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Jupyter Storage Explorer launcher

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Adds Storage Explorer to JupyterLab's launcher (section Other) and command palette. It opens Jupyter Storage Explorer in its own tab, on the folder JupyterLab's file browser shows.

The Storage Explorer item in JupyterLab's launcher

It also integrates every Storage Explorer, in its tab or in a notebook, with JupyterLab:

  • Drag and drop: drag files onto JupyterLab's file browser to download them there.
  • Open files in a tab: double-click a file to open it in JupyterLab's own editor or viewer; Save writes it back to the storage.
  • Query data in a tab: open the data browser in a tab of its own.

Installation

pip install jupyter-storage-explorer-launcher

Install it in the environment of JupyterLab and of the default kernel (on JupyterHub, usually the single-user image), then restart JupyterLab. Requires JupyterLab 4.0 or later.

Or from JupyterLab itself, without a terminal: run this in a notebook, then reload the page (no restart needed):

%pip install jupyter-storage-explorer-launcher

This works when the notebook's kernel runs in JupyterLab's own environment, as the default kernel usually does.

Then see Using the explorer.

Configuration

Click the ⚙ button at the right of the tab's toolbar to edit your settings, a Python file (launcher.py), in JupyterLab's editor. If you have none, it offers to create one from a template with an example of each setting: uncomment and edit the ones you need, then save. Reload the web browser, then open the explorer tab again to apply the changes.

For example, to open each tab on the data lake and the folder it starts on, with a preview at once:

def filesystems():
    return {
        "Here": ".",  # the folder the tab opens on
        "Data lake": "abfs://lake@myaccount.dfs.core.windows.net",
    }


def parameters():
    return {"open_preview": True}

The file has some of these functions, all optional:

Function Returns
filesystems() {name: URL or fsspec filesystem}
formats() Formats of your own (DataFormat), tried before the defaults
format_options() Options for the default formats (Format options)
operations() File operations of your own (FileSystemOperations), tried before the defaults
filesystem_mappers() How storages are told apart and their URLs (FileSystemMapper)
transfer_policy() Rules of a transfer policy
parameters() Other StorageExplorer arguments (StorageExplorer options), e.g. {"height": "fill"}

Other configuration files

Your files are in Jupyter's configuration directory, which jupyter --config-dir prints: ~/.jupyter by default (on Windows, %USERPROFILE%\.jupyter), or $JUPYTER_CONFIG_DIR where that is set. launcher.py is in its storage-explorer folder.

Icons

To change the explorer's icons, use JupyterLab's custom.css (see Icons), which applies to the launcher's tabs and to explorers in notebooks alike.

Bookmarks and query settings

The tabs share bookmarks and the data browser's query settings in storage-explorer/states.json in the same directory, unless parameters() sets states (another file's path, or None: in each tab's memory).

Layers of the configuration file

Administrators can set up the tab for everyone: a storage-explorer/launcher.py in any of Jupyter's configuration directories (jupyter --paths, config section) is read, e.g. /etc/jupyter/storage-explorer/launcher.py for the whole system or <environment>/etc/jupyter/storage-explorer/launcher.py for one Python environment (e.g. a JupyterHub image). Each file is a layer, applied from the system's to the user's, so users' files usually come last. A later layer changes an earlier one's settings this way:

Function Merged with earlier layers
filesystems() By name: added or replaced; None removes one
format_options(), parameters() By name
formats(), operations(), filesystem_mappers() Later layers' first, all before the defaults
transfer_policy() Later layers' rules first, so they decide first

final() returns the settings later layers cannot change: function names (except parameters) and parameter names. For example, /etc/jupyter/storage-explorer/launcher.py:

def filesystems():
    return {
        "Here": ".",
        "Data lake": "abfs://lake@myaccount.dfs.core.windows.net",
    }


def transfer_policy():
    # No downloads from the lake to users' computers or to the Jupyter server.
    return [
        {"rule": "deny", "src": r"abfs://lake@.*", "dest": "browser:///.*"},
        {"rule": "deny", "src": r"abfs://lake@.*", "dest": "jupyterlab://.*"},
    ]


def final():
    return ["filesystems", "transfer_policy"]  # users cannot change these

Final settings are not a security boundary: users can still create explorers in notebooks.

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