fix(llm): RAG citation pages, scrub placeholders, disease-aware document choice
CI / ruff · pytest (pull_request) Successful in 1m2s
CI / ruff · pytest (pull_request) Successful in 1m2s
- converter marks a paragraph glued across a page break with ⟦стр. N⟧; the chunker
strips the marker and extends the chunk's page range (wrong-page citations 24 -> 3,
the rest are scale-form table rows split by a page)
- [NAME]/[PHONE] placeholders from privacy.scrub() no longer count as unknown words
(a scrubbed question used to fall below the coverage gate)
- a question naming one disease boosts its guideline in retrieval and passage choice
("ТМС при депрессии" was answered from the PTSD guideline); "антидепрессант" is not a cue
Refs #62
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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@@ -59,6 +59,12 @@ retrieval:
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"Приложение В": 1.5
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"Приложение Г": 0.5
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"Критерии оценки качества": 0.5
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# Заболевание в вопросе -> профильная КР (регулярные выражения по вопросу в нижнем регистре).
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# Если названы оба — ни одна не получает преимущества. Иначе «ТМС при депрессии» отвечался цитатой из КР ПТСР.
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doc_cues:
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kr_depression: ["(?<!анти)депресс", "\\bдэ\\b", "\\bрдр\\b"]
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kr_ptsd: ["птср", "посттравмат", "травм", "\\bвойн", "боев", "фронт", "ветеран", "\\bсво\\b", "ptsd"]
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doc_cue_boost: 2.0
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answer:
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max_chunks: 5 # в скольких лучших фрагментах ищем отрывок
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