Learn.VideoAnalysis/VideoAnalysisCore/AICore/GPT/BaseGPT.cs

using Microsoft.Extensions.Hosting;
using System.Net.Http.Headers;
using System.Net.Http;
using System.Net;
using System.Text;
using VideoAnalysisCore.AICore.GPT.Dto;
using VideoAnalysisCore.AICore.SherpaOnnx;
using VideoAnalysisCore.Common;
using Whisper.net;
using Microsoft.Extensions.DependencyInjection;
using VideoAnalysisCore.AICore.GPT.ChatGPT;
using VideoAnalysisCore.AICore.GPT.DeepSeek;
using System.Text.Json.Serialization;
using VideoAnalysisCore.AICore.GPT.Gemini;

namespace VideoAnalysisCore.AICore.GPT
{

    public interface IBaseGPTWorkflow
    {
        /// <summary>
        /// 访问GPT
        /// </summary>
        /// <param name="task">任务id</param>
        /// <returns></returns>
        public Task<TaskRes> GetKnow(string task);
        /// <summary>
        /// 获取 视频分段内的 试题
        /// </summary>
        /// <param name="task">任务id</param>
        /// <returns></returns>
        public Task GetVideoQuestion(string task);
        /// <summary>
        /// 获取视频类型
        /// </summary>
        /// <param name="task"></param>
        /// <returns></returns>
        public Task GetVideoType(string task);
    }

    /// <summary>
    /// 请求数据
    /// </summary>
    public class ChatRequest
    {
        /// <summary>
        /// 对话
        /// </summary>
        public Message[] messages { get; set; }
        /// <summary>
        /// 提问种子值[用来确保 相同参数请求尽可能返回相同参数]
        /// <para>默认:null</para>
        /// <para>此功能处于 Beta 阶段。 如果指定，我们的系统将尽最大努力确定性地采样，这样具有相同 and 参数的重复请求应该返回相同的结果。 无法保证确定性，您应该参考 response 参数来监控后端的变化</para>
        /// </summary>
        public int? seed { get; set; } = null;
        [JsonIgnore]
        public string? title { get; set; } = null;
        /// <summary>
        /// 推理模型 (deepseek-reasoner)
        /// </summary>
        public string model { get; set; } = "deepseek-reasoner";

        public float? max_tokens { get; set; } = 8000;
        public float? max_completion_tokens { get; set; } = 8000;
        /// <summary>
        /// 一种替代温度采样的方法，称为原子核采样， 其中，模型考虑具有top_p概率的标记的结果 质量。所以 0.1 表示仅包含前 10% 概率质量的代币 被考
        /// <para>建议与<see cref="ChatRequest.temperature"/>联动</para>
        /// </summary>
        public float? top_p { get; set; } = 0.1f;
        /// <summary>
        ///  一个对象，用于指定模型必须输出的格式。设置为 enable 结构化输出，确保模型与您提供的 JSON 匹配 图式。
        /// </summary>
        //public object response_format { get; set; } = new { type = "json_object" };
        /// <summary>
        /// 流式返回
        /// </summary>
        public bool stream { get; set; } = true;
        /// <summary>
        /// 您希望模型为此请求生成的 Output types。 大多数模型都能够生成文本，这是
        /// <para>默认设置： ["text"]</para>
        /// <para>该模型还可用于生成音频。自 请求此模型同时生成文本和音频响应，您可以 用：gpt-4o-audio-preview["text", "audio"]</para>
        /// </summary>
        public string modalities { get; set; } = "[\"json\"]";
        /// <summary>
        /// 任务id
        /// </summary>
        public string taskId { get; set; }
        public object stream_options { get; set; } = new { include_usage = true };

    }
    /// <summary>
    /// GPT 接口
    /// </summary>


    /// <summary>
    /// gpt返回值
    /// </summary>
    public class ChatRes
    {
        public string id { get; set; }
        public string _object { get; set; }
        public int created { get; set; }
        public string model { get; set; }
        public ChatResError error { get; set; }
        public Choice[] choices { get; set; }
        public Usage usage { get; set; }
        /// <summary>
        /// 系统指纹
        /// </summary>
        public string system_fingerprint { get; set; }
    }
    public class Usage
    {
        public int prompt_tokens { get; set; }
        public int completion_tokens { get; set; }
        public int total_tokens { get; set; }
    }


    public class Choice
    {
        public int index { get; set; }
        public Message message { get; set; }
        public object logprobs { get; set; }
        public string finish_reason { get; set; }
    }
    public class ChatResError
    {
        public string message { get; set; }
        public string type { get; set; }
    }

    public class ChatResSSE
    {
        public string id { get; set; }
        public int created { get; set; }
        /// <summary>
        /// 模型id
        /// </summary>
        public string model { get; set; }
        /// <summary>
        /// 对话
        /// </summary>
        public ChoiceSSE[] choices { get; set; }
        /// <summary>
        /// token使用情况
        /// </summary>
        public Usage usage { get; set; }
    }
    public class ChoiceSSE
    {
        public int index { get; set; }
        public Message delta { get; set; }
        public string finish_reason { get; set; }
    }

    public class Message
    {
        public Message()
        {

        }
        public Message(string content, string role)
        {
            this.role = role;
            this.content = content;
        }
        public string role { get; set; }
        public string content { get; set; }
        /// <summary>
        /// 推理内容
        /// </summary>
        public string reasoning_content { get; set; }
        public string refusal { get; set; }
    }


    public static class GPTExpand
    {
        /// <summary>
        /// 注册GPT服务
        /// </summary>
        /// <param name="services"></param>
        public static void AddGPTService(this IServiceCollection services)
        {
            services.AddSingleton<DeepSeekGPTClient>();
            services.AddSingleton<BSET_DeepSeekGPTClient
                
                
                >();
            services.AddSingleton<BestAIClient>();
            services.AddSingleton<GeminiGPTClient>();
            services.AddSingleton<IBaseGPTWorkflow, GTP_Analysis_1>();


        }
    }
}