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@mart-r mart-r commented Jul 4, 2025

This time we're tackling arbitrary config conversion.

This will be useful for medcat service.

@mart-r mart-r merged commit 783a937 into main Jul 4, 2025
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@mart-r mart-r deleted the CU-8699np02n-improve-legacy-conversion branch July 4, 2025 15:00
mart-r added a commit that referenced this pull request Jul 4, 2025
* CU-8699np02n: Update CDB legacy conversion so that it works with CDBs with no name_isupper attribute

* CU-8699np02n: Add method to legacy converter to convert any config

* CU-8699np02n: Fix config legacy conversion

* CU-8699np02n: Add a few simple tests for Config legacy conversion

* CU-8699np02n: Add a little more sophistication to general config conversion tests
@mart-r mart-r restored the CU-8699np02n-improve-legacy-conversion branch July 4, 2025 15:16
parsa-hemmati pushed a commit to parsa-hemmati/cogstack-nlp that referenced this pull request Nov 21, 2025
Changes:
- Added 6 new tasks for Sprint 3 Phase 2 (Advanced Query Parsing)
- Fixed duplicate task ID CogStack#19 → renamed new task to CogStack#25
- Updated Next available ID: 26 → 31
- Updated header stats: 6 pending, 24 completed

Tasks Added:
- CogStack#25 [developer] QueryBuilder Basic Structure (2h)
- CogStack#26 [developer] Simple Keyword Query Building (2h)
- CogStack#27 [developer] Phrase Query Building (2h)
- CogStack#28 [developer] Field-Specific Query Building (2h)
- CogStack#29 [auditor] Review QueryBuilder compliance (1h)
- CogStack#30 [tester] QueryBuilder integration tests (2h)

Rationale:
- Continue Sprint 3 Full-Text Search implementation
- Phase 1 complete, Phase 2 next (Advanced Query Parsing)
- Tasks follow TDD approach (tests first)
- Include auditor and tester agents for validation
- Enable autonomous loop to continue development

Spec Reference:
- .specify/tasks/sprint-3-full-text-search-tasks.md (Phase 2)
- .specify/plans/sprint-3-full-text-search-plan.md (30 hours Phase 2)

Next Steps:
- Autonomous loop will spawn developer agent for task CogStack#25
- Continue through tasks CogStack#26-30 automatically
- No manual intervention required (following user feedback)
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2 participants