简单词典实现
源代码： 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{} 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", "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", "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", "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) } 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.Println(word, "UK:", dictResponse.Dictionary.Prons.En, "US:", dictResponse.Dictionary.Prons.EnUs) 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)
}
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)
}
若输入不符合需求的情况下给出正确例子 在输入正确后进行单词的查询
client := &http.Client{}
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)
}
对彩云词典网站发出http请求，并且获取返回的json，但由于返回的数据什么都有，所以要对response boby进行解析 我们这里使用oktool.net/json2go 进行转换 然后获得了如下一个结构体用来解析存储response body
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"`
}
现在我们已经对完成了解析，下面只需要打印输出我们需要的内容即可
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.Println(word, "UK:", dictResponse.Dictionary.Prons.En, "US:", dictResponse.Dictionary.Prons.EnUs)
for _, item := range dictResponse.Dictionary.Explanations {
fmt.Println(item)
}
如上，使用for range 打印整个结构词典中解释就好，现在就算完成了一个简单词典 运行截图如下：
