44fc974425
- Add window.__nisps debug probe (gated on ?debug=1) exposing iml state,
getOutputs/getLoss/getWeights/getExampleCount, and action triggers
(thumbsUp/thumbsDown/train/randomise/clearExamples/saveState)
- Fix WasmIML bug: this.dataset was a plain object; import Dataset and
use new Dataset(100) so computeWeights() is available for training
- Fix WasmIML.addExample/clearDataset to use Dataset API methods
- 44 Playwright e2e tests across 4 spec files:
- ml-engine.spec.js: WASM inference bounds, training loss, thumbs
up/down behavior, async training, example capture semantics
- ui-interactions.spec.js: drawer open/close, mode switching,
heatmap bar counts, preset chips, keyboard shortcuts (1/2/Z)
- input-pipeline.spec.js: input→output variation, clamping, joystick
drag, post-training output bounds across the full input space
- persistence.spec.js: URL params (?preset, ?spread), localStorage
round-trip, saveState probe
32 lines
1.1 KiB
JavaScript
32 lines
1.1 KiB
JavaScript
/**
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* Shared helpers for e2e tests.
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*/
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const { expect } = require('@playwright/test');
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/**
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* Navigate to a-immersive with ?debug=1 and wait for the WASM engine to
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* initialise and expose window.__nisps.
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*
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* @param {import('@playwright/test').Page} page
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* @param {string} extraParams - additional query string, e.g. '&preset=beginner-1'
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*/
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async function loadApp(page, extraParams = '') {
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// Clear app state but mark help as seen so the overlay doesn't block clicks.
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await page.addInitScript(() => {
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localStorage.removeItem('nisps-a-immersive');
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localStorage.setItem('nisps-help-seen', '1');
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});
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await page.goto(`/a-immersive.html?debug=1${extraParams}`);
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// Wait until the debug probe is ready (WASM init is async).
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await page.waitForFunction(() => window.__nisps !== undefined, { timeout: 20_000 });
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}
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/**
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* Returns the current text content of the status line.
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* @param {import('@playwright/test').Page} page
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*/
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async function statusText(page) {
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return page.locator('#status-text').textContent();
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}
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module.exports = { loadApp, statusText };
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