- docker-compose
- pipenv
- python 3.9
- npm
- vscode
sudo apt install curl python3.9 pip pipenv -y
curl https://get.docker.com | sh && sudo systemctl --now enable docker
sudo curl -L "https://github.com/docker/compose/releases/download/1.29.2/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose
sudo chmod +x /usr/local/bin/docker-compose
Make sure to increase the resource limit of docker to at least 4GB Ram.
docker-compose up --build
DCAP is now running and can be used. In nifi/processors/dcapclient/ is a filter notebook that shows how filtering works.
Navigate to (http://localhost:1111/nifi)[http://localhost:1111/nifi] and add the infrastructure from the nifi template.
Press anywhere outside the NIFI stages
Press the Configuration icon of NIFI Flow
Go to Controller Services Panel
Press the Configration icon of JettyWebSocketServer
Copy the Id
Go to UpdateAttribute phase
Press the Configuration icon
Go to the Properties Panel
Paste the id in the field websocker.controller.service.id
Close the Panel
Press anywhere outside the NIFI stages
Press the Configuration icon of NIFI Flow
Go to Controller Services Panel
Enable all services by pressing the enable icons of the different services
Run NIFI
cd nifi/et-indicator/
npm install
npm run serve
Navigate to (http://localhost:8080)[http://localhost:8080]
Make sure to follow the steps here: https://github.com/ics-unisg/dcap/tree/main/imotions
You can "replay" recorded data in realistic speed. ET-Simulator can do that.
cd nifi/et-simulator
pipenv install
pipenv run python read_file.py
This will play all data in sample.csv.
Start the reader. Do not forget to point iMotions to your IP. You have to be in the same network.
cd nifi/et-reader/
pipenv install
pipenv run python3 reader.py
cd nifi/et-simulator
pipenv install
pipenv run python reset.py
Matlab in nifi can be done with matlab in the nifi docker container https://github.com/mathworks-ref-arch/matlab-dockerfile