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

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](https://github.com/ArvinLovegood/go-stock/releases))
 - 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)
 

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 {

app_common.go

@@ -1,10 +1,11 @@
 package main
 
 import (
-	"github.com/wailsapp/wails/v2/pkg/runtime"
 	"go-stock/backend/agent"
 	"go-stock/backend/data"
 	"go-stock/backend/models"
+
+	"github.com/wailsapp/wails/v2/pkg/runtime"
 )
 
 // @Author spark
@@ -26,48 +27,56 @@ func (a *App) StockNotice(stockCode string) []any {
 func (a *App) IndustryResearchReport(industryCode string) []any {
 	return data.NewMarketNewsApi().IndustryResearchReport(industryCode, 7)
 }
-func (a App) EMDictCode(code string) []any {
+func (a *App) EMDictCode(code string) []any {
 	return data.NewMarketNewsApi().EMDictCode(code, a.cache)
 }
 
-func (a App) AnalyzeSentiment(text string) data.SentimentResult {
+func (a *App) AnalyzeSentiment(text string) models.SentimentResult {
 	return data.AnalyzeSentiment(text)
 }
 
-func (a App) HotStock(marketType string) *[]models.HotItem {
+func (a *App) HotStock(marketType string) *[]models.HotItem {
 	return data.NewMarketNewsApi().XUEQIUHotStock(100, marketType)
 }
 
-func (a App) HotEvent(size int) *[]models.HotEvent {
+func (a *App) HotEvent(size int) *[]models.HotEvent {
 	if size <= 0 {
 		size = 10
 	}
 	return data.NewMarketNewsApi().HotEvent(size)
 }
-func (a App) HotTopic(size int) []any {
+func (a *App) HotTopic(size int) []any {
 	if size <= 0 {
 		size = 10
 	}
 	return data.NewMarketNewsApi().HotTopic(size)
 }
 
-func (a App) InvestCalendarTimeLine(yearMonth string) []any {
+func (a *App) InvestCalendarTimeLine(yearMonth string) []any {
 	return data.NewMarketNewsApi().InvestCalendar(yearMonth)
 }
-func (a App) ClsCalendar() []any {
+func (a *App) ClsCalendar() []any {
 	return data.NewMarketNewsApi().ClsCalendar()
 }
 
-func (a App) SearchStock(words string) map[string]any {
+func (a *App) SearchStock(words string) map[string]any {
 	return data.NewSearchStockApi(words).SearchStock(5000)
 }
-func (a App) GetHotStrategy() map[string]any {
+func (a *App) GetHotStrategy() map[string]any {
 	return data.NewSearchStockApi("").HotStrategy()
 }
 
-func (a App) ChatWithAgent(question string, aiConfigId int, sysPromptId *int) {
+func (a *App) ChatWithAgent(question string, aiConfigId int, sysPromptId *int) {
 	ch := agent.NewStockAiAgentApi().Chat(question, aiConfigId, sysPromptId)
 	for msg := range ch {
 		runtime.EventsEmit(a.ctx, "agent-message", msg)
 	}
 }
+
+func (a *App) AnalyzeSentimentWithFreqWeight(text string) map[string]any {
+	result, cleanFrequencies := data.NewsAnalyze(text, false)
+	return map[string]any{
+		"result":      result,
+		"frequencies": cleanFrequencies,
+	}
+}

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)
+}

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")

backend/data/data/dict/README.md

@@ -0,0 +1 @@
+Some dict/zh data is from [github.com/fxsjy/jieba](https://github.com/fxsjy/jieba)

backend/data/data/dict/base.txt

@@ -0,0 +1,428 @@
+# 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
+
+# 一、净买卖与资金流向（核心交易表述）
+净卖出 340 v
+净买入 340 v
+净卖出额 330 n
+净买入额 330 n
+净卖出量 330 n
+净买入量 330 n
+资金净流出 340 n
+资金净流入 340 n
+净额 330 n
+买卖净额 330 n
+资金净额 330 n
+北向资金净买入 330 n
+北向资金净卖出 330 n
+南向资金净买入 320 n
+南向资金净卖出 320 n
+主力资金净买入 330 n
+主力资金净卖出 330 n
+散户资金净买入 320 n
+散户资金净卖出 320 n
+机构资金净买入 330 n
+机构资金净卖出 330 n
+游资净买入 320 n
+游资净卖出 320 n
+大单净买入 320 n
+大单净卖出 320 n
+中单净买入 320 n
+中单净卖出 320 n
+小单净买入 320 n
+小单净卖出 320 n
+净买入占比 320 n
+净卖出占比 320 n
+净买入率 320 n
+净卖出率 320 n
+连续净买入 320 v
+连续净卖出 320 v
+单日净买入 320 n
+单日净卖出 320 n
+累计净买入 320 n
+累计净卖出 320 n
+净买入创纪录 310 adj
+净卖出创纪录 310 adj
+净买入放量 310 v
+净卖出放量 310 v
+净买入缩量 310 v
+净卖出缩量 310 v
+净多 310 n
+净空 310 n
+净多头 310 n
+净空头 310 n
+净多头头寸 310 n
+净空头头寸 310 n
+跌超 310 n
+跌逾 310 n
+
+# 二、金融资讯与市场分析
+金融资讯 350 n
+市场快讯 340 n
+财经新闻 340 n
+政策解读 330 n
+市场分析 330 n
+行业研报 320 n
+宏观经济 330 n
+微观层面 310 n
+基本面 320 n
+技术面 320 n
+资金面 320 n
+政策面 320 n
+市场情绪 320 n
+风险偏好 310 n
+流动性 320 n
+估值修复 310 n
+价值投资 310 n
+趋势投资 310 n
+波段操作 310 n
+左侧交易 290 n
+右侧交易 290 n
+止损止盈 300 n
+仓位管理 300 n
+资产配置 310 n
+分散投资 290 n
+集中投资 290 n
+风险控制 310 n
+系统性风险 300 n
+非系统性风险 290 n
+黑天鹅事件 310 n
+灰犀牛事件 300 n
+熔断机制 300 n
+市场监管 310 n
+信息披露 310 n
+内幕交易 300 n
+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
+港股 350 n
+上证指数 350 n
+深证成指 350 n
+创业板指 340 n
+科创板指 330 n
+北证50 330 n
+沪深300 350 n
+沪深300指数 350 n
+中证500 340 n
+中证500指数 340 n
+中证1000 330 n
+中证1000指数 330 n
+上证50 340 n
+上证50指数 340 n
+科创50 330 n
+科创50指数 330 n
+上证综指 350 n
+富时中国A50指数 340 n
+恒生指数 340 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
+标普500指数 350 n
+纳斯达克综合指数 340 n
+纳斯达克100指数 340 n
+罗素2000指数 320 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
+纳斯达克中国金龙指数 310 n
+# 欧洲市场
+德国DAX指数 330 n
+法国CAC40指数 330 n
+富时100指数 330 n
+欧元斯托克50指数 320 n
+英国富时250指数 310 n
+意大利富时MIB指数 310 n
+西班牙IBEX 35指数 310 n
+# 亚太其他市场
+日经225指数 330 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
+印度孟买敏感指数 310 n
+Sensex 300 n
+印度Nifty 50指数 310 n
+# 全球综合指数
+MSCI指数 320 n
+MSCI全球指数 330 n
+MSCI新兴市场指数 330 n
+富时罗素全球指数 320 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
+新兴市场指数 300 n
+金砖国家指数 300 n
+G20国家指数 300 n
+# 股指衍生工具
+指数期货 320 n
+股指期货 320 n
+富时中国A50指数期货 320 n
+沪深300股指期货 320 n
+标普500股指期货 320 n
+纳斯达克100股指期货 310 n
+指数成分股 320 n
+指数权重股 320 n
+指数涨幅 320 n
+指数跌幅 320 n
+指数反弹 310 n
+指数回调 310 n
+指数创新高 310 v
+指数创新低 310 v
+指数估值 310 n
+指数市盈率 310 n
+
+# 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
+静态市盈率 340 n
+滚动市盈率 340 n
+市净率 350 n
+PB 350 n
+市销率 330 n
+PS 330 n
+市现率 320 n
+PCF 320 n
+净资产收益率 350 n
+ROE 350 n
+总资产收益率 330 n
+ROA 330 n
+毛利率 340 n
+净利率 340 n
+销售净利率 330 n
+资产负债率 340 n
+营收 340 n
+营业收入 340 n
+净利润 350 n
+归母净利润 340 n
+扣非净利润 340 n
+EPS 330 n
+每股收益 330 n
+现金流 340 n
+经营活动现金流 330 n
+自由现金流 330 n
+营收增长率 330 n
+净利润增长率 330 n
+股息率 320 n
+分红率 320 n
+换手率 330 n
+成交量 340 n
+成交额 340 n
+量比 320 n
+振幅 320 n
+
+# 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
+积极财政政策 320 n
+宽松政策 320 n
+紧缩政策 320 n
+利率 330 n
+基准利率 320 n
+LPR 330 n
+贷款市场报价利率 320 n
+存款准备金率 320 n
+MLF 320 n
+中期借贷便利 310 n
+逆回购 320 n
+正回购 310 n
+汇率 330 n
+人民币汇率 330 n
+美元汇率 320 n
+通胀 320 n
+CPI 330 n
+PPI 330 n
+GDP 330 n
+国内生产总值 320 n
+PMI 330 n
+采购经理人指数 320 n
+行业政策 320 n
+产业政策 320 n
+税收政策 310 n
+补贴政策 310 n
+关税 310 n
+贸易政策 310 n
+地缘政治 310 n
+大宗商品 320 n
+原油价格 310 n
+黄金价格 310 n
+有色金属价格 300 n
+
+# 六、金融产品与机构
+股票 320 n
+基金 320 n
+公募基金 310 n
+私募基金 310 n
+ETF 320 n
+指数基金 310 n
+混合型基金 300 n
+股票型基金 310 n
+债券型基金 300 n
+货币基金 290 n
+REITs 310 n
+可转债 310 n
+可交换债 300 n
+期货 310 n
+股指期货 310 n
+国债期货 300 n
+商品期货 300 n
+期权 300 n
+融资融券 310 n
+两融余额 300 n
+北向资金 320 n
+南向资金 310 n
+沪股通 310 n
+深股通 310 n
+陆股通 310 n
+证券公司 310 n
+券商 320 n
+基金公司 300 n
+保险公司 300 n
+银行 310 n
+监管机构 310 n
+证监会 320 n
+交易所 320 n
+上交所 320 n
+深交所 320 n
+北交所 310 n
+港交所 310 n
+社保基金 310 n
+养老金 300 n
+QFII 300 n
+RQFII 290 n
+北向资金机构 300 n
+
+# 七、热点概念与行业
+AI 330 n
+人工智能 350 n
+算力 330 n
+大数据 320 n
+云计算 320 n
+半导体 350 n
+芯片 350 n
+集成电路 340 n
+新能源 350 n
+光伏 340 n
+锂电 320 n
+储能 340 n
+充电桩 310 n
+新能源车 320 n
+智能汽车 310 n
+自动驾驶 330 n
+军工 310 n
+国防军工 300 n
+医药 310 n
+创新药 310 n
+医疗器械 300 n
+CXO 300 n
+白酒 310 n
+消费 320 n
+可选消费 300 n
+必选消费 300 n
+食品饮料 310 n
+家电 300 n
+地产 300 n
+房地产 300 n
+基建 300 n
+新基建 310 n
+数字经济 350 n
+数字货币 310 n
+区块链 300 n
+元宇宙 300 n
+低空经济 340 n
+人形机器人 330 n
+工业互联网 330 n
+物联网 300 n
+5G 300 n
+6G 340 n
+
+# 八、交易操作与行情
+上涨 310 v
+下跌 310 v
+涨停 310 v
+跌停 310 v
+反弹 300 v
+反转 300 v
+回调 300 v
+横盘 290 v
+震荡 290 v
+跳水 300 v
+拉升 300 v
+砸盘 300 v
+护盘 290 v
+建仓 300 v
+加仓 300 v
+减仓 300 v
+清仓 300 v
+平仓 300 v
+抄底 300 v
+逃顶 300 v
+追涨 290 v
+杀跌 290 v
+套牢 280 v
+解套 280 v
+净流入 300 n
+净流出 300 n
+主力资金 300 n
+资金流入 290 v
+资金流出 290 v
+放量 290 v
+缩量 290 v
+高换手 290 n
+低换手 280 n
+高估值 290 n
+低估值 290 n
+超预期 300 v
+不及预期 300 v
+符合预期 290 v
+利好 310 n
+利空 310 n
+政策利好 310 n
+业绩利好 310 n
+风险警示 300 n
+涨停板 300 n
+跌停板 300 n
+一字涨停 290 n
+一字跌停 290 n
+打开涨停 320 v
+打开跌停 320 v
+集合竞价 290 n
+连续竞价 280 n
+开盘价 340 n
+收盘价 340 n
+最高价 330 n
+最低价 330 n
+均价 330 n
+昨日收盘价 320 n
+涨跌额 330 n
+涨跌幅 340 n
+涨幅 340 n
+跌幅 340 n
+涨停价 330 n
+跌停价 330 n
+熔断 330 n
+临时停牌 320 n
+复牌 320 v
+停牌 320 n
+量价齐升 320 n
+量价背离 320 n
+高开 320 n
+低开 320 n
+平开 320 n
+高走 320 v
+低走 320 v
+震荡上行 320 v
+震荡下行 320 v
+
+# 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

backend/data/data/dict/jp/README.md

@@ -0,0 +1 @@
+dict.txt 通过内部工具生成, Copyright 2017 ego authors. 商用和拷贝请注明来源和版权

backend/data/data/dict/user.txt

@@ -0,0 +1,185 @@
+# 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
+新能源汽车 500 n
+机器人 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

backend/data/data/dict/zh/stop_word.txt

@@ -0,0 +1,88 @@
+,
+.
+?
+!
+"
+@
+，
+。
+、
+？
+！
+：
+“
+”
+；
+　
+（
+）
+《
+》
+~
+*
+<
+>
+/
+\
+|
+-
+_
++
+=
+&
+^
+%
+#
+`
+;
+$
+￥
+‘
+’
+〉
+〈
+…
+＞
+＜
+＠
+＃
+＄
+％
+︿
+＆
+＊
+＋
+～
+｜
+［
+］
+｛
+｝
+啊
+阿
+哎
+哎呀
+哎哟
+唉
+俺
+俺们
+按
+按照
+吧
+吧哒
+把
+罢了
+被
+本
+本着
+比
+比方
+比如
+鄙人
+彼
+彼此
+边
+别
+别的
+别说
+并

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"
@@ -45,24 +46,31 @@ func (m MarketNewsApi) TelegraphList(crawlTimeOut int64) *[]models.Telegraph {
 	var telegraphs []models.Telegraph
 
 	if v, _ := convertor.ToInt(res["error"]); v == 0 {
+		if res["data"] == nil {
+			return m.GetNewTelegraph(30)
+		}
 		data := res["data"].(map[string]any)
 		rollData := data["roll_data"].([]any)
 		for _, v := range rollData {
 			news := v.(map[string]any)
 			ctime, _ := convertor.ToInt(news["ctime"])
-			dataTime := time.Unix(ctime, 0)
-			logger.SugaredLogger.Debugf("dataTime: %s", dataTime)
+			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
 			}
@@ -93,9 +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"
@@ -164,9 +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{}
@@ -185,9 +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{}
@@ -206,9 +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{}
@@ -264,7 +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)
@@ -283,7 +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)
@@ -637,15 +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/").
@@ -653,19 +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 {
@@ -958,7 +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").
@@ -1024,3 +1109,33 @@ func (m MarketNewsApi) CailianpressWeb(searchWords string) *models.CailianpressW
 
 	return res
 }
+
+func (m MarketNewsApi) GetNews24HoursList(source string, limit int) *[]*models.Telegraph {
+	news := &[]*models.Telegraph{}
+	if source != "" {
+		db.Dao.Model(news).Preload("TelegraphTags").Where("source=? and created_at>?", source, time.Now().Add(-24*time.Hour)).Order("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("data_time desc,is_red desc").Limit(limit).Find(news)
+	}
+	// 内容去重
+	uniqueNews := make([]*models.Telegraph, 0)
+	seenContent := make(map[string]bool)
+	for _, item := range *news {
+		tags := &[]models.Tags{}
+		db.Dao.Model(&models.Tags{}).Where("id in ?", lo.Map(item.TelegraphTags, func(item models.TelegraphTags, index int) uint {
+			return item.TagId
+		})).Find(&tags)
+		tagNames := lo.Map(*tags, func(item models.Tags, index int) string {
+			return item.Name
+		})
+		item.SubjectTags = tagNames
+		//logger.SugaredLogger.Infof("tagNames %v ，SubjectTags：%s", tagNames, item.SubjectTags)
+		// 使用内容作为去重键值，可以考虑只使用内容的前几个字符或哈希值
+		contentKey := strings.TrimSpace(item.Content)
+		if contentKey != "" && !seenContent[contentKey] {
+			seenContent[contentKey] = true
+			uniqueNews = append(uniqueNews, item)
+		}
+	}
+	return &uniqueNews
+}

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/"))
+}

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,

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)
 

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
+}

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)
+	//}
 }

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

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())

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())
+	//}
 
 }

backend/data/stock_sentiment_analysis.go

@@ -2,38 +2,50 @@ package data
 
 import (
 	"bufio"
+	_ "embed"
 	"fmt"
+	"go-stock/backend/db"
 	"go-stock/backend/logger"
+	"go-stock/backend/models"
 	"os"
+	"regexp"
+	"sort"
 	"strings"
+	"unicode"
 
+	"github.com/duke-git/lancet/v2/convertor"
+	"github.com/duke-git/lancet/v2/fileutil"
+	"github.com/duke-git/lancet/v2/strutil"
 	"github.com/go-ego/gse"
 )
 
+const basefreq float64 = 100
+
 // 金融情感词典，包含股票市场相关的专业词汇
 var (
 	seg gse.Segmenter
 
 	// 正面金融词汇及其权重
 	positiveFinanceWords = map[string]float64{
-		"上涨": 2.0, "涨停": 3.0, "牛市": 3.0, "反弹": 2.0, "新高": 2.5,
+		"涨": 1.0, "上涨": 2.0, "涨停": 3.0, "牛市": 3.0, "反弹": 2.0, "新高": 2.5,
 		"利好": 2.5, "增持": 2.0, "买入": 2.0, "推荐": 1.5, "看多": 2.0,
 		"盈利": 2.0, "增长": 2.0, "超预期": 2.5, "强劲": 1.5, "回升": 1.5,
 		"复苏": 2.0, "突破": 2.0, "创新高": 3.0, "回暖": 1.5, "上扬": 1.5,
 		"利好消息": 3.0, "收益增长": 2.5, "利润增长": 2.5, "业绩优异": 2.5,
 		"潜力股": 2.0, "绩优股": 2.0, "强势": 1.5, "走高": 1.5, "攀升": 1.5,
-		"大涨": 2.5, "飙升": 3.0, "井喷": 3.0, "爆发": 2.5, "暴涨": 3.0,
+		"大涨": 2.5, "飙升": 3.0, "井喷": 3.0, "暴涨": 3.0,
 	}
 
 	// 负面金融词汇及其权重
 	negativeFinanceWords = map[string]float64{
-		"下跌": 2.0, "跌停": 3.0, "熊市": 3.0, "回调": 1.5, "新低": 2.5,
+		"跌": 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,
+		"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
@@ -45,7 +57,7 @@ var (
 	degreeWords = map[string]float64{
 		"非常": 1.8, "极其": 2.2, "太": 1.8, "很": 1.5,
 		"比较": 0.8, "稍微": 0.6, "有点": 0.7, "显著": 1.5,
-		"大幅": 1.8, "急剧": 2.0, "轻微": 0.6, "小幅": 0.7,
+		"大幅": 1.8, "急剧": 2.0, "轻微": 0.6, "小幅": 0.7, "逾": 1.8, "超": 1.8,
 	}
 
 	// 转折词，用于识别情感转折
@@ -54,34 +66,269 @@ var (
 	}
 )
 
-func init() {
-	// 加载默认词典
-	err := seg.LoadDict()
+//go:embed data/dict/base.txt
+var baseDict string
+
+//go:embed data/dict/zh/s_1.txt
+var zhDict string
+
+func InitAnalyzeSentiment() {
+	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())
+	} else {
+		logger.SugaredLogger.Info("加载默认词典成功")
 	}
+	seg.CalcToken()
+
+	stocks := &[]StockBasic{}
+	db.Dao.Model(&StockBasic{}).Find(stocks)
+	for _, stock := range *stocks {
+		if strutil.Trim(stock.Name) == "" {
+			continue
+		}
+		err := seg.AddToken(stock.Name, basefreq+100, "n")
+		if strutil.Trim(stock.BKName) != "" {
+			err = seg.AddToken(stock.BKName, basefreq+100, "n")
+		}
+		if err != nil {
+			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 {
+		if strutil.Trim(stock.Name) == "" {
+			continue
+		}
+		err := seg.AddToken(stock.Name, basefreq+100, "n")
+		if strutil.Trim(stock.BKName) != "" {
+			err = seg.AddToken(stock.BKName, basefreq+100, "n")
+		}
+		if err != nil {
+			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 {
+	//	err := seg.AddToken(stock.Name, 500)
+	//	if err != nil {
+	//		logger.SugaredLogger.Errorf("添加%s失败:%s", stock.Name, err.Error())
+	//	}
+	//}
+	tags := &[]models.Tags{}
+	db.Dao.Model(&models.Tags{}).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") {
+		lines, err := fileutil.ReadFileByLine("data/dict/user.txt")
+		if err != nil {
+			logger.SugaredLogger.Error(err.Error())
+			return
+		}
+		for _, line := range lines {
+			if len(line) == 0 || line[0] == '#' {
+				continue
+			}
+			k := strutil.SplitAndTrim(line, " ")
+			if len(k) == 0 {
+				continue
+			}
+			_, _, ok := seg.Find(k[0])
+			switch len(k) {
+			case 1:
+				if ok {
+					err = seg.ReAddToken(k[0], basefreq)
+				} else {
+					err = seg.AddToken(k[0], basefreq)
+				}
+			case 2:
+				freq, _ := convertor.ToFloat(k[1])
+				if ok {
+					err = seg.ReAddToken(k[0], freq)
+				} else {
+					err = seg.AddToken(k[0], freq)
+				}
+			case 3:
+				freq, _ := convertor.ToFloat(k[1])
+				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)
+			}
+			logger.SugaredLogger.Infof("添加用户词典[%s]成功", line)
+		}
+		if err != nil {
+			logger.SugaredLogger.Error(err.Error())
+		} 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()
 }
 
-// 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
+// getWordWeight 获取词汇权重
+func getWordWeight(word string) float64 {
+	// 从分词器获取词汇权重
+
+	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 freq
+	}
+	return 0
 }
 
-// SentimentType 情感类型枚举
-type SentimentType int
+// SortByWeightAndFrequency 按权重和频次排序词频结果
+func SortByWeightAndFrequency(frequencies map[string]models.WordFreqWithWeight) []models.WordFreqWithWeight {
+	// 将map转换为slice以便排序
+	freqSlice := make([]models.WordFreqWithWeight, 0, len(frequencies))
+	for _, freq := range frequencies {
+		freqSlice = append(freqSlice, freq)
+	}
+
+	// 按权重*频次降序排列
+	sort.Slice(freqSlice, func(i, j int) bool {
+		return freqSlice[i].Weight*float64(freqSlice[i].Frequency) > freqSlice[j].Weight*float64(freqSlice[j].Frequency)
+	})
+	logger.SugaredLogger.Infof("排序后的结果:%v", freqSlice)
+
+	return freqSlice
+}
+
+// FilterAndSortWords 过滤标点符号并按权重频次排序
+func FilterAndSortWords(frequencies map[string]models.WordFreqWithWeight) []models.WordFreqWithWeight {
+	// 先过滤标点符号和分隔符
+	cleanFrequencies := FilterPunctuationAndSeparators(frequencies)
+
+	// 再按权重和频次排序
+	sortedFrequencies := SortByWeightAndFrequency(cleanFrequencies)
+
+	return sortedFrequencies
+}
+func FilterPunctuationAndSeparators(frequencies map[string]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
+		if !isPunctuationOrSeparator(word) {
+			filteredWords[word] = freqInfo
+		}
+	}
+	return filteredWords
+}
+
+// isPunctuationOrSeparator 判断是否为标点符号或分隔符
+func isPunctuationOrSeparator(word string) bool {
+	// 空字符串
+	if strings.TrimSpace(word) == "" {
+		return true
+	}
+
+	// 检查是否全部由标点符号组成
+	for _, r := range word {
+		if !unicode.IsPunct(r) && !unicode.IsSymbol(r) && !unicode.IsSpace(r) {
+			return false
+		}
+	}
+	return true
+}
+
+// FilterWithRegex 使用正则表达式过滤标点和特殊字符
+func FilterWithRegex(frequencies map[string]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:]]+$`)
+
+	for word, freqInfo := range frequencies {
+		// 过滤纯标点符号
+		if !punctuationRegex.MatchString(word) && strings.TrimSpace(word) != "" {
+			filteredWords[word] = freqInfo
+		}
+	}
+	return filteredWords
+}
+
+// countWordFrequencyWithWeight 统计词频并包含权重信息
+func countWordFrequencyWithWeight(text string) map[string]models.WordFreqWithWeight {
+	words := splitWords(text)
+	freqMap := make(map[string]models.WordFreqWithWeight)
+
+	// 统计词频
+	wordCount := make(map[string]int)
+	for _, word := range words {
+		wordCount[word]++
+	}
+
+	// 构建包含权重的结果
+	for word, frequency := range wordCount {
+		weight := getWordWeight(word)
+		if weight >= basefreq {
+			freqMap[word] = models.WordFreqWithWeight{
+				Word:      word,
+				Frequency: frequency,
+				Weight:    weight,
+				Score:     float64(frequency) * weight,
+			}
+		}
+
+	}
+
+	return freqMap
+}
+
+// AnalyzeSentimentWithFreqWeight 带权重词频统计的情感分析
+func AnalyzeSentimentWithFreqWeight(text string) (models.SentimentResult, map[string]models.WordFreqWithWeight) {
+	// 原有情感分析逻辑
+	result := AnalyzeSentiment(text)
+
+	// 带权重的词频统计
+	frequencies := countWordFrequencyWithWeight(text)
+
+	return result, frequencies
+}
 
 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
@@ -121,7 +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
@@ -131,7 +378,7 @@ func AnalyzeSentiment(text string) SentimentResult {
 		category = Neutral
 	}
 
-	return SentimentResult{
+	return models.SentimentResult{
 		Score:         score,
 		Category:      category,
 		PositiveCount: positiveCount,
@@ -244,7 +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"
@@ -289,3 +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
+}

backend/data/stock_sentiment_analysis_test.go

@@ -2,8 +2,12 @@ package data
 
 import (
 	"fmt"
+	"go-stock/backend/db"
+	"go-stock/backend/logger"
 	"strings"
 	"testing"
+
+	"github.com/duke-git/lancet/v2/random"
 )
 
 // @Author spark
@@ -12,25 +16,34 @@ import (
 //-----------------------------------------------------------------------------------
 
 func TestAnalyzeSentiment(t *testing.T) {
-	// 分析情感
-	text := " 【调查：韩国近两成中小学生过度使用智能手机或互联网】财联社6月19日电，韩国女性家族部18日公布的一项年度调查结果显示，接受调查的韩国中小学生中，共计约17.3%、即超过21万人使用智能手机或互联网的程度达到了“危险水平”，这意味着他们因过度依赖智能手机或互联网而需要关注或干预，这一比例引人担忧。 (新华社)\n"
-	text = "消息人士称，联合利华（Unilever）正在为Graze零食品牌寻找买家。\n"
-	text = "【韩国未来5年将投入51万亿韩元发展文化产业】 据韩联社，韩国文化体育观光部（文体部）今后5年将投入51万亿韩元（约合人民币2667亿元）预算，落实总统李在明在竞选时期提出的“将韩国打造成全球五大文化强国之一”的承诺。\n"
-	//text = "【油气股持续拉升 国际实业午后涨停】财联社6月19日电，油气股午后持续拉升，国际实业、宝莫股份午后涨停，准油股份、山东墨龙。茂化实华此前涨停，通源石油、海默科技、贝肯能源、中曼石油、科力股份等多股涨超5%。\n"
-	//text = " 【三大指数均跌逾1% 下跌个股近4800只】财联社6月19日电，指数持续走弱，沪指下挫跌逾1.00%，深成指跌1.25%，创业板指跌1.39%。核聚变、风电、军工、食品消费等板块指数跌幅居前，沪深京三市下跌个股近4800只。\n"
-	text = "【银行理财首单网下打新落地】财联社6月20日电，记者从多渠道获悉，光大理财以申报价格17元参与信通电子网下打新，并成功入围有效报价，成为行业内首家参与网下打新的银行理财公司。光大理财工作人员向证券时报记者表示，本次光大理财是以其管理的混合类产品“阳光橙增盈绝对收益策略”参与了此次网下打新，该产品为光大理财“固收+”银行理财产品。资料显示，信通电子成立于1996年，核心产品包括输电线路智能巡检系统、变电站智能辅控系统、移动智能终端及其他产品。根据其招股说明书，信通电子2023、2024年营业收入分别较上年增长19.08%和7.97%，净利润分别较上年增长5.6%和15.11%。 (证券时报)"
-	text = " 【以军称拦截数枚伊朗导弹】财联社6月20日电，据央视新闻报道，以军在贝尔谢巴及周边区域拦截了数枚伊朗导弹，但仍有导弹或拦截残骸落地。以色列国防军发文表示，搜救队伍正在一处“空中物体落地”的所在区域开展工作，公众目前可以离开避难场所。伊朗方面对上述说法暂无回应。"
 
+	db.Init("../../data/stock.db")
+	InitAnalyzeSentiment()
+
+	messageText := strings.Builder{}
+	news := NewMarketNewsApi().GetNewsList2("", random.RandInt(500, 1000))
+	for _, telegraph := range *news {
+		messageText.WriteString(telegraph.Content + "\n")
+	}
+
+	text := messageText.String()
+	//text = " 【周六你需要知道的隔夜全球要闻：美联储鸽声重振 美股走势回稳】 1、纽约联储行长威廉姆斯表示，随着劳动力市场走软，美联储近期内仍有再次降息的空间。 2、美联储理事斯蒂芬·米兰表示，自上次联邦公开市场委员会（FOMC）会议以来的经济数据应“促使人们偏向鸽派立场”。 3、波士顿联邦储备银行行长柯林斯表示，由于通胀可能在一段时间内保持高位，维持利率不变“目前合适”。 4、据CME“美联储观察”，截至北京时间11月22日6时30分，美联储12月降息25个基点的概率为69.4%，维持利率不变的概率为30.6%。 5、美国劳工统计局表示，11月CPI报告将于12月18日发布，同时取消了10月CPI报告发布，表示无法追溯采集政府停摆期间未能收集的部分数据。 6、俄罗斯总统普京表示，已收到美提出解决俄乌冲突的计划，俄罗斯愿意进行和平谈判。美国总统特朗普表示，他认为27日是乌克兰接受美国支持的和平计划的最后期限。 7、美联储高官鸽派言论提振市场情绪，美股三大指数收盘集体上涨，道琼斯指数涨1.08%，标普500指数涨0.98%，纳斯达克综合指数涨0.88%。甲骨文跌超5%，英伟达跌超1%。纳指本周累计跌2.74%，标普500指数累跌1.95%，道指累跌1.91%。英伟达本周累跌5.9%。 8、热门中概股多数上涨，纳斯达克中国金龙指数收涨1.23%。蔚来涨超3%，哔哩哔哩、理想汽车涨超2%，京东、小鹏汽车涨超1%。 9、国际油价下跌，交易员评估乌克兰与俄罗斯可能达成和平协议的前景。WTI 1月期货下跌1.6%，结算价报每桶58.06美元，为过去五个交易日中第四次下跌。布伦特1月期货下跌1.3%，结算价报每桶62.56美元。 10、美联储延长压力测试改进方案征询期，为银行反馈提供更多时间。 11、由于美国人对个人财务状况的看法恶化，美国消费者信心在11月跌至接近纪录最低水平；密歇根大学数据显示，11月消费者信心指数降至51，10月为53.6。 12、日本央行政策委员会委员Kazuyuki Masu表示，日本央行接近作出加息决定。 13、穆迪将意大利信用评级从BAA3上调至BAA2，展望稳定。\n"
+	//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)
 	fmt.Println(strings.Join(words, " "))
-
-	result := AnalyzeSentiment(text)
-
+	result, frequencies := AnalyzeSentimentWithFreqWeight(text)
+	// 过滤标点符号和分隔符
+	cleanFrequencies := FilterPunctuationAndSeparators(frequencies)
 	// 输出结果
-	fmt.Printf("情感分析结果: %s (得分: %.2f, 正面词:%d, 负面词:%d)\n",
+	logger.SugaredLogger.Infof("情感分析结果: %s (得分: %.2f, 正面词:%d, 负面词:%d)\n 词频统计结果: %v",
 		result.Description,
 		result.Score,
 		result.PositiveCount,
-		result.NegativeCount)
+		result.NegativeCount,
+		cleanFrequencies,
+	)
 
 }

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
 }

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:"-"`
+}

frontend/components.d.ts

@@ -11,6 +11,7 @@ declare module 'vue' {
     About: typeof import('./src/components/about.vue')['default']
     AgentChat: typeof import('./src/components/agent-chat.vue')['default']
     AgentChat_bk: typeof import('./src/components/agent-chat_bk.vue')['default']
+    AnalyzeMartket: typeof import('./src/components/AnalyzeMartket.vue')['default']
     ClsCalendarTimeLine: typeof import('./src/components/ClsCalendarTimeLine.vue')['default']
     EmbeddedUrl: typeof import('./src/components/EmbeddedUrl.vue')['default']
     Fund: typeof import('./src/components/fund.vue')['default']

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",

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",

frontend/package.json.md5

@@ -1 +1 @@
-b0b9f944d9af9c00b6d48234793db58c
+f4fb0059ba6044c039be717fcc2e40bc

frontend/src/App.vue

@@ -53,6 +53,7 @@ const containerRef = ref({})
 const realtimeProfit = ref(0)
 const telegraph = ref([])
 const groupList = ref([])
+const officialStatement= ref("")
 const menuOptions = ref([
   {
     label: () =>
@@ -599,6 +600,7 @@ onBeforeMount(() => {
   GetVersionInfo().then(result => {
     if(result.officialStatement){
       content.value = result.officialStatement+"\n\n"+content.value
+      officialStatement.value = result.officialStatement
     }
   })
 
@@ -669,7 +671,7 @@ onBeforeMount(() => {
 })
 
 onMounted(() => {
-  WindowSetTitle("go-stock：AI赋能股票分析✨  未经授权,禁止商业目的！ [数据来源于网络,仅供参考;投资有风险,入市需谨慎]")
+  WindowSetTitle("go-stock：AI赋能股票分析✨ "+officialStatement.value+"  未经授权,禁止商业目的！ [数据来源于网络,仅供参考;投资有风险,入市需谨慎]")
   contentStyle.value = "max-height: calc(92vh);overflow: hidden"
   GetConfig().then((res) => {
     if (res.enableNews) {

frontend/src/components/AnalyzeMartket.vue

@@ -0,0 +1,316 @@
+<script setup>
+
+import {AnalyzeSentimentWithFreqWeight,GlobalStockIndexes} from "../../wailsjs/go/main/App";
+import * as echarts from "echarts";
+import {onMounted,onUnmounted, ref} from "vue";
+import _ from "lodash";
+const { name,darkTheme,kDays ,chartHeight} = defineProps({
+  name: {
+    type: String,
+    default: ''
+  },
+  kDays: {
+    type: Number,
+    default: 14
+  },
+  chartHeight: {
+    type: Number,
+    default: 500
+  },
+  darkTheme: {
+    type: Boolean,
+    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) => {
+    const treemapchart = echarts.init(chartRef.value);
+    const gaugeChart=echarts.init(gaugeChartRef.value);
+    let data = res['frequencies'].map(item => ({
+      name: item.Word,
+      // value: item.Frequency,
+      // value: item.Weight,
+      frequency: item.Frequency,
+      weight: item.Weight,
+      value: item.Score,
+    }));
+
+    let data2 = res['frequencies'].map(item => ({
+      name: item.Word,
+       value: item.Frequency,
+      // value: item.Weight,
+      frequency: item.Frequency,
+      weight: item.Weight,
+      //value: item.Score,
+    }));
+
+    let data3 = res['frequencies'].map(item => ({
+      name: item.Word,
+      //value: item.Frequency,
+       value: item.Weight,
+      frequency: item.Frequency,
+      weight: item.Weight,
+      //value: item.Score,
+    }));
+
+    let option = {
+      darkMode: darkTheme,
+      title: {
+        text:name,
+        left: 'center',
+        textStyle: {
+          color: darkTheme?'#ccc':'#456'
+        }
+      },
+      legend: {
+        show: false
+      },
+      toolbox: {
+        left: '20px',
+        tooltip:{
+          textStyle: {
+            color: darkTheme?'#ccc':'#456'
+          }
+        },
+        feature: {
+          saveAsImage: {title: '保存图片'},
+          restore: {
+            title: '默认',
+          },
+          myTool2: {
+            show: true,
+            title: '按权重',
+            icon:"path://M393.8816 148.1216a29.3376 29.3376 0 0 1-15.2576 38.0928c-43.776 17.152-81.92 43.8272-114.2784 76.2368A345.7536 345.7536 0 0 0 159.5392 512 352.8704 352.8704 0 0 0 512 864.4608a351.744 351.744 0 0 0 249.5488-102.912 353.536 353.536 0 0 0 76.2368-114.2784c5.6832-15.2576 22.8352-20.992 38.0928-15.2576 15.2576 5.7344 20.992 22.8864 15.2576 38.0928a421.2224 421.2224 0 0 1-89.6 133.376A412.6208 412.6208 0 0 1 512 921.6c-226.7136 0-409.6-182.8864-409.6-409.6 0-108.544 41.9328-211.456 120.0128-289.5872A421.2224 421.2224 0 0 1 355.84 132.864a29.3376 29.3376 0 0 1 38.0928 15.2576zM512 102.4c226.7136 0 409.6 182.8864 409.6 409.6 0 15.2576-13.312 28.5696-28.5696 28.5696H512A29.2864 29.2864 0 0 1 483.4304 512V130.9696c0-15.2576 13.312-28.5696 28.5696-28.5696z m28.5696 59.0336v321.9968h321.9968a350.976 350.976 0 0 0-321.9968-321.9968z",
+            onclick: function (){
+              treemapchart.setOption( {series:{
+                  data: data3
+                }})
+            }
+          },
+          myTool1: {
+            show: true,
+            title: '按频次',
+            icon:"path://M895.466667 476.8l-87.424-87.424v-123.626667a49.770667 49.770667 0 0 0-49.770667-49.770666h-123.626667L547.2 128.533333a49.792 49.792 0 0 0-70.4 0l-87.424 87.424h-123.626667a49.770667 49.770667 0 0 0-49.770666 49.770667v123.626667L128.533333 476.8a49.792 49.792 0 0 0 0 70.4l87.424 87.424v123.626667a49.770667 49.770667 0 0 0 49.770667 49.770666h123.626667l87.424 87.424a49.792 49.792 0 0 0 70.4 0l87.424-87.424h123.626666a49.770667 49.770667 0 0 0 49.770667-49.770666v-123.626667l87.424-87.424a49.749333 49.749333 0 0 0 0.042667-70.4z m-137.216 137.194667v144.256h-144.256L512 860.266667l-101.994667-101.994667h-144.256v-144.256L163.733333 512l101.994667-101.994667v-144.256h144.256L512 163.733333l101.994667 101.994667h144.256v144.256L860.266667 512l-102.016 101.994667z M414.378667 514.730667l28.672 10.922666c-18.090667 47.445333-38.229333 92.16-60.757334 133.802667l-30.037333-13.653333a1042.133333 1042.133333 0 0 0 62.122667-131.072zM381.952 367.616L355.669333 384c25.258667 26.282667 45.056 50.176 60.074667 72.021333l25.6-17.749333c-13.994667-20.48-33.792-44.032-59.392-70.656zM537.258667 455.338667c-0.682667 43.690667-6.144 79.189333-16.725334 106.837333-14.336 32.768-44.373333 60.416-89.429333 82.944l21.162667 25.941333c52.224-26.624 85.333333-60.074667 99.328-100.693333 1.706667-5.12 3.413333-10.24 4.778666-15.36 21.504 45.738667 52.906667 83.968 93.866667 115.370667l21.504-24.917334c-51.2-34.474667-86.357333-81.237333-105.813333-140.288 1.706667-15.701333 2.730667-32.085333 2.730666-49.834666h-31.402666z M508.586667 434.858667h115.712c-6.826667 25.258667-15.018667 47.786667-24.917334 66.901333l31.744 8.874667a627.008 627.008 0 0 0 27.989334-85.674667v-21.162667H517.12c3.413333-14.336 6.144-29.354667 8.874667-45.738666l-32.426667-5.12c-7.850667 59.392-25.6 105.813333-52.906667 139.264l26.965334 19.114666c16.725333-19.114667 30.378667-44.373333 40.96-76.458666z",
+            onclick: function (){
+              treemapchart.setOption( {series:{
+                  data: data2
+                }})
+            }
+          }
+        }
+      },
+      tooltip: {
+        formatter: function (info) {
+          var value = info.value.toFixed(2);
+          var frequency = info.data.frequency;
+          var weight = info.data.weight;
+          return [
+            '<div class="tooltip-title">' + info.name+ '</div>',
+            '热度: ' + formatUtil.addCommas(value) + '',
+            '<div class="tooltip-title">频次: ' +  formatUtil.addCommas(frequency)+ '</div>',
+            '<div class="tooltip-title">权重: ' +  formatUtil.addCommas(weight)+ '</div>',
+          ].join('');
+        }
+      },
+      series: [
+        {
+          type: 'treemap',
+          breadcrumb:{show: false},
+          left: '0',
+          top: '40',
+          right: '0',
+          bottom: '0',
+          tooltip: {
+            show: true
+          },
+          data: data
+        }
+      ]
+    };
+    treemapchart.setOption(option);
+
+
+
+    let option2 = {
+      darkMode: darkTheme,
+      series: [
+        {
+          type: 'gauge',
+          startAngle: 180,
+          endAngle: 0,
+          center: ['50%', '75%'],
+          radius: '90%',
+          min: -100,
+          max: 100,
+          splitNumber: 8,
+          axisLine: {
+            lineStyle: {
+              width: 6,
+              color: [
+                // [0.25, '#FF6E76'],
+                // [0.5, '#FDDD60'],
+                // [0.75, '#58D9F9'],
+                // [1, '#7CFFB2'],
+
+                [0.25, '#03fb6a'],
+                [0.5, '#58e1f9'],
+                [0.75, '#ef5922'],
+                [1, '#f11d29'],
+
+              ]
+            }
+          },
+          pointer: {
+            icon: 'path://M12.8,0.7l12,40.1H0.7L12.8,0.7z',
+            length: '12%',
+            width: 20,
+            offsetCenter: [0, '-60%'],
+            itemStyle: {
+              color: 'auto'
+            }
+          },
+          axisTick: {
+            length: 12,
+            lineStyle: {
+              color: 'auto',
+              width: 2
+            }
+          },
+          splitLine: {
+            length: 20,
+            lineStyle: {
+              color: 'auto',
+              width: 5
+            }
+          },
+          axisLabel: {
+            color:  darkTheme?'#ccc':'#456',
+            fontSize: 20,
+            distance: -45,
+            rotate: 'tangential',
+            formatter: function (value) {
+              if (value ===100) {
+                return '极热';
+              } else if (value === 50) {
+                return '乐观';
+              }  else if (value === 0) {
+                return '中性';
+              }else if (value === -50) {
+                return '谨慎';
+              } else if (value === -100) {
+                return '冰点';
+              }
+              return '';
+            }
+          },
+          title: {
+            offsetCenter: [0, '-10%'],
+            fontSize: 20
+          },
+          detail: {
+            fontSize: 30,
+            offsetCenter: [0, '-35%'],
+            valueAnimation: true,
+            formatter: function (value) {
+              return value.toFixed(2) + '';
+            },
+            color: 'inherit'
+          },
+          data: [
+            {
+              value: res.result.Score*0.2,
+              name: '市场情绪强弱'
+            }
+          ]
+        }
+      ]
+    };
+    gaugeChart.setOption(option2);
+  })
+}
+</script>
+
+<template>
+  <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>
+
+</style>

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)

frontend/src/components/market.vue

@@ -1,5 +1,6 @@
 <script setup>
-import {computed, h, onBeforeMount, onBeforeUnmount, onMounted, ref} from 'vue'
+import * as echarts from "echarts";
+import {computed, h, onBeforeMount, onBeforeUnmount, onMounted,onUnmounted, ref} from 'vue'
 import {
   GetAIResponseResult,
   GetConfig,
@@ -12,7 +13,7 @@ import {
   SaveAsMarkdown,
   ShareAnalysis,
   SummaryStockNews,
-  GetAiConfigs
+  GetAiConfigs,
 } from "../../wailsjs/go/main/App";
 import {EventsOff, EventsOn} from "../../wailsjs/runtime";
 import NewsList from "./newsList.vue";
@@ -44,6 +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([])
@@ -53,6 +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'
 })
@@ -75,6 +78,9 @@ 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;
 
 function getIndex() {
   GlobalStockIndexes().then((res) => {
@@ -93,6 +99,7 @@ onBeforeMount(() => {
   GetConfig().then(result => {
     summaryBTN.value = result.openAiEnable
     darkTheme.value = result.darkTheme
+    httpProxyEnabled.value = result.httpProxyEnabled
   })
   GetPromptTemplates("", "").then(res => {
     promptTemplates.value = res
@@ -104,13 +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(() => {
@@ -120,7 +129,12 @@ onBeforeMount(() => {
   indexIndustryRank.value = setInterval(() => {
     industryRank()
   }, 1000 * 10)
+
+
 })
+onMounted(() => {
+})
+
 
 onBeforeUnmount(() => {
   EventsOff("changeMarketTab")
@@ -131,8 +145,12 @@ onBeforeUnmount(() => {
   clearInterval(indexIndustryRank.value)
 })
 
+onUnmounted(() => {
+
+});
 EventsOn("changeMarketTab", async (msg) => {
   //message.info(msg.name)
+  console.log(msg.name)
   updateTab(msg.name)
 })
 
@@ -152,6 +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 = () => {
@@ -198,7 +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() {
@@ -312,6 +338,9 @@ function ReFlesh(source) {
     if (source === "新浪财经") {
       sinaNewsList.value = res
     }
+    if (source === "外媒") {
+      foreignNewsList.value = res
+    }
   })
 }
 </script>
@@ -320,14 +349,26 @@ function ReFlesh(source) {
   <n-card>
     <n-tabs type="line" animated @update-value="updateTab" :value="nowTab" style="--wails-draggable:no-drag">
       <n-tab-pane name="市场快讯" tab="市场快讯">
-        <n-grid :cols="2" :y-gap="0">
+        <n-grid :cols="1" :y-gap="0">
           <n-gi>
-            <news-list :newsList="telegraphList" :header-title="'财联社电报'" @update:message="ReFlesh"></news-list>
+            <AnalyzeMartket :dark-theme="darkTheme" :chart-height="300" :kDays="1" :name="'最近24小时热词'" />
           </n-gi>
           <n-gi>
-            <news-list :newsList="sinaNewsList" :header-title="'新浪财经'" @update:message="ReFlesh"></news-list>
+            <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>
+
       </n-tab-pane>
       <n-tab-pane name="全球股指" tab="全球股指">
         <n-tabs type="segment" animated>
@@ -664,6 +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">

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>
@@ -49,6 +65,9 @@ const updateMessage = () => {
             <n-text type="warning">查看原文</n-text>
           </a>
         </n-tag>
+        <n-tag v-if="item.sentimentResult" :bordered="false" :type="item.sentimentResult==='看涨'?'error':item.sentimentResult==='看跌'?'success':'info'" size="small">
+          {{ item.sentimentResult }}
+        </n-tag>
       </n-space>
     </n-list-item>
   </n-list>

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>

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>

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">

frontend/wailsjs/go/main/App.d.ts

@@ -12,7 +12,9 @@ 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>>;
 
 export function ChatWithAgent(arg1:string,arg2:number,arg3:any):Promise<void>;
 
@@ -94,7 +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>;
 
@@ -134,7 +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>;
 

frontend/wailsjs/go/main/App.js

@@ -22,6 +22,10 @@ export function AnalyzeSentiment(arg1) {
   return window['go']['main']['App']['AnalyzeSentiment'](arg1);
 }
 
+export function AnalyzeSentimentWithFreqWeight(arg1) {
+  return window['go']['main']['App']['AnalyzeSentimentWithFreqWeight'](arg1);
+}
+
 export function ChatWithAgent(arg1, arg2, arg3) {
   return window['go']['main']['App']['ChatWithAgent'](arg1, arg2, arg3);
 }
@@ -182,8 +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) {
@@ -262,8 +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) {

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

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);
 }

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

main.go

@@ -58,8 +58,16 @@ 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()
 	go AutoMigrate()
 
 	//db.Dao.Model(&data.Group{}).Where("id = ?", 0).FirstOrCreate(&data.Group{
@@ -67,6 +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()
@@ -124,7 +136,7 @@ func main() {
 
 	// Create application with options
 	err = wails.Run(&options.App{
-		Title:     "go-stock：AI赋能股票分析✨",
+		Title:     "go-stock：AI赋能股票分析✨ " + OFFICIAL_STATEMENT,
 		Width:     width * 4 / 5,
 		Height:    920,
 		MinWidth:  minWidth,
@@ -149,7 +161,7 @@ func main() {
 		OnShutdown:               app.shutdown,
 		WindowStartState:         options.Normal,
 		SingleInstanceLock: &options.SingleInstanceLock{
-			UniqueId:               "go-stock-dev",
+			UniqueId:               "go-stock",
 			OnSecondInstanceLaunch: OnSecondInstanceLaunch,
 		},
 		Bind: []interface{}{
@@ -229,6 +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()
 }