使用NodeJs将Json文件转换为Markdown

Question

我有个问题。我有一个JSON文件，我需要使用NodeJs将此文件转换为Markdown格式以及我如何实现这一目标？

第一个块标题第二个块代码。

我只需要code块：

{
    "code": "## Chapter 21 - Dichotomous Predicted Variable",
    "language": "Markdown",
    "index": 0,
    "output": {
        "image/png": "aaaaaaa",
        "text/plain": [
            "<IPython.core.display.Image object>"
        ]
    },
    "created": "2018-8-28 12:03:33",
    "evaluated": true,
    "hiddenCode": false
},
{
    "code": "- [21.1 - Multiple Metric Predictors](#21.1---Multiple-Metric-Predictors)\n- [21.3 - Robust Logistic Regression](#21.3---Robust-Logistic-Regression)\n- [21.4 - Nominal Predictors](#21.4---Nominal-Predictors)",
    "language": "Python",
    "index": 0,
    "output": {
        "image/png": "bbbbb",
        "text/plain": [
            "<IPython.core.display.Image object>"
        ]
    },
    "created": "2018-8-28 12:03:33",
    "evaluated": true,
    "hiddenCode": false
},

我想说我会用纯文本打印所有这些，最后我会得到.md输出。我会把它弄清楚它会是这样的;

if language == Markdown

[21.1 - Multiple Metric Predictors](#21.1---Multiple-Metric-Predictors)\n- [21.3 - Robust Logistic Regression](#21.3---Robust-Logistic-Regression)\n- [21.4 - Nominal Predictors](#21.4---Nominal-Predictors)",


if language === Python

%load std_ipython_import.txt
\nimport pandas as pd\n
import numpy as np\n
import matplotlib.pyplot as plt\n
import seaborn as sns\n
import pymc3 as pm\n
import theano.tensor as tt\n
\nfrom scipy.stats import beta\n
from scipy.special import expit\n
from matplotlib import gridspec\n
from IPython.display import Image\n\n
%matplotlib inline\nplt.style.use('seaborn-white')\n\ncolor = '#87ceeb'\n\nf_dict = {'size':16}",

Answer 1

你需要一些库来进行转换。例如showdown（http://showdownjs.com）。然后它很简单，只需通过数组map并转换你需要的。

// index.js
const showdown = require('showdown')

const json = [
  {
    "code": "## Chapter 21 - Dichotomous Predicted Variable",
    ...
  },
  {
    "code": "- [21.1 - Multiple Metric Predictors](#21.1---Multiple-Metric-Predictors)\n- [21.3 - Robust Logistic Regression](#21.3---Robust-Logistic-Regression)\n- [21.4 - Nominal Predictors](#21.4---Nominal-Predictors)",
    ...
  },
]

const converter = new showdown.Converter()
const result = json.map(item => converter.makeHtml(item.code))

console.log(result)

输出：

[ 
  '<h2 id="chapter21dichotomouspredictedvariable">Chapter 21 - Dichotomous Predicted Variable</h2>',
  '<ul>\n<li><a href="#21.1---Multiple-Metric-Predictors">21.1 - Multiple Metric Predictors</a></li>\n<li><a href="#21.3---Robust-Logistic-Regression">21.3 - Robust Logistic Regression</a></li>\n<li><a href="#21.4---Nominal-Predictors">21.4 - Nominal Predictors</a></li>\n</ul>' 
]