[ server ] [ execution ]- optimize some controller - 2
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@@ -5,8 +5,8 @@ import io.swagger.annotations.Api;
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import io.swagger.annotations.ApiOperation;
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import io.swagger.annotations.ApiParam;
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import io.wdd.common.beans.response.R;
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import io.wdd.rpc.scheduler.config.UpdateJobBean;
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import io.wdd.rpc.scheduler.service.QuartzSchedulerService;
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import org.quartz.Trigger;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.web.bind.annotation.*;
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@@ -38,7 +38,7 @@ public class SchedulerController {
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}
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@ApiOperation(value = "删除一个job")
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@PostMapping(value = "/deleteJob/{jobName}")
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@PostMapping(value = "/deleteJob/")
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public R<String> deleteJob(
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@ApiParam(name = "jobName") @RequestParam("jobName") String jobName
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) {
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@@ -64,13 +64,25 @@ public class SchedulerController {
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@ApiOperation(value = "修改job的cron时间")
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@PostMapping(value = "/updateJob/{jobName}")
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public void deleteJob(
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@ApiParam(name = "jobName") @PathVariable("jobName") String jobName, @ApiParam(name = "jobCronTime") @RequestBody UpdateJobBean updateJobBean
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@ApiParam(name = "jobName") @RequestParam("jobName") String jobName,
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@ApiParam(name = "jobCronTime") @RequestParam("jobCronTime") String jobCronTime
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) {
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octopusQuartzService.updateJob(
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jobName,
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jobName,
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updateJobBean.getJobCronTime()
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jobCronTime
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);
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}
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@ApiOperation(value = "查询所有的触发器Trigger")
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@GetMapping(value = "/allTriggers")
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public R<List<Trigger>> queryAllTriggers() {
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return R.ok(
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octopusQuartzService.queryAllTrigger()
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);
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}
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@@ -19,7 +19,7 @@ import java.util.List;
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import java.util.stream.Collectors;
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import static io.wdd.rpc.execute.service.ExecutionResultDaemonHandler.WAIT_EXECUTION_RESULT_LIST;
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import static io.wdd.rpc.status.MonitorAllAgentStatus.ALL_AGENT_TOPIC_NAME_LIST;
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import static io.wdd.rpc.status.MonitorAllAgentStatus.ALL_AGENT_TOPIC_NAME_SET;
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@Service
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@Slf4j
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@@ -54,7 +54,7 @@ public class CoreExecutionServiceImpl implements CoreExecutionService {
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public String SendCommandToAgent(String agentTopicName, String type, List<String> commandList) {
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// 检查agentTopicName是否存在
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if (!ALL_AGENT_TOPIC_NAME_LIST.contains(agentTopicName)) {
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if (!ALL_AGENT_TOPIC_NAME_SET.contains(agentTopicName)) {
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log.error("agentTopicName异常!");
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throw new MyRuntimeException("agentTopicName异常!");
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}
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@@ -1,24 +0,0 @@
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package io.wdd.rpc.scheduler.config;
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import com.fasterxml.jackson.annotation.JsonInclude;
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import io.swagger.annotations.ApiModel;
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import io.swagger.annotations.ApiModelProperty;
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/**
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* @author Andya
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* @create 2021/04/01
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*/
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@ApiModel(value = "更新job cron时间参数")
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@JsonInclude(JsonInclude.Include.NON_NULL)
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public class UpdateJobBean {
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@ApiModelProperty(value = "jobTime的cron表达式", example = "0 0 1 * * ?")
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String jobCronTime;
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public String getJobCronTime() {
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return jobCronTime;
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}
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public void setJobCronTime(String jobCronTime) {
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this.jobCronTime = jobCronTime;
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}
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}
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@@ -16,15 +16,19 @@ public class AgentRunMetricStatusJob extends QuartzJobBean {
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@Resource
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AgentRuntimeMetricStatus agentRuntimeMetricStatus;
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@Override
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protected void executeInternal(JobExecutionContext jobExecutionContext) throws JobExecutionException {
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// 从JobDetailContext中获取相应的信息
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JobDataMap jobDataMap = jobExecutionContext.getJobDetail().getJobDataMap();
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JobDataMap jobDataMap = jobExecutionContext
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.getJobDetail()
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.getJobDataMap();
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// 执行Agent Metric 状态收集任务
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agentRuntimeMetricStatus.collect((Integer) jobDataMap.get(METRIC_REPORT_TIMES_COUNT), (Integer) jobDataMap.get(METRIC_REPORT_TIME_PINCH));
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agentRuntimeMetricStatus.collect(
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(Integer) jobDataMap.get(METRIC_REPORT_TIMES_COUNT),
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(Integer) jobDataMap.get(METRIC_REPORT_TIME_PINCH)
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);
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// todo 机构设计状态会被存储至 Redis Stream Key 中
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// AgentTopicName-Metric
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@@ -30,6 +30,9 @@ public class BuildStatusScheduleTask {
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@Value(value = "${octopus.status.healthy.start-delay}")
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int healthyCheckStartDelaySeconds;
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@Value(value = "${octopus.status.metric.cron}")
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int metricReportCronExpress;
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@Value(value = "${octopus.status.metric.pinch}")
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int metricReportTimePinch;
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@@ -64,8 +67,8 @@ public class BuildStatusScheduleTask {
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long totalSeconds = (nextValidTime.getTime() - now.getTime()) / 1000;
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metricReportTimesCount = (int) (totalSeconds / metricReportTimePinch) - 1;
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System.out.println("totalSeconds = " + totalSeconds);
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System.out.println("metricReportTimesCount = " + metricReportTimesCount);
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/*System.out.println("totalSeconds = " + totalSeconds);
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System.out.println("metricReportTimesCount = " + metricReportTimesCount);*/
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} catch (ParseException e) {
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throw new RuntimeException(e);
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@@ -22,8 +22,8 @@ import static io.wdd.rpc.status.AgentRuntimeMetricStatus.ALL_HEALTHY_AGENT_TOPIC
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/**
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* 更新频率被类 BuildStatusScheduleTask.class控制
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*
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*
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* <p>
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* <p>
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* 获取所有注册的Agent
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* <p>
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* 发送状态检查信息, agent需要update相应的HashMap的值
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@@ -38,7 +38,6 @@ import static io.wdd.rpc.status.AgentRuntimeMetricStatus.ALL_HEALTHY_AGENT_TOPIC
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@Slf4j
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public class MonitorAllAgentStatus {
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private static final int MAX_WAIT_AGENT_REPORT_STATUS_TIME = 5;
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/**
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* 存储 状态对应Agent列表的Map
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* Agent的状态描述为 AgentHealthyStatusEnum
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@@ -46,18 +45,17 @@ public class MonitorAllAgentStatus {
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* FAILED -> ["agentTopicName-1", "agentTopicName-2"]
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*/
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public static final Map<String, List<String>> HEALTHY_STATUS_AGENT_LIST_MAP = new HashMap<>();
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/**
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* 存储所有Agent状态的Map
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*
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* <p>
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* 内容为 agentTopicName-健康状态
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*/
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public static final Map<String, String> ALL_AGENT_HEALTHY_STATUS_MAP = new HashMap<>();
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/**
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* 存储所有的AgentTopicName的缓存
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*/
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public static final Set<String> ALL_AGENT_TOPIC_NAME_LIST = new HashSet<>();
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public static final Set<String> ALL_AGENT_TOPIC_NAME_SET = new HashSet<>();
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private static final int MAX_WAIT_AGENT_REPORT_STATUS_TIME = 5;
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@Resource
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RedisTemplate redisTemplate;
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@Resource
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@@ -66,6 +64,7 @@ public class MonitorAllAgentStatus {
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CoreServerService coreServerService;
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@Resource
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BuildStatusScheduleTask buildStatusScheduleTask;
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private List<String> ALL_AGENT_TOPIC_NAME_LIST;
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private HashMap<String, String> AGENT_HEALTHY_INIT_MAP;
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public void go() {
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@@ -75,14 +74,19 @@ public class MonitorAllAgentStatus {
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// 1. 获取所有注册的Agent
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// todo need to cache this
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List<ServerInfoVO> allAgentInfo = coreServerService.serverGetAll();
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Assert.notEmpty(allAgentInfo,
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"not agent registered ! skip the agent healthy status check !");
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Assert.notEmpty(
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allAgentInfo,
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"not agent registered ! skip the agent healthy status check !"
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);
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Set<String> collect = allAgentInfo.stream()
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ALL_AGENT_TOPIC_NAME_LIST = allAgentInfo
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.stream()
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.map(ServerInfoVO::getTopicName)
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.collect(Collectors.toSet());
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ALL_AGENT_TOPIC_NAME_LIST.clear();
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ALL_AGENT_TOPIC_NAME_LIST.addAll(collect);
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.collect(Collectors.toList());
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// 2023-01-16
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ALL_AGENT_TOPIC_NAME_SET.clear();
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ALL_AGENT_TOPIC_NAME_SET.addAll(ALL_AGENT_TOPIC_NAME_LIST);
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// 1.1 检查 Agent状态保存数据结构是否正常
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checkOrCreateRedisHealthyKey();
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@@ -110,28 +114,38 @@ public class MonitorAllAgentStatus {
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// build the redis all agent healthy map struct
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HashMap<String, String> initMap = new HashMap<>(32);
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ALL_AGENT_TOPICNAME_LIST.stream()
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ALL_AGENT_TOPIC_NAME_LIST
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.stream()
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.forEach(
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agentTopicName -> {
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initMap.put(agentTopicName,
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"0");
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initMap.put(
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agentTopicName,
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"0"
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);
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}
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);
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initMap.put("updateTime",
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TimeUtils.currentTimeString());
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initMap.put(
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"updateTime",
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TimeUtils.currentTimeString()
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);
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// cache this map struct
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AGENT_HEALTHY_INIT_MAP = initMap;
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redisTemplate.opsForHash()
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.putAll(ALL_AGENT_STATUS_REDIS_KEY,
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initMap);
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// create the healthy redis structure
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redisTemplate
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.opsForHash()
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.putAll(
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ALL_AGENT_STATUS_REDIS_KEY,
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initMap
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);
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}
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}
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private void buildAndSendAgentHealthMessage() {
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List<OctopusStatusMessage> collect = ALL_AGENT_TOPICNAME_LIST
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List<OctopusStatusMessage> collect = ALL_AGENT_TOPIC_NAME_LIST
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.stream()
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.map(
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agentTopicName -> OctopusStatusMessage
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@@ -146,26 +160,29 @@ public class MonitorAllAgentStatus {
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}
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private void updateAllAgentHealthyStatus() {
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List statusList = redisTemplate
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.opsForHash()
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.multiGet(
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ALL_AGENT_STATUS_REDIS_KEY,
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ALL_AGENT_TOPICNAME_LIST);
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ALL_AGENT_TOPIC_NAME_LIST
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);
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// current log to console is ok
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// agent-topic-name : STATUS(healthy, failed, unknown)
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HashMap<String, String> agentStatusMap = new HashMap<>(32);
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for (int i = 0; i < ALL_AGENT_TOPICNAME_LIST.size(); i++) {
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for (int i = 0; i < ALL_AGENT_TOPIC_NAME_LIST.size(); i++) {
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agentStatusMap.put(
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ALL_AGENT_TOPICNAME_LIST.get(i),
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ALL_AGENT_TOPIC_NAME_LIST.get(i),
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uniformHealthyStatus(String.valueOf(statusList.get(i)))
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);
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}
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String currentTimeString = TimeUtils.currentTimeString();
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log.info("[ AGENT HEALTHY CHECK ] time is {} , result are => {}",
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log.info(
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"[ AGENT HEALTHY CHECK ] time is {} , result are => {}",
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currentTimeString,
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agentStatusMap);
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agentStatusMap
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);
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// 2023-01-16
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ALL_AGENT_HEALTHY_STATUS_MAP.clear();
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@@ -204,9 +221,10 @@ public class MonitorAllAgentStatus {
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// Trigger调用Agent Metric 任务
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ArrayList<String> allHealthyAgentTopicNames = new ArrayList<>(32);
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for (int i = 0; i < statusList.size(); i++) {
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if (statusList.get(i)
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if (statusList
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.get(i)
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.equals("1")) {
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allHealthyAgentTopicNames.add(ALL_AGENT_TOPICNAME_LIST.get(i));
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allHealthyAgentTopicNames.add(ALL_AGENT_TOPIC_NAME_LIST.get(i));
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}
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}
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ALL_HEALTHY_AGENT_TOPIC_NAMES = allHealthyAgentTopicNames;
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@@ -214,12 +232,18 @@ public class MonitorAllAgentStatus {
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buildStatusScheduleTask.buildAgentMetricScheduleTask();
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// update time
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AGENT_HEALTHY_INIT_MAP.put("updateTime",
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currentTimeString);
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AGENT_HEALTHY_INIT_MAP.put(
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"updateTime",
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currentTimeString
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);
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// init the healthy map
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redisTemplate.opsForHash()
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.putAll(ALL_AGENT_STATUS_REDIS_KEY,
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AGENT_HEALTHY_INIT_MAP);
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redisTemplate
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.opsForHash()
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.putAll(
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ALL_AGENT_STATUS_REDIS_KEY,
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AGENT_HEALTHY_INIT_MAP
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);
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}
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private String uniformHealthyStatus(String agentStatus) {
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