{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "simname = \"som02_example\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from objsimpy.config import SIMDATA_BASE_DIR, OBJSIM_DIR\n",
    "import os\n",
    "\n",
    "def make_dir_if_needed(dirname):\n",
    "    if not os.path.isdir(dirname):\n",
    "        print(\"--> create directory: {}\".format(dirname))\n",
    "        os.makedirs(dirname)\n",
    "    else:\n",
    "        print(\"directory exists: {}\".format(dirname))\n",
    "\n",
    "data_dir = os.path.join(SIMDATA_BASE_DIR, 'objsim', simname)\n",
    "make_dir_if_needed(data_dir)\n",
    "\n",
    "simtime = 1000000."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from objsimpy.runner import ObjsimRunner\n",
    "n_trials = 4\n",
    "n_steps = int(simtime//250//n_trials)\n",
    "default_settings_file = os.path.join(OBJSIM_DIR, 'simulations', 'fm', 'som02', 'settings_som02_gauss.cfg')\n",
    "\n",
    "# default settings from .cfg file can be overwritten\n",
    "changed_settings = ['--NTrials', '4',\n",
    "                    '--NSteps', str(n_steps),\n",
    "                    #'--TestNSteps', '4',\n",
    "                    '--SaveInitialWeights',\n",
    "                    '--LearnRate', '0.0002',\n",
    "                    '--StimFileName', 'gauss20x20',\n",
    "                    ]\n",
    "\n",
    "som02_binary = os.path.join(OBJSIM_DIR, 'install', 'bin', 'som02', 'som02')\n",
    "som02 = ObjsimRunner(som02_binary)\n",
    "som02.run(data_dir, \n",
    "          default_settings_file, \n",
    "          changed_settings)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "som02.is_running()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fname_output = os.path.join(data_dir, 'output.txt')\n",
    "def print_last_output_lines(fname, n_lines=3):\n",
    "    with open(fname, 'r') as fobj:\n",
    "        content = fobj.read()\n",
    "        lines = content.split('\\n')\n",
    "        for l in lines[-n_lines:]:\n",
    "            print(l)\n",
    "print_last_output_lines(fname_output)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import clear_output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import time\n",
    "\n",
    "show_progress_max = 5\n",
    "count = 0\n",
    "\n",
    "while som02.is_running():\n",
    "    count += 1\n",
    "    clear_output()\n",
    "    print(\"count: {}\".format(count))\n",
    "    print_last_output_lines(fname_output)\n",
    "    if count > show_progress_max:\n",
    "        break\n",
    "    time.sleep(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "som02.is_running()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ls $data_dir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.7.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}