import re

def clean_text(text):
    # Remove extra spaces and newlines
    text = re.sub(r'\s+', ' ', text)
    
    # Remove any unwanted special characters
    text = re.sub(r'[^\w\s.,;?!-]', '', text)
    
    # Optional: Remove redundant spaces around punctuation
    text = re.sub(r'\s([?.!.,;])', r'\1', text)
    
    # Capitalize the first letter of each sentence
    text = re.sub(r'(?<!\w\.\w.)(?<![A-Z][a-z]\.)(?<=\.|\?)\s', ' ', text).capitalize()

    return text.strip()

def process_text_file(input_file, output_file):
    with open(input_file, 'r', encoding='utf-8') as file:
        content = file.read()

    cleaned_content = clean_text(content)
    
    with open(output_file, 'w', encoding='utf-8') as file:
        file.write(cleaned_content)

# Usage
input_file = '/Users/push/pro/rag/data/books/test/- Hunter_s Tropical Medicine and Emerging Infectious Disease-Saunders (2012)(Z-Lib.io).txt'
output_file = './output.txt'

process_text_file(input_file, output_file)
print(f"Cleaned text saved as {output_file}")