https://github.com/natronics/telemetry-websocket-example

A test PSAS telemetry websocket deployed to heroku
https://github.com/natronics/telemetry-websocket-example

Last synced: 10 months ago
JSON representation

A test PSAS telemetry websocket deployed to heroku

• Host: GitHub
• URL: https://github.com/natronics/telemetry-websocket-example
• Owner: natronics
• License: gpl-3.0
• Created: 2016-07-20T17:25:17.000Z (almost 10 years ago)
• Default Branch: master
• Last Pushed: 2016-07-21T19:53:12.000Z (almost 10 years ago)
• Last Synced: 2025-03-13T06:42:47.499Z (over 1 year ago)
• Language: Python
• Size: 19.5 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.markdown
  • License: LICENSE

Awesome Lists containing this project

README

          
PSAS Telemetry Websocket

========================

![Language: Python 3.4](https://img.shields.io/badge/language-python3-green.svg)

[![Build Status](https://travis-ci.org/natronics/telemetry-websocket-example.svg?branch=master)](https://travis-ci.org/natronics/telemetry-websocket-example)

A test PSAS telemetry websocket deployed to heroku.

Live instance: `wss://psas-telemetry-demo.herokuapp.com/` (websocket connection only).

## Develop

The best way to deal with dependencies in python is with [virtualenv][virtualenv]. If you've never used it before, you can read more about how it works here: 

Once you have `python3`, `pip`, and `virtualenvwrapper` installed, you can build this project.

To install everything you need for this project, create a new environment (you only need to do this once):

    $ mkvirtualenv -p `which python3` telemetry

Now you can install all the requirements:

    $ pip install -r requirements.txt

When you're done working you can close the virtualenv like this

    $ deactivate

And when you want to work on it again do this:

    $ workon telemetry

## Running

Assuming you have the correct libraries installed in your virtualenv, the run a server locally like this:

    $ honcho start

This will run the commands in the `Procfile`, starting a local webserver on port 5000. You can now test the code by making a websocket connection to

`ws://localhost:5000`

[virtualenv]: https://virtualenv.pypa.io/en/stable/