Version 1.0.0 Release of the VScode spaCy extension.

The extension provides additional tooling and features for working with spaCy's config files.

🚀 Quickstart

From the VS Code Marketplace

Step 1. Install a supported version of Python on your system (>=3.7)
Step 2. Install the Python Extension for Visual Studio Code
Step 3. Create a virtual python environment
Step 4. Install all python requirements
- spaCy >= 3.4.4
- pygls >= 1.0.0
Step 5. Install spaCy Extension for Visual Studio Code by searching in the VS Code marketplace
Step 6. Reload your VScode client
Step 7. Select your python environment by clicking on the spaCy status bar on the bottom.

Step 1. Download the .vsix file from the release
Step 2. Install a supported version of Python on your system (>=3.7)
Step 3. Install the Python Extension for Visual Studio Code
Step 4. Create a virtual python environment
Step 5. Install all python requirements
- spaCy >= 3.4.4
- pygls >= 1.0.0
Step 6. Install spaCy Extension for Visual Studio Code (right-click on the .vsix file inside VScode and click on install extension)
Step 7. Reload your VScode client
Step 8. Select your python environment by clicking on the spaCy status bar on the bottom.

You are ready to work with .cfg files in spaCy!

The extension displays additional information on hover for some components and validates the config file on open.

The hover feature provides three different types of information.

The function registry
Functions within the config file are registered within spaCy's registry system. When one of these functions is hovered over, the feature will provide information about the function and its arguments, along with a link to the code for the function, if available.
Resolving references to variables
Variables are denoted in the config file as ${<variable-name>}. When a variable is hovered over, the feature will provide the value of that variable specified in the config file.
Section titles
The config system is separated by sections such as [training.batcher] or [components]. When a section, such as "training" or "components", or subsection, such as "batcher", is hovered over, the feature will provide a description of it, if available.