rpc.py 0.4.1

An fast and powerful RPC framework based on ASGI/WSGI.

rpc.py

An fast and powerful RPC framework based on ASGI/WSGI.

Based on WSGI/ASGI, you can deploy the rpc.py server to any server and use http2 to get better performance.

Install

Install from PyPi:

pip install rpc.py

# need use client
pip install rpc.py[client]

# need use pydantic type hint or OpenAPI docs
pip install rpc.py[type]

# need use msgpack to serializer
pip install rpc.py[msgpack]

# or install all dependencies
pip install rpc.py[full]

Install from github:

pip install git+https://github.com/abersheeran/[e-mail]

Usage

Server side:

Use ASGI mode to register async def...

import uvicorn
from rpcpy import RPC

app = RPC(mode="ASGI")


@app.register
async def none() -> None:
    return


@app.register
async def sayhi(name: str) -> str:
    return f"hi {name}"


@app.register
async def yield_data(max_num: int):
    for i in range(max_num):
        yield i


if __name__ == "__main__":
    uvicorn.run(app, interface="asgi3", port=65432)

OR

Use WSGI mode to register def...

import uvicorn
from rpcpy import RPC

app = RPC()


@app.register
def none() -> None:
    return


@app.register
def sayhi(name: str) -> str:
    return f"hi {name}"


@app.register
def yield_data(max_num: int):
    for i in range(max_num):
        yield i


if __name__ == "__main__":
    uvicorn.run(app, interface="wsgi", port=65432)

Client side:

Notice: Regardless of whether the server uses the WSGI mode or the ASGI mode, the client can freely use the asynchronous or synchronous mode.

Use httpx.Client() mode to register def...

import httpx
from rpcpy.client import Client

app = Client(httpx.Client(), base_url="http://127.0.0.1:65432/")


@app.remote_call
def none() -> None:
    ...


@app.remote_call
def sayhi(name: str) -> str:
    ...


@app.remote_call
def yield_data(max_num: int):
    yield

OR

Use httpx.AsyncClient() mode to register async def...

import httpx
from rpcpy.client import Client

app = Client(httpx.AsyncClient(), base_url="http://127.0.0.1:65432/")


@app.remote_call
async def none() -> None:
    ...


@app.remote_call
async def sayhi(name: str) -> str:
    ...


@app.remote_call
async def yield_data(max_num: int):
    yield

Sub-route

If you need to deploy the rpc.py server under example.com/sub-route/*, you need to set RPC(prefix="/sub-route/") and modify the Client(base_path=https://example.com/sub-route/).

Serialization

Currently supports three serializers, JSON, Pickle and Msgpack. JSON is used by default. You can override the default JSONSerializer with parameters.

import httpx
from rpcpy import RPC
from rpcpy.client import Client
from rpcpy.serializers import PickleSerializer, MsgpackSerializer

RPC(
    request_serializer=PickleSerializer(), 
    response_serializer=MsgpackSerializer(),
)
Client(
    httpx.Client(),
    base_url="http://127.0.0.1:65432/",
    request_serializer=PickleSerializer(), 
    response_serializer=MsgpackSerializer(),
)

Type hint and OpenAPI Doc

Thanks to the great work of pydantic, which makes rpc.py allow you to use type annotation to annotate the types of function parameters and response values, and perform type verification and JSON serialization . At the same time, it is allowed to generate openapi documents for human reading.

OpenAPI Documents

If you want to open the OpenAPI document, you need to initialize RPC like this RPC(openapi={"title": "TITLE", "description": "DESCRIPTION", "version": "v1"}).

Then, visit the "{prefix}openapi-docs" of RPC and you will be able to see the automatically generated OpenAPI documentation. (If you do not set the prefix, the prefix is "/")

Limitations

Currently, file upload is not supported, but you can do this by passing a bytes object.