Metadata-Version: 2.4
Name: statefun-tasks
Version: 3.4.0
Summary: Tasks API for Stateful Functions on Flink
Author-email: Frans King & Luke Ashworth <frans.king@sbbsystems.com>
License-Expression: Apache-2.0
Project-URL: Homepage, https://fransking.github.io/flink-statefun-tasks
Project-URL: Source, https://github.com/fransking/flink-statefun-tasks
Project-URL: Issues, https://github.com/fransking/flink-statefun-tasks/issues
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Development Status :: 5 - Production/Stable
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: kafka-python
Requires-Dist: protobuf
Dynamic: license-file

# Flink Tasks
Tasks API for Stateful Functions on Flink

## What is it?

A lightweight API that borrows concepts from Celery to allow Python developers to run task based workflows on Apache Flink Stateful Functions.  Workflows are composed of Tasks which accept parameters and can be chained together as continuations into a Pipeline.  The Pipeline becomes the Flink state.


```
@tasks.bind()
def greeting_workflow(first_name, last_name):
    return say_hello.send(first_name, last_name).continue_with(say_goodbye)


@tasks.bind()
def say_hello(first_name, last_name):
    return f'Hello {first_name} {last_name}'


@tasks.bind()
def say_goodbye(greeting):
    return f'{greeting}.  So now I will say goodbye'
```

Try the [demo](https://flink-demo-az.sbbsystems.co.uk).

Additional documentation can be found [here](https://fransking.github.io/flink-statefun-tasks).

The pipeline function can be downloaded [here](https://github.com/fransking/flink-statefun-tasks-embedded).
