Update ObjectMappingFindVector.java

Author: djsauble

astra-db-client/src/test/java/com/dtsx/astra/sdk/documentation/ObjectMappingFindVector.java

@@ -6,29 +6,28 @@
 import io.stargate.sdk.json.domain.Filter;
 import io.stargate.sdk.json.domain.SelectQuery;
 import io.stargate.sdk.json.domain.odm.Result;
-
 import java.util.List;
 import java.util.Optional;
 
 public class ObjectMappingFindVector {
- static class Product {
-   @JsonProperty("product_name") private String name;
-   @JsonProperty("product_price") private Double price;
- }
+  static class Product {
+    @JsonProperty("product_name") private String name;
+    @JsonProperty("product_price") private Double price;
+  }
 
- public static void main(String[] args) {
-   AstraDB db = new AstraDB("<token>", "<api_endpoint>");
-   AstraDBRepository<Product> productRepository = db
-    .createCollection("collection_vector1", 14, Product.class);
+  public static void main(String[] args) {
+    AstraDB db = new AstraDB("<token>", "<api_endpoint>");
+    AstraDBRepository<Product> productRepository =
+        db.createCollection("collection_vector1", 14, Product.class);
 
-   // Perform a semantic search
-   float[] embeddings = new float[]{1f, 0f, 1f, 1f, 1f, 1f, 0f, 0f, 0f, 0f, 0f, 0f, 0f, 0f};
-   Filter metadataFilter = new Filter().where("product_price").isEqualsTo(9.99);
-   int maxRecord = 10;
-   List<Result<Product>> res = productRepository.findVector(embeddings, metadataFilter, maxRecord);
+    // Perform a semantic search
+    float[] embeddings = new float[]{1f, 0f, 1f, 1f, 1f, 1f, 0f, 0f, 0f, 0f, 0f, 0f, 0f, 0f};
+    Filter metadataFilter = new Filter().where("product_price").isEqualsTo(9.99);
+    int maxRecord = 10;
+    List<Result<Product>> res = productRepository.findVector(embeddings, metadataFilter, maxRecord);
 
-   // If you do not have max record or metadata filter, you can use the following
-   productRepository.findVector(embeddings, maxRecord);
-   productRepository.findVector(embeddings, metadataFilter);
- }
+    // If you do not have max record or metadata filter, you can use the following
+    productRepository.findVector(embeddings, maxRecord);
+    productRepository.findVector(embeddings, metadataFilter);
+  }
 }