go-bot/workers/ai.go

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package workers
import (
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"encoding/base64"
"fmt"
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"io"
"os"
"log"
"net/http"
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"regexp"
"strconv"
"strings"
"time"
"github.com/goccy/go-json"
"github.com/parnurzeal/gorequest"
)
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]
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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"
}
if strings.ToLower(a.Parms[1]) == "models" {
return handleModelRequest(OPENAI_API_KEY, OPENAI_BaseURL)
} else {
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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{}
if !strings.HasPrefix(a.Parms[len(a.Parms)-1], "[CQ:reply,id=") {
requestBody = map[string]interface{}{
"model": MODEL,
"stream": false,
"messages": []map[string]string{
{
"role": "system",
"content": PROMPT,
},
{"role": "user", "content": a.RawMsg[strings.Index(a.RawMsg, " ")+1:]},
},
"temperature": 0.7,
"presence_penalty": 0,
"frequency_penalty": 0,
"top_p": 1,
}
} else {
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 > 1.0 {
log.Println("文件大小超过1M")
return "文件大小超过1M"
}
filePath := a.GetImage(file)
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, " ")
requestBody = map[string]interface{}{
"model": MODEL,
"stream": false,
"messages": []interface{}{
map[string]interface{}{
"role": "system",
"content": "#角色你是一名AI视觉助手任务是分析单个图像。",
},
map[string]interface{}{
"role": "user",
"content": []interface{}{
map[string]interface{}{
"type": "text",
"text": a.RawMsg[firstSpaceIndex+1 : lastSpaceIndex],
},
map[string]interface{}{
"type": "image_url",
"image_url": map[string]string{
"url": base64Img,
},
},
},
},
},
"temperature": 0.7,
"presence_penalty": 0,
"frequency_penalty": 0,
"top_p": 1,
}
}
request := gorequest.New()
resp, body, errs := request.Post(OPENAI_BaseURL).
Retry(3, 5*time.Second, http.StatusServiceUnavailable, http.StatusBadGateway).
Set("Content-Type", "application/json").
Set("Authorization", "Bearer "+OPENAI_API_KEY).
Send(requestBody).
End()
if errs != nil {
log.Println(errs)
return "请求失败"
}
println(resp.StatusCode)
if resp.StatusCode == 200 {
var responseBody map[string]interface{}
if err := json.Unmarshal([]byte(body), &responseBody); err != nil {
log.Println(err)
return "解析失败"
}
choices := responseBody["choices"].([]interface{})
if len(choices) > 0 {
choice := choices[0].(map[string]interface{})
msg := choice["message"].(map[string]interface{})["content"].(string)
return fmt.Sprintf("[CQ:at,qq=%s] %s", a.UID, msg)
} else {
log.Println("choices为空")
return "api解析失败"
}
}
return "请求失败!"
// return handleChatRequest(OPENAI_API_KEY, OPENAI_BaseURL, MODEL, a.RawMsg, a.UID, a.Parms)
}
}
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 handleModelRequest(OPENAI_API_KEY, OPENAI_BaseURL string) string {
OPENAI_BaseURL = OPENAI_BaseURL + "/models"
request := gorequest.New()
resp, body, errs := request.Get(OPENAI_BaseURL).
Set("Content-Type", "application/json").
Set("Authorization", "Bearer "+OPENAI_API_KEY).
End()
if errs != nil {
log.Println(errs)
return "请求失败"
}
if resp.StatusCode == 200 {
var responseBody map[string]interface{}
if err := json.Unmarshal([]byte(body), &responseBody); err != nil {
log.Println(err)
return "解析模型列表失败"
}
choices := responseBody["data"].([]interface{})
// var models []interface{}
if len(choices) > 0 {
msg := "支持的模型列表:\n"
for _, choice := range choices {
model := choice.(map[string]interface{})["id"]
msg += fmt.Sprintf("%s\n", model)
}
return msg
} else {
return "模型列表为空"
}
} else {
log.Println("请求失败")
return "请求模型列表失败"
}
}
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func Image2Base64(path string) string {
file, err := os.Open(path)
if err != nil {
return ""
}
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defer file.Close()
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if data, err := io.ReadAll(file); err == nil {
return "data:image/jpeg;base64," + base64.StdEncoding.EncodeToString(data)
}
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return ""
}