Restless Oyster online monitoring tool
Restless Oyster Web is an online monitoring tool. It provides a graphical user interface which can be accessed by any WebSocket-capable web browser. Although it’s designed for the KM3NeT neutrino detector, it provides a simple interface to let you monitor other kinds of parameters. The current status is alpha and I’m redesigning the parameter format to add more flexibility for other use cases.
The main goal is to create a tool which runs a web interface and monitors several types of parameters sent via UDP packets. The visualisation of the data is done by the d3.js framework and the parameters are sent as JSON objects. Monitoring a specific parameter should be as easy as sending a JSON object through UDP to the webserver. Any connected client should then receive the packet and the user will be able to create live graphs or histograms with the desired parameters.
Feel free to contribute or join; any kind of feedback is welcome!
Read the docs at http://royweb.readthedocs.org
I highly recommend using virtualenv for any Python related experiments.
After you set up a seperate virtual environment, use pip to install the latest release:
pip install royweb
This will automatically install all dependencies and scripts. Of course, you can also download the source and discover the code on your own.
If you installed royweb via pip, you can use the royweb script to start the web server with the default configuration. Otherwise, simply take the royweb.py in the royweb package. The server will listen to incoming client connections on port 8080 and start a UDP-listener on port 9999 for parameter monitoring:
# royweb Starting ROyWeb with PID 25674 Running on 127.0.0.1:8080 Listening for UDP data on port 9999
Send test data
To send some live test data to the web server, run royweb_tester (if installed via pip) or the send_udp.py script. This will generate some random parameters and distributes them via UDP to the default port 9999 on localhost:
# royweb_tester UDP target IP: 127.0.0.1 UDP target port: 9999
Open your browser and navigate to http://127.0.0.1:8080 to see the live parameter logging.