sinohqb
fe3399297c
feat(intelligent-eval): implement decision logic and e2e flow (ticket 04)
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- Add decision.py with worker decision logic (execute_session/wait/start_analysis)
- Implement time slot parsing and current slot detection
- Implement session deficit calculation per time slot
- Implement high severity issue detection
- Implement eval completion detection
- Add 12 unit tests for decision logic
- Add 2 end-to-end tests for complete lifecycle
All 798 tests passing.
2026-08-12 10:10:42 +08:00
sinohqb
2ff023a65b
feat(intelligent-eval): implement cron pool management (ticket 02)
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- Add OpenClawClient wrapping CLI commands (create/delete/list crons)
- Implement pool initialization, scale up/down, auto-scaling logic
- Implement cron state sync and stuck cron detection
- Add pool status and manual scaling APIs
- Add 13 unit tests and 5 integration tests
Pool automatically scales between 5-20 crons based on load.
All 778 tests passing.
2026-08-12 09:47:04 +08:00
sinohqb
1aa453ef0a
feat(intelligent-eval): add cron pool data model and task queue API
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Implement Ticket 01 of intelligent eval cron pool architecture (ADR-0007):
- Add 4 new tables: task_queue, cron_pool, config_snapshots, decision_logs
- Implement task enqueueing logic with priority calculation
- Implement task assignment and completion APIs
- Add unit tests (9) and integration tests (7)
- Update CONTEXT.md with new vocabulary
- Add ADR-0007 documenting cron pool architecture decision
All 760 tests passing.
2026-08-12 02:13:21 +08:00
sinohqb
62485684ca
fix(architecture): enforce lifecycle consistency
2026-08-07 10:59:27 +08:00
sinohqb
c896ab3f71
refactor(architecture): deepen evaluation lifecycle and read model
2026-08-07 03:11:37 +08:00
sinohqb
1317552701
feat(intelligent-eval): add backend for OpenClaw-driven intelligent evaluation (tickets 01-04)
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Introduce 智能评估 as an evaluation paradigm parallel to static evaluation,
driven by OpenClaw. The platform supplies storage, lifecycle, and reporting;
OpenClaw plans and executes.
- Data model: IntelligentEval + Session + Message tables (new, not reusing exploration)
- Lifecycle state machine: draft → planning → pending_approval → executing → completed/cancelled/failed
- Session API: create/message (channel-forwarded)/close with turn accounting
- Report API: pydantic-validated structured report, executing → completed, Markdown export (pure renderer)
- Alembic migration for the three tables; domain glossary added to CONTEXT.md
2026-08-05 03:18:52 +08:00
