239 lines
9.6 KiB
Python
239 lines
9.6 KiB
Python
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"""
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Deployment Smoke Tests
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These tests verify basic functionality after deployment.
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They should be run on the deployed environment to ensure the deployment was successful.
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"""
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import pytest
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import requests
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import time
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import os
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from datetime import datetime
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# Configuration - these should be set based on the deployment environment
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BASE_URL = os.getenv('DEPLOYMENT_BASE_URL', 'http://localhost:8080')
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SCADA_URL = os.getenv('DEPLOYMENT_SCADA_URL', 'http://localhost:8081')
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OPTIMIZER_URL = os.getenv('DEPLOYMENT_OPTIMIZER_URL', 'http://localhost:8082')
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# Retry configuration for service startup
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MAX_RETRIES = 10
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RETRY_DELAY = 5 # seconds
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class DeploymentSmokeTests:
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"""Smoke tests for deployment verification"""
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def test_health_endpoints(self):
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"""Test that all health endpoints are responding"""
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print("\n🏥 Testing Health Endpoints...")
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endpoints = [
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(f"{BASE_URL}/health", "Main Application"),
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(f"{SCADA_URL}/health", "SCADA Service"),
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(f"{OPTIMIZER_URL}/health", "Optimizer Service"),
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]
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for url, service_name in endpoints:
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for attempt in range(MAX_RETRIES):
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try:
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response = requests.get(url, timeout=10)
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assert response.status_code == 200, f"{service_name} health check failed"
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print(f" ✅ {service_name}: Healthy")
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break
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except (requests.exceptions.ConnectionError, requests.exceptions.Timeout) as e:
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if attempt == MAX_RETRIES - 1:
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pytest.fail(f"{service_name} not available after {MAX_RETRIES} attempts: {e}")
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print(f" ⏳ {service_name}: Waiting... ({attempt + 1}/{MAX_RETRIES})")
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time.sleep(RETRY_DELAY)
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def test_api_endpoints(self):
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"""Test that key API endpoints are accessible"""
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print("\n🔌 Testing API Endpoints...")
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# Test main application API
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endpoints = [
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(f"{BASE_URL}/api/v1/status", "GET"),
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(f"{BASE_URL}/dashboard", "GET"),
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]
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for url, method in endpoints:
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try:
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if method == "GET":
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response = requests.get(url, timeout=10)
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else:
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response = requests.post(url, timeout=10)
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# Accept 200 (success) or 404 (endpoint not implemented yet)
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assert response.status_code in [200, 404], f"API endpoint {url} failed: {response.status_code}"
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print(f" ✅ {url}: Accessible")
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except Exception as e:
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# For smoke tests, don't fail on main app endpoints if they're not available
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# This allows testing with just mock services
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if BASE_URL != SCADA_URL and BASE_URL != OPTIMIZER_URL:
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print(f" ⚠️ {url}: Not available (expected for mock-only testing)")
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else:
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pytest.fail(f"API endpoint {url} failed: {e}")
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def test_scada_integration(self):
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"""Test basic SCADA integration"""
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print("\n🏭 Testing SCADA Integration...")
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try:
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# Get SCADA data
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response = requests.get(f"{SCADA_URL}/api/v1/data", timeout=10)
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assert response.status_code == 200, "SCADA data endpoint failed"
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data = response.json()
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assert "timestamp" in data, "SCADA data missing timestamp"
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assert "data" in data, "SCADA data missing data section"
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assert "equipment" in data, "SCADA data missing equipment section"
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print(f" ✅ SCADA Data: {len(data['data'])} data points")
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print(f" ✅ Equipment: {len(data['equipment'])} devices")
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except Exception as e:
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pytest.fail(f"SCADA integration test failed: {e}")
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def test_optimizer_integration(self):
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"""Test basic optimizer integration"""
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print("\n🧠 Testing Optimizer Integration...")
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try:
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# Get available models
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response = requests.get(f"{OPTIMIZER_URL}/api/v1/models", timeout=10)
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assert response.status_code == 200, "Optimizer models endpoint failed"
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models = response.json()
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assert "models" in models, "Optimizer response missing models"
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# Test basic optimization
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if models["models"] and len(models["models"]) > 0:
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# Get the first model key (model names are keys in the dictionary)
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model_keys = list(models["models"].keys())
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if model_keys:
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model = model_keys[0]
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optimization_data = {
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"power_load": 450,
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"time_of_day": datetime.now().hour,
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"production_rate": 95.0
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}
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response = requests.post(
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f"{OPTIMIZER_URL}/api/v1/optimize/{model}",
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json=optimization_data,
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timeout=30
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)
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# Accept 200 (success) or 400/404 (model-specific issues)
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assert response.status_code in [200, 400, 404], f"Optimization failed: {response.status_code}"
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if response.status_code == 200:
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result = response.json()
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assert "optimization_id" in result, "Optimization result missing ID"
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print(f" ✅ Optimization: {result['optimization_id']}")
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else:
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print(f" ⚠️ Optimization: Model {model} not available")
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print(f" ✅ Available Models: {len(models['models'])}")
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except Exception as e:
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pytest.fail(f"Optimizer integration test failed: {e}")
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def test_database_connectivity(self):
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"""Test database connectivity (if applicable)"""
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print("\n🗄️ Testing Database Connectivity...")
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# This test would need to be adapted based on the actual database setup
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# For now, we'll skip it or implement a basic check
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try:
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# Try to access a database-related endpoint if available
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response = requests.get(f"{BASE_URL}/api/v1/status", timeout=10)
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# If we can reach the status endpoint, assume database is working
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# (since the application likely depends on it)
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assert response.status_code in [200, 404], "Status endpoint failed"
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print(" ✅ Database: Application is responsive")
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except Exception as e:
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print(f" ⚠️ Database: Basic check failed - {e}")
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# Don't fail the test for database issues in smoke tests
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# This allows deployment to succeed even if database needs separate setup
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def test_performance_baseline(self):
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"""Test basic performance characteristics"""
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print("\n⚡ Testing Performance Baseline...")
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endpoints = [
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(f"{BASE_URL}/health", "Main Health"),
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(f"{SCADA_URL}/health", "SCADA Health"),
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(f"{OPTIMIZER_URL}/health", "Optimizer Health"),
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]
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max_response_time = 5.0 # seconds
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for url, endpoint_name in endpoints:
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start_time = time.time()
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try:
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response = requests.get(url, timeout=10)
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response_time = time.time() - start_time
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assert response.status_code == 200, f"{endpoint_name} failed"
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assert response_time < max_response_time, f"{endpoint_name} too slow: {response_time:.2f}s"
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print(f" ✅ {endpoint_name}: {response_time:.3f}s")
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except Exception as e:
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print(f" ⚠️ {endpoint_name}: Performance test skipped - {e}")
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def run_smoke_tests():
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"""Run all smoke tests and return success status"""
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print("🚀 Running Deployment Smoke Tests...")
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print(f"📡 Testing Environment:")
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print(f" Main App: {BASE_URL}")
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print(f" SCADA: {SCADA_URL}")
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print(f" Optimizer: {OPTIMIZER_URL}")
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test_instance = DeploymentSmokeTests()
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tests = [
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test_instance.test_health_endpoints,
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test_instance.test_api_endpoints,
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test_instance.test_scada_integration,
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test_instance.test_optimizer_integration,
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test_instance.test_database_connectivity,
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test_instance.test_performance_baseline,
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]
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results = []
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for test in tests:
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try:
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test()
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results.append((test.__name__, "PASSED"))
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except Exception as e:
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results.append((test.__name__, f"FAILED: {e}"))
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# Print summary
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print("\n" + "="*60)
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print("📊 SMOKE TEST SUMMARY")
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print("="*60)
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passed = 0
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for test_name, result in results:
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status = "✅" if "PASSED" in result else "❌"
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print(f"{status} {test_name}: {result}")
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if "PASSED" in result:
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passed += 1
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print(f"\n📈 Results: {passed}/{len(results)} tests passed")
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if passed == len(results):
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print("🎉 All smoke tests passed! Deployment appears successful.")
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return True
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else:
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print("⚠️ Some smoke tests failed. Please investigate deployment issues.")
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return False
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if __name__ == "__main__":
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success = run_smoke_tests()
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exit(0 if success else 1)
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