graph/db: add graph SQL migration rapid unit test #10073
Conversation
There was a problem hiding this comment.
Summary of Changes
Hello @ellemouton, 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 significantly enhances the testing suite for the graph SQL migration by introducing a property-based test. This new test uses the rapid library to generate random graph data, ensuring the migration process is robust and handles a wide array of valid and unexpected inputs, thereby increasing confidence in the migration's correctness.
Highlights
- New Property-Based Test: I've added a new unit test,
TestMigrateGraphToSQLRapid, which leverages therapidlibrary to perform property-based testing on the graph SQL migration. This test generates a wide variety of random nodes, channels, and policies, then verifies that the migration from the KV store to the SQL store preserves the graph state correctly. - Random Data Generation Helpers: New helper functions (
genRandomNode,genRandomChannel,genRandomPolicy) have been introduced to facilitate the generation of diverse, randomly structured graph data (nodes, channels, and policies) for the property-based tests, ensuring comprehensive coverage of edge cases. - Standardized Test Database Setup: The test database setup functions across KV, Postgres, and SQLite backends (
NewTestDB,NewTestDBFixture,NewTestDBWithFixture) have been refactored to provide a more consistent and flexible way to initialize test databases, especially when dealing with database fixtures for SQL-backed tests. - Improved Node Alias Generation: The
RandNodeAliasfunction inlnwire/test_utils.gohas been updated to use a defined character set for generating random node aliases, making the generation more robust and ensuring valid UTF-8 characters are used.
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 in your pull request via creating an issue comment (i.e. comment on the pull request page) using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands.
| 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 issue 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 is currently in preview and 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 to provide feedback.
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
-
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. ↩
There was a problem hiding this comment.
Code Review
This pull request introduces a property-based test for the graph SQL migration using the rapid library, which is a valuable addition for ensuring the migration's correctness against a wide range of inputs. The changes also include refactoring test database setup to reuse fixtures, which is a good performance improvement for the test suite. I've identified a few areas for improvement, mainly concerning test determinism and a misleading comment. Overall, the changes are well-implemented and enhance the project's test coverage.
ae06927 to
e0416d8
Compare
In preparation for tests where we will want to spin up SQL DBs many times, we do some refactoring so that it is easy to re-use postgres fixtures since those are expensive to spin up.
To ensure that the RandNodeAlias helper can be used elsewhere to generate random aliases, we adjust it in this test to only produce valid UTF-8 strings as required by the spec.
e0416d8 to
d7b8259
Compare
Here we add a new unit tests for the graph SQL migration that uses the
rapidlibrary to test the migration against randomly generated nodes/channels/policies.Part of #9795