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ADVICE AI4EU Solution Experiment

ADVICE: AI-baseD predictiVe road maIntenanCE

Deployment Cheatsheet

Once the pipeline has been built on the AI4EU platform and exported to local:

pipeline

  1. Install docker and kubectl

  2. Install minikube and start it:

       minikube start

  3. Deactivate de Firewall to mount host's folder on the minikube virtual machine:

       ip r g $(minikube ip)|awk '{print $3}'|head -n1|xargs sudo ufw allow in on
   sudo ufw reload

  4. Mount folder:

       minikube mount -v 5 <path-to>/advice-platform-pipeline/shared_folder:/tmp/hostpath-provisioner/test/pipeline

  5. In other terminal, create namespace:

       kubectl create namespace test

  6. Unzip solution.zip file

  7. Run script (note IP address and port of the orchestrator):

       cd <path-to-unzipped-solution-folder>
   python3 kubernetes-client-script.py -n test

  8. Wait until images are successfully pulled. For that purpose, run the following command:

       kubectl -n test get pod,svc -o wide

  9. Run orchestrator script to start the pipeline, using the IP and port noted before:

      python3 orchestrator_client/orchestrator_client.py -e 192.168.49.2:30004 -b .

(Note: For deployment on local machine by source code please visit the "local" branch)

Acknowledgement

AI4EU

Supported by AI4EU - A European AI On Demand Platform and Ecosystem.
More information: ai4europe.eu

eu_flag

This project has received funding from the European Union's Horizon 2020
research and innovation programme under grant agreement 825619.

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