filenumutils 0.1.2

Python tools to find last file/folder number in a int indexed file/folder with specified extension, prefix and/or suffix. Also allows to create next folder, e.g if dir contains train_00 and train_01, it creates train_02

filenumutils

Python tools to find last file/folder number in a int indexed file/folder with specified extension, prefix and/or suffix. Also allows to get/create next folder, e.g if dir contains train_00 and train_01, it creates train_02.

Installation

Simply install using pip

pip install filenumutils

Usage

Assuming the current working directory has the following structure

current_dir ├─ train_00 ├─ train_01 ├─ train_03 ├─ train_04 ├─ model_00.py ├─ model_01.py └─ model_02.py

Get Last Folder / File Number

from filenumutils import get_last_folder_number, get_last_file_number
get_last_folder_number(prefix="model_")       # Output: 4
get_last_file_number(prefix="train_")         # Output: 2

If no such file/folder with given prefix exists, it outputs -1

Get Next Folder / File Name

from filenumutils import get_next_file, get_next_folder
get_next_file(prefix="model_")                      # Output: model_03.py
get_next_folder(prefix="test_")                     # Output: test_00
get_next_folder(prefix="train_", create=True)       # Output: train_05 (Folder is created)

If no such folder with given prefix exists, it outputs prefix_00.

Also, it will automatically stick to the existing numbering pattern. For eg, if the folders were [train_0000, train_0001],

get_next_folder(prefix="train_", create=True)       # Output: train_0000 (Folder is created)

More Options

Attribute	Default	Description
path	Current Directory	Do operations in the given directory
prefix	""	Match only files with given prefix
suffix	""	Match only files with given extension/suffix
default_number_width	2	When no numbering pattern is found, output number will be default_number_width digits
full_path	True	By default, returns new_folder_name. If True, returns path/new_folder_name.

Contributing

Pull requests are very welcome.

1. Fork the repo
2. Create new branch with feature name as branch name
3. Check if things work with a jupyter notebook
4. Raise a pull request

Licence

Please see attached Licence