This repository provides:
- PEP 561 typing stubs packages for the Trio project packages:
- trio (
trio-stubs
) - outcome (
outcome-stubs
) - async_generator
(
async_generator-stubs
)
- trio (
- A package
trio_typing
containing types that Trio programs often want to refer to (Nursery
,AsyncGenerator[Y, S]
,TaskStatus[T]
) and a mypy plugin that smooths over some limitations in the basic type hints.
To type-check code that uses trio-typing
, you need CPython 3.5.2
or later. (Mypy requires 3.5.2+, and its dependency typed-ast
doesn't support PyPy.) We test on Linux using the latest releases
from the 3.5, 3.6, and 3.7 branches, as well as 3.8-dev nightly. We're
not knowingly doing anything OS-specific, so other OSes should work
too.
You can run code that uses trio-typing
on any platform
supported by Trio, includng PyPy and CPython 3.5.0 and 3.5.1.
Type checkers other than Mypy are not supported, but might work. Experience reports and patches to add support are welcome.
Install with:
pip install -U trio-typing
Enable the plugin in your mypy.ini
(optional, but recommended):
[mypy] plugins = trio_typing.plugin
Start running mypy on your Trio code! You may want to import some typing
names from trio_typing
, like Nursery
and TaskStatus
; see below
for more details.
The stubs packages provide types for all public non-deprecated APIs of
trio
, outcome
, and async_generator
, as of the release date
of the corresponding trio-typing
distribution. You don't need to
explicitly configure these; just say import trio
(for example)
and mypy will know to look in trio-stubs
for the type information.
The trio_typing
package provides:
- Names for two important types that Trio keeps anonymous:
Nursery
andTaskStatus[T]
(whereT
is the type of the value the task provides to be returned fromnursery.start()
). These are implemented as ABCs, and the actual private types inside Trio (liketrio._core._run.Nursery
) are registered as virtual subclasses of them. So, you can't instantiate thetrio_typing
types, butisinstance(nursery, trio_typing.Nursery)
wherenursery
is a Trio nursery object does return True. - A backport of
typing.AsyncGenerator[YieldT, SendT]
to Python 3.5. (YieldT
is the type of values yielded by the generator, andSendT
is the type of values it accepts as an argument toasend()
.) This is an abstract class describing the async generator interface:AsyncIterator
plusasend
,athrow
,aclose
, and theag_*
introspection attributes. On 3.6+,trio_typing.AsyncGenerator
is just a reexport oftyping.AsyncGenerator
. CompatAsyncGenerator[YieldT, SendT, ReturnT]
, a name for the otherwise-anonymous concrete async generator type returned by@async_generator
functions. It is a subtype ofAsyncGenerator[YieldT, SendT]
and provides the same methods. (Native async generators don't have aReturnT
; it is only relevant in determining the return type ofawait async_generator.yield_from_()
.)- A few types that are only useful with the mypy plugin:
YieldType[T]
,SendType[T]
,ArgsForCallable
, and the decorator@takes_callable_and_args
.
The trio_typing.plugin
mypy plugin provides:
Argument type checking for functions decorated with
@asynccontextmanager
(either the one inasync_generator
or the one in 3.7+contextlib
) and@async_generator
Inference of more specific
trio.open_file()
andtrio.Path.open()
return types based on constantmode
andbuffering
arguments, soawait trio.open_file("foo", "rb", 0)
returns an unbuffered async file object in binary mode andawait trio.open_file("bar")
returns an async file object in text modeSignature checking for
task_status.started()
with no arguments, so it raises an error if thetask_status
object is not of typeTaskStatus[None]
Boilerplate reduction for functions that take parameters
(fn, *args)
and ultimately invokefn(*args)
: just write@trio_typing.takes_callable_and_args def start_soon( async_fn: Callable[[trio_typing.ArgsForCallable], Awaitable[T]], *args: ArgsForCallable, other_keywords: str = are_ok_too, ): # your implementation here
start_soon(async_fn, *args)
will raise an error ifasync_fn(*args)
would do so. You can also make the callable take some non-splatted arguments; the*args
get inserted at whatever position in the argument list you writeArgsForCallable
.Note: due to mypy limitations, we only support a maximum of 5 positional arguments, and keyword arguments can't be passed in this way;
nursery.start_soon(functools.partial(...))
will pass the type checker but won't be able to actually check the argument types.Mostly-full support for type checking
@async_generator
functions. You write the decorated function as if it returned a union of its actual return type, its yield type wrapped inYieldType[]
, and its send type wrapped inSendType[]
:from trio_typing import YieldType, SendType @async_generator async def sleep_and_sqrt() -> Union[None, SendType[int], YieldType[float]]: next_yield = 0.0 while True: amount = await yield_(next_yield) # amount is an int if amount < 0: return None await trio.sleep(amount) next_yield = math.sqrt(amount) # prints: CompatAsyncGenerator[float, int, None] reveal_type(sleep_and_sqrt())
Calls to
yield_
andyield_from_
inside an@async_generator
function are type-checked based on these declarations. If you leave off either the yield type or send type, the missing one is assumed to beNone
; if you leave off both (writing justasync def sleep_and_sqrt() -> None:
, like you would if you weren't using the plugin), they're both assumed to beAny
.Note the explicit
return None
; mypy won't acceptreturn
or falling off the end of the function, unless you run it with--no-warn-no-return
.
- Calls to variadic Trio functions like
trio.run()
,nursery.start_soon()
, and so on, only can type-check up to five positional arguments. (This number could be increased easily, but only at the cost of slower typechecking for everyone; mypy's current architecture requires that we generate overload sets initially for every arity we want to be able to use.) You can work around this with a# type: ignore
comment. outcome.capture()
andoutcome.acapture()
currently don't typecheck their arguments at all.
trio-typing
comes with a fairly extensive testsuite; it doesn't test all
the mechanical parts of the stubs, but does exercise most of the interesting
plugin behavior. You can run it after installing, with:
pytest -p trio_typing._tests.datadriven --pyargs trio_typing
Your choice of MIT or Apache 2.0.