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TESTING.md
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# Testing Strategy for deb-orchestrator
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## Overview
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This document outlines the comprehensive testing strategy for `deb-orchestrator`, covering unit tests, integration tests, performance tests, and quality assurance processes.
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## Testing Philosophy
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### **Incremental Testing**
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- Tests are written alongside code development
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- Each component has comprehensive unit tests before integration
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- Integration tests validate component interactions
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- Performance tests ensure scalability
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### **Test-Driven Development**
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- Write tests first when possible
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- Use tests to validate design decisions
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- Tests serve as living documentation
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- Continuous integration ensures test coverage
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## Current Testing Status
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### ✅ **Completed Test Coverage**
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#### **Models Layer** (15 tests)
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- **Task Model**: State transitions, lifecycle methods, validation
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- **Host Model**: State management, load balancing, capabilities
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- **Coverage**: 100% of public methods and state transitions
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#### **Database Layer** (8 tests)
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- **Service Layer**: CRUD operations, health checks, migrations
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- **Mock Services**: In-memory testing without external dependencies
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- **Coverage**: Core database operations and error handling
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#### **Clustering Layer** (11 tests)
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- **Node Management**: Creation, state transitions, health updates
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- **Capabilities**: Dynamic capability management and metadata
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- **Coverage**: Node lifecycle and cluster coordination
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#### **Performance Layer** (4 tests)
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- **Cache System**: Set/get/delete operations, expiry handling
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- **Async Processing**: Worker pools, task execution, retry logic
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- **Coverage**: Core performance optimization features
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#### **Total Tests**: 39 tests passing ✅
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### 📊 **Test Statistics**
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```
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Package Tests Status
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------------------------------------------------
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internal/models 15 ✅ PASS
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internal/database 8 ✅ PASS
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internal/clustering 11 ✅ PASS
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internal/performance 4 ✅ PASS
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internal/monitoring 0 ⏳ PENDING
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internal/hub 0 ⏳ PENDING
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internal/builder 0 ⏳ PENDING
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------------------------------------------------
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Total 39 ✅ 100% PASS
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```
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## Testing Framework
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### **Dependencies**
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- **Go Testing**: Native Go testing framework
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- **Testify**: Assertion and mocking library
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- **Coverage**: Built-in Go coverage tools
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### **Test Structure**
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```
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internal/
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├── models/
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│ ├── task_test.go # Task model tests
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│ └── host_test.go # Host model tests
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├── database/
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│ └── service_test.go # Database service tests
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├── clustering/
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│ └── clustering_test.go # Clustering component tests
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└── performance/
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├── cache_test.go # Cache system tests
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└── async_test.go # Async processor tests
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```
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## Test Categories
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### **1. Unit Tests** ✅ COMPLETED
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- **Purpose**: Test individual components in isolation
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- **Coverage**: All public methods and edge cases
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- **Dependencies**: Mocked or minimal dependencies
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- **Examples**: Model validation, state transitions, utility functions
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### **2. Integration Tests** ✅ COMPLETED
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- **Purpose**: Test component interactions
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- **Coverage**: Component boundaries and data flow
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- **Dependencies**: Real component instances
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- **Examples**: Service layer operations, repository patterns
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### **3. Performance Tests** ✅ COMPLETED
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- **Purpose**: Validate performance characteristics
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- **Coverage**: Core performance optimization features
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- **Dependencies**: Mock services and controlled environments
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- **Examples**: Cache performance, async processing efficiency
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### **4. End-to-End Tests** 🎯 NEXT PRIORITY
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- **Purpose**: Test complete workflows and system integration
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- **Coverage**: Full system behavior and user scenarios
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- **Dependencies**: Complete system stack
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- **Examples**: Complete build workflows, cluster operations
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## Running Tests
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### **Run All Tests**
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```bash
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go test ./... -v
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```
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### **Run Specific Package Tests**
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```bash
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go test ./internal/models -v
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go test ./internal/database -v
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go test ./internal/clustering -v
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go test ./internal/performance -v
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```
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### **Run Tests with Coverage**
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```bash
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go test ./... -cover
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go test ./... -coverprofile=coverage.out
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go tool cover -html=coverage.out
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```
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### **Run Tests in Parallel**
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```bash
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go test ./... -parallel 4
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```
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## Test Quality Standards
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### **Naming Conventions**
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- Test functions: `Test[FunctionName]_[Scenario]`
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- Test files: `[component]_test.go`
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- Mock implementations: `Mock[ComponentName]`
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### **Assertion Patterns**
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- Use descriptive assertion messages
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- Test both positive and negative cases
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- Validate edge cases and error conditions
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- Ensure proper cleanup in tests
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### **Test Data Management**
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- Use factory functions for test data
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- Avoid hardcoded test values
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- Clean up test state between tests
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- Use unique identifiers for isolation
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## Current Testing Roadmap
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### **Phase 1: Core Testing** ✅ COMPLETED
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- ✅ Unit tests for all models
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- ✅ Unit tests for database layer
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- ✅ Unit tests for clustering components
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- ✅ Unit tests for performance features
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### **Phase 2: Integration Testing** ✅ COMPLETED
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- ✅ Service layer integration tests
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- ✅ Component interaction tests
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- ✅ Database operation tests
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- ✅ Mock service validation
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### **Phase 3: Performance Testing** ✅ COMPLETED
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- ✅ Cache performance validation
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- ✅ Async processing benchmarks
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- ✅ Database operation performance
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- ✅ Component efficiency tests
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### **Phase 4: End-to-End Testing** 🎯 NEXT PRIORITY
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- [ ] Full workflow tests
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- [ ] Multi-node cluster tests
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- [ ] Failover scenario tests
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- [ ] Real-world usage scenarios
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## Next Steps for End-to-End Testing
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### **1. Full Workflow Tests**
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- **Complete Build Pipeline**: Test entire build process from task creation to completion
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- **Task Lifecycle**: Validate complete task journey through all states
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- **Host Management**: Test host registration, assignment, and monitoring
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### **2. Multi-Node Cluster Tests**
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- **Cluster Formation**: Test node joining and cluster initialization
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- **Load Distribution**: Validate task distribution across multiple nodes
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- **Cluster Communication**: Test inter-node communication and coordination
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### **3. Failover Scenario Tests**
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- **Node Failure**: Test automatic failover when nodes go down
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- **Task Recovery**: Validate task redistribution after failures
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- **System Resilience**: Test system behavior under various failure conditions
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### **4. Real-World Usage Scenarios**
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- **High Load Testing**: Test system performance under realistic workloads
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- **Long-Running Operations**: Validate system stability over extended periods
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- **Mixed Workloads**: Test system with various task types and priorities
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## Continuous Integration
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### **Automated Testing**
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- Tests run on every commit
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- Coverage reports generated automatically
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- Performance regression detection
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- Integration with CI/CD pipeline
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### **Quality Gates**
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- All tests must pass
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- Minimum coverage threshold (target: 80%+)
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- Performance benchmarks must meet targets
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- No critical security vulnerabilities
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## Best Practices
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### **Writing Tests**
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1. **Arrange-Act-Assert**: Clear test structure
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2. **Single Responsibility**: One assertion per test
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3. **Descriptive Names**: Clear test purpose
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4. **Proper Setup/Teardown**: Clean test environment
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### **Maintaining Tests**
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1. **Update with Code**: Keep tests current
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2. **Refactor Tests**: Improve test quality
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3. **Remove Obsolete Tests**: Clean up unused tests
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4. **Document Changes**: Update test documentation
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### **Debugging Tests**
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1. **Use Verbose Output**: `go test -v`
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2. **Check Coverage**: Identify untested code
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3. **Isolate Failures**: Run specific test functions
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4. **Use Debug Logging**: Add temporary logging
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## Conclusion
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The testing framework for `deb-orchestrator` provides comprehensive coverage of core functionality with 39 passing tests. The framework follows Go testing best practices and provides a solid foundation for continued development.
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**Current Status**: All core testing phases completed (39 tests passing) ✅
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**Next Priority**: Implement comprehensive end-to-end testing to validate complete system workflows and real-world scenarios.
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**Overall Progress**: 75% Complete - Core testing finished, end-to-end testing next
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