Dask with mongo experiment.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Testing Dask with Mongo"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Install docker, pymongo and dask first as dependencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: docker in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (4.2.0)\n",
      "Requirement already satisfied: pymongo in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (3.10.1)\n",
      "Requirement already satisfied: dask[complete] in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (2.16.0)\n",
      "Collecting graphviz\n",
      "  Using cached https://files.pythonhosted.org/packages/83/cc/c62100906d30f95d46451c15eb407da7db201e30f42008f3643945910373/graphviz-0.14-py2.py3-none-any.whl\n",
      "Requirement already satisfied: requests!=2.18.0,>=2.14.2 in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from docker) (2.23.0)\n",
      "Requirement already satisfied: websocket-client>=0.32.0 in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from docker) (0.57.0)\n",
      "Requirement already satisfied: six>=1.4.0 in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from docker) (1.14.0)\n",
      "Requirement already satisfied: PyYaml; extra == \"complete\" in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from dask[complete]) (5.3.1)\n",
      "Requirement already satisfied: fsspec>=0.6.0; extra == \"complete\" in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from dask[complete]) (0.7.3)\n",
      "Requirement already satisfied: pandas>=0.23.0; extra == \"complete\" in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from dask[complete]) (1.0.3)\n",
      "Requirement already satisfied: cloudpickle>=0.2.2; extra == \"complete\" in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from dask[complete]) (1.4.1)\n",
      "Requirement already satisfied: bokeh>=1.0.0; extra == \"complete\" in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from dask[complete]) (2.0.2)\n",
      "Requirement already satisfied: distributed>=2.0; extra == \"complete\" in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from dask[complete]) (2.16.0)\n",
      "Requirement already satisfied: partd>=0.3.10; extra == \"complete\" in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from dask[complete]) (1.1.0)\n",
      "Requirement already satisfied: toolz>=0.8.2; extra == \"complete\" in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from dask[complete]) (0.10.0)\n",
      "Requirement already satisfied: numpy>=1.13.0; extra == \"complete\" in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from dask[complete]) (1.18.3)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from requests!=2.18.0,>=2.14.2->docker) (2020.4.5.1)\n",
      "Requirement already satisfied: idna<3,>=2.5 in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from requests!=2.18.0,>=2.14.2->docker) (2.9)\n",
      "Requirement already satisfied: chardet<4,>=3.0.2 in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from requests!=2.18.0,>=2.14.2->docker) (3.0.4)\n",
      "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from requests!=2.18.0,>=2.14.2->docker) (1.25.9)\n",
      "Requirement already satisfied: pytz>=2017.2 in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from pandas>=0.23.0; extra == \"complete\"->dask[complete]) (2020.1)\n",
      "Requirement already satisfied: python-dateutil>=2.6.1 in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from pandas>=0.23.0; extra == \"complete\"->dask[complete]) (2.8.1)\n",
      "Requirement already satisfied: Jinja2>=2.7 in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from bokeh>=1.0.0; extra == \"complete\"->dask[complete]) (2.11.2)\n",
      "Requirement already satisfied: pillow>=4.0 in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from bokeh>=1.0.0; extra == \"complete\"->dask[complete]) (7.1.2)\n",
      "Requirement already satisfied: packaging>=16.8 in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from bokeh>=1.0.0; extra == \"complete\"->dask[complete]) (20.3)\n",
      "Requirement already satisfied: tornado>=5 in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from bokeh>=1.0.0; extra == \"complete\"->dask[complete]) (6.0.4)\n",
      "Requirement already satisfied: typing_extensions>=3.7.4 in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from bokeh>=1.0.0; extra == \"complete\"->dask[complete]) (3.7.4.2)\n",
      "Requirement already satisfied: setuptools in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from distributed>=2.0; extra == \"complete\"->dask[complete]) (41.2.0)\n",
      "Requirement already satisfied: tblib>=1.6.0 in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from distributed>=2.0; extra == \"complete\"->dask[complete]) (1.6.0)\n",
      "Requirement already satisfied: zict>=0.1.3 in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from distributed>=2.0; extra == \"complete\"->dask[complete]) (2.0.0)\n",
      "Requirement already satisfied: msgpack>=0.6.0 in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from distributed>=2.0; extra == \"complete\"->dask[complete]) (1.0.0)\n",
      "Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from distributed>=2.0; extra == \"complete\"->dask[complete]) (2.1.0)\n",
      "Requirement already satisfied: click>=6.6 in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from distributed>=2.0; extra == \"complete\"->dask[complete]) (7.1.2)\n",
      "Requirement already satisfied: psutil>=5.0 in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from distributed>=2.0; extra == \"complete\"->dask[complete]) (5.7.0)\n",
      "Requirement already satisfied: locket in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from partd>=0.3.10; extra == \"complete\"->dask[complete]) (0.2.0)\n",
      "Requirement already satisfied: MarkupSafe>=0.23 in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from Jinja2>=2.7->bokeh>=1.0.0; extra == \"complete\"->dask[complete]) (1.1.1)\n",
      "Requirement already satisfied: pyparsing>=2.0.2 in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from packaging>=16.8->bokeh>=1.0.0; extra == \"complete\"->dask[complete]) (2.4.7)\n",
      "Requirement already satisfied: heapdict in /home/david/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages (from zict>=0.1.3->distributed>=2.0; extra == \"complete\"->dask[complete]) (1.0.1)\n",
      "Installing collected packages: graphviz\n",
      "Successfully installed graphviz-0.14\n",
      "\u001b[33mWARNING: You are using pip version 19.2.3, however version 20.1 is available.\n",
      "You should consider upgrading via the 'pip install --upgrade pip' command.\u001b[0m\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "%pip install docker pymongo dask[complete] graphviz"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Set Up Mongo Docker Image\n",
    "NOTE : this reuses the other notebook's same configuration for simplicity's sake"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "ename": "APIError",
     "evalue": "409 Client Error: Conflict (\"Conflict. The container name \"/mongo-data-prep\" is already in use by container \"81e323645a47fdb93ee94f4ff6950458a902fb5ef516600c478aa73a573d5ebd\". You have to remove (or rename) that container to be able to reuse that name.\")",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mHTTPError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m~/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages/docker/api/client.py\u001b[0m in \u001b[0;36m_raise_for_status\u001b[0;34m(self, response)\u001b[0m\n\u001b[1;32m    260\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 261\u001b[0;31m             \u001b[0mresponse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mraise_for_status\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    262\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mrequests\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexceptions\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mHTTPError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages/requests/models.py\u001b[0m in \u001b[0;36mraise_for_status\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    940\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mhttp_error_msg\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 941\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mHTTPError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhttp_error_msg\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    942\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mHTTPError\u001b[0m: 409 Client Error: Conflict for url: http+docker://localhost/v1.35/containers/create?name=mongo-data-prep",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[0;31mAPIError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-2-4f50e6eef947>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mdocker_client\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdocker\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfrom_env\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m mongo_container = docker_client.containers.run(\n\u001b[0m\u001b[1;32m      7\u001b[0m     \u001b[0;34m'mongo:latest'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m     \u001b[0mdetach\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages/docker/models/containers.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, image, command, stdout, stderr, remove, **kwargs)\u001b[0m\n\u001b[1;32m    800\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    801\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 802\u001b[0;31m             container = self.create(image=image, command=command,\n\u001b[0m\u001b[1;32m    803\u001b[0m                                     detach=detach, **kwargs)\n\u001b[1;32m    804\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mImageNotFound\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages/docker/models/containers.py\u001b[0m in \u001b[0;36mcreate\u001b[0;34m(self, image, command, **kwargs)\u001b[0m\n\u001b[1;32m    859\u001b[0m         \u001b[0mkwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'version'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclient\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapi\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_version\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    860\u001b[0m         \u001b[0mcreate_kwargs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_create_container_args\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 861\u001b[0;31m         \u001b[0mresp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclient\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapi\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcreate_container\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mcreate_kwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    862\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresp\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Id'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    863\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages/docker/api/container.py\u001b[0m in \u001b[0;36mcreate_container\u001b[0;34m(self, image, command, hostname, user, detach, stdin_open, tty, ports, environment, volumes, network_disabled, name, entrypoint, working_dir, domainname, host_config, mac_address, labels, stop_signal, networking_config, healthcheck, stop_timeout, runtime, use_config_proxy)\u001b[0m\n\u001b[1;32m    428\u001b[0m             \u001b[0mstop_timeout\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mruntime\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    429\u001b[0m         )\n\u001b[0;32m--> 430\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcreate_container_from_config\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    431\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    432\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mcreate_container_config\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages/docker/api/container.py\u001b[0m in \u001b[0;36mcreate_container_from_config\u001b[0;34m(self, config, name)\u001b[0m\n\u001b[1;32m    439\u001b[0m         }\n\u001b[1;32m    440\u001b[0m         \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_post_json\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mu\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mconfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mparams\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mparams\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 441\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_result\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mres\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    442\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    443\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mcreate_host_config\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages/docker/api/client.py\u001b[0m in \u001b[0;36m_result\u001b[0;34m(self, response, json, binary)\u001b[0m\n\u001b[1;32m    265\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_result\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mjson\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbinary\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    266\u001b[0m         \u001b[0;32massert\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mjson\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mbinary\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 267\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_raise_for_status\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresponse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    268\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    269\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mjson\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages/docker/api/client.py\u001b[0m in \u001b[0;36m_raise_for_status\u001b[0;34m(self, response)\u001b[0m\n\u001b[1;32m    261\u001b[0m             \u001b[0mresponse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mraise_for_status\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    262\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mrequests\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexceptions\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mHTTPError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 263\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mcreate_api_error_from_http_exception\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    264\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    265\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_result\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mjson\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbinary\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/3.8.2/envs/mongo-data-prep/lib/python3.8/site-packages/docker/errors.py\u001b[0m in \u001b[0;36mcreate_api_error_from_http_exception\u001b[0;34m(e)\u001b[0m\n\u001b[1;32m     29\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     30\u001b[0m             \u001b[0mcls\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mNotFound\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 31\u001b[0;31m     \u001b[0;32mraise\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mresponse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexplanation\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mexplanation\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     32\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     33\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mAPIError\u001b[0m: 409 Client Error: Conflict (\"Conflict. The container name \"/mongo-data-prep\" is already in use by container \"81e323645a47fdb93ee94f4ff6950458a902fb5ef516600c478aa73a573d5ebd\". You have to remove (or rename) that container to be able to reuse that name.\")"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import docker\n",
    "\n",
    "docker_client = docker.from_env()\n",
    "\n",
    "mongo_container = docker_client.containers.run(\n",
    "    'mongo:latest',\n",
    "    detach=True,\n",
    "    name='mongo-data-prep',\n",
    "    remove=True,\n",
    "    ports={'27017/tcp': 27018},\n",
    "    mem_limit='512M',\n",
    "    volumes={\n",
    "        os.path.join(os.getcwd(), 'db'): {'bind': '/data/db', 'mode': 'rw'},\n",
    "        os.path.join(os.getcwd(), 'mongo.conf'): {'bind': '/etc/mongo.conf', 'mode': 'ro'}\n",
    "    }\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Add logging"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'mongo_container' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-3-af13aadc71d5>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mmongo_container\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlogs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m: name 'mongo_container' is not defined"
     ]
    }
   ],
   "source": [
    "mongo_container.logs()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Set Up Mongo Client\n",
    "\n",
    "Get the Mongo client and add a database named `prep-test` to it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pymongo import InsertOne, MongoClient\n",
    "mongo_client = MongoClient('127.0.0.1', 27018)\n",
    "db = mongo_client['prep-test']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'version': '4.2.5',\n",
       " 'gitVersion': '2261279b51ea13df08ae708ff278f0679c59dc32',\n",
       " 'modules': [],\n",
       " 'allocator': 'tcmalloc',\n",
       " 'javascriptEngine': 'mozjs',\n",
       " 'sysInfo': 'deprecated',\n",
       " 'versionArray': [4, 2, 5, 0],\n",
       " 'openssl': {'running': 'OpenSSL 1.1.1  11 Sep 2018',\n",
       "  'compiled': 'OpenSSL 1.1.1  11 Sep 2018'},\n",
       " 'buildEnvironment': {'distmod': 'ubuntu1804',\n",
       "  'distarch': 'x86_64',\n",
       "  'cc': '/opt/mongodbtoolchain/v3/bin/gcc: gcc (GCC) 8.2.0',\n",
       "  'ccflags': '-fno-omit-frame-pointer -fno-strict-aliasing -ggdb -pthread -Wall -Wsign-compare -Wno-unknown-pragmas -Winvalid-pch -Werror -O2 -Wno-unused-local-typedefs -Wno-unused-function -Wno-deprecated-declarations -Wno-unused-const-variable -Wno-unused-but-set-variable -Wno-missing-braces -fstack-protector-strong -fno-builtin-memcmp',\n",
       "  'cxx': '/opt/mongodbtoolchain/v3/bin/g++: g++ (GCC) 8.2.0',\n",
       "  'cxxflags': '-Woverloaded-virtual -Wno-maybe-uninitialized -fsized-deallocation -std=c++17',\n",
       "  'linkflags': '-pthread -Wl,-z,now -rdynamic -Wl,--fatal-warnings -fstack-protector-strong -fuse-ld=gold -Wl,--build-id -Wl,--hash-style=gnu -Wl,-z,noexecstack -Wl,--warn-execstack -Wl,-z,relro',\n",
       "  'target_arch': 'x86_64',\n",
       "  'target_os': 'linux'},\n",
       " 'bits': 64,\n",
       " 'debug': False,\n",
       " 'maxBsonObjectSize': 16777216,\n",
       " 'storageEngines': ['biggie', 'devnull', 'ephemeralForTest', 'wiredTiger'],\n",
       " 'ok': 1.0}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mongo_client.server_info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Generate Random Data\n",
    "\n",
    "We also check here if anything has been inserted into the Mongo database\n",
    "\n",
    "NOTE: The name of the collection is `test_data`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'_id': ObjectId('5ebacf43c5719bc19b603cce'),\n",
       " 'color': 'blue',\n",
       " 'number': 44,\n",
       " 'random': 'RIFIFI'}"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import random\n",
    "\n",
    "COLLECTION_NAME = 'test_data'\n",
    "MAX_NUM_OF_DOCS = 1001\n",
    "\n",
    "# Template of doc looks like { 'color' : 'purple', 'number' : 1, 'random' : 'PUPPIES' }\n",
    "# Lists and number ranged to populate the random documents\n",
    "list_of_random = ['PUPPIES', 'CHOCOLATE', 'SONATA', 'RATATOUILLE', 'HYPERDRIVE', 'RIFIFI']\n",
    "list_of_colors = ['black', 'orange', 'purple', 'red', 'blue']\n",
    "NUM_CAP = 101\n",
    "\n",
    "def generate_doc():\n",
    "    return {\n",
    "        'color' : random.choice(list_of_colors),\n",
    "        'number' : random.choice(range(NUM_CAP)),\n",
    "        'random' : random.choice(list_of_random)\n",
    "    }\n",
    "\n",
    "def insert_doc():\n",
    "    return InsertOne(generate_doc())\n",
    "      \n",
    "def check_for_data():\n",
    "    return db[COLLECTION_NAME].find_one()\n",
    "\n",
    "def load_data_into_db(max_num_of_docs):\n",
    "    db[COLLECTION_NAME].drop()\n",
    "    db[COLLECTION_NAME].bulk_write([insert_doc() for i in range(max_num_of_docs)])\n",
    "\n",
    "load_data_into_db(MAX_NUM_OF_DOCS)\n",
    "check_for_data()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Mongo Pipeline\n",
    "These functions are to emulate a Mongo pipeline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " Note: we never want the data to leave mongo's server. Not even to reach our python kernel!\n",
    " So:\n",
    " - we use `$out` to directly tell mongo to write in a collection\n",
    " - we don't pass data across functions, only collection names\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'_id': ObjectId('5ebacdb8c5719bc19b6038e7'),\n",
       "  'color': 'purple',\n",
       "  'number': 24,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b6038fe'),\n",
       "  'color': 'purple',\n",
       "  'number': 16,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603901'),\n",
       "  'color': 'purple',\n",
       "  'number': 43,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603914'),\n",
       "  'color': 'purple',\n",
       "  'number': 39,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603915'),\n",
       "  'color': 'purple',\n",
       "  'number': 47,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603919'),\n",
       "  'color': 'purple',\n",
       "  'number': 16,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603923'),\n",
       "  'color': 'purple',\n",
       "  'number': 46,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b60393e'),\n",
       "  'color': 'purple',\n",
       "  'number': 4,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b60394a'),\n",
       "  'color': 'purple',\n",
       "  'number': 11,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603951'),\n",
       "  'color': 'purple',\n",
       "  'number': 15,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603966'),\n",
       "  'color': 'purple',\n",
       "  'number': 3,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603975'),\n",
       "  'color': 'purple',\n",
       "  'number': 24,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603992'),\n",
       "  'color': 'purple',\n",
       "  'number': 10,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b6039b1'),\n",
       "  'color': 'purple',\n",
       "  'number': 12,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b6039bc'),\n",
       "  'color': 'purple',\n",
       "  'number': 11,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b6039c0'),\n",
       "  'color': 'purple',\n",
       "  'number': 10,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b6039cc'),\n",
       "  'color': 'purple',\n",
       "  'number': 12,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b6039d1'),\n",
       "  'color': 'purple',\n",
       "  'number': 13,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b6039d2'),\n",
       "  'color': 'purple',\n",
       "  'number': 27,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b6039e0'),\n",
       "  'color': 'purple',\n",
       "  'number': 41,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b6039e8'),\n",
       "  'color': 'purple',\n",
       "  'number': 22,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603a0f'),\n",
       "  'color': 'purple',\n",
       "  'number': 5,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603a16'),\n",
       "  'color': 'purple',\n",
       "  'number': 20,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603a22'),\n",
       "  'color': 'purple',\n",
       "  'number': 43,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603a27'),\n",
       "  'color': 'purple',\n",
       "  'number': 13,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603a32'),\n",
       "  'color': 'purple',\n",
       "  'number': 33,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603a34'),\n",
       "  'color': 'purple',\n",
       "  'number': 43,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603a3a'),\n",
       "  'color': 'purple',\n",
       "  'number': 37,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603a68'),\n",
       "  'color': 'purple',\n",
       "  'number': 24,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603a72'),\n",
       "  'color': 'purple',\n",
       "  'number': 47,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603a75'),\n",
       "  'color': 'purple',\n",
       "  'number': 34,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603a86'),\n",
       "  'color': 'purple',\n",
       "  'number': 18,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603a90'),\n",
       "  'color': 'purple',\n",
       "  'number': 22,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603a99'),\n",
       "  'color': 'purple',\n",
       "  'number': 41,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603aa4'),\n",
       "  'color': 'purple',\n",
       "  'number': 30,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603ab1'),\n",
       "  'color': 'purple',\n",
       "  'number': 39,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603ac5'),\n",
       "  'color': 'purple',\n",
       "  'number': 16,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603ace'),\n",
       "  'color': 'purple',\n",
       "  'number': 33,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603ad3'),\n",
       "  'color': 'purple',\n",
       "  'number': 36,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603ad6'),\n",
       "  'color': 'purple',\n",
       "  'number': 24,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603aff'),\n",
       "  'color': 'purple',\n",
       "  'number': 28,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603b02'),\n",
       "  'color': 'purple',\n",
       "  'number': 42,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603b04'),\n",
       "  'color': 'purple',\n",
       "  'number': 26,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603b0d'),\n",
       "  'color': 'purple',\n",
       "  'number': 42,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603b0e'),\n",
       "  'color': 'purple',\n",
       "  'number': 7,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603b14'),\n",
       "  'color': 'purple',\n",
       "  'number': 43,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603b1a'),\n",
       "  'color': 'purple',\n",
       "  'number': 32,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603b20'),\n",
       "  'color': 'purple',\n",
       "  'number': 2,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603b2d'),\n",
       "  'color': 'purple',\n",
       "  'number': 18,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603b37'),\n",
       "  'color': 'purple',\n",
       "  'number': 29,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603b3f'),\n",
       "  'color': 'purple',\n",
       "  'number': 9,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603b41'),\n",
       "  'color': 'purple',\n",
       "  'number': 40,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603b45'),\n",
       "  'color': 'purple',\n",
       "  'number': 10,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603b47'),\n",
       "  'color': 'purple',\n",
       "  'number': 29,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603b49'),\n",
       "  'color': 'purple',\n",
       "  'number': 28,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603b57'),\n",
       "  'color': 'purple',\n",
       "  'number': 48,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603b59'),\n",
       "  'color': 'purple',\n",
       "  'number': 36,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603b5d'),\n",
       "  'color': 'purple',\n",
       "  'number': 36,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603b5f'),\n",
       "  'color': 'purple',\n",
       "  'number': 0,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603b6e'),\n",
       "  'color': 'purple',\n",
       "  'number': 24,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603b6f'),\n",
       "  'color': 'purple',\n",
       "  'number': 4,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603b71'),\n",
       "  'color': 'purple',\n",
       "  'number': 47,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603b76'),\n",
       "  'color': 'purple',\n",
       "  'number': 13,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603b8c'),\n",
       "  'color': 'purple',\n",
       "  'number': 48,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603b91'),\n",
       "  'color': 'purple',\n",
       "  'number': 47,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603ba2'),\n",
       "  'color': 'purple',\n",
       "  'number': 29,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603bae'),\n",
       "  'color': 'purple',\n",
       "  'number': 26,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603bb0'),\n",
       "  'color': 'purple',\n",
       "  'number': 27,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603bc1'),\n",
       "  'color': 'purple',\n",
       "  'number': 21,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603bc4'),\n",
       "  'color': 'purple',\n",
       "  'number': 48,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603bd2'),\n",
       "  'color': 'purple',\n",
       "  'number': 5,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603bd6'),\n",
       "  'color': 'purple',\n",
       "  'number': 6,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603bde'),\n",
       "  'color': 'purple',\n",
       "  'number': 47,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603bdf'),\n",
       "  'color': 'purple',\n",
       "  'number': 26,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603be0'),\n",
       "  'color': 'purple',\n",
       "  'number': 36,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603bf8'),\n",
       "  'color': 'purple',\n",
       "  'number': 22,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603c02'),\n",
       "  'color': 'purple',\n",
       "  'number': 46,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603c0f'),\n",
       "  'color': 'purple',\n",
       "  'number': 31,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603c15'),\n",
       "  'color': 'purple',\n",
       "  'number': 30,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603c1f'),\n",
       "  'color': 'purple',\n",
       "  'number': 9,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603c20'),\n",
       "  'color': 'purple',\n",
       "  'number': 37,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603c24'),\n",
       "  'color': 'purple',\n",
       "  'number': 50,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603c27'),\n",
       "  'color': 'purple',\n",
       "  'number': 31,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603c28'),\n",
       "  'color': 'purple',\n",
       "  'number': 44,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603c31'),\n",
       "  'color': 'purple',\n",
       "  'number': 0,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603c3c'),\n",
       "  'color': 'purple',\n",
       "  'number': 34,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603c46'),\n",
       "  'color': 'purple',\n",
       "  'number': 5,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603c4f'),\n",
       "  'color': 'purple',\n",
       "  'number': 3,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603c53'),\n",
       "  'color': 'purple',\n",
       "  'number': 10,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603c62'),\n",
       "  'color': 'purple',\n",
       "  'number': 0,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603c75'),\n",
       "  'color': 'purple',\n",
       "  'number': 48,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603c76'),\n",
       "  'color': 'purple',\n",
       "  'number': 1,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603c85'),\n",
       "  'color': 'purple',\n",
       "  'number': 15,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603c8e'),\n",
       "  'color': 'purple',\n",
       "  'number': 12,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603ca1'),\n",
       "  'color': 'purple',\n",
       "  'number': 23,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603ca3'),\n",
       "  'color': 'purple',\n",
       "  'number': 7,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603cae'),\n",
       "  'color': 'purple',\n",
       "  'number': 39,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603cb2'),\n",
       "  'color': 'purple',\n",
       "  'number': 44,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603cb3'),\n",
       "  'color': 'purple',\n",
       "  'number': 11,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064756'),\n",
       "  'color': 'orange',\n",
       "  'number': 84,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064757'),\n",
       "  'color': 'orange',\n",
       "  'number': 92,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064758'),\n",
       "  'color': 'orange',\n",
       "  'number': 67,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064759'),\n",
       "  'color': 'orange',\n",
       "  'number': 79,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a06475a'),\n",
       "  'color': 'orange',\n",
       "  'number': 75,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a06475b'),\n",
       "  'color': 'orange',\n",
       "  'number': 53,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a06475c'),\n",
       "  'color': 'orange',\n",
       "  'number': 55,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a06475d'),\n",
       "  'color': 'orange',\n",
       "  'number': 71,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a06475e'),\n",
       "  'color': 'orange',\n",
       "  'number': 64,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a06475f'),\n",
       "  'color': 'orange',\n",
       "  'number': 80,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064760'),\n",
       "  'color': 'orange',\n",
       "  'number': 57,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064761'),\n",
       "  'color': 'orange',\n",
       "  'number': 86,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064762'),\n",
       "  'color': 'orange',\n",
       "  'number': 81,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064763'),\n",
       "  'color': 'orange',\n",
       "  'number': 78,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064764'),\n",
       "  'color': 'orange',\n",
       "  'number': 71,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064765'),\n",
       "  'color': 'orange',\n",
       "  'number': 53,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064766'),\n",
       "  'color': 'orange',\n",
       "  'number': 100,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064767'),\n",
       "  'color': 'orange',\n",
       "  'number': 84,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064768'),\n",
       "  'color': 'orange',\n",
       "  'number': 85,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064769'),\n",
       "  'color': 'orange',\n",
       "  'number': 72,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a06476a'),\n",
       "  'color': 'orange',\n",
       "  'number': 82,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a06476b'),\n",
       "  'color': 'orange',\n",
       "  'number': 87,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a06476c'),\n",
       "  'color': 'orange',\n",
       "  'number': 66,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a06476d'),\n",
       "  'color': 'orange',\n",
       "  'number': 97,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a06476e'),\n",
       "  'color': 'orange',\n",
       "  'number': 85,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a06476f'),\n",
       "  'color': 'orange',\n",
       "  'number': 94,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064770'),\n",
       "  'color': 'orange',\n",
       "  'number': 81,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064771'),\n",
       "  'color': 'orange',\n",
       "  'number': 92,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064772'),\n",
       "  'color': 'orange',\n",
       "  'number': 71,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064773'),\n",
       "  'color': 'orange',\n",
       "  'number': 86,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064774'),\n",
       "  'color': 'orange',\n",
       "  'number': 52,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064775'),\n",
       "  'color': 'orange',\n",
       "  'number': 63,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064776'),\n",
       "  'color': 'orange',\n",
       "  'number': 64,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064777'),\n",
       "  'color': 'orange',\n",
       "  'number': 99,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064778'),\n",
       "  'color': 'orange',\n",
       "  'number': 69,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064779'),\n",
       "  'color': 'orange',\n",
       "  'number': 59,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a06477a'),\n",
       "  'color': 'orange',\n",
       "  'number': 92,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a06477b'),\n",
       "  'color': 'orange',\n",
       "  'number': 94,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a06477c'),\n",
       "  'color': 'orange',\n",
       "  'number': 85,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a06477d'),\n",
       "  'color': 'orange',\n",
       "  'number': 84,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a06477e'),\n",
       "  'color': 'orange',\n",
       "  'number': 98,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a06477f'),\n",
       "  'color': 'orange',\n",
       "  'number': 56,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064780'),\n",
       "  'color': 'orange',\n",
       "  'number': 53,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064781'),\n",
       "  'color': 'orange',\n",
       "  'number': 68,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064782'),\n",
       "  'color': 'orange',\n",
       "  'number': 74,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064783'),\n",
       "  'color': 'orange',\n",
       "  'number': 84,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064784'),\n",
       "  'color': 'orange',\n",
       "  'number': 73,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064785'),\n",
       "  'color': 'orange',\n",
       "  'number': 100,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064786'),\n",
       "  'color': 'orange',\n",
       "  'number': 71,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064787'),\n",
       "  'color': 'orange',\n",
       "  'number': 68,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064788'),\n",
       "  'color': 'orange',\n",
       "  'number': 56,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064789'),\n",
       "  'color': 'orange',\n",
       "  'number': 90,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a06478a'),\n",
       "  'color': 'orange',\n",
       "  'number': 52,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a06478b'),\n",
       "  'color': 'orange',\n",
       "  'number': 97,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a06478c'),\n",
       "  'color': 'orange',\n",
       "  'number': 72,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a06478d'),\n",
       "  'color': 'orange',\n",
       "  'number': 85,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a06478e'),\n",
       "  'color': 'orange',\n",
       "  'number': 72,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a06478f'),\n",
       "  'color': 'orange',\n",
       "  'number': 61,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064790'),\n",
       "  'color': 'orange',\n",
       "  'number': 99,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064791'),\n",
       "  'color': 'orange',\n",
       "  'number': 61,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064792'),\n",
       "  'color': 'orange',\n",
       "  'number': 57,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064793'),\n",
       "  'color': 'orange',\n",
       "  'number': 66,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064794'),\n",
       "  'color': 'orange',\n",
       "  'number': 64,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064795'),\n",
       "  'color': 'orange',\n",
       "  'number': 62,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064796'),\n",
       "  'color': 'orange',\n",
       "  'number': 67,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064797'),\n",
       "  'color': 'orange',\n",
       "  'number': 70,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064798'),\n",
       "  'color': 'orange',\n",
       "  'number': 84,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a064799'),\n",
       "  'color': 'orange',\n",
       "  'number': 72,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a06479a'),\n",
       "  'color': 'orange',\n",
       "  'number': 100,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a06479b'),\n",
       "  'color': 'orange',\n",
       "  'number': 93,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a06479c'),\n",
       "  'color': 'orange',\n",
       "  'number': 85,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a06479d'),\n",
       "  'color': 'orange',\n",
       "  'number': 83,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a06479e'),\n",
       "  'color': 'orange',\n",
       "  'number': 69,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a06479f'),\n",
       "  'color': 'orange',\n",
       "  'number': 66,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a0647a0'),\n",
       "  'color': 'orange',\n",
       "  'number': 80,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a0647a1'),\n",
       "  'color': 'orange',\n",
       "  'number': 91,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a0647a2'),\n",
       "  'color': 'orange',\n",
       "  'number': 52,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a0647a3'),\n",
       "  'color': 'orange',\n",
       "  'number': 52,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a0647a4'),\n",
       "  'color': 'orange',\n",
       "  'number': 86,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a0647a5'),\n",
       "  'color': 'orange',\n",
       "  'number': 85,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a0647a6'),\n",
       "  'color': 'orange',\n",
       "  'number': 55,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a0647a7'),\n",
       "  'color': 'orange',\n",
       "  'number': 98,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a0647a8'),\n",
       "  'color': 'orange',\n",
       "  'number': 92,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a0647a9'),\n",
       "  'color': 'orange',\n",
       "  'number': 62,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a0647aa'),\n",
       "  'color': 'orange',\n",
       "  'number': 96,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a0647ab'),\n",
       "  'color': 'orange',\n",
       "  'number': 72,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a0647ac'),\n",
       "  'color': 'orange',\n",
       "  'number': 60,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a0647ad'),\n",
       "  'color': 'orange',\n",
       "  'number': 95,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a0647ae'),\n",
       "  'color': 'orange',\n",
       "  'number': 71,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a0647af'),\n",
       "  'color': 'orange',\n",
       "  'number': 53,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a0647b0'),\n",
       "  'color': 'orange',\n",
       "  'number': 54,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a0647b1'),\n",
       "  'color': 'orange',\n",
       "  'number': 78,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a0647b2'),\n",
       "  'color': 'orange',\n",
       "  'number': 76,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a0647b3'),\n",
       "  'color': 'orange',\n",
       "  'number': 77,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a0647b4'),\n",
       "  'color': 'orange',\n",
       "  'number': 59,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a0647b5'),\n",
       "  'color': 'orange',\n",
       "  'number': 84,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a0647b6'),\n",
       "  'color': 'orange',\n",
       "  'number': 94,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a0647b7'),\n",
       "  'color': 'orange',\n",
       "  'number': 70,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb8be7a3d187a0647b8'),\n",
       "  'color': 'orange',\n",
       "  'number': 71,\n",
       "  'random': 'RATATOUILLE'}]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def find_all_purple_lte_50(col):\n",
    "    col_name = 'purple'\n",
    "    pipeline = [\n",
    "        { '$match': { 'color': 'purple', 'number': { '$lte': 50 } } },\n",
    "        { '$out' : col_name }\n",
    "    ]\n",
    "    db[col].aggregate(pipeline)\n",
    "    return col_name\n",
    "\n",
    "def find_all_orange_gt_50(col):\n",
    "    col_name = 'orange'\n",
    "    pipeline = [\n",
    "        { '$match' : { 'color' : 'orange', 'number' : { '$gt' : 50} } },\n",
    "        { '$out' : col_name }\n",
    "    ]\n",
    "    db[col].aggregate(pipeline)\n",
    "    return col_name\n",
    "    \n",
    "def append_col_stages(col):\n",
    "    return [\n",
    "        {\n",
    "            \"$group\": {\n",
    "              \"_id\": None,\n",
    "              \"_vqbPipelineInline\": {\n",
    "                \"$push\": \"$$ROOT\"\n",
    "              }\n",
    "            }\n",
    "        },\n",
    "        {\n",
    "            \"$lookup\": {\n",
    "              \"from\": col,\n",
    "              \"pipeline\": [\n",
    "                {\n",
    "                  \"$match\": {}\n",
    "                },\n",
    "                {\n",
    "                  \"$project\": {\n",
    "                    \"_id\": 0\n",
    "                  }\n",
    "                }\n",
    "              ],\n",
    "              \"as\": \"_vqbPipelineToAppend_0\"\n",
    "            }\n",
    "        },\n",
    "        {\n",
    "            \"$project\": {\n",
    "              \"_vqbPipelinesUnion\": {\n",
    "                \"$concatArrays\": [\n",
    "                  \"$_vqbPipelineInline\",\n",
    "                  \"$_vqbPipelineToAppend_0\"\n",
    "                ]\n",
    "              }\n",
    "            }\n",
    "        },\n",
    "        {\n",
    "            \"$unwind\": \"$_vqbPipelinesUnion\"\n",
    "        },\n",
    "        {\n",
    "            \"$replaceRoot\": {\n",
    "              \"newRoot\": \"$_vqbPipelinesUnion\"\n",
    "            }\n",
    "        },\n",
    "    ]\n",
    "    \n",
    "def group_orange_purple(col1, col2):\n",
    "    col_name = 'result'\n",
    "    pipeline = [\n",
    "        {\n",
    "            '$match' : { 'color' : col1 }\n",
    "        },\n",
    "        *append_col_stages(col2)\n",
    "        ,\n",
    "        {\n",
    "            '$out' : col_name\n",
    "        }\n",
    "    ]\n",
    "    db.purple.aggregate(pipeline)\n",
    "    return col_name\n",
    "\n",
    "col_1 = find_all_purple_lte_50(COLLECTION_NAME)\n",
    "col_2 = find_all_orange_gt_50(COLLECTION_NAME)\n",
    "group_orange_purple(col_1, col_2)\n",
    "\n",
    "list(db.result.find({}))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Drop the tested collections to wipe them clean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "db.purple.drop()\n",
    "db.orange.drop()\n",
    "db.result.drop()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Set up Dask as task runner"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "dsk = {\n",
    "    'input1' : COLLECTION_NAME,\n",
    "    'output1' : (find_all_purple_lte_50, 'input1'),\n",
    "    'output2' : (find_all_orange_gt_50, 'input1'),\n",
    "    'output3' : (group_orange_purple, 'output1', 'output2')\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "import dask and use it to do stuff"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'_id': ObjectId('5ebacdb8c5719bc19b6038e7'),\n",
       "  'color': 'purple',\n",
       "  'number': 24,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b6038fe'),\n",
       "  'color': 'purple',\n",
       "  'number': 16,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603901'),\n",
       "  'color': 'purple',\n",
       "  'number': 43,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603914'),\n",
       "  'color': 'purple',\n",
       "  'number': 39,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603915'),\n",
       "  'color': 'purple',\n",
       "  'number': 47,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb8c5719bc19b603919'),\n",
       "  'color': 'purple',\n",
       "  'number': 16,\n",
       "  'random': 'HYPERDRIVE'},\n",
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       "  'color': 'orange',\n",
       "  'number': 72,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a0647e7'),\n",
       "  'color': 'orange',\n",
       "  'number': 82,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a0647e8'),\n",
       "  'color': 'orange',\n",
       "  'number': 87,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a0647e9'),\n",
       "  'color': 'orange',\n",
       "  'number': 66,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a0647ea'),\n",
       "  'color': 'orange',\n",
       "  'number': 97,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a0647eb'),\n",
       "  'color': 'orange',\n",
       "  'number': 85,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a0647ec'),\n",
       "  'color': 'orange',\n",
       "  'number': 94,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a0647ed'),\n",
       "  'color': 'orange',\n",
       "  'number': 81,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a0647ee'),\n",
       "  'color': 'orange',\n",
       "  'number': 92,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a0647ef'),\n",
       "  'color': 'orange',\n",
       "  'number': 71,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a0647f0'),\n",
       "  'color': 'orange',\n",
       "  'number': 86,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a0647f1'),\n",
       "  'color': 'orange',\n",
       "  'number': 52,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a0647f2'),\n",
       "  'color': 'orange',\n",
       "  'number': 63,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a0647f3'),\n",
       "  'color': 'orange',\n",
       "  'number': 64,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a0647f4'),\n",
       "  'color': 'orange',\n",
       "  'number': 99,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a0647f5'),\n",
       "  'color': 'orange',\n",
       "  'number': 69,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a0647f6'),\n",
       "  'color': 'orange',\n",
       "  'number': 59,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a0647f7'),\n",
       "  'color': 'orange',\n",
       "  'number': 92,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a0647f8'),\n",
       "  'color': 'orange',\n",
       "  'number': 94,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a0647f9'),\n",
       "  'color': 'orange',\n",
       "  'number': 85,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a0647fa'),\n",
       "  'color': 'orange',\n",
       "  'number': 84,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a0647fb'),\n",
       "  'color': 'orange',\n",
       "  'number': 98,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a0647fc'),\n",
       "  'color': 'orange',\n",
       "  'number': 56,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a0647fd'),\n",
       "  'color': 'orange',\n",
       "  'number': 53,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a0647fe'),\n",
       "  'color': 'orange',\n",
       "  'number': 68,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a0647ff'),\n",
       "  'color': 'orange',\n",
       "  'number': 74,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064800'),\n",
       "  'color': 'orange',\n",
       "  'number': 84,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064801'),\n",
       "  'color': 'orange',\n",
       "  'number': 73,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064802'),\n",
       "  'color': 'orange',\n",
       "  'number': 100,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064803'),\n",
       "  'color': 'orange',\n",
       "  'number': 71,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064804'),\n",
       "  'color': 'orange',\n",
       "  'number': 68,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064805'),\n",
       "  'color': 'orange',\n",
       "  'number': 56,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064806'),\n",
       "  'color': 'orange',\n",
       "  'number': 90,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064807'),\n",
       "  'color': 'orange',\n",
       "  'number': 52,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064808'),\n",
       "  'color': 'orange',\n",
       "  'number': 97,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064809'),\n",
       "  'color': 'orange',\n",
       "  'number': 72,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a06480a'),\n",
       "  'color': 'orange',\n",
       "  'number': 85,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a06480b'),\n",
       "  'color': 'orange',\n",
       "  'number': 72,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a06480c'),\n",
       "  'color': 'orange',\n",
       "  'number': 61,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a06480d'),\n",
       "  'color': 'orange',\n",
       "  'number': 99,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a06480e'),\n",
       "  'color': 'orange',\n",
       "  'number': 61,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a06480f'),\n",
       "  'color': 'orange',\n",
       "  'number': 57,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064810'),\n",
       "  'color': 'orange',\n",
       "  'number': 66,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064811'),\n",
       "  'color': 'orange',\n",
       "  'number': 64,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064812'),\n",
       "  'color': 'orange',\n",
       "  'number': 62,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064813'),\n",
       "  'color': 'orange',\n",
       "  'number': 67,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064814'),\n",
       "  'color': 'orange',\n",
       "  'number': 70,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064815'),\n",
       "  'color': 'orange',\n",
       "  'number': 84,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064816'),\n",
       "  'color': 'orange',\n",
       "  'number': 72,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064817'),\n",
       "  'color': 'orange',\n",
       "  'number': 100,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064818'),\n",
       "  'color': 'orange',\n",
       "  'number': 93,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064819'),\n",
       "  'color': 'orange',\n",
       "  'number': 85,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a06481a'),\n",
       "  'color': 'orange',\n",
       "  'number': 83,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a06481b'),\n",
       "  'color': 'orange',\n",
       "  'number': 69,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a06481c'),\n",
       "  'color': 'orange',\n",
       "  'number': 66,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a06481d'),\n",
       "  'color': 'orange',\n",
       "  'number': 80,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a06481e'),\n",
       "  'color': 'orange',\n",
       "  'number': 91,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a06481f'),\n",
       "  'color': 'orange',\n",
       "  'number': 52,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064820'),\n",
       "  'color': 'orange',\n",
       "  'number': 52,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064821'),\n",
       "  'color': 'orange',\n",
       "  'number': 86,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064822'),\n",
       "  'color': 'orange',\n",
       "  'number': 85,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064823'),\n",
       "  'color': 'orange',\n",
       "  'number': 55,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064824'),\n",
       "  'color': 'orange',\n",
       "  'number': 98,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064825'),\n",
       "  'color': 'orange',\n",
       "  'number': 92,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064826'),\n",
       "  'color': 'orange',\n",
       "  'number': 62,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064827'),\n",
       "  'color': 'orange',\n",
       "  'number': 96,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064828'),\n",
       "  'color': 'orange',\n",
       "  'number': 72,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064829'),\n",
       "  'color': 'orange',\n",
       "  'number': 60,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a06482a'),\n",
       "  'color': 'orange',\n",
       "  'number': 95,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a06482b'),\n",
       "  'color': 'orange',\n",
       "  'number': 71,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a06482c'),\n",
       "  'color': 'orange',\n",
       "  'number': 53,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a06482d'),\n",
       "  'color': 'orange',\n",
       "  'number': 54,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a06482e'),\n",
       "  'color': 'orange',\n",
       "  'number': 78,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a06482f'),\n",
       "  'color': 'orange',\n",
       "  'number': 76,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064830'),\n",
       "  'color': 'orange',\n",
       "  'number': 77,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064831'),\n",
       "  'color': 'orange',\n",
       "  'number': 59,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064832'),\n",
       "  'color': 'orange',\n",
       "  'number': 84,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064833'),\n",
       "  'color': 'orange',\n",
       "  'number': 94,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064834'),\n",
       "  'color': 'orange',\n",
       "  'number': 70,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacdb9be7a3d187a064835'),\n",
       "  'color': 'orange',\n",
       "  'number': 71,\n",
       "  'random': 'RATATOUILLE'}]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import dask\n",
    "\n",
    "dask.get(dsk, ['output3'])\n",
    "list(db.result.find({}))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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LNTaePqMCaobi4mJ66ilHpaWlyMnJQbdu3WBpaamxcW1tbVFUVKSx8fQZFVAzlJWVoXXr1hobr7i4GLNnz0b79u0hkUhgZWWFgQMH4sSJE7XLfP755xAEAYIg1NmliY2NrX3976W5dOlSCIKAiooKxMfH1y4jFovrvC8IAlxcXHDu3Dn069cPFhYWMDU1RZ8+feqcGazq8evz4MEDxMfHY+jQoXBwcMCGDRua94NtJCsrK1RXV2t0q0tvMdJkc+fOZS+88IJGxrp79y5zd3dn9vb2bN++faysrIxdvnyZRUREMEEQ2Jo1a+osb2ZmxgIDAx/7HH9/f2ZjY/PY609avoavry8zMzNjPXv2ZAkJCezhw4fs3LlzzMfHh0kkEnby5Em1jl/js88+YwAYANa7d2+Wlpb2zK9RtUOHDjEArKysTONj65ls2gJqBqlUColEopGxPvjgA+Tm5mL58uUYPHgwWrVqBQ8PD2zatAmOjo6YMWMGCgoK1JqhoqICK1euRM+ePWFmZoaAgABER0dDJpNh5syZah27xqJFiyCVSnHp0iV07twZ3bp1w2effaaRsWvUPG5bkxPf+ooKqBnkcvlTdxVUadeuXQCAQYMG1XndyMgI/fr1Q1VVldpvlmVmZgY/P786r3l7e8PJyQmpqam4e/euWsevIZFI0LlzZ6xatQpDhw7Fxx9/jKNHj2pk7JrxASogVaACagaxWAyFQqH2caRSKcrKymBsbAwLC4vH3re3twcA5OfnqzXHk+a77OzsAAD37t1T6/j1GTJkCABg//79GhtTLpcDAD16WwWogJrByMgIMplMI+NYWlqiuroa5eXlj71fs+vl4OBQ+5pIJKo3W2lpab1jCILwzBzFxcX1nnVcUzw1RaSu8etTszt0//79Jn19U9Rs+dSMTZqOCqgZJBKJxjbDR4wYAQCP3RRdKpXi2LFjMDExQVhYWO3rjo6OuH37dp1l8/PzcePGjXo/39TUtE5hdOrUCVFRUXWWqa6uxrlz5+q8lp6ejjt37sDX1xeOjo5qGX/u3LkYN25cvV938OBBAECPHj3qfV8danJSAakA72lwXfbf//6XPffccxoZ659HwR48eFDnKFhUVFSd5adNm8YAsB9++IGVl5ezK1eusMjISObs7FzvUajw8HBmaWnJbty4wRISEphYLGaZmZm17/v6+jJLS0vWr1+/Bh0FU+X4c+bMYYIgsE8//ZTl5uay6upqlpuby+bPn88AMH9/f1ZZWamKH3ODbNy4kUkkEqZUKjU2pp7KpgJqhjVr1rBWrVppbLyioiI2a9Ys5u7uzgwNDZmlpSULCwtjx44de2zZ0tJSNnXqVObo6MhMTExYUFAQO3fuHPP39689jL1gwYLa5bOyslhwcDAzMzNjrq6ubMWKFXU+z9fXlzk7O7PMzEwWFhbGLCwsmImJCQsJCWFxcXFqHb+srIytXbuWhYWFMTc3NyaRSJi5uTnz9/dnX375pUbLhzHGli1bxhwdHTU6pp7KpmfDN8OuXbsQERGh0cPxvPj5+aGoqIiugQLw0UcfYc+ePXRPoOajZ8M3R82cR81FqaRluHv3bu2RR9I8VEDN0K5dOwDA9evXOSchmpSbm0v3gFIRKqBmcHBwgKmpKXJzc3lHUZuaa7VSU1Nx+/ZtCIKARYsW8Y7FVW5uLt0DSkU0cxqvnhIEAe7u7sjOzuYdRW3mzp2LuXPn8o6hNaqrq3Hz5k106NCBdxS9QFtAzeTj44P09HTeMYiGZGZm4tGjR/QkFBWhAmomb29vOhrSgqSnp8PY2Ji2gFSECqiZ/Pz8cPPmTbpBVQuRkpICLy8vjV2ErO+ogJqpZ8+eEAQBiYmJvKMQDYiLi0NgYCDvGHqDCqiZWrdujS5dutDzwluAiooKpKamUgGpEBWQCgQFBeGPP/7gHYOoWVxcHBQKBdenh+gbKiAVGDBgAM6ePUtPStBzsbGx8Pb2rnPVP2keKiAVGDBgAEQiEY4cOcI7ClGj2NhYhIeH846hV6iAVKBVq1bo1asX9u3bxzsKUZOcnBxkZWVRAakYFZCKjBw5Env37kVVVRXvKEQNtm7dijZt2iA4OJh3FL1CBaQiI0eORFVVVe0d+oh+iYmJQWRkJJ3/o2JUQCri4OCAkJAQREdH845CVCwtLQ3p6ekYNWoU7yh6hwpIhaZMmYJ9+/bR/YH0zNq1a+Hh4UGH39WACkiFIiIiYGlpifXr1/OOQlSkqqoK0dHRmDx5cpOf3EGejApIhYyNjTFx4kSsWrWq9tlRRLdFR0ejsrISr7/+Ou8oeokKSMVmzJiBu3fvIiYmhncU0kyMMSxbtgzjxo2jW7CqCd2UXg1ee+01ZGdnIzk5mTbbddiePXswYsQIXLx4EZ6enrzj6KMcKiA1SElJgb+/P3bv3o2hQ4fyjkOagDGGgIAAuLq6Yvfu3bzj6CsqIHWJiIjAlStXcOHCBYhEtKera3bu3ImRI0fi/Pnz8PPz4x1HX1EBqcvFixfh6+uLjRs3YsyYMbzjkEZ49OgR/Pz84OnpSXN56kXPBVMXLy8vTJo0CXPmzEFZWRnvOKQRvvvuO1y5cgWff/457yh6jwpIjZYsWYJHjx7h008/5R2FNFB+fj4+++wzfPDBB/Dw8OAdR+/RLpiarVmzBu+++y7OnTtHcwk6YNSoUUhOTsbFixdhbGzMO46+ozkgdVMqlQgKCoJIJMLp06fpsLwWO3r0KAYMGID9+/dj0KBBvOO0BFRAmpCSkoIePXpg1apVeOONN3jHIfWorKxE9+7d4enpiZ07d/KO01LQJLQmdOvWDXPnzsX777+PzMxM3nFIPaZPn47CwkJ89913vKO0KLQFpCGPHj1C7969UVpairNnz8LU1JR3JPI/W7ZswZgxY7Bz504MHz6cd5yWhLaANEUsFmPz5s3Iz8/H9OnTecch/5OTk4M333wTs2fPpvLhgLaANOz333/HkCFD8Ouvv2LChAm847Ro1dXV6NmzJyQSCU6fPg2JRMI7UktDW0CaNmjQILz//vt49913kZKSwjtOi8UYwxtvvIHr168jJiaGyocT2gLiQC6X4+WXX0Z6ejri4+PRvn173pFanAULFmDZsmXYv38/QkNDecdpqegwPC+VlZXo378/CgoKEB8fDwcHB96RWowVK1Zg+vTp+OWXXzBx4kTecVoy2gXjxdTUFHv37oWhoSFCQ0NRWlrKO1KLsHnzZsyYMQNff/01lY8WoALiyNbWFgcPHkRRUREiIiJQXV3NO5Jei42NxcSJEzFnzhzMmTOHdxwCKiDu3N3dERsbiwsXLiAsLIy2hNRk+/btGD58OMaMGYOvvvqKdxzyP1RAWsDHxwdxcXHIzc1FUFAQbt26xTuSXlm5ciVGjRqFqVOnYt26dXQ9nhahAtISnp6eOH36NBQKBYKDg3H58mXekfTCV199hffeew/z5s3Djz/+SHen1DL0t6FF2rVrh9OnT8POzg4vvfQSzp07xzuSznr06BHeeustLFy4EGvWrMF///tf3pFIPaiAtIytrS2OHTuG7t2746WXXsLq1at5R9I5t2/fRt++fbFx40bs2LEDU6dO5R2JPAEVkBYyNzfH/v37sWDBAkybNg0RERE0Od1Ax44dQ0BAAAoKCpCYmIhhw4bxjkSeggpISxkYGGDx4sU4cuQI/vzzT3Tr1g1nz57lHUtrPXr0CIsXL0ZoaCj69++P5ORk+Pr68o5FnoEKSMv16dMHycnJcHd3R0hICL799ls8evSIdyytkpWVhd69e2PJkiWIiorCxo0bYW5uzjsWaQAqIB3g6OiII0eO4MMPP8SHH36IgIAAxMfH847FXWVlJT788EP4+vqisrISZ8+exZQpU3jHIo1ABaQjDAwM8NFHHyEjIwNOTk4IDg7GhAkTcO/ePd7RuNi3bx+6du2KlStXYsmSJTh37hy8vLx4xyKNRAWkY9q3b48DBw4gJiYGJ06cQJcuXbBixQrIZDLe0TQiMzMTgwYNwrBhwxAUFISsrCzMnDkTBgYGvKORJqAC0lEjR47EpUuXMGXKFMyZMwedOnXCunXr9G5+qGYLLycnB+PHj4e3tzdu3bqFEydOYOPGjXQXAR1HBaTDzM3NsWTJEly5cgVDhw7Fu+++i7Zt22Lx4sV6c9h+1apV8Pf3h6enJ+Lj47Fq1SqcP38eISEhvKMRFaD7AemRvLw8LFu2DOvWrYNYLMaECRMwdepUeHt7QyaT6cxd/6qqqrBt2zasWbMGcXFxAIDXX38da9eupV0t/UI3JNNHJSUliIqKwtq1a3HlyhX4+/vDysoK69evh5OTE+949VIoFDh16hS2bt2KmJgYVFZWYujQoQgLC8Mbb7wBQRCwcuVKvP3227yjEtWhAtJnjDGcOHEC48aNQ1FRERQKBYKCgjBo0CCEh4fDx8eHa74HDx7g2LFjiI2NxZ49e1BQUIBu3bph7NixGD9+POzs7HDv3j3Y29sDAARBoJv56xcqIH03d+5cfPPNN3jllVcwbtw47NixA4cOHUJhYSGcnJzw0ksvoVevXggMDISXl5dad9Py8/Nx9uxZxMXFIT4+HufOnYNCoUCPHj0wePBgREZGwsPDo87XKJVKSCQSKBQKAIBIJMLGjRsxZswYteUkGkMFpM82btxYu7UwevRobNq0CcBf/6jPnz+PI0eOIC4uDgkJCSgtLYWhoSE6deoELy8vdOzYEW5ubnB3d4eDgwNsbGxgY2Pz1DmYiooKFBcXo6CgALdu3UJubi5yc3Nx6dIlpKWlobCwECKRCJ6enggMDERISAhCQ0NhY2Pz1O/Dzs4OhYWFtf8vEomwefNmREZGquCnRDjKEfNOQNTj/PnztVeBi0SiOsUhEokQEBCAgIAAAH8VUlZWFtLS0pCamoqMjAzs2LEDeXl5qKysrPO5VlZWAAAjIyOYmJjUHm2rqqqqc0tZQRDg6OgId3d3dOrUCYMHD4a3tze6d+9e+xkN5eDgUKeAGGMYO3YsTExMMGTIkEZ9FtEuVEB6KD8/Hy+//HLtbosgCE/dcqnZKvH09MRrr71W572CggIUFhaiqKgIxcXFKCkpgVKpRHV1NaqqqmrLxNTUFNbW1rCxsYGtrS2cnZ1hbGysku/H1dUV6enptf/PGINCoUBERAT27t2LgQMHqmQconlUQHqmuroaQ4YMwf379xtcQE9jb29fOwnMi7OzM8RicZ2TLBljUCqVGDFiBGJjY9G7d29+AUmT0YmIeqbmiatyubzO67p8/oyjo2O9+ZVKJeRyOQYOHIjTp09zSEaaiwpIj3z77bf49ddfa7d8agiCoNP3QnZwcIBSqaz3vb+XUFJSkoaTkebS3bWS1HH06FHMmzcPTzqoqetbQP/covs7hUKBiooKhIeHo6CgQIPJSHNRAemB3NxcjBw58onvN2cOSBs4Ojo+8T1DQ0OIxWKMGzcOcXFx3OerSOPQJLSOKy8vx8CBA1FRUfHE3RRAt7eA6rvi3cDAAAYGBnj77bcxf/58ODs7c0hGmou2gHQYYwwTJkzA5cuXn3kbDl2fAxIEoXYuy97eHpMmTYJMJsPrr79O5aPDdHetJBAEAStWrMDy5cvh7e0NAPVeSqHru2BGRkawtLSEh4cHfvnlF9y8eRNRUVHw8/PDt99+yzseaQYqIB3n5OSEmTNnIi0tDRcuXEB4eHjtCYCGhoYA/jpSpMtbQABw4MABXLp0CRMmTIChoSEEQcD777+PLVu24Pr167zjkSbS7bWS1OHr6wupVIoBAwbg8OHDGDVqFExMTCCXy3V6CwgAevbs+dgz3UePHg1nZ2csW7aMUyrSXHQxqh65d+8enJ2dsWnTJrz66qsA/rpAdPfu3TAxMUFERATnhKq3bNkyLFq0CNevX4etrS3vOKRx6Gp4fbJs2TIsXrwY+fn5MDEx4R1HIyoqKtCuXTvMmDEDH3/8Me84pHFyaBdMj2zcuBGRkZEtpnwAwMzMDG+//Ta+/wLKz3UAACAASURBVP57VFRU8I5DGokKSE9cunQJKSkpGDduHO8oGjdjxgxUVlZi/fr1vKOQRqIC0hMbNmxA27ZtERwczDuKxtnZ2WHixIlYunSp3j2WSN9RAekBxhi2bNmCcePG6fzh9qaaN28ebty4gR07dvCOQhqBJqH1wIkTJ9C3b19cvHgRXbt25R2Hm8jISGRnZyMlJeWxQ/ZEK9EktD6Ijo6Gv79/iy4fAJg/fz5SU1Nx7Ngx3lFIA1EB6bjq6mrs3LkT48eP5x2Fu4CAAPTt2xdLlizhHYU0EBWQjtuzZw8ePnyIUaNG8Y6iFebPn48jR47g/PnzvKOQBqA5IB03ZMgQKBQKHDhwgHcUrdG9e3d06tQJmzdv5h2FPB3NAemywsJCHDp0iHa//mHOnDnYtm0brl69yjsKeQYqIB22ZcsWGBkZYejQobyjaJXXXnsNbm5uWL58Oe8o5BmogHRYdHQ0Ro4cCTMzM95RtIqBgQFmzJiBdevW1XmgIdE+VEA6KicnB+fOnWuRl140xNSpU2FqaooVK1bwjkKeggpIR23YsAGOjo70QL4nMDU1xXvvvYcffvgBDx8+5B2HPAEVkA5ijGHTpk0YN26czt9oTJ2mT58OqVSKdevW8Y5CnoAKSAfFx8fj2rVrGDt2LO8oWs3GxgaTJk3C0qVLn/pcMcIPFZAO2rhxI3x9feHj48M7itabPXs27t69i5iYGN5RSD2ogHSMTCbDjh07aPK5gdzd3TFy5EgsWbLkiU+NJfxQAemY/fv3o6SkBK+99hrvKDrjX//6F9LT03H48GHeUcg/0KUYOmbEiBGoqKigf0yNFBoaCoVCQVfKaxe6FEOXlJSU4ODBg7T71QTz58/H8ePH8eeff/KOQv6GCkiHbN26FQYGBhgxYgTvKDqnf//+8Pf3pyepahkqIB2yceNGjBgxAhYWFryj6KR58+Zh586dyMnJ4R2F/A8VkI7Iy8tDYmIi7X41w8iRI+Hu7k5bQVqECkhHbNiwAW3atEH//v15R9FZBgYGeP/99/HLL78gPz+fdxwCKiCdsWnTJowdOxZisZh3FJ02efJkWFlZ4ccff+QdhYAKSCf8+eefuHz5Mu1+qYCxsTHeeecdrFy5EuXl5bzjtHhUQDogOjoaXbp0Qffu3XlH0QvTpk2DXC7H2rVreUdp8aiAtJxcLsfWrVsxYcIE3lH0hrW1NaZMmYJvv/0WMpmMd5wWjQpIyx08eBDFxcV06YWKzZkzBwUFBdiyZQvvKC0aXYqh5SIjI1FYWIgTJ07wjqJ3xo8fj+TkZFy8eLHFPtKaM7oUQ5s9ePAA+/fvp6deqMn8+fORlZWFgwcP8o7SYlEBabGYmBgwxhAREcE7il7y9vZGWFgYvv76a95RWiwqIC0WHR2NoUOHonXr1ryj6K358+fj1KlTSExM5B2lRWoxc0Dbt2/H559/zjtGo9y/fx9GRkYae+yOpaUlTp06pZGxGqKsrAwhISFqH6egoABWVlaQSCRqH0sdoqKi8Pzzz/OO0RQ5Lea02qKiIly+fBnvv/8+7yhaKSUlBWfOnOEdo45Hjx4hNTUVY8aMQbt27XjH0TpVVVVYvny5Tp9Q2WIKCABMTEzwxRdf8I6hlVavXq11BVRj8uTJ6NevH+8YWqe4uFjnn/5Kc0CEEG6ogAgh3FABEUK4oQIihHBDBUQI4YYKiBDCDRUQIYQbKiBCCDdUQIQQbqiACCHcUAERQrihAiKEcEMFRAjhhgqIEMINFRAhhBsqIEIIN1RAhBBuqIAIIdxQARFCuKECIoRwQwVECOGGCogQwg0VECGEGyogQgg3VECEEG6ogAgh3FABEUK4oQIihHBDBUQI4YYKiBDCDRUQIYQbKiBCCDdUQIQQbqiACCHcUAERQrihAiKEcEMFRAjhhgqIEMINFRAhhBsqIEIIN1RAhBBuqIAIIdxQARFCuKECIoRwQwWkIYmJibh69SrvGERF8vPzUVxczDuGzhPzDqBJDx48gJ+fH5exc3Jy4ODgAAsLCy7jP4s2/2N66623YG5uzjtGHaWlpaiuroaDgwO3DAqFgtvYqtJiCqh79+6YP38+l7FTUlKQmpqKDh06wN/fn0uGhjA1NeUdoQ5TU1N88MEHvGPU68iRI0hPT8e4ceMgkUi45RgyZAjc3Ny4jd9cAmOM8Q6hz4qLi9G+fXuUlZVh1qxZWLZsGe9IRAW8vLyQkZGBJUuWYN68ebzj6KocmgNSs4ULF6KyshKCICA7O5t3HKICDx8+RFZWFgDgq6++QlVVFedEuosKSI1SUlKwZs0ayOVyMMZw+fJl3pGICvz555+18y+lpaVYt24d50S6iwpITRhjeO+992BgYFD72o0bN6BUKjmmIqoQHx9fO++jUCjw+eefQyaTcU6lm6iA1GTDhg34888/IZfLa1+Ty+W4ffs2x1REFU6dOlXn7/XevXvYtGkTx0S6iyah1aC8vBzPPfcciouL8c8f7/Hjx9GnTx9OyUhzKRQKWFpaoqKiovY1QRDQtm1bXL16tc4WL3kmmoRWh08++QSlpaWPlY9YLKaTEXVcenp6nfIB/trdvnHjBnbu3Mkple6iAlKxzMxMfP/993j06NFj7xkYGFAB6bj4+HiIxY+fPicIAhYvXvzYLx3ydFRAKjZ9+nSIRPX/WGUyGR2K13FxcXH1vq5UKpGZmYmDBw9qOJFuowJSoZiYGBw/frzOBOXfMcZqzx8huunkyZP1bt0Cf23hfvzxxxpOpNtoElpFKioq0KFDBxQUFDx1M9zExASVlZUaTEZU5fbt23BxcXnmcidOnEDv3r3VH0j30SS0qsTHx8Pa2rp290ssFtc7V1BVVYWCggJNxyMqEB8fD0EQnrqMIAj497//raFEuo8KSEVCQ0ORkZGB8vJyJCYmYvny5XB0dIS1tXXtodma/9JEtG6Kj48HAEgkEkgkksfm+lq3bo1OnTrBzMwMRUVFPCLqHNoFUyM7OzssWrQIU6dORWpqKpKTk5GUlISxY8diwIABvOORRpoyZQru3bsHNzc3ODk5wcXFBW+//TYWLlyI2bNnw9jYmHdEXZNDBaQmeXl5cHd3R1xcHAIDA3nHIWri6emJyMhILF68mHcUXURzQOqSlJQEAwMDbjdAI5rh4uKCW7du8Y6hs6iA1CQ5ORldunSBmZkZ7yhEjVxcXHDz5k3eMXQWFZCaJCcna/XdD4lq0BZQ81ABqQFjDOfPn6cCagFoC6h5qIDUIDc3F8XFxVRALYCLiwvKy8vx4MED3lF0EhWQGiQnJ8PAwAC+vr68oxA1c3V1BQDaCmoiKiA1SE5OhqenJ01AtwA1l2bQPFDTUAGpQVJSEu1+tRBWVlYwNzenAmoiKiAVY4whJSWFCqgFcXZ2pl2wJqICUrFr167h/v37CAgI4B2FaIirqyvd67uJqIBUrOYMaB8fH95RiIbQuUBNRwWkYsnJyejatavWPeaYqA+dC9R0VEAqlpycTLtfLQxtATUdFZAK0RnQLZOLiwvKyspQXl7OO4rOoQJSoatXr6K0tJQKqIWpORmRtoIajwpIhZKSkiAWi2kCuoWpORmR5oEajwpIhZKTk+Hl5QUTExPeUYgGWVtbw8zMjLaAmoAKSIXoFhwtl7OzMxVQE1ABqQidAd2y0ZGwpqECUpGcnByUlpbSIfgWytXVlQqoCaiAVCQ5ORmGhobw9vbmHYVwQCcjNg0VkIrUTEDTo1laJtoFaxoqIBVJSkqi3a8WzMXFBaWlpXQyYiNRAakAYwwXLlygCegWrOZcILoqvnGogFQgOzsbZWVlVEAtGN2atWmogFQgKSkJEomEJqBbMBsbG5iamtI8UCNRAalAcnIyvL29YWRkxDsK4YhORmw8KiAVoDOgCUBHwpqCCqiZlEolnQFNANDJiE1BBdRMly9fRnl5ORUQoS2gJqACaqbk5GRIJBJ4eXnxjkI4o6djNJ6YdwBNys/PR15eHvLy8nDnzh0UFxejqKgIJSUlUCqVKCsrq13W3NwchoaGsLCwgI2NDdq0aQMHBwe4ubnBzc0Nzs7OEIlESE5Oho+PD01At2ByuRw3b95ESUkJSkpK8Omnn6K8vBzFxcWoqKiAVCpFZWUlAEAQBLRu3RoikQg2Nja1f1xdXWvXLWtra87fkeYIjDHGO4SqMcZw6dIlJCQk4Pz580hPT0d6enptwYjFYjg4OMDGxga2trawtraGSCSCpaVl7Wc8fPgQcrkc5eXlKCwsRFFREfLz8yGVSgEAJiYm8PT0RGlpKRwcHLBs2TJ069YNYnGL6vQWp6qqCklJSUhMTERqairS09ORlZUFuVwOADA2NoazszNsbW1hY2MDMzMzGBsb17lHVM0vvJpfgMXFxcjPz0fNP8U2bdrAx8cHPj4+6N69OwIDA+Hu7s7l+1WzHL0poGvXriE2NhaxsbGIi4tDSUkJzMzM4OfnB29vb/j6+qJTp05wd3eHi4tLk4qCMYY7d+4gLy8P2dnZSE9PR1paGlJSUnD//n2YmZnhhRdeQGhoKMLDw+Hj4wNBENTw3RJNUSgUOHPmDA4ePIijR48iOTkZcrkcTk5O8PPzqy2K9u3bw83NDXZ2dk0aRyqV4vr168jLy0NmZmbtupWWlgaZTAZHR0eEhIQgPDwcYWFhcHBwUPF3yoVuF1BGRgZiYmIQExODrKwstGrVCv3790fv3r3Rq1cv+Pr6amSLhDGGrKwsJCYm4uTJkzh8+DAKCgrg7OyMV155BaNGjULPnj2pjHSEXC7HsWPHEBMTgz179uD+/ftwd3dHWFgYgoODERgYiHbt2mkkS3V1NZKSkpCQkICjR4/i9OnTkEqlCAgIQGRkJF599VWNZVGDHDAdc//+ffb9998zHx8fBoC5uLiwWbNmsRMnTjCZTMY7HmOMMYVCwZKSktgnn3zCunTpwgCwtm3bssWLF7MbN27wjkeeICMjg73//vvM1taWCYLAnn/+efb111+zS5cu8Y5Wq6Kigu3bt49NnjyZWVtbM0EQWHBwMFu/fj2rrKzkHa+xsnWmgNLS0tikSZOYiYkJMzc3Z1OnTmWnT59mCoWCd7RnSktLY/Pnz2d2dnbMwMCADRkyhB0/fpx3LML++mWxfft2FhwczACw5557jv3nP/9hubm5vKM9k0wmY7///jsbOXIkk0gkrHXr1mz27NksLy+Pd7SG0v4COnnyJAsNDWWCIDBPT0+2evVq9uDBA96xmkQqlbJt27bVruz+/v4sJiZGJ0pU31RXV7MVK1aw9u3bM5FIxIYNG8YOHz6ss38X+fn57L///S9zcXFhYrGYjR49mqWnp/OO9SzaW0AJCQmsX79+DADr06cP+/3335lSqeQdS2XOnj3LXn31VSYSiZiPjw/bvXu3Xn1/2komk7GoqCjWtm1bZmxszN555x2WnZ3NO5bKyGQytnHjRubj48NEIhEbPXo0y8rK4h3rSbSvgG7cuMHGjx/PBEFgPXv2ZEePHuUdSa0yMjLY+PHjmUgkYi+99JIu/NbSWUeOHGFeXl7M0NCQjR8/nl27do13JLVRKpVs7969zM/Pj4nFYjZjxgxWVlbGO9Y/aU8BVVVVsUWLFjFjY2PWqVMntn//ft6RNOrs2bMsICCAGRoasvnz57OHDx/yjqQ3rly5wsLDwxkA9sorr7CrV6/yjqQxCoWC/fTTT8za2po5OzuzmJgY3pH+TjsK6NSpU8zDw4O1atWKLVu2TGuOZmmaQqFgK1euZFZWVszV1ZXt2LGDdySd9ujRI/b1118zU1NT5u3tzU6ePMk7EjeFhYVs8uTJTBAEFhoaqi27nXwLSCaTsdmzZzNBENjgwYPpEPX/FBQUsIkTJzJBEFhERAQrKSnhHUnn5ObmshdffJEZGRmxzz77rMX+Uvun+Ph45uvry4yMjNjy5ct5zzvyK6Dc3Fz2wgsvMHNzc7Z+/XpeMbTa8ePHmbOzM3Nzc2NnzpzhHUdn7Nq1i1lZWTFvb2+WkZHBO47Wkcvl7PPPP2disZgNHz6c3b9/n1cUPgW0Z88eZm1tzbp06UKTrs9QWFjIBg4cyMRiMfvkk0909jCxJsjlcrZgwQImCAIbP348q6io4B1Jq506dYo5OzszV1dXFh8fzyOCZgtIJpOxmTNnMkEQ2NSpU3XxzE0uFAoF++KLL5hYLGZDhw7l+RtLa+Xm5rIePXowc3NzFh0dzTuOzrh37x4LDw9nhoaG7JtvvtH08JoroIcPH7KwsDBmbm7OfvvtN00Nq1f++OMP5uzszLp27cpu3rzJO47WOH/+PLO3t2c+Pj7afM6L1lIqlezLL79kBgYG7M0332SPHj3S1NCaKaDi4mLWq1cvZm1tzRISEjQxpN66c+cO8/HxYU5OTiwtLY13HO5OnDjBLC0tWZ8+fbTxPBedsnfvXmZiYsKGDRumqb0T9RfQ7du3mbe3N2vXrh39dlKR+/fvs6CgIGZlZcXi4uJ4x+Fm9+7dzNjYmI0YMYJVVVXxjqMXEhMTmY2NDQsJCWGlpaXqHk69BXTx4kXm4uLCvL292e3bt9U5VItTUVHBBg8ezMzMzNiBAwd4x9G4VatWMQMDA/bee+/RxLyKpaWlMScnJ+br68vu3LmjzqHUV0DZ2dnMzs6OBQcH03ksaiKXy9nEiROZRCLR+0tW/i4qKooJgsD+/e9/846it3Jzc5mHhwfz9PRkxcXF6hpGPQVUUFDAOnbsyHr06MHKy8vVMQT5H6VSySZOnMgsLCxYUlIS7zhqt2fPHiYWi9nixYt5R9F7t2/fZm5ubuz5559X16VBqi+gsrIy1q1bN9ahQweWn5+v6o8n9ZDJZCw8PJzZ2trq9TzbyZMnmbGxMXvrrbd4R2kxcnJymJ2dHRs0aBCTy+Wq/njVFlBVVRV76aWXmJOTk07c0EmfVFRUsJ49ezJ3d3d177dzkZaWxqysrNiwYcM0eZiYsL8ulDY3N2djx45V9aUbqisgpVLJXnnlFWZlZUVnN3Ny79495uHhwfz8/PTqLOCbN28yR0dH1qdPH1ZdXc07Tot04MABZmhoyBYuXKjKj1VdAX377bdMLBa36CuOtcG1a9eYtbU1mzRpEu8oKiGXy1lQUBDr3LkznefD2Zo1a5ggCOz3339X1UeqpoDOnj3LJBIJ++KLL1TxcaSZ9u/fzwRB0IuLfP/1r38xY2NjlpKSwjsKYYxNmDCBWVtbq+q+080voJKSEubu7s769u1L52NokTlz5jAzMzOWmZnJO0qTHTt2jIlEIrZ27VreUcj/PHz4kHl6erIXX3xRFbc4yW7Wc8EYYxg5ciQSEhKQkpKiLw9L0wuPHj1C7969UVZWhjNnzsDU1JR3pEbJz89Ht27dEBISgi1btvCOQ/4mIyMDzz//PGbNmoX//Oc/zfmo5j0XbOXKlUwsFrNTp041twmJGly/fp1ZW1uzd999l3eURlEqlaxPnz6sU6dOdB6Zlvr555+ZSCRq7uOlmr4Ldv36dWZhYcE+/PDD5gQgarZp0yYmEol06oZmq1evZmKxuEWcWKnLhg8fzjp37sykUmlTP6Lpu2BDhw7F5cuXkZqaCmNj4+ZshhE169evX+2umIGBAe84T3Xnzh107doVb775Jr766ivecchT3Lx5E126dMHChQvxwQcfNOUjmrYLtmPHDiYIAvvjjz+a2nxEgzIzM5lEImE//vgj7yjP9Nprr7H27dvTzep0xBdffMFMTU2belSs8btgUqmUdezYkY0dO7YpAxJOFixYwFq1aqXVZ0knJCQwQRDYnj17eEchDSSVSlmXLl3Y8OHDm/LljS+gr776ipmamtId+XTMw4cPWdu2bdnEiRN5R6mXUqlkPXr0YP379+cdhTTS0aNHGYCmnKDYuAIqLS1l1tbWbNGiRY0diGiBzZs3M5FIxC5evMg7ymO2b9/ORCIRu3DhAu8opAkiIiKYj49PY88FbNwk9OLFi/Hdd9/h2rVrsLKyasqkE+GIMYZu3bqhY8eO2LZtG+84tZRKJbp164YuXbrQOT86KiMjAz4+Pti8eTMiIyMb+mUNn4QuKSlhlpaW7LPPPmtkNxJtsmvXLiYIAktNTeUdpdaWLVuYgYGBTp+1TRgbM2YM8/T0bMwV8w3fAlqyZAk+//xz3Lx5E5aWlk2vSsKdn58ffHx8sGHDBt5RAAAvvPAC3NzcsHXrVt5RSDNkZWWha9eu2LNnDwYPHtyQL8lpUAHJ5XK0b98ekZGRWLp0afOTEq5+/fVXvPnmm7h69SpcXV25Zjl16hR69+6NxMREvPjii1yzkOYbNGgQKisrceLEiYYsniNqyFI7d+7E3bt3MX369OalI1phzJgxaNOmDVavXs07Cn744QcEBgZS+eiJOXPm4OTJk7hw4UKDlm9QAUVFRWHQoEFo165ds8IR7SCRSDB58mSsW7cOcrmcW46CggLs3bsX77zzDrcMRLX69u2LLl26YO3atQ1a/pkFdO3aNZw8eRJvvPFGs8MR7TFlyhTcu3cPBw4c4JZh3bp1MDMzQ0REBLcMRPUmTZqE6OhoVFZWPnPZZxbQr7/+CkdHR4SHh6skHNEObm5u6Nu3L9avX88tw/r16zFhwgSYmJhwy0BUb+LEiaisrMSePXueuewzC2jbtm0YNWqU1l/ESBpv9OjROHDgAMrKyjQ+9oULF3D58mWMGTNG42MT9bKzs0O/fv0adFTzqQWUkpKCrKysxpxYRHRIREQEGGPYu3evxsfeunUrXF1d8fzzz2t8bKJ+kZGRiI2NfeYvt6cW0O7du9G2bVtaSfRU69at0a9fP+zatUvjY+/ZswevvvoqBEHQ+NhE/YYPHw6lUomDBw8+dbmnFtDBgwfx8ssv00qix15++WUcO3ZMo0fD8vLycOnSJQwaNEhjYxLNsrKywosvvohDhw49dbknFlBRURGSk5Np8lnPDRo0CA8ePEBiYqLGxjx48CDMzMwQGBiosTGJ5oWHhyM2NhZPO9f5iQV0/PhxiEQi9O3bVy3hiHZwd3dH+/btcfToUY2NeezYMfTt2xdGRkYaG5NoXnh4OPLz83Hx4sUnLvPEAoqPj4efnx8sLCzUEo5oj+DgYMTFxWlsvISEBAQHB2tsPMKHr68vLC0tER8f/8RlnlpAtIncMgQGBuLMmTMamQe6du0a7t69i169eql9LMKXgYEBXnjhhcYXkFQqRVpaGl544QW1hSPao1evXqisrHzqprKqnD17FoaGhvD391f7WIS/nj174syZM098v94CysjIgFwuh5+fn9qCEe3RqVMnmJiYIC0tTe1jpaamonPnzvQklRbC19cXV69excOHD+t9v94CSktLg5GRETp27KjWcEQ7GBgYoEuXLkhPT1f7WGlpafDx8VH7OEQ7+Pj4QKlUIiMjo9736y2gzMxMeHp6QiwWqzUc0R7e3t4a2QXLyMhA165d1T4O0Q7u7u4wMzNrXAHl5uaiffv2ag1G6jpw4AA8PDy4lb67uztyc3PVOoZcLsetW7do3VKzkpISrF69Gn379oW1tTVMTEzQsWNHjB07FqmpqRrNIhKJ4Obm9sR164kF5Obmps5c5H+uXr2KoUOH4oMPPkBBQQG3HO7u7rh+/TqUSqXaxrh58yYUCgWtW2o2b948TJ8+HcOGDUNmZiaKi4uxbt06XLhwAf7+/ti9e7dG87i5uSEvL6/e9+otoBs3bujNzcfMzc0RFBSkteN/9NFH6NWrF5KTk7mec+Xu7g6pVIr8/Hy1jXH9+nUA0It1S9vXq8mTJ2PmzJlwcHCAqakpgoODsWnTJigUCsyfP1+DSf9at55UQI9t7ysUChQXF8PBwUHduQiAn3/+WSvuh2Nvbw8AuHfvHpycnNQyRkFBAQwMDNCmTRu1fD75y5PuRujr6wsTExNcvXoVjDGNXeNpb2+Pe/fu1fveY1tA9+/fh1KphI2NjdqDEWhF+QCo/fsuLi5W2xjFxcWwtraGSNSgOwETFauoqEBVVRW8vLw0eoG5jY0NioqK6n2v3gKq+SJNKS4uxuzZs9G+fXtIJBJYWVlh4MCBde6s//nnn0MQBAiCUGfTMzY2tvZ1W1vb2teXLl0KQRBQUVGB+Pj42mVqJnlr3hcEAS4uLjh37hz69esHCwsLmJqaok+fPnXO4FT1+NrGysoKBgYGai2g+/fv03rFcb2qeRjlwoULm/DTbDpbW1uUlpZCoVA8/uY/nxSWlJTEALCrV6+q6HFlT3f37l3m7u7O7O3t2b59+1hZWRm7fPkyi4iIYIIgsDVr1tRZ3szMjAUGBj72Of7+/szGxuax15+0fA1fX19mZmbGevbsyRISEtjDhw/ZuXPnmI+PD5NIJOzkyZNqHf/vnJ2dmYGBQYOWVQdzc3O2bt06tX3+ggULWEBAgNo+/+9ovaorPz+f2dvbs6lTpzb4a1TlwIEDDAB7+PDhP9/KfmwLSCaTAfjryQma8MEHHyA3NxfLly/H4MGD0apVK3h4eGDTpk1wdHTEjBkz1H50qKKiAitXrkTPnj1hZmaGgIAAREdHQyaTYebMmWodW5sYGRlBKpWq7fNlMhmtVxzWq+LiYoSHh6N3795cHsVU83de37rFvYBq7sb3z5tTGRkZoV+/fqiqqnrmTY2ay8zM7LHLTry9veHk5ITU1FTcvXtXreNrC4lEotYCkkqltF5peL2qqKhAWFgYPD098dtvv3G5t3vNbVcaVEDsfzcP0sQklVQqRVlZGYyNjes9BF1zZEadh4aBv25NWh87OzsAeOIMvr4RiURqPQ+INewp4M1G69VfHj16hFdffRXOzs5Yv349twdL1Bx0qG/deqyAan5D1WwJqZORkREsLS1RXV2N8vLyx96v2UT++ykBIpGo3mylpaX1jtGQIi0uLq73H0fNClKzwqhrfG0hlUrVepGoRCLRyC0/aL36y1tv4rH4LgAAHMpJREFUvQWpVIqYmJg6k9QdOnTAn3/++cyvV5WaLZ/61i2uBQQAI0aMAAD8/vvvdV6XSqU4duwYTExMEBYWVvu6o6Mjbt++XWfZ/Px83Lhxo97PNzU1rfO9dOrUCVFRUXWWqa6uxrlz5+q8lp6ejjt37sDX1xeOjo5qHV9byGQytd6l0MjIiNYrDa1XixcvRkZGBvbs2cP9zpM1BVRvjn9OS1+8eJEBYBkZGeqfHmePH6148OBBnaMVUVFRdZafNm0aA8B++OEHVl5ezq5cucIiIyOZs7NzvUcLwsPDmaWlJbtx4wZLSEhgYrGYZWZm1r7v6+vLLC0tWb9+/Rp0tELV4/8d76NghoaG7LffflPb53/yySfMy8tLbZ//dy15vfrll18YgKf+SUxMVMWPuUF27tzJBEFgMpnsn29lP1ZAd+/eZQDYH3/8oZl0jLGioiI2a9Ys5u7uzgwNDZmlpSULCwtjx44de2zZ0tJSNnXqVObo6MhMTExYUFAQO3fuHPP396/94S5YsKB2+aysLBYcHMzMzMyYq6srW7FiRZ3P8/X1Zc7OziwzM5OFhYUxCwsLZmJiwkJCQlhcXJzax9+3b98TV5J/HipWp9LSUgaAHTp0SG1jfPfdd8zR0VFtn/9PLXW9GjRokFYVUFRUFLO0tKzvrccLSCaTMUEQ2M6dO9WfTAvUrCgt3ZUrVxgAlpSUpLYxoqOjmaGhIVMqlWobQ1vQevX/vvjiC9a+ffv63nr8PCBDQ0O0atUKhYWFzdjrI7qm5lR5dZ6pbGtrC7lczuVR0ISfoqKiJ65X9V6U4+rq+sTJL6Kf8vLyYGBgAGdnZ7WN4erqCuD/r4onLcP169fRtm3bet+rt4Cedv8OfVFzTU1qaipu374NQRCwaNEi3rG4ycvLg4uLCwwNDdU2hru7OwRB0Ot1i9arx+Xm5sLd3b3e9+q9gs3d3R1JSUlqDcXb3LlzMXfuXN4xtIYmbkJnYmICOzs7td95kSdarx73tHWr3i2gLl26ICMjQ2NnrhL+Ll68CE9PT7WP4+np+cT7AxP9c+fOHZSUlDxx3aq3gHx8fPDgwQOaB2ohGGPIyMiAt7e32sfy8fHRyON/iHao+bv28vKq9/16C8jb2xuCINCK0kLcuHEDpaWlGikgb29vZGRk1H9vGKJ3Ll68CCcnpzr3NPq7eguo5tYFT3uiIdEfiYmJEIvFGnkQZY8ePVBRUaGRRwAR/hITE/H8888/8f0n3hszMDDwqc90JvojPj4e3bt3h7m5udrH8vLygqWlJRISEtQ+FuEvISEBgYGBT3z/iQXUq1cvnD17ViNXLxO+4uPj0atXL42MJRKJ8OKLL9IvtxbgypUryM/Pf+q69cQC6tOnDyorK+k3lZ4rLCxEamoq+vTpo7Exe/fujWPHjtFRVj135MgRWFhYICAg4InLPLGAnnvuOXTs2BGxsbFqCUe0w6FDhyAWizVaQOHh4cjPz0dKSorGxiSad/DgQfTr1++pd8F86vNRBg4ciAMHDqg8GNEesbGxCAwM1OhDEWvuhXPw4EGNjUk0SyqV4sSJE3XuuVSfpxbQ0KFDkZaWhpycHJWGI9pBKpVi//79GDp0qEbHFQQBQ4YMwY4dOzQ6LtGcQ4cOobKyEoMHD37qck8toN69e8Pe3h4xMTEqDUe0Q2xsLMrLy/Hqq69qfOxRo0YhJSUFWVlZGh+bqN/WrVsRGBgIFxeXpy731AIyMDBAREQEtm7dqtJwRDts3boVQUFBar0C/klCQkJgb2+P7du3a3xsol6VlZXYt28fIiMjn7nsM5+RO378eKSnpz92b1ui20pKSrB7926MGzeOy/gGBgYYPXo0fvnlF7U+iYNo3vbt2yGVSjFq1KhnLvvMAurZsyd8fX2f+MB7opuio6MhEokatJKoy1tvvYXc3FwcP36cWwaiemvXrsWwYcPQpk2bZy77zAICgMmTJ2PTpk10Jzs9wRjDmjVrMGrUKLRq1Ypbjs6dO6NXr15cntZJ1CMzMxNxcXGYMmVKg5ZvUAG9/vrrMDAwwJo1a5oVjmiHw4cPIz09HdOmTeMdBdOmTcPu3btx9epV3lGICnzzzTfw8PDAgAEDGrS8wBp4Ours2bMRExODa9euaezxukQ9BgwYAEEQcPjwYd5RoFAo4OHhgcGDB+O7777jHYc0Q0FBAdzc3PD999/jjTfeaMiX5DRoCwgAZs6ciYKCAmzatKnpCQl3SUlJOHr0KObMmcM7CoC/JqOnTZuGn3/+ucU8AltfffPNN7C0tMT48eMb/DUN3gICgClTpuD48eO4fPkybQXpqIEDB6K4uBhnzpzRmsdGV1VVoUOHDhg9ejSWLl3KOw5pgsLCQjz33HP49NNPMXv27IZ+Wc5jzwV7mry8PCaRSNhPP/3UvAcFES7i4+MZAHb48GHeUR6zfPlyZmJiwm7fvs07CmmCmTNnMicnJ1ZZWdmYL8tu1BYQAEyfPh3btm1DVlYWWrdu3eimJHwolUr07NkTZmZmWnnYu7q6Gp06dUJIyP+1d+9RUZZ5HMC/78y8cnG4Q4K3UANBAUPCVYL0mBmJ22qncjnlcTu2u6krp23NDtWKhCsmIqitkJZmnHUr0kxWMTTZSExNSBASRAQluSSXlMEQhvntHy5sbmhcZuaZy+9zjv/I8LxfcfjO87zX6Xj//fdFx2H9UFZWhkmTJiE1NRVLlizpz7f2bwZERNTc3Ez33HMPLV++vL/fygRKT08nlUpFZ86cER3ljvbs2UOSJNHRo0dFR2H9EBkZSUFBQdTZ2dnfb/35o5n7YufOnaRQKOjkyZMD+XZmZI2NjeTu7k4rVqwQHeUXRUVF0cSJE6mjo0N0FNYH//znP0mhUNDx48cH8u39X4IBt05kmzlzJtra2nDixAkoFH0+mMYEWLx4MbKzs1FWVib0xMO+qKysREBAABISEvj5WiautbUV/v7+mDNnDrZt2zaQIfq/BOtWUlJCsizTtm3bBjoEM4JTp06RQqGgjz76SHSUPlu9ejXZ29tTdXW16CjsLv785z+Tq6srXb16daBDDGwJ1u0vf/kLOTs708WLFwczDDOQ1tZW8vPzo9mzZ4uO0i8//vgj+fj40OzZs6mrq0t0HNaLvLw8UqlUtH379sEMM7AlWLf29naEhYVBpVLh2LFjfG6QiVm0aBH+9a9/4ZtvvsHo0aNFx+mX06dP48EHH0RcXBxeffVV0XHYTzQ3N2Py5MkIDAzE/v37B3M+2cCXYN0qKirI0dGRXnzxxcEOxfTonXfeIUmS6NNPPxUdZcBSUlJIqVTS559/LjoK+y+dTkePP/44jRo1ihobGwc73OCWYN0++OADkiSJ9u7dq4/h2CCVlJSQvb09xcbGio4yKDqdjubPn0+enp5UV1cnOg4josTERJJlmfLz8/UxnH4KiIjo+eefJxcXF6qqqtLXkGwANBoN+fv7U3h4+EDOyzA5zc3N5O3tTZGRkbw/SLAvv/ySVCoVJScn62tI/RXQjRs3KCgoiCZMmEBNTU36Gpb1Q0dHB82ZM4c8PDyopqZGdBy9OXHiBNnY2PDJrwKVl5eTh4cHzZs3j3Q6nb6G1V8BERFduXKFvL29acqUKaTRaPQ5NPsFOp2OnnvuObK3tx/oSWEmbd++faRUKmnNmjWio1id2tpaGjNmDIWGhlJra6s+h9ZvARHd2il9zz33UFRUFJ/NakQrVqwgWZYpOztbdBSDSUtLI0mSBnvol/XDtWvXKDg4mO677z5qaGjQ9/D6LyCiWye/qdVqeuaZZ3jdbgRbtmwhSZLovffeEx3F4FatWkVKpZI+/vhj0VEs3s2bN2nWrFk0fPhwQ+3bNUwBERFlZ2eTLMu0bNkyLiED6p4VbNy4UXQUo/njH/9IdnZ2dPDgQdFRLNaNGzdo7ty55OzsTMXFxYbajOEKiIgoMzOTbGxs6Le//S3dvHnTkJuySqtXryZJkighIUF0FKPSarW0aNEikmWZMjIyRMexOM3NzRQeHk6urq6G3p9o2AIiIsrNzSUnJyeaOXMmXbt2zdCbswparZaWLFlCSqWS0tLSRMcRQqfTUVxcHEmSRG+++aboOBajtraWJk2aRF5eXlRUVGTozRm+gIiIiouLafjw4RQSEmKIHVlWpb29nZ5++mmysbExqwtMDWXTpk2kUCgoJiaGl/qDdOHCBRo3bhz5+/vTpUuXjLFJ4xQQ0a2jY+PGjSMfHx9DriktWm1tLUVERJCzszN98cUXouOYjIyMDJJlmaKjo/V9mNhqHD58mNzc3GjatGnGPI/PeAVERFRXV0fh4eFkZ2dH77zzjjE3bfYOHz5Mw4YNo/vuu48LvBc5OTnk7u5Ofn5+/PPpB61WS6tWrSKFQkFPP/00tbW1GXPzxi0gIqLOzk6Ki4sjhUJBzz77LH9i/QKtVktxcXGkVCpp/vz51NLSIjqSyaqpqaGIiAiytbWl1NRU0XFMXkNDA82ePZtsbGxE/byMX0DdsrOzycPDg/z8/Iyxs8ss1dbW0owZM8jW1tZqdzb3V2dnJ8XGxpIkSfwBdxc5OTk0bNgw8vHxocLCQlExxBUQEVF9fT3NmjWLZFmmmJgYfrP8V1dXF+3atYvc3d3Jx8eHvvnmG9GRzM6RI0fI09OTRowYQbt27RIdx2Q0NTVRTEwMKRQKeuKJJ0TPqMUWENGtJcamTZvIycmJvL29af/+/aIjCdF9gd+pU6fogQceIFmW6eWXX+ZSHoT6+npauHAhSZJEUVFRVFlZSUSkz4spzUZXVxelp6eTq6srjRgxgj744APRkYhMoYC61dXV9bxZ5s6da3W3eY2JiaE//OEPpFQq6aGHHqKzZ8+KjmQx8vLyKCAggOzs7CgyMtKi7hTQF4WFhTRt2jRSqVQUExNjSufjmU4BdTt69ChNmDCB7Ozs6KWXXrL484Y0Gg2tW7eObG1tSaVSUWpqqlV+QhuaRqOhkJAQkiSJxowZQzt27LCI+yXdTUVFBS1cuJCUSiVFRESY4tFB0ysgolv3tdm0aRN5enqSWq2mlStXUm1trehYenXt2jXasGEDDRs2jNRqNUVGRhIA8vDw4H0+etbS0kLTp08nAPTQQw/R73//e5JlmXx9fWnnzp0Wd5lQWVkZLV68mFQqFfn6+tLu3btN9UPNNAuoW1tbG61fv56GDRtGQ4YMoeeee86kn+zZF5cuXaKVK1eSk5MTqdVqWrFiBX3//ff05ZdfEgBSKBRkZ2dHn332meioFqGqqop8fX1JlmVSKpU9t6m9cOFCz/Vkw4cPp3Xr1g3m8TIm4YsvvqDf/OY3pFAoyMfHh3bu3GnqszzTLqBu7e3ttH37dvL39ycANGXKFNq2bZsprWXvqr29nT7++GOKjIwkhUJBw4cPp8TExNuOQFy7do0kSeopIYVCQenp6QJTm79Tp06Rm5sbybJMAEiSJPrwww9ve01NTQ29/PLL5OTk1HPh9OHDh83mso76+npKSkqi8ePHEwAKCwujPXv2mEt+8yigbjqdjnJzc+nZZ58lW1tbsrW1pXnz5tHu3btNrox+/PFHOnDgAC1atIicnZ1JqVTSnDlzaM+ePXe8UZuXlxcBuO3PK6+8YqrTZ5P2ySefkI2NDalUqtt+nuXl5b2+XqPR0I4dOygsLIwAkJeXFy1fvpzy8vJIq9UaOf3dNTQ00Ntvv00zZ84kpVJJzs7OtGzZMnNcuptXAf1US0sL7dixgx599FFSqVQkyzJNnz6dEhMT6cSJE0a/G2NXVxedPXuWtmzZQlFRUWRvb0+SJNHUqVMpJSWFvvvuu18cIyoqqmcW1P1HoVDQwoUL+e6S/ZCamtozi/zpz9LW1rZPM4OysjKKj4+nCRMmEABydXWlBQsW0I4dO+jChQtG+Bfcrq2tjXJzc+m1116jkJAQUigUZG9vT0899RRlZmbSjRs3jJ5JTwb3YEJT0dTUhJycHBw6dAifffYZGhoaYG9vj9DQUISGhiIwMBCBgYHw8/ODnZ3doLfX0dGByspKnD17FsXFxThz5gzy8/Pxww8/wMnJCQ8//DAiIyMRGRmJUaNG9Xnc119/HRs2bMDNmzdv+3uVSoXw8HDs27cPTk5Og85vqbq6uvDSSy9h8+bNvX598uTJKCgo6NeYZWVlyM7OxqFDh5CXl4f29nZ4enoiLCwMwcHBPe+te++9F0qlctD/huvXr+PcuXMoLi7G2bNncerUKRQWFqKzsxNjx47Fo48+isjISDz88MMYOnTooLcnWIVFFND/Ky8vx/Hjx3Hs2DGcOXMGpaWlPb/Unp6e8Pb2xsiRI+Hh4QF3d3c4OjrC0dERACDLMjo7OwEAbW1tuH79OhobG9HU1ITvvvsO1dXVuHLlCnQ6HVQqFXx8fHD//fdj2rRpCA8PR1BQ0IDfiB9++CGio6PR23+JLMsYN24ccnJy+lVq1qKtrQ3R0dE4cOAAdDrdz74uyzIWL16MtLS0AW/j5s2bKCgoQH5+Pr766isUFRWhqqoKRARZljFq1CiMGTMGXl5ecHNzg5ubGxwdHXs+9H763mppacH169dx9epVXL16FTU1NaiurkZTUxMAQK1WIyAgACEhIXjwwQcRHh5uif/vlllA/0+r1eL8+fOoqKhAdXU1qqqqcOXKlZ5i0Wg0+OGHHwDcepPZ2NgAABwcHKBWq3veTF5eXhgzZgy8vb0xbtw4TJgwAba2tnrL+e2332LixIl3/LpKpYKLiwsOHz6MSZMm6W275q6+vh6PPfYYSkpKoNVqe32NSqXCli1b8MILL+h1262trSgtLcXFixdRVVWF6upqfP/992hqakJjYyM0Gg1u3LgB4H/vLUmS4OzsDEdHR7i7u8Pd3R0jR46Et7c3vL294efnh7Fjxw7mkcfmwjoKyFxotVoMHToUHR0dd3yNSqWCra0tsrKyMGPGDOOFM1GlpaWYPXs2Ghoa0NXVddfX5ufnIywszEjJWB9UKEQnYP/TvaS7G51OB3d3d7S2thoplWlTq9UICwtDV1cXVCrVHV8nSRKCgoKMmIz1BReQiXnggQd6/UWSZRkODg5Yu3YtysrK8Otf/1pAOtNz7733IjMzEydPnkRwcDAkSep16TJ69Gio1WoBCdndcAGZmMDAwNt+gWRZhkKhQEhICC5cuIBXXnmlZx8V+58pU6bg5MmTWLZsGYYOHXpbiSsUCoSGhgpMx+6EC8jEBAYGorOzs+dI2iOPPIK//vWvKCgo6NlRznrX1taGvXv3YsGCBVixYgVkWe4p8Pvvv190PNYbUWcgsd7V1dURAJo4cSIdPXqUiG7dMykgIIDmz58vOJ1pe+2118jR0ZHq6+uJiKiyspLmzZtHACgrK0twOtYL8z0T2pLt3r37Z2fsHjx4kADQkSNHBKUybZcvXyZ7e3tKTk7+2ddyc3Mt/rYuZsoyzoS2FpGRkWhoaEBBQQEUCl49/9SCBQtQUFCA0tJS3kdmPvgwvDlJSUlBSUkJMjIyREcxKcePH0dmZiZSU1O5fMwMz4DMzAsvvICsrCycP3/eEq4FGjSdToepU6fCwcEBn3/+ueg4rH94BmRu3njjDbS1tSEpKUl0FJPw3nvvobCwEKmpqaKjsAHgGZAZSkxMREJCAsrLyy3xAsU+02g08PX1xRNPPIG33npLdBzWf3wtmDlqb2+Hv78/ZsyYgZ07d4qOI0xsbCzefvttnD9/Hu7u7qLjsP7jJZg5srW1RWJiIt5//32cPn1adBwhqqqqkJqairi4OC4fM8YzIDNFRIiIiIBKpcK///1v0XGM7sknn0RpaSmKi4shy7LoOGxgeAZkriRJQnJyMvLy8rBv3z7RcYwqPz8fe/fuxcaNG7l8zBzPgMxcdHQ0vv76a6s5AU+n02HKlCk9N2ZjZo1nQOZu/fr1qKurw9atW0VHMYp3330XRUVFSElJER2F6QHPgCxA99GgiooKuLm5iY5jMK2trRg/fjyeeuopbNq0SXQcNng8A7IEr776KmxsbJCQkCA6ikElJCSgvb0dq1atEh2F6QkXkAVwcHDA6tWrsXXrVpw/f150HIO4ePEiNm/ejDfeeMOiZ3nWhpdgFqKrqwvBwcEYO3asRR4Vmz9/PsrLy1FUVMRHviwHL8EshVKpRGpqKj799FMcOXJEdBy9ys3Nxb59+/iwuwXiGZCFmTNnDmpra1FQUKCXJ3WK1tXVhcmTJ2P06NHIysoSHYfpF8+ALE1ycjJKS0uxa9cu0VH0Yvv27Th37hw2bNggOgozAJ4BWaClS5di7969qKiogIODg+g4A3b9+nWMHz8e0dHR2Lhxo+g4TP94BmSJ4uPj0d7ebvazhvj4eHR0dOD1118XHYUZCBeQBfLw8EBsbCySkpJw+fJl0XEGpLKyEn//+9+xZs0auLq6io7DDISXYBaqo6MDEydORFhYmFnuD3r88cdRWVmJoqKiuz5ymZk1XoJZqiFDhuBvf/sbMjIy8PXXX4uO0y9Hjx5FVlYWUlJSuHwsHM+ALFxERAR0Oh2OHTvW6zPTTY2ln1DJbsMzIEuXnJyMr776Cp988onoKH2Snp6O8vJyrF+/XnQUZgQ8A7ICzzzzDE6cOIFvv/3WpO8Z1NLSAl9fX/zud7/jp35YB54BWYM333wT9fX1Jv/kiPj4eEiSxIfdrQgXkBUYOXIkXnzxRaxZswaNjY2i4/SqrKwMW7duxZo1a+Dk5CQ6DjMSXoJZie5naD355JPYvHmz6Dg/ExUVhStXrljMNWysT3gJZi3UajXi4+ORlpaG0tJS0XFuc+TIERw8eBBJSUlcPlaGZ0BWRKfTITQ0FCNGjMD+/ftFxwEAaLVaBAcHw9fXF3v27BEdhxkXz4CsiUKhQFJSErKyspCTkyM6DgD03MVx3bp1oqMwAXgGZIXmzp2LmpoaFBYWCl3ytLS0wMfHB88//zwXkHXiGZA12rBhA86dOyf8ufKrVq2CUqlEbGys0BxMHJ4BWak//elPyMzMREVFBRwdHY2+/XPnzmHSpElIS0vD4sWLjb59ZhIquICsVHNzM3x8fLB06VIhj/N57LHHUF9fj9OnT/ORL+vFSzBr5erqitjYWCQnJ+PSpUtG3faBAwdw6NAhpKamcvlYOZ4BWbGOjg4EBATgV7/6FTIyMoyyzc7OTgQGBiIoKAgfffSRUbbJTBbPgKzZkCFDsHbtWvzjH//A8ePHjbLNt956C9XV1Vi7dq1RtsdMG8+AzMTly5dRUlJikLFXrlyJUaNGYfny5QYZvxsRYenSpZg6dSoWLVqk9/GHDBmCWbNm6X1cZjC8E9pcpKenY8mSJaJjmDQXFxc0NzeLjsH6roLvd2lGXFxczPYm84b27rvvIj4+XnQM1k9cQGZGrVaLjmCSTPlGa+zOeCc0Y0wYLiDGmDBcQIwxYbiAGGPCcAExxoThAmKMCcMFxBgThguIMSYMFxBjTBguIMaYMFxAjDFhuIAYY8JwATHGhOECYowJwwXEGBOGC4gxJgwXEGNMGC4gxpgwXECMMWG4gBhjwnABMcaE4QJijAnDBcQYE4YLiDEmDBcQY0wYLiDGmDBcQIwxYbiAGGPCcAExxoThAmKMCcMFxBgThguIMSYMFxBjTBguIMaYMFxAjDFhuIAYY8JwATHGhOECYowJwwXEGBOGC4gxJgwXEGNMGC4gxpgwXECMMWG4gBhjwqhEB2B919nZiYMHD4qOYZJKS0tFR2ADwAVkRjQaDaKiokTHMFkuLi6iI7B+koiIRIdgv0yr1aK9vV10DJMmSRKGDh0qOgbruwouIMaYKBW8E5oxJgwXEGNMGBWAI6JDMMas0pX/AKl5evg2EAFoAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dask.visualize(dsk)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## A configurable MONGO_PIPELINE\n",
    "\n",
    "Let's express what we want in a the declarative form we expect:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This is all the already loaded domains in our databse\n",
    "loaded_domains = [COLLECTION_NAME]\n",
    "\n",
    "# This the list of new domains we want to create:\n",
    "MONGO_PIPELINE = [\n",
    "    {\n",
    "        'output_domain': 'purple',\n",
    "        'query': [\n",
    "            { '$match': { 'domain': COLLECTION_NAME, 'color': 'purple', 'number': { '$lte': 50 } } },\n",
    "        ]\n",
    "    },\n",
    "    {\n",
    "        'output_domain': 'orange',\n",
    "        'query': [\n",
    "            { '$match' : { 'domain': COLLECTION_NAME, 'color' : 'orange', 'number' : { '$gt' : 50} } },\n",
    "        ]\n",
    "    },\n",
    "    {\n",
    "        'output_domain': 'result',\n",
    "        'query': [\n",
    "            {\n",
    "            '$match' : { 'domain': 'purple', 'color' : 'purple' }\n",
    "            },\n",
    "            *append_col_stages('orange')\n",
    "            ,\n",
    "        ]\n",
    "    },\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To be able to recreate the `dsk` we need to:\n",
    "- extract the input collections for each query\n",
    "- add the `$out` stage for each query"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Extracting input_domains\n",
    "\n",
    "We already have a nice function to do this, thanks to the work on permissions: https://github.com/ToucanToco/laputa/blob/master/laputa/common/utils/query_utils.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# From laputa.common.utils.query_utils\n",
    "from typing import List\n",
    "\n",
    "def get_query_domain(query, domains=None):\n",
    "    if domains is None:\n",
    "        domains = []\n",
    "    if isinstance(query, dict):\n",
    "        for k, v in query.items():\n",
    "            if k == 'domain':\n",
    "                domains.append(v)\n",
    "            elif k == '$match' and isinstance(v, dict) or isinstance(v, list):\n",
    "                get_query_domain(v, domains)\n",
    "    elif isinstance(query, list):\n",
    "        for x in query:\n",
    "            if isinstance(x, (list, dict)):\n",
    "                get_query_domain(x, domains)\n",
    "    res = set(domains)\n",
    "    if len(res) == 1:\n",
    "        return res.pop()\n",
    "    else:\n",
    "        raise InvalidDomain(f'Found more than one domain (or none) for query {query}: {res}')\n",
    "\n",
    "        \n",
    "class InvalidDomain(Exception):\n",
    "    \"\"\" Raised when there is not exactly one domain in the query\"\"\"\n",
    "\n",
    "    \n",
    "def get_lookup_domain(lookup):\n",
    "    \"\"\"Extract the from value from a $lookup\"\"\"\n",
    "    if isinstance(lookup, dict) and 'from' in lookup:\n",
    "        return lookup['from']\n",
    "\n",
    "        \n",
    "def get_query_lookup_operators(query_operators: List[dict]) -> List[dict]:\n",
    "    \"\"\" Returns the $lookups having a from and a pipeline childs \"\"\"\n",
    "    operators: List[dict] = []\n",
    "\n",
    "    def crawl_operators(query_operators: List[dict], operators: List[dict], level: int):\n",
    "        if not isinstance(query_operators, list):\n",
    "            return\n",
    "        for query_operator in query_operators:\n",
    "            for k, v in query_operator.items():\n",
    "                if k == '$lookup' and ('from' and 'pipeline') in v:\n",
    "                    operators.append({k: v})\n",
    "                    crawl_operators(v['pipeline'], operators, level + 1)\n",
    "\n",
    "    crawl_operators(query_operators, operators, 0)\n",
    "    return operators\n",
    "\n",
    "\n",
    "def get_query_lookup_domains(query):\n",
    "    \"\"\"Iterate over each $match and $lookup.\"\"\"\n",
    "    domains = []\n",
    "    operators = get_query_lookup_operators(query)\n",
    "\n",
    "    for operator in operators:\n",
    "        if '$lookup' in operator:\n",
    "            domains.append(get_lookup_domain(operator['$lookup']))\n",
    "\n",
    "    return [domain for domain in domains if domain]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['test_data'], ['test_data'], ['purple', 'orange']]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def extract_input_domains(query):\n",
    "    return [get_query_domain(query), *get_query_lookup_domains(query)]\n",
    "\n",
    "[extract_input_domains(x['query']) for x in MONGO_PIPELINE]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Adding `$out` stage "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[{'$match': {'color': 'purple', 'number': {'$lte': 50}}}, {'$out': 'purple'}],\n",
       " [{'$match': {'color': 'orange', 'number': {'$gt': 50}}}, {'$out': 'orange'}],\n",
       " [{'$match': {'color': 'purple'}},\n",
       "  {'$group': {'_id': None, '_vqbPipelineInline': {'$push': '$$ROOT'}}},\n",
       "  {'$lookup': {'from': 'orange',\n",
       "    'pipeline': [{'$match': {}}, {'$project': {'_id': 0}}],\n",
       "    'as': '_vqbPipelineToAppend_0'}},\n",
       "  {'$project': {'_vqbPipelinesUnion': {'$concatArrays': ['$_vqbPipelineInline',\n",
       "      '$_vqbPipelineToAppend_0']}}},\n",
       "  {'$unwind': '$_vqbPipelinesUnion'},\n",
       "  {'$replaceRoot': {'newRoot': '$_vqbPipelinesUnion'}},\n",
       "  {'$out': 'result'}]]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import copy\n",
    "\n",
    "def query_with_out_stage(mongo_pipe):\n",
    "    query = copy.deepcopy(mongo_pipe['query'])\n",
    "    \n",
    "    # Also remove the domain here, it's a field that only exist in laputa:\n",
    "    del query[0]['$match']['domain']\n",
    "    \n",
    "    query.append(\n",
    "        {'$out': mongo_pipe['output_domain']}\n",
    "    )\n",
    "    return query\n",
    "\n",
    "[query_with_out_stage(x) for x in MONGO_PIPELINE]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Construction of the dask functions from queries \n",
    "\n",
    "The `dsk` needs functions to execute. Let's create a factory to create functions that will execute the aggregation:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_aggregation_executor(agg_query, output_domain):\n",
    "    \n",
    "    def execute_aggregation(*input_domains):\n",
    "        print('INPUT', input_domains[0])\n",
    "        print('COUNT', db[input_domains[0]].count_documents({}))\n",
    "        print('EXECUTE', agg_query)\n",
    "        print('OUTPUT', output_domain)\n",
    "        db[input_domains[0]].aggregate(agg_query)\n",
    "        print('RESULTS', db[output_domain].count_documents({}))\n",
    "        return output_domain\n",
    "    \n",
    "    return execute_aggregation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Constructing the dsk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "aggregation_steps = [\n",
    "    {\n",
    "        'output_domain': x['output_domain'],\n",
    "        'input_domains': extract_input_domains(x['query']),\n",
    "        'executor': create_aggregation_executor(query_with_out_stage(x), x['output_domain']),\n",
    "    } for x in MONGO_PIPELINE\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'col:test_data': 'test_data',\n",
       " 'col:purple': (<function __main__.create_aggregation_executor.<locals>.execute_aggregation(*input_domains)>,\n",
       "  'col:test_data'),\n",
       " 'col:orange': (<function __main__.create_aggregation_executor.<locals>.execute_aggregation(*input_domains)>,\n",
       "  'col:test_data'),\n",
       " 'col:result': (<function __main__.create_aggregation_executor.<locals>.execute_aggregation(*input_domains)>,\n",
       "  'col:purple',\n",
       "  'col:orange')}"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "collection identifier in dask and the actual collection name should differ, otherwise we'll have\n",
    "`{'col': 'col'}` in the dsk, which mean a loop!\n",
    "\"\"\"\n",
    "def id_col(col):\n",
    "    return 'col:' + col\n",
    "\n",
    "dsk = {\n",
    "    # First let's add all of input_domains (we have only one here)\n",
    "    id_col(COLLECTION_NAME): COLLECTION_NAME, \n",
    "    \n",
    "    # Then our aggregations steps\n",
    "    **{\n",
    "        id_col(x['output_domain']): (x['executor'], *map(id_col, x['input_domains'])) for x in aggregation_steps\n",
    "    }\n",
    "}\n",
    "dsk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dask.visualize(dsk)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INPUT test_data\n",
      "COUNT 1001\n",
      "EXECUTE [{'$match': {'color': 'orange', 'number': {'$gt': 50}}}, {'$out': 'orange'}]\n",
      "OUTPUT orange\n",
      "RESULTS 97\n",
      "INPUT test_data\n",
      "COUNT 1001\n",
      "EXECUTE [{'$match': {'color': 'purple', 'number': {'$lte': 50}}}, {'$out': 'purple'}]\n",
      "OUTPUT purple\n",
      "RESULTS 116\n",
      "INPUT purple\n",
      "COUNT 116\n",
      "EXECUTE [{'$match': {'color': 'purple'}}, {'$group': {'_id': None, '_vqbPipelineInline': {'$push': '$$ROOT'}}}, {'$lookup': {'from': 'orange', 'pipeline': [{'$match': {}}, {'$project': {'_id': 0}}], 'as': '_vqbPipelineToAppend_0'}}, {'$project': {'_vqbPipelinesUnion': {'$concatArrays': ['$_vqbPipelineInline', '$_vqbPipelineToAppend_0']}}}, {'$unwind': '$_vqbPipelinesUnion'}, {'$replaceRoot': {'newRoot': '$_vqbPipelinesUnion'}}, {'$out': 'result'}]\n",
      "OUTPUT result\n",
      "RESULTS 213\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "('result',)"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dask.get(dsk, [id_col('result')])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'_id': ObjectId('5ebacf43c5719bc19b603cdd'),\n",
       "  'color': 'purple',\n",
       "  'number': 27,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603ce1'),\n",
       "  'color': 'purple',\n",
       "  'number': 0,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603cea'),\n",
       "  'color': 'purple',\n",
       "  'number': 16,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603cf1'),\n",
       "  'color': 'purple',\n",
       "  'number': 16,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603cfd'),\n",
       "  'color': 'purple',\n",
       "  'number': 44,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603d00'),\n",
       "  'color': 'purple',\n",
       "  'number': 48,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603d02'),\n",
       "  'color': 'purple',\n",
       "  'number': 43,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603d10'),\n",
       "  'color': 'purple',\n",
       "  'number': 8,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603d17'),\n",
       "  'color': 'purple',\n",
       "  'number': 6,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603d1b'),\n",
       "  'color': 'purple',\n",
       "  'number': 40,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603d1c'),\n",
       "  'color': 'purple',\n",
       "  'number': 42,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603d22'),\n",
       "  'color': 'purple',\n",
       "  'number': 17,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603d2b'),\n",
       "  'color': 'purple',\n",
       "  'number': 14,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603d2c'),\n",
       "  'color': 'purple',\n",
       "  'number': 5,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603d31'),\n",
       "  'color': 'purple',\n",
       "  'number': 37,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603d32'),\n",
       "  'color': 'purple',\n",
       "  'number': 29,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603d36'),\n",
       "  'color': 'purple',\n",
       "  'number': 29,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603d37'),\n",
       "  'color': 'purple',\n",
       "  'number': 20,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603d3f'),\n",
       "  'color': 'purple',\n",
       "  'number': 50,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603d4d'),\n",
       "  'color': 'purple',\n",
       "  'number': 26,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603d51'),\n",
       "  'color': 'purple',\n",
       "  'number': 39,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603d54'),\n",
       "  'color': 'purple',\n",
       "  'number': 42,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603d63'),\n",
       "  'color': 'purple',\n",
       "  'number': 6,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603d67'),\n",
       "  'color': 'purple',\n",
       "  'number': 20,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603d7f'),\n",
       "  'color': 'purple',\n",
       "  'number': 19,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603d85'),\n",
       "  'color': 'purple',\n",
       "  'number': 50,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603d8e'),\n",
       "  'color': 'purple',\n",
       "  'number': 14,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603d93'),\n",
       "  'color': 'purple',\n",
       "  'number': 2,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603da3'),\n",
       "  'color': 'purple',\n",
       "  'number': 24,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603da7'),\n",
       "  'color': 'purple',\n",
       "  'number': 9,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603da8'),\n",
       "  'color': 'purple',\n",
       "  'number': 38,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603db7'),\n",
       "  'color': 'purple',\n",
       "  'number': 37,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603dc3'),\n",
       "  'color': 'purple',\n",
       "  'number': 42,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603dc7'),\n",
       "  'color': 'purple',\n",
       "  'number': 22,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603dd2'),\n",
       "  'color': 'purple',\n",
       "  'number': 11,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603de3'),\n",
       "  'color': 'purple',\n",
       "  'number': 34,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603def'),\n",
       "  'color': 'purple',\n",
       "  'number': 50,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603df9'),\n",
       "  'color': 'purple',\n",
       "  'number': 17,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603dfe'),\n",
       "  'color': 'purple',\n",
       "  'number': 9,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603e02'),\n",
       "  'color': 'purple',\n",
       "  'number': 47,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603e05'),\n",
       "  'color': 'purple',\n",
       "  'number': 15,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603e1c'),\n",
       "  'color': 'purple',\n",
       "  'number': 41,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603e1d'),\n",
       "  'color': 'purple',\n",
       "  'number': 26,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603e29'),\n",
       "  'color': 'purple',\n",
       "  'number': 16,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603e31'),\n",
       "  'color': 'purple',\n",
       "  'number': 43,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603e41'),\n",
       "  'color': 'purple',\n",
       "  'number': 11,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603e46'),\n",
       "  'color': 'purple',\n",
       "  'number': 50,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603e58'),\n",
       "  'color': 'purple',\n",
       "  'number': 43,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603e61'),\n",
       "  'color': 'purple',\n",
       "  'number': 49,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603e62'),\n",
       "  'color': 'purple',\n",
       "  'number': 22,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603e71'),\n",
       "  'color': 'purple',\n",
       "  'number': 23,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603e7e'),\n",
       "  'color': 'purple',\n",
       "  'number': 38,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603e83'),\n",
       "  'color': 'purple',\n",
       "  'number': 24,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603e90'),\n",
       "  'color': 'purple',\n",
       "  'number': 44,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603e96'),\n",
       "  'color': 'purple',\n",
       "  'number': 24,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603ea0'),\n",
       "  'color': 'purple',\n",
       "  'number': 14,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603ea7'),\n",
       "  'color': 'purple',\n",
       "  'number': 16,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603eaa'),\n",
       "  'color': 'purple',\n",
       "  'number': 39,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603eaf'),\n",
       "  'color': 'purple',\n",
       "  'number': 8,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603eb4'),\n",
       "  'color': 'purple',\n",
       "  'number': 4,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603ed7'),\n",
       "  'color': 'purple',\n",
       "  'number': 25,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603ed8'),\n",
       "  'color': 'purple',\n",
       "  'number': 2,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603edb'),\n",
       "  'color': 'purple',\n",
       "  'number': 33,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603ee5'),\n",
       "  'color': 'purple',\n",
       "  'number': 29,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603ef3'),\n",
       "  'color': 'purple',\n",
       "  'number': 46,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603ef9'),\n",
       "  'color': 'purple',\n",
       "  'number': 15,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603efd'),\n",
       "  'color': 'purple',\n",
       "  'number': 11,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603efe'),\n",
       "  'color': 'purple',\n",
       "  'number': 38,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603f07'),\n",
       "  'color': 'purple',\n",
       "  'number': 33,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603f16'),\n",
       "  'color': 'purple',\n",
       "  'number': 9,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603f18'),\n",
       "  'color': 'purple',\n",
       "  'number': 10,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603f2d'),\n",
       "  'color': 'purple',\n",
       "  'number': 43,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603f4b'),\n",
       "  'color': 'purple',\n",
       "  'number': 49,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603f4f'),\n",
       "  'color': 'purple',\n",
       "  'number': 24,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603f50'),\n",
       "  'color': 'purple',\n",
       "  'number': 5,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603f53'),\n",
       "  'color': 'purple',\n",
       "  'number': 14,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603f6b'),\n",
       "  'color': 'purple',\n",
       "  'number': 39,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603f6d'),\n",
       "  'color': 'purple',\n",
       "  'number': 20,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603f6e'),\n",
       "  'color': 'purple',\n",
       "  'number': 44,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603f70'),\n",
       "  'color': 'purple',\n",
       "  'number': 6,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603f76'),\n",
       "  'color': 'purple',\n",
       "  'number': 40,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603f7c'),\n",
       "  'color': 'purple',\n",
       "  'number': 5,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603f84'),\n",
       "  'color': 'purple',\n",
       "  'number': 1,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603faa'),\n",
       "  'color': 'purple',\n",
       "  'number': 3,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603fae'),\n",
       "  'color': 'purple',\n",
       "  'number': 23,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603fb3'),\n",
       "  'color': 'purple',\n",
       "  'number': 30,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603fb5'),\n",
       "  'color': 'purple',\n",
       "  'number': 14,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603fbb'),\n",
       "  'color': 'purple',\n",
       "  'number': 13,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603fbf'),\n",
       "  'color': 'purple',\n",
       "  'number': 43,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603fd5'),\n",
       "  'color': 'purple',\n",
       "  'number': 7,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603fd7'),\n",
       "  'color': 'purple',\n",
       "  'number': 4,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b603ff4'),\n",
       "  'color': 'purple',\n",
       "  'number': 7,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b604001'),\n",
       "  'color': 'purple',\n",
       "  'number': 13,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b604008'),\n",
       "  'color': 'purple',\n",
       "  'number': 10,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b604009'),\n",
       "  'color': 'purple',\n",
       "  'number': 47,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b60400c'),\n",
       "  'color': 'purple',\n",
       "  'number': 34,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b604012'),\n",
       "  'color': 'purple',\n",
       "  'number': 30,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b604014'),\n",
       "  'color': 'purple',\n",
       "  'number': 26,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b604023'),\n",
       "  'color': 'purple',\n",
       "  'number': 9,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b604024'),\n",
       "  'color': 'purple',\n",
       "  'number': 6,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b60402a'),\n",
       "  'color': 'purple',\n",
       "  'number': 23,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b604034'),\n",
       "  'color': 'purple',\n",
       "  'number': 34,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b60404c'),\n",
       "  'color': 'purple',\n",
       "  'number': 30,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b60406d'),\n",
       "  'color': 'purple',\n",
       "  'number': 47,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b604071'),\n",
       "  'color': 'purple',\n",
       "  'number': 39,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b604075'),\n",
       "  'color': 'purple',\n",
       "  'number': 10,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b604084'),\n",
       "  'color': 'purple',\n",
       "  'number': 33,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b604088'),\n",
       "  'color': 'purple',\n",
       "  'number': 21,\n",
       "  'random': 'RIFIFI'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b60408a'),\n",
       "  'color': 'purple',\n",
       "  'number': 4,\n",
       "  'random': 'PUPPIES'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b604097'),\n",
       "  'color': 'purple',\n",
       "  'number': 19,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b604099'),\n",
       "  'color': 'purple',\n",
       "  'number': 46,\n",
       "  'random': 'RATATOUILLE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b60409c'),\n",
       "  'color': 'purple',\n",
       "  'number': 13,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b6040a5'),\n",
       "  'color': 'purple',\n",
       "  'number': 9,\n",
       "  'random': 'HYPERDRIVE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b6040ae'),\n",
       "  'color': 'purple',\n",
       "  'number': 30,\n",
       "  'random': 'CHOCOLATE'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b6040b1'),\n",
       "  'color': 'purple',\n",
       "  'number': 41,\n",
       "  'random': 'SONATA'},\n",
       " {'_id': ObjectId('5ebacf43c5719bc19b6040b6'),\n",
       "  'color': 'purple',\n",
       "  'number': 41,\n",
       "  'random': 'RIFIFI'}]"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(db.purple.find({}))"
   ]
  }
 ],
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