merge dev to main

[ymc9]

Summary by CodeRabbit

• New Features
  • Enhanced unique constraint handling in policies by considering additional query parameters, improving data integrity and consistency.
• Tests
  • Updated integration tests to reflect new unique constraint logic, ensuring robustness and reliability of the feature.

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Walkthrough

Walkthrough

The recent modifications enhance the handling of unique constraints within the system. A key update is the introduction of an additional parameter, upstreamQuery, to a method responsible for detecting duplicate unique constraints. This enhancement allows for a more thorough examination by considering data from both creation and upstream queries. Furthermore, updates in integration tests reflect these changes by adding unique constraints and adjusting operations to manage duplicates more effectively, showcasing the system's improved capability in handling complex scenarios with unique constraints and policy filtering.

Changes

File(s)	Change Summary
packages/.../policy/handler.ts	Updated hasDuplicatedUniqueConstraint method in PolicyProxyHandler class to accept an upstreamQuery parameter, improving handling of unique constraints by considering both createData and upstreamQuery.
tests/.../deep-nested.test.ts	Modified to add a unique constraint on m2Id and value, update values in create and update operations, introduce new create operations with varied values, and refine handling of duplicates based on unique constraints and policy filtering.

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Review Status

Actionable comments generated: 1

Configuration used: CodeRabbit UI

Commits

Files that changed from the base of the PR and between 242ed43 and 9f89c7e.

Files selected for processing (2)

• packages/runtime/src/enhancements/policy/handler.ts (3 hunks)
• tests/integration/tests/enhancements/with-policy/deep-nested.test.ts (9 hunks)

Additional comments: 9

tests/integration/tests/enhancements/with-policy/deep-nested.test.ts (9)

• 55-55: Adding a unique constraint on m2Id and value fields in the M4 model is a significant change. It's crucial to ensure that all existing and new data conform to this constraint to avoid runtime errors or unexpected behavior.

Ensure that existing data in the database has been migrated or checked to comply with this new unique constraint before deploying these changes.

• 169-169: The addition of a new create operation with a distinct value ({ id: 'm4-2', value: 23 }) is a good practice for testing the handling of unique constraints. However, ensure that the test data is representative of real-world scenarios to maximize the effectiveness of these tests.
• 195-199: The use of connectOrCreate with distinct values ({ id: 'm4-new', value: 24 } and { id: 'm4-3', value: 25 }) is an excellent way to test the robustness of the unique constraint handling. It's important to cover edge cases in these tests to ensure the system behaves as expected under various conditions.
• 332-332: Creating a new entry in M4 with a distinct value (value: 24) for testing update operations is a good approach. It helps in validating the behavior of the system when dealing with updates that involve unique constraints.
• 451-453: The explicit setting of id values during create operations in tests (id: 1 and id: 2) is a good practice for ensuring predictability in test outcomes. However, it's essential to ensure that these id values do not conflict with existing data in the database to avoid flaky tests.

Consider using a database setup or teardown process that ensures a clean state for each test run to avoid potential conflicts with hardcoded id values.

• 501-503: The use of createMany with skipDuplicates: true and providing a mix of new and duplicate values is an effective way to test the handling of unique constraints. This approach ensures that the system can correctly identify and skip duplicates, preventing constraint violations.
• 514-534: Testing createMany with skipDuplicates: true in the context of a compound unique constraint involving a foreign key (m2Id) is crucial for ensuring the system's ability to handle complex unique constraint scenarios. This test case is well-designed to cover such scenarios.
• 597-597: Verifying the expected length of m4 records after a deleteMany operation is a good practice for ensuring that the system correctly handles deletions in the context of unique constraints and policy filtering. It's important to ensure that the deletion logic aligns with the defined policies and constraints.
• 614-614: Ensuring that the deleteMany operation reduces the number of records as expected is crucial for validating the system's behavior. This test case effectively confirms that deletions are processed correctly, respecting unique constraints and policies.