using AntDesign;
using System.ComponentModel.DataAnnotations;
using VideoAnalysisCore.AICore.ChatGPT.Dto;
using VideoAnalysisCore.Enum;
namespace Learn.VideoAnalysis.Controllers.Dto
{
///
/// 视频处理 请求
///
public class VideoAnalysisReq
{
///
/// 媒体路径
///
[Required(ErrorMessage = "资源URL是必填项")]
[Url(ErrorMessage = "请输入有效的 URL")]
public string MediaUrl { get; set; } = string.Empty;
///
/// ApiKey
///
[Required(ErrorMessage = "接口Token是必填项")]
public string ApiToken { get; set; } = string.Empty;
///
/// 自定义值 任务完成后附带通知
///
public string Tag { get; set; } = string.Empty;
///
/// 自定义Id可用于任务完成之后的查询
///
public string? TagId { get; set; }
///
///回调Api地址
///
//[Required(ErrorMessage = "回调Api地址是必填项")]
//[Url(ErrorMessage = "请输入有效的 URL")]
//public string CallBackUrl { get; set; } = string.Empty;
}
public class TextValue
{
public TextValue(float v)
{
var s = TimeSpan.FromSeconds((double)v);
var td = new[] { s.Hours, s.Minutes, s.Seconds };
Text = string.Join(':', td.Where(s => s > 0));
Value = v;
}
public TextValue(string t,object v)
{
Text = t;
Value = v;
}
public TextValue()
{
}
public string Text { get; set; }
public object Value { get; set; }
}
public class TaskInfoRes: TaskRes
{
public TaskInfoRes()
{
}
///
/// 任务当前执行状态
///
public RedisChannelEnum Status { get; set; }
///
/// 时间轴状态枚举
///
public Dictionary TimeTypeEnum =>
Enum.GetValues(typeof(TimeBaseTypeEnum))
.Cast()
.ToDictionary(x => (int)x, x => x.ToString());
///
/// 时间轴合计
///
public Dictionary? TimeBaseTotal =>
TimeBase?.GroupBy(s => s.TimeBaseType??TimeBaseTypeEnum.教师讲授)?
.ToDictionary(s => s.Key, s => new TextValue(s.Sum(x => x.End - x.Start)));
}
}