[split-required] Split 700-870 LOC files across all services

backend-lehrer (11 files):
- llm_gateway/routes/schools.py (867 → 5), recording_api.py (848 → 6)
- messenger_api.py (840 → 5), print_generator.py (824 → 5)
- unit_analytics_api.py (751 → 5), classroom/routes/context.py (726 → 4)
- llm_gateway/routes/edu_search_seeds.py (710 → 4)

klausur-service (12 files):
- ocr_labeling_api.py (845 → 4), metrics_db.py (833 → 4)
- legal_corpus_api.py (790 → 4), page_crop.py (758 → 3)
- mail/ai_service.py (747 → 4), github_crawler.py (767 → 3)
- trocr_service.py (730 → 4), full_compliance_pipeline.py (723 → 4)
- dsfa_rag_api.py (715 → 4), ocr_pipeline_auto.py (705 → 4)

website (6 pages):
- audit-checklist (867 → 8), content (806 → 6)
- screen-flow (790 → 4), scraper (789 → 5)
- zeugnisse (776 → 5), modules (745 → 4)

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

klausur-service/backend/compliance_models.py

@@ -0,0 +1,49 @@
+"""
+Compliance Pipeline Data Models.
+
+Dataclasses for checkpoints, controls, and measures.
+"""
+
+from typing import Optional, List
+from dataclasses import dataclass
+
+
+@dataclass
+class Checkpoint:
+    """A requirement/checkpoint extracted from legal text."""
+    id: str
+    regulation_code: str
+    regulation_name: str
+    article: Optional[str]
+    title: str
+    description: str
+    original_text: str
+    chunk_id: str
+    source_url: str
+
+
+@dataclass
+class Control:
+    """A control derived from checkpoints."""
+    id: str
+    domain: str
+    title: str
+    description: str
+    checkpoints: List[str]  # List of checkpoint IDs
+    pass_criteria: str
+    implementation_guidance: str
+    is_automated: bool
+    automation_tool: Optional[str]
+    priority: str
+
+
+@dataclass
+class Measure:
+    """A remediation measure for a control."""
+    id: str
+    control_id: str
+    title: str
+    description: str
+    responsible: str
+    deadline_days: int
+    status: str