Christian Nennemann
1ec1f69bee
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>
39 lines
796 B
TOML
39 lines
796 B
TOML
[build-system]
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requires = ["setuptools>=68.0"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "ietf-draft-analyzer"
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version = "0.3.0"
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description = "Track, categorize, and rate AI/agent-related IETF Internet-Drafts"
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requires-python = ">=3.11"
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dependencies = [
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"click>=8.0",
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"httpx>=0.27",
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"anthropic>=0.40",
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"ollama>=0.4",
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"rich>=13.0",
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"numpy>=1.26",
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"python-dotenv>=1.0",
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"plotly>=5.18",
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"matplotlib>=3.8",
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"seaborn>=0.13",
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"scipy>=1.11",
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"scikit-learn>=1.3",
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"networkx>=3.2",
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"markdown>=3.5",
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"flask>=3.0",
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]
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[project.optional-dependencies]
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test = ["pytest", "pytest-cov"]
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[project.scripts]
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ietf = "ietf_analyzer.cli:main"
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[tool.setuptools.packages.find]
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where = ["src"]
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[tool.pytest.ini_options]
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pythonpath = ["src"]
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