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105 Commits

Author SHA1 Message Date
yu 49851f2b5f feat(prompts): unify sources and add personal library 2026-07-21 01:08:11 +08:00
yu c81bb8b651 style(agent): distinguish chat participants 2026-07-20 12:14:36 +08:00
yu b7d0fe10bc fix(agent): improve chat navigation 2026-07-20 12:13:33 +08:00
HouYunFei d91e67a5ad feat(canvas): retain prompt input after node generation completion 2026-07-20 11:34:46 +08:00
HouYunFei d566d5cc46 Merge remote-tracking branch 'origin/main'
# Conflicts:
#	CHANGELOG.md
2026-07-20 07:55:56 +08:00
yu 8fb8d0b224 fix(agent): add uploaded images to canvas flows 2026-07-19 18:17:57 +08:00
yu 5e1fd7a825 fix(agent): synchronize shared Codex sessions 2026-07-18 15:29:58 +08:00
yu 062e4569aa feat(agent): add task status and client-scoped operations 2026-07-18 15:29:58 +08:00
HouYunFei b5dc9c8a87 feat(canvas): optimize CanvasAssetsTab and CanvasPromptsTab with memoization to improve performance 2026-07-18 08:27:20 +08:00
HouYunFei 75c22c2f9f feat(canvas): add "prompts" tab to the left panel with collapsible prompt sources 2026-07-18 08:19:59 +08:00
HouYunFei bdca6b0a5c feat(prompt-sources): add davidwu-gpt-image2-prompts to default prompt sources 2026-07-17 17:45:50 +08:00
HouYunFei d4130bbb79 feat(prompt-sources): add custom script fetching functionality for prompt sources 2026-07-17 17:36:42 +08:00
HouYunFei 0e1edd1484 chore(release): bump version to v0.9.0 and update changelog 2026-07-17 16:43:01 +08:00
HouYunFei 5107be0acf feat(canvas): 资产卡增删改重做 + 节点名称默认隐藏
- 资产 Tab 卡片重做:视频取首帧封面、文本铺内容、去标题成矩形,hover 居中显示插入/删除两个 icon 按钮
- 修复删除确认框「取消」经 React Portal 事件冒泡误触插入
- 资产 Tab 支持上传添加图片/视频、卡片移除资产
- 画布节点名称默认不再显示,仅在选中/悬停/编辑时出现
- 操作按钮改用扁平无灰底样式,并写入 AGENTS.md 规范

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-17 16:42:08 +08:00
HouYunFei 219b3e84db feat(canvas): 左侧面板可调宽收起 + 元素多选导出与跳转动画
- 左侧画布面板支持拖拽调整宽度、展开/收起(带动画),状态与宽度持久化
- 顶栏菜单左侧新增面板开关按钮,并缩小菜单/开关按钮
- 顶栏菜单新增「导出当前画布」为压缩包
- 画布元素列表支持多选并批量导出:图片/视频/音频为文件、文本为 txt、其余各自为 json
- 画布/资产切换改为滑动下划线动画,点击元素跳转带缓动动画
- 移除文本/配置/视频等非图片元素图标的灰色底色,并写入 AGENTS.md 规范

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-17 16:21:26 +08:00
HouYunFei a3411cf9d9 docs(changelog): note the drag-resize React #185 crash fix
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-17 15:17:57 +08:00
HouYunFei 430d1bd956 refactor(canvas-project): extract plugin host into usePluginHost hook
Move the plugin node host capabilities (pluginAi generation bridge, pluginHost
canvas accessors, renderPluginPanel, buildNodeToolbarItems) and the plugin-load
effect out of InfiniteCanvasPage into usePluginHost. The hook receives the
shared config/refs/setters explicitly and keeps identical dependency arrays.

This also relocates the AI-service and plugin imports (requestVideoGeneration,
selectableModelsByCapability, buildNodeContext, ensurePluginsLoaded, the
canvas-plugin types, etc.) that were only used by this cluster.

project.tsx is now ~2950 lines, down from 3536 at the start of the refactor.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-17 14:19:00 +08:00
HouYunFei cf0561d12a refactor(canvas-project): extract agent bridge into useAgentBridge hook
Move the canvas<->local-Agent bridge (agentSnapshot memo, applyAgentOps /
undoAgentOps, agentUndoSnapshot state, and the publish-to-agent-store effect)
out of InfiniteCanvasPage into a useAgentBridge hook. Only applyAgentOps is
consumed outside (by the plugin host); the rest is fully encapsulated.

The hook receives the shared canvas state/refs/setters explicitly and keeps the
exact same dependency arrays, so behavior is unchanged. project.tsx drops the
now-unused agent-ops imports and the setCanvasContext selector.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-17 14:14:10 +08:00
HouYunFei e6dcd7a832 refactor(canvas-project): extract CanvasTopBar into its own component
Move CanvasTopBar and its private helpers (MenuLabel, CompactAgentStatus,
Shortcut) out of project.tsx into canvas-top-bar.tsx. The component already took
all data via explicit props, so the move is mechanical with no behavior change.
Drop the imports (DOCS_URL, UserStatusActions, Dropdown, several icons) that
were only used by the top bar.

project.tsx is now ~3080 lines, down from 3536 at the start of the refactor.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-17 14:04:25 +08:00
HouYunFei 187c499ef9 refactor(canvas-project): extract refresh shell and create menus into components
Move the module-scope presentational subcomponents out of project.tsx:
- canvas-refresh-shell.tsx: CanvasRefreshShell (pre-load placeholder).
- canvas-create-menus.tsx: ConnectionCreateMenu, ConnectionCreateOption,
  NodeCreateMenu, plus the PendingConnectionCreate type they define.

They already communicated via explicit props, so the move is mechanical. No
behavior change; project.tsx imports them back and drops now-unused icon and
node-registry imports.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-17 14:00:53 +08:00
HouYunFei cf1ea2646f refactor(canvas-project): extract pure helpers into @/lib/canvas modules
Move the ~30 module-scope pure functions out of the 3.5k-line project.tsx into
three focused lib modules, with identical names and signatures. No behavior
change; project.tsx imports them back.

- canvas-node-factory.ts: createCanvasNode, *Metadata builders, referenceUrl,
  applyNodeConfigPatch.
- canvas-node-geometry.ts: nodeBounds, group drop/snap, connection anchors,
  normalizeConnection, hidden-batch checks.
- canvas-generation-helpers.ts: generation config/inputs, reference hydration,
  retry-source lookup, angle prompt builders, misc pure helpers.

project.tsx drops from 3536 to ~3230 lines. Also removes imports that were only
used by the moved helpers.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-17 13:46:07 +08:00
HouYunFei 57db0fe752 feat(canvas-local-agent-panel): optimize state management and rendering performance 2026-07-17 13:38:55 +08:00
HouYunFei c5f53454aa feat(changelog): add support for Google Analytics 4 and Baidu statistics 2026-07-17 11:32:11 +08:00
HouYunFei ca6efdf0c3 feat(analytics): implement runtime configuration and analytics tracking for GA4 and Baidu 2026-07-17 11:24:22 +08:00
HouYunFei a2586ffe34 feat(canvas-node-manual): enhance input box to support resource references with thumbnail display 2026-07-17 11:19:34 +08:00
HouYunFei 5a27aae99e feat(changelog): update entries for canvas node enhancements and image reference display 2026-07-17 10:15:16 +08:00
HouYunFei 66961ce10f feat(canvas-prompt-chip-input): implement new component for enhanced prompt input with reference chips 2026-07-17 10:06:57 +08:00
HouYunFei 0c4288b832 chore: update changelog for v0.8.2 and bump version to v0.8.2 2026-07-16 17:44:20 +08:00
HouYunFei 093260f7b2 feat(image-settings-panel): clarify transparent background feature availability in tooltip 2026-07-16 17:44:05 +08:00
HouYunFei 805573b980 feat(prompt-chip-input): implement contentEditable input for image references with thumbnail display 2026-07-16 17:32:43 +08:00
HouYunFei e6829333c5 feat(canvas-node): enhance input area styling and improve cursor visibility in prompt panel 2026-07-16 17:28:30 +08:00
HouYunFei 2959b5d340 feat(image-settings): add transparent background toggle for image generation 2026-07-16 15:45:02 +08:00
HouYunFei 2f9776bee3 chore: bump version to v0.8.1 2026-07-16 15:12:02 +08:00
HouYunFei 4beadc6161 feat(markdown-node): improve rendering performance and user interaction by caching parsed Markdown and optimizing DOM updates 2026-07-16 15:11:48 +08:00
HouYunFei 13c508bc34 feat(svg-node): enhance SVG node with transparent background rendering and improved editing experience 2026-07-16 14:13:43 +08:00
HouYunFei 5f627d5baf feat(sticky-note): update sticky note plugin with customizable colors, improved editing experience, and enhanced drag-and-drop functionality 2026-07-16 13:57:47 +08:00
HouYunFei 3f179a607a feat(panorama): enhance 3D panorama node with AI generation support and unified interaction toggle 2026-07-16 13:21:25 +08:00
HouYunFei 2d2c7e3d5e feat(plugin-manager): add upgrade notification for installed plugins and improve version handling 2026-07-16 10:36:41 +08:00
HouYunFei 3f623ea70c feat(html-node): enhance HTML node plugin with interactive toolbar and improved editor functionality 2026-07-15 17:51:39 +08:00
HouYunFei 7ac2ab351d chore(release): bump version to v0.8.0 and update CHANGELOG 2026-07-15 16:00:17 +08:00
HouYunFei b6e75c225e Merge branch 'dev'
# Conflicts:
#	.gitignore
#	CHANGELOG.md
#	web/bun.lock
2026-07-15 15:32:32 +08:00
HouYunFei 75aafc115f feat(plugin-sdk): add TypeScript SDK for Infinite Canvas plugins with automatic JSX and build support 2026-07-15 15:31:48 +08:00
HouYunFei 8d3f244524 feat(toolbar): add extension node management and close on outside click 2026-07-15 13:10:53 +08:00
HouYunFei 88510223eb feat(plugin): add local plugin discovery and management with cache busting 2026-07-15 12:55:59 +08:00
HouYunFei 3a4a4a6772 fix(deps): sync bun.lock with package.json for streamdown transitive deps 2026-07-15 11:59:59 +08:00
HouYunFei ee8f126da7 feat(id): replace crypto.randomUUID with nanoid for unique ID generation 2026-07-15 11:55:36 +08:00
HouYunFei eef4d96787 feat(plugin): implement canvas node plugin system with dynamic registration and remote installation 2026-07-15 11:47:25 +08:00
HouYunFei f0db29d8e3 feat(channel): add customizable JS model-call scripts with split-panel editor
- Run user-authored async scripts per model with flat locals (prompt,
  images, messages, params, model, baseUrl, apiKey, http, request, poll,
  sleep, signal, onDelta); empty script falls back to system default.
- Wire image/video/audio/text request entrypoints through the plugin
  runtime, keeping default handlers unchanged.
- Split-panel script editor: variable/return docs on the left, CodeMirror
  JS editor on the right; title shows capability - model.
- Provide OpenAI and Gemini template buttons per capability; text template
  uses the /responses API; image template branches text2img vs img2img.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-15 11:24:34 +08:00
HouYunFei 3963c6eebf feat(model): enhance model configuration and script handling for audio and video capabilities 2026-07-15 10:13:37 +08:00
HouYunFei c57f7d61a7 feat(model): enhance model configuration and script handling for audio and video capabilities 2026-07-15 10:13:32 +08:00
HouYunFei a4dcc679c9 feat(version): bump version to 0.7.0 2026-07-14 17:37:57 +08:00
HouYunFei b16263eb43 feat(version): bump version to 0.2.0 and update image ratio parsing functions 2026-07-14 17:37:51 +08:00
HouYunFei a5824f509e feat(agent): enhance local Agent connection handling with silent mode and update UI instructions 2026-07-14 17:08:20 +08:00
HouYunFei 7e0288d461 feat(docs): refine Infinite Canvas usage instructions and clarify local Agent connection process 2026-07-14 16:24:22 +08:00
HouYunFei 228ca29c82 feat(docs): update Infinite Canvas usage instructions and streamline local Agent connection process 2026-07-13 17:23:36 +08:00
HouYunFei 301fbce472 feat(canvas): add double-click functionality to create nodes from blank canvas area 2026-07-13 10:43:37 +08:00
HouYunFei ebd8ae2de7 feat(agent): clarify local Agent connection instructions for Codex plugin and manual MCP usage 2026-07-09 17:49:40 +08:00
HouYunFei 864ce4101a feat(agent): implement streamdown for real-time message rendering in chat 2026-07-09 17:16:35 +08:00
HouYunFei 25e1d173e8 feat(docs): add local development and canvas data structure documentation 2026-07-09 17:14:46 +08:00
HouYunFei 52a5e9e33a feat(agent): update documentation for new site tools and changelog guidelines 2026-07-09 16:54:48 +08:00
HouYunFei 2adbe9e43a feat(agent): add site tools support for canvas project listing and media generation 2026-07-09 16:53:09 +08:00
HouYunFei 7b347729ec feat(agent): implement global Agent panel with site navigation and interrupt functionality 2026-07-09 16:19:32 +08:00
HouYunFei 387d8be961 feat(canvas): enhance group node functionality with improved click and drag behavior 2026-07-09 13:31:13 +08:00
HouYunFei ec0e8c4e24 feat(canvas): add group node support with drag-and-drop functionality 2026-07-09 12:54:36 +08:00
HouYunFei abe3be58a6 feat(canvas): add group node support with drag-and-drop functionality 2026-07-09 11:48:23 +08:00
HouYunFei 050b36fad1 chore(changelog): add release notes for v0.6.0 2026-07-09 10:42:13 +08:00
HouYunFei 668c3adb52 chore(changelog): add release notes for v0.6.0 2026-07-09 10:21:07 +08:00
HouYunFei f2a36e86b2 fix(video): enhance video generation error handling and URL retrieval 2026-07-08 22:23:18 +08:00
HouYunFei d747527e2a Merge branch 'fork/beetle0915/fix/ime-enter-composition' into dev 2026-07-08 16:30:38 +08:00
HouYunFei 798d06b662 Merge branch 'fork/1797127235/fix/canvas-mode-model-switch' into dev
# Conflicts:
#	CHANGELOG.md
#	docs/content/docs/progress/pending-test.mdx
#	web/src/components/canvas/canvas-config-node-panel.tsx
#	web/src/components/canvas/canvas-node-prompt-panel.tsx
2026-07-08 16:23:12 +08:00
HouYunFei 257dab5bac fix: resolve issue with Gemini image format not passing aspect ratio configuration 2026-07-08 16:18:12 +08:00
HouYunFei 81144ea009 fix: resolve issue with Gemini image format not passing aspect ratio configuration 2026-07-08 15:11:18 +08:00
beetle0915 bac571ef4e Fix Enter handling during IME composition 2026-07-07 08:24:34 +08:00
1797127235 965d416aeb fix(canvas): switch to correct default model when changing generation mode 2026-07-06 10:33:52 +08:00
HouYunFei 3080d6da10 feat: enhance Codex agent connection handling with automatic thread recovery and improved error logging 2026-07-05 23:40:54 +08:00
HouYunFei 6113986637 refactor: remove agent mode switch and streamline local agent usage in the canvas assistant panel 2026-07-05 17:04:02 +08:00
HouYunFei ca5faa1f4e feat: add GitHub Pages workflow for automatic deployment on version tag push 2026-07-05 16:51:27 +08:00
HouYunFei 0b69dfce46 feat: add support for draggable grid lines in image slicing, with options to add, delete, and reset horizontal/vertical lines 2026-07-05 16:08:23 +08:00
HouYunFei 65a91b22e1 feat: add Codex App plugin support with dedicated configuration page and connection settings 2026-07-05 15:12:42 +08:00
HouYunFei 9dd0dc28b2 refactor: remove credit cost calculations and related UI elements from canvas node panels 2026-07-05 13:44:42 +08:00
HouYunFei 522153b3e6 fix: resolve issue with image retry results not persisting after page refresh in the image workbench 2026-07-05 12:46:51 +08:00
HouYunFei 568f0f1838 feat: remove deprecated backend .env.example file and update deployment configurations 2026-07-05 11:41:20 +08:00
HouYunFei cebc3dc5c2 feat: update project structure for Vite and React Router, remove deprecated sources, and enhance Docker deployment 2026-07-05 11:38:42 +08:00
HouYunFei 443afab7bd refactor: remove "use client" directive from multiple files and update project structure to align with Vite and React Router 2026-06-26 17:24:48 +08:00
HouYunFei e635ec6908 feat: migrate from Next.js to Vite and React Router, updating routing and environment variable handling 2026-06-26 16:41:32 +08:00
HouYunFei ef7a218ba6 feat(docs): update documentation to reflect direct browser connections for third-party prompts and WebDAV 2026-06-26 15:56:55 +08:00
HouYunFei bd0ad0aebf feat(plugin): add Codex App plugin support and local agent integration 2026-06-23 17:35:43 +08:00
HouYunFei 8cbe00e348 feat(api): add support for Gemini API format and enhance channel configuration 2026-06-17 10:24:55 +08:00
soldier 6300f5fb26 Merge branch 'main' of github.com:basketikun/infinite-canvas 2026-06-16 18:46:34 +08:00
soldier 73090da95a feat: 生成增加停止功能 2026-06-16 18:44:20 +08:00
HouYunFei 973d14f4c3 feat(changelog): update to version 0.4.0 with new web-based Agent Loop mode and Vercel one-click deployment support 2026-06-16 17:44:13 +08:00
HouYunFei f038406070 feat(agent): enhance model resolution logic by normalizing model options and improving generation model selection 2026-06-16 17:25:45 +08:00
HouYunFei 1b289f6a77 feat(agent): align online Agent tools with local Agent capabilities and enhance node creation and generation configuration 2026-06-16 16:52:52 +08:00
HouYunFei 27bd6f004b feat(agent): implement streaming responses for online Agent and enhance tool execution feedback 2026-06-16 16:16:04 +08:00
HouYunFei 7893bd72dd feat(agent): refactor tool response handling and enhance online agent functionality 2026-06-16 15:54:20 +08:00
HouYunFei f7b030e209 feat(agent): enhance online Agent functionality with improved read-only responses and log view 2026-06-16 14:02:53 +08:00
HouYunFei bce9c2d897 feat(agent): improve Agent panel interactions and enhance text model selection UI 2026-06-16 13:44:33 +08:00
HouYunFei b4515ed85f feat(agent): enhance Codex thread management with workspace verification and improved thread loading 2026-06-16 13:22:15 +08:00
HouYunFei 7f0199da59 feat: transition to a fully frontend architecture by removing backend dependencies and updating configuration for local deployment 2026-06-16 12:56:49 +08:00
HouYunFei 8a66524ea7 feat: update admin navigation and configuration for local deployment, enhance user experience with direct API connections 2026-06-16 12:07:35 +08:00
soldier 0d90465339 feat: enhance MentionMenu with active item scrolling functionality 2026-06-16 11:00:32 +08:00
HouYunFei d3923e21e0 feat(agent): enhance Canvas Agent with new operations and improved message handling 2026-06-15 23:24:56 +08:00
HouYunFei b1164f9c12 chore: update changelog for v0.3.0 release and bump version to v0.3.0 2026-06-15 17:48:48 +08:00
HouYunFei b6d358d6f8 feat: rename package to @basketikun/canvas-agent and update related configurations 2026-06-15 17:16:27 +08:00
HouYunFei e422285c59 feat(agent): implement local Canvas Agent with MCP integration and HTTP server 2026-06-14 18:27:44 +08:00
337 changed files with 36979 additions and 11925 deletions
+20
View File
@@ -0,0 +1,20 @@
{
"name": "infinite-canvas-local",
"interface": {
"displayName": "Infinite Canvas"
},
"plugins": [
{
"name": "infinite-canvas",
"source": {
"source": "local",
"path": "./plugins/infinite-canvas"
},
"policy": {
"installation": "AVAILABLE",
"authentication": "ON_INSTALL"
},
"category": "Productivity"
}
]
}
-29
View File
@@ -1,29 +0,0 @@
# 管理员账号,首次启动会自动创建。
ADMIN_USERNAME=admin
ADMIN_PASSWORD=infinite-canvas
# JWT 登录密钥和过期时间,正式部署请修改 JWT_SECRET。
JWT_SECRET=infinite-canvas
JWT_EXPIRE_HOURS=168
# 后端默认监听 8080,如需本地开发修改端口再取消注释。
# Docker 镜像内前端固定监听 3000,避免覆盖前端 PORT。
# PORT=8080
# 公开访问地址,用于把本地上传的 Seedance 参考图/视频暴露给火山方舟拉取。
# 线上部署时填写站点根地址,例如:https://your-domain.example.com
# PUBLIC_BASE_URL=https://your-domain.example.com
# 前端开发代理默认使用 http://127.0.0.1:8080,如后端开发端口不同,启动前端时可单独设置 API_BASE_URL。
# API_BASE_URL=http://127.0.0.1:8080
NEXT_PUBLIC_DOC_URL=https://docs.canvas.best
# 数据库配置,默认使用本地 SQLite。
STORAGE_DRIVER=sqlite
# sqlite: DATABASE_DSN=data/infinite-canvas.db
# Docker 部署时建议使用绝对路径,避免工作目录变化后写入临时库:DATABASE_DSN=/app/data/infinite-canvas.db
# mysql 目标库不存在时会尝试自动创建,账号需有 CREATE 权限。
# mysql: DATABASE_DSN=user:password@tcp(127.0.0.1:3306)/infinite_canvas?parseTime=true
# postgres 目标库不存在时会尝试自动创建,账号需有 CREATEDB 权限。
# postgres: DATABASE_DSN=postgres://user:password@127.0.0.1:5432/infinite_canvas?sslmode=disable
DATABASE_DSN=data/infinite-canvas.db
+52
View File
@@ -0,0 +1,52 @@
name: GitHub Pages
on:
push:
tags: ["v*"]
workflow_dispatch:
permissions:
contents: read
pages: write
id-token: write
concurrency:
group: pages
cancel-in-progress: false
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: oven-sh/setup-bun@v2
- name: Install dependencies
working-directory: web
run: bun install
- name: Build
working-directory: web
env:
VITE_BASE: /${{ github.event.repository.name }}/
run: bun run build
- name: Add SPA fallback
run: cp web/dist/index.html web/dist/404.html
- uses: actions/configure-pages@v5
- uses: actions/upload-pages-artifact@v3
with:
path: web/dist
deploy:
needs: build
runs-on: ubuntu-latest
environment:
name: github-pages
url: ${{ steps.deployment.outputs.page_url }}
steps:
- id: deployment
uses: actions/deploy-pages@v4
@@ -0,0 +1,59 @@
name: Publish Canvas Agent
on:
push:
branches:
- main
paths:
- "canvas-agent/**"
- ".github/workflows/publish-canvas-agent.yml"
workflow_dispatch:
permissions:
contents: read
concurrency:
group: publish-canvas-agent
cancel-in-progress: false
jobs:
publish:
runs-on: ubuntu-latest
defaults:
run:
working-directory: canvas-agent
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with:
node-version: 22
registry-url: https://registry.npmjs.org
- name: Install dependencies
run: npm install --no-audit --no-fund
- name: Check package version
id: package
run: |
name=$(node -p "require('./package.json').name")
version=$(node -p "require('./package.json').version")
published=$(npm view "$name@$version" version 2>/dev/null || true)
echo "name=$name" >> "$GITHUB_OUTPUT"
echo "version=$version" >> "$GITHUB_OUTPUT"
if [ -n "$published" ]; then
echo "should_publish=false" >> "$GITHUB_OUTPUT"
else
echo "should_publish=true" >> "$GITHUB_OUTPUT"
fi
- name: Publish to npm
if: steps.package.outputs.should_publish == 'true'
run: npm publish --access public
env:
NODE_AUTH_TOKEN: ${{ secrets.NPM_TOKEN }}
- name: Skip existing version
if: steps.package.outputs.should_publish != 'true'
run: echo "${{ steps.package.outputs.name }}@${{ steps.package.outputs.version }} already exists on npm, skipping publish."
+47
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@@ -0,0 +1,47 @@
name: Publish Official Plugins
# 构建官方插件并把产物(bundle + 清单)强推到孤儿分支 plugins-dist。
# 与 github-pages.yml 一致,在打版本 tag 时触发 —— 发版时 web 与官方插件一起发布。
# 前端经 jsDelivr 从该分支远程拉取;构建产物不进 main、不进 git。
on:
push:
tags: ["v*"]
workflow_dispatch:
permissions:
contents: write
concurrency:
group: publish-plugins
cancel-in-progress: false
jobs:
publish:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with:
node-version: 22
- name: Install build dependencies
working-directory: plugins/canvas/registry
run: npm install --no-audit --no-fund
- name: Build official plugins
working-directory: plugins/canvas/registry
run: npm run build
- name: Publish to plugins-dist branch
working-directory: plugins/canvas/registry/dist
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
git init -q
git config user.name "github-actions[bot]"
git config user.email "github-actions[bot]@users.noreply.github.com"
git checkout -q -b plugins-dist
git add -A
git commit -q -m "publish official plugins @ ${GITHUB_SHA::7}"
git push -f "https://x-access-token:${GH_TOKEN}@github.com/${GITHUB_REPOSITORY}.git" plugins-dist
+7
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@@ -8,3 +8,10 @@ data/
*.tsbuildinfo *.tsbuildinfo
.DS_Store .DS_Store
.idea .idea
web/dist
**/dist
web/public/plugins
plugins/canvas/*/dist
plugins/canvas/*/node_modules
web/public/plugins
+9 -18
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@@ -8,7 +8,7 @@
- 写代码保持最少行数,能简单实现就不要引入复杂抽象。 - 写代码保持最少行数,能简单实现就不要引入复杂抽象。
- 标准格式、协议、解析、压缩、加密、日期等通用能力优先使用成熟稳定的库,不要手写底层实现,除非用户明确要求或项目已有实现必须沿用。 - 标准格式、协议、解析、压缩、加密、日期等通用能力优先使用成熟稳定的库,不要手写底层实现,除非用户明确要求或项目已有实现必须沿用。
- 不要为了“兼容更多场景”写大量分支,只实现当前明确需要的功能。 - 不要为了“兼容更多场景”写大量分支,只实现当前明确需要的功能。
- 项目尚未上线,不需要兼容旧数据;表结构或字段调整时直接按新设计修改,不写旧字段兼容数据迁移兜底或删除旧表的清理逻辑,除非用户明确要求。 - 项目尚未上线,不需要兼容旧数据;本地存储结构调整时直接按新设计修改,不写旧字段兼容数据迁移兜底,除非用户明确要求。
- 每次写完代码,不需要检查语法,不需要执行构建,用户会自己做。 - 每次写完代码,不需要检查语法,不需要执行构建,用户会自己做。
- 不要改无关文件,不要顺手重构。 - 不要改无关文件,不要顺手重构。
- 如果工作区已有用户改动,不要回滚,不要覆盖;只在必要范围内追加修改。 - 如果工作区已有用户改动,不要回滚,不要覆盖;只在必要范围内追加修改。
@@ -19,28 +19,18 @@
- 补充时写成明确、可执行的规则,避免只写模糊描述。 - 补充时写成明确、可执行的规则,避免只写模糊描述。
- 新规则应放到最相关的章节;找不到合适章节时放到“项目注意事项”。 - 新规则应放到最相关的章节;找不到合适章节时放到“项目注意事项”。
## 后端规范
- 后端使用 Go + Gin + GORM。
- `handler/` 只处理 HTTP 入参、调用 service、返回 `OK` / `Fail`
- `service/` 放业务逻辑、默认值、校验、时间、ID、鉴权等处理。
- `repository/` 只做数据库访问和 GORM 查询。
- `model/` 只定义数据结构、枚举和简单模型方法。
- 列表接口优先沿用 `model.Query``Normalize`、分页和标签筛选方式。
- 业务接口保持 `{ code, data, msg }` 的响应结构。
- 新增数据表时同步更新 `docs/backend-database.md`
## 前端规范 ## 前端规范
- 前端使用 Next.js App Router、React、TypeScript、Ant Design、Tailwind、Zustand。 - 前端使用 Vite、React、React Router、TypeScript、Ant Design、Tailwind、Zustand。
- 编写 Ant Design 相关代码时,参考 https://ant.design/llms-full.txt 理解组件 API、示例和设计规范,并优先结合项目当前 antd 版本与既有写法。 - 编写 Ant Design 相关代码时,参考 https://ant.design/llms-full.txt 理解组件 API、示例和设计规范,并优先结合项目当前 antd 版本与既有写法。
- API 请求统一放在 `web/src/services/api/` - 外部服务请求统一放在 `web/src/services/api/`,由浏览器前端直连,不假设存在项目后端
- 全局或跨页面状态优先放在 `web/src/stores/` - 全局或跨页面状态优先放在 `web/src/stores/`
- 已经放在全局 store 或全局 hook 中的状态/动作,组件需要时直接使用对应 store/hook,不要为了“纯组件”层层透传 props;避免一个组件传递过多参数。 - 已经放在全局 store 或全局 hook 中的状态/动作,组件需要时直接使用对应 store/hook,不要为了“纯组件”层层透传 props;避免一个组件传递过多参数。
- 全局组件、全局常量、全局配置等全局性质的内容不要作为 props 或参数层层传递;哪里需要就在哪里直接从对应全局入口获取。 - 全局组件、全局常量、全局配置等全局性质的内容不要作为 props 或参数层层传递;哪里需要就在哪里直接从对应全局入口获取。
- 多个页面重复出现的 UI 副作用动作,例如复制文本并提示、下载并提示、统一确认弹窗,优先抽成 `web/src/hooks/` 下的全局 hook;不要放进 store,除非它确实是需要共享/订阅的状态。 - 多个页面重复出现的 UI 副作用动作,例如复制文本并提示、下载并提示、统一确认弹窗,优先抽成 `web/src/hooks/` 下的全局 hook;不要放进 store,除非它确实是需要共享/订阅的状态。
- 画布相关状态和组件放在 `web/src/app/(user)/canvas/` 内部 - 路由页面放在 `web/src/pages/`,页面布局放在 `web/src/layouts/`,路由配置放在 `web/src/router.tsx`
- 页面里只有一个主业务组件时直接写在 `page.tsx`,不要单独拆 `Manager` 组件再传一堆 props - 画布页面放在 `web/src/pages/canvas/`,画布组件放在 `web/src/components/canvas/`,画布状态放在 `web/src/stores/canvas/`,画布工具函数放在 `web/src/lib/canvas/`
- 页面按目录组织,例如 `web/src/pages/image/index.tsx`;页面里只有一个主业务组件时直接写在对应页面入口中,不要单独拆 `Manager` 组件再传一堆 props。
- 不要新增只做简单转发的组件,例如只 `return <X>{children}</X>` 或只换个名字透传 props;直接在使用处使用真实组件或把逻辑写进当前文件。 - 不要新增只做简单转发的组件,例如只 `return <X>{children}</X>` 或只换个名字透传 props;直接在使用处使用真实组件或把逻辑写进当前文件。
- 页面私有 hook 放在对应页面目录下,例如 `admin/assets/use-admin-assets.ts`;只有多个页面真实复用的 hook 才放到外层 `hooks/` - 页面私有 hook 放在对应页面目录下,例如 `admin/assets/use-admin-assets.ts`;只有多个页面真实复用的 hook 才放到外层 `hooks/`
- 管理后台页面私有组件放到各自页面目录的 `components/` 下,例如 `admin/assets/components/``admin/prompts/components/`;不要为了单页面使用放到 `admin/components/` 共享目录。 - 管理后台页面私有组件放到各自页面目录的 `components/` 下,例如 `admin/assets/components/``admin/prompts/components/`;不要为了单页面使用放到 `admin/components/` 共享目录。
@@ -61,6 +51,8 @@
- 不要硬编码黑白、stone、slate 等颜色导致浅色/深色主题不一致。 - 不要硬编码黑白、stone、slate 等颜色导致浅色/深色主题不一致。
- 新增画布按钮、弹窗、浮层时,尽量复用已有工具栏、节点面板、Modal 的视觉风格。 - 新增画布按钮、弹窗、浮层时,尽量复用已有工具栏、节点面板、Modal 的视觉风格。
- 画布顶部工具栏和状态信息优先采用极简扁平风格:无边框、无阴影、无胶囊背景,融入整体背景,弱化按钮感,仅保留轻微 hover 反馈,保持简洁现代、低视觉重量。 - 画布顶部工具栏和状态信息优先采用极简扁平风格:无边框、无阴影、无胶囊背景,融入整体背景,弱化按钮感,仅保留轻微 hover 反馈,保持简洁现代、低视觉重量。
- 左侧画布面板等列表里的节点/元素缩略图容器,非图片类型(文本、配置、视频、音频等)不要使用 `theme.node.fill``#e7e5df`/`#292524`)这类灰色背景,图标直接无背景展示,尽量不要给多余底色,保持干净。
- 画布内的操作按钮(如面板里的「添加」「导出」「选择」等)默认用扁平无底色样式:透明背景、仅 `hover:bg-black/5 dark:hover:bg-white/10` 轻微反馈,靠图标+文字表达,不要用 `theme.toolbar.activeBg``#e7e5df`/`#3a3631`)或 `theme.node.fill` 之类的灰色作为按钮填充底色。灰色 `activeBg` 只允许用于「选中态」等需要表达状态的高亮,不要当普通装饰底色。
- 图片节点尺寸逻辑要尊重原始比例,除非功能明确要求自由变形。 - 图片节点尺寸逻辑要尊重原始比例,除非功能明确要求自由变形。
- 批量生成、多图展示、助手面板等画布交互要尽量简洁,不要占用过多画布空间。 - 批量生成、多图展示、助手面板等画布交互要尽量简洁,不要占用过多画布空间。
@@ -72,10 +64,9 @@
- 后续待办写到 `docs/content/docs/progress/todo.mdx` - 后续待办写到 `docs/content/docs/progress/todo.mdx`
- 已实现但还需要用户测试确认的事项写到 `docs/content/docs/progress/pending-test.mdx` - 已实现但还需要用户测试确认的事项写到 `docs/content/docs/progress/pending-test.mdx`
- `docs/content/docs/progress/pending-test.mdx` 用来记录这个版本实际做了哪些可测试变更;`CHANGELOG.md``Unreleased` 只保留对这些变更的版本级归纳,避免逐条照搬实现细节。 - `docs/content/docs/progress/pending-test.mdx` 用来记录这个版本实际做了哪些可测试变更;`CHANGELOG.md``Unreleased` 只保留对这些变更的版本级归纳,避免逐条照搬实现细节。
- 每次重大改动(新增/调整/删除功能、接口或工具,影响用户可感知行为)完成后,都要在 `CHANGELOG.md``Unreleased` 追加一条记录,按 `[新增]` / `[调整]` / `[修复]` / `[优化]` 前缀分类,用一句中文归纳;纯内部重构、格式化、无用户可感知影响的小改动可不记。
- 每次 todo 事项完成后,先从 `docs/content/docs/progress/todo.mdx` 移到 `docs/content/docs/progress/pending-test.mdx`,不要直接写进正式功能说明;用户确认测试通过后再更新 `docs/content/docs/overview/features.mdx` - 每次 todo 事项完成后,先从 `docs/content/docs/progress/todo.mdx` 移到 `docs/content/docs/progress/pending-test.mdx`,不要直接写进正式功能说明;用户确认测试通过后再更新 `docs/content/docs/overview/features.mdx`
- 每次任务完成前,都要根据实际变更检查并更新 `docs/content/docs/progress/todo.mdx``docs/content/docs/progress/pending-test.mdx`;如果功能或待办没有变化,也要确认无需修改。 - 每次任务完成前,都要根据实际变更检查并更新 `docs/content/docs/progress/todo.mdx``docs/content/docs/progress/pending-test.mdx`;如果功能或待办没有变化,也要确认无需修改。
- 接口响应规则写到 `docs/content/docs/backend/api-response.mdx`
- 数据库结构写到 `docs/content/docs/backend/backend-database.mdx`
- 文档不要写过期日期;除非用户明确要求记录具体时间。 - 文档不要写过期日期;除非用户明确要求记录具体时间。
## 发版本流程 ## 发版本流程
+102
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@@ -2,6 +2,108 @@
## Unreleased ## Unreleased
+ [新增] 提示词来源新增 Banana Prompt Quicker,并支持添加自定义标准 JSON 来源。
+ [新增] 提示词中心新增「我的提示词」,支持本地管理、从公共库保存,并可在画布提示词库中直接使用。
+ [新增] Agent 新增统一生成任务状态查询,支持查看画布、生图工作台和视频工作台任务进度。
+ [调整] 内置提示词来源改为读取 Image Prompts 统一 JSON 数据,不再由画布端分别解析。
+ [调整] 提示词来源配置保留卡片式交互,并展示来源数量、同步状态和上次成功时间。
+ [优化] 提示词来源支持独立缓存和更新,更新失败时保留上一次成功内容。
+ [优化] Agent 对话区分用户与 AI 消息,并优化会话切换和回到最新消息的交互。
+ [优化] 画布生成完成后保留提示词输入,并改善提示词库和资产面板的交互性能。
+ [修复] 本地 Agent 完善多标签页请求隔离、结果归属、焦点回退和 Codex 会话状态同步。
+ [修复] 本地 Agent 上传的图片附件可正确创建画布图片节点并连接生成流程。
+ [修复] 画布提示词库支持跨来源搜索,插入节点时保留提示词标题。
## v0.9.0 - 2026-07-17
+ [新增] 左侧面板「资产」Tab 支持上传添加图片/视频资产、卡片悬停移除资产。
+ [新增] 左侧画布面板支持拖拽调整宽度、展开/收起(带动画),顶栏菜单左侧新增面板开关按钮。
+ [新增] 顶栏菜单新增「导出当前画布」,导出为包含全部资源的压缩包。
+ [新增] 左侧画布元素列表支持多选并批量导出选中元素为压缩包。
+ [新增] 可选的网站统计分析:支持 Google Analytics 4 与百度统计。
+ [调整] 画布节点名称默认不再显示,仅在选中/悬停/编辑时出现,画布更简洁。
+ [优化] 左侧面板「画布/资产」切换改为带滑动下划线的动画,移除非图片元素图标的灰色底色。
+ [优化] 画布节点提示词面板 `@` 引用图片时,输入框内直接显示真实缩略图。
+ [优化] 移除画布节点右上角的「图片1/文本1」资源角标,引用改在对话面板 `@` 直接选取。
+ [修复] 连接本地 Codex Agent 后,拖拽画布节点边框缩放等高频编辑导致页面崩溃。
## v0.8.2 - 2026-07-16
+ [新增] 图像设置新增「透明背景」开关,开启后生成无背景的透明图像。
+ [优化] 画布节点输入区域移除灰色底色与边框、美化样式。
+ [修复] 画布节点提示词输入框补上悬停文本光标。
## v0.8.1 - 2026-07-16
+ [新增] 插件 SDK 扩展:AI 生成能力、面板控制能力。
+ [优化] 3D 全景(1.1.0)支持上传与 AI 生成并升级查看器;
+ [优化] HTML 节点(1.2.0)迁移到统一交互开关;
+ [优化] 便利贴(1.1.0)可拖动移动、自选颜色、移除资源角标与衍生功能;
+ [优化] SVG 节点(1.1.0)透明背景融入画布、可拖动、去除默认值;
+ [优化] 画布节点渲染性能:memo 化节点回调,交互时不再全量重渲染;
+ [修复] 修复 Markdown 节点在点击/移动视角时重复渲染导致图片反复请求的问题;
+ [修复] 修复插件版本号显示不更新,插件面板新增可升级绿点提醒。
## v0.8.0 - 2026-07-15
+ [新增] 画布节点插件系统:支持通过 URL 动态安装/启用/更新/卸载远程节点插件。
+ [新增] 插件开发 SDK,可用 TypeScript 开发画布节点插件。
+ [新增] 新增 Markdown、SVG、HTML、3D 全景、便利贴等示例插件。
+ [新增] 官方插件注册表:节点插件面板可从项目仓库读取官方插件列表并一键安装。
+ [新增] 在画布右上角工具栏新增「节点插件」入口。
+ [新增] 支持自定义生图/视频接口调用方式以适配不同中转站。
## v0.7.1 - 2026-07-15
+ [修复] 修复页面白屏报错的问题。
## v0.7.0 - 2026-07-14
+ [新增] Agent 对话消息改用 streamdown 流式渲染,提升Markdown 内容展示效果。
+ [新增] Agent 新增画布、工作台、提示词库和素材等站点级工具。
+ [新增] Agent 面板改为全站常驻右侧栏,开关时同步推动顶栏和页面内容。
+ [新增] Agent 新增 `site_navigate` 工具,支持页面跳转。
+ [新增] Agent 对话运行中支持一键停止,中断当前 Codex turn。
+ [新增] 画布节点支持统一维护名称字段,默认显示在节点上方,并可直接双击名称编辑。
+ [新增] 画布新增组节点,支持节点拖入/拆出分组、拖拽高亮吸附和移动组时带动子节点。
+ [新增] 画布空白区域支持双击打开节点选择菜单,并在点击位置创建节点。
+ [调整] Codex 会话改为站点级连续线程,跨页面和跨画布保持同一上下文。
+ [调整] 移除仅前端调用 OpenAI responses 接口,统一走 MCP + 本地 Codex 链路。
+ [调整] 画布节点顶部工具条改为点击选中节点后显示,避免鼠标经过节点时频繁弹出。
+ [优化] 本地 Agent 连接说明明确区分插件 / 手动 MCP 才会增加 Codex token 消耗。
+ [优化] 优化本地 Agent 连接说明,区分 Codex 插件启动和直接运行 Agent 两种方式。
+ [修复] 修复 Gemini 格式生图时因内置比例列表触发误报导致生成失败的问题。
## v0.6.0 - 2026-07-09
+ [新增] 新增Codex App插件支持。
+ [新增] 配置与用户偏好新增独立页面和 Codex 连接配置 Tab。
+ [新增] 新增GitHub Pages 前端静态站点发布 workflow。
+ [新增] 图片切图支持等分线直接拖拽调整,并可新增、删除和重置横向 / 纵向切图线。
+ [调整] Docker 运行镜像改为 nginx 静态托管。
+ [调整] 移除网站Agent模式,专注于连接Codex Agent操作画布
+ [修复] 修复生图工作台重试成功结果刷新后丢失的问题。
+ [修复] 修复 Gemini 调用格式生图未传递尺寸比例配置的问题。
+ [修复] 修复前端 TypeScript 构建报错。
+ [修复] 修复画布生成配置切换文本/视频/音频模式时模型仍显示为生图模型的问题。
+ [修复] 兼容中转站视频任务直接返回视频 URL 且没有 `/content` 接口的情况,并优化失败原因展示。
## v0.5.0 - 2026-07-05
+ [新增] 渠道兼容Gemini格式。
+ [调整] 前端从 Next.js 迁移到 Vite,项目改为静态前端构建。
+ [调整] 移除已 404 的 EvoLinkAI 提示词来源。
## v0.4.0 - 2026-06-16
+ [新增] 新增网页版Agent Loop模式。
+ [新增] 支持Vercel一键部署。
+ [调整] 移除后端,项目定位为个人画布工具。
## v0.3.0 - 2026-06-15
+ [新增] 新增canvas-agent通过codex操作画布。
## v0.2.5 - 2026-06-08 ## v0.2.5 - 2026-06-08
+ [新增] 新增图片切图功能。 + [新增] 新增图片切图功能。
+91
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@@ -0,0 +1,91 @@
# Contributor License Agreement
This Contributor License Agreement ("Agreement") applies to any code,
documentation, design asset, issue text, pull request, patch, or other
material ("Contribution") that you submit to the infinite-canvas project
("Project").
By submitting a Contribution, you agree to the terms below.
## 1. Copyright License
You keep ownership of your Contributions.
You grant the Project maintainers, including the repository owner, a
perpetual, worldwide, non-exclusive, royalty-free, irrevocable license to use,
reproduce, modify, prepare derivative works of, publicly display, publicly
perform, sublicense, distribute, commercialize, and otherwise exploit your
Contributions as part of the Project and related distributions.
This license allows the maintainers to publish your Contributions under the
Project's open-source license, currently GNU Affero General Public License
v3.0, and to use them in commercial, proprietary, privately licensed,
source-available, or other versions, services, support offerings, or
derivatives related to the Project.
## 2. Relicensing
You grant the Project maintainers, including the repository owner, the
perpetual, worldwide, irrevocable right to relicense the Project, in whole or
in part, under any license terms, whether existing now or created in the
future.
You agree that your Contributions may be incorporated into and distributed as
part of versions of the Project released under open-source, source-available,
proprietary, commercial, private, dual-license, or other licensing models,
without requiring additional permission, notice, approval, or compensation.
This right includes distribution of the Project as software, hosted services,
Software-as-a-Service (SaaS), managed services, commercial offerings, OEM
products, embedded products, and any other form of distribution or use.
## 3. Patent License
If your Contribution is covered by patents that you own or control, you grant
the Project maintainers and recipients of the Project a perpetual, worldwide,
non-exclusive, royalty-free, irrevocable patent license to make, use, sell,
offer for sale, import, and otherwise run, modify, and distribute your
Contribution as part of the Project.
## 4. Right to Contribute
You represent that:
* You have the legal right to submit the Contribution.
* The Contribution is your original work, or you have permission to submit it
under this Agreement.
* Any third-party material included in the Contribution is clearly identified
and compatible with the Project's license and this Agreement.
* If you submit a Contribution on behalf of an employer or organization, you
are authorized to do so.
## 5. No Obligation
The maintainers are not required to accept, review, merge, publish, or keep any
Contribution. The maintainers may modify, reject, revert, or remove
Contributions at their sole discretion.
## 6. No Warranty
You provide your Contributions "as is", without warranties or conditions of any
kind, express or implied, including warranties of merchantability, fitness for
a particular purpose, title, and non-infringement.
## 7. How This Agreement Is Accepted
Submitting a pull request, patch, commit, issue attachment, design asset,
documentation update, or any other Contribution to this repository constitutes
acceptance of this Agreement.
Maintainers may request explicit confirmation by asking contributors to comment:
```text
I have read and agree to CLA.md.
```
or by requiring acceptance through an automated CLA workflow.
## 8. Contact
For questions about this Agreement, contact the maintainers through the
repository or email `1844025705@qq.com`.
+8 -34
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@@ -1,46 +1,20 @@
# 构建 Next.js 前端产物。 # 构建 Vite 前端产物。
FROM oven/bun:1.3.13 AS web-build FROM oven/bun:1.3.13 AS web-build
WORKDIR /app/web WORKDIR /app/web
COPY web/package.json web/bun.lock ./ COPY web/package.json web/bun.lock ./
RUN --mount=type=cache,target=/root/.bun/install/cache bun install --frozen-lockfile --cache-dir=/root/.bun/install/cache RUN --mount=type=cache,target=/root/.bun/install/cache bun install --cache-dir=/root/.bun/install/cache
COPY VERSION /app/VERSION COPY VERSION /app/VERSION
COPY CHANGELOG.md /app/CHANGELOG.md COPY CHANGELOG.md /app/CHANGELOG.md
COPY web ./ COPY web ./
RUN bun run build RUN bun run build
# 构建 Go 后端入口。 # 运行镜像:只启动静态前端,AI 请求由浏览器前台直连用户自己的接口。
FROM golang:1.25-alpine AS api-build FROM nginx:1.27-alpine
WORKDIR /app COPY --from=web-build /app/web/dist /usr/share/nginx/html
COPY go.mod go.sum ./ COPY nginx.conf /etc/nginx/conf.d/default.conf
COPY config ./config COPY web/docker-entrypoint.sh /docker-entrypoint.d/40-runtime-config.sh
COPY handler ./handler RUN chmod +x /docker-entrypoint.d/40-runtime-config.sh
COPY middleware ./middleware
COPY model ./model
COPY repository ./repository
COPY router ./router
COPY service ./service
COPY main.go ./
RUN go build -o /server .
# 运行镜像:Next.js 对外监听 3000,Go 只在容器内部监听 8080。
FROM node:22-bookworm-slim
WORKDIR /app
COPY VERSION /app/VERSION
COPY CHANGELOG.md /app/CHANGELOG.md
COPY --from=api-build /server /app/server
COPY --from=web-build /app/web/public /app/web/public
COPY --from=web-build /app/web/.next/standalone /app/web
COPY --from=web-build /app/web/.next/static /app/web/.next/static
ENV NODE_ENV=production
ENV HOSTNAME=0.0.0.0
ENV PORT=3000
ENV PROMPT_DATA_DIR=/app/data/prompts
RUN apt-get update && apt-get install -y --no-install-recommends ca-certificates && rm -rf /var/lib/apt/lists/*
RUN mkdir -p /app/data/prompts
EXPOSE 3000 EXPOSE 3000
# 先启动内部 Go API,再由 Next.js 提供页面并代理 /api/*。
CMD ["sh", "-c", "PORT=8080 /app/server & cd /app/web && PORT=3000 node server.js"]
+41 -54
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@@ -8,70 +8,69 @@
<a href="https://linux.do/"><img src="https://img.shields.io/badge/Linux.do-Community-2b6de8?style=flat-square" alt="Linux.do"></a> <a href="https://linux.do/"><img src="https://img.shields.io/badge/Linux.do-Community-2b6de8?style=flat-square" alt="Linux.do"></a>
<a href="https://render.com/deploy?repo=https://github.com/basketikun/infinite-canvas"><img src="https://img.shields.io/badge/Render-Deploy-46e3b7?style=flat-square&logo=render&logoColor=111111" alt="Deploy to Render"></a> <a href="https://render.com/deploy?repo=https://github.com/basketikun/infinite-canvas"><img src="https://img.shields.io/badge/Render-Deploy-46e3b7?style=flat-square&logo=render&logoColor=111111" alt="Deploy to Render"></a>
<a href="https://github.com/basketikun/infinite-canvas"><img src="https://img.shields.io/github/stars/basketikun/infinite-canvas?style=flat-square&logo=github" alt="GitHub stars"></a> <a href="https://github.com/basketikun/infinite-canvas"><img src="https://img.shields.io/github/stars/basketikun/infinite-canvas?style=flat-square&logo=github" alt="GitHub stars"></a>
<a href="VERSION"><img src="https://img.shields.io/badge/version-v0.2.0-2563eb?style=flat-square" alt="Version"></a> <a href="https://github.com/basketikun/infinite-canvas/tags"><img src="https://img.shields.io/github/v/tag/basketikun/infinite-canvas?style=flat-square&label=version" alt="Version"></a>
<a href="LICENSE"><img src="https://img.shields.io/badge/license-AGPL--3.0-f97316?style=flat-square" alt="License"></a> <a href="LICENSE"><img src="https://img.shields.io/badge/license-AGPL--3.0-f97316?style=flat-square" alt="License"></a>
<a href="https://www.docker.com/"><img src="https://img.shields.io/badge/Docker-ready-2496ed?style=flat-square&logo=docker&logoColor=white" alt="Docker ready"></a> <a href="https://vite.dev/"><img src="https://img.shields.io/badge/Vite-7-646cff?style=flat-square&logo=vite&logoColor=white" alt="Vite"></a>
<a href="https://nextjs.org/"><img src="https://img.shields.io/badge/Next.js-16.2-000000?style=flat-square&logo=nextdotjs" alt="Next.js"></a> <a href="https://reactrouter.com/"><img src="https://img.shields.io/badge/React_Router-7-ca4245?style=flat-square&logo=reactrouter&logoColor=white" alt="React Router"></a>
<a href="https://go.dev/"><img src="https://img.shields.io/badge/Go-1.25-00add8?style=flat-square&logo=go&logoColor=white" alt="Go"></a> </p>
<p align="center">
<a href="https://trendshift.io/repositories/50077?utm_source=trendshift-badge&amp;utm_medium=badge&amp;utm_campaign=badge-trendshift-50077" target="_blank" rel="noopener noreferrer"><img src="https://trendshift.io/api/badge/trendshift/repositories/50077/daily?language=TypeScript" alt="basketikun%2Finfinite-canvas | Trendshift" width="250" height="55"></a>
</p>
<p align="center">
<a href="docs/content/docs/overview/quick-start.mdx">快速开始</a> · <a href="docs/content/docs/overview/features.mdx">功能介绍</a> · <a href="docs/content/docs/overview/render.mdx">Render 部署</a> · <a href="docs/content/docs/overview/docker.mdx">Docker 部署</a> · <a href="docs/content/docs/canvas/canvas-node-manual.mdx">画布节点操作手册</a> · <a href="docs/content/docs/canvas/canvas-shortcuts.mdx">画布快捷键</a> · <a href="CLA.md">贡献者协议</a> · <a href="SECURITY.md">漏洞提交</a> · <a href="docs/content/docs/progress/todo.mdx">待办事项</a> · <a href="canvas-agent/README.md">本地 Canvas Agent</a> · <a href="plugins/infinite-canvas">Codex app 插件</a>
</p> </p>
无限画布是一款面向图片创作的开源工作台。它把画布编排、AI 图片生成、参考图编辑、对话助手、提示词库和素材沉淀放在同一个界面里,适合用来探索视觉方案并连续迭代图片结果。 无限画布是一款面向图片创作的开源工作台。它把画布编排、AI 图片生成、参考图编辑、对话助手、提示词库和素材沉淀放在同一个界面里,适合用来探索视觉方案并连续迭代图片结果。
> [!CAUTION] > [!CAUTION]
> 项目目前处于开发阶段,不保证历史数据兼容。各种数据库结构和存储格式都可能直接调整,欢迎关注后续更新,当前更适合个人/本地部署,不建议直接公网多人共用。 > 项目目前处于开发阶段,不保证历史数据兼容。各种本地存储格式都可能直接调整,欢迎关注后续更新,当前更适合个人/本地部署,不建议直接公网多人共用。
> >
> 如果你需要稳定维护自己的分支,建议自行 fork 后独立开发。二次开发与 PR 请保留原作者信息和前端页面标识。 > 如果你需要稳定维护自己的分支,建议自行 fork 后独立开发。二次开发与 PR 请保留原作者信息和前端页面标识。
## 核心功能 ## 核心功能
- 无限画布:多画布项目、节点拖拽缩放、连线、小地图、撤销重做、导入导出。 - 无限画布:多画布项目、节点拖拽缩放、连线、小地图、撤销重做、导入导出。
- AI 创作:支持 OpenAI 兼容接口文生图、图生图、参考图编辑、文本问答和视频生成Seedance 2.0 可通过火山方舟 Agent Plan 接入 - AI 创作:浏览器前台直连你配置的 OpenAI 兼容接口,支持文生图、图生图、参考图编辑、文本问答、音频和视频生成。
- 画布助手:围绕选中节点和上游节点对话、生图,并把结果插回画布。 - 画布助手:围绕选中节点和上游节点对话、生图,并把结果插回画布。
- 提示词库:抓取多个 GitHub 开源项目,按案例整理数百个图片提示词。 - 本地 Agent:通过本机 Canvas Agent 连接 Codex / Claude Code,让 Agent 通过 MCP 操作当前画布;
- Codex App 插件:提供 Codex app 插件,安装后会自动注册 MCP 并尝试拉起本地 Agent。
- 插件系统:支持通过 URL 动态安装 / 启用 / 更新 / 卸载远程节点插件,并提供 TypeScript SDK 自行开发画布节点插件。
- 自定义接口调用:可自定义生图 / 视频接口的调用方式,灵活适配各类中转站与自建服务。
- 提示词库:浏览器前端直连多个 GitHub 开源项目,并缓存到 IndexedDB。
完整功能说明见 [docs/features.md](docs2/features.md)。 完整功能说明见 [功能介绍](docs/content/docs/overview/features.mdx)。
如果你在为担心没有合适的生图API来发愁,可以查看该免费生图项目:[chatgpt2api](https://github.com/basketikun/chatgpt2api) 如果你在为担心没有合适的生图API来发愁,可以查看该免费生图项目:[chatgpt2api](https://github.com/basketikun/chatgpt2api)
## 技术栈
- 前端:Next.js、React、TypeScript、Tailwind CSS、Ant Design、Zustand、TanStack Query。
- 后端:Go、Gin、GORM。
- 部署:Docker。
## 快速开始 ## 快速开始
[![Deploy to Render](https://render.com/images/deploy-to-render-button.svg)](https://render.com/deploy?repo=https://github.com/basketikun/infinite-canvas) AI API Key、Base URL、画布、素材和生成记录默认保存在浏览器本地。
### 本地开发
```bash ```bash
git clone git@github.com:basketikun/infinite-canvas.git git clone git@github.com:basketikun/infinite-canvas.git
cd infinite-canvas cd infinite-canvas
cp .env.example .env cd web
# 修改默认账号密码等信息 bun install
docker-compose up -d bun run dev
``` ```
本地源码构建运行: ### Docker 运行
```bash ```bash
cp .env.example .env git clone git@github.com:basketikun/infinite-canvas.git
docker compose -f docker-compose.local.yml up -d --build cd infinite-canvas
docker compose up -d
``` ```
运行后默认端口3000,可访问 `http://localhost:3000` 运行后默认端口3000,可访问 `http://localhost:3000`
如需要拉取提示词,可前往:`http://localhost:3000/admin/prompts` 首次打开后进入右上角配置,填入自己的 OpenAI 兼容 `Base URL``API Key`
## New API 自动配置 如果默认的OpenAI接口调用方式与您的API不同,可自定义生图/视频脚本调用。
如果使用 New API,可在 `系统设置 -> 聊天方式 -> 添加聊天设置` 中填入:
```text
https://infinite-canvas-cpco.onrender.com?apiKey={key}&baseUrl={address}
```
跳转后会自动打开配置弹窗并填入 API Key 和 Base URL。
如果自己部署了,可以把 `https://infinite-canvas-cpco.onrender.com` 替换成你部署的地址。
## 效果展示 ## 效果展示
@@ -88,35 +87,23 @@ https://infinite-canvas-cpco.onrender.com?apiKey={key}&baseUrl={address}
<td width="50%"><img src="https://i.ibb.co/bj30FtS5/5.png" alt="5" border="0"></td> <td width="50%"><img src="https://i.ibb.co/bj30FtS5/5.png" alt="5" border="0"></td>
<td width="50%"><img src="https://i.ibb.co/hxRvjw51/image.png" alt="image" border="0"></td> <td width="50%"><img src="https://i.ibb.co/hxRvjw51/image.png" alt="image" border="0"></td>
</tr> </tr>
<tr>
<td width="50%"><img src="https://i.ibb.co/jkWsF8q1/image.png" alt="image" border="0"></td>
<td width="50%"><img src="https://i.ibb.co/XrnfXHx7/image.png" alt="image" border="0"></td>
</tr>
</table> </table>
## 文档 ## 联系方式
- [功能介绍](docs2/features.md) 项目定制二次开发需求 / 生图 API 需求可联系。
- [部署说明](docs2/deployment.md)
- [画布节点操作手册](docs2/canvas-node-manual.md) 邮箱:1844025705@qq.com · QQ1844025705
- [画布快捷键](docs2/canvas-shortcuts.md)
- [待办事项](docs2/todo.md)
- [后端数据库说明](docs2/backend-database.md)
- [系统配置数据结构](docs2/system-settings.md)
- [接口响应约定](docs2/api-response.md)
## 赞助支持 ## 赞助支持
<div align="center"> 本项目长期开放广告赞助合作,欢迎品牌 / 产品投放,你的支持是持续更新的动力!
如果这个项目对你有帮助,欢迎通过爱发电赞助支持,你的每一份鼓励都是持续更新的动力! 有广告赞助意向请通过上方联系方式沟通。
<br>
<a href="https://ifdian.net/a/basketikun">
<img src="https://img.shields.io/badge/%E7%88%B1%E5%8F%91%E7%94%B5-%E8%B5%9E%E5%8A%A9%E4%BD%9C%E8%80%85-946ce6?style=for-the-badge&logo=data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgZmlsbD0id2hpdGUiPjxwYXRoIGQ9Ik0xMiAyMS4zNWwtMS40NS0xLjMyQzUuNCAxNS4zNiAyIDEyLjI4IDIgOC41IDIgNS40MiA0LjQyIDMgNy41IDNjMS43NCAwIDMuNDEuODEgNC41IDIuMDlDMTMuMDkgMy44MSAxNC43NiAzIDE2LjUgMyAxOS41OCAzIDIyIDUuNDIgMjIgOC41YzAgMy43OC0zLjQgNi44Ni04LjU1IDExLjU0TDEyIDIxLjM1eiIvPjwvc3ZnPg==&logoColor=white" alt="爱发电赞助" />
</a>
<br>
<br>
</div>
## 社区支持 ## 社区支持
+80
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@@ -0,0 +1,80 @@
# Security Policy
## Supported Versions
infinite-canvas is in active development. Security fixes are accepted for the
`main` branch and the latest tagged release. Older versions may be handled on a
best-effort basis.
## Reporting a Vulnerability
Please do not open a public issue with exploit details, credentials, private
API keys, proof-of-concept code, or screenshots that reveal sensitive data.
Preferred reporting channels:
1. Use GitHub private vulnerability reporting or a GitHub Security Advisory for
this repository, if available.
2. If a private GitHub report is not available, email `1844025705@qq.com` with
the subject `[infinite-canvas security]`.
3. If neither private channel is available, open a public issue that asks for a
private contact channel and does not include technical exploit details.
Please include:
- Affected version, commit, branch, or deployment mode.
- Clear reproduction steps.
- Impact and attack scenario.
- Any relevant logs, screenshots, or proof of concept, with secrets removed.
- Whether the issue affects local-only usage, hosted deployments, browser
storage, WebDAV sync, AI provider configuration, or API proxy behavior.
## Scope
### Canvas node plugins
The canvas supports third-party node plugins loaded from a remote URL. By
design, an installed plugin's code runs directly inside the web app with full
access to the page, including locally stored data such as AI API keys. This is
an intentional trade-off for extensibility, and the installer shows a warning
before installing. Therefore:
- Only install plugins from sources you trust.
- Reports that a *malicious plugin* can access page data or API keys are **out
of scope** — that is the documented behavior of the trust model.
- Reports **in scope** include: the app loading/executing plugin code without
the install confirmation, a plugin escaping its declared node type to break
core app integrity in ways not implied by "runs in the page", or the plugin
source cache being writable by an unrelated origin.
Examples of in-scope reports:
- Cross-site scripting or token exfiltration in the web app.
- Exposure of locally stored API keys or synced canvas data caused by project
code.
- Unsafe file handling, import/export behavior, or WebDAV proxy behavior.
- Authentication, authorization, or access-control flaws in project-managed
features.
- Supply-chain issues that are exploitable through this repository's shipped
code or default configuration.
Examples that are usually out of scope:
- Vulnerabilities in third-party AI providers, model APIs, hosting platforms,
or browser extensions outside this repository.
- Compromise of a user's own API key outside the app.
- Denial-of-service reports that require unrealistic traffic volume or physical
access to the user's device.
- Missing security headers without a demonstrated exploit path.
- Social engineering, phishing, spam, or account recovery requests.
- Dependency reports without a practical impact on this project.
## Disclosure
The maintainers aim to acknowledge valid reports within 7 days and coordinate a
fix before public disclosure. Response and fix timelines are best effort for
this community project.
Please allow time for investigation and remediation before publishing details.
Credit will be given on request unless you prefer to remain anonymous.
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v0.2.5 v0.9.0
+2
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dist
node_modules
+149
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# Infinite Canvas Agent
本地 Canvas Agent 用来连接画布网页和用户电脑上的 Codex / Claude Code。本地开发时优先连接 `http://localhost:3000`,不需要先使用线上站点。
## 启动
```bash
npx -y @basketikun/canvas-agent
```
本仓库开发时也可以直接运行:
```bash
cd canvas-agent
npm install
npm run build
node dist/index.js
```
启动后会输出本机地址和 token
```txt
Local URL: http://127.0.0.1:17371
Connect token: xxxxxx
```
在画布右上角点击 `Agent`,填入地址和 token 后连接。
Codex app 插件会读取启动输出里的 Local URL 和 Connect token,并直接打开画布网页地址;Canvas Agent 不负责生成画布打开 URL。
Canvas Agent 默认只监听 `127.0.0.1`。网页第一次带正确 token 连接后,Canvas Agent 会记录该网页 Origin;之后其他 Origin 不能复用这个本地 Agent,除非用户清理 `~/.infinite-canvas/canvas-agent.json` 里的 `origins`
## 发布
`canvas-agent` 使用自己的 `package.json` 版本号,不跟仓库根目录 `VERSION` 绑定。推送到 `main` 后,GitHub Actions 会检查 npm 上是否已经存在当前包版本;不存在时才发布 `@basketikun/canvas-agent`
发布前需要在 GitHub 仓库 Secrets 中配置 `NPM_TOKEN`
## Codex MCP
如果希望 Codex 终端能直接操作画布,需要先把 Canvas Agent 注册成 Codex MCP。
直接运行 `npx -y @basketikun/canvas-agent` 只启动本地 Agent 服务,不会安装 MCP,也不会增加 Codex 工具上下文。只有安装 Codex app 插件,或手动执行 `codex mcp add` 后,`infinite-canvas` 工具才会进入 Codex 上下文;由于工具较多,不使用时建议移除。
通过插件安装时移除插件:
```bash
codex plugin remove infinite-canvas
```
手动添加 MCP 时移除 MCP
```bash
codex mcp remove infinite-canvas
```
### Codex app 插件
仓库内提供了 Codex app 插件:`plugins/infinite-canvas`。在 Codex app 中添加本仓库的 marketplace 后,可以安装 `Infinite Canvas` 插件;插件会注册同一个 `infinite-canvas` MCP,并带上画布操作说明。
添加本地 marketplace 时建议使用仓库绝对路径,避免 Codex 从其他工作目录解析失败:
```bash
cd /path/to/infinite-canvas
codex plugin marketplace add "$(pwd)"
codex plugin add infinite-canvas@infinite-canvas-local
```
插件默认通过 npm 启动 MCP;这个命令只提供 MCP 工具,不会把 MCP 写入全局配置,也不会在退出时自动卸载:
```bash
npx -y @basketikun/canvas-agent mcp
```
使用时可以直接在 Codex 里说“打开 Infinite Canvas”,插件会启动本地 Agent,读取 Local URL 和 Connect token,然后在右侧打开 `https://canvas.best/` 并自动新建、连接画布;只有明确要求使用本地项目时才会启动本地前端。
Canvas Agent 启动后,给 Codex 添加 MCP
```bash
codex mcp add infinite-canvas -- npx -y @basketikun/canvas-agent mcp
```
本仓库开发时可以改成,实际使用建议替换为本机绝对路径:
```bash
codex mcp add infinite-canvas -- node /path/to/infinite-canvas/canvas-agent/dist/index.js mcp
```
Canvas Agent 源码使用 TypeScript 编写,MCP 协议层使用官方 `@modelcontextprotocol/sdk`,工具入参使用 `zod` 描述。
如果希望终端里的 Codex 不被 MCP 审批卡住,可以在 `~/.codex/config.toml` 里给这个 MCP 设置自动放行:
```toml
[mcp_servers.infinite-canvas]
command = "npx"
args = ["-y", "@basketikun/canvas-agent", "mcp"]
default_tools_approval_mode = "approve"
```
可用工具:
- `canvas_get_state`
- `canvas_get_selection`
- `canvas_export_snapshot`
- `canvas_apply_ops`
- `canvas_create_text_node`
- `canvas_create_image_prompt_flow`
`canvas_apply_ops` 示例:
```json
{
"ops": [
{
"type": "add_node",
"nodeType": "text",
"title": "标题",
"position": { "x": 0, "y": 0 },
"metadata": { "content": "文本内容" }
}
]
}
```
## 侧边栏 Codex
本地面板会把提示词发送给 Canvas Agent。Canvas Agent 使用官方 `@openai/codex` CLI 的 `codex app-server --stdio` 启动并复用同一个 Codex thread,启动时会注入 `infinite-canvas` MCP 配置并自动放行 MCP 审批,真正执行画布修改前仍由网页侧边栏二次确认。
侧边栏会展示 Codex 返回的 `thread.started``turn.started``item.*``turn.completed` 等结构化事件;收到 app-server 的 `item/agentMessage/delta` 时,Canvas Agent 会转成 `item.updated`,网页会用同一条消息做真实流式更新,并把工具细节收进运行日志。
侧边栏上传或粘贴的图片会先发到本机 Canvas Agent,再由 Canvas Agent 临时写入本机文件并作为 app-server `localImage` 输入传给 Codex;前端会提示附件体积,单次请求体限制为 30MB。
## Claude Code
Claude Code Adapter 代码暂时保留,但当前网页侧边栏只开放 Codex。后续开放 Claude 入口时,Canvas Agent 会调用本机 `claude -p --output-format stream-json` 并把流式 JSON 事件转发到侧边栏。
如果希望 Claude Code 也能操作画布,需要给 Claude Code 添加同一个 MCP。建议用 user scope,避免 Canvas Agent 从不同目录启动时找不到配置:
```bash
claude mcp add --scope user --transport stdio infinite-canvas -- npx -y @basketikun/canvas-agent mcp
```
本仓库开发时可以改成:
```bash
claude mcp add --scope user --transport stdio infinite-canvas -- node /path/to/infinite-canvas/canvas-agent/dist/index.js mcp
```
Canvas Agent 调用 Claude Code 时会默认带上 `--allowedTools mcp__infinite-canvas__*`,画布写操作仍由网页侧边栏确认。
+302
View File
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}
}
+39
View File
@@ -0,0 +1,39 @@
{
"name": "@basketikun/canvas-agent",
"version": "0.2.0",
"type": "module",
"main": "./dist/index.js",
"types": "./dist/index.d.ts",
"bin": {
"canvas-agent": "./dist/index.js"
},
"files": [
"dist",
"README.md"
],
"scripts": {
"dev": "tsx src/index.ts",
"test": "tsx --test src/canvas-session.test.ts",
"build": "tsc -p tsconfig.json",
"start": "node dist/index.js",
"prepack": "npm run build"
},
"dependencies": {
"@modelcontextprotocol/sdk": "^1.12.1",
"@openai/codex": "^0.139.0",
"express": "^5.1.0",
"zod": "^3.25.0"
},
"devDependencies": {
"@types/express": "^5.0.0",
"@types/node": "^22.0.0",
"tsx": "^4.19.0",
"typescript": "^5.8.0"
},
"engines": {
"node": ">=18"
},
"publishConfig": {
"access": "public"
}
}
+549
View File
@@ -0,0 +1,549 @@
import { spawn, type ChildProcess, type StdioOptions } from "node:child_process";
import fs from "node:fs/promises";
import os from "node:os";
import path from "node:path";
import { createRequire } from "node:module";
import { fileURLToPath } from "node:url";
import { AGENT_PROMPT, VERSION } from "./config.js";
import type { AgentAttachment, AgentEmit } from "./types.js";
type Json = Record<string, unknown>;
type AgentEvent = Json & { type: string; usage?: unknown };
type PendingRequest = { resolve: (value: unknown) => void; reject: (error: Error) => void };
type CodexRunOptions = { threadId?: string; cwd?: string; appEmit?: AgentEmit; onStart?: () => void; onThread?: (threadId: string) => void; onTurn?: (turnId: string) => void; onFinish?: () => void };
type AgentHistoryMessage = { id: string; role: "user" | "assistant" | "tool" | "error"; title?: string; text: string; detail?: unknown; streamId?: string };
let codexQueue: Promise<unknown> = Promise.resolve();
let codexApp: CodexAppClient | null = null;
let codexAppStart: Promise<CodexAppClient> | null = null;
let codexThreadId = "";
const canvasAgentMcp = canvasAgentMcpCommand();
const require = createRequire(import.meta.url);
export function withAgentPrompt(prompt: string) {
return prompt.trim() ? `${AGENT_PROMPT}\n\n用户请求:${prompt}` : "";
}
export async function runCodexTurn(prompt: string, emit: AgentEmit, attachments: AgentAttachment[] = [], options: CodexRunOptions = {}) {
if (!prompt.trim()) return;
codexQueue = codexQueue.catch(() => undefined).then(() => runCodexTurnNow(prompt, emit, attachments, options));
await codexQueue;
}
export function interruptCodexTurn(threadId?: string) {
if (!codexApp || (threadId && threadId !== codexThreadId)) return false;
return codexApp.interruptCurrentTurn();
}
async function runCodexTurnNow(prompt: string, emit: AgentEmit, attachments: AgentAttachment[], options: CodexRunOptions) {
let files: string[] = [];
try {
options.onStart?.();
files = await writeAttachmentFiles(attachments);
const app = await getCodexApp(options.appEmit || emit);
let threadId = await ensureCodexThread(app, options, emit);
options.onThread?.(threadId);
try {
await app.startTurn(threadId, prompt, files, options.onTurn);
} catch (error) {
if (!isRecoverableThreadError(error)) throw error;
emit("agent_log", { text: `Codex thread unavailable, starting a new thread: ${errorMessage(error)}` });
codexThreadId = "";
threadId = await ensureCodexThread(app, { cwd: options.cwd }, emit);
options.onThread?.(threadId);
await app.startTurn(threadId, prompt, files, options.onTurn);
}
} catch (error) {
emit("agent_error", { message: errorMessage(error) });
} finally {
options.onFinish?.();
await Promise.all(files.map((file) => fs.unlink(file).catch(() => undefined)));
}
}
export async function startCodexThread(emit: AgentEmit, cwd?: string) {
const app = await getCodexApp(emit);
const thread = await app.startThread(cwd);
codexThreadId = String(field(thread, "id") || "");
return thread;
}
export async function resumeCodexThread(emit: AgentEmit, threadId: string, cwd?: string) {
const app = await getCodexApp(emit);
await loadCodexThread(emit, threadId, cwd, false);
const thread = await app.resumeThread(threadId, cwd);
assertThreadWorkspace(thread, cwd);
codexThreadId = String(field(thread, "id") || threadId);
return { thread, messages: threadMessages(thread) };
}
export async function listCodexThreads(emit: AgentEmit, options: { cwd: string; searchTerm?: string; limit?: number }) {
const app = await getCodexApp(emit);
const result = await app.listThreads({
limit: options.limit || 40,
sortKey: "updated_at",
sortDirection: "desc",
sourceKinds: ["cli", "vscode", "appServer", "exec"],
cwd: options.cwd,
...(options.searchTerm ? { searchTerm: options.searchTerm } : {}),
});
const data = Array.isArray(field(result, "data")) ? (field(result, "data") as unknown[]).map(summarizeCodexThread).filter((thread) => threadInWorkspace(thread, options.cwd)) : [];
return { data, nextCursor: field(result, "nextCursor") || null, backwardsCursor: field(result, "backwardsCursor") || null };
}
export async function readCodexThread(emit: AgentEmit, threadId: string, cwd?: string) {
const thread = await loadCodexThread(emit, threadId, cwd, true);
return { thread: summarizeCodexThread(thread), messages: threadMessages(thread) };
}
export async function verifyCodexThreadWorkspace(emit: AgentEmit, threadId: string, cwd: string) {
await loadCodexThread(emit, threadId, cwd, false);
}
export async function archiveCodexThread(emit: AgentEmit, threadId: string, cwd?: string) {
const app = await getCodexApp(emit);
await loadCodexThread(emit, threadId, cwd, false);
await app.archiveThread(threadId);
}
export function runClaudeTurn(prompt: string, emit: AgentEmit) {
if (!prompt.trim()) return;
const child = spawnAgent("claude", ["-p", "--output-format", "stream-json", "--verbose", "--include-partial-messages", "--allowedTools", "mcp__infinite-canvas__*", prompt], ["ignore", "pipe", "pipe"], emit);
if (!child) return;
pipeJsonLines(child, emit, "claude");
}
async function ensureCodexThread(app: CodexAppClient, options: CodexRunOptions, emit: AgentEmit) {
if (options.threadId) {
if (options.threadId === codexThreadId) return codexThreadId;
try {
const result = await app.readThread(options.threadId, false);
assertThreadWorkspace(field(result, "thread") || {}, options.cwd);
const thread = await app.resumeThread(options.threadId, options.cwd);
assertThreadWorkspace(thread, options.cwd);
codexThreadId = String(field(thread, "id") || options.threadId);
return codexThreadId;
} catch (error) {
if (!isRecoverableThreadError(error)) throw error;
emit("agent_log", { text: `Codex thread unavailable, starting a new thread: ${errorMessage(error)}` });
}
}
if (!codexThreadId) {
const thread = await app.startThread(options.cwd);
codexThreadId = String(field(thread, "id") || "");
}
return codexThreadId;
}
export function isRecoverableThreadError(error: unknown) {
return /thread not loaded|no rollout found/i.test(errorMessage(error));
}
class CodexAppClient {
private nextId = 1;
private buffer = "";
private textByItem = new Map<string, string>();
private deltaCount = 0;
private lastUsage: unknown = null;
private pending = new Map<number, PendingRequest>();
private activeTurns = new Map<string, PendingRequest>();
private completedTurns = new Map<string, Error | null>();
private constructor(private child: ChildProcess, private emit: AgentEmit) {}
static async start(emit: AgentEmit) {
const child = spawn(process.execPath, [codexBin(), "app-server", "--stdio"], { stdio: ["pipe", "pipe", "pipe"], windowsHide: true });
const client = new CodexAppClient(child, emit);
child.stdout?.on("data", (chunk) => client.read(chunk.toString()));
child.stderr?.on("data", (chunk) => emit("agent_log", { text: chunk.toString() }));
child.on("error", (error) => emit("agent_error", { message: error.message }));
child.on("exit", (code) => {
client.failAll(`Codex app-server exited: ${code ?? 0}`);
codexApp = null;
codexThreadId = "";
emit("agent_log", { text: `Codex app-server exited: ${code ?? 0}` });
});
await client.request("initialize", { clientInfo: { name: "canvas-agent", title: "Infinite Canvas Agent", version: VERSION }, capabilities: { experimentalApi: true, requestAttestation: false } });
client.notify("initialized");
return client;
}
async startThread(cwd?: string) {
const result = await this.request("thread/start", { approvalPolicy: "never", sandbox: "workspace-write", config: codexConfig(), ...(cwd ? { cwd } : {}), threadSource: "user" });
const thread = field(result, "thread") as Json | undefined;
const id = String(field(thread, "id") || "");
if (!id) throw new Error("Codex app-server 没有返回 thread id");
return thread || {};
}
async resumeThread(threadId: string, cwd?: string) {
const result = await this.request("thread/resume", { threadId, approvalPolicy: "never", sandbox: "workspace-write", config: codexConfig(), ...(cwd ? { cwd } : {}) });
const thread = field(result, "thread") as Json | undefined;
const id = String(field(thread, "id") || "");
if (!id) throw new Error("Codex app-server 没有返回 thread id");
return thread || {};
}
listThreads(params: Json) {
return this.request("thread/list", params);
}
readThread(threadId: string, includeTurns = true) {
return this.request("thread/read", { threadId, includeTurns });
}
archiveThread(threadId: string) {
return this.request("thread/archive", { threadId });
}
async startTurn(threadId: string, prompt: string, images: string[], onTurn?: (turnId: string) => void) {
const result = await this.request("turn/start", { threadId, input: codexInput(prompt, images), approvalPolicy: "never" });
const turnId = String(field(field(result, "turn"), "id") || "");
if (!turnId) throw new Error("Codex app-server 没有返回 turn id");
onTurn?.(turnId);
const completed = this.completedTurns.get(turnId);
if (this.completedTurns.has(turnId)) {
this.completedTurns.delete(turnId);
if (completed) throw completed;
return;
}
await new Promise((resolve, reject) => this.activeTurns.set(turnId, { resolve, reject }));
}
interruptCurrentTurn() {
if (this.activeTurns.size === 0) return false;
try {
this.child.kill("SIGINT");
return true;
} catch {
return false;
}
}
private request(method: string, params: unknown) {
const id = this.nextId++;
this.write({ id, method, params });
return new Promise((resolve, reject) => this.pending.set(id, { resolve, reject }));
}
private notify(method: string, params?: unknown) {
this.write(params === undefined ? { method } : { method, params });
}
private write(value: unknown) {
this.child.stdin?.write(`${JSON.stringify(value)}\n`);
}
private read(chunk: string) {
this.buffer += chunk;
const lines = this.buffer.split(/\r?\n/);
this.buffer = lines.pop() || "";
lines.filter(Boolean).forEach((line) => {
try {
this.handle(JSON.parse(line) as Json);
} catch {
this.emit("agent_log", { text: line });
}
});
}
private handle(message: Json) {
const id = Number(message.id);
if (message.error && this.pending.has(id)) return this.reject(id, String(field(message.error, "message") || "Codex request failed"));
if (this.pending.has(id)) return this.resolve(id, message.result);
if (typeof message.method === "string" && "id" in message) return this.answerServerRequest(message);
if (typeof message.method === "string") this.handleNotification(message.method, (message.params || {}) as Json);
}
private handleNotification(method: string, params: Json) {
if (method === "item/agentMessage/delta") return this.emitDelta(params);
if (method === "thread/tokenUsage/updated") this.lastUsage = normalizeUsage(params);
const event = normalizeCodexNotification(method, params);
if (!event) return;
if (event.type === "turn.completed") event.usage = this.lastUsage;
this.emit("agent_event", { agent: "codex", ...event });
if (event.type === "turn.completed") {
const turnId = String(field(params, "turnId") || field(field(params, "turn"), "id") || "");
const pending = this.activeTurns.get(turnId);
const error = field(field(params, "turn"), "error");
if (pending) {
this.activeTurns.delete(turnId);
error ? pending.reject(new Error(String(field(error, "message") || "Codex turn failed"))) : pending.resolve(event);
} else if (turnId) {
this.completedTurns.set(turnId, error ? new Error(String(field(error, "message") || "Codex turn failed")) : null);
}
this.emit("agent_event", { agent: "codex", type: "stream.summary", delta_count: this.deltaCount, ...codexEventScope(params) });
this.deltaCount = 0;
this.emit("agent_done", { agent: "codex", usage: event.usage, ...codexEventScope(params) });
}
}
private emitDelta(params: Json) {
const id = String(field(params, "itemId") || "");
const text = `${this.textByItem.get(id) || ""}${String(field(params, "delta") || "")}`;
this.deltaCount += 1;
this.textByItem.set(id, text);
this.emit("agent_event", { agent: "codex", type: "item.updated", item: { id, type: "agent_message", text }, ...codexEventScope(params) });
}
private answerServerRequest(message: Json) {
const method = String(message.method);
const result = method === "mcpServer/elicitation/request" ? { action: "accept", content: {}, _meta: null } : { decision: "decline" };
this.write({ id: message.id, result });
this.emit("agent_event", { agent: "codex", type: "server.request", method, params: message.params, result });
}
private resolve(id: number, result: unknown) {
const pending = this.pending.get(id);
if (pending) (this.pending.delete(id), pending.resolve(result));
}
private reject(id: number, message: string) {
const pending = this.pending.get(id);
if (pending) (this.pending.delete(id), pending.reject(new Error(message)));
}
failAll(message: string) {
[...this.pending.values(), ...this.activeTurns.values()].forEach((item) => item.reject(new Error(message)));
this.pending.clear();
this.activeTurns.clear();
}
}
function canvasAgentMcpCommand() {
const current = process.argv.find((arg) => /index\.(t|j)s$/.test(arg)) || "";
const entry = path.resolve(current || fileURLToPath(new URL("./index.js", import.meta.url)));
const tsx = path.join(path.dirname(entry), "..", "node_modules", "tsx", "dist", "cli.mjs");
return entry.endsWith(".ts") ? { command: process.execPath, args: [tsx, entry, "mcp"] } : { command: process.execPath, args: [entry, "mcp"] };
}
function codexConfig() {
return { mcp_servers: { "infinite-canvas": { command: canvasAgentMcp.command, args: canvasAgentMcp.args, default_tools_approval_mode: "approve", startup_timeout_sec: 20, tool_timeout_sec: 90 } } };
}
function codexInput(prompt: string, images: string[]) {
return [{ type: "text", text: prompt, text_elements: [] }, ...images.map((file) => ({ type: "localImage", path: file }))];
}
function normalizeCodexNotification(method: string, params: Json): AgentEvent | null {
const scope = codexEventScope(params);
if (method === "thread/started") return { type: "thread.started", ...scope };
if (method === "turn/started") return { type: "turn.started", ...scope };
if (method === "turn/completed") return { type: "turn.completed", usage: null, ...scope };
if (method === "item/started") return { type: "item.started", item: normalizeItem(field(params, "item")), ...scope };
if (method === "item/completed") return { type: "item.completed", item: normalizeItem(field(params, "item")), ...scope };
if (method === "error") return { type: "error", message: field(params, "message"), ...scope };
return null;
}
function codexEventScope(params: Json) {
const threadId = String(field(params, "threadId") || field(field(params, "thread"), "id") || "");
const turnId = String(field(params, "turnId") || field(field(params, "turn"), "id") || "");
return { ...(threadId ? { thread_id: threadId } : {}), ...(turnId ? { turn_id: turnId } : {}) };
}
async function loadCodexThread(emit: AgentEmit, threadId: string, cwd: string | undefined, includeTurns: boolean) {
const app = await getCodexApp(emit);
const result = await app.readThread(threadId, includeTurns);
const thread = field(result, "thread") || {};
assertThreadWorkspace(thread, cwd);
return thread;
}
async function getCodexApp(emit: AgentEmit) {
if (codexApp) return codexApp;
codexAppStart ||= CodexAppClient.start(emit);
try {
codexApp = await codexAppStart;
return codexApp;
} finally {
codexAppStart = null;
}
}
function assertThreadWorkspace(thread: unknown, cwd?: string) {
if (!cwd || threadInWorkspace(thread, cwd)) return;
throw new Error("该 Codex 会话不属于当前画布工作空间");
}
function threadInWorkspace(thread: unknown, cwd: string) {
const threadCwd = String(field(thread, "cwd") || "");
return Boolean(threadCwd && path.resolve(threadCwd) === path.resolve(cwd));
}
function normalizeItem(item: unknown) {
const value = item && typeof item === "object" ? { ...(item as Json) } : {};
if (value.type === "agentMessage") value.type = "agent_message";
if (value.type === "mcpToolCall") value.type = "mcp_tool_call";
if (value.type === "agent_message" && typeof value.id === "string") value.text = String(value.text || "");
if ("arguments" in value) value.arguments = parseMaybeJson(value.arguments);
return value;
}
function normalizeUsage(params: Json) {
const total = field(field(params, "tokenUsage"), "total") as Json | undefined;
return {
input_tokens: field(total, "inputTokens"),
cached_input_tokens: field(total, "cachedInputTokens"),
output_tokens: field(total, "outputTokens"),
reasoning_output_tokens: field(total, "reasoningOutputTokens"),
};
}
function parseMaybeJson(value: unknown) {
if (typeof value !== "string") return value;
try {
return JSON.parse(value);
} catch {
return value;
}
}
function field(value: unknown, key: string) {
return value && typeof value === "object" ? (value as Json)[key] : undefined;
}
export function summarizeCodexThread(thread: unknown) {
return {
id: String(field(thread, "id") || ""),
sessionId: String(field(thread, "sessionId") || ""),
preview: displayUserText(String(field(thread, "preview") || "")),
name: stringOrNull(field(thread, "name")),
cwd: String(field(thread, "cwd") || ""),
status: String(field(thread, "status") || ""),
source: field(thread, "source"),
threadSource: field(thread, "threadSource"),
createdAt: Number(field(thread, "createdAt") || 0),
updatedAt: Number(field(thread, "updatedAt") || 0),
};
}
function threadMessages(thread: unknown): AgentHistoryMessage[] {
const turns = arrayValue(field(thread, "turns"));
const messages: AgentHistoryMessage[] = [];
turns.forEach((turn, turnIndex) => {
arrayValue(field(turn, "items")).forEach((item, itemIndex) => {
const type = String(field(item, "type") || "");
const id = String(field(item, "id") || `${turnIndex}-${itemIndex}`);
if (type === "userMessage") {
const text = displayUserText(userInputText(field(item, "content")));
if (text) messages.push({ id, role: "user", text });
}
if (type === "agentMessage") {
const text = String(field(item, "text") || "").trim();
if (text) messages.push({ id, role: "assistant", title: "Codex", text, streamId: id });
}
if (type === "mcpToolCall") {
const tool = String(field(item, "tool") || "工具调用");
const error = field(field(item, "error"), "message");
messages.push({ id, role: error ? "error" : "tool", title: toolName(tool), text: error ? String(error) : `${toolName(tool)} ${String(field(item, "status") || "完成")}`, detail: item });
}
if (type === "commandExecution") {
const command = String(field(item, "command") || "").trim();
if (command) messages.push({ id, role: "tool", title: "命令", text: command, detail: { cwd: field(item, "cwd"), status: field(item, "status"), exitCode: field(item, "exitCode") } });
}
if (type === "fileChange") messages.push({ id, role: "tool", title: "文件变更", text: "Codex 修改了文件", detail: item });
});
});
return messages.filter((item) => item.text).slice(-120);
}
function userInputText(content: unknown) {
return arrayValue(content)
.map((item) => {
const type = String(field(item, "type") || "");
if (type === "text") return String(field(item, "text") || "");
if (type === "image" || type === "localImage") return "图片附件";
if (type === "mention") return `@${String(field(item, "name") || "文件")}`;
return "";
})
.filter(Boolean)
.join("\n");
}
function displayUserText(text: string) {
const value = text.trim();
const marker = "用户请求:";
const index = value.lastIndexOf(marker);
return (index >= 0 ? value.slice(index + marker.length) : value).trim();
}
function arrayValue(value: unknown) {
return Array.isArray(value) ? value : [];
}
function stringOrNull(value: unknown) {
return typeof value === "string" && value.trim() ? value : null;
}
function toolName(name: string) {
if (name === "canvas_apply_ops") return "画布操作";
if (name === "canvas_get_state") return "读取画布";
if (name === "canvas_get_selection") return "读取选区";
if (name === "canvas_export_snapshot") return "导出快照";
if (name === "canvas_create_attachment_nodes") return "添加附件图片";
if (name === "canvas_create_text_node") return "创建文本";
if (name === "canvas_create_image_prompt_flow") return "创建生图流程";
if (name === "canvas_create_generation_flow") return "创建生成流程";
if (name === "canvas_generate_text") return "生成文本";
if (name === "canvas_generate_image") return "生成图片";
if (name === "canvas_generate_video") return "生成视频";
if (name === "canvas_generate_audio") return "生成音频";
if (name === "canvas_run_generation") return "触发生成";
return name;
}
async function writeAttachmentFiles(attachments: AgentAttachment[]) {
return await Promise.all(attachments.filter((item) => item.dataUrl?.startsWith("data:image/")).map(writeAttachmentFile));
}
async function writeAttachmentFile(item: AgentAttachment) {
const [, meta = "", data = ""] = item.dataUrl?.match(/^data:([^;]+);base64,(.+)$/) || [];
if (!data) throw new Error(`图片附件无效:${item.name || "未命名图片"}`);
const file = path.join(os.tmpdir(), `infinite-canvas-${Date.now()}-${Math.random().toString(16).slice(2)}.${imageExt(meta || item.type)}`);
await fs.writeFile(file, Buffer.from(data, "base64"));
return file;
}
function imageExt(type = "") {
if (type.includes("png")) return "png";
if (type.includes("webp")) return "webp";
return "jpg";
}
function codexBin() {
return path.join(path.dirname(require.resolve("@openai/codex/package.json")), "bin", "codex.js");
}
function pipeJsonLines(child: ReturnType<typeof spawn>, emit: AgentEmit, agent: string) {
let out = "";
child.stdout?.on("data", (chunk) => {
out += chunk.toString();
const lines = out.split(/\r?\n/);
out = lines.pop() || "";
lines.filter(Boolean).forEach((line) => {
try {
emit("agent_event", { agent, ...JSON.parse(line) });
} catch {
emit("agent_event", { agent, type: "raw", text: line });
}
});
});
child.stderr?.on("data", (chunk) => emit("agent_log", { text: chunk.toString() }));
child.on("error", (error) => emit("agent_error", { message: error.message }));
child.on("close", (code) => emit("agent_done", { agent, code }));
}
function spawnAgent(name: string, args: string[], stdio: StdioOptions, emit: AgentEmit) {
try {
return spawn(name, args, { stdio, shell: process.platform === "win32", windowsHide: true });
} catch (error) {
emit("agent_error", { message: errorMessage(error) });
return null;
}
}
function errorMessage(error: unknown) {
return error instanceof Error ? error.message : String(error);
}
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import { EventEmitter } from "node:events";
import type { ServerResponse } from "node:http";
import assert from "node:assert/strict";
import test from "node:test";
import { CanvasSession } from "./canvas-session.js";
test("MCP 读取当前激活网页的画布", async (t) => {
const session = new CanvasSession();
const first = connect(session, "first");
const second = connect(session, "second");
t.after(() => {
first.close();
second.close();
});
session.updateState(snapshot("canvas-first"), "first");
session.updateState(snapshot("canvas-second"), "second");
session.activateClient("first");
assert.equal(field(await session.callTool("canvas_get_state", {}), "projectId"), "canvas-first");
session.activateClient("second");
assert.equal(field(await session.callTool("canvas_get_state", {}), "projectId"), "canvas-second");
});
test("画布写操作只发送给当前激活网页", async (t) => {
const session = new CanvasSession();
const first = connect(session, "first");
const second = connect(session, "second");
t.after(() => {
first.close();
second.close();
});
session.updateState(snapshot("canvas-first"), "first");
session.updateState(snapshot("canvas-second"), "second");
session.activateClient("second");
const result = session.callTool("canvas_create_text_node", { text: "只写入第二个画布" });
const call = second.event("tool_call");
assert.equal(first.event("tool_call"), undefined);
assert.equal(field(call, "name"), "canvas_apply_ops");
session.resolveResult("second", { requestId: String(field(call, "requestId")), result: { ok: true } });
assert.deepEqual(await result, { ok: true });
});
test("当前 turn 的图片附件可在发起标签页画布创建图片节点", async (t) => {
const session = new CanvasSession();
const first = connect(session, "first");
t.after(() => first.close());
const dataUrl = "data:image/png;base64,aW1hZ2U=";
session.setTurnAttachments("first", [{ id: "attachment-1", name: "商品.png", type: "image/png", size: 5, width: 1200, height: 600, dataUrl }]);
session.bindClient("first");
const result = session.callTool("canvas_create_attachment_nodes", { attachmentIds: ["attachment-1"], x: 100, y: 200 });
const call = first.event("tool_call");
const input = field(call, "input") as Record<string, unknown>;
const nodes = input.nodes as Array<Record<string, unknown>>;
assert.equal(field(call, "name"), "canvas_create_attachment_nodes");
assert.equal(nodes.length, 1);
assert.equal(nodes[0].attachmentId, "attachment-1");
assert.equal(nodes[0].title, "商品.png");
assert.deepEqual(nodes[0].position, { x: 100, y: 200 });
assert.equal(nodes[0].width, 640);
assert.equal(nodes[0].height, 320);
assert.equal("dataUrl" in nodes[0], false);
assert.equal(session.getTurnAttachment("first", "attachment-1").dataUrl, dataUrl);
session.resolveResult("first", { requestId: String(field(call, "requestId")), result: { ok: true } });
const created = (await result) as { nodes: Array<{ id: string; attachmentId: string; title: string }> };
assert.equal(created.nodes[0].id, nodes[0].id);
assert.equal(created.nodes[0].attachmentId, "attachment-1");
session.clearTurnAttachments("first");
assert.throws(() => session.getTurnAttachment("first", "attachment-1"), /找不到/);
});
test("图片附件只允许发起 turn 的标签页读取和落入画布", async (t) => {
const session = new CanvasSession();
const first = connect(session, "first");
const second = connect(session, "second");
t.after(() => {
first.close();
second.close();
});
session.setTurnAttachments("first", [{ id: "attachment-1", name: "商品.png", type: "image/png", dataUrl: "data:image/png;base64,aW1hZ2U=" }]);
session.bindClient("second");
await assert.rejects(session.callTool("canvas_create_attachment_nodes", { attachmentIds: ["attachment-1"] }), /发起标签页/);
assert.throws(() => session.getTurnAttachment("second", "attachment-1"), /发起标签页/);
assert.equal(first.event("tool_call"), undefined);
assert.equal(second.event("tool_call"), undefined);
});
test("tool result is accepted only from the request client", async (t) => {
const session = new CanvasSession();
const first = connect(session, "first");
const second = connect(session, "second");
t.after(() => {
first.close();
second.close();
});
session.activateClient("first");
const result = session.callTool("canvas_create_text_node", { text: "first only" });
const call = first.event("tool_call");
const requestId = String(field(call, "requestId"));
assert.equal(session.resolveResult("second", { requestId, result: { client: "second" } }), false);
assert.equal(session.resolveResult("first", { requestId, result: { client: "first" } }), true);
assert.deepEqual(await result, { client: "first" });
});
test("生成状态查询由当前激活网页返回", async (t) => {
const session = new CanvasSession();
const first = connect(session, "first");
const second = connect(session, "second");
t.after(() => {
first.close();
second.close();
});
session.activateClient("second");
const result = session.callTool("generation_get_status", { scope: "all" });
const call = second.event("tool_call");
assert.equal(first.event("tool_call"), undefined);
assert.equal(field(call, "name"), "generation_get_status");
session.resolveResult("second", { requestId: String(field(call, "requestId")), result: { total: 1, tasks: [{ id: "image-1", status: "running" }] } });
assert.deepEqual(await result, { total: 1, tasks: [{ id: "image-1", status: "running" }] });
});
test("活动网页关闭后回退到仍连接的画布", async (t) => {
const session = new CanvasSession();
const first = connect(session, "first");
const second = connect(session, "second");
t.after(() => {
first.close();
second.close();
});
session.updateState(snapshot("canvas-first"), "first");
session.updateState(snapshot("canvas-second"), "second");
session.activateClient("second");
second.close();
assert.equal(field(await session.callTool("canvas_get_state", {}), "projectId"), "canvas-first");
});
test("closing the active client falls back to the most recently focused client", async (t) => {
const session = new CanvasSession();
const first = connect(session, "first");
const second = connect(session, "second");
const third = connect(session, "third");
t.after(() => {
first.close();
second.close();
third.close();
});
session.updateState(snapshot("canvas-first"), "first");
session.updateState(snapshot("canvas-second"), "second");
session.updateState(snapshot("canvas-third"), "third");
session.activateClient("third");
session.activateClient("second");
second.close();
assert.equal(field(await session.callTool("canvas_get_state", {}), "projectId"), "canvas-third");
});
test("closing a client rejects its pending tool requests", async () => {
const session = new CanvasSession();
const first = connect(session, "first");
const result = session.callTool("canvas_create_text_node", { text: "pending" });
const call = first.event("tool_call");
const requestId = String(field(call, "requestId"));
first.close();
const outcome = await Promise.race([
result.then(() => "resolved", (error) => error instanceof Error ? error.message : String(error)),
new Promise<string>((resolve) => setTimeout(() => resolve("pending"), 20)),
]);
if (outcome === "pending") session.resolveResult("first", { requestId, result: null });
assert.match(outcome, /断开/);
});
test("shared thread events are broadcast with the active thread id", (t) => {
const session = new CanvasSession();
const first = connect(session, "first");
const second = connect(session, "second");
t.after(() => {
first.close();
second.close();
});
session.emitThread("workspace_changed", "thread-2", { activeThreadId: "thread-2" });
assert.deepEqual(first.event("workspace_changed"), { activeThreadId: "thread-2", threadId: "thread-2" });
assert.deepEqual(second.event("workspace_changed"), { activeThreadId: "thread-2", threadId: "thread-2" });
});
test("new clients receive the current Codex state and later updates", (t) => {
const session = new CanvasSession();
session.setCodexState({ busy: true, threadId: "thread-2", turnId: "turn-1" });
const client = connect(session, "first");
t.after(() => client.close());
assert.deepEqual(field(client.event("hello"), "codex"), { busy: true, threadId: "thread-2", turnId: "turn-1" });
session.setCodexState({ busy: false });
assert.deepEqual(client.event("codex_state"), { busy: false, threadId: "thread-2", turnId: "turn-1" });
});
test("a bound client remains the tool target while focus changes", async (t) => {
const session = new CanvasSession();
const first = connect(session, "first");
const second = connect(session, "second");
t.after(() => {
first.close();
second.close();
});
session.updateState(snapshot("canvas-first"), "first");
session.updateState(snapshot("canvas-second"), "second");
session.bindClient("first");
session.activateClient("second");
assert.equal(field(await session.callTool("canvas_get_state", {}), "projectId"), "canvas-first");
const result = session.callTool("canvas_create_text_node", { text: "bound" });
const call = first.event("tool_call");
assert.equal(second.event("tool_call"), undefined);
session.resolveResult("first", { requestId: String(field(call, "requestId")), result: { ok: true } });
assert.deepEqual(await result, { ok: true });
session.releaseClient("first");
assert.equal(field(await session.callTool("canvas_get_state", {}), "projectId"), "canvas-second");
});
test("closing the bound client falls back to the active client", async (t) => {
const session = new CanvasSession();
const first = connect(session, "first");
const second = connect(session, "second");
t.after(() => {
first.close();
second.close();
});
session.updateState(snapshot("canvas-first"), "first");
session.updateState(snapshot("canvas-second"), "second");
session.bindClient("first");
session.activateClient("second");
first.close();
assert.equal(field(await session.callTool("canvas_get_state", {}), "projectId"), "canvas-second");
const result = session.callTool("canvas_create_text_node", { text: "fallback" });
const call = second.event("tool_call");
session.resolveResult("second", { requestId: String(field(call, "requestId")), result: { ok: true } });
assert.deepEqual(await result, { ok: true });
});
function connect(session: CanvasSession, clientId: string) {
const response = new FakeSseResponse();
session.openEvents(new URL(`http://127.0.0.1/events?clientId=${clientId}`), response as unknown as ServerResponse);
return response;
}
function snapshot(projectId: string) {
return { projectId, title: projectId, nodes: [], connections: [], selectedNodeIds: [], viewport: { x: 0, y: 0, k: 1 } };
}
function field(value: unknown, key: string) {
return value && typeof value === "object" ? (value as Record<string, unknown>)[key] : undefined;
}
class FakeSseResponse extends EventEmitter {
private chunks: string[] = [];
writeHead() {
return this;
}
write(chunk: string) {
this.chunks.push(chunk);
return true;
}
event(type: string) {
const chunk = this.chunks.find((item) => item.startsWith(`event: ${type}\n`));
const data = chunk?.split("\n").find((line) => line.startsWith("data: "))?.slice(6);
return data ? (JSON.parse(data) as unknown) : undefined;
}
close() {
this.emit("close");
}
}
+400
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@@ -0,0 +1,400 @@
import crypto from "node:crypto";
import type { ServerResponse } from "node:http";
import { type ToolName } from "./schemas.js";
import { compactCanvasState, compactNode, isToolName, nextCanvasX, parseToolInput } from "./tools.js";
import type { AgentAttachment, CanvasNode, CanvasNodeType, CanvasSnapshot } from "./types.js";
type PendingRequest = { clientId: string; resolve: (value: unknown) => void; reject: (error: Error) => void };
type TurnAttachment = { clientId: string; id: string; name: string; type: string; size: number; width: number; height: number; dataUrl: string };
export type CodexState = { busy: boolean; threadId: string; turnId: string };
const SITE_TOOLS = new Set<ToolName>([
"site_navigate",
"canvas_list_projects",
"workbench_image_get_config",
"workbench_image_generate",
"workbench_video_get_config",
"workbench_video_generate",
"prompts_search",
"assets_list",
"assets_add",
"generation_get_status",
]);
export class CanvasSession {
private clients = new Map<string, ServerResponse>();
private clientFocusOrder = new Map<string, number>();
private pending = new Map<string, PendingRequest>();
private canvasStates = new Map<string, CanvasSnapshot>();
private turnAttachments = new Map<string, TurnAttachment>();
private activeClientId = "";
private boundClientId = "";
private focusSequence = 0;
private codexState: CodexState = { busy: false, threadId: "", turnId: "" };
private get canvasState() {
return this.canvasStates.get(this.targetClientId) || null;
}
private get targetClientId() {
return this.boundClientId || this.activeClientId;
}
health() {
return { ok: true, hasCanvas: Boolean(this.canvasState), clients: this.clients.size, codexBusy: this.codexState.busy };
}
get codexBusy() {
return this.codexState.busy;
}
setCodexState(patch: Partial<CodexState>) {
this.codexState = { ...this.codexState, ...patch };
this.emitAll("codex_state", this.codexState);
}
openEvents(url: URL, res: ServerResponse) {
const clientId = url.searchParams.get("clientId") || crypto.randomUUID();
const statusOnly = url.searchParams.get("role") === "status";
res.writeHead(200, { "Content-Type": "text/event-stream", "Cache-Control": "no-cache", Connection: "keep-alive" });
if (!statusOnly) {
this.clients.set(clientId, res);
if (!this.clientFocusOrder.has(clientId)) this.clientFocusOrder.set(clientId, 0);
if (!this.activeClientId) {
this.activeClientId = clientId;
this.clientFocusOrder.set(clientId, ++this.focusSequence);
}
}
sendEvent(res, "hello", { ok: true, clientId, codex: this.codexState });
const timer = setInterval(() => sendEvent(res, "ping", { time: Date.now() }), 15000);
res.on("close", () => {
clearInterval(timer);
if (statusOnly || this.clients.get(clientId) !== res) return;
this.clients.delete(clientId);
this.clientFocusOrder.delete(clientId);
this.canvasStates.delete(clientId);
if (this.boundClientId === clientId) this.boundClientId = "";
this.pending.forEach((item, requestId) => {
if (item.clientId !== clientId) return;
this.pending.delete(requestId);
item.reject(new Error("请求页面已断开"));
});
if (this.activeClientId === clientId) this.activeClientId = [...this.clients.keys()].sort((a, b) => (this.clientFocusOrder.get(b) || 0) - (this.clientFocusOrder.get(a) || 0))[0] || "";
});
}
updateState(body: unknown, clientId?: string) {
const targetClientId = clientId || this.activeClientId;
if (!targetClientId) return;
this.canvasStates.set(targetClientId, { ...((body && typeof body === "object" && !Array.isArray(body) ? body : {}) as Record<string, unknown>), clientId: targetClientId } as CanvasSnapshot);
}
activateClient(clientId: string) {
if (!this.clients.has(clientId)) throw new Error("当前网页未连接");
this.activeClientId = clientId;
this.clientFocusOrder.set(clientId, ++this.focusSequence);
}
bindClient(clientId: string) {
if (!this.clients.has(clientId)) throw new Error("当前网页未连接");
this.boundClientId = clientId;
}
releaseClient(clientId: string) {
if (this.boundClientId === clientId) this.boundClientId = "";
}
setTurnAttachments(clientId: string, attachments: AgentAttachment[]) {
this.turnAttachments.clear();
return attachments.flatMap((item, index) => {
if (!item.dataUrl?.startsWith("data:image/")) return [];
const id = item.id?.trim() || `attachment-${crypto.randomUUID()}`;
const attachment: TurnAttachment = {
clientId,
id,
name: item.name?.trim() || `图片 ${index + 1}`,
type: item.type?.startsWith("image/") ? item.type : item.dataUrl.match(/^data:([^;]+)/)?.[1] || "image/png",
size: positiveNumber(item.size, 0),
width: positiveNumber(item.width, 1024),
height: positiveNumber(item.height, 1024),
dataUrl: item.dataUrl,
};
this.turnAttachments.set(id, attachment);
return [{ id, name: attachment.name, type: attachment.type, size: attachment.size, width: attachment.width, height: attachment.height }];
});
}
clearTurnAttachments(clientId?: string) {
this.turnAttachments.forEach((item, id) => {
if (!clientId || item.clientId === clientId) this.turnAttachments.delete(id);
});
}
getTurnAttachment(clientId: string, attachmentId: string) {
const attachment = this.turnAttachments.get(attachmentId);
if (!attachment) throw new Error(`找不到本轮图片附件:${attachmentId}`);
if (attachment.clientId !== clientId) throw new Error("图片附件不属于当前 turn 的发起标签页");
return attachment;
}
resolveResult(clientId: string, body: { requestId?: string; error?: string; result?: unknown }) {
const item = body.requestId ? this.pending.get(body.requestId) : null;
if (!item || !body.requestId || item.clientId !== clientId) return false;
this.pending.delete(body.requestId);
body.error ? item.reject(new Error(body.error)) : item.resolve(body.result);
return true;
}
emitAll(type: string, payload: unknown) {
this.clients.forEach((client) => sendEvent(client, type, payload));
}
emitThread(type: string, threadId: string, payload: Record<string, unknown> = {}) {
this.emitAll(type, { ...payload, threadId });
}
async callTool(name: unknown, rawInput: unknown) {
if (!isToolName(name)) throw new Error(`未知工具:${String(name)}`);
let tool: ToolName = name;
let input = parseToolInput(tool, rawInput) as Record<string, unknown>;
if (SITE_TOOLS.has(tool)) {
if (!this.clients.size) throw new Error("当前没有已连接网页");
return await this.requestCanvasTool(tool, input);
}
const readTool = ["canvas_get_state", "canvas_get_selection", "canvas_export_snapshot"].includes(tool);
if (readTool && (!this.clients.size || !this.canvasState)) throw new Error("当前没有已连接画布");
if (tool === "canvas_get_state" || tool === "canvas_export_snapshot") return compactCanvasState(this.canvasState);
if (tool === "canvas_get_selection") {
const ids = new Set(this.canvasState?.selectedNodeIds || []);
return { nodes: (this.canvasState?.nodes || []).filter((node) => ids.has(node.id)).map(compactNode) };
}
if (tool === "canvas_create_attachment_nodes") return await this.createAttachmentNodes(input as { attachmentIds: string[]; x?: number; y?: number; gap?: number; direction?: "row" | "column" });
if (tool === "canvas_create_node") {
const data = input as { nodeType: CanvasNodeType; title?: string; x?: number; y?: number; width?: number; height?: number; metadata?: Record<string, unknown> };
input = { ops: [{ type: "add_node", nodeType: data.nodeType, title: data.title, position: { x: data.x ?? nextCanvasX(this.canvasState), y: data.y ?? 0 }, width: data.width, height: data.height, metadata: data.metadata }] };
tool = "canvas_apply_ops";
}
if (tool === "canvas_create_text_node") {
const text = input as { text?: string; x?: number; y?: number; title?: string; width?: number; height?: number };
input = { ops: [textNodeOp(text, text.x ?? nextCanvasX(this.canvasState), text.y ?? 0)] };
tool = "canvas_apply_ops";
}
if (tool === "canvas_create_text_nodes") {
const data = input as { items: Array<{ text: string; title?: string; x?: number; y?: number; width?: number; height?: number }>; x?: number; y?: number; gap?: number; direction?: "row" | "column" };
const x = Number(data.x ?? nextCanvasX(this.canvasState));
const y = Number(data.y ?? 0);
const gap = Number(data.gap ?? 40);
input = {
ops: data.items.map((item, index) => textNodeOp(item, item.x ?? (data.direction === "row" ? x + index * (340 + gap) : x), item.y ?? (data.direction === "row" ? y : y + index * (240 + gap)))),
};
tool = "canvas_apply_ops";
}
if (tool === "canvas_create_image_prompt_flow") {
input = { ops: generationFlowOps({ ...(input as Record<string, unknown>), mode: "image" }, this.canvasState) };
tool = "canvas_apply_ops";
}
if (tool === "canvas_create_config_node") {
const data = input as Record<string, unknown>;
const x = Number(data.x ?? nextCanvasX(this.canvasState));
const y = Number(data.y ?? 0);
const configId = `config-${crypto.randomUUID()}`;
const mode = generationMode(data.mode);
const prompt = String(data.prompt || "");
input = { ops: [configNodeOp(configId, data, x, y), ...(data.autoRun ? [runGenerationOp(configId, mode, prompt)] : [])] };
tool = "canvas_apply_ops";
}
if (tool === "canvas_create_generation_flow") {
input = { ops: generationFlowOps(input as Record<string, unknown>, this.canvasState) };
tool = "canvas_apply_ops";
}
if (tool === "canvas_generate_text" || tool === "canvas_generate_image" || tool === "canvas_generate_video" || tool === "canvas_generate_audio") {
input = { ops: generationFlowOps({ ...(input as Record<string, unknown>), mode: tool.replace("canvas_generate_", ""), autoRun: true }, this.canvasState) };
tool = "canvas_apply_ops";
}
if (tool === "canvas_update_node") {
const data = input as { id: string; patch?: Record<string, unknown>; metadata?: Record<string, unknown> };
input = { ops: [{ type: "update_node", id: data.id, patch: data.patch, metadata: data.metadata }] };
tool = "canvas_apply_ops";
}
if (tool === "canvas_update_node_text") {
const data = input as { id: string; text: string; title?: string };
input = { ops: [{ type: "update_node", id: data.id, patch: { ...(data.title ? { title: data.title } : {}) }, metadata: { content: data.text, status: "success" } }] };
tool = "canvas_apply_ops";
}
if (tool === "canvas_move_nodes") {
const data = input as { items: Array<{ id: string; x?: number; y?: number; dx?: number; dy?: number }> };
input = {
ops: data.items.map((item) => {
const current = findNode(this.canvasState, item.id);
return { type: "update_node", id: item.id, patch: { position: { x: item.x ?? ((current?.position.x || 0) + (item.dx || 0)), y: item.y ?? ((current?.position.y || 0) + (item.dy || 0)) } } };
}),
};
tool = "canvas_apply_ops";
}
if (tool === "canvas_resize_node") {
const data = input as { id: string; width: number; height: number; freeResize?: boolean };
input = { ops: [{ type: "update_node", id: data.id, patch: { width: data.width, height: data.height }, metadata: data.freeResize === undefined ? undefined : { freeResize: data.freeResize } }] };
tool = "canvas_apply_ops";
}
if (tool === "canvas_delete_nodes") {
input = { ops: [{ type: "delete_node", ids: (input as { ids: string[] }).ids }] };
tool = "canvas_apply_ops";
}
if (tool === "canvas_connect_nodes") {
const data = input as { connections: Array<{ fromNodeId: string; toNodeId: string }> };
input = { ops: data.connections.map((connection) => ({ type: "connect_nodes", ...connection })) };
tool = "canvas_apply_ops";
}
if (tool === "canvas_select_nodes") {
input = { ops: [{ type: "select_nodes", ids: (input as { ids: string[] }).ids }] };
tool = "canvas_apply_ops";
}
if (tool === "canvas_set_viewport") {
input = { ops: [{ type: "set_viewport", viewport: (input as { viewport: unknown }).viewport }] };
tool = "canvas_apply_ops";
}
if (tool === "canvas_run_generation") {
const data = input as { nodeId: string; mode?: string; prompt?: string };
input = { ops: [runGenerationOp(data.nodeId, generationMode(data.mode), data.prompt)] };
tool = "canvas_apply_ops";
}
if (tool !== "canvas_apply_ops") throw new Error(`未知工具:${tool}`);
if (!this.clients.size) throw new Error("当前没有已连接画布");
return await this.requestCanvasTool(tool, input);
}
private async createAttachmentNodes(input: { attachmentIds: string[]; x?: number; y?: number; gap?: number; direction?: "row" | "column" }) {
const clientId = this.targetClientId;
if (!this.clients.has(clientId)) throw new Error("当前没有已连接画布");
const attachments = input.attachmentIds.map((id) => this.getTurnAttachment(clientId, id));
const x = Number(input.x ?? nextCanvasX(this.canvasState));
const y = Number(input.y ?? 0);
const gap = Number(input.gap ?? 40);
const direction = input.direction || "row";
let offset = 0;
const nodes = attachments.map((attachment) => {
const size = fitAttachmentNodeSize(attachment.width, attachment.height);
const node = {
id: `image-${crypto.randomUUID()}`,
attachmentId: attachment.id,
title: attachment.name,
position: { x: direction === "row" ? x + offset : x, y: direction === "column" ? y + offset : y },
width: size.width,
height: size.height,
};
offset += (direction === "row" ? size.width : size.height) + gap;
return node;
});
await this.requestCanvasTool("canvas_create_attachment_nodes", { nodes });
return { nodes: nodes.map(({ id, attachmentId, title }) => ({ id, attachmentId, title })) };
}
private async requestCanvasTool(name: ToolName, input: Record<string, unknown>) {
const requestId = crypto.randomUUID();
const clientId = this.targetClientId;
const client = this.clients.get(clientId);
if (!client) throw new Error("当前没有已连接画布");
sendEvent(client, "tool_call", { requestId, name, input });
return await new Promise((resolve, reject) => {
const timer = setTimeout(() => {
this.pending.delete(requestId);
reject(new Error("画布操作超时"));
}, 30000);
this.pending.set(requestId, { clientId, resolve: (value) => (clearTimeout(timer), resolve(value)), reject: (error) => (clearTimeout(timer), reject(error)) });
});
}
}
function sendEvent(res: ServerResponse, type: string, payload: unknown) {
res.write(`event: ${type}\ndata: ${JSON.stringify(payload)}\n\n`);
}
function textNodeOp(input: { id?: string; text?: string; title?: string; width?: number; height?: number }, x: number, y: number) {
return { type: "add_node", id: input.id, nodeType: "text", title: input.title, position: { x, y }, width: input.width, height: input.height, metadata: { content: input.text || "", status: "success", fontSize: 14 } };
}
function configNodeOp(id: string, input: Record<string, unknown>, x: number, y: number) {
const mode = generationMode(input.mode);
const prompt = String(input.prompt || "");
return {
type: "add_node",
id,
nodeType: "config",
title: String(input.title || generationTitle(mode)),
position: { x, y },
width: typeof input.width === "number" ? input.width : undefined,
height: typeof input.height === "number" ? input.height : undefined,
metadata: cleanRecord({
generationMode: mode,
composerContent: prompt,
prompt,
status: "idle",
model: input.model,
size: input.size,
quality: input.quality,
count: input.count,
seconds: input.seconds,
vquality: input.vquality,
generateAudio: input.generateAudio,
watermark: input.watermark,
audioVoice: input.audioVoice,
audioFormat: input.audioFormat,
audioSpeed: input.audioSpeed,
audioInstructions: input.audioInstructions,
}),
};
}
function generationFlowOps(input: Record<string, unknown>, state: CanvasSnapshot | null) {
const mode = generationMode(input.mode);
const prompt = String(input.prompt || "");
const x = Number(input.x ?? nextCanvasX(state));
const y = Number(input.y ?? 0);
const textId = `text-${crypto.randomUUID()}`;
const configId = `config-${crypto.randomUUID()}`;
const referenceNodeIds = Array.isArray(input.referenceNodeIds) ? input.referenceNodeIds.filter((id): id is string => typeof id === "string") : [];
const tokens = [`@[node:${textId}]`, ...referenceNodeIds.map((id) => `@[node:${id}]`)];
const configInput = { ...input, prompt: tokens.join("\n") };
return [
textNodeOp({ id: textId, text: prompt, title: String(input.title || "提示词") }, x, y),
configNodeOp(configId, configInput, x + 420, y),
{ type: "connect_nodes", fromNodeId: textId, toNodeId: configId },
...referenceNodeIds.map((fromNodeId) => ({ type: "connect_nodes", fromNodeId, toNodeId: configId })),
{ type: "select_nodes", ids: [configId] },
...(input.autoRun ? [runGenerationOp(configId, mode, tokens.join("\n"))] : []),
];
}
function runGenerationOp(nodeId: string, mode: "text" | "image" | "video" | "audio", prompt?: string) {
return { type: "run_generation", nodeId, mode, prompt };
}
function generationMode(value: unknown): "text" | "image" | "video" | "audio" {
return value === "text" || value === "video" || value === "audio" ? value : "image";
}
function generationTitle(mode: "text" | "image" | "video" | "audio") {
if (mode === "text") return "文本生成";
if (mode === "video") return "视频生成";
if (mode === "audio") return "音频生成";
return "图片生成";
}
function findNode(state: CanvasSnapshot | null, id: string): CanvasNode | undefined {
return (state?.nodes || []).find((node) => node.id === id);
}
function cleanRecord(value: Record<string, unknown>) {
return Object.fromEntries(Object.entries(value).filter(([, item]) => item !== undefined && item !== ""));
}
function positiveNumber(value: unknown, fallback: number) {
const number = Number(value);
return Number.isFinite(number) && number > 0 ? number : fallback;
}
function fitAttachmentNodeSize(width: number, height: number) {
const scale = Math.min(1, 640 / width, 640 / height);
return { width: width * scale, height: height * scale };
}
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import crypto from "node:crypto";
import fs from "node:fs";
import os from "node:os";
import path from "node:path";
export const DEFAULT_PORT = 17371;
export const CONFIG_DIR = path.join(os.homedir(), ".infinite-canvas");
export const CONFIG_FILE = path.join(CONFIG_DIR, "canvas-agent.json");
export const VERSION = readPackageVersion();
export const AGENT_PROMPT = "你正在帮助用户操作 Infinite Canvas 网站。切换网站页面用 site_navigate,可跳 / (首页)、/canvas (我的画布)、/canvas/:id (指定画布)、/image、/video、/prompts、/assets、/config。需要改动画布时优先使用已配置的 infinite-canvas MCP 工具:先 canvas_get_state 读取当前画布,再根据任务使用 canvas_create_text_node、canvas_generate_text、canvas_generate_image、canvas_generate_video、canvas_generate_audio、canvas_create_generation_flow、canvas_create_config_node、canvas_run_generation、canvas_update_node、canvas_connect_nodes 等通用工具;复杂批量改动再用 canvas_apply_ops,删除连线可用 delete_connections。本轮若有用户上传的图片附件,会同时给出 attachmentId;用户要求把附件放入画布或作为生成参考图时,必须先用 canvas_create_attachment_nodes 创建真实图片节点,再把返回的节点 ID 传给 canvas_create_generation_flow.referenceNodeIds,不要创建空图片占位节点。若当前不在画布页,画布工具会报错,需先用 site_navigate 打开画布。想了解或打开用户已有画布,用 canvas_list_projects 获取画布清单和 id,再用 site_navigate 跳 /canvas/:id 打开。生图工作台可用 workbench_image_get_config 看可选项、workbench_image_generate 填提示词并生成;视频创作台对应 workbench_video_get_config 与 workbench_video_generate;用 prompts_search 分页搜索提示词库;用 assets_list 查看「我的素材」、assets_add 新增文本或图片素材。需要生成内容时直接调用对应生成工具,不要绑定特定业务场景。不要模拟鼠标点击,不要要求用户手动复制 JSON。";
export type SiteWorkspaceConfig = { workspacePath: string; activeThreadId?: string; pinnedThreadIds?: string[] };
export type CanvasAgentConfig = { url: string; token: string; origins?: string[]; workspace?: SiteWorkspaceConfig };
export function loadConfig(create = false): CanvasAgentConfig {
try {
return JSON.parse(fs.readFileSync(CONFIG_FILE, "utf8")) as CanvasAgentConfig;
} catch {
const config = { url: `http://127.0.0.1:${Number(process.env.PORT) || DEFAULT_PORT}`, token: crypto.randomBytes(18).toString("hex") };
if (create) saveConfig(config);
return config;
}
}
export function saveConfig(config: CanvasAgentConfig) {
fs.mkdirSync(CONFIG_DIR, { recursive: true });
fs.writeFileSync(CONFIG_FILE, JSON.stringify(config, null, 2));
}
export function ensureSiteWorkspace(config: CanvasAgentConfig) {
const current = config.workspace;
if (current?.workspacePath) {
const workspacePath = resolveWorkspacePath(current.workspacePath);
fs.mkdirSync(workspacePath, { recursive: true });
return { ...current, workspacePath };
}
const workspacePath = path.join(CONFIG_DIR, "codex-workspaces", "site");
config.workspace = { workspacePath };
fs.mkdirSync(workspacePath, { recursive: true });
saveConfig(config);
return { workspacePath };
}
export function updateSiteWorkspace(config: CanvasAgentConfig, patch: Partial<SiteWorkspaceConfig>) {
const current = ensureSiteWorkspace(config);
const workspacePath = patch.workspacePath ? resolveWorkspacePath(patch.workspacePath) : current.workspacePath;
const next = { ...current, ...patch, workspacePath };
config.workspace = { workspacePath: next.workspacePath, activeThreadId: next.activeThreadId, pinnedThreadIds: next.pinnedThreadIds };
fs.mkdirSync(workspacePath, { recursive: true });
saveConfig(config);
return config.workspace;
}
function resolveWorkspacePath(value: string) {
if (value === "~") return os.homedir();
if (value.startsWith("~/")) return path.join(os.homedir(), value.slice(2));
return path.resolve(value);
}
function readPackageVersion() {
try {
const pkg = JSON.parse(fs.readFileSync(new URL("../package.json", import.meta.url), "utf8")) as { version?: string };
return pkg.version || "0.0.0";
} catch {
return "0.0.0";
}
}
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import express, { type NextFunction, type Request, type Response } from "express";
import { DEFAULT_PORT, ensureSiteWorkspace, loadConfig, saveConfig, updateSiteWorkspace, type CanvasAgentConfig } from "./config.js";
import { CanvasSession } from "./canvas-session.js";
import { archiveCodexThread, interruptCodexTurn, isRecoverableThreadError, listCodexThreads, readCodexThread, resumeCodexThread, runClaudeTurn, runCodexTurn, startCodexThread, summarizeCodexThread, verifyCodexThreadWorkspace, withAgentPrompt } from "./agents.js";
import type { AgentAttachment } from "./types.js";
export function startHttpServer() {
const config = loadConfig(true);
const port = Number(process.env.PORT) || Number(new URL(config.url).port) || DEFAULT_PORT;
config.url = `http://127.0.0.1:${port}`;
saveConfig(config);
const session = new CanvasSession();
const emit = (type: string, payload: unknown) => {
const data = payload && typeof payload === "object" && !Array.isArray(payload) ? payload as Record<string, unknown> : { value: payload };
const threadId = String(data.threadId || data.thread_id || ensureSiteWorkspace(config).activeThreadId || "");
threadId ? session.emitThread(type, threadId, data) : session.emitAll(type, data);
};
const setActiveThread = (activeThreadId: string, payload: Record<string, unknown> = {}) => {
const workspace = updateSiteWorkspace(config, { activeThreadId: activeThreadId || undefined });
session.emitThread("workspace_changed", activeThreadId, { ...payload, activeThreadId });
return workspace;
};
const app = express();
app.disable("x-powered-by");
app.use(express.json({ limit: "30mb" }));
app.use((req, res, next) => {
const url = requestUrl(req, config);
if (!setCors(req, res, url, config)) return void res.status(403).json({ ok: false, error: "origin not allowed" });
if (req.method === "OPTIONS") return void res.json({});
next();
});
app.get("/health", (_req, res) => res.json(session.health()));
app.get("/config", (_req, res) => res.json({ ok: true, url: config.url, hasToken: true }));
app.use((req, res, next) => {
if (validToken(req, requestUrl(req, config), config.token)) return next();
res.status(401).json({ ok: false, error: "invalid token" });
});
app.get("/events", (req, res) => session.openEvents(requestUrl(req, config), res));
app.post("/canvas/state", (req, res) => {
session.updateState(req.body, String(req.query.clientId || "") || undefined);
res.json({ ok: true });
});
app.post("/canvas/activate", (req, res) => {
session.activateClient(String(req.query.clientId || ""));
res.json({ ok: true });
});
app.post("/canvas/result", (req, res) => {
const ok = session.resolveResult(String(req.query.clientId || ""), req.body);
res.status(ok ? 200 : 409).json({ ok });
});
app.get("/agent/attachments/:attachmentId", route(async (req, res) => {
const attachment = session.getTurnAttachment(String(req.query.clientId || ""), routeParam(req.params.attachmentId));
const data = attachment.dataUrl.split(",", 2)[1];
if (!data) throw new Error("图片附件内容无效");
res.setHeader("Cache-Control", "no-store");
res.type(attachment.type).send(Buffer.from(data, "base64"));
}));
app.post("/api/tools", route(async (req, res) => res.json({ ok: true, result: await session.callTool(req.body?.name, req.body?.input || {}) })));
app.get("/agent/codex/workspace", (_req, res) => {
const workspace = ensureSiteWorkspace(config);
res.json({ ok: true, workspace });
});
app.get("/agent/codex/threads", route(async (req, res) => {
const workspace = ensureSiteWorkspace(config);
const result = await listCodexThreads(emit, { cwd: workspace.workspacePath, searchTerm: String(req.query.searchTerm || "") });
res.json({ ok: true, workspace, ...result });
}));
app.post("/agent/codex/threads/new", route(async (_req, res) => {
if (session.codexBusy) return res.status(409).json({ ok: false, error: "Codex 正在运行,请等待当前任务完成" });
const workspace = ensureSiteWorkspace(config);
const thread = await startCodexThread(emit, workspace.workspacePath);
const activeThreadId = String((thread as Record<string, unknown>).id || "");
const nextWorkspace = setActiveThread(activeThreadId, { emptyThread: true });
res.json({ ok: true, workspace: nextWorkspace, thread: summarizeCodexThread(thread), messages: [] });
}));
app.get("/agent/codex/threads/:threadId", route(async (req, res) => {
const workspace = ensureSiteWorkspace(config);
const threadId = routeParam(req.params.threadId);
try {
res.json({ ok: true, workspace, ...(await readCodexThread(emit, threadId, workspace.workspacePath)) });
} catch (error) {
if (workspace.activeThreadId !== threadId || !isRecoverableThreadError(error)) throw error;
res.json({ ok: true, workspace, thread: { id: threadId, preview: "", cwd: workspace.workspacePath }, messages: [] });
}
}));
app.post("/agent/codex/threads/:threadId/resume", route(async (req, res) => {
if (session.codexBusy) return res.status(409).json({ ok: false, error: "Codex 正在运行,请等待当前任务完成" });
const workspace = ensureSiteWorkspace(config);
const threadId = routeParam(req.params.threadId);
const result = await resumeCodexThread(emit, threadId, workspace.workspacePath);
const nextWorkspace = setActiveThread(threadId);
res.json({ ok: true, workspace: nextWorkspace, ...result });
}));
app.post("/agent/codex/threads/:threadId/delete", route(async (req, res) => {
if (session.codexBusy) return res.status(409).json({ ok: false, error: "Codex 正在运行,请等待当前任务完成" });
const workspace = ensureSiteWorkspace(config);
const threadId = routeParam(req.params.threadId);
await archiveCodexThread(emit, threadId, workspace.workspacePath);
setActiveThread(workspace.activeThreadId === threadId ? "" : workspace.activeThreadId || "");
res.json({ ok: true });
}));
app.post("/agent/codex/turn", route(async (req, res) => {
if (session.codexBusy) return res.status(409).json({ ok: false, error: "Codex 正在运行,请等待当前任务完成" });
const attachments = Array.isArray(req.body?.attachments) ? (req.body.attachments as AgentAttachment[]) : [];
const workspace = ensureSiteWorkspace(config);
const prompt = String(req.body?.prompt || "");
if (!prompt.trim()) return res.status(400).json({ ok: false, error: "请输入任务内容" });
const clientId = String(req.body?.clientId || "");
session.setCodexState({ busy: true, threadId: String(req.body?.threadId || workspace.activeThreadId || ""), turnId: "" });
try {
let threadId = String(req.body?.threadId || workspace.activeThreadId || "");
let turnId = "";
if (!threadId) {
const thread = await startCodexThread(emit, workspace.workspacePath);
threadId = String((thread as Record<string, unknown>).id || "");
setActiveThread(threadId, { emptyThread: true });
} else if (threadId !== workspace.activeThreadId) {
await verifyCodexThreadWorkspace(emit, threadId, workspace.workspacePath);
setActiveThread(threadId);
}
const attachmentRefs = session.setTurnAttachments(clientId, attachments);
const chatMessage = {
sourceClientId: clientId,
message: { id: String(req.body?.messageId || Date.now()), role: "user", text: String(req.body?.messageText || prompt || `发送了 ${attachments.length} 张图片`) },
};
let chatThreadId = "";
const turnEmit = (type: string, payload: unknown) => {
const data = payload && typeof payload === "object" && !Array.isArray(payload) ? payload as Record<string, unknown> : { value: payload };
session.emitThread(type, threadId, data);
};
void runCodexTurn(withAgentPrompt(withAttachmentContext(prompt, attachmentRefs)), turnEmit, attachments, {
threadId,
cwd: workspace.workspacePath,
appEmit: emit,
onStart: clientId ? () => session.bindClient(clientId) : undefined,
onThread: (actualThreadId) => {
if (actualThreadId !== threadId) {
threadId = actualThreadId;
setActiveThread(threadId, { emptyThread: true });
}
session.setCodexState({ busy: true, threadId, turnId: "" });
if (chatThreadId !== threadId) {
chatThreadId = threadId;
session.emitThread("chat_message", threadId, chatMessage);
}
},
onTurn: (actualTurnId) => {
turnId = actualTurnId;
session.setCodexState({ busy: true, threadId, turnId });
},
onFinish: () => {
session.clearTurnAttachments(clientId);
if (clientId) session.releaseClient(clientId);
session.setCodexState({ busy: false, threadId, turnId });
},
});
res.json({ ok: true, threadId });
} catch (error) {
session.setCodexState({ busy: false, threadId: String(req.body?.threadId || workspace.activeThreadId || ""), turnId: "" });
throw error;
}
}));
app.post("/agent/codex/interrupt", (req, res) => {
const ok = interruptCodexTurn(String(req.body?.threadId || ""));
res.json({ ok });
});
app.post("/agent/claude/turn", (req, res) => {
runClaudeTurn(withAgentPrompt(String(req.body?.prompt || "")), emit);
res.json({ ok: true });
});
app.use((_req, res) => res.status(404).json({ ok: false, error: "not found" }));
app.use((error: Error, _req: Request, res: Response, _next: NextFunction) => res.status(500).json({ ok: false, error: error.message }));
app.listen(port, "127.0.0.1", () => {
console.log("Infinite Canvas Agent");
console.log(`Local URL: ${config.url}`);
console.log(`Connect token: ${config.token}`);
console.log("Codex MCP is not installed by this command.");
console.log("Optional MCP add: codex mcp add infinite-canvas -- npx -y @basketikun/canvas-agent mcp");
console.log("Remove manually added MCP: codex mcp remove infinite-canvas");
});
}
function route(handler: (req: Request, res: Response) => Promise<unknown>) {
return (req: Request, res: Response, next: NextFunction) => void handler(req, res).catch(next);
}
function routeParam(value: string | string[]) {
return Array.isArray(value) ? value[0] || "" : value;
}
function requestUrl(req: Request, config: CanvasAgentConfig) {
return new URL(req.originalUrl || req.url || "/", config.url);
}
function setCors(req: Request, res: Response, url: URL, config: CanvasAgentConfig) {
const origin = req.headers.origin;
res.setHeader("Access-Control-Allow-Origin", origin || "*");
res.setHeader("Access-Control-Allow-Headers", "content-type,x-canvas-agent-token");
res.setHeader("Access-Control-Allow-Methods", "GET,POST,OPTIONS");
res.setHeader("Access-Control-Allow-Private-Network", "true");
if (!origin || req.method === "OPTIONS" || url.pathname === "/health" || url.pathname === "/config") return true;
config.origins ||= [];
if (validToken(req, url, config.token) && !config.origins.includes(origin)) {
config.origins.push(origin);
saveConfig(config);
}
res.setHeader("Vary", "Origin");
return config.origins.includes(origin);
}
function validToken(req: Request, url: URL, token: string) {
const header = req.headers["x-canvas-agent-token"];
return url.searchParams.get("token") === token || header === token || (Array.isArray(header) && header.includes(token));
}
function withAttachmentContext(prompt: string, attachments: Array<{ id: string; name: string }>) {
if (!attachments.length) return prompt;
const list = attachments.map((item, index) => `${index + 1}. attachmentId=${item.id}, name=${JSON.stringify(item.name)}`).join("\n");
return `${prompt}\n\n本轮可用图片附件(顺序与图片输入一致):\n${list}\n需要把附件放入画布或作为生成参考图时,先调用 canvas_create_attachment_nodes,再使用返回的画布节点 ID 创建生成流程。`;
}
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#!/usr/bin/env node
import { startHttpServer } from "./http-server.js";
import { startMcpServer } from "./mcp-server.js";
if (process.argv[2] === "mcp") await startMcpServer();
else startHttpServer();
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import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import { AGENT_PROMPT, loadConfig, type CanvasAgentConfig, VERSION } from "./config.js";
import { toolDescriptions, toolInputSchemas, toolNames, type ToolName } from "./schemas.js";
type CanvasAgentToolResponse = { ok?: boolean; result?: unknown; error?: string };
export async function startMcpServer() {
const config = loadConfig(true);
const server = new McpServer({ name: "canvas-agent", version: VERSION }, { instructions: AGENT_PROMPT });
toolNames.forEach((name) => registerCanvasTool(server, config, name));
await server.connect(new StdioServerTransport());
}
function registerCanvasTool(server: McpServer, config: CanvasAgentConfig, name: ToolName) {
const schema = toolInputSchemas[name];
server.registerTool(name, { description: toolDescriptions[name], inputSchema: schema.shape }, async (input: unknown) => {
const result = await postCanvasAgentTool(config, name, schema.parse(input));
return { content: [{ type: "text" as const, text: JSON.stringify(result, null, 2) }] };
});
}
async function postCanvasAgentTool(config: CanvasAgentConfig, name: ToolName, input: unknown) {
const res = await fetch(`${config.url}/api/tools`, { method: "POST", headers: { "content-type": "application/json", "x-canvas-agent-token": config.token }, body: JSON.stringify({ name, input }) });
const body = (await res.json()) as CanvasAgentToolResponse;
if (!body.ok) throw new Error(body.error || "tool call failed");
return body.result;
}
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import { z } from "zod";
const recordSchema = z.record(z.unknown());
const positionSchema = z.object({ x: z.number(), y: z.number() });
const viewportSchema = z.object({ x: z.number(), y: z.number(), k: z.number() });
const nodeTypeSchema = z.enum(["image", "text", "config", "video", "audio"]);
const generationModeSchema = z.enum(["text", "image", "video", "audio"]);
export const toolNames = [
"site_navigate",
"canvas_list_projects",
"canvas_get_state",
"canvas_get_selection",
"canvas_export_snapshot",
"canvas_apply_ops",
"canvas_create_node",
"canvas_create_attachment_nodes",
"canvas_create_text_node",
"canvas_create_text_nodes",
"canvas_create_config_node",
"canvas_create_image_prompt_flow",
"canvas_create_generation_flow",
"canvas_generate_text",
"canvas_generate_image",
"canvas_generate_video",
"canvas_generate_audio",
"canvas_update_node",
"canvas_update_node_text",
"canvas_move_nodes",
"canvas_resize_node",
"canvas_delete_nodes",
"canvas_connect_nodes",
"canvas_select_nodes",
"canvas_set_viewport",
"canvas_run_generation",
"generation_get_status",
"workbench_image_get_config",
"workbench_image_generate",
"workbench_video_get_config",
"workbench_video_generate",
"prompts_search",
"assets_list",
"assets_add",
] as const;
export type ToolName = (typeof toolNames)[number];
export const canvasOpSchema = z.discriminatedUnion("type", [
z.object({ type: z.literal("add_node"), nodeType: nodeTypeSchema.optional(), id: z.string().optional(), title: z.string().optional(), x: z.number().optional(), y: z.number().optional(), width: z.number().optional(), height: z.number().optional(), position: positionSchema.optional(), metadata: recordSchema.optional() }).passthrough(),
z.object({ type: z.literal("update_node"), id: z.string(), patch: recordSchema.optional(), metadata: recordSchema.optional() }).passthrough(),
z.object({ type: z.literal("delete_node"), id: z.string().optional(), ids: z.array(z.string()).optional() }).passthrough(),
z.object({ type: z.literal("delete_connections"), id: z.string().optional(), ids: z.array(z.string()).optional(), all: z.boolean().optional() }).passthrough(),
z.object({ type: z.literal("connect_nodes"), id: z.string().optional(), fromNodeId: z.string(), toNodeId: z.string() }).passthrough(),
z.object({ type: z.literal("set_viewport"), viewport: viewportSchema }).passthrough(),
z.object({ type: z.literal("select_nodes"), ids: z.array(z.string()) }).passthrough(),
z.object({ type: z.literal("run_generation"), nodeId: z.string(), mode: generationModeSchema.optional(), prompt: z.string().optional() }).passthrough(),
]);
const textNodeSchema = z.object({
text: z.string(),
title: z.string().optional(),
x: z.number().optional(),
y: z.number().optional(),
width: z.number().optional(),
height: z.number().optional(),
});
const generationOptionsSchema = z.object({
model: z.string().optional(),
size: z.string().optional(),
quality: z.string().optional(),
count: z.number().optional(),
seconds: z.string().optional(),
vquality: z.string().optional(),
generateAudio: z.string().optional(),
watermark: z.string().optional(),
audioVoice: z.string().optional(),
audioFormat: z.string().optional(),
audioSpeed: z.string().optional(),
audioInstructions: z.string().optional(),
});
const generationFlowSchema = z.object({
prompt: z.string(),
title: z.string().optional(),
x: z.number().optional(),
y: z.number().optional(),
referenceNodeIds: z.array(z.string()).optional(),
});
export const toolInputSchemas = {
site_navigate: z.object({ path: z.string() }),
canvas_list_projects: z.object({ keyword: z.string().optional(), page: z.number().optional(), pageSize: z.number().optional() }),
canvas_get_state: z.object({}).passthrough(),
canvas_get_selection: z.object({}).passthrough(),
canvas_export_snapshot: z.object({}).passthrough(),
canvas_apply_ops: z.object({ ops: z.array(canvasOpSchema) }),
canvas_create_node: z.object({ nodeType: nodeTypeSchema, title: z.string().optional(), x: z.number().optional(), y: z.number().optional(), width: z.number().optional(), height: z.number().optional(), metadata: recordSchema.optional() }),
canvas_create_attachment_nodes: z.object({ attachmentIds: z.array(z.string()).min(1), x: z.number().optional(), y: z.number().optional(), gap: z.number().optional(), direction: z.enum(["row", "column"]).optional() }),
canvas_create_text_node: z.object({ text: z.string().optional(), x: z.number().optional(), y: z.number().optional(), title: z.string().optional(), width: z.number().optional(), height: z.number().optional() }),
canvas_create_text_nodes: z.object({ items: z.array(textNodeSchema).min(1), x: z.number().optional(), y: z.number().optional(), gap: z.number().optional(), direction: z.enum(["row", "column"]).optional() }),
canvas_create_config_node: z.object({ prompt: z.string().optional(), mode: generationModeSchema.optional(), title: z.string().optional(), x: z.number().optional(), y: z.number().optional(), width: z.number().optional(), height: z.number().optional(), autoRun: z.boolean().optional() }).merge(generationOptionsSchema),
canvas_create_image_prompt_flow: z.object({ prompt: z.string(), x: z.number().optional(), y: z.number().optional(), autoRun: z.boolean().optional() }).merge(generationOptionsSchema),
canvas_create_generation_flow: generationFlowSchema.extend({ mode: generationModeSchema.optional(), autoRun: z.boolean().optional() }).merge(generationOptionsSchema),
canvas_generate_text: generationFlowSchema.merge(generationOptionsSchema),
canvas_generate_image: generationFlowSchema.merge(generationOptionsSchema),
canvas_generate_video: generationFlowSchema.merge(generationOptionsSchema),
canvas_generate_audio: generationFlowSchema.merge(generationOptionsSchema),
canvas_update_node: z.object({ id: z.string(), patch: recordSchema.optional(), metadata: recordSchema.optional() }),
canvas_update_node_text: z.object({ id: z.string(), text: z.string(), title: z.string().optional() }),
canvas_move_nodes: z.object({ items: z.array(z.object({ id: z.string(), x: z.number().optional(), y: z.number().optional(), dx: z.number().optional(), dy: z.number().optional() })).min(1) }),
canvas_resize_node: z.object({ id: z.string(), width: z.number(), height: z.number(), freeResize: z.boolean().optional() }),
canvas_delete_nodes: z.object({ ids: z.array(z.string()).min(1) }),
canvas_connect_nodes: z.object({ connections: z.array(z.object({ fromNodeId: z.string(), toNodeId: z.string() })).min(1) }),
canvas_select_nodes: z.object({ ids: z.array(z.string()) }),
canvas_set_viewport: z.object({ viewport: viewportSchema }),
canvas_run_generation: z.object({ nodeId: z.string(), mode: generationModeSchema.optional(), prompt: z.string().optional() }),
generation_get_status: z.object({ scope: z.enum(["all", "canvas", "image", "video"]).optional(), taskId: z.string().optional(), nodeIds: z.array(z.string()).optional(), limit: z.number().optional() }),
workbench_image_get_config: z.object({}).passthrough(),
workbench_image_generate: z.object({ prompt: z.string(), model: z.string().optional(), quality: z.string().optional(), size: z.string().optional(), count: z.number().optional(), run: z.boolean().optional() }),
workbench_video_get_config: z.object({}).passthrough(),
workbench_video_generate: z.object({ prompt: z.string(), model: z.string().optional(), size: z.string().optional(), seconds: z.string().optional(), resolution: z.string().optional(), generateAudio: z.boolean().optional(), watermark: z.boolean().optional(), run: z.boolean().optional() }),
prompts_search: z.object({ keyword: z.string().optional(), category: z.string().optional(), tags: z.array(z.string()).optional(), page: z.number().optional(), pageSize: z.number().optional() }),
assets_list: z.object({ kind: z.enum(["all", "text", "image", "video"]).optional(), keyword: z.string().optional(), page: z.number().optional(), pageSize: z.number().optional() }),
assets_add: z.object({ kind: z.enum(["text", "image"]), title: z.string(), content: z.string().optional(), imageUrl: z.string().optional(), tags: z.array(z.string()).optional(), source: z.string().optional(), note: z.string().optional() }),
} satisfies Record<ToolName, z.AnyZodObject>;
export const toolDescriptions: Record<ToolName, string> = {
site_navigate: "跳转网站页面。path 可为 / (首页)、/canvas (我的画布)、/canvas/:id (指定画布)、/image (生图工作台)、/video (视频创作台)、/prompts (提示词库)、/assets (我的素材)、/config (配置)。操作画布前若不在画布页,先用本工具打开画布。",
canvas_list_projects: "列出用户全部画布(仅标题、创建/更新时间、节点数、连线数,不含完整数据),支持 keyword 搜索和 page/pageSize 分页。返回的 id 可配合 site_navigate 跳转到 /canvas/:id 打开对应画布。",
canvas_get_state: "读取当前网页画布的节点、连线、选区和视口。",
canvas_get_selection: "读取当前网页画布选中的节点。",
canvas_export_snapshot: "导出当前画布快照,用于理解布局。",
canvas_apply_ops: "批量操作当前网页画布。ops 支持 add_node、update_node、delete_node、delete_connections、connect_nodes、set_viewport、select_nodes、run_generation。",
canvas_create_node: "创建任意类型节点:text、image、config、video、audio。适合创建占位图、媒体占位、配置节点或自定义 metadata 节点。",
canvas_create_attachment_nodes: "把当前对话中用户上传的图片附件创建成真实画布图片节点。attachmentIds 使用本轮附件清单中的 ID;返回的节点 ID 可传给 canvas_create_generation_flow.referenceNodeIds 作为生成参考图。",
canvas_create_text_node: "在当前画布创建单个文本节点。",
canvas_create_text_nodes: "批量创建文本节点,适合生成标题、段落、脚本、说明等内容块。",
canvas_create_config_node: "创建生成配置节点,可指定 text/image/video/audio 模式和生成参数,可选择立即触发生成。",
canvas_create_image_prompt_flow: "创建提示词文本节点和图片生成配置节点,并自动连线,可选择立即触发生图。",
canvas_create_generation_flow: "创建通用生成流程:提示词文本节点、生成配置节点、参考节点连线,可用于文案、生图、视频或音频。",
canvas_generate_text: "创建通用文本生成流程并立即触发生成。",
canvas_generate_image: "创建通用图片生成流程并立即触发生成。",
canvas_generate_video: "创建通用视频生成流程并立即触发生成。",
canvas_generate_audio: "创建通用音频生成流程并立即触发生成。",
canvas_update_node: "更新节点基础字段或 metadata。",
canvas_update_node_text: "更新文本节点内容和标题。",
canvas_move_nodes: "移动一个或多个节点,支持绝对坐标或 dx/dy 偏移。",
canvas_resize_node: "调整节点尺寸。",
canvas_delete_nodes: "删除指定节点及相关连线。",
canvas_connect_nodes: "批量连接节点。",
canvas_select_nodes: "设置当前选中节点。",
canvas_set_viewport: "调整画布视口。",
canvas_run_generation: "触发指定节点生成,通常用于配置节点或文本/图片/视频/音频节点。",
generation_get_status: "查询当前活动网页的生成任务状态。默认返回画布、生图工作台和视频工作台最近任务;可用 scope 过滤来源,用 taskId 查询工作台任务,用 nodeIds 查询画布节点。",
workbench_image_get_config: "读取生图工作台的当前参数和可选项(可用模型、质量、尺寸/宽高比、张数范围),在调用 workbench_image_generate 前先了解可选值。",
workbench_image_generate: "在生图工作台填入提示词并按需设置 model、quality、size(如 1:1 或 1024x1024)、countrun 默认 true 会自动点击生成按钮。会自动跳转到生图工作台。生成为异步过程,提交后返回 taskId,可用 generation_get_status 查询状态。",
workbench_video_get_config: "读取视频创作台的当前参数和可选项(可用模型、尺寸/比例、时长、清晰度/分辨率、是否生成声音与水印)。",
workbench_video_generate: "在视频创作台填入提示词并按需设置 model、size、seconds、resolution、generateAudio、watermarkrun 默认 true 会自动点击生成按钮。会自动跳转到视频创作台。生成为异步过程,提交后返回 taskId,可用 generation_get_status 查询状态。",
prompts_search: "搜索提示词库(第三方提示词合集),支持 keyword、category、tags 过滤和 page/pageSize 分页,返回标题、提示词、分类、标签、封面等。",
assets_list: "列出用户「我的素材」,支持 kindtext/image/video)过滤、keyword 搜索和 page/pageSize 分页。为控制体积不返回图片/视频原始 data,仅返回封面与元信息。",
assets_add: "向「我的素材」新增素材。kind=text 时用 content 传文本内容;kind=image 时用 imageUrl 传图片地址或 dataURL。可附带 title、tags、source、note。",
};
+26
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@@ -0,0 +1,26 @@
import { toolInputSchemas, toolNames, type ToolName } from "./schemas.js";
import type { CanvasNode, CanvasSnapshot } from "./types.js";
export function isToolName(name: unknown): name is ToolName {
return typeof name === "string" && toolNames.includes(name as ToolName);
}
export function parseToolInput(name: ToolName, input: unknown) {
return toolInputSchemas[name].parse(input ?? {});
}
export function compactCanvasState(state: CanvasSnapshot | null) {
if (!state) throw new Error("当前没有已连接画布");
return { ...state, nodes: (state.nodes || []).map(compactNode) };
}
export function compactNode(node: CanvasNode) {
const metadata = { ...(node.metadata || {}) };
if (typeof metadata.content === "string" && metadata.content.length > 240) metadata.content = `${metadata.content.slice(0, 120)}...`;
return { id: node.id, type: node.type, title: node.title, position: node.position, width: node.width, height: node.height, metadata };
}
export function nextCanvasX(state: CanvasSnapshot | null) {
const nodes = state?.nodes || [];
return nodes.length ? Math.max(...nodes.map((node) => node.position.x + node.width)) + 80 : 0;
}
+8
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@@ -0,0 +1,8 @@
export type Position = { x: number; y: number };
export type Viewport = { x: number; y: number; k: number };
export type CanvasNodeType = "image" | "text" | "config" | "video" | "audio";
export type CanvasNode = { id: string; type: CanvasNodeType; title?: string; position: Position; width: number; height: number; metadata?: Record<string, unknown> };
export type CanvasConnection = { id: string; fromNodeId: string; toNodeId: string };
export type CanvasSnapshot = { projectId?: string; title?: string; nodes?: CanvasNode[]; connections?: CanvasConnection[]; selectedNodeIds?: string[]; viewport?: Viewport; clientId?: string };
export type AgentEmit = (type: string, payload: unknown) => void;
export type AgentAttachment = { id?: string; name?: string; type?: string; size?: number; width?: number; height?: number; dataUrl?: string };
+15
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@@ -0,0 +1,15 @@
{
"compilerOptions": {
"target": "ES2022",
"module": "NodeNext",
"moduleResolution": "NodeNext",
"strict": true,
"esModuleInterop": true,
"declaration": true,
"outDir": "dist",
"rootDir": "src",
"skipLibCheck": true
},
"include": ["src/**/*.ts"],
"exclude": ["src/**/*.test.ts"]
}
-79
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@@ -1,79 +0,0 @@
package config
import (
"crypto/rand"
"encoding/base64"
"os"
"path/filepath"
"strings"
"github.com/caarlos0/env/v11"
"github.com/joho/godotenv"
)
type Config struct {
Port string `env:"PORT" envDefault:"8080"`
AdminUsername string `env:"ADMIN_USERNAME" envDefault:"admin"`
AdminPassword string `env:"ADMIN_PASSWORD" envDefault:"infinite-canvas"`
JWTSecret string `env:"JWT_SECRET" envDefault:"infinite-canvas"`
JWTExpireHours int `env:"JWT_EXPIRE_HOURS" envDefault:"168"`
StorageDriver string `env:"STORAGE_DRIVER" envDefault:"sqlite"`
DatabaseDSN string `env:"DATABASE_DSN" envDefault:"data/infinite-canvas.db"`
PublicBaseURL string `env:"PUBLIC_BASE_URL"`
LinuxDoAuthorizeURL string `env:"LINUX_DO_AUTHORIZE_URL" envDefault:"https://connect.linux.do/oauth2/authorize"`
LinuxDoTokenURL string `env:"LINUX_DO_TOKEN_URL" envDefault:"https://connect.linux.do/oauth2/token"`
LinuxDoUserInfoURL string `env:"LINUX_DO_USERINFO_URL" envDefault:"https://connect.linux.do/api/user"`
}
var Cfg Config
func Load() error {
_ = godotenv.Load()
if err := env.Parse(&Cfg); err != nil {
return err
}
normalizeDockerSQLiteDSN("/app/data")
if strings.TrimSpace(Cfg.JWTSecret) == "" || Cfg.JWTSecret == "infinite-canvas" {
secret, err := randomSecret()
if err != nil {
return err
}
Cfg.JWTSecret = secret
}
return nil
}
func normalizeDockerSQLiteDSN(appDataDir string) {
driver := strings.ToLower(strings.TrimSpace(Cfg.StorageDriver))
if driver != "" && driver != "sqlite" {
return
}
dsn := strings.TrimSpace(Cfg.DatabaseDSN)
if dsn == "" || dsn == ":memory:" || strings.HasPrefix(dsn, "file:") {
return
}
pathPart, suffix := dsn, ""
if index := strings.Index(dsn, "?"); index >= 0 {
pathPart = dsn[:index]
suffix = dsn[index:]
}
if filepath.IsAbs(pathPart) {
return
}
slashPath := filepath.ToSlash(pathPart)
if slashPath != "data" && !strings.HasPrefix(slashPath, "data/") {
return
}
if _, err := os.Stat(appDataDir); err != nil {
return
}
Cfg.DatabaseDSN = filepath.Join(filepath.Dir(appDataDir), filepath.FromSlash(slashPath)) + suffix
}
func randomSecret() (string, error) {
buf := make([]byte, 32)
if _, err := rand.Read(buf); err != nil {
return "", err
}
return base64.RawURLEncoding.EncodeToString(buf), nil
}
-33
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@@ -1,33 +0,0 @@
package config
import (
"os"
"path/filepath"
"testing"
)
func TestNormalizeDockerSQLiteDSNUsesMountedDataDir(t *testing.T) {
root := t.TempDir()
appDataDir := filepath.Join(root, "data")
if err := os.MkdirAll(appDataDir, 0755); err != nil {
t.Fatal(err)
}
Cfg = Config{StorageDriver: "sqlite", DatabaseDSN: "data/infinite-canvas.db?_pragma=busy_timeout(5000)"}
normalizeDockerSQLiteDSN(appDataDir)
want := filepath.Join(root, "data", "infinite-canvas.db") + "?_pragma=busy_timeout(5000)"
if Cfg.DatabaseDSN != want {
t.Fatalf("DatabaseDSN = %q, want %q", Cfg.DatabaseDSN, want)
}
}
func TestNormalizeDockerSQLiteDSNLeavesLocalPathWithoutMountedDataDir(t *testing.T) {
Cfg = Config{StorageDriver: "sqlite", DatabaseDSN: "data/infinite-canvas.db"}
normalizeDockerSQLiteDSN(filepath.Join(t.TempDir(), "missing-data"))
if Cfg.DatabaseDSN != "data/infinite-canvas.db" {
t.Fatalf("DatabaseDSN = %q, want relative local path", Cfg.DatabaseDSN)
}
}
-4
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@@ -4,10 +4,6 @@ services:
build: build:
context: . context: .
dockerfile: Dockerfile dockerfile: Dockerfile
env_file:
- .env
volumes:
- ./data:/app/data
ports: ports:
- "3000:3000" - "3000:3000"
restart: unless-stopped restart: unless-stopped
+4 -4
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@@ -2,10 +2,10 @@ services:
app: app:
image: ghcr.io/basketikun/infinite-canvas:latest image: ghcr.io/basketikun/infinite-canvas:latest
container_name: infinite-canvas container_name: infinite-canvas
env_file:
- .env
volumes:
- ./data:/app/data
ports: ports:
- "3000:3000" - "3000:3000"
restart: unless-stopped restart: unless-stopped
# 统计分析(可选,默认关闭)。每家一个独立变量,填了谁就启用谁,可同时启用多家:
# environment:
# ANALYTICS_GA4_ID: G-XXXXXXXXXX # Google Analytics 4 衡量 ID
# ANALYTICS_BAIDU_ID: xxxxxxxxxxxxxxxxxxxxxxxxxxxx # 百度统计站点 ID
@@ -1,24 +0,0 @@
---
title: 接口响应约定
description: 业务接口统一响应结构与前端处理约定
---
# 接口响应约定
后端业务接口统一返回 JSON
```json
{
"code": 0,
"data": {},
"msg": "ok"
}
```
- `code`: 业务状态码,`0` 表示成功,非 `0` 表示失败。
- `data`: 业务数据。失败时通常为 `null`。
- `msg`: 响应消息。成功默认为 `ok`,失败时放错误原因。
前端请求逻辑以 `code` 判断业务是否成功。当前后端业务失败也会返回 HTTP 200,前端不要只依赖 HTTP 状态码判断结果。
接口连接失败、服务不可达、返回体不是约定 JSON 时,前端按网络或接口异常处理。
@@ -1,200 +0,0 @@
---
title: 数据库说明
description: 当前后端主要数据表与字段说明
---
# 数据库说明
本文档只记录后端当前已经使用的主要数据表。
## 数据库
后端使用 GORM 管理数据库连接和表结构迁移。
支持的存储驱动:
- `sqlite`
- `mysql`
- `postgresql`
当前启动时执行 `AutoMigrate`,自动维护以下表:
- `users`
- `credit_logs`
- `prompts`
- `assets`
- `settings`
后续新增表时再同步补充本文档,未实际使用的规划表不提前写入。
### users
系统用户表。用户基础信息、角色、算力点余额和第三方登录标识放在该表中。
| 字段 | 类型 | 说明 |
| --- | --- | --- |
| `id` | string | 主键 |
| `username` | string | 用户名,唯一索引 |
| `password` | string | 密码哈希 |
| `email` | string | 邮箱 |
| `display_name` | string | 昵称 |
| `avatar_url` | string | 头像地址 |
| `role` | string | 角色:`user`、`admin` |
| `credits` | number | 算力点余额 |
| `aff_code` | string | 用户自己的邀请码,唯一索引 |
| `aff_count` | number | 已邀请用户数量,冗余统计字段 |
| `inviter_id` | string | 邀请人用户 ID |
| `github_id` | string | GitHub 用户 ID |
| `linux_do_id` | string | Linux.do 用户 ID |
| `wechat_id` | string | 微信用户 ID |
| `status` | string | 用户状态:`active`、`ban` |
| `last_login_at` | string | 最近登录时间 |
| `extra` | json | 扩展信息,第三方资料按平台命名空间保存,如 `linuxDo` |
| `created_at` | string | 创建时间 |
| `updated_at` | string | 更新时间 |
### prompts
提示词表。用于保存公开提示词、内置 GitHub 系统提示词、分类和预览内容。
| 字段 | 类型 | 说明 |
| --- | --- | --- |
| `id` | string | 主键 |
| `title` | string | 标题 |
| `cover_url` | string | 封面图 |
| `prompt` | string | 提示词内容 |
| `tags` | json | 标签列表 |
| `category` | string | 分类标识 |
| `preview` | text | Markdown 展示内容,可包含文本、图片、视频链接等 |
| `created_at` | string | 创建时间 |
| `updated_at` | string | 更新时间 |
`github_url` 仅用于接口返回,不写入数据库。
### assets
素材表。当前用于后台素材库。
| 字段 | 类型 | 说明 |
| --- | --- | --- |
| `id` | string | 主键 |
| `title` | string | 标题 |
| `type` | string | 素材类型:`text`、`image`、`video` 等 |
| `cover_url` | string | 封面图 |
| `tags` | json | 标签列表 |
| `category` | string | 分类标识 |
| `description` | string | 描述 |
| `content` | text | 文本或 Markdown 内容 |
| `url` | string | 图片、视频等媒体地址 |
| `created_at` | string | 创建时间 |
| `updated_at` | string | 更新时间 |
### settings
系统配置表,只保存两行数据:`public` 放前端可读取的公开配置,`private` 放仅后端和管理员可读取的私有配置,配置值都用 JSON。
| 字段 | 类型 | 说明 |
| --- | --- | --- |
| `key` | string | 主键:`public`、`private` |
| `value` | json | 配置内容 |
| `created_at` | string | 创建时间 |
| `updated_at` | string | 更新时间 |
`public.value` 常放前端展示和可公开读取的配置,例如模型列表、登录开关等。
`private.value` 常放渠道密钥、登录密钥、后台内部开关等。
当前系统设置接口会按后端结构体序列化和反序列化已知字段;数据库 JSON 中额外存在的旧字段会被忽略。
`public.value` 当前字段:
| 字段 | 类型 | 说明 |
| --- | --- | --- |
| `modelChannel` | object | 模型渠道公开配置组 |
| `auth` | object | 公开登录配置 |
`modelChannel` 当前字段:
| 字段 | 类型 | 说明 |
| --- | --- | --- |
| `availableModels` | string[] | 系统可用模型列表 |
| `modelCosts` | object[] | 模型算力点配置 |
| `defaultModel` | string | 默认模型 |
| `defaultImageModel` | string | 默认图片模型 |
| `defaultVideoModel` | string | 默认视频模型 |
| `defaultTextModel` | string | 默认文本模型 |
| `systemPrompt` | string | 系统提示词 |
| `allowCustomChannel` | bool | 是否允许用户自定义渠道,默认允许,关闭后前端只提供走后端渠道的模式 |
`modelCosts` 每项字段:
| 字段 | 类型 | 说明 |
| --- | --- | --- |
| `model` | string | 模型名称 |
| `credits` | number | 每次后端模型接口调用前预扣的算力点,未配置默认不扣除 |
`auth.linuxDo` 当前字段:
| 字段 | 类型 | 说明 |
| --- | --- | --- |
| `enabled` | bool | 是否开启 Linux.do 登录 |
`private.value` 当前字段:
| 字段 | 类型 | 说明 |
| --- | --- | --- |
| `channels` | object[] | 模型渠道配置列表 |
| `promptSync` | object | GitHub 远程提示词定时同步配置 |
| `auth` | object | 私有登录配置 |
`channels` 每项字段:
| 字段 | 类型 | 说明 |
| --- | --- | --- |
| `protocol` | string | 协议,当前支持 `openai` |
| `name` | string | 渠道名称 |
| `baseUrl` | string | 渠道接口地址 |
| `apiKey` | string | 渠道密钥 |
| `models` | string[] | 渠道可用模型列表 |
| `weight` | number | 渠道权重,同一模型命中多个渠道时按权重随机 |
| `enabled` | bool | 是否启用 |
| `remark` | string | 备注 |
`promptSync` 字段:
| 字段 | 类型 | 说明 |
| --- | --- | --- |
| `enabled` | bool | 是否开启定时同步,默认开启 |
| `cron` | string | Cron 表达式,默认每 5 分钟 |
`auth.linuxDo` 当前字段:
| 字段 | 类型 | 说明 |
| --- | --- | --- |
| `clientId` | string | Linux.do OAuth App Client ID |
| `clientSecret` | string | Linux.do OAuth App Client Secret,后台返回时隐藏 |
后端请求模型时,先按模型名筛选启用且包含该模型的渠道,再按 `weight` 加权随机选择一个渠道。
### credit_logs
用户算力点变更流水表。当前记录后台手动调整、模型调用预扣和模型调用失败返还。
| 字段 | 类型 | 说明 |
| --- | --- | --- |
| `id` | string | 主键 |
| `user_id` | string | 关联用户 ID |
| `type` | string | 类型:`admin_adjust`、`ai_consume`、`ai_refund` |
| `amount` | number | 本次变动数量,增加为正,扣减为负 |
| `balance` | number | 变动后的用户算力点余额 |
| `related_id` | string | 关联业务 ID,可为空 |
| `remark` | string | 备注 |
| `extra` | json | 扩展信息 |
| `created_at` | string | 创建时间 |
`type` 当前取值:
| 值 | 说明 |
| --- | --- |
| `admin_adjust` | 后台手动调整 |
| `ai_consume` | 调用后端模型接口消费 |
| `ai_refund` | 后端模型接口调用失败返还 |
@@ -1,64 +0,0 @@
---
title: 本地开发
description: 前后端分开启动时的本地开发方式
---
# 本地开发
如果你需要改代码,建议前后端分开启动。
## 1. 准备环境变量
```bash
cp .env.example .env
```
默认配置下:
- 后端端口是 `8080`
- 前端端口是 `3000`
- SQLite 数据库是 `data/infinite-canvas.db`
## 2. 启动后端
在仓库根目录执行:
```bash
go run .
```
后端会读取根目录 `.env`,并监听:
```text
http://127.0.0.1:8080
```
## 3. 启动前端
在 `web` 目录执行:
```bash
bun run dev
```
前端默认访问:
```text
http://localhost:3000
```
开发代理默认转发到 `http://127.0.0.1:8080`。如果你的后端端口不同,启动前设置 `API_BASE_URL`。
## 4. 启动文档站
如果需要单独调整文档站,在 `docs` 目录执行:
```bash
bun run dev
```
## 常见场景
- 改画布、页面和交互:主要看 `web/`
- 改接口、业务逻辑和数据库:主要看仓库根目录下的 Go 代码
- 改文档站内容:主要看 `docs/content/docs/`
@@ -1,127 +0,0 @@
---
title: 系统配置数据结构
description: settings 表中 public 和 private 配置结构说明
---
# 系统配置数据结构
系统配置保存在 `settings` 表中,目前只使用两行:
| key | 说明 |
| --- | --- |
| `public` | 公开配置,前端可以读取 |
| `private` | 私有配置,只给后端和管理员使用 |
## public.value
```json
{
"modelChannel": {
"availableModels": ["gpt-5.5", "gpt-image-2"],
"modelCosts": [
{ "model": "gpt-5.5", "credits": 1 },
{ "model": "gpt-image-2", "credits": 10 }
],
"defaultModel": "gpt-image-2",
"defaultImageModel": "gpt-image-2",
"defaultTextModel": "gpt-5.5",
"systemPrompt": "",
"allowCustomChannel": true
},
"auth": {
"allowRegister": true,
"linuxDo": {
"enabled": false
}
}
}
```
| 字段 | 类型 | 说明 |
| --- | --- | --- |
| `modelChannel` | object | 模型渠道公开配置组 |
| `auth` | object | 认证相关公开配置 |
`modelChannel` 字段:
| 字段 | 类型 | 说明 |
| --- | --- | --- |
| `availableModels` | string[] | 系统可用模型;保存设置时会自动合并所有已启用私有渠道的模型 |
| `modelCosts` | object[] | 模型算力点配置,后端模型接口调用前按模型预扣,上游失败时返还;未配置默认不扣除 |
| `defaultModel` | string | 默认模型,从 `availableModels` 中选择;为空或失效时优先选择文本模型 |
| `defaultImageModel` | string | 默认图片模型,从 `availableModels` 中选择;为空或失效时优先选择 `seedream`、`image`、`gpt-image` 模型 |
| `defaultVideoModel` | string | 默认视频模型,从 `availableModels` 中选择;为空或失效时优先选择 `seedance`、`video` 模型 |
| `defaultTextModel` | string | 默认文本模型,从 `availableModels` 中选择;为空或失效时优先选择非图片/视频模型 |
| `systemPrompt` | string | 系统提示词 |
| `allowCustomChannel` | boolean | 是否允许用户在配置弹窗中切换为本地直连渠道,默认允许 |
`modelCosts` 每项字段:
| 字段 | 类型 | 说明 |
| --- | --- | --- |
| `model` | string | 模型名称 |
| `credits` | number | 每次后端模型接口调用前预扣的算力点 |
用户侧请求模式:
| 模式 | 说明 |
| --- | --- |
| 云端渠道 | 使用后端 `/api/v1/*` 代理接口,请求会按模型名匹配 `private.value.channels` 中的可用渠道 |
| 本地直连 | 默认可选;`allowCustomChannel` 关闭后不可选,用户在浏览器本地配置 `baseUrl`、`apiKey` 和模型列表后直接请求模型接口 |
`auth` 字段:
| 字段 | 类型 | 说明 |
| --- | --- | --- |
| `allowRegister` | boolean | 是否允许用户注册,默认允许;关闭后注册入口隐藏,注册接口拒绝新用户创建 |
| `linuxDo.enabled` | boolean | 是否开启 Linux.do 登录 |
## private.value
```json
{
"channels": [
{
"protocol": "openai",
"name": "默认渠道",
"baseUrl": "https://api.example.com",
"apiKey": "sk-xxx",
"models": ["gpt-5.5", "gpt-image-2"],
"weight": 1,
"enabled": true,
"remark": ""
}
],
"promptSync": {
"enabled": true,
"cron": "*/5 * * * *"
}
}
```
| 字段 | 类型 | 说明 |
| --- | --- | --- |
| `channels` | object[] | 模型渠道列表 |
| `promptSync` | object | GitHub 远程提示词定时同步配置 |
`channels` 每项字段:
| 字段 | 类型 | 说明 |
| --- | --- | --- |
| `protocol` | string | 协议,当前为 `openai` |
| `name` | string | 渠道名称 |
| `baseUrl` | string | OpenAI 兼容接口地址 |
| `apiKey` | string | 渠道密钥 |
| `models` | string[] | 该渠道可用模型 |
| `weight` | number | 渠道权重;同一模型有多个可用渠道时按权重随机 |
| `enabled` | boolean | 是否启用 |
| `remark` | string | 备注 |
后端调用模型时,会从已启用、已配置 `baseUrl` 和 `apiKey`、且 `models` 包含目标模型的渠道中选择一个。
`promptSync` 字段:
| 字段 | 类型 | 说明 |
| --- | --- | --- |
| `enabled` | boolean | 是否开启定时同步,默认开启 |
| `cron` | string | Cron 表达式,默认每 5 分钟 |
+22
View File
@@ -0,0 +1,22 @@
---
title: 贡献者协议
description: 贡献代码、文档或素材前需要了解的 CLA
---
# 贡献者协议
Contributor License Agreement,见 [CLA.md](https://github.com/basketikun/infinite-canvas/blob/main/CLA.md)。
向本仓库提交 Pull Request、补丁、文档、素材或其他贡献,即表示你同意该协议。维护者也可能要求你在 PR 中明确回复:
```text
I have read and agree to CLA.md.
```
## 贡献前请确认
- 你有权提交相关代码、文档或素材。
- 第三方内容已明确标注来源,并且授权方式与本项目兼容。
- 提交内容可以随项目以 AGPL-3.0 以及项目相关商业授权方式发布。
- 安全漏洞不要通过公开 Issue 直接披露细节,请按[漏洞提交](/docs/support/security)流程处理。
+1
View File
@@ -4,6 +4,7 @@
"defaultOpen": true, "defaultOpen": true,
"pages": [ "pages": [
"license", "license",
"cla",
"business" "business"
] ]
} }
@@ -24,6 +24,7 @@ description: 当前画布节点的主要用途与操作流程
- 当文本节点为空时,输入框用于填写想生成的文本内容;点击发送后,结果会回填到当前文本节点。 - 当文本节点为空时,输入框用于填写想生成的文本内容;点击发送后,结果会回填到当前文本节点。
- 当文本节点已有内容时,输入框用于填写想把本段文本修改成什么;点击发送后,会在右侧生成新的文本节点,并自动连接原节点和新节点。 - 当文本节点已有内容时,输入框用于填写想把本段文本修改成什么;点击发送后,会在右侧生成新的文本节点,并自动连接原节点和新节点。
- 输入内容可以手写,也可以从提示词库选择。 - 输入内容可以手写,也可以从提示词库选择。
- 输入框支持 `@` 引用已连接的图片、文本、视频、音频资源;`@` 引用图片时会在输入框内直接显示真实缩略图,发送时按当前连接自动编号交给模型。因此不需要再记忆「图片1 / 文本1」编号,画布节点右上角也不再显示资源角标。
- 对话框里的模型下拉来自全局配置里已拉取的模型列表;选择结果只作用于当前节点,不会修改其它节点或全局默认模型。 - 对话框里的模型下拉来自全局配置里已拉取的模型列表;选择结果只作用于当前节点,不会修改其它节点或全局默认模型。
- 如果下拉中没有模型,需要先打开配置弹窗拉取模型列表,并设置默认生图模型和默认文本模型。火山方舟 Agent Plan 若提示不支持 `/models`,请手动填写模型名。 - 如果下拉中没有模型,需要先打开配置弹窗拉取模型列表,并设置默认生图模型和默认文本模型。火山方舟 Agent Plan 若提示不支持 `/models`,请手动填写模型名。
@@ -53,8 +54,8 @@ description: 当前画布节点的主要用途与操作流程
- 生成配置节点的视频模式会读取上游文本作为 prompt,读取上游图片作为参考图,读取上游视频作为参考视频,并在输入预览里显示参考视频。 - 生成配置节点的视频模式会读取上游文本作为 prompt,读取上游图片作为参考图,读取上游视频作为参考视频,并在输入预览里显示参考视频。
- 视频生成接口支持 OpenAI 风格的 `POST /v1/videos`、`GET /v1/videos/{id}` 和 `GET /v1/videos/{id}/content`。 - 视频生成接口支持 OpenAI 风格的 `POST /v1/videos`、`GET /v1/videos/{id}` 和 `GET /v1/videos/{id}/content`。
- 使用火山方舟 Agent Plan / Seedance 2.0 时,Base URL 配置为 `https://ark.cn-beijing.volces.com/api/plan/v3`,模型名使用 Seedance 2.0 对应模型;系统会改用 `POST /contents/generations/tasks` 创建异步任务,并轮询 `GET /contents/generations/tasks/{id}`。 - 使用火山方舟 Agent Plan / Seedance 2.0 时,Base URL 配置为 `https://ark.cn-beijing.volces.com/api/plan/v3`,模型名使用 Seedance 2.0 对应模型;系统会改用 `POST /contents/generations/tasks` 创建异步任务,并轮询 `GET /contents/generations/tasks/{id}`。
- Agent Plan 专属 `/api/plan/v3` 当前未提供 OpenAI `/models` 模型列表接口,后台不会伪造模型列表;请手动填写 `doubao-seedance-2.0` 或文档列出的其他可用模型。 - Agent Plan 专属 `/api/plan/v3` 当前未提供 OpenAI `/models` 模型列表接口,配置弹窗不会伪造模型列表;请手动填写 `doubao-seedance-2.0` 或文档列出的其他可用模型。
- Seedance 参考视频必须是公网可访问 URL,或由本项目后端在配置 `PUBLIC_BASE_URL` 后上传并暴露的参考素材 URL。本地/内网地址无法被火山服务器拉取 - Seedance 参考视频更建议使用公网可访问 URL;本地素材由前端读取后传给兼容接口,是否可用取决于具体上游
### 推荐流程 ### 推荐流程
@@ -34,7 +34,7 @@ description: 画布常用鼠标与键盘操作说明
- 拖入图片文件:上传图片到画布。 - 拖入图片文件:上传图片到画布。
- 导入图片按钮:从本地选择图片。 - 导入图片按钮:从本地选择图片。
- 素材库或我的素材:选择素材后插入画布。 - 我的素材:选择素材后插入画布。
## 撤销和重做范围 ## 撤销和重做范围
@@ -5,7 +5,7 @@ description: 画布本地存储、节点结构、媒体文件与清理机制
# 画布数据结构 # 画布数据结构
本文档说明当前画布在前端本地保存的数据结构、图片文件的存储和清理方式,以及后续接入后端存储时建议保持的兼容边界 本文档说明当前画布在前端本地保存的数据结构、图片文件的存储和清理方式。
## 当前存储位置 ## 当前存储位置
@@ -0,0 +1,173 @@
---
title: 本地 Codex 连接画布原理
description: 说明 Canvas Agent、MCP、SSE 和浏览器画布之间如何交互
---
# 本地 Codex 连接画布原理
本地 Codex 连接画布的核心不是让 Codex 直接控制浏览器,也不是模拟鼠标点击或操作 DOM,而是在用户电脑上运行一个 `Canvas Agent` 作为桥接服务。
```txt
Codex / 浏览器侧边栏
|
v
本机 Canvas Agent
|
v
浏览器画布 React 状态
```
真正的画布数据仍然在浏览器里,节点、连线、选区和视口都由前端 React 状态维护。Codex 只能通过 `Canvas Agent` 暴露的工具协议发出“读取画布”或“执行画布操作”的请求。
## 两个使用方向
### 1. 本地 Codex 主动连接画布
这个方向的入口在 Codex。
```txt
本地 Codex
-> infinite-canvas MCP 工具
-> 本机 Canvas Agent
-> 浏览器画布
```
用户在本地 Codex 里发起请求,例如读取画布、创建文本节点、连接节点或触发生成。Codex 调用 `infinite-canvas` MCP 工具,MCP 工具再请求本机 `Canvas Agent` 的 `/api/tools` 接口。
常见工具包括:
- `canvas_get_state`:读取当前画布摘要。
- `canvas_get_selection`:读取当前选区。
- `canvas_apply_ops`:批量执行画布操作。
- `canvas_create_text_node`:创建文本节点。
- `canvas_generate_image` / `canvas_generate_text`:创建生成流程并触发生成。
- `canvas_update_node` / `canvas_connect_nodes`:更新节点或连接节点。
这条链路适合在 Codex 对话里直接让 Codex 操作当前打开的画布。
### 2. 浏览器右侧面板主动打开 Codex
这个方向的入口在浏览器。
```txt
浏览器右侧 Codex 面板
-> 本机 Canvas Agent
-> Codex app-server --stdio
-> infinite-canvas MCP 工具
-> 本机 Canvas Agent
-> 浏览器画布
```
用户在网页右侧面板输入提示词后,浏览器把请求发送到 `Canvas Agent` 的 `/agent/codex/turn` 接口。`Canvas Agent` 会在本机启动或复用 `codex app-server --stdio`,并给这个 Codex 会话注入同一套 `infinite-canvas` MCP 工具。
所以即使入口在浏览器右侧面板,真正改动画布时仍然会回到同一条工具链路:
```txt
Codex -> MCP -> Canvas Agent -> 浏览器画布
```
右侧面板只是把“打开 Codex 会话、发送 prompt、展示流式事件”这件事搬到了网页里。
## 浏览器和 Canvas Agent 如何连接
`Canvas Agent` 默认监听本机地址:
```txt
http://127.0.0.1:17371
```
启动后会生成 `Connect token`,网页连接时必须携带 token。浏览器连接后会建立一条 SSE 长连接:
```txt
GET /events?token=xxx&clientId=xxx
```
连接成功后,`Canvas Agent` 会发送 `hello` 事件,浏览器把状态更新为已连接。
## 画布状态如何同步给 Codex
浏览器会把当前画布快照主动同步给 `Canvas Agent`
```txt
POST /canvas/state?token=xxx&clientId=xxx
```
快照包含:
- 当前画布 ID 和标题;
- 节点列表;
- 连线列表;
- 当前选中的节点 ID
- 当前视口位置和缩放。
`Canvas Agent` 把最近一次快照保存在内存里。Codex 调用 `canvas_get_state` 时,读取的是这份由浏览器同步过来的最新快照,而不是直接读取浏览器 DOM。
## Codex 如何操作画布
以创建文本节点为例,流程如下:
```txt
Codex 调 canvas_create_text_node
-> MCP POST /api/tools
-> Canvas Agent 转成 canvas_apply_ops
-> Canvas Agent 通过 SSE 发送 tool_call
-> 浏览器执行 add_node
-> 浏览器 POST /canvas/result
-> Canvas Agent 返回结果给 Codex
```
`Canvas Agent` 会把一些高级工具转换成统一的画布操作:
```json
{
"ops": [
{
"type": "add_node",
"nodeType": "text",
"metadata": {
"content": "文本内容",
"status": "success"
}
}
]
}
```
浏览器收到 `tool_call` 后,调用前端的 `applyCanvasAgentOps`,在 React 状态中执行 `add_node`、`update_node`、`delete_node`、`connect_nodes`、`set_viewport`、`select_nodes` 等操作。执行完成后再把结果通过 `/canvas/result` 回传给 `Canvas Agent`。
## 工具确认和撤销
为了避免 Codex 直接改动画布,浏览器侧对 `canvas_apply_ops` 默认有二次确认机制。收到写操作后,右侧面板会先展示待执行工具调用,用户确认后才真正应用到画布。
执行后,前端会保存最近一次操作前的画布快照,用于撤销上一轮 Agent 工具操作。
如果关闭工具确认,本地 Codex 可以直接执行画布工具调用,但仍然是通过同一套 `Canvas Agent -> SSE -> 浏览器执行` 的链路。
## 安全边界
- `Canvas Agent` 默认只监听 `127.0.0.1`。
- 网页连接必须携带本机生成的 `Connect token`。
- 第一次带正确 token 连接后,`Canvas Agent` 会记录网页 Origin,避免其他来源复用当前本机 Agent。
- Codex 不直接访问浏览器 DOM,也不直接持有画布内部状态。
- 线上网页不保存本机 Codex 登录态、API Key 或本地文件权限。
- 画布写操作最终由浏览器前端执行,因此可以在前端做确认、撤销和权限控制。
## 一句话总结
本地 Codex 连接画布的本质是:
```txt
Codex 调 MCP 工具,Canvas Agent 做本机桥接,浏览器通过 SSE 接收工具调用并在 React 状态中真正修改画布。
```
读状态是:
```txt
浏览器快照 -> Canvas Agent 内存 -> MCP 工具 -> Codex
```
写操作是:
```txt
Codex -> MCP 工具 -> Canvas Agent -> SSE tool_call -> 浏览器 applyOps -> /canvas/result -> Codex
```
@@ -0,0 +1,40 @@
---
title: 本地开发
description: 前端优先的本地开发方式
---
# 本地开发
当前主应用以 `web/` 前端为主,AI 请求由浏览器前台直连用户自己的 OpenAI 兼容接口。
## 1. 启动前端
```bash
cd web
bun install
bun run dev
```
前端默认访问:
```text
http://localhost:3000
```
## 2. 配置模型
打开右上角配置弹窗,填写自己的 `Base URL`、`API Key` 和模型名。第三方提示词和 WebDAV 都由浏览器前端直连。
## 3. 启动文档站
如果需要单独调整文档站,在 `docs` 目录执行:
```bash
bun run dev
```
## 常见场景
- 改画布、页面和交互:主要看 `web/`
- 改提示词缓存:主要看 `web/src/services/api/prompts.ts`
- 改文档站内容:主要看 `docs/content/docs/`
@@ -4,9 +4,7 @@
"defaultOpen": true, "defaultOpen": true,
"pages": [ "pages": [
"local-development", "local-development",
"api-response", "canvas-data-structure",
"system-settings", "local-codex-canvas"
"backend-database",
"canvas-data-structure"
] ]
} }
+1 -1
View File
@@ -4,7 +4,7 @@
"pages": [ "pages": [
"overview", "overview",
"canvas", "canvas",
"backend", "development",
"progress", "progress",
"business", "business",
"support" "support"
@@ -0,0 +1,140 @@
---
title: Codex App 插件
description: 在 Codex App 中安装并使用 Infinite Canvas 插件
---
# Codex App 插件
Infinite Canvas 提供了一个 Codex App 插件,用来把 Codex 和本地 Canvas Agent 连接起来。安装后,你可以直接在 Codex 中说“打开 Infinite Canvas”,让 Codex 打开画布、读取节点、创建节点并触发生成流程。
插件源码位于仓库的 `plugins/infinite-canvas/` 目录。
## 安装方式
### 让 Codex 自动安装
把下面这段发给 Codex
```text
请从 https://github.com/basketikun/infinite-canvas.git 安装 Infinite Canvas Codex 插件。
请 clone 仓库到 ~/plugins/infinite-canvas,确认 plugins/infinite-canvas/.codex-plugin/plugin.json 存在,
把 plugins/infinite-canvas 加入 personal marketplace,先运行 codex plugin marketplace add ~
再运行 codex plugin add infinite-canvas@personal。
安装后请校验插件,并告诉我是否需要开启一个新对话来加载新技能和 MCP 工具。
```
这种方式适合不想手动改 marketplace 配置的用户。Codex 会完成 clone、写入 marketplace、安装插件和基础校验。
### 手动安装
推荐把仓库 clone 到 Codex personal marketplace 默认会引用的位置:
```bash
mkdir -p ~/plugins
git clone https://github.com/basketikun/infinite-canvas.git ~/plugins/infinite-canvas
```
确保 `~/.agents/plugins/marketplace.json` 中有 Infinite Canvas 条目。这里的 `path` 要指向仓库里的插件子目录:
```json
{
"name": "personal",
"interface": {
"displayName": "Personal"
},
"plugins": [
{
"name": "infinite-canvas",
"source": {
"source": "local",
"path": "./plugins/infinite-canvas/plugins/infinite-canvas"
},
"policy": {
"installation": "AVAILABLE",
"authentication": "ON_INSTALL"
},
"category": "Productivity"
}
]
}
```
然后注册 personal marketplace 并安装插件:
```bash
codex plugin marketplace add ~
codex plugin add infinite-canvas@personal
```
安装完成后,建议新建一个 Codex 对话,让新的 skill 和 MCP 工具完整加载。
### 本仓库开发调试安装
如果你正在 Infinite Canvas 仓库中开发插件,可以直接使用仓库自带的 marketplace
```bash
cd /path/to/infinite-canvas
codex plugin marketplace add "$(pwd)"
codex plugin add infinite-canvas@infinite-canvas-local
```
仓库内的 `.agents/plugins/marketplace.json` 已经指向 `./plugins/infinite-canvas`,适合开发者本地调试。
## 使用插件
新建 Codex 对话后,可以直接说:
```text
打开 Infinite Canvas 新建画布 并连接好Codex
```
插件会启动本地 Canvas Agent,读取连接地址和 token,然后在右侧打开 `https://canvas.best/` 并自动新建、连接画布。只有明确要求使用本地项目时,插件才会启动本地前端。
画布打开后可以继续让 Codex 操作画布:
```text
读取当前画布并总结节点结构
根据选中节点创建一组生图提示词
把这些节点整理成一个生成流程
```
## 更新插件
普通业务代码变更通常不需要更新插件。只有改了下面这些内容时,才建议重新安装或刷新插件:
- `plugins/infinite-canvas/.codex-plugin/plugin.json`
- `plugins/infinite-canvas/.mcp.json`
- `plugins/infinite-canvas/skills/` 下的技能说明
- 插件暴露的 MCP、app 或入口脚本
重新安装后建议开启新对话,避免旧对话继续使用缓存中的技能和 MCP 工具。
## 手动排查
插件默认通过下面的 MCP 命令启动 Canvas Agent
```bash
npx -y @basketikun/canvas-agent mcp
```
如果需要手动排查,先启动画布:
```bash
cd web
bun install
bun run dev
```
然后启动本地 Agent
```bash
npx -y @basketikun/canvas-agent
```
从 Agent 输出或 `http://127.0.0.1:17371/config` 读取本地地址和 token 后,打开:
```text
<画布网页地址>/canvas?mode=new&agentUrl=<Local URL>&agentToken=<Connect token>
```
`mode=new` 会让网页自动创建具体画布并连接本地 Agent,不需要手动点击“新建画布”。
+37 -15
View File
@@ -12,7 +12,6 @@ description: 使用 Docker Compose 部署无限画布
```bash ```bash
git clone git@github.com:basketikun/infinite-canvas.git git clone git@github.com:basketikun/infinite-canvas.git
cd infinite-canvas cd infinite-canvas
cp .env.example .env
docker compose up -d docker compose up -d
``` ```
@@ -22,19 +21,11 @@ docker compose up -d
http://localhost:3000 http://localhost:3000
``` ```
默认管理员账号:
```text
用户名:admin
密码:.env 中的 ADMIN_PASSWORD
```
## 本地构建镜像 ## 本地构建镜像
如果需要基于当前源码构建镜像: 如果需要基于当前源码构建镜像:
```bash ```bash
cp .env.example .env
docker compose -f docker-compose.local.yml up -d --build docker compose -f docker-compose.local.yml up -d --build
``` ```
@@ -56,14 +47,45 @@ cd docs
docker compose -f docker-compose.local.yml up -d --build docker compose -f docker-compose.local.yml up -d --build
``` ```
## 数据目录 ## 数据说明
`docker-compose.yml` 会把本地 `./data` 挂载到容器内 `/app/data`,用于保存 SQLite 数据库、提示词数据和上传素材 当前主应用镜像只启动 Next.js。画布、我的素材、生成记录和 AI API Key 默认保存在浏览器本地;第三方提示词由浏览器前端直连拉取,不需要额外挂载数据目录
Docker 部署时建议把 `.env` 中的 SQLite 路径设置为: ## 统计分析(可选)
```text 项目**默认不接入任何统计**:不设置下列环境变量时,页面不会加载任何统计脚本,也不会发送任何外部请求。你在自己的部署上想查看流量时,设置对应环境变量即可,无需修改代码或重新构建镜像——镜像启动时会据此生成运行期配置。
DATABASE_DSN=/app/data/infinite-canvas.db
统计按「每家一个独立变量」配置:**填了谁就启用谁,可同时启用多家**(例如 GA4 + 百度一起开)。仅支持 GA4 与百度,两者都只接受 ID,脚本地址由代码固定拼接,不接受任意脚本地址或内联 JS。
| 变量 | 说明 |
| --- | --- |
| `ANALYTICS_GA4_ID` | Google Analytics 4 衡量 ID`G-XXXX` |
| `ANALYTICS_BAIDU_ID` | 百度统计站点 ID`hm.js?` 后面那串 hash |
在 `docker-compose.yml` 的 `environment` 中配置(文件内已附注释示例),下例同时启用 GA4 与百度:
```yaml
services:
app:
image: ghcr.io/basketikun/infinite-canvas:latest
ports:
- "3000:3000"
environment:
ANALYTICS_GA4_ID: G-XXXXXXXXXX
ANALYTICS_BAIDU_ID: e8263761cc5c32f5f7a855b8203b965a
``` ```
如果需要让火山方舟拉取本地上传的 Seedance 参考素材,还需要把 `PUBLIC_BASE_URL` 设置为公网可访问的站点地址。 或使用 `docker run`
```bash
docker run -d -p 3000:3000 \
-e ANALYTICS_GA4_ID=G-XXXXXXXXXX \
-e ANALYTICS_BAIDU_ID=e8263761cc5c32f5f7a855b8203b965a \
ghcr.io/basketikun/infinite-canvas:latest
```
单页应用的路由切换会自动向所有已启用的统计上报 pageview。
<Callout type="warn">
请只在你自己的站点上配置统计 ID,不要把 ID 提交进仓库;fork 或自托管本项目的用户默认不会产生任何统计。
</Callout>
+30 -49
View File
@@ -30,7 +30,7 @@ description: 当前项目已实现的主要功能
目前画布中有三类节点: 目前画布中有三类节点:
- 图片节点:展示上传图片、生成图片或素材图片。 - 图片节点:展示上传图片、生成图片或我的素材图片。
- 文本节点:保存提示词、说明文案、AI 文字回答等文本内容。 - 文本节点:保存提示词、说明文案、AI 文字回答等文本内容。
- 生成配置节点:汇总上游文本和图片,统一配置模型、比例、数量后批量生成图片或文本。 - 生成配置节点:汇总上游文本和图片,统一配置模型、比例、数量后批量生成图片或文本。
@@ -57,16 +57,13 @@ description: 当前项目已实现的主要功能
## AI 生成 ## AI 生成
项目支持两种 AI 调用方式: 项目默认使用前台直连:前端使用浏览器本地配置的 Base URL、API Key 和 Model 直接请求 OpenAI 兼容接口,不再通过项目服务端转发 AI 请求。
- 本地直连:前端使用本地配置的 Base URL、API Key 和 Model 直接请求 OpenAI 兼容接口。
- 后台渠道:前端请求本项目后端 `/api/v1/*` 代理接口,后端按模型选择管理后台配置的渠道。
OpenAI 兼容图像和文本能力继续复用现有接口: OpenAI 兼容图像和文本能力继续复用现有接口:
- `/v1/images/generations`:文生图。 - `/v1/images/generations`:文生图。
- `/v1/images/edits`:图生图/参考图编辑。 - `/v1/images/edits`:图生图/参考图编辑。
- `/v1/chat/completions`:文本问答带图问答。 - `/v1/responses`:文本问答带图问答和在线 Agent 工具调用
- `/v1/models`:读取模型列表;火山方舟 Agent Plan 专属 `/api/plan/v3` 当前未提供 OpenAI `/models` 模型列表接口,需要手动填写模型名。 - `/v1/models`:读取模型列表;火山方舟 Agent Plan 专属 `/api/plan/v3` 当前未提供 OpenAI `/models` 模型列表接口,需要手动填写模型名。
视频能力支持两类接口: 视频能力支持两类接口:
@@ -76,7 +73,7 @@ OpenAI 兼容图像和文本能力继续复用现有接口:
Base URL 如果已经以 `/v1`、`/api/v3` 或 `/api/plan/v3` 结尾,系统不会再追加 `/v1`。因此 cpa 反代或火山方舟 Agent Plan 可以继续通过现有 Base URL + API Key + Model 方式配置,不需要新增火山生图 Provider。 Base URL 如果已经以 `/v1`、`/api/v3` 或 `/api/plan/v3` 结尾,系统不会再追加 `/v1`。因此 cpa 反代或火山方舟 Agent Plan 可以继续通过现有 Base URL + API Key + Model 方式配置,不需要新增火山生图 Provider。
后台“拉取模型列表”会尝试真实请求 OpenAI `/models`,不会为 Agent Plan 伪造模型结果。如果火山方舟 Agent Plan 返回 404,请手动增加 `doubao-seedance-2.0` 或文档列出的其他模型名。 配置弹窗里的“拉取模型列表”会尝试真实请求 OpenAI `/models`,不会为 Agent Plan 伪造模型结果。如果火山方舟 Agent Plan 返回 404,请手动增加 `doubao-seedance-2.0` 或文档列出的其他模型名。
可配置项: 可配置项:
@@ -88,10 +85,13 @@ Base URL 如果已经以 `/v1`、`/api/v3` 或 `/api/plan/v3` 结尾,系统不
- 生成数量。 - 生成数量。
- 视频模型。 - 视频模型。
- 视频比例、清晰度、时长、生成声音和水印。 - 视频比例、清晰度、时长、生成声音和水印。
- 自定义生图 / 视频接口的调用方式,灵活适配不同中转站与自建服务。
普通图片/文本节点可以直接输入提示词生成结果。生成配置节点可以读取上游节点内容,并按节点自己的配置批量生成多个图片或文本结果。生成配置节点支持预览当前提示词和参考图输入,并调整输入顺序。 普通图片/文本节点可以直接输入提示词生成结果。生成配置节点可以读取上游节点内容,并按节点自己的配置批量生成多个图片或文本结果。生成配置节点支持预览当前提示词和参考图输入,并调整输入顺序。
视频生成可从文本节点读取 prompt,从图片节点读取参考图,从视频节点读取参考视频,从音频节点读取参考音频。Seedance 2.0 支持最多 9 张参考图、3 个参考视频、3 个参考音频;分辨率支持 `480p`、`720p`、`1080p`fast 模型不支持 `1080p`),比例支持 `16:9`、`4:3`、`1:1`、`3:4`、`9:16`、`21:9`、`adaptive`,时长支持 4-15 秒或智能时长。生成成功后会把视频插入画布为视频节点并使用原生播放器预览。Seedance 参考视频和参考音频需要公网可访问 URL;本地上传素材会先通过 `/api/v1/media/references` 保存到服务端,再由 `PUBLIC_BASE_URL` 生成可供火山服务器拉取的公开链接 节点下方对话框和组装提示词输入框都支持 `@` 引用已连接的图片、文本、视频、音频等资源;`@` 引用图片时,输入框内会直接显示该图片的真实缩略图,而不再是「图片1」这类文字编号,发送时会按当前连接自动编号交给模型理解。由于引用改在对话框内直接 `@`,画布节点右上角不再显示「图片1 / 文本1」资源角标
视频生成可从文本节点读取 prompt,从图片节点读取参考图,从视频节点读取参考视频,从音频节点读取参考音频。Seedance 2.0 支持最多 9 张参考图、3 个参考视频、3 个参考音频;分辨率支持 `480p`、`720p`、`1080p`fast 模型不支持 `1080p`),比例支持 `16:9`、`4:3`、`1:1`、`3:4`、`9:16`、`21:9`、`adaptive`,时长支持 4-15 秒或智能时长。生成成功后会把视频插入画布为视频节点并使用原生播放器预览。参考视频和参考音频优先使用公网可访问 URL;本地素材会以前端可读取的数据传给兼容接口,是否支持取决于具体上游。
## 画布助手 ## 画布助手
@@ -109,6 +109,18 @@ Base URL 如果已经以 `/v1`、`/api/v3` 或 `/api/plan/v3` 结尾,系统不
- 把助手生成的图片插入画布。 - 把助手生成的图片插入画布。
- 折叠和展开助手面板。 - 折叠和展开助手面板。
## 节点插件系统
画布支持通过节点插件扩展新的节点类型,内置节点之外的能力都可以以插件形式加载:
- 支持通过 URL 动态安装、启用、更新和卸载远程节点插件。
- 提供官方插件注册表,节点插件面板可从项目仓库读取官方插件列表并一键安装。
- 提供 TypeScript 插件开发 SDK,可自行开发画布节点插件,并使用 AI 生成、面板控制等扩展能力。
- 内置 Markdown、SVG、HTML、3D 全景、便利贴等示例插件。
- 插件面板会显示插件版本,并对可升级的插件给出提醒。
Codex App 插件的安装与使用见 [Codex App 插件](/docs/overview/codex-app-plugin)。
## 提示词库 ## 提示词库
前台提示词库支持: 前台提示词库支持:
@@ -121,15 +133,14 @@ Base URL 如果已经以 `/v1`、`/api/v3` 或 `/api/plan/v3` 结尾,系统不
- 复制提示词。 - 复制提示词。
- 把提示词加入“我的素材”。 - 把提示词加入“我的素材”。
后台提示词管理支持: 提示词管理支持:
- 查询提示词。 - 查询提示词。
- 新增、编辑、删除提示词。
- 按分组和标签筛选。 - 按分组和标签筛选。
- 查看远程提示词源。 - 查看远程提示词源。
- 同步内置远程提示词源。 - 触发读取内置远程提示词源。
当前内置远程源包括多个 GPT Image / GPT-4o / Nano Banana Pro 相关提示词仓库。 当前内置远程源包括多个 GPT Image / GPT-4o / Nano Banana Pro 相关提示词仓库,由浏览器前端直连拉取并缓存到 IndexedDB
## 素材 ## 素材
@@ -143,49 +154,19 @@ Base URL 如果已经以 `/v1`、`/api/v3` 或 `/api/plan/v3` 结尾,系统不
- 分页浏览。 - 分页浏览。
- 复制文本素材。 - 复制文本素材。
- 下载图片素材。 - 下载图片素材。
- 从提示词库画布节点和服务器素材库加入素材。 - 从提示词库画布节点加入素材。
- 在画布中插入素材。 - 在画布中插入素材。
“素材库”是服务器素材库,支持: ## 配置和同步
- 按标题搜索 - 当前版本不需要账号登录,也不再提供后台管理页面
- 按类型筛选 - 配置与用户偏好弹窗支持多个 OpenAI 兼容渠道、默认模型、生成偏好和 WebDAV 同步设置
- 按标签筛选 - 第三方提示词、WebDAV 和 AI 接口都由浏览器前端直连,不经过项目后端代理
- 查看素材详情。
- 复制文本或图片链接。
- 加入“我的素材”。
- 在画布中插入素材。
后台素材库管理支持:
- 查询素材。
- 新增、编辑、删除素材。
- 按类型和标签筛选。
## 账号和后台
- 注册功能暂时关闭。
- 仅允许管理员账号登录。
- 支持 JWT 会话。
- `/api/auth/me` 可读取当前用户,未登录时返回访客用户。
- 首次启动时可根据环境变量创建默认管理员。
- 管理员后台目前包含提示词管理和素材库管理。
- 后端已有用户管理接口,但前端暂未实现用户管理页面。
## 后端能力
- Gin 提供 API 服务。
- Docker 运行时由 Next.js 提供页面入口,`/api/*` 请求代理到内部 Go 服务。
- GORM 管理数据库连接和自动迁移。
- 支持 SQLite、MySQL、PostgreSQL。
- 数据库保存用户、提示词分组、提示词和服务器素材。
- 业务接口统一返回 `{ code, data, msg }`。
## 当前限制 ## 当前限制
- 画布项目和“我的素材”目前只保存在浏览器本地,不会随账号同步。 - 画布项目和“我的素材”目前只保存在浏览器本地,不会随账号同步。
- 本地直连模式下,AI API Key 保存在浏览器本地,并由浏览器直接请求配置的 OpenAI 兼容接口;只适合本地或个人使用,公网多人使用不安全。公网部署推荐使用后台渠道,把真实密钥保存在服务端配置中 - AI API Key 保存在浏览器本地,并由浏览器直接请求配置的 OpenAI 兼容接口;只适合个人或可信环境使用
- 服务器素材库目前主要保存 URL 或文本,暂未提供文件上传接口。 - Seedance 本地参考视频/音频更建议使用公网可访问 URL;上游是否接受前端传入的本地数据取决于具体兼容接口。
- Seedance 本地参考图/视频上传依赖 `PUBLIC_BASE_URL`,如果服务部署在 localhost、内网或不可被火山访问的地址,火山无法拉取参考素材。
- Seedance 返回远程视频 URL 时,前端会尽量下载为本地 Blob 持久化;如果因 CORS 或网络限制无法下载,会保留远程 URL,后续是否可播放取决于上游 URL 的有效期。 - Seedance 返回远程视频 URL 时,前端会尽量下载为本地 Blob 持久化;如果因 CORS 或网络限制无法下载,会保留远程 URL,后续是否可播放取决于上游 URL 的有效期。
- 画布更适合桌面端使用,移动端触控体验还未系统完善。 - 画布更适合桌面端使用,移动端触控体验还未系统完善。
+2 -1
View File
@@ -4,10 +4,11 @@
"defaultOpen": true, "defaultOpen": true,
"pages": [ "pages": [
"quick-start", "quick-start",
"codex-app-plugin",
"features", "features",
"render", "render",
"docker", "docker",
"third-party-prompt-repositories", "third-party-prompt-repositories",
"[在线体验](https://infinite-canvas-cpco.onrender.com/)" "[在线体验](https://canvas.best/)"
] ]
} }
+17 -19
View File
@@ -5,15 +5,20 @@ description: 用最少步骤把无限画布跑起来
# 快速开始 # 快速开始
如果你只是想先把项目跑起来,优先使用 Docker 如果你只是想先把项目跑起来,优先部署或启动 `web/` 前端
## Docker 启动 ## Vercel 部署
在 Vercel 中导入仓库即可,根目录 `vercel.json` 会构建 `web/`。当前版本的 AI 请求由浏览器前台直连用户自己的 OpenAI 兼容地址,不需要额外配置服务端。
## 本地启动
```bash ```bash
git clone git@github.com:basketikun/infinite-canvas.git git clone git@github.com:basketikun/infinite-canvas.git
cd infinite-canvas cd infinite-canvas
cp .env.example .env cd web
docker compose up -d bun install
bun run dev
``` ```
启动后访问: 启动后访问:
@@ -22,29 +27,22 @@ docker compose up -d
http://localhost:3000 http://localhost:3000
``` ```
默认管理员账号: ## Docker 启动
```text 如果你需要基于当前源码构建镜像:
用户名:admin
密码:.env 中的 ADMIN_PASSWORD
```
## 本地构建镜像启动
如果你需要基于当前源码本地构建镜像:
```bash ```bash
cp .env.example .env docker build -t infinite-canvas .
docker compose -f docker-compose.local.yml up -d --build docker run --rm -p 3000:3000 infinite-canvas
``` ```
## 首次使用建议 ## 首次使用建议
- 先打开右上角配置弹窗,填入自己的 `Base URL`、`API Key` 和模型名。 - 先打开右上角配置弹窗,填入自己的 `Base URL`、`API Key` 和模型名。
- 如果使用后台渠道模式,再去管理后台补充系统模型与渠道配置 - 如果需要提示词仓库内容,打开 `/prompts` 会由浏览器前端直连拉取并缓存到 IndexedDB
- 如果需要提示词仓库内容,可进入 `/admin/prompts` 拉取或同步 - 如果需要跨设备同步画布、素材和生成记录,可在配置弹窗中填写 WebDAV
## 说明 ## 说明
- 当前画布项目和“我的素材”主要保存在浏览器本地,不支持云同步 - 当前画布项目和“我的素材”主要保存在浏览器本地,WebDAV 同步需要用户自行配置
- 本地直连模式下,AI API Key 保存在浏览器本地,并由前端直接请求 OpenAI 兼容接口。 - AI API Key 保存在浏览器本地,并由前端直接请求 OpenAI 兼容接口。
+3 -13
View File
@@ -13,7 +13,7 @@ description: 使用 Render 部署无限画布
1. 点击 `Deploy to Render`。 1. 点击 `Deploy to Render`。
2. 登录 Render,并按页面提示连接 GitHub。 2. 登录 Render,并按页面提示连接 GitHub。
3. 填写 `ADMIN_PASSWORD`,然后点击确认部署。 3. 确认部署。
部署完成后,打开 Render 分配的 `.onrender.com` 域名即可访问。 部署完成后,打开 Render 分配的 `.onrender.com` 域名即可访问。
@@ -22,17 +22,7 @@ description: 使用 Render 部署无限画布
默认使用 Render 免费 Web Service 默认使用 Render 免费 Web Service
- 空闲约 15 分钟后会休眠,下次访问会自动唤醒。 - 空闲约 15 分钟后会休眠,下次访问会自动唤醒。
- 免费版本地文件不是持久化存储,SQLite 数据可能在重启、重新部署后丢失 - 当前主应用数据默认保存在浏览器本地;第三方提示词由浏览器前端直连拉取
- 适合体验和演示,不适合长期保存正式数据。 - 适合体验和演示,不适合长期保存正式数据。
如果要长期使用建议升级 Render 付费实例并挂载 Persistent Disk,或改用 PostgreSQL 长期使用建议优先部署到 Vercel,或自行配置 WebDAV 同步浏览器本地数据
## 管理员账号
默认管理员用户名:
```text
admin
```
管理员密码是在 Render 部署页面里填写的 `ADMIN_PASSWORD`。
@@ -7,7 +7,6 @@ description: 当前已接入同步逻辑的第三方提示词仓库
| 地址 | 状态 | | 地址 | 状态 |
| --- | --- | | --- | --- |
| https://github.com/EvoLinkAI/awesome-gpt-image-2-API-and-Prompts | 已实现同步逻辑 |
| https://github.com/ZeroLu/awesome-gpt-image | 已实现同步逻辑 | | https://github.com/ZeroLu/awesome-gpt-image | 已实现同步逻辑 |
| https://github.com/ImgEdify/Awesome-GPT4o-Image-Prompts | 已实现同步逻辑 | | https://github.com/ImgEdify/Awesome-GPT4o-Image-Prompts | 已实现同步逻辑 |
| https://github.com/YouMind-OpenLab/awesome-gpt-image-2 | 已实现同步逻辑 | | https://github.com/YouMind-OpenLab/awesome-gpt-image-2 | 已实现同步逻辑 |
@@ -0,0 +1,248 @@
---
title: 本地 Agent 接入规划
description: 规划通过本地 Canvas Agent、MCP 和侧边栏助手连接 Codex / Claude Code 操作画布
---
# 本地 Agent 接入规划
本文档规划个人用户在访问线上画布网页时,如何连接自己电脑上的 Codex / Claude Code,并让 Agent 通过对话和工具调用操作当前画布。
## 目标
- 用户打开线上画布后,可以启动本机服务连接当前画布。
- 用户可以在 Codex 终端里通过 MCP 操作画布。
- 用户也可以在网页侧边栏里和本地 Codex / Claude Code 对话。
- 侧边栏需要展示普通消息、流式输出、工具调用、工具结果和错误提示。
- 线上服务不保存用户本地 Codex / Claude Code 登录态、API Key 或本地文件权限。
## 核心结论
浏览器页面不能直接启动本地进程,也不应该直接控制本机 Codex / Claude Code。推荐增加一个用户本机运行的 `canvas-agent` 服务:
```txt
线上画布网页 <-> 本机 canvas-agent <-> Codex / Claude Code
|
+-> MCP Server
+-> 画布连接
```
`canvas-agent` 是本地可信边界,负责启动或连接 Codex / Claude Code、暴露 MCP 工具、维护画布连接、转发侧边栏对话事件。
## 推荐目录
后续实现时建议在项目根目录新增独立 npm 包:
```txt
canvas-agent/
package.json
tsconfig.json
src/
index.ts
config.ts
http-server.ts
canvas-session.ts
mcp-server.ts
agents.ts
schemas.ts
tools.ts
types.ts
```
原因:
- 这是用户本机运行的 Node 服务,不属于线上服务端,也不属于纯前端页面。
- 后续可以发布成 npm 包,用户通过 `npx` 或全局安装启动。
- Codex SDK、Codex MCP、Claude SDK 都更适合在本地 Node 进程中接入。
- HTTP 路由使用 ExpressMCP 协议层使用官方 `@modelcontextprotocol/sdk`,工具入参使用 `zod`,避免手写协议和松散 JSON。
## 本机启动方式
MVP 阶段优先提供 `npx`
```bash
npx -y @basketikun/canvas-agent
```
在本仓库内开发调试时可直接运行:
```bash
cd canvas-agent
npm install
npm run build
node dist/index.js
```
启动后输出:
```txt
Infinite Canvas Agent
Local URL: http://127.0.0.1:17371
Connect token: xxxxxx
```
网页侧边栏填写或自动发现 `http://127.0.0.1:17371` 和 token 后连接本机服务。
## 前端需要增加的能力
前端不直接暴露 HTTP 接口给本机服务,优先由网页主动连接本机 Canvas Agent。当前 MVP 使用 SSE 接收本机事件,HTTP POST 上报画布状态和工具结果:
```txt
网页 -> http://127.0.0.1:17371/events?token=xxx
网页 -> http://127.0.0.1:17371/canvas/state?token=xxx
网页 -> http://127.0.0.1:17371/canvas/result?token=xxx
```
前端需要提供一个画布 Agent 控制层,内部调用现有 store / hook,不直接让外部操作 React 组件:
```ts
canvasAgent.getState()
canvasAgent.getSelection()
canvasAgent.applyOps(ops)
canvasAgent.focusNodes(ids)
canvasAgent.exportSnapshot()
```
建议先支持最小操作集:
- `add_node`:新增图片、文本、音频、视频、生成配置节点。
- `update_node`:更新节点位置、尺寸、内容和配置。
- `delete_node`:删除节点。
- `connect_nodes`:连接两个节点。
- `set_viewport`:移动或缩放当前视口。
- `select_nodes`:选中节点。
工具入参应使用画布业务 JSON,不使用模拟鼠标点击或屏幕坐标自动化。
MCP 读取画布状态时默认返回摘要,不直接把完整图片、视频、音频或超长 base64 内容塞给 Agent。
## MCP 工具设计
`canvas-agent` 内置 MCP Server,让 Codex CLI 可以连接:
```txt
Codex CLI <-> canvas-agent MCP <-> 当前网页画布
```
建议首批 MCP 工具:
- `canvas_get_state`:读取当前画布节点、连线、选区和视口摘要。
- `canvas_apply_ops`:批量执行画布操作。
- `canvas_get_selection`:读取当前选中的节点。
- `canvas_export_snapshot`:导出当前画布快照,用于让 Agent 理解布局。
- `canvas_create_text_node`:快捷创建文本节点。
- `canvas_create_image_prompt_flow`:快捷创建提示词文本节点和图片生成配置节点。
用户本机 Codex 配置示例:
```bash
codex mcp add infinite-canvas -- npx -y @basketikun/canvas-agent mcp
```
本仓库调试时可使用,实际配置建议替换为本机绝对路径:
```bash
codex mcp add infinite-canvas -- node /path/to/infinite-canvas/canvas-agent/dist/index.js mcp
```
网页侧边栏助手另走 Canvas Agent 的对话通道。Canvas Agent 使用官方 `@openai/codex` CLI 的 `codex app-server --stdio` 启动并续用同一个 thread,启动时会注入 `infinite-canvas` MCP 配置并把 `default_tools_approval_mode` 设为 `approve`,避免 Codex 自己的 MCP 审批卡住侧边栏;真正修改画布前由网页侧边栏做二次确认。
侧边栏图片附件通过 HTTP 发送到本机 Canvas AgentCanvas Agent 临时写入本机文件后作为 app-server `localImage` 输入传给 Codex;MVP 会在输入区提示附件体积,单次请求体限制为 30MB。
## 侧边栏助手设计
侧边栏助手连接 `canvas-agent` 后,由 Canvas Agent 选择 Agent Adapter
```txt
Sidebar -> canvas-agent -> Codex app-server stdio
Sidebar -> canvas-agent -> Claude Code CLI / Claude Agent SDK
```
侧边栏优先展示 Codex app-server 原生结构化事件。前端只消费必要事件:
```ts
type AgentEvent =
| { type: "thread.started"; thread_id: string }
| { type: "turn.started" }
| { type: "item.started" | "item.updated" | "item.completed"; item: ThreadItem }
| { type: "turn.completed"; usage: Usage }
| { type: "turn.failed"; error: { message: string } };
```
Claude 后续接入时再单独做 Claude Adapter;当前前端默认只展示 Codex。
## Codex 接入优先级
优先使用官方 `@openai/codex` CLI 的 `codex app-server --stdio`。
- Codex app-server 会输出 `item/agentMessage/delta`Canvas Agent 转成 `item.updated` 后,前端用同一条消息做真实流式渲染。
- 图片附件使用 app-server `localImage` 输入,不手写多模态协议。
参考:
- https://github.com/openai/codex/tree/main/codex-rs/app-server
- https://developers.openai.com/codex/codex-manual.md
## Claude Code 接入优先级
Claude Code 侧当前 MVP 先调用本机 Claude Code CLI 的流式 JSON 输出,由 `canvas-agent` 统一转换事件和工具调用;后续可升级为 Claude Agent SDK。
如果希望 Claude Code 也能操作当前画布,需要给 Claude Code 配置同一个 MCP
```bash
claude mcp add --scope user --transport stdio infinite-canvas -- npx -y @basketikun/canvas-agent mcp
```
Canvas Agent 调用 Claude Code 时默认允许 `mcp__infinite-canvas__*`,避免 print 模式被工具审批卡住;真正修改画布仍由网页侧边栏确认。
参考:
- https://docs.anthropic.com/en/docs/claude-code/sdk
- https://code.claude.com/docs/en/agent-sdk/typescript
## 安全边界
- Canvas Agent 默认只监听 `127.0.0.1`。
- Canvas Agent 启动时生成 token,网页连接必须携带 token。
- Canvas Agent 只接受允许的 Origin,默认允许用户当前打开的画布域名。
- 画布操作默认先在侧边栏展示工具调用,`canvas_apply_ops` 默认需要用户确认后执行,并保留最近一次工具操作撤销入口。
- 不把 Codex / Claude 登录态、API Key、用户本地文件路径上传到线上服务。
- 线上网页只保存 Canvas Agent 地址和必要偏好,不保存本地密钥。
## 实现阶段
### 第一阶段:Codex 终端操作画布
1. 新增 `canvas-agent/` npm 包。
2. Canvas Agent 提供 SSE/HTTP 连接,网页连接并注册当前画布。
3. 前端新增 `canvasAgent` 控制层。
4. Canvas Agent 内置 MCP Server。
5. Codex 通过 MCP 调用 `canvas_get_state` 和 `canvas_apply_ops`。
### 第二阶段:网页侧边栏连接 Codex
1. 前端新增本地 Agent 侧边栏。
2. Canvas Agent 通过官方 `@openai/codex` CLI 的 `codex app-server --stdio` 接入 Codex,复用同一个 thread,注入 `infinite-canvas` MCP,并展示结构化事件流。
3. 运行日志只保留关键 Codex 事件,避免把流式中间更新刷满日志。
4. 侧边栏展示消息流、工具调用、工具结果、错误和图片附件大小提示。
### 第三阶段:接入 Claude Code
1. Canvas Agent 新增 Claude Code CLI Adapter。
2. 统一 Claude Code 的消息和工具调用事件。
3. 前端侧边栏增加 Agent 类型选择。
### 第四阶段:体验完善
1. 增加本机连接状态、重连和 token 更新。
2. 优化工具调用确认、撤销和批量工具队列体验。
3. 增加常用画布动作模板。
4. 增加 npm 发布和用户安装文档。
## MVP 验收标准
- 用户运行 `npx -y @basketikun/canvas-agent` 后,线上画布能显示已连接。
- 用户在 Codex CLI 中可以创建文本节点、移动节点、连接节点。
- 网页侧边栏能发送一条消息给本地 Codex,并展示流式回复。
- 网页侧边栏默认只展示本地 Codex,并展示结构化回复。
- 侧边栏能展示一次 `canvas_apply_ops` 工具调用和结果。
- 断开 Canvas Agent 后,网页能显示清晰的本机连接失败提示。
+2
View File
@@ -4,6 +4,8 @@
"defaultOpen": true, "defaultOpen": true,
"pages": [ "pages": [
"[更新日志](/docs/progress/changelog)", "[更新日志](/docs/progress/changelog)",
"local-agent-integration-plan",
"prompt-chip-input-plan",
"pending-test", "pending-test",
"todo" "todo"
] ]
+11 -52
View File
@@ -5,55 +5,14 @@ description: 当前版本已实现但仍需人工验证的变更项
# 待测试 # 待测试
- 视频创作台创建视频任务成功后会立即写入左侧生成记录,状态显示为“生成中”;刷新页面后会读取本地任务 ID 继续轮询,任务成功或失败后更新同一条记录,需要验证 OpenAI 视频接口和 Seedance 任务接口的刷新恢复 - 提示词来源:6 个内置来源应从 Image Prompts 统一仓库读取,更新后数量依次为 323、494、53、76、126、129;提示词仍按 6 个来源分组并可独立启用,来源内可继续按 `tags` 筛选。添加标准 JSON URL 后应能查看内容,填写非数组 JSON 或不可访问地址时应显示失败,并继续保留该来源上一次成功缓存的内容
- 修复画布文字节点编辑时双击进入编辑、全选文本出现重影和错位的问题;文字节点内容编辑框改为使用原生 textarea 文本渲染,仍保留 `@` 资源候选插入,需要验证编辑态选区、展示态文字换行和右上角“生图”按钮避让都正常 - 提示词来源界面:来源应以卡片列表展示,启用开关位于左侧,数量、同步状态和上次成功时间作为次级信息显示,查看、拉取及自定义来源编辑/删除操作使用带文字按钮;底部定时拉取区域应保持独立边框布局
- 配置弹窗新增 WebDAV 同步配置,可填写 WebDAV 地址、远程目录、用户名和密码/应用密码,并选择“前端直连”或“Next.js 转发”;远端会按 `canvas/`、`assets/`、`image-workbench/`、`video-workbench/` 四个业务目录分别写入 `manifest.json` 清单和 `files/` 媒体目录,会合并画布项目、我的素材、生图/视频生成记录和引用到的本地媒体文件,四个业务分区会并发同步,并在同步中显示读取远端、检查媒体、上传新增媒体、上传清单等阶段和文件计数进度条;WebDAV 请求会做超时提示,目录已存在但 `MKCOL` 返回 `423 Locked` 时会复查目录存在后继续同步,需要在支持 CORS 的 NAS/WebDAV 服务和不支持 CORS 的 Koofr 转发模式下验证首次上传、第二台设备拉取合并、再次同步和认证失败提示 - 我的提示词:在提示词中心切换到「我的提示词」,验证新增、编辑、删除和搜索;从提示词库保存后应出现在个人列表、画布左侧提示词面板和提示词选择弹窗中,刷新页面后数据仍保留在本地,Agent 搜索提示词时也应能查到
- 图片节点悬浮工具栏新增“切图”入口;点击后可输入行数和列数,预览切分网格,并在确认后把原图切成对应数量的图片子节点,按原图网格排列到画布右侧且自动与原图连线 - 画布提示词库:不展开任何公共来源直接搜索其中的提示词,匹配项应自动显示;点击「插入画布」后应创建正文正确且标题保持为提示词标题的文本节点
- 画布生成配置节点的“生成配置/组装提示词”改为在节点下方打开独立输入浮层;浮层支持输入 `@` 从已连接图片、文本、视频、音频中选择引用,引用会以图片缩略图或文本标记展示,图片引用可放大预览;生成时再按当前引用解析为实际素材编号,不再提供或读取输入排序 - 全站 Agent:新增 `generation_get_status` 工具,画布生成节点可按 `nodeIds` 查询,生图和视频工作台提交后会返回 `taskId` 并可查询排队、运行、成功或失败状态;需验证查询只由当前活动标签页返回
- 图片节点悬浮工具栏新增“局部编辑”入口,打开后可在图片上用画笔/擦除工具绘制遮罩区域、填写局部修改要求,并通过图片编辑接口携带同尺寸 PNG mask 生成新图片节点;结果节点会放在原图右侧并自动连线,原图保持不变 - 本地 Agent 多标签页隔离:同时打开两个不同画布并连接同一个 Agent,分别聚焦标签页后通过 MCP 读取和修改画布,操作应只落在当前聚焦页面;网页面板发起的整个 Codex turn 应固定操作发起页面,即使中途聚焦另一标签页也不能切换目标;关闭当前页面后应回退到最近聚焦且仍连接的页面,其他页面回传同一请求结果应被拒绝
- 图片节点悬浮工具栏新增“反推提示词”入口;点击后会在原图右侧创建包含反推预设提示词的文本节点,并继续创建一个已切到“文本”模式的生成配置节点,图片节点和文本节点都会自动连到该配置节点,配置节点会预填包含原图和文本节点引用的组装提示词并自动打开,用户可自行点击配置节点开始生成 - 本地 Agent 多标签页会话同步:所有标签页共享同一个站点级 Codex 活跃线程;任一页面发送消息、新建、恢复或删除会话后,其他页面应同步活跃线程和聊天记录;Agent 输出仅显示在事件所属线程,运行中不能新建、恢复、删除或再次发送任务
- 图片节点悬浮工具栏新增“复制提示词”、“放大”和“超分”入口,并在末尾增加 `...` 更多按钮;点击“复制提示词”会复制生成该图片的提示词,图片没有提示词时会提示暂无可复制内容;点击 `...` 后打开 Ant Design 风格的“自定义工具栏”弹窗,可在图片节点占位上预览悬浮工具栏,信息、删除、存素材、下载、编辑和图片工具都在同一个快捷工具列表中勾选配置,并可切换是否显示按钮文字,保存后写入本地配置;`...` 配置入口固定显示,预览工具栏下方提供常驻横向滚动控制条。“放大”可在弹窗中选择 1K/2K/4K 目标像素和高清插值、双线性、最近邻算法,按原图比例生成新图片节点,已达到的目标像素会禁用并提示无需放大,最高不超过 4K;“超分”当前只打开暂未实现弹窗 - 本地 Agent 运行状态同步:在一个标签页运行较长 Codex 任务,等待某张工具卡显示「工具完成」后再打开或刷新第二个标签页;第二个标签页应立即显示 Codex 正在运行并禁用发送,整轮结束后两个标签页同时恢复;工具卡只显示「工具完成」,整轮结束由「本轮完成」表示
- Canvas 资源节点会按当前生成上下文显示 `图片1`、`视频1`、`音频1`、`文本1` 角标;文本节点内容框和节点底部 prompt 面板输入 `@` 时应弹出已连接资源选择器,点击缩略图或文字可插入纯文本编号,并以蓝色 token 视觉高亮 - 本地 Agent 图片附件落画布:在右侧 Agent 上传参考图并要求基于商品信息创建生图流程,附件应创建为保持原比例的真实图片节点,分析提示词应创建为文本节点,二者都应连接到生成配置节点;刷新页面后参考图仍可显示并参与生成。任务中途切换到其他标签页时,附件只能写入发起任务的标签页;若发起标签页关闭,附件读取应失败且不能落入其他画布
- 文本节点连接到生成配置节点时,`@` 候选和实际生成输入应读取该生成配置节点的上游参考资源;生成配置输入统计区域应可拖动整个配置节点,预览按钮和设置控件仍保持可点击 - Agent 对话滚动:从历史或日志切回对话、恢复其他会话时应自动定位到最新消息;手动向上浏览后应显示向下箭头且新消息不强制打断阅读,点击箭头后平滑回到底部并继续跟随新消息
- 配置弹窗改为“配置与用户偏好”并放大为可滚动弹窗;本地直连支持配置生图、视频、文本、音频四类可选模型列表和默认模型,新建画布生图和配置节点会读取“画布默认生图张数”,需要验证远程渠道和本地直连模型列表都能正确显示 - Agent 消息区分:用户消息应在右侧以主题浅底气泡显示,AI 回复应在左侧保留 Agent 图标并使用开放式 Markdown 排版;长文本、多张附件、错误消息及浅色/深色主题下均应清晰且不溢出
- 画布音频节点底部生成面板改为音频提示词、音频模型下拉和 OpenAI Speech 参数设置,支持 `voice`、`response_format`、`speed`、`instructions` 并通过 `/audio/speech` 生成音频节点;需要验证本地直连和云端渠道的生成、重试、下载和刷新恢复。
- 画布左上角菜单和右上角状态栏新增“文档”入口,会使用 `NEXT_PUBLIC_DOC_URL` 配置的地址并在新标签打开文档站;需要验证登录和未登录状态下顶部入口都可见。
- 文档站搜索改为中英文混合 tokenizer,中文正文、标题和短语会按中文词、单字、二元和三元片段建立索引;需要验证 `/api/search` 和搜索弹窗能命中文档中的中文关键词。
- 文档站改为 Next.js standalone server 输出,新增 `docs/Dockerfile`、`docs/docker-compose.yml` 和 `docs/docker-compose.local.yml` 独立运行入口;需要验证文档页、搜索接口和 LLM 文本接口在文档站容器中可访问。
- 画布连线支持右键打开删除菜单;拖拽连线到目标卡片内部、连接点附近或卡片边缘外扩范围内会自动吸附并连接,拖到已有但不可连接的节点附近不会再误弹创建节点菜单。
- 外部软件可通过 URL 查询参数 `baseUrl`/`baseurl` 和 `apiKey`/`apikey` 跳转到前端;读取后会从地址栏移除这些参数,后台允许自定义渠道时会自动切到自定义渠道、填入配置并打开配置弹窗,未允许时会打开配置弹窗并提示无法导入。
- 生图工作台和画布生图会把参考图按当前顺序显示为 `图片1`、`图片2` 等编号,并在图生图请求的实际提示词中注入编号说明;需要验证 `/image` 参考图排序、画布配置节点输入顺序和画布助手参考图编号一致。
- GPT Image 生图请求会在前端把 `9:16`、`16:9` 等比例转换成合法 `WIDTHxHEIGHT` 尺寸,并在非法尺寸时直接显示中文错误,避免上游返回 `invalid_value Invalid size`。
- Docker 部署时,`DATABASE_DSN=data/infinite-canvas.db` 会在存在 `/app/data` 挂载目录时自动归一到 `/app/data/infinite-canvas.db`,需要验证后台模型配置不会再因为工作目录变为 `/app/web` 而读到空库。
- Seedance 参考视频被火山判定包含真人或隐私信息时,前端错误摘要会提示改用不含真人的视频、官方允许的模型产物或已授权的 `asset://` 素材;参考素材上传目录改为跟随 SQLite 数据目录,并补充公开素材的 HEAD 访问。
- Seedance 参考素材失败原因排查:后端会把火山上游错误摘要返回给前端;`/video` 和画布视频生成会按 `图片1/视频1/音频1` 自动编号参考素材,并在实际请求提示词中注入编号说明;参考视频会在请求前校验大小、时长、宽高、宽高比和像素总量。
- 画布项目导出改为下载 `.zip` 压缩包,包内包含 `projects.json` 和当前画布引用到的本地图片、视频文件,避免只导出 JSON 时丢失媒体内容。
- 画布库支持多选后一键导出多个画布项目,导出的压缩包可一次恢复多个项目。
- 画布项目导入改为读取新版 `.zip` 压缩包,会先按 `projects.json` 中的文件映射恢复图片、视频到本地存储,再插入画布项目,导入成功后仍停留在画布库。
- 修复删除画布图片节点或清空画布后撤销时,节点信息恢复但本地图片数据已被清理导致图片丢失的问题。
- “我的素材”类型筛选区右侧新增文本样式的导出素材和导入素材入口,可将全部素材导出为包含 `assets.json` 与图片、视频文件的压缩包,并从压缩包恢复素材。
- 未登录状态下,画布右上角不再显示用户头像菜单、用户名称、算力点余额和退出登录入口,改为显示登录入口;快捷键入口仍可直接打开。
- 生图工作台的图片参数区复用画布里的紧凑版图像设置面板,尺寸、质量、生成张数的交互保持一致;工作台仍保留独立的模型选择。
- 生图工作台新增生成记录配置持久化:每次生成会保存提示词、参考图、模型、质量、尺寸和张数,结果图写入本地图片存储后记录只保存 `storageKey`;点击历史记录会回填本次生成配置并预览结果。
- 生图工作台生成记录会过滤空缩略图地址,避免历史记录卡片渲染 `src=""` 图片。
- 图像设置面板新增默认开启的“16倍数对齐”尺寸 toggle;开启时手动输入宽高并失焦、回车或点击浮层外关闭后,会把非 16 倍数的宽高向上补齐。
- 视频设置抽成画布和视频创作台共用的紧凑面板,清晰度、尺寸、秒数按固定网格选择并支持手动输入;尺寸选择 `auto` 时请求不传 `size`。
- 修复画布和生图工作台选择图片尺寸后,请求图片生成/编辑接口未携带 `size` 参数的问题;`auto` 不传,其余比例或像素尺寸会随请求发送。
- 修复生图工作台和画布生图请求中 `quality` 参数可能传入上游不支持值导致 400 的问题;请求前会归一化质量枚举,`auto` 或异常值不再发送给上游。
- 管理后台新增/编辑渠道时,渠道可用模型支持通过弹窗按“新获取、已有”分组选择,并可在弹窗内手动增加模型或拉取模型列表后再写回表单。
- 管理后台编辑渠道时,API Key 留空不再触发必填校验,表示沿用已保存的密钥;新增渠道仍要求填写 API Key。
- 管理后台公开配置里的系统可用模型候选项改为由已启用渠道中选择的模型合并去重生成,最终开放哪些模型仍由公开配置里手动勾选。
- 视频生成请求参数对齐 `grok-imagine-video` 接口:使用 `resolution_name`、`preset=normal`、`input_reference[]`,支持清晰度、尺寸、秒数快捷选择和手动输入,并支持最多 7 张参考图。
- 画布视频设置浮层改为挂载到页面根层级并使用自建浮层交互,避免被节点悬浮工具栏遮挡或点击面板内容时关闭。
- 画布生成配置节点的生图参数改为复用图像设置浮层,支持在同一个入口里调整质量、尺寸和生成张数。
- 视频清晰度输入框改为只输入数字,提交请求时再拼接 `p` 单位。
- 视频生成前端会识别后端 `{ code, msg }` 错误响应,创建失败不再继续轮询 `undefined`。
- 新增 `/video` 视频创作台页面,参考生图工作台布局,支持提示词、参考图、视频参数、生成结果、保存素材、下载和本地生成记录;清晰度和秒数均支持常用值选择与手动输入,生成记录只保存媒体 `storageKey` 并可回填本次提示词、参考图和参数。
- 视频创作台生成前会把模型、尺寸、秒数、清晰度归一化为视频接口支持的参数,并展示后端返回的错误信息,避免页面侧残留的生图参数影响视频请求。
- 火山方舟 Agent Plan / Seedance 2.0 视频生成需要在真实账号下验证:`/contents/generations/tasks` 创建任务、轮询状态、`content.video_url` 回填画布,以及 401/403/429/超时错误提示。
- 管理后台保存私有渠道后,需要验证所有已启用渠道里的模型会自动出现在公开 `availableModels`,并且 `defaultVideoModel`、`defaultImageModel`、`defaultTextModel` 在为空或失效时会自动修复,前台不再显示旧的 `grok` 默认值。
- `/video` 和画布视频设置已按 Seedance 2.0 增加分辨率、比例、4-15 秒/智能时长、生成声音和水印参数;需要在真实浏览器里验证参数回填、生成记录和画布节点配置都能保持一致。
- `/video` 支持最多 9 张参考图、3 个参考视频、3 个参考音频;需要验证格式、大小、音频时长提示和生成请求中的 `reference_image`、`reference_video`、`reference_audio` 组装。
- 画布新增音频节点,支持上传、拖入、播放、移动、缩放、删除,并可作为上游参考音频参与 Seedance 视频生成;需要验证刷新后本地音频 URL 能恢复。
- `PUBLIC_BASE_URL` 已配置公网域名时,需要验证本地上传参考视频和参考音频能被火山拉取;未配置或配置为内网地址时,需要验证前端能给出明确提示。
- Seedance 返回远程视频 URL 但浏览器无法下载为 Blob 时,需要验证视频节点刷新后仍保留远程 URL,并确认上游 URL 有效期限制。
@@ -0,0 +1,66 @@
---
title: 提示词面板引用显示图片缩略图规划
description: 将提示词面板输入框从 textarea 改造为 contentEditable,让 @ 引用直接显示真实图片缩略图
---
# 提示词面板 @ 引用显示真实图片缩略图
## 背景 / 要解决的问题
提示词面板(`CanvasNodePromptPanel`)的输入框里,`@` 引用一张图片后,显示的是蓝色文字 chip「图片1」。期望**直接显示这张图片的真实缩略图**,而不是文字编号。
当前该输入框是原生 `<textarea>`,只能承载纯文本,无法内嵌图片。要显示缩略图,必须改用 `contentEditable`(可编辑 div),把引用做成带 `<img>` 的原子小卡片。项目里「组装提示词」组件(`CanvasConfigComposer`)已经是这套 contentEditable + 图片 chip 的成熟实现,可作蓝本。
## 关键约束(为什么不能直接改现有组件)
`CanvasResourceMentionTextarea` 被两处复用:
1. **提示词面板** `web/src/components/canvas/canvas-node-prompt-panel.tsx` —— 本次要改的对象。`highlightLabels` 默认 truevalue 是提示词字符串,引用以 label 文本「图片1」嵌在其中,**直接发给 AI**(配合 `web/src/lib/image-reference-prompt.ts` 的「参考图片编号:图片1」前缀)。
2. **节点内文本编辑** `web/src/components/canvas/canvas-node.tsx``isEditingContent` 分支)—— `highlightLabels={false}`,通过 `ref` 调用 `textarea.setSelectionRange(...)` 等 **textarea 专有 API**。若把组件改成 contentEditable,这处会直接崩。
> 结论:**新建一个 contentEditable chip 输入组件,只替换提示词面板那一处**`CanvasResourceMentionTextarea`textarea 版)保持不动,继续服务节点内文本编辑。
## 方案:新增 `CanvasPromptChipInput` 组件
新文件 `web/src/components/canvas/canvas-prompt-chip-input.tsx`,参照 `canvas-config-composer.tsx` 的 contentEditable 模式,但有一处**核心差异**:
- 「组装提示词」把引用序列化成 `@[node:UUID]` 标记;
- 本组件的 value 必须保持**引用的 label 文本**(如「图片1」),这样发给生成的提示词语义不变。因此 chip ↔ 文本的序列化用 **label 文本**,不是 node 标记。
### 组件契约(与现用法一致)
Props`value: string`、`references: CanvasResourceReference[]`、`onChange(value)`、`onSubmit?()`、`className`、`style`、`placeholder`。图片缩略图取 `reference.previewUrl`(即 `node.metadata.content`,已存在于 `CanvasResourceReference`)。
### 实现要点(大量复用 composer 的做法)
1. **DOM ← value(未聚焦时重建)**:仿 `CanvasConfigComposer` 的重建 effect。用 active label 列表(`references.filter(active).map(label)`,按长度降序)把 value 字符串切成「文本片段 + 命中 label」,命中处插入 chip。聚焦时不重建(`document.activeElement === editor` 直接 return),避免与输入 / IME 打架。
2. **chip 渲染**:仿 `createReferenceChip`。image 类型 → `size-6` 的 `<img src={reference.previewUrl}>`;其它类型 → 截断文字。chip 为 `contentEditable="false"` 的 `<span>`,用 `dataset.refLabel` 存 label 以便序列化。
3. **value ← DOMsyncFromEditor**:仿 `serializeNodes`,但 chip 序列化为 `dataset.refLabel`label 文本)而非 node 标记;文本节点原样拼接,`<br>` → `\n`。
4. **@ 菜单**:复用 `textBeforeCaret` + `/@([^\s@]*)$/` 检测;菜单定位改用 `getSelection().getRangeAt(0).getBoundingClientRect()`(比 textarea 的镜像 div 更简单、天然贴着光标)。菜单 UI 沿用现有 `MentionMenu` 的视觉(缩略图 + label + 副标题)。
5. **原子删除**:直接复用 composer 的 `deleteAdjacentReference` / `adjacentReferenceNode` / `findReferenceSibling`——contentEditable + `contentEditable="false"` chip 天然整体删除。可把这几个通用 DOM 助手连同 `textBeforeCaret` / `placeCaretAtEnd` / `closestEditor` 复制进新组件(保持 composer 不动,规避回归风险)。
6. **回车发送 + IME**:复用 `isPlainEnterKey` / `isImeComposing``@/lib/keyboard-event`)与 `onCompositionStart/End`,发送时调用 `onSubmit`。
7. **占位符 & 样式**:空值时显示 placeholderabsolute 占位层);容器套用面板传入的 `className/style``min-h-40`、透明底、无边框,与当前一致)。
### 替换点
`canvas-node-prompt-panel.tsx` 里把 `<CanvasResourceMentionTextarea .../>` 换成 `<CanvasPromptChipInput .../>`(同样的 value/references/onChange/onSubmit/className/style/placeholder)。其余(模型选择、设置、生成按钮)不动。
### 不改动
- `CanvasResourceMentionTextarea`textarea 版)保留,节点内文本编辑继续用它。
- 生成链路、`image-reference-prompt.ts` 前缀逻辑不变(value 仍是 label 文本)。
## 影响文件
- 新增:`web/src/components/canvas/canvas-prompt-chip-input.tsx`
- 修改:`web/src/components/canvas/canvas-node-prompt-panel.tsx`(仅替换输入框组件 + 相应 import)
## 验证
1. `npx tsc --noEmit` 通过。
2. dev server 刷新后:
- 连一张图片到图片 / 视频节点 → 面板输入框输入 `@` → 菜单贴着光标弹出 → 选中 → **输入框内显示该图的真实缩略图 chip**(不再是「图片1」文字)。
- 光标在 chip 后按一次 Backspace → 整个 chip 一次删除。
- 普通文字 + chip 混排,回车触发生成;确认发给生成的 prompt 里引用仍是「图片1」文本(生成结果正常引用到图)。
- 中文输入法输入不吞字、不误触发发送。
- 回归:双击文本节点进入内文本编辑仍正常(未受影响)。
+2
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@@ -6,3 +6,5 @@ description: 当前项目后续值得处理的事项
# TODO # TODO
本文档用来记录当前项目后续比较值得处理的事项。 本文档用来记录当前项目后续比较值得处理的事项。
- 本地 Agent 接入后续:按[本地 Agent 接入规划](/docs/progress/local-agent-integration-plan)把 Claude Code CLI Adapter 升级为 Claude Agent SDK Adapter,并完善工具队列体验。
-25
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@@ -1,25 +0,0 @@
---
title: 打赏支持
description: 支持无限画布项目继续维护
---
# 打赏支持
如果本项目对你有帮助,欢迎通过打赏、Star、提供AI订阅账号等方式支持项目继续维护。
项目开发大量依赖 Codex、Claude 等 AI 编程工具辅助写代码、排查问题和整理文档,这些工具需要持续付费。你的打赏会优先用于购买 AI 开发工具、模型服务和项目维护相关资源,帮助项目继续迭代。
## 支持方式
支持方式包括但不限于:
- 给 GitHub 仓库点 Star,帮助项目被更多人看到。
- 金额打赏,用于支持 AI 工具订阅、模型服务和项目维护成本。
- Codex、Claude 等 AI 编程工具订阅账号支持,帮助维护者持续使用 AI 辅助开发。
<div className="not-prose mt-6 flex flex-wrap items-center gap-3">
<span className="text-lg font-semibold text-fd-foreground">赞助地址:</span>
<a href="https://ifdian.net/a/basketikun" target="_blank" rel="noreferrer" className="inline-flex">
<img src="https://img.shields.io/badge/%E7%88%B1%E5%8F%91%E7%94%B5-%E8%B5%9E%E5%8A%A9%E4%BD%9C%E8%80%85-946ce6?style=for-the-badge&logo=data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgZmlsbD0id2hpdGUiPjxwYXRoIGQ9Ik0xMiAyMS4zNWwtMS40NS0xLjMyQzUuNCAxNS4zNiAyIDEyLjI4IDIgOC41IDIgNS40MiA0LjQyIDMgNy41IDNjMS43NCAwIDMuNDEuODEgNC41IDIuMDlDMTMuMDkgMy44MSAxNC43NiAzIDE2LjUgMyAxOS41OCAzIDIyIDUuNDIgMjIgOC41YzAgMy43OC0zLjQgNi44Ni04LjU1IDExLjU0TDEyIDIxLjM1eiIvPjwvc3ZnPg==&logoColor=white" alt="爱发电赞助" />
</a>
</div>
+2 -2
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@@ -1,9 +1,9 @@
{ {
"title": "赞助支持", "title": "支持与安全",
"root": true, "root": true,
"defaultOpen": true, "defaultOpen": true,
"pages": [ "pages": [
"donate", "security",
"sponsor" "sponsor"
] ]
} }
+34
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@@ -0,0 +1,34 @@
---
title: 漏洞提交
description: 安全漏洞提交和负责任披露说明
---
# 漏洞提交
安全策略英文原文见 [SECURITY.md](https://github.com/basketikun/infinite-canvas/blob/main/SECURITY.md)。
请不要在公开 Issue 中直接发布漏洞细节、可利用代码、私密 API Key、截图中的敏感信息或真实用户数据。
## 提交流程
优先使用 GitHub 的私密漏洞报告或 Security Advisory。如果仓库没有开启对应入口,请发送邮件至 [1844025705@qq.com](mailto:1844025705@qq.com),邮件标题建议使用:
```text
[infinite-canvas security]
```
如果暂时无法使用私密渠道,可以先开一个公开 Issue 请求维护者提供私密联系方式,但不要在 Issue 中写入漏洞细节。
## 建议提供的信息
- 受影响的版本、提交、分支或部署方式。
- 清晰的复现步骤。
- 漏洞影响、攻击场景和触发条件。
- 已脱敏的日志、截图或 PoC。
- 是否涉及浏览器本地存储、API Key、WebDAV 同步、AI 渠道配置或接口请求。
## 范围说明
项目会优先处理由本仓库代码或默认配置导致的 XSS、敏感信息泄露、文件处理、导入导出、WebDAV 同步、权限控制和供应链风险。
第三方模型服务、托管平台、浏览器插件、用户自行泄露的 API Key、没有实际利用路径的安全头建议、纯社工钓鱼或账号找回问题通常不属于本项目漏洞范围。
+19 -5
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@@ -1,19 +1,33 @@
--- ---
title: 广告赞助 title: 赞助支持
description: 广告赞助、项目露出和社区推广说明 description: 赞助支持、广告合作、项目露出和社区推广说明
--- ---
# 广告赞助 # 赞助支持
如果本项目对你有帮助,欢迎通过 Star、广告赞助合作、提供 AI 订阅账号等方式支持项目继续维护。
项目开发大量依赖 Codex、Claude 等 AI 编程工具辅助写代码、排查问题和整理文档,这些工具需要持续付费。相关支持会优先用于购买 AI 开发工具、模型服务和项目维护相关资源,帮助项目继续迭代。
## 支持方式
支持方式包括但不限于:
- 给 GitHub 仓库点 Star,帮助项目被更多人看到。
- 通过广告赞助合作支持项目维护成本。
- Codex、Claude 等 AI 编程工具订阅账号支持,帮助维护者持续使用 AI 辅助开发。
## 广告赞助
如果你希望在项目文档、README 或相关页面获得赞助露出,可以直接通过邮箱联系项目维护者沟通位置、周期和展示形式。 如果你希望在项目文档、README 或相关页面获得赞助露出,可以直接通过邮箱联系项目维护者沟通位置、周期和展示形式。
## 适合的赞助内容 ### 适合的赞助内容
- AI 工具、模型服务、API 服务或开发者工具。 - AI 工具、模型服务、API 服务或开发者工具。
- 与图片、视频、文本生成工作流相关的产品。 - 与图片、视频、文本生成工作流相关的产品。
- 适合开源项目用户和 AI 创作者使用的服务。 - 适合开源项目用户和 AI 创作者使用的服务。
## 建议提供的信息 ### 建议提供的信息
- 品牌或产品名称。 - 品牌或产品名称。
- 希望展示的位置和周期。 - 希望展示的位置和周期。
+13 -12
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@@ -13,24 +13,21 @@
- [画布节点操作手册](/docs/canvas/canvas-node-manual) - [画布节点操作手册](/docs/canvas/canvas-node-manual)
- [画布快捷键](/docs/canvas/canvas-shortcuts) - [画布快捷键](/docs/canvas/canvas-shortcuts)
## 开发文档 ## 开发与数据
- [本地开发](/docs/backend/local-development) - [本地开发](/docs/development/local-development)
- [接口响应约定](/docs/backend/api-response) - [画布数据结构](/docs/development/canvas-data-structure)
- [系统配置数据结构](/docs/backend/system-settings)
- [后端数据库说明](/docs/backend/backend-database)
- [画布数据结构](/docs/backend/canvas-data-structure)
## 商务合作 ## 商务合作
- [开源协议](/docs/business/license) - [开源协议](/docs/business/license)
- [贡献者协议](/docs/business/cla)
- [商务合作](/docs/business/business) - [商务合作](/docs/business/business)
## 赞助支持 ## 支持与安全
- [文档](/docs/support/docs) - [漏洞提交](/docs/support/security)
- [打赏支持](/docs/support/donate) - [赞助支持](/docs/support/sponsor)
- [广告赞助](/docs/support/sponsor)
## 项目进度 ## 项目进度
@@ -40,5 +37,9 @@
## 说明 ## 说明
- 当前画布项目和“我的素材”主要保存在浏览器本地,不支持云同步。 - 当前画布项目和“我的素材”主要保存在浏览器本地,跨设备可自行配置 WebDAV 同步。
- 本地直连模式下,AI API Key 保存在浏览器本地,并由前端直接请求 OpenAI 兼容接口。 - AI API Key 保存在浏览器本地,并由前端直接请求 OpenAI 兼容接口。
## 原理说明
- [本地 Codex 连接画布原理](/docs/development/local-codex-canvas)
+1 -1
View File
@@ -3,7 +3,7 @@ import { ArrowUpRight, BookOpen, Rocket } from 'lucide-react';
import { appName, gitConfig } from '@/lib/shared'; import { appName, gitConfig } from '@/lib/shared';
const githubUrl = `https://github.com/${gitConfig.user}/${gitConfig.repo}`; const githubUrl = `https://github.com/${gitConfig.user}/${gitConfig.repo}`;
const demoUrl = 'https://infinite-canvas-cpco.onrender.com/'; const demoUrl = 'https://canvas.best/';
const starHistoryUrl = `https://www.star-history.com/?repos=${gitConfig.user}%2F${gitConfig.repo}&type=date`; const starHistoryUrl = `https://www.star-history.com/?repos=${gitConfig.user}%2F${gitConfig.repo}&type=date`;
const starHistoryChart = `https://api.star-history.com/chart?repos=${gitConfig.user}/${gitConfig.repo}&type=date&transparent=true`; const starHistoryChart = `https://api.star-history.com/chart?repos=${gitConfig.user}/${gitConfig.repo}&type=date&transparent=true`;
const darkStarHistoryChart = `${starHistoryChart}&theme=dark`; const darkStarHistoryChart = `${starHistoryChart}&theme=dark`;
+2 -2
View File
@@ -7,10 +7,10 @@ import { cn } from '@/lib/cn';
const tabs = [ const tabs = [
{ title: '项目介绍', href: '/docs/overview/quick-start', prefix: '/docs/overview' }, { title: '项目介绍', href: '/docs/overview/quick-start', prefix: '/docs/overview' },
{ title: '操作手册', href: '/docs/canvas/canvas-node-manual', prefix: '/docs/canvas' }, { title: '操作手册', href: '/docs/canvas/canvas-node-manual', prefix: '/docs/canvas' },
{ title: '开发文档', href: '/docs/backend/local-development', prefix: '/docs/backend' }, { title: '开发文档', href: '/docs/development/local-development', prefix: '/docs/development' },
{ title: '项目进度', href: '/docs/progress/changelog', prefix: '/docs/progress' }, { title: '项目进度', href: '/docs/progress/changelog', prefix: '/docs/progress' },
{ title: '商务合作', href: '/docs/business/business', prefix: '/docs/business' }, { title: '商务合作', href: '/docs/business/business', prefix: '/docs/business' },
{ title: '赞助支持', href: '/docs/support/donate', prefix: '/docs/support' }, { title: '赞助支持', href: '/docs/support/sponsor', prefix: '/docs/support' },
]; ];
export function DocsTopTabs() { export function DocsTopTabs() {
+1 -1
View File
@@ -28,7 +28,7 @@ export function baseOptions(): BaseLayoutProps {
<ArrowUpRight className="size-4" /> <ArrowUpRight className="size-4" />
</span> </span>
), ),
url: 'https://infinite-canvas-cpco.onrender.com/', url: 'https://canvas.best/',
external: true, external: true,
on: 'nav', on: 'nav',
}, },
+5
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@@ -0,0 +1,5 @@
{
"framework": "nextjs",
"installCommand": "bun install",
"buildCommand": "bun run build"
}
-65
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@@ -1,65 +0,0 @@
module github.com/basketikun/infinite-canvas
go 1.25.0
require (
github.com/caarlos0/env/v11 v11.3.1
github.com/gin-gonic/gin v1.11.0
github.com/glebarez/sqlite v1.11.0
github.com/golang-jwt/jwt/v5 v5.3.1
github.com/go-sql-driver/mysql v1.8.1
github.com/jackc/pgx/v5 v5.6.0
github.com/joho/godotenv v1.5.1
github.com/robfig/cron/v3 v3.0.1
golang.org/x/crypto v0.48.0
gorm.io/driver/mysql v1.6.0
gorm.io/driver/postgres v1.6.0
gorm.io/gorm v1.31.1
)
require (
filippo.io/edwards25519 v1.2.0 // indirect
github.com/bytedance/sonic v1.14.0 // indirect
github.com/bytedance/sonic/loader v0.3.0 // indirect
github.com/cloudwego/base64x v0.1.6 // indirect
github.com/dustin/go-humanize v1.0.1 // indirect
github.com/gabriel-vasile/mimetype v1.4.8 // indirect
github.com/gin-contrib/sse v1.1.0 // indirect
github.com/glebarez/go-sqlite v1.21.2 // indirect
github.com/go-playground/locales v0.14.1 // indirect
github.com/go-playground/universal-translator v0.18.1 // indirect
github.com/go-playground/validator/v10 v10.27.0 // indirect
github.com/goccy/go-json v0.10.2 // indirect
github.com/goccy/go-yaml v1.18.0 // indirect
github.com/google/uuid v1.3.0
github.com/jackc/pgpassfile v1.0.0 // indirect
github.com/jackc/pgservicefile v0.0.0-20240606120523-5a60cdf6a761 // indirect
github.com/jackc/puddle/v2 v2.2.2 // indirect
github.com/jinzhu/inflection v1.0.0 // indirect
github.com/jinzhu/now v1.1.5 // indirect
github.com/json-iterator/go v1.1.12 // indirect
github.com/klauspost/cpuid/v2 v2.3.0 // indirect
github.com/leodido/go-urn v1.4.0 // indirect
github.com/mattn/go-isatty v0.0.20 // indirect
github.com/modern-go/concurrent v0.0.0-20180228061459-e0a39a4cb421 // indirect
github.com/modern-go/reflect2 v1.0.2 // indirect
github.com/pelletier/go-toml/v2 v2.2.4 // indirect
github.com/quic-go/qpack v0.5.1 // indirect
github.com/quic-go/quic-go v0.54.0 // indirect
github.com/remyoudompheng/bigfft v0.0.0-20230129092748-24d4a6f8daec // indirect
github.com/twitchyliquid64/golang-asm v0.15.1 // indirect
github.com/ugorji/go/codec v1.3.0 // indirect
go.uber.org/mock v0.5.0 // indirect
golang.org/x/arch v0.20.0 // indirect
golang.org/x/mod v0.33.0 // indirect
golang.org/x/net v0.50.0 // indirect
golang.org/x/sync v0.20.0 // indirect
golang.org/x/sys v0.42.0 // indirect
golang.org/x/text v0.34.0 // indirect
golang.org/x/tools v0.42.0 // indirect
google.golang.org/protobuf v1.36.9 // indirect
modernc.org/libc v1.22.5 // indirect
modernc.org/mathutil v1.5.0 // indirect
modernc.org/memory v1.5.0 // indirect
modernc.org/sqlite v1.23.1 // indirect
)
-140
View File
@@ -1,140 +0,0 @@
filippo.io/edwards25519 v1.2.0 h1:crnVqOiS4jqYleHd9vaKZ+HKtHfllngJIiOpNpoJsjo=
filippo.io/edwards25519 v1.2.0/go.mod h1:xzAOLCNug/yB62zG1bQ8uziwrIqIuxhctzJT18Q77mc=
github.com/bytedance/sonic v1.14.0 h1:/OfKt8HFw0kh2rj8N0F6C/qPGRESq0BbaNZgcNXXzQQ=
github.com/bytedance/sonic v1.14.0/go.mod h1:WoEbx8WTcFJfzCe0hbmyTGrfjt8PzNEBdxlNUO24NhA=
github.com/bytedance/sonic/loader v0.3.0 h1:dskwH8edlzNMctoruo8FPTJDF3vLtDT0sXZwvZJyqeA=
github.com/bytedance/sonic/loader v0.3.0/go.mod h1:N8A3vUdtUebEY2/VQC0MyhYeKUFosQU6FxH2JmUe6VI=
github.com/caarlos0/env/v11 v11.3.1 h1:cArPWC15hWmEt+gWk7YBi7lEXTXCvpaSdCiZE2X5mCA=
github.com/caarlos0/env/v11 v11.3.1/go.mod h1:qupehSf/Y0TUTsxKywqRt/vJjN5nz6vauiYEUUr8P4U=
github.com/cloudwego/base64x v0.1.6 h1:t11wG9AECkCDk5fMSoxmufanudBtJ+/HemLstXDLI2M=
github.com/cloudwego/base64x v0.1.6/go.mod h1:OFcloc187FXDaYHvrNIjxSe8ncn0OOM8gEHfghB2IPU=
github.com/davecgh/go-spew v1.1.0/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
github.com/davecgh/go-spew v1.1.1 h1:vj9j/u1bqnvCEfJOwUhtlOARqs3+rkHYY13jYWTU97c=
github.com/davecgh/go-spew v1.1.1/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
github.com/dustin/go-humanize v1.0.1 h1:GzkhY7T5VNhEkwH0PVJgjz+fX1rhBrR7pRT3mDkpeCY=
github.com/dustin/go-humanize v1.0.1/go.mod h1:Mu1zIs6XwVuF/gI1OepvI0qD18qycQx+mFykh5fBlto=
github.com/gabriel-vasile/mimetype v1.4.8 h1:FfZ3gj38NjllZIeJAmMhr+qKL8Wu+nOoI3GqacKw1NM=
github.com/gabriel-vasile/mimetype v1.4.8/go.mod h1:ByKUIKGjh1ODkGM1asKUbQZOLGrPjydw3hYPU2YU9t8=
github.com/gin-contrib/sse v1.1.0 h1:n0w2GMuUpWDVp7qSpvze6fAu9iRxJY4Hmj6AmBOU05w=
github.com/gin-contrib/sse v1.1.0/go.mod h1:hxRZ5gVpWMT7Z0B0gSNYqqsSCNIJMjzvm6fqCz9vjwM=
github.com/gin-gonic/gin v1.11.0 h1:OW/6PLjyusp2PPXtyxKHU0RbX6I/l28FTdDlae5ueWk=
github.com/gin-gonic/gin v1.11.0/go.mod h1:+iq/FyxlGzII0KHiBGjuNn4UNENUlKbGlNmc+W50Dls=
github.com/glebarez/go-sqlite v1.21.2 h1:3a6LFC4sKahUunAmynQKLZceZCOzUthkRkEAl9gAXWo=
github.com/glebarez/go-sqlite v1.21.2/go.mod h1:sfxdZyhQjTM2Wry3gVYWaW072Ri1WMdWJi0k6+3382k=
github.com/glebarez/sqlite v1.11.0 h1:wSG0irqzP6VurnMEpFGer5Li19RpIRi2qvQz++w0GMw=
github.com/glebarez/sqlite v1.11.0/go.mod h1:h8/o8j5wiAsqSPoWELDUdJXhjAhsVliSn7bWZjOhrgQ=
github.com/go-playground/assert/v2 v2.2.0 h1:JvknZsQTYeFEAhQwI4qEt9cyV5ONwRHC+lYKSsYSR8s=
github.com/go-playground/assert/v2 v2.2.0/go.mod h1:VDjEfimB/XKnb+ZQfWdccd7VUvScMdVu0Titje2rxJ4=
github.com/go-playground/locales v0.14.1 h1:EWaQ/wswjilfKLTECiXz7Rh+3BjFhfDFKv/oXslEjJA=
github.com/go-playground/locales v0.14.1/go.mod h1:hxrqLVvrK65+Rwrd5Fc6F2O76J/NuW9t0sjnWqG1slY=
github.com/go-playground/universal-translator v0.18.1 h1:Bcnm0ZwsGyWbCzImXv+pAJnYK9S473LQFuzCbDbfSFY=
github.com/go-playground/universal-translator v0.18.1/go.mod h1:xekY+UJKNuX9WP91TpwSH2VMlDf28Uj24BCp08ZFTUY=
github.com/go-playground/validator/v10 v10.27.0 h1:w8+XrWVMhGkxOaaowyKH35gFydVHOvC0/uWoy2Fzwn4=
github.com/go-playground/validator/v10 v10.27.0/go.mod h1:I5QpIEbmr8On7W0TktmJAumgzX4CA1XNl4ZmDuVHKKo=
github.com/go-sql-driver/mysql v1.8.1 h1:LedoTUt/eveggdHS9qUFC1EFSa8bU2+1pZjSRpvNJ1Y=
github.com/go-sql-driver/mysql v1.8.1/go.mod h1:wEBSXgmK//2ZFJyE+qWnIsVGmvmEKlqwuVSjsCm7DZg=
github.com/goccy/go-json v0.10.2 h1:CrxCmQqYDkv1z7lO7Wbh2HN93uovUHgrECaO5ZrCXAU=
github.com/goccy/go-json v0.10.2/go.mod h1:6MelG93GURQebXPDq3khkgXZkazVtN9CRI+MGFi0w8I=
github.com/goccy/go-yaml v1.18.0 h1:8W7wMFS12Pcas7KU+VVkaiCng+kG8QiFeFwzFb+rwuw=
github.com/goccy/go-yaml v1.18.0/go.mod h1:XBurs7gK8ATbW4ZPGKgcbrY1Br56PdM69F7LkFRi1kA=
github.com/golang-jwt/jwt/v5 v5.3.1 h1:kYf81DTWFe7t+1VvL7eS+jKFVWaUnK9cB1qbwn63YCY=
github.com/golang-jwt/jwt/v5 v5.3.1/go.mod h1:fxCRLWMO43lRc8nhHWY6LGqRcf+1gQWArsqaEUEa5bE=
github.com/google/go-cmp v0.7.0 h1:wk8382ETsv4JYUZwIsn6YpYiWiBsYLSJiTsyBybVuN8=
github.com/google/go-cmp v0.7.0/go.mod h1:pXiqmnSA92OHEEa9HXL2W4E7lf9JzCmGVUdgjX3N/iU=
github.com/google/gofuzz v1.0.0/go.mod h1:dBl0BpW6vV/+mYPU4Po3pmUjxk6FQPldtuIdl/M65Eg=
github.com/google/pprof v0.0.0-20221118152302-e6195bd50e26 h1:Xim43kblpZXfIBQsbuBVKCudVG457BR2GZFIz3uw3hQ=
github.com/google/pprof v0.0.0-20221118152302-e6195bd50e26/go.mod h1:dDKJzRmX4S37WGHujM7tX//fmj1uioxKzKxz3lo4HJo=
github.com/google/uuid v1.3.0 h1:t6JiXgmwXMjEs8VusXIJk2BXHsn+wx8BZdTaoZ5fu7I=
github.com/google/uuid v1.3.0/go.mod h1:TIyPZe4MgqvfeYDBFedMoGGpEw/LqOeaOT+nhxU+yHo=
github.com/jackc/pgpassfile v1.0.0 h1:/6Hmqy13Ss2zCq62VdNG8tM1wchn8zjSGOBJ6icpsIM=
github.com/jackc/pgpassfile v1.0.0/go.mod h1:CEx0iS5ambNFdcRtxPj5JhEz+xB6uRky5eyVu/W2HEg=
github.com/jackc/pgservicefile v0.0.0-20240606120523-5a60cdf6a761 h1:iCEnooe7UlwOQYpKFhBabPMi4aNAfoODPEFNiAnClxo=
github.com/jackc/pgservicefile v0.0.0-20240606120523-5a60cdf6a761/go.mod h1:5TJZWKEWniPve33vlWYSoGYefn3gLQRzjfDlhSJ9ZKM=
github.com/jackc/pgx/v5 v5.6.0 h1:SWJzexBzPL5jb0GEsrPMLIsi/3jOo7RHlzTjcAeDrPY=
github.com/jackc/pgx/v5 v5.6.0/go.mod h1:DNZ/vlrUnhWCoFGxHAG8U2ljioxukquj7utPDgtQdTw=
github.com/jackc/puddle/v2 v2.2.2 h1:PR8nw+E/1w0GLuRFSmiioY6UooMp6KJv0/61nB7icHo=
github.com/jackc/puddle/v2 v2.2.2/go.mod h1:vriiEXHvEE654aYKXXjOvZM39qJ0q+azkZFrfEOc3H4=
github.com/jinzhu/inflection v1.0.0 h1:K317FqzuhWc8YvSVlFMCCUb36O/S9MCKRDI7QkRKD/E=
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github.com/jinzhu/now v1.1.5 h1:/o9tlHleP7gOFmsnYNz3RGnqzefHA47wQpKrrdTIwXQ=
github.com/jinzhu/now v1.1.5/go.mod h1:d3SSVoowX0Lcu0IBviAWJpolVfI5UJVZZ7cO71lE/z8=
github.com/joho/godotenv v1.5.1 h1:7eLL/+HRGLY0ldzfGMeQkb7vMd0as4CfYvUVzLqw0N0=
github.com/joho/godotenv v1.5.1/go.mod h1:f4LDr5Voq0i2e/R5DDNOoa2zzDfwtkZa6DnEwAbqwq4=
github.com/json-iterator/go v1.1.12 h1:PV8peI4a0ysnczrg+LtxykD8LfKY9ML6u2jnxaEnrnM=
github.com/json-iterator/go v1.1.12/go.mod h1:e30LSqwooZae/UwlEbR2852Gd8hjQvJoHmT4TnhNGBo=
github.com/klauspost/cpuid/v2 v2.3.0 h1:S4CRMLnYUhGeDFDqkGriYKdfoFlDnMtqTiI/sFzhA9Y=
github.com/klauspost/cpuid/v2 v2.3.0/go.mod h1:hqwkgyIinND0mEev00jJYCxPNVRVXFQeu1XKlok6oO0=
github.com/leodido/go-urn v1.4.0 h1:WT9HwE9SGECu3lg4d/dIA+jxlljEa1/ffXKmRjqdmIQ=
github.com/leodido/go-urn v1.4.0/go.mod h1:bvxc+MVxLKB4z00jd1z+Dvzr47oO32F/QSNjSBOlFxI=
github.com/mattn/go-isatty v0.0.20 h1:xfD0iDuEKnDkl03q4limB+vH+GxLEtL/jb4xVJSWWEY=
github.com/mattn/go-isatty v0.0.20/go.mod h1:W+V8PltTTMOvKvAeJH7IuucS94S2C6jfK/D7dTCTo3Y=
github.com/modern-go/concurrent v0.0.0-20180228061459-e0a39a4cb421 h1:ZqeYNhU3OHLH3mGKHDcjJRFFRrJa6eAM5H+CtDdOsPc=
github.com/modern-go/concurrent v0.0.0-20180228061459-e0a39a4cb421/go.mod h1:6dJC0mAP4ikYIbvyc7fijjWJddQyLn8Ig3JB5CqoB9Q=
github.com/modern-go/reflect2 v1.0.2 h1:xBagoLtFs94CBntxluKeaWgTMpvLxC4ur3nMaC9Gz0M=
github.com/modern-go/reflect2 v1.0.2/go.mod h1:yWuevngMOJpCy52FWWMvUC8ws7m/LJsjYzDa0/r8luk=
github.com/pelletier/go-toml/v2 v2.2.4 h1:mye9XuhQ6gvn5h28+VilKrrPoQVanw5PMw/TB0t5Ec4=
github.com/pelletier/go-toml/v2 v2.2.4/go.mod h1:2gIqNv+qfxSVS7cM2xJQKtLSTLUE9V8t9Stt+h56mCY=
github.com/pmezard/go-difflib v1.0.0 h1:4DBwDE0NGyQoBHbLQYPwSUPoCMWR5BEzIk/f1lZbAQM=
github.com/pmezard/go-difflib v1.0.0/go.mod h1:iKH77koFhYxTK1pcRnkKkqfTogsbg7gZNVY4sRDYZ/4=
github.com/quic-go/qpack v0.5.1 h1:giqksBPnT/HDtZ6VhtFKgoLOWmlyo9Ei6u9PqzIMbhI=
github.com/quic-go/qpack v0.5.1/go.mod h1:+PC4XFrEskIVkcLzpEkbLqq1uCoxPhQuvK5rH1ZgaEg=
github.com/quic-go/quic-go v0.54.0 h1:6s1YB9QotYI6Ospeiguknbp2Znb/jZYjZLRXn9kMQBg=
github.com/quic-go/quic-go v0.54.0/go.mod h1:e68ZEaCdyviluZmy44P6Iey98v/Wfz6HCjQEm+l8zTY=
github.com/remyoudompheng/bigfft v0.0.0-20200410134404-eec4a21b6bb0/go.mod h1:qqbHyh8v60DhA7CoWK5oRCqLrMHRGoxYCSS9EjAz6Eo=
github.com/remyoudompheng/bigfft v0.0.0-20230129092748-24d4a6f8daec h1:W09IVJc94icq4NjY3clb7Lk8O1qJ8BdBEF8z0ibU0rE=
github.com/remyoudompheng/bigfft v0.0.0-20230129092748-24d4a6f8daec/go.mod h1:qqbHyh8v60DhA7CoWK5oRCqLrMHRGoxYCSS9EjAz6Eo=
github.com/robfig/cron/v3 v3.0.1 h1:WdRxkvbJztn8LMz/QEvLN5sBU+xKpSqwwUO1Pjr4qDs=
github.com/robfig/cron/v3 v3.0.1/go.mod h1:eQICP3HwyT7UooqI/z+Ov+PtYAWygg1TEWWzGIFLtro=
github.com/stretchr/objx v0.1.0/go.mod h1:HFkY916IF+rwdDfMAkV7OtwuqBVzrE8GR6GFx+wExME=
github.com/stretchr/objx v0.4.0/go.mod h1:YvHI0jy2hoMjB+UWwv71VJQ9isScKT/TqJzVSSt89Yw=
github.com/stretchr/objx v0.5.0/go.mod h1:Yh+to48EsGEfYuaHDzXPcE3xhTkx73EhmCGUpEOglKo=
github.com/stretchr/testify v1.3.0/go.mod h1:M5WIy9Dh21IEIfnGCwXGc5bZfKNJtfHm1UVUgZn+9EI=
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github.com/stretchr/testify v1.8.0/go.mod h1:yNjHg4UonilssWZ8iaSj1OCr/vHnekPRkoO+kdMU+MU=
github.com/stretchr/testify v1.8.1/go.mod h1:w2LPCIKwWwSfY2zedu0+kehJoqGctiVI29o6fzry7u4=
github.com/stretchr/testify v1.11.1 h1:7s2iGBzp5EwR7/aIZr8ao5+dra3wiQyKjjFuvgVKu7U=
github.com/stretchr/testify v1.11.1/go.mod h1:wZwfW3scLgRK+23gO65QZefKpKQRnfz6sD981Nm4B6U=
github.com/twitchyliquid64/golang-asm v0.15.1 h1:SU5vSMR7hnwNxj24w34ZyCi/FmDZTkS4MhqMhdFk5YI=
github.com/twitchyliquid64/golang-asm v0.15.1/go.mod h1:a1lVb/DtPvCB8fslRZhAngC2+aY1QWCk3Cedj/Gdt08=
github.com/ugorji/go/codec v1.3.0 h1:Qd2W2sQawAfG8XSvzwhBeoGq71zXOC/Q1E9y/wUcsUA=
github.com/ugorji/go/codec v1.3.0/go.mod h1:pRBVtBSKl77K30Bv8R2P+cLSGaTtex6fsA2Wjqmfxj4=
go.uber.org/mock v0.5.0 h1:KAMbZvZPyBPWgD14IrIQ38QCyjwpvVVV6K/bHl1IwQU=
go.uber.org/mock v0.5.0/go.mod h1:ge71pBPLYDk7QIi1LupWxdAykm7KIEFchiOqd6z7qMM=
golang.org/x/arch v0.20.0 h1:dx1zTU0MAE98U+TQ8BLl7XsJbgze2WnNKF/8tGp/Q6c=
golang.org/x/arch v0.20.0/go.mod h1:bdwinDaKcfZUGpH09BB7ZmOfhalA8lQdzl62l8gGWsk=
golang.org/x/crypto v0.48.0 h1:/VRzVqiRSggnhY7gNRxPauEQ5Drw9haKdM0jqfcCFts=
golang.org/x/crypto v0.48.0/go.mod h1:r0kV5h3qnFPlQnBSrULhlsRfryS2pmewsg+XfMgkVos=
golang.org/x/mod v0.33.0 h1:tHFzIWbBifEmbwtGz65eaWyGiGZatSrT9prnU8DbVL8=
golang.org/x/mod v0.33.0/go.mod h1:swjeQEj+6r7fODbD2cqrnje9PnziFuw4bmLbBZFrQ5w=
golang.org/x/net v0.50.0 h1:ucWh9eiCGyDR3vtzso0WMQinm2Dnt8cFMuQa9K33J60=
golang.org/x/net v0.50.0/go.mod h1:UgoSli3F/pBgdJBHCTc+tp3gmrU4XswgGRgtnwWTfyM=
golang.org/x/sync v0.20.0 h1:e0PTpb7pjO8GAtTs2dQ6jYa5BWYlMuX047Dco/pItO4=
golang.org/x/sync v0.20.0/go.mod h1:9xrNwdLfx4jkKbNva9FpL6vEN7evnE43NNNJQ2LF3+0=
golang.org/x/sys v0.6.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
golang.org/x/sys v0.42.0 h1:omrd2nAlyT5ESRdCLYdm3+fMfNFE/+Rf4bDIQImRJeo=
golang.org/x/sys v0.42.0/go.mod h1:4GL1E5IUh+htKOUEOaiffhrAeqysfVGipDYzABqnCmw=
golang.org/x/text v0.34.0 h1:oL/Qq0Kdaqxa1KbNeMKwQq0reLCCaFtqu2eNuSeNHbk=
golang.org/x/text v0.34.0/go.mod h1:homfLqTYRFyVYemLBFl5GgL/DWEiH5wcsQ5gSh1yziA=
golang.org/x/tools v0.42.0 h1:uNgphsn75Tdz5Ji2q36v/nsFSfR/9BRFvqhGBaJGd5k=
golang.org/x/tools v0.42.0/go.mod h1:Ma6lCIwGZvHK6XtgbswSoWroEkhugApmsXyrUmBhfr0=
google.golang.org/protobuf v1.36.9 h1:w2gp2mA27hUeUzj9Ex9FBjsBm40zfaDtEWow293U7Iw=
google.golang.org/protobuf v1.36.9/go.mod h1:fuxRtAxBytpl4zzqUh6/eyUujkJdNiuEkXntxiD/uRU=
gopkg.in/check.v1 v0.0.0-20161208181325-20d25e280405/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0=
gopkg.in/yaml.v3 v3.0.0-20200313102051-9f266ea9e77c/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM=
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gorm.io/driver/mysql v1.6.0 h1:eNbLmNTpPpTOVZi8MMxCi2aaIm0ZpInbORNXDwyLGvg=
gorm.io/driver/mysql v1.6.0/go.mod h1:D/oCC2GWK3M/dqoLxnOlaNKmXz8WNTfcS9y5ovaSqKo=
gorm.io/driver/postgres v1.6.0 h1:2dxzU8xJ+ivvqTRph34QX+WrRaJlmfyPqXmoGVjMBa4=
gorm.io/driver/postgres v1.6.0/go.mod h1:vUw0mrGgrTK+uPHEhAdV4sfFELrByKVGnaVRkXDhtWo=
gorm.io/gorm v1.31.1 h1:7CA8FTFz/gRfgqgpeKIBcervUn3xSyPUmr6B2WXJ7kg=
gorm.io/gorm v1.31.1/go.mod h1:XyQVbO2k6YkOis7C2437jSit3SsDK72s7n7rsSHd+Gs=
modernc.org/libc v1.22.5 h1:91BNch/e5B0uPbJFgqbxXuOnxBQjlS//icfQEGmvyjE=
modernc.org/libc v1.22.5/go.mod h1:jj+Z7dTNX8fBScMVNRAYZ/jF91K8fdT2hYMThc3YjBY=
modernc.org/mathutil v1.5.0 h1:rV0Ko/6SfM+8G+yKiyI830l3Wuz1zRutdslNoQ0kfiQ=
modernc.org/mathutil v1.5.0/go.mod h1:mZW8CKdRPY1v87qxC/wUdX5O1qDzXMP5TH3wjfpga6E=
modernc.org/memory v1.5.0 h1:N+/8c5rE6EqugZwHii4IFsaJ7MUhoWX07J5tC/iI5Ds=
modernc.org/memory v1.5.0/go.mod h1:PkUhL0Mugw21sHPeskwZW4D6VscE/GQJOnIpCnW6pSU=
modernc.org/sqlite v1.23.1 h1:nrSBg4aRQQwq59JpvGEQ15tNxoO5pX/kUjcRNwSAGQM=
modernc.org/sqlite v1.23.1/go.mod h1:OrDj17Mggn6MhE+iPbBNf7RGKODDE9NFT0f3EwDzJqk=
-74
View File
@@ -1,74 +0,0 @@
package handler
import (
"encoding/json"
"log"
"net/http"
"github.com/basketikun/infinite-canvas/model"
"github.com/basketikun/infinite-canvas/service"
)
type adminSyncRequest struct {
Category string `json:"category"`
}
type adminBatchDeleteRequest struct {
IDs []string `json:"ids"`
}
func AdminPromptCategories(w http.ResponseWriter, r *http.Request) {
OK(w, service.ListPromptCategories())
}
func AdminPrompts(w http.ResponseWriter, r *http.Request) {
result, err := service.ListPrompts(parseQuery(r))
if err != nil {
FailError(w, err)
return
}
OK(w, result)
}
func AdminSavePrompt(w http.ResponseWriter, r *http.Request) {
var item model.Prompt
_ = json.NewDecoder(r.Body).Decode(&item)
result, err := service.SavePrompt(item)
if err != nil {
FailError(w, err)
return
}
OK(w, result)
}
func AdminDeletePrompt(w http.ResponseWriter, r *http.Request, id string) {
if err := service.DeletePrompt(id); err != nil {
FailError(w, err)
return
}
OK(w, true)
}
func AdminDeletePrompts(w http.ResponseWriter, r *http.Request) {
var request adminBatchDeleteRequest
_ = json.NewDecoder(r.Body).Decode(&request)
if err := service.DeletePrompts(request.IDs); err != nil {
FailError(w, err)
return
}
OK(w, true)
}
func AdminSyncPromptCategories(w http.ResponseWriter, r *http.Request) {
var request adminSyncRequest
_ = json.NewDecoder(r.Body).Decode(&request)
log.Printf("sync prompt category start category=%s", request.Category)
categories, err := service.SyncPromptCategory(request.Category)
if err != nil {
log.Printf("sync prompt category failed category=%s err=%v", request.Category, err)
FailError(w, err)
return
}
log.Printf("sync prompt category done category=%s", request.Category)
OK(w, categories)
}
-311
View File
@@ -1,311 +0,0 @@
package handler
import (
"bytes"
"encoding/json"
"fmt"
"io"
"log"
"mime"
"mime/multipart"
"net/http"
"strings"
"github.com/basketikun/infinite-canvas/service"
)
func AIImagesGenerations(w http.ResponseWriter, r *http.Request) {
proxyAIRequest(w, r, "/images/generations")
}
func AIImagesEdits(w http.ResponseWriter, r *http.Request) {
proxyAIRequest(w, r, "/images/edits")
}
func AIChatCompletions(w http.ResponseWriter, r *http.Request) {
proxyAIRequest(w, r, "/chat/completions")
}
func AIAudioSpeech(w http.ResponseWriter, r *http.Request) {
proxyAIRequest(w, r, "/audio/speech")
}
func AIVideos(w http.ResponseWriter, r *http.Request) {
proxyAIRequest(w, r, "/videos")
}
func AIVideo(w http.ResponseWriter, r *http.Request, id string) {
proxyAIGetRequest(w, r, "/videos/"+id)
}
func AIVideoContent(w http.ResponseWriter, r *http.Request, id string) {
proxyAIGetRequest(w, r, "/videos/"+id+"/content")
}
func proxyAIGetRequest(w http.ResponseWriter, r *http.Request, path string) {
modelName := r.URL.Query().Get("model")
if strings.TrimSpace(modelName) == "" {
modelName = "grok-imagine-video"
}
channel, err := service.SelectModelChannel(modelName)
if err != nil {
log.Printf("AI proxy select channel failed: model=%s err=%v", modelName, err)
Fail(w, "AI 接口请求失败")
return
}
path = resolveAIProxyPath(channel.BaseURL, modelName, path)
request, err := http.NewRequest(http.MethodGet, service.BuildModelChannelURL(channel, path), nil)
if err != nil {
Fail(w, "AI 接口请求失败")
return
}
request.Header.Set("Authorization", "Bearer "+channel.APIKey)
copyAIResponse(w, request, nil)
}
func proxyAIRequest(w http.ResponseWriter, r *http.Request, path string) {
body, contentType, modelName, err := readAIRequest(r)
if err != nil {
log.Printf("AI proxy request read failed: %v", err)
Fail(w, "AI 接口请求失败")
return
}
user, ok := service.UserFromContext(r.Context())
if !ok {
Fail(w, "未登录或权限不足")
return
}
credits, err := service.ModelCost(modelName)
if err != nil {
log.Printf("AI proxy read model cost failed: model=%s err=%v", modelName, err)
Fail(w, "AI 接口请求失败")
return
}
credits *= readAIRequestCount(body, contentType)
channel, err := service.SelectModelChannel(modelName)
if err != nil {
log.Printf("AI proxy select channel failed: model=%s err=%v", modelName, err)
Fail(w, "AI 接口请求失败")
return
}
path = resolveAIProxyPath(channel.BaseURL, modelName, path)
request, err := http.NewRequest(http.MethodPost, service.BuildModelChannelURL(channel, path), bytes.NewReader(body))
if err != nil {
log.Printf("AI proxy build request failed: url=%s err=%v", service.BuildModelChannelURL(channel, path), err)
Fail(w, "AI 接口请求失败")
return
}
request.Header.Set("Authorization", "Bearer "+channel.APIKey)
if contentType != "" {
request.Header.Set("Content-Type", contentType)
}
if err := service.ConsumeUserCredits(user.ID, modelName, credits, path); err != nil {
FailError(w, err)
return
}
copyAIResponse(w, request, func() {
if err := service.RefundUserCredits(user.ID, modelName, credits, path); err != nil {
log.Printf("AI proxy refund credits failed: user=%s model=%s credits=%d err=%v", user.ID, modelName, credits, err)
}
})
}
func copyAIResponse(w http.ResponseWriter, request *http.Request, onFailure func()) {
response, err := http.DefaultClient.Do(request)
if err != nil {
log.Printf("AI proxy request failed: url=%s err=%v", request.URL.String(), err)
if onFailure != nil {
onFailure()
}
Fail(w, "AI 接口请求失败")
return
}
defer response.Body.Close()
if response.StatusCode >= http.StatusBadRequest {
body, _ := io.ReadAll(io.LimitReader(response.Body, 4096))
log.Printf("AI upstream error: url=%s status=%d", request.URL.String(), response.StatusCode)
if onFailure != nil {
onFailure()
}
Fail(w, aiUpstreamStatusMessage(response.StatusCode, body))
return
}
for key, values := range response.Header {
if strings.EqualFold(key, "Content-Length") {
continue
}
for _, value := range values {
w.Header().Add(key, value)
}
}
w.WriteHeader(response.StatusCode)
_, _ = io.Copy(w, response.Body)
}
func readAIRequest(r *http.Request) ([]byte, string, string, error) {
contentType := r.Header.Get("Content-Type")
body, err := io.ReadAll(r.Body)
if err != nil {
return nil, "", "", err
}
modelName := ""
if strings.HasPrefix(contentType, "multipart/form-data") {
modelName = readMultipartModel(body, contentType)
} else {
var payload struct {
Model string `json:"model"`
}
_ = json.Unmarshal(body, &payload)
modelName = payload.Model
}
if strings.TrimSpace(modelName) == "" {
return nil, "", "", errMissingModel
}
return body, contentType, modelName, nil
}
func readMultipartModel(body []byte, contentType string) string {
_, params, err := mime.ParseMediaType(contentType)
if err != nil {
return ""
}
reader := multipart.NewReader(bytes.NewReader(body), params["boundary"])
form, err := reader.ReadForm(32 << 20)
if err != nil {
return ""
}
defer form.RemoveAll()
if values := form.Value["model"]; len(values) > 0 {
return values[0]
}
return ""
}
func readAIRequestCount(body []byte, contentType string) int {
count := 1
if strings.HasPrefix(contentType, "multipart/form-data") {
_, params, err := mime.ParseMediaType(contentType)
if err != nil {
return count
}
form, err := multipart.NewReader(bytes.NewReader(body), params["boundary"]).ReadForm(32 << 20)
if err != nil {
return count
}
defer form.RemoveAll()
if values := form.Value["n"]; len(values) > 0 {
_, _ = fmt.Sscan(values[0], &count)
}
} else {
var payload struct {
N int `json:"n"`
}
_ = json.Unmarshal(body, &payload)
count = payload.N
}
if count < 1 {
return 1
}
return count
}
var errMissingModel = &aiError{"缺少模型名称"}
func resolveAIProxyPath(baseURL string, modelName string, path string) string {
if !isArkSeedanceVideo(baseURL, modelName) {
return path
}
if path == "/videos" {
return "/contents/generations/tasks"
}
if strings.HasPrefix(path, "/videos/") && !strings.HasSuffix(path, "/content") {
return "/contents/generations/tasks/" + strings.TrimPrefix(path, "/videos/")
}
return path
}
func isArkSeedanceVideo(baseURL string, modelName string) bool {
base := strings.ToLower(baseURL)
model := strings.ToLower(modelName)
return strings.Contains(model, "seedance") || strings.Contains(model, "doubao-seedance") || strings.Contains(base, "/api/plan/v3")
}
func aiStatusMessage(statusCode int) string {
switch statusCode {
case http.StatusUnauthorized, http.StatusForbidden:
return "AI 接口鉴权失败,请检查 API Key、套餐权限或模型权限"
case http.StatusTooManyRequests:
return "AI 接口限流或额度不足,请稍后重试或检查额度"
default:
return "AI 接口请求失败"
}
}
func aiUpstreamStatusMessage(statusCode int, body []byte) string {
base := aiStatusMessage(statusCode)
detail := aiUpstreamErrorDetail(body)
if detail == "" {
return base
}
return base + "" + detail
}
func aiUpstreamErrorDetail(body []byte) string {
text := strings.TrimSpace(string(body))
if text == "" {
return ""
}
var payload struct {
Msg string `json:"msg"`
Message string `json:"message"`
Error struct {
Code string `json:"code"`
Message string `json:"message"`
} `json:"error"`
}
if err := json.Unmarshal(body, &payload); err == nil {
if payload.Error.Message != "" {
if detail := friendlyUpstreamError(payload.Error.Code, payload.Error.Message); detail != "" {
return safeUpstreamText(detail)
}
if payload.Error.Code != "" {
return safeUpstreamText(payload.Error.Code + " " + payload.Error.Message)
}
return safeUpstreamText(payload.Error.Message)
}
if payload.Msg != "" {
return safeUpstreamText(payload.Msg)
}
if payload.Message != "" {
return safeUpstreamText(payload.Message)
}
}
return safeUpstreamText(text)
}
func friendlyUpstreamError(code string, message string) string {
lowerCode := strings.ToLower(strings.TrimSpace(code))
if strings.Contains(lowerCode, "inputvideosensitivecontentdetected") || strings.Contains(lowerCode, "privacyinformation") {
return strings.TrimSpace(code + " 参考视频疑似包含真人或隐私信息,火山方舟拒绝使用普通 URL 作为真人视频参考;请改用不含真人的视频、官方允许的模型产物,或已授权的 asset:// 素材。原始错误:" + message)
}
return ""
}
func safeUpstreamText(text string) string {
text = strings.Join(strings.Fields(strings.TrimSpace(text)), " ")
runes := []rune(text)
if len(runes) > 300 {
return string(runes[:300]) + "..."
}
return text
}
type aiError struct {
message string
}
func (err *aiError) Error() string {
return err.message
}
-27
View File
@@ -1,27 +0,0 @@
package handler
import (
"strings"
"testing"
)
func TestAIUpstreamErrorDetail(t *testing.T) {
got := aiUpstreamErrorDetail([]byte(`{"error":{"code":"InvalidParameter","message":"reference video fps is invalid"}}`))
if got != "InvalidParameter reference video fps is invalid" {
t.Fatalf("detail = %q", got)
}
}
func TestAIUpstreamErrorDetailExplainsSensitiveVideo(t *testing.T) {
got := aiUpstreamErrorDetail([]byte(`{"error":{"code":"InputVideoSensitiveContentDetected.PrivacyInformation","message":"The request failed because the input video may contain real person."}}`))
if !strings.Contains(got, "参考视频疑似包含真人") || !strings.Contains(got, "asset://") {
t.Fatalf("detail = %q", got)
}
}
func TestSafeUpstreamTextTruncates(t *testing.T) {
got := safeUpstreamText(strings.Repeat("错", 320))
if len([]rune(got)) != 303 {
t.Fatalf("truncated rune length = %d", len([]rune(got)))
}
}
-46
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@@ -1,46 +0,0 @@
package handler
import (
"encoding/json"
"net/http"
"github.com/basketikun/infinite-canvas/model"
"github.com/basketikun/infinite-canvas/service"
)
func Assets(w http.ResponseWriter, r *http.Request) {
result, err := service.ListAssets(parseQuery(r))
if err != nil {
FailError(w, err)
return
}
OK(w, result)
}
func AdminAssets(w http.ResponseWriter, r *http.Request) {
result, err := service.ListAssets(parseQuery(r))
if err != nil {
FailError(w, err)
return
}
OK(w, result)
}
func AdminSaveAsset(w http.ResponseWriter, r *http.Request) {
var item model.Asset
_ = json.NewDecoder(r.Body).Decode(&item)
result, err := service.SaveAsset(item)
if err != nil {
FailError(w, err)
return
}
OK(w, result)
}
func AdminDeleteAsset(w http.ResponseWriter, r *http.Request, id string) {
if err := service.DeleteAsset(id); err != nil {
FailError(w, err)
return
}
OK(w, true)
}
-186
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@@ -1,186 +0,0 @@
package handler
import (
"encoding/json"
"net/http"
"net/url"
"strings"
"github.com/basketikun/infinite-canvas/model"
"github.com/basketikun/infinite-canvas/service"
)
type loginRequest struct {
Username string `json:"username"`
Password string `json:"password"`
}
type registerRequest struct {
Username string `json:"username"`
Password string `json:"password"`
}
type saveUserRequest struct {
ID string `json:"id"`
Username string `json:"username"`
Password string `json:"password"`
Email string `json:"email"`
DisplayName string `json:"displayName"`
Role model.UserRole `json:"role"`
Status model.UserStatus `json:"status"`
}
type adjustUserCreditsRequest struct {
Credits int `json:"credits"`
}
func Register(w http.ResponseWriter, r *http.Request) {
var request registerRequest
_ = json.NewDecoder(r.Body).Decode(&request)
session, err := service.Register(request.Username, request.Password)
if err != nil {
FailError(w, err)
return
}
OK(w, session)
}
func Login(w http.ResponseWriter, r *http.Request) {
var request loginRequest
_ = json.NewDecoder(r.Body).Decode(&request)
session, err := service.Login(request.Username, request.Password)
if err != nil {
FailError(w, err)
return
}
OK(w, session)
}
func LinuxDoAuthorize(w http.ResponseWriter, r *http.Request) {
authURL, err := service.LinuxDoAuthorizeURL(r, r.URL.Query().Get("redirect"))
if err != nil {
FailError(w, err)
return
}
http.Redirect(w, r, authURL, http.StatusFound)
}
func LinuxDoCallback(w http.ResponseWriter, r *http.Request) {
session, redirect, err := service.LoginWithLinuxDo(r, r.URL.Query().Get("code"), r.URL.Query().Get("state"))
if err != nil {
http.Redirect(w, r, loginRedirect(r, redirect, "", err.Error()), http.StatusFound)
return
}
http.Redirect(w, r, loginRedirect(r, redirect, session.Token, ""), http.StatusFound)
}
func AdminLogin(w http.ResponseWriter, r *http.Request) {
var request loginRequest
_ = json.NewDecoder(r.Body).Decode(&request)
session, err := service.Login(request.Username, request.Password)
if err != nil {
FailError(w, err)
return
}
if session.User.Role != model.UserRoleAdmin {
Fail(w, "需要管理员权限")
return
}
OK(w, session)
}
func CurrentUser(w http.ResponseWriter, r *http.Request) {
if user, ok := service.UserFromContext(r.Context()); ok {
OK(w, user)
return
}
OK(w, service.GuestUser())
}
func AdminUsers(w http.ResponseWriter, r *http.Request) {
users, err := service.ListUsers(parseQuery(r))
if err != nil {
FailError(w, err)
return
}
OK(w, users)
}
func AdminSaveUser(w http.ResponseWriter, r *http.Request) {
var request saveUserRequest
_ = json.NewDecoder(r.Body).Decode(&request)
user, err := service.SaveUser(model.User{
ID: request.ID,
Username: request.Username,
Email: request.Email,
DisplayName: request.DisplayName,
Role: request.Role,
Status: request.Status,
}, request.Password)
if err != nil {
FailError(w, err)
return
}
OK(w, user)
}
func AdminAdjustUserCredits(w http.ResponseWriter, r *http.Request, id string) {
var request adjustUserCreditsRequest
_ = json.NewDecoder(r.Body).Decode(&request)
user, err := service.AdjustUserCredits(id, request.Credits)
if err != nil {
FailError(w, err)
return
}
OK(w, user)
}
func AdminCreditLogs(w http.ResponseWriter, r *http.Request) {
logs, err := service.ListCreditLogs(parseQuery(r))
if err != nil {
FailError(w, err)
return
}
OK(w, logs)
}
func AdminSaveCreditLog(w http.ResponseWriter, r *http.Request) {
var log model.CreditLog
_ = json.NewDecoder(r.Body).Decode(&log)
result, err := service.SaveCreditLog(log)
if err != nil {
FailError(w, err)
return
}
OK(w, result)
}
func AdminDeleteCreditLog(w http.ResponseWriter, r *http.Request, id string) {
if err := service.DeleteCreditLog(id); err != nil {
FailError(w, err)
return
}
OK(w, true)
}
func loginRedirect(r *http.Request, redirect string, token string, message string) string {
values := url.Values{}
if strings.TrimSpace(token) != "" {
values.Set("token", token)
}
if strings.TrimSpace(message) != "" {
values.Set("error", message)
}
if strings.TrimSpace(redirect) != "" {
values.Set("redirect", redirect)
}
return service.RequestOrigin(r) + "/login?" + values.Encode()
}
func AdminDeleteUser(w http.ResponseWriter, r *http.Request, id string) {
if err := service.DeleteUser(id); err != nil {
FailError(w, err)
return
}
OK(w, true)
}
-238
View File
@@ -1,238 +0,0 @@
package handler
import (
"fmt"
"io"
"net/http"
"os"
"path/filepath"
"strings"
"github.com/basketikun/infinite-canvas/config"
"github.com/google/uuid"
)
const (
referenceMediaMaxBytes = 80 << 20
referenceImageMaxBytes = 30 << 20
referenceVideoMaxBytes = 50 << 20
referenceAudioMaxBytes = 15 << 20
referenceImageAllowedText = "jpeg/png/webp/bmp/gif/heic/heif 图片"
referenceVideoAllowedText = "mp4/mov 视频"
referenceAudioAllowedText = "mp3/wav 音频"
referenceMediaAllowedText = referenceImageAllowedText + "、" + referenceVideoAllowedText + "或" + referenceAudioAllowedText
)
type referenceMediaUploadResult struct {
ID string `json:"id"`
URL string `json:"url"`
MimeType string `json:"mimeType"`
Bytes int64 `json:"bytes"`
}
func UploadReferenceMedia(w http.ResponseWriter, r *http.Request) {
publicBaseURL := strings.TrimRight(strings.TrimSpace(config.Cfg.PublicBaseURL), "/")
if publicBaseURL == "" {
Fail(w, "未配置 PUBLIC_BASE_URL,无法把本地参考素材提供给火山方舟访问")
return
}
r.Body = http.MaxBytesReader(w, r.Body, referenceMediaMaxBytes+1)
if err := r.ParseMultipartForm(referenceMediaMaxBytes); err != nil {
Fail(w, "参考素材过大或上传格式不正确")
return
}
if r.MultipartForm != nil {
defer r.MultipartForm.RemoveAll()
}
file, header, err := r.FormFile("file")
if err != nil {
Fail(w, "请上传参考图片或视频")
return
}
defer file.Close()
mimeType, ext, ok := normalizeReferenceMediaType(header.Header.Get("Content-Type"), filepath.Ext(header.Filename))
if !ok {
Fail(w, "参考素材格式不支持,请使用 "+referenceMediaAllowedText)
return
}
if err := os.MkdirAll(referenceMediaDir(), 0o755); err != nil {
Fail(w, "参考素材保存失败")
return
}
id := uuid.NewString() + ext
targetPath := filepath.Join(referenceMediaDir(), id)
target, err := os.OpenFile(targetPath, os.O_WRONLY|os.O_CREATE|os.O_EXCL, 0o644)
if err != nil {
Fail(w, "参考素材保存失败")
return
}
bytes, copyErr := io.Copy(target, file)
closeErr := target.Close()
if copyErr != nil || closeErr != nil {
_ = os.Remove(targetPath)
Fail(w, "参考素材保存失败")
return
}
if bytes <= 0 {
_ = os.Remove(targetPath)
Fail(w, "参考素材为空")
return
}
if limit := referenceMediaTypeMaxBytes(mimeType); limit > 0 && bytes > limit {
_ = os.Remove(targetPath)
Fail(w, referenceMediaSizeMessage(mimeType))
return
}
OK(w, referenceMediaUploadResult{
ID: id,
URL: fmt.Sprintf("%s/api/media/references/%s", publicBaseURL, id),
MimeType: mimeType,
Bytes: bytes,
})
}
func ReferenceMedia(w http.ResponseWriter, r *http.Request, id string) {
if id == "" || id != filepath.Base(id) || strings.Contains(id, "..") {
http.NotFound(w, r)
return
}
path := filepath.Join(referenceMediaDir(), id)
file, err := os.Open(path)
if err != nil {
http.NotFound(w, r)
return
}
defer file.Close()
info, err := file.Stat()
if err != nil || info.IsDir() {
http.NotFound(w, r)
return
}
if mimeType := mimeTypeByReferenceMediaExt(filepath.Ext(id)); mimeType != "" {
w.Header().Set("Content-Type", mimeType)
}
w.Header().Set("Cache-Control", "public, max-age=86400")
http.ServeContent(w, r, id, info.ModTime(), file)
}
func referenceMediaDir() string {
return filepath.Join(referenceDataDir(), "reference-media")
}
func referenceDataDir() string {
driver := strings.ToLower(strings.TrimSpace(config.Cfg.StorageDriver))
dsn := strings.TrimSpace(config.Cfg.DatabaseDSN)
if (driver == "" || driver == "sqlite") && dsn != "" && dsn != ":memory:" && !strings.HasPrefix(dsn, "file:") {
pathPart := dsn
if index := strings.Index(dsn, "?"); index >= 0 {
pathPart = dsn[:index]
}
if filepath.IsAbs(pathPart) {
return filepath.Dir(pathPart)
}
}
if _, err := os.Stat("/app/data"); err == nil {
return "/app/data"
}
return "data"
}
func normalizeReferenceMediaType(contentType string, ext string) (string, string, bool) {
contentType = strings.ToLower(strings.TrimSpace(strings.Split(contentType, ";")[0]))
ext = strings.ToLower(strings.TrimSpace(ext))
if contentType == "" || contentType == "application/octet-stream" {
contentType = mimeTypeByReferenceMediaExt(ext)
}
if fixedExt := referenceMediaExtByMimeType(contentType); fixedExt != "" {
return contentType, fixedExt, true
}
if mimeType := mimeTypeByReferenceMediaExt(ext); mimeType != "" {
return mimeType, ext, true
}
return "", "", false
}
func referenceMediaExtByMimeType(mimeType string) string {
switch strings.ToLower(mimeType) {
case "image/jpeg", "image/jpg":
return ".jpg"
case "image/png":
return ".png"
case "image/webp":
return ".webp"
case "image/bmp":
return ".bmp"
case "image/gif":
return ".gif"
case "image/heic":
return ".heic"
case "image/heif":
return ".heif"
case "video/mp4":
return ".mp4"
case "video/quicktime", "video/mov":
return ".mov"
case "audio/mpeg", "audio/mp3":
return ".mp3"
case "audio/wav", "audio/x-wav", "audio/wave":
return ".wav"
default:
return ""
}
}
func mimeTypeByReferenceMediaExt(ext string) string {
switch strings.ToLower(ext) {
case ".jpg", ".jpeg":
return "image/jpeg"
case ".png":
return "image/png"
case ".webp":
return "image/webp"
case ".bmp":
return "image/bmp"
case ".gif":
return "image/gif"
case ".heic":
return "image/heic"
case ".heif":
return "image/heif"
case ".mp4":
return "video/mp4"
case ".mov":
return "video/quicktime"
case ".mp3":
return "audio/mpeg"
case ".wav":
return "audio/wav"
default:
return ""
}
}
func referenceMediaTypeMaxBytes(mimeType string) int64 {
if strings.HasPrefix(mimeType, "image/") {
return referenceImageMaxBytes
}
if strings.HasPrefix(mimeType, "video/") {
return referenceVideoMaxBytes
}
if strings.HasPrefix(mimeType, "audio/") {
return referenceAudioMaxBytes
}
return referenceMediaMaxBytes
}
func referenceMediaSizeMessage(mimeType string) string {
if strings.HasPrefix(mimeType, "image/") {
return "参考图片超过大小限制,请使用 30MB 以内的图片"
}
if strings.HasPrefix(mimeType, "video/") {
return "参考视频超过大小限制,请使用 50MB 以内的 mp4/mov 视频"
}
if strings.HasPrefix(mimeType, "audio/") {
return "参考音频超过大小限制,请使用 15MB 以内的 mp3/wav 音频"
}
return "参考素材超过大小限制"
}
-56
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@@ -1,56 +0,0 @@
package handler
import (
"path/filepath"
"testing"
"github.com/basketikun/infinite-canvas/config"
)
func TestNormalizeReferenceMediaTypeSupportsAudio(t *testing.T) {
tests := []struct {
name string
contentType string
ext string
wantMime string
wantExt string
}{
{name: "mp3 mime", contentType: "audio/mpeg", ext: ".bin", wantMime: "audio/mpeg", wantExt: ".mp3"},
{name: "wav ext fallback", contentType: "application/octet-stream", ext: ".wav", wantMime: "audio/wav", wantExt: ".wav"},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
mimeType, ext, ok := normalizeReferenceMediaType(tt.contentType, tt.ext)
if !ok {
t.Fatal("expected media type to be accepted")
}
if mimeType != tt.wantMime || ext != tt.wantExt {
t.Fatalf("got (%q, %q), want (%q, %q)", mimeType, ext, tt.wantMime, tt.wantExt)
}
})
}
}
func TestReferenceMediaTypeMaxBytes(t *testing.T) {
if got := referenceMediaTypeMaxBytes("audio/mpeg"); got != referenceAudioMaxBytes {
t.Fatalf("audio max bytes = %d, want %d", got, referenceAudioMaxBytes)
}
if got := referenceMediaTypeMaxBytes("video/mp4"); got != referenceVideoMaxBytes {
t.Fatalf("video max bytes = %d, want %d", got, referenceVideoMaxBytes)
}
if got := referenceMediaTypeMaxBytes("image/png"); got != referenceImageMaxBytes {
t.Fatalf("image max bytes = %d, want %d", got, referenceImageMaxBytes)
}
}
func TestReferenceMediaDirUsesAbsoluteSQLiteDataDir(t *testing.T) {
previous := config.Cfg
t.Cleanup(func() { config.Cfg = previous })
root := t.TempDir()
config.Cfg = config.Config{StorageDriver: "sqlite", DatabaseDSN: filepath.Join(root, "infinite-canvas.db")}
if got := referenceMediaDir(); got != filepath.Join(root, "reference-media") {
t.Fatalf("referenceMediaDir = %q", got)
}
}
-16
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@@ -1,16 +0,0 @@
package handler
import (
"net/http"
"github.com/basketikun/infinite-canvas/service"
)
func Prompts(w http.ResponseWriter, r *http.Request) {
result, err := service.ListPrompts(parseQuery(r))
if err != nil {
FailError(w, err)
return
}
OK(w, result)
}
-52
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@@ -1,52 +0,0 @@
package handler
import (
"encoding/json"
"log"
"net/http"
"strconv"
"github.com/basketikun/infinite-canvas/model"
)
type response struct {
Code int `json:"code"`
Data any `json:"data"`
Msg string `json:"msg"`
}
func OK(w http.ResponseWriter, data any) {
writeJSON(w, response{Code: 0, Data: data, Msg: "ok"})
}
func Fail(w http.ResponseWriter, msg string) {
writeJSON(w, response{Code: 1, Data: nil, Msg: msg})
}
func FailError(w http.ResponseWriter, err error) {
log.Printf("request failed: %v", err)
if safe, ok := err.(interface{ SafeMessage() string }); ok {
Fail(w, safe.SafeMessage())
return
}
Fail(w, "操作失败")
}
func writeJSON(w http.ResponseWriter, value any) {
w.Header().Set("Content-Type", "application/json")
_ = json.NewEncoder(w).Encode(value)
}
func parseQuery(r *http.Request) model.Query {
q := r.URL.Query()
page, _ := strconv.Atoi(q.Get("page"))
pageSize, _ := strconv.Atoi(q.Get("pageSize"))
return model.Query{
Keyword: q.Get("keyword"),
Tags: q["tag"],
Category: q.Get("category"),
Type: q.Get("type"),
Page: page,
PageSize: pageSize,
}
}
-66
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@@ -1,66 +0,0 @@
package handler
import (
"encoding/json"
"net/http"
"github.com/basketikun/infinite-canvas/model"
"github.com/basketikun/infinite-canvas/service"
)
type adminChannelActionRequest struct {
Index *int `json:"index"`
Channel model.ModelChannel `json:"channel"`
Model string `json:"model"`
}
func Settings(w http.ResponseWriter, r *http.Request) {
settings, err := service.PublicSettings()
if err != nil {
FailError(w, err)
return
}
OK(w, settings)
}
func AdminSettings(w http.ResponseWriter, r *http.Request) {
settings, err := service.AdminSettings()
if err != nil {
FailError(w, err)
return
}
OK(w, settings)
}
func AdminSaveSettings(w http.ResponseWriter, r *http.Request) {
var settings model.Settings
_ = json.NewDecoder(r.Body).Decode(&settings)
result, err := service.SaveSettings(settings)
if err != nil {
FailError(w, err)
return
}
OK(w, result)
}
func AdminChannelModels(w http.ResponseWriter, r *http.Request) {
var request adminChannelActionRequest
_ = json.NewDecoder(r.Body).Decode(&request)
models, err := service.AdminChannelModels(request.Index, request.Channel)
if err != nil {
FailError(w, err)
return
}
OK(w, models)
}
func AdminTestChannelModel(w http.ResponseWriter, r *http.Request) {
var request adminChannelActionRequest
_ = json.NewDecoder(r.Body).Decode(&request)
result, err := service.AdminTestChannelModel(request.Index, request.Channel, request.Model)
if err != nil {
FailError(w, err)
return
}
OK(w, result)
}
-20
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@@ -1,20 +0,0 @@
package main
import (
"log"
"github.com/basketikun/infinite-canvas/config"
"github.com/basketikun/infinite-canvas/router"
"github.com/basketikun/infinite-canvas/service"
)
func main() {
if err := config.Load(); err != nil {
log.Fatal(err)
}
if err := service.EnsureDefaultAdmin(); err != nil {
log.Fatal(err)
}
service.StartPromptSyncScheduler()
log.Fatal(router.New().Run(":" + config.Cfg.Port))
}
-52
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@@ -1,52 +0,0 @@
package middleware
import (
"net/http"
"strings"
"github.com/basketikun/infinite-canvas/handler"
"github.com/basketikun/infinite-canvas/model"
"github.com/basketikun/infinite-canvas/service"
"github.com/gin-gonic/gin"
)
func AdminAuth(c *gin.Context) {
user, ok := authUser(c)
if !ok || user.Role != model.UserRoleAdmin {
handler.Fail(c.Writer, "未登录或权限不足")
c.Abort()
return
}
c.Request = c.Request.WithContext(service.WithUser(c.Request.Context(), user))
c.Next()
}
func UserAuth(c *gin.Context) {
user, ok := authUser(c)
if !ok || user.Role == model.UserRoleGuest {
handler.Fail(c.Writer, "未登录或权限不足")
c.Abort()
return
}
c.Request = c.Request.WithContext(service.WithUser(c.Request.Context(), user))
c.Next()
}
func OptionalAuth(c *gin.Context) {
if user, ok := authUser(c); ok {
c.Request = c.Request.WithContext(service.WithUser(c.Request.Context(), user))
}
c.Next()
}
func NotFoundJSON(c *gin.Context) {
c.JSON(http.StatusNotFound, gin.H{"code": 1, "data": nil, "msg": "接口不存在"})
}
func authUser(c *gin.Context) (model.AuthUser, bool) {
token := strings.TrimPrefix(c.GetHeader("Authorization"), "Bearer ")
if strings.TrimSpace(token) == "" {
return model.AuthUser{}, false
}
return service.CurrentAuthUser(token)
}
-30
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@@ -1,30 +0,0 @@
package model
type AssetType string
const (
AssetTypeText AssetType = "text"
AssetTypeImage AssetType = "image"
)
// Asset 素材记录。
type Asset struct {
ID string `json:"id" gorm:"primaryKey"`
Title string `json:"title"`
Type AssetType `json:"type"`
CoverURL string `json:"coverUrl"`
Tags []string `json:"tags" gorm:"serializer:json"`
Category string `json:"category"`
Description string `json:"description"`
Content string `json:"content,omitempty"`
URL string `json:"url,omitempty"`
CreatedAt string `json:"createdAt"`
UpdatedAt string `json:"updatedAt"`
}
// AssetList 素材分页结果。
type AssetList struct {
Items []Asset `json:"items"`
Tags []string `json:"tags"`
Total int `json:"total"`
}
-33
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@@ -1,33 +0,0 @@
package model
// Prompt 提示词记录。
type Prompt struct {
ID string `json:"id" gorm:"primaryKey"`
Title string `json:"title"`
CoverURL string `json:"coverUrl"`
Prompt string `json:"prompt"`
Tags []string `json:"tags" gorm:"serializer:json"`
Category string `json:"category" gorm:"index"`
GithubURL string `json:"githubUrl" gorm:"-"`
Preview string `json:"preview"`
CreatedAt string `json:"createdAt"`
UpdatedAt string `json:"updatedAt"`
}
// PromptList 提示词分页结果。
type PromptList struct {
Items []Prompt `json:"items"`
Tags []string `json:"tags"`
Categories []string `json:"categories"`
Total int `json:"total"`
}
// PromptCategory 提示词分类。
type PromptCategory struct {
Category string `json:"category" gorm:"primaryKey"`
Name string `json:"name"`
Description string `json:"description"`
GithubURL string `json:"githubUrl"`
Remote bool `json:"remote"`
UpdatedAt string `json:"updatedAt"`
}
-29
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@@ -1,29 +0,0 @@
package model
const MaxPageSize = 500
// Query 列表筛选和分页参数。
type Query struct {
Keyword string
Tags []string
Category string
Type string
Page int
PageSize int
}
func (q *Query) Normalize() {
if q.Page < 1 {
q.Page = 1
}
if q.PageSize < 1 {
q.PageSize = 20
}
if q.PageSize > MaxPageSize {
q.PageSize = MaxPageSize
}
}
func (q *Query) Offset() int {
return (q.Page - 1) * q.PageSize
}
-91
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@@ -1,91 +0,0 @@
package model
import "encoding/json"
type SettingKey string
const (
SettingKeyPublic SettingKey = "public"
SettingKeyPrivate SettingKey = "private"
)
// ModelChannel 模型渠道配置。
type ModelChannel struct {
Protocol string `json:"protocol"`
Name string `json:"name"`
BaseURL string `json:"baseUrl"`
APIKey string `json:"apiKey"`
Models []string `json:"models"`
Weight int `json:"weight"`
Enabled bool `json:"enabled"`
Remark string `json:"remark"`
}
// ModelCost 模型算力点配置。
type ModelCost struct {
Model string `json:"model"`
Credits int `json:"credits"`
}
// PublicModelChannelSetting 公开模型渠道配置。
type PublicModelChannelSetting struct {
AvailableModels []string `json:"availableModels"`
ModelCosts []ModelCost `json:"modelCosts"`
DefaultModel string `json:"defaultModel"`
DefaultImageModel string `json:"defaultImageModel"`
DefaultVideoModel string `json:"defaultVideoModel"`
DefaultTextModel string `json:"defaultTextModel"`
SystemPrompt string `json:"systemPrompt"`
AllowCustomChannel *bool `json:"allowCustomChannel"`
}
// PublicSetting 公开配置。
type PublicSetting struct {
ModelChannel PublicModelChannelSetting `json:"modelChannel"`
Auth PublicAuthSetting `json:"auth"`
}
type PublicAuthSetting struct {
AllowRegister *bool `json:"allowRegister"`
LinuxDo PublicLinuxDoAuthSetting `json:"linuxDo"`
}
type PublicLinuxDoAuthSetting struct {
Enabled bool `json:"enabled"`
}
// PrivateSetting 私有配置。
type PrivateSetting struct {
Channels []ModelChannel `json:"channels"`
PromptSync PromptSyncSetting `json:"promptSync"`
Auth PrivateAuthSetting `json:"auth"`
}
// PromptSyncSetting 提示词定时同步配置。
type PromptSyncSetting struct {
Enabled *bool `json:"enabled"`
Cron string `json:"cron"`
}
type PrivateAuthSetting struct {
LinuxDo PrivateLinuxDoAuthSetting `json:"linuxDo"`
}
type PrivateLinuxDoAuthSetting struct {
ClientID string `json:"clientId"`
ClientSecret string `json:"clientSecret"`
}
// Setting 系统配置。
type Setting struct {
Key SettingKey `json:"key" gorm:"primaryKey"`
Value json.RawMessage `json:"value" gorm:"serializer:json"`
CreatedAt string `json:"createdAt"`
UpdatedAt string `json:"updatedAt"`
}
// Settings 系统公开和私有配置。
type Settings struct {
Public PublicSetting `json:"public"`
Private PrivateSetting `json:"private"`
}
-102
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@@ -1,102 +0,0 @@
package model
type UserRole string
const (
UserRoleGuest UserRole = "guest"
UserRoleUser UserRole = "user"
UserRoleAdmin UserRole = "admin"
)
type UserStatus string
const (
UserStatusActive UserStatus = "active"
UserStatusBan UserStatus = "ban"
)
// User 系统用户。
type User struct {
ID string `json:"id" gorm:"primaryKey"`
Username string `json:"username" gorm:"uniqueIndex"`
Password string `json:"password,omitempty"`
Email string `json:"email"`
DisplayName string `json:"displayName"`
AvatarURL string `json:"avatarUrl"`
Role UserRole `json:"role"`
Credits int `json:"credits"`
AffCode string `json:"affCode" gorm:"uniqueIndex"`
AffCount int `json:"affCount"`
InviterID string `json:"inviterId"`
GithubID string `json:"githubId"`
LinuxDoID string `json:"linuxDoId" gorm:"index"`
WechatID string `json:"wechatId"`
Status UserStatus `json:"status"`
LastLoginAt string `json:"lastLoginAt"`
Extra string `json:"extra" gorm:"type:text"`
CreatedAt string `json:"createdAt"`
UpdatedAt string `json:"updatedAt"`
}
// UserList 用户分页结果。
type UserList struct {
Items []User `json:"items"`
Total int `json:"total"`
}
// AuthUser 用户公开信息。
type AuthUser struct {
ID string `json:"id"`
Username string `json:"username"`
DisplayName string `json:"displayName"`
AvatarURL string `json:"avatarUrl"`
Role UserRole `json:"role"`
Credits int `json:"credits"`
CreatedAt string `json:"createdAt"`
UpdatedAt string `json:"updatedAt"`
}
// AuthSession 登录会话信息。
type AuthSession struct {
Token string `json:"token"`
User AuthUser `json:"user"`
}
func PublicUser(user User) AuthUser {
return AuthUser{
ID: user.ID,
Username: user.Username,
DisplayName: user.DisplayName,
AvatarURL: user.AvatarURL,
Role: user.Role,
Credits: user.Credits,
CreatedAt: user.CreatedAt,
UpdatedAt: user.UpdatedAt,
}
}
type CreditLogType string
const (
CreditLogTypeAdminAdjust CreditLogType = "admin_adjust"
CreditLogTypeAIConsume CreditLogType = "ai_consume"
CreditLogTypeAIRefund CreditLogType = "ai_refund"
)
// CreditLog 用户算力点变更流水。
type CreditLog struct {
ID string `json:"id" gorm:"primaryKey"`
UserID string `json:"userId" gorm:"index"`
Type CreditLogType `json:"type"`
Amount int `json:"amount"`
Balance int `json:"balance"`
RelatedID string `json:"relatedId"`
Remark string `json:"remark"`
Extra string `json:"extra" gorm:"type:text"`
CreatedAt string `json:"createdAt"`
}
type CreditLogList struct {
Items []CreditLog `json:"items"`
Total int `json:"total"`
}
+15
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@@ -0,0 +1,15 @@
server {
listen 3000;
server_name _;
root /usr/share/nginx/html;
index index.html;
location / {
try_files $uri $uri/ /index.html;
}
# 运行期配置由容器启动时生成,禁止缓存,确保改环境变量后即时生效。
location = /config.js {
add_header Cache-Control "no-store";
}
}
+163
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@@ -0,0 +1,163 @@
# Infinite Canvas 画布节点插件
给画布扩展自定义节点。每个插件是一个**独立目录**,用 **TypeScript** 编写,自带 `package.json` / `build.mjs` / `src/index.tsx` / `dist/`,互不耦合,可单独构建、发布、升级。
内置节点只有文本、图片、视频、音频、生成配置、组六种;其余节点(Markdown、SVG、HTML、3D 全景、便利贴……)都是插件。
作者只写节点 UI 与逻辑,**类型、JSX、宿主 React、构建全部由 [`@infinite-canvas/plugin-sdk`](./sdk/README.md) 提供**,写 TSX 全程有代码提示;产物仍是宿主加载器现有契约的 ESM(React external、宿主单例)。
## 目录约定
```
plugins/canvas/
sdk/ # 插件 SDK(类型 + automatic JSX 运行时 + 构建助手)
template/ # 起步模板:复制它开始写新插件
markdown/ # 每个插件一个独立目录
package.json
build.mjs # 一行 buildPlugin,产物名取目录名 → dist/markdown.js
tsconfig.json
src/index.tsx # 插件源码(默认导出 definePlugin(...))
README.md
svg/ html/ panorama/ sticky-note/ ...
```
## 快速开始
```bash
cp -r plugins/canvas/template plugins/canvas/my-plugin
cd plugins/canvas/my-plugin
# 改 package.json 的 name;改 src/index.tsx 里的 id / nodes[].type
npm install
npm run dev # watch 构建,产物同步到 web/public/plugins/my-plugin.js
npm run typecheck # tsc --noEmit,类型自检
```
产物名取**目录名**,复制后记得把目录改成插件名。
## 构建 / 发布 / 升级
```bash
cd plugins/canvas/<name>
npm install
npm run build # → dist/<name>.js,并同步到 web/public/plugins/<name>.js
npm run dev # watch,改动自动构建并同步
```
`dist/<name>.js` 托管到任意静态地址(CDN、GitHub Raw、对象存储),用户在画布「节点插件」管理器填该 URL 安装。升级时重新构建覆盖同一 URL,用户点「更新」即可。
## 官方插件注册表
本项目官方插件由 CI 集中构建后发布到孤儿分支 `plugins-dist`(**构建产物不进 git**),画布「节点插件」面板顶部的**官方插件**区经 jsDelivr 从该分支远程拉取并一键安装;第三方插件仍走下方「第三方插件」的 JS URL 安装。构建脚本与发布说明见 [`registry/`](./registry/README.md);清单地址可用 `VITE_PLUGIN_REGISTRY_URL` 覆盖成自建来源。
## 本地开发
`npm run dev` 起 watch,产物会同步到 `web/public/plugins/<name>.js`。此后有两种方式在画布里用到它:
**方式一(推荐):自动发现。** 画布启动时会扫描 `web/public/plugins/` 下的插件,自动加入「节点插件」管理器列表,**默认关闭**;打开开关即启用。无需手动填 URL,启用时会按文件重新拉取,配合 watch 改完刷新即最新。
**方式二:`VITE_DEV_PLUGINS`。**`web/.env.local` 声明(逗号分隔多个),这些插件每次刷新页面都**重新拉取并直接激活**(不缓存、不落库、无开关):
```env
VITE_DEV_PLUGINS=/plugins/markdown.js,/plugins/svg.js
```
再起画布 `web`(`npm run dev`)。流程即:改 `src/index.tsx` → watch 自动构建 → 刷新画布看到最新效果,无需反复安装。
## 用 SDK 写插件
默认导出 `definePlugin({...})`(对象形式,**无需再 `const { React } = runtime`**):
```tsx
import { definePlugin, useState } from "@infinite-canvas/plugin-sdk";
import type { CanvasNodeContentProps } from "@infinite-canvas/plugin-sdk";
function Content({ ctx }: CanvasNodeContentProps) {
const [n, setN] = useState(0);
return (
<button onMouseDown={(e) => e.stopPropagation()} onClick={() => setN((v) => v + 1)} style={{ color: ctx.theme.node.text }}>
{ctx.node.title}: {n}
</button>
);
}
export default definePlugin({
id: "my-plugin",
name: "我的插件",
version: "1.0.0",
css: "…", // 可选:插件样式,自动注入/清理
nodes: [ /* CanvasNodeDefinition[] */ ],
setup(app) { return () => {}; }, // 可选,返回清理函数;app 含 injectCSS/emit/on
});
```
SDK 导出的 hooks(`useState/useEffect/useMemo/useRef/...`)运行时转发宿主 React,类型来自 `@types/react`。SDK 与依赖接入见 [`sdk/README.md`](./sdk/README.md)。
### CanvasNodeDefinition
```ts
{
type: string; // 建议 "<pluginId>:<name>",全局唯一
title: string; // 创建菜单/默认标题
icon: ReactNode; // emoji 字符串或任意 ReactNode
description?: string;
defaultSize: { width, height };
defaultMetadata?: object; // 新建节点初始 metadata(文本内容放 content)
minimapColor?: string;
showInCreateMenu?: boolean; // 默认 true
hasSourceHandle?: boolean; // 右侧输出连接点,默认 true
keepAspectRatio?: (node) => boolean;
resource?: (node) => { kind: "text"|"image"|"video"|"audio", text?, url? } | null; // 作为上游输入被消费时输出什么
Content: ({ ctx }) => ReactNode; // 节点主体渲染
Panel?: ({ ctx, onClose }) => ReactNode; // 可选:节点下方面板
toolbar?: (ctx) => Array<{ id, title, label, icon, onClick, danger? }>; // 追加到 hover 工具栏
onDoubleClick?: (ctx) => boolean; // 返回 true 表示已处理双击
}
```
### ctx:节点与画布交互接口
`Content` / `Panel` / `toolbar` 都会拿到 `ctx`(类型 `CanvasNodeContext`):
| 能力 | 说明 |
| --- | --- |
| `ctx.node` | 当前节点数据(含 `metadata.content` 等) |
| `ctx.theme` / `ctx.scale` | 当前画布主题 token 与缩放,用来让 UI 跟随主题 |
| `ctx.updateMetadata(patch)` | 更新自身 metadata(如保存内容) |
| `ctx.updateNode(patch)` | 更新自身 title/width/height |
| `ctx.getNode(id)` / `ctx.getNodes()` / `ctx.getConnections()` | 读画布 |
| `ctx.getUpstream()` / `ctx.getDownstream()` | 取上/下游相连节点 |
| `ctx.applyOps(ops)` | 用画布指令集增删节点/连线、选择、触发生成(见下) |
| `ctx.emit(event, payload)` / `ctx.on(event, handler)` | 节点/插件间事件通信 |
| `ctx.storage` | 插件私有持久化(按插件 id 命名空间) |
> `metadata` 的**内置字段**(content、status、model…)是强类型;插件写入的**自定义字段**读出为 `unknown`,按需 `as` 断言(参考 `sticky-note` 的 `pluginColor`)。
### 画布指令集(ctx.applyOps)
```ts
ctx.applyOps([
{ type: "add_node", id?, nodeType, title?, x?, y?, width?, height?, metadata? },
{ type: "update_node", id, patch?, metadata? },
{ type: "delete_node", id? | ids? },
{ type: "connect_nodes", fromNodeId, toNodeId },
{ type: "delete_connections", id? | ids? | all? },
{ type: "select_nodes", ids },
{ type: "set_viewport", viewport },
{ type: "run_generation", nodeId, mode?, prompt? },
]);
```
## 重依赖 / 资源
- **重依赖**(three.js、marked 等):不要打进 bundle,运行时 `await import("https://esm.sh/...")` 动态加载(esbuild 自动 external);在 `src/env.d.ts` 声明该模块以通过 tsc。参考 `panorama/``markdown/`
- **CSS**:写独立 `.css`,`import css from "./styles.css"` 拿到字符串(esbuild `text` loader),放到 `css` 字段自动注入/清理;`src/env.d.ts` 声明 `*.css`。参考 `markdown/`
- **HTML**:HTML 节点把 HTML 字符串塞进 sandbox iframe 的 `srcDoc`,自带 `<style>`,不需要插件级 CSS。参考 `html/`
## 兼容说明
加载器仍接受**默认导出为工厂函数** `(runtime) => CanvasPlugin`(用 `runtime.React`)或**普通对象**;老的 JS 插件无需改动即可运行。SDK 的 automatic JSX 让新插件走对象形式,更简洁。
## 注意
- 插件代码会在画布页面内**直接执行**,可访问浏览器本地数据(含 AI API Key)。发布前请自审,用户也只应安装可信来源。
- 交互控件记得 `onMouseDown={(e) => e.stopPropagation()}`(避免触发节点拖拽),滚动区域加 `onWheel={(e) => e.stopPropagation()}` 与容器 `data-canvas-no-zoom`(避免被画布缩放拦截)。
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# HTML 节点插件
Infinite Canvas 画布节点插件:用沙箱 iframe 渲染 HTML。源码里的 `{{input}}` 会被替换为上游文本节点内容。
## 构建
```bash
npm install
npm run build # 产物 dist/html.js,并同步到 web/public/plugins/html.js
npm run dev # watch
```
## 安装
画布 → 左上菜单「节点插件」→ 安装 URL 填 `/plugins/html.js`(或托管后的公网 URL)。
插件契约见 `plugins/canvas/README.md`
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import { buildPlugin } from "@infinite-canvas/plugin-sdk/build";
await buildPlugin(import.meta.url);
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{
"name": "canvas-plugin-html",
"version": "1.0.0",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"name": "canvas-plugin-html",
"version": "1.0.0",
"devDependencies": {
"@infinite-canvas/plugin-sdk": "file:../sdk",
"@types/react": "19.1.12",
"typescript": "^5"
}
},
"../sdk": {
"name": "@infinite-canvas/plugin-sdk",
"version": "0.1.0",
"dev": true,
"devDependencies": {
"@types/react": "19.1.12",
"esbuild": "^0.25.0",
"typescript": "^5"
},
"peerDependencies": {
"@types/react": ">=18"
}
},
"node_modules/@infinite-canvas/plugin-sdk": {
"resolved": "../sdk",
"link": true
},
"node_modules/@types/react": {
"version": "19.1.12",
"resolved": "https://registry.npmjs.org/@types/react/-/react-19.1.12.tgz",
"integrity": "sha512-cMoR+FoAf/Jyq6+Df2/Z41jISvGZZ2eTlnsaJRptmZ76Caldwy1odD4xTr/gNV9VLj0AWgg/nmkevIyUfIIq5w==",
"dev": true,
"license": "MIT",
"dependencies": {
"csstype": "^3.0.2"
}
},
"node_modules/csstype": {
"version": "3.2.3",
"resolved": "https://registry.npmjs.org/csstype/-/csstype-3.2.3.tgz",
"integrity": "sha512-z1HGKcYy2xA8AGQfwrn0PAy+PB7X/GSj3UVJW9qKyn43xWa+gl5nXmU4qqLMRzWVLFC8KusUX8T/0kCiOYpAIQ==",
"dev": true,
"license": "MIT"
},
"node_modules/typescript": {
"version": "5.9.3",
"resolved": "https://registry.npmjs.org/typescript/-/typescript-5.9.3.tgz",
"integrity": "sha512-jl1vZzPDinLr9eUt3J/t7V6FgNEw9QjvBPdysz9KfQDD41fQrC2Y4vKQdiaUpFT4bXlb1RHhLpp8wtm6M5TgSw==",
"dev": true,
"license": "Apache-2.0",
"bin": {
"tsc": "bin/tsc",
"tsserver": "bin/tsserver"
},
"engines": {
"node": ">=14.17"
}
}
}
}
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{
"name": "canvas-plugin-html",
"version": "1.2.0",
"private": true,
"type": "module",
"description": "Infinite Canvas HTML 节点插件",
"scripts": {
"build": "node build.mjs",
"dev": "node build.mjs --watch",
"typecheck": "tsc --noEmit"
},
"devDependencies": {
"@infinite-canvas/plugin-sdk": "file:../sdk",
"@types/react": "19.1.12",
"typescript": "^5"
}
}
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// HTML 节点:沙箱 iframe 渲染 HTML,{{input}} 会替换为上游文本节点内容。
// 交互:预览态 iframe 默认 pointer-events:none —— 鼠标事件穿透到宿主节点体,
// 因此点节点任意位置都能拖动,无需在节点上加任何标题栏/按钮。
// 「编辑/预览」与「交互」开关都放在节点外的悬浮工具条(toolbar 扩展点),状态存 metadata。
import { definePlugin, useMemo, useRef, useState } from "@infinite-canvas/plugin-sdk";
import type { CanvasNodeContentProps } from "@infinite-canvas/plugin-sdk";
// 源码编辑器行高/字号,行号槽与文本域必须完全一致才能对齐
const EDITOR_FONT = 12;
const EDITOR_LINE = 20;
function HtmlEditor({ ctx, value }: { ctx: CanvasNodeContentProps["ctx"]; value: string }) {
const gutterRef = useRef<HTMLDivElement>(null);
// 行数:按换行统计,至少 1 行;value 变化时重算
const lineCount = useMemo(() => Math.max(1, value.split("\n").length), [value]);
const [scrollTop, setScrollTop] = useState(0);
const codeStyle = { fontFamily: "monospace", fontSize: EDITOR_FONT, lineHeight: `${EDITOR_LINE}px`, boxSizing: "border-box" } as const;
return (
<div data-canvas-no-zoom style={{ height: "100%", width: "100%", display: "flex", overflow: "hidden", borderRadius: 16, background: ctx.theme.node.fill }} onMouseDown={(e) => e.stopPropagation()}>
{/* 行号槽:跟随文本域滚动,不可单独滚动 */}
<div
ref={gutterRef}
aria-hidden
style={{
...codeStyle,
flex: "0 0 auto",
padding: "16px 8px 16px 12px",
textAlign: "right",
color: ctx.theme.node.placeholder,
background: `${ctx.theme.toolbar.panel}66`,
borderRight: `1px solid ${ctx.theme.node.stroke}`,
overflow: "hidden",
userSelect: "none",
whiteSpace: "pre",
}}
>
{/* 用负 margin 让整列跟随 scrollTop 平移,和 textarea 同步 */}
<div style={{ transform: `translateY(${-scrollTop}px)` }}>
{Array.from({ length: lineCount }, (_, i) => (
<div key={i}>{i + 1}</div>
))}
</div>
</div>
<textarea
autoFocus
value={value}
placeholder="<div>Hello, {{input}}</div>"
spellCheck={false}
wrap="off"
onChange={(e) => ctx.updateMetadata({ content: e.target.value })}
onScroll={(e) => setScrollTop(e.currentTarget.scrollTop)}
onMouseDown={(e) => e.stopPropagation()}
onWheel={(e) => e.stopPropagation()}
style={{ ...codeStyle, flex: "1 1 auto", minWidth: 0, height: "100%", resize: "none", background: "transparent", padding: "16px 16px 16px 12px", outline: "none", border: "none", color: ctx.theme.node.text, whiteSpace: "pre", overflow: "auto" }}
/>
</div>
);
}
function HtmlContent({ ctx }: CanvasNodeContentProps) {
const value = ctx.node.metadata?.content || "";
const editing = Boolean(ctx.node.metadata?.editing);
const upstreamText = useMemo(
() =>
ctx
.getUpstream()
.map((node) => node.metadata?.content)
.filter(Boolean)
.join("\n"),
[ctx],
);
const html = value.replace(/\{\{\s*input\s*\}\}/g, upstreamText);
if (editing) {
return <HtmlEditor ctx={ctx} value={value} />;
}
if (!value) {
return (
<div style={{ height: "100%", width: "100%", display: "flex", flexDirection: "column", alignItems: "center", justifyContent: "center", gap: 8, color: ctx.theme.node.placeholder }}>
<span style={{ fontSize: 26 }}>{"</>"}</span>
<span style={{ fontSize: 13 }}>, HTML</span>
</div>
);
}
// 预览态:iframe 的鼠标交互由宿主「交互 ⇄ 移动」开关统一控制(见 interactionToggle),
// 这里无需再手动做 pointer-events 穿透。data-canvas-no-zoom 保证交互时滚动作用于页面而非缩放画布。
return (
<div data-canvas-no-zoom style={{ position: "relative", height: "100%", width: "100%" }}>
<iframe
title="html-preview"
sandbox="allow-scripts allow-forms"
srcDoc={html}
style={{ height: "100%", width: "100%", border: 0, borderRadius: 16, background: "#fff", display: "block" }}
/>
</div>
);
}
export default definePlugin({
id: "html",
name: "HTML 节点",
version: "1.2.0",
description: "沙箱 iframe 渲染 HTML,支持 {{input}} 注入上游文本",
nodes: [
{
type: "html:render",
title: "HTML",
icon: "🌐",
description: "沙箱渲染 HTML",
defaultSize: { width: 420, height: 320 },
defaultMetadata: { content: "" },
minimapColor: "#ec4899",
hidePanel: true, // 纯展示型节点:点击/新建不弹出下方生图面板
// 宿主统一提供「交互 ⇄ 移动」开关;编辑态强制可交互(编辑器始终可操作)并隐藏该开关
interactionToggle: true,
forceInteractive: (node) => Boolean(node.metadata?.editing),
Content: HtmlContent,
// 仅保留「编辑/预览」开关;交互/移动 由宿主自动注入
toolbar: (ctx) => {
const editing = Boolean(ctx.node.metadata?.editing);
return [
{
id: "html-toggle-edit",
title: editing ? "预览渲染结果" : "编辑 HTML 源码",
label: editing ? "预览" : "编辑",
icon: editing ? "👁" : "✎",
active: editing,
onClick: () => ctx.updateMetadata({ editing: !editing }),
},
];
},
},
],
});
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{
"compilerOptions": {
"target": "es2020",
"module": "esnext",
"moduleResolution": "bundler",
"lib": ["dom", "dom.iterable", "esnext"],
"jsx": "react-jsx",
"jsxImportSource": "@infinite-canvas/plugin-sdk",
"strict": true,
"skipLibCheck": true,
"noEmit": true,
"esModuleInterop": true,
"isolatedModules": true,
"types": []
},
"include": ["src"]
}
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# Markdown 节点插件
Infinite Canvas 画布节点插件:在画布里编辑与渲染 Markdown。
## 构建
```bash
npm install
npm run build # 产物 dist/markdown.js,并同步到 web/public/plugins/markdown.js
npm run dev # watch,改动自动构建
```
## 安装
画布 → 左上菜单「节点插件」→ 安装 URL 填 `/plugins/markdown.js`(或托管后的公网 URL)。
## 本地开发
`npm run dev` 起 watch,在 `web/.env.local``VITE_DEV_PLUGINS=/plugins/markdown.js`,起画布后改 `src/index.jsx` 刷新页面即生效,无需反复安装。
插件契约见 `plugins/canvas/README.md`
> 本插件演示了独立 CSS 文件用法:`src/styles.css` 经 esbuild `text` loader 打进 bundle,通过插件 `css` 字段自动注入/清理。
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import { buildPlugin } from "@infinite-canvas/plugin-sdk/build";
await buildPlugin(import.meta.url);
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{
"name": "canvas-plugin-markdown",
"version": "1.0.0",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"name": "canvas-plugin-markdown",
"version": "1.0.0",
"devDependencies": {
"@infinite-canvas/plugin-sdk": "file:../sdk",
"@types/react": "19.1.12",
"typescript": "^5"
}
},
"../sdk": {
"name": "@infinite-canvas/plugin-sdk",
"version": "0.1.0",
"dev": true,
"devDependencies": {
"@types/react": "19.1.12",
"esbuild": "^0.25.0",
"typescript": "^5"
},
"peerDependencies": {
"@types/react": ">=18"
}
},
"node_modules/@infinite-canvas/plugin-sdk": {
"resolved": "../sdk",
"link": true
},
"node_modules/@types/react": {
"version": "19.1.12",
"resolved": "https://registry.npmjs.org/@types/react/-/react-19.1.12.tgz",
"integrity": "sha512-cMoR+FoAf/Jyq6+Df2/Z41jISvGZZ2eTlnsaJRptmZ76Caldwy1odD4xTr/gNV9VLj0AWgg/nmkevIyUfIIq5w==",
"dev": true,
"license": "MIT",
"dependencies": {
"csstype": "^3.0.2"
}
},
"node_modules/csstype": {
"version": "3.2.3",
"resolved": "https://registry.npmjs.org/csstype/-/csstype-3.2.3.tgz",
"integrity": "sha512-z1HGKcYy2xA8AGQfwrn0PAy+PB7X/GSj3UVJW9qKyn43xWa+gl5nXmU4qqLMRzWVLFC8KusUX8T/0kCiOYpAIQ==",
"dev": true,
"license": "MIT"
},
"node_modules/typescript": {
"version": "5.9.3",
"resolved": "https://registry.npmjs.org/typescript/-/typescript-5.9.3.tgz",
"integrity": "sha512-jl1vZzPDinLr9eUt3J/t7V6FgNEw9QjvBPdysz9KfQDD41fQrC2Y4vKQdiaUpFT4bXlb1RHhLpp8wtm6M5TgSw==",
"dev": true,
"license": "Apache-2.0",
"bin": {
"tsc": "bin/tsc",
"tsserver": "bin/tsserver"
},
"engines": {
"node": ">=14.17"
}
}
}
}
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{
"name": "canvas-plugin-markdown",
"version": "1.1.0",
"private": true,
"type": "module",
"description": "Infinite Canvas Markdown 节点插件",
"scripts": {
"build": "node build.mjs",
"dev": "node build.mjs --watch",
"typecheck": "tsc --noEmit"
},
"devDependencies": {
"@infinite-canvas/plugin-sdk": "file:../sdk",
"@types/react": "19.1.12",
"typescript": "^5"
}
}
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// esbuild 以 text loader 把 .css 打成字符串
declare module "*.css" {
const css: string;
export default css;
}
// 重依赖从 CDN 动态加载,不打进 bundle;此处声明以便 TS 提示
declare module "https://esm.sh/marked@14" {
export const marked: { parse: (src: string) => string };
}
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// Markdown 节点:编辑与渲染 Markdown。marked 从 CDN 按需加载,不打进插件体积。
// 移动/交互:走宿主统一的「交互 ⇄ 移动」开关(interactionToggle)——默认「移动」态整块可拖,
// 切「交互」态可滚动/选择;编辑态强制可交互。
// 防闪烁:解析结果按源码模块级缓存,且只在 HTML 真正变化时写入 DOM——
// 画布任何重渲染都不会重新解析或重载 Markdown 里的图片。
// styles.css 由 esbuild 以 text 方式打进 bundle,通过 plugin.css 自动注入。
import { definePlugin, useEffect, useRef, useState } from "@infinite-canvas/plugin-sdk";
import type { CanvasNodeContentProps } from "@infinite-canvas/plugin-sdk";
import css from "./styles.css";
type Marked = { parse: (src: string) => string };
let marked: Marked | undefined; // 加载完成后的 marked 实例,模块级缓存,后续同步渲染
let markedPromise: Promise<Marked> | undefined;
function loadMarked(): Promise<Marked> {
if (marked) return Promise.resolve(marked);
if (!markedPromise) markedPromise = import("https://esm.sh/marked@14").then((mod: { marked: Marked }) => (marked = mod.marked));
return markedPromise;
}
const PLACEHOLDER = "*选中节点,点上方工具条的 ✎ 编辑 Markdown*";
// 解析结果按源码缓存(模块级):同一段 Markdown 只解析一次,重复渲染/重挂载都命中缓存,
// 返回的是同一个字符串引用,配合下方「值不变不写 DOM」彻底避免图片被重新请求。
const htmlCache = new Map<string, string>();
function renderMarkdown(source: string): string {
if (!marked) return "";
const key = source || PLACEHOLDER;
let out = htmlCache.get(key);
if (out === undefined) {
out = marked.parse(key);
htmlCache.set(key, out);
}
return out;
}
// 预览态:用 ref 手动写 innerHTML,且仅在 html 真正变化时写入。
// 这样宿主的任何重渲染(点击、移动视角、选中态变化等)都不会触碰已渲染的 DOM,图片不会重新加载。
function MarkdownPreview({ ctx }: CanvasNodeContentProps) {
const [, force] = useState(0);
const ref = useRef<HTMLDivElement>(null);
const lastHtml = useRef<string | null>(null);
// marked 未就绪时按需加载,加载完触发一次重渲染填充内容
useEffect(() => {
if (marked) return;
let alive = true;
loadMarked().then(() => alive && force((n) => n + 1));
return () => {
alive = false;
};
}, []);
const source = (ctx.node.metadata?.content as string | undefined) || "";
const html = renderMarkdown(source);
useEffect(() => {
const el = ref.current;
if (!el || lastHtml.current === html) return; // 内容没变:不动 DOM,已加载的图片保持原样
el.innerHTML = html;
lastHtml.current = html;
}, [html]);
return <div ref={ref} className="cnv-md" data-canvas-no-zoom onWheel={(e) => e.stopPropagation()} style={{ height: "100%", width: "100%", color: ctx.theme.node.text }} />;
}
function MarkdownEditor({ ctx }: CanvasNodeContentProps) {
const value = (ctx.node.metadata?.content as string | undefined) || "";
return (
<textarea
autoFocus
value={value}
placeholder="# 输入 Markdown"
onChange={(e) => ctx.updateMetadata({ content: e.target.value })}
onMouseDown={(e) => e.stopPropagation()}
onPointerDown={(e) => e.stopPropagation()}
onWheel={(e) => e.stopPropagation()}
style={{ height: "100%", width: "100%", resize: "none", background: ctx.theme.node.fill, borderRadius: 16, boxSizing: "border-box", padding: 16, fontFamily: "monospace", fontSize: 14, outline: "none", border: "none", color: ctx.theme.node.text }}
/>
);
}
function MarkdownContent({ ctx }: CanvasNodeContentProps) {
return ctx.node.metadata?.editing ? <MarkdownEditor ctx={ctx} /> : <MarkdownPreview ctx={ctx} />;
}
export default definePlugin({
id: "markdown",
name: "Markdown 节点",
version: "1.1.0",
description: "在画布中编辑与渲染 Markdown",
css,
nodes: [
{
type: "markdown:doc",
title: "Markdown",
icon: "📝",
description: "编辑与渲染 Markdown",
defaultSize: { width: 360, height: 300 },
defaultMetadata: { content: "" },
minimapColor: "#6366f1",
hidePanel: true, // 纯展示/编辑节点:不弹出下方生图面板
// 宿主统一提供「交互 ⇄ 移动」开关;编辑态强制可交互并隐藏该开关
interactionToggle: true,
forceInteractive: (node) => Boolean(node.metadata?.editing),
resource: (node) => ({ kind: "text", text: node.metadata?.content }),
Content: MarkdownContent,
// 仅保留「编辑/预览」开关(状态存 metadata.editing);交互/移动 由宿主自动注入
toolbar: (ctx) => {
const editing = Boolean(ctx.node.metadata?.editing);
return [
{
id: "md-toggle-edit",
title: editing ? "预览渲染结果" : "编辑 Markdown 源码",
label: editing ? "预览" : "编辑",
icon: editing ? "👁" : "✎",
active: editing,
onClick: () => ctx.updateMetadata({ editing: !editing }),
},
];
},
},
],
});
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.cnv-md {
height: 100%;
width: 100%;
overflow: auto;
padding: 16px;
font-size: 14px;
line-height: 1.6;
}
.cnv-md h1,
.cnv-md h2,
.cnv-md h3 {
margin: 0.6em 0 0.3em;
font-weight: 600;
line-height: 1.3;
}
.cnv-md h1 {
font-size: 1.5em;
}
.cnv-md h2 {
font-size: 1.3em;
}
.cnv-md p {
margin: 0.5em 0;
}
.cnv-md a {
color: #6366f1;
text-decoration: underline;
}
.cnv-md code {
padding: 0.1em 0.35em;
border-radius: 4px;
background: rgba(120, 120, 120, 0.16);
font-family: monospace;
font-size: 0.9em;
}
.cnv-md pre {
padding: 12px;
border-radius: 8px;
background: rgba(120, 120, 120, 0.14);
overflow: auto;
}
.cnv-md pre code {
padding: 0;
background: transparent;
}
.cnv-md ul,
.cnv-md ol {
padding-left: 1.4em;
margin: 0.5em 0;
}
.cnv-md blockquote {
margin: 0.5em 0;
padding-left: 0.8em;
border-left: 3px solid rgba(120, 120, 120, 0.4);
opacity: 0.85;
}
.cnv-md img {
max-width: 100%;
}

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