PR Bot testing

[langchain4j]

Test body

[github-actions]

test comment

[github-actions]

@ghuser352e787a[bio=,blog=,company=,email=,followers=0,following=0,hireable=false,location=,login=langchain4j,name=,type=User,createdAt=,id=132277850,nodeId=U_kgDOB-JmWg,updatedAt=,url=https://api.github.com/users/langchain4j] hi!

[github-actions]

Hi @langchain4j, thanks a lot for your PR!
It seems that tests are missing, could you please add them?

[github-actions]

Hi @langchain4j, thanks a lot for your PR!
It seems that tests are missing, could you please add them?

[github-actions]

Hi @langchain4j, thanks a lot for your PR!
It seems that tests are missing, could you please add them?

[github-actions]

Hi @langchain4j, thanks a lot for your PR! I'm a bot, here is an initial analysis of your PR:

Potential Issues

Potential Breaking Changes

• 🚨 The model and tokenizer file paths are now empty strings, which will cause the model to fail to load. This is a major breaking change as it renders the embedding model unusable.

Potential Design Issues

• 🚨 Hardcoding empty strings for model and tokenizer paths is a bad design choice. It makes the model unusable and is not configurable.

Potential Bugs

• 🚨 The model and tokenizer file paths are now empty strings, which will cause the model to fail to load. This will result in a runtime exception when the model is used.

Testing

Suggested Positive Test Scenarios

• • Given: A valid string is passed to the embedding model
  • When: The embedding model is called with a valid string.
  • Then: The model should produce a valid embedding vector.
• • Given: The embedding model is loaded successfully
  • When: The application starts and loads the embedding model.
  • Then: The model should be ready to generate embeddings.

Suggested Negative Test Scenarios

• • Given: The ONNX model file is not found or is corrupted
  • When: The application attempts to load the embedding model with a missing or invalid ONNX file.
  • Then: The embedding model should throw an exception or return an error indicating the model could not be loaded.
• • Given: The tokenizer file is not found or is corrupted
  • When: The application attempts to load the embedding model with a missing or invalid tokenizer file.
  • Then: The embedding model should throw an exception or return an error indicating the tokenizer could not be loaded.

Suggested Corner Case Test Scenarios

• • Given: An empty string is passed to the embedding model
  • When: The embedding model is called with an empty string.
  • Then: The model should still produce a valid embedding vector, possibly of all zeros or a predefined default vector.
• • Given: A very long string is passed to the embedding model
  • When: The embedding model is called with a string exceeding the expected length.
  • Then: The model should handle the long string without crashing or producing an invalid embedding. It might truncate the input or handle it according to its design.

Your PR contains production code changes: ✅

Changes in this PR are sufficiently tested: ❌
Changes in this PR are sufficiently documented: ❌