{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Gridification"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook runs the gridification script and creates all the pixels in the database."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[32murban-meal-delivery\u001b[0m, version \u001b[34m0.3.0\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "!umd --version"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Upgrade Database Schema"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This database migration also de-duplicates redundant addresses and removes obvious outliers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%cd -q .."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO  [alembic.runtime.migration] Context impl PostgresqlImpl.\n",
      "INFO  [alembic.runtime.migration] Will assume transactional DDL.\n",
      "INFO  [alembic.runtime.migration] Running upgrade f11cd76d2f45 -> 888e352d7526, Add pixel grid.\n",
      "INFO  [alembic.runtime.migration] Running upgrade 888e352d7526 -> e40623e10405, Add demand forecasting.\n",
      "INFO  [alembic.runtime.migration] Running upgrade e40623e10405 -> 26711cd3f9b9, Add confidence intervals to forecasts.\n",
      "INFO  [alembic.runtime.migration] Running upgrade 26711cd3f9b9 -> e86290e7305e, Remove orders from restaurants with invalid location ...\n"
     ]
    }
   ],
   "source": [
    "!alembic upgrade e86290e7305e"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create the Grids"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Put all restaurant locations in pixels."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3 cities retrieved from the database\n",
      "\n",
      "Creating grids for Lyon\n",
      "Creating grid with a side length of 707 meters\n",
      " -> created 62 pixels\n",
      "Creating grid with a side length of 1000 meters\n",
      " -> created 38 pixels\n",
      "Creating grid with a side length of 1414 meters\n",
      " -> created 24 pixels\n",
      "=> assigned 358 out of 48058 addresses in Lyon\n",
      "\n",
      "Creating grids for Paris\n",
      "Creating grid with a side length of 707 meters\n",
      " -> created 199 pixels\n",
      "Creating grid with a side length of 1000 meters\n",
      " -> created 111 pixels\n",
      "Creating grid with a side length of 1414 meters\n",
      " -> created 66 pixels\n",
      "=> assigned 1133 out of 108135 addresses in Paris\n",
      "\n",
      "Creating grids for Bordeaux\n",
      "Creating grid with a side length of 707 meters\n",
      " -> created 30 pixels\n",
      "Creating grid with a side length of 1000 meters\n",
      " -> created 22 pixels\n",
      "Creating grid with a side length of 1414 meters\n",
      " -> created 15 pixels\n",
      "=> assigned 123 out of 21742 addresses in Bordeaux\n"
     ]
    }
   ],
   "source": [
    "!umd gridify"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "%cd -q research"
   ]
  }
 ],
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