研究研究浏览器中的翻译组件

const hl = function (a, b) {
    let c = 0
    for (; c < b.length - 2; c += 3) {
        let d = b.charAt(c + 2)
        d = "a" <= d ? (d.charCodeAt(0) - 87) : Number(d)
        d = "+" == b.charAt(c + 1) ? (a >>> d) : (a << d)
        a = "+" == b.charAt(c) ? (a + d & 4294967295) : (a ^ d)
    }
    return a
}
const getCharCodeList = function (text) {
    let charCodeList = [], charCodeListIndex = 0
    for (let index = 0; index < text.length; index++) {
        let charCode = text.charCodeAt(index)
        if (128 > charCode) {
            charCodeList[charCodeListIndex++] = charCode
        } else {
            if (2048 > charCode) {
                charCodeList[charCodeListIndex++] = charCode >> 6 | 192
            } else  {
                if (55296 == (charCode & 64512) && index + 1 < text.length && 56320 == (text.charCodeAt(index + 1) & 64512)) {
                    charCode = 65536 + ((charCode & 1023) << 10) + (text.charCodeAt(++index) & 1023)
                    charCodeList[charCodeListIndex++] = charCode >> 18 | 240
                    charCodeList[charCodeListIndex++] = charCode >> 12 & 63 | 128
                } else {
                    charCodeList[charCodeListIndex++] = charCode >> 12 | 224
                }
                charCodeList[charCodeListIndex++] = charCode >> 6 & 63 | 128
            }
            charCodeList[charCodeListIndex++] = charCode & 63 | 128
        }
    }
    return charCodeList
}

//https://translate.google.com/translate_a/element.js?cb=gtElInit&hl=zh-CN&client=wt c._ctkk
const GoogleTranslateTk = (originalText = '', tkk = [464385, 3806605782]) => {
    //from https://translate.googleapis.com/_/translate_http/_/js/k=translate_http.tr.zh_CN.D7QeyoDkDhY.O/d=1/exm=el_conf/ed=1/rs=AN8SPfq20C5s1IToiD2r2PKoyh-SRQysPA/m=el_main
    let text
    if (originalText instanceof Array) {
        text = JSON.parse(JSON.stringify(originalText)).join('')
    } else {
        text = originalText
    }
    const charCodeList = getCharCodeList(text)
    let a = tkk[0]
    for (const charCode of charCodeList) {
        a += charCode
        a = hl(a, '+-a^+6')
    }
    a = hl(a, '+-3^+b+-f')
    a ^= tkk[1] ? tkk[1] + 0 : 0
    if (a < 0) {
        a = (a & 2147483647) + 2147483648
    }
    a %= 1E6
    return a.toString() + '.' + (a ^ tkk[0])
}

const jwt = await axios.get('https://edge.microsoft.com/translate/auth')

const content = await axios.post(`https://api.cognitive.microsofttranslator.com/translate?from=&to=${target}&api-version=3.0&includeSentenceLength=true`, JSON.stringify(textArray.map(text => ({Text: text}))), {
    headers: {
        'content-type': 'application/json',
        authorization: `Bearer ${jwt}`
    }
})

lang = predictFromCLD3()//...

//from yandex browser
const generateSid = () => {
    var t, e, n = Date.now().toString(16)
    for (t = 0, e = 16 - n.length; t < e; t++) {
        n += Math.floor(16 * Math.random()).toString(16)
    }
    return n
}
const supportedLanguageList = ["af","sq","am","ar","hy","az","ba","eu","be","bn","bs","bg","my","ca","ceb","zh","cv","hr","cs","da","nl","sjn","emj","en","eo","et","fi","fr","gl","ka","de","el","gu","ht","he","mrj","hi","hu","is","id","ga","it","ja","jv","kn","kk","kazlat","km","ko","ky","lo","la","lv","lt","lb","mk","mg","ms","ml","mt","mi","mr","mhr","mn","ne","no","pap","fa","pl","pt","pt-BR","pa","ro","ru","gd","sr","si","sk","sl","es","su","sw","sv","tl","tg","ta","tt","te","th","tr","udm","uk","ur","uz","uzbcyr","vi","cy","xh","sah","yi","zu"]

let query = new URLSearchParams({
    translateMode: 'context',
    context_title: 'Twitter Monitor Translator',//自定义的标题，可以自己改
    id: `${generateSid()}-0-0`,
    srv: 'yabrowser',
    lang: `${lang}-${target}`,
    format: 'html',
    options: 2
})
const content = await axios.get('https://browser.translate.yandex.net/api/v1/tr.json/translate?' + query.toString() + '&text=' + (textArray.map(text => encodeURIComponent(text)).join('&text=')))

const body = new FormData()
body.append('S-Param', JSON.stringify({
    from_lang: "auto",
    to_lang: target,
    trans_frag: textArray.map(text => ({text}))
}))
const content = await (await fetch('https://go.ie.sogou.com/qbpc/translate', {method: 'POST', body})).json()

const gtk = [320305, 131321201]//应该跟Google差不多，是永久有效的，最好还是实时获取啦

const baiduPrefix = (text) => {
    let textArray = [...text]
    if (textArray.length > 30) {
        return textArray.slice(0, 10).join("") + textArray.slice(Math.floor(textArray.length / 2) - 5, Math.floor(textArray.length / 2) + 5).join("") + textArray.slice(-10).join("")
    }
    return text
}

const sign = GoogleTranslateTk(baiduPrefix(text), gtk)