Christian Nennemann
757b781c67
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>
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 = "0.1.0"
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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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"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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