Kubernetes Operator Pythonic Framework (Kopf)

Kopf —Kubernetes Operator Pythonic Framework— is a framework and a library to make Kubernetes operators development easier, just in few lines of Python code.

The main goal is to bring the Domain-Driven Design to the infrastructure level, with Kubernetes being an orchestrator/database of the domain objects (custom resources), and the operators containing the domain logic (with no or minimal infrastructure logic).

Documentation

https://kopf.readthedocs.io/

Features

A full-featured operator in just 2 files: Dockerfile + a Python module.
Implicit object's status updates, as returned from the Python functions.
Multiple creation/update/deletion handlers to track the object handling process.
Update handlers for the selected fields with automatic value diffs.
Dynamically generated sub-handlers using the same handling tracking feature.
Retries of the handlers in case of failures or exceptions.
Easy object hierarchy building with the labels/naming propagation.
Built-in events for the objects to reflect their state (as seen in kubectl describe).
Automatic logging/reporting of the handling process (as logs + events).
Handling of multiple CRDs in one process.
The development instance temporarily suppresses the deployed ones.

Examples

See examples for the examples of the typical use-cases.

The minimalistic operator can look like this:

import kopf

@kopf.on.create('zalando.org', 'v1', 'kopfexamples')
def create_fn(spec, meta, status, **kwargs):
    print(f"And here we are! Creating: {spec}")

The keyword arguments available to the handlers:

body for the whole body of the handled objects.
spec as an alias for body['spec'].
meta as an alias for body['metadata'].
status as an alias for body['status'].
patch is a dict with the object changes to applied after the handler.
retry (int) is the sequential number of retry of this handler.
started (datetime.datetime) is the start time of the handler, in case of retries & errors.
runtime (datetime.timedelay) is the duration of the handler run, in case of retries & errors.
diff is a list of changes of the object (only for the update events).
old is the old state of the object or a field (only for the update events).
new is the new state of the object or a field (only for the update events).
logger is a per-object logger, with the messages prefixed with the object's namespace/name.
event is the raw event as received from the Kubernetes API.
cause is the processed cause of the handler as detected by the framework (create/update/delete).

**kwargs (or **_ to stop lint warnings) is required for the forward compatibility: the framework can add new keyword arguments in the future, and the existing handlers should accept them.

Usage

We assume that when the operator is executed in the cluster, it must be packaged into a docker image with CI/CD tool of your preference.

FROM python:3.7
ADD . /src
RUN pip install kopf
CMD kopf run handlers.py

Where handlers.py is your Python script with the handlers (see examples/*/example.py for the examples).

See kopf run --help for others ways of attaching the handlers.

Contributing

Please read CONTRIBUTING.md for details on our process for submitting pull requests to us, and please ensure you follow the CODE_OF_CONDUCT.md.

To install the environment for the local development, read DEVELOPMENT.md.

Versioning

We use SemVer for versioning. For the versions available, see the releases on this repository.

License

This project is licensed under the MIT License — see the LICENSE file for details.

Acknowledgments

Thanks to @side8 and their k8s-operator for the inspiration.

forsberg/kopf