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Datatable Axios is a simple and convenient npm package that helps you make GET, POST, and PUT requests with ease, while handling search parameters and pagination seamlessly for ssr datatable. It's built on top of the popular Axios library, making it reliable and efficient for your data fetching needs.

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Datatable Axios

mahmudunnabikajal - datatable-axios Latest Stable Version NPM Downloads License Documentation

Datatable Axios is a simple and convenient npm package that helps you make GET, POST, and PUT requests with ease, while handling search parameters and pagination seamlessly. It's built on top of the popular Axios library, making it reliable and efficient for your data fetching needs.

 

Installation

You can install Datatable Axios using npm:

npm install datatable-axios

 

Why Datatable Axios?

Simplify your HTTP calls without repetition. Say goodbye to repeating steps for every datatable request!

  • Cons: Without using the library, you can achieve the same functionality in Axios which isn't readable & reusable.
const response = await axios.get('http://example.com/api/v1/products?page=2&paginate=25&search=we');
console.log(response.data);
  • Pros: After using this library, you can achieve the same functionality of Axios in a readable & reusable way
const response = await datatable.get('products');
console.log(response.data);

 

Usage

To get started with Datatable Axios, follow these simple steps:

  • use global axios plugin setup in axios.js (optional)
import axios from "axios"

// Make the axios library globally available on the window object
window.axios = axios
// Set your base API URL for seamless requests
window.axios.defaults.baseURL = "http://example.com/api/v1/"

// Other configuration here
  • Import the package at the top of your JavaScript file:
import datatable from 'datatable-axios'
  • Initialize an instance of the Datatable class:
const datatable = new Datatable();

 

Use of API URL:

  • When you have a global axios.js configuration setting with baseURL, simplify calls API by using just the path:
const response = await datatable.get('products');
console.log(response.data);
  • If you're not utilizing a global axios.js configuration for with baseURL, include the full URL when making API calls:
const response = await datatable.get('http://example.com/api/v1/products');
console.log(response.data);

 

Use of HTTP requests:

  • Perform a GET request:
const response = await datatable.get('url or path');
console.log(response.data); // Display the fetched data
  • Perform a POST request:
const response = await datatable.post('url or path');
console.log(response.data); // Display the response data
  • Perform a PUT request:
const response = await datatable.put('url or path');
console.log(response.data); // Display the updated data

 

Example of HTTP call:

  • Example 1 :
datatable.get('http://example.com/api/v1/products')
  .then(response => {
    console.log("Data fetched successfully:", response.data);
  })
  .catch(error => {
    console.error("An error occurred:", error);
  });
  • Example 2 :
try {
  const response = await datatable.get('/api/v1/products');
  console.log("Data fetched successfully:", response.data);
} catch (error) {
  console.error("An error occurred:", error);
}

Note: Similar usage for POST and PUT requests

 

Contributing

We welcome contributions to enhance Datatable Axios! Feel free to open issues for bug reports or feature requests. If you'd like to contribute code, please fork the repository, make your changes, and submit a pull request.

 

License

Released under MIT License by @mahmudunnabikajal.

 

Author

Mahmudun Nabi Kajal
Contact: Linkedin, GitHub, Gmail, Website

Feel free to reach out to me for any questions or feedback! I hope Datatable Axios simplifies your data fetching process for your datatable.

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Datatable Axios is a simple and convenient npm package that helps you make GET, POST, and PUT requests with ease, while handling search parameters and pagination seamlessly for ssr datatable. It's built on top of the popular Axios library, making it reliable and efficient for your data fetching needs.

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