The evidence for track F, in the shape tracks A, E and B + G used. - benchmarks/tasks_v6.py: 19 tasks, DEFAULT_MATRIX = "v6"; v5 to v2 stay addressable. arch_roundtrip draws the example plan with arch_plan_from_spec and reads it back without the spec: rooms_detect must find each labelled room within 0.1 % of its label and of the net floor computed by hand (4825 x 5750 and 3825 x 5750), the schedules must list D1, D2, W1, W2, and the plan is gated on a zero-issue critique and a finalize score of at least 90. A test removes one room label and the gate fails naming arch_room_unlabelled. - Four correctness checks, every number worked out by hand in the docstring: L / T / X junction corners and wall areas, a 4 x 5 m room labelled 20.00 m2 rather than its 21.84 m2 axis area, a door interrupting both faces, and a plan of plain lines read as 20 and 15 m2 at confidence 0.6. The published A/B report is re-run over 43 checks: 26 / 43 -> 43 / 43, zero regressed. - scripts/smoke_arch_com.py runs the whole plan once on a live seat and closes every document it opens; the CHANGELOG records what it returned. - The token suite measures a TOOL_PACKS=core,arch row; check_doc_numbers derives the task count from the v6 matrix; CLAUDE.md, both READMEs and the spec status line say what shipped. - fix(com): the first live smoke exited 1 - the room reader found 0 wall segments. Measured on AutoCAD 2026 (2026-09-23): with a makepy cache, ModelSpace.Item(i) returns the gen_py IAcadEntity wrapper (type(item).__name__ == "IAcadEntity") and item.StartPoint on an AcDbLine raises AttributeError, so every entity_list row lost its type-specific properties (28 wall LINEs, 0 with start/end). _entity_info now re-dispatches exactly that wrapper through _com_unnarrow; after the fix 38 of 53 rows carry start/end and the smoke exits 0 with both rooms at 27 743 750 / 21 993 750 mm2 and 0 critique issues. Re-dispatch measured at ~1.7 ms per entity (dynamic vs gencache alike). Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01FKFStjEFzpGyLq5bMpWxTd
181 lines
5.9 KiB
Python
181 lines
5.9 KiB
Python
"""Render the live-run task matrix (tasks x servers) as a deterministic SVG.
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Input: the published per-server reports under ``benchmarks/results/published/``
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(the same files the score chart uses). Output: a status heatmap — every task
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against every server — so coverage gaps are visible per capability instead of
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being folded into one number.
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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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from benchmarks.tasks_v6 import TASKS_V6
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ROOT = Path(__file__).resolve().parents[1]
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DEFAULT_INPUT_DIR = ROOT / "benchmarks" / "results" / "published"
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DEFAULT_OUTPUT = ROOT / "docs" / "assets" / "autocad-mcp-taskmatrix.svg"
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STATUS_COLORS = {
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"pass": "#238636",
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"partial": "#d29922",
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"fail": "#da3633",
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"timeout": "#a40e26",
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"unsupported": "#30363d",
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"not_run": "#161b22",
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}
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STATUS_GLYPHS = {
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"pass": "P",
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"partial": "~",
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"fail": "F",
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"timeout": "T",
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"unsupported": "-",
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"not_run": "?",
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}
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def load_reports(input_dir: Path) -> list[dict[str, Any]]:
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reports: list[dict[str, Any]] = []
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for path in sorted(input_dir.glob("*.json")):
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data = json.loads(path.read_text(encoding="utf-8"))
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if data.get("schema_version") != "2.0":
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continue # perf reports and other lanes live in the same folder
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reports.append(data)
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if not reports:
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raise SystemExit(f"no task-matrix reports found in {input_dir}")
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# our server first, then alphabetical
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reports.sort(key=lambda item: (item["adapter"] != "autocad-mcp-pro", item["adapter"]))
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return reports
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def render_chart(reports: list[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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from matplotlib.patches import Patch, Rectangle
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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-taskmatrix-v1"
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task_ids = [task.task_id for task in TASKS_V6]
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task_labels = [f"{task.task_id} ({task.category})" for task in TASKS_V6]
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servers = [report["adapter"] for report in reports]
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status_by_server = {
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report["adapter"]: {item["task_id"]: item["status"] for item in report["results"]}
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for report in reports
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}
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fig, ax = plt.subplots(
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figsize=(3.4 + 2.4 * len(servers), 1.8 + 0.52 * len(task_ids)),
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constrained_layout=True,
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)
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fig.patch.set_facecolor("#0d1117")
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ax.set_facecolor("#0d1117")
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for row, task_id in enumerate(task_ids):
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for col, server in enumerate(servers):
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status = status_by_server[server].get(task_id, "not_run")
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color = STATUS_COLORS.get(status, "#f6f8fa")
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ax.add_patch(
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Rectangle(
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(col + 0.06, row + 0.08),
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0.88,
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0.84,
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facecolor=color,
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edgecolor="#30363d",
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linewidth=0.8,
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)
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)
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glyph_color = "#ffffff" if status in ("pass", "fail", "timeout") else "#e6edf3"
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ax.text(
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col + 0.5,
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row + 0.5,
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STATUS_GLYPHS.get(status, "?"),
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ha="center",
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va="center",
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fontsize=11,
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fontweight="bold",
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color=glyph_color,
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)
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ax.set_xlim(0, len(servers))
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ax.set_ylim(len(task_ids), 0)
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ax.set_xticks([index + 0.5 for index in range(len(servers))])
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ax.set_xticklabels(servers, color="#e6edf3", fontsize=10, fontweight="bold")
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ax.xaxis.set_ticks_position("top")
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ax.set_yticks([index + 0.5 for index in range(len(task_ids))])
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ax.set_yticklabels(task_labels, color="#e6edf3", fontsize=9)
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ax.tick_params(length=0)
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for spine in ax.spines.values():
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spine.set_visible(False)
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ax.set_title(
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"Task matrix — live headless lane",
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loc="left",
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fontsize=17,
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fontweight="bold",
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color="#e6edf3",
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pad=34,
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)
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legend_handles = [
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Patch(facecolor=STATUS_COLORS["pass"], label="pass"),
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Patch(facecolor=STATUS_COLORS["partial"], label="partial"),
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Patch(facecolor=STATUS_COLORS["fail"], label="fail"),
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Patch(facecolor=STATUS_COLORS["unsupported"], label="unsupported (no equivalent)"),
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# Real rows now, not a theoretical state: the competitor reports were
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# pinned and run against the v2 matrix, so the five v3 tasks were
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# never put to them. An invented zero would look identical to a
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# measured one, so they stay blank and say why.
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Patch(facecolor=STATUS_COLORS["not_run"], edgecolor="#30363d", label="not run"),
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]
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ax.legend(
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handles=legend_handles,
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loc="upper left",
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bbox_to_anchor=(0, -0.02),
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ncol=5,
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frameon=False,
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fontsize=9,
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labelcolor="#e6edf3",
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)
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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 task-matrix 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-dir", type=Path, default=DEFAULT_INPUT_DIR)
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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_reports(args.input_dir), args.output)
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print(f"Rendered task-matrix 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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