package workers

import (
	"context"
	"encoding/base64"
	"fmt"
	"io"
	"os"

	"log"
	"regexp"
	"strconv"
	"strings"

	openai "github.com/sashabaranov/go-openai"
)

func init() {
	RegisterWorkerFactory("ai", func(parms []string, uid, gid, role, mid, rawMsg string) Worker {
		return &AI{
			StdAns: NewStdAns(parms, uid, gid, role, mid, rawMsg),
		}
	})
}

type AI struct {
	*StdAns
}

func (a *AI) GetMsg() string {
	if len(a.Parms) < 2 {
		return "使用!ai xxx 向我提问吧"
	}

	ask := a.Parms[1]
	if ask == "" || strings.HasPrefix(ask, "[CQ:reply,id=") {
		return "不问问题你说个屁！"
	}

	OPENAI_API_KEY, OPENAI_BaseURL, MODEL := getConfig()
	if OPENAI_API_KEY == "" {
		return "OPENAI_API_KEY 未配置"
	}
	oaiconfig := openai.DefaultConfig(OPENAI_API_KEY)
	oaiconfig.BaseURL = OPENAI_BaseURL

	client := openai.NewClientWithConfig(oaiconfig)
	msg := fmt.Sprintf("[CQ:at,qq=%s] ", a.UID)
	if strings.ToLower(a.Parms[1]) != "models" {
		// OPENAI_BaseURL = OPENAI_BaseURL + "/chat/completions"
		PROMPT, ok := cfg["PROMPT"].(string)
		if !ok {
			log.Println("PROMPT 未配置")
			PROMPT = ""
		}
		// var requestBody map[string]interface{}
		// 如果非回复消息
		if !strings.HasPrefix(a.Parms[len(a.Parms)-1], "[CQ:reply,id=") {
			resp, err := client.CreateChatCompletion(
				context.Background(),
				openai.ChatCompletionRequest{
					Model:  MODEL,
					Stream: false,
					Messages: []openai.ChatCompletionMessage{
						{
							Role:    "system",
							Content: PROMPT,
						},
						{
							Role:    "user",
							Content: a.RawMsg[strings.Index(a.RawMsg, " ")+1:],
						},
					},
				},
			)
			if err != nil {
				log.Println("ChatCompletion error: ", err)
				return "请求失败"
			}
			// println(resp.Choices[0].Message.Content)
			return msg + resp.Choices[0].Message.Content
		} else {
			// 匹配回复消息
			pattern := `^\[CQ:reply,id=(-?\d+)\]`
			re := regexp.MustCompile(pattern)
			matches := re.FindStringSubmatch(a.Parms[len(a.Parms)-1])
			var msgId string
			if len(matches) > 0 {

				msgId = matches[1]
			} else {
				msgId = ""
				log.Println("未找到回复消息")
				return "未找到回复消息"
			}
			message := a.GetHisMsg(msgId)

			// 正则表达式匹配 file 和 file_size 的值
			re = regexp.MustCompile(`file=([^,]+),.*file_size=(\d+)`)
			matches = re.FindStringSubmatch(message)
			var file string
			var fileSizeStr string
			if len(matches) > 2 {
				file = matches[1]
				fileSizeStr = matches[2]
			} else {
				log.Println("未找到文件信息")
				return "未找到文件信息"
			}
			// 将 fileSizeStr 转换为整数
			fileSize, err := strconv.ParseFloat(fileSizeStr, 64)
			if err != nil {
				fmt.Println("获取图片大小失败:", err)
				return "获取图片大小失败"
			}
			if fileSize/1024/1024 > 2.0 {
				log.Println("文件大小超过2M")
				return "文件大小超过2M"
			}
			filePath := a.GetImage(file)
			// println("filePath:", filePath)
			if filePath == "" {
				log.Println("获取图片失败")
				return "获取图片失败"
			}
			base64Img := Image2Base64(filePath)
			if base64Img == "" {
				log.Println("图片转换base64失败")
				return "图片转换base64失败"
			}
			// 找到第一个空格的位置
			firstSpaceIndex := strings.Index(a.RawMsg, " ")

			// 找到最后一个空格的位置
			lastSpaceIndex := strings.LastIndex(a.RawMsg, " ")
			// 调用图片分析
			resp, err := client.CreateChatCompletion(
				context.Background(),
				openai.ChatCompletionRequest{
					Model: MODEL,
					Messages: []openai.ChatCompletionMessage{
						{
							Role: "user",
							MultiContent: []openai.ChatMessagePart{
								{
									Type: openai.ChatMessagePartTypeText,
									Text: a.RawMsg[firstSpaceIndex+1 : lastSpaceIndex],
								}, {
									Type: openai.ChatMessagePartTypeImageURL,
									ImageURL: &openai.ChatMessageImageURL{
										URL:    base64Img,
										Detail: openai.ImageURLDetailAuto,
									},
								},
							},
						},
					},
				},
			)
			if err != nil {
				log.Println("ChatCompletion error: ", err)
				return "请求失败"

			}
			msg += resp.Choices[0].Message.Content

		}
		return msg
	}
	models, err := client.ListModels(context.Background())
	if err != nil {
		log.Println("ListModels error: ", err)
		return "查询支持模型失败！"

	}
	var modelList string
	for _, model := range models.Models {
		if MODEL == model.ID {
			model.ID = model.ID + "(当前使用)"
		}
		modelList += model.ID + "\n"
	}
	return modelList
	// return handleModelRequest(OPENAI_API_KEY, OPENAI_BaseURL)
}

func getConfig() (string, string, string) {
	var OPENAI_API_KEY, OPENAI_BaseURL, MODEL string

	if cfg["OPENAI_API_KEY"] != nil {
		OPENAI_API_KEY = cfg["OPENAI_API_KEY"].(string)
	} else {
		log.Println("OPENAI_API_KEY 未配置")
	}

	if cfg["OPENAI_BaseURL"] != nil {
		OPENAI_BaseURL = cfg["OPENAI_BaseURL"].(string)
	} else {
		log.Println("OPENAI_BaseURL 未配置,使用openai默认配置")
		OPENAI_BaseURL = "https://api.openai.com/v1"
	}

	if cfg["MODEL"] != nil {
		MODEL = cfg["MODEL"].(string)
	} else {
		log.Println("模型 未配置,使用默认 gpt-4o 模型")
		MODEL = "gpt-4o"
	}

	return OPENAI_API_KEY, OPENAI_BaseURL, MODEL
}

func Image2Base64(path string) string {
	file, err := os.Open(path)
	if err != nil {
		return ""
	}
	defer file.Close()

	if data, err := io.ReadAll(file); err == nil {
		return "data:image/jpeg;base64," + base64.StdEncoding.EncodeToString(data)
	}
	return ""

}