feat : ml training data

src/main/java/se/ton/t210/utils/data/DummyData.java

@@ -54,7 +54,7 @@ public void create() {
         }
     }
 
-    private List<Member> createMembers(int number) {
+    private void createMembers(int number) {
         members = new ArrayList<>();
         for (var applicationType : ApplicationType.values()) {
             for (int i = 0; i < number; i++) {
@@ -68,7 +68,6 @@ private List<Member> createMembers(int number) {
             }
         }
         memberRepository.saveAll(members);
-        return members;
     }
 
     private Map<ApplicationType, List<EvaluationItem>> createEvaluationItemTable() {

src/main/java/se/ton/t210/utils/data/initData/CsvLineStrategy.java

@@ -0,0 +1,6 @@
+package se.ton.t210.utils.data.initData;
+
+public interface CsvLineStrategy {
+
+    String retrieveNewLine();
+}

src/main/java/se/ton/t210/utils/data/initData/InitDataCSV.java

@@ -0,0 +1,49 @@
+package se.ton.t210.utils.data.initData;
+
+import java.io.BufferedWriter;
+import java.io.FileWriter;
+import java.io.IOException;
+
+public class InitDataCSV {
+
+    private static final int UNIT_COUNT = 10_000_000;
+
+    private final CsvLineStrategy csvLineStrategy;
+    private final String fileName;
+    private final int dataCount;
+    private String initialLine;
+
+    public InitDataCSV(CsvLineStrategy csvLineStrategy, String fileName, int dataCount) {
+        this.csvLineStrategy = csvLineStrategy;
+        this.fileName = fileName;
+        this.dataCount = dataCount;
+    }
+
+    public void generate() throws IOException {
+        generate(false);
+    }
+
+    public void generate(boolean appendEnable) throws IOException {
+        try (
+                final var bw = new BufferedWriter(new FileWriter(fileName, appendEnable))
+        ) {
+            if (initialLine != null) {
+                bw.append(initialLine);
+            }
+            for (int i = 0; i < dataCount / UNIT_COUNT; i++) {
+                for (int j = 0; j < UNIT_COUNT; j++) {
+                    bw.append("\n").append(csvLineStrategy.retrieveNewLine());
+                }
+            }
+            for (int i = 0; i < dataCount % UNIT_COUNT; i++) {
+                bw.append("\n").append(csvLineStrategy.retrieveNewLine());
+            }
+        }
+    }
+
+    public void setInitialLine(String line) {
+        if (line != null) {
+            this.initialLine = line;
+        }
+    }
+}

src/main/java/se/ton/t210/utils/data/initData/InitDataMain.java

@@ -0,0 +1,13 @@
+package se.ton.t210.utils.data.initData;
+
+import java.io.IOException;
+
+public class InitDataMain {
+
+    public static void main(String[] args) throws IOException {
+        var csvLineStrategy = new MLTrainingCsvLine();
+        var initDataCSV = new InitDataCSV(csvLineStrategy, "ml_training_000_001.csv", 10_000);
+        initDataCSV.setInitialLine("id,applicationType,score,month");
+        initDataCSV.generate();
+    }
+}

src/main/java/se/ton/t210/utils/data/initData/MLTrainingCsvLine.java

@@ -0,0 +1,34 @@
+package se.ton.t210.utils.data.initData;
+
+import se.ton.t210.domain.type.ApplicationType;
+
+import java.util.Random;
+
+// ML
+// id,applicationType,score,month
+public class MLTrainingCsvLine implements CsvLineStrategy {
+
+    private static final Random RANDOM = new Random();
+    private Long id = 0L;
+
+    @Override
+    public String retrieveNewLine() {
+        id++;
+        return String.join(",",
+                String.valueOf(id),
+                randomApplicationTypeStandardName(),
+                randomNum(5, 50),
+                randomNum(1, 12)
+        );
+    }
+
+    private String randomNum(int min, int max) {
+        return String.valueOf(RANDOM.nextInt(max - min + 1) + min);
+    }
+
+    private String randomApplicationTypeStandardName() {
+        ApplicationType[] applicationTypes = ApplicationType.values();
+        int randomNum = RANDOM.nextInt(applicationTypes.length);
+        return applicationTypes[randomNum].getStandardName();
+    }
+}