update doc

xxl-job-executor-samples/xxl-job-executor-sample-springboot-ai/src/test/java/com/xxl/job/executor/test/BaseTests.java

@@ -4,7 +4,7 @@ import org.junit.jupiter.api.Test;
 import org.springframework.boot.test.context.SpringBootTest;
 
 @SpringBootTest
-public class XxlJobExecutorExampleBootApplicationTests {
+public class BaseTests {
 
 	@Test
 	public void test() {

xxl-job-executor-samples/xxl-job-executor-sample-springboot-ai/src/test/java/com/xxl/job/executor/test/ollama/OllamaTest.java

@@ -0,0 +1,57 @@
+package com.xxl.job.executor.test.ollama;
+
+import com.xxl.job.core.executor.impl.XxlJobSpringExecutor;
+import jakarta.annotation.Resource;
+import org.junit.jupiter.api.Test;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+import org.springframework.ai.chat.client.ChatClient;
+import org.springframework.ai.chat.client.advisor.MessageChatMemoryAdvisor;
+import org.springframework.ai.chat.client.advisor.SimpleLoggerAdvisor;
+import org.springframework.ai.chat.memory.MessageWindowChatMemory;
+import org.springframework.ai.ollama.OllamaChatModel;
+import org.springframework.ai.ollama.api.OllamaChatOptions;
+import org.springframework.boot.test.context.SpringBootTest;
+import org.springframework.test.context.bean.override.mockito.MockitoBean;
+
+@SpringBootTest
+public class OllamaTest {
+    private static final Logger logger = LoggerFactory.getLogger(OllamaTest.class);
+
+    // ignore
+    @MockitoBean
+    private XxlJobSpringExecutor xxlJobSpringExecutor;
+
+
+    @Resource
+    private OllamaChatModel ollamaChatModel;
+
+    @Test
+    public void test() {
+
+        String model = "qwen3:0.6b";
+        String prompt = "背景说明：你是一个研发工程师，擅长解决技术类问题。";
+        String input = "请写一个java程序，实现一个方法，输入一个字符串，返回字符串的长度。";
+
+
+        // build chat-client
+        ChatClient ollamaChatClient = ChatClient
+                .builder(ollamaChatModel)
+                .defaultAdvisors(MessageChatMemoryAdvisor.builder(MessageWindowChatMemory.builder().build()).build())
+                .defaultAdvisors(SimpleLoggerAdvisor.builder().build())
+                .defaultOptions(OllamaChatOptions.builder().model(model).build())
+                .build();
+
+        // call ollama
+        String response = ollamaChatClient
+                .prompt(prompt)
+                .user(input)
+                .call()
+                .content();
+
+        logger.info("input: {}", input);
+        logger.info("response: {}", response);
+    }
+
+
+}