This repo contains a VS Code extension for Prodigy, our scriptable annotation tool for creating training data for machine learning models. It lets you run Prodigy within a VS Code Panel, and annotate as you develop your models and applications.

In order to use this extension, you'll need a license for Prodigy—see this page for more details. For issues and questions, please use the Prodigy Support Forum. If you've found a bug, feel free to submit a pull request

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Start a Prodigy session in a terminal, e.g.:

prodigy ner.manual my_set blank:en example/news_headlines.jsonl --label PERSON,ORG,PRODUCT

In VS Code, open the Command Palette (Ctrl + Shift + P) and select Open Prodigy. Execute it, and you will have a new Prodigy panel on the side.

This extension contributes the following settings:

You need Visual Studio Code and Typescript for development. First, clone this repository:

git clone [email protected]:explosion/vscode-prodigy.git

and open the vscode-prodigy folder in Code:

cd vscode-prodigy
code .

• Press F5 to open a new window with your extension loaded.
• Run your command from the command palette by pressing (Ctrl+Shift+P or Cmd+Shift+P on Mac) and typing Open Prodigy.
• Set breakpoints in your code inside src/extension.ts to debug your extension.
• Find output from your extension in the debug console.

• You can relaunch the extension from the debug toolbar after changing code in src/extension.ts.
• You can also reload (Ctrl+R or Cmd+R on Mac) the VS Code window with your extension to load your changes.

• Open the debug viewlet (Ctrl+Shift+D or Cmd+Shift+D on Mac) and from the launch configuration dropdown pick Extension Tests.
• Press F5 to run the tests in a new window with your extension loaded.
• See the output of the test result in the debug console.
• Make changes to src/test/suite/extension.test.ts or create new test files inside the test/suite folder.
  • The provided test runner will only consider files matching the name pattern **.test.ts.