feat: auto fetch upstream models (#2979)

* feat: add upstream model update detection with scheduled sync and manual apply flows

* feat: support upstream model removal sync and selectable deletes in update modal

* feat: add detect-only upstream updates and show compact +/- model badges

* feat: improve upstream model update UX

* feat: improve upstream model update UX

* fix: respect model_mapping in upstream update detection

* feat: improve upstream update modal to prevent missed add/remove actions

* feat: add admin upstream model update notifications with digest and truncation

* fix: avoid repeated partial-submit confirmation in upstream update modal

* feat: improve ui/ux

* feat: suppress upstream update alerts for unchanged channel-count within 24h

* fix: submit upstream update choices even when no models are selected

* feat: improve upstream model update flow and split frontend updater

* fix merge conflict

controller/channel.go

@@ -209,157 +209,14 @@ func FetchUpstreamModels(c *gin.Context) {
 		return
 	}
 
-	baseURL := constant.ChannelBaseURLs[channel.Type]
-	if channel.GetBaseURL() != "" {
-		baseURL = channel.GetBaseURL()
-	}
-
-	// 对于 Ollama 渠道，使用特殊处理
-	if channel.Type == constant.ChannelTypeOllama {
-		key := strings.Split(channel.Key, "\n")[0]
-		models, err := ollama.FetchOllamaModels(baseURL, key)
-		if err != nil {
-			c.JSON(http.StatusOK, gin.H{
-				"success": false,
-				"message": fmt.Sprintf("获取Ollama模型失败: %s", err.Error()),
-			})
-			return
-		}
-
-		result := OpenAIModelsResponse{
-			Data: make([]OpenAIModel, 0, len(models)),
-		}
-
-		for _, modelInfo := range models {
-			metadata := map[string]any{}
-			if modelInfo.Size > 0 {
-				metadata["size"] = modelInfo.Size
-			}
-			if modelInfo.Digest != "" {
-				metadata["digest"] = modelInfo.Digest
-			}
-			if modelInfo.ModifiedAt != "" {
-				metadata["modified_at"] = modelInfo.ModifiedAt
-			}
-			details := modelInfo.Details
-			if details.ParentModel != "" || details.Format != "" || details.Family != "" || len(details.Families) > 0 || details.ParameterSize != "" || details.QuantizationLevel != "" {
-				metadata["details"] = modelInfo.Details
-			}
-			if len(metadata) == 0 {
-				metadata = nil
-			}
-
-			result.Data = append(result.Data, OpenAIModel{
-				ID:       modelInfo.Name,
-				Object:   "model",
-				Created:  0,
-				OwnedBy:  "ollama",
-				Metadata: metadata,
-			})
-		}
-
-		c.JSON(http.StatusOK, gin.H{
-			"success": true,
-			"data":    result.Data,
-		})
-		return
-	}
-
-	// 对于 Gemini 渠道，使用特殊处理
-	if channel.Type == constant.ChannelTypeGemini {
-		// 获取用于请求的可用密钥（多密钥渠道优先使用启用状态的密钥）
-		key, _, apiErr := channel.GetNextEnabledKey()
-		if apiErr != nil {
-			c.JSON(http.StatusOK, gin.H{
-				"success": false,
-				"message": fmt.Sprintf("获取渠道密钥失败: %s", apiErr.Error()),
-			})
-			return
-		}
-		key = strings.TrimSpace(key)
-		models, err := gemini.FetchGeminiModels(baseURL, key, channel.GetSetting().Proxy)
-		if err != nil {
-			c.JSON(http.StatusOK, gin.H{
-				"success": false,
-				"message": fmt.Sprintf("获取Gemini模型失败: %s", err.Error()),
-			})
-			return
-		}
-
-		c.JSON(http.StatusOK, gin.H{
-			"success": true,
-			"message": "",
-			"data":    models,
-		})
-		return
-	}
-
-	var url string
-	switch channel.Type {
-	case constant.ChannelTypeAli:
-		url = fmt.Sprintf("%s/compatible-mode/v1/models", baseURL)
-	case constant.ChannelTypeZhipu_v4:
-		if plan, ok := constant.ChannelSpecialBases[baseURL]; ok && plan.OpenAIBaseURL != "" {
-			url = fmt.Sprintf("%s/models", plan.OpenAIBaseURL)
-		} else {
-			url = fmt.Sprintf("%s/api/paas/v4/models", baseURL)
-		}
-	case constant.ChannelTypeVolcEngine:
-		if plan, ok := constant.ChannelSpecialBases[baseURL]; ok && plan.OpenAIBaseURL != "" {
-			url = fmt.Sprintf("%s/v1/models", plan.OpenAIBaseURL)
-		} else {
-			url = fmt.Sprintf("%s/v1/models", baseURL)
-		}
-	case constant.ChannelTypeMoonshot:
-		if plan, ok := constant.ChannelSpecialBases[baseURL]; ok && plan.OpenAIBaseURL != "" {
-			url = fmt.Sprintf("%s/models", plan.OpenAIBaseURL)
-		} else {
-			url = fmt.Sprintf("%s/v1/models", baseURL)
-		}
-	default:
-		url = fmt.Sprintf("%s/v1/models", baseURL)
-	}
-
-	// 获取用于请求的可用密钥（多密钥渠道优先使用启用状态的密钥）
-	key, _, apiErr := channel.GetNextEnabledKey()
-	if apiErr != nil {
+	ids, err := fetchChannelUpstreamModelIDs(channel)
+	if err != nil {
 		c.JSON(http.StatusOK, gin.H{
 			"success": false,
-			"message": fmt.Sprintf("获取渠道密钥失败: %s", apiErr.Error()),
+			"message": fmt.Sprintf("获取模型列表失败: %s", err.Error()),
 		})
 		return
 	}
-	key = strings.TrimSpace(key)
-
-	headers, err := buildFetchModelsHeaders(channel, key)
-	if err != nil {
-		common.ApiError(c, err)
-		return
-	}
-
-	body, err := GetResponseBody("GET", url, channel, headers)
-	if err != nil {
-		common.ApiError(c, err)
-		return
-	}
-
-	var result OpenAIModelsResponse
-	if err = json.Unmarshal(body, &result); err != nil {
-		c.JSON(http.StatusOK, gin.H{
-			"success": false,
-			"message": fmt.Sprintf("解析响应失败: %s", err.Error()),
-		})
-		return
-	}
-
-	var ids []string
-	for _, model := range result.Data {
-		id := model.ID
-		if channel.Type == constant.ChannelTypeGemini {
-			id = strings.TrimPrefix(id, "models/")
-		}
-		ids = append(ids, id)
-	}
 
 	c.JSON(http.StatusOK, gin.H{
 		"success": true,