1.0.3 • Published 3 years ago

throttle-axios v1.0.3

Weekly downloads
-
License
MIT
Repository
github
Last release
3 years ago

taxios

Taxios(throttle-axios), using LRU algorithm to achieve caching, can automatically cancel repeated requests.

Usage

You need to implement the abstract class like this:

// Set config defaults
Taxios.config = {
    baseURL: 'https://api.example.com'
}

class AbstractTaxios extends Taxios {
    // All errors with http status !== 200 will appear here
    async onFailed(err: AxiosError) {
        console.error(err, errCode)
    }
}

const taxios = new AbstractTaxios()

// Set your interceptors
taxios.interceptors.request = (config) => {
    // Do what you want before the request
    console.log('request interceptor')
    return Promise.resolve(config)
}

taxios.interceptors.response = (res) => {
    // Do what you want after getting the response
    console.log('response interceptor: 1', res)
    return Promise.resolve(res)
}

taxios.interceptors.response = (res) => {
    console.log('response interceptor: 2', res)
    return Promise.resolve(res)
}

export default taxios

The order of execution of the interceptors:

for request: 1. request interceptor 1. and so on... 1. the default request interceptor in taxios

for response: 1. the default response interceptor in taxios 1. response interceptor 1 1. response interceptor 2 1. and so on...

Configurations

taxios extends axios's configurations

  • capacity: number For Global

    Maximum number of caches

  • cacheable: boolean For Single Request

    Enable caching

  • cancelable: boolean For Single Request

    Enable canceling the request consistent with the status of pengding

Same Request

Use md5 to generate a unique hash for each request, if the url, method, params or body of this request are consistent with the others, then the request is considered the same request.

Cache

Use the LRU algorithm to manage the cache.

Cancellation

If there is a request consistent with the status of pending, it will be cancelled.

Axios Auth Refresh

Refresh the token by implementing the onTokenExpired.