Initial commit - production deployment

services/forecasting/tests/integration/test_forecasting_flow.py

@@ -0,0 +1,114 @@
+# ================================================================
+# Integration Tests: tests/integration/test_forecasting_flow.py
+# ================================================================
+"""
+Integration tests for complete forecasting flow
+"""
+
+import pytest
+import httpx
+import asyncio
+from datetime import date, timedelta
+import json
+
+class TestForecastingFlow:
+    """Test complete forecasting workflow"""
+    
+    @pytest.mark.asyncio
+    async def test_complete_forecast_flow(self):
+        """Test complete flow from training to forecasting"""
+        
+        base_url = "http://localhost:8000"  # API Gateway
+        
+        # Test data
+        tenant_id = "test-tenant-123"
+        product_name = "Pan Integral"
+        location = "madrid_centro"
+        
+        async with httpx.AsyncClient() as client:
+            # 1. Check if model exists
+            model_response = await client.get(
+                f"{base_url}/api/v1/training/models/latest",
+                params={
+                    "tenant_id": tenant_id,
+                    "product_name": product_name,
+                    "location": location
+                }
+            )
+            
+            # 2. Generate forecast
+            forecast_request = {
+                "tenant_id": tenant_id,
+                "product_name": product_name,
+                "location": location,
+                "forecast_date": (date.today() + timedelta(days=1)).isoformat(),
+                "business_type": "individual",
+                "include_weather": True,
+                "include_traffic": True,
+                "confidence_level": 0.8
+            }
+            
+            forecast_response = await client.post(
+                f"{base_url}/api/v1/forecasting/single",
+                json=forecast_request
+            )
+            
+            assert forecast_response.status_code == 200
+            forecast_data = forecast_response.json()
+            
+            # Verify forecast structure
+            assert "id" in forecast_data
+            assert "predicted_demand" in forecast_data
+            assert "confidence_lower" in forecast_data
+            assert "confidence_upper" in forecast_data
+            assert forecast_data["product_name"] == product_name
+            
+            # 3. Get forecast list
+            list_response = await client.get(
+                f"{base_url}/api/v1/forecasting/list",
+                params={"location": location}
+            )
+            
+            assert list_response.status_code == 200
+            forecasts = list_response.json()
+            assert len(forecasts) > 0
+            
+            # 4. Check for alerts
+            alerts_response = await client.get(
+                f"{base_url}/api/v1/forecasting/alerts"
+            )
+            
+            assert alerts_response.status_code == 200
+    
+    @pytest.mark.asyncio
+    async def test_batch_forecasting(self):
+        """Test batch forecasting functionality"""
+        
+        base_url = "http://localhost:8000"
+        
+        batch_request = {
+            "tenant_id": "test-tenant-123",
+            "batch_name": "Weekly Forecast Batch",
+            "products": ["Pan Integral", "Croissant", "Café con Leche"],
+            "location": "madrid_centro",
+            "forecast_days": 7,
+            "business_type": "individual",
+            "include_weather": True,
+            "include_traffic": True,
+            "confidence_level": 0.8
+        }
+        
+        async with httpx.AsyncClient(timeout=60.0) as client:
+            response = await client.post(
+                f"{base_url}/api/v1/forecasting/batch",
+                json=batch_request
+            )
+            
+            assert response.status_code == 200
+            batch_data = response.json()
+            
+            assert "id" in batch_data
+            assert batch_data["batch_name"] == "Weekly Forecast Batch"
+            assert batch_data["total_products"] == 21  # 3 products * 7 days
+            assert batch_data["status"] in ["completed", "partial"]
+