From b1c917a344e6240a013d0c0fc0a67e3de02afb7e Mon Sep 17 00:00:00 2001
From: guyue <1721849008@qq.com>
Date: 星期日, 13 七月 2025 23:15:27 +0800
Subject: [PATCH] 修改状态
---
src/main/java/com/linghu/controller/CollectController.java | 1086 ++++++++++++++++++++++++++++++++++++++++++++++++++------
1 files changed, 968 insertions(+), 118 deletions(-)
diff --git a/src/main/java/com/linghu/controller/CollectController.java b/src/main/java/com/linghu/controller/CollectController.java
index e3bab81..f435bea 100644
--- a/src/main/java/com/linghu/controller/CollectController.java
+++ b/src/main/java/com/linghu/controller/CollectController.java
@@ -1,55 +1,48 @@
package com.linghu.controller;
+import java.time.Duration;
import java.time.LocalDateTime;
import java.time.format.DateTimeFormatter;
-import java.util.ArrayList;
-import java.util.List;
-import java.util.Map;
-import java.util.Optional;
+import java.util.*;
+import java.util.concurrent.*;
+import java.util.concurrent.locks.ReentrantLock;
import java.util.stream.Collectors;
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.model.dto.*;
-import org.springframework.beans.BeanUtils;
+import com.linghu.model.entity.*;
+import com.linghu.service.*;
+import lombok.extern.slf4j.Slf4j;
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.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;
import com.linghu.model.common.ResponseResult;
-import com.linghu.model.entity.Keyword;
-import com.linghu.model.entity.Question;
-import com.linghu.model.entity.User;
-import com.linghu.service.KeywordService;
-import com.linghu.service.QuestionService;
-import com.linghu.service.ReferenceService;
import com.linghu.utils.JwtUtils;
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 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 com.linghu.model.entity.Reference;
-import java.util.stream.Collectors;
-import java.util.stream.IntStream;
+import reactor.core.scheduler.Schedulers;
@RestController
@RequestMapping("/collect")
@Api(value = "采集接口", tags = "采集管理")
+@Slf4j
public class CollectController {
@Autowired
@@ -67,60 +60,198 @@
private KeywordService keywordService;
@Autowired
private QuestionService questionService;
+ @Autowired
+ private KeywordTaskService keywordTaskService;
+ @Autowired
+ private PlatformService platformService;
+ @Autowired
+ private TypeService typeService;
+ @Autowired
+ private UserService userService;
+ @Autowired
+ private OrderService orderService;
+
+ // 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<>();
+
+ 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 {
- String token = request.getHeader("Authorization");
- User user = jwtUtils.parseToken(token);
- // 复制到UserDto
- UserDto userDto = new UserDto();
- userDto.setName(user.getUser_name());
- userDto.setEmail(user.getUser_email());
- userDto.setPassword(user.getPassword());
- // List<User> users = new ArrayList<>();
- // users.add(user);
- List<UserDto> users = new ArrayList<>();
- users.add(userDto);
- searchTaskRequest.setUsers(users);
- // json格式
- ObjectMapper objectMapper = new ObjectMapper();
- System.out.println(objectMapper.writeValueAsString(searchTaskRequest));
+ // 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());
- 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::getTask_id, taskResponse.getTask_id());
- keywordService.update(updateWrapper);
- // 可选：更新响应中的其他信息
- // taskResponse.setMessage("任务已提交并保存，ID: " + taskResponse.getTaskId());
+ 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()));
});
}
+ private void processNextTaskInQueue() {
+ // 设置为正在处理
+ isProcessing = true;
+
+ // 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) {
+ Integer keywordId = searchTaskRequest.getKeyword_id();
+ // ... 原有逻辑 ...
+ int maxConcurrentUsers = searchTaskRequest.getConfig() != null ?
+ searchTaskRequest.getConfig().getMax_concurrent_users() : 3;
+ List<List<UserDto>> userBatches = splitUsersIntoBatches(searchTaskRequest.getUsers(), maxConcurrentUsers, keywordId);
+
+
+ // 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();
+ });
+ }
+/* 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, keywordId);
+
+ 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 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"));
+// }
+ if (batchQueue == null || batchQueue.isEmpty()) {
+ // 清理资源
+ batchQueues.remove(keywordId);
+ return Mono.just(ResponseResult.success("所有批次已完成"));
+ }
+
+ 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);
+
+ return createSingleBatchTask(batchRequest)
+ .flatMap(taskResponse -> {
+ if (taskResponse != null && taskResponse.getTask_id() != null) {
+ // 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"));
+ }
+ })
+ .doFinally(signal -> {
+ // 任务完成时清理资源
+ if (batchQueue.isEmpty()) {
+ batchQueues.remove(keywordId);
+ }
+ });
+ }
+
+// 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"));
+// }
+//
+// 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.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 -> {
+ // 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()) ) {
+ 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) {
@@ -128,57 +259,477 @@
.uri(baseUrl + "/api/v1/tasks/" + taskId)
.accept(MediaType.APPLICATION_JSON)
.retrieve()
- .onStatus(HttpStatus::is4xxClientError, response -> response.bodyToMono(TaskStatusResponse.class)
+ .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());
-
- questionService.updateBatchById(updateQuestions);
- }
- return Mono.just(result);
- })
.onErrorResume(e -> {
- // 创建一个自定义的错误响应对象
+ // 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);
});
}
- @PostMapping("/cancel/{taskId}")
- @ApiOperation(value = "取消任务")
- public Mono<ResponseResult<TaskCancelResponse>> cancelTask(@PathVariable String taskId) {
+
+
+ // 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())));
+
+ }
+ 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());// 任务初始状态为 pending
+ keywordTaskService.save(keywordTask); // 保存 KeywordTask
+ }
+
+
+ return batches;
+ }
+
+ private Mono<SearchTaskResponse> createSingleBatchTask(SearchTaskRequest batchRequest) {
return webClient.post()
- .uri(baseUrl + "/api/v1/tasks/" + taskId + "/cancel")
+ .uri(baseUrl + "/api/v1/search")
.contentType(MediaType.APPLICATION_JSON)
- .bodyValue(Collections.emptyMap()) // 添加空请求体
+ .bodyValue(batchRequest)
.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(404, "任务不存在"));
- } else if (e.getMessage().contains("无法取消")) {
- return Mono.just(ResponseResult.error(400, "任务已完成，无法取消"));
+ .onStatus(HttpStatus::is4xxClientError, response -> response.bodyToMono(String.class)
+ .flatMap(errorBody -> Mono.error(new RuntimeException(errorBody))))
+ .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())
+ .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);
+ }
+// KeywordTask taskToUpdate = keywordTaskService.getOne(new LambdaQueryWrapper<KeywordTask>()
+// .eq(KeywordTask::getKeyword_id, keyword.getKeyword_id())
+// .eq(KeywordTask::getTask_id, null)); // 确保 task_id 为 null 的任务
+
+ // 更新任务的 task_id 和状态
+// taskToUpdate.setTask_id(taskResponse.getTask_id());
+// taskToUpdate.setStatus("submitted");
+// keywordTaskService.updateById(taskToUpdate);
+
+
+ //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);
}
- return Mono.just(ResponseResult.error(500, "取消任务失败: " + e.getMessage()));
+ return Mono.just(taskResponse);
});
}
+ // 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);
+// });
+// }
+ @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
+
+ // 2. 从批次队列移除任务 (新增逻辑)
+ int removedBatchQueue = removeBatchTasksByKeywordId(keywordId);
+
+ // 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)
+ );
+
+ // 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(), "canceled");
+ 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())
+ )
+ ));
+ });
+ }
+
+ // 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")
+ );
+ }
+ /* @PostMapping("/cancel/{keywordId}")
+ @ApiOperation(value = "取消任务")
+ public Mono<ResponseResult<TaskCancelResponse>> cancelTask(@PathVariable Integer keywordId) {
+ // 1. 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)
+ );
+
+ // 2. 从队列中移除所有相关任务（使用锁保证线程安全）
+ List<SearchTaskRequest> removedQueueTasks = removeTasksFromQueueByKeywordId(keywordId);
+
+ // 3. 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());
+
+ // 4. 对筛选出的任务发送远程取消请求（并行执行）
+ 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(), "canceled");
+ 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()));
+ });
+
+ // 合并操作：无论远程取消是否成功，都更新状态
+ return Mono.zip(cancelOp, updateStatus)
+ .thenReturn(true);
+ }, 10) // 设置10的并发度
+ .collectList()
+ .flatMap(canceledTasks -> {
+ // 5. 更新关键词和订单状态
+ return updateKeywordAndOrderStatus(keywordId)
+ .thenReturn(ResponseResult.success(
+ new TaskCancelResponse(
+ String.format("关键词任务已取消，队列中移除 %d 个任务，远程取消 %d 个任务",
+ removedQueueTasks.size(),
+ tasksToCancelRemotely.size())
+ )
+ ));
+ })
+ .onErrorResume(e -> {
+ log.error("取消关键词任务失败: {}", e.getMessage());
+ return Mono.just(ResponseResult.error(500, "取消关键词任务失败: " + e.getMessage()));
+ });
+ }*/
+ // 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
+// if (keywordTasks.stream().allMatch(task ->
+// "completed".equals(task.getStatus()) || "false".equals(task.getStatus()) || "canceled".equals(task.getStatus())
+// )) {
+ keyword.setStatus("canceled");
+ keywordService.updateById(keyword);
+// log.info("关键词 {} 所有任务已完成，更新状态为 completed", keywordId);
+// }
+ //更新提问词状态为取消
+
+ questionService.update(new LambdaUpdateWrapper<Question>().eq(Question::getKeyword_id, keywordId).set(Question::getStatus, "canceled"));
+
+ // 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()) || "canceled".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
+// 发送远程取消请求（使用Java 8兼容的Map创建方式）
+ 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(requestBody)
+ .retrieve()
+ .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) {
@@ -199,6 +750,7 @@
.bodyToMono(TaskResultResponse.class)
.flatMap(responseResult -> {
TaskResultResponse result = responseResult;
+
if (result != null && result.getResults() != null) {
return updateQuestionAndReference(result)
.thenReturn(responseResult);
@@ -207,7 +759,7 @@
})
.onErrorResume(e -> {
System.out.println("获取任务结果失败");
- TaskResultResponse result = new TaskResultResponse();
+ TaskResultResponse result = new TaskResultResponse();
result.setDetail("获取任务结果失败: " + e.getMessage());
return Mono.just(result);
});
@@ -278,25 +830,150 @@
// }
// });
// }
+ /**
+ * 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) {
+ // 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);
+ 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);
+ }
+ }
private Mono<Void> updateQuestionAndReference(TaskResultResponse result) {
return Mono.fromRunnable(() -> {
try {
- // 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);
+ //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<Keyword> keywordQuery = new LambdaQueryWrapper<>();
- keywordQuery.eq(Keyword::getTask_id, result.getTask_id());
- Keyword keyword = keywordService.getOne(keywordQuery);
+ 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;
+ //报错
+ throw new Exception("未找到关联的关键词，task_id: " + result.getTask_id());
+// return;
}
+ LambdaQueryWrapper<KeywordTask> keywordTaskWrapper2 = new LambdaQueryWrapper<>();
+ keywordTaskWrapper2.eq(KeywordTask::getKeyword_id, keyword.getKeyword_id());
+ List<KeywordTask> keywordTasks = keywordTaskService.list(keywordTaskWrapper2);
+
+ //如果全部为completed 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()) || "canceled".equals(task.getStatus())) ) {
+ keyword.setStatus("completed");
+ keywordService.updateById(keyword);
+
+ }
+ //如果有一个task为failed设置关键词为false
+// else if (keywordTasks.stream().anyMatch(task -> "failed".equals(task.getStatus()))) {
+// keyword.setStatus("false");
+// keywordService.updateById(keyword);
+// }
+
+
+
+//
+//// 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
+
+ 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;
+ }
+ boolean allValid2 = orderKeywords.stream()
+ .allMatch(k -> "completed".equals(k.getStatus()) || "false".equals(k.getStatus()) || "canceled".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. 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<>();
@@ -310,7 +987,7 @@
// 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()) {
@@ -322,6 +999,7 @@
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) {
@@ -335,8 +1013,7 @@
questionsToUpdate.add(question);
- // 收集引用数据，处理空集合情况
- List<Reference> references =
+ /* List<Reference> references =
Optional.ofNullable(questionResult.getReferences())
.orElse(Collections.emptyList())
.stream()
@@ -346,20 +1023,171 @@
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());
+ .collect(Collectors.toList());*/
+ // 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) { // 注意：需将“原引用类型”替换为实际类型（如QuestionResult中的引用类型）
+ 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.setNum(keyword.getNum());
+ reference.setTask_id(result.getTask_id());
+ reference.setKeyword_id(keyword.getKeyword_id());
+ reference.setCreate_time(LocalDateTime.now());
+
+ /* // 处理平台和类型关联
+ Platform platform = platformService.getPlatformByDomain(reference.getDomain());
+ if (platform == null) {
+ // 平台不存在，创建新平台（类型默认为“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());
+ platform1.setCreate_time(LocalDateTime.now());
+ platformService.save(platform1);
+
+ // 关联新平台和类型
+ reference.setType_id(type.getType_id());
+ reference.setPlatform_id(platform1.getPlatform_id());
+ } else {
+ // 平台已存在，直接关联
+ reference.setPlatform_id(platform.getPlatform_id());
+ Type type = typeService.getById(platform.getType_id());
+ if (type != null) {
+ reference.setType_id(type.getType_id());
+ }
+ }
+*/
+ // 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());
+ 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());
}
}
+ //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);
+
+ }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);
+ }
+ }
+
}
// 4. 批量更新问题
@@ -370,20 +1198,22 @@
}
// 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");
- }
+// 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) {
- System.out.println("更新问题和引用数据失败: " + e.getMessage());
+ 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);
}
});
@@ -408,6 +1238,7 @@
}
@GetMapping("/health")
+ @ApiOperation("健康检查")
public Mono<HealthResponse> checkThirdPartyHealth() {
return webClient.get()
.uri(baseUrl + "/health") // 假设第三方健康检查接口路径为/health
@@ -416,4 +1247,23 @@
.onErrorResume(e -> Mono.just(
new HealthResponse("unhealthy", null, "", e.getMessage())));
}
+
+ /**
+ * 查询服务器资源
+ */
+ @GetMapping("/server/resource")
+ @ApiOperation(value = "查询服务器资源")
+ public Mono<ServerResourceResponse> getServerResource() {
+ return webClient.get()
+ .uri(baseUrl + "/api/v1/system/resources")
+ .retrieve()
+ .bodyToMono(ServerResourceResponse.class)
+ .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
+ */
+
+
}
--
Gitblit v1.7.1