[00]리액트 - 컴포넌트(component)

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수업/└리액트(React)

[00]리액트 - 컴포넌트(component)

onlyun 2022. 4. 20. 12:46

< p.56 ~ >

1. 리액트의 기초 개념

-리액트 : 컴포넌트를 여러 개 생성하여 컴포넌트를 조합해 하나의 화면을 구성

jsp나 spring에서 header, footer를 미리 만들어 놓고 필요할 때, 로딩(include)하여 사용하는 것과 동일

(1) 리액트의 기본 구성요소 3

컴포넌트	JSX	prop
실제 구현될 화면, js 파일	html과 js가 합해진 형태의 문법	각 컴포넌트끼리 데이터를 주고 받기 위한 객체. 일종의 매개변수

-기존에 jsp, html 역할을 컴포넌트가 함. 페이지 구성.

그런데, 화면을 그리기 위한 소스 코드를 전부 순수 자바스크립트로 생성하기 힘들기 때문에

JS + XML로 이루어진 JSX라는 문법을 사용하여 html 화면을 쉽게 구성

(1-1) 컴포넌트

함수형 컴포넌트, 클래스형 컴포넌트 존재

< 2022.04.21 >

2. 컴포넌트 심화...?

직접 데이터 입력하기 위해 파일 생성 및 링크

(1-1) App.js

import React from 'react';
import './App.css';

function App2() {
  return (
    <div>
      <h1>App.js를 App2.js로 대체하여 실습</h1>
    </div>
  );
}

export default App2;

(1-2) index.js

import React from 'react';
import ReactDOM from 'react-dom/client';
import './index.css';
//import App from './App';
import App2 from './App2';
import reportWebVitals from './reportWebVitals';

const root = ReactDOM.createRoot(document.getElementById('root'));
root.render(
  <React.StrictMode>
    {/* <App /> */}
    <App2 />
  </React.StrictMode>,
);

// If you want to start measuring performance in your app, pass a function
// to log results (for example: reportWebVitals(console.log))
// or send to an analytics endpoint. Learn more: https://bit.ly/CRA-vitals
reportWebVitals();

(1) 직접 데이터 입력

(1-1) Food.js

import React from 'react';

function Food({ fav }) {
  return <h1>I like {fav}</h1>;
}

export default Food;

>> App2.js : Food.js 수정에 따른 수정

import React from 'react';
import './App.css';
import Food from './Food';

/**
 * 음식 데이터를 출력할 컴포넌트
 * @param {*} 좋아하는 음식이름
 * @returns 내가 좋아하는 음식이름
 */
function App2() {
  return (
    <div>
      <h1>App.js를 App2.js로 대체하여 실습</h1>
      <Food fav="kimchi" />
      <Food fav="ramen" />
      <Food fav="rice" />
    </div>
  );
}

export default App2;

(2) 서버에서 전송된 데이터

-map을 사용해 배열로 출력

(2-1) App2.js

-이미지 주소 변경 : "이미지 주소 복사"

import React from 'react';
import './App.css';
import Food from './Food';

/**
 * 음식 데이터를 출력할 컴포넌트
 * @param {*} 좋아하는 음식이름
 * @returns 내가 좋아하는 음식이름
 */

/* 여기서 쓰면 import할 필요없음
 function Food({ fav }) {
    return <h1>I like {fav}</h1>;
  }
*/

//(2) 서버에서 전송된 데이터 : 배열([, ]) & 객체형({, })
const foodLike = [
  //dish.name
  //name은 key
  {
    name: 'Kimchi',
    image:
      'data:image/jpeg;base64,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',
  },
  {
    name: 'Ramen',
    image:
      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',
  },
  {
    name: 'Samgyeopsal',
    image:
      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',
  },
  {
    name: 'Rice',
    image:
      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',
  },
  {
    name: 'coffee',
    image:
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  },
];

function App2() {
  return (
    <div>
      <h1>App.js를 App2.js로 대체하여 실습</h1>
      //dish가 매개변수
      {foodLike.map((dish) => (
        <Food name={dish.name} />
      ))}
    </div>
  );
}

export default App2;

(2-2) Food.js

import React from 'react';

function Food({ name }) {
  return (
    <div>
      <h2>I like {name}</h2>
    </div>
  );
}

export default Food;

(2-3) 넣어둔 이미지 출력

import React from 'react';
import './App.css';
import Food from './Food';

/**
 * 음식 데이터를 출력할 컴포넌트
 * @param {*} 좋아하는 음식이름
 * @returns 내가 좋아하는 음식이름
 */

/* 여기서 쓰면 import할 필요없음
 function Food({ fav }) {
    return <h1>I like {fav}</h1>;
  }
*/

//(2) 서버에서 전송된 데이터 : 배열([, ]) & 객체형({, })
const foodLike = [
  //dish.name
  //name은 key
  {
    name: 'Kimchi',
    image:
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',
  },
  {
    name: 'Ramen',
    image:
      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',
  },
  {
    name: 'Samgyeopsal',
    image:
      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',
  },
  {
    name: 'Rice',
    image:
      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',
  },
  {
    name: 'coffee',
    image:
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  },
];

function App2() {
  return (
    <div>
      <h1>App.js를 App2.js로 대체하여 실습</h1>
      {/* <Food fav="kimchi" />
      <Food fav="ramen" />
      <Food fav="samgyeopsal" />
      <Food fav="rice" /> */}
      {/* dish가 매개변수 */}
      {foodLike.map((dish) => (
        <Food name={dish.name} picture={dish.image} />
      ))}
    </div>
  );
}

export default App2;

(3) propType

상위 컴포넌트로부터 전달받은 데이터가 하위 컴포넌트에서 원하는 타입의 데이터인지 확인.

원하는 타입이 아닐 경우 에러 발생시킴.

import React from 'react';
import './Food.css';

//★ 전달받은 데이터의 타입을 확인하기 위해서 prop-types 모듈 로드
import PropTypes from 'prop-types';

function Food({ name, picture }) {
  return (
    <div>
      <h2>I like {name}</h2>
      <img className="imgSize" src={picture} alt={name} />
    </div>
  );
}

export default Food;

//propType
//상위 컴포넌트로부터 전달받은 데이터가 하위 컴포넌트에서 원하는 타입의 데이터인지 확인
// ★
Food.PropTypes = {
    name: PropTypes.string.isRequired,
    picture: PropTypes.string.isRequired,
};

[alt] 누르고 PropTypes 클릭

-> 링크 클릭(깃허브)에서 사용 방법, 어떤 타입인지 알려주는지 등의 정보를 확인할 수 있음.

https://github.com/facebook/prop-types

-Usage

import React from 'react';
import PropTypes from 'prop-types';

class MyComponent extends React.Component {
  render() {
    // ... do things with the props
  }
}

MyComponent.propTypes = {
  // You can declare that a prop is a specific JS primitive. By default, these
  // are all optional.
  optionalArray: PropTypes.array,
  optionalBigInt: PropTypes.bigint,
  optionalBool: PropTypes.bool,
  optionalFunc: PropTypes.func,
  optionalNumber: PropTypes.number,
  optionalObject: PropTypes.object, //객체형
  optionalString: PropTypes.string, //문자형
  optionalSymbol: PropTypes.symbol, //ES6 버전에서 추가

  // Anything that can be rendered: numbers, strings, elements or an array
  // (or fragment) containing these types.
  // see https://reactjs.org/docs/rendering-elements.html for more info
  optionalNode: PropTypes.node, //html 문서

  // A React element (ie. <MyComponent />).
  optionalElement: PropTypes.element,
...

(3-1) propTypes

-Food.js

import React from 'react';
import './Food.css';

//전달받은 데이터의 타입을 확인하기 위해서 prop-types 모듈 로드
import PropTypes from 'prop-types';

function Food({ name, picture, rating }) {
  return (
    <div>
      <h2>I like {name}</h2>
      <h4>{rating} / 5.0</h4>
      <img className="imgSize" src={picture} alt={name} />
    </div>
  );
}

export default Food;

/*
propType
상위 컴포넌트로부터 전달받은 데이터가 하위 컴포넌트에서 원하는 타입의 데이터인지 확인
[alt] 누르고 PropTypes 클릭 -> 링크 클릭(깃허브)에서 사용 방법, 어떤 타입인지 알려주는지 등의 정보를 확인할 수 있음.
https://github.com/facebook/prop-types

-isRequired : 필수 속성으로 설정. 해당 데이터가 없을 경우 오류 발생.
 (해당 데이터로 넘어오지 않으면 에러 발생)
*/
//propTypes 맨 위에 것은 p가 소문자여야 함!!!
Food.propTypes = {
  name: PropTypes.string.isRequired,
  picture: PropTypes.string.isRequired,
  rating: PropTypes.number,
};

-App2.js

import React from 'react';
import './App.css';
import Food from './Food';

/**
 * 음식 데이터를 출력할 컴포넌트
 * @param {*} 좋아하는 음식이름
 * @returns 내가 좋아하는 음식이름
 */

/* 여기서 쓰면 import할 필요없음
 function Food({ fav }) {
    return <h1>I like {fav}</h1>;
  }
*/

//(2) 서버에서 전송된 데이터 : 배열([, ]) & 객체형({, })
const foodLike = [
  //dish.name
  //name은 key
  {
    id: 1,
    name: 'Kimchi',
    image: 'https://health.chosun.com/site/data/img_dir/2021/09/01/2021090100998_0.jpg',
    rating: 5,
  },
  {
    id: 2,
    name: 'Ramen',
    image: 'https://health.chosun.com/site/data/img_dir/2020/09/07/2020090702900_0.jpg',
    rating: 3.5,
  },
  {
    id: 3,
    name: 'Samgyeopsal',
    image: 'https://src.hidoc.co.kr/image/lib/2021/8/27/1630049987719_0.jpg',
    rating: 4.5,
  },
  {
    id: 4,
    name: 'Rice',
    image: 'http://month.foodbank.co.kr/upload/article/20160607/20160607001001000001_1.jpg',
    rating: 4.9,
  },
  {
    id: 5,
    name: 'coffee',
    image:
      'https://www.paris.co.kr/wp-content/uploads/200507_%EC%B9%B4%ED%8E%98%EB%9D%BC%EB%96%BC-1280x1280.jpg',
    rating: 4.7,
  },
];

function App2() {
  return (
    <div>
      <h1>App.js를 App2.js로 대체하여 실습</h1>
      {/* <Food fav="kimchi" />
      <Food name="ramen" />
      <Food name="samgyeopsal" />
      <Food name="rice" /> */}
      {/* dish가 매개변수 */}
      {foodLike.map((dish) => (
        <Food key={dish.id} name={dish.name} picture={dish.image} rating={dish.rating} />
      ))}
    </div>
  );
}

export default App2;

react-jsx-dev-runtime.development.js:87 Warning: Each child in a list should have a unique "key" prop.

Check the render method of `App2`. See https://reactjs.org/link/warning-keys for more information.
at Food (http://localhost:3000/static/js/bundle.js:148:5)
at App

>>props 객체에 key가 있어야 한다.
foodLike 안에 들어 있는 데이터들을 구분하는 것이 필요하다는 뜻

>> 아이디값 부여해서 구분되도록

>>Food.js

import React from 'react';
import './Food.css';

//전달받은 데이터의 타입을 확인하기 위해서 prop-types 모듈 로드
import PropTypes from 'prop-types';

function Food({ name, picture, rating }) {
  return (
    <div>
      <h2>I like {name}</h2>
      <h4>{rating} / 5.0</h4>
      <img className="imgSize" src={picture} alt={name} />
    </div>
  );
}

export default Food;

/*
propType
상위 컴포넌트로부터 전달받은 데이터가 하위 컴포넌트에서 원하는 타입의 데이터인지 확인
[alt] 누르고 PropTypes 클릭 -> 링크 클릭(깃허브)에서 사용 방법, 어떤 타입인지 알려주는지 등의 정보를 확인할 수 있음.
https://github.com/facebook/prop-types

-isRequired : 필수 속성으로 설정. 해당 데이터가 없을 경우 오류 발생.
 (해당 데이터로 넘어오지 않으면 에러 발생)
*/
//propTypes 맨 위에 것은 p가 소문자여야 함!!!
Food.propTypes = {
  name: PropTypes.string.isRequired,
  picture: PropTypes.string.isRequired,
  rating: PropTypes.number,
};

>>App2.js

import React from 'react';
import './App.css';
import Food from './Food';

/**
 * 음식 데이터를 출력할 컴포넌트
 * @param {*} 좋아하는 음식이름
 * @returns 내가 좋아하는 음식이름
 */

/* 여기서 쓰면 import할 필요없음
 function Food({ fav }) {
    return <h1>I like {fav}</h1>;
  }
*/

//(2) 서버에서 전송된 데이터 : 배열([, ]) & 객체형({, })
const foodLike = [
  //dish.name
  //name은 key
  {
    id: 1,
    name: 'Kimchi',
    image: 'https://health.chosun.com/site/data/img_dir/2021/09/01/2021090100998_0.jpg',
    rating: 5,
  },
  {
    id: 2,
    name: 'Ramen',
    image: 'https://health.chosun.com/site/data/img_dir/2020/09/07/2020090702900_0.jpg',
    rating: 3.5,
  },
  {
    id: 3,
    name: 'Samgyeopsal',
    image: 'https://src.hidoc.co.kr/image/lib/2021/8/27/1630049987719_0.jpg',
    rating: 4.5,
  },
  {
    id: 4,
    name: 'Rice',
    image: 'http://month.foodbank.co.kr/upload/article/20160607/20160607001001000001_1.jpg',
    rating: 4.9,
  },
  {
    id: 5,
    name: 'coffee',
    image:
      'https://www.paris.co.kr/wp-content/uploads/200507_%EC%B9%B4%ED%8E%98%EB%9D%BC%EB%96%BC-1280x1280.jpg',
    rating: 4.7,
  },
];

function App2() {
  return (
    <div>
      <h1>App.js를 App2.js로 대체하여 실습</h1>
      {/* <Food fav="kimchi" />
      <Food name="ramen" />
      <Food name="samgyeopsal" />
      <Food name="rice" /> */}
      {/* dish가 매개변수 */}
      {foodLike.map((dish) => (
        <Food key={dish.id} name={dish.name} picture={dish.image} rating={dish.rating} />
      ))} //id 입력해줘서 key 
    </div>
  );
}

export default App2;

(4) 클래스형 컴포넌트 사용

-class형 컴포넌트 생성 : class 키워드를 사용하여 js 클래스 생성 → extends 사용하여 React.Component 상속받음
-사용법 : class 클래스명 extends React.Component

-App3.js

import React from "react";
import "./App.css";

//class형 컴포넌트 사용
function App3(){
    return;
}

export default App3;

-index.js

import React from 'react';
import ReactDOM from 'react-dom/client';
import './index.css';
//import App from './App';
// import App2 from './App2';
import App3 from './App3';
import reportWebVitals from './reportWebVitals';

const root = ReactDOM.createRoot(document.getElementById('root'));
root.render(
  <React.StrictMode>
    {/* <App /> */}
    {/* <App2 /> */}
    <App3 />
  </React.StrictMode>,
);

// If you want to start measuring performance in your app, pass a function
// to log results (for example: reportWebVitals(console.log))
// or send to an analytics endpoint. Learn more: https://bit.ly/CRA-vitals
reportWebVitals();

(4-1) App3.js

-render() 사용

-state 사용 : 멤버 변수라고 생각해. 동적 데이터(변경될 수 있는 데이터)

(props는 다른 곳에서 데이터를 가져옴.)

import React from 'react';
import './App.css';

//class형 컴포넌트 사용
/*
-class형 컴포넌트 생성 : class 키워드를 사용하여 js 클래스 생성 → extends 사용하여 React.Component 상속받음
-사용법 : class 클래스명 extends React.Component
*/
/*
리액트 컴포넌트 : 함수형, 클래스형
-함수형
-클래스형 : render()가 반드시 있어야 함.
 └render()는 클래스형 컴포넌트에서 컴포넌트의 화면을 구성하기 위한 함수
 └state : 컴포넌트의 렌더링 결과물에 영향을 주는 데이터를 가지고 있는 객체, props와 비슷
 (*props와 차이점 : props의 경우 상위 컴포넌트에서 하위 컴포넌트로 데이터가 전달.
                   state는 해당 컴포넌트 내에서 관리)

-컴포넌트 구현하는 것과 사용하는 것을 분리하여 사용.
*/

class App3 extends React.Component {
  state = {
    count: 0,
  };

  render() {
    return (
      <div>
        <h1>클래스형 컴포넌트 사용하기</h1>
        <h3>state가 가지고 있는 count값 : {this.state.count}</h3>
      </div>
    );
  }
}

export default App3;

(4-2) 버튼 사용해보기 - setState()

-setState() : state 객체가 가지고 있는 데이터를 수정하는 함수
-사용법 : setState(요소명 및 연산식)

import React from 'react';
import './App.css';

//class형 컴포넌트 사용
class App3 extends React.Component {
  state = {
    count: 0,
  };
//함수
  add = () => {
    console.log('Add');
  };
  minus = () => {
    console.log('Minus');
  };

  render() {
    return (
      <div>
        <h1>클래스형 컴포넌트 사용하기</h1>
        <h3>state가 가지고 있는 count값 : {this.state.count}</h3>
        <button onClick={this.add}> + </button>
        <button onClick={this.minus}> - </button>
      </div>
    );
  }
}

export default App3;

└버튼 클릭시 웹브라우저 콘솔창에 Add / Minus가 출력되는 것을 확인할 수 있음.

>> [+]/[-] 버튼 클릭에 따른 숫자 증감

import React from 'react';
import './App.css';

/*
-setState() : state 객체가 가지고 있는 데이터를 수정하는 함수
-사용법 : setState(요소명 및 연산식)
*/
class App3 extends React.Component {
  state = {
    count: 0,
  };

  add = () => {
    // this.setState({ count: 1 }); 값을 1로 바꿈.
    this.setState({ count: this.state.count + 1 }); //버튼 클릭함에 따라 숫자 증가
    console.log('Add');
  };
  minus = () => {
    // this.setState({ count: -1 });
    this.setState({ count: this.state.count - 1 }); //버튼 클릭함에 따라 숫자 감소
    console.log('Minus');
  };

  /*
-기본 함수 사용방식
add = function(){
    this.setState({count: this.state.count + 1});
};
*/

  render() {
    return (
      <div>
        <h1>클래스형 컴포넌트 사용하기</h1>
        <h3>state가 가지고 있는 count값 : {this.state.count}</h3>
        <button onClick={this.add}> + </button>
        <button onClick={this.minus}> - </button>
      </div>
    );
  }
}

export default App3;

(+) setState()는 비동기 동작

따라서, 원하는 순간에 데이터의 변경을 보장하지 못함. → setState() 매개변수로 함수를 넘기면 정상적으로 사용 가능

App3.js의 Add(), Minus() 함수 수정

  add = () => {
  //고정값 지정
    // this.setState({ count: 1 });
    
    // this.setState({ count: this.state.count + 1 }); //버튼 클릭함에 따라 숫자 증가
    
    //비동기 동작 보완 - 매개변수를 함수로
    this.setState((current) => ({
        count: current.count +1,
    }));
  };
  
  minus = () => {
  //고정값 지정
    // this.setState({ count: -1 });
    
    // this.setState({ count: this.state.count - 1 }); //버튼 클릭함에 따라 숫자 감소
    
    this.setState((current) => ({
        count: current.count -1,
    }));
  };

(5) 실습 : App4.js

문제 1) class형 컴포넌트 App4 생성
-현재 채널 및 볼륨 표시
-버튼 : 채널 및 볼륨의 up/down 버튼 생성
-ps1) 볼륨 : 0 - 15 / 범위 초과할 수 없음
-ps2) 채널 : 1 - 15 / 15초과 시 1, 1미만 시 15 출력
-ps3) 각각 불륨 및 채널은 1씩 변경

-index.js

import React from 'react';
import ReactDOM from 'react-dom/client';
import './index.css';
//import App from './App';
// import App2 from './App2';
import App3 from './App3';
import App4 from './App4'; //★
import reportWebVitals from './reportWebVitals';

const root = ReactDOM.createRoot(document.getElementById('root'));
root.render(
  <React.StrictMode>
    {/* <App /> */}
    {/* <App2 /> */}
    {/* <App3 /> */}
    <App4 /> //★
  </React.StrictMode>,
);

reportWebVitals();

-App4.js

import React from 'react';
import './App.css';

class App4 extends React.Component {
  state = {
    ch: 1,
    vol: 0,
  };

  volAdd = () => {
    if (this.state.vol < 15) {
      this.setState({ vol: this.state.vol + 1 });
    } else {
      console.log({ vol: this.state.vol });
    }
  };

  volMinus = () => {
    if (this.state.vol > 0) {
      this.setState({ vol: this.state.vol - 1 });
    } else {
      console.log({ vol: this.state.vol });
    }
  };

  //채널
  chAdd = () => {
    if (this.state.ch > 14) {
      this.setState({ ch: 1 });
    } else if (this.state.ch < 0) {
      this.setState({ ch: 15 });
    } else {
      this.setState({ ch: this.state.ch + 1 });
    }
  };

  chMinus = () => {
    if (this.state.ch > 14) {
      this.setState({ ch: 1 });
    } else if (this.state.ch < 1) {
      this.setState({ ch: 15 });
    } else {
      this.setState({ ch: this.state.ch - 1 });
    }
  };

  render() {
    return (
      <div>
        <h1> 리모컨 </h1>
        <h3>현재 채널 : {this.state.ch}</h3>
        <h3>현재 볼륨 : {this.state.vol}</h3>
        <p>------------------------------</p>
        <p>
          채널
          <button onClick={this.chAdd}> + </button>
          <button onClick={this.chMinus}> - </button>
        </p>
        <p>
          볼륨
          <button onClick={this.volAdd}> + </button>
          <button onClick={this.volMinus}> - </button>
        </p>
      </div>
    );
  }
}

export default App4;

└up/down 함수쓸 때, if문 다 쓸 필요없음. 함수의 조건문(if) 간단하게 ↓↓↓↓

-up일 땐, 초과 관련 조건만 적어주면 됨. / down일 땐, 미만 관련 조건만 적어주면 됨.

import React from 'react';
import './App.css';

class App4 extends React.Component {
  state = {
    ch: 1,
    vol: 0,
  };

  volAdd = () => {
    this.setState({ vol: this.state.vol + 1 });
    if (this.state.vol > 14) {
      this.setState({ vol: 15 });
    }
  };

  volMinus = () => {
    this.setState({ vol: this.state.vol - 1 });
    if (this.state.vol < 1) {
      this.setState({ vol: 0 });
    }
  };

  //채널
  chAdd = () => {
    this.setState({ ch: this.state.ch + 1 });
    if (this.state.ch > 14) {
      this.setState({ ch: 1 });
    }
  };

  chMinus = () => {
    this.setState({ ch: this.state.ch - 1 });
    if (this.state.ch < 1) {
      this.setState({ ch: 15 });
    }
  };

>> 결과

(+) 비동기 동작의 단점 보완 : 함수 수정

setState() 매개변수로 함수를 넘기면 정상적으로 사용 가능

-App4.js

import React from 'react';
import './App.css';

class App4 extends React.Component {
  state = {
    ch: 1,
    vol: 0,
  };

  volAdd = () => {
    //비동기 방식 단점 보완
    this.setState((current) => ({
      vol: current.vol + 1,
    }));
    
    if (this.state.vol > 14) {
      this.setState(() => ({
        vol: 15,
      }));
    }
  };

  volMinus = () => {
    //비동기 방식 단점 보완
    this.setState((current) => ({
      vol: current.vol - 1,
    }));
    
    if (this.state.vol < 1) {
      this.setState(() => ({
        vol: 0,
      }));
    }
  };

  //채널
  chAdd = () => {
    this.setState((current) => ({
      ch: current.ch + 1,
    }));
    
    if (this.state.ch > 14) {
      this.setState(() => ({
        ch: 1,
      }));
    }
  };

  chMinus = () => {
    this.setState((current) => ({
      ch: current.ch - 1,
    }));
    
    if (this.state.ch <= 1) {
      this.setState(() => ({
        ch: 15,
      }));
    }
  };

(+) state는 var state이기 때문에,

var 변수 선언 키워드의 특징인, '변수 중복 선언' 가능함. props와 달리 내부적으로만 사용. 객체의 멤버변수.

매개변수를 state로 사용 ↓↓

class App4 extends React.Component {
  state = {
    ch: 1,
    vol: 0,
  };

  volAdd = () => {
    this.setState((state) => ({ //매개변수를 state로 사용. 변수 선언 키워드 var 특징-중복선언가능때문에 에러없이 사용가능
      vol: state.vol + 1,
    }));
    
    if (this.state.vol > 14) {
      this.setState(() => ({
        vol: 15,
      }));
    }
  };
}

3. 컴포넌트 생명주기

-생명주기 함수 : constructor(), render(), componentDidMount()

-constructor : 해당 컴포넌트가 마운트되기 전에 호출

-render : 렌더 함수가 jsx를 화면에 그린 이후에 호출되는 함수(컴포넌트 출력물이 DOM에 렌더링 된 이후)

컴포넌트가 화면에 모두 표현된 이후에 해야 하는 작업들을 처리 및 진행

-componentDidMount : 컴포넌트가 실제 화면에 출력된 이후

-ComponentDidUpdate() : 컴포넌트 정보가 업데이트되고 난 후 호출

-componentWillUnmount : 컴포넌트가 소멸되기 직전에 호출되는 함수

(1) 간단 실습

-App5.js

└App3, App4번과 동일한데 생성자(Constructor) 추가된 것만 다름.

└componentDidMount 추가

import React from 'react';
import './App.css';

class App5 extends React.Component {
  //constructor(생성자)
  constructor(props) {
    super(props);
    console.log('construct 실행');
  }

  state = {
    count: 0,
  };

  add = () => {
    this.setState((state) => ({
      count: state.count + 1,
    }));
  };

  minus = () => {
    this.setState((state) => ({
      count: state.count - 1,
    }));
  };

  componentDidMount() {
    console.log('componentDidMount PLAY');
  }

  render() {
    console.log('render 동작');
    return (
      <div>
        <h1>number : {this.state.count}</h1>
        <button onClick={this.add}> + </button>
        <button onClick={this.minus}> - </button>
      </div>
    );
  }
}
export default App5;

>> 웹 브라우저에서 확인(yarn start)하면

자동적으로 [ 생성자 → 렌더 → 컴포넌트디드마운트 ]가 순서대로 실행됨을 알 수 있음.

(2) 생명주기 심화

리액트의 각 컴포넌트는 3가지 주요 단계를 통해 생명주기를 관리

→ Mounting, Updating, Unmounting

Mounting	Updating	Unmounting
html의 DOM에 React 컴포넌트를 붙이는 것 리액트를 통해서 화면을 최초 생성할 때	화면 구성 완료된 후, 컴포넌트 상태가 변경될 때	DOM 제거 또는 해당 컴포넌트를 사용하지 않을 때

(0-1) Mounting 순서

constructor() > getDerivedStateFromProps() > render() > componentDidMount()

└constructor() : 컴포넌트가 초기화될 때 가장 먼저 호출, state와 다른 초기값들을 세팅

└getDerivedStateFromProps()

DOM 요소들이 렌더링되기 직전에 호출. 최초의 props에 기반한 state 객체 저장

└render() : DOM에 React의 가상 DOM을 사용하여 화면을 그려줌.

└componentDidMount() : 해당 컴포넌트가 렌더링된 직후에 호출

(0-2) Updating

getDerivedStateFromProps() > shouldComponentUpdate() > render() > getSnapshotBeforeUpdate()
> ComponentDidUpdate()

└getDerivedStateFromProps() : 화면 업데이트 시 가장 먼저 호출. 초기 state에 기반한?

└shouldComponentUpdate() : 리액트가 렌더링을 계속해야하는지에 대한 정보를 Boolean값으로 갑ㄴ환

└render() : 실제 변경된 내용을 다시 화면에 출력

└getSnapshotBeforeUpdate() : 업데이트 전의 props와 state에 접근할 수 있음.

업데이트가 완료된 이후에도 update 이전의 props와 state의 정보를 확인.

이 메소드 사용시 반드시 componentDidUpdate() 메서드도 사용해야 함.

└ComponentDidUpdate() : 컴포넌트 정보가 업데이트되고 난 후 호출

(0-3) Unmounting

└componentWillUnmount() : 컴포넌트가 DOM에서 제거될 때 호출

저작자표시 (새창열림)

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