Zadanie 2 część 2

Dockerfile

@@ -7,3 +7,4 @@ COPY ["requirements.txt", "./"]
 RUN pip3 install -r requirements.txt
 
 COPY ["Zadanie 1.py", "."]
+COPY ["stats.py", "."]

Jenkinsfile

@@ -16,7 +16,7 @@ pipeline {
         )
     }
     stages {
-        stage('docker: Download artifacts')
+        stage('download and process data')
         {
             steps {
                 withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}",

Jenkinsfile-stat

@@ -1,5 +1,7 @@
 pipeline {
-    agent any 
+    agent {
+        docker { image 'adnovac/ium_s434760:latest' }
+    }
     parameters{
         buildSelector(
             defaultSelector: lastSuccessful(),
@@ -8,23 +10,12 @@ pipeline {
         )
     }
     stages {
-        stage('checkout: Check out from version control') {
-            steps {
-                git 'https://git.wmi.amu.edu.pl/s434760/ium_434760.git' 
-            }
-        }
         stage('copy artifacts')
         {
             steps
             {
                 copyArtifacts(fingerprintArtifacts: true, projectName: 's434760-create-dataset', selector: buildParameter('WHICH_BUILD'))
-            }
+                sh 'python3.8 stats.py'
-        }
-        stage('sh: Shell Script')
-        {
-            steps {
-                    sh "chmod 777 ./script_stat.sh"
-                    sh './script_stat.sh'
             }
         }
         stage('archive artifacts') {

script.sh

@@ -1,9 +0,0 @@
-kaggle datasets download -d karangadiya/fifa19
-unzip -o fifa19.zip
-
-x=$(($CUTOFF/10))
-head -n 1 data.csv > header.csv
-tail -n +2 data.csv| tail -n $CUTOFF | shuf > data_shuf.csv
-head -n $(($x*2)) data_shuf.csv > test.csv
-head -n $(($x*2)) data_shuf.csv | tail -n 3330 > validation.csv
-tail -n $(($x*6)) data_shuf.csv > train.csv

script_stat.sh

@@ -1,4 +0,0 @@
-wc -l data_shuf.csv >> stat.txt
-wc -l train.csv >> stat.txt
-wc -l test.csv >> stat.txt
-wc -l validation.csv >> stat.txt

stats.py

@@ -0,0 +1,19 @@
+stats = []
+with open("data.csv", "r") as f:
+    lines_count = len(f.readlines())
+    stats.append(f"data.csv - {lines_count} lines\n")
+
+with open("dev.csv", "r") as f:
+    lines_count = len(f.readlines())
+    stats.append(f"dev.csv - {lines_count} lines\n")
+    
+with open("test.csv", "r") as f:
+    lines_count = len(f.readlines())
+    stats.append(f"test.csv - {lines_count} lines\n")
+    
+with open("train.csv", "r") as f:
+    lines_count = len(f.readlines())
+    stats.append(f"train.csv - {lines_count} lines\n")
+    
+with open("stat.txt", "w+") as f:
+    f.writelines(stats)