A library for building Finagle-style asynchronous clients and servers
Project description
Crossbill
Description
Crossbill is a Python library focused on building Finagle-style Service-based
asynchronous clients and servers. It is very much a work in progress, and as
such, does not follow semantic versioning, nor should the APIs be considered
stable.
Getting Started
Crossbill is published to PyPI. Here's a walkthrough of how to include it as a
dependency in your project via uv.
Create a New Project
$ uv init crossbill-demo
$ cd crossbill-demo
Add Crossbill as a Dependency
$ uv add crossbill
Code the Example
By default, uv will generate a hello.py file. Replace its contents with the
following code:
import asyncio
from crossbill.core import Service
from crossbill.string import (
StringClient,
StringRequest,
StringResponse,
StringServer,
)
from crossbill.transport import Address
class EchoService(Service[StringRequest, StringResponse]):
async def __call__(self, request: StringRequest) -> StringResponse:
return StringResponse(request.value)
async def main() -> None:
address = Address("localhost", 12345)
server = StringServer()
await server.serve(address, EchoService())
message = "Hello from crossbill-demo!"
client = StringClient()
await client.connect(address)
response = await client(StringRequest(message))
print(response.value)
await client.close()
await server.close()
if __name__ == "__main__":
asyncio.run(main())
Run the Example
$ uv run hello.py
Hello from crossbill-demo!
Development
The crossbill project uses uv, "[a]n extremely fast Python package and
project manager, written in Rust." If you don't have it installed, follow
the installation guide
in order to do so.
Dependency Installation
With uv installed, run the following from the command line to ensure that all
dependencies are properly installed.
$ uv sync
Typing
This project uses type hints extensively, and uses both pyright and mypy to see
issues related to them.
To see the existing issues, run the following from the command line.
$ uv run pyright .
$ uv run mypy .
Testing
This project uses pytest along with asyncio in order to run asynchronous
tests. A predominant number of tests within this library will fit that criteria
due to the nature of the domain space.
To run the existing unit tests, run the following from the command line.
$ uv run pytest
Coverage
This project uses coverage and pytest-cov for measuring code coverage. To
generate the report when running tests, run the following from the command line.
$ uv run pytest --cov
Project details
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