Notepad++ MCP Server

# Megatest Concept - Comprehensive Advanced Memory Integration Test ## End-to-End System Validation from Cold Start to Complex Operations ## 🎯 Overview The **Megatest** is a comprehensive integration test suite that exercises Advanced Memory MCP through realistic usage patterns, edge cases, and error conditions. It validates the entire system from cold start through complex multi-project operations. ## 🚨 CRITICAL: Production Data Safety **THE MEGATEST MUST NEVER TOUCH PRODUCTION DATA!** ### Isolation Guarantees 1. ✅ **Separate test directory** - Completely isolated from production MD folders 2. ✅ **Separate test database** - In-memory or temporary file, NEVER production DB 3. ✅ **Explicit safeguards** - Multiple checks prevent accidental production access 4. ✅ **Test-only configuration** - Separate config file for test environment 5. ✅ **Cleanup on exit** - All test data deleted after completion (unless preserved for debugging) ### Safety Mechanisms ```python # ENFORCED: Test cannot run if production paths detected if is_production_path(config.db_path): raise RuntimeError("FATAL: Attempted to use production database!") if is_production_path(config.home_dir): raise RuntimeError("FATAL: Attempted to use production MD folder!") # ENFORCED: Test directory must be in temp or test-specific location ALLOWED_TEST_PATHS = [ Path("test_data/megatest/"), # Relative test path Path(tempfile.gettempdir()), # System temp directory Path.cwd() / "tests/megatest/data" # Test-specific directory ] ``` ### Pre-Flight Checks Before ANY test operations: 1. ✅ Verify test directory is NOT in production path 2. ✅ Verify database is NOT production database 3. ✅ Create isolated test environment 4. ✅ Display test paths for verification 5. ✅ Require explicit confirmation if running outside pytest ## 📊 Multi-Level Test Strategy ### Test Levels (Pyramid Approach) ``` ┌─────────────────────┐ │ LEVEL 5: FULL │ 90 min (All features) │ BLAST │ └─────────────────────┘ ┌──────────────────────────────┐ │ LEVEL 4: INTEGRATION │ 45 min (Export/Import) └──────────────────────────────┘ ┌────────────────────────────────────────┐ │ LEVEL 3: ADVANCED │ 20 min (Search/Relations) └────────────────────────────────────────┘ ┌──────────────────────────────────────────────────┐ │ LEVEL 2: STANDARD │ 10 min (CRUD + Multi-project) └──────────────────────────────────────────────────┘ ┌────────────────────────────────────────────────────────────┐ │ LEVEL 1: SMOKE TEST │ 2 min (Basic functions) └────────────────────────────────────────────────────────────┘ ``` ### Level 1: Smoke Test (2 minutes) ⚡ **Purpose**: Quick validation that core system works **What's Tested**: - Cold start initialization - Create 10 simple notes - Read notes back - Basic search (5 queries) - Delete notes - Verify cleanup **Use Cases**: - ✅ Quick sanity check after changes - ✅ Pre-commit validation - ✅ Rapid development feedback - ✅ CI fast path **Run**: `pytest tests/megatest/ -v -m megatest_smoke` --- ### Level 2: Standard Test (10 minutes) 🔧 **Purpose**: Validate core functionality **What's Tested**: - All Level 1 operations - Create 30 notes (simple + complex) - Multi-project operations (3 projects) - All CRUD operations (create, read, update, delete) - Basic search (20 queries) - Tag operations (add, remove, search by tag) - Basic edge cases (malformed frontmatter) **Use Cases**: - ✅ Pre-PR validation - ✅ Feature development testing - ✅ Regression prevention - ✅ Daily CI run **Run**: `pytest tests/megatest/ -v -m megatest_standard` --- ### Level 3: Advanced Test (20 minutes) 🚀 **Purpose**: Validate advanced features **What's Tested**: - All Level 2 operations - Create 60 notes (varied complexity) - Advanced search (50 queries with boolean, phrases) - Relationship traversal (knowledge graph) - Context building (memory:// URLs) - Performance metrics collection - Edge cases (large files, special chars) **Use Cases**: - ✅ Weekly validation - ✅ Before minor releases - ✅ Performance benchmarking - ✅ Feature integration testing **Run**: `pytest tests/megatest/ -v -m megatest_advanced` --- ### Level 4: Integration Test (45 minutes) 📦 **Purpose**: Validate import/export ecosystem **What's Tested**: - All Level 3 operations - Create 80 notes - **All Export Formats**: - Docsify (basic + enhanced) - HTML (standalone) - Joplin (with metadata) - Pandoc (PDF, DOCX, HTML) - Archive (full backup) - **All Import Formats**: - Obsidian vault - Joplin export - Notion export - Evernote ENEX - Archive restore - **Round-trip Testing**: - Export → Import → Verify integrity **Use Cases**: - ✅ Before major releases - ✅ Integration validation - ✅ Data portability testing - ✅ Weekly comprehensive check **Run**: `pytest tests/megatest/ -v -m megatest_integration` --- ### Level 5: Full Blast (90 minutes) 💥 **Purpose**: Complete system validation **What's Tested**: - All Level 4 operations - Create 100+ notes (all types) - All edge cases (30 scenarios) - Stress testing (high volume) - Concurrent operations - Resource exhaustion tests - **Working Docsify site** (validate browseable) - **Working HTML site** (validate links work) - Error recovery scenarios - Long-running operations - Comprehensive analysis **Use Cases**: - ✅ Before stable releases - ✅ Monthly comprehensive validation - ✅ Pre-production deployment - ✅ Full system certification **Run**: `pytest tests/megatest/ -v -m megatest_full` --- ## 🎯 Test Goals by Level ### Level 1: Smoke (Quick & Dirty) - ✅ System initializes - ✅ Basic CRUD works - ✅ No crashes on simple operations - **Time**: 2 minutes - **Coverage**: 20% of features ### Level 2: Standard - ✅ Multi-project works - ✅ All CRUD operations - ✅ Basic search works - ✅ Tag operations work - **Time**: 10 minutes - **Coverage**: 40% of features ### Level 3: Advanced - ✅ Advanced search works - ✅ Knowledge graph navigation - ✅ Performance acceptable - ✅ Edge cases handled - **Time**: 20 minutes - **Coverage**: 60% of features ### Level 4: Integration - ✅ All exports work - ✅ All imports work - ✅ Round-trip integrity - ✅ Data portability - **Time**: 45 minutes - **Coverage**: 80% of features ### Level 5: Full Blast - ✅ Everything works - ✅ Stress tested - ✅ Production-ready - ✅ Complete confidence - **Time**: 90 minutes - **Coverage**: 100% of features ## 🏗️ Test Architecture ### Phase Structure ``` Phase 1: Setup & Cold Start (Empty system) ↓ Phase 2: Synthetic Data Generation (100+ notes) ↓ Phase 3: Multi-Project Operations (Create, switch, organize) ↓ Phase 4: CRUD Operations (Create, Read, Update, Delete) ↓ Phase 5: Advanced Features (Search, export, import) ↓ Phase 6: Edge Cases & Error Conditions (Malformed files, illegal operations) ↓ Phase 7: Stress Testing (High volume, rapid operations) ↓ Phase 8: Analysis & Reporting (Statistics, performance metrics) ``` ## 📋 Detailed Test Phases ### Phase 1: Setup & Cold Start (5 minutes) **Purpose**: Validate clean initialization with STRICT ISOLATION **Operations**: ```python # 1.0 SAFETY CHECKS (CRITICAL!) # These MUST pass or test aborts immediately def validate_test_environment(): # Get production paths from system production_db = get_production_db_path() production_home = get_production_home_dir() # Get test paths test_db = config.test_db_path test_home = config.test_home_dir # CRITICAL: Ensure test paths are different assert test_db != production_db, "FATAL: Test DB same as production!" assert test_home != production_home, "FATAL: Test home same as production!" # CRITICAL: Ensure test paths are in safe locations assert is_safe_test_path(test_db), f"FATAL: Unsafe DB path: {test_db}" assert is_safe_test_path(test_home), f"FATAL: Unsafe home path: {test_home}" # CRITICAL: Verify production data is untouched if production_db.exists(): prod_checksum_before = compute_checksum(production_db) # Store for post-test verification # Display test environment for verification print(f""" ╔══════════════════════════════════════════════════════════╗ ║ MEGATEST ENVIRONMENT - ISOLATED ║ ╠══════════════════════════════════════════════════════════╣ ║ Production DB: {production_db} [PROTECTED] ║ ║ Production Home: {production_home} [PROTECTED] ║ ║ ║ ║ Test DB: {test_db} [TEST ONLY] ║ ║ Test Home: {test_home} [TEST ONLY] ║ ║ ║ ║ Status: ✅ ISOLATED - Safe to proceed ║ ╚══════════════════════════════════════════════════════════╝ """) # 1.1 Clean Environment (Test Only!) - Delete existing test database (NOT production!) - Clear test markdown directory (NOT production!) - Reset test configuration (NOT production!) # 1.2 Initialize Test System - Create fresh TEST database with migrations - Initialize empty TEST projects - Verify clean slate (0 entities, 0 relations) # 1.3 Test Project Creation - Create 3 TEST projects in TEST directory: • "test_personal" (main test project) • "test_work" (secondary project) • "test_archive" (for cleanup tests) # 1.4 Validation - Test database exists and is empty - All test projects accessible - Sync service initialized for TEST directory - Production data UNTOUCHED (verified) ``` **Expected Results**: - Clean TEST database created - All TEST projects initialized - No errors in logs - System ready for TEST operations - **Production data VERIFIED SAFE** --- ### Phase 2: Synthetic Data Generation (10 minutes) **Purpose**: Create diverse test data covering all content types **Content Types**: #### 2.1 Simple Notes (20 notes) ```markdown # Simple Note {id} Created: {timestamp} Category: simple This is a simple note with minimal content. No special formatting or links. ``` **Characteristics**: - Length: 50-200 words - No wikilinks - Basic frontmatter - Various tags #### 2.2 Complex Notes (20 notes) ```markdown --- title: Complex Note {id} tags: [complex, test, research] entity_type: document created: {timestamp} --- # Complex Note {id} ## Overview This note contains [[Simple Note 1]] and [[Simple Note 2]] references. ## Details - Bullet points with **formatting** - *Italic* and ***bold italic*** text - Code blocks: ```python def example(): return "test" ``` ## Relations - related_to [[Complex Note {id-1}]] - references [[Simple Note {id}]] ## Observations - [category] This is an observation - [insight] Another categorized observation ``` **Characteristics**: - Length: 500-2000 words - 5-10 wikilinks each - 3-5 observations - 2-4 relations - Rich formatting (tables, code, lists) #### 2.3 Very Long Notes (10 notes) ```markdown # Long Note {id} {Generate 5000+ words of lorem ipsum with structure} {Include 20+ sections} {Add 30+ wikilinks} {Add 10+ code blocks} {Add 5+ tables} ``` **Characteristics**: - Length: 5000-10000 words - 30+ wikilinks - Deep nesting (6+ heading levels) - Multiple content types mixed #### 2.4 Edge Case Notes (30 notes) **Malformed Frontmatter** (5 notes): ```markdown --- title: Bad YAML Note invalid: yaml: structure: - broken - nesting --- Content here ``` **Excessive Links** (5 notes): ```markdown # Link Heavy Note [[Link1]] [[Link2]] [[Link3]] ... [[Link50]] Testing parser limits. ``` **Special Characters** (5 notes): ```markdown # Special Chars: "quotes" & <tags> | pipes | [brackets] {braces} Testing sanitization & escaping. ``` **Very Long Lines** (5 notes): ```markdown # Long Line Note This is a single line that is extremely long and continues for over 5000 characters without any line breaks to test line length handling and parsing performance {continue for 5000+ chars} ``` **Unicode & Emoji** (5 notes): ```markdown # Unicode Test 🎉🚀✨ Content with 中文, العربية, עברית, 日本語 Emojis: 😀😃😄😁😆😅🤣😂 ``` **Large Files** (5 notes): ```markdown # Large File Note {Generate 9MB of content - near 10MB limit} Test file size handling. ``` #### 2.5 Multi-Project Notes (20 notes) - 10 notes in "work" project - 5 notes in "archive" project - 5 notes with cross-project references (if supported) --- ### Phase 3: Multi-Project Operations (5 minutes) **Purpose**: Test project management and switching **Operations**: ```python # 3.1 Project Switching - Switch to "personal" - List all notes (should see 70 notes) - Switch to "work" - List all notes (should see 10 notes) - Switch back to "personal" # 3.2 Project Statistics - Get entity count per project - Get relation count per project - Get total file size per project # 3.3 Cross-Project Search - Search across all projects - Verify results are project-scoped ``` **Validation**: - Project isolation verified - Counts match expected - Switching is fast (<100ms) --- ### Phase 4: CRUD Operations (15 minutes) **Purpose**: Test all basic operations #### 4.1 Create (20 operations) ```python # Create notes via API - Create 10 notes via write_note() - Create 5 notes via direct file write (edge case) - Create 5 notes with file then update database # Validation - All notes appear in database - Checksums correct - Search index updated ``` #### 4.2 Read (50 operations) ```python # Read via various methods - Read by title (20 notes) - Read by permalink (20 notes) - Read by memory:// URL (10 notes) - Read non-existent note (error handling) # Validation - Content matches source - Performance <50ms per read ``` #### 4.3 Update (30 operations) ```python # Various update patterns - Update content only (10 notes) - Update frontmatter only (5 notes) - Update both content + frontmatter (5 notes) - Add wikilinks (5 notes) - Remove wikilinks (5 notes) # Validation - Changes persisted - Checksums updated - Relations updated ``` #### 4.4 Delete (20 operations) ```python # Delete patterns - Delete via API (10 notes) - Delete via file removal + sync (5 notes) - Delete note with incoming links (5 notes) # Validation - Notes removed from DB - Orphaned links handled - Search index updated ``` --- ### Phase 5: Advanced Features (20 minutes) #### 5.1 Search Operations (100 queries) ```python # Full-text search - Simple keyword search (30 queries) - Phrase search (20 queries) - Boolean search (AND, OR, NOT) (20 queries) - Tag-based search (15 queries) - Date range search (15 queries) # Performance metrics - Average query time - Index size - Result relevance scores # Validation - All relevant results returned - No false positives - Performance <100ms per query ``` #### 5.2 Relationship Traversal (50 operations) ```python # Navigate knowledge graph - Find all outgoing links (20 notes) - Find all incoming links (20 notes) - Find related notes (depth=2) (10 notes) # Validation - All relations found - No cycles cause hangs - Performance acceptable ``` #### 5.3 Export Operations (10 exports) ```python # Test all export formats - Export to Docsify (2 projects) - Export to HTML (2 projects) - Export to Joplin (2 projects) - Export to Pandoc PDF (2 projects) - Export to archive (2 projects) # Validation - All files created - Content intact - Format valid - No data loss # Performance - Export time per format - File sizes ``` #### 5.4 Import Operations (5 imports) ```python # Test all import formats - Import from Obsidian vault - Import from Joplin export - Import from Notion export - Import from Evernote ENEX - Import from archive # Validation - All notes imported - Relations preserved - Metadata intact - No duplicates ``` --- ### Phase 6: Edge Cases & Error Conditions (30 minutes) **Purpose**: Test error handling and recovery #### 6.1 Malformed Files (20 scenarios) ```python # Create problematic files directly in filesystem - Invalid YAML frontmatter (5 files) - Corrupted UTF-8 encoding (5 files) - Files with no extension (3 files) - Files with wrong extension (.txt, .html) (3 files) - Empty files (2 files) - Binary files in MD folder (2 files) # Trigger sync # Validation - Sync completes without crash - Errors logged clearly - Valid files processed - Invalid files skipped with warnings ``` #### 6.2 Illegal Operations (15 scenarios) ```python # Operations that should be rejected gracefully - Create note with invalid characters in title - Create note with path traversal attempt (../) - Delete system files attempt - Modify read-only files - Create circular wikilinks (A->B->C->A) - Create very deep folder nesting (20+ levels) - Create filename collision # Validation - All rejected gracefully - Clear error messages - System remains stable - No data corruption ``` #### 6.3 Concurrent Operations (10 scenarios) ```python # Simulate concurrent access - Multiple writes to same file - Read during write - Delete during read - Sync during heavy operations # Validation - No race conditions - No data corruption - Locks work correctly ``` #### 6.4 Resource Exhaustion (5 scenarios) ```python # Test limits - Create 1000 notes rapidly - Search with very long query (10000 chars) - Export with 1000+ notes - Import 1000+ notes - Sync 1000+ file changes # Validation - System handles gracefully - No memory leaks - Performance degradation acceptable - Recovery after load ``` --- ### Phase 7: Stress Testing (15 minutes) **Purpose**: Test system under load #### 7.1 High Volume Operations ```python # Rapid operations - Create 100 notes in 10 seconds - Update 100 notes in 10 seconds - Search 100 queries in 10 seconds - Delete 50 notes in 5 seconds # Metrics - Operations per second - Error rate - Memory usage - CPU usage ``` #### 7.2 Large Dataset Operations ```python # Work with 1000+ notes - Search across 1000 notes - Export 1000 notes - Sync 1000 notes - Traverse deep knowledge graph (10+ hops) # Metrics - Response times - Index efficiency - Sync speed (notes/second) ``` #### 7.3 Long-Running Operations ```python # Operations that take minutes - Import 1000+ note Obsidian vault - Export to comprehensive Docsify site - Full database reindex - Complete archive export # Validation - Complete successfully - Progress reporting works - Cancellable (Ctrl+C) - Resume capability ``` --- ### Phase 8: Analysis & Reporting (10 minutes) **Purpose**: Generate comprehensive test report #### 8.1 Data Integrity Analysis ```python # Verify data consistency - Count entities in DB vs filesystem - Verify all checksums match - Check for orphaned records - Validate all relations bidirectional - Verify search index complete # Generate report integrity_report = { "total_files": X, "total_db_entities": Y, "match": X == Y, "checksum_mismatches": 0, "orphaned_relations": 0, "index_completeness": "100%" } ``` #### 8.2 Performance Analysis ```python # Aggregate metrics performance_report = { "sync_speed": "X notes/second", "search_avg": "X ms/query", "read_avg": "X ms/note", "write_avg": "X ms/note", "export_speed": "X notes/second", "import_speed": "X notes/second" } ``` #### 8.3 Error Analysis ```python # Summarize errors error_report = { "total_operations": 1500, "successful": 1480, "failed": 20, "error_rate": "1.3%", "errors_by_type": { "malformed_files": 15, "invalid_operations": 5 }, "crashes": 0, # Must be 0! "hangs": 0 # Must be 0! } ``` #### 8.4 Coverage Analysis ```python # Feature coverage coverage_report = { "projects": "✅ 3 projects tested", "crud": "✅ All operations tested", "search": "✅ 100 queries tested", "export": "✅ 5 formats tested", "import": "✅ 5 sources tested", "edge_cases": "✅ 50 scenarios tested", "stress": "✅ High load tested" } ``` #### 8.5 Final Report ```markdown # Advanced Memory Megatest Report ## Summary - **Total Duration**: 90 minutes - **Total Operations**: 1500 - **Success Rate**: 98.7% - **Crashes**: 0 ✅ - **Hangs**: 0 ✅ - **Data Integrity**: 100% ✅ ## Performance - Sync Speed: 45 notes/second - Search: 42ms avg - Export: 12 notes/second - Import: 8 notes/second ## Coverage - ✅ Multi-project operations - ✅ All CRUD operations - ✅ Advanced features (search, export, import) - ✅ Edge cases and errors - ✅ Stress testing - ✅ Data integrity ## Issues Found 1. Minor: Slow export with 1000+ notes (12s) 2. Minor: Warning messages for UTF-8 decode 3. None: No critical issues ## Conclusion **PASS** - System is production-ready ``` --- ## 🛠️ Implementation Structure ### Test File Organization ``` tests/megatest/ ├── __init__.py ├── conftest.py # Fixtures and setup ├── test_megatest_runner.py # Main test orchestrator ├── phases/ │ ├── phase1_setup.py # Cold start & initialization │ ├── phase2_generation.py # Synthetic data creation │ ├── phase3_projects.py # Multi-project operations │ ├── phase4_crud.py # CRUD operations │ ├── phase5_advanced.py # Search, export, import │ ├── phase6_edge_cases.py # Error conditions │ ├── phase7_stress.py # Load testing │ └── phase8_analysis.py # Reporting ├── generators/ │ ├── note_generator.py # Synthetic note creation │ ├── content_generator.py # Lorem ipsum, structured text │ └── edge_case_generator.py # Malformed content ├── validators/ │ ├── integrity_validator.py # Data consistency checks │ ├── performance_validator.py # Timing and metrics │ └── coverage_validator.py # Feature coverage └── reporters/ ├── html_reporter.py # HTML report generation ├── json_reporter.py # JSON metrics export └── markdown_reporter.py # MD summary report ``` ### Pytest Configuration ```python # pytest.ini [pytest] markers = megatest: Comprehensive integration test (90+ minutes, ISOLATED) megatest_quick: Quick validation (10 minutes, ISOLATED) megatest_phase: Individual phase tests (ISOLATED) destructive: Test performs destructive operations (MUST be isolated) # SAFETY: Megatest ONLY runs with explicit marker # This prevents accidental execution addopts = -m "not megatest" # Run megatest with EXPLICIT confirmation: # pytest tests/megatest/ -v --tb=short --durations=20 -m megatest ``` ### Safety Features in pytest.ini ```ini [pytest] # Prevent accidental execution testpaths = tests python_files = test_*.py python_classes = Test* python_functions = test_* # Megatest requires EXPLICIT marker addopts = -m "not megatest" --strict-markers --tb=short -v # Safety markers markers = megatest: ISOLATED comprehensive test (NEVER touches production) destructive: ISOLATED destructive operations (NEVER touches production) ``` ### Example Test Structure ```python # test_megatest_runner.py import pytest from pathlib import Path from .phases import * from .reporters import HTMLReporter @pytest.fixture(scope="module") def megatest_context(): """Setup isolated test environment.""" context = MegatestContext( test_dir=Path("test_data/megatest"), db_path=Path("test_data/megatest.db") ) context.clean() yield context context.cleanup() @pytest.mark.megatest def test_megatest_full(megatest_context): """Run complete megatest suite.""" reporter = HTMLReporter() # Phase 1: Setup phase1 = Phase1Setup(megatest_context) results_p1 = phase1.run() reporter.add_phase("Setup", results_p1) # Phase 2: Generation phase2 = Phase2Generation(megatest_context) results_p2 = phase2.run() reporter.add_phase("Generation", results_p2) # ... (continue for all phases) # Phase 8: Analysis phase8 = Phase8Analysis(megatest_context) results_p8 = phase8.run() reporter.add_phase("Analysis", results_p8) # Generate final report report_path = reporter.generate("megatest_report.html") print(f"\nReport generated: {report_path}") # Assert critical metrics assert results_p8.crashes == 0, "System crashed during test!" assert results_p8.hangs == 0, "System hung during test!" assert results_p8.data_integrity == 100, "Data integrity compromised!" ``` --- ## 📊 Metrics Collection ### Performance Metrics ```python class MetricsCollector: def __init__(self): self.operations = [] self.timings = {} self.errors = [] def record_operation(self, op_type, duration, success, details): self.operations.append({ "type": op_type, "duration_ms": duration * 1000, "success": success, "timestamp": time.time(), "details": details }) def get_stats(self, op_type): ops = [o for o in self.operations if o["type"] == op_type] durations = [o["duration_ms"] for o in ops] return { "count": len(ops), "avg_ms": sum(durations) / len(durations) if durations else 0, "min_ms": min(durations) if durations else 0, "max_ms": max(durations) if durations else 0, "success_rate": sum(1 for o in ops if o["success"]) / len(ops) if ops else 0 } ``` --- ## 🎯 Success Criteria Summary ### Must Pass (Critical) - ✅ **Zero crashes** - System never crashes - ✅ **Zero hangs** - Sync never hangs (even with bad files) - ✅ **100% data integrity** - No data loss or corruption - ✅ **All CRUD works** - Basic operations functional - ✅ **Error recovery** - Graceful handling of all errors ### Should Pass (Important) - ✅ **95%+ success rate** - Most operations succeed - ✅ **Performance acceptable** - <100ms avg for reads - ✅ **All exports work** - All formats generate valid output - ✅ **All imports work** - All sources import correctly ### Nice to Have (Optional) - 🎯 **High performance** - <50ms avg for reads - 🎯 **Fast sync** - >100 notes/second - 🎯 **Comprehensive coverage** - All features tested - 🎯 **Detailed reporting** - Beautiful HTML report --- ## 🚀 Running the Megatest ### Full Suite (90 minutes) ```bash pytest tests/megatest/ -v --tb=short -m megatest ``` ### Quick Validation (10 minutes) ```bash pytest tests/megatest/ -v --tb=short -m megatest_quick ``` ### Individual Phase ```bash pytest tests/megatest/phases/test_phase3_projects.py -v ``` ### With Coverage ```bash pytest tests/megatest/ --cov=src/advanced_memory --cov-report=html ``` ### CI Integration ```yaml # .github/workflows/megatest.yml name: Megatest (Weekly) on: schedule: - cron: '0 0 * * 0' # Weekly on Sunday workflow_dispatch: jobs: megatest: runs-on: ubuntu-latest timeout-minutes: 120 steps: - uses: actions/checkout@v4 - name: Run Megatest run: pytest tests/megatest/ -v --tb=short -m megatest - name: Upload Report uses: actions/upload-artifact@v4 with: name: megatest-report path: megatest_report.html ``` --- ## 💡 Benefits of Megatest ### For Development 1. **Confidence**: Comprehensive validation before releases 2. **Regression Detection**: Catch breaking changes early 3. **Performance Baseline**: Track performance over time 4. **Edge Case Coverage**: Test scenarios users might encounter ### For Users 1. **Reliability**: System is battle-tested 2. **Documentation**: Examples of all operations 3. **Trust**: See test results and metrics 4. **Support**: Known edge cases and solutions ### For Maintenance 1. **Refactoring Safety**: Run megatest after major changes 2. **Upgrade Validation**: Test new Python/dependency versions 3. **Platform Testing**: Validate on Windows/Mac/Linux 4. **Load Benchmarking**: Measure capacity limits --- ## 📋 Implementation Priority ### Phase 1 (Week 1): Foundation - [ ] Create test structure - [ ] Implement Phase 1 (setup) - [ ] Implement Phase 2 (generation) - [ ] Basic reporting ### Phase 2 (Week 2): Core Operations - [ ] Implement Phase 3 (projects) - [ ] Implement Phase 4 (CRUD) - [ ] Add metrics collection ### Phase 3 (Week 3): Advanced Features - [ ] Implement Phase 5 (search/export/import) - [ ] Enhanced reporting (HTML) ### Phase 4 (Week 4): Robustness - [ ] Implement Phase 6 (edge cases) - [ ] Implement Phase 7 (stress testing) - [ ] Implement Phase 8 (analysis) ### Phase 5 (Week 5): Polish - [ ] CI integration - [ ] Documentation - [ ] Performance tuning - [ ] Final validation --- ## 🎉 Conclusion The **Megatest** provides comprehensive, real-world validation of Advanced Memory MCP. It tests everything from cold start through complex operations, edge cases, and stress conditions. **Key Value**: Single test run gives complete confidence in system reliability, performance, and data integrity. **Ready for**: Production deployment, user demos, performance benchmarking, continuous validation. --- *Concept created: October 15, 2025* *Status: Ready for implementation* *Estimated effort: 5 weeks (1 developer)* *Expected ROI: High - catches bugs early, validates reliability*