Add all the code for training service

services/training/tests/README.md

@@ -0,0 +1,263 @@
+# Training Service - Complete Testing Suite
+
+## 📁 Test Structure
+
+```
+services/training/tests/
+├── conftest.py                 # Test configuration and fixtures
+├── test_api.py                 # API endpoint tests
+├── test_ml.py                  # ML component tests
+├── test_service.py             # Service layer tests
+├── test_messaging.py           # Messaging tests
+└── test_integration.py         # Integration tests
+```
+
+## 🧪 Test Coverage
+
+### **1. API Tests (`test_api.py`)**
+- ✅ Health check endpoints (`/health`, `/health/ready`, `/health/live`)
+- ✅ Metrics endpoint (`/metrics`)
+- ✅ Training job creation and management
+- ✅ Single product training
+- ✅ Job status tracking and cancellation
+- ✅ Data validation endpoints
+- ✅ Error handling and edge cases
+- ✅ Authentication integration
+
+**Key Test Classes:**
+- `TestTrainingAPI` - Basic API functionality
+- `TestTrainingJobsAPI` - Training job management
+- `TestSingleProductTrainingAPI` - Single product workflows
+- `TestErrorHandling` - Error scenarios
+- `TestAuthenticationIntegration` - Security tests
+
+### **2. ML Component Tests (`test_ml.py`)**
+- ✅ Data processor functionality
+- ✅ Prophet manager operations
+- ✅ ML trainer orchestration
+- ✅ Feature engineering validation
+- ✅ Model training and validation
+
+**Key Test Classes:**
+- `TestBakeryDataProcessor` - Data preparation and feature engineering
+- `TestBakeryProphetManager` - Prophet model management
+- `TestBakeryMLTrainer` - ML training orchestration
+- `TestIntegrationML` - ML component integration
+
+**Key Features Tested:**
+- Spanish holiday detection
+- Temporal feature engineering
+- Weather and traffic data integration
+- Model validation and metrics
+- Data quality checks
+
+### **3. Service Layer Tests (`test_service.py`)**
+- ✅ Training service business logic
+- ✅ Database operations
+- ✅ External service integration
+- ✅ Job lifecycle management
+- ✅ Error recovery and resilience
+
+**Key Test Classes:**
+- `TestTrainingService` - Core business logic
+- `TestTrainingServiceDataFetching` - External API integration
+- `TestTrainingServiceExecution` - Training workflow execution
+- `TestTrainingServiceEdgeCases` - Edge cases and error conditions
+
+### **4. Messaging Tests (`test_messaging.py`)**
+- ✅ Event publishing functionality
+- ✅ Message structure validation
+- ✅ Error handling in messaging
+- ✅ Integration with shared components
+
+**Key Test Classes:**
+- `TestTrainingMessaging` - Basic messaging operations
+- `TestMessagingErrorHandling` - Error scenarios
+- `TestMessagingIntegration` - Shared component integration
+- `TestMessagingPerformance` - Performance and reliability
+
+### **5. Integration Tests (`test_integration.py`)**
+- ✅ End-to-end workflow testing
+- ✅ Service interaction validation
+- ✅ Error handling across boundaries
+- ✅ Performance and scalability
+- ✅ Security and compliance
+
+**Key Test Classes:**
+- `TestTrainingWorkflowIntegration` - Complete workflows
+- `TestServiceInteractionIntegration` - Cross-service communication
+- `TestErrorHandlingIntegration` - Error propagation
+- `TestPerformanceIntegration` - Performance characteristics
+- `TestSecurityIntegration` - Security validation
+- `TestRecoveryIntegration` - Recovery scenarios
+- `TestComplianceIntegration` - GDPR and audit compliance
+
+## 🔧 Test Configuration (`conftest.py`)
+
+### **Fixtures Provided:**
+- `test_engine` - Test database engine
+- `test_db_session` - Database session for tests
+- `test_client` - HTTP test client
+- `mock_messaging` - Mocked messaging system
+- `mock_data_service` - Mocked external data services
+- `mock_ml_trainer` - Mocked ML trainer
+- `mock_prophet_manager` - Mocked Prophet manager
+- `mock_data_processor` - Mocked data processor
+- `training_job_in_db` - Sample training job in database
+- `trained_model_in_db` - Sample trained model in database
+
+### **Helper Functions:**
+- `assert_training_job_structure()` - Validate job data structure
+- `assert_model_structure()` - Validate model data structure
+
+## 🚀 Running Tests
+
+### **Run All Tests:**
+```bash
+cd services/training
+pytest tests/ -v
+```
+
+### **Run Specific Test Categories:**
+```bash
+# API tests only
+pytest tests/test_api.py -v
+
+# ML component tests
+pytest tests/test_ml.py -v
+
+# Service layer tests
+pytest tests/test_service.py -v
+
+# Messaging tests
+pytest tests/test_messaging.py -v
+
+# Integration tests
+pytest tests/test_integration.py -v
+```
+
+### **Run with Coverage:**
+```bash
+pytest tests/ --cov=app --cov-report=html --cov-report=term
+```
+
+### **Run Performance Tests:**
+```bash
+pytest tests/test_integration.py::TestPerformanceIntegration -v
+```
+
+### **Skip Slow Tests:**
+```bash
+pytest tests/ -v -m "not slow"
+```
+
+## 📊 Test Scenarios Covered
+
+### **Happy Path Scenarios:**
+- ✅ Complete training workflow (start → progress → completion)
+- ✅ Single product training
+- ✅ Data validation and preprocessing
+- ✅ Model training and storage
+- ✅ Event publishing and messaging
+- ✅ Job status tracking and cancellation
+
+### **Error Scenarios:**
+- ✅ Database connection failures
+- ✅ External service unavailability
+- ✅ Invalid input data
+- ✅ ML training failures
+- ✅ Messaging system failures
+- ✅ Authentication and authorization errors
+
+### **Edge Cases:**
+- ✅ Concurrent job execution
+- ✅ Large datasets
+- ✅ Malformed configurations
+- ✅ Network timeouts
+- ✅ Memory pressure scenarios
+- ✅ Rapid successive requests
+
+### **Security Tests:**
+- ✅ Tenant isolation
+- ✅ Input validation
+- ✅ SQL injection protection
+- ✅ Authentication enforcement
+- ✅ Data access controls
+
+### **Compliance Tests:**
+- ✅ Audit trail creation
+- ✅ Data retention policies
+- ✅ GDPR compliance features
+- ✅ Backward compatibility
+
+## 🎯 Test Quality Metrics
+
+### **Coverage Goals:**
+- **API Layer:** 95%+ coverage
+- **Service Layer:** 90%+ coverage
+- **ML Components:** 85%+ coverage
+- **Integration:** 80%+ coverage
+
+### **Test Types Distribution:**
+- **Unit Tests:** ~60% (isolated component testing)
+- **Integration Tests:** ~30% (service interaction testing)
+- **End-to-End Tests:** ~10% (complete workflow testing)
+
+### **Performance Benchmarks:**
+- All unit tests complete in <5 seconds
+- Integration tests complete in <30 seconds
+- End-to-end tests complete in <60 seconds
+
+## 🔧 Mocking Strategy
+
+### **External Dependencies Mocked:**
+- ✅ **Data Service:** HTTP calls mocked with realistic responses
+- ✅ **RabbitMQ:** Message publishing mocked for isolation
+- ✅ **Database:** SQLite in-memory for fast testing
+- ✅ **Prophet Models:** Training mocked for speed
+- ✅ **File System:** Model storage mocked
+
+### **Real Components Tested:**
+- ✅ **FastAPI Application:** Real app instance
+- ✅ **Pydantic Validation:** Real validation logic
+- ✅ **SQLAlchemy ORM:** Real database operations
+- ✅ **Business Logic:** Real service layer code
+
+## 🛡️ Continuous Integration
+
+### **CI Pipeline Tests:**
+```yaml
+# Example CI configuration
+test_matrix:
+  - python: "3.11"
+    database: "postgresql"
+  - python: "3.11" 
+    database: "sqlite"
+
+test_commands:
+  - pytest tests/ --cov=app --cov-fail-under=85
+  - pytest tests/test_integration.py -m "not slow"
+  - pytest tests/ --maxfail=1 --tb=short
+```
+
+### **Quality Gates:**
+- ✅ All tests must pass
+- ✅ Coverage must be >85%
+- ✅ No critical security issues
+- ✅ Performance benchmarks met
+
+## 📈 Test Maintenance
+
+### **Regular Updates:**
+- ✅ Add tests for new features
+- ✅ Update mocks when APIs change
+- ✅ Review and update test data
+- ✅ Maintain realistic test scenarios
+
+### **Monitoring:**
+- ✅ Test execution time tracking
+- ✅ Flaky test identification
+- ✅ Coverage trend monitoring
+- ✅ Test failure analysis
+
+This comprehensive test suite ensures the training service is robust, reliable, and ready for production deployment! 🎉

services/training/tests/conftest.py

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+# services/training/tests/conftest.py
+"""
+Pytest configuration and fixtures for training service tests
+"""
+
+import pytest
+import asyncio
+import os
+from typing import AsyncGenerator, Generator
+from unittest.mock import AsyncMock, Mock, patch
+from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine
+from sqlalchemy.orm import sessionmaker
+from httpx import AsyncClient
+from fastapi.testclient import TestClient
+
+# Add app to Python path
+import sys
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..'))
+
+from app.main import app
+from app.core.database import Base, get_db
+from app.core.config import settings
+from app.models.training import ModelTrainingLog, TrainedModel
+from app.ml.trainer import BakeryMLTrainer
+from app.ml.prophet_manager import BakeryProphetManager
+from app.ml.data_processor import BakeryDataProcessor
+
+# Test database URL
+TEST_DATABASE_URL = "sqlite+aiosqlite:///./test_training.db"
+
+@pytest.fixture(scope="session")
+def event_loop() -> Generator[asyncio.AbstractEventLoop, None, None]:
+    """Create an instance of the default event loop for the test session."""
+    loop = asyncio.get_event_loop_policy().new_event_loop()
+    yield loop
+    loop.close()
+
+@pytest.fixture(scope="session")
+async def test_engine():
+    """Create test database engine"""
+    engine = create_async_engine(TEST_DATABASE_URL, echo=False)
+    
+    # Create all tables
+    async with engine.begin() as conn:
+        await conn.run_sync(Base.metadata.create_all)
+    
+    yield engine
+    
+    # Cleanup
+    await engine.dispose()
+    
+    # Remove test database file
+    try:
+        os.remove("./test_training.db")
+    except FileNotFoundError:
+        pass
+
+@pytest.fixture
+async def test_db_session(test_engine) -> AsyncGenerator[AsyncSession, None]:
+    """Create test database session"""
+    async_session = sessionmaker(
+        test_engine, class_=AsyncSession, expire_on_commit=False
+    )
+    
+    async with async_session() as session:
+        yield session
+        await session.rollback()
+
+@pytest.fixture
+def override_get_db(test_db_session):
+    """Override the get_db dependency"""
+    async def _override_get_db():
+        yield test_db_session
+    
+    app.dependency_overrides[get_db] = _override_get_db
+    yield
+    app.dependency_overrides.clear()
+
+@pytest.fixture
+async def test_client(override_get_db) -> AsyncGenerator[AsyncClient, None]:
+    """Create test HTTP client"""
+    async with AsyncClient(app=app, base_url="http://test") as client:
+        yield client
+
+@pytest.fixture
+def sync_test_client() -> Generator[TestClient, None, None]:
+    """Create synchronous test client for simple tests"""
+    with TestClient(app) as client:
+        yield client
+
+@pytest.fixture
+def mock_messaging():
+    """Mock messaging for tests"""
+    with patch('app.services.messaging.setup_messaging') as mock_setup, \
+         patch('app.services.messaging.cleanup_messaging') as mock_cleanup, \
+         patch('app.services.messaging.publish_job_started') as mock_start, \
+         patch('app.services.messaging.publish_job_completed') as mock_complete, \
+         patch('app.services.messaging.publish_job_failed') as mock_failed:
+        
+        mock_setup.return_value = AsyncMock()
+        mock_cleanup.return_value = AsyncMock()
+        mock_start.return_value = AsyncMock(return_value=True)
+        mock_complete.return_value = AsyncMock(return_value=True)
+        mock_failed.return_value = AsyncMock(return_value=True)
+        
+        yield {
+            'setup': mock_setup,
+            'cleanup': mock_cleanup,
+            'start': mock_start,
+            'complete': mock_complete,
+            'failed': mock_failed
+        }
+
+@pytest.fixture
+def mock_data_service():
+    """Mock external data service responses"""
+    mock_sales_data = [
+        {
+            "date": "2024-01-01",
+            "product_name": "Pan Integral",
+            "quantity": 45
+        },
+        {
+            "date": "2024-01-02", 
+            "product_name": "Pan Integral",
+            "quantity": 52
+        }
+    ]
+    
+    mock_weather_data = [
+        {
+            "date": "2024-01-01",
+            "temperature": 15.2,
+            "precipitation": 0.0,
+            "humidity": 65
+        },
+        {
+            "date": "2024-01-02",
+            "temperature": 18.1,
+            "precipitation": 2.5,
+            "humidity": 72
+        }
+    ]
+    
+    mock_traffic_data = [
+        {
+            "date": "2024-01-01",
+            "traffic_volume": 120
+        },
+        {
+            "date": "2024-01-02",
+            "traffic_volume": 95
+        }
+    ]
+    
+    with patch('httpx.AsyncClient') as mock_client:
+        mock_response = Mock()
+        mock_response.status_code = 200
+        mock_response.json.return_value = {
+            "sales": mock_sales_data,
+            "weather": mock_weather_data,
+            "traffic": mock_traffic_data
+        }
+        
+        mock_client.return_value.__aenter__.return_value.get.return_value = mock_response
+        
+        yield {
+            'sales': mock_sales_data,
+            'weather': mock_weather_data,
+            'traffic': mock_traffic_data
+        }
+
+@pytest.fixture
+def mock_ml_trainer():
+    """Mock ML trainer for testing"""
+    with patch('app.ml.trainer.BakeryMLTrainer') as mock_trainer_class:
+        mock_trainer = Mock(spec=BakeryMLTrainer)
+        
+        # Mock training results
+        mock_training_results = {
+            "job_id": "test-job-123",
+            "tenant_id": "test-tenant",
+            "status": "completed",
+            "products_trained": 1,
+            "products_failed": 0,
+            "total_products": 1,
+            "training_results": {
+                "Pan Integral": {
+                    "status": "success",
+                    "model_info": {
+                        "model_id": "test-model-123",
+                        "model_path": "/test/models/test-model-123.pkl",
+                        "type": "prophet",
+                        "training_samples": 100,
+                        "features": ["temperature", "humidity"],
+                        "training_metrics": {
+                            "mae": 5.2,
+                            "rmse": 7.8,
+                            "mape": 12.5,
+                            "r2_score": 0.85
+                        },
+                        "data_period": {
+                            "start_date": "2024-01-01",
+                            "end_date": "2024-01-31"
+                        }
+                    },
+                    "data_points": 100
+                }
+            },
+            "summary": {
+                "success_rate": 100.0,
+                "total_products": 1,
+                "successful_products": 1,
+                "failed_products": 0
+            }
+        }
+        
+        mock_trainer.train_tenant_models.return_value = AsyncMock(return_value=mock_training_results)
+        mock_trainer.train_single_product.return_value = AsyncMock(return_value={
+            "status": "success",
+            "model_info": mock_training_results["training_results"]["Pan Integral"]["model_info"]
+        })
+        
+        mock_trainer_class.return_value = mock_trainer
+        yield mock_trainer
+
+@pytest.fixture
+def sample_training_job() -> dict:
+    """Sample training job data"""
+    return {
+        "job_id": "test-job-123",
+        "tenant_id": "test-tenant",
+        "status": "pending",
+        "progress": 0,
+        "current_step": "Initializing",
+        "config": {
+            "include_weather": True,
+            "include_traffic": True,
+            "min_data_points": 30
+        }
+    }
+
+@pytest.fixture
+def sample_trained_model() -> dict:
+    """Sample trained model data"""
+    return {
+        "model_id": "test-model-123",
+        "tenant_id": "test-tenant",
+        "product_name": "Pan Integral",
+        "model_type": "prophet",
+        "model_path": "/test/models/test-model-123.pkl",
+        "version": 1,
+        "training_samples": 100,
+        "features": ["temperature", "humidity", "traffic_volume"],
+        "hyperparameters": {
+            "seasonality_mode": "additive",
+            "daily_seasonality": True,
+            "weekly_seasonality": True
+        },
+        "training_metrics": {
+            "mae": 5.2,
+            "rmse": 7.8,
+            "mape": 12.5,
+            "r2_score": 0.85
+        },
+        "is_active": True
+    }
+
+@pytest.fixture
+async def training_job_in_db(test_db_session, sample_training_job):
+    """Create a training job in the test database"""
+    training_log = ModelTrainingLog(**sample_training_job)
+    test_db_session.add(training_log)
+    await test_db_session.commit()
+    await test_db_session.refresh(training_log)
+    return training_log
+
+@pytest.fixture
+async def trained_model_in_db(test_db_session, sample_trained_model):
+    """Create a trained model in the test database"""
+    from datetime import datetime
+    
+    model_data = sample_trained_model.copy()
+    model_data.update({
+        "data_period_start": datetime(2024, 1, 1),
+        "data_period_end": datetime(2024, 1, 31),
+        "created_at": datetime.now()
+    })
+    
+    trained_model = TrainedModel(**model_data)
+    test_db_session.add(trained_model)
+    await test_db_session.commit()
+    await test_db_session.refresh(trained_model)
+    return trained_model
+
+@pytest.fixture
+def mock_prophet_manager():
+    """Mock Prophet manager for testing"""
+    with patch('app.ml.prophet_manager.BakeryProphetManager') as mock_manager_class:
+        mock_manager = Mock(spec=BakeryProphetManager)
+        
+        mock_model_info = {
+            "model_id": "test-model-123",
+            "model_path": "/test/models/test-model-123.pkl",
+            "type": "prophet",
+            "training_samples": 100,
+            "features": ["temperature", "humidity"],
+            "training_metrics": {
+                "mae": 5.2,
+                "rmse": 7.8,
+                "mape": 12.5,
+                "r2_score": 0.85
+            }
+        }
+        
+        mock_manager.train_bakery_model.return_value = AsyncMock(return_value=mock_model_info)
+        mock_manager.generate_forecast.return_value = AsyncMock()
+        
+        mock_manager_class.return_value = mock_manager
+        yield mock_manager
+
+@pytest.fixture
+def mock_data_processor():
+    """Mock data processor for testing"""
+    import pandas as pd
+    
+    with patch('app.ml.data_processor.BakeryDataProcessor') as mock_processor_class:
+        mock_processor = Mock(spec=BakeryDataProcessor)
+        
+        # Mock processed data
+        mock_processed_data = pd.DataFrame({
+            'ds': pd.date_range('2024-01-01', periods=30, freq='D'),
+            'y': [45 + i for i in range(30)],
+            'temperature': [15.0 + (i % 10) for i in range(30)],
+            'humidity': [60.0 + (i % 20) for i in range(30)]
+        })
+        
+        mock_processor.prepare_training_data.return_value = AsyncMock(return_value=mock_processed_data)
+        mock_processor.prepare_prediction_features.return_value = AsyncMock(return_value=mock_processed_data)
+        
+        mock_processor_class.return_value = mock_processor
+        yield mock_processor
+
+@pytest.fixture
+def mock_auth():
+    """Mock authentication for tests"""
+    with patch('shared.auth.decorators.require_auth') as mock_auth:
+        mock_auth.return_value = lambda func: func  # Pass through without auth
+        yield mock_auth
+
+# Helper functions for tests
+def assert_training_job_structure(job_data: dict):
+    """Assert that training job data has correct structure"""
+    required_fields = ["job_id", "status", "tenant_id", "created_at"]
+    for field in required_fields:
+        assert field in job_data, f"Missing required field: {field}"
+
+def assert_model_structure(model_data: dict):
+    """Assert that model data has correct structure"""
+    required_fields = ["model_id", "model_type", "training_samples", "features"]
+    for field in required_fields:
+        assert field in model_data, f"Missing required field: {field}"

services/training/tests/test_api.py

@@ -0,0 +1,686 @@
+# services/training/tests/test_api.py
+"""
+Tests for training service API endpoints
+"""
+
+import pytest
+from unittest.mock import AsyncMock, patch
+from fastapi import status
+from httpx import AsyncClient
+
+from app.schemas.training import TrainingJobRequest
+
+
+class TestTrainingAPI:
+    """Test training API endpoints"""
+    
+    @pytest.mark.asyncio
+    async def test_health_check(self, test_client: AsyncClient):
+        """Test health check endpoint"""
+        response = await test_client.get("/health")
+        
+        assert response.status_code == status.HTTP_200_OK
+        data = response.json()
+        assert data["service"] == "training-service"
+        assert data["version"] == "1.0.0"
+        assert "status" in data
+    
+    @pytest.mark.asyncio
+    async def test_readiness_check_ready(self, test_client: AsyncClient):
+        """Test readiness check when service is ready"""
+        # Mock app state as ready
+        with patch('app.main.app.state.ready', True):
+            response = await test_client.get("/health/ready")
+            
+            assert response.status_code == status.HTTP_200_OK
+            data = response.json()
+            assert data["status"] == "ready"
+    
+    @pytest.mark.asyncio
+    async def test_readiness_check_not_ready(self, test_client: AsyncClient):
+        """Test readiness check when service is not ready"""
+        with patch('app.main.app.state.ready', False):
+            response = await test_client.get("/health/ready")
+            
+            assert response.status_code == status.HTTP_503_SERVICE_UNAVAILABLE
+            data = response.json()
+            assert data["status"] == "not_ready"
+    
+    @pytest.mark.asyncio
+    async def test_liveness_check_healthy(self, test_client: AsyncClient):
+        """Test liveness check when service is healthy"""
+        with patch('app.core.database.get_db_health', return_value=AsyncMock(return_value=True)):
+            response = await test_client.get("/health/live")
+            
+            assert response.status_code == status.HTTP_200_OK
+            data = response.json()
+            assert data["status"] == "alive"
+    
+    @pytest.mark.asyncio
+    async def test_liveness_check_unhealthy(self, test_client: AsyncClient):
+        """Test liveness check when database is unhealthy"""
+        with patch('app.core.database.get_db_health', return_value=AsyncMock(return_value=False)):
+            response = await test_client.get("/health/live")
+            
+            assert response.status_code == status.HTTP_503_SERVICE_UNAVAILABLE
+            data = response.json()
+            assert data["status"] == "unhealthy"
+            assert data["reason"] == "database_unavailable"
+    
+    @pytest.mark.asyncio
+    async def test_metrics_endpoint(self, test_client: AsyncClient):
+        """Test metrics endpoint"""
+        response = await test_client.get("/metrics")
+        
+        assert response.status_code == status.HTTP_200_OK
+        data = response.json()
+        
+        expected_metrics = [
+            "training_jobs_active",
+            "training_jobs_completed", 
+            "training_jobs_failed",
+            "models_trained_total",
+            "uptime_seconds"
+        ]
+        
+        for metric in expected_metrics:
+            assert metric in data
+    
+    @pytest.mark.asyncio
+    async def test_root_endpoint(self, test_client: AsyncClient):
+        """Test root endpoint"""
+        response = await test_client.get("/")
+        
+        assert response.status_code == status.HTTP_200_OK
+        data = response.json()
+        assert data["service"] == "training-service"
+        assert data["version"] == "1.0.0"
+        assert "description" in data
+
+
+class TestTrainingJobsAPI:
+    """Test training jobs API endpoints"""
+    
+    @pytest.mark.asyncio
+    async def test_start_training_job_success(
+        self, 
+        test_client: AsyncClient, 
+        mock_messaging,
+        mock_ml_trainer,
+        mock_data_service
+    ):
+        """Test starting a training job successfully"""
+        request_data = {
+            "include_weather": True,
+            "include_traffic": True,
+            "min_data_points": 30,
+            "seasonality_mode": "additive"
+        }
+        
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.post("/training/jobs", json=request_data)
+        
+        assert response.status_code == status.HTTP_200_OK
+        data = response.json()
+        
+        assert "job_id" in data
+        assert data["status"] == "started"
+        assert data["tenant_id"] == "test-tenant"
+        assert "estimated_duration_minutes" in data
+    
+    @pytest.mark.asyncio
+    async def test_start_training_job_validation_error(self, test_client: AsyncClient):
+        """Test starting training job with validation error"""
+        request_data = {
+            "seasonality_mode": "invalid_mode",  # Invalid value
+            "min_data_points": 5  # Too low
+        }
+        
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.post("/training/jobs", json=request_data)
+        
+        assert response.status_code == status.HTTP_422_UNPROCESSABLE_ENTITY
+    
+    @pytest.mark.asyncio
+    async def test_get_training_status_existing_job(
+        self, 
+        test_client: AsyncClient,
+        training_job_in_db
+    ):
+        """Test getting status of existing training job"""
+        job_id = training_job_in_db.job_id
+        
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.get(f"/training/jobs/{job_id}/status")
+        
+        assert response.status_code == status.HTTP_200_OK
+        data = response.json()
+        
+        assert data["job_id"] == job_id
+        assert data["status"] == "pending"
+        assert "progress" in data
+        assert "started_at" in data
+    
+    @pytest.mark.asyncio
+    async def test_get_training_status_nonexistent_job(self, test_client: AsyncClient):
+        """Test getting status of non-existent training job"""
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.get("/training/jobs/nonexistent-job/status")
+        
+        assert response.status_code == status.HTTP_404_NOT_FOUND
+    
+    @pytest.mark.asyncio
+    async def test_list_training_jobs(
+        self, 
+        test_client: AsyncClient,
+        training_job_in_db
+    ):
+        """Test listing training jobs"""
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.get("/training/jobs")
+        
+        assert response.status_code == status.HTTP_200_OK
+        data = response.json()
+        
+        assert isinstance(data, list)
+        assert len(data) >= 1
+        
+        # Check first job structure
+        job = data[0]
+        assert "job_id" in job
+        assert "status" in job
+        assert "started_at" in job
+    
+    @pytest.mark.asyncio
+    async def test_list_training_jobs_with_status_filter(
+        self, 
+        test_client: AsyncClient,
+        training_job_in_db
+    ):
+        """Test listing training jobs with status filter"""
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.get("/training/jobs?status=pending")
+        
+        assert response.status_code == status.HTTP_200_OK
+        data = response.json()
+        
+        assert isinstance(data, list)
+        # All jobs should have status "pending"
+        for job in data:
+            assert job["status"] == "pending"
+    
+    @pytest.mark.asyncio
+    async def test_cancel_training_job_success(
+        self, 
+        test_client: AsyncClient,
+        training_job_in_db,
+        mock_messaging
+    ):
+        """Test cancelling a training job successfully"""
+        job_id = training_job_in_db.job_id
+        
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.post(f"/training/jobs/{job_id}/cancel")
+        
+        assert response.status_code == status.HTTP_200_OK
+        data = response.json()
+        assert "message" in data
+        assert "cancelled" in data["message"].lower()
+    
+    @pytest.mark.asyncio
+    async def test_cancel_nonexistent_job(self, test_client: AsyncClient):
+        """Test cancelling a non-existent training job"""
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.post("/training/jobs/nonexistent-job/cancel")
+        
+        assert response.status_code == status.HTTP_404_NOT_FOUND
+    
+    @pytest.mark.asyncio
+    async def test_get_training_logs(
+        self, 
+        test_client: AsyncClient,
+        training_job_in_db
+    ):
+        """Test getting training logs"""
+        job_id = training_job_in_db.job_id
+        
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.get(f"/training/jobs/{job_id}/logs")
+        
+        assert response.status_code == status.HTTP_200_OK
+        data = response.json()
+        
+        assert "job_id" in data
+        assert "logs" in data
+        assert isinstance(data["logs"], list)
+    
+    @pytest.mark.asyncio
+    async def test_validate_training_data_valid(
+        self, 
+        test_client: AsyncClient,
+        mock_data_service
+    ):
+        """Test validating valid training data"""
+        request_data = {
+            "include_weather": True,
+            "include_traffic": True,
+            "min_data_points": 30
+        }
+        
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.post("/training/validate", json=request_data)
+        
+        assert response.status_code == status.HTTP_200_OK
+        data = response.json()
+        
+        assert "is_valid" in data
+        assert "issues" in data
+        assert "recommendations" in data
+        assert "estimated_training_time" in data
+
+
+class TestSingleProductTrainingAPI:
+    """Test single product training API endpoints"""
+    
+    @pytest.mark.asyncio
+    async def test_train_single_product_success(
+        self, 
+        test_client: AsyncClient,
+        mock_messaging,
+        mock_ml_trainer,
+        mock_data_service
+    ):
+        """Test training a single product successfully"""
+        product_name = "Pan Integral"
+        request_data = {
+            "include_weather": True,
+            "include_traffic": True,
+            "seasonality_mode": "additive"
+        }
+        
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.post(
+                f"/training/products/{product_name}", 
+                json=request_data
+            )
+        
+        assert response.status_code == status.HTTP_200_OK
+        data = response.json()
+        
+        assert "job_id" in data
+        assert data["status"] == "started"
+        assert data["tenant_id"] == "test-tenant"
+        assert f"training started for {product_name}" in data["message"].lower()
+    
+    @pytest.mark.asyncio
+    async def test_train_single_product_validation_error(self, test_client: AsyncClient):
+        """Test single product training with validation error"""
+        product_name = "Pan Integral"
+        request_data = {
+            "seasonality_mode": "invalid_mode"  # Invalid value
+        }
+        
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.post(
+                f"/training/products/{product_name}", 
+                json=request_data
+            )
+        
+        assert response.status_code == status.HTTP_422_UNPROCESSABLE_ENTITY
+    
+    @pytest.mark.asyncio
+    async def test_train_single_product_special_characters(
+        self, 
+        test_client: AsyncClient,
+        mock_messaging,
+        mock_ml_trainer,
+        mock_data_service
+    ):
+        """Test training product with special characters in name"""
+        product_name = "Pan Francés"  # With accent
+        request_data = {
+            "include_weather": True,
+            "seasonality_mode": "additive"
+        }
+        
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.post(
+                f"/training/products/{product_name}", 
+                json=request_data
+            )
+        
+        assert response.status_code == status.HTTP_200_OK
+        data = response.json()
+        assert "job_id" in data
+
+
+class TestModelsAPI:
+    """Test models API endpoints"""
+    
+    @pytest.mark.asyncio
+    async def test_list_models(
+        self, 
+        test_client: AsyncClient,
+        trained_model_in_db
+    ):
+        """Test listing trained models"""
+        with patch('app.api.models.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.get("/models")
+        
+        # This endpoint might not exist yet, so we expect either 200 or 404
+        assert response.status_code in [status.HTTP_200_OK, status.HTTP_404_NOT_FOUND]
+        
+        if response.status_code == status.HTTP_200_OK:
+            data = response.json()
+            assert isinstance(data, list)
+    
+    @pytest.mark.asyncio
+    async def test_get_model_details(
+        self, 
+        test_client: AsyncClient,
+        trained_model_in_db
+    ):
+        """Test getting model details"""
+        model_id = trained_model_in_db.model_id
+        
+        with patch('app.api.models.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.get(f"/models/{model_id}")
+        
+        # This endpoint might not exist yet
+        assert response.status_code in [
+            status.HTTP_200_OK, 
+            status.HTTP_404_NOT_FOUND,
+            status.HTTP_501_NOT_IMPLEMENTED
+        ]
+
+
+class TestErrorHandling:
+    """Test error handling in API endpoints"""
+    
+    @pytest.mark.asyncio
+    async def test_database_error_handling(self, test_client: AsyncClient):
+        """Test handling of database errors"""
+        with patch('app.services.training_service.TrainingService.create_training_job') as mock_create:
+            mock_create.side_effect = Exception("Database connection failed")
+            
+            request_data = {
+                "include_weather": True,
+                "include_traffic": True,
+                "min_data_points": 30
+            }
+            
+            with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+                response = await test_client.post("/training/jobs", json=request_data)
+            
+            assert response.status_code == status.HTTP_500_INTERNAL_SERVER_ERROR
+    
+    @pytest.mark.asyncio
+    async def test_missing_tenant_id(self, test_client: AsyncClient):
+        """Test handling when tenant ID is missing"""
+        request_data = {
+            "include_weather": True,
+            "include_traffic": True,
+            "min_data_points": 30
+        }
+        
+        # Don't mock get_current_tenant_id to simulate missing auth
+        response = await test_client.post("/training/jobs", json=request_data)
+        
+        # Should fail due to missing authentication
+        assert response.status_code in [status.HTTP_401_UNAUTHORIZED, status.HTTP_403_FORBIDDEN]
+    
+    @pytest.mark.asyncio
+    async def test_invalid_job_id_format(self, test_client: AsyncClient):
+        """Test handling of invalid job ID format"""
+        invalid_job_id = "invalid-job-id-with-special-chars@#$"
+        
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.get(f"/training/jobs/{invalid_job_id}/status")
+        
+        # Should handle gracefully
+        assert response.status_code in [status.HTTP_404_NOT_FOUND, status.HTTP_400_BAD_REQUEST]
+    
+    @pytest.mark.asyncio
+    async def test_messaging_failure_handling(
+        self, 
+        test_client: AsyncClient,
+        mock_data_service
+    ):
+        """Test handling when messaging fails"""
+        request_data = {
+            "include_weather": True,
+            "include_traffic": True,
+            "min_data_points": 30
+        }
+        
+        with patch('app.services.messaging.publish_job_started', side_effect=Exception("Messaging failed")), \
+             patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            
+            response = await test_client.post("/training/jobs", json=request_data)
+            
+            # Should still succeed even if messaging fails
+            assert response.status_code == status.HTTP_200_OK
+            data = response.json()
+            assert "job_id" in data
+    
+    @pytest.mark.asyncio
+    async def test_invalid_json_payload(self, test_client: AsyncClient):
+        """Test handling of invalid JSON payload"""
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.post(
+                "/training/jobs", 
+                content="invalid json {{{",
+                headers={"Content-Type": "application/json"}
+            )
+        
+        assert response.status_code == status.HTTP_422_UNPROCESSABLE_ENTITY
+    
+    @pytest.mark.asyncio
+    async def test_unsupported_content_type(self, test_client: AsyncClient):
+        """Test handling of unsupported content type"""
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.post(
+                "/training/jobs",
+                content="some text data",
+                headers={"Content-Type": "text/plain"}
+            )
+        
+        assert response.status_code in [
+            status.HTTP_415_UNSUPPORTED_MEDIA_TYPE,
+            status.HTTP_422_UNPROCESSABLE_ENTITY
+        ]
+
+
+class TestAuthenticationIntegration:
+    """Test authentication integration"""
+    
+    @pytest.mark.asyncio
+    async def test_endpoints_require_auth(self, test_client: AsyncClient):
+        """Test that endpoints require authentication in production"""
+        # This test would be more meaningful in a production environment
+        # where authentication is actually enforced
+        
+        endpoints_to_test = [
+            ("POST", "/training/jobs"),
+            ("GET", "/training/jobs"),
+            ("POST", "/training/products/Pan Integral"),
+            ("POST", "/training/validate")
+        ]
+        
+        for method, endpoint in endpoints_to_test:
+            if method == "POST":
+                response = await test_client.post(endpoint, json={})
+            else:
+                response = await test_client.get(endpoint)
+            
+            # In test environment with mocked auth, should work
+            # In production, would require valid authentication
+            assert response.status_code != status.HTTP_500_INTERNAL_SERVER_ERROR
+    
+    @pytest.mark.asyncio
+    async def test_tenant_isolation_in_api(
+        self, 
+        test_client: AsyncClient,
+        training_job_in_db
+    ):
+        """Test tenant isolation at API level"""
+        job_id = training_job_in_db.job_id
+        
+        # Try to access job with different tenant
+        with patch('app.api.training.get_current_tenant_id', return_value="different-tenant"):
+            response = await test_client.get(f"/training/jobs/{job_id}/status")
+        
+        # Should not find job for different tenant
+        assert response.status_code == status.HTTP_404_NOT_FOUND
+
+
+class TestAPIValidation:
+    """Test API validation and input handling"""
+    
+    @pytest.mark.asyncio
+    async def test_training_request_validation(self, test_client: AsyncClient):
+        """Test comprehensive training request validation"""
+        
+        # Test valid request
+        valid_request = {
+            "include_weather": True,
+            "include_traffic": False,
+            "min_data_points": 30,
+            "seasonality_mode": "additive",
+            "daily_seasonality": True,
+            "weekly_seasonality": True,
+            "yearly_seasonality": True
+        }
+        
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.post("/training/jobs", json=valid_request)
+        
+        assert response.status_code == status.HTTP_200_OK
+        
+        # Test invalid seasonality mode
+        invalid_request = valid_request.copy()
+        invalid_request["seasonality_mode"] = "invalid_mode"
+        
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.post("/training/jobs", json=invalid_request)
+        
+        assert response.status_code == status.HTTP_422_UNPROCESSABLE_ENTITY
+        
+        # Test invalid min_data_points
+        invalid_request = valid_request.copy()
+        invalid_request["min_data_points"] = 5  # Too low
+        
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.post("/training/jobs", json=invalid_request)
+        
+        assert response.status_code == status.HTTP_422_UNPROCESSABLE_ENTITY
+    
+    @pytest.mark.asyncio
+    async def test_single_product_request_validation(self, test_client: AsyncClient):
+        """Test single product training request validation"""
+        
+        product_name = "Pan Integral"
+        
+        # Test valid request
+        valid_request = {
+            "include_weather": True,
+            "include_traffic": True,
+            "seasonality_mode": "multiplicative"
+        }
+        
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.post(
+                f"/training/products/{product_name}",
+                json=valid_request
+            )
+        
+        assert response.status_code == status.HTTP_200_OK
+        
+        # Test empty product name
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.post(
+                "/training/products/",
+                json=valid_request
+            )
+        
+        assert response.status_code == status.HTTP_404_NOT_FOUND
+    
+    @pytest.mark.asyncio
+    async def test_query_parameter_validation(self, test_client: AsyncClient):
+        """Test query parameter validation"""
+        
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            # Test valid limit parameter
+            response = await test_client.get("/training/jobs?limit=5")
+            assert response.status_code == status.HTTP_200_OK
+            
+            # Test invalid limit parameter
+            response = await test_client.get("/training/jobs?limit=invalid")
+            assert response.status_code in [
+                status.HTTP_422_UNPROCESSABLE_ENTITY, 
+                status.HTTP_400_BAD_REQUEST
+            ]
+            
+            # Test negative limit
+            response = await test_client.get("/training/jobs?limit=-1")
+            assert response.status_code in [
+                status.HTTP_422_UNPROCESSABLE_ENTITY,
+                status.HTTP_400_BAD_REQUEST
+            ]
+
+
+class TestAPIPerformance:
+    """Test API performance characteristics"""
+    
+    @pytest.mark.asyncio
+    async def test_concurrent_requests(self, test_client: AsyncClient):
+        """Test handling of concurrent requests"""
+        import asyncio
+        
+        # Create multiple concurrent requests
+        tasks = []
+        for i in range(10):
+            with patch('app.api.training.get_current_tenant_id', return_value=f"tenant-{i}"):
+                task = test_client.get("/health")
+                tasks.append(task)
+        
+        responses = await asyncio.gather(*tasks)
+        
+        # All requests should succeed
+        for response in responses:
+            assert response.status_code == status.HTTP_200_OK
+    
+    @pytest.mark.asyncio
+    async def test_large_payload_handling(self, test_client: AsyncClient):
+        """Test handling of large request payloads"""
+        
+        # Create large request payload
+        large_request = {
+            "include_weather": True,
+            "include_traffic": True,
+            "min_data_points": 30,
+            "large_config": {f"key_{i}": f"value_{i}" for i in range(1000)}
+        }
+        
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.post("/training/jobs", json=large_request)
+        
+        # Should handle large payload gracefully
+        assert response.status_code in [
+            status.HTTP_200_OK,
+            status.HTTP_413_REQUEST_ENTITY_TOO_LARGE
+        ]
+    
+    @pytest.mark.asyncio
+    async def test_rapid_successive_requests(self, test_client: AsyncClient):
+        """Test rapid successive requests to same endpoint"""
+        
+        # Make rapid requests
+        responses = []
+        for _ in range(20):
+            response = await test_client.get("/health")
+            responses.append(response)
+        
+        # All should succeed
+        for response in responses:
+            assert response.status_code == status.HTTP_200_OK

services/training/tests/test_integration.py

@@ -0,0 +1,848 @@
+# services/training/tests/test_integration.py
+"""
+Integration tests for training service
+Tests complete workflows and service interactions
+"""
+
+import pytest
+import asyncio
+from unittest.mock import AsyncMock, Mock, patch
+from httpx import AsyncClient
+from datetime import datetime, timedelta
+
+from app.main import app
+from app.schemas.training import TrainingJobRequest
+
+
+class TestTrainingWorkflowIntegration:
+    """Test complete training workflows end-to-end"""
+    
+    @pytest.mark.asyncio
+    async def test_complete_training_workflow(
+        self, 
+        test_client: AsyncClient,
+        test_db_session,
+        mock_messaging,
+        mock_data_service,
+        mock_ml_trainer
+    ):
+        """Test complete training workflow from API to completion"""
+        
+        # Step 1: Start training job
+        request_data = {
+            "include_weather": True,
+            "include_traffic": True,
+            "min_data_points": 30,
+            "seasonality_mode": "additive"
+        }
+        
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.post("/training/jobs", json=request_data)
+        
+        assert response.status_code == 200
+        job_data = response.json()
+        job_id = job_data["job_id"]
+        
+        # Step 2: Check initial status
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.get(f"/training/jobs/{job_id}/status")
+        
+        assert response.status_code == 200
+        status_data = response.json()
+        assert status_data["status"] in ["pending", "started"]
+        
+        # Step 3: Simulate background task completion
+        # In real scenario, this would be handled by background tasks
+        await asyncio.sleep(0.1)  # Allow background task to start
+        
+        # Step 4: Check completion status
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.get(f"/training/jobs/{job_id}/status")
+        
+        # The job should exist in database even if not completed yet
+        assert response.status_code == 200
+    
+    @pytest.mark.asyncio
+    async def test_single_product_training_workflow(
+        self,
+        test_client: AsyncClient,
+        mock_messaging,
+        mock_data_service,
+        mock_ml_trainer
+    ):
+        """Test single product training complete workflow"""
+        
+        product_name = "Pan Integral"
+        request_data = {
+            "include_weather": True,
+            "include_traffic": False,
+            "seasonality_mode": "additive"
+        }
+        
+        # Start single product training
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.post(
+                f"/training/products/{product_name}",
+                json=request_data
+            )
+        
+        assert response.status_code == 200
+        job_data = response.json()
+        job_id = job_data["job_id"]
+        assert f"training started for {product_name}" in job_data["message"].lower()
+        
+        # Check job status
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.get(f"/training/jobs/{job_id}/status")
+        
+        assert response.status_code == 200
+        status_data = response.json()
+        assert status_data["job_id"] == job_id
+    
+    @pytest.mark.asyncio
+    async def test_training_validation_workflow(
+        self,
+        test_client: AsyncClient,
+        mock_data_service
+    ):
+        """Test training data validation workflow"""
+        
+        request_data = {
+            "include_weather": True,
+            "include_traffic": True,
+            "min_data_points": 30
+        }
+        
+        # Validate training data
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.post("/training/validate", json=request_data)
+        
+        assert response.status_code == 200
+        validation_data = response.json()
+        
+        assert "is_valid" in validation_data
+        assert "issues" in validation_data
+        assert "recommendations" in validation_data
+        assert "estimated_training_time" in validation_data
+        
+        # If validation passes, start actual training
+        if validation_data["is_valid"]:
+            with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+                response = await test_client.post("/training/jobs", json=request_data)
+            
+            assert response.status_code == 200
+    
+    @pytest.mark.asyncio
+    async def test_job_cancellation_workflow(
+        self,
+        test_client: AsyncClient,
+        training_job_in_db,
+        mock_messaging
+    ):
+        """Test job cancellation workflow"""
+        
+        job_id = training_job_in_db.job_id
+        
+        # Check initial status
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.get(f"/training/jobs/{job_id}/status")
+        
+        assert response.status_code == 200
+        initial_status = response.json()
+        assert initial_status["status"] == "pending"
+        
+        # Cancel the job
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.post(f"/training/jobs/{job_id}/cancel")
+        
+        assert response.status_code == 200
+        cancel_response = response.json()
+        assert "cancelled" in cancel_response["message"].lower()
+        
+        # Verify cancellation
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.get(f"/training/jobs/{job_id}/status")
+        
+        assert response.status_code == 200
+        final_status = response.json()
+        assert final_status["status"] == "cancelled"
+
+
+class TestServiceInteractionIntegration:
+    """Test interactions between training service and external services"""
+    
+    @pytest.mark.asyncio
+    async def test_data_service_integration(self, training_service, mock_data_service):
+        """Test integration with data service"""
+        from app.schemas.training import TrainingJobRequest
+        
+        request = TrainingJobRequest(
+            include_weather=True,
+            include_traffic=True,
+            min_data_points=30
+        )
+        
+        # Test sales data fetching
+        sales_data = await training_service._fetch_sales_data("test-tenant", request)
+        assert isinstance(sales_data, list)
+        
+        # Test weather data fetching
+        weather_data = await training_service._fetch_weather_data("test-tenant", request)
+        assert isinstance(weather_data, list)
+        
+        # Test traffic data fetching
+        traffic_data = await training_service._fetch_traffic_data("test-tenant", request)
+        assert isinstance(traffic_data, list)
+    
+    @pytest.mark.asyncio
+    async def test_messaging_integration(self, mock_messaging):
+        """Test integration with messaging system"""
+        from app.services.messaging import (
+            publish_job_started,
+            publish_job_completed,
+            publish_model_trained
+        )
+        
+        # Test various message types
+        result1 = await publish_job_started("job-123", "tenant-123", {})
+        result2 = await publish_job_completed("job-123", "tenant-123", {"status": "success"})
+        result3 = await publish_model_trained("model-123", "tenant-123", "Pan Integral", {"mae": 5.0})
+        
+        assert result1 is True
+        assert result2 is True
+        assert result3 is True
+    
+    @pytest.mark.asyncio
+    async def test_database_integration(self, test_db_session, training_service):
+        """Test database operations integration"""
+        
+        # Create a training job
+        job = await training_service.create_training_job(
+            db=test_db_session,
+            tenant_id="test-tenant",
+            job_id="integration-test-job",
+            config={"test": True}
+        )
+        
+        assert job.job_id == "integration-test-job"
+        
+        # Update job status
+        await training_service._update_job_status(
+            db=test_db_session,
+            job_id=job.job_id,
+            status="running",
+            progress=50,
+            current_step="Processing data"
+        )
+        
+        # Retrieve updated job
+        updated_job = await training_service.get_job_status(
+            db=test_db_session,
+            job_id=job.job_id,
+            tenant_id="test-tenant"
+        )
+        
+        assert updated_job.status == "running"
+        assert updated_job.progress == 50
+
+
+class TestErrorHandlingIntegration:
+    """Test error handling across service boundaries"""
+    
+    @pytest.mark.asyncio
+    async def test_data_service_failure_handling(
+        self,
+        test_client: AsyncClient,
+        mock_messaging
+    ):
+        """Test handling when data service is unavailable"""
+        
+        request_data = {
+            "include_weather": True,
+            "include_traffic": True,
+            "min_data_points": 30
+        }
+        
+        # Mock data service failure
+        with patch('httpx.AsyncClient') as mock_client:
+            mock_client.return_value.__aenter__.return_value.get.side_effect = Exception("Service unavailable")
+            
+            with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+                response = await test_client.post("/training/jobs", json=request_data)
+            
+            # Should still create job but might fail during execution
+            assert response.status_code == 200
+    
+    @pytest.mark.asyncio
+    async def test_messaging_failure_handling(
+        self,
+        test_client: AsyncClient,
+        mock_data_service
+    ):
+        """Test handling when messaging fails"""
+        
+        request_data = {
+            "include_weather": True,
+            "include_traffic": True,
+            "min_data_points": 30
+        }
+        
+        # Mock messaging failure
+        with patch('app.services.messaging.publish_job_started', side_effect=Exception("Messaging failed")):
+            with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+                response = await test_client.post("/training/jobs", json=request_data)
+            
+            # Should still succeed even if messaging fails
+            assert response.status_code == 200
+    
+    @pytest.mark.asyncio
+    async def test_ml_training_failure_handling(
+        self,
+        test_client: AsyncClient,
+        mock_messaging,
+        mock_data_service
+    ):
+        """Test handling when ML training fails"""
+        
+        request_data = {
+            "include_weather": True,
+            "include_traffic": True,
+            "min_data_points": 30
+        }
+        
+        # Mock ML training failure
+        with patch('app.ml.trainer.BakeryMLTrainer.train_tenant_models', side_effect=Exception("ML training failed")):
+            with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+                response = await test_client.post("/training/jobs", json=request_data)
+            
+            # Job should be created successfully
+            assert response.status_code == 200
+            
+            # Background task would handle the failure
+
+
+class TestPerformanceIntegration:
+    """Test performance characteristics of integrated workflows"""
+    
+    @pytest.mark.asyncio
+    async def test_concurrent_training_jobs(
+        self,
+        test_client: AsyncClient,
+        mock_messaging,
+        mock_data_service,
+        mock_ml_trainer
+    ):
+        """Test handling multiple concurrent training jobs"""
+        
+        request_data = {
+            "include_weather": True,
+            "include_traffic": True,
+            "min_data_points": 30
+        }
+        
+        # Start multiple jobs concurrently
+        tasks = []
+        for i in range(5):
+            with patch('app.api.training.get_current_tenant_id', return_value=f"tenant-{i}"):
+                task = test_client.post("/training/jobs", json=request_data)
+                tasks.append(task)
+        
+        responses = await asyncio.gather(*tasks)
+        
+        # All jobs should be created successfully
+        for response in responses:
+            assert response.status_code == 200
+            data = response.json()
+            assert "job_id" in data
+    
+    @pytest.mark.asyncio
+    async def test_large_dataset_handling(
+        self,
+        training_service,
+        test_db_session
+    ):
+        """Test handling of large datasets"""
+        
+        # Simulate large dataset
+        large_config = {
+            "include_weather": True,
+            "include_traffic": True,
+            "min_data_points": 1000,  # Large minimum
+            "products": [f"Product-{i}" for i in range(100)]  # Many products
+        }
+        
+        job = await training_service.create_training_job(
+            db=test_db_session,
+            tenant_id="test-tenant",
+            job_id="large-dataset-job",
+            config=large_config
+        )
+        
+        assert job.config == large_config
+        assert job.job_id == "large-dataset-job"
+    
+    @pytest.mark.asyncio
+    async def test_rapid_status_checks(
+        self,
+        test_client: AsyncClient,
+        training_job_in_db
+    ):
+        """Test rapid successive status checks"""
+        
+        job_id = training_job_in_db.job_id
+        
+        # Make many rapid status requests
+        tasks = []
+        for _ in range(20):
+            with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+                task = test_client.get(f"/training/jobs/{job_id}/status")
+                tasks.append(task)
+        
+        responses = await asyncio.gather(*tasks)
+        
+        # All requests should succeed
+        for response in responses:
+            assert response.status_code == 200
+
+
+class TestSecurityIntegration:
+    """Test security aspects of service integration"""
+    
+    @pytest.mark.asyncio
+    async def test_tenant_isolation(
+        self,
+        test_client: AsyncClient,
+        training_job_in_db,
+        mock_messaging
+    ):
+        """Test that tenants cannot access each other's jobs"""
+        
+        job_id = training_job_in_db.job_id
+        
+        # Try to access job with different tenant ID
+        with patch('app.api.training.get_current_tenant_id', return_value="different-tenant"):
+            response = await test_client.get(f"/training/jobs/{job_id}/status")
+        
+        # Should not find the job (belongs to different tenant)
+        assert response.status_code == 404
+    
+    @pytest.mark.asyncio
+    async def test_input_validation_integration(
+        self,
+        test_client: AsyncClient
+    ):
+        """Test input validation across API boundaries"""
+        
+        # Test invalid seasonality mode
+        invalid_request = {
+            "seasonality_mode": "invalid_mode",
+            "min_data_points": -5  # Invalid negative value
+        }
+        
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.post("/training/jobs", json=invalid_request)
+        
+        assert response.status_code == 422  # Validation error
+    
+    @pytest.mark.asyncio
+    async def test_sql_injection_protection(
+        self,
+        test_client: AsyncClient
+    ):
+        """Test protection against SQL injection attempts"""
+        
+        # Try SQL injection in job ID
+        malicious_job_id = "job'; DROP TABLE model_training_logs; --"
+        
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.get(f"/training/jobs/{malicious_job_id}/status")
+        
+        # Should return 404, not cause database error
+        assert response.status_code == 404
+
+
+class TestRecoveryIntegration:
+    """Test recovery and resilience scenarios"""
+    
+    @pytest.mark.asyncio
+    async def test_service_restart_recovery(
+        self,
+        test_db_session,
+        training_service,
+        training_job_in_db
+    ):
+        """Test service recovery after restart"""
+        
+        # Simulate service restart by creating new service instance
+        new_training_service = training_service.__class__()
+        
+        # Should be able to access existing jobs
+        existing_job = await new_training_service.get_job_status(
+            db=test_db_session,
+            job_id=training_job_in_db.job_id,
+            tenant_id=training_job_in_db.tenant_id
+        )
+        
+        assert existing_job is not None
+        assert existing_job.job_id == training_job_in_db.job_id
+    
+    @pytest.mark.asyncio
+    async def test_partial_failure_recovery(
+        self,
+        training_service,
+        test_db_session
+    ):
+        """Test recovery from partial failures"""
+        
+        # Create job that might fail partway through
+        job = await training_service.create_training_job(
+            db=test_db_session,
+            tenant_id="test-tenant",
+            job_id="partial-failure-job",
+            config={"simulate_failure": True}
+        )
+        
+        # Simulate partial progress
+        await training_service._update_job_status(
+            db=test_db_session,
+            job_id=job.job_id,
+            status="running",
+            progress=50,
+            current_step="Halfway through training"
+        )
+        
+        # Simulate failure
+        await training_service._update_job_status(
+            db=test_db_session,
+            job_id=job.job_id,
+            status="failed",
+            progress=50,
+            current_step="Training failed",
+            error_message="Simulated failure"
+        )
+        
+        # Verify failure was recorded
+        failed_job = await training_service.get_job_status(
+            db=test_db_session,
+            job_id=job.job_id,
+            tenant_id="test-tenant"
+        )
+        
+        assert failed_job.status == "failed"
+        assert failed_job.error_message == "Simulated failure"
+        assert failed_job.progress == 50
+
+
+class TestComplianceIntegration:
+    """Test compliance and audit requirements"""
+    
+    @pytest.mark.asyncio
+    async def test_audit_trail_creation(
+        self,
+        training_service,
+        test_db_session
+    ):
+        """Test that audit trail is properly created"""
+        
+        # Create and update job
+        job = await training_service.create_training_job(
+            db=test_db_session,
+            tenant_id="test-tenant",
+            job_id="audit-test-job",
+            config={"audit_test": True}
+        )
+        
+        # Multiple status updates
+        await training_service._update_job_status(
+            db=test_db_session,
+            job_id=job.job_id,
+            status="running",
+            progress=25,
+            current_step="Started processing"
+        )
+        
+        await training_service._update_job_status(
+            db=test_db_session,
+            job_id=job.job_id,
+            status="running",
+            progress=75,
+            current_step="Almost complete"
+        )
+        
+        await training_service._update_job_status(
+            db=test_db_session,
+            job_id=job.job_id,
+            status="completed",
+            progress=100,
+            current_step="Completed successfully"
+        )
+        
+        # Verify audit trail
+        logs = await training_service.get_training_logs(
+            db=test_db_session,
+            job_id=job.job_id,
+            tenant_id="test-tenant"
+        )
+        
+        assert logs is not None
+        assert len(logs) > 0
+        
+        # Check final status
+        final_job = await training_service.get_job_status(
+            db=test_db_session,
+            job_id=job.job_id,
+            tenant_id="test-tenant"
+        )
+        
+        assert final_job.status == "completed"
+        assert final_job.progress == 100
+    
+    @pytest.mark.asyncio
+    async def test_data_retention_compliance(
+        self,
+        training_service,
+        test_db_session
+    ):
+        """Test data retention and cleanup compliance"""
+        
+        from datetime import datetime, timedelta
+        
+        # Create old job (simulate old data)
+        old_job = await training_service.create_training_job(
+            db=test_db_session,
+            tenant_id="test-tenant",
+            job_id="old-job",
+            config={"created_long_ago": True}
+        )
+        
+        # Manually set old timestamp
+        from sqlalchemy import update
+        from app.models.training import ModelTrainingLog
+        
+        old_timestamp = datetime.now() - timedelta(days=400)
+        await test_db_session.execute(
+            update(ModelTrainingLog)
+            .where(ModelTrainingLog.job_id == old_job.job_id)
+            .values(start_time=old_timestamp, created_at=old_timestamp)
+        )
+        await test_db_session.commit()
+        
+        # Verify old job exists
+        retrieved_job = await training_service.get_job_status(
+            db=test_db_session,
+            job_id=old_job.job_id,
+            tenant_id="test-tenant"
+        )
+        
+        assert retrieved_job is not None
+        # In a real implementation, there would be cleanup procedures
+    
+    @pytest.mark.asyncio
+    async def test_gdpr_compliance_features(
+        self,
+        training_service,
+        test_db_session
+    ):
+        """Test GDPR compliance features"""
+        
+        # Create job with tenant data
+        job = await training_service.create_training_job(
+            db=test_db_session,
+            tenant_id="gdpr-test-tenant",
+            job_id="gdpr-test-job",
+            config={"gdpr_test": True}
+        )
+        
+        # Verify job is associated with tenant
+        assert job.tenant_id == "gdpr-test-tenant"
+        
+        # Test data access (right to access)
+        tenant_jobs = await training_service.list_training_jobs(
+            db=test_db_session,
+            tenant_id="gdpr-test-tenant"
+        )
+        
+        assert len(tenant_jobs) >= 1
+        assert any(job.job_id == "gdpr-test-job" for job in tenant_jobs)
+
+
+@pytest.mark.slow
+class TestLongRunningIntegration:
+    """Test long-running integration scenarios (marked as slow)"""
+    
+    @pytest.mark.asyncio
+    async def test_extended_training_simulation(
+        self,
+        training_service,
+        test_db_session,
+        mock_messaging
+    ):
+        """Test extended training process simulation"""
+        
+        job = await training_service.create_training_job(
+            db=test_db_session,
+            tenant_id="test-tenant",
+            job_id="long-running-job",
+            config={"extended_test": True}
+        )
+        
+        # Simulate progress over time
+        progress_steps = [
+            (10, "Initializing"),
+            (25, "Loading data"),
+            (50, "Training models"),
+            (75, "Validating results"),
+            (90, "Storing models"),
+            (100, "Completed")
+        ]
+        
+        for progress, step in progress_steps:
+            await training_service._update_job_status(
+                db=test_db_session,
+                job_id=job.job_id,
+                status="running" if progress < 100 else "completed",
+                progress=progress,
+                current_step=step
+            )
+            
+            # Small delay to simulate real progression
+            await asyncio.sleep(0.01)
+        
+        # Verify final state
+        final_job = await training_service.get_job_status(
+            db=test_db_session,
+            job_id=job.job_id,
+            tenant_id="test-tenant"
+        )
+        
+        assert final_job.status == "completed"
+        assert final_job.progress == 100
+        assert final_job.current_step == "Completed"
+    
+    @pytest.mark.asyncio
+    async def test_memory_usage_stability(
+        self,
+        training_service,
+        test_db_session
+    ):
+        """Test memory usage stability over many operations"""
+        
+        # Create many jobs to test memory stability
+        for i in range(50):
+            job = await training_service.create_training_job(
+                db=test_db_session,
+                tenant_id=f"tenant-{i % 5}",  # 5 different tenants
+                job_id=f"memory-test-job-{i}",
+                config={"iteration": i}
+            )
+            
+            # Update status
+            await training_service._update_job_status(
+                db=test_db_session,
+                job_id=job.job_id,
+                status="completed",
+                progress=100,
+                current_step="Completed"
+            )
+        
+        # List jobs for each tenant
+        for tenant_i in range(5):
+            tenant_id = f"tenant-{tenant_i}"
+            jobs = await training_service.list_training_jobs(
+                db=test_db_session,
+                tenant_id=tenant_id,
+                limit=20
+            )
+            
+            # Should have 10 jobs per tenant (50 total / 5 tenants)
+            assert len(jobs) == 10
+
+
+class TestBackwardCompatibility:
+    """Test backward compatibility with existing systems"""
+    
+    @pytest.mark.asyncio
+    async def test_legacy_config_handling(
+        self,
+        training_service,
+        test_db_session
+    ):
+        """Test handling of legacy configuration formats"""
+        
+        # Test with old-style configuration
+        legacy_config = {
+            "weather_enabled": True,  # Old key
+            "traffic_enabled": True,   # Old key
+            "minimum_samples": 30,     # Old key
+            "prophet_config": {        # Old nested structure
+                "seasonality": "additive"
+            }
+        }
+        
+        job = await training_service.create_training_job(
+            db=test_db_session,
+            tenant_id="test-tenant",
+            job_id="legacy-config-job",
+            config=legacy_config
+        )
+        
+        assert job.config == legacy_config
+        assert job.job_id == "legacy-config-job"
+    
+    @pytest.mark.asyncio
+    async def test_api_version_compatibility(
+        self,
+        test_client: AsyncClient
+    ):
+        """Test API version compatibility"""
+        
+        # Test with minimal request (old API style)
+        minimal_request = {
+            "include_weather": True
+        }
+        
+        with patch('app.api.training.get_current_tenant_id', return_value="test-tenant"):
+            response = await test_client.post("/training/jobs", json=minimal_request)
+        
+        # Should work with defaults for missing fields
+        assert response.status_code == 200
+        data = response.json()
+        assert "job_id" in data
+
+
+# Utility functions for integration tests
+async def wait_for_condition(condition_func, timeout=5.0, interval=0.1):
+    """Wait for a condition to become true"""
+    import time
+    start_time = time.time()
+    
+    while time.time() - start_time < timeout:
+        if await condition_func():
+            return True
+        await asyncio.sleep(interval)
+    
+    return False
+
+
+def assert_job_progression(job_updates):
+    """Assert that job updates show proper progression"""
+    assert len(job_updates) > 0
+    
+    # Check progress is non-decreasing
+    for i in range(1, len(job_updates)):
+        assert job_updates[i]["progress"] >= job_updates[i-1]["progress"]
+    
+    # Check final status
+    final_update = job_updates[-1]
+    assert final_update["status"] in ["completed", "failed", "cancelled"]
+
+
+def assert_valid_job_structure(job_data):
+    """Assert job data has valid structure"""
+    required_fields = ["job_id", "status", "tenant_id"]
+    for field in required_fields:
+        assert field in job_data
+    
+    assert isinstance(job_data["progress"], int)
+    assert 0 <= job_data["progress"] <= 100
+    assert job_data["status"] in ["pending", "running", "completed", "failed", "cancelled"]

services/training/tests/test_messaging.py

@@ -0,0 +1,467 @@
+# services/training/tests/test_messaging.py
+"""
+Tests for training service messaging functionality
+"""
+
+import pytest
+from unittest.mock import AsyncMock, Mock, patch
+import json
+
+from app.services import messaging
+
+
+class TestTrainingMessaging:
+    """Test training service messaging functions"""
+    
+    @pytest.fixture
+    def mock_publisher(self):
+        """Mock the RabbitMQ publisher"""
+        with patch('app.services.messaging.training_publisher') as mock_pub:
+            mock_pub.publish_event = AsyncMock(return_value=True)
+            mock_pub.connect = AsyncMock(return_value=True)
+            mock_pub.disconnect = AsyncMock(return_value=None)
+            yield mock_pub
+    
+    @pytest.mark.asyncio
+    async def test_setup_messaging_success(self, mock_publisher):
+        """Test successful messaging setup"""
+        await messaging.setup_messaging()
+        
+        mock_publisher.connect.assert_called_once()
+    
+    @pytest.mark.asyncio
+    async def test_setup_messaging_failure(self, mock_publisher):
+        """Test messaging setup failure"""
+        mock_publisher.connect.return_value = False
+        
+        await messaging.setup_messaging()
+        
+        mock_publisher.connect.assert_called_once()
+    
+    @pytest.mark.asyncio
+    async def test_cleanup_messaging(self, mock_publisher):
+        """Test messaging cleanup"""
+        await messaging.cleanup_messaging()
+        
+        mock_publisher.disconnect.assert_called_once()
+    
+    @pytest.mark.asyncio
+    async def test_publish_job_started(self, mock_publisher):
+        """Test publishing job started event"""
+        job_id = "test-job-123"
+        tenant_id = "test-tenant"
+        config = {"include_weather": True}
+        
+        result = await messaging.publish_job_started(job_id, tenant_id, config)
+        
+        assert result is True
+        mock_publisher.publish_event.assert_called_once()
+        
+        # Check call arguments
+        call_args = mock_publisher.publish_event.call_args
+        assert call_args[1]["exchange_name"] == "training.events"
+        assert call_args[1]["routing_key"] == "training.started"
+        
+        event_data = call_args[1]["event_data"]
+        assert event_data["service_name"] == "training-service"
+        assert event_data["data"]["job_id"] == job_id
+        assert event_data["data"]["tenant_id"] == tenant_id
+        assert event_data["data"]["config"] == config
+    
+    @pytest.mark.asyncio
+    async def test_publish_job_progress(self, mock_publisher):
+        """Test publishing job progress event"""
+        job_id = "test-job-123"
+        tenant_id = "test-tenant"
+        progress = 50
+        step = "Training models"
+        
+        result = await messaging.publish_job_progress(job_id, tenant_id, progress, step)
+        
+        assert result is True
+        mock_publisher.publish_event.assert_called_once()
+        
+        call_args = mock_publisher.publish_event.call_args
+        assert call_args[1]["routing_key"] == "training.progress"
+        
+        event_data = call_args[1]["event_data"]
+        assert event_data["data"]["progress"] == progress
+        assert event_data["data"]["current_step"] == step
+    
+    @pytest.mark.asyncio
+    async def test_publish_job_completed(self, mock_publisher):
+        """Test publishing job completed event"""
+        job_id = "test-job-123"
+        tenant_id = "test-tenant"
+        results = {
+            "products_trained": 3,
+            "summary": {"success_rate": 100.0}
+        }
+        
+        result = await messaging.publish_job_completed(job_id, tenant_id, results)
+        
+        assert result is True
+        mock_publisher.publish_event.assert_called_once()
+        
+        call_args = mock_publisher.publish_event.call_args
+        assert call_args[1]["routing_key"] == "training.completed"
+        
+        event_data = call_args[1]["event_data"]
+        assert event_data["data"]["results"] == results
+        assert event_data["data"]["models_trained"] == 3
+        assert event_data["data"]["success_rate"] == 100.0
+    
+    @pytest.mark.asyncio
+    async def test_publish_job_failed(self, mock_publisher):
+        """Test publishing job failed event"""
+        job_id = "test-job-123"
+        tenant_id = "test-tenant"
+        error = "Data service unavailable"
+        
+        result = await messaging.publish_job_failed(job_id, tenant_id, error)
+        
+        assert result is True
+        mock_publisher.publish_event.assert_called_once()
+        
+        call_args = mock_publisher.publish_event.call_args
+        assert call_args[1]["routing_key"] == "training.failed"
+        
+        event_data = call_args[1]["event_data"]
+        assert event_data["data"]["error"] == error
+    
+    @pytest.mark.asyncio
+    async def test_publish_job_cancelled(self, mock_publisher):
+        """Test publishing job cancelled event"""
+        job_id = "test-job-123"
+        tenant_id = "test-tenant"
+        
+        result = await messaging.publish_job_cancelled(job_id, tenant_id)
+        
+        assert result is True
+        mock_publisher.publish_event.assert_called_once()
+        
+        call_args = mock_publisher.publish_event.call_args
+        assert call_args[1]["routing_key"] == "training.cancelled"
+    
+    @pytest.mark.asyncio
+    async def test_publish_product_training_started(self, mock_publisher):
+        """Test publishing product training started event"""
+        job_id = "test-product-job-123"
+        tenant_id = "test-tenant"
+        product_name = "Pan Integral"
+        
+        result = await messaging.publish_product_training_started(job_id, tenant_id, product_name)
+        
+        assert result is True
+        mock_publisher.publish_event.assert_called_once()
+        
+        call_args = mock_publisher.publish_event.call_args
+        assert call_args[1]["routing_key"] == "training.product.started"
+        
+        event_data = call_args[1]["event_data"]
+        assert event_data["data"]["product_name"] == product_name
+    
+    @pytest.mark.asyncio
+    async def test_publish_product_training_completed(self, mock_publisher):
+        """Test publishing product training completed event"""
+        job_id = "test-product-job-123"
+        tenant_id = "test-tenant"
+        product_name = "Pan Integral"
+        model_id = "test-model-123"
+        
+        result = await messaging.publish_product_training_completed(
+            job_id, tenant_id, product_name, model_id
+        )
+        
+        assert result is True
+        mock_publisher.publish_event.assert_called_once()
+        
+        call_args = mock_publisher.publish_event.call_args
+        assert call_args[1]["routing_key"] == "training.product.completed"
+        
+        event_data = call_args[1]["event_data"]
+        assert event_data["data"]["model_id"] == model_id
+        assert event_data["data"]["product_name"] == product_name
+    
+    @pytest.mark.asyncio
+    async def test_publish_model_trained(self, mock_publisher):
+        """Test publishing model trained event"""
+        model_id = "test-model-123"
+        tenant_id = "test-tenant"
+        product_name = "Pan Integral"
+        metrics = {"mae": 5.2, "rmse": 7.8, "mape": 12.5}
+        
+        result = await messaging.publish_model_trained(model_id, tenant_id, product_name, metrics)
+        
+        assert result is True
+        mock_publisher.publish_event.assert_called_once()
+        
+        call_args = mock_publisher.publish_event.call_args
+        assert call_args[1]["routing_key"] == "training.model.trained"
+        
+        event_data = call_args[1]["event_data"]
+        assert event_data["data"]["training_metrics"] == metrics
+    
+    @pytest.mark.asyncio
+    async def test_publish_model_updated(self, mock_publisher):
+        """Test publishing model updated event"""
+        model_id = "test-model-123"
+        tenant_id = "test-tenant"
+        product_name = "Pan Integral"
+        version = 2
+        
+        result = await messaging.publish_model_updated(model_id, tenant_id, product_name, version)
+        
+        assert result is True
+        mock_publisher.publish_event.assert_called_once()
+        
+        call_args = mock_publisher.publish_event.call_args
+        assert call_args[1]["routing_key"] == "training.model.updated"
+        
+        event_data = call_args[1]["event_data"]
+        assert event_data["data"]["version"] == version
+    
+    @pytest.mark.asyncio
+    async def test_publish_model_validated(self, mock_publisher):
+        """Test publishing model validated event"""
+        model_id = "test-model-123"
+        tenant_id = "test-tenant"
+        product_name = "Pan Integral"
+        validation_results = {"is_valid": True, "accuracy": 0.95}
+        
+        result = await messaging.publish_model_validated(
+            model_id, tenant_id, product_name, validation_results
+        )
+        
+        assert result is True
+        mock_publisher.publish_event.assert_called_once()
+        
+        call_args = mock_publisher.publish_event.call_args
+        assert call_args[1]["routing_key"] == "training.model.validated"
+        
+        event_data = call_args[1]["event_data"]
+        assert event_data["data"]["validation_results"] == validation_results
+    
+    @pytest.mark.asyncio
+    async def test_publish_model_saved(self, mock_publisher):
+        """Test publishing model saved event"""
+        model_id = "test-model-123"
+        tenant_id = "test-tenant"
+        product_name = "Pan Integral"
+        model_path = "/models/test-model-123.pkl"
+        
+        result = await messaging.publish_model_saved(model_id, tenant_id, product_name, model_path)
+        
+        assert result is True
+        mock_publisher.publish_event.assert_called_once()
+        
+        call_args = mock_publisher.publish_event.call_args
+        assert call_args[1]["routing_key"] == "training.model.saved"
+        
+        event_data = call_args[1]["event_data"]
+        assert event_data["data"]["model_path"] == model_path
+
+
+class TestMessagingErrorHandling:
+    """Test error handling in messaging"""
+    
+    @pytest.fixture
+    def failing_publisher(self):
+        """Mock publisher that fails"""
+        with patch('app.services.messaging.training_publisher') as mock_pub:
+            mock_pub.publish_event = AsyncMock(return_value=False)
+            mock_pub.connect = AsyncMock(return_value=False)
+            yield mock_pub
+    
+    @pytest.mark.asyncio
+    async def test_publish_event_failure(self, failing_publisher):
+        """Test handling of publish event failure"""
+        result = await messaging.publish_job_started("job-123", "tenant-123", {})
+        
+        assert result is False
+        failing_publisher.publish_event.assert_called_once()
+    
+    @pytest.mark.asyncio
+    async def test_setup_messaging_connection_failure(self, failing_publisher):
+        """Test setup with connection failure"""
+        await messaging.setup_messaging()
+        
+        failing_publisher.connect.assert_called_once()
+    
+    @pytest.mark.asyncio
+    async def test_publish_with_exception(self):
+        """Test publishing with exception"""
+        with patch('app.services.messaging.training_publisher') as mock_pub:
+            mock_pub.publish_event.side_effect = Exception("Connection lost")
+            
+            result = await messaging.publish_job_started("job-123", "tenant-123", {})
+            
+            assert result is False
+
+
+class TestMessagingIntegration:
+    """Test messaging integration with shared components"""
+    
+    @pytest.mark.asyncio
+    async def test_event_structure_consistency(self):
+        """Test that events follow consistent structure"""
+        with patch('app.services.messaging.training_publisher') as mock_pub:
+            mock_pub.publish_event = AsyncMock(return_value=True)
+            
+            # Test different event types
+            await messaging.publish_job_started("job-123", "tenant-123", {})
+            await messaging.publish_job_completed("job-123", "tenant-123", {})
+            await messaging.publish_model_trained("model-123", "tenant-123", "Pan", {})
+            
+            # Verify all calls have consistent structure
+            assert mock_pub.publish_event.call_count == 3
+            
+            for call in mock_pub.publish_event.call_args_list:
+                event_data = call[1]["event_data"]
+                
+                # All events should have these fields
+                assert "service_name" in event_data
+                assert "event_type" in event_data
+                assert "data" in event_data
+                assert event_data["service_name"] == "training-service"
+    
+    @pytest.mark.asyncio
+    async def test_shared_event_classes_usage(self):
+        """Test that shared event classes are used properly"""
+        with patch('shared.messaging.events.TrainingStartedEvent') as mock_event_class:
+            mock_event = Mock()
+            mock_event.to_dict.return_value = {
+                "service_name": "training-service",
+                "event_type": "training.started",
+                "data": {"job_id": "test-job"}
+            }
+            mock_event_class.return_value = mock_event
+            
+            with patch('app.services.messaging.training_publisher') as mock_pub:
+                mock_pub.publish_event = AsyncMock(return_value=True)
+                
+                await messaging.publish_job_started("test-job", "test-tenant", {})
+                
+                # Verify shared event class was used
+                mock_event_class.assert_called_once()
+                mock_event.to_dict.assert_called_once()
+    
+    @pytest.mark.asyncio
+    async def test_routing_key_consistency(self):
+        """Test that routing keys follow consistent patterns"""
+        with patch('app.services.messaging.training_publisher') as mock_pub:
+            mock_pub.publish_event = AsyncMock(return_value=True)
+            
+            # Test various event types
+            events_and_keys = [
+                (messaging.publish_job_started, "training.started"),
+                (messaging.publish_job_progress, "training.progress"),
+                (messaging.publish_job_completed, "training.completed"),
+                (messaging.publish_job_failed, "training.failed"),
+                (messaging.publish_job_cancelled, "training.cancelled"),
+                (messaging.publish_product_training_started, "training.product.started"),
+                (messaging.publish_product_training_completed, "training.product.completed"),
+                (messaging.publish_model_trained, "training.model.trained"),
+                (messaging.publish_model_updated, "training.model.updated"),
+                (messaging.publish_model_validated, "training.model.validated"),
+                (messaging.publish_model_saved, "training.model.saved")
+            ]
+            
+            for event_func, expected_key in events_and_keys:
+                mock_pub.reset_mock()
+                
+                # Call event function with appropriate parameters
+                if "progress" in expected_key:
+                    await event_func("job-123", "tenant-123", 50, "step")
+                elif "model" in expected_key and "trained" in expected_key:
+                    await event_func("model-123", "tenant-123", "product", {})
+                elif "model" in expected_key and "updated" in expected_key:
+                    await event_func("model-123", "tenant-123", "product", 1)
+                elif "model" in expected_key and "validated" in expected_key:
+                    await event_func("model-123", "tenant-123", "product", {})
+                elif "model" in expected_key and "saved" in expected_key:
+                    await event_func("model-123", "tenant-123", "product", "/path")
+                elif "product" in expected_key and "completed" in expected_key:
+                    await event_func("job-123", "tenant-123", "product", "model-123")
+                elif "product" in expected_key:
+                    await event_func("job-123", "tenant-123", "product")
+                elif "failed" in expected_key:
+                    await event_func("job-123", "tenant-123", "error")
+                elif "cancelled" in expected_key:
+                    await event_func("job-123", "tenant-123")
+                else:
+                    await event_func("job-123", "tenant-123", {})
+                
+                # Verify routing key
+                call_args = mock_pub.publish_event.call_args
+                assert call_args[1]["routing_key"] == expected_key
+    
+    @pytest.mark.asyncio
+    async def test_exchange_consistency(self):
+        """Test that all events use the same exchange"""
+        with patch('app.services.messaging.training_publisher') as mock_pub:
+            mock_pub.publish_event = AsyncMock(return_value=True)
+            
+            # Test multiple events
+            await messaging.publish_job_started("job-123", "tenant-123", {})
+            await messaging.publish_model_trained("model-123", "tenant-123", "product", {})
+            await messaging.publish_product_training_started("job-123", "tenant-123", "product")
+            
+            # Verify all use same exchange
+            for call in mock_pub.publish_event.call_args_list:
+                assert call[1]["exchange_name"] == "training.events"
+
+
+class TestMessagingPerformance:
+    """Test messaging performance and reliability"""
+    
+    @pytest.mark.asyncio
+    async def test_concurrent_publishing(self):
+        """Test concurrent event publishing"""
+        import asyncio
+        
+        with patch('app.services.messaging.training_publisher') as mock_pub:
+            mock_pub.publish_event = AsyncMock(return_value=True)
+            
+            # Create multiple concurrent publishing tasks
+            tasks = []
+            for i in range(10):
+                task = messaging.publish_job_progress(f"job-{i}", "tenant-123", i * 10, f"step-{i}")
+                tasks.append(task)
+            
+            # Execute all tasks concurrently
+            results = await asyncio.gather(*tasks)
+            
+            # Verify all succeeded
+            assert all(results)
+            assert mock_pub.publish_event.call_count == 10
+    
+    @pytest.mark.asyncio
+    async def test_large_event_data(self):
+        """Test publishing events with large data payloads"""
+        with patch('app.services.messaging.training_publisher') as mock_pub:
+            mock_pub.publish_event = AsyncMock(return_value=True)
+            
+            # Create large config data
+            large_config = {
+                "products": [f"Product-{i}" for i in range(1000)],
+                "features": [f"feature-{i}" for i in range(100)],
+                "hyperparameters": {f"param-{i}": i for i in range(50)}
+            }
+            
+            result = await messaging.publish_job_started("job-123", "tenant-123", large_config)
+            
+            assert result is True
+            mock_pub.publish_event.assert_called_once()
+    
+    @pytest.mark.asyncio
+    async def test_rapid_sequential_publishing(self):
+        """Test rapid sequential event publishing"""
+        with patch('app.services.messaging.training_publisher') as mock_pub:
+            mock_pub.publish_event = AsyncMock(return_value=True)
+            
+            # Publish many events in sequence
+            for i in range(100):
+                await messaging.publish_job_progress("job-123", "tenant-123", i, f"step-{i}")
+            
+            assert mock_pub.publish_event.call_count == 100

services/training/tests/test_ml.py

@@ -0,0 +1,513 @@
+# services/training/tests/test_ml.py
+"""
+Tests for ML components: trainer, prophet_manager, and data_processor
+"""
+
+import pytest
+import pandas as pd
+import numpy as np
+from unittest.mock import Mock, patch, AsyncMock
+from datetime import datetime, timedelta
+import os
+import tempfile
+
+from app.ml.trainer import BakeryMLTrainer
+from app.ml.prophet_manager import BakeryProphetManager
+from app.ml.data_processor import BakeryDataProcessor
+
+
+class TestBakeryDataProcessor:
+    """Test the data processor component"""
+    
+    @pytest.fixture
+    def data_processor(self):
+        return BakeryDataProcessor()
+    
+    @pytest.fixture
+    def sample_sales_data(self):
+        """Create sample sales data"""
+        dates = pd.date_range('2024-01-01', periods=60, freq='D')
+        return pd.DataFrame({
+            'date': dates,
+            'product_name': ['Pan Integral'] * 60,
+            'quantity': [45 + np.random.randint(-10, 11) for _ in range(60)]
+        })
+    
+    @pytest.fixture
+    def sample_weather_data(self):
+        """Create sample weather data"""
+        dates = pd.date_range('2024-01-01', periods=60, freq='D')
+        return pd.DataFrame({
+            'date': dates,
+            'temperature': [15 + 5 * np.sin(2 * np.pi * i / 365) + np.random.normal(0, 2) for i in range(60)],
+            'precipitation': [max(0, np.random.exponential(1)) for _ in range(60)],
+            'humidity': [60 + np.random.normal(0, 10) for _ in range(60)]
+        })
+    
+    @pytest.fixture
+    def sample_traffic_data(self):
+        """Create sample traffic data"""
+        dates = pd.date_range('2024-01-01', periods=60, freq='D')
+        return pd.DataFrame({
+            'date': dates,
+            'traffic_volume': [100 + np.random.normal(0, 20) for _ in range(60)]
+        })
+    
+    @pytest.mark.asyncio
+    async def test_prepare_training_data_basic(
+        self, 
+        data_processor, 
+        sample_sales_data, 
+        sample_weather_data, 
+        sample_traffic_data
+    ):
+        """Test basic data preparation"""
+        result = await data_processor.prepare_training_data(
+            sales_data=sample_sales_data,
+            weather_data=sample_weather_data,
+            traffic_data=sample_traffic_data,
+            product_name="Pan Integral"
+        )
+        
+        # Check result structure
+        assert isinstance(result, pd.DataFrame)
+        assert 'ds' in result.columns
+        assert 'y' in result.columns
+        assert len(result) > 0
+        
+        # Check Prophet format
+        assert result['ds'].dtype == 'datetime64[ns]'
+        assert pd.api.types.is_numeric_dtype(result['y'])
+        
+        # Check temporal features
+        temporal_features = ['day_of_week', 'is_weekend', 'month', 'is_holiday']
+        for feature in temporal_features:
+            assert feature in result.columns
+        
+        # Check weather features
+        weather_features = ['temperature', 'precipitation', 'humidity']
+        for feature in weather_features:
+            assert feature in result.columns
+        
+        # Check traffic features
+        assert 'traffic_volume' in result.columns
+    
+    @pytest.mark.asyncio
+    async def test_prepare_training_data_empty_weather(
+        self, 
+        data_processor, 
+        sample_sales_data
+    ):
+        """Test data preparation with empty weather data"""
+        result = await data_processor.prepare_training_data(
+            sales_data=sample_sales_data,
+            weather_data=pd.DataFrame(),
+            traffic_data=pd.DataFrame(),
+            product_name="Pan Integral"
+        )
+        
+        # Should still work with default values
+        assert isinstance(result, pd.DataFrame)
+        assert 'ds' in result.columns
+        assert 'y' in result.columns
+        
+        # Should have default weather values
+        assert 'temperature' in result.columns
+        assert result['temperature'].iloc[0] == 15.0  # Default value
+    
+    @pytest.mark.asyncio
+    async def test_prepare_prediction_features(self, data_processor):
+        """Test preparation of prediction features"""
+        future_dates = pd.date_range('2024-02-01', periods=7, freq='D')
+        
+        weather_forecast = pd.DataFrame({
+            'ds': future_dates,
+            'temperature': [18.0] * 7,
+            'precipitation': [0.0] * 7,
+            'humidity': [65.0] * 7
+        })
+        
+        result = await data_processor.prepare_prediction_features(
+            future_dates=future_dates,
+            weather_forecast=weather_forecast,
+            traffic_forecast=pd.DataFrame()
+        )
+        
+        assert isinstance(result, pd.DataFrame)
+        assert len(result) == 7
+        assert 'ds' in result.columns
+        
+        # Check temporal features are added
+        assert 'day_of_week' in result.columns
+        assert 'is_weekend' in result.columns
+        
+        # Check weather features
+        assert 'temperature' in result.columns
+        assert all(result['temperature'] == 18.0)
+    
+    def test_add_temporal_features(self, data_processor):
+        """Test temporal feature engineering"""
+        dates = pd.date_range('2024-01-01', periods=10, freq='D')
+        df = pd.DataFrame({'date': dates})
+        
+        result = data_processor._add_temporal_features(df)
+        
+        # Check temporal features
+        assert 'day_of_week' in result.columns
+        assert 'is_weekend' in result.columns
+        assert 'month' in result.columns
+        assert 'season' in result.columns
+        assert 'week_of_year' in result.columns
+        assert 'quarter' in result.columns
+        assert 'is_holiday' in result.columns
+        assert 'is_school_holiday' in result.columns
+        
+        # Check weekend detection
+        # 2024-01-01 was a Monday (day_of_week = 0)
+        assert result.iloc[0]['day_of_week'] == 0
+        assert result.iloc[0]['is_weekend'] == 0
+        
+        # 2024-01-06 was a Saturday (day_of_week = 5)
+        assert result.iloc[5]['day_of_week'] == 5
+        assert result.iloc[5]['is_weekend'] == 1
+    
+    def test_spanish_holiday_detection(self, data_processor):
+        """Test Spanish holiday detection"""
+        # Test known Spanish holidays
+        new_year = datetime(2024, 1, 1)
+        epiphany = datetime(2024, 1, 6)
+        labour_day = datetime(2024, 5, 1)
+        christmas = datetime(2024, 12, 25)
+        
+        assert data_processor._is_spanish_holiday(new_year) == True
+        assert data_processor._is_spanish_holiday(epiphany) == True
+        assert data_processor._is_spanish_holiday(labour_day) == True
+        assert data_processor._is_spanish_holiday(christmas) == True
+        
+        # Test non-holiday
+        regular_day = datetime(2024, 3, 15)
+        assert data_processor._is_spanish_holiday(regular_day) == False
+    
+    @pytest.mark.asyncio
+    async def test_prepare_training_data_insufficient_data(self, data_processor):
+        """Test handling of insufficient training data"""
+        # Create very small dataset
+        small_sales_data = pd.DataFrame({
+            'date': pd.date_range('2024-01-01', periods=5, freq='D'),
+            'product_name': ['Pan Integral'] * 5,
+            'quantity': [45, 50, 48, 52, 49]
+        })
+        
+        with pytest.raises(Exception):
+            await data_processor.prepare_training_data(
+                sales_data=small_sales_data,
+                weather_data=pd.DataFrame(),
+                traffic_data=pd.DataFrame(),
+                product_name="Pan Integral"
+            )
+
+
+class TestBakeryProphetManager:
+    """Test the Prophet manager component"""
+    
+    @pytest.fixture
+    def prophet_manager(self):
+        with patch('app.ml.prophet_manager.settings.MODEL_STORAGE_PATH', '/tmp/test_models'):
+            os.makedirs('/tmp/test_models', exist_ok=True)
+            return BakeryProphetManager()
+    
+    @pytest.fixture
+    def sample_prophet_data(self):
+        """Create sample data in Prophet format"""
+        dates = pd.date_range('2024-01-01', periods=100, freq='D')
+        return pd.DataFrame({
+            'ds': dates,
+            'y': [45 + 10 * np.sin(2 * np.pi * i / 7) + np.random.normal(0, 5) for i in range(100)],
+            'temperature': [15 + 5 * np.sin(2 * np.pi * i / 365) for i in range(100)],
+            'humidity': [60 + np.random.normal(0, 10) for _ in range(100)]
+        })
+    
+    @pytest.mark.asyncio
+    async def test_train_bakery_model_success(self, prophet_manager, sample_prophet_data):
+        """Test successful model training"""
+        with patch('prophet.Prophet') as mock_prophet_class:
+            mock_model = Mock()
+            mock_model.fit.return_value = None
+            mock_prophet_class.return_value = mock_model
+            
+            with patch('joblib.dump') as mock_dump:
+                result = await prophet_manager.train_bakery_model(
+                    tenant_id="test-tenant",
+                    product_name="Pan Integral",
+                    df=sample_prophet_data,
+                    job_id="test-job-123"
+                )
+        
+        # Check result structure
+        assert isinstance(result, dict)
+        assert 'model_id' in result
+        assert 'model_path' in result
+        assert 'type' in result
+        assert result['type'] == 'prophet'
+        assert 'training_samples' in result
+        assert 'features' in result
+        assert 'training_metrics' in result
+        
+        # Check that model was fitted
+        mock_model.fit.assert_called_once()
+        mock_dump.assert_called_once()
+    
+    @pytest.mark.asyncio
+    async def test_validate_training_data_valid(self, prophet_manager, sample_prophet_data):
+        """Test validation with valid data"""
+        # Should not raise exception
+        await prophet_manager._validate_training_data(sample_prophet_data, "Pan Integral")
+    
+    @pytest.mark.asyncio
+    async def test_validate_training_data_insufficient(self, prophet_manager):
+        """Test validation with insufficient data"""
+        small_data = pd.DataFrame({
+            'ds': pd.date_range('2024-01-01', periods=5, freq='D'),
+            'y': [45, 50, 48, 52, 49]
+        })
+        
+        with pytest.raises(ValueError, match="Insufficient training data"):
+            await prophet_manager._validate_training_data(small_data, "Pan Integral")
+    
+    @pytest.mark.asyncio
+    async def test_validate_training_data_missing_columns(self, prophet_manager):
+        """Test validation with missing required columns"""
+        invalid_data = pd.DataFrame({
+            'date': pd.date_range('2024-01-01', periods=50, freq='D'),
+            'quantity': [45] * 50
+        })
+        
+        with pytest.raises(ValueError, match="Missing required columns"):
+            await prophet_manager._validate_training_data(invalid_data, "Pan Integral")
+    
+    def test_get_spanish_holidays(self, prophet_manager):
+        """Test Spanish holidays creation"""
+        holidays = prophet_manager._get_spanish_holidays()
+        
+        if not holidays.empty:
+            assert 'holiday' in holidays.columns
+            assert 'ds' in holidays.columns
+            
+            # Check some known holidays exist
+            holiday_names = holidays['holiday'].unique()
+            expected_holidays = ['new_year', 'christmas', 'may_day']
+            
+            for holiday in expected_holidays:
+                assert holiday in holiday_names
+    
+    def test_extract_regressor_columns(self, prophet_manager, sample_prophet_data):
+        """Test regressor column extraction"""
+        regressors = prophet_manager._extract_regressor_columns(sample_prophet_data)
+        
+        assert isinstance(regressors, list)
+        assert 'temperature' in regressors
+        assert 'humidity' in regressors
+        assert 'ds' not in regressors  # Should be excluded
+        assert 'y' not in regressors   # Should be excluded
+    
+    @pytest.mark.asyncio
+    async def test_generate_forecast(self, prophet_manager):
+        """Test forecast generation"""
+        # Create a temporary model file
+        with tempfile.NamedTemporaryFile(suffix='.pkl', delete=False) as temp_file:
+            model_path = temp_file.name
+        
+        try:
+            # Mock a saved model
+            with patch('joblib.load') as mock_load:
+                mock_model = Mock()
+                mock_forecast = pd.DataFrame({
+                    'ds': pd.date_range('2024-02-01', periods=7, freq='D'),
+                    'yhat': [50.0] * 7,
+                    'yhat_lower': [45.0] * 7,
+                    'yhat_upper': [55.0] * 7
+                })
+                mock_model.predict.return_value = mock_forecast
+                mock_load.return_value = mock_model
+                
+                future_data = pd.DataFrame({
+                    'ds': pd.date_range('2024-02-01', periods=7, freq='D'),
+                    'temperature': [18.0] * 7,
+                    'humidity': [65.0] * 7
+                })
+                
+                result = await prophet_manager.generate_forecast(
+                    model_path=model_path,
+                    future_dates=future_data,
+                    regressor_columns=['temperature', 'humidity']
+                )
+                
+                assert isinstance(result, pd.DataFrame)
+                assert len(result) == 7
+                mock_model.predict.assert_called_once()
+        
+        finally:
+            # Cleanup
+            try:
+                os.unlink(model_path)
+            except FileNotFoundError:
+                pass
+
+
+class TestBakeryMLTrainer:
+    """Test the ML trainer component"""
+    
+    @pytest.fixture
+    def ml_trainer(self, mock_prophet_manager, mock_data_processor):
+        return BakeryMLTrainer()
+    
+    @pytest.fixture
+    def sample_sales_data(self):
+        """Sample sales data for training"""
+        return [
+            {"date": "2024-01-01", "product_name": "Pan Integral", "quantity": 45},
+            {"date": "2024-01-02", "product_name": "Pan Integral", "quantity": 50},
+            {"date": "2024-01-03", "product_name": "Pan Integral", "quantity": 48},
+            {"date": "2024-01-04", "product_name": "Croissant", "quantity": 25},
+            {"date": "2024-01-05", "product_name": "Croissant", "quantity": 30}
+        ]
+    
+    @pytest.mark.asyncio
+    async def test_train_tenant_models_success(
+        self, 
+        ml_trainer, 
+        sample_sales_data,
+        mock_prophet_manager,
+        mock_data_processor
+    ):
+        """Test successful training of tenant models"""
+        result = await ml_trainer.train_tenant_models(
+            tenant_id="test-tenant",
+            sales_data=sample_sales_data,
+            weather_data=[],
+            traffic_data=[],
+            job_id="test-job-123"
+        )
+        
+        # Check result structure
+        assert isinstance(result, dict)
+        assert 'job_id' in result
+        assert 'tenant_id' in result
+        assert 'status' in result
+        assert 'training_results' in result
+        assert 'summary' in result
+        
+        assert result['status'] == 'completed'
+        assert result['tenant_id'] == 'test-tenant'
+    
+    @pytest.mark.asyncio
+    async def test_train_single_product_success(
+        self, 
+        ml_trainer, 
+        sample_sales_data,
+        mock_prophet_manager,
+        mock_data_processor
+    ):
+        """Test successful single product training"""
+        product_sales = [item for item in sample_sales_data if item['product_name'] == 'Pan Integral']
+        
+        result = await ml_trainer.train_single_product(
+            tenant_id="test-tenant",
+            product_name="Pan Integral",
+            sales_data=product_sales,
+            weather_data=[],
+            traffic_data=[],
+            job_id="test-job-123"
+        )
+        
+        # Check result structure
+        assert isinstance(result, dict)
+        assert 'job_id' in result
+        assert 'tenant_id' in result
+        assert 'product_name' in result
+        assert 'status' in result
+        assert 'model_info' in result
+        
+        assert result['status'] == 'success'
+        assert result['product_name'] == 'Pan Integral'
+    
+    @pytest.mark.asyncio
+    async def test_train_single_product_no_data(self, ml_trainer):
+        """Test single product training with no data"""
+        with pytest.raises(ValueError, match="No sales data found"):
+            await ml_trainer.train_single_product(
+                tenant_id="test-tenant",
+                product_name="Nonexistent Product",
+                sales_data=[],
+                weather_data=[],
+                traffic_data=[],
+                job_id="test-job-123"
+            )
+    
+    @pytest.mark.asyncio
+    async def test_validate_input_data_valid(self, ml_trainer, sample_sales_data):
+        """Test input data validation with valid data"""
+        df = pd.DataFrame(sample_sales_data)
+        
+        # Should not raise exception
+        await ml_trainer._validate_input_data(df, "test-tenant")
+    
+    @pytest.mark.asyncio
+    async def test_validate_input_data_empty(self, ml_trainer):
+        """Test input data validation with empty data"""
+        empty_df = pd.DataFrame()
+        
+        with pytest.raises(ValueError, match="No sales data provided"):
+            await ml_trainer._validate_input_data(empty_df, "test-tenant")
+    
+    @pytest.mark.asyncio
+    async def test_validate_input_data_missing_columns(self, ml_trainer):
+        """Test input data validation with missing columns"""
+        invalid_df = pd.DataFrame([
+            {"invalid_column": "value1"},
+            {"invalid_column": "value2"}
+        ])
+        
+        with pytest.raises(ValueError, match="Missing required columns"):
+            await ml_trainer._validate_input_data(invalid_df, "test-tenant")
+    
+    def test_calculate_training_summary(self, ml_trainer):
+        """Test training summary calculation"""
+        training_results = {
+            "Pan Integral": {
+                "status": "success",
+                "model_info": {"training_metrics": {"mae": 5.0, "rmse": 7.0}}
+            },
+            "Croissant": {
+                "status": "error",
+                "error_message": "Insufficient data"
+            },
+            "Baguette": {
+                "status": "skipped",
+                "reason": "insufficient_data"
+            }
+        }
+        
+        summary = ml_trainer._calculate_training_summary(training_results)
+        
+        assert summary['total_products'] == 3
+        assert summary['successful_products'] == 1
+        assert summary['failed_products'] == 1
+        assert summary['skipped_products'] == 1
+        assert summary['success_rate'] == 33.33  # 1/3 * 100
+
+
+class TestIntegrationML:
+    """Integration tests for ML components working together"""
+    
+    @pytest.mark.asyncio
+    async def test_end_to_end_training_flow(self):
+        """Test complete training flow from data to model"""
+        # This test would require actual Prophet and data processing
+        # Skip for now due to dependencies
+        pytest.skip("Requires actual Prophet dependencies for integration test")
+    
+    @pytest.mark.asyncio
+    async def test_data_pipeline_integration(self):
+        """Test data processor -> prophet manager integration"""
+        pytest.skip("Requires actual dependencies for integration test")

services/training/tests/test_service.py

@@ -0,0 +1,688 @@
+# services/training/tests/test_service.py
+"""
+Tests for training service business logic layer
+"""
+
+import pytest
+from unittest.mock import AsyncMock, Mock, patch
+from datetime import datetime, timedelta
+import httpx
+
+from app.services.training_service import TrainingService
+from app.schemas.training import TrainingJobRequest, SingleProductTrainingRequest
+from app.models.training import ModelTrainingLog, TrainedModel
+
+
+class TestTrainingService:
+    """Test the training service business logic"""
+    
+    @pytest.fixture
+    def training_service(self, mock_ml_trainer):
+        return TrainingService()
+    
+    @pytest.mark.asyncio
+    async def test_create_training_job_success(
+        self, 
+        training_service, 
+        test_db_session
+    ):
+        """Test successful training job creation"""
+        job_id = "test-job-123"
+        tenant_id = "test-tenant"
+        config = {"include_weather": True, "include_traffic": True}
+        
+        result = await training_service.create_training_job(
+            db=test_db_session,
+            tenant_id=tenant_id,
+            job_id=job_id,
+            config=config
+        )
+        
+        assert isinstance(result, ModelTrainingLog)
+        assert result.job_id == job_id
+        assert result.tenant_id == tenant_id
+        assert result.status == "pending"
+        assert result.progress == 0
+        assert result.config == config
+    
+    @pytest.mark.asyncio
+    async def test_create_single_product_job_success(
+        self, 
+        training_service, 
+        test_db_session
+    ):
+        """Test successful single product job creation"""
+        job_id = "test-product-job-123"
+        tenant_id = "test-tenant"
+        product_name = "Pan Integral"
+        config = {"include_weather": True}
+        
+        result = await training_service.create_single_product_job(
+            db=test_db_session,
+            tenant_id=tenant_id,
+            product_name=product_name,
+            job_id=job_id,
+            config=config
+        )
+        
+        assert isinstance(result, ModelTrainingLog)
+        assert result.job_id == job_id
+        assert result.tenant_id == tenant_id
+        assert result.config["single_product"] == product_name
+        assert f"Initializing training for {product_name}" in result.current_step
+    
+    @pytest.mark.asyncio
+    async def test_get_job_status_existing(
+        self, 
+        training_service, 
+        test_db_session,
+        training_job_in_db
+    ):
+        """Test getting status of existing job"""
+        result = await training_service.get_job_status(
+            db=test_db_session,
+            job_id=training_job_in_db.job_id,
+            tenant_id=training_job_in_db.tenant_id
+        )
+        
+        assert result is not None
+        assert result.job_id == training_job_in_db.job_id
+        assert result.status == training_job_in_db.status
+    
+    @pytest.mark.asyncio
+    async def test_get_job_status_nonexistent(
+        self, 
+        training_service, 
+        test_db_session
+    ):
+        """Test getting status of non-existent job"""
+        result = await training_service.get_job_status(
+            db=test_db_session,
+            job_id="nonexistent-job",
+            tenant_id="test-tenant"
+        )
+        
+        assert result is None
+    
+    @pytest.mark.asyncio
+    async def test_list_training_jobs(
+        self, 
+        training_service, 
+        test_db_session,
+        training_job_in_db
+    ):
+        """Test listing training jobs"""
+        result = await training_service.list_training_jobs(
+            db=test_db_session,
+            tenant_id=training_job_in_db.tenant_id,
+            limit=10
+        )
+        
+        assert isinstance(result, list)
+        assert len(result) >= 1
+        assert result[0].job_id == training_job_in_db.job_id
+    
+    @pytest.mark.asyncio
+    async def test_list_training_jobs_with_filter(
+        self, 
+        training_service, 
+        test_db_session,
+        training_job_in_db
+    ):
+        """Test listing training jobs with status filter"""
+        result = await training_service.list_training_jobs(
+            db=test_db_session,
+            tenant_id=training_job_in_db.tenant_id,
+            limit=10,
+            status_filter="pending"
+        )
+        
+        assert isinstance(result, list)
+        for job in result:
+            assert job.status == "pending"
+    
+    @pytest.mark.asyncio
+    async def test_cancel_training_job_success(
+        self, 
+        training_service, 
+        test_db_session,
+        training_job_in_db
+    ):
+        """Test successful job cancellation"""
+        result = await training_service.cancel_training_job(
+            db=test_db_session,
+            job_id=training_job_in_db.job_id,
+            tenant_id=training_job_in_db.tenant_id
+        )
+        
+        assert result is True
+        
+        # Verify status was updated
+        updated_job = await training_service.get_job_status(
+            db=test_db_session,
+            job_id=training_job_in_db.job_id,
+            tenant_id=training_job_in_db.tenant_id
+        )
+        assert updated_job.status == "cancelled"
+    
+    @pytest.mark.asyncio
+    async def test_cancel_nonexistent_job(
+        self, 
+        training_service, 
+        test_db_session
+    ):
+        """Test cancelling non-existent job"""
+        result = await training_service.cancel_training_job(
+            db=test_db_session,
+            job_id="nonexistent-job",
+            tenant_id="test-tenant"
+        )
+        
+        assert result is False
+    
+    @pytest.mark.asyncio
+    async def test_validate_training_data_valid(
+        self, 
+        training_service, 
+        test_db_session,
+        mock_data_service
+    ):
+        """Test validation with valid data"""
+        config = {"min_data_points": 30}
+        
+        result = await training_service.validate_training_data(
+            db=test_db_session,
+            tenant_id="test-tenant",
+            config=config
+        )
+        
+        assert isinstance(result, dict)
+        assert "is_valid" in result
+        assert "issues" in result
+        assert "recommendations" in result
+        assert "estimated_time_minutes" in result
+    
+    @pytest.mark.asyncio
+    async def test_validate_training_data_no_data(
+        self, 
+        training_service, 
+        test_db_session
+    ):
+        """Test validation with no data"""
+        config = {"min_data_points": 30}
+        
+        with patch('app.services.training_service.TrainingService._fetch_sales_data', return_value=AsyncMock(return_value=[])):
+            result = await training_service.validate_training_data(
+                db=test_db_session,
+                tenant_id="test-tenant",
+                config=config
+            )
+        
+        assert result["is_valid"] is False
+        assert "No sales data found" in result["issues"][0]
+    
+    @pytest.mark.asyncio
+    async def test_update_job_status(
+        self, 
+        training_service, 
+        test_db_session,
+        training_job_in_db
+    ):
+        """Test updating job status"""
+        await training_service._update_job_status(
+            db=test_db_session,
+            job_id=training_job_in_db.job_id,
+            status="running",
+            progress=50,
+            current_step="Training models"
+        )
+        
+        # Verify update
+        updated_job = await training_service.get_job_status(
+            db=test_db_session,
+            job_id=training_job_in_db.job_id,
+            tenant_id=training_job_in_db.tenant_id
+        )
+        
+        assert updated_job.status == "running"
+        assert updated_job.progress == 50
+        assert updated_job.current_step == "Training models"
+    
+    @pytest.mark.asyncio
+    async def test_store_trained_models(
+        self, 
+        training_service, 
+        test_db_session
+    ):
+        """Test storing trained models"""
+        tenant_id = "test-tenant"
+        training_results = {
+            "training_results": {
+                "Pan Integral": {
+                    "status": "success",
+                    "model_info": {
+                        "model_id": "test-model-123",
+                        "model_path": "/test/models/test-model-123.pkl",
+                        "type": "prophet",
+                        "training_samples": 100,
+                        "features": ["temperature", "humidity"],
+                        "hyperparameters": {"seasonality_mode": "additive"},
+                        "training_metrics": {"mae": 5.2, "rmse": 7.8},
+                        "data_period": {
+                            "start_date": "2024-01-01T00:00:00",
+                            "end_date": "2024-01-31T00:00:00"
+                        }
+                    }
+                }
+            }
+        }
+        
+        await training_service._store_trained_models(
+            db=test_db_session,
+            tenant_id=tenant_id,
+            training_results=training_results
+        )
+        
+        # Verify model was stored
+        from sqlalchemy import select
+        result = await test_db_session.execute(
+            select(TrainedModel).where(
+                TrainedModel.tenant_id == tenant_id,
+                TrainedModel.product_name == "Pan Integral"
+            )
+        )
+        
+        stored_model = result.scalar_one_or_none()
+        assert stored_model is not None
+        assert stored_model.model_id == "test-model-123"
+        assert stored_model.is_active is True
+    
+    @pytest.mark.asyncio
+    async def test_get_training_logs(
+        self, 
+        training_service, 
+        test_db_session,
+        training_job_in_db
+    ):
+        """Test getting training logs"""
+        result = await training_service.get_training_logs(
+            db=test_db_session,
+            job_id=training_job_in_db.job_id,
+            tenant_id=training_job_in_db.tenant_id
+        )
+        
+        assert isinstance(result, list)
+        assert len(result) > 0
+        
+        # Check log content
+        log_text = " ".join(result)
+        assert training_job_in_db.job_id in log_text or "Job started" in log_text
+
+
+class TestTrainingServiceDataFetching:
+    """Test external data fetching functionality"""
+    
+    @pytest.fixture
+    def training_service(self):
+        return TrainingService()
+    
+    @pytest.mark.asyncio
+    async def test_fetch_sales_data_success(self, training_service):
+        """Test successful sales data fetching"""
+        mock_request = Mock()
+        mock_request.start_date = None
+        mock_request.end_date = None
+        
+        mock_response_data = {
+            "sales": [
+                {"date": "2024-01-01", "product_name": "Pan Integral", "quantity": 45}
+            ]
+        }
+        
+        with patch('httpx.AsyncClient') as mock_client:
+            mock_response = Mock()
+            mock_response.status_code = 200
+            mock_response.json.return_value = mock_response_data
+            
+            mock_client.return_value.__aenter__.return_value.get.return_value = mock_response
+            
+            result = await training_service._fetch_sales_data(
+                tenant_id="test-tenant",
+                request=mock_request
+            )
+        
+        assert result == mock_response_data["sales"]
+    
+    @pytest.mark.asyncio
+    async def test_fetch_sales_data_error(self, training_service):
+        """Test sales data fetching with API error"""
+        mock_request = Mock()
+        mock_request.start_date = None
+        mock_request.end_date = None
+        
+        with patch('httpx.AsyncClient') as mock_client:
+            mock_response = Mock()
+            mock_response.status_code = 500
+            
+            mock_client.return_value.__aenter__.return_value.get.return_value = mock_response
+            
+            result = await training_service._fetch_sales_data(
+                tenant_id="test-tenant",
+                request=mock_request
+            )
+        
+        assert result == []
+    
+    @pytest.mark.asyncio
+    async def test_fetch_weather_data_success(self, training_service):
+        """Test successful weather data fetching"""
+        mock_request = Mock()
+        mock_request.start_date = None
+        mock_request.end_date = None
+        
+        mock_response_data = {
+            "weather": [
+                {"date": "2024-01-01", "temperature": 15.2, "precipitation": 0.0}
+            ]
+        }
+        
+        with patch('httpx.AsyncClient') as mock_client:
+            mock_response = Mock()
+            mock_response.status_code = 200
+            mock_response.json.return_value = mock_response_data
+            
+            mock_client.return_value.__aenter__.return_value.get.return_value = mock_response
+            
+            result = await training_service._fetch_weather_data(
+                tenant_id="test-tenant",
+                request=mock_request
+            )
+        
+        assert result == mock_response_data["weather"]
+    
+    @pytest.mark.asyncio
+    async def test_fetch_traffic_data_success(self, training_service):
+        """Test successful traffic data fetching"""
+        mock_request = Mock()
+        mock_request.start_date = None
+        mock_request.end_date = None
+        
+        mock_response_data = {
+            "traffic": [
+                {"date": "2024-01-01", "traffic_volume": 120}
+            ]
+        }
+        
+        with patch('httpx.AsyncClient') as mock_client:
+            mock_response = Mock()
+            mock_response.status_code = 200
+            mock_response.json.return_value = mock_response_data
+            
+            mock_client.return_value.__aenter__.return_value.get.return_value = mock_response
+            
+            result = await training_service._fetch_traffic_data(
+                tenant_id="test-tenant",
+                request=mock_request
+            )
+        
+        assert result == mock_response_data["traffic"]
+    
+    @pytest.mark.asyncio
+    async def test_fetch_data_with_date_filters(self, training_service):
+        """Test data fetching with date filters"""
+        from datetime import datetime
+        
+        mock_request = Mock()
+        mock_request.start_date = datetime(2024, 1, 1)
+        mock_request.end_date = datetime(2024, 1, 31)
+        
+        with patch('httpx.AsyncClient') as mock_client:
+            mock_response = Mock()
+            mock_response.status_code = 200
+            mock_response.json.return_value = {"sales": []}
+            
+            mock_get = mock_client.return_value.__aenter__.return_value.get
+            mock_get.return_value = mock_response
+            
+            await training_service._fetch_sales_data(
+                tenant_id="test-tenant",
+                request=mock_request
+            )
+            
+            # Verify dates were passed in params
+            call_args = mock_get.call_args
+            params = call_args[1]["params"]
+            assert "start_date" in params
+            assert "end_date" in params
+            assert params["start_date"] == "2024-01-01T00:00:00"
+            assert params["end_date"] == "2024-01-31T00:00:00"
+
+
+class TestTrainingServiceExecution:
+    """Test training execution workflow"""
+    
+    @pytest.fixture
+    def training_service(self, mock_ml_trainer):
+        return TrainingService()
+    
+    @pytest.mark.asyncio
+    async def test_execute_training_job_success(
+        self, 
+        training_service, 
+        test_db_session,
+        mock_messaging,
+        mock_data_service
+    ):
+        """Test successful training job execution"""
+        # Create job first
+        job_id = "test-execution-job"
+        training_log = await training_service.create_training_job(
+            db=test_db_session,
+            tenant_id="test-tenant",
+            job_id=job_id,
+            config={"include_weather": True}
+        )
+        
+        request = TrainingJobRequest(
+            include_weather=True,
+            include_traffic=True,
+            min_data_points=30
+        )
+        
+        with patch('app.services.training_service.TrainingService._fetch_sales_data') as mock_fetch_sales, \
+             patch('app.services.training_service.TrainingService._fetch_weather_data') as mock_fetch_weather, \
+             patch('app.services.training_service.TrainingService._fetch_traffic_data') as mock_fetch_traffic, \
+             patch('app.services.training_service.TrainingService._store_trained_models') as mock_store:
+            
+            mock_fetch_sales.return_value = [{"date": "2024-01-01", "product_name": "Pan Integral", "quantity": 45}]
+            mock_fetch_weather.return_value = []
+            mock_fetch_traffic.return_value = []
+            mock_store.return_value = None
+            
+            await training_service.execute_training_job(
+                db=test_db_session,
+                job_id=job_id,
+                tenant_id="test-tenant",
+                request=request
+            )
+        
+        # Verify job was completed
+        updated_job = await training_service.get_job_status(
+            db=test_db_session,
+            job_id=job_id,
+            tenant_id="test-tenant"
+        )
+        
+        assert updated_job.status == "completed"
+        assert updated_job.progress == 100
+    
+    @pytest.mark.asyncio
+    async def test_execute_training_job_failure(
+        self, 
+        training_service, 
+        test_db_session,
+        mock_messaging
+    ):
+        """Test training job execution with failure"""
+        # Create job first
+        job_id = "test-failure-job"
+        await training_service.create_training_job(
+            db=test_db_session,
+            tenant_id="test-tenant",
+            job_id=job_id,
+            config={}
+        )
+        
+        request = TrainingJobRequest(min_data_points=30)
+        
+        with patch('app.services.training_service.TrainingService._fetch_sales_data') as mock_fetch:
+            mock_fetch.side_effect = Exception("Data service unavailable")
+            
+            with pytest.raises(Exception):
+                await training_service.execute_training_job(
+                    db=test_db_session,
+                    job_id=job_id,
+                    tenant_id="test-tenant",
+                    request=request
+                )
+        
+        # Verify job was marked as failed
+        updated_job = await training_service.get_job_status(
+            db=test_db_session,
+            job_id=job_id,
+            tenant_id="test-tenant"
+        )
+        
+        assert updated_job.status == "failed"
+        assert "Data service unavailable" in updated_job.error_message
+    
+    @pytest.mark.asyncio
+    async def test_execute_single_product_training_success(
+        self, 
+        training_service, 
+        test_db_session,
+        mock_messaging,
+        mock_data_service
+    ):
+        """Test successful single product training execution"""
+        job_id = "test-single-product-job"
+        product_name = "Pan Integral"
+        
+        await training_service.create_single_product_job(
+            db=test_db_session,
+            tenant_id="test-tenant",
+            product_name=product_name,
+            job_id=job_id,
+            config={}
+        )
+        
+        request = SingleProductTrainingRequest(
+            include_weather=True,
+            include_traffic=False
+        )
+        
+        with patch('app.services.training_service.TrainingService._fetch_product_sales_data') as mock_fetch_sales, \
+             patch('app.services.training_service.TrainingService._fetch_weather_data') as mock_fetch_weather, \
+             patch('app.services.training_service.TrainingService._store_single_trained_model') as mock_store:
+            
+            mock_fetch_sales.return_value = [{"date": "2024-01-01", "product_name": product_name, "quantity": 45}]
+            mock_fetch_weather.return_value = []
+            mock_store.return_value = None
+            
+            await training_service.execute_single_product_training(
+                db=test_db_session,
+                job_id=job_id,
+                tenant_id="test-tenant",
+                product_name=product_name,
+                request=request
+            )
+        
+        # Verify job was completed
+        updated_job = await training_service.get_job_status(
+            db=test_db_session,
+            job_id=job_id,
+            tenant_id="test-tenant"
+        )
+        
+        assert updated_job.status == "completed"
+        assert updated_job.progress == 100
+
+
+class TestTrainingServiceEdgeCases:
+    """Test edge cases and error conditions"""
+    
+    @pytest.fixture
+    def training_service(self):
+        return TrainingService()
+    
+    @pytest.mark.asyncio
+    async def test_database_connection_failure(self, training_service):
+        """Test handling of database connection failures"""
+        with patch('sqlalchemy.ext.asyncio.AsyncSession') as mock_session:
+            mock_session.side_effect = Exception("Database connection failed")
+            
+            with pytest.raises(Exception):
+                await training_service.create_training_job(
+                    db=mock_session,
+                    tenant_id="test-tenant",
+                    job_id="test-job",
+                    config={}
+                )
+    
+    @pytest.mark.asyncio
+    async def test_external_service_timeout(self, training_service):
+        """Test handling of external service timeouts"""
+        mock_request = Mock()
+        mock_request.start_date = None
+        mock_request.end_date = None
+        
+        with patch('httpx.AsyncClient') as mock_client:
+            mock_client.return_value.__aenter__.return_value.get.side_effect = httpx.TimeoutException("Request timeout")
+            
+            result = await training_service._fetch_sales_data(
+                tenant_id="test-tenant",
+                request=mock_request
+            )
+            
+            # Should return empty list on timeout
+            assert result == []
+    
+    @pytest.mark.asyncio
+    async def test_concurrent_job_creation(self, training_service, test_db_session):
+        """Test handling of concurrent job creation"""
+        # This test would need more sophisticated setup for true concurrency testing
+        # For now, just test that multiple jobs can be created
+        
+        job_ids = ["concurrent-job-1", "concurrent-job-2", "concurrent-job-3"]
+        
+        jobs = []
+        for job_id in job_ids:
+            job = await training_service.create_training_job(
+                db=test_db_session,
+                tenant_id="test-tenant",
+                job_id=job_id,
+                config={}
+            )
+            jobs.append(job)
+        
+        assert len(jobs) == 3
+        for i, job in enumerate(jobs):
+            assert job.job_id == job_ids[i]
+    
+    @pytest.mark.asyncio
+    async def test_malformed_config_handling(self, training_service, test_db_session):
+        """Test handling of malformed configuration"""
+        malformed_config = {
+            "invalid_key": "invalid_value",
+            "nested": {"data": None}
+        }
+        
+        # Should not raise exception, just store the config as-is
+        job = await training_service.create_training_job(
+            db=test_db_session,
+            tenant_id="test-tenant",
+            job_id="malformed-config-job",
+            config=malformed_config
+        )
+        
+        assert job.config == malformed_config