48 lines
1.5 KiB
Plaintext
48 lines
1.5 KiB
Plaintext
pipeline {
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agent {docker { image 'snowycocoon/ium_434788:4'}}
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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: 'WHICH_BUILD'
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)
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}
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stages {
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stage('copy artifacts')
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{
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steps
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{
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sh 'rm -r my_model'
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sh 'rm -r model'
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copyArtifacts(fingerprintArtifacts: true, projectName: 's434695-training/train', selector: buildParameter('WHICH_BUILD'))
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}
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}
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stage('predict')
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{
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steps
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{
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catchError {
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sh 'python3.8 Zadanie_09_MLflow_Predict.py ${BATCH_SIZE} ${EPOCHS}'
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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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success {
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mail body: 'SUCCESS',
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subject: 's434788 mlflow predict',
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to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
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}
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unstable {
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mail body: 'UNSTABLE', subject: 's434788 mlflow predict', to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
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}
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failure {
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mail body: 'FAILURE', subject: 's434788 mlflow predict', to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
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}
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changed {
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mail body: 'CHANGED', subject: 's434788 mlflow predict', to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
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}
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}
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} |