code format

Author: chickenlj

community/memories/spring-ai-alibaba-starter-memory-mem0/src/main/java/com/alibaba/cloud/ai/memory/mem0/core/Mem0MemoryStore.java

@@ -38,8 +38,7 @@
 
 /**
  * @author miaoyumeng
- * @date 2025/06/24 14:28
- * @description TODO
+ * @since 2025/06/24 14:28
  */
 public class Mem0MemoryStore implements InitializingBean, VectorStore {
 

spring-ai-alibaba-deepresearch/pom.xml

@@ -5,7 +5,7 @@
     <modelVersion>4.0.0</modelVersion>
     <groupId>com.alibaba.cloud.ai</groupId>
     <artifactId>spring-ai-alibaba-deepresearch</artifactId>
-    <version>0.1.0</version>
+    <version>0.1.0-SNAPSHOT</version>
     <name>Spring AI Alibaba Deep Research</name>
 
     <properties>

spring-ai-alibaba-graph-core/src/main/java/com/alibaba/cloud/ai/graph/agent/flow/agent/LoopAgent.java

@@ -126,22 +126,6 @@ public Optional<OverAllState> invoke(Map<String, Object> input) throws GraphStat
 	 */
 	public enum LoopMode {
 
-		/**
-		 * <b>Count mode</b>: Execute a fixed number of loops
-		 * <p>
-		 * Execution steps:
-		 * <ol>
-		 * <li>Get input data from inputKey (optional)</li>
-		 * <li>Track the current loop count</li>
-		 * <li>Increment the count by 1 for each loop until reaching the preset loopCount
-		 * value</li>
-		 * <li>Set loopStartFlag to false when the loop ends</li>
-		 * </ol>
-		 * </p>
-		 * <p>
-		 * Applicable scenario: Scenarios requiring a fixed number of operations
-		 * </p>
-		 */
 		COUNT(loopConfig -> (state -> {
 			String agentName = loopConfig.agentName();
 			// Get input for passing to the iterator body
@@ -169,22 +153,6 @@ public enum LoopMode {
 			return value.map(o -> Map.of(loopConfig.outputKey(), o)).orElseGet(Map::of);
 		}), (agentName) -> combineKeyStrategy(agentName, Map.of(agentName + "__loop_count", new ReplaceStrategy()))),
 
-		/**
-		 * <b>Condition mode</b>: Continue looping based on a condition, similar to a
-		 * do-while structure, but when the condition is true, terminate the loop
-		 * <p>
-		 * Working principle:
-		 * <ol>
-		 * <li>Execute the first loop directly (unconditionally)</li>
-		 * <li>Subsequent loops check if the previous output meets the loopCondition</li>
-		 * <li>Exit the loop if the condition is met, otherwise continue executing</li>
-		 * </ol>
-		 * </p>
-		 * <p>
-		 * Applicable scenario: Scenarios where the decision to continue looping needs to
-		 * be made dynamically based on execution results
-		 * </p>
-		 */
 		CONDITION(loopConfig -> (state -> {
 			String agentName = loopConfig.agentName();
 			// Get input for passing to the iterator body
@@ -209,24 +177,6 @@ public enum LoopMode {
 			return value.map(o -> Map.of(loopConfig.outputKey(), o)).orElseGet(Map::of);
 		}), (agentName) -> combineKeyStrategy(agentName, Map.of())),
 
-		/**
-		 * <b>Iterable mode</b>: Iterate over each element in an Iterable object
-		 * <p>
-		 * Working principle:
-		 * <ol>
-		 * <li>Get the Iterable object from inputKey</li>
-		 * <li>Convert to List and limit the maximum number of elements
-		 * (ITERABLE_ELEMENT_COUNT)</li>
-		 * <li>Track the current index</li>
-		 * <li>Extract each element sequentially as input to the loop body</li>
-		 * <li>Exit the loop after iterating through all elements</li>
-		 * </ol>
-		 * </p>
-		 * <p>
-		 * Applicable scenario: Scenarios requiring iteration over each element in a
-		 * collection or list
-		 * </p>
-		 */
 		ITERABLE(loopConfig -> (state -> {
 			String agentName = loopConfig.agentName();
 			// Get the elements to be iterated over. If they don't exist, it means it's
@@ -275,22 +225,6 @@ public enum LoopMode {
 				Map.of(agentName + "__iterableElement", new ReplaceStrategy(), agentName + "__iterableIndex",
 						new ReplaceStrategy()))),
 
-		/**
-		 * <b>Array mode</b>: Iterate over each element in an array
-		 * <p>
-		 * Working principle:
-		 * <ol>
-		 * <li>Get the array object from inputKey</li>
-		 * <li>Track the current index</li>
-		 * <li>Use reflection to get each element in the array sequentially</li>
-		 * <li>Exit the loop after iterating through all elements</li>
-		 * </ol>
-		 * </p>
-		 * <p>
-		 * Applicable scenario: Scenarios requiring iteration over each element in a Java
-		 * array
-		 * </p>
-		 */
 		ARRAY(loopConfig -> (state -> {
 			String agentName = loopConfig.agentName();
 			// Get the input array
@@ -317,22 +251,6 @@ public enum LoopMode {
 			return value.map(o -> Map.of(loopConfig.outputKey(), o)).orElseGet(Map::of);
 		}), (agentName) -> combineKeyStrategy(agentName, Map.of(agentName + "__arrayIndex", new ReplaceStrategy()))),
 
-		/**
-		 * <b>JSON array mode</b>: Parse a JSON array and iterate over its elements
-		 * <p>
-		 * Working principle:
-		 * <ol>
-		 * <li>Get the JSON string from inputKey</li>
-		 * <li>Parse it into a List object</li>
-		 * <li>Track the current index</li>
-		 * <li>Extract each element sequentially as input to the loop body</li>
-		 * <li>Exit the loop after iterating through all elements</li>
-		 * </ol>
-		 * </p>
-		 * <p>
-		 * Applicable scenario: Scenarios requiring processing of JSON format array data
-		 * </p>
-		 */
 		JSON_ARRAY(loopConfig -> (state -> {
 			String agentName = loopConfig.agentName();
 			String listKey = agentName + "__list";

spring-ai-alibaba-nl2sql/spring-ai-alibaba-nl2sql-chat/src/main/java/com/alibaba/cloud/ai/prompt/PromptHelper.java

@@ -235,7 +235,6 @@ public static String buildSemanticConsistenPrompt(String nlReq, String sql) {
 	 * @param userRequirementsAndPlan user requirements and plan
 	 * @param analysisStepsAndData analysis steps and data
 	 * @param summaryAndRecommendations summary and recommendations
-	 * @param customPrompt user-defined prompt content, use default prompt if null
 	 * @return built prompt
 	 */
 	public static String buildReportGeneratorPromptWithOptimization(String userRequirementsAndPlan,

spring-ai-alibaba-studio/spring-ai-alibaba-studio-server/spring-ai-alibaba-studio-server-admin/src/main/java/com/alibaba/cloud/ai/studio/admin/generator/service/dsl/adapters/CustomDSLAdapter.java

@@ -41,7 +41,7 @@
 import org.springframework.stereotype.Component;
 
 /**
- * CustomDSLAdapter converts spring ai alibaba DSL to {@link App} and vice versa.
+ * CustomDSLAdapter converts spring ai alibaba DSL to App and vice versa.
  */
 @Component
 public class CustomDSLAdapter extends AbstractDSLAdapter {

spring-ai-alibaba-studio/spring-ai-alibaba-studio-server/spring-ai-alibaba-studio-server-runtime/src/main/java/com/alibaba/cloud/ai/studio/runtime/domain/chat/ChatMessageContentDeserializer.java

@@ -35,7 +35,7 @@ public class ChatMessageContentDeserializer extends JsonDeserializer<Object> {
 	 * Deserializes JSON content into appropriate object type.
 	 * @param p JSON parser
 	 * @param ctxt Deserialization context
-	 * @return Deserialized object (List<MultimodalContent>, String, or JsonNode)
+	 * @return Deserialized object (List MultimodalContent, String, or JsonNode)
 	 * @throws IOException if deserialization fails
 	 */
 	@Override