An easy to use rpc framework for enabling fast inter-process, inter-container, or inter-host communication

Easily share functions between hosts, processes, containers without the complexity of defining non-native python types or proxy modules.

Documentation

easyrpc.readthedocs.io

Key Features

• No predefined proxy functions at the remote endpoints
• Easily group and share functons among hosts / processes using Namespaces / Namespace Groups
• Proxy functions parameters are validated as if defined locally.
• Optional: pre-flight encyrption
• No strict RPC message structure / size limit, within json serializable constraints

Quick Start

$ virtualenv -p python3.7 easy-rpc-env

$ source easy-rpc-env/bin/activate

(easy-rpc-env)$ pip install easyrpc

Basic Usage:

# server.py
from fastapi import FastAPI
from easyrpc.server import EasyRpcServer

server = FastAPI()

ws_server_a = EasyRpcServer(server, '/ws/server_a', server_secret='abcd1234')

@ws_server_a.origin(namespace='public')
def good_func_a(a, b, c):
    print(f"good_func_a {a} {b} {c}")
    return {"good_func_a": [a, b, c]}

# client.py
import asyncio
from easyrpc.proxy import EasyRpcProxy

async def main():
    proxy = await EasyRpcProxy.create(
        '0.0.0.0', 
        8090, 
        '/ws/server_a', 
        server_secret='abcd1234',
        'namespace='public'
    )

    good_func_a = proxy['good_func_a']
    result = await good_func_a(1, 5, 7)
    print(result)

asyncio.run(main())

Recipes

See other usage examples in Recipes

• basic
• clusters
• FastAPI-Shared-Database
• Generators

Supported Functions Features

• async def & def
• async generators & generators
• *args, **kwargs
• positional & default parmeters
• TODO - type annotations

Common Use Cases

• State sharing among forked workers
• Shared Database connections / cache
• Shared Queues
• Worker Pooling - Easy centralization for workers and distribution of work.
• Function Chaining