34 lines
1.1 KiB
Plaintext
34 lines
1.1 KiB
Plaintext
pipeline {
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agent {
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docker {
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image 's449288/ium:lab8.1'
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}
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}
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parameters {
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string(
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defaultValue: '{\\"inputs\\": [0, 0, 2, 904.129525, 1, 1, 20.098413, 79.10786]}',
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description: 'Input example in json format',
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name: 'INPUT'
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)
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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: 'BUILD_SELECTOR'
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)
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}
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stages {
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stage('Stage 1') {
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steps {
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echo 'Copying model from s444417-training...'
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copyArtifacts filter: 'mlruns.tar.gz', projectName: 's444417-training/master', selector: buildParameter('BUILD_SELECTOR')
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sh 'mkdir mlruns_s444417 && tar xvzf mlruns.tar.gz -C mlruns_s444417 --strip-components 1'
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echo 'Model copied'
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echo 'Making a prediction...'
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sh 'echo ${params.INPUT} > input_example.json'
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sh 'python3 predict_artifact.py'
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echo 'Prediction made'
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}
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}
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}
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}
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