prepare/convert.py

import os
import pandas as pd

def read_text_file(file_path):
    """
    Read a text file and return its content and filename.
    
    Args:
        file_path (str): Path to the text file
        
    Returns:
        list: List of tuples containing (text_line, file_origin)
    """
    try:
        with open(file_path, 'r', encoding='utf-8') as file:
            content = file.read()
        
        # Split content by newline character
        lines = content.split('\n')
        
        # Get origin name from filename without extension
        origin = os.path.basename(file_path)
        if '.' in origin:
            origin = origin.split('.')[0]
        
        # Create list of tuples (text, origin)
        result = [(line, origin) for line in lines if line.strip()]
        
        return result
    except Exception as e:
        print(f"Error processing {file_path}: {e}")
        return []

def main():
    # List of files to process
    files = ["fb.txt", "threads.txt", "tbrain.txt", "ptt.txt", "dcard.txt", "discord.txt"]
    
    # Collect all data
    all_data = []
    
    # Process each file
    for file_path in files:
        if os.path.exists(file_path):
            print(f"Processing {file_path}...")
            file_data = read_text_file(file_path)
            all_data.extend(file_data)
        else:
            print(f"File not found: {file_path}")
    
    # Create DataFrame
    df = pd.DataFrame(all_data, columns=['text', 'origin'])
    df.drop_duplicates(subset=['text'], inplace=True)
    df.reset_index(drop=True, inplace=True)
    print(f"Total unique lines: {len(df)}")
    # Save to CSV
    csv_path = "train.csv"
    df.to_csv(csv_path, index=False)
    print(f"CSV file created: {csv_path}")
    
    # Save to Parquet
    parquet_path = "train.parquet"
    df.to_parquet(parquet_path, index=False)
    print(f"Parquet file created: {parquet_path}")
    
    # Print summary
    print("\nSummary:")
    print(f"Total rows: {len(df)}")
    print("Rows by origin:")
    print(df['origin'].value_counts())

if __name__ == "__main__":
    main()