57 lines
1.7 KiB
Plaintext
57 lines
1.7 KiB
Plaintext
pipeline {
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agent any
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parameters {
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string(
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defaultValue: 'karol9',
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description: 'Kaggle username',
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name: 'KAGGLE_USERNAME',
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trim: false
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)
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string(
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defaultValue: '100',
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description: 'Dataset cutoff size',
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name: 'CUTOFF'
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)
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password(
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defaultValue: '',
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description: 'Kaggle token taken from kaggle.json file, as described in https://github.com/Kaggle/kaggle-api#api-credentials',
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name: 'KAGGLE_KEY'
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)
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}
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stages {
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stage('Download Dataset') {
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steps {
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script {
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def datasetDir = 'football-semantic-segmentation'
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if (!fileExists(datasetDir)) {
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sh "mkdir ${datasetDir}"
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}
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withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}",
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"KAGGLE_KEY=${params.KAGGLE_KEY}"]) {
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sh "kaggle datasets download sadhliroomyprime/football-semantic-segmentation -p ${datasetDir}"
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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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archiveArtifacts artifacts: 'football-semantic-segmentation/**', onlyIfSuccessful: true
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}
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}
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}
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stage('Checkout') {
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steps {
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git branch: 'main', url: 'https://git.wmi.amu.edu.pl/s495715/iumKC.git'
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}
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}
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stage('Stats in docker') {
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steps {
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git branch: 'main', url: 'https://git.wmi.amu.edu.pl/s495715/iumKC.git'
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}
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}
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}
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}
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