插件：AnimeTrace 动画/Galgame识别

README.md

@@ -400,6 +400,18 @@ print("run[CQ:image,file="+j["img"]+"]")
 
   - [x] 支付宝到账 1
 
+</details>
+<details>
+  <summary>AnimeTrace 动画/Galgame识别</summary>
+
+  `import _ "github.com/FloatTech/ZeroBot-Plugin/plugin/animetrace"`
+
+  基于[AnimeTrace](https://ai.animedb.cn/)API  的识图搜索插件
+
+  - [x] Gal识图 | Gal识图 [模型名]
+
+  - [x] 动漫识图 | 动漫识图 2 | 动漫识图 [模型名]
+
 </details>
 <details>
   <summary>触发者撤回时也自动撤回</summary>

main.go

@@ -67,6 +67,7 @@ import (
 	_ "github.com/FloatTech/ZeroBot-Plugin/plugin/aifalse"           // 服务器监控
 	_ "github.com/FloatTech/ZeroBot-Plugin/plugin/aiwife"            // 随机老婆
 	_ "github.com/FloatTech/ZeroBot-Plugin/plugin/alipayvoice"       // 支付宝到账语音
+	_ "github.com/FloatTech/ZeroBot-Plugin/plugin/animetrace"        // AnimeTrace 动画/Galgame识别
 	_ "github.com/FloatTech/ZeroBot-Plugin/plugin/autowithdraw"      // 触发者撤回时也自动撤回
 	_ "github.com/FloatTech/ZeroBot-Plugin/plugin/baiduaudit"        // 百度内容审核
 	_ "github.com/FloatTech/ZeroBot-Plugin/plugin/base16384"         // base16384加解密

plugin/animetrace/main.go

@@ -0,0 +1,145 @@
+// Package animetrace AnimeTrace 动画/Galgame识别
+package animetrace
+
+import (
+	"bytes"
+	"encoding/base64"
+	"errors"
+	"fmt"
+	"image"
+	"image/jpeg"
+	"mime/multipart"
+	"strings"
+
+	"github.com/FloatTech/floatbox/web"
+	"github.com/FloatTech/imgfactory"
+	ctrl "github.com/FloatTech/zbpctrl"
+	"github.com/FloatTech/zbputils/control"
+	"github.com/FloatTech/zbputils/ctxext"
+	"github.com/disintegration/imaging"
+	"github.com/tidwall/gjson"
+	zero "github.com/wdvxdr1123/ZeroBot"
+	"github.com/wdvxdr1123/ZeroBot/message"
+)
+
+func init() {
+	engine := control.Register("animetrace", &ctrl.Options[*zero.Ctx]{
+		DisableOnDefault: false,
+		Brief:            "AnimeTrace 动画/Galgame识别插件",
+		Help:             "- Gal识图\n- 动漫识图\n- 动漫识图 2\n- 动漫识图 [模型名]\n- Gal识图 [模型名]",
+	})
+
+	engine.OnPrefix("gal识图", zero.OnlyGroup, zero.MustProvidePicture).SetBlock(true).Handle(func(ctx *zero.Ctx) {
+		args := ctx.State["args"].(string)
+		var model string
+		switch strings.TrimSpace(args) {
+		case "":
+			model = "full_game_model_kira" // 默认使用的模型
+		default:
+			model = args // 自定义设置模型
+		}
+		processImageRecognition(ctx, model)
+	})
+
+	engine.OnPrefix("动漫识图", zero.OnlyGroup, zero.MustProvidePicture).SetBlock(true).Handle(func(ctx *zero.Ctx) {
+		args := ctx.State["args"].(string)
+		var model string
+		switch strings.TrimSpace(args) {
+		case "":
+			model = "anime_model_lovelive"
+		case "2":
+			model = "pre_stable"
+		default:
+			model = args
+		}
+		processImageRecognition(ctx, model)
+	})
+}
+
+// 处理图片识别
+func processImageRecognition(ctx *zero.Ctx, model string) {
+	urls := ctx.State["image_url"].([]string)
+	if len(urls) == 0 {
+		return
+	}
+	imageData, err := imgfactory.Load(urls[0])
+	if err != nil {
+		ctx.Send(message.Text("下载图片失败: ", err))
+		return
+	}
+	//ctx.Send(message.Text(model))
+	respBody, err := createAndSendMultipartRequest("https://api.animetrace.com/v1/search", imageData, map[string]string{
+		"is_multi":  "0",
+		"model":     model,
+		"ai_detect": "0",
+	})
+	if err != nil {
+		ctx.Send(message.Text("识别请求失败: ", err))
+		return
+	}
+	code := gjson.Get(string(respBody), "code").Int()
+	if code != 0 {
+		ctx.Send(message.Text("错误: ", gjson.Get(string(respBody), "zh_message").String()))
+		return
+	}
+	dataArray := gjson.Get(string(respBody), "data").Array()
+	if len(dataArray) == 0 {
+		ctx.Send(message.Text("未识别到任何角色"))
+		return
+	}
+	var sk message.Message
+	sk = append(sk, ctxext.FakeSenderForwardNode(ctx, message.Text("共识别到 ", len(dataArray), " 个角色，可能是以下来源")))
+	for _, value := range dataArray {
+		boxArray := value.Get("box").Array()
+		imgWidth, imgHeight := imageData.Bounds().Dx(), imageData.Bounds().Dy() // 你可以从 `imageData.Bounds()` 获取
+		box := []int{
+			int(boxArray[0].Float() * float64(imgWidth)),
+			int(boxArray[1].Float() * float64(imgHeight)),
+			int(boxArray[2].Float() * float64(imgWidth)),
+			int(boxArray[3].Float() * float64(imgHeight)),
+		}
+		croppedImg := imaging.Crop(imageData, image.Rect(box[0], box[1], box[2], box[3]))
+		var buf bytes.Buffer
+		if err := imaging.Encode(&buf, croppedImg, imaging.JPEG, imaging.JPEGQuality(80)); err != nil {
+			ctx.Send(message.Text("图片编码失败: ", err))
+			continue
+		}
+
+		base64Str := base64.StdEncoding.EncodeToString(buf.Bytes())
+		var sb strings.Builder
+		value.Get("character").ForEach(func(_, character gjson.Result) bool {
+			sb.WriteString(fmt.Sprintf("《%s》的角色 %s\n", character.Get("work").String(), character.Get("character").String()))
+			return true
+		})
+		sk = append(sk, ctxext.FakeSenderForwardNode(ctx, message.Image("base64://"+base64Str), message.Text(sb.String())))
+	}
+	ctx.SendGroupForwardMessage(ctx.Event.GroupID, sk)
+}
+
+// 发送图片识别请求
+func createAndSendMultipartRequest(url string, img image.Image, formFields map[string]string) ([]byte, error) {
+	body := &bytes.Buffer{}
+	writer := multipart.NewWriter(body)
+
+	// 直接编码图片
+	part, err := writer.CreateFormFile("file", "image.jpg")
+	if err != nil {
+		return nil, errors.New("创建文件字段失败: " + err.Error())
+	}
+	if err := jpeg.Encode(part, img, &jpeg.Options{Quality: 80}); err != nil {
+		return nil, errors.New("图片编码失败: " + err.Error())
+	}
+
+	// 写入其他字段
+	for key, value := range formFields {
+		if err := writer.WriteField(key, value); err != nil {
+			return nil, errors.New("写入表单字段失败 (" + key + "): " + err.Error())
+		}
+	}
+
+	if err := writer.Close(); err != nil {
+		return nil, errors.New("关闭 multipart writer 失败: " + err.Error())
+	}
+
+	return web.PostData(url, writer.FormDataContentType(), body)
+}