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app-tests-app-config-file: tests/test-values.yaml | ||
app-tests-deploy-namespace: kube-system | ||
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smoke-tests-cluster-type: kind | ||
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upgrade-tests-cluster-type: kind | ||
upgrade-tests-app-catalog-url: https://giantswarm.github.io/giantswarm-catalog | ||
upgrade-tests-app-config-file: tests/test-values.yaml | ||
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skip-steps: [functional] | ||
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# -------- | ||
# Uncomment values below this line to be able to execute app-test-suite against an externally created | ||
# Kubernetes cluster. | ||
# Comment out everything above | ||
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# If you want to create a kind cluster, use the line below | ||
# kind create cluster --config tests/kind-config.yaml --kubeconfig kube.config | ||
# -------- | ||
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# app-tests-app-config-file: tests/test-values.yaml | ||
# app-tests-deploy-namespace: loki | ||
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# upgrade-tests-app-catalog-url: https://giantswarm.github.io/giantswarm-catalog | ||
# upgrade-tests-app-config-file: tests/test-values.yaml | ||
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# skip-steps: [functional, upgrade] | ||
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# smoke-tests-cluster-type: external | ||
# functional-tests-cluster-type: external | ||
# upgrade-tests-cluster-type: external | ||
# external-cluster-kubeconfig-path: kube.config | ||
# external-cluster-type: kind | ||
# external-cluster-version: 1.24.0 | ||
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# app-tests-skip-app-delete: "Yes" |
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orbs: | ||
architect: giantswarm/[email protected] | ||
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jobs: | ||
template-chart: | ||
docker: | ||
- image: giantswarm/helm-chart-testing:v3.11.0 | ||
steps: | ||
- checkout | ||
- run: |- | ||
cd helm/alloy | ||
helm dep up | ||
helm template . | ||
workflows: | ||
package-and-push-chart-on-tag: | ||
jobs: | ||
- template-chart: | ||
name: "template-chart-test" | ||
filters: | ||
branches: | ||
ignore: | ||
- main | ||
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- architect/push-to-app-catalog: | ||
context: architect | ||
executor: app-build-suite | ||
name: package-and-push-chart | ||
app_catalog: giantswarm-catalog | ||
app_catalog_test: giantswarm-test-catalog | ||
chart: "alloy" | ||
persist_chart_archive: true | ||
ct_config: ".circleci/ct-config.yaml" | ||
# Trigger job on git tag. | ||
filters: | ||
tags: | ||
only: /^v.*/ | ||
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- architect/run-tests-with-ats: | ||
name: run-tests-with-ats | ||
requires: | ||
- "package-and-push-chart" | ||
filters: | ||
branches: | ||
ignore: | ||
- main |
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[[source]] | ||
url = "https://pypi.org/simple" | ||
verify_ssl = true | ||
name = "pypi" | ||
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[packages] | ||
pytest-helm-charts = ">=1.0.2" | ||
pytest = ">=6.2.5" | ||
pykube-ng = ">=22.1.0" | ||
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[requires] | ||
python_version = "3.9" |
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[pytest] | ||
markers = | ||
smoke | ||
functional | ||
upgrade |
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import logging | ||
from typing import List, Tuple | ||
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import pytest | ||
import pykube | ||
from pytest_helm_charts.clusters import Cluster | ||
from pytest_helm_charts.k8s.stateful_set import wait_for_stateful_sets_to_run | ||
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logger = logging.getLogger(__name__) | ||
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namespace_name = "kube-system" | ||
statefulset_name = "alloy" | ||
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timeout: int = 900 | ||
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@pytest.mark.smoke | ||
def test_api_working(kube_cluster: Cluster) -> None: | ||
"""Very minimalistic example of using the [kube_cluster](pytest_helm_charts.fixtures.kube_cluster) | ||
fixture to get an instance of [Cluster](pytest_helm_charts.clusters.Cluster) under test | ||
and access its [kube_client](pytest_helm_charts.clusters.Cluster.kube_client) property | ||
to get access to Kubernetes API of cluster under test. | ||
Please refer to [pykube](https://pykube.readthedocs.io/en/latest/api/pykube.html) to get docs | ||
for [HTTPClient](https://pykube.readthedocs.io/en/latest/api/pykube.html#pykube.http.HTTPClient). | ||
""" | ||
assert kube_cluster.kube_client is not None | ||
assert len(pykube.Node.objects(kube_cluster.kube_client)) >= 1 | ||
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# scope "module" means this is run only once, for the first test case requesting! It might be tricky | ||
# if you want to assert this multiple times | ||
# -- Checking that mimir's statefulset is present on the cluster | ||
@pytest.fixture(scope="module") | ||
def components(kube_cluster: Cluster) -> List[pykube.StatefulSet]: | ||
logger.info("Waiting for alloy statefulset component to be deployed..") | ||
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components_ready = wait_for_components(kube_cluster) | ||
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logger.info("alloy component are deployed..") | ||
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return components_ready | ||
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def wait_for_components(kube_cluster: Cluster) -> List[pykube.StatefulSet]: | ||
statefulsets = wait_for_stateful_sets_to_run( | ||
kube_cluster.kube_client, | ||
[statefulset_name], | ||
namespace_name, | ||
timeout, | ||
) | ||
return (statefulsets) | ||
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@pytest.fixture(scope="module") | ||
def pods(kube_cluster: Cluster) -> List[pykube.Pod]: | ||
pods = pykube.Pod.objects(kube_cluster.kube_client) | ||
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pods = pods.filter(namespace=namespace_name, selector={ | ||
'app.kubernetes.io/name': 'alloy', 'app.kubernetes.io/instance': 'alloy'}) | ||
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return pods | ||
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# when we start the tests on circleci, we have to wait for pods to be available, hence | ||
# this additional delay and retries | ||
# -- Checking that all pods from alloy's statefulset are available (i.e in "Ready" state) | ||
@pytest.mark.smoke | ||
@pytest.mark.upgrade | ||
@pytest.mark.flaky(reruns=5, reruns_delay=10) | ||
def test_pods_available(components: List[pykube.StatefulSet]): | ||
# loop over the list of deployments | ||
for d in components: | ||
assert int(d.obj["status"]["readyReplicas"]) == int(d.obj["spec"]["replicas"]) |
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alloy: | ||
alloy: | ||
controller: | ||
type: statefulset |