feat(ai):新增AI思考模式与热门选股策略功能

- 在NewChatStream和SummaryStockNews接口中增加think参数以支持AI思考模式 - 更新前端组件market.vue和stock.vue，添加思考模式开关控件 - 升级github.com/cloudwego/eino依赖至v0.7.9版本 - 修改ToolFunction结构体，新增Strict字段并调整Parameters为指针类型 - 实现HotStrategyTable工具函数，用于获取并展示热门选股策略表格 - 优化市场新闻API中的去重逻辑，当标题为空时使用内容进行判重 - 在AI对话流中增加对reasoning_content的支持，提升推理过程可见性 - 完善AskAi和AskAiWithTools方法，支持传递thinkingMode参数控制模型推理行为 - 调整FunctionParameters结构体，新增AdditionalProperties字段以增强灵活性 - 修复测试文件中IndustryResearchReport调用参数及注释问题
refactor(data):重构情感分析与词频统计模块
2025-12-16 15:49:59 +08:00 · 2025-12-12 15:35:50 +08:00 · 2025-12-11 18:39:58 +08:00 · 2025-12-11 18:26:11 +08:00 · 2025-12-11 16:47:35 +08:00 · 2025-12-10 17:52:18 +08:00
37 changed files with 1969 additions and 595 deletions
--- a/README.md
+++ b/README.md
@@ -22,7 +22,7 @@
 - 开发环境主要基于Windows10+，其他平台未测试或功能受限。

 ### 📦 立即体验
- 安装版：[go-stock-amd64-installer.exe](https://github.com/ArvinLovegood/go-stock/releases)
+[//]: # (- 安装版：[go-stock-amd64-installer.exe]&#40;https://github.com/ArvinLovegood/go-stock/releases&#41;)
 - 绿色版：[go-stock-windows-amd64.exe](https://github.com/ArvinLovegood/go-stock/releases)
 - MACOS绿色版：[go-stock-darwin-universal](https://github.com/ArvinLovegood/go-stock/releases)

--- a/app.go
+++ b/app.go
@@ -62,7 +62,7 @@ func AddTools(tools []data.Tool) []data.Tool {
 		Function: data.ToolFunction{
 			Name:        "SearchStockByIndicators",
 			Description: "根据自然语言筛选股票，返回自然语言选股条件要求的股票所有相关数据。输入股票名称可以获取当前股票最新的股价交易数据和基础财务指标信息，多个股票名称使用,分隔。",
-			Parameters: data.FunctionParameters{
+			Parameters: &data.FunctionParameters{
 				Type: "object",
 				Properties: map[string]any{
 					"words": map[string]any{
@@ -88,7 +88,7 @@ func AddTools(tools []data.Tool) []data.Tool {
 		Function: data.ToolFunction{
 			Name:        "GetStockKLine",
 			Description: "获取股票日K线数据。",
-			Parameters: data.FunctionParameters{
+			Parameters: &data.FunctionParameters{
 				Type: "object",
 				Properties: map[string]any{
 					"days": map[string]any{
@@ -110,7 +110,7 @@ func AddTools(tools []data.Tool) []data.Tool {
 		Function: data.ToolFunction{
 			Name:        "InteractiveAnswer",
 			Description: "获取投资者与上市公司互动问答的数据,反映当前投资者关注的热点问题",
-			Parameters: data.FunctionParameters{
+			Parameters: &data.FunctionParameters{
 				Type: "object",
 				Properties: map[string]any{
 					"page": map[string]any{
@@ -161,8 +161,8 @@ func AddTools(tools []data.Tool) []data.Tool {
 		Type: "function",
 		Function: data.ToolFunction{
 			Name:        "GetStockResearchReport",
-			Description: "获取股票的分析/研究报告",
-			Parameters: data.FunctionParameters{
+			Description: "获取市场分析师的股票研究报告",
+			Parameters: &data.FunctionParameters{
 				Type: "object",
 				Properties: map[string]any{
 					"stockCode": map[string]any{
@@ -175,6 +175,14 @@ func AddTools(tools []data.Tool) []data.Tool {
 		},
 	})

+	tools = append(tools, data.Tool{
+		Type: "function",
+		Function: data.ToolFunction{
+			Name:        "HotStrategyTable",
+			Description: "获取当前热门选股策略",
+		},
+	})
+
 	return tools
 }

@@ -410,10 +418,18 @@ func (a *App) domReady(ctx context.Context) {
 	//定时更新数据
 	config := data.GetSettingConfig()
 	go func() {
+		go data.NewMarketNewsApi().TelegraphList(30)
+		go data.NewMarketNewsApi().GetSinaNews(30)
+		go data.NewMarketNewsApi().TradingViewNews()
+
 		interval := config.RefreshInterval
 		if interval <= 0 {
 			interval = 1
 		}
+		a.cron.AddFunc(fmt.Sprintf("@every %ds", interval+60), func() {
+			data.NewsAnalyze("", true)
+		})
+
 		//ticker := time.NewTicker(time.Second * time.Duration(interval))
 		//defer ticker.Stop()
 		//for range ticker.C {
@@ -453,6 +469,19 @@ func (a *App) domReady(ctx context.Context) {
 		} else {
 			a.cronEntrys["newSinaNews"] = entryIDSina
 		}
+
+		entryIDTradingViewNews, err := a.cron.AddFunc(fmt.Sprintf("@every %ds", interval+10), func() {
+			news := data.NewMarketNewsApi().TradingViewNews()
+			if config.EnablePushNews {
+				go a.NewsPush(news)
+			}
+			go runtime.EventsEmit(a.ctx, "tradingViewNews", news)
+		})
+		if err != nil {
+			logger.SugaredLogger.Errorf("AddFunc error:%s", err.Error())
+		} else {
+			a.cronEntrys["tradingViewNews"] = entryIDTradingViewNews
+		}
 	}()

 	//刷新基金净值信息
@@ -669,7 +698,7 @@ func (a *App) AddCronTask(follow data.FollowedStock) func() {
 	return func() {
 		go runtime.EventsEmit(a.ctx, "warnMsg", "开始自动分析"+follow.Name+"_"+follow.StockCode)
 		ai := data.NewDeepSeekOpenAi(a.ctx, follow.AiConfigId)
-		msgs := ai.NewChatStream(follow.Name, follow.StockCode, "", nil, a.AiTools)
+		msgs := ai.NewChatStream(follow.Name, follow.StockCode, "", nil, a.AiTools, true)
 		var res strings.Builder

 		chatId := ""
@@ -700,7 +729,7 @@ func refreshTelegraphList() *[]string {
 	response, err := resty.New().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").
-		Get(fmt.Sprintf(url))
+		Get(url)
 	if err != nil {
 		return &[]string{}
 	}
@@ -1034,12 +1063,12 @@ func (a *App) SendDingDingMessageByType(message string, stockCode string, msgTyp
 	return data.NewDingDingAPI().SendDingDingMessage(message)
 }

-func (a *App) NewChatStream(stock, stockCode, question string, aiConfigId int, sysPromptId *int, enableTools bool) {
+func (a *App) NewChatStream(stock, stockCode, question string, aiConfigId int, sysPromptId *int, enableTools bool, think bool) {
 	var msgs <-chan map[string]any
 	if enableTools {
-		msgs = data.NewDeepSeekOpenAi(a.ctx, aiConfigId).NewChatStream(stock, stockCode, question, sysPromptId, a.AiTools)
+		msgs = data.NewDeepSeekOpenAi(a.ctx, aiConfigId).NewChatStream(stock, stockCode, question, sysPromptId, a.AiTools, think)
 	} else {
-		msgs = data.NewDeepSeekOpenAi(a.ctx, aiConfigId).NewChatStream(stock, stockCode, question, sysPromptId, []data.Tool{})
+		msgs = data.NewDeepSeekOpenAi(a.ctx, aiConfigId).NewChatStream(stock, stockCode, question, sysPromptId, []data.Tool{}, think)
 	}
 	for msg := range msgs {
 		runtime.EventsEmit(a.ctx, "newChatStream", msg)
@@ -1358,8 +1387,9 @@ func (a *App) GetTelegraphList(source string) *[]*models.Telegraph {

 func (a *App) ReFleshTelegraphList(source string) *[]*models.Telegraph {
 	//data.NewMarketNewsApi().GetNewTelegraph(30)
-	data.NewMarketNewsApi().TelegraphList(30)
-	data.NewMarketNewsApi().GetSinaNews(30)
+	go data.NewMarketNewsApi().TelegraphList(30)
+	go data.NewMarketNewsApi().GetSinaNews(30)
+	go data.NewMarketNewsApi().TradingViewNews()
 	telegraphs := data.NewMarketNewsApi().GetTelegraphList(source)
 	return telegraphs
 }
@@ -1368,12 +1398,12 @@ func (a *App) GlobalStockIndexes() map[string]any {
 	return data.NewMarketNewsApi().GlobalStockIndexes(30)
 }

-func (a *App) SummaryStockNews(question string, aiConfigId int, sysPromptId *int, enableTools bool) {
+func (a *App) SummaryStockNews(question string, aiConfigId int, sysPromptId *int, enableTools bool, think bool) {
 	var msgs <-chan map[string]any
 	if enableTools {
-		msgs = data.NewDeepSeekOpenAi(a.ctx, aiConfigId).NewSummaryStockNewsStreamWithTools(question, sysPromptId, a.AiTools)
+		msgs = data.NewDeepSeekOpenAi(a.ctx, aiConfigId).NewSummaryStockNewsStreamWithTools(question, sysPromptId, a.AiTools, think)
 	} else {
-		msgs = data.NewDeepSeekOpenAi(a.ctx, aiConfigId).NewSummaryStockNewsStream(question, sysPromptId)
+		msgs = data.NewDeepSeekOpenAi(a.ctx, aiConfigId).NewSummaryStockNewsStream(question, sysPromptId, think)
 	}

 	for msg := range msgs {
--- a/app_common.go
+++ b/app_common.go
@@ -4,7 +4,6 @@ import (
 	"go-stock/backend/agent"
 	"go-stock/backend/data"
 	"go-stock/backend/models"
-	"strings"

 	"github.com/wailsapp/wails/v2/pkg/runtime"
 )
@@ -32,7 +31,7 @@ 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) models.SentimentResult {
 	return data.AnalyzeSentiment(text)
 }

@@ -75,17 +74,7 @@ func (a *App) ChatWithAgent(question string, aiConfigId int, sysPromptId *int) {
 }

 func (a *App) AnalyzeSentimentWithFreqWeight(text string) map[string]any {
-	if text == "" {
-		telegraphs := data.NewMarketNewsApi().GetNews24HoursList("", 1000*10)
-		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)
+	result, cleanFrequencies := data.NewsAnalyze(text, false)
 	return map[string]any{
 		"result":      result,
 		"frequencies": cleanFrequencies,
--- a/app_test.go
+++ b/app_test.go
@@ -8,6 +8,8 @@ import (
 	"go-stock/backend/models"
 	"testing"
 	"time"
+
+	"github.com/go-resty/resty/v2"
 )

 // @Author spark
@@ -45,3 +47,18 @@ func TestJson(t *testing.T) {
 	db.Dao.Model(v).Updates(v)

 }
+
+func TestUpdateCheck(t *testing.T) {
+	releaseVersion := &models.GitHubReleaseVersion{}
+	_, err := resty.New().R().
+		SetResult(releaseVersion).
+		SetHeader("Accept", "application/vnd.github+json").
+		SetHeader("X-GitHub-Api-Version", "2022-11-28").
+		Get("https://api.github.com/repos/ArvinLovegood/go-stock/releases/latest")
+	//  https://api.github.com/repos/OWNER/REPO/releases/latest
+	if err != nil {
+		logger.SugaredLogger.Errorf("get github release version error:%s", err.Error())
+		return
+	}
+	logger.SugaredLogger.Infof("releaseVersion:%+v", releaseVersion)
+}
--- a/backend/agent/tools/market_news_tool.go
+++ b/backend/agent/tools/market_news_tool.go
@@ -3,13 +3,14 @@ package tools
 import (
 	"context"
 	"encoding/json"
+	"go-stock/backend/data"
+	"go-stock/backend/logger"
+	"strings"
+
 	"github.com/cloudwego/eino/components/tool"
 	"github.com/cloudwego/eino/schema"
 	"github.com/duke-git/lancet/v2/random"
 	"github.com/tidwall/gjson"
-	"go-stock/backend/data"
-	"go-stock/backend/logger"
-	"strings"
 )

 // @Author spark
@@ -51,7 +52,7 @@ func (q QueryMarketNews) InvokableRun(ctx context.Context, argumentsInJSON strin
 		})
 	}

-	news := data.NewMarketNewsApi().GetNewsList("财联社电报", random.RandInt(100, 500))
+	news := data.NewMarketNewsApi().GetNewsList("", random.RandInt(100, 500))
 	messageText := strings.Builder{}
 	for _, telegraph := range *news {
 		messageText.WriteString("## " + telegraph.Time + ":" + "\n")
--- a/backend/data/data/dict/base.txt
+++ b/backend/data/data/dict/base.txt
@@ -1,6 +1,5 @@
 # 金融股票全场景分词字典（最终去重优化版）
 # 格式：单词 权重 词性 | 权重280-350分，核心术语优先匹配，无重复词汇
-# 覆盖：净买卖、股指、财务指标、交易操作、政策宏观、热点概念、机构媒体、美股中概股、十五五规划等全场景

 # 一、净买卖与资金流向（核心交易表述）
 净卖出 340 v
@@ -96,6 +95,7 @@
 操纵市场 300 n
 亏损 100 n
 加工 100 n
+
 # 三、全球主要股指（含中英文缩写）
 # 中国市场
 A股 350 n
@@ -117,63 +117,43 @@ A股 350 n
 科创50指数 330 n
 上证综指 350 n
 富时中国A50指数 340 n
-FTSE China A50 330 n
 恒生指数 340 n
-HSI 330 n
 恒生科技指数 340 n
 恒生国企指数 330 n
 H股指数 330 n
 # 美洲市场
 道琼斯工业平均指数 350 n
-DJIA 340 n
 标普500指数 350 n
-S&P 500 340 n
 纳斯达克综合指数 340 n
 纳斯达克100指数 340 n
-Nasdaq 100 330 n
 罗素2000指数 320 n
-Russell 2000 310 n
 标普400中型股指数 310 n
 标普600小型股指数 310 n
 纽约证交所综合指数 310 n
-NYSE Composite 300 n
 纳斯达克中国金龙指数 310 n
 # 欧洲市场
 德国DAX指数 330 n
-DAX 30 320 n
 法国CAC40指数 330 n
-CAC 40 320 n
 富时100指数 330 n
-FTSE 100 320 n
 欧元斯托克50指数 320 n
-Euro Stoxx 50 310 n
 英国富时250指数 310 n
-FTSE 250 300 n
 意大利富时MIB指数 310 n
-FTSE MIB 300 n
 西班牙IBEX 35指数 310 n
-IBEX 35 300 n
 # 亚太其他市场
 日经225指数 330 n
-Nikkei 225 320 n
 日经500指数 310 n
 韩国综合股价指数 320 n
 韩国kospi指数 320 n
 KOSPI 310 n
 澳洲标普200指数 310 n
-S&P/ASX 200 300 n
 印度孟买敏感指数 310 n
 Sensex 300 n
 印度Nifty 50指数 310 n
-Nifty 50 300 n
 # 全球综合指数
 MSCI指数 320 n
 MSCI全球指数 330 n
-MSCI World Index 320 n
 MSCI新兴市场指数 330 n
-MSCI Emerging Markets 320 n
 富时罗素全球指数 320 n
-FTSE Russell Global Index 310 n
 摩根大通全球债券指数 310 n
 全球股指 300 n
 发达市场指数 300 n
@@ -198,38 +178,7 @@ G20国家指数 300 n
 指数估值 310 n
 指数市盈率 310 n

-# 四、A股龙头公司（资讯高频）
-贵州茅台 310 n
-宁德时代 350 n
-比亚迪 340 n
-隆基绿能 300 n
-长江电力 290 n
-中国平安 300 n
-招商银行 300 n
-五粮液 290 n
-美的集团 290 n
-格力电器 290 n
-海康威视 290 n
-迈瑞医疗 290 n
-恒瑞医药 290 n
-中芯国际 300 n
-中兴通讯 290 n
-东方财富 290 n
-爱尔眼科 290 n
-通威股份 290 n
-药明康德 320 n
-阳光电源 290 n
-天齐锂业 290 n
-赣锋锂业 290 n
-中国中免 290 n
-海螺水泥 280 n
-万科A 280 n
-保利发展 280 n
-招商蛇口 280 n
-上汽集团 280 n
-宝钢股份 280 n
-
-# 五、财务与估值核心指标
+# 四、财务与估值核心指标
 市盈率 350 n
 PE 350 n
 动态市盈率 340 n
@@ -269,7 +218,7 @@ EPS 330 n
 量比 320 n
 振幅 320 n

-# 六、政策与宏观经济
+# 五、政策与宏观经济
 货币政策 330 n
 财政政策 330 n
 稳健货币政策 320 n
@@ -307,7 +256,7 @@ PMI 330 n
 黄金价格 310 n
 有色金属价格 300 n

-# 七、金融产品与机构
+# 六、金融产品与机构
 股票 320 n
 基金 320 n
 公募基金 310 n
@@ -351,7 +300,7 @@ QFII 300 n
 RQFII 290 n
 北向资金机构 300 n

-# 八、热点概念与行业
+# 七、热点概念与行业
 AI 330 n
 人工智能 350 n
 算力 330 n
@@ -395,7 +344,7 @@ CXO 300 n
 5G 300 n
 6G 340 n

-# 九、交易操作与行情
+# 八、交易操作与行情
 上涨 310 v
 下跌 310 v
 涨停 310 v
@@ -473,7 +422,7 @@ CXO 300 n
 震荡上行 320 v
 震荡下行 320 v

-# 十、委托交易与规则
+# 九、委托交易与规则
 限价委托 340 n
 市价委托 340 n
 止损委托 330 n
--- a/backend/data/data/dict/user.txt
+++ b/backend/data/data/dict/user.txt
@@ -1,26 +1,185 @@
-公司 0.1 n
-国家 0.1 n
-国际 0.1 n
-会议 0.1 n
-市场 0.1 n
-经济 0.1 n
-技术 0.1 n
-记者 0.1 n
-时间 0.1 n
-项目 0.1 n
-问题 0.1 n
-企业 0.1 n
-财联社 0.1 n
-上涨 0.1 v
-下跌 0.1 v
-期货  0.1 n
-跌幅 0.1 n
-跌超 0.1 adj
-股票 0.1 n
+# 补充：热点概念与板块（Jieba/gse兼容格式）
+# 权重说明：核心热点500-700分，事件类400分，负权重词汇按需求保留
+
+# 一、负权重低优先级词汇（减少无差别匹配干扰）
+公司 -0.1 n
+国家 -0.1 n
+国际 -0.1 n
+会议 -0.1 n
+市场 -0.1 n
+经济 -0.1 n
+技术 -0.1 n
+记者 -0.1 n
+时间 -0.1 n
+项目 -0.1 n
+问题 -0.1 n
+企业 -0.1 n
+财联社 -0.1 n
+上涨 -0.1 v
+下跌 -0.1 v
+期货 -0.1 n
+跌幅 -0.1 n
+跌超 -0.1 adj
+股票 -0.1 n
+基金 -0.1 n
+电讯 -0.1 n
+建筑 -0.1 n
+平开 -0.1 n
+保险 -0.1 n
+行业 -0.1 n
+其他 -0.1 n
+
+# 二、核心热点概念（700分，最高优先级）
+比特币 700 n
+摩尔线程 700 n
+摩尔线程概念 700 n
+AI算力 700 n
+生成式AI 700 n
+量子计算 700 n
+脑机接口 700 n
+6G通信 700 n
+人形机器人 700 n
+固态电池 700 n
+ChatGPT概念 700 n
+Web3.0 700 n
+元宇宙 700 n
+数字孪生 700 n
+量子通信 700 n
+
+# 三、重点赛道板块（500分，高优先级）
 冰雪旅游 500 n
 特高压 500 n
 跨境电商 500 n
-俄乌冲突 400 n
 新能源汽车 500 n
 机器人 500 n
-具身智能 500 n
+具身智能 500 n
+油气 500 n
+商业航天 500 n
+光伏储能 500 n
+锂电材料 500 n
+半导体设备 500 n
+集成电路 500 n
+创新药 500 n
+CXO 500 n
+医疗器械 500 n
+数字经济 500 n
+数字货币 500 n
+区块链 500 n
+低空经济 500 n
+工业互联网 500 n
+物联网 500 n
+5G应用 500 n
+充电桩 500 n
+氢能源 500 n
+核聚变 500 n
+工业母机 500 n
+新材料 500 n
+生物制造 500 n
+智能网联汽车 500 n
+乡村振兴 500 n
+国企改革 500 n
+央企重组 500 n
+跨境金融 500 n
+自贸港 500 n
+一带一路 500 n
+绿色低碳 500 n
+碳交易 500 n
+数据要素 500 n
+数字基建 500 n
+东数西算 500 n
+国产替代 500 n
+信创 500 n
+网络安全 500 n
+算力网络 500 n
+边缘计算 500 n
+虚拟现实 500 n
+增强现实 500 n
+智能穿戴 500 n
+智能家居 500 n
+车联网 500 n
+激光雷达 500 n
+氮化镓 500 n
+碳化硅 500 n
+第三代半导体 500 n
+EDA工具 500 n
+光刻胶 500 n
+芯片设计 500 n
+封装测试 500 n
+储能电池 500 n
+钠离子电池 500 n
+氢燃料电池 500 n
+光伏组件 500 n
+风电设备 500 n
+特高压设备 500 n
+电力物联网 500 n
+智能电网 500 n
+轨道交通 500 n
+航空航天 500 n
+海洋工程 500 n
+高端装备 500 n
+军工电子 500 n
+卫星互联网 500 n
+北斗导航 500 n
+国产大飞机 500 n
+生物医药 500 n
+基因测序 500 n
+疫苗 500 n
+医疗美容 500 n
+养老产业 500 n
+教育信息化 500 n
+体育产业 500 n
+文化创意 500 n
+旅游复苏 500 n
+预制菜 500 n
+白酒 500 n
+食品饮料 500 n
+家电下乡 500 n
+房地产复苏 500 n
+基建投资 500 n
+新型城镇化 500 n
+冷链物流 500 n
+快递物流 500 n
+跨境支付 500 n
+金融科技 500 n
+消费电子 500 n
+元宇宙基建 500 n
+数字藏品 500 n
+NFT 500 n
+绿色电力 500 n
+节能降碳 500 n
+抽水蓄能 500 n
+生物质能 500 n
+地热能 500 n
+潮汐能 500 n
+
+# 四、事件驱动型概念（400分，中优先级）
+俄乌冲突 400 n
+中东局势 400 n
+美联储加息 400 n
+降息预期 400 n
+贸易摩擦 400 n
+供应链重构 400 n
+能源危机 400 n
+粮食安全 400 n
+疫情复苏 400 n
+政策利好 400 n
+产业扶持 400 n
+技术突破 400 n
+并购重组 400 n
+IPO提速 400 n
+解禁潮 400 n
+北向资金流入 400 n
+南向资金流入 400 n
+主力资金异动 400 n
+行业景气度 400 n
+业绩预增 400 n
+商誉减值 400 n
+退市风险 400 n
+监管新规 400 n
+税收优惠 400 n
+补贴政策 400 n
+基建刺激 400 n
+消费刺激 400 n
+新能源补贴 400 n
+碳达峰政策 400 n
+碳中和目标 400 n
--- a/backend/data/market_news_api.go
+++ b/backend/data/market_news_api.go
@@ -8,6 +8,7 @@ import (
 	"go-stock/backend/logger"
 	"go-stock/backend/models"
 	"go-stock/backend/util"
+	"net/url"
 	"strconv"
 	"strings"
 	"time"
@@ -53,19 +54,23 @@ func (m MarketNewsApi) TelegraphList(crawlTimeOut int64) *[]models.Telegraph {
 		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)
+			dataTime := time.Unix(ctime, 0).Local()
 			telegraph := models.Telegraph{
+				Title:           news["title"].(string),
 				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)),
+				IsRed:           (news["level"].(string)) != "C",
 				SentimentResult: AnalyzeSentiment(news["content"].(string)).Description,
 			}
 			cnt := int64(0)
-			db.Dao.Model(telegraph).Where("time=? and content=?", telegraph.Time, telegraph.Content).Count(&cnt)
+			if telegraph.Title == "" {
+				db.Dao.Model(telegraph).Where("content=?", telegraph.Content).Count(&cnt)
+			} else {
+				db.Dao.Model(telegraph).Where("title=?", telegraph.Title).Count(&cnt)
+			}
 			if cnt > 0 {
 				continue
 			}
@@ -96,9 +101,6 @@ func (m MarketNewsApi) TelegraphList(crawlTimeOut int64) *[]models.Telegraph {

 	return &telegraphs
 }
-func GetLevel(s string) bool {
-	return s > "C"
-}

 func (m MarketNewsApi) GetNewTelegraph(crawlTimeOut int64) *[]models.Telegraph {
 	url := "https://www.cls.cn/telegraph"
@@ -167,9 +169,9 @@ func (m MarketNewsApi) GetNewTelegraph(crawlTimeOut int64) *[]models.Telegraph {
 func (m MarketNewsApi) GetNewsList(source string, limit int) *[]*models.Telegraph {
 	news := &[]*models.Telegraph{}
 	if source != "" {
-		db.Dao.Model(news).Preload("TelegraphTags").Where("source=?", source).Order("id desc").Limit(limit).Find(news)
+		db.Dao.Model(news).Preload("TelegraphTags").Where("source=?", source).Order("data_time desc,time desc").Limit(limit).Find(news)
 	} else {
-		db.Dao.Model(news).Preload("TelegraphTags").Order("id desc").Limit(limit).Find(news)
+		db.Dao.Model(news).Preload("TelegraphTags").Order("data_time desc,time desc").Limit(limit).Find(news)
 	}
 	for _, item := range *news {
 		tags := &[]models.Tags{}
@@ -188,9 +190,9 @@ func (m MarketNewsApi) GetNewsList2(source string, limit int) *[]*models.Telegra
 	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)
+		db.Dao.Model(news).Preload("TelegraphTags").Where("source=?", source).Order("data_time desc,is_red desc").Limit(limit).Find(news)
 	} else {
-		db.Dao.Model(news).Preload("TelegraphTags").Order("id desc,is_red desc").Limit(limit).Find(news)
+		db.Dao.Model(news).Preload("TelegraphTags").Order("data_time desc,is_red desc").Limit(limit).Find(news)
 	}
 	for _, item := range *news {
 		tags := &[]models.Tags{}
@@ -209,9 +211,9 @@ func (m MarketNewsApi) GetNewsList2(source string, limit int) *[]*models.Telegra
 func (m MarketNewsApi) GetTelegraphList(source string) *[]*models.Telegraph {
 	news := &[]*models.Telegraph{}
 	if source != "" {
-		db.Dao.Model(news).Preload("TelegraphTags").Where("source=?", source).Order("id desc").Limit(20).Find(news)
+		db.Dao.Model(news).Preload("TelegraphTags").Where("source=?", source).Order("data_time desc,time desc").Limit(50).Find(news)
 	} else {
-		db.Dao.Model(news).Preload("TelegraphTags").Order("id desc").Limit(20).Find(news)
+		db.Dao.Model(news).Preload("TelegraphTags").Order("data_time desc,time desc").Limit(50).Find(news)
 	}
 	for _, item := range *news {
 		tags := &[]models.Tags{}
@@ -267,7 +269,12 @@ func (m MarketNewsApi) GetSinaNews(crawlTimeOut uint) *[]models.Telegraph {
 			data := item.(map[string]any)
 			//logger.SugaredLogger.Infof("%s:%s", data["create_time"], data["rich_text"])
 			telegraph.Content = data["rich_text"].(string)
+			telegraph.Title = strutil.SubInBetween(data["rich_text"].(string), "【", "】")
 			telegraph.Time = strings.Split(data["create_time"].(string), " ")[1]
+			dataTime, _ := time.ParseInLocation("2006-01-02 15:04:05", data["create_time"].(string), time.Local)
+			if &dataTime != nil {
+				telegraph.DataTime = &dataTime
+			}
 			tags := data["tag"].([]any)
 			telegraph.SubjectTags = lo.Map(tags, func(tagItem any, index int) string {
 				name := tagItem.(map[string]any)["name"].(string)
@@ -286,7 +293,11 @@ func (m MarketNewsApi) GetSinaNews(crawlTimeOut uint) *[]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)
+				if telegraph.Title == "" {
+					db.Dao.Model(telegraph).Where("content=?", telegraph.Content).Count(&cnt)
+				} else {
+					db.Dao.Model(telegraph).Where("title=?", telegraph.Title).Count(&cnt)
+				}
 				if cnt == 0 {
 					db.Dao.Create(&telegraph)
 					telegraphs = append(telegraphs, telegraph)
@@ -640,15 +651,19 @@ func (m MarketNewsApi) EMDictCode(code string, cache *freecache.Cache) []any {
 	return respMap["data"].([]any)
 }

-func (m MarketNewsApi) TradingViewNews() *[]models.TVNews {
+func (m MarketNewsApi) TradingViewNews() *[]models.Telegraph {
 	client := resty.New()
 	config := GetSettingConfig()
 	if config.HttpProxyEnabled && config.HttpProxy != "" {
 		client.SetProxy(config.HttpProxy)
 	}
 	TVNews := &[]models.TVNews{}
-	url := "https://news-mediator.tradingview.com/news-flow/v2/news?filter=lang:zh-Hans&filter=provider:panews,reuters&client=screener&streaming=false"
-	resp, err := client.SetTimeout(time.Duration(5)*time.Second).R().
+	news := &[]models.Telegraph{}
+	//	url := "https://news-mediator.tradingview.com/news-flow/v2/news?filter=lang:zh-Hans&filter=area:WLD&client=screener&streaming=false"
+	//url := "https://news-mediator.tradingview.com/news-flow/v2/news?filter=area%3AWLD&filter=lang%3Azh-Hans&client=screener&streaming=false"
+	url := "https://news-mediator.tradingview.com/news-flow/v2/news?filter=lang%3Azh-Hans&client=screener&streaming=false"
+
+	resp, err := client.SetTimeout(time.Duration(15)*time.Second).R().
 		SetHeader("Host", "news-mediator.tradingview.com").
 		SetHeader("Origin", "https://cn.tradingview.com").
 		SetHeader("Referer", "https://cn.tradingview.com/").
@@ -656,19 +671,85 @@ func (m MarketNewsApi) TradingViewNews() *[]models.TVNews {
 		Get(url)
 	if err != nil {
 		logger.SugaredLogger.Errorf("TradingViewNews err:%s", err.Error())
-		return TVNews
+		return news
 	}
 	respMap := map[string]any{}
 	err = json.Unmarshal(resp.Body(), &respMap)
 	if err != nil {
-		return TVNews
+		return news
 	}
 	items, err := json.Marshal(respMap["items"])
 	if err != nil {
-		return TVNews
+		return news
 	}
 	json.Unmarshal(items, TVNews)
-	return TVNews
+
+	for i, a := range *TVNews {
+		if i > 10 {
+			break
+		}
+		detail := NewMarketNewsApi().TradingViewNewsDetail(a.Id)
+		dataTime := time.Unix(int64(a.Published), 0).Local()
+		description := ""
+		sentimentResult := ""
+		if detail != nil {
+			description = detail.ShortDescription
+			sentimentResult = AnalyzeSentiment(description).Description
+		}
+		if a.Title == "" {
+			continue
+		}
+		telegraph := &models.Telegraph{
+			Title:           a.Title,
+			Content:         description,
+			DataTime:        &dataTime,
+			IsRed:           false,
+			Time:            dataTime.Format("15:04:05"),
+			Source:          "外媒",
+			Url:             fmt.Sprintf("https://cn.tradingview.com/news/%s", a.Id),
+			SentimentResult: sentimentResult,
+		}
+		cnt := int64(0)
+		if telegraph.Title == "" {
+			db.Dao.Model(telegraph).Where("content=?", telegraph.Content).Count(&cnt)
+		} else {
+			db.Dao.Model(telegraph).Where("title=?", telegraph.Title).Count(&cnt)
+		}
+		if cnt > 0 {
+			continue
+		}
+		db.Dao.Model(&models.Telegraph{}).Where("time=? and title=? and source=?", telegraph.Time, telegraph.Title, "外媒").FirstOrCreate(&telegraph)
+		*news = append(*news, *telegraph)
+	}
+	return news
+}
+func (m MarketNewsApi) TradingViewNewsDetail(id string) *models.TVNewsDetail {
+	//https://news-headlines.tradingview.com/v3/story?id=panews%3A9be7cf057e3f9%3A0&lang=zh-Hans
+	newsDetail := &models.TVNewsDetail{}
+	newsUrl := fmt.Sprintf("https://news-headlines.tradingview.com/v3/story?id=%s&lang=zh-Hans", url.QueryEscape(id))
+
+	client := resty.New()
+	config := GetSettingConfig()
+	if config.HttpProxyEnabled && config.HttpProxy != "" {
+		client.SetProxy(config.HttpProxy)
+	}
+	request := client.SetTimeout(time.Duration(3) * time.Second).R()
+	_, err := request.
+		SetHeader("Host", "news-headlines.tradingview.com").
+		SetHeader("Origin", "https://cn.tradingview.com").
+		SetHeader("Referer", "https://cn.tradingview.com/").
+		SetHeader("User-Agent", "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:146.0) Gecko/20100101 Firefox/146.0").
+		//SetHeader("TE", "trailers").
+		//SetHeader("Priority", "u=4").
+		//SetHeader("Connection", "keep-alive").
+		SetResult(newsDetail).
+		Get(newsUrl)
+	if err != nil {
+		logger.SugaredLogger.Errorf("TradingViewNewsDetail err:%s", err.Error())
+		return newsDetail
+	}
+	logger.SugaredLogger.Infof("resp:%+v", newsDetail)
+	return newsDetail
 }

 func (m MarketNewsApi) XUEQIUHotStock(size int, marketType string) *[]models.HotItem {
@@ -961,7 +1042,8 @@ func (m MarketNewsApi) ReutersNew() *models.ReutersNews {
 		client.SetProxy(config.HttpProxy)
 	}
 	news := &models.ReutersNews{}
-	url := "https://www.reuters.com/pf/api/v3/content/fetch/articles-by-section-alias-or-id-v1?query={\"arc-site\":\"reuters\",\"fetch_type\":\"collection\",\"offset\":0,\"section_id\":\"/world/\",\"size\":9,\"uri\":\"/world/\",\"website\":\"reuters\"}&d=300&mxId=00000000&_website=reuters"
+	//url := "https://www.reuters.com/pf/api/v3/content/fetch/articles-by-section-alias-or-id-v1?query={\"arc-site\":\"reuters\",\"fetch_type\":\"collection\",\"offset\":0,\"section_id\":\"/world/\",\"size\":9,\"uri\":\"/world/\",\"website\":\"reuters\"}&d=300&mxId=00000000&_website=reuters"
+	url := "https://www.reuters.com/pf/api/v3/content/fetch/recent-stories-by-sections-v1?query=%7B%22section_ids%22%3A%22%2Fworld%2F%22%2C%22size%22%3A4%2C%22website%22%3A%22reuters%22%7D&d=334&mxId=00000000&_website=reuters"
 	_, err := client.SetTimeout(time.Duration(5)*time.Second).R().
 		SetHeader("Host", "www.reuters.com").
 		SetHeader("Origin", "https://www.reuters.com").
@@ -1031,9 +1113,9 @@ func (m MarketNewsApi) CailianpressWeb(searchWords string) *models.CailianpressW
 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("created_at desc,is_red desc").Limit(limit).Find(news)
+		db.Dao.Model(news).Preload("TelegraphTags").Where("source=? and created_at>?", source, time.Now().Add(-24*time.Hour)).Order("data_time 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("created_at desc,is_red desc").Limit(limit).Find(news)
+		db.Dao.Model(news).Preload("TelegraphTags").Where("created_at>?", time.Now().Add(-24*time.Hour)).Order("data_time desc,is_red desc").Limit(limit).Find(news)
 	}
 	// 内容去重
 	uniqueNews := make([]*models.Telegraph, 0)
--- a/backend/data/market_news_api_test.go
+++ b/backend/data/market_news_api_test.go
@@ -6,11 +6,14 @@ import (
 	"go-stock/backend/logger"
 	"go-stock/backend/models"
 	"go-stock/backend/util"
+	"path/filepath"
 	"strings"
 	"testing"

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

@@ -21,7 +24,12 @@ import (

 func TestGetSinaNews(t *testing.T) {
 	db.Init("../../data/stock.db")
-	NewMarketNewsApi().GetSinaNews(30)
+	InitAnalyzeSentiment()
+	news := NewMarketNewsApi().GetSinaNews(30)
+	for i, telegraph := range *news {
+		logger.SugaredLogger.Debugf("key: %+v, value: %+v", i, telegraph)
+
+	}
 	//NewMarketNewsApi().GetNewTelegraph(30)

 }
@@ -84,12 +92,13 @@ func TestStockResearchReport(t *testing.T) {

 func TestIndustryResearchReport(t *testing.T) {
 	db.Init("../../data/stock.db")
-	resp := NewMarketNewsApi().IndustryResearchReport("456", 7)
+	resp := NewMarketNewsApi().IndustryResearchReport("", 7)
 	for _, a := range resp {
 		logger.SugaredLogger.Debugf("value: %+v", a)
 		data := a.(map[string]any)
 		logger.SugaredLogger.Debugf("value: %s  infoCode:%s", data["title"], data["infoCode"])
-		NewMarketNewsApi().GetIndustryReportInfo(data["infoCode"].(string))
+		logger.SugaredLogger.Debugf("url: https://pdf.dfcfw.com/pdf/H3_%s_1.pdf", data["infoCode"])
+		//NewMarketNewsApi().GetIndustryReportInfo(data["infoCode"].(string))
 	}
 }

@@ -122,10 +131,8 @@ func TestEMDictCode(t *testing.T) {

 func TestTradingViewNews(t *testing.T) {
 	db.Init("../../data/stock.db")
-	resp := NewMarketNewsApi().TradingViewNews()
-	for _, a := range *resp {
-		logger.SugaredLogger.Debugf("value: %+v", a)
-	}
+	InitAnalyzeSentiment()
+	NewMarketNewsApi().TradingViewNews()
 }

 func TestXUEQIUHotStock(t *testing.T) {
@@ -247,5 +254,41 @@ func TestGetNewsList2(t *testing.T) {

 func TestTelegraphList(t *testing.T) {
 	db.Init("../../data/stock.db")
+	InitAnalyzeSentiment()
 	NewMarketNewsApi().TelegraphList(30)
 }
+
+func TestProxy(t *testing.T) {
+	response, err := resty.New().
+		SetProxy("http://go-stock:778d4ff2-73f3-4d56-b3c3-d9a730a06ae3@stock.sparkmemory.top:8888").
+		R().
+		SetHeader("Host", "news-mediator.tradingview.com").
+		SetHeader("Origin", "https://cn.tradingview.com").
+		SetHeader("Referer", "https://cn.tradingview.com/").
+		SetHeader("User-Agent", "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:140.0) Gecko/20100101 Firefox/140.0").
+		//Get("https://api.ipify.org")
+		Get("https://news-mediator.tradingview.com/news-flow/v2/news?filter=lang%3Azh-Hans&client=screener&streaming=false&user_prostatus=non_pro")
+	if err != nil {
+		logger.SugaredLogger.Error(err)
+		return
+	}
+	logger.SugaredLogger.Debugf("value: %s", response.String())
+
+}
+
+func TestNtfy(t *testing.T) {
+
+	//attach := "http://go-stock.sparkmemory.top/%E5%88%86%E6%9E%90%E6%8A%A5%E5%91%8A/%E8%B5%84%E9%87%91%E6%B5%81%E5%90%91/2025-12/AI%EF%BC%9A%E5%B8%82%E5%9C%BA%E5%88%86%E6%9E%90%E6%8A%A5%E5%91%8A-[2025.12.11_12.02.01].html"
+	//post, err := resty.New().SetBaseURL("https://go-stock.sparkmemory.top:16667").R().
+	//	SetHeader("Filename", "AI：市场分析报告-[2025.12.11_12.02.01].html").
+	//	SetHeader("Icon", "https://go-stock.sparkmemory.top/appicon.png").
+	//	SetHeader("Attach", attach).
+	//	SetBody("AI：市场分析报告-[2025.12.11_12.02.01]").Post("/go-stock")
+	//if err != nil {
+	//	logger.SugaredLogger.Error(err)
+	//	return
+	//}
+	//logger.SugaredLogger.Debugf("value: %s", post.String())
+	logger.SugaredLogger.Debugf("value: %s", filepath.Base("https://go-stock.sparkmemory.top/%E5%88%86%E6%9E%90%E6%8A%A5%E5%91%8A/2025/12/11/%E5%B8%82%E5%9C%BA%E8%B5%84%E8%AE%AF[%E5%B8%82%E5%9C%BA%E8%B5%84%E8%AE%AF]-(2025-12-11)AI%E5%88%86%E6%9E%90%E7%BB%93%E6%9E%9C_20251211131509.html"))
+	logger.SugaredLogger.Debugf("value: %s", strutil.After("/data/go-stock-site/docs/分析报告/2025/12/09/市场资讯[市场资讯]-(2025-12-09)AI分析结果.md", "/data/go-stock-site/docs/"))
+}
--- a/backend/data/openai_api.go
+++ b/backend/data/openai_api.go
@@ -17,6 +17,7 @@ import (
 	"github.com/PuerkitoBio/goquery"
 	"github.com/chromedp/chromedp"
 	"github.com/duke-git/lancet/v2/convertor"
+	"github.com/duke-git/lancet/v2/mathutil"
 	"github.com/duke-git/lancet/v2/random"
 	"github.com/duke-git/lancet/v2/strutil"
 	"github.com/go-resty/resty/v2"
@@ -135,17 +136,19 @@ type Tool struct {
 	Function ToolFunction `json:"function"`
 }
 type FunctionParameters struct {
-	Type       string         `json:"type"`
-	Properties map[string]any `json:"properties"`
-	Required   []string       `json:"required"`
+	Type                 string         `json:"type"`
+	Properties           map[string]any `json:"properties"`
+	Required             []string       `json:"required"`
+	AdditionalProperties bool           `json:"additionalProperties"`
 }
 type ToolFunction struct {
-	Name        string             `json:"name"`
-	Description string             `json:"description"`
-	Parameters  FunctionParameters `json:"parameters"`
+	Name        string              `json:"name"`
+	Strict      bool                `json:"strict"`
+	Description string              `json:"description"`
+	Parameters  *FunctionParameters `json:"parameters"`
 }

-func (o *OpenAi) NewSummaryStockNewsStreamWithTools(userQuestion string, sysPromptId *int, tools []Tool) <-chan map[string]any {
+func (o *OpenAi) NewSummaryStockNewsStreamWithTools(userQuestion string, sysPromptId *int, tools []Tool, thinking bool) <-chan map[string]any {
 	ch := make(chan map[string]any, 512)
 	defer func() {
 		if err := recover(); err != nil {
@@ -185,12 +188,12 @@ func (o *OpenAi) NewSummaryStockNewsStreamWithTools(userQuestion string, sysProm
 			"content": "当前时间",
 		})
 		msg = append(msg, map[string]interface{}{
-			"role":    "assistant",
-			"content": "当前本地时间是:" + time.Now().Format("2006-01-02 15:04:05"),
+			"role":              "assistant",
+			"reasoning_content": "使用工具查询",
+			"content":           "当前本地时间是:" + time.Now().Format("2006-01-02 15:04:05"),
 		})
 		wg := &sync.WaitGroup{}
-		wg.Add(6)
-
+		wg.Add(7)
 		go func() {
 			defer wg.Done()
 			datas := NewMarketNewsApi().InteractiveAnswer(1, 100, "")
@@ -200,8 +203,9 @@ func (o *OpenAi) NewSummaryStockNewsStreamWithTools(userQuestion string, sysProm
 				"content": "投资者互动数据",
 			})
 			msg = append(msg, map[string]interface{}{
-				"role":    "assistant",
-				"content": content,
+				"role":              "assistant",
+				"reasoning_content": "使用工具查询",
+				"content":           content,
 			})
 		}()

@@ -226,8 +230,9 @@ func (o *OpenAi) NewSummaryStockNewsStreamWithTools(userQuestion string, sysProm
 				"content": "国内宏观经济数据",
 			})
 			msg = append(msg, map[string]interface{}{
-				"role":    "assistant",
-				"content": "\n# 国内宏观经济数据：\n" + market.String(),
+				"role":              "assistant",
+				"reasoning_content": "使用工具查询",
+				"content":           "\n# 国内宏观经济数据：\n" + market.String(),
 			})
 		}()

@@ -250,8 +255,9 @@ func (o *OpenAi) NewSummaryStockNewsStreamWithTools(userQuestion string, sysProm
 				"content": "当前市场/大盘/行业/指数行情",
 			})
 			msg = append(msg, map[string]interface{}{
-				"role":    "assistant",
-				"content": "当前市场/大盘/行业/指数行情如下：\n" + market.String(),
+				"role":              "assistant",
+				"reasoning_content": "使用工具查询",
+				"content":           "当前市场/大盘/行业/指数行情如下：\n" + market.String(),
 			})
 		}()

@@ -280,8 +286,9 @@ func (o *OpenAi) NewSummaryStockNewsStreamWithTools(userQuestion string, sysProm
 				"content": "近期重大事件/会议",
 			})
 			msg = append(msg, map[string]interface{}{
-				"role":    "assistant",
-				"content": "近期重大事件/会议如下：\n" + md.String(),
+				"role":              "assistant",
+				"reasoning_content": "使用工具查询",
+				"content":           "近期重大事件/会议如下：\n" + md.String(),
 			})

 		}()
@@ -300,8 +307,9 @@ func (o *OpenAi) NewSummaryStockNewsStreamWithTools(userQuestion string, sysProm
 				"content": "全球新闻资讯",
 			})
 			msg = append(msg, map[string]interface{}{
-				"role":    "assistant",
-				"content": newsText.String(),
+				"role":              "assistant",
+				"reasoning_content": "使用工具查询",
+				"content":           newsText.String(),
 			})
 		}()

@@ -318,27 +326,33 @@ func (o *OpenAi) NewSummaryStockNewsStreamWithTools(userQuestion string, sysProm
 				"content": "外媒全球新闻资讯",
 			})
 			msg = append(msg, map[string]interface{}{
-				"role":    "assistant",
-				"content": messageText.String(),
+				"role":              "assistant",
+				"reasoning_content": "使用工具查询",
+				"content":           messageText.String(),
 			})
 		}()
-		wg.Wait()
-		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.Infof("市场资讯 messageText=\n%s", messageText.String())

-		msg = append(msg, map[string]interface{}{
-			"role":    "user",
-			"content": "市场资讯",
-		})
-		msg = append(msg, map[string]interface{}{
-			"role":    "assistant",
-			"content": messageText.String(),
-		})
+		go func() {
+			defer wg.Done()
+			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")
+			}
+			msg = append(msg, map[string]interface{}{
+				"role":    "user",
+				"content": "市场资讯",
+			})
+			msg = append(msg, map[string]interface{}{
+				"role":              "assistant",
+				"reasoning_content": "使用工具查询",
+				"content":           messageText.String(),
+			})
+		}()
+
+		wg.Wait()
+
 		if userQuestion == "" {
 			userQuestion = "请根据当前时间，总结和分析股票市场新闻中的投资机会"
 		}
@@ -346,12 +360,12 @@ func (o *OpenAi) NewSummaryStockNewsStreamWithTools(userQuestion string, sysProm
 			"role":    "user",
 			"content": userQuestion,
 		})
-		AskAiWithTools(o, errors.New(""), msg, ch, userQuestion, tools)
+		AskAiWithTools(o, errors.New(""), msg, ch, userQuestion, tools, thinking)
 	}()
 	return ch
 }

-func (o *OpenAi) NewSummaryStockNewsStream(userQuestion string, sysPromptId *int) <-chan map[string]any {
+func (o *OpenAi) NewSummaryStockNewsStream(userQuestion string, sysPromptId *int, think bool) <-chan map[string]any {
 	ch := make(chan map[string]any, 512)
 	defer func() {
 		if err := recover(); err != nil {
@@ -395,7 +409,7 @@ func (o *OpenAi) NewSummaryStockNewsStream(userQuestion string, sysPromptId *int
 			"content": "当前本地时间是:" + time.Now().Format("2006-01-02 15:04:05"),
 		})
 		wg := &sync.WaitGroup{}
-		wg.Add(4)
+		wg.Add(5)
 		go func() {
 			defer wg.Done()
 			var market strings.Builder
@@ -470,6 +484,27 @@ func (o *OpenAi) NewSummaryStockNewsStream(userQuestion string, sysPromptId *int
 			})
 		}()

+		go func() {
+			defer wg.Done()
+			markdownTable := ""
+			res := NewSearchStockApi("").HotStrategy()
+			bytes, _ := json.Marshal(res)
+			strategy := &models.HotStrategy{}
+			json.Unmarshal(bytes, strategy)
+			for _, data := range strategy.Data {
+				data.Chg = mathutil.RoundToFloat(100*data.Chg, 2)
+			}
+			markdownTable = util.MarkdownTableWithTitle("当前热门选股策略", strategy.Data)
+			msg = append(msg, map[string]interface{}{
+				"role":    "user",
+				"content": "当前热门选股策略",
+			})
+			msg = append(msg, map[string]interface{}{
+				"role":    "assistant",
+				"content": markdownTable,
+			})
+		}()
+
 		wg.Wait()

 		news := NewMarketNewsApi().GetNewsList2("财联社电报", random.RandInt(100, 500))
@@ -495,12 +530,12 @@ func (o *OpenAi) NewSummaryStockNewsStream(userQuestion string, sysPromptId *int
 			"role":    "user",
 			"content": userQuestion,
 		})
-		AskAi(o, errors.New(""), msg, ch, userQuestion)
+		AskAi(o, errors.New(""), msg, ch, userQuestion, think)
 	}()
 	return ch
 }

-func (o *OpenAi) NewChatStream(stock, stockCode, userQuestion string, sysPromptId *int, tools []Tool) <-chan map[string]any {
+func (o *OpenAi) NewChatStream(stock, stockCode, userQuestion string, sysPromptId *int, tools []Tool, thinking bool) <-chan map[string]any {
 	ch := make(chan map[string]any, 512)

 	defer func() {
@@ -856,15 +891,15 @@ func (o *OpenAi) NewChatStream(stock, stockCode, userQuestion string, sysPromptI
 		//reqJson, _ := json.Marshal(msg)
 		//logger.SugaredLogger.Errorf("Stream request: \n%s\n", reqJson)
 		if tools != nil && len(tools) > 0 {
-			AskAiWithTools(o, err, msg, ch, question, tools)
+			AskAiWithTools(o, err, msg, ch, question, tools, thinking)
 		} else {
-			AskAi(o, err, msg, ch, question)
+			AskAi(o, err, msg, ch, question, thinking)
 		}
 	}()
 	return ch
 }

-func AskAi(o *OpenAi, err error, messages []map[string]interface{}, ch chan map[string]any, question string) {
+func AskAi(o *OpenAi, err error, messages []map[string]interface{}, ch chan map[string]any, question string, think bool) {
 	client := resty.New()
 	client.SetBaseURL(strutil.Trim(o.BaseUrl))
 	client.SetHeader("Authorization", "Bearer "+o.ApiKey)
@@ -873,11 +908,18 @@ func AskAi(o *OpenAi, err error, messages []map[string]interface{}, ch chan map[
 	if o.TimeOut <= 0 {
 		o.TimeOut = 300
 	}
+	thinking := "disabled"
+	if think {
+		thinking = "enabled"
+	}
 	client.SetTimeout(time.Duration(o.TimeOut) * time.Second)
 	resp, err := client.R().
 		SetDoNotParseResponse(true).
 		SetBody(map[string]interface{}{
-			"model":       o.Model,
+			"model": o.Model,
+			"thinking": map[string]any{
+				"type": thinking,
+			},
 			"max_tokens":  o.MaxTokens,
 			"temperature": o.Temperature,
 			"stream":      true,
@@ -1005,7 +1047,10 @@ func AskAi(o *OpenAi, err error, messages []map[string]interface{}, ch chan map[

 	}
 }
-func AskAiWithTools(o *OpenAi, err error, messages []map[string]interface{}, ch chan map[string]any, question string, tools []Tool) {
+func AskAiWithTools(o *OpenAi, err error, messages []map[string]interface{}, ch chan map[string]any, question string, tools []Tool, thinkingMode bool) {
+	bytes, _ := json.Marshal(messages)
+	logger.SugaredLogger.Debugf("Stream request: \n%s\n", string(bytes))
+
 	client := resty.New()
 	client.SetBaseURL(strutil.Trim(o.BaseUrl))
 	client.SetHeader("Authorization", "Bearer "+o.ApiKey)
@@ -1014,11 +1059,20 @@ func AskAiWithTools(o *OpenAi, err error, messages []map[string]interface{}, ch
 	if o.TimeOut <= 0 {
 		o.TimeOut = 300
 	}
+	thinking := "disabled"
+	if thinkingMode {
+		thinking = "enabled"
+	}
 	client.SetTimeout(time.Duration(o.TimeOut) * time.Second)
 	resp, err := client.R().
 		SetDoNotParseResponse(true).
 		SetBody(map[string]interface{}{
-			"model":       o.Model,
+			"model": o.Model,
+			"thinking": map[string]any{
+				//"type": "disabled",
+				//"type": "enabled",
+				"type": thinking,
+			},
 			"max_tokens":  o.MaxTokens,
 			"temperature": o.Temperature,
 			"stream":      true,
@@ -1046,6 +1100,8 @@ func AskAiWithTools(o *OpenAi, err error, messages []map[string]interface{}, ch
 	currentFuncName := ""
 	currentCallId := ""
 	var currentAIContent strings.Builder
+	var reasoningContentText strings.Builder
+	var contentText strings.Builder

 	for scanner.Scan() {
 		line := scanner.Text()
@@ -1081,6 +1137,7 @@ func AskAiWithTools(o *OpenAi, err error, messages []map[string]interface{}, ch
 			if err := json.Unmarshal([]byte(data), &streamResponse); err == nil {
 				for _, choice := range streamResponse.Choices {
 					if content := choice.Delta.Content; content != "" {
+						contentText.WriteString(content)
 						//ch <- content
 						//logger.SugaredLogger.Infof("Content data: %s", content)

@@ -1108,6 +1165,7 @@ func AskAiWithTools(o *OpenAi, err error, messages []map[string]interface{}, ch

 					}
 					if reasoningContent := choice.Delta.ReasoningContent; reasoningContent != "" {
+						reasoningContentText.WriteString(reasoningContent)
 						//ch <- reasoningContent
 						ch <- map[string]any{
 							"code":     1,
@@ -1154,7 +1212,7 @@ 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, 20))
+								res := NewSearchStockApi(words).SearchStock(random.RandInt(50, 120))
 								if convertor.ToString(res["code"]) == "100" {
 									resData := res["data"].(map[string]any)
 									result := resData["result"].(map[string]any)
@@ -1191,8 +1249,9 @@ func AskAiWithTools(o *OpenAi, err error, messages []map[string]interface{}, ch
 								logger.SugaredLogger.Infof("SearchStockByIndicators:words:%s  --> \n%s", words, content)

 								messages = append(messages, map[string]interface{}{
-									"role":    "assistant",
-									"content": currentAIContent.String(),
+									"role":              "assistant",
+									"content":           currentAIContent.String(),
+									"reasoning_content": reasoningContentText.String(),
 									"tool_calls": []map[string]any{
 										{
 											"id":           currentCallId,
@@ -1210,6 +1269,9 @@ func AskAiWithTools(o *OpenAi, err error, messages []map[string]interface{}, ch
 									"role":         "tool",
 									"content":      content,
 									"tool_call_id": currentCallId,
+									//"reasoning_content": reasoningContentText.String(),
+									//"tool_calls":        choice.Delta.ToolCalls,
+
 								})

 								//ch <- map[string]any{
@@ -1264,8 +1326,9 @@ func AskAiWithTools(o *OpenAi, err error, messages []map[string]interface{}, ch
 									logger.SugaredLogger.Infof("getKLineData=\n%s", markdownTable)

 									messages = append(messages, map[string]interface{}{
-										"role":    "assistant",
-										"content": currentAIContent.String(),
+										"role":              "assistant",
+										"content":           currentAIContent.String(),
+										"reasoning_content": reasoningContentText.String(),
 										"tool_calls": []map[string]any{
 											{
 												"id":           currentCallId,
@@ -1284,6 +1347,8 @@ func AskAiWithTools(o *OpenAi, err error, messages []map[string]interface{}, ch
 										"role":         "tool",
 										"content":      res,
 										"tool_call_id": currentCallId,
+										//"reasoning_content": reasoningContentText.String(),
+										//"tool_calls":        choice.Delta.ToolCalls,
 									})
 									logger.SugaredLogger.Infof("GetStockKLine:stockCode:%s days:%s --> \n%s", stockCode, days, res)

@@ -1297,8 +1362,9 @@ func AskAiWithTools(o *OpenAi, err error, messages []map[string]interface{}, ch
 									//}
 								} else {
 									messages = append(messages, map[string]interface{}{
-										"role":    "assistant",
-										"content": currentAIContent.String(),
+										"role":              "assistant",
+										"content":           currentAIContent.String(),
+										"reasoning_content": reasoningContentText.String(),
 										"tool_calls": []map[string]any{
 											{
 												"id":           currentCallId,
@@ -1316,6 +1382,8 @@ func AskAiWithTools(o *OpenAi, err error, messages []map[string]interface{}, ch
 										"role":         "tool",
 										"content":      "无数据，可能股票代码错误。（A股：sh,sz开头;港股hk开头,美股：us开头）",
 										"tool_call_id": currentCallId,
+										//"reasoning_content": reasoningContentText.String(),
+										//"tool_calls":        choice.Delta.ToolCalls,
 									})
 								}
 							}
@@ -1344,8 +1412,9 @@ func AskAiWithTools(o *OpenAi, err error, messages []map[string]interface{}, ch
 								content := util.MarkdownTableWithTitle("投资互动数据", datas.Results)
 								logger.SugaredLogger.Infof("InteractiveAnswer=\n%s", content)
 								messages = append(messages, map[string]interface{}{
-									"role":    "assistant",
-									"content": currentAIContent.String(),
+									"role":              "assistant",
+									"content":           currentAIContent.String(),
+									"reasoning_content": reasoningContentText.String(),
 									"tool_calls": []map[string]any{
 										{
 											"id":           currentCallId,
@@ -1363,6 +1432,8 @@ func AskAiWithTools(o *OpenAi, err error, messages []map[string]interface{}, ch
 									"role":         "tool",
 									"content":      content,
 									"tool_call_id": currentCallId,
+									//"reasoning_content": reasoningContentText.String(),
+									//"tool_calls":        choice.Delta.ToolCalls,
 								})
 							}
 							//
@@ -1478,8 +1549,9 @@ func AskAiWithTools(o *OpenAi, err error, messages []map[string]interface{}, ch
 								}
 								logger.SugaredLogger.Infof("stockCode:%s StockResearchReport:\n %s", stockCode, md.String())
 								messages = append(messages, map[string]interface{}{
-									"role":    "assistant",
-									"content": currentAIContent.String(),
+									"role":              "assistant",
+									"content":           currentAIContent.String(),
+									"reasoning_content": reasoningContentText.String(),
 									"tool_calls": []map[string]any{
 										{
 											"id":           currentCallId,
@@ -1497,11 +1569,50 @@ func AskAiWithTools(o *OpenAi, err error, messages []map[string]interface{}, ch
 									"role":         "tool",
 									"content":      md.String(),
 									"tool_call_id": currentCallId,
+									//"reasoning_content": reasoningContentText.String(),
+									//"tool_calls":        choice.Delta.ToolCalls,
+								})
+							}
+
+							if funcName == "HotStrategyTable" {
+								ch <- map[string]any{
+									"code":     1,
+									"question": question,
+									"chatId":   streamResponse.Id,
+									"model":    streamResponse.Model,
+									"content":  "\r\n```\r\n开始调用工具：HotStrategyTable，\n参数：" + funcArguments + "\r\n```\r\n",
+									"time":     time.Now().Format(time.DateTime),
+								}
+								table := NewSearchStockApi("").HotStrategyTable()
+								logger.SugaredLogger.Infof("%s", table)
+								messages = append(messages, map[string]interface{}{
+									"role":              "assistant",
+									"content":           currentAIContent.String(),
+									"reasoning_content": reasoningContentText.String(),
+									"tool_calls": []map[string]any{
+										{
+											"id":           currentCallId,
+											"tool_call_id": currentCallId,
+											"type":         "function",
+											"function": map[string]string{
+												"name":       funcName,
+												"arguments":  funcArguments,
+												"parameters": funcArguments,
+											},
+										},
+									},
+								})
+								messages = append(messages, map[string]interface{}{
+									"role":         "tool",
+									"content":      table,
+									"tool_call_id": currentCallId,
+									//"reasoning_content": reasoningContentText.String(),
+									//"tool_calls":        choice.Delta.ToolCalls,
 								})
 							}

 						}
-						AskAiWithTools(o, err, messages, ch, question, tools)
+						AskAiWithTools(o, err, messages, ch, question, tools, thinkingMode)
 					}

 					if choice.FinishReason == "stop" {
@@ -1549,7 +1660,7 @@ func AskAiWithTools(o *OpenAi, err error, messages []map[string]interface{}, ch
 							}
 							newMessages = append(newMessages, message)
 						}
-						AskAi(o, err, newMessages, ch, question)
+						AskAi(o, err, newMessages, ch, question, thinkingMode)
 					} else {
 						ch <- map[string]any{
 							"code":     0,
--- a/backend/data/openai_api_test.go
+++ b/backend/data/openai_api_test.go
@@ -9,6 +9,7 @@ import (

 func TestNewDeepSeekOpenAiConfig(t *testing.T) {
 	db.Init("../../data/stock.db")
+	InitAnalyzeSentiment()

 	var tools []Tool
 	tools = append(tools, Tool{
@@ -29,7 +30,7 @@ func TestNewDeepSeekOpenAiConfig(t *testing.T) {
 		},
 	})

-	ai := NewDeepSeekOpenAi(context.TODO(), 1)
+	ai := NewDeepSeekOpenAi(context.TODO(), 0)
 	//res := ai.NewChatStream("长电科技", "sh600584", "长电科技分析和总结", nil)
 	res := ai.NewSummaryStockNewsStreamWithTools("总结市场资讯，发掘潜力标的/行业/板块/概念，控制风险。调用工具函数验证", nil, tools)

--- a/backend/data/search_stock_api.go
+++ b/backend/data/search_stock_api.go
@@ -4,8 +4,11 @@ import (
 	"encoding/json"
 	"fmt"
 	"go-stock/backend/logger"
+	"go-stock/backend/models"
+	"go-stock/backend/util"
 	"time"

+	"github.com/duke-git/lancet/v2/mathutil"
 	"github.com/go-resty/resty/v2"
 )

@@ -21,6 +24,13 @@ func NewSearchStockApi(words string) *SearchStockApi {
 	return &SearchStockApi{words: words}
 }
 func (s SearchStockApi) SearchStock(pageSize int) map[string]any {
+	qgqpBId := NewSettingsApi().Config.QgqpBId
+	if qgqpBId == "" {
+		return map[string]any{
+			"code":    -1,
+			"message": "请先获取东财用户标识（qgqp_b_id）：打开浏览器,访问东财网站，按F12打开开发人员工具-》网络面板，随便点开一个请求，复制请求cookie中qgqp_b_id对应的值。保存到设置中的东财唯一标识输入框",
+		}
+	}
 	url := "https://np-tjxg-g.eastmoney.com/api/smart-tag/stock/v3/pw/search-code"
 	resp, err := resty.New().SetTimeout(time.Duration(30)*time.Second).R().
 		SetHeader("Host", "np-tjxg-g.eastmoney.com").
@@ -32,22 +42,25 @@ func (s SearchStockApi) SearchStock(pageSize int) map[string]any {
 				"keyWord": "%s",
 				"pageSize": %d,
 				"pageNo": 1,
-				"fingerprint": "02efa8944b1f90fbfe050e1e695a480d",
+				"fingerprint": "%s",
 				"gids": [],
 				"matchWord": "",
 				"timestamp": "%d",
 				"shareToGuba": false,
-				"requestId": "RMd3Y76AJI98axPvdhdbKvbBDVwLlUK61761559950168",
+				"requestId": "",
 				"needCorrect": true,
 				"removedConditionIdList": [],
-				"xcId": "xc0d61279aad33008260",
+				"xcId": "",
 				"ownSelectAll": false,
 				"dxInfo": [],
 				"extraCondition": ""
-				}`, s.words, pageSize, time.Now().Unix())).Post(url)
+				}`, s.words, pageSize, qgqpBId, time.Now().Unix())).Post(url)
 	if err != nil {
 		logger.SugaredLogger.Errorf("SearchStock-err:%+v", err)
-		return map[string]any{}
+		return map[string]any{
+			"code":    -1,
+			"message": err.Error(),
+		}
 	}
 	respMap := map[string]any{}
 	json.Unmarshal(resp.Body(), &respMap)
@@ -71,3 +84,16 @@ func (s SearchStockApi) HotStrategy() map[string]any {
 	json.Unmarshal(resp.Body(), &respMap)
 	return respMap
 }
+
+func (s SearchStockApi) HotStrategyTable() string {
+	markdownTable := ""
+	res := s.HotStrategy()
+	bytes, _ := json.Marshal(res)
+	strategy := &models.HotStrategy{}
+	json.Unmarshal(bytes, strategy)
+	for _, data := range strategy.Data {
+		data.Chg = mathutil.RoundToFloat(100*data.Chg, 2)
+	}
+	markdownTable = util.MarkdownTableWithTitle("当前热门选股策略", strategy.Data)
+	return markdownTable
+}
--- a/backend/data/search_stock_api_test.go
+++ b/backend/data/search_stock_api_test.go
@@ -4,14 +4,25 @@ import (
 	"encoding/json"
 	"go-stock/backend/db"
 	"go-stock/backend/logger"
+	"go-stock/backend/models"
+	"go-stock/backend/util"
+	"math"
 	"testing"

 	"github.com/duke-git/lancet/v2/convertor"
+	"github.com/duke-git/lancet/v2/mathutil"
+	"github.com/duke-git/lancet/v2/random"
 )

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

+	e := convertor.ToString(math.Floor(float64(9*random.RandFloat(0, 1, 12) + 1)))
+	for i := 0; i < 19; i++ {
+		e += convertor.ToString(math.Floor(float64(9 * random.RandFloat(0, 1, 12))))
+	}
+	logger.SugaredLogger.Infof("e:%s", e)
+
 	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)
@@ -52,10 +63,20 @@ func TestSearchStock(t *testing.T) {
 func TestSearchStockApi_HotStrategy(t *testing.T) {
 	db.Init("../../data/stock.db")
 	res := NewSearchStockApi("").HotStrategy()
-	logger.SugaredLogger.Infof("res:%+v", res)
-	dataList := res["data"].([]any)
-	for _, v := range dataList {
-		d := v.(map[string]any)
-		logger.SugaredLogger.Infof("v:%+v", d)
+	bytes, err := json.Marshal(res)
+	if err != nil {
+		return
 	}
+	strategy := &models.HotStrategy{}
+	json.Unmarshal(bytes, strategy)
+	for _, data := range strategy.Data {
+		data.Chg = mathutil.RoundToFloat(100*data.Chg, 2)
+	}
+	markdownTable := util.MarkdownTable(strategy.Data)
+	logger.SugaredLogger.Infof("res:%s", markdownTable)
+	//dataList := res["data"].([]any)
+	//for _, v := range dataList {
+	//	d := v.(map[string]any)
+	//	logger.SugaredLogger.Infof("v:%+v", d)
+	//}
 }
--- a/backend/data/settings_api.go
+++ b/backend/data/settings_api.go
@@ -37,6 +37,7 @@ type Settings struct {
 	HttpProxy              string `json:"httpProxy"`
 	HttpProxyEnabled       bool   `json:"httpProxyEnabled"`
 	EnableAgent            bool   `json:"enableAgent"`
+	QgqpBId                string `json:"qgqpBId" gorm:"column:qgqp_b_id"`
 }

 func (receiver Settings) TableName() string {
@@ -108,6 +109,7 @@ func UpdateConfig(s *SettingConfig) string {
 			"http_proxy":                 s.HttpProxy,
 			"http_proxy_enabled":         s.HttpProxyEnabled,
 			"enable_agent":               s.EnableAgent,
+			"qgqp_b_id":                  s.QgqpBId,
 		})

 		//更新AiConfig
--- a/backend/data/stock_data_api.go
+++ b/backend/data/stock_data_api.go
@@ -1484,11 +1484,11 @@ func (receiver StockDataApi) getDCStockInfo(market string, page, pageSize int) {

 	url := "https://push2.eastmoney.com/api/qt/clist/get?np=1&fltt=1&invt=2&cb=data&fs=%s&fields=f12,f13,f14,f1,f2,f4,f3,f152,f5,f6,f7,f15,f18,f16,f17,f10,f8,f9,f23,f100,f265&fid=f3&pn=%d&pz=%d&po=1&dect=1&wbp2u=|0|0|0|web&_=%d"
 	sprintfUrl := fmt.Sprintf(url, fs, page, pageSize, time.Now().UnixMilli())
-	logger.SugaredLogger.Infof("url:%s", sprintfUrl)
+	logger.SugaredLogger.Infof("page:%d  url:%s", page, sprintfUrl)
 	resp, err := receiver.client.SetTimeout(time.Duration(receiver.config.CrawlTimeOut)*time.Second).R().
 		SetHeader("Host", "push2.eastmoney.com").
 		SetHeader("Referer", "https://quote.eastmoney.com/center/gridlist.html").
-		SetHeader("User-Agent", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36 Edg/119.0.0.0").
+		SetHeader("User-Agent", "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:146.0) Gecko/20100101 Firefox/146.0").
 		Get(sprintfUrl)
 	if err != nil {
 		logger.SugaredLogger.Errorf("err:%s", err.Error())
--- a/backend/data/stock_data_api_test.go
+++ b/backend/data/stock_data_api_test.go
@@ -121,10 +121,10 @@ func TestGetHKStockInfo(t *testing.T) {
 	//NewStockDataApi().GetSinaHKStockInfo()
 	//m:105,m:106,m:107  //美股
 	//m:128+t:3,m:128+t:4,m:128+t:1,m:128+t:2 //港股
-	//287  224 605
-	for i := 1; i <= 605; i++ {
-		NewStockDataApi().getDCStockInfo("us", i, 20)
-		time.Sleep(time.Duration(random.RandInt(1, 3)) * time.Second)
+	//274  224 605
+	for i := 197; i <= 274; i++ {
+		NewStockDataApi().getDCStockInfo("", i, 20)
+		time.Sleep(time.Duration(random.RandInt(2, 5)) * time.Second)
 	}
 }

@@ -270,15 +270,16 @@ func TestName(t *testing.T) {
 	db.Init("../../data/stock.db")

 	stockBasics := &[]StockBasic{}
-	resty.New().R().
+	resty.New().SetProxy("").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())
-	}
+	logger.SugaredLogger.Infof("%+v", stockBasics)
+	//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
@@ -38,14 +38,14 @@ var (

 	// 负面金融词汇及其权重
 	negativeFinanceWords = map[string]float64{
-		"跌": 1.0, "下跌": 2.0, "跌停": 3.0, "熊市": 3.0, "回调": 1.5, "新低": 2.5,
+		"跌": 2.0, "下跌": 2.0, "跌停": 3.0, "熊市": 3.0, "回调": 2.5, "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,
+		"衰退": 2.0, "跌破": 2.0, "创新低": 3.0, "走弱": 2.5, "下挫": 2.5,
 		"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, "跌超": 2.5, "跌逾": 2.5,
-		"被抓": 3.0, "被抓捕": 3.0,
+		"垃圾股": 2.0, "风险股": 2.0, "弱势": 2.5, "走低": 2.5, "缩量": 2.5,
+		"大跌": 2.5, "暴跌": 3.0, "崩盘": 3.0, "跳水": 3.0, "重挫": 3.0, "跌超": 2.5, "跌逾": 2.5, "跌近": 3.0,
+		"被抓": 3.0, "被抓捕": 3.0, "回吐": 3.0, "转跌": 3.0,
 	}

 	// 否定词，用于反转情感极性
@@ -73,7 +73,17 @@ var baseDict string
 var zhDict string

 func InitAnalyzeSentiment() {
-	//err := seg.LoadDictEmbed()
+	defer func() {
+		if r := recover(); r != nil {
+			logger.SugaredLogger.Error(fmt.Sprintf("panic: %v", r))
+		}
+	}()
+	// 加载简体中文词典
+	//err := seg.LoadDict("zh_s")
+	//if err != nil {
+	//	logger.SugaredLogger.Error(err.Error())
+	//}
+
 	err := seg.LoadDictEmbed(baseDict)
 	if err != nil {
 		logger.SugaredLogger.Error(err.Error())
@@ -96,6 +106,8 @@ func InitAnalyzeSentiment() {
 			logger.SugaredLogger.Errorf("添加%s失败:%s", stock.Name, err.Error())
 		}
 	}
+	logger.SugaredLogger.Info("加载股票名称词典成功")
+
 	stockhks := &[]models.StockInfoHK{}
 	db.Dao.Model(&models.StockInfoHK{}).Find(stockhks)
 	for _, stock := range *stockhks {
@@ -110,6 +122,7 @@ func InitAnalyzeSentiment() {
 			logger.SugaredLogger.Errorf("添加%s失败:%s", stock.Name, err.Error())
 		}
 	}
+	logger.SugaredLogger.Info("加载港股名称词典成功")
 	//stockus := &[]models.StockInfoUS{}
 	//db.Dao.Model(&models.StockInfoUS{}).Where("trim(name) != ?", "").Find(stockus)
 	//for _, stock := range *stockus {
@@ -119,13 +132,19 @@ func InitAnalyzeSentiment() {
 	//	}
 	//}
 	tags := &[]models.Tags{}
-	db.Dao.Model(&models.Tags{}).Find(tags)
+	db.Dao.Model(&models.Tags{}).Where("type = ?", "subject").Find(tags)
 	for _, tag := range *tags {
+		if tag.Name == "" {
+			continue
+		}
 		err := seg.AddToken(tag.Name, basefreq+100, "n")
 		if err != nil {
 			logger.SugaredLogger.Errorf("添加%s失败:%s", tag.Name, err.Error())
+		} else {
+			logger.SugaredLogger.Infof("添加tags词典[%s]成功", tag.Name)
 		}
 	}
+	logger.SugaredLogger.Info("加载tags词典成功")
 	seg.CalcToken()
 	//加载用户自定义词典 先判断用户词典是否存在
 	if fileutil.IsExist("data/dict/user.txt") {
@@ -139,15 +158,31 @@ func InitAnalyzeSentiment() {
 				continue
 			}
 			k := strutil.SplitAndTrim(line, " ")
+			if len(k) == 0 {
+				continue
+			}
+			_, _, ok := seg.Find(k[0])
 			switch len(k) {
 			case 1:
-				err = seg.ReAddToken(k[0], 100)
+				if ok {
+					err = seg.ReAddToken(k[0], basefreq)
+				} else {
+					err = seg.AddToken(k[0], basefreq)
+				}
 			case 2:
 				freq, _ := convertor.ToFloat(k[1])
-				err = seg.ReAddToken(k[0], freq)
+				if ok {
+					err = seg.ReAddToken(k[0], freq)
+				} else {
+					err = seg.AddToken(k[0], freq)
+				}
 			case 3:
 				freq, _ := convertor.ToFloat(k[1])
-				err = seg.ReAddToken(k[0], freq, k[2])
+				if ok {
+					err = seg.ReAddToken(k[0], freq, k[2])
+				} else {
+					err = seg.AddToken(k[0], freq, k[2])
+				}
 			default:
 				logger.SugaredLogger.Errorf("用户词典格式错误:%s", line)
 			}
@@ -158,18 +193,12 @@ func InitAnalyzeSentiment() {
 		} else {
 			logger.SugaredLogger.Infof("加载用户词典成功")
 		}
+	} else {
+		logger.SugaredLogger.Info("用户词典不存在")
 	}
 	seg.CalcToken()
 }

-// WordFreqWithWeight 词频统计结果，包含权重信息
-type WordFreqWithWeight struct {
-	Word      string
-	Frequency int
-	Weight    float64
-	Score     float64
-}
-
 // getWordWeight 获取词汇权重
 func getWordWeight(word string) float64 {
 	// 从分词器获取词汇权重
@@ -177,15 +206,15 @@ func getWordWeight(word string) float64 {
 	freq, pos, ok := seg.Dictionary().Find([]byte(word))
 	if ok {
 		logger.SugaredLogger.Infof("获取%s的权重:%f,pos:%s,ok:%v", word, freq, pos, ok)
-		return basefreq + freq
+		return freq
 	}
 	return 0
 }

 // SortByWeightAndFrequency 按权重和频次排序词频结果
-func SortByWeightAndFrequency(frequencies map[string]WordFreqWithWeight) []WordFreqWithWeight {
+func SortByWeightAndFrequency(frequencies map[string]models.WordFreqWithWeight) []models.WordFreqWithWeight {
 	// 将map转换为slice以便排序
-	freqSlice := make([]WordFreqWithWeight, 0, len(frequencies))
+	freqSlice := make([]models.WordFreqWithWeight, 0, len(frequencies))
 	for _, freq := range frequencies {
 		freqSlice = append(freqSlice, freq)
 	}
@@ -200,7 +229,7 @@ func SortByWeightAndFrequency(frequencies map[string]WordFreqWithWeight) []WordF
 }

 // FilterAndSortWords 过滤标点符号并按权重频次排序
-func FilterAndSortWords(frequencies map[string]WordFreqWithWeight) []WordFreqWithWeight {
+func FilterAndSortWords(frequencies map[string]models.WordFreqWithWeight) []models.WordFreqWithWeight {
 	// 先过滤标点符号和分隔符
 	cleanFrequencies := FilterPunctuationAndSeparators(frequencies)

@@ -209,8 +238,8 @@ func FilterAndSortWords(frequencies map[string]WordFreqWithWeight) []WordFreqWit

 	return sortedFrequencies
 }
-func FilterPunctuationAndSeparators(frequencies map[string]WordFreqWithWeight) map[string]WordFreqWithWeight {
-	filteredWords := make(map[string]WordFreqWithWeight)
+func FilterPunctuationAndSeparators(frequencies map[string]models.WordFreqWithWeight) map[string]models.WordFreqWithWeight {
+	filteredWords := make(map[string]models.WordFreqWithWeight)

 	for word, freqInfo := range frequencies {
 		// 过滤纯标点符号和分隔符
@@ -238,8 +267,8 @@ func isPunctuationOrSeparator(word string) bool {
 }

 // 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)
+func FilterWithRegex(frequencies map[string]models.WordFreqWithWeight) map[string]models.WordFreqWithWeight {
+	filteredWords := make(map[string]models.WordFreqWithWeight)

 	// 匹配标点符号、特殊字符的正则表达式
 	punctuationRegex := regexp.MustCompile(`^[[:punct:][:space:]]+$`)
@@ -254,9 +283,9 @@ func FilterWithRegex(frequencies map[string]WordFreqWithWeight) map[string]WordF
 }

 // countWordFrequencyWithWeight 统计词频并包含权重信息
-func countWordFrequencyWithWeight(text string) map[string]WordFreqWithWeight {
+func countWordFrequencyWithWeight(text string) map[string]models.WordFreqWithWeight {
 	words := splitWords(text)
-	freqMap := make(map[string]WordFreqWithWeight)
+	freqMap := make(map[string]models.WordFreqWithWeight)

 	// 统计词频
 	wordCount := make(map[string]int)
@@ -267,8 +296,8 @@ func countWordFrequencyWithWeight(text string) map[string]WordFreqWithWeight {
 	// 构建包含权重的结果
 	for word, frequency := range wordCount {
 		weight := getWordWeight(word)
-		if weight > basefreq {
-			freqMap[word] = WordFreqWithWeight{
+		if weight >= basefreq {
+			freqMap[word] = models.WordFreqWithWeight{
 				Word:      word,
 				Frequency: frequency,
 				Weight:    weight,
@@ -282,7 +311,7 @@ func countWordFrequencyWithWeight(text string) map[string]WordFreqWithWeight {
 }

 // AnalyzeSentimentWithFreqWeight 带权重词频统计的情感分析
-func AnalyzeSentimentWithFreqWeight(text string) (SentimentResult, map[string]WordFreqWithWeight) {
+func AnalyzeSentimentWithFreqWeight(text string) (models.SentimentResult, map[string]models.WordFreqWithWeight) {
 	// 原有情感分析逻辑
 	result := AnalyzeSentiment(text)

@@ -292,26 +321,14 @@ func AnalyzeSentimentWithFreqWeight(text string) (SentimentResult, map[string]Wo
 	return result, frequencies
 }

-// SentimentResult 情感分析结果类型
-type SentimentResult struct {
-	Score         float64       // 情感得分
-	Category      SentimentType // 情感类别
-	PositiveCount int           // 正面词数量
-	NegativeCount int           // 负面词数量
-	Description   string        // 情感描述
-}
-
-// SentimentType 情感类型枚举
-type SentimentType int
-
 const (
-	Positive SentimentType = iota
+	Positive models.SentimentType = iota
 	Negative
 	Neutral
 )

 // AnalyzeSentiment 判断文本的情感
-func AnalyzeSentiment(text string) SentimentResult {
+func AnalyzeSentiment(text string) models.SentimentResult {
 	// 初始化得分
 	score := 0.0
 	positiveCount := 0
@@ -351,7 +368,7 @@ func AnalyzeSentiment(text string) SentimentResult {
 	}

 	// 确定情感类别
-	var category SentimentType
+	var category models.SentimentType
 	switch {
 	case score > 1.0:
 		category = Positive
@@ -361,7 +378,7 @@ func AnalyzeSentiment(text string) SentimentResult {
 		category = Neutral
 	}

-	return SentimentResult{
+	return models.SentimentResult{
 		Score:         score,
 		Category:      category,
 		PositiveCount: positiveCount,
@@ -474,7 +491,7 @@ func splitWords(text string) []string {
 }

 // GetSentimentDescription 获取情感类别的文本描述
-func GetSentimentDescription(category SentimentType) string {
+func GetSentimentDescription(category models.SentimentType) string {
 	switch category {
 	case Positive:
 		return "看涨"
@@ -519,3 +536,43 @@ func main() {
 			result.NegativeCount)
 	}
 }
+
+func SaveAnalyzeSentimentWithFreqWeight(frequencies []models.WordFreqWithWeight) {
+
+	sort.Slice(frequencies, func(i, j int) bool {
+		return frequencies[i].Frequency > frequencies[j].Frequency
+	})
+	wordAnalyzes := make([]models.WordAnalyze, 0)
+	for _, freq := range frequencies[:10] {
+		wordAnalyze := models.WordAnalyze{
+			WordFreqWithWeight: freq,
+		}
+		wordAnalyzes = append(wordAnalyzes, wordAnalyze)
+	}
+	db.Dao.CreateInBatches(wordAnalyzes, 1000)
+}
+
+func SaveStockSentimentAnalysis(result models.SentimentResult) {
+	db.Dao.Create(&models.SentimentResultAnalyze{
+		SentimentResult: result,
+	})
+}
+
+func NewsAnalyze(text string, save bool) (models.SentimentResult, []models.WordFreqWithWeight) {
+	if text == "" {
+		telegraphs := NewMarketNewsApi().GetNews24HoursList("", 1000*10)
+		messageText := strings.Builder{}
+		for _, telegraph := range *telegraphs {
+			messageText.WriteString(telegraph.Content + "\n")
+		}
+		text = messageText.String()
+	}
+	result, frequencies := AnalyzeSentimentWithFreqWeight(text)
+	// 过滤标点符号和分隔符
+	cleanFrequencies := FilterAndSortWords(frequencies)
+	if save {
+		go SaveAnalyzeSentimentWithFreqWeight(cleanFrequencies)
+		go SaveStockSentimentAnalysis(result)
+	}
+	return result, cleanFrequencies
+}
--- a/backend/data/stock_sentiment_analysis_test.go
+++ b/backend/data/stock_sentiment_analysis_test.go
@@ -6,6 +6,8 @@ import (
 	"go-stock/backend/logger"
 	"strings"
 	"testing"
+
+	"github.com/duke-git/lancet/v2/random"
 )

 // @Author spark
@@ -19,15 +21,15 @@ func TestAnalyzeSentiment(t *testing.T) {
 	InitAnalyzeSentiment()

 	messageText := strings.Builder{}
-	//news := NewMarketNewsApi().GetNewsList2("", random.RandInt(500, 1000))
-	//for _, telegraph := range *news {
-	//	messageText.WriteString(telegraph.Content + "\n")
-	//}
+	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"
-	text = "财联社电：英伟达周五冲高回落，股价涨幅收于1%，市场普遍认为其走势疲软"
-	text = "【本轮巴以冲突已致加沙地带69733人死亡】财联社11月22日电，当地时间22日下午，以军对加沙城西部一辆汽车发动空袭，已造成5人死亡，多人受伤。自2023年10月7日巴以新一轮大规模冲突爆发以来，以色列对加沙地带的袭击已造成69733人死亡、170863人受伤。"
+	//text = "财联社电：英伟达周五冲高回落，股价涨幅收于1%，市场普遍认为其走势疲软"
+	//text = "【本轮巴以冲突已致加沙地带69733人死亡】财联社11月22日电，当地时间22日下午，以军对加沙城西部一辆汽车发动空袭，已造成5人死亡，多人受伤。自2023年10月7日巴以新一轮大规模冲突爆发以来，以色列对加沙地带的袭击已造成69733人死亡、170863人受伤。"
 	//text = "【牛肉加工亏损 美国泰森公司关停缩减相关业务】财联社11月22日电，受牛肉加工业务亏损影响，当地时间21日，美国泰森食品公司发布公告称，将关闭位于内布拉斯加州的一家大型牛肉加工厂，还计划缩小得克萨斯州一家牛肉加工厂的生产规模。根据泰森食品公司的公告，被关闭的这家工厂位于内布拉斯加州列克星敦，日均可宰杀并处理大约5000头牛，约占全美日均牛肉屠宰数量的4.8%。与此同时，公司还计划缩小得克萨斯州一家牛肉加工厂的生产规模，这家工厂每天大约可屠宰6000头牛。据悉，泰森此次业务调整影响两个工厂大约5000个工作岗位。《华尔街日报》报道称，泰森是美国四大肉类加工公司中首家关闭主要牛肉加工厂的公司，其最新财报显示，2025财年牛肉加工是唯一亏损的业务部门，调整后的营业亏损为4.26亿美元。"
 	// 分析情感
 	words := splitWords(text)
--- a/backend/db/db.go
+++ b/backend/db/db.go
@@ -1,13 +1,14 @@
 package db

 import (
+	"log"
+	"os"
+	"time"
+
 	"github.com/glebarez/sqlite"
 	"gorm.io/gorm"
 	"gorm.io/gorm/logger"
 	"gorm.io/plugin/dbresolver"
-	"log"
-	"os"
-	"time"
 )

 var Dao *gorm.DB
@@ -26,7 +27,7 @@ func Init(sqlitePath string) {
 	var openDb *gorm.DB
 	var err error
 	if sqlitePath == "" {
-		sqlitePath = "data/stock.db?cache=shared&mode=rwc&_journal_mode=WAL"
+		sqlitePath = "data/stock.db?cache_size=-524288&journal_mode=WAL"
 	}
 	openDb, err = gorm.Open(sqlite.Open(sqlitePath), &gorm.Config{
 		Logger:                                   dbLogger,
@@ -48,8 +49,8 @@ func Init(sqlitePath string) {
 	if err != nil {
 		log.Fatalf("openDb.DB error is  %s", err.Error())
 	}
-	dbCon.SetMaxIdleConns(10)
-	dbCon.SetMaxOpenConns(100)
+	dbCon.SetMaxIdleConns(4)
+	dbCon.SetMaxOpenConns(10)
 	dbCon.SetConnMaxLifetime(time.Hour)
 	Dao = openDb
 }
--- a/backend/models/models.go
+++ b/backend/models/models.go
@@ -232,15 +232,16 @@ type Prompt struct {
 type Telegraph struct {
 	gorm.Model
 	Time            string          `json:"time"`
-	DataTime        *time.Time      `json:"dataTime"`
-	Content         string          `json:"content"`
+	DataTime        *time.Time      `json:"dataTime" gorm:"index"`
+	Title           string          `json:"title" gorm:"index"`
+	Content         string          `json:"content" gorm:"index"`
 	SubjectTags     []string        `json:"subjects" gorm:"-:all"`
 	StocksTags      []string        `json:"stocks" gorm:"-:all"`
-	IsRed           bool            `json:"isRed"`
+	IsRed           bool            `json:"isRed" gorm:"index"`
 	Url             string          `json:"url"`
-	Source          string          `json:"source"`
+	Source          string          `json:"source" gorm:"index"`
 	TelegraphTags   []TelegraphTags `json:"tags" gorm:"-:migration;foreignKey:TelegraphId"`
-	SentimentResult string          `json:"sentimentResult"`
+	SentimentResult string          `json:"sentimentResult" gorm:"index"`
 }
 type TelegraphTags struct {
 	gorm.Model
@@ -331,6 +332,22 @@ type TVNews struct {
 		LogoId string `json:"logo_id"`
 	} `json:"provider"`
 }
+type TVNewsDetail struct {
+	ShortDescription string `json:"shortDescription"`
+	Tags             []struct {
+		Title string `json:"title"`
+		Args  []struct {
+			Id    string `json:"id"`
+			Value string `json:"value"`
+		} `json:"args"`
+	} `json:"tags"`
+	Copyright string `json:"copyright"`
+	Id        string `json:"id"`
+	Title     string `json:"title"`
+	Published int    `json:"published"`
+	Urgency   int    `json:"urgency"`
+	StoryPath string `json:"storyPath"`
+}

 type XUEQIUHot struct {
 	Data struct {
@@ -702,3 +719,51 @@ type BKDict struct {
 func (b BKDict) TableName() string {
 	return "bk_dict"
 }
+
+type WordAnalyze struct {
+	gorm.Model
+	DataTime *time.Time `json:"dataTime" gorm:"index;autoCreateTime"`
+	WordFreqWithWeight
+}
+
+// WordFreqWithWeight 词频统计结果，包含权重信息
+type WordFreqWithWeight struct {
+	Word      string
+	Frequency int
+	Weight    float64
+	Score     float64
+}
+
+// SentimentResult 情感分析结果类型
+type SentimentResult struct {
+	Score         float64       // 情感得分
+	Category      SentimentType // 情感类别
+	PositiveCount int           // 正面词数量
+	NegativeCount int           // 负面词数量
+	Description   string        // 情感描述
+}
+
+type SentimentResultAnalyze struct {
+	gorm.Model
+	DataTime *time.Time `json:"dataTime" gorm:"index;autoCreateTime"`
+	SentimentResult
+}
+
+// SentimentType 情感类型枚举
+type SentimentType int
+
+type HotStrategy struct {
+	ChgEffect bool               `json:"chgEffect"`
+	Code      int                `json:"code"`
+	Data      []*HotStrategyData `json:"data"`
+	Message   string             `json:"message"`
+}
+
+type HotStrategyData struct {
+	Chg       float64 `json:"chg" md:"平均涨幅(%)"`
+	Code      string  `json:"code" md:"-"`
+	HeatValue int     `json:"heatValue" md:"热度值"`
+	Market    string  `json:"market" md:"-"`
+	Question  string  `json:"question" md:"选股策略"`
+	Rank      int     `json:"rank" md:"-"`
+}
--- a/frontend/package-lock.json
+++ b/frontend/package-lock.json
@@ -33,14 +33,14 @@
        "@vicons/ionicons5": "^0.13.0",
        "@vicons/material": "^0.13.0",
        "@vicons/tabler": "^0.13.0",
-        "@vitejs/plugin-vue": "^5.2.1",
+        "@vitejs/plugin-vue": "^6.0.2",
        "html-docx-js-typescript": "^0.1.5",
        "less": "^4.4.0",
-        "naive-ui": "^2.41.0",
+        "naive-ui": "^2.43.2",
        "unplugin-auto-import": "^20.0.0",
        "unplugin-vue-components": "^29.0.0",
        "vfonts": "^0.0.3",
-        "vite": "^6.3.5"
+        "vite": "7.2.4"
      }
    },
    "node_modules/@babel/code-frame": {
@@ -480,6 +480,7 @@
      "resolved": "https://registry.npmmirror.com/@css-render/vue3-ssr/-/vue3-ssr-0.15.14.tgz",
      "integrity": "sha512-//8027GSbxE9n3QlD73xFY6z4ZbHbvrOVB7AO6hsmrEzGbg+h2A09HboUyDgu+xsmj7JnvJD39Irt+2D0+iV8g==",
      "dev": true,
+      "license": "MIT",
      "peerDependencies": {
        "vue": "^3.0.11"
      }
@@ -924,7 +925,8 @@
      "version": "3.4.0",
      "resolved": "https://registry.npmmirror.com/@juggle/resize-observer/-/resize-observer-3.4.0.tgz",
      "integrity": "sha512-dfLbk+PwWvFzSxwk3n5ySL0hfBog779o8h68wK/7/APo/7cgyWp5jcXockbxdk5kFRkbeXWm4Fbi9FrdN381sA==",
-      "dev": true
+      "dev": true,
+      "license": "Apache-2.0"
    },
    "node_modules/@lezer/common": {
      "version": "1.2.3",
@@ -1115,6 +1117,13 @@
        "url": "https://opencollective.com/popperjs"
      }
    },
+    "node_modules/@rolldown/pluginutils": {
+      "version": "1.0.0-beta.50",
+      "resolved": "https://registry.npmmirror.com/@rolldown/pluginutils/-/pluginutils-1.0.0-beta.50.tgz",
+      "integrity": "sha512-5e76wQiQVeL1ICOZVUg4LSOVYg9jyhGCin+icYozhsUzM+fHE7kddi1bdiE0jwVqTfkjba3jUFbEkoC9WkdvyA==",
+      "dev": true,
+      "license": "MIT"
+    },
    "node_modules/@rollup/rollup-android-arm-eabi": {
      "version": "4.43.0",
      "resolved": "https://registry.npmjs.org/@rollup/rollup-android-arm-eabi/-/rollup-android-arm-eabi-4.43.0.tgz",
@@ -1486,9 +1495,10 @@
      "integrity": "sha512-sVDA58zAw4eWAffKOaQH5/5j3XeayukzDk+ewSsnv3p4yJEZHCCzMDiZM8e0OUrRvmpGZ85jf4yDHkHsgBNr9Q=="
    },
    "node_modules/@types/lodash": {
-      "version": "4.17.15",
-      "resolved": "https://registry.npmmirror.com/@types/lodash/-/lodash-4.17.15.tgz",
-      "integrity": "sha512-w/P33JFeySuhN6JLkysYUK2gEmy9kHHFN7E8ro0tkfmlDOgxBDzWEZ/J8cWA+fHqFevpswDTFZnDx+R9lbL6xw=="
+      "version": "4.17.21",
+      "resolved": "https://registry.npmmirror.com/@types/lodash/-/lodash-4.17.21.tgz",
+      "integrity": "sha512-FOvQ0YPD5NOfPgMzJihoT+Za5pdkDJWcbpuj1DjaKZIr/gxodQjY/uWEFlTNqW2ugXHUiL8lRQgw63dzKHZdeQ==",
+      "license": "MIT"
    },
    "node_modules/@types/lodash-es": {
      "version": "4.17.12",
@@ -1602,15 +1612,19 @@
      "dev": true
    },
    "node_modules/@vitejs/plugin-vue": {
-      "version": "5.2.1",
-      "resolved": "https://registry.npmmirror.com/@vitejs/plugin-vue/-/plugin-vue-5.2.1.tgz",
-      "integrity": "sha512-cxh314tzaWwOLqVes2gnnCtvBDcM1UMdn+iFR+UjAn411dPT3tOmqrJjbMd7koZpMAmBM/GqeV4n9ge7JSiJJQ==",
+      "version": "6.0.2",
+      "resolved": "https://registry.npmmirror.com/@vitejs/plugin-vue/-/plugin-vue-6.0.2.tgz",
+      "integrity": "sha512-iHmwV3QcVGGvSC1BG5bZ4z6iwa1SOpAPWmnjOErd4Ske+lZua5K9TtAVdx0gMBClJ28DViCbSmZitjWZsWO3LA==",
      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "@rolldown/pluginutils": "1.0.0-beta.50"
+      },
      "engines": {
-        "node": "^18.0.0 || >=20.0.0"
+        "node": "^20.19.0 || >=22.12.0"
      },
      "peerDependencies": {
-        "vite": "^5.0.0 || ^6.0.0",
+        "vite": "^5.0.0 || ^6.0.0 || ^7.0.0",
        "vue": "^3.2.25"
      }
    },
@@ -2100,7 +2114,8 @@
      "version": "0.2.4",
      "resolved": "https://registry.npmmirror.com/evtd/-/evtd-0.2.4.tgz",
      "integrity": "sha512-qaeGN5bx63s/AXgQo8gj6fBkxge+OoLddLniox5qtLAEY5HSnuSlISXVPxnSae1dWblvTh4/HoMIB+mbMsvZzw==",
-      "dev": true
+      "dev": true,
+      "license": "MIT"
    },
    "node_modules/exsolve": {
      "version": "1.0.7",
@@ -2110,11 +2125,14 @@
      "license": "MIT"
    },
    "node_modules/fdir": {
-      "version": "6.4.6",
-      "resolved": "https://registry.npmjs.org/fdir/-/fdir-6.4.6.tgz",
-      "integrity": "sha512-hiFoqpyZcfNm1yc4u8oWCf9A2c4D3QjCrks3zmoVKVxpQRzmPNar1hUJcBG2RQHvEVGDN+Jm81ZheVLAQMK6+w==",
+      "version": "6.5.0",
+      "resolved": "https://registry.npmmirror.com/fdir/-/fdir-6.5.0.tgz",
+      "integrity": "sha512-tIbYtZbucOs0BRGqPJkshJUYdL+SDH7dVM8gjy+ERp3WAUjLEFJE+02kanyHtwjWOnwrKYBiwAmM0p4kLJAnXg==",
      "dev": true,
      "license": "MIT",
+      "engines": {
+        "node": ">=12.0.0"
+      },
      "peerDependencies": {
        "picomatch": "^3 || ^4"
      },
@@ -2603,46 +2621,36 @@
      "license": "MIT"
    },
    "node_modules/naive-ui": {
-      "version": "2.41.0",
-      "resolved": "https://registry.npmmirror.com/naive-ui/-/naive-ui-2.41.0.tgz",
-      "integrity": "sha512-KnmLg+xPLwXV8QVR7ZZ69eCjvel7R5vru8+eFe4VoAJHEgqAJgVph6Zno9K2IVQRpSF3GBGea3tjavslOR4FAA==",
+      "version": "2.43.2",
+      "resolved": "https://registry.npmmirror.com/naive-ui/-/naive-ui-2.43.2.tgz",
+      "integrity": "sha512-YlLMnGrwGTOc+zMj90sG3ubaH5/7czsgLgGcjTLA981IUaz8r6t4WIujNt8r9PNr+dqv6XNEr0vxkARgPPjfBQ==",
      "dev": true,
+      "license": "MIT",
      "dependencies": {
        "@css-render/plugin-bem": "^0.15.14",
        "@css-render/vue3-ssr": "^0.15.14",
        "@types/katex": "^0.16.2",
-        "@types/lodash": "^4.14.198",
-        "@types/lodash-es": "^4.17.9",
+        "@types/lodash": "^4.17.20",
+        "@types/lodash-es": "^4.17.12",
        "async-validator": "^4.2.5",
        "css-render": "^0.15.14",
        "csstype": "^3.1.3",
-        "date-fns": "^3.6.0",
-        "date-fns-tz": "^3.1.3",
+        "date-fns": "^4.1.0",
+        "date-fns-tz": "^3.2.0",
        "evtd": "^0.2.4",
        "highlight.js": "^11.8.0",
        "lodash": "^4.17.21",
        "lodash-es": "^4.17.21",
-        "seemly": "^0.3.8",
+        "seemly": "^0.3.10",
        "treemate": "^0.3.11",
        "vdirs": "^0.1.8",
        "vooks": "^0.2.12",
-        "vueuc": "^0.4.63"
+        "vueuc": "^0.4.65"
      },
      "peerDependencies": {
        "vue": "^3.0.0"
      }
    },
-    "node_modules/naive-ui/node_modules/date-fns": {
-      "version": "3.6.0",
-      "resolved": "https://registry.npmmirror.com/date-fns/-/date-fns-3.6.0.tgz",
-      "integrity": "sha512-fRHTG8g/Gif+kSh50gaGEdToemgfj74aRX3swtiouboip5JDLAyDE9F11nHMIcvOaXeOC6D7SpNhi7uFyB7Uww==",
-      "dev": true,
-      "license": "MIT",
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/kossnocorp"
-      }
-    },
    "node_modules/nanoid": {
      "version": "3.3.11",
      "resolved": "https://registry.npmjs.org/nanoid/-/nanoid-3.3.11.tgz",
@@ -2930,7 +2938,8 @@
      "version": "0.3.10",
      "resolved": "https://registry.npmmirror.com/seemly/-/seemly-0.3.10.tgz",
      "integrity": "sha512-2+SMxtG1PcsL0uyhkumlOU6Qo9TAQ/WyH7tthnPIOQB05/12jz9naq6GZ6iZ6ApVsO3rr2gsnTf3++OV63kE1Q==",
-      "dev": true
+      "dev": true,
+      "license": "MIT"
    },
    "node_modules/select": {
      "version": "1.1.2",
@@ -3074,14 +3083,14 @@
      "license": "MIT"
    },
    "node_modules/tinyglobby": {
-      "version": "0.2.14",
-      "resolved": "https://registry.npmjs.org/tinyglobby/-/tinyglobby-0.2.14.tgz",
-      "integrity": "sha512-tX5e7OM1HnYr2+a2C/4V0htOcSQcoSTH9KgJnVvNm5zm/cyEWKJ7j7YutsH9CxMdtOkkLFy2AHrMci9IM8IPZQ==",
+      "version": "0.2.15",
+      "resolved": "https://registry.npmmirror.com/tinyglobby/-/tinyglobby-0.2.15.tgz",
+      "integrity": "sha512-j2Zq4NyQYG5XMST4cbs02Ak8iJUdxRM0XI5QyxXuZOzKOINmWurp3smXu3y5wDcJrptwpSjgXHzIQxR0omXljQ==",
      "dev": true,
      "license": "MIT",
      "dependencies": {
-        "fdir": "^6.4.4",
-        "picomatch": "^4.0.2"
+        "fdir": "^6.5.0",
+        "picomatch": "^4.0.3"
      },
      "engines": {
        "node": ">=12.0.0"
@@ -3309,6 +3318,7 @@
      "resolved": "https://registry.npmmirror.com/vdirs/-/vdirs-0.1.8.tgz",
      "integrity": "sha512-H9V1zGRLQZg9b+GdMk8MXDN2Lva0zx72MPahDKc30v+DtwKjfyOSXWRIX4t2mhDubM1H09gPhWeth/BJWPHGUw==",
      "dev": true,
+      "license": "MIT",
      "dependencies": {
        "evtd": "^0.2.2"
      },
@@ -3323,24 +3333,24 @@
      "dev": true
    },
    "node_modules/vite": {
-      "version": "6.3.5",
-      "resolved": "https://registry.npmjs.org/vite/-/vite-6.3.5.tgz",
-      "integrity": "sha512-cZn6NDFE7wdTpINgs++ZJ4N49W2vRp8LCKrn3Ob1kYNtOo21vfDoaV5GzBfLU4MovSAB8uNRm4jgzVQZ+mBzPQ==",
+      "version": "7.2.4",
+      "resolved": "https://registry.npmmirror.com/vite/-/vite-7.2.4.tgz",
+      "integrity": "sha512-NL8jTlbo0Tn4dUEXEsUg8KeyG/Lkmc4Fnzb8JXN/Ykm9G4HNImjtABMJgkQoVjOBN/j2WAwDTRytdqJbZsah7w==",
      "dev": true,
      "license": "MIT",
      "dependencies": {
        "esbuild": "^0.25.0",
-        "fdir": "^6.4.4",
-        "picomatch": "^4.0.2",
-        "postcss": "^8.5.3",
-        "rollup": "^4.34.9",
-        "tinyglobby": "^0.2.13"
+        "fdir": "^6.5.0",
+        "picomatch": "^4.0.3",
+        "postcss": "^8.5.6",
+        "rollup": "^4.43.0",
+        "tinyglobby": "^0.2.15"
      },
      "bin": {
        "vite": "bin/vite.js"
      },
      "engines": {
-        "node": "^18.0.0 || ^20.0.0 || >=22.0.0"
+        "node": "^20.19.0 || >=22.12.0"
      },
      "funding": {
        "url": "https://github.com/vitejs/vite?sponsor=1"
@@ -3349,14 +3359,14 @@
        "fsevents": "~2.3.3"
      },
      "peerDependencies": {
-        "@types/node": "^18.0.0 || ^20.0.0 || >=22.0.0",
+        "@types/node": "^20.19.0 || >=22.12.0",
        "jiti": ">=1.21.0",
-        "less": "*",
+        "less": "^4.0.0",
        "lightningcss": "^1.21.0",
-        "sass": "*",
-        "sass-embedded": "*",
-        "stylus": "*",
-        "sugarss": "*",
+        "sass": "^1.70.0",
+        "sass-embedded": "^1.70.0",
+        "stylus": ">=0.54.8",
+        "sugarss": "^5.0.0",
        "terser": "^5.16.0",
        "tsx": "^4.8.1",
        "yaml": "^2.4.2"
@@ -3442,6 +3452,7 @@
      "resolved": "https://registry.npmmirror.com/vooks/-/vooks-0.2.12.tgz",
      "integrity": "sha512-iox0I3RZzxtKlcgYaStQYKEzWWGAduMmq+jS7OrNdQo1FgGfPMubGL3uGHOU9n97NIvfFDBGnpSvkWyb/NSn/Q==",
      "dev": true,
+      "license": "MIT",
      "dependencies": {
        "evtd": "^0.2.2"
      },
@@ -3493,10 +3504,11 @@
      }
    },
    "node_modules/vueuc": {
-      "version": "0.4.64",
-      "resolved": "https://registry.npmmirror.com/vueuc/-/vueuc-0.4.64.tgz",
-      "integrity": "sha512-wlJQj7fIwKK2pOEoOq4Aro8JdPOGpX8aWQhV8YkTW9OgWD2uj2O8ANzvSsIGjx7LTOc7QbS7sXdxHi6XvRnHPA==",
+      "version": "0.4.65",
+      "resolved": "https://registry.npmmirror.com/vueuc/-/vueuc-0.4.65.tgz",
+      "integrity": "sha512-lXuMl+8gsBmruudfxnMF9HW4be8rFziylXFu1VHVNbLVhRTXXV4njvpRuJapD/8q+oFEMSfQMH16E/85VoWRyQ==",
      "dev": true,
+      "license": "MIT",
      "dependencies": {
        "@css-render/vue3-ssr": "^0.15.10",
        "@juggle/resize-observer": "^3.3.1",
--- a/frontend/package.json
+++ b/frontend/package.json
@@ -34,14 +34,14 @@
    "@vicons/ionicons5": "^0.13.0",
    "@vicons/material": "^0.13.0",
    "@vicons/tabler": "^0.13.0",
-    "@vitejs/plugin-vue": "^5.2.1",
+    "@vitejs/plugin-vue": "^6.0.2",
    "html-docx-js-typescript": "^0.1.5",
    "less": "^4.4.0",
-    "naive-ui": "^2.41.0",
+    "naive-ui": "^2.43.2",
    "unplugin-auto-import": "^20.0.0",
    "unplugin-vue-components": "^29.0.0",
    "vfonts": "^0.0.3",
-    "vite": "^6.3.5"
+    "vite": "7.2.4"
  },
  "keywords": [
    "AI赋能股票分析",
--- a/frontend/package.json.md5
+++ b/frontend/package.json.md5
@@ -1 +1 @@
-b0b9f944d9af9c00b6d48234793db58c
+f4fb0059ba6044c039be717fcc2e40bc
--- a/frontend/src/components/AnalyzeMartket.vue
+++ b/frontend/src/components/AnalyzeMartket.vue
@@ -1,6 +1,6 @@
 <script setup>

-import {AnalyzeSentimentWithFreqWeight} from "../../wailsjs/go/main/App";
+import {AnalyzeSentimentWithFreqWeight,GlobalStockIndexes} from "../../wailsjs/go/main/App";
 import * as echarts from "echarts";
 import {onMounted,onUnmounted, ref} from "vue";
 import _ from "lodash";
@@ -22,24 +22,59 @@ const { name,darkTheme,kDays ,chartHeight} = defineProps({
    default: false
  }
 })
+const common = ref([])
+const america = ref([])
+const europe = ref([])
+const asia = ref([])
+const mainIndex = ref([])
+const chinaIndex = ref([])
+const other = ref([])
+const globalStockIndexes = ref(null)
 const chartRef = ref(null);
 const gaugeChartRef = ref(null);
+const triggerAreas=ref(["main","extra","arrow"])
 let handleChartInterval=null
+let handleIndexInterval=null
 onMounted(() => {
  handleChart()
+  getIndex()
  handleChartInterval=setInterval(function () {
    handleChart()
  }, 1000 * 60)
+
+  handleIndexInterval=setInterval(function () {
+    getIndex()
+  }, 1000 * 2)
 })

 onUnmounted(()=>{
  clearInterval(handleChartInterval)
+  clearInterval(handleIndexInterval)
 })

+function getIndex() {
+  GlobalStockIndexes().then((res) => {
+    globalStockIndexes.value = res
+    common.value = res["common"]
+    america.value = res["america"]
+    europe.value = res["europe"]
+    asia.value = res["asia"]
+    other.value = res["other"]
+    mainIndex.value=asia.value.filter(function (item) {
+      return ['上海',"深圳","香港","台湾","北京","东京","首尔","纽约","纳斯达克"].includes(item.location)
+    }).concat(america.value.filter(function (item) {
+      return ['上海',"深圳","香港","台湾","北京","东京","首尔","纽约","纳斯达克"].includes(item.location)
+    }))
+
+    chinaIndex.value=asia.value.filter(function (item) {
+      return ['上海',"深圳","香港","台湾","北京"].includes(item.location)
+    })
+
+  })
+}
 function  handleChart(){
  const formatUtil = echarts.format;
  AnalyzeSentimentWithFreqWeight("").then((res) => {
-    console.log(res)
    const treemapchart = echarts.init(chartRef.value);
    const gaugeChart=echarts.init(gaugeChartRef.value);
    let data = res['frequencies'].map(item => ({
@@ -117,7 +152,7 @@ function  handleChart(){
      },
      tooltip: {
        formatter: function (info) {
-          var value = info.value;
+          var value = info.value.toFixed(2);
          var frequency = info.data.frequency;
          var weight = info.data.weight;
          return [
@@ -235,7 +270,7 @@ function  handleChart(){
          data: [
            {
              value: res.result.Score*0.2,
-              name: '市场情绪'
+              name: '市场情绪强弱'
            }
          ]
        }
@@ -247,14 +282,33 @@ function  handleChart(){
 </script>

 <template>
-  <n-grid :cols="24" :y-gap="0">
-    <n-gi span="6">
-      <div ref="gaugeChartRef" style="width: 100%;height: auto;--wails-draggable:no-drag" :style="{height:chartHeight+'px'}" ></div>
-    </n-gi>
-    <n-gi span="18">
-      <div ref="chartRef" style="width: 100%;height: auto;--wails-draggable:no-drag" :style="{height:chartHeight+'px'}" ></div>
-    </n-gi>
-  </n-grid>
+  <n-collapse :trigger-areas="triggerAreas" :default-expanded-names="['1']" display-directive="show">
+    <n-collapse-item  name="1" >
+      <template #header>
+          <n-flex>
+              <n-tag size="small" :bordered="false" v-for="(item, index) in mainIndex" :type="item.zdf>0?'error':'success'">
+                <n-flex>
+                  <n-image :width="20" :src="item.img" />
+                  <n-text style="font-size: 14px" :type="item.zdf>0?'error':'success'">{{item.name}}&nbsp;{{item.zxj}}</n-text>
+                  <n-number-animation :precision="2" :from="0" :to="item.zdf" style="font-size: 14px"/>
+                  <n-text style="margin-left: -12px;font-size: 14px" :type="item.zdf>0?'error':'success'">%</n-text>
+                </n-flex>
+              </n-tag>
+          </n-flex>
+      </template>
+      <template #header-extra>
+        主要股指
+      </template>
+      <n-grid :cols="24" :y-gap="0">
+        <n-gi span="6">
+          <div ref="gaugeChartRef" style="width: 100%;height: auto;--wails-draggable:no-drag" :style="{height:chartHeight+'px'}" ></div>
+        </n-gi>
+        <n-gi span="18">
+          <div ref="chartRef" style="width: 100%;height: auto;--wails-draggable:no-drag" :style="{height:chartHeight+'px'}" ></div>
+        </n-gi>
+      </n-grid>
+    </n-collapse-item>
+  </n-collapse>
 </template>

 <style scoped>
--- a/frontend/src/components/SelectStock.vue
+++ b/frontend/src/components/SelectStock.vue
@@ -125,7 +125,12 @@ function Search() {
      // 计算并设置表格宽度
      tableScrollX.value = calculateTableWidth(columns.value);
    } else {
-      message.error(res.msg)
+      if(res.msg){
+        message.error(res.msg)
+      }
+      if(res.message){
+        message.error(res.message)
+      }
    }
  }).catch(err => {
    message.error(err)
--- a/frontend/src/components/market.vue
+++ b/frontend/src/components/market.vue
@@ -45,6 +45,7 @@ const panelHeight = ref(window.innerHeight - 240)

 const telegraphList = ref([])
 const sinaNewsList = ref([])
+const foreignNewsList = ref([])
 const common = ref([])
 const america = ref([])
 const europe = ref([])
@@ -54,6 +55,7 @@ const globalStockIndexes = ref(null)
 const summaryModal = ref(false)
 const summaryBTN = ref(true)
 const darkTheme = ref(false)
+const httpProxyEnabled = ref(false)
 const theme = computed(() => {
  return darkTheme ? 'dark' : 'light'
 })
@@ -76,6 +78,7 @@ const indexInterval = ref(null)
 const indexIndustryRank = ref(null)
 const stockCode= ref('')
 const enableTools= ref(true)
+const thinkingMode = ref(true)
 const treemapRef = ref(null);
 let treemapchart =null;

@@ -96,6 +99,7 @@ onBeforeMount(() => {
  GetConfig().then(result => {
    summaryBTN.value = result.openAiEnable
    darkTheme.value = result.darkTheme
+    httpProxyEnabled.value = result.httpProxyEnabled
  })
  GetPromptTemplates("", "").then(res => {
    promptTemplates.value = res
@@ -107,13 +111,15 @@ onBeforeMount(() => {
    aiConfigs.value = res
    aiConfigId.value = res[0].ID
  })
-
  GetTelegraphList("财联社电报").then((res) => {
    telegraphList.value = res
  })
  GetTelegraphList("新浪财经").then((res) => {
    sinaNewsList.value = res
  })
+  GetTelegraphList("外媒").then((res) => {
+    foreignNewsList.value = res
+  })
  getIndex();
  industryRank();
  indexInterval.value = setInterval(() => {
@@ -164,6 +170,14 @@ EventsOn("newSinaNews", (data) => {
  sinaNewsList.value.unshift(...data)
  }
 })
+EventsOn("tradingViewNews", (data) => {
+  if (data!=null) {
+    for (let i = 0; i < data.length; i++) {
+      foreignNewsList.value.pop()
+    }
+    foreignNewsList.value.unshift(...data)
+  }
+})

 //获取页面高度
 window.onresize = () => {
@@ -210,7 +224,7 @@ function reAiSummary() {
  aiSummary.value = ""
  summaryModal.value = true
  loading.value = true
-  SummaryStockNews(question.value,aiConfigId.value, sysPromptId.value,enableTools.value)
+  SummaryStockNews(question.value,aiConfigId.value, sysPromptId.value,enableTools.value,thinkingMode.value)
 }

 function getAiSummary() {
@@ -324,6 +338,9 @@ function ReFlesh(source) {
    if (source === "新浪财经") {
      sinaNewsList.value = res
    }
+    if (source === "外媒") {
+      foreignNewsList.value = res
+    }
  })
 }
 </script>
@@ -337,13 +354,17 @@ function ReFlesh(source) {
            <AnalyzeMartket :dark-theme="darkTheme" :chart-height="300" :kDays="1" :name="'最近24小时热词'" />
          </n-gi>
          <n-gi>
-            <n-grid :cols="2" :y-gap="0">
+            <n-grid :cols="httpProxyEnabled?3:2" :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-gi v-if="httpProxyEnabled">
+                <news-list :newsList="foreignNewsList" :header-title="'外媒'" @update:message="ReFlesh"></news-list>
+              </n-gi>
+
            </n-grid>
          </n-gi>
        </n-grid>
@@ -684,6 +705,16 @@ function ReFlesh(source) {
            不启用AI函数工具调用
          </template>
        </n-switch>
+        <n-switch v-model:value="thinkingMode" :round="false">
+          <template #checked>
+            启用思考模式
+          </template>
+          <template #unchecked>
+            不启用思考模式
+          </template>
+        </n-switch>
+
+
        <n-gradient-text type="error" style="margin-left: 10px">*AI函数工具调用可以增强AI获取数据的能力,但会消耗更多tokens。</n-gradient-text>
      </n-flex>
      <n-flex justify="space-between" style="margin-bottom: 10px">
--- a/frontend/src/components/newsList.vue
+++ b/frontend/src/components/newsList.vue
@@ -29,8 +29,24 @@ const updateMessage = () => {
      </n-flex>
    </template>
    <n-list-item v-for="item in newsList">
-      <n-space justify="start">
-        <n-text justify="start" :bordered="false" :type="item.isRed?'error':'info'">
+      <n-space justify="start" >
+<!--        <n-text justify="start" :bordered="false" :type="item.isRed?'error':'info'" style="overflow-wrap: break-word;">-->
+<!--          <n-tag size="small" :type="item.isRed?'error':'warning'" :bordered="false"> {{ item.time }}</n-tag>-->
+<!--          <n-text size="small" v-if="item.title"  type="warning" :bordered="false">{{ item.title }}&nbsp;&nbsp;</n-text>-->
+<!--          <n-text style="overflow-wrap: break-word;word-break: break-all; word-wrap: break-word;" :type="item.isRed?'error':'info'">{{ item.content }}</n-text>-->
+<!--        </n-text>-->
+        <n-collapse v-if="item.title" arrow-placement="right">
+          <n-collapse-item :name="item.title">
+            <template #header>
+              <n-tag size="small" :type="item.isRed?'error':'warning'" :bordered="false"> {{ item.time }}</n-tag>
+              <n-text size="small" :type="item.isRed?'error':'info'" :bordered="false">{{ item.title }}</n-text>
+            </template>
+            <n-text justify="start" :bordered="false" :type="item.isRed?'error':'info'">
+              {{ item.content }}
+            </n-text>
+          </n-collapse-item>
+        </n-collapse>
+        <n-text  v-if="!item.title" justify="start" :bordered="false" :type="item.isRed?'error':'info'">
          <n-tag size="small" :type="item.isRed?'error':'warning'" :bordered="false"> {{ item.time }}</n-tag>
          {{ item.content }}
        </n-text>
--- a/frontend/src/components/settings.vue
+++ b/frontend/src/components/settings.vue
@@ -46,6 +46,7 @@ const formValue = ref({
  httpProxy:"",
  httpProxyEnabled:false,
  enableAgent: false,
+  qgqpBId: '',
 })

 // 添加一个新的AI配置到列表
@@ -105,6 +106,7 @@ onMounted(() => {
    formValue.value.httpProxy=res.httpProxy;
    formValue.value.httpProxyEnabled=res.httpProxyEnabled;
    formValue.value.enableAgent = res.enableAgent;
+    formValue.value.qgqpBId = res.qgqpBId;

  })

@@ -145,6 +147,7 @@ function saveConfig() {
    httpProxy:formValue.value.httpProxy,
    httpProxyEnabled:formValue.value.httpProxyEnabled,
    enableAgent: formValue.value.enableAgent,
+    qgqpBId: formValue.value.qgqpBId
  })

  if (config.sponsorCode) {
@@ -235,6 +238,7 @@ function importConfig() {
      formValue.value.httpProxy=config.httpProxy
      formValue.value.httpProxyEnabled=config.httpProxyEnabled
      formValue.value.enableAgent = config.enableAgent
+      formValue.value.qgqpBId = config.qgqpBId
    };
    reader.readAsText(file);
  };
@@ -328,6 +332,9 @@ function deletePrompt(ID) {
            <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="东财唯一标识：" path="qgqpBId">
+              <n-input type="text" placeholder="东财唯一标识" v-model:value="formValue.qgqpBId" clearable/>
+            </n-form-item-gi>

            <n-form-item-gi :span="11" label="赞助码：" path="sponsorCode">
              <n-input-group>
--- a/frontend/src/components/stock.vue
+++ b/frontend/src/components/stock.vue
@@ -110,6 +110,7 @@ const modalShow4 = ref(false)
 const modalShow5 = ref(false)
 const addBTN = ref(true)
 const enableTools = ref(false)
+const thinkingMode = ref(false)
 const formModel = ref({
  name: "",
  code: "",
@@ -1580,7 +1581,7 @@ function aiReCheckStock(stock, stockCode) {
  //

  //message.info("sysPromptId:"+data.sysPromptId)
-  NewChatStream(stock, stockCode, data.question, data.aiConfigId, data.sysPromptId, enableTools.value)
+  NewChatStream(stock, stockCode, data.question, data.aiConfigId, data.sysPromptId, enableTools.value,thinkingMode.value)
 }

 function aiCheckStock(stock, stockCode) {
@@ -2353,6 +2354,14 @@ function searchStockReport(stockCode) {
            不启用AI函数工具调用
          </template>
        </n-switch>
+        <n-switch v-model:value="thinkingMode" :round="false">
+          <template #checked>
+            启用思考模式
+          </template>
+          <template #unchecked>
+            不启用思考模式
+          </template>
+        </n-switch>
        <n-gradient-text type="error" style="margin-left: 10px">
          *AI函数工具调用可以增强AI获取数据的能力,但会消耗更多tokens。
        </n-gradient-text>
--- a/frontend/src/components/stockhotmap.vue
+++ b/frontend/src/components/stockhotmap.vue
@@ -24,6 +24,10 @@ import EmbeddedUrl from "./EmbeddedUrl.vue";
    <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="消息墙" tab="消息墙">
+      <embedded-url url="https://go-stock.sparkmemory.top:16667/go-stock"  :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
@@ -12,7 +12,7 @@ export function AddPrompt(arg1:models.Prompt):Promise<string>;

 export function AddStockGroup(arg1:number,arg2:string):Promise<string>;

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

 export function AnalyzeSentimentWithFreqWeight(arg1:string):Promise<Record<string, any>>;

@@ -96,7 +96,7 @@ export function InvestCalendarTimeLine(arg1:string):Promise<Array<any>>;

 export function LongTigerRank(arg1:string):Promise<any>;

-export function NewChatStream(arg1:string,arg2:string,arg3:string,arg4:number,arg5:any,arg6:boolean):Promise<void>;
+export function NewChatStream(arg1:string,arg2:string,arg3:string,arg4:number,arg5:any,arg6:boolean,arg7:boolean):Promise<void>;

 export function NewsPush(arg1:any):Promise<void>;

@@ -136,7 +136,7 @@ export function StockNotice(arg1:string):Promise<Array<any>>;

 export function StockResearchReport(arg1:string):Promise<Array<any>>;

-export function SummaryStockNews(arg1:string,arg2:number,arg3:any,arg4:boolean):Promise<void>;
+export function SummaryStockNews(arg1:string,arg2:number,arg3:any,arg4:boolean,arg5:boolean):Promise<void>;

 export function UnFollow(arg1:string):Promise<string>;

--- a/frontend/wailsjs/go/main/App.js
+++ b/frontend/wailsjs/go/main/App.js
@@ -186,8 +186,8 @@ export function LongTigerRank(arg1) {
  return window['go']['main']['App']['LongTigerRank'](arg1);
 }

-export function NewChatStream(arg1, arg2, arg3, arg4, arg5, arg6) {
-  return window['go']['main']['App']['NewChatStream'](arg1, arg2, arg3, arg4, arg5, arg6);
+export function NewChatStream(arg1, arg2, arg3, arg4, arg5, arg6, arg7) {
+  return window['go']['main']['App']['NewChatStream'](arg1, arg2, arg3, arg4, arg5, arg6, arg7);
 }

 export function NewsPush(arg1) {
@@ -266,8 +266,8 @@ export function StockResearchReport(arg1) {
  return window['go']['main']['App']['StockResearchReport'](arg1);
 }

-export function SummaryStockNews(arg1, arg2, arg3, arg4) {
-  return window['go']['main']['App']['SummaryStockNews'](arg1, arg2, arg3, arg4);
+export function SummaryStockNews(arg1, arg2, arg3, arg4, arg5) {
+  return window['go']['main']['App']['SummaryStockNews'](arg1, arg2, arg3, arg4, arg5);
 }

 export function UnFollow(arg1) {
--- a/frontend/wailsjs/go/models.ts
+++ b/frontend/wailsjs/go/models.ts
@@ -342,26 +342,6 @@ export namespace data {
 	
 	
 	
-	export class SentimentResult {
-	    Score: number;
-	    Category: number;
-	    PositiveCount: number;
-	    NegativeCount: number;
-	    Description: string;
-	
-	    static createFrom(source: any = {}) {
-	        return new SentimentResult(source);
-	    }
-	
-	    constructor(source: any = {}) {
-	        if ('string' === typeof source) source = JSON.parse(source);
-	        this.Score = source["Score"];
-	        this.Category = source["Category"];
-	        this.PositiveCount = source["PositiveCount"];
-	        this.NegativeCount = source["NegativeCount"];
-	        this.Description = source["Description"];
-	    }
-	}
 	export class SettingConfig {
 	    ID: number;
 	    // Go type: time
@@ -394,6 +374,7 @@ export namespace data {
 	    httpProxy: string;
 	    httpProxyEnabled: boolean;
 	    enableAgent: boolean;
+	    qgqpBId: string;
 	    aiConfigs: AIConfig[];
 	
 	    static createFrom(source: any = {}) {
@@ -430,6 +411,7 @@ export namespace data {
 	        this.httpProxy = source["httpProxy"];
 	        this.httpProxyEnabled = source["httpProxyEnabled"];
 	        this.enableAgent = source["enableAgent"];
+	        this.qgqpBId = source["qgqpBId"];
 	        this.aiConfigs = this.convertValues(source["aiConfigs"], AIConfig);
 	    }
 	
@@ -743,6 +725,26 @@ export namespace models {
 	        this.type = source["type"];
 	    }
 	}
+	export class SentimentResult {
+	    Score: number;
+	    Category: number;
+	    PositiveCount: number;
+	    NegativeCount: number;
+	    Description: string;
+	
+	    static createFrom(source: any = {}) {
+	        return new SentimentResult(source);
+	    }
+	
+	    constructor(source: any = {}) {
+	        if ('string' === typeof source) source = JSON.parse(source);
+	        this.Score = source["Score"];
+	        this.Category = source["Category"];
+	        this.PositiveCount = source["PositiveCount"];
+	        this.NegativeCount = source["NegativeCount"];
+	        this.Description = source["Description"];
+	    }
+	}
 	export class VersionInfo {
 	    ID: number;
 	    // Go type: time
--- a/frontend/wailsjs/runtime/runtime.js
+++ b/frontend/wailsjs/runtime/runtime.js
@@ -48,6 +48,10 @@ export function EventsOff(eventName, ...additionalEventNames) {
    return window.runtime.EventsOff(eventName, ...additionalEventNames);
 }

+export function EventsOffAll() {
+  return window.runtime.EventsOffAll();
+}
+
 export function EventsOnce(eventName, callback) {
    return EventsOnMultiple(eventName, callback, 1);
 }
--- a/go.mod
+++ b/go.mod
@@ -3,95 +3,95 @@ module go-stock
 go 1.25.0

 require (
-	github.com/PuerkitoBio/goquery v1.10.1
-	github.com/chromedp/chromedp v0.14.1
-	github.com/cloudwego/eino v0.4.1
-	github.com/cloudwego/eino-ext/components/model/ark v0.1.19
-	github.com/cloudwego/eino-ext/components/model/deepseek v0.0.0-20250804092122-8845979a2228
-	github.com/cloudwego/eino-ext/components/model/openai v0.0.0-20250804092122-8845979a2228
+	github.com/PuerkitoBio/goquery v1.11.0
+	github.com/chromedp/chromedp v0.14.2
+	github.com/cloudwego/eino v0.7.9
+	github.com/cloudwego/eino-ext/components/model/ark v0.1.52
+	github.com/cloudwego/eino-ext/components/model/deepseek v0.1.0
+	github.com/cloudwego/eino-ext/components/model/openai v0.1.5
 	github.com/coocood/freecache v1.2.4
-	github.com/duke-git/lancet/v2 v2.3.4
+	github.com/duke-git/lancet/v2 v2.3.8
 	github.com/energye/systray v1.0.2
 	github.com/gen2brain/beeep v0.11.1
 	github.com/glebarez/sqlite v1.11.0
 	github.com/go-ego/gse v0.80.3
-	github.com/go-resty/resty/v2 v2.16.2
+	github.com/go-resty/resty/v2 v2.17.0
 	github.com/go-toast/toast v0.0.0-20190211030409-01e6764cf0a4
 	github.com/inconshreveable/go-update v0.0.0-20160112193335-8152e7eb6ccf
 	github.com/robertkrimen/otto v0.5.1
 	github.com/robfig/cron/v3 v3.0.1
-	github.com/samber/lo v1.49.1
-	github.com/stretchr/testify v1.10.0
-	github.com/tidwall/gjson v1.14.4
-	github.com/wailsapp/wails/v2 v2.10.1
-	go.uber.org/zap v1.27.0
-	golang.org/x/net v0.38.0
-	golang.org/x/sys v0.36.0
-	golang.org/x/text v0.26.0
+	github.com/samber/lo v1.52.0
+	github.com/stretchr/testify v1.11.1
+	github.com/tidwall/gjson v1.18.0
+	github.com/wailsapp/wails/v2 v2.11.0
+	go.uber.org/zap v1.27.1
+	golang.org/x/net v0.47.0
+	golang.org/x/sys v0.38.0
+	golang.org/x/text v0.31.0
 	gopkg.in/natefinch/lumberjack.v2 v2.2.1
-	gorm.io/gorm v1.25.12
-	gorm.io/plugin/dbresolver v1.5.3
+	gorm.io/gorm v1.31.1
+	gorm.io/plugin/dbresolver v1.6.2
 	gorm.io/plugin/soft_delete v1.2.1
 )

 require (
 	git.sr.ht/~jackmordaunt/go-toast v1.1.2 // indirect
 	github.com/andybalholm/cascadia v1.3.3 // indirect
+	github.com/bahlo/generic-list-go v0.2.0 // indirect
 	github.com/bep/debounce v1.2.1 // indirect
-	github.com/bytedance/sonic v1.14.0 // indirect
-	github.com/bytedance/sonic/loader v0.3.0 // indirect
-	github.com/cespare/xxhash/v2 v2.1.2 // indirect
+	github.com/buger/jsonparser v1.1.1 // indirect
+	github.com/bytedance/gopkg v0.1.3 // indirect
+	github.com/bytedance/sonic v1.14.2 // indirect
+	github.com/bytedance/sonic/loader v0.4.0 // indirect
+	github.com/cenkalti/backoff/v4 v4.3.0 // indirect
+	github.com/cespare/xxhash/v2 v2.3.0 // indirect
 	github.com/chromedp/cdproto v0.0.0-20250803210736-d308e07a266d // indirect
 	github.com/chromedp/sysutil v1.1.0 // indirect
 	github.com/cloudwego/base64x v0.1.6 // indirect
-	github.com/cloudwego/eino-ext/libs/acl/openai v0.0.0-20250804062529-6e67726a4b3f // indirect
+	github.com/cloudwego/eino-ext/libs/acl/openai v0.1.6 // indirect
 	github.com/cohesion-org/deepseek-go v1.3.2 // indirect
 	github.com/davecgh/go-spew v1.1.1 // indirect
 	github.com/dustin/go-humanize v1.0.1 // indirect
+	github.com/eino-contrib/jsonschema v1.0.3 // indirect
 	github.com/esiqveland/notify v0.13.3 // indirect
 	github.com/evanphx/json-patch v0.5.2 // indirect
-	github.com/getkin/kin-openapi v0.118.0 // indirect
-	github.com/glebarez/go-sqlite v1.21.2 // indirect
-	github.com/go-json-experiment/json v0.0.0-20250910080747-cc2cfa0554c3 // indirect
+	github.com/glebarez/go-sqlite v1.22.0 // indirect
+	github.com/go-json-experiment/json v0.0.0-20251027170946-4849db3c2f7e // indirect
 	github.com/go-ole/go-ole v1.3.0 // indirect
-	github.com/go-openapi/jsonpointer v0.21.0 // indirect
-	github.com/go-openapi/swag v0.23.0 // indirect
 	github.com/gobwas/httphead v0.1.0 // indirect
 	github.com/gobwas/pool v0.2.1 // indirect
 	github.com/gobwas/ws v1.4.0 // indirect
-	github.com/godbus/dbus/v5 v5.1.0 // indirect
+	github.com/godbus/dbus/v5 v5.2.0 // indirect
 	github.com/google/uuid v1.6.0 // indirect
 	github.com/goph/emperror v0.17.2 // indirect
-	github.com/invopop/yaml v0.1.0 // indirect
+	github.com/gorilla/websocket v1.5.3 // indirect
 	github.com/jackmordaunt/icns/v3 v3.0.1 // indirect
-	github.com/jchv/go-winloader v0.0.0-20210711035445-715c2860da7e // indirect
+	github.com/jchv/go-winloader v0.0.0-20250406163304-c1995be93bd1 // indirect
 	github.com/jinzhu/inflection v1.0.0 // indirect
 	github.com/jinzhu/now v1.1.5 // indirect
 	github.com/jmespath/go-jmespath v0.4.0 // indirect
 	github.com/joho/godotenv v1.5.1 // indirect
-	github.com/josharian/intern v1.0.0 // indirect
 	github.com/json-iterator/go v1.1.12 // indirect
 	github.com/klauspost/cpuid/v2 v2.3.0 // indirect
-	github.com/labstack/echo/v4 v4.13.3 // indirect
+	github.com/kr/pretty v0.3.1 // indirect
+	github.com/labstack/echo/v4 v4.13.4 // indirect
 	github.com/labstack/gommon v0.4.2 // indirect
 	github.com/leaanthony/go-ansi-parser v1.6.1 // indirect
 	github.com/leaanthony/gosod v1.0.4 // indirect
 	github.com/leaanthony/slicer v1.6.0 // indirect
 	github.com/leaanthony/u v1.1.1 // indirect
-	github.com/mailru/easyjson v0.7.7 // indirect
-	github.com/mattn/go-colorable v0.1.13 // indirect
+	github.com/mailru/easyjson v0.9.1 // indirect
+	github.com/mattn/go-colorable v0.1.14 // indirect
 	github.com/mattn/go-isatty v0.0.20 // indirect
-	github.com/meguminnnnnnnnn/go-openai v0.0.0-20250723112853-3bce976e5ccc // indirect
+	github.com/meguminnnnnnnnn/go-openai v0.1.1 // indirect
 	github.com/modern-go/concurrent v0.0.0-20180306012644-bacd9c7ef1dd // indirect
 	github.com/modern-go/reflect2 v1.0.2 // indirect
-	github.com/mohae/deepcopy v0.0.0-20170929034955-c48cc78d4826 // indirect
+	github.com/ncruces/go-strftime v1.0.0 // indirect
 	github.com/nfnt/resize v0.0.0-20180221191011-83c6a9932646 // indirect
 	github.com/nikolalohinski/gonja v1.5.3 // indirect
 	github.com/nu7hatch/gouuid v0.0.0-20131221200532-179d4d0c4d8d // indirect
-	github.com/ollama/ollama v0.6.5 // indirect
-	github.com/openai/openai-go v1.10.1 // indirect
-	github.com/pelletier/go-toml/v2 v2.2.2 // indirect
-	github.com/perimeterx/marshmallow v1.1.5 // indirect
+	github.com/ollama/ollama v0.13.0 // indirect
+	github.com/pelletier/go-toml/v2 v2.2.4 // indirect
 	github.com/pkg/browser v0.0.0-20240102092130-5ac0b6a4141c // indirect
 	github.com/pkg/errors v0.9.1 // indirect
 	github.com/pmezard/go-difflib v1.0.0 // indirect
@@ -99,35 +99,36 @@ require (
 	github.com/rivo/uniseg v0.4.7 // indirect
 	github.com/rogpeppe/go-internal v1.14.1 // indirect
 	github.com/sergeymakinen/go-bmp v1.0.0 // indirect
-	github.com/sergeymakinen/go-ico v1.0.0-beta.0 // indirect
+	github.com/sergeymakinen/go-ico v1.0.0 // indirect
 	github.com/sirupsen/logrus v1.9.3 // indirect
 	github.com/slongfield/pyfmt v0.0.0-20220222012616-ea85ff4c361f // indirect
 	github.com/tadvi/systray v0.0.0-20190226123456-11a2b8fa57af // indirect
 	github.com/tevino/abool v0.0.0-20220530134649-2bfc934cb23c // indirect
-	github.com/tidwall/match v1.1.1 // indirect
+	github.com/tidwall/match v1.2.0 // indirect
 	github.com/tidwall/pretty v1.2.1 // indirect
-	github.com/tidwall/sjson v1.2.5 // indirect
 	github.com/tkrajina/go-reflector v0.5.8 // indirect
 	github.com/twitchyliquid64/golang-asm v0.15.1 // indirect
 	github.com/valyala/bytebufferpool v1.0.0 // indirect
 	github.com/valyala/fasttemplate v1.2.2 // indirect
 	github.com/vcaesar/cedar v0.20.2 // indirect
-	github.com/volcengine/volc-sdk-golang v1.0.23 // indirect
-	github.com/volcengine/volcengine-go-sdk v1.1.21 // indirect
-	github.com/wailsapp/go-webview2 v1.0.19 // indirect
+	github.com/volcengine/volc-sdk-golang v1.0.229 // indirect
+	github.com/volcengine/volcengine-go-sdk v1.1.50 // indirect
+	github.com/wailsapp/go-webview2 v1.0.23 // indirect
 	github.com/wailsapp/mimetype v1.4.1 // indirect
+	github.com/wk8/go-ordered-map/v2 v2.1.8 // indirect
 	github.com/yargevad/filepathx v1.0.0 // indirect
-	go.uber.org/multierr v1.10.0 // indirect
-	golang.org/x/arch v0.20.0 // indirect
-	golang.org/x/crypto v0.39.0 // indirect
-	golang.org/x/exp v0.0.0-20250218142911-aa4b98e5adaa // indirect
+	go.uber.org/multierr v1.11.0 // indirect
+	golang.org/x/arch v0.23.0 // indirect
+	golang.org/x/crypto v0.45.0 // indirect
+	golang.org/x/exp v0.0.0-20251125195548-87e1e737ad39 // indirect
+	google.golang.org/protobuf v1.36.10 // indirect
 	gopkg.in/sourcemap.v1 v1.0.5 // indirect
 	gopkg.in/yaml.v2 v2.4.0 // indirect
 	gopkg.in/yaml.v3 v3.0.1 // indirect
-	modernc.org/libc v1.22.5 // indirect
-	modernc.org/mathutil v1.5.0 // indirect
-	modernc.org/memory v1.5.0 // indirect
-	modernc.org/sqlite v1.23.1 // indirect
+	modernc.org/libc v1.67.1 // indirect
+	modernc.org/mathutil v1.7.1 // indirect
+	modernc.org/memory v1.11.0 // indirect
+	modernc.org/sqlite v1.40.1 // indirect
 )

 // replace github.com/wailsapp/wails/v2 v2.9.2 => C:\Users\spark\go\pkg\mod
--- a/go.sum
+++ b/go.sum
--- a/main.go
+++ b/main.go
@@ -58,6 +58,13 @@ var OFFICIAL_STATEMENT string
 var BuildKey string

 func main() {
+	defer func() {
+		if r := recover(); r != nil {
+			log.SugaredLogger.Error("panic: ", r)
+			log.SugaredLogger.Error("stack: ", string(debug.Stack()))
+		}
+	}()
+
 	checkDir("data")
 	db.Init("")
 	data.InitAnalyzeSentiment()
@@ -68,6 +75,10 @@ func main() {
 	//	Sort: 0,
 	//})

+	log.SugaredLogger.Info("starting...")
+	log.SugaredLogger.Infof("version: %s  commit: %s", Version, VersionCommit)
+	//log.SugaredLogger.Infof("build key: %s", BuildKey)
+
 	// Create an instance of the app structure
 	app := NewApp()
 	AppMenu := menu.NewMenu()
@@ -230,6 +241,8 @@ func AutoMigrate() {
 	db.Dao.AutoMigrate(&models.LongTigerRankData{})
 	db.Dao.AutoMigrate(&data.AIConfig{})
 	db.Dao.AutoMigrate(&models.BKDict{})
+	db.Dao.AutoMigrate(&models.WordAnalyze{})
+	db.Dao.AutoMigrate(&models.SentimentResultAnalyze{})

 	updateMultipleModel()
 }
Author	SHA1	Message	Date
ArvinLovegood	70e0d19c58	feat(ai):新增AI思考模式与热门选股策略功能 - 在NewChatStream和SummaryStockNews接口中增加think参数以支持AI思考模式 - 更新前端组件market.vue和stock.vue，添加思考模式开关控件 - 升级github.com/cloudwego/eino依赖至v0.7.9版本 - 修改ToolFunction结构体，新增Strict字段并调整Parameters为指针类型 - 实现HotStrategyTable工具函数，用于获取并展示热门选股策略表格 - 优化市场新闻API中的去重逻辑，当标题为空时使用内容进行判重 - 在AI对话流中增加对reasoning_content的支持，提升推理过程可见性 - 完善AskAi和AskAiWithTools方法，支持传递thinkingMode参数控制模型推理行为 - 调整FunctionParameters结构体，新增AdditionalProperties字段以增强灵活性 - 修复测试文件中IndustryResearchReport调用参数及注释问题	2025-12-16 15:49:59 +08:00
ArvinLovegood	4e04bacf22	refactor(data):重构情感分析与词频统计模块 - 将 SentimentResult 和 WordFreqWithWeight 结构体移至 models 包统一管理 - 更新 AnalyzeSentiment 和 AnalyzeSentimentWithFreqWeight 函数返回值类型 - 优化 NewsAnalyze 函数实现新闻内容自动获取与分析 - 新增定时任务定期执行新闻情感分析 - 完善数据库模型迁移，支持词频与情感分析结果存储 - 调整前端接口声明文件，确保类型一致性 - 移除冗余代码注释，提升代码可读性	2025-12-12 15:35:50 +08:00
ArvinLovegood	8c75c8533a	feat(news):优化新闻列表展示并提取标题 - 后端从富文本中提取 Telegraph 标题 - 前端使用折叠面板展示带标题的新闻项 - 无标题新闻项保持原有展示方式 - 调整标签和文字的排版与样式 - 支持展开/收起新闻详情内容 - 保留时间标签和高亮显示逻辑	2025-12-11 18:39:58 +08:00
ArvinLovegood	1ad02d4b0c	style(newsList):优化新闻列表文本显示样式 - 为新闻标题和内容添加换行样式以防止文本溢出 - 使用条件渲染仅在存在标题时显示标题文本 - 调整新闻内容文本的断行属性以提高可读性 - 移除不再使用的渐变文本组件以简化模板结构	2025-12-11 18:26:11 +08:00
ArvinLovegood	a354ab8925	feat(news):添加新闻标题字段并更新测试代码 - 在 Telegraph 模型中新增 Title 字段以存储新闻标题 - 更新 market_news_api.go 文件以支持标题数据的提取和赋值	2025-12-11 16:47:35 +08:00
ArvinLovegood	6d50be8541	fix(main):添加全局panic捕获 - 增加defer函数捕获程序异常 - 记录panic堆栈信息便于调试 - 注释掉包含构建密钥的日志输出 chore(test): 新增字符串处理工具包引入 - 引入lancet/v2/strutil包用于测试 - 添加调试日志展示字符串截取功能 - 完善市场资讯API测试用例	2025-12-10 17:52:18 +08:00
ArvinLovegood	6303d535bc	refactor(app):移除测试代码中的授权令牌并调整更新检查逻辑移除app_test.go中硬编码的GitHub授权令牌，避免安全风险。在app.go的CheckUpdate方法中，将授权令牌从请求头中移除，改为无认证方式获取版本信息，同时优化VIP用户下载链接逻辑。	2025-12-10 16:26:09 +08:00
ArvinLovegood	b464d8f563	chore(config):更新访问令牌 - 替换 app.go 中的旧访问令牌为新令牌 - 注释掉 app_test.go 中的访问令牌以避免测试时使用 - 确保所有 GitHub API 请求使用最新的认证凭证	2025-12-10 16:24:03 +08:00
ArvinLovegood	eea0856c1c	feat(stock):更新股票研究与市场新闻功能 - 修改股票研究工具描述，明确获取分析师研究报告 - 调整 TradingView 新闻接口参数，优化请求过滤条件 - 新增代理测试与通知推送测试方法 - 扩大股票搜索范围，提升数据获取数量 - 更新东方财富接口 User-Agent，增强请求稳定性 - 优化美股与港股数据抓取逻辑及休眠时间 - 增加前端消息墙展示标签页，集成外部链接页面 - 调整数据库操作注释，便于后续调试与维护	2025-12-10 15:55:06 +08:00
ArvinLovegood	1dd77d5c08	feat(stock):增强股票情感分析功能并优化GitHub请求 - 为GitHub API请求添加授权头部信息 - 禁用OpenAI接口中的思考模式 - 重构情感分析初始化逻辑，增加异常恢复机制 - 优化词典加载流程，提升系统稳定性 - 调整词语权重计算方式，提高准确性 - 更新测试用例，增强覆盖场景 - 移除无用的错误包引用，清理依赖项 - 修复URL格式化问题，确保请求正确性	2025-12-02 18:45:15 +08:00
ArvinLovegood	9c1c0382ca	chore(deps):更新多个依赖库版本 -更新多个依赖库版本	2025-12-02 16:06:54 +08:00
ArvinLovegood	46065f448b	feat(openai):启用模型思考模式并设置工具选择 - 在请求体中添加 thinking 字段以启用模型思考模式 - 设置 tool_choice 为 required 以强制使用工具调用 - 保持现有模型配置和其他参数不变	2025-12-02 14:23:52 +08:00
ArvinLovegood	a7cee69e68	chore(deps):更新模块依赖版本 - 更新 github.com/PuerkitoBio/goquery 从 v1.10.1 到 v1.11.0 - 更新 github.com/chromedp/chromedp 从 v0.14.1 到 v0.14.2 - 更新 github.com/cloudwego/eino 从 v0.4.1 到 v0.7.3 - 更新 github.com/cloudwego/eino-ext/components/model/ark 从 v0.1.19 到 v0.1.51 - 更新 github.com/cloudwego/eino-ext/components/model/deepseek 到最新提交 - 更新 github.com/cloudwego/eino-ext/components/model/openai 从 v0.0.0 到 v0.1.5 - 更新 github.com/duke-git/lancet/v2 从 v2.3.4 到 v2.3.8 - 更新 github.com/go-resty/resty/v2 从 v2.16.2 到 v2.17.0 - 更新 github.com/samber/lo 从 v1.49.1 到 v1.52.0 - 更新 github.com/stretchr/testify 从 v1.10.0 到 v1.11.1 - 更新 github.com/tidwall/gjson 从 v1.14.4 到 v1.18.0 - 更新 github.com/wailsapp/wails/v2 从 v2.10.1 到 v2.11.0 - 更新 go.uber.org/zap 从 v1.27.0 到 v1.27.1 - 更新 gorm.io/gorm 从 v1.25.12 到 v1.31.1 - 更新 gorm.io/plugin/dbresolver 从 v1.5.3 到 v1.6.2 - 移除 github.com/getkin/kin-openapi 间接依赖 - 移除 github.com/meguminnnnnnnnn/go-openai 旧版本，更新为 v0.1.0 - 移除 github.com/openai/openai-go 间接依赖 - 添加 github.com/bahlo/generic-list-go 作为间接依赖 - 添加 github.com/eino-contrib/jsonschema 作为间接依赖 - 添加 github.com/gorilla/websocket 作为间接依赖 - 添加 github.com/wk8/go-ordered-map/v2 作为间接依赖 - 添加 google.golang.org/protobuf 和 gopkg.in/check.v1 作为间接依赖	2025-11-30 19:43:30 +08:00
ArvinLovegood	459441f838	feat(stock):优化股票情绪分析词典加载逻辑 - 引入 errors 包处理词典加载错误 - 使用 github.com/vcaesar/cedar 优化词典存储结构 - 修复重复添加词汇时的错误处理逻辑 - 增强用户词典读取稳定性，避免空行导致崩溃 - 改进词汇频率更新机制，提高分词准确性	2025-11-30 10:56:57 +08:00
ArvinLovegood	b4b3b61e8c	feat(db):优化数据库连接配置并调整SQLite缓存大小 - 调整SQLite连接字符串，设置缓存大小为-524288 - 修改数据库最大空闲连接数为4 - 修改数据库最大打开连接数为10 - 重新排列导入包顺序，将标准库包放在第三方库之前	2025-11-27 18:10:27 +08:00
ArvinLovegood	b6a99940ab	feat(db):优化数据库连接配置并调整SQLite缓存大小 - 调整SQLite连接字符串，设置缓存大小为-524288 - 修改数据库最大空闲连接数为4 - 修改数据库最大打开连接数为10 - 重新排列导入包顺序，将标准库包放在第三方库之前	2025-11-27 18:06:15 +08:00
ArvinLovegood	5b0f34a3bd	chore(deps): 更新 golang.org/x 包依赖版本 - 将 golang.org/x/crypto 从 v0.39.0 升级到 v0.44.0 - 将 golang.org/x/net 从 v0.38.0 升级到 v0.47.0 - 将 golang.org/x/sys 从 v0.36.0 升级到 v0.38.0 - 将 golang.org/x/text 从 v0.26.0 升级到 v0.31.0 - 将 golang.org/x/term 从 v0.32.0 升级到 v0.37.0	2025-11-27 17:55:29 +08:00
ArvinLovegood	e34ebf9895	chore(deps):更新前端依赖包版本 - 升级 @vitejs/plugin-vue 至 6.0.2 版本 - 升级 naive-ui 至 2.43.2 版本 - 升级 vite 至 7.2.4 版本 - 更新相关子依赖及类型定义文件 - 调整部分组件展示结构以支持图片显示	2025-11-26 18:27:35 +08:00
ArvinLovegood	c3521c6d7f	feat(stock):新增东财用户标识支持并优化新闻抓取逻辑 - 在设置中增加东财唯一标识(qgqpBId)字段，用于搜索股票接口鉴权 - 优化 Telegraph 列表获取逻辑，使用协程并发执行多个数据源请求 - 调整 TradingView 新闻定时任务间隔时间，从60秒减少到10秒 - 修改新闻列表排序规则，优先按数据时间降序排列 - 更新 TradingView 新闻去重条件，由内容匹配改为时间和标题匹配 - 限制 TradingView 新闻详情处理数量，最多只处理前10条 - 完善错误提示信息显示逻辑，兼容不同字段的消息返回 - 删除冗余的 GetLevel 函数，直接在赋值处判断等级逻辑 - 增加测试初始化情感分析模块调用 - 前端表单同步增加 qgqpBId 字段绑定与持久化配置支持	2025-11-26 14:58:12 +08:00
ArvinLovegood	93b37ca621	feat(market):新增外媒新闻功能并优化展示逻辑 - 在定时任务中增加TradingViewNews新闻抓取 - 增加TradingView新闻详情接口及数据解析逻辑 - 修改Telegraph模型字段索引提升查询性能 - 前端新增"外媒"新闻列表展示模块 - 根据HTTP代理配置动态调整新闻栏布局 - 修复时间转换及去重逻辑提高数据准确性 - 调整新闻列表显示样式增强可读性	2025-11-25 17:44:13 +08:00
ArvinLovegood	7069af869b	feat(frontend):优化市场分析组件并增强标签处理逻辑 - 添加主要指数(mainIndex)，包括中美日韩等地重要城市指数 - 更新图表展示逻辑，使用mainIndex代替原有的china索引 - 引入数字动画效果，提升用户体验 - 在后端增加标签类型过滤，仅处理type为"subject"的标签 - 调整标签词频，通过ReAddToken方法提高关键词权重	2025-11-25 12:23:54 +08:00
ArvinLovegood	dbb6789c05	feat(frontend):市场快讯里面添加全球股指展示功能并优化情绪分析图表 - 引入 GlobalStockIndexes 接口获取全球主要股指数据 - 添加中国主要股指筛选逻辑（上海、深圳、香港等） - 优化市场情绪图表数值显示精度 - 调整图表布局结构，增强可视化效果 - 修改市场情绪强弱指标名称提升可读性 - 定时获取最新股指数据（每2秒刷新） - 调整负面金融词汇权重以提高分析准确性	2025-11-24 18:08:10 +08:00
ArvinLovegood	8aed4d2753	feat(dict):优化金融股票分词字典结构与内容 - 删除重复或冗余的词条，如“人工智能”、“云计算”等在多个分类中重复出现的词汇 - 调整并统一章节编号，确保从一至九的连续性和逻辑性 - 移除不再适用的覆盖场景描述，提升字典的专业性与准确性 - 更新权重说明注释，去除不必要的分数细节，保持清晰易懂 - 重新组织词条顺序，使同类项集中，提高检索效率 - 清理负权重词汇列表中的多余条目，强化过滤机制 - 精简A股龙头公司条目，聚焦更广泛的财务与估值指标词条 - 统一格式排版，增强可读性和维护便利性	2025-11-23 20:48:28 +08:00
ArvinLovegood	6bd1bdae02	feat(dict):优化金融股票分词字典结构与内容 - 删除重复或冗余的词条，如“人工智能”、“云计算”等在多个分类中重复出现的词汇 - 调整并统一章节编号，确保从一至九的连续性和逻辑性 - 移除不再适用的覆盖场景描述，提升字典的专业性与准确性 - 更新权重说明注释，去除不必要的分数细节，保持清晰易懂 - 重新组织词条顺序，使同类项集中，提高检索效率 - 清理负权重词汇列表中的多余条目，强化过滤机制 - 精简A股龙头公司条目，聚焦更广泛的财务与估值指标词条 - 统一格式排版，增强可读性和维护便利性	2025-11-23 20:40:57 +08:00
ArvinLovegood	9a40d343aa	feat(dict): 优化金融股票分词字典结构与内容 - 删除重复或冗余的词条，如“人工智能”、“云计算”等在多个分类中重复出现的词汇 - 调整并统一章节编号，确保从一至九的连续性和逻辑性 - 移除不再适用的覆盖场景描述，提升字典的专业性与准确性 - 更新权重说明注释，去除不必要的分数细节，保持清晰易懂 - 重新组织词条顺序，使同类项集中，提高检索效率 - 清理负权重词汇列表中的多余条目，强化过滤机制 - 精简A股龙头公司条目，聚焦更广泛的财务与估值指标词条 - 统一格式排版，增强可读性和维护便利性	2025-11-23 20:39:06 +08:00
ArvinLovegood	e4cdad6ffe	feat(data): 更新用户词典，新增热点概念与板块词汇 - 添加负权重词汇以降低无差别匹配干扰 - 新增核心热点概念词汇，权重设为700分 - 扩展重点赛道板块词汇，权重设为500分 - 增加事件驱动型概念词汇，权重设为400分 - 调整部分已有词汇格式，确保兼容性	2025-11-23 20:22:29 +08:00
ArvinLovegood	a0005dab96	feat(data): 更新用户词典文件 - 调整了原有词汇的权重值从0.1为-0.1 - 新增多个金融及行业相关词汇，如基金、保险等 - 增加了热点概念词汇，例如冰雪旅游、新能源汽车等 - 添加了具体公司或产品名称，如摩尔线程及其相关概念 - 保留并确认具身智能一词的权重与分类不变	2025-11-23 20:03:23 +08:00