49 lines
1.3 KiB
Groovy
49 lines
1.3 KiB
Groovy
pipeline {
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agent {
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dockerfile true
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}
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stages {
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stage('Copy Archive') {
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steps {
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script {
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step ([$class: 'CopyArtifact',
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projectName: 's434700-create-dataset',
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filter: '*.csv',
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target: 'datasets'])
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}
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}
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}
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stage('checkout: Check out from version control') {
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steps {
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git 'https://git.wmi.amu.edu.pl/s434700/ium_s434700.git'
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}
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}
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stage('learning') {
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steps {
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sh 'python ./learning/ml.py'
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sh "python ./learning/ml-mlflow.py"
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sh "export MLFLOW_TRACKING_URI=http://172.17.0.1:5000"
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sh "python ./learning/ml-mlflow.py"
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sh "ls -l"
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}
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}
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stage('archiveArtifacts') {
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steps {
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archiveArtifacts 'model.pt'
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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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build job: 's434700-evaluation/master'
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mail body: 'SUCCESS TRAINING', subject: 's434700', to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
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}
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failure {
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mail body: 'FAILURE TRAINING', subject: 's434700', to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
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}
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}
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}
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