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https://github.com/rejuvyesh/arbtt-graph
Plot graphs from arbtt-stats
https://github.com/rejuvyesh/arbtt-graph
Last synced: 21 days ago
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Plot graphs from arbtt-stats
- Host: GitHub
- URL: https://github.com/rejuvyesh/arbtt-graph
- Owner: rejuvyesh
- License: mit
- Created: 2014-12-01T16:57:28.000Z (almost 10 years ago)
- Default Branch: master
- Last Pushed: 2023-03-29T06:58:26.000Z (over 1 year ago)
- Last Synced: 2024-10-13T19:31:22.838Z (about 1 month ago)
- Language: JavaScript
- Homepage: http://rejuvyesh.com/dailystats
- Size: 315 KB
- Stars: 72
- Watchers: 8
- Forks: 13
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
arbtt-graph
===========
## arbtt - Automatic Rule Based Time Tracker
**Note: Requires `arbtt-stats` version 0.9, since it has `for-each=minute`, which is required for the barcode chart to work.**
I love [arbtt](http://arbtt.nomeata.de/). Just remember to add `arbtt-capture` to your startup applications and let it record active windows in the background. Then you can use `arbtt-stats` to categorize recorded data. For example, running `arbtt-stats` with the included `categorize.cfg` file:
```sh
$ arbtt-stats --categorizefile=./categorize.cfg -c Graph
Statistics for category "Graph"
===============================
________________Tag_|_________Time_|_Percentage_
Graph:social | 10d01h18m00s | 11.23
Graph:mail | 9d04h08m00s | 10.25
Graph:read-pdf | 6d23h17m00s | 7.79
Graph:term | 6d17h47m00s | 7.53
Graph:irc | 2d16h47m00s | 3.02
Graph:tv-local | 2d08h28m00s | 2.63
Graph:communities | 2d05h19m00s | 2.48
Graph:write | 1d17h06m00s | 1.91
(9 entries omitted) | 3d15h44m00s | 4.08
(unmatched time) | 43d22h02m00s | 49.07
```
It is pretty cool. But you would agree that colored graphs are much more striking than a plain ascii table? So taking a few ideas from [karpathy's](https://github.com/karpathy/) [ulogme](https://github.com/karpathy/ulogme), I wrote this tool to plot my daily stats as logged by `arbtt-capture`.
## Getting Started
### Start recording
1. Install [`arbtt`](http://arbtt.nomeata.de/#install). Run `arbtt-capture` at startup.
2. Probably let it run for some time to have some data.
### Using arbtt-graph
1. Clone/download this repository.
2. Have a look at the `categorize.cfg` file. Add similar categories to your `categorize.cfg` file. (Usually at `~/.arbtt/categorize.cfg`).
3. **Important:** Modify path of the file in `update`.
4. **Important:** Accordingly modify `render/settings.js` for barcode categories.
5. Once everything is set up, run `update` once.
6. Now you can run `./arbtt-serve.py` (or `python3 arbtt-serve.py`) and go to the displayed address. (Default: <`http://localhost:9999`>)
7. You can refresh anytime using the reload button to the right.
## Structure
All html/js UI is inside the `render` folder. Also no information other than the percentage usage is inside the `json` files, so you can even make the plots public for extra extrinsic motivation. :smile:
Suggestions and pull requests are always welcome.
## Thanks
- [Joachim Breitner](https://github.com/nomeata) for `arbtt` and numerous suggestions.
- [Andrej Karpathy](https://github.com/karpathy/) for `ulogme`.
## See also
- [arbtt-chart](https://github.com/liskin/arbtt-chart) is a console alternative to arbtt-graph
> ## Happy tracking!