kubernetes-typed
mypy plugin to dynamically define types for Kubernetes objects.
Features
Installation
Install with pip
:
pip install kubernetes-typed
Versioning
This package follows kubernetes
client versioning approach.
MAJOR.MINOR
parts of version will match client version for which stubs were generated, and PATCH
version will be stub or plugin specific updates.
Custom Resource Definitions
Add type checks for Custom Resource Definition spec given its definition in yaml
file .
- Configure
mypy
to use crd_typed
plugin:
[mypy]
plugins = crd_typed.plugin
- Import
CustomResource
from crd_type import CustomResource
- Annotate your variables:
resource: CustomResource["relative/path/to/crd.yaml"]
You can get type definition for different parts of crd:
-
Get TypeDict
definition for custom resource body:
from crd_type import CustomResource
resource: CustomResource["relative/path/to/crd.yaml"]
-
Get definition only for resource spec
:
from crd_type import CustomResource
resource: CustomResource["relative/path/to/crd.yaml", "spec"]
-
Get definition for nested spec item, if that item is type object
or array
:
from crd_type import CustomResource
resource: CustomResource["relative/path/to/crd.yaml", "spec", "some_property"]
-
Get definition for array item, if that is array of objects, via items
key:
from crd_type import CustomResource
resource: CustomResource["relative/path/to/crd.yaml", "spec", "some_array_of_objects", "items"]
Limitations
- CRDs that use
additionalProperties
are not supported. - CRDs can define multiple
versions
, currently only first one will be used - Custom attributes like
x-kubernetes-int-or-string
, x-kubernetes-embedded-resource
, are not supported
Kubernetes Python Client types
This package provides basic type stubs for kubernetes python client out of the box.
To enable full type checking for classes use provided kubernetes_typed
plugin. This plugin requires kubernetes
, you can require it during installation like this:
pip install kubernetes-typed[client]
Configure mypy
to use it and it will automatically type check classes from kubernetes.client
:
[mypy]
plugins = kubernetes_typed.plugin
Kubernetes Python Client Models Dict Types
If you want to type check resource dicts instead of classes, you can use generated TypedDict
s provided by this package.
To do this for any model class in kubernetes.client
append its name with Dict
, and import it from kubernetes_type.client
For example:
kubernetes.client.V1Pod
-> kubernetes_typed.client.V1PodDict
from kubernetes.client.api import core_v1_api
from kubernetes_typed.client import V1PodDict
api_instance = core_v1_api.CoreV1Api()
pod_manifest: V1PodDict = {
"apiVersion": "v1",
"kind": "Pod",
"metadata": {"name": "test-pod"},
"spec": {
"containers": [
{
"image": "nginx",
"name": "nginx",
},
],
},
}
api_instance.create_namespaced_pod(body=pod_manifest, namespace='default')
Limitations
- Kubernetes client api functions are currently not covered by stubs, so you might get
Call to untyped function
errors. Check mypy config doc on how to disable separate warnings.