An experimental project to extract data from Polar Accesslink API, store locally and allow plot dashboards.
Well, it goes without saying that you need to have a Polar device and an account at Polar Flow. Once you start generating data, you need to register a new client application in order to get API keys and proceed fetching the data from Accesslink API.
Then you will need to provide the keys in a file inside of the instance folder. [1]
An optional SECRET_KEY
will improve your application's security. [2]
The following example of SECRETS_FILE
:
CLIENT_ID="f3e94f75-3191-4999-9af2-7320c16a796e"
CLIENT_SECRET="73d6dd0f-9d45-4874-9179-6a35321920a5"
NOTE: if you fail to properly pass an env file, the following error will appear in the logs:
ERROR: Secret file not provided, aborting...
.
NOTE: a lazy way to generate a
SECRET_KEY
for Flask is by simply runningpython -c 'import uuid; print(uuid.uuid4());'
.
NOTE: We assume you have Pipenv installed.
$ pipenv install --dev && pipenv shell
$ FLASK_ENV=development flask run
Before committing your code, please install the pre-commit hooks and test them:
pre-commit install && pre-commit run --all
You can run the unit tests by running:
FLASK_ENV=testing SECRETS_FILE=secrets.env.sample pytest --setup-show
Distributed under the BSD 3-Clause License. See LICENSE for more information.