jsonrpyc 1.4.0

Minimal python RPC implementation based on the JSON-RPC 2.0 specs.

Original source hosted at GitHub.

Usage

jsonrpyc.RPC instances basically wrap an input stream and an output stream in order to communicate with other services. A service is not even forced to be written in Python as long as it strictly implements the JSON-RPC 2.0 specs. A suitable implementation for NodeJs is node-json-rpc. A jsonrpyc.RPC instance may wrap a target object. Incomming requests will be routed to methods of this object whose result might be sent back as a response. Example implementation:

server.py

import jsonrpyc

class MyTarget:

    def greet(self, name: str) -> str:
        return f"Hi, {name}!"

jsonrpyc.RPC(MyTarget())

client.py

import jsonrpyc
from subprocess import Popen, PIPE

p = Popen(["python", "server.py"], stdin=PIPE, stdout=PIPE)
rpc = jsonrpyc.RPC(stdout=p.stdin, stdin=p.stdout)


#
# sync usage
#

print(rpc("greet", args=("John",), block=0.1))
# => "Hi, John!"

#
# async usage
#

def cb(err: Exception | None, res: str | None = None) -> None:
    if err:
        raise err
    print(f"callback got: {res}")

rpc("greet", args=("John",), callback=cb)

# cb is called asynchronously which prints
# => "callback got: Hi, John!"

#
# shutdown
#

p.stdin.close()
p.stdout.close()
p.terminate()
p.wait()

Installation

Install simply via pip.

pip install jsonrpyc

# or with optional dev dependencies
pip install jsonrpyc[dev]

Contributing

If you like to contribute to jsonrpyc, I'm happy to receive pull requests.

The full testing pipeline is based on pre-commit. Run the following to install development dependencies and set it up:

# inside the cloned repository
git lfs install
pip install -e .[dev]
pre-commit install

Now, every time you make a commit, the pre-commit and pre-push hooks will automatically run linting, type checking and unit tests. To run them manually, use

# for linting, type checking and additional checks on all files
pre-commit run --all-files

# only for staged files
pre-commit run

# or run unit tests standalone
pytest

Development

• Source hosted at GitHub
• Report issues, questions, feature requests on GitHub Issues