Refactor dependencies in pom.xml and remove commented code

pom.xml

@@ -42,10 +42,12 @@
 			<groupId>org.springframework.boot</groupId>
 			<artifactId>spring-boot-starter-web</artifactId>
 		</dependency>
-		<dependency>
+
+
+		<!--<dependency>
 			<groupId>org.springframework.ai</groupId>
 			<artifactId>spring-ai-mongodb-atlas-store-spring-boot-starter</artifactId>
-		</dependency>
+		</dependency>-->
 		<dependency>
 			<groupId>org.springframework.ai</groupId>
 			<artifactId>spring-ai-openai-spring-boot-starter</artifactId>
@@ -54,6 +56,10 @@
 			<groupId>org.springframework.ai</groupId>
 			<artifactId>spring-ai-azure-openai</artifactId>
 		</dependency>
+		<dependency>
+			<groupId>org.springframework.ai</groupId>
+			<artifactId>spring-ai-azure-store</artifactId>
+		</dependency>
 		<dependency>
 			<groupId>org.neo4j.driver</groupId>
 			<artifactId>neo4j-java-driver</artifactId>

src/main/java/com/olympus/hermione/config/HermioneConfig.java

@@ -1,4 +1,4 @@
-package com.olympus.hermione.configurations;
+package com.olympus.hermione.config;
 
 import org.springframework.ai.azure.openai.AzureOpenAiEmbeddingModel;
 import org.springframework.ai.embedding.EmbeddingModel;
@@ -11,25 +11,29 @@ import org.springframework.context.annotation.Primary;
 @Configuration
 public class HermioneConfig {
     
-    private final OpenAiEmbeddingModel myServiceLib1;
-    private final AzureOpenAiEmbeddingModel myServiceLib2;
- 
+    private final OpenAiEmbeddingModel openAiEmbeddingModel;
+    private final AzureOpenAiEmbeddingModel azureOpenAiEmbeddingModel;
+
     // Autowiring beans from both libraries
-    public HermioneConfig(OpenAiEmbeddingModel myServiceLib1, AzureOpenAiEmbeddingModel myServiceLib2) {
-        this.myServiceLib1 = myServiceLib1;
-        this.myServiceLib2 = myServiceLib2;
+    public HermioneConfig(OpenAiEmbeddingModel myServiceLib1,
+                            AzureOpenAiEmbeddingModel azureOpenAiEmbeddingModel) {
+        this.openAiEmbeddingModel = myServiceLib1;
+        this.azureOpenAiEmbeddingModel = azureOpenAiEmbeddingModel;
+
     }
  
     // Re-declaring and marking one as primary
     @Bean
-    @Primary
     public EmbeddingModel primaryMyService() {
-        return myServiceLib1;  // Choose the one you want as primary
+        return openAiEmbeddingModel;  // Choose the one you want as primary
     }
  
     // Optionally declare the other bean without primary
     @Bean
+    @Primary
     public EmbeddingModel secondaryMyService() {
-        return myServiceLib2;  // The other one
+        return azureOpenAiEmbeddingModel;  // The other one
     }
+
+
 }

src/main/java/com/olympus/hermione/config/VectorStoreConfig.java

@@ -0,0 +1,49 @@
+package com.olympus.hermione.config;
+
+import com.azure.core.credential.AzureKeyCredential;
+import com.azure.search.documents.indexes.SearchIndexClient;
+import com.azure.search.documents.indexes.SearchIndexClientBuilder;
+import org.springframework.ai.embedding.EmbeddingModel;
+import org.springframework.ai.vectorstore.VectorStore;
+import org.springframework.ai.vectorstore.azure.AzureVectorStore;
+import org.springframework.beans.factory.annotation.Qualifier;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+
+import java.util.ArrayList;
+import java.util.List;
+
+@Configuration
+public class VectorStoreConfig {
+
+
+    @Value("${spring.ai.vectorstore.azure.api-key}")
+    private String azureKey;
+    @Value("${spring.ai.vectorstore.azure.url}")
+    private String azureEndpoint;
+    @Value("${spring.ai.vectorstore.azure.initialize-schema}")
+    private boolean initSchema;
+
+    @Bean
+    public SearchIndexClient searchIndexClient() {
+        return new SearchIndexClientBuilder().endpoint(azureEndpoint)
+                .credential(new AzureKeyCredential(azureKey))
+                .buildClient();
+    }
+
+    @Bean
+    public VectorStore vectorStore(SearchIndexClient searchIndexClient, @Qualifier("azureOpenAiEmbeddingModel") EmbeddingModel embeddingModel) {
+        List<AzureVectorStore.MetadataField> fields = new ArrayList<>();
+
+        fields.add(AzureVectorStore.MetadataField.text("KsApplicationName"));
+        fields.add(AzureVectorStore.MetadataField.text("KsProjectName"));
+        fields.add(AzureVectorStore.MetadataField.text("KsDoctype"));
+        fields.add(AzureVectorStore.MetadataField.text("KsDocSource"));
+        fields.add(AzureVectorStore.MetadataField.text("KsFileSource"));
+        fields.add(AzureVectorStore.MetadataField.text("KsDocumentId"));
+
+        return new AzureVectorStore(searchIndexClient, embeddingModel,initSchema, fields);
+    }
+}
+

src/main/java/com/olympus/hermione/security/entity/User.java

@@ -34,6 +34,7 @@ public class User implements UserDetails{
     private String password;
     private String name;
     private String surname;
+
     @DocumentReference
     private Project selectedProject;
     @DocumentReference

src/main/java/com/olympus/hermione/services/ScenarioExecutionService.java

@@ -68,8 +68,6 @@ public class ScenarioExecutionService {
     @Autowired
     DiscoveryClient  discoveryClient;
 
-    //@Autowired
-    //ChatModel chatModel;
 
     @Autowired
     Driver graphDriver;
@@ -129,7 +127,6 @@ public class ScenarioExecutionService {
             scenarioExecution.setExecSharedMap(execSharedMap);
             scenarioExecutionRepository.save(scenarioExecution);
             
-            //TODO:  should be initialized with the scenario specific infos
             Optional<AiModel> o_aiModel;
             if(scenario.getModelId() != null){
                 o_aiModel  = aiModelRepository.findById(scenario.getModelId());
@@ -159,7 +156,6 @@ public class ScenarioExecutionService {
                 )
                 .build();
             }
-            
 
             
             List<ScenarioStep> steps = scenario.getSteps();

src/main/resources/application.properties

@@ -10,13 +10,19 @@ spring.ai.vectorstore.mongodb.indexName=vector_index
 spring.ai.vectorstore.mongodb.collection-name=vector_store
 spring.ai.vectorstore.mongodb.initialize-schema=false
 
+spring.ai.vectorstore.azure.api-key=jxKqZvbMKuo1MwXs8ilEAeRDeswtoTXO1lWX600jP2AzSeDXo1nq
+spring.ai.vectorstore.azure.url=https://search-olympus.search.windows.net
+spring.ai.vectorstore.azure.initialize-schema =false
+
+
+
 spring.ai.openai.api-key=sk-proj-j3TFJ0h348DIzMrYYfyUT3BlbkFJjk4HMc8A2ux2Asg8Y7H1
 spring.ai.openai.chat.options.model=gpt-4o-mini
 spring.main.allow-circular-references=true
 
-spring.ai.azure.openai.api-key=YOUR_API_KEY 
-spring.ai.azure.openai.endpoint=YOUR_ENDPOINT 
-spring.ai.azure.openai.chat.options.deployment-name=gpt-4o 
+spring.ai.azure.openai.api-key=9fb33cc69d914d4c8225b974876510b5
+spring.ai.azure.openai.endpoint=https://ai-olympus.openai.azure.com/
+spring.ai.azure.openai.chat.options.deployment-name=gpt-4o-mini
 spring.ai.azure.openai.chat.options.temperature=0.7
 
 neo4j.uri=neo4j+s://e17e6f08.databases.neo4j.io:7687