Luftdatenpumpe v0 Backlog

  • Link/embed to dashboard by Sensor ID.

  • Check for proper timezone when importing CSV vs. fetching data from live API

  • Filter out fields like sensor_id, location, lat, lon from timeseries data

  • Convert lat/lon or latitude/longitude to geohash (The Grafana Worldmap Panel requires GeoHash) https://pypi.python.org/pypi/Geohash/

  • Live data convergence by polling on https://api.luftdaten.info/static/v1/data.json, see also https://github.com/opendata-stuttgart/sensors-software/issues/33

  • Resolve geohash to regional/city name

  • Migrate new routines from (luftdaten.info) luftdatenpumpe.py into Kotori

  • Kotori: Re-create database when ERROR: Error processing MQTT message from topic “luftdaten/testdrive/earth/42/data.json”: [Failure instance: Traceback: <class ‘influxdb.exceptions.InfluxDBClientError’>: 404: {“error”:”database not found: “luftdaten_testdrive””}

  • Worldmap Plugin:

    • Interpolate multiple metric values into popover

    • Add HTML links to popover

    • Embed HTML into popover for generic panel generation

  • Single announcement of non-volatile values to be persisted into MongoDB. Use case: Einmalig Standort registrieren.

  • Generic tag announcements through field name annotations. Proposals:

    1. Send CSV header like this: sensor_id[@tag];sensor_type[@tag];location[@tag];lat;lon;timestamp;P1;durP1;ratioP1;P2;durP2;ratioP2

    2. Send qualification information “out of band”: ## @tags:sensor_id,sensor_type,location

    => Think about how to do it with JSON?:

    Why not just "@tag:sensor_id", ...?
    {temperatute: 42.42, tags: {'standort': 'Niederrhein'}}
    {tags: {'standort': 'Niederrhein'}}
    {temperatute: 42.42}
    
  • Integrate web-gl globe:

  • Generische tag => filter umsetzung à la Grafana