import glob
import pandas as pd
import os


def sanitize_urls_in_instances(root_folder, filename, url_containing_columns):
    """
    Iterates through all "instances.csv" files in subfolders of the given
    root folder, reads them into pandas DataFrames, and replaces dots (".")
    in URLs within the specified columns with "[DOT]". Saves the modified
    DataFrames back to the same files.

    Args:
        root_folder (str): The path to the root folder containing the
                           subfolders with "instances.csv" files.
        url_containing_columns (list): A list of column names that might
                                       contain URLs.
    """
    pattern = os.path.join(root_folder, "**", filename)
    file_paths = glob.glob(pattern, recursive=True)

    if not file_paths:
        print(f"No {filename} files found under the root folder: {root_folder}")
        return

    print(file_paths)
    resp = input("Are the paths OK? [y/n] ")
    if not resp == "y":
        return

    for file_path in file_paths:
        try:
            print(f"Processing file: {file_path}")
            df = pd.read_csv(file_path)

            changed = False
            for col in url_containing_columns:
                if col in df.columns:
                    if (df[col].str.contains(r"\.")).any():
                        df[col] = df[col].str.replace(".", "[DOT]")
                        print(f"  Sanitized URLs in column: {col}")
                        changed = True
                    else:
                        print(f"  Column {col} already sanitized")
                else:
                    print(f"  Column '{col}' not found in this file.")

            if changed:
                df.to_csv(file_path, index=False)
        except FileNotFoundError:
            print(f"Error: File not found at {file_path}")
        except Exception as e:
            print(f"An error occurred while processing {file_path}: {e}")


instances_cols_with_url = ["host", "Id", "Label"]
interactions_cols_with_url = ["Source", "Target"]

sanitize_urls_in_instances("./", "instances.csv", instances_cols_with_url)
sanitize_urls_in_instances("./", "interactions.csv", interactions_cols_with_url)