AgentEvalTool/backend/agenteval/evaluation
sinohqb 8910fd17e0 feat(campaigns): durable scheduler loop with restart recovery and cancel
Add a thin async loop (run_campaign_loop) that ticks on real wall-clock time,
maps elapsed×time_scale to a window offset via the pure decide_schedule, spawns
due child Runs, and marks the campaign COMPLETED at window end. All authority
lives in the DB (started_at, spawned_indices, status), so the app lifespan can
resume every RUNNING campaign on startup without double-spawning and stop all
loops gracefully on shutdown. A failing plan entry is skipped and recorded
rather than wedging the campaign.

Creating a campaign now starts its loop; POST /api/campaigns/{id}/cancel stops
further spawning (completed child Runs are kept); GET /api/campaigns/{id}
reports live progress (window offset, spawned/completed Run counts).
2026-07-30 13:33:10 +08:00
..
rules feat(models): add centralized model configuration 2026-07-17 20:02:43 +08:00
__init__.py v0.2.0-dev: 文件管理 + 页面布局统一 + 6 个 bug 修复 2026-07-16 15:25:22 +08:00
campaign_runner.py feat(campaigns): durable scheduler loop with restart recovery and cancel 2026-07-30 13:33:10 +08:00
campaign_scheduler.py feat(campaigns): add scheduling decision and child-Run spawning 2026-07-30 12:06:31 +08:00
engine.py feat(engine): make poll_reply timeout configurable via env 2026-07-30 09:58:08 +08:00
judgement.py refactor(judgement): converge case-pass decision into one deep module 2026-07-29 19:45:02 +08:00
report.py refactor(judgement): converge case-pass decision into one deep module 2026-07-29 19:45:02 +08:00