feat(stock):加载用户自定义词典进行情感分析(用户可以自己定义词典调整热词权重)

- 在默认词典加载成功后，增加加载用户自定义词典逻辑 - 判断用户词典文件是否存在，避免加载空文件 - 记录用户词典加载成功或失败的日志信息 - 保持原有默认词典加载流程不变 - 确保词典加载错误不会中断程序运行 - 统一词典加载后的日志输出格式
feat(market):调整词频树图数据计算方式
2025-11-22 13:02:33 +08:00 · 2025-11-22 12:58:41 +08:00 · 2025-11-22 12:55:11 +08:00 · 2025-11-22 08:03:44 +08:00 · 2025-11-22 07:48:00 +08:00 · 2025-11-21 20:17:57 +08:00
37 changed files with 1747362 additions and 121 deletions
--- a/README.md
+++ b/README.md
@@ -37,11 +37,9 @@
 | [LMStudio](https://lmstudio.ai/) | ✅ | 本地大模型运行平台                                                                                                                                                                                                                                                         |
 | [AnythingLLM](https://anythingllm.com/) | ✅ | 本地知识库                                                                                                                                                                                                                                                             |
 | [DeepSeek](https://www.deepseek.com/) | ✅ | deepseek-reasoner,deepseek-chat                                                                                                                                                                                                                                   |
-| [大模型聚合平台](https://cloud.siliconflow.cn/i/foufCerk) | ✅ | 如：[302.AI](https://share.302.ai/1KUpfG)，[硅基流动](https://cloud.siliconflow.cn/i/foufCerk)，[火山方舟](https://www.volcengine.com/experience/ark?utm_term=202502dsinvite&ac=DSASUQY5&rc=IJSE43PZ) |
+| [大模型聚合平台](https://cloud.siliconflow.cn/i/foufCerk) | ✅ | 如：[硅基流动](https://cloud.siliconflow.cn/i/foufCerk)，[火山方舟](https://www.volcengine.com/experience/ark?utm_term=202502dsinvite&ac=DSASUQY5&rc=IJSE43PZ) |

 ### <span style="color: #568DF4;">各位亲爱的朋友们，如果您对这个项目感兴趣，请先给我一个<i style="color: #EA2626;">star</i>吧，谢谢！</span>💕
- 302.AI：新用户使用邀请码注册，即可领取 $1 测试额度！[注册链接](https://share.302.ai/1KUpfG)
-
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--- a/app.go
+++ b/app.go
@@ -428,7 +428,8 @@ func (a *App) domReady(ctx context.Context) {
 			a.cronEntrys["MonitorStockPrices"] = id
 		}
 		entryID, err := a.cron.AddFunc(fmt.Sprintf("@every %ds", interval+10), func() {
-			news := data.NewMarketNewsApi().GetNewTelegraph(30)
+			//news := data.NewMarketNewsApi().GetNewTelegraph(30)
+			news := data.NewMarketNewsApi().TelegraphList(30)
 			if config.EnablePushNews {
 				go a.NewsPush(news)
 			}
@@ -564,65 +565,84 @@ func (a *App) CheckStockBaseInfo(ctx context.Context) {
 		SetResult(stockBasics).
 		Get("http://8.134.249.145:18080/go-stock/stock_basic.json")

-	count := int64(0)
-	db.Dao.Model(&data.StockBasic{}).Count(&count)
-	if count == int64(len(*stockBasics)) {
-		return
-	}
-	for _, stock := range *stockBasics {
-		stockInfo := &data.StockBasic{
-			TsCode: stock.TsCode,
-			Name:   stock.Name,
-			Symbol: stock.Symbol,
-			BKCode: stock.BKCode,
-			BKName: stock.BKName,
-		}
-		db.Dao.Model(&data.StockBasic{}).Where("ts_code = ?", stock.TsCode).First(stockInfo)
-		if stockInfo.ID == 0 {
-			db.Dao.Model(&data.StockBasic{}).Create(stockInfo)
-		} else {
-			db.Dao.Model(&data.StockBasic{}).Where("ts_code = ?", stock.TsCode).Updates(stockInfo)
-		}
+	db.Dao.Unscoped().Model(&data.StockBasic{}).Where("1=1").Delete(&data.StockBasic{})
+	err := db.Dao.CreateInBatches(stockBasics, 400).Error
+	if err != nil {
+		logger.SugaredLogger.Errorf("保存StockBasic股票基础信息失败:%s", err.Error())
 	}

+	//count := int64(0)
+	//db.Dao.Model(&data.StockBasic{}).Count(&count)
+	//if count == int64(len(*stockBasics)) {
+	//	return
+	//}
+	//for _, stock := range *stockBasics {
+	//	stockInfo := &data.StockBasic{
+	//		TsCode: stock.TsCode,
+	//		Name:   stock.Name,
+	//		Symbol: stock.Symbol,
+	//		BKCode: stock.BKCode,
+	//		BKName: stock.BKName,
+	//	}
+	//	db.Dao.Model(&data.StockBasic{}).Where("ts_code = ?", stock.TsCode).First(stockInfo)
+	//	if stockInfo.ID == 0 {
+	//		db.Dao.Model(&data.StockBasic{}).Create(stockInfo)
+	//	} else {
+	//		db.Dao.Model(&data.StockBasic{}).Where("ts_code = ?", stock.TsCode).Updates(stockInfo)
+	//	}
+	//}
+
 	stockHKBasics := &[]models.StockInfoHK{}
 	resty.New().R().
 		SetHeader("user", "go-stock").
 		SetResult(stockHKBasics).
 		Get("http://8.134.249.145:18080/go-stock/stock_base_info_hk.json")
-	for _, stock := range *stockHKBasics {
-		stockInfo := &models.StockInfoHK{
-			Code:   stock.Code,
-			Name:   stock.Name,
-			BKName: stock.BKName,
-			BKCode: stock.BKCode,
-		}
-		db.Dao.Model(&models.StockInfoHK{}).Where("code = ?", stock.Code).First(stockInfo)
-		if stockInfo.ID == 0 {
-			db.Dao.Model(&models.StockInfoHK{}).Create(stockInfo)
-		} else {
-			db.Dao.Model(&models.StockInfoHK{}).Where("code = ?", stock.Code).Updates(stockInfo)
-		}
+
+	db.Dao.Unscoped().Model(&models.StockInfoHK{}).Where("1=1").Delete(&models.StockInfoHK{})
+	err = db.Dao.CreateInBatches(stockHKBasics, 400).Error
+	if err != nil {
+		logger.SugaredLogger.Errorf("保存StockInfoHK股票基础信息失败:%s", err.Error())
 	}
+
+	//for _, stock := range *stockHKBasics {
+	//	stockInfo := &models.StockInfoHK{
+	//		Code:   stock.Code,
+	//		Name:   stock.Name,
+	//		BKName: stock.BKName,
+	//		BKCode: stock.BKCode,
+	//	}
+	//	db.Dao.Model(&models.StockInfoHK{}).Where("code = ?", stock.Code).First(stockInfo)
+	//	if stockInfo.ID == 0 {
+	//		db.Dao.Model(&models.StockInfoHK{}).Create(stockInfo)
+	//	} else {
+	//		db.Dao.Model(&models.StockInfoHK{}).Where("code = ?", stock.Code).Updates(stockInfo)
+	//	}
+	//}
 	stockUSBasics := &[]models.StockInfoUS{}
 	resty.New().R().
 		SetHeader("user", "go-stock").
 		SetResult(stockUSBasics).
 		Get("http://8.134.249.145:18080/go-stock/stock_base_info_us.json")
-	for _, stock := range *stockUSBasics {
-		stockInfo := &models.StockInfoUS{
-			Code:   stock.Code,
-			Name:   stock.Name,
-			BKName: stock.BKName,
-			BKCode: stock.BKCode,
-		}
-		db.Dao.Model(&models.StockInfoUS{}).Where("code = ?", stock.Code).First(stockInfo)
-		if stockInfo.ID == 0 {
-			db.Dao.Model(&models.StockInfoUS{}).Create(stockInfo)
-		} else {
-			db.Dao.Model(&models.StockInfoUS{}).Where("code = ?", stock.Code).Updates(stockInfo)
-		}
+
+	db.Dao.Unscoped().Model(&models.StockInfoUS{}).Where("1=1").Delete(&models.StockInfoUS{})
+	err = db.Dao.CreateInBatches(stockUSBasics, 400).Error
+	if err != nil {
+		logger.SugaredLogger.Errorf("保存StockInfoUS股票基础信息失败:%s", err.Error())
 	}
+	//for _, stock := range *stockUSBasics {
+	//	stockInfo := &models.StockInfoUS{
+	//		Code:   stock.Code,
+	//		Name:   stock.Name,
+	//		BKName: stock.BKName,
+	//		BKCode: stock.BKCode,
+	//	}
+	//	db.Dao.Model(&models.StockInfoUS{}).Where("code = ?", stock.Code).First(stockInfo)
+	//	if stockInfo.ID == 0 {
+	//		db.Dao.Model(&models.StockInfoUS{}).Create(stockInfo)
+	//	} else {
+	//		db.Dao.Model(&models.StockInfoUS{}).Where("code = ?", stock.Code).Updates(stockInfo)
+	//	}
+	//}

 }
 func (a *App) NewsPush(news *[]models.Telegraph) {
@@ -1337,7 +1357,8 @@ func (a *App) GetTelegraphList(source string) *[]*models.Telegraph {
 }

 func (a *App) ReFleshTelegraphList(source string) *[]*models.Telegraph {
-	data.NewMarketNewsApi().GetNewTelegraph(30)
+	//data.NewMarketNewsApi().GetNewTelegraph(30)
+	data.NewMarketNewsApi().TelegraphList(30)
 	data.NewMarketNewsApi().GetSinaNews(30)
 	telegraphs := data.NewMarketNewsApi().GetTelegraphList(source)
 	return telegraphs
--- a/app_common.go
+++ b/app_common.go
@@ -1,10 +1,12 @@
 package main

 import (
-	"github.com/wailsapp/wails/v2/pkg/runtime"
 	"go-stock/backend/agent"
 	"go-stock/backend/data"
 	"go-stock/backend/models"
+	"strings"
+
+	"github.com/wailsapp/wails/v2/pkg/runtime"
 )

 // @Author spark
@@ -26,48 +28,66 @@ func (a *App) StockNotice(stockCode string) []any {
 func (a *App) IndustryResearchReport(industryCode string) []any {
 	return data.NewMarketNewsApi().IndustryResearchReport(industryCode, 7)
 }
-func (a App) EMDictCode(code string) []any {
+func (a *App) EMDictCode(code string) []any {
 	return data.NewMarketNewsApi().EMDictCode(code, a.cache)
 }

-func (a App) AnalyzeSentiment(text string) data.SentimentResult {
+func (a *App) AnalyzeSentiment(text string) data.SentimentResult {
 	return data.AnalyzeSentiment(text)
 }

-func (a App) HotStock(marketType string) *[]models.HotItem {
+func (a *App) HotStock(marketType string) *[]models.HotItem {
 	return data.NewMarketNewsApi().XUEQIUHotStock(100, marketType)
 }

-func (a App) HotEvent(size int) *[]models.HotEvent {
+func (a *App) HotEvent(size int) *[]models.HotEvent {
 	if size <= 0 {
 		size = 10
 	}
 	return data.NewMarketNewsApi().HotEvent(size)
 }
-func (a App) HotTopic(size int) []any {
+func (a *App) HotTopic(size int) []any {
 	if size <= 0 {
 		size = 10
 	}
 	return data.NewMarketNewsApi().HotTopic(size)
 }

-func (a App) InvestCalendarTimeLine(yearMonth string) []any {
+func (a *App) InvestCalendarTimeLine(yearMonth string) []any {
 	return data.NewMarketNewsApi().InvestCalendar(yearMonth)
 }
-func (a App) ClsCalendar() []any {
+func (a *App) ClsCalendar() []any {
 	return data.NewMarketNewsApi().ClsCalendar()
 }

-func (a App) SearchStock(words string) map[string]any {
+func (a *App) SearchStock(words string) map[string]any {
 	return data.NewSearchStockApi(words).SearchStock(5000)
 }
-func (a App) GetHotStrategy() map[string]any {
+func (a *App) GetHotStrategy() map[string]any {
 	return data.NewSearchStockApi("").HotStrategy()
 }

-func (a App) ChatWithAgent(question string, aiConfigId int, sysPromptId *int) {
+func (a *App) ChatWithAgent(question string, aiConfigId int, sysPromptId *int) {
 	ch := agent.NewStockAiAgentApi().Chat(question, aiConfigId, sysPromptId)
 	for msg := range ch {
 		runtime.EventsEmit(a.ctx, "agent-message", msg)
 	}
 }
+
+func (a *App) AnalyzeSentimentWithFreqWeight(text string) map[string]any {
+	if text == "" {
+		telegraphs := data.NewMarketNewsApi().GetNews24HoursList("财联社电报", 1000)
+		messageText := strings.Builder{}
+		for _, telegraph := range *telegraphs {
+			messageText.WriteString(telegraph.Content + "\n")
+		}
+		text = messageText.String()
+	}
+	result, frequencies := data.AnalyzeSentimentWithFreqWeight(text)
+	// 过滤标点符号和分隔符
+	cleanFrequencies := data.FilterAndSortWords(frequencies)
+	return map[string]any{
+		"result":      result,
+		"frequencies": cleanFrequencies,
+	}
+}
--- a/backend/agent/tools/choice_stock_by_indicators_tool.go
+++ b/backend/agent/tools/choice_stock_by_indicators_tool.go
@@ -4,11 +4,12 @@ import (
 	"context"
 	"encoding/json"
 	"fmt"
+	"go-stock/backend/data"
+
 	"github.com/cloudwego/eino/components/tool"
 	"github.com/cloudwego/eino/schema"
 	"github.com/duke-git/lancet/v2/convertor"
 	"github.com/duke-git/lancet/v2/random"
-	"go-stock/backend/data"
 )

 // @Author spark
@@ -55,7 +56,7 @@ func (c ChoiceStockByIndicators) InvokableRun(ctx context.Context, argumentsInJS
 	}
 	content := "无符合条件的数据"
 	words := parms["words"].(string)
-	res := data.NewSearchStockApi(words).SearchStock(random.RandInt(5, 10))
+	res := data.NewSearchStockApi(words).SearchStock(random.RandInt(5, 20))
 	if convertor.ToString(res["code"]) == "100" {
 		resData := res["data"].(map[string]any)
 		result := resData["result"].(map[string]any)
--- a/backend/data/data/dict/README.md
+++ b/backend/data/data/dict/README.md
@@ -0,0 +1 @@
+Some dict/zh data is from [github.com/fxsjy/jieba](https://github.com/fxsjy/jieba)
--- a/backend/data/data/dict/base.txt
+++ b/backend/data/data/dict/base.txt
--- a/backend/data/data/dict/en/dict.txt
+++ b/backend/data/data/dict/en/dict.txt
--- a/backend/data/data/dict/jp/README.md
+++ b/backend/data/data/dict/jp/README.md
@@ -0,0 +1 @@
+dict.txt 通过内部工具生成, Copyright 2017 ego authors. 商用和拷贝请注明来源和版权
--- a/backend/data/data/dict/jp/dict.txt
+++ b/backend/data/data/dict/jp/dict.txt
--- a/backend/data/data/dict/zh/idf.txt
+++ b/backend/data/data/dict/zh/idf.txt
--- a/backend/data/data/dict/zh/s_1.txt
+++ b/backend/data/data/dict/zh/s_1.txt
--- a/backend/data/data/dict/zh/stop_tokens.txt
+++ b/backend/data/data/dict/zh/stop_tokens.txt
--- a/backend/data/data/dict/zh/stop_word.txt
+++ b/backend/data/data/dict/zh/stop_word.txt
@@ -0,0 +1,88 @@
+,
+.
+?
+!
+"
+@
+，
+。
+、
+？
+！
+：
+“
+”
+；
+　
+（
+）
+《
+》
+~
+*
+<
+>
+/
+\
+|
+-
+_
+
+=
+&
+^
+%
+#
+`
+;
+$
+￥
+‘
+’
+〉
+〈
+…
+＞
+＜
+＠
+＃
+＄
+％
+︿
+＆
+＊
+＋
+～
+｜
+［
+］
+｛
+｝
+啊
+阿
+哎
+哎呀
+哎哟
+唉
+俺
+俺们
+按
+按照
+吧
+吧哒
+把
+罢了
+被
+本
+本着
+比
+比方
+比如
+鄙人
+彼
+彼此
+边
+别
+别的
+别说
+并
--- a/backend/data/data/dict/zh/t_1.txt
+++ b/backend/data/data/dict/zh/t_1.txt
--- a/backend/data/market_news_api.go
+++ b/backend/data/market_news_api.go
@@ -33,6 +33,73 @@ func NewMarketNewsApi() *MarketNewsApi {
 	return &MarketNewsApi{}
 }

+func (m MarketNewsApi) TelegraphList(crawlTimeOut int64) *[]models.Telegraph {
+	//https://www.cls.cn/nodeapi/telegraphList
+	url := "https://www.cls.cn/nodeapi/telegraphList"
+	res := map[string]any{}
+	_, _ = resty.New().SetTimeout(time.Duration(crawlTimeOut)*time.Second).R().
+		SetHeader("Referer", "https://www.cls.cn/").
+		SetHeader("User-Agent", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36 Edg/117.0.2045.60").
+		SetResult(&res).
+		Get(url)
+	var telegraphs []models.Telegraph
+
+	if v, _ := convertor.ToInt(res["error"]); v == 0 {
+		if res["data"] == nil {
+			return m.GetNewTelegraph(30)
+		}
+		data := res["data"].(map[string]any)
+		rollData := data["roll_data"].([]any)
+		for _, v := range rollData {
+			news := v.(map[string]any)
+			ctime, _ := convertor.ToInt(news["ctime"])
+			dataTime := time.Unix(ctime, 0)
+			logger.SugaredLogger.Debugf("dataTime: %s", dataTime)
+			telegraph := models.Telegraph{
+				Content:         news["content"].(string),
+				Time:            dataTime.Format("15:04:05"),
+				DataTime:        &dataTime,
+				Url:             news["shareurl"].(string),
+				Source:          "财联社电报",
+				IsRed:           GetLevel(news["level"].(string)),
+				SentimentResult: AnalyzeSentiment(news["content"].(string)).Description,
+			}
+			cnt := int64(0)
+			db.Dao.Model(telegraph).Where("time=? and content=?", telegraph.Time, telegraph.Content).Count(&cnt)
+			if cnt > 0 {
+				continue
+			}
+			telegraphs = append(telegraphs, telegraph)
+			db.Dao.Model(&models.Telegraph{}).Create(&telegraph)
+			logger.SugaredLogger.Debugf("telegraph: %+v", &telegraph)
+			if news["subjects"] == nil {
+				continue
+			}
+			subjects := news["subjects"].([]any)
+			for _, subject := range subjects {
+				name := subject.(map[string]any)["subject_name"].(string)
+				tag := &models.Tags{
+					Name: name,
+					Type: "subject",
+				}
+				db.Dao.Model(tag).Where("name=? and type=?", name, "subject").FirstOrCreate(&tag)
+				db.Dao.Model(models.TelegraphTags{}).Where("telegraph_id=? and tag_id=?", telegraph.ID, tag.ID).FirstOrCreate(&models.TelegraphTags{
+					TelegraphId: telegraph.ID,
+					TagId:       tag.ID,
+				})
+			}
+
+		}
+		//db.Dao.Model(&models.Telegraph{}).Create(&telegraphs)
+		//logger.SugaredLogger.Debugf("telegraphs: %+v", &telegraphs)
+	}
+
+	return &telegraphs
+}
+func GetLevel(s string) bool {
+	return s > "C"
+}
+
 func (m MarketNewsApi) GetNewTelegraph(crawlTimeOut int64) *[]models.Telegraph {
 	url := "https://www.cls.cn/telegraph"
 	response, _ := resty.New().SetTimeout(time.Duration(crawlTimeOut)*time.Second).R().
@@ -77,7 +144,7 @@ func (m MarketNewsApi) GetNewTelegraph(crawlTimeOut int64) *[]models.Telegraph {
 		if telegraph.Content != "" {
 			telegraph.SentimentResult = AnalyzeSentiment(telegraph.Content).Description
 			cnt := int64(0)
-			db.Dao.Model(telegraph).Where("time=? and source=?", telegraph.Time, telegraph.Source).Count(&cnt)
+			db.Dao.Model(telegraph).Where("time=? and content=?", telegraph.Time, telegraph.Content).Count(&cnt)
 			if cnt == 0 {
 				db.Dao.Create(&telegraph)
 				telegraphs = append(telegraphs, telegraph)
@@ -118,6 +185,7 @@ func (m MarketNewsApi) GetNewsList(source string, limit int) *[]*models.Telegrap
 	return news
 }
 func (m MarketNewsApi) GetNewsList2(source string, limit int) *[]*models.Telegraph {
+	NewMarketNewsApi().TelegraphList(30)
 	news := &[]*models.Telegraph{}
 	if source != "" {
 		db.Dao.Model(news).Preload("TelegraphTags").Where("source=?", source).Order("id desc,is_red desc").Limit(limit).Find(news)
@@ -959,3 +1027,33 @@ func (m MarketNewsApi) CailianpressWeb(searchWords string) *models.CailianpressW

 	return res
 }
+
+func (m MarketNewsApi) GetNews24HoursList(source string, limit int) *[]*models.Telegraph {
+	news := &[]*models.Telegraph{}
+	if source != "" {
+		db.Dao.Model(news).Preload("TelegraphTags").Where("source=? and created_at>?", source, time.Now().Add(-24*time.Hour)).Order("id desc,is_red desc").Limit(limit).Find(news)
+	} else {
+		db.Dao.Model(news).Preload("TelegraphTags").Where("created_at>?", time.Now().Add(-24*time.Hour)).Order("id desc,is_red desc").Limit(limit).Find(news)
+	}
+	// 内容去重
+	uniqueNews := make([]*models.Telegraph, 0)
+	seenContent := make(map[string]bool)
+	for _, item := range *news {
+		tags := &[]models.Tags{}
+		db.Dao.Model(&models.Tags{}).Where("id in ?", lo.Map(item.TelegraphTags, func(item models.TelegraphTags, index int) uint {
+			return item.TagId
+		})).Find(&tags)
+		tagNames := lo.Map(*tags, func(item models.Tags, index int) string {
+			return item.Name
+		})
+		item.SubjectTags = tagNames
+		//logger.SugaredLogger.Infof("tagNames %v ，SubjectTags：%s", tagNames, item.SubjectTags)
+		// 使用内容作为去重键值，可以考虑只使用内容的前几个字符或哈希值
+		contentKey := strings.TrimSpace(item.Content)
+		if contentKey != "" && !seenContent[contentKey] {
+			seenContent[contentKey] = true
+			uniqueNews = append(uniqueNews, item)
+		}
+	}
+	return &uniqueNews
+}
--- a/backend/data/market_news_api_test.go
+++ b/backend/data/market_news_api_test.go
@@ -10,6 +10,7 @@ import (
 	"testing"

 	"github.com/coocood/freecache"
+	"github.com/duke-git/lancet/v2/random"
 	"github.com/tidwall/gjson"
 )

@@ -38,7 +39,6 @@ func TestGetIndustryRank(t *testing.T) {
 	res := NewMarketNewsApi().GetIndustryRank("0", 10)
 	for s, a := range res["data"].([]any) {
 		logger.SugaredLogger.Debugf("key: %+v, value: %+v", s, a)
-
 	}
 }
 func TestGetIndustryMoneyRankSina(t *testing.T) {
@@ -234,3 +234,18 @@ func TestInteractiveAnswer(t *testing.T) {
 	logger.SugaredLogger.Debugf(md)

 }
+func TestGetNewsList2(t *testing.T) {
+	db.Init("../../data/stock.db")
+	news := NewMarketNewsApi().GetNewsList2("财联社电报", random.RandInt(100, 500))
+	messageText := strings.Builder{}
+	for _, telegraph := range *news {
+		messageText.WriteString("## " + telegraph.Time + ":" + "\n")
+		messageText.WriteString("### " + telegraph.Content + "\n")
+	}
+	logger.SugaredLogger.Debugf("value: %s", messageText.String())
+}
+
+func TestTelegraphList(t *testing.T) {
+	db.Init("../../data/stock.db")
+	NewMarketNewsApi().TelegraphList(30)
+}
--- a/backend/data/openai_api.go
+++ b/backend/data/openai_api.go
@@ -323,7 +323,6 @@ func (o *OpenAi) NewSummaryStockNewsStreamWithTools(userQuestion string, sysProm
 			})
 		}()
 		wg.Wait()
-
 		news := NewMarketNewsApi().GetNewsList2("财联社电报", random.RandInt(100, 500))
 		messageText := strings.Builder{}
 		for _, telegraph := range *news {
@@ -1155,7 +1154,7 @@ func AskAiWithTools(o *OpenAi, err error, messages []map[string]interface{}, ch
 								}

 								content := "无符合条件的数据"
-								res := NewSearchStockApi(words).SearchStock(random.RandInt(5, 10))
+								res := NewSearchStockApi(words).SearchStock(random.RandInt(5, 20))
 								if convertor.ToString(res["code"]) == "100" {
 									resData := res["data"].(map[string]any)
 									result := resData["result"].(map[string]any)
--- a/backend/data/search_stock_api.go
+++ b/backend/data/search_stock_api.go
@@ -3,9 +3,10 @@ package data
 import (
 	"encoding/json"
 	"fmt"
-	"github.com/go-resty/resty/v2"
 	"go-stock/backend/logger"
 	"time"
+
+	"github.com/go-resty/resty/v2"
 )

 // @Author spark
@@ -25,25 +26,25 @@ func (s SearchStockApi) SearchStock(pageSize int) map[string]any {
 		SetHeader("Host", "np-tjxg-g.eastmoney.com").
 		SetHeader("Origin", "https://xuangu.eastmoney.com").
 		SetHeader("Referer", "https://xuangu.eastmoney.com/").
-		SetHeader("User-Agent", "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:140.0) Gecko/20100101 Firefox/140.0").
+		SetHeader("User-Agent", "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:145.0) Gecko/20100101 Firefox/145.0").
 		SetHeader("Content-Type", "application/json").
 		SetBody(fmt.Sprintf(`{
 				"keyWord": "%s",
 				"pageSize": %d,
 				"pageNo": 1,
-				"fingerprint": "e38b5faabf9378c8238e57219f0ebc9b",
+				"fingerprint": "02efa8944b1f90fbfe050e1e695a480d",
 				"gids": [],
 				"matchWord": "",
-				"timestamp": "1751113883290349",
+				"timestamp": "%d",
 				"shareToGuba": false,
-				"requestId": "8xTWgCDAjvQ5lmvz5mDA3Ydk2AE4yoiJ1751113883290",
+				"requestId": "RMd3Y76AJI98axPvdhdbKvbBDVwLlUK61761559950168",
 				"needCorrect": true,
 				"removedConditionIdList": [],
-				"xcId": "xc0af28549ab330013ed",
+				"xcId": "xc0d61279aad33008260",
 				"ownSelectAll": false,
 				"dxInfo": [],
 				"extraCondition": ""
-				}`, s.words, pageSize)).Post(url)
+				}`, s.words, pageSize, time.Now().Unix())).Post(url)
 	if err != nil {
 		logger.SugaredLogger.Errorf("SearchStock-err:%+v", err)
 		return map[string]any{}
--- a/backend/data/search_stock_api_test.go
+++ b/backend/data/search_stock_api_test.go
@@ -2,16 +2,18 @@ package data

 import (
 	"encoding/json"
-	"github.com/duke-git/lancet/v2/convertor"
 	"go-stock/backend/db"
 	"go-stock/backend/logger"
 	"testing"
+
+	"github.com/duke-git/lancet/v2/convertor"
 )

 func TestSearchStock(t *testing.T) {
 	db.Init("../../data/stock.db")

-	res := NewSearchStockApi("算力股;净利润连续3年增长").SearchStock(10)
+	res := NewSearchStockApi("量比大于2，基本面优秀，2025年三季报已披露，主力连续3日净流入，非创业板非科创板非ST").SearchStock(20)
+	logger.SugaredLogger.Infof("res:%+v", res)
 	data := res["data"].(map[string]any)
 	result := data["result"].(map[string]any)
 	dataList := result["dataList"].([]any)
--- a/backend/data/settings_api.go
+++ b/backend/data/settings_api.go
@@ -3,11 +3,12 @@ package data
 import (
 	"encoding/json"
 	"errors"
-	"github.com/samber/lo"
 	"go-stock/backend/db"
 	"go-stock/backend/logger"
-	"gorm.io/gorm"
 	"time"
+
+	"github.com/samber/lo"
+	"gorm.io/gorm"
 )

 type Settings struct {
@@ -35,6 +36,7 @@ type Settings struct {
 	SponsorCode            string `json:"sponsorCode"`
 	HttpProxy              string `json:"httpProxy"`
 	HttpProxyEnabled       bool   `json:"httpProxyEnabled"`
+	EnableAgent            bool   `json:"enableAgent"`
 }

 func (receiver Settings) TableName() string {
@@ -105,6 +107,7 @@ func UpdateConfig(s *SettingConfig) string {
 			"sponsor_code":               s.SponsorCode,
 			"http_proxy":                 s.HttpProxy,
 			"http_proxy_enabled":         s.HttpProxyEnabled,
+			"enable_agent":               s.EnableAgent,
 		})

 		//更新AiConfig
--- a/backend/data/stock_data_api.go
+++ b/backend/data/stock_data_api.go
@@ -9,6 +9,14 @@ import (
 	"context"
 	"encoding/json"
 	"fmt"
+	"go-stock/backend/db"
+	"go-stock/backend/logger"
+	"go-stock/backend/models"
+	"io"
+	"io/ioutil"
+	"strings"
+	"time"
+
 	"github.com/PuerkitoBio/goquery"
 	"github.com/chromedp/chromedp"
 	"github.com/duke-git/lancet/v2/convertor"
@@ -17,17 +25,10 @@ import (
 	"github.com/go-resty/resty/v2"
 	"github.com/robertkrimen/otto"
 	"github.com/samber/lo"
-	"go-stock/backend/db"
-	"go-stock/backend/logger"
-	"go-stock/backend/models"
 	"golang.org/x/text/encoding/simplifiedchinese"
 	"golang.org/x/text/transform"
 	"gorm.io/gorm"
 	"gorm.io/plugin/soft_delete"
-	"io"
-	"io/ioutil"
-	"strings"
-	"time"
 )

 const sinaStockUrl = "http://hq.sinajs.cn/rn=%d&list=%s"
@@ -1744,6 +1745,11 @@ func (receiver StockDataApi) GetCommonKLineData(stockCode string, kLineType stri
 	return K
 }

+// GetStockHistoryMoneyData 获取股票历史资金流向数据
+func (receiver StockDataApi) GetStockHistoryMoneyData() {
+
+}
+
 // JSONToMarkdownTable 将JSON数据转换为Markdown表格
 func JSONToMarkdownTable(jsonData []byte) (string, error) {
 	var data []map[string]interface{}
--- a/backend/data/stock_data_api_test.go
+++ b/backend/data/stock_data_api_test.go
@@ -265,3 +265,20 @@ func TestStockDataApi_GetIndexBasic(t *testing.T) {
 	stockDataApi := NewStockDataApi()
 	stockDataApi.GetIndexBasic()
 }
+
+func TestName(t *testing.T) {
+	db.Init("../../data/stock.db")
+
+	stockBasics := &[]StockBasic{}
+	resty.New().R().
+		SetHeader("user", "go-stock").
+		SetResult(stockBasics).
+		Get("http://8.134.249.145:18080/go-stock/stock_basic.json")
+
+	db.Dao.Unscoped().Model(&StockBasic{}).Where("1=1").Delete(&StockBasic{})
+	err := db.Dao.CreateInBatches(stockBasics, 400).Error
+	if err != nil {
+		t.Log(err.Error())
+	}
+
+}
--- a/backend/data/stock_sentiment_analysis.go
+++ b/backend/data/stock_sentiment_analysis.go
@@ -2,11 +2,19 @@ package data

 import (
 	"bufio"
+	_ "embed"
 	"fmt"
+	"go-stock/backend/db"
 	"go-stock/backend/logger"
+	"go-stock/backend/models"
 	"os"
+	"regexp"
+	"sort"
 	"strings"
+	"unicode"

+	"github.com/duke-git/lancet/v2/fileutil"
+	"github.com/duke-git/lancet/v2/strutil"
 	"github.com/go-ego/gse"
 )

@@ -16,7 +24,7 @@ var (

 	// 正面金融词汇及其权重
 	positiveFinanceWords = map[string]float64{
-		"上涨": 2.0, "涨停": 3.0, "牛市": 3.0, "反弹": 2.0, "新高": 2.5,
+		"涨": 1.0, "上涨": 2.0, "涨停": 3.0, "牛市": 3.0, "反弹": 2.0, "新高": 2.5,
 		"利好": 2.5, "增持": 2.0, "买入": 2.0, "推荐": 1.5, "看多": 2.0,
 		"盈利": 2.0, "增长": 2.0, "超预期": 2.5, "强劲": 1.5, "回升": 1.5,
 		"复苏": 2.0, "突破": 2.0, "创新高": 3.0, "回暖": 1.5, "上扬": 1.5,
@@ -27,13 +35,13 @@ var (

 	// 负面金融词汇及其权重
 	negativeFinanceWords = map[string]float64{
-		"下跌": 2.0, "跌停": 3.0, "熊市": 3.0, "回调": 1.5, "新低": 2.5,
+		"跌": 1.0, "下跌": 2.0, "跌停": 3.0, "熊市": 3.0, "回调": 1.5, "新低": 2.5,
 		"利空": 2.5, "减持": 2.0, "卖出": 2.0, "看空": 2.0, "亏损": 2.5,
 		"下滑": 2.0, "萎缩": 2.0, "不及预期": 2.5, "疲软": 1.5, "恶化": 2.0,
 		"衰退": 2.0, "跌破": 2.0, "创新低": 3.0, "走弱": 1.5, "下挫": 1.5,
 		"利空消息": 3.0, "收益下降": 2.5, "利润下滑": 2.5, "业绩不佳": 2.5,
 		"垃圾股": 2.0, "风险股": 2.0, "弱势": 1.5, "走低": 1.5, "缩量": 2.5,
-		"大跌": 2.5, "暴跌": 3.0, "崩盘": 3.0, "跳水": 3.0, "重挫": 3.0,
+		"大跌": 2.5, "暴跌": 3.0, "崩盘": 3.0, "跳水": 3.0, "重挫": 3.0, "跌超": 2.5, "跌逾": 2.5,
 	}

 	// 否定词，用于反转情感极性
@@ -45,7 +53,7 @@ var (
 	degreeWords = map[string]float64{
 		"非常": 1.8, "极其": 2.2, "太": 1.8, "很": 1.5,
 		"比较": 0.8, "稍微": 0.6, "有点": 0.7, "显著": 1.5,
-		"大幅": 1.8, "急剧": 2.0, "轻微": 0.6, "小幅": 0.7,
+		"大幅": 1.8, "急剧": 2.0, "轻微": 0.6, "小幅": 0.7, "逾": 1.8,
 	}

 	// 转折词，用于识别情感转折
@@ -54,12 +62,206 @@ var (
 	}
 )

-func init() {
-	// 加载默认词典
-	err := seg.LoadDict()
+//go:embed data/dict/base.txt
+var baseDict string
+
+//go:embed data/dict/zh/s_1.txt
+var zhDict string
+
+func InitAnalyzeSentiment() {
+	logger.SugaredLogger.Infof("初始化词典库路径:%s", fileutil.CurrentPath())
+	//加载默认词典
+	err := seg.LoadDictEmbed(zhDict)
+	err = seg.LoadDictEmbed(baseDict)
 	if err != nil {
 		logger.SugaredLogger.Error(err.Error())
+	} else {
+		logger.SugaredLogger.Info("加载默认词典成功")
 	}
+	//加载用户自定义词典 先判断用户词典是否存在
+	if !fileutil.IsExist(fileutil.CurrentPath() + "/data/dict/user.txt") {
+		err = seg.LoadDictEmbed(fileutil.CurrentPath() + "/data/dict/user.txt")
+		if err != nil {
+			logger.SugaredLogger.Error(err.Error())
+		} else {
+			logger.SugaredLogger.Info("加载用户词典成功")
+		}
+	}
+
+	stocks := &[]StockBasic{}
+	db.Dao.Model(&StockBasic{}).Find(stocks)
+	for _, stock := range *stocks {
+		if strutil.Trim(stock.Name) == "" {
+			continue
+		}
+		err := seg.AddToken(stock.Name, 188888, "n")
+		if strutil.Trim(stock.BKName) != "" {
+			err = seg.AddToken(stock.BKName, 188888, "n")
+		}
+		if err != nil {
+			logger.SugaredLogger.Errorf("添加%s失败:%s", stock.Name, err.Error())
+		}
+	}
+	stockhks := &[]models.StockInfoHK{}
+	db.Dao.Model(&models.StockInfoHK{}).Find(stockhks)
+	for _, stock := range *stockhks {
+		if strutil.Trim(stock.Name) == "" {
+			continue
+		}
+		err := seg.AddToken(stock.Name, 188888, "n")
+		if strutil.Trim(stock.BKName) != "" {
+			err = seg.AddToken(stock.BKName, 188888, "n")
+		}
+		if err != nil {
+			logger.SugaredLogger.Errorf("添加%s失败:%s", stock.Name, err.Error())
+		}
+	}
+	//stockus := &[]models.StockInfoUS{}
+	//db.Dao.Model(&models.StockInfoUS{}).Where("trim(name) != ?", "").Find(stockus)
+	//for _, stock := range *stockus {
+	//	err := seg.AddToken(stock.Name, 500)
+	//	if err != nil {
+	//		logger.SugaredLogger.Errorf("添加%s失败:%s", stock.Name, err.Error())
+	//	}
+	//}
+	tags := &[]models.Tags{}
+	db.Dao.Model(&models.Tags{}).Find(tags)
+	for _, tag := range *tags {
+		err := seg.AddToken(tag.Name, 188888, "n")
+		if err != nil {
+			logger.SugaredLogger.Errorf("添加%s失败:%s", tag.Name, err.Error())
+		}
+	}
+
+	logger.SugaredLogger.Info("加载词典成功")
+}
+
+// WordFreqWithWeight 词频统计结果，包含权重信息
+type WordFreqWithWeight struct {
+	Word      string
+	Frequency int
+	Weight    float64
+}
+
+// getWordWeight 获取词汇权重
+func getWordWeight(word string) float64 {
+	// 从分词器获取词汇权重
+	freq, pos, _ := seg.Find(word)
+	if pos == "n" {
+		return freq
+	}
+	return 0
+}
+
+// SortByWeightAndFrequency 按权重和频次排序词频结果
+func SortByWeightAndFrequency(frequencies map[string]WordFreqWithWeight) []WordFreqWithWeight {
+	// 将map转换为slice以便排序
+	freqSlice := make([]WordFreqWithWeight, 0, len(frequencies))
+	for _, freq := range frequencies {
+		freqSlice = append(freqSlice, freq)
+	}
+
+	// 按权重降序排列，如果权重相同则按频次降序排列
+	sort.Slice(freqSlice, func(i, j int) bool {
+		if freqSlice[i].Weight != freqSlice[j].Weight {
+			return freqSlice[i].Weight > freqSlice[j].Weight // 权重高的排前面
+		}
+		return freqSlice[i].Frequency > freqSlice[j].Frequency // 权重相同时频次高的排前面
+	})
+
+	return freqSlice
+}
+
+// FilterAndSortWords 过滤标点符号并按权重频次排序
+func FilterAndSortWords(frequencies map[string]WordFreqWithWeight) []WordFreqWithWeight {
+	// 先过滤标点符号和分隔符
+	cleanFrequencies := FilterPunctuationAndSeparators(frequencies)
+
+	// 再按权重和频次排序
+	sortedFrequencies := SortByWeightAndFrequency(cleanFrequencies)
+
+	return sortedFrequencies
+}
+func FilterPunctuationAndSeparators(frequencies map[string]WordFreqWithWeight) map[string]WordFreqWithWeight {
+	filteredWords := make(map[string]WordFreqWithWeight)
+
+	for word, freqInfo := range frequencies {
+		// 过滤纯标点符号和分隔符
+		if !isPunctuationOrSeparator(word) {
+			filteredWords[word] = freqInfo
+		}
+	}
+	return filteredWords
+}
+
+// isPunctuationOrSeparator 判断是否为标点符号或分隔符
+func isPunctuationOrSeparator(word string) bool {
+	// 空字符串
+	if strings.TrimSpace(word) == "" {
+		return true
+	}
+
+	// 检查是否全部由标点符号组成
+	for _, r := range word {
+		if !unicode.IsPunct(r) && !unicode.IsSymbol(r) && !unicode.IsSpace(r) {
+			return false
+		}
+	}
+	return true
+}
+
+// FilterWithRegex 使用正则表达式过滤标点和特殊字符
+func FilterWithRegex(frequencies map[string]WordFreqWithWeight) map[string]WordFreqWithWeight {
+	filteredWords := make(map[string]WordFreqWithWeight)
+
+	// 匹配标点符号、特殊字符的正则表达式
+	punctuationRegex := regexp.MustCompile(`^[[:punct:][:space:]]+$`)
+
+	for word, freqInfo := range frequencies {
+		// 过滤纯标点符号
+		if !punctuationRegex.MatchString(word) && strings.TrimSpace(word) != "" {
+			filteredWords[word] = freqInfo
+		}
+	}
+	return filteredWords
+}
+
+// countWordFrequencyWithWeight 统计词频并包含权重信息
+func countWordFrequencyWithWeight(text string) map[string]WordFreqWithWeight {
+	words := splitWords(text)
+	freqMap := make(map[string]WordFreqWithWeight)
+
+	// 统计词频
+	wordCount := make(map[string]int)
+	for _, word := range words {
+		wordCount[word]++
+	}
+
+	// 构建包含权重的结果
+	for word, frequency := range wordCount {
+		weight := getWordWeight(word)
+		if weight > 100 {
+			freqMap[word] = WordFreqWithWeight{
+				Word:      word,
+				Frequency: frequency,
+				Weight:    weight,
+			}
+		}
+
+	}
+
+	return freqMap
+}
+
+// AnalyzeSentimentWithFreqWeight 带权重词频统计的情感分析
+func AnalyzeSentimentWithFreqWeight(text string) (SentimentResult, map[string]WordFreqWithWeight) {
+	// 原有情感分析逻辑
+	result := AnalyzeSentiment(text)
+
+	// 带权重的词频统计
+	frequencies := countWordFrequencyWithWeight(text)
+
+	return result, frequencies
 }

 // SentimentResult 情感分析结果类型
--- a/backend/data/stock_sentiment_analysis_test.go
+++ b/backend/data/stock_sentiment_analysis_test.go
@@ -2,6 +2,8 @@ package data

 import (
 	"fmt"
+	"go-stock/backend/db"
+	"go-stock/backend/logger"
 	"strings"
 	"testing"
 )
@@ -12,25 +14,33 @@ import (
 //-----------------------------------------------------------------------------------

 func TestAnalyzeSentiment(t *testing.T) {
-	// 分析情感
-	text := " 【调查：韩国近两成中小学生过度使用智能手机或互联网】财联社6月19日电，韩国女性家族部18日公布的一项年度调查结果显示，接受调查的韩国中小学生中，共计约17.3%、即超过21万人使用智能手机或互联网的程度达到了“危险水平”，这意味着他们因过度依赖智能手机或互联网而需要关注或干预，这一比例引人担忧。 (新华社)\n"
-	text = "消息人士称，联合利华（Unilever）正在为Graze零食品牌寻找买家。\n"
-	text = "【韩国未来5年将投入51万亿韩元发展文化产业】 据韩联社，韩国文化体育观光部（文体部）今后5年将投入51万亿韩元（约合人民币2667亿元）预算，落实总统李在明在竞选时期提出的“将韩国打造成全球五大文化强国之一”的承诺。\n"
-	//text = "【油气股持续拉升 国际实业午后涨停】财联社6月19日电，油气股午后持续拉升，国际实业、宝莫股份午后涨停，准油股份、山东墨龙。茂化实华此前涨停，通源石油、海默科技、贝肯能源、中曼石油、科力股份等多股涨超5%。\n"
-	//text = " 【三大指数均跌逾1% 下跌个股近4800只】财联社6月19日电，指数持续走弱，沪指下挫跌逾1.00%，深成指跌1.25%，创业板指跌1.39%。核聚变、风电、军工、食品消费等板块指数跌幅居前，沪深京三市下跌个股近4800只。\n"
-	text = "【银行理财首单网下打新落地】财联社6月20日电，记者从多渠道获悉，光大理财以申报价格17元参与信通电子网下打新，并成功入围有效报价，成为行业内首家参与网下打新的银行理财公司。光大理财工作人员向证券时报记者表示，本次光大理财是以其管理的混合类产品“阳光橙增盈绝对收益策略”参与了此次网下打新，该产品为光大理财“固收+”银行理财产品。资料显示，信通电子成立于1996年，核心产品包括输电线路智能巡检系统、变电站智能辅控系统、移动智能终端及其他产品。根据其招股说明书，信通电子2023、2024年营业收入分别较上年增长19.08%和7.97%，净利润分别较上年增长5.6%和15.11%。 (证券时报)"
-	text = " 【以军称拦截数枚伊朗导弹】财联社6月20日电，据央视新闻报道，以军在贝尔谢巴及周边区域拦截了数枚伊朗导弹，但仍有导弹或拦截残骸落地。以色列国防军发文表示，搜救队伍正在一处“空中物体落地”的所在区域开展工作，公众目前可以离开避难场所。伊朗方面对上述说法暂无回应。"

+	db.Init("../../data/stock.db")
+	InitAnalyzeSentiment()
+
+	messageText := strings.Builder{}
+	//news := NewMarketNewsApi().GetNewsList2("", random.RandInt(500, 1000))
+	//for _, telegraph := range *news {
+	//	messageText.WriteString(telegraph.Content + "\n")
+	//}
+
+	text := messageText.String()
+	text = " 【周六你需要知道的隔夜全球要闻：美联储鸽声重振 美股走势回稳】 1、纽约联储行长威廉姆斯表示，随着劳动力市场走软，美联储近期内仍有再次降息的空间。 2、美联储理事斯蒂芬·米兰表示，自上次联邦公开市场委员会（FOMC）会议以来的经济数据应“促使人们偏向鸽派立场”。 3、波士顿联邦储备银行行长柯林斯表示，由于通胀可能在一段时间内保持高位，维持利率不变“目前合适”。 4、据CME“美联储观察”，截至北京时间11月22日6时30分，美联储12月降息25个基点的概率为69.4%，维持利率不变的概率为30.6%。 5、美国劳工统计局表示，11月CPI报告将于12月18日发布，同时取消了10月CPI报告发布，表示无法追溯采集政府停摆期间未能收集的部分数据。 6、俄罗斯总统普京表示，已收到美提出解决俄乌冲突的计划，俄罗斯愿意进行和平谈判。美国总统特朗普表示，他认为27日是乌克兰接受美国支持的和平计划的最后期限。 7、美联储高官鸽派言论提振市场情绪，美股三大指数收盘集体上涨，道琼斯指数涨1.08%，标普500指数涨0.98%，纳斯达克综合指数涨0.88%。甲骨文跌超5%，英伟达跌超1%。纳指本周累计跌2.74%，标普500指数累跌1.95%，道指累跌1.91%。英伟达本周累跌5.9%。 8、热门中概股多数上涨，纳斯达克中国金龙指数收涨1.23%。蔚来涨超3%，哔哩哔哩、理想汽车涨超2%，京东、小鹏汽车涨超1%。 9、国际油价下跌，交易员评估乌克兰与俄罗斯可能达成和平协议的前景。WTI 1月期货下跌1.6%，结算价报每桶58.06美元，为过去五个交易日中第四次下跌。布伦特1月期货下跌1.3%，结算价报每桶62.56美元。 10、美联储延长压力测试改进方案征询期，为银行反馈提供更多时间。 11、由于美国人对个人财务状况的看法恶化，美国消费者信心在11月跌至接近纪录最低水平；密歇根大学数据显示，11月消费者信心指数降至51，10月为53.6。 12、日本央行政策委员会委员Kazuyuki Masu表示，日本央行接近作出加息决定。 13、穆迪将意大利信用评级从BAA3上调至BAA2，展望稳定。\n"
+
+	// 分析情感
 	words := splitWords(text)
 	fmt.Println(strings.Join(words, " "))
-
 	result := AnalyzeSentiment(text)
-
+	result, frequencies := AnalyzeSentimentWithFreqWeight(text)
+	// 过滤标点符号和分隔符
+	cleanFrequencies := FilterPunctuationAndSeparators(frequencies)
 	// 输出结果
-	fmt.Printf("情感分析结果: %s (得分: %.2f, 正面词:%d, 负面词:%d)\n",
+	logger.SugaredLogger.Infof("情感分析结果: %s (得分: %.2f, 正面词:%d, 负面词:%d)\n 词频统计结果: %v",
 		result.Description,
 		result.Score,
 		result.PositiveCount,
-		result.NegativeCount)
+		result.NegativeCount,
+		cleanFrequencies,
+	)

 }
--- a/backend/models/models.go
+++ b/backend/models/models.go
@@ -232,6 +232,7 @@ type Prompt struct {
 type Telegraph struct {
 	gorm.Model
 	Time            string          `json:"time"`
+	DataTime        *time.Time      `json:"dataTime"`
 	Content         string          `json:"content"`
 	SubjectTags     []string        `json:"subjects" gorm:"-:all"`
 	StocksTags      []string        `json:"stocks" gorm:"-:all"`
@@ -239,7 +240,7 @@ type Telegraph struct {
 	Url             string          `json:"url"`
 	Source          string          `json:"source"`
 	TelegraphTags   []TelegraphTags `json:"tags" gorm:"-:migration;foreignKey:TelegraphId"`
-	SentimentResult string          `json:"sentimentResult" gorm:"-:all"`
+	SentimentResult string          `json:"sentimentResult"`
 }
 type TelegraphTags struct {
 	gorm.Model
--- a/frontend/components.d.ts
+++ b/frontend/components.d.ts
@@ -11,6 +11,7 @@ declare module 'vue' {
    About: typeof import('./src/components/about.vue')['default']
    AgentChat: typeof import('./src/components/agent-chat.vue')['default']
    AgentChat_bk: typeof import('./src/components/agent-chat_bk.vue')['default']
+    AnalyzeMartket: typeof import('./src/components/AnalyzeMartket.vue')['default']
    ClsCalendarTimeLine: typeof import('./src/components/ClsCalendarTimeLine.vue')['default']
    EmbeddedUrl: typeof import('./src/components/EmbeddedUrl.vue')['default']
    Fund: typeof import('./src/components/fund.vue')['default']
--- a/frontend/src/App.vue
+++ b/frontend/src/App.vue
@@ -6,7 +6,8 @@ import {
  Quit,
  WindowFullscreen,
  WindowHide,
-  WindowUnfullscreen
+  WindowUnfullscreen,
+  WindowSetTitle
 } from '../wailsjs/runtime'
 import {h, onBeforeMount, onBeforeUnmount, onMounted, ref} from "vue";
 import {RouterLink, useRouter} from 'vue-router'
@@ -43,6 +44,7 @@ const loadingMsg = ref("加载数据中...")
 const enableNews = ref(false)
 const contentStyle = ref("")
 const enableFund = ref(false)
+const enableAgent = ref(false)
 const enableDarkTheme = ref(null)
 const content = ref('未经授权,禁止商业目的!\n\n数据来源于网络,仅供参考;投资有风险,入市需谨慎')
 const isFullscreen = ref(false)
@@ -440,6 +442,7 @@ const menuOptions = ref([
            {default: () => 'Ai智能体'}
        ),
    key: 'agent',
+    show:enableAgent.value,
    icon: renderIcon(Robot),
  },
  {
@@ -646,11 +649,15 @@ onBeforeMount(() => {
  GetConfig().then((res) => {
    //console.log(res)
    enableFund.value = res.enableFund
+    enableAgent.value = res.enableAgent

    menuOptions.value.filter((item) => {
      if (item.key === 'fund') {
        item.show = res.enableFund
      }
+      if (item.key === 'agent') {
+        item.show = res.enableAgent
+      }
    })

    if (res.darkTheme) {
@@ -662,12 +669,14 @@ onBeforeMount(() => {
 })

 onMounted(() => {
+  WindowSetTitle("go-stock：AI赋能股票分析✨  未经授权,禁止商业目的！ [数据来源于网络,仅供参考;投资有风险,入市需谨慎]")
  contentStyle.value = "max-height: calc(92vh);overflow: hidden"
  GetConfig().then((res) => {
    if (res.enableNews) {
      enableNews.value = true
    }
    enableFund.value = res.enableFund
+    enableAgent.value = res.enableAgent
    const {notification } =createDiscreteApi(["notification"], {
      configProviderProps: {
        theme: enableDarkTheme.value ? darkTheme : lightTheme ,
@@ -714,7 +723,7 @@ onMounted(() => {
        <n-modal-provider>
          <n-dialog-provider>
            <n-watermark
-                :content="content"
+                :content="''"
                cross
                selectable
                :font-size="16"
--- a/frontend/src/components/AnalyzeMartket.vue
+++ b/frontend/src/components/AnalyzeMartket.vue
@@ -0,0 +1,11 @@
+<script setup>
+
+</script>
+
+<template>
+
+</template>
+
+<style scoped>
+
+</style>
--- a/frontend/src/components/about.vue
+++ b/frontend/src/components/about.vue
@@ -5,7 +5,9 @@ import 'md-editor-v3/lib/preview.css';
 import {h, onBeforeUnmount, onMounted, ref} from 'vue';
 import {CheckUpdate, GetVersionInfo,GetSponsorInfo,OpenURL} from "../../wailsjs/go/main/App";
 import {EventsOff, EventsOn,Environment} from "../../wailsjs/runtime";
-import {NAvatar, NButton, useNotification} from "naive-ui";
+import {NAvatar, NButton, useNotification,NText} from "naive-ui";
+import { addMonths, format ,parse} from 'date-fns';
+import { zhCN } from 'date-fns/locale';
 const updateLog = ref('');
 const versionInfo = ref('');
 const icon = ref('https://raw.githubusercontent.com/ArvinLovegood/go-stock/master/build/appicon.png');
@@ -16,6 +18,7 @@ const notify = useNotification()
 const vipLevel=ref("");
 const vipStartTime=ref("");
 const vipEndTime=ref("");
+const expired=ref(false)

 onMounted(() => {
  document.title = '关于软件';
@@ -31,6 +34,13 @@ onMounted(() => {
      vipLevel.value = res.vipLevel;
      vipStartTime.value = res.vipStartTime;
      vipEndTime.value = res.vipEndTime;
+      //判断时间是否到期
+      if (res.vipLevel) {
+        if (res.vipEndTime < format(new Date(), 'yyyy-MM-dd HH:mm:ss')) {
+          notify.warning({content: 'VIP已到期'})
+          expired.value = true;
+        }
+      }
    })

  });
@@ -115,10 +125,10 @@ EventsOn("updateVersion",async (msg) => {
                <n-gradient-text type="info" :size="50" >go-stock</n-gradient-text>
              </n-badge>
              <n-badge v-if="vipLevel"  :value="versionInfo" :offset="[50,10]"  type="success">
-                <n-gradient-text type="warning" :size="50" >go-stock</n-gradient-text><n-tag :bordered="false" size="small" type="warning">VIP{{vipLevel}}</n-tag>
+                <n-gradient-text :type="expired?'error':'warning'" :size="50" >go-stock</n-gradient-text><n-tag :bordered="false" size="small" type="warning">VIP{{vipLevel}}</n-tag>
              </n-badge>
            </h1>
-            <n-gradient-text type="warning"  v-if="vipLevel" >vip到期时间：{{vipEndTime}}</n-gradient-text>
+            <n-gradient-text  :type="expired?'error':'warning'" v-if="vipLevel" >vip到期时间：{{vipEndTime}}</n-gradient-text>
            <n-button size="tiny" @click="CheckUpdate(1)"  type="info" tertiary >检查更新</n-button>
            <div style="justify-self: center;text-align: left" >
              <p>自选股行情实时监控，基于Wails和NaiveUI构建的AI赋能股票分析工具</p>
--- a/frontend/src/components/market.vue
+++ b/frontend/src/components/market.vue
@@ -1,5 +1,6 @@
 <script setup>
-import {computed, h, onBeforeMount, onBeforeUnmount, onMounted, ref} from 'vue'
+import * as echarts from "echarts";
+import {computed, h, onBeforeMount, onBeforeUnmount, onMounted,onUnmounted, ref} from 'vue'
 import {
  GetAIResponseResult,
  GetConfig,
@@ -12,7 +13,7 @@ import {
  SaveAsMarkdown,
  ShareAnalysis,
  SummaryStockNews,
-  GetAiConfigs
+  GetAiConfigs, AnalyzeSentimentWithFreqWeight
 } from "../../wailsjs/go/main/App";
 import {EventsOff, EventsOn} from "../../wailsjs/runtime";
 import NewsList from "./newsList.vue";
@@ -75,6 +76,8 @@ const indexInterval = ref(null)
 const indexIndustryRank = ref(null)
 const stockCode= ref('')
 const enableTools= ref(true)
+const treemapRef = ref(null);
+let treemapchart =null;

 function getIndex() {
  GlobalStockIndexes().then((res) => {
@@ -120,7 +123,13 @@ onBeforeMount(() => {
  indexIndustryRank.value = setInterval(() => {
    industryRank()
  }, 1000 * 10)
+
+
 })
+onMounted(() => {
+  Analyze() // 页面显示
+})
+

 onBeforeUnmount(() => {
  EventsOff("changeMarketTab")
@@ -131,8 +140,12 @@ onBeforeUnmount(() => {
  clearInterval(indexIndustryRank.value)
 })

+onUnmounted(() => {
+
+});
 EventsOn("changeMarketTab", async (msg) => {
  //message.info(msg.name)
+  console.log(msg.name)
  updateTab(msg.name)
 })

@@ -142,6 +155,7 @@ EventsOn("newTelegraph", (data) => {
      telegraphList.value.pop()
    }
    telegraphList.value.unshift(...data)
+    Analyze() // 页面显示
  }
 })
 EventsOn("newSinaNews", (data) => {
@@ -150,6 +164,7 @@ EventsOn("newSinaNews", (data) => {
    sinaNewsList.value.pop()
  }
  sinaNewsList.value.unshift(...data)
+    Analyze() // 页面显示
  }
 })

@@ -158,6 +173,32 @@ window.onresize = () => {
  panelHeight.value = window.innerHeight - 240
 }

+function Analyze(){
+  console.log("treemapchart:",treemapchart)
+  console.log("treemapRef:",treemapRef.value)
+  treemapchart = echarts.init(treemapRef.value);
+  treemapchart.showLoading()
+  AnalyzeSentimentWithFreqWeight("").then((res) => {
+
+    let option = {
+      legend: {
+        show: false
+      },
+      series: [
+        {
+          type: 'treemap',
+          data: res['frequencies'].slice(0, 20).map(item => ({
+            name: item.Word,
+            value: item.Frequency*item.Weight,
+          }))
+        }
+      ]
+    };
+    treemapchart.setOption(option);
+    treemapchart.hideLoading()
+  })
+}
+
 function getAreaName(code) {
  switch (code) {
    case "america":
@@ -232,6 +273,9 @@ function getAiSummary() {
 function updateTab(name) {
  summaryBTN.value = (name === "市场快讯");
  nowTab.value = name
+  if (name === "市场快讯") {
+    Analyze()
+  }
 }

 EventsOn("summaryStockNews", async (msg) => {
@@ -320,14 +364,22 @@ function ReFlesh(source) {
  <n-card>
    <n-tabs type="line" animated @update-value="updateTab" :value="nowTab" style="--wails-draggable:no-drag">
      <n-tab-pane name="市场快讯" tab="市场快讯">
-        <n-grid :cols="2" :y-gap="0">
+        <n-grid :cols="1" :y-gap="0">
          <n-gi>
-            <news-list :newsList="telegraphList" :header-title="'财联社电报'" @update:message="ReFlesh"></news-list>
+            <div  ref="treemapRef"  style="width: 100%;height: 300px;" ></div>
          </n-gi>
          <n-gi>
-            <news-list :newsList="sinaNewsList" :header-title="'新浪财经'" @update:message="ReFlesh"></news-list>
+            <n-grid :cols="2" :y-gap="0">
+              <n-gi>
+                <news-list :newsList="telegraphList" :header-title="'财联社电报'" @update:message="ReFlesh"></news-list>
+              </n-gi>
+              <n-gi>
+                <news-list :newsList="sinaNewsList" :header-title="'新浪财经'" @update:message="ReFlesh"></news-list>
+              </n-gi>
+            </n-grid>
          </n-gi>
        </n-grid>
+
      </n-tab-pane>
      <n-tab-pane name="全球股指" tab="全球股指">
        <n-tabs type="segment" animated>
--- a/frontend/src/components/newsList.vue
+++ b/frontend/src/components/newsList.vue
@@ -49,6 +49,9 @@ const updateMessage = () => {
            <n-text type="warning">查看原文</n-text>
          </a>
        </n-tag>
+        <n-tag v-if="item.sentimentResult" :bordered="false" :type="item.sentimentResult==='看涨'?'error':item.sentimentResult==='看跌'?'success':'info'" size="small">
+          {{ item.sentimentResult }}
+        </n-tag>
      </n-space>
    </n-list-item>
  </n-list>
--- a/frontend/src/components/settings.vue
+++ b/frontend/src/components/settings.vue
@@ -45,6 +45,7 @@ const formValue = ref({
  sponsorCode: "",
  httpProxy:"",
  httpProxyEnabled:false,
+  enableAgent: false,
 })

 // 添加一个新的AI配置到列表
@@ -103,6 +104,7 @@ onMounted(() => {
    formValue.value.sponsorCode = res.sponsorCode
    formValue.value.httpProxy=res.httpProxy;
    formValue.value.httpProxyEnabled=res.httpProxyEnabled;
+    formValue.value.enableAgent = res.enableAgent;

  })

@@ -142,6 +144,7 @@ function saveConfig() {
    sponsorCode: formValue.value.sponsorCode,
    httpProxy:formValue.value.httpProxy,
    httpProxyEnabled:formValue.value.httpProxyEnabled,
+    enableAgent: formValue.value.enableAgent,
  })

  if (config.sponsorCode) {
@@ -231,6 +234,7 @@ function importConfig() {
      formValue.value.sponsorCode = config.sponsorCode
      formValue.value.httpProxy=config.httpProxy
      formValue.value.httpProxyEnabled=config.httpProxyEnabled
+      formValue.value.enableAgent = config.enableAgent
    };
    reader.readAsText(file);
  };
@@ -321,6 +325,10 @@ function deletePrompt(ID) {
            <n-form-item-gi :span="3" label="指数基金：" path="enableFund">
              <n-switch v-model:value="formValue.enableFund"/>
            </n-form-item-gi>
+            <n-form-item-gi :span="3" label="AI智能体：" path="enableAgent">
+              <n-switch v-model:value="formValue.enableAgent"/>
+            </n-form-item-gi>
+
            <n-form-item-gi :span="11" label="赞助码：" path="sponsorCode">
              <n-input-group>
                <n-input :show-count="true" placeholder="赞助码" v-model:value="formValue.sponsorCode"/>
--- a/frontend/src/components/stockhotmap.vue
+++ b/frontend/src/components/stockhotmap.vue
@@ -9,18 +9,21 @@ import EmbeddedUrl from "./EmbeddedUrl.vue";
    <n-tab-pane name="选股通" tab="选股通">
      <embedded-url url="https://xuangutong.com.cn"  :height="'calc(100vh - 252px)'"/>
    </n-tab-pane>
-<!--    <n-tab-pane name="百度股市通" tab="百度股市通">-->
-<!--      <embedded-url url="https://gushitong.baidu.com"  :height="'calc(100vh - 252px)'"/>-->
-<!--    </n-tab-pane>-->
+    <n-tab-pane name="百度股市通" tab="百度股市通">
+      <embedded-url url="https://gushitong.baidu.com"  :height="'calc(100vh - 252px)'"/>
+    </n-tab-pane>
    <n-tab-pane name="东财大盘星图" tab="东财大盘星图">
      <embedded-url url="https://quote.eastmoney.com/stockhotmap/"  :height="'calc(100vh - 252px)'"/>
    </n-tab-pane>
    <n-tab-pane name="TopHub" tab="TopHub(今日热榜)">
      <embedded-url url="https://tophub.today/c/finance"  :height="'calc(100vh - 252px)'"/>
    </n-tab-pane>
-<!--    <n-tab-pane name="摸鱼" tab="摸鱼">-->
-<!--      <embedded-url url="https://996.ninja/"  :height="'calc(100vh - 252px)'"/>-->
-<!--    </n-tab-pane>-->
+    <n-tab-pane name="摸鱼" tab="摸鱼">
+      <embedded-url url="https://996.ninja/"  :height="'calc(100vh - 252px)'"/>
+    </n-tab-pane>
+    <n-tab-pane name="财联社-行情数据" tab="财联社-行情数据">
+      <embedded-url url="https://www.cls.cn/quotation"  :height="'calc(100vh - 252px)'"/>
+    </n-tab-pane>


    <n-tab-pane name="欢迎推荐更多有趣的财经网页" tab="欢迎推荐更多有趣的财经网页">
--- a/frontend/wailsjs/go/main/App.d.ts
+++ b/frontend/wailsjs/go/main/App.d.ts
@@ -14,6 +14,8 @@ export function AddStockGroup(arg1:number,arg2:string):Promise<string>;

 export function AnalyzeSentiment(arg1:string):Promise<data.SentimentResult>;

+export function AnalyzeSentimentWithFreqWeight(arg1:string):Promise<Record<string, any>>;
+
 export function ChatWithAgent(arg1:string,arg2:number,arg3:any):Promise<void>;

 export function CheckSponsorCode(arg1:string):Promise<Record<string, any>>;
--- a/frontend/wailsjs/go/main/App.js
+++ b/frontend/wailsjs/go/main/App.js
@@ -22,6 +22,10 @@ export function AnalyzeSentiment(arg1) {
  return window['go']['main']['App']['AnalyzeSentiment'](arg1);
 }

+export function AnalyzeSentimentWithFreqWeight(arg1) {
+  return window['go']['main']['App']['AnalyzeSentimentWithFreqWeight'](arg1);
+}
+
 export function ChatWithAgent(arg1, arg2, arg3) {
  return window['go']['main']['App']['ChatWithAgent'](arg1, arg2, arg3);
 }
--- a/frontend/wailsjs/go/models.ts
+++ b/frontend/wailsjs/go/models.ts
@@ -393,6 +393,7 @@ export namespace data {
 	    sponsorCode: string;
 	    httpProxy: string;
 	    httpProxyEnabled: boolean;
+	    enableAgent: boolean;
 	    aiConfigs: AIConfig[];
 	
 	    static createFrom(source: any = {}) {
@@ -428,6 +429,7 @@ export namespace data {
 	        this.sponsorCode = source["sponsorCode"];
 	        this.httpProxy = source["httpProxy"];
 	        this.httpProxyEnabled = source["httpProxyEnabled"];
+	        this.enableAgent = source["enableAgent"];
 	        this.aiConfigs = this.convertValues(source["aiConfigs"], AIConfig);
 	    }
 	
--- a/main.go
+++ b/main.go
@@ -60,6 +60,7 @@ var BuildKey string
 func main() {
 	checkDir("data")
 	db.Init("")
+	data.InitAnalyzeSentiment()
 	go AutoMigrate()

 	//db.Dao.Model(&data.Group{}).Where("id = ?", 0).FirstOrCreate(&data.Group{
Author	SHA1	Message	Date
ArvinLovegood	63d278b9aa	feat(stock):加载用户自定义词典进行情感分析(用户可以自己定义词典调整热词权重) - 在默认词典加载成功后，增加加载用户自定义词典逻辑 - 判断用户词典文件是否存在，避免加载空文件 - 记录用户词典加载成功或失败的日志信息 - 保持原有默认词典加载流程不变 - 确保词典加载错误不会中断程序运行 - 统一词典加载后的日志输出格式	2025-11-22 13:02:33 +08:00
ArvinLovegood	5621d40c71	feat(market):调整词频树图数据计算方式 - 将词频树图中的值计算方式从 Frequency 改为 Frequency * Weight - 更新 treemap 数据映射逻辑以反映新的权重计算 - 确保前端展示的数据更加准确地反映词汇的重要性	2025-11-22 12:58:41 +08:00
ArvinLovegood	26e9753b94	feat(data):添加十五五规划重点领域关键词到基础词典 - 新增涵盖七个大类的政策关键词汇 - 设置词汇权重范围为310-350，适配政策资讯分词场景 - 包含核心战略方向、科技创新与数字经济等领域术语 - 添加能源与绿色转型相关高频词汇 - 补充高端制造与新兴产业的专业表达 - 增加乡村振兴与农业现代化关键词 - 纳入对外开放与贸易升级术语 - 更新社会民生与公共服务领域用词	2025-11-22 12:55:11 +08:00
ArvinLovegood	b7f6dbd2da	feat(data):更新股票情感分析词典并优化测试代码 - 在 base.txt 中新增多个知名美股和中概股词汇，提升分词准确性 - 调整测试代码逻辑，移除随机新闻获取，使用固定文本进行情感分析验证 - 初始化数据库连接和情感分析模块，确保测试环境正常运行 - 添加详细的市场新闻示例文本，增强测试覆盖度和结果可靠性	2025-11-22 08:03:44 +08:00
ArvinLovegood	18dd01b613	feat(data):热词算法优化（最近24小时资讯+去重） - 新增 GetNews24HoursList 方法，用于获取最近24小时内的新闻数据 - 支持按来源筛选新闻，如“财联社电报” - 添加内容去重逻辑，避免重复新闻条目 - 自动加载新闻关联的标签信息，并构建主题标签字段 - 优化查询逻辑，提升数据获取效率与准确性	2025-11-22 07:48:00 +08:00
ArvinLovegood	81bb33a135	feat(sentiment):新增带频率权重的情感分析功能 - 新增 AnalyzeSentimentWithFreqWeight 方法，支持词频统计与权重分析 - 扩展前端组件 market.vue，集成词频热力图展示功能 - 更新后端词典库，新增 base.txt 金融专业词汇字典 - 引入 ECharts 实现词频 TreeMap 可视化展示 - 优化情感分析算法，增加对股票名称及行业标签的识别支持 - 完善词频过滤逻辑，去除标点符号与无效字符干扰 - 增加词典初始化方法 InitAnalyzeSentiment，提升分析准确性	2025-11-21 20:17:57 +08:00
ArvinLovegood	9926b61fac	fix(data): 调整新闻等级判断逻辑 - 修改 GetLevel 函数中的比较操作符，确保更准确的等级判定 - 将大于等于 "C" 的条件改为严格大于 "C"，以符合新的业务需求	2025-11-21 13:35:28 +08:00
ArvinLovegood	5e975b060c	fix(backend):偶尔修复闪退BUG - 添加空数据检查避免nil指针异常	2025-11-21 09:12:54 +08:00
ArvinLovegood	e8f063fd9b	feat(news):添加新闻情绪标签显示功能（情绪标签仅供参考） - 在新闻列表项中新增情绪标签展示 - 根据情绪结果动态设置标签颜色和文本 - 支持看涨、看跌和其他情绪状态的可视化呈现	2025-11-20 19:25:00 +08:00
ArvinLovegood	8b0b53fae7	refactor(data):重构股票数据获取与新闻电报处理逻辑 - 修改 TelegraphList 方法返回类型为 *[]models.Telegraph - 更新获取新闻电报的调用方式，替换原有接口方法 - 新增 Telegraph 数据创建及标签关联逻辑 - 调整股票基础信息更新策略，采用批量删除后插入 - 移除旧有的增量更新逻辑，提高数据同步效率 - 增加对 Telegraph 标签(subjects)的解析与存储支持 - 修正模型字段注解，移除无效的 gorm 标签配置 - 添加测试函数用于验证股票基础信息同步功能	2025-11-20 18:55:12 +08:00
ArvinLovegood	b29c380055	feat(backend):更新财联社电报爬取功能 - 实现 TelegraphList 方法用于获取财联社电报数据 - 添加 GetLevel 函数判断电报等级是否为重要 - 修改去重逻辑，使用 content 和 time作为唯一标识- 在模型中增加 DataTime 字段以支持时间查询 - 更新测试文件，新增对 TelegraphList 的测试用例- 调整 GetNewsList2 方法，触发 TelegraphList 爬取任务	2025-11-18 17:46:00 +08:00
ArvinLovegood	cf58a707c7	refactor(stock):重构股票数据接口并新增历史资金流向功能 - 调整 import 包顺序，优化代码结构 - 新增 GetStockHistoryMoneyData 方法用于获取历史资金流向 - 移除无用空行，提升代码可读性- 更新 README 文档中的大模型平台链接信息 - 删除测试文件中冗余的日志调试代码行	2025-11-16 11:17:45 +08:00
ArvinLovegood	1ae1bb0116	feat(vip):移除水印内容显示 - 更新窗口标题以包含授权声明 - 移除水印内容显示为空字符串	2025-10-31 18:37:26 +08:00
ArvinLovegood	d8971935ee	feat(settings):添加AI智能体功能开关(建议关闭，使用体验不理想) - 在设置界面新增AI智能体启用开关 - 支持保存和读取AI智能体启用状态 - 更新配置模型以支持新的启用选项 - 动态控制菜单项显示状态 - 同步前后端配置结构以支持新功能	2025-10-31 17:11:17 +08:00
ArvinLovegood	9c68458b81	feat(stockhotmap):添加财联社行情数据标签页 - 在 stockhotmap 组件中新增财联社-行情数据标签页 - 配置嵌入链接指向 https://www.cls.cn/quotation - 设置高度为 calc(100vh - 252px) 以适配页面布局	2025-10-31 16:54:05 +08:00
ArvinLovegood	b367d1eb40	feat(stockhotmap):启用百度股市通和摸鱼网页标签页 - 取消注释百度股市通标签页，恢复其功能 - 取消注释摸鱼标签页，恢复其功能 -保持其他标签页配置不变	2025-10-29 16:18:29 +08:00
ArvinLovegood	8fe79adbb1	feat(stock):增加股票搜索结果数量并优化搜索条件 - 将随机返回的股票数量从5-10支增加到5-20支 - 更新测试用例中的搜索关键词，提高筛选条件准确性 - 调整搜索逻辑以适应新的数据范围和质量要求	2025-10-29 16:13:30 +08:00
ArvinLovegood	1d81fdba87	chore(deps):指标选股问题 - 将 User-Agent 中的 Firefox 版本从 140.0 更新为 145.0	2025-10-27 18:16:25 +08:00
ArvinLovegood	6aca0e15cc	fix(backend): 指标选股问题 - 修改fingerprint和requestId为新的固定值 - 将timestamp设置为动态生成的时间戳 - 更新xcId为新的标识符 - 在测试中增加返回结果的日志输出	2025-10-27 18:15:02 +08:00
				`@@ -0,0 +1 @@`
				`Some dict/zh data is from [github.com/fxsjy/jieba](https://github.com/fxsjy/jieba)`
				`@@ -0,0 +1 @@`
				`dict.txt 通过内部工具生成, Copyright 2017 ego authors. 商用和拷贝请注明来源和版权`