The DuckDuckGo Search Module integrates web search capabilities into the AI assistant.
- 🌐 Performs web searches using the DuckDuckGo search engine
- 📊 Processes and formats search results
- 🔎
run_search(query)
: Executes a web search and returns the results
This module is used when the AI assistant needs to fetch current information from the web to answer user queries.
While there's no dedicated test file for this module, consider adding one to cover:
- Successful search queries
- Handling of empty results
- Error handling for network issues
A sample test file structure could be:
import unittest
from unittest.mock import patch
from src.modules.ddg_search import DDGSearch
class TestDDGSearch(unittest.TestCase):
def setUp(self):
self.ddg_search = DDGSearch()
@patch('src.modules.ddg_search.DuckDuckGoSearchRun')
def test_successful_search(self, mock_ddg):
# Test implementation
def test_empty_results(self):
# Test implementation
@patch('src.modules.ddg_search.DuckDuckGoSearchRun')
def test_network_error(self, mock_ddg):
# Test implementation
if __name__ == '__main__':
unittest.main()
- Implement rate limiting to avoid overloading the search service
- Consider caching frequently searched queries to improve response time
- Ensure proper error handling for network issues or service unavailability