neo-python-sdk 1.15.0

Neo SDK for Python with some additional libraries to support the development of Neo Sentinels (NSX).

Neo SDK: Python 3 🐍

Neo SDK for Python with some additional libraries to support the development of Neo Sentinels (NSX).

Terminology

• Task: A task (or Sentinel Task) is a job processed or created by so called Sentinels.
• Sentinel: Fancy name for a worker consuming / producing tasks. They are usually not that evil.
• Particle: All tasks / messages / responses flowing through the Neo internals are generalized as „particles“. Particles can be the payload for tasks, the response to the Neo client or just some metadata. Particles have to be objects.

Installation

pip install neo_python_sdk

Configuration

The Neo SDK can be configured through environment variables (ENVs in short). The following ENVs are supported:

• NPQ_DISABLE_AUTOCONNECT: Set to true in order to prevent the SDK from autoconnecting.
• NPQ_NAME: A identifiable name for your Sentinel.

Usage

To use it you have to import it in Python with the following import:

import neo_python_sdk as Neo

Quick start

Consuming tasks

import neo_python_sdk as Neo
import asyncio

# processing tasks requires a queue name
# the request object will be passed to the provided processor (a function)
# the "processor" should use async / await
async def start_neo_tasks(loop):
    neo = await Neo.init(loop)
    async def process_request(payload):
        res = f"Hi there, {payload["user"]}"
        return res

    await neo.process("nsx.dev.example.sayHello", process_request)

if __name__ == "__main__":
    loop = asyncio.get_event_loop()
    loop.run_until_complete(start_neo_tasks(loop))
    loop.run_forever()

Creating tasks

import neo_python_sdk as Neo
import asyncio

async def execute_task(loop):
    neo = await Neo.init(loop)
    response = await neo.create("nsx.dev.example.sayHello", {"user": "John"})
    print(f"Server responded: {response}")


if __name__ == "__main__":
    loop = asyncio.get_event_loop()
    loop.run_until_complete(execute_task(loop))