// ABOUTME: Performance analyzer configuration for trend and statistical analysis
// ABOUTME: Configures thresholds for detecting improvements, declines, and statistical significance
//
// SPDX-License-Identifier: MIT OR Apache-2.0
// Copyright (c) 2025 Pierre Fitness Intelligence
//! Performance Analyzer Configuration
//!
//! Provides configuration for performance analysis algorithms including
//! trend detection, statistical analysis, and performance thresholds.
use serde::{Deserialize, Serialize};
/// Performance Analyzer Configuration
#[derive(Debug, Clone, Default, Serialize, Deserialize)]
pub struct PerformanceAnalyzerConfig {
/// Trend analysis algorithm configuration
pub trend_analysis: TrendAnalysisConfig,
/// Statistical analysis configuration
pub statistical: StatisticalConfig,
/// Performance threshold values
pub thresholds: PerformanceThresholds,
}
/// Configuration for trend analysis algorithms
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TrendAnalysisConfig {
/// Minimum number of data points required for trend analysis
pub min_data_points: usize,
/// Threshold for determining trend strength
pub trend_strength_threshold: f64,
/// Statistical significance threshold
pub significance_threshold: f64,
/// Threshold for detecting performance improvement
pub improvement_threshold: f64,
/// Threshold for detecting performance decline
pub decline_threshold: f64,
}
/// Configuration for statistical analysis
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct StatisticalConfig {
/// Confidence level for statistical tests (e.g., 0.95 for 95%)
pub confidence_level: f64,
/// Threshold for identifying outliers
pub outlier_threshold: f64,
/// Smoothing factor for moving averages
pub smoothing_factor: f64,
}
/// Performance thresholds for analysis
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PerformanceThresholds {
/// Percentage change considered significant improvement
pub significant_improvement: f64,
/// Percentage change considered significant decline
pub significant_decline: f64,
/// Acceptable variance in pace
pub pace_variance_threshold: f64,
/// Threshold for endurance assessment
pub endurance_threshold: f64,
}
impl Default for TrendAnalysisConfig {
fn default() -> Self {
Self {
min_data_points: 5,
trend_strength_threshold: 0.3,
significance_threshold: 0.05,
improvement_threshold: 0.02,
decline_threshold: -0.02,
}
}
}
impl Default for StatisticalConfig {
fn default() -> Self {
Self {
confidence_level: 0.95,
outlier_threshold: 2.0,
smoothing_factor: 0.3,
}
}
}
impl Default for PerformanceThresholds {
fn default() -> Self {
Self {
significant_improvement: 0.05,
significant_decline: -0.05,
pace_variance_threshold: 0.2,
endurance_threshold: 0.8,
}
}
}
