Skip to main content

note taking simplified

Project description

nts

Note Taking Simplified

Overview

nts is pure python and will run on any platform that supports python >= 3.7.3. It runs in a terminal window that should be configured to use a fixed width (monospaced) font. Menlo Regular for OSX and DejaVu Sans Mono for Linux are good choices.

Notes are recorded in plain text files with the extension ".txt" that are located anywhere below the nts data directory. These note files have a simple format:

  • The first line of the note file must contain a note title line.

  • All note title lines must begin with a "+" in the first column followed by a space and then the title of the note.

  • Tags, if given, must be comma separated and enclosed in parentheses after the note title.

  • The note body begins on the next line and continues until another note title line or the end of the file is reached.

  • Lines that begin with one or more white space characters and then "+" are treated as part of the note body and not as the beginning of a new note.

  • White space in the note body is preserved but whitespace between notes is ignored.

  • Using spaces in directory and note file names should be avoided.

Suppose, e.g., that the nts data directory contains a single file

~/nts/data/parent/child/grandchild.txt

with this content:

---------------- grandchild.txt begins ---------------
+ note a (red, green)
    The body of note a goes here

+ note b (blue, green)
    The body of note b here

+ note c (red, blue)
    And the body of note c here
---------------- grandchild.txt ends -----------------

nts provides two main views of this data.

  • Path View:

      └── parent 1
          └── child 2
              └── grandchild.txt 3
                      + note a (red, green) 3-1
                      + note b (blue, green) 3-2
                      + note c (red, blue) 3-3
    
  • Tag View:

      ├── blue 1
      │       + note b (blue, green) 1-1
      │       + note c (red, blue) 1-2
      ├── green 2
      │       + note a (red, green) 2-1
      │       + note b (blue, green) 2-2
      └── red 3
              + note a (red, green) 3-1
              + note c (red, blue) 3-2
    

Both views are outlines with branches that end with note title lines. In path view, the nodes along the branches correspond to directory or file names and there can be many of these in each branch. In tag view, on the other hand, the nodes correspond to tag names and there can only be one of these in each branch.

The numeric identifiers appended to the lines in both views are provided by nts. These are single numbers for the nodes in the outline branches that have children and hyphenated numbers for the leaves, e.g., the "3" appended to the "grandchild.txt" node in the path view and the "2-1" appended to "+ note a (red, green)" in the tag view. The first of the two numbers in the leaf identifier is the indentifier of the parent node. These identifiers are used in various ways that are explained below.

Usage

nts provides two ways of interacting with the data.

  • Command mode

    Commands are entered at the terminal prompt. E.g., enter

      $ nts -v p
    

    to display the path view in the terminal window. The output can also be piped in the standard way, e.g.,

      $ nts -v p | less
    
  • Session mode

    Use the -s argument to begin session mode:

      $ nts -s
    

    This begins a session in which data is loaded into memory and remains available for subsequent interaction. In this mode, nts assumes command of the terminal window and provides its own > command prompt. Then, e.g., entering p at the prompt

      > p
    

    would display the path view. Session mode adds several features not available in command mode. E.g., when there are more lines to display than will fit in the terminal window, the lines are divided into pages with up and down cursor keys used to change pages.

Command Summary

Action Command Mode Session Mode Notes
help -h h or ? ~
begin session -s ~ ~
end session ~ q ~
path view -v p p ~
tags view -v t t ~
hide notes -n n 1
hide nodes -N N 2
set max levels -m MAX m MAX 3
highlight REGEX / REGEX 4
find REGEX -f REGEX f REGEX 5
inspect IDENT -i IDENT i IDENT 6
back ~ b 7
edit IDENT -e IDENT e IDENT 8
add to IDENT -a IDENT a IDENT 9
update check -u u 10
  1. Suppress showing notes in the outline. In session mode this toggles the display of notes off and on.
  2. Suppress showing nodes in the outline, i.e., display only the notes. In session mode this toggles the display of the nodes off and on.
  3. Limit the diplay of nodes in the outline to the integer MAX levels. Use MAX = 0 to display all levels.
  4. Highlight displayed lines that contain a match for the case-insensitive regular expression REGEX. Enter an empty REGEX to clear highlighting.
  5. Display complete notes that contain a match in the title, tags or body for the case-insensitive regular expression REGEX.
  6. If IDENT is the 2-number identifier for a note, then display the contents of that note. Else if IDENT is the identifier for a ".txt" file, then display the contents of that file. Otherwise limit the display to that part of the outline which starts from the corresponding node.
  7. In session mode, switch back and forth between the two most recent displays.
  8. If IDENT corresponds to either a note or a ".txt" file, then open that file for editing and, in the case of a note, scroll to the beginning line of the note.
  9. If IDENT corresponds to either a note or a ".txt" file, then open that file for appending a new note. Otherwise, if IDENT corresponds to a directory, then prompt for the name of a child to add to that node. If the name entered ends with ".txt", a new note file will be created and opened for editing. Otherwise, a new subdirectory will be added to the node directory using the name provided. Use "0" as the IDENT to add to the root (data) node.
  10. Compare the installed version of nts with the latest version on GitHub (requires internet connection) and report the result.

There are no commands in nts to remove either a file or a directory. Please use your favorite file manager for these risky actions and don't forget to restart nts to update its display.

Configuration

Before you start nts for the first time, think about where you would like to keep your personal data files and any log files that nts will create. This will be your nts home directory. The nts configuration file, "cfg.yaml" will be placed in this directory as well as the data and log files in the subdirectories data and logs, respectively.

The default is to use whatever directory you're in when you start nts as the home directory either 1) if it is empty (unused so far) or 2) if it contains subdirectories called "data" and "logs" or 3) if it contains a file called "cfg.yaml" and a subdirectory called "logs". To use this option just change to this directory before starting nts.

Alternatively, if the current working directory doesn't satisfy the requirments but there is an environmental variable, NTSHOME, that contains the path to an existing directory, then nts will use this as its home directory. To use this option, first create the directory and then set the enivonmental variable by, e.g., appending the following to your "~/.bash_profile":

	export NTSHOME="complete path to the nts home directory"

Finally, if neither of the previous alternatives are satisfied, then nts will use "~/nts" as its home directory, creating this directory if necessary.

The nts "data" and "logs" directories will be created if necessary as well as the nts configuration file, "cfg.yaml" using default settings. If "data" needs to be created, the user will additionally be offered the opportunity to populate it with the data for the grandchild.txt example discussed above. Here are the default contents of this file:

##################### IMPORTANT #############################
#
# Changes to this file only take effect when nts is restarted.
#
#############################################################
#
##################        EDIT      #########################
# The following are examples using the editor vim
# To use the native version of vim under Mac OSX, replace
# 'vim' with '/Applications/MacVim.app/Contents/MacOS/Vim'
# in each of the following commands. Omit the '-g' argument
# to open vim in the same _nts_ terminal window.
#
# edit {filepath} at {linenum} - wait for completion
session_edit: vim -g -f +{linenum} {filepath}
#
# edit {filepath} at end of file - wait for completion
session_add: vim -g -f + {filepath}
#
# edit {filepath} at {linenum} - do not wait for completion
command_edit: vim -g +{linenum} {filepath}
#
# edit {filepath} at end of file - do not wait for completion
command_add: vim -g + {filepath}
#
##################        STYLE        ######################
# style hex colors for plain, prompt and highlight
style:
	plain:        '#FFFAFA'
	prompt:       '#FFF68F'
	message:      '#90C57F'
	highlight:    'bg:#FFF68F #000000'
#
##################      TAG SORT       ######################
# for listed keys, sort by the corresponding value. E.g. In
# tag view items with the tag "now" will be sorted as if
# they had the tag "!". Replace the keys and values with
# whatever you find convenient
tag_sort:
	now:        '!'
	next:       '#'
	delegated:  '$'
	someday:    '}'
	completed:  '~'

Organizing with Paths and Tags

Here are a few organizational ideas that have helped me. First, a reference section for all the stuff I want to remember, but usually can't:

    └── reference
        ├── entertainment
        │   ├── books.txt
        │   ├── movies.txt
        │   └── quotations.txt
        └── programming
            ├── markdown.txt
            ├── python.txt
            └── vim.txt

Then a journal section for monthly notes

    └── journal
        ├── 2021
        │   ├── 10.txt
        │   ├── 11.txt
        │   └── 12.txt
        └── 2022
            ├── 01.txt
            ├── 02.txt
            └── 03.txt

and another for my projects

    └── projects
        ├── etm
        │   ├── advocacy.txt
        │   ├── bugs.txt
        │   └── ideas.txt
        └── nts
            ├── advocacy.txt
            ├── bugs.txt
            └── ideas.txt

For tags, the GTD (Getting Things Done) classifiers are useful:

now : action required as soon as possible

next : action needed when time permits

delegated NAME : assigned to NAME for action but follow up still required

someday : review from time to time for possible action

completed : finished and kept for reference

In the default configuration file, shown above, these tags are listed for special treatment.

	tag_sort:
		now:        '!'
		next:       '#'
		delegated:  '$'
		someday:    '}'
		completed:  '~'

This means that tag view will be sorted so that items with the tag "now" will be sorted as if the tag were "!", items with the tag "next" as if the tag were "#" and so forth. Tags not listed in tag_sort are sorted using the actual tag. Since the dictionary order for common keyboard characters in python is

'!', '#', '$', '%', '&', '(', ')', '*', '+', '-', '/',
'1', '2', '3', ';', '<', '=', '>', '?', '@', 'A', 'B', 'C',
'[', ']', '^', '_', 'a', 'b', 'c', '{', '}', '~'

"now" will appear first, "next" second, "delegated" third and then "someday" and "completed" last. "delegated" tags will be further sorted by the accompanying NAME. Tags not listed in tag_sort will appear in the normal dictionary order.

To illustrate tag sorting with the default configuration, if the content of "grandchild.txt" were expanded to:

---------------- grandchild.txt begins ---------------
+ note a (red, green)
	The body of note a goes here

+ note b (blue, green)
	The body of note b goes here

+ note c (red, blue)
	And the body of note c goes here

+ action required as soon as possible (now)
	The body of as soon as possible goes here

+ action needed when time permits (next)
	The body of when time permits action goes here

+ assigned to joe for action (delegated joe)
	The body of assigned to joe goes here

+ assigned to bob for action (delegated bob)
	The body of assigned to bob goes goes here

+ review from time to time for action (someday)
	The body of review goes here

+ finished but kept for reference (completed)
	The body of finished goes here
---------------- grandchild.txt ends -----------------

then Tag View would appear as:

├── now 1
│       + action required as soon as possible (now) 1-1
├── next 2
│       + action needed when time permits (next) 2-1
├── delegated bob 3
│       + assigned to bob for action (delegated bob) 3-1
├── delegated joe 4
│       + assigned to joe for action (delegated joe) 4-1
├── blue 5
│       + note b (blue, green) 5-1
│       + note c (red, blue) 5-2
├── green 6
│       + note a (red, green) 6-1
│       + note b (blue, green) 6-2
├── red 7
│       + note a (red, green) 7-1
│       + note c (red, blue) 7-2
├── someday 8
│       + review from time to time for action (someday) 8-1
└── completed 9
		+ finished but kept for reference (completed) 9-1

One of the nice things about tags is that they are so easy to change. When you've taken care of a "now" item, e.g., just change the tag to "completed".

Other ideas for tags from GTD involve contexts such as home, office, shop, phone, internet, driving and so forth.

Installation

For use in a virtual environment

The steps for OS/X or linux are illustrated below. For details see python-virtual-environments-a-primer.

Open a terminal and begin by creating a new directory/folder for the virtual environment, say nts-pypi, in your home directory:

$ mkdir ~/nts-pypi
$ cd ~/nts-pypi

Now continue by creating the virtual environment (python >= 3.7.3 is required for nts):

$ python3 -m venv env

After a few seconds you will have an ./env directory. Now activate the virtual environment:

$ source env/bin/activate

The prompt will now change to something containing (env) to indicate that the virtual environment is active. Updating pip is now recommended:

(env) $ pip install -U pip

Note that this invokes ./env/bin/pip. Once this is finished, use pip to install nts:

(env) $ pip install -U nts-dgraham

This will install nts and all its requirements in

./env/lib/python3.x/sitepackages

and will also install an executable called nts in ./env/bin.You can then start nts using

(env) nts ARGS

using ARGS enumerated in the Command Summary section above.

For use system wide

If your system allows you to run sudo and you want general access system wide, then you could instead install nts using

$ sudo -H python3.x -m pip install -U nts-dgraham

replacing the 3.x with the verion of python you want to use, e.g., 3.7. This would put nts in your path (in the bin directory for python3.7).

You can then open a terminal and start nts using

$ nts ARGS

using ARGS enumerated in the Command Summary section above.

License

Copyright (c) 2010-2022 Daniel Graham daniel.graham@duke.edu. All rights reserved. Further information about nts is available at github, the nts discussion group at groups.io and, of course, from PyPI.

This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but without any warranty; without even the implied warranty of merchantability or fitness for a particular purpose. See GNU General Public License for more details.

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

nts-dgraham-1.0.11.tar.gz (27.2 kB view details)

Uploaded Source

Built Distribution

nts_dgraham-1.0.11-py2.py3-none-any.whl (33.0 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file nts-dgraham-1.0.11.tar.gz.

File metadata

  • Download URL: nts-dgraham-1.0.11.tar.gz
  • Upload date:
  • Size: 27.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.9

File hashes

Hashes for nts-dgraham-1.0.11.tar.gz
Algorithm Hash digest
SHA256 f1394eb1acaed3203645c6ec08ebc1edc6f5d5644a03c570f3c79dfff8161b42
MD5 5ea3516ab605e7dfb83255f266944021
BLAKE2b-256 a6b5b117f1ef8b360a066a89abfa945997617bd442cfc8aa88343adc27f1af6d

See more details on using hashes here.

File details

Details for the file nts_dgraham-1.0.11-py2.py3-none-any.whl.

File metadata

  • Download URL: nts_dgraham-1.0.11-py2.py3-none-any.whl
  • Upload date:
  • Size: 33.0 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.9

File hashes

Hashes for nts_dgraham-1.0.11-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 bdc531cc4eb13880182c43e99ec51d9921843ea053c5610986e11236c1c4b848
MD5 50760e84e59cada3420b213966fd3d29
BLAKE2b-256 6b52d0c587d74e654a7f11619b3b23c29be4cbac4288e986a04503de737ccc7a

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