Sweep: add docstrings to vector_db.py

[wwzeng1]

Checklist

- [X] Create `sweepai/vector_db.py` ✓ https://github.com/sweepai/sweep/commit/e02e1d1e8d3c9747a6fcdf6ca0d091f3d2404fa7 [Edit](https://github.com/sweepai/sweep/edit/sweep/add_docstrings_to_vector_dbpy/sweepai/vector_db.py) - [X] Running GitHub Actions for `sweepai/vector_db.py` ✓ [Edit](https://github.com/sweepai/sweep/edit/sweep/add_docstrings_to_vector_dbpy/sweepai/vector_db.py)

[sweep-nightly[bot]]

🚀 Here's the PR! #3145

See Sweep's progress at the progress dashboard!

💎 Sweep Pro: I'm using GPT-4. You have unlimited GPT-4 tickets. (tracking ID: None)

---

[!TIP] I can email you next time I complete a pull request if you set up your email here!

---

Actions (click)

• [ ] ↻ Restart Sweep

---

Step 1: 🔎 Searching

I found the following snippets in your repository. I will now analyze these snippets and come up with a plan.

Some code snippets I think are relevant in decreasing order of relevance (click to expand). If some file is missing from here, you can mention the path in the ticket description.

https://github.com/sweepai/sweep/blob/b0a5427f1552f6744ac6b026e3245871442c397b/tests/archive/test_weaviate.py#L1-L49 https://github.com/sweepai/sweep/blob/b0a5427f1552f6744ac6b026e3245871442c397b/docs/pages/blogs/refactor-python.mdx#L50-L100 https://github.com/sweepai/sweep/blob/b0a5427f1552f6744ac6b026e3245871442c397b/tests/archive/test_search.py#L1-L40 https://github.com/sweepai/sweep/blob/b0a5427f1552f6744ac6b026e3245871442c397b/tests/archive/additional_modify_prompt.txt#L1-L23 https://github.com/sweepai/sweep/blob/b0a5427f1552f6744ac6b026e3245871442c397b/sweepai/agents/assistant_functions.py#L1-L69 https://github.com/sweepai/sweep/blob/b0a5427f1552f6744ac6b026e3245871442c397b/tests/archive/test_cst_splitter.py#L1-L278 https://github.com/sweepai/sweep/blob/b0a5427f1552f6744ac6b026e3245871442c397b/sweepai/agents/assistant_function_modify.py#L1-L52

---

Step 2: ⌨️ Coding

• [X] Create sweepai/vector_db.py ✓ https://github.com/sweepai/sweep/commit/e02e1d1e8d3c9747a6fcdf6ca0d091f3d2404fa7 Edit

  Create sweepai/vector_db.py with contents:
  • Begin by adding a module-level docstring at the top of the `vector_db.py` file, explaining the purpose of the module and any important information about its usage.
  • For each class in the file, add a class-level docstring immediately below the class definition. The docstring should describe the purpose of the class and any important attributes or behaviors.
  • Within each class, add method-level docstrings for every public method (those not prefixed with an underscore). The docstring should explain what the method does, its parameters, any exceptions it may raise, and what it returns.
  • For standalone functions in the module, add function-level docstrings that describe the purpose of the function, its parameters, any exceptions it may raise, and its return value.
  • Ensure that all docstrings are formatted correctly with triple quotes and are placed immediately below the class or function signature.
  • Use descriptive language that provides clear and useful information to anyone who might use or modify the code in the future.
  • If there are any complex algorithms or data structures used within the functions or methods, include a brief explanation within the docstring.
  • After adding docstrings, review the entire file to ensure consistency in style and level of detail across all docstrings.

• [X] Running GitHub Actions for sweepai/vector_db.py ✓ Edit

  Check sweepai/vector_db.py with contents:

Ran GitHub Actions for e02e1d1e8d3c9747a6fcdf6ca0d091f3d2404fa7:
• Vercel Preview Comments: ✓

---

Step 3: 🔁 Code Review

I have finished reviewing the code for completeness. I did not find errors for sweep/add_docstrings_to_vector_dbpy.

---

🎉 Latest improvements to Sweep:

• New dashboard launched for real-time tracking of Sweep issues, covering all stages from search to coding.
• Integration of OpenAI's latest Assistant API for more efficient and reliable code planning and editing, improving speed by 3x.
• Use the GitHub issues extension for creating Sweep issues directly from your editor.

💡 To recreate the pull request edit the issue title or description. ^{Something wrong? Let us know.}

This is an automated message generated by Sweep AI.