1-Portal-Isolated-Storage.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/akif/Desktop/script/venv/lib/python3.9/site-packages/urllib3/__init__.py:34: NotOpenSSLWarning: urllib3 v2.0 only supports OpenSSL 1.1.1+, currently the 'ssl' module is compiled with 'LibreSSL 2.8.3'. See: https://github.com/urllib3/urllib3/issues/3020\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "# IGNORE THIS :3\n",
    "import os\n",
    "from geode import Geode\n",
    "G = Geode(exec_api = os.environ['EXECUTION_API'], cons_key = os.environ['CONSENSUS_KEY'])\n",
    "Portal = G.Portal\n",
    "# IGNORE THIS :3"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": "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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Datastore\n",
    "\n",
    "DataStore is designed to host multiple parties with different TYPEs without them affecting each other's storage space under any condition.\n",
    "\n",
    "This is achieved by utilizing ID and key pairs within the storage.\n",
    "\n",
    "DataStore can only store 3 types of variables: UINT256, Address, Bytes. \n",
    "\n",
    "Worth noting, DataStore not only can store these types, but can also store Arrays of these types and relational data between different IDs by generating a new key for the unqiue combinations.\n",
    "\n",
    "![image.png](attachment:image.png)\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Pro Tip: If you would like to get the length of an Array from Portal's DataStore, just call `Portal.readUint(id,array_key) `."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## ID and TYPE"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### How `ID` is generated?\n",
    "> keccak(NAME, TYPE) for a pool. NAME is chosen by the pool owner."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Portal will create 'Ice Bear's Public Pool' with the ID of 34810788230056357039548130793632857997510437439560367933584775566082316064998\n",
      "Ofchain 'generateId' function returns 34810788230056357039548130793632857997510437439560367933584775566082316064998.\n"
     ]
    }
   ],
   "source": [
    "from geode.globals import ID_TYPE\n",
    "from geode.utils import generateId\n",
    "\n",
    "name = \"Ice Bear's Public Pool\"\n",
    "oncId = Portal.functions.generateId(name, ID_TYPE.POOL).call()\n",
    "ofcId = generateId(name, ID_TYPE.POOL) # suggested for use, because faster\n",
    "\n",
    "print(f\"Portal will create '{name}' with the ID of {oncId}\")\n",
    "print(f\"Ofchain 'generateId' function returns {ofcId}.\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What is 'TYPE'?\n",
    "\n",
    "> Every ID has a TYPE.\n",
    ">\n",
    "> A Pool's TYPE is Pool(5). \n",
    "> \n",
    "> When a Pool is created, its ID is generated based on its TYPE.\n",
    ">\n",
    "> Contract's TYPE is PACKAGE_PORTAL(10001). \n",
    "> \n",
    "> When a new upgrade for Portal is proposed by the Governance, the proposal will have TYPE defined as 10001. When it is approved, portal will upgrade itself."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get All IDs from a TYPE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 26 pools and 15 operators. The seconds Pool' id is 81560630616877542516430504767934674568390741163160307132946078760142301602493 and the first operator is 114391297015478800753082638170652680401082080549997516459063441314156612391510.\n"
     ]
    }
   ],
   "source": [
    "from geode.globals import ID_TYPE\n",
    "\n",
    "# Getting All IDs of a TYPE\n",
    "pLen=Portal.functions.allIdsByTypeLength(ID_TYPE.POOL).call()\n",
    "oLen=Portal.functions.allIdsByTypeLength(ID_TYPE.OPERATOR).call()\n",
    "\n",
    "pid = Portal.functions.allIdsByType(ID_TYPE.POOL, 1).call()\n",
    "oid = Portal.functions.allIdsByType(ID_TYPE.OPERATOR, 0).call()\n",
    "\n",
    "print(f\"There are {pLen} pools and {oLen} operators. The seconds Pool' id is {pid} and the first operator is {oid}.\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ready for a deep dive?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(\"Ice Bear's Private Pool\",\n",
       " <ID_TYPE.POOL: 5>,\n",
       " '0x2C95BC18Fd9382a07776D416EeF6c2FEb3AD2A8C')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from geode.utils import toBytes32, toString \n",
    "# readBytes readBytesArray etc requires a bytes32 key\n",
    "\n",
    "t=Portal.functions.readUint(pid, toBytes32(\"TYPE\")).call()\n",
    "c=Portal.functions.readAddress(pid, toBytes32(\"CONTROLLER\")).call()\n",
    "n=Portal.functions.readBytes(pid, toBytes32(\"NAME\")).call()\n",
    "toString(n), ID_TYPE(t) , c"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Reading Arrays"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0xfB14d9dCC168Ba2374cd9c0bA4601AA76162F845'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Portal.functions.readUint(pid, toBytes32(\"middlewares\")).call() # gives length\n",
    "Portal.functions.readAddressArray(pid, toBytes32(\"middlewares\"),index=0).call() # gives data from array with index"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Relational Data!\n",
    "\n",
    "Sometimes it is useful to get some uninterpereted data.\n",
    "\n",
    "We can also read relational data between two IDs. To achieve this, we will create a unique key for <ID, key> pair. check the getKey function below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "999999"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from geode.utils import getKey # readBytes readBytesArray etc requires a bytes32 key\n",
    "\n",
    "# Portal.allowance function returns the remaining seats for validator creation. \n",
    "# But, this can be limited by the monopoly threshold etc.\n",
    "# You can still get the pure allowance tho:\n",
    " \n",
    "operator_allowance_key = getKey(id=oid, key=\"allowance\") # reusable for any pool! :)\n",
    "Portal.functions.readUint(pid, operator_allowance_key).call()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.6 (default, Oct 18 2022, 12:41:40) \n[Clang 14.0.0 (clang-1400.0.29.202)]"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "b1b6c5072c5a50f6d2400b07d553322444e3342f0da0ae61087b066e28ec204a"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}