pyr0ball
e52bdb5128
Retrieval:
- Add _fetch_adjacent() to retriever: fetches page ± 1 chunks from DB
after ranking so mid-sentence EPUB chunk boundaries don't lose context
- Fix vec DB doc-filter: oversample to top_k*20 before Python filter
instead of post-filtering an already-small global pool (fixes wrong-book
results when searching within a single document)
- top_k default 5 → 10; context per chunk 500 → 1500 chars; citation
snippet 200 → 400 chars
Artifact cleaning:
- Add scripts/text_clean.py: strips ABC Amber LIT Converter watermarks,
processtext.com URLs, bare page numbers, piracy stamps from extracted text
- Wire clean_paragraph() into ingest_pdf.py and new ingest_epub.py
Startup validation:
- _check_vec_schema() at boot: detects embedding dimension mismatch,
deletes stale vec DB, and queues sequential re-embed in background thread
- Sequential _reembed_docs() prevents SQLite lock races on startup re-embed
cf-orch integration:
- Wire CF_ORCH_URL / CF_LICENSE_KEY into LLMRouter backend config so
allocate() fires and keeps the Ollama model warm between requests
Ingestion progress UI:
- GET /api/library/{doc_id}/status now returns vec_count from page_vecs_meta
- DocumentCard.vue polls status every 3 s while processing and shows
two-phase progress: indeterminate animation during extraction,
determinate "Embedding N/M pages" bar once vectors start landing
Other:
- Chat feedback endpoint + thumbs up/down UI (FeedbackButton.vue)
- EPUB ingest script (ingest_epub.py) with heading-based chunking
- migration 002: chat_feedback table
- README.md with setup and feature overview
21 lines
390 B
YAML
21 lines
390 B
YAML
name: pagepiper
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channels:
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- conda-forge
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- defaults
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dependencies:
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- python=3.11
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- pip
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- pip:
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- fastapi>=0.110
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- uvicorn[standard]>=0.29
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- rank-bm25>=0.2
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- PyYAML>=6.0
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- httpx>=0.27
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- pdfplumber>=0.11
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- pytesseract>=0.3
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- Pillow>=10.0
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- ebooklib>=0.18
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- beautifulsoup4>=4.12
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- sqlite-vec>=0.1
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- pytest>=8.0
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- pytest-asyncio>=0.23
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