Define supported shipment filters and their exact semantics
Different clients interpret date ranges and empty status lists differently.
- Focused work estimate
- 1h + prerequisites
- Priority in the scenario
- Medium
- Engineering practice
- API design
Estimated field mix
- API design100%
Field percentages are editorial estimates of the ticket's engineering focus. They total 100%; they are not measured time, proficiency scores, or ownership evidence.
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Project context
A fictional logistics platform lists shipments for partner dashboards. Offset pagination duplicates records during updates, while unrestricted filters create expensive database queries.
Setup prerequisites
- Create a local shipment dataset with synthetic tenants, equal timestamps, and concurrent update fixtures.
Preceding work
No earlier ticket is required. Complete the project setup above.
Acceptance criteria
- Specify inclusive and exclusive boundaries.
- Distinguish absent from empty filters.
- Reject unsupported filter properties.
Implementation constraints
- Use UTC instants for timestamp filters.
Verification to include
- Exercise a boundary timestamp.
- Reject an empty status list if the contract declares it invalid.
Deliverables
- Filter contract.
Rollout and recovery
Publish explicit examples before replacing legacy behavior.
Value of the work
For the engineer: Practice cursor design, query contracts, and consistency/performance tradeoffs.
For the team: Provide predictable list APIs that remain bounded and preserve tenant scope.
Evidence boundaries
Outcome Evidence: Tests, patches, and runbooks are requested deliverables. They become Outcome Evidence only through a qualified Mission and immutable Evidence IDs.
Ownership Evidence: Independent adaptation must be observed under a declared verification policy and cite immutable Evidence IDs. Completing a planning ticket establishes no Ownership Evidence.