LanceDB Integration

[PrashantDixit0]

Type

Enhancement

---

Description

This PR introduces LanceDB integration into the pr_agent tool. The most significant changes include:

• The pr_agent/tools/pr_similar_issue.py file has been updated to support both Pinecone and LanceDB as vector databases. This is controlled by the pr_similar_issue.vectordb setting.
• New methods _update_table_with_issues for indexing issues in LanceDB have been added.
• The run method has been updated to support querying from both Pinecone and LanceDB.
• The documentation file docs/SIMILAR_ISSUE.md has been updated to include information about the new LanceDB integration.
• The configuration file pr_agent/settings/configuration.toml has been updated to include a new setting vectordb under pr_similar_issue and a new section for lancedb settings.
• The requirements.txt file has been updated to include the lancedb package.

---

PR changes walkthrough

	Relevant files
Enhancement	1 files pr_similar_issue.py                                                                                  pr_agent/tools/pr_similar_issue.py **The file pr_agent/tools/pr_similar_issue.py has been significantly updated to support LanceDB integration. The changes include: Added import lancedb at the top of the file. Modified the PRSimilarIssue class to support both Pinecone and LanceDB as vector databases. This is controlled by the pr_similar_issue.vectordb setting. Added new methods _update_table_with_issues for indexing issues in LanceDB. Updated the run method to support querying from both Pinecone and LanceDB.** +271/-86
Documentation	1 files SIMILAR_ISSUE.md                                                                                        docs/SIMILAR_ISSUE.md The documentation file docs/SIMILAR_ISSUE.md has been updated to include information about the new LanceDB integration. +9/-1
Configuration changes	1 files configuration.toml                                                                                    pr_agent/settings/configuration.toml The configuration file pr_agent/settings/configuration.toml has been updated to include a new setting vectordb under pr_similar_issue and a new section for lancedb settings. +3/-0
Dependencies	1 files requirements.txt                                                                                        requirements.txt The requirements.txt file has been updated to include the lancedb package. +1/-0

[codiumai-pr-agent-pro]

PR Description updated to latest commit (1d435ef)

[codiumai-pr-agent-pro]

PR Analysis

• 🎯 Main theme: Integration of LanceDB into the pr_agent tool
• 📝 PR summary: This PR introduces the integration of LanceDB into the pr_agent tool. It includes changes to support both Pinecone and LanceDB as vector databases, new methods for indexing issues in LanceDB, and updates to the run method to support querying from both databases. The documentation and configuration files have also been updated to reflect these changes.
• 📌 Type of PR: Enhancement
• 🧪 Relevant tests added: No
• ⏱️ Estimated effort to review [1-5]: 4, because the PR introduces a significant amount of new code, including the integration of a new database, which requires a thorough understanding of the existing codebase and the new database's functionality.
• 🔒 Security concerns: No security concerns found

PR Feedback

• 💡 General suggestions: The PR is well-structured and the changes are logically grouped. However, it would be beneficial to include tests to validate the new functionality and ensure that it integrates correctly with the existing codebase. Additionally, error handling could be improved in some areas to provide more informative error messages.

• 🤖 Code feedback:

  ---

  relevant file	pr_agent/tools/pr_similar_issue.py
  suggestion	Consider adding more specific error messages when exceptions are raised. This will help in debugging and understanding the exact issue when an error occurs. For example, in the try-except block where you are trying to get the Pinecone API key and environment, the error message could include the name of the missing key. [medium]
  relevant line	raise Exception("Please set pinecone api key and environment in secrets file")

  ---

  relevant file	pr_agent/tools/pr_similar_issue.py
  suggestion	It seems like the run_from_scratch variable is used for debugging purposes. It would be better to control this via a configuration setting or a command-line argument rather than changing the code. This would make it easier to switch between modes without modifying the code. [medium]
  relevant line	run_from_scratch = False

  ---

  relevant file	pr_agent/tools/pr_similar_issue.py
  suggestion	The run method has become quite long and complex with the addition of LanceDB support. Consider refactoring this method to improve readability and maintainability. You could extract the Pinecone and LanceDB specific code into separate methods. [important]
  relevant line	async def run(self):

  ---

  relevant file	pr_agent/tools/pr_similar_issue.py
  suggestion	The get_settings().pr_similar_issue.vectordb is checked multiple times to decide between Pinecone and LanceDB. This could be improved by using a strategy pattern or a factory pattern to create a Vectordb interface and then have PineconeVectordb and LanceDBVectordb classes that implement this interface. This would make the code more modular and easier to extend with other databases in the future. [important]
  relevant line	if get_settings().pr_similar_issue.vectordb == "pinecone":

  ---

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[mrT23]

Hi @PrashantDixit0
Thanks for the contribution

1. i started reviewing the PR. One thing I noticed is that you must set the baste folder to the root folder.
   When I tried running it from ./pr_agent/, I got an error. i hope this won't create problems during deployment

2. I tested both tools on the following issue:
   Issue with GitHub Action and GPT Model Selection #538

Both pinecone and lancedb returned the same 5 op results 👍

[mrT23]

3. when there is no new issues, lancdb uses the old index 👍

4. I opened a new issue, to see how the db is updated. this is what I got:

is this the expected output ? why there is a line:` Table codium-ai-pr-agent-issues doesn't exists!` ?

5. when I re-run the issue, I still get the same response. i think its a problem. the DB should be updated after a call with the new issues

[PrashantDixit0]

LanceDB saves everything locally

[PrashantDixit0]

I'll check to update new issues in Table

[mrT23]

locally is ok for CLI, but when working the github app or github action, a local database is not possible.
Please state in the readme that lanceDB is a local database, so more suited for CLI.
due to that, i want the default to remain pinecone, since it is more suitable for an application.

but other than that, the PR looks very good. its very nice to work with lanceDB, without needing any key or stuff like that.
the readme can also state that for local CLI testing, lancedb is easier

[PrashantDixit0]

Thank you @mrT23 , I'll state about LanceDB in README. LanceDB is working on bringing a high-speed, scalable, and serverless cloud-based system, we can integrate it once it is released.

Btw, when can we merge this PR for local testing

[mrT23]

@PrashantDixit0 change back the default to pinecone (so the app would still work), and I think we can merge.
If you want to continue to improve it after that, you are welcome

[PrashantDixit0]

Sure @mrT23, I change default to pinecone and I am really interested in continue improving the amazing PR-agent

[PrashantDixit0]

Done