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Agentic AI System with MCP Integration

test_earnings.py1.36 kB
import os import pytest import requests from unittest.mock import patch from services.earnings import get_earnings @pytest.fixture def mock_env_key(): with patch.dict(os.environ, {"ALPHA_VANTAGE_KEY": "TEST_KEY"}): yield @patch('services.earnings.requests.get') def test_get_earnings_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 = {"annualReports": [], "quarterlyReports": []} data = get_earnings('MSFT') assert data is not None assert "annualReports" in data assert "quarterlyReports" in data mock_get.assert_called_once() @patch('services.earnings.requests.get') def test_get_earnings_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_earnings('MSFT') assert data is None mock_get.assert_called_once() @patch('services.earnings.requests.get') def test_get_earnings_empty_reports(mock_get, mock_env_key): mock_response = mock_get.return_value mock_response.raise_for_status.return_value = None mock_response.json.return_value = {} data = get_earnings('GOOGL') assert data is not None assert not data mock_get.assert_called_once()

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