root
44406b72db
Moteva-style AI design workbench replica. Home prompt creates a project; the project page provides an infinite canvas with node drag, zoom/pan, a design chat panel, history replay, image asset upload, and project save/regenerate. - Backend: go-zero, DDD layering, sqlc/pgx, optional PostgreSQL; memory or Redis cache; asynq job queue; MinIO/S3/R2/OSS object storage; sky-valley/pi agent runtime adapter. - Frontend: Next.js App Router + Vite artifact build, TypeScript, i18n, shadcn/ui components, auth (OTP/Turnstile/Google/WeChat). - Deploy: Docker Compose and k3s manifests. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
47 lines
1.1 KiB
Go
47 lines
1.1 KiB
Go
// Code scaffolded by goctl. Safe to edit.
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// goctl 1.10.1
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package logic
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import (
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"context"
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"img_infinite_canvas/internal/domain/design"
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"img_infinite_canvas/internal/svc"
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"img_infinite_canvas/internal/types"
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"github.com/zeromicro/go-zero/core/logx"
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)
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type RecognizeObjectLogic struct {
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logx.Logger
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ctx context.Context
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svcCtx *svc.ServiceContext
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}
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func NewRecognizeObjectLogic(ctx context.Context, svcCtx *svc.ServiceContext) *RecognizeObjectLogic {
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return &RecognizeObjectLogic{
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Logger: logx.WithContext(ctx),
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ctx: ctx,
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svcCtx: svcCtx,
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}
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}
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func (l *RecognizeObjectLogic) RecognizeObject(req *types.RecognizeObjectRequest) (resp *types.RecognizeObjectResponse, err error) {
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box := toDomainNormalizedBox(req.BoundingBox)
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if box.Width <= 0 || box.Height <= 0 {
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box = toDomainNormalizedBox(req.BBox)
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}
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result, err := l.svcCtx.DesignService.RecognizeObject(l.ctx, design.ObjectRecognitionRequest{
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ImageBase64: req.ImageBase64,
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ImageURL: req.ImageUrl,
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BoundingBox: box,
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Lang: req.Lang,
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Prompt: req.Prompt,
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})
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if err != nil {
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return nil, err
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}
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return toRecognizeObjectResponse(result), nil
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}
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