C# - 从任何字符串中查找 unicode 代码点的代理项对的正则表达式？
C# - Regular expression to find a surrogate pair of a unicode codepoint from any string?
我正在尝试解析可能包含表情符号的消息。可以接收的示例消息如下所示：
{"type":"chat","msg":"UserName:\u00a0\ud83d\ude0b \n"}
应该匹配的是单个字符\u00a0，成对的\ud83d\ude0b。
我有正则表达式可以提取单个代码，但不能成对匹配完整的表情符号：
\u[a-z0-9]{4}
是否有一种干净的方法来解释句子中的 any/multiple 表情符号，以便我可以用我拥有的功能替换代理对？谢谢！
编辑：这是我将与正则表达式一起使用的函数
string ConvertToUnicode(string SurrogatePair)
{
string returnValue = "";
for (var i = 0; i < SurrogatePair.Length; i += char.IsSurrogatePair(SurrogatePair, i) ? 2 : 1)
{
var codepoint = char.ConvertToUtf32(SurrogatePair, i);
returnValue = String.Format("U+{0:X4}", codepoint);
}
return returnValue;
}
我有一个字典，其中键是 unicode，值是对表情符号图像的引用，因此我可以在 Unity UI 元素中显示它。
编辑 2：
由于这个问题有点过于宽泛，我将具体说明我要完成的任务。我正在通过 websocket 连接从服务器接收 json 消息。此消息显示在 Unity 面板中，其中每条消息都是文本网格专业文本对象。发送表情符号时，消息显示与上面的示例消息类似，唯一的变化是代理对根据发送的表情符号发生变化。为了将相应的表情符号图像正确插入到文本网格 pro 对象中，我需要获取指向正确表情符号的精灵图集 id。由于我没有手动将精灵插入图集，而是从拼接的精灵 sheet 中读取它们，因此访问每个图像的唯一方法是通过它们的索引 ID。为了通过 id 正确识别图集中的表情符号，我创建了一个字典，按它们在 sprite sheet 中出现的顺序插入 Unicode 作为键，其中值是图集中的索引。我现在要做的是使用正则表达式解析接收到的表情符号消息，将解析后的数据发送到我上面发布的函数中，将其转换为 Unicode 值，然后从字典中检索正确的 ID，最后插入表情符号最初是在前端输入的。如果有更好的方法，请告诉我，但根据我所做的研究，将图像插入 Unity 文本对象的唯一有效方法就是我的方法。因此，我需要从消息中获取代理对。
编辑 3：
如果其他人偶然发现了这个问题，我将留下我想出的解决方案，用于从 html 网站获取表情符号，通过 websocket 服务器进入 Unity textmeshpro。
这是一个 google spreadsheet 包含十六进制值和精灵 sheet 我曾经在 Unity 中创建字典/精灵图集：https://docs.google.com/spreadsheets/d/1XQY1n9cA1hx_PnsXoisxjanZRiQG0gd25VYEmk1W7mE/edit?usp=sharing.
然后我使用了一个可以在这里找到的库：https://github.com/aaronpk/emoji-detector-php
它可以解析字符串并找到表情符号。我将正则表达式替换为下面由 sln 提供的正则表达式，然后将主脚本调整为仅 return 返回消息文本，但将表情符号替换为包裹在定界符中的十六进制，我可以在 Unity 端使用正则表达式找到.
<?php
namespace Emoji;
define('LONGEST_EMOJI', 8);
function detect_emoji($string) {
// Find all the emoji in the input string
$prevencoding = mb_internal_encoding();
mb_internal_encoding('UTF-8');
$data = array();
$test = $string;
static $map;
if(!isset($map))
$map = _load_map();
static $regexp;
if(!isset($regexp))
$regexp = _load_regexp();
if(preg_match_all($regexp, $string, $matches)) {
foreach($matches[0] as $ch) {
$points = array();
for($i=0; $i<mb_strlen($ch); $i++) {
$points[] = strtoupper(dechex(uniord(mb_substr($ch, $i, 1))));
}
$hexstr = implode('-', $points);
$theMatch = $string.exec($ch);
$test = substr_replace($test, "[[[[".$hexstr."]]]]", strpos($test, $ch), strlen($ch));
}
}
if($prevencoding)
mb_internal_encoding($prevencoding);
return $test;
}
function _load_map() {
return json_decode(file_get_contents(dirname(__FILE__).'/map.json'), true);
}
function _load_regexp() {
return '/(?:' . json_decode(file_get_contents(dirname(__FILE__).'/regexp.json')) . ')/u';
}
function uniord($c) {
$ord0 = ord($c[0]); if ($ord0>=0 && $ord0<=127) return $ord0;
$ord1 = ord($c[1]); if ($ord0>=192 && $ord0<=223) return ($ord0-192)*64 + ($ord1-128);
$ord2 = ord($c[2]); if ($ord0>=224 && $ord0<=239) return ($ord0-224)*4096 + ($ord1-128)*64 + ($ord2-128);
$ord3 = ord($c[3]); if ($ord0>=240 && $ord0<=247) return ($ord0-240)*262144 + ($ord1-128)*4096 + ($ord2-128)*64 + ($ord3-128);
return false;
}
要在我的服务器脚本中调用它，我只需添加：
include("src/Emoji.php");
在我的脚本顶部，按如下方式调用函数：
$message = Emoji\detect_emoji($message);
我确保这只发送到我的 Unity 客户端，因为我将它们的 resourceId 存储在服务器代码中。
在 Unity 端，为了找到需要替换的表情符号，我使用了：
string emojiPattern = @"(?<=\[\[\[\[).[^\]\]\]\]]*";
MatchCollection emojiMatch = Regex.Matches(messageString, emojiPattern);
for(int x = 0; x < emojiMatch.Count; x++)
{
messageString = messageString.Replace("[[[[" + emojiMatch[x].Value + "]]]]", "<sprite=" + emojiDictionary[emojiMatch[x].Value.ToLower()].ToString() + ">");
}
作为文本元素，我实例化的是一个文本网格专业文本 GUI 元素，它能够将其转换为我使用 sprite sheet 制作的 sprite atlas 中的图像.希望这对以后的人有所帮助！
用于查找的完整 C# 正则表达式 any/all V12 表情符号
[#*0-9]\uFE0F\u20E3|[\u00A9\u00AE\u203C\u2049\u2122\u2139\u2194-\u2199\u21A9\u21AA\u231A\u231B\u2328\u23CF\u23E9-\u23F3\u23F8-\u23FA\u24C2\u25AA\u25AB\u25B6\u25C0\u25FB-\u25FE\u2600-\u2604\u260E\u2611\u2614\u2615\u2618]|\u261D(?:\uD83C[\uDFFB-\uDFFF])?|[\u2620\u2622\u2623\u2626\u262A\u262E\u262F\u2638-\u263A\u2640\u2642\u2648-\u2653\u265F\u2660\u2663\u2665\u2666\u2668\u267B\u267E\u267F\u2692-\u2697\u2699\u269B\u269C\u26A0\u26A1\u26AA\u26AB\u26B0\u26B1\u26BD\u26BE\u26C4\u26C5\u26C8\u26CE\u26CF\u26D1\u26D3\u26D4\u26E9\u26EA\u26F0-\u26F5\u26F7\u26F8]|\u26F9(?:\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?|\uFE0F\u200D[\u2640\u2642]\uFE0F)?|[\u26FA\u26FD\u2702\u2705\u2708\u2709]|[\u270A-\u270D](?:\uD83C[\uDFFB-\uDFFF])?|[\u270F\u2712\u2714\u2716\u271D\u2721\u2728\u2733\u2734\u2744\u2747\u274C\u274E\u2753-\u2755\u2757\u2763\u2764\u2795-\u2797\u27A1\u27B0\u27BF\u2934\u2935\u2B05-\u2B07\u2B1B\u2B1C\u2B50\u2B55\u3030\u303D\u3297\u3299]|\uD83C(?:[\uDC04\uDCCF\uDD70\uDD71\uDD7E\uDD7F\uDD8E\uDD91-\uDD9A]|\uDDE6\uD83C[\uDDE8-\uDDEC\uDDEE\uDDF1\uDDF2\uDDF4\uDDF6-\uDDFA\uDDFC\uDDFD\uDDFF]|\uDDE7\uD83C[\uDDE6\uDDE7\uDDE9-\uDDEF\uDDF1-\uDDF4\uDDF6-\uDDF9\uDDFB\uDDFC\uDDFE\uDDFF]|\uDDE8\uD83C[\uDDE6\uDDE8\uDDE9\uDDEB-\uDDEE\uDDF0-\uDDF5\uDDF7\uDDFA-\uDDFF]|\uDDE9\uD83C[\uDDEA\uDDEC\uDDEF\uDDF0\uDDF2\uDDF4\uDDFF]|\uDDEA\uD83C[\uDDE6\uDDE8\uDDEA\uDDEC\uDDED\uDDF7-\uDDFA]|\uDDEB\uD83C[\uDDEE-\uDDF0\uDDF2\uDDF4\uDDF7]|\uDDEC\uD83C[\uDDE6\uDDE7\uDDE9-\uDDEE\uDDF1-\uDDF3\uDDF5-\uDDFA\uDDFC\uDDFE]|\uDDED\uD83C[\uDDF0\uDDF2\uDDF3\uDDF7\uDDF9\uDDFA]|\uDDEE\uD83C[\uDDE8-\uDDEA\uDDF1-\uDDF4\uDDF6-\uDDF9]|\uDDEF\uD83C[\uDDEA\uDDF2\uDDF4\uDDF5]|\uDDF0\uD83C[\uDDEA\uDDEC-\uDDEE\uDDF2\uDDF3\uDDF5\uDDF7\uDDFC\uDDFE\uDDFF]|\uDDF1\uD83C[\uDDE6-\uDDE8\uDDEE\uDDF0\uDDF7-\uDDFB\uDDFE]|\uDDF2\uD83C[\uDDE6\uDDE8-\uDDED\uDDF0-\uDDFF]|\uDDF3\uD83C[\uDDE6\uDDE8\uDDEA-\uDDEC\uDDEE\uDDF1\uDDF4\uDDF5\uDDF7\uDDFA\uDDFF]|\uDDF4\uD83C\uDDF2|\uDDF5\uD83C[\uDDE6\uDDEA-\uDDED\uDDF0-\uDDF3\uDDF7-\uDDF9\uDDFC\uDDFE]|\uDDF6\uD83C\uDDE6|\uDDF7\uD83C[\uDDEA\uDDF4\uDDF8\uDDFA\uDDFC]|\uDDF8\uD83C[\uDDE6-\uDDEA\uDDEC-\uDDF4\uDDF7-\uDDF9\uDDFB\uDDFD-\uDDFF]|\uDDF9\uD83C[\uDDE6\uDDE8\uDDE9\uDDEB-\uDDED\uDDEF-\uDDF4\uDDF7\uDDF9\uDDFB\uDDFC\uDDFF]|\uDDFA\uD83C[\uDDE6\uDDEC\uDDF2\uDDF3\uDDF8\uDDFE\uDDFF]|\uDDFB\uD83C[\uDDE6\uDDE8\uDDEA\uDDEC\uDDEE\uDDF3\uDDFA]|\uDDFC\uD83C[\uDDEB\uDDF8]|\uDDFD\uD83C\uDDF0|\uDDFE\uD83C[\uDDEA\uDDF9]|\uDDFF\uD83C[\uDDE6\uDDF2\uDDFC]|[\uDE01\uDE02\uDE1A\uDE2F\uDE32-\uDE3A\uDE50\uDE51\uDF00-\uDF21\uDF24-\uDF84]|\uDF85(?:\uD83C[\uDFFB-\uDFFF])?|[\uDF86-\uDF93\uDF96\uDF97\uDF99-\uDF9B\uDF9E-\uDFC1]|\uDFC2(?:\uD83C[\uDFFB-\uDFFF])?|[\uDFC3\uDFC4](?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|[\uDFC5\uDFC6]|\uDFC7(?:\uD83C[\uDFFB-\uDFFF])?|[\uDFC8\uDFC9]|\uDFCA(?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|[\uDFCB\uDFCC](?:\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?|\uFE0F\u200D[\u2640\u2642]\uFE0F)?|[\uDFCD-\uDFF0]|\uDFF3(?:\uFE0F\u200D\uD83C\uDF08)?|\uDFF4(?:\u200D\u2620\uFE0F|\uDB40\uDC67\uDB40\uDC62\uDB40(?:\uDC65\uDB40\uDC6E\uDB40\uDC67|\uDC73\uDB40\uDC63\uDB40\uDC74|\uDC77\uDB40\uDC6C\uDB40\uDC73)\uDB40\uDC7F)?|[\uDFF5\uDFF7-\uDFFF])|\uD83D(?:[\uDC00-\uDC14]|\uDC15(?:\u200D\uD83E\uDDBA)?|[\uDC16-\uDC40]|\uDC41(?:\uFE0F\u200D\uD83D\uDDE8\uFE0F)?|[\uDC42\uDC43](?:\uD83C[\uDFFB-\uDFFF])?|[\uDC44\uDC45]|[\uDC46-\uDC50](?:\uD83C[\uDFFB-\uDFFF])?|[\uDC51-\uDC65]|[\uDC66\uDC67](?:\uD83C[\uDFFB-\uDFFF])?|\uDC68(?:\u200D(?:[\u2695\u2696\u2708]\uFE0F|\u2764\uFE0F\u200D\uD83D(?:\uDC8B\u200D\uD83D)?\uDC68|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D(?:\uDC66(?:\u200D\uD83D\uDC66)?|\uDC67(?:\u200D\uD83D[\uDC66\uDC67])?|[\uDC68\uDC69]\u200D\uD83D(?:\uDC66(?:\u200D\uD83D\uDC66)?|\uDC67(?:\u200D\uD83D[\uDC66\uDC67])?)|[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92])|\uD83E[\uDDAF-\uDDB3\uDDBC\uDDBD])|\uD83C(?:\uDFFB(?:\u200D(?:[\u2695\u2696\u2708]\uFE0F|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E[\uDDAF-\uDDB3\uDDBC\uDDBD]))?|\uDFFC(?:\u200D(?:[\u2695\u2696\u2708]\uFE0F|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E(?:\uDD1D\u200D\uD83D\uDC68\uD83C\uDFFB|[\uDDAF-\uDDB3\uDDBC\uDDBD])))?|\uDFFD(?:\u200D(?:[\u2695\u2696\u2708]\uFE0F|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E(?:\uDD1D\u200D\uD83D\uDC68\uD83C[\uDFFB\uDFFC]|[\uDDAF-\uDDB3\uDDBC\uDDBD])))?|\uDFFE(?:\u200D(?:[\u2695\u2696\u2708]\uFE0F|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E(?:\uDD1D\u200D\uD83D\uDC68\uD83C[\uDFFB-\uDFFD]|[\uDDAF-\uDDB3\uDDBC\uDDBD])))?|\uDFFF(?:\u200D(?:[\u2695\u2696\u2708]\uFE0F|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E(?:\uDD1D\u200D\uD83D\uDC68\uD83C[\uDFFB-\uDFFE]|[\uDDAF-\uDDB3\uDDBC\uDDBD])))?))?|\uDC69(?:\u200D(?:[\u2695\u2696\u2708]\uFE0F|\u2764\uFE0F\u200D\uD83D(?:\uDC8B\u200D\uD83D)?[\uDC68\uDC69]|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D(?:\uDC66(?:\u200D\uD83D\uDC66)?|\uDC67(?:\u200D\uD83D[\uDC66\uDC67])?|\uDC69\u200D\uD83D(?:\uDC66(?:\u200D\uD83D\uDC66)?|\uDC67(?:\u200D\uD83D[\uDC66\uDC67])?)|[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92])|\uD83E[\uDDAF-\uDDB3\uDDBC\uDDBD])|\uD83C(?:\uDFFB(?:\u200D(?:[\u2695\u2696\u2708]\uFE0F|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E(?:\uDD1D\u200D\uD83D\uDC68\uD83C[\uDFFC-\uDFFF]|[\uDDAF-\uDDB3\uDDBC\uDDBD])))?|\uDFFC(?:\u200D(?:[\u2695\u2696\u2708]\uFE0F|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E(?:\uDD1D\u200D\uD83D(?:\uDC68\uD83C[\uDFFB\uDFFD-\uDFFF]|\uDC69\uD83C\uDFFB)|[\uDDAF-\uDDB3\uDDBC\uDDBD])))?|\uDFFD(?:\u200D(?:[\u2695\u2696\u2708]\uFE0F|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E(?:\uDD1D\u200D\uD83D(?:\uDC68\uD83C[\uDFFB\uDFFC\uDFFE\uDFFF]|\uDC69\uD83C[\uDFFB\uDFFC])|[\uDDAF-\uDDB3\uDDBC\uDDBD])))?|\uDFFE(?:\u200D(?:[\u2695\u2696\u2708]\uFE0F|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E(?:\uDD1D\u200D\uD83D(?:\uDC68\uD83C[\uDFFB-\uDFFD\uDFFF]|\uDC69\uD83C[\uDFFB-\uDFFD])|[\uDDAF-\uDDB3\uDDBC\uDDBD])))?|\uDFFF(?:\u200D(?:[\u2695\u2696\u2708]\uFE0F|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E(?:\uDD1D\u200D\uD83D[\uDC68\uDC69]\uD83C[\uDFFB-\uDFFE]|[\uDDAF-\uDDB3\uDDBC\uDDBD])))?))?|\uDC6A|[\uDC6B-\uDC6D](?:\uD83C[\uDFFB-\uDFFF])?|\uDC6E(?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|\uDC6F(?:\u200D[\u2640\u2642]\uFE0F)?|\uDC70(?:\uD83C[\uDFFB-\uDFFF])?|\uDC71(?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|\uDC72(?:\uD83C[\uDFFB-\uDFFF])?|\uDC73(?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|[\uDC74-\uDC76](?:\uD83C[\uDFFB-\uDFFF])?|\uDC77(?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|\uDC78(?:\uD83C[\uDFFB-\uDFFF])?|[\uDC79-\uDC7B]|\uDC7C(?:\uD83C[\uDFFB-\uDFFF])?|[\uDC7D-\uDC80]|[\uDC81\uDC82](?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|\uDC83(?:\uD83C[\uDFFB-\uDFFF])?|\uDC84|\uDC85(?:\uD83C[\uDFFB-\uDFFF])?|[\uDC86\uDC87](?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|[\uDC88-\uDCA9]|\uDCAA(?:\uD83C[\uDFFB-\uDFFF])?|[\uDCAB-\uDCFD\uDCFF-\uDD3D\uDD49-\uDD4E\uDD50-\uDD67\uDD6F\uDD70\uDD73]|\uDD74(?:\uD83C[\uDFFB-\uDFFF])?|\uDD75(?:\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?|\uFE0F\u200D[\u2640\u2642]\uFE0F)?|[\uDD76-\uDD79]|\uDD7A(?:\uD83C[\uDFFB-\uDFFF])?|[\uDD87\uDD8A-\uDD8D]|[\uDD90\uDD95\uDD96](?:\uD83C[\uDFFB-\uDFFF])?|[\uDDA4\uDDA5\uDDA8\uDDB1\uDDB2\uDDBC\uDDC2-\uDDC4\uDDD1-\uDDD3\uDDDC-\uDDDE\uDDE1\uDDE3\uDDE8\uDDEF\uDDF3\uDDFA-\uDE44]|[\uDE45-\uDE47](?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|[\uDE48-\uDE4A]|\uDE4B(?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|\uDE4C(?:\uD83C[\uDFFB-\uDFFF])?|[\uDE4D\uDE4E](?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|\uDE4F(?:\uD83C[\uDFFB-\uDFFF])?|[\uDE80-\uDEA2]|\uDEA3(?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|[\uDEA4-\uDEB3]|[\uDEB4-\uDEB6](?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|[\uDEB7-\uDEBF]|\uDEC0(?:\uD83C[\uDFFB-\uDFFF])?|[\uDEC1-\uDEC5\uDECB]|\uDECC(?:\uD83C[\uDFFB-\uDFFF])?|[\uDECD-\uDED2\uDED5\uDEE0-\uDEE5\uDEE9\uDEEB\uDEEC\uDEF0\uDEF3-\uDEFA\uDFE0-\uDFEB])|\uD83E(?:[\uDD0D\uDD0E]|\uDD0F(?:\uD83C[\uDFFB-\uDFFF])?|[\uDD10-\uDD17]|[\uDD18-\uDD1C](?:\uD83C[\uDFFB-\uDFFF])?|\uDD1D|[\uDD1E\uDD1F](?:\uD83C[\uDFFB-\uDFFF])?|[\uDD20-\uDD25]|\uDD26(?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|[\uDD27-\uDD2F]|[\uDD30-\uDD36](?:\uD83C[\uDFFB-\uDFFF])?|\uDD37(?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|[\uDD38\uDD39](?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|\uDD3A|\uDD3C(?:\u200D[\u2640\u2642]\uFE0F)?|[\uDD3D\uDD3E](?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|[\uDD3F-\uDD45\uDD47-\uDD71\uDD73-\uDD76\uDD7A-\uDDA2\uDDA5-\uDDAA\uDDAE-\uDDB4]|[\uDDB5\uDDB6](?:\uD83C[\uDFFB-\uDFFF])?|\uDDB7|[\uDDB8\uDDB9](?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|\uDDBA|\uDDBB(?:\uD83C[\uDFFB-\uDFFF])?|[\uDDBC-\uDDCA]|[\uDDCD-\uDDCF](?:\u200D[\u2640\u2642]\uFE0F|\uD83C[\uDFFB-\uDFFF](?:\u200D[\u2640\u2642]\uFE0F)?)?|\uDDD0|\uDDD1(?:\u200D\uD83E\uDD1D\u200D\uD83E\uDDD1|\uD83C(?:\uDFFB(?: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我正在尝试解析可能包含表情符号的消息。可以接收的示例消息如下所示：
{"type":"chat","msg":"UserName:\u00a0\ud83d\ude0b \n"}
应该匹配的是单个字符\u00a0，成对的\ud83d\ude0b。
我有正则表达式可以提取单个代码，但不能成对匹配完整的表情符号：
\u[a-z0-9]{4}
是否有一种干净的方法来解释句子中的 any/multiple 表情符号，以便我可以用我拥有的功能替换代理对？谢谢！
编辑：这是我将与正则表达式一起使用的函数
string ConvertToUnicode(string SurrogatePair)
{
string returnValue = "";
for (var i = 0; i < SurrogatePair.Length; i += char.IsSurrogatePair(SurrogatePair, i) ? 2 : 1)
{
var codepoint = char.ConvertToUtf32(SurrogatePair, i);
returnValue = String.Format("U+{0:X4}", codepoint);
}
return returnValue;
}
我有一个字典，其中键是 unicode，值是对表情符号图像的引用，因此我可以在 Unity UI 元素中显示它。
编辑 2：
由于这个问题有点过于宽泛，我将具体说明我要完成的任务。我正在通过 websocket 连接从服务器接收 json 消息。此消息显示在 Unity 面板中，其中每条消息都是文本网格专业文本对象。发送表情符号时，消息显示与上面的示例消息类似，唯一的变化是代理对根据发送的表情符号发生变化。为了将相应的表情符号图像正确插入到文本网格 pro 对象中，我需要获取指向正确表情符号的精灵图集 id。由于我没有手动将精灵插入图集，而是从拼接的精灵 sheet 中读取它们，因此访问每个图像的唯一方法是通过它们的索引 ID。为了通过 id 正确识别图集中的表情符号，我创建了一个字典，按它们在 sprite sheet 中出现的顺序插入 Unicode 作为键，其中值是图集中的索引。我现在要做的是使用正则表达式解析接收到的表情符号消息，将解析后的数据发送到我上面发布的函数中，将其转换为 Unicode 值，然后从字典中检索正确的 ID，最后插入表情符号最初是在前端输入的。如果有更好的方法，请告诉我，但根据我所做的研究，将图像插入 Unity 文本对象的唯一有效方法就是我的方法。因此，我需要从消息中获取代理对。
编辑 3：
如果其他人偶然发现了这个问题，我将留下我想出的解决方案，用于从 html 网站获取表情符号，通过 websocket 服务器进入 Unity textmeshpro。
这是一个 google spreadsheet 包含十六进制值和精灵 sheet 我曾经在 Unity 中创建字典/精灵图集：https://docs.google.com/spreadsheets/d/1XQY1n9cA1hx_PnsXoisxjanZRiQG0gd25VYEmk1W7mE/edit?usp=sharing.
然后我使用了一个可以在这里找到的库：https://github.com/aaronpk/emoji-detector-php
它可以解析字符串并找到表情符号。我将正则表达式替换为下面由 sln 提供的正则表达式，然后将主脚本调整为仅 return 返回消息文本，但将表情符号替换为包裹在定界符中的十六进制，我可以在 Unity 端使用正则表达式找到.
<?php
namespace Emoji;
define('LONGEST_EMOJI', 8);
function detect_emoji($string) {
// Find all the emoji in the input string
$prevencoding = mb_internal_encoding();
mb_internal_encoding('UTF-8');
$data = array();
$test = $string;
static $map;
if(!isset($map))
$map = _load_map();
static $regexp;
if(!isset($regexp))
$regexp = _load_regexp();
if(preg_match_all($regexp, $string, $matches)) {
foreach($matches[0] as $ch) {
$points = array();
for($i=0; $i<mb_strlen($ch); $i++) {
$points[] = strtoupper(dechex(uniord(mb_substr($ch, $i, 1))));
}
$hexstr = implode('-', $points);
$theMatch = $string.exec($ch);
$test = substr_replace($test, "[[[[".$hexstr."]]]]", strpos($test, $ch), strlen($ch));
}
}
if($prevencoding)
mb_internal_encoding($prevencoding);
return $test;
}
function _load_map() {
return json_decode(file_get_contents(dirname(__FILE__).'/map.json'), true);
}
function _load_regexp() {
return '/(?:' . json_decode(file_get_contents(dirname(__FILE__).'/regexp.json')) . ')/u';
}
function uniord($c) {
$ord0 = ord($c[0]); if ($ord0>=0 && $ord0<=127) return $ord0;
$ord1 = ord($c[1]); if ($ord0>=192 && $ord0<=223) return ($ord0-192)*64 + ($ord1-128);
$ord2 = ord($c[2]); if ($ord0>=224 && $ord0<=239) return ($ord0-224)*4096 + ($ord1-128)*64 + ($ord2-128);
$ord3 = ord($c[3]); if ($ord0>=240 && $ord0<=247) return ($ord0-240)*262144 + ($ord1-128)*4096 + ($ord2-128)*64 + ($ord3-128);
return false;
}
要在我的服务器脚本中调用它，我只需添加：
include("src/Emoji.php");
在我的脚本顶部，按如下方式调用函数：
$message = Emoji\detect_emoji($message);
我确保这只发送到我的 Unity 客户端，因为我将它们的 resourceId 存储在服务器代码中。
在 Unity 端，为了找到需要替换的表情符号，我使用了：
string emojiPattern = @"(?<=\[\[\[\[).[^\]\]\]\]]*";
MatchCollection emojiMatch = Regex.Matches(messageString, emojiPattern);
for(int x = 0; x < emojiMatch.Count; x++)
{
messageString = messageString.Replace("[[[[" + emojiMatch[x].Value + "]]]]", "<sprite=" + emojiDictionary[emojiMatch[x].Value.ToLower()].ToString() + ">");
}
作为文本元素，我实例化的是一个文本网格专业文本 GUI 元素，它能够将其转换为我使用 sprite sheet 制作的 sprite atlas 中的图像.希望这对以后的人有所帮助！
用于查找的完整 C# 正则表达式 any/all V12 表情符号
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