flemming-it
8ee6a294a1
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>
131 lines
3.6 KiB
YAML
131 lines
3.6 KiB
YAML
# Vertikaler Durchstich Phase 0 — eine Norm (GewO §14) durch
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# alle 8 law*-Schritte + Juristen-Approval + Audit.
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#
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# Voraussetzung:
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# chain install text.akoma_normalize text.deontic_extract \
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# graph.citation_extract text.readability_score \
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# stats.cohort_size graph.shapley_attribution \
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# econ.skm_score law.benefit_score \
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# http.request system.approval
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#
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# Aufruf:
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# chain run flows/durchstich-gewo-14.yaml \
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# --input norm_url=https://www.gesetze-im-internet.de/gewo/__14.xml \
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# --input cohort_id=berlin-kmu
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inputs:
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norm_url:
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type: string
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required: true
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description: ELI-resolvable URL der Quell-Norm
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cohort_id:
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type: string
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required: true
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description: Adressaten-Kohorte (siehe stats.cohort_size v0.1)
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tariff_eur_per_hour:
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type: number
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default: 35.0
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description: SKM-Tarif T
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outputs:
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norm: ${{ normalize.norm }}
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duties: ${{ duties.duties }}
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citations: ${{ citations.citations }}
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cohort: ${{ cohort.cohort }}
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skm: ${{ skm.report }}
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frust: ${{ frust.score }}
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benefit: ${{ benefit.score }}
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attribution: ${{ attribution.attribution }}
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reviewed: ${{ review.decision == 'approve' }}
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steps:
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- id: pull
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use: http.request@^0
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with:
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url: ${{ inputs.norm_url }}
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method: GET
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etag_cache: true
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- id: normalize
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use: text.akoma_normalize@^0
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with:
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content: ${{ pull.body }}
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mime: application/xml
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- id: duties
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use: text.deontic_extract@^0
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with:
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norm: ${{ normalize.norm }}
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- id: citations
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use: graph.citation_extract@^0
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with:
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norm: ${{ normalize.norm }}
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- id: cohort
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use: stats.cohort_size@^0
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with:
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cohort_id: ${{ inputs.cohort_id }}
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# SKM-Aufbereitung: jede Duty bekommt P/F/T/h aus
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# Kohorten-Größe + per-Duty-Heuristik (Phase 1: NKR-Datenbank).
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# Hier inline aufgebaut; in Phase 1 wird das ein eigener
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# `econ.duties_enrich`-Schritt.
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- id: skm
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use: econ.skm_score@^0
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with:
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duties:
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duties:
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- population: ${{ cohort.cohort.count }}
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frequency: 1.0
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tariff_eur_per_hour: ${{ inputs.tariff_eur_per_hour }}
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time_hours_per_case: 0.5
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source_norm: ${{ normalize.norm.eli }}
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tier: ${{ cohort.cohort.tier }}
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- id: frust
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use: text.readability_score@^0
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with:
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norm: ${{ normalize.norm }}
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graph: ${{ citations.citations }}
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- id: benefit
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use: law.benefit_score@^0
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with:
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ratings:
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schutz: 2.0
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markt: 3.0
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rechtssicherheit: 3.5
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eu_binnenmarkt: 2.0
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sicherheit: 1.5
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umwelt: 0.0
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einnahmen: 2.0
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_sources:
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schutz: NKR Stellungnahme zur GewO 2018
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rechtssicherheit: IHK Berlin Mittelstandsumfrage 2024
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# Attribution-Schritt mit Demo-Graph aus citations.
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# Phase 1: graph.normalize baut den vollen Norm-Graph hier.
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- id: attribution
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use: graph.shapley_attribution@^0
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with:
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graph:
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nodes:
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- ${{ normalize.norm.eli }}
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- eli/bund/gewo
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edges:
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- from: eli/bund/gewo
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to: ${{ normalize.norm.eli }}
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target: ${{ normalize.norm.eli }}
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# Juristen-Gate — Studie §3.3 macht das obligatorisch.
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- id: review
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use: system.approval@^0
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with:
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title: "F∆I Law-Heatmap — Review ${{ normalize.norm.eli }}"
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payload:
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norm: ${{ normalize.norm }}
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skm: ${{ skm.report }}
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benefit: ${{ benefit.score }}
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frust: ${{ frust.score }}
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cohort: ${{ cohort.cohort }}
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