mood.py.bak

import requests
import urllib.parse

def get_mood_songs():
    """Returns a dictionary of moods and their corresponding song lists (fallback)."""
    return {
        'happy': [
            "Pharrell Williams - Happy",
            "Justin Timberlake - Can't Stop the Feeling!",
            "Katrina and the Waves - Walking on Sunshine",
            "Mark Ronson ft. Bruno Mars - Uptown Funk"
        ],
        'sad': [
            "Adele - Someone Like You",
            "Coldplay - Fix You",
            "Sam Smith - Stay With Me",
            "Billie Eilish - when the party's over"
        ],
        'focused': [
            "Lofi Girl - Study Beats",
            "Hans Zimmer - Time",
            "Ludovico Einaudi - Nuvole Bianche",
            "Tycho - Awake"
        ],
        'energetic': [
            "Survivor - Eye of the Tiger",
            "Eminem - Lose Yourself",
            "Queen - Don't Stop Me Now",
            "The Weeknd - Blinding Lights"
        ]
    }

def get_itunes_recommendations(mood):
    """Fetches song recommendations from iTunes Search API based on mood."""
    mood_terms = {
        'happy': 'happy music',
        'sad': 'sad songs',
        'focused': 'study music',
        'energetic': 'workout music'
    }

    if mood not in mood_terms:
        return None

    term = mood_terms[mood]
    encoded_term = urllib.parse.quote(term)
    url = f"https://itunes.apple.com/search?term={encoded_term}&media=music&entity=song&limit=5"

    try:
        response = requests.get(url, timeout=5)
        response.raise_for_status()
        data = response.json()
        
        tracks = []
        if 'results' in data:
            for result in data['results']:
                track_name = result.get('trackName', 'Unknown Track')
                artist_name = result.get('artistName', 'Unknown Artist')
                tracks.append(f"{artist_name} - {track_name}")
        
        return tracks if tracks else None
    except Exception as e:
        print(f"Error fetching from iTunes: {e}")
        return None

def recommend_songs(mood):
    """Prints song recommendations based on the given mood."""
    mood = mood.lower().strip()
    
    # Try iTunes first
    print(f"Searching online for '{mood}' songs...")
    itunes_songs = get_itunes_recommendations(mood)
    
    if itunes_songs:
        print(f"\nHere are some recommendations from iTunes for your '{mood}' mood:")
        for song in itunes_songs:
            print(f"- {song}")
        return

    # Fallback to local list
    mood_songs = get_mood_songs()
    if mood in mood_songs:
        print(f"\nHere are some songs for your '{mood}' mood (Offline Fallback):")
        for song in mood_songs[mood]:
            print(f"- {song}")
    else:
        print(f"\nSorry, I don't have a playlist for '{mood}'.")
        print("Try one of these: " + ", ".join(mood_songs.keys()))

def main():
    print("Welcome to the Mood-Based Music Recommender!")
    print("Available moods: happy, sad, focused, energetic")
    
    while True:
        user_input = input("\nHow are you feeling today? (or type 'exit' to quit): ")
        
        if user_input.lower() == 'exit':
            print("Goodbye! Hope your mood improves!")
            break
            
        recommend_songs(user_input)

if __name__ == "__main__":
    main()