mirror of
https://github.com/bevyengine/bevy
synced 2024-11-22 12:43:34 +00:00
397f20e835
# Objective Currently, reflecting a generic type provides no information about the generic parameters. This means that you can't get access to the type of `T` in `Foo<T>` without creating custom type data (we do this for [`ReflectHandle`](https://docs.rs/bevy/0.14.2/bevy/asset/struct.ReflectHandle.html#method.asset_type_id)). ## Solution This PR makes it so that generic type parameters and generic const parameters are tracked in a `Generics` struct stored on the `TypeInfo` for a type. For example, `struct Foo<T, const N: usize>` will store `T` and `N` as a `TypeParamInfo` and `ConstParamInfo`, respectively. The stored information includes: - The name of the generic parameter (i.e. `T`, `N`, etc.) - The type of the generic parameter (remember that we're dealing with monomorphized types, so this will actually be a concrete type) - The default type/value, if any (e.g. `f32` in `T = f32` or `10` in `const N: usize = 10`) ### Caveats The only requirement for this to work is that the user does not opt-out of the automatic `TypePath` derive with `#[reflect(type_path = false)]`. Doing so prevents the macro code from 100% knowing that the generic type implements `TypePath`. This in turn means the generated `Typed` impl can't add generics to the type. There are two solutions for this—both of which I think we should explore in a future PR: 1. We could just not use `TypePath`. This would mean that we can't store the `Type` of the generic, but we can at least store the `TypeId`. 2. We could provide a way to opt out of the automatic `Typed` derive with a `#[reflect(typed = false)]` attribute. This would allow users to manually implement `Typed` to add whatever generic information they need (e.g. skipping a parameter that can't implement `TypePath` while the rest can). I originally thought about making `Generics` an enum with `Generic`, `NonGeneric`, and `Unavailable` variants to signify whether there are generics, no generics, or generics that cannot be added due to opting out of `TypePath`. I ultimately decided against this as I think it adds a bit too much complexity for such an uncommon problem. Additionally, user's don't necessarily _have_ to know the generics of a type, so just skipping them should generally be fine for now. ## Testing You can test locally by running: ``` cargo test --package bevy_reflect ``` --- ## Showcase You can now access generic parameters via `TypeInfo`! ```rust #[derive(Reflect)] struct MyStruct<T, const N: usize>([T; N]); let generics = MyStruct::<f32, 10>::type_info().generics(); // Get by index: let t = generics.get(0).unwrap(); assert_eq!(t.name(), "T"); assert!(t.ty().is::<f32>()); assert!(!t.is_const()); // Or by name: let n = generics.get_named("N").unwrap(); assert_eq!(n.name(), "N"); assert!(n.ty().is::<usize>()); assert!(n.is_const()); ``` You can even access parameter defaults: ```rust #[derive(Reflect)] struct MyStruct<T = String, const N: usize = 10>([T; N]); let generics = MyStruct::<f32, 5>::type_info().generics(); let GenericInfo::Type(info) = generics.get_named("T").unwrap() else { panic!("expected a type parameter"); }; let default = info.default().unwrap(); assert!(default.is::<String>()); let GenericInfo::Const(info) = generics.get_named("N").unwrap() else { panic!("expected a const parameter"); }; let default = info.default().unwrap(); assert_eq!(default.downcast_ref::<usize>().unwrap(), &10); ``` |
||
---|---|---|
.. | ||
compile_fail | ||
derive | ||
examples | ||
src | ||
Cargo.toml | ||
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)