Clean Canvas and resolve bug

This commit is contained in:
2025-03-03 12:27:52 +01:00
parent 3c20728c2c
commit 1195c55600
4 changed files with 87 additions and 64 deletions

View File

@@ -19,5 +19,6 @@ public class AiModel {
private Integer maxTokens;
private String apiKey;
private boolean isDefault = false;
private boolean isCanvasDefault = false;
}

View File

@@ -37,6 +37,6 @@ public class Scenario {
private boolean useChatMemory=false;
private String outputType;
private boolean canvasEnabled=false;
}

View File

@@ -1,13 +1,11 @@
package com.olympus.hermione.repository;
import org.springframework.stereotype.Repository;
import java.util.Optional;
import org.springframework.data.mongodb.repository.MongoRepository;
import com.olympus.hermione.models.AiModel;
import com.olympus.hermione.models.AiModel;
@Repository
public interface AiModelRepository extends MongoRepository<AiModel, String>{
AiModel findByIsDefault(Boolean isDefault);
AiModel findByIsCanvasDefault(Boolean isCanvasDefault);
}

View File

@@ -1,91 +1,115 @@
package com.olympus.hermione.services;
import java.util.List;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.ai.chat.messages.Message;
import org.springframework.ai.chat.messages.SystemMessage;
import org.springframework.ai.chat.messages.UserMessage;
import org.springframework.ai.chat.model.ChatModel;
import org.springframework.ai.chat.model.Generation;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.stereotype.Service;
import com.olympus.hermione.client.OlympusChatClient;
import com.olympus.hermione.client.AzureOpenApiChatClient;
import com.olympus.hermione.client.GoogleGeminiChatClient;
import com.olympus.hermione.client.OlympusChatClientResponse;
import com.olympus.hermione.dto.CanvasExecutionInput;
import com.olympus.hermione.dto.CanvasOutput;
import com.olympus.hermione.models.AiModel;
import com.olympus.hermione.repository.AiModelRepository;
@Service
public class CanvasExecutionService {
private final ChatModel chatModel;
@Autowired
public CanvasExecutionService(@Qualifier("openAiChatModel") ChatModel chatModel) {
this.chatModel = chatModel;
}
private AiModelRepository aiModelRepository;
private OlympusChatClient olympusChatClient = null;
private Logger logger = LoggerFactory.getLogger(CanvasExecutionService.class);
public CanvasOutput askHermione(CanvasExecutionInput canvasExecutionInput){
CanvasOutput canvasOutput = new CanvasOutput();
String input = canvasExecutionInput.getInput();
if(input != null){
Message userMessage = new UserMessage(input);
Message systemMessage = new SystemMessage("Please answer the question accurately.");
Prompt prompt = new Prompt(List.of(userMessage,systemMessage));
List<Generation> response = chatModel.call(prompt).getResults();
canvasOutput.setStringOutput(response.get(0).getOutput().getText());
return canvasOutput;
} else{
logger.error("Input is not correct");
canvasOutput.setStringOutput(null);
public OlympusChatClient createCanvasClient(AiModelRepository aiModelRepository){
AiModel aiModel = aiModelRepository.findByIsCanvasDefault(true);
if (aiModel == null) {
logger.error("No default AI model found");
throw new IllegalArgumentException("No default AI model found");
}
return canvasOutput;
if (aiModel.getApiProvider().equals("AzureOpenAI")) {
olympusChatClient = new AzureOpenApiChatClient();
}
if (aiModel.getApiProvider().equals("GoogleGemini")) {
olympusChatClient = new GoogleGeminiChatClient();
}
olympusChatClient.init(aiModel.getEndpoint(), aiModel.getApiKey(), aiModel.getMaxTokens());
return olympusChatClient;
}
public CanvasOutput askHermione(CanvasExecutionInput canvasExecutionInput){
try{
CanvasOutput canvasOutput = new CanvasOutput();
String input = canvasExecutionInput.getInput();
if(input != null){
olympusChatClient = createCanvasClient(aiModelRepository);
String userText = input;
String systemText = "Answer the following question using the language below using markdown: ";
OlympusChatClientResponse resp = olympusChatClient.getChatCompletion(systemText +"\n"+ userText);
canvasOutput.setStringOutput(resp.getContent());
return canvasOutput;
} else{
logger.error("Input is not correct");
canvasOutput.setStringOutput(null);
}
return canvasOutput;
} catch (Exception e){
logger.error("Error in askHermione: " + e.getMessage());
return null;
}
}
public CanvasOutput rephraseText(CanvasExecutionInput canvasExecutionInput) {
CanvasOutput canvasOutput = new CanvasOutput();
String input = canvasExecutionInput.getInput();
if(input != null){
Message userMessage = new UserMessage(input);
Message systemMessage = new SystemMessage("Please rephrase the following text: ");
Prompt prompt = new Prompt(List.of(userMessage,systemMessage));
List<Generation> response = chatModel.call(prompt).getResults();
canvasOutput.setStringOutput(response.get(0).getOutput().getText());
try{
CanvasOutput canvasOutput = new CanvasOutput();
String input = canvasExecutionInput.getInput();
if(input != null){
olympusChatClient = createCanvasClient(aiModelRepository);
String userText = input;
String systemText = "Rephrase the following text using the language below using markdown: ";
OlympusChatClientResponse resp = olympusChatClient.getChatCompletion(systemText+"\n"+userText);
canvasOutput.setStringOutput(resp.getContent());
return canvasOutput;
} else{
logger.error("Input is not correct");
canvasOutput.setStringOutput(null);
}
return canvasOutput;
} else{
logger.error("Input is not correct");
canvasOutput.setStringOutput(null);
} catch (Exception e){
logger.error("Error in rephraseText: " + e.getMessage());
return null;
}
return canvasOutput;
}
public CanvasOutput summarizeText(CanvasExecutionInput canvasExecutionInput) {
CanvasOutput canvasOutput = new CanvasOutput();
String input = canvasExecutionInput.getInput();
if(input != null){
Message userMessage = new UserMessage(input);
Message systemMessage = new SystemMessage("Please summarize the following text: ");
Prompt prompt = new Prompt(List.of(userMessage,systemMessage));
List<Generation> response = chatModel.call(prompt).getResults();
canvasOutput.setStringOutput(response.get(0).getOutput().getText());
try{
CanvasOutput canvasOutput = new CanvasOutput();
String input = canvasExecutionInput.getInput();
if(input != null){
olympusChatClient = createCanvasClient(aiModelRepository);
String userText = input;
String systemText = "Summarize the following text using the language below using markdown: ";
OlympusChatClientResponse resp = olympusChatClient.getChatCompletion(systemText+"\n"+userText);
canvasOutput.setStringOutput(resp.getContent());
return canvasOutput;
} else{
logger.error("Input is not correct");
canvasOutput.setStringOutput(null);
}
return canvasOutput;
} else{
logger.error("Input is not correct");
canvasOutput.setStringOutput(null);
} catch (Exception e){
logger.error("Error in summarizeText: " + e.getMessage());
return null;
}
return canvasOutput;
}
}