System Tests Open Source #8043
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# Copyright 2023 Iguazio | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, | |
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
# See the License for the specific language governing permissions and | |
# limitations under the License. | |
# | |
name: System Tests Open Source | |
on: | |
push: | |
branches: | |
- '.+-system-tests' | |
schedule: | |
# * is a special character in YAML so you have to quote this string | |
# Run the system tests every 3 hours | |
- cron: '0 */3 * * *' | |
workflow_dispatch: | |
inputs: | |
docker_registry: | |
description: 'Docker registry to pull images from (default: ghcr.io/, use registry.hub.docker.com/ for docker hub)' | |
required: true | |
default: 'ghcr.io/' | |
docker_repo: | |
description: 'Docker repo to pull images from (default: mlrun)' | |
required: true | |
default: 'mlrun' | |
clean_resources_in_teardown: | |
description: 'Clean resources created by test (like project) in each test teardown (default: true - perform clean)' | |
required: true | |
default: 'true' | |
type: choice | |
options: | |
- 'true' | |
- 'false' | |
debug_enabled: | |
description: 'Run the build with tmate debugging enabled (https://github.com/marketplace/actions/debugging-with-tmate)' | |
required: false | |
default: 'false' | |
type: choice | |
options: | |
- 'true' | |
- 'false' | |
env: | |
NAMESPACE: mlrun | |
MLRUN_API_NODE_PORT: 30070 | |
jobs: | |
run-system-tests-opensource-ci: | |
name: Run System Tests Open Source | |
runs-on: ubuntu-latest | |
# let's not run this on every fork, change to your fork when developing | |
if: github.repository == 'mlrun/mlrun' || github.event_name == 'workflow_dispatch' | |
steps: | |
- uses: actions/checkout@v3 | |
# since github-actions gives us 14G only, and fills it up with some garbage | |
- name: Freeing up disk space | |
run: | | |
"${GITHUB_WORKSPACE}/automation/scripts/github_workflow_free_space.sh" | |
- name: Set up python | |
uses: actions/setup-python@v4 | |
with: | |
python-version: 3.9 | |
cache: pip | |
- name: Install automation scripts dependencies and add mlrun to dev packages | |
run: | | |
pip install \ | |
-r automation/requirements.txt \ | |
-r dockerfiles/mlrun-api/requirements.txt \ | |
-r dev-requirements.txt \ | |
-r extras-requirements.txt \ | |
&& pip install -e . | |
sudo apt-get install curl jq | |
# TODO: How can we avoid these duplicate lines from the enterprise system tests | |
- name: Extract git branch | |
id: git_info | |
run: | | |
echo "branch=$(echo ${GITHUB_REF#refs/heads/})" >> $GITHUB_OUTPUT | |
- name: Extract git hashes from upstream and latest version | |
id: git_upstream_info | |
run: | | |
echo "mlrun_hash=$( \ | |
cd /tmp && \ | |
git clone --single-branch --branch development https://github.com/mlrun/mlrun.git mlrun-upstream 2> /dev/null && \ | |
cd mlrun-upstream && \ | |
git rev-list --until="1 hour ago" --max-count 1 --abbrev-commit HEAD && \ | |
cd .. && \ | |
rm -rf mlrun-upstream)" >> $GITHUB_OUTPUT | |
echo "ui_hash=$( \ | |
cd /tmp && \ | |
git clone --single-branch --branch development https://github.com/mlrun/ui.git mlrun-ui 2> /dev/null && \ | |
cd mlrun-ui && \ | |
git rev-list --until="1 hour ago" --max-count 1 --abbrev-commit HEAD && \ | |
cd .. && \ | |
rm -rf mlrun-ui)" >> $GITHUB_OUTPUT | |
echo "unstable_version_prefix=$(cat automation/version/unstable_version_prefix)" >> $GITHUB_OUTPUT | |
- name: Set computed versions params | |
id: computed_params | |
run: | | |
action_mlrun_hash=${{ steps.git_action_info.outputs.mlrun_hash }} && \ | |
upstream_mlrun_hash=${{ steps.git_upstream_info.outputs.mlrun_hash }} && \ | |
export mlrun_hash=${action_mlrun_hash:-`echo $upstream_mlrun_hash`} | |
echo "mlrun_hash=$(echo $mlrun_hash)" >> $GITHUB_OUTPUT | |
action_mlrun_ui_hash=${{ steps.git_action_ui_info.outputs.ui_hash }} && \ | |
upstream_mlrun_ui_hash=${{ steps.git_upstream_info.outputs.ui_hash }} && \ | |
export ui_hash=${action_mlrun_ui_hash:-`echo $upstream_mlrun_ui_hash`} | |
echo "ui_hash=$(echo $ui_hash)" >> $GITHUB_OUTPUT | |
echo "mlrun_version=$(echo ${{ steps.git_upstream_info.outputs.unstable_version_prefix }}+$mlrun_hash)" >> $GITHUB_OUTPUT | |
echo "mlrun_docker_tag=$(echo ${{ steps.git_upstream_info.outputs.unstable_version_prefix }}-$mlrun_hash)" >> $GITHUB_OUTPUT | |
echo "mlrun_ui_version=${{ steps.git_upstream_info.outputs.unstable_version_prefix }}-$ui_hash" >> $GITHUB_OUTPUT | |
echo "mlrun_docker_repo=$( \ | |
input_docker_repo=$INPUT_DOCKER_REPO && \ | |
echo ${input_docker_repo:-mlrun})" >> $GITHUB_OUTPUT | |
echo "mlrun_docker_registry=$( \ | |
input_docker_registry=$INPUT_DOCKER_REGISTRY && \ | |
echo ${input_docker_registry:-ghcr.io/})" >> $GITHUB_OUTPUT | |
echo "mlrun_system_tests_clean_resources=$( \ | |
input_system_tests_clean_resources=$INPUT_CLEAN_RESOURCES_IN_TEARDOWN && \ | |
echo ${input_system_tests_clean_resources:-true})" >> $GITHUB_OUTPUT | |
env: | |
INPUT_DOCKER_REPO: ${{ github.event.inputs.docker_repo }} | |
INPUT_DOCKER_REGISTRY: ${{ github.event.inputs.docker_registry }} | |
INPUT_CLEAN_RESOURCES_IN_TEARDOWN: ${{ github.event.inputs.clean_resources_in_teardown }} | |
- uses: azure/setup-helm@v3 | |
with: | |
version: "v3.9.1" | |
- uses: manusa/actions-setup-minikube@v2.10.0 | |
with: | |
minikube version: "v1.32.0" | |
kubernetes version: "v1.28.5" | |
driver: docker | |
github token: ${{ github.token }} | |
# I couldn't find a way to configure the IP (https://github.com/kubernetes/minikube/issues/951) | |
# but this seems to work | |
start args: '--addons=registry --insecure-registry="192.168.49.2:5000"' | |
- name: Install MLRun CE helm chart | |
run: | | |
# TODO: There is a modification to the helm chart that we are doing right now: | |
# The mlrun DB is set as the old SQLite db. There is a bug in github workers when trying to run a mysql | |
# server pod in minikube installed on the worker, the mysql pod crashes. There isn't much information | |
# about this issue online as this isn't how github expect you to use mysql in workflows - the worker | |
# has a mysql server installed directly on it and should be enabled and used as the DB. So we might | |
# want in the future to use that instead, unless the mysql will be able to come up without crashing. | |
# | |
# TODO: Align the mlrun config env vars with the ones in the prepare.py script to avoid further inconsistencies. | |
python automation/deployment/ce.py deploy \ | |
--verbose \ | |
--minikube \ | |
--namespace=${NAMESPACE} \ | |
--registry-secret-name="" \ | |
--sqlite /mlrun/db/mlrun.db \ | |
--override-mlrun-api-image="${{ steps.computed_params.outputs.mlrun_docker_registry }}${{ steps.computed_params.outputs.mlrun_docker_repo }}/mlrun-api:${{ steps.computed_params.outputs.mlrun_docker_tag }}" \ | |
--override-mlrun-log-collector-image="${{ steps.computed_params.outputs.mlrun_docker_registry }}${{ steps.computed_params.outputs.mlrun_docker_repo }}/log-collector:${{ steps.computed_params.outputs.mlrun_docker_tag }}" \ | |
--override-mlrun-ui-image="ghcr.io/mlrun/mlrun-ui:${{ steps.computed_params.outputs.mlrun_ui_version }}" \ | |
--set 'mlrun.api.extraEnvKeyValue.MLRUN_HTTPDB__BUILDER__MLRUN_VERSION_SPECIFIER="mlrun[complete] @ git+https://github.com/mlrun/mlrun@${{ steps.computed_params.outputs.mlrun_hash }}"' \ | |
--set mlrun.api.extraEnvKeyValue.MLRUN_IMAGES_REGISTRY="${{ steps.computed_params.outputs.mlrun_docker_registry }}" \ | |
--set mlrun.api.extraEnvKeyValue.MLRUN_LOG_LEVEL="DEBUG" \ | |
--set 'mlrun.api.extraEnvKeyValue.MLRUN_HTTPDB__SCHEDULING__MIN_ALLOWED_INTERVAL="0 seconds"' \ | |
--set mlrun.api.extraEnvKeyValue.MLRUN_MODEL_ENDPOINT_MONITORING__PARQUET_BATCHING_MAX_EVENTS="100" | |
- name: Prepare system tests env | |
run: | | |
python automation/system_test/prepare.py env \ | |
--mlrun-dbpath "http://$(minikube ip):${MLRUN_API_NODE_PORT}" \ | |
--github-access-token "${{ secrets.SYSTEM_TEST_GITHUB_ACCESS_TOKEN }}" | |
# Enable tmate debugging of manually-triggered workflows if the input option was provided | |
- name: Setup tmate session | |
uses: mxschmitt/action-tmate@v3 | |
if: ${{ github.event_name == 'workflow_dispatch' && github.event.inputs.debug_enabled == 'true' }} | |
with: | |
# run in detach mode to allow the workflow to continue running while session is active | |
# this will wait up to 10 minutes AFTER the entire job is done. Once user connects to the session, | |
# it will wait until the user disconnects before finishing up the job. | |
detached: true | |
- name: Run system tests | |
timeout-minutes: 180 | |
run: | | |
MLRUN_SYSTEM_TESTS_CLEAN_RESOURCES="${{ steps.computed_params.outputs.mlrun_system_tests_clean_resources }}" \ | |
MLRUN_VERSION="${{ steps.computed_params.outputs.mlrun_version }}" \ | |
make test-system-open-source | |
- name: Output some logs in case of failure | |
if: ${{ failure() }} | |
# add set -x to print commands before executing to make logs reading easier | |
run: | | |
set -x | |
minikube ip | |
minikube logs | |
minikube kubectl -- --namespace ${NAMESPACE} logs -l app.kubernetes.io/component=api,app.kubernetes.io/name=mlrun --tail=-1 | |
minikube kubectl -- --namespace ${NAMESPACE} get all | |
minikube kubectl -- --namespace ${NAMESPACE} get all -o yaml | |
minikube kubectl -- --namespace ${NAMESPACE} describe pods | |
minikube kubectl -- --namespace ${NAMESPACE} get cm | |
minikube kubectl -- --namespace ${NAMESPACE} get cm -o yaml | |
minikube kubectl -- --namespace ${NAMESPACE} get secrets | |
minikube kubectl -- --namespace ${NAMESPACE} get secrets -o yaml | |
minikube kubectl -- --namespace ${NAMESPACE} get pvc | |
minikube kubectl -- --namespace ${NAMESPACE} get pv | |
set +x |