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【代码优化】AI：思维导入、写作的生成

This commit is contained in:
YunaiV 2024-07-12 09:26:32 +08:00
parent ecb50c6511
commit 68ed8cd6f8
3 changed files with 45 additions and 35 deletions
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2
yudao-module-ai/yudao-module-ai-biz/src/main/java/cn/iocoder/yudao/module/ai/service/chat/AiChatMessageServiceImpl.java
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@ -111,7 +111,7 @@ public class AiChatMessageServiceImpl implements AiChatMessageService {
AiChatMessageDO assistantMessage = createChatMessage(conversation.getId(), userMessage.getId(), model, AiChatMessageDO assistantMessage = createChatMessage(conversation.getId(), userMessage.getId(), model,
userId, conversation.getRoleId(), MessageType.ASSISTANT, "", sendReqVO.getUseContext()); userId, conversation.getRoleId(), MessageType.ASSISTANT, "", sendReqVO.getUseContext());
// 3.2 创建 chat 需要的 Prompt // 3.2 构建 Prompt，并进行调用
Prompt prompt = buildPrompt(conversation, historyMessages, model, sendReqVO); Prompt prompt = buildPrompt(conversation, historyMessages, model, sendReqVO);
Flux<ChatResponse> streamResponse = chatModel.stream(prompt); Flux<ChatResponse> streamResponse = chatModel.stream(prompt);

49
yudao-module-ai/yudao-module-ai-biz/src/main/java/cn/iocoder/yudao/module/ai/service/mindmap/AiMindMapServiceImpl.java
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@ -32,13 +32,12 @@ import reactor.core.publisher.Flux;
import java.util.ArrayList; import java.util.ArrayList;
import java.util.List; import java.util.List;
import java.util.Objects;
import static cn.iocoder.yudao.framework.common.pojo.CommonResult.error; import static cn.iocoder.yudao.framework.common.pojo.CommonResult.error;
import static cn.iocoder.yudao.framework.common.pojo.CommonResult.success; import static cn.iocoder.yudao.framework.common.pojo.CommonResult.success;
/** /**
* AI 写作 Service 实现类 * AI 思维导图 Service 实现类
* *
* @author xiaoxin * @author xiaoxin
*/ */
@ -58,30 +57,28 @@ public class AiMindMapServiceImpl implements AiMindMapService {
@Override @Override
public Flux<CommonResult<String>> generateMindMap(AiMindMapGenerateReqVO generateReqVO, Long userId) { public Flux<CommonResult<String>> generateMindMap(AiMindMapGenerateReqVO generateReqVO, Long userId) {
// 1 获取脑图模型 尝试获取思维导图助手角色，如果没有则使用默认模型 // 1. 获取脑图模型。尝试获取思维导图助手角色，如果没有则使用默认模型
AiChatRoleDO mindMapRole = CollUtil.getFirst(chatRoleService.getChatRoleListByName(AiChatRoleEnum.AI_MIND_MAP_ROLE.getName())); AiChatRoleDO role = CollUtil.getFirst(
chatRoleService.getChatRoleListByName(AiChatRoleEnum.AI_MIND_MAP_ROLE.getName()));
// 1.1 获取脑图执行模型 // 1.1 获取脑图执行模型
AiChatModelDO model = getModel(mindMapRole); AiChatModelDO model = getModel(role);
// 1.2 获取角色设定消息 // 1.2 获取角色设定消息
String systemMessage = Objects.nonNull(mindMapRole) && StrUtil.isNotBlank(mindMapRole.getSystemMessage()) String systemMessage = role != null && StrUtil.isNotBlank(role.getSystemMessage())
? mindMapRole.getSystemMessage() : AiChatRoleEnum.AI_MIND_MAP_ROLE.getSystemMessage(); ? role.getSystemMessage() : AiChatRoleEnum.AI_MIND_MAP_ROLE.getSystemMessage();
// 1.3 校验平台 // 1.3 校验平台
AiPlatformEnum platform = AiPlatformEnum.validatePlatform(model.getPlatform()); AiPlatformEnum platform = AiPlatformEnum.validatePlatform(model.getPlatform());
ChatModel chatModel = apiKeyService.getChatModel(model.getKeyId()); ChatModel chatModel = apiKeyService.getChatModel(model.getKeyId());
// 2 插入思维导图信息 // 2. 插入思维导图信息
AiMindMapDO mindMapDO = BeanUtils.toBean(generateReqVO, AiMindMapDO.class, AiMindMapDO mindMapDO = BeanUtils.toBean(generateReqVO, AiMindMapDO.class,
mindMap -> mindMap.setUserId(userId).setModel(model.getModel()).setPlatform(platform.getPlatform())); mindMap -> mindMap.setUserId(userId).setModel(model.getModel()).setPlatform(platform.getPlatform()));
mindMapMapper.insert(mindMapDO); mindMapMapper.insert(mindMapDO);
ChatOptions chatOptions = AiUtils.buildChatOptions(platform, model.getModel(), model.getTemperature(), model.getMaxTokens()); // 3.1 构建 Prompt，并进行调用
// 3.1 角色设定 Prompt prompt = buildPrompt(generateReqVO, model, systemMessage);
List<Message> chatMessages = buildMessages(generateReqVO, systemMessage);
// 3.3 构建提示词
Prompt prompt = new Prompt(chatMessages, chatOptions);
Flux<ChatResponse> streamResponse = chatModel.stream(prompt); Flux<ChatResponse> streamResponse = chatModel.stream(prompt);
// 3.4 流式返回
// 3.2 流式返回
StringBuffer contentBuffer = new StringBuffer(); StringBuffer contentBuffer = new StringBuffer();
return streamResponse.map(chunk -> { return streamResponse.map(chunk -> {
String newContent = chunk.getResult() != null ? chunk.getResult().getOutput().getContent() : null; String newContent = chunk.getResult() != null ? chunk.getResult().getOutput().getContent() : null;
@ -102,24 +99,32 @@ public class AiMindMapServiceImpl implements AiMindMapService {
} }
private Prompt buildPrompt(AiMindMapGenerateReqVO generateReqVO, AiChatModelDO model, String systemMessage) {
// 1. 构建 message 列表
List<Message> chatMessages = buildMessages(generateReqVO, systemMessage);
// 2. 构建 options 对象
AiPlatformEnum platform = AiPlatformEnum.validatePlatform(model.getPlatform());
ChatOptions options = AiUtils.buildChatOptions(platform, model.getModel(), model.getTemperature(), model.getMaxTokens());
return new Prompt(chatMessages, options);
}
private static List<Message> buildMessages(AiMindMapGenerateReqVO generateReqVO, String systemMessage) { private static List<Message> buildMessages(AiMindMapGenerateReqVO generateReqVO, String systemMessage) {
List<Message> chatMessages = new ArrayList<>(); List<Message> chatMessages = new ArrayList<>();
// 1. 角色设定
if (StrUtil.isNotBlank(systemMessage)) { if (StrUtil.isNotBlank(systemMessage)) {
// 1.1 角色设定
chatMessages.add(new SystemMessage(systemMessage)); chatMessages.add(new SystemMessage(systemMessage));
} }
// 1.2 用户输入 // 2. 用户输入
chatMessages.add(new UserMessage(generateReqVO.getPrompt())); chatMessages.add(new UserMessage(generateReqVO.getPrompt()));
return chatMessages; return chatMessages;
} }
// TODO 芋艿：这里脑图、写作都用到了，是不是可以抽哪里去 private AiChatModelDO getModel(AiChatRoleDO role) {
private AiChatModelDO getModel(AiChatRoleDO chatRoleDO) {
AiChatModelDO model = null; AiChatModelDO model = null;
if (Objects.nonNull(chatRoleDO) && Objects.nonNull(chatRoleDO.getModelId())) { if (role != null && role.getModelId() != null) {
model = chatModalService.getChatModel(chatRoleDO.getModelId()); model = chatModalService.getChatModel(role.getModelId());
} }
if (Objects.isNull(model)) { if (model != null) {
model = chatModalService.getRequiredDefaultChatModel(); model = chatModalService.getRequiredDefaultChatModel();
} }
Assert.notNull(model, "[AI] 获取不到模型"); Assert.notNull(model, "[AI] 获取不到模型");

29
yudao-module-ai/yudao-module-ai-biz/src/main/java/cn/iocoder/yudao/module/ai/service/write/AiWriteServiceImpl.java
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@ -68,8 +68,9 @@ public class AiWriteServiceImpl implements AiWriteService {
@Override @Override
public Flux<CommonResult<String>> generateWriteContent(AiWriteGenerateReqVO generateReqVO, Long userId) { public Flux<CommonResult<String>> generateWriteContent(AiWriteGenerateReqVO generateReqVO, Long userId) {
// 1 获取写作模型 尝试获取写作助手角色，没有则使用默认模型 // 1 获取写作模型。尝试获取写作助手角色，没有则使用默认模型
AiChatRoleDO writeRole = CollUtil.getFirst(chatRoleService.getChatRoleListByName(AiChatRoleEnum.AI_WRITE_ROLE.getName())); AiChatRoleDO writeRole = CollUtil.getFirst(
chatRoleService.getChatRoleListByName(AiChatRoleEnum.AI_WRITE_ROLE.getName()));
// 1.1 获取写作执行模型 // 1.1 获取写作执行模型
AiChatModelDO model = getModel(writeRole); AiChatModelDO model = getModel(writeRole);
// 1.2 获取角色设定消息 // 1.2 获取角色设定消息
@ -84,16 +85,11 @@ public class AiWriteServiceImpl implements AiWriteService {
write -> write.setUserId(userId).setPlatform(platform.getPlatform()).setModel(model.getModel())); write -> write.setUserId(userId).setPlatform(platform.getPlatform()).setModel(model.getModel()));
writeMapper.insert(writeDO); writeMapper.insert(writeDO);
// 3. 调用大模型，写作生成 // 3.1 构建 Prompt，并进行调用
ChatOptions chatOptions = AiUtils.buildChatOptions(platform, model.getModel(), model.getTemperature(), model.getMaxTokens()); Prompt prompt = buildPrompt(generateReqVO, model, systemMessage);
// 3.1 构建消息列表
List<Message> chatMessages = buildMessages(generateReqVO, systemMessage);
// 3.2 构建提示词
Prompt prompt = new Prompt(chatMessages, chatOptions);
// 3.3 流式调用
Flux<ChatResponse> streamResponse = chatModel.stream(prompt); Flux<ChatResponse> streamResponse = chatModel.stream(prompt);
// 4. 流式返回 // 3.2 流式返回
StringBuffer contentBuffer = new StringBuffer(); StringBuffer contentBuffer = new StringBuffer();
return streamResponse.map(chunk -> { return streamResponse.map(chunk -> {
String newContent = chunk.getResult() != null ? chunk.getResult().getOutput().getContent() : null; String newContent = chunk.getResult() != null ? chunk.getResult().getOutput().getContent() : null;
@ -125,6 +121,15 @@ public class AiWriteServiceImpl implements AiWriteService {
return model; return model;
} }
private Prompt buildPrompt(AiWriteGenerateReqVO generateReqVO, AiChatModelDO model, String systemMessage) {
// 1. 构建 message 列表
List<Message> chatMessages = buildMessages(generateReqVO, systemMessage);
// 2. 构建 options 对象
AiPlatformEnum platform = AiPlatformEnum.validatePlatform(model.getPlatform());
ChatOptions options = AiUtils.buildChatOptions(platform, model.getModel(), model.getTemperature(), model.getMaxTokens());
return new Prompt(chatMessages, options);
}
private List<Message> buildMessages(AiWriteGenerateReqVO generateReqVO, String systemMessage) { private List<Message> buildMessages(AiWriteGenerateReqVO generateReqVO, String systemMessage) {
List<Message> chatMessages = new ArrayList<>(); List<Message> chatMessages = new ArrayList<>();
if (StrUtil.isNotBlank(systemMessage)) { if (StrUtil.isNotBlank(systemMessage)) {
@ -132,11 +137,11 @@ public class AiWriteServiceImpl implements AiWriteService {
chatMessages.add(new SystemMessage(systemMessage)); chatMessages.add(new SystemMessage(systemMessage));
} }
// 1.2 用户输入 // 1.2 用户输入
chatMessages.add(new UserMessage(buildWritingPrompt(generateReqVO))); chatMessages.add(new UserMessage(buildUserMessage(generateReqVO)));
return chatMessages; return chatMessages;
} }
private String buildWritingPrompt(AiWriteGenerateReqVO generateReqVO) { private String buildUserMessage(AiWriteGenerateReqVO generateReqVO) {
String format = dictDataApi.getDictDataLabel(DictTypeConstants.AI_WRITE_FORMAT, generateReqVO.getFormat()); String format = dictDataApi.getDictDataLabel(DictTypeConstants.AI_WRITE_FORMAT, generateReqVO.getFormat());
String tone = dictDataApi.getDictDataLabel(DictTypeConstants.AI_WRITE_TONE, generateReqVO.getTone()); String tone = dictDataApi.getDictDataLabel(DictTypeConstants.AI_WRITE_TONE, generateReqVO.getTone());
String language = dictDataApi.getDictDataLabel(DictTypeConstants.AI_WRITE_LANGUAGE, generateReqVO.getLanguage()); String language = dictDataApi.getDictDataLabel(DictTypeConstants.AI_WRITE_LANGUAGE, generateReqVO.getLanguage());