iris-pex-embedded-python 4.0.1b2

Iris Interoperability based on Embedded Python

IoP (Interoperability On Python)

Welcome to the Interoperability On Python (IoP) proof of concept! This project demonstrates how the IRIS Interoperability Framework can be utilized with a Python-first approach.

Documentation can be found here. For prompt-driven workflows, see AI-assisted coding with IoP. For task-oriented examples, see the IoP cookbooks. For application repositories, start from the reusable AGENTS.md template.

Example

Here's a tiny Python-authored production:

from dataclasses import dataclass

from iop import BusinessOperation, Message, PollingBusinessService, Production, target


@dataclass
class HelloRequest(Message):
    text: str = "Hello World"


class HelloService(PollingBusinessService):
    Output = target()

    def on_poll(self):
        self.send_request_async(self.Output, HelloRequest())


class HelloOperation(BusinessOperation):
    def on_message(self, request: HelloRequest):
        self.log_info(request.text)
        return request


prod = Production("HelloWorld.Production", testing_enabled=True)
service = prod.service("HelloService", HelloService)
operation = prod.operation("HelloOperation", HelloOperation)
prod.connect(service.Output, operation)

PRODUCTIONS = [prod]

Installation

To start using this proof of concept, install it using pip:

pip install iris-pex-embedded-python

Getting Started

If you're new to this project, begin by reading the installation guide. Then, follow the first steps to create your first Python-authored production.

If you are using an AI coding assistant, start with AI-assisted coding with IoP. For concrete workflows, use the IoP cookbooks. For healthcare productions, also see Healthcare AI-assisted coding.

Happy coding!