diff --git a/README.md b/README.md
index 5be91a6..6dd1c8b 100644
--- a/README.md
+++ b/README.md
@@ -137,6 +137,17 @@ For unstable multi-agent version, you also can run:
python run_flow.py
```
+### Custom Adding Multiple Agents
+
+Currently, besides the general OpenManus Agent, we have also integrated the DataAnalysis Agent, which is suitable for data analysis and data visualization tasks. You can add this agent to `run_flow` in `config.toml`.
+
+```toml
+# Optional configuration for run-flow
+[runflow]
+use_data_analysis_agent = true # Disabled by default, change to true to activate
+```
+In addition, you need to install the relevant dependencies to ensure the agent runs properly: [Detailed Installation Guide](app/tool/chart_visualization/README.md##Installation)
+
## How to contribute
We welcome any friendly suggestions and helpful contributions! Just create issues or submit pull requests.
diff --git a/README_ja.md b/README_ja.md
index 424e038..d5fd281 100644
--- a/README_ja.md
+++ b/README_ja.md
@@ -137,6 +137,19 @@ python run_mcp.py
python run_flow.py
```
+## カスタムマルチエージェントの追加
+
+現在、一般的なOpenManusエージェントに加えて、データ分析とデータ可視化タスクに適したDataAnalysisエージェントが組み込まれています。このエージェントを`config.toml`の`run_flow`に追加することができます。
+
+```toml
+# run-flowのオプション設定
+[runflow]
+use_data_analysis_agent = true # デフォルトでは無効、trueに変更すると有効化されます
+```
+
+これに加えて、エージェントが正常に動作するために必要な依存関係をインストールする必要があります：[具体的なインストールガイド](app/tool/chart_visualization/README_ja.md##インストール)
+
+
## 貢献方法
我々は建設的な意見や有益な貢献を歓迎します！issueを作成するか、プルリクエストを提出してください。
diff --git a/README_ko.md b/README_ko.md
index 9dcc986..5080f43 100644
--- a/README_ko.md
+++ b/README_ko.md
@@ -137,6 +137,18 @@ python run_mcp.py
python run_flow.py
```
+### 사용자 정의 다중 에이전트 추가
+
+현재 일반 OpenManus 에이전트 외에도 데이터 분석 및 데이터 시각화 작업에 적합한 DataAnalysis 에이전트를 통합했습니다. 이 에이전트를 `config.toml`의 `run_flow`에 추가할 수 있습니다.
+
+```toml
+# run-flow에 대한 선택적 구성
+[runflow]
+use_data_analysis_agent = true # 기본적으로 비활성화되어 있으며, 활성화하려면 true로 변경
+```
+
+또한, 에이전트가 제대로 작동하도록 관련 종속성을 설치해야 합니다: [상세 설치 가이드](app/tool/chart_visualization/README.md##Installation)
+
## 기여 방법
모든 친절한 제안과 유용한 기여를 환영합니다! 이슈를 생성하거나 풀 리퀘스트를 제출해 주세요.
diff --git a/README_zh.md b/README_zh.md
index 0d7c6a0..680ccc1 100644
--- a/README_zh.md
+++ b/README_zh.md
@@ -138,6 +138,17 @@ python run_mcp.py
python run_flow.py
```
+## 添加自定义多智能体
+
+目前除了通用的 OpenManus Agent, 我们还内置了DataAnalysis Agent，适用于数据分析和数据可视化任务，你可以在`config.toml`中将这个智能体加入到`run_flow`中
+```toml
+# run-flow可选配置
+[runflow]
+use_data_analysis_agent = true # 默认关闭，将其改为true则为激活
+```
+除此之外，你还需要安装相关的依赖来确保智能体正常运行：[具体安装指南](app/tool/chart_visualization/README_zh.md##安装)
+
+
## 贡献指南
我们欢迎任何友好的建议和有价值的贡献！可以直接创建 issue 或提交 pull request。
diff --git a/app/agent/data_analysis.py b/app/agent/data_analysis.py
index 774a5cf..79b9c29 100644
--- a/app/agent/data_analysis.py
+++ b/app/agent/data_analysis.py
@@ -17,8 +17,8 @@ class DataAnalysis(ToolCallAgent):
including Data Analysis, Chart Visualization, Data Report.
"""
- name: str = "DataAnalysis"
- description: str = "An analytical agent that utilizes multiple tools to solve diverse data analysis tasks"
+ name: str = "Data_Analysis"
+ description: str = "An analytical agent that utilizes python and data visualization tools to solve diverse data analysis tasks"
system_prompt: str = SYSTEM_PROMPT.format(directory=config.workspace_root)
next_step_prompt: str = NEXT_STEP_PROMPT
diff --git a/app/config.py b/app/config.py
index 87780b4..217b516 100644
--- a/app/config.py
+++ b/app/config.py
@@ -60,6 +60,12 @@ class SearchSettings(BaseModel):
)
+class RunflowSettings(BaseModel):
+ use_data_analysis_agent: bool = Field(
+ default=False, description="Enable data analysis agent in run flow"
+ )
+
+
class BrowserSettings(BaseModel):
headless: bool = Field(False, description="Whether to run browser in headless mode")
disable_security: bool = Field(
@@ -158,6 +164,9 @@ class AppConfig(BaseModel):
None, description="Search configuration"
)
mcp_config: Optional[MCPSettings] = Field(None, description="MCP configuration")
+ run_flow_config: Optional[RunflowSettings] = Field(
+ None, description="Run flow configuration"
+ )
class Config:
arbitrary_types_allowed = True
@@ -269,6 +278,11 @@ class Config:
else:
mcp_settings = MCPSettings(servers=MCPSettings.load_server_config())
+ run_flow_config = raw_config.get("runflow")
+ if run_flow_config:
+ run_flow_settings = RunflowSettings(**run_flow_config)
+ else:
+ run_flow_settings = RunflowSettings()
config_dict = {
"llm": {
"default": default_settings,
@@ -281,6 +295,7 @@ class Config:
"browser_config": browser_settings,
"search_config": search_settings,
"mcp_config": mcp_settings,
+ "run_flow_config": run_flow_settings,
}
self._config = AppConfig(**config_dict)
@@ -306,6 +321,11 @@ class Config:
"""Get the MCP configuration"""
return self._config.mcp_config
+ @property
+ def run_flow_config(self) -> RunflowSettings:
+ """Get the Run Flow configuration"""
+ return self._config.run_flow_config
+
@property
def workspace_root(self) -> Path:
"""Get the workspace root directory"""
diff --git a/app/flow/planning.py b/app/flow/planning.py
index 6ba5aae..b60596a 100644
--- a/app/flow/planning.py
+++ b/app/flow/planning.py
@@ -137,12 +137,30 @@ class PlanningFlow(BaseFlow):
"""Create an initial plan based on the request using the flow's LLM and PlanningTool."""
logger.info(f"Creating initial plan with ID: {self.active_plan_id}")
- # Create a system message for plan creation
- system_message = Message.system_message(
+ system_message_content = (
"You are a planning assistant. Create a concise, actionable plan with clear steps. "
"Focus on key milestones rather than detailed sub-steps. "
"Optimize for clarity and efficiency."
)
+ agents_description = []
+ for key in self.executor_keys:
+ if key in self.agents:
+ agents_description.append(
+ {
+ "name": key.upper(),
+ "description": self.agents[key].description,
+ }
+ )
+ if len(agents_description) > 1:
+ # Add description of agents to select
+ system_message_content += (
+ f"\nNow we have {agents_description} agents. "
+ f"The infomation of them are below: {json.dumps(agents_description)}\n"
+ "When creating steps in the planning tool, please specify the agent names using the format '[agent_name]'."
+ )
+
+ # Create a system message for plan creation
+ system_message = Message.system_message(system_message_content)
# Create a user message with the request
user_message = Message.user_message(
@@ -270,7 +288,7 @@ class PlanningFlow(BaseFlow):
YOUR CURRENT TASK:
You are now working on step {self.current_step_index}: "{step_text}"
- Please execute this step using the appropriate tools. When you're done, provide a summary of what you accomplished.
+ Please only execute this current step using the appropriate tools. When you're done, provide a summary of what you accomplished.
"""
# Use agent.run() to execute the step
diff --git a/app/tool/chart_visualization/README.md b/app/tool/chart_visualization/README.md
index fb3462b..b5e0df5 100644
--- a/app/tool/chart_visualization/README.md
+++ b/app/tool/chart_visualization/README.md
@@ -4,19 +4,46 @@
The chart visualization tool generates data processing code through Python and ultimately invokes [@visactor/vmind](https://github.com/VisActor/VMind) to obtain chart specifications. Chart rendering is implemented using [@visactor/vchart](https://github.com/VisActor/VChart).
-## Installation
+## Installation (Mac / Linux)
-1. Install Node.js >= 18
+1. Install node >= 18
```bash
curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.7/install.sh | bash
-# After installation, restart the terminal and install the latest Node.js LTS version:
-nvm install --lts
+# Activate nvm, for example in Bash
+source ~/.bashrc
+# Then install the latest stable release of Node
+nvm install node
+# Activate usage, for example if the latest stable release is 22, then use 22
+nvm use 22
```
2. Install dependencies
```bash
+# Navigate to the appropriate location in the current repository
+cd app/tool/chart_visualization
+npm install
+```
+
+## Installation (Windows)
+1. Install nvm-windows
+
+ Download the latest version `nvm-setup.exe` from the [official GitHub page](https://github.com/coreybutler/nvm-windows?tab=readme-ov-file#readme) and install it.
+
+2. Use nvm to install node
+
+```powershell
+# Then install the latest stable release of Node
+nvm install node
+# Activate usage, for example if the latest stable release is 22, then use 22
+nvm use 22
+```
+
+3. Install dependencies
+
+```bash
+# Navigate to the appropriate location in the current repository
cd app/tool/chart_visualization
npm install
```
diff --git a/app/tool/chart_visualization/README_ja.md b/app/tool/chart_visualization/README_ja.md
new file mode 100644
index 0000000..7c70278
--- /dev/null
+++ b/app/tool/chart_visualization/README_ja.md
@@ -0,0 +1,114 @@
+# グラフ可視化ツール
+
+グラフ可視化ツールは、Pythonを使用してデータ処理コードを生成し、最終的に[@visactor/vmind](https://github.com/VisActor/VMind)を呼び出してグラフのspec結果を得ます。グラフのレンダリングには[@visactor/vchart](https://github.com/VisActor/VChart)を使用します。
+
+## インストール (Mac / Linux)
+
+1. Node >= 18をインストール
+
+```bash
+curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.7/install.sh | bash
+# nvmを有効化、例としてBashを使用
+source ~/.bashrc
+# その後、最新の安定版Nodeをインストール
+nvm install node
+# 使用を有効化、例えば最新の安定版が22の場合、use 22
+nvm use 22
+```
+
+2. 依存関係をインストール
+
+```bash
+cd app/tool/chart_visualization
+npm install
+```
+
+## インストール (Windows)
+1. nvm-windowsをインストール
+
+ [GitHub公式サイト](https://github.com/coreybutler/nvm-windows?tab=readme-ov-file#readme)から最新バージョンの`nvm-setup.exe`をダウンロードしてインストール
+
+2. nvmを使用してNodeをインストール
+
+```powershell
+# その後、最新の安定版Nodeをインストール
+nvm install node
+# 使用を有効化、例えば最新の安定版が22の場合、use 22
+nvm use 22
+```
+
+3. 依存関係をインストール
+
+```bash
+# 現在のリポジトリで適切な位置に移動
+cd app/tool/chart_visualization
+npm install
+```
+
+## ツール
+### python_execute
+
+Pythonコードを使用してデータ分析（データ可視化を除く）に必要な部分を実行します。これにはデータ処理、データ要約、レポート生成、および一般的なPythonスクリプトコードが含まれます。
+
+#### 入力
+```typescript
+{
+ // コードタイプ：データ処理/データレポート/その他の一般的なタスク
+ code_type: "process" | "report" | "others"
+ // 最終実行コード
+ code: string;
+}
+```
+
+#### 出力
+Python実行結果、中間ファイルの保存とprint出力結果を含む
+
+### visualization_preparation
+
+データ可視化の準備ツールで、2つの用途があります。
+
+#### Data -> Chart
+データから分析に必要なデータ(.csv)と対応する可視化の説明を抽出し、最終的にJSON設定ファイルを出力します。
+
+#### Chart + Insight -> Chart
+既存のグラフと対応するデータインサイトを選択し、データインサイトをデータ注釈の形式でグラフに追加し、最終的にJSON設定ファイルを生成します。
+
+#### 入力
+```typescript
+{
+ // コードタイプ：データ可視化またはデータインサイト追加
+ code_type: "visualization" | "insight"
+ // 最終的なJSONファイルを生成するためのPythonコード
+ code: string;
+}
+```
+
+#### 出力
+データ可視化の設定ファイル、`data_visualization tool`で使用
+
+## data_visualization
+
+`visualization_preparation`の内容に基づいて具体的なデータ可視化を生成
+
+### 入力
+```typescript
+{
+ // 設定ファイルのパス
+ json_path: string;
+ // 現在の用途、データ可視化またはインサイト注釈追加
+ tool_type: "visualization" | "insight";
+ // 最終成果物pngまたはhtml;htmlではvchartのレンダリングとインタラクションをサポート
+ output_type: 'png' | 'html'
+ // 言語、現在は中国語と英語をサポート
+ language: "zh" | "en"
+}
+```
+
+## 出力
+最終的に'png'または'html'の形式でローカルに保存され、保存されたグラフのパスとグラフ内で発見されたデータインサイトを出力
+
+## VMind設定
+
+### LLM
+
+VMind自体
diff --git a/app/tool/chart_visualization/README_ko.md b/app/tool/chart_visualization/README_ko.md
new file mode 100644
index 0000000..4f65f00
--- /dev/null
+++ b/app/tool/chart_visualization/README_ko.md
@@ -0,0 +1,128 @@
+# 차트 시각화 도구
+
+차트 시각화 도구는 Python을 통해 데이터 처리 코드를 생성하고, 최종적으로 [@visactor/vmind](https://github.com/VisActor/VMind)를 호출하여 차트 사양을 얻습니다. 차트 렌더링은 [@visactor/vchart](https://github.com/VisActor/VChart)를 사용하여 구현됩니다.
+
+## 설치 (Mac / Linux)
+
+1. Node.js 18 이상 설치
+
+```bash
+curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.7/install.sh | bash
+# nvm 활성화, 예를 들어 Bash
+source ~/.bashrc
+# 그런 다음 최신 안정 버전의 Node 설치
+nvm install node
+# 사용 활성화, 예를 들어 최신 안정 버전이 22인 경우 use 22
+nvm use 22
+```
+
+2. 의존성 설치
+
+```bash
+# 현재 저장소에서 해당 위치로 이동
+cd app/tool/chart_visualization
+npm install
+```
+
+## 설치 (Windows)
+1. nvm-windows 설치
+
+ [공식 GitHub 페이지](https://github.com/coreybutler/nvm-windows?tab=readme-ov-file#readme)에서 최신 버전의 `nvm-setup.exe`를 다운로드하고 설치합니다.
+
+2. nvm을 사용하여 Node.js 설치
+
+```powershell
+# 그런 다음 최신 안정 버전의 Node 설치
+nvm install node
+# 사용 활성화, 예를 들어 최신 안정 버전이 22인 경우 use 22
+nvm use 22
+```
+
+3. 의존성 설치
+
+```bash
+# 현재 저장소에서 해당 위치로 이동
+cd app/tool/chart_visualization
+npm install
+```
+
+## 도구
+### python_execute
+
+Python 코드를 사용하여 데이터 분석의 필요한 부분(데이터 시각화 제외)을 실행합니다. 여기에는 데이터 처리, 데이터 요약, 보고서 생성 및 일부 일반적인 Python 스크립트 코드가 포함됩니다.
+
+#### 입력
+```typescript
+{
+ // 코드 유형: 데이터 처리/데이터 보고서/기타 일반 작업
+ code_type: "process" | "report" | "others"
+ // 최종 실행 코드
+ code: string;
+}
+```
+
+#### 출력
+Python 실행 결과, 중간 파일 저장 및 출력 결과 포함.
+
+### visualization_preparation
+
+데이터 시각화를 위한 사전 도구로 두 가지 목적이 있습니다.
+
+#### 데이터 -> 차트
+분석에 필요한 데이터(.csv)와 해당 시각화 설명을 데이터에서 추출하여 최종적으로 JSON 구성 파일을 출력합니다.
+
+#### 차트 + 인사이트 -> 차트
+기존 차트와 해당 데이터 인사이트를 선택하고, 데이터 주석 형태로 차트에 추가할 데이터 인사이트를 선택하여 최종적으로 JSON 구성 파일을 생성합니다.
+
+#### 입력
+```typescript
+{
+ // 코드 유형: 데이터 시각화 또는 데이터 인사이트 추가
+ code_type: "visualization" | "insight"
+ // 최종 JSON 파일을 생성하는 데 사용되는 Python 코드
+ code: string;
+}
+```
+
+#### 출력
+`data_visualization tool`에 사용되는 데이터 시각화를 위한 구성 파일.
+
+## data_visualization
+
+`visualization_preparation`의 내용을 기반으로 특정 데이터 시각화를 생성합니다.
+
+### 입력
+```typescript
+{
+ // 구성 파일 경로
+ json_path: string;
+ // 현재 목적, 데이터 시각화 또는 인사이트 주석 추가
+ tool_type: "visualization" | "insight";
+ // 최종 제품 png 또는 html; html은 vchart 렌더링 및 상호작용 지원
+ output_type: 'png' | 'html'
+ // 언어, 현재 중국어 및 영어 지원
+ language: "zh" | "en"
+}
+```
+
+## VMind 구성
+
+### LLM
+
+VMind는 지능형 차트 생성을 위해 LLM 호출이 필요합니다. 기본적으로 `config.llm["default"]` 구성을 사용합니다.
+
+### 생성 설정
+
+주요 구성에는 차트 크기, 테마 및 생성 방법이 포함됩니다.
+### 생성 방법
+기본값: png. 현재 LLM이 컨텍스트에 따라 `output_type`을 자동으로 선택하는 것을 지원합니다.
+
+### 크기
+기본 크기는 지정되지 않았습니다. HTML 출력의 경우 차트는 기본적으로 전체 페이지를 채웁니다. PNG 출력의 경우 기본값은 `1000*1000`입니다.
+
+### 테마
+기본 테마: `'light'`. VChart는 여러 테마를 지원합니다. [테마](https://www.visactor.io/vchart/guide/tutorial_docs/Theme/Theme_Extension)를 참조하세요.
+
+## 테스트
+
+현재, 서로 다른 난이도의
diff --git a/app/tool/chart_visualization/README_zh.md b/app/tool/chart_visualization/README_zh.md
index 899910d..b1e414c 100644
--- a/app/tool/chart_visualization/README_zh.md
+++ b/app/tool/chart_visualization/README_zh.md
@@ -2,14 +2,18 @@
图表可视化工具，通过python生成数据处理代码，最终调用[@visactor/vmind](https://github.com/VisActor/VMind)得到图表的spec结果，图表渲染使用[@visactor/vchart](https://github.com/VisActor/VChart)
-## 安装
+## 安装(Mac / Linux)
1. 安装node >= 18
```bash
curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.7/install.sh | bash
-# 安装完成后重启终端，然后安装 Node 最新 LTS 版本：
-nvm install --lts
+# 激活nvm，以Bash为例
+source ~/.bashrc
+# 然后安装 Node 最近一个稳定颁布
+nvm install node
+# 激活使用，例如最新一个稳定颁布为22，则use 22
+nvm use 22
```
2. 安装依赖
@@ -18,6 +22,28 @@ nvm install --lts
cd app/tool/chart_visualization
npm install
```
+
+## 安装(Windows)
+1. 安装nvm-windows
+
+ 从[github官网](https://github.com/coreybutler/nvm-windows?tab=readme-ov-file#readme)上下载最新版本`nvm-setup.exe`并且安装
+
+2. 使用nvm安装node
+
+```powershell
+# 然后安装 Node 最近一个稳定颁布
+nvm install node
+# 激活使用，例如最新一个稳定颁布为22，则use 22
+nvm use 22
+```
+
+3. 安装依赖
+
+```bash
+# 在当前仓库下定位到相应位置
+cd app/tool/chart_visualization
+npm install
+```
## Tool
### python_execute
@@ -108,7 +134,7 @@ VMind本身也需要通过调用大模型得到智能图表生成结果，目前
给予数据和具体的图表生成需求，测试结果，执行命令：
```bash
-python -m app.tool.chart_visualization.test.simple_chart
+python -m app.tool.chart_visualization.test.chart_demo
```
结果应位于`worksapce\visualization`下，涉及到9种不同的图表结果
@@ -116,6 +142,6 @@ python -m app.tool.chart_visualization.test.simple_chart
给予简单原始数据可分析需求，需要对数据进行简单加工处理，执行命令：
```bash
-python -m app.tool.chart_visualization.test.simple_report
+python -m app.tool.chart_visualization.test.report_demo
```
结果同样位于`worksapce\visualization`下
diff --git a/app/tool/chart_visualization/package-lock.json b/app/tool/chart_visualization/package-lock.json
index 5b9e043..19dae01 100644
--- a/app/tool/chart_visualization/package-lock.json
+++ b/app/tool/chart_visualization/package-lock.json
@@ -11,8 +11,8 @@
"dependencies": {
"@visactor/vchart": "^1.13.7",
"@visactor/vmind": "2.0.5",
- "canvas": "^2.11.2",
- "get-stdin": "^9.0.0"
+ "get-stdin": "^9.0.0",
+ "puppeteer": "^24.9.0"
},
"devDependencies": {
"@types/node": "^22.10.1",
@@ -20,6 +20,27 @@
"typescript": "^5.7.2"
}
},
+ "node_modules/@babel/code-frame": {
+ "version": "7.27.1",
+ "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.27.1.tgz",
+ "integrity": "sha512-cjQ7ZlQ0Mv3b47hABuTevyTuYN4i+loJKGeV9flcCgIK37cCXRh+L1bd3iBHlynerhQ7BhCkn2BPbQUL+rGqFg==",
+ "dependencies": {
+ "@babel/helper-validator-identifier": "^7.27.1",
+ "js-tokens": "^4.0.0",
+ "picocolors": "^1.1.1"
+ },
+ "engines": {
+ "node": ">=6.9.0"
+ }
+ },
+ "node_modules/@babel/helper-validator-identifier": {
+ "version": "7.27.1",
+ "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.27.1.tgz",
+ "integrity": "sha512-D2hP9eA+Sqx1kBZgzxZh0y1trbuU+JoDkiEwqhQ36nodYqJwyEIhPSdMNd7lOm/4io72luTPWH20Yda0xOuUow==",
+ "engines": {
+ "node": ">=6.9.0"
+ }
+ },
"node_modules/@cspotcode/source-map-support": {
"version": "0.8.1",
"resolved": "https://registry.npmjs.org/@cspotcode/source-map-support/-/source-map-support-0.8.1.tgz",
@@ -57,23 +78,83 @@
"@jridgewell/sourcemap-codec": "^1.4.10"
}
},
- "node_modules/@mapbox/node-pre-gyp": {
- "version": "1.0.11",
- "resolved": "https://registry.npmjs.org/@mapbox/node-pre-gyp/-/node-pre-gyp-1.0.11.tgz",
- "integrity": "sha512-Yhlar6v9WQgUp/He7BdgzOz8lqMQ8sU+jkCq7Wx8Myc5YFJLbEe7lgui/V7G1qB1DJykHSGwreceSaD60Y0PUQ==",
+ "node_modules/@puppeteer/browsers": {
+ "version": "2.10.5",
+ "resolved": "https://registry.npmjs.org/@puppeteer/browsers/-/browsers-2.10.5.tgz",
+ "integrity": "sha512-eifa0o+i8dERnngJwKrfp3dEq7ia5XFyoqB17S4gK8GhsQE4/P8nxOfQSE0zQHxzzLo/cmF+7+ywEQ7wK7Fb+w==",
"dependencies": {
- "detect-libc": "^2.0.0",
- "https-proxy-agent": "^5.0.0",
- "make-dir": "^3.1.0",
- "node-fetch": "^2.6.7",
- "nopt": "^5.0.0",
- "npmlog": "^5.0.1",
- "rimraf": "^3.0.2",
- "semver": "^7.3.5",
- "tar": "^6.1.11"
+ "debug": "^4.4.1",
+ "extract-zip": "^2.0.1",
+ "progress": "^2.0.3",
+ "proxy-agent": "^6.5.0",
+ "semver": "^7.7.2",
+ "tar-fs": "^3.0.8",
+ "yargs": "^17.7.2"
},
"bin": {
- "node-pre-gyp": "bin/node-pre-gyp"
+ "browsers": "lib/cjs/main-cli.js"
+ },
+ "engines": {
+ "node": ">=18"
+ }
+ },
+ "node_modules/@puppeteer/browsers/node_modules/cliui": {
+ "version": "8.0.1",
+ "resolved": "https://registry.npmjs.org/cliui/-/cliui-8.0.1.tgz",
+ "integrity": "sha512-BSeNnyus75C4//NQ9gQt1/csTXyo/8Sb+afLAkzAptFuMsod9HFokGNudZpi/oQV73hnVK+sR+5PVRMd+Dr7YQ==",
+ "dependencies": {
+ "string-width": "^4.2.0",
+ "strip-ansi": "^6.0.1",
+ "wrap-ansi": "^7.0.0"
+ },
+ "engines": {
+ "node": ">=12"
+ }
+ },
+ "node_modules/@puppeteer/browsers/node_modules/debug": {
+ "version": "4.4.1",
+ "resolved": "https://registry.npmjs.org/debug/-/debug-4.4.1.tgz",
+ "integrity": "sha512-KcKCqiftBJcZr++7ykoDIEwSa3XWowTfNPo92BYxjXiyYEVrUQh2aLyhxBCwww+heortUFxEJYcRzosstTEBYQ==",
+ "dependencies": {
+ "ms": "^2.1.3"
+ },
+ "engines": {
+ "node": ">=6.0"
+ },
+ "peerDependenciesMeta": {
+ "supports-color": {
+ "optional": true
+ }
+ }
+ },
+ "node_modules/@puppeteer/browsers/node_modules/ms": {
+ "version": "2.1.3",
+ "resolved": "https://registry.npmjs.org/ms/-/ms-2.1.3.tgz",
+ "integrity": "sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA=="
+ },
+ "node_modules/@puppeteer/browsers/node_modules/yargs": {
+ "version": "17.7.2",
+ "resolved": "https://registry.npmjs.org/yargs/-/yargs-17.7.2.tgz",
+ "integrity": "sha512-7dSzzRQ++CKnNI/krKnYRV7JKKPUXMEh61soaHKg9mrWEhzFWhFnxPxGl+69cD1Ou63C13NUPCnmIcrvqCuM6w==",
+ "dependencies": {
+ "cliui": "^8.0.1",
+ "escalade": "^3.1.1",
+ "get-caller-file": "^2.0.5",
+ "require-directory": "^2.1.1",
+ "string-width": "^4.2.3",
+ "y18n": "^5.0.5",
+ "yargs-parser": "^21.1.1"
+ },
+ "engines": {
+ "node": ">=12"
+ }
+ },
+ "node_modules/@puppeteer/browsers/node_modules/yargs-parser": {
+ "version": "21.1.1",
+ "resolved": "https://registry.npmjs.org/yargs-parser/-/yargs-parser-21.1.1.tgz",
+ "integrity": "sha512-tVpsJW7DdjecAiFpbIB1e3qxIQsE6NoPc5/eTdrbbIC4h0LVsWhnoa3g+m2HclBIujHzsxZ4VJVA+GUuc2/LBw==",
+ "engines": {
+ "node": ">=12"
}
},
"node_modules/@resvg/resvg-js": {
@@ -98,36 +179,6 @@
"@resvg/resvg-js-win32-x64-msvc": "2.4.1"
}
},
- "node_modules/@resvg/resvg-js-android-arm-eabi": {
- "version": "2.4.1",
- "resolved": "https://registry.npmjs.org/@resvg/resvg-js-android-arm-eabi/-/resvg-js-android-arm-eabi-2.4.1.tgz",
- "integrity": "sha512-AA6f7hS0FAPpvQMhBCf6f1oD1LdlqNXKCxAAPpKh6tR11kqV0YIB9zOlIYgITM14mq2YooLFl6XIbbvmY+jwUw==",
- "cpu": [
- "arm"
- ],
- "optional": true,
- "os": [
- "android"
- ],
- "engines": {
- "node": ">= 10"
- }
- },
- "node_modules/@resvg/resvg-js-android-arm64": {
- "version": "2.4.1",
- "resolved": "https://registry.npmjs.org/@resvg/resvg-js-android-arm64/-/resvg-js-android-arm64-2.4.1.tgz",
- "integrity": "sha512-/QleoRdPfsEuH9jUjilYcDtKK/BkmWcK+1LXM8L2nsnf/CI8EnFyv7ZzCj4xAIvZGAy9dTYr/5NZBcTwxG2HQg==",
- "cpu": [
- "arm64"
- ],
- "optional": true,
- "os": [
- "android"
- ],
- "engines": {
- "node": ">= 10"
- }
- },
"node_modules/@resvg/resvg-js-darwin-arm64": {
"version": "2.4.1",
"resolved": "https://registry.npmjs.org/@resvg/resvg-js-darwin-arm64/-/resvg-js-darwin-arm64-2.4.1.tgz",
@@ -143,141 +194,6 @@
"node": ">= 10"
}
},
- "node_modules/@resvg/resvg-js-darwin-x64": {
- "version": "2.4.1",
- "resolved": "https://registry.npmjs.org/@resvg/resvg-js-darwin-x64/-/resvg-js-darwin-x64-2.4.1.tgz",
- "integrity": "sha512-avyVh6DpebBfHHtTQTZYSr6NG1Ur6TEilk1+H0n7V+g4F7x7WPOo8zL00ZhQCeRQ5H4f8WXNWIEKL8fwqcOkYw==",
- "cpu": [
- "x64"
- ],
- "optional": true,
- "os": [
- "darwin"
- ],
- "engines": {
- "node": ">= 10"
- }
- },
- "node_modules/@resvg/resvg-js-linux-arm-gnueabihf": {
- "version": "2.4.1",
- "resolved": "https://registry.npmjs.org/@resvg/resvg-js-linux-arm-gnueabihf/-/resvg-js-linux-arm-gnueabihf-2.4.1.tgz",
- "integrity": "sha512-isY/mdKoBWH4VB5v621co+8l101jxxYjuTkwOLsbW+5RK9EbLciPlCB02M99ThAHzI2MYxIUjXNmNgOW8btXvw==",
- "cpu": [
- "arm"
- ],
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">= 10"
- }
- },
- "node_modules/@resvg/resvg-js-linux-arm64-gnu": {
- "version": "2.4.1",
- "resolved": "https://registry.npmjs.org/@resvg/resvg-js-linux-arm64-gnu/-/resvg-js-linux-arm64-gnu-2.4.1.tgz",
- "integrity": "sha512-uY5voSCrFI8TH95vIYBm5blpkOtltLxLRODyhKJhGfskOI7XkRw5/t1u0sWAGYD8rRSNX+CA+np86otKjubrNg==",
- "cpu": [
- "arm64"
- ],
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">= 10"
- }
- },
- "node_modules/@resvg/resvg-js-linux-arm64-musl": {
- "version": "2.4.1",
- "resolved": "https://registry.npmjs.org/@resvg/resvg-js-linux-arm64-musl/-/resvg-js-linux-arm64-musl-2.4.1.tgz",
- "integrity": "sha512-6mT0+JBCsermKMdi/O2mMk3m7SqOjwi9TKAwSngRZ/nQoL3Z0Z5zV+572ztgbWr0GODB422uD8e9R9zzz38dRQ==",
- "cpu": [
- "arm64"
- ],
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">= 10"
- }
- },
- "node_modules/@resvg/resvg-js-linux-x64-gnu": {
- "version": "2.4.1",
- "resolved": "https://registry.npmjs.org/@resvg/resvg-js-linux-x64-gnu/-/resvg-js-linux-x64-gnu-2.4.1.tgz",
- "integrity": "sha512-60KnrscLj6VGhkYOJEmmzPlqqfcw1keDh6U+vMcNDjPhV3B5vRSkpP/D/a8sfokyeh4VEacPSYkWGezvzS2/mg==",
- "cpu": [
- "x64"
- ],
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">= 10"
- }
- },
- "node_modules/@resvg/resvg-js-linux-x64-musl": {
- "version": "2.4.1",
- "resolved": "https://registry.npmjs.org/@resvg/resvg-js-linux-x64-musl/-/resvg-js-linux-x64-musl-2.4.1.tgz",
- "integrity": "sha512-0AMyZSICC1D7ge115cOZQW8Pcad6PjWuZkBFF3FJuSxC6Dgok0MQnLTs2MfMdKBlAcwO9dXsf3bv9tJZj8pATA==",
- "cpu": [
- "x64"
- ],
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">= 10"
- }
- },
- "node_modules/@resvg/resvg-js-win32-arm64-msvc": {
- "version": "2.4.1",
- "resolved": "https://registry.npmjs.org/@resvg/resvg-js-win32-arm64-msvc/-/resvg-js-win32-arm64-msvc-2.4.1.tgz",
- "integrity": "sha512-76XDFOFSa3d0QotmcNyChh2xHwk+JTFiEQBVxMlHpHMeq7hNrQJ1IpE1zcHSQvrckvkdfLboKRrlGB86B10Qjw==",
- "cpu": [
- "arm64"
- ],
- "optional": true,
- "os": [
- "win32"
- ],
- "engines": {
- "node": ">= 10"
- }
- },
- "node_modules/@resvg/resvg-js-win32-ia32-msvc": {
- "version": "2.4.1",
- "resolved": "https://registry.npmjs.org/@resvg/resvg-js-win32-ia32-msvc/-/resvg-js-win32-ia32-msvc-2.4.1.tgz",
- "integrity": "sha512-odyVFGrEWZIzzJ89KdaFtiYWaIJh9hJRW/frcEcG3agJ464VXkN/2oEVF5ulD+5mpGlug9qJg7htzHcKxDN8sg==",
- "cpu": [
- "ia32"
- ],
- "optional": true,
- "os": [
- "win32"
- ],
- "engines": {
- "node": ">= 10"
- }
- },
- "node_modules/@resvg/resvg-js-win32-x64-msvc": {
- "version": "2.4.1",
- "resolved": "https://registry.npmjs.org/@resvg/resvg-js-win32-x64-msvc/-/resvg-js-win32-x64-msvc-2.4.1.tgz",
- "integrity": "sha512-vY4kTLH2S3bP+puU5x7hlAxHv+ulFgcK6Zn3efKSr0M0KnZ9A3qeAjZteIpkowEFfUeMPNg2dvvoFRJA9zqxSw==",
- "cpu": [
- "x64"
- ],
- "optional": true,
- "os": [
- "win32"
- ],
- "engines": {
- "node": ">= 10"
- }
- },
"node_modules/@stdlib/array-base-filled": {
"version": "0.2.2",
"resolved": "https://registry.npmjs.org/@stdlib/array-base-filled/-/array-base-filled-0.2.2.tgz",
@@ -6275,6 +6191,11 @@
"url": "https://opencollective.com/stdlib"
}
},
+ "node_modules/@tootallnate/quickjs-emscripten": {
+ "version": "0.23.0",
+ "resolved": "https://registry.npmjs.org/@tootallnate/quickjs-emscripten/-/quickjs-emscripten-0.23.0.tgz",
+ "integrity": "sha512-C5Mc6rdnsaJDjO3UpGW/CQTHtCKaYlScZTly4JIu97Jxo/odCiH0ITnDXSJPTOrEKk/ycSZ0AOgTmkDtkOsvIA=="
+ },
"node_modules/@tsconfig/node10": {
"version": "1.0.11",
"resolved": "https://registry.npmjs.org/@tsconfig/node10/-/node10-1.0.11.tgz",
@@ -6383,14 +6304,23 @@
"version": "22.13.17",
"resolved": "https://registry.npmjs.org/@types/node/-/node-22.13.17.tgz",
"integrity": "sha512-nAJuQXoyPj04uLgu+obZcSmsfOenUg6DxPKogeUy6yNCFwWaj5sBF8/G/pNo8EtBJjAfSVgfIlugR/BCOleO+g==",
- "dev": true,
+ "devOptional": true,
"dependencies": {
"undici-types": "~6.20.0"
}
},
+ "node_modules/@types/yauzl": {
+ "version": "2.10.3",
+ "resolved": "https://registry.npmjs.org/@types/yauzl/-/yauzl-2.10.3.tgz",
+ "integrity": "sha512-oJoftv0LSuaDZE3Le4DbKX+KS9G36NzOeSap90UIK0yMA/NhKJhqlSGtNDORNRaIbQfzjXDrQa0ytJ6mNRGz/Q==",
+ "optional": true,
+ "dependencies": {
+ "@types/node": "*"
+ }
+ },
"node_modules/@visactor/calculator": {
"version": "2.0.5",
- "resolved": "https://bnpm.byted.org/@visactor/calculator/-/calculator-2.0.5.tgz",
+ "resolved": "https://registry.npmjs.org/@visactor/calculator/-/calculator-2.0.5.tgz",
"integrity": "sha512-/NBDB/wBQLeQuSspDBuiEAbbyfJS/xPX6mubVsLGhfy65UwUBojAQgmX25FcRJnUsRXooK5heshni19DBBf8xA==",
"dependencies": {
"@visactor/vutils": "~0.19.3",
@@ -6400,7 +6330,7 @@
},
"node_modules/@visactor/chart-advisor": {
"version": "2.0.5",
- "resolved": "https://bnpm.byted.org/@visactor/chart-advisor/-/chart-advisor-2.0.5.tgz",
+ "resolved": "https://registry.npmjs.org/@visactor/chart-advisor/-/chart-advisor-2.0.5.tgz",
"integrity": "sha512-pvHceRlworB7kDSmbWXUtherLLXh5nMj0aEGuxtzKQyHmeO0sjuu9gGXBFIgscGliSZM4tmeNrFU9eBLGJ8dxw==",
"dependencies": {
"@visactor/vutils": "~0.19.3"
@@ -6567,7 +6497,7 @@
},
"node_modules/@visactor/vmind": {
"version": "2.0.5",
- "resolved": "https://bnpm.byted.org/@visactor/vmind/-/vmind-2.0.5.tgz",
+ "resolved": "https://registry.npmjs.org/@visactor/vmind/-/vmind-2.0.5.tgz",
"integrity": "sha512-QztQaeSkdeRZYOUlB4qaBpx3/swyO3JzFH8eYvSgvptS/rf8aQDZiufAUasafDLkcME5N6RpBGkcGYIDkmt74Q==",
"dependencies": {
"@stdlib/stats-base-dists-t-quantile": "0.2.1",
@@ -6650,11 +6580,6 @@
"@visactor/vutils": "~0.19.4"
}
},
- "node_modules/abbrev": {
- "version": "1.1.1",
- "resolved": "https://registry.npmjs.org/abbrev/-/abbrev-1.1.1.tgz",
- "integrity": "sha512-nne9/IiQ/hzIhY6pdDnbBtz7DjPTKrY00P/zvPSm5pOFkl6xuGrGnXn/VtTNNfNtAfZ9/1RtehkszU9qcTii0Q=="
- },
"node_modules/abs-svg-path": {
"version": "0.1.1",
"resolved": "https://registry.npmjs.org/abs-svg-path/-/abs-svg-path-0.1.1.tgz",
@@ -6684,38 +6609,6 @@
"node": ">=0.4.0"
}
},
- "node_modules/agent-base": {
- "version": "6.0.2",
- "resolved": "https://registry.npmjs.org/agent-base/-/agent-base-6.0.2.tgz",
- "integrity": "sha512-RZNwNclF7+MS/8bDg70amg32dyeZGZxiDuQmZxKLAlQjr3jGyLx+4Kkk58UO7D2QdgFIQCovuSuZESne6RG6XQ==",
- "dependencies": {
- "debug": "4"
- },
- "engines": {
- "node": ">= 6.0.0"
- }
- },
- "node_modules/agent-base/node_modules/debug": {
- "version": "4.4.0",
- "resolved": "https://registry.npmjs.org/debug/-/debug-4.4.0.tgz",
- "integrity": "sha512-6WTZ/IxCY/T6BALoZHaE4ctp9xm+Z5kY/pzYaCHRFeyVhojxlrm+46y68HA6hr0TcwEssoxNiDEUJQjfPZ/RYA==",
- "dependencies": {
- "ms": "^2.1.3"
- },
- "engines": {
- "node": ">=6.0"
- },
- "peerDependenciesMeta": {
- "supports-color": {
- "optional": true
- }
- }
- },
- "node_modules/agent-base/node_modules/ms": {
- "version": "2.1.3",
- "resolved": "https://registry.npmjs.org/ms/-/ms-2.1.3.tgz",
- "integrity": "sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA=="
- },
"node_modules/alasql": {
"version": "4.3.3",
"resolved": "https://registry.npmjs.org/alasql/-/alasql-4.3.3.tgz",
@@ -6753,24 +6646,6 @@
"url": "https://github.com/chalk/ansi-styles?sponsor=1"
}
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- "node_modules/aproba": {
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- "resolved": "https://registry.npmjs.org/signal-exit/-/signal-exit-3.0.7.tgz",
- "integrity": "sha512-wnD2ZE+l+SPC/uoS0vXeE9L1+0wuaMqKlfz9AMUo38JsyLSBWSFcHR1Rri62LZc12vLr1gb3jl7iwQhgwpAbGQ=="
- },
- "node_modules/simple-concat": {
- "version": "1.0.1",
- "resolved": "https://registry.npmjs.org/simple-concat/-/simple-concat-1.0.1.tgz",
- "integrity": "sha512-cSFtAPtRhljv69IK0hTVZQ+OfE9nePi/rtJmw5UjHeVyVroEqJXP1sFztKUy1qU+xvz3u/sfYJLa947b7nAN2Q==",
- "funding": [
- {
- "type": "github",
- "url": "https://github.com/sponsors/feross"
- },
- {
- "type": "patreon",
- "url": "https://www.patreon.com/feross"
- },
- {
- "type": "consulting",
- "url": "https://feross.org/support"
- }
- ]
- },
- "node_modules/simple-get": {
- "version": "3.1.1",
- "resolved": "https://registry.npmjs.org/simple-get/-/simple-get-3.1.1.tgz",
- "integrity": "sha512-CQ5LTKGfCpvE1K0n2us+kuMPbk/q0EKl82s4aheV9oXjFEz6W/Y7oQFVJuU6QG77hRT4Ghb5RURteF5vnWjupA==",
- "dependencies": {
- "decompress-response": "^4.2.0",
- "once": "^1.3.1",
- "simple-concat": "^1.0.0"
- }
- },
"node_modules/simple-statistics": {
"version": "7.8.8",
"resolved": "https://registry.npmjs.org/simple-statistics/-/simple-statistics-7.8.8.tgz",
@@ -8117,11 +8319,101 @@
"resolved": "https://registry.npmjs.org/slice-source/-/slice-source-0.4.1.tgz",
"integrity": "sha512-YiuPbxpCj4hD9Qs06hGAz/OZhQ0eDuALN0lRWJez0eD/RevzKqGdUx1IOMUnXgpr+sXZLq3g8ERwbAH0bCb8vg=="
},
+ "node_modules/smart-buffer": {
+ "version": "4.2.0",
+ "resolved": "https://registry.npmjs.org/smart-buffer/-/smart-buffer-4.2.0.tgz",
+ "integrity": "sha512-94hK0Hh8rPqQl2xXc3HsaBoOXKV20MToPkcXvwbISWLEs+64sBq5kFgn2kJDHb1Pry9yrP0dxrCI9RRci7RXKg==",
+ "engines": {
+ "node": ">= 6.0.0",
+ "npm": ">= 3.0.0"
+ }
+ },
+ "node_modules/socks": {
+ "version": "2.8.4",
+ "resolved": "https://registry.npmjs.org/socks/-/socks-2.8.4.tgz",
+ "integrity": "sha512-D3YaD0aRxR3mEcqnidIs7ReYJFVzWdd6fXJYUM8ixcQcJRGTka/b3saV0KflYhyVJXKhb947GndU35SxYNResQ==",
+ "dependencies": {
+ "ip-address": "^9.0.5",
+ "smart-buffer": "^4.2.0"
+ },
+ "engines": {
+ "node": ">= 10.0.0",
+ "npm": ">= 3.0.0"
+ }
+ },
+ "node_modules/socks-proxy-agent": {
+ "version": "8.0.5",
+ "resolved": "https://registry.npmjs.org/socks-proxy-agent/-/socks-proxy-agent-8.0.5.tgz",
+ "integrity": "sha512-HehCEsotFqbPW9sJ8WVYB6UbmIMv7kUUORIF2Nncq4VQvBfNBLibW9YZR5dlYCSUhwcD628pRllm7n+E+YTzJw==",
+ "dependencies": {
+ "agent-base": "^7.1.2",
+ "debug": "^4.3.4",
+ "socks": "^2.8.3"
+ },
+ "engines": {
+ "node": ">= 14"
+ }
+ },
+ "node_modules/socks-proxy-agent/node_modules/agent-base": {
+ "version": "7.1.3",
+ "resolved": "https://registry.npmjs.org/agent-base/-/agent-base-7.1.3.tgz",
+ "integrity": "sha512-jRR5wdylq8CkOe6hei19GGZnxM6rBGwFl3Bg0YItGDimvjGtAvdZk4Pu6Cl4u4Igsws4a1fd1Vq3ezrhn4KmFw==",
+ "engines": {
+ "node": ">= 14"
+ }
+ },
+ "node_modules/socks-proxy-agent/node_modules/debug": {
+ "version": "4.4.1",
+ "resolved": "https://registry.npmjs.org/debug/-/debug-4.4.1.tgz",
+ "integrity": "sha512-KcKCqiftBJcZr++7ykoDIEwSa3XWowTfNPo92BYxjXiyYEVrUQh2aLyhxBCwww+heortUFxEJYcRzosstTEBYQ==",
+ "dependencies": {
+ "ms": "^2.1.3"
+ },
+ "engines": {
+ "node": ">=6.0"
+ },
+ "peerDependenciesMeta": {
+ "supports-color": {
+ "optional": true
+ }
+ }
+ },
+ "node_modules/socks-proxy-agent/node_modules/ms": {
+ "version": "2.1.3",
+ "resolved": "https://registry.npmjs.org/ms/-/ms-2.1.3.tgz",
+ "integrity": "sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA=="
+ },
+ "node_modules/source-map": {
+ "version": "0.6.1",
+ "resolved": "https://registry.npmjs.org/source-map/-/source-map-0.6.1.tgz",
+ "integrity": "sha512-UjgapumWlbMhkBgzT7Ykc5YXUT46F0iKu8SGXq0bcwP5dz/h0Plj6enJqjz1Zbq2l5WaqYnrVbwWOWMyF3F47g==",
+ "optional": true,
+ "engines": {
+ "node": ">=0.10.0"
+ }
+ },
+ "node_modules/sprintf-js": {
+ "version": "1.1.3",
+ "resolved": "https://registry.npmjs.org/sprintf-js/-/sprintf-js-1.1.3.tgz",
+ "integrity": "sha512-Oo+0REFV59/rz3gfJNKQiBlwfHaSESl1pcGyABQsnnIfWOFt6JNj5gCog2U6MLZ//IGYD+nA8nI+mTShREReaA=="
+ },
"node_modules/stream-source": {
"version": "0.3.5",
"resolved": "https://registry.npmjs.org/stream-source/-/stream-source-0.3.5.tgz",
"integrity": "sha512-ZuEDP9sgjiAwUVoDModftG0JtYiLUV8K4ljYD1VyUMRWtbVf92474o4kuuul43iZ8t/hRuiDAx1dIJSvirrK/g=="
},
+ "node_modules/streamx": {
+ "version": "2.22.0",
+ "resolved": "https://registry.npmjs.org/streamx/-/streamx-2.22.0.tgz",
+ "integrity": "sha512-sLh1evHOzBy/iWRiR6d1zRcLao4gGZr3C1kzNz4fopCOKJb6xD9ub8Mpi9Mr1R6id5o43S+d93fI48UC5uM9aw==",
+ "dependencies": {
+ "fast-fifo": "^1.3.2",
+ "text-decoder": "^1.1.0"
+ },
+ "optionalDependencies": {
+ "bare-events": "^2.2.0"
+ }
+ },
"node_modules/string_decoder": {
"version": "1.3.0",
"resolved": "https://registry.npmjs.org/string_decoder/-/string_decoder-1.3.0.tgz",
@@ -8170,20 +8462,35 @@
"url": "https://github.com/sponsors/ljharb"
}
},
- "node_modules/tar": {
- "version": "6.2.1",
- "resolved": "https://registry.npmjs.org/tar/-/tar-6.2.1.tgz",
- "integrity": "sha512-DZ4yORTwrbTj/7MZYq2w+/ZFdI6OZ/f9SFHR+71gIVUZhOQPHzVCLpvRnPgyaMpfWxxk/4ONva3GQSyNIKRv6A==",
+ "node_modules/tar-fs": {
+ "version": "3.0.8",
+ "resolved": "https://registry.npmjs.org/tar-fs/-/tar-fs-3.0.8.tgz",
+ "integrity": "sha512-ZoROL70jptorGAlgAYiLoBLItEKw/fUxg9BSYK/dF/GAGYFJOJJJMvjPAKDJraCXFwadD456FCuvLWgfhMsPwg==",
"dependencies": {
- "chownr": "^2.0.0",
- "fs-minipass": "^2.0.0",
- "minipass": "^5.0.0",
- "minizlib": "^2.1.1",
- "mkdirp": "^1.0.3",
- "yallist": "^4.0.0"
+ "pump": "^3.0.0",
+ "tar-stream": "^3.1.5"
},
- "engines": {
- "node": ">=10"
+ "optionalDependencies": {
+ "bare-fs": "^4.0.1",
+ "bare-path": "^3.0.0"
+ }
+ },
+ "node_modules/tar-stream": {
+ "version": "3.1.7",
+ "resolved": "https://registry.npmjs.org/tar-stream/-/tar-stream-3.1.7.tgz",
+ "integrity": "sha512-qJj60CXt7IU1Ffyc3NJMjh6EkuCFej46zUqJ4J7pqYlThyd9bO0XBTmcOIhSzZJVWfsLks0+nle/j538YAW9RQ==",
+ "dependencies": {
+ "b4a": "^1.6.4",
+ "fast-fifo": "^1.2.0",
+ "streamx": "^2.15.0"
+ }
+ },
+ "node_modules/text-decoder": {
+ "version": "1.2.3",
+ "resolved": "https://registry.npmjs.org/text-decoder/-/text-decoder-1.2.3.tgz",
+ "integrity": "sha512-3/o9z3X0X0fTupwsYvR03pJ/DjWuqqrfwBgTQzdWDiQSm9KitAyz/9WqsT2JQW7KV2m+bC2ol/zqpW37NHxLaA==",
+ "dependencies": {
+ "b4a": "^1.6.4"
}
},
"node_modules/text-encoding": {
@@ -8266,9 +8573,19 @@
},
"node_modules/ts-pattern": {
"version": "4.1.4",
- "resolved": "https://bnpm.byted.org/ts-pattern/-/ts-pattern-4.1.4.tgz",
+ "resolved": "https://registry.npmjs.org/ts-pattern/-/ts-pattern-4.1.4.tgz",
"integrity": "sha512-Mcw65oUd1w5ktKi5BRwrnz16Otwk9iv7P0dKgvbi+A1albCDgnixohSqNLuFwIp5dzxPmTPm0iDQ6p1ZJr9uGw=="
},
+ "node_modules/tslib": {
+ "version": "2.8.1",
+ "resolved": "https://registry.npmjs.org/tslib/-/tslib-2.8.1.tgz",
+ "integrity": "sha512-oJFu94HQb+KVduSUQL7wnpmqnfmLsOA/nAh6b6EH0wCEoK0/mPeXU6c3wKDV83MkOuHPRHtSXKKU99IBazS/2w=="
+ },
+ "node_modules/typed-query-selector": {
+ "version": "2.12.0",
+ "resolved": "https://registry.npmjs.org/typed-query-selector/-/typed-query-selector-2.12.0.tgz",
+ "integrity": "sha512-SbklCd1F0EiZOyPiW192rrHZzZ5sBijB6xM+cpmrwDqObvdtunOHHIk9fCGsoK5JVIYXoyEp4iEdE3upFH3PAg=="
+ },
"node_modules/typedarray": {
"version": "0.0.6",
"resolved": "https://registry.npmjs.org/typedarray/-/typedarray-0.0.6.tgz",
@@ -8278,7 +8595,7 @@
"version": "5.8.2",
"resolved": "https://registry.npmjs.org/typescript/-/typescript-5.8.2.tgz",
"integrity": "sha512-aJn6wq13/afZp/jT9QZmwEjDqqvSGp1VT5GVg+f/t6/oVyrgXM6BY1h9BRh/O5p3PlUPAe+WuiEZOmb/49RqoQ==",
- "dev": true,
+ "devOptional": true,
"bin": {
"tsc": "bin/tsc",
"tsserver": "bin/tsserver"
@@ -8291,7 +8608,7 @@
"version": "6.20.0",
"resolved": "https://registry.npmjs.org/undici-types/-/undici-types-6.20.0.tgz",
"integrity": "sha512-Ny6QZ2Nju20vw1SRHe3d9jVu6gJ+4e3+MMpqu7pqE5HT6WsTSlce++GQmK5UXS8mzV8DSYHrQH+Xrf2jVcuKNg==",
- "dev": true
+ "devOptional": true
},
"node_modules/util-deprecate": {
"version": "1.0.2",
@@ -8318,14 +8635,6 @@
"webidl-conversions": "^3.0.0"
}
},
- "node_modules/wide-align": {
- "version": "1.1.5",
- "resolved": "https://registry.npmjs.org/wide-align/-/wide-align-1.1.5.tgz",
- "integrity": "sha512-eDMORYaPNZ4sQIuuYPDHdQvf4gyCF9rEEV/yPxGfwPkRodwEgiMUUXTx/dex+Me0wxx53S+NgUHaP7y3MGlDmg==",
- "dependencies": {
- "string-width": "^1.0.2 || 2 || 3 || 4"
- }
- },
"node_modules/wrap-ansi": {
"version": "7.0.0",
"resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-7.0.0.tgz",
@@ -8347,6 +8656,26 @@
"resolved": "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz",
"integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ=="
},
+ "node_modules/ws": {
+ "version": "8.18.2",
+ "resolved": "https://registry.npmjs.org/ws/-/ws-8.18.2.tgz",
+ "integrity": "sha512-DMricUmwGZUVr++AEAe2uiVM7UoO9MAVZMDu05UQOaUII0lp+zOzLLU4Xqh/JvTqklB1T4uELaaPBKyjE1r4fQ==",
+ "engines": {
+ "node": ">=10.0.0"
+ },
+ "peerDependencies": {
+ "bufferutil": "^4.0.1",
+ "utf-8-validate": ">=5.0.2"
+ },
+ "peerDependenciesMeta": {
+ "bufferutil": {
+ "optional": true
+ },
+ "utf-8-validate": {
+ "optional": true
+ }
+ }
+ },
"node_modules/y18n": {
"version": "5.0.8",
"resolved": "https://registry.npmjs.org/y18n/-/y18n-5.0.8.tgz",
@@ -8355,11 +8684,6 @@
"node": ">=10"
}
},
- "node_modules/yallist": {
- "version": "4.0.0",
- "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz",
- "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A=="
- },
"node_modules/yargs": {
"version": "16.2.0",
"resolved": "https://registry.npmjs.org/yargs/-/yargs-16.2.0.tgz",
@@ -8385,6 +8709,15 @@
"node": ">=10"
}
},
+ "node_modules/yauzl": {
+ "version": "2.10.0",
+ "resolved": "https://registry.npmjs.org/yauzl/-/yauzl-2.10.0.tgz",
+ "integrity": "sha512-p4a9I6X6nu6IhoGmBqAcbJy1mlC4j27vEPZX9F4L4/vZT3Lyq1VkFHw/V/PUcB9Buo+DG3iHkT0x3Qya58zc3g==",
+ "dependencies": {
+ "buffer-crc32": "~0.2.3",
+ "fd-slicer": "~1.1.0"
+ }
+ },
"node_modules/yn": {
"version": "3.1.1",
"resolved": "https://registry.npmjs.org/yn/-/yn-3.1.1.tgz",
@@ -8393,6 +8726,14 @@
"engines": {
"node": ">=6"
}
+ },
+ "node_modules/zod": {
+ "version": "3.25.20",
+ "resolved": "https://registry.npmjs.org/zod/-/zod-3.25.20.tgz",
+ "integrity": "sha512-z03fqpTMDF1G02VLKUMt6vyACE7rNWkh3gpXVHgPTw28NPtDFRGvcpTtPwn2kMKtQ0idtYJUTxchytmnqYswcw==",
+ "funding": {
+ "url": "https://github.com/sponsors/colinhacks"
+ }
}
}
}
diff --git a/app/tool/chart_visualization/package.json b/app/tool/chart_visualization/package.json
index 4b1b685..1e9189d 100644
--- a/app/tool/chart_visualization/package.json
+++ b/app/tool/chart_visualization/package.json
@@ -10,8 +10,8 @@
"dependencies": {
"@visactor/vchart": "^1.13.7",
"@visactor/vmind": "2.0.5",
- "canvas": "^2.11.2",
- "get-stdin": "^9.0.0"
+ "get-stdin": "^9.0.0",
+ "puppeteer": "^24.9.0"
},
"scripts": {
"test": "echo \"Error: no test specified\" && exit 1"
diff --git a/app/tool/chart_visualization/src/chartVisualize.ts b/app/tool/chart_visualization/src/chartVisualize.ts
index 5337074..c5091a3 100644
--- a/app/tool/chart_visualization/src/chartVisualize.ts
+++ b/app/tool/chart_visualization/src/chartVisualize.ts
@@ -1,8 +1,7 @@
-import Canvas from "canvas";
import path from "path";
import fs from "fs";
+import puppeteer from "puppeteer";
import VMind, { ChartType, DataTable } from "@visactor/vmind";
-import VChart from "@visactor/vchart";
import { isString } from "@visactor/vutils";
enum AlgorithmType {
@@ -26,17 +25,20 @@ const getBase64 = async (spec: any, width?: number, height?: number) => {
spec.animation = false;
width && (spec.width = width);
height && (spec.height = height);
- const cs = new VChart(spec, {
- mode: "node",
- modeParams: Canvas,
- animation: false,
- dpr: 2,
+ const browser = await puppeteer.launch();
+ const page = await browser.newPage();
+ await page.setContent(getHtmlVChart(spec, width, height));
+
+ const dataUrl = await page.evaluate(() => {
+ const canvas: any = document
+ .getElementById("chart-container")
+ ?.querySelector("canvas");
+ return canvas?.toDataURL("image/png");
});
- await cs.renderAsync();
-
- const buffer = await cs.getImageBuffer();
- return buffer;
+ const base64Data = dataUrl.replace(/^data:image\/png;base64,/, "");
+ await browser.close();
+ return Buffer.from(base64Data, "base64");
};
const serializeSpec = (spec: any) => {
@@ -53,11 +55,11 @@ const serializeSpec = (spec: any) => {
});
};
-async function getHtmlVChart(spec: any, width?: number, height?: number) {
+function getHtmlVChart(spec: any, width?: number, height?: number) {
return `
- VChart 示例
+ VChart Demo
@@ -161,7 +163,7 @@ async function saveChartRes(options: {
const base64 = await getBase64(spec, width, height);
fs.writeFileSync(savedPath, base64);
} else {
- const html = await getHtmlVChart(spec, width, height);
+ const html = getHtmlVChart(spec, width, height);
fs.writeFileSync(savedPath, html, "utf-8");
}
return savedPath;
diff --git a/config/config.example.toml b/config/config.example.toml
index e456051..7693ee8 100644
--- a/config/config.example.toml
+++ b/config/config.example.toml
@@ -98,3 +98,8 @@ temperature = 0.0 # Controls randomness for vision mode
# MCP (Model Context Protocol) configuration
[mcp]
server_reference = "app.mcp.server" # default server module reference
+
+# Optional Runflow configuration
+# Your can add additional agents into run-flow workflow to solve different-type tasks.
+[runflow]
+use_data_analysis_agent = false # The Data Analysi Agent to solve various data analysis tasks
diff --git a/run_flow.py b/run_flow.py
index 2c8121f..6c8f4b3 100644
--- a/run_flow.py
+++ b/run_flow.py
@@ -1,7 +1,9 @@
import asyncio
import time
+from app.agent.data_analysis import DataAnalysis
from app.agent.manus import Manus
+from app.config import config
from app.flow.flow_factory import FlowFactory, FlowType
from app.logger import logger
@@ -10,7 +12,8 @@ async def run_flow():
agents = {
"manus": Manus(),
}
-
+ if config.run_flow_config.use_data_analysis_agent:
+ agents["data_analysis"] = DataAnalysis()
try:
prompt = input("Enter your prompt: ")