Each Evaluation grows a componentSummary field — a small list of
plain strings, one per SKM ingredient (P / F / T / h), tagged
with its tier in the form 'P · T1 — DESTATIS Gewerbeanzeigen'.
The fixtures fill it in for all five pilot norms; the field
defaults to an empty list so flow-produced Evaluations remain
backwards-compatible until a future flow step writes one.
NormsListPage re-arranges the row to make use of the wide-screen
real-estate on the right that used to sit empty:
┌─────────────────────────────────────────────────────────────┐
│ GewO § 14 — Anzeigepflicht │ Schaden │ Komponenten │
│ eli/bund/gewo/14 │ 2.8 Mio € │ P · T1 … │
│ [T1 · amtlich] │ Nutzen │ F · T1 … │
│ │ 2.5 / 5 │ T · T1 … │
│ │ Betroffene │ h · T3 … │
│ │ 180 k │ │
└─────────────────────────────────────────────────────────────┘
The TierBadge moved into the title column (right under the eli)
so the eye lands on the tier of the figure right where the
figure's identity is named. The three metric columns stack
vertically (no more horizontal-only row) which leaves the right
third of the row free for the componentSummary lines — the
information a reviewer was always asking for ('which Komponente
is the bottleneck here?') is now visible without opening the
detail page.
Signed-off-by: flemming-it <sf@flemming.it>
Recl∆Im — the F∆I product line for Pflicht-basierte
Wirkungsanalyse und Reform-Vorschlags-Pipelines. Replaces the
working title 'Law-Heatmap', which described the demo view
rather than the platform. Heatmap, Norms list, Hub view,
Methodik are now four panes of the same Recl∆Im app.
Renames in this commit:
Flutter package lawheatmap_app -> reclaim_app
macOS bundle id ai.flemming.lawheatmapApp -> ai.flemming.reclaim
macOS PRODUCT_NAME lawheatmap_app -> reclaim_app
Theme tokens LawHeatmapColors/Space/Radius/Typography/Theme
-> Reclaim*
Surface card LawHeatmapCard -> ReclaimCard
Top-level widget LawHeatmapApp -> ReclaimApp
Theme files lawheatmap_theme.dart/lawheatmap_tokens.dart
-> reclaim_theme.dart/reclaim_tokens.dart
Widget file lawheatmap_card.dart -> reclaim_card.dart
Build script build-macos.sh paths and headline string
Docs MACHBARKEITSSTUDIE.md, METHODIK.md, RUN.md,
app/README.md, flow YAML
UI strings 'F∆I Law-Heatmap' / 'Law-Heatmap'
-> 'Recl∆Im' / 'Recl∆Im (F∆I)' for vendor-
prefixed contexts
flutter analyze: clean. flutter test: 2/2 passing.
The local working directory stays fai_lawheatmap/ for now —
the dir is referenced by the .claude project metadata; renaming
it would break session continuity for no real gain. The Forgejo
repo was renamed via API in the same change-set (fai/lawheatmap
-> fai/reclaim), with the legacy slug serving a redirect
courtesy of Forgejo's built-in rename handling.
Signed-off-by: flemming-it <sf@flemming.it>
First end-to-end-buildable cut of the pflicht-/graph-basierte
Wirkungsanalyse von Rechtsnormen, running on Ch∆In. Demo runs
without external dependencies and without a hub connection so
the methodology + UI stack can be reviewed before any Verbands-
Kooperation or Beirats-Validierung kicks in.
Tree layout
MACHBARKEITSSTUDIE.md v0.3 — pflicht-basierte Methodik,
4-Tier-Evidenz, 8 law*-Module
auf Ch∆In statt der alten F∆I-
Plattform.
RUN.md one-page how-to-run.
flows/durchstich-gewo-14.yaml
vertical Phase-0 flow: pull →
normalize → duties → citations →
cohort → skm → frust → benefit →
attribution → system.approval.
app/ Flutter macOS client, design
language pulled from fai_web
(ink #08090A, paper #F4F3EF,
petrol signal #2E8F9E). Mock
repository ships five fixture
norms with real source URLs and a
permanent T4 demo-banner so no
figure can be mistaken for a
validated one.
Module repos (separate, see chain-modules*/):
text-akoma-normalize, text-deontic-extract, graph-citation-
extract, text-readability-score, stats-cohort-size, graph-
shapley-attribution, econ-skm-score, law-benefit-score.
What runs today
- flutter analyze: 0 issues
- flutter test: 2/2 (landing + nav-to-shell smoke)
- flutter build macos (via app/build-macos.sh) and ad-hoc
codesign, app launches and the Dart VM service comes up
- native cargo test green on every module
- cargo build --release --target wasm32-wasip2 produces a
130 KiB artefact for text-akoma-normalize
What is deliberately mock / stub
- gRPC wire from the client to a chain serve hub (Repository
abstraction is in place; live impl is the next step)
- NKR Bürokratiekosten-Datenbank ingestion (for the canonical
h-Werte that close out the Engpass per Studie §6.7)
- DESTATIS GENESIS-API adapter for stats.cohort_size
License: Apache-2.0. Author/contact in MACHBARKEITSSTUDIE.md.
Signed-off-by: flemming-it <sf@flemming.it>
