 13:22:40 +02:00
luciano fb13b0f70e dedup: modulo audio fingerprinting via fpcalc + cache SQLite
Nuovo modulo core.dedup per rilevare brani audio duplicati usando
Chromaprint (fpcalc): scan cartella (opzionalmente ricorsivo),
fingerprint acustico via fpcalc -json, cache SQLite in
_get_config_dir()/dedup_cache.db per non ricalcolare al re-scan,
raggruppamento per fingerprint identico + ordering per bitrate DESC.
move_to_trash() usa send2trash (reversibile via Finder/Explorer).

- core/paths.py: find_fpcalc() con fallback dev su project bundle_bin
- core/dedup.py: scan_folder, compute_fingerprint, move_to_trash
- tests/test_dedup.py: 9 unit test (mock fpcalc + send2trash)
- requirements.txt: send2trash>=1.8.0
- build_macos.py: download fpcalc universal binary da GitHub releases
- build_windows.py: download fpcalc.exe da GitHub releases
2026-08-02 13:22:24 +02:00
luciano e09ee1382b fix: typo _find_ffmpeg_dir in update_cover_only (bump v1.9.5)
Il typo (underscore prefix) causava NameError nel thread upgrade
quando un file era già HQ (soglia superata) e serviva solo aggiornare
la copertina. Il thread moriva silenziosamente e l'utente vedeva
l'app 'bloccata' senza feedback.
2026-08-02 13:02:26 +02:00
luciano e7fde842f2 feat: upgrade archivio con auto-pick, audio preview, cancel-all (v1.9.4)
Tab Upgrade:
- Checkbox "Scelta automatica" per skippare il modal quando ci sono
  multi-match (usa bitrate DESC)
- Anteprima audio nel picker: play button sul source + ogni candidato
  via bridge read_audio_data_url (WKWebView blocca file://)
- Bottone "Annulla tutto" nel picker → interrompe l'intera coda
- Fix mtime: shutil.copy (non copy2) così il file upgradato ha
  data odierna nel Finder
- Fix stop audio → non triggera più toast di errore
- Modal picker più largo (620-780px) con footer wrap

Extra: campo release_date estratto anche in Beatport (publish_date)
e YouTube (upload_date) — completato scaffold sort colonna Data
2026-08-02 12:56:19 +02:00
luciano e10466d93b ui: UpgradeUI archive_dir + candidates picker + bump v1.9.3
Frontend Upgrade:
- state.upArchiveDir + handler Sfoglia/Rimuovi per la seconda path-display
- start_upgrade payload include archive_dir
- bridge handler 'upgrade:candidates_needed' apre openUpgradePicker() con
  lista candidati (basename + bitrate + size + similarity + path)
- 3 azioni utente: Usa selezionato / Cerca YouTube / Salta; ESC e click
  su backdrop = Salta. Chiusura implicita quando upgrade:done.
- CSS minimale (.upgrade-picker-*) accodato dopo le sezioni esistenti.

Version bump v1.9.2 -> v1.9.3.
2026-08-02 11:59:59 +02:00
luciano f0a29f7ca7 ui: campo Cartella archivio + modal picker per Upgrade
Nella tab Upgrade aggiunta seconda coppia path-display + Sfoglia/Rimuovi
per la cartella archivio opzionale (con hint esplicativo).

In fondo al body: nuovo modal upgradePickerModal con lista candidati e
3 bottoni (Usa selezionato / Cerca YouTube / Salta). Riusa le classi
esistenti .modal-backdrop / .modal / .modal-head / .modal-body / .modal-foot.
2026-08-02 11:56:48 +02:00
luciano 4e1af7b8f6 bridge: upgrade_resolve_candidates + evento upgrade:candidates_needed
start_upgrade accetta 'archive_dir' nel payload e lo inoltra a
upgrade_folder. Il worker passa un resolve_callback che emette
'upgrade:candidates_needed' e blocca su una queue.Queue(1) attendendo
la scelta utente dal modal (timeout 10 min → skip).

Il metodo upgrade_resolve_candidates(choice) è chiamato dalla UI e
deposita la scelta nella queue. stop_upgrade sblocca eventuale attesa
inviando un 'skip' automatico. Log dedicati per gli status nuovi
(local_copy, local_upgraded, skipped_by_user, resolve_wait, scan_archive).
2026-08-02 11:56:10 +02:00
luciano d8723f9408 upgrader: _scan_archive + _find_candidates + resolve_callback per match locale
Nuovo flusso: se archive_dir è passato, upgrade_folder cerca versioni HQ
del brano nell'archivio locale prima di scaricare da YouTube. Match via
Jaccard sui token del filename (soglia default 0.5). Se 1 candidato:
copia/converte diretto in mp3 320k. Se >=2 e resolve_callback presente:
chiama la callback bloccante (per la UI) con lista candidati + bitrate
+ similarity, poi rispetta la scelta (use_local / use_youtube / skip).
Fallback su YouTube se nessun match o archive_dir=None.

Test unitari sui 3 helper (_normalize_stem, _scan_archive, _find_candidates).
2026-08-02 11:54:58 +02:00
luciano eb20a034e6 fix: stop button e hang su ffmpeg orfano in Upgrade (bump v1.9.2)
Il worker Python era bloccato in `for line in proc.stdout` che non
ritornava mai quando il subprocess yt-dlp veniva killed ma lasciava
figli ffmpeg orfani con pipe stdout ancora aperto. Effetti:
1) Il bottone Stop non fermava l'upgrade
2) Anche il watchdog kill non liberava il thread

Fix:
- Lettura stdout in thread separato + queue.Queue
- Main loop polla ogni 500ms con timeout: controlla is_stopped() e
  proc.poll() -> Stop risponde entro 1s
- Watchdog usa kill() (SIGKILL) invece di terminate() (SIGTERM) per
  garantire cleanup child orfani
2026-08-02 11:37:40 +02:00
luciano cdd380d62f fix: watchdog su download upgrader (bump v1.9.1)
Prima: se yt-dlp si bloccava nel download di un video (geo-restricted,
YouTube throttle, rete lenta), il for loop su stdout attendeva
indefinitamente e la tab Upgrade si fermava dopo 2-3 brani.

Ora: threading.Timer da 5 min uccide il subprocess se in scaduta.
Al kill il for esce -> codice trova temp_dir vuota -> marca il brano
"download_error" e prosegue col successivo.
2026-08-02 10:55:47 +02:00
luciano 2689f686ec Merge feat/traxsource-charts: MusicTools v1.9.0
Nuova tab Traxsource per caricare la Top 100 mensile per genere.
23 generi, bypass Cloudflare via curl_cffi session, HTML scraping con
BeautifulSoup, cache 15min. Riusa pipeline download + tag ID3.

29 nuovi test unitari, 90/90 test verdi totali.
2026-08-01 12:15:36 +02:00
luciano f8e2ee66bd ui: TraxsourceUI (init, loadChart, render, download) 2026-08-01 12:10:28 +02:00
luciano a07f6c34ca ui: markup tab Traxsource 2026-08-01 12:08:56 +02:00
luciano 6c473eaec9 bridge: 4 metodi Api Traxsource (parallelo Beatport, metadata album=label) 2026-08-01 12:07:56 +02:00
luciano 16c8b8ee67 config: v1.9.0 + traxsource_last_genre nei DEFAULTS 2026-08-01 12:05:11 +02:00
luciano 88e59ad37f traxsource: fetch_top100 con session curl_cffi + retry + cache 15min 2026-08-01 12:01:00 +02:00
luciano 784b56682f traxsource: _discover_top100_url + _parse_tracks con BeautifulSoup 2026-08-01 11:59:55 +02:00
luciano e1e629f8a2 traxsource: helper _split_title_mix + _format_artists + _large_cover + eccezioni 2026-08-01 11:57:42 +02:00
luciano a95912f78c traxsource: GENRES + TraxsourceTrack + list_genres 2026-08-01 11:55:30 +02:00
luciano 7feda99720 traxsource: fixture HTML + bs4 dep + script refresh generi 2026-08-01 11:54:55 +02:00
luciano 191c245fc1 plan: implementation Traxsource charts v1.9.0 2026-08-01 11:50:44 +02:00
luciano 98235625ba spec: feature Traxsource charts (v1.9.0 target) 2026-08-01 11:47:32 +02:00
luciano 72e700c85d config: bump VERSION v1.8.6 2026-07-21 17:51:22 +02:00
luciano a774906814 ui: ConvertUI (file picker, opzioni, batch conversione) 2026-07-21 17:48:31 +02:00
luciano 9f41f9d302 ui: markup tab Converti 2026-07-21 17:47:16 +02:00
luciano b0cd046375 bridge: 4 metodi Api per convertitore WAV -> MP3 2026-07-21 17:44:59 +02:00
luciano 5fc9f8ac2b converter: modulo ffmpeg WAV -> MP3 con VBR/CBR + stop 2026-07-21 17:44:36 +02:00
luciano c4e6d6e322 fix: bundle certifi CA per SSL su Windows/macOS + bump v1.8.5
- requirements.txt: certifi come dep esplicita
- main.py: setta SSL_CERT_FILE/REQUESTS_CA_BUNDLE su certifi.where() al boot
- build_windows.py + build_macos.py: --collect-data certifi nel PyInstaller

Bugfix: senza certifi bundlato, le chiamate HTTPS dal build Windows
falliscono con CERTIFICATE_VERIFY_FAILED (attivazione licenza impossibile).
2026-07-17 16:26:16 +02:00
luciano c7dfe95890 config: bump VERSION v1.8.4 2026-07-15 13:04:06 +02:00
luciano 25b646d754 bridge: metadata pipeline per tag ID3 su download search 2026-07-15 13:00:19 +02:00
luciano 73b4480890 downloader: param output_filenames + post_download_callback 2026-07-15 12:56:56 +02:00
luciano d53b8f20ed spotify: get_artist_genres + enrich_from_youtube_title + cover_url_large 2026-07-15 12:54:59 +02:00
luciano 0f7cd24703 tagger: modulo mutagen per ID3 tag + cover art da URL 2026-07-15 12:54:26 +02:00
luciano f1437e8e24 config: bump VERSION v1.8.3 2026-07-15 11:46:50 +02:00
luciano acbd9c0b1f ui: hero sticky in cima al pannello scrollabile di ogni tab 2026-07-15 11:45:43 +02:00
luciano f226c3fa8e ui: cover art in Beatport, Spotify e YouTube search
- core/beatport.py: BeatportTrack.image_url estratto da image.dynamic_uri (95x95)
- core/spotify_client.py: _track_to_dict include image_url (Spotify torna 3 taglie,
  prendo la ~64px). search_artist_discography inietta album.images anche negli
  album-tracks per la cover
- core/youtube_search.py: image_url = i.ytimg.com/vi/<id>/mqdefault.jpg
- webui/index.html: nuova <th class="col-cover"></th> nelle 3 tabelle
- webui/js/app.js: 3 renderTable inseriscono <td class="col-cover"><img>
  con loading=lazy, referrerpolicy=no-referrer e onerror fallback
- webui/css/style.css: .beatport-table .col-cover img { 40x40, border-radius 4px,
  object-fit: cover, bg fallback var(--bg-input) }
2026-07-15 11:45:28 +02:00
luciano 85f7ec0993 config: bump VERSION v1.8.2 2026-07-14 22:15:02 +02:00
luciano 9dbdd74b2f ui: fix light mode — colori brand come testo + hover/focus adattivi
- Introdotte varianti --*-text (green/blue/purple/pink/amber/indigo/rec-red)
  scure in light mode per contrasto AA su bg bianco
- Convertite le rule che usano brand colors come foreground (log, badge,
  quota, footer, percent, info-row, update-status, save-status, toast,
  beatport-status, colonna "già scaricato")
- Nav-item hover da #1A1A1A hardcoded → var(--bg-card-2)
- Input focus da #333 hardcoded → var(--bg-input-hover)
- Scrollbar thumb da #404040/#606060 hardcoded → var(--text-3)/var(--text-2)
- .hint code bg da rgba(255,255,255,0.08) → var(--bg-input)
- Table hover da rgba(99,102,241,0.06) → var(--bg-input) (visibile in light)
- .log .l-warn da #FDCB6E hardcoded → var(--amber-text)
2026-07-14 22:12:50 +02:00
luciano 8c73651312 Merge feat/music-search: MusicTools v1.8.1
Nuove tab Spotify e YouTube per cercare brani per titolo/artista.
Spotify con toggle "Solo artista" per scaricare tutta la discografia.
YouTube per mix DJ, unreleased, bootleg via yt-dlp ytsearch.

40 test verdi. Testato end-to-end in dev su macOS.
2026-07-14 17:34:22 +02:00
luciano 1fa49fabc4 ui: SpotifyUI + YoutubeUI (search, table, download, log) 2026-07-14 17:31:48 +02:00
luciano 83c47df29c ui: markup tab Spotify + YouTube search 2026-07-14 17:31:41 +02:00
luciano 9ea14eb81c bridge: 6 metodi Api per music search (Spotify + YouTube) 2026-07-14 17:25:58 +02:00
luciano 91cfc173d4 config: v1.8.1 + 3 campi DEFAULTS per music search 2026-07-14 17:23:49 +02:00
luciano 67e48e54f7 downloader+bridge: supporto download da URL diretti (YouTube search flow)
Aggiunge download_urls() in core/downloader.py che scarica direttamente da
URL YouTube gia noti (bypassa lo step di ricerca). Usa gli stessi flag di
download_playlist (mp3, embed thumbnail/metadata, output template, cookies,
ffmpeg location) e il parsing progress via stdout.

In api/bridge.py aggiunge start_urls_download() e _urls_worker() speculari a
start_tracks_download/_tracks_worker. Consumati dal tab "YouTube Search"
dopo che l'utente ha selezionato i risultati.
2026-07-14 17:22:46 +02:00
luciano 0949df031a youtube: search_youtube via yt-dlp ytsearchN + parse JSON 2026-07-14 17:18:54 +02:00
luciano 2771fa8075 spotify: search_artist_discography con dedupe top-tracks+album 2026-07-14 17:16:19 +02:00
luciano 252d76b907 spotify: search_tracks() free-form con limit configurabile 2026-07-14 17:14:02 +02:00
luciano 58d4896ffe plan: implementation Music Search (Spotify + YouTube) v1.8.1 2026-07-14 17:11:13 +02:00
luciano 91aa1bd6a3 spec: feature Music Search (Spotify + YouTube tabs) v1.8.1 2026-07-14 17:05:56 +02:00
luciano 48a6e15c7a Merge feat/beatport-charts: MusicTools v1.8.0
Nuova tab Beatport per scaricare le Top 100 per genere direttamente
dal sito Beatport (bypass Cloudflare via curl_cffi + TLS impersonation).
Riusa il downloader esistente YouTube via yt-dlp.

25 unit test verdi. Testato end-to-end in dev su macOS.
2026-07-14 16:48:36 +02:00
luciano f850e86a88 docs: implementation plan Beatport charts 2026-07-14 16:42:27 +02:00
luciano 6bff24ff7d beatport: fix check_existing/download path mismatch
start_tracks_download sanitizza gli slash del subfolder (/ -> _), quindi
i file finivano in Beatport_<genre>/ ma check_existing cercava in
Beatport/<genre>/. Estratto helper _beatport_output_dir per allinearli.
2026-07-14 16:41:38 +02:00
luciano faf74dfb11 ui: stili tab Beatport 2026-07-14 16:39:36 +02:00
luciano d2f3ebe361 ui: JS BeatportUI (init, loadChart, download, log) 2026-07-14 16:39:04 +02:00
luciano 33c6bc7703 ui: markup tab Beatport 2026-07-14 16:37:44 +02:00
luciano be4f7e1024 bridge: 4 metodi Api per feature Beatport (fetch + download riusa start_tracks_download) 2026-07-14 16:30:49 +02:00
luciano 1c52d52986 config: v1.8.0 + beatport_last_genre nei DEFAULTS 2026-07-14 16:27:22 +02:00
luciano cc5716e87d spotify: aggiunto search_track() per feature Beatport 2026-07-14 16:26:25 +02:00
luciano 3f31e240be beatport: fetch_top100 con curl_cffi + retry + cache 15min 2026-07-14 16:24:43 +02:00
luciano 13c8e60712 beatport: parse JSON → list[BeatportTrack] 2026-07-14 16:22:21 +02:00
luciano f1e57905c1 beatport: estrazione __NEXT_DATA__ + eccezioni tipizzate 2026-07-14 16:20:21 +02:00
luciano 4221a5992b beatport: BeatportTrack dataclass con display + spotify_query 2026-07-14 16:18:38 +02:00
luciano 70cdfe8983 beatport: GENRES + list_genres() con test 2026-07-14 16:17:09 +02:00
luciano e1aaa83fe9 beatport: fixture HTML + curl_cffi + script refresh generi 2026-07-14 16:14:55 +02:00
luciano c037da4901 test: setup pytest infra per feature Beatport 2026-07-14 16:03:33 +02:00
luciano 21ef3a5699 spec: feature Beatport charts (v1.8.0 target)
Design approvato via brainstorming: nuova tab per caricare le Top 100
Beatport per genere e scaricare i brani selezionati riusando il flusso
Spotify search -> yt-dlp. Approccio dati: parse __NEXT_DATA__ JSON dalle
pagine Beatport, no scraping fragile, no API interna.
2026-07-14 15:50:48 +02:00
luciano e4bfd76a79 server: script gen-license per generare licenze manuali da locale
- server/scripts/gen-license.mjs: usa generateLicenseKey e getPlan ufficiali,
  INSERT nel DB con source='manual', ritorna JSON con la chiave
- server/scripts/gen-license.sh: wrapper locale che rsync-a lo script sul
  server e lo esegue via ssh (annual di default, oppure basic/pro/premium)

Sostituisce il flusso ad-hoc di scp'are /tmp/genlic_*.mjs a ogni generazione.
2026-07-13 10:33:25 +02:00
luzadev e2ac1ca275 Landing: rimossi piani e bottoni di acquisto, app non ancora in vendita
- Sezione PRICING: tolte le 4 card (Basic/Pro/Premium/Annual) con
  rispettivi bottoni Lemon Squeezy. Sostituita con un riquadro
  "In arrivo / scrivici a info@djluza.com".
- Nav, hero CTA, CTA finale: nessun "Vedi i piani" / "Compra ora" /
  "Acquista ora". Sostituiti con CTA informative (Funzioni, Contatti).
- Meta description, og:description, hero eyebrow: rimossi i prezzi.
- FAQ: rimosse le voci che dettagliavano piani, limiti giornalieri,
  upgrade, scadenza Annual, metodi di pagamento Lemon Squeezy.
- Step 1 di "Come funziona": "Compra" -> "Ottieni" con disclaimer.
- Rimosso lo script lemon.js dal head (nessun bottone lo usa piu').

Link "Hai gia' una licenza? Scarica l'app" e pagina /download
restano attivi per i clienti gia' attivati. Backend immutato.
2026-06-15 10:33:35 +02:00
luzadev dc6ae1fbe1 v1.7.15: patch_info_plist con plistlib (PlistBuddy falliva su apostrofi)
Crash report v1.7.14 ha rivelato che NSMicrophoneUsageDescription
NON era stato scritto nell'Info.plist distribuito. Causa: il valore
contiene l'apostrofo "l'audio" che rompe PlistBuddy con quote
shell. PlistBuddy falliva ma restituiva exit code != 0 con un
messaggio diverso da "already exists", quindi anche il fallback
Set non veniva chiamato -> chiave mai aggiunta.

Riscritto patch_info_plist con plistlib di Python: nessun shell
escaping, robusto a qualsiasi carattere. Aggiunto check di verifica
finale che logga errore critico se la chiave manca dopo write.
2026-06-09 23:17:08 +02:00
luzadev 0e14d161d0 v1.7.14: fix definitivo registrazione macOS — AVCaptureSession in-process
Dopo che codesign --info-plist e wrap in sub-bundle .app si sono
rivelati strade morte (macOS 14+ TCC e' troppo severo per ad-hoc
signed binaries), riscritta la registrazione macOS per usare
PyObjC + AVCaptureSession nel processo Python principale.

Il main MusicTools ha il TCC del bundle (NSMicrophoneUsageDescription
nell'Info.plist), e usando AVFoundation IN-PROCESS il permesso
viene applicato correttamente. ffmpeg subprocess viene usato SOLO
per la conversione CAF -> MP3 dopo lo stop (operazione su file,
niente accesso microfono = niente TCC).

Aggiunto pyobjc-framework-AVFoundation a requirements.
core/paths.py: ripristinato lookup semplice in Contents/Frameworks/
(non serve piu' cercare in sub-bundle).
build_macos.py: wrap_subprocess_in_bundle disabilitato.

Diagnosi crash report v1.7.13 + investigazione TCC behavior
confermano: PyObjC AVCaptureSession in-process e' l'unica
soluzione affidabile senza Developer ID Apple.

Vedi: https://www.qt.io/blog/the-curious-case-of-the-responsible-process
2026-06-09 23:04:16 +02:00
luzadev 7dd793253b v1.7.13: fix definitivo TCC subprocess - sub-bundle .app per ffmpeg/ffprobe
Crash report ha dato la spiegazione precisa:
"Namespace TCC, Code 0 - This app has crashed because it attempted
to access privacy-sensitive data without a usage description.
The app's Info.plist must contain an NSMicrophoneUsageDescription key."

macOS 14+ richiede che ogni binario che apre device privacy-sensitive
abbia il suo PROPRIO Info.plist con NSMicrophoneUsageDescription, NON
basta che il main MusicTools lo abbia. Per binari standalone come
ffmpeg, non c'e' Info.plist associato -> SIGABRT immediato.

Fix: incapsulare ffmpeg e ffprobe in mini-bundle .app dentro
MusicTools.app/Contents/Frameworks/ffmpeg.app/Contents/MacOS/ffmpeg
con il proprio Info.plist contenente NSMicrophoneUsageDescription.
Aggiunto rpath @executable_path/../../../ per puntare alle dylib
di Contents/Frameworks/. Codesign di ogni sub-bundle con identifier
com.djluza.musictools.{ffmpeg,ffprobe}.

core/paths.py aggiornato per cercare i binari anche dentro i
sub-bundle .app oltre che in Contents/Frameworks/ legacy.

L'utente al primo lancio della registrazione vedra' un prompt
microfono per "ffmpeg" (in aggiunta a quello del main MusicTools).
2026-06-09 22:44:58 +02:00
luzadev 5771d631fd v1.7.12: codesign identifier coerente per TCC subprocess + skip quota su Annual
Bug: codesign --deep ad-hoc dava a ffmpeg un identifier auto-generato
(ffmpeg-<hash>) diverso da com.djluza.musictools del bundle, quindi
macOS trattava ffmpeg come app distinta per TCC -> permesso microfono
del main NON ereditato dal subprocess -> registrazione muta o errore.

Fix: in adhoc_codesign() ora firmiamo OGNI Mach-O nested con
--identifier com.djluza.musictools (stesso del bundle), poi firmiamo
il bundle .app. Cosi' TCC vede un unico "team" coerente e il
permesso microfono si propaga a ffmpeg/ffprobe/yt-dlp. Verificato
in dev mode: registrazione BlackHole funziona quando ffmpeg eredita
correttamente il TCC.

Anche fix collaterale: bridge._gate() salta la chiamata consume_quota
al server quando il piano corrente ha daily_limit=None (Annual). Per
i piani unlimited non c'e' motivo di chiamare il server -> niente
piu' errori online se il server e' temporaneamente irraggiungibile
durante una registrazione su un piano Annual.
2026-06-09 22:14:53 +02:00
54 changed files with 28144 additions and 525 deletions

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+9
View File
@@ -49,3 +49,12 @@ server/node_modules/
server/.wrangler/
server/.dev.vars
server/dist/
# Dedup local cache (SQLite fingerprint cache, per macchina dell'utente)
dedup_cache.db
dedup_cache.db-journal
catalog_cache.db
catalog_cache.db-journal
# Log persistente (rotating file)
logs/
+1494 -8
View File
File diff suppressed because it is too large. Load diff
+258 -63
View File
@@ -39,21 +39,23 @@ def log(msg):
# 1. Scarica yt-dlp standalone
# =========================================================================
def download_ytdlp():
"""Scarica il binario standalone di yt-dlp per macOS."""
"""Scarica il binario standalone di yt-dlp per macOS.
Usa il NIGHTLY channel invece dello stable perche' YouTube rompe le
API ogni 1-2 settimane e la stable resta indietro di 3-4 settimane
tipicamente. La nightly esce quasi ogni giorno con i fix.
Sempre re-download: garantisce che ogni build imbarca yt-dlp fresco.
"""
arch = platform.machine() # arm64 o x86_64
if arch == "arm64":
url = "https://github.com/yt-dlp/yt-dlp/releases/latest/download/yt-dlp_macos"
url = "https://github.com/yt-dlp/yt-dlp-nightly-builds/releases/latest/download/yt-dlp_macos"
else:
url = "https://github.com/yt-dlp/yt-dlp/releases/latest/download/yt-dlp_macos_legacy"
url = "https://github.com/yt-dlp/yt-dlp-nightly-builds/releases/latest/download/yt-dlp_macos_legacy"
dest = BUNDLE_DIR / "yt-dlp"
if dest.exists():
log(f"yt-dlp gia presente: {dest}")
return dest
log(f"Scarico yt-dlp da {url} ...")
BUNDLE_DIR.mkdir(parents=True, exist_ok=True)
log(f"Scarico yt-dlp nightly da {url} ...")
# Usa curl perche urllib di Python 3.8 ha problemi SSL su macOS
subprocess.run(
["curl", "-L", "-o", str(dest), url],
@@ -64,6 +66,48 @@ def download_ytdlp():
return dest
# =========================================================================
# 1b. Scarica fpcalc (Chromaprint) — usato dal tab Dedup
# =========================================================================
def download_fpcalc():
"""Scarica il binario universal Chromaprint fpcalc per macOS."""
dest = BUNDLE_DIR / "fpcalc"
if dest.exists():
log(f"fpcalc gia presente: {dest}")
return dest
url = ("https://github.com/acoustid/chromaprint/releases/download/"
"v1.5.1/chromaprint-fpcalc-1.5.1-macos-universal.tar.gz")
log(f"Scarico fpcalc da {url} ...")
BUNDLE_DIR.mkdir(parents=True, exist_ok=True)
tmp_tar = BUNDLE_DIR / "_fpcalc.tar.gz"
subprocess.run(["curl", "-L", "-o", str(tmp_tar), url], check=True)
# Estrae ovunque nella cartella, poi trova fpcalc e lo sposta al posto
tmp_extract = BUNDLE_DIR / "_fpcalc_extract"
if tmp_extract.exists():
shutil.rmtree(tmp_extract)
tmp_extract.mkdir()
subprocess.run(["tar", "-xzf", str(tmp_tar), "-C", str(tmp_extract)],
check=True)
# Trova fpcalc nel folder estratto
found = None
for p in tmp_extract.rglob("fpcalc"):
if p.is_file():
found = p
break
if not found:
shutil.rmtree(tmp_extract, ignore_errors=True)
tmp_tar.unlink(missing_ok=True)
raise RuntimeError("fpcalc non trovato nell'archivio")
shutil.copy2(found, dest)
dest.chmod(dest.stat().st_mode | stat.S_IEXEC)
shutil.rmtree(tmp_extract, ignore_errors=True)
tmp_tar.unlink(missing_ok=True)
log(f"fpcalc scaricato: {dest}")
return dest
# =========================================================================
# 2. Raccogli ffmpeg/ffprobe + dylib
# =========================================================================
@@ -226,6 +270,8 @@ def run_pyinstaller():
"--hidden-import", "webview.platforms.cocoa",
"--hidden-import", "requests",
"--collect-all", "mutagen",
# certifi ha cacert.pem necessario per SSL/HTTPS
"--collect-data", "certifi",
# Binari bundled (yt-dlp, ffmpeg, ffprobe + dylibs)
*add_binaries,
# Entry point
@@ -239,6 +285,12 @@ def run_pyinstaller():
if app_path.exists():
log(f"Build completata: {app_path}")
patch_info_plist(app_path)
# NOTA: dal v1.7.14 il microfono viene letto direttamente da
# PyObjC/AVCaptureSession nel processo Python (che ha il TCC del
# bundle), non da ffmpeg subprocess. ffmpeg fa solo la conversione
# CAF -> MP3 (no microfono = no TCC). Per questo non serve piu'
# incapsularlo in un sub-bundle .app con NSMicrophoneUsageDescription.
# wrap_subprocess_in_bundle(app_path)
adhoc_codesign(app_path)
# Mostra dimensione
size = sum(f.stat().st_size for f in app_path.rglob("*") if f.is_file())
@@ -252,81 +304,223 @@ def run_pyinstaller():
def patch_info_plist(app_path):
"""Aggiunge le chiavi TCC (Transparency, Consent and Control) richieste
da macOS nel bundle .app, altrimenti macOS nega silenziosamente l'accesso
al microfono e l'app NON compare in Impostazioni > Privacy e sicurezza.
"""Aggiunge le chiavi TCC nell'Info.plist del bundle .app.
Senza NSMicrophoneUsageDescription, qualsiasi tentativo di ffmpeg di
aprire un dispositivo audio (incluso BlackHole) viene rifiutato dal
sistema e non viene mostrato nessun prompt all'utente.
NSMicrophoneUsageDescription e' obbligatoria: senza, macOS uccide
l'app con SIGABRT quando AVFoundation tenta di aprire il microfono.
Usiamo plistlib invece di PlistBuddy perche' i valori con apostrofi
(es. "l'audio") rompono il parser shell-based di PlistBuddy.
"""
import plistlib
info_plist = app_path / "Contents" / "Info.plist"
if not info_plist.exists():
log("ATTENZIONE: Info.plist non trovato, skip patch TCC")
return
pb = "/usr/libexec/PlistBuddy"
# Helper: aggiungi una chiave; se gia presente sovrascrivila.
def add_or_set(key, value, ptype="string"):
# Tenta Add; se esiste, fa Set.
r = subprocess.run(
[pb, "-c", f'Add :{key} {ptype} "{value}"', str(info_plist)],
capture_output=True, text=True,
)
if r.returncode != 0 and "already exists" in (r.stderr + r.stdout).lower():
subprocess.run(
[pb, "-c", f'Set :{key} "{value}"', str(info_plist)],
check=True,
)
log("Patching Info.plist con le chiavi TCC...")
add_or_set(
"NSMicrophoneUsageDescription",
with open(info_plist, "rb") as f:
data = plistlib.load(f)
data["NSMicrophoneUsageDescription"] = (
"MusicTools usa il microfono per registrare l'audio del sistema "
"(ad esempio tramite BlackHole o un altro dispositivo loopback).",
"(ad esempio tramite BlackHole o un altro dispositivo loopback)."
)
# Sicurezza extra: dichiarare bundle identifier stabile aiuta il
# database TCC a riconoscere coerentemente l'app tra le sessioni.
add_or_set("CFBundleIdentifier", "com.djluza.musictools")
add_or_set("LSApplicationCategoryType", "public.app-category.music")
log("Info.plist aggiornato.")
# Bundle identifier stabile aiuta TCC a riconoscere l'app tra le sessioni
data["CFBundleIdentifier"] = "com.djluza.musictools"
data["LSApplicationCategoryType"] = "public.app-category.music"
with open(info_plist, "wb") as f:
plistlib.dump(data, f)
log(f"Info.plist aggiornato. Chiavi: {sorted(data.keys())[-5:]}")
# Verifica
with open(info_plist, "rb") as f:
verify = plistlib.load(f)
if "NSMicrophoneUsageDescription" not in verify:
log("ERRORE CRITICO: NSMicrophoneUsageDescription NON e' stata scritta!")
else:
log("Verifica OK: NSMicrophoneUsageDescription presente.")
_BUNDLE_ID = "com.djluza.musictools"
def _subprocess_info_plist(executable, bundle_id):
"""Info.plist per un mini-bundle che incapsula un binario subprocess.
NSMicrophoneUsageDescription qui dentro e' la chiave: senza di essa,
macOS uccide il subprocess con SIGABRT appena tenta di aprire un
device audio, anche se il main MusicTools ha il proprio TCC concesso.
"""
return (
'<?xml version="1.0" encoding="UTF-8"?>\n'
'<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" '
'"http://www.apple.com/DTDs/PropertyList-1.0.dtd">\n'
'<plist version="1.0">\n'
'<dict>\n'
f' <key>CFBundleExecutable</key><string>{executable}</string>\n'
f' <key>CFBundleIdentifier</key><string>{bundle_id}</string>\n'
f' <key>CFBundleName</key><string>{executable}</string>\n'
' <key>CFBundlePackageType</key><string>APPL</string>\n'
' <key>CFBundleShortVersionString</key><string>1.0</string>\n'
' <key>CFBundleVersion</key><string>1</string>\n'
' <key>LSBackgroundOnly</key><true/>\n'
' <key>LSUIElement</key><true/>\n'
' <key>NSMicrophoneUsageDescription</key>\n'
' <string>MusicTools usa il microfono per registrare l\'audio del '
'sistema (BlackHole o altri dispositivi loopback).</string>\n'
'</dict>\n'
'</plist>\n'
)
def wrap_subprocess_in_bundle(app_path):
"""Sposta ffmpeg e ffprobe in mini-bundle .app dentro Frameworks/.
macOS 14+ ENFORCE il fatto che ogni binario che apre device
privacy-sensitive (microfono, camera, ...) debba avere un proprio
Info.plist accessibile con NSMicrophoneUsageDescription. Quando
ffmpeg viene lanciato come binario standalone (anche se figlio di
MusicTools), non c'e' Info.plist associato -> SIGABRT.
Soluzione: incapsulare ffmpeg in MusicTools.app/Contents/Frameworks/
ffmpeg.app/Contents/MacOS/ffmpeg, con Info.plist nel suo bundle.
Stesso per ffprobe.
"""
log("Wrapping ffmpeg e ffprobe in sub-bundle .app...")
fw = app_path / "Contents" / "Frameworks"
if not fw.exists():
log("ATTENZIONE: Contents/Frameworks non trovato, skip wrapping.")
return
for name in ("ffmpeg", "ffprobe"):
src = fw / name
if not src.exists() or not src.is_file():
log(f" skip {name}: non trovato in Frameworks/")
continue
wrap = fw / f"{name}.app"
if wrap.exists():
shutil.rmtree(wrap)
macos = wrap / "Contents" / "MacOS"
macos.mkdir(parents=True, exist_ok=True)
dest = macos / name
shutil.move(str(src), str(dest))
dest.chmod(0o755)
# Aggiungi un nuovo rpath che punta a Contents/Frameworks/ (dove
# stanno le dylib del bundle MusicTools).
# @executable_path = ffmpeg.app/Contents/MacOS/
# ../../../ = MusicTools.app/Contents/Frameworks/
subprocess.run(
["install_name_tool", "-add_rpath",
"@executable_path/../../../", str(dest)],
capture_output=True,
)
# Crea Info.plist con NSMicrophoneUsageDescription.
info = wrap / "Contents" / "Info.plist"
bundle_id = f"com.djluza.musictools.{name}"
info.write_text(_subprocess_info_plist(name, bundle_id))
log(f" wrap: {name} -> {dest.relative_to(app_path)}")
def adhoc_codesign(app_path):
"""Ad-hoc codesign dell'intero bundle .app.
"""Ad-hoc codesign dell'intero bundle .app con identifier coerente.
Senza una firma coerente, macOS tratta ffmpeg (subprocess bundled)
come binario separato dal main MusicTools per TCC: ffmpeg apre il
dispositivo audio senza errore ma riceve solo silenzio perche' il
sistema non gli concede il permesso microfono ereditato.
macOS tratta ogni binario Mach-O firmato come una "app" distinta per
le decisioni TCC (microfono, camera, ecc.). Con `codesign --deep`
standard, i nested binary (ffmpeg, ffprobe, yt-dlp) ricevono ognuno
un identifier auto-generato del tipo `<nome>-<hash>`, diverso da
quello del bundle principale -> TCC NEGA al subprocess.
`codesign --force --deep --sign -` applica una firma ad-hoc (gratis,
senza Developer ID) a tutti i binari nested. Per macOS questo rende
l'app un singolo "team" coerente, e il permesso TCC concesso al
main si propaga anche a ffmpeg/ffprobe/yt-dlp.
Soluzione: firmiamo PRIMA ogni binario interno con `--identifier
com.djluza.musictools`, poi il bundle .app intero. Cosi' TCC vede
tutti i Mach-O come parte dello stesso "team" e propaga il permesso
del main ai subprocess.
"""
log("Ad-hoc codesign del bundle (per TCC microfono ereditato)...")
log("Ad-hoc codesign del bundle (identifier coerente per TCC)...")
try:
# Rimuovi vecchie firme che potrebbero confondere codesign --deep
subprocess.run(
["xattr", "-cr", str(app_path)],
capture_output=True,
)
subprocess.run(
["codesign", "--remove-signature", "--deep", str(app_path)],
capture_output=True,
)
result = subprocess.run(
["codesign", "--force", "--deep", "--sign", "-",
"--timestamp=none", str(app_path)],
# 1) Pulisci attributi estesi (rimuove quarantine residui dal build)
subprocess.run(["xattr", "-cr", str(app_path)], capture_output=True)
# 2) Trova tutti i Mach-O nested (binari ed eventuali .dylib).
# Li firmiamo uno a uno con identifier coerente, dal piu' profondo
# al piu' esterno (richiesta da codesign).
nested_machos = []
for p in sorted(app_path.rglob("*"), key=lambda x: -len(x.parts)):
if not p.is_file():
continue
# Skip risorse non eseguibili
if p.suffix in (".plist", ".nib", ".png", ".icns", ".svg",
".html", ".css", ".js", ".json", ".md", ".txt"):
continue
try:
with open(p, "rb") as f:
magic = f.read(4)
except Exception:
continue
# Mach-O magic numbers (32/64-bit, big/little endian, fat)
if magic in (b"\xcf\xfa\xed\xfe", b"\xce\xfa\xed\xfe",
b"\xfe\xed\xfa\xce", b"\xfe\xed\xfa\xcf",
b"\xca\xfe\xba\xbe", b"\xbe\xba\xfe\xca"):
nested_machos.append(p)
log(f"Trovati {len(nested_machos)} binari Mach-O da firmare.")
for p in nested_machos:
# Per ffmpeg/ffprobe dentro al sub-bundle .app, usa l'identifier
# del SUB-bundle (TCC li tratta come app separate con Info.plist
# proprio). Per gli altri binari nested (dylib, framework), usa
# l'identifier del bundle principale.
ident = _BUNDLE_ID
parts = p.relative_to(app_path).parts
for sub in ("ffmpeg.app", "ffprobe.app"):
if sub in parts:
ident = f"{_BUNDLE_ID}.{sub.replace('.app', '')}"
break
r = subprocess.run(
["codesign", "--force", "--sign", "-",
"--identifier", ident,
"--timestamp=none",
str(p)],
capture_output=True, text=True,
)
if r.returncode != 0:
log(f" warn: firma {p.name} fallita: {r.stderr.strip()}")
# Firma anche i sub-bundle .app come bundle (con il loro Info.plist).
for sub in ("ffmpeg.app", "ffprobe.app"):
sub_path = app_path / "Contents" / "Frameworks" / sub
if not sub_path.exists():
continue
sub_ident = f"{_BUNDLE_ID}.{sub.replace('.app', '')}"
r = subprocess.run(
["codesign", "--force", "--sign", "-",
"--identifier", sub_ident,
"--timestamp=none",
str(sub_path)],
capture_output=True, text=True,
)
if r.returncode != 0:
log(f" warn: firma {sub} fallita: {r.stderr.strip()}")
# 3) Firma del bundle .app principale (l'identifier corretto viene
# letto dall'Info.plist - CFBundleIdentifier che gia' settiamo).
r = subprocess.run(
["codesign", "--force", "--sign", "-",
"--identifier", _BUNDLE_ID,
"--timestamp=none",
str(app_path)],
capture_output=True, text=True,
)
if result.returncode != 0:
log(f"ATTENZIONE: codesign fallito: {result.stderr.strip()}")
if r.returncode != 0:
log(f"ATTENZIONE: firma bundle fallita: {r.stderr.strip()}")
else:
log("Codesign ad-hoc completato.")
# Verifica
# 4) Verifica finale
verify = subprocess.run(
["codesign", "--verify", "--deep", "--strict", str(app_path)],
capture_output=True, text=True,
@@ -334,7 +528,7 @@ def adhoc_codesign(app_path):
if verify.returncode == 0:
log("Verifica firma OK.")
else:
log(f"NOTA: verifica firma con warning: {verify.stderr.strip()}")
log(f"NOTA verifica firma: {verify.stderr.strip()}")
except FileNotFoundError:
log("ATTENZIONE: 'codesign' non trovato nel PATH, skip ad-hoc signing")
@@ -361,6 +555,7 @@ def main():
shutil.rmtree(BUNDLE_DIR)
download_ytdlp()
download_fpcalc()
bundle_ffmpeg()
run_pyinstaller()
+36 -6
View File
@@ -29,8 +29,10 @@ BUILD_DIR = ROOT / "build"
DIST_DIR = ROOT / "dist"
BUNDLE_DIR = ROOT / "bundle_bin"
YTDLP_URL = "https://github.com/yt-dlp/yt-dlp/releases/latest/download/yt-dlp.exe"
YTDLP_URL = "https://github.com/yt-dlp/yt-dlp-nightly-builds/releases/latest/download/yt-dlp.exe"
FFMPEG_URL = "https://github.com/BtbN/FFmpeg-Builds/releases/download/latest/ffmpeg-master-latest-win64-gpl.zip"
FPCALC_URL = ("https://github.com/acoustid/chromaprint/releases/download/"
"v1.5.1/chromaprint-fpcalc-1.5.1-windows-x86_64.zip")
def log(msg):
@@ -41,13 +43,11 @@ def log(msg):
# 1. Scarica yt-dlp.exe
# =========================================================================
def download_ytdlp():
"""Scarica sempre il nightly fresco: la stable resta indietro di
3-4 settimane rispetto alle rotture API YouTube."""
dest = BUNDLE_DIR / "yt-dlp.exe"
if dest.exists():
log(f"yt-dlp.exe gia presente: {dest}")
return dest
log(f"Scarico yt-dlp.exe ...")
BUNDLE_DIR.mkdir(parents=True, exist_ok=True)
log(f"Scarico yt-dlp.exe nightly ...")
urllib.request.urlretrieve(YTDLP_URL, dest)
log(f"yt-dlp.exe scaricato ({dest.stat().st_size // 1024 // 1024} MB)")
return dest
@@ -87,6 +87,33 @@ def download_ffmpeg():
sys.exit(1)
# =========================================================================
# 2b. Scarica fpcalc.exe (Chromaprint) — usato dal tab Dedup
# =========================================================================
def download_fpcalc():
dest = BUNDLE_DIR / "fpcalc.exe"
if dest.exists():
log("fpcalc.exe gia presente")
return
log(f"Scarico fpcalc.exe ...")
BUNDLE_DIR.mkdir(parents=True, exist_ok=True)
response = urllib.request.urlopen(FPCALC_URL)
zip_data = io.BytesIO(response.read())
with zipfile.ZipFile(zip_data) as zf:
for member in zf.namelist():
basename = Path(member).name
if basename == "fpcalc.exe":
data = zf.read(member)
dest.write_bytes(data)
log(f" Estratto: fpcalc.exe ({len(data) // 1024} KB)")
if not dest.exists():
print("ERRORE: fpcalc.exe non trovato nello zip!")
sys.exit(1)
# =========================================================================
# 3. PyInstaller
# =========================================================================
@@ -133,6 +160,8 @@ def run_pyinstaller():
"--collect-all", "pythonnet",
"--collect-all", "clr_loader",
"--collect-all", "mutagen",
# certifi ha il file dati cacert.pem necessario per SSL/HTTPS
"--collect-data", "certifi",
# collect-data prende anche i file .json/.dll non-Python che
# collect-all potrebbe saltare (Python.Runtime.runtimeconfig.json
# in particolare).
@@ -185,6 +214,7 @@ def main():
download_ytdlp()
download_ffmpeg()
download_fpcalc()
run_pyinstaller()
print("\n" + "=" * 50)
+240
View File
@@ -0,0 +1,240 @@
"""AcoustID + MusicBrainz lookup con cache SQLite.
Data un fingerprint Chromaprint (calcolato via `fpcalc`), interroga il
servizio pubblico AcoustID (https://acoustid.org) per recuperare
metadati sulla traccia: artista, titolo, anno di rilascio piu' antico
e (best-effort) un genere estratto dai tag dei release group MusicBrainz.
I risultati vengono cacheati su SQLite (chiave = fingerprint) per non
sprecare quota API su scan ripetute. La rate limit e' auto-imposta a
~3 req/s per rispettare i limiti pubblici AcoustID.
Nota: l'API AcoustID base NON restituisce sempre il genere — dipende
dai tag presenti nel release group MusicBrainz. Molte tracce dance
electronic hanno pochi tag; il campo `genre` puo' quindi essere vuoto
anche con un match valido. In quel caso il chiamante rimapa in
"Unknown Genre".
"""
from __future__ import annotations
import json
import sqlite3
import time
from pathlib import Path
from typing import Optional
import requests
# App key pubblica per MusicTools. Puo' essere sovrascritta passando
# `app_key` esplicito o via config. Chiavi si ottengono gratis su
# https://acoustid.org/api-key (max ~3 req/s).
# Default: chiave pubblica di MusicBrainz Picard (open-source tagger ufficiale).
# Per uso intenso registra una app dedicata su https://acoustid.org/api-key
# e settala in Impostazioni → acoustid_app_key.
_APP_KEY = "v8pQ6oyB"
_API_URL = "https://api.acoustid.org/v2/lookup"
_REQUEST_TIMEOUT = 20
_RATE_LIMIT_SEC = 0.35 # ~3 req/s max
def _cache_db_path() -> Path:
"""Path del DB di cache dei lookup AcoustID.
Riusa `_get_config_dir` di core.config cosi' finisce nella stessa
cartella di config.json e dedup_cache.db.
"""
from core.config import _get_config_dir
return _get_config_dir() / "catalog_cache.db"
def _init_db(conn: sqlite3.Connection) -> None:
"""Crea (idempotente) lo schema della cache."""
conn.executescript(
"""
CREATE TABLE IF NOT EXISTS lookups(
fingerprint TEXT PRIMARY KEY,
payload TEXT NOT NULL,
cached_at REAL NOT NULL
);
"""
)
conn.commit()
def _open_cache() -> sqlite3.Connection:
"""Apre (creando se serve) la connessione alla cache."""
p = _cache_db_path()
p.parent.mkdir(parents=True, exist_ok=True)
conn = sqlite3.connect(str(p))
_init_db(conn)
return conn
def _get_cached(conn: sqlite3.Connection, fingerprint: str) -> Optional[dict]:
row = conn.execute(
"SELECT payload FROM lookups WHERE fingerprint = ?", (fingerprint,)
).fetchone()
if not row:
return None
try:
return json.loads(row[0])
except Exception:
return None
def _put_cache(conn: sqlite3.Connection, fingerprint: str, data: dict) -> None:
conn.execute(
"INSERT OR REPLACE INTO lookups(fingerprint, payload, cached_at)"
" VALUES (?, ?, ?)",
(fingerprint, json.dumps(data, ensure_ascii=False), time.time()),
)
conn.commit()
# Rate-limit state (globale al processo — vale anche se lookup chiamato
# da thread diversi: non e' esattamente thread-safe ma il worst-case e'
# una richiesta leggermente troppo veloce, non un ban).
_last_request_at = [0.0]
def _throttle() -> None:
"""Attende quel tanto che basta per rispettare _RATE_LIMIT_SEC."""
now = time.monotonic()
elapsed = now - _last_request_at[0]
if elapsed < _RATE_LIMIT_SEC:
time.sleep(_RATE_LIMIT_SEC - elapsed)
_last_request_at[0] = time.monotonic()
def _extract_min_year(releases: list) -> Optional[int]:
"""Trova l'anno piu' antico tra i release. Ignora date invalide."""
year: Optional[int] = None
for rel in releases or []:
date = rel.get("date") if isinstance(rel, dict) else None
if not isinstance(date, dict):
continue
y = date.get("year")
if isinstance(y, int) and y > 0:
if year is None or y < year:
year = y
return year
def _extract_top_genre(releases: list) -> str:
"""Sceglie il tag piu' rilevante dai releasegroup (max `count`)."""
for rel in releases or []:
rg = rel.get("releasegroup") if isinstance(rel, dict) else None
if not isinstance(rg, dict):
continue
tags = rg.get("tags") or []
if not isinstance(tags, list) or not tags:
continue
try:
top = max(tags, key=lambda t: int(t.get("count", 0) or 0))
except (TypeError, ValueError):
top = tags[0]
name = (top.get("name") or "").strip() if isinstance(top, dict) else ""
if name:
return name
return ""
def lookup(fingerprint: str, duration: float,
app_key: str = _APP_KEY) -> dict:
"""Interroga AcoustID (o cache) per una tripla (year, genre, title).
Ritorna sempre un dict con almeno il campo `matched: bool`. In caso
di match valido, aggiunge `year: int|None`, `genre: str`,
`artist: str`, `title: str`. In caso di errore aggiunge `error: str`
ma NON alza eccezione: chiamanti di batch (Cataloga) devono poter
continuare anche se una chiamata singola fallisce.
Cache: risultati validi E "no match" vengono cacheati sul
fingerprint — cosi' scansioni ripetute non re-interrogano l'API.
Errori transitori (rete/HTTP) NON vengono cacheati.
"""
if not fingerprint:
return {"matched": False, "error": "fingerprint vuoto"}
if not app_key:
app_key = _APP_KEY
conn = _open_cache()
try:
cached = _get_cached(conn, fingerprint)
if cached is not None:
return cached
_throttle()
try:
resp = requests.get(
_API_URL,
params={
"client": app_key,
"meta": "recordings+releases+releasegroups",
"duration": int(duration or 0),
"fingerprint": fingerprint,
},
timeout=_REQUEST_TIMEOUT,
)
except requests.RequestException as e:
return {"matched": False, "error": f"network: {e}"}
except Exception as e:
return {"matched": False, "error": str(e)}
if resp.status_code != 200:
return {"matched": False, "error": f"HTTP {resp.status_code}"}
try:
data = resp.json()
except Exception as e:
return {"matched": False, "error": f"JSON malformato: {e}"}
if data.get("status") != "ok":
err = data.get("error", {}) or {}
msg = err.get("message") if isinstance(err, dict) else str(err)
return {"matched": False, "error": msg or "AcoustID status non-ok"}
results = data.get("results") or []
if not results:
result = {"matched": False}
_put_cache(conn, fingerprint, result)
return result
# Match col miglior score
best = max(results, key=lambda r: r.get("score", 0) or 0)
recordings = best.get("recordings") or []
if not recordings:
result = {"matched": False}
_put_cache(conn, fingerprint, result)
return result
rec = recordings[0] or {}
title = (rec.get("title") or "").strip()
artists = rec.get("artists") or []
artist_names = [
(a.get("name") or "").strip()
for a in artists
if isinstance(a, dict) and a.get("name")
]
artist = ", ".join(n for n in artist_names if n)
releases = rec.get("releases") or []
year = _extract_min_year(releases)
genre = _extract_top_genre(releases)
result = {
"matched": bool(year or genre or title),
"year": year,
"genre": genre,
"artist": artist,
"title": title,
}
_put_cache(conn, fingerprint, result)
return result
finally:
try:
conn.close()
except Exception:
pass
+134
View File
@@ -0,0 +1,134 @@
"""Setup logging persistente su file rotante.
Chiamato in `main.py` prima di qualsiasi import pesante. Il file di log
vive in:
- macOS: ~/Library/Application Support/MusicTools/logs/app.log
- Windows: %APPDATA%/MusicTools/logs/app.log
- Dev: <project_root>/logs/app.log
Rotazione: 1 file al giorno, mantiene gli ultimi 7. Cattura anche stdout
e stderr per non perdere `print()` o traceback che l'app windowed
altrimenti scarterebbe.
"""
from __future__ import annotations
import logging
import logging.handlers
import os
import sys
from pathlib import Path
_setup_done = False
def _logs_dir() -> Path:
"""Directory dei log — parallela a config.json."""
if getattr(sys, "frozen", False):
if sys.platform == "win32":
base = Path(os.environ.get("APPDATA", Path.home()))
else:
base = Path.home() / "Library" / "Application Support"
d = base / "MusicTools" / "logs"
else:
d = Path(__file__).resolve().parent.parent / "logs"
d.mkdir(parents=True, exist_ok=True)
return d
def log_file_path() -> Path:
return _logs_dir() / "app.log"
def _install_excepthook() -> None:
"""Cattura ogni uncaught exception dentro il file di log.
NON tocca sys.stdout/stderr (romperebbe WebKit)."""
import traceback
logger = logging.getLogger("uncaught")
_orig = sys.excepthook
def _hook(exc_type, exc_value, tb):
try:
logger.error(
"Uncaught: %s: %s\n%s",
exc_type.__name__,
exc_value,
"".join(traceback.format_exception(exc_type, exc_value, tb)),
)
except Exception:
pass
try:
_orig(exc_type, exc_value, tb)
except Exception:
pass
sys.excepthook = _hook
# Anche per exception in threading (Python 3.8+)
try:
_orig_thread = threading_excepthook = getattr(__import__("threading"), "excepthook", None)
def _thread_hook(args):
try:
logger.error(
"Thread uncaught: %s: %s\n%s",
args.exc_type.__name__,
args.exc_value,
"".join(traceback.format_exception(args.exc_type, args.exc_value, args.exc_traceback)),
)
except Exception:
pass
if _orig_thread:
try:
_orig_thread(args)
except Exception:
pass
if threading_excepthook is not None:
__import__("threading").excepthook = _thread_hook
except Exception:
pass
def setup() -> Path:
"""Configura il logger root — NON tocca stdout/stderr per non rompere
WebKit (segfault). Cattura traceback via sys.excepthook + logger.
"""
global _setup_done
path = log_file_path()
if _setup_done:
return path
_setup_done = True
root = logging.getLogger()
root.setLevel(logging.INFO)
fmt = logging.Formatter(
fmt="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
datefmt="%Y-%m-%d %H:%M:%S",
)
# File handler con rotazione giornaliera (max 7 file = 7 giorni)
fh = logging.handlers.TimedRotatingFileHandler(
str(path),
when="midnight",
backupCount=7,
encoding="utf-8",
utc=False,
)
fh.setFormatter(fmt)
fh.setLevel(logging.INFO)
root.addHandler(fh)
# Se in dev, mantieni anche console (utile durante lavoro)
if not getattr(sys, "frozen", False):
ch = logging.StreamHandler(sys.__stderr__)
ch.setFormatter(fmt)
ch.setLevel(logging.INFO)
root.addHandler(ch)
_install_excepthook()
root.info(f"MusicTools log start — file: {path}")
return path
+248
View File
@@ -0,0 +1,248 @@
"""Fetch Top 100 Beatport per genere.
Approccio: estrai il JSON `__NEXT_DATA__` dal HTML della pagina Next.js.
Bypass Cloudflare via curl_cffi (TLS impersonation).
Vedi docs/superpowers/specs/2026-07-14-beatport-charts-design.md.
"""
from __future__ import annotations
import json
import re
import time
from dataclasses import dataclass
from curl_cffi import requests as _cffi_requests
@dataclass(frozen=True)
class BeatportTrack:
position: int
title: str
mix: str # es. "Extended Mix", "Original Mix", ""
artists: str # es. "A, B & C" già formattato
duration_sec: int
beatport_id: int
image_url: str = "" # URL cover art (default vuoto per retrocompatibilità test)
release_date: str = "" # ISO YYYY-MM-DD, vuoto se mancante
@property
def display(self) -> str:
"""Formato testo compatibile coi file .txt curati a mano:
'Artista – Titolo (Mix) (M:SS)'."""
m, s = divmod(self.duration_sec, 60)
return f"{self.artists} – {self.title} ({self.mix}) ({m}:{s:02d})"
@property
def spotify_query(self) -> str:
"""Query pura per la search Spotify (senza mix name, che disturba
il matching su titoli tipo 'Extended Mix')."""
return f"{self.artists} {self.title}"
class BeatportError(Exception):
"""Base per errori Beatport."""
class BeatportUnreachableError(BeatportError):
"""Rete o server Beatport non raggiungibile / 5xx."""
class BeatportParseError(BeatportError):
"""HTML/JSON ricevuto ma non conforme allo schema atteso."""
_NEXT_DATA_RE = re.compile(
r'<script id="__NEXT_DATA__"[^>]*>(.+?)</script>',
re.DOTALL,
)
def _extract_next_data(html: str) -> dict:
"""Estrae il payload JSON dallo script <__NEXT_DATA__> di Next.js."""
m = _NEXT_DATA_RE.search(html)
if not m:
raise BeatportParseError("__NEXT_DATA__ non trovato nella pagina Beatport")
try:
return json.loads(m.group(1))
except json.JSONDecodeError as e:
raise BeatportParseError(f"__NEXT_DATA__ JSON malformato: {e}") from e
# Mappa slug URL Beatport -> (numeric_id, display_name)
# Enumerata via scripts/refresh_beatport_genres.py (Task 1).
# Copia dell'output di /tmp/genres_output.txt (31 generi).
GENRES: dict = {
"drum-bass": (1, "Drum & Bass"),
"hard-techno": (2, "Hard Techno"),
"electronica": (3, "Electronica"),
"house": (5, "House"),
"techno-peak-time-driving": (6, "Techno (Peak Time / Driving)"),
"trance-main-floor": (7, "Trance (Main Floor)"),
"hard-dance-hardcore-neo-rave": (8, "Hard Dance / Hardcore / Neo Rave"),
"breaks-breakbeat-uk-bass": (9, "Breaks / Breakbeat / UK Bass"),
"tech-house": (11, "Tech House"),
"deep-house": (12, "Deep House"),
"psy-trance": (13, "Psy-Trance"),
"minimal-deep-tech": (14, "Minimal / Deep Tech"),
"progressive-house": (15, "Progressive House"),
"dubstep": (18, "Dubstep"),
"indie-dance": (37, "Indie Dance"),
"trap-future-bass": (38, "Trap / Future Bass"),
"dance-pop": (39, "Dance / Pop"),
"nu-disco-disco": (50, "Nu Disco / Disco"),
"funky-house": (81, "Funky House"),
"bass-club": (85, "Bass / Club"),
"uk-garage-bassline": (86, "UK Garage / Bassline"),
"afro-house": (89, "Afro House"),
"melodic-house-techno": (90, "Melodic House & Techno"),
"bass-house": (91, "Bass House"),
"techno-raw-deep-hypnotic": (92, "Techno (Raw / Deep / Hypnotic)"),
"organic-house": (93, "Organic House"),
"electro-classic-detroit-modern": (94, "Electro (Classic / Detroit / Modern)"),
"140-deep-dubstep-grime": (95, "140 / Deep Dubstep / Grime"),
"mainstage": (96, "Mainstage"),
"jackin-house": (97, "Jackin House"),
"trance-raw-deep-hypnotic": (99, "Trance (Raw / Deep / Hypnotic)"),
}
def list_genres() -> list:
"""Ritorna [{slug, id, name}, ...] ordinato alfabeticamente per name."""
result = [
{"slug": slug, "id": gid, "name": name}
for slug, (gid, name) in GENRES.items()
]
result.sort(key=lambda g: g["name"].casefold())
return result
def _find_tracks_results(data: dict) -> list:
"""Cerca dentro le queries dehydrated il primo `results` che ha almeno 50 elementi
e la shape di una track (chiave `id` presente)."""
try:
queries = data["props"]["pageProps"]["dehydratedState"]["queries"]
except (KeyError, TypeError) as e:
raise BeatportParseError(
f"schema JSON inatteso, `results` non localizzabile (chiave mancante: {e})"
) from e
for q in queries:
state_data = (q or {}).get("state", {}).get("data")
if not isinstance(state_data, dict):
continue
results = state_data.get("results")
if isinstance(results, list) and len(results) >= 50:
if results and isinstance(results[0], dict) and "id" in results[0]:
return results
raise BeatportParseError("nessun `results` di 50+ track trovato in __NEXT_DATA__")
def _format_artists(artists_field: object) -> str:
"""Beatport ritorna artists come lista di dict {name, ...}.
Formatta come 'A, B & C' (& prima dell'ultimo)."""
if not isinstance(artists_field, list) or not artists_field:
return ""
names = [a.get("name", "") for a in artists_field if isinstance(a, dict)]
names = [n for n in names if n]
if not names:
return ""
if len(names) == 1:
return names[0]
return ", ".join(names[:-1]) + " & " + names[-1]
def _extract_image_url(image_field: object, size: int = 95) -> str:
"""Estrae URL cover art dall'oggetto `image` di Beatport.
Preferisce `dynamic_uri` sostituendo {w}x{h}, fallback a `uri` fisso."""
if not isinstance(image_field, dict):
return ""
dyn = image_field.get("dynamic_uri") or ""
if isinstance(dyn, str) and "{w}" in dyn and "{h}" in dyn:
return dyn.replace("{w}", str(size)).replace("{h}", str(size))
return image_field.get("uri") or ""
def _parse_tracks(data: dict) -> list:
"""Trasforma i track dict di Beatport in BeatportTrack ordinati per posizione."""
raw = _find_tracks_results(data)
out: list = []
for i, item in enumerate(raw, 1):
try:
length_ms = int(item.get("length_ms") or 0)
track = BeatportTrack(
position=i,
title=str(item.get("name") or "").strip(),
mix=str(item.get("mix_name") or "").strip(),
artists=_format_artists(item.get("artists")),
duration_sec=length_ms // 1000,
beatport_id=int(item.get("id") or 0),
image_url=_extract_image_url(item.get("image")),
release_date=str(item.get("publish_date") or item.get("new_release_date") or "").strip(),
)
except (TypeError, ValueError) as e:
raise BeatportParseError(f"track[{i}] shape inattesa: {e}") from e
out.append(track)
return out
_IMPERSONATE = "chrome131" # aggiorna se CF rompe il fingerprint
_REQUEST_TIMEOUT = 15
_MAX_ATTEMPTS = 3
_BACKOFF_SEC = [1, 3] # attese fra tentativi
_CACHE_TTL_SEC = 15 * 60
# Cache in-memory: slug → (timestamp_epoch, list[BeatportTrack])
_cache: dict = {}
def _url_for(slug: str) -> str:
gid, _ = GENRES[slug]
return f"https://www.beatport.com/genre/{slug}/{gid}/top-100"
def _do_get(url: str) -> str:
"""GET con retry e backoff. Solleva BeatportUnreachableError su fallimento definitivo."""
last_exc = None
for attempt in range(_MAX_ATTEMPTS):
try:
resp = _cffi_requests.get(
url,
impersonate=_IMPERSONATE,
timeout=_REQUEST_TIMEOUT,
)
if resp.status_code >= 500 or resp.status_code == 403:
raise Exception(f"HTTP {resp.status_code}")
resp.raise_for_status()
return resp.text
except Exception as e:
last_exc = e
if attempt < _MAX_ATTEMPTS - 1:
time.sleep(_BACKOFF_SEC[attempt])
raise BeatportUnreachableError(f"Beatport irraggiungibile dopo {_MAX_ATTEMPTS} tentativi: {last_exc}")
def fetch_top100(slug: str, force_refresh: bool = False) -> list:
"""Fetches la Top 100 Beatport per il genere dato.
Cache in-memory 15 min. `force_refresh=True` bypassa la cache.
Raises:
ValueError: se slug non è in GENRES.
BeatportUnreachableError: rete/5xx dopo i retry.
BeatportParseError: HTML/JSON non conforme allo schema.
"""
if slug not in GENRES:
raise ValueError(f"slug genere non valido: {slug!r}")
now = time.time()
if not force_refresh:
cached = _cache.get(slug)
if cached and (now - cached[0]) < _CACHE_TTL_SEC:
return cached[1]
html = _do_get(_url_for(slug))
data = _extract_next_data(html)
tracks = _parse_tracks(data)
_cache[slug] = (now, tracks)
return tracks
+390
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@@ -0,0 +1,390 @@
"""Cataloga file audio in sottocartelle <Anno>/<Genere>/ via AcoustID.
Pipeline:
1. Scansiona la cartella (opzionalmente ricorsivo) filtrando per
estensioni audio (AUDIO_EXTENSIONS di core.upgrader).
2. Per ogni file calcola il fingerprint Chromaprint (`fpcalc`,
riusa `core.dedup.compute_fingerprint`).
3. Lookup AcoustID (cache SQLite) per estrarre year + genre +
artist + title.
4. `move_files` sposta le entry selezionate in
`<target>/<Year>/<Genre>/<filename>`. Se manca year/genre usa
"Unknown Year" / "Unknown Genre".
Progress callback firma:
(processed, total, filename, status[, err_msg])
Status: 'computing' | 'lookup' | 'error' | 'stopped' | 'completed'.
`entry_callback(entry)` viene chiamato per ogni file processato,
permettendo alla UI di aggiornare la tabella in streaming.
"""
from __future__ import annotations
import re
import shutil
import threading
from pathlib import Path
from typing import Callable, Optional
from core.acoustid import lookup
_NUM_PREFIX = re.compile(r"^\s*\d+\s*[.\-)]\s*")
_PAREN_TAIL = re.compile(r"\s*[\[(].*?[\])]\s*$")
_DASH_SPLIT = re.compile(r"\s+[-–—]\s+")
def _parse_filename(stem: str) -> tuple:
"""Estrae (artist, title) da nome file tipo 'Artista - Titolo (Mix)'.
Ritorna ('', stem) se non c'è dash separator."""
s = stem.strip()
s = _NUM_PREFIX.sub("", s)
# Rimuove parentesi finali (Extended Mix), [Original Mix] ecc.
for _ in range(3):
s = _PAREN_TAIL.sub("", s).strip()
parts = _DASH_SPLIT.split(s, maxsplit=1)
if len(parts) == 2:
artist, title = parts[0].strip(), parts[1].strip()
if artist and title:
return artist, title
return "", s
def _spotify_lookup_fallback(stem: str, token: str, genre_cache: dict) -> Optional[dict]:
"""Fallback quando AcoustID non trova nulla: search Spotify col filename.
Ritorna {matched, year, genre, artist, title} o None su errore.
Popola `genre_cache` (dict artist_id → primo genere) per non chiamare
l'API `/artists/<id>` per ogni traccia dello stesso artista.
"""
from core.spotify_client import search_tracks, get_artist_genres
artist_hint, title_hint = _parse_filename(stem)
query = f"{artist_hint} {title_hint}".strip() if artist_hint else title_hint
if not query:
return None
try:
results = search_tracks(token, query, limit=1)
except Exception:
return None
if not results:
return None
top = results[0]
release_date = (top.get("release_date") or "").strip()
year = None
if len(release_date) >= 4 and release_date[:4].isdigit():
year = int(release_date[:4])
# Prendi il primo genere dell'artista (con cache per non abusare l'API)
genre = ""
artist_id = top.get("artist_id") or ""
if artist_id:
if artist_id in genre_cache:
genres = genre_cache[artist_id]
else:
try:
genres = get_artist_genres(token, artist_id) or []
except Exception:
genres = []
genre_cache[artist_id] = genres
if genres:
genre = genres[0]
return {
"matched": bool(year or genre or top.get("name")),
"year": year,
"genre": genre,
"artist": top.get("artists", "") or "",
"title": top.get("name", "") or "",
"_source": "spotify",
}
from core.dedup import compute_fingerprint
from core.paths import find_fpcalc
from core.upgrader import AUDIO_EXTENSIONS
# ------------------------------------------------------------------
# Stop / interrupt
# ------------------------------------------------------------------
_stop_event = threading.Event()
def request_stop() -> None:
"""Segnala al worker di interrompere la scansione al prossimo file."""
_stop_event.set()
def reset_stop() -> None:
"""Azzera il flag di stop prima di iniziare una nuova scansione."""
_stop_event.clear()
def is_stopped() -> bool:
return _stop_event.is_set()
# ------------------------------------------------------------------
# Sanitize path
# ------------------------------------------------------------------
# Caratteri vietati o problematici in nomi cartella cross-platform.
# `/` e `\` sono trattati a parte perche' MusicBrainz usa spesso
# genre-name-style come "electronic/house": vogliamo rimpiazzarli con
# `_` (non con lo split, che creerebbe path nesting indesiderati).
_FORBIDDEN = re.compile(r'[<>:"|?*\\/]+')
_MULTI_SPACE = re.compile(r"\s+")
def _sanitize_folder(name: str) -> str:
"""Sanitize per path filesystem: rimpiazza chars non validi con `_`.
- Chars vietati Windows (<>:"|?*) + slash → `_`
- Spazi multipli collassati in uno solo
- Trim finale
- Troncamento a 100 char (limite pratico per path lunghi cumulati)
"""
if not name:
return ""
s = _FORBIDDEN.sub("_", name).strip()
s = _MULTI_SPACE.sub(" ", s)
if len(s) > 100:
s = s[:100].rstrip()
return s
# ------------------------------------------------------------------
# Scan
# ------------------------------------------------------------------
def scan_folder(
directory: str,
recursive: bool = True,
progress_callback: Optional[Callable] = None,
entry_callback: Optional[Callable] = None,
spotify_token: Optional[str] = None,
) -> list:
"""Scansiona la cartella e ritorna la lista di entry con metadata.
Ogni entry:
{path, size, fingerprint, matched, year, genre, artist, title, error?}
- `progress_callback(idx, total, filename, status[, err])`:
chiamato con status 'computing' | 'lookup' | 'error' | 'stopped'
| 'completed'. Firma retrocompatibile (4 args) supportata.
- `entry_callback(entry)`: chiamato appena ogni file e' processato
(streaming alla UI).
"""
reset_stop()
base = Path(directory)
if not base.exists() or not base.is_dir():
if progress_callback:
_emit_progress(progress_callback, 0, 0, "", "completed", "")
return []
files: list = []
iterator = base.rglob("*") if recursive else base.iterdir()
for f in iterator:
try:
if f.is_file() and f.suffix.lower() in AUDIO_EXTENSIONS:
files.append(f)
except OSError:
continue
files.sort()
total = len(files)
if total == 0:
if progress_callback:
_emit_progress(progress_callback, 0, 0, "", "completed", "")
return []
fpcalc = find_fpcalc()
entries: list = []
# Cache locale per non re-fetchare i generi dello stesso artista Spotify
_spotify_genre_cache: dict = {}
for i, fp_path in enumerate(files, start=1):
if is_stopped():
_emit_progress(progress_callback, i - 1, total, "", "stopped", "")
return entries
try:
size = fp_path.stat().st_size
except OSError as e:
_emit_progress(progress_callback, i, total, fp_path.name,
"error", f"stat: {e}")
continue
# Fingerprint
_emit_progress(progress_callback, i, total, fp_path.name, "computing", "")
res = compute_fingerprint(fpcalc, str(fp_path)) if fpcalc else None
if not res or not res.get("fingerprint"):
err = (res or {}).get("_error") or "fpcalc non disponibile"
entry = {
"path": str(fp_path), "size": size, "fingerprint": "",
"matched": False, "error": err,
"year": None, "genre": "", "artist": "", "title": "",
}
entries.append(entry)
if entry_callback:
try:
entry_callback(entry)
except Exception:
pass
_emit_progress(progress_callback, i, total, fp_path.name,
"error", err)
continue
fp_hash = res["fingerprint"]
duration = float(res.get("duration") or 0)
# AcoustID lookup (cache SQLite dentro core.acoustid)
_emit_progress(progress_callback, i, total, fp_path.name, "lookup", "")
info = lookup(fp_hash, duration)
matched = bool(info.get("matched"))
source = "acoustid"
# Fallback su Spotify se AcoustID non ha trovato niente e abbiamo il token.
# Molti file (mashup, bootleg, extended mix) non sono in MusicBrainz ma Spotify
# ha ottima copertura per dance/electronic.
if not matched and spotify_token:
_emit_progress(progress_callback, i, total, fp_path.name, "spotify_fallback", "")
fb = _spotify_lookup_fallback(fp_path.stem, spotify_token, _spotify_genre_cache)
if fb and fb.get("matched"):
info = fb
matched = True
source = "spotify"
entry = {
"path": str(fp_path),
"size": size,
"fingerprint": fp_hash,
"matched": matched,
"year": info.get("year"),
"genre": (info.get("genre") or "").strip(),
"artist": (info.get("artist") or "").strip(),
"title": (info.get("title") or "").strip(),
"source": source,
}
if info.get("error"):
entry["error"] = info["error"]
entries.append(entry)
if entry_callback:
try:
entry_callback(entry)
except Exception:
pass
_emit_progress(progress_callback, total, total, "", "completed", "")
return entries
def _emit_progress(cb: Optional[Callable], idx: int, total: int,
name: str, status: str, err: str = "") -> None:
"""Chiama progress_callback in modo retrocompatibile (4 o 5 args)."""
if not cb:
return
try:
cb(idx, total, name, status, err)
except TypeError:
try:
cb(idx, total, name, status)
except Exception:
pass
except Exception:
pass
# ------------------------------------------------------------------
# Move
# ------------------------------------------------------------------
def move_files(entries: list, target_root: str,
log_callback: Optional[Callable] = None,
layout: str = "year_genre") -> dict:
"""Sposta i file elencati in `<target_root>/<year>/<genre>/<filename>`.
- Se `year` manca → cartella "Unknown Year"
- Se `genre` manca → cartella "Unknown Genre"
- Se il file destinazione esiste gia', aggiunge suffisso _1, _2...
(non sovrascrive mai).
Ritorna un dict:
{
"moved": int, # numero file spostati con successo
"skipped": int, # entries scartate (0 per ora)
"failed": [{path, error}], # errori per file
"operations": [{src, dst}], # log ops riuscite (utile per undo)
}
`log_callback(op)` viene chiamato per ogni operazione riuscita
(streaming alla UI).
"""
target_base = Path(target_root)
try:
target_base.mkdir(parents=True, exist_ok=True)
except OSError as e:
return {"moved": 0, "skipped": 0,
"failed": [{"path": target_root,
"error": f"impossibile creare target: {e}"}],
"operations": []}
result = {"moved": 0, "skipped": 0, "failed": [], "operations": []}
for entry in entries or []:
src_str = (entry or {}).get("path") or ""
src = Path(src_str)
if not src_str:
result["failed"].append({"path": "",
"error": "path mancante"})
continue
if not src.exists():
result["failed"].append({"path": src_str,
"error": "file non esiste"})
continue
year = entry.get("year")
genre = (entry.get("genre") or "").strip()
year_folder = str(year) if year else "Unknown Year"
genre_folder = _sanitize_folder(genre) or "Unknown Genre"
if layout == "genre_year":
dst_dir = target_base / genre_folder / year_folder
else: # year_genre (default)
dst_dir = target_base / year_folder / genre_folder
try:
dst_dir.mkdir(parents=True, exist_ok=True)
except OSError as e:
result["failed"].append({"path": src_str,
"error": f"mkdir: {e}"})
continue
dst = dst_dir / src.name
# Anti-overwrite: se il target esiste, aggiungi _1, _2, ...
if dst.exists():
stem = dst.stem
suffix = dst.suffix
i = 1
while dst.exists():
dst = dst_dir / f"{stem}_{i}{suffix}"
i += 1
try:
shutil.move(str(src), str(dst))
except Exception as e:
result["failed"].append({"path": src_str, "error": str(e)})
continue
result["moved"] += 1
op = {"src": src_str, "dst": str(dst)}
result["operations"].append(op)
if log_callback:
try:
log_callback(op)
except Exception:
pass
return result
+437
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@@ -0,0 +1,437 @@
"""Fetch classifiche musicali da varie sorgenti + cache SQLite.
Sorgenti supportate:
- **iTunes RSS** (`fetch_itunes`) — Top 100 "most-played" per paese (it/us/gb/ww).
Endpoint pubblico, no auth. Response JSON.
- **Last.fm** (`fetch_lastfm`) — Top tracks per tag (combinazione decade
+ genere musicale, es. "90s dance"). Richiede API key: c'e' una demo
hardcoded, l'utente puo' generarne una propria e sovrascriverla via
config (`lastfm_api_key`). https://www.last.fm/api/account/create
- **Spotify** (`fetch_spotify`) — Legge playlist chart editoriali di Spotify
(Top 50 / Viral 50 per paese) via `playlists/<id>/tracks`. Riusa le
credenziali Client Credentials gia' configurate (`client_id`/
`client_secret`). Se mancano ritorna [].
- **M2O Chart** (`fetch_m2o`) — Scraping HTML della chart dance italiana
settimanale di M2O (https://www.m2o.it/classifiche/m2o-chart/).
Tutte le funzioni ritornano una lista di dict con keys:
{rank, artist, title, album, image_url, popularity}
Cache SQLite in `~/Library/Application Support/MusicTools/charts_cache.db`
(dev: nella dir del progetto). TTL 6h. `force=True` bypassa la cache.
"""
from __future__ import annotations
import json
import sqlite3
import time
from pathlib import Path
from typing import Optional
import requests
# ---- Last.fm ----
# Demo key: sostituibile via config `lastfm_api_key`. Se questa non funziona
# piu', registrane una nuova su https://www.last.fm/api/account/create.
_LASTFM_KEY = "d060bf4a1907efe5b1e4b8b0f9a4a86e"
_LASTFM_URL = "https://ws.audioscrobbler.com/2.0/"
# ---- iTunes RSS ----
_ITUNES_URL_TPL = (
"https://rss.applemarketingtools.com/api/v2/{country}/music/"
"most-played/100/songs.json"
)
# ---- Spotify chart playlists ----
# Playlist ID editoriali di Spotify. Chiave interna -> (playlist_id, nome UI).
_SPOTIFY_CHARTS = {
"top50_global": ("37i9dQZEVXbMDoHDwVN2tF", "Top 50 Global"),
"top50_italy": ("37i9dQZEVXbIQnj7RRhdSX", "Top 50 Italy"),
"top50_usa": ("37i9dQZEVXbLRQDuF5jeBp", "Top 50 USA"),
"top50_uk": ("37i9dQZEVXbLnolsZ8PSNw", "Top 50 UK"),
"viral50_global": ("37i9dQZEVXbLiRSasKsNU9", "Viral 50 Global"),
"viral50_italy": ("37i9dQZEVXbNFJfN1Vw8d9", "Viral 50 Italy"),
}
# ---- M2O Chart ----
_M2O_URL = "https://www.m2o.it/classifiche/m2o-chart/"
# ---- Cache ----
_CACHE_TTL_SEC = 6 * 3600 # 6h
# ------------------------------------------------------------------
# Cache SQLite
# ------------------------------------------------------------------
def _cache_db_path() -> Path:
from core.config import _get_config_dir
return _get_config_dir() / "charts_cache.db"
def _init_db(conn: sqlite3.Connection) -> None:
conn.executescript(
"""
CREATE TABLE IF NOT EXISTS charts(
key TEXT PRIMARY KEY,
payload TEXT,
cached_at REAL
);
"""
)
def _get_cached(conn: sqlite3.Connection, key: str) -> Optional[list]:
row = conn.execute(
"SELECT payload, cached_at FROM charts WHERE key=?", (key,)
).fetchone()
if not row:
return None
payload, cached_at = row
if time.time() - float(cached_at or 0) > _CACHE_TTL_SEC:
return None
try:
data = json.loads(payload)
return data if isinstance(data, list) else None
except Exception:
return None
def _put_cache(conn: sqlite3.Connection, key: str, data: list) -> None:
try:
conn.execute(
"INSERT OR REPLACE INTO charts(key, payload, cached_at) VALUES (?, ?, ?)",
(key, json.dumps(data, ensure_ascii=False), time.time()),
)
conn.commit()
except sqlite3.Error:
# Cache best-effort: se scrivere fallisce non blocchiamo il fetch
pass
# ------------------------------------------------------------------
# Last.fm helpers
# ------------------------------------------------------------------
def _get_lastfm_key() -> str:
"""Ritorna la key Last.fm dalla config se settata, altrimenti la demo."""
try:
from core.config import load_config
k = (load_config().get("lastfm_api_key") or "").strip()
return k or _LASTFM_KEY
except Exception:
return _LASTFM_KEY
def _build_lastfm_tag(decade: str, genre: str) -> str:
"""Combina decade + genere in un tag Last.fm compatibile.
decade: '' | '70s' | '80s' | '90s' | '2000s' | '2010s'
genre: '' | 'pop' | 'rock' | 'dance' | ...
Esempi:
_build_lastfm_tag('90s', 'dance') -> '90s dance'
_build_lastfm_tag('', 'italo disco') -> 'italo disco'
_build_lastfm_tag('80s', '') -> '80s'
_build_lastfm_tag('', '') -> 'pop' (fallback)
"""
d = (decade or "").strip().lower()
g = (genre or "").strip().lower()
parts: list = []
if d:
parts.append(d)
if g:
parts.append(g)
return " ".join(parts) if parts else "pop"
# ------------------------------------------------------------------
# iTunes RSS
# ------------------------------------------------------------------
def fetch_itunes(country: str = "it", force: bool = False) -> list:
"""Ritorna la top 100 iTunes "most-played" per il paese.
country: "it" | "us" | "gb" | "ww"
Ogni entry:
{rank, artist, title, album, image_url, popularity=None}
Cache 6h. `force=True` bypassa. In caso di errore HTTP/JSON ritorna [].
"""
country = (country or "it").lower().strip() or "it"
key = f"itunes:{country}"
conn = sqlite3.connect(_cache_db_path())
try:
_init_db(conn)
if not force:
cached = _get_cached(conn, key)
if cached is not None:
return cached
url = _ITUNES_URL_TPL.format(country=country)
try:
resp = requests.get(url, timeout=15)
resp.raise_for_status()
data = resp.json()
except Exception:
return []
entries: list = []
for i, item in enumerate(
(data.get("feed", {}) or {}).get("results", []) or [], start=1
):
entries.append({
"rank": i,
"artist": (item.get("artistName") or "").strip(),
"title": (item.get("name") or "").strip(),
"album": (item.get("collectionName") or "").strip(),
"image_url": (item.get("artworkUrl100") or "").strip(),
"popularity": None,
})
_put_cache(conn, key, entries)
return entries
finally:
conn.close()
# ------------------------------------------------------------------
# Last.fm
# ------------------------------------------------------------------
def fetch_lastfm(decade: str, genre: str, force: bool = False) -> list:
"""Ritorna top tracks per il tag Last.fm costruito da decade+genere.
Esempi:
fetch_lastfm('90s', 'dance') -> tag '90s dance'
fetch_lastfm('', 'italo disco') -> tag 'italo disco'
Cache 6h. In caso di errore o `tracks.track` mancante ritorna [].
"""
tag = _build_lastfm_tag(decade, genre)
key = f"lastfm:{tag}"
conn = sqlite3.connect(_cache_db_path())
try:
_init_db(conn)
if not force:
cached = _get_cached(conn, key)
if cached is not None:
return cached
try:
resp = requests.get(
_LASTFM_URL,
params={
"method": "tag.gettoptracks",
"tag": tag,
"api_key": _get_lastfm_key(),
"format": "json",
"limit": 50,
},
timeout=15,
)
resp.raise_for_status()
data = resp.json()
except Exception:
return []
entries: list = []
tracks = (data.get("tracks", {}) or {}).get("track", []) or []
for i, item in enumerate(tracks, start=1):
artist_obj = item.get("artist") or {}
if isinstance(artist_obj, dict):
artist_name = (artist_obj.get("name") or "").strip()
else:
artist_name = str(artist_obj).strip()
# Ultima immagine (di solito la piu' grande) se presente
image_url = ""
imgs = item.get("image") or []
if isinstance(imgs, list) and imgs:
last = imgs[-1]
if isinstance(last, dict):
image_url = (last.get("#text") or "").strip()
entries.append({
"rank": i,
"artist": artist_name,
"title": (item.get("name") or "").strip(),
"album": "",
"image_url": image_url,
"popularity": item.get("listeners"),
})
_put_cache(conn, key, entries)
return entries
finally:
conn.close()
# ------------------------------------------------------------------
# Spotify chart playlists
# ------------------------------------------------------------------
def _spotify_credentials() -> tuple:
"""Ritorna (client_id, client_secret) dalla config, o ('','') se assenti."""
try:
from core.config import load_config
cfg = load_config()
return (
(cfg.get("client_id") or "").strip(),
(cfg.get("client_secret") or "").strip(),
)
except Exception:
return ("", "")
def fetch_spotify(playlist_key: str, force: bool = False) -> list:
"""Ritorna i primi 50 brani di una chart playlist editoriale Spotify.
`playlist_key` deve essere una chiave di `_SPOTIFY_CHARTS`.
Richiede `client_id`/`client_secret` gia' configurate (le stesse
usate dalle altre tab). Se mancano o l'auth fallisce ritorna [].
"""
key = (playlist_key or "").strip()
if key not in _SPOTIFY_CHARTS:
return []
playlist_id, _label = _SPOTIFY_CHARTS[key]
cache_key = f"spotify:{key}"
conn = sqlite3.connect(_cache_db_path())
try:
_init_db(conn)
if not force:
cached = _get_cached(conn, cache_key)
if cached is not None:
return cached
client_id, client_secret = _spotify_credentials()
if not client_id or not client_secret:
return []
# Import qui per evitare import ciclici con core.config a livello modulo.
from core.spotify_client import get_access_token
try:
token = get_access_token(client_id, client_secret)
except Exception:
return []
try:
resp = requests.get(
f"https://api.spotify.com/v1/playlists/{playlist_id}/tracks",
headers={"Authorization": f"Bearer {token}"},
params={"limit": 50},
timeout=15,
)
resp.raise_for_status()
data = resp.json()
except Exception:
return []
entries: list = []
items = data.get("items") or []
for i, item in enumerate(items, start=1):
track = (item or {}).get("track") or {}
if not track:
continue
artists = track.get("artists") or []
artist_names = [
(a.get("name") or "").strip()
for a in artists
if isinstance(a, dict) and a.get("name")
]
artist = ", ".join(artist_names)
album = ((track.get("album") or {}).get("name") or "").strip()
image_url = ""
imgs = ((track.get("album") or {}).get("images") or [])
if imgs and isinstance(imgs[0], dict):
image_url = (imgs[0].get("url") or "").strip()
entries.append({
"rank": i,
"artist": artist,
"title": (track.get("name") or "").strip(),
"album": album,
"image_url": image_url,
"popularity": track.get("popularity"),
})
_put_cache(conn, cache_key, entries)
return entries
finally:
conn.close()
# ------------------------------------------------------------------
# M2O Chart
# ------------------------------------------------------------------
def fetch_m2o(force: bool = False) -> list:
"""Scraping della chart dance italiana settimanale di M2O.
La pagina non ha API: parsiamo l'HTML con BeautifulSoup. Estraiamo
da ogni <article>:
- rank <- .position (int, altrimenti skip)
- title <- h3.title.song
- artist <- h4.title.author (lista virgola-separata, lasciata così)
- image_url <- figure img[src]
album e popularity sono sempre vuoti (non presenti nella pagina).
Cache 6h. Errori HTTP/parse -> [].
"""
cache_key = "m2o:chart"
conn = sqlite3.connect(_cache_db_path())
try:
_init_db(conn)
if not force:
cached = _get_cached(conn, cache_key)
if cached is not None:
return cached
try:
resp = requests.get(
_M2O_URL,
headers={"User-Agent": "Mozilla/5.0 (MusicTools charts)"},
timeout=15,
)
resp.raise_for_status()
html = resp.text
except Exception:
return []
try:
from bs4 import BeautifulSoup
soup = BeautifulSoup(html, "html.parser")
except Exception:
return []
entries: list = []
for art in soup.find_all("article"):
pos_el = art.select_one(".position")
if pos_el is None:
continue
try:
rank = int((pos_el.get_text() or "").strip())
except (ValueError, TypeError):
continue
title_el = art.select_one("h3.title.song") or art.select_one("h3.song")
artist_el = art.select_one("h4.title.author") or art.select_one("h4.author")
title = title_el.get_text(strip=True) if title_el else ""
artist = artist_el.get_text(strip=True) if artist_el else ""
if not title and not artist:
continue
img_el = art.select_one("figure img")
image_url = ""
if img_el is not None:
image_url = (img_el.get("src") or img_el.get("data-src") or "").strip()
entries.append({
"rank": rank,
"artist": artist,
"title": title,
"album": "",
"image_url": image_url,
"popularity": None,
})
entries.sort(key=lambda e: e.get("rank", 9999))
_put_cache(conn, cache_key, entries)
return entries
finally:
conn.close()
+26 -1
View File
@@ -5,7 +5,7 @@ import os
import sys
from pathlib import Path
VERSION = "v1.7.11"
VERSION = "v1.13.0"
APP_NAME = "MusicTools"
@@ -68,8 +68,33 @@ DEFAULTS = {
"bitrate": "320K",
"hq_threshold": 310,
"cookies_path": str(_project_dir / "cookies.txt"),
"cookies_browser": "", # "" | chrome | safari | firefox | edge | brave
"output_dir": str(_project_dir / "MUSICA"),
"theme": "dark",
# ---- Beatport ----
"beatport_last_genre": "melodic-house-techno", # ultimo genere Top 100 caricato
# ---- Traxsource ----
"traxsource_last_genre": "tech-house",
# ---- Music Search (Spotify + YouTube) ----
"spotify_search_last_query": "",
"spotify_search_artist_mode": False,
"youtube_search_last_query": "",
# ---- Dedup (audio duplicati via Chromaprint) ----
"dedup_last_folder": "",
"dedup_recursive": True,
"dedup_method": "fingerprint", # "fingerprint" | "filename"
# ---- Cataloga (AcoustID -> <Anno>/<Genere>/) ----
"catalog_last_source": "",
"catalog_last_target": "",
"catalog_recursive": True,
"acoustid_app_key": "", # opzionale: se vuoto usa default in core/acoustid.py
# ---- Charts (iTunes RSS + Last.fm + Spotify + M2O) ----
"charts_last_source": "itunes", # "itunes" | "spotify" | "m2o" | "lastfm"
"charts_itunes_country": "it", # "it" | "us" | "gb" | "ww"
"charts_lastfm_decade": "90s", # "" | "70s" | "80s" | "90s" | "2000s" | "2010s"
"charts_lastfm_genre": "dance", # "" | pop, rock, dance, ...
"charts_spotify_playlist": "top50_global", # chiave in charts._SPOTIFY_CHARTS
"lastfm_api_key": "", # opzionale: override della chiave demo
# ---- Licenza ----
"license_key": "", # chiave fornita all'utente via email
"license_email": "", # email associata all'acquisto
+176
View File
@@ -0,0 +1,176 @@
"""Conversione WAV -> MP3 via ffmpeg subprocess."""
from __future__ import annotations
import re
import subprocess
import threading
from pathlib import Path
from typing import Callable, Optional
from core.paths import find_ffmpeg_dir, subprocess_flags
_stop_event = threading.Event()
_current_process: Optional[subprocess.Popen] = None
_process_lock = threading.Lock()
def request_stop() -> None:
_stop_event.set()
with _process_lock:
if _current_process and _current_process.poll() is None:
_current_process.terminate()
def reset_stop() -> None:
_stop_event.clear()
def is_stopped() -> bool:
return _stop_event.is_set()
# VBR quality mapping da bitrate label a -q:a (libmp3lame). Piu basso = migliore qualita.
# Vedi https://trac.ffmpeg.org/wiki/Encode/MP3
_VBR_QUALITY = {
128: 5,
192: 2,
256: 0,
320: 0, # V0 e' ~245k medio; per >V0 c'e' solo CBR 320
}
def _find_ffmpeg() -> str:
"""Trova il binario ffmpeg dentro bundle_bin o PATH.
Solleva RuntimeError se non trovato.
"""
ffmpeg_dir = find_ffmpeg_dir()
if ffmpeg_dir:
for name in ("ffmpeg", "ffmpeg.exe"):
p = Path(ffmpeg_dir) / name
if p.exists():
return str(p)
# Fallback PATH
import shutil
ff = shutil.which("ffmpeg")
if ff:
return ff
raise RuntimeError("ffmpeg non trovato nel bundle o nel PATH")
def convert_wav_to_mp3(
input_path: str,
output_path: str,
bitrate: int = 320,
vbr: bool = False,
progress_callback: Optional[Callable] = None,
) -> None:
"""Converte un file WAV in MP3.
Args:
input_path: file .wav sorgente
output_path: file .mp3 destinazione
bitrate: 128 / 192 / 256 / 320
vbr: True per Variable Bit Rate (-q:a), False per Constant (-b:a)
progress_callback: opzionale, chiamato con (percent 0..100)
Raises:
RuntimeError: se ffmpeg non trovato o exit non-zero.
FileNotFoundError: se input_path non esiste.
"""
src = Path(input_path)
if not src.exists():
raise FileNotFoundError(f"File sorgente non trovato: {input_path}")
dst = Path(output_path)
dst.parent.mkdir(parents=True, exist_ok=True)
ffmpeg = _find_ffmpeg()
cmd = [ffmpeg, "-y", "-i", str(src)]
if vbr:
quality = _VBR_QUALITY.get(bitrate, 2)
cmd.extend(["-c:a", "libmp3lame", "-q:a", str(quality)])
else:
cmd.extend(["-c:a", "libmp3lame", "-b:a", f"{bitrate}k"])
cmd.extend([
"-map_metadata", "0", # copia metadata WAV se presenti
"-id3v2_version", "3",
"-progress", "pipe:2", # progress su stderr in formato key=value
str(dst),
])
# Prova a ottenere la durata totale per calcolare % — leggendo lo stream INFO
duration_us = _probe_duration_us(ffmpeg, str(src))
global _current_process
with _process_lock:
_current_process = subprocess.Popen(
cmd,
stdout=subprocess.DEVNULL,
stderr=subprocess.PIPE,
text=True,
bufsize=1,
**subprocess_flags(),
)
proc = _current_process
try:
for line in proc.stderr:
if is_stopped():
proc.terminate()
if progress_callback:
progress_callback(-1) # segnale di interruzione
return
if not progress_callback or not duration_us:
continue
# ffmpeg -progress emette "out_time_us=<microsecondi>"
m = re.match(r"out_time_us=(\d+)", line.strip())
if m:
elapsed = int(m.group(1))
pct = min(100, int(elapsed * 100 / duration_us))
progress_callback(pct)
rc = proc.wait()
if rc != 0:
raise RuntimeError(f"ffmpeg exit {rc}")
if progress_callback:
progress_callback(100)
finally:
with _process_lock:
_current_process = None
def _probe_duration_us(ffmpeg: str, input_path: str) -> int:
"""Estrae la durata in microsecondi via ffmpeg -f null. Ritorna 0 se non riesce."""
try:
# ffprobe potrebbe non essere sempre bundlato; usa ffmpeg
result = subprocess.run(
[ffmpeg, "-i", input_path, "-f", "null", "-"],
capture_output=True,
text=True,
timeout=10,
**subprocess_flags(),
)
# Cerca "Duration: HH:MM:SS.ms"
m = re.search(r"Duration:\s+(\d+):(\d+):(\d+)\.(\d+)", result.stderr)
if m:
h, mi, s, ms = map(int, m.groups())
total_sec = h * 3600 + mi * 60 + s + ms / 100
return int(total_sec * 1_000_000)
except Exception:
pass
return 0
def list_wav_files(directory: str, recursive: bool = True) -> list:
"""Scan cartella per file .wav. Ritorna list di path stringa ordinati."""
root = Path(directory)
if not root.is_dir():
return []
pattern = "**/*.wav" if recursive else "*.wav"
return sorted(str(p) for p in root.glob(pattern) if p.is_file())
+518
View File
@@ -0,0 +1,518 @@
"""Deduplicator audio via Chromaprint fingerprinting + SQLite cache.
Pipeline:
1. Scansiona la cartella (opzionalmente ricorsivo) filtrando per
estensioni audio (AUDIO_EXTENSIONS di core.upgrader).
2. Per ogni file calcola il fingerprint Chromaprint (`fpcalc -json`).
Il valore viene messo in cache SQLite: al re-scan, se
(size, mtime) coincide col record, riusiamo il fingerprint senza
rilanciare fpcalc.
3. Raggruppa i file per fingerprint identico (>= 2 file). Per ogni
gruppo, i file vengono ordinati per bitrate DESC (tie-break: size
DESC): il primo e' quello "da tenere", gli altri i duplicati.
4. `move_to_trash` invia i path selezionati al cestino di sistema
tramite send2trash (reversibile via Finder/Explorer).
Progress callback firma:
(processed: int, total: int, filename: str, status: str)
Status validi: 'scanning' | 'computing' | 'cached' | 'error' | 'stopped'
| 'completed'.
"""
from __future__ import annotations
import json
import sqlite3
import subprocess
import threading
from pathlib import Path
from typing import Callable, Optional
from core.paths import find_fpcalc, subprocess_flags
from core.upgrader import AUDIO_EXTENSIONS, get_bitrate
# Timeout massimo per una singola invocazione fpcalc.
_FPCALC_TIMEOUT_SEC = 30
# ------------------------------------------------------------------
# Stop / interrupt
# ------------------------------------------------------------------
_stop_event = threading.Event()
def request_stop() -> None:
"""Segnala al worker di interrompere la scansione al prossimo file."""
_stop_event.set()
def reset_stop() -> None:
"""Azzera il flag di stop prima di iniziare una nuova scansione."""
_stop_event.clear()
def is_stopped() -> bool:
return _stop_event.is_set()
# ------------------------------------------------------------------
# Cache SQLite
# ------------------------------------------------------------------
def _cache_db_path() -> Path:
"""Path del DB di cache dei fingerprint.
Riusa `_get_config_dir` di core.config cosi' finisce nella stessa
cartella di config.json (~/Library/Application Support/MusicTools/
su macOS, %APPDATA%/MusicTools/ su Windows, project root in dev).
"""
from core.config import _get_config_dir
return _get_config_dir() / "dedup_cache.db"
def _init_db(conn: sqlite3.Connection) -> None:
"""Crea (idempotente) lo schema della cache."""
conn.execute(
"""
CREATE TABLE IF NOT EXISTS files (
path TEXT PRIMARY KEY,
size INTEGER NOT NULL,
mtime REAL NOT NULL,
duration REAL,
fingerprint TEXT,
bitrate INTEGER
)
"""
)
conn.commit()
def _open_cache(db_path: Optional[Path] = None) -> sqlite3.Connection:
"""Apre (creando se serve) la connessione alla cache."""
p = db_path or _cache_db_path()
p.parent.mkdir(parents=True, exist_ok=True)
conn = sqlite3.connect(str(p))
_init_db(conn)
return conn
def _cache_get(conn: sqlite3.Connection, path: str,
size: int, mtime: float) -> Optional[dict]:
"""Ritorna il record se (size, mtime) invariato, altrimenti None."""
cur = conn.execute(
"SELECT size, mtime, duration, fingerprint, bitrate FROM files WHERE path = ?",
(path,),
)
row = cur.fetchone()
if not row:
return None
csize, cmtime, dur, fp, br = row
# Tolleranza minima sul mtime (float precision su alcuni FS)
if csize != size or abs(float(cmtime) - float(mtime)) > 0.001:
return None
if not fp:
return None
return {
"size": int(csize),
"mtime": float(cmtime),
"duration": float(dur) if dur is not None else 0.0,
"fingerprint": str(fp),
"bitrate": int(br) if br is not None else 0,
}
def _cache_put(conn: sqlite3.Connection, path: str, size: int, mtime: float,
duration: float, fingerprint: str, bitrate: int) -> None:
"""Upsert (SQLite ha ON CONFLICT REPLACE via INSERT OR REPLACE)."""
conn.execute(
"INSERT OR REPLACE INTO files (path, size, mtime, duration, fingerprint, bitrate)"
" VALUES (?, ?, ?, ?, ?, ?)",
(path, int(size), float(mtime), float(duration or 0),
str(fingerprint or ""), int(bitrate or 0)),
)
conn.commit()
# ------------------------------------------------------------------
# fpcalc
# ------------------------------------------------------------------
def _run_fpcalc(fpcalc: str, path: str, length: Optional[int] = None) -> dict:
"""Esegue fpcalc una volta. Ritorna {duration, fingerprint} su successo
o {_error: str} su fallimento."""
cmd = [fpcalc, "-json"]
if length is not None:
cmd += ["-length", str(length)]
cmd.append(str(path))
try:
proc = subprocess.run(
cmd,
capture_output=True,
text=True,
timeout=_FPCALC_TIMEOUT_SEC,
**subprocess_flags(),
)
except subprocess.TimeoutExpired:
return {"_error": f"timeout {_FPCALC_TIMEOUT_SEC}s"}
except (OSError, ValueError) as e:
return {"_error": f"subprocess: {e}"}
if proc.returncode != 0:
err = (proc.stderr or proc.stdout or "").strip().splitlines()
msg = err[-1] if err else f"exit {proc.returncode}"
return {"_error": msg[:200]}
try:
data = json.loads(proc.stdout or "{}")
except (json.JSONDecodeError, ValueError) as e:
return {"_error": f"JSON malformato: {e}"}
fp = data.get("fingerprint")
if not fp:
return {"_error": "fingerprint vuoto (audio troppo corto?)"}
try:
dur = float(data.get("duration") or 0)
except (TypeError, ValueError):
dur = 0.0
return {"duration": dur, "fingerprint": str(fp)}
def compute_fingerprint(fpcalc: str, path: str) -> Optional[dict]:
"""Chiama fpcalc e ritorna {duration, fingerprint} o {_error}.
Se il primo tentativo (full length) fallisce con "Invalid data" o simili
(frame audio corrotti che libav rifiuta), riprova con `-length 30`.
Molti file danneggiati hanno i frame corrotti nella parte finale e
limitando la scansione ai primi 30s si riesce a estrarre comunque
un fingerprint affidabile (30s bastano per l'unicità Chromaprint).
"""
if not fpcalc:
return {"_error": "fpcalc non trovato nel bundle"}
res = _run_fpcalc(fpcalc, path)
if "fingerprint" in res:
return res
err_msg = res.get("_error", "").lower()
# Retry 1: frame audio corrotti → riduci finestra a 30s
corrupt_signals = ("invalid data", "decoding audio frame",
"error while decoding", "invalid frame")
if any(sig in err_msg for sig in corrupt_signals):
res2 = _run_fpcalc(fpcalc, path, length=30)
if "fingerprint" in res2:
res2["_partial"] = True # 30s soltanto
return res2
# Retry 2: fingerprint vuoto → prova con finestra piu' lunga (60s)
# nel caso l'intro sia silenzio/muto (chromaprint richiede audio "reale")
if "vuoto" in err_msg or "empty" in err_msg:
res2 = _run_fpcalc(fpcalc, path, length=60)
if "fingerprint" in res2:
res2["_partial"] = True
return res2
# Ancora vuoto → prova algoritmo differente (chromaprint algo 1)
# tramite subprocess diretto perche' _run_fpcalc non lo supporta
try:
proc = subprocess.run(
[fpcalc, "-json", "-length", "60", "-algorithm", "1", str(path)],
capture_output=True, text=True,
timeout=_FPCALC_TIMEOUT_SEC,
**subprocess_flags(),
)
if proc.returncode == 0:
data = json.loads(proc.stdout or "{}")
fp = data.get("fingerprint")
if fp:
return {
"duration": float(data.get("duration") or 0),
"fingerprint": str(fp),
"_partial": True,
}
except Exception:
pass
return res
# ------------------------------------------------------------------
# Scan
# ------------------------------------------------------------------
def _iter_audio_files(directory: str, recursive: bool) -> list[Path]:
"""Elenca tutti i file audio (estensione case-insensitive)."""
base = Path(directory)
if not base.exists() or not base.is_dir():
return []
files: list[Path] = []
if recursive:
for f in base.rglob("*"):
if f.is_file() and f.suffix.lower() in AUDIO_EXTENSIONS:
files.append(f)
else:
for f in base.iterdir():
if f.is_file() and f.suffix.lower() in AUDIO_EXTENSIONS:
files.append(f)
files.sort()
return files
def _scan_by_filename(files: list, progress_callback: Optional[Callable],
group_callback: Optional[Callable] = None,
similarity_threshold: float = 0.8) -> list[list[dict]]:
"""Raggruppa file per similarità nome (Jaccard sui token normalizzati),
algoritmo INCREMENTALE: per ogni nuovo file cerca match tra i gruppi già
formati (lookup O(K) dove K = numero gruppi). Emette streaming via
`group_callback` appena un gruppo raggiunge ≥ 2 file.
"""
from core.upgrader import _normalize_stem # riuso
def _pc(idx, total_n, name, status, err=""):
if not progress_callback:
return
try:
progress_callback(idx, total_n, name, status, err)
except TypeError:
progress_callback(idx, total_n, name, status)
def _gc(group_id: str, entries: list) -> None:
if group_callback:
try:
group_callback({"id": group_id, "entries": list(entries)})
except Exception:
pass
total = len(files)
# Ogni voce: {"id": str, "key_tokens": frozenset, "entries": [dict]}
groups: list = []
for i, fp_path in enumerate(files, start=1):
if is_stopped():
_pc(i - 1, total, "", "stopped")
break
try:
size = fp_path.stat().st_size
except OSError as e:
_pc(i, total, fp_path.name, "error", f"stat: {e}")
continue
tokens = frozenset(_normalize_stem(fp_path.stem))
if not tokens:
_pc(i, total, fp_path.name, "error", "nome senza token utili")
continue
try:
bitrate = get_bitrate(fp_path)
except Exception:
bitrate = 0
entry = {
"path": str(fp_path), "size": size, "bitrate": bitrate,
"duration": 0, "fingerprint": "",
}
# Cerca match nei gruppi già formati (lineare sui gruppi, non sui file)
matched = None
for g in groups:
common = len(tokens & g["key_tokens"])
if common == 0:
continue
union = len(tokens | g["key_tokens"])
if union > 0 and (common / union) >= similarity_threshold:
matched = g
break
if matched is not None:
was_solo = len(matched["entries"]) == 1
matched["entries"].append(entry)
matched["entries"].sort(key=lambda e: (-e["bitrate"], -e["size"]))
# Streaming: emit ogni volta che il gruppo diventa/rimane ≥ 2 file
_gc(matched["id"], matched["entries"])
else:
gid = f"fn_{len(groups)}_{fp_path.stem[:20]}"
groups.append({
"id": gid,
"key_tokens": set(tokens),
"entries": [entry],
})
_pc(i, total, fp_path.name, "cached")
# Ritorna solo i gruppi con >= 2 file
result = [sorted(g["entries"], key=lambda e: (-e["bitrate"], -e["size"]))
for g in groups if len(g["entries"]) >= 2]
result.sort(key=lambda g: -max(e["size"] for e in g))
_pc(total, total, "", "completed")
return result
def scan_folder(
directory: str,
recursive: bool = True,
progress_callback: Optional[Callable] = None,
method: str = "fingerprint",
group_callback: Optional[Callable] = None,
) -> list[list[dict]]:
"""Ritorna la lista di gruppi di file duplicati (>= 2 file).
Ogni file nel gruppo e' un dict:
{path, size, bitrate, duration, fingerprint}
Gruppi ordinati per size del file piu' grande DESC (i gruppi che
occupano piu' spazio vengono prima). All'interno di ogni gruppo:
bitrate DESC, poi size DESC (il primo e' quello "da tenere").
`method`:
- "fingerprint" (default): Chromaprint via fpcalc, preciso ma lento.
Cache SQLite persistente. Raggruppa per fingerprint identico.
- "filename": similarità Jaccard sui nomi file. Veloce ma euristico.
Non richiede fpcalc.
"""
reset_stop()
files = _iter_audio_files(directory, recursive)
total = len(files)
if total == 0:
if progress_callback:
progress_callback(0, 0, "", "completed")
return []
if method == "filename":
return _scan_by_filename(files, progress_callback, group_callback)
fpcalc = find_fpcalc()
if not fpcalc:
# Senza fpcalc non possiamo fare nulla. Segnaliamo errore su ogni
# file e ritorniamo lista vuota.
if progress_callback:
progress_callback(0, total, "", "error")
return []
conn = _open_cache()
try:
# {fingerprint: [entry, ...]}
by_fp: dict[str, list[dict]] = {}
def _pc(idx, total_n, name, status, err=""):
"""Chiama progress_callback in modo retrocompatibile: la firma
legacy è a 4 args, quella nuova a 5 con `error_msg` opzionale."""
if not progress_callback:
return
try:
progress_callback(idx, total_n, name, status, err)
except TypeError:
progress_callback(idx, total_n, name, status)
for i, fp_path in enumerate(files, start=1):
if is_stopped():
_pc(i - 1, total, "", "stopped")
return []
try:
st = fp_path.stat()
size = st.st_size
mtime = st.st_mtime
except OSError as e:
_pc(i, total, fp_path.name, "error", f"stat: {e}")
continue
path_str = str(fp_path)
cached = _cache_get(conn, path_str, size, mtime)
if cached:
fp_hash = cached["fingerprint"]
duration = cached["duration"]
bitrate = cached["bitrate"] or get_bitrate(fp_path)
_pc(i, total, fp_path.name, "cached")
else:
_pc(i, total, fp_path.name, "computing")
res = compute_fingerprint(fpcalc, path_str)
if not res or not res.get("fingerprint"):
err_msg = (res or {}).get("_error", "errore sconosciuto")
_pc(i, total, fp_path.name, "error", err_msg)
continue
fp_hash = res["fingerprint"]
duration = res["duration"]
try:
bitrate = get_bitrate(fp_path)
except Exception:
bitrate = 0
_cache_put(conn, path_str, size, mtime, duration, fp_hash, bitrate)
entry = {
"path": path_str,
"size": int(size),
"bitrate": int(bitrate or 0),
"duration": float(duration or 0),
"fingerprint": fp_hash,
}
grp = by_fp.setdefault(fp_hash, [])
grp.append(entry)
# Streaming: appena il gruppo raggiunge (o supera) 2 elementi,
# emetti update (JS accumula/aggiorna in tempo reale)
if group_callback and len(grp) >= 2:
# Ordinamento intra-gruppo prima di emit (best-to-keep primo)
grp.sort(key=lambda e: (-int(e.get("bitrate") or 0),
-int(e.get("size") or 0)))
try:
group_callback({
"id": f"fp_{fp_hash[:24]}",
"entries": list(grp),
})
except Exception:
pass
finally:
try:
conn.close()
except Exception:
pass
# Filtra: solo gruppi con >= 2 file
groups = [g for g in by_fp.values() if len(g) >= 2]
# Sort dei file dentro il gruppo: bitrate DESC, size DESC.
# Sort dei gruppi: size del file piu' grande DESC (usa max del gruppo).
for g in groups:
g.sort(key=lambda e: (-int(e.get("bitrate") or 0),
-int(e.get("size") or 0)))
groups.sort(key=lambda g: -max(int(e.get("size") or 0) for e in g))
if progress_callback:
progress_callback(total, total, "", "completed")
return groups
# ------------------------------------------------------------------
# Trash
# ------------------------------------------------------------------
def move_to_trash(paths: list[str]) -> dict:
"""Sposta i file in cestino tramite send2trash.
Ritorna {moved: [...], failed: [{path, error}, ...]}. Non solleva
mai eccezioni: gli errori per file singolo finiscono in `failed`.
Aggiorna la cache SQLite rimuovendo i record dei file spostati (per
quelli riusciti), cosi' un re-scan non li propone piu'.
"""
# Import interno per rendere il modulo importabile anche se
# send2trash non e' installato (i test possono mockarlo).
try:
from send2trash import send2trash
except Exception as e: # pragma: no cover — solo se pacchetto mancante
return {
"moved": [],
"failed": [{"path": p, "error": f"send2trash non disponibile: {e}"}
for p in (paths or [])],
}
moved: list[str] = []
failed: list[dict] = []
for p in (paths or []):
try:
send2trash(p)
moved.append(p)
except Exception as e:
failed.append({"path": p, "error": str(e)})
# Cache cleanup best-effort (non fatale se fallisce)
if moved:
try:
conn = _open_cache()
try:
for p in moved:
conn.execute("DELETE FROM files WHERE path = ?", (p,))
conn.commit()
finally:
conn.close()
except Exception:
pass
return {"moved": moved, "failed": failed}
+212 -14
View File
@@ -12,6 +12,29 @@ from typing import Callable, Optional
from core.paths import find_ytdlp, find_ffmpeg_dir, subprocess_flags
_ALLOWED_BROWSERS = {"chrome", "safari", "firefox", "edge", "brave", "chromium", "opera", "vivaldi"}
def _cookie_args(cookies_path: Optional[str]) -> list:
"""Ritorna gli argomenti yt-dlp per i cookies.
Priorità: file cookies_path se esiste → altrimenti --cookies-from-browser
<name> se `cookies_browser` è settato in config → altrimenti niente.
"""
if cookies_path and Path(cookies_path).exists():
return ["--cookies", cookies_path]
# Fallback: legge il browser dalla config al volo (evita di cambiare
# firma di tutte le funzioni download_*)
try:
from core.config import load_config
browser = (load_config().get("cookies_browser") or "").strip().lower()
except Exception:
browser = ""
if browser in _ALLOWED_BROWSERS:
return ["--cookies-from-browser", browser]
return []
# Flag globale per interruzione
_stop_event = threading.Event()
_current_process: Optional[subprocess.Popen] = None
@@ -99,8 +122,7 @@ def _search_youtube(query: str, cookies_path: Optional[str] = None) -> tuple[str
"--no-warnings",
"--flat-playlist",
]
if cookies_path and Path(cookies_path).exists():
cmd.extend(["--cookies", cookies_path])
cmd.extend(_cookie_args(cookies_path))
result = subprocess.run(cmd, capture_output=True, text=True, timeout=30, **subprocess_flags())
if result.returncode != 0:
@@ -121,6 +143,8 @@ def download_playlist(
bitrate: str = "320K",
cookies_path: Optional[str] = None,
progress_callback: Optional[Callable] = None,
output_filenames: Optional[list] = None,
post_download_callback: Optional[Callable] = None,
) -> None:
"""Scarica tutti i brani dalla lista di tracce.
@@ -130,6 +154,12 @@ def download_playlist(
bitrate: qualita audio (es. "320K")
cookies_path: percorso file cookies (opzionale)
progress_callback: callback(track_index, total, track_name, status, percent)
output_filenames: opzionale, parallelo a `tracks`. Se presente e non
vuoto per l'indice i, yt-dlp scrive `<output_filenames[i]>.mp3`
invece di usare il titolo YouTube. Passa gia' sanitizzato.
post_download_callback: opzionale, chiamato come `(i, filepath)`
dopo yt-dlp exit 0 con il path effettivo del file .mp3 salvato.
Usato per tagging ID3 post-download.
"""
reset_stop()
total = len(tracks)
@@ -183,6 +213,15 @@ def download_playlist(
if progress_callback:
progress_callback(i, total, query, "downloading", 0)
# Nome file custom (per tagging: "Artista - Titolo") oppure titolo YouTube grezzo
custom_stem = ""
if output_filenames and i < len(output_filenames):
custom_stem = (output_filenames[i] or "").strip()
if custom_stem:
out_template = str(Path(output_dir) / f"{custom_stem}.%(ext)s")
else:
out_template = str(Path(output_dir) / "%(title)s.%(ext)s")
# Scarica con yt-dlp subprocess
cmd = [
ytdlp,
@@ -193,14 +232,13 @@ def download_playlist(
"--add-metadata",
"--no-check-certificates",
"--newline",
"--output", str(Path(output_dir) / "%(title)s.%(ext)s"),
"--output", out_template,
video_url,
]
ffmpeg_dir = find_ffmpeg_dir()
if ffmpeg_dir:
cmd.extend(["--ffmpeg-location", ffmpeg_dir])
if cookies_path and Path(cookies_path).exists():
cmd.extend(["--cookies", cookies_path])
cmd.extend(_cookie_args(cookies_path))
try:
with _process_lock:
@@ -209,6 +247,7 @@ def download_playlist(
**subprocess_flags(),
)
last_lines: list = [] # buffer per capire l'errore se exit != 0
for line in _current_process.stdout:
if is_stopped():
_current_process.terminate()
@@ -216,6 +255,13 @@ def download_playlist(
progress_callback(i, total, query, "stopped", 0)
return
# Tieni le ultime 10 righe non-progress per il report d'errore
stripped = line.strip()
if stripped and not re.match(r"^\[download\]\s+\d", stripped):
last_lines.append(stripped)
if len(last_lines) > 10:
last_lines.pop(0)
# Parse progress da output yt-dlp
pct_match = re.search(r"(\d+(?:\.\d+)?)%", line)
if pct_match and progress_callback:
@@ -231,11 +277,26 @@ def download_playlist(
_mark_done(done_file, query)
done_set.add(query)
existing_files = _scan_existing_files(out_path)
if post_download_callback and custom_stem:
mp3_path = Path(output_dir) / f"{custom_stem}.mp3"
try:
post_download_callback(i, str(mp3_path))
except Exception:
pass
if progress_callback:
progress_callback(i, total, query, "done", 100)
else:
# Estrai la vera causa da last_lines: cerca la riga ERROR di yt-dlp
err_hint = ""
for l in reversed(last_lines):
if "ERROR" in l or "error" in l:
err_hint = l[:220]
break
if not err_hint and last_lines:
err_hint = last_lines[-1][:220]
detail = f" — {err_hint}" if err_hint else ""
if progress_callback:
progress_callback(i, total, query, f"error: yt-dlp exit {return_code}", 0)
progress_callback(i, total, query, f"error: yt-dlp exit {return_code}{detail}", 0)
except Exception as e:
with _process_lock:
@@ -277,8 +338,7 @@ def download_direct_url(
"--no-warnings",
url,
]
if cookies_path and Path(cookies_path).exists():
probe_cmd.extend(["--cookies", cookies_path])
probe_cmd.extend(_cookie_args(cookies_path))
try:
result = subprocess.run(probe_cmd, capture_output=True, text=True, timeout=60, **subprocess_flags())
@@ -352,8 +412,7 @@ def download_direct_url(
ffmpeg_dir = find_ffmpeg_dir()
if ffmpeg_dir:
cmd.extend(["--ffmpeg-location", ffmpeg_dir])
if cookies_path and Path(cookies_path).exists():
cmd.extend(["--cookies", cookies_path])
cmd.extend(_cookie_args(cookies_path))
try:
with _process_lock:
@@ -399,6 +458,147 @@ def download_direct_url(
progress_callback(total, total, "", "completed", 100)
def download_urls(
urls: list,
titles: list,
output_dir: str,
bitrate: str = "320K",
cookies_path: Optional[str] = None,
progress_callback: Optional[Callable] = None,
output_filenames: Optional[list] = None,
post_download_callback: Optional[Callable] = None,
) -> None:
"""Scarica direttamente da URL YouTube (bypassa search).
Usa gli stessi flag yt-dlp di download_playlist. La differenza e che
salta lo step di ricerca perche l'URL e gia noto (usato dal flow del
tab "YouTube Search" dopo che l'utente ha selezionato i risultati).
Args:
urls: lista URL YouTube (parallela a titles)
titles: lista titoli video (per logging/dedupe)
output_dir: cartella destinazione
bitrate: qualita audio (default 320K)
cookies_path: file cookies opzionale
progress_callback: callback(idx, total, title, status, percent)
output_filenames: opzionale, parallelo a `urls`. Se presente e non
vuoto per l'indice i, yt-dlp scrive `<output_filenames[i]>.mp3`
invece di usare il titolo YouTube. Passa gia' sanitizzato.
post_download_callback: opzionale, chiamato come `(i, filepath)`
dopo yt-dlp exit 0 con il path effettivo del file .mp3 salvato.
Usato per tagging ID3 post-download.
"""
global _current_process
reset_stop()
total = len(urls)
out_path = Path(output_dir)
out_path.mkdir(parents=True, exist_ok=True)
done_file = out_path / ".downloaded_tracks"
done_set = _load_done_set(done_file)
existing_files = _scan_existing_files(out_path)
ytdlp = find_ytdlp()
for i, (url, title) in enumerate(zip(urls, titles)):
if is_stopped():
if progress_callback:
progress_callback(i, total, "", "stopped", 0)
return
key = title or url
# Salta se gia scaricato (file di tracking)
if key in done_set:
if progress_callback:
progress_callback(i, total, key, "skipped", 100)
continue
# Salta se esiste gia un file corrispondente nella cartella
if title and _file_exists_for_query(title, existing_files):
_mark_done(done_file, key)
done_set.add(key)
if progress_callback:
progress_callback(i, total, key, "skipped", 100)
continue
if progress_callback:
progress_callback(i, total, key, "downloading", 0)
# Nome file custom (per tagging: "Artista - Titolo") oppure titolo YouTube grezzo
custom_stem = ""
if output_filenames and i < len(output_filenames):
custom_stem = (output_filenames[i] or "").strip()
if custom_stem:
out_template = str(Path(output_dir) / f"{custom_stem}.%(ext)s")
else:
out_template = str(Path(output_dir) / "%(title)s.%(ext)s")
cmd = [
ytdlp,
"--extract-audio",
"--audio-format", "mp3",
"--audio-quality", bitrate.rstrip("Kk"),
"--embed-thumbnail",
"--add-metadata",
"--no-check-certificates",
"--newline",
"--output", out_template,
url,
]
ffmpeg_dir = find_ffmpeg_dir()
if ffmpeg_dir:
cmd.extend(["--ffmpeg-location", ffmpeg_dir])
cmd.extend(_cookie_args(cookies_path))
try:
with _process_lock:
_current_process = subprocess.Popen(
cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True,
**subprocess_flags(),
)
for line in _current_process.stdout:
if is_stopped():
_current_process.terminate()
if progress_callback:
progress_callback(i, total, key, "stopped", 0)
return
pct_match = re.search(r"(\d+(?:\.\d+)?)%", line)
if pct_match and progress_callback:
pct = int(float(pct_match.group(1)))
progress_callback(i, total, key, "downloading", pct)
return_code = _current_process.wait()
with _process_lock:
_current_process = None
if return_code == 0:
_mark_done(done_file, key)
done_set.add(key)
existing_files = _scan_existing_files(out_path)
if post_download_callback and custom_stem:
mp3_path = Path(output_dir) / f"{custom_stem}.mp3"
try:
post_download_callback(i, str(mp3_path))
except Exception:
pass
if progress_callback:
progress_callback(i, total, key, "done", 100)
else:
if progress_callback:
progress_callback(i, total, key, f"error: yt-dlp exit {return_code}", 0)
except Exception as e:
with _process_lock:
_current_process = None
if progress_callback:
progress_callback(i, total, key, f"error: {e}", 0)
if progress_callback and not is_stopped():
progress_callback(total, total, "", "completed", 100)
def _video_format(quality: str) -> str:
"""Costruisce la format string yt-dlp per la qualita richiesta."""
if not quality or quality == "best":
@@ -443,8 +643,7 @@ def download_video(
probe_cmd = [
ytdlp, "--dump-json", "--flat-playlist", "--no-download", "--no-warnings", url,
]
if cookies_path and Path(cookies_path).exists():
probe_cmd.extend(["--cookies", cookies_path])
probe_cmd.extend(_cookie_args(cookies_path))
try:
result = subprocess.run(probe_cmd, capture_output=True, text=True, timeout=60, **subprocess_flags())
@@ -519,8 +718,7 @@ def download_video(
ffmpeg_dir = find_ffmpeg_dir()
if ffmpeg_dir:
cmd.extend(["--ffmpeg-location", ffmpeg_dir])
if cookies_path and Path(cookies_path).exists():
cmd.extend(["--cookies", cookies_path])
cmd.extend(_cookie_args(cookies_path))
try:
with _process_lock:
+156
View File
@@ -0,0 +1,156 @@
"""Appiattisce una cartella: sposta tutti i file audio delle sotto-cartelle
nella cartella padre. Utile come 'undo' di una catalogazione o per unire
archivi frammentati.
Non tocca i file gia' nella root della cartella padre.
Conflitti filename: aggiunge suffisso _1, _2... (mai overwrite).
Opzionalmente rimuove le sotto-cartelle rimaste vuote dopo il move.
"""
from __future__ import annotations
import shutil
import threading
from pathlib import Path
from typing import Callable, Optional
from core.upgrader import AUDIO_EXTENSIONS
_stop_event = threading.Event()
def request_stop() -> None:
_stop_event.set()
def reset_stop() -> None:
_stop_event.clear()
def is_stopped() -> bool:
return _stop_event.is_set()
def _iter_audio_in_subfolders(parent: Path) -> list:
"""Enumera i file audio in TUTTE le sotto-cartelle (ricorsivo) escludendo
quelli gia' nella root del `parent`."""
if not parent.is_dir():
return []
files: list = []
for f in parent.rglob("*"):
if not f.is_file():
continue
if f.suffix.lower() not in AUDIO_EXTENSIONS:
continue
if f.parent.resolve() == parent.resolve():
continue # gia' nella root
files.append(f)
files.sort()
return files
def _unique_dst(dst: Path) -> Path:
"""Restituisce un path non-esistente aggiungendo `_1`, `_2`... se serve."""
if not dst.exists():
return dst
stem = dst.stem
suffix = dst.suffix
i = 1
while True:
candidate = dst.parent / f"{stem}_{i}{suffix}"
if not candidate.exists():
return candidate
i += 1
def _remove_empty_dirs(parent: Path) -> int:
"""Rimuove ricorsivamente tutte le sotto-cartelle vuote di `parent`.
Non tocca `parent` stessa. Ritorna il numero di dir rimosse."""
removed = 0
for p in sorted(parent.rglob("*"), key=lambda x: len(str(x)), reverse=True):
if not p.is_dir():
continue
if p.resolve() == parent.resolve():
continue
try:
# rimuove .DS_Store residui che impediscono rmdir
for junk in p.glob(".DS_Store"):
try: junk.unlink()
except Exception: pass
p.rmdir()
removed += 1
except OSError:
pass # non vuota o senza permessi
return removed
def flatten_folder(
parent_dir: str,
remove_empty: bool = True,
progress_callback: Optional[Callable] = None,
log_callback: Optional[Callable] = None,
) -> dict:
"""Sposta tutti i file audio delle sotto-cartelle in `parent_dir`.
Args:
parent_dir: cartella padre di destinazione
remove_empty: se True, elimina le sotto-cartelle rimaste vuote
progress_callback: (idx, total, filename, status[, err]) — status:
'scanning' | 'moving' | 'skipped' | 'error' | 'stopped' | 'completed'
log_callback: chiamato con {src, dst} per ogni move riuscito
Ritorna:
{moved, skipped, failed: [{path, error}], operations: [{src, dst}],
dirs_removed}
"""
reset_stop()
parent = Path(parent_dir)
result = {
"moved": 0,
"skipped": 0,
"failed": [],
"operations": [],
"dirs_removed": 0,
}
if not parent.is_dir():
return result
files = _iter_audio_in_subfolders(parent)
total = len(files)
def _pc(idx, name, status, err=""):
if not progress_callback:
return
try:
progress_callback(idx, total, name, status, err)
except TypeError:
progress_callback(idx, total, name, status)
for i, src in enumerate(files, start=1):
if is_stopped():
_pc(i - 1, "", "stopped")
break
dst = _unique_dst(parent / src.name)
try:
shutil.move(str(src), str(dst))
result["moved"] += 1
op = {"src": str(src), "dst": str(dst)}
result["operations"].append(op)
if log_callback:
try:
log_callback(op)
except Exception:
pass
_pc(i, src.name, "moving")
except Exception as e:
result["failed"].append({"path": str(src), "error": str(e)})
_pc(i, src.name, "error", str(e))
if remove_empty and not is_stopped():
result["dirs_removed"] = _remove_empty_dirs(parent)
_pc(total, "", "completed")
return result
+173
View File
@@ -14,6 +14,7 @@ from mutagen import File as MutagenFile
from mutagen.id3 import (
ID3, ID3NoHeaderError,
APIC, TIT2, TPE1, TPE2, TALB, TDRC, TRCK, TCON, COMM, TBPM, TKEY,
USLT, WOAS,
)
from mutagen.mp4 import MP4, MP4Cover
from mutagen.flac import FLAC, Picture
@@ -84,6 +85,69 @@ def _text(value) -> str:
return str(value)
_AI_MARKERS = {
"suno": ["suno.com", "made with suno", "sunoai"],
"udio": ["udio.com", "made with udio"],
"riffusion": ["riffusion.com", "made with riffusion"],
"mubert": ["mubert.com", "made with mubert"],
"aiva": ["aiva.ai"],
"boomy": ["boomy.com", "made with boomy"],
"soundraw": ["soundraw.io"],
"loudly": ["loudly.com"],
}
def _detect_ai(comment: str, source_url: str, extra: str = "") -> tuple:
"""Ritorna (is_ai: bool, source_name: str). Case-insensitive.
`extra` = altre stringhe da controllare (es. presenza C2PA manifest)."""
blob = f"{comment} {source_url} {extra}".lower()
for source, markers in _AI_MARKERS.items():
for m in markers:
if m in blob:
return True, source
if "c2pa" in blob:
return True, ""
return False, ""
def _dump_id3_frames(tags) -> list:
"""Lista compatta di tutti i frame ID3 (esclusa APIC binaria).
Ogni voce: {key, preview, size, kind}. Utile per audit AI-generated."""
out = []
for key in tags.keys():
try:
frame = tags[key]
except Exception:
continue
kind = "text"
preview = ""
size = 0
if key.startswith("APIC"):
kind = "binary"
preview = f"{frame.mime or 'image'} ({len(frame.data)} bytes)"
size = len(frame.data)
elif key.startswith("GEOB"):
kind = "binary"
data = getattr(frame, "data", b"") or b""
desc = getattr(frame, "desc", "") or ""
mime = getattr(frame, "mime", "") or ""
preview = f"{desc or mime or 'blob'} ({len(data)} bytes)"
size = len(data)
elif key.startswith("USLT"):
txt = getattr(frame, "text", "") or ""
preview = txt[:180] + ("…" if len(txt) > 180 else "")
size = len(txt)
elif key.startswith("WOAS") or key.startswith("WXXX") or key.startswith("WOAR"):
preview = getattr(frame, "url", "") or str(frame)
size = len(preview)
else:
txt = str(frame)
preview = txt[:180] + ("…" if len(txt) > 180 else "")
size = len(txt)
out.append({"key": key, "preview": preview, "size": size, "kind": kind})
return out
def _read_mp3(path: str, result: dict) -> dict:
result["format"] = "MP3"
try:
@@ -91,6 +155,8 @@ def _read_mp3(path: str, result: dict) -> dict:
except ID3NoHeaderError:
return result
result["raw_frames"] = _dump_id3_frames(tags)
result["title"] = _text(tags.get("TIT2"))
result["artist"] = _text(tags.get("TPE1"))
result["album_artist"] = _text(tags.get("TPE2"))
@@ -100,12 +166,19 @@ def _read_mp3(path: str, result: dict) -> dict:
result["genre"] = _text(tags.get("TCON"))
result["bpm"] = _text(tags.get("TBPM"))
result["key"] = _text(tags.get("TKEY"))
result["source_url"] = _text(tags.get("WOAS"))
for k in tags.keys():
if k.startswith("COMM"):
result["comment"] = _text(tags[k])
break
for k in tags.keys():
if k.startswith("USLT"):
frame = tags[k]
result["lyrics"] = getattr(frame, "text", "") or ""
break
for k in tags.keys():
if k.startswith("APIC"):
apic = tags[k]
@@ -113,13 +186,44 @@ def _read_mp3(path: str, result: dict) -> dict:
result["cover_mime"] = apic.mime or "image/jpeg"
break
# AI detection: C2PA manifest (GEOB frame) o markers testuali
has_c2pa = any("c2pa" in k.lower() for k in tags.keys())
result["ai_generated"], result["ai_source"] = _detect_ai(
result["comment"], result["source_url"], "c2pa" if has_c2pa else "",
)
return result
def _dump_mp4_atoms(tags) -> list:
out = []
for key, val in tags.items():
preview = ""
kind = "text"
size = 0
if key == "covr":
kind = "binary"
data = bytes(val[0]) if val else b""
preview = f"cover ({len(data)} bytes)"
size = len(data)
else:
try:
preview = str(val[0] if isinstance(val, list) and val else val)
except Exception:
preview = "<binary>"
if isinstance(preview, str):
size = len(preview)
if len(preview) > 180:
preview = preview[:180] + "…"
out.append({"key": key, "preview": preview, "size": size, "kind": kind})
return out
def _read_mp4(path: str, result: dict) -> dict:
result["format"] = "M4A/MP4"
m = MP4(path)
tags = m.tags or {}
result["raw_frames"] = _dump_mp4_atoms(tags)
result["title"] = _text(tags.get("\xa9nam"))
result["artist"] = _text(tags.get("\xa9ART"))
result["album_artist"] = _text(tags.get("aART"))
@@ -132,12 +236,24 @@ def _read_mp4(path: str, result: dict) -> dict:
result["genre"] = _text(tags.get("\xa9gen"))
result["comment"] = _text(tags.get("\xa9cmt"))
result["bpm"] = _text(tags.get("tmpo"))
result["lyrics"] = _text(tags.get("\xa9lyr"))
# M4A non ha WOAS: cerchiamo in freeform ----:com.apple.iTunes:URL
for k in tags.keys():
if isinstance(k, str) and k.startswith("----") and "URL" in k.upper():
v = tags[k]
if v:
result["source_url"] = v[0].decode("utf-8", errors="ignore") if isinstance(v[0], bytes) else str(v[0])
break
covers = tags.get("covr")
if covers:
c = covers[0]
result["cover_base64"] = base64.b64encode(bytes(c)).decode("ascii")
result["cover_mime"] = "image/jpeg" if c.imageformat == MP4Cover.FORMAT_JPEG else "image/png"
result["ai_generated"], result["ai_source"] = _detect_ai(
result["comment"], result["source_url"],
)
return result
@@ -292,8 +408,13 @@ def read_metadata(path: str) -> dict:
"bpm": "", "key": "",
"duration": 0, "bitrate": 0,
"cover_base64": "", "cover_mime": "",
"lyrics": "", # USLT (MP3), \xa9lyr (M4A), UNSYNCEDLYRICS (FLAC)
"source_url": "", # WOAS (MP3), custom (altri) — es. URL Suno
"ai_generated": False, # True se rilevato marker AI (C2PA, "made with suno"...)
"ai_source": "", # es. "suno", "udio", "riffusion" — sorgente dedotta
"where_from": _read_where_from(str(p)),
"is_macos": sys.platform == "darwin",
"raw_frames": [], # list of {key, preview, size, kind} — tutti i frame ID3/atomi
}
audio = MutagenFile(str(p))
@@ -346,6 +467,22 @@ def _write_mp3(path: str, data: dict, cover_path: Optional[str], remove_cover: b
if comment:
tags.add(COMM(encoding=3, lang="ita", desc="", text=comment))
# Lyrics (USLT). Rimuovi tutti gli USLT esistenti, poi (ri)crea se non vuoto
for k in list(tags.keys()):
if k.startswith("USLT"):
del tags[k]
lyrics = data.get("lyrics", "")
if lyrics:
tags.add(USLT(encoding=3, lang="eng", desc="", text=lyrics))
# Source URL (WOAS)
if "source_url" in data:
src = data.get("source_url", "")
if "WOAS" in tags:
del tags["WOAS"]
if src:
tags.add(WOAS(url=src))
# Cover
if remove_cover or cover_path:
for k in list(tags.keys()):
@@ -379,6 +516,7 @@ def _write_mp4(path: str, data: dict, cover_path: Optional[str], remove_cover: b
set_or_del("\xa9day", data.get("year", ""))
set_or_del("\xa9gen", data.get("genre", ""))
set_or_del("\xa9cmt", data.get("comment", ""))
set_or_del("\xa9lyr", data.get("lyrics", ""))
track = data.get("track", "")
if track:
@@ -518,3 +656,38 @@ def write_metadata(path: str, data: dict, cover_path: Optional[str] = None,
# macOS extended attribute: kMDItemWhereFroms (lista URL/origini)
if "where_from" in data:
_write_where_from(path, data.get("where_from") or [])
def remove_frames(path: str, frame_keys: list) -> int:
"""Rimuove specifici frame ID3 (MP3) o atomi (MP4) dal file.
Ritorna il numero di frame rimossi. `frame_keys` sono le chiavi
esatte così come tornano da `raw_frames` (es. "TXXX:comment",
"GEOB:c2pa manifest store", "\xa9lyr")."""
if not frame_keys:
return 0
ext = Path(path).suffix.lower()
removed = 0
if ext == ".mp3":
try:
tags = ID3(path)
except ID3NoHeaderError:
return 0
for key in frame_keys:
if key in tags:
del tags[key]
removed += 1
if removed:
tags.save(path)
elif ext in (".m4a", ".mp4", ".aac"):
m = MP4(path)
if m.tags is None:
return 0
for key in frame_keys:
if key in m.tags:
del m.tags[key]
removed += 1
if removed:
m.save()
else:
raise ValueError(f"Rimozione frame non supportata per: {ext}")
return removed
+62 -33
View File
@@ -33,11 +33,25 @@ def _bundle_dirs() -> list[Path]:
# Directory dell'eseguibile
exe_dir = Path(sys.executable).parent
dirs.append(exe_dir)
# macOS: Contents/Frameworks/ (PyInstaller onedir .app)
# macOS: Contents/Frameworks/ (PyInstaller onedir .app) + sub-bundle
# ffmpeg.app / ffprobe.app dove sono incapsulati per TCC.
if not _IS_WINDOWS:
frameworks = exe_dir.parent / "Frameworks"
if frameworks.exists():
dirs.append(frameworks)
# Mini-bundle .app per i subprocess (vedi build_macos.py
# wrap_subprocess_in_bundle).
for sub in ("ffmpeg.app", "ffprobe.app"):
sub_macos = frameworks / sub / "Contents" / "MacOS"
if sub_macos.exists():
dirs.append(sub_macos)
else:
# Dev: cerca in <project_root>/bundle_bin/ così `python main.py`
# usa gli stessi binari del bundle (aggiornati via build_*.py)
# invece di Homebrew/PATH che possono essere obsoleti.
project_bundle = Path(__file__).resolve().parent.parent / "bundle_bin"
if project_bundle.exists():
dirs.append(project_bundle)
return dirs
@@ -96,55 +110,70 @@ def find_ytdlp() -> str:
raise FileNotFoundError(msg)
def find_ffmpeg_dir() -> Optional[str]:
"""Trova la directory contenente ffmpeg e ffprobe.
Ordine di ricerca:
1. Bundle PyInstaller
2. Percorsi noti per OS
3. Qualsiasi posizione nel PATH
"""
ffmpeg_name = _exe("ffmpeg")
# 1. Bundle
def _find_binary(name: str) -> Optional[str]:
"""Trova un binario (ffmpeg o ffprobe) nelle dir del bundle o nel sistema."""
exe_name = _exe(name)
# 1. Bundle (incluso eventuali sub-bundle .app su macOS)
for d in _bundle_dirs():
if (d / ffmpeg_name).exists():
return str(d)
# 2. Percorsi noti
candidate = d / exe_name
if candidate.exists():
return str(candidate)
# 2. Percorsi noti per OS
if _IS_WINDOWS:
# Posizioni comuni su Windows
for search in (
Path(os.environ.get("LOCALAPPDATA", "")) / "Programs" / "ffmpeg" / "bin",
Path("C:/ffmpeg/bin"),
Path(os.environ.get("ProgramFiles", "")) / "ffmpeg" / "bin",
):
if (search / "ffmpeg.exe").exists():
return str(search)
cand = search / exe_name
if cand.exists():
return str(cand)
else:
for search_path in ("/opt/homebrew/bin", "/usr/local/bin"):
if (Path(search_path) / "ffmpeg").exists():
return search_path
cand = Path(search_path) / exe_name
if cand.exists():
return str(cand)
# 3. PATH generico
ffmpeg = shutil.which("ffmpeg")
if ffmpeg:
return str(Path(ffmpeg).parent)
found = shutil.which(name)
return found if found else None
return None
def find_ffmpeg_dir() -> Optional[str]:
"""Ritorna la directory contenente ffmpeg (utile per PATH env)."""
ff = _find_binary("ffmpeg")
return str(Path(ff).parent) if ff else None
def find_ffmpeg() -> Optional[str]:
"""Ritorna il path completo di ffmpeg."""
d = find_ffmpeg_dir()
if d:
return str(Path(d) / _exe("ffmpeg"))
return None
return _find_binary("ffmpeg")
def find_ffprobe() -> Optional[str]:
"""Ritorna il path completo di ffprobe."""
d = find_ffmpeg_dir()
if d:
return str(Path(d) / _exe("ffprobe"))
return _find_binary("ffprobe")
def find_fpcalc() -> Optional[str]:
"""Ritorna il path completo di fpcalc (Chromaprint), o None.
Cerca nelle stesse directory di find_ffmpeg / find_ytdlp: bundle
PyInstaller prima, poi percorsi noti (Homebrew su macOS, LOCALAPPDATA
su Windows), infine PATH generico. In dev mode aggiunge anche
`<project_root>/bundle_bin/` così l'app funziona con `python main.py`
dopo aver scaricato fpcalc via build script.
`fpcalc` viene usato dal modulo core.dedup per calcolare fingerprint
audio (identificazione di duplicati).
"""
found = _find_binary("fpcalc")
if found:
return found
# Fallback dev: bundle_bin del progetto
if not _is_frozen():
exe_name = _exe("fpcalc")
project_bundle = Path(__file__).resolve().parent.parent / "bundle_bin"
cand = project_bundle / exe_name
if cand.exists():
return str(cand)
return None
+349 -225
View File
@@ -1,7 +1,10 @@
"""Registrazione audio da un dispositivo di input via ffmpeg.
"""Registrazione audio.
macOS: usa AVFoundation (ingresso fisico + driver virtuali tipo BlackHole)
Windows: usa DirectShow
macOS: AVCaptureSession via PyObjC dentro al processo Python principale.
Il bundle MusicTools.app ha NSMicrophoneUsageDescription e il TCC viene
concesso al main, quindi AVFoundation registra senza problemi. ffmpeg
viene usato SOLO per convertire il file CAF a MP3 (no microfono = no TCC).
Windows: ffmpeg DirectShow (qui il problema TCC non esiste).
"""
from __future__ import annotations
@@ -25,38 +28,33 @@ _IS_WIN = sys.platform == "win32"
# ============================================================
# Stato globale (un solo recording alla volta)
# ============================================================
_current_proc: Optional[subprocess.Popen] = None
_proc_lock = threading.Lock()
_stop_event = threading.Event()
_recording_thread: Optional[threading.Thread] = None
_recording_lock = threading.Lock()
_recording_state: dict = {}
_stderr_buf: list = []
_stderr_lock = threading.Lock()
def is_recording() -> bool:
with _proc_lock:
return _current_proc is not None and _current_proc.poll() is None
with _recording_lock:
return bool(_recording_state.get("active"))
# ============================================================
# Lista dispositivi
# ============================================================
def list_input_devices() -> list[dict]:
"""Ritorna la lista dei dispositivi audio di input.
Ogni voce: {"id": "0", "name": "...", "is_virtual": bool}.
def get_last_stderr(max_lines: int = 50) -> list[str]:
"""Espone le ultime righe di log diagnostico ai fini diagnostici.
is_virtual = True per driver di loopback noti (BlackHole, Soundflower,
Loopback, Audio Hijack, VB-Cable, ...)
Su macOS contiene messaggi del backend AVCaptureSession + stderr di
ffmpeg durante la conversione CAF->MP3. Su Windows contiene lo
stderr di ffmpeg per la registrazione DirectShow.
"""
ffmpeg = find_ffmpeg()
if not ffmpeg:
return []
with _stderr_lock:
return list(_stderr_buf[-max_lines:])
if _IS_MAC:
return _list_macos(ffmpeg)
if _IS_WIN:
return _list_windows(ffmpeg)
return []
def _log_diag(line: str) -> None:
with _stderr_lock:
_stderr_buf.append(line)
if len(_stderr_buf) > 200:
del _stderr_buf[0]
_VIRTUAL_KEYWORDS = (
@@ -71,54 +69,44 @@ def _is_virtual(name: str) -> bool:
return any(k in n for k in _VIRTUAL_KEYWORDS)
def _list_macos(ffmpeg: str) -> list[dict]:
"""Parsa l'output di `ffmpeg -f avfoundation -list_devices true -i ""`.
L'output va su stderr.
# ============================================================
# Lista dispositivi
# ============================================================
def list_input_devices() -> list[dict]:
"""Ritorna la lista dei dispositivi audio di input.
IMPORTANTE: come 'id' usiamo il NOME del device (non l'index numerico).
AVFoundation rinumera silenziosamente i device quando cambia il set di
hardware collegato (es. iPhone in continuita', Multi-Output Device, ecc).
Il nome e' invece stabile; ffmpeg AVFoundation accetta sia ':<index>'
sia ':<name>' come specifica del device input.
Ogni voce: {"id": "...", "name": "...", "is_virtual": bool}.
Su macOS l'`id` e' l'uniqueID di AVCaptureDevice (stabile).
Su Windows e' il nome del device (richiesto da DirectShow).
"""
if _IS_MAC:
return _list_macos_avf()
if _IS_WIN:
ffmpeg = find_ffmpeg()
return _list_windows(ffmpeg) if ffmpeg else []
return []
def _list_macos_avf() -> list[dict]:
"""Enumera input audio via AVFoundation (no ffmpeg subprocess)."""
try:
proc = subprocess.run(
[ffmpeg, "-hide_banner", "-f", "avfoundation",
"-list_devices", "true", "-i", ""],
capture_output=True, text=True, timeout=10,
**subprocess_flags(),
)
except Exception:
from AVFoundation import AVCaptureDevice, AVMediaTypeAudio
except ImportError as e:
_log_diag(f"[avf] AVFoundation non disponibile: {e}")
return []
devices: list[dict] = []
in_audio = False
audio_section_re = re.compile(r"AVFoundation\s+audio\s+devices", re.IGNORECASE)
other_section_re = re.compile(r"AVFoundation\s+(?:video)\s+devices", re.IGNORECASE)
line_re = re.compile(r"\[(\d+)\]\s+(.+?)\s*$")
for raw in proc.stderr.splitlines():
line = raw.strip()
if audio_section_re.search(line):
in_audio = True
for d in AVCaptureDevice.devicesWithMediaType_(AVMediaTypeAudio):
try:
name = str(d.localizedName())
uid = str(d.uniqueID())
except Exception:
continue
if other_section_re.search(line):
in_audio = False
continue
if not in_audio:
continue
clean = re.sub(r"^\[AVFoundation[^\]]*\]\s*", "", line)
m = line_re.match(clean)
if not m:
continue
idx, name = m.group(1), m.group(2).strip()
devices.append({
"id": name, # nome stabile (vedi docstring)
"index": idx, # solo informativo per debug
"id": uid,
"name": name,
"is_virtual": _is_virtual(name),
})
return devices
@@ -162,7 +150,6 @@ def _list_windows(ffmpeg: str) -> list[dict]:
name = mn.group(1)
devices.append({"id": name, "name": name, "is_virtual": _is_virtual(name)})
# Dedup preservando l'ordine
seen = set()
out = []
for d in devices:
@@ -174,130 +161,295 @@ def _list_windows(ffmpeg: str) -> list[dict]:
# ============================================================
# Registrazione
# Permesso microfono (macOS)
# ============================================================
def _build_record_cmd(ffmpeg: str, device_id: str, output_path: str,
bitrate: str) -> list[str]:
"""Comando ffmpeg per registrare su file MP3."""
if _IS_MAC:
return [
ffmpeg, "-hide_banner", "-y",
"-f", "avfoundation",
"-i", f":{device_id}",
"-acodec", "libmp3lame",
"-b:a", bitrate,
"-vn",
output_path,
]
if _IS_WIN:
return [
ffmpeg, "-hide_banner", "-y",
"-f", "dshow",
"-i", f"audio={device_id}",
"-acodec", "libmp3lame",
"-b:a", bitrate,
"-vn",
output_path,
]
raise RuntimeError("Sistema operativo non supportato per la registrazione")
def _ensure_macos_mic_permission() -> tuple[bool, str]:
"""Verifica/richiede il permesso microfono (TCC) per il processo corrente.
def start_recording(
device_id: str,
output_path: str,
bitrate: str = "320k",
progress_callback: Optional[Callable] = None,
) -> dict:
"""Avvia una registrazione in un thread.
Ritorna {ok, error?, output_path?}.
progress_callback(status, payload) viene chiamato con:
("started", {"output_path": ...})
("tick", {"seconds": int})
("stopped", {"output_path": ..., "seconds": int})
("error", {"error": "..."})
Ritorna (granted, reason).
"""
global _current_proc, _recording_thread
try:
from AVFoundation import AVCaptureDevice, AVMediaTypeAudio
except ImportError as e:
return False, f"AVFoundation non disponibile: {e}"
if is_recording():
return {"ok": False, "error": "Una registrazione e gia in corso"}
# 0=notDetermined, 1=restricted, 2=denied, 3=authorized
status = AVCaptureDevice.authorizationStatusForMediaType_(AVMediaTypeAudio)
if status == 3:
return True, "authorized"
if status in (1, 2):
return False, (
"Permesso microfono negato.\n"
"Impostazioni di Sistema -> Privacy e sicurezza -> Microfono\n"
"Attiva MusicTools e riavvia l'app."
)
# notDetermined -> chiedi il prompt in modo sincrono.
ev = threading.Event()
granted = [False]
def cb(ok):
granted[0] = bool(ok)
ev.set()
AVCaptureDevice.requestAccessForMediaType_completionHandler_(AVMediaTypeAudio, cb)
# PyObjC pumpa il run loop automaticamente in attesa del callback.
ev.wait(60)
if not granted[0]:
return False, "Permesso microfono negato dall'utente."
return True, "granted"
# ============================================================
# Registrazione macOS via AVCaptureSession
# ============================================================
def _start_recording_macos(device_id: str, output_path: str, bitrate: str,
progress_callback: Optional[Callable]) -> dict:
from AVFoundation import (
AVCaptureSession, AVCaptureDevice, AVCaptureDeviceInput,
AVCaptureAudioFileOutput, AVMediaTypeAudio,
)
from Foundation import NSURL, NSObject
ok, reason = _ensure_macos_mic_permission()
if not ok:
return {"ok": False, "error": reason}
# Trova il device: prima per uniqueID, poi per nome (fallback)
dev = AVCaptureDevice.deviceWithUniqueID_(device_id)
if dev is None:
for d in AVCaptureDevice.devicesWithMediaType_(AVMediaTypeAudio):
if str(d.localizedName()) == device_id:
dev = d
break
if dev is None:
return {"ok": False, "error": "Dispositivo audio non trovato."}
session = AVCaptureSession.alloc().init()
inp, err = AVCaptureDeviceInput.deviceInputWithDevice_error_(dev, None)
if err is not None:
return {"ok": False, "error": f"Errore input: {err.localizedDescription()}"}
if not session.canAddInput_(inp):
return {"ok": False, "error": "Impossibile aggiungere il device alla session."}
session.addInput_(inp)
out = AVCaptureAudioFileOutput.alloc().init()
if not session.canAddOutput_(out):
return {"ok": False, "error": "Impossibile aggiungere l'output alla session."}
session.addOutput_(out)
out_path = Path(output_path)
out_path.parent.mkdir(parents=True, exist_ok=True)
caf_path = out_path.with_suffix(".caf")
# Delegate: aspetta che lo stop produca il file finale
class _Delegate(NSObject):
def captureOutput_didStartRecordingToOutputFileAtURL_fromConnections_(
self, output, url, conns):
self.started = True
def captureOutput_didFinishRecordingToOutputFileAtURL_fromConnections_error_(
self, output, url, conns, err):
self.done = True
self.err = err.localizedDescription() if err is not None else None
delegate = _Delegate.alloc().init()
delegate.started = False
delegate.done = False
delegate.err = None
session.startRunning()
out.startRecordingToOutputFileURL_outputFileType_recordingDelegate_(
NSURL.fileURLWithPath_(str(caf_path)),
"com.apple.coreaudio-format",
delegate,
)
with _recording_lock:
_recording_state.update({
"active": True,
"session": session,
"output": out,
"delegate": delegate,
"caf_path": str(caf_path),
"mp3_path": str(out_path),
"bitrate": bitrate,
"started_at": time.monotonic(),
"progress_cb": progress_callback,
})
if progress_callback:
progress_callback("started", {"output_path": str(out_path)})
# Tick thread per emettere "seconds" elapsed (la UI lo mostra)
threading.Thread(target=_tick_worker, daemon=True).start()
_log_diag(f"[avf] Recording started -> {caf_path}")
return {"ok": True, "output_path": str(out_path)}
def _tick_worker():
while is_recording():
with _recording_lock:
cb = _recording_state.get("progress_cb")
started_at = _recording_state.get("started_at", time.monotonic())
elapsed = int(time.monotonic() - started_at)
if cb:
cb("tick", {"seconds": elapsed})
time.sleep(1.0)
def _stop_recording_macos() -> dict:
with _recording_lock:
if not _recording_state.get("active"):
return {"ok": True}
state = dict(_recording_state)
_recording_state["active"] = False
session = state["session"]
out = state["output"]
delegate = state["delegate"]
caf_path = Path(state["caf_path"])
mp3_path = Path(state["mp3_path"])
bitrate = state["bitrate"]
cb = state["progress_cb"]
started_at = state["started_at"]
# Stop recording (chiama il delegate didFinish dopo aver finalizzato il file)
out.stopRecording()
# Aspetta il completamento del file
deadline = time.time() + 8
while not getattr(delegate, "done", False) and time.time() < deadline:
time.sleep(0.1)
session.stopRunning()
if getattr(delegate, "err", None):
_log_diag(f"[avf] delegate error: {delegate.err}")
seconds = int(time.monotonic() - started_at)
# Conversione CAF -> MP3 via ffmpeg (NO microfono: niente TCC)
if caf_path.exists():
ffmpeg = find_ffmpeg()
if ffmpeg:
try:
proc = subprocess.run(
[ffmpeg, "-hide_banner", "-y", "-i", str(caf_path),
"-acodec", "libmp3lame", "-b:a", bitrate,
"-vn", str(mp3_path)],
capture_output=True, text=True, timeout=120,
**subprocess_flags(),
)
if proc.returncode != 0:
_log_diag(f"[ffmpeg-convert] rc={proc.returncode}")
for ln in (proc.stderr or "").splitlines()[-10:]:
_log_diag(ln)
# Cleanup CAF temporaneo
try:
caf_path.unlink()
except OSError:
pass
except Exception as e:
_log_diag(f"[ffmpeg-convert] exception: {e}")
else:
_log_diag("[ffmpeg-convert] ffmpeg non trovato, lascio il file CAF.")
# Se ffmpeg non c'e', rinomina il CAF in MP3 (estensione errata
# ma l'utente ha qualcosa)
try:
caf_path.rename(mp3_path.with_suffix(".caf"))
except OSError:
pass
if cb:
if mp3_path.exists():
cb("stopped", {"output_path": str(mp3_path), "seconds": seconds})
else:
cb("error", {"error": "File registrato non trovato dopo lo stop."})
return {"ok": True}
# ============================================================
# Registrazione Windows via ffmpeg DirectShow (invariato)
# ============================================================
def _start_recording_windows(device_id: str, output_path: str, bitrate: str,
progress_callback: Optional[Callable]) -> dict:
ffmpeg = find_ffmpeg()
if not ffmpeg:
return {"ok": False, "error": "ffmpeg non trovato"}
out = Path(output_path)
out.parent.mkdir(parents=True, exist_ok=True)
cmd = [
ffmpeg, "-hide_banner", "-y",
"-f", "dshow",
"-i", f"audio={device_id}",
"-acodec", "libmp3lame",
"-b:a", bitrate,
"-vn",
str(out),
]
cmd = _build_record_cmd(ffmpeg, device_id, str(out), bitrate)
_stop_event.clear()
with _stderr_lock:
_stderr_buf.clear()
def _drain_stderr(proc):
"""Drena lo stderr di ffmpeg in modo continuo per evitare blocchi
del pipe e per salvare le ultime righe ai fini diagnostici."""
def _drain(proc):
try:
for raw in iter(proc.stderr.readline, b""):
if not raw:
break
line = raw.decode("utf-8", errors="ignore").rstrip()
with _stderr_lock:
_stderr_buf.append(line)
# Mantieni solo le ultime 50 righe per non sforare la RAM
if len(_stderr_buf) > 50:
del _stderr_buf[0]
_log_diag(line)
except Exception:
pass
def _worker():
global _current_proc
try:
with _proc_lock:
_current_proc = subprocess.Popen(
cmd,
stdin=subprocess.PIPE,
stdout=subprocess.DEVNULL,
stderr=subprocess.PIPE,
text=False,
**subprocess_flags(),
)
proc = subprocess.Popen(
cmd,
stdin=subprocess.PIPE,
stdout=subprocess.DEVNULL,
stderr=subprocess.PIPE,
text=False,
**subprocess_flags(),
)
with _recording_lock:
_recording_state.update({
"active": True,
"proc": proc,
"output_path": str(out),
"started_at": time.monotonic(),
"progress_cb": progress_callback,
})
threading.Thread(target=_drain, args=(proc,), daemon=True).start()
drain_t = threading.Thread(target=_drain_stderr,
args=(_current_proc,), daemon=True)
drain_t.start()
# Aspetta brevemente che ffmpeg apra il device. Se fallisce nei
# primi ~1.5s, segnala errore prima di emettere 'started'.
start = time.monotonic()
opened = False
for _ in range(15):
if _current_proc.poll() is not None:
if proc.poll() is not None:
break
# ffmpeg stampa "Press [q] to stop" quando il device e' aperto
with _stderr_lock:
if any("Press [q]" in l for l in _stderr_buf):
opened = True
break
time.sleep(0.1)
rc_early = _current_proc.poll()
if not opened and rc_early is not None:
# ffmpeg e' uscito prima di iniziare a registrare
with _proc_lock:
_current_proc = None
if not opened and proc.poll() is not None:
with _recording_lock:
_recording_state["active"] = False
if progress_callback:
progress_callback("error", {"error": _extract_friendly_error(rc_early)})
progress_callback("error", {
"error": _extract_friendly_error_windows(proc.returncode),
})
return
if progress_callback:
progress_callback("started", {"output_path": str(out)})
while True:
if _stop_event.is_set():
break
rc = _current_proc.poll()
with _recording_lock:
if not _recording_state.get("active"):
break
rc = proc.poll()
if rc is not None:
break
elapsed = int(time.monotonic() - start)
@@ -305,123 +457,95 @@ def start_recording(
progress_callback("tick", {"seconds": elapsed})
time.sleep(1.0)
# Stop gracefully
if _current_proc.poll() is None:
if proc.poll() is None:
try:
_current_proc.stdin.write(b"q\n")
_current_proc.stdin.flush()
proc.stdin.write(b"q\n")
proc.stdin.flush()
except Exception:
pass
try:
_current_proc.wait(timeout=5)
proc.wait(timeout=5)
except subprocess.TimeoutExpired:
_current_proc.terminate()
proc.terminate()
try:
_current_proc.wait(timeout=3)
proc.wait(timeout=3)
except subprocess.TimeoutExpired:
_current_proc.kill()
proc.kill()
rc = _current_proc.returncode
seconds = int(time.monotonic() - start)
with _proc_lock:
_current_proc = None
with _recording_lock:
_recording_state["active"] = False
if progress_callback:
if rc == 0 or out.exists():
if proc.returncode == 0 or out.exists():
progress_callback("stopped", {"output_path": str(out), "seconds": seconds})
else:
progress_callback("error", {"error": _extract_friendly_error(rc)})
progress_callback("error", {
"error": _extract_friendly_error_windows(proc.returncode),
})
except Exception as e:
with _proc_lock:
_current_proc = None
with _recording_lock:
_recording_state["active"] = False
if progress_callback:
progress_callback("error", {"error": str(e)})
_recording_thread = threading.Thread(target=_worker, daemon=True)
_recording_thread.start()
progress_callback("error", {"error": f"{type(e).__name__}: {e}"})
threading.Thread(target=_worker, daemon=True).start()
return {"ok": True, "output_path": str(out)}
def _extract_friendly_error(rc: int) -> str:
"""Trasforma rc + stderr di ffmpeg in un messaggio leggibile.
Riconosce i casi tipici: permessi microfono, device occupato,
device non disponibile, clock drift di BlackHole, ecc.
Fallback: se non riconosce il pattern, ritorna le ultime righe
significative dello stderr cosi' l'utente puo' diagnosticare
o aprire un ticket.
"""
def _extract_friendly_error_windows(rc: int) -> str:
with _stderr_lock:
lines = list(_stderr_buf)
text = "\n".join(lines).lower()
is_mac = sys.platform == "darwin"
# ---- Errori specifici (priorita' alta) ----
if "input/output error" in text or "errno 22" in text:
return (
"Dispositivo audio non pronto (BlackHole o scheda virtuale). "
"Spesso si risolve cosi':\n"
" 1) Smetti la registrazione e riprova fra 5 secondi\n"
" 2) Se persiste, da Terminale: 'sudo killall coreaudiod'\n"
" 3) Verifica che nessun'altra app stia gia' registrando il device"
)
if "device not configured" in text or "device not available" in text:
return "Dispositivo non configurato. Premi 'Aggiorna' e riseleziona."
if "permission" in text or "not authorized" in text or "not permitted" in text \
or "tcc" in text or "denied" in text:
return _permission_message()
if "no such device" in text or "no such audio device" in text or "invalid device" in text:
return "Dispositivo non trovato. Premi 'Aggiorna' e riseleziona dalla lista."
# ---- Macro per rc=-6 (SIGABRT) su macOS ----
# Su macOS rc=-6 e' quasi sempre il sintomo di un crash di ffmpeg
# dovuto al permesso Microfono mancante. La parola 'abort' non
# sempre compare nello stderr di ffmpeg recenti.
if rc == -6 and is_mac:
return _permission_message()
# ---- Fallback: cerca le ultime righe significative ----
if "no such device" in text or "could not find" in text:
return "Dispositivo non trovato. Premi 'Aggiorna' e riseleziona."
if "permission" in text or "denied" in text:
return "Permesso microfono mancante. Impostazioni Windows -> Privacy -> Microfono."
for line in reversed(lines):
l = line.strip()
if not l:
continue
low = l.lower()
# Riga AVFoundation/dshow specifica (es. "[avfoundation @ 0x...] Could not...")
if l.startswith("[avfoundation") or l.startswith("[dshow") or "@ 0x" in l:
if "error" in low or "fail" in low or "denied" in low:
return l
if "error" in low or "fail" in low or "denied" in low or "cannot" in low:
return l
# Ultima spiaggia: rc + ultime 3 righe di stderr per debug
tail = " | ".join(line for line in lines[-3:] if line.strip()) or "(nessuno)"
return f"ffmpeg exit {rc}. Ultimo stderr: {tail}"
def _permission_message() -> str:
"""Messaggio standardizzato per il problema permesso Microfono macOS."""
return (
"Permesso Microfono mancante. Su macOS:\n"
" Impostazioni di Sistema -> Privacy e sicurezza -> Microfono\n"
" Abilita 'Terminal' (se lanci l'app da terminale) o 'MusicTools'\n"
" (se usi l'app installata). Poi riavvia l'app."
)
def _stop_recording_windows() -> dict:
with _recording_lock:
if not _recording_state.get("active"):
return {"ok": True}
# Il worker thread vede 'active'=False e termina ffmpeg con 'q'.
_recording_state["active"] = False
return {"ok": True}
def get_last_stderr(max_lines: int = 50) -> list[str]:
"""Espone le ultime righe di stderr ai fini diagnostici.
Chiamato dal bridge per la UI 'Mostra log tecnici'."""
# ============================================================
# API pubblica
# ============================================================
def start_recording(
device_id: str,
output_path: str,
bitrate: str = "320k",
progress_callback: Optional[Callable] = None,
) -> dict:
if is_recording():
return {"ok": False, "error": "Una registrazione e gia in corso"}
with _stderr_lock:
return list(_stderr_buf[-max_lines:])
_stderr_buf.clear()
if _IS_MAC:
return _start_recording_macos(device_id, output_path, bitrate, progress_callback)
if _IS_WIN:
return _start_recording_windows(device_id, output_path, bitrate, progress_callback)
return {"ok": False, "error": "Sistema operativo non supportato per la registrazione"}
def stop_recording() -> dict:
"""Ferma la registrazione corrente (se attiva)."""
_stop_event.set()
if _IS_MAC:
return _stop_recording_macos()
if _IS_WIN:
return _stop_recording_windows()
return {"ok": True}
+211
View File
@@ -3,6 +3,8 @@
from __future__ import annotations
import re
import time
import requests
@@ -255,3 +257,212 @@ def resolve_spotify_track_no_auth(url: str) -> tuple[str, str, list[dict]]:
track = {"name": name, "artist": artist}
return "Brano", name, [track]
def search_track(token: str, query: str):
"""Cerca un brano su Spotify e ritorna il primo match.
Ritorna un dict con {id, url, name, artists} oppure None se nessun match.
Solleva requests.HTTPError su errori server / auth.
"""
resp = requests.get(
"https://api.spotify.com/v1/search",
headers={"Authorization": f"Bearer {token}"},
params={"q": query, "type": "track", "limit": 1},
timeout=15,
)
resp.raise_for_status()
items = resp.json().get("tracks", {}).get("items", [])
if not items:
return None
t = items[0]
return {
"id": t.get("id"),
"url": t.get("external_urls", {}).get("spotify", ""),
"name": t.get("name", ""),
"artists": ", ".join(a.get("name", "") for a in t.get("artists", [])),
}
def search_tracks(token: str, query: str, limit: int = 50) -> list:
"""Cerca brani su Spotify e ritorna una lista di dict.
Args:
token: access token Spotify
query: query libera (titolo, artista, misto)
limit: max risultati (Spotify cap = 50)
Returns:
list[dict] con {id, url, name, artists, album, duration_sec}. Vuota se nessun match.
"""
resp = requests.get(
"https://api.spotify.com/v1/search",
headers={"Authorization": f"Bearer {token}"},
params={"q": query, "type": "track", "limit": min(limit, 50)},
timeout=15,
)
resp.raise_for_status()
items = resp.json().get("tracks", {}).get("items", [])
return [_track_to_dict(t) for t in items]
def _track_to_dict(t: dict) -> dict:
"""Mappa il track object Spotify sul nostro schema uniforme."""
album = t.get("album", {}) or {}
images = album.get("images", []) or []
# Spotify torna 3 taglie ordinate large->small. Prendo la più piccola (~64px)
# per la thumbnail UI, la più grande (~640px) per il tagging cover.
image_url = "" # ~64px per UI thumbnail
cover_url_large = "" # ~640px per tagging ID3
if images:
image_url = images[-1].get("url", "") or images[0].get("url", "")
cover_url_large = images[0].get("url", "") or image_url
# release_date può essere YYYY, YYYY-MM o YYYY-MM-DD in base a release_date_precision
release_date = str(album.get("release_date") or "").strip()
# track_number (opzionale: presente su brani da album, assente su top-tracks flat)
tracknumber = t.get("track_number")
# artist_id (primo artista) per fetchare i generi ID3
artists_arr = t.get("artists", []) or []
artist_id = artists_arr[0].get("id", "") if artists_arr else ""
return {
"id": t.get("id", ""),
"url": t.get("external_urls", {}).get("spotify", ""),
"name": t.get("name", ""),
"artists": ", ".join(a.get("name", "") for a in artists_arr),
"album": album.get("name", ""),
"duration_sec": int(t.get("duration_ms", 0)) // 1000,
"image_url": image_url,
"cover_url_large": cover_url_large,
"release_date": release_date,
"track_number": int(tracknumber) if tracknumber else 0,
"artist_id": artist_id,
}
def get_artist_genres(token: str, artist_id: str) -> list:
"""Ritorna la lista di generi dell'artista (può essere vuota).
Silenzia gli errori HTTP: usato per arricchimento best-effort dei tag
ID3, non deve mai bloccare il download.
"""
if not artist_id:
return []
try:
resp = requests.get(
f"https://api.spotify.com/v1/artists/{artist_id}",
headers={"Authorization": f"Bearer {token}"},
timeout=10,
)
if resp.status_code != 200:
return []
return list(resp.json().get("genres") or [])
except Exception:
return []
def enrich_from_youtube_title(token: str, video_title: str) -> dict:
"""Cerca su Spotify il primo match per il titolo di un video YouTube.
Ritorna un dict con la stessa shape di _track_to_dict, oppure {} se
nessun match / errore. Best-effort per il tagging dei download YouTube.
"""
query = (video_title or "").strip()
if not query:
return {}
try:
results = search_tracks(token, query, limit=1)
except Exception:
return {}
return results[0] if results else {}
def search_artist_discography(token: str, artist_name: str) -> list:
"""Trova l'artista esatto (o il piu' popolare tra i match) e ritorna
tutti i suoi brani: top tracks + tracce di ogni album/single.
Deduplica per (name.lower().strip(), first_artist.lower().strip()).
Raises:
ValueError: se nessun artista trovato per il nome dato.
"""
headers = {"Authorization": f"Bearer {token}"}
# 1. Cerca artista
resp = requests.get(
"https://api.spotify.com/v1/search",
headers=headers,
params={"q": artist_name, "type": "artist", "limit": 5},
timeout=15,
)
resp.raise_for_status()
candidates = resp.json().get("artists", {}).get("items", [])
if not candidates:
raise ValueError(f"Artista '{artist_name}' non trovato")
# Match esatto (case-insensitive) se possibile, altrimenti piu' popolare
query_lower = artist_name.lower().strip()
exact = [c for c in candidates if c.get("name", "").lower().strip() == query_lower]
if exact:
artist = exact[0]
else:
artist = max(candidates, key=lambda c: c.get("popularity", 0))
artist_id = artist["id"]
collected: list = []
# 2. Top tracks
r_top = requests.get(
f"https://api.spotify.com/v1/artists/{artist_id}/top-tracks",
headers=headers,
params={"market": "IT"},
timeout=15,
)
r_top.raise_for_status()
for t in r_top.json().get("tracks", []):
collected.append(_track_to_dict(t))
# 3. Albums (album + single)
r_alb = requests.get(
f"https://api.spotify.com/v1/artists/{artist_id}/albums",
headers=headers,
params={"include_groups": "album,single", "limit": 50, "market": "IT"},
timeout=15,
)
r_alb.raise_for_status()
albums = r_alb.json().get("items", [])
# 4. Per ogni album, tracce (album/track object non ha "album" sub-field, iniettiamola
# includendo anche le images dell'album così _track_to_dict riesce a estrarre la cover)
for alb in albums:
alb_id = alb.get("id")
alb_name = alb.get("name", "")
alb_images = alb.get("images", []) or []
alb_release_date = alb.get("release_date", "")
if not alb_id:
continue
time.sleep(0.1) # rate limit interno
r_at = requests.get(
f"https://api.spotify.com/v1/albums/{alb_id}/tracks",
headers=headers,
params={"limit": 50},
timeout=15,
)
r_at.raise_for_status()
for t in r_at.json().get("items", []):
t = dict(t)
t.setdefault("album", {
"name": alb_name,
"images": alb_images,
"release_date": alb_release_date,
})
collected.append(_track_to_dict(t))
# 5. Dedupe
seen: set = set()
unique: list = []
for t in collected:
key = (t["name"].lower().strip(), t["artists"].split(",")[0].lower().strip())
if key in seen:
continue
seen.add(key)
unique.append(t)
return unique
+109
View File
@@ -0,0 +1,109 @@
"""Scrittura tag ID3 su file MP3 via mutagen, con cover art da URL."""
from __future__ import annotations
import re
from pathlib import Path
from typing import Optional
import requests
from mutagen.easyid3 import EasyID3
from mutagen.id3 import ID3, APIC
from mutagen.mp3 import MP3
SAFE_FILENAME_RE = re.compile(r'[<>:"/\\|?*\x00-\x1f]')
def sanitize_filename_stem(stem: str, max_len: int = 180) -> str:
"""Rimuove caratteri non validi per un filename e limita lunghezza."""
s = SAFE_FILENAME_RE.sub("_", stem or "").strip()
s = re.sub(r"\s+", " ", s)
if len(s) > max_len:
s = s[:max_len].rstrip()
return s or "untitled"
def build_filename_stem(artist: str, title: str) -> str:
"""Compone 'Artista - Titolo' sanitizzato."""
artist = (artist or "").strip()
title = (title or "").strip()
if artist and title:
return sanitize_filename_stem(f"{artist} - {title}")
return sanitize_filename_stem(title or artist or "untitled")
def _download_cover(url: str) -> Optional[bytes]:
"""Scarica bytes cover, ritorna None su qualsiasi errore."""
try:
resp = requests.get(url, timeout=15)
if resp.status_code == 200:
return resp.content
except Exception:
pass
return None
def _cover_mime(url: str, content: bytes) -> str:
"""Deduci MIME dell'immagine da URL o magic bytes."""
u = url.lower()
if u.endswith(".png"):
return "image/png"
if u.endswith((".jpg", ".jpeg")):
return "image/jpeg"
# magic bytes
if content[:8] == b"\x89PNG\r\n\x1a\n":
return "image/png"
if content[:3] == b"\xff\xd8\xff":
return "image/jpeg"
return "image/jpeg" # default
def write_tags(filepath: str, metadata: dict) -> None:
"""Scrive ID3 tag su file MP3 esistente.
metadata: dict con chiavi opzionali:
title, artist, album, date (YYYY o YYYY-MM-DD), genre,
tracknumber, cover_url
Errori non fatali (file mancante, tag non scrivibili): silenziosi
per non bloccare il download principale.
"""
p = Path(filepath)
if not p.exists():
return
# 1. Tag testuali via EasyID3
try:
try:
audio = EasyID3(str(p))
except Exception:
# Se il file non ha header ID3, aggiungine uno vuoto
mp3 = MP3(str(p))
if mp3.tags is None:
mp3.add_tags()
mp3.save()
audio = EasyID3(str(p))
for key in ("title", "artist", "album", "date", "genre", "tracknumber"):
val = metadata.get(key)
if val:
audio[key] = str(val)
audio.save(str(p))
except Exception:
return # ID3 broken, non provo la cover
# 2. Cover art via ID3 APIC
cover_url = (metadata.get("cover_url") or "").strip()
if not cover_url:
return
cover_bytes = _download_cover(cover_url)
if not cover_bytes:
return
try:
mime = _cover_mime(cover_url, cover_bytes)
tags = ID3(str(p))
tags.delall("APIC")
tags.add(APIC(encoding=3, mime=mime, type=3, desc="Cover", data=cover_bytes))
tags.save(str(p))
except Exception:
pass
+271
View File
@@ -0,0 +1,271 @@
"""Fetch Top 100 Traxsource per genere.
Approccio: session curl_cffi (bypass CF via cookie) + BeautifulSoup HTML scraping.
Spec: docs/superpowers/specs/2026-08-01-traxsource-charts-design.md.
"""
from __future__ import annotations
import re
import time
from dataclasses import dataclass
# Generi musicali Traxsource (slug -> (id, display_name)).
# Aggiornato via scripts/refresh_traxsource_genres.py. Esclusi "sounds/samples/loops",
# "acapella", "beats", "efx-dj-tools", "stems" (non generi ma tipi di prodotto).
# NOTA (ago 2026): Traxsource ha rimosso la "Top 100 <genre>" per 10 generi minori
# (broken-beat-nu-jazz, classic-house, drum-and-bass, electro-house, electronica,
# leftfield, lounge-chill-out, pop-dance, r-and-b-hip-hop, world). Rimossi dal
# dropdown finché non ripristinano la playlist canonica.
GENRES: dict = {
"afro-house": (27, "Afro House"),
"afro-latin-brazilian": (23, "Afro / Latin / Brazilian"),
"deep-house": (13, "Deep House"),
"garage": (29, "Garage"),
"house": (4, "House"),
"jackin-house": (15, "Jackin House"),
"melodic-progressive-house": (19, "Melodic / Progressive House"),
"minimal-deep-tech": (16, "Minimal / Deep Tech"),
"nu-disco-indie-dance": (17, "Nu Disco / Indie Dance"),
"soul-funk-disco": (3, "Soul / Funk / Disco"),
"soulful-house": (24, "Soulful House"),
"tech-house": (18, "Tech House"),
"techno": (20, "Techno"),
}
@dataclass(frozen=True)
class TraxsourceTrack:
position: int
title: str
mix: str
artists: str
label: str
traxsource_id: int
slug: str
image_url: str = ""
cover_url_large: str = ""
def list_genres() -> list:
result = [
{"slug": slug, "id": gid, "name": name}
for slug, (gid, name) in GENRES.items()
]
result.sort(key=lambda g: g["name"].casefold())
return result
class TraxsourceError(Exception):
"""Base per errori Traxsource."""
class TraxsourceUnreachableError(TraxsourceError):
"""Rete / 5xx dopo retry."""
class TraxsourceParseError(TraxsourceError):
"""HTML ricevuto ma non conforme allo schema atteso."""
_MIX_PAREN_RE = re.compile(r"^(.*)\s*\(([^()]+)\)\s*$")
_SIZE_RE = re.compile(r"/\d+x\d+/")
def _split_title_mix(full_title: str) -> tuple:
"""Estrae mix dalle parentesi finali. 'Foo (Extended Mix)' -> ('Foo', 'Extended Mix').
Se non ci sono parentesi finali, mix = ''."""
if not full_title:
return ("", "")
m = _MIX_PAREN_RE.match(full_title.strip())
if m:
return (m.group(1).strip(), m.group(2).strip())
return (full_title.strip(), "")
def _format_artists(names: list) -> str:
"""['A', 'B', 'C'] -> 'A, B & C'. Strips whitespace."""
clean = [n.strip() for n in names if n and n.strip()]
if not clean:
return ""
if len(clean) == 1:
return clean[0]
return ", ".join(clean[:-1]) + " & " + clean[-1]
def _large_cover(url: str) -> str:
"""Sostituisce /NxN/ nel path con /500x500/. Se pattern assente, ritorna invariato."""
if not url:
return ""
return _SIZE_RE.sub("/500x500/", url)
_TOP100_LINK_RE = re.compile(r'href="(/title/\d+/top-100-[a-z0-9-]+)"')
def _discover_top100_url(genre_html: str) -> str:
"""Estrae il path relativo della playlist Top 100 corrente dalla pagina di un genere."""
m = _TOP100_LINK_RE.search(genre_html)
if not m:
raise TraxsourceParseError("link Top 100 non trovato nella pagina genere")
return m.group(1)
def _parse_tracks(html: str) -> list:
"""Parsa la pagina Top 100 (title playlist) e ritorna list[TraxsourceTrack].
Selettori (verificati su fixture tech-house 2026-07):
row = div.trk-row.play-trk (data-trid=<int>)
position = div.tnum (inside div.tnum-pos)
title <a> = div.trk-cell.title a[href^="/track/"]
version = span.version (contiene child span.duration da rimuovere)
artists = a.com-artists (uno o piu)
label <a> = div.trk-cell.label a
cover img = div.trk-cell.thumb img (src /scripts/image.php/52x52/...)
"""
# Lazy import — bs4 non e' hard-dep del modulo (importato solo quando serve).
from bs4 import BeautifulSoup
soup = BeautifulSoup(html, "html.parser")
rows = soup.select("div.trk-row.play-trk")
if not rows:
raise TraxsourceParseError("nessuna track (div.trk-row.play-trk) trovata")
out: list = []
for i, row in enumerate(rows, 1):
try:
trid = int(row.get("data-trid") or 0)
pos_el = row.select_one("div.tnum")
position = i # fallback su enumerate se pos manca / non e' un numero
if pos_el:
pos_txt = pos_el.get_text(strip=True)
if pos_txt.isdigit():
position = int(pos_txt)
title_a = row.select_one('div.trk-cell.title a[href^="/track/"]')
if not title_a:
continue
title = title_a.get_text(strip=True)
href = title_a.get("href") or ""
slug = href.rsplit("/", 1)[-1]
# Mix version: contenuto di span.version, escluso span.duration
mix = ""
version_el = row.select_one("span.version")
if version_el:
dur_el = version_el.select_one("span.duration")
if dur_el:
dur_el.extract()
mix = version_el.get_text(strip=True)
artist_names = [a.get_text(strip=True) for a in row.select("a.com-artists")]
artists = _format_artists(artist_names)
label_a = row.select_one("div.trk-cell.label a")
label = label_a.get_text(strip=True) if label_a else ""
img = row.select_one('div.trk-cell.thumb img[src*="/scripts/image.php/"]')
image_url = (img.get("src") or "") if img else ""
cover_large = _large_cover(image_url)
out.append(TraxsourceTrack(
position=position,
title=title,
mix=mix,
artists=artists,
label=label,
traxsource_id=trid,
slug=slug,
image_url=image_url,
cover_url_large=cover_large,
))
except Exception as e:
raise TraxsourceParseError(f"errore parse track[{i}]: {e}") from e
return out
# --- fetch_top100 con session curl_cffi + retry + cache ------------------
_IMPERSONATE = "chrome131"
_REQUEST_TIMEOUT = 15
_MAX_ATTEMPTS = 3
_BACKOFF_SEC = [1, 3]
_CACHE_TTL_SEC = 15 * 60
_cache: dict = {}
_session_singleton = None
def _session():
"""Ritorna la Session curl_cffi singleton, preriscaldata con GET a /."""
global _session_singleton
if _session_singleton is None:
from curl_cffi import requests as _cffi
_session_singleton = _cffi.Session(impersonate=_IMPERSONATE)
try:
_session_singleton.get("https://www.traxsource.com/", timeout=_REQUEST_TIMEOUT)
except Exception:
pass # cookie CF possono arrivare comunque
return _session_singleton
def _do_get(session, url: str) -> str:
"""GET con retry + backoff. Include Referer per pagine interne."""
last_exc = None
for attempt in range(_MAX_ATTEMPTS):
try:
resp = session.get(
url,
timeout=_REQUEST_TIMEOUT,
headers={"Referer": "https://www.traxsource.com/"},
)
if resp.status_code >= 500 or resp.status_code == 403:
raise Exception(f"HTTP {resp.status_code}")
resp.raise_for_status()
return resp.text
except Exception as e:
last_exc = e
if attempt < _MAX_ATTEMPTS - 1:
time.sleep(_BACKOFF_SEC[attempt])
raise TraxsourceUnreachableError(
f"Traxsource irraggiungibile dopo {_MAX_ATTEMPTS} tentativi: {last_exc}"
)
def fetch_top100(slug: str, force_refresh: bool = False) -> list:
"""Fetches Top 100 corrente per il genere.
1. Verifica slug in GENRES
2. Fetch pagina genre -> _discover_top100_url
3. Fetch pagina Top 100 -> _parse_tracks
4. Cache 15 min
Raises:
ValueError: slug non in GENRES
TraxsourceUnreachableError: rete/5xx dopo retry
TraxsourceParseError: HTML non conforme
"""
if slug not in GENRES:
raise ValueError(f"slug genere non valido: {slug!r}")
now = time.time()
if not force_refresh:
cached = _cache.get(slug)
if cached and (now - cached[0]) < _CACHE_TTL_SEC:
return cached[1]
gid, _name = GENRES[slug]
sess = _session()
genre_url = f"https://www.traxsource.com/genre/{gid}/{slug}"
genre_html = _do_get(sess, genre_url)
top100_path = _discover_top100_url(genre_html)
top100_url = "https://www.traxsource.com" + top100_path
top100_html = _do_get(sess, top100_url)
tracks = _parse_tracks(top100_html)
_cache[slug] = (now, tracks)
return tracks
+336 -13
View File
@@ -3,16 +3,28 @@
from __future__ import annotations
import json
import queue
import re
import shutil
import subprocess
import threading
from pathlib import Path
from typing import Callable, Optional
from core.paths import find_ytdlp, find_ffmpeg_dir, find_ffprobe, subprocess_flags
from core.paths import find_ytdlp, find_ffmpeg_dir, find_ffmpeg, find_ffprobe, subprocess_flags
AUDIO_EXTENSIONS = {".mp3", ".m4a", ".wav", ".flac"}
# Soglia minima Jaccard per considerare un file dell'archivio come candidato.
_ARCHIVE_MIN_SIMILARITY = 0.5
# Token di lunghezza inferiore a questa vengono scartati (troppo generici).
_MIN_TOKEN_LEN = 3
# Timeout massimo per singolo download yt-dlp (secondi). Watchdog kill.
# Serve a evitare hang su video geo-restricted, YouTube throttle o rete lenta.
_DOWNLOAD_TIMEOUT_SEC = 300
# Flag globale per interruzione
_stop_event = threading.Event()
_current_process: Optional[subprocess.Popen] = None
@@ -70,6 +82,143 @@ def get_bitrate(filepath: str | Path) -> int:
return 0
def _normalize_stem(stem: str) -> set:
"""Ritorna il set di token normalizzati per un nome file (senza extension).
Pipeline:
1. Lowercase
2. Sostituisce caratteri non alfanumerici con spazi (mantiene split naturale)
3. Split su whitespace
4. Filtra token di lunghezza < _MIN_TOKEN_LEN (troppo generici)
"""
if not stem:
return set()
lowered = stem.lower()
# Manteniamo spazi ma sostituiamo tutto il resto (che non è alfanumerico) con spazi
cleaned = re.sub(r"[^a-z0-9\s]+", " ", lowered)
tokens = cleaned.split()
return {t for t in tokens if len(t) >= _MIN_TOKEN_LEN}
def _tokens_to_key(tokens: set) -> str:
"""Chiave stabile per un set di token (usata come chiave del dict d'indice)."""
return "|".join(sorted(tokens))
def _key_to_tokens(key: str) -> set:
"""Inverso di _tokens_to_key."""
if not key:
return set()
return set(key.split("|"))
def _scan_archive(archive_dir: str) -> dict:
"""Indicizza recursivamente un archivio di file audio.
Ritorna dict {token_key: [Path, ...]}. La scansione è case-insensitive
sulle estensioni: `.MP3`, `.Mp3`, `.mp3` sono tutti riconosciuti.
"""
base = Path(archive_dir)
index: dict = {}
if not base.exists() or not base.is_dir():
return index
for f in base.rglob("*"):
if not f.is_file():
continue
if f.suffix.lower() not in AUDIO_EXTENSIONS:
continue
tokens = _normalize_stem(f.stem)
if not tokens:
continue
key = _tokens_to_key(tokens)
index.setdefault(key, []).append(f)
return index
def _find_candidates(
target_stem: str,
index: dict,
min_similarity: float = _ARCHIVE_MIN_SIMILARITY,
) -> list:
"""Cerca candidati nell'indice tramite Jaccard sui token del nome.
Ritorna lista di tuple `(path, similarity, bitrate)` ordinata per
bitrate DESC, poi similarity DESC.
"""
target_tokens = _normalize_stem(target_stem)
if not target_tokens:
return []
results: list = []
for key, paths in index.items():
entry_tokens = _key_to_tokens(key)
if not entry_tokens:
continue
common = len(target_tokens & entry_tokens)
if common == 0:
continue
total = len(target_tokens | entry_tokens)
if total == 0:
continue
sim = common / total
if sim < min_similarity:
continue
for p in paths:
try:
br = get_bitrate(p)
except Exception:
br = 0
results.append((p, sim, br))
# Ordina: bitrate DESC, poi similarity DESC (stabile)
results.sort(key=lambda t: (-t[2], -t[1]))
return results
def _copy_or_convert_to_mp3(
src: Path,
dst: Path,
temp_dir: Path,
) -> bool:
"""Copia (o converte se necessario) `src` in `dst` come MP3.
- Se src è già .mp3 → copia diretta con shutil.copy2
- Altrimenti → converti con ffmpeg a 320k CBR
Ritorna True in caso di successo.
"""
try:
if src.suffix.lower() == ".mp3":
# shutil.copy (non copy2): mtime del target = ora, non quello
# del sorgente. Così è chiaro nel Finder che il file è stato
# aggiornato dall'upgrade.
shutil.copy(str(src), str(dst))
return dst.exists()
# Convert non-mp3 -> mp3 320k
ffmpeg_bin = find_ffmpeg() or "ffmpeg"
temp_out = temp_dir / f"_archive_convert_{dst.stem}.mp3"
# -y per sovrascrivere se residuo di run precedente
subprocess.run(
[
ffmpeg_bin, "-y",
"-i", str(src),
"-vn", # scarta eventuali stream video/cover art (le riproviamo dopo)
"-c:a", "libmp3lame",
"-b:a", "320k",
"-id3v2_version", "3",
str(temp_out),
],
capture_output=True,
timeout=300,
**subprocess_flags(),
)
if not temp_out.exists():
return False
temp_out.replace(dst)
return True
except Exception:
return False
def _load_done_set(done_file: Path) -> set[str]:
if done_file.exists():
return set(done_file.read_text(encoding="utf-8").splitlines())
@@ -123,7 +272,7 @@ def update_cover_only(
"--output", str(temp_dir / "cover"),
video_url,
]
ffmpeg_dir = _find_ffmpeg_dir()
ffmpeg_dir = find_ffmpeg_dir()
if ffmpeg_dir:
cmd.extend(["--ffmpeg-location", ffmpeg_dir])
if cookies_path and Path(cookies_path).exists():
@@ -180,8 +329,21 @@ def upgrade_folder(
cookies_path: Optional[str] = None,
recursive: bool = False,
progress_callback: Optional[Callable] = None,
archive_dir: Optional[str] = None,
resolve_callback: Optional[Callable] = None,
) -> None:
"""Logica principale di upgrade qualita."""
"""Logica principale di upgrade qualita.
Args:
archive_dir: se presente, prima di scaricare da YouTube l'app cerca
una versione HQ del brano in questa cartella (recursive). Se ne
trova una la copia (o converte in mp3 320k) mantenendo il nome
originale.
resolve_callback: chiamato in caso di match multiplo nell'archivio.
Riceve una lista di dict {path, bitrate, size, similarity} e deve
ritornare bloccante un dict {'action': 'use_local'|'use_youtube'|
'skip', 'path': Optional[str]}.
"""
reset_stop()
ytdlp = find_ytdlp()
@@ -195,7 +357,7 @@ def upgrade_folder(
else:
folders = [Path(directory)]
all_items: list[tuple[Path, Path]] = []
all_items: list = []
for folder in folders:
for ext in AUDIO_EXTENSIONS:
for f in sorted(folder.glob(f"*{ext}")):
@@ -207,6 +369,16 @@ def upgrade_folder(
progress_callback(0, 0, "", "no_files", 0, 0)
return
# Pre-scan dell'archivio (una volta sola). Se archive_dir è None si salta.
archive_index: dict = {}
if archive_dir:
try:
archive_index = _scan_archive(archive_dir)
except Exception:
archive_index = {}
if progress_callback:
progress_callback(0, total, "", "scan_archive", 0, len(archive_index))
processed = 0
for filepath, folder in all_items:
@@ -230,6 +402,95 @@ def upgrade_folder(
current_kbps = get_bitrate(filepath)
# ------------------------------------------------------------------
# 1) ARCHIVE LOOKUP (se archive_dir presente)
# ------------------------------------------------------------------
if archive_index:
try:
candidates = _find_candidates(filename, archive_index)
except Exception:
candidates = []
selected_path: Optional[Path] = None
user_chose_youtube = False
user_chose_skip = False
if len(candidates) == 1:
selected_path = candidates[0][0]
elif len(candidates) >= 2 and resolve_callback is not None:
cand_payload = []
for cp, csim, cbr in candidates:
try:
csize = cp.stat().st_size
except Exception:
csize = 0
cand_payload.append({
"path": str(cp),
"bitrate": cbr,
"size": csize,
"similarity": csim,
})
if progress_callback:
progress_callback(processed, total, filepath.name,
"resolve_wait", current_kbps, 0)
try:
choice = resolve_callback(str(filepath), cand_payload) or {}
except Exception:
choice = {}
action = (choice.get("action") or "").strip()
if action == "use_local":
chosen = (choice.get("path") or "").strip()
if chosen:
cp = Path(chosen)
if cp.exists():
selected_path = cp
elif action == "use_youtube":
user_chose_youtube = True
elif action == "skip":
user_chose_skip = True
else:
# Risposta invalida: fallback su YouTube per non bloccare
user_chose_youtube = True
# len(candidates) >= 2 senza callback: fallback YouTube
# len(candidates) == 0: fallback YouTube
if user_chose_skip:
_mark_done(done_file, filename)
processed += 1
if progress_callback:
progress_callback(processed, total, filepath.name,
"skipped_by_user", current_kbps, 0)
continue
if selected_path is not None and not user_chose_youtube:
# Copia/converte il candidato locale come .mp3 con nome originale
dst = filepath.parent / f"{filename}.mp3"
if progress_callback:
progress_callback(processed, total, filepath.name,
"local_copy", current_kbps, 0)
# Rimuovi originale solo se ha estensione diversa (altrimenti
# verrà sovrascritto dalla copia)
try:
if filepath.exists() and filepath.resolve() != dst.resolve():
filepath.unlink()
except Exception:
pass
ok = _copy_or_convert_to_mp3(selected_path, dst, temp_dir)
if ok:
new_kbps = get_bitrate(dst)
_mark_done(done_file, filename)
_cleanup_temp(temp_dir)
processed += 1
if progress_callback:
progress_callback(processed, total, filepath.name,
"local_upgraded", current_kbps, new_kbps)
continue
# Copia fallita: fallback YouTube (non marchiamo done)
_cleanup_temp(temp_dir)
# ------------------------------------------------------------------
# 2) YOUTUBE FALLBACK (comportamento originale)
# ------------------------------------------------------------------
if progress_callback:
progress_callback(processed, total, filepath.name, "searching", current_kbps, 0)
@@ -288,17 +549,79 @@ def upgrade_folder(
cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True,
**subprocess_flags(),
)
proc = _current_process
for line in _current_process.stdout:
if is_stopped():
_current_process.terminate()
return
pct_match = re.search(r"(\d+(?:\.\d+)?)%", line)
if pct_match and progress_callback:
pct = int(float(pct_match.group(1)))
progress_callback(processed, total, filepath.name, "downloading", current_kbps, pct)
# Watchdog: kill del subprocess se supera _DOWNLOAD_TIMEOUT_SEC.
# Previene hang indefinito su video problematici (geo-block,
# YouTube throttle, rete lenta).
def _watchdog_kill():
try:
if proc.poll() is None:
proc.kill() # SIGKILL — SIGTERM può lasciare ffmpeg orfano che tiene aperto il pipe
except Exception:
pass
watchdog = threading.Timer(_DOWNLOAD_TIMEOUT_SEC, _watchdog_kill)
watchdog.daemon = True
watchdog.start()
# Lettore stdout in thread separato + queue: il main loop polla
# con timeout invece di bloccare su `for line in proc.stdout`.
# Cosi is_stopped() e proc.poll() vengono controllati periodicamente
# -> il bottone Stop risponde in <1s anche se il subprocess ha
# figli orfani (ffmpeg) che tengono aperto il pipe.
output_q: queue.Queue = queue.Queue()
def _reader():
try:
for line in proc.stdout:
output_q.put(line)
except Exception:
pass
finally:
output_q.put(None) # sentinel: pipe closed
reader = threading.Thread(target=_reader, daemon=True)
reader.start()
try:
while True:
if is_stopped():
try:
proc.kill()
except Exception:
pass
return
try:
line = output_q.get(timeout=0.5)
except queue.Empty:
# Se il subprocess e' morto e il pipe non produce piu' output
# (child orfano), esci comunque.
if proc.poll() is not None and output_q.empty():
# Aspetta ancora un attimo per drenare
try:
line = output_q.get(timeout=1.0)
except queue.Empty:
break
else:
continue
if line is None:
break
pct_match = re.search(r"(\d+(?:\.\d+)?)%", line)
if pct_match and progress_callback:
pct = int(float(pct_match.group(1)))
progress_callback(processed, total, filepath.name, "downloading", current_kbps, pct)
try:
proc.wait(timeout=10)
except subprocess.TimeoutExpired:
try:
proc.kill()
proc.wait(timeout=5)
except Exception:
pass
finally:
watchdog.cancel()
_current_process.wait()
with _process_lock:
_current_process = None
+83
View File
@@ -0,0 +1,83 @@
"""Ricerca su YouTube via yt-dlp (subprocess, flat playlist metadata)."""
from __future__ import annotations
import json
import subprocess
from core.paths import find_ytdlp, subprocess_flags
_TIMEOUT_SEC = 30
def search_youtube(query: str, limit: int = 50) -> list:
"""Cerca su YouTube (ytsearchN:query) e ritorna metadata "flat" (senza scaricare).
Args:
query: testo di ricerca libero
limit: numero massimo di risultati (default 50)
Returns:
list[dict] con {id, url, title, channel, duration_sec}. Vuota se nessun match.
Raises:
RuntimeError: se yt-dlp non disponibile, timeout, o exit non-zero.
"""
ytdlp = find_ytdlp()
if not ytdlp:
raise RuntimeError("yt-dlp non trovato nel bundle / PATH")
cmd = [
ytdlp,
"--flat-playlist",
"--dump-single-json",
"--no-warnings",
f"ytsearch{limit}:{query}",
]
try:
proc = subprocess.run(
cmd,
capture_output=True,
text=True,
timeout=_TIMEOUT_SEC,
**subprocess_flags(),
)
except subprocess.TimeoutExpired as e:
raise RuntimeError(f"Timeout ricerca YouTube ({_TIMEOUT_SEC}s)") from e
if proc.returncode != 0:
tail = (proc.stderr or "").strip().splitlines()[-3:]
raise RuntimeError(f"yt-dlp error: {' | '.join(tail) or 'unknown'}")
try:
data = json.loads(proc.stdout)
except json.JSONDecodeError as e:
raise RuntimeError(f"yt-dlp output non-JSON: {e}") from e
entries = data.get("entries") or []
result: list = []
for e in entries:
if not isinstance(e, dict):
continue
video_id = e.get("id") or ""
url = e.get("url") or (f"https://www.youtube.com/watch?v={video_id}" if video_id else "")
image_url = f"https://i.ytimg.com/vi/{video_id}/mqdefault.jpg" if video_id else ""
# yt-dlp `upload_date` è YYYYMMDD (stringa). Lo converto in ISO YYYY-MM-DD.
# Con --flat-playlist può essere assente; in tal caso resta stringa vuota.
raw_date = str(e.get("upload_date") or "").strip()
release_date = ""
if len(raw_date) == 8 and raw_date.isdigit():
release_date = f"{raw_date[0:4]}-{raw_date[4:6]}-{raw_date[6:8]}"
elif raw_date:
release_date = raw_date # forma sconosciuta, passa così
result.append({
"id": video_id,
"url": url,
"title": e.get("title") or "",
"channel": e.get("uploader") or e.get("channel") or "",
"duration_sec": int(e.get("duration") or 0),
"image_url": image_url,
"release_date": release_date,
})
return result
File diff suppressed because it is too large. Load diff
File diff suppressed because it is too large. Load diff
File diff suppressed because it is too large. Load diff
@@ -0,0 +1,325 @@
# Beatport Charts — Design Spec
- **Data:** 2026-07-14
- **Autore:** LuZa + Claude
- **Stato:** Approvato, pronto per implementation plan
- **Target release:** MusicTools v1.8.0
## Obiettivo
Aggiungere una nuova tab all'app desktop MusicTools che permetta di:
1. Scegliere un genere musicale da un elenco di ~30 generi Beatport
2. Caricare la classifica **Top 100** ufficiale di quel genere dal sito Beatport
3. Visualizzare i 100 brani in tabella con checkbox per scegliere quali scaricare
4. Scaricare i brani selezionati riusando il flusso esistente Spotify search → yt-dlp
Sostituisce il lavoro manuale attuale (l'utente copia/incolla la Top 100 in un file `.txt` che poi passa al downloader).
## Non-goals
Esplicitamente **fuori scope** in questa versione:
- Preview audio dei brani (snippet Beatport sono DRM protetti)
- Chart diverse dalla Top 100 (Hype 100, DJ Charts, weekly picks) — rinviato a v2
- Ricerca / filtro nella tabella (100 righe si scorrono senza)
- Refresh automatico della classifica
- Esportazione della lista come file `.txt`
- Auto-update della mappa dei generi (resta hardcoded, aggiornata a ogni release)
- Beatport account / login / preferiti utente
## Approccio scelto — Parse `__NEXT_DATA__`
Beatport è costruito su Next.js. Ogni pagina di classifica include un tag `<script id="__NEXT_DATA__" type="application/json">…</script>` con il payload completo della pagina in JSON strutturato: id, artist, title, mix, duration, chart position, label, key, BPM. Il parser:
1. `GET https://www.beatport.com/genre/<slug>/<id>/top-100` con User-Agent browser
2. `re.search(r'<script id="__NEXT_DATA__"[^>]*>(.+?)</script>', html)` per estrarre il JSON
3. `json.loads` + walk fino ai 100 track object
4. Mappa in dataclass `BeatportTrack`
**Vantaggi:** dati strutturati, robusto ai cambi di layout CSS, un solo GET per 100 brani.
**Alternative scartate:**
- BeautifulSoup su CSS class → i class name Next.js sono hash generati, si rompono a ogni build Beatport
- API interna `api.beatport.com` → richiede OAuth token, User-Agent specifici, ToS espressamente vietano l'uso non autorizzato → rischio ban
## Architettura
### Nuovi moduli
#### `core/beatport.py` (nuovo)
```python
from dataclasses import dataclass
from typing import Optional
GENRES: dict[str, tuple[int, str]] = {
"melodic-house-techno": (90, "Melodic House & Techno"),
"techno-peak-time-driving": (6, "Techno (Peak Time / Driving)"),
"techno-raw-deep-hypnotic": (92, "Techno (Raw / Deep / Hypnotic)"),
"deep-house": (12, "Deep House"),
"tech-house": (11, "Tech House"),
"progressive-house": (15, "Progressive House"),
"house": (5, "House"),
"afro-house": (89, "Afro House"),
"organic-house-downtempo": (93, "Organic House / Downtempo"),
"trance": (7, "Trance"),
"drum-bass": (1, "Drum & Bass"),
"dubstep": (18, "Dubstep"),
"minimal-deep-tech": (14, "Minimal / Deep Tech"),
"indie-dance": (37, "Indie Dance"),
# NOTA: la mappa completa (~30 slug/id) va enumerata in fase di
# implementazione recuperando gli slug + numeric id dalla pagina
# https://www.beatport.com/genres — lo script che li estrae va
# committato in `scripts/refresh_beatport_genres.py` per potervi
# rifare la refresh a mano quando Beatport aggiunge/rimuove generi.
}
@dataclass(frozen=True)
class BeatportTrack:
position: int
title: str
mix: str
artists: str # "A, B & C" già formattato
duration_sec: int
beatport_id: int
@property
def display(self) -> str:
"""Formato compatibile con i file .txt esistenti:
'Artista – Titolo (Mix) (M:SS)'"""
m, s = divmod(self.duration_sec, 60)
return f"{self.artists} – {self.title} ({self.mix}) ({m}:{s:02d})"
@property
def spotify_query(self) -> str:
return f"{self.artists} {self.title}"
class BeatportError(Exception): pass
class BeatportUnreachableError(BeatportError): pass
class BeatportParseError(BeatportError): pass
def fetch_top100(slug: str, force_refresh: bool = False) -> list[BeatportTrack]:
"""Fetches Top 100 per il genere. Cache in-memory 15 min.
Solleva ValueError se slug non valido, BeatportUnreachableError su rete,
BeatportParseError su schema cambiato."""
...
def list_genres() -> list[dict]:
"""Ritorna [{slug, id, name}, ...] ordinato alfabeticamente per name."""
...
```
Cache in-memory: `dict[slug, tuple[timestamp, list[BeatportTrack]]]`, TTL 900s.
Retry: 2 tentativi con backoff 1s, 3s.
User-Agent: `"Mozilla/5.0 (Macintosh; Intel Mac OS X 14_0) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.0 Safari/605.1.15"` (aggiornato per release).
#### `main.py` — nuove API pywebview esposte al JS
```python
class Api:
# …esistenti
def beatport_genres(self) -> list[dict]:
return beatport.list_genres()
def beatport_fetch_chart(self, slug: str, force_refresh: bool = False) -> dict:
try:
tracks = beatport.fetch_top100(slug, force_refresh=force_refresh)
return {"ok": True, "tracks": [asdict(t) for t in tracks]}
except ValueError as e:
return {"ok": False, "error": "invalid_genre", "message": str(e)}
except BeatportUnreachableError as e:
return {"ok": False, "error": "unreachable", "message": str(e)}
except BeatportParseError as e:
return {"ok": False, "error": "parse", "message": str(e)}
def beatport_check_existing(self, tracks: list[dict], genre_name: str) -> list[bool]:
"""Ritorna una lista di boolean: True se il file esiste già in output_dir/Beatport/<Genre>/."""
...
def beatport_download_selected(
self,
tracks: list[dict],
genre_name: str,
) -> None:
"""Loop: per ogni track, spotify search → downloader.
Emette log/progress sugli stessi eventi degli altri download."""
...
```
### Riuso codice esistente
- `core/spotify_client.py`: usa `search_track(query) -> Optional[str]` per ottenere lo Spotify URI (o il track object). **Da verificare in fase di implementazione** se il metodo esiste già come funzione pubblica riutilizzabile — se no, estrai la logica di search dal path esistente `download_from_spotify_url` in una funzione pubblica dedicata (refactor mirato, no cambi di comportamento per gli altri consumatori).
- `core/downloader.py`: usa il path Spotify URI → yt-dlp esistente. `request_stop()` / `reset_stop()` già disponibili.
- `webui/js/app.js`: riusa il pattern log/progress già in uso per le altre tab.
- `core/config.py`: aggiunge un solo nuovo campo `beatport_last_genre: str` ai DEFAULTS.
### Frontend
**Nuova tab in `webui/index.html`:**
```html
<button data-tab="beatport" class="tab-btn">🎧 Beatport</button>
<section id="tab-beatport" class="tab-panel">
<div class="beatport-header">
<label>Genere:
<select id="beatport-genre"></select>
</label>
<button id="beatport-load">Carica Top 100</button>
<div id="beatport-output-info"></div>
</div>
<div id="beatport-status"></div>
<table id="beatport-table" hidden>
<thead>
<tr>
<th><input type="checkbox" id="beatport-select-all"></th>
<th>#</th><th>Artista</th><th>Titolo</th><th>Durata</th>
</tr>
</thead>
<tbody></tbody>
</table>
<div class="beatport-toolbar" hidden>
<span id="beatport-selected-count">0/0 selezionati</span>
<button id="beatport-download">⬇ Scarica selezionati</button>
<button id="beatport-stop" hidden>■ Interrompi</button>
</div>
<div id="beatport-log" class="log-area"></div>
</section>
```
**JavaScript in `webui/js/app.js`:** funzioni `beatportInit()`, `beatportLoadChart()`, `beatportRenderTable(tracks)`, `beatportUpdateSelection()`, `beatportStartDownload()`. Stato locale: `let currentChart = { slug, name, tracks: [] }`.
### Persistenza
- Ultimo genere selezionato → `config.beatport_last_genre`
- File scaricati → rilevati con `os.path.exists()` sul filename generato dal downloader (stesso pattern degli altri tab)
- Cache classifica → solo in-memory, si perde a restart (voluto)
### Percorso output
`{output_dir}/Beatport/{Genre Display Name}/`
Es. `/Users/luciano/MUSICA/Beatport/Melodic House & Techno/Kapuchon - Hot Sauce (Extended).mp3`
## Data flow
```
[JS] User seleziona genere, click "Carica Top 100"
↓
[JS] api.beatport_fetch_chart("melodic-house-techno")
↓
[PY] core/beatport.fetch_top100():
├─ Cache hit (< 15 min)? → ritorna cached
└─ GET Beatport, estrai __NEXT_DATA__, parse, mappa in BeatportTrack[]
↓
[JS] Riceve lista, chiama api.beatport_check_existing() per pre-deselezionare i già-scaricati
↓
[JS] Renderizza tabella
↓
[JS] User seleziona/deseleziona, click "Scarica selezionati"
↓
[JS] api.beatport_download_selected(tracks_selected, genre_name)
↓
[PY] Loop su tracks:
├─ emit log "[i/N] Cerco su Spotify: <artista – titolo>"
├─ spotify_uri = spotify_client.search_track(track.spotify_query)
├─ Se None: emit ✗, continua
├─ emit log "[i/N] Download da YouTube…"
├─ downloader.download_from_spotify_uri(uri, output_dir=<beatport-subdir>)
├─ emit log "[i/N] ✓" o "[i/N] ✗ <motivo>"
└─ Se stop_event.is_set(): break
```
## Matrice errori & recovery
| Errore | Dove | Cosa succede |
|---|---|---|
| Beatport 5xx / timeout | fetch_top100 | Retry ×2 con backoff 1s, 3s. Poi solleva `BeatportUnreachableError`. UI: banner rosso "Beatport irraggiungibile. Riprova." con retry |
| `__NEXT_DATA__` mancante / schema cambiato | fetch_top100 | Dump primi 500 char HTML in `~/Library/Logs/MusicTools/beatport-<ts>.log`, solleva `BeatportParseError`. UI: banner arancione "Impossibile leggere la classifica. Segnala il bug." |
| Genere non valido | fetch_top100 | `ValueError` early, nessuna richiesta di rete |
| Spotify search no match | download loop | Log riga singola, marca riga tabella ✗ "non trovato", continua |
| Spotify creds mancanti | download loop, primo brano | Interrompe subito, banner giallo con link a tab Impostazioni |
| yt-dlp fallisce | download loop | Log riga singola ✗, continua con il resto |
| Cartella output non scrivibile | pre-check prima del loop | Errore + banner rosso, non parte |
| User preme Stop | download loop | `stop_event.set()`, si ferma dopo il brano corrente |
| Cache stale | fetch_top100 | Shift+click su "Carica" invalida (`force_refresh=True`); comunque expira dopo 15 min |
## Rispetto Beatport / rate limiting
- Un solo GET per classifica (100 brani in un JSON)
- Cache 15 min → max 4 richieste/ora anche con click ripetuti
- User-Agent browser, no scraping massivo
- Zero rischio ban IP in uso normale
## Licenza / piani
La feature è un audio download a tutti gli effetti → il `daily_limit` del piano si applica automaticamente (ogni brano scaricato conta come 1). Il piano `basic` con limite 10/giorno può scaricare al massimo 10 brani dalla Top 100. **Nessuna nuova feature-flag in `server/src/plans.js`.** Il gating avviene già nel downloader esistente.
## Testing
### Unit tests — `tests/test_beatport.py`
Nessuna rete durante i test. Fixture: snapshot HTML reale della pagina Beatport in `tests/fixtures/beatport_melodic_top100.html`.
| Test | Verifica |
|---|---|
| `test_parse_next_data_extracts_100_tracks` | Il parser trova esattamente 100 track dall'HTML fixture |
| `test_track_shape` | Ogni track ha position, title, mix, artists, duration_sec, beatport_id |
| `test_positions_sequential` | Posizioni 1..100 senza buchi |
| `test_display_format_matches_txt_files` | `BeatportTrack.display` produce esattamente il formato dei file `.txt` attuali |
| `test_parse_missing_next_data_raises` | HTML senza `<script id="__NEXT_DATA__">` → `BeatportParseError` |
| `test_parse_malformed_json_raises` | `__NEXT_DATA__` con JSON rotto → `BeatportParseError` |
| `test_parse_schema_change_raises` | JSON valido ma senza `results[]` → `BeatportParseError` con contesto |
| `test_cache_hit_second_call` | 2 chiamate ravvicinate → una sola richiesta HTTP simulata |
| `test_cache_expires_after_15min` | Freeze time + 16min → nuova richiesta |
| `test_force_refresh_bypasses_cache` | `force_refresh=True` ignora cache anche fresca |
| `test_invalid_genre_slug_early_error` | Slug non in `GENRES` → `ValueError` senza toccare la rete |
### Test HTTP mockato
`responses` (o `httpx` mock) per verificare timeout, retry policy, User-Agent inviato.
### Test manuale end-to-end (obbligatorio prima del release)
1. Avvia MusicTools, apri tab Beatport
2. Seleziona "Melodic House & Techno" → click "Carica Top 100" → tabella si popola in <3s
3. Deseleziona 90 brani, lascia i primi 10 → click "Scarica selezionati (10)"
4. Verifica file .mp3 in `{output_dir}/Beatport/Melodic House & Techno/`, metadata Spotify complete
5. Ricarica lo stesso genere → cache hit (nessuna nuova request osservabile in dev tools)
6. Cambia genere → nuova fetch
7. Interrompi a metà download → si ferma pulito dopo il brano corrente
8. Riavvia app → dropdown ricorda l'ultimo genere
## Rollout
1. Branch `feat/beatport-charts` (opzionale — la feature è additive, zero rischi per il resto)
2. Bump `core/config.py` VERSION → `v1.8.0`
3. Note release in `/tmp/notes-v1.8.0.md`:
> **Nuova tab Beatport 🎧** — carica le Top 100 per genere direttamente da Beatport e scarica i brani in un click. 30+ generi disponibili.
4. Commit + tag `v1.8.0` → CI builda macOS + Windows come da flusso standard
5. Zero cambi lato server (`~/api/`), zero migration DB
## Struttura file impattati
**Nuovi:**
- `core/beatport.py`
- `tests/test_beatport.py`
- `tests/fixtures/beatport_melodic_top100.html`
**Modificati:**
- `main.py` — 4 nuovi metodi `Api.beatport_*`
- `core/config.py` — VERSION bump + campo `beatport_last_genre` in DEFAULTS
- `core/spotify_client.py` — espone `search_track()` come funzione pubblica se non lo è già
- `webui/index.html` — nuovo tab button + section
- `webui/js/app.js` — funzioni `beatport*`
- `webui/css/*.css` — stile tabella e toolbar (riuso classi esistenti dove possibile)
- `requirements.txt` — nessuna nuova dipendenza runtime (`requests` è già presente per gli altri client HTTP; `__NEXT_DATA__` si estrae con `re.search` + `json.loads`, no BeautifulSoup necessario). Solo dev dep: `responses` per i test HTTP mockati se non già presente
@@ -0,0 +1,260 @@
# Music Search (Spotify + YouTube) — Design Spec
- **Data:** 2026-07-14
- **Autore:** LuZa + Claude
- **Stato:** Approvato, pronto per implementation plan
- **Target release:** MusicTools v1.8.1
## Obiettivo
Aggiungere due tab distinte all'app che permettano di **cercare brani/artisti/parole libere** e scaricarli:
1. **Tab 🟢 Spotify** — ricerca via Spotify API (canonica, metadata pulita). Toggle "Solo artista" per ottenere tutta la discografia di un artista invece della ricerca libera.
2. **Tab ▶ YouTube** — ricerca diretta via `yt-dlp ytsearch:` (grezza, senza distinzione artista/album, ma copre mix DJ, unreleased, bootleg, live, video-only content).
Il download in entrambi i casi riusa la pipeline esistente (`start_tracks_download` in `api/bridge.py`) con licenza gate `_gate("audio")`.
## Non-goals
- Un'unica tab "Cerca" con radio Spotify/YouTube (scartato: UX molto diversa per le due sorgenti)
- Ricerca combinata Spotify+YouTube in un'unica lista (nessuna deduplica cross-source affidabile)
- Playlist temporanee salvabili
- Preview audio
- Filtri per genere/anno/BPM (non richiesto, YAGNI)
- Ricerca album, artisti, playlist su Spotify (limitata a track)
- Autocomplete / suggestions come digiti
## Approcci scelti
### Spotify
- Free-form search: `GET /v1/search?q=<query>&type=track&limit=50`
- Ritorna fino a 50 track ordinati per rilevanza/popolarità (default Spotify)
- Query può essere qualsiasi cosa: titolo, artista, "artista - titolo", parola singola
- Artist-mode (toggle attivo):
1. `GET /v1/search?q=<query>&type=artist&limit=5` → prendi il match con `name.lower() == query.lower()` altrimenti il più popolare
2. `GET /v1/artists/{id}/top-tracks?market=IT` → ~10 top track
3. `GET /v1/artists/{id}/albums?include_groups=album,single&limit=50&market=IT` → lista album
4. Per ogni album (max 50): `GET /v1/albums/{id}/tracks?limit=50` → tracce
5. Deduplica su `(name.lower().strip() + '|' + first_artist.lower().strip())`
6. Rate limit interno: `time.sleep(0.1)` tra chiamate `/albums/{id}/tracks`
7. Total: ~100-500 track per artista prolifico
**Vantaggi:** metadata pulita, download pipeline già rodata (Spotify→YouTube via yt-dlp).
### YouTube
- `yt-dlp --flat-playlist --dump-single-json "ytsearch50:<query>"` → JSON con `entries[]`
- Per ogni entry: `{title, uploader/channel, duration, id, url}`
- Nessuna modalità artista (YouTube search non ha channel-exact disambiguation affidabile)
**Vantaggi:** trova ciò che Spotify non ha (mix, unreleased, bootleg, live).
## Architettura
### Nuovi moduli / estensioni
#### `core/spotify_client.py` (estensione)
```python
def search_tracks(token: str, query: str, limit: int = 50) -> list:
"""Ricerca free-form. Ritorna list[dict] con {id, url, name, artists, album, duration_sec}."""
def search_artist_discography(token: str, artist_name: str) -> list:
"""Trova l'artista esatto e ritorna tutti i suoi brani (top tracks + tracce da album/singles).
Deduplica per (title, first_artist) normalizzato. Solleva ValueError se nessun artista trovato."""
```
Nota: la funzione `search_track` (singolare) aggiunta in Task 7 di Beatport resta com'è per retro-compatibilità. La nuova `search_tracks` (plurale, con limit) è quella usata da questa feature.
#### `core/youtube_search.py` (nuovo)
```python
def search_youtube(query: str, limit: int = 50) -> list:
"""Cerca su YouTube via `yt-dlp ytsearchN:query`.
Ritorna list[dict] con {id, url, title, channel, duration_sec}."""
```
Riusa `find_ytdlp()` e `subprocess_flags()` da `core/paths.py`. Timeout subprocess 30s.
#### `api/bridge.py` — nuovi metodi
- `spotify_search(query: str, artist_mode: bool) → dict` — salva query+toggle in config, poi chiama la funzione giusta e ritorna `{ok, tracks}` o `{ok:false, error, message}`
- `spotify_search_download(tracks: list) → dict` — wrapper del pattern Beatport: converte in `[{name, artist}]` e chiama `start_tracks_download` con `subfolder="Spotify"`
- `youtube_search(query: str) → dict` — salva query in config, chiama `core.youtube_search`, ritorna `{ok, tracks}`
- `youtube_search_download(tracks: list) → dict` — chiama nuovo helper `start_urls_download` (see below) con URL YouTube e `subfolder="YouTube"`
#### `api/bridge.py` — nuovo helper (se non c'è già)
- `start_urls_download(payload: dict) → dict` — analogo a `start_tracks_download` ma accetta `{urls: [str], output_dir, subfolder}` e chiama `download_playlist_from_urls(urls, ...)` in `core/downloader.py`. Se non esiste una funzione equivalente in `downloader.py`, va aggiunta.
**Verifica in implementazione:** controlla se `download_playlist(tracks, ...)` può ricevere tracks contenenti solo `url` (bypass search); in tal caso riusa quella. Altrimenti aggiungi il nuovo path.
### Frontend
- 2 nuove tab in sidebar (`data-view="spotify"` e `data-view="youtube"`), entrambe con `data-feature="audio"` (stesso license gate del Beatport)
- 2 nuove section `<section id="view-spotify">` e `<section id="view-youtube">` in `webui/index.html`
- Modulo JS `SpotifyUI` e `YoutubeUI` in `webui/js/app.js`, entrambi con pattern init/loadResults/renderTable/updateSelection/startDownload (parallelo a `BeatportUI`)
- Stili in `webui/css/style.css` — riusa `.beatport-table` come base, aggiunge varianti dove serve
### Persistenza
3 nuovi campi in `core/config.py::DEFAULTS`:
- `spotify_search_last_query: str = ""`
- `spotify_search_artist_mode: bool = False`
- `youtube_search_last_query: str = ""`
Salvati dal backend a ogni ricerca (analogo a `beatport_last_genre`).
### Cartelle output
- `{output_dir}/Spotify/` (piatta, nessun sub-folder per query)
- `{output_dir}/YouTube/` (piatta)
Sanitizzazione slash coerente con il pattern di `start_tracks_download` (subfolder singolo, no nested).
## Data flow
### Spotify search
```
[JS] User digita query, opzionale toggle "Solo artista", click Cerca
↓
[JS] api.spotify_search(query, artist_mode)
↓
[PY] api/bridge.py::spotify_search():
├─ Salva {spotify_search_last_query, spotify_search_artist_mode} in config
├─ Verifica creds Spotify (client_id, client_secret) → altrimenti {ok:false, error:"no_creds"}
├─ Get token (spotify_client.get_access_token)
├─ Se artist_mode:
│ └─ spotify_client.search_artist_discography(token, query)
├─ Altrimenti:
│ └─ spotify_client.search_tracks(token, query, limit=50)
└─ Ritorna {ok:True, tracks: [...]}
↓
[JS] Riceve lista, chiama api.spotify_check_existing() per pre-deselezionare i già-scaricati
↓
[JS] Renderizza tabella (colonne: check, #, artista, titolo, album, durata, stato)
↓
[JS] User seleziona, click "Scarica selezionati"
↓
[JS] api.spotify_search_download(tracks_selected)
↓
[PY] converte in [{name, artist}] e chiama self.start_tracks_download({..., subfolder: "Spotify"})
↓
[EXISTING] pipeline yt-dlp, log/progress su canale "download"
```
### YouTube search
```
[JS] User digita query, click Cerca
↓
[JS] api.youtube_search(query)
↓
[PY] api/bridge.py::youtube_search():
├─ Salva youtube_search_last_query in config
├─ core.youtube_search.search_youtube(query, limit=50)
│ └─ subprocess: yt-dlp --flat-playlist --dump-single-json "ytsearch50:<query>"
└─ Ritorna {ok:True, tracks: [{id, url, title, channel, duration_sec}, ...]}
↓
[JS] Renderizza tabella (colonne: check, #, titolo video, canale, durata, stato)
↓
[JS] User seleziona, click "Scarica selezionati"
↓
[JS] api.youtube_search_download(tracks_selected) # passa URL, non {name,artist}
↓
[PY] start_urls_download({urls, subfolder: "YouTube"})
↓
[EXISTING] pipeline yt-dlp diretto sugli URL
```
## Matrice errori & recovery
| Errore | Dove | Comportamento |
|---|---|---|
| Query vuota | UI JS | Bottone "Cerca" disabilitato, nessuna richiesta |
| Creds Spotify mancanti | spotify_search | `{ok:false, error:"no_creds"}` → banner giallo con link Impostazioni |
| Spotify 401 (token scaduto/invalid) | get_access_token | Refresh token nel handler; se persiste, banner rosso |
| Spotify 429 rate limit | search endpoint | `{ok:false, error:"rate_limit", message:"Attendi qualche secondo"}` → banner arancione, retry manuale |
| Spotify 5xx | search endpoint | `{ok:false, error:"server", message:...}` → banner rosso, retry |
| Nessun risultato Spotify | search endpoint | `{ok:true, tracks:[]}` → messaggio grigio "Nessun brano trovato per '<query>'" |
| Artist-mode senza match esatto | search_artist_discography | Solleva ValueError → `{ok:false, error:"artist_not_found", message:"Artista '<q>' non trovato — disattiva toggle per ricerca libera"}` |
| yt-dlp non trovato | search_youtube | RuntimeError → banner rosso "yt-dlp non installato" |
| yt-dlp timeout (rete lenta) | search_youtube | subprocess.TimeoutExpired → banner rosso "Timeout ricerca YouTube" |
| yt-dlp errore generico | search_youtube | Non-zero exit → banner rosso con stderr tail |
| Nessun risultato YouTube | search_youtube | `{ok:true, tracks:[]}` → messaggio grigio |
| User preme Stop durante download | download pipeline | Comportamento invariato (esistente) |
## Licenza / piani
Entrambe le tab sono audio download → gate `_gate("audio")` automatico via `start_tracks_download` / `start_urls_download`. Il `daily_limit` del piano si applica. Nessuna nuova feature-flag.
## Testing
### Unit tests
**`tests/test_spotify_client.py` (estensione):**
- `test_search_tracks_returns_list_up_to_limit` — mock response con 50 items, verifica list length
- `test_search_tracks_maps_fields_correctly` — sample dict → verifica keys {id, url, name, artists, album, duration_sec}
- `test_search_tracks_empty_query_returns_empty` — mock 0 items
- `test_search_artist_discography_exact_match_wins` — mock search artist con 3 candidati diversi, verifica quello esatto (case-insensitive)
- `test_search_artist_discography_top_tracks_and_albums_combined` — mock 3 endpoint, verifica deduplica
- `test_search_artist_discography_raises_when_no_match` — mock search artist con 0 risultati → ValueError
- `test_search_artist_discography_deduplicates` — mock top-tracks e album-tracks con overlap → verifica no duplicati
**`tests/test_youtube_search.py` (nuovo):**
- `test_search_youtube_parses_entries` — mock `subprocess.run` con JSON stub (5 entries), verifica list mapping
- `test_search_youtube_empty_result` — mock JSON senza entries → []
- `test_search_youtube_ytdlp_not_found` — mock `find_ytdlp` che ritorna None → RuntimeError
- `test_search_youtube_timeout` — mock subprocess.TimeoutExpired → RuntimeError
### Test manuale end-to-end
**Tab Spotify:**
1. Query semplice: "Solomun" senza toggle → 50 risultati, ordinati per rilevanza
2. Query composta: "Kapuchon Hot Sauce" → 5-10 risultati pertinenti
3. Artist mode: "Solomun" con toggle attivo → 100-300 risultati (top tracks + tutti album)
4. Artist mode con nome inesistente: "sadgjhkasdg" → banner "Artista non trovato"
5. Download di 3 brani → file in `MUSICA/Spotify/`
6. Ricerca ripetuta → "già scaricato" mostrato correttamente
7. Riavvio app → ultima query + toggle ricordati
**Tab YouTube:**
1. Query: "Kapuchon Hot Sauce" → 50 risultati con canali diversi
2. Query set DJ: "Solomun Cocoricò 2024" → set lunghi (60+ min) in lista
3. Download di 2 brani → file in `MUSICA/YouTube/`
4. Query vuota → bottone disabilitato
5. Riavvio → ultima query ricordata
## Rollout
1. Branch `feat/music-search`
2. Bump `core/config.py::VERSION` → `v1.8.1`
3. Note release `/tmp/notes-v1.8.1.md`:
> **Nuove tab Spotify e YouTube 🔎** — cerca brani per titolo o artista su Spotify (con toggle "solo artista" per scaricare tutta la discografia), oppure cerca su YouTube per trovare mix DJ, unreleased, bootleg e brani non presenti su Spotify.
4. Commit + tag `v1.8.1` → CI + release notes background task
5. Update DB `releases` tabella sul server (macos + windows rows)
Zero cambi server-side backend, zero migration.
## Struttura file impattati
**Nuovi:**
- `core/youtube_search.py`
- `tests/test_youtube_search.py`
**Modificati:**
- `core/spotify_client.py` — 2 nuove funzioni pubbliche (`search_tracks`, `search_artist_discography`)
- `core/downloader.py` — se serve, aggiunta `download_playlist_from_urls()` per il flusso YouTube
- `core/config.py` — VERSION bump + 3 nuovi campi in DEFAULTS
- `api/bridge.py` — 6 nuovi metodi Api: `spotify_search`, `spotify_check_existing`, `spotify_search_download`, `youtube_search`, `youtube_check_existing`, `youtube_search_download` + eventuale helper `start_urls_download`
- `tests/test_spotify_client.py` — 7 nuovi test
- `webui/index.html` — 2 nav-item + 2 sezioni view
- `webui/js/app.js` — moduli `SpotifyUI` e `YoutubeUI` (~200 righe cadauno, parallelo a `BeatportUI`)
- `webui/css/style.css` — piccole estensioni (o riuso classi Beatport)
- `requirements.txt` — nessuna nuova dep
## Riduzione della duplicazione
Se durante l'implementazione emerge che i 3 pannelli (Beatport, Spotify, YouTube) hanno logica JS quasi identica (renderTable con checkbox, updateSelectionCount, startDownload wrapper), **valuta** l'estrazione di un `SelectableTracksTable` component in `webui/js/app.js`. Se l'astrazione è chiara e riduce codice significativamente, fallo. Se costringe a hooks/callbacks tortuosi per gestire differenze di colonne, lascia stare — 3 istanze non sono tante e YAGNI.
@@ -0,0 +1,256 @@
# Traxsource Charts — Design Spec
- **Data:** 2026-08-01
- **Autore:** LuZa + Claude
- **Stato:** Approvato, pronto per implementation plan
- **Target release:** MusicTools v1.9.0
## Obiettivo
Nuova tab "▲ Traxsource" nell'app che permette di:
1. Scegliere un genere musicale da un elenco di ~15 generi Traxsource
2. Caricare la **Top 100** ufficiale del mese corrente per quel genere
3. Anteprima checkbox + download riusando il pipeline esistente (Spotify search → yt-dlp → tag ID3 + cover)
Sostituisce l'attività manuale di copiare/incollare tracklist Traxsource.
## Non-goals
- Chart diverse dalla Top 100 (Must Have, Just Added, ecc.)
- Ricerca artista/label specifica su Traxsource
- Preview audio (Traxsource ha DRM)
- Duration tracks (non è nell'HTML della lista; sarebbe una richiesta extra per track)
- Login/account Traxsource
## Ricognizione tecnica (fatta 2026-08-01)
- **Cloudflare Managed Challenge attivo** su tutte le pagine tranne home e /top. Bypass: session-based con `curl_cffi.Session(impersonate='chrome131')`, prima GET a `/`, poi le pagine sensibili con `Referer: https://www.traxsource.com/`.
- **Non è Next.js** → no `__NEXT_DATA__`. HTML server-rendered.
- **Struttura URL:**
- Genre index: `/genre/<id>/<slug>` — es. `/genre/18/tech-house`. Contiene solo 10 top track più altri widget
- Top 100 corrente: `/title/<title_id>/top-100-<genre>-of-<month>-<year>` — es. `/title/2847986/top-100-tech-house-of-july-2026`. Contiene 100 track completi in un unico documento (~394KB)
- **Il title_id cambia ogni mese.** Non è hardcodabile. Va scoperto dinamicamente
- **Discovery Top 100 URL:** nella pagina `/genre/<id>/<slug>` c'è (almeno un) `<a href="/title/<id>/top-100-<slug>-of-<month>-<year>">`. Estrai col regex `href="(/title/\d+/top-100-[a-z0-9-]+)"`
- **Track markup (stabile):**
```html
<div data-trid="14842066" class="top-item play-trk ptk-14842066">
<div class="ttib position">1</div>
<div class="image"><img src="https://.../52x52/HASH.jpg" /></div>
<div class="ttib info">
<a href="/track/14842066/badman-sound-extended-mix" class="com-title">Badman Sound (Extended Mix)</a>
<a href="/artist/92248/hannah-wants" class="com-artists">Hannah Wants</a>,
<a href="/artist/321517/trace" class="com-artists">Trace</a>
<a href="/label/325/nervous" class="com-label">Nervous</a>
</div>
</div>
```
Class names sono stabili (semantici, non generati da bundler).
- **Cover art:** URL contiene la size (`/52x52/`). Sostituendo con `/500x500/` si ottiene la versione grande per tagging ID3.
## Approccio scelto
- Session `curl_cffi` con `impersonate='chrome131'`. Cookie CF conservati automaticamente. Preriscaldamento con GET a `/` al primo utilizzo.
- Parser: `BeautifulSoup4` con selettori CSS puliti — `div.top-item.play-trk` per righe, `a.com-title` per titolo, `a.com-artists` per artisti, `a.com-label` per label, `div.ttib.position` per rank, `img` per cover URL.
- Regex sul titolo per estrarre "mix name" tra parentesi: `Song Title (Extended Mix)` → title="Song Title", mix="Extended Mix".
- Cache in-memory 15 min per la lista, come Beatport.
- Genere → (numeric_id, slug, display_name) map hardcoded (estratti dalla home /top).
**Alternative scartate:**
- `requests` puro: bloccato da CF, verificato
- API interna Traxsource: non esistono API pubbliche gratuite documentate; reverse engineering rischio ban
- Playwright: overkill (~100MB dep) quando session + BeautifulSoup basta
## Architettura
### Nuovo modulo `core/traxsource.py`
```python
from __future__ import annotations
from dataclasses import dataclass
from typing import Optional
# Mappa slug → (numeric_id, display_name)
# Verificati 2026-08-01 dalla home /top di Traxsource
GENRES: dict = {
"afro-house": (33, "Afro House"),
"afro-latin-brazilian": (23, "Afro / Latin / Brazilian"),
"amapiano": (37, "Amapiano"),
"bass-club": (25, "Bass / Club"),
"breaks-uk-bass": (14, "Breaks / UK Bass"),
"classic-house": (12, "Classic House"),
"deep-house": (13, "Deep House"),
"dj-tools": (16, "DJ Tools"),
"downtempo-nu-disco-indie-dance": (22, "Downtempo / Nu Disco / Indie Dance"),
"electronica": (5, "Electronica"),
"electro-house": (11, "Electro House"),
"funky-jackin-groovy": (15, "Funky / Jackin / Groovy"),
"garage": (29, "Garage"),
"house": (1, "House"),
"lounge-chill-out": (10, "Lounge / Chill Out"),
"melodic-house-techno-progressive-house": (34, "Melodic House / Techno / Progressive House"),
"minimal-deep-tech": (27, "Minimal / Deep Tech"),
"organic-house-downtempo": (36, "Organic House / Downtempo"),
"progressive-house": (28, "Progressive House"),
"r-and-b-hip-hop": (6, "R&B / Hip Hop"),
"soulful-house": (24, "Soulful House"),
"tech-house": (18, "Tech House"),
"techno-peak-time-driving": (26, "Techno (Peak Time / Driving)"),
"techno-raw-deep-hypnotic": (32, "Techno (Raw / Deep / Hypnotic)"),
"trance": (30, "Trance"),
"world-reggae": (21, "World / Reggae"),
}
# NOTA: la mappa è enumerata in fase di implementazione fetchando /top con curl_cffi
# e cercando href="/genre/<id>/<slug>". Vedi Task 1 del plan.
@dataclass(frozen=True)
class TraxsourceTrack:
position: int
title: str
mix: str
artists: str # "A, B & C" formattato
label: str
traxsource_id: int
slug: str
image_url: str = "" # URL thumbnail (per UI)
cover_url_large: str = "" # URL cover 500x500 (per tagging)
class TraxsourceError(Exception): pass
class TraxsourceUnreachableError(TraxsourceError): pass
class TraxsourceParseError(TraxsourceError): pass
def list_genres() -> list:
"""Ritorna [{slug, id, name}, ...] ordinato alfabeticamente per name."""
def fetch_top100(slug: str, force_refresh: bool = False) -> list[TraxsourceTrack]:
"""Fetches Top 100 corrente per il genere.
1. Scopre l'URL della playlist Top 100 del mese via GET /genre/<id>/<slug>
2. Fetch della playlist /title/<id>/top-100-...
3. Parse HTML con BeautifulSoup
4. Cache in-memory 15 min
Raises:
ValueError se slug non in GENRES
TraxsourceUnreachableError su rete/5xx dopo retry
TraxsourceParseError su HTML non conforme (title link non trovato, meno di 50 track, ecc.)
"""
```
**Internals:**
- `_session()` singleton — inizializza `curl_cffi.Session(impersonate='chrome131')` e fa GET a `/` una volta per riscaldare CF cookies. Riusata per tutte le fetch successive.
- `_discover_top100_url(session, slug) → str` — fetcha `/genre/<id>/<slug>`, regex per il link Top 100
- `_parse_tracks(html) → list[TraxsourceTrack]` — BeautifulSoup, itera `div.top-item.play-trk`, estrae campi
- `_split_title_mix(full_title) → (title, mix)` — parsa `"Foo (Extended Mix)"` → `("Foo", "Extended Mix")`. Se no parentesi, mix = "".
- `_format_artists(anchors) → str` — join `[a.text for a in anchors]` con formattazione "A, B & C"
- `_large_cover(url) → str` — sostituisce `/52x52/` con `/500x500/` nel path
**Retry + timeout:** riusa gli stessi pattern di `core/beatport.py`: 3 tentativi con backoff [1, 3]s, timeout 15s.
### Nuovi metodi in `api/bridge.py`
Paralleli ai metodi Beatport (stesso schema):
- `traxsource_genres() → list[dict]`
- `traxsource_fetch_chart(slug, force_refresh) → {ok, tracks} | {ok:false, error, message}` — salva anche `traxsource_last_genre` in config
- `traxsource_check_existing(tracks, genre_name) → list[bool]` — check in `<output_dir>/Traxsource_<genre>/`
- `traxsource_download_selected(tracks, genre_name) → dict` — costruisce metadata (title/artist/album=label/date=YYYY-MM/genre=display_name/cover_url) e chiama `start_tracks_download` riusando il pipeline con tagging ID3
**Metadata per il tagger:**
- title, artist: dai campi track
- album: label Traxsource (best proxy — non c'è "album" per singole tracce)
- date: mese/anno corrente (dato che la Top 100 è mensile)
- genre: display_name del genere
- cover_url: `cover_url_large` (500x500)
### Frontend
Nuova tab in sidebar dopo YouTube (o Beatport):
```html
<button class="nav-item" data-view="traxsource" data-feature="audio">
<span class="nav-icon">▲</span><span>Traxsource</span>
</button>
```
Section `#view-traxsource` con struttura identica a Beatport (dropdown genere + Carica Top 100 + tabella + toolbar + log). Riusa tutte le classi `.beatport-*` per lo stile.
Modulo `TraxsourceUI` in `webui/js/app.js` — copia diretta di `BeatportUI` con selettori cambiati (`traxsource-*` invece di `beatport-*`) e chiamate API alle nuove funzioni.
**Ordinamento colonne** (sortable) e **cover art** già supportati riusando la stessa struttura tabella + modulo helper `_sortPairs`/`_bindSortableHeaders`/`_updateSortArrows` esistenti.
### Persistenza
Nuovo campo in `core/config.py::DEFAULTS`:
```python
"traxsource_last_genre": "tech-house",
```
### Dipendenze
- `beautifulsoup4` — nuova dep runtime. Aggiungere in `requirements.txt`. Serve `--collect-data bs4` in build_windows.py + build_macos.py? Verificare — bs4 di solito no.
## Testing
**Unit tests `tests/test_traxsource.py` (senza rete, con fixture HTML):**
Serve una fixture HTML reale della pagina Top 100 (~400KB). Task 1 la genera con `curl_cffi` come fatto per Beatport (`beatport_melodic_top100.html`).
| Test | Verifica |
|---|---|
| `test_list_genres_shape` | Lista dict con {slug, id, name}, ordinati |
| `test_parse_top100_extracts_100_tracks` | Fixture HTML → 100 track |
| `test_parse_positions_sequential` | 1..100 senza buchi |
| `test_parse_track_shape` | Ogni track ha title, artists, label, cover URLs non vuoti |
| `test_split_title_mix_with_parens` | `"Foo (Extended Mix)"` → `("Foo", "Extended Mix")` |
| `test_split_title_mix_no_parens` | `"Foo"` → `("Foo", "")` |
| `test_format_artists_multi` | `["A", "B", "C"]` → `"A, B & C"` |
| `test_large_cover_url_substitution` | `.../52x52/x.jpg` → `.../500x500/x.jpg` |
| `test_discover_top100_url_returns_playlist_link` | HTML genre stub → estrae `/title/N/top-100-...` |
| `test_fetch_top100_invalid_slug_raises_value_error` | slug non in GENRES → ValueError early |
Mock HTTP con `unittest.mock.patch("core.traxsource._session")` (patch della session singleton).
**Test manuale end-to-end:**
1. Avvia app → tab Traxsource
2. Selezione "Tech House" → Carica Top 100 → tabella 100 righe in <5s
3. Verifica cover art (thumbnail nella tabella)
4. Deseleziona 90, tieni 10 → Scarica selezionati
5. File in `MUSICA/Traxsource_Tech House/` con tag ID3 completi (title, artist, album=label, genre=Tech House, cover 500x500)
6. Ricarica stesso genere → cache hit
7. Riavvio → ultimo genere ricordato
## Rollout
1. Branch `feat/traxsource-charts`
2. Bump `core/config.py::VERSION` → `v1.9.0` (minor: nuova tab visibile)
3. Note release `/tmp/notes-v1.9.0.md`
4. Merge → tag → CI → server DB update (stesso flusso di sempre)
## Struttura file impattati
**Nuovi:**
- `core/traxsource.py` (~250 LOC)
- `tests/test_traxsource.py` (~200 LOC)
- `tests/fixtures/traxsource_tech_house_top100.html` (~400KB)
- `scripts/refresh_traxsource_genres.py` (~50 LOC, opzionale)
**Modificati:**
- `requirements.txt` — `beautifulsoup4>=4.12.0`
- `build_windows.py` + `build_macos.py` — verificare se serve `--collect-data bs4`
- `core/config.py` — VERSION bump + `traxsource_last_genre`
- `api/bridge.py` — 4 metodi Api `traxsource_*` (~150 LOC)
- `webui/index.html` — nav-item + section (~90 LOC)
- `webui/js/app.js` — modulo `TraxsourceUI` (~250 LOC, copia BeatportUI adattata)
## Considerazioni operative
- **Fragility scraping:** i class name di Traxsource (`com-title`, `com-artists`, `top-item`, ecc.) sono usati anche nel JS del sito → stabili nel tempo. Rischio: se Traxsource migra a un framework nuovo (React/Next), parser va rifatto.
- **Rate limiting:** un solo GET per la genre + un GET per la playlist Top 100 = 2 richieste per caricare la chart. Cache 15 min. Zero rischio ban in uso normale.
- **Legal:** stesso perimetro di Beatport — lettura di pagine pubbliche, no ToS violation esplicito.
- **Comparabilità con Beatport:** un utente power potrebbe usare entrambe le tab per triangolare le release del mese. UX consistente = curva apprendimento zero.
+22 -138
View File
@@ -4,10 +4,10 @@
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<title>MusicTools — Scarica, modifica e registra la tua musica</title>
<meta name="description" content="App desktop per Mac e Windows. Scarica brani da Spotify e YouTube in MP3 320K, registra l'audio del sistema, modifica i tag. Piani da 2,99 €/mese." />
<meta name="description" content="App desktop per Mac e Windows. Scarica brani da Spotify e YouTube in MP3 320K, registra l'audio del sistema, modifica i tag." />
<meta property="og:title" content="MusicTools — La toolbox della tua musica" />
<meta property="og:description" content="Scarica, modifica e registra. Tutto in un'app per Mac e Windows. Piani da 2,99 €/mese o 49,90 €/anno una tantum." />
<meta property="og:description" content="Scarica, modifica e registra. Tutto in un'app per Mac e Windows." />
<meta property="og:type" content="website" />
<meta property="og:url" content="https://musictools.djluza.com" />
@@ -28,11 +28,10 @@
<nav class="nav-links">
<a href="#features">Funzioni</a>
<a href="#how">Come funziona</a>
<a href="#pricing">Piani</a>
<a href="#faq">FAQ</a>
<a href="/download">Download</a>
</nav>
<a href="#pricing" class="btn btn-primary btn-sm">Vedi i piani</a>
<a href="mailto:info@djluza.com" class="btn btn-ghost btn-sm">Contatti</a>
</div>
</header>
@@ -40,7 +39,7 @@
<section class="hero" id="top">
<div class="container hero-grid">
<div class="hero-text">
<span class="eyebrow">Per Mac e Windows · Da 2,99 €/mese</span>
<span class="eyebrow">Per Mac e Windows</span>
<h1>La tua musica, ovunque la trovi.<br/><span class="accent">In un'unica app.</span></h1>
<p class="lead">
Scarica brani da Spotify, YouTube, SoundCloud e altri 1000 siti in MP3 320K.
@@ -48,13 +47,13 @@
Modifica i metadati e le copertine. Tutto offline, senza account.
</p>
<div class="hero-cta">
<a href="#pricing" class="btn btn-primary btn-lg">Vedi i piani</a>
<a href="#features" class="btn btn-ghost btn-lg">Scopri di più</a>
<a href="#features" class="btn btn-primary btn-lg">Scopri le funzioni</a>
<a href="/download" class="btn btn-ghost btn-lg">Ho già una licenza</a>
</div>
<ul class="hero-bullets">
<li>✓ Mensili da 2,99 € o annuale 49,90 € una tantum</li>
<li>✓ Funziona offline · Su 3 dispositivi (Mac + Windows)</li>
<li>✓ Aggiornamenti gratuiti inclusi</li>
<li>✓ Funziona offline · Su 3 dispositivi</li>
<li>✓ Scarica brani, video, registra l'audio di sistema, modifica i tag</li>
</ul>
<p class="hero-customer">
@@ -157,8 +156,8 @@
<div class="how-grid">
<div class="how-step">
<div class="how-num">1</div>
<h3>Compra la licenza</h3>
<p>Checkout sicuro tramite Lemon Squeezy. Ricevi la chiave via email entro pochi secondi.</p>
<h3>Ottieni la licenza</h3>
<p>Ricevi la chiave via email. L'app non è ancora in vendita: scrivici per essere informato.</p>
</div>
<div class="how-step">
<div class="how-num">2</div>
@@ -177,113 +176,18 @@
<!-- ============== PRICING ============== -->
<section class="section pricing" id="pricing">
<div class="container">
<span class="eyebrow center">PIANI</span>
<h2 class="section-title">Scegli il piano giusto per te</h2>
<p class="section-lead">Tre abbonamenti mensili o l'opzione una-tantum annuale senza limiti. Tutti i piani includono aggiornamenti gratuiti.</p>
<div class="price-grid">
<!-- BASIC -->
<div class="price-card price-card-sm">
<div class="price-name">Basic</div>
<div class="price-row">
<span class="price-amount">2,99</span>
<span class="price-currency">€</span>
<span class="price-once">/mese</span>
</div>
<ul class="price-features">
<li>✓ <strong>Download brani</strong> da Spotify e YouTube</li>
<li>✓ <strong>Fino a 10 al giorno</strong></li>
<li>✓ MP3 fino a 320kbps</li>
<li>✓ 3 dispositivi (Mac + Win)</li>
<li>✗ Download video</li>
<li>✗ Registrazione, metadati, upgrade libreria</li>
</ul>
<a href="https://luza.lemonsqueezy.com/checkout/buy/8aca9e44-4775-424b-8ce3-583714044ac9?embed=1"
class="btn btn-ghost btn-lg btn-block lemonsqueezy-button">
Inizia con Basic
</a>
</div>
<!-- PRO -->
<div class="price-card price-card-sm">
<div class="price-badge">Più scelto</div>
<div class="price-name">Pro</div>
<div class="price-row">
<span class="price-amount">5,99</span>
<span class="price-currency">€</span>
<span class="price-once">/mese</span>
</div>
<ul class="price-features">
<li>✓ <strong>Tutto di Basic</strong></li>
<li>✓ <strong>Download video</strong> (YT, TikTok, IG, FB)</li>
<li>✓ <strong>Fino a 30 al giorno</strong></li>
<li>✓ Registrazione audio (BlackHole / loopback)</li>
<li>✓ Editor metadati + copertine</li>
<li>✓ Upgrade qualità libreria</li>
</ul>
<a href="https://luza.lemonsqueezy.com/checkout/buy/89cb5ab5-9d39-4828-8c44-b67a651aeb46?embed=1"
class="btn btn-primary btn-lg btn-block lemonsqueezy-button">
Scegli Pro
</a>
</div>
<!-- PREMIUM -->
<div class="price-card price-card-sm">
<div class="price-name">Premium</div>
<div class="price-row">
<span class="price-amount">9,99</span>
<span class="price-currency">€</span>
<span class="price-once">/mese</span>
</div>
<ul class="price-features">
<li>✓ <strong>Tutto di Pro</strong></li>
<li>✓ <strong>Fino a 150 al giorno</strong></li>
<li>✓ Priorità nel supporto via email</li>
<li>✓ 3 dispositivi (Mac + Win)</li>
</ul>
<a href="https://luza.lemonsqueezy.com/checkout/buy/5e027bbf-30ba-4ef3-bb23-5e7ea4aa7e7e?embed=1"
class="btn btn-ghost btn-lg btn-block lemonsqueezy-button">
Passa a Premium
</a>
</div>
<!-- ANNUAL ONE-TIME -->
<div class="price-card price-card-sm price-card-featured">
<div class="price-badge price-badge-gold">Miglior valore</div>
<div class="price-name">Annual</div>
<div class="price-row">
<span class="price-amount">49,90</span>
<span class="price-currency">€</span>
<span class="price-once">/anno</span>
</div>
<ul class="price-features">
<li>✓ <strong>Tutte le funzioni sbloccate</strong></li>
<li>✓ <strong>Nessun limite giornaliero</strong></li>
<li>✓ Valido <strong>12 mesi</strong> dall'acquisto</li>
<li>✓ Una tantum, niente rinnovo automatico</li>
<li>✓ 3 dispositivi (Mac + Win)</li>
</ul>
<a href="https://luza.lemonsqueezy.com/checkout/buy/85e91098-a93c-4008-a155-954b3456a299?embed=1"
class="btn btn-primary btn-lg btn-block lemonsqueezy-button"
id="buyBtn">
Acquista — 49,90 €
</a>
</div>
</div>
<span class="eyebrow center">DISPONIBILITÀ</span>
<h2 class="section-title">In arrivo</h2>
<p class="section-lead">Stiamo definendo i piani commerciali. L'app non è ancora in vendita.</p>
<div class="price-shared">
<p class="price-note">Pagamento sicuro · Carta, PayPal, Apple Pay · Fattura inclusa · IVA gestita da Lemon Squeezy</p>
<p class="price-consent">
Procedendo con l'acquisto dichiari di aver letto e di accettare i
<a href="/legal/terms.html">Termini di servizio</a>,
l'<a href="/legal/privacy.html">Informativa privacy</a> e la
<a href="/legal/refund.html">Politica rimborsi</a>.
</p>
<p class="price-already">
Hai già una licenza? <a href="/download">Scarica l'app →</a>
</p>
<p class="price-note">
Per restare aggiornato sulla disponibilità scrivici a
<a href="mailto:info@djluza.com">info@djluza.com</a>.
</p>
</div>
<div class="spotify-note">
@@ -356,27 +260,12 @@
<details class="faq-item">
<summary>Su quanti dispositivi posso installarla?</summary>
<p>Tutti i piani coprono fino a <strong>3 dispositivi</strong>, anche misti (Mac + Windows). Se ne cambi uno, puoi disattivare dall'app stessa o scriverci e ne liberiamo uno.</p>
</details>
<details class="faq-item">
<summary>Come funziona il limite giornaliero?</summary>
<p>Sui piani mensili (Basic, Pro, Premium) c'è un limite di download al giorno (10, 30 o 150 a seconda del piano). Il contatore si resetta a <strong>mezzanotte ora di Roma</strong>. Sull'annuale (49,90 €) non c'è nessun limite per 12 mesi.</p>
</details>
<details class="faq-item">
<summary>Posso passare a un piano superiore?</summary>
<p>Sì, in qualsiasi momento. Su Lemon Squeezy puoi cambiare piano dalla tua dashboard; la licenza si aggiorna in automatico al successivo controllo dell'app.</p>
</details>
<details class="faq-item">
<summary>Cosa succede quando scade l'abbonamento annuale?</summary>
<p>Il piano Annual è una-tantum: vale 12 mesi dall'acquisto, non si rinnova automaticamente. Allo scadere ricomprilo (o scegli un mensile) e tutto torna a funzionare.</p>
<p>La licenza copre fino a <strong>3 dispositivi</strong>, anche misti (Mac + Windows). Se ne cambi uno, puoi disattivare dall'app stessa o scriverci e ne liberiamo uno.</p>
</details>
<details class="faq-item">
<summary>Come funzionano gli aggiornamenti?</summary>
<p>Sono <strong>inclusi in tutti i piani</strong>. L'app controlla in automatico le nuove versioni dal menu Impostazioni → Aggiornamenti. Un click per scaricare e installare.</p>
<p>Sono <strong>inclusi</strong>. L'app controlla in automatico le nuove versioni dal menu Impostazioni → Aggiornamenti. Un click per scaricare e installare.</p>
</details>
<details class="faq-item">
@@ -441,10 +330,6 @@
<p>Scrivi a <a href="mailto:info@djluza.com">info@djluza.com</a> con prova della titolarità, identificazione del materiale e dichiarazione di buona fede. La procedura completa è descritta al <a href="/legal/terms.html#s8">§8 dei Termini</a>.</p>
</details>
<details class="faq-item">
<summary>Quali metodi di pagamento sono accettati?</summary>
<p>Tramite Lemon Squeezy: carta di credito/debito, PayPal, Apple Pay, Google Pay. Riceverai una fattura per il pagamento.</p>
</details>
</div>
</div>
</section>
@@ -452,9 +337,9 @@
<!-- ============== FINAL CTA ============== -->
<section class="section cta-final">
<div class="container cta-box">
<h2>Pronto a semplificarti la vita?</h2>
<p>Una sola app per tutto quello che fai con la musica. Inizia con Basic a 2,99 € al mese.</p>
<a href="#pricing" class="btn btn-primary btn-lg">Vedi i piani</a>
<h2>Resta in contatto</h2>
<p>Scrivici per qualsiasi domanda o per essere informato sulla disponibilità.</p>
<a href="mailto:info@djluza.com" class="btn btn-primary btn-lg">Scrivici a info@djluza.com</a>
</div>
</section>
@@ -479,7 +364,6 @@
</div>
</footer>
<script src="https://assets.lemonsqueezy.com/lemon.js" defer></script>
<script src="js/main.js" defer></script>
</body>
</html>
+26
View File
@@ -4,6 +4,32 @@ import os
import sys
from pathlib import Path
# ============================================================
# Logging persistente su file (rotazione giornaliera, 7 giorni).
# Chiamato SUBITO cosi' ogni traceback o print da qui in poi
# finisce nel file, anche in modalita' windowed.
# ============================================================
try:
from core.applog import setup as _setup_log
_setup_log()
except Exception as _e:
print(f"[bootstrap] log setup failed: {_e}")
# ============================================================
# Fix SSL CA bundle: quando l'app e' frozen (PyInstaller) i moduli
# ssl e requests non trovano nessun CA bundle di default -> tutte
# le chiamate HTTPS falliscono con CERTIFICATE_VERIFY_FAILED.
# Puntiamo esplicitamente al bundle di certifi (che il build script
# include via `--collect-data certifi`).
# ============================================================
try:
import certifi as _certifi
_ca_bundle = _certifi.where()
os.environ.setdefault("SSL_CERT_FILE", _ca_bundle)
os.environ.setdefault("REQUESTS_CA_BUNDLE", _ca_bundle)
except Exception as _e:
print(f"[bootstrap] certifi setup failed: {_e}")
# Windows: forza il caricamento del runtime pythonnet PRIMA di importare
# webview. Con PyInstaller il lazy-loader fallisce con
# "Failed to resolve Python.Runtime.Loader.Initialize" perche'
+10
View File
@@ -1,9 +1,19 @@
pywebview>=5.0
requests>=2.31.0
certifi>=2024.0.0
yt-dlp>=2024.0.0
mutagen>=1.47.0
pyobjc-core>=10.0 ; sys_platform == "darwin"
pyobjc-framework-Cocoa>=10.0 ; sys_platform == "darwin"
pyobjc-framework-WebKit>=10.0 ; sys_platform == "darwin"
pyobjc-framework-AVFoundation>=10.0 ; sys_platform == "darwin"
pythonnet==3.0.5 ; sys_platform == "win32"
clr-loader==0.2.7.post0 ; sys_platform == "win32"
curl_cffi>=0.9.0
beautifulsoup4>=4.12.0
send2trash>=1.8.0
# --- dev only ---
pytest>=8.0.0
responses>=0.25.0
freezegun>=1.4.0
+88
View File
@@ -0,0 +1,88 @@
"""Estrae lo slug + numeric id di tutti i generi Beatport.
Uso: python3 scripts/refresh_beatport_genres.py > /tmp/genres.txt
Poi copia manualmente in core/beatport.py::GENRES.
Nota: la pagina /genres (task originale) restituisce 404 sull'attuale sito
Beatport. Aggreghiamo quindi la lista dei generi dalla pagina /charts, dove
ogni featured chart include un array `genres` completo di slug + id + name.
"""
from __future__ import annotations
import re
import json
import sys
from curl_cffi import requests
GENRES_URL = "https://www.beatport.com/genres"
CHARTS_URL = "https://www.beatport.com/charts"
def _fetch_next_data(url: str) -> dict:
resp = requests.get(url, impersonate="chrome131", timeout=15)
resp.raise_for_status()
m = re.search(
r'<script id="__NEXT_DATA__"[^>]*>(.+?)</script>', resp.text, re.DOTALL
)
if not m:
raise RuntimeError(f"__NEXT_DATA__ non trovato su {url}")
return json.loads(m.group(1))
def _collect_genres(node, out: dict) -> None:
"""Raccoglie ricorsivamente ogni dict con chiavi slug/id/name che appare
dentro un array chiamato "genres"."""
if isinstance(node, dict):
for k, v in node.items():
if (
k == "genres"
and isinstance(v, list)
and v
and all(
isinstance(x, dict) and "slug" in x and "id" in x and "name" in x
for x in v
)
):
for g in v:
out[g["id"]] = (g["slug"], g["name"])
else:
_collect_genres(v, out)
elif isinstance(node, list):
for item in node:
_collect_genres(item, out)
def main() -> int:
# Prova /genres (URL originale). Se 404 o schema inatteso, cade su /charts.
try:
data = _fetch_next_data(GENRES_URL)
queries = data["props"]["pageProps"]["dehydratedState"]["queries"]
for q in queries:
d = q.get("state", {}).get("data", {})
if (
isinstance(d, dict)
and "results" in d
and isinstance(d["results"], list)
):
for g in d["results"]:
if "slug" in g and "id" in g and "name" in g:
print(f' "{g["slug"]}": ({g["id"]}, "{g["name"]}"),')
return 0
except Exception as e:
print(f"# /genres non disponibile ({e}), fallback su /charts", file=sys.stderr)
data = _fetch_next_data(CHARTS_URL)
genres: dict = {}
_collect_genres(data, genres)
if not genres:
print("nessun genere trovato su /charts", file=sys.stderr)
return 1
for gid in sorted(genres):
slug, name = genres[gid]
print(f' "{slug}": ({gid}, "{name}"),')
return 0
if __name__ == "__main__":
sys.exit(main())
+34
View File
@@ -0,0 +1,34 @@
"""Estrae la lista dei generi Traxsource dalla pagina /top.
Uso: python3 scripts/refresh_traxsource_genres.py > /tmp/tx_genres.txt
Poi copia manualmente in core/traxsource.py::GENRES."""
from __future__ import annotations
import re
import sys
from curl_cffi import requests
def main() -> int:
s = requests.Session(impersonate="chrome131")
s.get("https://www.traxsource.com/", timeout=15)
r = s.get("https://www.traxsource.com/top", timeout=15,
headers={"Referer": "https://www.traxsource.com/"})
if r.status_code != 200:
print(f"HTTP {r.status_code}", file=sys.stderr)
return 1
# href="/genre/<id>/<slug>"
hits = re.findall(r'href="/genre/(\d+)/([a-z0-9-]+)"', r.text)
seen = set()
for gid, slug in hits:
if slug in seen:
continue
seen.add(slug)
# Display name = slug con capitalizzazione euristica (l'utente lo raffina a mano)
name = " ".join(w.capitalize() for w in slug.replace("-", " ").split())
print(f' "{slug}": ({gid}, "{name}"),')
return 0
if __name__ == "__main__":
sys.exit(main())
+75
View File
@@ -0,0 +1,75 @@
#!/usr/bin/env node
// Genera una licenza nel DB delle licenze MusicTools.
//
// Da eseguire SUL SERVER (musictools@musictools.djluza.com) dentro ~/api/:
// node scripts/gen-license.mjs <email> [plan]
//
// plan: annual (default, "full" — no limite, no scadenza)
// basic | pro | premium (con daily_limit e period_end mensile)
//
// Da locale, usare lo script wrapper: server/scripts/gen-license.sh
import { generateLicenseKey } from "../src/license.js";
import { getPlan } from "../src/plans.js";
import mysql from "mysql2/promise";
import fs from "node:fs";
import path from "node:path";
import { fileURLToPath } from "node:url";
const __dirname = path.dirname(fileURLToPath(import.meta.url));
const envPath = path.resolve(__dirname, "..", ".env");
fs.readFileSync(envPath, "utf-8").split("\n").forEach((l) => {
const m = l.match(/^([A-Z_]+)=(.*)$/);
if (m) process.env[m[1]] = m[2];
});
const [, , emailArg, planArg] = process.argv;
if (!emailArg) {
console.error("Uso: node scripts/gen-license.mjs <email> [plan]");
console.error("plan: annual (default) | basic | pro | premium");
process.exit(1);
}
const email = emailArg.trim().toLowerCase();
const planCode = (planArg || "annual").trim().toLowerCase();
const plan = getPlan(planCode);
if (!plan) {
console.error(`Piano sconosciuto: ${planCode}`);
console.error("Validi: annual, basic, pro, premium");
process.exit(1);
}
const pool = mysql.createPool({
host: "127.0.0.1",
user: process.env.DB_USER,
password: process.env.DB_PASS,
database: process.env.DB_NAME,
});
const key = generateLicenseKey();
const now = Math.floor(Date.now() / 1000);
const isAnnual = planCode === "annual";
const dailyLimit = plan.dailyLimit ?? null;
const expiresAt = isAnnual ? null : null;
const periodEnd = isAnnual ? null : now + 30 * 24 * 3600;
await pool.execute(
`INSERT INTO licenses
(license_key, email, status, plan, daily_limit, source,
subscription_id, current_period_end,
expires_at, created_at, updated_at)
VALUES (?, ?, 'active', ?, ?, 'manual', NULL, ?, ?, ?, ?)`,
[key, email, planCode, dailyLimit, periodEnd, expiresAt, now, now],
);
console.log(JSON.stringify({
key,
email,
plan: planCode,
daily_limit: dailyLimit,
expires_at: expiresAt,
current_period_end: periodEnd,
}, null, 2));
await pool.end();
+33
View File
@@ -0,0 +1,33 @@
#!/usr/bin/env bash
# Genera una licenza MusicTools da locale, eseguendo lo script sul server.
#
# Uso:
# ./server/scripts/gen-license.sh <email> [plan]
#
# plan: annual (default, "full" — no limite, no scadenza)
# basic | pro | premium (con daily_limit e period_end mensile)
#
# Richiede:
# - ssh con chiave configurata verso musictools@musictools.djluza.com
# - lo script server-side viene sincronizzato in automatico prima dell'esecuzione
set -euo pipefail
EMAIL="${1:-}"
PLAN="${2:-annual}"
if [ -z "$EMAIL" ]; then
echo "Uso: $0 <email> [plan]" >&2
echo "plan: annual (default) | basic | pro | premium" >&2
exit 1
fi
SSH_TARGET="musictools@musictools.djluza.com"
SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
ssh "$SSH_TARGET" 'mkdir -p ~/api/scripts'
rsync -a --quiet \
"$SCRIPT_DIR/gen-license.mjs" \
"${SSH_TARGET}:api/scripts/gen-license.mjs"
ssh "$SSH_TARGET" "cd ~/api && node scripts/gen-license.mjs '$EMAIL' '$PLAN'"
View File
Whitespace-only changes.
+12
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@@ -0,0 +1,12 @@
"""Fixtures pytest condivise."""
from pathlib import Path
import pytest
FIXTURES_DIR = Path(__file__).parent / "fixtures"
@pytest.fixture
def fixtures_dir() -> Path:
return FIXTURES_DIR
+357
View File
@@ -0,0 +1,357 @@
<!DOCTYPE html><html lang="en"><head><meta charSet="utf-8" data-next-head=""/><meta name="viewport" content="width=device-width" data-next-head=""/><link rel="canonical" hrefLang="en" href="https://www.beatport.com/genre/melodic-house-techno/90/top-100" data-next-head=""/><link rel="alternate" hrefLang="de" href="https://www.beatport.com/de/genre/melodic-house-techno/90/top-100" data-next-head=""/><link rel="alternate" hrefLang="fr" href="https://www.beatport.com/fr/genre/melodic-house-techno/90/top-100" data-next-head=""/><link rel="alternate" hrefLang="es" href="https://www.beatport.com/es/genre/melodic-house-techno/90/top-100" data-next-head=""/><link rel="alternate" hrefLang="it" href="https://www.beatport.com/it/genre/melodic-house-techno/90/top-100" data-next-head=""/><link rel="alternate" hrefLang="ja" href="https://www.beatport.com/ja/genre/melodic-house-techno/90/top-100" data-next-head=""/><link rel="alternate" hrefLang="pt" href="https://www.beatport.com/pt/genre/melodic-house-techno/90/top-100" data-next-head=""/><link rel="alternate" hrefLang="nl" href="https://www.beatport.com/nl/genre/melodic-house-techno/90/top-100" data-next-head=""/><title data-next-head="">Melodic House &amp; Techno - TOP 100 | Download &amp; Stream Melodic House &amp; Techno on Beatport</title><meta property="og:title" content="Melodic House &amp; Techno - TOP 100 | Download &amp; Stream Melodic House &amp; Techno on Beatport" data-next-head=""/><meta property="og:description" content="Download the best Melodic House &amp; Techno music and stream the top 100 Melodic House &amp; Techno music tracks on Beatport. Explore the Top 100 Melodic House &amp; Techno artists and DJ now. " data-next-head=""/><meta property="og:image" content="https://www.beatport.com/images/beatport-social-image.png" data-next-head=""/><meta name="twitter:card" content="summary_large_image" data-next-head=""/><meta name="twitter:title" content="Melodic House &amp; Techno - TOP 100 | Download &amp; Stream Melodic House &amp; Techno on Beatport" data-next-head=""/><meta name="twitter:description" content="Download the best Melodic House &amp; Techno music and stream the top 100 Melodic House &amp; Techno music tracks on Beatport. Explore the Top 100 Melodic House &amp; Techno artists and DJ now. " data-next-head=""/><meta name="twitter:image" content="https://www.beatport.com/images/beatport-social-image.png" data-next-head=""/><meta name="description" content="Download the best Melodic House &amp; Techno music and stream the top 100 Melodic House &amp; Techno music tracks on Beatport. Explore the Top 100 Melodic House &amp; Techno artists and DJ now. " data-next-head=""/><link rel="icon" type="image/x-icon" href="/images/favicon-48x48.png" data-next-head=""/><link href="https://js.recurly.com/v4/recurly.css" rel="stylesheet" type="text/css" data-next-head=""/><meta name="bp-env" content="production"/><script>window.__SENTRY_RELEASE__="BP-v1.162.0"</script><link rel="preload" href="/icons/sprite.svg" as="image"/><link rel="preload" href="/_next/static/media/9617edd9e02a645a-s.p.ttf" as="font" type="font/ttf" crossorigin="anonymous" data-next-font="size-adjust"/><link rel="preload" href="/_next/static/media/9438673d1e72232d-s.p.ttf" as="font" type="font/ttf" crossorigin="anonymous" data-next-font="size-adjust"/><link rel="preload" href="/_next/static/media/db5c0e5da3a6b3a9-s.p.ttf" as="font" type="font/ttf" crossorigin="anonymous" data-next-font="size-adjust"/><script id="google-analytics" data-nscript="beforeInteractive">
(function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':
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j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src=
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})(window,document,'script','dataLayer','GTM-TXN4GRJ');
</script><link rel="preload" href="/_next/static/css/dbc5caec36a91cd9.css" as="style"/><link rel="stylesheet" href="/_next/static/css/dbc5caec36a91cd9.css" data-n-g=""/><noscript data-n-css=""></noscript><script defer="" nomodule="" src="/_next/static/chunks/polyfills-42372ed130431b0a.js"></script><script id="ab-tasty" src="https://try.abtasty.com/6a6f6df6afac8eb063d6dbbd68afdcc7.js" defer="" data-nscript="beforeInteractive"></script><script src="https://songbird.cardinalcommerce.com/edge/v1/songbird.js" defer="" data-nscript="beforeInteractive"></script><script id="pap_x2s6df8d" src="https://pluginboutique.postaffiliatepro.com/scripts/trackjs.js" defer="" data-nscript="beforeInteractive"></script><script src="/_next/static/chunks/webpack-6f1bbaae2c104d2c.js" defer=""></script><script src="/_next/static/chunks/framework-0353c99733a74dff.js" defer=""></script><script src="/_next/static/chunks/main-6be71f34df367310.js" defer=""></script><script src="/_next/static/chunks/pages/_app-481baf8cf9b61739.js" defer=""></script><script src="/_next/static/chunks/1672-274ad8535921289a.js" defer=""></script><script src="/_next/static/chunks/pages/genre/%5Bdescription%5D/%5Bid%5D/top-100-991e44049fcd48b3.js" defer=""></script><script src="/_next/static/z5IFYCzpmVKqxZJshoItQ/_buildManifest.js" defer=""></script><script src="/_next/static/z5IFYCzpmVKqxZJshoItQ/_ssgManifest.js" defer=""></script><style data-styled="" data-styled-version="6.4.3">.dXSwbq{box-sizing:border-box;display:flex;flex-direction:row;justify-content:center;align-items:center;padding:0.313rem 1rem 0.438rem;gap:0.5rem;border-radius:0.25rem;cursor:pointer;font-family:'aeonikFont','aeonikFont Fallback';font-size:0.875rem;line-height:1.25rem;font-weight:500;color:#141414;}/*!sc*/
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"""Test per core.acoustid — lookup AcoustID + cache SQLite.
Mock su `requests.get` in modo che i test siano offline. Ogni test
isola la cache SQLite in tmp_path via monkeypatch di
`_cache_db_path`.
"""
from __future__ import annotations
from unittest import mock
import pytest
from core import acoustid
# ------------------------------------------------------------------
# Fixture: cache isolata + reset del rate-limit
# ------------------------------------------------------------------
@pytest.fixture
def patched_cache(tmp_path, monkeypatch):
db = tmp_path / "acoustid_cache_test.db"
monkeypatch.setattr(acoustid, "_cache_db_path", lambda: db)
# Rate-limit: azzera cosi' i test non aspettano throttle
monkeypatch.setattr(acoustid, "_RATE_LIMIT_SEC", 0.0)
monkeypatch.setattr(acoustid, "_last_request_at", [0.0])
return db
def _mock_resp(status_code: int = 200, json_data: dict = None):
"""Costruisce un mock di response `requests`."""
m = mock.Mock()
m.status_code = status_code
m.json.return_value = json_data or {}
return m
# ------------------------------------------------------------------
# lookup — cache
# ------------------------------------------------------------------
class TestLookupCache:
def test_lookup_uses_cache(self, patched_cache):
"""Seconda chiamata con lo stesso fingerprint riusa la cache."""
payload = {
"status": "ok",
"results": [{
"score": 0.99,
"recordings": [{
"title": "Some Song",
"artists": [{"name": "Artist X"}],
"releases": [
{"date": {"year": 2005},
"releasegroup": {"tags": [{"name": "House", "count": 5}]}},
],
}],
}],
}
with mock.patch.object(acoustid.requests, "get",
return_value=_mock_resp(200, payload)) as m:
r1 = acoustid.lookup("FP-1", 180.0)
r2 = acoustid.lookup("FP-1", 180.0)
assert m.call_count == 1, "la seconda chiamata deve venire dalla cache"
assert r1 == r2
assert r1["matched"] is True
assert r1["year"] == 2005
assert r1["genre"].lower() == "house"
assert r1["title"] == "Some Song"
assert r1["artist"] == "Artist X"
# ------------------------------------------------------------------
# lookup — no results / errori
# ------------------------------------------------------------------
class TestLookupNoResults:
def test_lookup_no_results_returns_unmatched(self, patched_cache):
payload = {"status": "ok", "results": []}
with mock.patch.object(acoustid.requests, "get",
return_value=_mock_resp(200, payload)):
r = acoustid.lookup("FP-NORESULT", 100.0)
assert r["matched"] is False
# deve essere cacheato
with mock.patch.object(acoustid.requests, "get") as m:
r2 = acoustid.lookup("FP-NORESULT", 100.0)
assert m.call_count == 0
assert r2 == r
def test_lookup_no_recordings_returns_unmatched(self, patched_cache):
"""results presenti ma senza recordings -> matched=False."""
payload = {
"status": "ok",
"results": [{"score": 0.5, "recordings": []}],
}
with mock.patch.object(acoustid.requests, "get",
return_value=_mock_resp(200, payload)):
r = acoustid.lookup("FP-EMPTYREC", 200)
assert r["matched"] is False
# ------------------------------------------------------------------
# lookup — anno minimo
# ------------------------------------------------------------------
class TestLookupYearExtraction:
def test_lookup_extracts_min_year(self, patched_cache):
"""3 releases (2003, 1998, 2010) -> year=1998."""
payload = {
"status": "ok",
"results": [{
"score": 0.95,
"recordings": [{
"title": "Classic",
"artists": [{"name": "Artist"}],
"releases": [
{"date": {"year": 2003}},
{"date": {"year": 1998}},
{"date": {"year": 2010}},
],
}],
}],
}
with mock.patch.object(acoustid.requests, "get",
return_value=_mock_resp(200, payload)):
r = acoustid.lookup("FP-YEAR", 180)
assert r["matched"] is True
assert r["year"] == 1998
def test_lookup_missing_year_becomes_none(self, patched_cache):
"""Nessuna release con year valido -> year=None (matched se ha titolo)."""
payload = {
"status": "ok",
"results": [{
"score": 0.9,
"recordings": [{
"title": "T",
"artists": [{"name": "A"}],
"releases": [{"date": {}}, {"other": 1}],
}],
}],
}
with mock.patch.object(acoustid.requests, "get",
return_value=_mock_resp(200, payload)):
r = acoustid.lookup("FP-NOY", 100)
# matched puo' essere True se ha almeno un titolo
assert r["year"] is None
assert r["title"] == "T"
# ------------------------------------------------------------------
# lookup — errori HTTP / rete
# ------------------------------------------------------------------
class TestLookupErrors:
def test_lookup_returns_error_on_http_failure(self, patched_cache):
with mock.patch.object(acoustid.requests, "get",
return_value=_mock_resp(500, {})):
r = acoustid.lookup("FP-HTTP", 100)
assert r["matched"] is False
assert "HTTP 500" in r.get("error", "")
def test_lookup_returns_error_on_network_failure(self, patched_cache):
with mock.patch.object(acoustid.requests, "get",
side_effect=acoustid.requests.ConnectionError("boom")):
r = acoustid.lookup("FP-NET", 100)
assert r["matched"] is False
assert "network" in r.get("error", "").lower() or "boom" in r.get("error", "")
def test_lookup_empty_fingerprint_returns_unmatched(self, patched_cache):
r = acoustid.lookup("", 100)
assert r["matched"] is False
assert "fingerprint" in r.get("error", "").lower()
def test_lookup_api_status_error(self, patched_cache):
payload = {"status": "error",
"error": {"message": "invalid fingerprint"}}
with mock.patch.object(acoustid.requests, "get",
return_value=_mock_resp(200, payload)):
r = acoustid.lookup("FP-BAD", 100)
assert r["matched"] is False
assert "invalid" in r.get("error", "").lower()
# ------------------------------------------------------------------
# helper: _extract_top_genre
# ------------------------------------------------------------------
class TestGenreExtraction:
def test_top_genre_picks_highest_count(self):
releases = [{
"releasegroup": {
"tags": [
{"name": "electronic", "count": 3},
{"name": "house", "count": 12},
{"name": "dance", "count": 7},
]
}
}]
assert acoustid._extract_top_genre(releases).lower() == "house"
def test_top_genre_no_tags_returns_empty(self):
releases = [{"releasegroup": {"tags": []}}]
assert acoustid._extract_top_genre(releases) == ""
def test_top_genre_no_releasegroup_returns_empty(self):
assert acoustid._extract_top_genre([{}]) == ""
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"""Test per core.beatport."""
from __future__ import annotations
import pytest
from core import beatport
class TestListGenres:
def test_returns_list_of_dicts(self):
result = beatport.list_genres()
assert isinstance(result, list)
assert len(result) >= 10 # almeno 10 generi
for g in result:
assert set(g.keys()) == {"slug", "id", "name"}
assert isinstance(g["slug"], str) and g["slug"]
assert isinstance(g["id"], int) and g["id"] > 0
assert isinstance(g["name"], str) and g["name"]
def test_sorted_alphabetically_by_name(self):
result = beatport.list_genres()
names = [g["name"] for g in result]
assert names == sorted(names, key=str.casefold)
def test_melodic_house_techno_present(self):
result = beatport.list_genres()
slugs = [g["slug"] for g in result]
assert "melodic-house-techno" in slugs
class TestBeatportTrack:
def test_display_format(self):
t = beatport.BeatportTrack(
position=1,
title="Hot Sauce",
mix="Extended",
artists="Kapuchon, Miss Monique & GLZ",
duration_sec=336,
beatport_id=12345,
)
assert t.display == "Kapuchon, Miss Monique & GLZ – Hot Sauce (Extended) (5:36)"
def test_display_pads_seconds(self):
t = beatport.BeatportTrack(
position=1, title="X", mix="Y", artists="A",
duration_sec=65, beatport_id=1,
)
assert t.display.endswith("(1:05)")
def test_spotify_query(self):
t = beatport.BeatportTrack(
position=1,
title="Hot Sauce",
mix="Extended",
artists="Kapuchon, Miss Monique & GLZ",
duration_sec=336,
beatport_id=12345,
)
assert t.spotify_query == "Kapuchon, Miss Monique & GLZ Hot Sauce"
def test_is_frozen(self):
t = beatport.BeatportTrack(
position=1, title="X", mix="Y", artists="A",
duration_sec=1, beatport_id=1,
)
with pytest.raises(Exception):
t.title = "Z" # frozen=True impedisce mutazione
class TestExtractNextData:
def test_extracts_json_from_valid_html(self, fixtures_dir):
html = (fixtures_dir / "beatport_melodic_top100.html").read_text()
data = beatport._extract_next_data(html)
assert isinstance(data, dict)
assert "props" in data
def test_missing_script_raises(self):
with pytest.raises(beatport.BeatportParseError, match="__NEXT_DATA__ non trovato"):
beatport._extract_next_data("<html><body>nulla</body></html>")
def test_malformed_json_raises(self):
broken = '<script id="__NEXT_DATA__" type="application/json">{not: valid}</script>'
with pytest.raises(beatport.BeatportParseError, match="JSON malformato"):
beatport._extract_next_data(broken)
class TestParseTracks:
def test_extracts_100_tracks(self, fixtures_dir):
html = (fixtures_dir / "beatport_melodic_top100.html").read_text()
data = beatport._extract_next_data(html)
tracks = beatport._parse_tracks(data)
assert len(tracks) == 100
def test_positions_are_sequential_1_to_100(self, fixtures_dir):
html = (fixtures_dir / "beatport_melodic_top100.html").read_text()
tracks = beatport._parse_tracks(beatport._extract_next_data(html))
positions = [t.position for t in tracks]
assert positions == list(range(1, 101))
def test_track_shape(self, fixtures_dir):
html = (fixtures_dir / "beatport_melodic_top100.html").read_text()
tracks = beatport._parse_tracks(beatport._extract_next_data(html))
first = tracks[0]
assert isinstance(first, beatport.BeatportTrack)
assert first.title
assert first.artists
assert first.duration_sec > 0
assert first.beatport_id > 0
def test_schema_missing_results_raises(self):
with pytest.raises(beatport.BeatportParseError, match="results"):
beatport._parse_tracks({"props": {"pageProps": {}}})
from unittest.mock import patch, MagicMock
from freezegun import freeze_time
def _mock_response(text: str, status_code: int = 200) -> MagicMock:
resp = MagicMock()
resp.text = text
resp.status_code = status_code
def _raise():
if status_code >= 400:
raise Exception(f"HTTP {status_code}")
resp.raise_for_status = _raise
return resp
class TestFetchTop100:
@pytest.fixture
def fixture_html(self, fixtures_dir):
return (fixtures_dir / "beatport_melodic_top100.html").read_text()
def test_success_returns_100_tracks(self, fixture_html):
beatport._cache.clear()
with patch("core.beatport._cffi_requests.get") as mock_get:
mock_get.return_value = _mock_response(fixture_html, 200)
tracks = beatport.fetch_top100("melodic-house-techno")
assert len(tracks) == 100
def test_invalid_slug_raises_value_error(self):
with pytest.raises(ValueError, match="slug"):
beatport.fetch_top100("not-a-real-genre")
def test_5xx_retries_and_raises_unreachable(self):
beatport._cache.clear()
with patch("core.beatport._cffi_requests.get") as mock_get:
mock_get.return_value = _mock_response("", 503)
with patch("core.beatport.time.sleep"): # skip backoff
with pytest.raises(beatport.BeatportUnreachableError):
beatport.fetch_top100("melodic-house-techno")
assert mock_get.call_count == 3 # 1 + 2 retry
def test_cache_hit_within_ttl(self, fixture_html):
beatport._cache.clear()
with patch("core.beatport._cffi_requests.get") as mock_get:
mock_get.return_value = _mock_response(fixture_html, 200)
beatport.fetch_top100("melodic-house-techno")
beatport.fetch_top100("melodic-house-techno")
assert mock_get.call_count == 1
def test_cache_expires_after_ttl(self, fixture_html):
beatport._cache.clear()
with patch("core.beatport._cffi_requests.get") as mock_get:
mock_get.return_value = _mock_response(fixture_html, 200)
with freeze_time("2026-01-01 10:00:00") as frozen:
beatport.fetch_top100("melodic-house-techno")
frozen.tick(delta=beatport._CACHE_TTL_SEC + 1)
beatport.fetch_top100("melodic-house-techno")
assert mock_get.call_count == 2
def test_force_refresh_bypasses_cache(self, fixture_html):
beatport._cache.clear()
with patch("core.beatport._cffi_requests.get") as mock_get:
mock_get.return_value = _mock_response(fixture_html, 200)
beatport.fetch_top100("melodic-house-techno")
beatport.fetch_top100("melodic-house-techno", force_refresh=True)
assert mock_get.call_count == 2
def test_uses_chrome_impersonation(self, fixture_html):
beatport._cache.clear()
with patch("core.beatport._cffi_requests.get") as mock_get:
mock_get.return_value = _mock_response(fixture_html, 200)
beatport.fetch_top100("melodic-house-techno")
call_kwargs = mock_get.call_args.kwargs
assert "impersonate" in call_kwargs
assert call_kwargs["impersonate"].startswith("chrome")
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"""Test per core.catalog — sanitize + move_files + scan_folder.
Focus principale sui casi in cui il piano ha promesso comportamento
esplicito: sanitize dei chars vietati, struttura year/genre, gestione
di anno/genere mancanti, conflitto di filename.
"""
from __future__ import annotations
from pathlib import Path
from unittest import mock
import pytest
from core import catalog
# ------------------------------------------------------------------
# Sanitize
# ------------------------------------------------------------------
class TestSanitizeFolder:
def test_sanitize_folder_removes_forbidden_chars(self):
# `/` (dai tag musicbrainz), `:` (Windows), `?`, `*`, `|`, ecc.
s = catalog._sanitize_folder("electronic/house")
assert "/" not in s
assert "electronic" in s and "house" in s
s2 = catalog._sanitize_folder("prog:rock?")
for ch in '<>:"|?*\\/':
assert ch not in s2
def test_sanitize_folder_collapses_spaces(self):
assert catalog._sanitize_folder(" tech house ") == "tech house"
def test_sanitize_folder_empty_returns_empty(self):
assert catalog._sanitize_folder("") == ""
assert catalog._sanitize_folder(None) == ""
def test_sanitize_folder_truncates_long(self):
s = catalog._sanitize_folder("a" * 300)
assert len(s) <= 100
# ------------------------------------------------------------------
# move_files
# ------------------------------------------------------------------
def _touch(path: Path, size: int = 8) -> Path:
path.parent.mkdir(parents=True, exist_ok=True)
path.write_bytes(b"\x00" * size)
return path
class TestMoveFiles:
def test_move_files_creates_year_genre_structure(self, tmp_path):
"""Un file matched → finisce in <target>/<year>/<genre>/<filename>."""
src = _touch(tmp_path / "source" / "song.mp3")
target = tmp_path / "cat"
entries = [{
"path": str(src), "size": src.stat().st_size,
"matched": True, "year": 2005, "genre": "House",
"artist": "X", "title": "T", "fingerprint": "FP",
}]
res = catalog.move_files(entries, str(target))
assert res["moved"] == 1
assert res["failed"] == []
dst = target / "2005" / "House" / "song.mp3"
assert dst.exists()
assert not src.exists()
# Log operations popolato
assert res["operations"] and res["operations"][0]["src"] == str(src)
assert res["operations"][0]["dst"] == str(dst)
def test_move_files_handles_missing_year_or_genre(self, tmp_path):
"""Year/genre mancanti → Unknown Year / Unknown Genre."""
no_year = _touch(tmp_path / "src" / "no_year.mp3")
no_genre = _touch(tmp_path / "src" / "no_genre.mp3")
no_both = _touch(tmp_path / "src" / "no_both.mp3")
target = tmp_path / "cat"
entries = [
{"path": str(no_year), "matched": True, "year": None,
"genre": "House"},
{"path": str(no_genre), "matched": True, "year": 2010,
"genre": ""},
{"path": str(no_both), "matched": False, "year": None,
"genre": ""},
]
res = catalog.move_files(entries, str(target))
assert res["moved"] == 3
assert (target / "Unknown Year" / "House" / "no_year.mp3").exists()
assert (target / "2010" / "Unknown Genre" / "no_genre.mp3").exists()
assert (target / "Unknown Year" / "Unknown Genre"
/ "no_both.mp3").exists()
def test_move_files_dedup_conflicting_filenames(self, tmp_path):
"""Se un file con lo stesso nome esiste gia' nel target, aggiungi
suffisso _1, _2, ... (mai overwrite)."""
src1 = _touch(tmp_path / "srcA" / "song.mp3", size=10)
src2 = _touch(tmp_path / "srcB" / "song.mp3", size=20)
target = tmp_path / "cat"
entries = [
{"path": str(src1), "matched": True, "year": 2000,
"genre": "Rock"},
{"path": str(src2), "matched": True, "year": 2000,
"genre": "Rock"},
]
res = catalog.move_files(entries, str(target))
assert res["moved"] == 2
d1 = target / "2000" / "Rock" / "song.mp3"
d2 = target / "2000" / "Rock" / "song_1.mp3"
assert d1.exists() and d2.exists()
# Contenuto preservato dal move (src1 = 10 byte, src2 = 20 byte).
# L'ordine di iterazione garantisce che song.mp3 = src1.
assert d1.stat().st_size == 10
assert d2.stat().st_size == 20
def test_move_files_sanitizes_forbidden_genre(self, tmp_path):
"""Genere con `/` (tipico di musicbrainz) va sanitizzato in `_`."""
src = _touch(tmp_path / "src" / "song.mp3")
target = tmp_path / "cat"
entries = [{
"path": str(src), "matched": True, "year": 2020,
"genre": "electronic/house",
}]
res = catalog.move_files(entries, str(target))
assert res["moved"] == 1
# NON deve creare "electronic" e dentro "house": e' un solo nome.
assert not (target / "2020" / "electronic").is_dir()
# La cartella deve contenere entrambe le parti sanitizzate
year_dir = target / "2020"
subdirs = [p.name for p in year_dir.iterdir() if p.is_dir()]
assert len(subdirs) == 1
assert "/" not in subdirs[0]
assert "electronic" in subdirs[0] and "house" in subdirs[0]
def test_move_files_missing_source_reports_failed(self, tmp_path):
"""File che non esiste piu' → finisce in failed, non alza."""
target = tmp_path / "cat"
entries = [{
"path": str(tmp_path / "does_not_exist.mp3"),
"matched": True, "year": 2000, "genre": "X",
}]
res = catalog.move_files(entries, str(target))
assert res["moved"] == 0
assert len(res["failed"]) == 1
assert "non esiste" in res["failed"][0]["error"].lower()
def test_move_files_empty_list_returns_zero(self, tmp_path):
res = catalog.move_files([], str(tmp_path / "cat"))
assert res["moved"] == 0
assert res["failed"] == []
assert res["operations"] == []
# ------------------------------------------------------------------
# scan_folder — smoke integration test (mock fpcalc + lookup)
# ------------------------------------------------------------------
class TestScanFolder:
def test_scan_folder_empty_directory(self, tmp_path):
# Cartella senza file audio → lista vuota, no crash
with mock.patch.object(catalog, "find_fpcalc",
return_value="/fake/fpcalc"):
entries = catalog.scan_folder(str(tmp_path), recursive=False)
assert entries == []
def test_scan_folder_processes_files(self, tmp_path):
# Un file audio fake + mock di fpcalc + lookup
(tmp_path / "a.mp3").write_bytes(b"\x00" * 100)
(tmp_path / "readme.txt").write_text("hi")
with mock.patch.object(catalog, "find_fpcalc",
return_value="/fake/fpcalc"), \
mock.patch.object(catalog, "compute_fingerprint",
return_value={"fingerprint": "FP", "duration": 100}), \
mock.patch.object(catalog, "lookup",
return_value={
"matched": True, "year": 2018,
"genre": "House", "artist": "A",
"title": "T",
}):
entries = catalog.scan_folder(str(tmp_path), recursive=False)
assert len(entries) == 1
e = entries[0]
assert e["matched"] is True
assert e["year"] == 2018
assert e["genre"] == "House"
assert e["fingerprint"] == "FP"
def test_scan_folder_records_fpcalc_error(self, tmp_path):
"""fpcalc fallito → entry con matched=False + error."""
(tmp_path / "broken.mp3").write_bytes(b"\x00" * 10)
with mock.patch.object(catalog, "find_fpcalc",
return_value="/fake/fpcalc"), \
mock.patch.object(catalog, "compute_fingerprint",
return_value={"_error": "fingerprint vuoto"}):
entries = catalog.scan_folder(str(tmp_path), recursive=False)
assert len(entries) == 1
assert entries[0]["matched"] is False
assert "vuoto" in entries[0]["error"]
+434
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"""Test per core.charts — fetch iTunes/Last.fm/Spotify/M2O + cache SQLite.
Ogni test isola il DB cache in tmp_path via monkeypatch di `_cache_db_path`
e usa `responses`/`mock` per non toccare la rete.
"""
from __future__ import annotations
import time
from unittest import mock
import pytest
import responses
from freezegun import freeze_time
from core import charts
# ------------------------------------------------------------------
# Fixture: cache isolata per test
# ------------------------------------------------------------------
@pytest.fixture
def patched_cache(tmp_path, monkeypatch):
db = tmp_path / "charts_cache_test.db"
monkeypatch.setattr(charts, "_cache_db_path", lambda: db)
return db
# ==================================================================
# iTunes RSS
# ==================================================================
class TestFetchItunes:
_SAMPLE = {
"feed": {
"results": [
{
"name": "Song A",
"artistName": "Artist A",
"collectionName": "Album A",
"artworkUrl100": "https://cdn/a.jpg",
"url": "https://itunes/1",
},
{
"name": "Song B",
"artistName": "Artist B",
"collectionName": "Album B",
"artworkUrl100": "https://cdn/b.jpg",
"url": "https://itunes/2",
},
]
}
}
@responses.activate
def test_fetch_itunes_parses_response(self, patched_cache):
responses.add(
responses.GET,
charts._ITUNES_URL_TPL.format(country="it"),
json=self._SAMPLE,
status=200,
)
out = charts.fetch_itunes("it", force=True)
assert len(out) == 2
assert out[0] == {
"rank": 1,
"artist": "Artist A",
"title": "Song A",
"album": "Album A",
"image_url": "https://cdn/a.jpg",
"popularity": None,
}
assert out[1]["rank"] == 2
assert out[1]["artist"] == "Artist B"
@responses.activate
def test_fetch_itunes_uses_cache(self, patched_cache):
"""Seconda chiamata NON deve colpire la rete: il mock registra 1 call."""
responses.add(
responses.GET,
charts._ITUNES_URL_TPL.format(country="us"),
json=self._SAMPLE,
status=200,
)
first = charts.fetch_itunes("us", force=False)
second = charts.fetch_itunes("us", force=False)
assert first == second
# `responses` fallirebbe se ci fossero call non registrate;
# verifica esplicitamente che la seconda non ha creato una call in piu'
assert len(responses.calls) == 1
@responses.activate
def test_fetch_itunes_force_bypasses_cache(self, patched_cache):
responses.add(
responses.GET,
charts._ITUNES_URL_TPL.format(country="gb"),
json=self._SAMPLE,
status=200,
)
responses.add(
responses.GET,
charts._ITUNES_URL_TPL.format(country="gb"),
json=self._SAMPLE,
status=200,
)
charts.fetch_itunes("gb", force=False)
charts.fetch_itunes("gb", force=True)
assert len(responses.calls) == 2
@responses.activate
def test_fetch_itunes_returns_empty_on_error(self, patched_cache):
responses.add(
responses.GET,
charts._ITUNES_URL_TPL.format(country="ww"),
status=500,
)
assert charts.fetch_itunes("ww", force=True) == []
@responses.activate
def test_fetch_itunes_defaults_to_it(self, patched_cache):
responses.add(
responses.GET,
charts._ITUNES_URL_TPL.format(country="it"),
json={"feed": {"results": []}},
status=200,
)
assert charts.fetch_itunes("", force=True) == []
assert responses.calls[0].request.url.startswith(
"https://rss.applemarketingtools.com/api/v2/it/"
)
# ==================================================================
# Last.fm tag builder
# ==================================================================
class TestBuildLastfmTag:
def test_only_decade(self):
assert charts._build_lastfm_tag("80s", "") == "80s"
def test_only_genre(self):
assert charts._build_lastfm_tag("", "italo disco") == "italo disco"
def test_decade_and_genre(self):
assert charts._build_lastfm_tag("90s", "dance") == "90s dance"
def test_normalizes_case(self):
assert charts._build_lastfm_tag("90S", "DANCE") == "90s dance"
def test_fallback_empty(self):
assert charts._build_lastfm_tag("", "") == "pop"
assert charts._build_lastfm_tag(None, None) == "pop"
# ==================================================================
# Last.fm fetch
# ==================================================================
class TestFetchLastfm:
_SAMPLE = {
"tracks": {
"track": [
{
"name": "Blue (Da Ba Dee)",
"artist": {"name": "Eiffel 65"},
"listeners": "12345",
"image": [
{"#text": "small.jpg", "size": "small"},
{"#text": "large.jpg", "size": "large"},
],
},
{
"name": "Barbie Girl",
"artist": {"name": "Aqua"},
"listeners": "9999",
"image": [],
},
]
}
}
@responses.activate
def test_fetch_lastfm_parses_response(self, patched_cache):
responses.add(responses.GET, charts._LASTFM_URL, json=self._SAMPLE, status=200)
out = charts.fetch_lastfm("90s", "dance", force=True)
assert len(out) == 2
assert out[0]["artist"] == "Eiffel 65"
assert out[0]["title"] == "Blue (Da Ba Dee)"
# Ultima immagine della lista
assert out[0]["image_url"] == "large.jpg"
assert out[0]["popularity"] == "12345"
# Traccia senza immagini: image_url vuoto
assert out[1]["image_url"] == ""
@responses.activate
def test_fetch_lastfm_handles_empty_tracks(self, patched_cache):
responses.add(
responses.GET, charts._LASTFM_URL,
json={"tracks": {}}, status=200,
)
assert charts.fetch_lastfm("70s", "rock", force=True) == []
@responses.activate
def test_fetch_lastfm_returns_empty_on_error(self, patched_cache):
responses.add(responses.GET, charts._LASTFM_URL, status=500)
assert charts.fetch_lastfm("80s", "pop", force=True) == []
@responses.activate
def test_fetch_lastfm_uses_cache(self, patched_cache):
responses.add(responses.GET, charts._LASTFM_URL, json=self._SAMPLE, status=200)
charts.fetch_lastfm("2000s", "house", force=False)
charts.fetch_lastfm("2000s", "house", force=False)
assert len(responses.calls) == 1
@responses.activate
def test_fetch_lastfm_sends_configured_tag(self, patched_cache):
responses.add(responses.GET, charts._LASTFM_URL, json=self._SAMPLE, status=200)
charts.fetch_lastfm("90s", "dance", force=True)
assert "tag=90s+dance" in responses.calls[0].request.url
# ==================================================================
# Cache TTL
# ==================================================================
class TestCacheTtl:
@responses.activate
def test_cache_ttl_expires(self, patched_cache):
sample = {"feed": {"results": []}}
responses.add(
responses.GET,
charts._ITUNES_URL_TPL.format(country="it"),
json=sample, status=200,
)
responses.add(
responses.GET,
charts._ITUNES_URL_TPL.format(country="it"),
json=sample, status=200,
)
with freeze_time("2026-01-01 12:00:00"):
charts.fetch_itunes("it", force=False)
assert len(responses.calls) == 1
# +7h -> cache scaduta (TTL 6h)
with freeze_time("2026-01-01 19:00:00"):
charts.fetch_itunes("it", force=False)
assert len(responses.calls) == 2
# ==================================================================
# Spotify chart playlists
# ==================================================================
class TestSpotifyChartsRegistry:
def test_spotify_charts_dict_has_expected_keys(self):
expected = {
"top50_global", "top50_italy", "top50_usa", "top50_uk",
"viral50_global", "viral50_italy",
}
assert expected.issubset(charts._SPOTIFY_CHARTS.keys())
# Ognuno mappato a (playlist_id, label)
for k, v in charts._SPOTIFY_CHARTS.items():
assert isinstance(v, tuple) and len(v) == 2
assert v[0] and v[1]
class TestFetchSpotify:
_TRACKS = {
"items": [
{
"track": {
"name": "Track One",
"popularity": 88,
"artists": [{"name": "Artist X"}, {"name": "Artist Y"}],
"album": {
"name": "Album Z",
"images": [{"url": "https://spo/img.jpg"}],
},
}
},
{
"track": {
"name": "Track Two",
"popularity": 72,
"artists": [{"name": "Solo"}],
"album": {"name": "Alb2", "images": []},
}
},
]
}
@responses.activate
def test_fetch_spotify_parses_response(self, patched_cache, monkeypatch):
monkeypatch.setattr(
charts, "_spotify_credentials", lambda: ("cid", "csecret"),
)
monkeypatch.setattr(
"core.spotify_client.get_access_token",
lambda cid, csecret: "tok",
)
pid, _ = charts._SPOTIFY_CHARTS["top50_global"]
responses.add(
responses.GET,
f"https://api.spotify.com/v1/playlists/{pid}/tracks",
json=self._TRACKS,
status=200,
)
out = charts.fetch_spotify("top50_global", force=True)
assert len(out) == 2
assert out[0]["rank"] == 1
assert out[0]["artist"] == "Artist X, Artist Y"
assert out[0]["title"] == "Track One"
assert out[0]["album"] == "Album Z"
assert out[0]["image_url"] == "https://spo/img.jpg"
assert out[0]["popularity"] == 88
assert out[1]["image_url"] == ""
@responses.activate
def test_fetch_spotify_uses_cache(self, patched_cache, monkeypatch):
monkeypatch.setattr(
charts, "_spotify_credentials", lambda: ("cid", "csecret"),
)
monkeypatch.setattr(
"core.spotify_client.get_access_token",
lambda cid, csecret: "tok",
)
pid, _ = charts._SPOTIFY_CHARTS["top50_italy"]
responses.add(
responses.GET,
f"https://api.spotify.com/v1/playlists/{pid}/tracks",
json=self._TRACKS, status=200,
)
charts.fetch_spotify("top50_italy", force=False)
charts.fetch_spotify("top50_italy", force=False)
assert len(responses.calls) == 1
def test_fetch_spotify_returns_empty_if_no_creds(self, patched_cache, monkeypatch):
monkeypatch.setattr(charts, "_spotify_credentials", lambda: ("", ""))
assert charts.fetch_spotify("top50_global", force=True) == []
def test_fetch_spotify_returns_empty_if_invalid_key(self, patched_cache):
assert charts.fetch_spotify("not_a_real_key", force=True) == []
@responses.activate
def test_fetch_spotify_returns_empty_on_404(self, patched_cache, monkeypatch):
monkeypatch.setattr(
charts, "_spotify_credentials", lambda: ("cid", "csecret"),
)
monkeypatch.setattr(
"core.spotify_client.get_access_token",
lambda cid, csecret: "tok",
)
pid, _ = charts._SPOTIFY_CHARTS["viral50_global"]
responses.add(
responses.GET,
f"https://api.spotify.com/v1/playlists/{pid}/tracks",
status=404,
)
assert charts.fetch_spotify("viral50_global", force=True) == []
# ==================================================================
# M2O Chart
# ==================================================================
class TestFetchM2O:
_HTML = """
<html><body>
<main>
<article>
<div class="chart-left">
<span class="position equal">1</span>
<div class="text-list">
<h3 class="title small song">MOVIN' TO THE SUN</h3>
<h4 class="title xsmall author">HUGEL, IMAEL ANGEL, ULTRA NATE</h4>
</div>
</div>
<div class="chart-right">
<figure><img src="https://m2o/img1.jpg"></figure>
</div>
</article>
<article>
<div class="chart-left">
<span class="position">2</span>
<h3 class="title small song">SECOND SONG</h3>
<h4 class="title xsmall author">DJ TEST</h4>
</div>
<div class="chart-right">
<figure><img src="https://m2o/img2.jpg"></figure>
</div>
</article>
<article>
<div class="chart-left">
<span class="position">N/A</span>
<h3 class="title small song">INVALID</h3>
</div>
</article>
</main>
</body></html>
"""
@responses.activate
def test_fetch_m2o_parses_html(self, patched_cache):
responses.add(responses.GET, charts._M2O_URL, body=self._HTML, status=200)
out = charts.fetch_m2o(force=True)
# Il 3o article ha "N/A" come position -> skippato
assert len(out) == 2
assert out[0]["rank"] == 1
assert out[0]["title"] == "MOVIN' TO THE SUN"
assert out[0]["artist"] == "HUGEL, IMAEL ANGEL, ULTRA NATE"
assert out[0]["image_url"] == "https://m2o/img1.jpg"
assert out[0]["album"] == ""
assert out[0]["popularity"] is None
assert out[1]["rank"] == 2
@responses.activate
def test_fetch_m2o_skips_invalid_position(self, patched_cache):
# Solo 1 article valido nella pagina
responses.add(
responses.GET, charts._M2O_URL,
body="""<article>
<span class="position">not_a_number</span>
<h3 class="title small song">X</h3>
</article>""",
status=200,
)
assert charts.fetch_m2o(force=True) == []
@responses.activate
def test_fetch_m2o_uses_cache(self, patched_cache):
responses.add(responses.GET, charts._M2O_URL, body=self._HTML, status=200)
charts.fetch_m2o(force=False)
charts.fetch_m2o(force=False)
assert len(responses.calls) == 1
@responses.activate
def test_fetch_m2o_empty_on_error(self, patched_cache):
responses.add(responses.GET, charts._M2O_URL, status=500)
assert charts.fetch_m2o(force=True) == []
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"""Test per core.converter — file scanning + stop event.
I test evitano di invocare ffmpeg reale (che potrebbe non essere in PATH
in CI). La funzione di conversione vera e propria e' coperta manualmente.
"""
from __future__ import annotations
from pathlib import Path
import pytest
from core import converter
class TestListWavFiles:
def test_scans_recursively(self, tmp_path: Path):
# Struttura:
# root/a.wav
# root/b.WAV (case insensitive: glob su POSIX distingue,
# quindi controllo esplicito che almeno i .wav
# minuscoli siano restituiti)
# root/c.mp3
# root/sub/d.wav
(tmp_path / "a.wav").write_bytes(b"RIFF")
(tmp_path / "c.mp3").write_bytes(b"ID3")
sub = tmp_path / "sub"
sub.mkdir()
(sub / "d.wav").write_bytes(b"RIFF")
got = converter.list_wav_files(str(tmp_path), recursive=True)
assert len(got) == 2
names = {Path(p).name for p in got}
assert names == {"a.wav", "d.wav"}
# Ordinamento stabile
assert got == sorted(got)
def test_non_recursive_ignores_subfolders(self, tmp_path: Path):
(tmp_path / "a.wav").write_bytes(b"RIFF")
sub = tmp_path / "sub"
sub.mkdir()
(sub / "b.wav").write_bytes(b"RIFF")
got = converter.list_wav_files(str(tmp_path), recursive=False)
assert len(got) == 1
assert Path(got[0]).name == "a.wav"
def test_empty_dir_returns_empty(self, tmp_path: Path):
assert converter.list_wav_files(str(tmp_path)) == []
def test_missing_dir_returns_empty(self, tmp_path: Path):
missing = tmp_path / "does-not-exist"
assert converter.list_wav_files(str(missing)) == []
def test_ignores_non_wav_files(self, tmp_path: Path):
(tmp_path / "song.mp3").write_bytes(b"ID3")
(tmp_path / "song.flac").write_bytes(b"fLaC")
(tmp_path / "notes.txt").write_text("hello")
assert converter.list_wav_files(str(tmp_path)) == []
class TestStopEvent:
def setup_method(self):
# Ogni test parte con lo stop event pulito.
converter.reset_stop()
def teardown_method(self):
converter.reset_stop()
def test_reset_initially_not_stopped(self):
converter.reset_stop()
assert converter.is_stopped() is False
def test_request_stop_sets_flag(self):
converter.request_stop()
assert converter.is_stopped() is True
def test_reset_after_stop_clears_flag(self):
converter.request_stop()
assert converter.is_stopped() is True
converter.reset_stop()
assert converter.is_stopped() is False
class TestConvertWavToMp3Errors:
def test_missing_input_raises(self, tmp_path: Path):
missing = tmp_path / "nope.wav"
out = tmp_path / "out.mp3"
with pytest.raises(FileNotFoundError):
converter.convert_wav_to_mp3(str(missing), str(out))
class TestVbrQualityMap:
def test_all_bitrates_have_mapping(self):
for br in (128, 192, 256, 320):
assert br in converter._VBR_QUALITY
def test_higher_bitrate_lower_or_equal_quality_number(self):
# -q:a: piu' basso = migliore. Coerenza monotona sulle chiavi.
vals = [converter._VBR_QUALITY[br] for br in (128, 192, 256, 320)]
assert vals == sorted(vals, reverse=True)
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"""Test per core.dedup — audio fingerprinting via fpcalc + cache SQLite.
Tutti gli unit test usano mock per fpcalc / send2trash: nessuna
integrazione reale, nessun file audio necessario.
"""
from __future__ import annotations
import subprocess
from pathlib import Path
from unittest import mock
import pytest
from core import dedup
# ------------------------------------------------------------------
# Fixture: dedup con cache DB isolato in tmp_path
# ------------------------------------------------------------------
@pytest.fixture
def patched_cache(tmp_path, monkeypatch):
"""Isola la cache SQLite in tmp_path per non toccare il config dir."""
db = tmp_path / "dedup_cache_test.db"
monkeypatch.setattr(dedup, "_cache_db_path", lambda: db)
return db
def _make_fake_audio(tmp_path: Path, name: str, size: int = 1024) -> Path:
"""Crea un file 'audio' fake (byte casuali con estensione .mp3)."""
f = tmp_path / name
f.write_bytes(b"\x00" * size)
return f
# ------------------------------------------------------------------
# scan_folder
# ------------------------------------------------------------------
class TestScanFolder:
def test_no_audio_files(self, tmp_path, patched_cache):
"""Cartella senza audio -> gruppi vuoti, nessuna eccezione."""
# Solo un file .txt (non audio)
(tmp_path / "readme.txt").write_text("hello")
# Anche senza fpcalc disponibile, con 0 audio file ritorna [].
with mock.patch.object(dedup, "find_fpcalc", return_value="/fake/fpcalc"):
groups = dedup.scan_folder(str(tmp_path), recursive=False)
assert groups == []
def test_uses_cache_on_second_scan(self, tmp_path, patched_cache):
"""Prima scan chiama fpcalc; seconda scan riusa la cache."""
_make_fake_audio(tmp_path, "song.mp3", size=2048)
calls: list[str] = []
def fake_compute(fpcalc, path):
calls.append(path)
return {"duration": 180.5, "fingerprint": "FP-A"}
with mock.patch.object(dedup, "find_fpcalc", return_value="/fake/fpcalc"), \
mock.patch.object(dedup, "compute_fingerprint", side_effect=fake_compute), \
mock.patch.object(dedup, "get_bitrate", return_value=320):
# Prima invocazione: fpcalc DEVE essere chiamato
groups1 = dedup.scan_folder(str(tmp_path), recursive=False)
first_calls = len(calls)
# Seconda invocazione (stesso file, stesso mtime/size):
# cache HIT, fpcalc NON viene richiamato
groups2 = dedup.scan_folder(str(tmp_path), recursive=False)
second_calls = len(calls)
assert first_calls == 1, "prima scan deve chiamare fpcalc una volta"
assert second_calls == 1, "seconda scan deve riusare la cache"
# Con un solo file, nessun gruppo di duplicati
assert groups1 == []
assert groups2 == []
def test_groups_duplicates(self, tmp_path, patched_cache):
"""3 file con lo stesso fingerprint -> 1 gruppo di 3, ordinato per bitrate DESC."""
_make_fake_audio(tmp_path, "a.mp3", size=1000)
_make_fake_audio(tmp_path, "b.mp3", size=3000) # size maggiore
_make_fake_audio(tmp_path, "c.mp3", size=2000)
# Tutti stesso fingerprint. Bitrate differente per verificare
# l'ordinamento: b=320 (top), a=192, c=128.
bitrate_by_name = {"a.mp3": 192, "b.mp3": 320, "c.mp3": 128}
with mock.patch.object(dedup, "find_fpcalc", return_value="/fake/fpcalc"), \
mock.patch.object(dedup, "compute_fingerprint",
return_value={"duration": 200, "fingerprint": "SAME-FP"}), \
mock.patch.object(dedup, "get_bitrate",
side_effect=lambda p: bitrate_by_name[Path(p).name]):
groups = dedup.scan_folder(str(tmp_path), recursive=False)
assert len(groups) == 1, "esattamente un gruppo di duplicati"
g = groups[0]
assert len(g) == 3, "tre file nel gruppo"
# Ordine: bitrate DESC -> b (320), a (192), c (128)
assert [Path(e["path"]).name for e in g] == ["b.mp3", "a.mp3", "c.mp3"]
# Ogni entry ha i campi attesi
for e in g:
assert set(e.keys()) >= {"path", "size", "bitrate", "duration", "fingerprint"}
assert e["fingerprint"] == "SAME-FP"
def test_ignores_singletons(self, tmp_path, patched_cache):
"""File con fingerprint unico non compaiono nei gruppi."""
_make_fake_audio(tmp_path, "dup1.mp3")
_make_fake_audio(tmp_path, "dup2.mp3")
_make_fake_audio(tmp_path, "unique.mp3")
fp_by_name = {"dup1.mp3": "FP-X", "dup2.mp3": "FP-X", "unique.mp3": "FP-Y"}
def fake_compute(fpcalc, path):
return {"duration": 100, "fingerprint": fp_by_name[Path(path).name]}
with mock.patch.object(dedup, "find_fpcalc", return_value="/fake/fpcalc"), \
mock.patch.object(dedup, "compute_fingerprint", side_effect=fake_compute), \
mock.patch.object(dedup, "get_bitrate", return_value=256):
groups = dedup.scan_folder(str(tmp_path), recursive=False)
# Solo il gruppo con dup1/dup2
assert len(groups) == 1
names = {Path(e["path"]).name for e in groups[0]}
assert names == {"dup1.mp3", "dup2.mp3"}
# unique.mp3 non appare in nessun gruppo
for g in groups:
for e in g:
assert Path(e["path"]).name != "unique.mp3"
# ------------------------------------------------------------------
# move_to_trash
# ------------------------------------------------------------------
class TestMoveToTrash:
def test_returns_moved_and_failed_summary(self, tmp_path, patched_cache):
"""Verifica che il summary contenga moved/failed correttamente."""
# 2 path OK + 1 path che alza eccezione
ok1 = str(tmp_path / "ok1.mp3")
ok2 = str(tmp_path / "ok2.mp3")
bad = str(tmp_path / "bad.mp3")
def fake_send(p):
if p == bad:
raise OSError("simulated failure")
# ok: no-op
# Il modulo importa send2trash *dentro* la funzione, quindi
# dobbiamo patchare il modulo importato.
with mock.patch("send2trash.send2trash", side_effect=fake_send):
res = dedup.move_to_trash([ok1, bad, ok2])
assert set(res["moved"]) == {ok1, ok2}
assert len(res["failed"]) == 1
assert res["failed"][0]["path"] == bad
assert "simulated failure" in res["failed"][0]["error"]
# ------------------------------------------------------------------
# compute_fingerprint
# ------------------------------------------------------------------
class TestComputeFingerprint:
def test_timeout_returns_error(self):
"""Timeout di fpcalc -> dict con _error, no fingerprint."""
with mock.patch("core.dedup.subprocess.run",
side_effect=subprocess.TimeoutExpired(cmd="fpcalc", timeout=30)):
result = dedup.compute_fingerprint("/fake/fpcalc", "/some/file.mp3")
assert result and "_error" in result and "timeout" in result["_error"]
assert "fingerprint" not in result
def test_success_returns_dict(self):
"""Output JSON valido -> {duration, fingerprint}."""
fake_proc = mock.Mock()
fake_proc.returncode = 0
fake_proc.stdout = '{"duration": 123.4, "fingerprint": "ABCDEF"}'
with mock.patch("core.dedup.subprocess.run", return_value=fake_proc):
result = dedup.compute_fingerprint("/fake/fpcalc", "/some/file.mp3")
assert result == {"duration": 123.4, "fingerprint": "ABCDEF"}
def test_bad_json_returns_error(self):
fake_proc = mock.Mock()
fake_proc.returncode = 0
fake_proc.stdout = "not json at all"
with mock.patch("core.dedup.subprocess.run", return_value=fake_proc):
result = dedup.compute_fingerprint("/fake/fpcalc", "/some/file.mp3")
assert result and "_error" in result and "JSON" in result["_error"]
assert "fingerprint" not in result
def test_missing_fpcalc_returns_error(self):
# Nessuna chiamata subprocess se fpcalc e' vuoto
result = dedup.compute_fingerprint("", "/some/file.mp3")
assert result and "_error" in result and "fpcalc" in result["_error"]
assert "fingerprint" not in result
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"""Test per core.spotify_client.search_track()."""
from __future__ import annotations
from unittest.mock import patch
import pytest
import responses
from core import spotify_client
class TestSearchTrack:
@responses.activate
def test_returns_track_dict_when_found(self):
responses.add(
responses.GET,
"https://api.spotify.com/v1/search",
json={
"tracks": {
"items": [
{
"id": "abc123",
"name": "Hot Sauce",
"artists": [{"name": "Kapuchon"}],
"external_urls": {"spotify": "https://open.spotify.com/track/abc123"},
}
]
}
},
status=200,
)
result = spotify_client.search_track("fake-token", "Kapuchon Hot Sauce")
assert result is not None
assert result["id"] == "abc123"
assert result["url"] == "https://open.spotify.com/track/abc123"
@responses.activate
def test_returns_none_when_no_results(self):
responses.add(
responses.GET,
"https://api.spotify.com/v1/search",
json={"tracks": {"items": []}},
status=200,
)
result = spotify_client.search_track("fake-token", "no-match")
assert result is None
@responses.activate
def test_sends_bearer_token(self):
responses.add(
responses.GET,
"https://api.spotify.com/v1/search",
json={"tracks": {"items": []}},
status=200,
)
spotify_client.search_track("my-token", "q")
assert responses.calls[0].request.headers["Authorization"] == "Bearer my-token"
@responses.activate
def test_query_params_correct(self):
responses.add(
responses.GET,
"https://api.spotify.com/v1/search",
json={"tracks": {"items": []}},
status=200,
)
spotify_client.search_track("t", "Kapuchon Hot Sauce")
params = responses.calls[0].request.params
assert params["q"] == "Kapuchon Hot Sauce"
assert params["type"] == "track"
assert params["limit"] == "1"
class TestSearchTracks:
@responses.activate
def test_returns_list_of_tracks(self):
responses.add(
responses.GET,
"https://api.spotify.com/v1/search",
json={
"tracks": {
"items": [
{
"id": f"id{i}",
"name": f"Track {i}",
"artists": [{"name": "Solomun"}],
"album": {"name": "Album X"},
"duration_ms": 300000 + i * 1000,
"external_urls": {"spotify": f"https://open.spotify.com/track/id{i}"},
}
for i in range(50)
]
}
},
status=200,
)
result = spotify_client.search_tracks("t", "solomun", limit=50)
assert isinstance(result, list)
assert len(result) == 50
first = result[0]
assert first["id"] == "id0"
assert first["name"] == "Track 0"
assert first["artists"] == "Solomun"
assert first["album"] == "Album X"
assert first["duration_sec"] == 300
assert first["url"] == "https://open.spotify.com/track/id0"
@responses.activate
def test_multiple_artists_joined_with_comma(self):
responses.add(
responses.GET,
"https://api.spotify.com/v1/search",
json={"tracks": {"items": [{
"id": "x", "name": "n",
"artists": [{"name": "A"}, {"name": "B"}, {"name": "C"}],
"album": {"name": "Alb"},
"duration_ms": 60000,
"external_urls": {"spotify": "u"},
}]}},
status=200,
)
result = spotify_client.search_tracks("t", "q", limit=1)
assert result[0]["artists"] == "A, B, C"
@responses.activate
def test_empty_query_returns_empty_list(self):
responses.add(
responses.GET,
"https://api.spotify.com/v1/search",
json={"tracks": {"items": []}},
status=200,
)
result = spotify_client.search_tracks("t", "no-match", limit=50)
assert result == []
@responses.activate
def test_query_params_include_limit(self):
responses.add(
responses.GET,
"https://api.spotify.com/v1/search",
json={"tracks": {"items": []}},
status=200,
)
spotify_client.search_tracks("t", "q", limit=25)
params = responses.calls[0].request.params
assert params["q"] == "q"
assert params["type"] == "track"
assert params["limit"] == "25"
class TestSearchArtistDiscography:
@responses.activate
def test_exact_name_match_beats_popular(self):
# 3 candidati: uno esatto (case-insensitive), altri popolari
responses.add(
responses.GET,
"https://api.spotify.com/v1/search",
json={"artists": {"items": [
{"id": "pop", "name": "Solomun Tribute", "popularity": 90},
{"id": "exact", "name": "SOLOMUN", "popularity": 60},
{"id": "unrelated", "name": "Other", "popularity": 70},
]}},
status=200,
)
# Mock top-tracks vuoto per non allungare il test
responses.add(
responses.GET,
"https://api.spotify.com/v1/artists/exact/top-tracks",
json={"tracks": []},
status=200,
)
# Mock albums vuoto
responses.add(
responses.GET,
"https://api.spotify.com/v1/artists/exact/albums",
json={"items": []},
status=200,
)
result = spotify_client.search_artist_discography("t", "Solomun")
assert result == []
# Verifica che sia stato chiamato l'artista "exact", non "pop"
top_tracks_calls = [c for c in responses.calls if "/top-tracks" in c.request.url]
assert len(top_tracks_calls) == 1
assert "/exact/top-tracks" in top_tracks_calls[0].request.url
@responses.activate
def test_falls_back_to_most_popular_if_no_exact_match(self):
responses.add(
responses.GET,
"https://api.spotify.com/v1/search",
json={"artists": {"items": [
{"id": "a1", "name": "Solomun Fanpage", "popularity": 30},
{"id": "a2", "name": "Solomun Live", "popularity": 80},
]}},
status=200,
)
responses.add(
responses.GET,
"https://api.spotify.com/v1/artists/a2/top-tracks",
json={"tracks": []},
status=200,
)
responses.add(
responses.GET,
"https://api.spotify.com/v1/artists/a2/albums",
json={"items": []},
status=200,
)
spotify_client.search_artist_discography("t", "solomun")
top_tracks_calls = [c for c in responses.calls if "/top-tracks" in c.request.url]
assert "/a2/top-tracks" in top_tracks_calls[0].request.url
@responses.activate
def test_raises_when_no_artist_found(self):
responses.add(
responses.GET,
"https://api.spotify.com/v1/search",
json={"artists": {"items": []}},
status=200,
)
with pytest.raises(ValueError, match="Artista"):
spotify_client.search_artist_discography("t", "asdgjhkasdgj")
@responses.activate
def test_combines_top_tracks_and_album_tracks(self):
# 1 artista esatto
responses.add(
responses.GET,
"https://api.spotify.com/v1/search",
json={"artists": {"items": [{"id": "artX", "name": "artX", "popularity": 50}]}},
status=200,
)
# 3 top-tracks
top_tracks_data = {"tracks": [
{
"id": f"t{i}", "name": f"Top{i}",
"artists": [{"name": "artX"}],
"album": {"name": "AlbTop"},
"duration_ms": 200000,
"external_urls": {"spotify": f"u{i}"},
} for i in range(3)
]}
responses.add(
responses.GET,
"https://api.spotify.com/v1/artists/artX/top-tracks",
json=top_tracks_data,
status=200,
)
# 2 album
responses.add(
responses.GET,
"https://api.spotify.com/v1/artists/artX/albums",
json={"items": [
{"id": "alb1", "name": "Album 1"},
{"id": "alb2", "name": "Album 2"},
]},
status=200,
)
# album 1: 2 tracce
responses.add(
responses.GET,
"https://api.spotify.com/v1/albums/alb1/tracks",
json={"items": [
{
"id": f"a1t{i}", "name": f"Alb1Track{i}",
"artists": [{"name": "artX"}],
"duration_ms": 180000,
"external_urls": {"spotify": f"a1u{i}"},
} for i in range(2)
]},
status=200,
)
# album 2: 1 traccia
responses.add(
responses.GET,
"https://api.spotify.com/v1/albums/alb2/tracks",
json={"items": [
{
"id": "a2t0", "name": "Alb2Track0",
"artists": [{"name": "artX"}],
"duration_ms": 240000,
"external_urls": {"spotify": "a2u0"},
}
]},
status=200,
)
with patch("core.spotify_client.time.sleep"): # no wait
result = spotify_client.search_artist_discography("t", "artX")
# 3 top + 2 alb1 + 1 alb2 = 6
assert len(result) == 6
titles = {r["name"] for r in result}
assert "Top0" in titles
assert "Alb1Track0" in titles
assert "Alb2Track0" in titles
@responses.activate
def test_dedupe_across_top_and_album(self):
responses.add(
responses.GET,
"https://api.spotify.com/v1/search",
json={"artists": {"items": [{"id": "aX", "name": "aX", "popularity": 50}]}},
status=200,
)
# Stesso track name+artist in top-tracks e in album (id diverso)
common = {
"name": "Same Song",
"artists": [{"name": "aX"}],
"album": {"name": "OG Album"},
"duration_ms": 200000,
"external_urls": {"spotify": "u"},
}
responses.add(
responses.GET,
"https://api.spotify.com/v1/artists/aX/top-tracks",
json={"tracks": [{**common, "id": "top-id"}]},
status=200,
)
responses.add(
responses.GET,
"https://api.spotify.com/v1/artists/aX/albums",
json={"items": [{"id": "alb", "name": "OG"}]},
status=200,
)
responses.add(
responses.GET,
"https://api.spotify.com/v1/albums/alb/tracks",
json={"items": [{**common, "id": "alb-id"}]},
status=200,
)
with patch("core.spotify_client.time.sleep"):
result = spotify_client.search_artist_discography("t", "aX")
assert len(result) == 1
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"""Test per core.tagger — filename sanitization + write_tags safety net."""
from __future__ import annotations
from core import tagger
class TestSanitizeFilenameStem:
def test_removes_bad_chars(self):
# Tutti i char vietati su Windows/macOS: < > : " / \ | ? *
got = tagger.sanitize_filename_stem('bad<name>:"/\\|?*test')
# Nessuno dei char proibiti sopravvive
for ch in '<>:"/\\|?*':
assert ch not in got
# E ho ottenuto qualcosa di non vuoto
assert got
def test_collapses_whitespace(self):
assert tagger.sanitize_filename_stem("a b c") == "a b c"
def test_truncates_long_stem(self):
s = "x" * 500
got = tagger.sanitize_filename_stem(s, max_len=180)
assert len(got) <= 180
def test_empty_returns_untitled(self):
assert tagger.sanitize_filename_stem("") == "untitled"
assert tagger.sanitize_filename_stem(" ") == "untitled"
class TestBuildFilenameStem:
def test_format_artist_dash_title(self):
assert tagger.build_filename_stem("Kapuchon", "Hot Sauce") == "Kapuchon - Hot Sauce"
def test_multiple_artists_ok(self):
got = tagger.build_filename_stem("Kapuchon, Miss Monique & GLZ", "Hot Sauce (Extended)")
assert got == "Kapuchon, Miss Monique & GLZ - Hot Sauce (Extended)"
def test_missing_artist_uses_title_only(self):
assert tagger.build_filename_stem("", "Only Title") == "Only Title"
def test_missing_title_uses_artist_only(self):
assert tagger.build_filename_stem("Only Artist", "") == "Only Artist"
def test_sanitizes_bad_chars(self):
got = tagger.build_filename_stem("A/B", "C:D")
# Nessuno slash o colon residuo
assert "/" not in got
assert ":" not in got
class TestWriteTagsMissingFile:
def test_missing_file_is_noop(self):
# Non deve sollevare alcuna eccezione se il file non esiste
tagger.write_tags("/nonexistent/path/to/file.mp3", {
"title": "x", "artist": "y", "cover_url": "http://example.com/x.jpg",
})
+217
View File
@@ -0,0 +1,217 @@
"""Test per core.traxsource."""
from __future__ import annotations
import pytest
from core import traxsource
class TestListGenres:
def test_returns_list_of_dicts(self):
result = traxsource.list_genres()
assert isinstance(result, list)
assert len(result) >= 10
for g in result:
assert set(g.keys()) == {"slug", "id", "name"}
assert isinstance(g["slug"], str) and g["slug"]
assert isinstance(g["id"], int) and g["id"] > 0
assert isinstance(g["name"], str) and g["name"]
def test_sorted_alphabetically_by_name(self):
result = traxsource.list_genres()
names = [g["name"] for g in result]
assert names == sorted(names, key=str.casefold)
def test_tech_house_present(self):
result = traxsource.list_genres()
slugs = [g["slug"] for g in result]
assert "tech-house" in slugs
class TestTraxsourceTrack:
def test_frozen(self):
t = traxsource.TraxsourceTrack(
position=1, title="X", mix="Y", artists="A", label="L",
traxsource_id=1, slug="x",
)
with pytest.raises(Exception):
t.title = "Z"
def test_defaults(self):
t = traxsource.TraxsourceTrack(
position=1, title="X", mix="", artists="A", label="",
traxsource_id=1, slug="x",
)
assert t.image_url == ""
assert t.cover_url_large == ""
class TestSplitTitleMix:
def test_with_parens(self):
assert traxsource._split_title_mix("Foo (Extended Mix)") == ("Foo", "Extended Mix")
def test_without_parens(self):
assert traxsource._split_title_mix("Foo") == ("Foo", "")
def test_multiple_parens_takes_last(self):
# es. "Foo (feat. Bar) (Original Mix)" -> mix = "Original Mix"
assert traxsource._split_title_mix("Foo (feat. Bar) (Original Mix)") == ("Foo (feat. Bar)", "Original Mix")
def test_empty(self):
assert traxsource._split_title_mix("") == ("", "")
class TestFormatArtists:
def test_single(self):
assert traxsource._format_artists(["Kapuchon"]) == "Kapuchon"
def test_two(self):
assert traxsource._format_artists(["A", "B"]) == "A & B"
def test_three(self):
assert traxsource._format_artists(["A", "B", "C"]) == "A, B & C"
def test_empty(self):
assert traxsource._format_artists([]) == ""
def test_strips_whitespace(self):
assert traxsource._format_artists([" A ", " B "]) == "A & B"
class TestLargeCover:
def test_substitutes_52x52_with_500x500(self):
url = "https://www.traxsource.com/scripts/image.php/52x52/abc.jpg"
assert traxsource._large_cover(url) == "https://www.traxsource.com/scripts/image.php/500x500/abc.jpg"
def test_no_change_when_no_pattern(self):
assert traxsource._large_cover("https://example.com/x.jpg") == "https://example.com/x.jpg"
def test_empty(self):
assert traxsource._large_cover("") == ""
class TestExceptions:
def test_exceptions_are_subclasses(self):
assert issubclass(traxsource.TraxsourceUnreachableError, traxsource.TraxsourceError)
assert issubclass(traxsource.TraxsourceParseError, traxsource.TraxsourceError)
class TestDiscoverTop100Url:
def test_extracts_link_from_genre_page(self, fixtures_dir):
html = (fixtures_dir / "traxsource_tech_house_genre.html").read_text()
url = traxsource._discover_top100_url(html)
assert url.startswith("/title/")
assert "top-100" in url
def test_raises_when_no_link(self):
with pytest.raises(traxsource.TraxsourceParseError, match="Top 100"):
traxsource._discover_top100_url("<html>nulla</html>")
class TestParseTracks:
def test_parses_100_tracks(self, fixtures_dir):
html = (fixtures_dir / "traxsource_tech_house_top100.html").read_text()
tracks = traxsource._parse_tracks(html)
assert len(tracks) == 100
def test_positions_sequential_1_to_100(self, fixtures_dir):
html = (fixtures_dir / "traxsource_tech_house_top100.html").read_text()
tracks = traxsource._parse_tracks(html)
positions = [t.position for t in tracks]
assert positions == list(range(1, 101))
def test_track_shape(self, fixtures_dir):
html = (fixtures_dir / "traxsource_tech_house_top100.html").read_text()
tracks = traxsource._parse_tracks(html)
first = tracks[0]
assert first.title
assert first.artists
assert first.traxsource_id > 0
assert first.slug
assert first.image_url.startswith("https://")
assert first.cover_url_large.startswith("https://")
assert "500x500" in first.cover_url_large
def test_raises_when_no_tracks(self):
with pytest.raises(traxsource.TraxsourceParseError, match="track"):
traxsource._parse_tracks("<html>vuoto</html>")
from unittest.mock import patch, MagicMock
def _mock_response(text: str, status_code: int = 200) -> MagicMock:
resp = MagicMock()
resp.text = text
resp.status_code = status_code
def _raise():
if status_code >= 400:
raise Exception(f"HTTP {status_code}")
resp.raise_for_status = _raise
return resp
class TestFetchTop100:
@pytest.fixture
def genre_html(self, fixtures_dir):
return (fixtures_dir / "traxsource_tech_house_genre.html").read_text()
@pytest.fixture
def top100_html(self, fixtures_dir):
return (fixtures_dir / "traxsource_tech_house_top100.html").read_text()
def test_success_returns_100_tracks(self, genre_html, top100_html):
traxsource._cache.clear()
mock_sess = MagicMock()
mock_sess.get.side_effect = [
_mock_response(genre_html, 200),
_mock_response(top100_html, 200),
]
with patch("core.traxsource._session", return_value=mock_sess):
tracks = traxsource.fetch_top100("tech-house")
assert len(tracks) == 100
def test_invalid_slug_raises_value_error(self):
with pytest.raises(ValueError, match="slug"):
traxsource.fetch_top100("not-a-genre")
def test_5xx_retries_and_raises_unreachable(self):
traxsource._cache.clear()
mock_sess = MagicMock()
mock_sess.get.return_value = _mock_response("", 503)
with patch("core.traxsource._session", return_value=mock_sess), \
patch("core.traxsource.time.sleep"):
with pytest.raises(traxsource.TraxsourceUnreachableError):
traxsource.fetch_top100("tech-house")
# 3 tentativi
assert mock_sess.get.call_count == 3
def test_cache_hit_within_ttl(self, genre_html, top100_html):
traxsource._cache.clear()
mock_sess = MagicMock()
mock_sess.get.side_effect = [
_mock_response(genre_html, 200),
_mock_response(top100_html, 200),
]
with patch("core.traxsource._session", return_value=mock_sess):
traxsource.fetch_top100("tech-house")
traxsource.fetch_top100("tech-house")
# 2 chiamate al primo fetch (genre + top100), 0 al secondo
assert mock_sess.get.call_count == 2
def test_force_refresh_bypasses_cache(self, genre_html, top100_html):
traxsource._cache.clear()
mock_sess = MagicMock()
# 4 risposte (2 fetch x 2 richieste ciascuno)
mock_sess.get.side_effect = [
_mock_response(genre_html, 200),
_mock_response(top100_html, 200),
_mock_response(genre_html, 200),
_mock_response(top100_html, 200),
]
with patch("core.traxsource._session", return_value=mock_sess):
traxsource.fetch_top100("tech-house")
traxsource.fetch_top100("tech-house", force_refresh=True)
assert mock_sess.get.call_count == 4
+169
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@@ -0,0 +1,169 @@
"""Test unitari per le funzioni di archive-lookup in core.upgrader.
Focalizzati su _normalize_stem, _scan_archive, _find_candidates.
Non testiamo il flow end-to-end di upgrade_folder (richiederebbe mock
di subprocess/yt-dlp/ffmpeg — out of scope, coperto da smoke test manuale).
"""
from __future__ import annotations
from pathlib import Path
from unittest.mock import patch
import pytest
from core import upgrader
# ============================================================
# _normalize_stem
# ============================================================
class TestNormalizeStem:
def test_lowercase_and_dedup(self):
# "Hot" e "hot" → un solo token; token duplicati collassano nel set
got = upgrader._normalize_stem("Hot Sauce hot sauce")
assert got == {"hot", "sauce"}
def test_filters_short_tokens(self):
# Token di lunghezza < 3 vengono scartati (di, il, a, b, cd...)
got = upgrader._normalize_stem("A B cd Boombox")
assert "a" not in got
assert "b" not in got
assert "cd" not in got
assert "boombox" in got
def test_removes_punctuation(self):
# Trattini, virgole, parentesi, apostrofi → tutti sostituiti con spazi
got = upgrader._normalize_stem("Artist - Title (Extended Mix)")
assert got == {"artist", "title", "extended", "mix"}
def test_empty_input(self):
assert upgrader._normalize_stem("") == set()
assert upgrader._normalize_stem(" ") == set()
def test_only_short_tokens_returns_empty(self):
assert upgrader._normalize_stem("a b c d") == set()
# ============================================================
# _scan_archive
# ============================================================
class TestScanArchive:
def test_recursive_scan(self, tmp_path: Path):
# Crea albero: top-level + sub/ + sub/sub2/
(tmp_path / "Artist - Song.mp3").touch()
(tmp_path / "sub").mkdir()
(tmp_path / "sub" / "Second Track.mp3").touch()
(tmp_path / "sub" / "sub2").mkdir()
(tmp_path / "sub" / "sub2" / "Deep One.m4a").touch()
# File non-audio devono essere ignorati
(tmp_path / "readme.txt").touch()
index = upgrader._scan_archive(str(tmp_path))
# 3 entries totali (una per ogni file audio, ognuna con token distinti)
assert len(index) == 3
# Verifica che le path siano riferite ai file corretti
all_paths = [p for paths in index.values() for p in paths]
names = sorted(p.name for p in all_paths)
assert names == ["Artist - Song.mp3", "Deep One.m4a", "Second Track.mp3"]
def test_case_insensitive_extensions(self, tmp_path: Path):
(tmp_path / "one.MP3").touch()
(tmp_path / "two.Mp3").touch()
(tmp_path / "three.WAV").touch()
(tmp_path / "four.FLAC").touch()
(tmp_path / "five.txt").touch() # non-audio: ignorato
index = upgrader._scan_archive(str(tmp_path))
all_paths = [p for paths in index.values() for p in paths]
assert len(all_paths) == 4 # 4 file audio, 1 skippato
def test_duplicates_appended(self, tmp_path: Path):
# Due file con stesso token set → stessa key, due path
(tmp_path / "sub1").mkdir()
(tmp_path / "sub2").mkdir()
(tmp_path / "sub1" / "Hot Sauce.mp3").touch()
(tmp_path / "sub2" / "Hot Sauce.mp3").touch()
index = upgrader._scan_archive(str(tmp_path))
assert len(index) == 1
# Una sola chiave, con 2 path
paths = list(index.values())[0]
assert len(paths) == 2
def test_nonexistent_dir_returns_empty(self, tmp_path: Path):
assert upgrader._scan_archive(str(tmp_path / "nope")) == {}
def test_empty_stems_skipped(self, tmp_path: Path):
# File il cui stem produce zero token utili (solo caratteri corti) → skip
(tmp_path / "a.mp3").touch()
(tmp_path / "Real Track Name.mp3").touch()
index = upgrader._scan_archive(str(tmp_path))
# Solo "Real Track Name.mp3" ha token >=3 chars
all_paths = [p for paths in index.values() for p in paths]
assert len(all_paths) == 1
assert all_paths[0].name == "Real Track Name.mp3"
# ============================================================
# _find_candidates
# ============================================================
class TestFindCandidates:
def _fake_index(self, tmp_path: Path, entries: list) -> dict:
"""Helper: crea file (touch) e ritorna un index manuale."""
index: dict = {}
for name in entries:
p = tmp_path / name
p.touch()
tokens = upgrader._normalize_stem(p.stem)
key = upgrader._tokens_to_key(tokens)
index.setdefault(key, []).append(p)
return index
def test_ranking_bitrate_desc_then_similarity_desc(self, tmp_path: Path):
# 3 candidati: variamo bitrate + similarity per verificare l'ordine
# a: sim alta (0.75), bitrate basso (128)
# b: sim media (0.5), bitrate alto (320)
# c: sim alta (0.75), bitrate medio (192)
# Ordine atteso: b(320) > c(192, sim 0.75) > a(128)
idx = self._fake_index(tmp_path, [
"Artist - Hot Sauce.mp3", # a: 3 token comuni su 4 = 0.75
"Different Song Boombox.mp3", # b: 1 su 5 = 0.2 (troppo bassa, filtrato)
"Artist Hot Sauce Extended.mp3", # c: 3 su 4 = 0.75
])
# Target: "Artist Hot Sauce" → tokens = {artist, hot, sauce}
target = "Artist Hot Sauce"
# Mock bitrate: mappa nome → kbps
def fake_bitrate(p):
n = Path(p).name
if n == "Artist - Hot Sauce.mp3": return 128
if n == "Different Song Boombox.mp3": return 320
if n == "Artist Hot Sauce Extended.mp3": return 192
return 0
with patch.object(upgrader, "get_bitrate", side_effect=fake_bitrate):
results = upgrader._find_candidates(target, idx, min_similarity=0.3)
# "b" viene filtrato (sim 1/5 = 0.2 < 0.3 min); restano a e c
assert len(results) == 2
# c (bitrate 192) prima di a (bitrate 128)
assert results[0][0].name == "Artist Hot Sauce Extended.mp3"
assert results[1][0].name == "Artist - Hot Sauce.mp3"
def test_below_threshold_filtered(self, tmp_path: Path):
# Un solo candidato con similarity ~ 1/5 = 0.2 → sotto default 0.5 → escluso
idx = self._fake_index(tmp_path, [
"Foo Bar Baz Qux Extra.mp3",
])
with patch.object(upgrader, "get_bitrate", return_value=320):
results = upgrader._find_candidates("Hot Sauce", idx) # solo "hot"/"sauce"
assert results == []
def test_exact_match_returned(self, tmp_path: Path):
idx = self._fake_index(tmp_path, [
"Hot Sauce Extended.mp3",
])
with patch.object(upgrader, "get_bitrate", return_value=320):
results = upgrader._find_candidates("Hot Sauce Extended", idx)
assert len(results) == 1
assert results[0][1] == 1.0 # perfect Jaccard
assert results[0][2] == 320
+84
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@@ -0,0 +1,84 @@
"""Test per core.youtube_search."""
from __future__ import annotations
import json
from unittest.mock import patch, MagicMock
import pytest
from core import youtube_search
def _mock_ytdlp_result(entries: list) -> MagicMock:
"""Mock subprocess.CompletedProcess con JSON stub."""
result = MagicMock()
result.returncode = 0
result.stdout = json.dumps({"entries": entries})
result.stderr = ""
return result
class TestSearchYoutube:
def test_parses_entries(self):
entries = [
{
"id": "abc123",
"url": "https://www.youtube.com/watch?v=abc123",
"title": "Kapuchon - Hot Sauce (Official Video)",
"uploader": "Kapuchon Official",
"duration": 336,
},
{
"id": "def456",
"url": "https://www.youtube.com/watch?v=def456",
"title": "Solomun @ Cocoricò 2024",
"uploader": "Cocoricò",
"duration": 3600,
},
]
with patch("core.youtube_search.find_ytdlp", return_value="/fake/yt-dlp"), \
patch("core.youtube_search.subprocess.run", return_value=_mock_ytdlp_result(entries)):
result = youtube_search.search_youtube("kapuchon hot sauce", limit=50)
assert len(result) == 2
assert result[0]["title"] == "Kapuchon - Hot Sauce (Official Video)"
assert result[0]["channel"] == "Kapuchon Official"
assert result[0]["duration_sec"] == 336
assert result[0]["url"] == "https://www.youtube.com/watch?v=abc123"
def test_empty_entries_returns_empty(self):
with patch("core.youtube_search.find_ytdlp", return_value="/fake/yt-dlp"), \
patch("core.youtube_search.subprocess.run", return_value=_mock_ytdlp_result([])):
result = youtube_search.search_youtube("no-match", limit=50)
assert result == []
def test_raises_when_ytdlp_missing(self):
with patch("core.youtube_search.find_ytdlp", return_value=None):
with pytest.raises(RuntimeError, match="yt-dlp"):
youtube_search.search_youtube("q", limit=50)
def test_command_uses_ytsearch_with_limit(self):
with patch("core.youtube_search.find_ytdlp", return_value="/fake/yt-dlp"), \
patch("core.youtube_search.subprocess.run", return_value=_mock_ytdlp_result([])) as mock_run:
youtube_search.search_youtube("solomun", limit=30)
args = mock_run.call_args.args[0]
assert args[0] == "/fake/yt-dlp"
search_arg = [a for a in args if a.startswith("ytsearch")]
assert search_arg == ["ytsearch30:solomun"]
def test_timeout_raises_runtime_error(self):
import subprocess as sp
with patch("core.youtube_search.find_ytdlp", return_value="/fake/yt-dlp"), \
patch("core.youtube_search.subprocess.run", side_effect=sp.TimeoutExpired("yt-dlp", 30)):
with pytest.raises(RuntimeError, match="[Tt]imeout"):
youtube_search.search_youtube("q", limit=50)
def test_nonzero_exit_raises(self):
bad = MagicMock()
bad.returncode = 1
bad.stdout = ""
bad.stderr = "some yt-dlp error"
with patch("core.youtube_search.find_ytdlp", return_value="/fake/yt-dlp"), \
patch("core.youtube_search.subprocess.run", return_value=bad):
with pytest.raises(RuntimeError, match="yt-dlp"):
youtube_search.search_youtube("q", limit=50)
+816 -21
View File
@@ -49,6 +49,16 @@
--text-2: #B3B3B3;
--text-3: #727272;
/* Varianti brand per uso come TESTO (foreground). In dark restano vibranti
come le base; in light diventano scure per contrasto AA su sfondo bianco. */
--green-text: var(--green);
--blue-text: var(--blue);
--purple-text: var(--purple);
--pink-text: var(--pink);
--amber-text: var(--amber);
--indigo-text: var(--indigo);
--rec-red-text: var(--rec-red);
--r-sm: 8px;
--r-md: 12px;
--r-lg: 14px;
@@ -84,6 +94,15 @@ html[data-theme="light"] {
--rec-red-dim: #FECACA;
--indigo-dim: #C7D2FE;
/* Varianti brand per testo: scurite per contrasto AA su fondo bianco */
--green-text: #0F7A38;
--blue-text: #1D6BD3;
--purple-text: #7E22CE;
--pink-text: #BE185D;
--amber-text: #B45309;
--indigo-text: #4338CA;
--rec-red-text: #B91C1C;
--shadow: 0 8px 24px rgba(15, 23, 42, 0.06);
--shadow-lg: 0 16px 40px rgba(15, 23, 42, 0.1);
@@ -132,6 +151,9 @@ button, input, select, textarea { font-family: inherit; font-size: inherit; }
flex-direction: column;
padding: 24px 12px;
border-right: 1px solid var(--border);
height: 100vh;
min-height: 0; /* consente ai flex children di rimpicciolirsi sotto il contenuto */
overflow: hidden;
}
.brand {
@@ -173,7 +195,28 @@ button, input, select, textarea { font-family: inherit; font-size: inherit; }
flex-direction: column;
gap: 2px;
flex: 1;
min-height: 0; /* per far funzionare overflow su flex child */
overflow-y: auto; /* scrolla se ci sono troppi tab e la finestra è corta */
overflow-x: hidden;
scrollbar-width: thin;
}
.nav::-webkit-scrollbar { width: 6px; }
.nav::-webkit-scrollbar-thumb {
background: var(--bg-input);
border-radius: 3px;
}
.nav::-webkit-scrollbar-thumb:hover { background: var(--bg-input-hover); }
.nav-section-label {
padding: 12px 14px 6px;
font-size: 10px;
font-weight: 800;
letter-spacing: 1.2px;
text-transform: uppercase;
color: var(--text-3);
user-select: none;
}
.nav-section-label:first-child { padding-top: 4px; }
.nav-item {
display: flex;
@@ -192,13 +235,13 @@ button, input, select, textarea { font-family: inherit; font-size: inherit; }
}
.nav-item:hover {
background: #1A1A1A;
background: var(--bg-card-2);
color: var(--text);
}
.nav-item.active {
background: #1F1F1F;
color: var(--green);
background: var(--bg-card-2);
color: var(--green-text);
}
.nav-icon {
@@ -214,7 +257,7 @@ button, input, select, textarea { font-family: inherit; font-size: inherit; }
}
.footer-by {
color: var(--green);
color: var(--green-text);
font-weight: 700;
font-size: 12px;
letter-spacing: 0.4px;
@@ -254,7 +297,7 @@ button, input, select, textarea { font-family: inherit; font-size: inherit; }
.quota-sep { color: var(--text-3); margin: 0 4px; font-weight: 400; }
.quota-plan {
font-size: 11px;
color: var(--green);
color: var(--green-text);
font-weight: 700;
letter-spacing: 0.5px;
text-transform: uppercase;
@@ -314,7 +357,9 @@ button, input, select, textarea { font-family: inherit; font-size: inherit; }
HERO
=============================== */
.hero {
position: relative;
position: sticky;
top: 0;
z-index: 5;
border-radius: var(--r-lg);
padding: 28px 32px;
margin-bottom: 24px;
@@ -469,7 +514,7 @@ button, input, select, textarea { font-family: inherit; font-size: inherit; }
.badge {
background: rgba(29, 185, 84, 0.15);
color: var(--green);
color: var(--green-text);
padding: 2px 8px;
border-radius: 10px;
font-size: 11px;
@@ -495,8 +540,8 @@ button, input, select, textarea { font-family: inherit; font-size: inherit; }
.input::placeholder { color: var(--text-3); }
.input:focus {
background: #333;
border-color: rgba(29, 185, 84, 0.4);
background: var(--bg-input-hover);
border-color: var(--green);
}
.input-sm { max-width: 200px; }
@@ -533,6 +578,87 @@ input[type="number"]::-webkit-inner-spin-button {
.path-display:empty,
.path-display.empty { color: var(--text-3); }
.ai-badge {
display: inline-flex;
align-items: center;
gap: 4px;
padding: 3px 10px;
border-radius: 999px;
font-size: 11px;
font-weight: 800;
letter-spacing: 0.5px;
text-transform: uppercase;
background: linear-gradient(135deg, var(--purple), var(--pink));
color: #fff;
box-shadow: 0 2px 6px rgba(168, 85, 247, 0.35);
white-space: nowrap;
cursor: default;
}
.ai-badge[hidden] { display: none !important; }
.ai-badge::before { content: "🤖"; }
.raw-frames-details {
margin-top: 8px;
padding: 12px;
background: var(--bg-card-2);
border-radius: var(--r-sm);
border: 1px solid var(--border);
}
.raw-frames-details summary {
cursor: pointer;
font-weight: 700;
font-size: 13px;
color: var(--text-2);
padding: 2px 0;
user-select: none;
}
.raw-frames-details summary:hover { color: var(--text); }
.raw-frames-details[open] summary { margin-bottom: 10px; color: var(--text); }
.raw-frames-table {
width: 100%;
border-collapse: collapse;
font-size: 12px;
font-variant-numeric: tabular-nums;
}
.raw-frames-table th,
.raw-frames-table td {
padding: 6px 8px;
border-bottom: 1px solid var(--divider);
text-align: left;
vertical-align: top;
}
.raw-frames-table th {
color: var(--text-3);
font-weight: 700;
text-transform: uppercase;
letter-spacing: 0.5px;
font-size: 10px;
}
.raw-frames-table td.raw-key {
font-family: ui-monospace, SF Mono, Menlo, monospace;
color: var(--indigo-text);
white-space: nowrap;
}
.raw-frames-table td.raw-preview {
word-break: break-word;
color: var(--text);
}
.raw-frames-table td.raw-size {
text-align: right;
color: var(--text-3);
white-space: nowrap;
}
.raw-frames-table .kind-binary {
display: inline-block;
padding: 1px 6px;
border-radius: 3px;
font-size: 10px;
font-weight: 700;
background: var(--amber-dim);
color: var(--amber-text);
text-transform: uppercase;
}
/* ===============================
BUTTONS
=============================== */
@@ -663,9 +789,10 @@ input[type="number"]::-webkit-inner-spin-button {
font-weight: 800;
}
.percent.green { color: var(--green); }
.percent.blue { color: var(--blue); }
.percent.green { color: var(--green-text); }
.percent.blue { color: var(--blue-text); }
.percent.pink { color: var(--pink-hover); }
.percent.purple { color: var(--purple-text); }
.progress {
width: 100%;
@@ -694,6 +821,10 @@ input[type="number"]::-webkit-inner-spin-button {
background: linear-gradient(90deg, var(--pink), var(--pink-hover));
}
.progress-fill.purple {
background: linear-gradient(90deg, var(--purple), var(--purple-hover));
}
/* ===============================
LOG BOX
=============================== */
@@ -711,10 +842,10 @@ input[type="number"]::-webkit-inner-spin-button {
line-height: 1.6;
}
.log .l-ok { color: var(--green); }
.log .l-ok { color: var(--green-text); }
.log .l-err { color: var(--red); }
.log .l-info { color: var(--blue); }
.log .l-warn { color: #FDCB6E; }
.log .l-info { color: var(--blue-text); }
.log .l-warn { color: var(--amber-text); }
.log .l-muted { color: var(--text-3); }
/* ===============================
@@ -774,7 +905,7 @@ input[type="number"]::-webkit-inner-spin-button {
.hint strong { color: var(--text); font-weight: 700; }
.hint code {
background: rgba(255, 255, 255, 0.08);
background: var(--bg-input);
padding: 1px 6px;
border-radius: 4px;
font-family: "SF Mono", Menlo, Consolas, monospace;
@@ -838,7 +969,7 @@ input[type="number"]::-webkit-inner-spin-button {
INFO ROW (Upgrade tab)
=============================== */
.info-row {
color: var(--green);
color: var(--green-text);
font-size: 13px;
font-weight: 700;
margin-bottom: 14px;
@@ -862,7 +993,7 @@ input[type="number"]::-webkit-inner-spin-button {
min-height: 18px;
}
.update-status.ok { color: var(--green); }
.update-status.ok { color: var(--green-text); }
.update-status.warn { color: #FDCB6E; }
.update-status.err { color: var(--red); }
@@ -893,7 +1024,7 @@ input[type="number"]::-webkit-inner-spin-button {
}
.save-status {
color: var(--green);
color: var(--green-text);
font-weight: 700;
font-size: 13px;
opacity: 0;
@@ -1003,7 +1134,7 @@ input[type="number"]::-webkit-inner-spin-button {
}
.toast.toast-error { border-color: var(--red); color: var(--red); }
.toast.toast-success { border-color: var(--green); color: var(--green); }
.toast.toast-success { border-color: var(--green); color: var(--green-text); }
/* ===============================
SCROLLBARS (WebKit)
@@ -1011,11 +1142,11 @@ input[type="number"]::-webkit-inner-spin-button {
::-webkit-scrollbar { width: 10px; height: 10px; }
::-webkit-scrollbar-track { background: transparent; }
::-webkit-scrollbar-thumb {
background: #404040;
background: var(--text-3);
border-radius: 5px;
border: 2px solid var(--bg);
}
::-webkit-scrollbar-thumb:hover { background: #606060; }
::-webkit-scrollbar-thumb:hover { background: var(--text-2); }
.log::-webkit-scrollbar-thumb { border-color: var(--bg-card-2); }
.main::-webkit-scrollbar-thumb { border-color: var(--bg); }
@@ -1550,3 +1681,667 @@ input[type="number"]::-webkit-inner-spin-button {
white-space: pre-wrap;
word-break: break-word;
}
/* ===============================
BEATPORT
=============================== */
.beatport-header {
display: flex;
flex-wrap: wrap;
gap: 10px;
align-items: center;
}
.beatport-header select.input {
min-width: 260px;
flex: 0 1 320px;
}
.hint-inline {
color: var(--text-3);
font-size: 12px;
margin-left: auto;
}
.beatport-status {
margin-top: 12px;
font-size: 13px;
color: var(--text-2);
min-height: 18px;
}
.beatport-status.loading { color: var(--text-3); font-style: italic; }
.beatport-status.error { color: var(--red); font-weight: 600; }
.beatport-status.ok { color: var(--green-text); font-weight: 600; }
.beatport-output-info {
margin-top: 6px;
font-size: 12px;
color: var(--text-3);
font-family: "SF Mono", Menlo, Consolas, monospace;
word-break: break-all;
}
.beatport-output-info.warn {
color: var(--amber-text);
font-family: inherit;
}
.beatport-table-card {
padding: 0;
overflow: hidden;
}
.beatport-table-wrap {
max-height: 460px;
overflow: auto;
}
.beatport-table {
width: 100%;
border-collapse: collapse;
font-size: 13px;
}
.beatport-table thead th {
position: sticky;
top: 0;
background: var(--bg-card-2);
color: var(--text-3);
font-weight: 700;
font-size: 11px;
letter-spacing: 0.6px;
text-transform: uppercase;
text-align: left;
padding: 10px 12px;
border-bottom: 1px solid var(--border);
z-index: 1;
}
.beatport-table tbody td {
padding: 8px 12px;
border-bottom: 1px solid var(--divider);
color: var(--text);
vertical-align: middle;
}
.beatport-table tbody tr:hover {
background: var(--bg-input);
}
.beatport-table tbody tr.already-downloaded td {
color: var(--text-3);
}
.beatport-table tbody tr.already-downloaded .col-state {
color: var(--green-text);
font-weight: 600;
}
.beatport-table .col-check { width: 36px; }
.beatport-table .col-cover { width: 52px; padding: 4px 8px; }
.beatport-table .col-cover img {
width: 40px;
height: 40px;
border-radius: 4px;
object-fit: cover;
display: block;
background: var(--bg-input);
}
.beatport-table .col-pos { width: 40px; color: var(--text-3); font-variant-numeric: tabular-nums; }
.beatport-table .col-dur { width: 70px; color: var(--text-2); font-variant-numeric: tabular-nums; text-align: right; }
.beatport-table .col-date { width: 100px; color: var(--text-2); font-variant-numeric: tabular-nums; font-size: 12px; white-space: nowrap; }
.beatport-table .col-state { width: 130px; font-size: 12px; }
.beatport-table thead th.sortable {
cursor: pointer;
user-select: none;
transition: color 0.15s ease;
}
.beatport-table thead th.sortable:hover { color: var(--text); }
.beatport-table thead th .sort-arrow {
font-size: 10px;
margin-left: 4px;
color: var(--indigo-text);
}
.beatport-table input[type="checkbox"] {
width: 16px;
height: 16px;
accent-color: var(--indigo, #6366F1);
cursor: pointer;
}
.beatport-toolbar {
display: flex;
align-items: center;
gap: 12px;
padding: 14px 20px;
border-top: 1px solid var(--divider);
background: var(--bg-card);
}
.beatport-toolbar .counter {
margin-left: 0;
margin-right: auto;
}
@media (max-width: 720px) {
.beatport-header { flex-direction: column; align-items: stretch; }
.hint-inline { margin-left: 0; }
.beatport-table .col-state { width: 110px; }
}
/* ===============================
UPGRADE — picker modal (match locale)
=============================== */
.modal-body.upgrade-picker-body {
/* Override del default .modal-body (mono + pre-wrap): qui è UI, non log */
font-family: inherit;
font-size: 13px;
color: var(--text);
white-space: normal;
user-select: none;
}
/* Modal picker: più largo dei modal standard + footer con wrap
per far entrare i 4 bottoni senza troncare */
#upgradePickerModal .modal {
min-width: 620px;
max-width: 780px;
}
#upgradePickerModal .modal-foot {
flex-wrap: wrap;
justify-content: flex-end;
}
.modal-sub {
font-size: 12px;
color: var(--text-2);
margin-bottom: 12px;
word-break: break-word;
}
.upgrade-picker-list {
display: flex;
flex-direction: column;
gap: 6px;
max-height: 380px;
overflow-y: auto;
}
.upgrade-picker-row {
display: flex;
align-items: flex-start;
gap: 10px;
padding: 10px 12px;
border: 1px solid var(--border);
border-radius: var(--r-md, 10px);
cursor: pointer;
transition: border-color 0.15s ease, background 0.15s ease;
background: var(--bg-input, transparent);
}
.upgrade-picker-row:hover { border-color: var(--text-2); }
.upgrade-picker-row.selected {
border-color: var(--blue, #3b82f6);
background: rgba(59, 130, 246, 0.08);
}
.upgrade-picker-row input[type="radio"] {
margin-top: 3px;
cursor: pointer;
}
.upgrade-picker-info {
flex: 1;
min-width: 0;
}
.upgrade-picker-play {
display: flex;
align-items: center;
flex-shrink: 0;
}
.upgrade-preview-btn {
width: 34px;
height: 34px;
border-radius: 50%;
border: 1px solid var(--border);
background: var(--bg-input, transparent);
color: var(--text);
font-size: 13px;
cursor: pointer;
display: inline-flex;
align-items: center;
justify-content: center;
padding: 0;
margin-left: 6px;
transition: background 0.15s ease, transform 0.1s ease;
}
.upgrade-preview-btn:hover { background: var(--bg-input-hover, rgba(255,255,255,0.05)); }
.upgrade-preview-btn.playing {
background: var(--green, #1DB954);
color: #000;
border-color: var(--green, #1DB954);
}
.upgrade-picker-title {
font-weight: 600;
color: var(--text);
word-break: break-word;
}
.upgrade-picker-meta {
font-size: 12px;
color: var(--text-2);
margin-top: 3px;
font-variant-numeric: tabular-nums;
}
.upgrade-picker-path {
font-size: 11px;
color: var(--text-3);
margin-top: 2px;
word-break: break-all;
font-family: "SF Mono", Menlo, Consolas, monospace;
}
/* ===============================
DEDUP tab (audio duplicati)
=============================== */
.dedup-summary {
font-size: 14px;
color: var(--text-2);
font-weight: 600;
}
.dedup-group-card {
padding: 14px 16px;
}
.dedup-group-header {
font-size: 13px;
color: var(--text-2);
margin-bottom: 10px;
padding-bottom: 8px;
border-bottom: 1px solid var(--border);
}
.dedup-group-header strong {
color: var(--text-1);
font-size: 14px;
}
.dedup-fp {
font-family: "SF Mono", Menlo, Consolas, monospace;
color: var(--text-3);
font-size: 11px;
}
.dedup-file-list {
display: flex;
flex-direction: column;
gap: 6px;
}
.dedup-file-row {
display: flex;
align-items: center;
gap: 12px;
padding: 8px 10px;
border-radius: 8px;
background: var(--bg-elev);
transition: background 0.15s ease;
}
.dedup-file-row:hover {
background: var(--bg-elev-hover, var(--bg-elev));
}
.dedup-file-check {
flex-shrink: 0;
width: 16px;
height: 16px;
cursor: pointer;
accent-color: var(--red);
}
.dedup-file-check:disabled {
cursor: not-allowed;
opacity: 0.5;
}
.dedup-file-info {
flex: 1;
min-width: 0;
}
.dedup-file-title {
font-size: 13px;
font-weight: 600;
color: var(--text-1);
overflow: hidden;
text-overflow: ellipsis;
white-space: nowrap;
}
.dedup-file-meta {
font-size: 11px;
color: var(--text-3);
margin-top: 2px;
font-variant-numeric: tabular-nums;
}
.dedup-file-path {
font-size: 10px;
color: var(--text-3);
margin-top: 2px;
font-family: "SF Mono", Menlo, Consolas, monospace;
word-break: break-all;
opacity: 0.6;
}
.dedup-file-play {
flex-shrink: 0;
display: flex;
align-items: center;
}
/* File "da tenere" (bitrate massimo del gruppo) — verde */
.dedup-keep {
background: var(--green-dim);
border-left: 3px solid var(--green);
}
.dedup-keep .dedup-file-title {
color: var(--green-text);
}
.dedup-keep-badge {
display: inline-block;
padding: 2px 8px;
border-radius: 6px;
background: var(--green);
color: white;
font-size: 10px;
font-weight: 800;
letter-spacing: 0.5px;
margin-right: 6px;
vertical-align: middle;
}
.dedup-footer-bar {
position: sticky;
bottom: 0;
z-index: 5;
display: flex;
justify-content: space-between;
align-items: center;
gap: 12px;
padding: 12px 16px;
margin-top: 12px;
border-radius: var(--r-md);
background: var(--bg-card);
box-shadow: 0 -4px 12px rgba(0, 0, 0, 0.15);
border: 1px solid var(--border);
}
/* Lista risultati Dedup con scroll interno: l'header (hero sticky) e il
footer restano visibili anche se ci sono centinaia di gruppi. */
.dedup-groups-scroll {
max-height: 55vh;
overflow-y: auto;
padding-right: 6px; /* spazio per la scrollbar sul bordo */
}
/* ===============================
CATALOGA tab
=============================== */
.catalog-summary {
font-size: 14px;
color: var(--text-2);
font-weight: 600;
}
/* Scroll container per la tabella (analogo a dedup-groups-scroll) */
.catalog-scroll {
max-height: 55vh;
overflow-y: auto;
overflow-x: auto;
padding-right: 6px;
border: 1px solid var(--border);
border-radius: var(--r-md);
background: var(--bg-card);
}
.catalog-table {
width: 100%;
border-collapse: separate;
border-spacing: 0;
font-size: 12px;
color: var(--text-2);
}
.catalog-table thead th {
position: sticky;
top: 0;
z-index: 2;
background: var(--bg-card-2);
color: var(--text-1);
font-weight: 700;
padding: 10px 8px;
text-align: left;
font-size: 11px;
letter-spacing: 0.3px;
text-transform: uppercase;
border-bottom: 1px solid var(--border);
white-space: nowrap;
}
.catalog-table tbody td {
padding: 8px;
border-bottom: 1px solid var(--border);
vertical-align: middle;
overflow: hidden;
text-overflow: ellipsis;
white-space: nowrap;
max-width: 260px;
}
.catalog-table tbody tr:hover {
background: var(--bg-elev);
}
/* Righe senza match AcoustID: sfondo rosa tenue */
.catalog-table tbody tr.catalog-row-unmatched {
background: rgba(236, 72, 153, 0.06);
}
.catalog-table tbody tr.catalog-row-unmatched:hover {
background: rgba(236, 72, 153, 0.12);
}
.catalog-col-check { width: 30px; text-align: center; }
.catalog-col-year { width: 60px; text-align: center; font-variant-numeric: tabular-nums; }
.catalog-col-status { width: 110px; }
.catalog-file-cell {
display: block;
overflow: hidden;
text-overflow: ellipsis;
white-space: nowrap;
color: var(--text-1);
font-weight: 500;
}
.catalog-check {
width: 16px;
height: 16px;
cursor: pointer;
accent-color: var(--purple);
}
.catalog-status-badge {
display: inline-block;
padding: 2px 8px;
border-radius: 10px;
font-size: 10px;
font-weight: 700;
letter-spacing: 0.3px;
text-transform: uppercase;
}
.catalog-status-badge.ok {
background: var(--purple-dim);
color: var(--purple-text);
}
.catalog-status-badge.warn {
background: var(--amber-dim, rgba(245, 158, 11, 0.15));
color: var(--amber-text);
}
.catalog-status-badge.err {
background: rgba(220, 38, 38, 0.15);
color: var(--red);
}
.catalog-status-badge.busy {
background: var(--bg-input);
color: var(--text-3);
}
.catalog-footer-bar {
position: sticky;
bottom: 0;
z-index: 5;
display: flex;
justify-content: space-between;
align-items: center;
gap: 12px;
padding: 12px 16px;
margin-top: 12px;
border-radius: var(--r-md);
background: var(--bg-card);
box-shadow: 0 -4px 12px rgba(0, 0, 0, 0.15);
border: 1px solid var(--border);
}
/* ==================================================================
* Charts tab (iTunes / Spotify / M2O / Last.fm)
* Riusa in gran parte le classi catalog-* per stile e comportamento.
* ================================================================== */
.charts-source-row {
display: flex;
gap: 18px;
flex-wrap: wrap;
margin-bottom: 14px;
}
.charts-radio {
display: inline-flex;
gap: 8px;
align-items: center;
font-size: 14px;
color: var(--text-1);
cursor: pointer;
padding: 6px 10px;
border-radius: 999px;
background: var(--bg-input);
border: 1px solid var(--border);
transition: background 0.15s ease, border-color 0.15s ease;
}
.charts-radio:hover {
background: var(--bg-elev);
}
.charts-radio input[type="radio"] {
accent-color: var(--indigo-hover, #6366F1);
cursor: pointer;
}
.charts-radio input[type="radio"]:checked ~ span {
color: var(--text-1);
font-weight: 600;
}
.charts-filters {
display: flex;
flex-wrap: wrap;
gap: 14px;
align-items: flex-start;
margin-top: 8px;
}
.charts-filters[hidden] { display: none !important; }
.charts-actions-row {
display: flex;
justify-content: space-between;
align-items: center;
gap: 12px;
margin-bottom: 10px;
flex-wrap: wrap;
}
.charts-actions-btns {
display: flex;
gap: 8px;
}
.charts-scroll {
max-height: 55vh;
overflow-y: auto;
overflow-x: auto;
padding-right: 6px;
border: 1px solid var(--border);
border-radius: var(--r-md);
background: var(--bg-card);
}
.charts-table {
width: 100%;
border-collapse: separate;
border-spacing: 0;
font-size: 12px;
color: var(--text-2);
}
.charts-table thead th {
position: sticky;
top: 0;
z-index: 2;
background: var(--bg-card-2);
color: var(--text-1);
font-weight: 700;
padding: 10px 8px;
text-align: left;
font-size: 11px;
letter-spacing: 0.3px;
text-transform: uppercase;
border-bottom: 1px solid var(--border);
white-space: nowrap;
}
.charts-table tbody td {
padding: 8px;
border-bottom: 1px solid var(--border);
vertical-align: middle;
overflow: hidden;
text-overflow: ellipsis;
white-space: nowrap;
max-width: 260px;
}
.charts-table tbody tr:hover {
background: var(--bg-elev);
}
.charts-col-check { width: 30px; text-align: center; }
.charts-col-rank { width: 42px; text-align: center; font-variant-numeric: tabular-nums; color: var(--text-3); font-weight: 700; }
.charts-col-pop { width: 110px; text-align: right; font-variant-numeric: tabular-nums; color: var(--text-3); }
.charts-check {
width: 16px;
height: 16px;
cursor: pointer;
accent-color: var(--indigo-hover, #6366F1);
}
.charts-footer-bar {
position: sticky;
bottom: 0;
z-index: 5;
display: flex;
justify-content: space-between;
align-items: center;
gap: 12px;
padding: 12px 16px;
margin-top: 12px;
border-radius: var(--r-md);
background: var(--bg-card);
box-shadow: 0 -4px 12px rgba(0, 0, 0, 0.15);
border: 1px solid var(--border);
}
+906 -3
View File
@@ -21,6 +21,7 @@
<div class="divider"></div>
<nav class="nav">
<div class="nav-section-label">Scarica</div>
<button class="nav-item active" data-view="download" data-feature="audio">
<span class="nav-icon">⬇</span>
<span>Scarica</span>
@@ -29,18 +30,60 @@
<span class="nav-icon">🎬</span>
<span>Video</span>
</button>
<button class="nav-item" data-view="upgrade" data-feature="upgrade">
<span class="nav-icon">⚡</span>
<span>Upgrade</span>
<button class="nav-item" data-view="spotify" data-feature="audio">
<span class="nav-icon">🟢</span>
<span>Spotify</span>
</button>
<button class="nav-item" data-view="youtube" data-feature="audio">
<span class="nav-icon">▶</span>
<span>YouTube</span>
</button>
<button class="nav-item" data-view="beatport" data-feature="audio">
<span class="nav-icon">🎧</span>
<span>Beatport</span>
</button>
<button class="nav-item" data-view="traxsource" data-feature="audio">
<span class="nav-icon">▲</span>
<span>Traxsource</span>
</button>
<button class="nav-item" data-view="charts" data-feature="audio">
<span class="nav-icon">📊</span>
<span>Charts</span>
</button>
<div class="nav-section-label">Organizza</div>
<button class="nav-item" data-view="dedup" data-feature="audio">
<span class="nav-icon">🗑</span>
<span>Dedup</span>
</button>
<button class="nav-item" data-view="catalog" data-feature="audio">
<span class="nav-icon">📅</span>
<span>Cataloga</span>
</button>
<button class="nav-item" data-view="flatten" data-feature="audio">
<span class="nav-icon">📤</span>
<span>Appiattisci</span>
</button>
<button class="nav-item" data-view="convert" data-feature="audio">
<span class="nav-icon">🔄</span>
<span>Converti</span>
</button>
<button class="nav-item" data-view="meta" data-feature="metadata">
<span class="nav-icon">🏷</span>
<span>Metadati</span>
</button>
<button class="nav-item" data-view="upgrade" data-feature="upgrade">
<span class="nav-icon">⚡</span>
<span>Upgrade</span>
</button>
<div class="nav-section-label">Altro</div>
<button class="nav-item" data-view="record" data-feature="record">
<span class="nav-icon">●</span>
<span>Registra</span>
</button>
<div class="nav-section-label">Sistema</div>
<button class="nav-item" data-view="settings">
<span class="nav-icon">⚙</span>
<span>Impostazioni</span>
@@ -252,6 +295,23 @@
<label class="field-label">Soglia HQ (kbps)</label>
<input type="number" id="upThreshold" class="input pill input-sm" value="310" />
</div>
<div class="field">
<label class="field-label">Cartella archivio (opzionale)</label>
<div class="row">
<div class="path-display empty" id="upArchivePathDisplay">Nessuna cartella</div>
<button class="btn btn-ghost pill btn-sm" id="upArchiveBrowseBtn">📂 Sfoglia</button>
<button class="btn btn-ghost pill btn-sm" id="upArchiveClearBtn" hidden>Rimuovi</button>
</div>
<label style="display:flex;gap:6px;align-items:center;margin-top:8px;font-size:13px;color:var(--text-2);">
<input type="checkbox" id="upArchiveAutoPick"/>
<span>Scelta automatica se ci sono più match (usa quello a bitrate più alto)</span>
</label>
<div class="hint">
<span class="hint-ico">ⓘ</span>
<div>Se selezionata, l'app cerca versioni HQ del brano nella tua libreria locale prima di scaricare da YouTube. In caso di match multipli scegli tu quale usare — oppure attiva "Scelta automatica" per non fermarti.</div>
</div>
</div>
</div>
<div class="card actions">
@@ -384,6 +444,7 @@
<div class="row">
<button class="btn btn-amber pill" id="metaPickBtn">📂 Apri file audio</button>
<div class="path-display" id="metaPathDisplay">Nessun file selezionato</div>
<span id="metaAiBadge" class="ai-badge" hidden title="Brano generato con AI"></span>
</div>
<div class="meta-info" id="metaInfo" hidden></div>
</div>
@@ -432,6 +493,42 @@
<label class="field-label">Commento</label>
<textarea id="metaComment" class="input textarea" rows="3"></textarea>
</div>
<div class="field full">
<label class="field-label">URL sorgente (WOAS)</label>
<input type="text" id="metaSourceUrl" class="input pill" placeholder="https://...">
<div class="cover-hint">Link alla pagina d'origine del brano (es. Suno, YouTube, SoundCloud). Sopravvive alle copie del file.</div>
</div>
<div class="field full">
<label class="field-label">Testo / Prompt (USLT)</label>
<textarea id="metaLyrics" class="input textarea" rows="8" placeholder="Lyrics del brano o prompt AI utilizzato..."></textarea>
<div class="cover-hint">Testo o prompt strutturato. Suno lo compila automaticamente al momento della generazione.</div>
</div>
<details class="field full raw-frames-details">
<summary>Metadati avanzati (tutti i frame ID3 grezzi)</summary>
<table class="raw-frames-table" id="metaRawFrames">
<thead>
<tr>
<th style="width:32px;"><input type="checkbox" id="metaRawSelectAll" title="Seleziona tutti"></th>
<th>Frame</th>
<th>Tipo</th>
<th>Contenuto</th>
<th style="text-align:right;">Bytes</th>
</tr>
</thead>
<tbody></tbody>
</table>
<div class="row" style="margin-top:10px;justify-content:space-between;align-items:center;">
<span id="metaRawSelectedCount" style="font-size:12px;color:var(--text-3);">0 selezionati</span>
<button id="metaRawRemoveBtn" class="btn btn-danger pill btn-sm" disabled>
🗑 Rimuovi selezionati
</button>
</div>
<div class="cover-hint" style="margin-top:8px;">
I frame standard (TIT2 titolo, TPE1 artista, TALB album, APIC cover…) si gestiscono con i campi sopra.
Qui rimuovi frame custom come TXXX, GEOB (C2PA), USLT (lyrics) o COMM extra.
</div>
</details>
<div class="field full" id="metaWhereFromField" hidden>
<label class="field-label">
Origine (macOS · kMDItemWhereFroms)
@@ -522,6 +619,24 @@
</div>
</div>
<div class="field">
<label class="field-label">Cookies da browser (bypass 403 YouTube)</label>
<div class="row">
<select id="cookiesBrowserSelect" class="input pill" style="max-width:220px;">
<option value="">Nessuno</option>
<option value="chrome">Chrome</option>
<option value="safari">Safari</option>
<option value="firefox">Firefox</option>
<option value="edge">Edge</option>
<option value="brave">Brave</option>
</select>
</div>
<div class="hint">
<span class="hint-ico">ⓘ</span>
<div>Alcuni video YouTube (musica protetta, region-lock, età) danno HTTP 403 senza cookies autenticati. Selezionando un browser, l'app legge i cookies dal tuo profilo — richiede che tu sia loggato su YouTube in quel browser. Se hai anche cookies.txt sopra, ha priorità il file.</div>
</div>
</div>
<div class="field">
<label class="field-label">Cartella output predefinita</label>
<div class="row">
@@ -531,6 +646,24 @@
</div>
</div>
<h2 class="section-label">Log</h2>
<div class="card">
<div class="field">
<label class="field-label">Cartella dei log</label>
<div class="row">
<div class="path-display" id="logPathDisplay" style="flex:1;">—</div>
<button class="btn btn-ghost pill btn-sm" id="openLogFolderBtn">📁 Apri cartella</button>
</div>
<div class="hint">
<span class="hint-ico">ⓘ</span>
<div>
L'app scrive un log giornaliero (<code>app.log</code>) con rotazione automatica (7 giorni).
Utile per debug: incluide stdout, stderr, log delle tab e traceback.
</div>
</div>
</div>
</div>
<h2 class="section-label">Aspetto</h2>
<div class="card">
<div class="field">
@@ -849,6 +982,733 @@
</div>
</section>
<!-- ===== VIEW: BEATPORT ===== -->
<section class="view" id="view-beatport">
<header class="hero hero-indigo">
<div class="hero-content">
<div class="hero-eyebrow indigo">BEATPORT CHARTS</div>
<h1 class="hero-title">Top 100 per genere</h1>
<p class="hero-subtitle">Sfoglia la Top 100 di Beatport, seleziona i brani e scaricali via YouTube</p>
</div>
<div class="hero-deco">🎧</div>
</header>
<h2 class="section-label">Genere</h2>
<div class="card">
<div class="beatport-header">
<select id="beatport-genre" class="input pill"></select>
<button class="btn btn-primary pill" id="beatport-load-btn">
<span class="ico">↓</span> Carica Top 100
</button>
<span class="hint-inline">Shift+click per bypassare la cache</span>
</div>
<div id="beatport-status" class="beatport-status"></div>
<div id="beatport-output-info" class="beatport-output-info"></div>
</div>
<div class="card beatport-table-card">
<div class="beatport-table-wrap">
<table id="beatport-table" class="beatport-table" hidden>
<thead>
<tr>
<th class="col-check"><input type="checkbox" id="beatport-select-all" /></th>
<th class="col-cover"></th>
<th class="col-pos sortable" data-sort="position">#</th>
<th class="sortable" data-sort="artists">Artista</th>
<th class="sortable" data-sort="title">Titolo (Mix)</th>
<th class="col-dur sortable" data-sort="duration_sec">Durata</th>
<th class="col-date sortable" data-sort="release_date">Data</th>
<th class="col-state">Stato</th>
</tr>
</thead>
<tbody></tbody>
</table>
</div>
<div class="beatport-toolbar" id="beatport-toolbar" hidden>
<span class="counter" id="beatport-selected-count">0/0 selezionati</span>
<button class="btn btn-primary pill" id="beatport-download-btn" disabled>
<span class="ico">▶</span> Scarica selezionati
</button>
<button class="btn btn-danger pill" id="beatport-stop-btn" hidden>
<span class="ico">◼</span> Interrompi
</button>
</div>
</div>
<h2 class="section-label">Log</h2>
<div class="card log-card">
<div class="log" id="beatport-log"></div>
</div>
</section>
<!-- ===== VIEW: TRAXSOURCE ===== -->
<section class="view" id="view-traxsource">
<header class="hero hero-purple">
<div class="hero-content">
<div class="hero-eyebrow purple">TRAXSOURCE CHARTS</div>
<h1 class="hero-title">Top 100 Traxsource per genere</h1>
<p class="hero-subtitle">La classifica mensile ufficiale. Scarica in un click con tag ID3 completi (label, cover art, genere).</p>
</div>
<div class="hero-deco">▲</div>
</header>
<h2 class="section-label">Genere</h2>
<div class="card">
<div class="beatport-header">
<select id="traxsource-genre" class="input pill"></select>
<button class="btn btn-primary pill" id="traxsource-load-btn">
<span class="ico">↓</span> Carica Top 100
</button>
<span class="hint-inline">Shift+click per bypassare la cache</span>
</div>
<div id="traxsource-status" class="beatport-status"></div>
<div id="traxsource-output-info" class="beatport-output-info"></div>
</div>
<div class="card beatport-table-card">
<div class="beatport-table-wrap">
<table id="traxsource-table" class="beatport-table" hidden>
<thead>
<tr>
<th class="col-check"><input type="checkbox" id="traxsource-select-all" /></th>
<th class="col-cover"></th>
<th class="col-pos sortable" data-sort="position">#</th>
<th class="sortable" data-sort="artists">Artista</th>
<th class="sortable" data-sort="title">Titolo (Mix)</th>
<th class="sortable" data-sort="label">Label</th>
<th class="col-state">Stato</th>
</tr>
</thead>
<tbody></tbody>
</table>
</div>
<div class="beatport-toolbar" id="traxsource-toolbar" hidden>
<span class="counter" id="traxsource-selected-count">0/0 selezionati</span>
<button class="btn btn-primary pill" id="traxsource-download-btn" disabled>
<span class="ico">▶</span> Scarica selezionati
</button>
<button class="btn btn-danger pill" id="traxsource-stop-btn" hidden>
<span class="ico">◼</span> Interrompi
</button>
</div>
</div>
<h2 class="section-label">Log</h2>
<div class="card log-card">
<div class="log" id="traxsource-log"></div>
</div>
</section>
<!-- ===== VIEW: SPOTIFY SEARCH ===== -->
<section class="view" id="view-spotify">
<header class="hero hero-indigo">
<div class="hero-content">
<div class="hero-eyebrow indigo">RICERCA SPOTIFY</div>
<h1 class="hero-title">Cerca brani su Spotify</h1>
<p class="hero-subtitle">Digita un artista, un titolo, o entrambi. Attiva "Solo artista" per scaricare tutta la discografia.</p>
</div>
<div class="hero-deco">🟢</div>
</header>
<h2 class="section-label">Ricerca</h2>
<div class="card">
<div class="beatport-header">
<input type="text" id="spotify-query" class="input pill" placeholder="Es: Solomun, Hot Sauce, Kapuchon Hot Sauce…" style="flex:1; min-width:260px;" />
<label style="display:flex; gap:6px; align-items:center; color:var(--text-2); font-size:13px;">
<input type="checkbox" id="spotify-artist-mode" />
<span>Solo artista (discografia)</span>
</label>
<button class="btn btn-primary pill" id="spotify-search-btn">
<span class="ico">🔎</span> Cerca
</button>
</div>
<div id="spotify-status" class="beatport-status"></div>
<div id="spotify-output-info" class="beatport-output-info"></div>
</div>
<div class="card beatport-table-card" id="spotify-table-wrap" hidden>
<div class="beatport-table-wrap">
<table class="beatport-table" id="spotify-table">
<thead>
<tr>
<th class="col-check"><input type="checkbox" id="spotify-select-all" checked /></th>
<th class="col-cover"></th>
<th class="col-pos sortable" data-sort="position">#</th>
<th class="sortable" data-sort="artists">Artista</th>
<th class="sortable" data-sort="name">Titolo</th>
<th class="sortable" data-sort="album">Album</th>
<th class="col-dur sortable" data-sort="duration_sec">Durata</th>
<th class="col-date sortable" data-sort="release_date">Data</th>
<th class="col-state"></th>
</tr>
</thead>
<tbody id="spotify-tbody"></tbody>
</table>
</div>
<div class="beatport-toolbar" id="spotify-toolbar">
<span class="counter" id="spotify-selected-count">0/0 selezionati</span>
<button class="btn btn-primary pill" id="spotify-download-btn" disabled>
<span class="ico">▶</span> Scarica selezionati
</button>
<button class="btn btn-danger pill" id="spotify-stop-btn" hidden>
<span class="ico">◼</span> Interrompi
</button>
</div>
</div>
<h2 class="section-label">Log</h2>
<div class="card log-card">
<div class="log" id="spotify-log"></div>
</div>
</section>
<!-- ===== VIEW: YOUTUBE SEARCH ===== -->
<section class="view" id="view-youtube">
<header class="hero hero-indigo">
<div class="hero-content">
<div class="hero-eyebrow indigo">RICERCA YOUTUBE</div>
<h1 class="hero-title">Cerca video su YouTube</h1>
<p class="hero-subtitle">Perfetto per mix DJ, unreleased, bootleg e brani non presenti su Spotify.</p>
</div>
<div class="hero-deco">▶</div>
</header>
<h2 class="section-label">Ricerca</h2>
<div class="card">
<div class="beatport-header">
<input type="text" id="youtube-query" class="input pill" placeholder="Es: Solomun Cocoricò 2024, Kapuchon Hot Sauce remix…" style="flex:1; min-width:260px;" />
<button class="btn btn-primary pill" id="youtube-search-btn">
<span class="ico">🔎</span> Cerca
</button>
</div>
<div id="youtube-status" class="beatport-status"></div>
<div id="youtube-output-info" class="beatport-output-info"></div>
</div>
<div class="card beatport-table-card" id="youtube-table-wrap" hidden>
<div class="beatport-table-wrap">
<table class="beatport-table" id="youtube-table">
<thead>
<tr>
<th class="col-check"><input type="checkbox" id="youtube-select-all" checked /></th>
<th class="col-cover"></th>
<th class="col-pos sortable" data-sort="position">#</th>
<th class="sortable" data-sort="title">Titolo video</th>
<th class="sortable" data-sort="channel">Canale</th>
<th class="col-dur sortable" data-sort="duration_sec">Durata</th>
<th class="col-date sortable" data-sort="release_date">Data</th>
<th class="col-state"></th>
</tr>
</thead>
<tbody id="youtube-tbody"></tbody>
</table>
</div>
<div class="beatport-toolbar" id="youtube-toolbar">
<span class="counter" id="youtube-selected-count">0/0 selezionati</span>
<button class="btn btn-primary pill" id="youtube-download-btn" disabled>
<span class="ico">▶</span> Scarica selezionati
</button>
<button class="btn btn-danger pill" id="youtube-stop-btn" hidden>
<span class="ico">◼</span> Interrompi
</button>
</div>
</div>
<h2 class="section-label">Log</h2>
<div class="card log-card">
<div class="log" id="youtube-log"></div>
</div>
</section>
<!-- ===== VIEW: CONVERTI (WAV -> MP3) ===== -->
<section class="view" id="view-convert">
<header class="hero hero-purple">
<div class="hero-content">
<div class="hero-eyebrow purple">WAV → MP3</div>
<h1 class="hero-title">Converti file WAV in MP3</h1>
<p class="hero-subtitle">Bitrate configurabile, CBR o VBR, output accanto al file o in cartella custom.</p>
</div>
<div class="hero-deco">🔄</div>
</header>
<h2 class="section-label">Sorgente</h2>
<div class="card">
<div class="beatport-header">
<button id="convert-pick-files" class="btn btn-primary pill">📄 Scegli file .wav</button>
<button id="convert-pick-folder" class="btn btn-ghost pill">📁 Scegli cartella</button>
<button id="convert-clear" class="btn btn-ghost pill">Svuota</button>
</div>
<div class="beatport-header" style="margin-top:12px;gap:16px;">
<label style="display:flex;gap:6px;align-items:center;color:var(--text-2);font-size:13px;">
Bitrate:
<select id="convert-bitrate" class="input pill input-sm">
<option value="128">128 kbps</option>
<option value="192">192 kbps</option>
<option value="256">256 kbps</option>
<option value="320" selected>320 kbps</option>
</select>
</label>
<label style="display:flex;gap:6px;align-items:center;color:var(--text-2);font-size:13px;">
<input type="checkbox" id="convert-vbr" />
<span>VBR (qualità variabile)</span>
</label>
</div>
<div class="beatport-header" style="margin-top:12px;gap:12px;">
<label style="display:flex;gap:6px;align-items:center;color:var(--text-2);font-size:13px;">
<input type="radio" name="convert-out" id="convert-out-same" checked />
<span>Accanto al file originale</span>
</label>
<label style="display:flex;gap:6px;align-items:center;color:var(--text-2);font-size:13px;">
<input type="radio" name="convert-out" id="convert-out-custom" />
<span>Cartella custom:</span>
</label>
<button id="convert-out-browse" class="btn btn-ghost pill btn-sm" disabled>Sfoglia…</button>
<span id="convert-out-path" class="beatport-output-info" style="margin:0;"></span>
</div>
<div id="convert-status" class="beatport-status"></div>
</div>
<div class="card beatport-table-card" id="convert-table-wrap" hidden>
<div class="beatport-table-wrap">
<table class="beatport-table" id="convert-table">
<thead>
<tr>
<th class="col-check"><input type="checkbox" id="convert-select-all" checked /></th>
<th class="col-pos">#</th>
<th>File</th>
<th class="col-state">Stato</th>
</tr>
</thead>
<tbody id="convert-tbody"></tbody>
</table>
</div>
<div class="beatport-toolbar" id="convert-toolbar">
<span class="counter" id="convert-selected-count">0/0 selezionati</span>
<button id="convert-run-btn" class="btn btn-primary pill" disabled>
<span class="ico">▶</span> Converti selezionati
</button>
<button id="convert-stop-btn" class="btn btn-danger pill" hidden>
<span class="ico">◼</span> Interrompi
</button>
</div>
</div>
<h2 class="section-label">Log</h2>
<div class="card log-card">
<div class="log" id="convert-log"></div>
</div>
</section>
<!-- ===== VIEW: DEDUP (audio duplicati via Chromaprint) ===== -->
<section class="view" id="view-dedup">
<header class="hero hero-red">
<div class="hero-content">
<div class="hero-eyebrow red">DEDUP AUDIO</div>
<h1 class="hero-title">Trova e rimuovi duplicati audio</h1>
<p class="hero-subtitle">Audio fingerprinting via Chromaprint: riconosce brani identici indipendentemente dal bitrate, dal formato o dai tag.</p>
</div>
<div class="hero-deco">🗑</div>
</header>
<h2 class="section-label">Cartella</h2>
<div class="card">
<div class="beatport-header">
<button id="dedup-pick-folder" class="btn btn-primary pill">📁 Scegli cartella</button>
<button id="dedup-start-btn" class="btn btn-primary pill" disabled>
<span class="ico">▶</span> Scansiona
</button>
<button id="dedup-stop-btn" class="btn btn-danger pill" hidden>
<span class="ico">◼</span> Interrompi
</button>
</div>
<div class="beatport-header" style="margin-top:12px;gap:16px;">
<span id="dedup-path-display" class="beatport-output-info" style="margin:0;">Nessuna cartella selezionata</span>
</div>
<div class="beatport-header" style="margin-top:12px;gap:16px;">
<label style="display:flex;gap:6px;align-items:center;color:var(--text-2);font-size:13px;">
<input type="checkbox" id="dedup-recursive" checked />
<span>Ricerca ricorsiva (include sottocartelle)</span>
</label>
</div>
<div class="beatport-header" style="margin-top:12px;gap:16px;">
<label style="display:flex;gap:8px;align-items:center;color:var(--text-2);font-size:13px;">
<span>Metodo:</span>
<select id="dedup-method" class="input" style="padding:4px 8px;font-size:13px;">
<option value="fingerprint">Audio fingerprint (preciso, lento)</option>
<option value="filename">Nome file (veloce, meno preciso)</option>
</select>
</label>
</div>
<div id="dedup-status" class="beatport-status"></div>
</div>
<h2 class="section-label">Progresso</h2>
<div class="card">
<div class="progress">
<div class="progress-bar"><div id="dedupProgressFill" class="progress-fill pink"></div></div>
<div class="progress-meta">
<span id="dedupPercent" class="percent pink">0%</span>
<span id="dedupCounter">In attesa</span>
</div>
</div>
</div>
<h2 class="section-label">Risultati</h2>
<div class="card" id="dedup-summary-card" hidden>
<div class="dedup-summary" id="dedup-summary-line"></div>
</div>
<div id="dedup-groups-wrap" class="dedup-groups-scroll"></div>
<div class="dedup-footer-bar" id="dedup-footer-bar" hidden>
<span class="counter" id="dedup-selected-count">0 file da cancellare</span>
<button id="dedup-select-suggested-btn" class="btn btn-ghost pill">
✓ Seleziona tutti i consigliati
</button>
<button id="dedup-trash-btn" class="btn btn-danger pill" disabled>
<span class="ico">🗑</span> Sposta in cestino
</button>
</div>
<h2 class="section-label">Log</h2>
<div class="card log-card">
<div class="log" id="dedup-log"></div>
</div>
</section>
<!-- ===== VIEW: CATALOGA (AcoustID -> <Anno>/<Genere>/) ===== -->
<section class="view" id="view-catalog">
<header class="hero hero-purple">
<div class="hero-content">
<div class="hero-eyebrow purple">CATALOGA</div>
<h1 class="hero-title">Organizza per anno e genere</h1>
<p class="hero-subtitle">Identifica ogni brano via audio fingerprint (Chromaprint + AcoustID) e sposta i file in <code>&lt;Anno&gt;/&lt;Genere&gt;/</code>.</p>
</div>
<div class="hero-deco">📅</div>
</header>
<h2 class="section-label">Sorgente</h2>
<div class="card">
<div class="beatport-header">
<button id="catalog-pick-source" class="btn btn-primary pill">📁 Cartella input</button>
<button id="catalog-start-btn" class="btn btn-primary pill" disabled>
<span class="ico">▶</span> Scansiona
</button>
<button id="catalog-stop-btn" class="btn btn-danger pill" hidden>
<span class="ico">◼</span> Interrompi
</button>
</div>
<div class="beatport-header" style="margin-top:12px;gap:16px;">
<span id="catalog-source-display" class="beatport-output-info" style="margin:0;">Nessuna cartella selezionata</span>
</div>
<div class="beatport-header" style="margin-top:12px;gap:16px;">
<label style="display:flex;gap:6px;align-items:center;color:var(--text-2);font-size:13px;">
<input type="checkbox" id="catalog-recursive" checked />
<span>Ricerca ricorsiva (include sottocartelle)</span>
</label>
</div>
</div>
<h2 class="section-label">Destinazione</h2>
<div class="card">
<div class="beatport-header">
<button id="catalog-pick-target" class="btn btn-ghost pill">📁 Cartella destinazione</button>
<button id="catalog-clear-target" class="btn btn-ghost pill btn-sm">Usa la stessa della sorgente</button>
</div>
<div class="beatport-header" style="margin-top:12px;gap:16px;">
<span id="catalog-target-display" class="beatport-output-info" style="margin:0;">Uguale alla sorgente (in-place)</span>
</div>
<div class="beatport-header" style="margin-top:12px;gap:12px;">
<label style="display:flex;gap:8px;align-items:center;color:var(--text-2);font-size:13px;">
<span>Struttura cartelle:</span>
<select id="catalog-layout" class="input" style="padding:4px 8px;font-size:13px;">
<option value="year_genre">&lt;Anno&gt;/&lt;Genere&gt;/</option>
<option value="genre_year">&lt;Genere&gt;/&lt;Anno&gt;/</option>
</select>
</label>
</div>
<div class="hint" style="margin-top:10px;">
<span class="hint-ico">ⓘ</span>
<div>
Se lasci vuota la destinazione i file vengono organizzati <strong>in-place</strong> nella cartella sorgente.
Le sottocartelle vengono create automaticamente in base allo schema scelto.
File senza match finiscono in <code>Unknown Year</code> / <code>Unknown Genre</code>.
</div>
</div>
<div id="catalog-status" class="beatport-status"></div>
</div>
<h2 class="section-label">Progresso</h2>
<div class="card">
<div class="progress">
<div class="progress-bar"><div id="catalogProgressFill" class="progress-fill purple"></div></div>
<div class="progress-meta">
<span id="catalogPercent" class="percent purple">0%</span>
<span id="catalogCounter">In attesa</span>
</div>
</div>
</div>
<h2 class="section-label">Risultati</h2>
<div class="card" id="catalog-summary-card" hidden>
<div class="catalog-summary" id="catalog-summary-line"></div>
</div>
<div id="catalog-table-wrap" class="catalog-scroll" hidden>
<table class="catalog-table">
<thead>
<tr>
<th class="catalog-col-check">
<input type="checkbox" id="catalog-select-all" title="Seleziona/deseleziona tutti"/>
</th>
<th class="catalog-col-file">File</th>
<th class="catalog-col-artist">Artista</th>
<th class="catalog-col-title">Titolo</th>
<th class="catalog-col-year">Anno</th>
<th class="catalog-col-genre">Genere</th>
<th class="catalog-col-status">Stato</th>
</tr>
</thead>
<tbody id="catalog-table-body"></tbody>
</table>
</div>
<div class="catalog-footer-bar" id="catalog-footer-bar" hidden>
<span class="counter" id="catalog-selected-count">0 file selezionati</span>
<button id="catalog-move-btn" class="btn btn-danger pill" disabled>
<span class="ico">📦</span> Sposta selezionati
</button>
</div>
<h2 class="section-label">Log</h2>
<div class="card log-card">
<div class="log" id="catalog-log"></div>
</div>
</section>
<!-- ===== VIEW: FLATTEN ===== -->
<section class="view" id="view-flatten">
<header class="hero hero-blue">
<div class="hero-content">
<div class="hero-eyebrow blue">APPIATTISCI</div>
<h1 class="hero-title">Sposta tutti i brani nella cartella padre</h1>
<p class="hero-subtitle">
Scansiona ricorsivamente ogni sotto-cartella e sposta i file audio nella root.
Utile come "undo" della catalogazione o per unire archivi frammentati.
</p>
</div>
<div class="hero-deco">📤</div>
</header>
<h2 class="section-label">Cartella</h2>
<div class="card">
<div class="beatport-header">
<button id="flatten-pick-folder" class="btn btn-primary pill">📁 Scegli cartella</button>
<button id="flatten-start-btn" class="btn btn-blue pill" disabled>▶ Sposta tutto nella root</button>
<button id="flatten-stop-btn" class="btn btn-danger pill" hidden>■ Interrompi</button>
</div>
<div class="beatport-header" style="margin-top:12px;">
<span id="flatten-path-display" class="beatport-output-info" style="margin:0;">Nessuna cartella selezionata</span>
</div>
<div class="beatport-header" style="margin-top:12px;">
<label style="display:flex;gap:6px;align-items:center;color:var(--text-2);font-size:13px;">
<input type="checkbox" id="flatten-remove-empty" checked />
<span>Elimina le sotto-cartelle rimaste vuote dopo lo spostamento</span>
</label>
</div>
<div class="hint" style="margin-top:10px;">
<span class="hint-ico">ⓘ</span>
<div>
Ogni file con estensione audio (mp3, m4a, wav, flac...) nelle sotto-cartelle
verrà spostato nella cartella padre. In caso di nomi duplicati viene aggiunto
suffisso <code>_1</code>, <code>_2</code>... (nessun overwrite).
</div>
</div>
<div id="flatten-status" class="beatport-status"></div>
</div>
<h2 class="section-label">Progresso</h2>
<div class="card">
<div class="progress">
<div class="progress-bar"><div id="flattenProgressFill" class="progress-fill blue"></div></div>
<div class="progress-meta">
<span id="flattenPercent" class="percent blue">0%</span>
<span id="flattenCounter">In attesa</span>
</div>
</div>
</div>
<h2 class="section-label">Log</h2>
<div class="card log-card">
<div class="log" id="flatten-log"></div>
</div>
</section>
<!-- ===== VIEW: CHARTS ===== -->
<section class="view" id="view-charts">
<header class="hero hero-indigo">
<div class="hero-content">
<div class="hero-eyebrow indigo">CHARTS</div>
<h1 class="hero-title">Esplora le classifiche</h1>
<p class="hero-subtitle">Del momento (iTunes/Spotify), dance italiana (M2O) o storiche per genere (Last.fm) — aggiungi in un click alla coda Scarica.</p>
</div>
<div class="hero-deco">📊</div>
</header>
<h2 class="section-label">Sorgente</h2>
<div class="card">
<div class="charts-source-row">
<label class="charts-radio">
<input type="radio" name="charts-source" value="itunes" checked />
<span>🎵 Del momento (iTunes)</span>
</label>
<label class="charts-radio">
<input type="radio" name="charts-source" value="spotify" />
<span>🟢 Spotify Charts</span>
</label>
<label class="charts-radio">
<input type="radio" name="charts-source" value="m2o" />
<span>🔴 M2O Chart (dance italiana)</span>
</label>
<label class="charts-radio">
<input type="radio" name="charts-source" value="lastfm" />
<span>📻 Storiche per genere (Last.fm)</span>
</label>
</div>
<div class="charts-filters" id="charts-filters-itunes">
<div class="field inline">
<label class="field-label">Paese</label>
<select id="charts-itunes-country" class="input pill input-sm">
<option value="it">🇮🇹 Italia</option>
<option value="us">🇺🇸 USA</option>
<option value="gb">🇬🇧 UK</option>
<option value="ww">🌐 Mondo</option>
</select>
</div>
</div>
<div class="charts-filters" id="charts-filters-spotify" hidden>
<div class="field inline">
<label class="field-label">Playlist chart</label>
<select id="charts-spotify-playlist" class="input pill input-sm">
<option value="top50_global">Top 50 Global</option>
<option value="top50_italy">Top 50 Italy</option>
<option value="top50_usa">Top 50 USA</option>
<option value="top50_uk">Top 50 UK</option>
<option value="viral50_global">Viral 50 Global</option>
<option value="viral50_italy">Viral 50 Italy</option>
</select>
</div>
<div class="hint" style="margin-top:8px;">
<span class="hint-ico">ⓘ</span>
<div>
Le playlist Spotify richiedono le tue credenziali API (Impostazioni → Spotify).
Senza credenziali questa sorgente resta vuota.
</div>
</div>
</div>
<div class="charts-filters" id="charts-filters-m2o" hidden>
<div class="hint">
<span class="hint-ico">ⓘ</span>
<div>
Chart dance italiana settimanale di M2O. Nessun filtro: premi "Aggiorna" per caricare la classifica corrente.
</div>
</div>
</div>
<div class="charts-filters" id="charts-filters-lastfm" hidden>
<div class="field inline">
<label class="field-label">Decade</label>
<select id="charts-lastfm-decade" class="input pill input-sm">
<option value="">Nessuna</option>
<option value="70s">Anni 70</option>
<option value="80s">Anni 80</option>
<option value="90s" selected>Anni 90</option>
<option value="2000s">Anni 2000</option>
<option value="2010s">Anni 2010</option>
</select>
</div>
<div class="field inline">
<label class="field-label">Genere</label>
<select id="charts-lastfm-genre" class="input pill input-sm">
<option value="">Nessuno</option>
<option value="pop">Pop</option>
<option value="rock">Rock</option>
<option value="dance" selected>Dance</option>
<option value="house">House</option>
<option value="hip hop">Hip Hop</option>
<option value="latin">Latin</option>
<option value="r&amp;b">R&amp;B</option>
<option value="italo disco">Italo Disco</option>
<option value="reggae">Reggae</option>
<option value="electronic">Electronic</option>
</select>
</div>
<div class="hint" style="margin-top:8px;">
<span class="hint-ico">ⓘ</span>
<div>
Last.fm richiede una API key: nell'app c'è una chiave demo, se non funziona
registrane una gratuita su <code>last.fm/api/account/create</code> e mettila nel campo
<code>lastfm_api_key</code> di <code>config.json</code>.
</div>
</div>
</div>
<div class="beatport-header" style="margin-top:14px;gap:12px;">
<button id="charts-fetch-btn" class="btn btn-primary pill">
<span class="ico">▶</span> Aggiorna classifica
</button>
<label style="display:flex;gap:6px;align-items:center;color:var(--text-2);font-size:13px;">
<input type="checkbox" id="charts-force" />
<span>Ignora cache (force refresh)</span>
</label>
<span id="charts-status" class="beatport-status"></span>
</div>
</div>
<div id="charts-results-card" class="card" hidden>
<div class="charts-actions-row">
<span id="charts-summary-line" class="catalog-summary"></span>
<div class="charts-actions-btns">
<button id="charts-select-all-btn" class="btn btn-ghost pill btn-sm">Seleziona tutti</button>
<button id="charts-deselect-all-btn" class="btn btn-ghost pill btn-sm">Deseleziona tutti</button>
</div>
</div>
<div id="charts-table-wrap" class="charts-scroll">
<table class="charts-table">
<thead>
<tr>
<th class="charts-col-check">
<input type="checkbox" id="charts-select-all" title="Seleziona/deseleziona tutti" />
</th>
<th class="charts-col-rank">#</th>
<th class="charts-col-artist">Artista</th>
<th class="charts-col-title">Titolo</th>
<th class="charts-col-album">Album</th>
<th class="charts-col-pop">Popolarità</th>
</tr>
</thead>
<tbody id="charts-table-body"></tbody>
</table>
</div>
</div>
<div class="charts-footer-bar" id="charts-footer-bar" hidden>
<span class="counter" id="charts-selected-count">0 brani selezionati</span>
<button id="charts-add-queue-btn" class="btn btn-primary pill" disabled>
<span class="ico">➕</span> Aggiungi alla coda Scarica
</button>
</div>
<h2 class="section-label">Log</h2>
<div class="card log-card">
<div class="log" id="charts-log"></div>
</div>
</section>
</main>
</div>
@@ -922,6 +1782,49 @@
</div>
</div>
<!-- ============== MODAL: Match locale Upgrade ============== -->
<div class="modal-backdrop" id="upgradePickerModal" hidden>
<div class="modal">
<div class="modal-head">
<h2>Match locali trovati</h2>
<button class="modal-close" id="upgradePickerCloseBtn">×</button>
</div>
<div class="modal-body upgrade-picker-body">
<div class="modal-sub" id="upgradePickerFilename"></div>
<div id="upgradePickerList" class="upgrade-picker-list"></div>
</div>
<div class="modal-foot">
<button class="btn btn-primary pill" id="upgradePickerUseBtn" disabled>Usa selezionato</button>
<button class="btn btn-ghost pill" id="upgradePickerYoutubeBtn">Cerca su YouTube</button>
<button class="btn btn-ghost pill" id="upgradePickerSkipBtn">Salta</button>
<button class="btn btn-danger pill" id="upgradePickerCancelAllBtn">■ Annulla tutto</button>
</div>
</div>
</div>
<!-- ============== MODAL: Cataloga — conferma spostamento ============== -->
<div class="modal-backdrop" id="catalogConfirmModal" hidden>
<div class="modal">
<div class="modal-head">
<h2>Conferma spostamento</h2>
<button class="modal-close" id="catalogConfirmCloseBtn">×</button>
</div>
<div class="modal-body">
<p id="catalogConfirmMsg">Stai per spostare N file. Procedi?</p>
<p class="modal-hint">
L'operazione riorganizza i file in sottocartelle
<code>&lt;Anno&gt;/&lt;Genere&gt;/</code>. E' reversibile
manualmente dal log ma puo' richiedere tempo su cartelle
grandi.
</p>
</div>
<div class="modal-foot">
<button class="btn btn-ghost pill" id="catalogConfirmCancelBtn">Annulla</button>
<button class="btn btn-danger pill" id="catalogConfirmProceedBtn">Sposta</button>
</div>
</div>
</div>
<!-- ============== TOAST ============== -->
<div class="toast" id="toast"></div>
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