Add protected constructors to Movie nested classes and clean up record style

Restore @AllArgsConstructor/@NoArgsConstructor(access = PROTECTED) on
Awards, Imdb, Tomatoes, Viewer, and Critic so Spring Data MongoDB can
reliably instantiate them without depending on compiler debug info.
Normalise record declaration spacing and replace FQN java.util.List
with an import in VectorSearchResult.

Author: ozgliderpilot

mflix/server/java-spring/src/main/java/com/mongodb/samplemflix/model/Movie.java

@@ -191,6 +191,8 @@ private Fields() {
     @Getter
     @Setter
     @Builder
+    @AllArgsConstructor(access = AccessLevel.PROTECTED) // needed for Spring Data and MongoDB mapping
+    @NoArgsConstructor(access = AccessLevel.PROTECTED) // needed for Spring Data and MongoDB mapping
     public static class Awards {
         /**
          * Number of awards won.
@@ -214,6 +216,8 @@ public static class Awards {
     @Getter
     @Setter
     @Builder
+    @AllArgsConstructor(access = AccessLevel.PROTECTED) // needed for Spring Data and MongoDB mapping
+    @NoArgsConstructor(access = AccessLevel.PROTECTED) // needed for Spring Data and MongoDB mapping
     public static class Imdb {
         /**
          * IMDB rating (0.0 to 10.0).
@@ -237,6 +241,8 @@ public static class Imdb {
     @Getter
     @Setter
     @Builder
+    @AllArgsConstructor(access = AccessLevel.PROTECTED) // needed for Spring Data and MongoDB mapping
+    @NoArgsConstructor(access = AccessLevel.PROTECTED) // needed for Spring Data and MongoDB mapping
     public static class Tomatoes {
         /**
          * Viewer ratings information.
@@ -274,6 +280,8 @@ public static class Tomatoes {
         @Getter
         @Setter
         @Builder
+        @AllArgsConstructor(access = AccessLevel.PROTECTED) // needed for Spring Data and MongoDB mapping
+        @NoArgsConstructor(access = AccessLevel.PROTECTED) // needed for Spring Data and MongoDB mapping
         public static class Viewer {
             /**
              * Viewer rating (0.0 to 5.0).
@@ -297,6 +305,8 @@ public static class Viewer {
         @Getter
         @Setter
         @Builder
+        @AllArgsConstructor(access = AccessLevel.PROTECTED) // needed for Spring Data and MongoDB mapping
+        @NoArgsConstructor(access = AccessLevel.PROTECTED) // needed for Spring Data and MongoDB mapping
         public static class Critic {
             /**
              * Critic rating (0.0 to 5.0).

mflix/server/java-spring/src/main/java/com/mongodb/samplemflix/model/dto/BatchUpdateResponse.java

@@ -3,6 +3,6 @@
 /**
  * Response DTO for batch update operations.
  */
-public record BatchUpdateResponse(
+public record BatchUpdateResponse (
         long matchedCount,
         long modifiedCount) {}

mflix/server/java-spring/src/main/java/com/mongodb/samplemflix/model/dto/MovieSearchQuery.java

@@ -9,7 +9,7 @@
  * It supports full-text search, filtering by genre/year/rating, sorting, and pagination.
  */
 @Builder
-public record MovieSearchQuery(
+public record MovieSearchQuery (
 
     /**
      * Full-text search query.

mflix/server/java-spring/src/main/java/com/mongodb/samplemflix/model/dto/VectorSearchResult.java

@@ -1,5 +1,6 @@
 package com.mongodb.samplemflix.model.dto;
 
+import java.util.List;
 import lombok.Builder;
 
 /**
@@ -10,47 +11,47 @@
  */
 @Builder
 public record VectorSearchResult (
-    
+
     /**
      * Movie ObjectId as a string.
      */
     String id,
-    
+
     /**
      * Movie title.
      */
     String title,
-    
+
     /**
      * Movie plot summary.
      */
     String plot,
-    
+
     /**
      * Movie poster URL.
      */
     String poster,
-    
+
     /**
      * Movie release year.
      */
     Integer year,
-    
+
     /**
      * Movie genres.
      */
-    java.util.List<String> genres,
-    
+    List<String> genres,
+
     /**
      * Movie directors.
      */
-    java.util.List<String> directors,
-    
+    List<String> directors,
+
     /**
      * Movie cast members.
      */
-    java.util.List<String> cast,
-    
+    List<String> cast,
+
     /**
      * Vector search similarity score (0.0 to 1.0, higher = more similar).
      */