52 lines
1.7 KiB
Plaintext
52 lines
1.7 KiB
Plaintext
pipeline{
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agent any
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parameters {
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gitParameter(
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name: 'BRANCH',
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type: 'branch',
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defaultValue: 'master',
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description: 'Select the branch of training'
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)
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buildSelector(
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name: 'BUILD_SELECTOR',
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description: 'Which build to use for copying artifacts',
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defaultSelector: lastSuccessful()
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)
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}
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stages{
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stage('Copy model artifacts with test dataset') {
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steps {
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script {
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// Biblioteka w Jenkis automatycznie dopisuje origin przed nazwą brancha
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// dlatego wprowadziłem poniższe przekształcenie
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def branchName = params.BRANCH ?: 'master'
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branchName = branchName.replaceFirst('origin/', '')
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def myProject = "z-s487175-training/${branchName}"
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copyArtifacts(
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projectName: myProject,
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fingerprintArtifacts: true,
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selector: build(name: params.BUILD_SELECTOR)
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)
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}
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}
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}
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stage('Prediction'){
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steps{
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sh "docker run -v ${env.WORKSPACE}:/app ium chmod 777 /app/model_with_data.pickle"
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sh "docker run -v ${env.WORKSPACE}:/app ium python3 /app/DL-prediction.py"
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}
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}
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stage('Archive prediction results'){
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steps{
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sh "docker cp \$(docker ps -l -q):/app/results_prediction.csv ${env.WORKSPACE}"
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archiveArtifacts artifacts: 'results_prediction.csv', fingerprint: true
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}
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}
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}
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} |