# cate_jl_ext
[](https://github.com/github_username/cate-jl-ext/actions/workflows/build.yml)
Cate JupyterLab extension
This extension allows running Cate App within JupyterLab.
The extension is composed of a Python package named `cate_jl_ext`
for the server extension and a NPM package named `cate-jl-ext`
for the frontend extension.
---
**NOTE**
This extension is still experimental and has neither been packaged
nor deployed. Refer to the section **Development** below for dev installs.
---
## Requirements
- JupyterLab >= 3.0
- cate >= 3.1.4
## Install
To install the extension, execute:
```bash
pip install cate_jl_ext
```
## Uninstall
To remove the extension, execute:
```bash
pip uninstall cate_jl_ext
```
## Troubleshoot
If you are seeing the frontend extension, but it is not working, check
that the server extension is enabled:
```bash
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:
```bash
jupyter labextension list
```
## Development
### Setup environment
Make sure to have a source installation of
[cate](https://github.com/CCI-Tools/cate) in a dedicated Python
environment.
```bash
cd ${projects}
git clone https://github.com/CCI-Tools/cate.git
cd cate
mamba env create
```
Activate `cate` environment and install cate in editable (development) mode:
```bash
conda activate cate
pip install -ve .
```
Update environment with required packages for building and running
the JupyterLab extension.
Note, the version of the `jupyterlab` in our development environment
should match the version of the target system. We also install
`jupyter-server-proxy`.
```bash
mamba install -c conda-forge -c nodefaults jupyterlab jupyter-server-proxy
```
Also install some packaging and build tools:
```bash
mamba install -c conda-forge -c nodefaults nodejs jupyter-packaging
pip install build
```
Refer also to the [JupyterLab Extension Tutorial](https://jupyterlab.readthedocs.io/en/stable/extension/extension_tutorial.html)
for the use these tools.
### Install extension from sources
Make sure, `xcube` environment is active:
```bash
conda activate xcube
```
Clone Cate JupyterLab extension repository next to the `cate` source
folder:
```bash
cd ${projects}
git clone https://github.com/CCI-Tools/cate-jl-ext.git
cd cate-jl-ext
```
Install the initial project dependencies and install the extension into
the JupyterLab environment. Copy the frontend part of the extension into
JupyterLab. We can run this pip install command again every time we make
a change to copy the change into JupyterLab.
```bash
pip install -ve .
```
Create a symbolic link from JupyterLab to our source directory.
This means our changes are automatically available in JupyterLab:
```bash
jupyter labextension develop --overwrite .
```
If successful, we can run JupyterLab and check if the extension
works as expected:
```bash
jupyter lab
```
### Build after changes
Run the following to rebuild the extension. This will be required
after any changes of `package.json` or changes of frontend TypeScript
files and other resources.
```bash
jlpm run build
```
If you wish to avoid building after each change, you can run the
```bash
jlpm run watch
```
from your extension directory in another terminal.
This will automatically compile the TypeScript files as they
are changed and saved.
## Contributing
### Development install
Note: You will need NodeJS to build the extension package.
The `jlpm` command is JupyterLab's pinned version of
[yarn](https://yarnpkg.com/) that is installed with JupyterLab. You may use
`yarn` or `npm` in lieu of `jlpm` below.
```bash
# Clone the repo to your local environment
# Change directory to the cate_jl_ext directory
# Install package in development mode
pip install -e ".[test]"
# 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 cate_jl_ext
# 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.
```bash
# 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:
```bash
jupyter lab build --minimize=False
```
### Development uninstall
```bash
# Server extension must be manually disabled in develop mode
jupyter server extension disable cate_jl_ext
pip uninstall cate_jl_ext
```
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 `cate-jl-ext` within that folder.
### Testing the extension
#### Server tests
This extension is using [Pytest](https://docs.pytest.org/) for Python code testing.
Install test dependencies (needed only once):
```sh
pip install -e ".[test]"
# Each time you install the Python package, you need to restore the front-end extension link
jupyter labextension develop . --overwrite
```
To execute them, run:
```sh
pytest -vv -r ap --cov cate_jl_ext
```
#### Frontend tests
This extension is using [Jest](https://jestjs.io/) for JavaScript code testing.
To execute them, execute:
```sh
jlpm
jlpm test
```
#### Integration tests
This extension uses [Playwright](https://playwright.dev/docs/intro/) for the integration tests (aka user level tests).
More precisely, the JupyterLab helper [Galata](https://github.com/jupyterlab/jupyterlab/tree/master/galata) is used to handle testing the extension in JupyterLab.
More information are provided within the [ui-tests](./ui-tests/README.md) README.
### Packaging the extension
See [RELEASE](RELEASE.md)