Use React Query and database for data cleaning and validation

Use React Query and database for data cleaning and verification

In modern web application development, processing and managing front-end data is a very important task. React Query is a powerful library that can help us with data management, and the database is an important tool for storing application data. This article will introduce how to use React Query and the database for data cleaning and verification, and provide specific code examples.

1. Background
Now assume that we have a simple task management application where users can create tasks and save them to the database. During the task creation process, we need to clean and verify the data entered by the user to ensure the validity and consistency of the data. At the same time, we also need to save the task data to the database for future query and use.

2. Data cleaning and verification

1. Installing React Query
   First, we need to install React Query in the project. It can be installed using npm or yarn command.

npm：

npm install react-query

yarn：

yarn add react-query

2. Create React Query Provider
   In the application’s entry file, we need to create a React Query Provider and wrap it in the outer layer of the App component. Provider will inject React Query related functions into the entire application for us to use later.

import React from 'react';
import { QueryClient, QueryClientProvider } from 'react-query';

const queryClient = new QueryClient();

function App() {
  return (
    <QueryClientProvider client={queryClient}>
      {/* 应用的其他组件 */}
    </QueryClientProvider>
  );
}

export default App;

3. Use React Query's useMutation hook in the component
   Next, in the component where we need to perform data cleaning and verification, use React Query's useMutation hook to process it Submission and preservation of data. The useMutation hook can help us handle request status (such as loading, success, error, etc.) and provide a function to handle the logic of request sending and result processing.

import React from 'react';
import { useMutation } from 'react-query';

function CreateTaskForm() {
  const createTaskMutation = useMutation((newTask) => {
    // 执行任务创建的逻辑
    return fetch('/api/tasks', {
      method: 'POST',
      body: JSON.stringify(newTask),
    }).then((response) => response.json());
  });

  const handleSubmit = (event) => {
    event.preventDefault();

    const form = event.target;
    const formData = new FormData(form);

    const newTask = {
      title: formData.get('title'),
      description: formData.get('description'),
      // 其他字段
    };

    createTaskMutation.mutate(newTask);
  };

  return (
    <form onSubmit={handleSubmit}>
      <input type="text" name="title" />
      <textarea name="description" />
      {/* 其他输入框 */}
      <button type="submit">创建任务</button>
    </form>
  );
}

In the above example, we used a mock API /api/tasks to simulate the task creation request and return the task details after the request is successful. .

4. Database connection and operation
   After the data cleaning and verification is completed, we need to save the task data to the database. Here we take the MongoDB database as an example and use the Mongoose library to connect and operate the database.

First, we need to install Mongoose:

npm:

npm install mongoose

yarn:

yarn add mongoose

Then, create a db in the project .js file and add the following code:

const mongoose = require('mongoose');

mongoose.connect('mongodb://localhost:27017/my-database', {
  useNewUrlParser: true,
  useUnifiedTopology: true,
});

const TaskSchema = new mongoose.Schema({
  title: {
    type: String,
    required: true,
  },
  description: {
    type: String,
    required: true,
  },
  createdAt: {
    type: Date,
    default: Date.now,
  },
  // 其他字段
});

const TaskModel = mongoose.model('Task', TaskSchema);

module.exports = TaskModel;

In the above code, we define a simple task model and export the model for use elsewhere in the application.

5. Save task data to the database
   Next, in the asynchronous callback function of React Query's useMutation hook, we can use Mongoose to save the task data to the database.

import React from 'react';
import { useMutation } from 'react-query';
import TaskModel from './db';

function CreateTaskForm() {
  const createTaskMutation = useMutation((newTask) => {
    // 执行任务创建的逻辑
    return TaskModel.create(newTask); // 使用 Mongoose 保存任务数据
  });

  // 其他代码

  return (
    {/* 表单代码 */}
  );
}

In the above example, we use the TaskModel.create method to save task data to the database.

3. Summary
By using React Query and the database, we can easily clean and verify the front-end data and save it to the database. This ensures the validity and consistency of the data and improves the user experience and data quality of the application. The above sample code is just a simple example. In actual projects, it can be expanded and optimized according to needs to meet specific business needs.

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