#!/usr/bin/env bash

# This script runs Linkerd e2e tests for Canary initialization, analysis and promotion

set -o errexit

cat <<EOF | kubectl apply -f -
apiVersion: flagger.app/v1beta1
kind: MetricTemplate
metadata:
  name: success-rate
  namespace: linkerd
spec:
  provider:
    type: prometheus
    address: http://prometheus.linkerd-viz:9090
  query: |
    sum(
      rate(
        response_total{
          namespace="{{ namespace }}",
          deployment=~"{{ target }}",
          classification!="failure",
          direction="{{ variables.direction }}"
        }[{{ interval }}]
      )
    ) 
    / 
    sum(
      rate(
        response_total{
          namespace="{{ namespace }}",
          deployment=~"{{ target }}",
          direction="{{ variables.direction }}"
        }[{{ interval }}]
      )
    ) 
    * 100
EOF

cat <<EOF | kubectl apply -f -
apiVersion: flagger.app/v1beta1
kind: MetricTemplate
metadata:
  name: latency
  namespace: linkerd
spec:
  provider:
    type: prometheus
    address: http://prometheus.linkerd-viz:9090
  query: |
    histogram_quantile(
        0.99,
        sum(
            rate(
                response_latency_ms_bucket{
                    namespace="{{ namespace }}",
                    deployment=~"{{ target }}",
                    direction="{{ variables.direction }}"
                    }[{{ interval }}]
                )
            ) by (le)
        )
EOF

cat <<EOF | kubectl apply -f -
apiVersion: flagger.app/v1beta1
kind: Canary
metadata:
  name: podinfo
  namespace: test
spec:
  targetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: podinfo
  progressDeadlineSeconds: 60
  service:
    port: 80
    targetPort: http
    portDiscovery: true
    gatewayRefs:
      - name: podinfo
        namespace: test
        group: core
        kind: Service
        port: 80
  analysis:
    interval: 15s
    threshold: 15
    maxWeight: 50
    stepWeights: [10, 20, 30, 40, 50, 60]
    metrics:
    - name: success-rate
      templateRef:
        name: success-rate
        namespace: linkerd
      thresholdRange:
        min: 99
      interval: 1m
      templateVariables:
        direction: inbound
    - name: latency
      templateRef:
        name: latency
        namespace: linkerd
      threshold: 500
      interval: 30s
      templateVariables:
        direction: inbound
    webhooks:
      - name: load-test
        url: http://flagger-loadtester.test/
        timeout: 5s
        metadata:
          type: cmd
          cmd: "hey -z 10m -q 10 -c 2 http://podinfo.test/"
EOF

echo '>>> Waiting for primary to be ready'
retries=50
count=0
ok=false
until ${ok}; do
    kubectl -n test get canary/podinfo | grep 'Initialized' && ok=true || ok=false
    sleep 5
    count=$(($count + 1))
    if [[ ${count} -eq ${retries} ]]; then
        kubectl -n flagger-system logs deployment/flagger flagger
        echo "No more retries left"
        exit 1
    fi
done

echo '✔ Canary initialization test passed'

echo '>>> Triggering canary deployment'
kubectl -n test set image deployment/podinfo podinfod=ghcr.io/stefanprodan/podinfo:6.0.1

echo '>>> Waiting for canary promotion'
retries=50
count=0
ok=false
until ${ok}; do
    kubectl -n test describe deployment/podinfo-primary | grep '6.0.1' && ok=true || ok=false
    sleep 10
    kubectl -n flagger-system logs deployment/flagger flagger --tail 1
    count=$(($count + 1))
    if [[ ${count} -eq ${retries} ]]; then
        kubectl -n flagger-system logs deployment/flagger flagger
        echo "No more retries left"
        exit 1
    fi
done

echo '>>> Waiting for canary finalization'
retries=50
count=0
ok=false
until ${ok}; do
    kubectl -n test get canary/podinfo | grep 'Succeeded' && ok=true || ok=false
    sleep 5
    count=$(($count + 1))
    if [[ ${count} -eq ${retries} ]]; then
        kubectl -n flagger-system logs deployment/flagger flagger
        echo "No more retries left"
        exit 1
    fi
done

echo '✔ Canary promotion test passed'
