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>
53 lines
1.4 KiB
Go
53 lines
1.4 KiB
Go
package application
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import (
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"context"
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"fmt"
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"img_infinite_canvas/internal/domain/design"
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)
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type DeterministicAgent struct{}
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func NewDeterministicAgent() *DeterministicAgent {
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return &DeterministicAgent{}
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}
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func (a *DeterministicAgent) Plan(ctx context.Context, req design.AgentRequest) (design.AgentPlan, error) {
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if err := ctx.Err(); err != nil {
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return design.AgentPlan{}, err
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}
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offset := len(req.Project.Nodes)
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nodes := composeBoard(req.Prompt, offset)
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return design.AgentPlan{
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Message: design.Message{
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ID: newID(),
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Role: "assistant",
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Type: "assistant",
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Title: "设计任务完成",
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Content: synthesizeResponse(req.Prompt, req.Mode),
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},
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GeneratedNodes: nodes,
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Connections: nil,
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}, nil
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}
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func (a *DeterministicAgent) Replay(ctx context.Context, project design.Project) (design.AgentReplay, error) {
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if err := ctx.Err(); err != nil {
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return design.AgentReplay{}, err
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}
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return design.AgentReplay{
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ProjectID: project.ID,
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Messages: append([]design.Message(nil), project.Messages...),
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}, nil
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}
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func synthesizeResponse(prompt string, mode string) string {
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if mode == "" {
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mode = "design"
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}
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return fmt.Sprintf("已按「%s」生成一组 %s 画布：官网首页、色彩卡片、移动端页面和详情页已放到无限画布中，可继续微调、扩展或上传参考图。视频生成暂未接入，当前聚焦图片、页面与品牌视觉。", prompt, mode)
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}
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