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# Objective #14098 added the `FunctionRegistry` for registering functions such that they can be retrieved by name and used dynamically. One thing we chose to leave out in that initial PR is support for closures. Why support closures? Mainly, we don't want to prohibit users from injecting environmental data into their registered functions. This allows these functions to not leak their internals to the public API. For example, let's say we're writing a library crate that allows users to register callbacks for certain actions. We want to perform some actions before invoking the user's callback so we can't just call it directly. We need a closure for this: ```rust registry.register("my_lib::onclick", move |event: ClickEvent| { // ...other work... user_onclick.call(event); // <-- Captured variable }); ``` We could have made our callback take a reference to the user's callback. This would remove the need for the closure, but it would change our desired API to place the burden of fetching the correct callback on the caller. ## Solution Modify the `FunctionRegistry` to store registered functions as `DynamicClosure<'static>` instead of `DynamicFunction` (now using `IntoClosure` instead of `IntoFunction`). Due to limitations in Rust and how function reflection works, `DynamicClosure<'static>` is functionally equivalent to `DynamicFunction`. And a normal function is considered a subset of closures (it's a closure that doesn't capture anything), so there shouldn't be any difference in usage: all functions that satisfy `IntoFunction` should satisfy `IntoClosure`. This means that the registration API introduced in #14098 should require little-to-no changes on anyone following `main`. ### Closures vs Functions One consideration here is whether we should keep closures and functions separate. This PR unifies them into `DynamicClosure<'static>`, but we can consider splitting them up. The reasons we might want to do so are: - Simplifies mental model and terminology (users don't have to understand that functions turn into closures) - If Rust ever improves its function model, we may be able to add additional guarantees to `DynamicFunction` that make it useful to separate the two - Adding support for generic functions may be less confusing for users since closures in Rust technically can't be generic The reasons behind this PR's unification approach are: - Reduces the number of methods needed on `FunctionRegistry` - Reduces the number of lookups a user may have to perform (i.e. "`get_function` or else `get_closure`") - Establishes `DynamicClosure<'static>` as the de facto dynamic callable (similar to how most APIs in Rust code tend to prefer `impl Fn() -> String` over `fn() -> String`) I'd love to hear feedback on this matter, and whether we should continue with this PR's approach or switch to a split model. ## Testing You can test locally by running: ``` cargo test --package bevy_reflect ``` --- ## Showcase Closures can now be registered into the `FunctionRegistry`: ```rust let punct = String::from("!!!"); registry.register_with_name("my_crate::punctuate", move |text: String| { format!("{}{}", text, punct) }); ``` |
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README.md |
Bevy Reflect
This crate enables you to dynamically interact with Rust types:
- Derive the
Reflect
traits - Interact with fields using their names (for named structs) or indices (for tuple structs)
- "Patch" your types with new values
- Look up nested fields using "path strings"
- Iterate over struct fields
- Automatically serialize and deserialize via Serde (without explicit serde impls)
- Trait "reflection"
Features
Derive the Reflect
traits
// this will automatically implement the `Reflect` trait and the `Struct` trait (because the type is a struct)
#[derive(Reflect)]
struct Foo {
a: u32,
b: Bar,
c: Vec<i32>,
d: Vec<Baz>,
}
// this will automatically implement the `Reflect` trait and the `TupleStruct` trait (because the type is a tuple struct)
#[derive(Reflect)]
struct Bar(String);
#[derive(Reflect)]
struct Baz {
value: f32,
}
// We will use this value to illustrate `bevy_reflect` features
let mut foo = Foo {
a: 1,
b: Bar("hello".to_string()),
c: vec![1, 2],
d: vec![Baz { value: 3.14 }],
};
Interact with fields using their names
assert_eq!(*foo.get_field::<u32>("a").unwrap(), 1);
*foo.get_field_mut::<u32>("a").unwrap() = 2;
assert_eq!(foo.a, 2);
"Patch" your types with new values
let mut dynamic_struct = DynamicStruct::default();
dynamic_struct.insert("a", 42u32);
dynamic_struct.insert("c", vec![3, 4, 5]);
foo.apply(&dynamic_struct);
assert_eq!(foo.a, 42);
assert_eq!(foo.c, vec![3, 4, 5]);
Look up nested fields using "path strings"
let value = *foo.get_path::<f32>("d[0].value").unwrap();
assert_eq!(value, 3.14);
Iterate over struct fields
for (i, value: &Reflect) in foo.iter_fields().enumerate() {
let field_name = foo.name_at(i).unwrap();
if let Some(value) = value.downcast_ref::<u32>() {
println!("{} is a u32 with the value: {}", field_name, *value);
}
}
Automatically serialize and deserialize via Serde (without explicit serde impls)
let mut registry = TypeRegistry::default();
registry.register::<u32>();
registry.register::<i32>();
registry.register::<f32>();
registry.register::<String>();
registry.register::<Bar>();
registry.register::<Baz>();
let serializer = ReflectSerializer::new(&foo, ®istry);
let serialized = ron::ser::to_string_pretty(&serializer, ron::ser::PrettyConfig::default()).unwrap();
let mut deserializer = ron::de::Deserializer::from_str(&serialized).unwrap();
let reflect_deserializer = ReflectDeserializer::new(®istry);
let value = reflect_deserializer.deserialize(&mut deserializer).unwrap();
let dynamic_struct = value.take::<DynamicStruct>().unwrap();
assert!(foo.reflect_partial_eq(&dynamic_struct).unwrap());
Trait "reflection"
Call a trait on a given &dyn Reflect
reference without knowing the underlying type!
#[derive(Reflect)]
#[reflect(DoThing)]
struct MyType {
value: String,
}
impl DoThing for MyType {
fn do_thing(&self) -> String {
format!("{} World!", self.value)
}
}
#[reflect_trait]
pub trait DoThing {
fn do_thing(&self) -> String;
}
// First, lets box our type as a Box<dyn Reflect>
let reflect_value: Box<dyn Reflect> = Box::new(MyType {
value: "Hello".to_string(),
});
// This means we no longer have direct access to MyType or its methods. We can only call Reflect methods on reflect_value.
// What if we want to call `do_thing` on our type? We could downcast using reflect_value.downcast_ref::<MyType>(), but what if we
// don't know the type at compile time?
// Normally in rust we would be out of luck at this point. Lets use our new reflection powers to do something cool!
let mut type_registry = TypeRegistry::default();
type_registry.register::<MyType>();
// The #[reflect] attribute we put on our DoThing trait generated a new `ReflectDoThing` struct, which implements TypeData.
// This was added to MyType's TypeRegistration.
let reflect_do_thing = type_registry
.get_type_data::<ReflectDoThing>(reflect_value.type_id())
.unwrap();
// We can use this generated type to convert our `&dyn Reflect` reference to a `&dyn DoThing` reference
let my_trait: &dyn DoThing = reflect_do_thing.get(&*reflect_value).unwrap();
// Which means we can now call do_thing(). Magic!
println!("{}", my_trait.do_thing());
// This works because the #[reflect(MyTrait)] we put on MyType informed the Reflect derive to insert a new instance
// of ReflectDoThing into MyType's registration. The instance knows how to cast &dyn Reflect to &dyn DoThing, because it
// knows that &dyn Reflect should first be downcasted to &MyType, which can then be safely casted to &dyn DoThing
Why make this?
The whole point of Rust is static safety! Why build something that makes it easy to throw it all away?
- Some problems are inherently dynamic (scripting, some types of serialization / deserialization)
- Sometimes the dynamic way is easier
- Sometimes the dynamic way puts less burden on your users to derive a bunch of traits (this was a big motivator for the Bevy project)