atomic_tips_3.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pytezos import pytezos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "secret = b'\\xbf\\xbb\\xb1o\\xdd\\x0f\\x82,\\x82\\xe4\\x90\\xe1\\x04\\xc2d\\x1b\\x7f\\x96|j\\x87\\x05\\xba=\\xbf\\x15.\\x9d7G\\x13\\x17'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "ci = pytezos.contract('KT1WhouvVKZFH94VXj9pa8v4szvfrBwXoBUj')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<pytezos.michelson.contract.ContractParameter object at 0x7fb061a03f98>\n",
       "\n",
       "$parameter:\n",
       "\t{ \"ll\": $ll } || \n",
       "\t{ \"lr\": $bytes  /* hashed_secret */ } || \n",
       "\t{ \"rl\": $bytes  /* secret */ } || \n",
       "\t{ \"rr\": $bytes  /* hashed_secret */ }\n",
       "\n",
       "$ll:\n",
       "\t{\n",
       "\t  \"participant\": $address,\n",
       "\t  \"settings\": $settings\n",
       "\t}\n",
       "\n",
       "$settings:\n",
       "\t{\n",
       "\t  \"hashed_secret\": $bytes,\n",
       "\t  \"refund_time\": $timestamp,\n",
       "\t  \"payoff\": $mutez\n",
       "\t}\n",
       "\n",
       "$timestamp:\n",
       "\tint  /* Unix time in seconds */ ||\n",
       "\tstring  /* Formatted datetime `%Y-%m-%dT%H:%M:%SZ` */\n",
       "\n",
       "$bytes:\n",
       "\tstring  /* Hex string */ ||\n",
       "\tbytes  /* Python byte string */\n",
       "\n",
       "$address:\n",
       "\tstring  /* Base58 encoded `tz` or `KT` address */\n",
       "\n",
       "$mutez:\n",
       "\tint  /* Amount in `utz` (10^-6) */ ||\n",
       "\tDecimal  /* Amount in `tz` */\n",
       "\n",
       "\n",
       "Helpers\n",
       ".decode()\n",
       ".encode()\n",
       ".entries()"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ci.contract.parameter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "redeem = ci.using(key='~/Downloads/tz1cnQZXoznhduu4MVWfJF6GSyP6mMHMbbWa.json').rl(secret)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'12f64fbad3843c5803aab31f8030304e4ba7688e5b56d39dc6abe8bb3a25254e': None}"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "redeem.result().big_map_diff"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'oomeWo4umG8PCdjckVkKvFHc8ByBo3aA2FeQSsNdP43dyygNpYm'"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "redeem.inject()"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
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   "file_extension": ".py",
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