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https://github.com/liskin/arbtt-chart
Plot charts from arbtt-stats to terminal
https://github.com/liskin/arbtt-chart
arbtt liskin-cookiecutter-python-cli pandas python terminal
Last synced: 2 months ago
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Plot charts from arbtt-stats to terminal
- Host: GitHub
- URL: https://github.com/liskin/arbtt-chart
- Owner: liskin
- License: mit
- Created: 2021-03-03T10:23:04.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2024-06-16T21:36:45.000Z (6 months ago)
- Last Synced: 2024-09-17T07:50:29.487Z (3 months ago)
- Topics: arbtt, liskin-cookiecutter-python-cli, pandas, python, terminal
- Language: Python
- Homepage:
- Size: 103 KB
- Stars: 17
- Watchers: 3
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
README
# arbtt-chart
[](https://pypi.org/project/arbtt-chart/)
[](https://pypi.org/project/arbtt-chart/)
## Overview
**Textual chart for [arbtt][], the automatic, rule-based time tracker.**
Similar to [arbtt-graph][], just in plain monospace text.
(The above screenshot is generated using my [liskin-arbtt-stats][] which
provides a few handy commands and combines data from multiple X sessions and
Strava.)
Raw `arbtt-stats` output for the same time period looks something like this:
[arbtt]: http://arbtt.nomeata.de/
[arbtt-graph]: https://github.com/rejuvyesh/arbtt-graph
[liskin-arbtt-stats]: https://github.com/liskin/dotfiles/blob/home/bin/liskin-arbtt-stats
## Getting started
1. [Install arbtt](http://arbtt.nomeata.de/#install) and make sure
`arbtt-capture` runs in your graphical login session.
2. Configure arbtt rules in `~/.arbtt/categorize.cfg`.
See [Configuring the arbtt categorizer][], [Effective Use of Arbtt][], and
[sample categorize.cfg for arbtt-graph][].
3. [Install arbtt-chart](#installation).
4. Try `arbtt-stats --output-format=csv --each-category | arbtt-chart` or
`arbtt-stats --output-format=csv --category=Graph | arbtt-chart`
[Configuring the arbtt categorizer]: http://arbtt.nomeata.de/doc/users_guide/configuration.html
[Effective Use of Arbtt]: http://arbtt.nomeata.de/doc/users_guide/effective-use.html
[sample categorize.cfg for arbtt-graph]: https://github.com/rejuvyesh/arbtt-graph/blob/master/categorize.cfg
## Installation
Using [pipx][]:
```
pipx ensurepath
pipx install arbtt-chart
```
To keep a local git clone around:
```
git clone https://github.com/liskin/arbtt-chart
make -C arbtt-chart pipx
```
Alternatively, if you don't need the isolated virtualenv that [pipx][]
provides, feel free to just:
```
pip install arbtt-chart
```
Or, since the only dependency is [pandas][], you can just `sudo apt install
python3-pandas` and run `arbtt_chart.py` directly. :-)
[pipx]: https://github.com/pypa/pipx
[pandas]: https://pandas.pydata.org/
## Usage
$ arbtt-chart --help
usage: arbtt-chart [-h] [--no-stacked] [--subtags] [--totals-re RE]
Plot charts from arbtt-stats to terminal. Expects `arbtt-stats --output-
format=csv --category=…` or `arbtt-stats --output-format=csv --each-category`
output on stdin.
options:
-h, --help show this help message and exit
--no-stacked don't stack bar chart
--subtags recognize subtags (separated by '-') and sort them together
--totals-re RE totals row regexp, default: ^\(total time\)$
## Examples
### single category
```
$ arbtt-stats --filter='$date >= 2021-03-0220:00 && $date < 2021-03-0303:00' \
> --min-percentage=2 --category=Activity --output-format=csv \
> | arbtt-chart
Activity
════════
Proj-arbttⁱ 03:11:40 ███████████▓██████████▓██████████▓██▏········÷···
Chat 00:30:20 ···········÷··········÷··········÷··█████▊···÷···
(8 entries omitted) 00:15:40 ···········÷··········÷··········÷·······▕██▊÷···
Web-Social 00:08:20 ···········÷··········÷··········÷··········▐▓▏··
Web-otherⁱ 00:06:40 ···········÷··········÷··········÷···········÷█▍·
Web-HN 00:06:20 ···········÷··········÷··········÷···········÷·▐▊
(unmatched time) 00:01:20 ···········÷··········÷··········÷···········÷··▕
(total time) 04:20:20 ███████████▓██████████▓██████████▓███████████▓███
```
### single category, subtags
```
$ arbtt-stats --filter='$date >= 2021-03-0220:00 && $date < 2021-03-0303:00' \
> --min-percentage=2 --category=Activity --output-format=csv \
> | arbtt-chart --subtags
Activity
════════
Proj arbttⁱ 03:11:40 █████████▓█████████▓█████████▓█·······÷···
Chat 00:30:20 ·········÷·········÷·········÷▕████▊··÷···
Web Social 00:08:20 ·········÷·········÷·········÷·····▕█▏÷···
otherⁱ 00:06:40 ·········÷·········÷·········÷·······█▏···
HN 00:06:20 ·········÷·········÷·········÷········▓▏··
(8 entries omitted) 00:15:40 ·········÷·········÷·········÷········÷██▋
(unmatched time) 00:01:20 ·········÷·········÷·········÷········÷··▕
(total time) 04:20:20 █████████▓█████████▓█████████▓████████▓███
```
### multiple categories
```
$ arbtt-stats --filter='$date >= 2021-03-0220:00 && $date < 2021-03-0303:00' \
> --min-percentage=2 --each-category --output-format=csv \
> | arbtt-chart
Activity
════════
Proj-arbttⁱ 03:11:40 ███████████▓██████████▓██████████▓██▏········÷···
Chat 00:30:20 ···········÷··········÷··········÷··█████▊···÷···
(8 entries omitted) 00:15:40 ···········÷··········÷··········÷·······▕██▊÷···
Web-Social 00:08:20 ···········÷··········÷··········÷··········▐▓▏··
Web-otherⁱ 00:06:40 ···········÷··········÷··········÷···········÷█▍·
Web-HN 00:06:20 ···········÷··········÷··········÷···········÷·▐▊
(unmatched time) 00:01:20 ···········÷··········÷··········÷···········÷··▕
(total time) 04:20:20 ███████████▓██████████▓██████████▓███████████▓███
Desktop
═══════
4_arbtt 02:21:40 ███████████▓██████████▓███▊······÷···········÷···
6_arbtt_web 00:50:20 ···········÷··········÷···▐██████▓██·········÷···
1_irc 00:34:00 ···········÷··········÷··········÷··██████▌··÷···
2_web 00:34:00 ···········÷··········÷··········÷········▐██▓███
(1 entries omitted) 00:00:20 ···········÷··········÷··········÷···········÷··▕
(total time) 04:20:20 ███████████▓██████████▓██████████▓███████████▓███
Program
═══════
urxvt 02:38:00 ███████████▓██████████▓██████▊···÷···········÷···
google-chrome 01:21:40 ···········÷··········÷······▐███▓██████████▉÷···
app_element_io 00:14:40 ···········÷··········÷··········÷···········▓█▉·
(3 entries omitted) 00:06:00 ···········÷··········÷··········÷···········÷·▕█
(total time) 04:20:20 ███████████▓██████████▓██████████▓███████████▓███
```
### custom inputs
$ arbtt-chart --totals-re='^\(' < Tag,Time
> Act:Work,02:30:00
> Act:Social,01:20:00
> Act:Mail,00:20:00
> Act:Movie,01:30:00
> (screen),05:40:00
>
> Tag,Time
> Act:Sport,3600
> Act:Commute,1800
> (outside),5400
> END
Act
═══
Work 02:30:00 ████████▓███████▓███▋···÷·······÷········÷·······÷·······÷·
Movie 01:30:00 ········÷·······÷···▐███▓███████▉········÷·······÷·······÷·
Social 01:20:00 ········÷·······÷·······÷·······▕████████▓█▊·····÷·······÷·
Sport 01:00:00 ········÷·······÷·······÷·······÷········÷·▕█████▓██·····÷·
Commute 00:30:00 ········÷·······÷·······÷·······÷········÷·······÷··████▏÷·
Mail 00:20:00 ········÷·······÷·······÷·······÷········÷·······÷······█▓▊
(screen) 05:40:00 ████████▓███████▓███████▓███████▓████████▓████▊··÷·······÷·
(outside) 01:30:00 ████████▓███▍···÷·······÷·······÷········÷·······÷·······÷·
### custom inputs, multiple tables at same scale
$ arbtt-chart < Tag,Time
> Screen:Work,02:30:00
> Screen:Social,01:20:00
> Screen:Mail,00:20:00
> Screen:Movie,01:30:00
> (total time),05:40:00
>
> Tag,Time
> Outside:Sport,3600
> Outside:Commute,1800
> (total time),5400
> END
Screen
══════
Work 02:30:00 █████████▓█████████▓████▊····÷·········÷·········÷······
Movie 01:30:00 ·········÷·········÷····▐████▓█████████▍·········÷······
Social 01:20:00 ·········÷·········÷·········÷·········▐█████████▓██▊···
Mail 00:20:00 ·········÷·········÷·········÷·········÷·········÷··▐██▉
(total time) 05:40:00 █████████▓█████████▓█████████▓█████████▓█████████▓██████
Outside
═══════
Sport 01:00:00 █████████▓·········÷·········÷·········÷·········÷······
Commute 00:30:00 ·········▕████▊····÷·········÷·········÷·········÷······
(total time) 01:30:00 █████████▓████▉····÷·········÷·········÷·········÷······
## Contributing
### Code
We welcome bug fixes, (reasonable) new features, documentation improvements,
and more. Submit these as GitHub pull requests. Use GitHub issues to report
bugs and discuss non-trivial code improvements; alternatively, get in touch
via [IRC/Matrix/Fediverse](https://work.lisk.in/contact/).
See [CONTRIBUTING.md](CONTRIBUTING.md) for more details about the code base
(including running tests locally).
Note that this project was born out of a desire to solve a problem I was
facing. While I'm excited to share it with the world, keep in mind that I'll
be prioritizing features and bug fixes that align with my personal use cases.
There may be times when I'm busy with other commitments and replies to
contributions might be delayed, or even occasionally missed. Progress may come
in bursts. Adjust your expectations accordingly.