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Update app.py
Browse files
app.py
CHANGED
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@@ -6,123 +6,262 @@ import shutil
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import os
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from tempfile import NamedTemporaryFile
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#
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client_ids = os.getenv("SPOTIFY_CLIENT_IDS", "").split(',')
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client_secrets = os.getenv("SPOTIFY_CLIENT_SECRETS", "").split(',')
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if not client_ids or not client_secrets:
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raise ValueError("
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#
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request_counter = 0
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MAX_REQUESTS_PER_CLIENT =
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def rotate_client():
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global
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request_counter = 0
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print(f"Rotando a cliente Spotify #{
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def
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global
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for _ in range(len(client_ids)):
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client_id = client_ids[
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client_secret = client_secrets[
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response = requests.post(
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headers={'Content-Type': 'application/x-www-form-urlencoded'},
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data={'grant_type': 'client_credentials'},
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auth=(client_id, client_secret)
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if response.status_code == 200:
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return response.json().get('access_token')
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raise Exception("Todos los clientes
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global request_counter
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response = requests.get(url, headers=headers, params=params)
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request_counter += 1
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if response.status_code == 429:
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print(f"
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rotate_client()
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headers
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time.sleep(int(response.headers.get('Retry-After', 10)))
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continue
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if response.status_code == 200:
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if request_counter >= MAX_REQUESTS_PER_CLIENT:
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rotate_client()
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print(f"Error {response.status_code}: {response.text}")
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time.sleep(2)
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return None
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def
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#
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elif "/track/" in url:
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url_type = "track"
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else:
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print(f"URL no soportada: {url}")
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continue
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urls_list.append((url, url_type))
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if not urls_list:
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return gr.Dataframe(value=pd.DataFrame({"Error": ["No valid URLs provided"]})), None
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token = get_token()
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all_tracks = []
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for url
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try:
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if
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all_tracks.extend(
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elif url_type == "track":
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print(f"Procesando track: {url}")
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track = get_track_info(token, url)
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if track:
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all_tracks.extend(track)
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except Exception as e:
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print(f"Error procesando {url}: {str(e)}")
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continue
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-
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-
iface
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-
iface.launch()
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import os
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from tempfile import NamedTemporaryFile
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# Configuración de Credenciales
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client_ids = os.getenv("SPOTIFY_CLIENT_IDS", "").split(',')
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client_secrets = os.getenv("SPOTIFY_CLIENT_SECRETS", "").split(',')
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if not client_ids or not client_secrets:
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raise ValueError("Faltan variables de entorno SPOTIFY_CLIENT_IDS o SPOTIFY_CLIENT_SECRETS")
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# Gestión de Rotación de Clientes
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current_client_index = 0
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request_counter = 0
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MAX_REQUESTS_PER_CLIENT = 95 # Rotar antes de llegar al límite de 100
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def rotate_client():
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global current_client_index, request_counter
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current_client_index = (current_client_index + 1) % len(client_ids)
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request_counter = 0
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print(f"🔁 Rotando a cliente Spotify #{current_client_index + 1}")
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def get_spotify_token():
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global current_client_index
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for _ in range(len(client_ids)):
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client_id = client_ids[current_client_index]
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client_secret = client_secrets[current_client_index]
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response = requests.post(
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'https://accounts.spotify.com/api/token',
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headers={'Content-Type': 'application/x-www-form-urlencoded'},
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data={'grant_type': 'client_credentials'},
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auth=(client_id, client_secret)
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if response.status_code == 200:
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return response.json().get('access_token')
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print(f"❌ Error con cliente {current_client_index}: {response.text}")
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rotate_client()
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raise Exception("🚨 Todos los clientes fallaron al obtener token")
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# Funciones Principales
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def make_spotify_request(url, params=None):
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global request_counter
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token = get_spotify_token()
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headers = {'Authorization': f'Bearer {token}'}
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for _ in range(3): # Reintentos máximos
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response = requests.get(url, headers=headers, params=params)
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request_counter += 1
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if response.status_code == 429:
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print(f"⚠️ Límite de tasa alcanzado. Cliente: {current_client_index}")
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rotate_client()
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time.sleep(int(response.headers.get('Retry-After', 10)) # Espera mínima de 10 segundos
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continue
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if response.status_code == 200:
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if request_counter >= MAX_REQUESTS_PER_CLIENT:
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rotate_client()
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return response.json()
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print(f"❌ Error {response.status_code}: {response.text}")
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time.sleep(2)
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return None
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def extract_spotify_id(url, type_keyword):
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"""Extrae ID de diferentes formatos de URLs de Spotify"""
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if type_keyword in url:
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parts = url.split(f"/{type_keyword}/")
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if len(parts) > 1:
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return parts[1].split("?")[0].split("/")[0]
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# Manejo de URLs complejas
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parts = [p for p in url.split("/") if p]
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for i, part in enumerate(parts):
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if part == type_keyword and i < len(parts)-1:
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return parts[i+1].split("?")[0]
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return url.split("/")[-1].split("?")[0]
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def get_playlist_tracks(playlist_url):
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playlist_id = extract_spotify_id(playlist_url, "playlist")
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print(f"🎧 Obteniendo playlist: {playlist_id}")
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all_tracks = []
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url = f'https://api.spotify.com/v1/playlists/{playlist_id}/tracks'
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while url:
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data = make_spotify_request(url)
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if not data:
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break
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all_tracks.extend([item['track'] for item in data.get('items', []) if item.get('track')])
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url = data.get('next')
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print(f"✅ Encontrados {len(all_tracks)} tracks")
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return all_tracks
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def get_album_tracks(album_url):
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album_id = extract_spotify_id(album_url, "album")
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print(f"💿 Obteniendo álbum: {album_id}")
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# Obtener información básica del álbum
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album_data = make_spotify_request(f'https://api.spotify.com/v1/albums/{album_id}')
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if not album_data:
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return []
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all_tracks = []
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url = f'https://api.spotify.com/v1/albums/{album_id}/tracks'
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while url:
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data = make_spotify_request(url)
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if not data:
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break
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# Obtener detalles completos de cada track
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for item in data.get('items', []):
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track_data = make_spotify_request(f"https://api.spotify.com/v1/tracks/{item['id']}")
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if track_data:
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track_data['album'] = { # Añadir info del álbum
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'name': album_data.get('name'),
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'release_date': album_data.get('release_date'),
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'id': album_id
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}
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all_tracks.append(track_data)
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url = data.get('next')
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print(f"✅ Encontrados {len(all_tracks)} tracks")
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return all_tracks
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def process_tracks(urls):
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all_tracks = []
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for url in urls:
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try:
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if "playlist" in url:
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all_tracks.extend(get_playlist_tracks(url))
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elif "album" in url:
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all_tracks.extend(get_album_tracks(url))
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elif "track" in url:
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track_id = extract_spotify_id(url, "track")
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track_data = make_spotify_request(f"https://api.spotify.com/v1/tracks/{track_id}")
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if track_data:
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all_tracks.append(track_data)
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except Exception as e:
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print(f"⚠️ Error procesando {url}: {str(e)}")
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return all_tracks
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# Procesamiento de Datos
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def create_final_dataframe(tracks, include_all_info=True):
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artist_cache = {}
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def get_artist_details(artist_id):
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if artist_id not in artist_cache:
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data = make_spotify_request(f"https://api.spotify.com/v1/artists/{artist_id}")
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artist_cache[artist_id] = {
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'genres': data.get('genres', []) if data else [],
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'followers': data.get('followers', {}).get('total', 0) if data else 0,
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'popularity': data.get('popularity', 0) if data else 0
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}
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return artist_cache[artist_id]
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processed = []
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for track in tracks:
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if not track:
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continue
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main_artist = track['artists'][0] if track.get('artists') else {}
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artist_info = get_artist_details(main_artist.get('id')) if main_artist.get('id') else {}
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duration_min = f"{track['duration_ms']//60000}:{str(track['duration_ms']%60000//1000).zfill(2)}"
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track_data = {
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'Artista': main_artist.get('name', 'Desconocido'),
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'Título': track.get('name', 'Sin título'),
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'Álbum': track.get('album', {}).get('name', 'Sin álbum'),
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'ISRC': track.get('external_ids', {}).get('isrc', 'No disponible'),
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'Popularidad': track.get('popularity', 0),
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'Duración': duration_min,
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'Fecha Lanzamiento': track.get('album', {}).get('release_date', 'No disponible'),
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'Enlace Spotify': track.get('external_urls', {}).get('spotify', '')
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}
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if include_all_info:
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track_data.update({
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'Géneros': ', '.join(artist_info.get('genres', [])),
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'Seguidores Artista': artist_info.get('followers', 0),
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'Popularidad Artista': artist_info.get('popularity', 0),
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'Explicit': 'Sí' if track.get('explicit') else 'No',
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'ID Track': track.get('id'),
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'ID Álbum': track.get('album', {}).get('id')
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})
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processed.append(track_data)
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df = pd.DataFrame(processed)
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# Eliminar duplicados usando ISRC o combinación artista-título
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df['dup_key'] = df.apply(
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lambda x: x['ISRC'] if x['ISRC'] != 'No disponible' else f"{x['Artista']}|{x['Título']}",
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axis=1
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)
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df = df.drop_duplicates('dup_key').drop(columns='dup_key')
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return df
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# Interfaz Gradio
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| 217 |
+
def main_interface(project_name, spotify_urls, include_all_info=True):
|
| 218 |
+
urls = [url.strip() for url in spotify_urls.strip().split('\n') if url.strip()]
|
| 219 |
+
|
| 220 |
+
if not urls:
|
| 221 |
+
return pd.DataFrame({"Error": ["Ingresa al menos una URL válida"]}), None
|
| 222 |
+
|
| 223 |
+
print("⏳ Procesando URLs...")
|
| 224 |
+
tracks = process_tracks(urls)
|
| 225 |
+
|
| 226 |
+
if not tracks:
|
| 227 |
+
return pd.DataFrame({"Error": ["No se encontraron tracks"]}), None
|
| 228 |
+
|
| 229 |
+
print("📊 Creando dataframe...")
|
| 230 |
+
df = create_final_dataframe(tracks, include_all_info)
|
| 231 |
+
|
| 232 |
+
with NamedTemporaryFile(delete=False, suffix='.xlsx') as tmp:
|
| 233 |
+
df.to_excel(tmp.name, index=False)
|
| 234 |
+
final_filename = f"{project_name}.xlsx" if project_name else "spotify_tracks.xlsx"
|
| 235 |
+
shutil.move(tmp.name, final_filename)
|
| 236 |
+
|
| 237 |
+
print("✅ Proceso completado")
|
| 238 |
+
return df, final_filename
|
| 239 |
+
|
| 240 |
+
# Configuración de la UI
|
| 241 |
+
iface = gr.Interface(
|
| 242 |
+
fn=main_interface,
|
| 243 |
+
inputs=[
|
| 244 |
+
gr.Textbox(label="Nombre del Proyecto", placeholder="Mi Colección Musical"),
|
| 245 |
+
gr.Textbox(
|
| 246 |
+
label="URLs de Spotify (1 por línea)",
|
| 247 |
+
placeholder="Pega aquí URLs de playlists, álbumes o canciones...",
|
| 248 |
+
lines=5
|
| 249 |
+
),
|
| 250 |
+
gr.Checkbox(label="Incluir toda la información", value=True)
|
| 251 |
+
],
|
| 252 |
+
outputs=[
|
| 253 |
+
gr.Dataframe(label="Resultados"),
|
| 254 |
+
gr.File(label="Descargar Excel")
|
| 255 |
+
],
|
| 256 |
+
title="🟢 Spotify Track Collector PRO",
|
| 257 |
+
description="Extrae información detallada de múltiples URLs de Spotify (playlists, álbumes, canciones) y genera un Excel unificado.",
|
| 258 |
+
examples=[
|
| 259 |
+
["Mi Playlist", "https://open.spotify.com/playlist/37i9dQZF1DXcBWIGoYBM5M", True],
|
| 260 |
+
["Álbum Clásico", "https://open.spotify.com/album/1R5BORZZxNUg8QMgbqt0nd", False]
|
| 261 |
+
],
|
| 262 |
+
allow_flagging="never",
|
| 263 |
+
theme=gr.themes.Soft()
|
| 264 |
+
)
|
| 265 |
|
| 266 |
+
if __name__ == "__main__":
|
| 267 |
+
iface.launch(server_name="0.0.0.0", server_port=7860)
|
|
|