docs: allow jupyter notebook

docs/gettingstarted/demo/workflow.ipynb

@@ -0,0 +1,241 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 📋 Workflow Demonstration\n",
+    "\n",
+    "There are existing implementations of workflows to showcase how `bigtree` can be used!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "vscode": {
+     "languageId": "plaintext"
+    }
+   },
+   "source": [
+    "## To Do Application\n",
+    "There are functions to:\n",
+    "\n",
+    "- Add or remove list to To-Do application\n",
+    "- Add or remove item to list, default list is the 'General' list\n",
+    "- Prioritize a list/item by reordering them as first list/item\n",
+    "- Save and import To-Do application to and from an external JSON file\n",
+    "- Show To-Do application, which prints tree to console\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "To Do App\n",
+      "├── School\n",
+      "│   └── Homework 1\n",
+      "├── Groceries\n",
+      "│   ├── Milk [description=Urgent]\n",
+      "│   └── Bread [description=Urgent]\n",
+      "└── General\n",
+      "    └── Cook\n"
+     ]
+    }
+   ],
+   "source": [
+    "from bigtree import AppToDo\n",
+    "\n",
+    "app = AppToDo(\"To Do App\")\n",
+    "app.add_item(item_name=\"Homework 1\", list_name=\"School\")\n",
+    "app.add_item(item_name=[\"Milk\", \"Bread\"], list_name=\"Groceries\", description=\"Urgent\")\n",
+    "app.add_item(item_name=\"Cook\")\n",
+    "app.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "app.save(\"list.json\")\n",
+    "app2 = AppToDo.load(\"list.json\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Calendar Application\n",
+    "\n",
+    "There are functions to:\n",
+    "\n",
+    "- Add or remove event from Calendar\n",
+    "- Find event by name, or name and date\n",
+    "- Display calendar, which prints events to console\n",
+    "- Export calendar to pandas DataFrame"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "My Calendar\n",
+      "2023-01-01 00:00:00 - Dinner (budget: 20)\n",
+      "2023-01-01 18:00:00 - Gym\n",
+      "2023-01-02 18:00:00 - Gym\n"
+     ]
+    }
+   ],
+   "source": [
+    "import datetime as dt\n",
+    "from bigtree import Calendar\n",
+    "\n",
+    "calendar = Calendar(\"My Calendar\")\n",
+    "calendar.add_event(\"Gym\", \"2023-01-01 18:00\")\n",
+    "calendar.add_event(\"Dinner\", \"2023-01-01\", date_format=\"%Y-%m-%d\", budget=20)\n",
+    "calendar.add_event(\"Gym\", \"2023-01-02 18:00\")\n",
+    "calendar.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2023-01-01 18:00:00 - Gym\n",
+      "2023-01-02 18:00:00 - Gym\n"
+     ]
+    }
+   ],
+   "source": [
+    "calendar.find_event(\"Gym\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "My Calendar\n",
+      "2023-01-01 00:00:00 - Dinner (budget: 20)\n",
+      "2023-01-02 18:00:00 - Gym\n"
+     ]
+    }
+   ],
+   "source": [
+    "calendar.delete_event(\"Gym\", dt.date(2023, 1, 1))\n",
+    "calendar.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "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>path</th>\n",
+       "      <th>name</th>\n",
+       "      <th>date</th>\n",
+       "      <th>time</th>\n",
+       "      <th>budget</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>/My Calendar/2023/01/01/Dinner</td>\n",
+       "      <td>Dinner</td>\n",
+       "      <td>2023-01-01</td>\n",
+       "      <td>00:00:00</td>\n",
+       "      <td>20.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>/My Calendar/2023/01/02/Gym</td>\n",
+       "      <td>Gym</td>\n",
+       "      <td>2023-01-02</td>\n",
+       "      <td>18:00:00</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                             path    name        date      time  budget\n",
+       "0  /My Calendar/2023/01/01/Dinner  Dinner  2023-01-01  00:00:00    20.0\n",
+       "1     /My Calendar/2023/01/02/Gym     Gym  2023-01-02  18:00:00     NaN"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data_calendar = calendar.to_dataframe()\n",
+    "data_calendar"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "bigtree",
+   "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": "3.10.14"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

docs/requirements.txt

@@ -3,6 +3,7 @@ IPython
 mdx_truly_sane_lists==1.3
 mkdocs==1.5.3
 mkdocs-glightbox==0.3.7
+mkdocs-jupyter
 mkdocs-material[imaging]==9.5.17
 mkdocstrings[python]>=0.25.0  # griffe.collections error
 pandas

mkdocs.yml

@@ -23,7 +23,7 @@ nav:
       - gettingstarted/demo/tree.md
       - gettingstarted/demo/binarytree.md
       - gettingstarted/demo/dag.md
-      - gettingstarted/demo/workflow.md
+      - gettingstarted/demo/workflow.ipynb
     - Resources:
       - gettingstarted/resources/articles.md
       - gettingstarted/resources/glossary.md
@@ -93,6 +93,8 @@ theme:
 
 plugins:
   - glightbox  # expand images
+  - mkdocs-jupyter
+    include_source: True
   - search
   - social:
       cards_layout_options:

pyproject.toml

@@ -101,10 +101,11 @@ dependencies = [
   "docstr-coverage",
   "IPython",
   "mkdocs==1.5.3",
+  "mkdocs-glightbox",
+  "mkdocs-jupyter",
   "mkdocs-material[imaging]==9.5.17",
   "mdx_truly_sane_lists==1.3",
   "mkdocstrings[python]==0.24.0",
-  "mkdocs-glightbox",
   "requests",
   "termynal==0.11.1",
 ]