Detect if the input ref is a non-func (like an `object` instance) in
which case grab its type name using `type()`. Wrap all the name-getting
into a new `_mk_fqpn()` static meth: gets the "fully qualified path
name" and returns path and name in tuple; port other methds to use it.
Refine and update the docs B)
- `Context._cancel_called_remote` -> `._cancelled_remote` since "called"
implies the cancellation was "requested" when it could be due to
another error and the actor uid is the value - only set once the far
end task scope is terminated due to either error or cancel, which has
nothing to do with *what* caused the cancellation.
- `Actor._cancel_called_remote` -> `._cancel_called_by_remote` which
emphasizes that this variable is **only set** IFF some remote actor
**requested that** this actor's runtime be cancelled via
`Actor.cancel()`.
Turns out you can get a case where you might be opening multiple
ctx-streams concurrently and during the context opening phase you block
for all contexts to open, but then when you eventually start opening
streams some slow to start context has caused the others become in an
overrun state.. so we need to let the caller control whether that's an
error ;)
This also needs a test!
Because obviously we probably want to support `allow_overruns` on the
remote callee side as well XD
Only found the bugs fixed in this patch this thanks to writing a much
more exhaustive test set for overrun cases B)
This actually caught further runtime bugs so it's gud i tried..
Add overrun-ignore enabled / disabled cases and error catching for all
of them. More or less this should cover every possible outcome when
it comes to setting `allow_overruns: bool` i hope XD
This adds remote cancellation semantics to our `tractor.Context`
machinery to more closely match that of `trio.CancelScope` but
with operational differences to handle the nature of parallel tasks interoperating
across multiple memory boundaries:
- if an actor task cancels some context it has opened via
`Context.cancel()`, the remote (scope linked) task will be cancelled
using the normal `CancelScope` semantics of `trio` meaning the remote
cancel scope surrounding the far side task is cancelled and
`trio.Cancelled`s are expected to be raised in that scope as per
normal `trio` operation, and in the case where no error is raised
in that remote scope, a `ContextCancelled` error is raised inside the
runtime machinery and relayed back to the opener/caller side of the
context.
- if any actor task cancels a full remote actor runtime using
`Portal.cancel_actor()` the same semantics as above apply except every
other remote actor task which also has an open context with the actor
which was cancelled will also be sent a `ContextCancelled` **but**
with the `.canceller` field set to the uid of the original cancel
requesting actor.
This changeset also includes a more "proper" solution to the issue of
"allowing overruns" during streaming without attempting to implement any
form of IPC streaming backpressure. Implementing task-granularity
backpressure cross-process turns out to be more or less impossible
without augmenting out streaming protocol (likely at the cost of
performance). Further allowing overruns requires special care since
any blocking of the runtime RPC msg loop task effectively can block
control msgs such as cancels and stream terminations.
The implementation details per abstraction layer are as follows.
._streaming.Context:
- add a new contructor factor func `mk_context()` which provides
a strictly private init-er whilst allowing us to not have to define
an `.__init__()` on the type def.
- add public `.cancel_called` and `.cancel_called_remote` properties.
- general rename of what was the internal `._backpressure` var to
`._allow_overruns: bool`.
- move the old contents of `Actor._push_result()` into a new
`._deliver_msg()` allowing for better encapsulation of per-ctx
msg handling.
- always check for received 'error' msgs and process them with the new
`_maybe_cancel_and_set_remote_error()` **before** any msg delivery to
the local task, thus guaranteeing error and cancellation handling
despite any overflow handling.
- add a new `._drain_overflows()` task-method for use with new
`._allow_overruns: bool = True` mode.
- add back a `._scope_nursery: trio.Nursery` (allocated in
`Portal.open_context()`) who's sole purpose is to spawn a single task
which runs the above method; anything else is an error.
- augment `._deliver_msg()` to start a task and run the above method
when operating in no overrun mode; the task queues overflow msgs and
attempts to send them to the underlying mem chan using a blocking
`.send()` call.
- on context exit, any existing "drainer task" will be cancelled and
remaining overflow queued msgs are discarded with a warning.
- rename `._error` -> `_remote_error` and set it in a new method
`_maybe_cancel_and_set_remote_error()` which is called before
processing
- adjust `.result()` to always call `._maybe_raise_remote_err()` at its
start such that whenever a `ContextCancelled` arrives we do logic for
whether or not to immediately raise that error or ignore it due to the
current actor being the one who requested the cancel, by checking the
error's `.canceller` field.
- set the default value of `._result` to be `id(Context()` thus avoiding
conflict with any `.result()` actually being `False`..
._runtime.Actor:
- augment `.cancel()` and `._cancel_task()` and `.cancel_rpc_tasks()` to
take a `requesting_uid: tuple` indicating the source actor of every
cancellation request.
- pass through the new `Context._allow_overruns` through `.get_context()`
- call the new `Context._deliver_msg()` from `._push_result()` (since
the factoring out that method's contents).
._runtime._invoke:
- `TastStatus.started()` back a `Context` (unless an error is raised)
instead of the cancel scope to make it easy to set/get state on that
context for the purposes of cancellation and remote error relay.
- always raise any remote error via `Context._maybe_raise_remote_err()`
before doing any `ContextCancelled` logic.
- assign any `Context._cancel_called_remote` set by the `requesting_uid`
cancel methods (mentioned above) to the `ContextCancelled.canceller`.
._runtime.process_messages:
- always pass a `requesting_uid: tuple` to `Actor.cancel()` and
`._cancel_task` to that any corresponding `ContextCancelled.canceller`
can be set inside `._invoke()`.
To handle both remote cancellation this adds `ContextCanceled.canceller:
tuple` the uid of the cancel requesting actor and is expected to be set
by the runtime when servicing any remote cancel request. This makes it
possible for `ContextCancelled` receivers to know whether "their actor
runtime" is the source of the cancellation.
Also add an explicit `RemoteActor.src_actor_uid` which better formalizes
the notion of "which remote actor" the error originated from.
Both of these new attrs are expected to be packed in the `.msgdata` when
the errors are loaded locally.
Previously we were leaking our (pdb++) override into the Python runtime
which would always result in a runtime error whenever `breakpoint()` is
called outside our runtime; after exit of the root actor . This
explicitly restores any previous hook override (detected during startup)
or deletes the hook and restores the environment if none existed prior.
Also adds a new WIP debugging example script to ensure breakpointing
works as normal after runtime close; this will be added to the test
suite.
Makes the broadcast test suite not hang xD, and is our expected default
behaviour. Also removes a ton of commented legacy cruft from before the
refactor to remove the `.receive()` recursion and fixes some typing.
Oh right, and in the case where there's only one subscriber left we warn
log about it since in theory we could actually entirely unwind the
bcaster back to the original underlying, though not sure if that's sane
or works for some use cases (like wanting to have some other subscriber
get added dynamically later).
Since one-way streaming can be accomplished by just *not* sending on one
side (and/or thus wrapping such usage in a more restrictive API), we
just drop the recv-only parent type. The only method different was
`MsgStream.send()`, now merged in. Further in usage of `.subscribe()`
we monkey patch the underlying stream's `.send()` onto the delivered
broadcast receiver so that subscriber tasks can two-way stream as though
using the stream directly.
This allows us to more definitively drop `tractor.open_stream_from()` in
the longer run if we so choose as well; note currently this will
potentially create an issue if a caller tries to `.send()` on such a one
way stream.
Driven by a bug found in `piker` where we'd get an inf recursion error
due to `BroadcastReceiver.receive()` being called when consumer tasks
are awoken but no value is ready to `.nowait_receive()`.
This new rework takes an approach closer to the interface and internals
of `trio.MemoryReceiveChannel` particularly in terms of,
- implementing a `BroadcastReceiver.receive_nowait()` and using it
within the async `.receive()`.
- failing over to an internal `._receive_from_underlying()` when the
`_nowait()` call raises `trio.WouldBlock`.
- adding `BroadcastState.statistics()` for debugging and testing
dropping recursion from `.receive()`.
We weren't doing this originally I *think* just because of the path
dependent nature of the way the code was developed (originally being
mega pedantic about one-way vs. bidirectional streams) but, it doesn't
seem like there's any issue just calling the stream's `.aclose()`; also
have the benefit of just being less code and logic checks B)
When backpressure is used and a feeder mem chan breaks during msg
delivery (usually because the IPC allocating task already terminated)
instead of raising we simply warn as we do for the non-backpressure
case.
Also, add a proper `Actor.is_arbiter` test inside `._invoke()` to avoid
doing an arbiter-registry lookup if the current actor **is** the
registrar.
The stdlib has all sorts of muckery with ignoring SIGINT in the
`Pdb._cmdloop()` but here we just override all that since we don't trust
their decisions about cancellation handling whatsoever. Adds
a `Lock.repl: MultiActorPdb` attr which is set by any task which
acquires root TTY lock indicating (via actor global state) that the
current actor is using the debugger REPL and can be expected to re-draw
the prompt on SIGINT. Further we mask out log messages from any actor
who also has the `shield_sigint_handler()` enabled to avoid logging
noise when debugging.
If we pack the nursery parent task's error into the `errors` table
directly in the handler, we don't need to specially handle packing that
same error into any exception group raised while handling sub-actor
cancellation; drops some ugly indentation ;)
Pretty sure this is the final touch to alleviate all our debug lock
headaches! Instead of trying to revert to the "last" handler (as `pdb`
does internally in the stdlib) we always just revert to the handler
`trio` registers during startup. Further this seems to allow cancelling
the root-side locking task if it's detected as stale IFF we only do this
when the root actor is in a "no more IPC peers" state.
Deatz:
- (always) set `._debug.Lock._trio_handler` as the `trio` version, not
some last used handler to make sure we're getting the ctrl-c handling
we want when not in debug mode.
- assign the trio handler in `open_root_actor()`
`._runtime._async_main()` to be sure it's applied in subactors as well
as the root.
- only do debug lock blocking and root-side-locking-task cancels when
a "no peers" condition is detected in the root actor: i.e. no IPC
channels are detected by the root meaning it's impossible any actor
has a sane lock-state ongoing for debug mode.
This is a lingering debugger locking race case we needed to handle:
- child crashes acquires TTY lock in root and attaches to `pdb`
- child IPC goes down such that all channels to the root are broken
/ non-functional.
- root is stuck thinking the child is still in debug even though it
can't be contacted and the child actor machinery hasn't been
cancelled by its parent.
- root get's stuck in deadlock with child since it won't send a cancel
request until the child is finished debugging, but the child can't
unlock the debugger bc IPC is down.
To avoid this scenario add debug lock blocking list via
`._debug.Lock._blocked: set[tuple]` which holds actor uids for any actor
that is detected by the root as having no transport channel connections
with said root (of which at least one should exist if this sub-actor at
some point acquired the debug lock). The root consequently checks this
list for any actor that tries to (re)acquire the lock and blocks with
a `ContextCancelled`. When a debug condition is tested in
`._runtime._invoke` the context's `._enter_debugger_on_cancel` which
is set to `False` if the actor is on the block list in which case the
post-mortem entry is skipped.
Further this adds a root-locking-task side cancel scope to
`Lock._root_local_task_cs_in_debug` which can be cancelled by the root
runtime when a stale lock is detected after all IPC channels for the
actor have been torn down. NOTE: right now we're NOT doing this since it
seems to cause test failures likely due because it may cause pre-mature
cancellation and maybe needs a bit more experimenting?
In the case of a callee-side context cancelling itself it can be handy
to let the caller-side task know (even if through logging) that the
cancel was due to some known reason. Make `.cancel()` accept such
a message on the callee side and have it included in the
`._runtime._invoke()` raised `ContextCancelled` emission.
Also add a `Context._trigger_debugger_on_cancel: bool` flag which can be
set to `False` to avoid the debugger post-mortem crash mode from
engaging on cross-context tasks which cancel themselves for a known
reason (as is needed for blocked tasks in the debug TTY-lock machinery).
Turns out the lifetime mgmt of separate nurseries per delegate manager
is tricky; a new nursery can't be naively allocated on cache-misses since
it may get closed by some early terminating task instead of by the "last
using" consumer task. In theory if we allocate using the same logic as
that used for the last-task-triggers-exit then this should work?
For now just go back to a single global nursery per `_Cache` which still
avoids use of the internal actor service nursery.
Instead of sticking all `trionics.maybe_open_context()` tasks inside the
actor's (root) service nursery, open a unique one per manager function
instance (id).
Further, accept a callable for the `key` such that a user can have
more flexible control on the caching logic and move the
`maybe_open_nursery()` helper out of the portal mod and into this
trionics "managers" module.
Instead of the logic branching create a table `._spawn._methods`
which is used to lookup the desired backend framework (in this case
still only one of `multiprocessing` or `trio`) and make the top level
`.new_proc()` do the lookup and any common logic. Use a `typing.Literal`
to define the lookup table's key set.
Repair and ignore a bunch of type-annot related stuff todo with `mypy`
updates and backend-specific process typing.
Tyler Goodlet