This is an experiment to ingest data from dweet.io into InfluxDB.

I assume that you've installed InfluxDB, as well as its Python client lib. Further, you'll need to create a database in InfluxDB with the name dweet along with the following user (with Admin role enabled):

user name: dweet
password:  dweet

Also, make sure the time series dweet is empty, by executing the following in the Web UI:

delete from dweet

or

drop dweet

Simply run the script, providing it:

• the FQHN where your InfluxDB runs
• the thing itself, discover it first
• the key that you want to track (an item of the content object)

For example, call the script like this:

python dwingest.py influxdb AvocadoGrove aiHotWaterTemp_degreesF

which pulls data from the thing AvocadoGrove using the key aiHotWaterTemp_degreesF:

  {
      "by": "getting",
      "the": "dweets",
      "this": "succeeded",
      "with": [
          {
              "content": {
                  "aiHotWaterTemp_degreesF": 98.463,
                  "aiOutsideTemp_degreesF": 95.935,
                  ...
              },
              "created": "2014-09-06T16:56:32.305Z",
              "thing": "AvocadoGrove"
          }
      ]
  }

You should then see something like this in the InfluxDB UI:

when executing:

select aiHotWaterTemp_degreesF from dweet

See the LICENSE file.