File size: 14,348 Bytes
ea8c728 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 | """
Integration tests that validate existing examples work correctly.
These tests verify that evaluators, configs, and initial programs are properly set up.
"""
import importlib.util
import os
import sys
import tempfile
import shutil
import unittest
from pathlib import Path
from unittest.mock import patch
# Add project root to path
PROJECT_ROOT = Path(__file__).parent.parent.parent
sys.path.insert(0, str(PROJECT_ROOT))
from openevolve.config import Config, load_config
from openevolve.evaluator import Evaluator
class TestFunctionMinimizationExample(unittest.TestCase):
"""Integration tests for the function_minimization example"""
EXAMPLE_DIR = PROJECT_ROOT / "examples" / "function_minimization"
def test_config_loads(self):
"""Test that the config file loads without errors"""
config_path = self.EXAMPLE_DIR / "config.yaml"
if not config_path.exists():
self.skipTest("function_minimization config not found")
config = load_config(str(config_path))
self.assertIsInstance(config, Config)
self.assertGreater(config.max_iterations, 0)
def test_initial_program_exists(self):
"""Test that the initial program file exists"""
program_path = self.EXAMPLE_DIR / "initial_program.py"
self.assertTrue(program_path.exists(), "initial_program.py should exist")
def test_initial_program_has_evolve_block(self):
"""Test that the initial program has EVOLVE-BLOCK markers"""
program_path = self.EXAMPLE_DIR / "initial_program.py"
if not program_path.exists():
self.skipTest("initial_program.py not found")
content = program_path.read_text()
self.assertIn("EVOLVE-BLOCK-START", content)
self.assertIn("EVOLVE-BLOCK-END", content)
def test_evaluator_exists(self):
"""Test that the evaluator file exists"""
evaluator_path = self.EXAMPLE_DIR / "evaluator.py"
self.assertTrue(evaluator_path.exists(), "evaluator.py should exist")
def test_evaluator_has_evaluate_function(self):
"""Test that the evaluator has an evaluate function"""
evaluator_path = self.EXAMPLE_DIR / "evaluator.py"
if not evaluator_path.exists():
self.skipTest("evaluator.py not found")
spec = importlib.util.spec_from_file_location("evaluator", evaluator_path)
evaluator_module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(evaluator_module)
self.assertTrue(hasattr(evaluator_module, "evaluate"))
self.assertTrue(callable(evaluator_module.evaluate))
def test_evaluator_runs_on_initial_program(self):
"""Test that the evaluator can evaluate the initial program"""
evaluator_path = self.EXAMPLE_DIR / "evaluator.py"
program_path = self.EXAMPLE_DIR / "initial_program.py"
if not evaluator_path.exists() or not program_path.exists():
self.skipTest("Example files not found")
# Load evaluator
spec = importlib.util.spec_from_file_location("evaluator", evaluator_path)
evaluator_module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(evaluator_module)
# Run evaluation
result = evaluator_module.evaluate(str(program_path))
# Check result structure
if hasattr(result, 'metrics'):
# EvaluationResult object
metrics = result.metrics
else:
# Dictionary
metrics = result
self.assertIn("combined_score", metrics)
self.assertIsInstance(metrics["combined_score"], (int, float))
class TestCirclePackingExample(unittest.TestCase):
"""Integration tests for the circle_packing example"""
EXAMPLE_DIR = PROJECT_ROOT / "examples" / "circle_packing"
def test_config_loads(self):
"""Test that config files load without errors"""
for config_name in ["config_phase_1.yaml", "config_phase_2.yaml"]:
config_path = self.EXAMPLE_DIR / config_name
if config_path.exists():
config = load_config(str(config_path))
self.assertIsInstance(config, Config)
def test_evaluator_exists(self):
"""Test that evaluator exists"""
evaluator_path = self.EXAMPLE_DIR / "evaluator.py"
self.assertTrue(evaluator_path.exists(), "evaluator.py should exist")
def test_evaluator_has_evaluate_function(self):
"""Test that the evaluator has required functions"""
evaluator_path = self.EXAMPLE_DIR / "evaluator.py"
if not evaluator_path.exists():
self.skipTest("evaluator.py not found")
spec = importlib.util.spec_from_file_location("evaluator", evaluator_path)
evaluator_module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(evaluator_module)
self.assertTrue(hasattr(evaluator_module, "evaluate"))
class TestSignalProcessingExample(unittest.TestCase):
"""Integration tests for the signal_processing example"""
EXAMPLE_DIR = PROJECT_ROOT / "examples" / "signal_processing"
def test_config_loads(self):
"""Test that the config file loads"""
config_path = self.EXAMPLE_DIR / "config.yaml"
if not config_path.exists():
self.skipTest("signal_processing config not found")
config = load_config(str(config_path))
self.assertIsInstance(config, Config)
def test_evaluator_exists(self):
"""Test that evaluator exists"""
evaluator_path = self.EXAMPLE_DIR / "evaluator.py"
if not evaluator_path.exists():
self.skipTest("evaluator.py not found")
self.assertTrue(evaluator_path.exists())
class TestEvaluatorIntegration(unittest.TestCase):
"""Integration tests for the Evaluator class with real examples"""
def test_evaluator_loads_function_minimization(self):
"""Test that Evaluator can load the function_minimization evaluator"""
evaluator_path = PROJECT_ROOT / "examples" / "function_minimization" / "evaluator.py"
if not evaluator_path.exists():
self.skipTest("function_minimization evaluator not found")
from openevolve.config import EvaluatorConfig
config = EvaluatorConfig(timeout=30, cascade_evaluation=True)
evaluator = Evaluator(config, str(evaluator_path))
self.assertIsNotNone(evaluator.evaluate_function)
self.assertTrue(callable(evaluator.evaluate_function))
def test_evaluator_module_has_cascade_functions(self):
"""Test that function_minimization evaluator has cascade functions"""
evaluator_path = PROJECT_ROOT / "examples" / "function_minimization" / "evaluator.py"
if not evaluator_path.exists():
self.skipTest("function_minimization evaluator not found")
# Load the module directly to check for cascade functions
spec = importlib.util.spec_from_file_location("evaluator", evaluator_path)
module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(module)
# function_minimization has evaluate_stage1 and evaluate_stage2
self.assertTrue(hasattr(module, "evaluate_stage1"))
self.assertTrue(hasattr(module, "evaluate_stage2"))
self.assertTrue(callable(module.evaluate_stage1))
self.assertTrue(callable(module.evaluate_stage2))
class TestConfigIntegration(unittest.TestCase):
"""Integration tests for config loading across examples"""
@patch.dict(os.environ, {"ANTHROPIC_API_KEY": "test-key"})
def test_all_example_configs_load(self):
"""Test that all example config files can be loaded"""
examples_dir = PROJECT_ROOT / "examples"
failed_configs = []
for config_path in examples_dir.rglob("*config*.yaml"):
try:
config = load_config(str(config_path))
self.assertIsInstance(config, Config)
except Exception as e:
failed_configs.append((str(config_path), str(e)))
if failed_configs:
failure_msg = "\n".join([f"{path}: {error}" for path, error in failed_configs])
self.fail(f"Failed to load configs:\n{failure_msg}")
def test_config_has_required_sections(self):
"""Test that loaded configs have required sections"""
config_path = PROJECT_ROOT / "examples" / "function_minimization" / "config.yaml"
if not config_path.exists():
self.skipTest("function_minimization config not found")
config = load_config(str(config_path))
# Check required sections
self.assertIsNotNone(config.llm)
self.assertIsNotNone(config.database)
self.assertIsNotNone(config.evaluator)
self.assertIsNotNone(config.prompt)
class TestEndToEndWithMockedLLM(unittest.TestCase):
"""End-to-end tests with mocked LLM responses"""
def setUp(self):
"""Set up test fixtures"""
self.temp_dir = tempfile.mkdtemp()
self.example_dir = PROJECT_ROOT / "examples" / "function_minimization"
def tearDown(self):
"""Clean up"""
shutil.rmtree(self.temp_dir, ignore_errors=True)
def test_database_stores_and_retrieves_programs(self):
"""Test that the database can store and retrieve programs"""
from openevolve.database import ProgramDatabase, Program, DatabaseConfig
config = DatabaseConfig(population_size=100)
db = ProgramDatabase(config)
# Add a program
program = Program(
id="test_prog_1",
code="def test(): return 42",
generation=0,
metrics={"combined_score": 0.5},
)
db.add(program)
# Retrieve it
retrieved = db.programs.get("test_prog_1")
self.assertIsNotNone(retrieved)
self.assertEqual(retrieved.code, "def test(): return 42")
def test_program_evolution_tracking(self):
"""Test that program generations are tracked correctly"""
from openevolve.database import ProgramDatabase, Program, DatabaseConfig
config = DatabaseConfig(population_size=100)
db = ProgramDatabase(config)
# Add parent program
parent = Program(
id="parent_1",
code="def test(): return 1",
generation=0,
metrics={"combined_score": 0.3},
)
db.add(parent)
# Add child program
child = Program(
id="child_1",
code="def test(): return 2",
generation=1,
parent_id="parent_1",
metrics={"combined_score": 0.5},
)
db.add(child)
# Verify relationships
self.assertEqual(db.programs["child_1"].parent_id, "parent_1")
self.assertEqual(db.programs["child_1"].generation, 1)
def test_evaluator_returns_evaluation_result(self):
"""Test that evaluators return proper EvaluationResult objects"""
from openevolve.evaluation_result import EvaluationResult
evaluator_path = self.example_dir / "evaluator.py"
program_path = self.example_dir / "initial_program.py"
if not evaluator_path.exists() or not program_path.exists():
self.skipTest("Example files not found")
spec = importlib.util.spec_from_file_location("evaluator", evaluator_path)
evaluator_module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(evaluator_module)
result = evaluator_module.evaluate(str(program_path))
# Should be an EvaluationResult or dict with metrics
if isinstance(result, EvaluationResult):
self.assertIn("combined_score", result.metrics)
else:
self.assertIn("combined_score", result)
class TestExampleStructure(unittest.TestCase):
"""Tests to verify example directory structure is correct"""
def test_examples_have_required_files(self):
"""Test that examples have the minimum required files"""
examples_dir = PROJECT_ROOT / "examples"
# These examples should have at least a config and evaluator
required_examples = [
"function_minimization",
"circle_packing",
]
for example_name in required_examples:
example_dir = examples_dir / example_name
if not example_dir.exists():
continue
# Check for config
config_files = list(example_dir.glob("*config*.yaml"))
self.assertGreater(
len(config_files), 0,
f"{example_name} should have at least one config file"
)
# Check for evaluator
evaluator_path = example_dir / "evaluator.py"
self.assertTrue(
evaluator_path.exists(),
f"{example_name} should have evaluator.py"
)
def test_evaluators_are_importable(self):
"""Test that all evaluators can be imported without errors"""
examples_dir = PROJECT_ROOT / "examples"
failed_imports = []
for evaluator_path in examples_dir.rglob("evaluator.py"):
try:
spec = importlib.util.spec_from_file_location(
f"evaluator_{evaluator_path.parent.name}",
evaluator_path
)
module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(module)
# Verify evaluate function exists
if not hasattr(module, "evaluate"):
failed_imports.append(
(str(evaluator_path), "Missing evaluate function")
)
except Exception as e:
failed_imports.append((str(evaluator_path), str(e)))
if failed_imports:
# Only fail if critical examples fail
critical_failures = [
f for f in failed_imports
if "function_minimization" in f[0] or "circle_packing" in f[0]
]
if critical_failures:
failure_msg = "\n".join(
[f"{path}: {error}" for path, error in critical_failures]
)
self.fail(f"Critical evaluators failed to import:\n{failure_msg}")
if __name__ == "__main__":
unittest.main()
|