OpenSprinkler Weather Service 
Official Site | Support | Changelog
This script is used by OpenSprinkler Unified Firmware to update the water level of the device. It also provides timezone information based on user location along with other local information (sunrise, sunset, daylights saving time, etc).
The production version runs on Amazon Elastic Beanstalk (AWS EB) and therefore this package is tailored to be zipped and uploaded to AWS EB. The script is written in Javascript for Node.JS.
File Detail
server.js is the primary file launching the API daemon.
routes/*.js contains all the endpoints for the API service. Currently, only one exists for weather adjustment.
Local Installation onto a Raspberry Pi
Step 1: Download and install Node.js onto the Raspberry Pi so that we can run the OpenSprinkler weather server. The version of Node.js to install is dependent on your model of Raspberry Pi. Note that you can run the command uname -m on your Raspberry Pi to help identify the chipset that is being used.
For Raspberry Pi 2 or Pi 3 models that are based on the newer ARMv7 and ARMv8 chip
pi@OSPi:~ $ curl -sL https://deb.nodesource.com/setup_11.x | sudo -E bash -l
pi@OSPi:~ $ sudo apt install -y nodejs
For Raspberry Pi Model A, B, B+, Zero and Compute Module based on the older ARMv6 chip, the process is slightly more convoluted
pi@OSPi:~ $ wget https://nodejs.org/dist/v11.4.0/node-v11.4.0-linux-armv6l.tar.gz
pi@OSPi:~ $ tar -xvf node-v11.4.0-linux-armv6l.tar.gz
pi@OSPi:~ $ cd node-v11.4.0-linux-armv6l
pi@OSPi:~ $ sudo cp -R * /usr/local/
pi@OSPi:~ $ cd ..
pi@OSPi:~ $ rm -rf node-v11.4.0-linux-armv6l
pi@OSPi:~ $ rm node-v11.4.0-linux-armv6l.tar.gz
Step 2: Download the OpenSprinkler Weather Service repository to your Raspberry Pi so that we can run a local version of the service:
pi@OSPi:~ $ git clone https://github.com/OpenSprinkler/OpenSprinkler-Weather.git weather
Step 3: Install all of the dependencies using the Node Package Manager, npm, from within the weather project directory:
pi@OSPi:~ $ cd weather
pi@OSPi:~/weather $ npm install
Step 4: Go to https://openweathermap.org/appid to register with OpenWeatherMaps and obtain an API key that is needed to request weather information.
Step 5: The file .env is used by the weather server to specify the interface and port to listen on for OpenSprinkler Firmware weather requests. We need to create a new file, .env, and enter some configuration details.
pi@OSPi:~/weather $ nano .env
Add the following three lines to the .env file so that the weather server is configured to listen for weather requests and generate OWM calls. Using 0.0.0.0 as the host interfaces allows you to access the service from another machine to test. Alternatively, set HOST to “localhost” if you want to limit weather service access to only applications running on the local machine. Make sure to use the OWM API key that was provided during registration.
HOST=0.0.0.0
PORT=3000
OWM_API_KEY=<YOUR KEY>
Step 6: Setup the Weather Server to start whenever the Raspberry Pi boots up using the built-in service manager:
pi@OSPi:~/weather $ sudo nano /etc/systemd/system/weather.service
Cut and paste the following lines into the weather.service file:
[Unit]
Description=OpenSprinkler Weather Server
[Service]
ExecStart=/usr/bin/node /home/pi/weather/server.js
WorkingDirectory=/home/pi/weather
Restart=always
RestartSec=10
[Install]
WantedBy=multi-user.target
Save the file and enable/start the weather service
pi@OSPi:~/weather $ sudo systemctl enable weather.service
pi@OSPi:~/weather $ sudo systemctl start weather.service
pi@OSPi:~/weather $ systemctl status weather.service
The final line above checks that the service has been started and you should see the service marked as running.
Step 7: You will now need to configure your OpenSprinkler device to use the local version of the Weather Service rather than the Cloud version. On a web browser from your PC, go to http://<your OSPi IP>:8080/su and specify “localhost:3000” as the new location for the weather service.
OpenSprinkler should now be connected to your local Weather Service for calculating rain delay and watering levels.