- benchmarks/perf_suite.py: fixed headless workloads (2k creates, 10k build/export/reopen, 10k region query, premium quality pass) timed through the same backend methods the tools call; machine fingerprint recorded; self-measurement only - benchmarks/render_perf_chart.py -> docs/assets/autocad-mcp-perf.svg (log-scale wall time) - benchmarks/render_matrix_chart.py -> docs/assets/autocad-mcp-taskmatrix.svg (tasks x servers status heatmap from published reports) - render_live_chart now tolerates other lanes sharing results/published/ - README: PyPI-first install, four-lane benchmark section with Python-generated visuals, v1.4 feature table, updated client/config/roadmap - published perf report: benchmarks/results/published/perf-ezdxf.json Co-authored-by: Cursor <cursoragent@cursor.com>
147 lines
4.8 KiB
Python
147 lines
4.8 KiB
Python
"""Render the headless performance suite as a deterministic SVG.
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Input: the report produced by ``benchmarks.perf_suite --out ...``
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(default: ``benchmarks/results/published/perf-ezdxf.json``).
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Output: a GitHub-readable log-scale wall-time chart per workload.
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"""
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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" / "results" / "published" / "perf-ezdxf.json"
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DEFAULT_OUTPUT = ROOT / "docs" / "assets" / "autocad-mcp-perf.svg"
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_LABELS = {
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"create_lines_2k": "Create 2,000 lines (individual calls)",
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"roundtrip_10k": "10,000 lines: build + DXF export + reopen",
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"region_query_10k": "Region query over 10,000 entities",
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"premium_pass": "Premium pass: layers + part + dims + full critique",
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}
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def load_report(path: Path) -> dict[str, Any]:
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data = json.loads(path.read_text(encoding="utf-8"))
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if data.get("schema_version") != "perf/1.0":
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raise ValueError("unsupported perf report schema_version")
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if not data.get("workloads"):
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raise ValueError("perf report contains no workloads")
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return data
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def _annotation(item: dict[str, Any]) -> str:
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wall_s = item["wall_ms"] / 1000.0
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if item["metric"] == "entities_per_second":
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return f"{wall_s:.2f} s · {item['metric_value']:,.0f} entities/s"
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if item["metric"] == "entities_matched":
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return f"{wall_s:.2f} s · {item['metric_value']:,.0f} matched"
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if item["metric"] == "critique_issues":
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return f"{wall_s:.2f} s · {item['metric_value']:.0f} issues"
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return f"{wall_s:.2f} s"
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def render_chart(data: dict[str, Any], output: Path) -> None:
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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-perf-v1"
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workloads = sorted(data["workloads"], key=lambda item: item["wall_ms"])
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labels = [_LABELS.get(item["workload_id"], item["workload_id"]) for item in workloads]
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values = [item["wall_ms"] for item in workloads]
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fig, ax = plt.subplots(figsize=(12, 4.6), 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, values, color="#0969da", height=0.58)
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ax.set_xscale("log")
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ax.set_xlabel("Wall time in ms (log scale) — lower is better", color="#24292f", labelpad=10)
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ax.set_title(
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"Headless performance — ezdxf engine",
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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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env = data.get("environment", {})
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ax.text(
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0,
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1.02,
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f"Fixed workloads via the same backend methods the MCP tools call · "
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f"Python {env.get('python', '?')} · {env.get('platform', '?')}",
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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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for bar, item in zip(bars, workloads, strict=True):
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ax.text(
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bar.get_width() * 1.12,
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bar.get_y() + bar.get_height() / 2,
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_annotation(item),
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va="center",
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color="#24292f",
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fontweight="bold",
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fontsize=9,
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)
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ax.set_xlim(right=max(values) * 8)
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ax.text(
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0,
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-0.24,
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"Self-measurement only: competitor servers would pay extra stdio serialization cost in-process runs do not. "
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"Reproduce: python -m benchmarks.perf_suite",
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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 perf 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_report(args.input), args.output)
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print(f"Rendered perf 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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