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An Intelligent file organizer module that reads your file storing pattern

Project description

1 Filezen

version readthedocs.org codecov build pypi license deepsource

An Intelligent file organizer module which reads your file storing pattern & move the cluttered files accordingly!

Author:

Abhinav Anand

1.1 What is it

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Let’s accept, no one likes to organize files on a regular basis. Even if you do, you wouldn’t want to do it everytime you download a new file.

Guess what! Filezen got you covered.

Given a folder of your cluttered/unorganized files, using Filezen, you can achieve the following

  • If you’ve never maintained specific directories for your files. Then Filezen's Basic Scanner can create suitable folders and organize your file into them.

  • If you already have a pattern of directories for storing different files. Then Filezen's Advanced Scanner can read your file storing pattern and move your files accordingly.

1.2 Features

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  • Advanced Scanning

  • Basic Scanning

  • Minimum dependencies ( just uses Pathlib if only you’re working with Python 2.x )

  • Easy to use

  • Fast!

  • Returns JSON objects

  • Support
    • OS Support: Linux, Windows, Mac

    • Language Support: Python 2.x, 3.x

1.3 Installation

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1.3.2 Option 2: Installing from source (Only if you must)

$ git clone https://github.com/ab-anand/Filezen.git
$ cd Filezen/
$ pip install -r requirements.txt
$ python setup.py install

Note: If you get permission denied then $ sudo python setup.py install should fix that

1.4 Usage

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1.4.1 Simple Scanner

  • Simple Scanner uses a predefined mapping of filetypes to folder.

  • Based on this mapping it creates directories and organizes files into them as shown in the above Fig.

  • Using Simple Scanner

>>> from filezen.simpleScanner import simplescanner as SSC
>>> scanner = SSC.SimpleScanner()
>>> input_directory = "/home/abhinav/Downloads"
>>> output_directory = "/home/abhinav/Documents"
>>> result = scanner.cleanDirectory(input_directory, outputPath=output_directory)
>>> print(result)
'{
    "Moved": [
        "FileA.pdf",
        "FileB.txt",
        "FileC.mp4",
        "FileD.log",
        "FileB.xyz"
    ],
    "NotMoved": [

    ]
}'
  • If no Output Directory is specified, then Simple Scanner would create folders in the Input Directory itself.

1.4.2 Advanced Scanner

  • Advanced Scanner maintains a heap for each filetype/file-extension it encounters while scanning the Output Directory.

  • With the help of this heap it finally decides the directory where a particular filetype has mostly occurred and thus moving the all such files into that directory.

  • As shown in the above image, Advanced Scanner scans the child directories also.

  • The level of child directories to scan is decided by depth parameter as shown in the example below.

  • By default, depth = 5

  • Using Advanced Scanner

>>> from filezen.advancedScanner import advancedscanner as ASC
>>> scanner = ASC.AdvancedScanner()
>>> input_directory = "/home/abhinav/Downloads"
>>> output_directory = "/home/abhinav/Documents"
>>> depth = 3
>>> result = scanner.cleanDirectory(input_directory, outputPath=output_directory, depth=depth)
>>> print(result)
'{
    "Moved": [
        "FileA.pdf",
        "FileB.txt",
        "FileC.mp4",
        "FileD.log",
        "FileE.xyz"
    ],
    "NotMoved": [

    ]
}'
  • If no Output Directory is specified, then Advanced Scanner would read the folders in the Input Directory itself and move accordingly.

Note: If a file with the same name is already present in the Output Directory then Filezen would ignore the file and leave it to the user. In the resulting JSON, you’ll get the all such filenames which were not moved in the NotMoved list.

1.4.3 Applications

  • KRETA - It is a command line application which uses Filezen to organize file.

1.5 Documentation

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For a detailed usage example, refer the documentation at Read the Docs

1.6 Contributing

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Please refer Contributing page for details

1.7 Bugs

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Please report the bugs at the issue tracker

1.8 License

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Built with ♥ by Abhinav Anand under the MIT License ©

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