From f1b8af966324394889b4d1f3685382c683faee0f Mon Sep 17 00:00:00 2001 From: ReenigneArcher <42013603+ReenigneArcher@users.noreply.github.com> Date: Tue, 20 Aug 2024 21:39:29 -0400 Subject: [PATCH] ci: clean notebooks --- .github/workflows/update-pages.yml | 10 + README.md | 10 +- notebook/dashboard.ipynb | 2659 +--------------------------- requirements-dev.txt | 1 + 4 files changed, 108 insertions(+), 2572 deletions(-) diff --git a/.github/workflows/update-pages.yml b/.github/workflows/update-pages.yml index 5ef5b540..abc1bdb5 100644 --- a/.github/workflows/update-pages.yml +++ b/.github/workflows/update-pages.yml @@ -40,6 +40,16 @@ jobs: --verbose \ . + - name: nb-clean + run: | + output=$(find . -name '*.ipynb' -exec nb-clean check {} \;) + + # fail if there are any issues + if [ -n "$output" ]; then + echo "$output" + exit 1 + fi + update_pages: runs-on: ubuntu-latest steps: diff --git a/README.md b/README.md index 1785da57..1b2975e0 100644 --- a/README.md +++ b/README.md @@ -5,7 +5,7 @@ A Jupyter notebook that creates a dashboard for viewing LizardByte repository da 1. Notebooks should be committed with the output cleared. ```bash - jupyter nbconvert --to notebook --ClearOutputPreprocessor.enabled=True --inplace ./notebook/dashboard.ipynb + find . -name '*.ipynb' -exec nb-clean clean {} \; ``` 2. You can create a preview of the notebook in html by running the following commands: @@ -22,3 +22,11 @@ A Jupyter notebook that creates a dashboard for viewing LizardByte repository da --output=index \ ./notebook/dashboard.ipynb ``` + +### Reviewing PRs +Notebook diffs are difficult to read. To make reviewing easier, you can enable the +[Rich Jupyter Notebook Diff](https://github.blog/changelog/2023-03-01-feature-preview-rich-jupyter-notebook-diffs/) +feature in your GitHub account settings. + +Local options are also available. See [this](https://www.reviewnb.com/git-jupyter-notebook-ultimate-guide) +for more information. diff --git a/notebook/dashboard.ipynb b/notebook/dashboard.ipynb index 0c891940..9aac083d 100644 --- a/notebook/dashboard.ipynb +++ b/notebook/dashboard.ipynb @@ -1,8 +1,9 @@ { "cells": [ { - "metadata": {}, "cell_type": "markdown", + "id": "4aed1755a10d75d7", + "metadata": {}, "source": [ "
\n", "

LizardByte Developer Dashboard

\n", @@ -65,18 +66,14 @@ "
\n", "\n", "## Repository Data" - ], - "id": "4aed1755a10d75d7" + ] }, { - "metadata": { - "collapsed": true, - "jupyter": { - "outputs_hidden": true, - "source_hidden": true - } - }, "cell_type": "code", + "execution_count": null, + "id": "initial_id", + "metadata": {}, + "outputs": [], "source": [ "# Initialize the environment\n", "\n", @@ -193,25 +190,22 @@ "print(f'Total Open PRs: {df[\"prs\"].apply(len).sum()}')\n", "print(f'Open issues in active repositories: {df_repos[\"issues\"].apply(len).sum()}')\n", "print(f'Open PRs in active repositories: {df_repos[\"prs\"].apply(len).sum()}')" - ], - "id": "initial_id", - "outputs": [], - "execution_count": null + ] }, { - "metadata": {}, "cell_type": "markdown", - "source": "### Star Gazers", - "id": "616d87e4b0c3dea5" + "id": "616d87e4b0c3dea5", + "metadata": {}, + "source": [ + "### Star Gazers" + ] }, { "cell_type": "code", + "execution_count": null, "id": "337aca37b216cc0d", - "metadata": { - "jupyter": { - "source_hidden": true - } - }, + "metadata": {}, + "outputs": [], "source": [ "# Stars\n", "df_stars = df_repos.sort_values(\n", @@ -235,13 +229,14 @@ " yaxis_showticklabels=False,\n", ")\n", "fig.show()" - ], - "outputs": [], - "execution_count": null + ] }, { - "metadata": {}, "cell_type": "code", + "execution_count": null, + "id": "a08398efe666a399", + "metadata": {}, + "outputs": [], "source": [ "# Star History\n", "stargazer_data = []\n", @@ -273,25 +268,22 @@ ")\n", "\n", "fig.show()" - ], - "id": "a08398efe666a399", - "outputs": [], - "execution_count": null + ] }, { - "metadata": {}, "cell_type": "markdown", - "source": "### Forks", - "id": "d46c30581ed069fd" + "id": "d46c30581ed069fd", + "metadata": {}, + "source": [ + "### Forks" + ] }, { "cell_type": "code", + "execution_count": null, "id": "7c6ffc3f9b56adc6", - "metadata": { - "jupyter": { - "source_hidden": true - } - }, + "metadata": {}, + "outputs": [], "source": [ "# Forks\n", "df_forks = df_repos.sort_values(\n", @@ -315,24 +307,22 @@ " yaxis_showticklabels=False,\n", ")\n", "fig.show()" - ], - "outputs": [], - "execution_count": null + ] }, { - "metadata": {}, "cell_type": "markdown", - "source": "### Open Issues", - "id": "89ad81f3285c93d5" + "id": "89ad81f3285c93d5", + "metadata": {}, + "source": [ + "### Open Issues" + ] }, { "cell_type": "code", + "execution_count": null, "id": "ce4c9d640154b774", - "metadata": { - "jupyter": { - "source_hidden": true - } - }, + "metadata": {}, + "outputs": [], "source": [ "# Open Issues\n", "df_issues = df_repos.copy()\n", @@ -355,24 +345,22 @@ " yaxis_showticklabels=False,\n", ")\n", "fig.show()" - ], - "outputs": [], - "execution_count": null + ] }, { - "metadata": {}, "cell_type": "markdown", - "source": "### Open PRs", - "id": "63b0eb1841d850be" + "id": "63b0eb1841d850be", + "metadata": {}, + "source": [ + "### Open PRs" + ] }, { "cell_type": "code", + "execution_count": null, "id": "4f473fe7a839b01c", - "metadata": { - "jupyter": { - "source_hidden": true - } - }, + "metadata": {}, + "outputs": [], "source": [ "# Open PRs\n", "pr_data = []\n", @@ -417,24 +405,22 @@ " xaxis_title='Repository',\n", ")\n", "fig.show()" - ], - "outputs": [], - "execution_count": null + ] }, { - "metadata": {}, "cell_type": "markdown", - "source": "### License Distribution", - "id": "3c067ce1b06d52da" + "id": "3c067ce1b06d52da", + "metadata": {}, + "source": [ + "### License Distribution" + ] }, { "cell_type": "code", + "execution_count": null, "id": "2bd8913a09eb4802", - "metadata": { - "jupyter": { - "source_hidden": true - } - }, + "metadata": {}, + "outputs": [], "source": [ "# License distribution\n", "license_counts = df_repos.groupby(['license', 'repo']).size().reset_index(name='count')\n", @@ -448,24 +434,22 @@ " hover_data={'repo': True, 'count': False},\n", ")\n", "fig_treemap.show()" - ], - "outputs": [], - "execution_count": null + ] }, { - "metadata": {}, "cell_type": "markdown", - "source": "### Coverage", - "id": "1e7ac0186201244b" + "id": "1e7ac0186201244b", + "metadata": {}, + "source": [ + "### Coverage" + ] }, { "cell_type": "code", + "execution_count": null, "id": "c8dced4bcfff438", - "metadata": { - "jupyter": { - "source_hidden": true - } - }, + "metadata": {}, + "outputs": [], "source": [ "# Coverage\n", "df_coverage = df_repos.sort_values(\n", @@ -485,19 +469,22 @@ " xaxis_title='Repository',\n", ")\n", "fig_scatter.show()" - ], - "outputs": [], - "execution_count": null + ] }, { - "metadata": {}, "cell_type": "markdown", - "source": "### Programming Languages", - "id": "d9116f5c8e154dae" + "id": "d9116f5c8e154dae", + "metadata": {}, + "source": [ + "### Programming Languages" + ] }, { - "metadata": {}, "cell_type": "code", + "execution_count": null, + "id": "20e09d93eda0478a", + "metadata": {}, + "outputs": [], "source": [ "# Programming Languages by Bytes of Code\n", "language_data = []\n", @@ -573,25 +560,22 @@ " )\n", "\n", " fig.show()" - ], - "id": "20e09d93eda0478a", - "outputs": [], - "execution_count": null + ] }, { - "metadata": {}, "cell_type": "markdown", - "source": "### Documentation", - "id": "a520a320cd823874" + "id": "a520a320cd823874", + "metadata": {}, + "source": [ + "### Documentation" + ] }, { - "metadata": { - "ExecuteTime": { - "end_time": "2024-08-20T02:58:06.219404Z", - "start_time": "2024-08-20T02:58:06.066344Z" - } - }, "cell_type": "code", + "execution_count": null, + "id": "ec43a8fd7f9d49bb", + "metadata": {}, + "outputs": [], "source": [ "# Docs\n", "\n", @@ -661,2473 +645,7 @@ " )\n", "\n", " fig.show()" - ], - "id": "ec43a8fd7f9d49bb", - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "data": [ - { - "branchvalues": "total", - "domain": { - "x": [ - 0.0, - 1.0 - ], - "y": [ - 0.0, - 1.0 - ] - }, - "hovertemplate": "labels=%{label}
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