This repo host the website Online Codec, allowing the user to encode (generate downlink frames) or decode (parsing uplink frames into JSON) frames.
A demo website is available, hosted through Github Pages, here.
It is purely front-end, no server is used. All the coding/decoding is made on the browser, through Javascript. This architecture is on purpose, to allow the user to re-use the easily the source code on platform and to host this website on pure HTTP server.
- React
- UI : Chakra UI, for all the graphical components
- Decoding : Made with the official TE TTN Decoder. Included as a Git Submodule.
- Encoding : Made in Typescript, part of this repository.
This website can be used as-is, as a front-end application, or be used as an API through the encoding/decoding libraries.
Just use the te_decoder() function from the TE_TtnDecoder.js file.
This function takes a bytearray and the LoRa fport as input, and return a JSON containing decoded data. The JSON Schema of the output is not available. The output shall match the sensor's specification.
This website use the TE Connectivity iot-codec NPM module to generate downlink frames.
Please update yours sensors to these firmware for the application to support them.
| Sensor | Encoding | Decoding |
|---|---|---|
| 8931 (4.0.1) | ❌ | ✅ |
| 8911 (4.0.1) | ❌ | ✅ |
| 59XX (3.5.0) | ✅ | ✅ |
| 69XX (3.5.0) | ✅ | ✅ |
| 79XX (3.5.0) | ✅ | ✅ |
In the project directory, you can run:
Runs the app in the development mode.
Open
http://localhost:3000 to view it in the browser.
The page will reload if you make edits.
You will also see any lint errors
in the console.
Launches the test runner in the interactive watch mode.
See the section
about
running tests
for more information.
Builds the app for production to the build folder.
It correctly bundles
React in production mode and optimizes the build for the best performance.
The build is minified and the filenames include the hashes.
Your app is
ready to be deployed!
See the section about deployment for more information.