mypy plugin to dynamically define types for Kubernetes objects.
Install with pip:
pip install kubernetes-typedThis 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.
Add type checks for Custom Resource Definition spec given its definition in yaml file .
- Configure mypyto usecrd_typedplugin:
[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 TypeDictdefinition 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 objectorarray: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 itemskey:from crd_type import CustomResource resource: CustomResource["relative/path/to/crd.yaml", "spec", "some_array_of_objects", "items"] 
- CRDs that use additionalPropertiesare 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
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.pluginIf you want to type check resource dicts instead of classes, you can use generated TypedDicts 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')- Kubernetes client api functions are currently not covered by stubs, so you might get Call to untyped functionerrors. Check mypy config doc on how to disable separate warnings.