Skip to content

When using the GenerateEmbedding method, errors were not being record… #1007

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Aug 28, 2025
Merged

When using the GenerateEmbedding method, errors were not being record… #1007

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
27 changes: 20 additions & 7 deletions java/src/main/java/com/genexus/db/GXEmbedding.java
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -60,31 +60,44 @@ public Float[] getFloatArray() {
return embedding.toArray(new Float[0]);
}

public static GXEmbedding generateEmbedding(GXEmbedding embeddingInfo, String text, GXBaseCollection<SdtMessages_Message> Messages) {
public static GXEmbedding generateEmbedding(GXEmbedding embeddingInfo, String text, GXBaseCollection<SdtMessages_Message> messages) {
try {
List<Float> embedding = getEmbedding(embeddingInfo.getModel(), embeddingInfo.getDimensions(), text);
List<Float> embedding = getEmbedding(embeddingInfo.getModel(), embeddingInfo.getDimensions(), text, messages);
embeddingInfo.setEmbedding(embedding);
}
catch (Exception ex) {
CommonUtil.ErrorToMessages("GenerateEmbedding Error", ex.getMessage(), Messages);
CommonUtil.ErrorToMessages("GenerateEmbedding Error", ex.getMessage(), messages);
}
return embeddingInfo;
}

public static List<Float> getEmbedding(String model, int dimensions, String input) {
public static List<Float> getEmbedding(String model, int dimensions, String input, GXBaseCollection<SdtMessages_Message> messages) {
if (input.isEmpty())
return new ArrayList<>();
ArrayList<String> inputList = new ArrayList<>();
inputList.add(input);
return getEmbedding(model, dimensions, inputList);
return getEmbedding(model, dimensions, inputList, messages);
}

public static List<Float> getEmbedding(String model, int dimensions, ArrayList<String> inputList) {
public static List<Float> getEmbedding(String model, int dimensions, ArrayList<String> inputList, GXBaseCollection<SdtMessages_Message> messages) {
OpenAIRequest aiRequest = new OpenAIRequest();
aiRequest.setModel(model);
aiRequest.setInput(inputList);
aiRequest.setDimension(dimensions);
OpenAIResponse aiResponse = SaiaService.call(aiRequest, true, new CallResult());
CallResult callResult = new CallResult();
OpenAIResponse aiResponse = SaiaService.call(aiRequest, true, callResult);

int i = 0 ;
while ( i < callResult.getMessages().size() )
{
SdtMessages_Message message = new SdtMessages_Message();
message.setgxTv_SdtMessages_Message_Id(callResult.getMessages().elementAt(i).getgxTv_SdtMessages_Message_Id());
message.setgxTv_SdtMessages_Message_Type(callResult.getMessages().elementAt(i).getgxTv_SdtMessages_Message_Type());
message.setgxTv_SdtMessages_Message_Description(callResult.getMessages().elementAt(i).getgxTv_SdtMessages_Message_Description());
messages.add(message);
i++ ;
}

if (aiResponse != null)
return aiResponse.getData().get(0).getEmbedding().stream()
.map(Double::floatValue)
Expand Down
3 changes: 2 additions & 1 deletion java/src/test/java/com/genexus/embedding/GXEmbeddingTest.java
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -19,7 +19,8 @@ public void EmbeddingTest(){
Connect.init();
LogManager.initialize(".");
Application.init(GXcfg.class);
List<Float> embedding = GXEmbedding.getEmbedding("openai/text-embedding-3-small", 512, "Hello World");
GXBaseCollection<SdtMessages_Message> AV7Messages = new GXBaseCollection<>();
List<Float> embedding = GXEmbedding.getEmbedding("openai/text-embedding-3-small", 512, "Hello World", AV7Messages);
String result = embedding.stream()
.map(String::valueOf)
.collect(Collectors.joining(","));
Expand Down
Loading