use anyhow::Result;
use std::time::Instant;
use crate::cache::RuleCache;
use crate::debug::DebuggableRuleEngine;
use crate::{Rule, RuleAtom, RuleEngine, Term};
pub struct AdvancedFeatures;
impl AdvancedFeatures {
pub fn complex_reasoning_example() -> Result<Vec<RuleAtom>> {
let mut engine = RuleEngine::new();
let transitivity_rule = Rule {
name: "knows_transitivity".to_string(),
body: vec![
RuleAtom::Triple {
subject: Term::Variable("X".to_string()),
predicate: Term::Constant("knows".to_string()),
object: Term::Variable("Y".to_string()),
},
RuleAtom::Triple {
subject: Term::Variable("Y".to_string()),
predicate: Term::Constant("knows".to_string()),
object: Term::Variable("Z".to_string()),
},
RuleAtom::NotEqual {
left: Term::Variable("X".to_string()),
right: Term::Variable("Z".to_string()),
},
],
head: vec![RuleAtom::Triple {
subject: Term::Variable("X".to_string()),
predicate: Term::Constant("knows".to_string()),
object: Term::Variable("Z".to_string()),
}],
};
let trust_rule = Rule {
name: "trust_propagation".to_string(),
body: vec![
RuleAtom::Triple {
subject: Term::Variable("X".to_string()),
predicate: Term::Constant("trusts".to_string()),
object: Term::Variable("Y".to_string()),
},
RuleAtom::Triple {
subject: Term::Variable("Y".to_string()),
predicate: Term::Constant("recommends".to_string()),
object: Term::Variable("Z".to_string()),
},
RuleAtom::Triple {
subject: Term::Variable("Z".to_string()),
predicate: Term::Constant("type".to_string()),
object: Term::Constant("Service".to_string()),
},
],
head: vec![RuleAtom::Triple {
subject: Term::Variable("X".to_string()),
predicate: Term::Constant("trusts".to_string()),
object: Term::Variable("Z".to_string()),
}],
};
let influence_rule = Rule {
name: "social_influence".to_string(),
body: vec![
RuleAtom::Triple {
subject: Term::Variable("X".to_string()),
predicate: Term::Constant("knows".to_string()),
object: Term::Variable("Y".to_string()),
},
RuleAtom::Triple {
subject: Term::Variable("Y".to_string()),
predicate: Term::Constant("likes".to_string()),
object: Term::Variable("Z".to_string()),
},
RuleAtom::Triple {
subject: Term::Variable("Y".to_string()),
predicate: Term::Constant("influencer".to_string()),
object: Term::Constant("true".to_string()),
},
],
head: vec![RuleAtom::Triple {
subject: Term::Variable("X".to_string()),
predicate: Term::Constant("interested_in".to_string()),
object: Term::Variable("Z".to_string()),
}],
};
engine.add_rule(transitivity_rule);
engine.add_rule(trust_rule);
engine.add_rule(influence_rule);
let facts = vec![
RuleAtom::Triple {
subject: Term::Constant("alice".to_string()),
predicate: Term::Constant("knows".to_string()),
object: Term::Constant("bob".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("bob".to_string()),
predicate: Term::Constant("knows".to_string()),
object: Term::Constant("charlie".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("charlie".to_string()),
predicate: Term::Constant("knows".to_string()),
object: Term::Constant("diana".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("alice".to_string()),
predicate: Term::Constant("trusts".to_string()),
object: Term::Constant("bob".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("bob".to_string()),
predicate: Term::Constant("recommends".to_string()),
object: Term::Constant("netflix".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("netflix".to_string()),
predicate: Term::Constant("type".to_string()),
object: Term::Constant("Service".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("charlie".to_string()),
predicate: Term::Constant("influencer".to_string()),
object: Term::Constant("true".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("charlie".to_string()),
predicate: Term::Constant("likes".to_string()),
object: Term::Constant("sustainable_fashion".to_string()),
},
];
engine.forward_chain(&facts)
}
pub fn temporal_reasoning_example() -> Result<Vec<RuleAtom>> {
let mut engine = RuleEngine::new();
let sequence_rule = Rule {
name: "event_sequence".to_string(),
body: vec![
RuleAtom::Triple {
subject: Term::Variable("Event1".to_string()),
predicate: Term::Constant("precedes".to_string()),
object: Term::Variable("Event2".to_string()),
},
RuleAtom::Triple {
subject: Term::Variable("Event2".to_string()),
predicate: Term::Constant("precedes".to_string()),
object: Term::Variable("Event3".to_string()),
},
],
head: vec![RuleAtom::Triple {
subject: Term::Variable("Event1".to_string()),
predicate: Term::Constant("eventually_precedes".to_string()),
object: Term::Variable("Event3".to_string()),
}],
};
let temporal_constraint_rule = Rule {
name: "temporal_constraint".to_string(),
body: vec![
RuleAtom::Triple {
subject: Term::Variable("X".to_string()),
predicate: Term::Constant("starts_at".to_string()),
object: Term::Variable("StartTime".to_string()),
},
RuleAtom::Triple {
subject: Term::Variable("X".to_string()),
predicate: Term::Constant("duration".to_string()),
object: Term::Variable("Duration".to_string()),
},
],
head: vec![RuleAtom::Triple {
subject: Term::Variable("X".to_string()),
predicate: Term::Constant("ends_at".to_string()),
object: Term::Function {
name: "add".to_string(),
args: vec![
Term::Variable("StartTime".to_string()),
Term::Variable("Duration".to_string()),
],
},
}],
};
engine.add_rule(sequence_rule);
engine.add_rule(temporal_constraint_rule);
let facts = vec![
RuleAtom::Triple {
subject: Term::Constant("meeting1".to_string()),
predicate: Term::Constant("precedes".to_string()),
object: Term::Constant("meeting2".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("meeting2".to_string()),
predicate: Term::Constant("precedes".to_string()),
object: Term::Constant("meeting3".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("meeting1".to_string()),
predicate: Term::Constant("starts_at".to_string()),
object: Term::Constant("09:00".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("meeting1".to_string()),
predicate: Term::Constant("duration".to_string()),
object: Term::Constant("60".to_string()),
},
];
engine.forward_chain(&facts)
}
pub fn probabilistic_reasoning_example() -> Result<Vec<RuleAtom>> {
let mut engine = RuleEngine::new();
let high_confidence_rule = Rule {
name: "weather_prediction_high".to_string(),
body: vec![
RuleAtom::Triple {
subject: Term::Variable("Location".to_string()),
predicate: Term::Constant("humidity".to_string()),
object: Term::Constant("high".to_string()),
},
RuleAtom::Triple {
subject: Term::Variable("Location".to_string()),
predicate: Term::Constant("clouds".to_string()),
object: Term::Constant("dense".to_string()),
},
RuleAtom::Triple {
subject: Term::Variable("Location".to_string()),
predicate: Term::Constant("wind_speed".to_string()),
object: Term::Constant("low".to_string()),
},
],
head: vec![RuleAtom::Triple {
subject: Term::Variable("Location".to_string()),
predicate: Term::Constant("will_rain".to_string()),
object: Term::Constant("high_confidence".to_string()),
}],
};
let medium_confidence_rule = Rule {
name: "weather_prediction_medium".to_string(),
body: vec![
RuleAtom::Triple {
subject: Term::Variable("Location".to_string()),
predicate: Term::Constant("humidity".to_string()),
object: Term::Constant("medium".to_string()),
},
RuleAtom::Triple {
subject: Term::Variable("Location".to_string()),
predicate: Term::Constant("clouds".to_string()),
object: Term::Constant("present".to_string()),
},
],
head: vec![RuleAtom::Triple {
subject: Term::Variable("Location".to_string()),
predicate: Term::Constant("will_rain".to_string()),
object: Term::Constant("medium_confidence".to_string()),
}],
};
engine.add_rule(high_confidence_rule);
engine.add_rule(medium_confidence_rule);
let facts = vec![
RuleAtom::Triple {
subject: Term::Constant("seattle".to_string()),
predicate: Term::Constant("humidity".to_string()),
object: Term::Constant("high".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("seattle".to_string()),
predicate: Term::Constant("clouds".to_string()),
object: Term::Constant("dense".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("seattle".to_string()),
predicate: Term::Constant("wind_speed".to_string()),
object: Term::Constant("low".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("phoenix".to_string()),
predicate: Term::Constant("humidity".to_string()),
object: Term::Constant("medium".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("phoenix".to_string()),
predicate: Term::Constant("clouds".to_string()),
object: Term::Constant("present".to_string()),
},
];
engine.forward_chain(&facts)
}
}
pub struct RealWorldApplications;
impl RealWorldApplications {
pub fn healthcare_diagnosis_system() -> Result<Vec<RuleAtom>> {
let mut engine = RuleEngine::new();
let flu_diagnosis = Rule {
name: "flu_diagnosis".to_string(),
body: vec![
RuleAtom::Triple {
subject: Term::Variable("Patient".to_string()),
predicate: Term::Constant("has_symptom".to_string()),
object: Term::Constant("fever".to_string()),
},
RuleAtom::Triple {
subject: Term::Variable("Patient".to_string()),
predicate: Term::Constant("has_symptom".to_string()),
object: Term::Constant("cough".to_string()),
},
RuleAtom::Triple {
subject: Term::Variable("Patient".to_string()),
predicate: Term::Constant("has_symptom".to_string()),
object: Term::Constant("body_aches".to_string()),
},
],
head: vec![RuleAtom::Triple {
subject: Term::Variable("Patient".to_string()),
predicate: Term::Constant("possible_diagnosis".to_string()),
object: Term::Constant("influenza".to_string()),
}],
};
let pneumonia_diagnosis = Rule {
name: "pneumonia_diagnosis".to_string(),
body: vec![
RuleAtom::Triple {
subject: Term::Variable("Patient".to_string()),
predicate: Term::Constant("has_symptom".to_string()),
object: Term::Constant("fever".to_string()),
},
RuleAtom::Triple {
subject: Term::Variable("Patient".to_string()),
predicate: Term::Constant("has_symptom".to_string()),
object: Term::Constant("chest_pain".to_string()),
},
RuleAtom::Triple {
subject: Term::Variable("Patient".to_string()),
predicate: Term::Constant("has_symptom".to_string()),
object: Term::Constant("difficulty_breathing".to_string()),
},
],
head: vec![RuleAtom::Triple {
subject: Term::Variable("Patient".to_string()),
predicate: Term::Constant("possible_diagnosis".to_string()),
object: Term::Constant("pneumonia".to_string()),
}],
};
let antibiotic_recommendation = Rule {
name: "antibiotic_recommendation".to_string(),
body: vec![
RuleAtom::Triple {
subject: Term::Variable("Patient".to_string()),
predicate: Term::Constant("possible_diagnosis".to_string()),
object: Term::Constant("pneumonia".to_string()),
},
RuleAtom::Triple {
subject: Term::Variable("Patient".to_string()),
predicate: Term::Constant("age".to_string()),
object: Term::Variable("Age".to_string()),
},
RuleAtom::GreaterThan {
left: Term::Variable("Age".to_string()),
right: Term::Constant("18".to_string()),
},
],
head: vec![RuleAtom::Triple {
subject: Term::Variable("Patient".to_string()),
predicate: Term::Constant("recommended_treatment".to_string()),
object: Term::Constant("antibiotics".to_string()),
}],
};
engine.add_rule(flu_diagnosis);
engine.add_rule(pneumonia_diagnosis);
engine.add_rule(antibiotic_recommendation);
let facts = vec![
RuleAtom::Triple {
subject: Term::Constant("patient001".to_string()),
predicate: Term::Constant("has_symptom".to_string()),
object: Term::Constant("fever".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("patient001".to_string()),
predicate: Term::Constant("has_symptom".to_string()),
object: Term::Constant("cough".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("patient001".to_string()),
predicate: Term::Constant("has_symptom".to_string()),
object: Term::Constant("body_aches".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("patient002".to_string()),
predicate: Term::Constant("has_symptom".to_string()),
object: Term::Constant("fever".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("patient002".to_string()),
predicate: Term::Constant("has_symptom".to_string()),
object: Term::Constant("chest_pain".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("patient002".to_string()),
predicate: Term::Constant("has_symptom".to_string()),
object: Term::Constant("difficulty_breathing".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("patient002".to_string()),
predicate: Term::Constant("age".to_string()),
object: Term::Constant("45".to_string()),
},
];
engine.forward_chain(&facts)
}
pub fn fraud_detection_system() -> Result<Vec<RuleAtom>> {
let mut engine = RuleEngine::new();
let unusual_amount_rule = Rule {
name: "unusual_amount".to_string(),
body: vec![
RuleAtom::Triple {
subject: Term::Variable("Transaction".to_string()),
predicate: Term::Constant("amount".to_string()),
object: Term::Variable("Amount".to_string()),
},
RuleAtom::Triple {
subject: Term::Variable("Transaction".to_string()),
predicate: Term::Constant("account".to_string()),
object: Term::Variable("Account".to_string()),
},
RuleAtom::Triple {
subject: Term::Variable("Account".to_string()),
predicate: Term::Constant("avg_transaction".to_string()),
object: Term::Variable("AvgAmount".to_string()),
},
RuleAtom::GreaterThan {
left: Term::Variable("Amount".to_string()),
right: Term::Function {
name: "multiply".to_string(),
args: vec![
Term::Variable("AvgAmount".to_string()),
Term::Constant("10".to_string()),
],
},
},
],
head: vec![RuleAtom::Triple {
subject: Term::Variable("Transaction".to_string()),
predicate: Term::Constant("risk_level".to_string()),
object: Term::Constant("high".to_string()),
}],
};
let frequent_transactions_rule = Rule {
name: "frequent_transactions".to_string(),
body: vec![
RuleAtom::Triple {
subject: Term::Variable("Account".to_string()),
predicate: Term::Constant("transactions_today".to_string()),
object: Term::Variable("Count".to_string()),
},
RuleAtom::GreaterThan {
left: Term::Variable("Count".to_string()),
right: Term::Constant("20".to_string()),
},
],
head: vec![RuleAtom::Triple {
subject: Term::Variable("Account".to_string()),
predicate: Term::Constant("suspicious_activity".to_string()),
object: Term::Constant("high_frequency".to_string()),
}],
};
let geographic_anomaly_rule = Rule {
name: "geographic_anomaly".to_string(),
body: vec![
RuleAtom::Triple {
subject: Term::Variable("Transaction".to_string()),
predicate: Term::Constant("location".to_string()),
object: Term::Variable("Location".to_string()),
},
RuleAtom::Triple {
subject: Term::Variable("Transaction".to_string()),
predicate: Term::Constant("account".to_string()),
object: Term::Variable("Account".to_string()),
},
RuleAtom::Triple {
subject: Term::Variable("Account".to_string()),
predicate: Term::Constant("usual_location".to_string()),
object: Term::Variable("UsualLocation".to_string()),
},
RuleAtom::NotEqual {
left: Term::Variable("Location".to_string()),
right: Term::Variable("UsualLocation".to_string()),
},
],
head: vec![RuleAtom::Triple {
subject: Term::Variable("Transaction".to_string()),
predicate: Term::Constant("geographic_risk".to_string()),
object: Term::Constant("anomaly".to_string()),
}],
};
engine.add_rule(unusual_amount_rule);
engine.add_rule(frequent_transactions_rule);
engine.add_rule(geographic_anomaly_rule);
let facts = vec![
RuleAtom::Triple {
subject: Term::Constant("txn001".to_string()),
predicate: Term::Constant("amount".to_string()),
object: Term::Constant("50000".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("txn001".to_string()),
predicate: Term::Constant("account".to_string()),
object: Term::Constant("acc123".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("txn001".to_string()),
predicate: Term::Constant("location".to_string()),
object: Term::Constant("russia".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("acc123".to_string()),
predicate: Term::Constant("avg_transaction".to_string()),
object: Term::Constant("500".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("acc123".to_string()),
predicate: Term::Constant("usual_location".to_string()),
object: Term::Constant("usa".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("acc123".to_string()),
predicate: Term::Constant("transactions_today".to_string()),
object: Term::Constant("25".to_string()),
},
];
engine.forward_chain(&facts)
}
pub fn supply_chain_optimization() -> Result<Vec<RuleAtom>> {
let mut engine = RuleEngine::new();
let reorder_rule = Rule {
name: "reorder_point".to_string(),
body: vec![
RuleAtom::Triple {
subject: Term::Variable("Product".to_string()),
predicate: Term::Constant("current_stock".to_string()),
object: Term::Variable("Stock".to_string()),
},
RuleAtom::Triple {
subject: Term::Variable("Product".to_string()),
predicate: Term::Constant("reorder_level".to_string()),
object: Term::Variable("ReorderLevel".to_string()),
},
RuleAtom::LessThan {
left: Term::Variable("Stock".to_string()),
right: Term::Variable("ReorderLevel".to_string()),
},
],
head: vec![RuleAtom::Triple {
subject: Term::Variable("Product".to_string()),
predicate: Term::Constant("action_required".to_string()),
object: Term::Constant("reorder".to_string()),
}],
};
let supplier_selection_rule = Rule {
name: "supplier_selection".to_string(),
body: vec![
RuleAtom::Triple {
subject: Term::Variable("Product".to_string()),
predicate: Term::Constant("action_required".to_string()),
object: Term::Constant("reorder".to_string()),
},
RuleAtom::Triple {
subject: Term::Variable("Supplier".to_string()),
predicate: Term::Constant("supplies".to_string()),
object: Term::Variable("Product".to_string()),
},
RuleAtom::Triple {
subject: Term::Variable("Supplier".to_string()),
predicate: Term::Constant("rating".to_string()),
object: Term::Variable("Rating".to_string()),
},
RuleAtom::GreaterThan {
left: Term::Variable("Rating".to_string()),
right: Term::Constant("4.0".to_string()),
},
],
head: vec![RuleAtom::Triple {
subject: Term::Variable("Product".to_string()),
predicate: Term::Constant("preferred_supplier".to_string()),
object: Term::Variable("Supplier".to_string()),
}],
};
let urgent_delivery_rule = Rule {
name: "urgent_delivery".to_string(),
body: vec![
RuleAtom::Triple {
subject: Term::Variable("Product".to_string()),
predicate: Term::Constant("current_stock".to_string()),
object: Term::Variable("Stock".to_string()),
},
RuleAtom::Triple {
subject: Term::Variable("Product".to_string()),
predicate: Term::Constant("critical_level".to_string()),
object: Term::Variable("CriticalLevel".to_string()),
},
RuleAtom::LessThan {
left: Term::Variable("Stock".to_string()),
right: Term::Variable("CriticalLevel".to_string()),
},
],
head: vec![RuleAtom::Triple {
subject: Term::Variable("Product".to_string()),
predicate: Term::Constant("delivery_priority".to_string()),
object: Term::Constant("urgent".to_string()),
}],
};
engine.add_rule(reorder_rule);
engine.add_rule(supplier_selection_rule);
engine.add_rule(urgent_delivery_rule);
let facts = vec![
RuleAtom::Triple {
subject: Term::Constant("laptop_battery".to_string()),
predicate: Term::Constant("current_stock".to_string()),
object: Term::Constant("15".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("laptop_battery".to_string()),
predicate: Term::Constant("reorder_level".to_string()),
object: Term::Constant("25".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("laptop_battery".to_string()),
predicate: Term::Constant("critical_level".to_string()),
object: Term::Constant("10".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("supplier_a".to_string()),
predicate: Term::Constant("supplies".to_string()),
object: Term::Constant("laptop_battery".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("supplier_a".to_string()),
predicate: Term::Constant("rating".to_string()),
object: Term::Constant("4.5".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("supplier_b".to_string()),
predicate: Term::Constant("supplies".to_string()),
object: Term::Constant("laptop_battery".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("supplier_b".to_string()),
predicate: Term::Constant("rating".to_string()),
object: Term::Constant("3.8".to_string()),
},
];
engine.forward_chain(&facts)
}
pub fn smart_home_automation() -> Result<Vec<RuleAtom>> {
let mut engine = RuleEngine::new();
let energy_saving_rule = Rule {
name: "energy_saving".to_string(),
body: vec![
RuleAtom::Triple {
subject: Term::Variable("Room".to_string()),
predicate: Term::Constant("occupancy".to_string()),
object: Term::Constant("empty".to_string()),
},
RuleAtom::Triple {
subject: Term::Variable("Room".to_string()),
predicate: Term::Constant("lights".to_string()),
object: Term::Constant("on".to_string()),
},
],
head: vec![RuleAtom::Triple {
subject: Term::Variable("Room".to_string()),
predicate: Term::Constant("action".to_string()),
object: Term::Constant("turn_off_lights".to_string()),
}],
};
let security_rule = Rule {
name: "security_alert".to_string(),
body: vec![
RuleAtom::Triple {
subject: Term::Variable("Sensor".to_string()),
predicate: Term::Constant("type".to_string()),
object: Term::Constant("motion_sensor".to_string()),
},
RuleAtom::Triple {
subject: Term::Variable("Sensor".to_string()),
predicate: Term::Constant("status".to_string()),
object: Term::Constant("triggered".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("home".to_string()),
predicate: Term::Constant("security_mode".to_string()),
object: Term::Constant("armed".to_string()),
},
],
head: vec![RuleAtom::Triple {
subject: Term::Constant("security_system".to_string()),
predicate: Term::Constant("alert".to_string()),
object: Term::Constant("intrusion_detected".to_string()),
}],
};
let climate_rule = Rule {
name: "climate_control".to_string(),
body: vec![
RuleAtom::Triple {
subject: Term::Variable("Room".to_string()),
predicate: Term::Constant("temperature".to_string()),
object: Term::Variable("Temperature".to_string()),
},
RuleAtom::Triple {
subject: Term::Variable("Room".to_string()),
predicate: Term::Constant("target_temperature".to_string()),
object: Term::Variable("Target".to_string()),
},
RuleAtom::GreaterThan {
left: Term::Variable("Temperature".to_string()),
right: Term::Function {
name: "add".to_string(),
args: vec![
Term::Variable("Target".to_string()),
Term::Constant("2".to_string()),
],
},
},
],
head: vec![RuleAtom::Triple {
subject: Term::Variable("Room".to_string()),
predicate: Term::Constant("action".to_string()),
object: Term::Constant("increase_cooling".to_string()),
}],
};
engine.add_rule(energy_saving_rule);
engine.add_rule(security_rule);
engine.add_rule(climate_rule);
let facts = vec![
RuleAtom::Triple {
subject: Term::Constant("living_room".to_string()),
predicate: Term::Constant("occupancy".to_string()),
object: Term::Constant("empty".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("living_room".to_string()),
predicate: Term::Constant("lights".to_string()),
object: Term::Constant("on".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("bedroom".to_string()),
predicate: Term::Constant("temperature".to_string()),
object: Term::Constant("25".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("bedroom".to_string()),
predicate: Term::Constant("target_temperature".to_string()),
object: Term::Constant("21".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("front_door_sensor".to_string()),
predicate: Term::Constant("type".to_string()),
object: Term::Constant("motion_sensor".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("front_door_sensor".to_string()),
predicate: Term::Constant("status".to_string()),
object: Term::Constant("triggered".to_string()),
},
RuleAtom::Triple {
subject: Term::Constant("home".to_string()),
predicate: Term::Constant("security_mode".to_string()),
object: Term::Constant("armed".to_string()),
},
];
engine.forward_chain(&facts)
}
}
pub struct PerformanceOptimization;
impl PerformanceOptimization {
pub fn performance_monitoring_example() -> Result<()> {
let mut debug_engine = DebuggableRuleEngine::new();
debug_engine.enable_debugging(false);
let rules = Self::create_performance_test_rules();
for rule in rules {
debug_engine.engine.add_rule(rule);
}
let facts = Self::create_large_fact_set(1000);
let start = Instant::now();
let _result = debug_engine.debug_forward_chain(&facts)?;
let duration = start.elapsed();
let metrics = debug_engine.get_metrics();
println!("Performance Analysis:");
println!("Total execution time: {duration:?}");
println!("Facts processed: {}", metrics.facts_processed);
println!("Facts derived: {}", metrics.facts_derived);
println!(
"Cache hit rate: {:.2}%",
(metrics.cache_hits as f64 / (metrics.cache_hits + metrics.cache_misses) as f64)
* 100.0
);
let conflicts = debug_engine.get_conflicts();
let performance_issues: Vec<_> = conflicts
.iter()
.filter(|c| {
matches!(
c.conflict_type,
crate::debug::ConflictType::PerformanceBottleneck
)
})
.collect();
if !performance_issues.is_empty() {
println!("Performance bottlenecks detected:");
for issue in performance_issues {
println!(" - {}", issue.resolution_suggestion);
}
}
Ok(())
}
pub fn caching_optimization_example() -> Result<()> {
let cache = RuleCache::with_sizes(2000, 1000, 500, 800);
let mut engine = RuleEngine::new();
engine.set_cache(Some(cache));
let rules = Self::create_performance_test_rules();
let facts = Self::create_large_fact_set(100);
if let Some(cache) = engine.get_cache() {
cache.warm_cache(&rules, &facts);
}
for rule in rules {
engine.add_rule(rule);
}
let start = Instant::now();
let _result1 = engine.forward_chain(&facts)?;
let with_cache = start.elapsed();
if let Some(cache) = engine.get_cache() {
cache.clear_all();
}
let start = Instant::now();
let _result2 = engine.forward_chain(&facts)?;
let without_cache = start.elapsed();
println!("Cache Performance Analysis:");
println!("With cache: {with_cache:?}");
println!("Without cache: {without_cache:?}");
println!(
"Performance improvement: {:.2}x",
without_cache.as_nanos() as f64 / with_cache.as_nanos() as f64
);
if let Some(cache) = engine.get_cache() {
let stats = cache.get_statistics();
println!("Final cache statistics:");
println!(
" Rule cache hit rate: {:.2}%",
stats.rule_cache.hit_rate * 100.0
);
println!(
" Derivation cache hit rate: {:.2}%",
stats.derivation_cache.hit_rate * 100.0
);
}
Ok(())
}
fn create_performance_test_rules() -> Vec<Rule> {
vec![
Rule {
name: "transitive_closure".to_string(),
body: vec![
RuleAtom::Triple {
subject: Term::Variable("X".to_string()),
predicate: Term::Constant("connected".to_string()),
object: Term::Variable("Y".to_string()),
},
RuleAtom::Triple {
subject: Term::Variable("Y".to_string()),
predicate: Term::Constant("connected".to_string()),
object: Term::Variable("Z".to_string()),
},
],
head: vec![RuleAtom::Triple {
subject: Term::Variable("X".to_string()),
predicate: Term::Constant("reachable".to_string()),
object: Term::Variable("Z".to_string()),
}],
},
Rule {
name: "classification_rule".to_string(),
body: vec![
RuleAtom::Triple {
subject: Term::Variable("X".to_string()),
predicate: Term::Constant("property1".to_string()),
object: Term::Constant("value1".to_string()),
},
RuleAtom::Triple {
subject: Term::Variable("X".to_string()),
predicate: Term::Constant("property2".to_string()),
object: Term::Constant("value2".to_string()),
},
],
head: vec![RuleAtom::Triple {
subject: Term::Variable("X".to_string()),
predicate: Term::Constant("category".to_string()),
object: Term::Constant("special".to_string()),
}],
},
Rule {
name: "aggregation_rule".to_string(),
body: vec![
RuleAtom::Triple {
subject: Term::Variable("Group".to_string()),
predicate: Term::Constant("member".to_string()),
object: Term::Variable("X".to_string()),
},
RuleAtom::Triple {
subject: Term::Variable("X".to_string()),
predicate: Term::Constant("value".to_string()),
object: Term::Variable("V".to_string()),
},
],
head: vec![RuleAtom::Triple {
subject: Term::Variable("Group".to_string()),
predicate: Term::Constant("total_value".to_string()),
object: Term::Function {
name: "sum".to_string(),
args: vec![Term::Variable("V".to_string())],
},
}],
},
]
}
fn create_large_fact_set(size: usize) -> Vec<RuleAtom> {
let mut facts = Vec::new();
for i in 0..size {
if i < size - 1 {
facts.push(RuleAtom::Triple {
subject: Term::Constant(format!("node{i}")),
predicate: Term::Constant("connected".to_string()),
object: Term::Constant(format!("node{}", i + 1)),
});
}
if i % 3 == 0 {
facts.push(RuleAtom::Triple {
subject: Term::Constant(format!("node{i}")),
predicate: Term::Constant("property1".to_string()),
object: Term::Constant("value1".to_string()),
});
}
if i % 5 == 0 {
facts.push(RuleAtom::Triple {
subject: Term::Constant(format!("node{i}")),
predicate: Term::Constant("property2".to_string()),
object: Term::Constant("value2".to_string()),
});
}
}
facts
}
pub fn optimization_techniques() -> Vec<(&'static str, &'static str)> {
vec![
(
"Rule Ordering",
"Place most selective rules first to reduce search space",
),
(
"Index Usage",
"Use appropriate indices for frequently accessed patterns",
),
(
"Caching Strategy",
"Implement multi-level caching for rule results and derivations",
),
(
"Memory Management",
"Monitor memory usage and implement garbage collection",
),
(
"Parallel Processing",
"Use parallel execution for independent rule evaluations",
),
(
"Fact Ordering",
"Order facts to maximize early constraint satisfaction",
),
(
"Rule Specialization",
"Create specialized rules for common patterns",
),
(
"Batch Processing",
"Process facts in batches to improve cache locality",
),
(
"Incremental Updates",
"Use incremental reasoning for dynamic fact sets",
),
(
"Profiling",
"Regular profiling to identify and address bottlenecks",
),
]
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_complex_reasoning() -> Result<(), Box<dyn std::error::Error>> {
let result = AdvancedFeatures::complex_reasoning_example();
assert!(result.is_ok());
let facts = result?;
assert!(!facts.is_empty());
Ok(())
}
#[test]
fn test_temporal_reasoning() -> Result<(), Box<dyn std::error::Error>> {
let result = AdvancedFeatures::temporal_reasoning_example();
assert!(result.is_ok());
let facts = result?;
assert!(!facts.is_empty());
Ok(())
}
#[test]
fn test_healthcare_diagnosis() -> Result<(), Box<dyn std::error::Error>> {
let result = RealWorldApplications::healthcare_diagnosis_system();
assert!(result.is_ok());
let facts = result?;
let diagnoses: Vec<_> = facts
.iter()
.filter(|fact| match fact {
RuleAtom::Triple { predicate, .. } => {
predicate == &Term::Constant("possible_diagnosis".to_string())
}
_ => false,
})
.collect();
assert!(!diagnoses.is_empty());
Ok(())
}
#[test]
fn test_fraud_detection() -> Result<(), Box<dyn std::error::Error>> {
let result = RealWorldApplications::fraud_detection_system();
assert!(result.is_ok());
let facts = result?;
let risks: Vec<_> = facts
.iter()
.filter(|fact| match fact {
RuleAtom::Triple { predicate, .. } => {
predicate == &Term::Constant("risk_level".to_string())
|| predicate == &Term::Constant("suspicious_activity".to_string())
|| predicate == &Term::Constant("geographic_risk".to_string())
}
_ => false,
})
.collect();
assert!(!risks.is_empty());
Ok(())
}
#[test]
fn test_supply_chain_optimization() -> Result<(), Box<dyn std::error::Error>> {
let result = RealWorldApplications::supply_chain_optimization();
assert!(result.is_ok());
let facts = result?;
let actions: Vec<_> = facts
.iter()
.filter(|fact| match fact {
RuleAtom::Triple { predicate, .. } => {
predicate == &Term::Constant("action_required".to_string())
|| predicate == &Term::Constant("preferred_supplier".to_string())
|| predicate == &Term::Constant("delivery_priority".to_string())
}
_ => false,
})
.collect();
assert!(!actions.is_empty());
Ok(())
}
#[test]
fn test_smart_home_automation() -> Result<(), Box<dyn std::error::Error>> {
let result = RealWorldApplications::smart_home_automation();
assert!(result.is_ok());
let facts = result?;
let actions: Vec<_> = facts
.iter()
.filter(|fact| match fact {
RuleAtom::Triple { predicate, .. } => {
predicate == &Term::Constant("action".to_string())
|| predicate == &Term::Constant("alert".to_string())
}
_ => false,
})
.collect();
assert!(!actions.is_empty());
Ok(())
}
#[test]
fn test_performance_monitoring() {
let result = PerformanceOptimization::performance_monitoring_example();
assert!(result.is_ok());
}
#[test]
fn test_caching_optimization() {
let result = PerformanceOptimization::caching_optimization_example();
assert!(result.is_ok());
}
}