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. And based on httpx's support for multiple http protocols, the client can also use http/1.0, http/1.1 or http2.
You can freely use ordinary functions and asynchronous functions for one-time response. You can also use generator functions or asynchronous generator functions to stream responses.
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]
# need use CBOR to serializer
pip install rpc.py[cbor]
# or install all dependencies
pip install rpc.py[full]Install from github:
pip install git+https://github.com/abersheeran/rpc.py@setup.pyUsage
Server side:
Use ASGI mode to register async def...
from typing import AsyncGenerator
from typing_extensions import TypedDict
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) -> AsyncGenerator[int, None]:
for i in range(max_num):
yield i
D = TypedDict("D", {"key": str, "other-key": str})
@app.register
async def query_dict(value: str) -> D:
return {"key": value, "other-key": value}
if __name__ == "__main__":
uvicorn.run(app, interface="asgi3", port=65432)OR
Use WSGI mode to register def...
from typing import Generator
from typing_extensions import TypedDict
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) -> Generator[int, None, None]:
for i in range(max_num):
yield i
D = TypedDict("D", {"key": str, "other-key": str})
@app.register
def query_dict(value: str) -> D:
return {"key": value, "other-key": value}
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...
from typing import Generator
from typing_extensions import TypedDict
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) -> Generator[int, None, None]:
yield
D = TypedDict("D", {"key": str, "other-key": str})
@app.remote_call
def query_dict(value: str) -> D:
...OR
Use httpx.AsyncClient() mode to register async def...
from typing import AsyncGenerator
from typing_extensions import TypedDict
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) -> AsyncGenerator[int, None]:
yield
D = TypedDict("D", {"key": str, "other-key": str})
@app.remote_call
async def query_dict(value: str) -> D:
...Server as client
You can also write two copies of code in one place. Just make sure that server.register is executed before client.remote_call.
import httpx
from rpcpy import RPC
from rpcpy.client import Client
server = RPC()
client = Client(httpx.Client(), base_url="http://127.0.0.1:65432/")
@client.remote_call
@server.register
def sayhi(name: str) -> str:
return f"hi {name}"
if __name__ == "__main__":
import uvicorn
uvicorn.run(app, interface="wsgi", port=65432)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, Msgpack and CBOR. JSON is used by default. You can override the default JSONSerializer with parameters.
from rpcpy.serializers import PickleSerializer, MsgpackSerializer, CBORSerializer
RPC(
...,
response_serializer=MsgpackSerializer(),
)
# Or
Client(
...,
request_serializer=PickleSerializer(),
)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.
![dependabot[bot]](https://avatars.githubusercontent.com/u/49699333?size=120)