new branch

Dockerfile

@@ -5,6 +5,7 @@ FROM ubuntu:latest
 RUN apt update && apt install -y figlet
 RUN apt install -y git
 RUN apt install -y python3-pip
+RUN pip3 install --user setuptools
 RUN pip3 install --user kaggle
 RUN pip3 install --user pandas
 RUN pip3 install --user numpy
@@ -12,13 +13,19 @@ RUN pip3 install --user seaborn
 RUN pip3 install --user sklearn
 RUN pip3 install --user matplotlib
 RUN pip3 install --user tensorflow
+RUN pip3 install --user sacred
 RUN pip3 install --user wget
+RUN pip3 install --user keras
+RUN pip3 install --user GitPython
+RUN pip3 install --user pymongo
+
 
 WORKDIR /app
 
+COPY ./train.py ./
+COPY ./evaluate.py ./
+COPY ./sacred1.py ./
+COPY ./sacred2.py ./
 COPY ./skrypt.sh ./
 COPY ./zadanie2.py ./
 COPY ./zadanie5.py ./
-
-CMD ./zadanie2.py
-CMD ./zadanie5.py

Jenkinsfile

@@ -1,40 +1,59 @@
 pipeline {
-      agent { 
-      dockerfile true 
-   }  
-   //Definijuemy parametry, które będzie można podać podczas wywoływania zadania
-   parameters {
-     string (
-         defaultValue: '10000',
-         description: 'Obcięcie zbioru',
-         name: 'CUTOFF',
-         trim: false
+   agent any;
+
+   parameters{
+      buildSelector(
+            defaultSelector: lastSuccessful(),
+            description: 'Which build to use for copying artifacts',
+            name: 'WHICH_BUILD'
+        )
+        string(
+            defaultValue: '16',
+            description: 'batch size',
+            name: 'BATCH_SIZE'
+        )
+        string(
+            defaultValue: '15', 
+            description: 'epochs',
+            name: 'EPOCHS'
+            
         )
    }
    stages {
-      stage('Test') {
-        steps {
-            sh 'cat /etc/issue'
-         }
-      }
-      stage('checkout: Check out from version control') {
-         steps {
-            git credentialsId: 'f746c8e0-e974-4758-838d-1920a7b0e3dc', url: 'https://git.wmi.amu.edu.pl/s434695/ium_434695.git'
-         }
-      }
-      stage('sh: Shell Script') {
-         steps {
-            sh 'chmod +x skrypt.sh'
-            sh './skrypt.sh ${CUTOFF}'
-         }
-      }
-      stage('Artifacts') {
-         steps {
-            archiveArtifacts 'test.csv'
-            archiveArtifacts 'dev.csv'
-            archiveArtifacts 'train.csv'
-            archiveArtifacts 'obcietedane.csv'
-         }
-      }
+      stage('checkout') {
+            steps {
+               copyArtifacts fingerprintArtifacts: true, projectName: 's434695-create-dataset', selector: buildParameter('WHICH_BUILD')
+            }
+        }
+        stage('docker-training') {
+			steps {
+                script {
+                    def img = docker.build('shroomy/ium2:1')
+                    img.inside {
+                        sh "python3 train.py"
+                        sh "python3 sacred1.py"
+                        sh "python3 sacred2.py"
+                 
+                    }
+                }
+			}
+		}
+      stage('archiveArtifacts') {
+			steps{
+                archiveArtifacts 'ium_s434695/**'
+				archiveArtifacts 'model1'
+			}
+		}
+    }
+    post {
+        success {
+            build job: 's434695-evaluation/master'
+            mail body: 'SUCCESS TRAINING', subject: 's434695', to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
+        }
+
+        failure {
+            mail body: 'FAILURE TRAINING', subject: 's434695', to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
+        }
+
    }
 }