JupyterLab 4扩展本地化开发遇prompt-toolkit依赖冲突问题

依赖冲突解决 #

• 优先用conda管理依赖，它能自动协调版本兼容性：

  conda install -c conda-forge jupyterlab-translate
  

• 若必须用pip，先升级questionary到兼容高版本prompt-toolkit的版本：

  pip install --upgrade questionary
  pip install jupyterlab-translate
  

• 上述方案无效时，创建全新conda环境隔离旧依赖：

  conda create -n jlab-extension python=3.10
  conda activate jlab-extension
  conda install jupyterlab=4
  pip install jupyterlab-translate
  

代码调整建议 #

你的代码中声明了未使用的ITranslatorConnector依赖，建议移除以减少不必要的资源加载；同时确保package.json中已添加@jupyterlab/translation依赖：

const plugin: JupyterFrontEndPlugin<void> = {
  id: 'hello_extension:plugin',
  description: 'JupyterLab extension.',
  autoStart: true,
  requires: [ITranslator, ISettingRegistry],
  activate: (app: JupyterFrontEnd, translator: ITranslator, settingRegistry: ISettingRegistry) => {
    const { commands } = app;
    const trans = translator.load('hello_extension');

    commands.addCommand("hello-command", {
      label: trans.__('MY LABEL'),
      caption: trans.__('MY LABEL'),
      execute: (args: any) => {
        console.log("hello");
      }
    });
  }
};

export default plugin;

内容的提问来源于stack exchange，提问作者caru koen