62 lines
1.9 KiB
Plaintext
62 lines
1.9 KiB
Plaintext
pipeline {
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agent {
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docker {
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image 's444409-create-dataset'
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}
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}
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parameters {
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gitParameter branchFilter: 'origin/(.*)', defaultValue: 'main', name: 'BRANCH', type: 'PT_BRANCH'
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buildSelector(
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defaultSelector: lastSuccessful(),
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description: 'Which build to use for copying artifacts',
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name: 'BUILD_SELECTOR'
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)
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}
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environment {
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NOTIFICATION_ADDRESS = 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
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}
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stages {
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stage('Get dataset') {
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steps {
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copyArtifacts projectName: 's444409-create-dataset', selector: lastSuccessful(), optional: true
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}
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}
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stage('Get model trend') {
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steps {
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copyArtifacts projectName: "s444409-training/${params.BRANCH}/", selector: buildParameter('BUILD_SELECTOR'), optional: true
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}
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}
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stage('Get previous trend') {
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steps {
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copyArtifacts projectName: "s444409-evaluation/${params.BRANCH}/", selector: buildParameter('BUILD_SELECTOR'), optional: true
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}
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}
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stage('Evaluate model and write results to file') {
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steps {
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sh "python eval_model.py"
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script {
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LOSS = sh(script: 'tail -1 evaluation_results.txt', returnStdout: true).trim()
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}
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}
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}
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}
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post {
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always {
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archiveArtifacts artifacts: 'evaluation_results.txt', onlyIfSuccessful: true
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archiveArtifacts artifacts: 'trend.png', onlyIfSuccessful: true
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}
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success {
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emailext body: "Evaluation results: RMSE:${LOSS}", subject: "${env.JOB_NAME}", to: "${env.NOTIFICATION_ADDRESS}"
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}
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failure {
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emailext body: 'FAILURE', subject: "${env.JOB_NAME}", to: "${env.NOTIFICATION_ADDRESS}"
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}
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}
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}
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