import pandas as pd
import sys

metadata_path = "C:/Users/Swamy/OneDrive - Zafrens/Desktop/Z-Screen Deepdive/Shared_Source_Data_June2026/external_reference/compound_atlases/lincs_l1000/processed/lincs_l1000_signature_metadata.parquet"
try:
    df = pd.read_parquet(metadata_path)
    print("Columns:", df.columns.tolist())
    
    if 'pert_type' in df.columns:
        print("\nPerturbation Types:")
        print(df['pert_type'].value_counts())
    
    if 'cell_id' in df.columns:
        cells_of_interest = ['A549', 'HEK293', 'HEK293T', 'THP1', 'H1650', 'AEC7']
        print("\nCell Lines matching our interest:")
        print(df[df['cell_id'].isin(cells_of_interest)]['cell_id'].value_counts())
        
except Exception as e:
    print("Error:", e)