Skip to main content

Async python for Event-Driven applications

Project description

AsyncED


PyPI version shields.io PyPI pyversions PyPI license


Async python for Event-Driven applications

Installation

pip install asynced

Usage

At the core of asynced lies StateVar. It can (but does not have to) contain a value, can be watched for changed, and can easily be mapped to other StateVar instances.

For the sake of brevity, next examples are assumed to be run from within an async function, as StateVar requires a running event loop..

Creating an empty state var is as easy as:

>>> from asynced import StateVar
>>> spam = StateVar()

We can check whether it is set:

>>> spam.is_set
False

Let's create an asyncio.Task that prints the spam value once it's set.

>>> async def print_spam():
...     print(await spam)
... 
... task = asyncio.create_task(print_spam)

Nothing is printed yet until we set the statevar:

>>> spam.set('Spam!')
Spam!

After we set the statevar, we see that print_spam printed the value.

Up to here, we've done nothing that asyncio.Future cannot do. But an asyncio.Future can only be set once, whereas a StateVar can be set to a different value as much as needed.

We can watch for any changes of a statevar by async iteration:

>>> async def print_spam_changes():
...     async for value in spam:
...         print(value)
... 
... task = asyncio.create_task(print_spam_changes)

Now any time we set spam to a different value, it'll be printed:

>>> spam.set('Spam and ham!')
Spam and ham!
>>> spam.set('Spam and eggs!')
Spam and eggs!

Neat eh?

A StateVar can also be constructed by passing async iterable, making it behave more like an asyncio.Task:

>>> async def slowrange(*args):
...     for i in range(*args):
...         await asyncio.sleep(1)
...         yield i
...
>>> count4 = StateVar(slowrange(4))
>>> await asyncio.sleep(3.14)
>>> await count4
2

As we see here, the statevar will set itself to the values from the async iterable in the background automatically.

Mapping

StateVar's can also be constructed by applying a function to another StateVar:

>>> count4_inv = StateVar(slowrange(4)).map(lambda i: -i)
>>> async for i in count4_inv:
...     print(i)

Now with one-second intervals, 0, -1, -2 and -3 will be printed.

StateVar.map only works for functions with a single argument, i.e. for one statevar at a time. But fear not, mapping multiple statevars together is possible by using asynced.statefunction. It transforms any function (a: A, b: B, ...) -> R into one that accepts State's (State is the superclass of StateVar) and returns a new StateVar (or some other that subclasses State), (a: State[A], b: State[B], ...) -> StateVar[R].

>>> from asynced import statefunction
>>> @statefunction
... def sadd(_a: float, _b: float) -> float:
...    return _a + _b
... 
>>> a, b = StateVar(), StateVar()
>>> c = sadd(a, b)

Here, c will be set iff both a and b are set:

>>>import calendar c.is_set
False
>>> a.set(12)
c.is_set
False
>>> b.set(30)
>>> await c
42

Now, every time that a or b change, c will change as well.

StateTuple

In the same way as StateVar, a StateTuple can be awaited to get the current value once it's available, and async-iterated to get the values once they are set. Additionally, it can also be used as a tuple of individual StateVar instances.

>>> st = StateTuple(2)  # equivalent StateTuple(StateVar(), StateVar())
>>> st[0].set('spam')
>>> st[1].set('ham')
>>> await st
('spam', 'ham')
>>> await st[-1]
'ham'
>>> st[1] = 'eggs'  # equivalent to st[1].set('eggs')
>>> await st
('spam', 'eggs')
>>> s0, s1 = st
>>> await s1
'eggs'
>>> st2 = 2 * st  # equivalent to StateTuple((st[0], st[1], st[0], st[1]))
>>> st2[2] = 'bacon'
>>> await st2
('bacon', 'eggs', 'bacon', 'eggs')
>>> await st
('bacon', 'eggs')

StateDict

Like StateTuple, a StateDict is a collection of individual StateVar's. It is more similar to a collections.defaultdict than a regular dict, because accessing keys without values will return an empty StateVar.

>>> sd = StateDict()
>>> await sd
{}
>>> sd['spam'] = 'Spam!'
>>> await sd
{'spam': 'Spam!'}
>>> ham = sd['ham']
>>> ham.is_set
False
>>> list(sd.keys())
['spam']
>>> sd['ham'] = 'Ham and eggs!'
>>> await ham
'Ham and eggs!'

.get()

StateVar, StateTuple and StateDict all implement a .get() method, that can be used to get the current value, without having to use await. If no value has been set, it will raise a LookupError. Alternatively, you can pass a default value, that is to be returned in case no value is set.

Error handling

If the async iterable used to create e.g. a StateVar raises an error, the .is_error property will become True, and the error will be raised when its awaited, or when.get or .map are called. The exception will propagate to its mapped "child" State's.

If the async iterable is exhausted (or raises StopAsyncIteration directly), .is_stopped will be set to True instead, and StopAsyncIteration will be only reraised for the waiters of __aiter__ and __anext__.

API reference

*~ coming soon ~*

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

asynced-1.0.0.tar.gz (17.3 kB view details)

Uploaded Source

Built Distribution

asynced-1.0.0-py3-none-any.whl (17.2 kB view details)

Uploaded Python 3

File details

Details for the file asynced-1.0.0.tar.gz.

File metadata

  • Download URL: asynced-1.0.0.tar.gz
  • Upload date:
  • Size: 17.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.13 CPython/3.10.4 Linux/5.13.0-40-generic

File hashes

Hashes for asynced-1.0.0.tar.gz
Algorithm Hash digest
SHA256 5f50d973d9799523af79da06e03570af40f9c8bf18259c891945fd32d715be4d
MD5 7379cbf4ebc50877eca805c45bd3a4c4
BLAKE2b-256 510bd096678a37133490aec0745982e02897566ca02323f4cbaf8fa48c932b64

See more details on using hashes here.

File details

Details for the file asynced-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: asynced-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 17.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.13 CPython/3.10.4 Linux/5.13.0-40-generic

File hashes

Hashes for asynced-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 e72cc613ff3e54ae938bfe35ba13205971865d0f9227eab00370106e9f9f819e
MD5 fb1b5b27439f4e54eec03997275e70c8
BLAKE2b-256 c5046a5cf6524ba69ff33092200bd4f76edc6aea68f29e8b69d9e6fe98a0d110

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page