[split-required] [guardrail-change] Enforce 500 LOC budget across all services

Install LOC guardrails (check-loc.sh, architecture.md, pre-commit hook)
and split all 44 files exceeding 500 LOC into domain-focused modules:

- consent-service (Go): models, handlers, services, database splits
- backend-core (Python): security_api, rbac_api, pdf_service, auth splits
- admin-core (TypeScript): 5 page.tsx + sidebar extractions
- pitch-deck (TypeScript): 6 slides, 3 UI components, engine.ts splits
- voice-service (Python): enhanced_task_orchestrator split

Result: 0 violations, 36 exempted (pipeline, tests, pure-data files).
Go build verified clean. No behavior changes — pure structural splits.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

backend-core/services/pdf_models.py

@@ -0,0 +1,85 @@
+"""
+PDF Models - Dataclasses fuer PDF-Generierung.
+
+Enthaelt alle Datenmodelle die von PDFService und den Convenience-Funktionen
+in pdf_service.py verwendet werden.
+"""
+
+from dataclasses import dataclass
+from typing import Any, Dict, List, Optional
+
+
+@dataclass
+class SchoolInfo:
+    """Schulinformationen fuer Header."""
+    name: str
+    address: str
+    phone: str
+    email: str
+    logo_path: Optional[str] = None
+    website: Optional[str] = None
+    principal: Optional[str] = None
+
+
+@dataclass
+class LetterData:
+    """Daten fuer Elternbrief-PDF."""
+    recipient_name: str
+    recipient_address: str
+    student_name: str
+    student_class: str
+    subject: str
+    content: str
+    date: str
+    teacher_name: str
+    teacher_title: Optional[str] = None
+    school_info: Optional[SchoolInfo] = None
+    letter_type: str = "general"  # general, halbjahr, fehlzeiten, elternabend, lob
+    tone: str = "professional"
+    legal_references: Optional[List[Dict[str, str]]] = None
+    gfk_principles_applied: Optional[List[str]] = None
+
+
+@dataclass
+class CertificateData:
+    """Daten fuer Zeugnis-PDF."""
+    student_name: str
+    student_birthdate: str
+    student_class: str
+    school_year: str
+    certificate_type: str  # halbjahr, jahres, abschluss
+    subjects: List[Dict[str, Any]]  # [{name, grade, note}]
+    attendance: Dict[str, int]  # {days_absent, days_excused, days_unexcused}
+    remarks: Optional[str] = None
+    class_teacher: str = ""
+    principal: str = ""
+    school_info: Optional[SchoolInfo] = None
+    issue_date: str = ""
+    social_behavior: Optional[str] = None  # A, B, C, D
+    work_behavior: Optional[str] = None  # A, B, C, D
+
+
+@dataclass
+class StudentInfo:
+    """Schuelerinformationen fuer Korrektur-PDFs."""
+    student_id: str
+    name: str
+    class_name: str
+
+
+@dataclass
+class CorrectionData:
+    """Daten fuer Korrektur-Uebersicht PDF."""
+    student: StudentInfo
+    exam_title: str
+    subject: str
+    date: str
+    max_points: int
+    achieved_points: int
+    grade: str
+    percentage: float
+    corrections: List[Dict[str, Any]]  # [{question, answer, points, feedback}]
+    teacher_notes: str = ""
+    ai_feedback: str = ""
+    grade_distribution: Optional[Dict[str, int]] = None  # {note: anzahl}
+    class_average: Optional[float] = None