feat(settings):添加AI智能体功能开关(建议关闭，使用体验不理想)

- 在设置界面新增AI智能体启用开关 - 支持保存和读取AI智能体启用状态 - 更新配置模型以支持新的启用选项 - 动态控制菜单项显示状态 - 同步前后端配置结构以支持新功能
feat(stockhotmap):添加财联社行情数据标签页
2025-10-31 17:11:17 +08:00 · 2025-10-31 16:54:05 +08:00 · 2025-10-29 16:18:29 +08:00 · 2025-10-29 16:13:30 +08:00 · 2025-10-27 18:16:25 +08:00 · 2025-10-27 18:15:02 +08:00
13 changed files with 188 additions and 141 deletions
--- a/README.md
+++ b/README.md
@@ -62,7 +62,7 @@
 | 功能说明            | 状态 | 备注                                                                                                       |
 |-----------------|----|----------------------------------------------------------------------------------------------------------|
 | 股票分析知识库         | 🚧 | 未来计划                                                                                                     |
-| Ai智能选股          | 🚧 | Ai智能选股功能开发中(下半年重点开发计划)                                                                                   |
+| Ai智能选股          | ✅ | Ai智能选股功能(市场行情-》AI总结/AI智能体功能)                                                                             |
 | ETF支持           | 🚧 | ETF数据支持 (目前可以查看净值和估值)                                                                                    |
 | 美股支持            | ✅  | 美股数据支持                                                                                                   |
 | 港股支持            | ✅  | 港股数据支持                                                                                                   |
--- a/app.go
+++ b/app.go
@@ -131,37 +131,37 @@ func AddTools(tools []data.Tool) []data.Tool {
 		},
 	})

-	tools = append(tools, data.Tool{
-		Type: "function",
-		Function: data.ToolFunction{
-			Name:        "QueryBKDictInfo",
-			Description: "获取所有板块/行业名称或者代码(bkCode,bkName)",
-		},
-	})
+	//tools = append(tools, data.Tool{
+	//	Type: "function",
+	//	Function: data.ToolFunction{
+	//		Name:        "QueryBKDictInfo",
+	//		Description: "获取所有板块/行业名称或者代码(bkCode,bkName)",
+	//	},
+	//})

-	tools = append(tools, data.Tool{
-		Type: "function",
-		Function: data.ToolFunction{
-			Name:        "GetIndustryResearchReport",
-			Description: "获取行业/板块研究报告",
-			Parameters: data.FunctionParameters{
-				Type: "object",
-				Properties: map[string]any{
-					"bkCode": map[string]any{
-						"type":        "string",
-						"description": "板块/行业代码",
-					},
-				},
-				Required: []string{"bkCode"},
-			},
-		},
-	})
+	//tools = append(tools, data.Tool{
+	//	Type: "function",
+	//	Function: data.ToolFunction{
+	//		Name:        "GetIndustryResearchReport",
+	//		Description: "获取行业/板块研究报告,请先使用QueryBKDictInfo工具获取行业代码，然后输入行业代码调用",
+	//		Parameters: data.FunctionParameters{
+	//			Type: "object",
+	//			Properties: map[string]any{
+	//				"bkCode": map[string]any{
+	//					"type":        "string",
+	//					"description": "板块/行业代码",
+	//				},
+	//			},
+	//			Required: []string{"bkCode"},
+	//		},
+	//	},
+	//})

 	tools = append(tools, data.Tool{
 		Type: "function",
 		Function: data.ToolFunction{
 			Name:        "GetStockResearchReport",
-			Description: "获取机构的股票分析/研究报告",
+			Description: "获取股票的分析/研究报告",
 			Parameters: data.FunctionParameters{
 				Type: "object",
 				Properties: map[string]any{
--- a/backend/agent/tools/choice_stock_by_indicators_tool.go
+++ b/backend/agent/tools/choice_stock_by_indicators_tool.go
@@ -4,11 +4,12 @@ import (
 	"context"
 	"encoding/json"
 	"fmt"
+	"go-stock/backend/data"
+
 	"github.com/cloudwego/eino/components/tool"
 	"github.com/cloudwego/eino/schema"
 	"github.com/duke-git/lancet/v2/convertor"
 	"github.com/duke-git/lancet/v2/random"
-	"go-stock/backend/data"
 )

 // @Author spark
@@ -55,7 +56,7 @@ func (c ChoiceStockByIndicators) InvokableRun(ctx context.Context, argumentsInJS
 	}
 	content := "无符合条件的数据"
 	words := parms["words"].(string)
-	res := data.NewSearchStockApi(words).SearchStock(random.RandInt(5, 10))
+	res := data.NewSearchStockApi(words).SearchStock(random.RandInt(5, 20))
 	if convertor.ToString(res["code"]) == "100" {
 		resData := res["data"].(map[string]any)
 		result := resData["result"].(map[string]any)
--- a/backend/data/market_news_api.go
+++ b/backend/data/market_news_api.go
@@ -117,6 +117,27 @@ func (m MarketNewsApi) GetNewsList(source string, limit int) *[]*models.Telegrap
 	}
 	return news
 }
+func (m MarketNewsApi) GetNewsList2(source string, limit int) *[]*models.Telegraph {
+	news := &[]*models.Telegraph{}
+	if source != "" {
+		db.Dao.Model(news).Preload("TelegraphTags").Where("source=?", source).Order("id 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)
+	}
+	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) GetTelegraphList(source string) *[]*models.Telegraph {
 	news := &[]*models.Telegraph{}
 	if source != "" {
--- a/backend/data/market_news_api_test.go
+++ b/backend/data/market_news_api_test.go
@@ -73,7 +73,7 @@ func TestLongTiger(t *testing.T) {

 func TestStockResearchReport(t *testing.T) {
 	db.Init("../../data/stock.db")
-	resp := NewMarketNewsApi().StockResearchReport("600584.sh", 7)
+	resp := NewMarketNewsApi().StockResearchReport("688082", 7)
 	for _, a := range resp {
 		logger.SugaredLogger.Debugf("value: %+v", a)
 		data := a.(map[string]any)
--- a/backend/data/openai_api.go
+++ b/backend/data/openai_api.go
@@ -16,7 +16,6 @@ import (

 	"github.com/PuerkitoBio/goquery"
 	"github.com/chromedp/chromedp"
-	"github.com/coocood/freecache"
 	"github.com/duke-git/lancet/v2/convertor"
 	"github.com/duke-git/lancet/v2/random"
 	"github.com/duke-git/lancet/v2/strutil"
@@ -325,7 +324,7 @@ func (o *OpenAi) NewSummaryStockNewsStreamWithTools(userQuestion string, sysProm
 		}()
 		wg.Wait()

-		news := NewMarketNewsApi().GetNewsList("财联社电报", random.RandInt(100, 500))
+		news := NewMarketNewsApi().GetNewsList2("财联社电报", random.RandInt(100, 500))
 		messageText := strings.Builder{}
 		for _, telegraph := range *news {
 			messageText.WriteString("## " + telegraph.Time + ":" + "\n")
@@ -474,7 +473,7 @@ func (o *OpenAi) NewSummaryStockNewsStream(userQuestion string, sysPromptId *int

 		wg.Wait()

-		news := NewMarketNewsApi().GetNewsList("", 100)
+		news := NewMarketNewsApi().GetNewsList2("财联社电报", random.RandInt(100, 500))
 		messageText := strings.Builder{}
 		for _, telegraph := range *news {
 			messageText.WriteString("## " + telegraph.Time + ":" + "\n")
@@ -1156,7 +1155,7 @@ func AskAiWithTools(o *OpenAi, err error, messages []map[string]interface{}, ch
 								}

 								content := "无符合条件的数据"
-								res := NewSearchStockApi(words).SearchStock(random.RandInt(5, 10))
+								res := NewSearchStockApi(words).SearchStock(random.RandInt(5, 20))
 								if convertor.ToString(res["code"]) == "100" {
 									resData := res["data"].(map[string]any)
 									result := resData["result"].(map[string]any)
@@ -1367,98 +1366,98 @@ func AskAiWithTools(o *OpenAi, err error, messages []map[string]interface{}, ch
 									"tool_call_id": currentCallId,
 								})
 							}
+							//
+							//if funcName == "QueryBKDictInfo" {
+							//	ch <- map[string]any{
+							//		"code":     1,
+							//		"question": question,
+							//		"chatId":   streamResponse.Id,
+							//		"model":    streamResponse.Model,
+							//		"content":  "\r\n```\r\n开始调用工具：QueryBKDictInfo，\n参数：" + funcArguments + "\r\n```\r\n",
+							//		"time":     time.Now().Format(time.DateTime),
+							//	}
+							//	res := NewMarketNewsApi().EMDictCode("016", freecache.NewCache(100))
+							//	bytes, err := json.Marshal(res)
+							//	if err != nil {
+							//		return
+							//	}
+							//	dict := &[]models.BKDict{}
+							//	json.Unmarshal(bytes, dict)
+							//	md := util.MarkdownTableWithTitle("行业/板块代码", dict)
+							//	logger.SugaredLogger.Infof("行业/板块代码=\n%s", md)
+							//	messages = append(messages, map[string]interface{}{
+							//		"role":    "assistant",
+							//		"content": currentAIContent.String(),
+							//		"tool_calls": []map[string]any{
+							//			{
+							//				"id":           currentCallId,
+							//				"tool_call_id": currentCallId,
+							//				"type":         "function",
+							//				"function": map[string]string{
+							//					"name":       funcName,
+							//					"arguments":  funcArguments,
+							//					"parameters": funcArguments,
+							//				},
+							//			},
+							//		},
+							//	})
+							//	messages = append(messages, map[string]interface{}{
+							//		"role":         "tool",
+							//		"content":      md,
+							//		"tool_call_id": currentCallId,
+							//	})
+							//}

-							if funcName == "QueryBKDictInfo" {
-								ch <- map[string]any{
-									"code":     1,
-									"question": question,
-									"chatId":   streamResponse.Id,
-									"model":    streamResponse.Model,
-									"content":  "\r\n```\r\n开始调用工具：QueryBKDictInfo，\n参数：" + funcArguments + "\r\n```\r\n",
-									"time":     time.Now().Format(time.DateTime),
-								}
-								res := NewMarketNewsApi().EMDictCode("016", freecache.NewCache(100))
-								bytes, err := json.Marshal(res)
-								if err != nil {
-									return
-								}
-								dict := &[]models.BKDict{}
-								json.Unmarshal(bytes, dict)
-								md := util.MarkdownTableWithTitle("行业/板块代码", dict)
-								logger.SugaredLogger.Infof("行业/板块代码=\n%s", md)
-								messages = append(messages, map[string]interface{}{
-									"role":    "assistant",
-									"content": currentAIContent.String(),
-									"tool_calls": []map[string]any{
-										{
-											"id":           currentCallId,
-											"tool_call_id": currentCallId,
-											"type":         "function",
-											"function": map[string]string{
-												"name":       funcName,
-												"arguments":  funcArguments,
-												"parameters": funcArguments,
-											},
-										},
-									},
-								})
-								messages = append(messages, map[string]interface{}{
-									"role":         "tool",
-									"content":      md,
-									"tool_call_id": currentCallId,
-								})
-							}
-
-							if funcName == "GetIndustryResearchReport" {
-								bkCode := gjson.Get(funcArguments, "bkCode").String()
-								ch <- map[string]any{
-									"code":     1,
-									"question": question,
-									"chatId":   streamResponse.Id,
-									"model":    streamResponse.Model,
-									"content":  "\r\n```\r\n开始调用工具：GetIndustryResearchReport，\n参数：" + bkCode + "\r\n```\r\n",
-									"time":     time.Now().Format(time.DateTime),
-								}
-								bkCode = strutil.ReplaceWithMap(bkCode, map[string]string{
-									"-":   "",
-									"_":   "",
-									"bk":  "",
-									"BK":  "",
-									"bk0": "",
-									"BK0": "",
-								})
-
-								logger.SugaredLogger.Debugf("code:%s", bkCode)
-								codeStr := convertor.ToString(bkCode)
-								res := NewMarketNewsApi().IndustryResearchReport(codeStr, 7)
-								md := strings.Builder{}
-								for _, a := range res {
-									d := a.(map[string]any)
-									md.WriteString(NewMarketNewsApi().GetIndustryReportInfo(d["infoCode"].(string)))
-								}
-								logger.SugaredLogger.Infof("bkCode:%s IndustryResearchReport:\n %s", bkCode, md.String())
-								messages = append(messages, map[string]interface{}{
-									"role":    "assistant",
-									"content": currentAIContent.String(),
-									"tool_calls": []map[string]any{
-										{
-											"id":           currentCallId,
-											"tool_call_id": currentCallId,
-											"type":         "function",
-											"function": map[string]string{
-												"name":       funcName,
-												"arguments":  funcArguments,
-												"parameters": funcArguments,
-											},
-										},
-									},
-								})
-								messages = append(messages, map[string]interface{}{
-									"role":         "tool",
-									"content":      md.String(),
-									"tool_call_id": currentCallId,
-								})
-							}
+							//if funcName == "GetIndustryResearchReport" {
+							//	bkCode := gjson.Get(funcArguments, "bkCode").String()
+							//	ch <- map[string]any{
+							//		"code":     1,
+							//		"question": question,
+							//		"chatId":   streamResponse.Id,
+							//		"model":    streamResponse.Model,
+							//		"content":  "\r\n```\r\n开始调用工具：GetIndustryResearchReport，\n参数：" + bkCode + "\r\n```\r\n",
+							//		"time":     time.Now().Format(time.DateTime),
+							//	}
+							//	bkCode = strutil.ReplaceWithMap(bkCode, map[string]string{
+							//		"-":   "",
+							//		"_":   "",
+							//		"bk":  "",
+							//		"BK":  "",
+							//		"bk0": "",
+							//		"BK0": "",
+							//	})
+							//
+							//	logger.SugaredLogger.Debugf("code:%s", bkCode)
+							//	codeStr := convertor.ToString(bkCode)
+							//	res := NewMarketNewsApi().IndustryResearchReport(codeStr, 7)
+							//	md := strings.Builder{}
+							//	for _, a := range res {
+							//		d := a.(map[string]any)
+							//		md.WriteString(NewMarketNewsApi().GetIndustryReportInfo(d["infoCode"].(string)))
+							//	}
+							//	logger.SugaredLogger.Infof("bkCode:%s IndustryResearchReport:\n %s", bkCode, md.String())
+							//	messages = append(messages, map[string]interface{}{
+							//		"role":    "assistant",
+							//		"content": currentAIContent.String(),
+							//		"tool_calls": []map[string]any{
+							//			{
+							//				"id":           currentCallId,
+							//				"tool_call_id": currentCallId,
+							//				"type":         "function",
+							//				"function": map[string]string{
+							//					"name":       funcName,
+							//					"arguments":  funcArguments,
+							//					"parameters": funcArguments,
+							//				},
+							//			},
+							//		},
+							//	})
+							//	messages = append(messages, map[string]interface{}{
+							//		"role":         "tool",
+							//		"content":      md.String(),
+							//		"tool_call_id": currentCallId,
+							//	})
+							//}

 							if funcName == "GetStockResearchReport" {
 								stockCode := gjson.Get(funcArguments, "stockCode").String()
--- a/backend/data/search_stock_api.go
+++ b/backend/data/search_stock_api.go
@@ -3,9 +3,10 @@ package data
 import (
 	"encoding/json"
 	"fmt"
-	"github.com/go-resty/resty/v2"
 	"go-stock/backend/logger"
 	"time"
+
+	"github.com/go-resty/resty/v2"
 )

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

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

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

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

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

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

 		//更新AiConfig
--- a/frontend/src/App.vue
+++ b/frontend/src/App.vue
@@ -43,6 +43,7 @@ const loadingMsg = ref("加载数据中...")
 const enableNews = ref(false)
 const contentStyle = ref("")
 const enableFund = ref(false)
+const enableAgent = ref(false)
 const enableDarkTheme = ref(null)
 const content = ref('未经授权,禁止商业目的!\n\n数据来源于网络,仅供参考;投资有风险,入市需谨慎')
 const isFullscreen = ref(false)
@@ -440,6 +441,7 @@ const menuOptions = ref([
            {default: () => 'Ai智能体'}
        ),
    key: 'agent',
+    show:enableAgent.value,
    icon: renderIcon(Robot),
  },
  {
@@ -646,11 +648,15 @@ onBeforeMount(() => {
  GetConfig().then((res) => {
    //console.log(res)
    enableFund.value = res.enableFund
+    enableAgent.value = res.enableAgent

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

    if (res.darkTheme) {
@@ -668,6 +674,7 @@ onMounted(() => {
      enableNews.value = true
    }
    enableFund.value = res.enableFund
+    enableAgent.value = res.enableAgent
    const {notification } =createDiscreteApi(["notification"], {
      configProviderProps: {
        theme: enableDarkTheme.value ? darkTheme : lightTheme ,
--- a/frontend/src/components/settings.vue
+++ b/frontend/src/components/settings.vue
@@ -45,6 +45,7 @@ const formValue = ref({
  sponsorCode: "",
  httpProxy:"",
  httpProxyEnabled:false,
+  enableAgent: false,
 })

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

  })

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

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


    <n-tab-pane name="欢迎推荐更多有趣的财经网页" tab="欢迎推荐更多有趣的财经网页">
--- a/frontend/wailsjs/go/models.ts
+++ b/frontend/wailsjs/go/models.ts
@@ -393,6 +393,7 @@ export namespace data {
 	    sponsorCode: string;
 	    httpProxy: string;
 	    httpProxyEnabled: boolean;
+	    enableAgent: boolean;
 	    aiConfigs: AIConfig[];
 	
 	    static createFrom(source: any = {}) {
@@ -428,6 +429,7 @@ export namespace data {
 	        this.sponsorCode = source["sponsorCode"];
 	        this.httpProxy = source["httpProxy"];
 	        this.httpProxyEnabled = source["httpProxyEnabled"];
+	        this.enableAgent = source["enableAgent"];
 	        this.aiConfigs = this.convertValues(source["aiConfigs"], AIConfig);
 	    }
Author	SHA1	Message	Date
ArvinLovegood	d8971935ee	feat(settings):添加AI智能体功能开关(建议关闭，使用体验不理想) - 在设置界面新增AI智能体启用开关 - 支持保存和读取AI智能体启用状态 - 更新配置模型以支持新的启用选项 - 动态控制菜单项显示状态 - 同步前后端配置结构以支持新功能	2025-10-31 17:11:17 +08:00
ArvinLovegood	9c68458b81	feat(stockhotmap):添加财联社行情数据标签页 - 在 stockhotmap 组件中新增财联社-行情数据标签页 - 配置嵌入链接指向 https://www.cls.cn/quotation - 设置高度为 calc(100vh - 252px) 以适配页面布局	2025-10-31 16:54:05 +08:00
ArvinLovegood	b367d1eb40	feat(stockhotmap):启用百度股市通和摸鱼网页标签页 - 取消注释百度股市通标签页，恢复其功能 - 取消注释摸鱼标签页，恢复其功能 -保持其他标签页配置不变	2025-10-29 16:18:29 +08:00
ArvinLovegood	8fe79adbb1	feat(stock):增加股票搜索结果数量并优化搜索条件 - 将随机返回的股票数量从5-10支增加到5-20支 - 更新测试用例中的搜索关键词，提高筛选条件准确性 - 调整搜索逻辑以适应新的数据范围和质量要求	2025-10-29 16:13:30 +08:00
ArvinLovegood	1d81fdba87	chore(deps):指标选股问题 - 将 User-Agent 中的 Firefox 版本从 140.0 更新为 145.0	2025-10-27 18:16:25 +08:00
ArvinLovegood	6aca0e15cc	fix(backend): 指标选股问题 - 修改fingerprint和requestId为新的固定值 - 将timestamp设置为动态生成的时间戳 - 更新xcId为新的标识符 - 在测试中增加返回结果的日志输出	2025-10-27 18:15:02 +08:00
ArvinLovegood	173ce6f243	fix(backend):修复新闻列表排序逻辑 - 将新闻列表按ID降序排列，确保最新新闻优先显示 - 保持is_red字段的降序排序，确保重要新闻优先显示 - 修复了查询条件中缺少的排序字段逗号问题	2025-09-29 18:10:55 +08:00
ArvinLovegood	e7875e73d3	feat(backend):新增并使用GetNewsList2方法以支持标签功能 - 在MarketNewsApi中添加GetNewsList2方法，支持根据source和limit获取新闻列表 - GetNewsList2方法中预加载TelegraphTags并关联标签名称 - 修改openai_api.go中调用GetNewsList的地方为GetNewsList2- 调整获取新闻列表的参数，使用固定source和随机limit值	2025-09-29 17:34:31 +08:00
ArvinLovegood	ca4727db80	fix(app):更新股票研究报告工具描述 - 修改了GetStockResearchReport函数的描述信息 - 简化了描述文本，去除冗余的"机构的"前缀 - 保持了原有功能和参数结构不变	2025-09-27 19:12:51 +08:00
ArvinLovegood	84ffe7c5fd	refactor(openai_api):移除行业板块相关工具调用逻辑 - 注释掉QueryBKDictInfo工具的调用实现 - 注释掉GetIndustryResearchReport工具的调用实现 - 移除对freecache包的依赖引用- 保留GetStockResearchReport工具的调用逻辑 - 简化工具调用处理流程	2025-09-27 18:55:28 +08:00
ArvinLovegood	da02d1bd1c	feat(stock):更新股票研究报接口参数并完善行业研究描述 - 修改行业研究工具函数描述，增加调用前需查询行业代码的提示 - 更新股票研究报接口测试用例中的股票代码参数值 - 完善行业研究报相关功能的使用说明和参数校验逻辑- 优化研究报数据获取流程，提升接口稳定性与准确性	2025-09-27 16:59:05 +08:00
ArvinLovegood	bae2bf9c5c	docs(readme): 更新AI智能选股功能描述 - 在功能说明中添加AI智能体功能的描述 - 保持其他功能状态和备注信息不变	2025-09-27 15:46:33 +08:00
ArvinLovegood	6568b5949a	docs(readme): 更新AI智能选股功能状态 - 将AI智能选股功能状态从开发中更新为已完成 - 修改功能描述为"市场行情-》AI总结" - 调整了功能备注信息的表述方式	2025-09-27 15:44:03 +08:00