mirror of
https://github.com/bevyengine/bevy
synced 2024-11-10 07:04:33 +00:00
90bb1adeb2
# Objective Reflection serialization can be difficult to debug. A lot of times a type fails to be serialized and the user is left wondering where that type came from. This is most often encountered with Bevy's scenes. Attempting to serialize all resources in the world will fail because some resources can't be serialized. For example, users will often get complaints about `bevy_utils::Instant` not registering `ReflectSerialize`. Well, `Instant` can't be serialized, so the only other option is to exclude the resource that contains it. But what resource contains it? This is where reflection serialization can get a little tricky (it's `Time<Real>` btw). ## Solution Add the `debug_stack` feature to `bevy_reflect`. When enabled, the reflection serializers and deserializers will keep track of the current type stack. And this stack will be used in error messages to help with debugging. Now, if we unknowingly try to serialize `Time<Real>`, we'll get the following error: ``` type `bevy_utils::Instant` did not register the `ReflectSerialize` type data. For certain types, this may need to be registered manually using `register_type_data` (stack: `bevy_time::time::Time<bevy_time::real::Real>` -> `bevy_time::real::Real` -> `bevy_utils::Instant`) ``` ### Implementation This makes use of `thread_local!` to manage an internal `TypeInfoStack` which holds a stack of `&'static TypeInfo`. We push to the stack before a type is (de)serialized and pop from the stack afterwards. Using a thread-local should be fine since we know two (de)serializers can't be running at the same time (and if they're running on separate threads, then we're still good). The only potential issue would be if a user went through one of the sub-serializers, like `StructSerializer`. However, I don't think many users are going through these types (I don't even know if we necessarily want to keep those public either, but we'll save that for a different PR). Additionally, this is just a debug feature that only affects error messages, so it wouldn't have any drastically negative effect. It would just result in the stack not being cleared properly if there were any errors. Lastly, this is not the most performant implementation since we now fetch the `TypeInfo` an extra time. But I figured that for a debug tool, it wouldn't matter too much. ### Feature This also adds a `debug` feature, which enables the `debug_stack` feature. I added it because I think we may want to potentially add more debug tools in the future, and this gives us a good framework for adding those. Users who want all debug features, present and future, can just set `debug`. If they only want this feature, then they can just use `debug_stack`. I also made the `debug` feature default to help capture the widest audience (i.e. the users who want this feature but don't know they do). However, if we think it's better as a non-default feature, I can change it! And if there's any bikeshedding around the name `debug_stack`, let me know! ## Testing Run the following command: ``` cargo test --package bevy_reflect --features debug_stack ``` --- ## Changelog - Added the `debug` and `debug_stack` features to `bevy_reflect` - Updated the error messages returned by the reflection serializers and deserializers to include more contextual information when the `debug_stack` or `debug` feature is enabled |
||
---|---|---|
.. | ||
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)