Commit Graph

5 Commits

Author SHA1 Message Date
sinohqb
7eae6de52d refactor(evaluation/storage): 结算统一与 repository 拆分(Phase 2 + 3)
合并两个不可分割的深化:

Phase 2 — 智能作业结算统一(ADR-0012)
- intelligence_jobs.execute(job_kind, campaign_id, ...) 作为结算的
  唯一实现:建行 → 认领 → 校验 → generating → 落账,一处编排、
  一处截断(500 字符)。两个 executor 退化为 ensure_queued /
  validate / work_fn 三个小 adapter。
- analysis.validate_analysis_request() 共享校验入口(活动终态 →
  模型),路由捕获映射 400、executor 捕获落 failed 行,与
  validate_comparison_request 先例同构。
- campaign_runner._auto_start_analysis 的跳过守卫收敛至
  auto_intelligence_eligible 单一判断点。
- comparison.py 删除零调用的 build_comparison_payload;
  load_comparison_view 投影归位至 campaign_read_model。
- 新增 characterization 测试(认领竞争、重复触发、截断、恢复上限)。

Phase 3 — storage/repository.py 拆分
- AsyncJobRepository 及两个子类迁至
  storage/async_job_repository.py(Phase 2 的 intelligence_jobs
  与 comparison 必须 import 自该路径,故与 Phase 2 同 commit)。
- ExplorationSession / ExplorationMessage 迁至
  storage/exploration_repository.py;repository.py 由 1180 行降至
  约 814 行,grep 确认无残留符号。
- exploration 子模块与路由 import 全部更新;测试 import 跟随。

刻意不做:CAS 共享原语、app.py 五 registry 关停顺序归一
(ADR-0006 精神,等真实需求出现再议)。
2026-08-24 05:50:27 +08:00
sinohqb
2e7d419f05 feat(intelligent-eval): implement monitoring and alerting (ticket 07)
- Add metrics.py with pool utilization, task backlog, stuck rate, avg processing time, eval completion rate
- Add alerts.py with alert rules (pool utilization > 90%, task backlog > 50, stuck rate > 10%)
- Implement alert history and webhook notifications
- Add metrics and alerts APIs
- Add database migration for alert history table
- Add 11 unit tests for metrics, 10 unit tests for alerts, 8 integration tests
- Update migration tests to include new alert history table

All 853 tests passing.
2026-08-12 10:41:15 +08:00
sinohqb
1aa453ef0a feat(intelligent-eval): add cron pool data model and task queue API
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
1317552701 feat(intelligent-eval): add backend for OpenClaw-driven intelligent evaluation (tickets 01-04)
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
sinohqb
6340ec503c feat(exploration): stateless patrol API with watermark increments
Resident agents call GET /api/exploration/patrol once per cycle to see
every running production-line campaign that opted into exploration
(seed set present), the new results since the last watermark (reusing
campaign report aggregation), and the remaining exploration budget.
The watermark advances after each call so subsequent calls only report
increments; accelerated and terminal campaigns are excluded.
2026-08-03 18:12:11 +08:00