import pandas as pd
import chardet
import ftfy

def read_csv_with_encoding(file_path):
    # Detect the file encoding
    with open(file_path, 'rb') as f:
        result = chardet.detect(f.read())
        encoding = result['encoding']

    # Try reading the file with the detected encoding
    try:
        df = pd.read_csv(file_path, encoding=encoding)
        return df
    except UnicodeDecodeError:
        # If the detected encoding fails, try other encodings
        for enc in ['utf-8', 'latin-1', 'cp1252']:
            try:
                df = pd.read_csv(file_path, encoding=enc, errors='replace')
                return df
            except UnicodeDecodeError:
                pass

    # If all encodings fail, try fixing the text
    with open(file_path, 'rb') as f:
        text = f.read().decode('latin-1', errors='replace')
        fixed_text = ftfy.fix_text(text)

    try:
        df = pd.read_csv(io.StringIO(fixed_text), encoding='utf-8')
        return df
    except UnicodeDecodeError:
        print(f"Failed to read {file_path} after trying multiple encodings and text fixes.")
        return None

# Example usage
file_path = 'path/to/your/csv/file.csv'
df = read_csv_with_encoding(file_path)
if df is not None:
    print(df.head())
else:
    print("Failed to read the CSV file.")