jupyter magic to manipulate notebook tags

set-tags-magic.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-02-08T12:29:36.689063Z",
     "start_time": "2019-02-08T12:29:36.676068Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "// If you want to execute the cell for the second time\n",
       "require.undef('setTags');\n",
       "\n",
       "define('setTags', function() {\n",
       "    return function(element, tags) {\n",
       "        var cell_element = element.parents('.cell');\n",
       "        var index = Jupyter.notebook.get_cell_elements().index(cell_element);\n",
       "        var cell = Jupyter.notebook.get_cell(index);\n",
       "        cell.metadata.tags = tags;\n",
       "    }\n",
       "});\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%javascript\n",
    "\n",
    "// If you want to execute the cell for the second time\n",
    "require.undef('setTags');\n",
    "\n",
    "define('setTags', function() {\n",
    "    return function(element, tags) {\n",
    "        var cell_element = element.parents('.cell');\n",
    "        var index = Jupyter.notebook.get_cell_elements().index(cell_element);\n",
    "        var cell = Jupyter.notebook.get_cell(index);\n",
    "        cell.metadata.tags = tags;\n",
    "    }\n",
    "});"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-02-08T12:29:36.711066Z",
     "start_time": "2019-02-08T12:29:36.693061Z"
    }
   },
   "outputs": [],
   "source": [
    "from IPython.core.magic import register_cell_magic, register_line_cell_magic\n",
    "from IPython.display import Javascript, display\n",
    "import json\n",
    "\n",
    "def _set_tags(tags):\n",
    "    assert all(map(lambda t: isinstance(t, str), tags))\n",
    "    display(Javascript(\n",
    "        \"\"\"\n",
    "        require(['setTags'], function(setTags) {\n",
    "            setTags(element, %s);\n",
    "        });\n",
    "        \"\"\" % json.dumps(tags)\n",
    "    ))\n",
    "\n",
    "@register_line_cell_magic\n",
    "def tag(line, cell=None):\n",
    "    _set_tags(line.split())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-02-08T12:29:36.733068Z",
     "start_time": "2019-02-08T12:29:36.714063Z"
    },
    "tags": [
     "code"
    ]
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "        require(['setTags'], function(setTags) {\n",
       "            setTags(element, [\"code\"]);\n",
       "        });\n",
       "        "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello world!\n"
     ]
    }
   ],
   "source": [
    "%tag code\n",
    "print('Hello world!')"
   ]
  }
 ],
 "metadata": {
  "celltoolbar": "Tags",
  "gist": {
   "data": {
    "description": "set-tags-magic.ipynb",
    "public": true
   },
   "id": ""
  },
  "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": "3.6.8"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}

This works in jupyter notebook, but not in jupyter lab. In jupyter lab I see "require is not defined" error message (but it works just fine in the jupyter notebook).

Do you know if there's a way to get the same magic in jupyter lab?

Here's a couple of relevant threads: Calysto/calysto_processing#11
jupyter-widgets/ipywidgets#2379

@SultanOrazbayev, unfortunately I don't have a jupyter lab solution