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Fix: Resolve all lint errors from ocr/ restructure

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- Added ocr_region import to cell_grid/build.py and legacy.py
- Fixed circular import in engines.py via lazy import
- Auto-fixed 22 unused imports via ruff --fix

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
Benjamin Admin
2026-04-25 21:15:53 +02:00
parent cb1be59e46
commit 098a2ff092
11 changed files with 14 additions and 24 deletions
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1
klausur-service/backend/ocr/cell_grid/build.py
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@@ -11,6 +11,7 @@ from typing import Any, Dict, List, Optional, Tuple
import numpy as np
from ..types import PageRegion, RowGeometry
from ..review.pipeline import ocr_region # noqa: F401 — Tesseract fallback
from ..engines.engines import (
RAPIDOCR_AVAILABLE,
_assign_row_words_to_columns,

1
klausur-service/backend/ocr/cell_grid/legacy.py
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@@ -13,6 +13,7 @@ from typing import Any, Dict, List, Optional, Tuple
import numpy as np
from ..types import PageRegion, RowGeometry
from ..review.pipeline import ocr_region # noqa: F401 — Tesseract wrapper
from ..engines.engines import (
RAPIDOCR_AVAILABLE,
_assign_row_words_to_columns,

4
klausur-service/backend/ocr/detect/box_layout.py
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@@ -10,7 +10,7 @@ Used by the Box-Grid-Review step to rebuild box zones with correct structure.
import logging
import re
import statistics
from typing import Any, Dict, List, Optional, Tuple
from typing import Any, Dict, List, Optional
logger = logging.getLogger(__name__)
@@ -149,7 +149,7 @@ def build_box_zone_grid(
Returns the same format as _build_zone_grid (columns, rows, cells, header_rows).
"""
from grid_editor_helpers import _build_zone_grid, _cluster_rows
from grid_editor_helpers import _build_zone_grid
if not zone_words:
return {

2
klausur-service/backend/ocr/detect/color_detect.py
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@@ -14,7 +14,7 @@ DATENSCHUTZ: Alle Verarbeitung erfolgt lokal.
"""
import logging
from typing import Any, Dict, List, Optional, Tuple
from typing import Dict, List, Tuple
import cv2
import numpy as np

2
klausur-service/backend/ocr/detect/syllable/core.py
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@@ -9,7 +9,7 @@ DATENSCHUTZ: Alle Verarbeitung erfolgt lokal.
import logging
import re
from typing import Any, Dict, List, Optional, Tuple
from typing import Dict, List, Optional
logger = logging.getLogger(__name__)

2
klausur-service/backend/ocr/detect/syllable/merge.py
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@@ -9,7 +9,7 @@ DATENSCHUTZ: Alle Verarbeitung erfolgt lokal.
import logging
import re
from typing import Any, Dict, List, Optional
from typing import Dict, List, Optional
import numpy as np

17
klausur-service/backend/ocr/engines/engines.py
View File

@@ -16,20 +16,14 @@ Lizenz: Apache 2.0 (kommerziell nutzbar)
DATENSCHUTZ: Alle Verarbeitung erfolgt lokal.
"""
import io
import logging
import os
import re
from typing import Any, Dict, List, Optional, Tuple
from typing import Any, Dict, List, Optional
import numpy as np
from ..types import (
IPA_AVAILABLE,
PageRegion,
RowGeometry,
_britfone_dict,
_ipa_convert_american,
)
logger = logging.getLogger(__name__)
@@ -194,7 +188,7 @@ def ocr_region_trocr(img_bgr: np.ndarray, region: PageRegion, handwritten: bool
if region.height > 0 and region.width > 0:
ocr_img_crop = cv2.cvtColor(img_bgr, cv2.COLOR_BGR2GRAY) if img_bgr is not None else None
if ocr_img_crop is not None:
return ocr_region(ocr_img_crop, region, lang="eng+deu", psm=6)
from ..review.pipeline import ocr_region as _ocr_region; return _ocr_region(ocr_img_crop, region, lang="eng+deu", psm=6)
return []
crop = img_bgr[region.y:region.y + region.height, region.x:region.x + region.width]
@@ -209,7 +203,7 @@ def ocr_region_trocr(img_bgr: np.ndarray, region: PageRegion, handwritten: bool
if processor is None or model is None:
logger.warning("TrOCR model not loaded, falling back to Tesseract")
ocr_img_crop = cv2.cvtColor(img_bgr, cv2.COLOR_BGR2GRAY)
return ocr_region(ocr_img_crop, region, lang="eng+deu", psm=6)
from ..review.pipeline import ocr_region as _ocr_region; return _ocr_region(ocr_img_crop, region, lang="eng+deu", psm=6)
pil_crop = _PILImage.fromarray(cv2.cvtColor(crop, cv2.COLOR_BGR2RGB))
lines = _split_into_lines(pil_crop)
@@ -260,14 +254,13 @@ def ocr_region_lighton(img_bgr: np.ndarray, region: PageRegion) -> List[Dict[str
if RAPIDOCR_AVAILABLE and img_bgr is not None:
return ocr_region_rapid(img_bgr, region)
ocr_img_crop = cv2.cvtColor(img_bgr, cv2.COLOR_BGR2GRAY) if img_bgr is not None else None
return ocr_region(ocr_img_crop, region, lang="eng+deu", psm=6) if ocr_img_crop is not None else []
from ..review.pipeline import ocr_region as _ocr_region; return _ocr_region(ocr_img_crop, region, lang="eng+deu", psm=6) if ocr_img_crop is not None else []
crop = img_bgr[region.y:region.y + region.height, region.x:region.x + region.width]
if crop.size == 0:
return []
try:
import io
import torch
from PIL import Image as _PILImage
@@ -277,7 +270,7 @@ def ocr_region_lighton(img_bgr: np.ndarray, region: PageRegion) -> List[Dict[str
if RAPIDOCR_AVAILABLE and img_bgr is not None:
return ocr_region_rapid(img_bgr, region)
ocr_img_crop = cv2.cvtColor(img_bgr, cv2.COLOR_BGR2GRAY)
return ocr_region(ocr_img_crop, region, lang="eng+deu", psm=6)
from ..review.pipeline import ocr_region as _ocr_region; return _ocr_region(ocr_img_crop, region, lang="eng+deu", psm=6)
pil_crop = _PILImage.fromarray(cv2.cvtColor(crop, cv2.COLOR_BGR2RGB))
conversation = [{"role": "user", "content": [{"type": "image"}]}]

2
klausur-service/backend/ocr/engines/ipa_repair.py
View File

@@ -14,7 +14,7 @@ Contains:
import logging
import re
from typing import Any, Dict, List, Optional
from typing import List
from ..types import IPA_AVAILABLE
from .ipa_lookup import (

2
klausur-service/backend/ocr/layout/layout.py
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@@ -17,7 +17,7 @@ Sub-modules:
"""
import logging
from typing import Any, Dict, List, Optional, Tuple
from typing import Dict, List, Optional, Tuple
import numpy as np

1
klausur-service/backend/ocr/preprocessing/dewarp.py
View File

@@ -18,7 +18,6 @@ import numpy as np
from ..types import (
CV2_AVAILABLE,
TESSERACT_AVAILABLE,
)
logger = logging.getLogger(__name__)

4
klausur-service/backend/ocr/preprocessing/preprocessing.py
View File

@@ -17,10 +17,6 @@ from typing import Tuple
import numpy as np
from ..types import (
CV2_AVAILABLE,
TESSERACT_AVAILABLE,
)
logger = logging.getLogger(__name__)