feat(data):添加AI分析报告和ai推荐股票的历史数据查看功能

- 创建aiRecommendStocksList组件展示AI股票推荐列表
- 创建researchIndex组件作为研究分析主界面包含分析报告和股票推荐
- 创建researchReport组件展示AI分析报告列表和详情预览

.github/workflows/main.yml

@@ -29,6 +29,12 @@ jobs:
           - name: 'go-stock-darwin-universal'
             platform: 'darwin/universal'
             os: 'macos-latest'
+          - name: 'go-stock-darwin-intel'
+            platform: 'darwin'
+            os: 'macos-latest'
+          - name: 'go-stock-darwin-arm64'
+            platform: 'darwin/arm64'
+            os: 'macos-latest'
 
     runs-on: ${{ matrix.build.os }}
     steps:

README.md

@@ -53,7 +53,7 @@
 |:--------------------------------|----------------|:-------------------------------------------------------|
 | 每月 0 RMB	                       | vip0	          | 🌟 全部功能,软件自动更新(从GitHub下载),自行解决github平台网络问题。            |
 | 每月赞助 18.8 RMB<br>每年赞助 120 RMB		 | vip1	          | 💕 全部功能,软件自动更新(从CDN下载),更新快速便捷。AI配置指导，提示词参考等            |
-| 每月赞助 28.8 RMB<br>每年赞助 240 RMB		 | vip2	          | 💕 💕 vip1全部功能,赠送硅基流动AI分析服务                            |
+| 每月赞助 28.8 RMB<br>每年赞助 240 RMB		 | vip2	          | 💕 💕 vip1全部功能,启动时自动同步最近24小时市场资讯(包括外媒简讯)               |
 | 每月赞助 X RMB			                   | vipX	          | 🧩 更多计划，视go-stock开源项目发展情况而定...(承接GitHub项目README广告推广💖) |
 
 ## 🧩 重大功能开发计划
@@ -69,6 +69,11 @@
 | 不再强制依赖Chrome浏览器 | ✅  | 默认使用edge浏览器抓取新闻资讯                                                                                        |
 
 ## 👀 更新日志
+### 2025.12.16 新增AI思考模式与热门选股策略功能
+### 2025.11.21 新增带频率权重的情感分析功能
+### 2025.10.30 添加AI智能体功能开关(默认关闭，因为使用体验不理想)，移除页面水印
+### 2025.09.27 添加机构/券商的研究报告AI工具函数
+### 2025.08.09 添加AI智能体聊天功能
 ### 2025.07.08 实现软件自动更新功能
 ### 2025.07.07 卡片添加迷你分时图
 ### 2025.07.05 MacOs支持
@@ -116,6 +121,8 @@
 
 ## 🦄 重大更新
 ### BIG NEWS !!! 重大更新！！！
+- 2025.11.21 新增带频率权重的情感分析功能
+![img_1.png](build/screenshot/img15.png)
 - 2025.04.25 市场资讯支持AI分析和总结：让AI帮你读市场！
 ![img.png](img.png)
 - 2025.04.24 新增市场行情模块：即时掌握全球市场行情资讯/动态，从此再也不用偷摸去各大财经网站啦。go-stock一键帮你搞定！
@@ -162,15 +169,15 @@
 
 ## 🐳 关于技术支持申明
 - 本软件基于开源技术构建，使用Wails、NaiveUI、Vue、AI大模型等开源项目。 技术上如有问题，可以先向对应的开源社区请求帮助。
-- 开源不易，本人精力和时间有限，如需一对一技术支持，请先赞助。联系微信(备注 技术支持)：ArvinLovegood
+- 开源不易，本人精力和时间有限，如需一对一技术支持，请先赞助。联系QQ(备注 技术支持)：506808970
 
-<img src="./build/wx.jpg" width="301px" height="402px" alt="ArvinLovegood">
+[//]: # (<img src="./build/wx.jpg" width="301px" height="402px" alt="ArvinLovegood">)
 
 
 | 技术支持方式                          | 赞助(元) | 
 |:--------------------------------|:-----:|
-| 加 QQ：506808970，微信：ArvinLovegood | 100/次 |
-| 长期技术支持（不限次数，新功能优先体验等）            | 5000  |                  
+| 加 QQ：506808970                  | 100/次 |
+| 长期技术支持（不限次数，新功能优先体验等）           | 5000  |                  
 
 
 

app.go

@@ -1,6 +1,7 @@
 package main
 
 import (
+	"bufio"
 	"bytes"
 	"context"
 	"encoding/base64"
@@ -18,6 +19,7 @@ import (
 
 	"github.com/duke-git/lancet/v2/cryptor"
 	"github.com/inconshreveable/go-update"
+	"golang.org/x/exp/slices"
 
 	"github.com/PuerkitoBio/goquery"
 	"github.com/coocood/freecache"
@@ -38,6 +40,7 @@ type App struct {
 	cronEntrys  map[string]cron.EntryID
 	AiTools     []data.Tool
 	SponsorInfo map[string]any
+	VipLevel    int64
 }
 
 // NewApp creates a new App application struct
@@ -62,19 +65,23 @@ 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{
 						"type": "string",
 						"description": "选股自然语言。" +
+							"例如:查看技术指标：上海贝岭,macd,rsi,kdj,boll,5日均线,14日均线,30日均线,60日均线,成交量,OBV,EMA" +
+							"例如:查看近期趋势：量比连续2天>1，主力连续2日净流入且递增，主力净额>3000万元，行业，股价在20日线上" +
+							"例如:当日成交量 ≥ 近 5 日平均成交量 ×1.5，收盘价 ≥ 20 日均线，20 日均线 ≥ 60 日均线，当日涨幅 3%-7%， 3日主力资金净流入累计≥5000 万元，当日换手率 5%-15%，筹码集中度（90% 筹码峰）≤15%，非创业板非科创板非ST非北交所，行业，" +
+							"例如:查看有潜力的成交量爆发股：最近7日成交量量比大于3，出现过一次，非ST" +
 							"例1：创新药,半导体;PE<30;净利润增长率>50%。 " +
 							"例2：上证指数,科创50。 " +
 							"例3：长电科技,上海贝岭。" +
-							"例4：长电科技,上海贝岭;KDJ,MACD,RSI,BOLL,主力净流入/流出" +
+							"例4：长电科技,上海贝岭;KDJ,MACD,RSI,BOLL,主力资金" +
 							"例5：换手率大于3%小于25%.量比1以上. 10日内有过涨停.股价处于峰值的二分之一以下.流通股本<100亿.当日和连续四日净流入;股价在20日均线以上.分时图股价在均线之上.热门板块下涨幅领先的A股. 当日量能20000手以上.沪深个股.近一年市盈率波动小于150%.MACD金叉;不要ST股及不要退市股，非北交所，每股收益>0。" +
 							"例6：沪深主板.流通市值小于100亿.市值大于10亿.60分钟dif大于dea.60分钟skdj指标k值大于d值.skdj指标k值小于90.换手率大于3%.成交额大于1亿元.量比大于2.涨幅大于2%小于7%.股价大于5小于50.创业板.10日均线大于20日均线;不要ST股及不要退市股;不要北交所;不要科创板;不要创业板。" +
-							"例7：股价在20日线上，一月之内涨停次数>=1，量比大于1，换手率大于3%，流通市值大于 50亿小于200亿。" +
+							"例7：股价在20日线上，一月之内涨停次数>=1，量比大于1，换手率大于3%" +
 							"例8：基本条件：前期有爆量，回调到 10 日线，当日是缩量阴线，均线趋势向上。;优选条件：一月之内涨停次数>=1",
 					},
 				},
@@ -88,7 +95,7 @@ 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 +117,7 @@ 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{
@@ -162,7 +169,7 @@ func AddTools(tools []data.Tool) []data.Tool {
 		Function: data.ToolFunction{
 			Name:        "GetStockResearchReport",
 			Description: "获取市场分析师的股票研究报告",
-			Parameters: data.FunctionParameters{
+			Parameters: &data.FunctionParameters{
 				Type: "object",
 				Properties: map[string]any{
 					"stockCode": map[string]any{
@@ -175,6 +182,138 @@ 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",
+		},
+	})
+
+	tools = append(tools, data.Tool{
+		Type: "function",
+		Function: data.ToolFunction{
+			Name:        "HotStockTable",
+			Description: "当前热门股票排名",
+			Parameters: &data.FunctionParameters{
+				Type: "object",
+				Properties: map[string]any{
+					"pageSize": map[string]any{
+						"type":        "string",
+						"description": "分页大小",
+					},
+				},
+				Required: []string{"pageSize"},
+			},
+		},
+	})
+
+	tools = append(tools, data.Tool{
+		Type: "function",
+		Function: data.ToolFunction{
+			Name:        "GetStockMoneyData",
+			Description: "今日股票资金流入排名",
+			Parameters: &data.FunctionParameters{
+				Type: "object",
+				Properties: map[string]any{
+					"pageSize": map[string]any{
+						"type":        "string",
+						"description": "分页大小",
+					},
+				},
+				Required: []string{"pageSize"},
+			},
+		},
+	})
+	tools = append(tools, data.Tool{
+		Type: "function",
+		Function: data.ToolFunction{
+			Name:        "GetStockConceptInfo",
+			Description: "获取股票所属概念详细信息",
+			Parameters: &data.FunctionParameters{
+				Type: "object",
+				Properties: map[string]any{
+					"code": map[string]any{
+						"type":        "string",
+						"description": "股票代码,如：601138.SH。注意 上海证券交易所股票以.SH结尾，深圳证券交易所股票以.SZ结尾，港股股票以.HK结尾，北交所股票以.BJ结尾，",
+					},
+				},
+				Required: []string{"code"},
+			},
+		},
+	})
+
+	//CreateAiRecommendStocks
+	tools = append(tools, data.Tool{
+		Type: "function",
+		Function: data.ToolFunction{
+			Name:        "CreateAiRecommendStocks",
+			Description: "创建/保存AI推荐股票记录",
+			Parameters: &data.FunctionParameters{
+				Type: "object",
+				Properties: map[string]any{
+					"modelName": map[string]any{
+						"type":        "string",
+						"description": "模型名称",
+					},
+					"stockCode": map[string]any{
+						"type":        "string",
+						"description": "股票代码,如：601138.SH。注意 上海证券交易所股票以.SH结尾，深圳证券交易所股票以.SZ结尾，港股股票以.HK结尾，北交所股票以.BJ结尾，",
+					},
+					"stockName": map[string]any{
+						"type":        "string",
+						"description": "股票名称",
+					},
+					"bkCode": map[string]any{
+						"type":        "string",
+						"description": "板块/行业代码",
+					},
+					"bkName": map[string]any{
+						"type":        "string",
+						"description": "板块/行业名称",
+					},
+					"stockPrice": map[string]any{
+						"type":        "string",
+						"description": "推荐时股票价格",
+					},
+					"stockPrePrice": map[string]any{
+						"type":        "string",
+						"description": "前一交易日股票价格",
+					},
+					"stockClosePrice": map[string]any{
+						"type":        "string",
+						"description": "推荐时股票收盘价格",
+					},
+					"recommendReason": map[string]any{
+						"type":        "string",
+						"description": "推荐理由/驱动因素/逻辑",
+					},
+					"recommendBuyPrice": map[string]any{
+						"type":        "string",
+						"description": "ai建议买入价",
+					},
+					"recommendStopProfitPrice": map[string]any{
+						"type":        "string",
+						"description": "ai建议止盈价",
+					},
+					"recommendStopLossPrice": map[string]any{
+						"type":        "string",
+						"description": "ai建议止损价",
+					},
+					"riskRemarks": map[string]any{
+						"type":        "string",
+						"description": "风险提示",
+					},
+					"remarks": map[string]any{
+						"type":        "string",
+						"description": "备注",
+					},
+				},
+				Required: []string{"stockCode", "stockName"},
+			},
+		},
+	})
+
 	return tools
 }
 
@@ -245,8 +384,16 @@ func (a *App) CheckUpdate(flag int) {
 		return
 	}
 	logger.SugaredLogger.Infof("releaseVersion:%+v", releaseVersion.TagName)
-	if releaseVersion.TagName != Version {
 
+	if _, vipLevel, ok := a.isVip(sponsorCode, "", releaseVersion); ok {
+		level, _ := convertor.ToInt(vipLevel)
+		a.VipLevel = level
+		if level >= 2 {
+			go a.syncNews()
+		}
+	}
+
+	if releaseVersion.TagName != Version {
 		tag := &models.Tag{}
 		_, err = resty.New().R().
 			SetResult(tag).
@@ -271,59 +418,9 @@ func (a *App) CheckUpdate(flag int) {
 		if IsMacOS() {
 			downloadUrl = fmt.Sprintf("https://github.com/ArvinLovegood/go-stock/releases/download/%s/go-stock-darwin-universal", releaseVersion.TagName)
 		}
-		sponsorCode = strutil.Trim(a.GetConfig().SponsorCode)
-		if sponsorCode != "" {
-			encrypted, err := hex.DecodeString(sponsorCode)
-			if err != nil {
-				logger.SugaredLogger.Error(err.Error())
-				return
-			}
-			key, err := hex.DecodeString(BuildKey)
-			if err != nil {
-				logger.SugaredLogger.Error(err.Error())
-				return
-			}
-			decrypt := string(cryptor.AesEcbDecrypt(encrypted, key))
-			err = json.Unmarshal([]byte(decrypt), &a.SponsorInfo)
-			if err != nil {
-				logger.SugaredLogger.Error(err.Error())
-				return
-			}
-			vipStartTime, err := time.ParseInLocation("2006-01-02 15:04:05", a.SponsorInfo["vipStartTime"].(string), time.Local)
-			vipEndTime, err := time.ParseInLocation("2006-01-02 15:04:05", a.SponsorInfo["vipEndTime"].(string), time.Local)
-			vipAuthTime, err := time.ParseInLocation("2006-01-02 15:04:05", a.SponsorInfo["vipAuthTime"].(string), time.Local)
-			if err != nil {
-				logger.SugaredLogger.Error(err.Error())
-				return
-			}
-			isVip := false
-
-			if time.Now().After(vipAuthTime) && time.Now().After(vipStartTime) && time.Now().Before(vipEndTime) {
-				isVip = true
-			}
-
-			if IsWindows() {
-				if isVip {
-					if a.SponsorInfo["winDownUrl"] == nil {
-						downloadUrl = fmt.Sprintf("https://gitproxy.click/https://github.com/ArvinLovegood/go-stock/releases/download/%s/go-stock-windows-amd64.exe", releaseVersion.TagName)
-					} else {
-						downloadUrl = a.SponsorInfo["winDownUrl"].(string)
-					}
-				} else {
-					downloadUrl = fmt.Sprintf("https://github.com/ArvinLovegood/go-stock/releases/download/%s/go-stock-windows-amd64.exe", releaseVersion.TagName)
-				}
-			}
-			if IsMacOS() {
-				if isVip {
-					if a.SponsorInfo["macDownUrl"] == nil {
-						downloadUrl = fmt.Sprintf("https://gitproxy.click/https://github.com/ArvinLovegood/go-stock/releases/download/%s/go-stock-darwin-universal", releaseVersion.TagName)
-					} else {
-						downloadUrl = a.SponsorInfo["macDownUrl"].(string)
-					}
-				} else {
-					downloadUrl = fmt.Sprintf("https://github.com/ArvinLovegood/go-stock/releases/download/%s/go-stock-darwin-universal", releaseVersion.TagName)
-				}
-			}
+		downloadUrl, _, done := a.isVip(sponsorCode, downloadUrl, releaseVersion)
+		if !done {
+			return
 		}
 		go runtime.EventsEmit(a.ctx, "newsPush", map[string]any{
 			"time":    "发现新版本：" + releaseVersion.TagName,
@@ -379,6 +476,147 @@ func (a *App) CheckUpdate(flag int) {
 	}
 }
 
+func (a *App) isVip(sponsorCode string, downloadUrl string, releaseVersion *models.GitHubReleaseVersion) (string, string, bool) {
+	isVip := false
+	vipLevel := "0"
+	sponsorCode = strutil.Trim(a.GetConfig().SponsorCode)
+	if sponsorCode != "" {
+		encrypted, err := hex.DecodeString(sponsorCode)
+		if err != nil {
+			logger.SugaredLogger.Error(err.Error())
+			return "", "0", false
+		}
+		key, err := hex.DecodeString(BuildKey)
+		if err != nil {
+			logger.SugaredLogger.Error(err.Error())
+			return "", "0", false
+		}
+		decrypt := string(cryptor.AesEcbDecrypt(encrypted, key))
+		err = json.Unmarshal([]byte(decrypt), &a.SponsorInfo)
+		if err != nil {
+			logger.SugaredLogger.Error(err.Error())
+			return "", "0", false
+		}
+		vipLevel = a.SponsorInfo["vipLevel"].(string)
+		vipStartTime, err := time.ParseInLocation("2006-01-02 15:04:05", a.SponsorInfo["vipStartTime"].(string), time.Local)
+		vipEndTime, err := time.ParseInLocation("2006-01-02 15:04:05", a.SponsorInfo["vipEndTime"].(string), time.Local)
+		vipAuthTime, err := time.ParseInLocation("2006-01-02 15:04:05", a.SponsorInfo["vipAuthTime"].(string), time.Local)
+		if err != nil {
+			logger.SugaredLogger.Error(err.Error())
+			return "", vipLevel, false
+		}
+
+		if time.Now().After(vipAuthTime) && time.Now().After(vipStartTime) && time.Now().Before(vipEndTime) {
+			isVip = true
+		}
+
+		if IsWindows() {
+			if isVip {
+				if a.SponsorInfo["winDownUrl"] == nil {
+					downloadUrl = fmt.Sprintf("https://gitproxy.click/https://github.com/ArvinLovegood/go-stock/releases/download/%s/go-stock-windows-amd64.exe", releaseVersion.TagName)
+				} else {
+					downloadUrl = a.SponsorInfo["winDownUrl"].(string)
+				}
+			} else {
+				downloadUrl = fmt.Sprintf("https://github.com/ArvinLovegood/go-stock/releases/download/%s/go-stock-windows-amd64.exe", releaseVersion.TagName)
+			}
+		}
+		if IsMacOS() {
+			if isVip {
+				if a.SponsorInfo["macDownUrl"] == nil {
+					downloadUrl = fmt.Sprintf("https://gitproxy.click/https://github.com/ArvinLovegood/go-stock/releases/download/%s/go-stock-darwin-universal", releaseVersion.TagName)
+				} else {
+					downloadUrl = a.SponsorInfo["macDownUrl"].(string)
+				}
+			} else {
+				downloadUrl = fmt.Sprintf("https://github.com/ArvinLovegood/go-stock/releases/download/%s/go-stock-darwin-universal", releaseVersion.TagName)
+			}
+		}
+
+	}
+	return downloadUrl, vipLevel, isVip
+}
+
+func (a *App) syncNews() {
+	defer PanicHandler()
+	client := resty.New()
+	url := fmt.Sprintf("http://go-stock.sparkmemory.top:16666/FinancialNews/json?since=%d", time.Now().Add(-24*time.Hour).Unix())
+	logger.SugaredLogger.Infof("syncNews:%s", url)
+	resp, err := client.R().SetDoNotParseResponse(true).Get(url)
+	body := resp.RawBody()
+	defer body.Close()
+	if err != nil {
+		logger.SugaredLogger.Errorf("syncNews error:%s", err.Error())
+	}
+	scanner := bufio.NewScanner(body)
+	for scanner.Scan() {
+		line := scanner.Text()
+		logger.SugaredLogger.Infof("Received data: %s", line)
+		news := &models.NtfyNews{}
+		err := json.Unmarshal(scanner.Bytes(), news)
+		if err != nil {
+			return
+		}
+		dataTime := time.UnixMilli(int64(news.Time * 1000))
+
+		if slice.ContainAny(news.Tags, []string{"外媒资讯", "财联社电报", "新浪财经", "外媒简讯", "外媒"}) {
+			isRed := false
+			if slice.Contain(news.Tags, "rotating_light") {
+				isRed = true
+			}
+			telegraph := &models.Telegraph{
+				Title:           news.Title,
+				Content:         news.Message,
+				DataTime:        &dataTime,
+				IsRed:           isRed,
+				Time:            dataTime.Format("15:04:05"),
+				Source:          GetSource(news.Tags),
+				SentimentResult: data.AnalyzeSentiment(news.Message).Description,
+			}
+			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 {
+				db.Dao.Model(telegraph).Create(&telegraph)
+				//计算时间差如果<5分钟则推送
+				if time.Now().Sub(dataTime) < 5*time.Minute {
+					a.NewsPush(&[]models.Telegraph{*telegraph})
+				}
+				tags := slice.Filter(news.Tags, func(index int, item string) bool {
+					return !(item == "rotating_light" || item == "loudspeaker")
+				})
+				for _, subject := range tags {
+					tag := &models.Tags{
+						Name: subject,
+						Type: "subject",
+					}
+					db.Dao.Model(tag).Where("name=? and type=?", subject, "subject").FirstOrCreate(&tag)
+					db.Dao.Model(models.TelegraphTags{}).Where("telegraph_id=? and tag_id=?", telegraph.ID, tag.ID).FirstOrCreate(&models.TelegraphTags{
+						TelegraphId: telegraph.ID,
+						TagId:       tag.ID,
+					})
+				}
+			}
+		}
+	}
+}
+
+func GetSource(tags []string) string {
+	if slice.ContainAny(tags, []string{"外媒简讯", "外媒资讯", "外媒"}) {
+		return "外媒"
+	}
+	if slices.Contains(tags, "财联社电报") {
+		return "财联社电报"
+	}
+	if slices.Contains(tags, "新浪财经") {
+		return "新浪财经"
+	}
+	return ""
+}
+
 // domReady is called after front-end resources have been loaded
 func (a *App) domReady(ctx context.Context) {
 	defer PanicHandler()
@@ -418,6 +656,10 @@ func (a *App) domReady(ctx context.Context) {
 		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 {
@@ -686,7 +928,7 @@ 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 := ""
@@ -1051,12 +1293,12 @@ 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)
@@ -1386,12 +1628,12 @@ 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

@@ -4,7 +4,6 @@ import (
 	"go-stock/backend/agent"
 	"go-stock/backend/data"
 	"go-stock/backend/models"
-	"strings"
 
 	"github.com/wailsapp/wails/v2/pkg/runtime"
 )
@@ -32,7 +31,7 @@ func (a *App) EMDictCode(code string) []any {
 	return data.NewMarketNewsApi().EMDictCode(code, a.cache)
 }
 
-func (a *App) AnalyzeSentiment(text string) data.SentimentResult {
+func (a *App) AnalyzeSentiment(text string) models.SentimentResult {
 	return data.AnalyzeSentiment(text)
 }
 
@@ -75,19 +74,39 @@ func (a *App) ChatWithAgent(question string, aiConfigId int, sysPromptId *int) {
 }
 
 func (a *App) AnalyzeSentimentWithFreqWeight(text string) map[string]any {
-	if text == "" {
-		telegraphs := data.NewMarketNewsApi().GetNews24HoursList("", 1000*10)
-		messageText := strings.Builder{}
-		for _, telegraph := range *telegraphs {
-			messageText.WriteString(telegraph.Content + "\n")
-		}
-		text = messageText.String()
-	}
-	result, frequencies := data.AnalyzeSentimentWithFreqWeight(text)
-	// 过滤标点符号和分隔符
-	cleanFrequencies := data.FilterAndSortWords(frequencies)
+	result, cleanFrequencies := data.NewsAnalyze(text, false)
 	return map[string]any{
 		"result":      result,
 		"frequencies": cleanFrequencies,
 	}
 }
+
+func (a *App) GetAIResponseResultList(query models.AIResponseResultQuery) *models.AIResponseResultPageData {
+	page, err := data.NewAIResponseResultService().GetAIResponseResultList(query)
+	if err != nil {
+		return &models.AIResponseResultPageData{}
+	}
+	return page
+}
+func (a *App) DeleteAIResponseResult(id string) string {
+	err := data.NewAIResponseResultService().DeleteAIResponseResult(id)
+	if err != nil {
+		return "删除失败"
+	}
+	return "删除成功"
+}
+func (a *App) BatchDeleteAIResponseResult(ids []uint) string {
+	err := data.NewAIResponseResultService().BatchDeleteAIResponseResult(ids)
+	if err != nil {
+		return "删除失败"
+	}
+	return "删除成功"
+}
+
+func (a *App) GetAiRecommendStocksList(query models.AiRecommendStocksQuery) *models.AiRecommendStocksPageData {
+	page, err := data.NewAiRecommendStocksService().GetAiRecommendStocksList(&query)
+	if err != nil {
+		return &models.AiRecommendStocksPageData{}
+	}
+	return page
+}

app_test.go

@@ -62,3 +62,13 @@ func TestUpdateCheck(t *testing.T) {
 	}
 	logger.SugaredLogger.Infof("releaseVersion:%+v", releaseVersion)
 }
+
+func TestGetScreenResolution(t *testing.T) {
+	x, y, w, h, err := getScreenResolution()
+	if err != nil {
+		logger.SugaredLogger.Errorf("get screen resolution error:%s", err.Error())
+		return
+	}
+	logger.SugaredLogger.Infof("x:%d,y:%d,w:%d,h:%d", x, y, w, h)
+
+}

app_windows.go

@@ -6,16 +6,17 @@ package main
 import (
 	"context"
 	"fmt"
+	"go-stock/backend/data"
+	"go-stock/backend/db"
+	"go-stock/backend/logger"
+	"time"
+
 	"github.com/duke-git/lancet/v2/convertor"
 	"github.com/duke-git/lancet/v2/strutil"
 	"github.com/energye/systray"
 	"github.com/go-toast/toast"
 	"github.com/wailsapp/wails/v2/pkg/options"
 	"github.com/wailsapp/wails/v2/pkg/runtime"
-	"go-stock/backend/data"
-	"go-stock/backend/db"
-	"go-stock/backend/logger"
-	"time"
 )
 
 // startup is called at application startup
@@ -209,6 +210,7 @@ func getScreenResolution() (int, int, int, int, error) {
 	//
 	//width, _, _ := getSystemMetrics.Call(0)
 	//height, _, _ := getSystemMetrics.Call(1)
+	//return int(width), int(height), 1456, 768, nil
 
 	return int(1366), int(768), 1456, 768, nil
 }

backend/agent/agent_test.go

@@ -14,6 +14,7 @@ import (
 	"github.com/cloudwego/eino/compose"
 	"github.com/cloudwego/eino/flow/agent"
 	"github.com/cloudwego/eino/schema"
+	"github.com/duke-git/lancet/v2/fileutil"
 )
 
 // @Author spark
@@ -61,7 +62,7 @@ func TestGetStockAiAgent(t *testing.T) {
 			logger.SugaredLogger.Errorf("failed to recv: %v", err)
 			return
 		}
-		//logger.SugaredLogger.Infof("stream recv: %v", msg)
+		logger.SugaredLogger.Infof("stream recv: %v", msg)
 		if msg.ReasoningContent != "" {
 			md.WriteString(msg.ReasoningContent)
 		}
@@ -76,9 +77,12 @@ func TestGetStockAiAgent(t *testing.T) {
 func TestAgent(t *testing.T) {
 	db.Init("../../data/stock.db")
 
-	ch := NewStockAiAgentApi().Chat("分析一下海立股份，使用工具", 1, nil)
+	md := strings.Builder{}
+	ch := NewStockAiAgentApi().Chat("分析一下立讯精密", 0, nil)
 	for message := range ch {
 		logger.SugaredLogger.Infof("res:%s", message.String())
+		md.WriteString(message.String())
 	}
-
+	logger.SugaredLogger.Info(md.String())
+	fileutil.WriteStringToFile("../../data/result.md", md.String(), false)
 }

backend/data/ai_recommend_stocks_api.go

@@ -0,0 +1,117 @@
+// Package data ai_recommend_stocks_api.go
+package data
+
+import (
+	"go-stock/backend/db"
+	"go-stock/backend/models"
+
+	"github.com/duke-git/lancet/v2/strutil"
+)
+
+type AiRecommendStocksService struct{}
+
+func NewAiRecommendStocksService() *AiRecommendStocksService {
+	return &AiRecommendStocksService{}
+}
+
+// CreateAiRecommendStocks 创建AI推荐股票记录
+func (s *AiRecommendStocksService) CreateAiRecommendStocks(recommend *models.AiRecommendStocks) error {
+	result := db.Dao.Create(recommend)
+	return result.Error
+}
+
+// GetAiRecommendStocksList 分页查询AI推荐股票记录
+func (s *AiRecommendStocksService) GetAiRecommendStocksList(query *models.AiRecommendStocksQuery) (*models.AiRecommendStocksPageData, error) {
+	var list []models.AiRecommendStocks
+	var total int64
+
+	q := db.Dao.Model(&models.AiRecommendStocks{})
+
+	// 构建查询条件
+	if query.StockCode != "" {
+		q.Or("stock_code LIKE ?", "%"+query.StockCode+"%")
+	}
+	if query.StockName != "" {
+		q.Or("stock_name LIKE ?", "%"+query.StockName+"%")
+	}
+	if query.BkCode != "" {
+		q.Or("bk_code LIKE ?", "%"+query.BkCode+"%")
+	}
+	if query.BkName != "" {
+		q.Or("bk_name LIKE ?", "%"+query.BkName+"%")
+	}
+	if query.StartDate != "" && query.EndDate != "" {
+		query.StartDate = strutil.ReplaceWithMap(query.StartDate, map[string]string{
+			"T": " ",
+			"Z": "",
+		})
+		query.StartDate = strutil.ReplaceWithMap(query.StartDate, map[string]string{
+			"T": " ",
+			"Z": "",
+		})
+		q = q.Where("data_time BETWEEN ? AND ?", query.StartDate, query.EndDate)
+	}
+
+	// 计算总数
+	err := q.Count(&total).Error
+	if err != nil {
+		return nil, err
+	}
+
+	// 设置默认分页参数
+	page := query.Page
+	pageSize := query.PageSize
+	if page <= 0 {
+		page = 1
+	}
+	if pageSize <= 0 || pageSize > 100 {
+		pageSize = 10
+	}
+
+	// 执行分页查询
+	offset := (page - 1) * pageSize
+	err = q.Offset(offset).Limit(pageSize).Order("created_at DESC").Find(&list).Error
+	if err != nil {
+		return nil, err
+	}
+
+	totalPages := int((total + int64(pageSize) - 1) / int64(pageSize))
+
+	return &models.AiRecommendStocksPageData{
+		List:       list,
+		Total:      total,
+		Page:       page,
+		PageSize:   pageSize,
+		TotalPages: totalPages,
+	}, nil
+}
+
+// GetAiRecommendStocksByID 根据ID获取AI推荐股票记录
+func (s *AiRecommendStocksService) GetAiRecommendStocksByID(id uint) (*models.AiRecommendStocks, error) {
+	var recommend models.AiRecommendStocks
+	err := db.Dao.First(&recommend, id).Error
+	if err != nil {
+		return nil, err
+	}
+	return &recommend, nil
+}
+
+// UpdateAiRecommendStocks 更新AI推荐股票记录
+func (s *AiRecommendStocksService) UpdateAiRecommendStocks(id uint, recommend *models.AiRecommendStocks) error {
+	result := db.Dao.Model(&models.AiRecommendStocks{}).Where("id = ?", id).Updates(recommend)
+	return result.Error
+}
+
+// DeleteAiRecommendStocks 根据ID删除AI推荐股票记录
+func (s *AiRecommendStocksService) DeleteAiRecommendStocks(id uint) error {
+	// 使用软删除
+	result := db.Dao.Where("id = ?", id).Delete(&models.AiRecommendStocks{})
+	return result.Error
+}
+
+// BatchDeleteAiRecommendStocks 批量删除AI推荐股票记录
+func (s *AiRecommendStocksService) BatchDeleteAiRecommendStocks(ids []uint) error {
+	// 使用软删除
+	result := db.Dao.Where("id IN ?", ids).Delete(&models.AiRecommendStocks{})
+	return result.Error
+}

backend/data/ai_response_result_api.go

@@ -0,0 +1,97 @@
+package data
+
+import (
+	"go-stock/backend/db"
+	"go-stock/backend/models"
+
+	"github.com/duke-git/lancet/v2/strutil"
+)
+
+type AIResponseResultService struct{}
+
+func NewAIResponseResultService() *AIResponseResultService {
+	return &AIResponseResultService{}
+}
+
+// GetAIResponseResultList 分页查询AI响应结果
+func (s *AIResponseResultService) GetAIResponseResultList(query models.AIResponseResultQuery) (*models.AIResponseResultPageData, error) {
+	var list []models.AIResponseResult
+	var total int64
+
+	q := db.Dao.Model(&models.AIResponseResult{})
+
+	// 构建查询条件
+	if query.ChatId != "" {
+		q.Where("chat_id LIKE ?", "%"+query.ChatId+"%")
+	}
+	if query.ModelName != "" {
+		q.Or("model_name LIKE ?", "%"+query.ModelName+"%")
+	}
+	if query.StockCode != "" {
+		q.Or("stock_code LIKE ?", "%"+query.StockCode+"%")
+	}
+	if query.Question != "" {
+		q.Or("question LIKE ?", "%"+query.Question+"%")
+	}
+	if query.StartDate != "" && query.EndDate != "" {
+		query.StartDate = strutil.ReplaceWithMap(query.StartDate, map[string]string{
+			"T": " ",
+			"Z": "",
+		})
+		query.StartDate = strutil.ReplaceWithMap(query.StartDate, map[string]string{
+			"T": " ",
+			"Z": "",
+		})
+		q = q.Where("created_at BETWEEN ? AND ?", query.StartDate, query.EndDate)
+	}
+
+	// 计算总数
+	err := q.Count(&total).Error
+	if err != nil {
+		return nil, err
+	}
+
+	// 设置默认分页参数
+	page := query.Page
+	pageSize := query.PageSize
+	if page <= 0 {
+		page = 1
+	}
+	if pageSize <= 0 || pageSize > 100 {
+		pageSize = 10
+	}
+
+	// 执行分页查询
+	offset := (page - 1) * pageSize
+	err = q.Offset(offset).Limit(pageSize).Order("created_at DESC").Find(&list).Error
+	if err != nil {
+		return nil, err
+	}
+
+	totalPages := int((total + int64(pageSize) - 1) / int64(pageSize))
+
+	return &models.AIResponseResultPageData{
+		List:       list,
+		Total:      total,
+		Page:       page,
+		PageSize:   pageSize,
+		TotalPages: totalPages,
+	}, nil
+}
+
+// DeleteAIResponseResult 根据ID删除AI响应结果
+func (s *AIResponseResultService) DeleteAIResponseResult(id string) error {
+
+	// 使用软删除
+	result := db.Dao.Where("id = ?", id).Delete(&models.AIResponseResult{})
+
+	return result.Error
+}
+
+// BatchDeleteAIResponseResult 批量删除AI响应结果
+func (s *AIResponseResultService) BatchDeleteAIResponseResult(ids []uint) error {
+	// 使用软删除
+	result := db.Dao.Where("id IN ?", ids).Delete(&models.AIResponseResult{})
+
+	return result.Error
+}

backend/data/ai_response_result_api_test.go

@@ -0,0 +1,26 @@
+package data
+
+import (
+	"go-stock/backend/db"
+	"go-stock/backend/models"
+	"testing"
+)
+
+// @Author spark
+// @Date 2026/1/23 17:39
+// @Desc
+//-----------------------------------------------------------------------------------
+
+func TestAIResponseResultService_GetAIResponseResultList(t *testing.T) {
+	db.Init("../../data/stock.db")
+	service := NewAIResponseResultService()
+	list, err := service.GetAIResponseResultList(models.AIResponseResultQuery{
+		Page:     1,
+		PageSize: 10,
+	})
+	if err != nil {
+		return
+	}
+	t.Log(list)
+
+}

backend/data/market_news_api.go

@@ -55,7 +55,6 @@ func (m MarketNewsApi) TelegraphList(crawlTimeOut int64) *[]models.Telegraph {
 			news := v.(map[string]any)
 			ctime, _ := convertor.ToInt(news["ctime"])
 			dataTime := time.Unix(ctime, 0).Local()
-			logger.SugaredLogger.Debugf("dataTime: %s", dataTime)
 			telegraph := models.Telegraph{
 				Title:           news["title"].(string),
 				Content:         news["content"].(string),
@@ -67,7 +66,11 @@ func (m MarketNewsApi) TelegraphList(crawlTimeOut int64) *[]models.Telegraph {
 				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
 			}
@@ -225,6 +228,29 @@ func (m MarketNewsApi) GetTelegraphList(source string) *[]*models.Telegraph {
 	}
 	return news
 }
+func (m MarketNewsApi) GetTelegraphListWithPaging(source string, page, pageSize int) *[]*models.Telegraph {
+	// 计算偏移量
+	offset := (page - 1) * pageSize
+
+	news := &[]*models.Telegraph{}
+	if source != "" {
+		db.Dao.Model(news).Preload("TelegraphTags").Where("source=?", source).Order("data_time desc,time desc").Limit(pageSize).Offset(offset).Find(news)
+	} else {
+		db.Dao.Model(news).Preload("TelegraphTags").Order("data_time desc,time desc").Limit(pageSize).Offset(offset).Find(news)
+	}
+	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)
+	}
+	return news
+}
 
 func (m MarketNewsApi) GetSinaNews(crawlTimeOut uint) *[]models.Telegraph {
 	news := &[]models.Telegraph{}
@@ -290,7 +316,11 @@ 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("content=? and source=?", telegraph.Content, 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)
@@ -703,7 +733,11 @@ func (m MarketNewsApi) TradingViewNews() *[]models.Telegraph {
 			SentimentResult: sentimentResult,
 		}
 		cnt := int64(0)
-		db.Dao.Model(telegraph).Where("time=? and title=? and source=?", telegraph.Time, telegraph.Title, "外媒").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
 		}

backend/data/market_news_api_test.go

@@ -92,12 +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))
 	}
 }
 
@@ -141,6 +142,8 @@ func TestXUEQIUHotStock(t *testing.T) {
 		logger.SugaredLogger.Debugf("value: %+v", a)
 	}
 
+	md := util.MarkdownTableWithTitle("当前热门股票排名", res)
+	logger.SugaredLogger.Debugf(md)
 }
 
 func TestHotEvent(t *testing.T) {
@@ -234,7 +237,7 @@ func TestReutersNew(t *testing.T) {
 
 func TestInteractiveAnswer(t *testing.T) {
 	db.Init("../../data/stock.db")
-	datas := NewMarketNewsApi().InteractiveAnswer(1, 100, "")
+	datas := NewMarketNewsApi().InteractiveAnswer(1, 100, "立讯精密")
 	logger.SugaredLogger.Debugf("PageSize:%d", datas.PageSize)
 	md := util.MarkdownTableWithTitle("投资互动", datas.Results)
 	logger.SugaredLogger.Debugf(md)

backend/data/openai_api_test.go

@@ -17,7 +17,7 @@ func TestNewDeepSeekOpenAiConfig(t *testing.T) {
 		Function: 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",
-			Parameters: FunctionParameters{
+			Parameters: &FunctionParameters{
 				Type: "object",
 				Properties: map[string]any{
 					"words": map[string]any{
@@ -30,9 +30,9 @@ func TestNewDeepSeekOpenAiConfig(t *testing.T) {
 		},
 	})
 
-	ai := NewDeepSeekOpenAi(context.TODO(), 0)
+	ai := NewDeepSeekOpenAi(context.TODO(), 11)
 	//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)
+	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, false)
 
 	for {
 		select {
@@ -65,6 +65,6 @@ func TestSearchGuShiTongStockInfo(t *testing.T) {
 
 func TestGetZSInfo(t *testing.T) {
 	db.Init("../../data/stock.db")
-	GetZSInfo("中证银行", "sz399986", 30)
-	GetZSInfo("上海贝岭", "sh600171", 30)
+	GetZSInfo("中证银行", "sz399986", 5)
+	GetZSInfo("上海贝岭", "sh600171", 5)
 }

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"
 )
 
@@ -81,3 +84,35 @@ 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
+}
+
+func (s SearchStockApi) StrategySquare() map[string]any {
+	//https://backtest.10jqka.com.cn/strategysquare/list?order=desc&page=1&pageNum=10&sortType=hot&keyword=
+	url := "https://backtest.10jqka.com.cn/strategysquare/list?order=desc&page=1&pageNum=10&sortType=hot&keyword="
+	resp, err := resty.New().SetTimeout(time.Duration(30)*time.Second).R().
+		SetHeader("Host", "backtest.10jqka.com.cn").
+		SetHeader("Origin", "https://backtest.10jqka.com.cn").
+		SetHeader("Referer", "https://backtest.10jqka.com.cn/strategysquare/list").
+		SetHeader("User-Agent", "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:140.0) Gecko/20100101 Firefox/140.0").
+		Get(url)
+	if err != nil {
+		logger.SugaredLogger.Errorf("StrategySquare-err:%+v", err)
+		return map[string]any{}
+	}
+	respMap := map[string]any{}
+	json.Unmarshal(resp.Body(), &respMap)
+	logger.SugaredLogger.Infof("resp:%+v", respMap["data"])
+	return respMap
+}

backend/data/search_stock_api_test.go

@@ -4,10 +4,13 @@ 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"
 )
 
@@ -60,10 +63,25 @@ 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)
+	//}
+}
+func TestSearchStockApi_HotStrategyTable(t *testing.T) {
+	db.Init("../../data/stock.db")
+	res := NewSearchStockApi("").StrategySquare()
+	logger.SugaredLogger.Infof("res:%+v", res)
 }

backend/data/settings_api.go

@@ -45,16 +45,18 @@ func (receiver Settings) TableName() string {
 }
 
 type AIConfig struct {
-	ID          uint `gorm:"primarykey"`
-	CreatedAt   time.Time
-	UpdatedAt   time.Time
-	Name        string  `json:"name"`
-	BaseUrl     string  `json:"baseUrl"`
-	ApiKey      string  `json:"apiKey" `
-	ModelName   string  `json:"modelName"`
-	MaxTokens   int     `json:"maxTokens"`
-	Temperature float64 `json:"temperature"`
-	TimeOut     int     `json:"timeOut"`
+	ID               uint `gorm:"primarykey"`
+	CreatedAt        time.Time
+	UpdatedAt        time.Time
+	Name             string  `json:"name"`
+	BaseUrl          string  `json:"baseUrl"`
+	ApiKey           string  `json:"apiKey" `
+	ModelName        string  `json:"modelName"`
+	MaxTokens        int     `json:"maxTokens"`
+	Temperature      float64 `json:"temperature"`
+	TimeOut          int     `json:"timeOut"`
+	HttpProxy        string  `json:"httpProxy"`
+	HttpProxyEnabled bool    `json:"httpProxyEnabled"`
 }
 
 func (AIConfig) TableName() string {
@@ -163,13 +165,15 @@ func updateAiConfigs(aiConfigs []*AIConfig) error {
 		} else {
 			notDeleteIds = append(notDeleteIds, item.ID)
 			e = db.Dao.Model(&AIConfig{}).Where("id=?", item.ID).Updates(map[string]interface{}{
-				"name":        item.Name,
-				"base_url":    item.BaseUrl,
-				"api_key":     item.ApiKey,
-				"model_name":  item.ModelName,
-				"max_tokens":  item.MaxTokens,
-				"temperature": item.Temperature,
-				"time_out":    item.TimeOut,
+				"name":               item.Name,
+				"base_url":           item.BaseUrl,
+				"api_key":            item.ApiKey,
+				"model_name":         item.ModelName,
+				"max_tokens":         item.MaxTokens,
+				"temperature":        item.Temperature,
+				"time_out":           item.TimeOut,
+				"http_proxy":         item.HttpProxy,
+				"http_proxy_enabled": item.HttpProxyEnabled,
 			}).Error
 			if e != nil {
 				return
@@ -198,12 +202,6 @@ func GetSettingConfig() *SettingConfig {
 	aiConfigs := make([]*AIConfig, 0)
 	// 处理数据库查询可能返回的空结果
 	result := db.Dao.Model(&Settings{}).First(settings)
-	if errors.Is(result.Error, gorm.ErrRecordNotFound) {
-		// 初始化默认设置并保存到数据库
-		settings = &Settings{OpenAiEnable: false, CrawlTimeOut: 60}
-		db.Dao.Create(settings)
-	}
-
 	if settings.OpenAiEnable {
 		// 处理AI配置查询可能出现的错误
 		result = db.Dao.Model(&AIConfig{}).Find(&aiConfigs)
@@ -220,7 +218,7 @@ func GetSettingConfig() *SettingConfig {
 			settings.CrawlTimeOut = 60
 		}
 		if settings.KDays < 30 {
-			settings.KDays = 120
+			settings.KDays = 60
 		}
 	}
 	if settings.BrowserPath == "" {

backend/data/stock_data_api.go

@@ -14,6 +14,7 @@ import (
 	"go-stock/backend/models"
 	"io"
 	"io/ioutil"
+	url2 "net/url"
 	"strings"
 	"time"
 
@@ -1203,7 +1204,7 @@ func GetZSInfo(name, stockCode string, crawlTimeOut int64) string {
 	price := strutil.RemoveWhiteSpace(document.Find("div#price").First().Text(), false)
 	hqTime := strutil.RemoveWhiteSpace(document.Find("div#hqTime").First().Text(), false)
 
-	if strutil.ContainsAny(price, []string{"-", "--", ""}) {
+	if strutil.ContainsAny(price, []string{"-", "--"}) {
 		return "暂无数据"
 	}
 
@@ -1750,6 +1751,65 @@ func (receiver StockDataApi) GetStockHistoryMoneyData() {
 
 }
 
+// GetStockMoneyData 获取个股资金流数据
+func (receiver StockDataApi) GetStockMoneyData() models.StockMoneyDataResp {
+	var resData models.StockMoneyDataResp
+	url := "https://push2.eastmoney.com/api/qt/clist/get?cb=data&fid=f62&po=1&pz=50&pn=1&np=1&fltt=2&invt=2&ut=8dec03ba335b81bf4ebdf7b29ec27d15&fs=m:0+t:6+f:!2,m:0+t:13+f:!2,m:0+t:80+f:!2,m:1+t:2+f:!2,m:1+t:23+f:!2,m:0+t:7+f:!2,m:1+t:3+f:!2&fields=f12,f14,f2,f3,f62,f184,f66,f69,f72,f75,f78,f81,f84,f87,f204,f205,f124,f1,f13,f100,f265"
+	resp, err := receiver.client.SetTimeout(time.Duration(receiver.config.CrawlTimeOut)*time.Second).R().
+		SetHeader("Host", "push2.eastmoney.com").
+		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").
+		Get(url)
+	if err != nil {
+		logger.SugaredLogger.Errorf("err:%s", err.Error())
+	}
+	body := string(resp.Body())
+	logger.SugaredLogger.Infof("resp:%s", body)
+	vm := otto.New()
+	vm.Run("function data(res){return res};")
+	val, err := vm.Run(body)
+	if err != nil {
+		logger.SugaredLogger.Errorf("err:%s", err.Error())
+	}
+	value, err := val.Export()
+	if err != nil {
+		logger.SugaredLogger.Errorf("err:%s", err.Error())
+	}
+	marshal, err := json.Marshal(value)
+	if err != nil {
+		logger.SugaredLogger.Errorf("err:%s", err.Error())
+		return models.StockMoneyDataResp{}
+	}
+	err = json.Unmarshal(marshal, &resData)
+	if err != nil {
+		logger.SugaredLogger.Errorf("err:%s", err.Error())
+		return models.StockMoneyDataResp{}
+	}
+	return resData
+}
+
+// 获取股票概念题材信息
+func (receiver StockDataApi) GetStockConceptInfo(stockCode string) models.StockConceptInfoResp {
+	//601138.SH
+	url := "https://datacenter.eastmoney.com/securities/api/data/v1/get?reportName=RPT_F10_CORETHEME_BOARDTYPE&columns=SECUCODE%2CSECURITY_CODE%2CSECURITY_NAME_ABBR%2CNEW_BOARD_CODE%2CBOARD_NAME%2CSELECTED_BOARD_REASON%2CIS_PRECISE%2CBOARD_RANK%2CBOARD_YIELD%2CDERIVE_BOARD_CODE&quoteColumns=f3~05~NEW_BOARD_CODE~BOARD_YIELD&filter=(SECUCODE%3D%22" + stockCode + "%22)(IS_PRECISE%3D%221%22)&pageNumber=1&pageSize=&sortTypes=1&sortColumns=BOARD_RANK&source=HSF10&client=PC&v=005634233622011753"
+	logger.SugaredLogger.Infof("url:%s", url2.QueryEscape(url))
+	var data models.StockConceptInfoResp
+	resp, err := receiver.client.SetTimeout(time.Duration(receiver.config.CrawlTimeOut)*time.Second).R().
+		SetHeader("Host", "datacenter.eastmoney.com").
+		SetHeader("Referer", "https://emweb.securities.eastmoney.com/").
+		SetHeader("Origin", "https://emweb.securities.eastmoney.com").
+		SetHeader("User-Agent", "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:148.0) Gecko/20100101 Firefox/148.0").
+		Get(url)
+	if err != nil {
+		logger.SugaredLogger.Errorf("err:%s", err.Error())
+	}
+	err = json.Unmarshal(resp.Body(), &data)
+	if err != nil {
+		logger.SugaredLogger.Errorf("err:%s", err.Error())
+		return models.StockConceptInfoResp{}
+	}
+	return data
+}
+
 // JSONToMarkdownTable 将JSON数据转换为Markdown表格
 func JSONToMarkdownTable(jsonData []byte) (string, error) {
 	var data []map[string]interface{}

backend/data/stock_data_api_test.go

@@ -283,3 +283,17 @@ func TestName(t *testing.T) {
 	//}
 
 }
+func TestGetStockMoneyData(t *testing.T) {
+	db.Init("../../data/stock.db")
+	stockDataApi := NewStockDataApi()
+	res := stockDataApi.GetStockMoneyData()
+	logger.SugaredLogger.Infof("%s", util.MarkdownTableWithTitle("今日个股资金流向Top50", res.Data.Diff))
+}
+
+func TestGetStockConceptInfo(t *testing.T) {
+	db.Init("../../data/stock.db")
+	stockDataApi := NewStockDataApi()
+	res := stockDataApi.GetStockConceptInfo("601138.SH")
+	logger.SugaredLogger.Infof("%s", util.MarkdownTableWithTitle("601138.SH所属概念/板块信息", res.Result.Data))
+
+}

backend/data/stock_sentiment_analysis.go

@@ -199,14 +199,6 @@ func InitAnalyzeSentiment() {
 	seg.CalcToken()
 }
 
-// WordFreqWithWeight 词频统计结果，包含权重信息
-type WordFreqWithWeight struct {
-	Word      string
-	Frequency int
-	Weight    float64
-	Score     float64
-}
-
 // getWordWeight 获取词汇权重
 func getWordWeight(word string) float64 {
 	// 从分词器获取词汇权重
@@ -220,9 +212,9 @@ func getWordWeight(word string) float64 {
 }
 
 // SortByWeightAndFrequency 按权重和频次排序词频结果
-func SortByWeightAndFrequency(frequencies map[string]WordFreqWithWeight) []WordFreqWithWeight {
+func SortByWeightAndFrequency(frequencies map[string]models.WordFreqWithWeight) []models.WordFreqWithWeight {
 	// 将map转换为slice以便排序
-	freqSlice := make([]WordFreqWithWeight, 0, len(frequencies))
+	freqSlice := make([]models.WordFreqWithWeight, 0, len(frequencies))
 	for _, freq := range frequencies {
 		freqSlice = append(freqSlice, freq)
 	}
@@ -237,7 +229,7 @@ func SortByWeightAndFrequency(frequencies map[string]WordFreqWithWeight) []WordF
 }
 
 // FilterAndSortWords 过滤标点符号并按权重频次排序
-func FilterAndSortWords(frequencies map[string]WordFreqWithWeight) []WordFreqWithWeight {
+func FilterAndSortWords(frequencies map[string]models.WordFreqWithWeight) []models.WordFreqWithWeight {
 	// 先过滤标点符号和分隔符
 	cleanFrequencies := FilterPunctuationAndSeparators(frequencies)
 
@@ -246,8 +238,8 @@ func FilterAndSortWords(frequencies map[string]WordFreqWithWeight) []WordFreqWit
 
 	return sortedFrequencies
 }
-func FilterPunctuationAndSeparators(frequencies map[string]WordFreqWithWeight) map[string]WordFreqWithWeight {
-	filteredWords := make(map[string]WordFreqWithWeight)
+func FilterPunctuationAndSeparators(frequencies map[string]models.WordFreqWithWeight) map[string]models.WordFreqWithWeight {
+	filteredWords := make(map[string]models.WordFreqWithWeight)
 
 	for word, freqInfo := range frequencies {
 		// 过滤纯标点符号和分隔符
@@ -275,8 +267,8 @@ func isPunctuationOrSeparator(word string) bool {
 }
 
 // FilterWithRegex 使用正则表达式过滤标点和特殊字符
-func FilterWithRegex(frequencies map[string]WordFreqWithWeight) map[string]WordFreqWithWeight {
-	filteredWords := make(map[string]WordFreqWithWeight)
+func FilterWithRegex(frequencies map[string]models.WordFreqWithWeight) map[string]models.WordFreqWithWeight {
+	filteredWords := make(map[string]models.WordFreqWithWeight)
 
 	// 匹配标点符号、特殊字符的正则表达式
 	punctuationRegex := regexp.MustCompile(`^[[:punct:][:space:]]+$`)
@@ -291,9 +283,9 @@ func FilterWithRegex(frequencies map[string]WordFreqWithWeight) map[string]WordF
 }
 
 // countWordFrequencyWithWeight 统计词频并包含权重信息
-func countWordFrequencyWithWeight(text string) map[string]WordFreqWithWeight {
+func countWordFrequencyWithWeight(text string) map[string]models.WordFreqWithWeight {
 	words := splitWords(text)
-	freqMap := make(map[string]WordFreqWithWeight)
+	freqMap := make(map[string]models.WordFreqWithWeight)
 
 	// 统计词频
 	wordCount := make(map[string]int)
@@ -305,7 +297,7 @@ func countWordFrequencyWithWeight(text string) map[string]WordFreqWithWeight {
 	for word, frequency := range wordCount {
 		weight := getWordWeight(word)
 		if weight >= basefreq {
-			freqMap[word] = WordFreqWithWeight{
+			freqMap[word] = models.WordFreqWithWeight{
 				Word:      word,
 				Frequency: frequency,
 				Weight:    weight,
@@ -319,7 +311,7 @@ func countWordFrequencyWithWeight(text string) map[string]WordFreqWithWeight {
 }
 
 // AnalyzeSentimentWithFreqWeight 带权重词频统计的情感分析
-func AnalyzeSentimentWithFreqWeight(text string) (SentimentResult, map[string]WordFreqWithWeight) {
+func AnalyzeSentimentWithFreqWeight(text string) (models.SentimentResult, map[string]models.WordFreqWithWeight) {
 	// 原有情感分析逻辑
 	result := AnalyzeSentiment(text)
 
@@ -329,26 +321,14 @@ func AnalyzeSentimentWithFreqWeight(text string) (SentimentResult, map[string]Wo
 	return result, frequencies
 }
 
-// SentimentResult 情感分析结果类型
-type SentimentResult struct {
-	Score         float64       // 情感得分
-	Category      SentimentType // 情感类别
-	PositiveCount int           // 正面词数量
-	NegativeCount int           // 负面词数量
-	Description   string        // 情感描述
-}
-
-// SentimentType 情感类型枚举
-type SentimentType int
-
 const (
-	Positive SentimentType = iota
+	Positive models.SentimentType = iota
 	Negative
 	Neutral
 )
 
 // AnalyzeSentiment 判断文本的情感
-func AnalyzeSentiment(text string) SentimentResult {
+func AnalyzeSentiment(text string) models.SentimentResult {
 	// 初始化得分
 	score := 0.0
 	positiveCount := 0
@@ -388,7 +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
@@ -398,7 +378,7 @@ func AnalyzeSentiment(text string) SentimentResult {
 		category = Neutral
 	}
 
-	return SentimentResult{
+	return models.SentimentResult{
 		Score:         score,
 		Category:      category,
 		PositiveCount: positiveCount,
@@ -511,7 +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"
@@ -556,3 +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/models/models.go

@@ -149,6 +149,34 @@ func (receiver AIResponseResult) TableName() string {
 	return "ai_response_result"
 }
 
+// AIResponseResultQuery 分页查询参数
+type AIResponseResultQuery struct {
+	Page      int    `form:"page" json:"page"`           // 页码
+	PageSize  int    `form:"pageSize" json:"pageSize"`   // 每页大小
+	ChatId    string `form:"chatId" json:"chatId"`       // 聊天ID筛选
+	ModelName string `form:"modelName" json:"modelName"` // 模型名称筛选
+	StockCode string `form:"stockCode" json:"stockCode"` // 股票代码筛选
+	StockName string `form:"stockName" json:"stockName"` // 股票名称筛选
+	Question  string `form:"question" json:"question"`   // 问题内容模糊搜索
+	StartDate string `form:"startDate" json:"startDate"` // 开始日期
+	EndDate   string `form:"endDate" json:"endDate"`     // 结束日期
+}
+
+// AIResponseResultPageResp 分页查询响应
+type AIResponseResultPageResp struct {
+	Code    int                      `json:"code"`
+	Message string                   `json:"message"`
+	Data    AIResponseResultPageData `json:"data"`
+}
+
+type AIResponseResultPageData struct {
+	List       []AIResponseResult `json:"list"`
+	Total      int64              `json:"total"`
+	Page       int                `json:"page"`
+	PageSize   int                `json:"pageSize"`
+	TotalPages int                `json:"totalPages"`
+}
+
 type VersionInfo struct {
 	gorm.Model
 	Version           string                `json:"version"`
@@ -359,29 +387,29 @@ type XUEQIUHot struct {
 }
 
 type HotItem struct {
-	Type         int         `json:"type"`
-	Code         string      `json:"code"`
-	Name         string      `json:"name"`
-	Value        float64     `json:"value"`
-	Increment    int         `json:"increment"`
-	RankChange   int         `json:"rank_change"`
-	HasExist     interface{} `json:"has_exist"`
-	Symbol       string      `json:"symbol"`
-	Percent      float64     `json:"percent"`
-	Current      float64     `json:"current"`
-	Chg          float64     `json:"chg"`
-	Exchange     string      `json:"exchange"`
-	StockType    int         `json:"stock_type"`
-	SubType      string      `json:"sub_type"`
-	Ad           int         `json:"ad"`
-	AdId         interface{} `json:"ad_id"`
-	ContentId    interface{} `json:"content_id"`
-	Page         interface{} `json:"page"`
-	Model        interface{} `json:"model"`
-	Location     interface{} `json:"location"`
-	TradeSession interface{} `json:"trade_session"`
-	CurrentExt   interface{} `json:"current_ext"`
-	PercentExt   interface{} `json:"percent_ext"`
+	Type         int         `json:"type" md:"-"`
+	Code         string      `json:"code" md:"股票代码"`
+	Name         string      `json:"name" md:"股票名称"`
+	Value        float64     `json:"value" md:"热度"`
+	Increment    int         `json:"increment" md:"热度变化"`
+	RankChange   int         `json:"rank_change" md:"排名变化"`
+	HasExist     interface{} `json:"has_exist" md:"-"`
+	Symbol       string      `json:"symbol" md:"-"`
+	Percent      float64     `json:"percent" md:"涨跌幅(%)"`
+	Current      float64     `json:"current" md:"股价"`
+	Chg          float64     `json:"chg" md:"股价变化"`
+	Exchange     string      `json:"exchange" md:"交易所代码"`
+	StockType    int         `json:"stock_type" md:"-"`
+	SubType      string      `json:"sub_type" md:"-"`
+	Ad           int         `json:"ad" md:"-"`
+	AdId         interface{} `json:"ad_id" md:"-"`
+	ContentId    interface{} `json:"content_id" md:"-"`
+	Page         interface{} `json:"page" md:"-"`
+	Model        interface{} `json:"model" md:"-"`
+	Location     interface{} `json:"location" md:"-"`
+	TradeSession interface{} `json:"trade_session" md:"-"`
+	CurrentExt   interface{} `json:"current_ext" md:"-"`
+	PercentExt   interface{} `json:"percent_ext" md:"-"`
 }
 
 type HotEvent struct {
@@ -719,3 +747,206 @@ 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:"-"`
+}
+
+type NtfyNews struct {
+	Id      string   `json:"id"`
+	Time    int      `json:"time"`
+	Expires int      `json:"expires"`
+	Event   string   `json:"event"`
+	Topic   string   `json:"topic"`
+	Title   string   `json:"title"`
+	Message string   `json:"message"`
+	Tags    []string `json:"tags"`
+	Icon    string   `json:"icon"`
+}
+
+type THSHotStrategy struct {
+	Result struct {
+		Num  int `json:"num"`
+		List []struct {
+			Author struct {
+				Avatar   string `json:"avatar"`
+				UserName string `json:"userName"`
+				UserId   int    `json:"userId"`
+			} `json:"author"`
+			Property struct {
+				Id          int         `json:"id"`
+				Name        string      `json:"name"`
+				Query       string      `json:"query"`
+				Logic       string      `json:"logic"`
+				BuyPosition interface{} `json:"buyPosition"`
+				Ctime       string      `json:"ctime"`
+				Tags        []string    `json:"tags"`
+				WinRate     string      `json:"winRate"`
+				AnnualYield string      `json:"annualYield"`
+				Type        int         `json:"type"`
+			} `json:"property"`
+			Interaction struct {
+				CommentNum  int  `json:"commentNum"`
+				CollectNum  int  `json:"collectNum"`
+				IsCollected bool `json:"isCollected"`
+				IsSubscribe int  `json:"isSubscribe"`
+				IsPublish   int  `json:"isPublish"`
+				Pid         int  `json:"pid"`
+			} `json:"interaction"`
+		} `json:"list"`
+	} `json:"result"`
+}
+
+type StockMoneyDataResp struct {
+	Rc     int            `json:"rc"`
+	Rt     int            `json:"rt"`
+	Svr    int            `json:"svr"`
+	Lt     int            `json:"lt"`
+	Full   int            `json:"full"`
+	Dlmkts string         `json:"dlmkts"`
+	Data   StockMoneyData `json:"data"`
+}
+
+type StockMoneyData struct {
+	Total int                  `json:"total"`
+	Diff  []StockMoneyDataDiff `json:"diff"`
+}
+
+type StockMoneyDataDiff struct {
+	F1   int     `json:"f1" md:"-"`
+	F12  string  `json:"f12" md:"股票代码"`
+	F13  int     `json:"f13" md:"-"`
+	F14  string  `json:"f14" md:"股票名称"`
+	F2   float64 `json:"f2" md:"最新价"`
+	F3   float64 `json:"f3" md:"今日涨跌幅(%)"`
+	F62  float64 `json:"f62" md:"今日主力净额(元)"`
+	F184 float64 `json:"f184" md:"今日主力净占比(%)"`
+	F66  float64 `json:"f66" md:"今日超大单净额(元)"`
+	F69  float64 `json:"f69" md:"今日超大单净占比(%)"`
+	F72  float64 `json:"f72" md:"今日大单净额(元)"`
+	F75  float64 `json:"f75" md:"今日大单净占比(%)"`
+	F78  float64 `json:"f78" md:"今日中单净额(元)"`
+	F81  float64 `json:"f81" md:"今日中单净占比(%)"`
+	F84  float64 `json:"f84" md:"今日小单净额(元)"`
+	F87  float64 `json:"f87" md:"今日小单净占比(%)"`
+	F124 int     `json:"f124" md:"f124"`
+	F100 string  `json:"f100" md:"所属板块"`
+	F265 string  `json:"f265" md:"板块代码"`
+}
+
+type StockConceptInfoResp struct {
+	Version string                 `json:"version"`
+	Result  StockConceptInfoResult `json:"result"`
+	Success bool                   `json:"success"`
+	Message string                 `json:"message"`
+	Code    int                    `json:"code"`
+}
+
+type StockConceptInfoResult struct {
+	Pages int                `json:"pages"`
+	Data  []StockConceptInfo `json:"data"`
+	Count int                `json:"count"`
+}
+
+type StockConceptInfo struct {
+	SECUCODE            string  `json:"SECUCODE" md:"完整股票代码"`
+	SECURITYCODE        string  `json:"SECURITY_CODE" md:"股票代码"`
+	SECURITYNAMEABBR    string  `json:"SECURITY_NAME_ABBR" md:"股票名称"`
+	NEWBOARDCODE        string  `json:"NEW_BOARD_CODE" md:"板块/概念代码"`
+	BOARDNAME           string  `json:"BOARD_NAME" md:"板块/概念名称"`
+	SELECTEDBOARDREASON string  `json:"SELECTED_BOARD_REASON" md:"板块/概念描述"`
+	ISPRECISE           string  `json:"IS_PRECISE" md:"-"`
+	BOARDRANK           int     `json:"BOARD_RANK" md:"-"`
+	BOARDYIELD          float64 `json:"BOARD_YIELD" md:"板块/概念涨跌幅(%)"`
+	DERIVEBOARDCODE     string  `json:"DERIVE_BOARD_CODE" md:"-"`
+}
+
+type AiRecommendStocks struct {
+	gorm.Model
+	DataTime                 *time.Time `json:"dataTime" gorm:"index;autoCreateTime"`
+	ModelName                string     `json:"modelName" md:"模型名称"`
+	StockCode                string     `json:"stockCode" md:"股票代码"`
+	StockName                string     `json:"stockName" md:"股票名称"`
+	BkCode                   string     `json:"bkCode" md:"行业/板块代码"`
+	BkName                   string     `json:"bkName" md:"行业/板块名称"`
+	StockPrice               string     `json:"stockPrice" md:"推荐时股票价格"`
+	StockClosePrice          string     `json:"stockClosePrice" md:"推荐时股票收盘价格"`
+	StockPrePrice            string     `json:"stockPrePrice" md:"前一交易日股票价格"`
+	RecommendReason          string     `json:"recommendReason" md:"推荐理由/驱动因素/逻辑"`
+	RecommendBuyPrice        string     `json:"recommendBuyPrice" md:"ai建议买入价"`
+	RecommendStopProfitPrice string     `json:"recommendStopProfitPrice" md:"ai建议止盈价"`
+	RecommendStopLossPrice   string     `json:"recommendStopLossPrice" md:"ai建议止损价"`
+	RiskRemarks              string     `json:"riskRemarks" md:"风险提示"`
+	Remarks                  string     `json:"remarks" md:"备注"`
+}
+
+func (receiver AiRecommendStocks) TableName() string { return "ai_recommend_stocks" }
+
+type AiRecommendStocksQuery struct {
+	Page      int    `form:"page" json:"page"`           // 页码
+	PageSize  int    `form:"pageSize" json:"pageSize"`   // 每页大小
+	StockCode string `form:"stockCode" json:"stockCode"` // 股票代码筛选
+	StockName string `form:"stockName" json:"stockName"` // 股票名称筛选
+	BkCode    string `form:"bkCode" json:"bkCode"`       // 板块代码筛选
+	BkName    string `form:"bkName" json:"bkName"`       // 板块名称筛选
+	StartDate string `form:"startDate" json:"startDate"` // 开始日期
+	EndDate   string `form:"endDate" json:"endDate"`     // 结束日期
+}
+
+type AiRecommendStocksPageResp struct {
+	Code    int                       `json:"code"`
+	Message string                    `json:"message"`
+	Data    AiRecommendStocksPageData `json:"data"`
+}
+
+type AiRecommendStocksPageData struct {
+	List       []AiRecommendStocks `json:"list"`
+	Total      int64               `json:"total"`
+	Page       int                 `json:"page"`
+	PageSize   int                 `json:"pageSize"`
+	TotalPages int                 `json:"totalPages"`
+}

data/dict/user.txt

@@ -0,0 +1,193 @@
+# 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
+a股 -0.1 n
+港股 -0.1 n
+etf -0.1 n
+涨幅 -0.1 n
+交易所 -0.1 n
+证券 -0.1 n
+ai -0.1 n
+# 二、核心热点概念（700分，最高优先级）
+端侧AI 700 n
+AI应用 700 n
+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

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']
+    AiRecommendStocksList: typeof import('./src/components/aiRecommendStocksList.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']
@@ -27,6 +28,8 @@ declare module 'vue' {
     MoneyTrend: typeof import('./src/components/moneyTrend.vue')['default']
     NewsList: typeof import('./src/components/newsList.vue')['default']
     RankTable: typeof import('./src/components/rankTable.vue')['default']
+    ResearchIndex: typeof import('./src/components/researchIndex.vue')['default']
+    ResearchReport: typeof import('./src/components/researchReport.vue')['default']
     RouterLink: typeof import('vue-router')['RouterLink']
     RouterView: typeof import('vue-router')['RouterView']
     SelectStock: typeof import('./src/components/SelectStock.vue')['default']

frontend/src/App.vue

@@ -15,9 +15,9 @@ import {createDiscreteApi,darkTheme,lightTheme , NIcon, NText,NButton,dateZhCN,z
 import {
   AlarmOutline,
   AnalyticsOutline,
-  BarChartSharp, Bonfire, BonfireOutline, EaselSharp,
+  BarChartSharp, Bonfire, BonfireOutline, DiamondOutline, EaselSharp,
   ExpandOutline, Flag,
-  Flame, FlameSharp, InformationOutline,
+  Flame, FlameSharp, FlaskOutline, InformationOutline,
   LogoGithub,
   NewspaperOutline,
   NewspaperSharp, Notifications,
@@ -30,7 +30,7 @@ import {
 } from '@vicons/ionicons5'
 import {AnalyzeSentiment, GetConfig, GetGroupList,GetVersionInfo} from "../wailsjs/go/main/App";
 import {Dragon, Fire, FirefoxBrowser, Gripfire, Robot} from "@vicons/fa";
-import {ReportSearch} from "@vicons/tabler";
+import {ReportAnalytics, ReportMoney, ReportSearch} from "@vicons/tabler";
 import {LocalFireDepartmentRound} from "@vicons/material";
 import {BoxSearch20Regular, CommentNote20Filled} from "@vicons/fluent";
 import {FireFilled, FireOutlined, NotificationFilled, StockOutlined} from "@vicons/antd";
@@ -446,6 +446,77 @@ const menuOptions = ref([
     show:enableAgent.value,
     icon: renderIcon(Robot),
   },
+    {
+      label: () =>
+          h(
+              RouterLink,
+              {
+                to: {
+                  name: 'research',
+                  query: {
+                    name:"研究中心",
+                  },
+                },
+                onClick: () => {
+                  activeKey.value = 'research'
+                  setTimeout(() => {
+                    EventsEmit("changeResearchTab", {ID: 0, name: 'AI分析报告'})
+                  }, 100)
+                },
+              },
+              {default: () => '研究中心'}
+          ),
+      key: 'research',
+      icon: renderIcon(FlaskOutline),
+      children:[
+          {
+            label: () =>
+                h(
+                    RouterLink,
+                    {
+                      to: {
+                        name: 'research',
+                        query: {
+                          name:"AI分析报告",
+                        },
+                      },
+                      onClick: () => {
+                        activeKey.value = 'research'
+                        setTimeout(() => {
+                          EventsEmit("changeResearchTab", {ID: 0, name: 'AI分析报告'})
+                        }, 100)
+                      },
+                    },
+                    {default: () => 'AI分析报告'}
+                ),
+            key: 'research1',
+            icon: renderIcon(ReportAnalytics),
+          },
+        {
+          label: () =>
+              h(
+                  RouterLink,
+                  {
+                    to: {
+                      name: 'research',
+                      query: {
+                        name:"股票推荐记录",
+                      },
+                    },
+                    onClick: () => {
+                      activeKey.value = 'research'
+                      setTimeout(() => {
+                        EventsEmit("changeResearchTab", {ID: 1, name: '股票推荐记录'})
+                      }, 100)
+                    },
+                  },
+                  {default: () => '股票推荐记录'}
+              ),
+          key: 'research2',
+          icon: renderIcon(DiamondOutline),
+        }
+      ],
+    },
   {
     label: () =>
         h(

frontend/src/components/AnalyzeMartket.vue

@@ -75,7 +75,6 @@ function getIndex() {
 function  handleChart(){
   const formatUtil = echarts.format;
   AnalyzeSentimentWithFreqWeight("").then((res) => {
-    //console.log(res)
     const treemapchart = echarts.init(chartRef.value);
     const gaugeChart=echarts.init(gaugeChartRef.value);
     let data = res['frequencies'].map(item => ({

frontend/src/components/HotStockList.vue

@@ -59,7 +59,7 @@ function getMarketCode(item) {
             <template #trigger>
               <n-tag type="info"  :bordered="false">  {{item.name}} {{item.code}}</n-tag>
             </template>
-            <k-line-chart style="width: 800px" :code="getMarketCode(item)" :chart-height="500" :name="item.name" :k-days="20" :dark-theme="true"></k-line-chart>
+            <k-line-chart style="width: 800px" :code="getMarketCode(item)" :chart-height="500" :stockName="item.name" :k-days="20" :dark-theme="true"></k-line-chart>
           </n-popover>
         </n-text></n-td>
         <n-td><n-text :type="item.percent>0?'error':'success'">{{item.percent}}%</n-text></n-td>

frontend/src/components/KLineChart.vue

@@ -4,12 +4,12 @@ import {GetStockKLine} from "../../wailsjs/go/main/App";
 import * as echarts from "echarts";
 import {onMounted, ref} from "vue";
 import _ from "lodash";
-const { code,name,darkTheme,kDays ,chartHeight} = defineProps({
+const { code,stockName,darkTheme,kDays ,chartHeight} = defineProps({
   code: {
     type: String,
     default: ''
   },
-  name: {
+  stockName: {
     type: String,
     default: ''
   },
@@ -33,13 +33,15 @@ const downBorderColor = '';
 const kLineChartRef = ref(null);
 
 onMounted(() => {
-  handleKLine(code,name)
+  handleKLine(code,stockName)
 })
 
-function  handleKLine(code,name){
-  GetStockKLine(code,name,365).then(result => {
+function  handleKLine(code,stockName){
+  console.log("handleKLine",code,stockName)
+  const chart = echarts.init(kLineChartRef.value);
+  chart.showLoading()
+  GetStockKLine(code,stockName,365).then(result => {
     //console.log("GetStockKLine",result)
-    const chart = echarts.init(kLineChartRef.value);
     const categoryData = [];
     const values = [];
     const volumns=[];
@@ -47,24 +49,28 @@ function  handleKLine(code,name){
       let resultElement=result[i]
       //console.log("resultElement:{}",resultElement)
       categoryData.push(resultElement.day)
-      let flag=resultElement.close>resultElement.open?1:-1
+      let flag=Number(resultElement.close)>Number(resultElement.open)?1:-1
+      if(i>0){
+         flag=Number(resultElement.close)>Number(result[i-1].close)?1:-1
+      }
       values.push([
-        resultElement.open,
-        resultElement.close,
-        resultElement.low,
-        resultElement.high
+        Number(resultElement.open),
+        Number(resultElement.close),
+        Number(resultElement.low),
+        Number(resultElement.high)
       ])
-      volumns.push([i,resultElement.volume/10000,flag])
+      volumns.push([i,Number(resultElement.volume)/10000,flag])
     }
     ////console.log("categoryData",categoryData)
     ////console.log("values",values)
     let option = {
       title: {
-        text: name+" "+code,
-        left: '20px',
+        text: stockName+" "+categoryData[values.length-1]+"  "+values[values.length-1][1]+" "+((values[values.length-1][1]-values[values.length-2][1])/values[values.length-2][1]*100).toFixed(2)+"%",
+        left: '0px',
         textStyle: {
-          color: darkTheme?'#ccc':'#456'
-        }
+          color: Number(values[values.length-1][1])>Number(values[values.length-2][1])?'red':'green',
+          fontSize: 14
+        },
       },
       darkMode: darkTheme,
       //backgroundColor: '#1c1c1c',
@@ -150,7 +156,7 @@ function  handleKLine(code,name){
           left: '8%',
           right: '8%',
           top: '66%',
-          height: '15%'
+          height: '18%'
         }
       ],
       xAxis: [
@@ -184,7 +190,11 @@ function  handleKLine(code,name){
           scale: true,
           splitArea: {
             show: true
-          }
+          },
+          axisLabel: { show: true },
+          axisLine: { show: true },
+          axisTick: { show: true },
+          splitLine: { show: false }
         },
         {
           scale: true,
@@ -354,10 +364,7 @@ function  handleKLine(code,name){
       ]
     };
     chart.setOption(option);
-
-    chart.on('click',{seriesName:'日K'}, function(params) {
-      //console.log("click:",params);
-    });
+    chart.hideLoading()
   })
 }
 function calculateMA(dayCount,values) {

frontend/src/components/LongTigerRankList.vue

@@ -168,7 +168,7 @@ function handleEXPLANATION(value, option){
             <template #trigger>
               <n-button tag="a"  text :type="item.CHANGE_RATE>0?'error':'success'" :bordered=false >{{ item.SECURITY_NAME_ABBR }}</n-button>
             </template>
-            <k-line-chart style="width: 800px" :code="item.SECUCODE.split('.')[1].toLowerCase()+item.SECUCODE.split('.')[0]" :chart-height="500" :name="item.SECURITY_NAME_ABBR" :k-days="20" :dark-theme="true"></k-line-chart>
+            <k-line-chart style="width: 800px" :code="item.SECUCODE.split('.')[1].toLowerCase()+item.SECUCODE.split('.')[0]" :chart-height="500" :stockName="item.SECURITY_NAME_ABBR" :k-days="20" :dark-theme="true"></k-line-chart>
           </n-popover>
         </n-td>
         <n-td>

frontend/src/components/StockNoticeList.vue

@@ -123,7 +123,7 @@ function getmMarketCode(market,code) {
             <template #trigger>
               <n-tag type="info"  :bordered="false">{{item.codes[0].short_name }}</n-tag>
             </template>
-            <k-line-chart style="width: 800px" :code="getmMarketCode(item.codes[0].market_code,item.codes[0].stock_code)" :chart-height="500" :name="item.codes[0].short_name" :k-days="20" :dark-theme="true"></k-line-chart>
+            <k-line-chart style="width: 800px" :code="getmMarketCode(item.codes[0].market_code,item.codes[0].stock_code)" :chart-height="500" :stockName="item.codes[0].short_name" :k-days="20" :dark-theme="true"></k-line-chart>
           </n-popover>
         </n-td>
         <n-td>

frontend/src/components/StockResearchReportList.vue

@@ -111,7 +111,7 @@ function handleSearch(value) {
             <template #trigger>
               <n-tag type="info"  :bordered="false">{{item.stockName}}</n-tag>
             </template>
-            <k-line-chart style="width: 800px" :code="getmMarketCode(item.market,item.stockCode)" :chart-height="500" :name="item.stockName" :k-days="20" :dark-theme="true"></k-line-chart>
+            <k-line-chart style="width: 800px" :code="getmMarketCode(item.market,item.stockCode)" :chart-height="500" :stockName="item.stockName" :k-days="20" :dark-theme="true"></k-line-chart>
           </n-popover>
         </n-td>
         <n-td><n-tag type="info"  :bordered="false">{{item.indvInduName}}</n-tag></n-td>

frontend/src/components/about.vue

@@ -121,10 +121,10 @@ EventsOn("updateVersion",async (msg) => {
           <n-space vertical >
             <n-image width="100" :src="icon" />
             <h1>
-              <n-badge v-if="!vipLevel"  :value="versionInfo" :offset="[50,10]"  type="success">
+              <n-badge v-if="!vipLevel"  :value="versionInfo" :offset="[80,10]"  type="success">
                 <n-gradient-text type="info" :size="50" >go-stock</n-gradient-text>
               </n-badge>
-              <n-badge v-if="vipLevel"  :value="versionInfo" :offset="[50,10]"  type="success">
+              <n-badge v-if="vipLevel"  :value="versionInfo" :offset="[70,10]"  type="success">
                 <n-gradient-text :type="expired?'error':'warning'" :size="50" >go-stock</n-gradient-text><n-tag :bordered="false" size="small" type="warning">VIP{{vipLevel}}</n-tag>
               </n-badge>
             </h1>
@@ -166,7 +166,7 @@ EventsOn("updateVersion",async (msg) => {
                   <n-td>赞助 18.8 RMB/月<br>赞助 120 RMB/年</n-td><n-td>vip1</n-td><n-td>💕 全部功能,软件自动更新(从CDN下载),更新快速便捷。AI配置指导，提示词参考等</n-td>
                 </n-tr>
                 <n-tr>
-                  <n-td>赞助 28.8 RMB/月<br>赞助 240 RMB/年</n-td><n-td>vip2</n-td><n-td>💕 vip1全部功能,赠送硅基流动AI分析服务💕</n-td>
+                  <n-td>赞助 28.8 RMB/月<br>赞助 240 RMB/年</n-td><n-td>vip2</n-td><n-td>💕 vip1全部功能,启动时自动同步最近24小时市场资讯(包括外媒简讯) 💕</n-td>
                 </n-tr>
                 <n-tr>
                   <n-td>每月赞助 X RMB</n-td><n-td>vipX</n-td><n-td>🧩 更多计划，视go-stock开源项目发展情况而定...(承接GitHub项目README广告推广💖)</n-td>

frontend/src/components/aiRecommendStocksList.vue

@@ -0,0 +1,352 @@
+<script setup>
+import {computed, h, onBeforeMount, onBeforeUnmount, onMounted,onUnmounted, ref,reactive} from 'vue'
+import {
+  GetAiRecommendStocksList,
+  GetConfig,
+  GetSponsorInfo,
+  SaveAsMarkdown,
+  ShareAnalysis
+} from "../../wailsjs/go/main/App";
+import {NAvatar, NButton, NEllipsis, NPopover, NText, useMessage, useNotification} from "naive-ui";
+import KLineChart from "./KLineChart.vue";
+import {format} from "date-fns";
+
+const notify = useNotification()
+const vipLevel=ref("");
+const vipStartTime=ref("");
+const vipEndTime=ref("");
+const expired=ref(false)
+const isValidVip=ref(false) // 是否是会员
+
+onBeforeMount(()=> {
+  GetConfig().then(result => {
+    if (result.darkTheme) {
+      editorDataRef.darkTheme = true
+    }
+  })
+
+  GetSponsorInfo().then((res) => {
+    console.log(res)
+    vipLevel.value = res.vipLevel;
+    vipStartTime.value = res.vipStartTime;
+    vipEndTime.value = res.vipEndTime;
+    //判断时间是否到期
+    if (res.vipLevel) {
+      if (res.vipEndTime < format(new Date(), 'yyyy-MM-dd HH:mm:ss')) {
+        //notify.warning({content: 'VIP已到期'})
+        expired.value = true;
+      }
+    }else{
+      //notify.success({content: '未开通VIP'})
+    }
+  })
+
+})
+onMounted(() => {
+  query({
+    page: 1,
+    pageSize: paginationReactive.pageSize,
+    order: "desc",
+    keyword: paginationReactive.keyword,
+    startDate: paginationReactive.range[0],
+    endDate: paginationReactive.range[1]
+  }).then((data) => {
+    console.log( data)
+    dataRef.value = data.data
+    paginationReactive.page = 1
+    paginationReactive.pageCount = data.pageCount
+    paginationReactive.itemCount = data.total
+    loadingRef.value = false
+  })
+})
+const message = useMessage()
+const mdPreviewRef = ref(null)
+const mdEditorRef = ref(null)
+const editorDataRef = reactive({
+  show: false,
+  loading: false,
+  darkTheme: false,
+  chatId: "",
+  modelName: "",
+  CreatedAt: "",
+  stockName: "",
+  stockCode: "",
+  question: "",
+  content: "",
+})
+const dataRef = ref([])
+const loadingRef = ref(true)
+
+// StockClosePrice          string     `json:"StockClosePrice" md:"推荐时股票收盘价格"`
+// StockPrePrice            string     `json:"stockPrePricePrice" md:"前一交易日股票价格"`
+// RecommendReason          string     `json:"recommendReason" md:"推荐理由/驱动因素/逻辑"`
+// RecommendBuyPrice        string     `json:"recommendBuyPrice" md:"ai建议买入价"`
+// RecommendStopProfitPrice string     `json:"recommendStopProfitPrice" md:"ai建议止盈价"`
+// RecommendStopLossPrice   string     `json:"recommendStopLossPrice" md:"ai建议止损价"`
+// RiskRemarks              string     `json:"riskRemarks" md:"风险提示"`
+// Remarks                  string     `json:"remarks" md:"备注"`
+const columnsRef = ref([
+  {
+    title: '推荐时间',
+    key: 'dataTime',
+    render(row, index) {
+      //2026-01-14T22:13:27.2693252+08:00 格式化为常用时间格式
+      return row.CreatedAt.substring(0, 19).replace('T', ' ')
+    }
+  },
+  // {
+  //   title: '模型名称',
+  //   key: 'modelName'
+  // },
+  {
+    title: '股票名称',
+    key: 'stockName',
+    render(row, index) {
+      return h(NText, { type: "info" }, { default: () => row.stockName })
+    }
+  },
+  {
+    title: '股票代码',
+    key: 'stockCode'
+  },
+  {
+    title: '推荐时股票价格',
+    key: 'stockPrice'
+  },
+  {
+    title: '收盘价格',
+    key: 'stockClosePrice'
+  },
+  // {
+  //   title: '前一交易日价格',
+  //   key: 'stockPrePrice',
+  //   show:false,
+  // },
+  {
+    title: 'ai建议买入价',
+    key: 'recommendBuyPrice'
+  },
+  {
+    title: 'ai建议止盈价',
+    key: 'recommendStopProfitPrice'
+  },
+  {
+    title: 'ai建议止损价',
+    key: 'recommendStopLossPrice'
+  },
+  {
+    title: '推荐理由',
+    key: 'recommendReason',
+    ellipsis: {
+      tooltip: isValidVip
+    }
+  },
+  {
+    title: '风险提示',
+    key: 'riskRemarks',
+    ellipsis: {
+      tooltip: isValidVip
+    }
+  },
+  {
+    title: '备注',
+    key: 'remarks',
+    ellipsis: {
+      tooltip: isValidVip
+    }
+  },
+  {
+    title: '操作',
+    render(row, index) {
+      return h(
+          NButton,
+          {
+            strong: true,
+            tertiary: true,
+            size: 'small',
+            type: 'warning', // 橙色按钮
+            style: 'font-size: 14px; padding: 0 10px;', // 稍微大一点的按钮
+            onClick: () => rowProps(row)
+          },
+          { default: () => '查看详细' }
+      )
+    }
+  },
+])
+const paginationReactive = reactive({
+  page: 1,
+  pageCount: 1,
+  pageSize: 12,
+  itemCount: 0,
+  keyword: "",
+  range: [new Date(new Date().getTime() - 7 * 24 * 60 * 60 * 1000), new Date(new Date().getTime() +  24 * 60 * 60 * 1000)],
+  prefix({ itemCount }) {
+    return `${itemCount} 条记录`
+  }
+})
+
+const modalDataRef = reactive({
+  visible: false,
+  title: "",
+  content: "",
+  riskRemarks: "",
+  stockCode: "",
+  stockName: "",
+  remarks: "",
+})
+
+const theme = computed(() => {
+  return editorDataRef.darkTheme ? 'dark' : 'light'
+})
+
+
+function query({
+                 page,
+                 pageSize = 10,
+                 order = 'desc',
+                 keyword = "",
+                  startDate = "",
+                 endDate = ""
+               }) {
+  return new Promise((resolve) => {
+
+    GetAiRecommendStocksList({
+      "page": page,
+      "pageSize": pageSize,
+      "modelName":keyword,
+      "stockName":keyword,
+      "stockCode":keyword,
+      "startDate": startDate,
+      "endDate": endDate
+    }).then((res) => {
+      const pagedData =res.list
+      const total = res.total
+      const pageCount =res.totalPages
+      resolve({
+        pageCount,
+        data: pagedData,
+        total
+      })
+    })
+  })
+}
+
+function handlePageChange(currentPage) {
+  if (!loadingRef.value) {
+    loadingRef.value = true
+    query({
+      page: currentPage,
+      pageSize: paginationReactive.pageSize,
+      order: "desc",
+      keyword: paginationReactive.keyword,
+      startDate: formatDate(paginationReactive.range[0]), // Format date to string
+      endDate: formatDate(paginationReactive.range[1]) // Format date to string
+    }).then((data) => {
+      dataRef.value = data.data
+      paginationReactive.page = currentPage
+      paginationReactive.pageCount = data.pageCount
+      paginationReactive.itemCount = data.total
+      loadingRef.value = false
+    })
+  }
+}
+function handleSearch() {
+  if (!loadingRef.value) {
+    loadingRef.value = true
+    query({
+      page: 1,
+      pageSize: paginationReactive.pageSize,
+      order: "desc",
+      keyword: paginationReactive.keyword,
+      startDate: formatDate(paginationReactive.range[0]),
+      endDate: formatDate(paginationReactive.range[1])
+    }).then((data) => {
+      dataRef.value = data.data
+      paginationReactive.page = 1
+      paginationReactive.pageCount = data.pageCount
+      paginationReactive.itemCount = data.total
+      loadingRef.value = false
+    })
+  }
+}
+function formatDate(dateString) {
+  const date = new Date(dateString)
+  const year = date.getFullYear()
+  const month = String(date.getMonth() + 1).padStart(2, '0')
+  const day = String(date.getDate()).padStart(2, '0')
+  const hours = String(date.getHours()).padStart(2, '0')
+  const minutes = String(date.getMinutes()).padStart(2, '0')
+  const seconds = String(date.getSeconds()).padStart(2, '0')
+  return `${year}-${month}-${day} ${hours}:${minutes}:${seconds}`
+}
+function getStockCode(stockCode) {
+  if(stockCode.indexOf( ".")>0){
+    stockCode=stockCode.split(".")[1]+stockCode.split(".")[0]
+  }
+  //转化为小写
+  stockCode=stockCode.toLowerCase()
+  return stockCode
+
+}
+
+function rowProps(row) {
+  return {
+    style: 'cursor: pointer;',
+    onClick: () => {
+      if(vipLevel.value===""|| Number(vipLevel.value) <=0){
+        notify.warning({content: '未开通VIP或者已经过期'})
+        return
+      }
+
+
+      //message.info(row.stockName)
+      modalDataRef.title = row.stockName
+      modalDataRef.content = row.recommendReason
+      modalDataRef.riskRemarks = row.riskRemarks
+      modalDataRef.stockCode = getStockCode(row.stockCode)
+      modalDataRef.stockName = row.stockName
+      modalDataRef.visible = true
+      modalDataRef.remarks = row.remarks
+    }
+  }
+}
+</script>
+
+<template>
+  <n-input-group>
+    <n-date-picker  v-model:value="paginationReactive.range" type="datetimerange"   style="width: 50%"/>
+    <n-input clearable placeholder="输入关键词搜索" v-model:value="paginationReactive.keyword"/>
+    <n-button type="primary" ghost @click="handleSearch"  @input="handleSearch">
+      搜索
+    </n-button>
+  </n-input-group>
+        <n-data-table
+            remote
+            :row-props="rowProps"
+            size="small"
+            :columns="columnsRef"
+            :data="dataRef"
+            :loading="loadingRef"
+            :pagination="paginationReactive"
+            :row-key="(rowData)=>rowData.ID"
+            @update:page="handlePageChange"
+            flex-height
+            style="height: calc(100vh - 210px);margin-top: 10px"
+        />
+
+  <n-modal v-model:show="modalDataRef.visible" :title="modalDataRef.title" preset="card" style="width: 850px;">
+    <n-gradient-text :size="16" type="warning">{{modalDataRef.remarks}}</n-gradient-text>
+    <n-card size="small">
+      <KLineChart style="width: 800px" :code="getStockCode(modalDataRef.stockCode)" :chart-height="500" :stock-name="modalDataRef.stockName" :k-days="30" :dark-theme="editorDataRef.darkTheme"></KLineChart>
+    </n-card>
+    <n-card size="small">
+    <n-text type="info">{{modalDataRef.content}}</n-text>
+    <n-divider><n-gradient-text type="error">风险提示</n-gradient-text></n-divider>
+    <n-text type="error">{{modalDataRef.riskRemarks}}</n-text>
+    </n-card>
+  </n-modal>
+</template>
+
+<style scoped>
+
+</style>

frontend/src/components/market.vue

@@ -78,6 +78,7 @@ const indexInterval = ref(null)
 const indexIndustryRank = ref(null)
 const stockCode= ref('')
 const enableTools= ref(true)
+const thinkingMode = ref(true)
 const treemapRef = ref(null);
 let treemapchart =null;
 
@@ -127,6 +128,9 @@ onBeforeMount(() => {
 
   indexIndustryRank.value = setInterval(() => {
     industryRank()
+    ReFlesh("财联社电报")
+    ReFlesh("新浪财经")
+    ReFlesh("外媒")
   }, 1000 * 10)
 
 
@@ -223,7 +227,7 @@ 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() {
@@ -353,14 +357,14 @@ function ReFlesh(source) {
             <AnalyzeMartket :dark-theme="darkTheme" :chart-height="300" :kDays="1" :name="'最近24小时热词'" />
           </n-gi>
           <n-gi>
-            <n-grid :cols="httpProxyEnabled?3:2" :y-gap="0">
+            <n-grid :cols="foreignNewsList.length?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">
+              <n-gi v-if="foreignNewsList.length>0">
                 <news-list :newsList="foreignNewsList" :header-title="'外媒'" @update:message="ReFlesh"></news-list>
               </n-gi>
 
@@ -407,31 +411,31 @@ function ReFlesh(source) {
             </n-grid>
           </n-tab-pane>
           <n-tab-pane name="上证指数" tab="上证指数">
-            <k-line-chart code="sh000001" :chart-height="panelHeight" name="上证指数" :k-days="20"
+            <k-line-chart code="sh000001" :chart-height="panelHeight" stockName="上证指数" :k-days="20"
                           :dark-theme="true"></k-line-chart>
           </n-tab-pane>
           <n-tab-pane name="深证成指" tab="深证成指">
-            <k-line-chart code="sz399001" :chart-height="panelHeight" name="深证成指" :k-days="20"
+            <k-line-chart code="sz399001" :chart-height="panelHeight" stockName="深证成指" :k-days="20"
                           :dark-theme="true"></k-line-chart>
           </n-tab-pane>
           <n-tab-pane name="创业板指" tab="创业板指">
-            <k-line-chart code="sz399006" :chart-height="panelHeight" name="创业板指" :k-days="20"
+            <k-line-chart code="sz399006" :chart-height="panelHeight" stockName="创业板指" :k-days="20"
                           :dark-theme="true"></k-line-chart>
           </n-tab-pane>
           <n-tab-pane name="恒生指数" tab="恒生指数">
-            <k-line-chart code="hkHSI" :chart-height="panelHeight" name="恒生指数" :k-days="20"
+            <k-line-chart code="hkHSI" :chart-height="panelHeight" stockName="恒生指数" :k-days="20"
                           :dark-theme="true"></k-line-chart>
           </n-tab-pane>
           <n-tab-pane name="纳斯达克" tab="纳斯达克">
-            <k-line-chart code="us.IXIC" :chart-height="panelHeight" name="纳斯达克" :k-days="20"
+            <k-line-chart code="us.IXIC" :chart-height="panelHeight" stockName="纳斯达克" :k-days="20"
                           :dark-theme="true"></k-line-chart>
           </n-tab-pane>
           <n-tab-pane name="道琼斯" tab="道琼斯">
-            <k-line-chart code="us.DJI" :chart-height="panelHeight" name="道琼斯" :k-days="20"
+            <k-line-chart code="us.DJI" :chart-height="panelHeight" stockName="道琼斯" :k-days="20"
                           :dark-theme="true"></k-line-chart>
           </n-tab-pane>
           <n-tab-pane name="标普500" tab="标普500">
-            <k-line-chart code="us.INX" :chart-height="panelHeight" name="标普500" :k-days="20"
+            <k-line-chart code="us.INX" :chart-height="panelHeight" stockName="标普500" :k-days="20"
                           :dark-theme="true"></k-line-chart>
           </n-tab-pane>
         </n-tabs>
@@ -439,59 +443,59 @@ function ReFlesh(source) {
       <n-tab-pane name="重大指数" tab="重大指数">
         <n-tabs type="segment" animated>
           <n-tab-pane name="恒生科技指数" tab="恒生科技指数">
-            <k-line-chart code="hkHSTECH" :chart-height="panelHeight" name="恒生科技指数" :k-days="20"
+            <k-line-chart code="hkHSTECH" :chart-height="panelHeight" stockName="恒生科技指数" :k-days="20"
                           :dark-theme="true"></k-line-chart>
           </n-tab-pane>
           <n-tab-pane name="科创50" tab="科创50"  >
-            <k-line-chart code="sh000688" :chart-height="panelHeight" name="科创50" :k-days="20"  
+            <k-line-chart code="sh000688" :chart-height="panelHeight" stockName="科创50" :k-days="20"
                           :dark-theme="true"></k-line-chart>
           </n-tab-pane>
           <n-tab-pane name="科创芯片" tab="科创芯片"  >
-            <k-line-chart code="sh000685" :chart-height="panelHeight" name="科创芯片" :k-days="20"
+            <k-line-chart code="sh000685" :chart-height="panelHeight" stockName="科创芯片" :k-days="20"
                           :dark-theme="true"></k-line-chart>
           </n-tab-pane>
           <n-tab-pane name="证券龙头" tab="证券龙头"  >
-            <k-line-chart code="sz399437" :chart-height="panelHeight" name="证券龙头" :k-days="20"
+            <k-line-chart code="sz399437" :chart-height="panelHeight" stockName="证券龙头" :k-days="20"
                           :dark-theme="true"></k-line-chart>
           </n-tab-pane>
           <n-tab-pane name="高端装备" tab="高端装备"  >
-            <k-line-chart code="sz399437" :chart-height="panelHeight" name="高端装备" :k-days="20"
+            <k-line-chart code="sz399437" :chart-height="panelHeight" stockName="高端装备" :k-days="20"
                           :dark-theme="true"></k-line-chart>
           </n-tab-pane>
           <n-tab-pane name="中证银行" tab="中证银行">
-            <k-line-chart code="sz399986" :chart-height="panelHeight" name="中证银行" :k-days="20"
+            <k-line-chart code="sz399986" :chart-height="panelHeight" stockName="中证银行" :k-days="20"
                           :dark-theme="true"></k-line-chart>
           </n-tab-pane>
           <n-tab-pane name="上证医药" tab="上证医药">
-            <k-line-chart code="sh000037" :chart-height="panelHeight" name="上证医药" :k-days="20"
+            <k-line-chart code="sh000037" :chart-height="panelHeight" stockName="上证医药" :k-days="20"
                           :dark-theme="true"></k-line-chart>
           </n-tab-pane>
           <n-tab-pane name="沪深300" tab="沪深300">
-            <k-line-chart code="sh000300" :chart-height="panelHeight" name="沪深300" :k-days="20"
+            <k-line-chart code="sh000300" :chart-height="panelHeight" stockName="沪深300" :k-days="20"
                           :dark-theme="true"></k-line-chart>
           </n-tab-pane>
           <n-tab-pane name="上证50" tab="上证50">
-            <k-line-chart code="sh000016" :chart-height="panelHeight" name="上证50" :k-days="20"
+            <k-line-chart code="sh000016" :chart-height="panelHeight" stockName="上证50" :k-days="20"
                           :dark-theme="true"></k-line-chart>
           </n-tab-pane>
           <n-tab-pane name="中证A500" tab="中证A500">
-            <k-line-chart code="sh000510" :chart-height="panelHeight" name="中证A500" :k-days="20"
+            <k-line-chart code="sh000510" :chart-height="panelHeight" stockName="中证A500" :k-days="20"
                           :dark-theme="true"></k-line-chart>
           </n-tab-pane>
           <n-tab-pane name="中证1000" tab="中证1000">
-            <k-line-chart code="sh000852" :chart-height="panelHeight" name="中证1000" :k-days="20"
+            <k-line-chart code="sh000852" :chart-height="panelHeight" stockName="中证1000" :k-days="20"
                           :dark-theme="true"></k-line-chart>
           </n-tab-pane>
           <n-tab-pane name="中证白酒" tab="中证白酒">
-            <k-line-chart code="sz399997" :chart-height="panelHeight" name="中证白酒" :k-days="20"
+            <k-line-chart code="sz399997" :chart-height="panelHeight" stockName="中证白酒" :k-days="20"
                           :dark-theme="true"></k-line-chart>
           </n-tab-pane>
           <n-tab-pane name="富时中国三倍做多" tab="富时中国三倍做多">
-            <k-line-chart code="usYINN.AM" :chart-height="panelHeight" name="富时中国三倍做多" :k-days="20"
+            <k-line-chart code="usYINN.AM" :chart-height="panelHeight" stockName="富时中国三倍做多" :k-days="20"
                           :dark-theme="true"></k-line-chart>
           </n-tab-pane>
           <n-tab-pane name="VIX恐慌指数" tab="VIX恐慌指数">
-            <k-line-chart code="usUVXY.AM" :chart-height="panelHeight" name="VIX恐慌指数" :k-days="20"
+            <k-line-chart code="usUVXY.AM" :chart-height="panelHeight" stockName="VIX恐慌指数" :k-days="20"
                           :dark-theme="true"></k-line-chart>
           </n-tab-pane>
         </n-tabs>
@@ -704,6 +708,16 @@ 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

@@ -1,6 +1,7 @@
 <script setup>
 import {ReFleshTelegraphList} from "../../wailsjs/go/main/App";
 import {RefreshCircle, RefreshCircleSharp, RefreshOutline} from "@vicons/ionicons5";
+import {computed, h, onBeforeMount, onBeforeUnmount, onMounted,onUnmounted, ref} from 'vue'
 
 const { headerTitle,newsList } = defineProps({
   headerTitle: {
@@ -18,6 +19,30 @@ const emits = defineEmits(['update:message'])
 const updateMessage = () => {
   emits('update:message', headerTitle)
 }
+// 使用 ref 创建响应式时间数据
+const time = ref(new Date())
+
+// 更新时间的函数
+const updateTime = () => {
+  time.value = new Date()
+}
+
+let timer = null
+
+// 组件挂载时启动定时器
+onMounted(() => {
+  if (headerTitle === '财联社电报') {
+    // 每秒更新一次时间
+    timer = setInterval(updateTime, 1000)
+  }
+})
+
+// 组件卸载时清除定时器
+onUnmounted(() => {
+  if (timer) {
+    clearInterval(timer)
+  }
+})
 </script>
 
 <template>
@@ -25,17 +50,18 @@ const updateMessage = () => {
     <template #header>
       <n-flex justify="space-between">
         <n-tag :bordered="false" size="large" type="success" >{{ headerTitle }}</n-tag>
+        <n-tag :bordered="false" size="large" type="info"  v-if="headerTitle==='财联社电报'"> <n-time :time="time"/></n-tag>
         <n-button  :bordered="false" @click="updateMessage"><n-icon color="#409EFF" size="25" :component="RefreshCircleSharp"/></n-button>
       </n-flex>
     </template>
-    <n-list-item v-for="item in newsList">
+    <n-list-item v-for="(item,idx) in newsList" :key="item.ID">
+      <n-space justify="center" v-if="idx!==0 && item.dataTime.substring(0,10) !== newsList[idx-1].dataTime.substring(0,10)">
+        <n-divider>
+          {{ item.dataTime.substring(0,10) }}
+        </n-divider>
+      </n-space>
       <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 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>

frontend/src/components/rankTable.vue

@@ -72,7 +72,7 @@ function GetMoneyRankSinaData(){
             <template #trigger>
               <n-button tag="a"  text :type="item.changeratio>0?'error':'success'" :bordered=false >{{ item.name }}</n-button>
             </template>
-            <k-line-chart style="width: 800px" :code="item.symbol" :chart-height="500" :name="item.name" :k-days="20" :dark-theme="true"></k-line-chart>
+            <k-line-chart style="width: 800px" :code="item.symbol" :chart-height="500" :stockName="item.name" :k-days="20" :dark-theme="true"></k-line-chart>
           </n-popover>
         </n-td>
         <n-td><n-text :type="item.changeratio>0?'error':'success'">{{item.trade}}</n-text></n-td>

frontend/src/components/researchIndex.vue

@@ -0,0 +1,49 @@
+<script setup>
+import {computed, h, onBeforeMount, onBeforeUnmount, onMounted,onUnmounted, ref,reactive} from 'vue'
+import {GetAIResponseResultList} from "../../wailsjs/go/main/App";
+import {NButton, NEllipsis, NText} from "naive-ui";
+import ResearchReport from "./researchReport.vue";
+import AiRecommendStocksList from "./aiRecommendStocksList.vue";
+import {EventsOff, EventsOn} from "../../wailsjs/runtime";
+import {useRoute} from 'vue-router'
+
+
+const nowTab = ref("AI分析报告")
+const route = useRoute()
+onBeforeMount(() => {
+  nowTab.value = route.query.name
+})
+
+onBeforeUnmount(() => {
+  EventsOff("changeResearchTab")
+})
+
+onUnmounted(() => {
+
+});
+
+EventsOn("changeResearchTab", async (msg) => {
+  console.log("changeResearchTab", msg)
+  updateTab(msg.name)
+})
+function updateTab(name) {
+  nowTab.value = name
+}
+</script>
+
+<template>
+  <n-card>
+    <n-tabs type="line" animated @update-value="updateTab" :value="nowTab" style="--wails-draggable:no-drag">
+      <n-tab-pane name="AI分析报告">
+        <ResearchReport/>
+      </n-tab-pane>
+      <n-tab-pane name="股票推荐记录">
+        <AiRecommendStocksList/>
+      </n-tab-pane>
+    </n-tabs>
+  </n-card>
+</template>
+
+<style scoped>
+
+</style>

frontend/src/components/researchReport.vue

@@ -0,0 +1,292 @@
+<script setup>
+import {computed, h, onBeforeMount, onBeforeUnmount, onMounted,onUnmounted, ref,reactive} from 'vue'
+import {GetAIResponseResultList, GetConfig, SaveAsMarkdown, ShareAnalysis} from "../../wailsjs/go/main/App";
+import {NAvatar, NButton, NEllipsis, NText, useMessage} from "naive-ui";
+import {MdEditor, MdPreview} from 'md-editor-v3';
+
+
+
+onBeforeMount(()=> {
+  GetConfig().then(result => {
+    if (result.darkTheme) {
+      editorDataRef.darkTheme = true
+    }
+  })
+})
+onMounted(() => {
+  query({
+    page: 1,
+    pageSize: paginationReactive.pageSize,
+    order: "desc",
+    keyword: paginationReactive.keyword,
+    startDate: paginationReactive.range[0],
+    endDate: paginationReactive.range[1]
+  }).then((data) => {
+    console.log( data)
+    dataRef.value = data.data
+    paginationReactive.page = 1
+    paginationReactive.pageCount = data.pageCount
+    paginationReactive.itemCount = data.total
+    loadingRef.value = false
+  })
+})
+const message = useMessage()
+const mdPreviewRef = ref(null)
+const mdEditorRef = ref(null)
+const editorDataRef = reactive({
+  show: false,
+  loading: false,
+  darkTheme: false,
+  chatId: "",
+  modelName: "",
+  CreatedAt: "",
+  stockName: "",
+  stockCode: "",
+  question: "",
+  content: "",
+})
+const dataRef = ref([])
+const loadingRef = ref(true)
+const columnsRef = ref([
+  {
+    title: '分析时间',
+    key: 'CreatedAt',
+    render(row, index) {
+      //2026-01-14T22:13:27.2693252+08:00 格式化为常用时间格式
+      return row.CreatedAt.substring(0, 19).replace('T', ' ')
+    }
+  },
+  {
+    title: '模型名称',
+    key: 'modelName'
+  },
+  {
+    title: '分析对象',
+    key: 'stockName'
+  },
+  {
+    title: '提示词',
+    key: 'question',
+    render(row, index) {
+      return h(NEllipsis, { tooltip: true ,style: "max-width: 240px;"}, {default: () => h(NText,{type: "info"},{default: () => row.question}),})
+    }
+  },
+  {
+    title: '操作',
+    render(row, index) {
+      return h(
+          NButton,
+          {
+            strong: true,
+            tertiary: true,
+            size: 'small',
+            type: 'warning', // 橙色按钮
+            style: 'font-size: 14px; padding: 0 10px;', // 稍微大一点的按钮
+            onClick: () => showReport(row)
+          },
+          { default: () => '查看分析报告' }
+      )
+    }
+  },
+])
+const paginationReactive = reactive({
+  page: 1,
+  pageCount: 1,
+  pageSize: 12,
+  itemCount: 0,
+  keyword: "",
+  range: [new Date(new Date().getTime() - 7 * 24 * 60 * 60 * 1000), new Date(new Date().getTime() + 24 * 60 * 60 * 1000)],
+  prefix({ itemCount }) {
+    return `${itemCount} 条记录`
+  }
+})
+const theme = computed(() => {
+  return editorDataRef.darkTheme ? 'dark' : 'light'
+})
+function showReport(row) {
+
+  editorDataRef.show = true
+  editorDataRef.chatId = row.chatId
+  editorDataRef.modelName = row.modelName
+  editorDataRef.CreatedAt = row.CreatedAt.substring(0, 19).replace('T', ' ')
+  editorDataRef.stockName = row.stockName
+  editorDataRef.stockCode = row.stockCode
+  editorDataRef.question = row.question
+  editorDataRef.content = row.content
+  editorDataRef.loading = false
+}
+
+function query({
+                 page,
+                 pageSize = 10,
+                 order = 'desc',
+                 keyword = "",
+                 startDate = "",
+                 endDate = ""
+               }) {
+  return new Promise((resolve) => {
+
+    GetAIResponseResultList({
+      "page": page,
+      "pageSize": pageSize,
+      "modelName":keyword,
+      "question":keyword,
+      "stockName":keyword,
+      "stockCode":keyword,
+      "startDate":startDate,
+      "endDate":endDate
+    }).then((res) => {
+      const pagedData =res.list
+      const total = res.total
+      const pageCount =res.totalPages
+      resolve({
+        pageCount,
+        data: pagedData,
+        total
+      })
+    })
+  })
+}
+
+function handlePageChange(currentPage) {
+  if (!loadingRef.value) {
+    loadingRef.value = true
+    query({
+      page: currentPage,
+      pageSize: paginationReactive.pageSize,
+      order: "desc",
+      keyword: paginationReactive.keyword,
+      startDate: formatDate(paginationReactive.range[0]),
+      endDate: formatDate(paginationReactive.range[1])
+    }).then((data) => {
+      dataRef.value = data.data
+      paginationReactive.page = currentPage
+      paginationReactive.pageCount = data.pageCount
+      paginationReactive.itemCount = data.total
+      loadingRef.value = false
+    })
+  }
+}
+function handleSearch() {
+  if (!loadingRef.value) {
+    loadingRef.value = true
+    query({
+      page: 1,
+      pageSize: paginationReactive.pageSize,
+      order: "desc",
+      keyword: paginationReactive.keyword,
+      startDate: formatDate(paginationReactive.range[0]),
+      endDate: formatDate(paginationReactive.range[1])
+    }).then((data) => {
+      dataRef.value = data.data
+      paginationReactive.page = 1
+      paginationReactive.pageCount = data.pageCount
+      paginationReactive.itemCount = data.total
+      loadingRef.value = false
+    })
+  }
+}
+function share(code, name) {
+  ShareAnalysis(code, name).then(msg => {
+    //message.info(msg)
+    notify.info({
+      avatar: () =>
+          h(NAvatar, {
+            size: 'small',
+            round: false,
+            src: icon.value
+          }),
+      title: '分享到社区',
+      duration: 1000 * 30,
+      content: () => {
+        return h('div', {
+          style: {
+            'text-align': 'left',
+            'font-size': '14px',
+          }
+        }, {default: () => msg})
+      },
+    })
+  })
+}
+
+function saveAsMarkdown(code,name) {
+  SaveAsMarkdown(code, name).then(result => {
+    if(result !== ""){
+      message.success(result)
+    }
+  })
+}
+async function copyToClipboard() {
+  try {
+    await navigator.clipboard.writeText(editorDataRef.content);
+    message.success('分析结果已复制到剪切板');
+  } catch (err) {
+    message.error('复制失败: ' + err);
+  }
+}
+function formatDate(dateString) {
+  const date = new Date(dateString)
+  const year = date.getFullYear()
+  const month = String(date.getMonth() + 1).padStart(2, '0')
+  const day = String(date.getDate()).padStart(2, '0')
+  const hours = String(date.getHours()).padStart(2, '0')
+  const minutes = String(date.getMinutes()).padStart(2, '0')
+  const seconds = String(date.getSeconds()).padStart(2, '0')
+  return `${year}-${month}-${day} ${hours}:${minutes}:${seconds}`
+}
+</script>
+
+<template>
+  <n-input-group>
+    <n-date-picker  v-model:value="paginationReactive.range" type="datetimerange"   style="width: 50%"/>
+    <n-input clearable placeholder="输入关键词搜索" v-model:value="paginationReactive.keyword"/>
+    <n-button type="primary" ghost @click="handleSearch"  @input="handleSearch">
+      搜索
+    </n-button>
+  </n-input-group>
+        <n-data-table
+            remote
+            size="small"
+            :columns="columnsRef"
+            :data="dataRef"
+            :loading="loadingRef"
+            :pagination="paginationReactive"
+            :row-key="(rowData)=>rowData.ID"
+            @update:page="handlePageChange"
+            flex-height
+            style="height: calc(100vh - 210px);margin-top: 10px"
+        />
+
+
+
+  <n-modal transform-origin="center" v-model:show="editorDataRef.show" preset="card" style="width: 800px;"
+           :title="'['+editorDataRef.stockName+']AI分析'">
+    <n-spin size="small" :show="editorDataRef.loading">
+      <MdPreview  ref="mdPreviewRef" style="height: 540px;text-align: left"
+                 :modelValue="editorDataRef.content" :theme="theme"/>
+    </n-spin>
+    <template #footer>
+      <n-flex justify="space-between" ref="tipsRef">
+        <n-text type="info" v-if="editorDataRef.chatId">
+          <n-tag v-if="editorDataRef.modelName" type="warning" round :title="editorDataRef.chatId" :bordered="false">
+            {{ editorDataRef.modelName }}
+          </n-tag>
+          {{ editorDataRef.CreatedAt }}
+        </n-text>
+        <n-text type="error">*AI分析结果仅供参考，请以实际行情为准。投资需谨慎，风险自担。</n-text>
+      </n-flex>
+    </template>
+    <template #action>
+      <n-flex justify="right">
+        <n-button size="tiny" type="success" @click="copyToClipboard">复制到剪切板</n-button>
+        <n-button size="tiny" type="primary" @click="saveAsMarkdown(editorDataRef.stockCode,editorDataRef.stockName)">保存为Markdown文件</n-button>
+        <n-button size="tiny" type="error" @click="share(editorDataRef.stockCode,editorDataRef.stockName)">分享到项目社区</n-button>
+      </n-flex>
+    </template>
+  </n-modal>
+</template>
+
+<style scoped>
+
+</style>

frontend/src/components/settings.vue

@@ -34,6 +34,8 @@ const formValue = ref({
     questionTemplate: "{{stockName}}分析和总结",
     crawlTimeOut: 30,
     kDays: 30,
+    httpProxy:"",
+    httpProxyEnabled:false,
   },
   enableDanmu: false,
   browserPath: '',
@@ -57,8 +59,10 @@ function addAiConfig() {
     apiKey: '',
     modelName: 'deepseek-chat',
     temperature: 0.1,
-    maxTokens: 1024,
+    maxTokens: 4096,
     timeOut: 60,
+    httpProxy:"",
+    httpProxyEnabled:false,
   }));
 }
 
@@ -92,6 +96,8 @@ onMounted(() => {
       questionTemplate: res.questionTemplate ? res.questionTemplate : '{{stockName}}分析和总结',
       crawlTimeOut: res.crawlTimeOut,
       kDays: res.kDays,
+      httpProxy:"",
+      httpProxyEnabled:false,
     }
 
 
@@ -388,14 +394,14 @@ function deletePrompt(ID) {
             </n-form-item-gi>
             <n-form-item-gi :span="4" v-if="formValue.openAI.enable" title="天数越多消耗tokens越多"
                             label="日K线数据(天)" path="openAI.kDays">
-              <n-input-number min="30" step="1" max="365" v-model:value="formValue.openAI.kDays"/>
+              <n-input-number min="30" step="1" max="60" v-model:value="formValue.openAI.kDays"/>
             </n-form-item-gi>
-            <n-form-item-gi :span="2" label="http代理" path="httpProxyEnabled">
+            <n-form-item-gi :span="2" label="爬虫http代理" path="httpProxyEnabled">
               <n-switch v-model:value="formValue.httpProxyEnabled"/>
             </n-form-item-gi>
             <n-form-item-gi :span="10" v-if="formValue.httpProxyEnabled" title="http代理地址"
                             label="http代理地址" path="httpProxy">
-              <n-input type="text" placeholder="http代理地址" v-model:value="formValue.httpProxy" clearable/>
+              <n-input type="text" placeholder="爬虫http代理地址" v-model:value="formValue.httpProxy" clearable/>
             </n-form-item-gi>
 
 
@@ -452,6 +458,12 @@ function deletePrompt(ID) {
                     <n-form-item-gi :span="5" label="Timeout(秒)" :path="`openAI.aiConfigs[${index}].timeOut`">
                       <n-input-number min="60" step="1" placeholder="超时(秒)" v-model:value="aiConfig.timeOut"/>
                     </n-form-item-gi>
+                    <n-form-item-gi :span="12" label="http代理" :path="`openAI.aiConfigs[${index}].httpProxyEnabled`">
+                      <n-switch v-model:value="aiConfig.httpProxyEnabled"/>
+                    </n-form-item-gi>
+                    <n-form-item-gi :span="12" v-if="aiConfig.httpProxyEnabled" title="http代理地址" :path="`openAI.aiConfigs[${index}].httpProxy`">
+                      <n-input type="text" placeholder="http代理地址" v-model:value="aiConfig.httpProxy" clearable/>
+                    </n-form-item-gi>
                   </n-grid>
                 </n-card>
                 <n-button type="primary" dashed @click="addAiConfig" style="width: 100%;">+ 添加AI配置</n-button>

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/router/router.js

@@ -6,6 +6,7 @@ import aboutView from "../components/about.vue";
 import fundView from "../components/fund.vue";
 import marketView from "../components/market.vue";
 import agentChat from "../components/agent-chat.vue"
+import research from "../components/researchIndex.vue";
 
 const routes = [
     { path: '/', component: stockView,name: 'stock'},
@@ -14,6 +15,8 @@ const routes = [
     { path: '/about', component: aboutView,name: 'about' },
     { path: '/market', component: marketView,name: 'market' },
     { path: '/agent', component: agentChat,name: 'agent' },
+    { path: '/research', component: research,name: 'research' },
+
 ]
 
 const router = createRouter({

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

@@ -12,10 +12,12 @@ 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 BatchDeleteAIResponseResult(arg1:Array<number>):Promise<string>;
+
 export function ChatWithAgent(arg1:string,arg2:number,arg3:any):Promise<void>;
 
 export function CheckSponsorCode(arg1:string):Promise<Record<string, any>>;
@@ -28,6 +30,8 @@ export function ClsCalendar():Promise<Array<any>>;
 
 export function DelPrompt(arg1:number):Promise<string>;
 
+export function DeleteAIResponseResult(arg1:string):Promise<string>;
+
 export function EMDictCode(arg1:string):Promise<Array<any>>;
 
 export function ExportConfig():Promise<string>;
@@ -38,8 +42,12 @@ export function FollowFund(arg1:string):Promise<string>;
 
 export function GetAIResponseResult(arg1:string):Promise<models.AIResponseResult>;
 
+export function GetAIResponseResultList(arg1:models.AIResponseResultQuery):Promise<models.AIResponseResultPageData>;
+
 export function GetAiConfigs():Promise<Array<data.AIConfig>>;
 
+export function GetAiRecommendStocksList(arg1:models.AiRecommendStocksQuery):Promise<models.AiRecommendStocksPageData>;
+
 export function GetConfig():Promise<data.SettingConfig>;
 
 export function GetFollowList(arg1:number):Promise<any>;
@@ -96,7 +104,7 @@ export function InvestCalendarTimeLine(arg1:string):Promise<Array<any>>;
 
 export function LongTigerRank(arg1:string):Promise<any>;
 
-export function NewChatStream(arg1:string,arg2:string,arg3:string,arg4:number,arg5:any,arg6:boolean):Promise<void>;
+export function NewChatStream(arg1:string,arg2:string,arg3:string,arg4:number,arg5:any,arg6:boolean,arg7:boolean):Promise<void>;
 
 export function NewsPush(arg1:any):Promise<void>;
 
@@ -136,7 +144,7 @@ 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

@@ -26,6 +26,10 @@ export function AnalyzeSentimentWithFreqWeight(arg1) {
   return window['go']['main']['App']['AnalyzeSentimentWithFreqWeight'](arg1);
 }
 
+export function BatchDeleteAIResponseResult(arg1) {
+  return window['go']['main']['App']['BatchDeleteAIResponseResult'](arg1);
+}
+
 export function ChatWithAgent(arg1, arg2, arg3) {
   return window['go']['main']['App']['ChatWithAgent'](arg1, arg2, arg3);
 }
@@ -50,6 +54,10 @@ export function DelPrompt(arg1) {
   return window['go']['main']['App']['DelPrompt'](arg1);
 }
 
+export function DeleteAIResponseResult(arg1) {
+  return window['go']['main']['App']['DeleteAIResponseResult'](arg1);
+}
+
 export function EMDictCode(arg1) {
   return window['go']['main']['App']['EMDictCode'](arg1);
 }
@@ -70,10 +78,18 @@ export function GetAIResponseResult(arg1) {
   return window['go']['main']['App']['GetAIResponseResult'](arg1);
 }
 
+export function GetAIResponseResultList(arg1) {
+  return window['go']['main']['App']['GetAIResponseResultList'](arg1);
+}
+
 export function GetAiConfigs() {
   return window['go']['main']['App']['GetAiConfigs']();
 }
 
+export function GetAiRecommendStocksList(arg1) {
+  return window['go']['main']['App']['GetAiRecommendStocksList'](arg1);
+}
+
 export function GetConfig() {
   return window['go']['main']['App']['GetConfig']();
 }
@@ -186,8 +202,8 @@ export function LongTigerRank(arg1) {
   return window['go']['main']['App']['LongTigerRank'](arg1);
 }
 
-export function NewChatStream(arg1, arg2, arg3, arg4, arg5, arg6) {
-  return window['go']['main']['App']['NewChatStream'](arg1, arg2, arg3, arg4, arg5, arg6);
+export function NewChatStream(arg1, arg2, arg3, arg4, arg5, arg6, arg7) {
+  return window['go']['main']['App']['NewChatStream'](arg1, arg2, arg3, arg4, arg5, arg6, arg7);
 }
 
 export function NewsPush(arg1) {
@@ -266,8 +282,8 @@ 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

@@ -13,6 +13,8 @@ export namespace data {
 	    maxTokens: number;
 	    temperature: number;
 	    timeOut: number;
+	    httpProxy: string;
+	    httpProxyEnabled: boolean;
 	
 	    static createFrom(source: any = {}) {
 	        return new AIConfig(source);
@@ -30,6 +32,8 @@ export namespace data {
 	        this.maxTokens = source["maxTokens"];
 	        this.temperature = source["temperature"];
 	        this.timeOut = source["timeOut"];
+	        this.httpProxy = source["httpProxy"];
+	        this.httpProxyEnabled = source["httpProxyEnabled"];
 	    }
 	
 		convertValues(a: any, classs: any, asMap: boolean = false): any {
@@ -342,26 +346,6 @@ 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
@@ -727,6 +711,206 @@ export namespace models {
 		    return a;
 		}
 	}
+	export class AIResponseResultPageData {
+	    list: AIResponseResult[];
+	    total: number;
+	    page: number;
+	    pageSize: number;
+	    totalPages: number;
+	
+	    static createFrom(source: any = {}) {
+	        return new AIResponseResultPageData(source);
+	    }
+	
+	    constructor(source: any = {}) {
+	        if ('string' === typeof source) source = JSON.parse(source);
+	        this.list = this.convertValues(source["list"], AIResponseResult);
+	        this.total = source["total"];
+	        this.page = source["page"];
+	        this.pageSize = source["pageSize"];
+	        this.totalPages = source["totalPages"];
+	    }
+	
+		convertValues(a: any, classs: any, asMap: boolean = false): any {
+		    if (!a) {
+		        return a;
+		    }
+		    if (a.slice && a.map) {
+		        return (a as any[]).map(elem => this.convertValues(elem, classs));
+		    } else if ("object" === typeof a) {
+		        if (asMap) {
+		            for (const key of Object.keys(a)) {
+		                a[key] = new classs(a[key]);
+		            }
+		            return a;
+		        }
+		        return new classs(a);
+		    }
+		    return a;
+		}
+	}
+	export class AIResponseResultQuery {
+	    page: number;
+	    pageSize: number;
+	    chatId: string;
+	    modelName: string;
+	    stockCode: string;
+	    stockName: string;
+	    question: string;
+	    startDate: string;
+	    endDate: string;
+	
+	    static createFrom(source: any = {}) {
+	        return new AIResponseResultQuery(source);
+	    }
+	
+	    constructor(source: any = {}) {
+	        if ('string' === typeof source) source = JSON.parse(source);
+	        this.page = source["page"];
+	        this.pageSize = source["pageSize"];
+	        this.chatId = source["chatId"];
+	        this.modelName = source["modelName"];
+	        this.stockCode = source["stockCode"];
+	        this.stockName = source["stockName"];
+	        this.question = source["question"];
+	        this.startDate = source["startDate"];
+	        this.endDate = source["endDate"];
+	    }
+	}
+	export class AiRecommendStocks {
+	    ID: number;
+	    // Go type: time
+	    CreatedAt: any;
+	    // Go type: time
+	    UpdatedAt: any;
+	    // Go type: gorm
+	    DeletedAt: any;
+	    // Go type: time
+	    dataTime?: any;
+	    modelName: string;
+	    stockCode: string;
+	    stockName: string;
+	    bkCode: string;
+	    bkName: string;
+	    stockPrice: string;
+	    stockClosePrice: string;
+	    stockPrePrice: string;
+	    recommendReason: string;
+	    recommendBuyPrice: string;
+	    recommendStopProfitPrice: string;
+	    recommendStopLossPrice: string;
+	    riskRemarks: string;
+	    remarks: string;
+	
+	    static createFrom(source: any = {}) {
+	        return new AiRecommendStocks(source);
+	    }
+	
+	    constructor(source: any = {}) {
+	        if ('string' === typeof source) source = JSON.parse(source);
+	        this.ID = source["ID"];
+	        this.CreatedAt = this.convertValues(source["CreatedAt"], null);
+	        this.UpdatedAt = this.convertValues(source["UpdatedAt"], null);
+	        this.DeletedAt = this.convertValues(source["DeletedAt"], null);
+	        this.dataTime = this.convertValues(source["dataTime"], null);
+	        this.modelName = source["modelName"];
+	        this.stockCode = source["stockCode"];
+	        this.stockName = source["stockName"];
+	        this.bkCode = source["bkCode"];
+	        this.bkName = source["bkName"];
+	        this.stockPrice = source["stockPrice"];
+	        this.stockClosePrice = source["stockClosePrice"];
+	        this.stockPrePrice = source["stockPrePrice"];
+	        this.recommendReason = source["recommendReason"];
+	        this.recommendBuyPrice = source["recommendBuyPrice"];
+	        this.recommendStopProfitPrice = source["recommendStopProfitPrice"];
+	        this.recommendStopLossPrice = source["recommendStopLossPrice"];
+	        this.riskRemarks = source["riskRemarks"];
+	        this.remarks = source["remarks"];
+	    }
+	
+		convertValues(a: any, classs: any, asMap: boolean = false): any {
+		    if (!a) {
+		        return a;
+		    }
+		    if (a.slice && a.map) {
+		        return (a as any[]).map(elem => this.convertValues(elem, classs));
+		    } else if ("object" === typeof a) {
+		        if (asMap) {
+		            for (const key of Object.keys(a)) {
+		                a[key] = new classs(a[key]);
+		            }
+		            return a;
+		        }
+		        return new classs(a);
+		    }
+		    return a;
+		}
+	}
+	export class AiRecommendStocksPageData {
+	    list: AiRecommendStocks[];
+	    total: number;
+	    page: number;
+	    pageSize: number;
+	    totalPages: number;
+	
+	    static createFrom(source: any = {}) {
+	        return new AiRecommendStocksPageData(source);
+	    }
+	
+	    constructor(source: any = {}) {
+	        if ('string' === typeof source) source = JSON.parse(source);
+	        this.list = this.convertValues(source["list"], AiRecommendStocks);
+	        this.total = source["total"];
+	        this.page = source["page"];
+	        this.pageSize = source["pageSize"];
+	        this.totalPages = source["totalPages"];
+	    }
+	
+		convertValues(a: any, classs: any, asMap: boolean = false): any {
+		    if (!a) {
+		        return a;
+		    }
+		    if (a.slice && a.map) {
+		        return (a as any[]).map(elem => this.convertValues(elem, classs));
+		    } else if ("object" === typeof a) {
+		        if (asMap) {
+		            for (const key of Object.keys(a)) {
+		                a[key] = new classs(a[key]);
+		            }
+		            return a;
+		        }
+		        return new classs(a);
+		    }
+		    return a;
+		}
+	}
+	export class AiRecommendStocksQuery {
+	    page: number;
+	    pageSize: number;
+	    stockCode: string;
+	    stockName: string;
+	    bkCode: string;
+	    bkName: string;
+	    startDate: string;
+	    endDate: string;
+	
+	    static createFrom(source: any = {}) {
+	        return new AiRecommendStocksQuery(source);
+	    }
+	
+	    constructor(source: any = {}) {
+	        if ('string' === typeof source) source = JSON.parse(source);
+	        this.page = source["page"];
+	        this.pageSize = source["pageSize"];
+	        this.stockCode = source["stockCode"];
+	        this.stockName = source["stockName"];
+	        this.bkCode = source["bkCode"];
+	        this.bkName = source["bkName"];
+	        this.startDate = source["startDate"];
+	        this.endDate = source["endDate"];
+	    }
+	}
 	export class Prompt {
 	    ID: number;
 	    name: string;
@@ -745,6 +929,26 @@ 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

go.mod

@@ -5,7 +5,7 @@ go 1.25.0
 require (
 	github.com/PuerkitoBio/goquery v1.11.0
 	github.com/chromedp/chromedp v0.14.2
-	github.com/cloudwego/eino v0.7.3
+	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
@@ -25,6 +25,7 @@ require (
 	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/exp v0.0.0-20251125195548-87e1e737ad39
 	golang.org/x/net v0.47.0
 	golang.org/x/sys v0.38.0
 	golang.org/x/text v0.31.0
@@ -120,7 +121,6 @@ require (
 	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

go.sum

@@ -118,8 +118,8 @@ github.com/clbanning/mxj v1.8.4/go.mod h1:BVjHeAH+rl9rs6f+QIpeRl0tfu10SXn1pUSa5P
 github.com/client9/misspell v0.3.4/go.mod h1:qj6jICC3Q7zFZvVWo7KLAzC3yx5G7kyvSDkc90ppPyw=
 github.com/cloudwego/base64x v0.1.6 h1:t11wG9AECkCDk5fMSoxmufanudBtJ+/HemLstXDLI2M=
 github.com/cloudwego/base64x v0.1.6/go.mod h1:OFcloc187FXDaYHvrNIjxSe8ncn0OOM8gEHfghB2IPU=
-github.com/cloudwego/eino v0.7.3 h1:+byYvxX3d9C12XfSyXBH2blZlReTuqcPPbPqsdNiYGU=
-github.com/cloudwego/eino v0.7.3/go.mod h1:nA8Vacmuqv3pqKBQbTWENBLQ8MmGmPt/WqiyLeB8ohQ=
+github.com/cloudwego/eino v0.7.9 h1:wrkVFKa/gqe5b7EUl/hyKVXxwcAltI0OdOzABmDS5IE=
+github.com/cloudwego/eino v0.7.9/go.mod h1:nA8Vacmuqv3pqKBQbTWENBLQ8MmGmPt/WqiyLeB8ohQ=
 github.com/cloudwego/eino-ext/components/model/ark v0.1.52 h1:/qqHpgvS5hoC7Z2U0JOFJL75q/odMlR26VEsoV1bjo0=
 github.com/cloudwego/eino-ext/components/model/ark v0.1.52/go.mod h1:dC4wNeUdnjo4s/1r+YG7fMQcnfQ3bOFWw8Penh86vOI=
 github.com/cloudwego/eino-ext/components/model/deepseek v0.1.0 h1:LutIVpQaqXaXNhn3RkSB0dWyBldQ0oxq2pecyW4jqyU=

main.go

@@ -152,9 +152,9 @@ func main() {
 		BackgroundColour:         backgroundColour,
 		Assets:                   assets,
 		Menu:                     AppMenu,
-		Logger:                   nil,
+		Logger:                   logger.NewFileLogger("./logs/wails.log"),
 		LogLevel:                 logger.DEBUG,
-		LogLevelProduction:       logger.ERROR,
+		LogLevelProduction:       logger.INFO,
 		OnStartup:                app.startup,
 		OnDomReady:               app.domReady,
 		OnBeforeClose:            app.beforeClose,
@@ -189,7 +189,7 @@ func main() {
 			WindowIsTranslucent:  true,
 			About: &mac.AboutInfo{
 				Title:   "go-stock",
-				Message: "",
+				Message: "go-stock：AI赋能股票分析✨ ",
 				Icon:    icon,
 			},
 		},
@@ -241,8 +241,11 @@ 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{})
+	db.Dao.AutoMigrate(&models.AiRecommendStocks{})
 
-	updateMultipleModel()
+	//updateMultipleModel()
 }
 
 func initStockDataUS(ctx context.Context) {