react mock数据的方法:首先在public目录下建立【/api/headerList.json】文件;然后加入相关代码【axios.get('/api/headerList.json')】。

本教程操作环境:windows7系统、React17版、thinkpad t480电脑。
react mock数据的方法:
如下代码,在input获得焦点时调用getList()方法。
const mapDispathToProps = (dispatch) => {
return {
handleInputFocus() {
dispatch(actionCreators.getList())
}
}
}getList()方法是通过Ajax获取数据,此时后端并没有写好,所以自己mock一个数据。
export const getList = () => {
return (dispatch) => {
axios.get('/api/headerList.json').then((res) => {
const data = res.data;
console.log(data)
}).catch(() => {
console.log('error')
})
}
}axios.get('/api/headerList.json')这句代码,计算机会首先去src目录下寻找/api/headerList.json,没有找到然后去public目录下找,此时我们在public目录下建立/api/headerList.json文件,文件如下:
支持静态模板,支持动态模板标签,支持图片.SWF.FLV系列广告标签.支持百万级海量数据,绑定内置URL伪装策略(URL后缀名随你怎么写),绑定内置系统升级策略(暂不开放升级),绑定内置模板付费升级策略(暂不开放更新)。支持标签容错处理,绑定内置攻击防御策略,绑定内置服务器优化策略(系统内存释放的干干净净)。支持离线运行,支持次目录,兼容U主机。支持会员功能,支持文章版块权限阅读,支持会员自主注册
0
{
"success":true,
"data":["微信","支付宝","蚂蚁金服","被骗","借呗","诈骗","盗窃","pandas","TensorFlow","PyTorch","Caffe","scikit-learn","Python","Keras","pyecharts","ggplot","Matplotlib","Gensim","Bokeh","Theano","Scrapy","SciPy","Plotly","NumPy","XGBoost","是","他","有","光大永明","我","要","人","Android","女","大","不","着","男","它","二","于","中","java","把","上","这","下","的","了","来"]
}此时返回的数据就是以上数据,通过console.log(res.data)打印数据如下图:

这样mock数据就成功了。
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