import csv

def convert_dataset(input_file, output_file):
    attributes = {
        1: ["empty", "low", "medium", "high"],
        2: ["empty", "full"],
        3: ["none", "available"],
        4: ["none", "available"],
        5: ["unavailable", "available"],
        6: ["low", "medium", "high"],
        7: ["no", "yes"],
        8: ["no", "yes"]
    }
    
    # Create a mapping dictionary for attribute values
    mapping = {}
    for attr, values in attributes.items():
        mapping[attr] = {value: index for index, value in enumerate(values)}
    
    converted_dataset = []
    
    # Read the input CSV file
    with open(input_file, "r") as csvfile:
        reader = csv.reader(csvfile)
        
        header = next(reader)  # Skip the header row
        
        # Convert the data rows
        for row in reader:
            converted_row = []
            for i, value in enumerate(row):
                # Convert the attribute values
                if i + 1 in mapping:
                    converted_value = mapping[i + 1][value]
                else:
                    converted_value = value
                
                converted_row.append(converted_value)
            
            converted_dataset.append(converted_row)
    
    # Write the converted dataset to a new CSV file
    with open(output_file, "w", newline="") as csvfile:
        writer = csv.writer(csvfile)
        
        # Write the header row
        #writer.writerow(header)
        
        # Write the converted data rows
        for row in converted_dataset:
            writer.writerow(row)

# Example usage:
convert_dataset("dataset/Dataset.csv", "dataset/converted_dataset.csv")