Async utilities library inspired by Tokio
Project description
Kioto
Kioto is an asynchronous utilities library for Python, inspired by Tokio from Rust. Leveraging Python's asyncio, Kioto provides a suite of powerful async utilities and data structures, enabling developers to build efficient and scalable asynchronous applications with ease.
Features
- Async Channels: Facilitate communication between asynchronous tasks with bounded and unbounded channels.
- Futures and Task Management: Simplify asynchronous task handling with utilities for managing task sets, selection, and shared futures.
- Streams and Sinks: Provide stream processing capabilities, including mapping, filtering, buffering, and more.
- Synchronization Primitives: Offer advanced synchronization tools like mutexes for managing shared state.
- Time Utilities: Handle asynchronous timing operations, intervals, and timeouts seamlessly.
Usage Examples
Here are some example programs demonstrating how to use Kioto's features:
Async Channels
Kioto provides channnels with a sender/receiver pair. If one end of the channel isgc'd the other end will raise an exception on send/recv.
import asyncio
from kioto.channels import channel
async def producer(sender):
for i in range(5):
await sender.send_async(i)
print(f"Sent: {i}")
async def consumer(receiver):
# recv will raise an exception, once producer loop
# finishes and the sender goes out of scope.
while item := await receiver.recv()
print(f"Received: {item}")
def pipeline():
sender, receiver = channel(10)
return asyncio.gather(producer(sender), consumer(receiver))
async def main():
await pipeline()
Select on Task Completion
Use Kioto's task management utilities to await the completion of multiple asynchronous tasks and handle their results using a match statement.
import asyncio
from kioto.futures import task_set, select
async def fetch_data():
await asyncio.sleep(1)
return "Data fetched"
async def process_data():
await asyncio.sleep(2)
return "Data processed"
async def main():
tasks = task_set(fetch=fetch_data(), process=process_data())
while tasks:
match await select(tasks):
case "fetch", result:
print(f"fetched: {result}")
# Dispatch or handle the fetched data
case "process", result:
print(f"processed: {result}")
# Dispatch or handle the processed data
Mutex with owned contents
Kioto includes syncronization primitives that own their contents.
import asyncio
from kioto.futures import try_join
from kioto.sync import Mutex
class Counter:
def __init__(self):
self.value = 0
async def increment(mutex: Mutex, times: int):
# The guard is only valid in the context manager.
# It will raise an exception if a reference outlives this scope
async with mutex.lock() as guard:
for _ in range(times):
guard.value += 1
await asyncio.sleep(0.1)
async def main():
mutex = Mutex(Counter)
await try_join(
increment(mutex, 5),
increment(mutex, 5)
)
print(f"Final counter value: {counter.value}")
Stream Combinators
Use stream combinators to implement complex data pipelines.
import asyncio
from kioto import streams
async def main():
stream = (
streams.iter(range(10))
.filter(lambda x: x % 2 == 0)
.map(lambda x: x * 2)
)
# Iterate the stream.
async for item in stream:
print(item)
# Alternatively collect into a list
values = await stream.collect()
Implement the Stream class by decorating your async generators
import asyncio
from kioto import streams
@streams.async_stream
async def sock_stream(sock):
while result := await sock.recv(1024):
yield result
# Read urls off the socket and download them 10 at a time
downloads = await (
sock_stream(socket)
.map(lambda url: request.get(url))
.buffered_unordered(10)
.collect()
)
License
Kioto is released under the MIT License
Feel free to contribute to Kioto by submitting issues or pull requests on GitHub. For more detailed documentation, visit the official documentation site.
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