Woody
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41f59b396f
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feat: track highlight generation prompt, response, and timing in history (Phase 5.5)
- Add 3 columns to query_history: highlight_prompt, highlight_response, highlight_time_ms
- HistoryService.update_highlights() updates existing row after batch LLM call
- ChunkHighlightService measures timing, captures prompt and structured JSON response
- SSE completed event includes history_id for frontend to pass back
- Frontend captures historyId, passes as ?history_id= query param in batch POST
- Highlight time tracked separately (excluded from total_time_ms)
- All 153 tests pass (108 backend + 45 frontend)
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2026-04-29 11:18:21 +08:00 |
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Woody
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b11d31e2d1
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feat: add sentence splitter and highlight data models (Phase 5.4.1-5.4.2)
- sentence_splitter.py: regex-based sentence splitting for English + Chinese punctuation
- highlight.py: 6 Pydantic models (ChunkHighlightTarget, HighlightBatchRequest,
RelevantSentence, ChunkHighlights, HighlightBatchResult, HighlightBatchResponse)
- 43 tests: 13 sentence splitter + 30 model validation
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2026-04-29 09:26:06 +08:00 |