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Agentic AI System with MCP Integration

test_news_sentiment.py1.6 kB
import os import pytest import requests from unittest.mock import patch from services.news_sentiment import get_news_sentiment @pytest.fixture def mock_env_key(): with patch.dict(os.environ, {"ALPHA_VANTAGE_KEY": "TEST_KEY"}): yield @patch('services.news_sentiment.requests.get') def test_get_news_sentiment_success(mock_get, mock_env_key): mock_response = mock_get.return_value mock_response.raise_for_status.return_value = None mock_response.json.return_value = {"feed": [{"title": "News 1"}, {"title": "News 2"}]} data = get_news_sentiment(tickers='AAPL') assert data is not None assert "feed" in data assert len(data['feed']) == 2 mock_get.assert_called_once() @patch('services.news_sentiment.requests.get') def test_get_news_sentiment_failure(mock_get, mock_env_key): mock_response = mock_get.return_value mock_response.raise_for_status.side_effect = requests.exceptions.RequestException("API Error") data = get_news_sentiment(tickers='AAPL') assert data is None mock_get.assert_called_once() @patch('services.news_sentiment.requests.get') def test_get_news_sentiment_with_params(mock_get, mock_env_key): mock_response = mock_get.return_value mock_response.raise_for_status.return_value = None mock_response.json.return_value = {"feed": []} get_news_sentiment(tickers='GOOGL', topics='technology', time_from='20230101') mock_get.assert_called_once() args, kwargs = mock_get.call_args assert 'tickers' in kwargs['params'] assert 'topics' in kwargs['params'] assert 'time_from' in kwargs['params']

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