Skip to main content
Archived

This project has been archived by its maintainers, and is no longer receiving any updates.

pynetworktables2js

A cross platform library that forwards NetworkTables key/values over a WebSocket, so that you can easily write a Driver Station Dashboard for your robot in HTML5 + JavaScript.

This library does not provide a full dashboard solution, but is intended to provide the necessary plumbing for one to create one with only knowledge of HTML/JavaScript. Because the communications layer uses NetworkTables, you can connect to all FRC languages (C++, Java, LabVIEW, Python).

Documentation

Documentation can be found at http://pynetworktables2js.readthedocs.org/

Installation

Easy install (Windows only)

  1. Download the latest pynetworktables2js.exe from GitHub at https://github.com/robotpy/pynetworktables2js/releases .

  2. Extract the exe from the zipfile, and copy it to your directory of HTML/JS files.

  3. Double click the exe to run it!

Manual install

Make sure to install python 3 on your computer, and on Windows you can execute:

py -3 -m pip install pynetworktables2js

On Linux/OSX you can execute:

pip install pynetworktables2js

Why make an HTML/Javascript dashboard?

TL;DR: It’s simpler.

pynetworktables2js lowers the barrier of entry for teams that want an additional way to tune/control their robot with a minimal amount of programming.

Lots of students and mentors know how to create simple web pages to display content, and there’s lots of resources out there for creating dynamic content for webpages that use javascript. There is a lot of visually appealing content that others have created using web technologies – why not leverage those resources to make something cool to control your robot?

Usage

You can just distribute your HTML files, and run a pynetworktables server using the following command from inside the directory:

python3 -m pynetworktables2js

Or on Windows:

py -3 -m pynetworktables2js

This will start a pynetworktables2js server using Tornado (which is installed by default) and it will serve the current directory. You can navigate your browser (I recommend Chrome) to http://127.0.0.1:8888 and see your website.

You will want to also pass either the --robot or --team switch:

py -3 -m pynetworktables2js --robot roborio-XXXX-frc.local
py -3 -m pynetworktables2js --team XXXX

Dashboard mode currently doesn’t work, as the underlying support in pynetworktables hasn’t been implemented yet for the newer FRC Driver Station.

Customized python server

There are two example servers distributed with pynetworktables2js, one that uses tornado, and one that uses aiohttp. Either one should work.

Go to the ‘example’ directory distributed with pynetworktables2js, and run:

python3 tornado_server.py --robot 127.0.0.1

If you want to try this out with your current robot, you can do:

python3 tornado_server.py --robot roborio-XXX.local

If you are running pynetworktables2js on your driver station laptop, you can receive robot IP information directly from the Driver Station (handy during actual competitions):

python3 tornado_server.py --dashboard

If you navigate your browser (I recommend Chrome) to http://127.0.0.1:8888, all of the current NetworkTables values will be shown as they change.

One way of testing this out is use FIRST’s TableViewer application (you can launch it using the “Outline Viewer” WPILib menu item in Eclipse), and start it in server mode.

Feel free to copy the example directory to create your own customized dashboard. Just add your custom files to the www directory.

Contributing new changes

pynetworktables2js is intended to be a project that all members of the FIRST community can quickly and easily contribute to. If you find a bug, or have an idea that you think others can use:

  1. Fork this git repository to your GitHub account

  2. Create your feature branch (git checkout -b my-new-feature)

  3. Commit your changes (git commit -am 'Add some feature')

  4. Push to the branch (git push -u origin my-new-feature)

  5. Create new Pull Request on GitHub

One place in particular I would love to see contributions is in adding useful JavaScript functions/objects that make creating dashboards even easier!

Authors

Leon Tan of FRC Team 1418 did the initial research/work to get this working, and created an initial working prototype for Team 1418’s 2015 Dashboard, which was instrumental to winning an Innovation In Control award at the 2015 Greater DC Regional.

Dustin Spicuzza cleaned stuff up, rewrote things, added more functionality, wrote documentation, and packaged it so other teams could use it.

Metadata

Release files for pynetworktables2js 2021.0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pynetworktables2js 2021.0.1
File Size Uploaded
pynetworktables2js-2021.0.1.tar.gz 23.8 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for pynetworktables2js 2021.0.1
File Interpreter ABI Platform
pynetworktables2js-2021.0.1-py3-none-any.whl Python 3 none any Details

Total release size: 45.4 kB

Release files / pynetworktables2js-2021.0.1.tar.gz

Download URL pynetworktables2js-2021.0.1.tar.gz
Size 23.8 kB
Tags Source
SHA-256 checksum
How to use checksums
e731cbdac6cccbc9b9e5c1a319913d9682b0365a941c3b8e49135ce0a23b87f4
BLAKE2b-256 checksum
How to use checksums
104bd1493ab9ba91cc0f4c4f0be625507f19671bd384cd8fed4f1d89260ba75b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.58.0 CPython/3.9.2

Release files / pynetworktables2js-2021.0.1-py3-none-any.whl

Download URL pynetworktables2js-2021.0.1-py3-none-any.whl
Size 21.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
db9f4516c7601af72b52e669ac4ba5d8a6539353207ecdb0cfbbaed48b20cb59
BLAKE2b-256 checksum
How to use checksums
9bb0f91cf05be0e6fe7d8a380a52573a077634c9b953bcc2a0489996bfe0cfbb
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.58.0 CPython/3.9.2
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page