Last week, I posted about python-sense, and API wrapper for the internal Sense API. I wrote this so that I could pull data about myself into my own databases, allowing me to use that information for myself.

One way I’m doing this is by pulling my room data into an InfluxDB database, letting me run time series queries against my environmental data.

#!/usr/bin/env python

from influxdb import InfluxDBClient

import json
import datetime as dt
from sense.service import Sense

api = Sense()

data = api.room_sensors(quantity=20)

def items(data):
    for flavor, series in data.items():
        for datum in reversed(series):
            value = datum['value']
            if value == -1:
                continue

            timezone = dt.timezone(dt.timedelta(
                seconds=datum['offset_millis'] / 1000,
            ))

            when = dt.datetime.fromtimestamp(
                datum['datetime'] / 1000,
            ).replace(tzinfo=timezone)

            yield flavor, when, value


client = InfluxDBClient(
    'url.to.host.here',
    443,
    'username',
    'password',
    'sense',
    ssl=True,
)


def series(data):
    for flavor, when, value in items(data):
        yield {
            "measurement": "{}".format(flavor),
            "tags": {
                "user": "paultag"
            },
            "time": when.isoformat(),
            "fields": {
                "value": value,
            }
        }


client.write_points(list(series(data)))

I’m able to run this on a cron, automatically loading data from the Sense API into my Influx database. I can then use that with something like Grafana, to check out what my room looks like over time.