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I need to process several pages of data from server. I would like to make a generator for it like this. Unfortunately I get TypeError: 'async_generator' object is not iterable
async def get_data():
i = 0
while i < 3:
i += 1
data = await http_call() # call to http-server here
yield data
data = [i for i in get_data()] # inside a loop
Next variant raises TypeError: object async_generator can't be used in 'await' expression
data = [i for i in await get_data()] # inside a loop
477
In Python, we can do this using the async keyword before the function definition. Execution of this coroutine results in a coroutine object.
Asynchronous generators Simply put these are generators written in asynchronous functions (instead of def function(..) they use async def function(..) So to convert next_delay function from previous example we just add async keyword before def.
Async arrow functions async () => {} Generator functions function*() {} Async generator functions async function*() {}
Python 3's asyncio module provides fundamental tools for implementing asynchronous I/O in Python. It was introduced in Python 3.4, and with each subsequent minor release, the module has evolved significantly. This tutorial contains a general overview of the asynchronous paradigm, and how it's implemented in Python 3.7.
Use async for in your comprehension. See PEP 530 -- Asynchronous Comprehensions
data = [i async for i in get_data()]
Depending on what version of Python you're using, this may only be available in async def functions.
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