Features/add web UI#3
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- New `crgutils-ui` script entry point served by stdlib HTTP server - Next.js 16 static export with Pyodide + micropip for in-browser Python - Six chart views via Plotly.js: elevation map, plan view, 3D surface, cross-section, longitudinal profile, heading/curvature - Build pipeline: `just build-ui` (uv build → prebuild → next build → copy to _ui/) - Release workflow updated to build UI before publishing wheel - Wheel automatically includes src/crgutils/_ui/ (uv_build filesystem walk) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Tries ports 8000–8009 in sequence before giving up with a clear error. Avoids the raw OSError crash when another process holds the default port. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
micropip is not auto-available in Pyodide — it must be explicitly loaded
with loadPackage("micropip") before `import micropip` will work.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…ames
micropip.install("/_pkg/crgutils.whl") failed because micropip parsed
the path component as a package name. Use window.location.origin to
construct an absolute http:// URL before passing it to micropip.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Remove _serve.py and crgutils-ui script entry point - Add deploy-ui.yaml: builds wheel + Next.js on push to master, deploys to https://time-integral.github.io/crgutils/ via GitHub Pages - next.config.ts: basePath/assetPrefix from NEXT_PUBLIC_BASE_PATH env var - prebuild.mjs: keep full versioned wheel filename so micropip can parse it; write manifest.json so pyodide.ts knows the filename at runtime; clean _pkg/ dir at start so stale wheels don't accumulate - pyodide.ts: load manifest.json to get wheel filename, use full http:// URL for micropip (relative paths were misinterpreted as package names) - release.yaml: remove Bun and UI build steps (wheel ships without UI) - justfile/CLAUDE.md updated accordingly Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
… heading Plotly Surface with 1D x/y arrays creates a rectangular grid in that coordinate space — wrong for a curved road. Each grid point (v[j], u[k]) has a unique world position via the Frenet frame: x = x_ref(u) − v·sin(φ) y = y_ref(u) + v·cos(φ) Pass 2D xGrid/yGrid arrays (shape [n_v][n_u]) so the surface footprint matches world geometry. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Python's json.dumps emits bare NaN/-Infinity/Infinity tokens which are invalid JSON — JSON.parse throws SyntaxError on them. Replace all three before returning the string to JavaScript. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
The bridge was computing z + z_mean (height relative to the reference line) while eval_uv_to_z adds ref_z on top of that. Add ref_z to z_abs before downsampling so every view — 3D surface, elevation map, cross-section, longitudinal profile — matches the Python eval output. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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