【代码优化】AI:适配 Spring AI 1.0.6 对 OpenAI 的逻辑

This commit is contained in:
YunaiV
2025-02-23 17:19:19 +08:00
parent 7ef73b7d09
commit 5655ae925c
8 changed files with 33 additions and 27 deletions

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@@ -98,7 +98,7 @@ public class AiChatMessageServiceImpl implements AiChatMessageService {
ChatResponse chatResponse = chatModel.call(prompt);
// 3.4 段式返回
String newContent = chatResponse.getResult().getOutput().getContent();
String newContent = chatResponse.getResult().getOutput().getText();
chatMessageMapper.updateById(new AiChatMessageDO().setId(assistantMessage.getId()).setSegmentIds(convertList(segmentList, AiKnowledgeSegmentDO::getId)).setContent(newContent));
return new AiChatMessageSendRespVO().setSend(BeanUtils.toBean(userMessage, AiChatMessageSendRespVO.Message.class))
.setReceive(BeanUtils.toBean(assistantMessage, AiChatMessageSendRespVO.Message.class).setContent(newContent));
@@ -136,7 +136,7 @@ public class AiChatMessageServiceImpl implements AiChatMessageService {
// TODO 注意Schedulers.immediate() 目的是,避免默认 Schedulers.parallel() 并发消费 chunk 导致 SSE 响应前端会乱序问题
StringBuffer contentBuffer = new StringBuffer();
return streamResponse.map(chunk -> {
String newContent = chunk.getResult() != null ? chunk.getResult().getOutput().getContent() : null;
String newContent = chunk.getResult() != null ? chunk.getResult().getOutput().getText() : null;
newContent = StrUtil.nullToDefault(newContent, ""); // 避免 null 的 情况
contentBuffer.append(newContent);
// 响应结果

View File

@@ -60,7 +60,7 @@ public class AiKnowledgeDocumentServiceImpl implements AiKnowledgeDocumentServic
List<Document> documents = loader.get();
Document document = CollUtil.getFirst(documents);
// 1.2 文档记录入库
String content = document.getContent();
String content = document.getText();
AiKnowledgeDocumentDO documentDO = BeanUtils.toBean(createReqVO, AiKnowledgeDocumentDO.class)
.setTokens(tokenCountEstimator.estimate(content)).setWordCount(content.length())
.setStatus(CommonStatusEnum.ENABLE.getStatus()).setSliceStatus(AiKnowledgeDocumentStatusEnum.SUCCESS.getStatus());
@@ -77,9 +77,9 @@ public class AiKnowledgeDocumentServiceImpl implements AiKnowledgeDocumentServic
List<Document> segments = tokenTextSplitter.apply(documents);
// 2.2 分段内容入库
List<AiKnowledgeSegmentDO> segmentDOList = CollectionUtils.convertList(segments,
segment -> new AiKnowledgeSegmentDO().setContent(segment.getContent()).setDocumentId(documentId)
segment -> new AiKnowledgeSegmentDO().setContent(segment.getText()).setDocumentId(documentId)
.setKnowledgeId(createReqVO.getKnowledgeId()).setVectorId(segment.getId())
.setTokens(tokenCountEstimator.estimate(segment.getContent())).setWordCount(segment.getContent().length())
.setTokens(tokenCountEstimator.estimate(segment.getText())).setWordCount(segment.getText().length())
.setStatus(CommonStatusEnum.ENABLE.getStatus()));
segmentMapper.insertBatch(segmentDOList);

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@@ -106,10 +106,12 @@ public class AiKnowledgeSegmentServiceImpl implements AiKnowledgeSegmentService
VectorStore vectorStore = apiKeyService.getOrCreateVectorStore(model.getKeyId());
// 3.1 向量检索
List<Document> documentList = vectorStore.similaritySearch(SearchRequest.query(reqVO.getContent())
.withTopK(knowledge.getTopK())
.withSimilarityThreshold(knowledge.getSimilarityThreshold())
.withFilterExpression(new FilterExpressionBuilder().eq(AiKnowledgeSegmentDO.FIELD_KNOWLEDGE_ID, reqVO.getKnowledgeId()).build()));
List<Document> documentList = vectorStore.similaritySearch(SearchRequest.builder()
.query(reqVO.getContent())
.topK(knowledge.getTopK())
.similarityThreshold(knowledge.getSimilarityThreshold())
.filterExpression(new FilterExpressionBuilder().eq(AiKnowledgeSegmentDO.FIELD_KNOWLEDGE_ID, reqVO.getKnowledgeId()).build())
.build());
if (CollUtil.isEmpty(documentList)) {
return ListUtil.empty();
}

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@@ -85,7 +85,7 @@ public class AiMindMapServiceImpl implements AiMindMapService {
// 3.2 流式返回
StringBuffer contentBuffer = new StringBuffer();
return streamResponse.map(chunk -> {
String newContent = chunk.getResult() != null ? chunk.getResult().getOutput().getContent() : null;
String newContent = chunk.getResult() != null ? chunk.getResult().getOutput().getText() : null;
newContent = StrUtil.nullToDefault(newContent, ""); // 避免 null 的 情况
contentBuffer.append(newContent);
// 响应结果

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@@ -92,7 +92,7 @@ public class AiWriteServiceImpl implements AiWriteService {
// 3.2 流式返回
StringBuffer contentBuffer = new StringBuffer();
return streamResponse.map(chunk -> {
String newContent = chunk.getResult() != null ? chunk.getResult().getOutput().getContent() : null;
String newContent = chunk.getResult() != null ? chunk.getResult().getOutput().getText() : null;
newContent = StrUtil.nullToDefault(newContent, ""); // 避免 null 的 情况
contentBuffer.append(newContent);
// 响应结果

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@@ -22,11 +22,16 @@ import java.util.List;
*/
public class OpenAIChatModelTests {
private final OpenAiApi openAiApi = new OpenAiApi(
"https://api.holdai.top",
"sk-dZEPiVaNcT3FHhef51996bAa0bC74806BeAb620dA5Da10Bf");
private final OpenAiChatModel chatModel = new OpenAiChatModel(openAiApi,
OpenAiChatOptions.builder().model(OpenAiApi.ChatModel.GPT_4_O).build());
private static final OpenAiChatModel chatModel = OpenAiChatModel.builder()
.openAiApi(OpenAiApi.builder()
.baseUrl("https://api.holdai.top")
.apiKey("sk-aN6nWn3fILjrgLFT0fC4Aa60B72e4253826c77B29dC94f17") // apiKey
.build())
.defaultOptions(OpenAiChatOptions.builder()
.model(OpenAiApi.ChatModel.GPT_4_O) // 模型
.temperature(0.7)
.build())
.build();
@Test
@Disabled

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@@ -5,8 +5,11 @@ import org.junit.jupiter.api.Test;
import org.springframework.ai.image.ImageOptions;
import org.springframework.ai.image.ImagePrompt;
import org.springframework.ai.image.ImageResponse;
import org.springframework.ai.openai.OpenAiChatModel;
import org.springframework.ai.openai.OpenAiChatOptions;
import org.springframework.ai.openai.OpenAiImageModel;
import org.springframework.ai.openai.OpenAiImageOptions;
import org.springframework.ai.openai.api.OpenAiApi;
import org.springframework.ai.openai.api.OpenAiImageApi;
import org.springframework.web.client.RestClient;
@@ -17,11 +20,10 @@ import org.springframework.web.client.RestClient;
*/
public class OpenAiImageModelTests {
private final OpenAiImageApi imageApi = new OpenAiImageApi(
"https://api.holdai.top",
"sk-dZEPiVaNcT3FHhef51996bAa0bC74806BeAb620dA5Da10Bf",
RestClient.builder());
private final OpenAiImageModel imageModel = new OpenAiImageModel(imageApi);
private final OpenAiImageModel imageModel = new OpenAiImageModel(OpenAiImageApi.builder()
.baseUrl("https://api.holdai.top") // apiKey
.apiKey("sk-aN6nWn3fILjrgLFT0fC4Aa60B72e4253826c77B29dC94f17")
.build());
@Test
@Disabled