Adding Book class and pom fixes

Author: psilberk

data/semantickernel-data-postgres/pom.xml

@@ -10,7 +10,6 @@
          <relativePath>../../pom.xml</relativePath>
     </parent>
 
-    <groupId>com.microsoft.semantic-kernel</groupId>
     <artifactId>semantickernel-data-postgres</artifactId>
     <name>Semantic Kernel PostreSQL connector</name>
     <description>Provides a PostreSQL connector for the Semantic Kernel</description>

samples/semantickernel-learn-resources/pom.xml

@@ -41,7 +41,16 @@
             <groupId>com.microsoft.semantic-kernel</groupId>
             <artifactId>semantickernel-data-redis</artifactId>
         </dependency>
-
+        <dependency>
+            <groupId>com.microsoft.semantic-kernel</groupId>
+            <artifactId>semantickernel-data-oracle</artifactId>
+            <version>1.4.4-RC2-SNAPSHOT</version>
+        </dependency>
+        <dependency>
+            <groupId>com.microsoft.semantic-kernel</groupId>
+            <artifactId>semantickernel-data-postgres</artifactId>
+            <version>1.4.4-RC2-SNAPSHOT</version>
+        </dependency>
         <dependency>
             <groupId>org.apache.logging.log4j</groupId>
             <artifactId>log4j-api</artifactId>

samples/semantickernel-learn-resources/src/main/java/com/microsoft/semantickernel/samples/documentationexamples/data/vectorstores/oracle/Book.java

@@ -0,0 +1,45 @@
+// Copyright (c) Microsoft. All rights reserved.
+package com.microsoft.semantickernel.samples.documentationexamples.data.vectorstores.oracle;
+
+import com.microsoft.semantickernel.data.vectorstorage.annotations.VectorStoreRecordData;
+import com.microsoft.semantickernel.data.vectorstorage.annotations.VectorStoreRecordKey;
+import com.microsoft.semantickernel.data.vectorstorage.annotations.VectorStoreRecordVector;
+import com.microsoft.semantickernel.data.vectorstorage.definition.DistanceFunction;
+import com.microsoft.semantickernel.data.vectorstorage.definition.IndexKind;
+import java.util.List;
+
+public class Book {
+
+    @VectorStoreRecordKey
+    private final String isbn;
+
+    public Book(String isbn, String title, String author, int pages,
+        List<String> tags, String summary, List<Float> summaryEmbedding) {
+        this.isbn = isbn;
+        this.title = title;
+        this.author = author;
+        this.pages = pages;
+        this.tags = tags;
+        this.summary = summary;
+        this.summaryEmbedding = summaryEmbedding;
+    }
+
+    @VectorStoreRecordData(isFilterable = true)
+    private final String title;
+
+    @VectorStoreRecordData(isFilterable = true)
+    private final String author;
+
+    @VectorStoreRecordData
+    private final int pages;
+
+    @VectorStoreRecordData(isFilterable = true)
+    private final List<String> tags;
+
+    @VectorStoreRecordData( isFilterable = true, isFullTextSearchable = true )
+    private final String summary;
+
+    @VectorStoreRecordVector(dimensions = 4, distanceFunction = DistanceFunction.COSINE_DISTANCE, indexKind = IndexKind.HNSW)
+    private final List<Float> summaryEmbedding;
+
+}

samples/semantickernel-learn-resources/src/main/java/com/microsoft/semantickernel/samples/documentationexamples/data/vectorstores/oracle/Main.java

@@ -3,13 +3,17 @@
 
 import com.microsoft.semantickernel.data.jdbc.JDBCVectorStore;
 import com.microsoft.semantickernel.data.jdbc.JDBCVectorStoreOptions;
-import com.microsoft.semantickernel.data.jdbc.JDBCVectorStoreRecordCollection;
 import com.microsoft.semantickernel.data.jdbc.JDBCVectorStoreRecordCollectionOptions;
-import com.microsoft.semantickernel.data.jdbc.postgres.PostgreSQLVectorStoreQueryProvider;
-import com.microsoft.semantickernel.samples.documentationexamples.data.index.Hotel;
+import com.microsoft.semantickernel.data.jdbc.oracle.OracleVectorStoreQueryProvider;
+import com.microsoft.semantickernel.data.vectorstorage.VectorStoreRecordCollection;
+import java.sql.SQLException;
+import java.util.Arrays;
+import java.util.List;
+import oracle.jdbc.datasource.impl.OracleDataSource;
 
 public class Main {
-    public static void main(String[] args) {
+    public static void main(String[] args) throws SQLException {
+
         // Configure the data source
         OracleDataSource dataSource = new OracleDataSource();
         dataSource.setURL("jdbc:oracle:thin:@localhost:1521/FREEPDB1");
@@ -29,50 +33,35 @@ public static void main(String[] args) {
                 .build())
             .build();
 
-        VectorStoreRecordCollection<String, Hotel> collection = vectorStore.getCollection(
-            "skhotels",
-            JDBCVectorStoreRecordCollectionOptions.<Hotel>builder()
-                .withRecordClass(Hotel.class)
+        VectorStoreRecordCollection<String, Book> collection = vectorStore.getCollection(
+            "books",
+            JDBCVectorStoreRecordCollectionOptions.<Book>builder()
+                .withRecordClass(Book.class)
                 .build());
 
         // Create the collection if it doesn't exist yet.
         collection.createCollectionIfNotExistsAsync().block();
 
-        collection.upsertBatchAsync(getHotels(), null).block();
+        collection.upsertBatchAsync(books, null).block();
 
         // Retrieve the upserted record.
-        var retrievedHotel = collection.getAsync("1", null).block();
+        //var retrievedBook = collection.getAsync("1", null).block();
 
         // Generate a vector for your search text, using your chosen embedding generation implementation.
         // Just showing a placeholder method here for brevity.
         // var searchVector = generateEmbeddingsAsync(
-        // "I'm looking for a hotel where customer happiness is the priority.").block();
+        // "I'm looking for a Book where customer happiness is the priority.").block();
 
         // Do the search.
         // var searchResult = collection.searchAsync(searchVector, VectorSearchOptions.builder()
         // .withTop(1).build()).block();
 
-        // Hotel record = searchResult.getResults().get(0).getRecord();
-        // System.out.printf("Found hotel description: %s\n", record.getDescription());
+        // Book record = searchResult.getResults().get(0).getRecord();
+        // System.out.printf("Found Book description: %s\n", record.getDescription());
 
     }
 
-    private static List<Hotel> getHotels() {
-        return Arrays.asList(
-            new Hotel("id_1", "Hotel 1", 1, "Hotel 1 description",
-                Arrays.asList(0.5f, 3.2f, 7.1f, -4.0f, 2.8f, 10.0f, -1.3f, 5.5f), null, null, null,
-                4.0),
-            new Hotel("id_2", "Hotel 2", 2, "Hotel 2 description",
-                Arrays.asList(-2.0f, 8.1f, 0.9f, 5.4f, -3.3f, 2.2f, 9.9f, -4.5f), null, null, null,
-                4.0),
-            new Hotel("id_3", "Hotel 3", 3, "Hotel 3 description",
-                Arrays.asList(4.5f, -6.2f, 3.1f, 7.7f, -0.8f, 1.1f, -2.2f, 8.3f), null, null, null,
-                5.0),
-            new Hotel("id_4", "Hotel 4", 4, "Hotel 4 description",
-                Arrays.asList(7.0f, 1.2f, -5.3f, 2.5f, 6.6f, -7.8f, 3.9f, -0.1f), null, null, null,
-                4.0),
-            new Hotel("id_5", "Hotel 5", 5, "Hotel 5 description",
-                Arrays.asList(-3.5f, 4.4f, -1.2f, 9.9f, 5.7f, -6.1f, 7.8f, -2.0f), null, null, null,
-                4.0));
-    }
+    static List<Book> books = Arrays.asList(
+        new Book("1", "one", "sking", 0, null, "sum", null));
+
 }