feat: add reproducible benchmark visualization
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"""Render the source-reviewed AutoCAD MCP benchmark as a deterministic SVG."""
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from __future__ import annotations
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import argparse
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import json
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from pathlib import Path
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from typing import Any
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ROOT = Path(__file__).resolve().parents[1]
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DEFAULT_INPUT = ROOT / "benchmarks" / "source_review.json"
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DEFAULT_OUTPUT = ROOT / "docs" / "assets" / "autocad-mcp-benchmark.svg"
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REQUIRED_PROJECT_KEYS = {
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"repository",
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"url",
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"reviewed_version",
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"score",
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"evidence_grade",
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"note",
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}
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def load_benchmark(path: Path) -> dict[str, Any]:
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"""Load and validate the benchmark snapshot used by docs and tests."""
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data = json.loads(path.read_text(encoding="utf-8"))
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if data.get("schema_version") != "1.0":
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raise ValueError("unsupported benchmark schema_version")
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if data.get("evidence_boundary") != "source_review_not_shared_live_run":
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raise ValueError("benchmark evidence boundary must be explicit")
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rubric = data.get("rubric")
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if not isinstance(rubric, list) or sum(item.get("weight", 0) for item in rubric) != 100:
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raise ValueError("benchmark rubric weights must total 100")
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projects = data.get("projects")
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if not isinstance(projects, list) or not projects:
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raise ValueError("benchmark must contain projects")
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seen: set[str] = set()
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for project in projects:
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missing = REQUIRED_PROJECT_KEYS - project.keys()
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if missing:
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raise ValueError(f"project is missing keys: {sorted(missing)}")
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repository = project["repository"]
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if repository in seen:
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raise ValueError(f"duplicate repository: {repository}")
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seen.add(repository)
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if not 0 <= project["score"] <= 100:
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raise ValueError(f"score outside 0..100: {repository}")
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if project["evidence_grade"] not in {"A", "B", "C"}:
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raise ValueError(f"invalid evidence grade: {repository}")
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return data
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def render_chart(data: dict[str, Any], output: Path) -> None:
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"""Render a GitHub-readable fixed-background horizontal bar chart."""
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try:
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import matplotlib
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matplotlib.use("Agg")
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import matplotlib.pyplot as plt
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except ImportError as exc:
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raise SystemExit(
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'Matplotlib is required. Install it with: pip install -e ".[pdf]"'
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) from exc
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matplotlib.rcParams["svg.hashsalt"] = "autocad-mcp-source-review-v1"
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projects = sorted(data["projects"], key=lambda item: item["score"])
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labels = [item["repository"] for item in projects]
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scores = [item["score"] for item in projects]
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grades = [item["evidence_grade"] for item in projects]
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colors = [
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"#0969da" if label == "U-C4N/Autocad-MCP" else "#6e7781" for label in labels
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]
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fig, ax = plt.subplots(figsize=(12, 6.4), constrained_layout=True)
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fig.patch.set_facecolor("#f6f8fa")
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ax.set_facecolor("#f6f8fa")
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bars = ax.barh(labels, scores, color=colors, height=0.62)
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ax.set_xlim(0, 100)
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ax.set_xlabel("Weighted capability score / 100", color="#24292f", labelpad=10)
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ax.set_title(
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"Source-reviewed capability benchmark",
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loc="left",
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fontsize=18,
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fontweight="bold",
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color="#24292f",
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pad=28,
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)
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ax.text(
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0,
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1.02,
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f"Fixed rubric · reviewed {data['reviewed_at']} · evidence grade shown per project",
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transform=ax.transAxes,
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color="#57606a",
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fontsize=10,
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)
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for bar, score, grade in zip(bars, scores, grades, strict=True):
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ax.text(
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min(score + 1.2, 96),
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bar.get_y() + bar.get_height() / 2,
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f"{score} · {grade}",
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va="center",
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color="#24292f",
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fontweight="bold",
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)
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ax.text(
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0,
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-0.17,
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"Shared live-run results are not implied. Scores reflect public-source and recorded test evidence.",
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transform=ax.transAxes,
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color="#57606a",
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fontsize=9,
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)
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ax.grid(axis="x", color="#d0d7de", linewidth=0.8, alpha=0.8)
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ax.set_axisbelow(True)
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ax.tick_params(axis="x", colors="#57606a")
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ax.tick_params(axis="y", colors="#24292f", length=0, pad=8)
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for spine in ax.spines.values():
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spine.set_visible(False)
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output.parent.mkdir(parents=True, exist_ok=True)
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fig.savefig(
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output,
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format="svg",
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facecolor=fig.get_facecolor(),
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metadata={"Creator": "AutoCAD MCP Pro benchmark renderer", "Date": None},
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)
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plt.close(fig)
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svg = output.read_text(encoding="utf-8")
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normalized = "\n".join(line.rstrip() for line in svg.splitlines()) + "\n"
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output.write_text(normalized, encoding="utf-8", newline="\n")
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def build_parser() -> argparse.ArgumentParser:
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parser = argparse.ArgumentParser(description=__doc__)
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parser.add_argument("--input", type=Path, default=DEFAULT_INPUT)
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parser.add_argument("--output", type=Path, default=DEFAULT_OUTPUT)
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return parser
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def main() -> int:
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args = build_parser().parse_args()
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render_chart(load_benchmark(args.input), args.output)
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print(f"Rendered benchmark chart: {args.output}")
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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@@ -0,0 +1,65 @@
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{
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"schema_version": "1.0",
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"reviewed_at": "2026-07-17",
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"title": "AutoCAD MCP source-reviewed capability benchmark",
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"evidence_boundary": "source_review_not_shared_live_run",
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"methodology": "Public source, documented behavior, and locally recorded test evidence scored with a fixed 100-point rubric. Repository stars and raw tool counts do not score points.",
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"rubric": [
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{"category": "Functional CAD coverage", "weight": 25},
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{"category": "Correctness and delivery", "weight": 20},
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{"category": "Backends and platforms", "weight": 15},
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{"category": "Engineering production", "weight": 15},
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{"category": "Tests and maintenance", "weight": 15},
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{"category": "Security and operations", "weight": 10}
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],
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"projects": [
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{
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"repository": "U-C4N/Autocad-MCP",
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"url": "https://github.com/U-C4N/Autocad-MCP",
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"reviewed_version": "1.3.0 working tree",
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"score": 93,
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"evidence_grade": "A",
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"note": "Dual COM/ezdxf backends, standards-aware quality gates, deterministic geometry, closed-loop refinement, and auditable delivery."
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},
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{
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"repository": "varavista/autocad-mcp",
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"url": "https://github.com/varavista/autocad-mcp",
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"reviewed_version": "2026-07-16 snapshot",
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"score": 84,
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"evidence_grade": "A",
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"note": "Broad backend and CAD coverage with layout and xref depth."
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},
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{
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"repository": "beiming183-cloud/AutoCAD-MCP",
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"url": "https://github.com/beiming183-cloud/AutoCAD-MCP",
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"reviewed_version": "2026-07-16 snapshot",
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"score": 83,
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"evidence_grade": "A",
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"note": "Atomic operations, postconditions, 3D tools, and verified artifact delivery."
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},
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{
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"repository": "AnCode666/multiCAD-mcp",
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"url": "https://github.com/AnCode666/multiCAD-mcp",
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"reviewed_version": "2026-07-16 snapshot",
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"score": 73,
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"evidence_grade": "A",
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"note": "TABLE/MLEADER, data exchange, multi-document workflows, and alternative CAD support."
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},
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{
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"repository": "puran-water/autocad-mcp",
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"url": "https://github.com/puran-water/autocad-mcp",
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"reviewed_version": "2026-07-16 snapshot",
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"score": 70,
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"evidence_grade": "A",
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"note": "AutoCAD LT file IPC, ezdxf, P&ID workflows, leaders, and screenshots."
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},
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{
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"repository": "NCO-1986/AutoCAD_mcp",
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"url": "https://github.com/NCO-1986/AutoCAD_mcp",
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"reviewed_version": "2026-07-16 snapshot",
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"score": 68,
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"evidence_grade": "B",
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"note": ".NET main-thread integration with a broad live AutoCAD operation surface."
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}
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]
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}
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File diff suppressed because it is too large
Load Diff
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After Width: | Height: | Size: 70 KiB |
@@ -1,10 +1,10 @@
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import json
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import json
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from collections.abc import Callable
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from pathlib import Path
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from pathlib import Path
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from typing import Any, Callable
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from typing import Any
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import pytest
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import pytest
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ROOT = Path(__file__).resolve().parents[1]
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ROOT = Path(__file__).resolve().parents[1]
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DATA_PATH = ROOT / "benchmarks" / "source_review.json"
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DATA_PATH = ROOT / "benchmarks" / "source_review.json"
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@@ -64,3 +64,4 @@ def test_render_chart_writes_readable_svg(tmp_path: Path) -> None:
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assert "Source-reviewed capability benchmark" in svg
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assert "Source-reviewed capability benchmark" in svg
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assert "U-C4N/Autocad-MCP" in svg
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assert "U-C4N/Autocad-MCP" in svg
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assert "Shared live-run results are not implied" in svg
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assert "Shared live-run results are not implied" in svg
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assert all(line == line.rstrip() for line in svg.splitlines())
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