feat(stock):添加板块概念数据查询功能

- 扩展SearchStockByIndicators工具描述，增加更多股票筛选示例
- 新增SearchBk函数用于查询板块/概念/指数整体数据
- 实现SearchBk在OpenAI API中的调用逻辑
- 更新股票数据标题为"工具筛选出的相关股票数据"
- 添加SearchBk API接口实现
- 更新测试用例验证板块查询功能

.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

@@ -22,7 +22,7 @@
 - 开发环境主要基于Windows10+，其他平台未测试或功能受限。
 
 ### 📦 立即体验
-- 安装版：[go-stock-amd64-installer.exe](https://github.com/ArvinLovegood/go-stock/releases)
+[//]: # (- 安装版：[go-stock-amd64-installer.exe](https://github.com/ArvinLovegood/go-stock/releases))
 - 绿色版：[go-stock-windows-amd64.exe](https://github.com/ArvinLovegood/go-stock/releases)
 - MACOS绿色版：[go-stock-darwin-universal](https://github.com/ArvinLovegood/go-stock/releases)
 
@@ -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
@@ -60,22 +63,87 @@ func AddTools(tools []data.Tool) []data.Tool {
 	tools = append(tools, data.Tool{
 		Type: "function",
 		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{
+			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。" +
+				"例如:查看涨停板：涨停板，按涨幅从高到低排序。" +
+				"例如:查看跌停板：跌停板，按跌幅从高到低排序。" +
+				"例如:查看龙虎榜：龙虎榜，按涨幅从高到低排序。" +
+				"例如:查看昨日龙虎榜：昨日龙虎榜。" +
+				"例如:查看板块龙头行情：板块/概念龙头，按涨幅从高到低排序。" +
+				"例如:查看板块龙头行情：龙头股，按成交量从高到低排序。" +
+				"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。按成交量从高到低排序。" +
+				"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。按成交量从高到低排序。" +
+				"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。按成交量从高到低排序。" +
+				"例如:超短线策略：当日成交量大于前一日成交量的1.8倍;当日最高价创60日新高当日收盘价大于5日均线;当日为阳线;股价小于200;" +
+				"例1：创新药,半导体;PE<30;净利润增长率>50%。 按成交量从高到低排序。" +
+				"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。按成交量从高到低排序。" +
+				"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。按成交量从高到低排序。" +
+				"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%。按成交量从高到低排序。" +
+				"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。按成交量从高到低排序。",
+			Parameters: &data.FunctionParameters{
 				Type: "object",
 				Properties: map[string]any{
 					"words": map[string]any{
 						"type": "string",
 						"description": "选股自然语言。" +
-							"例1：创新药,半导体;PE<30;净利润增长率>50%。 " +
+							"例如:查看涨停板：涨停板，按涨幅从高到低排序。" +
+							"例如:查看跌停板：跌停板，按跌幅从高到低排序。" +
+							"例如:查看龙虎榜：龙虎榜，按涨幅从高到低排序。" +
+							"例如:查看昨日龙虎榜：昨日龙虎榜。" +
+							"例如:查看板块龙头行情：板块/概念龙头，按涨幅从高到低排序。" +
+							"例如:查看板块龙头行情：龙头股，按成交量从高到低排序。" +
+							"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。按成交量从高到低排序。" +
+							"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。按成交量从高到低排序。" +
+							"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。按成交量从高到低排序。" +
+							"例如:超短线策略：当日成交量大于前一日成交量的1.8倍;当日最高价创60日新高当日收盘价大于5日均线;当日为阳线;股价小于200;" +
+							"例1：创新药,半导体;PE<30;净利润增长率>50%。 按成交量从高到低排序。" +
 							"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",
+							"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。按成交量从高到低排序。" +
+							"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。按成交量从高到低排序。" +
+							"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%。按成交量从高到低排序。" +
+							"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。按成交量从高到低排序。",
+					},
+				},
+				Required: []string{"words"},
+			},
+		},
+	})
+
+	tools = append(tools, data.Tool{
+		Type: "function",
+		Function: data.ToolFunction{
+			Name: "SearchBk",
+			Description: "根据自然语言查询板块/概念/指数整体数据。" +
+				"例如:存储芯片，成分股" +
+				"例如:查看指数：上证指数。" +
+				"例如:查看存储芯片板块：存储芯片。" +
+				"例如:查看概念板块排名：今日涨幅前5的概念板块。" +
+				"例如:查看概念板块排名：今日净流入前5的概念板块。" +
+				"例如:查看板块/概念排名数据：今日主力净流出前15的概念板块。" +
+				"例如:查看板块板块/概念：今日成交量前15的概念板块。" +
+				"例如:通过市盈率查询板块：当前市盈率介于30-50的板块/概念。",
+
+			Parameters: &data.FunctionParameters{
+				Type: "object",
+				Properties: map[string]any{
+					"words": map[string]any{
+						"type": "string",
+						"description": "板块/概念数据查询自然语言。" +
+							"例如:存储芯片，成分股" +
+							"例如:查看指数：上证指数。" +
+							"例如:查看存储芯片板块：存储芯片。" +
+							"例如:查看概念板块排名：今日涨幅前5的概念板块。" +
+							"例如:查看概念板块排名：今日净流入前5的概念板块。" +
+							"例如:查看板块/概念排名数据：今日主力净流出前15的概念板块。" +
+							"例如:查看板块板块/概念：今日成交量前15的概念板块。" +
+							"例如:通过市盈率查询板块：当前市盈率介于30-50的板块/概念。",
 					},
 				},
 				Required: []string{"words"},
@@ -88,7 +156,7 @@ 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 +178,7 @@ func AddTools(tools []data.Tool) []data.Tool {
 		Function: data.ToolFunction{
 			Name:        "InteractiveAnswer",
 			Description: "获取投资者与上市公司互动问答的数据,反映当前投资者关注的热点问题",
-			Parameters: data.FunctionParameters{
+			Parameters: &data.FunctionParameters{
 				Type: "object",
 				Properties: map[string]any{
 					"page": map[string]any{
@@ -161,8 +229,8 @@ func AddTools(tools []data.Tool) []data.Tool {
 		Type: "function",
 		Function: data.ToolFunction{
 			Name:        "GetStockResearchReport",
-			Description: "获取股票的分析/研究报告",
-			Parameters: data.FunctionParameters{
+			Description: "获取市场分析师的股票研究报告",
+			Parameters: &data.FunctionParameters{
 				Type: "object",
 				Properties: map[string]any{
 					"stockCode": map[string]any{
@@ -175,6 +243,218 @@ 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/概念/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建议买入价区间最低价和最高价之间用`-`分隔",
+					},
+					"recommendStopProfitPrice": map[string]any{
+						"type":        "string",
+						"description": "ai建议止盈价区间最低价和最高价之间用`-`分隔",
+					},
+					"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": "操作总结/备注",
+					},
+				},
+				Required: []string{"stockCode", "stockName", "bkName"},
+			},
+		},
+	})
+
+	//BatchCreateAiRecommendStocks
+	tools = append(tools, data.Tool{
+		Type: "function",
+		Function: data.ToolFunction{
+			Name:        "BatchCreateAiRecommendStocks",
+			Description: "批量创建/保存AI推荐股票记录，建议每次批量保存5条记录",
+			Parameters: &data.FunctionParameters{
+				Type: "object",
+				Properties: map[string]any{
+					"stocks": map[string]any{
+						"type": "array",
+						"items": map[string]any{
+							"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/概念/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建议买入价区间最低价和最高价之间用`-`分隔",
+								},
+								"recommendStopProfitPrice": map[string]any{
+									"type":        "string",
+									"description": "ai建议止盈价区间最低价和最高价之间用`-`分隔",
+								},
+								"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": "操作总结/备注",
+								},
+							},
+						},
+					},
+				},
+
+				Required: []string{"stockCode", "stockName", "bkName"},
+			},
+		},
+	})
+
 	return tools
 }
 
@@ -245,8 +525,16 @@ 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 +559,9 @@ 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 +617,147 @@ 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()
@@ -410,10 +789,18 @@ func (a *App) domReady(ctx context.Context) {
 	//定时更新数据
 	config := data.GetSettingConfig()
 	go func() {
+		go data.NewMarketNewsApi().TelegraphList(30)
+		go data.NewMarketNewsApi().GetSinaNews(30)
+		go data.NewMarketNewsApi().TradingViewNews()
+
 		interval := config.RefreshInterval
 		if interval <= 0 {
 			interval = 1
 		}
+		a.cron.AddFunc(fmt.Sprintf("@every %ds", interval+60), func() {
+			data.NewsAnalyze("", true)
+		})
+
 		//ticker := time.NewTicker(time.Second * time.Duration(interval))
 		//defer ticker.Stop()
 		//for range ticker.C {
@@ -453,6 +840,19 @@ func (a *App) domReady(ctx context.Context) {
 		} else {
 			a.cronEntrys["newSinaNews"] = entryIDSina
 		}
+
+		entryIDTradingViewNews, err := a.cron.AddFunc(fmt.Sprintf("@every %ds", interval+10), func() {
+			news := data.NewMarketNewsApi().TradingViewNews()
+			if config.EnablePushNews {
+				go a.NewsPush(news)
+			}
+			go runtime.EventsEmit(a.ctx, "tradingViewNews", news)
+		})
+		if err != nil {
+			logger.SugaredLogger.Errorf("AddFunc error:%s", err.Error())
+		} else {
+			a.cronEntrys["tradingViewNews"] = entryIDTradingViewNews
+		}
 	}()
 
 	//刷新基金净值信息
@@ -669,7 +1069,7 @@ func (a *App) AddCronTask(follow data.FollowedStock) func() {
 	return func() {
 		go runtime.EventsEmit(a.ctx, "warnMsg", "开始自动分析"+follow.Name+"_"+follow.StockCode)
 		ai := data.NewDeepSeekOpenAi(a.ctx, follow.AiConfigId)
-		msgs := ai.NewChatStream(follow.Name, follow.StockCode, "", nil, a.AiTools)
+		msgs := ai.NewChatStream(follow.Name, follow.StockCode, "", nil, a.AiTools, true)
 		var res strings.Builder
 
 		chatId := ""
@@ -700,7 +1100,7 @@ func refreshTelegraphList() *[]string {
 	response, err := resty.New().R().
 		SetHeader("Referer", "https://www.cls.cn/").
 		SetHeader("User-Agent", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36 Edg/117.0.2045.60").
-		Get(fmt.Sprintf(url))
+		Get(url)
 	if err != nil {
 		return &[]string{}
 	}
@@ -1034,12 +1434,12 @@ func (a *App) SendDingDingMessageByType(message string, stockCode string, msgTyp
 	return data.NewDingDingAPI().SendDingDingMessage(message)
 }
 
-func (a *App) NewChatStream(stock, stockCode, question string, aiConfigId int, sysPromptId *int, enableTools bool) {
+func (a *App) NewChatStream(stock, stockCode, question string, aiConfigId int, sysPromptId *int, enableTools bool, think bool) {
 	var msgs <-chan map[string]any
 	if enableTools {
-		msgs = data.NewDeepSeekOpenAi(a.ctx, aiConfigId).NewChatStream(stock, stockCode, question, sysPromptId, a.AiTools)
+		msgs = data.NewDeepSeekOpenAi(a.ctx, aiConfigId).NewChatStream(stock, stockCode, question, sysPromptId, a.AiTools, think)
 	} else {
-		msgs = data.NewDeepSeekOpenAi(a.ctx, aiConfigId).NewChatStream(stock, stockCode, question, sysPromptId, []data.Tool{})
+		msgs = data.NewDeepSeekOpenAi(a.ctx, aiConfigId).NewChatStream(stock, stockCode, question, sysPromptId, []data.Tool{}, think)
 	}
 	for msg := range msgs {
 		runtime.EventsEmit(a.ctx, "newChatStream", msg)
@@ -1358,8 +1758,9 @@ func (a *App) GetTelegraphList(source string) *[]*models.Telegraph {
 
 func (a *App) ReFleshTelegraphList(source string) *[]*models.Telegraph {
 	//data.NewMarketNewsApi().GetNewTelegraph(30)
-	data.NewMarketNewsApi().TelegraphList(30)
-	data.NewMarketNewsApi().GetSinaNews(30)
+	go data.NewMarketNewsApi().TelegraphList(30)
+	go data.NewMarketNewsApi().GetSinaNews(30)
+	go data.NewMarketNewsApi().TradingViewNews()
 	telegraphs := data.NewMarketNewsApi().GetTelegraphList(source)
 	return telegraphs
 }
@@ -1368,12 +1769,12 @@ 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("财联社电报", 1000)
-		messageText := strings.Builder{}
-		for _, telegraph := range *telegraphs {
-			messageText.WriteString(telegraph.Content + "\n")
-		}
-		text = messageText.String()
-	}
-	result, frequencies := data.AnalyzeSentimentWithFreqWeight(text)
-	// 过滤标点符号和分隔符
-	cleanFrequencies := data.FilterAndSortWords(frequencies)
+	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

@@ -8,6 +8,8 @@ import (
 	"go-stock/backend/models"
 	"testing"
 	"time"
+
+	"github.com/go-resty/resty/v2"
 )
 
 // @Author spark
@@ -45,3 +47,28 @@ func TestJson(t *testing.T) {
 	db.Dao.Model(v).Updates(v)
 
 }
+
+func TestUpdateCheck(t *testing.T) {
+	releaseVersion := &models.GitHubReleaseVersion{}
+	_, err := resty.New().R().
+		SetResult(releaseVersion).
+		SetHeader("Accept", "application/vnd.github+json").
+		SetHeader("X-GitHub-Api-Version", "2022-11-28").
+		Get("https://api.github.com/repos/ArvinLovegood/go-stock/releases/latest")
+	//  https://api.github.com/repos/OWNER/REPO/releases/latest
+	if err != nil {
+		logger.SugaredLogger.Errorf("get github release version error:%s", err.Error())
+		return
+	}
+	logger.SugaredLogger.Infof("releaseVersion:%+v", releaseVersion)
+}
+
+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/agent/tools/market_news_tool.go

@@ -3,13 +3,14 @@ package tools
 import (
 	"context"
 	"encoding/json"
+	"go-stock/backend/data"
+	"go-stock/backend/logger"
+	"strings"
+
 	"github.com/cloudwego/eino/components/tool"
 	"github.com/cloudwego/eino/schema"
 	"github.com/duke-git/lancet/v2/random"
 	"github.com/tidwall/gjson"
-	"go-stock/backend/data"
-	"go-stock/backend/logger"
-	"strings"
 )
 
 // @Author spark
@@ -51,7 +52,7 @@ func (q QueryMarketNews) InvokableRun(ctx context.Context, argumentsInJSON strin
 		})
 	}
 
-	news := data.NewMarketNewsApi().GetNewsList("财联社电报", random.RandInt(100, 500))
+	news := data.NewMarketNewsApi().GetNewsList("", random.RandInt(100, 500))
 	messageText := strings.Builder{}
 	for _, telegraph := range *news {
 		messageText.WriteString("## " + telegraph.Time + ":" + "\n")

backend/data/ai_recommend_stocks_api.go

@@ -0,0 +1,138 @@
+// Package data ai_recommend_stocks_api.go
+package data
+
+import (
+	"go-stock/backend/db"
+	"go-stock/backend/models"
+
+	"github.com/duke-git/lancet/v2/slice"
+	"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
+}
+
+func (s *AiRecommendStocksService) BatchCreateAiRecommendStocks(recommends []*models.AiRecommendStocks) error {
+	result := db.Dao.Create(recommends)
+	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))
+
+	stockCodes := slice.Map(list, func(index int, item models.AiRecommendStocks) string {
+		return ConvertTushareCodeToStockCode(item.StockCode)
+	})
+	stockData, _ := NewStockDataApi().GetStockCodeRealTimeData(stockCodes...)
+	for _, info := range *stockData {
+		for idx, item := range list {
+			if ConvertTushareCodeToStockCode(item.StockCode) == ConvertTushareCodeToStockCode(info.Code) {
+				list[idx].StockCurrentPrice = info.Price
+				list[idx].StockPrePrice = info.PreClose
+				list[idx].StockCurrentPriceTime = info.Date + " " + info.Time
+			}
+		}
+	}
+
+	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/data/dict/base.txt

@@ -1,6 +1,5 @@
 # 金融股票全场景分词字典（最终去重优化版）
 # 格式：单词 权重 词性 | 权重280-350分，核心术语优先匹配，无重复词汇
-# 覆盖：净买卖、股指、财务指标、交易操作、政策宏观、热点概念、机构媒体、美股中概股、十五五规划等全场景
 
 # 一、净买卖与资金流向（核心交易表述）
 净卖出 340 v
@@ -94,6 +93,8 @@
 信息披露 310 n
 内幕交易 300 n
 操纵市场 300 n
+亏损 100 n
+加工 100 n
 
 # 三、全球主要股指（含中英文缩写）
 # 中国市场
@@ -116,63 +117,43 @@ A股 350 n
 科创50指数 330 n
 上证综指 350 n
 富时中国A50指数 340 n
-FTSE China A50 330 n
 恒生指数 340 n
-HSI 330 n
 恒生科技指数 340 n
 恒生国企指数 330 n
 H股指数 330 n
 # 美洲市场
 道琼斯工业平均指数 350 n
-DJIA 340 n
 标普500指数 350 n
-S&P 500 340 n
 纳斯达克综合指数 340 n
 纳斯达克100指数 340 n
-Nasdaq 100 330 n
 罗素2000指数 320 n
-Russell 2000 310 n
 标普400中型股指数 310 n
 标普600小型股指数 310 n
 纽约证交所综合指数 310 n
-NYSE Composite 300 n
 纳斯达克中国金龙指数 310 n
 # 欧洲市场
 德国DAX指数 330 n
-DAX 30 320 n
 法国CAC40指数 330 n
-CAC 40 320 n
 富时100指数 330 n
-FTSE 100 320 n
 欧元斯托克50指数 320 n
-Euro Stoxx 50 310 n
 英国富时250指数 310 n
-FTSE 250 300 n
 意大利富时MIB指数 310 n
-FTSE MIB 300 n
 西班牙IBEX 35指数 310 n
-IBEX 35 300 n
 # 亚太其他市场
 日经225指数 330 n
-Nikkei 225 320 n
 日经500指数 310 n
 韩国综合股价指数 320 n
 韩国kospi指数 320 n
 KOSPI 310 n
 澳洲标普200指数 310 n
-S&P/ASX 200 300 n
 印度孟买敏感指数 310 n
 Sensex 300 n
 印度Nifty 50指数 310 n
-Nifty 50 300 n
 # 全球综合指数
 MSCI指数 320 n
 MSCI全球指数 330 n
-MSCI World Index 320 n
 MSCI新兴市场指数 330 n
-MSCI Emerging Markets 320 n
 富时罗素全球指数 320 n
-FTSE Russell Global Index 310 n
 摩根大通全球债券指数 310 n
 全球股指 300 n
 发达市场指数 300 n
@@ -197,38 +178,7 @@ G20国家指数 300 n
 指数估值 310 n
 指数市盈率 310 n
 
-# 四、A股龙头公司（资讯高频）
-贵州茅台 310 n
-宁德时代 350 n
-比亚迪 340 n
-隆基绿能 300 n
-长江电力 290 n
-中国平安 300 n
-招商银行 300 n
-五粮液 290 n
-美的集团 290 n
-格力电器 290 n
-海康威视 290 n
-迈瑞医疗 290 n
-恒瑞医药 290 n
-中芯国际 300 n
-中兴通讯 290 n
-东方财富 290 n
-爱尔眼科 290 n
-通威股份 290 n
-药明康德 320 n
-阳光电源 290 n
-天齐锂业 290 n
-赣锋锂业 290 n
-中国中免 290 n
-海螺水泥 280 n
-万科A 280 n
-保利发展 280 n
-招商蛇口 280 n
-上汽集团 280 n
-宝钢股份 280 n
-
-# 五、财务与估值核心指标
+# 四、财务与估值核心指标
 市盈率 350 n
 PE 350 n
 动态市盈率 340 n
@@ -268,7 +218,7 @@ EPS 330 n
 量比 320 n
 振幅 320 n
 
-# 六、政策与宏观经济
+# 五、政策与宏观经济
 货币政策 330 n
 财政政策 330 n
 稳健货币政策 320 n
@@ -306,7 +256,7 @@ PMI 330 n
 黄金价格 310 n
 有色金属价格 300 n
 
-# 七、金融产品与机构
+# 六、金融产品与机构
 股票 320 n
 基金 320 n
 公募基金 310 n
@@ -350,7 +300,7 @@ QFII 300 n
 RQFII 290 n
 北向资金机构 300 n
 
-# 八、热点概念与行业
+# 七、热点概念与行业
 AI 330 n
 人工智能 350 n
 算力 330 n
@@ -394,7 +344,7 @@ CXO 300 n
 5G 300 n
 6G 340 n
 
-# 九、交易操作与行情
+# 八、交易操作与行情
 上涨 310 v
 下跌 310 v
 涨停 310 v
@@ -472,511 +422,7 @@ CXO 300 n
 震荡上行 320 v
 震荡下行 320 v
 
-# 十、委托交易与规则
+# 九、委托交易与规则
 限价委托 340 n
 市价委托 340 n
-止损委托 330 n
-止盈委托 330 n
-预埋单 320 n
-条件单 330 n
-触发委托 320 n
-追涨委托 320 n
-抄底委托 320 n
-挂单 330 n
-撤单 330 v
-成交 340 v
-未成交 320 adj
-部分成交 320 adj
-委托价 320 n
-成交价 320 n
-委托量 320 n
-买单 330 n
-卖单 330 n
-买入 340 v
-卖出 340 v
-做多 330 v
-做空 330 v
-开仓 330 v
-满仓 330 v
-空仓 330 v
-半仓 320 v
-轻仓 320 v
-重仓 320 v
-底仓 320 n
-补仓 320 v
-T+1交易 330 n
-T+0交易 330 n
-日内交易 320 n
-短线交易 320 n
-中线交易 320 n
-长线交易 320 n
-集合竞价交易 320 n
-连续竞价交易 320 n
-保证金 320 n
-杠杆 320 n
-融资 320 n
-融券 320 n
-融资买入 320 v
-融券卖出 320 v
-融资余额 320 n
-融券余额 320 n
-两融业务 320 n
-信用账户 320 n
-普通账户 320 n
-资金账户 320 n
-证券账户 320 n
-持仓 330 n
-持仓股 320 n
-持仓数量 320 n
-可用资金 320 n
-可取资金 320 n
-冻结资金 320 n
-交易成本 320 n
-手续费 320 n
-佣金 320 n
-印花税 320 n
-过户费 320 n
-交易规费 320 n
-B股 310 n
-H股 310 n
-美股 310 n
-创业板 320 n
-科创板 320 n
-主板 320 n
-纳斯达克 350 n
-纽交所 310 n
-标普500 350 n
-道琼斯 310 n
-成分股 310 n
-权重股 310 n
-龙头股 310 n
-中小盘股 310 n
-大盘股 310 n
-小盘股 310 n
-ST股 320 n
-*ST股 320 n
-退市股 320 n
-次新股 320 n
-新股 320 n
-打新 320 v
-新股申购 320 n
-中签 320 v
-新股上市 320 n
-限售股 310 n
-解禁 310 v
-股权登记日 310 n
-除权除息日 310 n
-派息 310 n
-分红 310 n
-送股 310 n
-转增股 310 n
-配股 310 n
-除权 310 n
-除息 310 n
-填权 310 v
-贴权 310 v
-筹码分析 310 n
-盘口分析 310 n
-K线图 310 n
-均线 310 n
-日均线 310 n
-周均线 310 n
-月均线 310 n
-MACD 310 n
-KDJ 310 n
-RSI 310 n
-布林带 310 n
-成交量均线 310 n
-支撑位 310 n
-压力位 310 n
-阻力位 310 n
-突破 310 v
-跌破 310 v
-站稳 310 v
-回落 310 v
-冲高 310 v
-横盘整理 310 n
-震荡整理 310 n
-洗盘 310 n
-吸筹 310 n
-出货 310 n
-建仓成本 310 n
-持仓周期 310 n
-交易频率 310 n
-长线持有 310 v
-高抛低吸 310 v
-追涨杀跌 310 v
-低吸高抛 310 v
-顺势而为 310 n
-逆向投资 310 n
-交易软件 300 n
-行情软件 300 n
-交易终端 300 n
-手机炒股 300 n
-电脑炒股 300 n
-网上交易 300 n
-电话委托 290 n
-营业部交易 290 n
-交易系统 300 n
-行情系统 300 n
-Level-2行情 300 n
-实时行情 300 n
-延时行情 290 n
-交易接口 300 n
-量化交易 310 n
-算法交易 300 n
-程序化交易 300 n
-自动交易 300 n
-智能投顾 300 n
-券商APP 300 n
-交易佣金 300 n
-开户 300 v
-销户 290 v
-转户 290 v
-绑定银行卡 290 v
-银证转账 300 n
-银证通 290 n
-第三方存管 290 n
-赛道股 330 n
-抱团股 310 n
-妖股 310 n
-庄股 310 n
-
-# 十一、主要财经网站与机构
-# 国内财经网站
-东方财富网 350 n
-同花顺财经 340 n
-财新网 340 n
-新浪财经 340 n
-第一财经 330 n
-金融界 330 n
-华尔街见闻 330 n
-每日经济新闻 330 n
-证券时报网 330 n
-财联社 330 n
-和讯网 320 n
-证券之星 320 n
-中国证券报 330 n
-上海证券报 330 n
-证券日报 320 n
-界面新闻 320 n
-澎湃新闻财经 320 n
-腾讯财经 320 n
-网易财经 320 n
-凤凰财经 320 n
-# 国际财经媒体
-彭博社 350 n
-路透社 350 n
-金融时报 340 n
-华尔街日报 340 n
-雅虎财经 320 n
-CNBC 320 n
-路透财经 330 n
-彭博财经 330 n
-英国金融时报 330 n
-美国消费者新闻与商业频道 320 n
-日经新闻 320 n
-韩国经济新闻 310 n
-# 国际金融机构
-高盛集团 350 n
-摩根士丹利 350 n
-摩根大通 350 n
-瑞银集团 340 n
-汇丰银行 340 n
-野村证券 330 n
-贝莱德 350 n
-桥水基金 340 n
-黑石集团 340 n
-橡树资本 330 n
-花旗集团 330 n
-美银美林 330 n
-德意志银行 320 n
-瑞士信贷 320 n
-法国巴黎银行 320 n
-三菱日联金融集团 310 n
-# 国内外金融监管与交易机构
-中国证监会 350 n
-美联储 350 n
-英国金融行为管理局 330 n
-香港证监会 330 n
-纽约证券交易所 350 n
-香港交易所 340 n
-伦敦证券交易所 340 n
-芝商所集团 330 n
-泛欧证券交易所 330 n
-上海证券交易所 340 n
-深圳证券交易所 340 n
-北京证券交易所 330 n
-中国人民银行 350 n
-银保监会 340 n
-国家金融监督管理总局 340 n
-财政部 340 n
-发改委 330 n
-石油输出国组织 340 n
-国际能源署 330 n
-美国能源信息署 320 n
-世界银行 330 n
-国际货币基金组织 330 n
-# 国内核心金融机构
-中国工商银行 340 n
-中国建设银行 340 n
-中国农业银行 340 n
-中国银行 340 n
-交通银行 330 n
-招商银行 330 n
-兴业银行 320 n
-浦发银行 320 n
-中信证券 340 n
-华泰证券 330 n
-中金公司 330 n
-中信建投 330 n
-国泰君安 330 n
-广发证券 320 n
-东方证券 320 n
-南方基金 330 n
-易方达基金 330 n
-华夏基金 330 n
-嘉实基金 320 n
-博时基金 320 n
-
-# 十二、知名美股与中概股
-# 知名美股
-苹果 350 n
-Apple 340 n
-英伟达 350 n
-Nvidia 340 n
-特斯拉 350 n
-Tesla 340 n
-谷歌 340 n
-Alphabet 330 n
-亚马逊 340 n
-Amazon 330 n
-Meta Platforms 330 n
-Meta 330 n
-微软 350 n
-Microsoft 340 n
-甲骨文 320 n
-Oracle 310 n
-伯克希尔哈撒韦 320 n
-Berkshire Hathaway 310 n
-闪迪 300 n
-SanDisk 290 n
-高通 320 n
-Qualcomm 310 n
-英特尔 320 n
-Intel 310 n
-AMD 320 n
-超威半导体 310 n
-脸书 320 n
-Facebook 310 n
-推特 310 n
-Twitter 300 n
-Square 300 n
-Block 290 n
-PayPal 310 n
-贝宝 300 n
-星巴克 310 n
-Starbucks 300 n
-可口可乐 310 n
-Coca-Cola 300 n
-百事可乐 300 n
-PepsiCo 290 n
-沃尔玛 310 n
-Walmart 300 n
-家得宝 300 n
-Home Depot 290 n
-美国银行 310 n
-Bank of America 300 n
-# 知名中概股
-阿里巴巴 350 n
-Alibaba 340 n
-拼多多 340 n
-PDD 330 n
-蔚来汽车 330 n
-NIO 320 n
-理想汽车 330 n
-LI 320 n
-腾讯音乐 320 n
-TME 310 n
-唯品会 310 n
-VIPS 300 n
-富途控股 310 n
-FUTU 300 n
-老虎证券 310 n
-TIGR 300 n
-万物新生 300 n
-RERE 290 n
-涂鸦智能 300 n
-TUYA 290 n
-百济神州 320 n
-BeiGene 310 n
-百度集团 340 n
-Baidu 330 n
-文远知行 300 n
-WRD 290 n
-贝壳 310 n
-KE 300 n
-新氧 300 n
-SY 290 n
-京东 340 n
-JD.com 330 n
-京东物流 320 n
-JD Logistics 310 n
-腾讯控股 350 n
-Tencent Holdings 340 n
-美团 340 n
-Meituan 330 n
-小米集团 340 n
-Xiaomi Group 330 n
-快手 330 n
-Kuaishou 320 n
-字节跳动 340 n
-ByteDance 330 n
-滴滴 330 n
-DiDi 320 n
-携程 320 n
-Ctrip 310 n
-去哪儿 310 n
-Qunar 300 n
-同程旅行 300 n
-LY.com 290 n
-途牛 300 n
-Tuniu 290 n
-哔哩哔哩 320 n
-Bilibili 310 n
-爱奇艺 320 n
-iQiyi 310 n
-优酷 310 n
-Youku 300 n
-芒果超媒 310 n
-Mango TV 300 n
-网易 330 n
-NetEase 320 n
-新浪 320 n
-Sina 310 n
-微博 320 n
-Weibo 310 n
-知乎 310 n
-Zhihu 300 n
-小红书 310 n
-Xiaohongshu 300 n
-商汤科技 310 n
-SenseTime 300 n
-旷视科技 300 n
-Megvii 290 n
-云从科技 300 n
-Cloudwalk 290 n
-依图科技 300 n
-Yitu 290 n
-药明生物 320 n
-WuXi Biologics 310 n
-康希诺 310 n
-CanSino Biologics 300 n
-智飞生物 310 n
-Innovax 300 n
-CATL 340 n
-BYD 330 n
-小鹏汽车 330 n
-Xpeng 320 n
-哪吒汽车 310 n
-Nezha Auto 300 n
-零跑汽车 310 n
-Leapmotor 300 n
-极氪 310 n
-ZEEKR 300 n
-岚图汽车 300 n
-VOYAH 290 n
-华为 350 n
-Huawei 340 n
-荣耀 330 n
-Honor 320 n
-OPPO 330 n
-vivo 330 n
-一加 310 n
-OnePlus 300 n
-真我 310 n
-realme 300 n
-传音控股 310 n
-Transsion 300 n
-
-# 十三、十五五规划重点领域
-# 核心战略方向
-新质生产力 350 n
-科技自立自强 350 n
-全要素生产率 340 n
-高质量发展 340 n
-中国式现代化 340 n
-共同富裕 330 n
-区域协调发展 330 n
-城乡融合发展 330 n
-国家安全体系 330 n
-双循环 330 n
-高水平对外开放 320 n
-# 科技创新与数字经济
-量子科技 340 n
-脑机接口 340 n
-具身智能 340 n
-第六代移动通信 340 n
-生成式AI 340 n
-通用人工智能 330 n
-工业母机 340 n
-集成电路 340 n
-高端算力 330 n
-数据要素 340 n
-数字基础设施 330 n
-智能制造 340 n
-服务型制造 320 n
-绿色制造 320 n
-# 能源与绿色转型
-新型能源体系 340 n
-氢能 340 n
-核聚变能 330 n
-可再生能源 330 n
-风电 330 n
-生物质能 320 n
-碳排放双控 340 n
-碳达峰 330 n
-碳中和 330 n
-绿色低碳 330 n
-循环经济 320 n
-节能环保 320 n
-碳交易 320 n
-# 高端制造与新兴产业
-航空航天 340 n
-新材料 340 n
-生物制造 330 n
-生物医药 330 n
-基因编辑 320 n
-合成生物学 320 n
-智能网联汽车 330 n
-机器人 330 n
-海洋工程 320 n
-核电 320 n
-高端装备 330 n
-# 乡村振兴与农业现代化
-乡村振兴 340 n
-农业机械化 330 n
-智慧农业 330 n
-现代农业 320 n
-粮食安全 330 n
-农产品深加工 320 n
-农村电商 320 n
-乡村旅游 310 n
-# 对外开放与贸易升级
-跨境电商 330 n
-自贸试验区 320 n
-海南自贸港 320 n
-一带一路 330 n
-服务贸易 320 n
-数字贸易 320 n
-跨境金融 320 n
-外资准入 310 n
-# 社会民生与公共服务
-教育强国 320 n
-健康中国 320 n
-养老服务 310 n
-医疗保障 310 n
-保障性住房 310 n
-公共卫生 320 n
-文化强国 320 n
-体育强国 310 n
+止损委托 330 n

backend/data/data/dict/user.txt

@@ -1,13 +1,185 @@
-公司 1 n
-国家 1 n
-国际 1 n
-会议 1 n
-市场 1 n
-经济 1 n
-技术 1 n
-记者 1 n
-时间 1 n
-项目 1 n
-问题 1 n
-企业 1 n
-财联社 1 n
+# 补充：热点概念与板块（Jieba/gse兼容格式）
+# 权重说明：核心热点500-700分，事件类400分，负权重词汇按需求保留
+
+# 一、负权重低优先级词汇（减少无差别匹配干扰）
+公司 -0.1 n
+国家 -0.1 n
+国际 -0.1 n
+会议 -0.1 n
+市场 -0.1 n
+经济 -0.1 n
+技术 -0.1 n
+记者 -0.1 n
+时间 -0.1 n
+项目 -0.1 n
+问题 -0.1 n
+企业 -0.1 n
+财联社 -0.1 n
+上涨 -0.1 v
+下跌 -0.1 v
+期货 -0.1 n
+跌幅 -0.1 n
+跌超 -0.1 adj
+股票 -0.1 n
+基金 -0.1 n
+电讯 -0.1 n
+建筑 -0.1 n
+平开 -0.1 n
+保险 -0.1 n
+行业 -0.1 n
+其他 -0.1 n
+
+# 二、核心热点概念（700分，最高优先级）
+比特币 700 n
+摩尔线程 700 n
+摩尔线程概念 700 n
+AI算力 700 n
+生成式AI 700 n
+量子计算 700 n
+脑机接口 700 n
+6G通信 700 n
+人形机器人 700 n
+固态电池 700 n
+ChatGPT概念 700 n
+Web3.0 700 n
+元宇宙 700 n
+数字孪生 700 n
+量子通信 700 n
+
+# 三、重点赛道板块（500分，高优先级）
+冰雪旅游 500 n
+特高压 500 n
+跨境电商 500 n
+新能源汽车 500 n
+机器人 500 n
+具身智能 500 n
+油气 500 n
+商业航天 500 n
+光伏储能 500 n
+锂电材料 500 n
+半导体设备 500 n
+集成电路 500 n
+创新药 500 n
+CXO 500 n
+医疗器械 500 n
+数字经济 500 n
+数字货币 500 n
+区块链 500 n
+低空经济 500 n
+工业互联网 500 n
+物联网 500 n
+5G应用 500 n
+充电桩 500 n
+氢能源 500 n
+核聚变 500 n
+工业母机 500 n
+新材料 500 n
+生物制造 500 n
+智能网联汽车 500 n
+乡村振兴 500 n
+国企改革 500 n
+央企重组 500 n
+跨境金融 500 n
+自贸港 500 n
+一带一路 500 n
+绿色低碳 500 n
+碳交易 500 n
+数据要素 500 n
+数字基建 500 n
+东数西算 500 n
+国产替代 500 n
+信创 500 n
+网络安全 500 n
+算力网络 500 n
+边缘计算 500 n
+虚拟现实 500 n
+增强现实 500 n
+智能穿戴 500 n
+智能家居 500 n
+车联网 500 n
+激光雷达 500 n
+氮化镓 500 n
+碳化硅 500 n
+第三代半导体 500 n
+EDA工具 500 n
+光刻胶 500 n
+芯片设计 500 n
+封装测试 500 n
+储能电池 500 n
+钠离子电池 500 n
+氢燃料电池 500 n
+光伏组件 500 n
+风电设备 500 n
+特高压设备 500 n
+电力物联网 500 n
+智能电网 500 n
+轨道交通 500 n
+航空航天 500 n
+海洋工程 500 n
+高端装备 500 n
+军工电子 500 n
+卫星互联网 500 n
+北斗导航 500 n
+国产大飞机 500 n
+生物医药 500 n
+基因测序 500 n
+疫苗 500 n
+医疗美容 500 n
+养老产业 500 n
+教育信息化 500 n
+体育产业 500 n
+文化创意 500 n
+旅游复苏 500 n
+预制菜 500 n
+白酒 500 n
+食品饮料 500 n
+家电下乡 500 n
+房地产复苏 500 n
+基建投资 500 n
+新型城镇化 500 n
+冷链物流 500 n
+快递物流 500 n
+跨境支付 500 n
+金融科技 500 n
+消费电子 500 n
+元宇宙基建 500 n
+数字藏品 500 n
+NFT 500 n
+绿色电力 500 n
+节能降碳 500 n
+抽水蓄能 500 n
+生物质能 500 n
+地热能 500 n
+潮汐能 500 n
+
+# 四、事件驱动型概念（400分，中优先级）
+俄乌冲突 400 n
+中东局势 400 n
+美联储加息 400 n
+降息预期 400 n
+贸易摩擦 400 n
+供应链重构 400 n
+能源危机 400 n
+粮食安全 400 n
+疫情复苏 400 n
+政策利好 400 n
+产业扶持 400 n
+技术突破 400 n
+并购重组 400 n
+IPO提速 400 n
+解禁潮 400 n
+北向资金流入 400 n
+南向资金流入 400 n
+主力资金异动 400 n
+行业景气度 400 n
+业绩预增 400 n
+商誉减值 400 n
+退市风险 400 n
+监管新规 400 n
+税收优惠 400 n
+补贴政策 400 n
+基建刺激 400 n
+消费刺激 400 n
+新能源补贴 400 n
+碳达峰政策 400 n
+碳中和目标 400 n

backend/data/market_news_api.go

@@ -8,6 +8,7 @@ import (
 	"go-stock/backend/logger"
 	"go-stock/backend/models"
 	"go-stock/backend/util"
+	"net/url"
 	"strconv"
 	"strings"
 	"time"
@@ -53,19 +54,23 @@ func (m MarketNewsApi) TelegraphList(crawlTimeOut int64) *[]models.Telegraph {
 		for _, v := range rollData {
 			news := v.(map[string]any)
 			ctime, _ := convertor.ToInt(news["ctime"])
-			dataTime := time.Unix(ctime, 0)
-			logger.SugaredLogger.Debugf("dataTime: %s", dataTime)
+			dataTime := time.Unix(ctime, 0).Local()
 			telegraph := models.Telegraph{
+				Title:           news["title"].(string),
 				Content:         news["content"].(string),
 				Time:            dataTime.Format("15:04:05"),
 				DataTime:        &dataTime,
 				Url:             news["shareurl"].(string),
 				Source:          "财联社电报",
-				IsRed:           GetLevel(news["level"].(string)),
+				IsRed:           (news["level"].(string)) != "C",
 				SentimentResult: AnalyzeSentiment(news["content"].(string)).Description,
 			}
 			cnt := int64(0)
-			db.Dao.Model(telegraph).Where("time=? and content=?", telegraph.Time, telegraph.Content).Count(&cnt)
+			if telegraph.Title == "" {
+				db.Dao.Model(telegraph).Where("content=?", telegraph.Content).Count(&cnt)
+			} else {
+				db.Dao.Model(telegraph).Where("title=?", telegraph.Title).Count(&cnt)
+			}
 			if cnt > 0 {
 				continue
 			}
@@ -96,9 +101,6 @@ func (m MarketNewsApi) TelegraphList(crawlTimeOut int64) *[]models.Telegraph {
 
 	return &telegraphs
 }
-func GetLevel(s string) bool {
-	return s > "C"
-}
 
 func (m MarketNewsApi) GetNewTelegraph(crawlTimeOut int64) *[]models.Telegraph {
 	url := "https://www.cls.cn/telegraph"
@@ -167,9 +169,9 @@ func (m MarketNewsApi) GetNewTelegraph(crawlTimeOut int64) *[]models.Telegraph {
 func (m MarketNewsApi) GetNewsList(source string, limit int) *[]*models.Telegraph {
 	news := &[]*models.Telegraph{}
 	if source != "" {
-		db.Dao.Model(news).Preload("TelegraphTags").Where("source=?", source).Order("id desc").Limit(limit).Find(news)
+		db.Dao.Model(news).Preload("TelegraphTags").Where("source=?", source).Order("data_time desc,time desc").Limit(limit).Find(news)
 	} else {
-		db.Dao.Model(news).Preload("TelegraphTags").Order("id desc").Limit(limit).Find(news)
+		db.Dao.Model(news).Preload("TelegraphTags").Order("data_time desc,time desc").Limit(limit).Find(news)
 	}
 	for _, item := range *news {
 		tags := &[]models.Tags{}
@@ -188,9 +190,9 @@ func (m MarketNewsApi) GetNewsList2(source string, limit int) *[]*models.Telegra
 	NewMarketNewsApi().TelegraphList(30)
 	news := &[]*models.Telegraph{}
 	if source != "" {
-		db.Dao.Model(news).Preload("TelegraphTags").Where("source=?", source).Order("id desc,is_red desc").Limit(limit).Find(news)
+		db.Dao.Model(news).Preload("TelegraphTags").Where("source=?", source).Order("data_time desc,is_red desc").Limit(limit).Find(news)
 	} else {
-		db.Dao.Model(news).Preload("TelegraphTags").Order("id desc,is_red desc").Limit(limit).Find(news)
+		db.Dao.Model(news).Preload("TelegraphTags").Order("data_time desc,is_red desc").Limit(limit).Find(news)
 	}
 	for _, item := range *news {
 		tags := &[]models.Tags{}
@@ -209,9 +211,32 @@ func (m MarketNewsApi) GetNewsList2(source string, limit int) *[]*models.Telegra
 func (m MarketNewsApi) GetTelegraphList(source string) *[]*models.Telegraph {
 	news := &[]*models.Telegraph{}
 	if source != "" {
-		db.Dao.Model(news).Preload("TelegraphTags").Where("source=?", source).Order("id desc").Limit(20).Find(news)
+		db.Dao.Model(news).Preload("TelegraphTags").Where("source=?", source).Order("data_time desc,time desc").Limit(50).Find(news)
 	} else {
-		db.Dao.Model(news).Preload("TelegraphTags").Order("id desc").Limit(20).Find(news)
+		db.Dao.Model(news).Preload("TelegraphTags").Order("data_time desc,time desc").Limit(50).Find(news)
+	}
+	for _, item := range *news {
+		tags := &[]models.Tags{}
+		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) 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{}
@@ -267,7 +292,12 @@ func (m MarketNewsApi) GetSinaNews(crawlTimeOut uint) *[]models.Telegraph {
 			data := item.(map[string]any)
 			//logger.SugaredLogger.Infof("%s:%s", data["create_time"], data["rich_text"])
 			telegraph.Content = data["rich_text"].(string)
+			telegraph.Title = strutil.SubInBetween(data["rich_text"].(string), "【", "】")
 			telegraph.Time = strings.Split(data["create_time"].(string), " ")[1]
+			dataTime, _ := time.ParseInLocation("2006-01-02 15:04:05", data["create_time"].(string), time.Local)
+			if &dataTime != nil {
+				telegraph.DataTime = &dataTime
+			}
 			tags := data["tag"].([]any)
 			telegraph.SubjectTags = lo.Map(tags, func(tagItem any, index int) string {
 				name := tagItem.(map[string]any)["name"].(string)
@@ -286,7 +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("time=? and source=?", telegraph.Time, telegraph.Source).Count(&cnt)
+				if telegraph.Title == "" {
+					db.Dao.Model(telegraph).Where("content=?", telegraph.Content).Count(&cnt)
+				} else {
+					db.Dao.Model(telegraph).Where("title=?", telegraph.Title).Count(&cnt)
+				}
 				if cnt == 0 {
 					db.Dao.Create(&telegraph)
 					telegraphs = append(telegraphs, telegraph)
@@ -640,15 +674,19 @@ func (m MarketNewsApi) EMDictCode(code string, cache *freecache.Cache) []any {
 	return respMap["data"].([]any)
 }
 
-func (m MarketNewsApi) TradingViewNews() *[]models.TVNews {
+func (m MarketNewsApi) TradingViewNews() *[]models.Telegraph {
 	client := resty.New()
 	config := GetSettingConfig()
 	if config.HttpProxyEnabled && config.HttpProxy != "" {
 		client.SetProxy(config.HttpProxy)
 	}
 	TVNews := &[]models.TVNews{}
-	url := "https://news-mediator.tradingview.com/news-flow/v2/news?filter=lang:zh-Hans&filter=provider:panews,reuters&client=screener&streaming=false"
-	resp, err := client.SetTimeout(time.Duration(5)*time.Second).R().
+	news := &[]models.Telegraph{}
+	//	url := "https://news-mediator.tradingview.com/news-flow/v2/news?filter=lang:zh-Hans&filter=area:WLD&client=screener&streaming=false"
+	//url := "https://news-mediator.tradingview.com/news-flow/v2/news?filter=area%3AWLD&filter=lang%3Azh-Hans&client=screener&streaming=false"
+	url := "https://news-mediator.tradingview.com/news-flow/v2/news?filter=lang%3Azh-Hans&client=screener&streaming=false"
+
+	resp, err := client.SetTimeout(time.Duration(15)*time.Second).R().
 		SetHeader("Host", "news-mediator.tradingview.com").
 		SetHeader("Origin", "https://cn.tradingview.com").
 		SetHeader("Referer", "https://cn.tradingview.com/").
@@ -656,19 +694,85 @@ func (m MarketNewsApi) TradingViewNews() *[]models.TVNews {
 		Get(url)
 	if err != nil {
 		logger.SugaredLogger.Errorf("TradingViewNews err:%s", err.Error())
-		return TVNews
+		return news
 	}
 	respMap := map[string]any{}
 	err = json.Unmarshal(resp.Body(), &respMap)
 	if err != nil {
-		return TVNews
+		return news
 	}
 	items, err := json.Marshal(respMap["items"])
 	if err != nil {
-		return TVNews
+		return news
 	}
 	json.Unmarshal(items, TVNews)
-	return TVNews
+
+	for i, a := range *TVNews {
+		if i > 10 {
+			break
+		}
+		detail := NewMarketNewsApi().TradingViewNewsDetail(a.Id)
+		dataTime := time.Unix(int64(a.Published), 0).Local()
+		description := ""
+		sentimentResult := ""
+		if detail != nil {
+			description = detail.ShortDescription
+			sentimentResult = AnalyzeSentiment(description).Description
+		}
+		if a.Title == "" {
+			continue
+		}
+		telegraph := &models.Telegraph{
+			Title:           a.Title,
+			Content:         description,
+			DataTime:        &dataTime,
+			IsRed:           false,
+			Time:            dataTime.Format("15:04:05"),
+			Source:          "外媒",
+			Url:             fmt.Sprintf("https://cn.tradingview.com/news/%s", a.Id),
+			SentimentResult: sentimentResult,
+		}
+		cnt := int64(0)
+		if telegraph.Title == "" {
+			db.Dao.Model(telegraph).Where("content=?", telegraph.Content).Count(&cnt)
+		} else {
+			db.Dao.Model(telegraph).Where("title=?", telegraph.Title).Count(&cnt)
+		}
+		if cnt > 0 {
+			continue
+		}
+		db.Dao.Model(&models.Telegraph{}).Where("time=? and title=? and source=?", telegraph.Time, telegraph.Title, "外媒").FirstOrCreate(&telegraph)
+		*news = append(*news, *telegraph)
+	}
+	return news
+}
+func (m MarketNewsApi) TradingViewNewsDetail(id string) *models.TVNewsDetail {
+	//https://news-headlines.tradingview.com/v3/story?id=panews%3A9be7cf057e3f9%3A0&lang=zh-Hans
+	newsDetail := &models.TVNewsDetail{}
+	newsUrl := fmt.Sprintf("https://news-headlines.tradingview.com/v3/story?id=%s&lang=zh-Hans", url.QueryEscape(id))
+
+	client := resty.New()
+	config := GetSettingConfig()
+	if config.HttpProxyEnabled && config.HttpProxy != "" {
+		client.SetProxy(config.HttpProxy)
+	}
+	request := client.SetTimeout(time.Duration(3) * time.Second).R()
+	_, err := request.
+		SetHeader("Host", "news-headlines.tradingview.com").
+		SetHeader("Origin", "https://cn.tradingview.com").
+		SetHeader("Referer", "https://cn.tradingview.com/").
+		SetHeader("User-Agent", "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:146.0) Gecko/20100101 Firefox/146.0").
+		//SetHeader("TE", "trailers").
+		//SetHeader("Priority", "u=4").
+		//SetHeader("Connection", "keep-alive").
+		SetResult(newsDetail).
+		Get(newsUrl)
+	if err != nil {
+		logger.SugaredLogger.Errorf("TradingViewNewsDetail err:%s", err.Error())
+		return newsDetail
+	}
+	logger.SugaredLogger.Infof("resp:%+v", newsDetail)
+	return newsDetail
 }
 
 func (m MarketNewsApi) XUEQIUHotStock(size int, marketType string) *[]models.HotItem {
@@ -961,7 +1065,8 @@ func (m MarketNewsApi) ReutersNew() *models.ReutersNews {
 		client.SetProxy(config.HttpProxy)
 	}
 	news := &models.ReutersNews{}
-	url := "https://www.reuters.com/pf/api/v3/content/fetch/articles-by-section-alias-or-id-v1?query={\"arc-site\":\"reuters\",\"fetch_type\":\"collection\",\"offset\":0,\"section_id\":\"/world/\",\"size\":9,\"uri\":\"/world/\",\"website\":\"reuters\"}&d=300&mxId=00000000&_website=reuters"
+	//url := "https://www.reuters.com/pf/api/v3/content/fetch/articles-by-section-alias-or-id-v1?query={\"arc-site\":\"reuters\",\"fetch_type\":\"collection\",\"offset\":0,\"section_id\":\"/world/\",\"size\":9,\"uri\":\"/world/\",\"website\":\"reuters\"}&d=300&mxId=00000000&_website=reuters"
+	url := "https://www.reuters.com/pf/api/v3/content/fetch/recent-stories-by-sections-v1?query=%7B%22section_ids%22%3A%22%2Fworld%2F%22%2C%22size%22%3A4%2C%22website%22%3A%22reuters%22%7D&d=334&mxId=00000000&_website=reuters"
 	_, err := client.SetTimeout(time.Duration(5)*time.Second).R().
 		SetHeader("Host", "www.reuters.com").
 		SetHeader("Origin", "https://www.reuters.com").
@@ -1031,9 +1136,9 @@ func (m MarketNewsApi) CailianpressWeb(searchWords string) *models.CailianpressW
 func (m MarketNewsApi) GetNews24HoursList(source string, limit int) *[]*models.Telegraph {
 	news := &[]*models.Telegraph{}
 	if source != "" {
-		db.Dao.Model(news).Preload("TelegraphTags").Where("source=? and created_at>?", source, time.Now().Add(-24*time.Hour)).Order("id desc,is_red desc").Limit(limit).Find(news)
+		db.Dao.Model(news).Preload("TelegraphTags").Where("source=? and created_at>?", source, time.Now().Add(-24*time.Hour)).Order("data_time desc,is_red desc").Limit(limit).Find(news)
 	} else {
-		db.Dao.Model(news).Preload("TelegraphTags").Where("created_at>?", time.Now().Add(-24*time.Hour)).Order("id desc,is_red desc").Limit(limit).Find(news)
+		db.Dao.Model(news).Preload("TelegraphTags").Where("created_at>?", time.Now().Add(-24*time.Hour)).Order("data_time desc,is_red desc").Limit(limit).Find(news)
 	}
 	// 内容去重
 	uniqueNews := make([]*models.Telegraph, 0)

backend/data/market_news_api_test.go

@@ -6,11 +6,14 @@ import (
 	"go-stock/backend/logger"
 	"go-stock/backend/models"
 	"go-stock/backend/util"
+	"path/filepath"
 	"strings"
 	"testing"
 
 	"github.com/coocood/freecache"
 	"github.com/duke-git/lancet/v2/random"
+	"github.com/duke-git/lancet/v2/strutil"
+	"github.com/go-resty/resty/v2"
 	"github.com/tidwall/gjson"
 )
 
@@ -21,7 +24,12 @@ import (
 
 func TestGetSinaNews(t *testing.T) {
 	db.Init("../../data/stock.db")
-	NewMarketNewsApi().GetSinaNews(30)
+	InitAnalyzeSentiment()
+	news := NewMarketNewsApi().GetSinaNews(30)
+	for i, telegraph := range *news {
+		logger.SugaredLogger.Debugf("key: %+v, value: %+v", i, telegraph)
+
+	}
 	//NewMarketNewsApi().GetNewTelegraph(30)
 
 }
@@ -84,12 +92,13 @@ func TestStockResearchReport(t *testing.T) {
 
 func TestIndustryResearchReport(t *testing.T) {
 	db.Init("../../data/stock.db")
-	resp := NewMarketNewsApi().IndustryResearchReport("456", 7)
+	resp := NewMarketNewsApi().IndustryResearchReport("", 7)
 	for _, a := range resp {
 		logger.SugaredLogger.Debugf("value: %+v", a)
 		data := a.(map[string]any)
 		logger.SugaredLogger.Debugf("value: %s  infoCode:%s", data["title"], data["infoCode"])
-		NewMarketNewsApi().GetIndustryReportInfo(data["infoCode"].(string))
+		logger.SugaredLogger.Debugf("url: https://pdf.dfcfw.com/pdf/H3_%s_1.pdf", data["infoCode"])
+		//NewMarketNewsApi().GetIndustryReportInfo(data["infoCode"].(string))
 	}
 }
 
@@ -122,10 +131,8 @@ func TestEMDictCode(t *testing.T) {
 
 func TestTradingViewNews(t *testing.T) {
 	db.Init("../../data/stock.db")
-	resp := NewMarketNewsApi().TradingViewNews()
-	for _, a := range *resp {
-		logger.SugaredLogger.Debugf("value: %+v", a)
-	}
+	InitAnalyzeSentiment()
+	NewMarketNewsApi().TradingViewNews()
 }
 
 func TestXUEQIUHotStock(t *testing.T) {
@@ -135,6 +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) {
@@ -228,7 +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)
@@ -247,5 +256,41 @@ func TestGetNewsList2(t *testing.T) {
 
 func TestTelegraphList(t *testing.T) {
 	db.Init("../../data/stock.db")
+	InitAnalyzeSentiment()
 	NewMarketNewsApi().TelegraphList(30)
 }
+
+func TestProxy(t *testing.T) {
+	response, err := resty.New().
+		SetProxy("http://go-stock:778d4ff2-73f3-4d56-b3c3-d9a730a06ae3@stock.sparkmemory.top:8888").
+		R().
+		SetHeader("Host", "news-mediator.tradingview.com").
+		SetHeader("Origin", "https://cn.tradingview.com").
+		SetHeader("Referer", "https://cn.tradingview.com/").
+		SetHeader("User-Agent", "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:140.0) Gecko/20100101 Firefox/140.0").
+		//Get("https://api.ipify.org")
+		Get("https://news-mediator.tradingview.com/news-flow/v2/news?filter=lang%3Azh-Hans&client=screener&streaming=false&user_prostatus=non_pro")
+	if err != nil {
+		logger.SugaredLogger.Error(err)
+		return
+	}
+	logger.SugaredLogger.Debugf("value: %s", response.String())
+
+}
+
+func TestNtfy(t *testing.T) {
+
+	//attach := "http://go-stock.sparkmemory.top/%E5%88%86%E6%9E%90%E6%8A%A5%E5%91%8A/%E8%B5%84%E9%87%91%E6%B5%81%E5%90%91/2025-12/AI%EF%BC%9A%E5%B8%82%E5%9C%BA%E5%88%86%E6%9E%90%E6%8A%A5%E5%91%8A-[2025.12.11_12.02.01].html"
+	//post, err := resty.New().SetBaseURL("https://go-stock.sparkmemory.top:16667").R().
+	//	SetHeader("Filename", "AI：市场分析报告-[2025.12.11_12.02.01].html").
+	//	SetHeader("Icon", "https://go-stock.sparkmemory.top/appicon.png").
+	//	SetHeader("Attach", attach).
+	//	SetBody("AI：市场分析报告-[2025.12.11_12.02.01]").Post("/go-stock")
+	//if err != nil {
+	//	logger.SugaredLogger.Error(err)
+	//	return
+	//}
+	//logger.SugaredLogger.Debugf("value: %s", post.String())
+	logger.SugaredLogger.Debugf("value: %s", filepath.Base("https://go-stock.sparkmemory.top/%E5%88%86%E6%9E%90%E6%8A%A5%E5%91%8A/2025/12/11/%E5%B8%82%E5%9C%BA%E8%B5%84%E8%AE%AF[%E5%B8%82%E5%9C%BA%E8%B5%84%E8%AE%AF]-(2025-12-11)AI%E5%88%86%E6%9E%90%E7%BB%93%E6%9E%9C_20251211131509.html"))
+	logger.SugaredLogger.Debugf("value: %s", strutil.After("/data/go-stock-site/docs/分析报告/2025/12/09/市场资讯[市场资讯]-(2025-12-09)AI分析结果.md", "/data/go-stock-site/docs/"))
+}

backend/data/openai_api_test.go

@@ -9,6 +9,7 @@ import (
 
 func TestNewDeepSeekOpenAiConfig(t *testing.T) {
 	db.Init("../../data/stock.db")
+	InitAnalyzeSentiment()
 
 	var tools []Tool
 	tools = append(tools, Tool{
@@ -16,7 +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{
@@ -29,9 +30,9 @@ func TestNewDeepSeekOpenAiConfig(t *testing.T) {
 		},
 	})
 
-	ai := NewDeepSeekOpenAi(context.TODO(), 1)
+	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 {
@@ -64,6 +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"
 )
 
@@ -21,6 +24,13 @@ func NewSearchStockApi(words string) *SearchStockApi {
 	return &SearchStockApi{words: words}
 }
 func (s SearchStockApi) SearchStock(pageSize int) map[string]any {
+	qgqpBId := NewSettingsApi().Config.QgqpBId
+	if qgqpBId == "" {
+		return map[string]any{
+			"code":    -1,
+			"message": "请先获取东财用户标识（qgqp_b_id）：打开浏览器,访问东财网站，按F12打开开发人员工具-》网络面板，随便点开一个请求，复制请求cookie中qgqp_b_id对应的值。保存到设置中的东财唯一标识输入框",
+		}
+	}
 	url := "https://np-tjxg-g.eastmoney.com/api/smart-tag/stock/v3/pw/search-code"
 	resp, err := resty.New().SetTimeout(time.Duration(30)*time.Second).R().
 		SetHeader("Host", "np-tjxg-g.eastmoney.com").
@@ -32,22 +42,70 @@ func (s SearchStockApi) SearchStock(pageSize int) map[string]any {
 				"keyWord": "%s",
 				"pageSize": %d,
 				"pageNo": 1,
-				"fingerprint": "02efa8944b1f90fbfe050e1e695a480d",
+				"fingerprint": "%s",
 				"gids": [],
 				"matchWord": "",
 				"timestamp": "%d",
 				"shareToGuba": false,
-				"requestId": "RMd3Y76AJI98axPvdhdbKvbBDVwLlUK61761559950168",
+				"requestId": "",
 				"needCorrect": true,
 				"removedConditionIdList": [],
-				"xcId": "xc0d61279aad33008260",
+				"xcId": "",
 				"ownSelectAll": false,
 				"dxInfo": [],
 				"extraCondition": ""
-				}`, s.words, pageSize, time.Now().Unix())).Post(url)
+				}`, s.words, pageSize, qgqpBId, time.Now().Unix())).Post(url)
 	if err != nil {
 		logger.SugaredLogger.Errorf("SearchStock-err:%+v", err)
-		return map[string]any{}
+		return map[string]any{
+			"code":    -1,
+			"message": err.Error(),
+		}
+	}
+	respMap := map[string]any{}
+	json.Unmarshal(resp.Body(), &respMap)
+	//logger.SugaredLogger.Infof("resp:%+v", respMap["data"])
+	return respMap
+}
+
+func (s SearchStockApi) SearchBk(pageSize int) map[string]any {
+	url := "https://np-tjxg-b.eastmoney.com/api/smart-tag/bkc/v3/pw/search-code"
+	qgqpBId := NewSettingsApi().Config.QgqpBId
+	if qgqpBId == "" {
+		return map[string]any{
+			"code":    -1,
+			"message": "请先获取东财用户标识（qgqp_b_id）：打开浏览器,访问东财网站，按F12打开开发人员工具-》网络面板，随便点开一个请求，复制请求cookie中qgqp_b_id对应的值。保存到设置中的东财唯一标识输入框",
+		}
+	}
+	resp, err := resty.New().SetTimeout(time.Duration(30)*time.Second).R().
+		SetHeader("Host", "np-tjxg-g.eastmoney.com").
+		SetHeader("Origin", "https://xuangu.eastmoney.com").
+		SetHeader("Referer", "https://xuangu.eastmoney.com/").
+		SetHeader("User-Agent", "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:145.0) Gecko/20100101 Firefox/145.0").
+		SetHeader("Content-Type", "application/json").
+		SetBody(fmt.Sprintf(`{
+				"keyWord": "%s",
+				"pageSize": %d,
+				"pageNo": 1,
+				"fingerprint": "%s",
+				"gids": [],
+				"matchWord": "",
+				"timestamp": "%d",
+				"shareToGuba": false,
+				"requestId": "",
+				"needCorrect": true,
+				"removedConditionIdList": [],
+				"xcId": "",
+				"ownSelectAll": false,
+				"dxInfo": [],
+				"extraCondition": ""
+				}`, s.words, pageSize, qgqpBId, time.Now().Unix())).Post(url)
+	if err != nil {
+		logger.SugaredLogger.Errorf("SearchStock-err:%+v", err)
+		return map[string]any{
+			"code":    -1,
+			"message": err.Error(),
+		}
 	}
 	respMap := map[string]any{}
 	json.Unmarshal(resp.Body(), &respMap)
@@ -71,3 +129,35 @@ 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

@@ -4,15 +4,28 @@ import (
 	"encoding/json"
 	"go-stock/backend/db"
 	"go-stock/backend/logger"
+	"go-stock/backend/models"
+	"go-stock/backend/util"
+	"math"
 	"testing"
 
 	"github.com/duke-git/lancet/v2/convertor"
+	"github.com/duke-git/lancet/v2/mathutil"
+	"github.com/duke-git/lancet/v2/random"
 )
 
 func TestSearchStock(t *testing.T) {
 	db.Init("../../data/stock.db")
 
-	res := NewSearchStockApi("量比大于2，基本面优秀，2025年三季报已披露，主力连续3日净流入，非创业板非科创板非ST").SearchStock(20)
+	e := convertor.ToString(math.Floor(float64(9*random.RandFloat(0, 1, 12) + 1)))
+	for i := 0; i < 19; i++ {
+		e += convertor.ToString(math.Floor(float64(9 * random.RandFloat(0, 1, 12))))
+	}
+	logger.SugaredLogger.Infof("e:%s", e)
+
+	//res := NewSearchStockApi("量比大于2，基本面优秀，2025年三季报已披露，主力连续3日净流入，非创业板非科创板非ST").SearchStock(20)
+	res := NewSearchStockApi("今日涨幅前5的概念板块").SearchBk(50)
+
 	logger.SugaredLogger.Infof("res:%+v", res)
 	data := res["data"].(map[string]any)
 	result := data["result"].(map[string]any)
@@ -52,10 +65,25 @@ 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

@@ -37,6 +37,7 @@ type Settings struct {
 	HttpProxy              string `json:"httpProxy"`
 	HttpProxyEnabled       bool   `json:"httpProxyEnabled"`
 	EnableAgent            bool   `json:"enableAgent"`
+	QgqpBId                string `json:"qgqpBId" gorm:"column:qgqp_b_id"`
 }
 
 func (receiver Settings) TableName() string {
@@ -44,16 +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 {
@@ -108,6 +111,7 @@ func UpdateConfig(s *SettingConfig) string {
 			"http_proxy":                 s.HttpProxy,
 			"http_proxy_enabled":         s.HttpProxyEnabled,
 			"enable_agent":               s.EnableAgent,
+			"qgqp_b_id":                  s.QgqpBId,
 		})
 
 		//更新AiConfig
@@ -161,13 +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
@@ -196,12 +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)
@@ -218,7 +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"
 	}
 
@@ -1484,11 +1485,11 @@ func (receiver StockDataApi) getDCStockInfo(market string, page, pageSize int) {
 
 	url := "https://push2.eastmoney.com/api/qt/clist/get?np=1&fltt=1&invt=2&cb=data&fs=%s&fields=f12,f13,f14,f1,f2,f4,f3,f152,f5,f6,f7,f15,f18,f16,f17,f10,f8,f9,f23,f100,f265&fid=f3&pn=%d&pz=%d&po=1&dect=1&wbp2u=|0|0|0|web&_=%d"
 	sprintfUrl := fmt.Sprintf(url, fs, page, pageSize, time.Now().UnixMilli())
-	logger.SugaredLogger.Infof("url:%s", sprintfUrl)
+	logger.SugaredLogger.Infof("page:%d  url:%s", page, sprintfUrl)
 	resp, err := receiver.client.SetTimeout(time.Duration(receiver.config.CrawlTimeOut)*time.Second).R().
 		SetHeader("Host", "push2.eastmoney.com").
 		SetHeader("Referer", "https://quote.eastmoney.com/center/gridlist.html").
-		SetHeader("User-Agent", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36 Edg/119.0.0.0").
+		SetHeader("User-Agent", "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:146.0) Gecko/20100101 Firefox/146.0").
 		Get(sprintfUrl)
 	if err != nil {
 		logger.SugaredLogger.Errorf("err:%s", err.Error())
@@ -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

@@ -121,10 +121,10 @@ func TestGetHKStockInfo(t *testing.T) {
 	//NewStockDataApi().GetSinaHKStockInfo()
 	//m:105,m:106,m:107  //美股
 	//m:128+t:3,m:128+t:4,m:128+t:1,m:128+t:2 //港股
-	//287  224 605
-	for i := 1; i <= 605; i++ {
-		NewStockDataApi().getDCStockInfo("us", i, 20)
-		time.Sleep(time.Duration(random.RandInt(1, 3)) * time.Second)
+	//274  224 605
+	for i := 197; i <= 274; i++ {
+		NewStockDataApi().getDCStockInfo("", i, 20)
+		time.Sleep(time.Duration(random.RandInt(2, 5)) * time.Second)
 	}
 }
 
@@ -195,7 +195,7 @@ func TestParseFullSingleStockData(t *testing.T) {
 func TestNewStockDataApi(t *testing.T) {
 	db.Init("../../data/stock.db")
 	stockDataApi := NewStockDataApi()
-	datas, _ := stockDataApi.GetStockCodeRealTimeData("sh600859", "sh600745", "gb_tsla", "hk09660", "hk00700")
+	datas, _ := stockDataApi.GetStockCodeRealTimeData("sz002352", "sh600859", "sh600745", "gb_tsla", "hk09660", "hk00700")
 	for _, data := range *datas {
 		t.Log(data)
 	}
@@ -270,15 +270,30 @@ func TestName(t *testing.T) {
 	db.Init("../../data/stock.db")
 
 	stockBasics := &[]StockBasic{}
-	resty.New().R().
+	resty.New().SetProxy("").R().
 		SetHeader("user", "go-stock").
 		SetResult(stockBasics).
 		Get("http://8.134.249.145:18080/go-stock/stock_basic.json")
 
-	db.Dao.Unscoped().Model(&StockBasic{}).Where("1=1").Delete(&StockBasic{})
-	err := db.Dao.CreateInBatches(stockBasics, 400).Error
-	if err != nil {
-		t.Log(err.Error())
-	}
+	logger.SugaredLogger.Infof("%+v", stockBasics)
+	//db.Dao.Unscoped().Model(&StockBasic{}).Where("1=1").Delete(&StockBasic{})
+	//err := db.Dao.CreateInBatches(stockBasics, 400).Error
+	//if err != nil {
+	//	t.Log(err.Error())
+	//}
+
+}
+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

@@ -33,18 +33,19 @@ var (
 		"复苏": 2.0, "突破": 2.0, "创新高": 3.0, "回暖": 1.5, "上扬": 1.5,
 		"利好消息": 3.0, "收益增长": 2.5, "利润增长": 2.5, "业绩优异": 2.5,
 		"潜力股": 2.0, "绩优股": 2.0, "强势": 1.5, "走高": 1.5, "攀升": 1.5,
-		"大涨": 2.5, "飙升": 3.0, "井喷": 3.0, "爆发": 2.5, "暴涨": 3.0,
+		"大涨": 2.5, "飙升": 3.0, "井喷": 3.0, "暴涨": 3.0,
 	}
 
 	// 负面金融词汇及其权重
 	negativeFinanceWords = map[string]float64{
-		"跌": 1.0, "下跌": 2.0, "跌停": 3.0, "熊市": 3.0, "回调": 1.5, "新低": 2.5,
+		"跌": 2.0, "下跌": 2.0, "跌停": 3.0, "熊市": 3.0, "回调": 2.5, "新低": 2.5,
 		"利空": 2.5, "减持": 2.0, "卖出": 2.0, "看空": 2.0, "亏损": 2.5,
 		"下滑": 2.0, "萎缩": 2.0, "不及预期": 2.5, "疲软": 1.5, "恶化": 2.0,
-		"衰退": 2.0, "跌破": 2.0, "创新低": 3.0, "走弱": 1.5, "下挫": 1.5,
+		"衰退": 2.0, "跌破": 2.0, "创新低": 3.0, "走弱": 2.5, "下挫": 2.5,
 		"利空消息": 3.0, "收益下降": 2.5, "利润下滑": 2.5, "业绩不佳": 2.5,
-		"垃圾股": 2.0, "风险股": 2.0, "弱势": 1.5, "走低": 1.5, "缩量": 2.5,
-		"大跌": 2.5, "暴跌": 3.0, "崩盘": 3.0, "跳水": 3.0, "重挫": 3.0, "跌超": 2.5, "跌逾": 2.5,
+		"垃圾股": 2.0, "风险股": 2.0, "弱势": 2.5, "走低": 2.5, "缩量": 2.5,
+		"大跌": 2.5, "暴跌": 3.0, "崩盘": 3.0, "跳水": 3.0, "重挫": 3.0, "跌超": 2.5, "跌逾": 2.5, "跌近": 3.0,
+		"被抓": 3.0, "被抓捕": 3.0, "回吐": 3.0, "转跌": 3.0,
 	}
 
 	// 否定词，用于反转情感极性
@@ -56,7 +57,7 @@ var (
 	degreeWords = map[string]float64{
 		"非常": 1.8, "极其": 2.2, "太": 1.8, "很": 1.5,
 		"比较": 0.8, "稍微": 0.6, "有点": 0.7, "显著": 1.5,
-		"大幅": 1.8, "急剧": 2.0, "轻微": 0.6, "小幅": 0.7, "逾": 1.8,
+		"大幅": 1.8, "急剧": 2.0, "轻微": 0.6, "小幅": 0.7, "逾": 1.8, "超": 1.8,
 	}
 
 	// 转折词，用于识别情感转折
@@ -72,41 +73,56 @@ var baseDict string
 var zhDict string
 
 func InitAnalyzeSentiment() {
-	logger.SugaredLogger.Infof("初始化词典库路径:%s", fileutil.CurrentPath())
+	defer func() {
+		if r := recover(); r != nil {
+			logger.SugaredLogger.Error(fmt.Sprintf("panic: %v", r))
+		}
+	}()
+	// 加载简体中文词典
+	//err := seg.LoadDict("zh_s")
+	//if err != nil {
+	//	logger.SugaredLogger.Error(err.Error())
+	//}
+
 	err := seg.LoadDictEmbed(baseDict)
 	if err != nil {
 		logger.SugaredLogger.Error(err.Error())
 	} else {
 		logger.SugaredLogger.Info("加载默认词典成功")
 	}
+	seg.CalcToken()
+
 	stocks := &[]StockBasic{}
 	db.Dao.Model(&StockBasic{}).Find(stocks)
 	for _, stock := range *stocks {
 		if strutil.Trim(stock.Name) == "" {
 			continue
 		}
-		err := seg.AddToken(stock.Name, basefreq+500, "n")
+		err := seg.AddToken(stock.Name, basefreq+100, "n")
 		if strutil.Trim(stock.BKName) != "" {
-			err = seg.AddToken(stock.BKName, basefreq+500, "n")
+			err = seg.AddToken(stock.BKName, basefreq+100, "n")
 		}
 		if err != nil {
 			logger.SugaredLogger.Errorf("添加%s失败:%s", stock.Name, err.Error())
 		}
 	}
+	logger.SugaredLogger.Info("加载股票名称词典成功")
+
 	stockhks := &[]models.StockInfoHK{}
 	db.Dao.Model(&models.StockInfoHK{}).Find(stockhks)
 	for _, stock := range *stockhks {
 		if strutil.Trim(stock.Name) == "" {
 			continue
 		}
-		err := seg.AddToken(stock.Name, basefreq+500, "n")
+		err := seg.AddToken(stock.Name, basefreq+100, "n")
 		if strutil.Trim(stock.BKName) != "" {
-			err = seg.AddToken(stock.BKName, basefreq+500, "n")
+			err = seg.AddToken(stock.BKName, basefreq+100, "n")
 		}
 		if err != nil {
 			logger.SugaredLogger.Errorf("添加%s失败:%s", stock.Name, err.Error())
 		}
 	}
+	logger.SugaredLogger.Info("加载港股名称词典成功")
 	//stockus := &[]models.StockInfoUS{}
 	//db.Dao.Model(&models.StockInfoUS{}).Where("trim(name) != ?", "").Find(stockus)
 	//for _, stock := range *stockus {
@@ -116,50 +132,71 @@ func InitAnalyzeSentiment() {
 	//	}
 	//}
 	tags := &[]models.Tags{}
-	db.Dao.Model(&models.Tags{}).Find(tags)
+	db.Dao.Model(&models.Tags{}).Where("type = ?", "subject").Find(tags)
 	for _, tag := range *tags {
-		err := seg.AddToken(tag.Name, basefreq, "n")
+		if tag.Name == "" {
+			continue
+		}
+		err := seg.AddToken(tag.Name, basefreq+100, "n")
 		if err != nil {
 			logger.SugaredLogger.Errorf("添加%s失败:%s", tag.Name, err.Error())
+		} else {
+			logger.SugaredLogger.Infof("添加tags词典[%s]成功", tag.Name)
 		}
 	}
-
+	logger.SugaredLogger.Info("加载tags词典成功")
+	seg.CalcToken()
 	//加载用户自定义词典 先判断用户词典是否存在
-	if fileutil.IsExist(fileutil.CurrentPath() + "/data/dict/user.txt") {
-		lines, err := fileutil.ReadFileByLine(fileutil.CurrentPath() + "/data/dict/user.txt")
+	if fileutil.IsExist("data/dict/user.txt") {
+		lines, err := fileutil.ReadFileByLine("data/dict/user.txt")
 		if err != nil {
 			logger.SugaredLogger.Error(err.Error())
 			return
 		}
 		for _, line := range lines {
+			if len(line) == 0 || line[0] == '#' {
+				continue
+			}
 			k := strutil.SplitAndTrim(line, " ")
+			if len(k) == 0 {
+				continue
+			}
+			_, _, ok := seg.Find(k[0])
 			switch len(k) {
 			case 1:
-				err = seg.AddToken(k[0], 100)
+				if ok {
+					err = seg.ReAddToken(k[0], basefreq)
+				} else {
+					err = seg.AddToken(k[0], basefreq)
+				}
 			case 2:
 				freq, _ := convertor.ToFloat(k[1])
-				err = seg.AddToken(k[0], freq)
+				if ok {
+					err = seg.ReAddToken(k[0], freq)
+				} else {
+					err = seg.AddToken(k[0], freq)
+				}
 			case 3:
 				freq, _ := convertor.ToFloat(k[1])
-				err = seg.AddToken(k[0], freq, k[2])
+				if ok {
+					err = seg.ReAddToken(k[0], freq, k[2])
+				} else {
+					err = seg.AddToken(k[0], freq, k[2])
+				}
 			default:
 				logger.SugaredLogger.Errorf("用户词典格式错误:%s", line)
 			}
+			logger.SugaredLogger.Infof("添加用户词典[%s]成功", line)
 		}
 		if err != nil {
 			logger.SugaredLogger.Error(err.Error())
 		} else {
-			logger.SugaredLogger.Error("加载用户词典成功")
+			logger.SugaredLogger.Infof("加载用户词典成功")
 		}
+	} else {
+		logger.SugaredLogger.Info("用户词典不存在")
 	}
-}
-
-// WordFreqWithWeight 词频统计结果，包含权重信息
-type WordFreqWithWeight struct {
-	Word      string
-	Frequency int
-	Weight    float64
-	Score     float64
+	seg.CalcToken()
 }
 
 // getWordWeight 获取词汇权重
@@ -167,16 +204,17 @@ func getWordWeight(word string) float64 {
 	// 从分词器获取词汇权重
 
 	freq, pos, ok := seg.Dictionary().Find([]byte(word))
-	if ok && pos == "n" {
-		return basefreq + freq
+	if ok {
+		logger.SugaredLogger.Infof("获取%s的权重:%f,pos:%s,ok:%v", word, freq, pos, ok)
+		return freq
 	}
 	return 0
 }
 
 // SortByWeightAndFrequency 按权重和频次排序词频结果
-func SortByWeightAndFrequency(frequencies map[string]WordFreqWithWeight) []WordFreqWithWeight {
+func SortByWeightAndFrequency(frequencies map[string]models.WordFreqWithWeight) []models.WordFreqWithWeight {
 	// 将map转换为slice以便排序
-	freqSlice := make([]WordFreqWithWeight, 0, len(frequencies))
+	freqSlice := make([]models.WordFreqWithWeight, 0, len(frequencies))
 	for _, freq := range frequencies {
 		freqSlice = append(freqSlice, freq)
 	}
@@ -191,7 +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)
 
@@ -200,8 +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
@@ -229,8 +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:]]+$`)
@@ -245,9 +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)
@@ -258,8 +296,8 @@ func countWordFrequencyWithWeight(text string) map[string]WordFreqWithWeight {
 	// 构建包含权重的结果
 	for word, frequency := range wordCount {
 		weight := getWordWeight(word)
-		if weight > 0 {
-			freqMap[word] = WordFreqWithWeight{
+		if weight >= basefreq {
+			freqMap[word] = models.WordFreqWithWeight{
 				Word:      word,
 				Frequency: frequency,
 				Weight:    weight,
@@ -273,7 +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)
 
@@ -283,26 +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
@@ -342,7 +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
@@ -352,7 +378,7 @@ func AnalyzeSentiment(text string) SentimentResult {
 		category = Neutral
 	}
 
-	return SentimentResult{
+	return models.SentimentResult{
 		Score:         score,
 		Category:      category,
 		PositiveCount: positiveCount,
@@ -465,7 +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"
@@ -510,3 +536,43 @@ func main() {
 			result.NegativeCount)
 	}
 }
+
+func SaveAnalyzeSentimentWithFreqWeight(frequencies []models.WordFreqWithWeight) {
+
+	sort.Slice(frequencies, func(i, j int) bool {
+		return frequencies[i].Frequency > frequencies[j].Frequency
+	})
+	wordAnalyzes := make([]models.WordAnalyze, 0)
+	for _, freq := range frequencies[:10] {
+		wordAnalyze := models.WordAnalyze{
+			WordFreqWithWeight: freq,
+		}
+		wordAnalyzes = append(wordAnalyzes, wordAnalyze)
+	}
+	db.Dao.CreateInBatches(wordAnalyzes, 1000)
+}
+
+func SaveStockSentimentAnalysis(result models.SentimentResult) {
+	db.Dao.Create(&models.SentimentResultAnalyze{
+		SentimentResult: result,
+	})
+}
+
+func NewsAnalyze(text string, save bool) (models.SentimentResult, []models.WordFreqWithWeight) {
+	if text == "" {
+		telegraphs := NewMarketNewsApi().GetNews24HoursList("", 1000*10)
+		messageText := strings.Builder{}
+		for _, telegraph := range *telegraphs {
+			messageText.WriteString(telegraph.Content + "\n")
+		}
+		text = messageText.String()
+	}
+	result, frequencies := AnalyzeSentimentWithFreqWeight(text)
+	// 过滤标点符号和分隔符
+	cleanFrequencies := FilterAndSortWords(frequencies)
+	if save {
+		go SaveAnalyzeSentimentWithFreqWeight(cleanFrequencies)
+		go SaveStockSentimentAnalysis(result)
+	}
+	return result, cleanFrequencies
+}

backend/data/stock_sentiment_analysis_test.go

@@ -6,6 +6,8 @@ import (
 	"go-stock/backend/logger"
 	"strings"
 	"testing"
+
+	"github.com/duke-git/lancet/v2/random"
 )
 
 // @Author spark
@@ -19,14 +21,16 @@ func TestAnalyzeSentiment(t *testing.T) {
 	InitAnalyzeSentiment()
 
 	messageText := strings.Builder{}
-	//news := NewMarketNewsApi().GetNewsList2("", random.RandInt(500, 1000))
-	//for _, telegraph := range *news {
-	//	messageText.WriteString(telegraph.Content + "\n")
-	//}
+	news := NewMarketNewsApi().GetNewsList2("", random.RandInt(500, 1000))
+	for _, telegraph := range *news {
+		messageText.WriteString(telegraph.Content + "\n")
+	}
 
 	text := messageText.String()
-	text = " 【周六你需要知道的隔夜全球要闻：美联储鸽声重振 美股走势回稳】 1、纽约联储行长威廉姆斯表示，随着劳动力市场走软，美联储近期内仍有再次降息的空间。 2、美联储理事斯蒂芬·米兰表示，自上次联邦公开市场委员会（FOMC）会议以来的经济数据应“促使人们偏向鸽派立场”。 3、波士顿联邦储备银行行长柯林斯表示，由于通胀可能在一段时间内保持高位，维持利率不变“目前合适”。 4、据CME“美联储观察”，截至北京时间11月22日6时30分，美联储12月降息25个基点的概率为69.4%，维持利率不变的概率为30.6%。 5、美国劳工统计局表示，11月CPI报告将于12月18日发布，同时取消了10月CPI报告发布，表示无法追溯采集政府停摆期间未能收集的部分数据。 6、俄罗斯总统普京表示，已收到美提出解决俄乌冲突的计划，俄罗斯愿意进行和平谈判。美国总统特朗普表示，他认为27日是乌克兰接受美国支持的和平计划的最后期限。 7、美联储高官鸽派言论提振市场情绪，美股三大指数收盘集体上涨，道琼斯指数涨1.08%，标普500指数涨0.98%，纳斯达克综合指数涨0.88%。甲骨文跌超5%，英伟达跌超1%。纳指本周累计跌2.74%，标普500指数累跌1.95%，道指累跌1.91%。英伟达本周累跌5.9%。 8、热门中概股多数上涨，纳斯达克中国金龙指数收涨1.23%。蔚来涨超3%，哔哩哔哩、理想汽车涨超2%，京东、小鹏汽车涨超1%。 9、国际油价下跌，交易员评估乌克兰与俄罗斯可能达成和平协议的前景。WTI 1月期货下跌1.6%，结算价报每桶58.06美元，为过去五个交易日中第四次下跌。布伦特1月期货下跌1.3%，结算价报每桶62.56美元。 10、美联储延长压力测试改进方案征询期，为银行反馈提供更多时间。 11、由于美国人对个人财务状况的看法恶化，美国消费者信心在11月跌至接近纪录最低水平；密歇根大学数据显示，11月消费者信心指数降至51，10月为53.6。 12、日本央行政策委员会委员Kazuyuki Masu表示，日本央行接近作出加息决定。 13、穆迪将意大利信用评级从BAA3上调至BAA2，展望稳定。\n"
-	text = "财联社电：英伟达周五冲高回落，股价涨幅收于1%，市场普遍认为其走势疲软"
+	//text = " 【周六你需要知道的隔夜全球要闻：美联储鸽声重振 美股走势回稳】 1、纽约联储行长威廉姆斯表示，随着劳动力市场走软，美联储近期内仍有再次降息的空间。 2、美联储理事斯蒂芬·米兰表示，自上次联邦公开市场委员会（FOMC）会议以来的经济数据应“促使人们偏向鸽派立场”。 3、波士顿联邦储备银行行长柯林斯表示，由于通胀可能在一段时间内保持高位，维持利率不变“目前合适”。 4、据CME“美联储观察”，截至北京时间11月22日6时30分，美联储12月降息25个基点的概率为69.4%，维持利率不变的概率为30.6%。 5、美国劳工统计局表示，11月CPI报告将于12月18日发布，同时取消了10月CPI报告发布，表示无法追溯采集政府停摆期间未能收集的部分数据。 6、俄罗斯总统普京表示，已收到美提出解决俄乌冲突的计划，俄罗斯愿意进行和平谈判。美国总统特朗普表示，他认为27日是乌克兰接受美国支持的和平计划的最后期限。 7、美联储高官鸽派言论提振市场情绪，美股三大指数收盘集体上涨，道琼斯指数涨1.08%，标普500指数涨0.98%，纳斯达克综合指数涨0.88%。甲骨文跌超5%，英伟达跌超1%。纳指本周累计跌2.74%，标普500指数累跌1.95%，道指累跌1.91%。英伟达本周累跌5.9%。 8、热门中概股多数上涨，纳斯达克中国金龙指数收涨1.23%。蔚来涨超3%，哔哩哔哩、理想汽车涨超2%，京东、小鹏汽车涨超1%。 9、国际油价下跌，交易员评估乌克兰与俄罗斯可能达成和平协议的前景。WTI 1月期货下跌1.6%，结算价报每桶58.06美元，为过去五个交易日中第四次下跌。布伦特1月期货下跌1.3%，结算价报每桶62.56美元。 10、美联储延长压力测试改进方案征询期，为银行反馈提供更多时间。 11、由于美国人对个人财务状况的看法恶化，美国消费者信心在11月跌至接近纪录最低水平；密歇根大学数据显示，11月消费者信心指数降至51，10月为53.6。 12、日本央行政策委员会委员Kazuyuki Masu表示，日本央行接近作出加息决定。 13、穆迪将意大利信用评级从BAA3上调至BAA2，展望稳定。\n"
+	//text = "财联社电：英伟达周五冲高回落，股价涨幅收于1%，市场普遍认为其走势疲软"
+	//text = "【本轮巴以冲突已致加沙地带69733人死亡】财联社11月22日电，当地时间22日下午，以军对加沙城西部一辆汽车发动空袭，已造成5人死亡，多人受伤。自2023年10月7日巴以新一轮大规模冲突爆发以来，以色列对加沙地带的袭击已造成69733人死亡、170863人受伤。"
+	//text = "【牛肉加工亏损 美国泰森公司关停缩减相关业务】财联社11月22日电，受牛肉加工业务亏损影响，当地时间21日，美国泰森食品公司发布公告称，将关闭位于内布拉斯加州的一家大型牛肉加工厂，还计划缩小得克萨斯州一家牛肉加工厂的生产规模。根据泰森食品公司的公告，被关闭的这家工厂位于内布拉斯加州列克星敦，日均可宰杀并处理大约5000头牛，约占全美日均牛肉屠宰数量的4.8%。与此同时，公司还计划缩小得克萨斯州一家牛肉加工厂的生产规模，这家工厂每天大约可屠宰6000头牛。据悉，泰森此次业务调整影响两个工厂大约5000个工作岗位。《华尔街日报》报道称，泰森是美国四大肉类加工公司中首家关闭主要牛肉加工厂的公司，其最新财报显示，2025财年牛肉加工是唯一亏损的业务部门，调整后的营业亏损为4.26亿美元。"
 	// 分析情感
 	words := splitWords(text)
 	fmt.Println(strings.Join(words, " "))

backend/db/db.go

@@ -1,13 +1,14 @@
 package db
 
 import (
+	"log"
+	"os"
+	"time"
+
 	"github.com/glebarez/sqlite"
 	"gorm.io/gorm"
 	"gorm.io/gorm/logger"
 	"gorm.io/plugin/dbresolver"
-	"log"
-	"os"
-	"time"
 )
 
 var Dao *gorm.DB
@@ -26,7 +27,7 @@ func Init(sqlitePath string) {
 	var openDb *gorm.DB
 	var err error
 	if sqlitePath == "" {
-		sqlitePath = "data/stock.db?cache=shared&mode=rwc&_journal_mode=WAL"
+		sqlitePath = "data/stock.db?cache_size=-524288&journal_mode=WAL"
 	}
 	openDb, err = gorm.Open(sqlite.Open(sqlitePath), &gorm.Config{
 		Logger:                                   dbLogger,
@@ -48,8 +49,8 @@ func Init(sqlitePath string) {
 	if err != nil {
 		log.Fatalf("openDb.DB error is  %s", err.Error())
 	}
-	dbCon.SetMaxIdleConns(10)
-	dbCon.SetMaxOpenConns(100)
+	dbCon.SetMaxIdleConns(4)
+	dbCon.SetMaxOpenConns(10)
 	dbCon.SetConnMaxLifetime(time.Hour)
 	Dao = openDb
 }

backend/models/models.go

@@ -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"`
@@ -232,15 +260,16 @@ type Prompt struct {
 type Telegraph struct {
 	gorm.Model
 	Time            string          `json:"time"`
-	DataTime        *time.Time      `json:"dataTime"`
-	Content         string          `json:"content"`
+	DataTime        *time.Time      `json:"dataTime" gorm:"index"`
+	Title           string          `json:"title" gorm:"index"`
+	Content         string          `json:"content" gorm:"index"`
 	SubjectTags     []string        `json:"subjects" gorm:"-:all"`
 	StocksTags      []string        `json:"stocks" gorm:"-:all"`
-	IsRed           bool            `json:"isRed"`
+	IsRed           bool            `json:"isRed" gorm:"index"`
 	Url             string          `json:"url"`
-	Source          string          `json:"source"`
+	Source          string          `json:"source" gorm:"index"`
 	TelegraphTags   []TelegraphTags `json:"tags" gorm:"-:migration;foreignKey:TelegraphId"`
-	SentimentResult string          `json:"sentimentResult"`
+	SentimentResult string          `json:"sentimentResult" gorm:"index"`
 }
 type TelegraphTags struct {
 	gorm.Model
@@ -331,6 +360,22 @@ type TVNews struct {
 		LogoId string `json:"logo_id"`
 	} `json:"provider"`
 }
+type TVNewsDetail struct {
+	ShortDescription string `json:"shortDescription"`
+	Tags             []struct {
+		Title string `json:"title"`
+		Args  []struct {
+			Id    string `json:"id"`
+			Value string `json:"value"`
+		} `json:"args"`
+	} `json:"tags"`
+	Copyright string `json:"copyright"`
+	Id        string `json:"id"`
+	Title     string `json:"title"`
+	Published int    `json:"published"`
+	Urgency   int    `json:"urgency"`
+	StoryPath string `json:"storyPath"`
+}
 
 type XUEQIUHot struct {
 	Data struct {
@@ -342,29 +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 {
@@ -702,3 +747,208 @@ 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"`
+	StockCurrentPrice        string     `json:"stockCurrentPrice" md:"当前价格"`
+	StockCurrentPriceTime    string     `json:"stockCurrentPriceTime" md:"当前价格时间"`
+	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/package-lock.json

@@ -33,14 +33,14 @@
         "@vicons/ionicons5": "^0.13.0",
         "@vicons/material": "^0.13.0",
         "@vicons/tabler": "^0.13.0",
-        "@vitejs/plugin-vue": "^5.2.1",
+        "@vitejs/plugin-vue": "^6.0.2",
         "html-docx-js-typescript": "^0.1.5",
         "less": "^4.4.0",
-        "naive-ui": "^2.41.0",
+        "naive-ui": "^2.43.2",
         "unplugin-auto-import": "^20.0.0",
         "unplugin-vue-components": "^29.0.0",
         "vfonts": "^0.0.3",
-        "vite": "^6.3.5"
+        "vite": "7.2.4"
       }
     },
     "node_modules/@babel/code-frame": {
@@ -480,6 +480,7 @@
       "resolved": "https://registry.npmmirror.com/@css-render/vue3-ssr/-/vue3-ssr-0.15.14.tgz",
       "integrity": "sha512-//8027GSbxE9n3QlD73xFY6z4ZbHbvrOVB7AO6hsmrEzGbg+h2A09HboUyDgu+xsmj7JnvJD39Irt+2D0+iV8g==",
       "dev": true,
+      "license": "MIT",
       "peerDependencies": {
         "vue": "^3.0.11"
       }
@@ -924,7 +925,8 @@
       "version": "3.4.0",
       "resolved": "https://registry.npmmirror.com/@juggle/resize-observer/-/resize-observer-3.4.0.tgz",
       "integrity": "sha512-dfLbk+PwWvFzSxwk3n5ySL0hfBog779o8h68wK/7/APo/7cgyWp5jcXockbxdk5kFRkbeXWm4Fbi9FrdN381sA==",
-      "dev": true
+      "dev": true,
+      "license": "Apache-2.0"
     },
     "node_modules/@lezer/common": {
       "version": "1.2.3",
@@ -1115,6 +1117,13 @@
         "url": "https://opencollective.com/popperjs"
       }
     },
+    "node_modules/@rolldown/pluginutils": {
+      "version": "1.0.0-beta.50",
+      "resolved": "https://registry.npmmirror.com/@rolldown/pluginutils/-/pluginutils-1.0.0-beta.50.tgz",
+      "integrity": "sha512-5e76wQiQVeL1ICOZVUg4LSOVYg9jyhGCin+icYozhsUzM+fHE7kddi1bdiE0jwVqTfkjba3jUFbEkoC9WkdvyA==",
+      "dev": true,
+      "license": "MIT"
+    },
     "node_modules/@rollup/rollup-android-arm-eabi": {
       "version": "4.43.0",
       "resolved": "https://registry.npmjs.org/@rollup/rollup-android-arm-eabi/-/rollup-android-arm-eabi-4.43.0.tgz",
@@ -1486,9 +1495,10 @@
       "integrity": "sha512-sVDA58zAw4eWAffKOaQH5/5j3XeayukzDk+ewSsnv3p4yJEZHCCzMDiZM8e0OUrRvmpGZ85jf4yDHkHsgBNr9Q=="
     },
     "node_modules/@types/lodash": {
-      "version": "4.17.15",
-      "resolved": "https://registry.npmmirror.com/@types/lodash/-/lodash-4.17.15.tgz",
-      "integrity": "sha512-w/P33JFeySuhN6JLkysYUK2gEmy9kHHFN7E8ro0tkfmlDOgxBDzWEZ/J8cWA+fHqFevpswDTFZnDx+R9lbL6xw=="
+      "version": "4.17.21",
+      "resolved": "https://registry.npmmirror.com/@types/lodash/-/lodash-4.17.21.tgz",
+      "integrity": "sha512-FOvQ0YPD5NOfPgMzJihoT+Za5pdkDJWcbpuj1DjaKZIr/gxodQjY/uWEFlTNqW2ugXHUiL8lRQgw63dzKHZdeQ==",
+      "license": "MIT"
     },
     "node_modules/@types/lodash-es": {
       "version": "4.17.12",
@@ -1602,15 +1612,19 @@
       "dev": true
     },
     "node_modules/@vitejs/plugin-vue": {
-      "version": "5.2.1",
-      "resolved": "https://registry.npmmirror.com/@vitejs/plugin-vue/-/plugin-vue-5.2.1.tgz",
-      "integrity": "sha512-cxh314tzaWwOLqVes2gnnCtvBDcM1UMdn+iFR+UjAn411dPT3tOmqrJjbMd7koZpMAmBM/GqeV4n9ge7JSiJJQ==",
+      "version": "6.0.2",
+      "resolved": "https://registry.npmmirror.com/@vitejs/plugin-vue/-/plugin-vue-6.0.2.tgz",
+      "integrity": "sha512-iHmwV3QcVGGvSC1BG5bZ4z6iwa1SOpAPWmnjOErd4Ske+lZua5K9TtAVdx0gMBClJ28DViCbSmZitjWZsWO3LA==",
       "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "@rolldown/pluginutils": "1.0.0-beta.50"
+      },
       "engines": {
-        "node": "^18.0.0 || >=20.0.0"
+        "node": "^20.19.0 || >=22.12.0"
       },
       "peerDependencies": {
-        "vite": "^5.0.0 || ^6.0.0",
+        "vite": "^5.0.0 || ^6.0.0 || ^7.0.0",
         "vue": "^3.2.25"
       }
     },
@@ -2100,7 +2114,8 @@
       "version": "0.2.4",
       "resolved": "https://registry.npmmirror.com/evtd/-/evtd-0.2.4.tgz",
       "integrity": "sha512-qaeGN5bx63s/AXgQo8gj6fBkxge+OoLddLniox5qtLAEY5HSnuSlISXVPxnSae1dWblvTh4/HoMIB+mbMsvZzw==",
-      "dev": true
+      "dev": true,
+      "license": "MIT"
     },
     "node_modules/exsolve": {
       "version": "1.0.7",
@@ -2110,11 +2125,14 @@
       "license": "MIT"
     },
     "node_modules/fdir": {
-      "version": "6.4.6",
-      "resolved": "https://registry.npmjs.org/fdir/-/fdir-6.4.6.tgz",
-      "integrity": "sha512-hiFoqpyZcfNm1yc4u8oWCf9A2c4D3QjCrks3zmoVKVxpQRzmPNar1hUJcBG2RQHvEVGDN+Jm81ZheVLAQMK6+w==",
+      "version": "6.5.0",
+      "resolved": "https://registry.npmmirror.com/fdir/-/fdir-6.5.0.tgz",
+      "integrity": "sha512-tIbYtZbucOs0BRGqPJkshJUYdL+SDH7dVM8gjy+ERp3WAUjLEFJE+02kanyHtwjWOnwrKYBiwAmM0p4kLJAnXg==",
       "dev": true,
       "license": "MIT",
+      "engines": {
+        "node": ">=12.0.0"
+      },
       "peerDependencies": {
         "picomatch": "^3 || ^4"
       },
@@ -2603,46 +2621,36 @@
       "license": "MIT"
     },
     "node_modules/naive-ui": {
-      "version": "2.41.0",
-      "resolved": "https://registry.npmmirror.com/naive-ui/-/naive-ui-2.41.0.tgz",
-      "integrity": "sha512-KnmLg+xPLwXV8QVR7ZZ69eCjvel7R5vru8+eFe4VoAJHEgqAJgVph6Zno9K2IVQRpSF3GBGea3tjavslOR4FAA==",
+      "version": "2.43.2",
+      "resolved": "https://registry.npmmirror.com/naive-ui/-/naive-ui-2.43.2.tgz",
+      "integrity": "sha512-YlLMnGrwGTOc+zMj90sG3ubaH5/7czsgLgGcjTLA981IUaz8r6t4WIujNt8r9PNr+dqv6XNEr0vxkARgPPjfBQ==",
       "dev": true,
+      "license": "MIT",
       "dependencies": {
         "@css-render/plugin-bem": "^0.15.14",
         "@css-render/vue3-ssr": "^0.15.14",
         "@types/katex": "^0.16.2",
-        "@types/lodash": "^4.14.198",
-        "@types/lodash-es": "^4.17.9",
+        "@types/lodash": "^4.17.20",
+        "@types/lodash-es": "^4.17.12",
         "async-validator": "^4.2.5",
         "css-render": "^0.15.14",
         "csstype": "^3.1.3",
-        "date-fns": "^3.6.0",
-        "date-fns-tz": "^3.1.3",
+        "date-fns": "^4.1.0",
+        "date-fns-tz": "^3.2.0",
         "evtd": "^0.2.4",
         "highlight.js": "^11.8.0",
         "lodash": "^4.17.21",
         "lodash-es": "^4.17.21",
-        "seemly": "^0.3.8",
+        "seemly": "^0.3.10",
         "treemate": "^0.3.11",
         "vdirs": "^0.1.8",
         "vooks": "^0.2.12",
-        "vueuc": "^0.4.63"
+        "vueuc": "^0.4.65"
       },
       "peerDependencies": {
         "vue": "^3.0.0"
       }
     },
-    "node_modules/naive-ui/node_modules/date-fns": {
-      "version": "3.6.0",
-      "resolved": "https://registry.npmmirror.com/date-fns/-/date-fns-3.6.0.tgz",
-      "integrity": "sha512-fRHTG8g/Gif+kSh50gaGEdToemgfj74aRX3swtiouboip5JDLAyDE9F11nHMIcvOaXeOC6D7SpNhi7uFyB7Uww==",
-      "dev": true,
-      "license": "MIT",
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/kossnocorp"
-      }
-    },
     "node_modules/nanoid": {
       "version": "3.3.11",
       "resolved": "https://registry.npmjs.org/nanoid/-/nanoid-3.3.11.tgz",
@@ -2930,7 +2938,8 @@
       "version": "0.3.10",
       "resolved": "https://registry.npmmirror.com/seemly/-/seemly-0.3.10.tgz",
       "integrity": "sha512-2+SMxtG1PcsL0uyhkumlOU6Qo9TAQ/WyH7tthnPIOQB05/12jz9naq6GZ6iZ6ApVsO3rr2gsnTf3++OV63kE1Q==",
-      "dev": true
+      "dev": true,
+      "license": "MIT"
     },
     "node_modules/select": {
       "version": "1.1.2",
@@ -3074,14 +3083,14 @@
       "license": "MIT"
     },
     "node_modules/tinyglobby": {
-      "version": "0.2.14",
-      "resolved": "https://registry.npmjs.org/tinyglobby/-/tinyglobby-0.2.14.tgz",
-      "integrity": "sha512-tX5e7OM1HnYr2+a2C/4V0htOcSQcoSTH9KgJnVvNm5zm/cyEWKJ7j7YutsH9CxMdtOkkLFy2AHrMci9IM8IPZQ==",
+      "version": "0.2.15",
+      "resolved": "https://registry.npmmirror.com/tinyglobby/-/tinyglobby-0.2.15.tgz",
+      "integrity": "sha512-j2Zq4NyQYG5XMST4cbs02Ak8iJUdxRM0XI5QyxXuZOzKOINmWurp3smXu3y5wDcJrptwpSjgXHzIQxR0omXljQ==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "fdir": "^6.4.4",
-        "picomatch": "^4.0.2"
+        "fdir": "^6.5.0",
+        "picomatch": "^4.0.3"
       },
       "engines": {
         "node": ">=12.0.0"
@@ -3309,6 +3318,7 @@
       "resolved": "https://registry.npmmirror.com/vdirs/-/vdirs-0.1.8.tgz",
       "integrity": "sha512-H9V1zGRLQZg9b+GdMk8MXDN2Lva0zx72MPahDKc30v+DtwKjfyOSXWRIX4t2mhDubM1H09gPhWeth/BJWPHGUw==",
       "dev": true,
+      "license": "MIT",
       "dependencies": {
         "evtd": "^0.2.2"
       },
@@ -3323,24 +3333,24 @@
       "dev": true
     },
     "node_modules/vite": {
-      "version": "6.3.5",
-      "resolved": "https://registry.npmjs.org/vite/-/vite-6.3.5.tgz",
-      "integrity": "sha512-cZn6NDFE7wdTpINgs++ZJ4N49W2vRp8LCKrn3Ob1kYNtOo21vfDoaV5GzBfLU4MovSAB8uNRm4jgzVQZ+mBzPQ==",
+      "version": "7.2.4",
+      "resolved": "https://registry.npmmirror.com/vite/-/vite-7.2.4.tgz",
+      "integrity": "sha512-NL8jTlbo0Tn4dUEXEsUg8KeyG/Lkmc4Fnzb8JXN/Ykm9G4HNImjtABMJgkQoVjOBN/j2WAwDTRytdqJbZsah7w==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
         "esbuild": "^0.25.0",
-        "fdir": "^6.4.4",
-        "picomatch": "^4.0.2",
-        "postcss": "^8.5.3",
-        "rollup": "^4.34.9",
-        "tinyglobby": "^0.2.13"
+        "fdir": "^6.5.0",
+        "picomatch": "^4.0.3",
+        "postcss": "^8.5.6",
+        "rollup": "^4.43.0",
+        "tinyglobby": "^0.2.15"
       },
       "bin": {
         "vite": "bin/vite.js"
       },
       "engines": {
-        "node": "^18.0.0 || ^20.0.0 || >=22.0.0"
+        "node": "^20.19.0 || >=22.12.0"
       },
       "funding": {
         "url": "https://github.com/vitejs/vite?sponsor=1"
@@ -3349,14 +3359,14 @@
         "fsevents": "~2.3.3"
       },
       "peerDependencies": {
-        "@types/node": "^18.0.0 || ^20.0.0 || >=22.0.0",
+        "@types/node": "^20.19.0 || >=22.12.0",
         "jiti": ">=1.21.0",
-        "less": "*",
+        "less": "^4.0.0",
         "lightningcss": "^1.21.0",
-        "sass": "*",
-        "sass-embedded": "*",
-        "stylus": "*",
-        "sugarss": "*",
+        "sass": "^1.70.0",
+        "sass-embedded": "^1.70.0",
+        "stylus": ">=0.54.8",
+        "sugarss": "^5.0.0",
         "terser": "^5.16.0",
         "tsx": "^4.8.1",
         "yaml": "^2.4.2"
@@ -3442,6 +3452,7 @@
       "resolved": "https://registry.npmmirror.com/vooks/-/vooks-0.2.12.tgz",
       "integrity": "sha512-iox0I3RZzxtKlcgYaStQYKEzWWGAduMmq+jS7OrNdQo1FgGfPMubGL3uGHOU9n97NIvfFDBGnpSvkWyb/NSn/Q==",
       "dev": true,
+      "license": "MIT",
       "dependencies": {
         "evtd": "^0.2.2"
       },
@@ -3493,10 +3504,11 @@
       }
     },
     "node_modules/vueuc": {
-      "version": "0.4.64",
-      "resolved": "https://registry.npmmirror.com/vueuc/-/vueuc-0.4.64.tgz",
-      "integrity": "sha512-wlJQj7fIwKK2pOEoOq4Aro8JdPOGpX8aWQhV8YkTW9OgWD2uj2O8ANzvSsIGjx7LTOc7QbS7sXdxHi6XvRnHPA==",
+      "version": "0.4.65",
+      "resolved": "https://registry.npmmirror.com/vueuc/-/vueuc-0.4.65.tgz",
+      "integrity": "sha512-lXuMl+8gsBmruudfxnMF9HW4be8rFziylXFu1VHVNbLVhRTXXV4njvpRuJapD/8q+oFEMSfQMH16E/85VoWRyQ==",
       "dev": true,
+      "license": "MIT",
       "dependencies": {
         "@css-render/vue3-ssr": "^0.15.10",
         "@juggle/resize-observer": "^3.3.1",

frontend/package.json

@@ -34,14 +34,14 @@
     "@vicons/ionicons5": "^0.13.0",
     "@vicons/material": "^0.13.0",
     "@vicons/tabler": "^0.13.0",
-    "@vitejs/plugin-vue": "^5.2.1",
+    "@vitejs/plugin-vue": "^6.0.2",
     "html-docx-js-typescript": "^0.1.5",
     "less": "^4.4.0",
-    "naive-ui": "^2.41.0",
+    "naive-ui": "^2.43.2",
     "unplugin-auto-import": "^20.0.0",
     "unplugin-vue-components": "^29.0.0",
     "vfonts": "^0.0.3",
-    "vite": "^6.3.5"
+    "vite": "7.2.4"
   },
   "keywords": [
     "AI赋能股票分析",

frontend/package.json.md5

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

frontend/src/App.vue

@@ -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

@@ -1,9 +1,314 @@
 <script setup>
 
+import {AnalyzeSentimentWithFreqWeight,GlobalStockIndexes} from "../../wailsjs/go/main/App";
+import * as echarts from "echarts";
+import {onMounted,onUnmounted, ref} from "vue";
+import _ from "lodash";
+const { name,darkTheme,kDays ,chartHeight} = defineProps({
+  name: {
+    type: String,
+    default: ''
+  },
+  kDays: {
+    type: Number,
+    default: 14
+  },
+  chartHeight: {
+    type: Number,
+    default: 500
+  },
+  darkTheme: {
+    type: Boolean,
+    default: false
+  }
+})
+const common = ref([])
+const america = ref([])
+const europe = ref([])
+const asia = ref([])
+const mainIndex = ref([])
+const chinaIndex = ref([])
+const other = ref([])
+const globalStockIndexes = ref(null)
+const chartRef = ref(null);
+const gaugeChartRef = ref(null);
+const triggerAreas=ref(["main","extra","arrow"])
+let handleChartInterval=null
+let handleIndexInterval=null
+onMounted(() => {
+  handleChart()
+  getIndex()
+  handleChartInterval=setInterval(function () {
+    handleChart()
+  }, 1000 * 60)
+
+  handleIndexInterval=setInterval(function () {
+    getIndex()
+  }, 1000 * 2)
+})
+
+onUnmounted(()=>{
+  clearInterval(handleChartInterval)
+  clearInterval(handleIndexInterval)
+})
+
+function getIndex() {
+  GlobalStockIndexes().then((res) => {
+    globalStockIndexes.value = res
+    common.value = res["common"]
+    america.value = res["america"]
+    europe.value = res["europe"]
+    asia.value = res["asia"]
+    other.value = res["other"]
+    mainIndex.value=asia.value.filter(function (item) {
+      return ['上海',"深圳","香港","台湾","北京","东京","首尔","纽约","纳斯达克"].includes(item.location)
+    }).concat(america.value.filter(function (item) {
+      return ['上海',"深圳","香港","台湾","北京","东京","首尔","纽约","纳斯达克"].includes(item.location)
+    }))
+
+    chinaIndex.value=asia.value.filter(function (item) {
+      return ['上海',"深圳","香港","台湾","北京"].includes(item.location)
+    })
+
+  })
+}
+function  handleChart(){
+  const formatUtil = echarts.format;
+  AnalyzeSentimentWithFreqWeight("").then((res) => {
+    const treemapchart = echarts.init(chartRef.value);
+    const gaugeChart=echarts.init(gaugeChartRef.value);
+    let data = res['frequencies'].map(item => ({
+      name: item.Word,
+      // value: item.Frequency,
+      // value: item.Weight,
+      frequency: item.Frequency,
+      weight: item.Weight,
+      value: item.Score,
+    }));
+
+    let data2 = res['frequencies'].map(item => ({
+      name: item.Word,
+       value: item.Frequency,
+      // value: item.Weight,
+      frequency: item.Frequency,
+      weight: item.Weight,
+      //value: item.Score,
+    }));
+
+    let data3 = res['frequencies'].map(item => ({
+      name: item.Word,
+      //value: item.Frequency,
+       value: item.Weight,
+      frequency: item.Frequency,
+      weight: item.Weight,
+      //value: item.Score,
+    }));
+
+    let option = {
+      darkMode: darkTheme,
+      title: {
+        text:name,
+        left: 'center',
+        textStyle: {
+          color: darkTheme?'#ccc':'#456'
+        }
+      },
+      legend: {
+        show: false
+      },
+      toolbox: {
+        left: '20px',
+        tooltip:{
+          textStyle: {
+            color: darkTheme?'#ccc':'#456'
+          }
+        },
+        feature: {
+          saveAsImage: {title: '保存图片'},
+          restore: {
+            title: '默认',
+          },
+          myTool2: {
+            show: true,
+            title: '按权重',
+            icon:"path://M393.8816 148.1216a29.3376 29.3376 0 0 1-15.2576 38.0928c-43.776 17.152-81.92 43.8272-114.2784 76.2368A345.7536 345.7536 0 0 0 159.5392 512 352.8704 352.8704 0 0 0 512 864.4608a351.744 351.744 0 0 0 249.5488-102.912 353.536 353.536 0 0 0 76.2368-114.2784c5.6832-15.2576 22.8352-20.992 38.0928-15.2576 15.2576 5.7344 20.992 22.8864 15.2576 38.0928a421.2224 421.2224 0 0 1-89.6 133.376A412.6208 412.6208 0 0 1 512 921.6c-226.7136 0-409.6-182.8864-409.6-409.6 0-108.544 41.9328-211.456 120.0128-289.5872A421.2224 421.2224 0 0 1 355.84 132.864a29.3376 29.3376 0 0 1 38.0928 15.2576zM512 102.4c226.7136 0 409.6 182.8864 409.6 409.6 0 15.2576-13.312 28.5696-28.5696 28.5696H512A29.2864 29.2864 0 0 1 483.4304 512V130.9696c0-15.2576 13.312-28.5696 28.5696-28.5696z m28.5696 59.0336v321.9968h321.9968a350.976 350.976 0 0 0-321.9968-321.9968z",
+            onclick: function (){
+              treemapchart.setOption( {series:{
+                  data: data3
+                }})
+            }
+          },
+          myTool1: {
+            show: true,
+            title: '按频次',
+            icon:"path://M895.466667 476.8l-87.424-87.424v-123.626667a49.770667 49.770667 0 0 0-49.770667-49.770666h-123.626667L547.2 128.533333a49.792 49.792 0 0 0-70.4 0l-87.424 87.424h-123.626667a49.770667 49.770667 0 0 0-49.770666 49.770667v123.626667L128.533333 476.8a49.792 49.792 0 0 0 0 70.4l87.424 87.424v123.626667a49.770667 49.770667 0 0 0 49.770667 49.770666h123.626667l87.424 87.424a49.792 49.792 0 0 0 70.4 0l87.424-87.424h123.626666a49.770667 49.770667 0 0 0 49.770667-49.770666v-123.626667l87.424-87.424a49.749333 49.749333 0 0 0 0.042667-70.4z m-137.216 137.194667v144.256h-144.256L512 860.266667l-101.994667-101.994667h-144.256v-144.256L163.733333 512l101.994667-101.994667v-144.256h144.256L512 163.733333l101.994667 101.994667h144.256v144.256L860.266667 512l-102.016 101.994667z M414.378667 514.730667l28.672 10.922666c-18.090667 47.445333-38.229333 92.16-60.757334 133.802667l-30.037333-13.653333a1042.133333 1042.133333 0 0 0 62.122667-131.072zM381.952 367.616L355.669333 384c25.258667 26.282667 45.056 50.176 60.074667 72.021333l25.6-17.749333c-13.994667-20.48-33.792-44.032-59.392-70.656zM537.258667 455.338667c-0.682667 43.690667-6.144 79.189333-16.725334 106.837333-14.336 32.768-44.373333 60.416-89.429333 82.944l21.162667 25.941333c52.224-26.624 85.333333-60.074667 99.328-100.693333 1.706667-5.12 3.413333-10.24 4.778666-15.36 21.504 45.738667 52.906667 83.968 93.866667 115.370667l21.504-24.917334c-51.2-34.474667-86.357333-81.237333-105.813333-140.288 1.706667-15.701333 2.730667-32.085333 2.730666-49.834666h-31.402666z M508.586667 434.858667h115.712c-6.826667 25.258667-15.018667 47.786667-24.917334 66.901333l31.744 8.874667a627.008 627.008 0 0 0 27.989334-85.674667v-21.162667H517.12c3.413333-14.336 6.144-29.354667 8.874667-45.738666l-32.426667-5.12c-7.850667 59.392-25.6 105.813333-52.906667 139.264l26.965334 19.114666c16.725333-19.114667 30.378667-44.373333 40.96-76.458666z",
+            onclick: function (){
+              treemapchart.setOption( {series:{
+                  data: data2
+                }})
+            }
+          }
+        }
+      },
+      tooltip: {
+        formatter: function (info) {
+          var value = info.value.toFixed(2);
+          var frequency = info.data.frequency;
+          var weight = info.data.weight;
+          return [
+            '<div class="tooltip-title">' + info.name+ '</div>',
+            '热度: ' + formatUtil.addCommas(value) + '',
+            '<div class="tooltip-title">频次: ' +  formatUtil.addCommas(frequency)+ '</div>',
+            '<div class="tooltip-title">权重: ' +  formatUtil.addCommas(weight)+ '</div>',
+          ].join('');
+        }
+      },
+      series: [
+        {
+          type: 'treemap',
+          breadcrumb:{show: false},
+          left: '0',
+          top: '40',
+          right: '0',
+          bottom: '0',
+          tooltip: {
+            show: true
+          },
+          data: data
+        }
+      ]
+    };
+    treemapchart.setOption(option);
+
+
+
+    let option2 = {
+      darkMode: darkTheme,
+      series: [
+        {
+          type: 'gauge',
+          startAngle: 180,
+          endAngle: 0,
+          center: ['50%', '75%'],
+          radius: '90%',
+          min: -100,
+          max: 100,
+          splitNumber: 8,
+          axisLine: {
+            lineStyle: {
+              width: 6,
+              color: [
+                // [0.25, '#FF6E76'],
+                // [0.5, '#FDDD60'],
+                // [0.75, '#58D9F9'],
+                // [1, '#7CFFB2'],
+
+                [0.25, '#03fb6a'],
+                [0.5, '#58e1f9'],
+                [0.75, '#ef5922'],
+                [1, '#f11d29'],
+
+              ]
+            }
+          },
+          pointer: {
+            icon: 'path://M12.8,0.7l12,40.1H0.7L12.8,0.7z',
+            length: '12%',
+            width: 20,
+            offsetCenter: [0, '-60%'],
+            itemStyle: {
+              color: 'auto'
+            }
+          },
+          axisTick: {
+            length: 12,
+            lineStyle: {
+              color: 'auto',
+              width: 2
+            }
+          },
+          splitLine: {
+            length: 20,
+            lineStyle: {
+              color: 'auto',
+              width: 5
+            }
+          },
+          axisLabel: {
+            color:  darkTheme?'#ccc':'#456',
+            fontSize: 20,
+            distance: -45,
+            rotate: 'tangential',
+            formatter: function (value) {
+              if (value ===100) {
+                return '极热';
+              } else if (value === 50) {
+                return '乐观';
+              }  else if (value === 0) {
+                return '中性';
+              }else if (value === -50) {
+                return '谨慎';
+              } else if (value === -100) {
+                return '冰点';
+              }
+              return '';
+            }
+          },
+          title: {
+            offsetCenter: [0, '-10%'],
+            fontSize: 20
+          },
+          detail: {
+            fontSize: 30,
+            offsetCenter: [0, '-35%'],
+            valueAnimation: true,
+            formatter: function (value) {
+              return value.toFixed(2) + '';
+            },
+            color: 'inherit'
+          },
+          data: [
+            {
+              value: res.result.Score*0.2,
+              name: '市场情绪强弱'
+            }
+          ]
+        }
+      ]
+    };
+    gaugeChart.setOption(option2);
+  })
+}
 </script>
 
 <template>
-
+  <n-collapse :trigger-areas="triggerAreas" :default-expanded-names="['1']" display-directive="show">
+    <n-collapse-item  name="1" >
+      <template #header>
+          <n-flex>
+              <n-tag size="small" :bordered="false" v-for="(item, index) in mainIndex" :type="item.zdf>0?'error':'success'">
+                <n-flex>
+                  <n-image :width="20" :src="item.img" />
+                  <n-text style="font-size: 14px" :type="item.zdf>0?'error':'success'">{{item.name}}&nbsp;{{item.zxj}}</n-text>
+                  <n-number-animation :precision="2" :from="0" :to="item.zdf" style="font-size: 14px"/>
+                  <n-text style="margin-left: -12px;font-size: 14px" :type="item.zdf>0?'error':'success'">%</n-text>
+                </n-flex>
+              </n-tag>
+          </n-flex>
+      </template>
+      <template #header-extra>
+        主要股指
+      </template>
+      <n-grid :cols="24" :y-gap="0">
+        <n-gi span="6">
+          <div ref="gaugeChartRef" style="width: 100%;height: auto;--wails-draggable:no-drag" :style="{height:chartHeight+'px'}" ></div>
+        </n-gi>
+        <n-gi span="18">
+          <div ref="chartRef" style="width: 100%;height: auto;--wails-draggable:no-drag" :style="{height:chartHeight+'px'}" ></div>
+        </n-gi>
+      </n-grid>
+    </n-collapse-item>
+  </n-collapse>
 </template>
 
 <style scoped>

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/SelectStock.vue

@@ -125,7 +125,12 @@ function Search() {
       // 计算并设置表格宽度
       tableScrollX.value = calculateTableWidth(columns.value);
     } else {
-      message.error(res.msg)
+      if(res.msg){
+        message.error(res.msg)
+      }
+      if(res.message){
+        message.error(res.message)
+      }
     }
   }).catch(err => {
     message.error(err)

frontend/src/components/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 +1,405 @@
+<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, NTag, 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'})
+    }
+    isValidVip.value = !(vipLevel.value === "" || Number(vipLevel.value) <= 0);
+
+  })
+
+})
+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: '板块概念',
+    key: 'bkName'
+  },
+  {
+    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: '最新',
+    key: 'stockCurrentPrice',
+    minWidth: 120,
+    render(row, index) {
+
+      let diff = ((Number(row.stockCurrentPrice) - Number(row.stockPrePrice))/ Number(row.stockPrePrice)*100).toFixed(2)
+
+      if(Number(row.stockCurrentPrice)< Number(row.stockPrePrice)) {
+        return [h(NText, { type: "success", bordered: false }, { default: () => row.stockCurrentPrice+` |  ${diff}%` })]
+      } else {
+        return [h(NText, { type: "error" , bordered: false}, { default: () => row.stockCurrentPrice+` |  ${diff}%` })]
+      }
+    }
+  },
+  {
+    title: '推荐时',
+    key: 'stockPrice',
+    render(row, index) {
+
+      if(vipLevel.value===""|| Number(vipLevel.value) <=0){
+        return h(NText, { type: "info" }, { default: () => row.stockPrice })
+      }
+
+      let diff = ((Number(row.stockCurrentPrice) - Number(row.stockPrice))/ Number(row.stockPrice)*100).toFixed(2)
+      let flagStr="暂平"
+      let flag="info"
+      if(Number(row.stockCurrentPrice)>Number(row.stockPrice)) {
+        flagStr="暂赢 "+diff+"%"
+        flag="error"
+      }else if(Number(row.stockCurrentPrice)===Number(row.stockPrice)){
+        flagStr="暂平"
+        flag="info"
+      }else{
+        flagStr="暂亏 "+ diff+"%"
+        flag="success"
+      }
+
+      return [h(NText, { type: "info" }, { default: () => row.stockPrice }),h(NTag, { type: flag,size: "tiny", bordered: false }, { default: () => flagStr })]
+    }
+  },
+  {
+    title: '昨收',
+    key: 'stockPrePrice',
+    render(row, index) {
+      return h(NText, { type: "info" }, { default: () => row.stockPrePrice })
+    }
+  },
+  {
+    title: 'ai建议买入价',
+    key: 'recommendBuyPrice',
+    render(row, index) {
+      if(vipLevel.value===""|| Number(vipLevel.value) <=0){
+        return h(NText, { type: "info" }, { default: () => row.recommendBuyPrice })
+      }
+
+
+      if(row.recommendBuyPrice.includes("-")){
+        let prices= row.recommendBuyPrice.split("-")
+        if(Number(row.stockCurrentPrice)>=Number(prices[0])&&Number(row.stockCurrentPrice)<=Number(prices[1])){
+          return [h(NText, { type: "success" }, { default: () => row.recommendBuyPrice }),h(NTag, { type: "error", size: "tiny", bordered: false }, { default: () => "Buy" })]
+        }
+      }
+      return h(NText, { type: "info" }, { default: () => row.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,
+      "bkName":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

@@ -13,7 +13,7 @@ import {
   SaveAsMarkdown,
   ShareAnalysis,
   SummaryStockNews,
-  GetAiConfigs, AnalyzeSentimentWithFreqWeight
+  GetAiConfigs,
 } from "../../wailsjs/go/main/App";
 import {EventsOff, EventsOn} from "../../wailsjs/runtime";
 import NewsList from "./newsList.vue";
@@ -45,6 +45,7 @@ const panelHeight = ref(window.innerHeight - 240)
 
 const telegraphList = ref([])
 const sinaNewsList = ref([])
+const foreignNewsList = ref([])
 const common = ref([])
 const america = ref([])
 const europe = ref([])
@@ -54,6 +55,7 @@ const globalStockIndexes = ref(null)
 const summaryModal = ref(false)
 const summaryBTN = ref(true)
 const darkTheme = ref(false)
+const httpProxyEnabled = ref(false)
 const theme = computed(() => {
   return darkTheme ? 'dark' : 'light'
 })
@@ -76,6 +78,7 @@ const indexInterval = ref(null)
 const indexIndustryRank = ref(null)
 const stockCode= ref('')
 const enableTools= ref(true)
+const thinkingMode = ref(true)
 const treemapRef = ref(null);
 let treemapchart =null;
 
@@ -96,6 +99,7 @@ onBeforeMount(() => {
   GetConfig().then(result => {
     summaryBTN.value = result.openAiEnable
     darkTheme.value = result.darkTheme
+    httpProxyEnabled.value = result.httpProxyEnabled
   })
   GetPromptTemplates("", "").then(res => {
     promptTemplates.value = res
@@ -107,13 +111,15 @@ onBeforeMount(() => {
     aiConfigs.value = res
     aiConfigId.value = res[0].ID
   })
-
   GetTelegraphList("财联社电报").then((res) => {
     telegraphList.value = res
   })
   GetTelegraphList("新浪财经").then((res) => {
     sinaNewsList.value = res
   })
+  GetTelegraphList("外媒").then((res) => {
+    foreignNewsList.value = res
+  })
   getIndex();
   industryRank();
   indexInterval.value = setInterval(() => {
@@ -122,12 +128,14 @@ onBeforeMount(() => {
 
   indexIndustryRank.value = setInterval(() => {
     industryRank()
+    ReFlesh("财联社电报")
+    ReFlesh("新浪财经")
+    ReFlesh("外媒")
   }, 1000 * 10)
 
 
 })
 onMounted(() => {
-  Analyze() // 页面显示
 })
 
 
@@ -155,7 +163,6 @@ EventsOn("newTelegraph", (data) => {
       telegraphList.value.pop()
     }
     telegraphList.value.unshift(...data)
-    Analyze() // 页面显示
   }
 })
 EventsOn("newSinaNews", (data) => {
@@ -164,7 +171,14 @@ EventsOn("newSinaNews", (data) => {
     sinaNewsList.value.pop()
   }
   sinaNewsList.value.unshift(...data)
-    Analyze() // 页面显示
+  }
+})
+EventsOn("tradingViewNews", (data) => {
+  if (data!=null) {
+    for (let i = 0; i < data.length; i++) {
+      foreignNewsList.value.pop()
+    }
+    foreignNewsList.value.unshift(...data)
   }
 })
 
@@ -173,32 +187,6 @@ window.onresize = () => {
   panelHeight.value = window.innerHeight - 240
 }
 
-function Analyze(){
-  console.log("treemapchart:",treemapchart)
-  console.log("treemapRef:",treemapRef.value)
-  treemapchart = echarts.init(treemapRef.value);
-  treemapchart.showLoading()
-  AnalyzeSentimentWithFreqWeight("").then((res) => {
-    console.log(res)
-    let option = {
-      legend: {
-        show: false
-      },
-      series: [
-        {
-          type: 'treemap',
-          data: res['frequencies'].map(item => ({
-            name: item.Word,
-            value: item.Score,
-          }))
-        }
-      ]
-    };
-    treemapchart.setOption(option);
-    treemapchart.hideLoading()
-  })
-}
-
 function getAreaName(code) {
   switch (code) {
     case "america":
@@ -239,7 +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() {
@@ -273,9 +261,6 @@ function getAiSummary() {
 function updateTab(name) {
   summaryBTN.value = (name === "市场快讯");
   nowTab.value = name
-  if (name === "市场快讯") {
-    Analyze()
-  }
 }
 
 EventsOn("summaryStockNews", async (msg) => {
@@ -356,6 +341,9 @@ function ReFlesh(source) {
     if (source === "新浪财经") {
       sinaNewsList.value = res
     }
+    if (source === "外媒") {
+      foreignNewsList.value = res
+    }
   })
 }
 </script>
@@ -366,16 +354,20 @@ function ReFlesh(source) {
       <n-tab-pane name="市场快讯" tab="市场快讯">
         <n-grid :cols="1" :y-gap="0">
           <n-gi>
-            <div  ref="treemapRef"  style="width: 100%;height: 300px;" ></div>
+            <AnalyzeMartket :dark-theme="darkTheme" :chart-height="300" :kDays="1" :name="'最近24小时热词'" />
           </n-gi>
           <n-gi>
-            <n-grid :cols="2" :y-gap="0">
+            <n-grid :cols="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="foreignNewsList.length>0">
+                <news-list :newsList="foreignNewsList" :header-title="'外媒'" @update:message="ReFlesh"></news-list>
+              </n-gi>
+
             </n-grid>
           </n-gi>
         </n-grid>
@@ -419,31 +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>
@@ -451,59 +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>
@@ -716,6 +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>
@@ -25,12 +50,29 @@ 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-space justify="start">
-        <n-text justify="start" :bordered="false" :type="item.isRed?'error':'info'">
+    <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-collapse v-if="item.title" arrow-placement="right" >
+          <n-collapse-item :name="item.title">
+            <template #header>
+              <n-tag size="small" :type="item.isRed?'error':'warning'" :bordered="false"> {{ item.time }}</n-tag>
+              <n-text size="small" :type="item.isRed?'error':'info'" :bordered="false">{{ item.title }}</n-text>
+            </template>
+            <n-text justify="start" :bordered="false" :type="item.isRed?'error':'info'">
+              {{ item.content }}
+            </n-text>
+          </n-collapse-item>
+        </n-collapse>
+        <n-text  v-if="!item.title" justify="start" :bordered="false" :type="item.isRed?'error':'info'">
           <n-tag size="small" :type="item.isRed?'error':'warning'" :bordered="false"> {{ item.time }}</n-tag>
           {{ item.content }}
         </n-text>

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: '',
@@ -46,6 +48,7 @@ const formValue = ref({
   httpProxy:"",
   httpProxyEnabled:false,
   enableAgent: false,
+  qgqpBId: '',
 })
 
 // 添加一个新的AI配置到列表
@@ -56,8 +59,10 @@ function addAiConfig() {
     apiKey: '',
     modelName: 'deepseek-chat',
     temperature: 0.1,
-    maxTokens: 1024,
+    maxTokens: 4096,
     timeOut: 60,
+    httpProxy:"",
+    httpProxyEnabled:false,
   }));
 }
 
@@ -91,6 +96,8 @@ onMounted(() => {
       questionTemplate: res.questionTemplate ? res.questionTemplate : '{{stockName}}分析和总结',
       crawlTimeOut: res.crawlTimeOut,
       kDays: res.kDays,
+      httpProxy:"",
+      httpProxyEnabled:false,
     }
 
 
@@ -105,6 +112,7 @@ onMounted(() => {
     formValue.value.httpProxy=res.httpProxy;
     formValue.value.httpProxyEnabled=res.httpProxyEnabled;
     formValue.value.enableAgent = res.enableAgent;
+    formValue.value.qgqpBId = res.qgqpBId;
 
   })
 
@@ -145,6 +153,7 @@ function saveConfig() {
     httpProxy:formValue.value.httpProxy,
     httpProxyEnabled:formValue.value.httpProxyEnabled,
     enableAgent: formValue.value.enableAgent,
+    qgqpBId: formValue.value.qgqpBId
   })
 
   if (config.sponsorCode) {
@@ -235,6 +244,7 @@ function importConfig() {
       formValue.value.httpProxy=config.httpProxy
       formValue.value.httpProxyEnabled=config.httpProxyEnabled
       formValue.value.enableAgent = config.enableAgent
+      formValue.value.qgqpBId = config.qgqpBId
     };
     reader.readAsText(file);
   };
@@ -328,6 +338,9 @@ function deletePrompt(ID) {
             <n-form-item-gi :span="3" label="AI智能体：" path="enableAgent">
               <n-switch v-model:value="formValue.enableAgent"/>
             </n-form-item-gi>
+            <n-form-item-gi :span="11" label="东财唯一标识：" path="qgqpBId">
+              <n-input type="text" placeholder="东财唯一标识" v-model:value="formValue.qgqpBId" clearable/>
+            </n-form-item-gi>
 
             <n-form-item-gi :span="11" label="赞助码：" path="sponsorCode">
               <n-input-group>
@@ -381,14 +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>
 
 
@@ -445,6 +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/components/stockhotmap.vue

@@ -24,6 +24,10 @@ import EmbeddedUrl from "./EmbeddedUrl.vue";
     <n-tab-pane name="财联社-行情数据" tab="财联社-行情数据">
       <embedded-url url="https://www.cls.cn/quotation"  :height="'calc(100vh - 252px)'"/>
     </n-tab-pane>
+    <n-tab-pane name="消息墙" tab="消息墙">
+      <embedded-url url="https://go-stock.sparkmemory.top:16667/go-stock"  :height="'calc(100vh - 252px)'"/>
+    </n-tab-pane>
+
 
 
     <n-tab-pane name="欢迎推荐更多有趣的财经网页" tab="欢迎推荐更多有趣的财经网页">

frontend/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
@@ -394,6 +378,7 @@ export namespace data {
 	    httpProxy: string;
 	    httpProxyEnabled: boolean;
 	    enableAgent: boolean;
+	    qgqpBId: string;
 	    aiConfigs: AIConfig[];
 	
 	    static createFrom(source: any = {}) {
@@ -430,6 +415,7 @@ export namespace data {
 	        this.httpProxy = source["httpProxy"];
 	        this.httpProxyEnabled = source["httpProxyEnabled"];
 	        this.enableAgent = source["enableAgent"];
+	        this.qgqpBId = source["qgqpBId"];
 	        this.aiConfigs = this.convertValues(source["aiConfigs"], AIConfig);
 	    }
 	
@@ -725,6 +711,210 @@ 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;
+	    stockCurrentPrice: string;
+	    stockCurrentPriceTime: 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.stockCurrentPrice = source["stockCurrentPrice"];
+	        this.stockCurrentPriceTime = source["stockCurrentPriceTime"];
+	        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;
@@ -743,6 +933,26 @@ export namespace models {
 	        this.type = source["type"];
 	    }
 	}
+	export class SentimentResult {
+	    Score: number;
+	    Category: number;
+	    PositiveCount: number;
+	    NegativeCount: number;
+	    Description: string;
+	
+	    static createFrom(source: any = {}) {
+	        return new SentimentResult(source);
+	    }
+	
+	    constructor(source: any = {}) {
+	        if ('string' === typeof source) source = JSON.parse(source);
+	        this.Score = source["Score"];
+	        this.Category = source["Category"];
+	        this.PositiveCount = source["PositiveCount"];
+	        this.NegativeCount = source["NegativeCount"];
+	        this.Description = source["Description"];
+	    }
+	}
 	export class VersionInfo {
 	    ID: number;
 	    // Go type: time

frontend/wailsjs/runtime/runtime.js

@@ -48,6 +48,10 @@ export function EventsOff(eventName, ...additionalEventNames) {
     return window.runtime.EventsOff(eventName, ...additionalEventNames);
 }
 
+export function EventsOffAll() {
+  return window.runtime.EventsOffAll();
+}
+
 export function EventsOnce(eventName, callback) {
     return EventsOnMultiple(eventName, callback, 1);
 }

go.mod

@@ -3,95 +3,96 @@ module go-stock
 go 1.25.0
 
 require (
-	github.com/PuerkitoBio/goquery v1.10.1
-	github.com/chromedp/chromedp v0.14.1
-	github.com/cloudwego/eino v0.4.1
-	github.com/cloudwego/eino-ext/components/model/ark v0.1.19
-	github.com/cloudwego/eino-ext/components/model/deepseek v0.0.0-20250804092122-8845979a2228
-	github.com/cloudwego/eino-ext/components/model/openai v0.0.0-20250804092122-8845979a2228
+	github.com/PuerkitoBio/goquery v1.11.0
+	github.com/chromedp/chromedp v0.14.2
+	github.com/cloudwego/eino v0.7.9
+	github.com/cloudwego/eino-ext/components/model/ark v0.1.52
+	github.com/cloudwego/eino-ext/components/model/deepseek v0.1.0
+	github.com/cloudwego/eino-ext/components/model/openai v0.1.5
 	github.com/coocood/freecache v1.2.4
-	github.com/duke-git/lancet/v2 v2.3.4
+	github.com/duke-git/lancet/v2 v2.3.8
 	github.com/energye/systray v1.0.2
 	github.com/gen2brain/beeep v0.11.1
 	github.com/glebarez/sqlite v1.11.0
 	github.com/go-ego/gse v0.80.3
-	github.com/go-resty/resty/v2 v2.16.2
+	github.com/go-resty/resty/v2 v2.17.0
 	github.com/go-toast/toast v0.0.0-20190211030409-01e6764cf0a4
 	github.com/inconshreveable/go-update v0.0.0-20160112193335-8152e7eb6ccf
 	github.com/robertkrimen/otto v0.5.1
 	github.com/robfig/cron/v3 v3.0.1
-	github.com/samber/lo v1.49.1
-	github.com/stretchr/testify v1.10.0
-	github.com/tidwall/gjson v1.14.4
-	github.com/wailsapp/wails/v2 v2.10.1
-	go.uber.org/zap v1.27.0
-	golang.org/x/net v0.38.0
-	golang.org/x/sys v0.36.0
-	golang.org/x/text v0.26.0
+	github.com/samber/lo v1.52.0
+	github.com/stretchr/testify v1.11.1
+	github.com/tidwall/gjson v1.18.0
+	github.com/wailsapp/wails/v2 v2.11.0
+	go.uber.org/zap v1.27.1
+	golang.org/x/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
 	gopkg.in/natefinch/lumberjack.v2 v2.2.1
-	gorm.io/gorm v1.25.12
-	gorm.io/plugin/dbresolver v1.5.3
+	gorm.io/gorm v1.31.1
+	gorm.io/plugin/dbresolver v1.6.2
 	gorm.io/plugin/soft_delete v1.2.1
 )
 
 require (
 	git.sr.ht/~jackmordaunt/go-toast v1.1.2 // indirect
 	github.com/andybalholm/cascadia v1.3.3 // indirect
+	github.com/bahlo/generic-list-go v0.2.0 // indirect
 	github.com/bep/debounce v1.2.1 // indirect
-	github.com/bytedance/sonic v1.14.0 // indirect
-	github.com/bytedance/sonic/loader v0.3.0 // indirect
-	github.com/cespare/xxhash/v2 v2.1.2 // indirect
+	github.com/buger/jsonparser v1.1.1 // indirect
+	github.com/bytedance/gopkg v0.1.3 // indirect
+	github.com/bytedance/sonic v1.14.2 // indirect
+	github.com/bytedance/sonic/loader v0.4.0 // indirect
+	github.com/cenkalti/backoff/v4 v4.3.0 // indirect
+	github.com/cespare/xxhash/v2 v2.3.0 // indirect
 	github.com/chromedp/cdproto v0.0.0-20250803210736-d308e07a266d // indirect
 	github.com/chromedp/sysutil v1.1.0 // indirect
 	github.com/cloudwego/base64x v0.1.6 // indirect
-	github.com/cloudwego/eino-ext/libs/acl/openai v0.0.0-20250804062529-6e67726a4b3f // indirect
+	github.com/cloudwego/eino-ext/libs/acl/openai v0.1.6 // indirect
 	github.com/cohesion-org/deepseek-go v1.3.2 // indirect
 	github.com/davecgh/go-spew v1.1.1 // indirect
 	github.com/dustin/go-humanize v1.0.1 // indirect
+	github.com/eino-contrib/jsonschema v1.0.3 // indirect
 	github.com/esiqveland/notify v0.13.3 // indirect
 	github.com/evanphx/json-patch v0.5.2 // indirect
-	github.com/getkin/kin-openapi v0.118.0 // indirect
-	github.com/glebarez/go-sqlite v1.21.2 // indirect
-	github.com/go-json-experiment/json v0.0.0-20250910080747-cc2cfa0554c3 // indirect
+	github.com/glebarez/go-sqlite v1.22.0 // indirect
+	github.com/go-json-experiment/json v0.0.0-20251027170946-4849db3c2f7e // indirect
 	github.com/go-ole/go-ole v1.3.0 // indirect
-	github.com/go-openapi/jsonpointer v0.21.0 // indirect
-	github.com/go-openapi/swag v0.23.0 // indirect
 	github.com/gobwas/httphead v0.1.0 // indirect
 	github.com/gobwas/pool v0.2.1 // indirect
 	github.com/gobwas/ws v1.4.0 // indirect
-	github.com/godbus/dbus/v5 v5.1.0 // indirect
+	github.com/godbus/dbus/v5 v5.2.0 // indirect
 	github.com/google/uuid v1.6.0 // indirect
 	github.com/goph/emperror v0.17.2 // indirect
-	github.com/invopop/yaml v0.1.0 // indirect
+	github.com/gorilla/websocket v1.5.3 // indirect
 	github.com/jackmordaunt/icns/v3 v3.0.1 // indirect
-	github.com/jchv/go-winloader v0.0.0-20210711035445-715c2860da7e // indirect
+	github.com/jchv/go-winloader v0.0.0-20250406163304-c1995be93bd1 // indirect
 	github.com/jinzhu/inflection v1.0.0 // indirect
 	github.com/jinzhu/now v1.1.5 // indirect
 	github.com/jmespath/go-jmespath v0.4.0 // indirect
 	github.com/joho/godotenv v1.5.1 // indirect
-	github.com/josharian/intern v1.0.0 // indirect
 	github.com/json-iterator/go v1.1.12 // indirect
 	github.com/klauspost/cpuid/v2 v2.3.0 // indirect
-	github.com/labstack/echo/v4 v4.13.3 // indirect
+	github.com/kr/pretty v0.3.1 // indirect
+	github.com/labstack/echo/v4 v4.13.4 // indirect
 	github.com/labstack/gommon v0.4.2 // indirect
 	github.com/leaanthony/go-ansi-parser v1.6.1 // indirect
 	github.com/leaanthony/gosod v1.0.4 // indirect
 	github.com/leaanthony/slicer v1.6.0 // indirect
 	github.com/leaanthony/u v1.1.1 // indirect
-	github.com/mailru/easyjson v0.7.7 // indirect
-	github.com/mattn/go-colorable v0.1.13 // indirect
+	github.com/mailru/easyjson v0.9.1 // indirect
+	github.com/mattn/go-colorable v0.1.14 // indirect
 	github.com/mattn/go-isatty v0.0.20 // indirect
-	github.com/meguminnnnnnnnn/go-openai v0.0.0-20250723112853-3bce976e5ccc // indirect
+	github.com/meguminnnnnnnnn/go-openai v0.1.1 // indirect
 	github.com/modern-go/concurrent v0.0.0-20180306012644-bacd9c7ef1dd // indirect
 	github.com/modern-go/reflect2 v1.0.2 // indirect
-	github.com/mohae/deepcopy v0.0.0-20170929034955-c48cc78d4826 // indirect
+	github.com/ncruces/go-strftime v1.0.0 // indirect
 	github.com/nfnt/resize v0.0.0-20180221191011-83c6a9932646 // indirect
 	github.com/nikolalohinski/gonja v1.5.3 // indirect
 	github.com/nu7hatch/gouuid v0.0.0-20131221200532-179d4d0c4d8d // indirect
-	github.com/ollama/ollama v0.6.5 // indirect
-	github.com/openai/openai-go v1.10.1 // indirect
-	github.com/pelletier/go-toml/v2 v2.2.2 // indirect
-	github.com/perimeterx/marshmallow v1.1.5 // indirect
+	github.com/ollama/ollama v0.13.0 // indirect
+	github.com/pelletier/go-toml/v2 v2.2.4 // indirect
 	github.com/pkg/browser v0.0.0-20240102092130-5ac0b6a4141c // indirect
 	github.com/pkg/errors v0.9.1 // indirect
 	github.com/pmezard/go-difflib v1.0.0 // indirect
@@ -99,35 +100,35 @@ require (
 	github.com/rivo/uniseg v0.4.7 // indirect
 	github.com/rogpeppe/go-internal v1.14.1 // indirect
 	github.com/sergeymakinen/go-bmp v1.0.0 // indirect
-	github.com/sergeymakinen/go-ico v1.0.0-beta.0 // indirect
+	github.com/sergeymakinen/go-ico v1.0.0 // indirect
 	github.com/sirupsen/logrus v1.9.3 // indirect
 	github.com/slongfield/pyfmt v0.0.0-20220222012616-ea85ff4c361f // indirect
 	github.com/tadvi/systray v0.0.0-20190226123456-11a2b8fa57af // indirect
 	github.com/tevino/abool v0.0.0-20220530134649-2bfc934cb23c // indirect
-	github.com/tidwall/match v1.1.1 // indirect
+	github.com/tidwall/match v1.2.0 // indirect
 	github.com/tidwall/pretty v1.2.1 // indirect
-	github.com/tidwall/sjson v1.2.5 // indirect
 	github.com/tkrajina/go-reflector v0.5.8 // indirect
 	github.com/twitchyliquid64/golang-asm v0.15.1 // indirect
 	github.com/valyala/bytebufferpool v1.0.0 // indirect
 	github.com/valyala/fasttemplate v1.2.2 // indirect
 	github.com/vcaesar/cedar v0.20.2 // indirect
-	github.com/volcengine/volc-sdk-golang v1.0.23 // indirect
-	github.com/volcengine/volcengine-go-sdk v1.1.21 // indirect
-	github.com/wailsapp/go-webview2 v1.0.19 // indirect
+	github.com/volcengine/volc-sdk-golang v1.0.229 // indirect
+	github.com/volcengine/volcengine-go-sdk v1.1.50 // indirect
+	github.com/wailsapp/go-webview2 v1.0.23 // indirect
 	github.com/wailsapp/mimetype v1.4.1 // indirect
+	github.com/wk8/go-ordered-map/v2 v2.1.8 // indirect
 	github.com/yargevad/filepathx v1.0.0 // indirect
-	go.uber.org/multierr v1.10.0 // indirect
-	golang.org/x/arch v0.20.0 // indirect
-	golang.org/x/crypto v0.39.0 // indirect
-	golang.org/x/exp v0.0.0-20250218142911-aa4b98e5adaa // indirect
+	go.uber.org/multierr v1.11.0 // indirect
+	golang.org/x/arch v0.23.0 // indirect
+	golang.org/x/crypto v0.45.0 // indirect
+	google.golang.org/protobuf v1.36.10 // indirect
 	gopkg.in/sourcemap.v1 v1.0.5 // indirect
 	gopkg.in/yaml.v2 v2.4.0 // indirect
 	gopkg.in/yaml.v3 v3.0.1 // indirect
-	modernc.org/libc v1.22.5 // indirect
-	modernc.org/mathutil v1.5.0 // indirect
-	modernc.org/memory v1.5.0 // indirect
-	modernc.org/sqlite v1.23.1 // indirect
+	modernc.org/libc v1.67.1 // indirect
+	modernc.org/mathutil v1.7.1 // indirect
+	modernc.org/memory v1.11.0 // indirect
+	modernc.org/sqlite v1.40.1 // indirect
 )
 
 // replace github.com/wailsapp/wails/v2 v2.9.2 => C:\Users\spark\go\pkg\mod

main.go

@@ -58,6 +58,13 @@ var OFFICIAL_STATEMENT string
 var BuildKey string
 
 func main() {
+	defer func() {
+		if r := recover(); r != nil {
+			log.SugaredLogger.Error("panic: ", r)
+			log.SugaredLogger.Error("stack: ", string(debug.Stack()))
+		}
+	}()
+
 	checkDir("data")
 	db.Init("")
 	data.InitAnalyzeSentiment()
@@ -68,6 +75,10 @@ func main() {
 	//	Sort: 0,
 	//})
 
+	log.SugaredLogger.Info("starting...")
+	log.SugaredLogger.Infof("version: %s  commit: %s", Version, VersionCommit)
+	//log.SugaredLogger.Infof("build key: %s", BuildKey)
+
 	// Create an instance of the app structure
 	app := NewApp()
 	AppMenu := menu.NewMenu()
@@ -141,16 +152,16 @@ 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,
 		OnShutdown:               app.shutdown,
 		WindowStartState:         options.Normal,
 		SingleInstanceLock: &options.SingleInstanceLock{
-			UniqueId:               "go-stock-dev",
+			UniqueId:               "go-stock",
 			OnSecondInstanceLaunch: OnSecondInstanceLaunch,
 		},
 		Bind: []interface{}{
@@ -178,7 +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,
 			},
 		},
@@ -230,8 +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) {