JupyterLab mime renderer for OpenSheetMusicDisplay
Project description
jupyterlab_osmd
First attempt at JupyterLab mime renderer for MusicXML (.muscixml
/ minme type application/vnd.recordare.musicxml
) using OpenSheetMusicDisplay
Works a bit...
pip install jupyterlab-osmd
Double click on a .musicxml
file in the JupyterLab file browser and it should render using OSMD.
Python API:
# Minimally
def OSMD(data=''):
bundle = {}
bundle['application/vnd.recordare.musicxml'] = data
display(bundle, raw=True)
# A far more elaborate version available as:
#from jupyterlab_osmd import OSMD
# This supports:
# - MusicXML string
# - path to .musicxml or compressed .mxl file
# - URL to musicxml file
with open("Downloads/xmlsamples/Telemann.musicxml", 'r') as f:
d = f.read()
OSMD(d)
Requirements
- JupyterLab >= 4.0.0
Install
To install the extension, execute:
pip install jupyterlab_osmd
Uninstall
To remove the extension, execute:
pip uninstall jupyterlab_osmd
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 jupyterlab_osmd directory
# Install package in development mode
pip install -e "."
# Install required node packages
npm install --save opensheetmusicdisplay uuid
# Link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite
# Rebuild extension Typescript source after making changes
jlpm 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 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 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
pip uninstall jupyterlab_osmd
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 jupyterlab-osmd
within that folder.
Testing the extension
Frontend tests
This extension is using Jest for JavaScript code testing.
To execute them, execute:
jlpm
jlpm test
Integration tests
This extension uses Playwright for the integration tests (aka user level tests). More precisely, the JupyterLab helper Galata is used to handle testing the extension in JupyterLab.
More information are provided within the ui-tests README.
Packaging the extension
See RELEASE
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file jupyterlab_osmd-0.1.2.tar.gz
.
File metadata
- Download URL: jupyterlab_osmd-0.1.2.tar.gz
- Upload date:
- Size: 1.3 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.0
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a568b72cf72364ab3ea01ddad5ad7ac2a5f14a79c368f8060ca7a8ee5c0771e7 |
|
MD5 | fb582ac4137eb27215a0fc96c772438c |
|
BLAKE2b-256 | f8bbb43d7caa07eebb11bed27a904f0e3a0359ecb1fbadd692fd774c9909976e |
File details
Details for the file jupyterlab_osmd-0.1.2-py3-none-any.whl
.
File metadata
- Download URL: jupyterlab_osmd-0.1.2-py3-none-any.whl
- Upload date:
- Size: 1.4 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.0
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1c59bf20c3a42385adbbe3d8647a0e949a1db63a081f3671771dd80d36c73ad0 |
|
MD5 | 838b29fd85a3a813b529c44a42f1fb41 |
|
BLAKE2b-256 | 947cc32bb2bee5dba2a1184a81e2d87adc9fb2665b2ceae2f61e5abff50a13b4 |