如何删除节点中数组周围的引号？

Question

I processed a data in python and saved the file in JSON format.

However, I ran into a problem after getting the JSON file when I use them in node.js which is

the JSON file looks like as below.

{
    "title": "Christmas Eggnog",
    "ingredients": "['whites', 'yolks', 'sugar', 'rye', 'whiskey', 'brandy', 'rum', 'cream']",
    "id": "05zEpbSqcs9E0rcnCJWyZ9OgdH0MLby"
},

The ingredients has to be a normal array however, it is an array held by quotation marks. And it eventually makes it impossible to read this json file as intended.

{
    "title": "Christmas Eggnog",
    "ingredients": ["whites", "yolks", "sugar", "rye", "whiskey", "brandy", "rum", "cream"],
    "id": "05zEpbSqcs9E0rcnCJWyZ9OgdH0MLby"
},

I would like to get the log value like below. When I read this JSON file in node.

const fs = require('fs');

let predata = fs.readFileSync('./data/testonce.json')
let data = JSON.parse(predata)
let newData = [];
data.forEach((d) => {
    newData.push((d) => {
        let targetarray = d.ingredients.split(',')
        return {...d, ingredients: targetarray }
    })
})

console.log(newData[0])
//"whites"

I can't get the string "white" because node doesn't understand the fact that "['whites', 'yolks', 'sugar', 'rye', 'whiskey', 'brandy', 'rum', 'cream']" is an array. Node sees it as one long string.

How do I turn this string into a normal array?

Edit)

My python code is as below.

import pandas as pd

df = pd.read_csv('./test.csv')

ingredients = df['ingredients']

for i in range(len(ingredients)):
    ingredients[i]=str(ingredients[i])[1:-1]

ingredients

df['ingredients']=ingredients

df.to_csv ('./datatest.csv', index = False, header=True)

After this, I used csv->json formatter in this website. https://csvjson.com/[![enter image description here] 1 ] 1

Edit)

this is the csv file link

we.tl/t-Kw435qpNNd

It looks like this

Edit) Sample csv text This is the sample csv text.

title,ingredients,id Christmas Eggnog,"['whites', 'yolks', 'sugar', 'rye', 'whiskey', 'brandy', 'rum', 'cream']",05zEpbSqcs9E0rcnCJWyZ9OgdH0MLby "Veal, Carrot and Chestnut Ragoût ","['chestnuts', 'veal', 'stew', 'meat', 'oil', 'onion', 'garlic', 'leaf', 'salt', 'chicken broth', 'wine', 'carrots', 'sage']",mF5SZmoqxF4WtIlhLRvzuKk.z6s7P2S Caramelized Bread Pudding with Chocolate and Cinnamon,"['butter', 'brioche', 'quality', 'bread', 'crusts', 'eggs', 'egg', 'yolks', 'brown', 'sugar', 'cream', 'milk', 'vanilla', 'cinnamon', 'nutmeg', 'kosher salt', 'chocolate', 'top']",oQV5D7cVbCFwmrDs3pBUv2y.AG0WV26 Sherried Stilton and Green Peppercorn Spread,"['stilton', 'cream cheese', 'peppercorns', 'brine', 'sherry']",Z9seBJWaB5NkSp4DQHDnCAUBTwov/1u Almond-Chocolate Macaroons,"['almonds', 'sugar', 'cinnamon', 'salt', 'egg', 'almond', 'semisweet', 'chocolate']",bB3GxoAplVZeoX3fzWNWyeECtQFxw6G White Sauce or Bechamel Sauce,"['butter', 'flour', 'milk', 'salt', 'pepper']",FHQAJvovVtPyKWlzgFEHgSUJsCM2Tj q

Answer 1

because its a string, you need to strip of the bad bits you do not want, and then convert what is left of the string into an array

var list = "['whites', 'yolks', 'sugar', 'rye', 'whiskey', 'brandy', 'rum', 'cream']".replace(/[\[\]["',]/g,'').split(" ");

The replace uses regex to remove the " ', [ ] characters, and the split cuts up the string by the remaining spaces and converts it into an array.

console.log(list);
0: "whites"
1: "yolks"
2: "sugar"
3: "rye"
4: "whiskey"
5: "brandy"
6: "rum"
7: "cream"
length: 8
__proto__: Array(0)

Answer 2

I agree with Thierry Lathuille to fix the problem in the producer. If you you want to patch it up here, I would parse the string as JSON and just replace it:

data.forEach(r => {
    r.ingredients = JSON.parse(r.ingredients);
}

Answer 3

 const json = { "title": "Christmas Eggnog", "ingredients": "['whites', 'yolks', 'sugar', 'rye', 'whiskey', 'brandy', 'rum', 'cream']", "id": "05zEpbSqcs9E0rcnCJWyZ9OgdH0MLby" } const ingredients = json.ingredients.substr(1, json.ingredients.length -2) const ingredientsList = ingredients.split(', ').map(item => item.substr(1, item.length -2)) console.log(ingredientsList)