dirdf 0.11

Never mind explorer.exe, here is dirdf

Are you one of those people who have never any space on their hard disk? Do you spend hours and hours searching for your files because you never remember where you saved them? Well, since I am one of those, I tried several tools in the past: TreeSize / WinDirStat / WizTree / SpaceSniffer / GREP. They all are great,

but take forever to get the job done and only offer limited filter functions. Around 5 hours ago, after having searched around 30 minutes for a file on my hard drive, I decided to do something about it ...

Install the package (Windows only)

pip install dirdf

Install Cygwin (ls.exe is necessary for getting the file list)

ls.exe.

Tools needed for some functions

strings.exe.

rg.exe.

fzf.exe.

It is recommended to add strings.exe/rg.exe/fzf.exe/ls.exe files to your path

from dirdf import pd_add_dfdir

pd_add_dfdir()

import pandas as pd



df = pd.Q_folder_to_df(

    folder=r"C:\Users\blabla",

    ls_path="ls",

    last_access_time=True,

    exit_keys="ctrl+x",

    timeout=None,

)

df2 = pd.Q_folder_to_df_with_functions(

    folder=r"C:\Users\blabla",

    ls_path="ls",

    last_access_time=True,

    exit_keys="ctrl+x",

    timeout=None,

    strings_path="strings",

    fzf_path="fzf",

    rip_grep_path="rg.exe",

    add_flatcopy_sorted=True,

    add_flatcopy=True,

    add_extract_strings=True,

    add_fuzzy_extract=True,

    add_ripgrep=True,

    add_open_file=True,

    add_move_file=True,

)



# Some examples



# Flatcopy - foldersep='ǀ' means that the backslash ‘\’ will be replaced by 'ǀ'. The replacement is important because there is no “flat copy” with a backslash in the path! All file types (pdf, jpg ... ) will get their own folder. If you want to save space, create a symlink instead of copying the whole file 

df.loc[df.aa_fullpath.str.contains(r'\.txt|\.docx|\.jpg')][:100].ff_flatcopy_sorted.apply(lambda x:x('f:\\testflatcopy_df', foldersep='ǀ', symlink=False, copystat=True))

df.loc[df.aa_fullpath.str.contains(r'\.txt|\.docx|\.jpg')][:100].ff_flatcopy_sorted.apply(lambda x:x('f:\\testflatcopy_df\\symlink', foldersep='ǀ', symlink=True, copystat=True)) # copystat will be ignored in this case



# Flatcopy without sorting file types

df.loc[df.aa_fullpath.str.contains(r'\.txt')][2:100].ff_flatcopy.apply(lambda x:x('f:\\newfoldertest\\flatcopy'))

df.loc[df.aa_fullpath.str.contains(r'\.txt')][2:100].ff_flatcopy.apply(lambda x:x('f:\\newfoldertest\\flatcopy\\sym',symlink=True))



# Extract all strings from any file 

df.loc[df.aa_fullpath.str.contains(r'\.txt')][:100].ff_extract_strings.apply(lambda x:x(exit_keys='ctrl+x', print_output=True, timeout=None))



# Fuzzy search in any file

df.loc[df.aa_fullpath.str.contains(r'\.txt')][:100].ff_fuzzy.apply(lambda x:x('windows'))



# Regex search in any file

df.loc[df.aa_fullpath.str.contains(r'\.txt')][:100].ff_ripgrep.apply(lambda x:x(regular_expression='name', other_parameters='-i', exit_keys='ctrl+x', print_output=True, timeout=.1))



# Executes os.startfile()

df.loc[df.aa_fullpath.str.contains(r'\.txt')][:100].iloc[0].ff_open()



# Moves files, keeps the folder structur

df.loc[df.aa_fullpath.str.contains(r'\.txt')][:1].ff_move_file.apply(lambda x:x('f:\\newfoldertest'))





df

Out[3]: 

                               aa_date  ... aa_filetype

0  2022-10-23 12:18:58.767317900-03:00  ...          .0

1  2022-10-23 05:48:51.755017400-03:00  ...       .yaml

2  2022-10-23 05:51:47.520702700-03:00  ...        .jpg

3  2022-10-23 05:51:46.817189600-03:00  ...        .jpg

4  2022-10-23 05:48:51.755017400-03:00  ...       .yaml

5  2022-10-23 12:18:58.767317900-03:00  ...        .csv

6  2022-10-23 05:51:49.630625800-03:00  ...        .jpg

7  2022-10-23 05:51:52.116036400-03:00  ...        .jpg

8  2022-10-23 05:51:52.678404900-03:00  ...        .jpg

9  2022-10-23 13:31:03.003835900-03:00  ...         NaN

10 2022-10-23 12:18:59.267762600-03:00  ...         .pt

11 2022-10-23 06:00:01.068658100-03:00  ...         .pt

12 2022-10-23 07:23:56.117463800-03:00  ...         .pt

13 2022-10-23 08:53:33.799414100-03:00  ...         .pt

14 2022-10-23 12:18:59.048534200-03:00  ...         .pt

[15 rows x 14 columns]

df2

Out[4]: 

                               aa_date  ...                                        ff_flatcopy

0  2022-10-23 12:18:58.767317900-03:00  ...  dest_folder:str, foldersep:str='ǀ', symlink:bo...

1  2022-10-23 05:48:51.755017400-03:00  ...  dest_folder:str, foldersep:str='ǀ', symlink:bo...

2  2022-10-23 05:51:47.520702700-03:00  ...  dest_folder:str, foldersep:str='ǀ', symlink:bo...

3  2022-10-23 05:51:46.817189600-03:00  ...  dest_folder:str, foldersep:str='ǀ', symlink:bo...

4  2022-10-23 05:48:51.755017400-03:00  ...  dest_folder:str, foldersep:str='ǀ', symlink:bo...

5  2022-10-23 12:18:58.767317900-03:00  ...  dest_folder:str, foldersep:str='ǀ', symlink:bo...

6  2022-10-23 05:51:49.630625800-03:00  ...  dest_folder:str, foldersep:str='ǀ', symlink:bo...

7  2022-10-23 05:51:52.116036400-03:00  ...  dest_folder:str, foldersep:str='ǀ', symlink:bo...

8  2022-10-23 05:51:52.678404900-03:00  ...  dest_folder:str, foldersep:str='ǀ', symlink:bo...

9  2022-10-23 13:31:03.003835900-03:00  ...  dest_folder:str, foldersep:str='ǀ', symlink:bo...

10 2022-10-23 12:18:59.267762600-03:00  ...  dest_folder:str, foldersep:str='ǀ', symlink:bo...

11 2022-10-23 06:00:01.068658100-03:00  ...  dest_folder:str, foldersep:str='ǀ', symlink:bo...

12 2022-10-23 07:23:56.117463800-03:00  ...  dest_folder:str, foldersep:str='ǀ', symlink:bo...

13 2022-10-23 08:53:33.799414100-03:00  ...  dest_folder:str, foldersep:str='ǀ', symlink:bo...

14 2022-10-23 12:18:59.048534200-03:00  ...  dest_folder:str, foldersep:str='ǀ', symlink:bo...

[15 rows x 21 columns]