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UI visual regression testing to cover UI widgets visibility
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name: UI notebooks tests | ||
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on: [pull_request] | ||
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concurrency: | ||
group: ${{ github.head_ref }}-${{ github.workflow }} | ||
cancel-in-progress: true | ||
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env: | ||
CODEFLARE_OPERATOR_IMG: "quay.io/project-codeflare/codeflare-operator:dev" | ||
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jobs: | ||
verify-0_basic_ray: | ||
runs-on: ubuntu-20.04-4core | ||
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steps: | ||
- name: Checkout code | ||
uses: actions/checkout@v4 | ||
with: | ||
submodules: recursive | ||
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- name: Checkout common repo code | ||
uses: actions/checkout@v4 | ||
with: | ||
repository: "project-codeflare/codeflare-common" | ||
ref: "main" | ||
path: "common" | ||
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- name: Checkout CodeFlare operator repository | ||
uses: actions/checkout@v4 | ||
with: | ||
repository: project-codeflare/codeflare-operator | ||
path: codeflare-operator | ||
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- name: Set Go | ||
uses: actions/setup-go@v5 | ||
with: | ||
go-version-file: "./codeflare-operator/go.mod" | ||
cache-dependency-path: "./codeflare-operator/go.sum" | ||
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- name: Set up gotestfmt | ||
uses: gotesttools/gotestfmt-action@v2 | ||
with: | ||
token: ${{ secrets.GITHUB_TOKEN }} | ||
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- name: Set up specific Python version | ||
uses: actions/setup-python@v5 | ||
with: | ||
python-version: "3.9" | ||
cache: "pip" # caching pip dependencies | ||
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- name: Setup and start KinD cluster | ||
uses: ./common/github-actions/kind | ||
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- name: Deploy CodeFlare stack | ||
id: deploy | ||
run: | | ||
cd codeflare-operator | ||
echo Setting up CodeFlare stack | ||
make setup-e2e | ||
echo Deploying CodeFlare operator | ||
make deploy -e IMG="${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 | ||
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- name: Fix widget_notebook_example.ipynb notebook for test | ||
run: | | ||
# Remove login/logout cells, as KinD doesn't support authentication using token | ||
jq -r 'del(.cells[] | select(.source[] | contains("Create authentication object for user permissions")))' widget_notebook_example.ipynb > widget_notebook_example.ipynb.tmp && mv widget_notebook_example.ipynb.tmp widget_notebook_example.ipynb | ||
jq -r 'del(.cells[] | select(.source[] | contains("auth.logout()")))' widget_notebook_example.ipynb > widget_notebook_example.ipynb.tmp && mv widget_notebook_example.ipynb.tmp widget_notebook_example.ipynb | ||
# Set explicit namespace as SDK need it (currently) to resolve local queues | ||
sed -i "s/head_memory_limits=2,/head_memory_limits=2, namespace='default',/" widget_notebook_example.ipynb | ||
working-directory: demo-notebooks/guided-demos | ||
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- name: Run UI notebook tests | ||
run: | | ||
set -euo pipefail | ||
poetry run yarn test | ||
working-directory: ui-tests | ||
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- 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 |
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212
demo-notebooks/guided-demos/widget_notebook_example.ipynb
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"id": "8d4a42f6", | ||
"metadata": {}, | ||
"source": [ | ||
"In this notebook, we will go through the basics of using the SDK to:\n", | ||
" - Spin up a Ray cluster with our desired resources\n", | ||
" - View the status and specs of our Ray cluster\n", | ||
" - Take down the Ray cluster when finished" | ||
] | ||
}, | ||
{ | ||
"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": "614daa0c", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"# Create authentication object for user permissions\n", | ||
"# IF unused, SDK will automatically check for default kubeconfig, then in-cluster config\n", | ||
"# KubeConfigFileAuthentication can also be used to specify kubeconfig path manually\n", | ||
"auth = TokenAuthentication(\n", | ||
" token = \"XXXXX\",\n", | ||
" server = \"XXXXX\",\n", | ||
" skip_tls=False\n", | ||
")\n", | ||
"auth.login()" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "bc27f84c", | ||
"metadata": {}, | ||
"source": [ | ||
"Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding RayCluster).\n", | ||
"\n", | ||
"NOTE: 'quay.io/modh/ray:2.35.0-py39-cu121' is the default image used by the CodeFlare SDK for creating a RayCluster resource. \n", | ||
"If you have your own Ray image which suits your purposes, specify it in image field to override the default image." | ||
] | ||
}, | ||
{ | ||
"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", | ||
" head_cpu_requests='500m',\n", | ||
" head_cpu_limits='500m',\n", | ||
" head_memory_requests=2,\n", | ||
" head_memory_limits=2,\n", | ||
" head_extended_resource_requests={'nvidia.com/gpu':0}, # For GPU enabled workloads set the head_extended_resource_requests and worker_extended_resource_requests\n", | ||
" worker_extended_resource_requests={'nvidia.com/gpu':0},\n", | ||
" num_workers=2,\n", | ||
" worker_cpu_requests='250m',\n", | ||
" worker_cpu_limits=1,\n", | ||
" worker_memory_requests=4,\n", | ||
" worker_memory_limits=4,\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": "markdown", | ||
"id": "12eef53c", | ||
"metadata": {}, | ||
"source": [ | ||
"Next, we want to bring our cluster up, so we call the `up()` function below to submit our Ray Cluster onto the queue, and begin the process of obtaining our resource cluster." | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "f0884bbc-c224-4ca0-98a0-02dfa09c2200", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"# Bring up the cluster\n", | ||
"cluster.up()" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "657ebdfb", | ||
"metadata": {}, | ||
"source": [ | ||
"Now, we want to check on the status of our resource cluster, and wait until it is finally ready for use." | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "3c1b4311-2e61-44c9-8225-87c2db11363d", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"cluster.status()" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "a99d5aff", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"cluster.wait_ready()" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "df71c1ed", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"cluster.status()" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "b3a55fe4", | ||
"metadata": {}, | ||
"source": [ | ||
"Let's quickly verify that the specs of the cluster are as expected." | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "7fd45bc5-03c0-4ae5-9ec5-dd1c30f1a084", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"cluster.details()" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "5af8cd32", | ||
"metadata": {}, | ||
"source": [ | ||
"Finally, we bring our resource cluster down and release/terminate the associated resources, bringing everything back to the way it was before our cluster was brought up." | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "5f36db0f-31f6-4373-9503-dc3c1c4c3f57", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"cluster.down()" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "0d41b90e", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"auth.logout()" | ||
] | ||
} | ||
], | ||
"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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