npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

lora-serialization

v3.0.1

Published

LoraWAN serialization/deserialization library for The Things Network

Downloads

40

Readme

LoRaWAN serialization/deserialization library for The Things Network

Build Status Coverage Status semantic-release

This fully unit-tested library allows you to encode your data on the Arduino side and decode it on the TTN side. It provides both a C-based encoder and a JavaScript-based decoder.

Since version 2.2.0 there is also an encoder for the TTN side.

In short

Encoding on Arduino, decoding in TTN

Arduino side:

#include "LoraMessage.h"

LoraMessage message;

message
    .addUnixtime(1467632413)
    .addLatLng(-33.905052, 151.26641);

lora_send_bytes(message.getBytes(), message.getLength());
delete message;

TTN side:

// include src/decoder.js
var json = decode(bytes, [unixtime, latLng], ['time', 'coords']);
// json == {time: unixtime, coords: [latitude, longitude]}

Encoding in TTN

TTN side:

// include src/encoder.js
var bytes = encode([timestamp, [latitude, longitude]], [unixtime, latLng]);
// bytes is of type Buffer

With the convenience class

// include src/encoder.js
// include src/LoraMessage.js
var bytes = new LoraMessage(encoder)
    .addUnixtime(1467632413)
    .addLatLng(-33.905052, 151.26641)
    .addBitmap(true, true, false, true)
    .getBytes();
// bytes = <Buffer 1d 4b 7a 57 64 a6 fa fd 6a 24 04 09 d0>

and then decoding as usual:

var result = decoder.decode(
    bytes,
    [decoder.unixtime, decoder.latLng, decoder.bitmap],
    ['time', 'coords', 'heaters']
);
// result =
// { time: 1467632413,
//  coords: [ -33.905052, 151.26641 ],
//  heaters:
//   { a: true,
//     b: true,
//     c: false,
//     d: true,
//     e: false,
//     f: false,
//     g: false,
//     h: false } }

General Usage

Unix time (4 bytes)

Serializes/deserializes a unix time (seconds)

#include "LoraEncoder.h"

byte buffer[4];
LoraEncoder encoder(buffer);
encoder.writeUnixtime(1467632413);
// buffer == {0x1d, 0x4b, 0x7a, 0x57}

and then in the TTN frontend, use the following method:

unixtime(bytes.slice(x, x + 4)) // 1467632413

GPS coordinates (8 bytes)

Serializes/deserializes coordinates (latitude/longitude) with a precision of 6 decimals.

#include "LoraEncoder.h"

byte buffer[8];
LoraEncoder encoder(buffer);
encoder.writeLatLng(-33.905052, 151.26641);
// buffer == {0x64, 0xa6, 0xfa, 0xfd, 0x6a, 0x24, 0x04, 0x09}

and then in the TTN frontend, use the following method:

latLng(bytes.slice(x, x + 8)) // [-33.905052, 151.26641]

Unsigned 8bit Integer (1 byte)

Serializes/deserializes an unsigned 8bit integer.

#include "LoraEncoder.h"

byte buffer[1];
LoraEncoder encoder(buffer);
uint8_t i = 10;
encoder.writeUint8(i);
// buffer == {0x0A}

and then in the TTN frontend, use the following method:

uint8(bytes.slice(x, x + 1)) // 10

Unsigned 16bit Integer (2 bytes)

Serializes/deserializes an unsigned 16bit integer.

#include "LoraEncoder.h"

byte buffer[2];
LoraEncoder encoder(buffer);
uint16_t i = 23453;
encoder.writeUint16(i);
// buffer == {0x9d, 0x5b}

and then in the TTN frontend, use the following method:

uint16(bytes.slice(x, x + 2)) // 23453

Temperature (2 bytes)

Serializes/deserializes a temperature reading between -327.68 and +327.67 (inclusive) with a precision of 2 decimals.

#include "LoraEncoder.h"

byte buffer[2];
LoraEncoder encoder(buffer);
encoder.writeTemperature(-123.45);
// buffer == {0xcf, 0xc7}

and then in the TTN frontend, use the following method:

temperature(bytes.slice(x, x + 2)) // -123.45

Humidity (2 bytes)

Serializes/deserializes a humidity reading between 0 and 100 (inclusive) with a precision of 2 decimals.

#include "LoraEncoder.h"

byte buffer[2];
LoraEncoder encoder(buffer);
encoder.writeHumidity(99.99);
// buffer == {0x0f, 0x27}

and then in the TTN frontend, use the following method:

humidity(bytes.slice(x, x + 2)) // 99.99

Bitmap (1 byte)

Serializes/deserializes a bitmap containing between 0 and 8 different flags.

#include "LoraEncoder.h"

byte buffer[1];
LoraEncoder encoder(buffer);
encoder.writeBitmap(true, false, false, false, false, false, false, false);
// buffer == {0x80}

and then in the TTN frontend, use the following method:

bitmap(bytes.slice(x, x + 1)) // { a: true, b: false, c: false, d: false, e: false, f: false, g: false, h: false }

Composition

On the Arduino side

The decoder allows you to write more than one value to a byte array:

#include "LoraEncoder.h"

byte buffer[19];
LoraEncoder encoder(buffer);

encoder.writeUnixtime(1467632413);
encoder.writeLatLng(-33.905052, 151.26641);
encoder.writeUint8(10);
encoder.writeUint16(23453);
encoder.writeTemperature(80.12);
encoder.writeHumidity(99.99);
encoder.writeBitmap(true, false, false, false, false, false, false, false);
/* buffer == {
    0x1d, 0x4b, 0x7a, 0x57, // Unixtime
    0x64, 0xa6, 0xfa, 0xfd, 0x6a, 0x24, 0x04, 0x09, // latitude,longitude
    0x0A, // Uint8
    0x9d, 0x5b, // Uint16
    0x1f, 0x4c, // temperature
    0x0f, 0x27, // humidity
    0x80 // bitmap
}
*/

Convenience class LoraMessage

There is a convenience class that represents a LoraMessage that you can add readings to:

#include "LoraMessage.h"

LoraMessage message;

message
    .addUnixtime(1467632413)
    .addLatLng(-33.905052, 151.26641)
    .addUint8(10)
    .addUint16(23453)
    .addTemperature(80.12)
    .addHumidity(99.99)
    .addBitmap(false, false, false, false, false, false, true, false);

send(message.getBytes(), message.getLength());
/*
getBytes() == {
    0x1d, 0x4b, 0x7a, 0x57, // Unixtime
    0x64, 0xa6, 0xfa, 0xfd, 0x6a, 0x24, 0x04, 0x09, // latitude,longitude
    0x0A, // Uint8
    0x9d, 0x5b, // Uint16
    0x1f, 0x4c, // temperature
    0x0f, 0x27, // humidity
    0xfd // Bitmap
}
and
getLength() == 20
*/

Composition in the TTN decoder frontend with the decode method

The decode method allows you to specify a mask for the incoming byte buffer (that was generated by this library) and apply decoding functions accordingly.

decode(byte Array, mask Array [,mapping Array])

Example

Paste everything from src/decoder.js into the decoder method and use like this:

function (bytes) {
    // code from src/decoder.js here
    return decode(bytes, [latLng, unixtime], ['coords', 'time']);
}

This maps the incoming byte buffer of 12 bytes to a sequence of one latLng (8 bytes) and one unixtime (4 bytes) sequence and maps the first one to a key coords and the second to a key time.

You can use: 64 A6 FA FD 6A 24 04 09 1D 4B 7A 57 for testing, and it will result in:

{
  "coords": [
    -33.905052,
    151.26641
  ],
  "time": 1467632413
}
Example decoder in the TTN console

Set up your decoder in the console: TTN console decoder example

Example converter in the TTN console

The decode method already does most of the necessary transformations, so in most cases you can just pass the data through: TTN console converter example

Development

  • Install the dependencies via yarn
  • Run the unit tests (C) via yarn run test:c
  • Run the unit tests (JavaScript) via yarn test
  • Check the coverage (JavaScript) via yarn coverage (see coverage/lcov-report)

The CI will kick off once you create a pull request automatically.