Restructure: Move ocr_pipeline + labeling + crop into ocr/ package

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

klausur-service/backend/ocr_labeling_models.py

@@ -1,86 +1,4 @@
-"""
-OCR Labeling - Pydantic Models and Constants
-
-Extracted from ocr_labeling_api.py to keep files under 500 LOC.
-"""
-
-import os
-from pydantic import BaseModel
-from typing import Optional, Dict
-from datetime import datetime
-
-
-# Local storage path (fallback if MinIO not available)
-LOCAL_STORAGE_PATH = os.getenv("OCR_STORAGE_PATH", "/app/ocr-labeling")
-
-
-# =============================================================================
-# Pydantic Models
-# =============================================================================
-
-class SessionCreate(BaseModel):
-    name: str
-    source_type: str = "klausur"  # klausur, handwriting_sample, scan
-    description: Optional[str] = None
-    ocr_model: Optional[str] = "llama3.2-vision:11b"
-
-
-class SessionResponse(BaseModel):
-    id: str
-    name: str
-    source_type: str
-    description: Optional[str]
-    ocr_model: Optional[str]
-    total_items: int
-    labeled_items: int
-    confirmed_items: int
-    corrected_items: int
-    skipped_items: int
-    created_at: datetime
-
-
-class ItemResponse(BaseModel):
-    id: str
-    session_id: str
-    session_name: str
-    image_path: str
-    image_url: Optional[str]
-    ocr_text: Optional[str]
-    ocr_confidence: Optional[float]
-    ground_truth: Optional[str]
-    status: str
-    metadata: Optional[Dict]
-    created_at: datetime
-
-
-class ConfirmRequest(BaseModel):
-    item_id: str
-    label_time_seconds: Optional[int] = None
-
-
-class CorrectRequest(BaseModel):
-    item_id: str
-    ground_truth: str
-    label_time_seconds: Optional[int] = None
-
-
-class SkipRequest(BaseModel):
-    item_id: str
-
-
-class ExportRequest(BaseModel):
-    export_format: str = "generic"  # generic, trocr, llama_vision
-    session_id: Optional[str] = None
-    batch_id: Optional[str] = None
-
-
-class StatsResponse(BaseModel):
-    total_sessions: Optional[int] = None
-    total_items: int
-    labeled_items: int
-    confirmed_items: int
-    corrected_items: int
-    pending_items: int
-    exportable_items: Optional[int] = None
-    accuracy_rate: float
-    avg_label_time_seconds: Optional[float] = None
+# Backward-compat shim -- module moved to ocr/labeling/models.py
+import importlib as _importlib
+import sys as _sys
+_sys.modules[__name__] = _importlib.import_module("ocr.labeling.models")