Index Of Megamind Updated -

app = Flask(__name__)

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

data = [] for source in sources: response = requests.get(source) soup = BeautifulSoup(response.content, 'html.parser') # Extract relevant data data.append({ "title": soup.find("title").text, "description": soup.find("description").text }) app = Flask(__name__) class TestSearchInterface(unittest

import unittest from app import app

return jsonify(response["hits"]["hits"]) index of megamind updated

return data The indexing engine will be implemented using Elasticsearch and will be responsible for creating and maintaining the index of Megamind-related content.