zad4 test 7

Dockerfile

@@ -7,6 +7,11 @@ RUN gcc --version
 RUN apt install -y build-essential
 RUN apt install num-utils
 RUN apt install bc
+RUN apt install software-properties-common
+RUN add-apt-repository ppa:deadsnakes/ppa
+RUN apt install python3.7
+RUN apt install python3-pip
+RUN pip3 install matplotlib
 RUN git clone https://github.com/usnistgov/SCTK.git
 WORKDIR SCTK
 RUN make config && make all && make check &&  make install && make doc

jenkinsfile2

@@ -0,0 +1,29 @@
+pipeline {
+   agent { dockerfile true }
+   stages {
+      stage('Cloning GIT') {
+         steps {
+           checkout([$class: 'GitSCM', branches: [[name: '*/master']], doGenerateSubmoduleConfigurations: false, extensions: [], submoduleCfg: [], userRemoteConfigs: [[url: 'https://git.wmi.amu.edu.pl/s452108/s452108-mlworkshops']]])
+         }
+      }
+      stage('Copy Artifacts') {
+         steps {
+copyArtifacts filter: 'averagesrr.txt', fingerprintArtifacts: true, projectName: 's452108-metrics', selector: lastSuccessful()
+copyArtifacts filter: 'averagewer.txt', fingerprintArtifacts: true, projectName: 's452108-metrics', selector: lastSuccessful()
+         }
+      }
+      stage('Plot') {
+         steps {
+		sh label: '', script: 'python3 plotwer.py'
+		sh label: '', script: 'python3 plotsrr.py'
+         }
+      }
+      stage('Archive atifacts') {
+         steps {
+archiveArtifacts 'plotwer.png'
+archiveArtifacts 'plotsrr.png'
+         }
+      }
+   }
+}
+

plotsrr.py

@@ -0,0 +1,20 @@
+import matplotlib.pyplot as plt
+import csv
+
+x = []
+y = []
+i = 0
+
+with open('averagesrr.txt','r') as csvfile:
+    plots = csv.reader(csvfile, delimiter=' ')
+    for row in plots:
+        x.append(round(row[0], 2))
+        y.append(i)
+	i=i+1
+
+plt.plot(x,y, label='SRR')
+plt.xlabel('SRR')
+plt.ylabel('Numer')
+plt.title('Wykres średni SRR')
+plt.legend()
+plt.savefig('plotsrr.png')

plotwer.py

@@ -0,0 +1,20 @@
+import matplotlib.pyplot as plt
+import csv
+
+x = []
+y = []
+i = 0
+
+with open('averagewer.txt','r') as csvfile:
+    plots = csv.reader(csvfile, delimiter=' ')
+    for row in plots:
+        x.append(round(row[0], 2))
+        y.append(i)
+	i=i+1
+
+plt.plot(x,y, label='WER')
+plt.xlabel('WER')
+plt.ylabel('Numer')
+plt.title('Wykres średni WER')
+plt.legend()
+plt.savefig('plotwer.png')