[split-required] Split 500-850 LOC files (batch 2)

backend-lehrer (10 files):
- game/database.py (785 → 5), correction_api.py (683 → 4)
- classroom_engine/antizipation.py (676 → 5)
- llm_gateway schools/edu_search already done in prior batch

klausur-service (12 files):
- orientation_crop_api.py (694 → 5), pdf_export.py (677 → 4)
- zeugnis_crawler.py (676 → 5), grid_editor_api.py (671 → 5)
- eh_templates.py (658 → 5), mail/api.py (651 → 5)
- qdrant_service.py (638 → 5), training_api.py (625 → 4)

website (6 pages):
- middleware (696 → 8), mail (733 → 6), consent (628 → 8)
- compliance/risks (622 → 5), export (502 → 5), brandbook (629 → 7)

studio-v2 (3 components):
- B2BMigrationWizard (848 → 3), CleanupPanel (765 → 2)
- dashboard-experimental (739 → 2)

admin-lehrer (4 files):
- uebersetzungen (769 → 4), manager (670 → 2)
- ChunkBrowserQA (675 → 6), dsfa/page (674 → 5)

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

klausur-service/backend/training_models.py

@@ -0,0 +1,118 @@
+"""
+Training API — enums, request/response models, and in-memory state.
+"""
+
+import uuid
+from datetime import datetime
+from typing import Optional, List, Dict, Any
+from enum import Enum
+from dataclasses import dataclass, field
+from pydantic import BaseModel, Field
+
+
+# ============================================================================
+# ENUMS
+# ============================================================================
+
+class TrainingStatus(str, Enum):
+    QUEUED = "queued"
+    PREPARING = "preparing"
+    TRAINING = "training"
+    VALIDATING = "validating"
+    COMPLETED = "completed"
+    FAILED = "failed"
+    PAUSED = "paused"
+    CANCELLED = "cancelled"
+
+
+class ModelType(str, Enum):
+    ZEUGNIS = "zeugnis"
+    KLAUSUR = "klausur"
+    GENERAL = "general"
+
+
+# ============================================================================
+# REQUEST/RESPONSE MODELS
+# ============================================================================
+
+class TrainingConfig(BaseModel):
+    """Configuration for a training job."""
+    name: str = Field(..., description="Name for the training job")
+    model_type: ModelType = Field(ModelType.ZEUGNIS, description="Type of model to train")
+    bundeslaender: List[str] = Field(..., description="List of Bundesland codes to include")
+    batch_size: int = Field(16, ge=1, le=128)
+    learning_rate: float = Field(0.00005, ge=0.000001, le=0.1)
+    epochs: int = Field(10, ge=1, le=100)
+    warmup_steps: int = Field(500, ge=0, le=10000)
+    weight_decay: float = Field(0.01, ge=0, le=1)
+    gradient_accumulation: int = Field(4, ge=1, le=32)
+    mixed_precision: bool = Field(True, description="Use FP16 mixed precision training")
+
+
+class TrainingMetrics(BaseModel):
+    """Metrics from a training job."""
+    precision: float = 0.0
+    recall: float = 0.0
+    f1_score: float = 0.0
+    accuracy: float = 0.0
+    loss_history: List[float] = []
+    val_loss_history: List[float] = []
+
+
+class TrainingJob(BaseModel):
+    """A training job with full details."""
+    id: str
+    name: str
+    model_type: ModelType
+    status: TrainingStatus
+    progress: float
+    current_epoch: int
+    total_epochs: int
+    loss: float
+    val_loss: float
+    learning_rate: float
+    documents_processed: int
+    total_documents: int
+    started_at: Optional[datetime]
+    estimated_completion: Optional[datetime]
+    completed_at: Optional[datetime]
+    error_message: Optional[str]
+    metrics: TrainingMetrics
+    config: TrainingConfig
+
+
+class ModelVersion(BaseModel):
+    """A trained model version."""
+    id: str
+    job_id: str
+    version: str
+    model_type: ModelType
+    created_at: datetime
+    metrics: TrainingMetrics
+    is_active: bool
+    size_mb: float
+    bundeslaender: List[str]
+
+
+class DatasetStats(BaseModel):
+    """Statistics about the training dataset."""
+    total_documents: int
+    total_chunks: int
+    training_allowed: int
+    by_bundesland: Dict[str, int]
+    by_doc_type: Dict[str, int]
+
+
+# ============================================================================
+# IN-MEMORY STATE (Replace with database in production)
+# ============================================================================
+
+@dataclass
+class TrainingState:
+    """Global training state."""
+    jobs: Dict[str, dict] = field(default_factory=dict)
+    model_versions: Dict[str, dict] = field(default_factory=dict)
+    active_job_id: Optional[str] = None
+
+
+_state = TrainingState()