Files
autocad-mcp-pro/benchmarks/render_perf_chart.py
T
Umutcan EdizsalanandCursor bae0750d4c docs(bench): dark leaderboard styling for all benchmark charts
Leaderboard restyled to the LLM-benchmark look: dark background, rank-numbered labels, per-rank color palette, 'NN / 100 - grade' annotations. The live-run, task-matrix and performance charts share the same dark theme for a consistent README identity. Charts regenerated deterministically from their data files.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-07-23 16:14:04 +03:00

147 lines
4.8 KiB
Python

"""Render the headless performance suite as a deterministic SVG.
Input: the report produced by ``benchmarks.perf_suite --out ...``
(default: ``benchmarks/results/published/perf-ezdxf.json``).
Output: a GitHub-readable log-scale wall-time chart per workload.
"""
from __future__ import annotations
import argparse
import json
from pathlib import Path
from typing import Any
ROOT = Path(__file__).resolve().parents[1]
DEFAULT_INPUT = ROOT / "benchmarks" / "results" / "published" / "perf-ezdxf.json"
DEFAULT_OUTPUT = ROOT / "docs" / "assets" / "autocad-mcp-perf.svg"
_LABELS = {
"create_lines_2k": "Create 2,000 lines (individual calls)",
"roundtrip_10k": "10,000 lines: build + DXF export + reopen",
"region_query_10k": "Region query over 10,000 entities",
"premium_pass": "Premium pass: layers + part + dims + full critique",
}
def load_report(path: Path) -> dict[str, Any]:
data = json.loads(path.read_text(encoding="utf-8"))
if data.get("schema_version") != "perf/1.0":
raise ValueError("unsupported perf report schema_version")
if not data.get("workloads"):
raise ValueError("perf report contains no workloads")
return data
def _annotation(item: dict[str, Any]) -> str:
wall_s = item["wall_ms"] / 1000.0
if item["metric"] == "entities_per_second":
return f"{wall_s:.2f} s · {item['metric_value']:,.0f} entities/s"
if item["metric"] == "entities_matched":
return f"{wall_s:.2f} s · {item['metric_value']:,.0f} matched"
if item["metric"] == "critique_issues":
return f"{wall_s:.2f} s · {item['metric_value']:.0f} issues"
return f"{wall_s:.2f} s"
def render_chart(data: dict[str, Any], output: Path) -> None:
try:
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
except ImportError as exc:
raise SystemExit(
'Matplotlib is required. Install it with: pip install -e ".[pdf]"'
) from exc
matplotlib.rcParams["svg.hashsalt"] = "autocad-mcp-perf-v1"
workloads = sorted(data["workloads"], key=lambda item: item["wall_ms"])
labels = [_LABELS.get(item["workload_id"], item["workload_id"]) for item in workloads]
values = [item["wall_ms"] for item in workloads]
fig, ax = plt.subplots(figsize=(12, 4.6), constrained_layout=True)
fig.patch.set_facecolor("#0d1117")
ax.set_facecolor("#0d1117")
bars = ax.barh(labels, values, color="#58a6ff", height=0.58)
ax.set_xscale("log")
ax.set_xlabel("Wall time in ms (log scale) — lower is better", color="#e6edf3", labelpad=10)
ax.set_title(
"Headless performance — ezdxf engine",
loc="left",
fontsize=18,
fontweight="bold",
color="#e6edf3",
pad=28,
)
env = data.get("environment", {})
ax.text(
0,
1.02,
f"Fixed workloads via the same backend methods the MCP tools call · "
f"Python {env.get('python', '?')} · {env.get('platform', '?')}",
transform=ax.transAxes,
color="#8b949e",
fontsize=9,
)
for bar, item in zip(bars, workloads, strict=True):
ax.text(
bar.get_width() * 1.12,
bar.get_y() + bar.get_height() / 2,
_annotation(item),
va="center",
color="#e6edf3",
fontweight="bold",
fontsize=9,
)
ax.set_xlim(right=max(values) * 8)
ax.text(
0,
-0.24,
"Self-measurement only: competitor servers would pay extra stdio serialization cost in-process runs do not. "
"Reproduce: python -m benchmarks.perf_suite",
transform=ax.transAxes,
color="#8b949e",
fontsize=9,
)
ax.grid(axis="x", color="#30363d", linewidth=0.8, alpha=0.8)
ax.set_axisbelow(True)
ax.tick_params(axis="x", colors="#8b949e")
ax.tick_params(axis="y", colors="#e6edf3", length=0, pad=8)
for spine in ax.spines.values():
spine.set_visible(False)
output.parent.mkdir(parents=True, exist_ok=True)
fig.savefig(
output,
format="svg",
facecolor=fig.get_facecolor(),
metadata={"Creator": "AutoCAD MCP Pro perf renderer", "Date": None},
)
plt.close(fig)
svg = output.read_text(encoding="utf-8")
normalized = "\n".join(line.rstrip() for line in svg.splitlines()) + "\n"
output.write_text(normalized, encoding="utf-8", newline="\n")
def build_parser() -> argparse.ArgumentParser:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--input", type=Path, default=DEFAULT_INPUT)
parser.add_argument("--output", type=Path, default=DEFAULT_OUTPUT)
return parser
def main() -> int:
args = build_parser().parse_args()
render_chart(load_report(args.input), args.output)
print(f"Rendered perf chart: {args.output}")
return 0
if __name__ == "__main__":
raise SystemExit(main())