From 6ae3a73a7e745e3667588af7ede1658d258cca56 Mon Sep 17 00:00:00 2001 From: Erik Foris Date: Fri, 5 Jul 2024 12:19:47 +0200 Subject: [PATCH] refactor: Add licence field to Dataset constructor --- .../de/uni_passau/fim/PADAS/group3/DataDash/model/Dataset.java | 3 ++- .../fim/PADAS/group3/DataDash/model/LoadDummyDatabase.java | 2 +- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/src/main/java/de/uni_passau/fim/PADAS/group3/DataDash/model/Dataset.java b/src/main/java/de/uni_passau/fim/PADAS/group3/DataDash/model/Dataset.java index 7f78848..7877d53 100644 --- a/src/main/java/de/uni_passau/fim/PADAS/group3/DataDash/model/Dataset.java +++ b/src/main/java/de/uni_passau/fim/PADAS/group3/DataDash/model/Dataset.java @@ -50,7 +50,7 @@ public class Dataset { @ManyToOne private Category categorie; - public Dataset(String title, String abst, String description, String author, URL url, Category categories, Type type) { + public Dataset(String title, String abst, String description, String author, URL url, Category categories, Type type, String licence) { this.raiting = 0; this.votes = 0; @@ -63,6 +63,7 @@ public class Dataset { setCategorie(categories); setType(type); setUrl(url); + setLicence(licence); } public Dataset() { diff --git a/src/main/java/de/uni_passau/fim/PADAS/group3/DataDash/model/LoadDummyDatabase.java b/src/main/java/de/uni_passau/fim/PADAS/group3/DataDash/model/LoadDummyDatabase.java index ba3dd32..6600bdb 100644 --- a/src/main/java/de/uni_passau/fim/PADAS/group3/DataDash/model/LoadDummyDatabase.java +++ b/src/main/java/de/uni_passau/fim/PADAS/group3/DataDash/model/LoadDummyDatabase.java @@ -25,7 +25,7 @@ public class LoadDummyDatabase { Category category = new Category("Category" + i); log.info("Preloading" + categoryRepository.save(category)); - Dataset dataset = new Dataset("Title" + i, "Abst" + i, "Description" + i, "Author" + i,null, category, Type.API); + Dataset dataset = new Dataset("Title" + i, "Abst" + i, "Description" + i, "Author" + i,null, category, Type.API, "MIT"); for (int j = 0; j < new Random().nextInt(50); j++) { dataset.upvote(); }