Async functions to compare with anyio and asyncio, and toolkit to read excel with async/await.
Project description
asynctor
Some async functions that using anyio, and toolkit for excel read.
Installation
$ pip install asynctor
---> 100%
Successfully installed asynctor
Or use poetry:
poetry add asynctor
Usage
- Async function that compare asyncio but use anyio:
bulk_gather/gather/run
>>> import asynctor
>>> async def foo():
... return 1
...
>>> await asynctor.bulk_gather([foo(), foo()], limit=200)
(1, 1)
>>> await asynctor.gather(foo(), foo())
(1, 1)
>>> asynctor.run(gather(foo(), foo()))
(1, 1)
- timeit
>>> import time
>>> import anyio
>>> from asynctor import timeit
>>> @timeit
... async def sleep_test():
... await anyio.sleep(3)
...
>>> await sleep()
sleep_test Cost: 3.0 seconds
>>> @timeit
... def sleep_test2():
... time.sleep(3.1)
...
>>> sleep_test2()
sleep_test2 Cost: 3.1 seconds
- AioRedis
from asynctor.contrib.fastapi import AioRedis, register_aioredis
from fastapi import FastAPI, Request
app = FastAPI()
register_aioredis(app)
@app.get('/')
async def root(redis: AioRedis) -> list[str]:
return await redis.keys()
@app.get('/redis')
async def get_value_from_redis_by_key(redis: AioRedis, key: str) -> str:
value = await redis.get(key)
if not value:
return ''
return value.decode()
- AsyncTestClient
import pytest
from asynctor import AsyncTestClient, AsyncClientGenerator
from httpx import AsyncClient
from main import app
@pytest.fixture(scope='session')
async def client() -> AsyncClientGenerator:
async with AsyncTestClient(app) as c:
yield c
@pytest.fixture(scope="session")
def anyio_backend():
return "asyncio"
@pytest.mark.anyio
async def test_api(client: AsyncClient):
response = await client.get("/")
assert response.status_code == 200
- Read Excel File(need to install with xls extra:
pip install "asynctor[xls]")
>>> from asynctor.xls import load_xls
>>> await load_xls('tests/demo.xlsx')
[{'Column1': 'row1-\\t%c', 'Column2\nMultiLines': 0, 'Column 3': 1, 4: ''}, {'Column1': 'r2c1\n00', 'Column2\nMultiLines': 'r2 c2', 'Column 3': 2, 4: ''}]
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