feat: 7 Analyse-Module auf 100% — Backend-Endpoints, DB-Model, Frontend-Persistenz

Alle 7 Analyse-Module (Requirements → Report) von ~80% auf 100% gebracht:
- Modul 1 (Requirements): POST/DELETE Endpoints + Frontend-Anbindung + Rollback
- Modul 2 (Controls): Evidence-Linking UI mit Validity-Badge
- Modul 3 (Evidence): Pagination (Frontend + Backend)
- Modul 4 (Risk Matrix): Mitigation-UI, Residual Risk, Status-Workflow
- Modul 5 (AI Act): AISystemDB Model, 6 CRUD-Endpoints, Backend-Persistenz
- Modul 6 (Audit Checklist): PDF-Download + Session-History
- Modul 7 (Audit Report): Detail-Seite mit Checklist Sign-Off + Navigation

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Benjamin Admin
2026-03-02 15:52:23 +01:00
parent d079886819
commit d48ebc5211
14 changed files with 1452 additions and 70 deletions

View File

@@ -401,6 +401,60 @@ class RiskDB(Base):
return RiskLevelEnum.LOW
class AIClassificationEnum(str, enum.Enum):
"""AI Act risk classification."""
PROHIBITED = "prohibited"
HIGH_RISK = "high-risk"
LIMITED_RISK = "limited-risk"
MINIMAL_RISK = "minimal-risk"
UNCLASSIFIED = "unclassified"
class AISystemStatusEnum(str, enum.Enum):
"""Status of an AI system in compliance tracking."""
DRAFT = "draft"
CLASSIFIED = "classified"
COMPLIANT = "compliant"
NON_COMPLIANT = "non-compliant"
class AISystemDB(Base):
"""
AI System registry for AI Act compliance.
Tracks AI systems, their risk classification, and compliance status.
"""
__tablename__ = 'compliance_ai_systems'
id = Column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
name = Column(String(300), nullable=False)
description = Column(Text)
purpose = Column(String(500))
sector = Column(String(100))
# AI Act classification
classification = Column(Enum(AIClassificationEnum), default=AIClassificationEnum.UNCLASSIFIED)
status = Column(Enum(AISystemStatusEnum), default=AISystemStatusEnum.DRAFT)
# Assessment
assessment_date = Column(DateTime)
assessment_result = Column(JSON) # Full assessment result
obligations = Column(JSON) # List of AI Act obligations
risk_factors = Column(JSON) # Risk factors from assessment
recommendations = Column(JSON) # Recommendations from assessment
# Timestamps
created_at = Column(DateTime, default=datetime.utcnow)
updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
__table_args__ = (
Index('ix_ai_system_classification', 'classification'),
Index('ix_ai_system_status', 'status'),
)
def __repr__(self):
return f"<AISystem {self.name} ({self.classification.value})>"
class AuditExportDB(Base):
"""
Tracks audit export packages generated for external auditors.