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>

server/README.md

@@ -0,0 +1,139 @@
+# img-infinite-canvas API
+
+go-zero backend for the Moteva-style infinite canvas MVP.
+
+## Features
+
+- Dashboard data for the Moteva home page
+- Project creation from prompt
+- Project title rename
+- Full canvas project reads
+- Moteva-style generation mock for image/design workflows
+- Canvas layout save
+- Chat history replay
+- DDD layout with domain, application, infrastructure, and generated handler layers
+- sky-valley/pi Go agent adapter with local desktop agent disabled
+- Optional PostgreSQL persistence through pgx/sqlc
+- Optional Redis cache, default memory cache
+- Asynq job queue for generation, OCR, layer merge, and asset cleanup workers
+- Image asset upload URLs for memory, MinIO, AWS S3, Cloudflare R2, and Aliyun OSS
+
+## Configuration
+
+```yaml
+Name: img_infinite_canvas-api
+Host: 0.0.0.0
+Port: 8888
+Timeout: 1200000
+Storage:
+  Driver: postgres
+  DataSource: postgres://canvas:canvas@localhost:15432/canvas?sslmode=disable
+Cache:
+  Driver: redis
+  Addr: localhost:16379
+  Password: ""
+  DB: 0
+  TTLSeconds: 300
+JobQueue:
+  Driver: asynq
+  Addr: localhost:16379
+  Password: ""
+  DB: 0
+  Queue: default
+  Concurrency: 10
+  MaxRetry: 3
+  TimeoutSeconds: 900
+  ShutdownTimeoutSeconds: 30
+Agent:
+  Driver: pi
+  Text:
+    Driver: vision
+    Model: gpt-5.4-mini
+    TimeoutSeconds: 240
+    CacheTTLSeconds: 600
+  Planner:
+    Driver: vision
+    Model: gpt-5.5
+    TimeoutSeconds: 240
+  Image:
+    BaseURL: http://154.21.87.3:8080
+    APIKeyEnv: GPT_IMAGE_API_KEY
+    TimeoutSeconds: 600
+ObjectStorage:
+  Driver: minio
+  Bucket: canvas-assets
+  Endpoint: localhost:19000
+  Region: us-east-1
+  AccessKey: canvas
+  SecretKey: canvas-secret
+  PublicBase: http://localhost:19000/canvas-assets
+  UseSSL: false
+  ExpiresIn: 900
+```
+
+Start local Docker dependencies for debugging:
+
+```bash
+docker compose -f ../deploy/docker-compose.yml up -d postgres redis minio
+```
+
+Use PostgreSQL, Redis, and MinIO inside Docker Compose. The compose file runs the API and Asynq worker as separate processes:
+
+```yaml
+Storage:
+  Driver: postgres
+  DataSource: postgres://canvas:canvas@postgres:5432/canvas?sslmode=disable
+Cache:
+  Driver: redis
+  Addr: redis:6379
+  TTLSeconds: 300
+JobQueue:
+  Driver: asynq
+  Addr: redis:6379
+  Queue: default
+  TimeoutSeconds: 900
+ObjectStorage:
+  Driver: minio
+  Bucket: canvas-assets
+  Endpoint: minio:9000
+  Region: us-east-1
+  AccessKey: canvas
+  SecretKey: canvas-secret
+  PublicBase: http://localhost:19000/canvas-assets
+  UseSSL: false
+```
+
+## Running
+
+```bash
+go run . -f etc/config.yaml -mode all
+go run . -f etc/config.yaml -mode api
+go run . -f etc/config.yaml -mode worker
+```
+
+## Testing
+
+```bash
+go test ./...
+go build ./...
+```
+
+## Example
+
+```bash
+curl http://localhost:8888/api/dashboard
+
+curl -X POST http://localhost:8888/api/projects \
+  -H "Content-Type: application/json" \
+  -d '{"prompt":"为 still day 品牌服装独立站设计官网视觉方向"}'
+
+curl -X PATCH http://localhost:8888/api/projects/<project-id>/title \
+  -H "Content-Type: application/json" \
+  -d '{"title":"夏季活动主视觉"}'
+
+curl -X POST http://localhost:8888/api/assets/upload-url \
+  -H "Content-Type: application/json" \
+  -d '{"fileName":"ref.png","contentType":"image/png"}'
+```
+
+Detailed endpoint docs are in [API.md](API.md).