path-tree-generator 0.3.1

Creator: bradpython12

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Description:

pathtreegenerator 0.3.1

path-tree-generator
Generate tree-like directory listings for humans and output them as str, list[str], dict or json.
from path_tree_generator import PathTree

pt = PathTree('/my/path/to/generate')
print(
pt.human_readable()
)


:warning: This package is in Beta now and still under development! :warning:
Keep in mind that classes, methods and their signatures
might change anytime during development till the first official release 1.0.0.
The fist working version is released as path-tree-generator v0.1.0
and contains the most base implementations.
Issues and suggestions can be tracked on GitHub.

Table of Contents

Requirements
Usage

Installation
Example

Human Readable Path Tree
Path Tree dict
Path Tree json




Support
Contributing
License
Changelog
Known Issues

Requirements
Python 3.10+
path-tree-generator depends on the following packages:

Pydantic for data models and validation

Usage
Installation
pip install path-tree-generator

Examples
All example are using the same instance assigned to the variable pt as follows:
from path_tree_generator import PathTree

pt = PathTree('/my/path/to/generate')

Human Readable Path Tree
Using the PathTree instance pt from the Examples you can simply use one of the following method:
pt.human_readable()
pt.human_readable_list()

Both methods return a tree-like formatted recursive directory listing, either as string or as list of strings.
Directories are wrapped in square brackets, files aren't.
pt.human_readable() returns the directory listing as plain string (str) with line breaks.
[data]
├── data-with-stat.json
├── data.json
├── data.tree
├── [myDirectory-1]
│ ├── myFile.txt
│ └── [subdirectory]
│ └── green.gif
└── [myDirectory-2]
├── [subdirectory1]
│ └── green.gif
└── [subdirectory2]
├── myFile.txt
└── myFile2.txt

pt.human_readable_list() returns the directory listing as list of strings (list[str]).
[
'[data]',
'├── data-with-stat.json',
'├── data.json',
'├── data.tree',
'├── [myDirectory-1]',
'│ ├── myFile.txt',
'│ └── [subdirectory]',
'│ └── green.gif',
'└── [myDirectory-2]',
' ├── [subdirectory1]',
' │ └── green.gif',
' └── [subdirectory2]',
' ├── myFile.txt',
' └── myFile2.txt'
]

Path Tree dict
You can also get a dict representation of a retrieved PathTree, having some additional information like
the absolute or relative path of the file or directory and their stats like size, ctime, mode, uid and so on.
Using the PathTree instance pt from the Examples you can simply use the following method:
pt.dict()

The dict looks like as follows:
{
'entry_type': <ListEntryType.dir: 'dir'>,
'name': 'data',
'path': WindowsPath('.'),
'stat': {
'size': 10834,
'atime': 1657198698.2257857,
'ctime': 1656593062.5510206,
'mtime': 1657177629.2652764,
'gid': 0,
'mode': 16895,
'uid': 0
},
'children': [
{
'entry_type': <ListEntryType.file: 'file'>,
'name': 'data-with-stat.json',
'path': WindowsPath('data-with-stat.json'),
'stat': {
'size': 5774,
'atime': 1657198447.0669634,
'ctime': 1657177197.231495,
'mtime': 1657177629.2642767,
'gid': 0,
'mode': 33206,
'uid': 0
},
'children': None
},
[...]
]
}

Path Tree json
Last but not least you can get a json representation, with the same properties like the Path Tree dict.
Using the PathTree instance pt from the Examples you can simply use the following method:
pt.json()

The json output looks like as follows:
{
"entry_type": "dir",
"name": "data",
"path": ".",
"stat": {
"size": 10834,
"atime": 1657199261.7484741,
"ctime": 1656593062.5510206,
"mtime": 1657177629.2652764,
"gid": 0,
"mode": 16895,
"uid": 0
},
"children": [
{
"entry_type": "file",
"name": "data-with-stat.json",
"path": "data-with-stat.json",
"stat": {
"size": 5774,
"atime": 1657198447.0669634,
"ctime": 1657177197.231495,
"mtime": 1657177629.2642767,
"gid": 0,
"mode": 33206,
"uid": 0
},
"children": null
},
[...]
]
}

Support
If you're opening issues, please mention the version that the issue relates to.
Please further provide some sample code and also the expected output or behaviour.
Contributing
To contribute to this project, fork the repository, make your changes and create a pull request.
License
This project is licensed under the terms of the MIT license.
Changelog
All changes are documented on the GitHub Releases page.
Known Issues

Python version compatibility < v3.10 is not tested yet

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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