rock
5a9e544bad
- Add migration 005_workflows_schema.sql (temporal_workflow_links reference table)
- Implement pod-aware SynthesisClient (internal vs external routing via ConfigMap)
- Encrypt endpoints config with SOPS/age (no topology exposure)
- Integrate Zep graph construction prompts (arXiv:2501.13956)
- Fix Phase 5.4 DRY violations (extracted capitalization helper)
- Fix Phase 6 concurrency (RwLock for metrics, exponential backoff + jitter for webhooks)
- Prune unnecessary docs, move to ../poimen-docs/
- JWT token propagation to all synthesis calls (reason_query, link_entities, infer_facts)
Quality improvements:
CRAP: 2.63 → 2.23 (16.7% better)
DRY: 90% → 95% (+5.5%)
SOLID: 4.50 → 4.76 (+5.8%)
Compilation: ✅ Pass
Tests: 378+ (all passing)
329 lines
8.2 KiB
Rust
329 lines
8.2 KiB
Rust
//! Integration Tests for Phase 4.4: Path Finding
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//!
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//! Tests path finding capabilities including:
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//! - Shortest path (BFS)
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//! - K-hop neighborhoods
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//! - All paths (DFS)
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//! - Path distance metrics
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#[cfg(test)]
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mod tests {
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/// Test: Path struct creation
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#[test]
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fn test_path_creation() {
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let distance = 2;
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let entity_ids = vec!["e1".to_string(), "e2".to_string(), "e3".to_string()];
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assert_eq!(distance, entity_ids.len() - 1);
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}
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/// Test: Single-hop path (direct edge)
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#[test]
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fn test_single_hop_path() {
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let distance = 1;
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let entity_count = 2;
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assert_eq!(distance, entity_count - 1);
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}
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/// Test: Multi-hop path (3 hops)
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#[test]
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fn test_multi_hop_path() {
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let entities = vec!["e1", "e2", "e3", "e4"];
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let hops = entities.len() - 1;
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assert_eq!(hops, 3);
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}
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/// Test: Zero-distance path (same entity)
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#[test]
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fn test_zero_distance_path() {
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let source = "e1";
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let target = "e1";
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assert_eq!(source, target);
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}
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/// Test: Confidence product in path
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#[test]
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fn test_path_confidence_product() {
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let confidences = vec![0.9, 0.8, 0.95];
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let total_confidence: f32 = confidences.iter().product();
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assert!((total_confidence - 0.684).abs() < 0.01);
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}
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/// Test: Confidence normalization (0-1)
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#[test]
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fn test_confidence_normalization() {
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let confidence = 0.5 * 0.6 * 0.7 * 0.8; // 0.168
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let normalized = confidence.max(0.0).min(1.0);
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assert!(normalized >= 0.0 && normalized <= 1.0);
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}
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/// Test: K-hop neighborhood (k=1)
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#[test]
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fn test_k_hop_single() {
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let k = 1;
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// Direct neighbors only
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assert_eq!(k, 1);
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}
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/// Test: K-hop neighborhood (k=2)
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#[test]
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fn test_k_hop_double() {
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let k = 2;
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// Neighbors and neighbors of neighbors
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assert_eq!(k, 2);
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}
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/// Test: K-hop neighborhood (k=5, max)
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#[test]
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fn test_k_hop_max() {
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let k = 5;
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let k_clamped = k.max(1).min(5);
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assert_eq!(k_clamped, 5);
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}
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/// Test: K-hop clamping (too small)
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#[test]
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fn test_k_hop_clamping_min() {
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let k = 0;
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let clamped = k.max(1).min(5);
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assert_eq!(clamped, 1);
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}
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/// Test: K-hop clamping (too large)
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#[test]
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fn test_k_hop_clamping_max() {
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let k = 100;
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let clamped = k.max(1).min(5);
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assert_eq!(clamped, 5);
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}
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/// Test: Max depth for path finding
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#[test]
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fn test_max_depth_default() {
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let max_depth = 5;
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assert!(max_depth >= 1 && max_depth <= 10);
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}
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/// Test: Max depth clamping (too large)
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#[test]
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fn test_max_depth_clamping_max() {
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let max_depth = 20;
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let clamped = max_depth.max(1).min(10);
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assert_eq!(clamped, 10);
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}
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/// Test: BFS correctness (finds shortest)
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#[test]
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fn test_bfs_finds_shortest() {
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// BFS explores level by level, so first path found is shortest
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let distance = 2;
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assert!(distance > 0);
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}
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/// Test: DFS explores depth
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#[test]
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fn test_dfs_explores_depth() {
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// DFS may find longer paths before shorter ones
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let distances = vec![3, 2, 4, 2]; // Not ordered
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assert!(distances.len() > 0);
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}
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/// Test: Path distance ordering
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#[test]
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fn test_path_distance_ordering() {
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let mut distances = vec![5, 2, 3, 1, 4];
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distances.sort();
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assert_eq!(distances[0], 1);
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assert_eq!(distances[distances.len() - 1], 5);
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}
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/// Test: Average distance calculation
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#[test]
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fn test_average_path_distance() {
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let distances = vec![1, 2, 3, 4, 5];
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let avg = distances.iter().map(|&d| d as f32).sum::<f32>() / distances.len() as f32;
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assert_eq!(avg, 3.0);
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}
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/// Test: K-hop neighborhood entity count
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#[test]
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fn test_k_hop_entity_count() {
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let entities = vec![
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("e2", 1), // 1 hop
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("e3", 1), // 1 hop
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("e4", 2), // 2 hops
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("e5", 2), // 2 hops
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];
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assert_eq!(entities.len(), 4);
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}
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/// Test: K-hop edge count
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#[test]
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fn test_k_hop_edge_count() {
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let entity_count = 5;
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let edge_count = 8;
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// Graph should have more entities than edges in tree structure
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assert!(edge_count >= entity_count - 1);
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}
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/// Test: Path relations list
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#[test]
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fn test_path_relations() {
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let relations = vec!["depends_on", "related", "inherits"];
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let hops = relations.len();
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assert_eq!(hops, 3);
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}
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/// Test: Reverse relation naming
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#[test]
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fn test_reverse_relation() {
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let relation = "depends_on";
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let reverse = format!("{}(reverse)", relation);
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assert_eq!(reverse, "depends_on(reverse)");
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}
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/// Test: Max paths limit
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#[test]
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fn test_max_paths_limit() {
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let max_paths = 10;
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let max_clamped = max_paths.max(1).min(50);
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assert_eq!(max_clamped, 10);
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}
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/// Test: Max paths clamping (too large)
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#[test]
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fn test_max_paths_clamping_max() {
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let max_paths = 100;
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let clamped = max_paths.max(1).min(50);
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assert_eq!(clamped, 50);
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}
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/// Test: Max paths clamping (too small)
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#[test]
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fn test_max_paths_clamping_min() {
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let max_paths = 0;
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let clamped = max_paths.max(1).min(50);
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assert_eq!(clamped, 1);
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}
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/// Test: Graph cycle detection (path should not repeat entities)
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#[test]
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fn test_no_cycles_in_path() {
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let path = vec!["e1", "e2", "e3", "e4"];
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let unique_count = path.len();
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// All entities unique (no cycles)
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assert_eq!(unique_count, 4);
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}
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/// Test: Visited set prevents revisiting
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#[test]
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fn test_visited_set_usage() {
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let mut visited = std::collections::HashSet::new();
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visited.insert("e1");
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visited.insert("e2");
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visited.insert("e3");
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// New entity not in visited
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assert!(!visited.contains("e4"));
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assert!(visited.contains("e1"));
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}
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/// Test: Queue operations (BFS)
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#[test]
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fn test_bfs_queue() {
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let mut queue = std::collections::VecDeque::new();
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queue.push_back("e1");
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queue.push_back("e2");
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queue.push_back("e3");
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assert_eq!(queue.pop_front(), Some("e1"));
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assert_eq!(queue.len(), 2);
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}
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/// Test: Path finding result structure
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#[test]
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fn test_path_finding_result() {
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let source = "e1";
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let target = "e5";
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let path_count = 3;
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let shortest_distance = Some(2);
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assert!(path_count > 0);
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assert!(shortest_distance.is_some());
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}
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/// Test: No path found (returns None)
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#[test]
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fn test_no_path_found() {
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let path: Option<usize> = None;
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assert!(path.is_none());
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}
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/// Test: Entity ID validation
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#[test]
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fn test_entity_id_format() {
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let entity_id = "e123";
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assert!(!entity_id.is_empty());
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assert!(entity_id.starts_with('e'));
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}
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/// Test: Relation type validation
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#[test]
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fn test_relation_type_format() {
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let relation_type = "depends_on";
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assert!(!relation_type.is_empty());
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assert!(relation_type.contains('_'));
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}
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/// Test: Confidence value range
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#[test]
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fn test_confidence_range() {
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let confidences = vec![0.0, 0.5, 1.0];
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for conf in confidences {
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assert!(conf >= 0.0 && conf <= 1.0);
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}
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}
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/// Test: Performance - path finding with moderate graph
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#[test]
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fn test_path_finding_performance() {
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// Simulate finding path in 100-node graph
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let nodes = 100;
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let max_depth = 5;
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// BFS explores at most m^d nodes (m=avg_degree, d=depth)
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// With avg_degree=3, explores ~243 nodes max
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let estimated_operations = 3_usize.pow(max_depth as u32);
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assert!(estimated_operations < nodes);
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}
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}
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