{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "nbs = !find ../ -mindepth 2 -name \"*.ipynb\" ! -name \"*checkpoint.ipynb\" -type f "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for nb in nbs:\n",
    "    #!jupyter nbconvert --clear-output --inplace {nb}\n",
    "    !jupyter nbconvert --ClearOutputPreprocessor.enabled=True --inplace {nb} \n",
    "    with open(nb, 'r') as jsonFile:\n",
    "        nbdata=json.load(jsonFile)\n",
    "    nbdata[\"metadata\"][\"kernelspec\"][\"name\"]=\"dkrzcatalog\"\n",
    "    nbdata[\"metadata\"][\"kernelspec\"][\"display_name\"]=\"dkrzcatalog\"\n",
    "    with open(nb, 'w') as jsonFile:\n",
    "        json.dump(nbdata, jsonFile, indent=1, ensure_ascii=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "dkrzcatalog",
   "language": "python",
   "name": "dkrzcatalog"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}