import pandas as pd
import glob
import os

# Collect all .xls and .xlsx files in the current directory
excel_files = glob.glob("*.xls") + glob.glob("*.xlsx")

for file_path in excel_files:
    print(f"Processing: {file_path}")
    # Read the first sheet
    df = pd.read_excel(file_path, sheet_name=0, header=None)
    
    # Remove the first 9 rows
    df = df.iloc[9:, :]
    
    # Remove rows where column A has "TỔNG"
    df = df[df.iloc[:, 0] != "TỔNG"]
    
    # Construct output file name
    base_name = os.path.splitext(file_path)[0]  # e.g. "data"
    output_file = f"{base_name}_cleaned.xlsx"
    
    # Save the result
    df.to_excel(output_file, index=False, header=False)
    print(f" --> Cleaned file saved as: {output_file}")