Table of Contents

• Table of Contents
• Introduction
• Installation
• Usage
  • Decorators
    • @a_sync'async'
    • @a_sync'sync'
  • Classes
  • Modifiers
    • async modifiers
    • sync modifiers
    • Default Modifiers
  • Other Helpful Classes
    • ASyncIterable
    • ASyncIterator
    • ASyncFilter
    • ASyncSorter
• Other Helpful Modules
  • future
    • ASyncFuture
    • future decorator
  • asyncio

Introduction

ez-a-sync is a Python library that enables developers to write both synchronous and asynchronous code without having to write redundant code. It provides a decorator @a_sync(), as well as a base class ASyncGenericBase which can be used to create classes that can be executed in both synchronous and asynchronous contexts.

It also contains implementations of various asyncio primitives with extra functionality, including queues and various types of locks. # TODO add links to various objects' docs

Installation

ez-a-sync can be installed via pip:

pip install ez-a-sync

Usage

Decorators

ez-a-sync provides one decorator: @a_sync(). You can explicitly pass the type of function you want with @a_sync('sync') or @a_sync('async')

@a_sync('async')

The @a_sync('async') decorator can be used to define an asynchronous function that can also be executed synchronously.

@a_sync('async')
def some_function():
    ...

This function can then be executed asynchronously using await:

aaa = await some_function()

It can also be executed synchronously by passing sync=True or asynchronous=False:

aaa = some_function(sync=True)

@a_sync('sync')

The @a_sync('sync') decorator can be used to define a synchronous function that can also be executed asynchronously.

@a_sync('sync')
async def some_function():
    ...

This function can then be executed synchronously:

aaa = some_function()

It can also be overridden asynchronously by passing sync=False or asynchronous=True and using await:

aaa = await some_function(sync=False)

Classes

ez-a-sync also provides a base class ASyncGenericBase that can be used to create classes that can be executed in both synchronous and asynchronous contexts. To create an asynchronous class, simply inherit from ASyncGenericBase and set asynchronous=True:

class CoolAsyncClass(ASyncGenericBase):
    asynchronous=True
    
    def some_sync_fn():
       ...   

In this example, CoolAsyncClass has asynchronous=True, which means it is an asynchronous class. You can call some_sync_fn asynchronously using await:

aaa = await CoolAsyncClass().some_sync_fn()

CoolAsyncClass functions can also be called synchronously by passing sync=True:

aaa = CoolAsyncClass().some_sync_fn(sync=True)

Similarly, you can create a synchronous class by setting sync=True or asynchronous=False:

class CoolSyncClass(ASyncGenericBase):
    asynchronous=False
    
    async def some_async_fn():
       ...

CoolSyncClass functions can be called synchronously:

aaa = CoolSyncClass().some_async_fn()

It can also be called asynchronously by passing sync=False or asynchronous=True and using await:

aaa = await CoolSyncClass().some_async_fn(sync=False)

You can also create a class which functions can be executed in both synchronous and asynchronous contexts by not setting the asynchronous or sync attribute (both can be used interchangeably, pick your favorite) and passing it as an argument when creating an instance:

class CoolDualClass(ASyncGenericBase):
    def __init__(self, asynchronous):
        self.asynchronous=asynchronous
    
    async def some_async_fn():
       ...

You can create an instance of CoolDualClass with sync=False or asynchronous=True to call it asynchronously:

async_instance = CoolDualClass(asynchronous=True)
aaa = await async_instance.some_async_fn()
aaa = async_instance.some_async_fn(sync=True)

You can also create an instance with sync=True or asynchronous=False to call it synchronously:

sync_instance = CoolDualClass(asynchronous=False)
aaa = sync_instance.some_async_fn()
aaa = sync_instance.some_async_fn(sync=False)

Modifiers

The ez-a-sync library provides several settings that can be used to customize the behavior of the decorators and classes.

To apply settings to the decorators or base classes, simply pass them as keyword arguments when calling the decorator or creating an instance.

For example, to apply cache_type='memory' to a function decorated with @a_sync('async'), you would do the following:

@a_sync('async', cache_type='memory')
def some_function():
    ...

async modifiers

The @a_sync('async') decorator has the following settings:

• cache_type: This can be set to None or 'memory'. 'memory' is a LRU cache which can be modified with the cache_typed, ram_cache_maxsize, and ram_cache_ttl modifiers.
• cache_typed: Set to True if you want types considered treated for cache keys. i.e. with cache_typed=True, Decimal(0) and 0 will be considered separate keys.
• ram_cache_maxsize: The maxsize for your LRU cache. Set to None if the cache is unbounded. If you set this value without specifying a cache type, 'memory' will automatically be applied.
• ram_cache_ttl: The TTL for items in your LRU cache. Set to None. If you set this value without specifying a cache type, 'memory' will automatically be applied.
• runs_per_minute: Setting this value enables a rate limiter for the decorated function.
• semaphore: Drop in a Semaphore for your async defined functions.

sync modifiers

The @a_sync('sync') decorator has the following setting:

• executor: The executor for the synchronous function. Set to the library's default of config.default_sync_executor.

Default Modifiers

Instead of setting modifiers one by one in functions, you can set a default value for modifiers using ENV variables:

• DEFAULT_MODE
• CACHE_TYPE
• CACHE_TYPED
• RAM_CACHE_MAXSIZE
• RAM_CACHE_TTL
• RUNS_PER_MINUTE
• SEMAPHORE

Other Helpful Classes

ASyncIterable

The ASyncIterable class allows objects to be iterated over using either a standard for loop or an async for loop. This is particularly useful in scenarios where the mode of iteration needs to be flexible or is determined at runtime.

from a_sync import ASyncIterable

async_iterable = ASyncIterable(some_async_iterable)

# Asynchronous iteration
async for item in async_iterable:
    ...

# Synchronous iteration
for item in async_iterable:
    ...

See the documentation for more information.

ASyncIterator

The ASyncIterator class provides a unified interface for iteration that can operate in both synchronous and asynchronous contexts. It allows the wrapping of asynchronous iterable objects or async generator functions.

from a_sync import ASyncIterator

async_iterator = ASyncIterator(some_async_iterator)

# Asynchronous iteration
async for item in async_iterator:
    ...

# Synchronous iteration
for item in async_iterator:
    ...

See the documentation for more information.

ASyncFilter

The ASyncFilter class filters items of an async iterable based on a provided function. It can handle both synchronous and asynchronous filter functions.

from a_sync import ASyncFilter

async def is_even(x):
    return x % 2 == 0

filtered_iterable = ASyncFilter(is_even, some_async_iterable)

# or use the alias
import a_sync

filtered_iterable = a_sync.filter(is_even, some_async_iterable)

# Asynchronous iteration
async for item in filtered_iterable:
    ...

# Synchronous iteration
for item in filtered_iterable:
    ...

See the documentation for more information.

ASyncSorter

The ASyncSorter class sorts items of an async iterable based on a provided key function. It supports both synchronous and asynchronous key functions.

from a_sync import ASyncSorter

sorted_iterable = ASyncSorter(some_async_iterable, key=lambda x: x.value)

# or use the alias
import a_sync

sorted_iterable = a_sync.sort(some_async_iterable, key=lambda x: x.value)

# Asynchronous iteration
async for item in sorted_iterable:
    ...

# Synchronous iteration
for item in sorted_iterable:
    ...

See the documentation for more information.

Other Helpful Modules

The stuff here is unrelated to the main purpose of ez-a-sync, but cool and useful nonetheless

asyncio

The ez-a-sync library extends the functionality of Python's asyncio module with additional utilities to simplify asynchronous programming.

• as_completed: This function allows you to iterate over awaitables as they complete, similar to asyncio.as_completed. It supports both synchronous and asynchronous iteration. Learn more about as_completed.

• gather: A utility to run multiple asynchronous operations concurrently and wait for all of them to complete. It is similar to asyncio.gather but integrates seamlessly with the ez-a-sync library. Learn more about gather.

• create_task: A function to create a new task from a coroutine, similar to asyncio.create_task, but with additional features provided by ez-a-sync. Learn more about create_task.

• as_completed: This function allows you to iterate over awaitables as they complete, similar to asyncio.as_completed. It supports both synchronous and asynchronous iteration. Learn more about as_completed.

These utilities enhance the standard asyncio module, providing more flexibility and control over asynchronous operations. For detailed documentation and examples, please refer to the documentation

future

The future module is something totally different. TODO: short explainer of module value prop and use case

ASyncFuture

documentation TODO: short explainers on ASyncFuture class

future decorator

documentation TODO: short explainers on future fn