A small home server running on raspberry pi that has API end points returning the status for London public transport and air quality.

The status can be saved in a local file or read by a karotz.

The information is taken from Transport for London (TFL) and the air pollution index (aqicn.org).

This is my very first published piece of code on Github, so feel free to comment / correct anything I might have done that does not follow the standard etiquette.

You can get the current status on the London tube:

Or current readings of air quality around London:

You can also ask your karotz to tell you the current status. You can find a short video of what the bunny actually says here

• SSH access to the raspberry pi. See here.

• The raspberrypi hostname. It is raspberrypi by default.

• Git installed: sudo apt-get install git. Full git setup here.

• Python 3 installed. To check the Python version: which python

• pip installed: sudo apt-get install python3-pip

• Flask installed: sudo pip3 install flask

• Config Parser installed: sudo pip3 install configparser

From the raspberry pi SSH session:

1. Download the source code folder: git clone https://github.com/AdrienChenu/home-server-rpi

2. Update to config.ini:

   • Karotz IP address
   • Token for pollution data: Get it from this website if you do not have one.
   • Save Path: Path where to save the pollution data, e.g. /home/impactik/aciqn_pollution_data
   • Feed Sensor: The location id from aqicn.com e.g. 5724 for London, UK.

3. Start the server nohup python3 flaskServer.py &

1. TFL status for all lines: http://raspberrypi:5000/tfl/status

2. Line status: http://raspberrypi:5000/tfl/<line>

3. Ask the karotz to tell the transport status: http://raspberrypi:5000/tfl/askRabbit/<line>

Possible values for <line>: Bakerloo, Central, Circle, District, Hammersmith and City, Jubilee, Metropolitan, Northern, Piccadilly, Victoria, Waterloo and City, Overground, TfL Rail, DLR, Trams.

1. Current pollution index: http://raspberrypi:5000/aqicn/pollutionIndex

2. Save available pollution data: http://raspberrypi:5000/aqicn/SavePollutionData

3. Ask the karotz to tell the pollution index: http://raspberrypi:5000/aqicn/askRabbit/pollutionIndex