89 lines
3.4 KiB
Plaintext
89 lines
3.4 KiB
Plaintext
node {
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checkout scm
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try {
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docker.image('s444452/ium:1.4').inside('-v /mlruns:/mlruns') {
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stage('Preparation') {
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properties([
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pipelineTriggers([upstream(threshold: hudson.model.Result.SUCCESS, upstreamProjects: "s444452-create-dataset")]),
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parameters([
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string(
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defaultValue: ".",
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description: 'Data path',
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name: 'DATA_PATH'
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),
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string(
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defaultValue: "1",
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description: 'EPOCHS',
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name: 'EPOCHS'
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),
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string(
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defaultValue: "20000",
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description: 'Num words',
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name: 'NUM_WORDS'
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),
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string(
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defaultValue: "150",
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description: 'Batch size',
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name: 'BATCH_SIZE'
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),
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string(
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defaultValue: "300",
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description: 'Pad length',
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name: 'PAD_LENGTH'
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)
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])
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])
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}
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stage('Copy artifacts') {
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copyArtifacts filter: 'train_data.csv', fingerprintArtifacts: true, projectName: 's444452-create-dataset'
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copyArtifacts filter: 'test_data.csv', fingerprintArtifacts: true, projectName: 's444452-create-dataset'
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}
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stage('Run script') {
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withEnv(["DATA_PATH=${params.DATA_PATH}","EPOCHS=${params.EPOCHS}","NUM_WORDS=${params.NUM_WORDS}",
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"BATCH_SIZE=${params.BATCH_SIZE}","PAD_LENGTH=${params.PAD_LENGTH}"]) {
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sh "chmod u+x Scripts/train_neural_network.py"
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sh "python3 Scripts/train_neural_network.py $DATA_PATH $EPOCHS $NUM_WORDS $BATCH_SIZE $PAD_LENGTH"
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}
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}
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stage('Archive artifacts') {
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archiveArtifacts "model/neural_net"
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archiveArtifacts "my_runs/**"
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archiveArtifacts "mlruns/**"
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}
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}
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} catch (e) {
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currentBuild.result = "FAILED"
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throw e
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} finally {
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notifyBuild(currentBuild.result)
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}
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}
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def notifyBuild(String buildStatus = 'STARTED') {
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buildStatus = buildStatus ?: 'SUCCESS'
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def subject = "Job: ${env.JOB_NAME}"
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def build_params = "Path: ${params.DATA_PATH}, Epochs: ${params.EPOCHS}, Num_words: ${params.NUM_WORDS}, Batch_size: ${params.BATCH_SIZE}, Pad_length: ${params.PAD_LENGTH}"
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def details = "Build nr: ${env.BUILD_NUMBER}, status: ${buildStatus} \n url: ${env.BUILD_URL} \n build params: ${build_params}"
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if (buildStatus == 'SUCCESS') {
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build (
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job: "s444452-evaluation/${env.BRANCH_NAME}",
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parameters: [
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gitParameter(name: "BRANCH", value: "${env.BRANCH_NAME}"),
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string(name: "BUILD_NR", value: "${env.BUILD_NUMBER}"),
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string(name: "DATA_PATH", value: "${params.DATA_PATH}"),
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string(name: "EPOCHS", value: "${params.EPOCHS}"),
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string(name: "NUM_WORDS", value: "${params.NUM_WORDS}"),
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string(name: "BATCH_SIZE", value: "${params.BATCH_SIZE}"),
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string(name: "PAD_LENGTH", value: "${params.PAD_LENGTH}")
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],
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wait: false
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)
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}
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emailext (
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subject: subject,
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body: details,
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to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
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)
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} |