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ProfRandom92ProfRandom92
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Add deterministic multi-family admissibility SVG rendering
1 parent 600d154 commit 511f57c

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‎artifacts/multi_family_admissibility_curves.svg‎

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‎package.json‎

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"layout": "python scripts/check_repo_layout.py",
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"check": "npm run layout && npm run typecheck && npm run validate && npm run build && npm run test",
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"generate:layered-admissibility": "python scripts/generate_layered_admissibility_artifact.py",
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"generate:multi-family-admissibility": "python scripts/generate_multi_family_admissibility_artifact.py"
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"generate:multi-family-admissibility": "python scripts/generate_multi_family_admissibility_artifact.py",
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"generate:multi-family-svg": "python scripts/render_multi_family_admissibility_svg.py"
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}
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}

‎scripts/render_multi_family_admissibility_svg.py‎

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from __future__ import annotations
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import json
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from pathlib import Path
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INPUT_PATH = Path("artifacts/multi_family_admissibility_results.json")
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OUTPUT_PATH = Path("artifacts/multi_family_admissibility_curves.svg")
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WIDTH = 1000
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HEIGHT = 560
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MARGIN_LEFT = 90
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MARGIN_RIGHT = 40
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MARGIN_TOP = 70
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MARGIN_BOTTOM = 120
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TITLE = "Multi-Family Admissibility Degradation Curves"
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X_LABEL = "degradation level"
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Y_LABEL = "overall_admissibility_score"
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LEVELS: tuple[str, ...] = ("baseline", "mild", "moderate", "severe")
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PALETTE: tuple[str, ...] = (
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"#0055aa",
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"#aa5500",
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"#117733",
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"#882255",
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"#44aa99",
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"#cc6677",
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)
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def _fmt(value: float) -> str:
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return f"{value:.3f}"
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def _level_from_fixture_id(fixture_id: str) -> str:
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if "_mild_" in fixture_id:
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return "mild"
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if "_moderate_" in fixture_id:
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return "moderate"
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if "_degraded_" in fixture_id:
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return "severe"
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return "baseline"
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def render_svg(payload: dict) -> str:
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families = sorted(payload["families"], key=lambda family: family["family"])
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plot_width = WIDTH - MARGIN_LEFT - MARGIN_RIGHT
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plot_height = HEIGHT - MARGIN_TOP - MARGIN_BOTTOM
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plot_right = WIDTH - MARGIN_RIGHT
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plot_bottom = HEIGHT - MARGIN_BOTTOM
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x_by_level = {
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level: MARGIN_LEFT + (plot_width * idx / (len(LEVELS) - 1))
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for idx, level in enumerate(LEVELS)
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}
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elements: list[str] = [
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f'<svg xmlns="http://www.w3.org/2000/svg" width="{WIDTH}" height="{HEIGHT}" viewBox="0 0 {WIDTH} {HEIGHT}">',
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f' <rect x="0" y="0" width="{WIDTH}" height="{HEIGHT}" fill="#ffffff"/>',
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f' <text x="{WIDTH/2:.1f}" y="36" text-anchor="middle" font-size="22" font-family="monospace" fill="#111111">{TITLE}</text>',
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f' <line x1="{MARGIN_LEFT}" y1="{plot_bottom}" x2="{plot_right}" y2="{plot_bottom}" stroke="#222222" stroke-width="1"/>',
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f' <line x1="{MARGIN_LEFT}" y1="{MARGIN_TOP}" x2="{MARGIN_LEFT}" y2="{plot_bottom}" stroke="#222222" stroke-width="1"/>',
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]
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for tick_score in (0.0, 0.5, 1.0):
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y = MARGIN_TOP + ((1.0 - tick_score) * plot_height)
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elements.append(
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f' <line x1="{MARGIN_LEFT}" y1="{_fmt(y)}" x2="{plot_right}" y2="{_fmt(y)}" stroke="#e0e0e0" stroke-width="1"/>'
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)
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elements.append(
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f' <text x="{MARGIN_LEFT-12}" y="{_fmt(y+4)}" text-anchor="end" font-size="12" font-family="monospace" fill="#333333">{_fmt(tick_score)}</text>'
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)
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for level in LEVELS:
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x = x_by_level[level]
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elements.append(
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f' <text x="{_fmt(x)}" y="{plot_bottom+24}" text-anchor="middle" font-size="12" font-family="monospace" fill="#222222">{level}</text>'
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)
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elements.append(
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f' <text x="{WIDTH/2:.1f}" y="{HEIGHT-20}" text-anchor="middle" font-size="13" font-family="monospace" fill="#111111">{X_LABEL}</text>'
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)
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elements.append(
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f' <text x="20" y="{HEIGHT/2:.1f}" transform="rotate(-90 20 {HEIGHT/2:.1f})" text-anchor="middle" font-size="13" font-family="monospace" fill="#111111">{Y_LABEL}</text>'
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)
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legend_x = 690
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legend_y = 84
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legend_height = 30 + 18 * len(families)
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elements.append(f' <rect x="{legend_x}" y="{legend_y}" width="270" height="{legend_height}" fill="#f8f8f8" stroke="#cccccc"/>')
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elements.append(f' <text x="{legend_x+12}" y="{legend_y+20}" font-size="12" font-family="monospace" fill="#111111">Families</text>')
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for idx, family in enumerate(families):
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family_name = family["family"]
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color = PALETTE[idx % len(PALETTE)]
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points_by_level = {
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_level_from_fixture_id(point["fixture_id"]): point
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for point in family["curve"]["points"]
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}
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polyline = " ".join(
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f"{_fmt(x_by_level[level])},{_fmt(MARGIN_TOP + ((1.0 - float(points_by_level[level]['overall_admissibility_score'])) * plot_height))}"
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for level in LEVELS
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)
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elements.append(f' <polyline points="{polyline}" fill="none" stroke="{color}" stroke-width="3"/>')
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for level in LEVELS:
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score = float(points_by_level[level]["overall_admissibility_score"])
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x = x_by_level[level]
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y = MARGIN_TOP + ((1.0 - score) * plot_height)
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elements.append(f' <circle cx="{_fmt(x)}" cy="{_fmt(y)}" r="4" fill="{color}"/>')
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ly = legend_y + 38 + idx * 18
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elements.append(f' <line x1="{legend_x+12}" y1="{ly-4}" x2="{legend_x+36}" y2="{ly-4}" stroke="{color}" stroke-width="3"/>')
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elements.append(f' <text x="{legend_x+44}" y="{ly}" font-size="11" font-family="monospace" fill="#222222">{family_name}</text>')
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elements.append("</svg>")
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return "\n".join(elements) + "\n"
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if __name__ == "__main__":
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payload = json.loads(INPUT_PATH.read_text(encoding="utf-8"))
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svg = render_svg(payload)
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OUTPUT_PATH.parent.mkdir(parents=True, exist_ok=True)
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OUTPUT_PATH.write_text(svg, encoding="utf-8")

‎tests/test_multi_family_svg_renderer.py‎

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from __future__ import annotations
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import json
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from pathlib import Path
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from scripts.render_multi_family_admissibility_svg import render_svg
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INPUT_PATH = Path("artifacts/multi_family_admissibility_results.json")
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SVG_PATH = Path("artifacts/multi_family_admissibility_curves.svg")
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def _render() -> str:
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payload = json.loads(INPUT_PATH.read_text(encoding="utf-8"))
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return render_svg(payload)
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def test_multi_family_svg_render_is_deterministic() -> None:
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assert _render() == _render()
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def test_rendered_svg_matches_committed_artifact() -> None:
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assert _render() == SVG_PATH.read_text(encoding="utf-8")
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def test_svg_contains_current_families() -> None:
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output = _render()
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assert "coding_workflow_pr_review" in output
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assert "incident_response_page_triage" in output
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def test_svg_contains_degradation_levels() -> None:
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output = _render()
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for level in ("baseline", "mild", "moderate", "severe"):
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assert f">{level}<" in output
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def test_svg_has_no_nondeterministic_fields() -> None:
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output = _render().lower()
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banned_tokens = ("timestamp", "date", "time", "random", "uuid", "id=")
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for token in banned_tokens:
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assert token not in output

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