leptos-helios 0.8.1

High-performance Rust visualization library with Canvas2D, WebGPU, and WebAssembly support
Documentation
//! Data transformation pipeline for streaming data

use super::types::*;
use crate::chart_config::*;
use std::time::Duration;

/// Data transformation pipeline configuration
#[derive(Debug, Clone)]
pub struct TransformationPipelineConfig {
    pub transformations: Vec<Transformation>,
}

/// Data transformation types
#[derive(Debug, Clone)]
pub enum Transformation {
    Filter(FilterConfig),
    Aggregate(AggregateConfig),
    Smooth(SmoothConfig),
    Interpolate(InterpolateConfig),
}

/// Filter configuration
#[derive(Debug, Clone)]
pub struct FilterConfig {
    pub field: String,
    pub operator: FilterOperator,
    pub threshold: f64,
}

/// Filter operator
#[derive(Debug, Clone)]
pub enum FilterOperator {
    GreaterThan,
    LessThan,
    Equal,
    NotEqual,
    InRange,
}

/// Aggregate configuration
#[derive(Debug, Clone)]
pub struct AggregateConfig {
    pub field: String,
    pub operation: AggregateOperation,
    pub window_size: Duration,
}

/// Aggregate operation
#[derive(Debug, Clone)]
pub enum AggregateOperation {
    Sum,
    Average,
    Min,
    Max,
    Count,
}

/// Smoothing configuration
#[derive(Debug, Clone)]
pub struct SmoothConfig {
    pub window_size: usize,
    pub method: SmoothingMethod,
}

/// Smoothing method
#[derive(Debug, Clone)]
pub enum SmoothingMethod {
    MovingAverage,
    Exponential,
    Gaussian,
}

/// Interpolation configuration
#[derive(Debug, Clone)]
pub struct InterpolateConfig {
    pub method: InterpolationMethod,
    pub target_frequency: Duration,
}

/// Interpolation method
#[derive(Debug, Clone)]
pub enum InterpolationMethod {
    Linear,
    Cubic,
    Spline,
}

/// Transformation pipeline
pub struct TransformationPipeline {
    config: TransformationPipelineConfig,
}

impl TransformationPipeline {
    pub fn new(config: TransformationPipelineConfig) -> Result<Self, ChartRenderError> {
        Ok(Self { config })
    }

    pub fn process_data(&self, data: Vec<DataPoint>) -> Result<Vec<DataPoint>, ChartRenderError> {
        let mut result = data;

        for transformation in &self.config.transformations {
            result = match transformation {
                Transformation::Filter(filter_config) => {
                    self.apply_filter(result, filter_config)?
                }
                Transformation::Aggregate(agg_config) => {
                    self.apply_aggregate(result, agg_config)?
                }
                Transformation::Smooth(smooth_config) => {
                    self.apply_smoothing(result, smooth_config)?
                }
                Transformation::Interpolate(interp_config) => {
                    self.apply_interpolation(result, interp_config)?
                }
            };
        }

        Ok(result)
    }

    fn apply_filter(
        &self,
        data: Vec<DataPoint>,
        _config: &FilterConfig,
    ) -> Result<Vec<DataPoint>, ChartRenderError> {
        // Mock implementation - in real implementation would apply filtering
        Ok(data)
    }

    fn apply_aggregate(
        &self,
        data: Vec<DataPoint>,
        _config: &AggregateConfig,
    ) -> Result<Vec<DataPoint>, ChartRenderError> {
        // Mock implementation - in real implementation would apply aggregation
        Ok(data)
    }

    fn apply_smoothing(
        &self,
        data: Vec<DataPoint>,
        _config: &SmoothConfig,
    ) -> Result<Vec<DataPoint>, ChartRenderError> {
        // Mock implementation - in real implementation would apply smoothing
        Ok(data)
    }

    fn apply_interpolation(
        &self,
        data: Vec<DataPoint>,
        _config: &InterpolateConfig,
    ) -> Result<Vec<DataPoint>, ChartRenderError> {
        // Mock implementation - in real implementation would apply interpolation
        Ok(data)
    }
}