From a7c9ed23a07e22b525942d989eb8a159f2a4f130 Mon Sep 17 00:00:00 2001
From: guyue <1721849008@qq.com>
Date: 星期三, 30 七月 2025 14:32:48 +0800
Subject: [PATCH] 修改重复次数统计增加num

---
 src/main/java/com/linghu/controller/CollectController.java | 1618 ++++++++++++++++++++++++++++++++++++++++++-----------------
 1 files changed, 1,144 insertions(+), 474 deletions(-)

diff --git a/src/main/java/com/linghu/controller/CollectController.java b/src/main/java/com/linghu/controller/CollectController.java
index e0fdeeb..0fd9d17 100644
--- a/src/main/java/com/linghu/controller/CollectController.java
+++ b/src/main/java/com/linghu/controller/CollectController.java
@@ -4,6 +4,8 @@
 import java.time.LocalDateTime;
 import java.time.format.DateTimeFormatter;
 import java.util.*;
+import java.util.concurrent.*;
+import java.util.concurrent.locks.ReentrantLock;
 import java.util.stream.Collectors;
 
 import javax.servlet.http.HttpServletRequest;
@@ -16,7 +18,10 @@
 import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.beans.factory.annotation.Value;
 import org.springframework.core.ParameterizedTypeReference;
+import org.springframework.dao.DuplicateKeyException;
 import org.springframework.http.*;
+import org.springframework.transaction.annotation.Transactional;
+import org.springframework.web.reactive.function.client.ExchangeStrategies;
 import org.springframework.web.reactive.function.client.WebClient;
 
 import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
@@ -35,10 +40,6 @@
 import com.linghu.model.dto.TaskResultResponse.QuestionResult;
 import com.linghu.model.dto.TaskResultResponse.UserResult;
 import reactor.core.scheduler.Schedulers;
-
-import java.util.stream.Collectors;
-import java.util.stream.IntStream;
-import java.util.stream.Stream;
 
 @RestController
 @RequestMapping("/collect")
@@ -67,129 +68,193 @@
     private PlatformService platformService;
     @Autowired
     private TypeService typeService;
+    @Autowired
+    private UserService userService;
+    @Autowired
+    private OrderService orderService;
+    @Autowired
+    private QuestionResultService questionResultService;
 
+    // 替换为线程安全队列
+    private static final Queue<SearchTaskRequest> taskQueue = new ConcurrentLinkedQueue<>();
+    // 全局映射:关键词ID -> 批次队列
+    private static final ConcurrentMap<Integer, Queue<List<UserDto>>> batchQueues = new ConcurrentHashMap<>();
 
- /*   @PostMapping("/search")
+//    private static boolean isProcessing = false;
+    private static volatile boolean isProcessing = false; // 添加 volatile
+
+    @PostMapping("/search")
     @ApiOperation(value = "开始采集")
-    public Mono<SearchTaskResponse> createSearchTask(
+    public Mono<ResponseResult<?>> createSearchTask(
             @RequestBody SearchTaskRequest searchTaskRequest,
             HttpServletRequest request) throws JsonProcessingException {
 
-        return webClient.post()
-                .uri(baseUrl + "/api/v1/search")
-                .contentType(MediaType.APPLICATION_JSON)
-                .bodyValue(searchTaskRequest)
-                .retrieve()
-                .onStatus(HttpStatus::is4xxClientError, response -> response.bodyToMono(String.class)
-                        .flatMap(errorBody -> Mono.error(new RuntimeException(errorBody))))
-                .bodyToMono(new ParameterizedTypeReference<SearchTaskResponse>() {
-                })
-                .flatMap(responseResult -> {
-                    // 提取任务ID
-                    SearchTaskResponse taskResponse = responseResult;
-                    if (taskResponse != null && taskResponse.getTask_id() != null) {
-                        // 保存任务ID到关键词
-                        LambdaUpdateWrapper<Keyword> updateWrapper = new LambdaUpdateWrapper<>();
-                        updateWrapper.eq(Keyword::getKeyword_id, searchTaskRequest.getKeyword_id());
-                        updateWrapper.set(Keyword::getStatus,"Submitted");
-                        updateWrapper.set(Keyword::getTask_id, taskResponse.getTask_id());
-                        keywordService.update(updateWrapper);
+        // 首先检查服务器资源
+        return getServerResource()
+                .flatMap(resourceResponse -> {
+                    double cpuUsage = parseUsage(resourceResponse.getCpu_usage_percent());
+                    double memoryUsage = parseUsage(resourceResponse.getMemory_usage_percent());
 
-                        // 可选:更新响应中的其他信息
+                    if (cpuUsage >= 90.0 || memoryUsage >= 90.0) {
 
+                            String errorMsg = String.format("服务器资源不足,请稍后再试");
+
+                        log.warn(errorMsg);
+                        return Mono.just(ResponseResult.error(503, errorMsg));
                     }
-                    return Mono.just(taskResponse);
+
+                    // 将新的任务请求加入队列
+                    taskQueue.add(searchTaskRequest);
+
+                    // 如果当前没有任务在处理中,则启动任务队列的处理
+                    if (!isProcessing) {
+                        processNextTaskInQueue();
+                    }
+
+                    // 返回响应,通知用户任务已开始
+                    return Mono.just(ResponseResult.success("任务已加入队列,正在处理..."));
                 })
                 .onErrorResume(e -> {
-                    // return Mono.just(ResponseResult.error("调用失败: " + e.getMessage()));
-                    SearchTaskResponse task = new SearchTaskResponse();
-                    task.setMessage("调用失败: " + e.getMessage());
-                    return Mono.just(task);
+                    log.error("检查服务器资源失败: {}", e.getMessage(), e);
+                    return Mono.just(ResponseResult.error("检查服务器资源失败: " + e.getMessage()));
                 });
-    }*/
+    }
 
-//    public SearchTaskController(WebClient.Builder webClientBuilder, KeywordService keywordService) {
-//        this.webClient = webClientBuilder.build();
-//        this.keywordService = keywordService;
-//    }
+    private void processNextTaskInQueue() {
+        // 设置为正在处理
+        isProcessing = true;
 
-   /* @PostMapping("/search")
-    @ApiOperation(value = "开始采集")
-    public Mono<SearchTaskResponse> createSearchTask(
-            @RequestBody SearchTaskRequest searchTaskRequest,
-            HttpServletRequest request) throws JsonProcessingException {
+        // 从队列中取出下一个任务
+        SearchTaskRequest nextTaskRequest = taskQueue.poll();
 
+        if (nextTaskRequest != null) {
+            Integer keywordId = nextTaskRequest.getKeyword_id();
+            log.info("开始处理任务队列,keywordId: {}", keywordId);
+
+            executeBatchTask(nextTaskRequest)
+                    .doFinally(signal -> {
+                        isProcessing = false;
+                        if (!taskQueue.isEmpty()) {
+                            processNextTaskInQueue();
+                        }
+                    })
+                    .subscribe(
+                            result -> log.info("任务处理完成,keywordId: {}", keywordId), // 成功日志
+                            error -> { // 关键:添加错误处理
+                                log.error("任务队列处理异常,keywordId: {}", keywordId, error);
+                            }
+                    );
+        } else {
+            isProcessing = false; // 无任务时重置状态
+        }
+    }
+    private Mono<ResponseResult<String>> executeBatchTask(SearchTaskRequest searchTaskRequest) {
+        Integer keywordId = searchTaskRequest.getKeyword_id();
+        //
         int maxConcurrentUsers = searchTaskRequest.getConfig() != null ?
                 searchTaskRequest.getConfig().getMax_concurrent_users() : 3;
-        List<List<UserDto>> userBatches = splitUsersIntoBatches(searchTaskRequest.getUsers(), maxConcurrentUsers);
+        List<List<UserDto>> userBatches = splitUsersIntoBatches(searchTaskRequest.getUsers(), maxConcurrentUsers, keywordId,searchTaskRequest.getIs_first());
 
-        return processBatchesSequentially(userBatches, searchTaskRequest)
-                .onErrorResume(e -> {
-                    SearchTaskResponse task = new SearchTaskResponse();
-                    task.setMessage("调用失败: " + e.getMessage());
-                    return Mono.just(task);
+
+        // 创建批次队列并存入全局映射
+        Queue<List<UserDto>> batchQueue = new ConcurrentLinkedQueue<>(userBatches);
+        batchQueues.put(keywordId, batchQueue); // 存储到全局映射
+
+        return Mono.just(ResponseResult.success("第一个批次已开始"))
+                .doOnTerminate(() -> {
+                    executeBatchTask(batchQueue, searchTaskRequest, keywordId)
+                            .subscribe(
+                                    result -> log.info("批次任务启动成功,keywordId: {}", keywordId),
+                                    error -> { // 处理批次执行异常
+                                        log.error("批次任务执行异常,keywordId: {}", keywordId, error);
+                                        // 可选:异常时清理资源
+                                        batchQueues.remove(keywordId);
+                                    }
+                            );
                 });
     }
+    private Mono<ResponseResult<?>> executeBatchTask(Queue<List<UserDto>> batchQueue, SearchTaskRequest searchTaskRequest, Integer keywordId) {
+        // 如果队列为空,说明所有批次已经完成
 
-    private List<List<UserDto>> splitUsersIntoBatches(List<UserDto> users, int batchSize) {
-        List<List<UserDto>> batches = new ArrayList<>();
-        for (int i = 0; i < users.size(); i += batchSize) {
-            batches.add(users.subList(i, Math.min(i + batchSize, users.size())));
+        if (batchQueue == null || batchQueue.isEmpty()) {
+            // 清理资源
+            batchQueues.remove(keywordId);
+            return Mono.just(ResponseResult.success("所有批次已完成"));
         }
-        return batches;
-    }
 
-    private Mono<SearchTaskResponse> processBatchesSequentially(List<List<UserDto>> userBatches, SearchTaskRequest originalRequest) {
-        Mono<SearchTaskResponse> resultMono = Mono.empty();
-        for (List<UserDto> batch : userBatches) {
-            SearchTaskRequest batchRequest = new SearchTaskRequest();
-            batchRequest.setUsers(batch);
-            batchRequest.setQuestions(originalRequest.getQuestions());
-            batchRequest.setConfig(originalRequest.getConfig());
-            batchRequest.setSave_to_database(originalRequest.getSave_to_database());
-            batchRequest.setWebhook_url(originalRequest.getWebhook_url());
-            batchRequest.setKeyword_id(originalRequest.getKeyword_id());
+        List<UserDto> currentBatch = batchQueue.poll(); // 从队列中获取当前批次
+        SearchTaskRequest batchRequest = new SearchTaskRequest();
+        batchRequest.setUsers(currentBatch);
+        batchRequest.setQuestions(searchTaskRequest.getQuestions());
+        batchRequest.setConfig(searchTaskRequest.getConfig());
+        batchRequest.setSave_to_database(searchTaskRequest.getSave_to_database());
+        batchRequest.setWebhook_url(searchTaskRequest.getWebhook_url());
+        batchRequest.setKeyword_id(keywordId);
 
-            resultMono = resultMono.then(createSingleBatchTask(batchRequest));
-        }
-        return resultMono;
-    }
-
-    private Mono<SearchTaskResponse> createSingleBatchTask(SearchTaskRequest batchRequest) {
-        return webClient.post()
-                .uri(baseUrl + "/api/v1/search")
-                .contentType(MediaType.APPLICATION_JSON)
-                .bodyValue(batchRequest)
-                .retrieve()
-                .onStatus(HttpStatus::is4xxClientError, response -> response.bodyToMono(String.class)
-                        .flatMap(errorBody -> Mono.error(new RuntimeException(errorBody))))
-                .bodyToMono(new ParameterizedTypeReference<SearchTaskResponse>() {
-                })
-                .flatMap(responseResult -> {
-                    SearchTaskResponse taskResponse = responseResult;
+        return createSingleBatchTask(batchRequest)
+                .flatMap(taskResponse -> {
                     if (taskResponse != null && taskResponse.getTask_id() != null) {
-                        LambdaUpdateWrapper<Keyword> updateWrapper = new LambdaUpdateWrapper<>();
-                        updateWrapper.eq(Keyword::getKeyword_id, batchRequest.getKeyword_id());
-                        updateWrapper.set(Keyword::getStatus, "Submitted");
-                        updateWrapper.set(Keyword::getTask_id, taskResponse.getTask_id());
-                        keywordService.update(updateWrapper);
+                        // 直接等待任务完成,不再保存任务关联信息
+                        return waitForTaskCompletion(taskResponse.getTask_id(), batchQueue, searchTaskRequest, keywordId);
+                    } else {
+                        return Mono.just(ResponseResult.error("创建批次任务失败"));
                     }
-                    return waitForTaskCompletion(taskResponse.getTask_id())
-                            .then(Mono.just(taskResponse));
+                })
+                .onErrorResume(e -> {
+                    log.error("调用第三方接口失败: {}", e.getMessage(), e); // 关键日志
+                    return Mono.error(new RuntimeException("调用第三方接口失败: " + e.getMessage()));
+                })
+                .doFinally(signal -> {
+                    // 任务完成时清理资源
+                    if (batchQueue.isEmpty()) {
+                        batchQueues.remove(keywordId);
+                    }
                 });
     }
 
-    private Mono<Void> waitForTaskCompletion(String taskId) {
-        return Flux.interval(Duration.ofSeconds(5)) // 每5秒执行一次
-                .flatMap(tick -> webClient.get()
-                        .uri(baseUrl + "/api/v1/tasks/" + taskId)
-                        .retrieve()
-                        .bodyToMono(TaskStatusResponse.class)
-                )
-                .filter(response -> "completed".equals(response.getStatus()))
-                .next() // 找到第一个完成的响应后结束流
-                .then(); // 转换为Mono<Void>
-    }*/
+    private Mono<ResponseResult<?>> waitForTaskCompletion(String taskId, Queue<List<UserDto>> batchQueue, SearchTaskRequest searchTaskRequest, Integer keywordId) {
+        // 查询任务状态
+        return getTaskStatus(taskId)
+                .flatMap(statusResponse -> {
+                    // 检查任务是否被取消
+                    if ("cancelled".equalsIgnoreCase(statusResponse.getStatus())) {
+                        batchQueues.remove(keywordId); // 清理资源
+                        return Mono.just(ResponseResult.success("任务已被取消"));
+                    }
+                    // 如果任务状态是"submitted"或"running",继续轮询
+                    if (!"completed".equalsIgnoreCase(statusResponse.getStatus()) && !"failed".equalsIgnoreCase(statusResponse.getStatus()) && !"cancelled".equalsIgnoreCase(statusResponse.getStatus()) && !("ERROR".equalsIgnoreCase(statusResponse.getStatus()) && statusResponse.getMessage().contains("Task not found")) ) {
+                        return Mono.delay(Duration.ofSeconds(5))  // 延迟 5 秒后再次查询
+                                .flatMap(aLong -> waitForTaskCompletion(taskId, batchQueue, searchTaskRequest, keywordId));  // 递归调用继续等待
+                    } else {
+                        // 如果状态为其他状态,则继续处理下一个批次
+                        return executeBatchTask(batchQueue, searchTaskRequest, keywordId);
+                    }
+                })
+                .onErrorResume(e -> {
+                    // 处理查询任务状态时的错误
+                    return Mono.just(ResponseResult.error("查询任务状态失败: " + e.getMessage()));
+                });
+    }
+    @ApiOperation(value = "查询任务状态")
+    @GetMapping("/status")
+    public Mono<TaskStatusResponse> getTaskStatus(String taskId) {
+        return webClient.get()
+                .uri(baseUrl + "/api/v1/tasks/" + taskId)
+                .accept(MediaType.APPLICATION_JSON)
+                .retrieve()
+                .onStatus(HttpStatus::isError, response -> response.bodyToMono(TaskStatusResponse.class)
+                        .flatMap(errorBody -> Mono.error(new RuntimeException(errorBody.getDetail()))))
+                .bodyToMono(TaskStatusResponse.class)
+                .onErrorResume(e -> {
+                    // 处理错误,创建一个自定义的错误响应对象
+                    TaskStatusResponse errorResponse = new TaskStatusResponse();
+                    errorResponse.setStatus("ERROR");
+                    errorResponse.setMessage(e.getMessage());
+                    errorResponse.setDetail(e.getMessage());
+                    return Mono.just(errorResponse);
+                });
+    }
+
    // 添加一个辅助方法来安全地将字符串转换为double
    private double parseUsage(String usageStr) {
        try {
@@ -204,105 +269,42 @@
            return 0.0;
        }
    }
-   @PostMapping("/search")
-   @ApiOperation(value = "开始采集")
-   public Mono<ResponseResult<?>> createSearchTask(
-           @RequestBody SearchTaskRequest searchTaskRequest,
-           HttpServletRequest request) throws JsonProcessingException {
 
-       // 首先检查服务器资源
-       return getServerResource()
-               .flatMap(resourceResponse -> {
-                   // 将字符串类型的使用率转换为double类型
-                   double cpuUsage = parseUsage(resourceResponse.getCpu_usage_percent());
-                   double memoryUsage = parseUsage(resourceResponse.getMemory_usage_percent());
-                   // 检查CPU和内存使用率
-                   if (cpuUsage >= 90.0 || memoryUsage >= 90.0) {
-                       String errorMsg = String.format("服务器资源不足:CPU使用率 %.1f%%,内存使用率 %.1f%%",
-                               resourceResponse.getCpu_usage_percent(), resourceResponse.getMemory_usage_percent());
-                       log.warn(errorMsg);
-                       return Mono.just(ResponseResult.error(503, errorMsg));
-                   }
-
-                   int maxConcurrentUsers = searchTaskRequest.getConfig() != null ?
-                           searchTaskRequest.getConfig().getMax_concurrent_users() : 3;
-                   List<List<UserDto>> userBatches = splitUsersIntoBatches(searchTaskRequest.getUsers(), maxConcurrentUsers);
-
-                   // 获取 keywordId
-                   Integer keywordId = searchTaskRequest.getKeyword_id();
-                   //分割
-
-     
-                   return Flux.fromIterable(userBatches)
-                           .flatMap(batch -> {
-                               SearchTaskRequest batchRequest = new SearchTaskRequest();
-                               batchRequest.setUsers(batch);
-                               batchRequest.setQuestions(searchTaskRequest.getQuestions());
-                               batchRequest.setConfig(searchTaskRequest.getConfig());
-                               batchRequest.setSave_to_database(searchTaskRequest.getSave_to_database());
-                               batchRequest.setWebhook_url(searchTaskRequest.getWebhook_url());
-                               batchRequest.setKeyword_id(keywordId);
-
-                               return createSingleBatchTask(batchRequest)
-                                       .delaySubscription(Duration.ofSeconds(2)); // 批次之间添加延迟
-                           }, 1) // 限制并发数为1,确保顺序执行
-                           .collectList() // 收集所有批次的响应
-                           .flatMap(responses ->
-                                   saveKeywordTasks(keywordId, responses) // 保存关联关系
-                                           .thenReturn(responses) // 返回原始响应
-                           )
-                           .map(responses -> ResponseResult.success(responses)) // 使用ResponseResult包装结果
-                           .onErrorResume(e -> {
-                               log.error("创建搜索任务失败: {}", e.getMessage(), e);
-                               return Mono.just(ResponseResult.error("创建搜索任务失败: " + e.getMessage()));
-                           });
-               })
-               .onErrorResume(e -> {
-                   log.error("检查服务器资源失败: {}", e.getMessage(), e);
-                   return Mono.just(ResponseResult.error("检查服务器资源失败: " + e.getMessage()));
-               });
-   }
-
-    private Mono<Void> saveKeywordTasks(Integer keywordId, List<SearchTaskResponse> taskResponses) {
-        List<KeywordTask> keywordTasks = taskResponses.stream()
-                .filter(response -> response.getTask_id() != null)
-                .map(response -> {
-                    KeywordTask keywordTask = new KeywordTask();
-                    keywordTask.setKeyword_id(keywordId);
-                    keywordTask.setTask_id(response.getTask_id());
-                    keywordTask.setStatus("pending");
-                    return keywordTask;
-                })
-                .collect(Collectors.toList());
-
-        // 将 MyBatis-Plus 的同步方法包装为 Mono<Void>
-        return Mono.fromRunnable(() -> {
-                    boolean success = keywordTaskService.saveOrUpdateBatch(keywordTasks);
-                    if (!success) {
-                        throw new RuntimeException("保存关键词任务关联失败");
-                    }
-                })
-                .doFinally(signalType -> log.info("成功保存 {} 个关键词任务关联", keywordTasks.size()))
-                .then();
-    }
-
-    private List<List<UserDto>> splitUsersIntoBatches(List<UserDto> users, int batchSize,Integer keywordId) {
+    private List<List<UserDto>> splitUsersIntoBatches(List<UserDto> users, int batchSize,Integer keywordId,Boolean isFirst) {
 
         Keyword keyword = keywordService.getById(keywordId);
-        if (null==keyword.getNum()){
-            keyword.setNum(0);
+        if (isFirst){
+            keyword.setNum(1);
+        }else {
+            keyword.setNum(keyword.getNum()+1);
         }
-        keyword.setNum(keyword.getNum()+1);
         keywordService.updateById(keyword);
 
         List<List<UserDto>> batches = new ArrayList<>();
         for (int i = 0; i < users.size(); i += batchSize) {
             batches.add(users.subList(i, Math.min(i + batchSize, users.size())));
+
         }
+        for (int i = 0; i < batches.size(); i++){
+            // 创建 KeywordTask 关联,task_id 设置为 null,表示任务尚未开始
+            KeywordTask keywordTask = new KeywordTask();
+            keywordTask.setKeyword_id(keywordId);
+            keywordTask.setTask_id(null);  // 任务ID为空
+
+            keywordTask.setNum(keyword.getNum());
+            keywordTaskService.save(keywordTask);  // 保存 KeywordTask
+        }
+
+
         return batches;
     }
 
     private Mono<SearchTaskResponse> createSingleBatchTask(SearchTaskRequest batchRequest) {
+        // 记录请求第三方的基本信息(便于排查)
+        String thirdPartyUrl = baseUrl + "/api/v1/search";
+        Integer keywordId = batchRequest.getKeyword_id();
+        log.info("开始向第三方提交任务,keywordId: {}, URL: {}, 请求参数: {}",
+                keywordId, thirdPartyUrl, batchRequest.toString()); // 打印请求参数(建议用工具类转JSON)
         return webClient.post()
                 .uri(baseUrl + "/api/v1/search")
                 .contentType(MediaType.APPLICATION_JSON)
@@ -310,17 +312,61 @@
                 .retrieve()
                 .onStatus(HttpStatus::is4xxClientError, response -> response.bodyToMono(String.class)
                         .flatMap(errorBody -> Mono.error(new RuntimeException(errorBody))))
+                // 处理第三方返回的5xx服务器错误(如第三方服务异常)
+                .onStatus(HttpStatus::is5xxServerError, response ->
+                        response.bodyToMono(String.class)
+                                .flatMap(errorBody -> {
+                                    String errorMsg = String.format("第三方接口5xx错误,keywordId: %d, URL: %s, 状态码: %d, 错误详情: %s",
+                                            keywordId, thirdPartyUrl, response.statusCode().value(), errorBody);
+                                    log.error(errorMsg);
+                                    return Mono.error(new RuntimeException(errorMsg));
+                                })
+                )
                 .bodyToMono(new ParameterizedTypeReference<SearchTaskResponse>() {})
                 .flatMap(taskResponse -> {
                     if (taskResponse != null && taskResponse.getTask_id() != null) {
 
                         // 使用 Reactor 的方式更新数据库
                         return Mono.fromRunnable(() -> {
+
+                                     //更新关键词状态
                                     LambdaUpdateWrapper<Keyword> updateWrapper = new LambdaUpdateWrapper<>();
                                     updateWrapper.eq(Keyword::getKeyword_id, batchRequest.getKeyword_id());
                                     updateWrapper.set(Keyword::getStatus, "submitted");
                                     updateWrapper.set(Keyword::getTask_id, taskResponse.getTask_id());
                                     keywordService.update(updateWrapper);
+                                    //设置轮数
+                                    Keyword keyword = keywordService.getById(batchRequest.getKeyword_id());
+                                    // 更新关键词任务与任务ID的关联
+                                    // 获取与关键词相关的任务,task_id 为 null,确保只取一个任务
+                                    List<KeywordTask> keywordTasks = keywordTaskService.list(new LambdaQueryWrapper<KeywordTask>()
+                                            .eq(KeywordTask::getKeyword_id, keyword.getKeyword_id())
+                                            .eq(KeywordTask::getNum, keyword.getNum())
+                                            .isNull(KeywordTask::getTask_id));
+                                    if (keywordTasks.size() > 0) {
+                                        KeywordTask keywordTask = keywordTasks.get(0);
+                                        keywordTask.setTask_id(taskResponse.getTask_id());
+                                        keywordTask.setStatus("pending");
+                                        keywordTaskService.updateById(keywordTask);
+                                    }
+                                    //将提问词列表的状态转为pending
+                                    for (String questionName : batchRequest.getQuestions()) {
+                                        questionService.update(new LambdaUpdateWrapper<Question>().eq(Question::getKeyword_id, keyword.getKeyword_id()).eq(Question::getQuestion,questionName).set(Question::getStatus, "pending"));
+
+                                    }
+                                    //所有关键词都在采集中或者已完成或者错误设置订单进入采集状态
+                                    List<Keyword> orderKeywords = keywordService.list(new LambdaQueryWrapper<Keyword>()
+                                            .eq(Keyword::getOrder_id, keyword.getOrder_id()));
+                                    if (!orderKeywords.isEmpty() && orderKeywords.stream().allMatch(k ->
+                                            "completed".equals(k.getStatus()) || "submitted".equals(k.getStatus())
+                                    )) {
+                                        Orders orders = orderService.getById(keyword.getOrder_id());
+                                        if (orders != null) {
+                                            orders.setStatus(2);
+                                            orderService.updateById(orders);
+
+                                        }
+                                    }
                                 }).subscribeOn(Schedulers.boundedElastic()) // 在弹性线程池执行
                                 .thenReturn(taskResponse);
                     }
@@ -328,74 +374,193 @@
                 });
     }
 
-    // 移除原来的waitForTaskCompletion方法,不再需要同步等待
-    @ApiOperation(value = "查询任务状态")
-    @GetMapping("/status")
-    public Mono<TaskStatusResponse> getTaskStatus(String taskId) {
-        return webClient.get()
-                .uri(baseUrl + "/api/v1/tasks/" + taskId)
-                .accept(MediaType.APPLICATION_JSON)
-                .retrieve()
-                .onStatus(HttpStatus::isError, response -> response.bodyToMono(TaskStatusResponse.class)
-                        .flatMap(errorBody -> Mono.error(new RuntimeException(errorBody.getDetail()))))
-                .bodyToMono(TaskStatusResponse.class)
-                .flatMap(result -> {
-                    TaskStatusResponse taskStatusResponse = result;
-                    if (taskStatusResponse != null && taskStatusResponse.getStatus() != null) {
-                        List<Question> updateQuestions = taskStatusResponse.getQuestions_status().stream()
-                                .map(qs -> {
-                                    Question question = new Question();
-                                    question.setQuestion_id(qs.getQuestion_id());
-                                    question.setStatus(qs.getStatus());
-                                    return question;
-                                }).collect(Collectors.toList());
+    @PostMapping("/cancel/{keywordId}")
+    @ApiOperation(value = "取消任务")
+    public Mono<ResponseResult<TaskCancelResponse>> cancelTask(@PathVariable Integer keywordId) {
+        // 1. 从主队列移除任务
+        List<SearchTaskRequest> removedMainQueueTasks = removeTasksFromQueueByKeywordId(keywordId);
+        int removedMainQueueCount = removedMainQueueTasks.size(); // 获取移除的任务数量
 
-                        // 包装成响应式操作
-                        return Mono.fromCallable(() -> {
-                            questionService.updateBatchById(updateQuestions);
-                            return result;
-                        });
+        // 2. 从批次队列移除任务 (新增逻辑)
+        int removedBatchQueue = removeBatchTasksByKeywordId(keywordId);
 
-                    }
-                    return Mono.just(result);
-                })
-                .onErrorResume(e -> {
-                    // 创建一个自定义的错误响应对象
-                    TaskStatusResponse errorResponse = new TaskStatusResponse();
-                    errorResponse.setStatus("ERROR");
-                    errorResponse.setMessage(e.getMessage());
-                    errorResponse.setDetail(e.getMessage());
+        // 3. 查询所有与关键词相关的任务
+        List<KeywordTask> tasks = keywordTaskService.list(
+                new LambdaQueryWrapper<KeywordTask>().eq(KeywordTask::getKeyword_id, keywordId)
+        );
 
-                    return Mono.just(errorResponse);
+        // 4. 筛选出需要远程取消的任务
+        List<KeywordTask> tasksToCancelRemotely = tasks.stream()
+                .filter(task -> task.getTask_id() != null && "pending".equalsIgnoreCase(task.getStatus()))
+                .collect(Collectors.toList());
+
+        return Flux.fromIterable(tasksToCancelRemotely)
+                .flatMap(task -> {
+                    // 创建状态更新和远程取消的组合操作
+                    Mono<Void> updateStatus = updateTaskStatus(task.getTask_id(), "cancelled");
+                    Mono<ResponseResult<?>> cancelOp = cancelRemoteTask(task.getTask_id())
+                            .onErrorResume(e -> {
+                                log.error("取消任务 {} 失败: {}", task.getTask_id(), e.getMessage());
+                                return Mono.just(ResponseResult.error("取消任务失败: " + e.getMessage()));
+                            });
+
+                    return Mono.zip(cancelOp, updateStatus)
+                            .thenReturn(true);
+                }, 10)
+                .collectList()
+                .flatMap(canceledTasks -> {
+                    return updateKeywordAndOrderStatus(keywordId)
+                            .thenReturn(ResponseResult.success(
+                                    new TaskCancelResponse(
+                                            String.format("任务已取消: 主队列移除%d, 批次队列移除%d, 远程取消%d",
+                                                    removedMainQueueCount ,
+                                                    removedBatchQueue,
+                                                    tasksToCancelRemotely.size())
+                                    )
+                            ));
                 });
     }
 
-    @PostMapping("/cancel/{taskId}")
-    @ApiOperation(value = "取消任务")
-    public Mono<ResponseResult<TaskCancelResponse>> cancelTask(@PathVariable String taskId) {
+    // 新增方法:移除批次队列
+    private int removeBatchTasksByKeywordId(Integer keywordId) {
+        Queue<List<UserDto>> batchQueue = batchQueues.remove(keywordId);
+        if (batchQueue != null) {
+            int count = batchQueue.size();
+            batchQueue.clear();
+            log.info("从批次队列中移除关键词 {} 的 {} 个批次任务", keywordId, count);
+            return count;
+        }
+        return 0;
+    }
+    // 辅助方法:获取待取消任务
+    private List<KeywordTask> getTasksToCancel(Integer keywordId) {
+        return keywordTaskService.list(
+                new LambdaQueryWrapper<KeywordTask>()
+                        .eq(KeywordTask::getKeyword_id, keywordId)
+                        .isNotNull(KeywordTask::getTask_id)
+                        .eq(KeywordTask::getStatus, "pending")
+        );
+    }
+
+    // 提取关键词和订单状态更新的逻辑为单独方法
+    private Mono<Void> updateKeywordAndOrderStatus(Integer keywordId) {
+        return Mono.fromRunnable(() -> {
+            try {
+                // 查询关键词
+                Keyword keyword = keywordService.getById(keywordId);
+                if (keyword == null) {
+                    log.warn("未找到关键词,keywordId: {}", keywordId);
+                    return;
+                }
+
+                //把任务id为空的删除
+                LambdaUpdateWrapper<KeywordTask> updateWrapper = new LambdaUpdateWrapper<>();
+                updateWrapper.eq(KeywordTask::getKeyword_id, keywordId);
+                updateWrapper.isNull(KeywordTask::getTask_id);
+                keywordTaskService.remove(updateWrapper);
+                // 查询该关键词下的所有任务
+                LambdaQueryWrapper<KeywordTask> keywordTaskWrapper = new LambdaQueryWrapper<>();
+                keywordTaskWrapper.eq(KeywordTask::getKeyword_id, keywordId);
+
+                List<KeywordTask> keywordTasks = keywordTaskService.list(keywordTaskWrapper);
+
+                // 更新关键词状态
+                keyword.setStatus("completed");
+                keywordService.updateById(keyword);
+
+                //更新提问词状态为取消
+                questionService.update(new LambdaUpdateWrapper<Question>().eq(Question::getKeyword_id, keywordId).isNull(Question::getResponse).set(Question::getStatus, "cancelled").set(Question::getError, "任务已取消"));
+//        将所有提问词设置eroor为已取消
+//                questionService.update(new LambdaUpdateWrapper<Question>().eq(Question::getKeyword_id, keywordId).set(Question::getStatus, "failed").set(Question::getError, "任务已取消"));
+
+                // 更新订单状态
+                String orderId = keyword.getOrder_id();
+                if (orderId != null && !orderId.isEmpty()) {
+                    // 查询订单下所有关键词
+                    LambdaQueryWrapper<Keyword> orderKeywordsWrapper = new LambdaQueryWrapper<>();
+                    orderKeywordsWrapper.eq(Keyword::getOrder_id, orderId);
+                    List<Keyword> orderKeywords = keywordService.list(orderKeywordsWrapper);
+
+                    // 所有关键词均已完成,则更新订单状态为3
+                    if (!orderKeywords.isEmpty() && orderKeywords.stream().allMatch(k ->
+                            "completed".equals(k.getStatus()) || "false".equals(k.getStatus())
+                    )) {
+                        Orders orders = orderService.getById(orderId);
+                        if (orders != null) {
+                            orders.setStatus(3);
+                            orderService.updateById(orders);
+                            log.info("订单 {} 所有关键词已完成,更新状态为3", orderId);
+                        }
+                    }
+                    if (!orderKeywords.isEmpty() && orderKeywords.stream().allMatch(k ->
+                            !"completed".equals(k.getStatus()) || "false".equals(k.getStatus()) || "cancelled".equals(k.getStatus())
+                    )) {
+                        Orders orders = orderService.getById(orderId);
+                        if (orders != null) {
+                            orders.setStatus(1);
+                            orderService.updateById(orders);
+                            log.info("订单 {} 所有关键词已完成或者取消,更新状态为1", orderId);
+                        }
+                    }
+                }
+            } catch (Exception e) {
+                log.error("更新关键词和订单状态失败: {}", e.getMessage(), e);
+            }
+        });
+    }
+private List<SearchTaskRequest> removeTasksFromQueueByKeywordId(Integer keywordId) {
+    List<SearchTaskRequest> removedTasks = new ArrayList<>();
+
+        Iterator<SearchTaskRequest> iterator = taskQueue.iterator();
+        while (iterator.hasNext()) {
+            SearchTaskRequest task = iterator.next();
+            if (task.getKeyword_id() != null && task.getKeyword_id().equals(keywordId)) {
+                removedTasks.add(task);
+                iterator.remove();
+            }
+        }
+
+
+    log.info("从队列中移除了 {} 个与关键词ID {} 相关的任务", removedTasks.size(), keywordId);
+    return removedTasks;
+}
+
+// 发送远程取消请求
+    private Mono<ResponseResult<?>> cancelRemoteTask(String taskId) {
+        // 使用Collections.singletonMap或手动创建Map
+        Map<String, Object> requestBody = new HashMap<>();
+        requestBody.put("status", "pending");
+
         return webClient.post()
                 .uri(baseUrl + "/api/v1/tasks/" + taskId + "/cancel")
                 .contentType(MediaType.APPLICATION_JSON)
-                .bodyValue(Collections.emptyMap()) // 添加空请求体
+                .bodyValue(requestBody)
                 .retrieve()
-                .onStatus(HttpStatus::isError, response -> response.bodyToMono(TaskCancelResponse.class)
-                        .flatMap(errorBody -> Mono.error(new RuntimeException(errorBody.getDetail()))))
-                .bodyToMono(TaskCancelResponse.class)
-                .map(data -> ResponseResult.success(data))
-                .onErrorResume(e -> {
-                    if (e.getMessage().contains("任务不存在")) {
-                        return Mono.just(ResponseResult.error(200, "任务不存在"));
-                    } else if (e.getMessage().contains("无法取消")) {
-                        return Mono.just(ResponseResult.error(200, "任务已完成,无法取消"));
-                    }
-                    return Mono.just(ResponseResult.error(500, "取消任务失败: " + e.getMessage()));
-                });
+                .onStatus(HttpStatus::isError, response -> response.bodyToMono(String.class)
+                        .flatMap(errorBody -> Mono.error(new RuntimeException("取消失败: " + errorBody))))
+                .bodyToMono(Void.class)
+                .thenReturn(ResponseResult.success("任务已取消"));
     }
 
+    // 更新单个任务状态
+    private Mono<Void> updateTaskStatus(String taskId, String status) {
+        return Mono.fromRunnable(() -> {
+            LambdaUpdateWrapper<KeywordTask> updateWrapper = new LambdaUpdateWrapper<>();
+            updateWrapper.eq(KeywordTask::getTask_id, taskId);
+            updateWrapper.set(KeywordTask::getStatus, status);
+            keywordTaskService.update(updateWrapper);
+        }).subscribeOn(Schedulers.boundedElastic()).then();
+    }
     @ApiOperation(value = "获取任务结果")
     @GetMapping("/tasks/{taskId}")
     public Mono<TaskResultResponse> getTaskResult(@PathVariable String taskId) {
-        return webClient.get()
+        WebClient webClient2 = WebClient.builder()
+                .exchangeStrategies(ExchangeStrategies.builder()
+                        .codecs(configurer -> configurer.defaultCodecs()
+                                .maxInMemorySize(10 * 1024 * 1024)) // 10MB
+                        .build())
+                .build();
+        return webClient2.get()
                 .uri(baseUrl + "/api/v1/tasks/" + taskId + "/result")
                 .accept(MediaType.APPLICATION_JSON)
                 .retrieve()
@@ -412,6 +577,7 @@
                 .bodyToMono(TaskResultResponse.class)
                 .flatMap(responseResult -> {
                     TaskResultResponse result = responseResult;
+
                     if (result != null && result.getResults() != null) {
                         return updateQuestionAndReference(result)
                                 .thenReturn(responseResult);
@@ -420,268 +586,776 @@
                 })
                 .onErrorResume(e -> {
                     System.out.println("获取任务结果失败");
-                    TaskResultResponse result = new TaskResultResponse();
+                    log.error("获取任务结果失败: {}", e.getMessage(), e);
+                        TaskResultResponse result = new TaskResultResponse();
                     result.setDetail("获取任务结果失败: " + e.getMessage());
                     return Mono.just(result);
                 });
     }
 
+    /**
+     * 获取或创建平台(确保同一domain只创建一次)
+     * @param domain 平台域名
+     * @return 已存在或新创建的Platform
+     */
+    private Platform getOrCreatePlatform(String domain,String platformName) {
+        // 1. 先尝试查询已存在的平台
+
+        Platform platform = platformService.getPlatformByDomain(domain);
+        if (platform != null) {
+            return platform;
+        }
+
+        // 2. 若不存在,尝试创建(处理并发场景)
+        try {
+            // 2.1 获取或创建“默认”类型(Type也需避免重复,建议Type表的type_name也加唯一约束)
+            Type defaultType = typeService.getOne(new LambdaQueryWrapper<Type>()
+                    .eq(Type::getType_name, "默认"));
+            if (defaultType == null) {
+                defaultType = new Type();
+                defaultType.setType_name("默认");
+                typeService.save(defaultType); // 若Type可能重复,此处也需处理DuplicateKeyException
+            }
+
+            // 2.2 构建新平台对象
+            Platform newPlatform = new Platform();
+            newPlatform.setDomain(domain);
+            if (platformName != null) {
+                newPlatform.setPlatform_name(platformName);
+            }else {
+                newPlatform.setPlatform_name(domain);
+            }
+        // 平台名称默认使用域名,可根据实际需求调整
+            newPlatform.setType_id(defaultType.getType_id());
+            newPlatform.setCreate_time(LocalDateTime.now()); // 补充创建时间
+
+            // 2.3 尝试保存,若因唯一约束冲突失败,则捕获异常
+            platformService.save(newPlatform);
+            return newPlatform; // 保存成功,返回新创建的平台
+
+        } catch (DuplicateKeyException e) {
+            // 3. 若捕获到重复键异常,说明并发创建了,重新查询即可(此时数据库中已存在该平台)
+            log.warn("平台domain={}已存在,无需重复创建", domain, e);
+            return platformService.getPlatformByDomain(domain); // 重新查询,一定能获取到
+        } catch (Exception e) {
+            // 处理其他异常(如数据库连接失败等)
+            log.error("创建平台失败,domain={}", domain, e);
+            throw new RuntimeException("创建平台失败", e);
+        }
+    }
+    //更新提问词和引用数据
 //    private Mono<Void> updateQuestionAndReference(TaskResultResponse result) {
 //        return Mono.fromRunnable(() -> {
-//            // 1. 更新关键词状态
-//            LambdaUpdateWrapper<Keyword> keywordUpdate = new LambdaUpdateWrapper<>();
-//            keywordUpdate.eq(Keyword::getTask_id, result.getTask_id())
-//                    .set(Keyword::getStatus, "completed");
-//            keywordService.update(keywordUpdate);
+//            try {
+//                //查看每个账号信息的status是否正常
 //
-//            // 查询关键词ID
-//            LambdaQueryWrapper<Keyword> keywordQuery = new LambdaQueryWrapper<>();
-//            keywordQuery.eq(Keyword::getTask_id, result.getTask_id());
-//            Keyword keyword = keywordService.getOne(keywordQuery);
+//                // 1. 根据KeywordTask更新关键词状态
+//                // 查询关键词ID
+//                LambdaQueryWrapper<KeywordTask> keywordTaskWrapper = new LambdaQueryWrapper<>();
+//                keywordTaskWrapper.eq(KeywordTask::getTask_id, result.getTask_id());
+//                KeywordTask keywordTask = keywordTaskService.getOne(keywordTaskWrapper);
+//                keywordTask.setStatus("completed");
+//                keywordTaskService.updateById(keywordTask);
+//                Keyword keyword = keywordService.getById(keywordTask.getKeyword_id());
 //
-//            if (keyword == null) {
-//                System.out.println("未找到关联的关键词,task_id: " + result.getTask_id());
-//                return;
-//            }
+//                if (keyword == null) {
+//                    System.out.println("未找到关联的关键词,task_id: " + result.getTask_id());
+//                    //报错
+//                    throw new Exception("未找到关联的关键词,task_id: " + result.getTask_id());
 //
-//            // 2. 处理每个用户的问题结果
-//            for (UserResult userResult : result.getResults()) {
-//                for (QuestionResult questionResult : userResult.getQuestions_results()) {
-//                    // 2.1 查询问题ID
-//                    LambdaQueryWrapper<Question> queryWrapper = new LambdaQueryWrapper<>();
-//                    queryWrapper.eq(Question::getQuestion, questionResult.getQuestion())
-//                            .eq(Question::getKeyword_id, keyword.getKeyword_id());
-//                    Question question = questionService.getOne(queryWrapper);
+//                }
+//                LambdaQueryWrapper<KeywordTask> keywordTaskWrapper2 = new LambdaQueryWrapper<>();
+//                keywordTaskWrapper2.eq(KeywordTask::getKeyword_id, keyword.getKeyword_id());
+//                List<KeywordTask> keywordTasks = keywordTaskService.list(keywordTaskWrapper2);
 //
-//                    if (question != null) {
-//                        // 更新问题状态
-//                        LambdaUpdateWrapper<Question> updateWrapper = new LambdaUpdateWrapper<>();
-//                        updateWrapper.eq(Question::getQuestion_id, question.getQuestion_id())
-//                                .set(Question::getStatus, questionResult.getStatus())
-//                                .set(Question::getResponse, questionResult.getResponse())
-//                                .set(Question::getExtracted_count, questionResult.getExtracted_count())
-//                                .set(Question::getError, questionResult.getError())
-//                                .set(Question::getTimestamp, LocalDateTime.parse(
-//                                        questionResult.getTimestamp(),
-//                                        DateTimeFormatter.ofPattern("yyyy-MM-dd'T'HH:mm:ss.SSSSSS")
-//                                ));
-//                        questionService.update(updateWrapper);
+//                //如果全部为completed 或者错误、取消、任务不存在 关键词也为completed  ,如果关联关系没有任务id,或者状态为running  ,关键词为submitted,
+//                if (keywordTasks.stream().allMatch(task -> "completed".equals(task.getStatus()) || "false".equals(task.getStatus()) || "cancelled".equals(task.getStatus()) ||"canceled".equals(task.getStatus()) || "nonentity".equals(task.getStatus())) ) {
+//                    keyword.setStatus("completed");
+//                    keywordService.updateById(keyword);
 //
-//                        // 2.2 保存引用数据
-//                        List<Reference> references = questionResult.getReferences().stream()
-//                                .map(ref -> {
+//                }
+//
+//                    String orderId = keyword.getOrder_id();
+//                    if (orderId == null || orderId.isEmpty()) {
+//                        System.out.println("关键词[" + keyword.getKeyword_id() + "]未关联订单,跳过订单状态更新");
+//                        return;
+//                    }
+//
+//                    // 2.更新订单状态为待处理 查询该订单下的所有关键词,更新订单状态(有取消)
+//                    LambdaQueryWrapper<Keyword> orderKeywordsWrapper = new LambdaQueryWrapper<>();
+//                    orderKeywordsWrapper.eq(Keyword::getOrder_id, orderId);
+//                    List<Keyword> orderKeywords = keywordService.list(orderKeywordsWrapper);
+//
+//                    if (orderKeywords.isEmpty()) {
+//                        System.out.println("订单[" + orderId + "]下无关键词,跳过状态更新");
+//                        return;
+//                    }
+//                    boolean  allValid2 = orderKeywords.stream()
+//                            .allMatch(k -> "completed".equals(k.getStatus()) || "false".equals(k.getStatus()) || "cancelled".equals(k.getStatus()));
+//                    if (allValid2) {
+//                        Orders orders = orderService.getById(orderId);
+//                        if (orders != null) {
+//                            orders.setStatus(1); // 假设Orders有Integer类型的status字段
+//                            orderService.updateById(orders);
+//                            System.out.println("订单[" + orderId + "]所有关键词采集完成或者取消,已更新状态为1");
+//                        } else {
+//                            System.out.println("未找到订单[" + orderId + "],无法更新状态");
+//                        }
+//                    }
+//                    // 3.更新订单状态为完成 检查所有关键词的状态是否均为 completed 或 false
+//                    boolean allValid = orderKeywords.stream()
+//                            .allMatch(k -> "completed".equals(k.getStatus()) || "false".equals(k.getStatus()));
+//
+//                    // 4. 若所有关键词状态均有效,更新订单状态为3
+//                    if (allValid) {
+//                        Orders orders = orderService.getById(orderId);
+//                        if (orders != null) {
+//                            orders.setStatus(3); // 假设Orders有Integer类型的status字段
+//                            orderService.updateById(orders);
+//                            System.out.println("订单[" + orderId + "]所有关键词状态符合条件,已更新状态为3");
+//                        } else {
+//                            System.out.println("未找到订单[" + orderId + "],无法更新状态");
+//                        }
+//                    }
+//
+//
+//                Orders orders = orderService.getById(keyword.getOrder_id());
+//
+//                // 2. 批量查询所有问题
+//                LambdaQueryWrapper<Question> queryWrapper = new LambdaQueryWrapper<>();
+//                queryWrapper.eq(Question::getKeyword_id, keyword.getKeyword_id());
+//                List<Question> questions = questionService.list(queryWrapper);
+//
+//                // 构建问题映射表,用于快速查找
+//                Map<String, Question> questionMap = questions.stream()
+//                        .collect(Collectors.toMap(Question::getQuestion, q -> q));
+//
+//                // 3. 收集所有需要更新的问题和引用
+//                List<Question> questionsToUpdate = new ArrayList<>();
+//                List<Reference> allReferences = new ArrayList<>();
+//                List<Reference> resultList = new ArrayList<>();
+//
+//                // 遍历账号
+//                for (UserResult userResult : result.getResults()) {
+//                    //更新账号状态
+//                    if ( "failed".equals(userResult.getStatus())){
+//                        if (userResult.getError().contains("登录失败")){
+//                            LambdaUpdateWrapper<User> userWrapper =  new LambdaUpdateWrapper<>();
+//                            userWrapper.eq(User::getUser_email, userResult.getUser_email());
+//                            userWrapper.set(User::getStatus, "无法登录");
+//                            userService.update(userWrapper);
+//                            //更新所有提问词的状态
+//                            questionService.update(new LambdaUpdateWrapper<Question>().eq(Question::getKeyword_id, keyword.getKeyword_id())
+//                                    .set(Question::getStatus, "failed")
+//                                    .set(Question::getError, "账户登录失败"));
+//
+//                        }else if (userResult.getError().contains("信息错误")){
+//                            LambdaUpdateWrapper<User> userWrapper =  new LambdaUpdateWrapper<>();
+//                            userWrapper.eq(User::getUser_email, userResult.getUser_email());
+//                            userWrapper.set(User::getStatus, "信息错误");
+//                            userService.update(userWrapper);
+//                        }
+//                    }
+//                    for (QuestionResult questionResult : userResult.getQuestions_results()) {
+//                        try {
+//                            Question question = questionMap.get(questionResult.getQuestion());
+//                            if (question != null) {
+//
+//
+//                                //保存问题结果
+//                                QuestionResultList questionResultList = new QuestionResultList();
+//                                questionResultList.setKeyword_id(keyword.getKeyword_id());
+//                                questionResultList.setQuestion(questionResult.getQuestion());
+//                                questionResultList.setResponse(questionResult.getResponse());
+//                                questionResultList.setStatus(questionResult.getStatus());
+//                                questionResultList.setExtracted_count(questionResult.getExtracted_count());
+//                                questionResultList.setKeyword_task_id(result.getTask_id());
+//                                questionResultList.setError(questionResult.getError());
+//                                questionResultList.setNum(keyword.getNum());
+//                                if (questionResult.getTimestamp() != null) {
+//                                    DateTimeFormatter formatter = DateTimeFormatter
+//                                            .ofPattern("yyyy-MM-dd'T'HH:mm:ss.SSSSSS");
+//                                    questionResultList.setTimestamp(
+//                                            LocalDateTime.parse(questionResult.getTimestamp(), formatter));
+//                                }
+//                                // 保存问题结果列表(新增保存逻辑)
+//                                questionResultService.save(questionResultList);
+//                                // 查询当前轮次下该提问词的所有结果
+//                                List<QuestionResultList> allResults = questionResultService.list(
+//                                        new LambdaQueryWrapper<QuestionResultList>()
+//                                                .eq(QuestionResultList::getKeyword_id, keyword.getKeyword_id())
+//                                                .eq(QuestionResultList::getQuestion, question.getQuestion())
+//                                                .eq(QuestionResultList::getNum, keyword.getNum())
+//                                );
+//
+//                                // 判断最终状态
+//                                String finalStatus = determineFinalStatus(allResults);
+//                                if ("success".equals(finalStatus)){
+//                                    question.setStatus("success");
+//                                    question.setError("");
+//                                }else if ("no_results".equals(finalStatus)){
+//                                    question.setStatus("success");
+//                                    question.setError("采集结果无引用数据");
+//                                }else if ("busyness".equals(finalStatus)){
+//                                    question.setStatus("failed");
+//                                    question.setError("DeepSeek繁忙,请稍后尝试");
+//                                }
+//
+//                                // 更新问题对象
+//                                question.setResponse(questionResult.getResponse());
+//                                question.setExtracted_count(questionResult.getExtracted_count());
+////                                question.setError(questionResult.getError());
+//                                question.setKeyword_id(keyword.getKeyword_id());
+//
+//                                if (questionResult.getTimestamp() != null) {
+//                                    DateTimeFormatter formatter = DateTimeFormatter
+//                                            .ofPattern("yyyy-MM-dd'T'HH:mm:ss.SSSSSS");
+//                                    question.setTimestamp(
+//                                            LocalDateTime.parse(questionResult.getTimestamp(), formatter));
+//                                }
+//
+//                                questionsToUpdate.add(question);
+//                                // 初始化引用列表(避免null)
+//                                List<Reference> references = new ArrayList<>();
+//                                List<TaskResultResponse.Reference> originalReferences = questionResult.getReferences();
+//                                if (originalReferences == null) {
+//                                    originalReferences = Collections.emptyList();
+//                                }
+//
+//                                // 遍历原始引用列表,转换为Reference对象
+//                                for (TaskResultResponse.Reference ref : originalReferences) {
 //                                    Reference reference = new Reference();
+//                                    // 设置基本字段
 //                                    reference.setQuestion_id(question.getQuestion_id());
 //                                    reference.setTitle(ref.getTitle());
 //                                    reference.setUrl(ref.getUrl());
 //                                    reference.setDomain(ref.getDomain());
-//                                    reference.setCreate_time(LocalDateTime.now());
-//                                    return reference;
-//                                })
-//                                .collect(Collectors.toList());
+//                                    reference.setNum(keyword.getNum());
+//                                    reference.setTask_id(result.getTask_id());
+//                                    reference.setKeyword_id(keyword.getKeyword_id());
+//                                    if (null!=ref.getPublish_time()) {
+//                                        reference.setCreate_time(ref.getPublish_time().atStartOfDay());
+//                                    }
 //
-//                        if (!references.isEmpty()) {
-//                            referenceService.saveBatch(references);
+//                                    // 关键:使用优化后的方法获取平台,避免重复创建
+//                                    Platform platform = getOrCreatePlatform(ref.getDomain(),ref.getPlatform_name());
+//                                    reference.setPlatform_id(platform.getPlatform_id());
+//                                    reference.setType_id(platform.getType_id()); // 直接从平台获取类型ID,更可靠
+//                                    // 添加到结果列表
+//                                    references.add(reference);
+//                                }
+//                                // 添加到总引用列表
+//                                if (!references.isEmpty()) {
+//                                    allReferences.addAll(references);
+//                                }
+//
+//                                //取数据库中当前关键词的当前轮次的当前问题id结果拿出来
+//                                List<Reference> dbList = referenceService.list(new LambdaQueryWrapper<Reference>().eq(Reference::getKeyword_id, keyword.getKeyword_id())
+//                                        .eq(Reference::getNum, keyword.getNum())
+//                                        .eq(Reference::getQuestion_id, question.getQuestion_id())
+//                                );
+//
+//                                // 1. 合并两个列表
+//                                List<Reference> combinedList = new ArrayList<>();
+//                                combinedList.addAll(allReferences);
+//                                combinedList.addAll(dbList);
+//
+//                                // 2. 创建复合键的Map,用于统计完全匹配的记录
+//                                Map<String, List<Reference>> compositeKeyMap = combinedList.stream()
+//                                        .collect(Collectors.groupingBy(
+//                                                ref -> ref.getTitle() + "|" + ref.getUrl() + "|" + ref.getDomain()
+//                                        ));
+//
+//                                // 3. 处理每组重复记录
+//                                compositeKeyMap.forEach((key, refGroup) -> {
+//                                    // 3.1 找出组内有ID的记录(优先从dbList中获取)
+//                                    Optional<Reference> existingRecord = refGroup.stream()
+//                                            .filter(ref -> ref.getReference_id() != null)
+//                                            .findFirst();
+//
+//                                    // 3.2 统计该组的重复次数(总数-1)
+//                                    int repetitionCount = refGroup.size() - 1;
+//
+//                                    // 3.3 决定最终保留的记录
+//                                    Reference recordToSave = new Reference();
+//                                    if (existingRecord.isPresent()) {
+//                                        // 使用已有ID的记录并更新重复次数
+//                                        recordToSave = existingRecord.get();
+//                                        recordToSave.setRepetition_num(
+//                                                (recordToSave.getRepetition_num() == null ? 1 : recordToSave.getRepetition_num())
+//                                                        + repetitionCount
+//                                        );
+//                                    } else {
+//                                        // 没有ID记录则取第一条并设置重复次数
+//                                        recordToSave = refGroup.get(0);
+//                                        recordToSave.setRepetition_num(1+repetitionCount);
+//                                    }
+//
+//                                    resultList.add(recordToSave);
+//                                });
+//                                referenceService.saveOrUpdateBatch(resultList);
+//                            }
+//                        } catch (Exception e) {
+//                            log.error(e.getMessage(), e);
+//                            System.out.println("处理问题结果失败: " + e.getMessage());
 //                        }
-//                    } else {
-//                        System.out.println("未找到匹配的问题,question " + question.getQuestion());
-//
 //                    }
+//
+//
 //                }
+//
+//                // 4. 批量更新问题
+//                System.out.println(questionsToUpdate);
+//                if (!questionsToUpdate.isEmpty()) {
+//                    questionService.updateBatchById(questionsToUpdate);
+//                    System.out.println("成功批量更新 " + questionsToUpdate.size() + " 个问题");
+//                }
+//
+//            } catch (Exception e) {
+//                log.error("更新问题和引用数据失败: " ,e.getMessage(), e);
+//                throw new RuntimeException("更新问题和引用数据失败", e);
 //            }
 //        });
 //    }
+//    // 根据所有批次的结果判断最终状态
+//    private String determineFinalStatus(List<QuestionResultList> results) {
+//        if (results.isEmpty()) {
+//            return "no_results"; // 无结果
+//        }
+//
+//        // 统计关键指标
+//        int totalCount = results.size();
+//        int emptyResponseCount = 0;
+//        int systemBusyCount = 0;
+//
+//        for (QuestionResultList result : results) {
+//            // 判断回答是否为空
+//            if (result.getExtracted_count() == 0 ) {
+//                emptyResponseCount++;
+//            }
+//
+//            // 判断是否为系统繁忙
+//            if ("success".equals(result.getStatus())  && (result.getResponse().isEmpty()|| result.getResponse().contains("WebDriver连接中断") || result.getResponse().contains("响应超时"))) {
+//                systemBusyCount++;
+//            }
+//
+//        }
+//
+//        // 全返回系统繁忙
+//        if (systemBusyCount == totalCount) {
+//            return "busyness";
+//        }
+//        // 全返回信息为空
+//        if (emptyResponseCount == totalCount) {
+//            return "no_results";
+//        }
+//
+//
+//        // 系统繁忙比例超过阈值(可配置,这里设为70%)
+////        double busyRate = (double) systemBusyCount / totalCount;
+////        if (busyRate >= 0.7) {
+////            return "系统繁忙,请稍后尝试";
+////        }
+//
+//        // 其他情况返回成功
+//        return "success";
+//    }
 
     private Mono<Void> updateQuestionAndReference(TaskResultResponse result) {
-        return Mono.fromRunnable(() -> {
-            try {
-                // 1. 根据KeywordTask更新关键词状态
-                // 查询关键词ID
-                LambdaQueryWrapper<KeywordTask> keywordTaskWrapper = new LambdaQueryWrapper<>();
-                keywordTaskWrapper.eq(KeywordTask::getTask_id, result.getTask_id());
-                KeywordTask keywordTask = keywordTaskService.getOne(keywordTaskWrapper);
+        return Mono.fromRunnable(() -> doUpdateQuestionAndReference(result))
+                .onErrorResume(e -> {
+                    log.error("处理任务结果失败", e);
+                    return Mono.error(e); // 传播异常,触发事务回滚
+                }).then();
+    }
 
-                Keyword keyword = keywordService.getById(keywordTask.getKeyword_id());
-
-                if (keyword == null) {
-                    System.out.println("未找到关联的关键词,task_id: " + result.getTask_id());
-                    //报错
-                    throw new Exception("未找到关联的关键词,task_id: " + result.getTask_id());
-//                    return;
-                }
-                keyword.setStatus("completed");
-                keywordService.updateById(keyword);
-
-                // 2. 批量查询所有问题
-                LambdaQueryWrapper<Question> queryWrapper = new LambdaQueryWrapper<>();
-                queryWrapper.eq(Question::getKeyword_id, keyword.getKeyword_id());
-                List<Question> questions = questionService.list(queryWrapper);
-
-                // 构建问题映射表,用于快速查找
-                Map<String, Question> questionMap = questions.stream()
-                        .collect(Collectors.toMap(Question::getQuestion, q -> q));
-
-                // 3. 收集所有需要更新的问题和引用
-                List<Question> questionsToUpdate = new ArrayList<>();
-                List<Reference> allReferences = new ArrayList<>();
-                List<Reference> resultList = new ArrayList<>();
-                // 遍历结果
-                for (UserResult userResult : result.getResults()) {
-                    for (QuestionResult questionResult : userResult.getQuestions_results()) {
-                        try {
-                            Question question = questionMap.get(questionResult.getQuestion());
-                            if (question != null) {
-                                // 更新问题对象
-                                question.setStatus(questionResult.getStatus());
-                                question.setResponse(questionResult.getResponse());
-                                question.setExtracted_count(questionResult.getExtracted_count());
-                                question.setError(questionResult.getError());
-                                question.setKeyword_id(keyword.getKeyword_id());
-
-                                // 解析时间戳
-                                if (questionResult.getTimestamp() != null) {
-                                    DateTimeFormatter formatter = DateTimeFormatter
-                                            .ofPattern("yyyy-MM-dd'T'HH:mm:ss.SSSSSS");
-                                    question.setTimestamp(
-                                            LocalDateTime.parse(questionResult.getTimestamp(), formatter));
-                                }
-                                //更新
-//                                questionService.updateById(question);
-
-                                questionsToUpdate.add(question);
-
-                                List<Reference> references =
-                                        Optional.ofNullable(questionResult.getReferences())
-                                                .orElse(Collections.emptyList())
-                                                .stream()
-                                                .map(ref -> {
-                                                    Reference reference = new Reference();
-                                                    reference.setQuestion_id(question.getQuestion_id());
-                                                    reference.setTitle(ref.getTitle());
-                                                    reference.setUrl(ref.getUrl());
-                                                    reference.setDomain(ref.getDomain());
-                                                    reference.setNum(keyword.getNum());
-                                                    reference.setTask_id(result.getTask_id());
-                                                    reference.setKeyword_id(keyword.getKeyword_id());
-                                                    //域名和平台id映射
-                                                    reference.setCreate_time(LocalDateTime.now());
-                                                    Platform platform = platformService.getPlatformByDomain(reference.getDomain());
-                                                    if (platform == null) {
-                                                        //平台为空 创建平台 类型为“默认”
-                                                        Type type = typeService.getOne(new LambdaQueryWrapper<Type>().eq(Type::getType_name,"默认"));
-                                                        if (type == null) {
-                                                            Type newType = new Type();
-                                                            newType.setType_name("默认");
-                                                            typeService.save(newType);
-                                                            type = newType;
-                                                        }
-                                                        Platform platform1 = new Platform();
-                                                        platform1.setDomain(reference.getDomain());
-                                                        platform1.setPlatform_name(reference.getDomain());
-                                                        platform1.setType_id(type.getType_id());
-                                                        platformService.save(platform1);
-
-                                                        reference.setType_id(type.getType_id());
-                                                        reference.setPlatform_id(platform1.getPlatform_id());
-
-                                                    }
-                                                    else {
-                                                        reference.setPlatform_id(platform.getPlatform_id());
-                                                        Type type = typeService.getById(platform.getType_id());
-                                                        if (type != null){
-                                                            reference.setType_id(type.getType_id());
-                                                        }
-                                                    }
-                                                    return reference;
-                                                })
-                                                .collect(Collectors.toList());
-
-                                // 添加到总引用列表
-                                if (!references.isEmpty()) {
-                                    allReferences.addAll(references);
-                                }
-
-                                //取数据库中当前关键词的当前轮次的当前问题id结果拿出来
-                                List<Reference> dbList = referenceService.list(new LambdaQueryWrapper<Reference>().eq(Reference::getKeyword_id, keyword.getKeyword_id())
-                                        .eq(Reference::getNum, keyword.getNum())
-                                        .eq(Reference::getQuestion_id, question.getQuestion_id())
-                                );
-
-                                // 1. 合并两个列表
-                                List<Reference> combinedList = new ArrayList<>();
-                                combinedList.addAll(allReferences);
-                                combinedList.addAll(dbList);
-
-                                // 2. 创建复合键的Map,用于统计完全匹配的记录
-                                Map<String, List<Reference>> compositeKeyMap = combinedList.stream()
-                                        .collect(Collectors.groupingBy(
-                                                ref -> ref.getTitle() + "|" + ref.getUrl() + "|" + ref.getDomain()
-                                        ));
-
-                                // 3. 处理每组重复记录
-
-                                compositeKeyMap.forEach((key, refGroup) -> {
-                                    // 3.1 找出组内有ID的记录(优先从dbList中获取)
-                                    Optional<Reference> existingRecord = refGroup.stream()
-                                            .filter(ref -> ref.getReference_id() != null)
-                                            .findFirst();
-
-                                    // 3.2 统计该组的重复次数(总数-1)
-                                    int repetitionCount = refGroup.size() - 1;
-
-                                    // 3.3 决定最终保留的记录
-                                    Reference recordToSave;
-                                    if (existingRecord.isPresent()) {
-                                        // 使用已有ID的记录并更新重复次数
-                                        recordToSave = existingRecord.get();
-                                        recordToSave.setRepetition_num(
-                                                (recordToSave.getRepetition_num() == null ? 0 : recordToSave.getRepetition_num())
-                                                        + repetitionCount
-                                        );
-                                    } else {
-                                        // 没有ID记录则取第一条并设置重复次数
-                                        recordToSave = refGroup.get(0);
-                                        recordToSave.setRepetition_num(repetitionCount);
-                                    }
-
-                                    resultList.add(recordToSave);
-                                });
-                                referenceService.saveOrUpdateBatch(resultList);
-                            }
-                        } catch (Exception e) {
-                            log.error(e.getMessage(), e);
-                            System.out.println("处理问题结果失败: " + e.getMessage());
-                        }
-                    }
-                }
-
-                // 4. 批量更新问题
-                System.out.println(questionsToUpdate);
-                if (!questionsToUpdate.isEmpty()) {
-                    questionService.updateBatchById(questionsToUpdate);
-                    System.out.println("成功批量更新 " + questionsToUpdate.size() + " 个问题");
-                }
-
-                // 5. 批量插入引用,使用流式分批处理
-//                if (!allReferences.isEmpty()) {
-//                    int batchSize = 1000;
-//                    IntStream.iterate(0, i -> i + batchSize)
-//                            .limit((allReferences.size() + batchSize - 1) / batchSize)
-//                            .forEach(i -> {
-//                                List<Reference> batch = allReferences.subList(
-//                                        i, Math.min(i + batchSize, allReferences.size()));
-//                                referenceService.saveBatch(batch);
-//                            });
-//                    System.out.println("成功批量插入 " + allReferences.size() + " 条引用数据");
-//                }
-
-
-            } catch (Exception e) {
-                log.error("更新问题和引用数据失败: " ,e.getMessage(), e);
-//                System.out.println("更新问题和引用数据失败: " + e.getMessage());
-                throw new RuntimeException("更新问题和引用数据失败", e);
+    // 核心业务逻辑,添加事务注解保证原子性
+    @Transactional(rollbackFor = Exception.class)
+    public void doUpdateQuestionAndReference(TaskResultResponse result) {
+        try {
+            // 1. 查询关键词任务并更新状态
+            LambdaQueryWrapper<KeywordTask> keywordTaskWrapper = new LambdaQueryWrapper<>();
+            keywordTaskWrapper.eq(KeywordTask::getTask_id, result.getTask_id());
+            KeywordTask keywordTask = keywordTaskService.getOne(keywordTaskWrapper);
+            if (keywordTask == null) {
+                throw new Exception("未找到关键词任务,task_id: " + result.getTask_id());
             }
+            keywordTask.setStatus("completed");
+            keywordTaskService.updateById(keywordTask);
+
+            // 2. 查询关键词信息
+            Keyword keyword = keywordService.getById(keywordTask.getKeyword_id());
+            if (keyword == null) {
+                throw new Exception("未找到关联的关键词,task_id: " + result.getTask_id());
+            }
+
+            // 3. 更新关键词状态(基于关联任务状态)
+            updateKeywordStatus(keyword);
+
+            // 4. 更新订单状态(基于关键词状态)
+            updateOrderStatus(keyword);
+
+            // 5. 预查询问题列表(一次查询,内存映射)
+            LambdaQueryWrapper<Question> questionWrapper = new LambdaQueryWrapper<>();
+            questionWrapper.eq(Question::getKeyword_id, keyword.getKeyword_id());
+            List<Question> questions = questionService.list(questionWrapper);
+            Map<String, Question> questionMap = questions.stream()
+                    .collect(Collectors.toMap(Question::getQuestion, q -> q));
+
+            // 6. 收集批量保存的数据(避免循环内保存)
+            List<QuestionResultList> questionResultsToSave = new ArrayList<>(); // 批量保存问题结果
+            List<Reference> allReferences = new ArrayList<>(); // 收集所有引用,后续统一处理
+
+            // 7. 遍历结果处理问题和引用
+            for (UserResult userResult : result.getResults()) {
+                // 7.1 更新用户状态(失败处理)
+                handleUserStatus(userResult, keyword);
+
+                // 7.2 处理问题结果
+                for (QuestionResult questionResult : userResult.getQuestions_results()) {
+                    Question question = questionMap.get(questionResult.getQuestion());
+                    if (question == null) {
+                        log.warn("未找到问题记录: {}", questionResult.getQuestion());
+                        continue;
+                    }
+
+                    // 7.2.1 构建问题结果并加入批量列表
+                    QuestionResultList questionResultList = buildQuestionResultList(questionResult, keyword, result);
+                    questionResultsToSave.add(questionResultList);
+
+                    // 7.2.2 处理引用数据(仅收集,不立即保存)
+                    List<Reference> references = buildReferences(questionResult, question, keyword, result);
+                    allReferences.addAll(references);
+                }
+            }
+
+            // 8. 批量保存问题结果(一次数据库交互)
+            if (!questionResultsToSave.isEmpty()) {
+                questionResultService.saveBatch(questionResultsToSave);
+                log.info("批量保存问题结果 {} 条", questionResultsToSave.size());
+            }
+
+            // 9. 批量处理引用数据(去重+更新重复次数+批量保存)
+            if (!allReferences.isEmpty()) {
+                handleReferencesInBatch(allReferences, keyword);
+            }
+
+            // 10. 批量更新问题状态(基于最终结果)
+            updateQuestionsStatusInBatch(questions, keyword);
+
+        } catch (Exception e) {
+            log.error("更新数据失败", e);
+            throw new RuntimeException("更新数据失败", e); // 触发事务回滚
+        }
+    }
+
+    // 更新关键词状态
+    private void updateKeywordStatus(Keyword keyword) {
+        LambdaQueryWrapper<KeywordTask> taskWrapper = new LambdaQueryWrapper<>();
+        taskWrapper.eq(KeywordTask::getKeyword_id, keyword.getKeyword_id());
+        List<KeywordTask> keywordTasks = keywordTaskService.list(taskWrapper);
+
+        boolean allCompletedOrFailed = keywordTasks.stream()
+                .allMatch(task -> "completed".equals(task.getStatus())
+                        || "false".equals(task.getStatus())
+                        || "cancelled".equals(task.getStatus())
+                        || "canceled".equals(task.getStatus())
+                        || "nonentity".equals(task.getStatus()));
+
+        if (allCompletedOrFailed) {
+            keyword.setStatus("completed");
+            keywordService.updateById(keyword);
+        }
+    }
+
+    // 更新订单状态
+    private void updateOrderStatus(Keyword keyword) {
+        String orderId = keyword.getOrder_id();
+        if (orderId == null || orderId.isEmpty()) {
+            log.info("关键词[{}]未关联订单,跳过订单更新", keyword.getKeyword_id());
+            return;
+        }
+
+        LambdaQueryWrapper<Keyword> orderKeywordsWrapper = new LambdaQueryWrapper<>();
+        orderKeywordsWrapper.eq(Keyword::getOrder_id, orderId);
+        List<Keyword> orderKeywords = keywordService.list(orderKeywordsWrapper);
+        if (orderKeywords.isEmpty()) {
+            log.info("订单[{}]无关键词,跳过状态更新", orderId);
+            return;
+        }
+
+        boolean allValid2 = orderKeywords.stream()
+                .allMatch(k -> "completed".equals(k.getStatus())
+                        || "false".equals(k.getStatus())
+                        || "cancelled".equals(k.getStatus()));
+        if (allValid2) {
+            updateOrderStatus(orderId, 1, "所有关键词采集完成或取消");
+        }
+
+        boolean allValid = orderKeywords.stream()
+                .allMatch(k -> "completed".equals(k.getStatus()) || "false".equals(k.getStatus()));
+        if (allValid) {
+            updateOrderStatus(orderId, 3, "所有关键词状态符合条件");
+        }
+    }
+
+    // 封装订单状态更新
+    private void updateOrderStatus(String orderId, Integer status, String logMsg) {
+        Orders orders = orderService.getById(orderId);
+        if (orders != null) {
+            orders.setStatus(status);
+            orderService.updateById(orders);
+            log.info("订单[{}]{},已更新状态为{}", orderId, logMsg, status);
+        } else {
+            log.warn("未找到订单[{}],无法更新状态", orderId);
+        }
+    }
+
+    // 构建问题结果对象
+    private QuestionResultList buildQuestionResultList(QuestionResult questionResult, Keyword keyword, TaskResultResponse result) {
+        QuestionResultList questionResultList = new QuestionResultList();
+        questionResultList.setKeyword_id(keyword.getKeyword_id());
+        questionResultList.setQuestion(questionResult.getQuestion());
+        questionResultList.setResponse(questionResult.getResponse());
+        questionResultList.setStatus(questionResult.getStatus());
+        questionResultList.setExtracted_count(questionResult.getExtracted_count());
+        questionResultList.setKeyword_task_id(result.getTask_id());
+        questionResultList.setError(questionResult.getError());
+        questionResultList.setNum(keyword.getNum());
+
+        if (questionResult.getTimestamp() != null) {
+            DateTimeFormatter formatter = DateTimeFormatter.ofPattern("yyyy-MM-dd'T'HH:mm:ss.SSSSSS");
+            questionResultList.setTimestamp(LocalDateTime.parse(questionResult.getTimestamp(), formatter));
+        }
+        return questionResultList;
+    }
+
+    // 构建引用数据列表
+    private List<Reference> buildReferences(QuestionResult questionResult, Question question, Keyword keyword, TaskResultResponse result) {
+        List<Reference> references = new ArrayList<>();
+        List<TaskResultResponse.Reference> originalReferences = questionResult.getReferences();
+        if (originalReferences == null) {
+            return references;
+        }
+
+        for (TaskResultResponse.Reference ref : originalReferences) {
+            // 过滤无效引用(标题、URL、域名不能为空)
+            if (ref.getTitle() == null || ref.getUrl() == null || ref.getDomain() == null) {
+                log.warn("引用数据字段缺失,跳过:title={}, url={}, domain={}",
+                        ref.getTitle(), ref.getUrl(), ref.getDomain());
+                continue;
+            }
+
+            Reference reference = new Reference();
+            reference.setQuestion_id(question.getQuestion_id());
+            reference.setTitle(ref.getTitle());
+            reference.setUrl(ref.getUrl());
+            reference.setDomain(ref.getDomain());
+            reference.setNum(keyword.getNum());
+            reference.setTask_id(result.getTask_id());
+            reference.setKeyword_id(keyword.getKeyword_id());
+
+            if (ref.getPublish_time() != null) {
+                reference.setCreate_time(ref.getPublish_time().atStartOfDay());
+            }
+
+            Platform platform = getOrCreatePlatform(ref.getDomain(), ref.getPlatform_name());
+            // 校验平台信息非空
+            if (platform == null || platform.getPlatform_id() == null) {
+                log.warn("平台信息无效,跳过引用:domain={}", ref.getDomain());
+                continue;
+            }
+            reference.setPlatform_id(platform.getPlatform_id());
+            reference.setType_id(platform.getType_id());
+            references.add(reference);
+        }
+        return references;
+    }
+
+    // 批量处理引用数据(去重+更新重复次数)
+    private void handleReferencesInBatch(List<Reference> allReferences, Keyword keyword) {
+        // 1. 过滤原始列表中的 null 元素
+        List<Reference> validReferences = allReferences.stream()
+                .filter(Objects::nonNull)
+                .collect(Collectors.toList());
+
+        if (validReferences.isEmpty()) {
+            log.info("无有效引用数据,跳过批量保存");
+            return;
+        }
+
+        // 2. 查询数据库中已存在的引用并过滤 null
+        LambdaQueryWrapper<Reference> dbRefWrapper = new LambdaQueryWrapper<>();
+        dbRefWrapper.eq(Reference::getKeyword_id, keyword.getKeyword_id())
+                .eq(Reference::getNum, keyword.getNum());
+        List<Reference> dbReferences = referenceService.list(dbRefWrapper);
+        List<Reference> validDbReferences = dbReferences.stream()
+                .filter(Objects::nonNull)
+                .collect(Collectors.toList());
+
+        // 3. 合并并去重
+        Map<String, List<Reference>> compositeKeyMap = new HashMap<>();
+        validReferences.forEach(ref -> addToCompositeMap(compositeKeyMap, ref));
+        validDbReferences.forEach(ref -> addToCompositeMap(compositeKeyMap, ref));
+
+        // 4. 处理重复次数
+        List<Reference> referencesToSave = new ArrayList<>();
+        compositeKeyMap.forEach((key, refGroup) -> {
+            List<Reference> validRefGroup = refGroup.stream()
+                    .filter(Objects::nonNull)
+                    .collect(Collectors.toList());
+            if (validRefGroup.isEmpty()) return;
+
+            Optional<Reference> existingRef = validRefGroup.stream()
+                    .filter(ref -> ref.getReference_id() != null)
+                    .findFirst();
+
+            Reference finalRef = existingRef.orElse(validRefGroup.get(0));
+// 重复次数 = 老的 + (这一组里一共抓到多少-1)
+            int repetitionNum = (finalRef.getRepetition_num() == null ? 1 : finalRef.getRepetition_num())
+                    + (validRefGroup.size() - 1);
+            finalRef.setRepetition_num(repetitionNum);
+            referencesToSave.add(finalRef);
         });
+
+        // 5. 最终校验并保存
+        List<Reference> finalSaveList = referencesToSave.stream()
+                .filter(Objects::nonNull)
+                .collect(Collectors.toList());
+
+        // 关键校验:列表非空且元素有效
+        if (finalSaveList.isEmpty()) {
+            log.info("处理后无有效引用数据可保存");
+            return;
+        }
+        if (finalSaveList.stream().anyMatch(ref -> !(ref instanceof Reference))) {
+            log.error("引用数据类型异常,无法保存");
+            return;
+        }
+
+        // 执行保存
+        try {
+            referenceService.saveOrUpdateBatch(finalSaveList);
+            log.info("批量保存引用数据成功,数量:{}", finalSaveList.size());
+        } catch (Exception e) {
+            log.error("批量保存引用数据失败", e);
+            throw new RuntimeException("保存引用数据失败", e);
+        }
+    }
+
+    // 辅助方法:将引用添加到复合键Map
+    private void addToCompositeMap(Map<String, List<Reference>> map, Reference ref) {
+        // 再次校验引用的核心字段非空
+        if (ref.getTitle() == null || ref.getUrl() == null || ref.getDomain() == null) {
+            log.warn("引用核心字段为空,跳过映射:{}", ref);
+            return;
+        }
+        String key = ref.getQuestion_id() + "|" + ref.getTitle() + "|" + ref.getUrl() + "|" + ref.getDomain() + "|"  + ref.getNum();
+        map.computeIfAbsent(key, k -> new ArrayList<>()).add(ref);
+    }
+
+    // 批量更新问题状态
+    private void updateQuestionsStatusInBatch(List<Question> questions, Keyword keyword) {
+        if (questions.isEmpty()) {
+            return;
+        }
+
+        // 一次性查询所有问题结果(基于关键词+轮次)
+        LambdaQueryWrapper<QuestionResultList> resultWrapper = new LambdaQueryWrapper<>();
+        resultWrapper.eq(QuestionResultList::getKeyword_id, keyword.getKeyword_id())
+                .eq(QuestionResultList::getNum, keyword.getNum());
+        List<QuestionResultList> allQuestionResults = questionResultService.list(resultWrapper);
+
+        // 按问题分组,便于查询
+        Map<String, List<QuestionResultList>> questionResultsMap = allQuestionResults.stream()
+                .collect(Collectors.groupingBy(QuestionResultList::getQuestion));
+
+        // 批量更新问题状态
+        List<Question> questionsToUpdate = new ArrayList<>();
+        questions.forEach(question -> {
+            List<QuestionResultList> results = questionResultsMap.getOrDefault(question.getQuestion(), Collections.emptyList());
+            String finalStatus = determineFinalStatus(results);
+
+            if ("success".equals(finalStatus)) {
+                question.setStatus("success");
+                question.setError("");
+            } else if ("no_results".equals(finalStatus)) {
+                question.setStatus("success");
+                question.setError("采集结果无引用数据");
+            } else if ("busyness".equals(finalStatus)) {
+                question.setStatus("failed");
+                question.setError("DeepSeek繁忙,请稍后尝试");
+            }
+            // 更新其他字段(响应、时间戳等)
+            results.stream().findFirst().ifPresent(result -> {
+                question.setResponse(result.getResponse());
+                question.setExtracted_count(result.getExtracted_count());
+                question.setTimestamp(result.getTimestamp());
+            });
+            questionsToUpdate.add(question);
+        });
+
+        if (!questionsToUpdate.isEmpty()) {
+            questionService.updateBatchById(questionsToUpdate);
+            log.info("批量更新问题状态 {} 条", questionsToUpdate.size());
+        }
+    }
+
+    // 处理用户状态异常
+    private void handleUserStatus(UserResult userResult, Keyword keyword) {
+        if ("failed".equals(userResult.getStatus())) {
+            LambdaUpdateWrapper<User> userWrapper = new LambdaUpdateWrapper<>();
+            userWrapper.eq(User::getUser_email, userResult.getUser_email());
+
+            if (userResult.getError().contains("登录失败")) {
+                userWrapper.set(User::getStatus, "无法登录");
+                userService.update(userWrapper);
+                // 批量更新问题状态为失败
+                questionService.update(new LambdaUpdateWrapper<Question>()
+                        .eq(Question::getKeyword_id, keyword.getKeyword_id())
+                        .set(Question::getStatus, "failed")
+                        .set(Question::getError, "账户登录失败"));
+            } else if (userResult.getError().contains("信息错误")) {
+                userWrapper.set(User::getStatus, "信息错误");
+                userService.update(userWrapper);
+                // 批量更新问题状态为失败
+                questionService.update(new LambdaUpdateWrapper<Question>()
+                        .eq(Question::getKeyword_id, keyword.getKeyword_id())
+                        .set(Question::getStatus, "failed")
+                        .set(Question::getError, "账户信息错误"));
+            }
+        }
+    }
+
+    // 原方法:判断最终状态(复用)
+    private String determineFinalStatus(List<QuestionResultList> results) {
+        if (results.isEmpty()) {
+            return "no_results";
+        }
+
+        int totalCount = results.size();
+        int emptyResponseCount = 0;
+        int systemBusyCount = 0;
+
+        for (QuestionResultList result : results) {
+            if (result.getExtracted_count() == 0) {
+                emptyResponseCount++;
+            }
+            if ("success".equals(result.getStatus()) &&
+                    (result.getResponse() == null || result.getResponse().isEmpty()
+                            || result.getResponse().contains("WebDriver连接中断")
+                            || result.getResponse().contains("响应超时"))) {
+                systemBusyCount++;
+            }
+        }
+
+        if (systemBusyCount == totalCount) {
+            return "busyness";
+        }
+        if (emptyResponseCount == totalCount) {
+            return "no_results";
+        }
+        return "success";
     }
 
     @GetMapping("/tasks/all")
@@ -697,8 +1371,6 @@
                     TaskListResponse response = new TaskListResponse();
                     response.setDetail("获取任务列表失败: " + e.getMessage());
                     return Mono.just(response);
-
-                    // return Mono.just(ResponseResult.error("获取任务列表失败: " + e.getMessage()));
                 });
     }
 
@@ -726,9 +1398,7 @@
                 .onErrorResume(e -> Mono.just(
                         new ServerResourceResponse( e.getMessage())));
     }
-    /**
-     * 传入orderid查所有关键词id以及关键词下面的所有任务id,轮询所有任务状态,如果状态为completed,则循环调用获取结果接口,处理结果
-     */
+
 
 
 }

--
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