Examples¶
Asynchronously and concurrently execute multiple HTTP requests.¶
import paco
import aiohttp
async def fetch(url):
async with aiohttp.ClientSession() as session:
async with session.get(url) as res:
return res
async def fetch_urls():
urls = [
'https://www.google.com',
'https://www.yahoo.com',
'https://www.bing.com',
'https://www.baidu.com',
'https://duckduckgo.com',
]
# Map concurrent executor with concurrent limit of 3
responses = await paco.map(fetch, urls, limit=3)
for res in responses:
print('Status:', res.status)
# Run in event loop
paco.run(fetch_urls())
Concurrent pipeline-style chain composition of functors over any iterable object.¶
import paco
async def filterer(x):
return x < 8
async def mapper(x):
return x * 2
async def drop(x):
return x < 10
async def reducer(acc, x):
return acc + x
async def task(numbers):
return await (numbers
| paco.filter(filterer)
| paco.map(mapper)
| paco.dropwhile(drop)
| paco.reduce(reducer, initializer=0)) # noqa
# Run in event loop
number = paco.run(task((1, 2, 3, 4, 5, 6, 7, 8, 9, 10)))
print('Number:', number) # => 36