jupyter_background

jupyter_multi.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.lib import backgroundjobs as bg\n",
    "from threading import Timer\n",
    "import time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Bg():\n",
    "    '''\n",
    "    RUN job at background\n",
    "    '''\n",
    "    def __init__(self):\n",
    "        super(Bg, self).__init__()\n",
    "        self.jobs=bg.BackgroundJobManager()\n",
    "    \n",
    "    def m(self, *args, **kwargs):\n",
    "        self.ts=time.time()\n",
    "        self.res=self.jobs.new(*args, **kwargs)\n",
    "        print ('Running')\n",
    "        Bg.isFin(self)\n",
    "        \n",
    "    def isFin(self):\n",
    "        if self.res.status == 'Completed':\n",
    "            print ('{}: {}'.format(__class__.__name__, self.res.status))\n",
    "            self.te=time.time()\n",
    "            return self.res.result\n",
    "        \n",
    "        timer=Timer(1, Bg.isFin, args=[self])\n",
    "        timer.start()\n",
    "        \n",
    "    def r(self):\n",
    "        if self.res.status == 'Running':\n",
    "            print ('Running')\n",
    "        else:\n",
    "            print ('%2.2f min' % ((self.te - self.ts)/60))\n",
    "            return self.res.result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_m = Bg()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting job # 0 in a separate thread.\n",
      "Running\n",
      "Bg: Completed\n"
     ]
    }
   ],
   "source": [
    "test_m.m(time.sleep, 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.05 min\n"
     ]
    }
   ],
   "source": [
    "test_m.r()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "def test_multi(t=10):\n",
    "    time.sleep(t)\n",
    "    return t"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting job # 2 in a separate thread.\n",
      "Running\n",
      "Bg: Completed\n"
     ]
    }
   ],
   "source": [
    "test_m.m(test_multi, 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.05 min\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_m.r()"
   ]
  }
 ],
 "metadata": {
  "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": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}

TODO:

1. Magic Function에 등록
2. 실행 완료될 때 https://pypi.python.org/pypi/jupyternotify 등과 연관