Tarik Moussa
|
1df9be6563
|
feat(F-09): rich parsing — formula + figure extraction
- codex/parsing/mathpix.py: pix2tex (local, CPU) primary + MathPix API
optional; bbox heuristic h>15px, math-char-count>5; singleton model cache
- codex/parsing/figures.py: pymupdf embedded-image extraction → PNG;
caption detection via proximity + "Figure/Fig./Abbildung" prefix
- codex/models.py: FormulaChunk + FigureChunk dataclasses (R-10/R-11)
- codex/ingest.py: --rich flag wires formula+figure extraction post-ingest
- codex/cli.py: search_app sub-typer (paper + formula subcommands),
--rich flag on ingest; wiki_app from F-12 preserved intact
- codex/config.py: mathpix_app_id/key, pix2tex_fallback, figures_dir
- infra/schema.sql: formulas + figures tables with HNSW pgvector indexes
- pyproject.toml: pymupdf>=1.24, pix2tex>=0.1.4
- tests/parsing/test_mathpix.py + test_figures.py: 31 tests (mock pix2tex
+ MathPix HTTP, real pymupdf on synthetic PDF)
Gate: 158 passed, ruff clean, mypy clean (20 files)
Requirements: R-10 R-11 R-12 R-13 R-14 → done
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
|
2026-06-14 01:16:24 +02:00 |
|
Tarik Moussa
|
5344975bb1
|
feat(ingest): end-to-end idempotent ingest pipeline
Implements codex/ingest.py with:
- OpenAlex primary / Semantic Scholar fallback metadata fetch
- Abstract dense embedding (zero-vector for missing abstracts)
- Idempotent paper upsert (ON CONFLICT DO UPDATE)
- Source file parsing (.tex via latex_to_text, .pdf via nougat + grobid)
- Chunk deletion + bulk re-insert with dense embeddings
- Citation merge from OpenAlex/S2 API and GROBID PDF refs (dedup via set)
- 7 tests covering basic, tex, pdf, not-found, idempotent, arxiv-fallback,
and no-abstract scenarios (all mocked, offline)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
|
2026-06-05 07:04:12 +02:00 |
|