// ABOUTME: Unit tests for activity intelligence and performance analysis features
// ABOUTME: Tests intelligence module components including metrics, trends, and contextual factors
//
// SPDX-License-Identifier: MIT OR Apache-2.0
// Copyright (c) 2025 Pierre Fitness Intelligence
#![allow(clippy::unwrap_used, clippy::expect_used, clippy::panic)]
#![allow(missing_docs)]
use pierre_mcp_server::intelligence::{
ActivityIntelligence, ContextualFactors, PerformanceMetrics, TimeOfDay, TrendDirection,
TrendIndicators, ZoneDistribution,
};
#[test]
fn test_activity_intelligence_creation() {
let intelligence = ActivityIntelligence::new(
"Great morning run!".into(),
vec![],
PerformanceMetrics {
relative_effort: Some(5.0),
zone_distribution: None,
personal_records: vec![],
efficiency_score: Some(85.0),
trend_indicators: TrendIndicators {
pace_trend: TrendDirection::Improving,
effort_trend: TrendDirection::Stable,
distance_trend: TrendDirection::Stable,
consistency_score: 90.0,
},
},
ContextualFactors {
weather: None,
location: None,
time_of_day: TimeOfDay::Morning,
days_since_last_activity: Some(1),
weekly_load: None,
},
);
assert_eq!(intelligence.summary, "Great morning run!");
assert_eq!(
intelligence.performance_indicators.relative_effort,
Some(5.0)
);
}
#[test]
fn test_zone_distribution() {
let zones = ZoneDistribution {
zone1_recovery: 10.0,
zone2_endurance: 65.0,
zone3_tempo: 20.0,
zone4_threshold: 5.0,
zone5_vo2max: 0.0,
};
assert!((zones.zone2_endurance - 65.0).abs() < f32::EPSILON);
// Total should be 100%
let total = zones.zone1_recovery
+ zones.zone2_endurance
+ zones.zone3_tempo
+ zones.zone4_threshold
+ zones.zone5_vo2max;
assert!((total - 100.0).abs() < f32::EPSILON);
}
