[Python-ideas] Re: Fill in missing contextvars/asyncio task support

2021-06-24 Thread Mark Gordon
I've read the PEP and understand what's implemented. However there is pretty 
limited discussion about what the design constraints were and what 
intended/recommended usage would look like. I'll answer my own question:

1. If all we wanted was a version of TLS that worked in an analogous way 
extending (synchronous code, threads) to (async code, tasks) then you don't 
need anything fancy, a simple dictionary backing the "context" will do. This is 
all that you need to solve the "decimal formatting" problem, for instance.

2. However, the scope of PEP 567 was increased to something greater. It was 
decided that we want tasks/threads to be able to inherit an existing context. 
This is a unique feature with no analog in TLS. I believe a motivating use case 
was for a request/response server that may spawn worker tasks off the main task 
and want to store request context information in contextvars.

3. Additionally, to continue to have the "decimal formatting" solution work 
correctly it's necessary that no two tasks/threads are running on the same 
context. This means "inherting" should mean "running on a copy of".

These constraints strongly suggest an interface of:

contextvars.get_context() -> Context
Context.run_in_copy(func) -> Context
Context.async_run_in_copy(coro) -> Context
*** NoContext.run method, no copy methods needed either ***

So what was the motivation behind having a copy_context() and a non-copying 
Context.run method? It seems to break the third design constraint allowing you 
to have multiple threads try and run on the same Context.

Nonetheless, "asyncio.run_in_context()" is a direct analog of "Context.run" and 
should be a clear add to the API from a symmetry point of view. We are already 
beyond the point where constraint three is being strictly enforced. I'm not 
sure what argument against this API wouldn't apply to "Context.run()" as well.

If it's still a -1 on "asyncio.run_in_context()" what about 
"asyncio.run_in_context_copy(context, coro) -> Context" that copies the passed 
context and runs the coroutine in the task using that context? If we go this 
route maybe we would plan on deprecating Context.run and replacing it with a 
Context.run_in_copy method?
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[Python-ideas] Re: Fill in missing contextvars/asyncio task support

2021-06-23 Thread Paul Bryan
On Wed, 2021-06-23 at 21:18 -0700, yselivanov...@gmail.com wrote:

> I'm +1 to add a 'context' keyword-argument to
> 'asyncio.create_task()'. It will still be copied. I believe I've
> explained *why* the copy is still necessary in this thread.

+1.

Paul

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[Python-ideas] Re: Fill in missing contextvars/asyncio task support

2021-06-23 Thread yselivanov . ml



On Wed, Jun 23 2021 at 05:16:00 PM -, Mark Gordon 
 wrote:

 That's a feature :) Perhaps we should add an example to the docs.


What do you view as the point of the copy semantics, then?


Are you asking why the context is using immutable data-structures 
internally, in the first place? Please read the PEP, it explains that 
in great detail. Short answer: performance; it has nothing to do with 
*what* is stored in the context. It can store mutable objects, that's 
totally OK for aggregating metrics, for example.




 There's not much wrong about this approach for simple coroutines. 
But

 if a coroutine runs its own tasks or code that forks the context
 inside, you won't see those changes in your context.


I thought you were against this usage pattern anyway. Not sure what 
this has to do with the proposed API change.



 In other words,
 the hack you propose will work for some cases, and fail for others.


It seems like you are assuming a purpose to this API that I did not 
intend. It really is just so you can change a context that a task is 
running within without creating a new task. It's really just to be an 
analog of Context.run.


I'm +1 to add a 'context' keyword-argument to 'asyncio.create_task()'. 
It will still be copied. I believe I've explained *why* the copy is 
still necessary in this thread.


Yury



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[Python-ideas] Re: Fill in missing contextvars/asyncio task support

2021-06-23 Thread Mark Gordon
> That's a feature :) Perhaps we should add an example to the docs.

What do you view as the point of the copy semantics, then?

> There's not much wrong about this approach for simple coroutines. But 
> if a coroutine runs its own tasks or code that forks the context 
> inside, you won't see those changes in your context.

I thought you were against this usage pattern anyway. Not sure what this has to 
do with the proposed API change.

> In other words, 
> the hack you propose will work for some cases, and fail for others.

It seems like you are assuming a purpose to this API that I did not intend. It 
really is just so you can change a context that a task is running within 
without creating a new task. It's really just to be an analog of Context.run.
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[Python-ideas] Re: Fill in missing contextvars/asyncio task support

2021-06-23 Thread yselivanov . ml



On Tue, Jun 22 2021 at 04:40:45 AM -, Mark Gordon 
 wrote:

Yury Selivanov wrote:
 On Mon, Jun 21, 2021 at 7:20 PM Mark Gordon msg...@gmail.com 
 wrote:
 > Yeah, it would indeed inherit the copy. We could, theoretically, 
make
 > asyncio.Task accept context objects and not copy them, but what 
would

 > that
 > give us?
 > My main thinking was to just be similar to the closest 
synchronous analog
 > I'm aware of, contextvars.Context.run. I would think an 
explanation of why
 > the Context object API exists as it does, letting you manipulate 
and run in
 > contexts directly, would equally motivate the async analogs. 
Maybe the
 > exception would be if this API exists purely just to support 
async tasks

 > (then maybe it should be private?).
 > At any rate, the issue attached to the pull requests gives one 
example of
 > seeking to do asyncio tests with providing fixture data through 
an existing
 > context object. I could also imagine a use case of wanting to 
track the
 > number of database requests made within a logical request that 
may span
 > multiple tasks. Having the subtasks inherit the same context 
could help

 > with this.
 > To track things like database requests just put a mutable object 
in the
 context somewhere at the top level, referenced by a well-known 
contextvar
 in your code. That single object will be part of all contexts 
derived from

 the top one throughout the application lifecycle.


Using mutable objects in contexts seems strange as it works against 
their copy semantics. I agree it will work in this use case.


That's a feature :) Perhaps we should add an example to the docs.




 > *Ultimately, contextvars enable implicit flow
 > of information from outer code to nested code and not vice versa. 
*
 > Just to clarify, are you stating an established position of the 
python
 > community or is this your personal view of how context vars 
should be used?
 > I'm stating this as the original contextvars PEP author and 
implementer. I


Oh very cool, thanks for taking the time to look at this.


 don't see how the reverse flow is possible to implement within all
 restrictions of the design space. To propagate information from 
nested

 calls to outer calls just use mutable objects, as I outlined above.
 > Additionally (obviously) it will also be running in a separate 
task.
 > There's no way around that, unfortunately. Even if we add some 
kind of
 > helper to run coroutines in a context, there still we be a task 
object

 > that
 > iterates the coroutine.
 > I was just pointing out that the stated work-around requires 
creating an
 > additional task to run the called coroutine rather than running 
directly in

 > the calling task.
 > Yes, and I'm saying that running a coroutine "directly on the 
stack" within
 some context is not technically possible, without wrapping it into 
a Task.


Is there something wrong with the solution of changing the context 
associated with a task before execution, yielding, run the coroutine, 
then swap it back and yield again when the coroutine exits? This is 
the hacky solution that appears to work for me on python 3.8 if I 
force use of _PyTask (and the linked PR extends this idea to work for 
the CTask implementation).


There's not much wrong about this approach for simple coroutines. But 
if a coroutine runs its own tasks or code that forks the context 
inside, you won't see those changes in your context. In other words, 
the hack you propose will work for some cases, and fail for others. So 
that's why I'm -1 on changing the API that way.


Yury

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[Python-ideas] Re: Fill in missing contextvars/asyncio task support

2021-06-21 Thread Mark Gordon
Yury Selivanov wrote:
> On Mon, Jun 21, 2021 at 7:20 PM Mark Gordon msg...@gmail.com wrote:
> > Yeah, it would indeed inherit the copy. We could, theoretically, make
> > asyncio.Task accept context objects and not copy them, but what would
> > that
> > give us?
> > My main thinking was to just be similar to the closest synchronous analog
> > I'm aware of, contextvars.Context.run. I would think an explanation of why
> > the Context object API exists as it does, letting you manipulate and run in
> > contexts directly, would equally motivate the async analogs. Maybe the
> > exception would be if this API exists purely just to support async tasks
> > (then maybe it should be private?).
> > At any rate, the issue attached to the pull requests gives one example of
> > seeking to do asyncio tests with providing fixture data through an existing
> > context object. I could also imagine a use case of wanting to track the
> > number of database requests made within a logical request that may span
> > multiple tasks. Having the subtasks inherit the same context could help
> > with this.
> > To track things like database requests just put a mutable object in the
> context somewhere at the top level, referenced by a well-known contextvar
> in your code. That single object will be part of all contexts derived from
> the top one throughout the application lifecycle.

Using mutable objects in contexts seems strange as it works against their copy 
semantics. I agree it will work in this use case.

> > *Ultimately, contextvars enable implicit flow
> > of information from outer code to nested code and not vice versa. *
> > Just to clarify, are you stating an established position of the python
> > community or is this your personal view of how context vars should be used?
> > I'm stating this as the original contextvars PEP author and implementer. I

Oh very cool, thanks for taking the time to look at this.

> don't see how the reverse flow is possible to implement within all
> restrictions of the design space. To propagate information from nested
> calls to outer calls just use mutable objects, as I outlined above.
> > Additionally (obviously) it will also be running in a separate task.
> > There's no way around that, unfortunately. Even if we add some kind of
> > helper to run coroutines in a context, there still we be a task object
> > that
> > iterates the coroutine.
> > I was just pointing out that the stated work-around requires creating an
> > additional task to run the called coroutine rather than running directly in
> > the calling task.
> > Yes, and I'm saying that running a coroutine "directly on the stack" within
> some context is not technically possible, without wrapping it into a Task.

Is there something wrong with the solution of changing the context associated 
with a task before execution, yielding, run the coroutine, then swap it back 
and yield again when the coroutine exits? This is the hacky solution that 
appears to work for me on python 3.8 if I force use of _PyTask (and the linked 
PR extends this idea to work for the CTask implementation).

import asyncio.tasks
asyncio.tasks.Task = asyncio.tasks._PyTask
import asyncio
import contextvars

var = contextvars.ContextVar('var', default=123)

async def run_in_context(context, coro):
task = asyncio.current_task()
prev_context = task._context
task._context = context
await asyncio.sleep(0)

try:
return await coro
finally:
task._context = prev_context  
await asyncio.sleep(0)

async def foo(x):
old_val = var.get()
var.set(x)
return old_val

async def main():
var.set(5)

context = contextvars.Context()
print(await run_in_context(context, foo(555))) # 123
print(var.get()) # 5
print(await run_in_context(context, foo(999))) # 555
print(var.get()) # 5
print(context.run(var.get)) # 999

asyncio.run(main())


> > I guess we can add a keyword argument to asyncio.create_task() for that.
> > It
> > is an open question if the task factory would just use the passed context
> > object or would copy it first. I'm leaning towards the latter.
> > My vote would be for not a copy as mentioned above.
> > Having a asyncio.run_in_context(context, coro()) API is more important as
> > this feature is currently completely missing. So happy to table this if we
> > can't decide on if/what semantics this task kwarg API change should have.
> > Is asyncio.run_in_context() a version of asyncio.run() or a shortcut for
> Context.run(asyncio.create_task, coro)?

Yeah I mean it to be more or less the same except without creating a new task 
(which maybe is impossible?).

> Yury
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[Python-ideas] Re: Fill in missing contextvars/asyncio task support

2021-06-21 Thread Yury Selivanov
On Mon, Jun 21, 2021 at 7:20 PM Mark Gordon  wrote:

> > Yeah, it would indeed inherit the copy. We could, theoretically, make
> > asyncio.Task accept context objects and not copy them, but what would
> that
> > give us?
>
> My main thinking was to just be similar to the closest synchronous analog
> I'm aware of, contextvars.Context.run. I would think an explanation of why
> the Context object API exists as it does, letting you manipulate and run in
> contexts directly, would equally motivate the async analogs. Maybe the
> exception would be if this API exists purely just to support async tasks
> (then maybe it should be private?).
>
> At any rate, the issue attached to the pull requests gives one example of
> seeking to do asyncio tests with providing fixture data through an existing
> context object. I could also imagine a use case of wanting to track the
> number of database requests made within a logical request that may span
> multiple tasks. Having the subtasks inherit the same context could help
> with this.
>

To track things like database requests just put a mutable object in the
context somewhere at the top level, referenced by a well-known contextvar
in your code. That single object will be part of all contexts derived from
the top one throughout the application lifecycle.


> > *Ultimately, contextvars enable implicit flow
> > of information from outer code to nested code and not vice versa. *
>
> Just to clarify, are you stating an established position of the python
> community or is this your personal view of how context vars should be used?
>

I'm stating this as the original contextvars PEP author and implementer. I
don't see how the reverse flow is possible to implement within all
restrictions of the design space. To propagate information from nested
calls to outer calls just use mutable objects, as I outlined above.


>
> > > Additionally (obviously) it will also be running in a separate task.
> > There's no way around that, unfortunately. Even if we add some kind of
> > helper to run coroutines in a context, there still we be a task object
> that
> > iterates the coroutine.
>
> I was just pointing out that the stated work-around requires creating an
> additional task to run the called coroutine rather than running directly in
> the calling task.
>

Yes, and I'm saying that running a coroutine "directly on the stack" within
some context is not technically possible, without wrapping it into a Task.


>
> > I guess we can add a keyword argument to asyncio.create_task() for that.
> It
> > is an open question if the task factory would just use the passed context
> > object or would copy it first. I'm leaning towards the latter.
>
> My vote would be for not a copy as mentioned above.
>
> Having a asyncio.run_in_context(context, coro()) API is more important as
> this feature is currently completely missing. So happy to table this if we
> can't decide on if/what semantics this task kwarg API change should have.
>

Is asyncio.run_in_context() a version of asyncio.run() or a shortcut for
Context.run(asyncio.create_task, coro)?

Yury
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[Python-ideas] Re: Fill in missing contextvars/asyncio task support

2021-06-21 Thread Mark Gordon
> Yeah, it would indeed inherit the copy. We could, theoretically, make
> asyncio.Task accept context objects and not copy them, but what would that
> give us?

My main thinking was to just be similar to the closest synchronous analog I'm 
aware of, contextvars.Context.run. I would think an explanation of why the 
Context object API exists as it does, letting you manipulate and run in 
contexts directly, would equally motivate the async analogs. Maybe the 
exception would be if this API exists purely just to support async tasks (then 
maybe it should be private?).

At any rate, the issue attached to the pull requests gives one example of 
seeking to do asyncio tests with providing fixture data through an existing 
context object. I could also imagine a use case of wanting to track the number 
of database requests made within a logical request that may span multiple 
tasks. Having the subtasks inherit the same context could help with this.

> *Ultimately, contextvars enable implicit flow
> of information from outer code to nested code and not vice versa. *

Just to clarify, are you stating an established position of the python 
community or is this your personal view of how context vars should be used?

> > Additionally (obviously) it will also be running in a separate task.
> There's no way around that, unfortunately. Even if we add some kind of
> helper to run coroutines in a context, there still we be a task object that
> iterates the coroutine.

I was just pointing out that the stated work-around requires creating an 
additional task to run the called coroutine rather than running directly in the 
calling task.

> I guess we can add a keyword argument to asyncio.create_task() for that. It
> is an open question if the task factory would just use the passed context
> object or would copy it first. I'm leaning towards the latter.

My vote would be for not a copy as mentioned above.

Having a asyncio.run_in_context(context, coro()) API is more important as this 
feature is currently completely missing. So happy to table this if we can't 
decide on if/what semantics this task kwarg API change should have.

-Mark
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[Python-ideas] Re: Fill in missing contextvars/asyncio task support

2021-06-21 Thread Yury Selivanov
> However this is not exactlly the same as the task will inherit a copy of
my_context rather than running directly on my_context.

Yeah, it would indeed inherit the copy. We could, theoretically, make
asyncio.Task accept context objects and not copy them, but what would that
give us? If a coroutine awaits on some code that calls `copy_context()`
internally you will not be able to observe the modifications that code
makes to its forked context. *Ultimately, contextvars enable implicit flow
of information from outer code to nested code and not vice versa. *

> Additionally (obviously) it will also be running in a separate task.

There's no way around that, unfortunately. Even if we add some kind of
helper to run coroutines in a context, there still we be a task object that
iterates the coroutine.

> Similarly it would be nice if create_task and the Task constructor could
take an optional context kwarg to use as the task context rather than the
default of copying the calling context.

I guess we can add a keyword argument to asyncio.create_task() for that. It
is an open question if the task factory would just use the passed context
object or would copy it first. I'm leaning towards the latter.

Yury



On Sun, Jun 20, 2021 at 3:13 PM Mark Gordon  wrote:

> With normal synchronous code you can use `contextvars.Context.run()` to
> change what context code is executing within. However, there is no
> analagous concept for asyncio code. I'm proposing something similar, for
> example:
>
> coro = foo()
> my_context = convextvars.Context()
> await asyncio.run_in_context(coro)
>
> Currently the workaround is to run the coroutine on a separate task.
>
> coro = foo()
> my_context = convextvars.Context()
> await my_context.run(asycnio.create_task, coro)
>
> However this is not exactlly the same as the task will inherit a copy of
> my_context rather than running directly on my_context. Additionally
> (obviously) it will also be running in a separate task.
>
> Similarly it would be nice if create_task and the Task constructor could
> take an optional context kwarg to use as the task context rather than the
> default of copying the calling context.
>
> Pull request with sample implementation (although I think missing the
> change to create_task): https://github.com/python/cpython/pull/26664
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-- 
 Yury
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