4a368bde62
fix: update test_top_authors for new person_id return field
...
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-03-09 03:41:57 +01:00
1ec1f69bee
v0.3.0: Publication-ready release with blog site, paper update, and polish
...
Release prep:
- Version bump to 0.3.0 (pyproject.toml, cli.py)
- Rewrite README.md with current stats (475 drafts, 713 authors, 501 ideas)
- Add CONTRIBUTING.md with dev setup and code conventions
Blog site:
- Add scripts/build-site.py (markdown → HTML with clean CSS, dark mode, nav)
- Generate static site in docs/blog/ (10 pages)
- Ready for GitHub Pages deployment
Academic paper (paper/main.tex):
- Update all counts: 474→475 drafts, 557→710 authors, 1907→462 ideas, 11→12 gaps
- Add false-positive filtering methodology (113 excluded, 361 relevant)
- Add cross-org convergence analysis (132 ideas, 33% rate)
- Add GDPR compliance gap to gap table
- Add LLM-as-judge caveats to rating methodology and limitations
- Add FIPA, IEEE P3394, W3C WoT to related work with bibliography entries
- Fix safety ratio to show monthly variation (1.5:1 to 21:1)
Pipeline:
- Fetch 1 new draft (475 total), 3 new authors (713 total)
- Fix 16 ruff lint errors across test files
- All 106 tests pass
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-03-08 17:54:43 +01:00
e247bfef8f
Run pipeline, write Post 08, commit untracked files
...
Pipeline:
- Extract ideas for 38 new drafts → 462 ideas total
- Convergence analysis: 132 cross-org convergent ideas (33% rate)
- Fetch authors for 102 drafts → 709 authors (up from 403)
- Refresh gap analysis: 12 gaps across full 474-draft corpus
- Update verified counts with new totals
Post 08:
- Complete rewrite of "Agents Building the Agent Analysis" (2,953 words)
- Covers 3 phases: writing team → review cycle → fix cycle
- Meta-irony table mapping team coordination to IETF gap names
- Specific examples from dev journal (SQL injection, consent conflation, ideas mismatch)
Untracked files committed:
- scripts/: backfill-wg-names, classify-unrated, compare-classifiers, download-relevant-text, run-webui
- src/ietf_analyzer/classifier.py: two-stage Ollama classifier
- src/webui/: analytics (GDPR-compliant), auth, obsidian_export
- tests/test_obsidian_export.py (10 tests)
- data/reports/: wg-analysis, generated draft for gap #37
Housekeeping:
- .gitignore: exclude LaTeX artifacts, stale DBs, analytics.db
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-03-08 15:31:30 +01:00
20c45a7eba
Complete remaining medium/low issues: performance, CLI, types, CI, tests
...
Performance:
- Batch readiness computation (~200 queries → ~6 per page)
- Batch draft lookup in author network (N+1 → single query)
- File-based similarity matrix cache (.npy + metadata sidecar)
- 5-minute TTL embedding cache for search queries
CLI quality:
- Add pass_cfg_db decorator, convert ~30 commands to shared config/db lifecycle
- Add --dry-run to analyze, embed, embed-ideas, ideas, gaps commands
- Move 15+ in-function imports to top of data.py
Types & documentation:
- Add 16 TypedDicts to data.py, annotate 12 function return types
- Add ethics section to Post 06 (premature standardization, power asymmetry)
- Add EU AI Act Article 43 conformity mapping to Post 06
- Add NIS2 and CRA references to Post 04
CI & testing:
- Add GitHub Actions CI workflow (Python 3.11+3.12, ruff, pytest)
- Add API documentation for all 20 endpoints (data/reports/api-docs.md)
- Add 41 new tests (test_analyzer.py, test_search.py) — 64 total pass
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-03-08 14:06:54 +01:00
757b781c67
Platform upgrade: semantic search, citations, readiness, tests, Docker
...
Major features added by 5 parallel agent teams:
- Semantic "Ask" (NL queries via FTS5 + embeddings + Claude synthesis)
- Global search across drafts, ideas, authors, gaps
- REST API expansion (14 endpoints, up from 3) with CSV/JSON export
- Citation graph visualization (D3.js, 440 nodes, 2422 edges)
- Standards readiness scoring (0-100 composite from 6 factors)
- Side-by-side draft comparison view with shared/unique analysis
- Annotation system (notes + tags per draft, DB-persisted)
- Docker deployment (Dockerfile + docker-compose with Ollama)
- Scheduled updates (cron script with log rotation)
- Pipeline health dashboard (stage progress bars, cost tracking)
- Test suite foundation (54 pytest tests covering DB, models, web data)
Fixes: compare_drafts() stubbed→working, get_authors_for_draft() bug,
source-aware analysis prompts, config env var overrides + validation,
resilient batch error handling with --retry-failed, observatory --dry-run
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-03-07 20:52:56 +01:00
