youtube id extractor, named parameters

client/lib/detail.dart

@@ -1,11 +1,12 @@
 import 'package:flutter/material.dart';
 import 'package:youtube_player_flutter/youtube_player_flutter.dart';
+import 'package:pr12er/utils/extractor.dart';
 
 class DetailApp extends StatelessWidget {
   late String url;
 
   DetailApp(String url) {
-    this.url = url;
+    this.url = Extractor.extractYoutubeId(url);
   }
 
   @override

client/lib/main.dart

@@ -64,19 +64,22 @@ class _ClientState extends State<Client> {
               padding: const EdgeInsets.all(8),
               itemCount: snapshot.data.length,
               itemBuilder: (BuildContext context, int index) {
-                return getTile(
-                    index,
-                    snapshot.data[index].title,
-                    snapshot.data[index].presenter,
-                    "현재 키워드 지원(X)",
-                    snapshot.data[index].category,
-                    snapshot.data[index].link);
+                return getTile(index,
+                    title: snapshot.data[index].title,
+                    presenter: snapshot.data[index].presenter,
+                    keyword: "현재 키워드 지원(X)",
+                    category: snapshot.data[index].category,
+                    url: snapshot.data[index].link);
               });
         });
   }
 
-  Widget getTile(int index, String title, String presenter, String keyword,
-      Category category, String url) {
+  Widget getTile(int index,
+      {String title = "",
+      String presenter = "",
+      String keyword = "",
+      Category category = Category.CATEGORY_UNSPECIFIED,
+      String url = ""}) {
     return Card(
       child: ListTile(
         leading: Column(

client/lib/test-server.dart

@@ -15,88 +15,88 @@ class GreeterService extends Pr12erServiceBase {
     List<Video> videos = <Video>[
       Video(
           id: 1,
-          link: "L3hz57whyNw",
+          link: "https://youtu.be/L3hz57whyNw",
           numberOfLike: 10,
           presenter: "유재준",
           title: "Generative Adversarial Nets",
           category: Category.CATEGORY_VISION),
       Video(
           id: 1,
-          link: "RRwaz0fBQ0Y",
+          link: "https://youtu.be/RRwaz0fBQ0Y",
           numberOfLike: 10,
           presenter: "엄태웅",
           title: "Deformable Convolutional Networks",
           category: Category.CATEGORY_VISION),
       Video(
           id: 1,
-          link: "_Dp8u97_rQ0",
+          link: "https://youtu.be/_Dp8u97_rQ0",
           numberOfLike: 10,
           presenter: "곽근봉",
           title:
               "Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation",
           category: Category.CATEGORY_NLP),
       Video(
           id: 1,
-          link: "1jGr_OFyfa0",
+          link: "https://youtu.be/1jGr_OFyfa0",
           numberOfLike: 10,
           presenter: "전태균",
           title:
               "Image Super-Resolution using Deep Convolutional Neural Networks",
           category: Category.CATEGORY_VISION),
       Video(
           id: 1,
-          link: "V7_cNTfm2i8",
+          link: "https://youtu.be/V7_cNTfm2i8",
           numberOfLike: 10,
           presenter: "김성훈",
           title: "Playing Atari with Deep Reinforcement Learning",
           category: Category.CATEGORY_UNSPECIFIED),
       Video(
           id: 1,
-          link: "2wbDiZCWQtY",
+          link: "https://youtu.be/2wbDiZCWQtY",
           numberOfLike: 10,
           presenter: "서기호",
           title: "Neural Turing Machines",
           category: Category.CATEGORY_UNSPECIFIED),
       Video(
           id: 1,
-          link: "YF6nLVDlznE",
+          link: "https://youtu.be/YF6nLVDlznE",
           numberOfLike: 10,
           presenter: "김승일",
           title: "Deep Photo Style Transfer",
           category: Category.CATEGORY_VISION),
       Video(
           id: 1,
-          link: "jbnjzyJDldA",
+          link: "https://youtu.be/jbnjzyJDldA",
           numberOfLike: 10,
           presenter: "정동준",
           title:
               "Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth",
           category: Category.CATEGORY_VISION),
       Video(
           id: 1,
-          link: "tOItokBZSfU",
+          link: "https://youtu.be/tOItokBZSfU",
           numberOfLike: 10,
           presenter: "정영재",
           title: "Distilling the Knowledge in a Neural Network",
           category: Category.CATEGORY_UNSPECIFIED),
       Video(
           id: 1,
-          link: "KYA-GEhObIs",
+          link: "https://youtu.be/KYA-GEhObIs",
           numberOfLike: 10,
           presenter: "차준범",
           title: "Auto-Encoding Variational Bayes",
           category: Category.CATEGORY_VISION),
       Video(
           id: 1,
-          link: "kcPAGIgBGRs",
+          link: "https://youtu.be/kcPAGIgBGRs",
           numberOfLike: 10,
           presenter: "이진원",
           title:
               "Faster R-CNN: Towards Real-time Object Detection with Region Proposal Networks",
           category: Category.CATEGORY_VISION),
       Video(
           id: 1,
-          link: "n2J7giHrS-Y",
+          link: "https://youtu.be/n2J7giHrS-Y",
           numberOfLike: 10,
           presenter: "유재준",
           title: "Domain Adversarial Training of Neural Network",

client/lib/utils/extractor.dart

@@ -0,0 +1,6 @@
+class Extractor {
+  static String extractYoutubeId(String url) {
+    final int index = url.lastIndexOf('/');
+    return url.substring(index + 1);
+  }
+}

client/test/main_test.dart

@@ -1,6 +1,7 @@
 import 'package:flutter/material.dart';
 import 'package:flutter_test/flutter_test.dart';
 import 'package:pr12er/main.dart';
+import 'package:pr12er/utils/extractor.dart';
 
 void main() {
   testWidgets('MainWidget has a load view', (WidgetTester tester) async {
@@ -12,4 +13,10 @@ void main() {
     final titleFinder = find.text('pr12errrrrrrrrrrrrrrrrrrr');
     expect(titleFinder, findsOneWidget);
   });
+
+  test('only id from youtube url should be extracted', () {
+    final url = "https://youtu.be/V7_cNTfm2i8";
+    String extractedId = Extractor.extractYoutubeId(url);
+    expect("V7_cNTfm2i8", extractedId);
+  });
 }