这篇文章将介绍命令行词典的实现，在命令行调用时加上想要查询的单词，就可以自动返回对应的翻译和音标。

抓包

这里将使用彩云翻译作为例子。首先右键检查，然后选择网络，再找到dict确认他的请求方法为post，我们需要做的就是想办法在go中发送这个请求

右键dict选择以cURL(bash)格式复制所有内容，复制完大概是下面这些。

curl 'https://api.interpreter.caiyunai.com/v1/dict' \
  -H 'authority: api.interpreter.caiyunai.com' \
  -H 'accept: application/json, text/plain, */*' \
  -H 'accept-language: zh-CN,zh;q=0.9,en;q=0.8' \
  -H 'app-name: xy' \
  -H 'content-type: application/json;charset=UTF-8' \
  -H 'device-id: b3ed4c4ef7ccb24b642304075d08e412' \
  -H 'origin: https://fanyi.caiyunapp.com' \
  -H 'os-type: web' \
  -H 'os-version;' \
  -H 'referer: https://fanyi.caiyunapp.com/' \
  -H 'sec-ch-ua: "Not-A.Brand";v="24", "Chromium";v="14"' \
  -H 'sec-ch-ua-mobile: ?0' \
  -H 'sec-ch-ua-platform: "Windows"' \
  -H 'sec-fetch-dest: empty' \
  -H 'sec-fetch-mode: cors' \
  -H 'sec-fetch-site: cross-site' \
  -H 'user-agent: Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/108.0.5359.125 Safari/537.36' \
  -H 'x-authorization: token:qgemv4jr1y38jyq6vhvi' \
  --data-raw '{"trans_type":"en2zh","source":"hello"}' \
  --compressed

看的出来这个请求构造起来非常的麻烦，这里我们将使用代码生成工具来构造请求。这里将使用这个代码生成工具。

选择go语言并将刚才复制的粘贴到curl command中

然后这个工具就可以自动生成以下代码，到这里第一步抓包就完成了，这时候试着运行以下代码，已经可以成功的获取翻译信息了，但是目前获得的还是固定的信息。

package main

import (
	"fmt"
	"io"
	"log"
	"net/http"
	"strings"
)

func main() {
	client := &http.Client{}
	var data = strings.NewReader(`{"trans_type":"en2zh","source":"hello"}`)
	req, err := http.NewRequest("POST", "https://api.interpreter.caiyunai.com/v1/dict", data)
	if err != nil {
		log.Fatal(err)
	}
	req.Header.Set("authority", "api.interpreter.caiyunai.com")
	req.Header.Set("accept", "application/json, text/plain, */*")
	req.Header.Set("accept-language", "zh-CN,zh;q=0.9,en;q=0.8")
	req.Header.Set("app-name", "xy")
	req.Header.Set("content-type", "application/json;charset=UTF-8")
	req.Header.Set("device-id", "b3ed4c4ef7ccb24b642304075d08e412")
	req.Header.Set("origin", "https://fanyi.caiyunapp.com")
	req.Header.Set("os-type", "web")
	req.Header.Set("os-version", "")
	req.Header.Set("referer", "https://fanyi.caiyunapp.com/")
	req.Header.Set("sec-ch-ua", `"Not-A.Brand";v="24", "Chromium";v="14"`)
	req.Header.Set("sec-ch-ua-mobile", "?0")
	req.Header.Set("sec-ch-ua-platform", `"Windows"`)
	req.Header.Set("sec-fetch-dest", "empty")
	req.Header.Set("sec-fetch-mode", "cors")
	req.Header.Set("sec-fetch-site", "cross-site")
	req.Header.Set("user-agent", "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/108.0.5359.125 Safari/537.36")
	req.Header.Set("x-authorization", "token:qgemv4jr1y38jyq6vhvi")
	resp, err := client.Do(req)
	if err != nil {
		log.Fatal(err)
	}
	defer resp.Body.Close()
	bodyText, err := io.ReadAll(resp.Body)
	if err != nil {
		log.Fatal(err)
	}
	fmt.Printf("%s\n", bodyText)
}

自定义查询

下一步就是要实现自定义查询的单词。需要序列化一个json只要构造一个结构体与json结构一一对应，然后使用json.Marshal就可以了。

type DictRequest struct {
   TransType string `json:"trans_type"`
   Source    string `json:"source"`
}

request := DictRequest{TransType: "en2zh", Source: "good"}
buf, err := json.Marshal(request)
if err != nil {
   log.Fatal(err)
}
var data = bytes.NewReader(buf)

解析response body

然后需要解析原网站的json，从巨大的结构中找到我们需要返回的值。这里采取的方法是将json反序列化到结构体中。我们还是使用代码生成工具

选择预览然后复制值

然后粘贴到代码生成工具中，然后选择转换-嵌套就可以生成对应的结构体，再复制到go中即可。

然后用json.Unmarshal将返回内容反序列化到结构体中，注意这里需要使用&。

	var dictResponse DictResponse
	err = json.Unmarshal(bodyText, &dictResponse)
	if err != nil {
		log.Fatal(err)
	}

打印结果

然后就可以找的我们需要的字段，并打印。

	fmt.Println(word, "UK:", dictResponse.Dictionary.Prons.En, "US:", dictResponse.Dictionary.Prons.En)
	for _, item := range dictResponse.Dictionary.Explanations {
		fmt.Println(item)
	}

完整代码

然后稍微修改下函数的主体，运用os.Args来获取想要查询的单词，整理完成之后完整的代码就是这样的了。

package main

import (
	"bytes"
	"encoding/json"
	"fmt"
	"io/ioutil"
	"log"
	"net/http"
	"os"
)

type DictRequest struct {
	TransType string `json:"trans_type"`
	Source    string `json:"source"`
	UserID    string `json:"user_id"`
}

type DictResponse struct {
	Rc   int `json:"rc"`
	Wiki struct {
		KnownInLaguages int `json:"known_in_laguages"`
		Description     struct {
			Source string      `json:"source"`
			Target interface{} `json:"target"`
		} `json:"description"`
		ID   string `json:"id"`
		Item struct {
			Source string `json:"source"`
			Target string `json:"target"`
		} `json:"item"`
		ImageURL  string `json:"image_url"`
		IsSubject string `json:"is_subject"`
		Sitelink  string `json:"sitelink"`
	} `json:"wiki"`
	Dictionary struct {
		Prons struct {
			EnUs string `json:"en-us"`
			En   string `json:"en"`
		} `json:"prons"`
		Explanations []string      `json:"explanations"`
		Synonym      []string      `json:"synonym"`
		Antonym      []string      `json:"antonym"`
		WqxExample   [][]string    `json:"wqx_example"`
		Entry        string        `json:"entry"`
		Type         string        `json:"type"`
		Related      []interface{} `json:"related"`
		Source       string        `json:"source"`
	} `json:"dictionary"`
}

func query(word string) {
	client := &http.Client{}
	// var data = strings.NewReader(`{"trans_type":"en2zh","source":word}`)
	request := DictRequest{TransType: "en2zh", Source: word}
	buf, err := json.Marshal(request)
	if err != nil {
		log.Fatal(err)
	}
	var data = bytes.NewReader(buf)
	req, err := http.NewRequest("POST", "https://api.interpreter.caiyunai.com/v1/dict", data)
	if err != nil {
		log.Fatal(err)
	}
	req.Header.Set("Connection", "keep-alive")
	req.Header.Set("DNT", "1")
	req.Header.Set("os-version", "")
	req.Header.Set("sec-ch-ua-mobile", "?0")
	req.Header.Set("User-Agent", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/99.0.4844.51 Safari/537.36")
	req.Header.Set("app-name", "xy")
	req.Header.Set("Content-Type", "application/json;charset=UTF-8")
	req.Header.Set("Accept", "application/json, text/plain, */*")
	req.Header.Set("device-id", "")
	req.Header.Set("os-type", "web")
	req.Header.Set("X-Authorization", "token:qgemv4jr1y38jyq6vhvi")
	req.Header.Set("Origin", "https://fanyi.caiyunapp.com")
	req.Header.Set("Sec-Fetch-Site", "cross-site")
	req.Header.Set("Sec-Fetch-Mode", "cors")
	req.Header.Set("Sec-Fetch-Dest", "empty")
	req.Header.Set("Referer", "https://fanyi.caiyunapp.com/")
	req.Header.Set("Accept-Language", "zh-CN,zh;q=0.9")
	req.Header.Set("Cookie", "_ym_uid=16456948721020430059; _ym_d=1645694872")
	resp, err := client.Do(req)
	if err != nil {
		log.Fatal(err)
	}
	defer resp.Body.Close()
	bodyText, err := ioutil.ReadAll(resp.Body)
	if err != nil {
		log.Fatal(err)
	}
	// fmt.Printf("%s\n", bodyText)
	if resp.StatusCode != 200 {
		log.Fatal("bad StatusCode:", resp.StatusCode, "body", string(bodyText))
	}
	var dictResponse DictResponse
	err = json.Unmarshal(bodyText, &dictResponse)
	if err != nil {
		log.Fatal(err)
	}
	// fmt.Printf("%#v\n", dictResponse)
	fmt.Println(word, "UK:", dictResponse.Dictionary.Prons.En, "US:", dictResponse.Dictionary.Prons.En)
	for _, item := range dictResponse.Dictionary.Explanations {
		fmt.Println(item)
	}
}

func main() {
	if len(os.Args) != 2 {
		fmt.Fprintf(os.Stderr, `usage: simpleDict WORD
example: simpleDict hello
		`)
		os.Exit(1)
	}
	word := os.Args[1]
	query(word)
}

命令行词典实现 | 青训营

抓包

自定义查询

解析response body

打印结果

完整代码