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58 lines (55 loc) · 1.78 KB
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pipeline {
agent any
options{
buildDiscarder(logRotator(numToKeepStr: '5', daysToKeepStr: '5'))
timestamps()
}
environment{
registry = 'hienphantt161/diabetes-prediction'
registryCredential = 'dockerhub'
}
stages {
stage('Test') {
agent {
docker {
image 'python:3.9'
}
}
steps {
echo 'Testing model correctness..'
sh 'pip install -r requirements.txt && pytest tests/ --verbose'
}
}
stage('Build') {
steps {
script {
echo 'Building image for deployment..'
dockerImage = docker.build registry + ":$BUILD_NUMBER"
echo 'Pushing image to dockerhub..'
docker.withRegistry( '', registryCredential ) {
dockerImage.push()
dockerImage.push('latest')
}
}
}
}
stage('Deploy') {
agent {
kubernetes {
containerTemplate {
name 'helm' // Name of the container to be used for helm upgrade
image 'fullstackdatascience/jenkins-k8s:lts' // The image containing helm
imagePullPolicy 'Always' // Always pull image in case of using the same tag
}
}
}
steps {
script {
container('helm') {
sh("helm upgrade --install diabetes-prediction ./infra/helm_charts --namespace model-serving --create-namespace")
}
}
}
}
}
}