我应该如何匹配我从烧瓶API“预测：”和手工制作的Json的角字符串。

Question

我的角度包含以下内容：

const purfumes = [{
  id: 1,
  categories: [{
    Catogery: 'Citrus',
    scents: [
      {image: 'assets/images/Citrus/FR1.jpg', description: 'HEllo'},
      {image: 'assets/images/Citrus/FR-Citrus-2.jpg', description: ''},
      {image: 'assets/images/Citrus/FRCITRUS-3.jpg', description: ''},
      {image: 'assets/images/Citrus/FRCITRUS-4.jpg', description: ''},
      {image: 'assets/images/Citrus/FRCITRUS-5.jpg', description: ''},
    ],
    type: "prediction: ['Citrus (Zesty or tangy notes like mandarins or limes)']",
  }, {
    Catogery: 'Floral',
    scents: [
      {image: 'assets/images/Floral/FRFLORAL-1.png', description: ''},
      {image: 'assets/images/Floral/FRFLORAL-2.png', description: ''},
      {image: 'assets/images/Floral/FRFLORAL-3.png', description: ''},
      {image: 'assets/images/Floral/FRFLORAL-4.png', description: ''},
      {image: 'assets/images/Floral/FRFLORAL-5.png', description: ''},
      {image: 'assets/images/Floral/FRFLORAL-6.png', description: ''},
    ],
    type: "prediction: ['Floral (Smells like fresh-cut flowers - imagine rose, lily or jasmine)']",
  },{
    Catogery: 'Fruity',
    scents: [
      {image: 'assets/images/Fruity/FRFRUITY-1.jpg', description: ''},
      {image: 'assets/images/Fruity/FRFRUITY-2.jpg', description: ''},
      {image: 'assets/images/Fruity/FRFRUITY-3.jpg', description: ''},
      {image: 'assets/images/Fruity/FRFRUITY-4.jfif', description: ''},
      {image: 'assets/images/Fruity/FRFRUITY-5.png', description: ''},
      {image: 'assets/images/Fruity/FRFRUITY-6.jpg', description: ''},
    ],
    type: "prediction: ['Fruity (Sweet, edible and tropical like peach, pear and apple)']",
  },{
    Catogery: 'Green',
    scents: [
      {image: 'assets/images/Green/FRGREEN-1.jpg', description: ''},
      {image: 'assets/images/Green/FRGREEN-2.jpg', description: ''},
      {image: 'assets/images/Green/FRGREEN-3.jpg', description: ''},
      {image: 'assets/images/Green/FRGREEN-4.jpg', description: ''},
      {image: 'assets/images/Green/FRGREEN-5.jpg', description: ''},
      {image: 'assets/images/Green/FRGREEN-6.jpg', description: ''},
    ],
    type: "prediction: ['Green (Smells of freshly mowed lawns and crushed green leaves)']",
  },{
    Catogery: 'Oceanic',
    scents: [
      {image: 'assets/images/Oceanic/FROCEANIC-1.jpg', description: ''},
      {image: 'assets/images/Oceanic/FROCEANIC-2.jpg', description: ''},
      {image: 'assets/images/Oceanic/FROCEANIC-3.jpg', description: ''},
      {image: 'assets/images/Oceanic/FROCEANIC-4.jpg', description: ''},
      {image: 'assets/images/Oceanic/FROCEANIC-5.jpg', description: ''},
      {image: 'assets/images/Oceanic/FROCEANIC-6.jpg', description: ''},
    ],
    type: "prediction: ['Oceanic (Aquatic scents that smell of sea spray or rain mixed with oceanic notes)']",
  },{
    Catogery: 'Oriental',
    scents: [
      {image: 'assets/images/Oriental/FRORIENTAL-1.jpg', description: ''},
      {image: 'assets/images/Oriental/FRORIENTAL-2.jpg', description: ''},
      {image: 'assets/images/Oriental/FRORIENTAL-3.jpg', description: ''},
      {image: 'assets/images/Oriental/FRORIENTAL-4.jpg', description: ''},
      {image: 'assets/images/Oriental/FRORIENTAL-5.jpg', description: ''},
      {image: 'assets/images/Oriental/FRORIENTAL-6.jpg', description: ''},
    ],
    type: "prediction: ['Oriental (Sweet, warm notes like cinnamon, vanilla and musk)']",
  },{
    Catogery: 'Spicy',
    scents: [
      {image: 'assets/images/Spicy/FRSPICY-1.jpg', description: ''},
      {image: 'assets/images/Spicy/FRSPICY-2.jpg', description: ''},
      {image: 'assets/images/Spicy/FRSPICY-3.jpg', description: ''},
      {image: 'assets/images/Spicy/FRSPICY-4.jpg', description: ''},
      {image: 'assets/images/Spicy/FRSPICY-5.jpg', description: ''},
      {image: 'assets/images/Spicy/FRSPICY-6.jpg', description: ''},
    ],
    type: "prediction: ['Spicy (raw fresh aroma of cardamom, sage or saffron)']",
  },{
    Catogery: 'Woody',
    scents: [
      {image: 'assets/images/Woody/FRWOOD-1.jpg', description: ''},
      {image: 'assets/images/Woody/FRWOOD-2.jpg', description: ''},
      {image: 'assets/images/Woody/FRWOOD-3.jpg', description: ''},
      {image: 'assets/images/Woody/FRWOOD-4.jpg', description: ''},
      {image: 'assets/images/Woody/FRWOOD-5.jpg', description: ''},
      {image: 'assets/images/Woody/FRWOOD-6.jpg', description: ''},
    ],
    type: "prediction: ['Woody [Chypre] (Aromatic scents like cedar-wood, sandalwood, bergamot or vetiver)']",
  }]
}]

从烧瓶API模型中，我将数据发布到其中，我得到了响应：

{prediction: "['Woody [Chypre] (Aromatic scents like cedar-wood, sandalwood, bergamot or vetiver)']"}

我想将上面的响应与类别JSON字符串中的param类型匹配

我试着在角度上匹配

if (this.posteddata === this.recommend.categorys[0].type) {
        this.router.navigate([`/result`]);
      }else {
        alert("string doesnt match");
      }

this.posteddata是我从烧瓶API python获得的var，但它每次都给我string doesn't match。

有人能帮我一下吗？

Answer 1

试试这段代码，

Object.entries(this.posteddata).forEach(([key, value]) => {
   console.log(key, value);
});

您将得到键中的预测和值中的['Woody Chypre']。

现在，您可以比较type和value