Datalayer VS Code Extension - v0.0.9
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    Interface NativeKernelInfo

    Kernel connection information returned from native pickers. Contains all necessary details to establish a connection to either a local Python environment or a remote Jupyter server.

    interface NativeKernelInfo {
        displayName: string;
        environment?: Environment;
        id: string;
        kernelSpec?: {
            argv?: string[];
            display_name: string;
            language: string;
            metadata?: Record<string, unknown>;
            name: string;
        };
        pythonPath?: string;
        serverUrl?: string;
        token?: string;
        type: "python-environment"
        | "jupyter-server";
    }
    Index

    Properties

    displayName environment? id kernelSpec? pythonPath? serverUrl? token? type

    Properties

    displayName: string

    Human-readable display name for the kernel

    environment?: Environment

    Python environment object from the VS Code Python extension

    id: string

    Unique identifier for this kernel connection

    kernelSpec?: {
        argv?: string[];
        display_name: string;
        language: string;
        metadata?: Record<string, unknown>;
        name: string;
    }

    Jupyter kernel specification with execution details

    Type Declaration

    • Optionalargv?: string[]

      Command line arguments to launch the kernel

    • display_name: string

      Display name for the kernel

    • language: string

      Programming language of the kernel

    • Optionalmetadata?: Record<string, unknown>

      Additional metadata about the kernel

    • name: string

      Internal name of the kernel

    pythonPath?: string

    Path to the Python executable (only for python-environment type)

    serverUrl?: string

    Base URL of the Jupyter server (only for jupyter-server type)

    token?: string

    Authentication token for the Jupyter server

    type: "python-environment" | "jupyter-server"

    The type of kernel source: local Python environment or remote Jupyter server

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