在线词典

功能：输入一个英文单词，命令行中会显示这个单词的翻译。实现方法是Go发送HTTP请求给调用第三方的API得到响应，解析相关JSON结果，并将其打印出来。

抓第三方包

这里使用的是谷歌浏览器，第三方是百度翻译

页面右键点击检查，或者使用快捷键F12打开浏览器开发者人员模式。

在翻译框内输入一个英文单词，例如hello。点击Network、Fetch/XHR。寻找翻译结果。此例的v2transapi?from=en&to=zh存储了查找的结果。

Go发送请求

利用工具快捷生成

为了实现在线词典，我们要实现在go中发送这个http请求并得到结果。自己构建一个复杂请求十分麻烦，需要在请求的时候设置header参数、cookie之类的数据。所以我们可以用一些工具帮助我们生成请求。这里使用curlconverter工具，帮助我们快捷的把curl转为go请求。

右键要发送的请求，点击copy，点击copy as curl(bash)。将结果复制到curlconverter中。

得到的结果就是要发送的请求。将其复制到建立的go项目中运行，可以顺利输出json结果。

请求通用化

生成的请求是特定单词的请求，我们要把它结构化、通用化。

//百度翻译请求参数
var data = strings.NewReader(`from=en&to=zh&query=hello&transtype=realtime&simple_means_flag=3&sign=54706.276099&token=a28f71253ec1bea6d4ab1d9b330ce8f7&domain=common&ts=1691988345777`)

//彩玉小译请求参数
var data = strings.NewReader(`{"trans_type":"en2zh","source":"good"}`)

这里的http请求头是FormData格式。青训营课程示例（彩云小译）是Payload格式。区别详见这篇介绍。JSON序列化在FormData数据参数试验不成功，目前没去仔细分析出原因，但是尝试了另一种结构化——map，成功得到结果。

package main

import (
	"encoding/json"
	"fmt"
	"io"
	"log"
	"net/http"
	"net/url"
	"strings"
)

var Data map[string]string = make(map[string]string)

func query(word string, sign string) {
	client := &http.Client{}

	Data["from"] = "en"
	Data["to"] = "zh"
	Data["query"] = word
	Data["transtype"] = "realtime"
	Data["simple_means_flag"] = "3"
	Data["sign"] = sign
	Data["token"] = "a28f71253ec1bea6d4ab1d9b330ce8f7"
	Data["domain"] = "common"
	Data["ts"] = "1691901515065"

	DataUrlVal := url.Values{}
	for key, val := range Data {
		DataUrlVal.Add(key, val)
	}

	req, err := http.NewRequest("POST", "https://fanyi.baidu.com/v2transapi?from=en&to=zh", strings.NewReader(DataUrlVal.Encode()))
	if err != nil {
		log.Fatal(err)
	}

	if err != nil {
		log.Fatal(err)
	}
	req.Header.Set("Accept", "*/*")
	req.Header.Set("Accept-Language", "zh-CN,zh;q=0.9,en;q=0.8")
	req.Header.Set("Acs-Token", "1691901449301_1691901515081_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")
	req.Header.Set("Connection", "keep-alive")
	req.Header.Set("Content-Type", "application/x-www-form-urlencoded; charset=UTF-8")
	req.Header.Set("Cookie", "BIDUPSID=300D84227A88EAAB7DFF7BD2266C8E8A; PSTM=1658741149; HISTORY_SWITCH=1; REALTIME_TRANS_SWITCH=1; SOUND_PREFER_SWITCH=1; SOUND_SPD_SWITCH=1; FANYI_WORD_SWITCH=1; BDUSS=g4Z05WeVBacFhxTW1tMGtycjU5dDRYdmxKalIzMzd-c0Z6OUdEQVZOMjAyaDFqSVFBQUFBJCQAAAAAAAAAAAEAAAA40GI3xr23sbuowuS-oQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAALRN9mK0TfZiZl; BDUSS_BFESS=g4Z05WeVBacFhxTW1tMGtycjU5dDRYdmxKalIzMzd-c0Z6OUdEQVZOMjAyaDFqSVFBQUFBJCQAAAAAAAAAAAEAAAA40GI3xr23sbuowuS-oQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAALRN9mK0TfZiZl; BAIDUID=BE546934C07F41B344C7FF111709EED1:FG=1; BDORZ=B490B5EBF6F3CD402E515D22BCDA1598; BA_HECTOR=24052h0haha4252h21842l8v1idepsj1p; ZFY=1jfTQWDDNK0R3a80FZY7j0yFOv2GTfrOZl:Auxl:Bx:BC8:C; BAIDUID_BFESS=BE546934C07F41B344C7FF111709EED1:FG=1; BDRCVFR[feWj1Vr5u3D]=I67x6TjHwwYf0; PSINO=7; delPer=0; Hm_lvt_64ecd82404c51e03dc91cb9e8c025574=1689411682,1690620849,1691897537; Hm_lpvt_64ecd82404c51e03dc91cb9e8c025574=1691897537; ab_sr=1.0.1_OTMxNzc0ZTAxNDU5YTVjZjMxMDdjYjY1MWU3Zjk2ZTJmOWIyOTM0N2JjYTE2Y2E0Y2EwOGM5N2NjMTY5ZDhmYzcxMWZhYjFmYjk4ZTAwNmVlMTg5MDBhNDQwZmYzZjI4Y2EyYTZlMmNlZmQ1M2UyOTg5NzRhOGQ4ZWUzNGJjMTRmYzBhNzJjN2Q4MWNjNTY2MWIzYmJjMWE0ZjY3OWRmMzYzYmRkODJiZWQxODUwYmQ1ZDQzZDlkYjk4OTExNTNh; BCLID=9047179323281517891; BCLID_BFESS=9047179323281517891; BDSFRCVID=t9COJeC62l10L_ofdbuihM3WbKDpfojTH6aopYqdAQwgA-wl0ALKEG0PIf8g0K4MyP7UogKK3gOTH4PF_2uxOjjg8UtVJeC6EG0Ptf8g0f5; BDSFRCVID_BFESS=t9COJeC62l10L_ofdbuihM3WbKDpfojTH6aopYqdAQwgA-wl0ALKEG0PIf8g0K4MyP7UogKK3gOTH4PF_2uxOjjg8UtVJeC6EG0Ptf8g0f5; H_BDCLCKID_SF=tbKHoD8htC83eRjk2tu_2t40bMQyetJyaR3JVlOvWJ5TMCo1Dj3dBP4EbM5ta4vutavaahbM5J78ShPC-tn2WJ_OLJQfKM_LbKtj5lRc3l02VhTIe-t2yT0I2J0fL4RMW20e0h7mWIbmsxA45J7cM4IseboJLfT-0bc4KKJxbnLWeIJIjj6jK4JKja_JtjjP; H_BDCLCKID_SF_BFESS=tbKHoD8htC83eRjk2tu_2t40bMQyetJyaR3JVlOvWJ5TMCo1Dj3dBP4EbM5ta4vutavaahbM5J78ShPC-tn2WJ_OLJQfKM_LbKtj5lRc3l02VhTIe-t2yT0I2J0fL4RMW20e0h7mWIbmsxA45J7cM4IseboJLfT-0bc4KKJxbnLWeIJIjj6jK4JKja_JtjjP; H_PS_PSSID=36561_39109_39115_39097_39038_38917_26350_39138_39137_39101")
	req.Header.Set("Origin", "https://fanyi.baidu.com")
	req.Header.Set("Referer", "https://fanyi.baidu.com/")
	req.Header.Set("Sec-Fetch-Dest", "empty")
	req.Header.Set("Sec-Fetch-Mode", "cors")
	req.Header.Set("Sec-Fetch-Site", "same-origin")
	req.Header.Set("User-Agent", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/115.0.0.0 Safari/537.36")
	req.Header.Set("X-Requested-With", "XMLHttpRequest")
	req.Header.Set("sec-ch-ua", `"Not/A)Brand";v="99", "Google Chrome";v="115", "Chromium";v="115"`)
	req.Header.Set("sec-ch-ua-mobile", "?0")
	req.Header.Set("sec-ch-ua-platform", `"Windows"`)
	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)
}

func main() {
	word := "hello"
	sign := "54706.276099"
	query(word, sign)
}

Mark一下payload格式的JSON序列化，和此例子无关。

type DictRequest struct {
	TransType string `json:"trans_type"`
	Source    string `json:"source"`
	UserID    string `json:"user_id"`
}
//参数结构化
request := DictRequest{TransType: "en2zh", Source: "good"}
buf, err := json.Marshal(request) //go结构体编码为json
if err != nil {
        log.Fatal(err)
}
var data = bytes.NewReader(buf) //json.Marshal返回byte数组

结果分析

生成请求得到的response body需要经过解析得到我们要的结果。通常可以构建一个与response一一对应的结构体。把json结果反序列化到结构体里面。这个步骤同样十分复杂，我们也可以借助oktools工具，把response的json轻松转为结构体形式。

首先复制百度翻译的response的json，然后把它粘贴至工具。

点击转换-嵌套，把结果复制到go代码里。

搜索的结果有很多，包括简明释义、牛津词典、柯林斯词典等等，我们想得到简明释义的结果。这部分结果在preview中dict_result.simple_means.symbols路径下。我们只展示需要的结果。

package main

import (
	"encoding/json"
	"fmt"
	"io"
	"log"
	"net/http"
	"net/url"
	"strings"
)

var Data map[string]string = make(map[string]string)

type DictResponse struct {
	TransResult struct {
		Data []struct {
			Dst string `json:"dst"`
			Src string `json:"src"`
		} `json:"data"`
		From     string `json:"from"`
		To       string `json:"to"`
		Status   int    `json:"status"`
		Type     int    `json:"type"`
		Phonetic []struct {
			SrcStr string `json:"src_str"`
			TrgStr string `json:"trg_str"`
		} `json:"phonetic"`
	} `json:"trans_result"`
	DictResult struct {
		Edict struct {
			Item []struct {
				TrGroup []struct {
					Tr          []string `json:"tr"`
					Example     []string `json:"example"`
					SimilarWord []string `json:"similar_word"`
				} `json:"tr_group"`
				Pos string `json:"pos"`
			} `json:"item"`
			Word string `json:"word"`
		} `json:"edict"`
		From        string `json:"from"`
		SimpleMeans struct {
			WordName  string   `json:"word_name"`
			From      string   `json:"from"`
			WordMeans []string `json:"word_means"`
			Tags      struct {
				Core  []string `json:"core"`
				Other []string `json:"other"`
			} `json:"tags"`
			Exchange struct {
				WordPl []string `json:"word_pl"`
			} `json:"exchange"`
			Symbols []struct {
				PhEn  string `json:"ph_en"`
				PhAm  string `json:"ph_am"`
				Parts []struct {
					Part  string   `json:"part"`
					Means []string `json:"means"`
				} `json:"parts"`
				PhOther string `json:"ph_other"`
			} `json:"symbols"`
		} `json:"simple_means"`
		Common struct {
			Text string `json:"text"`
		} `json:"common"`
		Collins struct {
			Entry []struct {
				Type    string `json:"type"`
				EntryID string `json:"entry_id"`
				Value   []struct {
					MeanType []struct {
						InfoType string `json:"info_type"`
						InfoID   string `json:"info_id"`
						Example  []struct {
							ExampleID string `json:"example_id"`
							TtsSize   string `json:"tts_size"`
							Tran      string `json:"tran"`
							Ex        string `json:"ex"`
							TtsMp3    string `json:"tts_mp3"`
						} `json:"example,omitempty"`
						Posc []struct {
							Tran    string `json:"tran"`
							PoscID  string `json:"posc_id"`
							Example []struct {
								ExampleID string `json:"example_id"`
								Tran      string `json:"tran"`
								Ex        string `json:"ex"`
								TtsMp3    string `json:"tts_mp3"`
							} `json:"example"`
							Def string `json:"def"`
						} `json:"posc,omitempty"`
					} `json:"mean_type"`
					Gramarinfo []struct {
						Tran  string `json:"tran"`
						Type  string `json:"type"`
						Label string `json:"label"`
					} `json:"gramarinfo"`
					Tran   string `json:"tran"`
					Def    string `json:"def"`
					MeanID string `json:"mean_id"`
					Posp   []struct {
						Label string `json:"label"`
					} `json:"posp"`
				} `json:"value"`
			} `json:"entry"`
			WordName      string `json:"word_name"`
			WordID        string `json:"word_id"`
			WordEmphasize string `json:"word_emphasize"`
			Frequence     string `json:"frequence"`
		} `json:"collins"`
		Lang   string `json:"lang"`
		Oxford struct {
			Entry []struct {
				Tag  string `json:"tag"`
				Name string `json:"name"`
				Data []struct {
					Tag  string `json:"tag"`
					Data []struct {
						Tag  string `json:"tag"`
						Data []struct {
							Tag  string `json:"tag"`
							Data []struct {
								Tag  string `json:"tag"`
								Data []struct {
									Tag    string `json:"tag"`
									EnText string `json:"enText,omitempty"`
									ChText string `json:"chText,omitempty"`
									G      string `json:"g,omitempty"`
									Data   []struct {
										Text      string `json:"text"`
										HoverText string `json:"hoverText"`
									} `json:"data,omitempty"`
								} `json:"data"`
							} `json:"data"`
						} `json:"data,omitempty"`
						P     string `json:"p,omitempty"`
						PText string `json:"p_text,omitempty"`
						N     string `json:"n,omitempty"`
						Xt    string `json:"xt,omitempty"`
					} `json:"data"`
				} `json:"data"`
			} `json:"entry"`
			Unbox []struct {
				Tag  string `json:"tag"`
				Type string `json:"type"`
				Name string `json:"name"`
				Data []struct {
					Tag     string `json:"tag"`
					Text    string `json:"text,omitempty"`
					Words   string `json:"words,omitempty"`
					Outdent string `json:"outdent,omitempty"`
					Data    []struct {
						Tag    string `json:"tag"`
						EnText string `json:"enText"`
						ChText string `json:"chText"`
					} `json:"data,omitempty"`
				} `json:"data"`
			} `json:"unbox"`
		} `json:"oxford"`
		BaiduPhrase []struct {
			Tit   []string `json:"tit"`
			Trans []string `json:"trans"`
		} `json:"baidu_phrase"`
		Sanyms []struct {
			Tit  string `json:"tit"`
			Type string `json:"type"`
			Data []struct {
				P string   `json:"p"`
				D []string `json:"d"`
			} `json:"data"`
		} `json:"sanyms"`
		QueryExplainVideo struct {
			ID           int    `json:"id"`
			UserID       string `json:"user_id"`
			UserName     string `json:"user_name"`
			UserPic      string `json:"user_pic"`
			Query        string `json:"query"`
			Direction    string `json:"direction"`
			Type         string `json:"type"`
			Tag          string `json:"tag"`
			Detail       string `json:"detail"`
			Status       string `json:"status"`
			SearchType   string `json:"search_type"`
			FeedURL      string `json:"feed_url"`
			Likes        string `json:"likes"`
			Plays        string `json:"plays"`
			CreatedAt    string `json:"created_at"`
			UpdatedAt    string `json:"updated_at"`
			DuplicateID  string `json:"duplicate_id"`
			RejectReason string `json:"reject_reason"`
			CoverURL     string `json:"coverUrl"`
			VideoURL     string `json:"videoUrl"`
			ThumbURL     string `json:"thumbUrl"`
			VideoTime    string `json:"videoTime"`
			VideoType    string `json:"videoType"`
		} `json:"queryExplainVideo"`
	} `json:"dict_result"`
	LijuResult struct {
		Double string   `json:"double"`
		Tag    []string `json:"tag"`
		Single string   `json:"single"`
	} `json:"liju_result"`
	Logid int `json:"logid"`
}

func query(word string, sign string) {
	client := &http.Client{}

	Data["from"] = "en"
	Data["to"] = "zh"
	Data["query"] = word
	Data["transtype"] = "realtime"
	Data["simple_means_flag"] = "3"
	Data["sign"] = sign
	Data["token"] = "a28f71253ec1bea6d4ab1d9b330ce8f7"
	Data["domain"] = "common"
	Data["ts"] = "1691901515065"

	DataUrlVal := url.Values{}
	for key, val := range Data {
		DataUrlVal.Add(key, val)
	}

	req, err := http.NewRequest("POST", "https://fanyi.baidu.com/v2transapi?from=en&to=zh", strings.NewReader(DataUrlVal.Encode()))
	if err != nil {
		log.Fatal(err)
	}

	if err != nil {
		log.Fatal(err)
	}
	req.Header.Set("Accept", "*/*")
	req.Header.Set("Accept-Language", "zh-CN,zh;q=0.9,en;q=0.8")
	req.Header.Set("Acs-Token", "1691901449301_1691901515081_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")
	req.Header.Set("Connection", "keep-alive")
	req.Header.Set("Content-Type", "application/x-www-form-urlencoded; charset=UTF-8")
	req.Header.Set("Cookie", "BIDUPSID=300D84227A88EAAB7DFF7BD2266C8E8A; PSTM=1658741149; HISTORY_SWITCH=1; REALTIME_TRANS_SWITCH=1; SOUND_PREFER_SWITCH=1; SOUND_SPD_SWITCH=1; FANYI_WORD_SWITCH=1; BDUSS=g4Z05WeVBacFhxTW1tMGtycjU5dDRYdmxKalIzMzd-c0Z6OUdEQVZOMjAyaDFqSVFBQUFBJCQAAAAAAAAAAAEAAAA40GI3xr23sbuowuS-oQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAALRN9mK0TfZiZl; BDUSS_BFESS=g4Z05WeVBacFhxTW1tMGtycjU5dDRYdmxKalIzMzd-c0Z6OUdEQVZOMjAyaDFqSVFBQUFBJCQAAAAAAAAAAAEAAAA40GI3xr23sbuowuS-oQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAALRN9mK0TfZiZl; BAIDUID=BE546934C07F41B344C7FF111709EED1:FG=1; BDORZ=B490B5EBF6F3CD402E515D22BCDA1598; BA_HECTOR=24052h0haha4252h21842l8v1idepsj1p; ZFY=1jfTQWDDNK0R3a80FZY7j0yFOv2GTfrOZl:Auxl:Bx:BC8:C; BAIDUID_BFESS=BE546934C07F41B344C7FF111709EED1:FG=1; BDRCVFR[feWj1Vr5u3D]=I67x6TjHwwYf0; PSINO=7; delPer=0; Hm_lvt_64ecd82404c51e03dc91cb9e8c025574=1689411682,1690620849,1691897537; Hm_lpvt_64ecd82404c51e03dc91cb9e8c025574=1691897537; ab_sr=1.0.1_OTMxNzc0ZTAxNDU5YTVjZjMxMDdjYjY1MWU3Zjk2ZTJmOWIyOTM0N2JjYTE2Y2E0Y2EwOGM5N2NjMTY5ZDhmYzcxMWZhYjFmYjk4ZTAwNmVlMTg5MDBhNDQwZmYzZjI4Y2EyYTZlMmNlZmQ1M2UyOTg5NzRhOGQ4ZWUzNGJjMTRmYzBhNzJjN2Q4MWNjNTY2MWIzYmJjMWE0ZjY3OWRmMzYzYmRkODJiZWQxODUwYmQ1ZDQzZDlkYjk4OTExNTNh; BCLID=9047179323281517891; BCLID_BFESS=9047179323281517891; BDSFRCVID=t9COJeC62l10L_ofdbuihM3WbKDpfojTH6aopYqdAQwgA-wl0ALKEG0PIf8g0K4MyP7UogKK3gOTH4PF_2uxOjjg8UtVJeC6EG0Ptf8g0f5; BDSFRCVID_BFESS=t9COJeC62l10L_ofdbuihM3WbKDpfojTH6aopYqdAQwgA-wl0ALKEG0PIf8g0K4MyP7UogKK3gOTH4PF_2uxOjjg8UtVJeC6EG0Ptf8g0f5; H_BDCLCKID_SF=tbKHoD8htC83eRjk2tu_2t40bMQyetJyaR3JVlOvWJ5TMCo1Dj3dBP4EbM5ta4vutavaahbM5J78ShPC-tn2WJ_OLJQfKM_LbKtj5lRc3l02VhTIe-t2yT0I2J0fL4RMW20e0h7mWIbmsxA45J7cM4IseboJLfT-0bc4KKJxbnLWeIJIjj6jK4JKja_JtjjP; H_BDCLCKID_SF_BFESS=tbKHoD8htC83eRjk2tu_2t40bMQyetJyaR3JVlOvWJ5TMCo1Dj3dBP4EbM5ta4vutavaahbM5J78ShPC-tn2WJ_OLJQfKM_LbKtj5lRc3l02VhTIe-t2yT0I2J0fL4RMW20e0h7mWIbmsxA45J7cM4IseboJLfT-0bc4KKJxbnLWeIJIjj6jK4JKja_JtjjP; H_PS_PSSID=36561_39109_39115_39097_39038_38917_26350_39138_39137_39101")
	req.Header.Set("Origin", "https://fanyi.baidu.com")
	req.Header.Set("Referer", "https://fanyi.baidu.com/")
	req.Header.Set("Sec-Fetch-Dest", "empty")
	req.Header.Set("Sec-Fetch-Mode", "cors")
	req.Header.Set("Sec-Fetch-Site", "same-origin")
	req.Header.Set("User-Agent", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/115.0.0.0 Safari/537.36")
	req.Header.Set("X-Requested-With", "XMLHttpRequest")
	req.Header.Set("sec-ch-ua", `"Not/A)Brand";v="99", "Google Chrome";v="115", "Chromium";v="115"`)
	req.Header.Set("sec-ch-ua-mobile", "?0")
	req.Header.Set("sec-ch-ua-platform", `"Windows"`)
	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)

	var dictResponse DictResponse
	err = json.Unmarshal(bodyText, &dictResponse)
	if err != nil {
		log.Fatal(err)
	}
	// fmt.Printf("%#v\n", dictResponse)

	fmt.Println(word, "UK/", dictResponse.DictResult.SimpleMeans.Symbols[0].PhEn, "US/", dictResponse.DictResult.SimpleMeans.Symbols[0].PhAm)
	for _, item := range dictResponse.DictResult.SimpleMeans.Symbols[0].Parts {
		fmt.Println(item)
	}

}

func main() {
	word := "hello"
	sign := "54706.276099"
	query(word, sign)
}

运行得到：

要得到其他词语的意思，我们需要把word和sign通用化，word为用户输入，sign是通过word计算出来的。数据采集--某度翻译全流程这篇文章记载了怎么计算sign的过程，暂时没时间通用化，先mark一下。

或者使用开发人员百度翻译API接入方法也可以实现，但是请求命令和结果与此例页面完全不同，sign得到方法更简单一些，go中的md5能帮助进行加密。可看看开发文档试验。

Go语言基础实践：在线词典|青训营

在线词典

抓第三方包

Go发送请求

结果分析