app = Flask(__name__)
return data The indexing engine will be implemented using Elasticsearch and will be responsible for creating and maintaining the index of Megamind-related content. index of megamind updated
class TestDataCollector(unittest.TestCase): def test_collect_data(self): data = collect_data() self.assertIsNotNone(data) app = Flask(__name__) return data The indexing engine
class TestSearchInterface(unittest.TestCase): def test_search(self): tester = app.test_client() response = tester.get("/search?query=Test") self.assertEqual(response.status_code, 200) index of megamind updated
import unittest from app import app
def update_index(data): es = Elasticsearch() for item in data: es.index(index="megamind-index", body=item) The search interface will be implemented using a web application framework (e.g., Flask) and will provide a simple search form for users to find Megamind-related content.