Skip to content

refactor: add configurable result options for ExecuteSql tests#2271

Merged
duwenxin99 merged 2 commits into
mainfrom
test-option
Jan 7, 2026
Merged

refactor: add configurable result options for ExecuteSql tests#2271
duwenxin99 merged 2 commits into
mainfrom
test-option

Conversation

@duwenxin99

@duwenxin99 duwenxin99 commented Jan 7, 2026

Copy link
Copy Markdown
Contributor

Adds WithExecuteCreateWant, WithExecuteDropWant, and WithExecuteSelectEmptyWant to RunExecuteSqlToolInvokeTest to allow sources like Snowflake to validate specific DDL/DML status responses instead of defaulting to null.

@duwenxin99 duwenxin99 requested a review from a team January 7, 2026 21:36
@gemini-code-assist

Copy link
Copy Markdown
Contributor

Summary of Changes

Hello @duwenxin99, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request refactors the ExecuteSql test suite to enhance its flexibility and accuracy. By introducing configurable options for expected DDL and DML operation results, the tests can now validate specific status responses from various database sources, such as Snowflake, rather than relying on a generic null expectation. This change improves the robustness of the testing framework for SQL execution.

Highlights

  • Configurable Test Options: Introduced new fields (createWant, dropWant, selectEmptyWant) to ExecuteSqlTestConfig to allow specific expected results for DDL/DML operations in tests.
  • New Test Configuration Functions: Added WithExecuteCreateWant, WithExecuteDropWant, and WithExecuteSelectEmptyWant functions to provide options for setting the expected outcomes for CREATE, DROP, and SELECT from empty table statements.
  • Dynamic Test Assertions: Updated RunExecuteSqlToolInvokeTest to utilize these new configurable options, replacing the previous hardcoded 'null' expectation with dynamic values for more accurate testing, especially for databases like Snowflake.

🧠 New Feature in Public Preview: You can now enable Memory to help Gemini Code Assist learn from your team's feedback. This makes future code reviews more consistent and personalized to your project's style. Click here to enable Memory in your admin console.

Using Gemini Code Assist

The full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips.

Invoking Gemini

You can request assistance from Gemini at any point by creating a comment using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands on the current page.

Feature Command Description
Code Review /gemini review Performs a code review for the current pull request in its current state.
Pull Request Summary /gemini summary Provides a summary of the current pull request in its current state.
Comment @gemini-code-assist Responds in comments when explicitly tagged, both in pull request comments and review comments.
Help /gemini help Displays a list of available commands.

Customization

To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a .gemini/ folder in the base of the repository. Detailed instructions can be found here.

Limitations & Feedback

Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for Github and other Google products, sign up here.

You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension.

Footnotes

  1. Review the Privacy Notices, Generative AI Prohibited Use Policy, Terms of Service, and learn how to configure Gemini Code Assist in GitHub here. Gemini can make mistakes, so double check it and use code with caution.

@gemini-code-assist gemini-code-assist Bot left a comment

Copy link
Copy Markdown
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Code Review

This pull request introduces configurable expected results for ExecuteSql tests, specifically for CREATE, DROP, and empty SELECT statements. The implementation correctly uses the functional options pattern, which is consistent with the existing testing framework. The changes are clear, well-structured, and improve the flexibility of the test suite, allowing for better validation against different SQL sources. The new options have sensible defaults, ensuring backward compatibility with existing tests. Overall, this is a solid refactoring that enhances the test infrastructure.

@duwenxin99 duwenxin99 enabled auto-merge (squash) January 7, 2026 21:59
@duwenxin99 duwenxin99 merged commit 4d3332d into main Jan 7, 2026
12 checks passed
@duwenxin99 duwenxin99 deleted the test-option branch January 7, 2026 22:30
ravisiddhu pushed a commit to ravisiddhu/genai-toolbox that referenced this pull request Jan 8, 2026
…eapis#2271)

Adds WithExecuteCreateWant, WithExecuteDropWant, and
WithExecuteSelectEmptyWant to RunExecuteSqlToolInvokeTest to allow
sources like Snowflake to validate specific DDL/DML status responses
instead of defaulting to null.
divitwork pushed a commit to divitwork/genai-toolbox that referenced this pull request Jan 9, 2026
…eapis#2271)

Adds WithExecuteCreateWant, WithExecuteDropWant, and
WithExecuteSelectEmptyWant to RunExecuteSqlToolInvokeTest to allow
sources like Snowflake to validate specific DDL/DML status responses
instead of defaulting to null.
divitwork pushed a commit to divitwork/genai-toolbox that referenced this pull request Jan 9, 2026
…eapis#2271)

Adds WithExecuteCreateWant, WithExecuteDropWant, and
WithExecuteSelectEmptyWant to RunExecuteSqlToolInvokeTest to allow
sources like Snowflake to validate specific DDL/DML status responses
instead of defaulting to null.
vinodhinic pushed a commit to vinodhinic/genai-toolbox that referenced this pull request Jan 14, 2026
…eapis#2271)

Adds WithExecuteCreateWant, WithExecuteDropWant, and
WithExecuteSelectEmptyWant to RunExecuteSqlToolInvokeTest to allow
sources like Snowflake to validate specific DDL/DML status responses
instead of defaulting to null.
mahlevanshika pushed a commit to mahlevanshika/genai-toolbox that referenced this pull request Jan 22, 2026
…eapis#2271)

Adds WithExecuteCreateWant, WithExecuteDropWant, and
WithExecuteSelectEmptyWant to RunExecuteSqlToolInvokeTest to allow
sources like Snowflake to validate specific DDL/DML status responses
instead of defaulting to null.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

3 participants