import pathlib
from pathlib import Path
import os
import pandas as pd
import argparse

def get_inode_path(p: Path):
    return {'inode': os.stat(p, follow_symlinks=False).st_ino, 'path':p}
    
def more_than_one_link(filename):
    return os.stat(filename).st_nlink == 2

def list_inode(directory):
    print("hardlinks:" + str(directory))
    ino_path = []
    for p in directory.rglob('*'):
        if "eaDir" not in str(p):
            if Path(p).is_symlink() is False and more_than_one_link(p):
                ino_set = get_inode_path(Path(p))
                ino_path.append(ino_set)
    return(ino_path)

def replace_hdlink_with_symlink(table_linkPaths):
    for idx, row in table_linkPaths.iterrows():
        link = row['path_downloads'].resolve()

        target = row['path_library'].resolve()
        target_name = target.name

        relpath_parent = os.path.relpath(path=target.parent, start=link.parent)

        print("Remove: " + str(link))
        os.remove(link)
        link.symlink_to(os.path.join(relpath_parent, target_name))

if __name__ == "__main__":
    parser = argparse.ArgumentParser(description = 'convert hardlink to symlink in download folder')

    parser.add_argument('Download',
                        metavar='--download',
                        type=str,
                        help='the path to downloadfolder (e.g. downloads/complete)')

    parser.add_argument('Library',
                        metavar='--library',
                        type=str,
                        help='the path to library foler (e.g. Movies)')

    args = parser.parse_args()
    path_download = args.Download
    path_library = args.Library
    
    library_files = list_inode(Path(path_library))
    download_files = list_inode(Path(path_download))
    df_library = pd.DataFrame(library_files)
    df_library.columns = ['inode', 'path_library']
    df_library.to_csv('df_library.csv')
    df_downloads = pd.DataFrame(download_files)
    df_downloads.columns = ['inode', 'path_downloads']
    df_downloads.to_csv('df_downloads.csv')
    merged_df = pd.merge(left=df_downloads, right=df_library, on = 'inode')
    print(merged_df.shape)
    print(merged_df)
#    replace_hdlink_with_symlink(merged_df)