Adds the actual paragraphs of the law right next to the
evaluation panel on the norm-detail page. A reviewer no longer
has to leave the app to confirm what a score is about; the
canonical source URL stays one click away via 'Im Browser
öffnen' (url_launcher) and one click away as a clipboard copy.
Schema
models.dart gains a NormParagraph (number + text). Norm carries
a List<NormParagraph> paragraphs, defaulted to const [] so
norms harvested by text.akoma_normalize@^0 in live mode slot
in without breaking the Mock path.
Demo data
fixtures.dart embeds the public source paragraphs verbatim
under §5 UrhG (amtliche Werke) for the five pilot norms.
Plumbing
NormTextCard (lib/widgets/norm_text_card.dart) is the renderer:
per-paragraph hanging label, selectable body text, source URL
in mono at the bottom, two action buttons. NormDetailPage
drops the card between the metric row and the duties card so
the eye lands on it during a 'why this score?' read-through.
macOS sandbox
The Release entitlement file gains
com.apple.security.network.client so url_launcher's NSWorkspace
call and the HubRepository's gRPC channel can both reach the
network. The DebugProfile already had server; client matches
the production posture.
GeneratedPluginRegistrant.swift was re-generated by
flutter pub get after url_launcher was added — no hand edits.
flutter analyze: clean. flutter test: 2/2 passing. The macOS
build via build-macos.sh launches and the new card renders the
GewO § 14, KassenSichV, DSGVO Art. 30, BauO Bln § 60 ff and
MiLoG § 17 fixtures with their actual normative text.
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>
