wip: next round of implementation, this time tests

tests/engine/agentic/protocol/uiSpecParser.test.ts

@@ -0,0 +1,93 @@
+import { describe, expect, it } from 'vitest';
+import { extractAssistantUiSpec } from '../../../../src/main/agentic/protocol/uiSpecParser';
+
+describe('extractAssistantUiSpec', () => {
+  it('extracts fenced JSON spec and preserves assistant text around it', () => {
+    const input = [
+      'Here is your dashboard.',
+      '```json',
+      '{"specVersion":"1","elements":[{"type":"text","text":"Hello"}]}',
+      '```',
+      'Anything else?',
+    ].join('\n');
+
+    const result = extractAssistantUiSpec(input);
+
+    expect(result.ui).not.toBeNull();
+    expect(result.ui?.specVersion).toBe('1');
+    expect(result.ui?.elements).toHaveLength(1);
+    expect(result.assistantText).toContain('Here is your dashboard.');
+    expect(result.assistantText).toContain('Anything else?');
+  });
+
+  it('normalizes markdown element into canonical text element', () => {
+    const input = JSON.stringify({
+      specVersion: '1',
+      elements: [{ type: 'markdown', content: '## Title' }],
+    });
+
+    const result = extractAssistantUiSpec(input);
+    const first = result.ui?.elements[0] as { type: string; text?: string };
+
+    expect(result.ui).not.toBeNull();
+    expect(first.type).toBe('text');
+    expect(first.text).toBe('## Title');
+  });
+
+  it('normalizes chart data datasets into chart series', () => {
+    const input = JSON.stringify({
+      specVersion: '1',
+      elements: [
+        {
+          type: 'chart',
+          chartType: 'bar',
+          data: {
+            labels: ['Jan', 'Feb'],
+            datasets: [{ data: [10, 20] }],
+          },
+        },
+      ],
+    });
+
+    const result = extractAssistantUiSpec(input);
+    const first = result.ui?.elements[0] as { series?: Array<{ label: string; value: number }>; data?: unknown };
+
+    expect(result.ui).not.toBeNull();
+    expect(first.series).toEqual([
+      { label: 'Jan', value: 10 },
+      { label: 'Feb', value: 20 },
+    ]);
+    expect(first.data).toBeUndefined();
+  });
+
+  it('normalizes tabs content to nested elements arrays', () => {
+    const input = JSON.stringify({
+      type: 'tabs',
+      tabs: [
+        {
+          title: 'Overview',
+          content: { type: 'text', text: 'Summary' },
+        },
+      ],
+    });
+
+    const result = extractAssistantUiSpec(input);
+    const tabs = result.ui?.elements[0] as {
+      tabs: Array<{ id: string; label: string; elements: Array<{ type: string; text?: string }> }>;
+    };
+
+    expect(result.ui).not.toBeNull();
+    expect(tabs.tabs).toHaveLength(1);
+    expect(tabs.tabs[0].id).toBe('tab-1');
+    expect(tabs.tabs[0].label).toBe('Overview');
+    expect(tabs.tabs[0].elements[0]).toEqual({ type: 'text', text: 'Summary' });
+  });
+
+  it('returns plain assistant text when malformed JSON is provided', () => {
+    const input = '{"specVersion":"1","elements":[{"type":"text"}';
+    const result = extractAssistantUiSpec(input);
+
+    expect(result.ui).toBeNull();
+    expect(result.assistantText).toBe(input);
+  });
+});