Files
OneCAD-Simulation/AGENTS.md
T
0e97f8dd1d Results display (M4) and offscreen full-UI capture (#28)
* ui.capture: the whole window drawn offscreen and rasterised on the CPU

ui.screenshot falls back to it when no frame is presented (hidden window,
locked screen), so agents can look at panels and the toolbar.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01NmAttHhUZTokgPeEJia8sm

* Draw the open design and imported surfaces in the viewport

DisplayMesh keeps node labels on every element primitive (for results),
gains add_surface (geometry faces and their boundaries, coincident points
welded) and displaced (elements moved by nodal offsets). Bodies are
tessellated at a thousandth of their size; meshed models show the geometry
as boundaries only.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01NmAttHhUZTokgPeEJia8sm

* results.* commands: deformed shape, contours, mode shapes, animation, reaction sums

The results display is session state (ResultsView), set by commands that are
not edits. Nodal fields (displacement, von Mises, principal and component
stresses; principal stresses in closed form after Smith 1961) and reaction
force and moment sums per set. Results kept from an earlier revision stay
viewable, marked stale; solve.probe says when a result is stale. The Results
tab's display and reaction entries are ready.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01NmAttHhUZTokgPeEJia8sm

* Results display: deformed shape, contours with legend, mode shapes and animation, probe, reaction sums

The viewport draws the session's results view: elements moved by their nodes'
displacements or a mode shape (automatic or given scale), faces split exactly
along contour band boundaries into flat-coloured pieces (same on GPU and CPU),
a legend with levels and extremes, a results panel whose controls run the
results.* commands, a click probing the nearest node (solve.probe), and stale
results marked. Solving from the form shows the result on the Results tab.
sample::cantilever is a solvable model for tests and demos.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01NmAttHhUZTokgPeEJia8sm

* Simplify the results display (review)

One Contour in the plot; the results scene reuses scene::build; a solve shows
its result through the engine (ResultsView::for_result) and the UI raises the
Results tab when a view appears; the plot's scale and contour values are kept
across animation frames; design bodies are tessellated once per design; the
first content is framed where the display is rebuilt; field_values in one
match; probe reuses results::displacements.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01NmAttHhUZTokgPeEJia8sm

* Results display for explicit steps: field frames, energy histories

The results view works on the engine's step results (static, frequency,
explicit): ResultsView.frame and results.frame {frame | time} pick an explicit
field frame; the deformed shape (true scale) and contours (element stresses
averaged to the nodes, velocity) follow it; animation runs through the frames.
The Results panel has a frame slider and plots the kinetic, internal, hourglass
and external energies with their values at the frame. sample::impact is a
steel bar flying onto a rigid wall.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01NmAttHhUZTokgPeEJia8sm

* docs/features.md after the rebase

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01NmAttHhUZTokgPeEJia8sm

---------

Co-authored-by: jyviko <2501648+jyviko@users.noreply.github.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-13 19:23:05 -04:00

9.0 KiB

ModelCraft — instructions for agents

ModelCraft is a clean-room, open-source, pure-Rust CAE modeling application: it turns geometry into analysis-ready finite element models (volume meshes, materials, sections, boundary conditions, loads and steps), writes them as Abaqus input, Nastran bulk data and LS-DYNA keyword decks, and solves linear static and modal problems with its own solver. It targets the pre-processing done today in Abaqus/CAE, Nastran pre-processors and LS-PrePost, and aims to beat them on meshing robustness, speed, openness and agent control.

Siblings with the same conventions: ../solidcraft (parametric CAD, Fusion-class), and the storytold Craft apps (storytold/cadcraft, vectorcraft, photocraft, …). Code adapted from them (MIT OR Apache-2.0) is noted in ATTRIBUTION.md.

Product name

ModelCraft everywhere: crates modelcraft-*, binaries modelcraft and modelcraft-cli, .modelcraft models, MODELCRAFT_* environment variables, docs, CI and packaging.

Start every session here

  1. Read ROADMAP.md (milestones, what is next) and your task.
  2. docs/architecture.md: crates, layers, the meshing pipeline.
  3. docs/adr/: library decisions (what we may depend on, what is rejected for licence reasons).
  4. Meshing work: docs/meshing/literature.md (the papers each algorithm comes from).

Never crash

People trust ModelCraft with their models; a crash loses their work. This outranks feature work.

  • No panics in non-test code: no unwrap(), expect(), panic!, unreachable!, todo!, unimplemented!; no unsafe (unsafe_code = "forbid").
  • Errors are Result<T, E> through the crate's error type and ?. An unfinished feature returns an error ("not supported yet: …"); it never panics.
  • Input-derived numbers are hostile (command parameters, model files, solver decks, control-channel input): get() not [i], finite checks, caps on sizes and loop counts.
  • Bound every iterative algorithm. Mesh refinement, smoothing, untangling and solver iterations have explicit iteration and element-count caps and report when they stop early.
  • SolidCraft calls are guarded: everything that calls solidcraft-kernel goes through solidcraft_kernel::guard inside modelcraft-geometry, which turns a panic into an error.
  • Last-resort guard: Session::execute runs every command under catch_unwind; an error or an escaped panic restores the model and reports EngineError.
  • Prove it: every crash fix lands with a regression test (see hostile_params_never_panic).
  • Every production crate root carries #![deny(clippy::unwrap_used, clippy::expect_used, clippy::panic, clippy::unimplemented, clippy::todo, clippy::unreachable)].

Non-negotiables

  • Independent. Behaviour is designed from public documentation, published papers, general CAE conventions and user feedback. Never copy another product's code, icons, artwork, help text, element or material libraries, templates or examples.
  • No commercial CAE products. Agents must not drive, script, automate or extract data from commercial CAE or meshing products (Abaqus, MSC/NX/Simcenter Nastran, LS-DYNA, LS-PrePost, HyperMesh, ANSA, Femap, Patran, ANSYS, …): no test data, measurements, decks, results or ids produced with them. Deck formats come from the vendors' publicly available reference manuals; we write our own descriptions and our own examples, never copy manual text or example decks.
  • Verification and validation (docs/verification.md). Every solver capability is checked three ways, each case in tests/oracle/ tagged with its source: theory (closed-form solutions, patch tests, mesh invariants), experiment (measurements published in papers and reports) and published benchmarks (reference results published by benchmark bodies and by solver vendors' benchmark and verification manuals, e.g. NAFEMS, Abaqus). Owner decision 2026-10-13: published vendor results may be used as reference values, cited per case. We never run a commercial product, never copy its input files, text or figures: each case is our own model built from the published description, and only the published numbers are used. Once our result matches its reference within the stated tolerance, it is frozen as a fixture (fixture.json), so any later change that moves it fails CI (fidelity never drifts silently).
  • Algorithms come from papers. Meshing and solver methods are implemented from published papers and theses, cited in the module docs and in docs/meshing/literature.md.
  • Never read, copy or link GPL/LGPL/AGPL code: TetGen, CGAL, Gmsh, Netgen, CalculiX, Code_Aster, OpenRadioss, Elmer, deal.II, FreeFEM, Salome, OpenFOAM — don't even read their sources. Permissively licensed code (MIT, BSD, Apache-2.0, MPL-2.0) may be read for reference; anything adapted is noted in ATTRIBUTION.md with its licence.
  • Assets — absolutely essential. ModelCraft contains no iconography, images, fonts or artwork from commercial CAE products — ever. Icons are original artwork made with VectorCraft: commit the editable .vectorcraft source beside the exported SVG/PNG. Any file asset must be original or openly licensed and must have a row in ATTRIBUTION.md (cargo xtask assets enforces it). Screenshots of commercial software are never committed.
  • Test geometry is our own. Meshing and solver test parts are built with SolidCraft and committed as recipes (scripts or designs) that regenerate them; analytic shapes are generated in code. No public CAD datasets (ABC, MAMBO, Thingi10K, GrabCAD) and nothing made in a commercial CAD or CAE product.
  • Everything is a command. User-visible behaviour = a command in crates/engine/src/cmd/* (CommandSpec: our own dotted, lower-case id <area>.<thing>[.<variant>] such as mesh.node.add or mesh.tet.generate, never another product's keyword; label; params doc; JSON run) + tests. The UI, scripts, CLI and control channel all reach the same commands.
  • Programmatic calls never open dialogs.
  • Layering is enforced by cargo xtask layers (docs/architecture.md): L0 model → L1 geometry, mesh, fem, decks, render → L2 solvers (solver; explicit, lbm later) → L3 fsi (later) → L4 doc → L5 io → L6 engine → L7 ui-egui, mcp → apps. Nothing below L7 depends on egui/eframe/winit/wgpu/rfd. Only crates/geometry may use solidcraft-*.
  • Determinism. The same input gives the same mesh, deck and CPU solver result, bit for bit, on every platform: no hash-order iteration into output, no thread-count-dependent results. GPU solver backends (wgpu, f32) are the one exception: deterministic per device, and checked against the CPU reference within a stated tolerance.
  • Robust geometry. Meshing decisions (orientation, in-sphere, intersection) use exact or adaptive-precision predicates, never a bare floating-point sign.
  • Units. The model is unit-consistent and never converts (the user picks e.g. mm, t, s, N, MPa); geometry from SolidCraft is in millimetres. Z is up.
  • Rust only. Never break wasm: everything below the apps builds for wasm32-unknown-unknown (cargo xtask wasm, part of cargo xtask ci).
  • Quality gates: GitHub CI runs cargo xtask ci (fmt, assets, licences, layers, clippy -D warnings, tests, wasm) on every PR; don't run the full gate locally. Before pushing: cargo fmt --all, cargo check the touched crates, and run the tests you added or changed. Commit after each working step (a layer that compiles with its tests passing), not one big commit per PR.
  • Publishing: origin is github.com/jyviko/modelcraft. Changes land through pull requests: branch, rebase onto the latest origin/main right before opening the PR and before every push that updates it (never merge main into a branch), push, open a PR, let CI run. A PR merges (gh pr merge --squash) only after review and only when its green CI ran on top of current main (mergeStateStatus CLEAN; rebase again if main moved); after a merge, main's own CI must pass. Never force-push main. Never commit plan/, .agent-files/, worktrees/ or target*/; check git ls-files before pushing.

Running

  • cargo run -p modelcraft-cli -- commands lists every command with its parameters.
  • cargo run -p modelcraft-cli -- run script.json runs a script (a JSON array of {"command", "params"}) and prints the model summary.
  • cargo run --release -p modelcraft -- --sample --control PORT opens the desktop app with the sample model and a control channel on 127.0.0.1:PORT (docs/control-protocol.md). For UI work, look at the result: ui.capture {path} (the whole window drawn offscreen; works with the screen locked), ui.screenshot {path} (a presented frame) or ui.render {path} (the model only), then read the PNG.
  • Build with CARGO_TARGET_DIR=<repo>/target. Parallel agents: separate target dirs, one worktree each.

Roadmap

ROADMAP.md (committed) tracks milestones. Update it whenever a milestone task lands.