Fix: Update all old-style imports inside packages to new paths

65 files in klausur-service packages + 3 in backend-lehrer packages
had stale imports referencing deleted shim modules.

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

klausur-service/backend/grid/editor/api_grid.py

@@ -7,11 +7,11 @@ import logging
 from fastapi import APIRouter, HTTPException, Query, Request
 
 from grid.build.core import _build_grid_core
-from ocr_pipeline_session_store import (
+from ocr.pipeline.session_store import (
     get_session_db,
     update_session_db,
 )
-from ocr_pipeline_common import (
+from ocr.pipeline.common import (
     _cache,
     _load_session_to_cache,
     _get_cached,
@@ -60,7 +60,7 @@ async def build_grid(
 
     # Save automatic grid snapshot for later comparison with manual corrections
     # Lazy import to avoid circular dependency with ocr_pipeline_regression
-    from ocr_pipeline_regression import _build_reference_snapshot
+    from ocr.pipeline.regression import _build_reference_snapshot
 
     wr = session.get("word_result") or {}
     engine = wr.get("ocr_engine", "")
@@ -134,7 +134,7 @@ async def rerun_ocr_and_build_grid(
     # 2. Scan quality assessment
     scan_quality_info = {}
     try:
-        from scan_quality import score_scan_quality
+        from ocr.pipeline.scan_quality import score_scan_quality
         quality_report = score_scan_quality(ocr_input)
         scan_quality_info = quality_report.to_dict()
         actual_min_conf = min_conf if min_conf > 0 else quality_report.recommended_min_conf
@@ -146,7 +146,7 @@ async def rerun_ocr_and_build_grid(
     is_degraded = scan_quality_info.get("is_degraded", False)
     if enhance and is_degraded:
         try:
-            from ocr_image_enhance import enhance_for_ocr
+            from ocr.image_enhance import enhance_for_ocr
             ocr_input = enhance_for_ocr(ocr_input, is_degraded=True)
             logger.info("rerun-ocr: CLAHE enhancement applied")
         except Exception as e:
@@ -159,8 +159,8 @@ async def rerun_ocr_and_build_grid(
     # RapidOCR
     rapid_words = []
     try:
-        from cv_ocr_engines import ocr_region_rapid
-        from cv_vocab_types import PageRegion
+        from ocr.engines.engines import ocr_region_rapid
+        from ocr.types import PageRegion
         full_region = PageRegion(type="full_page", x=0, y=0, width=img_w, height=img_h)
         rapid_words = ocr_region_rapid(ocr_input, full_region) or []
     except Exception as e:
@@ -182,7 +182,7 @@ async def rerun_ocr_and_build_grid(
         })
 
     # 5. Merge OCR results
-    from ocr_pipeline_ocr_merge import _split_paddle_multi_words, _merge_paddle_tesseract, _deduplicate_words
+    from ocr.pipeline.ocr_merge import _split_paddle_multi_words, _merge_paddle_tesseract, _deduplicate_words
     rapid_split = _split_paddle_multi_words(rapid_words) if rapid_words else []
     if rapid_split or tess_words:
         merged_words = _merge_paddle_tesseract(rapid_split, tess_words)
@@ -207,7 +207,7 @@ async def rerun_ocr_and_build_grid(
     vision_applied = False
     if vision_fusion:
         try:
-            from vision_ocr_fusion import vision_fuse_ocr
+            from ocr.pipeline.vision_fusion import vision_fuse_ocr
             category = doc_category or session.get("document_category") or "vokabelseite"
             logger.info(f"rerun-ocr: running Vision-LLM fusion (category={category})")
             merged_words = await vision_fuse_ocr(ocr_input, merged_words, category)