use re_arrow_store::LatestAtQuery;
use re_components::{DecodedTensor, Tensor};
use re_data_store::{EntityPath, EntityProperties, InstancePath};
use re_log_types::{Component as _, InstanceKey};
use re_viewer_context::{
ArchetypeDefinition, ScenePart, SceneQuery, SpaceViewClass, SpaceViewHighlights,
TensorDecodeCache, ViewerContext,
};
use crate::TensorSpaceView;
#[derive(Default)]
pub struct SceneTensor {
pub tensors: std::collections::BTreeMap<InstancePath, DecodedTensor>,
}
impl ScenePart<TensorSpaceView> for SceneTensor {
fn archetype(&self) -> ArchetypeDefinition {
vec1::vec1![Tensor::name()]
}
fn populate(
&mut self,
ctx: &mut ViewerContext<'_>,
query: &SceneQuery<'_>,
_state: &<TensorSpaceView as SpaceViewClass>::State,
_scene_context: &<TensorSpaceView as SpaceViewClass>::Context,
_highlights: &SpaceViewHighlights,
) -> Vec<re_renderer::QueueableDrawData> {
re_tracing::profile_function!();
let store = &ctx.store_db.entity_db.data_store;
for (ent_path, props) in query.iter_entities() {
let timeline_query = LatestAtQuery::new(query.timeline, query.latest_at);
if let Some(tensor) = store.query_latest_component::<Tensor>(ent_path, &timeline_query)
{
self.load_tensor_entity(ctx, ent_path, &props, tensor);
}
}
Vec::new()
}
}
impl SceneTensor {
fn load_tensor_entity(
&mut self,
ctx: &mut ViewerContext<'_>,
ent_path: &EntityPath,
_props: &EntityProperties,
tensor: Tensor,
) {
if !tensor.is_shaped_like_an_image() {
match ctx.cache.entry(|c: &mut TensorDecodeCache| c.entry(tensor)) {
Ok(tensor) => {
let instance_path = InstancePath::instance(ent_path.clone(), InstanceKey(0));
self.tensors.insert(instance_path, tensor);
}
Err(err) => {
re_log::warn_once!(
"Failed to decode decoding tensor at path {ent_path}: {err}"
);
}
}
}
}
}