.travis.yml

services:
  - docker

os: linux

install:
  - mkdir -p ~/bin && export PATH=~/bin:$PATH
    # Install kind
  - curl -Lo ./kind https://github.com/kubernetes-sigs/kind/releases/download/v0.6.0/kind-$(uname)-amd64 && chmod +x ./kind && mv ./kind ~/bin
    # Install kubectl
  - curl -LO https://storage.googleapis.com/kubernetes-release/release/`curl -s https://storage.googleapis.com/kubernetes-release/release/stable.txt`/bin/linux/amd64/kubectl && chmod +x ./kubectl && mv ./kubectl ~/bin
    # Install helm
  - curl https://raw.githubusercontent.com/helm/helm/master/scripts/get-helm-3 | bash

script:
    # Build docker images for the services
  - ./build.sh
    # Start a local K8s cluster using kind, configured with a local Docker registry
  - ./.ci/local-cluster.sh
    # Push images to local registry
  - ./.ci/local-registry.sh
    # Install kafka via Strimzi helm chart, placing Strimzi operator in strimzi
    # namespace, and watching the kafka namespace.
    # (Cannot be expressed as a helm dependency, as CRDs must be installed first)
  - kubectl create ns strimzi
  - kubectl create ns kafka
  - helm repo add strimzi https://strimzi.io/charts
  - helm install strimzi strimzi/strimzi-kafka-operator -n strimzi --set watchNamespaces={kafka} --wait --timeout 300s
    # Install Strimzi custom resource, and wait for cluster creation
  - kubectl apply -f kafka-strimzi.yml -n kafka
  - kubectl wait --for=condition=Ready kafkas/my-cluster -n kafka --timeout 300s
    # Create namespace for Keda
  - kubectl create ns keda
    # Install Keda Helm chart
  - helm repo add kedacore https://kedacore.github.io/charts
  - helm install keda kedacore/keda -n keda --wait --timeout 300s
    # Wait for Keda apiservice to be ready
  - kubectl wait --for=condition=Available --timeout=60s apiservices/v1beta1.external.metrics.k8s.io 
    # Deploy to local cluster via helm, into coffee namespace.
  - kubectl create ns coffee
  - helm install coffee-v1 ./coffeeshop-chart -n coffee --wait --timeout 300s --set baristaKafka.image.registry=registry:5000 --set baristaHttp.image.registry=registry:5000 --set coffeeshopService.image.registry=registry:5000
    # Display overall system state for kafka and coffee namespaces
  - kubectl get all -n kafka
  - kubectl get all -n coffee
    # Forward local port (kind does not expose NodePort to host network)
  - kubectl port-forward service/coffee-v1-coffeeshop-service 8080 -n coffee &
    # Wait for port forwarding, test system
  - sleep 5 && ./ci-test.sh 8080 coffee ; export TEST_RC=$?
    # If the test failed, dump the logs for coffeeshop-service and barista-kafka
  - if [ $TEST_RC -ne 0 ]; then kubectl logs deployment/coffee-v1-coffeeshop-service -n coffee ; kubectl logs deployment/coffee-v1-barista-kafka -n coffee ; (exit $TEST_RC) ; fi