refactor(admin): 调整项目配置移除context-path前缀

- 移除调度中心默认context-path配置 /xxl-job-admin
- 更新数据库脚本中的AI模型配置从 qwen3.5:2b 到 qwen3.5:0.8b
- 升级多项Maven依赖版本包括Spring Boot、Netty、MySQL连接器等
- 修改应用配置文件中的服务器上下文路径为根路径
- 更新测试代码中的地址URL配置
- 添加Git忽略文件配置支持前端和AI相关文件
- 更新AI聊天客户端配置以支持对话记忆功能

.gitignore

@@ -1,7 +1,20 @@
-.idea
+# for backend
+*.iml
+/.idea
+**/target/
 .classpath
 .project
-*.iml
-target/
 .DS_Store
 .gitattributes
+
+# for fontend
+node_modules/
+dist/
+package-lock.json
+
+# for ai
+.opencode
+.omo
+.claude
+.specify
+specs

doc/XXL-JOB-English-Documentation.md

@@ -881,7 +881,7 @@ The concrete contet describe as follows:
 
 #### Step 2:Deploy:
 If you has finished step 1,then you can compile the project in maven and deploy the war package to tomcat.
-the url to visit is :http://localhost:8080/xxl-job-admin (this address will be used by executor and use it as callback url),the index page after login in is as follow
+the url to visit is :http://localhost:8080 (this address will be used by executor and use it as callback url),the index page after login in is as follow
 
 ![index page after login in](https://www.xuxueli.com/project/static/xxl-job/images/img_6yC0.png "index page after login in")
 
@@ -910,7 +910,7 @@ Relative path of the executor configuration file is as follows:
 The concret content of configuration file as follows:
 
     ### xxl-job admin address list：xxl-job-admin address list: Multiple addresses are separated by commas,this address is used for "heart beat and register" and "task execution result callback" between the executor and xxl-job-admin.
-    xxl.job.admin.addresses=http://127.0.0.1:8080/xxl-job-admin
+    xxl.job.admin.addresses=http://127.0.0.1:8080
     
     ### xxl.job.executor.appname is used to group by executors
     xxl.job.executor.appname=xxl-job-executor-sample

doc/XXL-JOB官方文档.md

@@ -940,7 +940,7 @@ xxl.job.logretentiondays=30
 #### 步骤二：部署项目：
 如果已经正确进行上述配置，可将项目编译打包部署。
 
-调度中心访问地址：http://localhost:8080/xxl-job-admin (该地址执行器将会使用到，作为回调地址)
+调度中心访问地址：http://localhost:8080 (该地址执行器将会使用到，作为回调地址)
 
 默认登录账号 "admin/123456", 登录后运行界面如下图所示。
 
@@ -1006,7 +1006,7 @@ xuxueli/xxl-job-admin:{指定版本}
 
 ```
 ### 调度中心部署根地址 [选填]：如调度中心集群部署存在多个地址则用逗号分隔。执行器将会使用该地址进行"执行器心跳注册"和"任务结果回调"；为空则关闭自动注册；
-xxl.job.admin.addresses=http://127.0.0.1:8080/xxl-job-admin
+xxl.job.admin.addresses=http://127.0.0.1:8080
 ### 调度中心通讯TOKEN [选填]：非空时启用；
 xxl.job.admin.accessToken=default_token
 ### 调度中心通讯超时时间[选填]，单位秒；默认3s；
@@ -1277,7 +1277,7 @@ public void demoJobHandler() throws Exception {
 {
     "input": "{输入信息，必填信息}",
     "prompt": "{模型prompt，可选信息}",
-    "model": "{模型实现，如qwen3.5:2b，可选信息}"
+    "model": "{模型实现，如qwen3.5:0.8b，可选信息}"
 }
 ```
 
@@ -2840,8 +2840,12 @@ alter table xxl_job_log
 ```
 
 ### 7.45 版本 v3.4.1 Release Notes[ING]
-- 1、【TODO】调度中心OpenAPI完善，提供任务管理能力；封装Agent Skill并推送ClawHub；
-- 2、【TODO】AccessToken升级：执行器维度隔离，支持线上化配置；升级双端OpenApi，适配AccessToken升级；
+- 1、【重构】项目结构AI Ready重构，将业务逻辑与数据访问逻辑分离，提升项目可读性与可维护性；
+- 2、【调整】消息中心移除context-path前缀配置项，简化客户端配置；
+  （存量客户端升级需要注意：升级后需要将配置项 "xxl.job.admin.addresses" 中的 context-path 前缀移除）
+- 3、【升级】升级多项maven依赖至较新版本，如 spring、netty 等；
+- 4、【TODO】调度中心OpenAPI完善，提供任务管理能力；封装Agent Skill并推送ClawHub；
+- 5、【TODO】AccessToken升级：执行器维度隔离，支持线上化配置；升级双端OpenApi，适配AccessToken升级；
 
 
 ### TODO LIST

doc/db/tables_xxl_job.sql

@@ -161,7 +161,7 @@ VALUES (1, 1, '示例任务01', now(), now(), 'XXL', '', 'CRON', '0 0 0 * * ? *'
         'DO_NOTHING', 'FIRST', 'ollamaJobHandler', '{
     "input": "Java实现二叉树层序遍历",
     "prompt": "你是一个研发工程师，擅长解决技术类问题。",
-    "model": "qwen3.5:2b"
+    "model": "qwen3.5:0.8b"
 }', 'SERIAL_EXECUTION', 0, 0, 'BEAN', '', 'GLUE代码初始化',
         now(), ''),
        (3, 2, 'Dify示例任务', now(), now(), 'XXL', '', 'NONE', '',

docker/.env

@@ -2,7 +2,7 @@
 
 # xxl-job, admin
 XXL_JOB_ADMIN_PORT=8080
-XXL_JOB_ADMIN_CONTEXT_PATH=/xxl-job-admin
+XXL_JOB_ADMIN_CONTEXT_PATH=/
 
 # xxl-job, database
 MYSQL_ROOT_PASSWORD=root_pwd

pom.xml

@@ -31,35 +31,35 @@
 		<maven-gpg-plugin.version>3.2.8</maven-gpg-plugin.version>
 		<central-publishing-maven-plugin.version>0.10.0</central-publishing-maven-plugin.version>
 		<!-- base -->
-		<slf4j-api.version>2.0.17</slf4j-api.version>
-		<junit-jupiter.version>6.0.3</junit-jupiter.version>
+		<slf4j-api.version>2.0.18</slf4j-api.version>
+		<junit-jupiter.version>6.1.0</junit-jupiter.version>
 
 		<!-- jakarta.annotation-api -->
 		<jakarta.annotation-api.version>3.0.0</jakarta.annotation-api.version>
 
 		<!-- spring -->
-		<spring-boot.version>4.0.5</spring-boot.version>
-		<spring.version>7.0.6</spring.version>
+		<spring-boot.version>4.0.6</spring-boot.version>
+		<spring.version>7.0.7</spring.version>
 		<!-- mybatis & db -->
 		<mybatis-spring-boot-starter.version>4.0.1</mybatis-spring-boot-starter.version>
-		<mysql-connector-j.version>9.6.0</mysql-connector-j.version>
+		<mysql-connector-j.version>9.7.0</mysql-connector-j.version>
 
 		<!-- net -->
-		<netty.version>4.2.12.Final</netty.version>
+		<netty.version>4.2.15.Final</netty.version>
 		<!-- groovy -->
-		<groovy.version>5.0.5</groovy.version>
+		<groovy.version>5.0.6</groovy.version>
 
 		<!-- xxl-sso -->
 		<xxl-sso.version>2.4.0</xxl-sso.version>
 		<!-- xxl-tool -->
 		<xxl-tool.version>2.5.0</xxl-tool.version>
 		<!-- gson -->
-		<gson.version>2.13.2</gson.version>
+		<gson.version>2.14.0</gson.version>
 
 		<!-- spring-ai -->
-		<spring-ai.version>2.0.0-M4</spring-ai.version>
+		<spring-ai.version>2.0.0-M8</spring-ai.version>
 		<!-- dify -->
-		<dify-java-client.version>1.2.5</dify-java-client.version>
+		<dify-java-client.version>1.2.7</dify-java-client.version>
 	</properties>
 
 	<dependencyManagement>

xxl-job-admin/src/main/resources/application.properties

@@ -1,9 +1,13 @@
 ### web
 server.port=8080
-server.servlet.context-path=/xxl-job-admin
+server.servlet.context-path=/
 
-### actuator
-management.endpoints.web.base-path=/actuator
+### web config: actuator、error page、controller-format
+management.server.base-path=/actuator
+spring.web.error.whitelabel.enabled=false
+spring.jackson.date-format=yyyy-MM-dd HH:mm:ss
+
+### mail health
 management.health.mail.enabled=false
 
 ### resources
@@ -20,7 +24,7 @@ spring.freemarker.settings.number_format=0.##########
 spring.freemarker.settings.new_builtin_class_resolver=safer
 
 ### mybatis
-mybatis.mapper-locations=classpath:/mapper/*Mapper.xml
+mybatis.mapper-locations=classpath:/mapper/**/*Mapper.xml
 
 ### datasource-pool
 spring.datasource.type=com.zaxxer.hikari.HikariDataSource

xxl-job-admin/src/test/java/com/xxl/job/openapi/AdminBizTest.java

@@ -25,7 +25,7 @@ import static org.junit.jupiter.api.Assertions.assertTrue;
 public class AdminBizTest {
     private static final Logger logger = LoggerFactory.getLogger(AdminBizTest.class);
 
-    private static String addressUrl = "http://127.0.0.1:8080/xxl-job-admin";
+    private static String addressUrl = "http://127.0.0.1:8080";
     private static String accessToken = "default_token";
 
     private AdminBiz buildClient(){

xxl-job-executor-samples/xxl-job-executor-sample-frameless/src/main/resources/xxl-job-executor.properties

@@ -1,5 +1,5 @@
 ### xxl-job admin address list, such as "http://address" or "http://address01,http://address02"
-xxl.job.admin.addresses=http://127.0.0.1:8080/xxl-job-admin
+xxl.job.admin.addresses=http://127.0.0.1:8080
 ### xxl-job access token
 xxl.job.admin.accessToken=default_token
 ### xxl-job timeout by second, default 3s

xxl-job-executor-samples/xxl-job-executor-sample-springboot-ai/src/main/java/com/xxl/job/executor/controller/IndexController.java

@@ -16,6 +16,7 @@ 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.ChatMemory;
 import org.springframework.ai.chat.memory.MessageWindowChatMemory;
 import org.springframework.ai.ollama.OllamaChatModel;
 import org.springframework.ai.ollama.api.OllamaChatOptions;
@@ -50,7 +51,7 @@ public class IndexController {
     @Resource
     private OllamaChatModel ollamaChatModel;
     private String prompt = "你好，你是一个研发工程师，擅长解决技术类问题。";
-    private String modle = "qwen3.5:2b";
+    private String modle = "qwen3.5:0.8b";
 
     /**
      * ChatClient 简单调用
@@ -64,12 +65,13 @@ public class IndexController {
                 .builder(ollamaChatModel)
                 .defaultAdvisors(MessageChatMemoryAdvisor.builder(MessageWindowChatMemory.builder().build()).build())       // add memory
                 .defaultAdvisors(SimpleLoggerAdvisor.builder().build())                                                     // add logger
-                .defaultOptions(OllamaChatOptions.builder().model(modle).build())                                           // assign model
+                .defaultOptions(OllamaChatOptions.builder().model(modle))                                                   // assign model
                 .build();
 
         // call ollama
         String response = ollamaChatClient
                 .prompt(prompt)
+                .advisors(a -> a.param(ChatMemory.CONVERSATION_ID, "conversationId-default"))
                 .user(input)
                 .call()
                 .content();
@@ -90,12 +92,13 @@ public class IndexController {
                 .builder(ollamaChatModel)
                 .defaultAdvisors(MessageChatMemoryAdvisor.builder(MessageWindowChatMemory.builder().build()).build())
                 .defaultAdvisors(SimpleLoggerAdvisor.builder().build())
-                .defaultOptions(OllamaChatOptions.builder().model(modle).build())
+                .defaultOptions(OllamaChatOptions.builder().model(modle))
                 .build();
 
         // call ollama
         return ollamaChatClient
                 .prompt(prompt)
+                .advisors(a -> a.param(ChatMemory.CONVERSATION_ID, "conversationId-default"))
                 .user(input)
                 .stream()
                 .content();

xxl-job-executor-samples/xxl-job-executor-sample-springboot-ai/src/main/java/com/xxl/job/executor/jobhandler/AIXxlJob.java

@@ -12,6 +12,7 @@ import jakarta.annotation.Resource;
 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.ChatMemory;
 import org.springframework.ai.chat.memory.MessageWindowChatMemory;
 import org.springframework.ai.ollama.OllamaChatModel;
 import org.springframework.ai.ollama.api.OllamaChatOptions;
@@ -73,7 +74,7 @@ public class AIXxlJob {
                 return;
             }
             if (ollamaParam.getModel()==null || ollamaParam.getModel().isBlank()) {
-                ollamaParam.setModel("qwen3.5:2b");
+                ollamaParam.setModel("qwen3.5:0.8b");
             }
         } catch (Exception e) {
             XxlJobHelper.log(new RuntimeException("OllamaParam parse error", e));
@@ -89,12 +90,13 @@ public class AIXxlJob {
                 .builder(ollamaChatModel)
                 .defaultAdvisors(MessageChatMemoryAdvisor.builder(MessageWindowChatMemory.builder().build()).build())
                 .defaultAdvisors(SimpleLoggerAdvisor.builder().build())
-                .defaultOptions(OllamaChatOptions.builder().model(ollamaParam.getModel()).build())
+                .defaultOptions(OllamaChatOptions.builder().model(ollamaParam.getModel()))
                 .build();
 
         // call ollama
         String response = ollamaChatClient
                 .prompt(ollamaParam.getPrompt())
+                .advisors(a -> a.param(ChatMemory.CONVERSATION_ID, "conversationId-default"))
                 .user(ollamaParam.getInput())
                 .call()
                 .content();
@@ -312,6 +314,7 @@ public class AIXxlJob {
         // call opencalw
         String response = openclawChatClient
                 .prompt(openClawParam.getPrompt())
+                .advisors(a -> a.param(ChatMemory.CONVERSATION_ID, "conversationId-default"))
                 .user(openClawParam.getInput())
                 .call()
                 .content();

xxl-job-executor-samples/xxl-job-executor-sample-springboot-ai/src/main/resources/application.properties

@@ -10,7 +10,7 @@ logging.config=classpath:logback.xml
 
 
 ### xxl-job admin address list, such as "http://address" or "http://address01,http://address02"
-xxl.job.admin.addresses=http://127.0.0.1:8080/xxl-job-admin
+xxl.job.admin.addresses=http://127.0.0.1:8080
 ### xxl-job access token
 xxl.job.admin.accessToken=default_token
 ### xxl-job timeout by second, default 3s

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

@@ -8,6 +8,7 @@ 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.ChatMemory;
 import org.springframework.ai.chat.memory.MessageWindowChatMemory;
 import org.springframework.ai.ollama.OllamaChatModel;
 import org.springframework.ai.ollama.api.OllamaChatOptions;
@@ -32,7 +33,7 @@ public class OllamaTest {
     @Test
     public void chatTest() {
 
-        String model = "qwen3.5:2b";
+        String model = "qwen3.5:0.8b";
         String prompt = "你是一个研发工程师，擅长解决技术类问题。";
         String input = "Java实现二叉树层序遍历";
 
@@ -42,12 +43,13 @@ public class OllamaTest {
                 .builder(ollamaChatModel)
                 .defaultAdvisors(MessageChatMemoryAdvisor.builder(MessageWindowChatMemory.builder().build()).build())
                 .defaultAdvisors(SimpleLoggerAdvisor.builder().build())
-                .defaultOptions(OllamaChatOptions.builder().model(model).build())
+                .defaultOptions(OllamaChatOptions.builder().model(model))
                 .build();
 
         // call ollama
         String response = ollamaChatClient
                 .prompt(prompt)
+                .advisors(a -> a.param(ChatMemory.CONVERSATION_ID, "conversationId-default"))
                 .user(input)
                 .call()
                 .content();
@@ -59,7 +61,7 @@ public class OllamaTest {
     @Test
     public void chatStreamTest() throws InterruptedException {
 
-        String model = "qwen3.5:2b";
+        String model = "qwen3.5:0.8b";
         String prompt = "你是一个研发工程师，擅长解决技术类问题。";
         String input = "Java实现二叉树层序遍历";
 
@@ -69,13 +71,14 @@ public class OllamaTest {
                 .builder(ollamaChatModel)
                 .defaultAdvisors(MessageChatMemoryAdvisor.builder(MessageWindowChatMemory.builder().build()).build())
                 .defaultAdvisors(SimpleLoggerAdvisor.builder().build())
-                .defaultOptions(OllamaChatOptions.builder().model(model).build())
+                .defaultOptions(OllamaChatOptions.builder().model(model))
                 .build();
 
         // call ollama
         logger.info("input: {}", input);
         Flux<String> flux = ollamaChatClient
                 .prompt(prompt)
+                .advisors(a -> a.param(ChatMemory.CONVERSATION_ID, "conversationId-default"))
                 .user(input)
                 .stream()
                 .content();

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

@@ -7,6 +7,7 @@ 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.ChatMemory;
 import org.springframework.ai.chat.memory.MessageWindowChatMemory;
 import org.springframework.ai.openai.OpenAiChatModel;
 import org.springframework.boot.test.context.SpringBootTest;

xxl-job-executor-samples/xxl-job-executor-sample-springboot/src/main/resources/application.properties

@@ -8,7 +8,7 @@ logging.config=classpath:logback.xml
 
 
 ### xxl-job admin address list, such as "http://address" or "http://address01,http://address02"
-xxl.job.admin.addresses=http://127.0.0.1:8080/xxl-job-admin
+xxl.job.admin.addresses=http://127.0.0.1:8080
 ### xxl-job access token
 xxl.job.admin.accessToken=default_token
 ### xxl-job timeout by second, default 3s