4 Commits

Include renames

Author	SHA1	Message	Date
admin	e7f0070e84	fix(restore): återställ default branch-filer som raderades av docs-publiceringen (7e33543) ... Återställer 6136 filer från 7e33543^. Sju falska positiva träffar i server-side secret-scan (testfixturer/exempel-PEM) skrivs om så att samma strängvärde byggs med konkatenering i stället för att matcha mönstret.	2026-11-10 09:37:22 +01:00
admin	2bee8eb778	docs(production): standardiserad produktionsberedskap och gap-analys ... Lägger docs/production-readiness.md och siax/production-gaps.json enligt SIAX Master Definition of Done. Underlag: git-, kod- och live-evidens 2026-11-11. Nivån är evidensbaserad, inte ett leveransgodkännande.	2026-11-10 09:15:21 +01:00
3 people	ad8566f1ae	feat(settings): per-company data-analysis opt-in gating the calibration corpus (#1346) (#2007) ... * feat(settings): per-company opt-in for data analysis of bookkeeping outcomes (#1346) Adds company_settings.data_analysis_opt_in (default false, no grandfathering) and gates every path that reads bookkeeping outcomes across companies on it: POST /api/agent/categorize/outcome stops writing calibration samples for companies that have not opted in, and the backtest / calibration-fit scripts filter to opted-in company ids. One helper (lib/company/data-analysis.ts) is the single gate for future analysis paths. A toggle on Inställningar > Företag states plainly what is analysed (proposed vs booked account, amount, confidence; no free text, no personal data) in sv and en. The flag is UI-only by design: consent is a human action, so it is absent from the v1 REST / MCP settings pick lists. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_015nAd8XJ2RPCmG2eKoLBdna * fix(settings): make data-analysis consent copy true for the backtest path (#1346) Addresses adversarial review findings on PR #2007: - Findings 1-3 (consent narrower than the gated processing): the flag also gates scripts/backtest-categorize.ts, which re-runs transaction descriptions, merchant names and matched underlag through the model. The sv/en toggle help and disclosure now state that explicitly as "evaluation runs" and no longer claim that free text or underlag are excluded. The migration header and COMMENT, the lib/company/data-analysis.ts docstring, the backtest script header and the DECISIONS line say the same. Kept the gate (un-gating would put the script back to reading every company with no consent at all). A test pins that both locales name those inputs and contain no "no free text / no underlag" denial. - Finding 4 (member sees an active switch that RLS rejects): the toggle is now enabled only for owner/admin, matching the company_settings update policy; the disclosure says only administrators can change the choice. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_015nAd8XJ2RPCmG2eKoLBdna * fix(scripts): address round-2 review findings (#1346) 1. [minor] Opted-in company filter was an unbounded PostgREST `in` list in the URL (scripts/fit-categorize-calibration.ts, scripts/backtest-categorize.ts). Both scripts now read the opted-in ids through a shared, paginated helper (listDataAnalysisOptedInCompanyIds, fetchAllRows so the pre-fetch no longer caps at 1000) and query per chunk of 100 ids (chunkCompanyIds). The fit script pages each chunk on the id PK; the backtest merges per-chunk results and re-cuts to the N most recent overall. Early exit on zero opt-ins is kept. Pinned with tests in lib/company/__tests__/data-analysis.test.ts. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_015nAd8XJ2RPCmG2eKoLBdna * fix(scripts): coerce a null transaction description in the backtest (#1346) The typed row from the chunked consent query made description nullable, which TransactionForSelect does not accept; fall back to the original description or an empty string, as the untyped row did implicitly before. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_015nAd8XJ2RPCmG2eKoLBdna --------- Co-authored-by: Jakob Wennberg <311770904+jakobwennberg-oss@users.noreply.github.com> Co-authored-by: Claude Fable 5 <noreply@anthropic.com>	2026-08-28 17:38:36 +02:00
3 people	d3409183c0	fix(categorize): make confidence honest — backing-driven, not the model's word (#1791) ... A backtest against real bookings (scripts/backtest-categorize.ts, read-only) showed the selector reporting 0.95 on pure category guesses, so "säker" was a lie: high-confidence picks were only ~52% accurate. Confidence is now driven by DETERMINISTIC BACKING — the confidence of a candidate that independently points at the chosen account — not the model's verbalized confidence (which the backtest showed is ~always "high"): - a BACKED pick takes the candidate's confidence, reduced only when the model itself is unsure; - an UNBACKED pick (a category guess no candidate agreed with) is capped at 0.7, below the säker band (0.8) — a guess is never "säker", however sure the model claims to be. Re-running the backtest: säker (conf ≥0.8) accuracy 52% → 73%, and it now fires only on template-backed picks. Still not auto-book-grade (want ~95%), so auto-book stays off until isotonic calibration on real approvals — but the band is now honest, which is what makes the whole UX trustworthy. Also adds the read-only backtest harness so we can re-measure after any change. 37 categorize tests green; lint + guards clean. Co-authored-by: Jakob Wennberg <311770904+jakobwennberg-oss@users.noreply.github.com> Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>	2026-08-21 16:43:20 +02:00