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pyNIBE

python module for retreival of measurement data from the NIBE UPLINK service

Installation

To install, clone this repo and execute:

python setup.py install

Documentation

Please note that this is a web scraping library. User experience may vary.

this module will present the user with a nested dicts holding all values presented in the Service Info-view of the NIBE Uplink webUI.

If there's more than one entry in the top level dict, this is because your NIBE system has more than one module (e.g slaves).

sample output

Also, all values retrieved from NIBE UPLINK are preserved in the way they were retrieved, namely as unicode strings. This means that for whatever application you have, you will need to convert the readouts into a more suiting forms.

Before we proceed, we need to find the system ID of the heater we're interested in. The easiest way to get this is to log in to the nibe uplink webservice and click the system you're interested in. At this point, looking at the adress field of your web browser, you should see something like: https://www.nibeuplink.com/System/12345/Status/Overview, where 12345 is your system ID.

Examples

Connect

Connect to the NIBE uplink service:

from pyNIBE import pyNIBE
my_heater = pyNIBE('<nibe uplink username>','<nibe uplink password>','<system ID>')
my_heater.open()
outdoor_temperature = my_heater.readings[0]['status'][0]['value']
my_heater.close()

Refresh measurement data

while True:
	# update our readings
	my_heater.refresh()
	print my_heater.readings
	time.sleep(5)

Ship data to influxDB

from pyNIBE import pyNIBE
from influxdb import InfluxDBClient
import json
import time

client = InfluxDBClient('<hostname>', <port>, '<username>', '<password>', '<database>')

my_heater = pyNIBE('<nibe uplink username>','<nibe uplink password>','<system ID>')
my_heater.open()

while True:
	# update our readings
	my_heater.refresh()

	# first value of the 'status'-section holds "BT1 Outdoor temperature"
	outdoor_temperature = my_heater.readings[0]['status'][0]['value']

	# an awful way of killing the centigrade unit and converting to float
	outdoor_temperature = float(outdoor_temperature[0:-2])

	# bagging and tagging our data
	my_datapoint["measurement"] = "NIBE-1245-8"
	my_datapoint["tags"] = {'sensor': 'outdoor'}
	my_datapoint["fields"] = {'value': outdoor_temperature}

	# sending our data to influxDB
	client.write_points([my_datapoint])

	# log out, wait for a while and start over
	my_heater.close()
	time.sleep(300)

Thanks

Thanks to NIBE for lending me some gear to facilitate my home automation ventures.