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UI visual regression testing to cover UI widgets visibility
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Ygnas committed Sep 18, 2024
1 parent fb59ba6 commit 875268d
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112 changes: 112 additions & 0 deletions .github/workflows/ui_notebooks_test.yaml
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name: UI notebooks tests

on: [pull_request]

concurrency:
group: ${{ github.head_ref }}-${{ github.workflow }}
cancel-in-progress: true

env:
CODEFLARE_OPERATOR_IMG: "quay.io/project-codeflare/codeflare-operator:dev"

jobs:
verify-0_basic_ray:
runs-on: ubuntu-20.04-4core

steps:
- name: Checkout code
uses: actions/checkout@v4
with:
submodules: recursive

- name: Checkout common repo code
uses: actions/checkout@v4
with:
repository: "project-codeflare/codeflare-common"
ref: "main"
path: "common"

- name: Checkout CodeFlare operator repository
uses: actions/checkout@v4
with:
repository: project-codeflare/codeflare-operator
path: codeflare-operator

- name: Set Go
uses: actions/setup-go@v5
with:
go-version-file: "./codeflare-operator/go.mod"
cache-dependency-path: "./codeflare-operator/go.sum"

- name: Set up gotestfmt
uses: gotesttools/gotestfmt-action@v2
with:
token: ${{ secrets.GITHUB_TOKEN }}

- name: Set up specific Python version
uses: actions/setup-python@v5
with:
python-version: "3.9"
cache: "pip" # caching pip dependencies

- name: Setup and start KinD cluster
uses: ./common/github-actions/kind

- name: Deploy CodeFlare stack
id: deploy
run: |
cd codeflare-operator
echo Setting up CodeFlare stack
make setup-e2e
echo Deploying CodeFlare operator
make deploy -e IMG="${CODEFLARE_OPERATOR_IMG}" -e ENV="e2e"
kubectl wait --timeout=120s --for=condition=Available=true deployment -n openshift-operators codeflare-operator-manager
cd ..
- name: Setup Guided notebooks execution
run: |
echo "Installing papermill and dependencies..."
pip install poetry ipython ipykernel
poetry config virtualenvs.create false
echo "Installing SDK..."
poetry install --with test,docs
- name: Install Yarn dependencies
run: |
poetry run yarn install
poetry run yarn playwright install chromium
working-directory: ui-tests

- name: Run UI notebook tests
run: |
set -euo pipefail
poetry run yarn test
working-directory: ui-tests

- name: Print CodeFlare operator logs
if: always() && steps.deploy.outcome == 'success'
run: |
echo "Printing CodeFlare operator logs"
kubectl logs -n openshift-operators --tail -1 -l app.kubernetes.io/name=codeflare-operator | tee ${CODEFLARE_TEST_OUTPUT_DIR}/codeflare-operator.log
- name: Print KubeRay operator logs
if: always() && steps.deploy.outcome == 'success'
run: |
echo "Printing KubeRay operator logs"
kubectl logs -n ray-system --tail -1 -l app.kubernetes.io/name=kuberay | tee ${CODEFLARE_TEST_OUTPUT_DIR}/kuberay.log
- name: Upload Playwright Test assets
if: always()
uses: actions/upload-artifact@v4
with:
name: ipywidgets-test-assets
path: |
ui-tests/test-results
- name: Upload Playwright Test report
if: always()
uses: actions/upload-artifact@v4
with:
name: ipywidgets-test-report
path: |
ui-tests/playwright-report
4 changes: 4 additions & 0 deletions .gitignore
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Expand Up @@ -8,3 +8,7 @@ Pipfile.lock
build/
tls-cluster-namespace
quicktest.yaml
node_modules
.DS_Store
ui-tests/playwright-report
ui-tests/test-results
1 change: 1 addition & 0 deletions pyproject.toml
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Expand Up @@ -48,6 +48,7 @@ pytest = "7.4.0"
coverage = "7.2.7"
pytest-mock = "3.11.1"
pytest-timeout = "2.3.1"
jupyterlab = "4.2.5"

[tool.pytest.ini_options]
filterwarnings = [
Expand Down
4 changes: 4 additions & 0 deletions ui-tests/.yarnrc
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disable-self-update-check true
ignore-optional true
network-timeout "300000"
registry "https://registry.npmjs.org/"
6 changes: 6 additions & 0 deletions ui-tests/jupyter_server_config.py
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from jupyterlab.galata import configure_jupyter_server

configure_jupyter_server(c)

# Uncomment to set server log level to debug level
# c.ServerApp.log_level = "DEBUG"
22 changes: 22 additions & 0 deletions ui-tests/package.json
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{
"name": "@jupyter-widgets/ui-tests",
"private": true,
"version": "0.1.0",
"description": "ipywidgets UI Tests",
"scripts": {
"start": "jupyter lab --config ./jupyter_server_config.py",
"start:detached": "jlpm start&",
"test": "npx playwright test",
"test:debug": "PWDEBUG=1 npx playwright test",
"test:report": "http-server ./playwright-report -a localhost -o",
"test:update": "npx playwright test --update-snapshots",
"deduplicate": "jlpm && yarn-deduplicate -s fewer --fail"
},
"author": "Project Jupyter",
"license": "BSD-3-Clause",
"devDependencies": {
"@jupyterlab/galata": "^5.0.1",
"@playwright/test": "^1.32.0",
"yarn-deduplicate": "^6.0.1"
}
}
13 changes: 13 additions & 0 deletions ui-tests/playwright.config.js
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const baseConfig = require('@jupyterlab/galata/lib/playwright-config');

module.exports = {
...baseConfig,
timeout: 240000,
webServer: {
command: 'yarn start',
url: 'http://localhost:8888/lab',
timeout: 120 * 1000,
reuseExistingServer: !process.env.CI,
},
retries: 0,
};
52 changes: 52 additions & 0 deletions ui-tests/tests/0_basic_ray.test.ts
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// Copyright (c) Jupyter Development Team.
// Distributed under the terms of the Modified BSD License.

import { test } from "@jupyterlab/galata";
import { expect } from "@playwright/test";
import * as path from "path";

test.setTimeout(460000);

test.describe("Visual Regression", () => {
test.beforeEach(async ({ page, tmpPath }) => {
await page.contents.uploadDirectory(
path.resolve(__dirname, "./notebooks"),
tmpPath
);
await page.filebrowser.openDirectory(tmpPath);
});

test("Run notebook 0_basic_ray.ipynb and capture cell outputs", async ({
page,
tmpPath,
}) => {
const notebook = "0_basic_ray.ipynb";
await page.notebook.openByPath(`${tmpPath}/${notebook}`);
await page.notebook.activate(notebook);

const captures: (Buffer | null)[] = []; // Array to store cell screenshots
const cellCount = await page.notebook.getCellCount();

// Run all cells and capture their screenshots
await page.notebook.runCellByCell({
onAfterCellRun: async (cellIndex: number) => {
const cell = await page.notebook.getCellOutput(cellIndex);
if (cell && (await cell.isVisible())) {
captures[cellIndex] = await cell.screenshot(); // Save the screenshot by cell index
}
},
});

await page.notebook.save();

// Ensure that each cell's screenshot is captured
for (let i = 0; i < cellCount; i++) {
const image = `widgets-cell-${i}.png`;

if (captures[i]) {
expect.soft(captures[i]).toMatchSnapshot(image); // Compare pre-existing capture
continue;
}
}
});
});
117 changes: 117 additions & 0 deletions ui-tests/tests/notebooks/0_basic_ray.ipynb
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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"id": "b55bc3ea-4ce3-49bf-bb1f-e209de8ca47a",
"metadata": {},
"outputs": [],
"source": [
"# Import pieces from codeflare-sdk\n",
"from codeflare_sdk import Cluster, ClusterConfiguration, TokenAuthentication"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0f4bc870-091f-4e11-9642-cba145710159",
"metadata": {},
"outputs": [],
"source": [
"# Create and configure our cluster object\n",
"# The SDK will try to find the name of your default local queue based on the annotation \"kueue.x-k8s.io/default-queue\": \"true\" unless you specify the local queue manually below\n",
"cluster = Cluster(ClusterConfiguration(\n",
" name='raytest',\n",
" namespace='default',\n",
" head_cpus='500m',\n",
" head_memory=2,\n",
" head_gpus=0, # For GPU enabled workloads set the head_gpus and num_gpus\n",
" num_gpus=0,\n",
" num_workers=2,\n",
" min_cpus='250m',\n",
" max_cpus=1,\n",
" min_memory=1,\n",
" max_memory=2,\n",
" # image=\"\", # Optional Field \n",
" write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n",
" # local_queue=\"local-queue-name\" # Specify the local queue manually\n",
"))"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f0884bbc-c224-4ca0-98a0-02dfa09c2200",
"metadata": {},
"outputs": [],
"source": [
"# Bring up the cluster\n",
"cluster.up()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0d513912",
"metadata": {},
"outputs": [],
"source": [
"cluster.wait_ready()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0ce99d84",
"metadata": {},
"outputs": [],
"source": [
"cluster.status()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1767a342",
"metadata": {},
"outputs": [],
"source": [
"cluster.down()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "7e9152ce",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.19"
},
"vscode": {
"interpreter": {
"hash": "f9f85f796d01129d0dd105a088854619f454435301f6ffec2fea96ecbd9be4ac"
}
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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