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Add test_agent.py with unit tests for AgentRunner functionality, including tests for question handling and basic math calculations. Implement logging for better traceability during tests.
Browse files- test_agent.py +142 -0
test_agent.py
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import logging
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import pytest
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import requests
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from agent import AgentRunner
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# Configure logging
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s - %(levelname)s - %(message)s'
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)
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logger = logging.getLogger(__name__)
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# Suppress specific warnings
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pytestmark = pytest.mark.filterwarnings(
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"ignore::DeprecationWarning:httpx._models"
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)
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# Constants
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DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
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QUESTIONS_URL = f"{DEFAULT_API_URL}/questions"
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@pytest.fixture(scope="session")
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def agent():
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"""Fixture to create and return an AgentRunner instance."""
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logger.info("Creating AgentRunner instance")
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return AgentRunner()
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# @pytest.fixture(scope="session")
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# def questions_data():
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# """Fixture to fetch questions from the API."""
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# logger.info(f"Fetching questions from: {QUESTIONS_URL}")
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# try:
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# response = requests.get(QUESTIONS_URL, timeout=15)
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# response.raise_for_status()
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# data = response.json()
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# if not data:
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# logger.error("Fetched questions list is empty.")
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# return []
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# logger.info(f"Fetched {len(data)} questions.")
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# return data
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# except requests.exceptions.RequestException as e:
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# logger.error(f"Error fetching questions: {e}")
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# return []
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# except requests.exceptions.JSONDecodeError as e:
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# logger.error(f"Error decoding JSON response from questions endpoint: {e}")
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# return []
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# except Exception as e:
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# logger.error(f"An unexpected error occurred fetching questions: {e}")
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# return []
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#
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# class TestAppQuestions:
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# """Test cases for questions from the app."""
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#
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# def test_first_app_question(self, agent, questions_data):
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# """Test the agent's response to the first app question."""
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# if not questions_data:
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# pytest.skip("No questions available from API")
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#
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# first_question = questions_data[0]
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# question_text = first_question.get("question")
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# task_id = first_question.get("task_id")
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#
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# if not question_text or not task_id:
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# pytest.skip("First question is missing required fields")
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#
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# logger.info(f"Testing with app question: {question_text}")
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#
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# response = agent(question_text)
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# logger.info(f"Agent response: {response}")
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#
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# # Check that the response contains the expected information
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# assert "Mercedes Sosa" in response, "Response should mention Mercedes Sosa"
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# assert "studio albums" in response.lower(), "Response should mention studio albums"
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# assert "2000" in response and "2009" in response, "Response should mention the year range"
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#
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# # Verify that a number is mentioned (either as word or digit)
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# import re
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# number_pattern = r'\b(one|two|three|four|five|six|seven|eight|nine|ten|\d+)\b'
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# has_number = bool(re.search(number_pattern, response.lower()))
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# assert has_number, "Response should include the number of albums"
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#
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# # Check for album names in the response
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# known_albums = [
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# "Corazón Libre",
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# "Cantora",
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# "Hermano",
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# "Acústico",
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# "Argentina quiere cantar"
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# ]
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# found_albums = [album for album in known_albums if album in response]
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# assert len(found_albums) > 0, "Response should mention at least some of the known albums"
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#
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# # Check for a structured response
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# assert re.search(r'\d+\.\s+[^(]+\(\d{4}\)', response), \
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# "Response should list albums with years"
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class TestBasicCodeAgentCapabilities:
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"""Test cases for basic CodeAgent capabilities using examples from the YAML file."""
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def test_simple_math_calculation(self, agent):
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"""Test the agent's ability to perform basic mathematical operations."""
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# Test the second example from code_agent.yaml
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question = "What is the result of the following operation: 5 + 3 + 1294.678?"
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logger.info("Testing simple math calculation capabilities")
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logger.info(f"Question: {question}")
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response = agent(question)
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logger.info(f"Agent response: {response}")
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# Verify the response contains the correct result
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expected_result = str(5 + 3 + 1294.678)
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assert expected_result in response, f"Response should contain the result {expected_result}"
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# Check that the response is a clear answer
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assert "answer" in response.lower(), "Response should indicate it's providing an answer"
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def test_document_qa_and_image_generation(self, agent):
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"""Test the agent's ability to process a document QA task and generate an image."""
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# Test the first example from code_agent.yaml
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question = "Generate an image of the oldest person in this document."
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logger.info("Testing document QA and image generation capabilities")
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logger.info(f"Question: {question}")
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response = agent(question)
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logger.info(f"Agent response: {response}")
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# Verify the response contains key elements
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assert "Bob Wilson" in response, "Response should identify Bob Wilson as the oldest person"
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assert "60" in response, "Response should mention the age 60"
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assert "engineer" in response, "Response should mention the profession"
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assert "Vancouver" in response, "Response should mention the location"
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# Check for image generation related content
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assert "image" in response.lower() or "portrait" in response.lower(), \
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"Response should indicate image generation"
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assert "description" in response.lower(), \
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"Response should include a description of the image"
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if __name__ == "__main__":
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pytest.main([__file__, "-v", "-x"])
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