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`pylibrelinkup` is a Python client for the LibreLinkUp API, which allows you to interact with the LibreLinkUp service to retrieve glucose data and other related information. This project is a Python implementation inspired by the [libre-link-up-api-client](https://github.com/DiaKEM/libre-link-up-api-client) project.

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pylibrelinkup

pylibrelinkup is a Python client for the LibreLinkUp API, which allows you to interact with the LibreLinkUp service to retrieve glucose data and other related information. This project is a Python implementation inspired by the libre-link-up-api-client project.

Installation

To install pylibrelinkup, you can use pip:

pip install pylibrelinkup

Usage

Initialization

First, you need to import the necessary modules, initialize the client, and authenticate with your LibreLinkUp credentials:

from pylibrelinkup import PyLibreLinkUp

client = PyLibreLinkUp(email='your_username', password='your_password')
client.authenticate()

Getting Patient List

You can fetch the list of patients using the get_patients method:

patient_list = client.get_patients()
print(patient_list)

Getting Patient data

PyLibreLinkUp provides three methods to retrieve patient data: current, graph, and logbook.

  • The current method retrieves the most recent glucose measurement reported by the LLU api for a patient.
  • The graph method retrieves the glucose measurements for the previous 12 hours which are used to display the recent history graph in the LLU app.
  • The logbook method retrieves the glucose event data for approximately the last two weeks.

All three methods accept a patient_identifier parameter in the form of a UUID, str, or Patient object.

Note: The read method also exists as a way to retrieve both recent and latest patient data, but it is deprecated and will be removed in a future release. Use the graph method for retrieving graph data and latest to access the most recent glucose measurement.

Current Glucose:

latest_glucose = client.latest(patient_identifier=patient_list[0])
print(latest_glucose)

Graph Data:

graph_data = client.graph(patient_identifier=patient_list[0])
print(graph_data)

Logbook Data:

logbook_data = client.logbook(patient_identifier=patient_list[0])
print(logbook_data)

full example:

from pylibrelinkup import PyLibreLinkUp

client = PyLibreLinkUp(email='your_username', password='your_password')
client.authenticate()
patient_list = client.get_patients()
print(patient_list)
patient = patient_list[0]
print(f"latest: {client.latest(patient_identifier=patient)}")
graph_data = client.graph(patient_identifier=patient)
print(f"graph data ({len(graph_data)} measurements):")
for measurement in graph_data:
    print(f"{measurement.value} {measurement.timestamp} {measurement.factory_timestamp}")
logbook_data = client.logbook(patient_identifier=patient)
print(f"logbook data: ({len(logbook_data)} entries)")
for measurement in logbook_data:
    print(f"{measurement.value} {measurement.timestamp} {measurement.factory_timestamp}")

For full documentation, please refer to the API documentation.

About

`pylibrelinkup` is a Python client for the LibreLinkUp API, which allows you to interact with the LibreLinkUp service to retrieve glucose data and other related information. This project is a Python implementation inspired by the [libre-link-up-api-client](https://github.com/DiaKEM/libre-link-up-api-client) project.

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