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test(core): split and enhance copilot e2e tests (#11007)
### TL;DR
Split and enhance copilot e2e tests.
### What Changed
#### Tests Structure
The e2e tests are organized into the following categories:
1. **Basic Tests (`/basic`)**: Tests for verifying core AI capabilities including feature onboarding, authorization workflows, and basic chat interactions.
2. **Chat Interaction Tests (`/chat-with`)**: Tests for verifying the AI's interaction with various object types, such as attachments, images, text content, Edgeless elements, etc.
3. **AI Action Tests (`/ai-action`)**: Tests for verifying the AI's actions, such as text translation, gramma correction, etc.
4. **Insertion Tests (`/insertion`)**: Tests for verifying answer insertion functionality.
#### Tests Writing
Writing a copilot test cases is easier and clear
e.g.
```ts
test('support chat with specified doc', async ({ page, utils }) => {
// Initialize the doc
await focusDocTitle(page);
await page.keyboard.insertText('Test Doc');
await page.keyboard.press('Enter');
await page.keyboard.insertText('EEee is a cute cat');
await utils.chatPanel.chatWithDoc(page, 'Test Doc');
await utils.chatPanel.makeChat(page, 'What is EEee?');
await utils.chatPanel.waitForHistory(page, [
{
role: 'user',
content: 'What is EEee?',
},
{
role: 'assistant',
status: 'success',
},
]);
const { content } = await utils.chatPanel.getLatestAssistantMessage(page);
expect(content).toMatch(/EEee/);
});
```
#### Summary
||Cases|
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|After|151||
> Close BS-2769
This commit is contained in:
@@ -0,0 +1,52 @@
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import { loginUser } from '@affine-test/kit/utils/cloud';
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import type { EdgelessRootBlockComponent } from '@blocksuite/affine/blocks/root';
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import type { GfxModel } from '@blocksuite/std/gfx';
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import { expect } from '@playwright/test';
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import { test } from '../base/base-test';
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test.describe('AIChatWith/EdgelessMindMap', () => {
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test.beforeEach(async ({ page, utils }) => {
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const user = await utils.testUtils.getUser();
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await loginUser(page, user);
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await utils.testUtils.setupTestEnvironment(page);
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await utils.chatPanel.openChatPanel(page);
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});
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test('should support replace mindmap with the regenerated one', async ({
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page,
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utils,
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}) => {
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let id: string;
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const { regenerateMindMap } = await utils.editor.askAIWithEdgeless(
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page,
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async () => {
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id = await utils.editor.createMindmap(page);
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},
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async () => {
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const { id: rootId } = await utils.editor.getMindMapNode(page, id!, [
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0,
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]);
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await utils.editor.selectElementInEdgeless(page, [rootId]);
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}
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);
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const { answer } = await regenerateMindMap();
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await expect(answer.locator('mini-mindmap-preview')).toBeVisible();
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const replace = answer.getByTestId('answer-replace');
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await replace.click();
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// Expect original mindmap to be replaced
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const mindmaps = await page.evaluate(() => {
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const edgelessBlock = document.querySelector(
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'affine-edgeless-root'
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) as EdgelessRootBlockComponent;
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const mindmaps = edgelessBlock?.gfx.gfxElements
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.filter((el: GfxModel) => 'type' in el && el.type === 'mindmap')
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.map((el: GfxModel) => el.id);
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return mindmaps;
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});
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expect(mindmaps).toHaveLength(1);
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expect(mindmaps?.[0]).not.toBe(id!);
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});
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});
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