{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "eca38ae3-3df1-40f9-9a4b-ddc539559aba",
   "metadata": {},
   "outputs": [],
   "source": [
    "from dataclasses import dataclass\n",
    "\n",
    "@dataclass\n",
    "class ServiceNetwork:\n",
    "    total_nmo_stake: int = 0\n",
    "    total_lp_supply: int = 0\n",
    "    \n",
    "    def stake(self, nmo):\n",
    "        if self.total_nmo_stake == 0:\n",
    "            # this is the only staker in the network\n",
    "            self.total_nmo_stake = nmo\n",
    "            self.total_lp_supply = 1.0\n",
    "            return self.total_lp_supply\n",
    "        \n",
    "        lp_tokens = nmo / self.total_nmo_stake * self.total_lp_supply\n",
    "        self.total_nmo_stake += nmo\n",
    "        self.total_lp_supply += lp_tokens\n",
    "        return lp_tokens\n",
    "\n",
    "    def unstake(self, lp_tokens):\n",
    "        nmo = self.query_stake(lp_tokens)\n",
    "        self.total_nmo_stake -= nmo\n",
    "        self.total_lp_supply -= lp_tokens\n",
    "        return nmo\n",
    "\n",
    "    def query_stake(self, lp_tokens):\n",
    "        nmo = lp_tokens / self.total_lp_supply * self.total_nmo_stake    \n",
    "        return nmo\n",
    "    \n",
    "    def reward(self, r_nmo):\n",
    "        self.total_nmo_stake += r_nmo\n",
    "\n",
    "def print_lp_positions(sn, lpers):\n",
    "    print(f\"{\"actor\":^7}|{\"lp\":^5}|{\"nmo\":^7}\")\n",
    "    print(\"-------+-----+-------\")\n",
    "    for actor, lp in lpers.items():\n",
    "        print(f\"{actor:7}|{lp:5.2f}|{sn.query_stake(lp):7.2f}\")\n",
    "\n",
    "    print(\"-------+-----+-------\")\n",
    "    print(\"{actor:7}|{lp:5.2f}|{nmo:7.2f}\".format(actor=\"total\", lp=sum(lpers.values()), nmo=sum(sn.query_stake(lp) for lp in lpers.values())))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "0b58cd02-3427-4388-992b-8347cb2a601a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " actor | lp  |  nmo  \n",
      "-------+-----+-------\n",
      "alice  | 1.00|  10.00\n",
      "bob    | 1.00|  10.00\n",
      "charlie| 3.00|  30.00\n",
      "-------+-----+-------\n",
      "total  | 5.00|  50.00\n",
      "\n",
      "network is rewarded by 5 NMO\n",
      "\n",
      " actor | lp  |  nmo  \n",
      "-------+-----+-------\n",
      "alice  | 1.00|  11.00\n",
      "bob    | 1.00|  11.00\n",
      "charlie| 3.00|  33.00\n",
      "-------+-----+-------\n",
      "total  | 5.00|  55.00\n",
      "\n",
      "new stakers after network rewards get fewer LP tokens\n",
      "\n",
      " actor | lp  |  nmo  \n",
      "-------+-----+-------\n",
      "alice  | 1.00|  11.00\n",
      "bob    | 1.00|  11.00\n",
      "charlie| 3.00|  33.00\n",
      "dan    | 0.91|  10.00\n",
      "-------+-----+-------\n",
      "total  | 5.91|  65.00\n"
     ]
    }
   ],
   "source": [
    "sn = ServiceNetwork()\n",
    "\n",
    "stakers = {\"alice\": 10, \"bob\": 10, \"charlie\": 30}\n",
    "\n",
    "lpers = {actor: sn.stake(nmo) for actor, nmo in stakers.items()}\n",
    "\n",
    "print_lp_positions(sn, lpers)\n",
    "\n",
    "print(\"\")\n",
    "print(\"network is rewarded by 5 NMO\")\n",
    "sn.reward(5)\n",
    "print(\"\")\n",
    "\n",
    "print_lp_positions(sn, lpers)\n",
    "\n",
    "print(\"\")\n",
    "print(\"new stakers after network rewards get fewer LP tokens\")\n",
    "print(\"\")\n",
    "stakers[\"dan\"] = 10\n",
    "lpers[\"dan\"] = sn.stake(stakers[\"dan\"])\n",
    "print_lp_positions(sn, lpers)\n"
   ]
  }
 ],
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