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@sweep-nightly sweep-nightly bot commented Jun 21, 2024

Purpose

This pull request adds unit tests for the vector database implementation in the sweepai/core/vector_db.py file.

Description

The unit tests cover the following key functionalities of the vector database:

  • Embedding functions: embed_text_array and openai_call_embedding
  • Similarity search: cosine_similarity and multi_get_query_texts_similarity
  • Caching: Verifying the caching behavior
  • Error handling: Testing the error handling for various exceptions

The tests use the pytest framework and mock the necessary dependencies, such as the OpenAI client and the cache.

Summary

The changes in this pull request include:

  • Added sweepai/core/vector_db_test.py file with unit tests for the vector database implementation
  • Mocked the necessary dependencies (OpenAI client, cache) using pytest fixtures
  • Wrote test cases for embedding, similarity search, caching, and error handling

Suggested changes from Sweep Chat by @kevinlu1248. Continue chatting at http://localhost:3000/c/b10a6c05-ad37-45e2-9d69-5626f19279c6.

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2 participants