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简历解析业务逻辑处理

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wangxiangshun
2025-11-30 17:54:39 +08:00
parent 1bbd4294a8
commit 600ab3a248
17 changed files with 326 additions and 55 deletions
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12
vetti-common/src/main/java/com/vetti/common/ai/elevenLabs/ElevenLabsStreamClient.java
View File

@@ -71,6 +71,7 @@ public class ElevenLabsStreamClient {
ByteArrayOutputStream smallChunkBuffer = new ByteArrayOutputStream();
byte[] buffer = new byte[4096];
int bytesRead;
log.info("开始发送语音流:{}",System.currentTimeMillis()/1000);
while ((bytesRead = inputStream.read(buffer)) != -1) {
try{
// 如果上一包还在发送 → 阻塞等待
@@ -80,10 +81,10 @@ public class ElevenLabsStreamClient {
}
}catch (Exception e){}
//语音流合并到2KB左右进行发送
if(smallChunkBuffer.size() >= 3072){
if(smallChunkBuffer.size() >= 4096){
// 🔥开始发送 → 上锁
sending[0] = true;
log.info("语音流大于"+smallChunkBuffer.size()+"啦,发送完成!!!");
// log.info("语音流大于"+smallChunkBuffer.size()+"啦,发送完成!!!");
byte[] merged = smallChunkBuffer.toByteArray();
smallChunkBuffer.reset();
session.getAsyncRemote().sendBinary(ByteBuffer.wrap(merged), result -> {
@@ -99,16 +100,19 @@ public class ElevenLabsStreamClient {
}
//都加完缓冲区,最最后一次发送
if(smallChunkBuffer.size() > 2){
try {
Thread.sleep(50);
}catch (Exception e){}
// 如果上一包还在发送 → 阻塞等待
byte[] merged = smallChunkBuffer.toByteArray();
smallChunkBuffer.reset();
session.getAsyncRemote().sendBinary(ByteBuffer.wrap(merged), result -> {
log.info("最后一次发送,语音流大于"+smallChunkBuffer.size()+"啦,发送完成!!!");
});
}
log.info("结束发送语音流:{}",System.currentTimeMillis()/1000);
//返回结束点
try {
Thread.sleep(20);
Thread.sleep(50);
}catch (Exception e){}
Map<String,String> dataText = new HashMap<>();
dataText.put("type","voiceEnd");

5
vetti-common/src/main/java/com/vetti/common/ai/gpt/ChatGPTClient.java
View File

@@ -39,6 +39,9 @@ public class ChatGPTClient {
@Value("${chatGpt.modelCV}")
private String modelCV;
@Value("${chatGpt.modelJxCv}")
private String modelJxCv;
@Value("${chatGpt.role}")
private String role;
@@ -66,6 +69,8 @@ public class ChatGPTClient {
resultText = sendMessage(promptText, modelQuestion,objectMapper,client,role);
} else if("PF".equals(type)){
resultText = sendMessage(promptText, model,objectMapper,client,role);
}else if("JX".equals(type)){
resultText = sendMessage(promptText, modelJxCv,objectMapper,client,role);
}else {
resultText = sendMessage(promptText, modelQuestion,objectMapper,client,role);
}