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forked from ROMEO/nexosim
nexosim/asynchronix/src/simulation.rs
Serge Barral b5aea810ae Merge step_by and step_until into a unique method
Now that `step_by` returns an error anyway (it was unfaillible before),
there is no more incentive to keep it as a separate method.
The `step_until` method now accepts an `impl Deadline`, which covers
both cases (`Duration` and `MonotonicTime`).
2024-11-14 17:01:33 +01:00

832 lines
30 KiB
Rust

//! Discrete-event simulation management.
//!
//! This module contains most notably the [`Simulation`] environment, the
//! [`SimInit`] simulation builder, the [`Mailbox`] and [`Address`] types as
//! well as miscellaneous other types related to simulation management.
//!
//! # Simulation lifecycle
//!
//! The lifecycle of a simulation bench typically comprises the following
//! stages:
//!
//! 1. instantiation of models and their [`Mailbox`]es,
//! 2. connection of the models' output/requestor ports to input/replier ports
//! using the [`Address`]es of the target models,
//! 3. instantiation of a [`SimInit`] simulation builder and migration of all
//! models and mailboxes to the builder with [`SimInit::add_model()`],
//! 4. initialization of a [`Simulation`] instance with [`SimInit::init()`],
//! possibly preceded by the setup of a custom clock with
//! [`SimInit::set_clock()`],
//! 5. discrete-time simulation, which typically involves scheduling events and
//! incrementing simulation time while observing the models outputs.
//!
//! Most information necessary to run a simulation is available in the root
//! crate [documentation](crate) and in the [`SimInit`] and [`Simulation`]
//! documentation. The next section complement this information with a set of
//! practical recommendations that can help run and troubleshoot simulations.
//!
//! # Practical considerations
//!
//! ## Mailbox capacity
//!
//! A [`Mailbox`] is a buffer that store incoming events and queries for a
//! single model instance. Mailboxes have a bounded capacity, which defaults to
//! [`Mailbox::DEFAULT_CAPACITY`].
//!
//! The capacity is a trade-off: too large a capacity may lead to excessive
//! memory usage, whereas too small a capacity can hamper performance and
//! increase the likelihood of deadlocks (see next section). Note that, because
//! a mailbox may receive events or queries of various sizes, it is actually the
//! largest message sent that ultimately determines the amount of allocated
//! memory.
//!
//! The default capacity should prove a reasonable trade-off in most cases, but
//! for situations where it is not appropriate, it is possible to instantiate
//! mailboxes with a custom capacity by using [`Mailbox::with_capacity()`]
//! instead of [`Mailbox::new()`].
//!
//! ## Avoiding deadlocks
//!
//! While the underlying architecture of Asynchronix—the actor model—should
//! prevent most race conditions (including obviously data races which are not
//! possible in safe Rust) it is still possible in theory to generate deadlocks.
//! Though rare in practice, these may occur due to one of the below:
//!
//! 1. *query loopback*: if a model sends a query which loops back to itself
//! (either directly or transitively via other models), that model
//! would in effect wait for its own response and block,
//! 2. *mailbox saturation loopback*: if an asynchronous model method sends in
//! the same call many events that end up saturating its own mailbox (either
//! directly or transitively via other models), then any attempt to send
//! another event would block forever waiting for its own mailbox to free
//! some space.
//!
//! The first scenario is usually very easy to avoid and is typically the result
//! of an improper assembly of models. Because requestor ports are only used
//! sparingly in idiomatic simulations, this situation should be relatively
//! exceptional.
//!
//! The second scenario is rare in well-behaving models and if it occurs, it is
//! most typically at the very beginning of a simulation when models
//! simultaneously and mutually send events during the call to
//! [`Model::init()`](crate::model::Model::init). If such a large amount of
//! events is deemed normal behavior, the issue can be remedied by increasing
//! the capacity of the saturated mailboxes.
//!
//! Any deadlocks will be reported as an [`ExecutionError::Deadlock`] error,
//! which identifies all involved models and the amount of unprocessed messages
//! (events or requests) in their mailboxes.
//!
//! ## Modifying connections during simulation
//!
//! Although uncommon, there is sometimes a need for connecting and/or
//! disconnecting models after they have been migrated to the simulation.
//! Likewise, one may want to connect or disconnect an
//! [`EventSlot`](crate::ports::EventSlot) or
//! [`EventBuffer`](crate::ports::EventBuffer) after the simulation has been
//! instantiated.
//!
//! There is actually a very simple solution to this problem: since the
//! [`InputFn`] trait also matches closures of type `FnOnce(&mut impl Model)`,
//! it is enough to invoke [`Simulation::process_event()`] with a closure that
//! connects or disconnects a port, such as:
//!
//! ```
//! # use asynchronix::model::{Context, Model};
//! # use asynchronix::ports::Output;
//! # use asynchronix::time::MonotonicTime;
//! # use asynchronix::simulation::{Mailbox, SimInit};
//! # pub struct ModelA {
//! # pub output: Output<i32>,
//! # }
//! # impl Model for ModelA {};
//! # pub struct ModelB {}
//! # impl ModelB {
//! # pub fn input(&mut self, value: i32) {}
//! # }
//! # impl Model for ModelB {};
//! # let modelA_addr = Mailbox::<ModelA>::new().address();
//! # let modelB_addr = Mailbox::<ModelB>::new().address();
//! # let mut simu = SimInit::new().init(MonotonicTime::EPOCH)?;
//! simu.process_event(
//! |m: &mut ModelA| {
//! m.output.connect(ModelB::input, modelB_addr);
//! },
//! (),
//! &modelA_addr
//! )?;
//! # Ok::<(), asynchronix::simulation::SimulationError>(())
//! ```
mod mailbox;
mod scheduler;
mod sim_init;
pub use mailbox::{Address, Mailbox};
pub use scheduler::{Action, ActionKey, AutoActionKey, LocalScheduler, Scheduler, SchedulingError};
pub(crate) use scheduler::{
KeyedOnceAction, KeyedPeriodicAction, OnceAction, PeriodicAction, SchedulerQueue,
};
pub use sim_init::SimInit;
use std::any::Any;
use std::cell::Cell;
use std::error::Error;
use std::fmt;
use std::future::Future;
use std::pin::Pin;
use std::sync::{Arc, Mutex, MutexGuard};
use std::task::Poll;
use std::time::Duration;
use std::{panic, task};
use pin_project::pin_project;
use recycle_box::{coerce_box, RecycleBox};
use crate::channel::ChannelObserver;
use crate::executor::{Executor, ExecutorError, Signal};
use crate::model::{BuildContext, Context, Model, ProtoModel};
use crate::ports::{InputFn, ReplierFn};
use crate::time::{AtomicTime, Clock, Deadline, MonotonicTime, SyncStatus};
use crate::util::seq_futures::SeqFuture;
use crate::util::slot;
thread_local! { pub(crate) static CURRENT_MODEL_ID: Cell<ModelId> = const { Cell::new(ModelId::none()) }; }
/// Simulation environment.
///
/// A `Simulation` is created by calling
/// [`SimInit::init()`](crate::simulation::SimInit::init) on a simulation
/// initializer. It contains an asynchronous executor that runs all simulation
/// models added beforehand to [`SimInit`].
///
/// A [`Simulation`] object also manages an event scheduling queue and
/// simulation time. The scheduling queue can be accessed from the simulation
/// itself, but also from models via the optional
/// [`&Context`](crate::model::Context) argument of input and replier port
/// methods. Likewise, simulation time can be accessed with the
/// [`Simulation::time()`] method, or from models with the
/// [`LocalScheduler::time()`](crate::simulation::LocalScheduler::time) method.
///
/// Events and queries can be scheduled immediately, *i.e.* for the current
/// simulation time, using [`process_event()`](Simulation::process_event) and
/// [`send_query()`](Simulation::process_query). Calling these methods will
/// block until all computations triggered by such event or query have
/// completed. In the case of queries, the response is returned.
///
/// Events can also be scheduled at a future simulation time using one of the
/// [`schedule_*()`](Scheduler::schedule_event) method. These methods queue an
/// event without blocking.
///
/// Finally, the [`Simulation`] instance manages simulation time. A call to
/// [`step()`](Simulation::step) will:
///
/// 1. increment simulation time until that of the next scheduled event in
/// chronological order, then
/// 2. call [`Clock::synchronize()`](crate::time::Clock::synchronize) which, unless the
/// simulation is configured to run as fast as possible, blocks until the
/// desired wall clock time, and finally
/// 3. run all computations scheduled for the new simulation time.
///
/// The [`step_until()`](Simulation::step_until) method operates similarly but
/// iterates until the target simulation time has been reached.
pub struct Simulation {
executor: Executor,
scheduler_queue: Arc<Mutex<SchedulerQueue>>,
time: AtomicTime,
clock: Box<dyn Clock>,
clock_tolerance: Option<Duration>,
timeout: Duration,
observers: Vec<(String, Box<dyn ChannelObserver>)>,
model_names: Vec<String>,
is_terminated: bool,
}
impl Simulation {
/// Creates a new `Simulation` with the specified clock.
#[allow(clippy::too_many_arguments)]
pub(crate) fn new(
executor: Executor,
scheduler_queue: Arc<Mutex<SchedulerQueue>>,
time: AtomicTime,
clock: Box<dyn Clock + 'static>,
clock_tolerance: Option<Duration>,
timeout: Duration,
observers: Vec<(String, Box<dyn ChannelObserver>)>,
model_names: Vec<String>,
) -> Self {
Self {
executor,
scheduler_queue,
time,
clock,
clock_tolerance,
timeout,
observers,
model_names,
is_terminated: false,
}
}
/// Sets a timeout for each simulation step.
///
/// The timeout corresponds to the maximum wall clock time allocated for the
/// completion of a single simulation step before an
/// [`ExecutionError::Timeout`] error is raised.
///
/// A null duration disables the timeout, which is the default behavior.
///
/// See also [`SimInit::set_timeout`].
#[cfg(not(target_family = "wasm"))]
pub fn set_timeout(&mut self, timeout: Duration) {
self.timeout = timeout;
}
/// Returns the current simulation time.
pub fn time(&self) -> MonotonicTime {
self.time.read()
}
/// Advances simulation time to that of the next scheduled event, processing
/// that event as well as all other events scheduled for the same time.
///
/// Processing is gated by a (possibly blocking) call to
/// [`Clock::synchronize()`](crate::time::Clock::synchronize) on the configured
/// simulation clock. This method blocks until all newly processed events
/// have completed.
pub fn step(&mut self) -> Result<(), ExecutionError> {
self.step_to_next_bounded(MonotonicTime::MAX).map(|_| ())
}
/// Iteratively advances the simulation time until the specified deadline,
/// as if by calling [`Simulation::step()`] repeatedly.
///
/// This method blocks until all events scheduled up to the specified target
/// time have completed. The simulation time upon completion is equal to the
/// specified target time, whether or not an event was scheduled for that
/// time.
pub fn step_until(&mut self, deadline: impl Deadline) -> Result<(), ExecutionError> {
let now = self.time.read();
let target_time = deadline.into_time(now);
if target_time < now {
return Err(ExecutionError::InvalidDeadline(target_time));
}
self.step_until_unchecked(target_time)
}
/// Returns an owned scheduler handle.
pub fn scheduler(&self) -> Scheduler {
Scheduler::new(self.scheduler_queue.clone(), self.time.reader())
}
/// Processes an action immediately, blocking until completion.
///
/// Simulation time remains unchanged. The periodicity of the action, if
/// any, is ignored.
pub fn process(&mut self, action: Action) -> Result<(), ExecutionError> {
action.spawn_and_forget(&self.executor);
self.run()
}
/// Processes an event immediately, blocking until completion.
///
/// Simulation time remains unchanged.
pub fn process_event<M, F, T, S>(
&mut self,
func: F,
arg: T,
address: impl Into<Address<M>>,
) -> Result<(), ExecutionError>
where
M: Model,
F: for<'a> InputFn<'a, M, T, S>,
T: Send + Clone + 'static,
{
let sender = address.into().0;
let fut = async move {
// Ignore send errors.
let _ = sender
.send(
move |model: &mut M,
scheduler,
recycle_box: RecycleBox<()>|
-> RecycleBox<dyn Future<Output = ()> + Send + '_> {
let fut = func.call(model, arg, scheduler);
coerce_box!(RecycleBox::recycle(recycle_box, fut))
},
)
.await;
};
self.executor.spawn_and_forget(fut);
self.run()
}
/// Processes a query immediately, blocking until completion.
///
/// Simulation time remains unchanged. If the mailbox targeted by the query
/// was not found in the simulation, an [`ExecutionError::BadQuery`] is
/// returned.
pub fn process_query<M, F, T, R, S>(
&mut self,
func: F,
arg: T,
address: impl Into<Address<M>>,
) -> Result<R, ExecutionError>
where
M: Model,
F: for<'a> ReplierFn<'a, M, T, R, S>,
T: Send + Clone + 'static,
R: Send + 'static,
{
let (reply_writer, mut reply_reader) = slot::slot();
let sender = address.into().0;
let fut = async move {
// Ignore send errors.
let _ = sender
.send(
move |model: &mut M,
scheduler,
recycle_box: RecycleBox<()>|
-> RecycleBox<dyn Future<Output = ()> + Send + '_> {
let fut = async move {
let reply = func.call(model, arg, scheduler).await;
let _ = reply_writer.write(reply);
};
coerce_box!(RecycleBox::recycle(recycle_box, fut))
},
)
.await;
};
self.executor.spawn_and_forget(fut);
self.run()?;
reply_reader
.try_read()
.map_err(|_| ExecutionError::BadQuery)
}
/// Runs the executor.
fn run(&mut self) -> Result<(), ExecutionError> {
if self.is_terminated {
return Err(ExecutionError::Terminated);
}
self.executor.run(self.timeout).map_err(|e| match e {
ExecutorError::Deadlock => {
self.is_terminated = true;
let mut deadlock_info = Vec::new();
for (model, observer) in &self.observers {
let mailbox_size = observer.len();
if mailbox_size != 0 {
deadlock_info.push(DeadlockInfo {
model: model.clone(),
mailbox_size,
});
}
}
ExecutionError::Deadlock(deadlock_info)
}
ExecutorError::Timeout => {
self.is_terminated = true;
ExecutionError::Timeout
}
ExecutorError::Panic(model_id, payload) => {
self.is_terminated = true;
let model = match model_id.get() {
// The panic was emitted by a model.
Some(id) => self.model_names.get(id).unwrap().clone(),
// The panic is due to an internal issue.
None => panic::resume_unwind(payload),
};
ExecutionError::Panic { model, payload }
}
})
}
/// Advances simulation time to that of the next scheduled action if its
/// scheduling time does not exceed the specified bound, processing that
/// action as well as all other actions scheduled for the same time.
///
/// If at least one action was found that satisfied the time bound, the
/// corresponding new simulation time is returned.
fn step_to_next_bounded(
&mut self,
upper_time_bound: MonotonicTime,
) -> Result<Option<MonotonicTime>, ExecutionError> {
// Function pulling the next action. If the action is periodic, it is
// immediately re-scheduled.
fn pull_next_action(scheduler_queue: &mut MutexGuard<SchedulerQueue>) -> Action {
let ((time, channel_id), action) = scheduler_queue.pull().unwrap();
if let Some((action_clone, period)) = action.next() {
scheduler_queue.insert((time + period, channel_id), action_clone);
}
action
}
// Closure returning the next key which time stamp is no older than the
// upper bound, if any. Cancelled actions are pulled and discarded.
let peek_next_key = |scheduler_queue: &mut MutexGuard<SchedulerQueue>| {
loop {
match scheduler_queue.peek() {
Some((&key, action)) if key.0 <= upper_time_bound => {
if !action.is_cancelled() {
break Some(key);
}
// Discard cancelled actions.
scheduler_queue.pull();
}
_ => break None,
}
}
};
// Move to the next scheduled time.
let mut scheduler_queue = self.scheduler_queue.lock().unwrap();
let mut current_key = match peek_next_key(&mut scheduler_queue) {
Some(key) => key,
None => return Ok(None),
};
self.time.write(current_key.0);
loop {
let action = pull_next_action(&mut scheduler_queue);
let mut next_key = peek_next_key(&mut scheduler_queue);
if next_key != Some(current_key) {
// Since there are no other actions targeting the same mailbox
// and the same time, the action is spawned immediately.
action.spawn_and_forget(&self.executor);
} else {
// To ensure that their relative order of execution is
// preserved, all actions targeting the same mailbox are
// executed sequentially within a single compound future.
let mut action_sequence = SeqFuture::new();
action_sequence.push(action.into_future());
loop {
let action = pull_next_action(&mut scheduler_queue);
action_sequence.push(action.into_future());
next_key = peek_next_key(&mut scheduler_queue);
if next_key != Some(current_key) {
break;
}
}
// Spawn a compound future that sequentially polls all actions
// targeting the same mailbox.
self.executor.spawn_and_forget(action_sequence);
}
current_key = match next_key {
// If the next action is scheduled at the same time, update the
// key and continue.
Some(k) if k.0 == current_key.0 => k,
// Otherwise wait until all actions have completed and return.
_ => {
drop(scheduler_queue); // make sure the queue's mutex is released.
let current_time = current_key.0;
if let SyncStatus::OutOfSync(lag) = self.clock.synchronize(current_time) {
if let Some(tolerance) = &self.clock_tolerance {
if &lag > tolerance {
self.is_terminated = true;
return Err(ExecutionError::OutOfSync(lag));
}
}
}
self.run()?;
return Ok(Some(current_time));
}
};
}
}
/// Iteratively advances simulation time and processes all actions scheduled
/// up to the specified target time.
///
/// Once the method returns it is guaranteed that (i) all actions scheduled
/// up to the specified target time have completed and (ii) the final
/// simulation time matches the target time.
///
/// This method does not check whether the specified time lies in the future
/// of the current simulation time.
fn step_until_unchecked(&mut self, target_time: MonotonicTime) -> Result<(), ExecutionError> {
loop {
match self.step_to_next_bounded(target_time) {
// The target time was reached exactly.
Ok(Some(t)) if t == target_time => return Ok(()),
// No actions are scheduled before or at the target time.
Ok(None) => {
// Update the simulation time.
self.time.write(target_time);
self.clock.synchronize(target_time);
return Ok(());
}
Err(e) => return Err(e),
// The target time was not reached yet.
_ => {}
}
}
}
}
impl fmt::Debug for Simulation {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
f.debug_struct("Simulation")
.field("time", &self.time.read())
.finish_non_exhaustive()
}
}
/// Information regarding a deadlocked model.
#[derive(Clone, Debug, PartialEq, Eq, Hash)]
pub struct DeadlockInfo {
/// The fully qualified name of a deadlocked model.
///
/// This is the name of the model, if relevant prepended by the
/// dot-separated names of all parent models.
pub model: String,
/// Number of messages in the mailbox.
pub mailbox_size: usize,
}
/// An error returned upon simulation execution failure.
#[derive(Debug)]
pub enum ExecutionError {
/// The simulation has been terminated due to an earlier deadlock, model
/// panic, timeout or synchronization loss.
Terminated,
/// The simulation has deadlocked due to the enlisted models.
///
/// This is a fatal error: any subsequent attempt to run the simulation will
/// return an [`ExecutionError::Terminated`] error.
Deadlock(Vec<DeadlockInfo>),
/// A panic was caught during execution.
///
/// This is a fatal error: any subsequent attempt to run the simulation will
/// return an [`ExecutionError::Terminated`] error.
Panic {
/// The fully qualified name of the panicking model.
///
/// The fully qualified name is made of the unqualified model name, if
/// relevant prepended by the dot-separated names of all parent models.
model: String,
/// The payload associated with the panic.
///
/// The payload can be usually downcast to a `String` or `&str`. This is
/// always the case if the panic was triggered by the `panic!` macro,
/// but panics can in principle emit arbitrary payloads with e.g.
/// [`panic_any`](std::panic::panic_any).
payload: Box<dyn Any + Send + 'static>,
},
/// The simulation step has failed to complete within the allocated time.
///
/// This is a fatal error: any subsequent attempt to run the simulation will
/// return an [`ExecutionError::Terminated`] error.
///
/// See also [`SimInit::set_timeout`] and [`Simulation::set_timeout`].
Timeout,
/// The simulation has lost synchronization with the clock and lags behind
/// by the duration given in the payload.
///
/// This is a fatal error: any subsequent attempt to run the simulation will
/// return an [`ExecutionError::Terminated`] error.
///
/// See also [`SimInit::set_clock_tolerance`].
OutOfSync(Duration),
/// The query did not obtain a response because the mailbox targeted by the
/// query was not found in the simulation.
///
/// This is a non-fatal error.
BadQuery,
/// The specified simulation deadline is in the past of the current
/// simulation time.
///
/// This is a non-fatal error.
InvalidDeadline(MonotonicTime),
}
impl fmt::Display for ExecutionError {
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
match self {
Self::Terminated => f.write_str("the simulation has been terminated"),
Self::Deadlock(list) => {
f.write_str(
"a simulation deadlock has been detected that involves the following models: ",
)?;
let mut first_item = true;
for info in list {
if first_item {
first_item = false;
} else {
f.write_str(", ")?;
}
write!(
f,
"'{}' ({} item{} in mailbox)",
info.model,
info.mailbox_size,
if info.mailbox_size == 1 { "" } else { "s" }
)?;
}
Ok(())
}
Self::Panic{model, payload} => {
let msg: &str = if let Some(s) = payload.downcast_ref::<&str>() {
s
} else if let Some(s) = payload.downcast_ref::<String>() {
s
} else {
return write!(f, "model '{}' has panicked", model);
};
write!(f, "model '{}' has panicked with the message: '{}'", model, msg)
}
Self::Timeout => f.write_str("the simulation step has failed to complete within the allocated time"),
Self::OutOfSync(lag) => {
write!(
f,
"the simulation has lost synchronization and lags behind the clock by '{:?}'",
lag
)
}
Self::BadQuery => f.write_str("the query did not return any response; was the target mailbox added to the simulation?"),
Self::InvalidDeadline(time) => {
write!(
f,
"the specified deadline ({}) lies in the past of the current simulation time",
time
)
}
}
}
}
impl Error for ExecutionError {}
/// An error returned upon simulation execution or scheduling failure.
#[derive(Debug)]
pub enum SimulationError {
/// The execution of the simulation failed.
ExecutionError(ExecutionError),
/// An attempt to schedule an item failed.
SchedulingError(SchedulingError),
}
impl fmt::Display for SimulationError {
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
match self {
Self::ExecutionError(e) => e.fmt(f),
Self::SchedulingError(e) => e.fmt(f),
}
}
}
impl Error for SimulationError {
fn source(&self) -> Option<&(dyn Error + 'static)> {
match self {
Self::ExecutionError(e) => e.source(),
Self::SchedulingError(e) => e.source(),
}
}
}
impl From<ExecutionError> for SimulationError {
fn from(e: ExecutionError) -> Self {
Self::ExecutionError(e)
}
}
impl From<SchedulingError> for SimulationError {
fn from(e: SchedulingError) -> Self {
Self::SchedulingError(e)
}
}
/// Adds a model and its mailbox to the simulation bench.
pub(crate) fn add_model<P: ProtoModel>(
model: P,
mailbox: Mailbox<P::Model>,
name: String,
scheduler: Scheduler,
executor: &Executor,
abort_signal: &Signal,
model_names: &mut Vec<String>,
) {
#[cfg(feature = "tracing")]
let span = tracing::span!(target: env!("CARGO_PKG_NAME"), tracing::Level::INFO, "model", name);
let context = Context::new(
name.clone(),
LocalScheduler::new(scheduler, mailbox.address()),
);
let mut build_context =
BuildContext::new(&mailbox, &context, executor, abort_signal, model_names);
let model = model.build(&mut build_context);
let mut receiver = mailbox.0;
let abort_signal = abort_signal.clone();
let fut = async move {
let mut model = model.init(&context).await.0;
while !abort_signal.is_set() && receiver.recv(&mut model, &context).await.is_ok() {}
};
let model_id = ModelId::new(model_names.len());
model_names.push(name);
#[cfg(not(feature = "tracing"))]
let fut = ModelFuture::new(fut, model_id);
#[cfg(feature = "tracing")]
let fut = ModelFuture::new(fut, model_id, span);
executor.spawn_and_forget(fut);
}
/// A unique index assigned to a model instance.
///
/// This is a thin wrapper over a `usize` which encodes a lack of value as
/// `usize::MAX`.
#[derive(Copy, Clone, Debug)]
pub(crate) struct ModelId(usize);
impl ModelId {
const fn none() -> Self {
Self(usize::MAX)
}
fn new(id: usize) -> Self {
assert_ne!(id, usize::MAX);
Self(id)
}
fn get(&self) -> Option<usize> {
if self.0 != usize::MAX {
Some(self.0)
} else {
None
}
}
}
impl Default for ModelId {
fn default() -> Self {
Self(usize::MAX)
}
}
#[pin_project]
struct ModelFuture<F> {
#[pin]
fut: F,
id: ModelId,
#[cfg(feature = "tracing")]
span: tracing::Span,
}
impl<F> ModelFuture<F> {
#[cfg(not(feature = "tracing"))]
fn new(fut: F, id: ModelId) -> Self {
Self { fut, id }
}
#[cfg(feature = "tracing")]
fn new(fut: F, id: ModelId, span: tracing::Span) -> Self {
Self { fut, id, span }
}
}
impl<F: Future> Future for ModelFuture<F> {
type Output = F::Output;
// Required method
fn poll(self: Pin<&mut Self>, cx: &mut task::Context<'_>) -> Poll<Self::Output> {
let this = self.project();
#[cfg(feature = "tracing")]
let _enter = this.span.enter();
// The current model ID is not set/unset through a guard or scoped TLS
// because it must survive panics to identify the last model that was
// polled.
CURRENT_MODEL_ID.set(*this.id);
let poll = this.fut.poll(cx);
// The model ID is unset right after polling so we can distinguish
// between panics generated by models and panics generated by the
// executor itself, as in the later case `CURRENT_MODEL_ID.get()` will
// return `None`.
CURRENT_MODEL_ID.set(ModelId::none());
poll
}
}