| | |
| | """ |
| | Integration test for GAIA Agents |
| | Tests Web Researcher, File Processor, and Reasoning agents |
| | """ |
| |
|
| | import os |
| | import sys |
| | import time |
| | import tempfile |
| | from pathlib import Path |
| |
|
| | |
| | sys.path.insert(0, str(Path(__file__).parent)) |
| |
|
| | from agents.state import GAIAAgentState, QuestionType |
| | from agents.web_researcher import WebResearchAgent |
| | from agents.file_processor_agent import FileProcessorAgent |
| | from agents.reasoning_agent import ReasoningAgent |
| | from models.qwen_client import QwenClient |
| |
|
| | def test_agents(): |
| | """Test all implemented agents""" |
| | |
| | print("🤖 GAIA Agents Integration Test") |
| | print("=" * 50) |
| | |
| | |
| | try: |
| | llm_client = QwenClient() |
| | except Exception as e: |
| | print(f"❌ Failed to initialize LLM client: {e}") |
| | return False |
| | |
| | results = [] |
| | start_time = time.time() |
| | |
| | |
| | print("\n🌐 Testing Web Research Agent...") |
| | web_agent = WebResearchAgent(llm_client) |
| | |
| | web_test_cases = [ |
| | { |
| | "question": "What is the capital of France?", |
| | "question_type": QuestionType.WIKIPEDIA, |
| | "complexity": "simple" |
| | }, |
| | { |
| | "question": "Find information about Python programming language", |
| | "question_type": QuestionType.WEB_RESEARCH, |
| | "complexity": "medium" |
| | } |
| | ] |
| | |
| | for i, test_case in enumerate(web_test_cases, 1): |
| | state = GAIAAgentState() |
| | state.question = test_case["question"] |
| | state.question_type = test_case["question_type"] |
| | state.complexity_assessment = test_case["complexity"] |
| | |
| | try: |
| | result_state = web_agent.process(state) |
| | success = len(result_state.agent_results) > 0 and list(result_state.agent_results.values())[-1].success |
| | results.append(('Web Research', f'Test {i}', success, list(result_state.agent_results.values())[-1].processing_time if result_state.agent_results else 0)) |
| | status = "✅ PASS" if success else "❌ FAIL" |
| | print(f" Test {i}: {status}") |
| | |
| | except Exception as e: |
| | results.append(('Web Research', f'Test {i}', False, 0)) |
| | print(f" Test {i}: ❌ FAIL ({e})") |
| | |
| | |
| | print("\n📁 Testing File Processor Agent...") |
| | file_agent = FileProcessorAgent(llm_client) |
| | |
| | |
| | with tempfile.TemporaryDirectory() as temp_dir: |
| | |
| | csv_path = os.path.join(temp_dir, "test.csv") |
| | with open(csv_path, 'w') as f: |
| | f.write("name,age,salary\nAlice,25,50000\nBob,30,60000\nCharlie,35,70000") |
| | |
| | |
| | py_path = os.path.join(temp_dir, "test.py") |
| | with open(py_path, 'w') as f: |
| | f.write("def calculate_sum(a, b):\n return a + b\n\nresult = calculate_sum(5, 3)") |
| | |
| | file_test_cases = [ |
| | { |
| | "question": "What is the average salary in this data?", |
| | "file_path": csv_path, |
| | "question_type": QuestionType.FILE_PROCESSING, |
| | "complexity": "medium" |
| | }, |
| | { |
| | "question": "What does this Python code do?", |
| | "file_path": py_path, |
| | "question_type": QuestionType.FILE_PROCESSING, |
| | "complexity": "simple" |
| | } |
| | ] |
| | |
| | for i, test_case in enumerate(file_test_cases, 1): |
| | state = GAIAAgentState() |
| | state.question = test_case["question"] |
| | state.file_path = test_case["file_path"] |
| | state.question_type = test_case["question_type"] |
| | state.complexity_assessment = test_case["complexity"] |
| | |
| | try: |
| | result_state = file_agent.process(state) |
| | success = len(result_state.agent_results) > 0 and list(result_state.agent_results.values())[-1].success |
| | results.append(('File Processor', f'Test {i}', success, list(result_state.agent_results.values())[-1].processing_time if result_state.agent_results else 0)) |
| | status = "✅ PASS" if success else "❌ FAIL" |
| | print(f" Test {i}: {status}") |
| | |
| | except Exception as e: |
| | results.append(('File Processor', f'Test {i}', False, 0)) |
| | print(f" Test {i}: ❌ FAIL ({e})") |
| | |
| | |
| | print("\n🧠 Testing Reasoning Agent...") |
| | reasoning_agent = ReasoningAgent(llm_client) |
| | |
| | reasoning_test_cases = [ |
| | { |
| | "question": "Calculate 15% of 200", |
| | "question_type": QuestionType.REASONING, |
| | "complexity": "simple" |
| | }, |
| | { |
| | "question": "Convert 100 celsius to fahrenheit", |
| | "question_type": QuestionType.REASONING, |
| | "complexity": "simple" |
| | }, |
| | { |
| | "question": "What is the average of 10, 15, 20, 25, 30?", |
| | "question_type": QuestionType.REASONING, |
| | "complexity": "medium" |
| | } |
| | ] |
| | |
| | for i, test_case in enumerate(reasoning_test_cases, 1): |
| | state = GAIAAgentState() |
| | state.question = test_case["question"] |
| | state.question_type = test_case["question_type"] |
| | state.complexity_assessment = test_case["complexity"] |
| | |
| | try: |
| | result_state = reasoning_agent.process(state) |
| | success = len(result_state.agent_results) > 0 and list(result_state.agent_results.values())[-1].success |
| | results.append(('Reasoning', f'Test {i}', success, list(result_state.agent_results.values())[-1].processing_time if result_state.agent_results else 0)) |
| | status = "✅ PASS" if success else "❌ FAIL" |
| | print(f" Test {i}: {status}") |
| | |
| | except Exception as e: |
| | results.append(('Reasoning', f'Test {i}', False, 0)) |
| | print(f" Test {i}: ❌ FAIL ({e})") |
| | |
| | |
| | total_time = time.time() - start_time |
| | passed_tests = sum(1 for _, _, success, _ in results if success) |
| | total_tests = len(results) |
| | |
| | print("\n" + "=" * 50) |
| | print("📊 AGENT TEST RESULTS") |
| | print("=" * 50) |
| | |
| | |
| | agents = {} |
| | for agent, test, success, exec_time in results: |
| | if agent not in agents: |
| | agents[agent] = {'passed': 0, 'total': 0, 'time': 0} |
| | agents[agent]['total'] += 1 |
| | agents[agent]['time'] += exec_time |
| | if success: |
| | agents[agent]['passed'] += 1 |
| | |
| | for agent, stats in agents.items(): |
| | pass_rate = (stats['passed'] / stats['total']) * 100 |
| | avg_time = stats['time'] / stats['total'] |
| | status = "✅" if pass_rate == 100 else "⚠️" if pass_rate >= 80 else "❌" |
| | print(f"{status} {agent:15}: {stats['passed']}/{stats['total']} ({pass_rate:5.1f}%) - Avg: {avg_time:.3f}s") |
| | |
| | |
| | overall_pass_rate = (passed_tests / total_tests) * 100 |
| | print(f"\n🎯 OVERALL: {passed_tests}/{total_tests} tests passed ({overall_pass_rate:.1f}%)") |
| | print(f"⏱️ TOTAL TIME: {total_time:.2f} seconds") |
| | |
| | |
| | if overall_pass_rate >= 80: |
| | print("🚀 AGENTS READY! Multi-agent system is working correctly!") |
| | return True |
| | else: |
| | print("⚠️ ISSUES FOUND! Check individual agent failures above") |
| | return False |
| |
|
| | if __name__ == "__main__": |
| | success = test_agents() |
| | sys.exit(0 if success else 1) |