{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import Markdown as md\n",
    "from IPython.display import DisplayHandle\n",
    "import pandas as pd\n",
    "from pathlib import Path\n",
    "from datetime import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "tags": [
     "parameters"
    ]
   },
   "outputs": [],
   "source": [
    "tribe = \"308\"\n",
    "assessment = \"161114_dm2\"\n",
    "csv_file = Path(f\"./sheets/{tribe}/{assessment}.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "split_ass = assessment.split(\"_\")\n",
    "if len(split_ass) > 1:\n",
    "    date, *assessment = assessment.split(\"_\")\n",
    "    date = datetime.strptime(date, \"%y%m%d\")\n",
    "    assessment = ' '.join(assessment)\n",
    "else:\n",
    "    date = None\n",
    "    assessment = split_ass[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "# dm2 (14/11/2016) pour 308"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "if date is None:\n",
    "    display(md(f\"# {assessment} pour {tribe}\"))\n",
    "else:\n",
    "    display(md(f\"# {assessment} ({date:%d/%m/%Y}) pour {tribe}\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "celltoolbar": "Tags",
  "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": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}