.gitignore

.ipynb_checkpoints
__pycache__

README.md

elk-reqs.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import ipyelk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/bin/bash: gh: command not found\n"
     ]
    }
   ],
   "source": [
    "with __import__(\"importnb\").Notebook():\n",
    "    from requirements_df import df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>requirement</th>\n",
       "      <th>url</th>\n",
       "      <th>extras</th>\n",
       "      <th>specifier</th>\n",
       "      <th>marker</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>jedi</th>\n",
       "      <td>parso</td>\n",
       "      <td>None</td>\n",
       "      <td>{}</td>\n",
       "      <td>(&gt;=0.8.0, &lt;0.9.0)</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nbclient</th>\n",
       "      <td>traitlets</td>\n",
       "      <td>None</td>\n",
       "      <td>{}</td>\n",
       "      <td>(&gt;=4.2)</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nbclient</th>\n",
       "      <td>jupyter-client</td>\n",
       "      <td>None</td>\n",
       "      <td>{}</td>\n",
       "      <td>(&gt;=6.1.5)</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nbclient</th>\n",
       "      <td>nbformat</td>\n",
       "      <td>None</td>\n",
       "      <td>{}</td>\n",
       "      <td>(&gt;=5.0)</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nbclient</th>\n",
       "      <td>async-generator</td>\n",
       "      <td>None</td>\n",
       "      <td>{}</td>\n",
       "      <td>()</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ipywidgets</th>\n",
       "      <td>nbformat</td>\n",
       "      <td>None</td>\n",
       "      <td>{}</td>\n",
       "      <td>(&gt;=4.2.0)</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ipywidgets</th>\n",
       "      <td>widgetsnbextension</td>\n",
       "      <td>None</td>\n",
       "      <td>{}</td>\n",
       "      <td>(~=3.5.0)</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pandas</th>\n",
       "      <td>python-dateutil</td>\n",
       "      <td>None</td>\n",
       "      <td>{}</td>\n",
       "      <td>(&gt;=2.7.3)</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pandas</th>\n",
       "      <td>pytz</td>\n",
       "      <td>None</td>\n",
       "      <td>{}</td>\n",
       "      <td>(&gt;=2017.2)</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pandas</th>\n",
       "      <td>numpy</td>\n",
       "      <td>None</td>\n",
       "      <td>{}</td>\n",
       "      <td>(&gt;=1.15.4)</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>104 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   requirement   url extras          specifier marker\n",
       "name                                                                 \n",
       "jedi                     parso  None     {}  (>=0.8.0, <0.9.0)   None\n",
       "nbclient             traitlets  None     {}            (>=4.2)   None\n",
       "nbclient        jupyter-client  None     {}          (>=6.1.5)   None\n",
       "nbclient              nbformat  None     {}            (>=5.0)   None\n",
       "nbclient       async-generator  None     {}                 ()   None\n",
       "...                        ...   ...    ...                ...    ...\n",
       "ipywidgets            nbformat  None     {}          (>=4.2.0)   None\n",
       "ipywidgets  widgetsnbextension  None     {}          (~=3.5.0)   None\n",
       "pandas         python-dateutil  None     {}          (>=2.7.3)   None\n",
       "pandas                    pytz  None     {}         (>=2017.2)   None\n",
       "pandas                   numpy  None     {}         (>=1.15.4)   None\n",
       "\n",
       "[104 rows x 5 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "({'height': 25,\n",
       "  'id': 'model',\n",
       "  'width': 50,\n",
       "  'labels': [{'text': 'model', 'id': 'model_label', 'x': 5, 'y': 5}]},)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "    {\n",
    "      \"height\": 25,\n",
    "      \"id\": \"model\",\n",
    "      \"width\": 50,\n",
    "      \"labels\": [{ \"text\": \"model\", \"id\": \"model_label\", \"x\": 5, \"y\": 5 }]\n",
    "    },"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_node(name):\n",
    "    return dict(\n",
    "        id=name,\n",
    "        width=len(name) * 7,\n",
    "        height=18,\n",
    "        labels=[dict(id=f\"\"\"_l_{name}\"\"\", text=name, x=5, y=5)]\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [],
   "source": [
    "nodes = {}\n",
    "edges = []\n",
    "for rec in df.reset_index().to_dict(orient=\"records\"):\n",
    "    if rec[\"name\"] not in nodes:\n",
    "        nodes[rec[\"name\"]] = make_node(rec[\"name\"])\n",
    "    if rec[\"requirement\"] not in nodes:\n",
    "        nodes[rec[\"requirement\"]] = make_node(rec[\"requirement\"])\n",
    "    edges += [\n",
    "        dict(\n",
    "            id=f\"_e_{len(edges)}\", \n",
    "            sources=[rec[\"name\"]], \n",
    "            targets=[rec[\"requirement\"]],\n",
    "            labels=[dict(\n",
    "                id=f\"\"\"_e_l_{rec[\"name\"]}_{rec[\"requirement\"]}\"\"\",\n",
    "                text=str(rec[\"specifier\"])\n",
    "            )]\n",
    "        ),\n",
    "    ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'name': 'pandas',\n",
       " 'requirement': 'numpy',\n",
       " 'url': None,\n",
       " 'extras': set(),\n",
       " 'specifier': <SpecifierSet('>=1.15.4')>,\n",
       " 'marker': None}"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rec"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "elk_json = {\n",
    "  \"children\": [*nodes.values()],\n",
    "  \"edges\": edges,\n",
    "  \"id\": \"root\"\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "02c83e39c830483da52204482cb2fca5",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "ElkDiagram(layout=Layout(min_height='600px'), value={'children': [{'id': 'jedi', 'width': 28, 'height': 18, 'l…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ipyelk.ElkDiagram(elk_json, layout=dict(min_height=\"600px\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}

environment.yml

name: reqs

channels:
- conda-forge
- nodefaults

dependencies:
- importlib_metadata
- importnb
- ipyelk
- ipywidgets
- jupyterlab =1
- nodejs >=14,<15
- nomkl
- packaging
- pandas
- python >=3.8,<3.9
- toolz

labex.txt

@jupyrdf/jupyter-elk
@jupyter-widgets/jupyterlab-manager

postBuild

#!/usr/bin/env bash
set -eux
jupyter labextension install --debug --no-build $(cat labex.txt)
jupyter labextension list
jupyter lab build --debug --dev-build=False --minimize=False
jupyter labextension list

requirements-df.ipynb