updated to combine docker with jenkins
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68
Jenkinsfile1
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Jenkinsfile1
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pipeline {
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agent any
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parameters{
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string(
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defaultValue: 'mattkrawl',
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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: '8e6132e627c5c176f7e19d880270d22e',
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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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string(
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defaultValue: '100',
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description: 'CUTOFF',
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name: 'CUTOFF',
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trim: false
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)
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}
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stages {
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stage('clear_all') {
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steps {
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sh 'rm -rf *'
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}
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}
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stage('Build'){
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steps{
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//cloning github
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sh 'git clone https://git.wmi.amu.edu.pl/s458023/ium_458023'
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//running Build
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withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}",
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"KAGGLE_KEY=${params.KAGGLE_KEY}" ]) {
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// downloading and unzipping kaggle dataset
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sh 'kaggle datasets download -d arnabchaki/data-science-salaries-2023'
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sh 'unzip data-science-salaries-2023.zip -d ./ium_458023'
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// removing zip file
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sh 'rm data-science-salaries-2023.zip'
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sh 'ls -a'
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sh 'ls -a ./ium_458023'
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}
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}
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}
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stage('Docker'){
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agent{
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dockerfile{
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filename 'Dockerfile'
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dir 'ium_458023'
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reuseNode true
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}
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}
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steps{
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sh 'ls -a'
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sh 'python ium_458023/create-dataset.py'
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archiveArtifacts 'salaries_test.csv'
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archiveArtifacts 'salaries_dev.csv'
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archiveArtifacts 'salaries_train.csv'
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}
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}
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}
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}
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63
JenkinsfileCreateDataset
Normal file
63
JenkinsfileCreateDataset
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pipeline {
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agent {
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dockerfile {
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filename 'lab4.dockerfile'
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reuseNode true
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}
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}
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parameters{
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string(
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defaultValue: 'mattkrawl',
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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: 'c21878a7463faa44361330ffbcea68a6',
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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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string(
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defaultValue: '1000',
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description: 'CUTOFF',
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name: 'CUTOFF',
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trim: false
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)
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}
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stages {
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stage('Checkout') {
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steps {
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checkout scmGit(
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branches: [[name: '*/master']],
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extensions: [cleanBeforeChceckout()],
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userRemoteConfigs: [[url: 'https://git.wmi.amu.edu.pl/s458023/ium_458023.git']]
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)
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}
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}
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stage('Prepare data'){
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steps{
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//running Build
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withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}",
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"KAGGLE_KEY=${params.KAGGLE_KEY}" ]) {
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// downloading and unzipping kaggle dataset
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sh 'echo "{\"username\":\"$KAGGLE_USERNAME\",\"key\":\"$KAGGLE_KEY\"}" > /.kaggle/kaggle.json'
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sh './get-data.sh'
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sh 'python3 prepare_dataset.py'
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}
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}
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}
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stage('Archive artifacts'){
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steps{
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withEnv(["CUTOFF=${params.CUTOFF}"]){
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archiveArtifacts 'wines_test.csv'
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archiveArtifacts 'wines_dev.csv'
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archiveArtifacts 'wines_train.csv'
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}
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}
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}
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}
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}
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