269 lines
6.6 KiB
Go
269 lines
6.6 KiB
Go
package workers
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import (
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"encoding/base64"
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"fmt"
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"io"
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"os"
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"log"
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"net/http"
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"regexp"
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"strconv"
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"strings"
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"time"
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"github.com/goccy/go-json"
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"github.com/parnurzeal/gorequest"
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)
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func init() {
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RegisterWorkerFactory("ai", func(parms []string, uid, gid, role, mid, rawMsg string) Worker {
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return &AI{
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StdAns: NewStdAns(parms, uid, gid, role, mid, rawMsg),
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}
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})
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}
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type AI struct {
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*StdAns
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}
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func (a *AI) GetMsg() string {
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if len(a.Parms) < 2 {
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return "使用!ai xxx 向我提问吧"
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}
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ask := a.Parms[1]
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if ask == "" || strings.HasPrefix(ask, "[CQ:reply,id=") {
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return "不问问题你说个屁！"
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}
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OPENAI_API_KEY, OPENAI_BaseURL, MODEL := getConfig()
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if OPENAI_API_KEY == "" {
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return "OPENAI_API_KEY 未配置"
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}
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if strings.ToLower(a.Parms[1]) == "models" {
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return handleModelRequest(OPENAI_API_KEY, OPENAI_BaseURL)
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} else {
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OPENAI_BaseURL = OPENAI_BaseURL + "/chat/completions"
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PROMPT, ok := cfg["PROMPT"].(string)
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if !ok {
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log.Println("PROMPT 未配置")
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PROMPT = ""
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}
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var requestBody map[string]interface{}
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if !strings.HasPrefix(a.Parms[len(a.Parms)-1], "[CQ:reply,id=") {
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requestBody = map[string]interface{}{
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"model": MODEL,
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"stream": false,
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"messages": []map[string]string{
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{
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"role": "system",
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"content": PROMPT,
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},
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{"role": "user", "content": a.RawMsg[strings.Index(a.RawMsg, " ")+1:]},
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},
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"temperature": 0.7,
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"presence_penalty": 0,
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"frequency_penalty": 0,
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"top_p": 1,
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}
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} else {
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pattern := `^\[CQ:reply,id=(-?\d+)\]`
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re := regexp.MustCompile(pattern)
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matches := re.FindStringSubmatch(a.Parms[len(a.Parms)-1])
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var msgId string
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if len(matches) > 0 {
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msgId = matches[1]
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} else {
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msgId = ""
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log.Println("未找到回复消息")
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return "未找到回复消息"
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}
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message := a.GetHisMsg(msgId)
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// 正则表达式匹配 file 和 file_size 的值
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re = regexp.MustCompile(`file=([^,]+),.*file_size=(\d+)`)
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matches = re.FindStringSubmatch(message)
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var file string
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var fileSizeStr string
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if len(matches) > 2 {
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file = matches[1]
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fileSizeStr = matches[2]
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} else {
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log.Println("未找到文件信息")
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return "未找到文件信息"
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}
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// 将 fileSizeStr 转换为整数
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fileSize, err := strconv.ParseFloat(fileSizeStr, 64)
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if err != nil {
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fmt.Println("获取图片大小失败:", err)
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return "获取图片大小失败"
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}
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if fileSize/1024/1024 > 1.0 {
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log.Println("文件大小超过1M")
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return "文件大小超过1M"
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}
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filePath := a.GetImage(file)
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// println("filePath:", filePath)
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if filePath == "" {
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log.Println("获取图片失败")
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return "获取图片失败"
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}
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base64Img := Image2Base64(filePath)
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if base64Img == "" {
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log.Println("图片转换base64失败")
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return "图片转换base64失败"
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}
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// 找到第一个空格的位置
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firstSpaceIndex := strings.Index(a.RawMsg, " ")
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// 找到最后一个空格的位置
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lastSpaceIndex := strings.LastIndex(a.RawMsg, " ")
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requestBody = map[string]interface{}{
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"model": MODEL,
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"stream": false,
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"messages": []interface{}{
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map[string]interface{}{
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"role": "system",
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"content": "#角色你是一名AI视觉助手，任务是分析单个图像。",
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},
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map[string]interface{}{
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"role": "user",
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"content": []interface{}{
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map[string]interface{}{
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"type": "text",
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"text": a.RawMsg[firstSpaceIndex+1 : lastSpaceIndex],
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},
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map[string]interface{}{
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"type": "image_url",
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"image_url": map[string]string{
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"url": base64Img,
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},
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},
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},
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},
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},
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"temperature": 0.7,
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"presence_penalty": 0,
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"frequency_penalty": 0,
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"top_p": 1,
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}
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}
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request := gorequest.New()
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resp, body, errs := request.Post(OPENAI_BaseURL).
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Retry(3, 5*time.Second, http.StatusServiceUnavailable, http.StatusBadGateway).
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Set("Content-Type", "application/json").
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Set("Authorization", "Bearer "+OPENAI_API_KEY).
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Send(requestBody).
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End()
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if errs != nil {
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log.Println(errs)
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return "请求失败"
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}
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println(resp.StatusCode)
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if resp.StatusCode == 200 {
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var responseBody map[string]interface{}
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if err := json.Unmarshal([]byte(body), &responseBody); err != nil {
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log.Println(err)
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return "解析失败"
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}
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choices := responseBody["choices"].([]interface{})
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if len(choices) > 0 {
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choice := choices[0].(map[string]interface{})
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msg := choice["message"].(map[string]interface{})["content"].(string)
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return fmt.Sprintf("[CQ:at,qq=%s] %s", a.UID, msg)
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} else {
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log.Println("choices为空")
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return "api解析失败"
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}
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}
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return "请求失败!"
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// return handleChatRequest(OPENAI_API_KEY, OPENAI_BaseURL, MODEL, a.RawMsg, a.UID, a.Parms)
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}
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}
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func getConfig() (string, string, string) {
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var OPENAI_API_KEY, OPENAI_BaseURL, MODEL string
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if cfg["OPENAI_API_KEY"] != nil {
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OPENAI_API_KEY = cfg["OPENAI_API_KEY"].(string)
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} else {
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log.Println("OPENAI_API_KEY 未配置")
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}
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if cfg["OPENAI_BaseURL"] != nil {
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OPENAI_BaseURL = cfg["OPENAI_BaseURL"].(string)
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} else {
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log.Println("OPENAI_BaseURL 未配置,使用openai默认配置")
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OPENAI_BaseURL = "https://api.openai.com/v1"
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}
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if cfg["MODEL"] != nil {
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MODEL = cfg["MODEL"].(string)
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} else {
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log.Println("模型 未配置,使用默认 gpt-4o 模型")
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MODEL = "gpt-4o"
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}
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return OPENAI_API_KEY, OPENAI_BaseURL, MODEL
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}
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func handleModelRequest(OPENAI_API_KEY, OPENAI_BaseURL string) string {
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OPENAI_BaseURL = OPENAI_BaseURL + "/models"
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request := gorequest.New()
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resp, body, errs := request.Get(OPENAI_BaseURL).
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Set("Content-Type", "application/json").
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Set("Authorization", "Bearer "+OPENAI_API_KEY).
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End()
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if errs != nil {
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log.Println(errs)
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return "请求失败"
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}
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if resp.StatusCode == 200 {
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var responseBody map[string]interface{}
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if err := json.Unmarshal([]byte(body), &responseBody); err != nil {
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log.Println(err)
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return "解析模型列表失败"
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}
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choices := responseBody["data"].([]interface{})
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// var models []interface{}
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if len(choices) > 0 {
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msg := "支持的模型列表:\n"
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for _, choice := range choices {
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model := choice.(map[string]interface{})["id"]
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msg += fmt.Sprintf("%s\n", model)
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}
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return msg
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} else {
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return "模型列表为空"
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}
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} else {
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log.Println("请求失败")
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return "请求模型列表失败"
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}
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}
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func Image2Base64(path string) string {
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file, err := os.Open(path)
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if err != nil {
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return ""
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}
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defer file.Close()
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if data, err := io.ReadAll(file); err == nil {
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return "data:image/jpeg;base64," + base64.StdEncoding.EncodeToString(data)
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}
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return ""
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}
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