From b7ff8446a58d59e7df8a588104c231c7af7d8573 Mon Sep 17 00:00:00 2001
From: guyue <1721849008@qq.com>
Date: 星期五, 11 七月 2025 14:31:15 +0800
Subject: [PATCH] Merge remote-tracking branch 'origin/master'
---
src/main/java/com/linghu/controller/CollectController.java | 316 +++++++++++++++++++++++++++++++++++++++++-----------
1 files changed, 249 insertions(+), 67 deletions(-)
diff --git a/src/main/java/com/linghu/controller/CollectController.java b/src/main/java/com/linghu/controller/CollectController.java
index e6b7671..4c68e73 100644
--- a/src/main/java/com/linghu/controller/CollectController.java
+++ b/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;
@@ -37,7 +29,6 @@
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;
@@ -47,6 +38,7 @@
import java.util.stream.Collectors;
import java.util.stream.IntStream;
+import java.util.stream.Stream;
@RestController
@RequestMapping("/collect")
@@ -75,6 +67,10 @@
private PlatformService platformService;
@Autowired
private TypeService typeService;
+ @Autowired
+ private UserService userService;
+ @Autowired
+ private OrderService orderService;
/* @PostMapping("/search")
@@ -198,38 +194,73 @@
.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<List<SearchTaskResponse>> createSearchTask(
+ public Mono<ResponseResult<?>> 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);
+ // 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();
- // 获取 keywordId
- 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 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
- );
+ 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) {
@@ -248,14 +279,24 @@
return Mono.fromRunnable(() -> {
boolean success = keywordTaskService.saveOrUpdateBatch(keywordTasks);
if (!success) {
- throw new RuntimeException("保存关键词任务关联失败");
+// 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) {
+ 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 +323,21 @@
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());
+ if (null==keyword.getNum()){
+ keyword.setNum(0);
+ }
+ keyword.setNum(keyword.getNum()+1);
+ keywordService.updateById(keyword);
+ //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);
}
@@ -342,14 +398,39 @@
.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 +462,10 @@
})
.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 +540,8 @@
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 +556,60 @@
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 +623,7 @@
// 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 +649,6 @@
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 +659,38 @@
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 +699,53 @@
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 +760,7 @@
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;
--
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