Spaces:
Sleeping
Sleeping
File size: 9,168 Bytes
6a3de9e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 | """
Performance tests for the TodoAgent functionality.
These tests verify the performance characteristics of the AI agent including:
- Response time under various conditions
- Memory usage patterns
- Concurrency handling
- Resource utilization
"""
import asyncio
import time
import pytest
from unittest.mock import AsyncMock, MagicMock, patch
from ai.agents.todo_agent import TodoAgent
from models.conversation import Conversation
from uuid import UUID
@pytest.fixture
def todo_agent():
"""Create a TodoAgent instance for testing."""
agent = TodoAgent()
# Mock the internal components to avoid actual API calls
agent.client = MagicMock()
agent.config = MagicMock()
agent._agent = MagicMock()
return agent
@pytest.mark.asyncio
async def test_response_time_single_request(todo_agent):
"""Test response time for a single request."""
# Mock data
user_id = "test-user-123"
message = "Add a task: Buy groceries"
conversation = MagicMock()
conversation.id = UUID("12345678-1234-5678-1234-567812345678")
# Mock the runner response
mock_result = AsyncMock()
mock_result.final_output = "Task 'Buy groceries' added successfully"
with patch('ai.agents.todo_agent.Runner') as mock_runner:
mock_runner.run = AsyncMock(return_value=mock_result)
start_time = time.time()
result = await todo_agent.process_message(user_id, message, conversation)
end_time = time.time()
response_time = end_time - start_time
# Verify response time is reasonable (should be under 5 seconds even with mocked API delay)
assert response_time < 5.0
assert result["response"] == "Task 'Buy groceries' added successfully"
@pytest.mark.asyncio
async def test_response_time_multiple_requests_sequential(todo_agent):
"""Test response time for multiple sequential requests."""
messages = [
"Add a task: Buy groceries",
"Add a task: Clean the house",
"List my tasks",
"Complete task 1",
"Update task 2: Clean the entire house"
]
user_id = "test-user-123"
conversation = MagicMock()
conversation.id = UUID("12345678-1234-5678-1234-567812345678")
# Mock the runner response
mock_result = AsyncMock()
mock_result.final_output = "Processed successfully"
with patch('ai.agents.todo_agent.Runner') as mock_runner:
mock_runner.run = AsyncMock(return_value=mock_result)
total_start_time = time.time()
for i, message in enumerate(messages):
start_time = time.time()
result = await todo_agent.process_message(user_id, message, conversation)
end_time = time.time()
response_time = end_time - start_time
# Each individual request should be fast
assert response_time < 5.0
assert "response" in result
total_end_time = time.time()
total_time = total_end_time - total_start_time
# Total time for 5 requests should be reasonable
assert total_time < 25.0 # 5 requests * 5 seconds max each
@pytest.mark.asyncio
async def test_concurrent_request_handling(todo_agent):
"""Test how the agent handles concurrent requests."""
user_id = "test-user-123"
conversation = MagicMock()
conversation.id = UUID("12345678-1234-5678-1234-567812345678")
# Mock the runner response
mock_result = AsyncMock()
mock_result.final_output = "Processed successfully"
async def process_single_request(message):
with patch('ai.agents.todo_agent.Runner') as mock_runner:
mock_runner.run = AsyncMock(return_value=mock_result)
return await todo_agent.process_message(user_id, message, conversation)
# Create multiple concurrent requests
messages = [
"Add a task: Task 1",
"Add a task: Task 2",
"Add a task: Task 3",
"Add a task: Task 4",
"Add a task: Task 5"
]
start_time = time.time()
# Execute all requests concurrently
tasks = [process_single_request(msg) for msg in messages]
results = await asyncio.gather(*tasks)
end_time = time.time()
total_time = end_time - start_time
# Verify all requests completed successfully
assert len(results) == len(messages)
for result in results:
assert "response" in result
# Total time should be reasonable considering concurrency
# This should ideally be faster than sequential processing
assert total_time < 25.0 # Should be faster than 5 * 5 seconds sequential
@pytest.mark.asyncio
async def test_memory_usage_consistency(todo_agent):
"""Test that memory usage remains consistent across multiple requests."""
user_id = "test-user-123"
conversation = MagicMock()
conversation.id = UUID("12345678-1234-5678-1234-567812345678")
# Mock the runner response
mock_result = AsyncMock()
mock_result.final_output = "Processed successfully"
# Process multiple requests and verify no memory leaks
with patch('ai.agents.todo_agent.Runner') as mock_runner:
mock_runner.run = AsyncMock(return_value=mock_result)
for i in range(10): # Process 10 requests
message = f"Add a task: Test task {i}"
result = await todo_agent.process_message(user_id, message, conversation)
assert "response" in result
assert isinstance(result, dict)
# If we got here without memory issues, the test passes
@pytest.mark.asyncio
async def test_large_message_handling(todo_agent):
"""Test handling of large messages."""
user_id = "test-user-123"
conversation = MagicMock()
conversation.id = UUID("12345678-1234-5678-1234-567812345678")
# Create a large message
large_message = "Add a task: " + "very long description " * 1000
# Mock the runner response
mock_result = AsyncMock()
mock_result.final_output = "Task added successfully"
with patch('ai.agents.todo_agent.Runner') as mock_runner:
mock_runner.run = AsyncMock(return_value=mock_result)
start_time = time.time()
result = await todo_agent.process_message(user_id, large_message, conversation)
end_time = time.time()
response_time = end_time - start_time
# Should handle large messages within reasonable time
assert response_time < 10.0 # Allow more time for large messages
assert "response" in result
@pytest.mark.asyncio
async def test_command_recognition_performance(todo_agent):
"""Test performance of command recognition function."""
test_messages = [
"Add a task: Buy groceries",
"Show me my tasks",
"Complete task 1",
"Delete task 2",
"Update task 3 with new details",
"Random message that doesn't match anything",
"Another random message",
"Yet another test message",
"More tasks to add",
"Tasks to list"
]
start_time = time.time()
for msg in test_messages:
command = await todo_agent.recognize_command(msg)
# Verify command recognition doesn't throw errors
assert command is None or isinstance(command, str)
end_time = time.time()
total_time = end_time - start_time
avg_time_per_message = total_time / len(test_messages)
# Average time per message should be very fast (under 100ms per message)
assert avg_time_per_message < 0.1
@pytest.mark.asyncio
async def test_task_extraction_performance(todo_agent):
"""Test performance of task extraction function."""
test_messages = [
"Add task: Buy groceries",
"Create: Clean the house",
"New task - Walk the dog",
"Task: Prepare dinner with ingredients: chicken, vegetables, rice",
"Simple task: Read a book"
]
start_time = time.time()
for msg in test_messages:
details = todo_agent.extract_task_details(msg)
# Verify extraction doesn't throw errors
assert isinstance(details, dict)
assert "title" in details
end_time = time.time()
total_time = end_time - start_time
avg_time_per_message = total_time / len(test_messages)
# Average time per message should be very fast (under 10ms per message)
assert avg_time_per_message < 0.01
@pytest.mark.asyncio
async def test_error_handling_performance(todo_agent):
"""Test performance when handling errors."""
user_id = "test-user-123"
message = "Add a task: Buy groceries"
conversation = MagicMock()
conversation.id = UUID("12345678-1234-5678-1234-567812345678")
# Mock the runner to raise an exception
with patch('ai.agents.todo_agent.Runner') as mock_runner:
mock_runner.run = AsyncMock(side_effect=Exception("API Error"))
start_time = time.time()
result = await todo_agent.process_message(user_id, message, conversation)
end_time = time.time()
response_time = end_time - start_time
# Error handling should be fast
assert response_time < 2.0
assert "response" in result
assert "error" in result["response"]
if __name__ == "__main__":
pytest.main([__file__]) |