33 lines
1.3 KiB
Plaintext
33 lines
1.3 KiB
Plaintext
pipeline {
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agent {
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docker { image 's444507_create_dataset_image:latest' }
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}
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parameters {
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string(name: 'epoch', defaultValue: '1000', description: 'Number of epochs to train model.')
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buildSelector(defaultSelector: lastSuccessful(), description: 'Which build to use for copying artifacts', name: 'BUILD_SELECTOR')
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gitParameter branchFilter: 'origin/(.*)', defaultValue: 'master', name: 'BRANCH', type: 'PT_BRANCH'
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}
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stages {
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stage('Get arifacts') {
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steps {
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copyArtifacts fingerprintArtifacts: true, projectName: 's444507-evaluation', selector: lastSuccessful()
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copyArtifacts fingerprintArtifacts: true, projectName: 's444507-create-dataset', selector: lastSuccessful()
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copyArtifacts fingerprintArtifacts: true, projectName: 's444507-training/${BRANCH}', selector: lastSuccessful()
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}
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}
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stage('Run evaluation') {
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steps {
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sh "python3 ./lab06_evaluation.py $BUILD_SELECTOR"
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}
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}
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}
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post {
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success {
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archiveArtifacts artifacts: 'metrics.csv', followSymlinks: false
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}
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always {
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emailext body: "${currentBuild.currentResult}", subject: 's444507-evaluation', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
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}
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}
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} |