anti
b3ff80d74e
Four tests pin the panel surface: * Empty-state placeholder renders when no observations. * Day-one priority primitives sort to the top of their group: motor.input_modality first in motor; the three cognitive priority primitives in documented order at the top of cognitive. * Each row renders primitive leaf, value, and confidence-percent badge. * Groups follow the canonical domain order (motor / cognitive / temporal / operational / environmental / emotional_valence); unknown domains alphabetise at the end. Mirrors the Orchestrator.test.tsx harness shape (DEBT-043). Live update path (useAttackerStream → setObservations) is exercised indirectly via the static render — the hook is dumb glue and the state mutation is React-side.
88 lines
3.3 KiB
TypeScript
88 lines
3.3 KiB
TypeScript
import { describe, it, expect } from 'vitest';
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import { render, screen } from '@testing-library/react';
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import {
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BehaviouralPrimitivesPanel,
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type BehaviouralObservation,
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} from './AttackerDetail';
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const _obs = (
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primitive: string,
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value: unknown,
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confidence = 0.85,
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): BehaviouralObservation => ({
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primitive,
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value,
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confidence,
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ts: 1714521660.456,
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source: 'test',
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});
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describe('BehaviouralPrimitivesPanel', () => {
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it('renders an empty-state placeholder when no observations', () => {
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render(<BehaviouralPrimitivesPanel observations={[]} />);
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expect(screen.getByTestId('behaviour-empty')).toBeInTheDocument();
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});
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it('places day-one priority primitives at the top of their group', () => {
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// Mix priority + non-priority primitives in arbitrary input order.
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const observations: BehaviouralObservation[] = [
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_obs('motor.keystroke_cadence', 'steady'),
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_obs('cognitive.tool_vocabulary', 'broad'),
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_obs('motor.input_modality', 'typed'), // priority #1
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_obs('cognitive.feedback_loop_engagement', 'closed_loop'), // priority #2
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_obs('cognitive.command_branch_diversity', 'adaptive_branching'), // #3
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_obs('cognitive.inter_command_latency_class', 'typing_speed'), // #4
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_obs('motor.error_correction', 'immediate'),
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];
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render(<BehaviouralPrimitivesPanel observations={observations} />);
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// motor group: input_modality must precede the alphabetised rest.
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const motorRows = Array.from(
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document.querySelectorAll('[data-testid^="behaviour-row-motor."]'),
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).map((el) => el.getAttribute('data-testid')!);
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expect(motorRows[0]).toBe('behaviour-row-motor.input_modality');
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// cognitive group: the three priority primitives must be in the
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// documented order at the top.
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const cogRows = Array.from(
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document.querySelectorAll('[data-testid^="behaviour-row-cognitive."]'),
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).map((el) => el.getAttribute('data-testid')!);
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expect(cogRows.slice(0, 3)).toEqual([
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'behaviour-row-cognitive.feedback_loop_engagement',
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'behaviour-row-cognitive.command_branch_diversity',
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'behaviour-row-cognitive.inter_command_latency_class',
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]);
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});
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it('renders the primitive value and a confidence badge', () => {
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const observations: BehaviouralObservation[] = [
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_obs('motor.input_modality', 'pasted', 0.91),
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];
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render(<BehaviouralPrimitivesPanel observations={observations} />);
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const row = screen.getByTestId('behaviour-row-motor.input_modality');
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expect(row.textContent).toContain('input_modality');
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expect(row.textContent).toContain('pasted');
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expect(row.textContent).toContain('91%');
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});
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it('groups by top-level domain in the canonical order', () => {
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const observations: BehaviouralObservation[] = [
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_obs('emotional_valence.arousal', 'medium_engaged'),
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_obs('temporal.session_duration', 'medium'),
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_obs('motor.input_modality', 'typed'),
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_obs('cognitive.cognitive_load', 'medium'),
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];
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render(<BehaviouralPrimitivesPanel observations={observations} />);
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const groups = Array.from(
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document.querySelectorAll('[data-testid^="behaviour-group-"]'),
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).map((el) => el.getAttribute('data-testid')!);
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expect(groups).toEqual([
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'behaviour-group-motor',
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'behaviour-group-cognitive',
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'behaviour-group-temporal',
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'behaviour-group-emotional_valence',
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]);
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});
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});
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