MCP Meeting Agent

""" Tests for meeting tools. """ import pytest from unittest.mock import patch, AsyncMock from app.schemas.tech_trivia import TechTriviaQuestion from app.schemas.fun_facts import FunFact from app.tools.meeting_tools import get_tech_trivia, get_fun_fact, get_trending_repos class TestMeetingTools: """Test cases for meeting tools.""" @pytest.mark.asyncio async def test_get_tech_trivia_success(self): """Test successful tech trivia retrieval.""" mock_trivia = TechTriviaQuestion( category="Science: Computers", type="multiple", difficulty="medium", question="What is Python?", correct_answer="A programming language", incorrect_answers=["A snake", "A game", "A database"] ) with patch('app.tools.meeting_tools.TechTriviaService') as mock_service_class: mock_service = AsyncMock() mock_service.get_tech_trivia.return_value = mock_trivia mock_service_class.return_value = mock_service # Call the underlying function directly result = await get_tech_trivia.coroutine() assert "Question: What is Python?" in result assert "Answer: A programming language" in result mock_service.get_tech_trivia.assert_called_once() @pytest.mark.asyncio async def test_get_tech_trivia_failure_with_llm_fallback(self): """Test tech trivia retrieval failure with LLM fallback.""" with patch('app.tools.meeting_tools.TechTriviaService') as mock_service_class: mock_service = AsyncMock() mock_service.get_tech_trivia.side_effect = Exception("API Error") mock_service_class.return_value = mock_service # Mock MCP context with LLM sampling mock_ctx = AsyncMock() mock_response = AsyncMock() mock_response.content = "Question: What is the latest version of React?\nAnswer: React 18" mock_ctx.sample.return_value = mock_response # Call the underlying function directly with context result = await get_tech_trivia.coroutine(ctx=mock_ctx) # Should return LLM-generated fallback content assert "Question: What is the latest version of React?" in result assert "Answer: React 18" in result mock_ctx.sample.assert_called_once() @pytest.mark.asyncio async def test_get_tech_trivia_failure_without_context(self): """Test tech trivia retrieval failure without context (hardcoded fallback).""" with patch('app.tools.meeting_tools.TechTriviaService') as mock_service_class: mock_service = AsyncMock() mock_service.get_tech_trivia.side_effect = Exception("API Error") mock_service_class.return_value = mock_service # Call the underlying function directly without context result = await get_tech_trivia.coroutine() # Should return hardcoded fallback content assert "Question: What programming language was created by Guido van Rossum?" in result assert "Answer: Python" in result @pytest.mark.asyncio async def test_get_fun_fact_success(self): """Test successful fun fact retrieval.""" mock_fact = FunFact( id="123", text="The average person spends 6 months of their lifetime waiting for red lights to turn green.", source="Useless Facts API", source_url="https://uselessfacts.jsph.pl/", language="en", permalink="https://uselessfacts.jsph.pl/fact/123" ) with patch('app.tools.meeting_tools.FunFactsService') as mock_service_class: mock_service = AsyncMock() mock_service.get_fun_fact.return_value = mock_fact mock_service_class.return_value = mock_service # Call the underlying function directly result = await get_fun_fact.coroutine() assert "The average person spends 6 months" in result mock_service.get_fun_fact.assert_called_once() @pytest.mark.asyncio async def test_get_fun_fact_failure_with_llm_fallback(self): """Test fun fact retrieval failure with LLM fallback.""" with patch('app.tools.meeting_tools.FunFactsService') as mock_service_class: mock_service = AsyncMock() mock_service.get_fun_fact.side_effect = Exception("API Error") mock_service_class.return_value = mock_service # Mock MCP context with LLM sampling mock_ctx = AsyncMock() mock_response = AsyncMock() mock_response.content = "Did you know? The first computer bug was an actual bug!" mock_ctx.sample.return_value = mock_response # Call the underlying function directly with context result = await get_fun_fact.coroutine(ctx=mock_ctx) # Should return LLM-generated fallback content assert "Did you know? The first computer bug was an actual bug!" in result mock_ctx.sample.assert_called_once() @pytest.mark.asyncio async def test_get_trending_repos_success(self): """Test successful trending repos retrieval.""" mock_repos = [ {"name": "repo1", "description": "Test repo 1", "language": "Python", "stars": "1000", "url": "https://github.com/repo1"}, {"name": "repo2", "description": "Test repo 2", "language": "JavaScript", "stars": "500", "url": "https://github.com/repo2"} ] with patch('app.tools.meeting_tools.GitHubTrendingService') as mock_service_class: mock_service = AsyncMock() mock_service.get_trending_repos.return_value = mock_repos mock_service_class.return_value = mock_service # Call the underlying function directly result = await get_trending_repos.coroutine() assert "repo1" in result assert "repo2" in result assert "Python" in result assert "JavaScript" in result mock_service.get_trending_repos.assert_called_once() @pytest.mark.asyncio async def test_get_trending_repos_failure_with_llm_fallback(self): """Test trending repos retrieval failure with LLM fallback.""" with patch('app.tools.meeting_tools.GitHubTrendingService') as mock_service_class: mock_service = AsyncMock() mock_service.get_trending_repos.side_effect = Exception("API Error") mock_service_class.return_value = mock_service # Mock MCP context with LLM sampling mock_ctx = AsyncMock() mock_response = AsyncMock() mock_response.content = "• react/react - A JavaScript library for building user interfaces\n• vuejs/vue - Progressive JavaScript framework\n• angular/angular - Platform for building mobile and desktop web applications" mock_ctx.sample.return_value = mock_response # Call the underlying function directly with context result = await get_trending_repos.coroutine(ctx=mock_ctx) # Should return LLM-generated fallback content assert "react/react" in result assert "vuejs/vue" in result assert "angular/angular" in result mock_ctx.sample.assert_called_once()