A library that generates an interactive radar, inspired by thoughtworks.com/radar.
You can see this in action at https://radar.thoughtworks.com. If you plug in this data you'll see this visualization.
The easiest way to use the app out of the box is to provide a public Google Sheet ID from which all the data will be fetched. You can enter that ID into the input field on the first page of the application, and your radar will be generated. The data must conform to the format below for the radar to be generated correctly.
You need to make your data public in a form we can digest.
Create a Google Sheet. Give it at least the below column headers, and put in the content that you want:
| name | ring | quadrant | isNew | description |
|---|---|---|---|---|
| Composer | adopt | tools | TRUE | Although the idea of dependency management ... |
| Canary builds | trial | techniques | FALSE | Many projects have external code dependencies ... |
| Apache Kylin | assess | platforms | TRUE | Apache Kylin is an open source analytics solution ... |
| JSF | hold | languages & frameworks | FALSE | We continue to see teams run into trouble using JSF ... |
- In Google sheets, go to 'File', choose 'Publish to the web...' and then click 'Publish'.
- Close the 'Publish to the web' dialog.
- Copy the URL of your editable sheet from the browser (Don't worry, this does not share the editable version).
The URL will be similar to https://docs.google.com/spreadsheets/d/1waDG0_W3-yNiAaUfxcZhTKvl7AUCgXwQw8mdPjCz86U/edit. In theory we are only interested in the part between '/d/' and '/edit' but you can use the whole URL if you want.
The other way to provide your data is using CSV document format. You can enter any URL that responds CSV data into the input field on the first page. The format is just the same as that of the Google Sheet, the example is as follows:
name,ring,quadrant,isNew,description
Composer,adopt,tools,TRUE,"Although the idea of dependency management ..."
Canary builds,trial,techniques,FALSE,"Many projects have external code dependencies ..."
Apache Kylin,assess,platforms,TRUE,"Apache Kylin is an open source analytics solution ..."
JSF,hold,languages & frameworks,FALSE,"We continue to see teams run into trouble using JSF ..."
Note: The CSV file parsing is using D3 library, so consult the D3 documentation for the data format details.
Paste the URL in the input field on the home page.
That's it!
Note: the quadrants of the radar, and the order of the rings inside the radar will be drawn in the order they appear in your data.
To create the data representation, you can use the Google Sheet factory or CSV, or you can also insert all your data straight into the code.
The app uses Tabletop.js to fetch the data from a Google Sheet or D3.js if supplied as CSV, so refer to their documentation for more advanced interaction. The input data is sanitized by whitelisting HTML tags with sanitize-html.
The application uses webpack to package dependencies and minify all .js and .scss files.
We have released BYOR as a docker image for our users. The image is available in our DockerHub Repo. To pull and run the image, run the following commands.
$ docker pull wwwthoughtworks/build-your-own-radar
$ docker run --rm -p 8080:80 -e SERVER_NAMES="localhost 127.0.0.1" wwwthoughtworks/build-your-own-radar
$ open http://localhost:8080
All tasks are defined in package.json.
Pull requests are welcome; please write tests whenever possible. Make sure you have nodejs installed.
git clone git@github.com:thoughtworks/build-your-own-radar.gitnpm installnpm test- to run your testsnpm run dev- to run application in localhost:8080. This will watch the .js and .css files and rebuild on file changes
To run End to End tests in headless mode
- add a new environment variable 'TEST_URL' and set it to 'http://localhost:8080/'
npm run end_to_end_test
To run End to End tests in debug mode
- add a new environment variable 'TEST_URL' and set it to 'http://localhost:8080/'
npm run start- Click on 'Run all specs' in cypress window
$ docker run -p 8080:8080 -v $PWD:/app -w /app -it node:10.14.2 /bin/sh -c 'npm install && npm run dev'
After building it will start on localhost:8080