2021-05-10 19:36:19 +02:00
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pipeline {
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agent {dockerfile true}
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parameters {
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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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stages {
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stage('copyArtifacts') {
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steps {
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copyArtifacts fingerprintArtifacts: true, projectName: 's434804-create-dataset', selector: buildParameter('BUILD_SELECTOR')
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}
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}
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stage('training') {
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steps {
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2021-05-23 15:19:02 +02:00
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sh 'chmod +x tensor.py'
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sh 'python3 tensor.py'
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2021-05-23 15:03:51 +02:00
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sh 'rm -rf country_vaccination'
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2021-05-23 14:20:16 +02:00
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sh 'chmod +x mlflow_model.py'
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sh 'python3 mlflow_model.py'
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2021-05-10 19:36:19 +02:00
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}
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}
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stage('archiveArtifacts') {
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steps{
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archiveArtifacts 'vaccines_model/saved_model.pb'
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2021-05-23 14:31:25 +02:00
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archiveArtifacts 'country_vaccination/**'
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2021-05-10 19:36:19 +02:00
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}
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}
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stage('sendMail') {
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steps{
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emailext body: currentBuild.result ?: 'TRAINING SUCCESS',
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subject: 's434804',
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to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
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}
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}
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}
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}
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