jlab_aiidatree [IN-DEVELOPMENT]

A JupyterLab extension for exploring AiiDA databases. This is extension is intended to provide similar functionality for exploring graphs as the VS Code AiiDA Explorer extension:

• View Processes
• Filter by process state
• Expand processes with their incoming/outgoing nodes
• View node attributes stored on the database
• Visualise node graphs (with D3 Graph)
• Visualise StructureData (the ThreeJS)

This extension is composed of a Python package named jlab_aiidatree for the server extension and a NPM package named jlab_aiidatree for the frontend extension.

Install

To install the extension, execute:

pip install jlab_aiidatree

or also with aiida-core:

pip install jlab_aiidatree[aiida]
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Usage

Connecting to AiiDA

You can connect to an AiiDA instance in one of two ways:

1. Directly using aiida-core, installed in the same environment as jupyterlab (the default).
2. Through an AiiDA instance serving the AiiDA REST API.

To start an AiiDA REST server, firstly aiida-core must be installed with the rest extra dependencies:

pip install aiida-core[rest]~=1.6
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It is best to install this into a separate environment than you have your jupyterlab installation, to avoid dependency clashes.

Then you can start the REST server:

$ verdi restapi -H 127.0.0.5 -P 6789
* REST API running on http://127.0.0.5:6789/api/v4

To connect to this server, simply change the rest_url setting to this URL:

:::{seealso} https://aiida.readthedocs.io/projects/aiida-core/en/latest/howto/share_data.html?highlight=REST#launching-the-rest-api :::

:::{important} The URL is connected to from the server side of JupyterLab, i.e. where you are hosting it and not necessarily on your local machine. :::

Uninstall

To remove the extension, execute:

pip uninstall jlab_aiidatree

Requirements

• JupyterLab >= 3.0

Troubleshoot

If you are seeing the frontend extension, but it is not working, check that the server extension is enabled:

jupyter server extension list

If the server extension is installed and enabled, but you are not seeing the frontend extension, check the frontend extension is installed:

jupyter labextension list

Coming Features

• View Computers and attached codes
• View Groups and attached nodes

Contributing

Development install

Note: You will need NodeJS to build the extension package, e.g.

conda create -n jupyterlab-ext --override-channels --strict-channel-priority -c conda-forge -c anaconda jupyterlab=3 nodejs jupyter-packaging aiida-core~=1.6
conda activate jupyterlab-ext
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The jlpm command is JupyterLab's pinned version of yarn that is installed with JupyterLab. You may use yarn or npm in lieu of jlpm below.

# Clone the repo to your local environment
# Change directory to the jlab_aiidatree directory
# Install package in development mode
pip install -e .
# Link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite
# Server extension must be manually installed in develop mode
jupyter server extension enable jlab_aiidatree
# Rebuild extension Typescript source after making changes
jlpm run build

You can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension.

# Watch the source directory in one terminal, automatically rebuilding when needed
jlpm run watch
# Run JupyterLab in another terminal
jupyter lab

With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).

By default, the jlpm run build command generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command:

jupyter lab build --minimize=False

Development uninstall

# Server extension must be manually disabled in develop mode
jupyter server extension disable jlab_aiidatree
pip uninstall jlab_aiidatree

In development mode, you will also need to remove the symlink created by jupyter labextension develop command. To find its location, you can run jupyter labextension list to figure out where the labextensions folder is located. Then you can remove the symlink named jlab_aiidatree within that folder.

Deploying

See https://jupyterlab.readthedocs.io/en/stable/extension/extension_tutorial.html#packaging-your-extension:

1. Update the package.json version key

2. Rebuild the package: jlpm run build

3. Ensure all linting and tests pass

4. Build the distribution

   pip install build
   rm -rf dist
   python -m build -s
   python -m build

5. Upload to PyPI using twine

   pip install twine
   twine upload --skip-existing dist/*