clean_data.py

import pandas as pd
import os
from tqdm import tqdm

def clean_and_sort_csv(filepath, output_dir="cleaned_data"):
    """Clean CSV file and ensure chronological order"""
    os.makedirs(output_dir, exist_ok=True)
    
    df = pd.read_csv(filepath)
    
    # Ensure timestamp is datetime
    df['timestamp'] = pd.to_datetime(df['timestamp'])
    
    # Sort by timestamp
    df = df.sort_values('timestamp')
    
    # Remove duplicates
    df = df.drop_duplicates(subset=['timestamp'])
    
    # Forward fill any small gaps (optional)
    df = df.set_index('timestamp').asfreq('1H').ffill().reset_index()
    
    # Save cleaned file
    filename = os.path.basename(filepath)
    output_path = os.path.join(output_dir, filename)
    df.to_csv(output_path, index=False)
    
    return df

def clean_all_data(input_dir="data", output_dir="cleaned_data"):
    """Process all CSV files in directory"""
    for root, _, files in os.walk(input_dir):
        for file in tqdm(files, desc="Cleaning files"):
            if file.endswith('.csv'):
                filepath = os.path.join(root, file)
                clean_and_sort_csv(filepath, output_dir)

if __name__ == "__main__":
    clean_all_data()
    print("Data cleaning complete. Cleaned files saved to 'cleaned_data' folder.")