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https://github.com/open-metadata/OpenMetadata.git
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d49b841d56
* fix tag spec flakiness * fix test * fix xustom property flaky test * fix tags spec * fix tag flakiness * fix test * fix flakiness * fix flaky test * fix test flakiness * update test * fix flkay tests * fix test * update test * fix flkay test --------- Co-authored-by: Shailesh Parmar <shailesh.parmar.webdev@gmail.com>
71 lines
3.2 KiB
TypeScript
71 lines
3.2 KiB
TypeScript
/*
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* Copyright 2025 Collate.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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* http://www.apache.org/licenses/LICENSE-2.0
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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import test, { expect } from '@playwright/test';
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import { SidebarItem } from '../../constant/sidebar';
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import { redirectToHomePage } from '../../utils/common';
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import { sidebarClick } from '../../utils/sidebar';
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const DESCRIPTION_SEARCH =
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// eslint-disable-next-line max-len
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'The dimension table contains data about your customers. The customers table contains one row per customer. It includes historical metrics (such as the total amount that each customer has spent in your store) as well as forward-looking metrics (such as the predicted number of days between future orders and the expected order value in the next 30 days). This table also includes columns that segment customers into various categories (such as new, returning, promising, at risk, dormant, and loyal), which you can use to target marketing activities.The dimension table contains data about your customers. The customers table contains one row per customer. It includes historical metrics (such as the total amount that each customer has spent in your store) as well as forward-looking metrics (such as the predicted number of days between future orders and the expected order value in the next 30 days). This table also includes columns that segment customers into various categories (such as new, returning, promising, at risk, dormant, and loyal), which you can use to target marketing activities.';
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// use the admin user to login
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test.use({ storageState: 'playwright/.auth/admin.json' });
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test('searching for longer description should work', async ({ page }) => {
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await redirectToHomePage(page);
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await sidebarClick(page, SidebarItem.EXPLORE);
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await page.waitForLoadState('networkidle');
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await page.getByTestId('global-search-selector').click();
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await page.getByTestId('global-search-select-option-Table').click();
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await page
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.getByTestId('navbar-search-container')
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.getByTestId('searchBox')
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.fill(DESCRIPTION_SEARCH);
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await page.keyboard.press('Enter');
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await page.waitForSelector(
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'[data-testid="search-container"] [data-testid="loader"]',
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{
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state: 'detached',
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}
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);
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await page.waitForSelector('[data-testid="search-results"]', {
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state: 'visible',
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});
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await expect(
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page
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.getByTestId('search-results')
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.getByTestId(
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'table-data-card_sample_data.ecommerce_db.shopify.dim_customer'
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)
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).toBeVisible();
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expect(
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page
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.getByTestId('search-results')
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.getByTestId(
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'table-data-card_sample_data.ecommerce_db.shopify.dim_customer'
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)
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.getByTestId('entity-link')
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).toHaveText('dim_customer');
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expect(page.getByTestId('alert-bar')).not.toBeVisible();
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});
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