Robocorp Visual Studio Code Overview

Install the Robocorp Code and Robot Framework Language Server extensions for Visual Studio Code from the Visual Studio Marketplace.

Robocorp Code and Robot Framework Language Server extensions for Visual Studio Code

Robocorp extensions for Visual Studio Code

Creating a new robot

  • Open the Command Palette (macOS: Shift-Command-P, Windows / Linux: Ctrl+Shift+P).
  • Select Robocorp: Create Robot.

Command Palette

Select the Standard template

Select a template

Note that a bit more extensive Extended template and a pure Python template are also available.

Provide a name for the robot

Provide a name for the robot

Running the robot

You can run the robot in an isolated environment like it would be run in the cloud or in self-hosted environments.

The run:

  • Packages the robot just like when uploading to Robocorp Cloud.
  • Sets up a clean environment and executes the robot, just like the App and Cloud containers do.
  • Displays standard output and the results in the Debug Console panel.

The run gives you a good grasp on if your robot will work outside your own computer and if you have everything set up correctly in your robot.yaml and conda.yaml files.

Running using Command Palette

  • Open the Command Palette (macOS: Shift-Command-P, Windows: Ctrl+Shift+P).
  • Select Robocorp: Run Robot.
  • If you have multiple robots in the opened directory, select the one you want to run.

Running using the Activity Bar

  • Click the Robocorp icon in the Activity Bar.
  • Select the robot and the task.
  • Click the launch icon.

Robocorp Activity Bar

Running using run configuration

Another way to run your robot is to use a standard VS Code run configuration.

Open the tasks.robot file

Open the tasks.robot file

Click the Run icon and click on create a launch.json file

Create a launch.json file from the Run section

Click the Add Configuration button

Click the Add Configuration button

Select Robot: Run .robot file and save the launch.json file

Select Robot: Run .robot file and save the launch.json file

Running the robot

Select the tasks.robot file and run the robot by pressing the Robot: Current File button in the Run section, or by pressing the F5 key on your keyboard.

Run the robot

Debugging the robot

You can add breakpoints and debug the robot execution.

  • Add a breakpoint in the robot script.

Debugging using the Command Palette

  • Open the Command Palette (macOS: Shift-Command-P, Windows: Ctrl+Shift+P).
  • Select Robocorp: Debug Robot.

Debugging using the Activity Bar

  • Click the Robocorp icon in the Activity Bar.
  • Select the robot and the task.
  • Click the debug icon.

Linking to Robocorp Cloud

  • Open the Command Palette (macOS: Shift-Command-P, Windows: Ctrl+Shift+P).
  • Select Robocorp: Link to Robocorp Cloud.
  • Press Enter to open Robocorp Cloud, where you can add new access credentials.
  • Click Add Credential.
  • Provide a name, click Add.
  • Click on the View icon.
  • Click Copy to clipboard.
  • In VS Code, paste the access credential you copied from Robocorp Cloud.

Unlinking and removing credentials from Robocorp Cloud

  • Open the Command Palette (macOS: Shift-Command-P, Windows: Ctrl+Shift+P).
  • Select Robocorp: Unlink and remove credentials from Robocorp Cloud.

Uploading the robot to Robocorp Cloud

  • Open the Command Palette (macOS: Shift-Command-P, Windows: Ctrl+Shift+P).
  • Select Robocorp: Upload Robot to the Robocorp Cloud.
  • Select a workspace.
  • Create a new robot or select an existing robot to overwrite.

Video instructions

You can also see the whole workflow and follow along in this short video series:

Watch us code a full robot from scratch in this live-coding video. The robot Google Translates song lyrics from source to target language and saves the original and the translated lyrics as text files:

Changelog

View the Robocorp extension changelog to keep up-to-date with improvements and new features!