try downloading kaggle dataset
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pipeline {
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pipeline {
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agent any
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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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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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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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sh "mkdir ${datasetDir}"
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// Download the dataset
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withCredentials([string(value: params.KAGGLE_KEY, variable: 'KAGGLE_API_TOKEN')]) {
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sh "KAGGLE_CONFIG_DIR=. 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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stage('Checkout') {
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steps {
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steps {
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// Clone the public repository
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git url: 'https://git.wmi.amu.edu.pl/s495715/iumKC.git'
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git 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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stage('Run Python Script') {
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steps {
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// Execute the main.py script
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sh 'python3 main.py'
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}
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}
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stage('Archive Artifacts') {
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steps {
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// Archive any artifacts generated by the script
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// Adjust the path according to your script's output
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archiveArtifacts artifacts: './football_dataset/*', fingerprint: true
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}
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}
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}
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}
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}
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}
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