I\'m writing a library that I\'d like end-users to be able to optionally use as if its methods and functions were not coroutines.
For example, given this function:
You need two functions -- asynchronous coroutine and synchronous regular function:
@asyncio.coroutine
def async_gettter():
return (yield from http_client.get('http://example.com'))
def sync_getter()
return asyncio.get_event_loop().run_until_complete(async_getter())
magically_determine_if_being_yielded_from()
is actually event_loop.is_running()
but I strongly don't recommend to mix sync and async code in the same function.
I agree with Andrew's answer, I just want to add that if you're dealing with objects, rather than top-level functions, you can use a metaclass to add synchronous versions of your asynchronous methods automatically. See this example:
import asyncio
import aiohttp
class SyncAdder(type):
""" A metaclass which adds synchronous version of coroutines.
This metaclass finds all coroutine functions defined on a class
and adds a synchronous version with a '_s' suffix appended to the
original function name.
"""
def __new__(cls, clsname, bases, dct, **kwargs):
new_dct = {}
for name,val in dct.items():
# Make a sync version of all coroutine functions
if asyncio.iscoroutinefunction(val):
meth = cls.sync_maker(name)
syncname = '{}_s'.format(name)
meth.__name__ = syncname
meth.__qualname__ = '{}.{}'.format(clsname, syncname)
new_dct[syncname] = meth
dct.update(new_dct)
return super().__new__(cls, clsname, bases, dct)
@staticmethod
def sync_maker(func):
def sync_func(self, *args, **kwargs):
meth = getattr(self, func)
return asyncio.get_event_loop().run_until_complete(meth(*args, **kwargs))
return sync_func
class Stuff(metaclass=SyncAdder):
@asyncio.coroutine
def getter(self, url):
return (yield from aiohttp.request('GET', url))
Usage:
>>> import aio, asyncio
>>> aio.Stuff.getter_s
<function Stuff.getter_s at 0x7f90459c2bf8>
>>> aio.Stuff.getter
<function Stuff.getter at 0x7f90459c2b70>
>>> s = aio.Stuff()
>>> s.getter_s('http://example.com')
<ClientResponse(http://example.com) [200 OK]>
<CIMultiDictProxy {'ACCEPT-RANGES': 'bytes', 'CACHE-CONTROL': 'max-age=604800', 'DATE': 'Mon, 11 May 2015 15:13:21 GMT', 'ETAG': '"359670651"', 'EXPIRES': 'Mon, 18 May 2015 15:13:21 GMT', 'SERVER': 'ECS (ewr/15BD)', 'X-CACHE': 'HIT', 'X-EC-CUSTOM-ERROR': '1', 'CONTENT-LENGTH': '1270', 'CONTENT-TYPE': 'text/html', 'LAST-MODIFIED': 'Fri, 09 Aug 2013 23:54:35 GMT', 'VIA': '1.1 xyz.com:80', 'CONNECTION': 'keep-alive'}>
>>> asyncio.get_event_loop().run_until_complete(s.getter('http://example.com'))
<ClientResponse(http://example.com) [200 OK]>
<CIMultiDictProxy {'ACCEPT-RANGES': 'bytes', 'CACHE-CONTROL': 'max-age=604800', 'DATE': 'Mon, 11 May 2015 15:25:09 GMT', 'ETAG': '"359670651"', 'EXPIRES': 'Mon, 18 May 2015 15:25:09 GMT', 'SERVER': 'ECS (ewr/15BD)', 'X-CACHE': 'HIT', 'X-EC-CUSTOM-ERROR': '1', 'CONTENT-LENGTH': '1270', 'CONTENT-TYPE': 'text/html', 'LAST-MODIFIED': 'Fri, 09 Aug 2013 23:54:35 GMT', 'VIA': '1.1 xys.com:80', 'CONNECTION': 'keep-alive'}>
Also you can create a simple decorator which makes your function synchronious. This approach can be applied to global functions and to methods.
An example.
# the decorator
def sync(f):
ASYNC_KEY = 'async'
def f_in(*args, **kwargs):
if ASYNC_KEY in kwargs:
async = kwargs.get(ASYNC_KEY)
del kwargs[ASYNC_KEY]
else:
async = True
if async:
return f(*args, **kwargs)
else:
return asyncio.get_event_loop().run_until_complete(f())
return f_in
# below: the usage
@sync
async def test():
print('In sleep...')
await asyncio.sleep(1)
print('After sleep')
# below: or asyncio.get_event_loop().create_task(test())
asyncio.get_event_loop().run_until_complete(test())
# and here is your syncronious version
test(async=False)
Moreover: it probably have sense to create special wrapper class not to pass async
to every method call. The example is below.
class SyncCallerWrapper(object):
def __init__(self, obj, is_async=True):
self._obj = obj
self._is_async = is_async
def __getattr__(self, name):
def sync_wrapper(obj_attr):
def f(*args, **kwargs):
return asyncio.get_event_loop().run_until_complete(obj_attr(*args, **kwargs))
return f
obj_attr = getattr(self._obj, name)
if not self._is_async and asyncio.iscoroutinefunction(obj_attr):
return sync_wrapper(obj_attr)
return obj_attr
class C(object):
async def sleep1(self):
print('In sleep1...')
await asyncio.sleep(1)
print('After sleep1')
async def sleep2(self):
print('In sleep2...')
await asyncio.sleep(1)
print('After sleep2')
# you don't want any concurrency in your code
c_sync = SyncCallerWrapper(C(), is_async=False)
c_sync.sleep1()
c_sync.sleep2()
# here you want concurrency: class methods are coroutines
c_async = SyncCallerWrapper(C(), is_async=True)
asyncio.get_event_loop().run_until_complete(c_async.sleep1())
asyncio.get_event_loop().run_until_complete(c_async.sleep2())
To be more elegant you can replace your class with a function (global constructor). Then a user could create class C
passing is_async
parameter and have desired behaviour: methods will act as regular (is_async=False
) or as async
functions (is_async=True
).
def C(*args, **kwargs):
KEY_ISASYNC = 'is_async'
if KEY_ISASYNC in kwargs:
is_async = kwargs.get(KEY_ISASYNC)
del kwargs[KEY_ISASYNC]
else:
is_async = False
return SyncCallerWrapper(_C(*args, **kwargs), is_async=is_async)
# you don't want any concurrency in your code
c_sync = C(is_async=False)
c_sync.sleep1()
c_sync.sleep2()
# here you want concurrency: class methods are coroutines
c_async = C(is_async=True)
asyncio.get_event_loop().run_until_complete(c_async.sleep1())
asyncio.get_event_loop().run_until_complete(c_async.sleep2())