Implement time-bucketed ban aggregation for dashboard trend charts: - Add BanTrendBucket / BanTrendResponse Pydantic models and BUCKET_SECONDS / BUCKET_SIZE_LABEL / bucket_count helpers to ban.py - Add ban_service.ban_trend(): queries fail2ban DB with SQL bucket grouping, fills zero-count buckets, respects origin filter - Add GET /api/dashboard/bans/trend route in dashboard.py - 20 new tests (10 service, 10 router); 480 total pass, 83% coverage - ruff + mypy --strict clean
26 KiB
26 KiB