-
Phase 3: AI-augmented asset management complete
released this
2026-04-20 00:27:11 +00:00 | 528 commits to main since this release50 tasks shipped:
- fusion.asset.engine 7-method API (compute_schedule, post_depreciation,
dispose, partial_sale, pause, resume, reverse_disposal) - 3 depreciation methods (straight-line, declining-balance, units-of-production)
- 6 persisted models (asset, depreciation_line, category, disposal,
anomaly, MV) + engine AbstractModel - AI: anomaly detection + LLM-suggested useful life with templated fallback
- 8 JSON-RPC endpoints + reactive frontend service
- 6 OWL components + SCSS + dark mode
- 4 wizards (creation, disposal, partial sale, depreciation run)
- Migration wizard backfill from account.asset (verified live: 2 records)
- Audit PDF report
- Coexistence with Enterprise account_asset
- 141 logical tests passing, 0 failures, 0 errors
- All P95 perf metrics within 1x of budget:
compute_schedule(10yr SL): 1ms (target 500ms)
post_depreciation_entry: <1ms (target 300ms)
dispose_asset: 5ms (target 300ms)
controller.list: 38ms (target 300ms)
controller.get_detail: 39ms (target 500ms)
Downloads
- fusion.asset.engine 7-method API (compute_schedule, post_depreciation,