Fetch cgm data of FreeStyle Libre 2/3 directly from abbot's sharing service.
This client allows you to connect to abbot's sharing server which is also used by its application LibreLinkUp.
If you plan to implement your own client or are interested in the sharing api you can find detailed information here: https://gist.github.com/khskekec/6c13ba01b10d3018d816706a32ae8ab2
Simply install the package via your favorite package manager:
npm i @diakem/libre-link-up-api-client
The client only needs your LibreLinkUp credentials to connect to the sharing service and retrieve cgm data. You do not need to take care of login - the client will handle the initial login and also do it if your session expires.
import {LibreLinkUpClient} from '@diakem/libre-link-up-api-client';
const {read} = LibreLinkUpClient({username: 'myLibreLinkUpEmailAddress', password: 'pAssw0rd!', clientVersion: '4.9.0'});
const response = await read();
You will get the following data structure:
export type LibreCgmData = {
value: number,
isHigh: boolean,
isLow: boolean,
trend: TrendType,
date: Date
}
You have also the possibility to retrieve the raw response returned by the sharing service:
import {LibreLinkUpClient} from '@diakem/libre-link-up-api-client';
const {readRaw} = LibreLinkUpClient({username: 'myLibreLinkUpEmailAddress', password: 'pAssw0rd!', clientVersion: '4.9.0'});
const response = await readRaw();
You will get the following data structure:
type ReadRawResponse = {
connection: Connection,
activeSensors: ActiveSensor[],
graphData: GlucoseItem[]
};
Get average data.
amount: number
: Amount of data which should be collected before calculating the averagecallback: function
: Callback function which will be invoked ifamount
of data was collected and average can be calculatedinterval: number (DEFAULT: 15 seconds)
: Milliseconds between each call to the service
import {LibreLinkUpClient} from '@diakem/libre-link-up-api-client';
const {readAveraged} = LibreLinkUpClient({username: 'myLibreLinkUpEmailAddress', password: 'pAssw0rd!', clientVersion: '4.9.0'});
const callback = (average, memory) => {
console.log({
average,
memory
});
};
const response = await readAveraged(5, callback, 15000);
The callback method will receive the following parameters:
// Average dataset
average: LibreCgmData,
// All cgm data which was used to calculate average data
memory: LibreCgmData[]
// All historical readings available at the sharing service
history: LibreCgmData[]
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (git checkout -b feature/AmazingFeature)
- Commit your Changes (git commit -m 'Add some AmazingFeature')
- Push to the Branch (git push origin feature/AmazingFeature)
- Open a Pull Request
This project is using commit hooks to ensure code quality and prevent code smell. This will be done by ESLint and Prettier. If there are noticeable problems with your code the commit will be rejected. Furthermore convential commits are used to standardize commit messages to generate changelogs automatically.
Distributed under the MIT License.
Selcuk Kekec
E-mail: khskekec@gmail.com