import pandas as pd
from pathlib import Path
from tqdm import tqdm

def find_last_true_index(interpolated_series):
    
    true_indices = interpolated_series[interpolated_series == True].index
    if len(true_indices) > 0:
        return true_indices[-1]
    return None

def analyze_all_samples(data_dir):
    
    data_path = Path(data_dir)
    parquet_files = sorted(data_path.glob("*.parquet"))
    
    results = []
    
    for parquet_file in tqdm(parquet_files, desc="analyzing samples"):
        sample_name = parquet_file.stem
        
        df = pd.read_parquet(parquet_file)
        
        if 'interpolated' not in df.columns:
            print(f"warning: {sample_name} has no interpolated column")
            continue
        
        last_true_idx = find_last_true_index(df['interpolated'])
        
        results.append({
            'sample': sample_name,
            'last_true_index': last_true_idx
        })
    
    # create results DataFrame
    results_df = pd.DataFrame(results)
    
    # save to CSV
    output_csv = Path(data_dir).parent / 'interpolated_analysis.csv'
    results_df.to_csv(output_csv, index=False)
    print(f"\nresults saved to: {output_csv}")
    
    return results_df

# example
if __name__ == "__main__":
    data_dir = "./trajectories"
    results = analyze_all_samples(data_dir)
    
    print("\nanalysis results:")
    print(results)
    print(f"\nstatistics:")
    print(results.describe())