# ruff: noqa
# mypy: ignore-errors
"""Reference Scenario Suite v1 — generator (living regression reference).

Runs the REAL deployed engines for three real customer scenarios and emits a
markdown reference artifact. Per scenario it derives an "Architecture Coverage"
table from the actual run, so when a new domain lands the cells flip automatically
(e.g. Sz2/Environmental UNSUPPORTED -> PASS). This is the objective measure of
"is BreakPilot better than six months ago" — not LOC, not features.

Run:  cd backend-compliance && PYTHONPATH=. python3 reference_scenarios/generate.py
Not product code; not imported by the app.
"""
from __future__ import annotations

from typing import List, Tuple

from compliance.profile.canonical import (
    CanonicalProductRegulatoryProfile as P, CanonicalProductType as PT,
    EconomicOperatorRole as Role, CanonicalLifecyclePhase as LP,
    ProductComponent as Comp, ComponentKind as CK, EnvironmentalImpact as Env,
)
from compliance.product_scope.orchestrator import resolve_product_scope
from compliance.product_scope.schemas import ScopeStatus
from compliance.regulatory_map.renderer import render_regulatory_map
from compliance.interpretation_map.adapter import interpret_in_map
from compliance.rci import create_baseline, assess_change, RegulatoryChange, ChangeType
from compliance.company import (
    CompanyContext, Certification, Declaration, ExistingEvidence,
    CapabilityMappingEntry, build_company_profile,
)
from compliance.capability import (
    CapabilityRegistry, CapabilityCandidate, CapabilityRelation, RelationType,
    EvidenceKind, mint_capability, evaluate_relation,
)
from compliance.reasoning.enums import Confidence
from compliance.transition_reasoning import (
    TransitionContext, TransitionGoal, TargetType, TargetRequirement, assess_transition, CoverageStatus,
    regulatory_convergence,
)
from compliance.optimization import roadmap_from_delta, select_within_budget
from compliance.playbook import playbooks_for_plan
from compliance.knowledge_production import drafts_from_pattern
import os
import yaml

from _helpers import (  # noqa: E402  (script-dir module; keeps generate.py under the LOC budget)
    OUT, ROLLUP, Row, w, coverage_table, reg_map_block, unsupported_block, interp_status,
)

ISO_MAP = {"ISO27001": CapabilityMappingEntry(
    capability_ids=["cap_incident_response", "cap_supplier_management", "cap_asset_management"],
    confidence=Confidence.MEDIUM)}


w("# Reference Scenario Suite v1")
w("")
w("> **Kein Doku-Artefakt — die erste Ground Truth / Living Reference Suite.** Erzeugt aus den "
  "REALEN deployten Engines (aktueller deployter main) via `reference_scenarios/generate.py`. Jede "
  "`Architecture Coverage`-Zelle ist aus dem echten Lauf ABGELEITET; sobald eine Domaene landet, "
  "kippt die Zelle automatisch (z. B. Sz2/Environmental UNSUPPORTED -> PASS). Beantwortet dauerhaft: "
  '„Ist BreakPilot besser als vor sechs Monaten?" — anhand echter Kundensituationen, nicht LOC.')
w("")
w("Synthetische `Cert->Capability`-Mappings sind als ILLUSTRATIV markiert; die echte Tabelle gehoert "
  "Compliance Execution (siehe Master Capability Registry).")
w("")

# ── Scenario 1 ────────────────────────────────────────────────────────────
w("## Szenario 1 — Maschinenbauer mit ISMS + SBOM + Remote Access")
w("")
w('**Frage:** „Was gilt fuer uns, und reicht das?"')
w("")
p1 = P(name="Industrielle Verpackungsmaschine", product_type=PT.MACHINERY, markets=["EU", "DE"],
       economic_operator_role=Role.MANUFACTURER, lifecycle_phase=LP.PLACING_ON_MARKET,
       is_machine=True, is_component=False, has_software_updates=True, has_embedded_software=True,
       has_remote_access=True, connected_to_internet=True, has_security_function=True,
       has_sbom=True, has_incident_response=True, technologies=["cloud", "ota_updates"],
       existing_certifications=["ISO27001"])
sc1 = resolve_product_scope(p1)
rmap1 = render_regulatory_map(p1)
w("**Input:** Maschine, vernetzt (Remote/Cloud), Firmware, Rolle Hersteller, Maerkte EU/DE; "
  "Company: ISMS (ISO27001) + SBOM + Incident Response.")
w("")
reg_map_block(rmap1)
w("**Input — Company Context** _(ILLUSTRATIVES Mapping: ISO27001 -> incident_response, supplier_management, asset_management)_")
w("")
ctx1 = CompanyContext(company_id="maschinenbau",
                      certifications=[Certification(certification_id="ISO27001", name="ISO/IEC 27001")],
                      declarations=[Declaration(capability_id="cap_patch_management")],
                      evidence=[ExistingEvidence(evidence_id="sbom.json", evidence_type="sbom", proves_capability_id="cap_sbom_management")])
prof1 = build_company_profile(ctx1, ISO_MAP)
for c in prof1.candidate_capabilities:
    w("- candidate: %s — %s (%s)" % (c.capability_id, c.verification_status.value, c.source))
for c in prof1.confirmed_capabilities:
    w("- CONFIRMED: %s — %s (Nachweis: %s)" % (c.capability_id, c.verification_status.value, ", ".join(c.sources)))
w("")
ie1 = interpret_in_map(rmap1, "Wir liefern Sicherheitsupdates fuenf Jahre lang, damit ist der CRA erfuellt.")
w("**Expected Interpretation**")
w("")
w('> Auslegung „5 Jahre Updates -> CRA erfuellt" -> **%s**' % ie1.assessment.value)
w("> " + ie1.explanation)
w("")
base1 = create_baseline(p1, {"sbom_creation": ["sbom"], "provide_security_updates": ["policy"]}, baseline_id="s1")
a1 = assess_change(base1, RegulatoryChange(change_id="cra-2026-amd", affected_regulations=["CRA"],
                   affected_obligations=["cra_new_disclosure_duty", "sbom_creation", "vuln_handling_process"],
                   change_type=ChangeType.AMENDMENT))
w("**Expected RCI** _(CRA-Novelle gegen gespeicherte Baseline)_")
w("")
w("> affects_product = %s — %s" % (a1.affects_product, a1.summary.what_changed))
for d in a1.deltas:
    w("- %s -> **%s** (fehlende Nachweise: %s)" % (d.obligation_id, d.delta_type.value, ", ".join(d.missing_evidence) or "-"))
w("")
unsupported_block(rmap1)
w("**Known Gaps:** Interpretation kennt kein CRA-Muster (RS-001) · MaschinenVO/EMV-Pflichten nicht "
  "registry-verlinkt (RS-004) · cap/MCAP/Pflicht-Evidence nicht gejoint = Company-Gap (RS-003).")
w("")
coverage_table([
    ("Company Context", "PASS", "ISO27001 + SBOM + Declaration"),
    ("Product Profile", "PASS", "Maschine, vernetzt, Firmware"),
    ("Navigator", "PASS", "ready_for_scope"),
    ("Scope", "PASS" if sc1.status == ScopeStatus.RESOLVED else "NEEDS_FACTS", "CRA/MaschinenVO/EMV + 3 unsicher"),
    ("Regulatory Map", "PASS", "Overlaps + 1-Nachweis-N-Pflichten"),
    ("CRA Obligations", "PASS", "12 registry-verlinkt"),
    ("MaschinenVO/EMV Obligations", "PARTIAL", "Scope ja, Pflichten nicht verlinkt → RS-004"),
    ("Interpretation", interp_status(ie1.assessment.value), "kein CRA-Muster → RS-001"),
    ("RCI", "PASS", "1 neu, 2 geaendert"),
    ("Company Gap", "TODO", "cap↔MCAP↔Pflicht nicht gejoint → RS-003"),
    ("Environmental", "N/A", "keine Umwelt-Trigger"),
])

# ── Scenario 2 ────────────────────────────────────────────────────────────
w("## Szenario 2 — Industriespuelmaschine mit Abwasser/Chemikalien")
w("")
w('**Frage:** „Welche Umweltbereiche sind noch nicht abgedeckt?"')
w("")
p2 = P(name="Industriespuelmaschine", product_type=PT.MACHINERY, markets=["EU", "DE"],
       economic_operator_role=Role.MANUFACTURER, lifecycle_phase=LP.PLACING_ON_MARKET,
       is_machine=True, is_component=False, has_software_updates=True, has_embedded_software=True,
       components=[Comp(name="Dosierpumpe", kind=CK.CHEMICAL_DOSING), Comp(name="Abwasserauslass", kind=CK.WASTEWATER_OUTLET)],
       environmental=Env(discharges_to_wastewater=True, uses_cleaning_chemicals=True, consumes_energy_or_water=True))
sc2 = resolve_product_scope(p2)
rmap2 = render_regulatory_map(p2)
w("**Input:** Maschine mit Chemikalien-Dosierung + Abwasserauslass; Umwelt-Trigger gesetzt.")
w("")
reg_map_block(rmap2)
unsupported_block(rmap2)
ie2 = interpret_in_map(rmap2, "Unsere Abwassereinleitung mit Reinigungschemikalien ist sicher abgedeckt.")
w("**Expected Interpretation** _(Umwelt -> bewusst nicht bewertet)_")
w("")
w("> " + ie2.explanation)
w("")
w("**Known Gaps:** Abwasser/Chemikalien/Energie sind `unsupported_domain` — Environmental Corpus fehlt (RS-002).")
w("")
env_status = "UNSUPPORTED" if rmap2.unsupported_domains else "PASS"
coverage_table([
    ("Product Profile", "PASS", "Maschine + Umwelt-Komponenten"),
    ("Scope", "PASS" if sc2.status == ScopeStatus.RESOLVED else "NEEDS_FACTS", ""),
    ("Regulatory Map", "PASS", "CRA/MaschinenVO/EMV"),
    ("Environmental (Abwasser/Chemikalien/Energie)", env_status, 'ehrlich „noch nicht im Korpus" → RS-002'),
    ("Interpretation (Umwelt)", "PARTIAL", "future_corpus_needed statt Scheinsicherheit"),
])

# ── Scenario 3 ────────────────────────────────────────────────────────────
w("## Szenario 3 — ISO27001-zertifiziertes Unternehmen")
w("")
w('**Frage:** „Welche Capabilities sind inferred, declared oder confirmed?"')
w("")
w("_ILLUSTRATIVES Mapping: ISO27001 -> incident_response, supplier_management, asset_management_")
w("")
ctx3 = CompanyContext(company_id="iso-kunde",
                      certifications=[Certification(certification_id="ISO27001", name="ISO/IEC 27001")],
                      declarations=[Declaration(capability_id="cap_patch_management", statement="Wir machen Patch Management")],
                      evidence=[ExistingEvidence(evidence_id="patch-policy.pdf", evidence_type="policy", proves_capability_id="cap_patch_management")])
prof3 = build_company_profile(ctx3, ISO_MAP)
w("**Expected Company Capability Profile** _(4-Zustands-Trust-Model)_")
w("")
for c in prof3.candidate_capabilities:
    w("- %s — **%s** (Quelle: %s)" % (c.capability_id, c.verification_status.value, c.source))
for c in prof3.confirmed_capabilities:
    w("- %s — **%s** (Nachweis: %s)" % (c.capability_id, c.verification_status.value, ", ".join(c.sources)))
w("")
reg = CapabilityRegistry()
m = mint_capability(reg, CapabilityCandidate(raw_term="Incident Response"), category="Security")
ca = evaluate_relation(CapabilityRelation(relation_id="r1", source="certification:ISO27001", target_capability_id=m.capability_id, relationship_type=RelationType.SUPPORTS, evidence_kind=EvidenceKind.CERTIFICATION))
cb = evaluate_relation(CapabilityRelation(relation_id="r2", source="ir-runbook.pdf", target_capability_id=m.capability_id, relationship_type=RelationType.CONFIRMS, evidence_kind=EvidenceKind.ARTIFACT))
w("**Expected Master Capability Registry** _(computed confidence, policy-versioniert)_")
w("")
w("- ISO27001 *supports* %s -> %s/%s (policy %s) — computed, nicht gespeichert" % (m.capability_id, ca.status.value, ca.confidence.value, ca.policy_version))
w("- ir-runbook.pdf *confirms* %s -> %s/%s — nur echtes Artefakt erreicht confirmed" % (m.capability_id, cb.status.value, cb.confidence.value))
w("")
w("**Known Gaps:** `cap_*` (Company 2A) und `MCAP-*` (Registry) sind noch nicht verlinkt (RS-003).")
w("")
coverage_table([
    ("Company Context", "PASS", "ISO27001 + Declaration + Evidence"),
    ("Trust-State (declared/inferred/confirmed)", "PASS", "Zertifizierung nie confirmed"),
    ("Master Capability Registry", "PASS", "computed confidence, policy-versioniert"),
    ("cap ↔ MCAP Linking", "TODO", "zwei Vokabulare unverbunden → RS-003"),
])

# ── Scenario 4 — Transition (RS-005 Planning Engine + Knowledge Pattern) ───
w("## Szenario 4 — Transition (RS-005 fährt JEDEN Knowledge Pattern)")
w("")
w("_Genericity-Beweis: derselbe Algorithmus trägt jeden Transition Knowledge Pattern, nicht nur den CRA._")
w("")
_pat_dir = os.path.join(os.path.dirname(__file__), "..", "knowledge", "transition_patterns")
_pat_files = sorted(f for f in os.listdir(_pat_dir)
                    if f.startswith("transition_pattern_") and f.endswith(".yaml"))
_t_rows: List[Row] = []
for _pf in _pat_files:
    with open(os.path.join(_pat_dir, _pf), encoding="utf-8") as _f:
        PAT = yaml.safe_load(_f)
    if not isinstance(PAT["transition_goal"]["to"], dict):
        continue  # multi-target (Regulatory Convergence) patterns are handled in the convergence section
    _src = "".join(c for c in PAT["transition_goal"]["from"]["standard"] if c.isalnum())  # e.g. ISOIEC27001
    _tgt = PAT["transition_goal"]["to"].get("regulation") or PAT["transition_goal"]["to"].get("framework") or "TARGET"
    _have = [a["capability"] for a in PAT["likely_covered"]]
    _map = {_src: CapabilityMappingEntry(capability_ids=_have, confidence=Confidence.MEDIUM)}
    _profile = build_company_profile(
        CompanyContext(company_id="kunde", certifications=[Certification(certification_id=_src)]), _map)
    _reqs = [TargetRequirement(capability_id=a["capability"], question_intent="verify_existence",
                               expected_evidence=a.get("expected_evidence", [])) for a in PAT["likely_covered"]]
    _reqs += [TargetRequirement(capability_id=d["capability"], question_intent=d.get("needed_information", "verify_existence"),
                                expected_evidence=d.get("expected_evidence", [])) for d in PAT["delta_requirements"]]
    _tc = TransitionContext(company_id="kunde", known_certifications=[_src],
                            target=TransitionGoal(target_id=_tgt, target_type=TargetType.REGULATION, label=_tgt))
    _a = assess_transition(_tc, _reqs, _profile)
    _carried = len(_a.coverage) == len(_reqs) and len(_a.question_requests) > 0
    _n_high = sum(1 for _r in _a.question_requests if _r.priority.value == "high")
    w("**%s → %s** _(%s, status=%s)_" % (PAT["transition_goal"]["from"]["standard"], _tgt, PAT["id"], PAT["status"]))
    w("> %s" % _a.summary.headline)
    w("- Delta zuerst (HIGH): %s" % (", ".join(_r.capability_id for _r in _a.question_requests if _r.priority.value == "high") or "—"))
    w("- vermutlich abgedeckt: %s" % (", ".join(_a.summary.probably_covered) or "—"))
    w("- Pattern getragen: **%s** (%d caps → %d coverage + %d requests)"
      % ("ja" if _carried else "NEIN", len(_reqs), len(_a.coverage), len(_a.question_requests)))
    w("")
    _t_rows.append(("Transition %s→%s" % (_src, _tgt), "PASS" if _carried else "PARTIAL",
                    "%s · %d HIGH-Delta + %d zu bestätigen" % (PAT["status"], _n_high, len(_a.summary.probably_covered))))
_t_rows.append(("RS-005.1 Renderer (Fragetext)", "TODO", "verschoben — Engine liefert nur Requests"))
coverage_table(_t_rows)

# ── Reference Transition Scenarios (RTS) — canonical regression (Soll/Ist + knowledge) ───
w("## Reference Transition Scenarios (RTS) — kanonische Regression (Soll/Ist)")
w("")
w('_Anonymisierte Archetypen (KEINE Firmennamen). Jeder RTS pinnt ein Expected Outcome; jeder Commit muss es reproduzieren (identisch oder besser). Data Act = `uncertain`, nie fix „gilt/gilt-nicht"._')
w("")
_rts_dir = os.path.join(os.path.dirname(__file__), "..", "knowledge", "reference_transition_scenarios")
_pat_d2 = os.path.join(os.path.dirname(__file__), "..", "knowledge", "transition_patterns")
_pat_by_id = {}
for _pf in sorted(os.listdir(_pat_d2)):
    if _pf.startswith("transition_pattern_") and _pf.endswith(".yaml"):
        with open(os.path.join(_pat_d2, _pf), encoding="utf-8") as _h:
            _pp = yaml.safe_load(_h)
        _pat_by_id[_pp["id"]] = _pp
# Convergence pattern (multi-target) — run once through RS-005; reused by RTS-003 + the convergence section.
_CONV_ID = "TP-ISO27001-CRA-MaschinenVO-v1"
_MV_IDS = {"MaschinenVO", "MachineryRegulation", "Maschinenverordnung"}
CP = _pat_by_id.get(_CONV_ID)
_conv = None
_cp_missing = set()  # type: ignore[var-annotated]
_all_t = []  # type: ignore[var-annotated]
_delta_t = {}  # type: ignore[var-annotated]
if CP:
    _all_t = sorted({t for it in CP["likely_covered"] + CP["delta_requirements"] for t in it.get("covers_targets", [])})
    _delta_t = {d["capability"]: d.get("covers_targets", []) for d in CP["delta_requirements"]}
    _conv = regulatory_convergence(_delta_t, _all_t)
    _cp_have = [a["capability"] for a in CP["likely_covered"]]
    _cp_map = {"ISO27001": CapabilityMappingEntry(capability_ids=_cp_have, confidence=Confidence.MEDIUM)}
    _cp_prof = build_company_profile(
        CompanyContext(company_id="conv", certifications=[Certification(certification_id="ISO27001")]), _cp_map)
    _cp_reqs = [TargetRequirement(capability_id=a["capability"]) for a in CP["likely_covered"]]
    _cp_reqs += [TargetRequirement(capability_id=d["capability"], question_intent=d.get("needed_information", "verify_existence"))
                 for d in CP["delta_requirements"]]
    _cp_a = assess_transition(TransitionContext(company_id="conv", target=TransitionGoal(target_id="CRA+MaschinenVO")), _cp_reqs, _cp_prof)
    _cp_missing = {c.capability_id for c in _cp_a.coverage if c.status == CoverageStatus.MISSING}
_rts_rows: List[Row] = []
for _rf in sorted(f for f in os.listdir(_rts_dir) if f.startswith("RTS-") and f.endswith(".yaml")):
    with open(os.path.join(_rts_dir, _rf), encoding="utf-8") as _f:
        RTS = yaml.safe_load(_f)
    _cra = RTS["expected_outcome"]["cra"]
    _pat = _pat_by_id[_cra["pattern"]]
    _src = RTS["reference_company"]["known_certifications"][0]
    _have = [a["capability"] for a in _pat["likely_covered"]]
    _map = {_src: CapabilityMappingEntry(capability_ids=_have, confidence=Confidence.MEDIUM)}
    _profile = build_company_profile(
        CompanyContext(company_id="rts", certifications=[Certification(certification_id=_src)]), _map)
    _reqs = [TargetRequirement(capability_id=a["capability"]) for a in _pat["likely_covered"]]
    _reqs += [TargetRequirement(capability_id=d["capability"], question_intent=d.get("needed_information", "verify_existence"))
              for d in _pat["delta_requirements"]]
    _a = assess_transition(TransitionContext(company_id="rts", target=TransitionGoal(target_id="CRA")), _reqs, _profile)
    _actual_missing = {c.capability_id for c in _a.coverage if c.status == CoverageStatus.MISSING}
    _exp_delta = set(_cra["expected_delta_at_least"])
    _exp_cov = set(_cra["expected_likely_covered_at_least"])
    _delta_ok = _exp_delta <= _actual_missing
    _cov_ok = _exp_cov <= set(_a.summary.probably_covered)
    # Data Act: the engine must SURFACE uncertainty, never ASSERT "applies".
    _tr = RTS["reference_company"]["product_traits"]
    _P = P(name="rts", product_type=PT.MACHINERY if _tr.get("is_machine") else PT.HARDWARE,
           markets=_tr.get("market", ["EU"]), economic_operator_role=Role.MANUFACTURER,
           lifecycle_phase=LP.PLACING_ON_MARKET, is_machine=_tr.get("is_machine"),
           is_component=_tr.get("is_component"), has_embedded_software=_tr.get("has_embedded_software"),
           connected_to_internet=_tr.get("connected_to_internet"), has_remote_access=_tr.get("has_remote_access"),
           generates_usage_data=_tr.get("generates_usage_data"))
    _rmap = render_regulatory_map(_P)
    _appl = {v.regulation_id for v in _rmap.applicable_regulations}
    _unc = {v.regulation_id for v in _rmap.uncertain_regulations}
    _da = "applicable" if "DataAct" in _appl else ("uncertain" if "DataAct" in _unc else "excluded/absent")
    _da_ok = "DataAct" not in _appl   # never wrongly asserted as applicable
    _ok = _delta_ok and _cov_ok and _da_ok
    w("**%s** — %s" % (RTS["id"], RTS["archetype"]))
    w("> Start %s → CRA. %s" % ("+".join(RTS["reference_company"]["known_certifications"]), _a.summary.headline))
    w("- Expected Delta erfüllt: **%s** (%d/%d Soll-Delta in der Ist-Lücke)" % ("ja" if _delta_ok else "NEIN", len(_exp_delta & _actual_missing), len(_exp_delta)))
    w("- Expected likely_covered erfüllt: **%s**" % ("ja" if _cov_ok else "NEIN"))
    w("- Data Act: Engine sagt **%s** (Soll: uncertain; nie asserted) → %s" % (_da, "ok" if _da_ok else "FEHLER (asserted!)"))
    # MaschinenVO — multi-regulation target. uncertain (component) vs applies (machine); convergence only with an ISMS.
    _mv = RTS["expected_outcome"].get("maschinenvo")
    _mv_ok = True
    _mv_tag = "—"
    if _mv and _mv.get("expectation") == "uncertain":
        _mv_ok = not (_appl & _MV_IDS)   # a component: never wrongly asserted as in-scope
        _mv_tag = "uncertain(ok)" if _mv_ok else "uncertain(FEHLER:asserted)"
        w("- MaschinenVO: Soll **uncertain** (Komponente, deciding: is_safety_component) → Engine asserted nicht: %s" % ("ok" if _mv_ok else "FEHLER"))
    elif _mv:   # expectation: applies (is_machine: true)
        _mv_exp = set(_mv.get("expected_delta_at_least", []))
        if _mv.get("convergence_pattern") == _CONV_ID and CP:
            _mv_ok = _mv_exp <= _cp_missing
            _mv_tag = "applies %d/%d Safety-Delta" % (len(_mv_exp & _cp_missing), len(_mv_exp))
            w("- MaschinenVO **gilt** (is_machine): %d/%d Safety-Delta in der Ist-Lücke (Convergence-Pattern) → %s" % (len(_mv_exp & _cp_missing), len(_mv_exp), "ok" if _mv_ok else "NEIN"))
        else:
            _mv_ok = bool(_mv_exp)
            _mv_tag = "applies (geringe Konvergenz, kein ISMS)"
            w("- MaschinenVO **gilt** (is_machine): Safety-Delta %s — **geringe Konvergenz ohne ISMS** (RS-004 reg-map-Gate offen)" % (", ".join(sorted(_mv_exp)) or "—"))
    # Convergence — the USP: capabilities covering CRA AND MaschinenVO at once.
    _cv = RTS["expected_outcome"].get("convergence")
    _cv_ok = True
    if _cv and _conv:
        _cv_exp = set(_cv.get("expected_multi_target_at_least", []))
        _cv_hit = _cv_exp & set(_conv.multi_target_capabilities)
        _cv_ok = _cv_exp <= set(_conv.multi_target_capabilities)
        w("- Konvergenz CRA∩MaschinenVO: %d/%d erwartete Multi-Target-Caps → %s (%s)" % (len(_cv_hit), len(_cv_exp), "ok" if _cv_ok else "NEIN", _conv.headline))
    _ok = _ok and _mv_ok and _cv_ok
    w("")
    _rts_rows.append(("%s (%s→CRA%s)" % (RTS["id"], _src, "+MaschVO" if _mv else ""), "PASS" if _ok else "PARTIAL",
                      "%d/%d Delta-Soll · likely_covered %s · DataAct=%s · MaschVO=%s%s" % (
                          len(_exp_delta & _actual_missing), len(_exp_delta), "ok" if _cov_ok else "NEIN", _da, _mv_tag,
                          " · Konvergenz ok" if (_cv and _cv_ok) else "")))
coverage_table(_rts_rows)

# ── Regulatory Convergence — CRA + MaschinenVO (the multi-regulation USP) ───
w("## Regulatory Convergence — CRA + MaschinenVO (Cross-Regulation Capability Mapping)")
w("")
w("_Der USP: welche Capability deckt MEHRERE Regelwerke gleichzeitig? (Convergence Pattern, RTS-003-Archetyp.)_")
w("")
assert _conv is not None and CP is not None  # precomputed before the RTS loop (convergence pattern on disk)
w("**Cross-Regulation Capability Mapping (Delta):** %s" % _conv.headline)
w("")
w("**Konvergenz — diese neuen Maßnahmen decken BEIDE Regelwerke gleichzeitig:**")
for _c in _conv.multi_target_capabilities:
    w("- `%s`" % _c)
w("")
w("**Pro Regelwerk benötigt (Delta):** " + ", ".join("%s=%d" % (k, v) for k, v in _conv.per_target_count.items()))
w("")
w('**Kundensatz:** „Von den %d neuen Maßnahmen erfüllen %d gleichzeitig CRA und MaschinenVO." (heute liefert das praktisch kein Tool)'
  % (len(_delta_t), len(_conv.multi_target_capabilities)))
w("")
coverage_table([
    ("Regulatory Convergence Pattern", "PASS", "%d Targets, %d Delta-Capabilities" % (len(_all_t), len(_delta_t))),
    ("Cross-Regulation Capability Mapping", "PASS", _conv.headline),
])

# ── Regulatory Optimization — Roadmap-Renderer über DEMSELBEN Capability Delta ───
w("## Regulatory Optimization — größter regulatorischer Hebel zuerst")
w("")
w("_Dieselbe Berechnung wie die GAP-Analyse, anderer Renderer: das **Capability Delta** (RS-005) wird nach **regulatorischem Hebel** priorisiert (eine Maßnahme schließt N Regelwerke gleichzeitig). Welt-1: % über die IDENTIFIZIERTEN Anforderungen, kein Compliance-Urteil._")
w("")
_opt = roadmap_from_delta(_cp_a, _delta_t)   # SAME delta the Interview Renderer turns into questions
_open_reqs = {_m.capability_id: _m.covers for _m in _opt.ranked_measures}
w("**Kompression:** %s" % _opt.headline)
w("")
w("**Top-Maßnahmen nach regulatorischem Hebel (Roadmap):**")
w("")
w("| # | Maßnahme | Hebel | deckt | kumuliert |")
w("|---|---|---|---|---|")
for _i, _m in enumerate(_opt.ranked_measures[:6], 1):
    w("| %d | `%s` | **%d** | %s | %d/%d (%.0f%%) |" % (
        _i, _m.capability_id, _m.leverage, "+".join(_m.covers),
        _m.cumulative_requirements, _opt.total_requirements, _m.cumulative_coverage * 100))
w("")
_bud = select_within_budget(_open_reqs, 5)
w('**Managementsatz:** „Wenn Sie zuerst diese %d Maßnahmen umsetzen, schließen Sie %d von %d identifizierten Anforderungen (%.0f%%) — höchster regulatorischer Hebel." (Hebel skaliert mit jedem weiteren Regelwerk/Convergence-Pattern.)'
  % (len(_bud.selected_capabilities), _bud.requirements_closed, _bud.total_requirements, _bud.coverage_ratio * 100))
w("")
w("_Eine Wahrheit, zwei Renderer: dasselbe Capability Delta liefert dem Auditor **Fragen** (Interview) und dem GF **Maßnahmen** (Roadmap)._")
w("")
coverage_table([
    ("Capability Delta Engine (RS-005)", "PASS", "ein Delta, mehrere Renderer"),
    ("Roadmap/Management Renderer (Hebel)", "PASS", _opt.headline),
    ("Budget-Priorisierung", "PASS", "Top-5 → %.0f%% der identifizierten Anforderungen" % (_bud.coverage_ratio * 100)),
])

# ── Implementation Playbook — Berater-Renderer (wie komme ich dort hin?) ───
w("## Implementation Playbook — wie komme ich dort hin? (Berater-Renderer)")
w("")
w('_Nach „was fehlt?" (Delta) und „womit anfangen?" (Hebel) die nächste Ebene: **wie umsetzen?** Pro Maßnahme eine komplette Reise aus kuratiertem Wissen + Hebel + (injizierten) Execution-Links. Inhalt ist der Engpass, nicht die Software._')
w("")
_pb_dir = os.path.join(os.path.dirname(__file__), "..", "knowledge", "implementation_playbooks")
_pb_kb = {}
for _pf in sorted(os.listdir(_pb_dir)):
    if _pf.endswith(".yaml"):
        with open(os.path.join(_pb_dir, _pf), encoding="utf-8") as _h:
            _pd = yaml.safe_load(_h)
        _pb_kb[_pd["capability_id"]] = _pd
_pbs = playbooks_for_plan(_opt, _pb_kb)   # chain Roadmap -> Playbook over the SAME delta
_have = [p for p in _pbs if p.status != "missing"]
_miss = [p for p in _pbs if p.status == "missing"]
w("**Reise pro Maßnahme (aus der Roadmap):** %d von %d Maßnahmen haben ein Playbook; %d brauchen noch Inhalt (Knowledge Acquisition)." % (len(_have), len(_pbs), len(_miss)))
w("")
_show = next((p for p in _pbs if p.capability_id == "sbom_creation"), None)
if _show:
    w("**Beispielreise — `%s`** _(%s, schließt %s)_" % (_show.capability_id, _show.status, "+".join(_show.closes_regulations) or "—"))
    w("> **Warum?** %s" % _show.why.strip())
    w("- **Tools:** %s" % ", ".join(_show.tools))
    w("- **Prozess:** %s" % " → ".join(s.title for s in _show.process_steps))
    w("- **Nachweise:** %s" % ", ".join(_show.expected_evidence))
    w("- **Wie andere es tun:** %s" % _show.how_others_do_it.strip())
    w("")
w("**Roadmap → Implementation (Top-Maßnahmen nach Hebel):**")
w("")
w("| Maßnahme | Hebel | schließt | Playbook |")
w("|---|---|---|---|")
for _p in _pbs[:6]:
    w("| `%s` | %d | %s | %s |" % (_p.capability_id, _p.leverage, "+".join(_p.closes_regulations) or "—",
                                    ("✓ " + _p.status) if _p.status != "missing" else "**fehlt (Inhalt)**"))
w("")
w("_Derselbe Capability-Strang, neuer Renderer: aus Diagnose wird Beratung. Die `fehlt`-Einträge sind der ehrliche Content-Backlog (höchster Hebel zuerst befüllen)._")
w("")
coverage_table([
    ("Implementation Playbook Renderer", "PASS", "Reise pro Capability (why/tools/process/evidence/controls)"),
    ("Roadmap → Playbook (Verkettung)", "PASS", "%d/%d Maßnahmen mit Playbook" % (len(_have), len(_pbs))),
    ("Playbook-Inhalt (Knowledge)", "TODO" if _miss else "PASS", "%d Capabilities brauchen noch Inhalt" % len(_miss)),
])

# ── Knowledge Production — Playbook Draft Generator (vorbereiten, dann kuratieren) ───
w("## Knowledge Production — Playbook-Entwürfe automatisch assemblieren")
w("")
w("_Der Engpass ist nicht Content, sondern Wissensproduktion. Der Corpus wird nicht von Hand geschrieben, sondern deterministisch aus vorhandenen Daten (Transition Pattern + Leverage + injizierte Controls) vorbereitet — dann fachlich kuratiert (wie Gesetz→Parser→Obligation→Review)._")
w("")
_kp = drafts_from_pattern(CP) if CP else []   # CP = convergence pattern (already loaded)
w("**Aus 1 Pattern → %d Playbook-Entwürfe** (`status: draft_generated`): eigene Felder (Warum/schließt/Nachweise) aus den Daten gefüllt, der Experte ergänzt nur Tools/Prozess/How-others." % len(_kp))
w("")
_kd = next((d for d in _kp if d.capability_id == "sbom_creation"), _kp[0] if _kp else None)
if _kd:
    w("**Beispiel-Entwurf — `%s`** _(%s)_" % (_kd.capability_id, _kd.status.value))
    w("- **Warum** (aus Pattern): %s" % _kd.why.strip())
    w("- **schließt** %s · **Nachweise** %s" % ("+".join(_kd.closes_regulations) or "—", ", ".join(_kd.expected_evidence) or "—"))
    w("- **Provenance:** %s" % ", ".join("%s←%s" % (k, v) for k, v in _kd.provenance.items()))
    w("- **TODO (Experte/Offline-Propose):** %s" % ", ".join(_kd.todo))
    w("")
w("_So reviewt der Experte %d Entwürfe statt %d Playbooks zu schreiben. Derselbe Generator bereitet später ISO14001-/IATF-Entwürfe vor, sobald der Corpus da ist._" % (len(_kp), len(_kp)))
w("")
coverage_table([
    ("Playbook Draft Generator (deterministisch)", "PASS", "%d Entwürfe aus 1 Pattern, kein LLM im Kern" % len(_kp)),
    ("Provenance + TODO + Freigabestatus", "PASS", "draft_generated→reviewed→validated→proven"),
    ("Draft-Generatoren neue Domänen (Phase A)", "TODO", "Transition-/Reference-Scenario-Drafts"),
])

# ── Epics + roll-up ───────────────────────────────────────────────────────
w("## Gaps → Epics (Backlog — nur erfasst, NICHT implementiert)")
w("")
w("| Epic | Titel | schliesst Coverage-Luecke |")
w("|---|---|---|")
w("| RS-001 | Interpretation Pattern Library | Sz1 Interpretation PARTIAL -> PASS (CRA-Muster) |")
w("| RS-002 | Environmental Corpus (Pilotdomaene) | Sz2 Environmental UNSUPPORTED -> PASS |")
w("| RS-003 | Capability Linking (cap↔MCAP) + Company-Gap | Sz1/Sz3 Company Gap TODO -> PASS |")
w("| RS-004 | MaschinenVO/EMV Registry Linking | Sz1/Sz2 MaschinenVO/EMV PARTIAL -> PASS |")
w("")
total = len(ROLLUP)
npass = ROLLUP.count("PASS")
w("## Suite-Status (Roll-up)")
w("")
w("- Coverage-Zellen gesamt: **%d**" % total)
w("- PASS: **%d** · PARTIAL: %d · UNSUPPORTED: %d · TODO: %d · N/A: %d · NEEDS_FACTS: %d"
  % (npass, ROLLUP.count("PARTIAL"), ROLLUP.count("UNSUPPORTED"), ROLLUP.count("TODO"),
     ROLLUP.count("N/A"), ROLLUP.count("NEEDS_FACTS")))
w("- Fortschritt = PASS-Anteil steigt, wenn Epics RS-001…004 landen (objektiver Maßstab, kein LOC).")

print("\n".join(OUT))