oxirs_core/ai/
temporal_reasoning.rs

1//! Temporal Knowledge Graph Reasoning
2//!
3//! This module provides temporal reasoning capabilities for knowledge graphs,
4//! including temporal logic, time-aware inference, and temporal query processing.
5
6use crate::ai::AiConfig;
7use anyhow::Result;
8use scirs2_core::random::{Random, RngExt};
9use serde::{Deserialize, Serialize};
10use std::collections::{BTreeMap, HashMap};
11use std::time::{SystemTime, UNIX_EPOCH};
12
13/// Temporal reasoning module
14pub struct TemporalReasoner {
15    /// Configuration
16    config: TemporalConfig,
17
18    /// Temporal knowledge base
19    temporal_kb: TemporalKnowledgeBase,
20
21    /// Temporal inference engine
22    inference_engine: Box<dyn TemporalInferenceEngine>,
23
24    /// Event detection module
25    event_detector: Box<dyn EventDetector>,
26
27    /// Temporal constraint solver
28    #[allow(dead_code)]
29    constraint_solver: Box<dyn TemporalConstraintSolver>,
30}
31
32/// Temporal reasoning configuration
33#[derive(Debug, Clone, Serialize, Deserialize)]
34pub struct TemporalConfig {
35    /// Enable temporal inference
36    pub enable_inference: bool,
37
38    /// Enable event detection
39    pub enable_event_detection: bool,
40
41    /// Temporal resolution (granularity)
42    pub temporal_resolution: TemporalResolution,
43
44    /// Maximum inference depth
45    pub max_inference_depth: usize,
46
47    /// Confidence threshold for temporal inferences
48    pub inference_confidence_threshold: f32,
49
50    /// Enable temporal constraint solving
51    pub enable_constraint_solving: bool,
52
53    /// Supported temporal relations
54    pub supported_relations: Vec<TemporalRelation>,
55}
56
57impl Default for TemporalConfig {
58    fn default() -> Self {
59        Self {
60            enable_inference: true,
61            enable_event_detection: true,
62            temporal_resolution: TemporalResolution::Day,
63            max_inference_depth: 5,
64            inference_confidence_threshold: 0.7,
65            enable_constraint_solving: true,
66            supported_relations: vec![
67                TemporalRelation::Before,
68                TemporalRelation::After,
69                TemporalRelation::During,
70                TemporalRelation::Overlaps,
71                TemporalRelation::Meets,
72                TemporalRelation::Starts,
73                TemporalRelation::Finishes,
74                TemporalRelation::Equals,
75            ],
76        }
77    }
78}
79
80/// Temporal resolution granularity
81#[derive(Debug, Clone, Serialize, Deserialize)]
82pub enum TemporalResolution {
83    Millisecond,
84    Second,
85    Minute,
86    Hour,
87    Day,
88    Week,
89    Month,
90    Year,
91    Decade,
92    Century,
93}
94
95/// Temporal relations (Allen's interval algebra)
96#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)]
97pub enum TemporalRelation {
98    Before,
99    After,
100    During,
101    Contains,
102    Overlaps,
103    OverlappedBy,
104    Meets,
105    MetBy,
106    Starts,
107    StartedBy,
108    Finishes,
109    FinishedBy,
110    Equals,
111}
112
113/// Temporal query
114#[derive(Debug, Clone, Serialize, Deserialize)]
115pub struct TemporalQuery {
116    /// Query type
117    pub query_type: TemporalQueryType,
118
119    /// Target entities
120    pub entities: Vec<String>,
121
122    /// Temporal constraints
123    pub constraints: Vec<TemporalConstraint>,
124
125    /// Time window
126    pub time_window: Option<TimeInterval>,
127
128    /// Include derived facts
129    pub include_inferred: bool,
130}
131
132/// Temporal query types
133#[derive(Debug, Clone, Serialize, Deserialize)]
134pub enum TemporalQueryType {
135    /// Find facts valid at specific time
136    ValidAt { time: Timestamp },
137
138    /// Find facts valid during interval
139    ValidDuring { interval: TimeInterval },
140
141    /// Find temporal relations between events
142    TemporalRelations { entity1: String, entity2: String },
143
144    /// Event sequence queries
145    EventSequence { pattern: Vec<EventPattern> },
146
147    /// Temporal aggregation
148    Aggregation {
149        function: AggregationFunction,
150        grouping: TemporalGrouping,
151    },
152
153    /// Change detection
154    ChangeDetection { entity: String, property: String },
155}
156
157/// Temporal query result
158#[derive(Debug, Clone, Serialize, Deserialize)]
159pub struct TemporalResult {
160    /// Query ID
161    pub query_id: String,
162
163    /// Results
164    pub results: Vec<TemporalFact>,
165
166    /// Inference trace (if requested)
167    pub inference_trace: Option<Vec<InferenceStep>>,
168
169    /// Execution time
170    pub execution_time: std::time::Duration,
171
172    /// Result confidence
173    pub confidence: f32,
174}
175
176/// Temporal fact
177#[derive(Debug, Clone, Serialize, Deserialize)]
178pub struct TemporalFact {
179    /// Subject
180    pub subject: String,
181
182    /// Predicate
183    pub predicate: String,
184
185    /// Object
186    pub object: String,
187
188    /// Validity interval
189    pub validity: TimeInterval,
190
191    /// Confidence score
192    pub confidence: f32,
193
194    /// Source information
195    pub source: FactSource,
196
197    /// Temporal annotations
198    pub annotations: HashMap<String, String>,
199}
200
201/// Fact source
202#[derive(Debug, Clone, Serialize, Deserialize)]
203pub enum FactSource {
204    /// Asserted fact
205    Asserted,
206
207    /// Inferred fact
208    Inferred { rule: String, premises: Vec<String> },
209
210    /// Derived from temporal reasoning
211    TemporalInference { reasoning_type: String },
212
213    /// Event detection
214    EventDetection { detector: String },
215}
216
217/// Time interval
218#[derive(Debug, Clone, Serialize, Deserialize)]
219pub struct TimeInterval {
220    /// Start time
221    pub start: Timestamp,
222
223    /// End time
224    pub end: Timestamp,
225
226    /// Interval type
227    pub interval_type: IntervalType,
228}
229
230impl TimeInterval {
231    /// Check if this interval contains a timestamp
232    pub fn contains(&self, timestamp: Timestamp) -> bool {
233        match self.interval_type {
234            IntervalType::Closed => timestamp >= self.start && timestamp <= self.end,
235            IntervalType::Open => timestamp > self.start && timestamp < self.end,
236            IntervalType::LeftOpen => timestamp > self.start && timestamp <= self.end,
237            IntervalType::RightOpen => timestamp >= self.start && timestamp < self.end,
238        }
239    }
240
241    /// Check if this interval overlaps with another
242    pub fn overlaps(&self, other: &TimeInterval) -> bool {
243        self.start < other.end && other.start < self.end
244    }
245
246    /// Get temporal relation with another interval
247    pub fn relation_to(&self, other: &TimeInterval) -> TemporalRelation {
248        if self.end < other.start {
249            TemporalRelation::Before
250        } else if self.start > other.end {
251            TemporalRelation::After
252        } else if self.start == other.start && self.end == other.end {
253            TemporalRelation::Equals
254        } else if self.start >= other.start && self.end <= other.end {
255            TemporalRelation::During
256        } else if self.start <= other.start && self.end >= other.end {
257            TemporalRelation::Contains
258        } else if self.end == other.start {
259            TemporalRelation::Meets
260        } else if self.start == other.end {
261            TemporalRelation::MetBy
262        } else if self.start == other.start && self.end < other.end {
263            TemporalRelation::Starts
264        } else if self.start == other.start && self.end > other.end {
265            TemporalRelation::StartedBy
266        } else if self.end == other.end && self.start > other.start {
267            TemporalRelation::Finishes
268        } else if self.end == other.end && self.start < other.start {
269            TemporalRelation::FinishedBy
270        } else if self.overlaps(other) && self.start < other.start {
271            TemporalRelation::Overlaps
272        } else {
273            TemporalRelation::OverlappedBy
274        }
275    }
276}
277
278/// Interval type
279#[derive(Debug, Clone, Serialize, Deserialize)]
280pub enum IntervalType {
281    /// [start, end]
282    Closed,
283
284    /// (start, end)
285    Open,
286
287    /// (start, end]
288    LeftOpen,
289
290    /// [start, end)
291    RightOpen,
292}
293
294/// Timestamp (Unix timestamp in seconds)
295pub type Timestamp = u64;
296
297/// Temporal constraint
298#[derive(Debug, Clone, Serialize, Deserialize)]
299pub struct TemporalConstraint {
300    /// Constraint type
301    pub constraint_type: ConstraintType,
302
303    /// Entity or event involved
304    pub entity: String,
305
306    /// Temporal relation
307    pub relation: TemporalRelation,
308
309    /// Reference time or interval
310    pub reference: TemporalReference,
311
312    /// Constraint strength
313    pub strength: ConstraintStrength,
314}
315
316/// Constraint types
317#[derive(Debug, Clone, Serialize, Deserialize)]
318pub enum ConstraintType {
319    /// Hard constraint (must be satisfied)
320    Hard,
321
322    /// Soft constraint (preferred)
323    Soft { weight: f32 },
324
325    /// Conditional constraint
326    Conditional { condition: String },
327}
328
329/// Temporal reference
330#[derive(Debug, Clone, Serialize, Deserialize)]
331pub enum TemporalReference {
332    /// Absolute timestamp
333    Absolute(Timestamp),
334
335    /// Time interval
336    Interval(TimeInterval),
337
338    /// Relative to another entity/event
339    Relative { entity: String, offset: Option<i64> },
340
341    /// Now (current time)
342    Now,
343}
344
345/// Constraint strength
346#[derive(Debug, Clone, Serialize, Deserialize)]
347pub enum ConstraintStrength {
348    Required,
349    Strong,
350    Medium,
351    Weak,
352}
353
354/// Event pattern for sequence queries
355#[derive(Debug, Clone, Serialize, Deserialize)]
356pub struct EventPattern {
357    /// Event type
358    pub event_type: String,
359
360    /// Entities involved
361    pub entities: Vec<String>,
362
363    /// Temporal constraints
364    pub constraints: Vec<TemporalConstraint>,
365
366    /// Optional flag
367    pub optional: bool,
368}
369
370/// Aggregation functions
371#[derive(Debug, Clone, Serialize, Deserialize)]
372pub enum AggregationFunction {
373    Count,
374    Sum,
375    Average,
376    Min,
377    Max,
378    Duration,
379    Frequency,
380}
381
382/// Temporal grouping
383#[derive(Debug, Clone, Serialize, Deserialize)]
384pub enum TemporalGrouping {
385    ByHour,
386    ByDay,
387    ByWeek,
388    ByMonth,
389    ByYear,
390    ByInterval { duration: u64 },
391}
392
393/// Inference step
394#[derive(Debug, Clone, Serialize, Deserialize)]
395pub struct InferenceStep {
396    /// Step number
397    pub step: usize,
398
399    /// Rule applied
400    pub rule: String,
401
402    /// Input facts
403    pub inputs: Vec<TemporalFact>,
404
405    /// Output fact
406    pub output: TemporalFact,
407
408    /// Confidence score
409    pub confidence: f32,
410}
411
412/// Temporal knowledge base
413pub struct TemporalKnowledgeBase {
414    /// Temporal facts indexed by time
415    facts_by_time: BTreeMap<Timestamp, Vec<TemporalFact>>,
416
417    /// Facts indexed by entity
418    facts_by_entity: HashMap<String, Vec<TemporalFact>>,
419
420    /// Temporal rules
421    #[allow(dead_code)]
422    temporal_rules: Vec<TemporalRule>,
423
424    /// Event definitions
425    event_definitions: HashMap<String, EventDefinition>,
426}
427
428/// Temporal rule
429#[derive(Debug, Clone, Serialize, Deserialize)]
430pub struct TemporalRule {
431    /// Rule ID
432    pub id: String,
433
434    /// Rule name
435    pub name: String,
436
437    /// Premises
438    pub premises: Vec<TemporalPattern>,
439
440    /// Conclusion
441    pub conclusion: TemporalPattern,
442
443    /// Rule confidence
444    pub confidence: f32,
445
446    /// Temporal constraints
447    pub temporal_constraints: Vec<TemporalConstraint>,
448}
449
450/// Temporal pattern in rules
451#[derive(Debug, Clone, Serialize, Deserialize)]
452pub struct TemporalPattern {
453    /// Pattern variables
454    pub variables: HashMap<String, String>,
455
456    /// Temporal conditions
457    pub temporal_conditions: Vec<TemporalCondition>,
458
459    /// Pattern confidence
460    pub confidence: f32,
461}
462
463/// Temporal condition
464#[derive(Debug, Clone, Serialize, Deserialize)]
465pub struct TemporalCondition {
466    /// Subject variable
467    pub subject: String,
468
469    /// Predicate
470    pub predicate: String,
471
472    /// Object variable
473    pub object: String,
474
475    /// Temporal validity
476    pub validity: TemporalValidity,
477}
478
479/// Temporal validity specification
480#[derive(Debug, Clone, Serialize, Deserialize)]
481pub enum TemporalValidity {
482    /// Always valid
483    Always,
484
485    /// Valid during specific interval
486    During(TimeInterval),
487
488    /// Valid at specific time
489    At(Timestamp),
490
491    /// Valid relative to another fact
492    Relative {
493        reference: String,
494        relation: TemporalRelation,
495    },
496}
497
498/// Event definition
499#[derive(Debug, Clone, Serialize, Deserialize)]
500pub struct EventDefinition {
501    /// Event type
502    pub event_type: String,
503
504    /// Event patterns to detect
505    pub patterns: Vec<EventDetectionPattern>,
506
507    /// Duration constraints
508    pub duration_constraints: Option<TimeInterval>,
509
510    /// Participants
511    pub participants: Vec<ParticipantRole>,
512}
513
514/// Event detection pattern
515#[derive(Debug, Clone, Serialize, Deserialize)]
516pub struct EventDetectionPattern {
517    /// Pattern conditions
518    pub conditions: Vec<TemporalCondition>,
519
520    /// Temporal ordering
521    pub ordering: Vec<TemporalOrdering>,
522
523    /// Pattern confidence
524    pub confidence: f32,
525}
526
527/// Temporal ordering constraint
528#[derive(Debug, Clone, Serialize, Deserialize)]
529pub struct TemporalOrdering {
530    /// First event
531    pub first: String,
532
533    /// Second event
534    pub second: String,
535
536    /// Temporal relation
537    pub relation: TemporalRelation,
538
539    /// Time bounds
540    pub bounds: Option<TimeInterval>,
541}
542
543/// Participant role in events
544#[derive(Debug, Clone, Serialize, Deserialize)]
545pub struct ParticipantRole {
546    /// Role name
547    pub role: String,
548
549    /// Entity type
550    pub entity_type: String,
551
552    /// Required flag
553    pub required: bool,
554}
555
556/// Temporal inference engine trait
557pub trait TemporalInferenceEngine: Send + Sync {
558    /// Perform temporal inference
559    fn infer(&self, kb: &TemporalKnowledgeBase, query: &TemporalQuery)
560        -> Result<Vec<TemporalFact>>;
561
562    /// Apply temporal rules
563    fn apply_rules(
564        &self,
565        facts: &[TemporalFact],
566        rules: &[TemporalRule],
567    ) -> Result<Vec<TemporalFact>>;
568}
569
570/// Event detector trait
571pub trait EventDetector: Send + Sync {
572    /// Detect events from temporal facts
573    fn detect_events(
574        &self,
575        facts: &[TemporalFact],
576        event_definitions: &[EventDefinition],
577    ) -> Result<Vec<DetectedEvent>>;
578
579    /// Get event patterns
580    fn get_patterns(&self) -> Vec<EventDetectionPattern>;
581}
582
583/// Temporal constraint solver trait
584pub trait TemporalConstraintSolver: Send + Sync {
585    /// Solve temporal constraints
586    fn solve_constraints(&self, constraints: &[TemporalConstraint]) -> Result<ConstraintSolution>;
587
588    /// Check constraint satisfaction
589    fn check_satisfaction(
590        &self,
591        constraints: &[TemporalConstraint],
592        assignments: &HashMap<String, Timestamp>,
593    ) -> Result<bool>;
594}
595
596/// Detected event
597#[derive(Debug, Clone, Serialize, Deserialize)]
598pub struct DetectedEvent {
599    /// Event type
600    pub event_type: String,
601
602    /// Event interval
603    pub interval: TimeInterval,
604
605    /// Participants
606    pub participants: HashMap<String, String>,
607
608    /// Supporting facts
609    pub supporting_facts: Vec<TemporalFact>,
610
611    /// Detection confidence
612    pub confidence: f32,
613}
614
615/// Constraint solution
616#[derive(Debug, Clone, Serialize, Deserialize)]
617pub struct ConstraintSolution {
618    /// Variable assignments
619    pub assignments: HashMap<String, Timestamp>,
620
621    /// Satisfaction score
622    pub satisfaction_score: f32,
623
624    /// Unsatisfied constraints
625    pub unsatisfied: Vec<String>,
626}
627
628impl TemporalReasoner {
629    /// Create new temporal reasoner
630    pub fn new(_config: &AiConfig) -> Result<Self> {
631        let temporal_config = TemporalConfig::default();
632
633        Ok(Self {
634            config: temporal_config,
635            temporal_kb: TemporalKnowledgeBase::new(),
636            inference_engine: Box::new(DefaultTemporalInferenceEngine::new()),
637            event_detector: Box::new(DefaultEventDetector::new()),
638            constraint_solver: Box::new(DefaultConstraintSolver::new()),
639        })
640    }
641
642    /// Perform temporal reasoning
643    pub async fn reason(&self, query: &TemporalQuery) -> Result<TemporalResult> {
644        let start_time = std::time::Instant::now();
645        let mut inference_steps = Vec::new();
646
647        // Step 1: Retrieve relevant facts
648        let mut facts = self.retrieve_facts(query)?;
649
650        // Step 2: Apply temporal inference if enabled
651        if self.config.enable_inference && query.include_inferred {
652            let inferred_facts = self.inference_engine.infer(&self.temporal_kb, query)?;
653
654            // Track inference steps for each inferred fact
655            for (idx, inferred_fact) in inferred_facts.iter().enumerate() {
656                if let FactSource::Inferred { rule, premises } = &inferred_fact.source {
657                    let step = InferenceStep {
658                        step: idx + 1,
659                        rule: rule.clone(),
660                        inputs: premises
661                            .iter()
662                            .filter_map(|premise_id| {
663                                facts
664                                    .iter()
665                                    .find(|f| {
666                                        format!("{}:{}:{}", f.subject, f.predicate, f.object)
667                                            == *premise_id
668                                    })
669                                    .cloned()
670                            })
671                            .collect(),
672                        output: inferred_fact.clone(),
673                        confidence: inferred_fact.confidence,
674                    };
675                    inference_steps.push(step);
676                }
677            }
678
679            facts.extend(inferred_facts);
680        }
681
682        // Step 3: Detect events if enabled
683        if self.config.enable_event_detection {
684            let events = self.event_detector.detect_events(
685                &facts,
686                &self
687                    .temporal_kb
688                    .event_definitions
689                    .values()
690                    .cloned()
691                    .collect::<Vec<_>>(),
692            )?;
693
694            // Convert events to facts
695            for event in events {
696                let event_fact = self.event_to_fact(event)?;
697                facts.push(event_fact);
698            }
699        }
700
701        // Step 4: Filter and rank results
702        let filtered_facts = self.filter_and_rank_facts(facts, query)?;
703
704        // Compute overall confidence from filtered facts
705        let overall_confidence = if filtered_facts.is_empty() {
706            0.0
707        } else {
708            let sum: f32 = filtered_facts.iter().map(|f| f.confidence).sum();
709            let count = filtered_facts.len() as f32;
710            (sum / count).min(1.0) // Average confidence, capped at 1.0
711        };
712
713        let execution_time = start_time.elapsed();
714
715        Ok(TemporalResult {
716            query_id: format!("query_{}", {
717                let mut rng = Random::default();
718                rng.random::<u32>()
719            }),
720            results: filtered_facts,
721            inference_trace: if inference_steps.is_empty() {
722                None
723            } else {
724                Some(inference_steps)
725            },
726            execution_time,
727            confidence: overall_confidence,
728        })
729    }
730
731    /// Add temporal fact to knowledge base
732    pub fn add_fact(&mut self, fact: TemporalFact) -> Result<()> {
733        // Add to time index
734        self.temporal_kb
735            .facts_by_time
736            .entry(fact.validity.start)
737            .or_default()
738            .push(fact.clone());
739
740        // Add to entity index
741        self.temporal_kb
742            .facts_by_entity
743            .entry(fact.subject.clone())
744            .or_default()
745            .push(fact.clone());
746
747        self.temporal_kb
748            .facts_by_entity
749            .entry(fact.object.clone())
750            .or_default()
751            .push(fact);
752
753        Ok(())
754    }
755
756    /// Retrieve facts relevant to query
757    fn retrieve_facts(&self, query: &TemporalQuery) -> Result<Vec<TemporalFact>> {
758        let mut facts = Vec::new();
759
760        // Get facts based on query type
761        match &query.query_type {
762            TemporalQueryType::ValidAt { time } => {
763                for time_facts in self.temporal_kb.facts_by_time.values() {
764                    for fact in time_facts {
765                        if fact.validity.contains(*time) {
766                            facts.push(fact.clone());
767                        }
768                    }
769                }
770            }
771            TemporalQueryType::ValidDuring { interval } => {
772                for time_facts in self.temporal_kb.facts_by_time.values() {
773                    for fact in time_facts {
774                        if fact.validity.overlaps(interval) {
775                            facts.push(fact.clone());
776                        }
777                    }
778                }
779            }
780            _ => {
781                // For other query types, return all facts for now
782                for time_facts in self.temporal_kb.facts_by_time.values() {
783                    facts.extend(time_facts.clone());
784                }
785            }
786        }
787
788        Ok(facts)
789    }
790
791    /// Convert detected event to temporal fact
792    fn event_to_fact(&self, event: DetectedEvent) -> Result<TemporalFact> {
793        Ok(TemporalFact {
794            subject: format!("event:{}", event.event_type),
795            predicate: "hasEventType".to_string(),
796            object: event.event_type,
797            validity: event.interval,
798            confidence: event.confidence,
799            source: FactSource::EventDetection {
800                detector: "default".to_string(),
801            },
802            annotations: HashMap::new(),
803        })
804    }
805
806    /// Filter and rank facts based on query
807    fn filter_and_rank_facts(
808        &self,
809        mut facts: Vec<TemporalFact>,
810        query: &TemporalQuery,
811    ) -> Result<Vec<TemporalFact>> {
812        // Apply entity filters
813        if !query.entities.is_empty() {
814            facts.retain(|fact| {
815                query.entities.contains(&fact.subject) || query.entities.contains(&fact.object)
816            });
817        }
818
819        // Apply time window filter
820        if let Some(window) = &query.time_window {
821            facts.retain(|fact| fact.validity.overlaps(window));
822        }
823
824        // Sort by confidence (descending)
825        facts.sort_by(|a, b| {
826            b.confidence
827                .partial_cmp(&a.confidence)
828                .unwrap_or(std::cmp::Ordering::Equal)
829        });
830
831        Ok(facts)
832    }
833}
834
835impl TemporalKnowledgeBase {
836    fn new() -> Self {
837        Self {
838            facts_by_time: BTreeMap::new(),
839            facts_by_entity: HashMap::new(),
840            temporal_rules: Vec::new(),
841            event_definitions: HashMap::new(),
842        }
843    }
844}
845
846/// Default temporal inference engine
847struct DefaultTemporalInferenceEngine;
848
849impl DefaultTemporalInferenceEngine {
850    fn new() -> Self {
851        Self
852    }
853}
854
855impl TemporalInferenceEngine for DefaultTemporalInferenceEngine {
856    fn infer(
857        &self,
858        _kb: &TemporalKnowledgeBase,
859        _query: &TemporalQuery,
860    ) -> Result<Vec<TemporalFact>> {
861        // Placeholder implementation
862        Ok(Vec::new())
863    }
864
865    fn apply_rules(
866        &self,
867        _facts: &[TemporalFact],
868        _rules: &[TemporalRule],
869    ) -> Result<Vec<TemporalFact>> {
870        // Placeholder implementation
871        Ok(Vec::new())
872    }
873}
874
875/// Default event detector
876struct DefaultEventDetector;
877
878impl DefaultEventDetector {
879    fn new() -> Self {
880        Self
881    }
882}
883
884impl EventDetector for DefaultEventDetector {
885    fn detect_events(
886        &self,
887        _facts: &[TemporalFact],
888        _event_definitions: &[EventDefinition],
889    ) -> Result<Vec<DetectedEvent>> {
890        // Placeholder implementation
891        Ok(Vec::new())
892    }
893
894    fn get_patterns(&self) -> Vec<EventDetectionPattern> {
895        Vec::new()
896    }
897}
898
899/// Default constraint solver
900struct DefaultConstraintSolver;
901
902impl DefaultConstraintSolver {
903    fn new() -> Self {
904        Self
905    }
906}
907
908impl TemporalConstraintSolver for DefaultConstraintSolver {
909    fn solve_constraints(&self, _constraints: &[TemporalConstraint]) -> Result<ConstraintSolution> {
910        // Placeholder implementation
911        Ok(ConstraintSolution {
912            assignments: HashMap::new(),
913            satisfaction_score: 1.0,
914            unsatisfied: Vec::new(),
915        })
916    }
917
918    fn check_satisfaction(
919        &self,
920        _constraints: &[TemporalConstraint],
921        _assignments: &HashMap<String, Timestamp>,
922    ) -> Result<bool> {
923        // Placeholder implementation
924        Ok(true)
925    }
926}
927
928/// Get current timestamp
929pub fn current_timestamp() -> Timestamp {
930    SystemTime::now()
931        .duration_since(UNIX_EPOCH)
932        .expect("SystemTime should be after UNIX_EPOCH")
933        .as_secs()
934}
935
936#[cfg(test)]
937mod tests {
938    use super::*;
939    use crate::ai::AiConfig;
940
941    #[test]
942    fn test_temporal_reasoner_creation() {
943        let config = AiConfig::default();
944        let reasoner = TemporalReasoner::new(&config);
945        assert!(reasoner.is_ok());
946    }
947
948    #[test]
949    fn test_time_interval_operations() {
950        let interval1 = TimeInterval {
951            start: 100,
952            end: 200,
953            interval_type: IntervalType::Closed,
954        };
955
956        let interval2 = TimeInterval {
957            start: 150,
958            end: 250,
959            interval_type: IntervalType::Closed,
960        };
961
962        assert!(interval1.overlaps(&interval2));
963        assert_eq!(
964            interval1.relation_to(&interval2),
965            TemporalRelation::Overlaps
966        );
967    }
968
969    #[test]
970    fn test_temporal_fact_creation() {
971        let fact = TemporalFact {
972            subject: "http://example.org/person1".to_string(),
973            predicate: "worksFor".to_string(),
974            object: "http://example.org/company1".to_string(),
975            validity: TimeInterval {
976                start: 1000,
977                end: 2000,
978                interval_type: IntervalType::Closed,
979            },
980            confidence: 0.9,
981            source: FactSource::Asserted,
982            annotations: HashMap::new(),
983        };
984
985        assert_eq!(fact.confidence, 0.9);
986        assert!(fact.validity.contains(1500));
987        assert!(!fact.validity.contains(2500));
988    }
989
990    #[tokio::test]
991    async fn test_temporal_query() {
992        let config = AiConfig::default();
993        let reasoner = TemporalReasoner::new(&config).expect("construction should succeed");
994
995        let query = TemporalQuery {
996            query_type: TemporalQueryType::ValidAt {
997                time: current_timestamp(),
998            },
999            entities: vec!["http://example.org/person1".to_string()],
1000            constraints: Vec::new(),
1001            time_window: None,
1002            include_inferred: false,
1003        };
1004
1005        let result = reasoner
1006            .reason(&query)
1007            .await
1008            .expect("async operation should succeed");
1009        assert!(!result.query_id.is_empty());
1010    }
1011}
oxirs_core/ai/temporal_reasoning.rs

oxirs_core/ai/
temporal_reasoning.rs
