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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>
117 lines
2.6 KiB
Markdown
117 lines
2.6 KiB
Markdown
# img-infinite-canvas
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Moteva 风格的 AI 设计工作台复刻 MVP：主页 Prompt 创建项目，项目页提供无限画布、节点拖拽、缩放平移、右侧设计对话、历史回放、图片与 DWG/DXF 图纸导入、项目保存与再生成。
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## Stack
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- Backend: go-zero, DDD layering, sqlc, pgx, PostgreSQL optional persistence
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- Cache: memory or Redis, default memory
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- Agent: sky-valley/pi Go agent runtime adapter, local desktop agent disabled
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- Image storage: memory, MinIO, AWS S3, Cloudflare R2, Aliyun OSS
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- Frontend: Next.js App Router, pnpm, Vite artifact build, TypeScript, gzip, i18n
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- Deploy: local binary, Docker Compose, k3s manifests
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## Run Locally
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Backend:
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```bash
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cd server
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go mod tidy
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go run . -f etc/config.yaml
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```
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Frontend:
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```bash
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cd frontend
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pnpm install
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pnpm dev
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```
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Open `http://localhost:5173`. Next.js rewrites `/api` to `http://localhost:8888` in development. `pnpm build` runs `next build` and `vite build`, producing gzip assets in `frontend/dist`.
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## CAD Import
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The canvas asset picker and drag-and-drop surface accept DWG and DXF files up to 24 MB. Conversion runs locally in a browser worker, uploads a sanitized derived SVG, and leaves the source file unchanged. DXF supports ASCII and binary drawings; DWG supports AutoCAD R14 through AutoCAD 2018 format families.
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## Cache Config
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Default in-memory cache:
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```yaml
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Cache:
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Driver: memory
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TTLSeconds: 300
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```
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Redis cache:
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```yaml
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Cache:
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Driver: redis
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Addr: localhost:6379
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Password: ""
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DB: 0
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TTLSeconds: 300
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```
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## Storage Config
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Default memory storage is useful for local UI work:
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```yaml
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Storage:
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Driver: memory
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```
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## Image Object Storage
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Default memory mode is useful for local prototyping. Production can use MinIO, AWS S3, Cloudflare R2, or Aliyun OSS:
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```yaml
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ObjectStorage:
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Driver: minio # memory|minio|s3|aws|r2|aliyun
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Bucket: canvas-assets
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Endpoint: localhost:9000
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Region: us-east-1
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AccessKey: canvas
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SecretKey: canvas-secret
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PublicBase: http://localhost:9000/canvas-assets
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UseSSL: false
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ExpiresIn: 900
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```
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PostgreSQL storage:
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```yaml
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Storage:
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Driver: postgres
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DataSource: postgres://canvas:canvas@localhost:5432/canvas?sslmode=disable
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```
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## Docker Compose
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```bash
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cd deploy
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docker compose up --build
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```
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Open `http://localhost:3000`.
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## k3s
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Build and load/push these images first:
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```bash
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docker build -t img-infinite-canvas-api:latest server
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docker build -t img-infinite-canvas-web:latest frontend
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kubectl apply -f deploy/k3s/img-infinite-canvas.yaml
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```
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The sample ingress host is `canvas.local`.
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## API
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See [server/API.md](server/API.md).
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