Add plot.py

Dockerfile

@@ -0,0 +1,15 @@
+FROM ubuntu:latest
+
+RUN apt update -y && apt install -y make
+RUN apt install -y git
+RUN apt install -y gcc
+RUN apt install -y python3
+RUN python3 -m pip install -U matplotlib
+RUN gcc --version
+RUN apt install -y build-essential
+RUN git clone https://github.com/usnistgov/SCTK.git
+WORKDIR SCTK
+RUN make config && make all && make check &&  make install && make doc
+ENV PATH=$PATH:/SCTK/bin
+ENV LANG C.UTF-8
+ENV LC_ALL C.UTF-8

Jenkinsfile

@@ -0,0 +1,20 @@
+pipeline {
+    agent { dockerfile true }
+    stages {
+        stage('CopyArtifacts') {
+            steps {
+                copyArtifacts filter: 'wer.txt, srr.txt', fingerprintArtifacts: true, projectName: 's407599-metrics'
+            }
+        }
+         stage('Shell script') {
+            steps {
+                sh label: '', script: './script.sh'
+            }
+        }
+        stage('ArchiveArtifacts') {
+            steps {
+                archiveArtifacts 'plot.png'
+            }
+        }
+    }
+}

plot.py

@@ -0,0 +1,18 @@
+import matplotlib.pyplot as plt
+
+if __name__ == '__main__':
+    wer = []
+    srr = []
+
+    with open('wer.txt', 'r') as w, open('srr.txt') as s:
+        for line in w:
+            wer.append(float(line.strip()))
+        for line in s:
+            srr.append(float(line.strip()))
+
+    fig, ax = plt.subplots()
+    ax.plot(list(range(1, len(wer) + 1)), wer, label='word error rate')
+    ax.plot(list(range(1, len(srr) + 1)), srr, label='sentence recognition rate')
+    ax.set_title("WER and SRR")
+    ax.legend()
+    plt.savefig('plot.png')

script.sh

@@ -0,0 +1,5 @@
+#/bin/bash
+
+tail n -50 wer.txt > tmp && mv tmp wer.txt
+tail n -50 srr.txt > tmp && mv tmp srr.txt
+python3 plot.py