Compare commits
3 Commits
v1.6.4
...
feat/messa
| Author | SHA1 | Date | |
|---|---|---|---|
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d7e79353fc | ||
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93e972a5da | ||
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12d08e4748 |
6
.github/workflows/auto-i18n.yml
vendored
@@ -2,8 +2,8 @@ name: Auto I18N
|
||||
|
||||
env:
|
||||
API_KEY: ${{ secrets.TRANSLATE_API_KEY }}
|
||||
MODEL: ${{ vars.AUTO_I18N_MODEL || 'deepseek/deepseek-v3.1'}}
|
||||
BASE_URL: ${{ vars.AUTO_I18N_BASE_URL || 'https://api.ppinfra.com/openai'}}
|
||||
MODEL: ${{ vars.MODEL || 'deepseek/deepseek-v3.1'}}
|
||||
BASE_URL: ${{ vars.BASE_URL || 'https://api.ppinfra.com/openai'}}
|
||||
|
||||
on:
|
||||
pull_request:
|
||||
@@ -26,7 +26,7 @@ jobs:
|
||||
ref: ${{ github.event.pull_request.head.ref }}
|
||||
|
||||
- name: 📦 Setting Node.js
|
||||
uses: actions/setup-node@v5
|
||||
uses: actions/setup-node@v4
|
||||
with:
|
||||
node-version: 20
|
||||
|
||||
|
||||
2
.github/workflows/claude-code-review.yml
vendored
@@ -27,7 +27,7 @@ jobs:
|
||||
|
||||
steps:
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@v5
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
fetch-depth: 1
|
||||
|
||||
|
||||
2
.github/workflows/claude-translator.yml
vendored
@@ -29,7 +29,7 @@ jobs:
|
||||
|
||||
steps:
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@v5
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
fetch-depth: 1
|
||||
|
||||
|
||||
2
.github/workflows/claude.yml
vendored
@@ -37,7 +37,7 @@ jobs:
|
||||
actions: read # Required for Claude to read CI results on PRs
|
||||
steps:
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@v5
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
fetch-depth: 1
|
||||
|
||||
|
||||
2
.github/workflows/delete-branch.yml
vendored
@@ -12,7 +12,7 @@ jobs:
|
||||
if: github.event.pull_request.merged == true && github.event.pull_request.head.repo.full_name == github.repository
|
||||
steps:
|
||||
- name: Delete merged branch
|
||||
uses: actions/github-script@v8
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
script: |
|
||||
github.rest.git.deleteRef({
|
||||
|
||||
26
.github/workflows/nightly-build.yml
vendored
@@ -56,7 +56,7 @@ jobs:
|
||||
ref: main
|
||||
|
||||
- name: Install Node.js
|
||||
uses: actions/setup-node@v5
|
||||
uses: actions/setup-node@v4
|
||||
with:
|
||||
node-version: 20
|
||||
|
||||
@@ -99,9 +99,9 @@ jobs:
|
||||
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
NODE_OPTIONS: --max-old-space-size=8192
|
||||
MAIN_VITE_CHERRYAI_CLIENT_SECRET: ${{ secrets.MAIN_VITE_CHERRYAI_CLIENT_SECRET }}
|
||||
MAIN_VITE_MINERU_API_KEY: ${{ secrets.MAIN_VITE_MINERU_API_KEY }}
|
||||
RENDERER_VITE_AIHUBMIX_SECRET: ${{ secrets.RENDERER_VITE_AIHUBMIX_SECRET }}
|
||||
RENDERER_VITE_PPIO_APP_SECRET: ${{ secrets.RENDERER_VITE_PPIO_APP_SECRET }}
|
||||
MAIN_VITE_MINERU_API_KEY: ${{ vars.MAIN_VITE_MINERU_API_KEY }}
|
||||
RENDERER_VITE_AIHUBMIX_SECRET: ${{ vars.RENDERER_VITE_AIHUBMIX_SECRET }}
|
||||
RENDERER_VITE_PPIO_APP_SECRET: ${{ vars.RENDERER_VITE_PPIO_APP_SECRET }}
|
||||
|
||||
- name: Build Mac
|
||||
if: matrix.os == 'macos-latest'
|
||||
@@ -110,15 +110,15 @@ jobs:
|
||||
env:
|
||||
CSC_LINK: ${{ secrets.CSC_LINK }}
|
||||
CSC_KEY_PASSWORD: ${{ secrets.CSC_KEY_PASSWORD }}
|
||||
APPLE_ID: ${{ secrets.APPLE_ID }}
|
||||
APPLE_APP_SPECIFIC_PASSWORD: ${{ secrets.APPLE_APP_SPECIFIC_PASSWORD }}
|
||||
APPLE_TEAM_ID: ${{ secrets.APPLE_TEAM_ID }}
|
||||
APPLE_ID: ${{ vars.APPLE_ID }}
|
||||
APPLE_APP_SPECIFIC_PASSWORD: ${{ vars.APPLE_APP_SPECIFIC_PASSWORD }}
|
||||
APPLE_TEAM_ID: ${{ vars.APPLE_TEAM_ID }}
|
||||
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
NODE_OPTIONS: --max-old-space-size=8192
|
||||
MAIN_VITE_CHERRYAI_CLIENT_SECRET: ${{ secrets.MAIN_VITE_CHERRYAI_CLIENT_SECRET }}
|
||||
MAIN_VITE_MINERU_API_KEY: ${{ secrets.MAIN_VITE_MINERU_API_KEY }}
|
||||
RENDERER_VITE_AIHUBMIX_SECRET: ${{ secrets.RENDERER_VITE_AIHUBMIX_SECRET }}
|
||||
RENDERER_VITE_PPIO_APP_SECRET: ${{ secrets.RENDERER_VITE_PPIO_APP_SECRET }}
|
||||
MAIN_VITE_MINERU_API_KEY: ${{ vars.MAIN_VITE_MINERU_API_KEY }}
|
||||
RENDERER_VITE_AIHUBMIX_SECRET: ${{ vars.RENDERER_VITE_AIHUBMIX_SECRET }}
|
||||
RENDERER_VITE_PPIO_APP_SECRET: ${{ vars.RENDERER_VITE_PPIO_APP_SECRET }}
|
||||
|
||||
- name: Build Windows
|
||||
if: matrix.os == 'windows-latest'
|
||||
@@ -128,9 +128,9 @@ jobs:
|
||||
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
NODE_OPTIONS: --max-old-space-size=8192
|
||||
MAIN_VITE_CHERRYAI_CLIENT_SECRET: ${{ secrets.MAIN_VITE_CHERRYAI_CLIENT_SECRET }}
|
||||
MAIN_VITE_MINERU_API_KEY: ${{ secrets.MAIN_VITE_MINERU_API_KEY }}
|
||||
RENDERER_VITE_AIHUBMIX_SECRET: ${{ secrets.RENDERER_VITE_AIHUBMIX_SECRET }}
|
||||
RENDERER_VITE_PPIO_APP_SECRET: ${{ secrets.RENDERER_VITE_PPIO_APP_SECRET }}
|
||||
MAIN_VITE_MINERU_API_KEY: ${{ vars.MAIN_VITE_MINERU_API_KEY }}
|
||||
RENDERER_VITE_AIHUBMIX_SECRET: ${{ vars.RENDERER_VITE_AIHUBMIX_SECRET }}
|
||||
RENDERER_VITE_PPIO_APP_SECRET: ${{ vars.RENDERER_VITE_PPIO_APP_SECRET }}
|
||||
|
||||
- name: Rename artifacts with nightly format
|
||||
shell: bash
|
||||
|
||||
2
.github/workflows/pr-ci.yml
vendored
@@ -24,7 +24,7 @@ jobs:
|
||||
uses: actions/checkout@v5
|
||||
|
||||
- name: Install Node.js
|
||||
uses: actions/setup-node@v5
|
||||
uses: actions/setup-node@v4
|
||||
with:
|
||||
node-version: 20
|
||||
|
||||
|
||||
26
.github/workflows/release.yml
vendored
@@ -47,7 +47,7 @@ jobs:
|
||||
npm version "$VERSION" --no-git-tag-version --allow-same-version
|
||||
|
||||
- name: Install Node.js
|
||||
uses: actions/setup-node@v5
|
||||
uses: actions/setup-node@v4
|
||||
with:
|
||||
node-version: 20
|
||||
|
||||
@@ -86,9 +86,9 @@ jobs:
|
||||
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
NODE_OPTIONS: --max-old-space-size=8192
|
||||
MAIN_VITE_CHERRYAI_CLIENT_SECRET: ${{ secrets.MAIN_VITE_CHERRYAI_CLIENT_SECRET }}
|
||||
MAIN_VITE_MINERU_API_KEY: ${{ secrets.MAIN_VITE_MINERU_API_KEY }}
|
||||
RENDERER_VITE_AIHUBMIX_SECRET: ${{ secrets.RENDERER_VITE_AIHUBMIX_SECRET }}
|
||||
RENDERER_VITE_PPIO_APP_SECRET: ${{ secrets.RENDERER_VITE_PPIO_APP_SECRET }}
|
||||
MAIN_VITE_MINERU_API_KEY: ${{ vars.MAIN_VITE_MINERU_API_KEY }}
|
||||
RENDERER_VITE_AIHUBMIX_SECRET: ${{ vars.RENDERER_VITE_AIHUBMIX_SECRET }}
|
||||
RENDERER_VITE_PPIO_APP_SECRET: ${{ vars.RENDERER_VITE_PPIO_APP_SECRET }}
|
||||
|
||||
- name: Build Mac
|
||||
if: matrix.os == 'macos-latest'
|
||||
@@ -98,15 +98,15 @@ jobs:
|
||||
env:
|
||||
CSC_LINK: ${{ secrets.CSC_LINK }}
|
||||
CSC_KEY_PASSWORD: ${{ secrets.CSC_KEY_PASSWORD }}
|
||||
APPLE_ID: ${{ secrets.APPLE_ID }}
|
||||
APPLE_APP_SPECIFIC_PASSWORD: ${{ secrets.APPLE_APP_SPECIFIC_PASSWORD }}
|
||||
APPLE_TEAM_ID: ${{ secrets.APPLE_TEAM_ID }}
|
||||
APPLE_ID: ${{ vars.APPLE_ID }}
|
||||
APPLE_APP_SPECIFIC_PASSWORD: ${{ vars.APPLE_APP_SPECIFIC_PASSWORD }}
|
||||
APPLE_TEAM_ID: ${{ vars.APPLE_TEAM_ID }}
|
||||
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
NODE_OPTIONS: --max-old-space-size=8192
|
||||
MAIN_VITE_CHERRYAI_CLIENT_SECRET: ${{ secrets.MAIN_VITE_CHERRYAI_CLIENT_SECRET }}
|
||||
MAIN_VITE_MINERU_API_KEY: ${{ secrets.MAIN_VITE_MINERU_API_KEY }}
|
||||
RENDERER_VITE_AIHUBMIX_SECRET: ${{ secrets.RENDERER_VITE_AIHUBMIX_SECRET }}
|
||||
RENDERER_VITE_PPIO_APP_SECRET: ${{ secrets.RENDERER_VITE_PPIO_APP_SECRET }}
|
||||
MAIN_VITE_MINERU_API_KEY: ${{ vars.MAIN_VITE_MINERU_API_KEY }}
|
||||
RENDERER_VITE_AIHUBMIX_SECRET: ${{ vars.RENDERER_VITE_AIHUBMIX_SECRET }}
|
||||
RENDERER_VITE_PPIO_APP_SECRET: ${{ vars.RENDERER_VITE_PPIO_APP_SECRET }}
|
||||
|
||||
- name: Build Windows
|
||||
if: matrix.os == 'windows-latest'
|
||||
@@ -116,9 +116,9 @@ jobs:
|
||||
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
NODE_OPTIONS: --max-old-space-size=8192
|
||||
MAIN_VITE_CHERRYAI_CLIENT_SECRET: ${{ secrets.MAIN_VITE_CHERRYAI_CLIENT_SECRET }}
|
||||
MAIN_VITE_MINERU_API_KEY: ${{ secrets.MAIN_VITE_MINERU_API_KEY }}
|
||||
RENDERER_VITE_AIHUBMIX_SECRET: ${{ secrets.RENDERER_VITE_AIHUBMIX_SECRET }}
|
||||
RENDERER_VITE_PPIO_APP_SECRET: ${{ secrets.RENDERER_VITE_PPIO_APP_SECRET }}
|
||||
MAIN_VITE_MINERU_API_KEY: ${{ vars.MAIN_VITE_MINERU_API_KEY }}
|
||||
RENDERER_VITE_AIHUBMIX_SECRET: ${{ vars.RENDERER_VITE_AIHUBMIX_SECRET }}
|
||||
RENDERER_VITE_PPIO_APP_SECRET: ${{ vars.RENDERER_VITE_PPIO_APP_SECRET }}
|
||||
|
||||
- name: Release
|
||||
uses: ncipollo/release-action@v1
|
||||
|
||||
36
.yarn/patches/@ai-sdk-google-npm-2.0.14-376d8b03cc.patch
vendored
Normal file
@@ -0,0 +1,36 @@
|
||||
diff --git a/dist/index.mjs b/dist/index.mjs
|
||||
index 110f37ec18c98b1d55ae2b73cc716194e6f9094d..91d0f336b318833c6cee9599fe91370c0ff75323 100644
|
||||
--- a/dist/index.mjs
|
||||
+++ b/dist/index.mjs
|
||||
@@ -447,7 +447,10 @@ function convertToGoogleGenerativeAIMessages(prompt, options) {
|
||||
}
|
||||
|
||||
// src/get-model-path.ts
|
||||
-function getModelPath(modelId) {
|
||||
+function getModelPath(modelId, baseURL) {
|
||||
+ if (baseURL?.includes('cherryin')) {
|
||||
+ return `models/${modelId}`;
|
||||
+ }
|
||||
return modelId.includes("/") ? modelId : `models/${modelId}`;
|
||||
}
|
||||
|
||||
@@ -856,7 +859,8 @@ var GoogleGenerativeAILanguageModel = class {
|
||||
rawValue: rawResponse
|
||||
} = await postJsonToApi2({
|
||||
url: `${this.config.baseURL}/${getModelPath(
|
||||
- this.modelId
|
||||
+ this.modelId,
|
||||
+ this.config.baseURL
|
||||
)}:generateContent`,
|
||||
headers: mergedHeaders,
|
||||
body: args,
|
||||
@@ -962,7 +966,8 @@ var GoogleGenerativeAILanguageModel = class {
|
||||
);
|
||||
const { responseHeaders, value: response } = await postJsonToApi2({
|
||||
url: `${this.config.baseURL}/${getModelPath(
|
||||
- this.modelId
|
||||
+ this.modelId,
|
||||
+ this.config.baseURL
|
||||
)}:streamGenerateContent?alt=sse`,
|
||||
headers,
|
||||
body: args,
|
||||
@@ -1,13 +0,0 @@
|
||||
diff --git a/dist/index.mjs b/dist/index.mjs
|
||||
index b957cb824faa79cf01ba3a504f221870bd8e306a..4d71d30f655775d61537d9d8b73f6e17d41fa67e 100644
|
||||
--- a/dist/index.mjs
|
||||
+++ b/dist/index.mjs
|
||||
@@ -452,7 +452,7 @@ function convertToGoogleGenerativeAIMessages(prompt, options) {
|
||||
|
||||
// src/get-model-path.ts
|
||||
function getModelPath(modelId) {
|
||||
- return modelId.includes("/") ? modelId : `models/${modelId}`;
|
||||
+ return modelId?.includes("models/") ? modelId : `models/${modelId}`;
|
||||
}
|
||||
|
||||
// src/google-generative-ai-options.ts
|
||||
@@ -125,17 +125,59 @@ afterSign: scripts/notarize.js
|
||||
artifactBuildCompleted: scripts/artifact-build-completed.js
|
||||
releaseInfo:
|
||||
releaseNotes: |
|
||||
What's New in v1.6.4
|
||||
<!--LANG:en-->
|
||||
🚀 New Features:
|
||||
- Refactored AI core engine for more efficient and stable content generation
|
||||
- Added support for multiple AI model providers: CherryIN, AiOnly
|
||||
- Added API server functionality for external application integration
|
||||
- Added PaddleOCR document recognition for enhanced document processing
|
||||
- Added Anthropic OAuth authentication support
|
||||
- Added data storage space limit notifications
|
||||
- Added font settings for global and code fonts customization
|
||||
- Added auto-copy feature after translation completion
|
||||
- Added keyboard shortcuts: rename topic, edit last message, etc.
|
||||
- Added text attachment preview for viewing file contents in messages
|
||||
- Added custom window control buttons (minimize, maximize, close)
|
||||
- Support for Qwen long-text (qwen-long) and document analysis (qwen-doc) models with native file uploads
|
||||
- Support for Qwen image recognition models (Qwen-Image)
|
||||
- Added iFlow CLI support
|
||||
- Converted knowledge base and web search to tool-calling approach for better flexibility
|
||||
|
||||
Features:
|
||||
- Providers: add CherryIN provider
|
||||
- Notes: Add right-click context menu to create notes and folders
|
||||
- Mini App: Add search functionality in mini app page
|
||||
- Update Dialog: Add updating dialog in renderer process
|
||||
- Mini App: Remove some mini apps
|
||||
🎨 UI Improvements & Bug Fixes:
|
||||
- Integrated HeroUI and Tailwind CSS framework
|
||||
- Optimized message notification styles with unified toast component
|
||||
- Moved free models to bottom with fixed position for easier access
|
||||
- Refactored quick panel and input bar tools for smoother operation
|
||||
- Optimized responsive design for navbar and sidebar
|
||||
- Improved scrollbar component with horizontal scrolling support
|
||||
- Fixed multiple translation issues: paste handling, file processing, state management
|
||||
- Various UI optimizations and bug fixes
|
||||
<!--LANG:zh-CN-->
|
||||
🚀 新功能:
|
||||
- 重构 AI 核心引擎,提供更高效稳定的内容生成
|
||||
- 新增多个 AI 模型提供商支持:CherryIN、AiOnly
|
||||
- 新增 API 服务器功能,支持外部应用集成
|
||||
- 新增 PaddleOCR 文档识别,增强文档处理能力
|
||||
- 新增 Anthropic OAuth 认证支持
|
||||
- 新增数据存储空间限制提醒
|
||||
- 新增字体设置,支持全局字体和代码字体自定义
|
||||
- 新增翻译完成后自动复制功能
|
||||
- 新增键盘快捷键:重命名主题、编辑最后一条消息等
|
||||
- 新增文本附件预览,可查看消息中的文件内容
|
||||
- 新增自定义窗口控制按钮(最小化、最大化、关闭)
|
||||
- 支持通义千问长文本(qwen-long)和文档分析(qwen-doc)模型,原生文件上传
|
||||
- 支持通义千问图像识别模型(Qwen-Image)
|
||||
- 新增 iFlow CLI 支持
|
||||
- 知识库和网页搜索转换为工具调用方式,提升灵活性
|
||||
|
||||
Bug Fixes:
|
||||
- Fix reasoning block insertion order - now inserts before content block
|
||||
- Fix knowledge base deletion and web search RAG errors
|
||||
- Fix Qwen model URL configuration
|
||||
🎨 界面改进与问题修复:
|
||||
- 集成 HeroUI 和 Tailwind CSS 框架
|
||||
- 优化消息通知样式,统一 toast 组件
|
||||
- 免费模型移至底部固定位置,便于访问
|
||||
- 重构快捷面板和输入栏工具,操作更流畅
|
||||
- 优化导航栏和侧边栏响应式设计
|
||||
- 改进滚动条组件,支持水平滚动
|
||||
- 修复多个翻译问题:粘贴处理、文件处理、状态管理
|
||||
- 各种界面优化和问题修复
|
||||
<!--LANG:END-->
|
||||
|
||||
|
||||
@@ -34,10 +34,6 @@ export default defineConfig({
|
||||
output: {
|
||||
manualChunks: undefined, // 彻底禁用代码分割 - 返回 null 强制单文件打包
|
||||
inlineDynamicImports: true // 内联所有动态导入,这是关键配置
|
||||
},
|
||||
onwarn(warning, warn) {
|
||||
if (warning.code === 'COMMONJS_VARIABLE_IN_ESM') return
|
||||
warn(warning)
|
||||
}
|
||||
},
|
||||
sourcemap: isDev
|
||||
@@ -115,10 +111,6 @@ export default defineConfig({
|
||||
selectionToolbar: resolve(__dirname, 'src/renderer/selectionToolbar.html'),
|
||||
selectionAction: resolve(__dirname, 'src/renderer/selectionAction.html'),
|
||||
traceWindow: resolve(__dirname, 'src/renderer/traceWindow.html')
|
||||
},
|
||||
onwarn(warning, warn) {
|
||||
if (warning.code === 'COMMONJS_VARIABLE_IN_ESM') return
|
||||
warn(warning)
|
||||
}
|
||||
}
|
||||
},
|
||||
|
||||
16
package.json
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "CherryStudio",
|
||||
"version": "1.6.4",
|
||||
"version": "1.6.1",
|
||||
"private": true,
|
||||
"description": "A powerful AI assistant for producer.",
|
||||
"main": "./out/main/index.js",
|
||||
@@ -97,10 +97,10 @@
|
||||
"@agentic/exa": "^7.3.3",
|
||||
"@agentic/searxng": "^7.3.3",
|
||||
"@agentic/tavily": "^7.3.3",
|
||||
"@ai-sdk/amazon-bedrock": "^3.0.29",
|
||||
"@ai-sdk/google-vertex": "^3.0.33",
|
||||
"@ai-sdk/mistral": "^2.0.17",
|
||||
"@ai-sdk/perplexity": "^2.0.11",
|
||||
"@ai-sdk/amazon-bedrock": "^3.0.21",
|
||||
"@ai-sdk/google-vertex": "^3.0.27",
|
||||
"@ai-sdk/mistral": "^2.0.14",
|
||||
"@ai-sdk/perplexity": "^2.0.9",
|
||||
"@ant-design/v5-patch-for-react-19": "^1.0.3",
|
||||
"@anthropic-ai/sdk": "^0.41.0",
|
||||
"@anthropic-ai/vertex-sdk": "patch:@anthropic-ai/vertex-sdk@npm%3A0.11.4#~/.yarn/patches/@anthropic-ai-vertex-sdk-npm-0.11.4-c19cb41edb.patch",
|
||||
@@ -215,7 +215,7 @@
|
||||
"@viz-js/lang-dot": "^1.0.5",
|
||||
"@viz-js/viz": "^3.14.0",
|
||||
"@xyflow/react": "^12.4.4",
|
||||
"ai": "^5.0.59",
|
||||
"ai": "^5.0.44",
|
||||
"antd": "patch:antd@npm%3A5.27.0#~/.yarn/patches/antd-npm-5.27.0-aa91c36546.patch",
|
||||
"archiver": "^7.0.1",
|
||||
"async-mutex": "^0.5.0",
|
||||
@@ -238,7 +238,7 @@
|
||||
"docx": "^9.0.2",
|
||||
"dompurify": "^3.2.6",
|
||||
"dotenv-cli": "^7.4.2",
|
||||
"electron": "37.6.0",
|
||||
"electron": "37.4.0",
|
||||
"electron-builder": "26.0.15",
|
||||
"electron-devtools-installer": "^3.2.0",
|
||||
"electron-store": "^8.2.0",
|
||||
@@ -369,7 +369,7 @@
|
||||
"undici": "6.21.2",
|
||||
"vite": "npm:rolldown-vite@latest",
|
||||
"tesseract.js@npm:*": "patch:tesseract.js@npm%3A6.0.1#~/.yarn/patches/tesseract.js-npm-6.0.1-2562a7e46d.patch",
|
||||
"@ai-sdk/google@npm:2.0.17": "patch:@ai-sdk/google@npm%3A2.0.17#~/.yarn/patches/@ai-sdk-google-npm-2.0.17-fd88491de4.patch"
|
||||
"@ai-sdk/google@npm:2.0.14": "patch:@ai-sdk/google@npm%3A2.0.14#~/.yarn/patches/@ai-sdk-google-npm-2.0.14-376d8b03cc.patch"
|
||||
},
|
||||
"packageManager": "yarn@4.9.1",
|
||||
"lint-staged": {
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@cherrystudio/ai-core",
|
||||
"version": "1.0.1",
|
||||
"version": "1.0.0-alpha.18",
|
||||
"description": "Cherry Studio AI Core - Unified AI Provider Interface Based on Vercel AI SDK",
|
||||
"main": "dist/index.js",
|
||||
"module": "dist/index.mjs",
|
||||
@@ -36,14 +36,15 @@
|
||||
"ai": "^5.0.26"
|
||||
},
|
||||
"dependencies": {
|
||||
"@ai-sdk/anthropic": "^2.0.22",
|
||||
"@ai-sdk/azure": "^2.0.42",
|
||||
"@ai-sdk/deepseek": "^1.0.20",
|
||||
"@ai-sdk/openai": "^2.0.42",
|
||||
"@ai-sdk/openai-compatible": "^1.0.19",
|
||||
"@ai-sdk/anthropic": "^2.0.17",
|
||||
"@ai-sdk/azure": "^2.0.30",
|
||||
"@ai-sdk/deepseek": "^1.0.17",
|
||||
"@ai-sdk/google": "patch:@ai-sdk/google@npm%3A2.0.14#~/.yarn/patches/@ai-sdk-google-npm-2.0.14-376d8b03cc.patch",
|
||||
"@ai-sdk/openai": "^2.0.30",
|
||||
"@ai-sdk/openai-compatible": "^1.0.17",
|
||||
"@ai-sdk/provider": "^2.0.0",
|
||||
"@ai-sdk/provider-utils": "^3.0.10",
|
||||
"@ai-sdk/xai": "^2.0.23",
|
||||
"@ai-sdk/provider-utils": "^3.0.9",
|
||||
"@ai-sdk/xai": "^2.0.18",
|
||||
"zod": "^4.1.5"
|
||||
},
|
||||
"devDependencies": {
|
||||
|
||||
@@ -261,39 +261,22 @@ export const createPromptToolUsePlugin = (config: PromptToolUseConfig = {}) => {
|
||||
return params
|
||||
}
|
||||
|
||||
// 分离 provider-defined 和其他类型的工具
|
||||
const providerDefinedTools: ToolSet = {}
|
||||
const promptTools: ToolSet = {}
|
||||
context.mcpTools = params.tools
|
||||
|
||||
for (const [toolName, tool] of Object.entries(params.tools as ToolSet)) {
|
||||
if (tool.type === 'provider-defined') {
|
||||
// provider-defined 类型的工具保留在 tools 参数中
|
||||
providerDefinedTools[toolName] = tool
|
||||
} else {
|
||||
// 其他工具转换为 prompt 模式
|
||||
promptTools[toolName] = tool
|
||||
}
|
||||
}
|
||||
|
||||
// 只有当有非 provider-defined 工具时才保存到 context
|
||||
if (Object.keys(promptTools).length > 0) {
|
||||
context.mcpTools = promptTools
|
||||
}
|
||||
|
||||
// 构建系统提示符(只包含非 provider-defined 工具)
|
||||
// 构建系统提示符
|
||||
const userSystemPrompt = typeof params.system === 'string' ? params.system : ''
|
||||
const systemPrompt = buildSystemPrompt(userSystemPrompt, promptTools)
|
||||
const systemPrompt = buildSystemPrompt(userSystemPrompt, params.tools)
|
||||
let systemMessage: string | null = systemPrompt
|
||||
if (config.createSystemMessage) {
|
||||
// 🎯 如果用户提供了自定义处理函数,使用它
|
||||
systemMessage = config.createSystemMessage(systemPrompt, params, context)
|
||||
}
|
||||
|
||||
// 保留 provider-defined tools,移除其他 tools
|
||||
// 移除 tools,改为 prompt 模式
|
||||
const transformedParams = {
|
||||
...params,
|
||||
...(systemMessage ? { system: systemMessage } : {}),
|
||||
tools: Object.keys(providerDefinedTools).length > 0 ? providerDefinedTools : undefined
|
||||
tools: undefined
|
||||
}
|
||||
context.originalParams = transformedParams
|
||||
return transformedParams
|
||||
@@ -302,9 +285,8 @@ export const createPromptToolUsePlugin = (config: PromptToolUseConfig = {}) => {
|
||||
let textBuffer = ''
|
||||
// let stepId = ''
|
||||
|
||||
// 如果没有需要 prompt 模式处理的工具,直接返回原始流
|
||||
if (!context.mcpTools) {
|
||||
return new TransformStream()
|
||||
throw new Error('No tools available')
|
||||
}
|
||||
|
||||
// 从 context 中获取或初始化 usage 累加器
|
||||
|
||||
@@ -1,7 +1,6 @@
|
||||
import { anthropic } from '@ai-sdk/anthropic'
|
||||
import { google } from '@ai-sdk/google'
|
||||
import { openai } from '@ai-sdk/openai'
|
||||
import { InferToolInput, InferToolOutput } from 'ai'
|
||||
|
||||
import { ProviderOptionsMap } from '../../../options/types'
|
||||
import { OpenRouterSearchConfig } from './openrouter'
|
||||
@@ -59,31 +58,24 @@ export const DEFAULT_WEB_SEARCH_CONFIG: WebSearchPluginConfig = {
|
||||
|
||||
export type WebSearchToolOutputSchema = {
|
||||
// Anthropic 工具 - 手动定义
|
||||
anthropic: InferToolOutput<ReturnType<typeof anthropic.tools.webSearch_20250305>>
|
||||
anthropicWebSearch: Array<{
|
||||
url: string
|
||||
title: string
|
||||
pageAge: string | null
|
||||
encryptedContent: string
|
||||
type: string
|
||||
}>
|
||||
|
||||
// OpenAI 工具 - 基于实际输出
|
||||
// TODO: 上游定义不规范,是unknown
|
||||
// openai: InferToolOutput<ReturnType<typeof openai.tools.webSearch>>
|
||||
openai: {
|
||||
status: 'completed' | 'failed'
|
||||
}
|
||||
'openai-chat': {
|
||||
openaiWebSearch: {
|
||||
status: 'completed' | 'failed'
|
||||
}
|
||||
|
||||
// Google 工具
|
||||
// TODO: 上游定义不规范,是unknown
|
||||
// google: InferToolOutput<ReturnType<typeof google.tools.googleSearch>>
|
||||
google: {
|
||||
googleSearch: {
|
||||
webSearchQueries?: string[]
|
||||
groundingChunks?: Array<{
|
||||
web?: { uri: string; title: string }
|
||||
}>
|
||||
}
|
||||
}
|
||||
|
||||
export type WebSearchToolInputSchema = {
|
||||
anthropic: InferToolInput<ReturnType<typeof anthropic.tools.webSearch_20250305>>
|
||||
openai: InferToolInput<ReturnType<typeof openai.tools.webSearch>>
|
||||
google: InferToolInput<ReturnType<typeof google.tools.googleSearch>>
|
||||
'openai-chat': InferToolInput<ReturnType<typeof openai.tools.webSearchPreview>>
|
||||
}
|
||||
|
||||
@@ -5,8 +5,8 @@ export enum IpcChannel {
|
||||
App_SetLanguage = 'app:set-language',
|
||||
App_SetEnableSpellCheck = 'app:set-enable-spell-check',
|
||||
App_SetSpellCheckLanguages = 'app:set-spell-check-languages',
|
||||
App_ShowUpdateDialog = 'app:show-update-dialog',
|
||||
App_CheckForUpdate = 'app:check-for-update',
|
||||
App_QuitAndInstall = 'app:quit-and-install',
|
||||
App_Reload = 'app:reload',
|
||||
App_Quit = 'app:quit',
|
||||
App_Info = 'app:info',
|
||||
@@ -34,7 +34,6 @@ export enum IpcChannel {
|
||||
App_GetBinaryPath = 'app:get-binary-path',
|
||||
App_InstallUvBinary = 'app:install-uv-binary',
|
||||
App_InstallBunBinary = 'app:install-bun-binary',
|
||||
App_InstallOvmsBinary = 'app:install-ovms-binary',
|
||||
App_LogToMain = 'app:log-to-main',
|
||||
App_SaveData = 'app:save-data',
|
||||
App_GetDiskInfo = 'app:get-disk-info',
|
||||
@@ -221,7 +220,6 @@ export enum IpcChannel {
|
||||
// system
|
||||
System_GetDeviceType = 'system:getDeviceType',
|
||||
System_GetHostname = 'system:getHostname',
|
||||
System_GetCpuName = 'system:getCpuName',
|
||||
|
||||
// DevTools
|
||||
System_ToggleDevTools = 'system:toggleDevTools',
|
||||
@@ -229,6 +227,7 @@ export enum IpcChannel {
|
||||
// events
|
||||
BackupProgress = 'backup-progress',
|
||||
ThemeUpdated = 'theme:updated',
|
||||
UpdateDownloadedCancelled = 'update-downloaded-cancelled',
|
||||
RestoreProgress = 'restore-progress',
|
||||
UpdateError = 'update-error',
|
||||
UpdateAvailable = 'update-available',
|
||||
@@ -331,15 +330,6 @@ export enum IpcChannel {
|
||||
// OCR
|
||||
OCR_ocr = 'ocr:ocr',
|
||||
|
||||
// OVMS
|
||||
Ovms_AddModel = 'ovms:add-model',
|
||||
Ovms_StopAddModel = 'ovms:stop-addmodel',
|
||||
Ovms_GetModels = 'ovms:get-models',
|
||||
Ovms_IsRunning = 'ovms:is-running',
|
||||
Ovms_GetStatus = 'ovms:get-status',
|
||||
Ovms_RunOVMS = 'ovms:run-ovms',
|
||||
Ovms_StopOVMS = 'ovms:stop-ovms',
|
||||
|
||||
// CherryAI
|
||||
Cherryai_GetSignature = 'cherryai:get-signature'
|
||||
}
|
||||
|
||||
@@ -217,8 +217,7 @@ export enum codeTools {
|
||||
claudeCode = 'claude-code',
|
||||
geminiCli = 'gemini-cli',
|
||||
openaiCodex = 'openai-codex',
|
||||
iFlowCli = 'iflow-cli',
|
||||
githubCopilotCli = 'github-copilot-cli'
|
||||
iFlowCli = 'iflow-cli'
|
||||
}
|
||||
|
||||
export enum terminalApps {
|
||||
|
||||
@@ -1,7 +1,5 @@
|
||||
const https = require('https')
|
||||
const fs = require('fs')
|
||||
const path = require('path')
|
||||
const { execSync } = require('child_process')
|
||||
|
||||
/**
|
||||
* Downloads a file from a URL with redirect handling
|
||||
@@ -34,39 +32,4 @@ async function downloadWithRedirects(url, destinationPath) {
|
||||
})
|
||||
}
|
||||
|
||||
/**
|
||||
* Downloads a file using PowerShell Invoke-WebRequest command
|
||||
* @param {string} url The URL to download from
|
||||
* @param {string} destinationPath The path to save the file to
|
||||
* @returns {Promise<boolean>} Promise that resolves to true if download succeeds
|
||||
*/
|
||||
async function downloadWithPowerShell(url, destinationPath) {
|
||||
return new Promise((resolve, reject) => {
|
||||
try {
|
||||
// Only support windows platform for PowerShell download
|
||||
if (process.platform !== 'win32') {
|
||||
return reject(new Error('PowerShell download is only supported on Windows'))
|
||||
}
|
||||
|
||||
const outputDir = path.dirname(destinationPath)
|
||||
fs.mkdirSync(outputDir, { recursive: true })
|
||||
|
||||
// PowerShell command to download the file with progress disabled for faster download
|
||||
const psCommand = `powershell -Command "$ProgressPreference = 'SilentlyContinue'; Invoke-WebRequest '${url}' -OutFile '${destinationPath}'"`
|
||||
|
||||
console.log(`Downloading with PowerShell: ${url}`)
|
||||
execSync(psCommand, { stdio: 'inherit' })
|
||||
|
||||
if (fs.existsSync(destinationPath)) {
|
||||
console.log(`Download completed: ${destinationPath}`)
|
||||
resolve(true)
|
||||
} else {
|
||||
reject(new Error('Download failed: File not found after download'))
|
||||
}
|
||||
} catch (error) {
|
||||
reject(new Error(`PowerShell download failed: ${error.message}`))
|
||||
}
|
||||
})
|
||||
}
|
||||
|
||||
module.exports = { downloadWithRedirects, downloadWithPowerShell }
|
||||
module.exports = { downloadWithRedirects }
|
||||
|
||||
@@ -1,177 +0,0 @@
|
||||
const fs = require('fs')
|
||||
const path = require('path')
|
||||
const os = require('os')
|
||||
const { execSync } = require('child_process')
|
||||
const { downloadWithPowerShell } = require('./download')
|
||||
|
||||
// Base URL for downloading OVMS binaries
|
||||
const OVMS_PKG_NAME = 'ovms250911.zip'
|
||||
const OVMS_RELEASE_BASE_URL = [`https://gitcode.com/gcw_ggDjjkY3/kjfile/releases/download/download/${OVMS_PKG_NAME}`]
|
||||
|
||||
/**
|
||||
* Downloads and extracts the OVMS binary for the specified platform
|
||||
*/
|
||||
async function downloadOvmsBinary() {
|
||||
// Create output directory structure - OVMS goes into its own subdirectory
|
||||
const csDir = path.join(os.homedir(), '.cherrystudio')
|
||||
|
||||
// Ensure directories exist
|
||||
fs.mkdirSync(csDir, { recursive: true })
|
||||
|
||||
const csOvmsDir = path.join(csDir, 'ovms')
|
||||
// Delete existing OVMS directory if it exists
|
||||
if (fs.existsSync(csOvmsDir)) {
|
||||
fs.rmSync(csOvmsDir, { recursive: true })
|
||||
}
|
||||
|
||||
const tempdir = os.tmpdir()
|
||||
const tempFilename = path.join(tempdir, 'ovms.zip')
|
||||
|
||||
// Try each URL until one succeeds
|
||||
let downloadSuccess = false
|
||||
let lastError = null
|
||||
|
||||
for (let i = 0; i < OVMS_RELEASE_BASE_URL.length; i++) {
|
||||
const downloadUrl = OVMS_RELEASE_BASE_URL[i]
|
||||
console.log(`Attempting download from URL ${i + 1}/${OVMS_RELEASE_BASE_URL.length}: ${downloadUrl}`)
|
||||
|
||||
try {
|
||||
console.log(`Downloading OVMS from ${downloadUrl} to ${tempFilename}...`)
|
||||
|
||||
// Try PowerShell download first, fallback to Node.js download if it fails
|
||||
await downloadWithPowerShell(downloadUrl, tempFilename)
|
||||
|
||||
// If we get here, download was successful
|
||||
downloadSuccess = true
|
||||
console.log(`Successfully downloaded from: ${downloadUrl}`)
|
||||
break
|
||||
} catch (error) {
|
||||
console.warn(`Download failed from ${downloadUrl}: ${error.message}`)
|
||||
lastError = error
|
||||
|
||||
// Clean up failed download file if it exists
|
||||
if (fs.existsSync(tempFilename)) {
|
||||
try {
|
||||
fs.unlinkSync(tempFilename)
|
||||
} catch (cleanupError) {
|
||||
console.warn(`Failed to clean up temporary file: ${cleanupError.message}`)
|
||||
}
|
||||
}
|
||||
|
||||
// Continue to next URL if this one failed
|
||||
if (i < OVMS_RELEASE_BASE_URL.length - 1) {
|
||||
console.log(`Trying next URL...`)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Check if any download succeeded
|
||||
if (!downloadSuccess) {
|
||||
console.error(`All download URLs failed. Last error: ${lastError?.message || 'Unknown error'}`)
|
||||
return 103
|
||||
}
|
||||
|
||||
try {
|
||||
console.log(`Extracting to ${csDir}...`)
|
||||
|
||||
// Use tar.exe to extract the ZIP file
|
||||
console.log(`Extracting OVMS to ${csDir}...`)
|
||||
execSync(`tar -xf ${tempFilename} -C ${csDir}`, { stdio: 'inherit' })
|
||||
console.log(`OVMS extracted to ${csDir}`)
|
||||
|
||||
// Clean up temporary file
|
||||
fs.unlinkSync(tempFilename)
|
||||
console.log(`Installation directory: ${csDir}`)
|
||||
} catch (error) {
|
||||
console.error(`Error installing OVMS: ${error.message}`)
|
||||
if (fs.existsSync(tempFilename)) {
|
||||
fs.unlinkSync(tempFilename)
|
||||
}
|
||||
|
||||
// Check if ovmsDir is empty and remove it if so
|
||||
try {
|
||||
const ovmsDir = path.join(csDir, 'ovms')
|
||||
const files = fs.readdirSync(ovmsDir)
|
||||
if (files.length === 0) {
|
||||
fs.rmSync(ovmsDir, { recursive: true })
|
||||
console.log(`Removed empty directory: ${ovmsDir}`)
|
||||
}
|
||||
} catch (cleanupError) {
|
||||
console.warn(`Warning: Failed to clean up directory: ${cleanupError.message}`)
|
||||
return 105
|
||||
}
|
||||
|
||||
return 104
|
||||
}
|
||||
|
||||
return 0
|
||||
}
|
||||
|
||||
/**
|
||||
* Get the CPU Name and ID
|
||||
*/
|
||||
function getCpuInfo() {
|
||||
const cpuInfo = {
|
||||
name: '',
|
||||
id: ''
|
||||
}
|
||||
|
||||
// Use PowerShell to get CPU information
|
||||
try {
|
||||
const psCommand = `powershell -Command "Get-CimInstance -ClassName Win32_Processor | Select-Object Name, DeviceID | ConvertTo-Json"`
|
||||
const psOutput = execSync(psCommand).toString()
|
||||
const cpuData = JSON.parse(psOutput)
|
||||
|
||||
if (Array.isArray(cpuData)) {
|
||||
cpuInfo.name = cpuData[0].Name || ''
|
||||
cpuInfo.id = cpuData[0].DeviceID || ''
|
||||
} else {
|
||||
cpuInfo.name = cpuData.Name || ''
|
||||
cpuInfo.id = cpuData.DeviceID || ''
|
||||
}
|
||||
} catch (error) {
|
||||
console.error(`Failed to get CPU info: ${error.message}`)
|
||||
}
|
||||
|
||||
return cpuInfo
|
||||
}
|
||||
|
||||
/**
|
||||
* Main function to install OVMS
|
||||
*/
|
||||
async function installOvms() {
|
||||
const platform = os.platform()
|
||||
console.log(`Detected platform: ${platform}`)
|
||||
|
||||
const cpuName = getCpuInfo().name
|
||||
console.log(`CPU Name: ${cpuName}`)
|
||||
|
||||
// Check if CPU name contains "Ultra"
|
||||
if (!cpuName.toLowerCase().includes('intel') || !cpuName.toLowerCase().includes('ultra')) {
|
||||
console.error('OVMS installation requires an Intel(R) Core(TM) Ultra CPU.')
|
||||
return 101
|
||||
}
|
||||
|
||||
// only support windows
|
||||
if (platform !== 'win32') {
|
||||
console.error('OVMS installation is only supported on Windows.')
|
||||
return 102
|
||||
}
|
||||
|
||||
return await downloadOvmsBinary()
|
||||
}
|
||||
|
||||
// Run the installation
|
||||
installOvms()
|
||||
.then((retcode) => {
|
||||
if (retcode === 0) {
|
||||
console.log('OVMS installation successful')
|
||||
} else {
|
||||
console.error('OVMS installation failed')
|
||||
}
|
||||
process.exit(retcode)
|
||||
})
|
||||
.catch((error) => {
|
||||
console.error('OVMS installation failed:', error)
|
||||
process.exit(100)
|
||||
})
|
||||
@@ -35,7 +35,6 @@ import NotificationService from './services/NotificationService'
|
||||
import * as NutstoreService from './services/NutstoreService'
|
||||
import ObsidianVaultService from './services/ObsidianVaultService'
|
||||
import { ocrService } from './services/ocr/OcrService'
|
||||
import OvmsManager from './services/OvmsManager'
|
||||
import { proxyManager } from './services/ProxyManager'
|
||||
import { pythonService } from './services/PythonService'
|
||||
import { FileServiceManager } from './services/remotefile/FileServiceManager'
|
||||
@@ -82,7 +81,6 @@ const obsidianVaultService = new ObsidianVaultService()
|
||||
const vertexAIService = VertexAIService.getInstance()
|
||||
const memoryService = MemoryService.getInstance()
|
||||
const dxtService = new DxtService()
|
||||
const ovmsManager = new OvmsManager()
|
||||
|
||||
export function registerIpc(mainWindow: BrowserWindow, app: Electron.App) {
|
||||
const appUpdater = new AppUpdater()
|
||||
@@ -132,7 +130,7 @@ export function registerIpc(mainWindow: BrowserWindow, app: Electron.App) {
|
||||
ipcMain.handle(IpcChannel.Open_Website, (_, url: string) => shell.openExternal(url))
|
||||
|
||||
// Update
|
||||
ipcMain.handle(IpcChannel.App_QuitAndInstall, () => appUpdater.quitAndInstall())
|
||||
ipcMain.handle(IpcChannel.App_ShowUpdateDialog, () => appUpdater.showUpdateDialog(mainWindow))
|
||||
|
||||
// language
|
||||
ipcMain.handle(IpcChannel.App_SetLanguage, (_, language) => {
|
||||
@@ -434,7 +432,6 @@ export function registerIpc(mainWindow: BrowserWindow, app: Electron.App) {
|
||||
// system
|
||||
ipcMain.handle(IpcChannel.System_GetDeviceType, () => (isMac ? 'mac' : isWin ? 'windows' : 'linux'))
|
||||
ipcMain.handle(IpcChannel.System_GetHostname, () => require('os').hostname())
|
||||
ipcMain.handle(IpcChannel.System_GetCpuName, () => require('os').cpus()[0].model)
|
||||
ipcMain.handle(IpcChannel.System_ToggleDevTools, (e) => {
|
||||
const win = BrowserWindow.fromWebContents(e.sender)
|
||||
win && win.webContents.toggleDevTools()
|
||||
@@ -713,7 +710,6 @@ export function registerIpc(mainWindow: BrowserWindow, app: Electron.App) {
|
||||
ipcMain.handle(IpcChannel.App_GetBinaryPath, (_, name: string) => getBinaryPath(name))
|
||||
ipcMain.handle(IpcChannel.App_InstallUvBinary, () => runInstallScript('install-uv.js'))
|
||||
ipcMain.handle(IpcChannel.App_InstallBunBinary, () => runInstallScript('install-bun.js'))
|
||||
ipcMain.handle(IpcChannel.App_InstallOvmsBinary, () => runInstallScript('install-ovms.js'))
|
||||
|
||||
//copilot
|
||||
ipcMain.handle(IpcChannel.Copilot_GetAuthMessage, CopilotService.getAuthMessage.bind(CopilotService))
|
||||
@@ -845,17 +841,6 @@ export function registerIpc(mainWindow: BrowserWindow, app: Electron.App) {
|
||||
ocrService.ocr(file, provider)
|
||||
)
|
||||
|
||||
// OVMS
|
||||
ipcMain.handle(IpcChannel.Ovms_AddModel, (_, modelName: string, modelId: string, modelSource: string, task: string) =>
|
||||
ovmsManager.addModel(modelName, modelId, modelSource, task)
|
||||
)
|
||||
ipcMain.handle(IpcChannel.Ovms_StopAddModel, () => ovmsManager.stopAddModel())
|
||||
ipcMain.handle(IpcChannel.Ovms_GetModels, () => ovmsManager.getModels())
|
||||
ipcMain.handle(IpcChannel.Ovms_IsRunning, () => ovmsManager.initializeOvms())
|
||||
ipcMain.handle(IpcChannel.Ovms_GetStatus, () => ovmsManager.getOvmsStatus())
|
||||
ipcMain.handle(IpcChannel.Ovms_RunOVMS, () => ovmsManager.runOvms())
|
||||
ipcMain.handle(IpcChannel.Ovms_StopOVMS, () => ovmsManager.stopOvms())
|
||||
|
||||
// CherryAI
|
||||
ipcMain.handle(IpcChannel.Cherryai_GetSignature, (_, params) => generateSignature(params))
|
||||
}
|
||||
|
||||
@@ -1,15 +1,17 @@
|
||||
import { loggerService } from '@logger'
|
||||
import { isWin } from '@main/constant'
|
||||
import { getIpCountry } from '@main/utils/ipService'
|
||||
import { locales } from '@main/utils/locales'
|
||||
import { generateUserAgent } from '@main/utils/systemInfo'
|
||||
import { FeedUrl, UpgradeChannel } from '@shared/config/constant'
|
||||
import { IpcChannel } from '@shared/IpcChannel'
|
||||
import { CancellationToken, UpdateInfo } from 'builder-util-runtime'
|
||||
import { app, net } from 'electron'
|
||||
import { app, BrowserWindow, dialog, net } from 'electron'
|
||||
import { AppUpdater as _AppUpdater, autoUpdater, Logger, NsisUpdater, UpdateCheckResult } from 'electron-updater'
|
||||
import path from 'path'
|
||||
import semver from 'semver'
|
||||
|
||||
import icon from '../../../build/icon.png?asset'
|
||||
import { configManager } from './ConfigManager'
|
||||
import { windowService } from './WindowService'
|
||||
|
||||
@@ -24,6 +26,7 @@ const LANG_MARKERS = {
|
||||
|
||||
export default class AppUpdater {
|
||||
autoUpdater: _AppUpdater = autoUpdater
|
||||
private releaseInfo: UpdateInfo | undefined
|
||||
private cancellationToken: CancellationToken = new CancellationToken()
|
||||
private updateCheckResult: UpdateCheckResult | null = null
|
||||
|
||||
@@ -63,6 +66,7 @@ export default class AppUpdater {
|
||||
autoUpdater.on('update-downloaded', (releaseInfo: UpdateInfo) => {
|
||||
const processedReleaseInfo = this.processReleaseInfo(releaseInfo)
|
||||
windowService.getMainWindow()?.webContents.send(IpcChannel.UpdateDownloaded, processedReleaseInfo)
|
||||
this.releaseInfo = processedReleaseInfo
|
||||
logger.info('update downloaded', processedReleaseInfo)
|
||||
})
|
||||
|
||||
@@ -243,9 +247,37 @@ export default class AppUpdater {
|
||||
}
|
||||
}
|
||||
|
||||
public quitAndInstall() {
|
||||
app.isQuitting = true
|
||||
setImmediate(() => autoUpdater.quitAndInstall())
|
||||
public async showUpdateDialog(mainWindow: BrowserWindow) {
|
||||
if (!this.releaseInfo) {
|
||||
return
|
||||
}
|
||||
const locale = locales[configManager.getLanguage()]
|
||||
const { update: updateLocale } = locale.translation
|
||||
|
||||
let detail = this.formatReleaseNotes(this.releaseInfo.releaseNotes)
|
||||
if (detail === '') {
|
||||
detail = updateLocale.noReleaseNotes
|
||||
}
|
||||
|
||||
dialog
|
||||
.showMessageBox({
|
||||
type: 'info',
|
||||
title: updateLocale.title,
|
||||
icon,
|
||||
message: updateLocale.message.replace('{{version}}', this.releaseInfo.version),
|
||||
detail,
|
||||
buttons: [updateLocale.later, updateLocale.install],
|
||||
defaultId: 1,
|
||||
cancelId: 0
|
||||
})
|
||||
.then(({ response }) => {
|
||||
if (response === 1) {
|
||||
app.isQuitting = true
|
||||
setImmediate(() => autoUpdater.quitAndInstall())
|
||||
} else {
|
||||
mainWindow.webContents.send(IpcChannel.UpdateDownloadedCancelled)
|
||||
}
|
||||
})
|
||||
}
|
||||
|
||||
/**
|
||||
@@ -317,9 +349,38 @@ export default class AppUpdater {
|
||||
|
||||
return processedInfo
|
||||
}
|
||||
|
||||
/**
|
||||
* Format release notes for display
|
||||
* @param releaseNotes - Release notes in various formats
|
||||
* @returns Formatted string for display
|
||||
*/
|
||||
private formatReleaseNotes(releaseNotes: string | ReleaseNoteInfo[] | null | undefined): string {
|
||||
if (!releaseNotes) {
|
||||
return ''
|
||||
}
|
||||
|
||||
if (typeof releaseNotes === 'string') {
|
||||
// Check if it contains multi-language markers
|
||||
if (this.hasMultiLanguageMarkers(releaseNotes)) {
|
||||
return this.parseMultiLangReleaseNotes(releaseNotes)
|
||||
}
|
||||
return releaseNotes
|
||||
}
|
||||
|
||||
if (Array.isArray(releaseNotes)) {
|
||||
return releaseNotes.map((note) => note.note).join('\n')
|
||||
}
|
||||
|
||||
return ''
|
||||
}
|
||||
}
|
||||
interface GithubReleaseInfo {
|
||||
draft: boolean
|
||||
prerelease: boolean
|
||||
tag_name: string
|
||||
}
|
||||
interface ReleaseNoteInfo {
|
||||
readonly version: string
|
||||
readonly note: string | null
|
||||
}
|
||||
|
||||
@@ -31,10 +31,7 @@ interface VersionInfo {
|
||||
|
||||
class CodeToolsService {
|
||||
private versionCache: Map<string, { version: string; timestamp: number }> = new Map()
|
||||
private terminalsCache: {
|
||||
terminals: TerminalConfig[]
|
||||
timestamp: number
|
||||
} | null = null
|
||||
private terminalsCache: { terminals: TerminalConfig[]; timestamp: number } | null = null
|
||||
private customTerminalPaths: Map<string, string> = new Map() // Store user-configured terminal paths
|
||||
private readonly CACHE_DURATION = 1000 * 60 * 30 // 30 minutes cache
|
||||
private readonly TERMINALS_CACHE_DURATION = 1000 * 60 * 5 // 5 minutes cache for terminals
|
||||
@@ -85,8 +82,6 @@ class CodeToolsService {
|
||||
return '@qwen-code/qwen-code'
|
||||
case codeTools.iFlowCli:
|
||||
return '@iflow-ai/iflow-cli'
|
||||
case codeTools.githubCopilotCli:
|
||||
return '@github/copilot'
|
||||
default:
|
||||
throw new Error(`Unsupported CLI tool: ${cliTool}`)
|
||||
}
|
||||
@@ -104,8 +99,6 @@ class CodeToolsService {
|
||||
return 'qwen'
|
||||
case codeTools.iFlowCli:
|
||||
return 'iflow'
|
||||
case codeTools.githubCopilotCli:
|
||||
return 'copilot'
|
||||
default:
|
||||
throw new Error(`Unsupported CLI tool: ${cliTool}`)
|
||||
}
|
||||
@@ -151,9 +144,7 @@ class CodeToolsService {
|
||||
case terminalApps.powershell:
|
||||
// Check for PowerShell in PATH
|
||||
try {
|
||||
await execAsync('powershell -Command "Get-Host"', {
|
||||
timeout: 3000
|
||||
})
|
||||
await execAsync('powershell -Command "Get-Host"', { timeout: 3000 })
|
||||
return terminal
|
||||
} catch {
|
||||
try {
|
||||
@@ -393,9 +384,7 @@ class CodeToolsService {
|
||||
const binDir = path.join(os.homedir(), '.cherrystudio', 'bin')
|
||||
const executablePath = path.join(binDir, executableName + (isWin ? '.exe' : ''))
|
||||
|
||||
const { stdout } = await execAsync(`"${executablePath}" --version`, {
|
||||
timeout: 10000
|
||||
})
|
||||
const { stdout } = await execAsync(`"${executablePath}" --version`, { timeout: 10000 })
|
||||
// Extract version number from output (format may vary by tool)
|
||||
const versionMatch = stdout.trim().match(/\d+\.\d+\.\d+/)
|
||||
installedVersion = versionMatch ? versionMatch[0] : stdout.trim().split(' ')[0]
|
||||
@@ -436,10 +425,7 @@ class CodeToolsService {
|
||||
logger.info(`${packageName} latest version: ${latestVersion}`)
|
||||
|
||||
// Cache the result
|
||||
this.versionCache.set(cacheKey, {
|
||||
version: latestVersion!,
|
||||
timestamp: now
|
||||
})
|
||||
this.versionCache.set(cacheKey, { version: latestVersion!, timestamp: now })
|
||||
logger.debug(`Cached latest version for ${packageName}`)
|
||||
} catch (error) {
|
||||
logger.warn(`Failed to get latest version for ${packageName}:`, error as Error)
|
||||
|
||||
@@ -29,7 +29,7 @@ import Reranker from '@main/knowledge/reranker/Reranker'
|
||||
import { fileStorage } from '@main/services/FileStorage'
|
||||
import { windowService } from '@main/services/WindowService'
|
||||
import { getDataPath } from '@main/utils'
|
||||
import { getAllFiles, sanitizeFilename } from '@main/utils/file'
|
||||
import { getAllFiles } from '@main/utils/file'
|
||||
import { TraceMethod } from '@mcp-trace/trace-core'
|
||||
import { MB } from '@shared/config/constant'
|
||||
import type { LoaderReturn } from '@shared/config/types'
|
||||
@@ -147,16 +147,11 @@ class KnowledgeService {
|
||||
}
|
||||
}
|
||||
|
||||
private getDbPath = (id: string): string => {
|
||||
// 消除网络搜索requestI d中的特殊字符
|
||||
return path.join(this.storageDir, sanitizeFilename(id, '_'))
|
||||
}
|
||||
|
||||
/**
|
||||
* Delete knowledge base file
|
||||
*/
|
||||
private deleteKnowledgeFile = (id: string): boolean => {
|
||||
const dbPath = this.getDbPath(id)
|
||||
const dbPath = path.join(this.storageDir, id)
|
||||
if (fs.existsSync(dbPath)) {
|
||||
try {
|
||||
fs.rmSync(dbPath, { recursive: true })
|
||||
@@ -249,8 +244,7 @@ class KnowledgeService {
|
||||
dimensions
|
||||
})
|
||||
try {
|
||||
const dbPath = this.getDbPath(id)
|
||||
const libSqlDb = new LibSqlDb({ path: dbPath })
|
||||
const libSqlDb = new LibSqlDb({ path: path.join(this.storageDir, id) })
|
||||
// Save database instance for later closing
|
||||
this.dbInstances.set(id, libSqlDb)
|
||||
|
||||
|
||||
@@ -1,586 +0,0 @@
|
||||
import { exec } from 'node:child_process'
|
||||
import { homedir } from 'node:os'
|
||||
import { promisify } from 'node:util'
|
||||
|
||||
import { loggerService } from '@logger'
|
||||
import * as fs from 'fs-extra'
|
||||
import * as path from 'path'
|
||||
|
||||
const logger = loggerService.withContext('OvmsManager')
|
||||
|
||||
const execAsync = promisify(exec)
|
||||
|
||||
interface OvmsProcess {
|
||||
pid: number
|
||||
path: string
|
||||
workingDirectory: string
|
||||
}
|
||||
|
||||
interface ModelConfig {
|
||||
name: string
|
||||
base_path: string
|
||||
}
|
||||
|
||||
interface OvmsConfig {
|
||||
mediapipe_config_list: ModelConfig[]
|
||||
}
|
||||
|
||||
class OvmsManager {
|
||||
private ovms: OvmsProcess | null = null
|
||||
|
||||
/**
|
||||
* Recursively terminate a process and all its child processes
|
||||
* @param pid Process ID to terminate
|
||||
* @returns Promise<{ success: boolean; message?: string }>
|
||||
*/
|
||||
private async terminalProcess(pid: number): Promise<{ success: boolean; message?: string }> {
|
||||
try {
|
||||
// Check if the process is running
|
||||
const processCheckCommand = `Get-Process -Id ${pid} -ErrorAction SilentlyContinue | Select-Object Id | ConvertTo-Json`
|
||||
const { stdout: processStdout } = await execAsync(`powershell -Command "${processCheckCommand}"`)
|
||||
|
||||
if (!processStdout.trim()) {
|
||||
logger.info(`Process with PID ${pid} is not running`)
|
||||
return { success: true, message: `Process with PID ${pid} is not running` }
|
||||
}
|
||||
|
||||
// Find child processes
|
||||
const childProcessCommand = `Get-WmiObject -Class Win32_Process | Where-Object { $_.ParentProcessId -eq ${pid} } | Select-Object ProcessId | ConvertTo-Json`
|
||||
const { stdout: childStdout } = await execAsync(`powershell -Command "${childProcessCommand}"`)
|
||||
|
||||
// If there are child processes, terminate them first
|
||||
if (childStdout.trim()) {
|
||||
const childProcesses = JSON.parse(childStdout)
|
||||
const childList = Array.isArray(childProcesses) ? childProcesses : [childProcesses]
|
||||
|
||||
logger.info(`Found ${childList.length} child processes for PID ${pid}`)
|
||||
|
||||
// Recursively terminate each child process
|
||||
for (const childProcess of childList) {
|
||||
const childPid = childProcess.ProcessId
|
||||
logger.info(`Terminating child process PID: ${childPid}`)
|
||||
await this.terminalProcess(childPid)
|
||||
}
|
||||
} else {
|
||||
logger.info(`No child processes found for PID ${pid}`)
|
||||
}
|
||||
|
||||
// Finally, terminate the parent process
|
||||
const killCommand = `Stop-Process -Id ${pid} -Force -ErrorAction SilentlyContinue`
|
||||
await execAsync(`powershell -Command "${killCommand}"`)
|
||||
logger.info(`Terminated process with PID: ${pid}`)
|
||||
|
||||
// Wait for the process to disappear with 5-second timeout
|
||||
const timeout = 5000 // 5 seconds
|
||||
const startTime = Date.now()
|
||||
|
||||
while (Date.now() - startTime < timeout) {
|
||||
const checkCommand = `Get-Process -Id ${pid} -ErrorAction SilentlyContinue | Select-Object Id | ConvertTo-Json`
|
||||
const { stdout: checkStdout } = await execAsync(`powershell -Command "${checkCommand}"`)
|
||||
|
||||
if (!checkStdout.trim()) {
|
||||
logger.info(`Process with PID ${pid} has disappeared`)
|
||||
return { success: true, message: `Process ${pid} and all child processes terminated successfully` }
|
||||
}
|
||||
|
||||
// Wait 300ms before checking again
|
||||
await new Promise((resolve) => setTimeout(resolve, 300))
|
||||
}
|
||||
|
||||
logger.warn(`Process with PID ${pid} did not disappear within timeout`)
|
||||
return { success: false, message: `Process ${pid} did not disappear within 5 seconds` }
|
||||
} catch (error) {
|
||||
logger.error(`Failed to terminate process ${pid}:`, error as Error)
|
||||
return { success: false, message: `Failed to terminate process ${pid}` }
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Stop OVMS process if it's running
|
||||
* @returns Promise<{ success: boolean; message?: string }>
|
||||
*/
|
||||
public async stopOvms(): Promise<{ success: boolean; message?: string }> {
|
||||
try {
|
||||
// Check if OVMS process is running
|
||||
const psCommand = `Get-Process -Name "ovms" -ErrorAction SilentlyContinue | Select-Object Id, Path | ConvertTo-Json`
|
||||
const { stdout } = await execAsync(`powershell -Command "${psCommand}"`)
|
||||
|
||||
if (!stdout.trim()) {
|
||||
logger.info('OVMS process is not running')
|
||||
return { success: true, message: 'OVMS process is not running' }
|
||||
}
|
||||
|
||||
const processes = JSON.parse(stdout)
|
||||
const processList = Array.isArray(processes) ? processes : [processes]
|
||||
|
||||
if (processList.length === 0) {
|
||||
logger.info('OVMS process is not running')
|
||||
return { success: true, message: 'OVMS process is not running' }
|
||||
}
|
||||
|
||||
// Terminate all OVMS processes using terminalProcess
|
||||
for (const process of processList) {
|
||||
const result = await this.terminalProcess(process.Id)
|
||||
if (!result.success) {
|
||||
logger.error(`Failed to terminate OVMS process with PID: ${process.Id}, ${result.message}`)
|
||||
return { success: false, message: `Failed to terminate OVMS process: ${result.message}` }
|
||||
}
|
||||
logger.info(`Terminated OVMS process with PID: ${process.Id}`)
|
||||
}
|
||||
|
||||
// Reset the ovms instance
|
||||
this.ovms = null
|
||||
|
||||
logger.info('OVMS process stopped successfully')
|
||||
return { success: true, message: 'OVMS process stopped successfully' }
|
||||
} catch (error) {
|
||||
logger.error(`Failed to stop OVMS process: ${error}`)
|
||||
return { success: false, message: 'Failed to stop OVMS process' }
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Run OVMS by ensuring config.json exists and executing run.bat
|
||||
* @returns Promise<{ success: boolean; message?: string }>
|
||||
*/
|
||||
public async runOvms(): Promise<{ success: boolean; message?: string }> {
|
||||
const homeDir = homedir()
|
||||
const ovmsDir = path.join(homeDir, '.cherrystudio', 'ovms', 'ovms')
|
||||
const configPath = path.join(ovmsDir, 'models', 'config.json')
|
||||
const runBatPath = path.join(ovmsDir, 'run.bat')
|
||||
|
||||
try {
|
||||
// Check if config.json exists, if not create it with default content
|
||||
if (!(await fs.pathExists(configPath))) {
|
||||
logger.info(`Config file does not exist, creating: ${configPath}`)
|
||||
|
||||
// Ensure the models directory exists
|
||||
await fs.ensureDir(path.dirname(configPath))
|
||||
|
||||
// Create config.json with default content
|
||||
const defaultConfig = {
|
||||
mediapipe_config_list: [],
|
||||
model_config_list: []
|
||||
}
|
||||
|
||||
await fs.writeJson(configPath, defaultConfig, { spaces: 2 })
|
||||
logger.info(`Config file created: ${configPath}`)
|
||||
}
|
||||
|
||||
// Check if run.bat exists
|
||||
if (!(await fs.pathExists(runBatPath))) {
|
||||
logger.error(`run.bat not found at: ${runBatPath}`)
|
||||
return { success: false, message: 'run.bat not found' }
|
||||
}
|
||||
|
||||
// Run run.bat without waiting for it to complete
|
||||
logger.info(`Starting OVMS with run.bat: ${runBatPath}`)
|
||||
exec(`"${runBatPath}"`, { cwd: ovmsDir }, (error) => {
|
||||
if (error) {
|
||||
logger.error(`Error running run.bat: ${error}`)
|
||||
}
|
||||
})
|
||||
|
||||
logger.info('OVMS started successfully')
|
||||
return { success: true }
|
||||
} catch (error) {
|
||||
logger.error(`Failed to run OVMS: ${error}`)
|
||||
return { success: false, message: 'Failed to run OVMS' }
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Get OVMS status - checks installation and running status
|
||||
* @returns 'not-installed' | 'not-running' | 'running'
|
||||
*/
|
||||
public async getOvmsStatus(): Promise<'not-installed' | 'not-running' | 'running'> {
|
||||
const homeDir = homedir()
|
||||
const ovmsPath = path.join(homeDir, '.cherrystudio', 'ovms', 'ovms', 'ovms.exe')
|
||||
|
||||
try {
|
||||
// Check if OVMS executable exists
|
||||
if (!(await fs.pathExists(ovmsPath))) {
|
||||
logger.info(`OVMS executable not found at: ${ovmsPath}`)
|
||||
return 'not-installed'
|
||||
}
|
||||
|
||||
// Check if OVMS process is running
|
||||
//const psCommand = `Get-Process -Name "ovms" -ErrorAction SilentlyContinue | Where-Object { $_.Path -eq "${ovmsPath.replace(/\\/g, '\\\\')}" } | Select-Object Id | ConvertTo-Json`;
|
||||
//const { stdout } = await execAsync(`powershell -Command "${psCommand}"`);
|
||||
const psCommand = `Get-Process -Name "ovms" -ErrorAction SilentlyContinue | Select-Object Id, Path | ConvertTo-Json`
|
||||
const { stdout } = await execAsync(`powershell -Command "${psCommand}"`)
|
||||
|
||||
if (!stdout.trim()) {
|
||||
logger.info('OVMS process not running')
|
||||
return 'not-running'
|
||||
}
|
||||
|
||||
const processes = JSON.parse(stdout)
|
||||
const processList = Array.isArray(processes) ? processes : [processes]
|
||||
|
||||
if (processList.length > 0) {
|
||||
logger.info('OVMS process is running')
|
||||
return 'running'
|
||||
} else {
|
||||
logger.info('OVMS process not running')
|
||||
return 'not-running'
|
||||
}
|
||||
} catch (error) {
|
||||
logger.info(`Failed to check OVMS status: ${error}`)
|
||||
return 'not-running'
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Initialize OVMS by finding the executable path and working directory
|
||||
*/
|
||||
public async initializeOvms(): Promise<boolean> {
|
||||
// Use PowerShell to find ovms.exe processes with their paths
|
||||
const psCommand = `Get-Process -Name "ovms" -ErrorAction SilentlyContinue | Select-Object Id, Path | ConvertTo-Json`
|
||||
const { stdout } = await execAsync(`powershell -Command "${psCommand}"`)
|
||||
|
||||
if (!stdout.trim()) {
|
||||
logger.error('Command to find OVMS process returned no output')
|
||||
return false
|
||||
}
|
||||
logger.debug(`OVMS process output: ${stdout}`)
|
||||
|
||||
const processes = JSON.parse(stdout)
|
||||
const processList = Array.isArray(processes) ? processes : [processes]
|
||||
|
||||
// Find the first process with a valid path
|
||||
for (const process of processList) {
|
||||
this.ovms = {
|
||||
pid: process.Id,
|
||||
path: process.Path,
|
||||
workingDirectory: path.dirname(process.Path)
|
||||
}
|
||||
return true
|
||||
}
|
||||
|
||||
return this.ovms !== null
|
||||
}
|
||||
|
||||
/**
|
||||
* Check if the Model Name and ID are valid, they are valid only if they are not used in the config.json
|
||||
* @param modelName Name of the model to check
|
||||
* @param modelId ID of the model to check
|
||||
*/
|
||||
public async isNameAndIDAvalid(modelName: string, modelId: string): Promise<boolean> {
|
||||
if (!modelName || !modelId) {
|
||||
logger.error('Model name and ID cannot be empty')
|
||||
return false
|
||||
}
|
||||
|
||||
const homeDir = homedir()
|
||||
const configPath = path.join(homeDir, '.cherrystudio', 'ovms', 'ovms', 'models', 'config.json')
|
||||
try {
|
||||
if (!(await fs.pathExists(configPath))) {
|
||||
logger.warn(`Config file does not exist: ${configPath}`)
|
||||
return false
|
||||
}
|
||||
|
||||
const config: OvmsConfig = await fs.readJson(configPath)
|
||||
if (!config.mediapipe_config_list) {
|
||||
logger.warn(`No mediapipe_config_list found in config: ${configPath}`)
|
||||
return false
|
||||
}
|
||||
|
||||
// Check if the model name or ID already exists in the config
|
||||
const exists = config.mediapipe_config_list.some(
|
||||
(model) => model.name === modelName || model.base_path === modelId
|
||||
)
|
||||
if (exists) {
|
||||
logger.warn(`Model with name "${modelName}" or ID "${modelId}" already exists in the config`)
|
||||
return false
|
||||
}
|
||||
} catch (error) {
|
||||
logger.error(`Failed to check model existence: ${error}`)
|
||||
return false
|
||||
}
|
||||
|
||||
return true
|
||||
}
|
||||
|
||||
private async applyModelPath(modelDirPath: string): Promise<boolean> {
|
||||
const homeDir = homedir()
|
||||
const patchDir = path.join(homeDir, '.cherrystudio', 'ovms', 'patch')
|
||||
if (!(await fs.pathExists(patchDir))) {
|
||||
return true
|
||||
}
|
||||
|
||||
const modelId = path.basename(modelDirPath)
|
||||
|
||||
// get all sub directories in patchDir
|
||||
const patchs = await fs.readdir(patchDir)
|
||||
for (const patch of patchs) {
|
||||
const fullPatchPath = path.join(patchDir, patch)
|
||||
|
||||
if (fs.lstatSync(fullPatchPath).isDirectory()) {
|
||||
if (modelId.toLowerCase().includes(patch.toLowerCase())) {
|
||||
// copy all files from fullPath to modelDirPath
|
||||
try {
|
||||
const files = await fs.readdir(fullPatchPath)
|
||||
for (const file of files) {
|
||||
const srcFile = path.join(fullPatchPath, file)
|
||||
const destFile = path.join(modelDirPath, file)
|
||||
await fs.copyFile(srcFile, destFile)
|
||||
}
|
||||
} catch (error) {
|
||||
logger.error(`Failed to copy files from ${fullPatchPath} to ${modelDirPath}: ${error}`)
|
||||
return false
|
||||
}
|
||||
logger.info(`Applied patchs for model ${modelId}`)
|
||||
return true
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return true
|
||||
}
|
||||
|
||||
/**
|
||||
* Add a model to OVMS by downloading it
|
||||
* @param modelName Name of the model to add
|
||||
* @param modelId ID of the model to download
|
||||
* @param modelSource Model Source: huggingface, hf-mirror and modelscope, default is huggingface
|
||||
* @param task Task type: text_generation, embedding, rerank, image_generation
|
||||
*/
|
||||
public async addModel(
|
||||
modelName: string,
|
||||
modelId: string,
|
||||
modelSource: string,
|
||||
task: string = 'text_generation'
|
||||
): Promise<{ success: boolean; message?: string }> {
|
||||
logger.info(`Adding model: ${modelName} with ID: ${modelId}, Source: ${modelSource}, Task: ${task}`)
|
||||
|
||||
const homeDir = homedir()
|
||||
const ovdndDir = path.join(homeDir, '.cherrystudio', 'ovms', 'ovms')
|
||||
const pathModel = path.join(ovdndDir, 'models', modelId)
|
||||
|
||||
try {
|
||||
// check the ovdnDir+'models'+modelId exist or not
|
||||
if (await fs.pathExists(pathModel)) {
|
||||
logger.error(`Model with ID ${modelId} already exists`)
|
||||
return { success: false, message: 'Model ID already exists!' }
|
||||
}
|
||||
|
||||
// remove the model directory if it exists
|
||||
if (await fs.pathExists(pathModel)) {
|
||||
logger.info(`Removing existing model directory: ${pathModel}`)
|
||||
await fs.remove(pathModel)
|
||||
}
|
||||
|
||||
// Use ovdnd.exe for downloading instead of ovms.exe
|
||||
const ovdndPath = path.join(ovdndDir, 'ovdnd.exe')
|
||||
const command =
|
||||
`"${ovdndPath}" --pull ` +
|
||||
`--model_repository_path "${ovdndDir}/models" ` +
|
||||
`--source_model "${modelId}" ` +
|
||||
`--model_name "${modelName}" ` +
|
||||
`--target_device GPU ` +
|
||||
`--task ${task} ` +
|
||||
`--overwrite_models`
|
||||
|
||||
const env: Record<string, string | undefined> = {
|
||||
...process.env,
|
||||
OVMS_DIR: ovdndDir,
|
||||
PYTHONHOME: path.join(ovdndDir, 'python'),
|
||||
PATH: `${process.env.PATH};${ovdndDir};${path.join(ovdndDir, 'python')}`
|
||||
}
|
||||
|
||||
if (modelSource) {
|
||||
env.HF_ENDPOINT = modelSource
|
||||
}
|
||||
|
||||
logger.info(`Running command: ${command} from ${modelSource}`)
|
||||
const { stdout } = await execAsync(command, { env: env, cwd: ovdndDir })
|
||||
|
||||
logger.info('Model download completed')
|
||||
logger.debug(`Command output: ${stdout}`)
|
||||
} catch (error) {
|
||||
// remove ovdnDir+'models'+modelId if it exists
|
||||
if (await fs.pathExists(pathModel)) {
|
||||
logger.info(`Removing failed model directory: ${pathModel}`)
|
||||
await fs.remove(pathModel)
|
||||
}
|
||||
logger.error(`Failed to add model: ${error}`)
|
||||
return {
|
||||
success: false,
|
||||
message: `Download model ${modelId} failed, please check following items and try it again:<p>- the model id</p><p>- network connection and proxy</p>`
|
||||
}
|
||||
}
|
||||
|
||||
// Update config file
|
||||
if (!(await this.updateModelConfig(modelName, modelId))) {
|
||||
logger.error('Failed to update model config')
|
||||
return { success: false, message: 'Failed to update model config' }
|
||||
}
|
||||
|
||||
if (!(await this.applyModelPath(pathModel))) {
|
||||
logger.error('Failed to apply model patchs')
|
||||
return { success: false, message: 'Failed to apply model patchs' }
|
||||
}
|
||||
|
||||
logger.info(`Model ${modelName} added successfully with ID ${modelId}`)
|
||||
return { success: true }
|
||||
}
|
||||
|
||||
/**
|
||||
* Stop the model download process if it's running
|
||||
* @returns Promise<{ success: boolean; message?: string }>
|
||||
*/
|
||||
public async stopAddModel(): Promise<{ success: boolean; message?: string }> {
|
||||
try {
|
||||
// Check if ovdnd.exe process is running
|
||||
const psCommand = `Get-Process -Name "ovdnd" -ErrorAction SilentlyContinue | Select-Object Id, Path | ConvertTo-Json`
|
||||
const { stdout } = await execAsync(`powershell -Command "${psCommand}"`)
|
||||
|
||||
if (!stdout.trim()) {
|
||||
logger.info('ovdnd process is not running')
|
||||
return { success: true, message: 'Model download process is not running' }
|
||||
}
|
||||
|
||||
const processes = JSON.parse(stdout)
|
||||
const processList = Array.isArray(processes) ? processes : [processes]
|
||||
|
||||
if (processList.length === 0) {
|
||||
logger.info('ovdnd process is not running')
|
||||
return { success: true, message: 'Model download process is not running' }
|
||||
}
|
||||
|
||||
// Terminate all ovdnd processes
|
||||
for (const process of processList) {
|
||||
this.terminalProcess(process.Id)
|
||||
}
|
||||
|
||||
logger.info('Model download process stopped successfully')
|
||||
return { success: true, message: 'Model download process stopped successfully' }
|
||||
} catch (error) {
|
||||
logger.error(`Failed to stop model download process: ${error}`)
|
||||
return { success: false, message: 'Failed to stop model download process' }
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* check if the model id exists in the OVMS configuration
|
||||
* @param modelId ID of the model to check
|
||||
*/
|
||||
public async checkModelExists(modelId: string): Promise<boolean> {
|
||||
const homeDir = homedir()
|
||||
const ovmsDir = path.join(homeDir, '.cherrystudio', 'ovms', 'ovms')
|
||||
const configPath = path.join(ovmsDir, 'models', 'config.json')
|
||||
|
||||
try {
|
||||
if (!(await fs.pathExists(configPath))) {
|
||||
logger.warn(`Config file does not exist: ${configPath}`)
|
||||
return false
|
||||
}
|
||||
|
||||
const config: OvmsConfig = await fs.readJson(configPath)
|
||||
if (!config.mediapipe_config_list) {
|
||||
logger.warn('No mediapipe_config_list found in config')
|
||||
return false
|
||||
}
|
||||
|
||||
return config.mediapipe_config_list.some((model) => model.base_path === modelId)
|
||||
} catch (error) {
|
||||
logger.error(`Failed to check model existence: ${error}`)
|
||||
return false
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Update the model configuration file
|
||||
*/
|
||||
public async updateModelConfig(modelName: string, modelId: string): Promise<boolean> {
|
||||
const homeDir = homedir()
|
||||
const ovmsDir = path.join(homeDir, '.cherrystudio', 'ovms', 'ovms')
|
||||
const configPath = path.join(ovmsDir, 'models', 'config.json')
|
||||
|
||||
try {
|
||||
// Ensure the models directory exists
|
||||
await fs.ensureDir(path.dirname(configPath))
|
||||
let config: OvmsConfig
|
||||
|
||||
// Read existing config or create new one
|
||||
if (await fs.pathExists(configPath)) {
|
||||
config = await fs.readJson(configPath)
|
||||
} else {
|
||||
config = { mediapipe_config_list: [] }
|
||||
}
|
||||
|
||||
// Ensure mediapipe_config_list exists
|
||||
if (!config.mediapipe_config_list) {
|
||||
config.mediapipe_config_list = []
|
||||
}
|
||||
|
||||
// Add new model config
|
||||
const newModelConfig: ModelConfig = {
|
||||
name: modelName,
|
||||
base_path: modelId
|
||||
}
|
||||
|
||||
// Check if model already exists, if so, update it
|
||||
const existingIndex = config.mediapipe_config_list.findIndex((model) => model.base_path === modelId)
|
||||
|
||||
if (existingIndex >= 0) {
|
||||
config.mediapipe_config_list[existingIndex] = newModelConfig
|
||||
logger.info(`Updated existing model config: ${modelName}`)
|
||||
} else {
|
||||
config.mediapipe_config_list.push(newModelConfig)
|
||||
logger.info(`Added new model config: ${modelName}`)
|
||||
}
|
||||
|
||||
// Write config back to file
|
||||
await fs.writeJson(configPath, config, { spaces: 2 })
|
||||
logger.info(`Config file updated: ${configPath}`)
|
||||
} catch (error) {
|
||||
logger.error(`Failed to update model config: ${error}`)
|
||||
return false
|
||||
}
|
||||
return true
|
||||
}
|
||||
|
||||
/**
|
||||
* Get all models from OVMS config, filtered for image generation models
|
||||
* @returns Array of model configurations
|
||||
*/
|
||||
public async getModels(): Promise<ModelConfig[]> {
|
||||
const homeDir = homedir()
|
||||
const ovmsDir = path.join(homeDir, '.cherrystudio', 'ovms', 'ovms')
|
||||
const configPath = path.join(ovmsDir, 'models', 'config.json')
|
||||
|
||||
try {
|
||||
if (!(await fs.pathExists(configPath))) {
|
||||
logger.warn(`Config file does not exist: ${configPath}`)
|
||||
return []
|
||||
}
|
||||
|
||||
const config: OvmsConfig = await fs.readJson(configPath)
|
||||
if (!config.mediapipe_config_list) {
|
||||
logger.warn('No mediapipe_config_list found in config')
|
||||
return []
|
||||
}
|
||||
|
||||
// Filter models for image generation (SD, Stable-Diffusion, Stable Diffusion, FLUX)
|
||||
const imageGenerationModels = config.mediapipe_config_list.filter((model) => {
|
||||
const modelName = model.name.toLowerCase()
|
||||
return (
|
||||
modelName.startsWith('sd') ||
|
||||
modelName.startsWith('stable-diffusion') ||
|
||||
modelName.startsWith('stable diffusion') ||
|
||||
modelName.startsWith('flux')
|
||||
)
|
||||
})
|
||||
|
||||
logger.info(`Found ${imageGenerationModels.length} image generation models`)
|
||||
return imageGenerationModels
|
||||
} catch (error) {
|
||||
logger.error(`Failed to get models: ${error}`)
|
||||
return []
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
export default OvmsManager
|
||||
@@ -274,4 +274,46 @@ describe('AppUpdater', () => {
|
||||
expect(result.releaseNotes).toBeNull()
|
||||
})
|
||||
})
|
||||
|
||||
describe('formatReleaseNotes', () => {
|
||||
it('should format string release notes with markers', () => {
|
||||
vi.mocked(configManager.getLanguage).mockReturnValue('en-US')
|
||||
const notes = `<!--LANG:en-->English<!--LANG:zh-CN-->中文<!--LANG:END-->`
|
||||
|
||||
const result = (appUpdater as any).formatReleaseNotes(notes)
|
||||
|
||||
expect(result).toBe('English')
|
||||
})
|
||||
|
||||
it('should format string release notes without markers', () => {
|
||||
const notes = 'Simple notes'
|
||||
|
||||
const result = (appUpdater as any).formatReleaseNotes(notes)
|
||||
|
||||
expect(result).toBe('Simple notes')
|
||||
})
|
||||
|
||||
it('should format array release notes', () => {
|
||||
const notes = [
|
||||
{ version: '1.0.0', note: 'Note 1' },
|
||||
{ version: '1.0.1', note: 'Note 2' }
|
||||
]
|
||||
|
||||
const result = (appUpdater as any).formatReleaseNotes(notes)
|
||||
|
||||
expect(result).toBe('Note 1\nNote 2')
|
||||
})
|
||||
|
||||
it('should handle null release notes', () => {
|
||||
const result = (appUpdater as any).formatReleaseNotes(null)
|
||||
|
||||
expect(result).toBe('')
|
||||
})
|
||||
|
||||
it('should handle undefined release notes', () => {
|
||||
const result = (appUpdater as any).formatReleaseNotes(undefined)
|
||||
|
||||
expect(result).toBe('')
|
||||
})
|
||||
})
|
||||
})
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
import { createHash } from 'node:crypto'
|
||||
import * as fs from 'node:fs'
|
||||
import { readFile } from 'node:fs/promises'
|
||||
import os from 'node:os'
|
||||
@@ -265,12 +264,11 @@ export async function scanDir(dirPath: string, depth = 0, basePath?: string): Pr
|
||||
|
||||
if (entry.isDirectory() && options.includeDirectories) {
|
||||
const stats = await fs.promises.stat(entryPath)
|
||||
const externalDirPath = entryPath.replace(/\\/g, '/')
|
||||
const dirTreeNode: NotesTreeNode = {
|
||||
id: createHash('sha1').update(externalDirPath).digest('hex'),
|
||||
id: uuidv4(),
|
||||
name: entry.name,
|
||||
treePath: treePath,
|
||||
externalPath: externalDirPath,
|
||||
externalPath: entryPath,
|
||||
createdAt: stats.birthtime.toISOString(),
|
||||
updatedAt: stats.mtime.toISOString(),
|
||||
type: 'folder',
|
||||
@@ -301,12 +299,11 @@ export async function scanDir(dirPath: string, depth = 0, basePath?: string): Pr
|
||||
? `/${dirRelativePath.replace(/\\/g, '/')}/${nameWithoutExt}`
|
||||
: `/${nameWithoutExt}`
|
||||
|
||||
const externalFilePath = entryPath.replace(/\\/g, '/')
|
||||
const fileTreeNode: NotesTreeNode = {
|
||||
id: createHash('sha1').update(externalFilePath).digest('hex'),
|
||||
id: uuidv4(),
|
||||
name: name,
|
||||
treePath: fileTreePath,
|
||||
externalPath: externalFilePath,
|
||||
externalPath: entryPath,
|
||||
createdAt: stats.birthtime.toISOString(),
|
||||
updatedAt: stats.mtime.toISOString(),
|
||||
type: 'file'
|
||||
|
||||
@@ -51,7 +51,7 @@ const api = {
|
||||
setProxy: (proxy: string | undefined, bypassRules?: string) =>
|
||||
ipcRenderer.invoke(IpcChannel.App_Proxy, proxy, bypassRules),
|
||||
checkForUpdate: () => ipcRenderer.invoke(IpcChannel.App_CheckForUpdate),
|
||||
quitAndInstall: () => ipcRenderer.invoke(IpcChannel.App_QuitAndInstall),
|
||||
showUpdateDialog: () => ipcRenderer.invoke(IpcChannel.App_ShowUpdateDialog),
|
||||
setLanguage: (lang: string) => ipcRenderer.invoke(IpcChannel.App_SetLanguage, lang),
|
||||
setEnableSpellCheck: (isEnable: boolean) => ipcRenderer.invoke(IpcChannel.App_SetEnableSpellCheck, isEnable),
|
||||
setSpellCheckLanguages: (languages: string[]) => ipcRenderer.invoke(IpcChannel.App_SetSpellCheckLanguages, languages),
|
||||
@@ -95,8 +95,7 @@ const api = {
|
||||
},
|
||||
system: {
|
||||
getDeviceType: () => ipcRenderer.invoke(IpcChannel.System_GetDeviceType),
|
||||
getHostname: () => ipcRenderer.invoke(IpcChannel.System_GetHostname),
|
||||
getCpuName: () => ipcRenderer.invoke(IpcChannel.System_GetCpuName)
|
||||
getHostname: () => ipcRenderer.invoke(IpcChannel.System_GetHostname)
|
||||
},
|
||||
devTools: {
|
||||
toggle: () => ipcRenderer.invoke(IpcChannel.System_ToggleDevTools)
|
||||
@@ -221,7 +220,7 @@ const api = {
|
||||
create: (base: KnowledgeBaseParams, context?: SpanContext) =>
|
||||
tracedInvoke(IpcChannel.KnowledgeBase_Create, context, base),
|
||||
reset: (base: KnowledgeBaseParams) => ipcRenderer.invoke(IpcChannel.KnowledgeBase_Reset, base),
|
||||
delete: (id: string) => ipcRenderer.invoke(IpcChannel.KnowledgeBase_Delete, id),
|
||||
delete: (base: KnowledgeBaseParams, id: string) => ipcRenderer.invoke(IpcChannel.KnowledgeBase_Delete, base, id),
|
||||
add: ({
|
||||
base,
|
||||
item,
|
||||
@@ -286,16 +285,6 @@ const api = {
|
||||
clearAuthCache: (projectId: string, clientEmail?: string) =>
|
||||
ipcRenderer.invoke(IpcChannel.VertexAI_ClearAuthCache, projectId, clientEmail)
|
||||
},
|
||||
ovms: {
|
||||
addModel: (modelName: string, modelId: string, modelSource: string, task: string) =>
|
||||
ipcRenderer.invoke(IpcChannel.Ovms_AddModel, modelName, modelId, modelSource, task),
|
||||
stopAddModel: () => ipcRenderer.invoke(IpcChannel.Ovms_StopAddModel),
|
||||
getModels: () => ipcRenderer.invoke(IpcChannel.Ovms_GetModels),
|
||||
isRunning: () => ipcRenderer.invoke(IpcChannel.Ovms_IsRunning),
|
||||
getStatus: () => ipcRenderer.invoke(IpcChannel.Ovms_GetStatus),
|
||||
runOvms: () => ipcRenderer.invoke(IpcChannel.Ovms_RunOVMS),
|
||||
stopOvms: () => ipcRenderer.invoke(IpcChannel.Ovms_StopOVMS)
|
||||
},
|
||||
config: {
|
||||
set: (key: string, value: any, isNotify: boolean = false) =>
|
||||
ipcRenderer.invoke(IpcChannel.Config_Set, key, value, isNotify),
|
||||
@@ -361,7 +350,6 @@ const api = {
|
||||
getBinaryPath: (name: string) => ipcRenderer.invoke(IpcChannel.App_GetBinaryPath, name),
|
||||
installUVBinary: () => ipcRenderer.invoke(IpcChannel.App_InstallUvBinary),
|
||||
installBunBinary: () => ipcRenderer.invoke(IpcChannel.App_InstallBunBinary),
|
||||
installOvmsBinary: () => ipcRenderer.invoke(IpcChannel.App_InstallOvmsBinary),
|
||||
protocol: {
|
||||
onReceiveData: (callback: (data: { url: string; params: any }) => void) => {
|
||||
const listener = (_event: Electron.IpcRendererEvent, data: { url: string; params: any }) => {
|
||||
|
||||
@@ -22,8 +22,6 @@ export class AiSdkToChunkAdapter {
|
||||
private accumulate: boolean | undefined
|
||||
private isFirstChunk = true
|
||||
private enableWebSearch: boolean = false
|
||||
private responseStartTimestamp: number | null = null
|
||||
private firstTokenTimestamp: number | null = null
|
||||
|
||||
constructor(
|
||||
private onChunk: (chunk: Chunk) => void,
|
||||
@@ -36,17 +34,6 @@ export class AiSdkToChunkAdapter {
|
||||
this.enableWebSearch = enableWebSearch || false
|
||||
}
|
||||
|
||||
private markFirstTokenIfNeeded() {
|
||||
if (this.firstTokenTimestamp === null && this.responseStartTimestamp !== null) {
|
||||
this.firstTokenTimestamp = Date.now()
|
||||
}
|
||||
}
|
||||
|
||||
private resetTimingState() {
|
||||
this.responseStartTimestamp = null
|
||||
this.firstTokenTimestamp = null
|
||||
}
|
||||
|
||||
/**
|
||||
* 处理 AI SDK 流结果
|
||||
* @param aiSdkResult AI SDK 的流结果对象
|
||||
@@ -74,8 +61,6 @@ export class AiSdkToChunkAdapter {
|
||||
webSearchResults: [],
|
||||
reasoningId: ''
|
||||
}
|
||||
this.resetTimingState()
|
||||
this.responseStartTimestamp = Date.now()
|
||||
// Reset link converter state at the start of stream
|
||||
this.isFirstChunk = true
|
||||
|
||||
@@ -88,7 +73,6 @@ export class AiSdkToChunkAdapter {
|
||||
if (this.enableWebSearch) {
|
||||
const remainingText = flushLinkConverterBuffer()
|
||||
if (remainingText) {
|
||||
this.markFirstTokenIfNeeded()
|
||||
this.onChunk({
|
||||
type: ChunkType.TEXT_DELTA,
|
||||
text: remainingText
|
||||
@@ -103,7 +87,6 @@ export class AiSdkToChunkAdapter {
|
||||
}
|
||||
} finally {
|
||||
reader.releaseLock()
|
||||
this.resetTimingState()
|
||||
}
|
||||
}
|
||||
|
||||
@@ -154,7 +137,6 @@ export class AiSdkToChunkAdapter {
|
||||
|
||||
// Only emit chunk if there's text to send
|
||||
if (finalText) {
|
||||
this.markFirstTokenIfNeeded()
|
||||
this.onChunk({
|
||||
type: ChunkType.TEXT_DELTA,
|
||||
text: this.accumulate ? final.text : finalText
|
||||
@@ -179,18 +161,16 @@ export class AiSdkToChunkAdapter {
|
||||
break
|
||||
case 'reasoning-delta':
|
||||
final.reasoningContent += chunk.text || ''
|
||||
if (chunk.text) {
|
||||
this.markFirstTokenIfNeeded()
|
||||
}
|
||||
this.onChunk({
|
||||
type: ChunkType.THINKING_DELTA,
|
||||
text: final.reasoningContent || ''
|
||||
text: final.reasoningContent || '',
|
||||
thinking_millsec: (chunk.providerMetadata?.metadata?.thinking_millsec as number) || 0
|
||||
})
|
||||
break
|
||||
case 'reasoning-end':
|
||||
this.onChunk({
|
||||
type: ChunkType.THINKING_COMPLETE,
|
||||
text: final.reasoningContent || ''
|
||||
text: (chunk.providerMetadata?.metadata?.thinking_content as string) || final.reasoningContent
|
||||
})
|
||||
final.reasoningContent = ''
|
||||
break
|
||||
@@ -281,37 +261,44 @@ export class AiSdkToChunkAdapter {
|
||||
break
|
||||
}
|
||||
|
||||
case 'finish': {
|
||||
const usage = {
|
||||
completion_tokens: chunk.totalUsage?.outputTokens || 0,
|
||||
prompt_tokens: chunk.totalUsage?.inputTokens || 0,
|
||||
total_tokens: chunk.totalUsage?.totalTokens || 0
|
||||
}
|
||||
const metrics = this.buildMetrics(chunk.totalUsage)
|
||||
const baseResponse = {
|
||||
text: final.text || '',
|
||||
reasoning_content: final.reasoningContent || ''
|
||||
}
|
||||
|
||||
case 'finish':
|
||||
this.onChunk({
|
||||
type: ChunkType.BLOCK_COMPLETE,
|
||||
response: {
|
||||
...baseResponse,
|
||||
usage: { ...usage },
|
||||
metrics: metrics ? { ...metrics } : undefined
|
||||
text: final.text || '',
|
||||
reasoning_content: final.reasoningContent || '',
|
||||
usage: {
|
||||
completion_tokens: chunk.totalUsage.outputTokens || 0,
|
||||
prompt_tokens: chunk.totalUsage.inputTokens || 0,
|
||||
total_tokens: chunk.totalUsage.totalTokens || 0
|
||||
},
|
||||
metrics: chunk.totalUsage
|
||||
? {
|
||||
completion_tokens: chunk.totalUsage.outputTokens || 0,
|
||||
time_completion_millsec: 0
|
||||
}
|
||||
: undefined
|
||||
}
|
||||
})
|
||||
this.onChunk({
|
||||
type: ChunkType.LLM_RESPONSE_COMPLETE,
|
||||
response: {
|
||||
...baseResponse,
|
||||
usage: { ...usage },
|
||||
metrics: metrics ? { ...metrics } : undefined
|
||||
text: final.text || '',
|
||||
reasoning_content: final.reasoningContent || '',
|
||||
usage: {
|
||||
completion_tokens: chunk.totalUsage.outputTokens || 0,
|
||||
prompt_tokens: chunk.totalUsage.inputTokens || 0,
|
||||
total_tokens: chunk.totalUsage.totalTokens || 0
|
||||
},
|
||||
metrics: chunk.totalUsage
|
||||
? {
|
||||
completion_tokens: chunk.totalUsage.outputTokens || 0,
|
||||
time_completion_millsec: 0
|
||||
}
|
||||
: undefined
|
||||
}
|
||||
})
|
||||
this.resetTimingState()
|
||||
break
|
||||
}
|
||||
|
||||
// === 源和文件相关事件 ===
|
||||
case 'source':
|
||||
@@ -347,34 +334,6 @@ export class AiSdkToChunkAdapter {
|
||||
default:
|
||||
}
|
||||
}
|
||||
|
||||
private buildMetrics(totalUsage?: {
|
||||
inputTokens?: number | null
|
||||
outputTokens?: number | null
|
||||
totalTokens?: number | null
|
||||
}) {
|
||||
if (!totalUsage) {
|
||||
return undefined
|
||||
}
|
||||
|
||||
const completionTokens = totalUsage.outputTokens ?? 0
|
||||
const now = Date.now()
|
||||
const start = this.responseStartTimestamp ?? now
|
||||
const firstToken = this.firstTokenTimestamp
|
||||
const timeFirstToken = Math.max(firstToken != null ? firstToken - start : 0, 0)
|
||||
const baseForCompletion = firstToken ?? start
|
||||
let timeCompletion = Math.max(now - baseForCompletion, 0)
|
||||
|
||||
if (timeCompletion === 0 && completionTokens > 0) {
|
||||
timeCompletion = 1
|
||||
}
|
||||
|
||||
return {
|
||||
completion_tokens: completionTokens,
|
||||
time_first_token_millsec: timeFirstToken,
|
||||
time_completion_millsec: timeCompletion
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
export default AiSdkToChunkAdapter
|
||||
|
||||
@@ -12,7 +12,6 @@ import { VertexAPIClient } from './gemini/VertexAPIClient'
|
||||
import { NewAPIClient } from './newapi/NewAPIClient'
|
||||
import { OpenAIAPIClient } from './openai/OpenAIApiClient'
|
||||
import { OpenAIResponseAPIClient } from './openai/OpenAIResponseAPIClient'
|
||||
import { OVMSClient } from './ovms/OVMSClient'
|
||||
import { PPIOAPIClient } from './ppio/PPIOAPIClient'
|
||||
import { ZhipuAPIClient } from './zhipu/ZhipuAPIClient'
|
||||
|
||||
@@ -64,12 +63,6 @@ export class ApiClientFactory {
|
||||
return instance
|
||||
}
|
||||
|
||||
if (provider.id === 'ovms') {
|
||||
logger.debug(`Creating OVMSClient for provider: ${provider.id}`)
|
||||
instance = new OVMSClient(provider) as BaseApiClient
|
||||
return instance
|
||||
}
|
||||
|
||||
// 然后检查标准的 Provider Type
|
||||
switch (provider.type) {
|
||||
case 'openai':
|
||||
|
||||
@@ -1,56 +0,0 @@
|
||||
import { loggerService } from '@logger'
|
||||
import { isSupportedModel } from '@renderer/config/models'
|
||||
import { objectKeys, Provider } from '@renderer/types'
|
||||
import OpenAI from 'openai'
|
||||
|
||||
import { OpenAIAPIClient } from '../openai/OpenAIApiClient'
|
||||
|
||||
const logger = loggerService.withContext('OVMSClient')
|
||||
|
||||
export class OVMSClient extends OpenAIAPIClient {
|
||||
constructor(provider: Provider) {
|
||||
super(provider)
|
||||
}
|
||||
|
||||
override async listModels(): Promise<OpenAI.Models.Model[]> {
|
||||
try {
|
||||
const sdk = await this.getSdkInstance()
|
||||
|
||||
const chatModelsResponse = await sdk.request({
|
||||
method: 'get',
|
||||
path: '../v1/config'
|
||||
})
|
||||
logger.debug(`Chat models response: ${JSON.stringify(chatModelsResponse)}`)
|
||||
|
||||
// Parse the config response to extract model information
|
||||
const config = chatModelsResponse as Record<string, any>
|
||||
const models = objectKeys(config)
|
||||
.map((modelName) => {
|
||||
const modelInfo = config[modelName]
|
||||
|
||||
// Check if model has at least one version with "AVAILABLE" state
|
||||
const hasAvailableVersion = modelInfo?.model_version_status?.some(
|
||||
(versionStatus: any) => versionStatus?.state === 'AVAILABLE'
|
||||
)
|
||||
|
||||
if (hasAvailableVersion) {
|
||||
return {
|
||||
id: modelName,
|
||||
object: 'model' as const,
|
||||
owned_by: 'ovms',
|
||||
created: Date.now()
|
||||
}
|
||||
}
|
||||
return null // Skip models without available versions
|
||||
})
|
||||
.filter(Boolean) // Remove null entries
|
||||
logger.debug(`Processed models: ${JSON.stringify(models)}`)
|
||||
|
||||
// Filter out unsupported models
|
||||
return models.filter((model): model is OpenAI.Models.Model => model !== null && isSupportedModel(model))
|
||||
} catch (error) {
|
||||
logger.error(`Error listing OVMS models: ${error}`)
|
||||
return []
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -5,6 +5,7 @@ import { getEnableDeveloperMode } from '@renderer/hooks/useSettings'
|
||||
import { Assistant } from '@renderer/types'
|
||||
|
||||
import { AiSdkMiddlewareConfig } from '../middleware/AiSdkMiddlewareBuilder'
|
||||
import reasoningTimePlugin from './reasoningTimePlugin'
|
||||
import { searchOrchestrationPlugin } from './searchOrchestrationPlugin'
|
||||
import { createTelemetryPlugin } from './telemetryPlugin'
|
||||
|
||||
@@ -38,9 +39,9 @@ export function buildPlugins(
|
||||
}
|
||||
|
||||
// 3. 推理模型时添加推理插件
|
||||
// if (middlewareConfig.enableReasoning) {
|
||||
// plugins.push(reasoningTimePlugin)
|
||||
// }
|
||||
if (middlewareConfig.enableReasoning) {
|
||||
plugins.push(reasoningTimePlugin)
|
||||
}
|
||||
|
||||
// 4. 启用Prompt工具调用时添加工具插件
|
||||
if (middlewareConfig.isPromptToolUse) {
|
||||
|
||||
@@ -23,7 +23,6 @@ import { CherryWebSearchConfig } from '@renderer/store/websearch'
|
||||
import { type Assistant, type MCPTool, type Provider } from '@renderer/types'
|
||||
import type { StreamTextParams } from '@renderer/types/aiCoreTypes'
|
||||
import { mapRegexToPatterns } from '@renderer/utils/blacklistMatchPattern'
|
||||
import { replacePromptVariables } from '@renderer/utils/prompt'
|
||||
import type { ModelMessage, Tool } from 'ai'
|
||||
import { stepCountIs } from 'ai'
|
||||
|
||||
@@ -167,7 +166,7 @@ export async function buildStreamTextParams(
|
||||
params.tools = tools
|
||||
}
|
||||
if (assistant.prompt) {
|
||||
params.system = await replacePromptVariables(assistant.prompt, model.name)
|
||||
params.system = assistant.prompt
|
||||
}
|
||||
logger.debug('params', params)
|
||||
return {
|
||||
|
||||
@@ -18,7 +18,7 @@ import { loggerService } from '@renderer/services/LoggerService'
|
||||
import store from '@renderer/store'
|
||||
import { isSystemProvider, type Model, type Provider } from '@renderer/types'
|
||||
import { formatApiHost } from '@renderer/utils/api'
|
||||
import { cloneDeep, trim } from 'lodash'
|
||||
import { cloneDeep, isEmpty } from 'lodash'
|
||||
|
||||
import { aihubmixProviderCreator, newApiResolverCreator, vertexAnthropicProviderCreator } from './config'
|
||||
import { getAiSdkProviderId } from './factory'
|
||||
@@ -120,7 +120,7 @@ export function providerToAiSdkConfig(
|
||||
|
||||
// 构建基础配置
|
||||
const baseConfig = {
|
||||
baseURL: trim(actualProvider.apiHost),
|
||||
baseURL: actualProvider.apiHost,
|
||||
apiKey: getRotatedApiKey(actualProvider)
|
||||
}
|
||||
// 处理OpenAI模式
|
||||
@@ -195,10 +195,7 @@ export function providerToAiSdkConfig(
|
||||
} else if (baseConfig.baseURL.endsWith('/v1')) {
|
||||
baseConfig.baseURL = baseConfig.baseURL.slice(0, -3)
|
||||
}
|
||||
|
||||
if (baseConfig.baseURL && !baseConfig.baseURL.includes('publishers/google')) {
|
||||
baseConfig.baseURL = `${baseConfig.baseURL}/v1/projects/${project}/locations/${location}/publishers/google`
|
||||
}
|
||||
baseConfig.baseURL = isEmpty(baseConfig.baseURL) ? '' : baseConfig.baseURL
|
||||
}
|
||||
|
||||
// 如果AI SDK支持该provider,使用原生配置
|
||||
|
||||
@@ -18,13 +18,12 @@ export const knowledgeSearchTool = (
|
||||
) => {
|
||||
return tool({
|
||||
name: 'builtin_knowledge_search',
|
||||
description: `Knowledge base search tool for retrieving information from user's private knowledge base. This searches your local collection of documents, web content, notes, and other materials you have stored.
|
||||
description: `Search the knowledge base for relevant information using pre-analyzed search intent.
|
||||
|
||||
This tool has been configured with search parameters based on the conversation context:
|
||||
- Prepared queries: ${extractedKeywords.question.map((q) => `"${q}"`).join(', ')}
|
||||
- Query rewrite: "${extractedKeywords.rewrite}"
|
||||
Pre-extracted search queries: "${extractedKeywords.question.join(', ')}"
|
||||
Rewritten query: "${extractedKeywords.rewrite}"
|
||||
|
||||
You can use this tool as-is, or provide additionalContext to refine the search focus within the knowledge base.`,
|
||||
Call this tool to execute the search. You can optionally provide additional context to refine the search.`,
|
||||
|
||||
inputSchema: z.object({
|
||||
additionalContext: z
|
||||
|
||||
@@ -21,17 +21,16 @@ export const webSearchToolWithPreExtractedKeywords = (
|
||||
|
||||
return tool({
|
||||
name: 'builtin_web_search',
|
||||
description: `Web search tool for finding current information, news, and real-time data from the internet.
|
||||
description: `Search the web and return citable sources using pre-analyzed search intent.
|
||||
|
||||
This tool has been configured with search parameters based on the conversation context:
|
||||
- Prepared queries: ${extractedKeywords.question.map((q) => `"${q}"`).join(', ')}${
|
||||
extractedKeywords.links?.length
|
||||
Pre-extracted search keywords: "${extractedKeywords.question.join(', ')}"${
|
||||
extractedKeywords.links
|
||||
? `
|
||||
- Relevant URLs: ${extractedKeywords.links.join(', ')}`
|
||||
Relevant links: ${extractedKeywords.links.join(', ')}`
|
||||
: ''
|
||||
}
|
||||
|
||||
You can use this tool as-is to search with the prepared queries, or provide additionalContext to refine or replace the search terms.`,
|
||||
Call this tool to execute the search. You can optionally provide additional context to refine the search.`,
|
||||
|
||||
inputSchema: z.object({
|
||||
additionalContext: z
|
||||
|
||||
|
Before Width: | Height: | Size: 9.3 KiB After Width: | Height: | Size: 3.8 KiB |
|
Before Width: | Height: | Size: 1.1 KiB |
|
Before Width: | Height: | Size: 4.9 KiB After Width: | Height: | Size: 3.1 KiB |
BIN
src/renderer/src/assets/images/apps/yuewen.png
Normal file
|
After Width: | Height: | Size: 4.3 KiB |
|
Before Width: | Height: | Size: 25 KiB |
|
Before Width: | Height: | Size: 3.6 KiB |
|
Before Width: | Height: | Size: 1.6 KiB |
@@ -163,6 +163,13 @@
|
||||
}
|
||||
}
|
||||
|
||||
@layer components {
|
||||
@keyframes fadeInWithBlur {
|
||||
from { opacity: 0; filter: blur(2px); }
|
||||
to { opacity: 1; filter: blur(0px); }
|
||||
}
|
||||
}
|
||||
|
||||
:root {
|
||||
background-color: unset;
|
||||
}
|
||||
|
||||
@@ -75,15 +75,10 @@ export interface CodeEditorProps {
|
||||
/** CSS class name appended to the default `code-editor` class. */
|
||||
className?: string
|
||||
/**
|
||||
* Whether the editor view is editable.
|
||||
* Whether the editor is editable.
|
||||
* @default true
|
||||
*/
|
||||
editable?: boolean
|
||||
/**
|
||||
* Set the editor state to read only but keep some user interactions, e.g., keymaps.
|
||||
* @default false
|
||||
*/
|
||||
readOnly?: boolean
|
||||
/**
|
||||
* Whether the editor is expanded.
|
||||
* If true, the height and maxHeight props are ignored.
|
||||
@@ -119,7 +114,6 @@ const CodeEditor = ({
|
||||
style,
|
||||
className,
|
||||
editable = true,
|
||||
readOnly = false,
|
||||
expanded = true,
|
||||
wrapped = true
|
||||
}: CodeEditorProps) => {
|
||||
@@ -195,7 +189,6 @@ const CodeEditor = ({
|
||||
maxHeight={expanded ? undefined : maxHeight}
|
||||
minHeight={minHeight}
|
||||
editable={editable}
|
||||
readOnly={readOnly}
|
||||
// @ts-ignore 强制使用,见 react-codemirror 的 Example.tsx
|
||||
theme={activeCmTheme}
|
||||
extensions={customExtensions}
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
import { cn } from '@heroui/react'
|
||||
import Scrollbar from '@renderer/components/Scrollbar'
|
||||
import { ChevronRight } from 'lucide-react'
|
||||
import { useEffect, useRef, useState } from 'react'
|
||||
@@ -18,10 +17,6 @@ export interface HorizontalScrollContainerProps {
|
||||
dependencies?: readonly unknown[]
|
||||
scrollDistance?: number
|
||||
className?: string
|
||||
classNames?: {
|
||||
container?: string
|
||||
content?: string
|
||||
}
|
||||
gap?: string
|
||||
expandable?: boolean
|
||||
}
|
||||
@@ -31,7 +26,6 @@ const HorizontalScrollContainer: React.FC<HorizontalScrollContainerProps> = ({
|
||||
dependencies = [],
|
||||
scrollDistance = 200,
|
||||
className,
|
||||
classNames,
|
||||
gap = '8px',
|
||||
expandable = false
|
||||
}) => {
|
||||
@@ -101,16 +95,11 @@ const HorizontalScrollContainer: React.FC<HorizontalScrollContainerProps> = ({
|
||||
|
||||
return (
|
||||
<Container
|
||||
className={cn(className, classNames?.container)}
|
||||
className={className}
|
||||
$expandable={expandable}
|
||||
$disableHoverButton={isScrolledToEnd}
|
||||
onClick={expandable ? handleContainerClick : undefined}>
|
||||
<ScrollContent
|
||||
ref={scrollRef}
|
||||
$gap={gap}
|
||||
$isExpanded={isExpanded}
|
||||
$expandable={expandable}
|
||||
className={cn(classNames?.content)}>
|
||||
<ScrollContent ref={scrollRef} $gap={gap} $isExpanded={isExpanded} $expandable={expandable}>
|
||||
{children}
|
||||
</ScrollContent>
|
||||
{canScroll && !isExpanded && !isScrolledToEnd && (
|
||||
|
||||
@@ -549,7 +549,7 @@ const MinappPopupContainer: React.FC = () => {
|
||||
{/* 在所有小程序中显示GoogleLoginTip */}
|
||||
<GoogleLoginTip isReady={isReady} currentUrl={currentUrl} currentAppId={currentMinappId} />
|
||||
{!isReady && (
|
||||
<EmptyView style={{ backgroundColor: 'var(--color-background-soft)' }}>
|
||||
<EmptyView>
|
||||
<Avatar
|
||||
src={currentAppInfo?.logo}
|
||||
size={80}
|
||||
|
||||
@@ -38,7 +38,6 @@ interface PopupContainerProps {
|
||||
message?: Message
|
||||
messages?: Message[]
|
||||
topic?: Topic
|
||||
rawContent?: string
|
||||
}
|
||||
|
||||
// 转换文件信息数组为树形结构
|
||||
@@ -141,8 +140,7 @@ const PopupContainer: React.FC<PopupContainerProps> = ({
|
||||
resolve,
|
||||
message,
|
||||
messages,
|
||||
topic,
|
||||
rawContent
|
||||
topic
|
||||
}) => {
|
||||
const defaultObsidianVault = store.getState().settings.defaultObsidianVault
|
||||
const [state, setState] = useState({
|
||||
@@ -231,9 +229,7 @@ const PopupContainer: React.FC<PopupContainerProps> = ({
|
||||
return
|
||||
}
|
||||
let markdown = ''
|
||||
if (rawContent) {
|
||||
markdown = rawContent
|
||||
} else if (topic) {
|
||||
if (topic) {
|
||||
markdown = await topicToMarkdown(topic, exportReasoning)
|
||||
} else if (messages && messages.length > 0) {
|
||||
markdown = messagesToMarkdown(messages, exportReasoning)
|
||||
@@ -303,6 +299,7 @@ const PopupContainer: React.FC<PopupContainerProps> = ({
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return (
|
||||
<Modal
|
||||
title={i18n.t('chat.topics.export.obsidian_atributes')}
|
||||
@@ -413,11 +410,9 @@ const PopupContainer: React.FC<PopupContainerProps> = ({
|
||||
</Option>
|
||||
</Select>
|
||||
</Form.Item>
|
||||
{!rawContent && (
|
||||
<Form.Item label={i18n.t('chat.topics.export.obsidian_reasoning')}>
|
||||
<Switch checked={exportReasoning} onChange={setExportReasoning} />
|
||||
</Form.Item>
|
||||
)}
|
||||
<Form.Item label={i18n.t('chat.topics.export.obsidian_reasoning')}>
|
||||
<Switch checked={exportReasoning} onChange={setExportReasoning} />
|
||||
</Form.Item>
|
||||
</Form>
|
||||
</Modal>
|
||||
)
|
||||
|
||||
@@ -9,7 +9,6 @@ interface ObsidianExportOptions {
|
||||
topic?: Topic
|
||||
message?: Message
|
||||
messages?: Message[]
|
||||
rawContent?: string
|
||||
}
|
||||
|
||||
export default class ObsidianExportPopup {
|
||||
@@ -25,7 +24,6 @@ export default class ObsidianExportPopup {
|
||||
topic={options.topic}
|
||||
message={options.message}
|
||||
messages={options.messages}
|
||||
rawContent={options.rawContent}
|
||||
obsidianTags={''}
|
||||
open={true}
|
||||
resolve={(v) => {
|
||||
|
||||
@@ -253,39 +253,12 @@ const PopupContainer: React.FC<Props> = ({ source, title, resolve }) => {
|
||||
let savedCount = 0
|
||||
|
||||
try {
|
||||
// Validate knowledge base configuration before proceeding
|
||||
if (!selectedBaseId) {
|
||||
throw new Error('No knowledge base selected')
|
||||
}
|
||||
|
||||
const selectedBase = bases.find((base) => base.id === selectedBaseId)
|
||||
if (!selectedBase) {
|
||||
throw new Error('Selected knowledge base not found')
|
||||
}
|
||||
|
||||
if (!selectedBase.version) {
|
||||
throw new Error('Knowledge base is not properly configured. Please check the knowledge base settings.')
|
||||
}
|
||||
|
||||
if (isNoteMode) {
|
||||
const note = source.data as NotesTreeNode
|
||||
if (!note.externalPath) {
|
||||
throw new Error('Note external path is required for export')
|
||||
}
|
||||
|
||||
let content = ''
|
||||
try {
|
||||
content = await window.api.file.readExternal(note.externalPath)
|
||||
} catch (error) {
|
||||
logger.error('Failed to read note file:', error as Error)
|
||||
throw new Error('Failed to read note content. Please ensure the file exists and is accessible.')
|
||||
}
|
||||
|
||||
if (!content || content.trim() === '') {
|
||||
throw new Error('Note content is empty. Cannot export empty notes to knowledge base.')
|
||||
}
|
||||
|
||||
logger.debug('Note content loaded', { contentLength: content.length })
|
||||
const content = note.externalPath
|
||||
? await window.api.file.readExternal(note.externalPath)
|
||||
: await window.api.file.read(note.id + '.md')
|
||||
logger.debug('Note content:', content)
|
||||
await addNote(content)
|
||||
savedCount = 1
|
||||
} else {
|
||||
@@ -310,23 +283,9 @@ const PopupContainer: React.FC<Props> = ({ source, title, resolve }) => {
|
||||
resolve({ success: true, savedCount })
|
||||
} catch (error) {
|
||||
logger.error('save failed:', error as Error)
|
||||
|
||||
// Provide more specific error messages
|
||||
let errorMessage = t(
|
||||
isTopicMode ? 'chat.save.topic.knowledge.error.save_failed' : 'chat.save.knowledge.error.save_failed'
|
||||
window.toast.error(
|
||||
t(isTopicMode ? 'chat.save.topic.knowledge.error.save_failed' : 'chat.save.knowledge.error.save_failed')
|
||||
)
|
||||
|
||||
if (error instanceof Error) {
|
||||
if (error.message.includes('not properly configured')) {
|
||||
errorMessage = error.message
|
||||
} else if (error.message.includes('empty')) {
|
||||
errorMessage = error.message
|
||||
} else if (error.message.includes('read note content')) {
|
||||
errorMessage = error.message
|
||||
}
|
||||
}
|
||||
|
||||
window.toast.error(errorMessage)
|
||||
setLoading(false)
|
||||
}
|
||||
}
|
||||
|
||||
@@ -55,15 +55,12 @@ const PopupContainer: React.FC<Props> = ({ text, title, extension, resolve }) =>
|
||||
footer={null}>
|
||||
{extension !== undefined ? (
|
||||
<Editor
|
||||
readOnly={true}
|
||||
editable={false}
|
||||
expanded={false}
|
||||
height="100%"
|
||||
style={{ height: '100%' }}
|
||||
value={text}
|
||||
language={extension}
|
||||
options={{
|
||||
keymap: true
|
||||
}}
|
||||
/>
|
||||
) : (
|
||||
<Text>{text}</Text>
|
||||
|
||||
@@ -48,8 +48,7 @@ const RichEditor = ({
|
||||
enableContentSearch = false,
|
||||
isFullWidth = false,
|
||||
fontFamily = 'default',
|
||||
fontSize = 16,
|
||||
enableSpellCheck = false
|
||||
fontSize = 16
|
||||
// toolbarItems: _toolbarItems // TODO: Implement custom toolbar items
|
||||
}: RichEditorProps & { ref?: React.RefObject<RichEditorRef | null> }) => {
|
||||
// Use the rich editor hook for complete editor management
|
||||
@@ -72,7 +71,6 @@ const RichEditor = ({
|
||||
onBlur,
|
||||
placeholder,
|
||||
editable,
|
||||
enableSpellCheck,
|
||||
scrollParent: () => scrollContainerRef.current,
|
||||
onShowTableActionMenu: ({ position, actions }) => {
|
||||
const iconMap: Record<string, React.ReactNode> = {
|
||||
|
||||
@@ -14,31 +14,6 @@ export const RichEditorWrapper = styled.div<{
|
||||
border-radius: 6px;
|
||||
background: var(--color-background);
|
||||
overflow-y: hidden;
|
||||
.ProseMirror table,
|
||||
.tiptap table {
|
||||
table-layout: auto !important;
|
||||
}
|
||||
|
||||
.ProseMirror table th,
|
||||
.ProseMirror table td,
|
||||
.tiptap th,
|
||||
.tiptap td {
|
||||
white-space: normal !important;
|
||||
word-wrap: break-word !important;
|
||||
word-break: break-word !important;
|
||||
overflow-wrap: break-word !important;
|
||||
overflow: visible !important;
|
||||
text-overflow: clip !important;
|
||||
}
|
||||
|
||||
.ProseMirror table th > *,
|
||||
.ProseMirror table td > *,
|
||||
.tiptap td > *,
|
||||
.tiptap th > * {
|
||||
white-space: normal !important;
|
||||
overflow: visible !important;
|
||||
text-overflow: clip !important;
|
||||
}
|
||||
width: ${({ $isFullWidth }) => ($isFullWidth ? '100%' : '60%')};
|
||||
margin: ${({ $isFullWidth }) => ($isFullWidth ? '0' : '0 auto')};
|
||||
font-family: ${({ $fontFamily }) => ($fontFamily === 'serif' ? 'var(--font-family-serif)' : 'var(--font-family)')};
|
||||
@@ -46,7 +21,6 @@ export const RichEditorWrapper = styled.div<{
|
||||
|
||||
${({ $minHeight }) => $minHeight && `min-height: ${$minHeight}px;`}
|
||||
${({ $maxHeight }) => $maxHeight && `max-height: ${$maxHeight}px;`}
|
||||
|
||||
`
|
||||
|
||||
export const ToolbarWrapper = styled.div`
|
||||
|
||||
@@ -50,8 +50,6 @@ export interface RichEditorProps {
|
||||
fontFamily?: 'default' | 'serif'
|
||||
/** Font size in pixels */
|
||||
fontSize?: number
|
||||
/** Whether to enable spell check */
|
||||
enableSpellCheck?: boolean
|
||||
}
|
||||
|
||||
export interface ToolbarItem {
|
||||
|
||||
@@ -57,8 +57,6 @@ export interface UseRichEditorOptions {
|
||||
editable?: boolean
|
||||
/** Whether to enable table of contents functionality */
|
||||
enableTableOfContents?: boolean
|
||||
/** Whether to enable spell check */
|
||||
enableSpellCheck?: boolean
|
||||
/** Show table action menu (row/column) with concrete actions and position */
|
||||
onShowTableActionMenu?: (payload: {
|
||||
type: 'row' | 'column'
|
||||
@@ -128,7 +126,6 @@ export const useRichEditor = (options: UseRichEditorOptions = {}): UseRichEditor
|
||||
previewLength = 50,
|
||||
placeholder = '',
|
||||
editable = true,
|
||||
enableSpellCheck = false,
|
||||
onShowTableActionMenu,
|
||||
scrollParent
|
||||
} = options
|
||||
@@ -413,9 +410,7 @@ export const useRichEditor = (options: UseRichEditorOptions = {}): UseRichEditor
|
||||
// Allow text selection even when not editable
|
||||
style: editable
|
||||
? ''
|
||||
: 'user-select: text; -webkit-user-select: text; -moz-user-select: text; -ms-user-select: text;',
|
||||
// Set spellcheck attribute on the contenteditable element
|
||||
spellcheck: enableSpellCheck ? 'true' : 'false'
|
||||
: 'user-select: text; -webkit-user-select: text; -moz-user-select: text; -ms-user-select: text;'
|
||||
}
|
||||
},
|
||||
onUpdate: ({ editor }) => {
|
||||
|
||||
@@ -237,17 +237,7 @@ const TabsContainer: React.FC<TabsContainerProps> = ({ children }) => {
|
||||
onSortEnd={onSortEnd}
|
||||
className="tabs-sortable"
|
||||
renderItem={(tab) => (
|
||||
<Tab
|
||||
key={tab.id}
|
||||
active={tab.id === activeTabId}
|
||||
onClick={() => handleTabClick(tab)}
|
||||
onAuxClick={(e) => {
|
||||
if (e.button === 1 && tab.id !== 'home') {
|
||||
e.preventDefault()
|
||||
e.stopPropagation()
|
||||
closeTab(tab.id)
|
||||
}
|
||||
}}>
|
||||
<Tab key={tab.id} active={tab.id === activeTabId} onClick={() => handleTabClick(tab)}>
|
||||
<TabHeader>
|
||||
{tab.id && <TabIcon>{getTabIcon(tab.id, minapps, minAppsCache)}</TabIcon>}
|
||||
<TabTitle>{getTabTitle(tab.id)}</TabTitle>
|
||||
|
||||
@@ -1,101 +0,0 @@
|
||||
import { Button, Modal, ModalBody, ModalContent, ModalFooter, ModalHeader, ScrollShadow } from '@heroui/react'
|
||||
import { loggerService } from '@logger'
|
||||
import { handleSaveData } from '@renderer/store'
|
||||
import { ReleaseNoteInfo, UpdateInfo } from 'builder-util-runtime'
|
||||
import React, { useEffect, useState } from 'react'
|
||||
import { useTranslation } from 'react-i18next'
|
||||
import Markdown from 'react-markdown'
|
||||
|
||||
const logger = loggerService.withContext('UpdateDialog')
|
||||
|
||||
interface UpdateDialogProps {
|
||||
isOpen: boolean
|
||||
onClose: () => void
|
||||
releaseInfo: UpdateInfo | null
|
||||
}
|
||||
|
||||
const UpdateDialog: React.FC<UpdateDialogProps> = ({ isOpen, onClose, releaseInfo }) => {
|
||||
const { t } = useTranslation()
|
||||
const [isInstalling, setIsInstalling] = useState(false)
|
||||
|
||||
useEffect(() => {
|
||||
if (isOpen && releaseInfo) {
|
||||
logger.info('Update dialog opened', { version: releaseInfo.version })
|
||||
}
|
||||
}, [isOpen, releaseInfo])
|
||||
|
||||
const handleInstall = async () => {
|
||||
setIsInstalling(true)
|
||||
try {
|
||||
await handleSaveData()
|
||||
await window.api.quitAndInstall()
|
||||
} catch (error) {
|
||||
logger.error('Failed to save data before update', error as Error)
|
||||
setIsInstalling(false)
|
||||
window.toast.error(t('update.saveDataError'))
|
||||
}
|
||||
}
|
||||
|
||||
const releaseNotes = releaseInfo?.releaseNotes
|
||||
|
||||
return (
|
||||
<Modal
|
||||
isOpen={isOpen}
|
||||
onClose={onClose}
|
||||
size="2xl"
|
||||
scrollBehavior="inside"
|
||||
classNames={{
|
||||
base: 'max-h-[85vh]',
|
||||
header: 'border-b border-divider',
|
||||
footer: 'border-t border-divider'
|
||||
}}>
|
||||
<ModalContent>
|
||||
{(onModalClose) => (
|
||||
<>
|
||||
<ModalHeader className="flex flex-col gap-1">
|
||||
<h3 className="font-semibold text-lg">{t('update.title')}</h3>
|
||||
<p className="text-default-500 text-small">
|
||||
{t('update.message').replace('{{version}}', releaseInfo?.version || '')}
|
||||
</p>
|
||||
</ModalHeader>
|
||||
|
||||
<ModalBody>
|
||||
<ScrollShadow className="max-h-[450px]" hideScrollBar>
|
||||
<div className="markdown rounded-lg bg-default-50 p-4">
|
||||
<Markdown>
|
||||
{typeof releaseNotes === 'string'
|
||||
? releaseNotes
|
||||
: Array.isArray(releaseNotes)
|
||||
? releaseNotes
|
||||
.map((note: ReleaseNoteInfo) => note.note)
|
||||
.filter(Boolean)
|
||||
.join('\n\n')
|
||||
: t('update.noReleaseNotes')}
|
||||
</Markdown>
|
||||
</div>
|
||||
</ScrollShadow>
|
||||
</ModalBody>
|
||||
|
||||
<ModalFooter>
|
||||
<Button variant="light" onPress={onModalClose} isDisabled={isInstalling}>
|
||||
{t('update.later')}
|
||||
</Button>
|
||||
|
||||
<Button
|
||||
color="primary"
|
||||
onPress={async () => {
|
||||
await handleInstall()
|
||||
onModalClose()
|
||||
}}
|
||||
isLoading={isInstalling}>
|
||||
{t('update.install')}
|
||||
</Button>
|
||||
</ModalFooter>
|
||||
</>
|
||||
)}
|
||||
</ModalContent>
|
||||
</Modal>
|
||||
)
|
||||
}
|
||||
|
||||
export default UpdateDialog
|
||||
@@ -39,7 +39,6 @@ import PoeAppLogo from '@renderer/assets/images/apps/poe.webp?url'
|
||||
import QwenlmAppLogo from '@renderer/assets/images/apps/qwenlm.webp?url'
|
||||
import SensetimeAppLogo from '@renderer/assets/images/apps/sensetime.png?url'
|
||||
import SparkDeskAppLogo from '@renderer/assets/images/apps/sparkdesk.webp?url'
|
||||
import StepfunAppLogo from '@renderer/assets/images/apps/stepfun.png?url'
|
||||
import ThinkAnyLogo from '@renderer/assets/images/apps/thinkany.webp?url'
|
||||
import TiangongAiLogo from '@renderer/assets/images/apps/tiangong.png?url'
|
||||
import WanZhiAppLogo from '@renderer/assets/images/apps/wanzhi.jpg?url'
|
||||
@@ -47,6 +46,7 @@ import WPSLingXiLogo from '@renderer/assets/images/apps/wpslingxi.webp?url'
|
||||
import XiaoYiAppLogo from '@renderer/assets/images/apps/xiaoyi.webp?url'
|
||||
import YouLogo from '@renderer/assets/images/apps/you.jpg?url'
|
||||
import TencentYuanbaoAppLogo from '@renderer/assets/images/apps/yuanbao.webp?url'
|
||||
import YuewenAppLogo from '@renderer/assets/images/apps/yuewen.png?url'
|
||||
import ZaiAppLogo from '@renderer/assets/images/apps/zai.png?url'
|
||||
import ZhihuAppLogo from '@renderer/assets/images/apps/zhihu.png?url'
|
||||
import ClaudeAppLogo from '@renderer/assets/images/models/claude.png?url'
|
||||
@@ -145,14 +145,14 @@ const ORIGIN_DEFAULT_MIN_APPS: MinAppType[] = [
|
||||
{
|
||||
id: 'dashscope',
|
||||
name: i18n.t('minapps.qwen'),
|
||||
url: 'https://www.tongyi.com/',
|
||||
url: 'https://tongyi.aliyun.com/qianwen/',
|
||||
logo: QwenModelLogo
|
||||
},
|
||||
{
|
||||
id: 'stepfun',
|
||||
name: i18n.t('minapps.stepfun'),
|
||||
url: 'https://stepfun.com',
|
||||
logo: StepfunAppLogo,
|
||||
name: i18n.t('minapps.yuewen'),
|
||||
url: 'https://yuewen.cn/chats/new',
|
||||
logo: YuewenAppLogo,
|
||||
bodered: true
|
||||
},
|
||||
{
|
||||
|
||||
@@ -25,7 +25,7 @@ export const SYSTEM_MODELS: Record<SystemProviderId | 'defaultModel', Model[]> =
|
||||
// Default quick assistant model
|
||||
glm45FlashModel
|
||||
],
|
||||
cherryin: [],
|
||||
// cherryin: [],
|
||||
vertexai: [],
|
||||
'302ai': [
|
||||
{
|
||||
@@ -260,7 +260,6 @@ export const SYSTEM_MODELS: Record<SystemProviderId | 'defaultModel', Model[]> =
|
||||
{ id: 'deepseek-r1', name: 'DeepSeek-R1', provider: 'burncloud', group: 'deepseek-ai' },
|
||||
{ id: 'deepseek-v3', name: 'DeepSeek-V3', provider: 'burncloud', group: 'deepseek-ai' }
|
||||
],
|
||||
ovms: [],
|
||||
ollama: [],
|
||||
lmstudio: [],
|
||||
silicon: [
|
||||
@@ -430,12 +429,6 @@ export const SYSTEM_MODELS: Record<SystemProviderId | 'defaultModel', Model[]> =
|
||||
}
|
||||
],
|
||||
anthropic: [
|
||||
{
|
||||
id: 'claude-sonnet-4-5-20250929',
|
||||
provider: 'anthropic',
|
||||
name: 'Claude Sonnet 4.5',
|
||||
group: 'Claude 4.5'
|
||||
},
|
||||
{
|
||||
id: 'claude-sonnet-4-20250514',
|
||||
provider: 'anthropic',
|
||||
@@ -704,12 +697,6 @@ export const SYSTEM_MODELS: Record<SystemProviderId | 'defaultModel', Model[]> =
|
||||
name: 'GLM-4.5-Flash',
|
||||
group: 'GLM-4.5'
|
||||
},
|
||||
{
|
||||
id: 'glm-4.6',
|
||||
provider: 'zhipu',
|
||||
name: 'GLM-4.6',
|
||||
group: 'GLM-4.6'
|
||||
},
|
||||
{
|
||||
id: 'glm-4.5',
|
||||
provider: 'zhipu',
|
||||
@@ -1817,19 +1804,5 @@ export const SYSTEM_MODELS: Record<SystemProviderId | 'defaultModel', Model[]> =
|
||||
provider: 'aionly',
|
||||
group: 'gemini'
|
||||
}
|
||||
],
|
||||
longcat: [
|
||||
{
|
||||
id: 'LongCat-Flash-Chat',
|
||||
name: 'LongCat Flash Chat',
|
||||
provider: 'longcat',
|
||||
group: 'LongCat'
|
||||
},
|
||||
{
|
||||
id: 'LongCat-Flash-Thinking',
|
||||
name: 'LongCat Flash Thinking',
|
||||
provider: 'longcat',
|
||||
group: 'LongCat'
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
@@ -61,7 +61,6 @@ import ChatGPTImageModelLogo from '@renderer/assets/images/models/gpt_image_1.pn
|
||||
import ChatGPTo1ModelLogo from '@renderer/assets/images/models/gpt_o1.png'
|
||||
import GPT5ModelLogo from '@renderer/assets/images/models/gpt-5.png'
|
||||
import GPT5ChatModelLogo from '@renderer/assets/images/models/gpt-5-chat.png'
|
||||
import GPT5CodexModelLogo from '@renderer/assets/images/models/gpt-5-codex.png'
|
||||
import GPT5MiniModelLogo from '@renderer/assets/images/models/gpt-5-mini.png'
|
||||
import GPT5NanoModelLogo from '@renderer/assets/images/models/gpt-5-nano.png'
|
||||
import GrokModelLogo from '@renderer/assets/images/models/grok.png'
|
||||
@@ -163,7 +162,6 @@ export function getModelLogo(modelId: string) {
|
||||
return undefined
|
||||
}
|
||||
|
||||
// key is regex
|
||||
const logoMap = {
|
||||
pixtral: isLight ? PixtralModelLogo : PixtralModelLogoDark,
|
||||
jina: isLight ? JinaModelLogo : JinaModelLogoDark,
|
||||
@@ -179,7 +177,6 @@ export function getModelLogo(modelId: string) {
|
||||
'gpt-5-mini': GPT5MiniModelLogo,
|
||||
'gpt-5-nano': GPT5NanoModelLogo,
|
||||
'gpt-5-chat': GPT5ChatModelLogo,
|
||||
'gpt-5-codex': GPT5CodexModelLogo,
|
||||
'gpt-5': GPT5ModelLogo,
|
||||
gpts: isLight ? ChatGPT4ModelLogo : ChatGPT4ModelLogoDark,
|
||||
'gpt-oss(?:-[\\w-]+)': isLight ? ChatGptModelLogo : ChatGptModelLogoDark,
|
||||
@@ -289,7 +286,7 @@ export function getModelLogo(modelId: string) {
|
||||
longcat: LongCatAppLogo,
|
||||
bytedance: BytedanceModelLogo,
|
||||
'(V_1|V_1_TURBO|V_2|V_2A|V_2_TURBO|DESCRIBE|UPSCALE)': IdeogramModelLogo
|
||||
} as const
|
||||
}
|
||||
|
||||
for (const key in logoMap) {
|
||||
const regex = new RegExp(key, 'i')
|
||||
|
||||
@@ -22,7 +22,6 @@ export const MODEL_SUPPORTED_REASONING_EFFORT: ReasoningEffortConfig = {
|
||||
default: ['low', 'medium', 'high'] as const,
|
||||
o: ['low', 'medium', 'high'] as const,
|
||||
gpt5: ['minimal', 'low', 'medium', 'high'] as const,
|
||||
gpt5_codex: ['low', 'medium', 'high'] as const,
|
||||
grok: ['low', 'high'] as const,
|
||||
gemini: ['low', 'medium', 'high', 'auto'] as const,
|
||||
gemini_pro: ['low', 'medium', 'high', 'auto'] as const,
|
||||
@@ -41,7 +40,6 @@ export const MODEL_SUPPORTED_OPTIONS: ThinkingOptionConfig = {
|
||||
default: ['off', ...MODEL_SUPPORTED_REASONING_EFFORT.default] as const,
|
||||
o: MODEL_SUPPORTED_REASONING_EFFORT.o,
|
||||
gpt5: [...MODEL_SUPPORTED_REASONING_EFFORT.gpt5] as const,
|
||||
gpt5_codex: MODEL_SUPPORTED_REASONING_EFFORT.gpt5_codex,
|
||||
grok: MODEL_SUPPORTED_REASONING_EFFORT.grok,
|
||||
gemini: ['off', ...MODEL_SUPPORTED_REASONING_EFFORT.gemini] as const,
|
||||
gemini_pro: MODEL_SUPPORTED_REASONING_EFFORT.gemini_pro,
|
||||
@@ -57,13 +55,8 @@ export const MODEL_SUPPORTED_OPTIONS: ThinkingOptionConfig = {
|
||||
|
||||
export const getThinkModelType = (model: Model): ThinkingModelType => {
|
||||
let thinkingModelType: ThinkingModelType = 'default'
|
||||
const modelId = getLowerBaseModelName(model.id)
|
||||
if (isGPT5SeriesModel(model)) {
|
||||
if (modelId.includes('codex')) {
|
||||
thinkingModelType = 'gpt5_codex'
|
||||
} else {
|
||||
thinkingModelType = 'gpt5'
|
||||
}
|
||||
thinkingModelType = 'gpt5'
|
||||
} else if (isSupportedReasoningEffortOpenAIModel(model)) {
|
||||
thinkingModelType = 'o'
|
||||
} else if (isSupportedThinkingTokenGeminiModel(model)) {
|
||||
@@ -178,13 +171,9 @@ export function isGeminiReasoningModel(model?: Model): boolean {
|
||||
return false
|
||||
}
|
||||
|
||||
// Gemini 支持思考模式的模型正则
|
||||
export const GEMINI_THINKING_MODEL_REGEX =
|
||||
/gemini-(?:2\.5.*(?:-latest)?|flash-latest|pro-latest|flash-lite-latest)(?:-[\w-]+)*$/i
|
||||
|
||||
export const isSupportedThinkingTokenGeminiModel = (model: Model): boolean => {
|
||||
const modelId = getLowerBaseModelName(model.id, '/')
|
||||
if (GEMINI_THINKING_MODEL_REGEX.test(modelId)) {
|
||||
if (modelId.includes('gemini-2.5')) {
|
||||
if (modelId.includes('image') || modelId.includes('tts')) {
|
||||
return false
|
||||
}
|
||||
@@ -339,20 +328,14 @@ export const isSupportedReasoningEffortPerplexityModel = (model: Model): boolean
|
||||
|
||||
export const isSupportedThinkingTokenZhipuModel = (model: Model): boolean => {
|
||||
const modelId = getLowerBaseModelName(model.id, '/')
|
||||
return ['glm-4.5', 'glm-4.6'].some((id) => modelId.includes(id))
|
||||
return modelId.includes('glm-4.5')
|
||||
}
|
||||
|
||||
export const isDeepSeekHybridInferenceModel = (model: Model) => {
|
||||
const modelId = getLowerBaseModelName(model.id)
|
||||
// deepseek官方使用chat和reasoner做推理控制,其他provider需要单独判断,id可能会有所差别
|
||||
// openrouter: deepseek/deepseek-chat-v3.1 不知道会不会有其他provider仿照ds官方分出一个同id的作为非思考模式的模型,这里有风险
|
||||
// Matches: "deepseek-v3" followed by ".digit" or "-digit".
|
||||
// Optionally, this can be followed by ".alphanumeric_sequence" or "-alphanumeric_sequence"
|
||||
// until the end of the string.
|
||||
// Examples: deepseek-v3.1, deepseek-v3-1, deepseek-v3.1.2, deepseek-v3.1-alpha
|
||||
// Does NOT match: deepseek-v3.123 (missing separator after '1'), deepseek-v3.x (x isn't a digit)
|
||||
// TODO: move to utils and add test cases
|
||||
return /deepseek-v3(?:\.\d|-\d)(?:(\.|-)\w+)?$/.test(modelId) || modelId.includes('deepseek-chat-v3.1')
|
||||
return /deepseek-v3(?:\.1|-1-\d+)?/.test(modelId) || modelId.includes('deepseek-chat-v3.1')
|
||||
}
|
||||
|
||||
export const isSupportedThinkingTokenDeepSeekModel = isDeepSeekHybridInferenceModel
|
||||
|
||||
@@ -12,7 +12,6 @@ const visionAllowedModels = [
|
||||
'gemini-1\\.5',
|
||||
'gemini-2\\.0',
|
||||
'gemini-2\\.5',
|
||||
'gemini-(flash|pro|flash-lite)-latest',
|
||||
'gemini-exp',
|
||||
'claude-3',
|
||||
'claude-sonnet-4',
|
||||
@@ -22,9 +21,7 @@ const visionAllowedModels = [
|
||||
'qwen-vl',
|
||||
'qwen2-vl',
|
||||
'qwen2.5-vl',
|
||||
'qwen3-vl',
|
||||
'qwen2.5-omni',
|
||||
'qwen3-omni',
|
||||
'qvq',
|
||||
'internvl2',
|
||||
'grok-vision-beta',
|
||||
|
||||
@@ -11,12 +11,9 @@ export const CLAUDE_SUPPORTED_WEBSEARCH_REGEX = new RegExp(
|
||||
'i'
|
||||
)
|
||||
|
||||
export const GEMINI_FLASH_MODEL_REGEX = new RegExp('gemini.*-flash.*$')
|
||||
export const GEMINI_FLASH_MODEL_REGEX = new RegExp('gemini-.*-flash.*$')
|
||||
|
||||
export const GEMINI_SEARCH_REGEX = new RegExp(
|
||||
'gemini-(?:2.*(?:-latest)?|flash-latest|pro-latest|flash-lite-latest)(?:-[\\w-]+)*$',
|
||||
'i'
|
||||
)
|
||||
export const GEMINI_SEARCH_REGEX = new RegExp('gemini-2\\..*', 'i')
|
||||
|
||||
export const PERPLEXITY_SEARCH_MODELS = [
|
||||
'sonar-pro',
|
||||
|
||||
@@ -24,11 +24,9 @@ import GrokProviderLogo from '@renderer/assets/images/providers/grok.png'
|
||||
import GroqProviderLogo from '@renderer/assets/images/providers/groq.png'
|
||||
import HyperbolicProviderLogo from '@renderer/assets/images/providers/hyperbolic.png'
|
||||
import InfiniProviderLogo from '@renderer/assets/images/providers/infini.png'
|
||||
import IntelOvmsLogo from '@renderer/assets/images/providers/intel.png'
|
||||
import JinaProviderLogo from '@renderer/assets/images/providers/jina.png'
|
||||
import LanyunProviderLogo from '@renderer/assets/images/providers/lanyun.png'
|
||||
import LMStudioProviderLogo from '@renderer/assets/images/providers/lmstudio.png'
|
||||
import LongCatProviderLogo from '@renderer/assets/images/providers/longcat.png'
|
||||
import MinimaxProviderLogo from '@renderer/assets/images/providers/minimax.png'
|
||||
import MistralProviderLogo from '@renderer/assets/images/providers/mistral.png'
|
||||
import ModelScopeProviderLogo from '@renderer/assets/images/providers/modelscope.png'
|
||||
@@ -80,16 +78,16 @@ export const CHERRYAI_PROVIDER: SystemProvider = {
|
||||
}
|
||||
|
||||
export const SYSTEM_PROVIDERS_CONFIG: Record<SystemProviderId, SystemProvider> = {
|
||||
cherryin: {
|
||||
id: 'cherryin',
|
||||
name: 'CherryIN',
|
||||
type: 'openai',
|
||||
apiKey: '',
|
||||
apiHost: 'https://open.cherryin.net',
|
||||
models: [],
|
||||
isSystem: true,
|
||||
enabled: true
|
||||
},
|
||||
// cherryin: {
|
||||
// id: 'cherryin',
|
||||
// name: 'CherryIN',
|
||||
// type: 'openai',
|
||||
// apiKey: '',
|
||||
// apiHost: 'https://open.cherryin.ai',
|
||||
// models: [],
|
||||
// isSystem: true,
|
||||
// enabled: true
|
||||
// },
|
||||
silicon: {
|
||||
id: 'silicon',
|
||||
name: 'Silicon',
|
||||
@@ -110,16 +108,6 @@ export const SYSTEM_PROVIDERS_CONFIG: Record<SystemProviderId, SystemProvider> =
|
||||
isSystem: true,
|
||||
enabled: false
|
||||
},
|
||||
ovms: {
|
||||
id: 'ovms',
|
||||
name: 'OpenVINO Model Server',
|
||||
type: 'openai',
|
||||
apiKey: '',
|
||||
apiHost: 'http://localhost:8000/v3/',
|
||||
models: SYSTEM_MODELS.ovms,
|
||||
isSystem: true,
|
||||
enabled: false
|
||||
},
|
||||
ocoolai: {
|
||||
id: 'ocoolai',
|
||||
name: 'ocoolAI',
|
||||
@@ -634,16 +622,6 @@ export const SYSTEM_PROVIDERS_CONFIG: Record<SystemProviderId, SystemProvider> =
|
||||
models: SYSTEM_MODELS['poe'],
|
||||
isSystem: true,
|
||||
enabled: false
|
||||
},
|
||||
longcat: {
|
||||
id: 'longcat',
|
||||
name: 'LongCat',
|
||||
type: 'openai',
|
||||
apiKey: '',
|
||||
apiHost: 'https://api.longcat.chat/openai',
|
||||
models: SYSTEM_MODELS.longcat,
|
||||
isSystem: true,
|
||||
enabled: false
|
||||
}
|
||||
} as const
|
||||
|
||||
@@ -660,7 +638,6 @@ export const PROVIDER_LOGO_MAP: AtLeast<SystemProviderId, string> = {
|
||||
yi: ZeroOneProviderLogo,
|
||||
groq: GroqProviderLogo,
|
||||
zhipu: ZhipuProviderLogo,
|
||||
ovms: IntelOvmsLogo,
|
||||
ollama: OllamaProviderLogo,
|
||||
lmstudio: LMStudioProviderLogo,
|
||||
moonshot: MoonshotProviderLogo,
|
||||
@@ -707,8 +684,7 @@ export const PROVIDER_LOGO_MAP: AtLeast<SystemProviderId, string> = {
|
||||
'new-api': NewAPIProviderLogo,
|
||||
'aws-bedrock': AwsProviderLogo,
|
||||
poe: 'poe', // use svg icon component
|
||||
aionly: AiOnlyProviderLogo,
|
||||
longcat: LongCatProviderLogo
|
||||
aionly: AiOnlyProviderLogo
|
||||
} as const
|
||||
|
||||
export function getProviderLogo(providerId: string) {
|
||||
@@ -732,17 +708,17 @@ type ProviderUrls = {
|
||||
}
|
||||
|
||||
export const PROVIDER_URLS: Record<SystemProviderId, ProviderUrls> = {
|
||||
cherryin: {
|
||||
api: {
|
||||
url: 'https://open.cherryin.net'
|
||||
},
|
||||
websites: {
|
||||
official: 'https://open.cherryin.ai',
|
||||
apiKey: 'https://open.cherryin.ai/console/token',
|
||||
docs: 'https://open.cherryin.ai',
|
||||
models: 'https://open.cherryin.ai/pricing'
|
||||
}
|
||||
},
|
||||
// cherryin: {
|
||||
// api: {
|
||||
// url: 'https://open.cherryin.ai'
|
||||
// },
|
||||
// websites: {
|
||||
// official: 'https://open.cherryin.ai',
|
||||
// apiKey: 'https://open.cherryin.ai/console/token',
|
||||
// docs: 'https://open.cherryin.ai',
|
||||
// models: 'https://open.cherryin.ai/pricing'
|
||||
// }
|
||||
// },
|
||||
ph8: {
|
||||
api: {
|
||||
url: 'https://ph8.co'
|
||||
@@ -1046,16 +1022,6 @@ export const PROVIDER_URLS: Record<SystemProviderId, ProviderUrls> = {
|
||||
models: 'https://console.groq.com/docs/models'
|
||||
}
|
||||
},
|
||||
ovms: {
|
||||
api: {
|
||||
url: 'http://localhost:8000/v3/'
|
||||
},
|
||||
websites: {
|
||||
official: 'https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/overview.html',
|
||||
docs: 'https://docs.openvino.ai/2025/model-server/ovms_what_is_openvino_model_server.html',
|
||||
models: 'https://www.modelscope.cn/organization/OpenVINO'
|
||||
}
|
||||
},
|
||||
ollama: {
|
||||
api: {
|
||||
url: 'http://localhost:11434'
|
||||
@@ -1324,17 +1290,6 @@ export const PROVIDER_URLS: Record<SystemProviderId, ProviderUrls> = {
|
||||
docs: 'https://www.aiionly.com/document',
|
||||
models: 'https://www.aiionly.com'
|
||||
}
|
||||
},
|
||||
longcat: {
|
||||
api: {
|
||||
url: 'https://api.longcat.chat/openai'
|
||||
},
|
||||
websites: {
|
||||
official: 'https://longcat.chat',
|
||||
apiKey: 'https://longcat.chat/platform/api_keys',
|
||||
docs: 'https://longcat.chat/platform/docs/zh/',
|
||||
models: 'https://longcat.chat/platform/docs/zh/APIDocs.html'
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -7,6 +7,7 @@ import {
|
||||
} from '@renderer/types'
|
||||
// Import necessary types for blocks and new message structure
|
||||
import type { Message as NewMessage, MessageBlock } from '@renderer/types/newMessage'
|
||||
import { NotesTreeNode } from '@renderer/types/note'
|
||||
import { Dexie, type EntityTable } from 'dexie'
|
||||
|
||||
import { upgradeToV5, upgradeToV7, upgradeToV8 } from './upgrades'
|
||||
@@ -23,6 +24,7 @@ export const db = new Dexie('CherryStudio', {
|
||||
quick_phrases: EntityTable<QuickPhrase, 'id'>
|
||||
message_blocks: EntityTable<MessageBlock, 'id'> // Correct type for message_blocks
|
||||
translate_languages: EntityTable<CustomTranslateLanguage, 'id'>
|
||||
notes_tree: EntityTable<{ id: string; tree: NotesTreeNode[] }, 'id'>
|
||||
}
|
||||
|
||||
db.version(1).stores({
|
||||
@@ -116,7 +118,8 @@ db.version(10).stores({
|
||||
translate_history: '&id, sourceText, targetText, sourceLanguage, targetLanguage, createdAt',
|
||||
translate_languages: '&id, langCode',
|
||||
quick_phrases: 'id',
|
||||
message_blocks: 'id, messageId, file.id'
|
||||
message_blocks: 'id, messageId, file.id',
|
||||
notes_tree: '&id'
|
||||
})
|
||||
|
||||
export default db
|
||||
|
||||
@@ -108,11 +108,7 @@ export const useCodeTools = () => {
|
||||
const environmentVariables = codeToolsState?.environmentVariables?.[codeToolsState.selectedCliTool] || ''
|
||||
|
||||
// 检查是否可以启动(所有必需字段都已填写)
|
||||
const canLaunch = Boolean(
|
||||
codeToolsState.selectedCliTool &&
|
||||
codeToolsState.currentDirectory &&
|
||||
(codeToolsState.selectedCliTool === codeTools.githubCopilotCli || selectedModel)
|
||||
)
|
||||
const canLaunch = Boolean(codeToolsState.selectedCliTool && selectedModel && codeToolsState.currentDirectory)
|
||||
|
||||
return {
|
||||
// 状态
|
||||
|
||||
@@ -360,7 +360,7 @@ export const useKnowledgeBases = () => {
|
||||
const deleteKnowledgeBase = (baseId: string) => {
|
||||
const base = bases.find((b) => b.id === baseId)
|
||||
if (!base) return
|
||||
dispatch(deleteBase({ baseId }))
|
||||
dispatch(deleteBase({ baseId, baseParams: getKnowledgeBaseParams(base) }))
|
||||
|
||||
// remove assistant knowledge_base
|
||||
const _assistants = assistants.map((assistant) => {
|
||||
|
||||
@@ -48,17 +48,6 @@ export function useActiveTopic(assistantId: string, topic?: Topic) {
|
||||
}
|
||||
}, [activeTopic?.id, assistant])
|
||||
|
||||
useEffect(() => {
|
||||
if (!assistant?.topics?.length || !activeTopic) {
|
||||
return
|
||||
}
|
||||
|
||||
const latestTopic = assistant.topics.find((item) => item.id === activeTopic.id)
|
||||
if (latestTopic && latestTopic !== activeTopic) {
|
||||
setActiveTopic(latestTopic)
|
||||
}
|
||||
}, [assistant?.topics, activeTopic])
|
||||
|
||||
return { activeTopic, setActiveTopic }
|
||||
}
|
||||
|
||||
|
||||
@@ -61,7 +61,6 @@ const providerKeyMap = {
|
||||
nvidia: 'provider.nvidia',
|
||||
o3: 'provider.o3',
|
||||
ocoolai: 'provider.ocoolai',
|
||||
ovms: 'provider.ovms',
|
||||
ollama: 'provider.ollama',
|
||||
openai: 'provider.openai',
|
||||
openrouter: 'provider.openrouter',
|
||||
|
||||
@@ -251,7 +251,6 @@
|
||||
"added": "Added",
|
||||
"case_sensitive": "Case Sensitive",
|
||||
"collapse": "Collapse",
|
||||
"download": "Download",
|
||||
"includes_user_questions": "Include Your Questions",
|
||||
"manage": "Manage",
|
||||
"select_model": "Select Model",
|
||||
@@ -1583,13 +1582,13 @@
|
||||
"nami-ai-search": "Nami AI Search",
|
||||
"qwen": "Qwen",
|
||||
"sensechat": "SenseChat",
|
||||
"stepfun": "Stepfun",
|
||||
"tencent-yuanbao": "Yuanbao",
|
||||
"tiangong-ai": "Skywork",
|
||||
"wanzhi": "Wanzhi",
|
||||
"wenxin": "ERNIE",
|
||||
"wps-copilot": "WPS Copilot",
|
||||
"xiaoyi": "Xiaoyi",
|
||||
"yuewen": "Yuewen",
|
||||
"zhihu": "Zhihu"
|
||||
},
|
||||
"miniwindow": {
|
||||
@@ -1697,12 +1696,6 @@
|
||||
"provider_settings": "Go to provider settings"
|
||||
},
|
||||
"notes": {
|
||||
"auto_rename": {
|
||||
"empty_note": "Note is empty, cannot generate name",
|
||||
"failed": "Failed to generate note name",
|
||||
"label": "Generate Note Name",
|
||||
"success": "Note name generated successfully"
|
||||
},
|
||||
"characters": "Characters",
|
||||
"collapse": "Collapse",
|
||||
"content_placeholder": "Please enter the note content...",
|
||||
@@ -1784,8 +1777,6 @@
|
||||
"sort_updated_asc": "Update time (oldest first)",
|
||||
"sort_updated_desc": "Update time (newest first)",
|
||||
"sort_z2a": "File name (Z-A)",
|
||||
"spell_check": "Spell Check",
|
||||
"spell_check_tooltip": "Enable/Disable spell check",
|
||||
"star": "Favorite note",
|
||||
"starred_notes": "Collected notes",
|
||||
"title": "Notes",
|
||||
@@ -1835,57 +1826,6 @@
|
||||
},
|
||||
"title": "Ollama"
|
||||
},
|
||||
"ovms": {
|
||||
"action": {
|
||||
"install": "Install",
|
||||
"installing": "Installing",
|
||||
"reinstall": "Re-Install",
|
||||
"run": "Run OVMS",
|
||||
"starting": "Starting",
|
||||
"stop": "Stop OVMS",
|
||||
"stopping": "Stopping"
|
||||
},
|
||||
"description": "<div><p>1. Download OV Models.</p><p>2. Add Models in 'Manager'.</p><p>Support Windows Only!</p><p>OVMS Install Path: '%USERPROFILE%\\.cherrystudio\\ovms' .</p><p>Please refer to <a href=https://github.com/openvinotoolkit/model_server/blob/c55551763d02825829337b62c2dcef9339706f79/docs/deploying_server_baremetal.md>Intel OVMS Guide</a></p></dev>",
|
||||
"download": {
|
||||
"button": "Download",
|
||||
"error": "Download Error",
|
||||
"model_id": {
|
||||
"label": "Model ID:",
|
||||
"model_id_pattern": "Model ID must start with OpenVINO/",
|
||||
"placeholder": "Required e.g. OpenVINO/Qwen3-8B-int4-ov",
|
||||
"required": "Please enter the model ID"
|
||||
},
|
||||
"model_name": {
|
||||
"label": "Model Name:",
|
||||
"placeholder": "Required e.g. Qwen3-8B-int4-ov",
|
||||
"required": "Please enter the model name"
|
||||
},
|
||||
"model_source": "Model Source:",
|
||||
"model_task": "Model Task:",
|
||||
"success": "Download successful",
|
||||
"success_desc": "Model \"{{modelName}}\"-\"{{modelId}}\" downloaded successfully, please go to the OVMS management interface to add the model",
|
||||
"tip": "The model is downloading, sometimes it takes hours. Please be patient...",
|
||||
"title": "Download Intel OpenVINO Model"
|
||||
},
|
||||
"failed": {
|
||||
"install": "Install OVMS failed:",
|
||||
"install_code_100": "Unknown Error",
|
||||
"install_code_101": "Only supports Intel(R) Core(TM) Ultra CPU",
|
||||
"install_code_102": "Only supports Windows",
|
||||
"install_code_103": "Download OVMS runtime failed",
|
||||
"install_code_104": "Uncompress OVMS runtime failed",
|
||||
"install_code_105": "Clean OVMS runtime failed",
|
||||
"run": "Run OVMS failed:",
|
||||
"stop": "Stop OVMS failed:"
|
||||
},
|
||||
"status": {
|
||||
"not_installed": "OVMS is not installed",
|
||||
"not_running": "OVMS is not running",
|
||||
"running": "OVMS is running",
|
||||
"unknown": "OVMS status unknown"
|
||||
},
|
||||
"title": "Intel OVMS"
|
||||
},
|
||||
"paintings": {
|
||||
"aspect_ratio": "Aspect Ratio",
|
||||
"aspect_ratios": {
|
||||
@@ -2117,7 +2057,6 @@
|
||||
"ollama": "Ollama",
|
||||
"openai": "OpenAI",
|
||||
"openrouter": "OpenRouter",
|
||||
"ovms": "Intel OVMS",
|
||||
"perplexity": "Perplexity",
|
||||
"ph8": "PH8",
|
||||
"poe": "Poe",
|
||||
@@ -4412,7 +4351,6 @@
|
||||
"later": "Later",
|
||||
"message": "New version {{version}} is ready, do you want to install it now?",
|
||||
"noReleaseNotes": "No release notes",
|
||||
"saveDataError": "Failed to save data, please try again.",
|
||||
"title": "Update"
|
||||
},
|
||||
"warning": {
|
||||
|
||||
@@ -251,7 +251,6 @@
|
||||
"added": "已添加",
|
||||
"case_sensitive": "区分大小写",
|
||||
"collapse": "收起",
|
||||
"download": "下载",
|
||||
"includes_user_questions": "包含用户提问",
|
||||
"manage": "管理",
|
||||
"select_model": "选择模型",
|
||||
@@ -1583,13 +1582,13 @@
|
||||
"nami-ai-search": "纳米AI搜索",
|
||||
"qwen": "通义千问",
|
||||
"sensechat": "商量",
|
||||
"stepfun": "阶跃AI",
|
||||
"tencent-yuanbao": "腾讯元宝",
|
||||
"tiangong-ai": "天工AI",
|
||||
"wanzhi": "万知",
|
||||
"wenxin": "文心一言",
|
||||
"wps-copilot": "WPS灵犀",
|
||||
"xiaoyi": "小艺",
|
||||
"yuewen": "跃问",
|
||||
"zhihu": "知乎直答"
|
||||
},
|
||||
"miniwindow": {
|
||||
@@ -1697,12 +1696,6 @@
|
||||
"provider_settings": "跳转到服务商设置界面"
|
||||
},
|
||||
"notes": {
|
||||
"auto_rename": {
|
||||
"empty_note": "笔记为空,无法生成名称",
|
||||
"failed": "生成笔记名称失败",
|
||||
"label": "生成笔记名称",
|
||||
"success": "笔记名称生成成功"
|
||||
},
|
||||
"characters": "字符",
|
||||
"collapse": "收起",
|
||||
"content_placeholder": "请输入笔记内容...",
|
||||
@@ -1784,8 +1777,6 @@
|
||||
"sort_updated_asc": "更新时间(从旧到新)",
|
||||
"sort_updated_desc": "更新时间(从新到旧)",
|
||||
"sort_z2a": "文件名(Z-A)",
|
||||
"spell_check": "拼写检查",
|
||||
"spell_check_tooltip": "启用/禁用拼写检查",
|
||||
"star": "收藏笔记",
|
||||
"starred_notes": "收藏的笔记",
|
||||
"title": "笔记",
|
||||
@@ -1835,57 +1826,6 @@
|
||||
},
|
||||
"title": "Ollama"
|
||||
},
|
||||
"ovms": {
|
||||
"action": {
|
||||
"install": "安装",
|
||||
"installing": "正在安装",
|
||||
"reinstall": "重装",
|
||||
"run": "运行 OVMS",
|
||||
"starting": "启动中",
|
||||
"stop": "停止 OVMS",
|
||||
"stopping": "停止中"
|
||||
},
|
||||
"description": "<div><p>1. 下载 OV 模型.</p><p>2. 在 'Manager' 中添加模型.</p><p>仅支持 Windows!</p><p>OVMS 安装路径: '%USERPROFILE%\\.cherrystudio\\ovms' .</p><p>请参考 <a href=https://github.com/openvinotoolkit/model_server/blob/c55551763d02825829337b62c2dcef9339706f79/docs/deploying_server_baremetal.md>Intel OVMS 指南</a></p></dev>",
|
||||
"download": {
|
||||
"button": "下载",
|
||||
"error": "选择失败",
|
||||
"model_id": {
|
||||
"label": "模型 ID",
|
||||
"model_id_pattern": "模型 ID 必须以 OpenVINO/ 开头",
|
||||
"placeholder": "必填,例如 OpenVINO/Qwen3-8B-int4-ov",
|
||||
"required": "请输入模型 ID"
|
||||
},
|
||||
"model_name": {
|
||||
"label": "模型名称",
|
||||
"placeholder": "必填,例如 Qwen3-8B-int4-ov",
|
||||
"required": "请输入模型名称"
|
||||
},
|
||||
"model_source": "模型来源:",
|
||||
"model_task": "模型任务:",
|
||||
"success": "下载成功",
|
||||
"success_desc": "模型\"{{modelName}}\"-\"{{modelId}}\"下载成功,请前往 OVMS 管理界面添加模型",
|
||||
"tip": "模型正在下载,有时需要几个小时。请耐心等待...",
|
||||
"title": "下载 Intel OpenVINO 模型"
|
||||
},
|
||||
"failed": {
|
||||
"install": "安装 OVMS 失败:",
|
||||
"install_code_100": "未知错误",
|
||||
"install_code_101": "仅支持 Intel(R) Core(TM) Ultra CPU",
|
||||
"install_code_102": "仅支持 Windows",
|
||||
"install_code_103": "下载 OVMS runtime 失败",
|
||||
"install_code_104": "解压 OVMS runtime 失败",
|
||||
"install_code_105": "清理 OVMS runtime 失败",
|
||||
"run": "运行 OVMS 失败:",
|
||||
"stop": "停止 OVMS 失败:"
|
||||
},
|
||||
"status": {
|
||||
"not_installed": "OVMS 未安装",
|
||||
"not_running": "OVMS 未运行",
|
||||
"running": "OVMS 正在运行",
|
||||
"unknown": "OVMS 状态未知"
|
||||
},
|
||||
"title": "Intel OVMS"
|
||||
},
|
||||
"paintings": {
|
||||
"aspect_ratio": "画幅比例",
|
||||
"aspect_ratios": {
|
||||
@@ -2117,7 +2057,6 @@
|
||||
"ollama": "Ollama",
|
||||
"openai": "OpenAI",
|
||||
"openrouter": "OpenRouter",
|
||||
"ovms": "Intel OVMS",
|
||||
"perplexity": "Perplexity",
|
||||
"ph8": "PH8 大模型开放平台",
|
||||
"poe": "Poe",
|
||||
@@ -4412,7 +4351,6 @@
|
||||
"later": "稍后",
|
||||
"message": "发现新版本 {{version}},是否立即安装?",
|
||||
"noReleaseNotes": "暂无更新日志",
|
||||
"saveDataError": "保存数据失败,请重试",
|
||||
"title": "更新提示"
|
||||
},
|
||||
"warning": {
|
||||
|
||||
@@ -251,7 +251,6 @@
|
||||
"added": "已新增",
|
||||
"case_sensitive": "區分大小寫",
|
||||
"collapse": "折疊",
|
||||
"download": "下載",
|
||||
"includes_user_questions": "包含使用者提問",
|
||||
"manage": "管理",
|
||||
"select_model": "選擇模型",
|
||||
@@ -1583,13 +1582,13 @@
|
||||
"nami-ai-search": "納米AI搜索",
|
||||
"qwen": "通義千問",
|
||||
"sensechat": "商量",
|
||||
"stepfun": "階躍AI",
|
||||
"tencent-yuanbao": "騰訊元寶",
|
||||
"tiangong-ai": "天工AI",
|
||||
"wanzhi": "萬知",
|
||||
"wenxin": "文心一言",
|
||||
"wps-copilot": "WPS靈犀",
|
||||
"xiaoyi": "小藝",
|
||||
"yuewen": "躍問",
|
||||
"zhihu": "知乎直答"
|
||||
},
|
||||
"miniwindow": {
|
||||
@@ -1697,12 +1696,6 @@
|
||||
"provider_settings": "跳轉到服務商設置界面"
|
||||
},
|
||||
"notes": {
|
||||
"auto_rename": {
|
||||
"empty_note": "筆記為空,無法生成名稱",
|
||||
"failed": "生成筆記名稱失敗",
|
||||
"label": "生成筆記名稱",
|
||||
"success": "筆記名稱生成成功"
|
||||
},
|
||||
"characters": "字符",
|
||||
"collapse": "收起",
|
||||
"content_placeholder": "請輸入筆記內容...",
|
||||
@@ -1784,8 +1777,6 @@
|
||||
"sort_updated_asc": "更新時間(從舊到新)",
|
||||
"sort_updated_desc": "更新時間(從新到舊)",
|
||||
"sort_z2a": "文件名(Z-A)",
|
||||
"spell_check": "拼寫檢查",
|
||||
"spell_check_tooltip": "啟用/禁用拼寫檢查",
|
||||
"star": "收藏筆記",
|
||||
"starred_notes": "收藏的筆記",
|
||||
"title": "筆記",
|
||||
@@ -1835,57 +1826,6 @@
|
||||
},
|
||||
"title": "Ollama"
|
||||
},
|
||||
"ovms": {
|
||||
"action": {
|
||||
"install": "安裝",
|
||||
"installing": "正在安裝",
|
||||
"reinstall": "重新安裝",
|
||||
"run": "執行 OVMS",
|
||||
"starting": "啟動中",
|
||||
"stop": "停止 OVMS",
|
||||
"stopping": "停止中"
|
||||
},
|
||||
"description": "<div><p>1. 下載 OV 模型。</p><p>2. 在 'Manager' 中新增模型。</p><p>僅支援 Windows!</p><p>OVMS 安裝路徑: '%USERPROFILE%\\.cherrystudio\\ovms' 。</p><p>請參考 <a href=https://github.com/openvinotoolkit/model_server/blob/c55551763d02825829337b62c2dcef9339706f79/docs/deploying_server_baremetal.md>Intel OVMS 指南</a></p></dev>",
|
||||
"download": {
|
||||
"button": "下載",
|
||||
"error": "選擇失敗",
|
||||
"model_id": {
|
||||
"label": "模型 ID",
|
||||
"model_id_pattern": "模型 ID 必須以 OpenVINO/ 開頭",
|
||||
"placeholder": "必填,例如 OpenVINO/Qwen3-8B-int4-ov",
|
||||
"required": "請輸入模型 ID"
|
||||
},
|
||||
"model_name": {
|
||||
"label": "模型名稱",
|
||||
"placeholder": "必填,例如 Qwen3-8B-int4-ov",
|
||||
"required": "請輸入模型名稱"
|
||||
},
|
||||
"model_source": "模型來源:",
|
||||
"model_task": "模型任務:",
|
||||
"success": "下載成功",
|
||||
"success_desc": "模型\"{{modelName}}\"-\"{{modelId}}\"下載成功,請前往 OVMS 管理界面添加模型",
|
||||
"tip": "模型正在下載,有時需要幾個小時。請耐心等候...",
|
||||
"title": "下載 Intel OpenVINO 模型"
|
||||
},
|
||||
"failed": {
|
||||
"install": "安裝 OVMS 失敗:",
|
||||
"install_code_100": "未知錯誤",
|
||||
"install_code_101": "僅支援 Intel(R) Core(TM) Ultra CPU",
|
||||
"install_code_102": "僅支援 Windows",
|
||||
"install_code_103": "下載 OVMS runtime 失敗",
|
||||
"install_code_104": "解壓 OVMS runtime 失敗",
|
||||
"install_code_105": "清理 OVMS runtime 失敗",
|
||||
"run": "執行 OVMS 失敗:",
|
||||
"stop": "停止 OVMS 失敗:"
|
||||
},
|
||||
"status": {
|
||||
"not_installed": "OVMS 未安裝",
|
||||
"not_running": "OVMS 未執行",
|
||||
"running": "OVMS 正在執行",
|
||||
"unknown": "OVMS 狀態未知"
|
||||
},
|
||||
"title": "Intel OVMS"
|
||||
},
|
||||
"paintings": {
|
||||
"aspect_ratio": "畫幅比例",
|
||||
"aspect_ratios": {
|
||||
@@ -2117,7 +2057,6 @@
|
||||
"ollama": "Ollama",
|
||||
"openai": "OpenAI",
|
||||
"openrouter": "OpenRouter",
|
||||
"ovms": "Intel OVMS",
|
||||
"perplexity": "Perplexity",
|
||||
"ph8": "PH8 大模型開放平台",
|
||||
"poe": "Poe",
|
||||
@@ -4412,7 +4351,6 @@
|
||||
"later": "稍後",
|
||||
"message": "新版本 {{version}} 已準備就緒,是否立即安裝?",
|
||||
"noReleaseNotes": "暫無更新日誌",
|
||||
"saveDataError": "保存數據失敗,請重試",
|
||||
"title": "更新提示"
|
||||
},
|
||||
"warning": {
|
||||
|
||||
@@ -251,7 +251,6 @@
|
||||
"added": "προστέθηκε",
|
||||
"case_sensitive": "Διάκριση πεζών/κεφαλαίων",
|
||||
"collapse": "συμπεριλάβετε",
|
||||
"download": "Λήψη",
|
||||
"includes_user_questions": "Περιλαμβάνει ερωτήσεις χρήστη",
|
||||
"manage": "χειριστείτε",
|
||||
"select_model": "επιλογή μοντέλου",
|
||||
@@ -334,7 +333,6 @@
|
||||
"new_topic": "Νέο θέμα {{Command}}",
|
||||
"pause": "Παύση",
|
||||
"placeholder": "Εισάγετε μήνυμα εδώ...",
|
||||
"placeholder_without_triggers": "Εδώ εισαγάγετε το μήνυμα, πατήστε {{key}} για αποστολή",
|
||||
"send": "Αποστολή",
|
||||
"settings": "Ρυθμίσεις",
|
||||
"thinking": {
|
||||
@@ -1583,13 +1581,13 @@
|
||||
"nami-ai-search": "Nami AI Search",
|
||||
"qwen": "Qwen",
|
||||
"sensechat": "SenseChat",
|
||||
"stepfun": "Stepfun",
|
||||
"tencent-yuanbao": "Yuanbao",
|
||||
"tiangong-ai": "Skywork",
|
||||
"wanzhi": "Wanzhi",
|
||||
"wenxin": "ERNIE",
|
||||
"wps-copilot": "WPS Copilot",
|
||||
"xiaoyi": "Xiaoyi",
|
||||
"yuewen": "Yuewen",
|
||||
"zhihu": "Zhihu"
|
||||
},
|
||||
"miniwindow": {
|
||||
@@ -1697,12 +1695,6 @@
|
||||
"provider_settings": "Μετάβαση στις ρυθμίσεις παρόχου"
|
||||
},
|
||||
"notes": {
|
||||
"auto_rename": {
|
||||
"empty_note": "Το σημείωμα είναι κενό, δεν μπορεί να δημιουργηθεί όνομα",
|
||||
"failed": "Αποτυχία δημιουργίας ονόματος σημείωσης",
|
||||
"label": "Δημιουργία ονόματος σημείωσης",
|
||||
"success": "Η δημιουργία του ονόματος σημειώσεων ολοκληρώθηκε με επιτυχία"
|
||||
},
|
||||
"characters": "χαρακτήρας",
|
||||
"collapse": "σύμπτυξη",
|
||||
"content_placeholder": "Παρακαλώ εισαγάγετε το περιεχόμενο των σημειώσεων...",
|
||||
@@ -1784,8 +1776,6 @@
|
||||
"sort_updated_asc": "χρόνος ενημέρωσης (από παλιά στα νέα)",
|
||||
"sort_updated_desc": "χρόνος ενημέρωσης (από νεώτερο σε παλαιότερο)",
|
||||
"sort_z2a": "όνομα αρχείου (Z-A)",
|
||||
"spell_check": "Έλεγχος ορθογραφίας",
|
||||
"spell_check_tooltip": "Ενεργοποίηση/Απενεργοποίηση ελέγχου ορθογραφίας",
|
||||
"star": "Αγαπημένες σημειώσεις",
|
||||
"starred_notes": "Σημειώσεις συλλογής",
|
||||
"title": "σημειώσεις",
|
||||
@@ -1835,57 +1825,6 @@
|
||||
},
|
||||
"title": "Ollama"
|
||||
},
|
||||
"ovms": {
|
||||
"action": {
|
||||
"install": "Εγκατάσταση",
|
||||
"installing": "Εγκατάσταση σε εξέλιξη",
|
||||
"reinstall": "Επανεγκατάσταση",
|
||||
"run": "Εκτέλεση OVMS",
|
||||
"starting": "Εκκίνηση σε εξέλιξη",
|
||||
"stop": "Διακοπή OVMS",
|
||||
"stopping": "Διακοπή σε εξέλιξη"
|
||||
},
|
||||
"description": "<div><p>1. Λήψη μοντέλου OV.</p><p>2. Προσθήκη μοντέλου στο 'Manager'.</p><p>Υποστηρίζεται μόνο στα Windows!</p><p>Διαδρομή εγκατάστασης OVMS: '%USERPROFILE%\\.cherrystudio\\ovms' .</p><p>Ανατρέξτε στον <a href=https://github.com/openvinotoolkit/model_server/blob/c55551763d02825829337b62c2dcef9339706f79/docs/deploying_server_baremetal.md>Οδηγό Intel OVMS</a></p></div>",
|
||||
"download": {
|
||||
"button": "Λήψη",
|
||||
"error": "Η επιλογή απέτυχε",
|
||||
"model_id": {
|
||||
"label": "Αναγνωριστικό μοντέλου:",
|
||||
"model_id_pattern": "Το αναγνωριστικό μοντέλου πρέπει να ξεκινά με OpenVINO/",
|
||||
"placeholder": "Απαιτείται, π.χ. OpenVINO/Qwen3-8B-int4-ov",
|
||||
"required": "Παρακαλώ εισάγετε το αναγνωριστικό μοντέλου"
|
||||
},
|
||||
"model_name": {
|
||||
"label": "Όνομα μοντέλου:",
|
||||
"placeholder": "Απαιτείται, π.χ. Qwen3-8B-int4-ov",
|
||||
"required": "Παρακαλώ εισάγετε το όνομα του μοντέλου"
|
||||
},
|
||||
"model_source": "Πηγή μοντέλου:",
|
||||
"model_task": "Εργασία μοντέλου:",
|
||||
"success": "Η λήψη ολοκληρώθηκε με επιτυχία",
|
||||
"success_desc": "Το μοντέλο \"{{modelName}}\"-\"{{modelId}}\" λήφθηκε επιτυχώς, παρακαλώ μεταβείτε στη διεπαφή διαχείρισης OVMS για να προσθέσετε το μοντέλο",
|
||||
"tip": "Το μοντέλο κατεβαίνει, μερικές φορές χρειάζονται αρκετές ώρες. Παρακαλώ περιμένετε υπομονετικά...",
|
||||
"title": "Λήψη μοντέλου Intel OpenVINO"
|
||||
},
|
||||
"failed": {
|
||||
"install": "Η εγκατάσταση του OVMS απέτυχε:",
|
||||
"install_code_100": "Άγνωστο σφάλμα",
|
||||
"install_code_101": "Υποστηρίζεται μόνο σε Intel(R) Core(TM) Ultra CPU",
|
||||
"install_code_102": "Υποστηρίζεται μόνο στα Windows",
|
||||
"install_code_103": "Η λήψη του OVMS runtime απέτυχε",
|
||||
"install_code_104": "Η αποσυμπίεση του OVMS runtime απέτυχε",
|
||||
"install_code_105": "Ο καθαρισμός του OVMS runtime απέτυχε",
|
||||
"run": "Η εκτέλεση του OVMS απέτυχε:",
|
||||
"stop": "Η διακοπή του OVMS απέτυχε:"
|
||||
},
|
||||
"status": {
|
||||
"not_installed": "Το OVMS δεν έχει εγκατασταθεί",
|
||||
"not_running": "Το OVMS δεν εκτελείται",
|
||||
"running": "Το OVMS εκτελείται",
|
||||
"unknown": "Άγνωστη κατάσταση OVMS"
|
||||
},
|
||||
"title": "Intel OVMS"
|
||||
},
|
||||
"paintings": {
|
||||
"aspect_ratio": "Λόγος διαστάσεων",
|
||||
"aspect_ratios": {
|
||||
@@ -2117,7 +2056,6 @@
|
||||
"ollama": "Ollama",
|
||||
"openai": "OpenAI",
|
||||
"openrouter": "OpenRouter",
|
||||
"ovms": "Intel OVMS",
|
||||
"perplexity": "Perplexity",
|
||||
"ph8": "Πλατφόρμα Ανοιχτής Μεγάλης Μοντέλου PH8",
|
||||
"poe": "Poe",
|
||||
@@ -4412,7 +4350,6 @@
|
||||
"later": "Μετά",
|
||||
"message": "Νέα έκδοση {{version}} είναι έτοιμη, θέλετε να την εγκαταστήσετε τώρα;",
|
||||
"noReleaseNotes": "Χωρίς σημειώσεις",
|
||||
"saveDataError": "Η αποθήκευση των δεδομένων απέτυχε, δοκιμάστε ξανά",
|
||||
"title": "Ενημέρωση"
|
||||
},
|
||||
"warning": {
|
||||
|
||||
@@ -251,7 +251,6 @@
|
||||
"added": "Agregado",
|
||||
"case_sensitive": "Distingue mayúsculas y minúsculas",
|
||||
"collapse": "Colapsar",
|
||||
"download": "Descargar",
|
||||
"includes_user_questions": "Incluye preguntas del usuario",
|
||||
"manage": "Administrar",
|
||||
"select_model": "Seleccionar Modelo",
|
||||
@@ -334,7 +333,6 @@
|
||||
"new_topic": "Nuevo tema {{Command}}",
|
||||
"pause": "Pausar",
|
||||
"placeholder": "Escribe aquí tu mensaje...",
|
||||
"placeholder_without_triggers": "Escriba un mensaje aquí y presione {{key}} para enviar",
|
||||
"send": "Enviar",
|
||||
"settings": "Configuración",
|
||||
"thinking": {
|
||||
@@ -1583,13 +1581,13 @@
|
||||
"nami-ai-search": "Nami AI Search",
|
||||
"qwen": "Qwen",
|
||||
"sensechat": "SenseChat",
|
||||
"stepfun": "Stepfun",
|
||||
"tencent-yuanbao": "Yuanbao",
|
||||
"tiangong-ai": "Skywork",
|
||||
"wanzhi": "Wanzhi",
|
||||
"wenxin": "ERNIE",
|
||||
"wps-copilot": "WPS Copilot",
|
||||
"xiaoyi": "Xiaoyi",
|
||||
"yuewen": "Yuewen",
|
||||
"zhihu": "Zhihu"
|
||||
},
|
||||
"miniwindow": {
|
||||
@@ -1697,12 +1695,6 @@
|
||||
"provider_settings": "Ir a la configuración del proveedor"
|
||||
},
|
||||
"notes": {
|
||||
"auto_rename": {
|
||||
"empty_note": "La nota está vacía, no se puede generar un nombre",
|
||||
"failed": "Error al generar el nombre de la nota",
|
||||
"label": "Generar nombre de nota",
|
||||
"success": "Se ha generado correctamente el nombre de la nota"
|
||||
},
|
||||
"characters": "carácter",
|
||||
"collapse": "ocultar",
|
||||
"content_placeholder": "Introduzca el contenido de la nota...",
|
||||
@@ -1784,8 +1776,6 @@
|
||||
"sort_updated_asc": "Fecha de actualización (de más antigua a más reciente)",
|
||||
"sort_updated_desc": "Fecha de actualización (de más nuevo a más antiguo)",
|
||||
"sort_z2a": "Nombre de archivo (Z-A)",
|
||||
"spell_check": "comprobación ortográfica",
|
||||
"spell_check_tooltip": "Habilitar/deshabilitar revisión ortográfica",
|
||||
"star": "Notas guardadas",
|
||||
"starred_notes": "notas guardadas",
|
||||
"title": "notas",
|
||||
@@ -1835,57 +1825,6 @@
|
||||
},
|
||||
"title": "Ollama"
|
||||
},
|
||||
"ovms": {
|
||||
"action": {
|
||||
"install": "Instalar",
|
||||
"installing": "Instalando",
|
||||
"reinstall": "Reinstalar",
|
||||
"run": "Ejecutar OVMS",
|
||||
"starting": "Iniciando",
|
||||
"stop": "Detener OVMS",
|
||||
"stopping": "Deteniendo"
|
||||
},
|
||||
"description": "<div><p>1. Descargar modelo OV.</p><p>2. Agregar modelo en 'Administrador'.</p><p>¡Solo compatible con Windows!</p><p>Ruta de instalación de OVMS: '%USERPROFILE%\\.cherrystudio\\ovms' .</p><p>Consulte la <a href=https://github.com/openvinotoolkit/model_server/blob/c55551763d02825829337b62c2dcef9339706f79/docs/deploying_server_baremetal.md>Guía de Intel OVMS</a></p></dev>",
|
||||
"download": {
|
||||
"button": "Descargar",
|
||||
"error": "Selección fallida",
|
||||
"model_id": {
|
||||
"label": "ID del modelo:",
|
||||
"model_id_pattern": "El ID del modelo debe comenzar con OpenVINO/",
|
||||
"placeholder": "Requerido, por ejemplo, OpenVINO/Qwen3-8B-int4-ov",
|
||||
"required": "Por favor, ingrese el ID del modelo"
|
||||
},
|
||||
"model_name": {
|
||||
"label": "Nombre del modelo:",
|
||||
"placeholder": "Requerido, por ejemplo, Qwen3-8B-int4-ov",
|
||||
"required": "Por favor, ingrese el nombre del modelo"
|
||||
},
|
||||
"model_source": "Fuente del modelo:",
|
||||
"model_task": "Tarea del modelo:",
|
||||
"success": "Descarga exitosa",
|
||||
"success_desc": "El modelo \"{{modelName}}\"-\"{{modelId}}\" se descargó exitosamente, por favor vaya a la interfaz de administración de OVMS para agregar el modelo",
|
||||
"tip": "El modelo se está descargando, a veces toma varias horas. Por favor espere pacientemente...",
|
||||
"title": "Descargar modelo Intel OpenVINO"
|
||||
},
|
||||
"failed": {
|
||||
"install": "Error al instalar OVMS:",
|
||||
"install_code_100": "Error desconocido",
|
||||
"install_code_101": "Solo compatible con CPU Intel(R) Core(TM) Ultra",
|
||||
"install_code_102": "Solo compatible con Windows",
|
||||
"install_code_103": "Error al descargar el tiempo de ejecución de OVMS",
|
||||
"install_code_104": "Error al descomprimir el tiempo de ejecución de OVMS",
|
||||
"install_code_105": "Error al limpiar el tiempo de ejecución de OVMS",
|
||||
"run": "Error al ejecutar OVMS:",
|
||||
"stop": "Error al detener OVMS:"
|
||||
},
|
||||
"status": {
|
||||
"not_installed": "OVMS no instalado",
|
||||
"not_running": "OVMS no está en ejecución",
|
||||
"running": "OVMS en ejecución",
|
||||
"unknown": "Estado de OVMS desconocido"
|
||||
},
|
||||
"title": "Intel OVMS"
|
||||
},
|
||||
"paintings": {
|
||||
"aspect_ratio": "Relación de aspecto",
|
||||
"aspect_ratios": {
|
||||
@@ -2117,7 +2056,6 @@
|
||||
"ollama": "Ollama",
|
||||
"openai": "OpenAI",
|
||||
"openrouter": "OpenRouter",
|
||||
"ovms": "Intel OVMS",
|
||||
"perplexity": "Perplejidad",
|
||||
"ph8": "Plataforma Abierta de Grandes Modelos PH8",
|
||||
"poe": "Poe",
|
||||
@@ -4412,7 +4350,6 @@
|
||||
"later": "Más tarde",
|
||||
"message": "Nueva versión {{version}} disponible, ¿desea instalarla ahora?",
|
||||
"noReleaseNotes": "Sin notas de la versión",
|
||||
"saveDataError": "Error al guardar los datos, inténtalo de nuevo",
|
||||
"title": "Actualización"
|
||||
},
|
||||
"warning": {
|
||||
|
||||
@@ -251,7 +251,6 @@
|
||||
"added": "Ajouté",
|
||||
"case_sensitive": "Respecter la casse",
|
||||
"collapse": "Réduire",
|
||||
"download": "Télécharger",
|
||||
"includes_user_questions": "Inclure les questions de l'utilisateur",
|
||||
"manage": "Gérer",
|
||||
"select_model": "Sélectionner le Modèle",
|
||||
@@ -334,7 +333,6 @@
|
||||
"new_topic": "Nouveau sujet {{Command}}",
|
||||
"pause": "Pause",
|
||||
"placeholder": "Entrez votre message ici...",
|
||||
"placeholder_without_triggers": "Entrez votre message ici, appuyez sur {{key}} pour envoyer",
|
||||
"send": "Envoyer",
|
||||
"settings": "Paramètres",
|
||||
"thinking": {
|
||||
@@ -1583,13 +1581,13 @@
|
||||
"nami-ai-search": "Nami AI Search",
|
||||
"qwen": "Qwen",
|
||||
"sensechat": "SenseChat",
|
||||
"stepfun": "Stepfun",
|
||||
"tencent-yuanbao": "Yuanbao",
|
||||
"tiangong-ai": "Skywork",
|
||||
"wanzhi": "Wanzhi",
|
||||
"wenxin": "ERNIE",
|
||||
"wps-copilot": "WPS Copilot",
|
||||
"xiaoyi": "Xiaoyi",
|
||||
"yuewen": "Yuewen",
|
||||
"zhihu": "Zhihu"
|
||||
},
|
||||
"miniwindow": {
|
||||
@@ -1697,12 +1695,6 @@
|
||||
"provider_settings": "Aller aux paramètres du fournisseur"
|
||||
},
|
||||
"notes": {
|
||||
"auto_rename": {
|
||||
"empty_note": "La note est vide, impossible de générer un nom",
|
||||
"failed": "Échec de la génération du nom de note",
|
||||
"label": "Générer un nom de note",
|
||||
"success": "La génération du nom de note a réussi"
|
||||
},
|
||||
"characters": "caractère",
|
||||
"collapse": "réduire",
|
||||
"content_placeholder": "Veuillez saisir le contenu de la note...",
|
||||
@@ -1784,8 +1776,6 @@
|
||||
"sort_updated_asc": "Heure de mise à jour (du plus ancien au plus récent)",
|
||||
"sort_updated_desc": "Date de mise à jour (du plus récent au plus ancien)",
|
||||
"sort_z2a": "Nom de fichier (Z-A)",
|
||||
"spell_check": "Vérification orthographique",
|
||||
"spell_check_tooltip": "Activer/Désactiver la vérification orthographique",
|
||||
"star": "Notes enregistrées",
|
||||
"starred_notes": "notes de collection",
|
||||
"title": "notes",
|
||||
@@ -1835,57 +1825,6 @@
|
||||
},
|
||||
"title": "Ollama"
|
||||
},
|
||||
"ovms": {
|
||||
"action": {
|
||||
"install": "Installer",
|
||||
"installing": "Installation en cours",
|
||||
"reinstall": "Réinstaller",
|
||||
"run": "Exécuter OVMS",
|
||||
"starting": "Démarrage en cours",
|
||||
"stop": "Arrêter OVMS",
|
||||
"stopping": "Arrêt en cours"
|
||||
},
|
||||
"description": "<div><p>1. Télécharger le modèle OV.</p><p>2. Ajouter le modèle dans 'Manager'.</p><p>Uniquement compatible avec Windows !</p><p>Chemin d'installation d'OVMS : '%USERPROFILE%\\.cherrystudio\\ovms' .</p><p>Veuillez vous référer au <a href=https://github.com/openvinotoolkit/model_server/blob/c55551763d02825829337b62c2dcef9339706f79/docs/deploying_server_baremetal.md>Guide Intel OVMS</a></p></dev>",
|
||||
"download": {
|
||||
"button": "Télécharger",
|
||||
"error": "Échec de la sélection",
|
||||
"model_id": {
|
||||
"label": "ID du modèle :",
|
||||
"model_id_pattern": "L'ID du modèle doit commencer par OpenVINO/",
|
||||
"placeholder": "Requis, par exemple OpenVINO/Qwen3-8B-int4-ov",
|
||||
"required": "Veuillez saisir l'ID du modèle"
|
||||
},
|
||||
"model_name": {
|
||||
"label": "Nom du modèle :",
|
||||
"placeholder": "Requis, par exemple Qwen3-8B-int4-ov",
|
||||
"required": "Veuillez saisir le nom du modèle"
|
||||
},
|
||||
"model_source": "Source du modèle :",
|
||||
"model_task": "Tâche du modèle :",
|
||||
"success": "Téléchargement réussi",
|
||||
"success_desc": "Le modèle \"{{modelName}}\"-\"{{modelId}}\" a été téléchargé avec succès, veuillez vous rendre à l'interface de gestion OVMS pour ajouter le modèle",
|
||||
"tip": "Le modèle est en cours de téléchargement, cela peut parfois prendre plusieurs heures. Veuillez patienter...",
|
||||
"title": "Télécharger le modèle Intel OpenVINO"
|
||||
},
|
||||
"failed": {
|
||||
"install": "Échec de l'installation d'OVMS :",
|
||||
"install_code_100": "Erreur inconnue",
|
||||
"install_code_101": "Uniquement compatible avec les processeurs Intel(R) Core(TM) Ultra",
|
||||
"install_code_102": "Uniquement compatible avec Windows",
|
||||
"install_code_103": "Échec du téléchargement du runtime OVMS",
|
||||
"install_code_104": "Échec de la décompression du runtime OVMS",
|
||||
"install_code_105": "Échec du nettoyage du runtime OVMS",
|
||||
"run": "Échec de l'exécution d'OVMS :",
|
||||
"stop": "Échec de l'arrêt d'OVMS :"
|
||||
},
|
||||
"status": {
|
||||
"not_installed": "OVMS non installé",
|
||||
"not_running": "OVMS n'est pas en cours d'exécution",
|
||||
"running": "OVMS en cours d'exécution",
|
||||
"unknown": "État d'OVMS inconnu"
|
||||
},
|
||||
"title": "Intel OVMS"
|
||||
},
|
||||
"paintings": {
|
||||
"aspect_ratio": "Format d'image",
|
||||
"aspect_ratios": {
|
||||
@@ -2117,7 +2056,6 @@
|
||||
"ollama": "Ollama",
|
||||
"openai": "OpenAI",
|
||||
"openrouter": "OpenRouter",
|
||||
"ovms": "Intel OVMS",
|
||||
"perplexity": "Perplexité",
|
||||
"ph8": "Plateforme ouverte de grands modèles PH8",
|
||||
"poe": "Poe",
|
||||
@@ -4412,7 +4350,6 @@
|
||||
"later": "Plus tard",
|
||||
"message": "Nouvelle version {{version}} disponible, voulez-vous l'installer maintenant ?",
|
||||
"noReleaseNotes": "Aucune note de version",
|
||||
"saveDataError": "Échec de la sauvegarde des données, veuillez réessayer",
|
||||
"title": "Mise à jour"
|
||||
},
|
||||
"warning": {
|
||||
|
||||
@@ -251,7 +251,6 @@
|
||||
"added": "追加済み",
|
||||
"case_sensitive": "大文字と小文字の区別",
|
||||
"collapse": "折りたたむ",
|
||||
"download": "ダウンロード",
|
||||
"includes_user_questions": "ユーザーからの質問を含む",
|
||||
"manage": "管理",
|
||||
"select_model": "モデルを選択",
|
||||
@@ -334,7 +333,6 @@
|
||||
"new_topic": "新しいトピック {{Command}}",
|
||||
"pause": "一時停止",
|
||||
"placeholder": "ここにメッセージを入力し、{{key}} を押して送信...",
|
||||
"placeholder_without_triggers": "ここにメッセージを入力し、{{key}} を押して送信してください",
|
||||
"send": "送信",
|
||||
"settings": "設定",
|
||||
"thinking": {
|
||||
@@ -1583,13 +1581,13 @@
|
||||
"nami-ai-search": "Nami AI Search",
|
||||
"qwen": "通義千問",
|
||||
"sensechat": "SenseChat",
|
||||
"stepfun": "Stepfun",
|
||||
"tencent-yuanbao": "騰訊元宝",
|
||||
"tiangong-ai": "Skywork",
|
||||
"wanzhi": "万知",
|
||||
"wenxin": "ERNIE",
|
||||
"wps-copilot": "WPS Copilot",
|
||||
"xiaoyi": "小藝",
|
||||
"yuewen": "躍問",
|
||||
"zhihu": "知乎直答"
|
||||
},
|
||||
"miniwindow": {
|
||||
@@ -1697,12 +1695,6 @@
|
||||
"provider_settings": "プロバイダー設定に移動"
|
||||
},
|
||||
"notes": {
|
||||
"auto_rename": {
|
||||
"empty_note": "ノートが空です。名前を生成できません。",
|
||||
"failed": "ノート名の生成に失敗しました",
|
||||
"label": "ノート名の生成",
|
||||
"success": "ノート名の生成に成功しました"
|
||||
},
|
||||
"characters": "文字",
|
||||
"collapse": "閉じる",
|
||||
"content_placeholder": "メモの内容を入力してください...",
|
||||
@@ -1784,8 +1776,6 @@
|
||||
"sort_updated_asc": "更新日時(古い順)",
|
||||
"sort_updated_desc": "更新日時(新しい順)",
|
||||
"sort_z2a": "ファイル名(Z-A)",
|
||||
"spell_check": "スペルチェック",
|
||||
"spell_check_tooltip": "スペルチェックの有効/無効",
|
||||
"star": "お気に入りのノート",
|
||||
"starred_notes": "収集したノート",
|
||||
"title": "ノート",
|
||||
@@ -1835,57 +1825,6 @@
|
||||
},
|
||||
"title": "Ollama"
|
||||
},
|
||||
"ovms": {
|
||||
"action": {
|
||||
"install": "インストール",
|
||||
"installing": "インストール中",
|
||||
"reinstall": "再インストール",
|
||||
"run": "OVMSを実行",
|
||||
"starting": "起動中",
|
||||
"stop": "OVMSを停止",
|
||||
"stopping": "停止中"
|
||||
},
|
||||
"description": "<div><p>1. OVモデルをダウンロードします。</p><p>2. 'マネージャー'でモデルを追加します。</p><p>Windowsのみサポート!</p><p>OVMSインストールパス: '%USERPROFILE%\\.cherrystudio\\ovms' 。</p><p>詳細は<a href=https://github.com/openvinotoolkit/model_server/blob/c55551763d02825829337b62c2dcef9339706f79/docs/deploying_server_baremetal.md>Intel OVMSガイド</a>をご参照ください。</p></dev>",
|
||||
"download": {
|
||||
"button": "ダウンロード",
|
||||
"error": "ダウンロードエラー",
|
||||
"model_id": {
|
||||
"label": "モデルID",
|
||||
"model_id_pattern": "モデルIDはOpenVINO/で始まる必要があります",
|
||||
"placeholder": "必須 例: OpenVINO/Qwen3-8B-int4-ov",
|
||||
"required": "モデルIDを入力してください"
|
||||
},
|
||||
"model_name": {
|
||||
"label": "モデル名",
|
||||
"placeholder": "必須 例: Qwen3-8B-int4-ov",
|
||||
"required": "モデル名を入力してください"
|
||||
},
|
||||
"model_source": "モデルソース:",
|
||||
"model_task": "モデルタスク:",
|
||||
"success": "ダウンロード成功",
|
||||
"success_desc": "モデル\"{{modelName}}\"-\"{{modelId}}\"ダウンロード成功、OVMS管理インターフェースに移動してモデルを追加してください",
|
||||
"tip": "モデルはダウンロードされていますが、時には数時間かかります。我慢してください...",
|
||||
"title": "Intel OpenVINOモデルをダウンロード"
|
||||
},
|
||||
"failed": {
|
||||
"install": "OVMSのインストールに失敗しました:",
|
||||
"install_code_100": "不明なエラー",
|
||||
"install_code_101": "Intel(R) Core(TM) Ultra CPUのみサポート",
|
||||
"install_code_102": "Windowsのみサポート",
|
||||
"install_code_103": "OVMSランタイムのダウンロードに失敗しました",
|
||||
"install_code_104": "OVMSランタイムの解凍に失敗しました",
|
||||
"install_code_105": "OVMSランタイムのクリーンアップに失敗しました",
|
||||
"run": "OVMSの実行に失敗しました:",
|
||||
"stop": "OVMSの停止に失敗しました:"
|
||||
},
|
||||
"status": {
|
||||
"not_installed": "OVMSはインストールされていません",
|
||||
"not_running": "OVMSは実行されていません",
|
||||
"running": "OVMSは実行中です",
|
||||
"unknown": "OVMSのステータスが不明です"
|
||||
},
|
||||
"title": "Intel OVMS"
|
||||
},
|
||||
"paintings": {
|
||||
"aspect_ratio": "画幅比例",
|
||||
"aspect_ratios": {
|
||||
@@ -2117,7 +2056,6 @@
|
||||
"ollama": "Ollama",
|
||||
"openai": "OpenAI",
|
||||
"openrouter": "OpenRouter",
|
||||
"ovms": "Intel OVMS",
|
||||
"perplexity": "Perplexity",
|
||||
"ph8": "PH8",
|
||||
"poe": "Poe",
|
||||
@@ -4412,7 +4350,6 @@
|
||||
"later": "後で",
|
||||
"message": "新バージョン {{version}} が利用可能です。今すぐインストールしますか?",
|
||||
"noReleaseNotes": "暫無更新日誌",
|
||||
"saveDataError": "データの保存に失敗しました。もう一度お試しください。",
|
||||
"title": "更新"
|
||||
},
|
||||
"warning": {
|
||||
|
||||
@@ -251,7 +251,6 @@
|
||||
"added": "Adicionado",
|
||||
"case_sensitive": "Diferenciar maiúsculas e minúsculas",
|
||||
"collapse": "Recolher",
|
||||
"download": "Baixar",
|
||||
"includes_user_questions": "Incluir perguntas do usuário",
|
||||
"manage": "Gerenciar",
|
||||
"select_model": "Selecionar Modelo",
|
||||
@@ -334,7 +333,6 @@
|
||||
"new_topic": "Novo tópico {{Command}}",
|
||||
"pause": "Pausar",
|
||||
"placeholder": "Digite sua mensagem aqui...",
|
||||
"placeholder_without_triggers": "Digite a mensagem aqui, pressione {{key}} para enviar",
|
||||
"send": "Enviar",
|
||||
"settings": "Configurações",
|
||||
"thinking": {
|
||||
@@ -1583,13 +1581,13 @@
|
||||
"nami-ai-search": "Nami AI Search",
|
||||
"qwen": "Qwen",
|
||||
"sensechat": "SenseChat",
|
||||
"stepfun": "Stepfun",
|
||||
"tencent-yuanbao": "Yuanbao",
|
||||
"tiangong-ai": "Skywork",
|
||||
"wanzhi": "Wanzhi",
|
||||
"wenxin": "ERNIE",
|
||||
"wps-copilot": "WPS Copilot",
|
||||
"xiaoyi": "Xiaoyi",
|
||||
"yuewen": "Yuewen",
|
||||
"zhihu": "Zhihu"
|
||||
},
|
||||
"miniwindow": {
|
||||
@@ -1697,12 +1695,6 @@
|
||||
"provider_settings": "Ir para as configurações do provedor"
|
||||
},
|
||||
"notes": {
|
||||
"auto_rename": {
|
||||
"empty_note": "A nota está vazia, não é possível gerar um nome",
|
||||
"failed": "Falha ao gerar o nome da nota",
|
||||
"label": "Gerar nome da nota",
|
||||
"success": "Nome da nota gerado com sucesso"
|
||||
},
|
||||
"characters": "caractere",
|
||||
"collapse": "[minimizar]",
|
||||
"content_placeholder": "Introduza o conteúdo da nota...",
|
||||
@@ -1784,8 +1776,6 @@
|
||||
"sort_updated_asc": "Tempo de atualização (do mais antigo para o mais recente)",
|
||||
"sort_updated_desc": "atualização de tempo (do mais novo para o mais antigo)",
|
||||
"sort_z2a": "Nome do arquivo (Z-A)",
|
||||
"spell_check": "verificação ortográfica",
|
||||
"spell_check_tooltip": "Ativar/Desativar verificação ortográfica",
|
||||
"star": "Notas favoritas",
|
||||
"starred_notes": "notas salvas",
|
||||
"title": "nota",
|
||||
@@ -1835,57 +1825,6 @@
|
||||
},
|
||||
"title": "Ollama"
|
||||
},
|
||||
"ovms": {
|
||||
"action": {
|
||||
"install": "Instalar",
|
||||
"installing": "Instalando",
|
||||
"reinstall": "Reinstalar",
|
||||
"run": "Executar OVMS",
|
||||
"starting": "Iniciando",
|
||||
"stop": "Parar OVMS",
|
||||
"stopping": "Parando"
|
||||
},
|
||||
"description": "<div><p>1. Baixe o modelo OV.</p><p>2. Adicione o modelo no 'Gerenciador'.</p><p>Compatível apenas com Windows!</p><p>Caminho de instalação do OVMS: '%USERPROFILE%\\.cherrystudio\\ovms' .</p><p>Consulte o <a href=https://github.com/openvinotoolkit/model_server/blob/c55551763d02825829337b62c2dcef9339706f79/docs/deploying_server_baremetal.md>Guia do Intel OVMS</a></p></dev>",
|
||||
"download": {
|
||||
"button": "Baixar",
|
||||
"error": "Falha na seleção",
|
||||
"model_id": {
|
||||
"label": "ID do modelo:",
|
||||
"model_id_pattern": "O ID do modelo deve começar com OpenVINO/",
|
||||
"placeholder": "Obrigatório, por exemplo, OpenVINO/Qwen3-8B-int4-ov",
|
||||
"required": "Por favor, insira o ID do modelo"
|
||||
},
|
||||
"model_name": {
|
||||
"label": "Nome do modelo:",
|
||||
"placeholder": "Obrigatório, por exemplo, Qwen3-8B-int4-ov",
|
||||
"required": "Por favor, insira o nome do modelo"
|
||||
},
|
||||
"model_source": "Fonte do modelo:",
|
||||
"model_task": "Tarefa do modelo:",
|
||||
"success": "Download concluído com sucesso",
|
||||
"success_desc": "O modelo \"{{modelName}}\"-\"{{modelId}}\" foi baixado com sucesso, por favor vá para a interface de gerenciamento OVMS para adicionar o modelo",
|
||||
"tip": "O modelo está sendo baixado, às vezes leva várias horas. Por favor aguarde pacientemente...",
|
||||
"title": "Baixar modelo Intel OpenVINO"
|
||||
},
|
||||
"failed": {
|
||||
"install": "Falha na instalação do OVMS:",
|
||||
"install_code_100": "Erro desconhecido",
|
||||
"install_code_101": "Compatível apenas com CPU Intel(R) Core(TM) Ultra",
|
||||
"install_code_102": "Compatível apenas com Windows",
|
||||
"install_code_103": "Falha ao baixar o tempo de execução do OVMS",
|
||||
"install_code_104": "Falha ao descompactar o tempo de execução do OVMS",
|
||||
"install_code_105": "Falha ao limpar o tempo de execução do OVMS",
|
||||
"run": "Falha ao executar o OVMS:",
|
||||
"stop": "Falha ao parar o OVMS:"
|
||||
},
|
||||
"status": {
|
||||
"not_installed": "OVMS não instalado",
|
||||
"not_running": "OVMS não está em execução",
|
||||
"running": "OVMS em execução",
|
||||
"unknown": "Status do OVMS desconhecido"
|
||||
},
|
||||
"title": "Intel OVMS"
|
||||
},
|
||||
"paintings": {
|
||||
"aspect_ratio": "Proporção da Imagem",
|
||||
"aspect_ratios": {
|
||||
@@ -2117,7 +2056,6 @@
|
||||
"ollama": "Ollama",
|
||||
"openai": "OpenAI",
|
||||
"openrouter": "OpenRouter",
|
||||
"ovms": "Intel OVMS",
|
||||
"perplexity": "Perplexidade",
|
||||
"ph8": "Plataforma Aberta de Grandes Modelos PH8",
|
||||
"poe": "Poe",
|
||||
@@ -4412,7 +4350,6 @@
|
||||
"later": "Mais tarde",
|
||||
"message": "Nova versão {{version}} disponível, deseja instalar agora?",
|
||||
"noReleaseNotes": "Sem notas de versão",
|
||||
"saveDataError": "Falha ao salvar os dados, tente novamente",
|
||||
"title": "Atualização"
|
||||
},
|
||||
"warning": {
|
||||
|
||||
@@ -251,7 +251,6 @@
|
||||
"added": "Добавлено",
|
||||
"case_sensitive": "Чувствительность к регистру",
|
||||
"collapse": "Свернуть",
|
||||
"download": "Скачать",
|
||||
"includes_user_questions": "Включает вопросы пользователей",
|
||||
"manage": "Редактировать",
|
||||
"select_model": "Выбрать модель",
|
||||
@@ -334,7 +333,6 @@
|
||||
"new_topic": "Новый топик {{Command}}",
|
||||
"pause": "Остановить",
|
||||
"placeholder": "Введите ваше сообщение здесь, нажмите {{key}} для отправки...",
|
||||
"placeholder_without_triggers": "Введите сообщение здесь, нажмите {{key}}, чтобы отправить",
|
||||
"send": "Отправить",
|
||||
"settings": "Настройки",
|
||||
"thinking": {
|
||||
@@ -1583,13 +1581,13 @@
|
||||
"nami-ai-search": "Nami AI Search",
|
||||
"qwen": "Qwen",
|
||||
"sensechat": "SenseChat",
|
||||
"stepfun": "Stepfun",
|
||||
"tencent-yuanbao": "Tencent Yuanbao",
|
||||
"tiangong-ai": "Skywork",
|
||||
"wanzhi": "Wanzhi",
|
||||
"wenxin": "ERNIE",
|
||||
"wps-copilot": "WPS Copilot",
|
||||
"xiaoyi": "Xiaoyi",
|
||||
"yuewen": "Yuewen",
|
||||
"zhihu": "Zhihu"
|
||||
},
|
||||
"miniwindow": {
|
||||
@@ -1697,12 +1695,6 @@
|
||||
"provider_settings": "Перейти к настройкам поставщика"
|
||||
},
|
||||
"notes": {
|
||||
"auto_rename": {
|
||||
"empty_note": "Заметки пусты, имя невозможно сгенерировать",
|
||||
"failed": "Создание названия заметки не удалось",
|
||||
"label": "Создать название заметки",
|
||||
"success": "Имя заметки успешно создано"
|
||||
},
|
||||
"characters": "Символы",
|
||||
"collapse": "Свернуть",
|
||||
"content_placeholder": "Введите содержимое заметки...",
|
||||
@@ -1784,8 +1776,6 @@
|
||||
"sort_updated_asc": "Время обновления (от старого к новому)",
|
||||
"sort_updated_desc": "Время обновления (от нового к старому)",
|
||||
"sort_z2a": "Имя файла (Я-А)",
|
||||
"spell_check": "Проверка орфографии",
|
||||
"spell_check_tooltip": "Включить/отключить проверку орфографии",
|
||||
"star": "Избранные заметки",
|
||||
"starred_notes": "Сохраненные заметки",
|
||||
"title": "заметки",
|
||||
@@ -1835,57 +1825,6 @@
|
||||
},
|
||||
"title": "Ollama"
|
||||
},
|
||||
"ovms": {
|
||||
"action": {
|
||||
"install": "Установить",
|
||||
"installing": "Установка",
|
||||
"reinstall": "Переустановить",
|
||||
"run": "Запустить OVMS",
|
||||
"starting": "Запуск",
|
||||
"stop": "Остановить OVMS",
|
||||
"stopping": "Остановка"
|
||||
},
|
||||
"description": "<div><p>1. Загрузите модели OV.</p><p>2. Добавьте модели в 'Менеджер'.</p><p>Поддерживается только Windows!</p><p>Путь установки OVMS: '%USERPROFILE%\\.cherrystudio\\ovms'.</p><p>Пожалуйста, ознакомьтесь с <a href=https://github.com/openvinotoolkit/model_server/blob/c55551763d02825829337b62c2dcef9339706f79/docs/deploying_server_baremetal.md>руководством Intel OVMS</a></p></dev>",
|
||||
"download": {
|
||||
"button": "Скачать",
|
||||
"error": "Ошибка загрузки",
|
||||
"model_id": {
|
||||
"label": "ID модели",
|
||||
"model_id_pattern": "ID модели должен начинаться с OpenVINO/",
|
||||
"placeholder": "Обязательно, например: OpenVINO/Qwen3-8B-int4-ov",
|
||||
"required": "Пожалуйста, введите ID модели"
|
||||
},
|
||||
"model_name": {
|
||||
"label": "Название модели:",
|
||||
"placeholder": "Обязательно, например: Qwen3-8B-int4-ov",
|
||||
"required": "Пожалуйста, введите название модели"
|
||||
},
|
||||
"model_source": "Источник модели:",
|
||||
"model_task": "Задача модели:",
|
||||
"success": "Скачивание успешно",
|
||||
"success_desc": "Модель \"{{modelName}}\"-\"{{modelId}}\" успешно скачана, пожалуйста, перейдите в интерфейс управления OVMS, чтобы добавить модель",
|
||||
"tip": "Модель загружается, иногда это занимает часы. Пожалуйста, будьте терпеливы...",
|
||||
"title": "Скачать модель Intel OpenVINO"
|
||||
},
|
||||
"failed": {
|
||||
"install": "Ошибка установки OVMS:",
|
||||
"install_code_100": "Неизвестная ошибка",
|
||||
"install_code_101": "Поддерживаются только процессоры Intel(R) Core(TM) Ultra CPU",
|
||||
"install_code_102": "Поддерживается только Windows",
|
||||
"install_code_103": "Ошибка загрузки среды выполнения OVMS",
|
||||
"install_code_104": "Ошибка распаковки среды выполнения OVMS",
|
||||
"install_code_105": "Ошибка очистки среды выполнения OVMS",
|
||||
"run": "Ошибка запуска OVMS:",
|
||||
"stop": "Ошибка остановки OVMS:"
|
||||
},
|
||||
"status": {
|
||||
"not_installed": "OVMS не установлен",
|
||||
"not_running": "OVMS не запущен",
|
||||
"running": "OVMS запущен",
|
||||
"unknown": "Статус OVMS неизвестен"
|
||||
},
|
||||
"title": "Intel OVMS"
|
||||
},
|
||||
"paintings": {
|
||||
"aspect_ratio": "Пропорции изображения",
|
||||
"aspect_ratios": {
|
||||
@@ -2117,7 +2056,6 @@
|
||||
"ollama": "Ollama",
|
||||
"openai": "OpenAI",
|
||||
"openrouter": "OpenRouter",
|
||||
"ovms": "Intel OVMS",
|
||||
"perplexity": "Perplexity",
|
||||
"ph8": "PH8",
|
||||
"poe": "Poe",
|
||||
@@ -4412,7 +4350,6 @@
|
||||
"later": "Позже",
|
||||
"message": "Новая версия {{version}} готова, установить сейчас?",
|
||||
"noReleaseNotes": "Нет заметок об обновлении",
|
||||
"saveDataError": "Ошибка сохранения данных, повторите попытку",
|
||||
"title": "Обновление"
|
||||
},
|
||||
"warning": {
|
||||
|
||||
@@ -98,10 +98,6 @@ const CodeToolsPage: FC = () => {
|
||||
return m.id.includes('openai') || OPENAI_CODEX_SUPPORTED_PROVIDERS.includes(m.provider)
|
||||
}
|
||||
|
||||
if (selectedCliTool === codeTools.githubCopilotCli) {
|
||||
return false
|
||||
}
|
||||
|
||||
if (selectedCliTool === codeTools.qwenCode || selectedCliTool === codeTools.iFlowCli) {
|
||||
if (m.supported_endpoint_types) {
|
||||
return ['openai', 'openai-response'].some((type) =>
|
||||
@@ -200,7 +196,7 @@ const CodeToolsPage: FC = () => {
|
||||
}
|
||||
}
|
||||
|
||||
if (!selectedModel && selectedCliTool !== codeTools.githubCopilotCli) {
|
||||
if (!selectedModel) {
|
||||
return { isValid: false, message: t('code.model_required') }
|
||||
}
|
||||
|
||||
@@ -209,11 +205,6 @@ const CodeToolsPage: FC = () => {
|
||||
|
||||
// 准备启动环境
|
||||
const prepareLaunchEnvironment = async (): Promise<Record<string, string> | null> => {
|
||||
if (selectedCliTool === codeTools.githubCopilotCli) {
|
||||
const userEnv = parseEnvironmentVariables(environmentVariables)
|
||||
return userEnv
|
||||
}
|
||||
|
||||
if (!selectedModel) return null
|
||||
|
||||
const modelProvider = getProviderByModel(selectedModel)
|
||||
@@ -238,9 +229,7 @@ const CodeToolsPage: FC = () => {
|
||||
|
||||
// 执行启动操作
|
||||
const executeLaunch = async (env: Record<string, string>) => {
|
||||
const modelId = selectedCliTool === codeTools.githubCopilotCli ? '' : selectedModel?.id!
|
||||
|
||||
window.api.codeTools.run(selectedCliTool, modelId, currentDirectory, env, {
|
||||
window.api.codeTools.run(selectedCliTool, selectedModel?.id!, currentDirectory, env, {
|
||||
autoUpdateToLatest,
|
||||
terminal: selectedTerminal
|
||||
})
|
||||
@@ -327,12 +316,7 @@ const CodeToolsPage: FC = () => {
|
||||
banner
|
||||
style={{ borderRadius: 'var(--list-item-border-radius)' }}
|
||||
message={
|
||||
<div
|
||||
style={{
|
||||
display: 'flex',
|
||||
justifyContent: 'space-between',
|
||||
alignItems: 'center'
|
||||
}}>
|
||||
<div style={{ display: 'flex', justifyContent: 'space-between', alignItems: 'center' }}>
|
||||
<span>{t('code.bun_required_message')}</span>
|
||||
<Button
|
||||
type="primary"
|
||||
@@ -361,64 +345,46 @@ const CodeToolsPage: FC = () => {
|
||||
/>
|
||||
</SettingsItem>
|
||||
|
||||
{selectedCliTool !== codeTools.githubCopilotCli && (
|
||||
<SettingsItem>
|
||||
<div className="settings-label">
|
||||
{t('code.model')}
|
||||
{selectedCliTool === 'claude-code' && (
|
||||
<Popover
|
||||
content={
|
||||
<div style={{ width: 200 }}>
|
||||
<div style={{ marginBottom: 8, fontWeight: 500 }}>{t('code.supported_providers')}</div>
|
||||
<div
|
||||
style={{
|
||||
display: 'flex',
|
||||
flexDirection: 'column',
|
||||
gap: 8
|
||||
}}>
|
||||
{getClaudeSupportedProviders(allProviders).map((provider) => {
|
||||
return (
|
||||
<Link
|
||||
key={provider.id}
|
||||
style={{
|
||||
color: 'var(--color-text)',
|
||||
display: 'flex',
|
||||
alignItems: 'center',
|
||||
gap: 4
|
||||
}}
|
||||
to={`/settings/provider?id=${provider.id}`}>
|
||||
<ProviderLogo shape="square" src={getProviderLogo(provider.id)} size={20} />
|
||||
{getProviderLabel(provider.id)}
|
||||
<ArrowUpRight size={14} />
|
||||
</Link>
|
||||
)
|
||||
})}
|
||||
</div>
|
||||
<SettingsItem>
|
||||
<div className="settings-label">
|
||||
{t('code.model')}
|
||||
{selectedCliTool === 'claude-code' && (
|
||||
<Popover
|
||||
content={
|
||||
<div style={{ width: 200 }}>
|
||||
<div style={{ marginBottom: 8, fontWeight: 500 }}>{t('code.supported_providers')}</div>
|
||||
<div style={{ display: 'flex', flexDirection: 'column', gap: 8 }}>
|
||||
{getClaudeSupportedProviders(allProviders).map((provider) => {
|
||||
return (
|
||||
<Link
|
||||
key={provider.id}
|
||||
style={{ color: 'var(--color-text)', display: 'flex', alignItems: 'center', gap: 4 }}
|
||||
to={`/settings/provider?id=${provider.id}`}>
|
||||
<ProviderLogo shape="square" src={getProviderLogo(provider.id)} size={20} />
|
||||
{getProviderLabel(provider.id)}
|
||||
<ArrowUpRight size={14} />
|
||||
</Link>
|
||||
)
|
||||
})}
|
||||
</div>
|
||||
}
|
||||
trigger="hover"
|
||||
placement="right">
|
||||
<HelpCircle
|
||||
size={14}
|
||||
style={{
|
||||
color: 'var(--color-text-3)',
|
||||
cursor: 'pointer'
|
||||
}}
|
||||
/>
|
||||
</Popover>
|
||||
)}
|
||||
</div>
|
||||
<ModelSelector
|
||||
providers={availableProviders}
|
||||
predicate={modelPredicate}
|
||||
style={{ width: '100%' }}
|
||||
placeholder={t('code.model_placeholder')}
|
||||
value={selectedModel ? getModelUniqId(selectedModel) : undefined}
|
||||
onChange={handleModelChange}
|
||||
allowClear
|
||||
/>
|
||||
</SettingsItem>
|
||||
)}
|
||||
</div>
|
||||
}
|
||||
trigger="hover"
|
||||
placement="right">
|
||||
<HelpCircle size={14} style={{ color: 'var(--color-text-3)', cursor: 'pointer' }} />
|
||||
</Popover>
|
||||
)}
|
||||
</div>
|
||||
<ModelSelector
|
||||
providers={availableProviders}
|
||||
predicate={modelPredicate}
|
||||
style={{ width: '100%' }}
|
||||
placeholder={t('code.model_placeholder')}
|
||||
value={selectedModel ? getModelUniqId(selectedModel) : undefined}
|
||||
onChange={handleModelChange}
|
||||
allowClear
|
||||
/>
|
||||
</SettingsItem>
|
||||
|
||||
<SettingsItem>
|
||||
<div className="settings-label">{t('code.working_directory')}</div>
|
||||
@@ -437,27 +403,11 @@ const CodeToolsPage: FC = () => {
|
||||
options={directories.map((dir) => ({
|
||||
value: dir,
|
||||
label: (
|
||||
<div
|
||||
style={{
|
||||
display: 'flex',
|
||||
justifyContent: 'space-between',
|
||||
alignItems: 'center'
|
||||
}}>
|
||||
<span
|
||||
style={{
|
||||
flex: 1,
|
||||
overflow: 'hidden',
|
||||
textOverflow: 'ellipsis'
|
||||
}}>
|
||||
{dir}
|
||||
</span>
|
||||
<div style={{ display: 'flex', justifyContent: 'space-between', alignItems: 'center' }}>
|
||||
<span style={{ flex: 1, overflow: 'hidden', textOverflow: 'ellipsis' }}>{dir}</span>
|
||||
<X
|
||||
size={14}
|
||||
style={{
|
||||
marginLeft: 8,
|
||||
cursor: 'pointer',
|
||||
color: '#999'
|
||||
}}
|
||||
style={{ marginLeft: 8, cursor: 'pointer', color: '#999' }}
|
||||
onClick={(e) => handleRemoveDirectory(dir, e)}
|
||||
/>
|
||||
</div>
|
||||
@@ -479,14 +429,7 @@ const CodeToolsPage: FC = () => {
|
||||
rows={2}
|
||||
style={{ fontFamily: 'monospace' }}
|
||||
/>
|
||||
<div
|
||||
style={{
|
||||
fontSize: 12,
|
||||
color: 'var(--color-text-3)',
|
||||
marginTop: 4
|
||||
}}>
|
||||
{t('code.env_vars_help')}
|
||||
</div>
|
||||
<div style={{ fontSize: 12, color: 'var(--color-text-3)', marginTop: 4 }}>{t('code.env_vars_help')}</div>
|
||||
</SettingsItem>
|
||||
|
||||
{/* 终端选择 (macOS 和 Windows) */}
|
||||
@@ -521,12 +464,7 @@ const CodeToolsPage: FC = () => {
|
||||
selectedTerminal !== terminalApps.cmd &&
|
||||
selectedTerminal !== terminalApps.powershell &&
|
||||
selectedTerminal !== terminalApps.windowsTerminal && (
|
||||
<div
|
||||
style={{
|
||||
fontSize: 12,
|
||||
color: 'var(--color-text-3)',
|
||||
marginTop: 4
|
||||
}}>
|
||||
<div style={{ fontSize: 12, color: 'var(--color-text-3)', marginTop: 4 }}>
|
||||
{terminalCustomPaths[selectedTerminal]
|
||||
? `${t('code.custom_path')}: ${terminalCustomPaths[selectedTerminal]}`
|
||||
: t('code.custom_path_required')}
|
||||
|
||||
@@ -20,8 +20,7 @@ export const CLI_TOOLS = [
|
||||
{ value: codeTools.qwenCode, label: 'Qwen Code' },
|
||||
{ value: codeTools.geminiCli, label: 'Gemini CLI' },
|
||||
{ value: codeTools.openaiCodex, label: 'OpenAI Codex' },
|
||||
{ value: codeTools.iFlowCli, label: 'iFlow CLI' },
|
||||
{ value: codeTools.githubCopilotCli, label: 'GitHub Copilot CLI' }
|
||||
{ value: codeTools.iFlowCli, label: 'iFlow CLI' }
|
||||
]
|
||||
|
||||
export const GEMINI_SUPPORTED_PROVIDERS = ['aihubmix', 'dmxapi', 'new-api', 'cherryin']
|
||||
@@ -44,8 +43,7 @@ export const CLI_TOOL_PROVIDER_MAP: Record<string, (providers: Provider[]) => Pr
|
||||
[codeTools.qwenCode]: (providers) => providers.filter((p) => p.type.includes('openai')),
|
||||
[codeTools.openaiCodex]: (providers) =>
|
||||
providers.filter((p) => p.id === 'openai' || OPENAI_CODEX_SUPPORTED_PROVIDERS.includes(p.id)),
|
||||
[codeTools.iFlowCli]: (providers) => providers.filter((p) => p.type.includes('openai')),
|
||||
[codeTools.githubCopilotCli]: () => []
|
||||
[codeTools.iFlowCli]: (providers) => providers.filter((p) => p.type.includes('openai'))
|
||||
}
|
||||
|
||||
export const getCodeToolsApiBaseUrl = (model: Model, type: EndpointType) => {
|
||||
@@ -160,10 +158,6 @@ export const generateToolEnvironment = ({
|
||||
env.IFLOW_BASE_URL = baseUrl
|
||||
env.IFLOW_MODEL_NAME = model.id
|
||||
break
|
||||
|
||||
case codeTools.githubCopilotCli:
|
||||
env.GITHUB_TOKEN = apiKey || ''
|
||||
break
|
||||
}
|
||||
|
||||
return env
|
||||
|
||||
@@ -250,19 +250,21 @@ const MentionModelsButton: FC<Props> = ({
|
||||
// ESC关闭时的处理:删除 @ 和搜索文本
|
||||
if (action === 'esc') {
|
||||
// 只有在输入触发且有模型选择动作时才删除@字符和搜索文本
|
||||
const triggerInfo = ctx?.triggerInfo ?? triggerInfoRef.current
|
||||
if (hasModelActionRef.current && triggerInfo?.type === 'input' && triggerInfo?.position !== undefined) {
|
||||
if (
|
||||
hasModelActionRef.current &&
|
||||
ctx.triggerInfo?.type === 'input' &&
|
||||
ctx.triggerInfo?.position !== undefined
|
||||
) {
|
||||
// 基于当前光标 + 搜索词精确定位并删除,position 仅作兜底
|
||||
setText((currentText) => {
|
||||
const textArea = document.querySelector('.inputbar textarea') as HTMLTextAreaElement | null
|
||||
const caret = textArea ? (textArea.selectionStart ?? currentText.length) : currentText.length
|
||||
return removeAtSymbolAndText(currentText, caret, searchText || '', triggerInfo.position!)
|
||||
return removeAtSymbolAndText(currentText, caret, searchText || '', ctx.triggerInfo?.position!)
|
||||
})
|
||||
}
|
||||
}
|
||||
// Backspace删除@的情况(delete-symbol):
|
||||
// @ 已经被Backspace自然删除,面板关闭,不需要额外操作
|
||||
triggerInfoRef.current = undefined
|
||||
}
|
||||
})
|
||||
},
|
||||
|
||||
@@ -12,6 +12,7 @@ import { removeSvgEmptyLines } from '@renderer/utils/formats'
|
||||
import { processLatexBrackets } from '@renderer/utils/markdown'
|
||||
import { isEmpty } from 'lodash'
|
||||
import { type FC, memo, useCallback, useEffect, useMemo, useRef, useState } from 'react'
|
||||
import React from 'react'
|
||||
import { useTranslation } from 'react-i18next'
|
||||
import ReactMarkdown, { type Components, defaultUrlTransform } from 'react-markdown'
|
||||
import rehypeKatex from 'rehype-katex'
|
||||
@@ -64,6 +65,8 @@ const Markdown: FC<Props> = ({ block, postProcess }) => {
|
||||
initialText: block.content
|
||||
})
|
||||
|
||||
const isStreaming = block.status === 'streaming'
|
||||
|
||||
useEffect(() => {
|
||||
const newContent = block.content || ''
|
||||
const oldContent = prevContentRef.current || ''
|
||||
@@ -85,9 +88,8 @@ const Markdown: FC<Props> = ({ block, postProcess }) => {
|
||||
prevBlockIdRef.current = block.id
|
||||
|
||||
// 更新 stream 状态
|
||||
const isStreaming = block.status === 'streaming'
|
||||
setIsStreamDone(!isStreaming)
|
||||
}, [block.content, block.id, block.status, addChunk, reset])
|
||||
}, [block.content, block.id, block.status, addChunk, reset, isStreaming])
|
||||
|
||||
const remarkPlugins = useMemo(() => {
|
||||
const plugins = [
|
||||
@@ -130,14 +132,16 @@ const Markdown: FC<Props> = ({ block, postProcess }) => {
|
||||
table: (props: any) => <Table {...props} blockId={block.id} />,
|
||||
img: (props: any) => <ImageViewer style={{ maxWidth: 500, maxHeight: 500 }} {...props} />,
|
||||
pre: (props: any) => <pre style={{ overflow: 'visible' }} {...props} />,
|
||||
p: (props) => {
|
||||
p: SmoothFade((props) => {
|
||||
const hasImage = props?.node?.children?.some((child: any) => child.tagName === 'img')
|
||||
if (hasImage) return <div {...props} />
|
||||
return <p {...props} />
|
||||
},
|
||||
svg: MarkdownSvgRenderer
|
||||
}, isStreaming),
|
||||
svg: MarkdownSvgRenderer,
|
||||
li: SmoothFade((props) => <li {...props} />, isStreaming),
|
||||
span: SmoothFade((props) => <span {...props} />, isStreaming)
|
||||
} as Partial<Components>
|
||||
}, [block.id])
|
||||
}, [block.id, isStreaming])
|
||||
|
||||
if (/<style\b[^>]*>/i.test(messageContent)) {
|
||||
components.style = MarkdownShadowDOMRenderer as any
|
||||
@@ -168,3 +172,23 @@ const Markdown: FC<Props> = ({ block, postProcess }) => {
|
||||
}
|
||||
|
||||
export default memo(Markdown)
|
||||
|
||||
const SmoothFade = (Comp: React.ElementType, isStreaming: boolean) => {
|
||||
const handleAnimationEnd = (e: React.AnimationEvent) => {
|
||||
// 动画结束后移除类名
|
||||
if (e.animationName === 'fadeInWithBlur') {
|
||||
e.currentTarget.classList.remove('animate-[fadeInWithBlur_500ms_ease-out_forwards]')
|
||||
e.currentTarget.classList.remove('opacity-0')
|
||||
}
|
||||
}
|
||||
return ({ children, ...rest }) => {
|
||||
return (
|
||||
<Comp
|
||||
{...rest}
|
||||
className={isStreaming ? 'animate-[fadeInWithBlur_500ms_ease-out_forwards] opacity-0' : ''}
|
||||
onAnimationEnd={handleAnimationEnd}>
|
||||
{children}
|
||||
</Comp>
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
@@ -103,8 +103,7 @@ const MessageErrorInfo: React.FC<{ block: ErrorMessageBlock; message: Message }>
|
||||
const [showDetailModal, setShowDetailModal] = useState(false)
|
||||
const { t } = useTranslation()
|
||||
|
||||
const onRemoveBlock = (e: React.MouseEvent) => {
|
||||
e.stopPropagation()
|
||||
const onRemoveBlock = () => {
|
||||
setTimeoutTimer('onRemoveBlock', () => dispatch(removeBlocksThunk(message.topicId, message.id, [block.id])), 350)
|
||||
}
|
||||
|
||||
|
||||
@@ -1,27 +1,20 @@
|
||||
import { Spinner } from '@heroui/react'
|
||||
import { MessageBlockStatus, MessageBlockType, type PlaceholderMessageBlock } from '@renderer/types/newMessage'
|
||||
import { MessageBlockStatus, MessageBlockType } from '@renderer/types/newMessage'
|
||||
import { Loader } from '@renderer/ui/loader'
|
||||
import React from 'react'
|
||||
import styled from 'styled-components'
|
||||
|
||||
interface PlaceholderBlockProps {
|
||||
block: PlaceholderMessageBlock
|
||||
status: MessageBlockStatus
|
||||
type: MessageBlockType
|
||||
}
|
||||
const PlaceholderBlock: React.FC<PlaceholderBlockProps> = ({ block }) => {
|
||||
if (block.status === MessageBlockStatus.PROCESSING && block.type === MessageBlockType.UNKNOWN) {
|
||||
const PlaceholderBlock: React.FC<PlaceholderBlockProps> = ({ status, type }) => {
|
||||
if (status === MessageBlockStatus.PROCESSING && type === MessageBlockType.UNKNOWN) {
|
||||
return (
|
||||
<MessageContentLoading>
|
||||
<Spinner color="current" variant="dots" />
|
||||
</MessageContentLoading>
|
||||
<div className="-mt-2">
|
||||
<Loader variant="terminal" />
|
||||
</div>
|
||||
)
|
||||
}
|
||||
return null
|
||||
}
|
||||
const MessageContentLoading = styled.div`
|
||||
display: flex;
|
||||
flex-direction: row;
|
||||
align-items: center;
|
||||
height: 32px;
|
||||
margin-top: -5px;
|
||||
margin-bottom: 5px;
|
||||
`
|
||||
|
||||
export default React.memo(PlaceholderBlock)
|
||||
|
||||
@@ -5,7 +5,7 @@ import { useSettings } from '@renderer/hooks/useSettings'
|
||||
import { useTemporaryValue } from '@renderer/hooks/useTemporaryValue'
|
||||
import { MessageBlockStatus, type ThinkingMessageBlock } from '@renderer/types/newMessage'
|
||||
import { Collapse, message as antdMessage, Tooltip } from 'antd'
|
||||
import { memo, useCallback, useEffect, useMemo, useRef, useState } from 'react'
|
||||
import { memo, useCallback, useEffect, useMemo, useState } from 'react'
|
||||
import { useTranslation } from 'react-i18next'
|
||||
import styled from 'styled-components'
|
||||
|
||||
@@ -105,37 +105,30 @@ const ThinkingBlock: React.FC<Props> = ({ block }) => {
|
||||
const ThinkingTimeSeconds = memo(
|
||||
({ blockThinkingTime, isThinking }: { blockThinkingTime: number; isThinking: boolean }) => {
|
||||
const { t } = useTranslation()
|
||||
const [displayTime, setDisplayTime] = useState(blockThinkingTime)
|
||||
// const [thinkingTime, setThinkingTime] = useState(blockThinkingTime || 0)
|
||||
|
||||
const timer = useRef<NodeJS.Timeout | null>(null)
|
||||
// FIXME: 这里统计的和请求处统计的有一定误差
|
||||
// useEffect(() => {
|
||||
// let timer: NodeJS.Timeout | null = null
|
||||
// if (isThinking) {
|
||||
// timer = setInterval(() => {
|
||||
// setThinkingTime((prev) => prev + 100)
|
||||
// }, 100)
|
||||
// } else if (timer) {
|
||||
// // 立即清除计时器
|
||||
// clearInterval(timer)
|
||||
// timer = null
|
||||
// }
|
||||
|
||||
useEffect(() => {
|
||||
if (isThinking) {
|
||||
if (!timer.current) {
|
||||
timer.current = setInterval(() => {
|
||||
setDisplayTime((prev) => prev + 100)
|
||||
}, 100)
|
||||
}
|
||||
} else {
|
||||
if (timer.current) {
|
||||
clearInterval(timer.current)
|
||||
timer.current = null
|
||||
}
|
||||
setDisplayTime(blockThinkingTime)
|
||||
}
|
||||
// return () => {
|
||||
// if (timer) {
|
||||
// clearInterval(timer)
|
||||
// timer = null
|
||||
// }
|
||||
// }
|
||||
// }, [isThinking])
|
||||
|
||||
return () => {
|
||||
if (timer.current) {
|
||||
clearInterval(timer.current)
|
||||
timer.current = null
|
||||
}
|
||||
}
|
||||
}, [isThinking, blockThinkingTime])
|
||||
|
||||
const thinkingTimeSeconds = useMemo(
|
||||
() => ((displayTime < 1000 ? 100 : displayTime) / 1000).toFixed(1),
|
||||
[displayTime]
|
||||
)
|
||||
const thinkingTimeSeconds = useMemo(() => (blockThinkingTime / 1000).toFixed(1), [blockThinkingTime])
|
||||
|
||||
return isThinking
|
||||
? t('chat.thinking', {
|
||||
|
||||
@@ -235,12 +235,13 @@ describe('ThinkingBlock', () => {
|
||||
renderThinkingBlock(thinkingBlock)
|
||||
|
||||
const activeTimeText = getThinkingTimeText()
|
||||
expect(activeTimeText).toHaveTextContent('1.0s')
|
||||
expect(activeTimeText).toHaveTextContent('Thinking...')
|
||||
})
|
||||
|
||||
it('should handle extreme thinking times correctly', () => {
|
||||
const testCases = [
|
||||
{ thinking_millsec: 0, expectedTime: '0.1s' }, // New logic: values < 1000ms display as 0.1s
|
||||
{ thinking_millsec: 0, expectedTime: '0.0s' },
|
||||
{ thinking_millsec: 86400000, expectedTime: '86400.0s' }, // 1 day
|
||||
{ thinking_millsec: 259200000, expectedTime: '259200.0s' } // 3 days
|
||||
]
|
||||
|
||||
@@ -215,15 +215,7 @@ const MessageBlockRenderer: React.FC<Props> = ({ blocks, message }) => {
|
||||
})}
|
||||
{isProcessing && (
|
||||
<AnimatedBlockWrapper key="message-loading-placeholder" enableAnimation={true}>
|
||||
<PlaceholderBlock
|
||||
block={{
|
||||
id: `loading-${message.id}`,
|
||||
messageId: message.id,
|
||||
type: MessageBlockType.UNKNOWN,
|
||||
status: MessageBlockStatus.PROCESSING,
|
||||
createdAt: new Date().toISOString()
|
||||
}}
|
||||
/>
|
||||
<PlaceholderBlock type={MessageBlockType.UNKNOWN} status={MessageBlockStatus.PROCESSING} />
|
||||
</AnimatedBlockWrapper>
|
||||
)}
|
||||
</AnimatePresence>
|
||||
|
||||
@@ -1,6 +1,4 @@
|
||||
import { cn } from '@heroui/react'
|
||||
import { loggerService } from '@logger'
|
||||
import HorizontalScrollContainer from '@renderer/components/HorizontalScrollContainer'
|
||||
import Scrollbar from '@renderer/components/Scrollbar'
|
||||
import { useMessageEditing } from '@renderer/context/MessageEditingContext'
|
||||
import { useAssistant } from '@renderer/hooks/useAssistant'
|
||||
@@ -227,28 +225,20 @@ const MessageItem: FC<Props> = ({
|
||||
</MessageErrorBoundary>
|
||||
</MessageContentContainer>
|
||||
{showMenubar && (
|
||||
<MessageFooter className="MessageFooter">
|
||||
<HorizontalScrollContainer
|
||||
classNames={{
|
||||
content: cn(
|
||||
'flex-1 items-center justify-between',
|
||||
isLastMessage && messageStyle === 'plain' ? 'flex-row-reverse' : 'flex-row'
|
||||
)
|
||||
}}>
|
||||
<MessageMenubar
|
||||
message={message}
|
||||
assistant={assistant}
|
||||
model={model}
|
||||
index={index}
|
||||
topic={topic}
|
||||
isLastMessage={isLastMessage}
|
||||
isAssistantMessage={isAssistantMessage}
|
||||
isGrouped={isGrouped}
|
||||
messageContainerRef={messageContainerRef as React.RefObject<HTMLDivElement>}
|
||||
setModel={setModel}
|
||||
onUpdateUseful={onUpdateUseful}
|
||||
/>
|
||||
</HorizontalScrollContainer>
|
||||
<MessageFooter className="MessageFooter" $isLastMessage={isLastMessage} $messageStyle={messageStyle}>
|
||||
<MessageMenubar
|
||||
message={message}
|
||||
assistant={assistant}
|
||||
model={model}
|
||||
index={index}
|
||||
topic={topic}
|
||||
isLastMessage={isLastMessage}
|
||||
isAssistantMessage={isAssistantMessage}
|
||||
isGrouped={isGrouped}
|
||||
messageContainerRef={messageContainerRef as React.RefObject<HTMLDivElement>}
|
||||
setModel={setModel}
|
||||
onUpdateUseful={onUpdateUseful}
|
||||
/>
|
||||
</MessageFooter>
|
||||
)}
|
||||
</>
|
||||
@@ -292,8 +282,10 @@ const MessageContentContainer = styled(Scrollbar)`
|
||||
overflow-y: auto;
|
||||
`
|
||||
|
||||
const MessageFooter = styled.div`
|
||||
const MessageFooter = styled.div<{ $isLastMessage: boolean; $messageStyle: 'plain' | 'bubble' }>`
|
||||
display: flex;
|
||||
flex-direction: ${({ $isLastMessage, $messageStyle }) =>
|
||||
$isLastMessage && $messageStyle === 'plain' ? 'row-reverse' : 'row'};
|
||||
align-items: center;
|
||||
justify-content: space-between;
|
||||
gap: 10px;
|
||||
|
||||
@@ -337,29 +337,17 @@ const GroupContainer = styled.div`
|
||||
const GridContainer = styled(Scrollbar)<{ $count: number; $gridColumns: number }>`
|
||||
width: 100%;
|
||||
display: grid;
|
||||
overflow-y: visible;
|
||||
gap: 16px;
|
||||
|
||||
&.horizontal {
|
||||
padding-bottom: 4px;
|
||||
grid-template-columns: repeat(${({ $count }) => $count}, minmax(420px, 1fr));
|
||||
overflow-y: hidden;
|
||||
overflow-x: auto;
|
||||
&::-webkit-scrollbar {
|
||||
height: 6px;
|
||||
}
|
||||
&::-webkit-scrollbar-thumb {
|
||||
background: var(--color-scrollbar-thumb);
|
||||
border-radius: var(--scrollbar-thumb-radius);
|
||||
}
|
||||
&::-webkit-scrollbar-thumb:hover {
|
||||
background: var(--color-scrollbar-thumb-hover);
|
||||
}
|
||||
}
|
||||
&.fold,
|
||||
&.vertical {
|
||||
grid-template-columns: repeat(1, minmax(0, 1fr));
|
||||
gap: 8px;
|
||||
overflow: hidden;
|
||||
}
|
||||
&.grid {
|
||||
grid-template-columns: repeat(
|
||||
@@ -367,15 +355,11 @@ const GridContainer = styled(Scrollbar)<{ $count: number; $gridColumns: number }
|
||||
minmax(0, 1fr)
|
||||
);
|
||||
grid-template-rows: auto;
|
||||
overflow-y: auto;
|
||||
overflow-x: hidden;
|
||||
}
|
||||
|
||||
&.multi-select-mode {
|
||||
grid-template-columns: repeat(1, minmax(0, 1fr));
|
||||
gap: 10px;
|
||||
overflow-y: auto;
|
||||
overflow-x: hidden;
|
||||
.grid {
|
||||
height: auto;
|
||||
}
|
||||
@@ -401,7 +385,7 @@ interface MessageWrapperProps {
|
||||
const MessageWrapper = styled.div<MessageWrapperProps>`
|
||||
&.horizontal {
|
||||
padding: 1px;
|
||||
/* overflow-y: auto; */
|
||||
overflow-y: auto;
|
||||
.message {
|
||||
height: 100%;
|
||||
border: 0.5px solid var(--color-border);
|
||||
@@ -421,9 +405,8 @@ const MessageWrapper = styled.div<MessageWrapperProps>`
|
||||
}
|
||||
}
|
||||
&.grid {
|
||||
display: block;
|
||||
height: 300px;
|
||||
overflow: hidden;
|
||||
overflow-y: hidden;
|
||||
border: 0.5px solid var(--color-border);
|
||||
border-radius: 10px;
|
||||
cursor: pointer;
|
||||
|
||||
@@ -1,13 +1,13 @@
|
||||
import { KnowledgeSearchToolInput, KnowledgeSearchToolOutput } from '@renderer/aiCore/tools/KnowledgeSearchTool'
|
||||
import Spinner from '@renderer/components/Spinner'
|
||||
import i18n from '@renderer/i18n'
|
||||
import { NormalToolResponse } from '@renderer/types'
|
||||
import { MCPToolResponse } from '@renderer/types'
|
||||
import { Typography } from 'antd'
|
||||
import { FileSearch } from 'lucide-react'
|
||||
import styled from 'styled-components'
|
||||
|
||||
const { Text } = Typography
|
||||
export function MessageKnowledgeSearchToolTitle({ toolResponse }: { toolResponse: NormalToolResponse }) {
|
||||
export function MessageKnowledgeSearchToolTitle({ toolResponse }: { toolResponse: MCPToolResponse }) {
|
||||
const toolInput = toolResponse.arguments as KnowledgeSearchToolInput
|
||||
const toolOutput = toolResponse.response as KnowledgeSearchToolOutput
|
||||
|
||||
@@ -28,7 +28,7 @@ export function MessageKnowledgeSearchToolTitle({ toolResponse }: { toolResponse
|
||||
)
|
||||
}
|
||||
|
||||
export function MessageKnowledgeSearchToolBody({ toolResponse }: { toolResponse: NormalToolResponse }) {
|
||||
export function MessageKnowledgeSearchToolBody({ toolResponse }: { toolResponse: MCPToolResponse }) {
|
||||
const toolOutput = toolResponse.response as KnowledgeSearchToolOutput
|
||||
|
||||
return toolResponse.status === 'done' ? (
|
||||
|
||||
@@ -4,7 +4,6 @@ import { useCodeStyle } from '@renderer/context/CodeStyleProvider'
|
||||
import { useMCPServers } from '@renderer/hooks/useMCPServers'
|
||||
import { useSettings } from '@renderer/hooks/useSettings'
|
||||
import { useTimer } from '@renderer/hooks/useTimer'
|
||||
import { MCPToolResponse } from '@renderer/types'
|
||||
import type { ToolMessageBlock } from '@renderer/types/newMessage'
|
||||
import { isToolAutoApproved } from '@renderer/utils/mcp-tools'
|
||||
import { cancelToolAction, confirmToolAction } from '@renderer/utils/userConfirmation'
|
||||
@@ -58,7 +57,7 @@ const MessageMcpTool: FC<Props> = ({ block }) => {
|
||||
const [progress, setProgress] = useState<number>(0)
|
||||
const { setTimeoutTimer } = useTimer()
|
||||
|
||||
const toolResponse = block.metadata?.rawMcpToolResponse as MCPToolResponse
|
||||
const toolResponse = block.metadata?.rawMcpToolResponse
|
||||
|
||||
const { id, tool, status, response } = toolResponse!
|
||||
const isPending = status === 'pending'
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
import { MemorySearchToolInput, MemorySearchToolOutput } from '@renderer/aiCore/tools/MemorySearchTool'
|
||||
import Spinner from '@renderer/components/Spinner'
|
||||
import { NormalToolResponse } from '@renderer/types'
|
||||
import { MCPToolResponse } from '@renderer/types'
|
||||
import { Typography } from 'antd'
|
||||
import { ChevronRight } from 'lucide-react'
|
||||
import { useTranslation } from 'react-i18next'
|
||||
@@ -8,7 +8,7 @@ import styled from 'styled-components'
|
||||
|
||||
const { Text } = Typography
|
||||
|
||||
export const MessageMemorySearchToolTitle = ({ toolResponse }: { toolResponse: NormalToolResponse }) => {
|
||||
export const MessageMemorySearchToolTitle = ({ toolResponse }: { toolResponse: MCPToolResponse }) => {
|
||||
const { t } = useTranslation()
|
||||
const toolInput = toolResponse.arguments as MemorySearchToolInput
|
||||
const toolOutput = toolResponse.response as MemorySearchToolOutput
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
import { NormalToolResponse } from '@renderer/types'
|
||||
import { MCPToolResponse } from '@renderer/types'
|
||||
import type { ToolMessageBlock } from '@renderer/types/newMessage'
|
||||
import { Collapse } from 'antd'
|
||||
|
||||
@@ -11,9 +11,8 @@ interface Props {
|
||||
}
|
||||
const prefix = 'builtin_'
|
||||
|
||||
const ChooseTool = (toolResponse: NormalToolResponse): { label: React.ReactNode; body: React.ReactNode } | null => {
|
||||
const ChooseTool = (toolResponse: MCPToolResponse): { label: React.ReactNode; body: React.ReactNode } | null => {
|
||||
let toolName = toolResponse.tool.name
|
||||
const toolType = toolResponse.tool.type
|
||||
if (toolName.startsWith(prefix)) {
|
||||
toolName = toolName.slice(prefix.length)
|
||||
}
|
||||
@@ -21,12 +20,10 @@ const ChooseTool = (toolResponse: NormalToolResponse): { label: React.ReactNode;
|
||||
switch (toolName) {
|
||||
case 'web_search':
|
||||
case 'web_search_preview':
|
||||
return toolType === 'provider'
|
||||
? null
|
||||
: {
|
||||
label: <MessageWebSearchToolTitle toolResponse={toolResponse} />,
|
||||
body: null
|
||||
}
|
||||
return {
|
||||
label: <MessageWebSearchToolTitle toolResponse={toolResponse} />,
|
||||
body: null
|
||||
}
|
||||
case 'knowledge_search':
|
||||
return {
|
||||
label: <MessageKnowledgeSearchToolTitle toolResponse={toolResponse} />,
|
||||
@@ -44,7 +41,7 @@ const ChooseTool = (toolResponse: NormalToolResponse): { label: React.ReactNode;
|
||||
|
||||
export default function MessageTool({ block }: Props) {
|
||||
// FIXME: 语义错误,这里已经不是 MCP tool 了,更改rawMcpToolResponse需要改用户数据, 所以暂时保留
|
||||
const toolResponse = block.metadata?.rawMcpToolResponse as NormalToolResponse
|
||||
const toolResponse = block.metadata?.rawMcpToolResponse
|
||||
|
||||
if (!toolResponse) return null
|
||||
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
import { WebSearchToolInput, WebSearchToolOutput } from '@renderer/aiCore/tools/WebSearchTool'
|
||||
import Spinner from '@renderer/components/Spinner'
|
||||
import { NormalToolResponse } from '@renderer/types'
|
||||
import { MCPToolResponse } from '@renderer/types'
|
||||
import { Typography } from 'antd'
|
||||
import { Search } from 'lucide-react'
|
||||
import { useTranslation } from 'react-i18next'
|
||||
@@ -8,7 +8,7 @@ import styled from 'styled-components'
|
||||
|
||||
const { Text } = Typography
|
||||
|
||||
export const MessageWebSearchToolTitle = ({ toolResponse }: { toolResponse: NormalToolResponse }) => {
|
||||
export const MessageWebSearchToolTitle = ({ toolResponse }: { toolResponse: MCPToolResponse }) => {
|
||||
const { t } = useTranslation()
|
||||
const toolInput = toolResponse.arguments as WebSearchToolInput
|
||||
const toolOutput = toolResponse.response as WebSearchToolOutput
|
||||
|
||||
@@ -525,11 +525,6 @@ const Topics: FC<Props> = ({ assistant: _assistant, activeTopic, setActiveTopic,
|
||||
onContextMenu={() => setTargetTopic(topic)}
|
||||
className={classNames(isActive ? 'active' : '', singlealone ? 'singlealone' : '')}
|
||||
onClick={editingTopicId === topic.id && topicEdit.isEditing ? undefined : () => onSwitchTopic(topic)}
|
||||
onDoubleClick={() => {
|
||||
if (editingTopicId === topic.id && topicEdit.isEditing) return
|
||||
setEditingTopicId(topic.id)
|
||||
topicEdit.startEdit(topic.name)
|
||||
}}
|
||||
style={{
|
||||
borderRadius,
|
||||
cursor: editingTopicId === topic.id && topicEdit.isEditing ? 'default' : 'pointer'
|
||||
@@ -546,7 +541,13 @@ const Topics: FC<Props> = ({ assistant: _assistant, activeTopic, setActiveTopic,
|
||||
onClick={(e) => e.stopPropagation()}
|
||||
/>
|
||||
) : (
|
||||
<TopicName className={getTopicNameClassName()} title={topicName}>
|
||||
<TopicName
|
||||
className={getTopicNameClassName()}
|
||||
title={topicName}
|
||||
onDoubleClick={() => {
|
||||
setEditingTopicId(topic.id)
|
||||
topicEdit.startEdit(topic.name)
|
||||
}}>
|
||||
{topicName}
|
||||
</TopicName>
|
||||
)}
|
||||
@@ -570,8 +571,7 @@ const Topics: FC<Props> = ({ assistant: _assistant, activeTopic, setActiveTopic,
|
||||
} else {
|
||||
handleDeleteClick(topic.id, e)
|
||||
}
|
||||
}}
|
||||
onDoubleClick={(e) => e.stopPropagation()}>
|
||||
}}>
|
||||
{deletingTopicId === topic.id ? (
|
||||
<DeleteIcon size={14} color="var(--color-error)" style={{ pointerEvents: 'none' }} />
|
||||
) : (
|
||||
|
||||
@@ -386,7 +386,6 @@ const Container = styled.div`
|
||||
border-radius: var(--list-item-border-radius);
|
||||
border: 0.5px solid transparent;
|
||||
width: calc(var(--assistants-width) - 20px);
|
||||
cursor: pointer;
|
||||
|
||||
&:hover {
|
||||
background-color: var(--color-list-item-hover);
|
||||
|
||||
@@ -1,6 +1,4 @@
|
||||
import { SyncOutlined } from '@ant-design/icons'
|
||||
import { useDisclosure } from '@heroui/react'
|
||||
import UpdateDialog from '@renderer/components/UpdateDialog'
|
||||
import { useRuntime } from '@renderer/hooks/useRuntime'
|
||||
import { useSettings } from '@renderer/hooks/useSettings'
|
||||
import { Button } from 'antd'
|
||||
@@ -12,7 +10,6 @@ const UpdateAppButton: FC = () => {
|
||||
const { update } = useRuntime()
|
||||
const { autoCheckUpdate } = useSettings()
|
||||
const { t } = useTranslation()
|
||||
const { isOpen, onOpen, onClose } = useDisclosure()
|
||||
|
||||
if (!update) {
|
||||
return null
|
||||
@@ -26,15 +23,13 @@ const UpdateAppButton: FC = () => {
|
||||
<Container>
|
||||
<UpdateButton
|
||||
className="nodrag"
|
||||
onClick={onOpen}
|
||||
onClick={() => window.api.showUpdateDialog()}
|
||||
icon={<SyncOutlined />}
|
||||
color="orange"
|
||||
variant="outlined"
|
||||
size="small">
|
||||
{t('button.update_available')}
|
||||
</UpdateButton>
|
||||
|
||||
<UpdateDialog isOpen={isOpen} onClose={onClose} releaseInfo={update.info || null} />
|
||||
</Container>
|
||||
)
|
||||
}
|
||||
|
||||
@@ -14,7 +14,6 @@ import styled from 'styled-components'
|
||||
|
||||
// Tab 模式下新的页面壳,不再直接创建 WebView,而是依赖全局 MinAppTabsPool
|
||||
import MinimalToolbar from './components/MinimalToolbar'
|
||||
import WebviewSearch from './components/WebviewSearch'
|
||||
|
||||
const logger = loggerService.withContext('MinAppPage')
|
||||
|
||||
@@ -185,7 +184,6 @@ const MinAppPage: FC = () => {
|
||||
onOpenDevTools={handleOpenDevTools}
|
||||
/>
|
||||
</ToolbarWrapper>
|
||||
<WebviewSearch webviewRef={webviewRef} isWebviewReady={isReady} appId={app.id} />
|
||||
{!isReady && (
|
||||
<LoadingMask>
|
||||
<Avatar src={app.logo} size={60} style={{ border: '1px solid var(--color-border)' }} />
|
||||
|
||||
@@ -1,298 +0,0 @@
|
||||
import { Button, Input } from '@heroui/react'
|
||||
import { loggerService } from '@logger'
|
||||
import type { WebviewTag } from 'electron'
|
||||
import { ChevronDown, ChevronUp, X } from 'lucide-react'
|
||||
import { FC, useCallback, useEffect, useRef, useState } from 'react'
|
||||
import { useTranslation } from 'react-i18next'
|
||||
|
||||
type FoundInPageResult = Electron.FoundInPageResult
|
||||
|
||||
interface WebviewSearchProps {
|
||||
webviewRef: React.RefObject<WebviewTag | null>
|
||||
isWebviewReady: boolean
|
||||
appId: string
|
||||
}
|
||||
|
||||
const logger = loggerService.withContext('WebviewSearch')
|
||||
|
||||
const WebviewSearch: FC<WebviewSearchProps> = ({ webviewRef, isWebviewReady, appId }) => {
|
||||
const { t } = useTranslation()
|
||||
const [isVisible, setIsVisible] = useState(false)
|
||||
const [query, setQuery] = useState('')
|
||||
const [matchCount, setMatchCount] = useState(0)
|
||||
const [activeIndex, setActiveIndex] = useState(0)
|
||||
const [currentWebview, setCurrentWebview] = useState<WebviewTag | null>(null)
|
||||
const inputRef = useRef<HTMLInputElement>(null)
|
||||
const focusFrameRef = useRef<number | null>(null)
|
||||
const lastAppIdRef = useRef<string>(appId)
|
||||
const attachedWebviewRef = useRef<WebviewTag | null>(null)
|
||||
|
||||
const focusInput = useCallback(() => {
|
||||
if (focusFrameRef.current !== null) {
|
||||
window.cancelAnimationFrame(focusFrameRef.current)
|
||||
focusFrameRef.current = null
|
||||
}
|
||||
focusFrameRef.current = window.requestAnimationFrame(() => {
|
||||
inputRef.current?.focus()
|
||||
inputRef.current?.select()
|
||||
})
|
||||
}, [])
|
||||
|
||||
const resetSearchState = useCallback((options?: { keepQuery?: boolean }) => {
|
||||
if (!options?.keepQuery) {
|
||||
setQuery('')
|
||||
}
|
||||
setMatchCount(0)
|
||||
setActiveIndex(0)
|
||||
}, [])
|
||||
|
||||
const stopSearch = useCallback(() => {
|
||||
const target = webviewRef.current ?? attachedWebviewRef.current
|
||||
if (!target) return
|
||||
try {
|
||||
target.stopFindInPage('clearSelection')
|
||||
} catch (error) {
|
||||
logger.error('stopFindInPage failed', { error })
|
||||
}
|
||||
}, [webviewRef])
|
||||
|
||||
const closeSearch = useCallback(() => {
|
||||
setIsVisible(false)
|
||||
stopSearch()
|
||||
resetSearchState({ keepQuery: true })
|
||||
}, [resetSearchState, stopSearch])
|
||||
|
||||
const performSearch = useCallback(
|
||||
(text: string, options?: Electron.FindInPageOptions) => {
|
||||
const target = webviewRef.current ?? attachedWebviewRef.current
|
||||
if (!target) {
|
||||
logger.debug('Skip performSearch: webview not attached')
|
||||
return
|
||||
}
|
||||
if (!text) {
|
||||
stopSearch()
|
||||
resetSearchState({ keepQuery: true })
|
||||
return
|
||||
}
|
||||
try {
|
||||
target.findInPage(text, options)
|
||||
} catch (error) {
|
||||
logger.error('findInPage failed', { error })
|
||||
window.toast?.error(t('common.error'))
|
||||
}
|
||||
},
|
||||
[resetSearchState, stopSearch, t, webviewRef]
|
||||
)
|
||||
|
||||
const handleFoundInPage = useCallback((event: Event & { result?: FoundInPageResult }) => {
|
||||
if (!event.result) return
|
||||
|
||||
const { activeMatchOrdinal, matches } = event.result
|
||||
|
||||
if (matches !== undefined) {
|
||||
setMatchCount(matches)
|
||||
}
|
||||
|
||||
if (activeMatchOrdinal !== undefined) {
|
||||
setActiveIndex(activeMatchOrdinal)
|
||||
}
|
||||
}, [])
|
||||
|
||||
const openSearch = useCallback(() => {
|
||||
if (!isWebviewReady) {
|
||||
logger.debug('Skip openSearch: webview not ready')
|
||||
return
|
||||
}
|
||||
setIsVisible(true)
|
||||
focusInput()
|
||||
}, [focusInput, isWebviewReady])
|
||||
|
||||
const goToNext = useCallback(() => {
|
||||
if (!query) return
|
||||
performSearch(query, { forward: true, findNext: true })
|
||||
}, [performSearch, query])
|
||||
|
||||
const goToPrevious = useCallback(() => {
|
||||
if (!query) return
|
||||
performSearch(query, { forward: false, findNext: true })
|
||||
}, [performSearch, query])
|
||||
|
||||
useEffect(() => {
|
||||
const nextWebview = webviewRef.current ?? null
|
||||
if (currentWebview === nextWebview) return
|
||||
setCurrentWebview(nextWebview)
|
||||
}, [currentWebview, webviewRef])
|
||||
|
||||
useEffect(() => {
|
||||
const target = currentWebview
|
||||
if (!target) {
|
||||
attachedWebviewRef.current = null
|
||||
return
|
||||
}
|
||||
|
||||
const handle = handleFoundInPage
|
||||
attachedWebviewRef.current = target
|
||||
target.addEventListener('found-in-page', handle)
|
||||
|
||||
return () => {
|
||||
target.removeEventListener('found-in-page', handle)
|
||||
if (attachedWebviewRef.current === target) {
|
||||
try {
|
||||
target.stopFindInPage('clearSelection')
|
||||
} catch (error) {
|
||||
logger.error('stopFindInPage failed', { error })
|
||||
}
|
||||
attachedWebviewRef.current = null
|
||||
}
|
||||
}
|
||||
}, [currentWebview, handleFoundInPage])
|
||||
|
||||
useEffect(() => {
|
||||
if (!isVisible) return
|
||||
focusInput()
|
||||
}, [focusInput, isVisible])
|
||||
|
||||
useEffect(() => {
|
||||
if (!isVisible) return
|
||||
if (!query) {
|
||||
performSearch('')
|
||||
return
|
||||
}
|
||||
performSearch(query)
|
||||
}, [currentWebview, isVisible, performSearch, query])
|
||||
|
||||
useEffect(() => {
|
||||
const handleKeydown = (event: KeyboardEvent) => {
|
||||
if ((event.ctrlKey || event.metaKey) && event.key.toLowerCase() === 'f') {
|
||||
event.preventDefault()
|
||||
openSearch()
|
||||
return
|
||||
}
|
||||
|
||||
if (!isVisible) return
|
||||
|
||||
if (event.key === 'Escape') {
|
||||
event.preventDefault()
|
||||
closeSearch()
|
||||
return
|
||||
}
|
||||
|
||||
if (event.key === 'Enter') {
|
||||
event.preventDefault()
|
||||
if (event.shiftKey) {
|
||||
goToPrevious()
|
||||
} else {
|
||||
goToNext()
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
window.addEventListener('keydown', handleKeydown, true)
|
||||
return () => {
|
||||
window.removeEventListener('keydown', handleKeydown, true)
|
||||
}
|
||||
}, [closeSearch, goToNext, goToPrevious, isVisible, openSearch])
|
||||
|
||||
useEffect(() => {
|
||||
if (!isWebviewReady) {
|
||||
setIsVisible(false)
|
||||
resetSearchState()
|
||||
stopSearch()
|
||||
return
|
||||
}
|
||||
}, [isWebviewReady, resetSearchState, stopSearch])
|
||||
|
||||
useEffect(() => {
|
||||
if (!appId) return
|
||||
if (lastAppIdRef.current === appId) return
|
||||
lastAppIdRef.current = appId
|
||||
setIsVisible(false)
|
||||
resetSearchState()
|
||||
stopSearch()
|
||||
}, [appId, resetSearchState, stopSearch])
|
||||
|
||||
useEffect(() => {
|
||||
return () => {
|
||||
stopSearch()
|
||||
if (focusFrameRef.current !== null) {
|
||||
window.cancelAnimationFrame(focusFrameRef.current)
|
||||
focusFrameRef.current = null
|
||||
}
|
||||
}
|
||||
}, [stopSearch])
|
||||
|
||||
if (!isVisible) {
|
||||
return null
|
||||
}
|
||||
|
||||
const matchLabel = `${matchCount > 0 ? Math.max(activeIndex, 1) : 0}/${matchCount}`
|
||||
const noResultTitle = matchCount === 0 && query ? t('common.no_results') : undefined
|
||||
const disableNavigation = !query || matchCount === 0
|
||||
|
||||
return (
|
||||
<div className="pointer-events-auto absolute top-3 right-3 z-50 flex items-center gap-2 rounded-xl border border-default-200 bg-background px-2 py-1 shadow-lg">
|
||||
<Input
|
||||
ref={inputRef}
|
||||
autoFocus
|
||||
value={query}
|
||||
onValueChange={setQuery}
|
||||
spellCheck={'false'}
|
||||
placeholder={t('common.search')}
|
||||
size="sm"
|
||||
radius="sm"
|
||||
variant="flat"
|
||||
classNames={{
|
||||
base: 'w-[240px]',
|
||||
inputWrapper:
|
||||
'h-8 bg-transparent border border-transparent shadow-none hover:border-transparent hover:bg-transparent focus:border-transparent data-[hover=true]:border-transparent data-[focus=true]:border-transparent data-[focus-visible=true]:outline-none data-[focus-visible=true]:ring-0',
|
||||
input: 'text-small focus:outline-none focus-visible:outline-none',
|
||||
innerWrapper: 'gap-0'
|
||||
}}
|
||||
/>
|
||||
<span
|
||||
className="min-w-[44px] text-center text-default-500 text-small tabular-nums"
|
||||
title={noResultTitle}
|
||||
role="status"
|
||||
aria-live="polite"
|
||||
aria-atomic="true">
|
||||
{matchLabel}
|
||||
</span>
|
||||
<div className="h-4 w-px bg-default-200" />
|
||||
<Button
|
||||
size="sm"
|
||||
variant="light"
|
||||
radius="full"
|
||||
isIconOnly
|
||||
onPress={goToPrevious}
|
||||
isDisabled={disableNavigation}
|
||||
aria-label="Previous match"
|
||||
className="text-default-500 hover:text-default-900">
|
||||
<ChevronUp size={16} />
|
||||
</Button>
|
||||
<Button
|
||||
size="sm"
|
||||
variant="light"
|
||||
radius="full"
|
||||
isIconOnly
|
||||
onPress={goToNext}
|
||||
isDisabled={disableNavigation}
|
||||
aria-label="Next match"
|
||||
className="text-default-500 hover:text-default-900">
|
||||
<ChevronDown size={16} />
|
||||
</Button>
|
||||
<div className="h-4 w-px bg-default-200" />
|
||||
<Button
|
||||
size="sm"
|
||||
variant="light"
|
||||
radius="full"
|
||||
isIconOnly
|
||||
onPress={closeSearch}
|
||||
aria-label={t('common.close')}
|
||||
className="text-default-500 hover:text-default-900">
|
||||
<X size={16} />
|
||||
</Button>
|
||||
</div>
|
||||
)
|
||||
}
|
||||
|
||||
export default WebviewSearch
|
||||
@@ -1,237 +0,0 @@
|
||||
import { act, fireEvent, render, screen, waitFor } from '@testing-library/react'
|
||||
import userEvent from '@testing-library/user-event'
|
||||
import type { WebviewTag } from 'electron'
|
||||
import { afterAll, afterEach, beforeAll, beforeEach, describe, expect, it, vi } from 'vitest'
|
||||
|
||||
import WebviewSearch from '../WebviewSearch'
|
||||
|
||||
const translations: Record<string, string> = {
|
||||
'common.close': 'Close',
|
||||
'common.error': 'Error',
|
||||
'common.no_results': 'No results',
|
||||
'common.search': 'Search'
|
||||
}
|
||||
|
||||
vi.mock('react-i18next', () => ({
|
||||
useTranslation: () => ({
|
||||
t: (key: string) => translations[key] ?? key
|
||||
})
|
||||
}))
|
||||
|
||||
const createWebviewMock = () => {
|
||||
const listeners = new Map<string, Set<(event: Event & { result?: Electron.FoundInPageResult }) => void>>()
|
||||
const findInPageMock = vi.fn()
|
||||
const stopFindInPageMock = vi.fn()
|
||||
const webview = {
|
||||
addEventListener: vi.fn(
|
||||
(type: string, listener: (event: Event & { result?: Electron.FoundInPageResult }) => void) => {
|
||||
if (!listeners.has(type)) {
|
||||
listeners.set(type, new Set())
|
||||
}
|
||||
listeners.get(type)!.add(listener)
|
||||
}
|
||||
),
|
||||
removeEventListener: vi.fn(
|
||||
(type: string, listener: (event: Event & { result?: Electron.FoundInPageResult }) => void) => {
|
||||
listeners.get(type)?.delete(listener)
|
||||
}
|
||||
),
|
||||
findInPage: findInPageMock as unknown as WebviewTag['findInPage'],
|
||||
stopFindInPage: stopFindInPageMock as unknown as WebviewTag['stopFindInPage']
|
||||
} as unknown as WebviewTag
|
||||
|
||||
const emit = (type: string, result?: Electron.FoundInPageResult) => {
|
||||
listeners.get(type)?.forEach((listener) => {
|
||||
const event = new CustomEvent(type) as Event & { result?: Electron.FoundInPageResult }
|
||||
event.result = result
|
||||
listener(event)
|
||||
})
|
||||
}
|
||||
|
||||
return {
|
||||
emit,
|
||||
findInPageMock,
|
||||
stopFindInPageMock,
|
||||
webview
|
||||
}
|
||||
}
|
||||
|
||||
const openSearchOverlay = async () => {
|
||||
await act(async () => {
|
||||
window.dispatchEvent(new KeyboardEvent('keydown', { key: 'f', ctrlKey: true }))
|
||||
})
|
||||
await waitFor(() => {
|
||||
expect(screen.getByPlaceholderText('Search')).toBeInTheDocument()
|
||||
})
|
||||
}
|
||||
|
||||
const originalRAF = window.requestAnimationFrame
|
||||
const originalCAF = window.cancelAnimationFrame
|
||||
|
||||
const requestAnimationFrameMock = vi.fn((callback: FrameRequestCallback) => {
|
||||
callback(0)
|
||||
return 1
|
||||
})
|
||||
const cancelAnimationFrameMock = vi.fn()
|
||||
|
||||
beforeAll(() => {
|
||||
Object.defineProperty(window, 'requestAnimationFrame', {
|
||||
value: requestAnimationFrameMock,
|
||||
writable: true
|
||||
})
|
||||
Object.defineProperty(window, 'cancelAnimationFrame', {
|
||||
value: cancelAnimationFrameMock,
|
||||
writable: true
|
||||
})
|
||||
})
|
||||
|
||||
afterAll(() => {
|
||||
Object.defineProperty(window, 'requestAnimationFrame', {
|
||||
value: originalRAF
|
||||
})
|
||||
Object.defineProperty(window, 'cancelAnimationFrame', {
|
||||
value: originalCAF
|
||||
})
|
||||
})
|
||||
|
||||
describe('WebviewSearch', () => {
|
||||
const toastMock = {
|
||||
error: vi.fn(),
|
||||
success: vi.fn(),
|
||||
warning: vi.fn(),
|
||||
info: vi.fn(),
|
||||
addToast: vi.fn()
|
||||
}
|
||||
|
||||
beforeEach(() => {
|
||||
Object.assign(window, { toast: toastMock })
|
||||
})
|
||||
|
||||
afterEach(() => {
|
||||
vi.clearAllMocks()
|
||||
})
|
||||
|
||||
it('opens the search overlay with keyboard shortcut', async () => {
|
||||
const { webview } = createWebviewMock()
|
||||
const webviewRef = { current: webview } as React.RefObject<WebviewTag | null>
|
||||
|
||||
render(<WebviewSearch webviewRef={webviewRef} isWebviewReady appId="app-1" />)
|
||||
|
||||
expect(screen.queryByPlaceholderText('Search')).not.toBeInTheDocument()
|
||||
|
||||
await openSearchOverlay()
|
||||
|
||||
expect(screen.getByPlaceholderText('Search')).toBeInTheDocument()
|
||||
})
|
||||
|
||||
it('performs searches and navigates between results', async () => {
|
||||
const { emit, findInPageMock, webview } = createWebviewMock()
|
||||
const webviewRef = { current: webview } as React.RefObject<WebviewTag | null>
|
||||
const user = userEvent.setup()
|
||||
|
||||
render(<WebviewSearch webviewRef={webviewRef} isWebviewReady appId="app-1" />)
|
||||
await openSearchOverlay()
|
||||
|
||||
const input = screen.getByRole('textbox')
|
||||
await user.type(input, 'Cherry')
|
||||
|
||||
await waitFor(() => {
|
||||
expect(findInPageMock).toHaveBeenCalledWith('Cherry', undefined)
|
||||
})
|
||||
|
||||
await act(async () => {
|
||||
emit('found-in-page', {
|
||||
requestId: 1,
|
||||
matches: 3,
|
||||
activeMatchOrdinal: 1,
|
||||
selectionArea: undefined as unknown as Electron.Rectangle,
|
||||
finalUpdate: false
|
||||
} as Electron.FoundInPageResult)
|
||||
})
|
||||
|
||||
const nextButton = screen.getByRole('button', { name: 'Next match' })
|
||||
await waitFor(() => {
|
||||
expect(nextButton).not.toBeDisabled()
|
||||
})
|
||||
await user.click(nextButton)
|
||||
await waitFor(() => {
|
||||
expect(findInPageMock).toHaveBeenLastCalledWith('Cherry', { forward: true, findNext: true })
|
||||
})
|
||||
|
||||
const previousButton = screen.getByRole('button', { name: 'Previous match' })
|
||||
await user.click(previousButton)
|
||||
await waitFor(() => {
|
||||
expect(findInPageMock).toHaveBeenLastCalledWith('Cherry', { forward: false, findNext: true })
|
||||
})
|
||||
})
|
||||
|
||||
it('clears search state when appId changes', async () => {
|
||||
const { findInPageMock, stopFindInPageMock, webview } = createWebviewMock()
|
||||
const webviewRef = { current: webview } as React.RefObject<WebviewTag | null>
|
||||
const user = userEvent.setup()
|
||||
|
||||
const { rerender } = render(<WebviewSearch webviewRef={webviewRef} isWebviewReady appId="app-1" />)
|
||||
await openSearchOverlay()
|
||||
|
||||
const input = screen.getByRole('textbox')
|
||||
await user.type(input, 'Cherry')
|
||||
await waitFor(() => {
|
||||
expect(findInPageMock).toHaveBeenCalled()
|
||||
})
|
||||
|
||||
await act(async () => {
|
||||
rerender(<WebviewSearch webviewRef={webviewRef} isWebviewReady appId="app-2" />)
|
||||
})
|
||||
|
||||
await waitFor(() => {
|
||||
expect(screen.queryByPlaceholderText('Search')).not.toBeInTheDocument()
|
||||
})
|
||||
expect(stopFindInPageMock).toHaveBeenCalledWith('clearSelection')
|
||||
})
|
||||
|
||||
it('shows toast error when search fails', async () => {
|
||||
const { findInPageMock, webview } = createWebviewMock()
|
||||
findInPageMock.mockImplementation(() => {
|
||||
throw new Error('findInPage failed')
|
||||
})
|
||||
const webviewRef = { current: webview } as React.RefObject<WebviewTag | null>
|
||||
const user = userEvent.setup()
|
||||
|
||||
render(<WebviewSearch webviewRef={webviewRef} isWebviewReady appId="app-1" />)
|
||||
await openSearchOverlay()
|
||||
|
||||
const input = screen.getByRole('textbox')
|
||||
await user.type(input, 'Cherry')
|
||||
|
||||
await waitFor(() => {
|
||||
expect(toastMock.error).toHaveBeenCalledWith('Error')
|
||||
})
|
||||
})
|
||||
|
||||
it('stops search when component unmounts', async () => {
|
||||
const { stopFindInPageMock, webview } = createWebviewMock()
|
||||
const webviewRef = { current: webview } as React.RefObject<WebviewTag | null>
|
||||
|
||||
const { unmount } = render(<WebviewSearch webviewRef={webviewRef} isWebviewReady appId="app-1" />)
|
||||
await openSearchOverlay()
|
||||
|
||||
stopFindInPageMock.mockClear()
|
||||
unmount()
|
||||
|
||||
expect(stopFindInPageMock).toHaveBeenCalledWith('clearSelection')
|
||||
})
|
||||
|
||||
it('ignores keyboard shortcut when webview is not ready', async () => {
|
||||
const { findInPageMock, webview } = createWebviewMock()
|
||||
const webviewRef = { current: webview } as React.RefObject<WebviewTag | null>
|
||||
|
||||
render(<WebviewSearch webviewRef={webviewRef} isWebviewReady={false} appId="app-1" />)
|
||||
|
||||
await act(async () => {
|
||||
fireEvent.keyDown(window, { key: 'f', ctrlKey: true })
|
||||
})
|
||||
|
||||
expect(screen.queryByPlaceholderText('Search')).not.toBeInTheDocument()
|
||||
expect(findInPageMock).not.toHaveBeenCalled()
|
||||
})
|
||||
})
|
||||