From 3f421a765bc90a2aa7c8f84816e0ec8b3d588a8f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Jakub=20Zar=C4=99ba?= <k.mjayk@gmail.com>
Date: Wed, 10 May 2023 15:44:36 +0200
Subject: [PATCH] t

---
 Jenkinsfile    | 21 +++------------------
 Jenkinsfile2   |  2 +-
 JenkinsfileDL  |  2 +-
 predictions.py |  2 +-
 train.py       |  2 +-
 5 files changed, 7 insertions(+), 22 deletions(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 4ca2572..795b11d 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -51,13 +51,11 @@ pipeline {
                                 #!/bin/bash
                                 pip install kaggle
 
-                                kaggle datasets download -d nitishsharma01/olympics-124-years-datasettill-2020
-
-                                unzip -o olympics-124-years-datasettill-2020.zip
+                                git clone https://git.wmi.amu.edu.pl/s487187/ium_487187.git
 
                                 echo "Processed Data" > output.txt
                             '''
-                            sh "head -n ${params.CUTOFF} olympics-124-years-datasettill-2020/Athletes_summer_games.csv"
+                            sh "head -n ${params.CUTOFF} data.csv"
                         }
                     } catch (err) {
                         error "Failed to build: ${err.message}"
@@ -66,19 +64,6 @@ pipeline {
             }
         }
 
-        stage('Clone Git Repository') {
-            when { expression { params.KAGGLE_USERNAME && params.KAGGLE_KEY } }
-            steps {
-                script {
-                    try {
-                        git 'https://git.wmi.amu.edu.pl/s487187/ium_487187.git'
-                    } catch (err) {
-                        error "Failed to clone repository: ${err.message}"
-                    }
-                }
-            }
-        }
-
         stage('End') {
             when { expression { params.KAGGLE_USERNAME && params.KAGGLE_KEY } }
             steps {
@@ -92,4 +77,4 @@ pipeline {
             }
         }
     }
-}
\ No newline at end of file
+}
diff --git a/Jenkinsfile2 b/Jenkinsfile2
index dc8a539..d703b9d 100644
--- a/Jenkinsfile2
+++ b/Jenkinsfile2
@@ -47,7 +47,7 @@ pipeline {
                 sh '''
                     #!/bin/bash
                     
-                    python3 count_lines.py --input_file olympics-124-years-datasettill-2020/Athletes_summer_games.csv > output.txt
+                    python3 count_lines.py --input_file olympics-124-years-datasettill-2020/Athletes_winter_games.csv > output.txt
                 '''
             }
         }
diff --git a/JenkinsfileDL b/JenkinsfileDL
index 6d057c1..f2743fe 100644
--- a/JenkinsfileDL
+++ b/JenkinsfileDL
@@ -12,7 +12,7 @@ pipeline {
         stage('Pobierz dane') {
             steps {
                 script {
-                    copyArtifacts(projectName: 's487187-create-dataset', filter: '*.csv', target: 'data', fingerprintArtifacts: true)
+                    copyArtifacts(projectName: 's487187-create-dataset', filter: '*.csv', target: 'Athletes_winter_games.csv', fingerprintArtifacts: true)
                 }
             }
         }
diff --git a/predictions.py b/predictions.py
index 173d9a6..7c0eb6a 100644
--- a/predictions.py
+++ b/predictions.py
@@ -4,7 +4,7 @@ from sklearn.preprocessing import MinMaxScaler
 
 model = tf.keras.models.load_model('model.h5')
 
-data = pd.read_csv('data.csv', sep=';') 
+data = pd.read_csv('Athletes_winter_games.csv', sep=';') 
 
 data = pd.get_dummies(data, columns=['Sex', 'Medal'])
 data = data.drop(columns=['Name', 'Team', 'NOC', 'Games', 'Year', 'Season', 'City', 'Sport', 'Event'])
diff --git a/train.py b/train.py
index 808e67b..c421462 100644
--- a/train.py
+++ b/train.py
@@ -5,7 +5,7 @@ import tensorflow as tf
 from imblearn.over_sampling import SMOTE
 
 smote = SMOTE(random_state=42)
-data = pd.read_csv('data.csv', sep=';')
+data = pd.read_csv('Athletes_winter_games.csv', sep=';')
 
 print('Total rows:', len(data))
 print('Rows with medal:', len(data.dropna(subset=['Medal'])))