{
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   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "pycharm": {
     "is_executing": false
    }
   },
   "outputs": [],
   "source": [
    "from datetime import date\n",
    "from datetime import timedelta\n",
    "from gs_quant.datetime.relative_date import RelativeDate\n",
    "from gs_quant.markets import PricingContext\n",
    "from gs_quant.session import GsSession, Environment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "is_executing": false,
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# external users should substitute their client id and secret; please skip this step if using internal jupyterh\n",
    "GsSession.use(Environment.PROD, client_id=None, client_secret=None, scopes=('read_product_data',))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "datetime.date(2021, 1, 3)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yesterday = date.today() - timedelta(days=1)\n",
    "with PricingContext(pricing_date=yesterday):\n",
    "    my_date = RelativeDate('-1d').apply_rule()  # Returns 2 days ago\n",
    "my_date"
   ]
  }
 ],
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