Tool to import your Apple Health Data in Influx and visualize them in Grafana.
From support.apple.com:
Share your health and fitness data in XML format
You can export all of your health and fitness data from Health in XML format, which is a common format for sharing data between apps.
Tap your profile picture or initials at the top right.
If you don’t see your profile picture or initials, tap Summary or Browse at the bottom of the screen, then scroll to the top of the screen.
Tap Export all health data, then choose a method for sharing your data.
This will create a .zip file that can be shared from the iPhone via Airdrop, messages, mail and so on.
Once you've copied/shared the file to your computer, note the path of the file (can be something like /home/me/downloads/export.zip)
You'll need docker and docker-compose installed.
Clone the repo:
git clone https://github.com/k0rventen/apple-health-grafana.gitChange the following line in the docker-compose.yml:
volumes:
- <local_path_to_export.zip>:/export.zipby replacing the <local_path_to_export.zip> with your actual health data export file path from the previous step, eg /home/me/downloads/export.zip:
volumes:
- /home/me/downloads/export.zip:/export.zipThen simply run :
# download or upgrade the images (especially if you've already used the project)
docker-compose pull
# start grafana and influx in the background
docker-compose up -d grafana influx
# start our ingester
docker-compose up ingester
You should see some logs from the ingester container:
apple-health-grafana-ingester-1 | unzipping the export file..
apple-health-grafana-ingester-1 | export file unzipped
apple-health-grafana-ingester-1 | influx is ready
apple-health-grafana-ingester-1 | loading workout routes
apple-health-grafana-ingester-1 | opening Route 2022-01-16 4:19pm
...
apple-health-grafana-ingester-1 | inserted 1940000 records
apple-health-grafana-ingester-1 | Total number of records: 1942310
apple-health-grafana-ingester-1 | All done ! You can now check grafana.
apple-health-grafana-ingester-1 exited with code 0
Wait for a log saying that all the data have been imported.
Note: Depending on the amount of data the export has, it can take a few minutes to work through, and it may use a significant amount of resources. As an example, loading nearly 3 years of data (2 millions data points) on a Raspberry Pi 4 took around 6 minutes and used a maximum of 2.8Gig of memory.
Head to http://localhost:3000, and log with the grafana creds from the compose file (defaults to admin:health).
You should see some graphs with metrics in them. 3 dashboards are created by default:
- a generic one displaying every metric available,
- a more refined one for specific metrics that are probably present , like walking distance, hearth related metrics..
- a workout routes one, that shows a GPS map of your outdoor routes (walking/running/biking).
Some metrics can be displayed as is, but others might need tweaking in the influx request:
- adjusting the time interval to 1d to group daily metrics.
- using sum() instead of mean() to aggregate the metrics for a given interval.