队列一

guyue

1 天以前 53672f15a604c8c960a7e298d2dc1221d4a3c602

 src/main/java/com/linghu/controller/CollectController.java

@@ -6,26 +6,18 @@
import java.util.*;
import java.util.stream.Collectors;

import javax.annotation.Resource;
import javax.servlet.http.HttpServletRequest;

import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.JsonNode;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.linghu.mapper.PlatformMapper;
import com.linghu.mapper.TypeMapper;
import com.linghu.model.dto.*;
import com.linghu.model.entity.*;
import com.linghu.service.*;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.BeanUtils;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.core.ParameterizedTypeReference;
import org.springframework.http.*;
import org.springframework.web.client.RestTemplate;
import org.springframework.web.reactive.function.client.WebClient;
import org.springframework.http.client.HttpComponentsClientHttpRequestFactory;

import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
import com.baomidou.mybatisplus.core.conditions.update.LambdaUpdateWrapper;
@@ -35,18 +27,13 @@
import io.jsonwebtoken.lang.Collections;
import io.swagger.annotations.Api;
import io.swagger.annotations.ApiOperation;
import reactor.core.publisher.Flux;
import reactor.core.publisher.Mono;
import reactor.core.publisher.SignalType;

import org.springframework.web.bind.annotation.* ;
import org.springframework.http.HttpStatus;
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;

@RestController
@RequestMapping("/collect")
@@ -75,187 +62,279 @@
    private PlatformService platformService;
    @Autowired
    private TypeService typeService;


 /*   @PostMapping("/search")
    @Autowired
    private UserService userService;
    @Autowired
    private OrderService orderService;
    private static final Queue<SearchTaskRequest> taskQueue = new LinkedList<>();
    private static boolean isProcessing = false;
    @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) {
            // 处理任务
            executeBatchTask(nextTaskRequest)
                    .doFinally(signal -> {
                        // 完成后，继续处理下一个任务
                        isProcessing = false;
                        if (!taskQueue.isEmpty()) {
                            processNextTaskInQueue();  // 继续处理队列中的下一个任务
                        }
                    })
                    .subscribe();
        }
    }

    private Mono<ResponseResult<String>> executeBatchTask(SearchTaskRequest searchTaskRequest) {
        log.info("开始处理任务：{}", searchTaskRequest);
        log.info("++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++");
        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);

        return processBatchesSequentially(userBatches, searchTaskRequest)
                .onErrorResume(e -> {
                    SearchTaskResponse task = new SearchTaskResponse();
                    task.setMessage("调用失败: " + e.getMessage());
                    return Mono.just(task);
        Queue<List<UserDto>> batchQueue = new LinkedList<>(userBatches); // 用队列存储批次

        return Mono.just(ResponseResult.success("第一个批次已开始"))
                .doOnTerminate(() -> {
                    // 启动后台任务，继续处理批次
                    executeBatchTask(batchQueue, searchTaskRequest, keywordId)
                            .subscribe();  // 使用subscribe()启动后台任务
                });
    }

    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())));
    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
        if (batchQueue.isEmpty()) {
            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);
                        // 保存任务关联到数据库
                        return saveKeywordTasks(keywordId, taskResponse)
                                .then(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));
                });
    }

    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>
    }*/
   @PostMapping("/search")
   @ApiOperation(value = "开始采集")
   public Mono<List<SearchTaskResponse>> createSearchTask(
           @RequestBody SearchTaskRequest searchTaskRequest,
           HttpServletRequest request) throws JsonProcessingException {
    private Mono<Void> saveKeywordTasks(Integer keywordId, SearchTaskResponse taskResponse) {
        if (taskResponse == null || taskResponse.getTask_id() == null) {
            return Mono.error(new RuntimeException("任务响应无效或任务ID为空"));
        }

       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();

       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
               );
   }

    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());
        KeywordTask keywordTask = new KeywordTask();
        keywordTask.setKeyword_id(keywordId);
        keywordTask.setTask_id(taskResponse.getTask_id());
        keywordTask.setStatus("pending");

        // 将 MyBatis-Plus 的同步方法包装为 Mono<Void>
        return Mono.fromRunnable(() -> {
                    boolean success = keywordTaskService.saveOrUpdateBatch(keywordTasks);
                    boolean success = keywordTaskService.saveOrUpdate(keywordTask);
                    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()))
                .doFinally(signalType -> log.info("成功保存关键词任务关联: Task ID {}", taskResponse.getTask_id()))
                .then();
    }
    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 -> {
                    // 如果任务状态是"submitted"或"running"，继续轮询
                    if ("submitted".equalsIgnoreCase(statusResponse.getStatus()) || "running".equalsIgnoreCase(statusResponse.getStatus())) {
                        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);
                });
    }

    private List<List<UserDto>> splitUsersIntoBatches(List<UserDto> users, int batchSize) {


   // 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 {
           if (usageStr != null) {
               // 移除可能存在的百分号
               usageStr = usageStr.replace("%", "").trim();
               return Double.parseDouble(usageStr);
           }
           return 0.0;
       } catch (NumberFormatException e) {
           log.error("解析资源使用率失败: {}", e.getMessage());
           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));
                   }
                   Integer keywordId = searchTaskRequest.getKeyword_id();

                   int maxConcurrentUsers = searchTaskRequest.getConfig() != null ?
                           searchTaskRequest.getConfig().getMax_concurrent_users() : 3;
                   List<List<UserDto>> userBatches = splitUsersIntoBatches(searchTaskRequest.getUsers(), maxConcurrentUsers,keywordId);

                   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");
//                        // 添加异常处理
//                        Mono.error( 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) {

        Keyword keyword = keywordService.getById(keywordId);
        if (null==keyword.getNum()){
            keyword.setNum(0);
        }
        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())));
@@ -282,6 +361,17 @@
                                    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());

                                    //设置订单进入采集状态
                                    LambdaUpdateWrapper<Orders> updateOrderWrapper = new LambdaUpdateWrapper<>();
                                    updateOrderWrapper.eq(Orders::getOrder_id, keyword.getOrder_id()) // 确保字段名正确
                                            .set(Orders::getStatus, 2); // 直接设置状态值

                                    boolean success = orderService.update(updateOrderWrapper);
                                    log.info("订单状态更新结果: {}", success ? "成功" : "失败");

                                }).subscribeOn(Schedulers.boundedElastic()) // 在弹性线程池执行
                                .thenReturn(taskResponse);
                    }
@@ -290,46 +380,46 @@
    }

    // 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());

                        // 包装成响应式操作
                        return Mono.fromCallable(() -> {
                            questionService.updateBatchById(updateQuestions);
                            return result;
                        });

                    }
                    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());

                    return Mono.just(errorResponse);
                });
    }
//    @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());
//
//                        // 包装成响应式操作
//                        return Mono.fromCallable(() -> {
//                            questionService.updateBatchById(updateQuestions);
//                            return result;
//                        });
//
//                    }
//                    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());
//
//                    return Mono.just(errorResponse);
//                });
//    }

    @PostMapping("/cancel/{taskId}")
    @ApiOperation(value = "取消任务")
@@ -342,14 +432,39 @@
                .onStatus(HttpStatus::isError, response -> response.bodyToMono(TaskCancelResponse.class)
                        .flatMap(errorBody -> Mono.error(new RuntimeException(errorBody.getDetail()))))
                .bodyToMono(TaskCancelResponse.class)
                .flatMap(cancelResponse -> {
                    // 更新关键词状态
                    Mono<Void> updateKeyword = Mono.fromRunnable(() -> {
                                LambdaUpdateWrapper<Keyword> updateWrapper = new LambdaUpdateWrapper<>();
                                updateWrapper.eq(Keyword::getTask_id, taskId);
                                updateWrapper.set(Keyword::getStatus, "canceled"); // 统一使用"canceled"
                                keywordService.update(updateWrapper);
                            })
                            .subscribeOn(Schedulers.boundedElastic())
                            .then();

                    // 更新关键词任务状态
                    Mono<Void> updateKeywordTask = Mono.fromRunnable(() -> {
                                LambdaUpdateWrapper<KeywordTask> updateWrapper = new LambdaUpdateWrapper<>();
                                updateWrapper.eq(KeywordTask::getTask_id, taskId);
                                updateWrapper.set(KeywordTask::getStatus, "canceled"); // 统一使用"canceled"
                                keywordTaskService.update(updateWrapper);
                            })
                            .subscribeOn(Schedulers.boundedElastic())
                            .then();

                    // 并行执行两个更新操作，并在完成后返回cancelResponse
                    return Mono.when(updateKeyword, updateKeywordTask)
                            .thenReturn(cancelResponse);
                })
                .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"));
                        return Mono.just(ResponseResult.error(200, e.getMessage()));
                    } 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(200, e.getMessage()));
                    }
                    return Mono.just(ResponseResult.error(500, "取消任务失败: " + e.getMessage()));
                    return Mono.just(ResponseResult.error(500,  e.getMessage()));
                });
    }

@@ -381,7 +496,10 @@
                })
                .onErrorResume(e -> {
                    System.out.println("获取任务结果失败");
                    TaskResultResponse result = new TaskResultResponse();
                    if (e.getMessage().contains("登陆失败")){

                    }
                        TaskResultResponse result = new TaskResultResponse();
                    result.setDetail("获取任务结果失败: " + e.getMessage());
                    return Mono.just(result);
                });
@@ -456,6 +574,8 @@
    private Mono<Void> updateQuestionAndReference(TaskResultResponse result) {
        return Mono.fromRunnable(() -> {
            try {
                //查看每个账号信息的status是否正常

                // 1. 根据KeywordTask更新关键词状态
                // 查询关键词ID
                LambdaQueryWrapper<KeywordTask> keywordTaskWrapper = new LambdaQueryWrapper<>();
@@ -470,8 +590,60 @@
                    throw new Exception("未找到关联的关键词，task_id: " + result.getTask_id());
//                    return;
                }
                keyword.setStatus("completed");
                keywordService.updateById(keyword);
                LambdaQueryWrapper<KeywordTask> keywordTaskWrapper2 = new LambdaQueryWrapper<>();
                keywordTaskWrapper2.eq(KeywordTask::getKeyword_id, keyword.getKeyword_id());
                List<KeywordTask> keywordTasks = keywordTaskService.list(keywordTaskWrapper2);

// 定义状态优先级：canceled > false > completed
                String finalStatus = "completed"; // 默认状态为 completed

                for (KeywordTask task : keywordTasks) {
                    String status = task.getStatus();
                    if ("canceled".equals(status)) {
                        finalStatus = "canceled";
                        break; // 遇到 canceled 直接跳出循环，因为优先级最高
                    } else if ("false".equals(status)) {
                        finalStatus = "false";
                        // 不跳出循环，继续检查是否存在 canceled
                    }
                }
// 更新关键词状态
                if (!finalStatus.equals(keyword.getStatus())) {
                    keyword.setStatus(finalStatus);
                    keywordService.updateById(keyword);
                    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. 查询该订单下的所有关键词
                    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;
                    }

                    // 3. 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<>();
@@ -485,7 +657,7 @@
                // 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()) {
@@ -511,17 +683,6 @@

                                questionsToUpdate.add(question);

                                //如果查询结果不为空查询num
                                Integer maxNumByKeywordId = referenceService.getMaxNumByKeywordId(keyword.getKeyword_id());
                               if (maxNumByKeywordId != null){
                                   maxNumByKeywordId++;
                               }else {
                                   maxNumByKeywordId = 1;
                               }


                                // 收集引用数据，处理空集合情况
                                Integer finalMaxNumByKeywordId = maxNumByKeywordId;
                                List<Reference> references =
                                        Optional.ofNullable(questionResult.getReferences())
                                                .orElse(Collections.emptyList())
@@ -532,30 +693,38 @@
                                                    reference.setTitle(ref.getTitle());
                                                    reference.setUrl(ref.getUrl());
                                                    reference.setDomain(ref.getDomain());
                                                    reference.setNum(finalMaxNumByKeywordId);
                                                    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) {
//                                                        throw new RuntimeException("未找到对应的平台: " + reference.getDomain());
//                                                    }
                                                    if (platform != null){
                                                    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) {
//                                                        throw new RuntimeException("未找到对应的类型: " + reference.getDomain());
//                                                    }
                                                        if (type != null){
                                                            reference.setType_id(type.getType_id());
                                                        }
                                                    }


                                                    // 根据 domain 查询类型


                                                    return reference;
                                                })
                                                .collect(Collectors.toList());
@@ -564,6 +733,53 @@
                                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);
@@ -578,7 +794,7 @@
                    questionService.updateBatchById(questionsToUpdate);
                    System.out.println("成功批量更新 " + questionsToUpdate.size() + " 个问题");
                }
                referenceService.saveBatch(allReferences);

                // 5. 批量插入引用，使用流式分批处理
//                if (!allReferences.isEmpty()) {
//                    int batchSize = 1000;