{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 実験メタデータを入力する\n",
    "\n",
    "実験日や実験者などのメタデータを実験記録に追加します。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. メタデータを入力する"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. 以下のセルを実行して、実験日を入力してください。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from ipywidgets import Text, Button\n",
    "from IPython.display import clear_output\n",
    "import datetime\n",
    "\n",
    "d_today = datetime.date.today()\n",
    "def on_click_callback(clicked_button: Button) -> None:\n",
    "    global experiment_date\n",
    "    experiment_date = text.value\n",
    "    clear_output()\n",
    "    print(\"登録しました：\", experiment_date)\n",
    "\n",
    "# テキストボックス\n",
    "text = Text(\n",
    "    value=str(d_today),\n",
    "    description='実験日：'\n",
    ")\n",
    "button = Button(description='入力完了')\n",
    "button.on_click(on_click_callback)\n",
    "display(text, button)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. 以下のセルを実行して、実験者を入力してください。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from ipywidgets import Text, Button\n",
    "from IPython.display import clear_output\n",
    "import datetime\n",
    "\n",
    "def on_click_callback(clicked_button: Button) -> None:\n",
    "    global experimenter\n",
    "    experimenter = text.value\n",
    "    clear_output()\n",
    "    print(\"登録しました：\", experimenter)\n",
    "\n",
    "# テキストボックス\n",
    "text = Text(\n",
    "    description='実験者：'\n",
    ")\n",
    "button = Button(description='入力完了')\n",
    "button.on_click(on_click_callback)\n",
    "display(text, button)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "## 2.メタ情報をファイルに保存する"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "### - 2.1 メタ情報をmeta_data.jsonに書き込む"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "import json\n",
    "from collections import OrderedDict\n",
    "\n",
    "meta_data = {\n",
    "    \"experiment_date\": experiment_date,\n",
    "    \"experimenter\": experimenter\n",
    "}\n",
    "with open('../meta_data.json', 'w') as jf:\n",
    "    json.dump(meta_data, jf, ensure_ascii=False, indent=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. 実行結果をデータガバナンス機能に同期する\n",
    "\n",
    "ここまでの内容を保存し、データガバナンス機能に同期します。  \n",
    "以下のセルを実行してください。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import display, Javascript\n",
    "display(Javascript('IPython.notebook.save_checkpoint();'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": [
    "# FIXME：papermill実装に修正\n",
    "%cd ~/\n",
    "!datalad save -m \"メタデータ入力\" SECTIONS/enter_metadata.ipynb\n",
    "!datalad save -m \"メタデータ入力\" meta_data.json\n",
    "!datalad unlock .\n",
    "!datalad push --to gin"
   ]
  }
 ],
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   "language": "python",
   "name": "python3"
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   "codemirror_mode": {
    "name": "ipython",
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   "mimetype": "text/x-python",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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