refactor(ops): 删除重复的OrderQueueServiceImpl实现类

保留 OrderQueueServiceEnhanced 作为唯一实现,避免Bean冲突

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
lzh
2026-01-31 18:53:41 +08:00
parent f9742137c5
commit 009fab543f
2 changed files with 42 additions and 760 deletions

View File

@@ -464,34 +464,48 @@ public class OrderQueueServiceEnhanced implements OrderQueueService {
return Collections.emptyList();
}
@Override
public List<OrderQueueDTO> getWaitingTasksByUserId(Long userId) {
// 获取所有任务
List<OrderQueueDTO> allTasks = getTasksByUserId(userId);
// 过滤出 WAITING 状态的任务,并按队列分数排序
return allTasks.stream()
.filter(task -> OrderQueueStatusEnum.WAITING.getStatus().equals(task.getQueueStatus()))
.sorted((a, b) -> {
// 优先使用队列分数 score 排序(已在入队时计算好)
if (a.getQueueScore() != null && b.getQueueScore() != null) {
return Double.compare(a.getQueueScore(), b.getQueueScore());
}
// 兜底:如果 score 为空,则按优先级+时间排序
// 按优先级排序P0 > P1 > P2 > P3
int priorityCompare = Integer.compare(
b.getPriority() != null ? b.getPriority() : 999,
a.getPriority() != null ? a.getPriority() : 999
);
if (priorityCompare != 0) {
return priorityCompare;
}
// 优先级相同,按入队时间排序
return a.getEnqueueTime().compareTo(b.getEnqueueTime());
})
.collect(Collectors.toList());
}
@Override
public List<OrderQueueDTO> getWaitingTasksByUserId(Long userId) {
// 获取所有任务
List<OrderQueueDTO> allTasks = getTasksByUserId(userId);
// 过滤出 WAITING 状态的任务,并按队列分数排序
return filterAndSortWaitingTasks(allTasks);
}
@Override
public List<OrderQueueDTO> getWaitingTasksByUserIdFromDb(Long userId) {
// 直接从 MySQL 获取所有任务
List<OpsOrderQueueDO> mysqlList = orderQueueMapper.selectListByUserId(userId);
List<OrderQueueDTO> allTasks = convertToDTO(mysqlList);
// 过滤出 WAITING 状态的任务,并按队列分数排序
return filterAndSortWaitingTasks(allTasks);
}
private List<OrderQueueDTO> filterAndSortWaitingTasks(List<OrderQueueDTO> allTasks) {
return allTasks.stream()
.filter(task -> OrderQueueStatusEnum.WAITING.getStatus().equals(task.getQueueStatus()))
.sorted((a, b) -> {
// 优先使用队列分数 score 排序(已在入队时计算好)
if (a.getQueueScore() != null && b.getQueueScore() != null) {
return Double.compare(a.getQueueScore(), b.getQueueScore());
}
// 兜底:如果 score 为空,则按优先级+时间排序
// 按优先级排序P0 > P1 > P2 > P3
int priorityCompare = Integer.compare(
b.getPriority() != null ? b.getPriority() : 999,
a.getPriority() != null ? a.getPriority() : 999
);
if (priorityCompare != 0) {
return priorityCompare;
}
// 优先级相同,按入队时间排序
return a.getEnqueueTime().compareTo(b.getEnqueueTime());
})
.collect(Collectors.toList());
}
@Override
public List<OrderQueueDTO> getInterruptedTasksByUserId(Long userId) {

View File

@@ -1,732 +0,0 @@
package com.viewsh.module.ops.service.queue;
import com.viewsh.module.ops.api.queue.OrderQueueDTO;
import com.viewsh.module.ops.api.queue.OrderQueueService;
import com.viewsh.module.ops.dal.dataobject.queue.OpsOrderQueueDO;
import com.viewsh.module.ops.dal.mysql.queue.OpsOrderQueueMapper;
import com.viewsh.module.ops.enums.OrderQueueStatusEnum;
import com.viewsh.module.ops.enums.PriorityEnum;
import jakarta.annotation.Resource;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.BeanUtils;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Transactional;
import java.time.LocalDateTime;
import java.time.ZoneId;
import java.util.*;
import java.util.concurrent.CompletableFuture;
import java.util.stream.Collectors;
/**
* 工单队列管理服务实现
* <p>
* 架构说明:
* 1. 写入:先写 MySQL持久化再异步写 Redis高性能
* 2. 读取:优先读 Redis未命中则读 MySQL 并同步到 Redis
* 3. 同步:定时任务将 MySQL 数据同步到 Redis
* 4. 容灾Redis 宕机时降级到纯 MySQL 模式
*
* @author lzh
*/
@Slf4j
@Service
public class OrderQueueServiceImpl implements OrderQueueService {
/**
* Score 计算公式:优先级分数 + 时间戳
* 优先级分数P0=0, P1=1000000, P2=2000000, P3=3000000
* 时间戳:秒级时间戳
* 结果:优先级高的排在前面,同优先级按时间排序
*/
private static final Map<Integer, Long> PRIORITY_SCORES = Map.of(
0, 0L, // P0: 0
1, 1000000L, // P1: 1,000,000
2, 2000000L, // P2: 2,000,000
3, 3000000L // P3: 3,000,000
);
@Resource
private OpsOrderQueueMapper orderQueueMapper;
@Resource
private RedisOrderQueueService redisQueueService;
@Resource
private QueueSyncService queueSyncService;
@Override
@Transactional(rollbackFor = Exception.class)
public Long enqueue(Long opsOrderId, Long userId, PriorityEnum priority, Integer queueIndex) {
// 1. 检查工单是否已在队列中MySQL
OpsOrderQueueDO existingQueue = orderQueueMapper.selectByOpsOrderId(opsOrderId);
if (existingQueue != null) {
log.warn("工单已在队列中: opsOrderId={}, userId={}, existingQueueId={}", opsOrderId, userId,
existingQueue.getId());
return existingQueue.getId();
}
// 2. 计算队列分数
LocalDateTime now = LocalDateTime.now();
double queueScore = calculateQueueScore(priority.getPriority(), now);
// 3. 创建队列记录MySQL
OpsOrderQueueDO queueDO = OpsOrderQueueDO.builder()
.opsOrderId(opsOrderId)
.userId(userId)
.queueIndex(queueIndex != null ? queueIndex : calculateNextQueueIndex(priority))
.priority(priority.getPriority())
.queueScore(queueScore)
.queueStatus(OrderQueueStatusEnum.WAITING.getStatus())
.enqueueTime(now)
.pausedDuration(0)
.eventMessage("工单入队,等待派单")
.build();
orderQueueMapper.insert(queueDO);
log.info("工单已入队(MySQL): opsOrderId={}, userId={}, priority={}, queueId={}",
opsOrderId, userId, priority, queueDO.getId());
// 3. 异步写入 Redis失败不影响主流程
OrderQueueDTO dto = convertToDTO(queueDO);
CompletableFuture.runAsync(() -> {
try {
redisQueueService.enqueue(dto);
log.debug("工单已入队(Redis): queueId={}", dto.getId());
} catch (Exception e) {
log.error("Redis 入队失败,依赖定时同步任务补偿: queueId={}", dto.getId(), e);
}
});
// 4. 如果是P0紧急任务记录警告日志
if (priority.isUrgent()) {
log.warn("检测到P0紧急任务入队需立即处理: opsOrderId={}", opsOrderId);
// TODO: 触发紧急派单流程(在派单引擎中实现)
}
return queueDO.getId();
}
@Override
@Transactional(rollbackFor = Exception.class)
public boolean dequeue(Long queueId) {
// 1. MySQL 删除
OpsOrderQueueDO queueDO = orderQueueMapper.selectById(queueId);
if (queueDO == null) {
log.warn("队列记录不存在: queueId={}", queueId);
return false;
}
// 只允许删除终态的记录
if (!isTerminalStatus(queueDO.getQueueStatus())) {
log.warn("只能删除终态的队列记录: queueId={}, status={}", queueId, queueDO.getQueueStatus());
return false;
}
int deleted = orderQueueMapper.deleteById(queueId);
// 2. 异步删除 Redis
if (deleted > 0) {
CompletableFuture.runAsync(() -> {
try {
redisQueueService.remove(queueId);
log.debug("Redis 删除队列记录成功: queueId={}", queueId);
} catch (Exception e) {
log.error("Redis 删除队列记录失败: queueId={}", queueId, e);
}
});
}
log.info("队列记录已删除: queueId={}, deleted={}", queueId, deleted > 0);
return deleted > 0;
}
@Override
@Transactional(rollbackFor = Exception.class)
public boolean dequeueByOpsOrderId(Long opsOrderId) {
OpsOrderQueueDO queueDO = orderQueueMapper.selectByOpsOrderId(opsOrderId);
if (queueDO == null) {
log.warn("工单不在队列中: opsOrderId={}", opsOrderId);
return false;
}
return dequeue(queueDO.getId());
}
@Override
@Transactional(rollbackFor = Exception.class)
public boolean updateStatus(Long queueId, OrderQueueStatusEnum newStatus) {
// 1. MySQL 更新
OpsOrderQueueDO queueDO = orderQueueMapper.selectById(queueId);
if (queueDO == null) {
log.warn("队列记录不存在: queueId={}", queueId);
return false;
}
String oldStatus = queueDO.getQueueStatus();
// 状态流转校验
if (!validateStatusTransition(oldStatus, newStatus.getStatus())) {
log.warn("非法的状态流转: queueId={}, oldStatus={}, newStatus={}",
queueId, oldStatus, newStatus.getStatus());
return false;
}
queueDO.setQueueStatus(newStatus.getStatus().toUpperCase());
updateStatusTimestamp(queueDO, newStatus);
int updated = orderQueueMapper.updateById(queueDO);
// 2. 更新 Redis
if (updated > 0) {
OrderQueueDTO dto = convertToDTO(queueDO);
// REMOVED 状态需要同步更新,确保任务完成后立即从 Redis 队列移除
// 避免自动派单下一个时查询到已完成的任务
if (OrderQueueStatusEnum.REMOVED == newStatus) {
try {
redisQueueService.updateStatus(queueId, newStatus.getStatus());
log.debug("Redis 同步更新状态成功: queueId={}, status={}", queueId, newStatus.getStatus());
} catch (Exception e) {
log.error("Redis 同步更新状态失败: queueId={}", queueId, e);
}
} else {
// 其他状态异步更新
CompletableFuture.runAsync(() -> {
try {
redisQueueService.updateStatus(queueId, newStatus.getStatus());
log.debug("Redis 异步更新状态成功: queueId={}, status={}", queueId, newStatus.getStatus());
} catch (Exception e) {
log.error("Redis 异步更新状态失败: queueId={}", queueId, e);
}
});
}
}
log.info("队列状态已更新: queueId={}, opsOrderId={}, oldStatus={}, newStatus={}",
queueId, queueDO.getOpsOrderId(), oldStatus, newStatus.getStatus());
return updated > 0;
}
@Override
@Transactional(rollbackFor = Exception.class)
public boolean startExecution(Long queueId) {
OpsOrderQueueDO queueDO = orderQueueMapper.selectById(queueId);
if (queueDO == null) {
log.warn("队列记录不存在: queueId={}", queueId);
return false;
}
if (!OrderQueueStatusEnum.WAITING.getStatus().equals(queueDO.getQueueStatus())) {
log.warn("只有WAITING状态的任务可以开始执行: queueId={}, status={}",
queueId, queueDO.getQueueStatus());
return false;
}
// 队列状态流转WAITING → PROCESSING
queueDO.setQueueStatus(OrderQueueStatusEnum.PROCESSING.getStatus());
queueDO.setDequeueTime(LocalDateTime.now());
queueDO.setEventMessage("派单成功,已分配给执行人员");
int updated = orderQueueMapper.updateById(queueDO);
// 异步更新 Redis
if (updated > 0) {
CompletableFuture.runAsync(() -> {
try {
redisQueueService.updateStatus(queueId, OrderQueueStatusEnum.PROCESSING.getStatus());
} catch (Exception e) {
log.error("Redis 更新状态失败: queueId={}", queueId, e);
}
});
}
log.info("派单成功: queueId={}, opsOrderId={}, assigneeId={}",
queueId, queueDO.getOpsOrderId(), queueDO.getUserId());
return updated > 0;
}
@Override
@Transactional(rollbackFor = Exception.class)
public boolean pauseTask(Long queueId) {
OpsOrderQueueDO queueDO = orderQueueMapper.selectById(queueId);
if (queueDO == null) {
log.warn("队列记录不存在: queueId={}", queueId);
return false;
}
// 允许 PROCESSING 状态的任务可以暂停
String currentStatus = queueDO.getQueueStatus();
if (!OrderQueueStatusEnum.PROCESSING.getStatus().equals(currentStatus)) {
log.warn("只有PROCESSING状态的任务可以暂停: queueId={}, status={}",
queueId, currentStatus);
return false;
}
// 队列状态流转PROCESSING → PAUSED
queueDO.setQueueStatus(OrderQueueStatusEnum.PAUSED.getStatus());
// 计算暂停时长
if (queueDO.getDequeueTime() != null) {
long pausedSeconds = java.time.Duration.between(
queueDO.getDequeueTime(),
LocalDateTime.now()).getSeconds();
queueDO.addPausedDuration((int) pausedSeconds);
}
queueDO.setEventMessage("任务已暂停");
int updated = orderQueueMapper.updateById(queueDO);
// 异步更新 Redis
if (updated > 0) {
CompletableFuture.runAsync(() -> {
try {
redisQueueService.updateStatus(queueId, OrderQueueStatusEnum.PAUSED.getStatus());
} catch (Exception e) {
log.error("Redis 更新状态失败: queueId={}", queueId, e);
}
});
}
log.info("任务已暂停: queueId={}, opsOrderId={}, pausedDuration={}",
queueId, queueDO.getOpsOrderId(), queueDO.getPausedDuration());
return updated > 0;
}
@Override
@Transactional(rollbackFor = Exception.class)
public boolean resumeTask(Long queueId) {
OpsOrderQueueDO queueDO = orderQueueMapper.selectById(queueId);
if (queueDO == null) {
log.warn("队列记录不存在: queueId={}", queueId);
return false;
}
// 只有 PAUSED 状态的任务可以恢复
String currentStatus = queueDO.getQueueStatus();
if (!OrderQueueStatusEnum.PAUSED.getStatus().equals(currentStatus)) {
log.warn("只有PAUSED状态的任务可以恢复: queueId={}, status={}",
queueId, currentStatus);
return false;
}
// 队列状态流转PAUSED → PROCESSING
queueDO.setQueueStatus(OrderQueueStatusEnum.PROCESSING.getStatus());
queueDO.setDequeueTime(LocalDateTime.now()); // 重置出队时间
queueDO.setEventMessage("任务已恢复执行");
int updated = orderQueueMapper.updateById(queueDO);
// 异步更新 Redis
if (updated > 0) {
CompletableFuture.runAsync(() -> {
try {
redisQueueService.updateStatus(queueId, OrderQueueStatusEnum.PROCESSING.getStatus());
} catch (Exception e) {
log.error("Redis 更新状态失败: queueId={}", queueId, e);
}
});
}
log.info("任务已恢复执行: queueId={}, opsOrderId={}", queueId, queueDO.getOpsOrderId());
return updated > 0;
}
@Override
@Transactional(rollbackFor = Exception.class)
public boolean adjustPriority(Long queueId, PriorityEnum newPriority, String reason) {
OpsOrderQueueDO queueDO = orderQueueMapper.selectById(queueId);
if (queueDO == null) {
log.warn("队列记录不存在: queueId={}", queueId);
return false;
}
Integer oldPriority = queueDO.getPriority();
// 如果优先级没有变化,直接返回
if (oldPriority.equals(newPriority.getPriority())) {
log.info("优先级未变化: queueId={}, priority={}", queueId, newPriority);
return true;
}
queueDO.setPriorityEnum(newPriority);
// 重新计算队列顺序
queueDO.setQueueIndex(calculateNextQueueIndex(newPriority));
// 重新计算队列分数(使用原入队时间保持时间戳不变)
LocalDateTime enqueueTime = queueDO.getEnqueueTime() != null ? queueDO.getEnqueueTime() : LocalDateTime.now();
double newQueueScore = calculateQueueScore(newPriority.getPriority(), enqueueTime);
queueDO.setQueueScore(newQueueScore);
queueDO.setEventMessage("优先级调整: " + oldPriority + " -> " + newPriority + ", 原因: " + reason);
int updated = orderQueueMapper.updateById(queueDO);
// 异步更新 Redis
if (updated > 0) {
CompletableFuture.runAsync(() -> {
try {
redisQueueService.updatePriority(queueId, newPriority.getPriority());
} catch (Exception e) {
log.error("Redis 更新优先级失败: queueId={}", queueId, e);
}
});
}
log.info("优先级已调整: queueId={}, opsOrderId={}, oldPriority={}, newPriority={}, reason={}, newScore={}",
queueId, queueDO.getOpsOrderId(), oldPriority, newPriority, reason, newQueueScore);
// 如果升级为P0触发紧急派单
if (newPriority.isUrgent()) {
log.warn("任务升级为P0紧急需立即处理: queueId={}, opsOrderId={}",
queueId, queueDO.getOpsOrderId());
// TODO: 触发紧急派单流程
}
return updated > 0;
}
@Override
@Transactional(rollbackFor = Exception.class)
public boolean adjustPriorityByOpsOrderId(Long opsOrderId, PriorityEnum newPriority, String reason) {
OpsOrderQueueDO queueDO = orderQueueMapper.selectByOpsOrderId(opsOrderId);
if (queueDO == null) {
log.warn("工单不在队列中: opsOrderId={}", opsOrderId);
return false;
}
return adjustPriority(queueDO.getId(), newPriority, reason);
}
@Override
@Transactional(rollbackFor = Exception.class)
public boolean upgradeToUrgent(Long opsOrderId, String reason) {
return adjustPriorityByOpsOrderId(opsOrderId, PriorityEnum.P0, reason);
}
@Override
public List<OrderQueueDTO> getWaitingQueue() {
// 优先从 Redis 获取
// TODO: 实现全局等待队列(需要聚合所有用户的队列)
// 这里暂时使用 MySQL
List<OpsOrderQueueDO> list = orderQueueMapper.selectListWaiting();
return convertToDTO(list);
}
@Override
public List<OrderQueueDTO> getUrgentOrders() {
// TODO: 优先从 Redis 获取
List<OpsOrderQueueDO> list = orderQueueMapper.selectUrgentOrders();
return convertToDTO(list);
}
@Override
public OrderQueueDTO getCurrentTaskByUserId(Long userId) {
// 1. 优先从 Redis 获取
List<OrderQueueDTO> redisTasks = redisQueueService.peekTasks(userId, 1);
if (redisTasks != null && !redisTasks.isEmpty()) {
return redisTasks.get(0);
}
// 2. Redis 未命中,从 MySQL 获取并同步到 Redis
OpsOrderQueueDO queueDO = orderQueueMapper.selectCurrentExecutingByUserId(userId);
if (queueDO != null) {
// 同步到 Redis
OrderQueueDTO dto = convertToDTO(queueDO);
CompletableFuture.runAsync(() -> {
try {
redisQueueService.enqueue(dto);
} catch (Exception e) {
log.error("同步到 Redis 失败: queueId={}", dto.getId(), e);
}
});
return dto;
}
return null;
}
@Override
public List<OrderQueueDTO> getTasksByUserId(Long userId) {
// 1. 优先从 Redis 获取
List<OrderQueueDTO> redisTasks = redisQueueService.getTasksByUserId(userId);
if (redisTasks != null && !redisTasks.isEmpty()) {
return redisTasks;
}
// 2. Redis 未命中,从 MySQL 获取并同步到 Redis
List<OpsOrderQueueDO> mysqlList = orderQueueMapper.selectListByUserId(userId);
if (mysqlList != null && !mysqlList.isEmpty()) {
// 同步到 Redis
List<OrderQueueDTO> dtoList = convertToDTO(mysqlList);
CompletableFuture.runAsync(() -> {
try {
redisQueueService.batchEnqueue(dtoList);
} catch (Exception e) {
log.error("批量同步到 Redis 失败: userId={}", userId, e);
}
});
return dtoList;
}
return Collections.emptyList();
}
@Override
public List<OrderQueueDTO> getWaitingTasksByUserId(Long userId) {
// 获取所有任务
List<OrderQueueDTO> allTasks = getTasksByUserId(userId);
// 过滤出 WAITING 状态的任务,并按队列分数排序
return allTasks.stream()
.filter(task -> OrderQueueStatusEnum.WAITING.getStatus().equalsIgnoreCase(task.getQueueStatus()))
.sorted((a, b) -> {
// 优先使用队列分数 score 排序(已在入队时计算好)
if (a.getQueueScore() != null && b.getQueueScore() != null) {
return Double.compare(a.getQueueScore(), b.getQueueScore());
}
// 兜底:如果 score 为空,则按优先级+时间排序
// 按优先级排序P0 > P1 > P2 > P3
int priorityCompare = Integer.compare(
b.getPriority() != null ? b.getPriority() : 999,
a.getPriority() != null ? a.getPriority() : 999);
if (priorityCompare != 0) {
return priorityCompare;
}
// 优先级相同,按入队时间排序
return a.getEnqueueTime().compareTo(b.getEnqueueTime());
})
.collect(Collectors.toList());
}
@Override
public List<OrderQueueDTO> getWaitingTasksByUserIdFromDb(Long userId) {
// 直接从 MySQL 获取等待中的任务(忽略 Redis 缓存)
// 用于确保获取最新数据,例如在任务完成后自动派单下一个时
List<OpsOrderQueueDO> mysqlList = orderQueueMapper.selectListByUserIdAndStatus(
userId, OrderQueueStatusEnum.WAITING.getStatus());
if (mysqlList == null || mysqlList.isEmpty()) {
return Collections.emptyList();
}
// 转换为 DTO 并按队列分数排序
return mysqlList.stream()
.map(this::convertToDTO)
.filter(Objects::nonNull)
.sorted((a, b) -> {
// 优先使用队列分数 score 排序
if (a.getQueueScore() != null && b.getQueueScore() != null) {
return Double.compare(a.getQueueScore(), b.getQueueScore());
}
// 兜底:如果 score 为空,则按优先级+时间排序
int priorityCompare = Integer.compare(
b.getPriority() != null ? b.getPriority() : 999,
a.getPriority() != null ? a.getPriority() : 999);
if (priorityCompare != 0) {
return priorityCompare;
}
return a.getEnqueueTime().compareTo(b.getEnqueueTime());
})
.collect(Collectors.toList());
}
@Override
public List<OrderQueueDTO> getInterruptedTasksByUserId(Long userId) {
// 获取所有任务
List<OrderQueueDTO> allTasks = getTasksByUserId(userId);
// 过滤出 PAUSED 状态的任务,并按中断时间排序
return allTasks.stream()
.filter(task -> OrderQueueStatusEnum.PAUSED.getStatus().equals(task.getQueueStatus()))
.sorted((a, b) -> {
// 按中断时间排序(最早中断的排在前面)
// 如果没有中断时间字段,则按入队时间排序
if (a.getEnqueueTime() != null && b.getEnqueueTime() != null) {
return a.getEnqueueTime().compareTo(b.getEnqueueTime());
}
return 0;
})
.collect(Collectors.toList());
}
@Override
public OrderQueueDTO getById(Long queueId) {
// 1. 优先从 Redis Hash 获取
OrderQueueDTO redisDTO = redisQueueService.getByQueueId(queueId);
if (redisDTO != null) {
return redisDTO;
}
// 2. Redis 未命中,从 MySQL 获取
OpsOrderQueueDO queueDO = orderQueueMapper.selectById(queueId);
if (queueDO != null) {
OrderQueueDTO dto = convertToDTO(queueDO);
// 同步到 Redis
CompletableFuture.runAsync(() -> {
try {
redisQueueService.enqueue(dto);
} catch (Exception e) {
log.error("同步到 Redis 失败: queueId={}", dto.getId(), e);
}
});
return dto;
}
return null;
}
@Override
public OrderQueueDTO getByOpsOrderId(Long opsOrderId) {
// 1. 优先从 Redis 获取(遍历所有用户队列,性能较差,慎用)
OrderQueueDTO redisDTO = redisQueueService.getByOrderId(opsOrderId);
if (redisDTO != null) {
return redisDTO;
}
// 2. Redis 未命中,从 MySQL 获取
OpsOrderQueueDO queueDO = orderQueueMapper.selectByOpsOrderId(opsOrderId);
if (queueDO != null) {
return convertToDTO(queueDO);
}
return null;
}
@Override
public Long countWaiting() {
// 优先从 Redis 获取(需要聚合所有用户)
// TODO: 实现分布式计数器
return orderQueueMapper.countWaiting();
}
@Override
public Long countByUserId(Long userId) {
// 优先从 Redis 获取
long redisCount = redisQueueService.getQueueSize(userId);
if (redisCount > 0) {
return redisCount;
}
// Redis 未命中,从 MySQL 获取
return orderQueueMapper.countByUserId(userId);
}
@Override
@Transactional(rollbackFor = Exception.class)
public boolean updateEventMessage(Long queueId, String eventMessage) {
OpsOrderQueueDO queueDO = orderQueueMapper.selectById(queueId);
if (queueDO == null) {
log.warn("队列记录不存在: queueId={}", queueId);
return false;
}
queueDO.setEventMessage(eventMessage);
int updated = orderQueueMapper.updateById(queueDO);
log.info("事件消息已更新: queueId={}, eventMessage={}", queueId, eventMessage);
return updated > 0;
}
// ========== 私有方法 ==========
/**
* 计算队列分数(用于排序)
* 公式:优先级分数 + 时间戳
*
* @param priority 优先级0=P0, 1=P1, 2=P2, 3=P3
* @param enqueueTime 入队时间
* @return 队列分数
*/
private double calculateQueueScore(Integer priority, LocalDateTime enqueueTime) {
// 获取优先级分数
long priorityScore = PRIORITY_SCORES.getOrDefault(priority, 3000000L);
// 计算时间戳(秒级)
long timestamp;
if (enqueueTime != null) {
timestamp = enqueueTime.atZone(ZoneId.systemDefault()).toEpochSecond();
} else {
timestamp = System.currentTimeMillis() / 1000;
}
return priorityScore + timestamp;
}
/**
* 计算下一个队列顺序号
*/
private Integer calculateNextQueueIndex(PriorityEnum priority) {
// TODO: 查询当前优先级的最大 queueIndex然后 +1
// 这里简化处理,返回默认值
return priority.getQueueOrder() * 1000;
}
/**
* 判断是否为终态
*/
private boolean isTerminalStatus(String status) {
return "CANCELLED".equals(status) || "COMPLETED".equals(status)
|| "REMOVED".equals(status) || "FAILED".equals(status);
}
/**
* 校验状态流转是否合法
*/
private boolean validateStatusTransition(String oldStatus, String newStatus) {
// 终态不能再变更
if (isTerminalStatus(oldStatus)) {
return false;
}
// 允许的状态流转(支持新旧状态)
return switch (oldStatus.toUpperCase()) {
case "PENDING" -> "WAITING".equals(newStatus) || "CANCELLED".equals(newStatus);
case "WAITING" -> "PROCESSING".equals(newStatus) || "DISPATCHED".equals(newStatus)
|| "CANCELLED".equals(newStatus);
case "PROCESSING", "DISPATCHED" -> "PAUSED".equals(newStatus)
|| "REMOVED".equals(newStatus) || "COMPLETED".equals(newStatus);
case "PAUSED" -> "PROCESSING".equals(newStatus) || "DISPATCHED".equals(newStatus);
default -> false;
};
}
/**
* 根据状态更新时间戳
*/
private void updateStatusTimestamp(OpsOrderQueueDO queueDO, OrderQueueStatusEnum status) {
switch (status.getStatus().toUpperCase()) {
case "DISPATCHED" -> {
if (queueDO.getDequeueTime() == null) {
queueDO.setDequeueTime(LocalDateTime.now());
}
}
case "REMOVED", "COMPLETED" -> {
// 可以记录完成时间(如果表有该字段)
}
}
}
/**
* 转换为 DTO
*/
private OrderQueueDTO convertToDTO(OpsOrderQueueDO queueDO) {
OrderQueueDTO dto = new OrderQueueDTO();
BeanUtils.copyProperties(queueDO, dto);
return dto;
}
/**
* 批量转换为 DTO
*/
private List<OrderQueueDTO> convertToDTO(List<OpsOrderQueueDO> list) {
return list.stream()
.map(this::convertToDTO)
.collect(Collectors.toList());
}
}