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docs: CI, architecture guide, worked examples, README fixes
- Add GitHub Actions CI workflow (Python 3.10 and 3.12) - Add CI badge to README - Add ARCHITECTURE.md: pipeline overview, module table, schema, how to add a language extractor, security summary - Move eval reports from tests/ to worked/httpx/ and worked/mixed-corpus/ - Fix README: test count 163→212, language table (13 languages via tree-sitter), extract.py description, worked examples links benchmark: 8.8x token reduction on nanoGPT + minGPT + micrograd - Run AST extraction on 29 Python files across 3 Karpathy repos - 177 nodes, 246 edges, 17 communities (Leiden) - 8.8x avg token reduction vs naive full-corpus context stuffing - Notable: micrograd cleanly splits into engine/nn communities; nanoGPT model vs training loop correctly separated - Honest: stdlib import noise flagged, config isolates documented benchmark: 71.5x token reduction on mixed corpus (code+papers+images) Full run: nanoGPT+minGPT+micrograd + 5 research papers + 4 images 285 nodes, 340 edges, 53 communities Average BFS query: 1,726 tokens vs 123,488 naive (71.5x) Code-only (AST) sub-benchmark: 8.8x on 13k-word corpus
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name: CI
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on:
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push:
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branches: ["v1", "main"]
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pull_request:
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branches: ["v1", "main"]
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jobs:
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test:
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runs-on: ubuntu-latest
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strategy:
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matrix:
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python-version: ["3.10", "3.12"]
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steps:
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- uses: actions/checkout@v4
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v5
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with:
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python-version: ${{ matrix.python-version }}
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- name: Install dependencies
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run: |
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pip install -e ".[mcp,pdf,watch]"
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- name: Run tests
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run: |
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pytest tests/ -q --tb=short
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