feat(ai): 使用第三方OpenAI库支持并更新依赖
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5 changed files with 74 additions and 114 deletions
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# 使用Go语言重新实现 [sihuan/XZZ](https://github.com/sihuan/XZZ) 机器人项目
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本项目是一个使用Go语言重新实现 [sihuan/XZZ](https://github.com/sihuan/XZZ) 机器人项目。原使用go-cqhttp的机器人项目，由于go-cqhttp不再维护，有众多bug，无法使用，所以更换使用 [napcat](https://github.com/NapNeko/NapCatQQ) 实现。
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当前项目的功能都在`workers`目录下。同时所有接收到的消息都保存在一个sqllite数据库中，文件名为`data.db`保存在项目根目录。
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当前项目的功能都在`workers`目录下。同时所有接收到的消息都保存在一个sqlite数据库中，文件名为`data.db`保存在项目根目录。
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## 部署服务：
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1. 先使用docker部署[napcat](https://github.com/NapNeko/NapCatQQ)，然后修改配置文件，将机器人的token替换为napcat的token，然后运行项目即可。
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部署[napcat](https://github.com/NapNeko/NapCatQQ)可参考下面的docker-compose.yml文件：
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1
go.mod
1
go.mod
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@ -45,6 +45,7 @@ require (
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github.com/gin-gonic/gin v1.10.0
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github.com/moul/http2curl v1.0.0 // indirect
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github.com/pkg/errors v0.9.1 // indirect
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github.com/sashabaranov/go-openai v1.29.0
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github.com/sirupsen/logrus v1.9.3
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github.com/smartystreets/goconvey v1.8.1 // indirect
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golang.org/x/net v0.26.0 // indirect
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2
go.sum
2
go.sum
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@ -71,6 +71,8 @@ github.com/pkg/errors v0.9.1/go.mod h1:bwawxfHBFNV+L2hUp1rHADufV3IMtnDRdf1r5NINE
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github.com/pmezard/go-difflib v1.0.0 h1:4DBwDE0NGyQoBHbLQYPwSUPoCMWR5BEzIk/f1lZbAQM=
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github.com/pmezard/go-difflib v1.0.0/go.mod h1:iKH77koFhYxTK1pcRnkKkqfTogsbg7gZNVY4sRDYZ/4=
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github.com/rogpeppe/go-charset v0.0.0-20180617210344-2471d30d28b4/go.mod h1:qgYeAmZ5ZIpBWTGllZSQnw97Dj+woV0toclVaRGI8pc=
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github.com/sashabaranov/go-openai v1.29.0 h1:eBH6LSjtX4md5ImDCX8hNhHQvaRf22zujiERoQpsvLo=
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github.com/sashabaranov/go-openai v1.29.0/go.mod h1:lj5b/K+zjTSFxVLijLSTDZuP7adOgerWeFyZLUhAKRg=
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github.com/sirupsen/logrus v1.9.3 h1:dueUQJ1C2q9oE3F7wvmSGAaVtTmUizReu6fjN8uqzbQ=
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github.com/sirupsen/logrus v1.9.3/go.mod h1:naHLuLoDiP4jHNo9R0sCBMtWGeIprob74mVsIT4qYEQ=
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github.com/smarty/assertions v1.15.0 h1:cR//PqUBUiQRakZWqBiFFQ9wb8emQGDb0HeGdqGByCY=
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1
utils/openai.go
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1
utils/openai.go
Normal file
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@ -0,0 +1 @@
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package utils
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182
workers/ai.go
182
workers/ai.go
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@ -1,20 +1,18 @@
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package workers
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import (
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"context"
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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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openai "github.com/sashabaranov/go-openai"
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)
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func init() {
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@ -43,35 +41,46 @@ func (a *AI) GetMsg() string {
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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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oaiconfig := openai.DefaultConfig(OPENAI_API_KEY)
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oaiconfig.BaseURL = OPENAI_BaseURL
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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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client := openai.NewClientWithConfig(oaiconfig)
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msg := fmt.Sprintf("[CQ:at,qq=%s] ", a.UID)
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if strings.ToLower(a.Parms[1]) != "models" {
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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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// var requestBody map[string]interface{}
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// 如果非回复消息
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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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resp, err := client.CreateChatCompletion(
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context.Background(),
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openai.ChatCompletionRequest{
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Model: MODEL,
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Stream: false,
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Messages: []openai.ChatCompletionMessage{
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{
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Role: "system",
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Content: PROMPT,
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},
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{
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Role: "user",
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Content: a.RawMsg[strings.Index(a.RawMsg, " ")+1:],
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},
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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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if err != nil {
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log.Println("ChatCompletion error: ", err)
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return "请求失败"
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}
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// println(resp.Choices[0].Message.Content)
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return msg + resp.Choices[0].Message.Content
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} else {
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// 匹配回复消息
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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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@ -124,70 +133,55 @@ func (a *AI) GetMsg() string {
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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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// 调用图片分析
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resp, err := client.CreateChatCompletion(
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context.Background(),
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openai.ChatCompletionRequest{
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Model: MODEL,
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Messages: []openai.ChatCompletionMessage{
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{
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Role: "user",
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MultiContent: []openai.ChatMessagePart{
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{
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Type: openai.ChatMessagePartTypeText,
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Text: a.RawMsg[firstSpaceIndex+1 : lastSpaceIndex],
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}, {
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Type: openai.ChatMessagePartTypeImageURL,
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ImageURL: &openai.ChatMessageImageURL{
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URL: base64Img,
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Detail: openai.ImageURLDetailAuto,
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},
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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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)
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if err != nil {
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log.Println("ChatCompletion error: ", err)
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return "请求失败"
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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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msg += resp.Choices[0].Message.Content
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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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return msg
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}
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models, err := client.ListModels(context.Background())
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if err != nil {
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log.Println("ListModels error: ", err)
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return "查询支持模型失败！"
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}
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var modelList string
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for _, model := range models.Models {
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if MODEL == model.ID {
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model.ID = model.ID + "(当前使用)"
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}
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modelList += model.ID + "\n"
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}
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return modelList
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// return handleModelRequest(OPENAI_API_KEY, OPENAI_BaseURL)
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}
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func getConfig() (string, string, string) {
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@ -216,44 +210,6 @@ func getConfig() (string, string, string) {
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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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