//! Integration Tests: Complete Substrate Workflow //! //! These tests verify the end-to-end functionality of the cognitive substrate, //! from pattern storage through querying and retrieval. #[cfg(test)] mod substrate_tests { // Note: These imports will be available once crates are implemented // use exo_core::{Pattern, Query, SubstrateConfig}; // use exo_backend_classical::ClassicalBackend; // use exo_manifold::ManifoldEngine; /// Test: Complete substrate workflow /// /// Steps: /// 1. Initialize substrate with classical backend /// 2. Store multiple patterns with embeddings /// 3. Query with similarity search /// 4. Verify results match expected patterns #[tokio::test] #[ignore] // Remove this when crates are implemented async fn test_substrate_store_and_retrieve() { // TODO: Implement once exo-core and exo-backend-classical exist // Expected API usage: // let config = SubstrateConfig::default(); // let backend = ClassicalBackend::new(config).unwrap(); // let substrate = SubstrateInstance::new(backend); // // Store patterns // let pattern1 = Pattern { // embedding: vec![1.0, 0.0, 0.0, 0.0], // metadata: Metadata::new(), // timestamp: SubstrateTime::now(), // antecedents: vec![], // }; // // let id1 = substrate.store(pattern1.clone()).await.unwrap(); // // let pattern2 = Pattern { // embedding: vec![0.9, 0.1, 0.0, 0.0], // metadata: Metadata::new(), // timestamp: SubstrateTime::now(), // antecedents: vec![], // }; // // let id2 = substrate.store(pattern2.clone()).await.unwrap(); // // // Query // let query = Query::from_embedding(vec![1.0, 0.0, 0.0, 0.0]); // let results = substrate.search(query, 2).await.unwrap(); // // // Verify // assert_eq!(results.len(), 2); // assert_eq!(results[0].id, id1); // Closest match // assert!(results[0].score > results[1].score); panic!("Implement this test once exo-core crate exists"); } /// Test: Manifold deformation (continuous learning) /// /// Verifies that the learned manifold can be deformed to incorporate /// new patterns without explicit insert operations. #[tokio::test] #[ignore] async fn test_manifold_deformation() { // TODO: Implement once exo-manifold exists // Expected API: // let manifold = ManifoldEngine::new(config); // // // Initial query should find nothing // let query = Tensor::from_floats(&[0.5, 0.5, 0.0, 0.0]); // let before = manifold.retrieve(query.clone(), 1); // assert!(before.is_empty()); // // // Deform manifold with new pattern // let pattern = Pattern { embedding: vec![0.5, 0.5, 0.0, 0.0], ... }; // manifold.deform(pattern, salience=1.0); // // // Now query should find the pattern // let after = manifold.retrieve(query, 1); // assert_eq!(after.len(), 1); panic!("Implement this test once exo-manifold crate exists"); } /// Test: Strategic forgetting /// /// Verifies that low-salience patterns decay over time. #[tokio::test] #[ignore] async fn test_strategic_forgetting() { // TODO: Implement once exo-manifold exists // Expected behavior: // 1. Store high-salience and low-salience patterns // 2. Trigger forgetting // 3. Verify low-salience patterns are forgotten // 4. Verify high-salience patterns remain panic!("Implement this test once exo-manifold crate exists"); } /// Test: Batch operations and performance /// /// Verifies substrate can handle bulk operations efficiently. #[tokio::test] #[ignore] async fn test_bulk_operations() { // TODO: Implement performance test // Expected: // - Store 10,000 patterns // - Batch query 1,000 times // - Verify latency < 10ms per query (classical backend) panic!("Implement this test once exo-core crate exists"); } /// Test: Filter-based queries /// /// Verifies metadata filtering during similarity search. #[tokio::test] #[ignore] async fn test_filtered_search() { // TODO: Implement once exo-core exists // Expected: // - Store patterns with different metadata tags // - Query with metadata filter // - Verify only matching patterns returned panic!("Implement this test once exo-core crate exists"); } }