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fix: vocab_entries fuer column_text Sub-Sessions generieren
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_cells_to_vocab_entries wurde nur bei is_vocab (column_en/column_de)
aufgerufen. Fuer Sub-Sessions mit column_text wurden keine Eintraege
erzeugt, daher blieb die Korrektur-Tabelle leer.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Benjamin Admin
2026-03-10 10:28:27 +01:00
parent 13553fc5e6
commit 6bb023bdc1
1 changed files with 12 additions and 8 deletions
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20
klausur-service/backend/ocr_pipeline_api.py
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@@ -2020,9 +2020,10 @@ async def detect_words(
}, },
} }
# For vocab layout: map cells 1:1 to vocab entries (row→entry). # For vocab layout or single-column (box sub-sessions): map cells 1:1
# No content shuffling — each cell stays at its detected position. # to vocab entries (row→entry).
if is_vocab: has_text_col = 'column_text' in col_types
if is_vocab or has_text_col:
entries = _cells_to_vocab_entries(cells, columns_meta) entries = _cells_to_vocab_entries(cells, columns_meta)
entries = _fix_phonetic_brackets(entries, pronunciation=pronunciation) entries = _fix_phonetic_brackets(entries, pronunciation=pronunciation)
word_result["vocab_entries"] = entries word_result["vocab_entries"] = entries
@@ -2169,7 +2170,8 @@ async def _word_batch_stream_generator(
} }
vocab_entries = None vocab_entries = None
if is_vocab: has_text_col = 'column_text' in col_types
if is_vocab or has_text_col:
entries = _cells_to_vocab_entries(cells, columns_meta) entries = _cells_to_vocab_entries(cells, columns_meta)
entries = _fix_phonetic_brackets(entries, pronunciation=pronunciation) entries = _fix_phonetic_brackets(entries, pronunciation=pronunciation)
word_result["vocab_entries"] = entries word_result["vocab_entries"] = entries
@@ -2308,10 +2310,11 @@ async def _word_stream_generator(
}, },
} }
# For vocab layout: map cells 1:1 to vocab entries (row→entry). # For vocab layout or single-column (box sub-sessions): map cells 1:1
# No content shuffling — each cell stays at its detected position. # to vocab entries (row→entry).
vocab_entries = None vocab_entries = None
if is_vocab: has_text_col = 'column_text' in col_types
if is_vocab or has_text_col:
entries = _cells_to_vocab_entries(all_cells, columns_meta) entries = _cells_to_vocab_entries(all_cells, columns_meta)
entries = _fix_character_confusion(entries) entries = _fix_character_confusion(entries)
entries = _fix_phonetic_brackets(entries, pronunciation=pronunciation) entries = _fix_phonetic_brackets(entries, pronunciation=pronunciation)
@@ -3980,7 +3983,8 @@ async def run_auto(session_id: str, req: RunAutoRequest, request: Request):
}, },
} }
if is_vocab: has_text_col = 'column_text' in col_types
if is_vocab or has_text_col:
entries = _cells_to_vocab_entries(cells, columns_meta) entries = _cells_to_vocab_entries(cells, columns_meta)
entries = _fix_character_confusion(entries) entries = _fix_character_confusion(entries)
entries = _fix_phonetic_brackets(entries, pronunciation=req.pronunciation) entries = _fix_phonetic_brackets(entries, pronunciation=req.pronunciation)