Fetches Owlet Smart Sock data from their API and exports it as Prometheus metrics. More exporter formats can be added easily. This project was originally forked from mbevand/owlet_monitor.
Should support Sock v2, but is only tested with Sock v3 as this is the device I have. The code has been setup to handle either path, so if a v2 option is not working please submit a PR to adapt.
OWLET_USER=asdf@asdf.com OWLET_PASS=asdf python -m owlet_monitor
docker run -e OWLET_USER=asdf@asdf.com -e OWLET_PASS=asdf -p 9090:9090 linjmeyer/owlet-monitor
Set environment variable OWLET_REGION=europe if you are in Europe/EU.
See docs/PROM.md
See docs/grafana_dashboard.json for an example Grafana dashboard using Prometheus. This is optional but can serve as a good kick-off for your own dashboard. (This is the dashboard in the image above)
REAL_TIME_VITALS
{'type': 'Property', 'base_type': 'string', 'read_only': True, 'direction': 'output', 'scope': 'user', 'data_updated_at': '2021-11-07T01:35:05Z', 'key': 0000, 'device_key': 0000, 'product_name': '0000', 'track_only_changes': False, 'display_name': 'Real-Time Vitals', 'host_sw_version': False, 'time_series': False, 'derived': False, 'app_type': None, 'recipe': None, 'value': '{"ox":99,"hr":134,"mv":0,"sc":2,"st":33,"bso":1,"bat":95,"btt":925,"chg":0,"aps":0,"alrt":0,"ota":0,"srf":0,"rsi":55,"sb":0}', 'denied_roles': [], 'ack_enabled': False, 'retention_days': 30, 'ack_status': None, 'ack_message': None, 'acked_at': None}