1.安装部署脚本LogiKM可配置; 2.增加网关接口及第三方接口可直接调用的开关;

distribution/conf/application.yml.example

@@ -85,6 +85,9 @@ client-pool:
     borrow-timeout-unit-ms: 3000  # 租借超时时间，单位毫秒
 
 account:
+  jump-login:
+    gateway-api: false            # 网关接口
+    third-part-api: false         # 第三方接口
   ldap:
     enabled: false
     url: ldap://127.0.0.1:389/
@@ -98,19 +101,20 @@ account:
     auth-user-registration: true
     auth-user-registration-role: normal
 
-kcm:
+kcm:                                  # 集群安装部署，仅安装broker
-  enabled: false
+  enabled: false                      # 是否开启
-  s3:
+  s3:                                   # s3 存储服务
     endpoint: s3.didiyunapi.com
     access-key: 1234567890
     secret-key: 0987654321
     bucket: logi-kafka
-  n9e:
+  n9e:                                  # 夜莺
-    base-url: http://127.0.0.1:8004
+    base-url: http://127.0.0.1:8004     # 夜莺job服务地址
-    user-token: 12345678
+    user-token: 12345678                # 用户的token
-    timeout: 300
+    timeout: 300                        # 当台操作的超时时间
-    account: root
+    account: root                       # 操作时使用的账号
-    script-file: kcm_script.sh
+    script-file: kcm_script.sh          # 脚本，已内置好，在源码的kcm模块内，此处配置无需修改
+    logikm-url: http://127.0.0.1:8080   # logikm部署地址，部署时kcm_script.sh会调用logikm检查部署中的一些状态
 
 monitor:
   enabled: false

kafka-manager-common/src/main/java/com/xiaojukeji/kafka/manager/common/constant/ApiPrefix.java

@@ -20,12 +20,6 @@ public class ApiPrefix {
     // open
     public static final String API_V1_THIRD_PART_PREFIX = API_V1_PREFIX + "third-part/";
 
-    // 开放给OP的接口, 后续对 应的接口的集群都需要是物理集群
-    public static final String API_V1_THIRD_PART_OP_PREFIX = API_V1_THIRD_PART_PREFIX + "op/";
-
-    // 开放给Normal的接口, 后续对应的接口的集群，都需要是逻辑集群
-    public static final String API_V1_THIRD_PART_NORMAL_PREFIX = API_V1_THIRD_PART_PREFIX + "normal/";
-
     // gateway
     public static final String GATEWAY_API_V1_PREFIX = "/gateway" + API_V1_PREFIX;
 

kafka-manager-extends/kafka-manager-account/src/main/java/com/xiaojukeji/kafka/manager/account/impl/LoginServiceImpl.java

@@ -14,6 +14,7 @@ import com.xiaojukeji.kafka.manager.common.utils.ValidateUtils;
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
 import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.beans.factory.annotation.Value;
 import org.springframework.stereotype.Service;
 
 import javax.servlet.http.Cookie;
@@ -27,7 +28,13 @@ import javax.servlet.http.HttpSession;
  */
 @Service("loginService")
 public class LoginServiceImpl implements LoginService {
-    private final static Logger LOGGER = LoggerFactory.getLogger(LoginServiceImpl.class);
+    private static final Logger LOGGER = LoggerFactory.getLogger(LoginServiceImpl.class);
+
+    @Value(value = "${account.jump-login.gateway-api:false}")
+    private Boolean jumpLoginGatewayApi;
+
+    @Value(value = "${account.jump-login.third-part-api:false}")
+    private Boolean jumpLoginThirdPartApi;
 
     @Autowired
     private AccountService accountService;
@@ -75,8 +82,10 @@ public class LoginServiceImpl implements LoginService {
             return false;
         }
 
-        if (classRequestMappingValue.equals(ApiPrefix.API_V1_SSO_PREFIX)) {
+        if (classRequestMappingValue.equals(ApiPrefix.API_V1_SSO_PREFIX) ||
-            // 白名单接口直接true
+                (jumpLoginGatewayApi != null && jumpLoginGatewayApi && classRequestMappingValue.equals(ApiPrefix.GATEWAY_API_V1_PREFIX)) ||
+                (jumpLoginThirdPartApi != null && jumpLoginThirdPartApi && classRequestMappingValue.equals(ApiPrefix.API_V1_THIRD_PART_PREFIX))) {
+            // 登录接口 or 允许跳过且是跳过类型的接口，则直接跳过登录
             return true;
         }
 

kafka-manager-extends/kafka-manager-kcm/src/main/java/com/xiaojukeji/kafka/manager/kcm/component/agent/n9e/N9e.java

@@ -37,21 +37,24 @@ import java.util.Map;
 public class N9e extends AbstractAgent {
     private static final Logger LOGGER = LoggerFactory.getLogger(N9e.class);
 
-    @Value("${kcm.n9e.base-url}")
+    @Value("${kcm.n9e.base-url:}")
     private String      baseUrl;
 
-    @Value("${kcm.n9e.user-token}")
+    @Value("${kcm.n9e.user-token:12345678}")
     private String      userToken;
 
-    @Value("${kcm.n9e.account}")
+    @Value("${kcm.n9e.account:root}")
     private String      account;
 
-    @Value("${kcm.n9e.timeout}")
+    @Value("${kcm.n9e.timeout:300}")
     private Integer     timeout;
 
-    @Value("${kcm.n9e.script-file}")
+    @Value("${kcm.n9e.script-file:kcm_script.sh}")
     private String      scriptFile;
 
+    @Value("${kcm.n9e.logikm-url:}")
+    private String      logiKMUrl;
+
     private String      script;
 
     private static final String CREATE_TASK_URI = "/api/job-ce/tasks";
@@ -219,7 +222,8 @@ public class N9e extends AbstractAgent {
         sb.append(creationTaskData.getKafkaPackageUrl()).append(",,");
         sb.append(creationTaskData.getServerPropertiesName().replace(KafkaFileEnum.SERVER_CONFIG.getSuffix(), "")).append(",,");
         sb.append(creationTaskData.getServerPropertiesMd5()).append(",,");
-        sb.append(creationTaskData.getServerPropertiesUrl());
+        sb.append(creationTaskData.getServerPropertiesUrl()).append(",,");
+        sb.append(this.logiKMUrl);
 
         N9eCreationTask n9eCreationTask = new N9eCreationTask();
         n9eCreationTask.setTitle(Constant.TASK_TITLE_PREFIX + "-集群ID:" + creationTaskData.getClusterId());

kafka-manager-extends/kafka-manager-kcm/src/main/resources/kcm_script.sh

@@ -18,12 +18,13 @@ p_kafka_server_properties_name=${7}   #server配置名
 p_kafka_server_properties_md5=${8}    #server配置MD5
 p_kafka_server_properties_url=${9}    #server配置文件下载地址
 
+p_kafka_manager_url=${10}             #LogiKM地址
+
 #----------------------------------------配置信息------------------------------------------------------#
 g_base_dir='/home'
 g_cluster_task_dir=${g_base_dir}"/kafka_cluster_task/task_${p_task_id}"  #部署升级路径
 g_rollback_version=${g_cluster_task_dir}"/rollback_version"              #回滚版本
 g_new_kafka_package_name=''                                              #最终的包名
-g_kafka_manager_addr=''                                                  #kafka-manager地址
 g_local_ip=`ifconfig -a|grep inet|grep -v 127.0.0.1|grep -v inet6|awk '{print $2}'|tr -d "addr:"`
 g_hostname=${g_local_ip}
 
@@ -47,7 +48,7 @@ function dchat_alarm() {
 
 # 检查并初始化环境
 function check_and_init_env() {
-    if [ -z "${p_task_id}" -o -z "${p_cluster_task_type}" -o -z "${p_kafka_package_url}" -o -z "${p_cluster_id}" -o -z "${p_kafka_package_name}" -o -z "${p_kafka_package_md5}" -o -z "${p_kafka_server_properties_name}" -o -z "${p_kafka_server_properties_md5}" ]; then
+    if [ -z "${p_task_id}" -o -z "${p_cluster_task_type}" -o -z "${p_kafka_package_url}" -o -z "${p_cluster_id}" -o -z "${p_kafka_package_name}" -o -z "${p_kafka_package_md5}" -o -z "${p_kafka_server_properties_name}" -o -z "${p_kafka_server_properties_md5}" -o -z "${p_kafka_manager_url}" ]; then
         ECHO_LOG "存在为空的参数不合法, 退出集群任务"
         dchat_alarm "存在为空的参数不合法, 退出集群任务"
         exit 1
@@ -72,11 +73,11 @@ function check_and_init_env() {
 
 # 检查并等待集群所有的副本处于同步的状态
 function check_and_wait_broker_stabled() {
-    under_replication_count=`curl -s -G -d "hostname="${g_hostname} ${g_kafka_manager_addr}/api/v1/third-part/${p_cluster_id}/broker-stabled | python -m json.tool | grep true |wc -l`
+    under_replication_count=`curl -s -G -d "hostname="${g_hostname} ${p_kafka_manager_url}/api/v1/third-part/${p_cluster_id}/broker-stabled | python -m json.tool | grep true |wc -l`
     while [ "$under_replication_count" -ne 1 ]; do
         ECHO_LOG "存在${under_replication_count}个副本未同步, sleep 10s"
         sleep 10
-        under_replication_count=`curl -s -G -d "hostname="${g_hostname} ${g_kafka_manager_addr}/api/v1/third-part/${p_cluster_id}/broker-stabled | python -m json.tool | grep true |wc -l`
+        under_replication_count=`curl -s -G -d "hostname="${g_hostname} ${p_kafka_manager_url}/api/v1/third-part/${p_cluster_id}/broker-stabled | python -m json.tool | grep true |wc -l`
     done
     ECHO_LOG "集群副本都已经处于同步的状态, 可以进行集群升级"
 }
@@ -324,6 +325,7 @@ ECHO_LOG "      p_kafka_package_name=${p_kafka_package_name}"
 ECHO_LOG "      p_kafka_package_md5=${p_kafka_package_md5}"
 ECHO_LOG "      p_kafka_server_properties_name=${p_kafka_server_properties_name}"
 ECHO_LOG "      p_kafka_server_properties_md5=${p_kafka_server_properties_md5}"
+ECHO_LOG "      p_kafka_manager_url=${p_kafka_manager_url}"
 
 
 
@@ -342,7 +344,7 @@ fi
 ECHO_LOG "停kafka服务"
 stop_kafka_server
 
-ECHO_LOG "停5秒, 确保"
+ECHO_LOG "再停5秒, 确保端口已释放"
 sleep 5
 
 if [ "${p_cluster_task_type}" == "0" ];then

kafka-manager-web/src/main/java/com/xiaojukeji/kafka/manager/web/api/versionone/thirdpart/ThirdPartBrokerController.java

@@ -32,7 +32,7 @@ import java.util.stream.Collectors;
  */
 @Api(tags = "开放接口-Broker相关接口(REST)")
 @RestController
-@RequestMapping(ApiPrefix.API_V1_THIRD_PART_OP_PREFIX)
+@RequestMapping(ApiPrefix.API_V1_THIRD_PART_PREFIX)
 public class ThirdPartBrokerController {
     @Autowired
     private BrokerService brokerService;
@@ -44,7 +44,7 @@ public class ThirdPartBrokerController {
     private ClusterService clusterService;
 
     @ApiOperation(value = "Broker信息概览", notes = "")
-    @RequestMapping(value = "{clusterId}/brokers/{brokerId}/overview", method = RequestMethod.GET)
+    @GetMapping(value = "{clusterId}/brokers/{brokerId}/overview")
     @ResponseBody
     public Result<ThirdPartBrokerOverviewVO> getBrokerOverview(@PathVariable Long clusterId,
                                                                @PathVariable Integer brokerId) {
@@ -70,7 +70,7 @@ public class ThirdPartBrokerController {
     }
 
     @ApiOperation(value = "BrokerRegion信息", notes = "所有集群的")
-    @RequestMapping(value = "broker-regions", method = RequestMethod.GET)
+    @GetMapping(value = "broker-regions")
     @ResponseBody
     public Result<List<BrokerRegionVO>> getBrokerRegions() {
         List<ClusterDO> clusterDOList = clusterService.list();

kafka-manager-web/src/main/resources/application.yml

@@ -79,6 +79,9 @@ client-pool:
     borrow-timeout-unit-ms: 3000  # 租借超时时间，单位毫秒
 
 account:
+  jump-login:
+    gateway-api: false            # 网关接口
+    third-part-api: false         # 第三方接口
   ldap:
     enabled: false
     url: ldap://127.0.0.1:389/
@@ -92,19 +95,20 @@ account:
     auth-user-registration: true
     auth-user-registration-role: normal
 
-kcm:
+kcm:                                  # 集群安装部署，仅安装broker
-  enabled: false
+  enabled: false                      # 是否开启
-  s3:
+  s3:                                   # s3 存储服务
     endpoint: s3.didiyunapi.com
     access-key: 1234567890
     secret-key: 0987654321
     bucket: logi-kafka
-  n9e:
+  n9e:                                  # 夜莺
-    base-url: http://127.0.0.1:8004
+    base-url: http://127.0.0.1:8004     # 夜莺job服务地址
-    user-token: 12345678
+    user-token: 12345678                # 用户的token
-    timeout: 300
+    timeout: 300                        # 当台操作的超时时间
-    account: root
+    account: root                       # 操作时使用的账号
-    script-file: kcm_script.sh
+    script-file: kcm_script.sh          # 脚本，已内置好，在源码的kcm模块内，此处配置无需修改
+    logikm-url: http://127.0.0.1:8080   # logikm部署地址，部署时kcm_script.sh会调用logikm检查部署中的一些状态
 
 monitor:
   enabled: false