From 21cbc62df55b6c22dd8fd7e27be066746e0e39a5 Mon Sep 17 00:00:00 2001 From: Umutcan Edizsalan Date: Thu, 23 Jul 2026 15:53:04 +0300 Subject: [PATCH] feat(bench): performance lane + task-matrix chart; docs: README rebuilt around four evidence lanes - 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 --- CHANGELOG.md | 19 + README.md | 393 ++- benchmarks/README.md | 22 +- benchmarks/perf_suite.py | 210 ++ benchmarks/render_live_chart.py | 2 +- benchmarks/render_matrix_chart.py | 174 ++ benchmarks/render_perf_chart.py | 146 + benchmarks/results/published/perf-ezdxf.json | 56 + docs/assets/autocad-mcp-perf.svg | 2693 ++++++++++++++++++ docs/assets/autocad-mcp-taskmatrix.svg | 2180 ++++++++++++++ uv.lock | 2383 ++++++++++++++++ 11 files changed, 8047 insertions(+), 231 deletions(-) create mode 100644 benchmarks/perf_suite.py create mode 100644 benchmarks/render_matrix_chart.py create mode 100644 benchmarks/render_perf_chart.py create mode 100644 benchmarks/results/published/perf-ezdxf.json create mode 100644 docs/assets/autocad-mcp-perf.svg create mode 100644 docs/assets/autocad-mcp-taskmatrix.svg create mode 100644 uv.lock diff --git a/CHANGELOG.md b/CHANGELOG.md index 5849cab..f658dc6 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -7,6 +7,25 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ## [Unreleased] +### Added + +- **Headless performance lane** (`benchmarks/perf_suite.py` + + `render_perf_chart.py`): fixed wall-time workloads (2k individual creates, + 10k build/export/reopen roundtrip, 10k region query, full premium quality + pass) measured through the same backend methods the MCP tools call; + machine fingerprint recorded, self-measurement only. +- **Task-matrix chart** (`benchmarks/render_matrix_chart.py`): tasks × servers + status heatmap rendered from the published live-run reports, so coverage + gaps are visible per capability instead of one folded score. + +### Changed + +- README rebuilt: PyPI-first install, a four-lane benchmark section with + Python-generated visuals (scores, task matrix, performance, source review), + v1.4 feature table, updated client/config/roadmap sections. +- `render_live_chart` now skips non-task-matrix reports so multiple lanes can + share `benchmarks/results/published/`. + _Next (1.5): screenshot overlay + handle grounding v1, ezdxf redo (forward snapshots), COM `block_create_from_entities`, ISO 286 transition/interference hole letters (delta rule), titleblock on paper-space layouts._ diff --git a/README.md b/README.md index 226f402..8355a08 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,7 @@ # AutoCAD MCP Pro -Production-grade AutoCAD automation for AI agents—live through COM on Windows, -or headless through ezdxf on any platform. +Production-grade AutoCAD automation for AI agents — live through COM on +Windows, or headless through ezdxf on any platform. [![CI](https://github.com/U-C4N/Autocad-MCP/actions/workflows/ci.yml/badge.svg)](https://github.com/U-C4N/Autocad-MCP/actions/workflows/ci.yml) [![PyPI](https://img.shields.io/pypi/v/autocad-mcp-pro?color=1f6feb)](https://pypi.org/project/autocad-mcp-pro/) @@ -11,84 +11,38 @@ or headless through ezdxf on any platform. [![Stars](https://img.shields.io/github/stars/U-C4N/Autocad-MCP?style=flat&color=e3b341)](https://github.com/U-C4N/Autocad-MCP/stargazers) One typed MCP contract controls two execution engines. Build and edit drawings, -query exact geometry, apply engineering standards, refine quality issues inside -transactions, and deliver hashed artifacts with validation evidence. +query exact geometry, apply engineering standards (ISO 128/129/286/1101), +refine quality issues inside transactions, and deliver hashed artifacts with +validation evidence. > **v1.4 release snapshot:** 131 tools · 6 resources · 5 prompt templates · > 474 collected tests. Runtime discovery through `system_about` is authoritative. -## Start in 60 seconds +## Install in 10 seconds ```bash -git clone https://github.com/U-C4N/Autocad-MCP.git -cd Autocad-MCP -python -m venv .venv +pip install autocad-mcp-pro # or: uvx autocad-mcp-pro +autocad-mcp # stdio MCP server, backend auto-selected ``` -Activate the environment and start the stdio server: - -```powershell -# Windows -.venv\Scripts\Activate.ps1 -pip install -e . -python server.py -``` +Headless (no AutoCAD required, any OS) or live AutoCAD on Windows: ```bash -# macOS / Linux -source .venv/bin/activate -pip install -e . -python server.py +AUTOCAD_MCP_BACKEND=ezdxf autocad-mcp # portable DXF engine +AUTOCAD_MCP_BACKEND=com autocad-mcp # live AutoCAD (pip install "autocad-mcp-pro[com]") ``` -That starts the headless-capable server with automatic backend selection. For -live AutoCAD control on Windows: +Extras: `[com]` live AutoCAD (pywin32 + Pillow), `[pdf]` PDF/screenshot +rendering (matplotlib), `[full]` everything. Working from a checkout is the +same commands with `pip install -e ".[full]"` and `python server.py`. -```powershell -pip install -e ".[com]" -$env:AUTOCAD_MCP_BACKEND = "com" -python server.py -``` +## Benchmarks — three lanes, all reproducible -No AutoCAD installation is needed for the ezdxf backend: +Every number below is generated by a script in [`benchmarks/`](benchmarks/) +and rendered to SVG with Python (matplotlib). No hand-edited charts, no +adjectives. -```powershell -$env:AUTOCAD_MCP_BACKEND = "ezdxf" -python server.py -``` - -## Evidence, not adjectives - -![Source-reviewed AutoCAD MCP capability benchmark](docs/assets/autocad-mcp-benchmark.svg) - -The graphic is generated with Matplotlib from -[`benchmarks/source_review.json`](benchmarks/source_review.json). A fixed, -public 100-point rubric covers functional CAD breadth, correctness and delivery, -backend reach, engineering production, tests, and security. - -| Project | Score | Evidence | -|---|---:|:---:| -| **[U-C4N/Autocad-MCP](https://github.com/U-C4N/Autocad-MCP)** | **93** | A | -| [varavista/autocad-mcp](https://github.com/varavista/autocad-mcp) | 84 | A | -| [beiming183-cloud/AutoCAD-MCP](https://github.com/beiming183-cloud/AutoCAD-MCP) | 83 | A | -| [AnCode666/multiCAD-mcp](https://github.com/AnCode666/multiCAD-mcp) | 73 | A | -| [puran-water/autocad-mcp](https://github.com/puran-water/autocad-mcp) | 70 | A | -| [NCO-1986/AutoCAD_mcp](https://github.com/NCO-1986/AutoCAD_mcp) | 68 | B | - -This is a dated source review—not a claim that every project completed a shared -live AutoCAD run. Evidence grade **A** means source plus executable local -evidence was reviewed; **B** means source and tool surface were reviewed but the -live AutoCAD path was not fully executed. - -Reproduce the chart and run the ten-task reference adapter: - -```bash -pip install -e ".[pdf]" -python -m benchmarks.render_chart -python -m benchmarks.run_competitors --server autocad-mcp-pro --backend ezdxf --json -``` - -### Live-run lane — same harness, pinned competitors +### 1 · Live-run scores — same harness, pinned competitors ![Live benchmark](docs/assets/autocad-mcp-livebench.svg) @@ -98,13 +52,13 @@ python -m benchmarks.run_competitors --server autocad-mcp-pro --backend ezdxf -- | [beiming183-cloud/AutoCAD-MCP](https://github.com/beiming183-cloud/AutoCAD-MCP) | `11f7c47` | 50.0 | 5/10 | 50% | | [puran-water/autocad-mcp](https://github.com/puran-water/autocad-mcp) | `95476a3` | 45.0 | 4/10 | 50% | -Same ten fixed tasks, same runner, headless ezdxf lane. Competitors are driven +Ten fixed tasks, one runner, headless ezdxf lane. Competitors are driven **black-box over MCP stdio** using their own documented tool contracts at the pinned commit, and every geometry claim is verified by re-opening the exported -DXF with ezdxf in the harness — no competitor self-reporting. `unsupported` -scores zero in the fixed matrix; per-task statuses with exact reasons are -committed under [`benchmarks/results/published/`](benchmarks/results/published/). -File-IPC (live AutoCAD) lanes run locally, not in CI. +DXF with ezdxf inside the harness — no self-reporting. `unsupported` scores +zero in the fixed matrix; per-task reasons are committed under +[`benchmarks/results/published/`](benchmarks/results/published/). File-IPC +(live AutoCAD) lanes run locally, not in CI. ```bash python -m benchmarks.run_competitors --server puran-water-autocad-mcp --backend ezdxf @@ -112,39 +66,97 @@ python -m benchmarks.run_competitors --server beiming183-autocad-mcp --backend e python -m benchmarks.render_live_chart ``` -The complete rubric, caveats, version A/B suite, and reproduction commands live -in [`benchmarks/`](benchmarks/README.md). +### 2 · Task matrix — where the score comes from -## Why this architecture holds up +![Task matrix](docs/assets/autocad-mcp-taskmatrix.svg) -### One contract, two engines +The single score hides *which* capabilities exist, so the matrix shows every +task against every server: green = verified pass, amber = partial, gray = the +server documents no equivalent (planning, refinement, TABLE/MLEADER, hashed +delivery), red = attempted but failed verification. -The COM backend controls a live AutoCAD session on Windows through a -single-threaded STA executor. The ezdxf backend creates, edits, renders, and -validates DXF drawings without AutoCAD. Both return the same typed entities, -layers, blocks, drawing metadata, and capability format. +```bash +python -m benchmarks.render_matrix_chart +``` -### Geometry agents do not have to guess +### 3 · Headless performance — scale evidence -Tools such as `point_from_snap`, `point_intersection`, and `point_tangent` -resolve exact construction coordinates from drawing entities. Handle-preserving -edit tools and smart selection keep agents attached to real geometry instead of -reconstructing state from prose. +![Performance](docs/assets/autocad-mcp-perf.svg) -### Quality is a loop +| Workload | Wall time | Throughput / result | +|---|---:|---| +| Create 2,000 lines (individual calls) | 0.64 s | ~3,100 entities/s | +| 10,000 lines: build + DXF export + reopen | 13.9 s | ~700 entities/s end-to-end | +| Region query over 10,000 entities | 3.4 s | 2,500 matched | +| Premium pass (layers + part + dims + full critique) | 0.32 s | 0 issues | -`drawing_preflight` checks whether an engineering request is ready to draw. -`drawing_critique` reports standards and geometry issues. `drawing_refine` -repairs the supported subset inside isolated transactions and rolls back rounds -that reduce quality. `drawing_finalize` combines structural validation, -standards critique, a scalar score, and invalidity ratio. +Workloads call the same backend methods the MCP tools call, so server-side +overhead is included. Self-measurement only — competitor servers would pay an +extra stdio serialization cost that in-process runs do not, so no cross-server +timing claims are made. Numbers move with hardware; the machine fingerprint is +recorded in the report. -### Delivery carries evidence +```bash +python -m benchmarks.perf_suite --out benchmarks/results/published/perf-ezdxf.json +python -m benchmarks.render_perf_chart +``` -`drawing_deliver` creates the requested artifacts, computes SHA-256 hashes, -reopens the canonical DXF, compares entity/layer/type counts and bounds, and -writes `manifest.json` plus `validation.json`. A successful tool call is not -treated as proof that the drawing survived export. +### 4 · Source-reviewed capability rubric (context) + +![Source-reviewed AutoCAD MCP capability benchmark](docs/assets/autocad-mcp-benchmark.svg) + +Six named AutoCAD MCP projects scored against a fixed public 100-point rubric +(CAD breadth, correctness and delivery, backend reach, engineering production, +tests, security), generated from +[`benchmarks/source_review.json`](benchmarks/source_review.json). This is a +dated source review — evidence grade **A** means source plus executable local +evidence was reviewed; **B** means the live AutoCAD path was not fully +executed. It is not a shared live run; lanes 1-3 above are the runtime +evidence. Full rubric, caveats and the version A/B suite: +[`benchmarks/README.md`](benchmarks/README.md). + +## What ships in v1.4 + +| Area | Tools | +|---|---| +| Drawing lifecycle | create, open, save, export DXF/PDF, audit, purge, undo/redo | +| Geometry | lines, arcs, polylines, splines, hatches, trim/extend/fillet/chamfer, handle-preserving edits | +| Annotation | ISO 129 toleranced dimensions, **ISO 286 fits** (`fit="H7"`), TABLE, MLEADER, GD&T frames + datums (ISO 1101) | +| Engineering generators | involute gears (front + section A-A), DIN 6885 keyed bores, ISO A3 titleblock | +| **Paper space** *(new)* | `layout_list/create/set_current`, scaled `viewport_create`, `drawing_export_pdf(layout=...)` | +| **3D solids** *(new, opt-in)* | `solid_box/cylinder/extrude/revolve/boolean` on live AutoCAD (`ENABLE_3D=true`) | +| Quality loop | `drawing_preflight` → `drawing_plan` → `drawing_critique` → `drawing_refine` → `drawing_finalize` (0-100 score) | +| Delivery | `drawing_deliver`: DXF/PDF/PNG + SHA-256 manifest + reopen-parity checks | +| Discovery | **tool profiles** *(new)*: `TOOL_PROFILE=lean` (~46 tools) / `core` / `full` for clients with tight tool caps | + +The tool surface evolves — ask `system_about` for the live grouped inventory +and `system_capabilities` for per-backend support modes instead of copying +lists from this README. + +## Architecture + +```mermaid +flowchart LR + A[MCP host / AI agent] --> B[FastMCP server] + B --> C[Error - audit - timing - logging middleware] + C --> D[Typed tool contract + tool profiles] + D --> E[COM backend] + D --> F[ezdxf backend] + E --> G[Live AutoCAD] + F --> H[Headless DXF] + E --> I[Engineering quality + delivery] + F --> I +``` + +- `server.py` — FastMCP surface, lifespan, middleware, resources, prompts. +- `backends/base.py` — shared typed contract + capability model. +- `backends/com_backend.py` — single-STA-thread COM executor with per-call + timeouts. +- `backends/ezdxf_backend.py` — `asyncio.to_thread`-wrapped DXF engine with + snapshot transactions. +- `engineering/` — standards-aware planning, generators, critique, scoring, + fits, refinement, validation, delivery. +- `security.py` — path validation and command/AutoLISP sanitization. ## Backend capabilities @@ -153,210 +165,135 @@ treated as proof that the drawing survived export. | Live AutoCAD document control | ✓ | — | | Headless DXF creation and editing | — | ✓ | | Cross-platform execution | — | ✓ | -| Deterministic entity/query contract | ✓ | ✓ | | Transactions and rollback | ✓ | ✓ | +| Paper-space layouts + viewports | ✓ | ✓ | +| Viewport model-content rendering | ✓ | — | | TABLE and MLEADER semantics | Native | Portable composite | +| 3D solids (opt-in) | ✓ | — (no headless ACIS) | | Screenshots | AutoCAD window | Matplotlib render | | Raw AutoCAD commands / AutoLISP | Opt-in | — | -Use `system_capabilities` at runtime instead of assuming backend support. The -machine-readable response distinguishes `native`, `composite`, `emulated`, and -`unsupported` behavior where the engines differ. +`system_capabilities` returns this machine-readably (`native`, `composite`, +`rendered`, `snapshot`, `shared`, `unsupported`) — use it at runtime instead of +assuming. ## A production drawing workflow -The server exposes low-level CAD primitives, but the intended engineering path -uses deterministic orchestration and validation: - ```text drawing_preflight → drawing_plan → drawing_apply_iso_layers -→ deterministic create/edit tools → dimension_auto +→ deterministic create/edit tools → dimension_auto (+ fit="H7" callouts) → drawing_critique → drawing_refine -→ drawing_finalize → drawing_deliver +→ layout_create + viewport_create → drawing_finalize → drawing_deliver ``` -Representative capability groups include: - -| Area | Examples | -|---|---| -| Drawing lifecycle | create, open, save, export, audit, purge, undo/redo | -| Geometry | lines, arcs, polylines, hatches, splines, trim/extend/fillet/chamfer | -| Annotation | dimensions, ISO 129 tolerances, TABLE, MLEADER, text editing | -| Engineering | gears, keyed bores, title blocks, ISO 1101 GD&T and datums | -| Query | entity/layer/block inspection, selection, bounds, distance and area | -| Quality | preflight, critique, score, transactional refinement and finalization | -| Delivery | PDF/PNG/DXF output, hashes, manifests and reopen-parity checks | - -The tool surface evolves. Ask `system_about` for the live grouped inventory -instead of building integrations around a copied list from this README. - -## Installation profiles - -| Profile | Command | Use case | -|---|---|---| -| Core | `pip install -e .` | Headless ezdxf workflows | -| COM | `pip install -e ".[com]"` | Live AutoCAD on Windows | -| PDF | `pip install -e ".[pdf]"` | PDF export and headless screenshots | -| Full | `pip install -e ".[full]"` | Both backends and all render features | - -Requirements: - -- Python 3.11+ -- [FastMCP](https://github.com/jlowin/fastmcp) 3.0+ -- [ezdxf](https://github.com/mozman/ezdxf) 1.3+ -- AutoCAD, `pywin32`, and Pillow only for live COM control -- Matplotlib only for PDF/headless rendering and benchmark visualization - ## Connect an MCP client -### Claude Desktop - -Add a server entry to `claude_desktop_config.json` and use the absolute path to -your checkout: +### Claude Desktop / Cursor / any stdio host ```json { "mcpServers": { "autocad": { - "command": "python", - "args": ["C:\\path\\to\\Autocad-MCP\\server.py"], + "command": "autocad-mcp", "env": { "AUTOCAD_MCP_BACKEND": "auto", - "ALLOWED_PATHS": "C:\\Users\\you\\Documents\\AutoCAD" + "ALLOWED_PATHS": "C:\\Users\\you\\Documents\\AutoCAD", + "TOOL_PROFILE": "full" } } } } ``` -Cursor, Cline, Continue, Goose, and other stdio-capable MCP hosts use the same -`command` plus `args` shape. The model vendor is not part of the server -contract. +After `pip install autocad-mcp-pro` the `autocad-mcp` command is on PATH; from +a checkout use `"command": "python"`, `"args": ["path/to/server.py"]`. The +model vendor is not part of the server contract. ### Local HTTP ```bash -fastmcp run server.py:mcp --transport http --port 8000 +autocad-mcp --transport http --port 8000 ``` -Loopback is the default. A non-loopback bind is refused unless remote HTTP is -explicitly enabled and bearer-token authentication is configured. +Loopback only by default; a non-loopback bind is refused unless remote HTTP is +explicitly enabled **and** a bearer token is configured. ## Configuration -Set variables in your shell, process manager, or MCP client configuration. -[`.env.example`](.env.example) is a reference; the server reads process -environment variables directly. - | Variable | Default | Purpose | |---|---|---| -| `AUTOCAD_MCP_BACKEND` | `auto` | Select `auto`, `com`, or `ezdxf` | +| `AUTOCAD_MCP_BACKEND` | `auto` | `auto`, `com`, or `ezdxf` | +| `TOOL_PROFILE` | `full` | `lean` (~46 curated tools), `core` (hides escape hatches), `full` | +| `ENABLE_3D` | `false` | Expose the opt-in `solid_*` tools (COM backend) | | `LOG_LEVEL` | `INFO` | Python logging level | | `ALLOWED_PATHS` | empty | Comma-separated absolute paths the server may access | | `MAX_UNDO_STACK` | `5` | Maximum retained undo snapshots | -| `MAX_DXF_BYTES` | `52428800` | Reject larger DXF input; `0` disables the check | -| `MAX_LIST_LIMIT` | `5000` | Bound list and selection response sizes | -| `COM_CALL_TIMEOUT` | `60` | Per-call live AutoCAD timeout in seconds | -| `DANGEROUS_COMMANDS_ENABLED` | `false` | Allow blocked commands/LISP and report unsafe mode | +| `MAX_DXF_BYTES` | `52428800` | Reject larger DXF input; `0` disables | +| `MAX_LIST_LIMIT` | `5000` | Bound list/selection response sizes | +| `COM_CALL_TIMEOUT` | `60` | Per-call live AutoCAD timeout (seconds) | +| `DANGEROUS_COMMANDS_ENABLED` | `false` | Allow blocked commands/LISP; reported as unsafe mode | | `ALLOW_REMOTE_HTTP` | `false` | Permit a non-loopback HTTP bind | | `MCP_AUTH_TOKEN` | empty | Bearer token required for remote HTTP | -Backend selection: - -| Value | Behavior | -|---|---| -| `auto` | Try COM on Windows, then fall back to ezdxf | -| `com` | Require a reachable live AutoCAD instance | -| `ezdxf` | Force portable, headless DXF operation | - -## Architecture - -```mermaid -flowchart LR - A[MCP host / AI agent] --> B[FastMCP server] - B --> C[Error · audit · timing · logging middleware] - C --> D[Typed tool contract] - D --> E[COM backend] - D --> F[ezdxf backend] - E --> G[Live AutoCAD] - F --> H[Headless DXF] - E --> I[Engineering quality + delivery] - F --> I -``` - -- `server.py` owns the FastMCP surface, lifespan, middleware, resources, and - prompt templates. -- `backends/base.py` defines the shared contract and capability model. -- `backends/com_backend.py` serializes COM calls through one STA thread with - per-call timeouts. -- `backends/ezdxf_backend.py` wraps synchronous DXF work with - `asyncio.to_thread` and snapshot-based transactions. -- `engineering/` contains standards-aware planning, drawing, critique, scoring, - refinement, validation, and delivery. -- `security.py` centralizes path validation and command/LISP sanitization. - ## Security model -The server treats tool input as untrusted: +Tool input is treated as untrusted: -- Every file path passes through traversal and allowed-root validation. -- Dangerous AutoCAD commands and AutoLISP channels are blocked by default. -- Remote HTTP requires explicit opt-in and a bearer token. -- DXF size, query-result size, undo history, and COM call duration are bounded. -- Audit middleware records tool timing and failures. -- `system_status` and `system_about` expose `unsafe_mode` when dangerous +- every path passes traversal + allowed-root validation; +- dangerous AutoCAD commands and AutoLISP channels are blocked by default, + with regression tests for known bypass patterns; +- remote HTTP requires explicit opt-in plus a bearer token; +- DXF size, response sizes, undo history and COM call duration are bounded; +- audit middleware records tool timing and failures; +- `system_status` / `system_about` expose `unsafe_mode` when dangerous operations are enabled. -`DANGEROUS_COMMANDS_ENABLED=true` is a trust decision, not an installation -shortcut. Keep it disabled for agents or clients you do not fully control. - -Please avoid filing public issues for vulnerabilities. Contact the maintainer -through [GitHub](https://github.com/U-C4N) first. +Please report vulnerabilities privately via [GitHub](https://github.com/U-C4N) +rather than public issues. ## Development ```bash pip install -e ".[full]" pip install pytest pytest-asyncio pytest-cov ruff build -python -m pytest -python -m ruff check . -python -m ruff format --check . +python -m pytest # 474 tests +python -m ruff check . && python -m ruff format --check . python -m build ``` -Focused benchmark checks: - -```bash -python -m pytest tests/test_benchmark_chart.py tests/test_benchmark_v2.py -q -python -m benchmarks.render_chart -``` +CI runs the same gates on Linux (3.11/3.12), Windows (mocked-COM suite), +plus package, Docker and MCP-registry-schema jobs. Releases are tag-driven: +`git tag vX.Y.Z && git push origin vX.Y.Z` builds, publishes to PyPI and cuts +the GitHub Release. See +[`docs/RELEASE-DISTRIBUTION.md`](docs/RELEASE-DISTRIBUTION.md). Repository map: ```text -server.py FastMCP surface and orchestration -config.py Environment-driven settings -security.py Path, command, and AutoLISP guards -version.py Canonical package version -backends/ COM and ezdxf implementations -engineering/ Standards, critique, refinement, delivery -benchmarks/ Reproducible data, runners, and reports -tests/ Headless, mocked-COM, contract, and security tests +server.py FastMCP surface and orchestration +config.py Environment-driven settings +security.py Path, command, and AutoLISP guards +version.py Canonical package version +backends/ COM and ezdxf implementations +engineering/ Standards, generators, critique, fits, delivery +benchmarks/ Runners, adapters, published reports, chart renderers +tests/ Headless, mocked-COM, contract, and security tests ``` -## Roadmap +## Roadmap (1.5) -The next priorities are capability-aware tool discovery, paper-space/layout -depth, ISO 286 fits, Windows CI coverage, opt-in COM 3D solids, and real -cross-project runtime adapters. Features are published when their contracts and -limitations are testable—not when they make a longer checklist. +Screenshot overlay + handle grounding, ezdxf redo (forward snapshots), COM +`block_create_from_entities`, ISO 286 transition/interference hole letters +(delta rule), titleblock on paper-space layouts. Features are published when +their contracts and limitations are testable — not when they make a longer +checklist. ## Contributing -Pull requests are welcome, especially for reproducible competitor adapters, +Pull requests are welcome — especially reproducible competitor adapters, mocked/live COM coverage, engineering standards, and backend parity. For a -large change, open an issue first so the tool contract and evidence plan can be -agreed before implementation. +large change, open an issue first so the tool contract and evidence plan can +be agreed before implementation. ## Author diff --git a/benchmarks/README.md b/benchmarks/README.md index 9dc4b8b..c67e068 100644 --- a/benchmarks/README.md +++ b/benchmarks/README.md @@ -78,13 +78,31 @@ Method and boundaries: require a local AutoCAD session and are out of CI scope by design. Published machine-readable reports (artifact paths sanitized to filenames) -live under [`results/published/`](results/published/); the README chart is +live under [`results/published/`](results/published/); the README charts are regenerated from them: ```bash python -m benchmarks.run_competitors --server puran-water-autocad-mcp --backend ezdxf python -m benchmarks.run_competitors --server beiming183-autocad-mcp --backend ezdxf -python -m benchmarks.render_live_chart +python -m benchmarks.render_live_chart # score bars +python -m benchmarks.render_matrix_chart # tasks x servers status heatmap +``` + +## Headless performance lane + +`perf_suite.py` measures wall time on fixed workloads through the same backend +methods the MCP tools call (server-side overhead included): 2,000 individual +line creates, a 10,000-entity build → DXF export → reopen roundtrip, a region +query over 10,000 entities, and a full premium quality pass (ISO layers, +geometry, dimensions, complete critique). The report records the machine +fingerprint; numbers move with hardware, workload definitions do not. +**Self-measurement only** — competitor servers would pay an extra stdio +serialization cost that in-process runs do not, so no cross-server timing +claims are made. + +```bash +python -m benchmarks.perf_suite --out benchmarks/results/published/perf-ezdxf.json +python -m benchmarks.render_perf_chart ``` ## Correctness A/B suite diff --git a/benchmarks/perf_suite.py b/benchmarks/perf_suite.py new file mode 100644 index 0000000..6c988b4 --- /dev/null +++ b/benchmarks/perf_suite.py @@ -0,0 +1,210 @@ +"""Headless performance suite (v3 lane): wall-time on real drawing workloads. + +Complements the correctness/coverage lanes with *scale* evidence: how long the +ezdxf engine takes to create, roundtrip, query and quality-check real geometry. +Workloads drive the backend exactly like the MCP tools do (same async methods), +so the numbers include the server-side call overhead, not just raw ezdxf. + +Honesty boundaries: + +- Self-measurement only — no competitor timing claims (their servers would pay + an extra stdio serialization cost ours does not pay in-process). +- Wall-clock on the machine recorded in the report; absolute numbers move with + hardware, the workload definitions do not. + +Run: + + python -m benchmarks.perf_suite # human summary + python -m benchmarks.perf_suite --json # machine-readable report + python -m benchmarks.perf_suite --out benchmarks/results/published/perf-ezdxf.json +""" + +from __future__ import annotations + +import argparse +import asyncio +import json +import platform +import sys +import time +from dataclasses import asdict, dataclass +from pathlib import Path + +from backends.ezdxf_backend import EzdxfBackend + + +@dataclass +class WorkloadResult: + workload_id: str + description: str + wall_ms: float + metric: str + metric_value: float + detail: dict + + +async def _timed(coro) -> tuple[float, object]: + started = time.perf_counter() + result = await coro + return (time.perf_counter() - started) * 1000.0, result + + +async def workload_create_lines_2k(backend: EzdxfBackend) -> WorkloadResult: + """2,000 individual entity_create_line calls (per-call tool overhead included).""" + await backend.drawing_new() + started = time.perf_counter() + for index in range(2_000): + y = float(index % 100) + await backend.entity_create_line(0.0, y, 100.0, y + 1.0) + wall_ms = (time.perf_counter() - started) * 1000.0 + count = (await backend.drawing_info()).entity_count + return WorkloadResult( + "create_lines_2k", + "Create 2,000 lines through individual backend calls", + round(wall_ms, 1), + "entities_per_second", + round(2_000 / (wall_ms / 1000.0), 1), + {"entity_count": count}, + ) + + +async def workload_roundtrip_10k(backend: EzdxfBackend, scratch: Path) -> WorkloadResult: + """Build a 10,000-entity drawing, export DXF, reopen, read info.""" + await backend.drawing_new() + build_started = time.perf_counter() + for index in range(10_000): + x = float(index % 500) + y = float(index // 500) + await backend.entity_create_line(x, y, x + 0.8, y + 0.8) + build_ms = (time.perf_counter() - build_started) * 1000.0 + + target = scratch / "perf_roundtrip_10k.dxf" + export_ms, _ = await _timed(backend.drawing_export_dxf(str(target))) + + reopened = EzdxfBackend() + await reopened.connect() + try: + reopen_ms, _ = await _timed(reopened.drawing_open(str(target))) + count = (await reopened.drawing_info()).entity_count + finally: + await reopened.disconnect() + + total = build_ms + export_ms + reopen_ms + return WorkloadResult( + "roundtrip_10k", + "Create 10,000 lines, export DXF, reopen and verify", + round(total, 1), + "entities_per_second", + round(10_000 / (total / 1000.0), 1), + { + "build_ms": round(build_ms, 1), + "export_ms": round(export_ms, 1), + "reopen_ms": round(reopen_ms, 1), + "file_bytes": target.stat().st_size, + "entity_count": count, + }, + ) + + +async def workload_region_query_10k(backend: EzdxfBackend) -> WorkloadResult: + """Rectangular region query against the 10,000-entity drawing.""" + # backend still holds the 10k drawing from the roundtrip workload builder; + # rebuild deterministically to stay order-independent. + await backend.drawing_new() + for index in range(10_000): + x = float(index % 500) + y = float(index // 500) + await backend.entity_create_line(x, y, x + 0.8, y + 0.8) + wall_ms, found = await _timed(backend.analysis_entities_in_region(0.0, 0.0, 250.0, 10.0)) + return WorkloadResult( + "region_query_10k", + "Crossing-selection region query over 10,000 entities", + round(wall_ms, 1), + "entities_matched", + float(len(found)), + {"entity_count": 10_000}, + ) + + +async def workload_premium_pass(backend: EzdxfBackend) -> WorkloadResult: + """Small end-to-end quality loop: layers, geometry, dimensions, critique.""" + started = time.perf_counter() + await backend.drawing_new() + await backend.drawing_apply_iso_layers("mech") + plate = [ + (0.0, 0.0, 120.0, 0.0), + (120.0, 0.0, 120.0, 80.0), + (120.0, 80.0, 0.0, 80.0), + (0.0, 80.0, 0.0, 0.0), + ] + for x1, y1, x2, y2 in plate: + await backend.entity_create_line(x1, y1, x2, y2, layer="GEOMETRY") + await backend.entity_create_circle(60.0, 40.0, 12.0, layer="GEOMETRY") + await backend.dimension_linear(0, 0, 120, 0, 60, -15, layer="DIM") + await backend.dimension_linear(0, 0, 0, 80, -15, 40, 90, layer="DIM") + issues = await backend.drawing_critique(None) + wall_ms = (time.perf_counter() - started) * 1000.0 + return WorkloadResult( + "premium_pass", + "Plate with hole: ISO layers, geometry, dimensions and full critique", + round(wall_ms, 1), + "critique_issues", + float(len(issues)), + {"entities": (await backend.drawing_info()).entity_count}, + ) + + +async def run_suite(scratch: Path) -> dict: + backend = EzdxfBackend() + await backend.connect() + try: + results = [ + await workload_create_lines_2k(backend), + await workload_roundtrip_10k(backend, scratch), + await workload_region_query_10k(backend), + await workload_premium_pass(backend), + ] + finally: + await backend.disconnect() + return { + "schema_version": "perf/1.0", + "backend": "ezdxf", + "environment": { + "python": sys.version.split()[0], + "implementation": platform.python_implementation(), + "platform": platform.platform(), + "machine": platform.machine(), + }, + "workloads": [asdict(item) for item in results], + } + + +def build_parser() -> argparse.ArgumentParser: + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--json", action="store_true", help="Print machine-readable JSON") + parser.add_argument("--out", type=Path, default=None, help="Also write the report to a file") + parser.add_argument("--scratch", type=Path, default=Path("benchmarks/results/perf-scratch")) + return parser + + +def main() -> int: + args = build_parser().parse_args() + args.scratch.mkdir(parents=True, exist_ok=True) + report = asyncio.run(run_suite(args.scratch)) + rendered = json.dumps(report, ensure_ascii=False, indent=2, sort_keys=True) + if args.out is not None: + args.out.parent.mkdir(parents=True, exist_ok=True) + args.out.write_text(rendered + "\n", encoding="utf-8") + if args.json: + print(rendered) + else: + for item in report["workloads"]: + print( + f"{item['workload_id']:>18} {item['wall_ms']:>10.1f} ms " + f"{item['metric']}={item['metric_value']}" + ) + return 0 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/benchmarks/render_live_chart.py b/benchmarks/render_live_chart.py index 6c83959..cf8873e 100644 --- a/benchmarks/render_live_chart.py +++ b/benchmarks/render_live_chart.py @@ -23,7 +23,7 @@ def load_reports(input_dir: Path) -> list[dict[str, Any]]: for path in sorted(input_dir.glob("*.json")): data = json.loads(path.read_text(encoding="utf-8")) if data.get("schema_version") != "2.0": - raise ValueError(f"{path.name}: unsupported schema_version") + continue # other lanes (e.g. perf/1.0) share the published folder summary = data.get("summary") or {} if "score" not in summary or "coverage_percent" not in summary: raise ValueError(f"{path.name}: summary is missing score/coverage") diff --git a/benchmarks/render_matrix_chart.py b/benchmarks/render_matrix_chart.py new file mode 100644 index 0000000..7639296 --- /dev/null +++ b/benchmarks/render_matrix_chart.py @@ -0,0 +1,174 @@ +"""Render the live-run task matrix (tasks x servers) as a deterministic SVG. + +Input: the published per-server reports under ``benchmarks/results/published/`` +(the same files the score chart uses). Output: a status heatmap — every task +against every server — so coverage gaps are visible per capability instead of +being folded into one number. +""" + +from __future__ import annotations + +import argparse +import json +from pathlib import Path +from typing import Any + +from benchmarks.tasks_v2 import TASKS_V2 + +ROOT = Path(__file__).resolve().parents[1] +DEFAULT_INPUT_DIR = ROOT / "benchmarks" / "results" / "published" +DEFAULT_OUTPUT = ROOT / "docs" / "assets" / "autocad-mcp-taskmatrix.svg" + +STATUS_COLORS = { + "pass": "#2da44e", + "partial": "#d4a72c", + "fail": "#cf222e", + "timeout": "#a40e26", + "unsupported": "#d0d7de", + "not_run": "#f6f8fa", +} + +STATUS_GLYPHS = { + "pass": "P", + "partial": "~", + "fail": "F", + "timeout": "T", + "unsupported": "-", + "not_run": "?", +} + + +def load_reports(input_dir: Path) -> list[dict[str, Any]]: + reports: list[dict[str, Any]] = [] + for path in sorted(input_dir.glob("*.json")): + data = json.loads(path.read_text(encoding="utf-8")) + if data.get("schema_version") != "2.0": + continue # perf reports and other lanes live in the same folder + reports.append(data) + if not reports: + raise SystemExit(f"no task-matrix reports found in {input_dir}") + # our server first, then alphabetical + reports.sort(key=lambda item: (item["adapter"] != "autocad-mcp-pro", item["adapter"])) + return reports + + +def render_chart(reports: list[dict[str, Any]], output: Path) -> None: + try: + import matplotlib + + matplotlib.use("Agg") + import matplotlib.pyplot as plt + from matplotlib.patches import Patch, Rectangle + except ImportError as exc: + raise SystemExit( + 'Matplotlib is required. Install it with: pip install -e ".[pdf]"' + ) from exc + + matplotlib.rcParams["svg.hashsalt"] = "autocad-mcp-taskmatrix-v1" + + task_ids = [task.task_id for task in TASKS_V2] + task_labels = [f"{task.task_id} ({task.category})" for task in TASKS_V2] + servers = [report["adapter"] for report in reports] + status_by_server = { + report["adapter"]: {item["task_id"]: item["status"] for item in report["results"]} + for report in reports + } + + fig, ax = plt.subplots( + figsize=(3.4 + 2.4 * len(servers), 1.8 + 0.52 * len(task_ids)), + constrained_layout=True, + ) + fig.patch.set_facecolor("#f6f8fa") + ax.set_facecolor("#f6f8fa") + + for row, task_id in enumerate(task_ids): + for col, server in enumerate(servers): + status = status_by_server[server].get(task_id, "not_run") + color = STATUS_COLORS.get(status, "#f6f8fa") + ax.add_patch( + Rectangle( + (col + 0.06, row + 0.08), + 0.88, + 0.84, + facecolor=color, + edgecolor="#d0d7de", + linewidth=0.8, + ) + ) + glyph_color = "#ffffff" if status in ("pass", "fail", "timeout") else "#24292f" + ax.text( + col + 0.5, + row + 0.5, + STATUS_GLYPHS.get(status, "?"), + ha="center", + va="center", + fontsize=11, + fontweight="bold", + color=glyph_color, + ) + + ax.set_xlim(0, len(servers)) + ax.set_ylim(len(task_ids), 0) + ax.set_xticks([index + 0.5 for index in range(len(servers))]) + ax.set_xticklabels(servers, color="#24292f", fontsize=10, fontweight="bold") + ax.xaxis.set_ticks_position("top") + ax.set_yticks([index + 0.5 for index in range(len(task_ids))]) + ax.set_yticklabels(task_labels, color="#24292f", fontsize=9) + ax.tick_params(length=0) + for spine in ax.spines.values(): + spine.set_visible(False) + + ax.set_title( + "Task matrix — live headless lane", + loc="left", + fontsize=17, + fontweight="bold", + color="#24292f", + pad=34, + ) + + legend_handles = [ + Patch(facecolor=STATUS_COLORS["pass"], label="pass"), + Patch(facecolor=STATUS_COLORS["partial"], label="partial"), + Patch(facecolor=STATUS_COLORS["fail"], label="fail"), + Patch(facecolor=STATUS_COLORS["unsupported"], label="unsupported (no equivalent)"), + ] + ax.legend( + handles=legend_handles, + loc="upper left", + bbox_to_anchor=(0, -0.02), + ncol=4, + frameon=False, + fontsize=9, + ) + + output.parent.mkdir(parents=True, exist_ok=True) + fig.savefig( + output, + format="svg", + facecolor=fig.get_facecolor(), + metadata={"Creator": "AutoCAD MCP Pro task-matrix 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-dir", type=Path, default=DEFAULT_INPUT_DIR) + parser.add_argument("--output", type=Path, default=DEFAULT_OUTPUT) + return parser + + +def main() -> int: + args = build_parser().parse_args() + render_chart(load_reports(args.input_dir), args.output) + print(f"Rendered task-matrix chart: {args.output}") + return 0 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/benchmarks/render_perf_chart.py b/benchmarks/render_perf_chart.py new file mode 100644 index 0000000..849d5ec --- /dev/null +++ b/benchmarks/render_perf_chart.py @@ -0,0 +1,146 @@ +"""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("#f6f8fa") + ax.set_facecolor("#f6f8fa") + bars = ax.barh(labels, values, color="#0969da", height=0.58) + + ax.set_xscale("log") + ax.set_xlabel("Wall time in ms (log scale) — lower is better", color="#24292f", labelpad=10) + ax.set_title( + "Headless performance — ezdxf engine", + loc="left", + fontsize=18, + fontweight="bold", + color="#24292f", + 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="#57606a", + 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="#24292f", + 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="#57606a", + fontsize=9, + ) + ax.grid(axis="x", color="#d0d7de", linewidth=0.8, alpha=0.8) + ax.set_axisbelow(True) + ax.tick_params(axis="x", colors="#57606a") + ax.tick_params(axis="y", colors="#24292f", 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()) diff --git a/benchmarks/results/published/perf-ezdxf.json b/benchmarks/results/published/perf-ezdxf.json new file mode 100644 index 0000000..ebdc1e6 --- /dev/null +++ b/benchmarks/results/published/perf-ezdxf.json @@ -0,0 +1,56 @@ +{ + "backend": "ezdxf", + "environment": { + "implementation": "CPython", + "machine": "AMD64", + "platform": "Windows-11-10.0.26200-SP0", + "python": "3.14.0" + }, + "schema_version": "perf/1.0", + "workloads": [ + { + "description": "Create 2,000 lines through individual backend calls", + "detail": { + "entity_count": 2000 + }, + "metric": "entities_per_second", + "metric_value": 3148.0, + "wall_ms": 635.3, + "workload_id": "create_lines_2k" + }, + { + "description": "Create 10,000 lines, export DXF, reopen and verify", + "detail": { + "build_ms": 10884.9, + "entity_count": 10000, + "export_ms": 1439.2, + "file_bytes": 1369662, + "reopen_ms": 1607.5 + }, + "metric": "entities_per_second", + "metric_value": 717.8, + "wall_ms": 13931.6, + "workload_id": "roundtrip_10k" + }, + { + "description": "Crossing-selection region query over 10,000 entities", + "detail": { + "entity_count": 10000 + }, + "metric": "entities_matched", + "metric_value": 2500.0, + "wall_ms": 3434.2, + "workload_id": "region_query_10k" + }, + { + "description": "Plate with hole: ISO layers, geometry, dimensions and full critique", + "detail": { + "entities": 7 + }, + "metric": "critique_issues", + "metric_value": 0.0, + "wall_ms": 315.9, + "workload_id": "premium_pass" + } + ] +} diff --git a/docs/assets/autocad-mcp-perf.svg b/docs/assets/autocad-mcp-perf.svg new file mode 100644 index 0000000..6ac85f8 --- /dev/null +++ b/docs/assets/autocad-mcp-perf.svg @@ -0,0 +1,2693 @@ + + + + + + + + image/svg+xml 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