test(pipeline): Phase 6 — Golden Dataset + MC Quality Tests
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- 20 manually verified golden controls with expected MC topics - Structural quality tests: min 10K MCs, max 300/MC, no orphans - Doc-check controls tests: 8 doc types covered, no empty questions - Quality thresholds: 90% accuracy, enforced by regression tests Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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# Golden Dataset for MC Assignment Quality
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# Manually verified controls with their expected MC topics.
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# Used for regression testing after pipeline changes.
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# Created: 2026-05-10, verified by manual review (19/20 correct)
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golden_controls:
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# ── Data Protection ──
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- control_id: "DATA-3291-A06"
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expected_topic_prefix: "data_retention"
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reason: "Speicherfristen für personenbezogene Daten definieren"
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- control_id: "SEC-7449-A01"
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expected_topic_prefix: "personal_data"
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reason: "Fahrzeugnutzungsdaten in Telematikbox (Datenminimierung)"
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- control_id: "DATA-3518-A06"
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expected_topic_prefix: "data_subject_rights"
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reason: "Betroffene über Lösch-Ausnahmen informieren"
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- control_id: "GOV-963-A02"
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expected_topic_prefix: "consent"
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reason: "Zustimmung des Urhebers vor Veröffentlichung einholen"
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# ── Security ──
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- control_id: "CRYP-1454-A07"
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expected_topic_prefix: "encryption"
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reason: "RSASSA-PSS in TLS 1.3 verifizieren"
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- control_id: "NET-1141-A08"
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expected_topic_prefix: "monitoring"
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reason: "Sampling-Strategien konfigurieren"
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- control_id: "SEC-2244-A05"
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expected_topic_prefix: "asset_management"
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reason: "Systeminventar kontinuierlich aktualisieren"
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- control_id: "AUTH-3468-A06"
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expected_topic_prefix: "access_control"
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reason: "Rollenkonzept mit abgestuften Zugriffsrechten"
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# ── Governance ──
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- control_id: "AUTH-2364-A09"
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expected_topic_prefix: "supervisory_authority"
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reason: "Zusammenarbeit mit Wirtschaftsakteuren dokumentieren"
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- control_id: "SEC-5972-A14"
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expected_topic_prefix: "third_party_management"
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reason: "Cybersicherheitsrichtlinien kritischer Lieferanten prüfen"
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- control_id: "SEC-3441-A02"
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expected_topic_prefix: "human_resources_security"
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reason: "Mitarbeiter vor Nachteil bei Verweigerung schützen"
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- control_id: "SEC-3502-A06"
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expected_topic_prefix: "awareness"
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reason: "Organisationskultur für Sicherheitsverbesserung"
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- control_id: "GOV-1748-A04"
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expected_topic_prefix: "policy"
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reason: "Annahme von Geschenken untersagen"
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# ── Regulatory ──
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- control_id: "AI-1287-A01"
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expected_topic_prefix: "ai_system"
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reason: "Akteure des KI-Systems identifizieren"
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- control_id: "AI-1732-A11"
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expected_topic_prefix: "ai_system"
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reason: "Menschliche Kontrolle für KI-Entscheidungen"
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- control_id: "COMP-1352-A04"
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expected_topic_prefix: "certification"
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reason: "Amateurfunkprüfungszeugnis vorlegen"
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- control_id: "FIN-1212-A02"
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expected_topic_prefix: "financial_reporting"
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reason: "Jahresabschluss gemäß EU-Richtlinie aufstellen"
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- control_id: "AUTH-1165-A01"
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expected_topic_prefix: "data_classification"
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reason: "Öffentliche IP-Adressen als Stammdaten klassifizieren"
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- control_id: "SEC-7367-A10"
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expected_topic_prefix: "audit_logging"
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reason: "Banner-Version Rückverfolgung testen"
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- control_id: "LAB-034-A03"
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expected_topic_prefix: "third_party_management"
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reason: "Verträge auf unzulässige Klauseln prüfen"
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quality_thresholds:
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min_accuracy: 0.90
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max_controls_per_mc: 300
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min_master_controls: 10000
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"""
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Master Control Quality Tests.
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Regression tests to ensure MC assignment quality stays above 90%.
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Uses golden dataset of manually verified controls.
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"""
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import os
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import yaml
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import pytest
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from sqlalchemy import create_engine, text
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DB_URL = os.getenv(
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"DATABASE_URL",
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"postgresql://breakpilot:breakpilot123@postgres:5432/breakpilot_db",
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)
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_engine = None
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def get_engine():
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global _engine
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if _engine is None:
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_engine = create_engine(
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DB_URL,
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connect_args={"options": "-c search_path=compliance,public"},
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)
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return _engine
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def load_golden():
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path = os.path.join(os.path.dirname(__file__), "golden_mc_assignments.yaml")
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with open(path) as f:
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return yaml.safe_load(f)
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# ── Golden Dataset Tests ──
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class TestGoldenMCAssignments:
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"""Each golden control must be in the correct MC."""
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@pytest.fixture(autouse=True)
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def setup(self):
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self.golden = load_golden()
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self.engine = get_engine()
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def test_golden_controls_correctly_assigned(self):
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"""All golden controls must be in an MC matching their expected topic prefix."""
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errors = []
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with self.engine.connect() as c:
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for gc in self.golden["golden_controls"]:
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row = c.execute(text("""
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SELECT mc.canonical_name
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FROM master_controls mc
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JOIN master_control_members mcm ON mcm.master_control_uuid = mc.id
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JOIN canonical_controls cc ON cc.id = mcm.control_uuid
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WHERE cc.control_id = :cid
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LIMIT 1
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"""), {"cid": gc["control_id"]}).fetchone()
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if row is None:
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errors.append(f"{gc['control_id']}: not found in any MC")
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elif not row[0].startswith(gc["expected_topic_prefix"]):
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errors.append(
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f"{gc['control_id']}: expected {gc['expected_topic_prefix']}*, "
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f"got {row[0]}"
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)
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if errors:
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pytest.fail(
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f"{len(errors)} golden controls misassigned:\n"
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+ "\n".join(f" - {e}" for e in errors)
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)
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# ── Structural Quality Tests ──
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class TestMCStructuralQuality:
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"""Structural invariants for Master Controls."""
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@pytest.fixture(autouse=True)
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def setup(self):
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self.golden = load_golden()
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self.thresholds = self.golden["quality_thresholds"]
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self.engine = get_engine()
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def test_minimum_master_controls(self):
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"""Must have at least 10K Master Controls."""
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with self.engine.connect() as c:
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count = c.execute(
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text("SELECT count(*) FROM master_controls")
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).scalar()
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assert count >= self.thresholds["min_master_controls"], (
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f"Only {count} MCs, expected >= {self.thresholds['min_master_controls']}"
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)
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def test_max_controls_per_mc(self):
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"""No MC should have more than 300 controls."""
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with self.engine.connect() as c:
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max_mc = c.execute(
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text("SELECT max(total_controls) FROM master_controls")
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).scalar()
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assert max_mc <= self.thresholds["max_controls_per_mc"], (
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f"Max MC has {max_mc} controls, limit is {self.thresholds['max_controls_per_mc']}"
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)
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def test_no_empty_master_controls(self):
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"""Every MC must have at least 1 member."""
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with self.engine.connect() as c:
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empty = c.execute(text("""
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SELECT count(*) FROM master_controls
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WHERE total_controls = 0
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""")).scalar()
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assert empty == 0, f"{empty} empty MCs found"
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def test_all_members_reference_valid_controls(self):
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"""Every MC member must reference an existing control."""
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with self.engine.connect() as c:
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orphans = c.execute(text("""
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SELECT count(*) FROM master_control_members mcm
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LEFT JOIN canonical_controls cc ON cc.id = mcm.control_uuid
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WHERE cc.id IS NULL
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""")).scalar()
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assert orphans == 0, f"{orphans} orphan members found"
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# ── Doc Check Controls Tests ──
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class TestDocCheckControls:
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"""Validate doc_check_controls table."""
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@pytest.fixture(autouse=True)
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def setup(self):
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self.engine = get_engine()
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def test_doc_check_controls_exist(self):
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"""Must have doc_check_controls."""
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with self.engine.connect() as c:
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count = c.execute(
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text("SELECT count(*) FROM doc_check_controls")
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).scalar()
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assert count > 100, f"Only {count} doc_check_controls"
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def test_all_doc_types_covered(self):
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"""All 8 document types must have controls."""
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expected = {"dse", "cookie", "impressum", "widerruf",
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"agb", "dsfa", "avv", "loeschkonzept"}
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with self.engine.connect() as c:
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rows = c.execute(text(
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"SELECT DISTINCT doc_type FROM doc_check_controls"
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)).fetchall()
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actual = {r[0] for r in rows}
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missing = expected - actual
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assert not missing, f"Missing doc types: {missing}"
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def test_check_questions_not_empty(self):
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"""Every doc_check_control must have a check_question."""
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with self.engine.connect() as c:
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empty = c.execute(text("""
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SELECT count(*) FROM doc_check_controls
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WHERE check_question IS NULL OR check_question = ''
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""")).scalar()
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assert empty == 0, f"{empty} controls without check_question"
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