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https://github.com/bevyengine/bevy
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aa241672e1
# Objective Right now, `TypeInfo` can be accessed directly from a type using either `Typed::type_info` or `Reflect::get_represented_type_info`. However, once that `TypeInfo` is accessed, any nested types must be accessed via the `TypeRegistry`. ```rust #[derive(Reflect)] struct Foo { bar: usize } let registry = TypeRegistry::default(); let TypeInfo::Struct(type_info) = Foo::type_info() else { panic!("expected struct info"); }; let field = type_info.field("bar").unwrap(); let field_info = registry.get_type_info(field.type_id()).unwrap(); assert!(field_info.is::<usize>());; ``` ## Solution Enable nested types within a `TypeInfo` to be retrieved directly. ```rust #[derive(Reflect)] struct Foo { bar: usize } let TypeInfo::Struct(type_info) = Foo::type_info() else { panic!("expected struct info"); }; let field = type_info.field("bar").unwrap(); let field_info = field.type_info().unwrap(); assert!(field_info.is::<usize>());; ``` The particular implementation was chosen for two reasons. Firstly, we can't just store `TypeInfo` inside another `TypeInfo` directly. This is because some types are recursive and would result in a deadlock when trying to create the `TypeInfo` (i.e. it has to create the `TypeInfo` before it can use it, but it also needs the `TypeInfo` before it can create it). Therefore, we must instead store the function so it can be retrieved lazily. I had considered also using a `OnceLock` or something to lazily cache the info, but I figured we can look into optimizations later. The API should remain the same with or without the `OnceLock`. Secondly, a new wrapper trait had to be introduced: `MaybeTyped`. Like `RegisterForReflection`, this trait is `#[doc(hidden)]` and only exists so that we can properly handle dynamic type fields without requiring them to implement `Typed`. We don't want dynamic types to implement `Typed` due to the fact that it would make the return type `Option<&'static TypeInfo>` for all types even though only the dynamic types ever need to return `None` (see #6971 for details). Users should never have to interact with this trait as it has a blanket impl for all `Typed` types. And `Typed` is automatically implemented when deriving `Reflect` (as it is required). The one downside is we do need to return `Option<&'static TypeInfo>` from all these new methods so that we can handle the dynamic cases. If we didn't have to, we'd be able to get rid of the `Option` entirely. But I think that's an okay tradeoff for this one part of the API, and keeps the other APIs intact. ## Testing This PR contains tests to verify everything works as expected. You can test locally by running: ``` cargo test --package bevy_reflect ``` --- ## Changelog ### Public Changes - Added `ArrayInfo::item_info` method - Added `NamedField::type_info` method - Added `UnnamedField::type_info` method - Added `ListInfo::item_info` method - Added `MapInfo::key_info` method - Added `MapInfo::value_info` method - All active fields now have a `Typed` bound (remember that this is automatically satisfied for all types that derive `Reflect`) ### Internal Changes - Added `MaybeTyped` trait ## Migration Guide All active fields for reflected types (including lists, maps, tuples, etc.), must implement `Typed`. For the majority of users this won't have any visible impact. However, users implementing `Reflect` manually may need to update their types to implement `Typed` if they weren't already. Additionally, custom dynamic types will need to implement the new hidden `MaybeTyped` trait. |
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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)