Modern lightweight kubernetes module for python
NOTICE: This project is still under development and not suitable for production usage.
- Simple interface shared across all kubernetes APIs.
- Extensive type hints to avoid common mistakes and to support autocompletion.
- Models and resources generated from the swagger specifications using standard dataclasses.
- Load/Dump resource objects from YAML.
- Support for async/await
- Support for installing a specific version of the kubernetes models (1.15 to 1.27)
- Lazy instantiation of inner models.
- Fast startup and small memory footprint as only needed models and resources can be imported.
- Automatic handling of pagination when listing resources.
This module is powered by httpx.
This module requires python >= 3.7
pip install lightkube
Read a pod
from lightkube import Client
from lightkube.resources.core_v1 import Pod
client = Client()
pod = client.get(Pod, name="my-pod", namespace="default")
print(pod.namespace.uid)
List nodes
from lightkube import Client
from lightkube.resources.core_v1 import Node
client = Client()
for node in client.list(Node):
print(node.metadata.name)
Watch deployments
from lightkube import Client
from lightkube.resources.apps_v1 import Deployment
client = Client()
for op, dep in client.watch(Deployment, namespace="default"):
print(f"{dep.namespace.name} {dep.spec.replicas}")
Create a config map
from lightkube.resources.core_v1 import ConfigMap
from lightkube.models.meta_v1 import ObjectMeta
config = ConfigMap(
metadata=ObjectMeta(name='my-config', namespace='default'),
data={'key1': 'value1', 'key2': 'value2'}
)
client.create(config)
Replace the previous config with a different content
config.data['key1'] = 'new value'
client.replace(config)
Patch an existing config
patch = {'metadata': {'labels': {'app': 'xyz'}}}
client.patch(ConfigMap, name='my-config', namespace='default', obj=patch)
Delete a namespaced resource
client.delete(ConfigMap, name='my-config', namespace='default')
Create resources defined in a file
from lightkube import Client, codecs
client = Client()
with open('deployment.yaml') as f:
for obj in codecs.load_all_yaml(f):
client.create(obj)
Scale a deployment
from lightkube.resources.apps_v1 import Deployment
from lightkube.models.meta_v1 import ObjectMeta
from lightkube.models.autoscaling_v1 import ScaleSpec
obj = Deployment.Scale(
metadata=ObjectMeta(name='metrics-server', namespace='kube-system'),
spec=ScaleSpec(replicas=1)
)
client.replace(obj, 'metrics-server', namespace='kube-system')
Create and modify resources using server side apply
Note: field_manager
is required for server-side apply. You can specify it once in the client constructor
or when calling apply()
. Also apiVersion
and kind
need to be provided as part of
the object definition.
from lightkube.resources.core_v1 import ConfigMap
from lightkube.models.meta_v1 import ObjectMeta
client = Client(field_manager="my-manager")
config = ConfigMap(
# note apiVersion and kind need to be specified for server-side apply
apiVersion='v1', kind='ConfigMap',
metadata=ObjectMeta(name='my-config', namespace='default'),
data={'key1': 'value1', 'key2': 'value2'}
)
res = client.apply(config)
print(res.data)
# prints {'key1': 'value1', 'key2': 'value2'}
del config.data['key1']
config.data['key3'] = 'value3'
res = client.apply(config)
print(res.data)
# prints {'key2': 'value2', 'key3': 'value3'}
Stream pod logs
from lightkube import Client
client = Client()
for line in client.log('my-pod', follow=True):
print(line)
The following features are not supported at the moment:
- Special subresources
attach
,exec
,portforward
andproxy
. auth-provider
authentication method is not supported. The supported authentication methods aretoken
,username
+password
andexec
.