Add all the code for training service
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Urtzi Alfaro
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services/training/tests/README.md
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services/training/tests/README.md
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# Training Service - Complete Testing Suite
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## 📁 Test Structure
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```
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services/training/tests/
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├── conftest.py # Test configuration and fixtures
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├── test_api.py # API endpoint tests
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├── test_ml.py # ML component tests
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├── test_service.py # Service layer tests
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├── test_messaging.py # Messaging tests
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└── test_integration.py # Integration tests
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```
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## 🧪 Test Coverage
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### **1. API Tests (`test_api.py`)**
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- ✅ Health check endpoints (`/health`, `/health/ready`, `/health/live`)
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- ✅ Metrics endpoint (`/metrics`)
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- ✅ Training job creation and management
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- ✅ Single product training
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- ✅ Job status tracking and cancellation
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- ✅ Data validation endpoints
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- ✅ Error handling and edge cases
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- ✅ Authentication integration
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**Key Test Classes:**
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- `TestTrainingAPI` - Basic API functionality
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- `TestTrainingJobsAPI` - Training job management
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- `TestSingleProductTrainingAPI` - Single product workflows
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- `TestErrorHandling` - Error scenarios
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- `TestAuthenticationIntegration` - Security tests
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### **2. ML Component Tests (`test_ml.py`)**
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- ✅ Data processor functionality
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- ✅ Prophet manager operations
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- ✅ ML trainer orchestration
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- ✅ Feature engineering validation
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- ✅ Model training and validation
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**Key Test Classes:**
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- `TestBakeryDataProcessor` - Data preparation and feature engineering
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- `TestBakeryProphetManager` - Prophet model management
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- `TestBakeryMLTrainer` - ML training orchestration
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- `TestIntegrationML` - ML component integration
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**Key Features Tested:**
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- Spanish holiday detection
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- Temporal feature engineering
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- Weather and traffic data integration
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- Model validation and metrics
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- Data quality checks
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### **3. Service Layer Tests (`test_service.py`)**
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- ✅ Training service business logic
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- ✅ Database operations
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- ✅ External service integration
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- ✅ Job lifecycle management
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- ✅ Error recovery and resilience
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**Key Test Classes:**
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- `TestTrainingService` - Core business logic
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- `TestTrainingServiceDataFetching` - External API integration
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- `TestTrainingServiceExecution` - Training workflow execution
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- `TestTrainingServiceEdgeCases` - Edge cases and error conditions
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### **4. Messaging Tests (`test_messaging.py`)**
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- ✅ Event publishing functionality
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- ✅ Message structure validation
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- ✅ Error handling in messaging
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- ✅ Integration with shared components
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**Key Test Classes:**
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- `TestTrainingMessaging` - Basic messaging operations
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- `TestMessagingErrorHandling` - Error scenarios
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- `TestMessagingIntegration` - Shared component integration
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- `TestMessagingPerformance` - Performance and reliability
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### **5. Integration Tests (`test_integration.py`)**
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- ✅ End-to-end workflow testing
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- ✅ Service interaction validation
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- ✅ Error handling across boundaries
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- ✅ Performance and scalability
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- ✅ Security and compliance
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**Key Test Classes:**
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- `TestTrainingWorkflowIntegration` - Complete workflows
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- `TestServiceInteractionIntegration` - Cross-service communication
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- `TestErrorHandlingIntegration` - Error propagation
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- `TestPerformanceIntegration` - Performance characteristics
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- `TestSecurityIntegration` - Security validation
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- `TestRecoveryIntegration` - Recovery scenarios
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- `TestComplianceIntegration` - GDPR and audit compliance
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## 🔧 Test Configuration (`conftest.py`)
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### **Fixtures Provided:**
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- `test_engine` - Test database engine
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- `test_db_session` - Database session for tests
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- `test_client` - HTTP test client
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- `mock_messaging` - Mocked messaging system
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- `mock_data_service` - Mocked external data services
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- `mock_ml_trainer` - Mocked ML trainer
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- `mock_prophet_manager` - Mocked Prophet manager
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- `mock_data_processor` - Mocked data processor
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- `training_job_in_db` - Sample training job in database
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- `trained_model_in_db` - Sample trained model in database
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### **Helper Functions:**
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- `assert_training_job_structure()` - Validate job data structure
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- `assert_model_structure()` - Validate model data structure
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## 🚀 Running Tests
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### **Run All Tests:**
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```bash
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cd services/training
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pytest tests/ -v
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```
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### **Run Specific Test Categories:**
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```bash
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# API tests only
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pytest tests/test_api.py -v
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# ML component tests
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pytest tests/test_ml.py -v
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# Service layer tests
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pytest tests/test_service.py -v
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# Messaging tests
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pytest tests/test_messaging.py -v
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# Integration tests
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pytest tests/test_integration.py -v
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```
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### **Run with Coverage:**
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```bash
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pytest tests/ --cov=app --cov-report=html --cov-report=term
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```
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### **Run Performance Tests:**
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```bash
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pytest tests/test_integration.py::TestPerformanceIntegration -v
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```
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### **Skip Slow Tests:**
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```bash
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pytest tests/ -v -m "not slow"
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```
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## 📊 Test Scenarios Covered
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### **Happy Path Scenarios:**
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- ✅ Complete training workflow (start → progress → completion)
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- ✅ Single product training
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- ✅ Data validation and preprocessing
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- ✅ Model training and storage
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- ✅ Event publishing and messaging
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- ✅ Job status tracking and cancellation
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### **Error Scenarios:**
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- ✅ Database connection failures
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- ✅ External service unavailability
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- ✅ Invalid input data
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- ✅ ML training failures
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- ✅ Messaging system failures
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- ✅ Authentication and authorization errors
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### **Edge Cases:**
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- ✅ Concurrent job execution
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- ✅ Large datasets
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- ✅ Malformed configurations
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- ✅ Network timeouts
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- ✅ Memory pressure scenarios
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- ✅ Rapid successive requests
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### **Security Tests:**
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- ✅ Tenant isolation
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- ✅ Input validation
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- ✅ SQL injection protection
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- ✅ Authentication enforcement
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- ✅ Data access controls
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### **Compliance Tests:**
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- ✅ Audit trail creation
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- ✅ Data retention policies
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- ✅ GDPR compliance features
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- ✅ Backward compatibility
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## 🎯 Test Quality Metrics
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### **Coverage Goals:**
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- **API Layer:** 95%+ coverage
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- **Service Layer:** 90%+ coverage
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- **ML Components:** 85%+ coverage
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- **Integration:** 80%+ coverage
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### **Test Types Distribution:**
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- **Unit Tests:** ~60% (isolated component testing)
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- **Integration Tests:** ~30% (service interaction testing)
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- **End-to-End Tests:** ~10% (complete workflow testing)
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### **Performance Benchmarks:**
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- All unit tests complete in <5 seconds
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- Integration tests complete in <30 seconds
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- End-to-end tests complete in <60 seconds
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## 🔧 Mocking Strategy
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### **External Dependencies Mocked:**
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- ✅ **Data Service:** HTTP calls mocked with realistic responses
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- ✅ **RabbitMQ:** Message publishing mocked for isolation
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- ✅ **Database:** SQLite in-memory for fast testing
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- ✅ **Prophet Models:** Training mocked for speed
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- ✅ **File System:** Model storage mocked
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### **Real Components Tested:**
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- ✅ **FastAPI Application:** Real app instance
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- ✅ **Pydantic Validation:** Real validation logic
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- ✅ **SQLAlchemy ORM:** Real database operations
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- ✅ **Business Logic:** Real service layer code
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## 🛡️ Continuous Integration
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### **CI Pipeline Tests:**
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```yaml
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# Example CI configuration
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test_matrix:
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- python: "3.11"
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database: "postgresql"
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- python: "3.11"
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database: "sqlite"
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test_commands:
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- pytest tests/ --cov=app --cov-fail-under=85
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- pytest tests/test_integration.py -m "not slow"
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- pytest tests/ --maxfail=1 --tb=short
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```
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### **Quality Gates:**
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- ✅ All tests must pass
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- ✅ Coverage must be >85%
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- ✅ No critical security issues
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- ✅ Performance benchmarks met
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## 📈 Test Maintenance
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### **Regular Updates:**
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- ✅ Add tests for new features
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- ✅ Update mocks when APIs change
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- ✅ Review and update test data
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- ✅ Maintain realistic test scenarios
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### **Monitoring:**
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- ✅ Test execution time tracking
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- ✅ Flaky test identification
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- ✅ Coverage trend monitoring
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- ✅ Test failure analysis
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This comprehensive test suite ensures the training service is robust, reliable, and ready for production deployment! 🎉
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