From 6d794867f4255811ad990224b7ca25f6efcf77a0 Mon Sep 17 00:00:00 2001
From: huliguo <2023611923@qq.com>
Date: 星期五, 11 七月 2025 12:26:58 +0800
Subject: [PATCH] 新增
---
src/main/java/com/linghu/controller/CollectController.java | 495 ++++++++++++++++++++++++++++++++++++++++++++++++-------
1 files changed, 432 insertions(+), 63 deletions(-)
diff --git a/src/main/java/com/linghu/controller/CollectController.java b/src/main/java/com/linghu/controller/CollectController.java
index e3bab81..40aead8 100644
--- a/src/main/java/com/linghu/controller/CollectController.java
+++ b/src/main/java/com/linghu/controller/CollectController.java
@@ -1,55 +1,49 @@
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.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.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 reactor.core.scheduler.Schedulers;
+
import java.util.stream.Collectors;
import java.util.stream.IntStream;
+import java.util.stream.Stream;
@RestController
@RequestMapping("/collect")
@Api(value = "采集接口", tags = "采集管理")
+@Slf4j
public class CollectController {
@Autowired
@@ -67,28 +61,21 @@
private KeywordService keywordService;
@Autowired
private QuestionService questionService;
+ @Autowired
+ private KeywordTaskService keywordTaskService;
+ @Autowired
+ private PlatformService platformService;
+ @Autowired
+ private TypeService typeService;
+ @Autowired
+ private UserService userService;
- @PostMapping("/search")
+
+ /* @PostMapping("/search")
@ApiOperation(value = "开始采集")
public Mono<SearchTaskResponse> 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));
return webClient.post()
.uri(baseUrl + "/api/v1/search")
@@ -106,10 +93,12 @@
// 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);
+
// 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());
+
}
return Mono.just(taskResponse);
})
@@ -119,8 +108,230 @@
task.setMessage("调用失败: " + e.getMessage());
return Mono.just(task);
});
+ }*/
+
+// public SearchTaskController(WebClient.Builder webClientBuilder, KeywordService keywordService) {
+// this.webClient = webClientBuilder.build();
+// this.keywordService = keywordService;
+// }
+
+ /* @PostMapping("/search")
+ @ApiOperation(value = "开始采集")
+ public Mono<SearchTaskResponse> createSearchTask(
+ @RequestBody SearchTaskRequest searchTaskRequest,
+ HttpServletRequest request) throws JsonProcessingException {
+
+ int maxConcurrentUsers = searchTaskRequest.getConfig() != null ?
+ searchTaskRequest.getConfig().getMax_concurrent_users() : 3;
+ List<List<UserDto>> userBatches = splitUsersIntoBatches(searchTaskRequest.getUsers(), maxConcurrentUsers);
+
+ return processBatchesSequentially(userBatches, searchTaskRequest)
+ .onErrorResume(e -> {
+ SearchTaskResponse task = new SearchTaskResponse();
+ task.setMessage("调用失败: " + e.getMessage());
+ return Mono.just(task);
+ });
}
+ 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())));
+ }
+ 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());
+
+ 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;
+ 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);
+ }
+ 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>
+ }*/
+ // 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);
+
+ // 获取 keywordId
+
+ //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) {
+
+ 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())));
+ }
+ return batches;
+ }
+
+ 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(taskResponse -> {
+ if (taskResponse != null && taskResponse.getTask_id() != null) {
+
+ // 使用 Reactor 的方式更新数据库
+ return Mono.fromRunnable(() -> {
+ 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);
+ }).subscribeOn(Schedulers.boundedElastic()) // 在弹性线程池执行
+ .thenReturn(taskResponse);
+ }
+ 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) {
@@ -128,7 +339,7 @@
.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 -> {
@@ -142,7 +353,12 @@
return question;
}).collect(Collectors.toList());
- questionService.updateBatchById(updateQuestions);
+ // 包装成响应式操作
+ return Mono.fromCallable(() -> {
+ questionService.updateBatchById(updateQuestions);
+ return result;
+ });
+
}
return Mono.just(result);
})
@@ -168,14 +384,39 @@
.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(404, "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(400, "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()));
});
}
@@ -207,7 +448,10 @@
})
.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);
});
@@ -282,20 +526,44 @@
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);
+
+ 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);
+
+// 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);
}
// 2. 批量查询所有问题
@@ -310,7 +578,7 @@
// 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 +590,7 @@
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) {
@@ -335,7 +604,6 @@
questionsToUpdate.add(question);
- // 收集引用数据，处理空集合情况
List<Reference> references =
Optional.ofNullable(questionResult.getReferences())
.orElse(Collections.emptyList())
@@ -346,7 +614,38 @@
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());
@@ -355,8 +654,56 @@
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());
}
}
@@ -370,20 +717,22 @@
}
// 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 +757,7 @@
}
@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 +766,23 @@
.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
+ */
+
+
}
--
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