缘起
是否听说过程序员鼓励师,不久前出了一款vscode的插件rainbow-fart,可以在写代码的时候,匹配到特定关键词就疯狂的拍你马屁。
vscode的下载尝试过,但是作为日常将IDEA作为主力生产工具的同学来说,如何体验呢? 于是假期花了一点时间,写了一个idea版本的插件idea-rainbow-fart。
使用说明
默认使用中文语音包,可以在setting里设置
打开设置:
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:
/**
* 加载配置
*/
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TypedActionHandlerBase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<String> 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<String> 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<String> getCandidate(String inputHistory) {
final List<String> candidate = new ArrayList<>();
FartSettings settings = FartSettings.getInstance();
if (!settings.isEnable()) {
return candidate;
}
if (keyword2Voices != null) {
keyword2Voices.forEach((keyword, voices) -> {
if (inputHistory.contains(keyword)) {
candidate.addAll(voices);
}
});
}
if (candidate.isEmpty()) {
candidate.addAll(findSpecialKeyword(inputHistory));
}
return candidate;
}
如果找到候选,就播放。
播放
为了防止同时播放多个语音,我们用一个单线程线程池来搞定。播放器使用javazoom.jl.player.Player
/**
* play in a single thread pool
*/
static ExecutorService playerTheadPool;
static {
ThreadFactory playerFactory = new ThreadFactoryBuilder()
.setNameFormat("player-pool-%d").build();
playerTheadPool = new ThreadPoolExecutor(1, 1,
0L, TimeUnit.MILLISECONDS,
new LinkedBlockingQueue<>(1024), playerFactory, new ThreadPoolExecutor.AbortPolicy());
}
public static void play(List<String> voices) {
FartSettings settings = FartSettings.getInstance();
if (!settings.isEnable()) {
return;
}
// play in single thread
playerTheadPool.submit(() -> {
String file = voices.get(new Random().nextInt() % voices.size());
try {
InputStream inputStream = null;
if (StringUtils.isEmpty(settings.getCustomVoicePackage())) {
inputStream = Context.class.getResourceAsStream("/build-in-voice-chinese/" + file);
} else {
File mp3File = Paths.get(settings.getCustomVoicePackage(), file).toFile();
if (mp3File.exists()) {
try {
inputStream = new FileInputStream(mp3File);
} catch (FileNotFoundException e) {
}
} else {
return;
}
}
if (inputStream != null) {
Player player = new Player(inputStream);
player.play();
player.close();
}
} catch (JavaLayerException e) {
}
});
}
来源:oschina
链接:https://my.oschina.net/u/4353583/blog/4331474