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@ -17,11 +17,8 @@ import cn.teammodel.service.DeepSeekService;
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import cn.teammodel.service.DeepSeekSessionService;
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import cn.teammodel.utils.RepositoryUtil;
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import com.azure.cosmos.models.CosmosPatchOperations;
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import com.fasterxml.jackson.core.JsonProcessingException;
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import com.fasterxml.jackson.databind.JsonNode;
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import lombok.extern.slf4j.Slf4j;
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import okhttp3.*;
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import okio.BufferedSource;
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import org.apache.http.client.methods.CloseableHttpResponse;
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import org.apache.http.client.methods.HttpPost;
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import org.apache.http.entity.StringEntity;
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@ -31,15 +28,12 @@ import org.springframework.stereotype.Service;
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import org.springframework.web.servlet.mvc.method.annotation.SseEmitter;
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import javax.annotation.Resource;
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import java.io.BufferedReader;
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import java.io.IOException;
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import java.io.InputStreamReader;
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import java.nio.charset.StandardCharsets;
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import java.time.Instant;
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import java.util.*;
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import java.util.concurrent.ExecutorService;
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import java.util.concurrent.Executors;
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import java.util.concurrent.TimeUnit;
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import com.fasterxml.jackson.databind.ObjectMapper;
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@ -142,7 +136,6 @@ public class DeepSeekServiceImpl implements DeepSeekService {
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public SseEmitter ChatSeeEmitterAsk(ChatCompletionReqDto chatCompletionReqDto) {
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SseEmitter sseEmitter = new SseEmitter(-1L);
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StringBuilder strContent = new StringBuilder();
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StringBuilder strReasoning = new StringBuilder();
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executorService.execute(()-> {
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try {
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log.info("流式回答开始,问题:{}", chatCompletionReqDto.getText());
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@ -157,13 +150,13 @@ public class DeepSeekServiceImpl implements DeepSeekService {
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question.put("content", chatCompletionReqDto.getText());
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Map<String, Object> requestMap = new HashMap<>();
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requestMap.put("model", chatCompletionReqDto.getModel());
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requestMap.put("model", DeepSeekClient.API_Model);
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requestMap.put("messages", Collections.singletonList(question));
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requestMap.put("stream", true);
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requestMap.put("max_tokens", 1024);
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String requestBody = objectMapper.writeValueAsString(requestMap);
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httpPost.setEntity(new StringEntity(requestBody, StandardCharsets.UTF_8));
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StringBuilder responseBody = new StringBuilder();
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try (CloseableHttpResponse response = client.execute(httpPost);
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BufferedReader reader = new BufferedReader(
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new InputStreamReader(response.getEntity().getContent(), StandardCharsets.UTF_8))) {
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@ -174,7 +167,7 @@ public class DeepSeekServiceImpl implements DeepSeekService {
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if ("[DONE]".equals(jsonData)) {
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sseEmitter.send("[DONE]");
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// 会话完成，更新历史会话记录
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ChatSession.Message message = ChatSession.Message.of(chatCompletionReqDto.getText(), strContent.toString(),chatCompletionReqDto.getModel(),strReasoning.toString());
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ChatSession.Message message = ChatSession.Message.of(chatCompletionReqDto.getText(), strContent.toString(),chatCompletionReqDto.getModel());
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HistoryCache.updateContext(chatCompletionReqDto.getSessionId(), message);
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CosmosPatchOperations options = CosmosPatchOperations.create()
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.replace("/updateTime", Instant.now().toEpochMilli())
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@ -188,20 +181,11 @@ public class DeepSeekServiceImpl implements DeepSeekService {
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.path("delta")
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.path("content")
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.asText("");
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//推理过程
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String reasoning_content = node.path("choices")
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.path(0)
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.path("delta")
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.path("reasoning_content")
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.asText("");
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if (!content.isEmpty()) {
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responseBody.append(content);
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strContent.append(content);
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sseEmitter.send(content);
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}
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if (!reasoning_content.isEmpty()) {
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strReasoning.append(reasoning_content);
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sseEmitter.send("reasoning:"+ reasoning_content);
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}
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}
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}
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log.info("流式回答结束,{}",question);
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@ -220,98 +204,6 @@ public class DeepSeekServiceImpl implements DeepSeekService {
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return sseEmitter;
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}
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/**
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* 深度思考
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* @param chatCompletionReqDto
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* @return
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*/
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@Override
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public SseEmitter ReasonerChatCompletion(ChatCompletionReqDto chatCompletionReqDto) {
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SseEmitter sseEmitter = new SseEmitter(-1L);
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OkHttpClient client = new OkHttpClient.Builder()
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.readTimeout(30, TimeUnit.SECONDS)
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.build();
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MediaType JSON = MediaType.parse("application/json; charset=utf-8");
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// 构建请求体
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// String requestBody = "{"
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// + "\"model\": \"deepseek-chat\","
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// + "\"messages\": [{\"role\": \"user\", \"content\": \"请介绍一下成都\"}],"
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// + "\"stream\": true,"
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// + "\"temperature\": 0.7"
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// + "}";
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Map<String, Object> question = new HashMap<>();
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question.put("role", "user");
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question.put("content", chatCompletionReqDto.getText());
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Map<String, Object> requestMap = new HashMap<>();
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requestMap.put("model", chatCompletionReqDto.getModel());
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requestMap.put("messages", Collections.singletonList(question));
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requestMap.put("stream", true);
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String requestBody = null;
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try {
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requestBody = objectMapper.writeValueAsString(requestMap);
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} catch (JsonProcessingException e) {
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log.error("处理用户转换问题出错", e);
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sseEmitter.completeWithError(e);
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}
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Request request = new Request.Builder()
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.url(DeepSeekClient.API_Url)
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.post(RequestBody.create(JSON, requestBody))
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.addHeader("Authorization", "Bearer " + DeepSeekClient.API_Key)
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.addHeader("Accept", "text/event-stream")
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.build();
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try(Response response = client.newCall(request).execute()){
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if (response.isSuccessful() && response.body() != null) {
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try (ResponseBody body = response.body()) {
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if (body != null) {
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BufferedSource source = body.source();
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while (!source.exhausted()) {
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String line = source.readUtf8Line();
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if (line != null && line.startsWith("data: ")) {
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String json = line.substring(6).trim();
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if (json.equals("[DONE]")) {
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sseEmitter.send("[DONE]");
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break;
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}
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JsonNode node = objectMapper.readTree(json);
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String content = node.path("choices")
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.path(0)
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.path("delta")
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.path("content")
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.asText("");
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String reasoning_content = node.path("choices")
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.path(0)
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.path("delta")
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.path("reasoning_content")
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.asText("");
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if (!content.isEmpty()) {
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sseEmitter.send(content);
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}
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if (!reasoning_content.isEmpty()) {
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sseEmitter.send("reasoning:"+reasoning_content);
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}
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}
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}
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log.info("流式回答结束,{}",requestBody);
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sseEmitter.complete();
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}
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} catch (IOException e) {
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log.error("处理 Deepseek 请求时发生错误", e);
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sseEmitter.completeWithError(e);
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}
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}
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}catch (IOException e) {
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log.error("处理 Deepseek 请求时发生错误", e);
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sseEmitter.completeWithError(e);
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}
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return sseEmitter;
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}
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//region 辅助方法
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/**
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* 新增/更新会话
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