Leaf Telemetry Viewer

This is a Telemetry Viewer for the Leaf Vario Project. It takes the binary data, will show graphs of some of the data, and enable exporting it into more verbose JSON or CSV file formats.

This project provides a simple way of adding in additional computed fields for the purpose of testing new algorithms using existing collected Telemetry data.

This is a work in progress, and the telemetry format has not yet been merged into the main branch.

Using

Either fork this, and follow the instructions below to add additional computed fields, or use the hosted Leaf Telemetry Viewer

To get you started, you can use the Demo Telemetry File to get you started.

Once you load in a telemetry file (button at the top), you'll be shown something like this:

You can click and drag on any of the graphs to Zoom in

The red areas shown are a positive climb rate. Some algorithms are better than others

In the examples above, you can see that the Leaf v0.0.6 algorithm with default sensitivity is not very good at detecting the edges of a climb. It will be positive just after the start of a climb, and nevative just after the start of a descent.

Exporting to a csv will yield something like this:

[
  {
    "micros": 22979892,
    "gpsPosition": {
      "altitude": -1839,
      "latitude": 1.83e-322,
      "longitude": null
    },
    "temperatureHumidity": {
      "temperature": 19,
      "humidity": 52
    },
    "baroPressureRaw": {
      "d1": 8653586
    },
    "baroTemp": {
      "d2_t": 8464810
    },
    "baroSensorCalibrations": {
      "c_sens": 48122,
      "c_off": 48548,
      "c_tcs": 29334,
      "c_tco": 26634,
      "c_tref": 32597,
      "c_tempsens": 27611
    },
    "climbRate": 0,
    "imuOrientation": {
      "q1": 0,
      "q2": 0,
      "q3": 0,
      "accuracy": 0
    },
    "imuAcceleration": {
      "x": 568,
      "y": 172,
      "z": 8448,
      "accuracy": 0
    }
  },
  {
    "micros": 22979892,
    "baroAltitude": -9253.899487211407
  },
  {
    "micros": 22979892,
    "baroPressure": 102441.62266807741
  },
  {
    "micros": 23046508,
    "imuOrientation": {
      "q1": 0,
      "q2": 0,
      "q3": 0,
      "accuracy": 0
    },
    "imuAcceleration": {
      "x": 670,
      "y": 200,
      "z": 8448,
      "accuracy": -84
    }
  }
]

Adding in new computed fields

1. Modify src/additionalTelemetry.ts to add in your new computed fields.
2. (optionally) add in a file to src/dataSources/ to add the logic for computing your field.
3. Modify the GetTelemetry function in src/additionalTelemetry.ts to add in your new computed field.

If your new field is a new Climb Rate Algorithm, then you can change src/components/liftModelSelector.tsx to add in a new option for the user to select it.

🧞 Commands to Get you Started Developing

All commands are run from the root of the project, from a terminal:

Command	Action
npm install	Installs dependencies
npm run dev	Starts local dev server at localhost:4321
npm run build	Build your production site to ./dist/
npm run preview	Preview your build locally, before deploying
npm run astro ...	Run CLI commands like astro add, astro check
npm run astro -- --help	Get help using the Astro CLI