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>
68 lines
2.3 KiB
Dart
68 lines
2.3 KiB
Dart
import 'package:flutter/material.dart';
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/// Visual tokens for the F∆I Law-Heatmap client, sourced from the
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/// fai_web brand palette (see fai_web/src/styles/global.css:14-20).
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///
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/// Unlike `fai_chain_studio`'s `ChainColors` (Tailwind sky-400 —
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/// dev-tool look), this palette matches the public-facing brand:
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/// ink/paper with a petrol "signal" accent that doubles as the eye
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/// of the `∆` mark.
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class LawHeatmapColors {
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LawHeatmapColors._();
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// Core palette (fai_web/src/styles/global.css)
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static const ink = Color(0xFF08090A);
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static const inkRaised = Color(0xFF111315);
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static const paper = Color(0xFFF4F3EF);
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static const paperRaised = Color(0xFFE7E5DF);
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static const signal = Color(0xFF2E8F9E);
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static const mute = Color(0xFF6B7177);
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// Hairline divider — currentColor at 14% opacity (fai_web).
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static const hairlineDarkOpacity = 0.14;
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static const hairlineLightOpacity = 0.14;
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// Heatmap scale — derived from `signal` by HSL shift:
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// x-axis (Schaden): cool → warm as score rises
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// y-axis (Nutzen): muted → saturated as score rises
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// size: cohort count, linear sqrt mapping
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static const harmCool = Color(0xFF2E6E8F);
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static const harmWarm = Color(0xFFD8723A);
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static const benefitMuted = Color(0xFF5A7E83);
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static const benefitSaturated = Color(0xFF2E8F9E);
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// Tier badges — evidence tier of the lowest-tier ingredient.
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static const tierT1 = Color(0xFF2E8F9E); // official / peer-reviewed
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static const tierT2 = Color(0xFF6CA29A); // verband
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static const tierT3 = Color(0xFFB0AC8E); // own survey
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static const tierT4 = Color(0xFFA86F5C); // qualitative signal only
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}
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/// Spacing scale — 4/8/12/16/24/32/48 multiples, matching
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/// `ChainSpace` from `fai_chain_studio/lib/theme/tokens.dart`.
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class LawHeatmapSpace {
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LawHeatmapSpace._();
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static const xs = 4.0;
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static const sm = 8.0;
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static const md = 12.0;
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static const lg = 16.0;
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static const xl = 24.0;
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static const xxl = 32.0;
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static const xxxl = 48.0;
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}
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class LawHeatmapRadius {
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LawHeatmapRadius._();
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static const sm = Radius.circular(6);
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static const md = Radius.circular(10);
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}
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class LawHeatmapTypography {
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LawHeatmapTypography._();
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static const display = 'SpaceGroteskVariable';
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static const body = 'InterVariable';
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static const mono = 'JetBrainsMono';
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}
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