Table of Contents
Understand HTTP request
Use Go standard library request API
Processing response data
Use third-party libraries to request API
Summary
Home Backend Development Golang Let's talk about the process of using Go language to request API

Let's talk about the process of using Go language to request API

Apr 11, 2023 am 10:39 AM

In modern web development, APIs have become an indispensable part. In order to complete data transmission and interaction from client to server, we need to send and receive HTTP requests and responses. In this article, we will use Go language to implement the process of requesting API.

Go language is an open source programming language that is very suitable for building highly concurrent, scalable and efficient web applications. In this article, we will use the standard library of the Go language or a third-party library to request the API and process the response data.

References:

  • https://golang.org/pkg/net/http/
  • https://github.com/go-resty/ resty
  • https://golang.org/pkg/encoding/json/
  • https://github.com/bitly/go-simplejson

Understand HTTP request

Before understanding how to use Go language to request API, we need to first understand how HTTP request works. HTTP requests usually consist of three parts: request line, request headers and request body.

The request line includes the requested method, URL, and HTTP version. Here, we generally use the GET method because it is the most commonly used method.

Request headers include different types of metadata. For example, we can use request headers to pass information such as authorization tokens, user agents, and cookies.

The request body usually contains the data sent to the server. However, when using a GET request, the request body is usually empty.

Use Go standard library request API

The standard library of Go language includes an HTTP package, which provides basic functions for sending HTTP requests and processing responses.

The following is an example of using the Go language standard library to request the API:

package main

import (
    "fmt"
    "net/http"
)

func main() {
    resp, err := http.Get("https://jsonplaceholder.typicode.com/posts")
    if err != nil {
        fmt.Println("请求错误:", err)
        return
    }
    defer resp.Body.Close()

    fmt.Println("响应状态码:", resp.StatusCode)
    fmt.Println("响应头部:", resp.Header)
}
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In this example, we use http.Get() to send an HTTP GET request, passing in the request API address.

If the request is successful, we can read the content of the response body through resp.Body. Finally, we close the response body using resp.Body.Close() to prevent resource leaks.

In this example, we only output the status code and header information of the response. If we want to handle the body of the request, we need to read the contents of the response.

Processing response data

The standard library in Go language supports processing of multiple response bodies. For example, we can use the json package to process responses in JSON format, use the xml package to process responses in XML format, etc. If the response sent by the API is not in one of these data formats, we can use the io package to read the response body.

The following is an example of using the Go standard library to process JSON format responses:

package main

import (
    "encoding/json"
    "fmt"
    "net/http"
)

type Post struct {
    UserId int `json:"userId"`
    Id     int `json:"id"`
    Title  string `json:"title"`
    Body   string `json:"body"`
}

func main() {
    resp, err := http.Get("https://jsonplaceholder.typicode.com/posts")
    if err != nil {
        fmt.Println("请求错误:", err)
        return
    }
    defer resp.Body.Close()

    var posts []Post
    err = json.NewDecoder(resp.Body).Decode(&posts)
    if err != nil {
        fmt.Println("解析错误:", err)
        return
    }

    for _, p := range posts {
        fmt.Println(p)
    }
}
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In this example, we define a structure Post, which corresponds to the JSON format returned by the API. We use the json package to parse the response body and parse the JSON into a Post structure.

Note that we passed the &posts parameter because the json.NewDecoder() method requires a pointer to the parsed variable. Finally, we print all requested posts.

Use third-party libraries to request API

In addition to the standard library of Go language, there are also some third-party libraries that can simplify the process of requesting APIs. For example, the Resty library can make the request API simpler and easier to use.

The following is an example of using the Resty library to request the API:

package main

import (
    "fmt"
    "github.com/go-resty/resty"
)

type Post struct {
    UserId int `json:"userId"`
    Id     int `json:"id"`
    Title  string `json:"title"`
    Body   string `json:"body"`
}

func main() {
    client := resty.New()
    resp, err := client.R().Get("https://jsonplaceholder.typicode.com/posts")
    if err != nil {
        fmt.Println("请求错误:", err)
        return
    }

    var posts []Post
    err = json.Unmarshal(resp.Body(), &posts)
    if err != nil {
        fmt.Println("解析错误:", err)
        return
    }

    for _, p := range posts {
        fmt.Println(p)
    }
}
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In this example, we use the Resty library to send the request, where client.R().Get() is to send GET Requested shortcut. We use the Unmarshal() method to parse the response body and parse the JSON into a Post structure.

Unlike the Go standard library, the Resty library also supports functions such as adding request headers, passing parameters, setting proxies, etc., making API requests more flexible and convenient.

Summary

In this article, we learned how to use Go language to send API requests and process response data. We learned about the three components of HTTP requests, and how to use the Go language standard library and Resty library.

Of course, in addition to these libraries, there are many other third-party libraries that can be used. Through continuous learning and experimentation, we can find the libraries and tools that are most suitable for the current project and use them to improve development efficiency and code quality.

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