Extract a scheduler crate from GPUI to enable unified integration testing of client and server code (#37326)
Extracts and cleans up GPUI's scheduler code into a new `scheduler` crate, making it pluggable by external runtimes. This will enable deterministic integration testing with cloud components by providing a unified test scheduler across Zed and backend code. In Zed, it will replace the existing GPUI scheduler for consistent async task management across platforms. ## Changes - **Core Implementation**: `TestScheduler` with seed-based randomization, session tracking (`SessionId`), and foreground/background task separation for reproducible testing. - **Executors**: `ForegroundExecutor` (!Send, thread-local) and `BackgroundExecutor` (Send, with blocking/timeout support) as GPUI-compatible wrappers. - **Clock and Timer**: Controllable `TestClock` and future-based `Timer` for time-sensitive tests. - **Testing APIs**: `once()`, `with_seed()`, and `many()` methods for configurable test runs. - **Dependencies**: Added `async-task`, `chrono`, `futures`, etc., with updates to `Cargo.toml` and lock file. ## Benefits - **Integration Testing**: Facilitates reliable async tests involving cloud sessions, reducing flakiness via deterministic execution. - **Pluggability**: Trait-based design (`Scheduler`) allows easy integration into non-GPUI runtimes while maintaining GPUI compatibility. - **Cleanup**: Refactors GPUI scheduler logic for clarity, correctness (no `unwrap()`, proper error handling), and extensibility. Follows Rust guidelines; run `./script/clippy` for verification. - [x] Define and test a core scheduler that we think can power our cloud code and GPUI - [ ] Replace GPUI's scheduler Release Notes: - N/A --------- Co-authored-by: Antonio Scandurra <me@as-cii.com>
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co-authored by
Antonio Scandurra
parent
a05f86f97b
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1ae326432e
@@ -65,8 +65,8 @@ impl<T: Clone, R: rand::Rng> Network<T, R> {
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for message in &messages {
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// Insert one or more duplicates of this message, potentially *before* the previous
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// message sent by this peer to simulate out-of-order delivery.
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for _ in 0..self.rng.gen_range(1..4) {
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let insertion_index = self.rng.gen_range(0..inbox.len() + 1);
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for _ in 0..self.rng.random_range(1..4) {
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let insertion_index = self.rng.random_range(0..inbox.len() + 1);
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inbox.insert(
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insertion_index,
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Envelope {
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@@ -85,7 +85,7 @@ impl<T: Clone, R: rand::Rng> Network<T, R> {
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pub fn receive(&mut self, receiver: ReplicaId) -> Vec<T> {
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let inbox = self.inboxes.get_mut(&receiver).unwrap();
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let count = self.rng.gen_range(0..inbox.len() + 1);
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let count = self.rng.random_range(0..inbox.len() + 1);
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inbox
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.drain(0..count)
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.map(|envelope| envelope.message)
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