README.md

Run the solution locally for development purpose

Build each images

• For simulator as web application:

  cd simulator
  docker build . -t ibmcase/reefersimulator
  

• For container tracer listening to reefer maintenance events

  cd consumer
  docker build . -t ibmcase/containerconsumer
  

• For scoring as web app (optional)

  cd scoring/webapp
  docker build . -t ibmcase/predictivescoringweb
  

• For scoring as kafka listener and producer

  cd scoring/eventConsumer
  docker build . -t ibmcase/predictivescoring
  

Running the solution locally

• Start the kafka and zookeeper docker containers

Under the docker folder

docker-compose -f backbone-compose.yml up &

• The first time you start kafka add the different topics needed for the solution:

./scripts/createTopics.sh LOCAL

• Prepare the Postgresql database

• Start the solution

docker-compose -f solution-compose.yml up &

• To stop and clean everything

docker-compose -f solution-compose.yml down
docker-compose -f backbone-compose.yml down

• You can also remove the kafka1 and zookeeper1 folders under docker. If you do so be sure to recreate the topics.

Testing the solution

• Send a simulation control json to the simulator: under the scripts folder

./sendSimulControl.sh localhost:8080 co2sensor C02 5