b2a0126f14
klausur-service (7 monoliths): - grid_editor_helpers.py (1,737 → 5 files: columns, filters, headers, zones) - cv_cell_grid.py (1,675 → 7 files: build, legacy, streaming, merge, vocab) - worksheet_editor_api.py (1,305 → 4 files: models, AI, reconstruct, routes) - legal_corpus_ingestion.py (1,280 → 3 files: registry, chunking, ingestion) - cv_review.py (1,248 → 4 files: pipeline, spell, LLM, barrel) - cv_preprocessing.py (1,166 → 3 files: deskew, dewarp, barrel) - rbac.py, admin_api.py, routes/eh.py remain (next batch) backend-lehrer (1 monolith): - classroom_engine/repository.py (1,705 → 7 files by domain) All re-export barrels preserve backward compatibility. Zero import errors verified. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
47 lines
1.2 KiB
Python
47 lines
1.2 KiB
Python
"""
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Multi-pass OCR, line matching, LLM/spell review, and pipeline orchestration.
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Re-export facade -- all logic lives in the sub-modules:
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cv_review_pipeline Stages 6-8: OCR, line alignment, orchestrator
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cv_review_spell Rule-based spell-checker OCR correction
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cv_review_llm LLM-based OCR correction, prompt building, streaming
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Lizenz: Apache 2.0 (kommerziell nutzbar)
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DATENSCHUTZ: Alle Verarbeitung erfolgt lokal.
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"""
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# Re-export everything for backward compatibility
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from cv_review_pipeline import ( # noqa: F401
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ocr_region,
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run_multi_pass_ocr,
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match_lines_to_vocab,
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llm_post_correct,
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run_cv_pipeline,
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)
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from cv_review_spell import ( # noqa: F401
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_SPELL_AVAILABLE,
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_spell_dict_knows,
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_spell_fix_field,
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_spell_fix_token,
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_try_split_merged_word,
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_normalize_page_ref,
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spell_review_entries_sync,
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spell_review_entries_streaming,
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)
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from cv_review_llm import ( # noqa: F401
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OLLAMA_REVIEW_MODEL,
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REVIEW_ENGINE,
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_REVIEW_BATCH_SIZE,
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_build_llm_prompt,
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_diff_batch,
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_entry_needs_review,
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_is_spurious_change,
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_parse_llm_json_array,
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_sanitize_for_json,
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llm_review_entries,
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llm_review_entries_streaming,
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)
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