43 lines
1.1 KiB
Plaintext
43 lines
1.1 KiB
Plaintext
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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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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 previousl trend') {
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steps {
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copyArtifacts projectName: 's444409-evaluate', selector: lastSuccessful(), 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',
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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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