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>
44 lines
905 B
Go
44 lines
905 B
Go
package application
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import (
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"bytes"
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"image"
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"strings"
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webp "github.com/deepteams/webp"
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)
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const generatedWebPQuality float32 = 90
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func encodeRasterAssetAsWebP(data []byte, contentType string) ([]byte, string, error) {
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if !shouldEncodeAssetAsWebP(contentType) {
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return data, contentType, nil
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}
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source, _, err := image.Decode(bytes.NewReader(data))
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if err != nil {
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return nil, "", err
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}
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var output bytes.Buffer
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if err := webp.Encode(&output, source, &webp.EncoderOptions{
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Quality: generatedWebPQuality,
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Method: 4,
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AlphaQuality: 100,
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UseSharpYUV: true,
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Exact: true,
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}); err != nil {
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return nil, "", err
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}
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return output.Bytes(), "image/webp", nil
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}
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func shouldEncodeAssetAsWebP(contentType string) bool {
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switch strings.ToLower(strings.TrimSpace(contentType)) {
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case "image/png", "image/jpeg", "image/jpg":
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return true
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default:
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return false
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}
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}
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