main.py

'''
main.py - Spotify Global Trends Analysis
This script handles the automated data cleaning and launches the dashboard.
'''
import os
import sys
import subprocess
from src.cleaner import SpotifyCleaner

def prepare_data():
    """
    Data Preparation: Loads the raw dataset, applies cleaning logic, and saves the output.
    """
    print("Initializing data preparation pipeline.")

    # Define paths for input and output files
    raw_csv = os.path.join("data", "track_data_final.csv")
    cleaned_csv = os.path.join("data", "cleaned_data.csv")

    # Run the cleaning process using SpotifyCleaner class
    cleaner = SpotifyCleaner(input_path=raw_csv)
    
    print(f"Loading raw data from: {raw_csv}")
    cleaner.load_data()
    
    print("Applying cleaning and preprocessing steps.")
    cleaner.clean()
    
    print(f"Saving processed data to: {cleaned_csv}")
    cleaner.save_data(output_path=cleaned_csv)
    
    print("Data preparation completed successfully.\n")

def run_dashboard():
    """
    Launching Dashboard: Starts the Streamlit application as a subprocess.
    """
    print("Starting the Streamlit dashboard app.")
    
    try:
        # Run streamlit run app.py using the current python executable
        subprocess.run([sys.executable, "-m", "streamlit", "run", "app.py"])
    except Exception as e:
        print(f"\nFailed to start the dashboard: {e}")

if __name__ == "__main__":
    # First refresh the cleaned data
    prepare_data()
    
    # Then open the web interface
    run_dashboard()