44 lines
1.5 KiB
Groovy
44 lines
1.5 KiB
Groovy
pipeline {
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agent {
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dockerfile true
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}
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triggers {
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upstream(upstreamProjects: 's464953-training/training', threshold: hudson.model.Result.SUCCESS)
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}
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parameters {
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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: 'training', name: 'BRANCH', type: 'PT_BRANCH'
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}
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stages {
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stage('Clone Repository') {
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steps {
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git 'https://git.wmi.amu.edu.pl/s464953/ium_464953.git'
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}
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}
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stage('Copy Training Artifacts') {
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steps {
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copyArtifacts filter: 'artifacts/*', projectName: 's464953-training/' + params.BRANCH, selector: buildParameter('BUILD_SELECTOR')
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}
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}
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stage('Copy Evaluation Artifacts') {
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steps {
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copyArtifacts filter: 'metrics_df.csv', projectName: '_s464953-evaluation/evaluation', selector: buildParameter('BUILD_SELECTOR'), optional: true
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}
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}
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stage('Run Script') {
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steps {
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sh "python3 /app/use_model.py ${currentBuild.number}"
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}
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}
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stage('Archive Artifacts') {
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steps {
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archiveArtifacts artifacts: 'metrics_df.csv, spotify_genre_predictions.csv, F1_score_plot.png, RMSE_plot.png, Accuracy_plot.png', onlyIfSuccessful: true
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}
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}
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}
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}
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