Custom Dashboard for Vision Testing

Credit for most of the backend, and the general idea goes to https://github.com/FRCDashboard

Setup

You'll need nodejs & npm.

Run npm install before running

Before running the dashboard, you'll need to install the node dependencies by cding into the dashboard directory and running npm install.

Configuration

• In ui.js, there are a bunch of key handler functions which controls the updating of control elements in the dashboard. Example NetworkTables key names are used, but you'll need to change them to match those used in your team's robot code for them to affect anything on your robot.

Running

Connect to your robot's network if you haven't already. (If you're just testing the dashboard and don't currently need to use it with your robot, you can skip this step.)

While in the dashboard directory, run:

npm start

This will open the dashboard application. Note that you can refresh the page and client-side updates will take effect; reopening the whole application is usually unnecessary.

Authors

• Erik Boesen is the primary developer of FRC Dashboard.
• Team 1418 used earlier versions of this code in 2015 and 2016.
• Leon Tan led the original 1418 UI team, coded pynetworktables2js, and developed a browser-based UI which was years later reworked to create FRC Dashboard.
• Dustin Spicuzza leads the RobotPy project, and mentored Team 1418 through much of FRC Dashboard's genesis.
• Tomas Rakusan Developed Node based NetworkTables client and its interface in this project.
• Andrew Card Created all new visuals and and an entirely new layout for this use case

Licensing

This software is available under the MIT License.