Skip to main content

structured_text

Github Actions Status

Interpret human entered text and convert it into structured information.

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

Requirements

  • JupyterLab >= 3.0

Install

To install the extension, execute:

pip install structured_text

Uninstall

To remove the extension, execute:

pip uninstall structured_text

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

Contributing

Development install

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

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 structured_text 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 structured_text
# 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 structured_text
pip uninstall structured_text

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 structured_text within that folder.

Packaging the extension

See RELEASE

Release files for structured-text 0.0.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for structured-text 0.0.2
File Size Uploaded
structured_text-0.0.2.tar.gz 126.3 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for structured-text 0.0.2
File Interpreter ABI Platform
structured_text-0.0.2-py3-none-any.whl Python 3 none any Details

Total release size: 156.9 kB

Release files / structured_text-0.0.2.tar.gz

Download URL structured_text-0.0.2.tar.gz
Size 126.3 kB
Tags Source
SHA-256 checksum
How to use checksums
fd05985fb6584e344591d6f67df2d4725df5562d0df1c13a08c6408783b55490
BLAKE2b-256 checksum
How to use checksums
b100ba06506c5b422e8b5961852c979c544b1a065c57ded14aecbab4458d186a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.25.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.8.5

Release files / structured_text-0.0.2-py3-none-any.whl

Download URL structured_text-0.0.2-py3-none-any.whl
Size 30.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
2d3e3b9546cd7fa9c6465c31e16dac226681fa8b32d00d5147973abe6a04e2fb
BLAKE2b-256 checksum
How to use checksums
59b55dce0777a8c1c4f6c56249eb1115ff732061853423d94d29708e64215563
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.25.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.8.5

Release history Release notifications | RSS feed

This release

0.0.2 This release

2 release files

0.0.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page