Commit Graph

6 Commits

Author SHA1 Message Date
Tarik Moussa
bf90c6cd57 feat(grobid): run GROBID on-demand (restart "no") to free ~3.5GB when idle
GROBID is only needed during reference extraction (ra_grobid_backfill.py),
not for normal corpus operations (search, embeddings, wiki). Idle it still
holds ~3.5GB on the 8GB Jetson, so keep it stopped by default.

- infra/docker-compose.yml: grobid restart unless-stopped -> "no" (no auto-start
  on boot; db keeps unless-stopped). Start/stop papers-grobid around an R-A run.
- docs/infra/grobid-jetson.md: add "Run on-demand" section with the start/stop
  workflow, and record the refextract head-to-head evaluation on the Jetson that
  led to keeping GROBID: far worse DOI recall on this math corpus (lutz thesis
  101 usable IDs vs refextract 2) and slower per PDF despite a smaller footprint.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-17 21:36:04 +02:00
Tarik Moussa
1516684bbb feat(grobid): R-A reference backfill + native arm64 GROBID on Jetson
Enable roadmap R-A (GROBID reference extraction) end-to-end and run it
against local Jetson infra instead of a Mac/Rosetta emulation.

Backfill:
- Add scripts/ra_grobid_backfill.py: references-only, idempotent citation
  backfill (dry-run default). Deliberately not ingest_paper(source_path=pdf),
  which re-OCRs and replaces the DQ-3-clean .txt chunks; this touches only the
  citations table (ON CONFLICT DO NOTHING). 7 tests.
- Make extract_references timeout configurable (large theses exceed the 60s
  default, especially against a slower GROBID).

Jetson infra:
- Bump grobid/grobid 0.8.2 -> 0.9.0-crf. The -crf tag is the only GROBID
  variant published as an arm64 multi-arch manifest; every 0.8.x tag and the
  full deep-learning image are amd64-only, which is why GROBID never ran on the
  aarch64 Jetson. Enable the 4g memory cap + init/ulimits per GROBID docs.
- Add docs/infra/grobid-jetson.md runbook: arm64 image rationale, the two host
  prerequisites (docker-group membership + the Compose v2 CLI plugin, both
  missing on the Jetson), service-scoped deploy, and the GET /api/isalive check.
  Verified live 2026-06-17: native arm64 pull, isalive=true, end-to-end
  extract_references on lutz-2024-thesis.pdf = 116 refs (101 with DOI/arXiv).

docs(audit): mark R-A core done (citing coverage 27/29 -> 29/29; edges 920 -> 1022).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-17 08:28:34 +02:00
Tarik Moussa
5dfa6e4bae feat(graph): paper_identifiers table — multi-ID alias support
Fixes preprint/journal duplicate problem: arXiv papers were ingested
under their preprint OpenAlex ID, but corpus citations reference the
published-version OpenAlex ID → those citations were invisible in the
graph (appeared as dangling).

Changes:
- infra/schema.sql: CREATE TABLE paper_identifiers (paper_id, openalex_id)
  with UNIQUE index; seeded from papers.openalex_id on migration
- codex/graph.py: build_citation_graph LEFT JOINs paper_identifiers as
  a second resolution path: COALESCE(p.id, pi.paper_id, c.cited_id)
- codex/ingest.py: every ingest inserts openalex_id into paper_identifiers
  (ON CONFLICT DO NOTHING) — aliases can be added manually alongside

Live DB: 35 rows seeded + 4 published-version aliases added:
  math/0503219 → W2163787581 (DCG 2007)
  math/0306167 → W2136126748 (Commun Analysis Geom 2004)
  math/0203250 → W1567166970 (Trans AMS 2003)
  1005.2698    → W1511400044 (Geom & Topol 2015)

Effect: dangling 574→570; Bobenko+Springborn 2007 now IN-KB rank 9.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-15 07:42:21 +02:00
9647897173 feat(F-16): chunk quality gate + section classification
3-signal quality filter (length/alpha-ratio/bib-score) + rule-based section classifier + retroactive CLI pass. 35 new tests, 287 total green.
2026-06-15 01:22:44 +00:00
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
e7ac7766a5 feat: initial project scaffold
pyproject.toml (Python 3.12, uv), codex/ package (config, db, models),
infra/ (docker-compose + schema), .env.example, .gitignore, README.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-04 11:19:10 +02:00