Acquire and process live and historical air quality data without efforts. Filter by station-id, sensor-id and sensor-type, apply reverse geocoding, store into time-series and RDBMS databases, publish to MQTT, output as JSON, or visualize in Grafana. Data sources: Sensor.Community (luftdaten.info), IRCELINE, and OpenAQ.
It would be sweet to bring the whole setup into a sandbox setup based on Docker Compose and/or Vagrant. Specifically, the steps outlined in Luftdaten-Viewer Databases and Luftdaten-Viewer Grafana should be automated.
Likewise, in a subsequent iteration, this setup should be used to conduct end-to-end tests, and bring them to CI, see GH-51.
Please upvote if you think this is useful for you.
It would be sweet to bring the whole setup into a sandbox setup based on Docker Compose and/or Vagrant. Specifically, the steps outlined in Luftdaten-Viewer Databases and Luftdaten-Viewer Grafana should be automated.
Likewise, in a subsequent iteration, this setup should be used to conduct end-to-end tests, and bring them to CI, see GH-51.
Please upvote if you think this is useful for you.