Memory System Test Plan¶

Last Updated: April 14, 2025

This document outlines the comprehensive test plan for the Neuroca memory system. It defines the testing approach, test categories, and specific test cases for each component.

Testing Approach¶

The memory system will be tested using a multi-layered approach:

1. Unit Tests: Test individual components in isolation
2. Integration Tests: Test interactions between components
3. System Tests: Test the entire memory system as a whole
4. Performance Tests: Measure performance characteristics
5. Mutation Tests: Ensure test quality by modifying code and verifying test failures

Test Environment¶

• Development: Local environment with in-memory backends
• CI/CD: Automated tests in the CI pipeline with containerized dependencies
• Staging: Tests against full infrastructure in a staging environment

Test Components¶

1. Storage Backends¶

Unit Tests¶

Integration Tests¶

2. Memory Tiers¶

Unit Tests¶

Integration Tests¶

3. Memory Manager¶

Unit Tests¶

Integration Tests¶

4. Data Models¶

Unit Tests¶

5. System Tests¶

6. Performance Tests¶

Mocking Strategy¶

To isolate components during unit testing, the following mocking strategy will be used:

1. Storage Backend Testing
2. Mock actual database connections for unit tests
3. Use in-memory implementations where possible

4. Use real databases for integration tests

5. Memory Tier Testing

6. Mock storage backends for unit tests

7. Use real backends for integration tests

8. Memory Manager Testing

9. Mock memory tiers for unit tests
10. Use real tiers with mocked backends for integration tests
11. Use real tiers with real backends for system tests

Test Data Strategy¶

1. Synthetic Data
2. Generate varied memory content, metadata, and embeddings

3. Ensure coverage of edge cases (empty content, large content, special characters)

4. Realistic Data

5. Sample real-world memory patterns for more realistic tests
6. Create scenarios that mimic actual user interactions

Testing Tools¶

1. Unit Testing Framework: pytest
2. Mocking: pytest-mock, unittest.mock
3. Coverage: pytest-cov
4. Async Testing: pytest-asyncio
5. Benchmarking: pytest-benchmark
6. Integration Testing: TestContainers for database dependencies

Continuous Integration¶

1. Build Pipeline Stages
2. Run unit tests
3. Run integration tests
4. Run performance tests

5. Generate and publish coverage reports

6. Quality Gates

7. Minimum code coverage: 90%
8. All tests must pass
9. No degradation in performance metrics

Test Implementation Plan¶

Phase 1: Core Test Infrastructure¶

1. Set up test fixtures for all components
2. Implement basic mocks for dependencies
3. Create test data generators

Phase 2: Storage Backend Tests¶

1. Implement unit tests for all storage backends
2. Implement integration tests for backend-specific features

Phase 3: Memory Tier Tests¶

1. Implement unit tests for all memory tiers
2. Implement tier-specific tests (STM, MTM, LTM)

Phase 4: Memory Manager Tests¶

1. Implement unit tests for memory manager
2. Implement tests for cross-tier operations

Phase 5: System and Performance Tests¶

1. Implement end-to-end system tests
2. Implement performance benchmarks
3. Implement load tests for concurrent operations

Test File Structure¶

Tests will follow a structure mirroring the implementation files:

``` tests/unit/memory/ ├── interfaces/ │ ├── test_storage_backend.py │ ├── test_memory_tier.py │ └── test_memory_manager.py ├── models/ │ ├── test_memory_item.py │ ├── test_search.py │ └── test_working_memory.py ├── backends/ │ ├── test_in_memory_backend.py │ ├── test_redis_backend.py │ ├── test_sql_backend.py │ └── test_vector_backend.py ├── tiers/ │ ├── test_stm.py │ ├── test_mtm.py │ └── test_ltm.py └── manager/ ├── test_core.py ├── test_consolidation.py ├── test_decay.py └── test_working_memory.py

tests/integration/memory/ ├── backends/ │ ├── test_redis_integration.py │ ├── test_sql_integration.py │ └── test_vector_integration.py ├── tiers/ │ ├── test_stm_integration.py │ ├── test_mtm_integration.py │ └── test_ltm_integration.py