moteva

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Author	SHA1	Message	Date
root	078b0bee32	feat(canvas): import DWG/DXF CAD drawings as canvas assets Accept DWG and DXF files (up to 24 MB) through the canvas asset picker and drag-and-drop. Conversion runs locally in a browser worker via acad-ts, uploads a sanitized derived SVG, and leaves the source file untouched. DXF covers ASCII and binary drawings; DWG covers AutoCAD R14 through 2018. Rename the image-only upload input/handler to a generic canvas asset flow, add vector-image node detection, tag imported SVGs as vector-image nodes, localize CAD import status/error messages, and switch the Next build to the webpack compiler so the worker bundles correctly. Add a node --test suite covering CAD conversion and vector image helpers. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>	2026-07-15 12:09:05 +08:00
root	60130b3d9b	feat(canvas): build PSD export in the browser from canvas layers Move PSD generation off the server. The image-generation API only produces raster formats, so drop the PSD request path, the oov/psd decoder, and the LayeredDocumentGenerator wiring. Layer separation now returns clean background, foreground, and text_render_data artifacts into a transparent frame. Export that frame (or any image node) as PSD from the canvas context menu: ag-psd assembles layers, rotation/flip, opacity, editable text, and stroke effects from the current canvas state at download time. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>	2026-07-10 11:01:46 +08:00
root	44406b72db	Initial commit: img-infinite-canvas AI design workbench MVP 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>	2026-07-07 23:15:37 +08:00

Author

SHA1

Message

Date

root

078b0bee32

feat(canvas): import DWG/DXF CAD drawings as canvas assets

Accept DWG and DXF files (up to 24 MB) through the canvas asset picker and
drag-and-drop. Conversion runs locally in a browser worker via acad-ts,
uploads a sanitized derived SVG, and leaves the source file untouched. DXF
covers ASCII and binary drawings; DWG covers AutoCAD R14 through 2018.

Rename the image-only upload input/handler to a generic canvas asset flow,
add vector-image node detection, tag imported SVGs as vector-image nodes,
localize CAD import status/error messages, and switch the Next build to the
webpack compiler so the worker bundles correctly. Add a node --test suite
covering CAD conversion and vector image helpers.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

2026-07-15 12:09:05 +08:00

root

60130b3d9b

feat(canvas): build PSD export in the browser from canvas layers

Move PSD generation off the server. The image-generation API only
produces raster formats, so drop the PSD request path, the oov/psd
decoder, and the LayeredDocumentGenerator wiring. Layer separation now
returns clean background, foreground, and text_render_data artifacts
into a transparent frame.

Export that frame (or any image node) as PSD from the canvas context
menu: ag-psd assembles layers, rotation/flip, opacity, editable text,
and stroke effects from the current canvas state at download time.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

2026-07-10 11:01:46 +08:00

root

44406b72db

Initial commit: img-infinite-canvas AI design workbench MVP

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>

2026-07-07 23:15:37 +08:00

3 Commits