vscode-deephaven

Deephaven in VS Code

• Run Python dh scripts from vscode against a running DH core server
  • Run all
  • Run selected code
• View output in vscode panels

Installation

Note: There are some vscode bugs that cause some flakiness with the run button. vscode v90 introduced an optional workbench.editor.alwaysShowEditorActions setting. Setting this to true improves the experience here. Namely the run button will not disappear when running commands or selecting its dropdown. See #1 for more details.

Connecting to a Server

Core server http://localhost:10000/ is configured by default and doesn't require any additional config. Additional connections can be configured in vscode settings.

e.g. .vscode/settings.json

{
  // Core servers
  "deephaven.coreServers": [
    "http://localhost:10000/",
    "http://localhost:10001"
  ]
}

To select the active connection that scripts will be run against, click the connection picker in the bottom status bar of vscode.

Note: If you don't select a connection, the first one will be automatically used the first time a script is run.

Then select one of the servers:

Running Scripts

Scripts will be run against the active connection or default to the first connection if none is selected.

1. Start a DH core server at http://localhost:1000

2. Open a DH Python script in vscode

3. Click the caret on the Run button in the top right of the editor and select Run Deephaven File

   

Note that vscode should remember your selection so you can just click the run button (play icon) the next time; however, we have observed cases where this does not always work.

Run a selection

1. Select text to run

2. Click the caret on the Run button in the top right of the editor and select Run Deephaven Selected Lines

   

Note that vscode should remember your selection so you can just click the run button (play icon) the next time; however, we have observed cases where this does not always work.

Code Snippets

The vscode-deephaven extension comes with some predefined python snippets. These insert pre-defined code snippets into an editor. To use, simply type ui in an opened python file to see available snippets.