feat(T03): OCR-Erfassung via OpenRouter Qwen2.5-VL + OCR UI with drag-and-drop

backend/app/schemas/ocr.py

@@ -0,0 +1,64 @@
+"""Pydantic schemas for OCR-related request and response bodies."""
+
+import uuid
+from datetime import datetime
+from typing import Any, Optional
+
+from pydantic import BaseModel, ConfigDict, Field
+
+
+class OCRUploadResponse(BaseModel):
+    """Response for POST /api/v1/ocr/upload."""
+
+    message: str = "OCR processing queued"
+    ocr_result_id: uuid.UUID
+    status: str = "pending"
+
+
+class OCRStructuredData(BaseModel):
+    """Structured data extracted from OCR scan (ZB I/II fields)."""
+
+    brand: Optional[str] = None
+    model: Optional[str] = None
+    vin: Optional[str] = None
+    first_registration: Optional[str] = None
+    mileage: Optional[int] = None
+    power_kw: Optional[int] = None
+    fuel_type: Optional[str] = None
+
+
+class OCRResultResponse(BaseModel):
+    """Response for GET /api/v1/ocr/results/:id."""
+
+    model_config = ConfigDict(from_attributes=True)
+
+    id: uuid.UUID
+    vehicle_id: Optional[uuid.UUID] = None
+    file_path: str
+    file_name: str
+    mime_type: str
+    status: str
+    raw_text: Optional[str] = None
+    structured_data: Optional[dict[str, Any]] = None
+    confidence_score: Optional[float] = None
+    error_message: Optional[str] = None
+    created_at: Optional[datetime] = None
+    updated_at: Optional[datetime] = None
+
+
+class OCRResultListResponse(BaseModel):
+    """Paginated OCR results list response."""
+
+    items: list[OCRResultResponse]
+    total: int
+    page: int
+    page_size: int
+
+
+class OCRApplyResponse(BaseModel):
+    """Response for POST /api/v1/ocr/results/:id/apply."""
+
+    message: str = "OCR data applied to vehicle"
+    ocr_result_id: uuid.UUID
+    vehicle_id: uuid.UUID
+    updated_fields: list[str] = Field(default_factory=list)