Christian Nennemann
d6beb9c0a0
Gap-to-Draft Pipeline (ietf pipeline): - Context builder assembles ideas, RFC foundations, similar drafts, ecosystem vision - Generator produces outlines + sections using rich context with Claude - Quality gates: novelty (embedding similarity), references, format, self-rating - Family coordinator generates 5-draft ecosystem (AEM/ATD/HITL/AEPB/APAE) - I-D formatter with proper headers, references, 72-char wrapping Living Standards Observatory (ietf observatory): - Source abstraction with IETF + W3C fetchers - 7-step update pipeline: snapshot, fetch, analyze, embed, ideas, gaps, record - Static GitHub Pages dashboard (explorer, gap tracker, timeline) - Weekly CI/CD automation via GitHub Actions Also includes: - 361 drafts (expanded from 260 with 6 new keywords), 403 authors, 1,262 ideas, 12 gaps - Blog series (8 posts planned), reports, arXiv paper figures - Agent team infrastructure (CLAUDE.md, scripts, dev journal) - 5 new DB tables, schema migration, ~15 new query methods Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
32 lines
665 B
TOML
32 lines
665 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 = "0.1.0"
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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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]
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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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