Add unit tests for vector database implementation #4091
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Purpose
This pull request adds unit tests for the vector database implementation in the
sweepai/core/vector_db.pyfile.Description
The unit tests cover the following key functionalities of the vector database:
embed_text_arrayandopenai_call_embeddingcosine_similarityandmulti_get_query_texts_similarityThe tests use the
pytestframework and mock the necessary dependencies, such as the OpenAI client and the cache.Summary
The changes in this pull request include:
sweepai/core/vector_db_test.pyfile with unit tests for the vector database implementationpytestfixturesSuggested changes from Sweep Chat by @kevinlu1248. Continue chatting at http://localhost:3000/c/b10a6c05-ad37-45e2-9d69-5626f19279c6.