# Vertikaler Durchstich Phase 0 — eine Norm (GewO §14) durch
# alle 8 law*-Schritte + Juristen-Approval + Audit.
#
# Voraussetzung:
#   chain install text.akoma_normalize text.deontic_extract \
#                 graph.citation_extract text.readability_score \
#                 stats.cohort_size graph.shapley_attribution \
#                 econ.skm_score law.benefit_score \
#                 http.request system.approval
#
# Aufruf:
#   chain run flows/durchstich-gewo-14.yaml \
#     --input norm_url=https://www.gesetze-im-internet.de/gewo/__14.xml \
#     --input cohort_id=berlin-kmu

inputs:
  norm_url:
    type: string
    required: true
    description: ELI-resolvable URL der Quell-Norm
  cohort_id:
    type: string
    required: true
    description: Adressaten-Kohorte (siehe stats.cohort_size v0.1)
  tariff_eur_per_hour:
    type: number
    default: 35.0
    description: SKM-Tarif T

outputs:
  norm:        ${{ normalize.norm }}
  duties:      ${{ duties.duties }}
  citations:   ${{ citations.citations }}
  cohort:      ${{ cohort.cohort }}
  skm:         ${{ skm.report }}
  frust:       ${{ frust.score }}
  benefit:     ${{ benefit.score }}
  attribution: ${{ attribution.attribution }}
  reviewed:    ${{ review.decision == 'approve' }}

steps:
  - id: pull
    use: http.request@^0
    with:
      url: ${{ inputs.norm_url }}
      method: GET
      etag_cache: true

  - id: normalize
    use: text.akoma_normalize@^0
    with:
      content: ${{ pull.body }}
      mime: application/xml

  - id: duties
    use: text.deontic_extract@^0
    with:
      norm: ${{ normalize.norm }}

  - id: citations
    use: graph.citation_extract@^0
    with:
      norm: ${{ normalize.norm }}

  - id: cohort
    use: stats.cohort_size@^0
    with:
      cohort_id: ${{ inputs.cohort_id }}

  # SKM-Aufbereitung: jede Duty bekommt P/F/T/h aus
  # Kohorten-Größe + per-Duty-Heuristik (Phase 1: NKR-Datenbank).
  # Hier inline aufgebaut; in Phase 1 wird das ein eigener
  # `econ.duties_enrich`-Schritt.
  - id: skm
    use: econ.skm_score@^0
    with:
      duties:
        duties:
          - population: ${{ cohort.cohort.count }}
            frequency: 1.0
            tariff_eur_per_hour: ${{ inputs.tariff_eur_per_hour }}
            time_hours_per_case: 0.5
            source_norm: ${{ normalize.norm.eli }}
            tier: ${{ cohort.cohort.tier }}

  - id: frust
    use: text.readability_score@^0
    with:
      norm:  ${{ normalize.norm }}
      graph: ${{ citations.citations }}

  - id: benefit
    use: law.benefit_score@^0
    with:
      ratings:
        schutz: 2.0
        markt: 3.0
        rechtssicherheit: 3.5
        eu_binnenmarkt: 2.0
        sicherheit: 1.5
        umwelt: 0.0
        einnahmen: 2.0
        _sources:
          schutz: NKR Stellungnahme zur GewO 2018
          rechtssicherheit: IHK Berlin Mittelstandsumfrage 2024

  # Attribution-Schritt mit Demo-Graph aus citations.
  # Phase 1: graph.normalize baut den vollen Norm-Graph hier.
  - id: attribution
    use: graph.shapley_attribution@^0
    with:
      graph:
        nodes:
          - ${{ normalize.norm.eli }}
          - eli/bund/gewo
        edges:
          - from: eli/bund/gewo
            to:   ${{ normalize.norm.eli }}
      target: ${{ normalize.norm.eli }}

  # Juristen-Gate — Studie §3.3 macht das obligatorisch.
  - id: review
    use: system.approval@^0
    with:
      title: "F∆I Law-Heatmap — Review ${{ normalize.norm.eli }}"
      payload:
        norm:    ${{ normalize.norm }}
        skm:     ${{ skm.report }}
        benefit: ${{ benefit.score }}
        frust:   ${{ frust.score }}
        cohort:  ${{ cohort.cohort }}