Restructure: Move 52 files into 7 domain packages

korrektur/ zeugnis/ admin/ compliance/ worksheet/ training/ metrics/
52 shims, relative imports, RAG untouched.

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

klausur-service/backend/nru_worksheet_models.py

@@ -1,70 +1,4 @@
-"""
-NRU Worksheet Models — data classes and entry separation logic.
-
-Extracted from nru_worksheet_generator.py for modularity.
-"""
-
-import logging
-from typing import List, Dict, Tuple
-from dataclasses import dataclass
-
-logger = logging.getLogger(__name__)
-
-
-@dataclass
-class VocabEntry:
-    english: str
-    german: str
-    source_page: int = 1
-
-
-@dataclass
-class SentenceEntry:
-    german: str
-    english: str  # For solution sheet
-    source_page: int = 1
-
-
-def separate_vocab_and_sentences(entries: List[Dict]) -> Tuple[List[VocabEntry], List[SentenceEntry]]:
-    """
-    Separate vocabulary entries into single words/phrases and full sentences.
-
-    Sentences are identified by:
-    - Ending with punctuation (. ! ?)
-    - Being longer than 40 characters
-    - Containing multiple words with capital letters mid-sentence
-    """
-    vocab_list = []
-    sentence_list = []
-
-    for entry in entries:
-        english = entry.get("english", "").strip()
-        german = entry.get("german", "").strip()
-        source_page = entry.get("source_page", 1)
-
-        if not english or not german:
-            continue
-
-        # Detect if this is a sentence
-        is_sentence = (
-            english.endswith('.') or
-            english.endswith('!') or
-            english.endswith('?') or
-            len(english) > 50 or
-            (len(english.split()) > 5 and any(w[0].isupper() for w in english.split()[1:] if w))
-        )
-
-        if is_sentence:
-            sentence_list.append(SentenceEntry(
-                german=german,
-                english=english,
-                source_page=source_page
-            ))
-        else:
-            vocab_list.append(VocabEntry(
-                english=english,
-                german=german,
-                source_page=source_page
-            ))
-
-    return vocab_list, sentence_list
+# Backward-compat shim -- module moved to worksheet/nru_models.py
+import importlib as _importlib
+import sys as _sys
+_sys.modules[__name__] = _importlib.import_module("worksheet.nru_models")