AgentEvalTool/backend/agenteval/evaluation
sinohqb f433ebb970 feat(campaigns): dual-axis periodic report (time trend + capability)
Add generate_campaign_report: a pure aggregator over a campaign's child Runs
producing a time-trend axis (Runs bucketed by service-window position) and a
capability-summary axis (grouped by scenario), each carrying pass_rate /
availability / latency. pass_rate keeps the single-Run case-level meaning and
counts execution failures as 0.0 (ADR-0002); time_scale only places Runs into
window-time buckets and never alters any figure. Engine summary now records
avg_latency_ms to feed the latency axis.

Expose GET /api/campaigns/{id}/report (structured) and .../report/markdown
(reusing the existing Markdown export path). Adds "可用性/Availability" to the
domain glossary.
2026-07-30 13:55:32 +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(campaigns): dual-axis periodic report (time trend + capability) 2026-07-30 13:55:32 +08:00
judgement.py refactor(judgement): converge case-pass decision into one deep module 2026-07-29 19:45:02 +08:00
report.py feat(campaigns): dual-axis periodic report (time trend + capability) 2026-07-30 13:55:32 +08:00