Pypi: openshift-python-wrapper
A python wrapper for openshift-restclient-python with support for RedHat Container Virtualization. (Openshift Virtualization)
Docs: openshift-python-wrapper docs

From source:

git clone https://github.com/RedHatQE/openshift-python-wrapper.git
cd openshift-python-wrapper
python setup.py install --user

From pypi:

pip install openshift-python-wrapper --user

• gh github cli

gh auth login # Follow login instructions

• npm

sudo npm install github-release-notes -g

• export GREN_GITHUB_TOKEN=< TOKEN >
• Run ./scripts/release.sh providing source branch and target version (must be executed from master branch)

./scripts/release.sh master v1.5.5

Hosted on readthedocs.io

## PR dependency
For PR dependency we use [dpulls](https://www.dpulls.com/)  
To make PR depends on other PR add `depends on #<PR NUMBER>` in the PR description.

## Examples
### Client
```python
client = DynamicClient(client=kubernetes.config.new_client_from_config())

The examples given below are relevant to all resources. For simplicity we will use the resource - Namespace.

Import Namespace:

from resources.namespace import Namespace

Create a Namespace:

ns = Namespace(name="namespace-example-1")
ns.create()

Will return True if creation succeeded.

We can also use the with statement which ensures automatic clean-up of the code executed:

with Namespace(name="namespace-example-2") as ns:
    yield ns

teardown=False - Disables clean-up after execution.

Wait for Namespace to be in status Active:

ns.wait_for_status(status=Namespace.Status.ACTIVE, timeout=120)

Will raise a TimeoutExpiredError if Namespace is not in the desired status.

Delete the Namespace

ns.delete()

Will return False if not found.

Checks if Namespace exists on the server:

ns.exists

Will return None if not found.

Query to get Pods (resource) in the connected cluster with label of label_example=example. Returns a generator of the resource - pod

for pod in Pod.get(dyn_client=client, label_selector="label_example=example")):
    pod.log()

We can also get the name of the Node that the pod is running on:

pod.node.name

Start:

with VirtualMachine(
    name="vm-example",
    namespace="namespace-example",
    node_selector="worker-node-example",
) as vm:
    vm.start()

Stop:

vm.stop()

Restart:

vm.restart()

Get VMI:

test_vmi = vm.vmi

After having a VMI, we can wait until VMI is in running state:

test_vmi.wait_until_running()

Will raise TimeoutExpiredError if VMI failed to run.

Then, we can get the Pod that is in Running state and execute a command on it:

command_output = test_vmi.virt_launcher_pod.execute(command="command-example")

If no Pod was found, will raise ResourceNotFoundError.

We use pre-commit for code check.

pre-commit install