选择第三方语音包：
可以到
https://github.com/topics/vscode-rainbow-fart 查找语音包。
点击确定生效：
[](
)原理
=====================================================================
没啥原理，就是一款简单的idea插件，对没写过插件的我来说，需要先看下官方文档，基本上看下面这一篇就OK：
https://www.jetbrains.org/intellij/sdk/docs/basics/getting_started.html
[](
)读取语音包
========================================================================
先来看下语音包的设计：
{
“name”: “KugimiyaRie”,
“display-name”: “KugimiyaRie 钉宫理惠 (Japanese)”,
“avatar”: “louise.png”,
“avatar-dark”: “shana.png”,
“version”: “0.0.1”,
“description”: “傲娇钉宫，鞭写鞭骂”,
“languages”: [
“javascript”
],
“author”: “zthxxx”,
“gender”: “female”,
“locale”: “jp”,
“contributes”: [
{
“keywords”: [
“function”,
“=>”
],
“voices”: [
“function_01.mp3”,
“function_02.mp3”,
“function_03.mp3”
]
},
…
]
}
对Java来说，定义两个bean类，解析json即可：
public static void loadConfig() {
try {
//
FartSettings settings = FartSettings.getInstance();
if (!settings.isEnable()) {
return;
}
String json = readVoicePackageJson(“manifest.json”);
Gson gson = new Gson();
Manifest manifest = gson.fromJson(json, Manifest.class);
// load contributes.json
if (manifest.getContributes() == null) {
String contributesText = readVoicePackageJson(“contributes.json”);
Manifest contributes = gson.fromJson(contributesText, Manifest.class);
if (contributes.getContributes() != null) {
manifest.setContributes(contributes.getContributes());
}
}
Context.init(manifest);
} catch (IOException e) {
}
}
[](
)监控用户输入
=========================================================================
自定义一个Handler类继承TypedActionHandler
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base即可，需要实现的方法原型是：
public void execute(@NotNull Editor editor, char charTyped, @NotNull DataContext dataContext)
chartTyped就是输入的字符，我们可以简单粗暴的将这些组合到一起即可，用一个list缓存，然后将拼接后的字符串匹配关键词。
private List candidates = new ArrayList<>();
@Override
public void execute(@NotNull Editor editor, char charTyped, @NotNull DataContext dataContext) {
candidates.add(String.valueOf(charTyped));
String str = StringUtils.join(candidates, “”);
try {
List voices = Context.getCandidate(str);
if (!voices.isEmpty()) {
Context.play(voices);
candidates.clear();
}
}catch (Exception e){
// TODO
candidates.clear();
}
if (this.myOriginalHandler != null) {
this.myOriginalHandler.execute(editor, charTyped, dataContext);
}
}
匹配关键词更简单,将读取出来的json，放到hashmap中，然后遍历map，如果包含关键词就作为语音候选：
public static List getCandidate(String inputHistory) {
final List candidate = new ArrayList<>();
FartSettings settings = FartSettings.getInstance();
if (!settings.isEnable()) {
