Introduces matrix testing for various databases in our CI pipeline, significantly enhancing our testing strategy. By adding dedicated jobs for SQLite, PostgreSQL, MySQL, Microsoft SQL Server, and Oracle, we ensure that our code is compatible across multiple database systems.

Motivation:

1. Increased Coverage: The addition of matrix testing allows us to run our test suite against different database backends, ensuring that any database-specific issues are caught early in the development process.

2. Improved Reliability: By testing against multiple versions of Python and various database systems, we can guarantee that our application behaves consistently and correctly across environments, reducing the risk of production issues.

3. Encouraging Best Practices: This change encourages better coding practices by requiring that all interactions with the database are robust and well-tested, as we can identify failures specific to each database type.

4. Future-proofing: As we expand our application, supporting multiple databases ensures that we can cater to a wider audience, making our project more versatile and adaptable to different user needs.

Changes:

• Added individual test jobs for SQLite, PostgreSQL, MySQL, Microsoft SQL Server, and Oracle.
• Each job runs on multiple Python versions, ensuring compatibility across the latest Python releases.
• Configured health checks for each database service to ensure readiness before running tests.
• Standardized the installation of dependencies and testing commands across all database jobs.

This enhancement will lead to a more robust and versatile codebase, ultimately improving the overall quality of the project.