TrueRandom.ipynb

BitcoinHashRandom.ipynb

bitcoinhashrandom.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/Seele0oO/4eba6f1f6c30914964d65425979016e7/bitcoinhashrandom.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GsyCzIBra6ks"
      },
      "source": [
        "！pip install requests\n",
        "# 使用方法\n",
        "### 自行选定开奖时间并在到达时间时运行此程序\n",
        "### 填写参与抽奖的用户名\n",
        "### 然后点击runAll，到最下面查看结果"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "P5Thkc3lXQ73"
      },
      "outputs": [],
      "source": [
        "userlist=[\"a\",\"b\",\"c\"]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "c2AC3g0nZAgD"
      },
      "outputs": [],
      "source": [
        "import os,time\n",
        "\n",
        "os.environ['TZ'] = 'Asia/Shanghai'\n",
        "time.tzset() "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ar1710VDPt8O"
      },
      "source": [
        "获取最新的block"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "7BJNkq0MPrLn"
      },
      "outputs": [],
      "source": [
        "def getHashs():\n",
        "    import time,requests\n",
        "    url = \"https://blockexplorer.one/ajax/btc/mainnet/blocks\"\n",
        "    result = requests.get(url)\n",
        "    data=result.json()\n",
        "    print(data[0])\n",
        "    get_hash=data[0]['hash']\n",
        "    get_time=data[0]['timestamp']\n",
        "    ctime=int(int(time.time()))\n",
        "    # print(get_hash)\n",
        "    # print(get_time)\n",
        "    hash=\"0X{}\".format(get_hash)\n",
        "    # hex to dex\n",
        "    hash=int(hash,16)\n",
        "    get_hash=hash\n",
        "    # print(get_hash)\n",
        "    return get_hash,get_time"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "R27c-CJSSmI9",
        "outputId": "f764920f-d24d-4533-fb1c-719bc4cc2906"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{'hash': '000000000000000000022272753f2056d5de2309dcfc0c7add4eb4e71d9dd70d', 'size': '1,500,350', 'height': 721866, 'datetime': '2022-02-05 05:08:28 UTC', 'time': 1644037708, 'mediantime': '2022-02-05 04:21:21 UTC', 'nonce': 611214714, 'bits': '170a8bb4', 'difficulty': 26690525287405.5, 'previousblockhash': '0000000000000000000a5bb1a6e7f8083393412c663c74d5e1a6964a6de90878', 'transactions': 2368, 'confirmations': 1, 'timestamp': 1644037708, 'omniTransactions': 4, 'reward': 6.25, 'rewardUsd': '259,642.47', 'humanDiff': '3 minutes ago', 'dateString': '05/02/2022 - 05:08:28 UTC'}\n",
            "204450133405904284836502263606628101135365038262834957\n",
            "1644037708\n"
          ]
        }
      ],
      "source": [
        "get_hash,get_time=getHashs()\n",
        "print(get_hash)\n",
        "print(get_time)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tQg88J9xXKtu",
        "outputId": "71f5be35-b893-438a-ad7d-90f4e6cd9553"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "当前hash(dex)： 204450133405904284836502263606628101135365038262834957\n",
            "hashTime: 2022-02-05 13:08:28\n",
            "Time: 2022-02-05 13:11:53\n",
            "The luckly user is: c\n"
          ]
        }
      ],
      "source": [
        "import time\n",
        "hash=get_hash\n",
        "print(\"当前hash(dex)：\",hash)\n",
        "userSum = len(userlist)\n",
        "n=hash%userSum\n",
        "print(\"hashTime:\",time.strftime(\"%Y-%m-%d %H:%M:%S\",time.localtime(get_time)))\n",
        "print(\"Time: {}\".format( time.strftime(\"%Y-%m-%d %H:%M:%S\", time.localtime()) )+\"\\n\"+\"The luckly user is: \"+userlist[n])"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "name": "TrueRandom.ipynb",
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "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": "3.10.1"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}