re_view_bar_chart 0.31.3

A view that shows a single bar chart.
Documentation 
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use std::collections::BTreeMap;

use re_chunk_store::LatestAtQuery;
use re_entity_db::EntityPath;
use re_sdk_types::{
    Archetype as _,
    archetypes::BarChart,
    components::{self, Length},
    datatypes,
};
use re_view::{
    BlueprintResolvedResults, DataResultQuery as _, VisualizerInstructionQueryResults,
    clamped_vec_or_else,
};
use re_viewer_context::{
    IdentifiedViewSystem, ViewContext, ViewContextCollection, ViewQuery, ViewSystemExecutionError,
    VisualizerExecutionOutput, VisualizerQueryInfo, VisualizerSystem, typed_fallback_for,
};

#[derive(Default)]
pub struct BarChartData {
    pub abscissa: datatypes::TensorData,
    pub widths: Vec<f32>,
    pub values: datatypes::TensorData,
    pub color: components::Color,
}

/// A bar chart system, with everything needed to render it.
#[derive(Default)]
pub struct BarChartVisualizerSystem {
    pub charts: BTreeMap<EntityPath, BarChartData>,
}

impl IdentifiedViewSystem for BarChartVisualizerSystem {
    fn identifier() -> re_viewer_context::ViewSystemIdentifier {
        "BarChart".into()
    }
}

impl VisualizerSystem for BarChartVisualizerSystem {
    fn visualizer_query_info(
        &self,
        _app_options: &re_viewer_context::AppOptions,
    ) -> VisualizerQueryInfo {
        VisualizerQueryInfo::single_required_component::<components::TensorData>(
            &BarChart::descriptor_values(),
            &BarChart::all_components(),
        )
    }

    fn execute(
        &mut self,
        ctx: &ViewContext<'_>,
        view_query: &ViewQuery<'_>,
        _context_systems: &ViewContextCollection,
    ) -> Result<VisualizerExecutionOutput, ViewSystemExecutionError> {
        let timeline_query = LatestAtQuery::new(view_query.timeline, view_query.latest_at);

        let output = VisualizerExecutionOutput::default();

        for (data_result, instruction) in
            view_query.iter_visualizer_instruction_for(Self::identifier())
        {
            let latest_at_results = data_result.latest_at_with_blueprint_resolved_data::<BarChart>(
                ctx,
                &timeline_query,
                Some(instruction),
            );

            let Some(tensor) = latest_at_results
                .get_mono::<components::TensorData>(BarChart::descriptor_values().component)
            else {
                continue;
            };

            if tensor.is_vector() {
                let length: u64 = tensor.shape().iter().product();

                let abscissa: components::TensorData = latest_at_results
                    .get_mono_with_fallback(BarChart::descriptor_abscissa().component);
                let color = latest_at_results
                    .get_mono_with_fallback(BarChart::descriptor_color().component);

                // TODO(andreas): use this all the way.
                let results =
                    BlueprintResolvedResults::LatestAt(timeline_query.clone(), latest_at_results);
                let results =
                    VisualizerInstructionQueryResults::new(instruction, &results, &output);

                let widths = results.iter_optional(BarChart::descriptor_widths().component);
                let widths: &[f32] = widths
                    .slice::<f32>()
                    .next()
                    .map_or(&[], |((_time, _row), slice)| slice);

                let widths = clamped_vec_or_else(widths, length as usize, || {
                    typed_fallback_for::<Length>(
                        &ctx.query_context(
                            data_result,
                            view_query.latest_at_query(),
                            instruction.id,
                        ),
                        BarChart::descriptor_widths().component,
                    )
                    .0
                    .into()
                });
                self.charts.insert(
                    data_result.entity_path.clone(),
                    BarChartData {
                        abscissa: abscissa.0.clone(),
                        values: tensor.0.clone(),
                        color,
                        widths: widths.into(),
                    },
                );
            }
        }

        Ok(output)
    }
}