b8832dc862
## Summary/Description This PR extends states to allow support for a wider variety of state types and patterns, by providing 3 distinct types of state: - Standard [`States`] can only be changed by manually setting the [`NextState<S>`] resource. These states are the baseline on which the other state types are built, and can be used on their own for many simple patterns. See the [state example](https://github.com/bevyengine/bevy/blob/latest/examples/ecs/state.rs) for a simple use case - these are the states that existed so far in Bevy. - [`SubStates`] are children of other states - they can be changed manually using [`NextState<S>`], but are removed from the [`World`] if the source states aren't in the right state. See the [sub_states example](https://github.com/lee-orr/bevy/blob/derived_state/examples/ecs/sub_states.rs) for a simple use case based on the derive macro, or read the trait docs for more complex scenarios. - [`ComputedStates`] are fully derived from other states - they provide a [`compute`](ComputedStates::compute) method that takes in the source states and returns their derived value. They are particularly useful for situations where a simplified view of the source states is necessary - such as having an `InAMenu` computed state derived from a source state that defines multiple distinct menus. See the [computed state example](https://github.com/lee-orr/bevy/blob/derived_state/examples/ecs/computed_states.rscomputed_states.rs) to see a sampling of uses for these states. # Objective This PR is another attempt at allowing Bevy to better handle complex state objects in a manner that doesn't rely on strict equality. While my previous attempts (https://github.com/bevyengine/bevy/pull/10088 and https://github.com/bevyengine/bevy/pull/9957) relied on complex matching capacities at the point of adding a system to application, this one instead relies on deterministically deriving simple states from more complex ones. As a result, it does not require any special macros, nor does it change any other interactions with the state system once you define and add your derived state. It also maintains a degree of distinction between `State` and just normal application state - your derivations have to end up being discreet pre-determined values, meaning there is less of a risk/temptation to place a significant amount of logic and data within a given state. ### Addition - Sub States closes #9942 After some conversation with Maintainers & SMEs, a significant concern was that people might attempt to use this feature as if it were sub-states, and find themselves unable to use it appropriately. Since `ComputedState` is mainly a state matching feature, while `SubStates` are more of a state mutation related feature - but one that is easy to add with the help of the machinery introduced by `ComputedState`, it was added here as well. The relevant discussion is here: https://discord.com/channels/691052431525675048/1200556329803186316 ## Solution closes #11358 The solution is to create a new type of state - one implementing `ComputedStates` - which is deterministically tied to one or more other states. Implementors write a function to transform the source states into the computed state, and it gets triggered whenever one of the source states changes. In addition, we added the `FreelyMutableState` trait , which is implemented as part of the derive macro for `States`. This allows us to limit use of `NextState<S>` to states that are actually mutable, preventing mis-use of `ComputedStates`. --- ## Changelog - Added `ComputedStates` trait - Added `FreelyMutableState` trait - Converted `NextState` resource to an Enum, with `Unchanged` and `Pending` - Added `App::add_computed_state::<S: ComputedStates>()`, to allow for easily adding derived states to an App. - Moved the `StateTransition` schedule label from `bevy_app` to `bevy_ecs` - but maintained the export in `bevy_app` for continuity. - Modified the process for updating states. Instead of just having an `apply_state_transition` system that can be added anywhere, we now have a multi-stage process that has to run within the `StateTransition` label. First, all the state changes are calculated - manual transitions rely on `apply_state_transition`, while computed transitions run their computation process before both call `internal_apply_state_transition` to apply the transition, send out the transition event, trigger dependent states, and record which exit/transition/enter schedules need to occur. Once all the states have been updated, the transition schedules are called - first the exit schedules, then transition schedules and finally enter schedules. - Added `SubStates` trait - Adjusted `apply_state_transition` to be a no-op if the `State<S>` resource doesn't exist ## Migration Guide If the user accessed the NextState resource's value directly or created them from scratch they will need to adjust to use the new enum variants: - if they created a `NextState(Some(S))` - they should now use `NextState::Pending(S)` - if they created a `NextState(None)` -they should now use `NextState::Unchanged` - if they matched on the `NextState` value, they would need to make the adjustments above If the user manually utilized `apply_state_transition`, they should instead use systems that trigger the `StateTransition` schedule. --- ## Future Work There is still some future potential work in the area, but I wanted to keep these potential features and changes separate to keep the scope here contained, and keep the core of it easy to understand and use. However, I do want to note some of these things, both as inspiration to others and an illustration of what this PR could unlock. - `NextState::Remove` - Now that the `State` related mechanisms all utilize options (#11417), it's fairly easy to add support for explicit state removal. And while `ComputedStates` can add and remove themselves, right now `FreelyMutableState`s can't be removed from within the state system. While it existed originally in this PR, it is a different question with a separate scope and usability concerns - so having it as it's own future PR seems like the best approach. This feature currently lives in a separate branch in my fork, and the differences between it and this PR can be seen here: https://github.com/lee-orr/bevy/pull/5 - `NextState::ReEnter` - this would allow you to trigger exit & entry systems for the current state type. We can potentially also add a `NextState::ReEnterRecirsive` to also re-trigger any states that depend on the current one. - More mechanisms for `State` updates - This PR would finally make states that aren't a set of exclusive Enums useful, and with that comes the question of setting state more effectively. Right now, to update a state you either need to fully create the new state, or include the `Res<Option<State<S>>>` resource in your system, clone the state, mutate it, and then use `NextState.set(my_mutated_state)` to make it the pending next state. There are a few other potential methods that could be implemented in future PRs: - Inverse Compute States - these would essentially be compute states that have an additional (manually defined) function that can be used to nudge the source states so that they result in the computed states having a given value. For example, you could use set the `IsPaused` state, and it would attempt to pause or unpause the game by modifying the `AppState` as needed. - Closure-based state modification - this would involve adding a `NextState.modify(f: impl Fn(Option<S> -> Option<S>)` method, and then you can pass in closures or function pointers to adjust the state as needed. - Message-based state modification - this would involve either creating states that can respond to specific messages, similar to Elm or Redux. These could either use the `NextState` mechanism or the Event mechanism. - ~`SubStates` - which are essentially a hybrid of computed and manual states. In the simplest (and most likely) version, they would work by having a computed element that determines whether the state should exist, and if it should has the capacity to add a new version in, but then any changes to it's content would be freely mutated.~ this feature is now part of this PR. See above. - Lastly, since states are getting more complex there might be value in moving them out of `bevy_ecs` and into their own crate, or at least out of the `schedule` module into a `states` module. #11087 As mentioned, all these future work elements are TBD and are explicitly not part of this PR - I just wanted to provide them as potential explorations for the future. --------- Co-authored-by: Alice Cecile <alice.i.cecile@gmail.com> Co-authored-by: Marcel Champagne <voiceofmarcel@gmail.com> Co-authored-by: MiniaczQ <xnetroidpl@gmail.com> |
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examples | ||
macros | ||
src | ||
Cargo.toml | ||
README.md |
Bevy ECS
What is Bevy ECS?
Bevy ECS is an Entity Component System custom-built for the Bevy game engine. It aims to be simple to use, ergonomic, fast, massively parallel, opinionated, and featureful. It was created specifically for Bevy's needs, but it can easily be used as a standalone crate in other projects.
ECS
All app logic in Bevy uses the Entity Component System paradigm, which is often shortened to ECS. ECS is a software pattern that involves breaking your program up into Entities, Components, and Systems. Entities are unique "things" that are assigned groups of Components, which are then processed using Systems.
For example, one entity might have a Position
and Velocity
component, whereas another entity might have a Position
and UI
component. You might have a movement system that runs on all entities with a Position and Velocity component.
The ECS pattern encourages clean, decoupled designs by forcing you to break up your app data and logic into its core components. It also helps make your code faster by optimizing memory access patterns and making parallelism easier.
Concepts
Bevy ECS is Bevy's implementation of the ECS pattern. Unlike other Rust ECS implementations, which often require complex lifetimes, traits, builder patterns, or macros, Bevy ECS uses normal Rust data types for all of these concepts:
Components
Components are normal Rust structs. They are data stored in a World
and specific instances of Components correlate to Entities.
use bevy_ecs::prelude::*;
#[derive(Component)]
struct Position { x: f32, y: f32 }
Worlds
Entities, Components, and Resources are stored in a World
. Worlds, much like std::collections
's HashSet
and Vec
, expose operations to insert, read, write, and remove the data they store.
use bevy_ecs::world::World;
let world = World::default();
Entities
Entities are unique identifiers that correlate to zero or more Components.
use bevy_ecs::prelude::*;
#[derive(Component)]
struct Position { x: f32, y: f32 }
#[derive(Component)]
struct Velocity { x: f32, y: f32 }
let mut world = World::new();
let entity = world
.spawn((Position { x: 0.0, y: 0.0 }, Velocity { x: 1.0, y: 0.0 }))
.id();
let entity_ref = world.entity(entity);
let position = entity_ref.get::<Position>().unwrap();
let velocity = entity_ref.get::<Velocity>().unwrap();
Systems
Systems are normal Rust functions. Thanks to the Rust type system, Bevy ECS can use function parameter types to determine what data needs to be sent to the system. It also uses this "data access" information to determine what Systems can run in parallel with each other.
use bevy_ecs::prelude::*;
#[derive(Component)]
struct Position { x: f32, y: f32 }
fn print_position(query: Query<(Entity, &Position)>) {
for (entity, position) in &query {
println!("Entity {:?} is at position: x {}, y {}", entity, position.x, position.y);
}
}
Resources
Apps often require unique resources, such as asset collections, renderers, audio servers, time, etc. Bevy ECS makes this pattern a first class citizen. Resource
is a special kind of component that does not belong to any entity. Instead, it is identified uniquely by its type:
use bevy_ecs::prelude::*;
#[derive(Resource, Default)]
struct Time {
seconds: f32,
}
let mut world = World::new();
world.insert_resource(Time::default());
let time = world.get_resource::<Time>().unwrap();
// You can also access resources from Systems
fn print_time(time: Res<Time>) {
println!("{}", time.seconds);
}
The resources.rs
example illustrates how to read and write a Counter resource from Systems.
Schedules
Schedules run a set of Systems according to some execution strategy. Systems can be added to any number of System Sets, which are used to control their scheduling metadata.
The built in "parallel executor" considers dependencies between systems and (by default) run as many of them in parallel as possible. This maximizes performance, while keeping the system execution safe. To control the system ordering, define explicit dependencies between systems and their sets.
Using Bevy ECS
Bevy ECS should feel very natural for those familiar with Rust syntax:
use bevy_ecs::prelude::*;
#[derive(Component)]
struct Position { x: f32, y: f32 }
#[derive(Component)]
struct Velocity { x: f32, y: f32 }
// This system moves each entity with a Position and Velocity component
fn movement(mut query: Query<(&mut Position, &Velocity)>) {
for (mut position, velocity) in &mut query {
position.x += velocity.x;
position.y += velocity.y;
}
}
fn main() {
// Create a new empty World to hold our Entities and Components
let mut world = World::new();
// Spawn an entity with Position and Velocity components
world.spawn((
Position { x: 0.0, y: 0.0 },
Velocity { x: 1.0, y: 0.0 },
));
// Create a new Schedule, which defines an execution strategy for Systems
let mut schedule = Schedule::default();
// Add our system to the schedule
schedule.add_systems(movement);
// Run the schedule once. If your app has a "loop", you would run this once per loop
schedule.run(&mut world);
}
Features
Query Filters
use bevy_ecs::prelude::*;
#[derive(Component)]
struct Position { x: f32, y: f32 }
#[derive(Component)]
struct Player;
#[derive(Component)]
struct Alive;
// Gets the Position component of all Entities with Player component and without the Alive
// component.
fn system(query: Query<&Position, (With<Player>, Without<Alive>)>) {
for position in &query {
}
}
Change Detection
Bevy ECS tracks all changes to Components and Resources.
Queries can filter for changed Components:
use bevy_ecs::prelude::*;
#[derive(Component)]
struct Position { x: f32, y: f32 }
#[derive(Component)]
struct Velocity { x: f32, y: f32 }
// Gets the Position component of all Entities whose Velocity has changed since the last run of the System
fn system_changed(query: Query<&Position, Changed<Velocity>>) {
for position in &query {
}
}
// Gets the Position component of all Entities that had a Velocity component added since the last run of the System
fn system_added(query: Query<&Position, Added<Velocity>>) {
for position in &query {
}
}
Resources also expose change state:
use bevy_ecs::prelude::*;
#[derive(Resource)]
struct Time(f32);
// Prints "time changed!" if the Time resource has changed since the last run of the System
fn system(time: Res<Time>) {
if time.is_changed() {
println!("time changed!");
}
}
The change_detection.rs
example shows how to query only for updated entities and react on changes in resources.
Component Storage
Bevy ECS supports multiple component storage types.
Components can be stored in:
- Tables: Fast and cache friendly iteration, but slower adding and removing of components. This is the default storage type.
- Sparse Sets: Fast adding and removing of components, but slower iteration.
Component storage types are configurable, and they default to table storage if the storage is not manually defined.
use bevy_ecs::prelude::*;
#[derive(Component)]
struct TableStoredComponent;
#[derive(Component)]
#[component(storage = "SparseSet")]
struct SparseStoredComponent;
Component Bundles
Define sets of Components that should be added together.
use bevy_ecs::prelude::*;
#[derive(Default, Component)]
struct Player;
#[derive(Default, Component)]
struct Position { x: f32, y: f32 }
#[derive(Default, Component)]
struct Velocity { x: f32, y: f32 }
#[derive(Bundle, Default)]
struct PlayerBundle {
player: Player,
position: Position,
velocity: Velocity,
}
let mut world = World::new();
// Spawn a new entity and insert the default PlayerBundle
world.spawn(PlayerBundle::default());
// Bundles play well with Rust's struct update syntax
world.spawn(PlayerBundle {
position: Position { x: 1.0, y: 1.0 },
..Default::default()
});
Events
Events offer a communication channel between one or more systems. Events can be sent using the system parameter EventWriter
and received with EventReader
.
use bevy_ecs::prelude::*;
#[derive(Event)]
struct MyEvent {
message: String,
}
fn writer(mut writer: EventWriter<MyEvent>) {
writer.send(MyEvent {
message: "hello!".to_string(),
});
}
fn reader(mut reader: EventReader<MyEvent>) {
for event in reader.read() {
}
}
A minimal set up using events can be seen in events.rs
.