Updated: Index Of Megamind

return jsonify(response["hits"]["hits"])

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

def test_update_index(self): data = [{"title": "Test", "description": "Test"}] update_index(data) self.assertTrue(True) index of megamind updated

from elasticsearch import Elasticsearch

import unittest from app import app

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 })

def create_index(): es = Elasticsearch() es.indices.create(index="megamind-index", body={ "mappings": { "properties": { "title": {"type": "text"}, "description": {"type": "text"} } } }) index of megamind updated

app = Flask(__name__)