{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 実験支援\n",
    "\n",
    "実験中のワークフローを支援するためのノートブックです。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- ## 実験メタデータを入力する"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. 変数にメタデータ情報を入力し、入力後セルを実行する"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "meta_data = {\n",
    "    \"experiment_date\": \"2021/12/16\",\n",
    "    \"experimenter\": \"tanaka taro\"\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. meta_data.jsonに保存する"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "from collections import OrderedDict\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": [
    "- ## 実験を途中保存する"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. コミットメッセージを変数に入力する"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "save_message = \" \""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. 途中保存する"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datalad import api\n",
    "\n",
    "api.save(message=save_message)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- ## 実験を終了する\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. 実行環境構成を記録する"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%sh\n",
    "conda env export > environment.yaml"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%sh\n",
    "pip freeze > requirements.txt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. パイプラインを作成する（検討中）"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3. 実験単体の再現性をモニタリングする（コード付帯機能で行うか検討中）"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "4. コミットメッセージを変数に入力し、実験記録の書き戻し準備をする"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "SAVE_MESSAGE = ''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datalad import api\n",
    "\n",
    "api.save(message=SAVE_MESSAGE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "os.chdir(\"/home/jovyan\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%sh\n",
    "chmod 600 /home/jovyan/.ssh/id_rsa"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%sh\n",
    "mkdir ./tmp\n",
    "git remote show origin > ./tmp/remote.txt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('./tmp/remote.txt', 'r') as f:\n",
    "    lines = [s.strip() for s in f.readlines()]\n",
    "    ssh_push_url = lines[2].replace('Push  URL: https://github.com/', 'ssh://root@dg02.dg.rcos.nii.ac.jp:3001/')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "5. 実験記録を書き戻す"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datalad import api\n",
    "\n",
    "try:\n",
    "    api.siblings(action='add', name=SIBLING_NAME, url=SSH_PUSH_URL)\n",
    "except:\n",
    "    pass\n",
    "\n",
    "api.push(to=SIBLING_NAME, result_renderer='default')"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
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   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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