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#!/usr/bin/env python3
"""
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
# Add src to path for imports
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("π€ GAIA Agents Integration Test")
print("=" * 50)
# Initialize LLM client
try:
llm_client = QwenClient()
except Exception as e:
print(f"β Failed to initialize LLM client: {e}")
return False
results = []
start_time = time.time()
# Test 1: Web Research Agent
print("\nπ 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 = "β
PASS" if success else "β FAIL"
print(f" Test {i}: {status}")
except Exception as e:
results.append(('Web Research', f'Test {i}', False, 0))
print(f" Test {i}: β FAIL ({e})")
# Test 2: File Processor Agent
print("\nπ Testing File Processor Agent...")
file_agent = FileProcessorAgent(llm_client)
# Create test files
with tempfile.TemporaryDirectory() as temp_dir:
# Create CSV test file
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")
# Create Python test file
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 = "β
PASS" if success else "β FAIL"
print(f" Test {i}: {status}")
except Exception as e:
results.append(('File Processor', f'Test {i}', False, 0))
print(f" Test {i}: β FAIL ({e})")
# Test 3: Reasoning Agent
print("\nπ§ 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 = "β
PASS" if success else "β FAIL"
print(f" Test {i}: {status}")
except Exception as e:
results.append(('Reasoning', f'Test {i}', False, 0))
print(f" Test {i}: β FAIL ({e})")
# Summary
total_time = time.time() - start_time
passed_tests = sum(1 for _, _, success, _ in results if success)
total_tests = len(results)
print("\n" + "=" * 50)
print("π AGENT TEST RESULTS")
print("=" * 50)
# Results by agent
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 = "β
" if pass_rate == 100 else "β οΈ" if pass_rate >= 80 else "β"
print(f"{status} {agent:15}: {stats['passed']}/{stats['total']} ({pass_rate:5.1f}%) - Avg: {avg_time:.3f}s")
# Overall results
overall_pass_rate = (passed_tests / total_tests) * 100
print(f"\nπ― OVERALL: {passed_tests}/{total_tests} tests passed ({overall_pass_rate:.1f}%)")
print(f"β±οΈ TOTAL TIME: {total_time:.2f} seconds")
# Success criteria
if overall_pass_rate >= 80:
print("π AGENTS READY! Multi-agent system is working correctly!")
return True
else:
print("β οΈ ISSUES FOUND! Check individual agent failures above")
return False
if __name__ == "__main__":
success = test_agents()
sys.exit(0 if success else 1) |