Merge pull request #71 from bollwyvl/bump-a-bunch-of-versions

Bump a bunch of versions

Author: hbcarlos

.github/workflows/build.yml

@@ -23,7 +23,7 @@ jobs:
       run: |
         set -eux
         jlpm
-        jlpm run eslint:check
+        jlpm eslint:check
         python -m pip install .
 
         jupyter labextension list

.gitignore

@@ -5,6 +5,8 @@ node_modules/
 .ipynb_checkpoints
 *.tsbuildinfo
 jupyterlab_blockly/labextension
+untitled*
+Untitled*
 
 # Created by https://www.gitignore.io/api/python
 # Edit at https://www.gitignore.io/?templates=python

README.md

@@ -64,21 +64,21 @@ pip install -e .
 # Link your development version of the extension with JupyterLab
 jupyter labextension develop . --overwrite
 # Rebuild extension Typescript source after making changes
-jlpm run build
+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 run watch
+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 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:
+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

binder/environment.yml

@@ -11,11 +11,11 @@ channels:
 
 dependencies:
   # runtime dependencies
-  - python >=3.8,<3.9.0a0
-  - jupyterlab >=3,<4.0.0a0
+  - python >=3.8,<3.12.0a0
+  - jupyterlab >=3.5,<4.0.0a0
   # labextension build dependencies
-  - nodejs >=16,<17
+  - nodejs >=18,<19
   - pip
   - wheel
   # additional packages for demos
-  # - ipywidgets
+  - ipywidgets

docs/conf.py

@@ -50,6 +50,25 @@
 # The theme to use for HTML and HTML Help pages.  See the documentation for
 # a list of builtin themes.
 html_theme = 'pydata_sphinx_theme'
+html_theme_options = {
+    'github_url': 'https://github.com/quantstack/jupyterlab-blockly',
+    'use_edit_page_button': True,
+    'icon_links': [
+        {
+            'name': 'PyPI',
+            'url': 'https://pypi.org/project/jupyterlab-blockly',
+            'icon': 'fa-solid fa-box',
+        },
+    ],
+    'pygment_light_style': 'github-light',
+    'pygment_dark_style': 'github-dark'
+}
+html_context = {
+    'github_user': 'quantstack',
+    'github_repo': 'jupyterlab-blockly',
+    'github_version': 'main',
+    'doc_path': 'docs',
+}
 
 # Add any paths that contain custom static files (such as style sheets) here,
 # relative to this directory. They are copied after the builtin static files,

docs/environment.yml

@@ -8,7 +8,6 @@ dependencies:
   - myst-parser
   - pydata-sphinx-theme
   - pip:
-    - jupyterlite
+    - jupyterlite ==0.1.0b18
     - jupyterlite-sphinx
     - jupyterlite-xeus-lua
-    

docs/installation.md

@@ -48,7 +48,7 @@ pre-commit install
 # Link your development version of the extension with JupyterLab
 jupyter labextension develop . --overwrite
 # Rebuild extension Typescript source after making changes
-jlpm run build
+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.

docs/other_extensions.md

@@ -3,7 +3,7 @@
 The JupyterLab-Blockly extension is ready to be used as a base for other projects: you can register new Blocks, Toolboxes and Generators. It is a great tool for fast prototyping.
 
 ## Creating a new JupyterLab extension
-You can easily create a new JupyterLab extension by using a `cookiecutter`. You can read more documentation about `cookiecutters` [here](https://cookiecutter.readthedocs.io/en/latest/), but the process is fairly straight-forward. 
+You can easily create a new JupyterLab extension by using a `cookiecutter`. You can read more documentation about `cookiecutters` [here](https://cookiecutter.readthedocs.io/en/latest/), but the process is fairly straight-forward.
 
 After running the following command:
 ```
@@ -20,7 +20,7 @@ Firstly you need to install and add `jupyterlab-blockly` as a dependency for you
 jlpm add jupyterlab-blockly
 ```
 
-Once it is part of your project, all you need to do is import `IBlocklyRegistry`, as it follows: 
+Once it is part of your project, all you need to do is import `IBlocklyRegistry`, as it follows:
 ```typescript
 // src/index.ts
 
@@ -40,7 +40,7 @@ The `IBlocklyRegistry` offers a function `registerBlocks`, which allows you to i
    *
    * @argument blocks Blocks to register.
    */
-  registerBlocks(blocks: JSONObject[]): void {
+  registerBlocks(blocks: BlockDefinition[]): void {
     Blockly.defineBlocksWithJsonArray(blocks);
   }
 ```
@@ -56,7 +56,7 @@ Using the `registerToolbox` function, provided by `IBlocklyRegistry`, you can re
    *
    * @argument value Toolbox to register.
    */
-  registerToolbox(name: string, value: JSONObject): void {
+  registerToolbox(name: string, value: ToolboxDefinition): void {
     this._toolboxes.set(name, value);
   }
 ```
@@ -86,7 +86,7 @@ Lastly, `IBlocklyRegistry` offers the function `registerGenerator` which lets yo
 
 
 ## Example - JupyterLab-Niryo-One
-The [JupyterLab-Niryo-One](https://github.com/QuantStack/jupyterlab-niryo-one/) extension was built on top of JupyterLab-Blockly and poses as the perfect example. The [Github repository](https://github.com/QuantStack/jupyterlab-niryo-one/) gives access to its entire codebase. 
+The [JupyterLab-Niryo-One](https://github.com/QuantStack/jupyterlab-niryo-one/) extension was built on top of JupyterLab-Blockly and poses as the perfect example. The [Github repository](https://github.com/QuantStack/jupyterlab-niryo-one/) gives access to its entire codebase.
 
 The following code snippet showcases how to register a new toolbox, `BlocklyNiryo.Toolbox`, as `niryo`.
 ```typescript
@@ -158,7 +158,7 @@ You will need to request the `jupyterlab-blockly` package as a dependency of you
 setup_args = dict(
   ...
   install_requires=['jupyterlab-blockly>=0.1.1,<0.2']
-  ... 
+  ...
 )
 ```
 
@@ -169,14 +169,14 @@ Moreover, as we are working with deduplication of dependencies and the extension
 
 "jupyterlab": {
   "sharedPackages": {
-     "jupyterlab-blockly": { 
-       "bundled": false, 
-       "singleton": true 
-     }, 
-     "blockly": { 
-       "bundled": false, 
-       "singleton": true 
-     } 
+     "jupyterlab-blockly": {
+       "bundled": false,
+       "singleton": true
+     },
+     "blockly": {
+       "bundled": false,
+       "singleton": true
+     }
    }
  }
 ```

lerna.json

@@ -1,6 +1,5 @@
 {
-  "lerna": "5.1.0",
   "version": "0.2.1",
-  "npmClient": "yarn",
+  "npmClient": "jlpm",
   "useWorkspaces": true
 }

package.json

@@ -23,20 +23,21 @@
     ]
   },
   "scripts": {
-    "build": "lerna run build",
-    "build:prod": "lerna run build:prod",
-    "clean": "lerna run clean",
-    "clean:all": "lerna run clean:all",
+    "build": "lerna run --stream build",
+    "build:prod": "lerna run --stream build:prod",
+    "clean": "lerna run --stream clean",
+    "clean:all": "lerna --stream run clean:all",
+    "deduplicate": "yarn-deduplicate -s fewer --fail",
     "eslint": "jlpm eslint:check --fix",
     "eslint:check": "eslint . --ext .ts,.tsx",
     "install": "lerna bootstrap",
-    "install:extension": "lerna run install:extension",
+    "install:extension": "lerna run --stream install:extension",
     "lint": "jlpm prettier && jlpm eslint",
     "lint:check": "jlpm prettier:check && jlpm eslint:check",
     "prettier": "jlpm prettier:base --write --list-different",
     "prettier:base": "prettier \"**/*{.ts,.tsx,.js,.jsx,.css}\"",
     "prettier:check": "jlpm prettier:base --check",
-    "watch": "lerna run watch",
+    "watch": "lerna run --stream watch",
     "postinstall": "patch-package"
   },
   "dependencies": {
@@ -49,10 +50,10 @@
     "patch-package": "^6.4.7",
     "prettier": "^2.5.1",
     "postinstall-postinstall": "^2.1.0",
-    "typescript": "~4.5.2"
+    "typescript": "~4.9.5"
   },
   "devDependencies": {
-    "lerna": "5.1.0",
-    "yarn": "1.22.17"
+    "lerna": "^6.5.1",
+    "yarn-deduplicate": "^6.0.0"
   }
 }