# Test Improvement Plan for Session-Mgmt-MCP

## Overview

This document outlines the improvements to be made to the test suite for the session-buddy project. The goal is to enhance test coverage, add more robust testing patterns, and improve overall test quality.

## Current Test Infrastructure Analysis

- Comprehensive fixture setup in `conftest.py`
- Test helpers in `helpers.py` with utilities for data generation, mocking, and assertions
- Well-organized test directories: unit, integration, functional, performance, security
- Good async test support using pytest-asyncio
- Coverage reporting configured

## Identified Areas for Improvement

### 1. Missing Test Coverage

- [ ] Edge cases for error handling in critical components
- [ ] Boundary conditions for input validation
- [ ] Negative test scenarios
- [ ] Exception propagation paths
- [ ] Resource cleanup scenarios

### 2. Property-Based Testing

- [ ] Use Hypothesis for testing with varied inputs
- [ ] Test invariants and properties of system behavior
- [ ] Generate complex input data automatically

### 3. Performance Testing

- [ ] Add benchmarks for performance-critical operations
- [ ] Memory usage monitoring
- [ ] Database query performance
- [ ] Embedding generation and search performance

### 4. Integration Testing

- [ ] End-to-end workflows
- [ ] Database interactions
- [ ] MCP server integration
- [ ] Cross-component interactions

### 5. Security Testing

- [ ] Input validation and sanitization
- [ ] Permissions and access control
- [ ] Data sanitization for sensitive information

## Specific Action Items

### Unit Tests

- [ ] Add missing unit tests for uncovered functions
- [ ] Create tests for error conditions and edge cases
- [ ] Add more comprehensive mocking strategies
- [ ] Test reflection storage and retrieval with various data sizes

### Integration Tests

- [ ] Test complete session lifecycle: init → checkpoint → end
- [ ] Test database operations with real database connections
- [ ] Test embedding generation with different content types
- [ ] Test git operations with various repository states

### Performance Tests

- [ ] Benchmark search operations with large datasets
- [ ] Measure memory usage during reflection storage
- [ ] Benchmark quality scoring algorithms
- [ ] Performance tests for concurrent operations

### Security Tests

- [ ] Test for injection vulnerabilities in search
- [ ] Validate file handling and path traversal protection
- [ ] Test permissions and access control mechanisms

## Implementation Approach

### Phase 1: Basic Coverage Enhancement

- Add unit tests for uncovered functions
- Address critical edge cases in error handling
- Implement basic property-based tests for core functions

### Phase 2: Advanced Testing

- Add comprehensive integration tests
- Implement performance benchmarks
- Add security-focused tests

### Phase 3: Quality Assurance

- Set up continuous testing pipeline
- Implement test result reporting
- Establish test coverage thresholds

## Tools and Techniques

- Hypothesis for property-based testing
- pytest-benchmark for performance testing
- Coverage.py for coverage reporting
- pytest-timeout for detecting hanging tests
- Mocking with unittest.mock and pytest-mock

## Success Metrics

- Increase test coverage to 85%+ for critical modules
- Add 50+ new test cases covering edge cases
- Implement 10+ property-based tests
- Establish performance benchmarks for key operations
- Eliminate critical and high severity issues identified by tests

## Timeline

- Phase 1: 1 week
- Phase 2: 2 weeks
- Phase 3: 1 week
