Python client for the Kubernetes and OpenShift APIs.
There are two ways this project interacts with the Kubernets and OpenShift APIs. The first, now deprecated, is to use models and functions generated with swagger from the API spec. The second, new approach, is to use a single model and client to generically interact with all resources on the server. The dynamic client also works with resources that are defined by aggregated API servers or Custom Resource Definitions.
- Installation
- Usage
- Examples
- Available Methods for Resources
- Community, Support, Discussion
- Code of Conduct
From source:
git clone https://github.com/openshift/openshift-restclient-python.git
cd openshift-restclient-python
python setup.py install
From PyPi directly:
pip install openshift
Using Dockerfile:
docker build -t openshift-restclient-python -f Dockerfile .
The OpenShift client depends on the Kubernetes Python client, and as part of the installation process, the Kubernetes (K8s) client is automatically installed.
In the case you are using Docker, you will likely need to share your
.kube/config
with the openshift-restclient-python
container:
docker run -it -v $HOME/.kube/config:/root/.kube/config:z openshift-restclient-python python
To work with the dynamic client, you will need an instantiated Kubernetes
client object. The Kubernetes client object requires a Kubernetes Config
that can be set in the Config
class
or using a helper utility. All of the examples that follow make use of the
new_client_from_config()
helper utility provided by the Kubernetes Client
Config
that returns an API client to be used with any API object.
There are plenty of Kubernetes Client
examples to
examine other ways of accessing Kubernetes Clusters.
import yaml
from kubernetes import client, config
from openshift.dynamic import DynamicClient
k8s_client = config.new_client_from_config()
dyn_client = DynamicClient(k8s_client)
v1_services = dyn_client.resources.get(api_version='v1', kind='Service')
service = """
kind: Service
apiVersion: v1
metadata:
name: my-service
spec:
selector:
app: MyApp
ports:
- protocol: TCP
port: 8080
targetPort: 9376
"""
service_data = yaml.load(service)
resp = v1_services.create(body=service_data, namespace='default')
# resp is a ResourceInstance object
print(resp.metadata)
Now, we create a Route object, and associate it with the Service from our previous example:
import yaml
from kubernetes import client, config
from openshift.dynamic import DynamicClient
k8s_client = config.new_client_from_config()
dyn_client = DynamicClient(k8s_client)
v1_routes = dyn_client.resources.get(api_version='route.openshift.io/v1', kind='Route')
route = """
apiVersion: route.openshift.io/v1
kind: Route
metadata:
name: frontend
spec:
host: www.example.com
to:
kind: Service
name: my-service
"""
route_data = yaml.load(route)
resp = v1_routes.create(body=route_data, namespace='default')
# resp is a ResourceInstance object
print(resp.metadata)
The following uses the dynamic client to list Projects the user can access:
from kubernetes import client, config
from openshift.dynamic import DynamicClient
k8s_client = config.new_client_from_config()
dyn_client = DynamicClient(k8s_client)
v1_projects = dyn_client.resources.get(api_version='project.openshift.io/v1', kind='Project')
project_list = v1_projects.get()
for project in project_list.items:
print(project.metadata.name)
In the following example, we first create a Custom
Resource Definition for foos.bar.com
, then create an Foo
resource,
and finally get a list of Foo
resources:
import yaml
from kubernetes import client, config
from openshift.dynamic import DynamicClient
k8s_client = config.new_client_from_config()
dyn_client = DynamicClient(k8s_client)
custom_resources = dyn_client.resources.get(
api_version='apiextensions.k8s.io/v1beta1',
kind='CustomResourceDefinition'
)
# Define the Foo Resource
foo_crd = """
kind: CustomResourceDefinition
apiVersion: apiextensions.k8s.io/v1beta1
metadata:
name: foos.bar.com
spec:
group: bar.com
names:
kind: Foo
listKind: FooList
plural: foos
shortNames:
- foo
singular: foo
scope: Namespaced
version: v1beta1
"""
custom_resources.create(body=yaml.load(foo_crd))
foo_resources = None
while not foo_resources:
try:
# Notice the re-instantiation of the dynamic client as a new resource has been created.
dyn_client = DynamicClient(k8s_client)
foo_resources = dyn_client.resources.get(api_version='bar.com/v1beta1', kind='Foo')
except:
pass
# Create the Foo Resource
foo_resource_cr = """
kind: Foo
apiVersion: bar.com/v1beta1
metadata:
name: example-foo
namespace: default
spec:
version: 1
"""
foo_resources.create(body=yaml.load(foo_resource_cr))
for item in foo_resources.get().items:
print(item.metadata.name)
The generic Resource class supports the following methods, though every resource kind does not support every method.
get(name=None, namespace=None, label_selector=None, field_selector=None, **kwargs)
Query for a resource in the cluster. Will return a ResourceInstance
object or raise a NotFoundError
v1_services = dyn_client.resources.get(api_version='v1', kind='Service')
# Gets the specific Service named 'example' from the 'test' namespace
v1_services.get(name='example', namespace='test')
# Lists all Services in the 'test' namespace
v1_services.get(namespace='test')
# Lists all Services in the cluster (requires high permission level)
v1_services.get()
# Gets all Services in the 'test' namespace with the 'app' label set to 'foo'
v1_services.get(namespace='test', label_selector='app=foo')
# Gets all Services except for those in the 'default' namespace
v1_services.get(field_selector='metadata.namespace!=default')
get(body=None, namespace=None, **kwargs)
Query for a resource in the cluster. Will return a ResourceInstance
object or raise a NotFoundError
For List kind resources (ie, the resource name ends in List
), the get
implementation is slightly different.
Rather than taking a name, they take a *List
kind definition and call get
for each definition in the list.
v1_service_list = dyn_client.resources.get(api_version='v1', kind='ServiceList')
body = {
'kind': 'ServiceList',
'apiVersion': 'v1',
'items': [
'metadata': {'name': 'my-service'},
'spec': {
'selector': {'app': 'MyApp'},
'ports': [{
'protocol': 'TCP',
'port': '8080',
'targetPort': '9376'
}]
}
],
# More definitions would go here
}
# Gets the specified Service(s) from the 'test' namespace
v1_service_list.get(body=body, namespace='test')
# Lists all Services in the 'test' namespace
v1_service_list.get(namespace='test')
# Lists all Services in the cluster (requires high permission level)
v1_service_list.get()
create(body=None, namespace=None, **kwargs)
v1_services = dyn_client.resources.get(api_version='v1', kind='Service')
body = {
'kind': 'Service',
'apiVersion': 'v1',
'metadata': {'name': 'my-service'},
'spec': {
'selector': {'app': 'MyApp'},
'ports': [{
'protocol': 'TCP',
'port': '8080',
'targetPort': '9376'
}]
}
}
# Creates the above service in the 'test' namespace
v1_services.create(body=body, namespace='test')
The create
implementation is the same for *List
kinds, except that each definition in the list will be created separately.
If the resource is namespaced (ie, not cluster-level), then one of namespace
, label_selector
, or field_selector
is required.
If the resource is cluster-level, then one of name
, label_selector
, or field_selector
is required.
delete(name=None, namespace=None, label_selector=None, field_selector=None, **kwargs)
v1_services = dyn_client.resources.get(api_version='v1', kind='Service')
# Deletes the specific Service named 'example' from the 'test' namespace
v1_services.delete(name='my-service', namespace='test')
# Deletes all Services in the 'test' namespace
v1_services.delete(namespace='test')
# Deletes all Services in the 'test' namespace with the 'app' label set to 'foo'
v1_services.delete(namespace='test', label_selector='app=foo')
# Deletes all Services except for those in the 'default' namespace
v1_services.delete(field_selector='metadata.namespace!=default')
delete(body=None, namespace=None, **kwargs)
For List kind resources (ie, the resource name ends in List
), the delete
implementation is slightly different.
Rather than taking a name, they take a *List
kind definition and call delete
for each definition in the list.
v1_service_list = dyn_client.resources.get(api_version='v1', kind='ServiceList')
body = {
'kind': 'ServiceList',
'apiVersion': 'v1',
'items': [
'metadata': {'name': 'my-service'},
'spec': {
'selector': {'app': 'MyApp'},
'ports': [{
'protocol': 'TCP',
'port': '8080',
'tardeletePort': '9376'
}]
}
],
# More definitions would go here
}
# deletes the specified Service(s) from the 'test' namespace
v1_service_list.delete(body=body, namespace='test')
# Deletes all Services in the 'test' namespace
v1_service_list.delete(namespace='test')
patch(body=None, namespace=None, **kwargs)
v1_services = dyn_client.resources.get(api_version='v1', kind='Service')
body = {
'kind': 'Service',
'apiVersion': 'v1',
'metadata': {'name': 'my-service'},
'spec': {
'selector': {'app': 'MyApp2'},
}
}
# patchs the above service in the 'test' namespace
v1_services.patch(body=body, namespace='test')
The patch
implementation is the same for *List
kinds, except that each definition in the list will be patched separately.
replace(body=None, namespace=None, **kwargs)
v1_services = dyn_client.resources.get(api_version='v1', kind='Service')
body = {
'kind': 'Service',
'apiVersion': 'v1',
'metadata': {'name': 'my-service'},
'spec': {
'selector': {'app': 'MyApp2'},
'ports': [{
'protocol': 'TCP',
'port': '8080',
'targetPort': '9376'
}]
}
}
# replaces the above service in the 'test' namespace
v1_services.replace(body=body, namespace='test')
The replace
implementation is the same for *List
kinds, except that each definition in the list will be replaced separately.
watch(namespace=None, name=None, label_selector=None, field_selector=None, resource_version=None, timeout=None)
v1_services = dyn_client.resources.get(api_version='v1', kind='Service')
# Prints the resource that triggered each event related to Services in the 'test' namespace
for event in v1_services.watch(namespace='test'):
print(event['object'])
If you have any problem with the package or any suggestions, please file an issue.
Participation in the Kubernetes community is governed by the CNCF Code of Conduct.