Skip to main content

File Manager for the Johnny Decimal System

Project description

PyPI version PyPI - Python Version Tests codecov

jdfile

jdfile cleans and normalizes filenames. In addition, if you have directories which follow the Johnny Decimal, jdfile can move your files into the appropriate directory.

jdfile cleans filenames based on your preferences.

  • Remove special characters
  • Trim multiple separators (word----word becomes word-word)
  • Normalize to lower case, upper case, sentence case, or title case
  • Normalize all files to a common word separator (_, -, )
  • Enforce lowercase file extensions
  • Remove common English stopwords
  • Split camelCase words into separate words (camel Case)
  • Parse the filename for a date in many different formats
  • Remove or reformat the date and add it to the the beginning of the filename
  • Avoid overwriting files by adding a unique integer when renaming/moving
  • Clean entire directory trees
  • Optionally, show previews of changes to be made before committing
  • Ignore files listed in a config file by filename or by regex
  • Specify casing for words which should never be changed (ie. iMac will never be re-cased)

jdfile can organize your files into folders.

  • Move files into directory trees following the Johnny Decimal system
  • Parse files and folder names looking for matching terms
  • Uses nltk to lookup synonyms to improve matching
  • Add .jdfile files to directories containing a list of words that will match files

Why build this?

It's nearly impossible to file away documents with normalized names when everyone has a different convention for naming files. On any given day, tons of files are attached to emails or sent via Slack by people who have their won way of naming files. For example:

  • department 2023 financials and budget 08232002.xlsx
  • some contract Jan7 reviewed NOT FINAL (NL comments) v13.docx
  • John&Jane-meeting-notes.txt
  • Project_mockups(WIP)___sep92022.pdf
  • FIRSTNAMElastname Resume (#1) [companyname].PDF
  • code_to_review.js

If you are a person who archives documents there are a number of problems with these files.

  • No self-evident way to organize them into folders
  • No common patterns to search for
  • Dates all over the place or nonexistent
  • No consistent casing
  • No consistent word separators
  • Special characters within text
  • I could go on and on...

Additionally, even if the filenames were normalized, filing documents manually is a pain.

jdfile is created to solve for these problems by providing an easy CLI to normalize the filename and organize it into an appropriate directory on your computer.

Install

jdfile requires Python v3.10 or above

pip install jdfile

Usage

Run jdfile --help for usage

Configuration

To organize files into folders, a valid toml configuration file is required at ~/.config/jdfile/config.toml or your XDG_CONFIG_HOME if set.

# Clean special characters, normalize word separators, remove stopwords, based on your preferences.
clean_filenames = true

# An optional date format. If specified, the date will be appended to the filename
# See https://docs.python.org/3/library/datetime.html#strftime-and-strptime-format-codes for details on how to specify a date.
date_format = "%Y-%m-%d"

# Format dates in filenames. true or false
format_dates = true

# Ignores dotfiles (files that start with a period) when cleaning a directory.  true or false
ignore_dotfiles = true

# List of file names to ignore when processing entire directories.
ignored_files = ['file1.txt', 'file2.txt']

# File names matching this regex will be skipped.
ignore_file_regex = ''

# Force the casing of certain words. Great for acronyms or proper nouns.
match_case_list = ["iMac", "iPhone"]

# Overwrite existing files. true or false. If false, unique integers will be appended to the filename.
overwrite_existing = false

# Separator to use between words. Options: "ignore", "underscore", "space", "dash", "none"
separator = "ignore"

# Split CamelCase words into separate words. true or false
split_words = false

# List of project specific stopwords to be stripped from filenames
stopwords = []

# Strip stopwords from filenames. true or false
strip_stopwords = true

# Transform case of filenames.
# Options: "lower", "upper", "title", "CamelCase", "sentence", "ignore",
transform_case = "ignore"

# Use the nltk wordnet corpus to find synonyms for words in filenames. true or false
# Note, this will download a large corpus (~400mb) the first time it is run.
use_synonyms = false

# USAGE: To create more projects, duplicate the [project_name] section below

[projects]
    [projects.project_name] # The name of the project is used as a command line option. (e.g. --project=project_name)

        # (Required) Path to the folder containing the Johnny Decimal project
        path = "~/johnnydecimal"

        # (Required) Options: "jd" for Johnny Decimal, "folder" for a folder structure
        project_type = "jd"

        # (Optional) The depth of folders to parse. Ignored for Johnny Decimal projects. Default is 2
        project_depth = 4

        # Any duplicated default values can be overridden here on a per project basis

Example usage

# Normalize all files in a directory to lowercase, with underscore separators
$ jdfile --case=lower --separator=underscore /path/to/directory

# Clean all files in a directory and confirm all changes before committing them
$ jdfile --clean /path/to/directory

# Strip common English stopwords from all files in a directory
$ jdfile --stopwords /path/to/directory

# Transform a date and add it to the filename
$ jdfile --date-format="%Y-%m-%d" ./somefile_march 3rd, 2022.txt

# Print a tree representation of a Johnny Decimal project
$ jdfile --project=[project_name] --tree

# Use the settings of a project in the config file to clean filenames without
# organizing them into folders
$ jdfile --project=[project_name] --no-organize path/to/some_file.jpg

# Organize files into a Johnny Decimal project with specified terms with title casing
$ jdfile ---project=[project_name] --term=term1 --term=term2 path/to/some_file.jpg

Tips

Adding custom functions to your .bashrc or .zshrc can save time and ensure your filename preferences are always used.

# ~/.bashrc
if command -v jdfile &>/dev/null; then

    clean() {
        # DESC:	 Clean filenames using the jdfile package
        if [[ $1 == "--help" || $1 == "-h" ]]; then
            jdfile --help
        else
            jdfile --sep=space --case=title --confirm "$@"
        fi
    }

    wfile() {
        # DESC:	 File work documents
        if [[ $1 == "--help" || $1 == "-h" ]]; then
            jdfile --help
        else
            jdfile --project=work "$@"
        fi
    }
fi

Caveats

jdfile is built for my own personal use. YMMV depending on your system and requirements. I make no warranties for any data loss that may result from use. I strongly recommend running in --dry-run mode prior to updating files.

Contributing

Setup

  1. Install uv
  2. Clone this repository git clone https://github.com/natelandau/jdfile.git
  3. Install dependencies uv sync
  4. Activate pre-commit hooks uv run pre-commit install

Development

  • Run the development version of the project uv run jdfile
  • Run tests uv run poe test
  • Run linting uv run poe lint
  • Enter the virtual environment with source .venv/bin/activate
  • Add or remove dependencies with uv add/remove <package>
  • Upgrade dependencies with uv run poe upgrade

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

jdfile-2.0.0.tar.gz (110.0 kB view details)

Uploaded Source

Built Distribution

jdfile-2.0.0-py3-none-any.whl (59.8 kB view details)

Uploaded Python 3

File details

Details for the file jdfile-2.0.0.tar.gz.

File metadata

  • Download URL: jdfile-2.0.0.tar.gz
  • Upload date:
  • Size: 110.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.10

File hashes

Hashes for jdfile-2.0.0.tar.gz
Algorithm Hash digest
SHA256 7c9cddc5e7998659890b5eeba00a2c68176d5fdb055b8bccbd09f9cce4a2331f
MD5 1fa3e12d96b95dc463e2db3f0609dc28
BLAKE2b-256 cd3bd4c094fb8cc84bbee548898a0fe12968edb7b28b7eaed87f0e082e62570c

See more details on using hashes here.

File details

Details for the file jdfile-2.0.0-py3-none-any.whl.

File metadata

  • Download URL: jdfile-2.0.0-py3-none-any.whl
  • Upload date:
  • Size: 59.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.10

File hashes

Hashes for jdfile-2.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 10b353ebc25c5ea961c180b5a14b6f3f3009764d09f238d006464c62b1e4e884
MD5 023f71b471cc8bb34aedcda139939ca0
BLAKE2b-256 090cd740a461eebd406c8a067ac4bb1a9cb4be24aadb7f911cf0605443815476

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page