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 })
class TestDataCollector(unittest.TestCase): def test_collect_data(self): data = collect_data() self.assertIsNotNone(data)
import unittest from data_collector import collect_data from indexing_engine import create_index, update_index index of megamind updated
class TestSearchInterface(unittest.TestCase): def test_search(self): tester = app.test_client() response = tester.get("/search?query=Test") self.assertEqual(response.status_code, 200)
from flask import Flask, request, jsonify from elasticsearch import Elasticsearch data = [] for source in sources: response = requests
def test_update_index(self): data = [{"title": "Test", "description": "Test"}] update_index(data) self.assertTrue(True)
def create_index(): es = Elasticsearch() es.indices.create(index="megamind-index", body={ "mappings": { "properties": { "title": {"type": "text"}, "description": {"type": "text"} } } }) 200) from flask import Flask
app = Flask(__name__)
def collect_data(): # Collect data from APIs and web scraping sources = [ "https://example.com/megamind-api", "https://example.com/megamind-web-page" ]