feat: 饮食记录逻辑重构 + 通知管理分隔线修复 + 多页面 UI 调整

- 饮食: 新增 DietCommentaryPolicy + diet_record_logic, 饮食记录逻辑抽取复用
- 通知管理: 分隔线改为仿通知中心样式, 跳过图标区域只留文字下方
- 侧边栏: 对话记录操作栏浮层修复 + 常用功能间距收紧
- 智能体: 欢迎卡片去 400ms 延迟 + 胶囊去阴影
- 后端: AI 会话仓库新增方法 + 饮食评论策略 + 健康记录规则调整
- 其他: api_client IP 适配 + 多页面 UI 微调 + 新增测试

backend/src/Health.WebApi/Endpoints/ai_chat_endpoints.cs

@@ -335,6 +335,49 @@ public static class AiChatEndpoints
             return Results.Ok(new { code = 0, data = new { deleted = count }, message = (string?)null });
         });
 
+        // 饮食分析页专用建议：不创建会话，不保存提示词或回复到历史记录。
+        app.MapPost("/api/ai/diet-commentary", async (
+            DietCommentaryRequest request,
+            HttpContext http,
+            DeepSeekClient llmClient,
+            IPatientContextService patientContexts,
+            CancellationToken ct) =>
+        {
+            var userId = GetUserId(http);
+            if (userId == null)
+                return Results.Json(new { code = 40002, data = (object?)null, message = "未登录" }, statusCode: 401);
+
+            var foods = request.Foods?
+                .Where(food => !string.IsNullOrWhiteSpace(food.Name) &&
+                               !string.IsNullOrWhiteSpace(food.Portion) &&
+                               food.Calories > 0)
+                .Take(20)
+                .Select(food => new DietCommentaryFood(food.Name, food.Portion, food.Calories))
+                .ToList() ?? [];
+            if (foods.Count == 0)
+                return Results.Ok(new { code = 40001, data = (object?)null, message = "请先完善食物信息" });
+
+            var patientContext = await patientContexts.BuildAsync(userId.Value, ct);
+            var foodDescription = DietCommentaryPolicy.BuildFoodDescription(foods);
+            var response = await llmClient.ChatAsync(
+                [
+                    new ChatMessage
+                    {
+                        Role = "system",
+                        Content = DietCommentaryPolicy.SystemPrompt + "\n\n当前用户健康档案：\n" + patientContext,
+                    },
+                    new ChatMessage { Role = "user", Content = "本餐食物：" + foodDescription },
+                ],
+                maxTokens: 300,
+                temperature: 0.3f,
+                ct: ct);
+            var commentary = response.Choices?.FirstOrDefault()?.Message?.Content?.Trim();
+            if (string.IsNullOrWhiteSpace(commentary))
+                return Results.Ok(new { code = 50001, data = (object?)null, message = "饮食建议生成失败" });
+
+            return Results.Ok(new { code = 0, data = new { commentary }, message = (string?)null });
+        }).RequireAuthorization();
+
         app.MapPost("/api/ai/analyze-food-image", async (
             HttpRequest httpRequest,
             HttpContext http,
@@ -623,7 +666,7 @@ public static class AiChatEndpoints
                 AddMetricPreview(preview, HealthMetricType.HeartRate, GetDecimal(args, "heart_rate"), "次/分", v => v > 100 || v < 60);
                 break;
             case "glucose":
-                AddMetricPreview(preview, HealthMetricType.Glucose, GetDecimal(args, "glucose"), "mmol/L", v => v >= 7.0m || v <= 3.8m);
+                AddMetricPreview(preview, HealthMetricType.Glucose, GetDecimal(args, "glucose"), "mmol/L", v => v > 6.1m || v < 3.9m);
                 break;
             case "spo2":
                 AddMetricPreview(preview, HealthMetricType.SpO2, GetDecimal(args, "spo2"), "%", v => v <= 94);
@@ -818,3 +861,6 @@ public static class AiChatEndpoints
     }
 
 }
+
+public sealed record DietCommentaryFoodRequest(string Name, string Portion, int Calories);
+public sealed record DietCommentaryRequest(IReadOnlyList<DietCommentaryFoodRequest>? Foods);