hikaru-model-27 1.1.1

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Description:

hikarumodel27 1.1.1

Version 1.1.1

Try it: see Hikaru convert your K8s YAML
Release notes
Full documentation at Read the Docs
Hikaru is a collection of tools that allow you to work with Kubernetes resources from within Python in
a variety of ways:

Hikaru provides type-annotated classes that model all of the Kubernetes resources in Python
and supports CRUD operations on those classes to manage their lifecycle in your Kubernetes cluster.
Hikaru also provides tooling to shift formats for these objects, allowing you to turn K8s YAML
into Python objects, JSON, or Python dicts, and vice-versa. It can also generate Python source code for K8s
objects loaded from non-Python sources.
Hikaru also supports a number of features that aid in the management of
your objects such as searching for specific fields or diffing two instances of a K8s resource.
Hikaru includes support for creating ‘watches’ on your objects, providing a means to monitor events
on your provisioned K8s resources.
Hikaru provides support for creation of CRDs which support all the above features such as CRUD operations
and watches.
Finally, Hikaru includes a facility to specify a collection of
resources as an ‘application’, similar in spirit to a Helm chart, and provides the same CRUD,
watch, and management capabilities on the entire application as it does on single resource objects
(full format shifting support to come).

This package provides model classes to create resources through the Kubernetes Python client version 27.x.
It depends on the
hikaru-core package which will be installed automatically when this packages is installed. This package
will work with any version of the Kubernetes Python client >= 27.x; if you need to constrain which release
is installed then you should establish your own requirement limts on the Kubernetes Python client package.

About
Hikaru is Mr. Sulu’s first name, a famed fictional helmsman.

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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